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New System Enables Data Centers to Operate Without Utility Power, No External Water Use, Low Noise, Low Energy Use and Ninety Percent Carbon Capture

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Energy Concepts Introduces new modular Infrastructure platform for AI Data Centers to generate electric power, cooling, and produce water, and Captured Carbon on-site

ROCHESTER, N.Y., Aug. 7, 2026 /PRNewswire/ — As artificial intelligence drives unprecedented demand for data center infrastructure, a new integrated energy platform offers a solution to the industry’s most pressing challenges: power availability, water consumption, cooling requirements, and carbon emissions.

The 5 MW Integrated Energy Platform can produce 5,000 Kilowatts of electricity, 12,000 gallons of water and 11,000 gallons of Food-Grade Liquid CO₂ per day while capturing over 90% of Carbon Emissions. No power from the utility or municipal water use is required. The modular system named “Plato5X” (Patent Pending) combines natural gas cogeneration, absorption cooling, water recovery, and carbon capture technologies into a unique on-site infrastructure platform designed specifically for high-density AI and cloud computing facilities.

Each 5 MW module provides reliable electrical power while producing approximately 12,000 gallons of water per day and capturing 90% of combustion-generated carbon dioxide. Captured CO₂ is converted into food-grade liquid carbon dioxide suitable for commercial and industrial applications.

Unlike conventional data centers that place increasing demands on local electrical and water infrastructure, the platform is designed to operate independently of grid constraints while minimizing external water requirements.

“AI growth is creating unprecedented infrastructure challenges,” said William Cristofaro president of Energy Concepts. “We believe the next generation of data centers must become more self-sufficient. This platform enables facilities to generate their own power, produce water, capture carbon, and reduce dependence on overstressed public infrastructure.”

The system can be configured for applications ranging from smaller edge facilities to hyperscale campuses. For example, a 100 MW facility could produce up to 240,000 gallons of water per day—equivalent to the daily use of about 300 U.S. households—and 220,000 gallons of food-grade liquid CO₂ per day. The system can be financed, built, and operated independently of the data center white space thereby reducing upfront investment costs and risks.

Plato5X is not just for data centers but can be applied to any facility needing substantial quantities of electric power, cooling and heating, says Cristofaro.

For additional information or partnership discussions, contact:
William Cristofaro PE, President
Integrated Energy Concepts Engineering, P.C.
3445 Winton Place, Suite 240 Rochester, NY 14623
Cell: 585 455 7330 Email: bcristofaro@nrg-concepts.com

Web: www.nrg-concepts.com 

“Some people think it’s magic, we call it engineering.” – Energy Concepts

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Lemonade to Present at the Oppenheimer 29th Annual Technology, Internet & Communications Conference

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NEW YORK, Aug. 7, 2026 /PRNewswire/ — Lemonade (NYSE: LMND) today announced that Tim Bixby, Chief Financial Officer, is scheduled to present at the Oppenheimer 29th Annual Technology, Internet & Communications Conference on Wednesday, August 12, 2026 at 1:15 pm ET. The conference is being held virtually. Mr. Bixby will also hold one-on-one meetings with investors at the event.

The presentation will be live via webcast and can be accessed here. Additional information about Lemonade can be accessed at lemonade.com/investor.

About Lemonade
Lemonade offers renters, homeowners, car, pet, and life insurance. Powered by artificial intelligence and social impact, Lemonade’s full stack insurance carriers in the US and the EU replace brokers and bureaucracy with bots and machine learning, aiming for zero paperwork and instant everything. A Certified B-Corp, Lemonade gives unused premiums to nonprofits selected by its community, during its annual Giveback. Lemonade is currently available in the United States, Germany, the Netherlands, France, and the UK, and continues to expand globally.

Follow Lemonade on X and Instagram for updates.

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SOURCE Lemonade, Inc.

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University of Phoenix research chair presents pilot findings on AI-assisted empathy at 2026 American Psychological Association convention

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Dr. Rodney Luster shares early findings and ethical considerations for using generative AI as an adjunct to psychotherapy and counselor training.

PHOENIX, Aug. 7, 2026 /PRNewswire/ — Rodney Luster, PhD, University research chair and chair of the Center for Leadership and Entrepreneurial Research (CLER) in the University of Phoenix College of Doctoral Studies, presented pilot research examining the potential use of generative artificial intelligence to support structured empathy practice at the 2026 American Psychological Association annual convention.

Luster’s virtual poster, “In-Session AI Reflection and Empathy: Pilot Findings and Practice Implications,” will be presented August 8 as part of the Society for the Advancement of Psychotherapy, Division 29 virtual poster session. The study explored whether professionally facilitated engagement with researcher-constructed AI personas could provide a repeatable environment for practicing perspective-taking, emotional labeling, validation and repair-oriented communication.

Key points from the pilot study include:

Ten adults completed two facilitated AI-persona encounters and pre- and post-experience empathy assessments.Mean empathy assessment scores increased from 23.10 to 25.80, with nine of 10 participants recording higher post-experience scores.The research emphasizes that generative AI should be considered an adjunctive process tool, not a standalone intervention or substitute for instructors, supervisors, clinicians or human relationships.The exploratory findings demonstrate feasibility and a promising association, not evidence that AI independently caused lasting changes in empathy.

“Empathy is central to effective counseling, yet it can be difficult to practice and assess consistently,” Luster said. “This small pilot explored whether professionally facilitated AI personas could offer a repeatable, transcript-rich environment for structured rehearsal and reflection. The goal is not to replace instructors, supervisors or human relationships, but to examine how AI might responsibly support the work they already do.”

Pilot study explores structured empathy practice

Generative AI is increasingly used by individuals to reflect on interpersonal conflict and emotional distress, but clinicians and counselor educators have limited research-based guidance on whether AI-facilitated reflection can support processes associated with therapeutic change.

The pilot study examined structured interactions with AI personas created by the researchers to present participants with complex relational experiences. Participants were guided to consider multiple viewpoints, identify and label emotions, respond with curiosity and validation, and develop language oriented toward relational repair.

Participants completed an eight-item empathy self-assessment before and after the experience. Researchers also reviewed the interaction transcripts for indicators such as perspective taking, empathic concern, emotional labeling, continuity tracking, curiosity and meaning-making.

The transcripts allowed researchers to examine not only participants’ final responses, but also how their communication developed throughout each interaction. According to the pilot findings, progression appeared to depend on accumulated relational safety rather than a single “correct” response.

Early findings suggest potential for guided reflection

Mean empathy scores increased by 2.70 points, from 23.10 before the facilitated experiences to 25.80 afterward. The study reported a within-person effect size of dz = 0.89, and nine of the 10 participants increased their assessment scores.

Nine participants also reached the third level of the researchers’ relational progression framework, which represented disclosure of an underlying emotional wound. Qualitative findings included:

Greater emotional clarityIncreased openness to alternative perspectivesReduced certainty in hostile interpretations of another person’s actionsGreater readiness to use repair-oriented languageIncreased recognition of emotional meaning across an interaction

The results are preliminary. The small pilot did not include a control group, and the findings should not be interpreted as proof that AI caused durable changes in empathy. Participant expectations, the facilitation process and other factors may have contributed to the observed changes.

Ethical use depends on clinician oversight

Luster’s presentation placed significant emphasis on the ethical and professional guardrails required when integrating generative AI into psychotherapy or counselor preparation.

The proposed implementation framework maintains that clinicians, instructors and supervisors must retain responsibility for interpreting AI-generated material and determining how, or whether, it should be incorporated into an individual’s treatment or learning experience.

Considerations outlined in the presentation include:

Providing clear informed-consent languageProtecting client privacy and confidentialityEstablishing appropriate therapeutic and instructional boundariesDocumenting the use of AI-assisted exercisesPreserving client autonomyReviewing AI-generated output rather than accepting it uncriticallyRecognizing circumstances in which AI-assisted activities may be inappropriate

The presentation identified potential contraindications involving high-acuity situations, paranoia or impaired reality testing, heightened suggestibility and increased privacy vulnerability. These guardrails reinforce the study’s central position that generative AI should strengthen rather than replace human relationships and professional judgment.

Implications for research and practice

The pilot suggests that professionally facilitated AI personas may offer a structured setting for rehearsing difficult conversations, receiving immediate relational feedback and reviewing detailed transcripts with an instructor, supervisor or clinician.

Potential applications identified in the presentation include guided reflection involving relationship rupture, workplace conflict, values-based decision-making and supervised counselor empathy practice. The approach may allow participants to practice communication responses repeatedly before applying them in interpersonal or professional settings.

Further research is needed to determine whether the findings can be replicated and whether observed changes continue over time. Recommended next steps include studies with larger and more demographically diverse samples, controlled comparisons, independent validation of the researchers’ relational progression framework and assessment of outcomes across different participant and clinical populations.

View the presentation abstract and poster on the APA 2026 program website.

About Rodney Luster

Rodney Luster, PhD, LPC, is a University research chair and chair of the Center for Leadership and Entrepreneurial Research in the University of Phoenix College of Doctoral Studies. CLER supports applied, multidisciplinary research related to leadership, organizational strategy, industrial-organizational research and transformative learning. Luster’s scholarship examines relational dynamics, difficult conversations and practical approaches that may help individuals and organizational leaders navigate complex interpersonal experiences. He also publishes regularly on the Psychology Today blog.

About the College of Doctoral Studies

University of Phoenix’s College of Doctoral Studies focuses on today’s challenging business and organizational needs, from addressing critical social issues to developing solutions to accelerate community building and industry growth. The College’s research program is built around the Scholar, Practitioner, Leader Model which puts students in the center of the Doctoral Education Ecosystem® with experts, resources and tools to help prepare them to be a leader in their organization, industry and community. Through this program, students and researchers work with organizations to conduct research that can be applied in the workplace in real time.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu.

 

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Happiest Baby Announces Voluntary Recall for Extra-Small and Extra-Large SNOO Sack Accessories

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LOS ANGELES, Aug. 7, 2026 /PRNewswire/ — Today, Happiest Baby announced a voluntary recall of its extra-small (XS) and extra-large (XL) SNOO Sacks®. This action follows a communication from the U.S. Food and Drug Administration (FDA), advising Happiest Baby that the Company needed to obtain FDA’s premarket authorization for those two sizes.

Out of an abundance of caution, customers are asked to discontinue use and discard their XS and XL SNOO Sacks.

This recall does not include the SNOO Smart Sleeper or the small, medium, and large SNOO Sacks. SNOO Smart Sleeper® and the small, medium, and large SNOO Sacks received FDA

De Novo authorization in 2023. In addition, it does not affect any Sleepea® swaddle sacks, including XS and XL Sleepeas. (Sleepea sacks have no wings and are only designed for use outside of a SNOO.)

The XS and XL SNOO Sacks were launched after the original FDA De Novo submission and, as a result, were not part of the FDA review.

Note: The XS SNOO Sack is ¾” narrower and 2″ shorter than the FDA-authorized small size sack. The XL SNOO Sack is ½” wider and 3″ longer than the FDA-authorized large size sack. The FDA stated that these changes could result in a fit that was too loose or too tight. Happiest Baby has not received any reports of injury in connection with the use of XS or XL SNOO Sacks.

Anyone who purchased an XS or XL SNOO Sack, in the U.S. from Happiest Baby’s website can apply for a refund or exchange for a small, medium, or large SNOO Sack by visiting http://happiestbaby.com/xs-xl-support. Customers who purchased an XL SNOO Sack from Amazon should contact Amazon directly (888-280-4331).

Happiest Baby remains committed to meeting the highest standards for quality, safety, and family wellbeing. SNOO remains the first and only baby bed granted FDA De Novo authorization for keeping babies safely positioned on the back—all naps, all night.

Consumers with further questions are encouraged to contact Happiest Baby Customer Care at http://happiestbaby.com/help.

ABOUT HAPPIEST BABY

Happiest Baby, Inc. is a mission-driven company dedicated to enhancing the health and well-being of children, parents, and healthcare workers. Co-founded by world-renowned pediatrician Dr. Harvey Karp and his wife, Nina Montée Karp, the company creates innovative, science-backed content and products such as the SNOO Smart Sleeper, Sleepea swaddle, and the SNOObie white noise machine.

Dr. Karp is the author of the celebrated parenting books and videos, The Happiest Baby on the Block, The Happiest Toddler on the Block, The Happiest Baby’s Guide to Great Sleep: Birth to Five. They have been translated into dozens of languages and helped millions of families worldwide.

CONTACT
press@happiestbaby.com 

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SOURCE Happiest Baby, Inc.

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