🌱 Solar Greenhouse Drying Performance Using Two-Axis Tracked Parabolic Trough Collector ☀️

🌞 Harnessing Solar Energy for Greenhouse Drying

Solar energy is a clean and sustainable solution for greenhouse drying, especially when combined with advanced solar collectors. Parabolic trough solar collectors concentrate sunlight efficiently, generating high thermal energy ideal for drying agricultural products while reducing dependence on fossil fuels. 🌱☀️

πŸ”„ Role of Two-Axis Tracking Systems
A two-axis tracking system allows the parabolic trough to follow the sun throughout the day and across seasons. This continuous alignment maximizes solar radiation capture, improves thermal efficiency, and ensures uniform drying conditions inside the greenhouse. πŸ“‘⚙️

πŸ“ˆ Performance and Sustainability Benefits
Performance evaluations show that two-axis tracked parabolic trough systems deliver stable temperatures, faster drying rates, and lower energy losses. This technology enhances product quality, shortens drying time, and supports eco-friendly agricultural practices. 🌍🌿

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Kharon and Digital Science Launch Integration to Strengthen Research Security

Integrating Kharon’s data and insights with Dimensions Research Security platform to empower institutions to proactively identify foreign affiliations of concern, export control, and compliance risks

Tuesday 16 December 2025

Kharon, the premier compliance technology and data provider spanning sanctions, export controls, and other economic restrictions, and Digital Science, a leading technology company serving stakeholders across the research ecosystem, today announce they have entered into a strategic partnership.

The collaboration brings together Kharon’s risk intelligence and Digital Science’s world-leading Dimensions Research Security platform to help universities, funders, and government agencies identify and mitigate foreign influence, export control, and compliance risks, all while preserving the openness that drives global collaboration. 

This joint solution enables institutions to:

  • Reveal hidden risk pathways by mapping affiliations and connections that indicate potential exposure to high-risk or state-linked entities.
  • Automate and streamline workflows using Dimensions’ dashboard architecture, embedding Kharon’s insights directly into existing research management frameworks.
  • Scale research security operations through integrated, API-driven analysis that supports large-scale due diligence and continuous monitoring.
  • Enhance audit readiness and compliance alignment by maintaining defensible records aligned with evolving research security mandates worldwide.

Safeguarding Research in a Complex Global Landscape

Institutions today face growing pressure to balance academic innovation with the need to protect sensitive research from undue influence and emerging geopolitical risks. Across jurisdictions like the U.S., U.K., Canada, and Australia, new policies, including National Security Presidential Memorandum – 33 (NSPM-33), the Trusted Research Guidance, and Canada’s Policy on Sensitive Technology and Affiliations of Concern, are reshaping expectations for transparency, due diligence, and responsible collaboration.

Kharon’s unmatched capabilities are designed to meet rapidly evolving compliance and regulatory expectations, enabling research security officers (RSOs) and export control officers (ECOs) to quickly identify hidden affiliates of concern and ties to restricted parties in China and other jurisdictions of increased risk. Kharon’s leading offering combines advanced data analytics and artificial intelligence with subject matter expert validation and full sourcing transparency, empowering RSOs and ECOs to make defensible recommendations based on Kharon’s insights drawn from publicly available and reliable sources.

By pairing Kharon’s industry-leading intelligence with Dimensions’ world-class database of linked research information, spanning 159 million publications, 7.9 million grants, 170 million patents, 42 million datasets, nearly one million clinical trials, and over 70 percent of publications available in full text, users benefit from unmatched visibility into the relationships, outputs, and affiliations that may pose risks within institutional research portfolios.

According to Kharon’s Vice President of Partnerships, Paul Gerbino: “Our partnership with Digital Science underscores our shared commitment to helping academic institutions navigate an increasingly complex landscape. We understand that research thrives on collaboration built on trust, and we’re proud that together we’re equipping institutions with the information they need to uphold that trust with greater ease. This marks an important step in expanding our impact across the sector.”

Digital Science’s Executive Vice President of Academic, Jonathan Breeze, said: “Now more than ever, we recognize that research integrity and security are critical issues for researchers, their institutions, governments, and industry alike.

“At Digital Science, we’re pleased to play an important role in helping to safeguard research security, and in helping institutions with their government compliance. Thanks to our partnership with Kharon and our complementary strengths, we are excited to enhance our offerings even further.”

About Kharon

Kharon helps leading organizations identify a range of sanctions and compliance risks that are critical to managing financial crimes, supply chain exposure, export controls, investment risk, and other key areas. Combining cutting-edge technology, artificial intelligence and data science with industry-leading research, Kharon provides the critical insights required for a comprehensive view of risk and commercial threats.

Visit Kharon.com and follow Kharon on LinkedIn to learn more.

Media contact

media@kharon.com 

About Digital Science

Digital Science is an AI-focused technology company providing innovative solutions to complex challenges faced by researchers, universities, funders, industry, and publishers. We work in partnership to advance global research for the benefit of society. Through our brands – Altmetric, Dimensions, Figshare, IFI CLAIMS Patent Services, metaphacts, Overleaf, ReadCube, Symplectic, and Writefull – we believe when we solve problems together, we drive progress for all. Visit digital-science.com and follow Digital Science on Bluesky, on X or on LinkedIn.

Media contact

David Ellis, Press, PR & Social Manager, Digital Science: Mobile +61 447 783 023, d.ellis@digital-science.com

The post Kharon and Digital Science Launch Integration to Strengthen Research Security appeared first on Digital Science.



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⚡🌱 Optimized Resource Scheduling & Capacity Allocation in Integrated Electricity–Heat–Gas–Hydrogen Energy Systems πŸ”₯

Resource scheduling and capacity allocation optimization in integrated electricity–heat–gas–hydrogen energy systems play a critical role in building resilient and low-carbon energy infrastructures. By coordinating multiple energy carriers within a single framework, these systems enhance overall efficiency, reduce operational costs, and improve the utilization of renewable resources such as wind and solar power. Smart optimization ensures energy is delivered where and when it is needed most, minimizing waste and maximizing reliability.


πŸ”„πŸ’‘ Advanced optimization models and intelligent scheduling algorithms enable real-time balancing between electricity generation, heat supply, gas networks, and hydrogen production or storage. These tools account for demand uncertainty, renewable intermittency, and system constraints, allowing flexible energy conversion and storage across sectors. As a result, integrated systems can respond dynamically to fluctuations while maintaining stable and secure energy delivery.

πŸŒπŸš€ The optimization of capacity allocation supports long-term planning by identifying the most cost-effective investments in infrastructure, including electrolyzers, thermal storage, and gas-to-power units. This holistic approach accelerates decarbonization, supports hydrogen economy development, and strengthens energy security, making integrated multi-energy systems a cornerstone of sustainable and intelligent future energy networks πŸŒΏπŸ”‹

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❄️Thermodynamic Analysis of Liquid Air Energy Storage Integrated with LNG Cold Energy RecoveryπŸ”₯

Liquid Air Energy Storage (LAES) is an emerging large-scale energy storage technology that stores electricity by liquefying air at low temperatures ❄️⚡. During peak demand, the liquid air is regasified and expanded to generate power, making LAES a clean, flexible, and grid-friendly solution for renewable energy integration πŸŒπŸ”‹.

Liquefied Natural Gas (LNG) regasification releases a significant amount of cold energy that is often wasted 🧊πŸ”₯. By integrating LNG cold energy recovery with LAES, the air liquefaction process becomes more efficient, reducing compression work and thermodynamic losses. This synergy improves round-trip efficiency and enhances overall system performance ♻️⚙️.

Thermodynamic analysis of the integrated LAES–LNG system evaluates energy and exergy flows to identify performance gains and optimization opportunities πŸ“Š❄️. Results show reduced energy consumption, higher efficiency, and lower carbon impact, highlighting the potential of cryogenic energy coupling for sustainable and resilient future power systems 🌱⚡.

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♻️Optimizing Hydrogen Production from Waste with Plasma Gasification πŸ”₯

Plasma gasification is emerging as a game-changing technology for converting refractory organic solid waste into clean hydrogen fuel ⚡♻️. Unlike conventional waste treatment methods, plasma systems operate at extremely high temperatures, breaking down even the most resistant materials into syngas while minimizing harmful emissions 🌍. This process not only supports sustainable waste management but also contributes to the global shift toward greener energy sources 🌱.

A key focus of recent research is optimizing the plasma gasification process to maximize hydrogen output πŸ”¬⚙️. By fine-tuning factors such as reactor temperature, feedstock composition, energy input, and plasma intensity, scientists can significantly enhance conversion efficiency and overall system performance. These improvements help ensure that the energy consumed during the plasma process is lower than the energy recovered in the form of hydrogen πŸ”‹πŸš€.

Energy efficiency analysis plays a crucial role in determining the true viability of hydrogen production from solid waste 🌑️πŸ“Š. Through advanced modeling, lifecycle assessments, and real-time monitoring, researchers can identify bottlenecks and refine system parameters for optimal results. With continuing innovation, plasma gasification stands as a promising pathway toward clean hydrogen generation and a circular, eco-friendly future 🌎✨.


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πŸ”‹ Chemistry & Potential of Metal–Organic Frameworks for Electrochemical Energy Storage ⚡πŸ”¬

Metal–organic frameworks (MOFs) are emerging as one of the most exciting materials in modern chemistry πŸ”¬✨. Their unique structures, formed by metal ions and organic linkers, create ultrahigh surface areas and customizable porous networks. These exceptional features make MOFs highly attractive for applications that require efficient ion movement, stability, and energy interaction.


In the field of electrochemical energy storage, MOFs are quickly gaining attention as promising candidates for next-generation batteries and supercapacitors ⚡πŸ”‹. Their tunable architecture allows scientists to design materials with enhanced conductivity, faster charge–discharge rates, and improved cycling stability. MOF-based electrodes can also support high energy and power densities, addressing key limitations of conventional storage technologies.

As global demand for clean and efficient energy solutions grows, MOFs hold tremendous potential for shaping a sustainable energy future 🌍✨. Researchers are actively exploring new MOF compositions, hybrid materials, and structural modifications to push performance even further. With their versatility and transformative capabilities, MOFs could soon play a major role in powering smart devices, electric vehicles, and renewable energy systems πŸ”‹.

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Digital Science invites Overleaf users to test next-gen AI capabilities

Overleaf Labs provides access to new AI features, seeks user feedback

Wednesday 10 December 2025

Digital Science today announced the first of its next-generation AI capabilities in Overleaf, the leading collaborative cloud-based writing and editing platform for LaTeX.

The new AI assistant – initially available in a closed beta to Overleaf Labs users – fully integrates the capabilities of multiple Digital Science products directly within the Overleaf editor, to provide specialized agents and AI capabilities made for researchers.

Overleaf Labs users who choose to explore the new features are asked to provide feedback to help shape future development, in line with Digital Science’s responsible development of AI features.

This release marks Digital Science’s next development phase of AI-based solutions, bringing together major capabilities in one dedicated, context-aware AI panel within Overleaf: a research-focused writing assistant, and a first-of-its-kind citation reviewer powered by Dimensions, the world’s largest interconnected global research database with more than 160 million research articles, pre-prints, books, chapters, conference proceedings and seminars.

A research-ready writing assistant, built for LaTeX

Unlike generic AI tools, Overleaf’s new assistant is deeply aware of both the document and its LaTeX structure. It helps users move from idea to polished output with far less friction:

  • LaTeX-aware writing and code generation: Create or refine tables, figures, equations, and other LaTeX elements using natural prompts—without juggling syntax.
  • Contextual explanations and troubleshooting: Get clear, immediate guidance on LaTeX errors or confusing commands, right when and where you need it.
  • Seamless in-editor workflow: Because the assistant works within the Overleaf project, every suggestion fits the document’s structure and version history—no copying, pasting, or switching tools.

Integrated citation reviewer: helping researchers produce publisher-ready manuscripts

The new citation reviewer is designed to support one of the most time-intensive parts of academic writing: ensuring that every claim is properly supported before submission. Acting almost like an early, automated layer of peer review, it helps authors catch missing citations and strengthen the integrity of their work.

  • Identifies where citations may be missing: The reviewer scans the user’s Overleaf project to highlight statements that may require a reference, helping authors ensure their manuscript meets the expectations of reviewers and publishers.
  • Suggests appropriate references using Dimensions: Powered by Digital Science’s Dimensions—the world’s largest linked research database—the citation reviewer uses a specially developed algorithm to suggest relevant, high-quality references that align with the surrounding text.
  • Inserts citations effortlessly: With a single click, authors can add both the in-text citation and the correct bibliography entry, ensuring consistency and accuracy throughout the manuscript.
Examples of Overleaf’s new AI capabilities

“Digital Science has always pioneered responsible AI solutions with the needs of the research community in mind,” said Digital Science CEO Dr Daniel Hook.

“We have had a vision to introduce this functionality and have been working in this direction for some years, but this is the first time that we think the technology is satisfying enough for a user to have a really good experience. Overleaf, with its community of over 20 million users, was the natural choice to see if we’re right! We know that whether someone is a novice or expert at LaTeX, these new features will allow them to spend more time on research and innovation, rather than on time-intensive tasks.” 

By combining advanced AI capabilities with Overleaf’s intuitive editor, the new assistant helps researchers spend less time coding and troubleshooting and more time producing high-quality work.

About Overleaf

Overleaf is the market-leading scientific and technical writing platform from Digital Science. It’s a LaTeX editor that’s easy enough for beginners and powerful enough for experts. Loved by over 20 million users, it’s trusted by top research institutions and Fortune 500 companies around the world. Users can collaborate easily with colleagues, track changes in real-time, write in LaTeX code or a visual editor, and work in the cloud or on-premises. With Overleaf, anyone can write smarter—creating complex, beautifully formatted documents with ease. Visit overleaf.com and follow Overleaf on X, or on LinkedIn.

About Dimensions

Part of Digital Science, Dimensions hosts the largest collection of interconnected global research data, re-imagining research discovery with access to grants, publications, clinical trials, patents and policy documents all in one place. Follow Dimensions on Bluesky, X and LinkedIn.

About Digital Science

Digital Science is an AI-focused technology company providing innovative solutions to complex challenges faced by researchers, universities, funders, industry, and publishers. We work in partnership to advance global research for the benefit of society. Through our brands – Altmetric, Dimensions, Figshare, IFI CLAIMS Patent Services, metaphacts, Overleaf, ReadCube, Symplectic, and Writefull – we believe when we solve problems together, we drive progress for all. Visit digital-science.com and follow Digital Science on Bluesky, on X or on LinkedIn.

Media contact

David Ellis, Press, PR & Social Manager, Digital Science: Mobile +61 447 783 023, d.ellis@digital-science.com

The post Digital Science invites Overleaf users to test next-gen AI capabilities appeared first on Digital Science.



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