Month: March 2022

Release – CanAlaska – Waterbury South Uranium Targets Extended in Latest Winter Drill Program

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Waterbury South Uranium Targets Extended in Latest Winter Drill Program

Research, News, and Market Data on CanAlaska Uranium

 

 Strong Clay and Sulfide Alteration Halo Associated With Previously Discovered Polymetallic Uranium Mineralization Extended

 Structurally-Complex Area Identified in Sandstone and Deep Into Basement

 Update on Corporate Activities in the Athabasca Basin and Thompson Nickel Belt

 Vancouver, Canada, March 31, 2022 – CanAlaska Uranium Ltd. (TSX-V: CVV; OTCQB: CVVUF; Frankfurt: DH7N) (“CanAlaska” or the “Company”) is pleased to announce the successful completion of the 2022 drilling program at its 100%-owned Waterbury South uranium project. The project is located approximately 10 km southeast of the producing Cigar Lake uranium mine in the Eastern Athabasca Basin (Figure 1).

 

Figure 1 – Property location map for the Waterbury South project.

The drill program was focused on extending and understanding the geological controls of the polymetallic unconformity uranium mineralization associated with nickel, arsenic, cobalt, and zinc, intersected during the previous 2021 winter drill program (see News Release dated June 17, 2021). Program objectives were successfully met with the completion of six drill holes totalling 2,787 metres (m). Results indicate a structurally-complex fault system that extends the footprint of previously intersected strong sandstone and deep basement alteration.

 

Figure 2 – Drillhole section along WAT009 and WAT010 showing the distribution of the strong alteration
and structure in the lower sandstone and basement along the fence.

Drillhole WAT010, drilled along the same fence as WAT009, targeted the unconformity projection of strong faulting intersected in the basement of WAT009. WAT010 intersected the unconformity target approximately 52 m north of WAT009 on section. The drillhole intersected a strongly altered and structured lower sandstone column with strong bleaching, pyrite, clay alteration, secondary hematite, desilicification, and clay-replaced sandstone (Figure 2). Strong bleaching and chlorite alteration extends over 60 m into the basement on WAT 010 and is associated with quartz-carbonate healed breccias that contain brittle reactivation . Based on the intensity of structure and alteration in the sandstone column, WAT010 is interpreted to have overshot the ideal target at the unconformity. The results on this fence from both 2021 and 2022 drilling indicate that strong hydrothermal alteration and fault structures are present above the unconformity and extend deep into the basement indicating the possible presence of a large mineralizing event nearby.

Drillhole WAT012  to the east of WAT010 confirmed the strike extension of strong alteration within WAT009 and WAT010. WAT012 intersected the unconformity approximately 55 m east of WAT009 (Figure 3). The lower sandstone column contains a five metre wide zone of strong hydrothermal alteration including bleaching, patches of strong black sulfide alteration, clay and chlorite, similar to WAT009 and WAT010. The strong bleaching and clay alteration extends into the upper four metres of the basement. Nearly 70 m below the unconformity, a series of 1 to 4 m wide strongly graphitic and re-activated fault zones characterized by broken core and quartz-carbonate healed breccias were intersected indicating further evidence of a major graphitic fault system in the basement. WAT012 is interpreted to have undershot the ideal target at the unconformity. WAT 014 was drilled to test the structural complexity in the area; it intersected bedding-controlled sulfide alteration throughout the lower sandstone column.

 

Figure 3 – Map of the Waterbury South project shows the complex structural relationship between
the drillholes completed to date and the currently defined sandstone alteration.

The drillholes completed during the program show evidence for multiple orientations of re-activated fault structures. These fault structures are parallel and cross-cutting to the basement stratigraphy in the area. In other uranium deposits such as Eagle Point, cross-cutting and splay faults play a very important role in controlling and localizing fluid movement along the main graphitic strucures. In the case of Eagle Point, these cross-cutting and splay structures can be strongly altered and mineralized for several hundred metres away from the mine area. The sandstone and deep basement faults with strong alteration are indicative of the presence of hydrothermal processes generally associated with a uranium mineralizing event. Given the structural complexity encountered in the 2022 program, the Company is investigating use of high resolution geophysical surveys to plan the next phase of drilling.

Geochemical assay results for the 2022 drilling program are pending.

CanAlaska VP Exploration, Nathan Bridge, comments, “The CanAlaska team set out to understand the controls on the previously discovered polymetallic unconformity uranium mineralization in WAT009. The strong alteration system in WAT009, that is host to high-grade nickel-sulfides and associated uranium mineralization, was extended to the east and remains open in several directions. The Waterbury South area is structurally-complex, with multiple fault orientations and deep basement alteration that suggests multiple periods of reactivation and hydrothermal fluid-movement, key to uranium deposit formation in the Athabasca Basin. The results obtained during this drill season are promising and several kilometers of strike length remain open along this structural corridor.”

 CanAlaska CEO, Cory Belyk, comments, “The 2022 program significantly increased our knowledge of the polymetallic uranium mineralization drilled in 2021. Continuation of strong sandstone and deep basement alteration along major structures is very encouraging and is an important aspect in nearly all uranium deposits in the Basin, specifically basement-hosted uranium deposits such as Eagle Point, where altered and mineralized cross-structures extend for several hundred metres away from the main deposit. The team did a great job of working out the geology and results from this program have generated nearby targets for the next round of drilling.”

 

Corporate Update

West McArthur Drill Preparation:

The Company has nearly completed its detailed Stepwise Moving Loop Time Domain Electromagnetic Survey (TDEM) on its West McArthur Joint Venture project. The geophysical survey is part of the approved $5 million 2022 exploration program. Preliminary survey results show multiple strong conductive responses along the Grid 5 trend that appear to be associated with newly interpreted potential folds and fault structures. The Company anticipates the program will be complete in early April and targets from the survey will be ready for drill testing during the upcoming summer exploration program.

Key Extension Ground Gravity Survey:

A ground gravity survey at the Company’s new Key Extension project is over 50% complete. Preliminary processing of the data has identified a series of gravity low features that are associated with conductors on the property. These initial results are encouraging as this association is common in many basement-hosted uranium deposits. The Company plans to release the results of the survey once the full data set has been received and final processing has been completed in preparation for the inaugural drilling program later in the year.

Manibridge Drill Program

Drilling at the Company’s Manibridge project is ongoing. The drilling program is being fully funded by Metal Energy Corp. as part of a staged earn-in option agreement. Metal Energy have earned a 49% interest in the property and have elected to proceed with the 70% earn-in option. CanAlaska is the current operator on the project and drilling is ongoing.

Hunter Geophysics

In the Thompson Nickel Belt, the Company is preparing for an airborne VTEM survey on it’s 100%-owned Hunter nickel project.

 

About CanAlaska Uranium

CanAlaska Uranium Ltd. (TSX-V: CVV; OTCQB: CVVUF; Frankfurt: DH7N) holds interests in approximately 300,000 hectares (750,000 acres), in Canada’s Athabasca Basin – the “Saudi Arabia of Uranium.”  CanAlaska’s strategic holdings have attracted major international mining companies. CanAlaska is currently working with Cameco and Denison at two of the Company’s properties in the Eastern Athabasca Basin. CanAlaska is a project generator positioned for discovery success in the world’s richest uranium district. The Company also holds properties prospective for nickel, copper, gold and diamonds.

The qualified technical person for this news release is Nathan Bridge, MSc., P.Geo., CanAlaska’s Vice President, Exploration.

For further information visit www.canalaska.com.

On behalf of the Board of Directors

“Peter Dasler”
Peter Dasler, M.Sc., P.Geo.
President
CanAlaska Uranium Ltd.

Contacts:

Peter Dasler, President
Tel: +1.604.688.3211 x 138
Email: info@canalaska.com

Cory Belyk, CEO and Executive Vice President
Tel: +1.604.688.3211 x 138
Email: cbelyk@canalaska.com

Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

Forward-looking information

All statements included in this press release that address activities, events or developments that the Company expects, believes or anticipates will or may occur in the future are forward-looking statements. These forward-looking statements involve numerous assumptions made by the Company based on its experience, perception of historical trends, current conditions, expected future developments and other factors it believes are appropriate in the circumstances. In addition, these statements involve substantial known and unknown risks and uncertainties that contribute to the possibility that the predictions, forecasts, projections and other forward-looking statements will prove inaccurate, certain of which are beyond the Company’s control. Readers should not place undue reliance on forward-looking statements. Except as required by law, the Company does not intend to revise or update these forward-looking statements after the date hereof or revise them to reflect the occurrence of future unanticipated events.

Waterbury South Uranium Targets Extended in Latest Winter Drill Program

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Waterbury South Uranium Targets Extended in Latest Winter Drill Program

Research, News, and Market Data on CanAlaska Uranium

 

 Strong Clay and Sulfide Alteration Halo Associated With Previously Discovered Polymetallic Uranium Mineralization Extended

 Structurally-Complex Area Identified in Sandstone and Deep Into Basement

 Update on Corporate Activities in the Athabasca Basin and Thompson Nickel Belt

 Vancouver, Canada, March 31, 2022 – CanAlaska Uranium Ltd. (TSX-V: CVV; OTCQB: CVVUF; Frankfurt: DH7N) (“CanAlaska” or the “Company”) is pleased to announce the successful completion of the 2022 drilling program at its 100%-owned Waterbury South uranium project. The project is located approximately 10 km southeast of the producing Cigar Lake uranium mine in the Eastern Athabasca Basin (Figure 1).

 

Figure 1 – Property location map for the Waterbury South project.

The drill program was focused on extending and understanding the geological controls of the polymetallic unconformity uranium mineralization associated with nickel, arsenic, cobalt, and zinc, intersected during the previous 2021 winter drill program (see News Release dated June 17, 2021). Program objectives were successfully met with the completion of six drill holes totalling 2,787 metres (m). Results indicate a structurally-complex fault system that extends the footprint of previously intersected strong sandstone and deep basement alteration.

 

Figure 2 – Drillhole section along WAT009 and WAT010 showing the distribution of the strong alteration
and structure in the lower sandstone and basement along the fence.

Drillhole WAT010, drilled along the same fence as WAT009, targeted the unconformity projection of strong faulting intersected in the basement of WAT009. WAT010 intersected the unconformity target approximately 52 m north of WAT009 on section. The drillhole intersected a strongly altered and structured lower sandstone column with strong bleaching, pyrite, clay alteration, secondary hematite, desilicification, and clay-replaced sandstone (Figure 2). Strong bleaching and chlorite alteration extends over 60 m into the basement on WAT 010 and is associated with quartz-carbonate healed breccias that contain brittle reactivation . Based on the intensity of structure and alteration in the sandstone column, WAT010 is interpreted to have overshot the ideal target at the unconformity. The results on this fence from both 2021 and 2022 drilling indicate that strong hydrothermal alteration and fault structures are present above the unconformity and extend deep into the basement indicating the possible presence of a large mineralizing event nearby.

Drillhole WAT012  to the east of WAT010 confirmed the strike extension of strong alteration within WAT009 and WAT010. WAT012 intersected the unconformity approximately 55 m east of WAT009 (Figure 3). The lower sandstone column contains a five metre wide zone of strong hydrothermal alteration including bleaching, patches of strong black sulfide alteration, clay and chlorite, similar to WAT009 and WAT010. The strong bleaching and clay alteration extends into the upper four metres of the basement. Nearly 70 m below the unconformity, a series of 1 to 4 m wide strongly graphitic and re-activated fault zones characterized by broken core and quartz-carbonate healed breccias were intersected indicating further evidence of a major graphitic fault system in the basement. WAT012 is interpreted to have undershot the ideal target at the unconformity. WAT 014 was drilled to test the structural complexity in the area; it intersected bedding-controlled sulfide alteration throughout the lower sandstone column.

 

Figure 3 – Map of the Waterbury South project shows the complex structural relationship between
the drillholes completed to date and the currently defined sandstone alteration.

The drillholes completed during the program show evidence for multiple orientations of re-activated fault structures. These fault structures are parallel and cross-cutting to the basement stratigraphy in the area. In other uranium deposits such as Eagle Point, cross-cutting and splay faults play a very important role in controlling and localizing fluid movement along the main graphitic strucures. In the case of Eagle Point, these cross-cutting and splay structures can be strongly altered and mineralized for several hundred metres away from the mine area. The sandstone and deep basement faults with strong alteration are indicative of the presence of hydrothermal processes generally associated with a uranium mineralizing event. Given the structural complexity encountered in the 2022 program, the Company is investigating use of high resolution geophysical surveys to plan the next phase of drilling.

Geochemical assay results for the 2022 drilling program are pending.

CanAlaska VP Exploration, Nathan Bridge, comments, “The CanAlaska team set out to understand the controls on the previously discovered polymetallic unconformity uranium mineralization in WAT009. The strong alteration system in WAT009, that is host to high-grade nickel-sulfides and associated uranium mineralization, was extended to the east and remains open in several directions. The Waterbury South area is structurally-complex, with multiple fault orientations and deep basement alteration that suggests multiple periods of reactivation and hydrothermal fluid-movement, key to uranium deposit formation in the Athabasca Basin. The results obtained during this drill season are promising and several kilometers of strike length remain open along this structural corridor.”

 CanAlaska CEO, Cory Belyk, comments, “The 2022 program significantly increased our knowledge of the polymetallic uranium mineralization drilled in 2021. Continuation of strong sandstone and deep basement alteration along major structures is very encouraging and is an important aspect in nearly all uranium deposits in the Basin, specifically basement-hosted uranium deposits such as Eagle Point, where altered and mineralized cross-structures extend for several hundred metres away from the main deposit. The team did a great job of working out the geology and results from this program have generated nearby targets for the next round of drilling.”

 

Corporate Update

West McArthur Drill Preparation:

The Company has nearly completed its detailed Stepwise Moving Loop Time Domain Electromagnetic Survey (TDEM) on its West McArthur Joint Venture project. The geophysical survey is part of the approved $5 million 2022 exploration program. Preliminary survey results show multiple strong conductive responses along the Grid 5 trend that appear to be associated with newly interpreted potential folds and fault structures. The Company anticipates the program will be complete in early April and targets from the survey will be ready for drill testing during the upcoming summer exploration program.

Key Extension Ground Gravity Survey:

A ground gravity survey at the Company’s new Key Extension project is over 50% complete. Preliminary processing of the data has identified a series of gravity low features that are associated with conductors on the property. These initial results are encouraging as this association is common in many basement-hosted uranium deposits. The Company plans to release the results of the survey once the full data set has been received and final processing has been completed in preparation for the inaugural drilling program later in the year.

Manibridge Drill Program

Drilling at the Company’s Manibridge project is ongoing. The drilling program is being fully funded by Metal Energy Corp. as part of a staged earn-in option agreement. Metal Energy have earned a 49% interest in the property and have elected to proceed with the 70% earn-in option. CanAlaska is the current operator on the project and drilling is ongoing.

Hunter Geophysics

In the Thompson Nickel Belt, the Company is preparing for an airborne VTEM survey on it’s 100%-owned Hunter nickel project.

 

About CanAlaska Uranium

CanAlaska Uranium Ltd. (TSX-V: CVV; OTCQB: CVVUF; Frankfurt: DH7N) holds interests in approximately 300,000 hectares (750,000 acres), in Canada’s Athabasca Basin – the “Saudi Arabia of Uranium.”  CanAlaska’s strategic holdings have attracted major international mining companies. CanAlaska is currently working with Cameco and Denison at two of the Company’s properties in the Eastern Athabasca Basin. CanAlaska is a project generator positioned for discovery success in the world’s richest uranium district. The Company also holds properties prospective for nickel, copper, gold and diamonds.

The qualified technical person for this news release is Nathan Bridge, MSc., P.Geo., CanAlaska’s Vice President, Exploration.

For further information visit www.canalaska.com.

On behalf of the Board of Directors

“Peter Dasler”
Peter Dasler, M.Sc., P.Geo.
President
CanAlaska Uranium Ltd.

Contacts:

Peter Dasler, President
Tel: +1.604.688.3211 x 138
Email: info@canalaska.com

Cory Belyk, CEO and Executive Vice President
Tel: +1.604.688.3211 x 138
Email: cbelyk@canalaska.com

Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

Forward-looking information

All statements included in this press release that address activities, events or developments that the Company expects, believes or anticipates will or may occur in the future are forward-looking statements. These forward-looking statements involve numerous assumptions made by the Company based on its experience, perception of historical trends, current conditions, expected future developments and other factors it believes are appropriate in the circumstances. In addition, these statements involve substantial known and unknown risks and uncertainties that contribute to the possibility that the predictions, forecasts, projections and other forward-looking statements will prove inaccurate, certain of which are beyond the Company’s control. Readers should not place undue reliance on forward-looking statements. Except as required by law, the Company does not intend to revise or update these forward-looking statements after the date hereof or revise them to reflect the occurrence of future unanticipated events.

What is the PCE Price Index (In 500 Words or Less)?

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The Lesser-Known Inflation Indicator is Preferred By Fed Officials

 

Most people quote inflation based on the Bureau of Labor Statistics Consumer Price Index or CPI.  But the metric the Federal Reserve is said to find more valuable is the Personal Consumption Expenditures Price Index, or PCE Price Index.

What is it that makes this measure considered more relevant to gauge inflation, and economic impact?

First, the number is composed of a very broad range of expenditures far broader than CPI. The PCE Price Index is also weighted by data reported through business surveys. Businesses account for and document transactions far better than households. CPI is consumer or household-based.

While CPI is based on a basket of goods and services that is revised infrequently, The PCE Price Index uses a formula that allows for changes in consumer behavior and changes that occur in the short term. For example, if gas prices rise and consumers drive less or switch to a lower octane fuel, this information is more useful than just noting that gas prices are up. These adjustments in consumer behavior are not made in the CPI calculation. This makes the PSE Price Index a more comprehensive metric for measuring price changes that impact the economy.

 

Advantages / Disadvantages of PCE Price Data

Personal consumption expenditures provide a glimpse of how the economy is going. When people are spending without any hesitation, it usually means that the economy is doing well. But when they cut back, it points to problems in the overall economic picture. Monitoring whether consumers are increasing spending, decreasing, or finding replacements that are less expensive is meaningful to recognizing and forecasting trends. This helps the Fed assess economic needs that may be assisted through monetary policy.

Source: Bureau of Economic Analysis

 

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TV and Radio Personalities to Moderate Panels at NobleCon18

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Eric Bolling and Mike Gallager to Moderate Metaverse, Psychedelics and “The World Is Hot Right Now” Panels at NobleCon18

The 18th annual conference will be “live” again! To celebrate the return to IN PERSON, thanks to our sponsors, investor registration is FREE

 

We are pleased to announce that these two television and radio veterans will hit the stage to moderate three panels at NobleCon18. Eric Bolling’s 17-year television career includes 11 years at Fox News (The Five, Cashin’ In and more), CNBC’s Fast Money, Sinclair Media’s America This Week, and is currently host of Eric Bolling The Balance on Newsmax. Before television, he was on Wall Street where he was among Trader Monthly’s Top 100 in 2005 and 2006, and received their Man of the Year Award in 2007. All of this after an injury took him away from being a professional baseball player with the Pittsburg Pirates. Mike Gallagher is one of the most listened-to radio talk show hosts in America. Prior to being launched into national syndication in 1998, Mike hosted the morning show on WABC-AM in New York City. Today, Talkers Magazine reports that his show The Mike Gallagher Show on Salem Media is heard by 7 million weekly listeners. In addition to being a two-time best-selling author, Mike is also a Fox News contributor and guest host.

Bolling will moderate the “Metaverse – Is The Future Real” Panel (Wednesday, April 20, 8:00am) and the “Psychedelics: The Next Breakthrough in Mental Health Treatment?” Panel (Thursday, April 21, 8:00am). Gallagher will moderate “The world is HOT Right Now – A Look at Global Economics Since COVID-19 and The War in Ukraine” (Wednesday, April 20, 4:30pm).

ADMISSION IS FREE for institutional to self-directed novice investors, thanks to Noble, Channelchek, Sponsors and The Presenting Companies. Attendance is limited to 1,000.

NobleCon18 – Noble Capital Markets 18th Annual Small and Microcap Investor Conference – April 19-21, 2022 – Hard Rock, Hollywood, FL 100 Public Company Presentations | Scheduled Breakouts | Panel Presentations | High-Profile Keynotes | Educational Sessions | Receptions & Networking Events

REGISTER FREE AS AN INVESTOR  |  PRESENTING COMPANY INQUIRIES  |  NOBLECON INFO PAGE  |  NOBLECON18.COM  |  PRESENTING COMPANIES  |  SCHEDULED SPEAKERS

Avivagen Inc. (VIVXF)(VIV:CA) – Reports First Quarter 2022 Results

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Thursday, March 31, 2022

Avivagen Inc. (VIVXF)(VIV:CA)
Reports First Quarter 2022 Results

Avivagen Inc is a Canadian based company operating in the healthcare sector. It develops science-based, natural health products for animals. It develops and commercializes products for livestock feeds to replace antibiotics for growth promotion and to help prevent disease by supporting the animal’s own health defenses. Its product range includes OxC-beta, Vivamune health chews, Oximunol chewable tablets, and Carotenoid Oxidation products.

Joe Gomes, Senior Research Analyst, Noble Capital Markets, Inc.

Joshua Zoepfel, Research Associate, Noble Capital Markets, Inc.

Refer to the full report for the price target, fundamental analysis, and rating.

    1Q22 Results. Avivagen reported revenue of $271,157 (all figures in Canadian $) in the quarter, up from $261,987 last year, and compared to our $300,000 estimate. Net loss for the quarter was $1.6 million, or $0.03 per share versus a net loss of $1.3 million, or $0.03 per share, in the first quarter of 2021. We had forecasted a net loss of $1.4 million, or $0.03 per share. Increased operating expenses due to impairment expenses were the main driver in the increased loss.

    Market Still Challenging.  While sales in the Philippines continue apace, Mexico remains frozen. In fact, quarterly revenues were reduced by $89,658 due to returned product from Mexico. Average price per kg of OxC-Beta remained flat at $106.33. While Avivagen has made strides in receiving approvals in other nations, the Company needs to translate approvals into steady, and increasing, sales in more …

This Company Sponsored Research is provided by Noble Capital Markets, Inc., a FINRA and S.E.C. registered broker-dealer (B/D).

*Analyst certification and important disclosures included in the full report. NOTE: investment decisions should not be based upon the content of this research summary. Proper due diligence is required before making any investment decision. 

 

Motorsport Games (MSGM) – Likely To Be A Reset Year

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Thursday, March 31, 2022

Motorsport Games (MSGM)
Likely To Be A Reset Year

Motorsport Games, a Motorsport Network company, combines innovative and engaging video games with exciting esports competitions and content for racing fans and gamers around the globe. The Company is the officially licensed video game developer and publisher for iconic motorsport racing series, including NASCAR, INDYCAR, 24 Hours of Le Mans and the British Touring Car Championship (“BTCC”), across PC, PlayStation, Xbox, Nintendo Switch and mobile. Motorsport Games is an award-winning esports partner of choice for 24 Hours of Le Mans, Formula E, BTCC, the FIA World Rallycross Championship and the eNASCAR Heat Pro League, among others. The company’s IPO was in January 2021, and it is headquartered in Miami, FL. For more information about Motorsport Games, visit www.motorsportgames.com.

Michael Kupinski, Director of Research, Noble Capital Markets, Inc.

Patrick McCann, Research Associate, Noble Capital Markets, Inc.

Refer to the full report for the price target, fundamental analysis, and rating.

    Q4 misses, but better than feared. The company reported Q4 revenue of $8.2 million, 41.9% below our forecast of $14.2 million. Adj. EBITDA for the quarter was negative at a loss of $5.433 million compared with our forecast of $1.250 million.

    Slow off the block.  The disappointing Q4 was due largely to an underwhelming launch of the company’s new game, NASCAR 21: Ignition. The game’s 2021 sales trailed that of its predecessor, NASCAR Heat 5 in 2020. We believe that the company is focused on 2023 when the company is expected to have a stable of franchise product offerings …

This Company Sponsored Research is provided by Noble Capital Markets, Inc., a FINRA and S.E.C. registered broker-dealer (B/D).

*Analyst certification and important disclosures included in the full report. NOTE: investment decisions should not be based upon the content of this research summary. Proper due diligence is required before making any investment decision. 

 

QuoteMedia Inc. (QMCI) – Gaining Revenue Traction

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Thursday, March 31, 2022

QuoteMedia Inc. (QMCI)
Gaining Revenue Traction

QuoteMedia, based in Fountain Hills, Arizona, provides cloud-based financial data, market news feeds, and financial software solutions.  Its customers include financial service companies, online brokerages, clearing firms, banks, media portals, public corporations and individual investors.  The company provides a single source solution providing products such as streaming quotes, charting, historical data, technical analysis, news and research.  Information can customized and provided to multiple platforms including terminals and mobile devices.

Michael Kupinski, Director of Research, Noble Capital Markets, Inc.

Patrick McCann, Research Associate, Noble Capital Markets, Inc.

Refer to the full report for the price target, fundamental analysis, and rating.

    Mixed Q4 results. Total company revenues increased a solid 20% to $3.9 million, slightly lighter than the $4.0 million we were looking for. The variance was attributable to slower than expected growth at its Corporate Quotestream business, which increased revenues 20.8%, below our 39.5% growth rate. Adj. EBITDA was better than expected at $555,000, versus our $501,000 estimate, largely due to lower than expected SG&A costs.

    Promising revenue outlook.  The latest quarter results reflected a sequential decline in the rate of revenue growth, 19.9%, versus Q3 growth of 21.7% and Q2 revenue growth of 26.5%. However, management indicated that it has signed contracts with several large customers, providing compelling revenue visibility into 2023 …

This Company Sponsored Research is provided by Noble Capital Markets, Inc., a FINRA and S.E.C. registered broker-dealer (B/D).

*Analyst certification and important disclosures included in the full report. NOTE: investment decisions should not be based upon the content of this research summary. Proper due diligence is required before making any investment decision. 

 

Forecasting Stocks Disease Weather Sales All Made Easier With a Simple Algorithm

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A Tool for Predicting the Future – Helping Nonexperts Make Forecasts Using Data Collected Over Time

 

Adam Zewe | MIT News Office

 

Whether someone is trying to predict tomorrow’s weather, forecast future stock prices, identify missed opportunities for sales in retail, or estimate a patient’s risk of developing a disease, they will likely need to interpret time-series data, which are a collection of observations recorded over time.

Making predictions using time-series data typically requires several data-processing steps and the use of complex machine-learning algorithms, which have such a steep learning curve they aren’t readily accessible to nonexperts.

To make these powerful tools more user-friendly, MIT researchers developed a system that directly integrates prediction functionality on top of an existing time-series database. Their simplified interface, which they call tspDB (time series predict database), does all the complex modeling behind the scenes so a nonexpert can easily generate a prediction in only a few seconds.

The new system is more accurate and more efficient than state-of-the-art deep learning methods when performing two tasks: predicting future values and filling in missing data points.

One reason tspDB is so successful is that it incorporates a novel time-series-prediction algorithm, explains electrical engineering and computer science (EECS) graduate student Abdullah Alomar, an author of a recent research paper in which he and his co-authors describe the algorithm. This algorithm is especially effective at making predictions on multivariate time-series data, which are data that have more than one time-dependent variable. In a weather database, for instance, temperature, dew point, and cloud cover each depend on their past values.

The algorithm also estimates the volatility of a multivariate time series to provide the user with a confidence level for its predictions.

“Even as the time-series algorithm can effectively capture any time-series structure out there, data becomes more and more complex. It feels like we have found the right lens to look at the model complexity of time-series data,” says senior author Devavrat Shah, the Andrew and Erna Viterbi Professor in EECS and a member of the Institute for Data, Systems, and Society and of the Laboratory for Information and Decision Systems.

Joining Alomar and Shah on the paper is lead author Anish Agrawal, a former EECS graduate student who is currently a postdoc at the Simons Institute at the University of California at Berkeley. The research will be presented at the ACM SIGMETRICS conference.

 

Adapting a New Algorithm

Shah and his collaborators have been working on the problem of interpreting time-series data for years, adapting different algorithms and integrating them into tspDB as they built the interface.

About four years ago, they learned about a particularly powerful classical algorithm, called singular spectrum analysis (SSA), that imputes and forecasts single time series. Imputation is the process of replacing missing values or correcting past values. While this algorithm required manual parameter selection, the researchers suspected it could enable their interface to make effective predictions using time series data. In earlier work, they removed this need to manually intervene for algorithmic implementation. 

The algorithm for single time series transformed it into a matrix and utilized matrix estimation procedures. The key intellectual challenge was how to adapt it to utilize multiple time series.  After a few years of struggle, they realized the answer was something very simple: “Stack” the matrices for each individual time series, treat it as a one big matrix, and then apply the single time-series algorithm on it.

This utilizes information across multiple time series naturally — both across the time series and across time, which they describe in their new paper.

This recent publication also discusses interesting alternatives, where instead of transforming the multivariate time series into a big matrix, it is viewed as a three-dimensional tensor. A tensor is a multi-dimensional array, or grid, of numbers. This established a promising connection between the classical field of time series analysis and the growing field of tensor estimation, Alomar says.

“The variant of mSSA that we introduced actually captures all of that beautifully. So, not only does it provide the most likely estimation, but a time-varying confidence interval, as well,” Shah says.

 

The Simpler, the Better

They tested the adapted mSSA against other state-of-the-art algorithms, including deep-learning methods, on real-world time-series datasets with inputs drawn from the electricity grid, traffic patterns, and financial markets.

Their algorithm outperformed all the others on imputation and it outperformed all but one of the other algorithms when it came to forecasting future values. The researchers also demonstrated that their tweaked version of mSSA can be applied to any kind of time-series data.

“One reason I think this works so well is that the model captures a lot of time series dynamics, but at the end of the day, it is still a simple model. When you are working with something simple like this, instead of a neural network that can easily overfit the data, you can actually perform better,” Alomar says.

 

The impressive performance of mSSA is what makes tspDB so effective, Shah explains. Now, their goal is to make this algorithm accessible to everyone.

One a user installs tspDB on top of an existing database, they can run a prediction query with just a few keystrokes in about 0.9 milliseconds, as compared to 0.5 milliseconds for a standard search query. The confidence intervals are also designed to help nonexperts to make a more informed decision by incorporating the degree of uncertainty of the predictions into their decision making.

For instance, the system could enable a nonexpert to predict future stock prices with high accuracy in just a few minutes, even if the time-series dataset contains missing values.

Now that the researchers have shown why mSSA works so well, they are targeting new algorithms that can be incorporated into tspDB. One of these algorithms utilizes the same model to automatically enable change point detection, so if the user believes their time series will change its behavior at some point, the system will automatically detect that change and incorporate that into its predictions.

They also want to continue gathering feedback from current tspDB users to see how they can improve the system’s functionality and user-friendliness, Shah says.

“Our interest at the highest level is to make tspDB a success in the form of a broadly utilizable, open-source system. Time-series data are very important, and this is a beautiful concept of actually building prediction functionalities directly into the database. It has never been done before, and so we want to make sure the world uses it,” he says.

“This work is very interesting for a number of reasons. It provides a practical variant of mSSA which requires no hand tuning, they provide the first known analysis of mSSA, and the authors demonstrate the real-world value of their algorithm by being competitive with or out-performing several known algorithms for imputations and predictions in (multivariate) time series for several real-world data sets,” says Vishal Misra, a professor of computer science at Columbia University who was not involved with this research. “At the heart of it all is the beautiful modeling work where they cleverly exploit correlations across time (within a time series) and space (across time series) to create a low-rank spatiotemporal factor representation of a multivariate time series. Importantly this model connects the field of time series analysis to that of the rapidly evolving topic of tensor completion, and I expect a lot of follow-on research spurred by this paper.”

 

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Wendyverse Allows Wendys to Meta Market

Posted on by Admin


The Metaverse will Now Include Fast Food’s Favorite Redhead

 

This calendar week each year, I’m always skeptical of stories that seem to not jibe with reality. Around April Fools’ you see even the most stodgy firms trying to shock and have some fun. I still remember last year when Volkswagen created a stir by saying it was rebranding to VOLTswagen? So when Wendy’s, which loves to have fun on Twitter, announced it was creating Wendysverse, I needed to triple check if their metaverse announcement was a reality or a stunt.

 


In March of 2021 VW got in trouble with the SEC with a prank that significantly moved
their stock price

 

The reality is the fast-food restaurant is available in virtual reality. Wendy’s will exist on Meta’s Horizon Worlds (Facebook) platform incarnated as “Wendyverse.”  This is a marketing and gaming combination that will help their brand stay in front of consumers in the virtual world.

As of April 2, those with a Quest 2 headset will be able to enter the metaverse activation, which is divided into two areas: Towne Square Central, home to a virtual Wendy’s restaurant, and Partnership Plaza, where players can shoot Baconators on a branded basketball court called the Buck BiscuitDome (which is a limited-edition menu item that is currently available). The experiences were developed through a collaboration between Wendy’s and community creators.

 

Wendy’s didn’t invent marketing in VR. Metaverse locations like Wendyverse are being rolled out by others as brands work to stay fresh by being digitally minded to attract and retain younger customers. For some of these virtual worlds, the customers have to be at least 21 as Jose Cuervo announced plans to build a distillery in Decentraland. Also, Miller Lite opened a bar on Decentraland for the Super Bowl. Fast food restaurants in particular have been building out virtual spaces as they look to build on their base of consumers by marketing in a game-like setting and going where their customers are. Even McDonald’s and Chipotle have created virtual experiences – Arby’s recently filed trademarks to offer virtual food and beverages.

 


Source: @wendys (Twitter)

What’s noteworthy about Wendy’s entry is their use of Meta’s Horizon Worlds. The platform, which just hit 300,000 users, requires an Oculus headset, which can cost near $300. This may allow a more immersive Wendysville experience, but could also limit the number of potential visitors. Horizon Worlds platform has seen fewer brand partnerships to date than rival platforms like Roblox, Decentraland and The Sandbox – cost of entry is one of the reasons.

To visit Wendyverse, customers must first download the Horizon Worlds app. Inside the app, they have to search for Wendyverse and click on a picture to travel to the virtual world.

Paul Hoffman

Managing Editor, Channelchek

 

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The Metaverse is Under Construction, Here’s What is Known

Microsoft and Facebook are Now All In on the Metaverse

 

Sources

https://www.theverge.com/2022/2/17/22939297/meta-social-vr-platform-horizon-300000-users

https://omicronb11529variant.com/wendys-opens-metaverse-restaurant-in-metas-horizon-worlds-adage-com/

https://www.marketingdive.com/news/wendys-metaverse-meta-horizon-worlds/621325/

https://twitter.com/Wendys/status/1509185783776878598

https://www.restaurantbusinessonline.com/marketing/wendys-newest-location-will-be-metaverse

 

Stay up to date. Follow us:

 

Forecasting Stocks, Disease, Weather, Sales, All Made Easier With a Simple Algorithm

Posted on by Admin


A Tool for Predicting the Future – Helping Nonexperts Make Forecasts Using Data Collected Over Time

 

Adam Zewe | MIT News Office

 

Whether someone is trying to predict tomorrow’s weather, forecast future stock prices, identify missed opportunities for sales in retail, or estimate a patient’s risk of developing a disease, they will likely need to interpret time-series data, which are a collection of observations recorded over time.

Making predictions using time-series data typically requires several data-processing steps and the use of complex machine-learning algorithms, which have such a steep learning curve they aren’t readily accessible to nonexperts.

To make these powerful tools more user-friendly, MIT researchers developed a system that directly integrates prediction functionality on top of an existing time-series database. Their simplified interface, which they call tspDB (time series predict database), does all the complex modeling behind the scenes so a nonexpert can easily generate a prediction in only a few seconds.

The new system is more accurate and more efficient than state-of-the-art deep learning methods when performing two tasks: predicting future values and filling in missing data points.

One reason tspDB is so successful is that it incorporates a novel time-series-prediction algorithm, explains electrical engineering and computer science (EECS) graduate student Abdullah Alomar, an author of a recent research paper in which he and his co-authors describe the algorithm. This algorithm is especially effective at making predictions on multivariate time-series data, which are data that have more than one time-dependent variable. In a weather database, for instance, temperature, dew point, and cloud cover each depend on their past values.

The algorithm also estimates the volatility of a multivariate time series to provide the user with a confidence level for its predictions.

“Even as the time-series algorithm can effectively capture any time-series structure out there, data becomes more and more complex. It feels like we have found the right lens to look at the model complexity of time-series data,” says senior author Devavrat Shah, the Andrew and Erna Viterbi Professor in EECS and a member of the Institute for Data, Systems, and Society and of the Laboratory for Information and Decision Systems.

Joining Alomar and Shah on the paper is lead author Anish Agrawal, a former EECS graduate student who is currently a postdoc at the Simons Institute at the University of California at Berkeley. The research will be presented at the ACM SIGMETRICS conference.

 

Adapting a New Algorithm

Shah and his collaborators have been working on the problem of interpreting time-series data for years, adapting different algorithms and integrating them into tspDB as they built the interface.

About four years ago, they learned about a particularly powerful classical algorithm, called singular spectrum analysis (SSA), that imputes and forecasts single time series. Imputation is the process of replacing missing values or correcting past values. While this algorithm required manual parameter selection, the researchers suspected it could enable their interface to make effective predictions using time series data. In earlier work, they removed this need to manually intervene for algorithmic implementation. 

The algorithm for single time series transformed it into a matrix and utilized matrix estimation procedures. The key intellectual challenge was how to adapt it to utilize multiple time series.  After a few years of struggle, they realized the answer was something very simple: “Stack” the matrices for each individual time series, treat it as a one big matrix, and then apply the single time-series algorithm on it.

This utilizes information across multiple time series naturally — both across the time series and across time, which they describe in their new paper.

This recent publication also discusses interesting alternatives, where instead of transforming the multivariate time series into a big matrix, it is viewed as a three-dimensional tensor. A tensor is a multi-dimensional array, or grid, of numbers. This established a promising connection between the classical field of time series analysis and the growing field of tensor estimation, Alomar says.

“The variant of mSSA that we introduced actually captures all of that beautifully. So, not only does it provide the most likely estimation, but a time-varying confidence interval, as well,” Shah says.

 

The Simpler, the Better

They tested the adapted mSSA against other state-of-the-art algorithms, including deep-learning methods, on real-world time-series datasets with inputs drawn from the electricity grid, traffic patterns, and financial markets.

Their algorithm outperformed all the others on imputation and it outperformed all but one of the other algorithms when it came to forecasting future values. The researchers also demonstrated that their tweaked version of mSSA can be applied to any kind of time-series data.

“One reason I think this works so well is that the model captures a lot of time series dynamics, but at the end of the day, it is still a simple model. When you are working with something simple like this, instead of a neural network that can easily overfit the data, you can actually perform better,” Alomar says.

 

The impressive performance of mSSA is what makes tspDB so effective, Shah explains. Now, their goal is to make this algorithm accessible to everyone.

One a user installs tspDB on top of an existing database, they can run a prediction query with just a few keystrokes in about 0.9 milliseconds, as compared to 0.5 milliseconds for a standard search query. The confidence intervals are also designed to help nonexperts to make a more informed decision by incorporating the degree of uncertainty of the predictions into their decision making.

For instance, the system could enable a nonexpert to predict future stock prices with high accuracy in just a few minutes, even if the time-series dataset contains missing values.

Now that the researchers have shown why mSSA works so well, they are targeting new algorithms that can be incorporated into tspDB. One of these algorithms utilizes the same model to automatically enable change point detection, so if the user believes their time series will change its behavior at some point, the system will automatically detect that change and incorporate that into its predictions.

They also want to continue gathering feedback from current tspDB users to see how they can improve the system’s functionality and user-friendliness, Shah says.

“Our interest at the highest level is to make tspDB a success in the form of a broadly utilizable, open-source system. Time-series data are very important, and this is a beautiful concept of actually building prediction functionalities directly into the database. It has never been done before, and so we want to make sure the world uses it,” he says.

“This work is very interesting for a number of reasons. It provides a practical variant of mSSA which requires no hand tuning, they provide the first known analysis of mSSA, and the authors demonstrate the real-world value of their algorithm by being competitive with or out-performing several known algorithms for imputations and predictions in (multivariate) time series for several real-world data sets,” says Vishal Misra, a professor of computer science at Columbia University who was not involved with this research. “At the heart of it all is the beautiful modeling work where they cleverly exploit correlations across time (within a time series) and space (across time series) to create a low-rank spatiotemporal factor representation of a multivariate time series. Importantly this model connects the field of time series analysis to that of the rapidly evolving topic of tensor completion, and I expect a lot of follow-on research spurred by this paper.”

 

Suggested Reading



Are Economic Excesses Creating Investment Opportunity?

Retail Investors May Soon See More Safety Measures Including Coursework and Testing





How Your Data is Used to Generate Big Returns

What Makes a Country a Tax Haven?

 

Stay up to date. Follow us:

 

Gray Sets Date For First Quarter Earnings Release And Earnings Conference Call

Posted on by Admin



Gray Sets Date For First Quarter Earnings Release And Earnings Conference Call

Research, News, and Market Data on Gray Television

 

ATLANTA, March 31, 2022 (GLOBE NEWSWIRE) — Gray Television, Inc. (NYSE: GTN) today announced that it will release its earnings results for the quarter ending March 31, 2022 on Friday, May 6, 2022.

 Earnings Conference Call Information
Gray Television, Inc. will host a conference call to discuss its operating results for the quarter ended March 31, 2022, on Friday, May 6, 2022. The call will begin at 11:00 a.m. Eastern Time. The live dial-in number is 1-855-493-3489 and the confirmation code is 8298523. The call will be webcast live and available for replay at www.gray.tv. The taped replay of the conference call will be available at 1-855-859-2056 Confirmation Code: 8298523 until June 6, 2022.

About Gray Television
Gray Television, Inc. is a multimedia company headquartered in Atlanta, Georgia. We are the nation’s largest owner of top-rated local television stations and digital assets in the United States that serve 113 television markets reaching approximately 36 percent of US television households. This portfolio includes 80 markets with the top-rated television station and 100 markets with the first and/or second highest rated television station. We also own video program companies Raycom Sports, Tupelo Honey, and PowerNation Studios, as well as Third Rail Studios.










Contact Data




Gray Contacts:
Website: www.gray.tv
Jim Ryan, Executive Vice President and Chief Financial Officer, 404-504-9828
Kevin P. Latek, Executive Vice President, Chief Legal and Development Officer, 404-266-8333



	


	





	

		
PDS Biotech Provides Business Update and Reports Fourth-Quarter and Full-Year 2021 Financial Results
			

				Posted on  by Admin			

			


	
			

			
	

		

  

  





PDS Biotech Provides Business Update and Reports Fourth-Quarter and Full-Year 2021 Financial Results




Research, News, and Market Data on PDS Biotech


 


Company to host conference call and webcast today, March 31, 2022, at 8:00 AM EDT


FLORHAM PARK, N.J., March 31, 2022 (GLOBE NEWSWIRE) — PDS Biotechnology Corporation (Nasdaq: PDSB), a clinical-stage immunotherapy company developing a growing pipeline of molecularly targeted cancer immunotherapies and infectious disease vaccines based on the Company’s proprietary Versamune® and Infectimune™ T-cell activating technologies, today provided a business update and announced its financial results for the year ended December 31, 2021.


“I’m very pleased to report that we have undergone a 12-month period of incredible productivity here at PDS Biotech,” commented Dr. Frank Bedu-Addo, President and Chief Executive Officer of the Company. “We’ve made significant clinical progress on our lead oncology candidate, PDS0101, and presented at leading oncology conferences on the promising efficacy and safety results of PDS0101 from two of our ongoing Phase 2 clinical trials. Another phase 2 clinical study of PDS0101 to be led by Mayo Clinic was initiated this month, to evaluate PDS0101 as a potential first-line neo-adjuvant treatment for patients with oropharyngeal cancer prior to transoral robotic surgery. We also recently announced encouraging pre-clinical data from our NIAID-funded universal flu vaccine program. We continue to leverage our unique T-cell activating platforms to advance additional pre-clinical oncology and infectious disease candidates.”


Dr. Bedu-Addo continued: “Over the past year, we completed two licensing transactions and secured additional intellectual property for our expanding pipeline. We also received approval of a US composition of matter and use patent for PDS0101. We strengthened our scientific advisory and leadership teams by adding distinguished immuno-oncology experts to our scientific advisory board and welcomed Matthew Hill as our Chief Financial Officer. We also added more than $52 million to our balance sheet in 2021, significantly extending our cash runway and ability to continue to advance our clinical and pre-clinical programs. We look forward to an equally productive 2022, during which we expect to announce additional data from our ongoing Phase 2 oncology trials for PDS0101, as well as plan to progress at least one of our preclinical programs, PDS0103 into the clinic.”


Fourth Quarter 2021 and Recent Business Highlights:


    

  • Achieved several milestones in the VERSATILE-002 Phase 2 combination trial of PDS0101-KEYTRUDA® (pembrolizumab) for recurrent and/or metastatic human papillomavirus (HPV)16-associated head and neck cancer. These milestones include:

      

    • Presented preliminary safety data on a total of 18 checkpoint inhibitor naïve patients at the 2022 Multidisciplinary Head and Neck Cancers Symposium. Highlights from the presentation include the absence of dose-limiting toxicities, drug discontinuation related to toxicity, or any significant immune-related adverse events. Subjects received a median of 4 doses of PDS0101 (range 1-5) and a median of 6 doses of KEYTRUDA® (range 1-13).
      • 

    • Achieved preliminary objective response benchmarks that enabled us to advance towards full enrollment of 54 patients in the checkpoint inhibitor naïve patient cohort.
      • 

    • Initiated enrollment in the checkpoint inhibitor-refractory cohort.
      • 

    

    • 

  • Announced initiation of an investigator-initiated trial with Mayo Clinic for patients with HPV-associated oropharyngeal cancer at high risk of recurrence. The trial will evaluate PDS0101 as monotherapy and in combination with KEYTRUDA®.
    • 

  • Announced encouraging preclinical data for the universal flu vaccine that demonstrated a potent neutralization response against multiple strains of the influenza virus and provided protection against infection after challenge with a live H1N1 pandemic strain of influenza in preclinical animal subjects.
    • 

  • Granted U.S. Patent Application by the United States Patent and Trademark Office for composition of matter and use of PDS0101, extending its U.S. patent protection into 2037.
    • 

  • Achieved enrollment objective of 30 patients in the checkpoint inhibitor refractory arm of the NCI-led triple combination trial in March 2022.
    • 

  • Achieved median overall survival at December 31, 2021 of 12 months for 30 HPV16-positive patients who had received at least one evaluation in the NCI-led triple combination trial. Approximately 73% of the patients had failed 3 prior treatment regimens including checkpoint inhibitor therapy.

    • 



Full-Year 2021 Financial Results


For the year ended December 31, 2021, the net loss was approximately $16.9 million, or $0.66 per basic share and diluted share, compared to a net loss of approximately $14.8 million, or $0.89 per basic share and diluted share for the year ended December 31, 2020.


For the year ended December 31, 2021, research and development expenses increased to approximately $11.3 million compared to approximately $7.9 million for the year ended December 31, 2020. The increase of $3.4 million was primarily attributable to an increase in regulatory and clinical costs of $2.6 million, non-cash stock-based compensation of $1.1 million and personnel costs of $0.4 million, partially offset by an overall decrease in manufacturing and facility costs of $0.7 million.


For the year ended December 31, 2021, general and administrative expenses increased to approximately $10.2 million compared to approximately $7.0 million for the year ended December 31, 2020. The $3.2 million increase was primarily attributable to an increase in personnel costs of $1.0 million, non-cash stock-based compensation of $2.5 million, and facilities costs of $0.1 million, partially offset by a decrease in professional fees of $0.4 million.


Total operating expenses for the year ended December 31, 2021 were approximately $21.4 million, an increase of approximately 44% compared to total operating expenses of approximately $14.9 million for the year ended December 31, 2020.


The Company’s cash balance as of December 31, 2021 was $65.2 million. Based on the Company’s available cash resources and cash flow projections, the Company believes this balance is sufficient to fund Company operations and research and development programs through the end of 2023.


Conference Call and Webcast
The conference call is scheduled to begin at 8:00 AM EDT on Thursday, March 31, 2022. Participants should dial 877-407-3088 (United States) or 201-389-0927 (International) and mention PDS Biotechnology. A live webcast of the conference call will also be available on the investor relations page of the Company’s corporate website at https://pdsbiotech.com/investors/news-center/events. After the live webcast, the event will be archived on PDS Biotech’s website for six months. 


About PDS Biotechnology
PDS Biotech is a clinical-stage immunotherapy company developing a growing pipeline of molecularly targeted cancer and infectious disease immunotherapies based on the Company’s proprietary Versamune® and Infectimune™ T-cell activating technology platforms. Our Versamune®-based products have demonstrated the potential to overcome the limitations of current immunotherapy by inducing in vivo, large quantities of high-quality, highly potent polyfunctional tumor specific CD4+ helper and CD8+ killer T-cells. PDS Biotech has developed multiple therapies, based on combinations of Versamune® and disease-specific antigens, designed to train the immune system to better recognize diseased cells and effectively attack and destroy them.  The Company’s pipeline products address various cancers including HPV16-associated cancers (anal, cervical, head and neck, penile, vaginal, vulvar) and breast, colon, lung, prostate and ovarian cancers.  


Our Infectimune™ -based vaccines have demonstrated the potential to induce not only robust and durable neutralizing antibody responses, but also powerful T-cell responses including long-lasting memory T-cell responses. To learn more, please visit www.pdsbiotech.com or follow us on Twitter at @PDSBiotech.


Forward Looking Statements
This communication contains forward-looking statements (including within the meaning of Section 21E of the United States Securities Exchange Act of 1934, as amended, and Section 27A of the United States Securities Act of 1933, as amended) concerning PDS Biotechnology Corporation (the “Company”) and other matters. These statements may discuss goals, intentions and expectations as to future plans, trends, events, results of operations or financial condition, or otherwise, based on current beliefs of the Company’s management, as well as assumptions made by, and information currently available to, management. Forward-looking statements generally include statements that are predictive in nature and depend upon or refer to future events or conditions, and include words such as “may,” “will,” “should,” “would,” “expect,” “anticipate,” “plan,” “likely,” “believe,” “estimate,” “project,” “intend,” “forecast,” “guidance”, “outlook” and other similar expressions among others. Forward-looking statements are based on current beliefs and assumptions that are subject to risks and uncertainties and are not guarantees of future performance. Actual results could differ materially from those contained in any forward-looking statement as a result of various factors, including, without limitation: the Company’s ability to protect its intellectual property rights; the Company’s anticipated capital requirements, including the Company’s anticipated cash runway and the Company’s current expectations regarding its plans for future equity financings; the Company’s dependence on additional financing to fund its operations and complete the development and commercialization of its product candidates, and the risks that raising such additional capital may restrict the Company’s operations or require the Company to relinquish rights to the Company’s technologies or product candidates; the Company’s limited operating history in the Company’s current line of business, which makes it difficult to evaluate the Company’s prospects, the Company’s business plan or the likelihood of the Company’s successful implementation of such business plan; the timing for the Company or its partners to initiate the planned clinical trials for PDS0101, PDS0203 and other Versamune and Infectimune-based product candidates; the future success of such trials; the successful implementation of the Company’s research and development programs and collaborations, including any collaboration studies concerning PDS0101, PDS0203 and other Versamune and Infectimune-based product candidates and the Company’s interpretation of the results and findings of such programs and collaborations and whether such results are sufficient to support the future success of the Company’s product candidates; the success, timing and cost of the Company’s ongoing clinical trials and anticipated clinical trials for the Company’s current product candidates, including statements regarding the timing of initiation, pace of enrollment and completion of the trials (including the Company’s ability to fully fund its disclosed clinical trials, which assumes no material changes to our currently projected expenses), futility analyses, presentations at conferences and data reported in an abstract, and receipt of interim results (including, without limitation, any preclinical results or data), which are not necessarily indicative of the final results of the Company’s ongoing clinical trials; any Company statements about its understanding of product candidates mechanisms of action and interpretation of preclinical and early clinical results from its clinical development programs and any collaboration studies; and other factors, including legislative, regulatory, political and economic developments not within the Company’s control, including unforeseen circumstances or other disruptions to normal business operations arising from or related to COVID-19. The foregoing review of important factors that could cause actual events to differ from expectations should not be construed as exhaustive and should be read in conjunction with statements that are included herein and elsewhere, including the risk factors included in the Company’s annual and periodic reports filed with the SEC. The forward-looking statements are made only as of the date of this press release and, except as required by applicable law, the Company undertakes no obligation to revise or update any forward-looking statement, or to make any other forward-looking statements, whether as a result of new information, future events or otherwise.


Versamune® is a registered trademark and Infectimune is a trademark of PDS Biotechnology. KEYTRUDA® is a registered trademark of Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA.


Investor Contact:
Rich Cockrell
CG Capital
Phone: +1 (404) 736-3838
Email: rich@cg.capital





PDS BIOTECHNOLOGY CORPORATION AND SUBSIDIARY
Consolidated Balance Sheets







 
December 31,
2021		
 
December 31,
2020		




ASSETS
 
 
 




Current assets:
 
 
 




Cash and cash equivalents
$
65,242,622
 
 
$
28,839,565
 




Prepaid expenses and other
 
1,597,569
 
 
 
1,497,665
 




Total current assets
 
66,840,191
 
 
 
30,337,230
 




 
 
 
 
 
 




Property and equipment, net
 
86
 
 
 
5,443
 




Operating lease right-to-use asset
 
357,611
 
 
 
547,706
 




 
 
 
 
 
 




Total assets
$
67,197,888
 
 
$
30,890,379
 




 
 
 
 
 
 




LIABILITIES AND STOCKHOLDERS’ EQUITY
 
 
 
 
 




Current liabilities:
 
 
 
 
 




Accounts payable
$
1,309,403
 
 
$
1,415,224
 




Accrued expenses
 
2,187,704
 
 
 
1,735,322
 




Operating lease obligation – short term
 
258,924
 
 
 
119,904
 




Total current liabilities
 
3,756,031
 
 
 
3,270,450
 




 
 
 
 
 
 




Noncurrent liability:
 
 
 
 
 




Operating lease obligation – long term
 
231,430
 
 
 
490,353
 




Total liabilities
 
3,987,461
 
 
 
3,760,803
 




 
 
 
 
 
 




STOCKHOLDERS’ EQUITY
 
 
 
 
 




Common stock, $0.00033 par value, 75,000,000 shares authorized at December 31, 2021 and
December 31, 2020, 28,448,612 shares and 22,261,619 shares issued and outstanding at
December 31, 2021 and December 31, 2020, respectively		
 
9,387
 
 
 
7,346
 




Additional paid-in capital
 
123,904,602
 
 
 
70,907,315
 




Accumulated deficit
 
(60,703,562
)
 
 
(43,785,085
)




Total stockholders’ equity
 
63,210,427
 
 
 
27,129,576
 




 
 
 
 
 
 




Total liabilities and stockholders’ equity
$
67,197,888
 
 
$
30,890,379
 









PDS BIOTECHNOLOGY CORPORATION AND SUBSIDIARY
Consolidated Statements of Operations and Comprehensive Loss







 
Year Ended December 31,




 
2021
 
 
2020
 




Operating expenses:
 
 
 




Research and development expenses
$
11,254,538
 
 
$
7,924,450
 




General and administrative expenses
 
10,184,773
 
 
 
6,977,936
 




Total operating expenses
 
21,439,311
 
 
 
14,902,386
 




 
 
 
 
 
 




Loss from operations
 
(21,439,311
)
 
 
(14,902,386
)




 
 
 
 
 
 




Other income
 
 
 
 
 




Interest income
 
4,346
 
 
 
55,006
 




 
 
 
 
 
 




Loss before income taxes
 
(21,434,965
)
 
 
(14,847,380
)




Benefit from income taxes
 
4,516,488
 
 
 
–
 




Net loss and comprehensive loss
$
(16,918,477
)
 
$
(14,847,380
)




 
 
 
 
 
 




Per share information:
 
 
 
 
 




Net loss per share, basic and diluted
$
(0.66
)
 
$
(0.89
)




 
 
 
 
 
 




Weighted average common shares outstanding basic and diluted
 
25,597,125
 
 
 
16,745,044
 









PDS BIOTECHNOLOGY CORPORATION AND SUBSIDIARY
Consolidated Statements of Cash Flows









 
Year Ended December 31,




 
2021
 
 
2020
 




Cash flows from operating activities:
 
 
 




Net loss
$
(16,918,477
)
 
$
(14,847,380
)




Adjustments to reconcile net loss to net cash used in operating activities:
 
   
 
 
 




Stock-based compensation expense
 
4,074,458
 
 
 
432,321
 




Stock-based 401K company common match
 
35,747
 
 
 
19,967
 




Depreciation expense
 
5,357
 
 
 
15,608
 




Operating lease expense
 
241,031
 
 
 
160,684
 




Changes in operating assets and liabilities:
 
   
 
 
   




Prepaid expenses and other assets
 
(99,904
)
 
 
810,797
 




Accounts payable
 
(105,821
)
 
 
217,504
 




Accrued expenses
 
452,382
 
 
 
637,682
 




Restructuring reserve
 
–
 
 
 
(498,185
)




Operating lease liabilities
 
(170,839
)
 
 
(98,133
)




Net cash used in operating activities
 
(12,486,066
)
 
 
(13,149,135
)




 
 
 
 
 
 




 
 
 
 
 
 




Cash flows from financing activities:
 
 
 
 
 




Proceeds from exercise of warrants
 
–
 
 
 
70,459
 




Proceeds from exercise of stock options
 
344,125
 
 
 
–
 




Proceeds from issuances of common stock, net of issuance costs
 
48,544,998
 
 
 
29,756,502
 




Net cash provided by financing activities
 
48,889,123
 
 
 
29,826,961
 




 
 
   
 
 
   




Net increase in cash and cash equivalents
 
36,403,057
 
 
 
16,677,826
 




Cash and cash equivalents at beginning of period
 
28,839,565
 
 
 
12,161,739
 




 
 
   
 
 
   




Cash and cash equivalents at end of period
$
65,242,622
 
 
$
28,839,565
 




 
 
 
 
 
   





	


	





	

		
Kratos Demonstrates All-Digital Multi-Mission Edge Capability at the 37th Space Symposium
			

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Kratos Demonstrates All-Digital Multi-Mission Edge Capability at the 37th Space Symposium




 Research, News, and Market Data on Kratos Defense & Security Solutions


 


Will Preview the Industry’s First Implementation of DIFI Compliant Digital Terminal Capability Running on COTS Hardware





  SAN DIEGO, 

  March 31, 2022 (GLOBE NEWSWIRE) — 

  Kratos Defense & Security Solutions, Inc. (Nasdaq: KTOS), a leading National Security Solutions provider, announced today that along with technology partner 

  Kymeta, it will provide live demonstrations of an all-digital multi-mission capability at the 37th Annual Space Symposium in 

  Colorado Springs, Colorado, 

  April 4-7.


The demonstrations will include Kratos’ OpenSpace™ Satcom and RF Carrier Analysis virtual network functions running on a generic (x86) compute device that is digitally paired with a 

  Kymeta electronically steered antenna (ESA) mounted inside a tactical H2 vehicle. This virtual architecture enables a universally deployable solution within a broad range of resilient ground station and cloud environments.


This demonstration highlights the first ever implementation of the industry interoperability standard developed by the 

  Digital Intermediate Frequency Interoperability (DIFI) Consortium inside a terminal application. DIFI members include the 

  U.S. DoD CIO, 

  U.S. Army, 

  U.S. Navy, 

  U.S. Space Force, DISA, as well as key commercial companies, and the standard has already been specified in at least one 

  U.S. defense-related RFP. The industry’s growing adoption of the DIFI standard supports the DoD’s digital transformation goals, as well as freeing operators from the vendor lock-in characterized by proprietary systems.


“This demonstration will show that critical satellite network operations can be made increasingly virtual, interoperable and software-defined all the way to the network’s edge,” said 
  Kevin Tobias, Director of Edge Products at Kratos. “It is another step forward in proving that the ground layer can enable multi-orbit networks and multi-mission operations, for example Satcom, space domain awareness (SDA) and ISR together as dynamic, virtualized applications, and all supporting the DoD’s digital transformation goals and JADC2 principles regarding open-standards and interoperability.”


Attendees at the 37th Annual Space Symposium can view these industry-first capabilities at the Kratos H2 located on site for demonstrations during exhibit hall hours, 

  April 4-7, 2022. Visit Kratos booth 1140 in Bartolin Hall to schedule a demo.


About Kratos OpenSpace
Kratos’ OpenSpace family of solutions enables the digital transformation of satellite ground systems to become a more dynamic and powerful part of the space network. The family consists of three product lines: OpenSpace SpectralNet for converting satellite RF signals to be used in digital environments; OpenSpace quantum products, which are virtual versions of traditional hardware components; and the OpenSpace Platform, the first commercially available, fully orchestrated, software-defined ground system. These three OpenSpace lines enable satellite operators and other service providers to implement digital operations at their own pace and in ways that meet their unique mission goals and business models. For more information about the OpenSpace family visit http://KratosDefense.com/OpenSpace.


About Kratos Defense & Security Solutions


  Kratos Defense & Security Solutions, Inc. (NASDAQ:KTOS) develops and fields transformative, affordable technology, platforms and systems for United States National Security related customers, allies and commercial enterprises. Kratos is changing the way breakthrough technology for these industries are rapidly brought to market through proven commercial and venture capital backed approaches, including proactive research and streamlined development processes. At Kratos, affordability is a technology and we specialize in unmanned systems, satellite communications, cyber security/warfare, microwave electronics, missile defense, hypersonic systems, training, combat systems and next generation turbo jet and turbo fan engine development. For more information go to www.KratosDefense.com.


Notice Regarding Forward-Looking Statements
Certain statements in this press release may constitute “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are made on the basis of the current beliefs, expectations and assumptions of the management of Kratos and are subject to significant risks and uncertainty. Investors are cautioned not to place undue reliance on any such forward-looking statements. All such forward-looking statements speak only as of the date they are made, and Kratos undertakes no obligation to update or revise these statements, whether as a result of new information, future events or otherwise. Although Kratos believes that the expectations reflected in these forward-looking statements are reasonable, these statements involve many risks and uncertainties that may cause actual results to differ materially from what may be expressed or implied in these forward-looking statements. For a further discussion of risks and uncertainties that could cause actual results to differ from those expressed in these forward-looking statements, as well as risks relating to the business of Kratos in general, see the risk disclosures in the Annual Report on Form 10-K of Kratos for the year ended 

  December 26, 2021, and in subsequent reports on Forms 10-Q and 8-K and other filings made with the 

  SEC by Kratos.


Press Contact:

  Yolanda White
858-812-7302 Direct


Investor Information:
877-934-4687
investor@kratosdefense.com