Clinical education is a vital yet challenging phase for health professions students 🩺🎓. This systematic review explores how medical radiation undergraduates and other healthcare students experience difficult clinical interactions, including communication barriers, emotionally distressed patients, and high-pressure environments 😓🤝. These challenges often influence confidence, learning outcomes, and overall well-being during clinical placements.
The review highlights both shared and discipline-specific stressors across health programs 📊🏥. Medical radiation students frequently face technical responsibility alongside patient care, while nursing, medical, and allied health students encounter complex interpersonal and ethical situations 💬⚖️. Despite these differences, emotional stress, fear of making mistakes, and managing patient expectations remain common concerns.
To cope, students adopt a range of strategies focused on resilience and support 🌱💪. Peer discussions, mentorship, reflective journaling, and institutional support systems play a crucial role 🤗📘. The findings emphasize the importance of structured coping skill training and supportive clinical environments to better prepare future healthcare professionals for real-world practice ✨🩻.
Global Scholar Awards 🌟
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High-speed on/off valves play a vital role in modern hydraulic and pneumatic systems, offering fast response, high precision, and energy-efficient control 🚀. Recent research focuses on improving switching speed, reducing flow ripple, enhancing durability, and integrating intelligent control algorithms for advanced automation 🤖🔧.
From a research status perspective, scholars are actively exploring novel valve structures, electromagnetic drive optimization, and digital control strategies to meet industrial demands 🏭. High-speed on/off valves are now widely applied in robotics, aerospace, automotive systems, and smart manufacturing, driving innovation across multiple engineering domains 🌐✨.
Bibliometric analysis reveals rapid growth in publications, strong interdisciplinary collaboration, and increasing citations in control engineering and fluid power research 📈. Emerging hotspots include AI-based control, energy-saving design, and fault diagnosis, indicating promising future directions for this evolving technology 🔍⚡.
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High-sensitive planar capacitive sensors for multidirectional force detection are designed to accurately sense forces applied from different directions by monitoring tiny variations in capacitance 🔍. Their planar architecture allows uniform stress distribution, resulting in enhanced sensitivity and stable signal output even under low-force conditions ⚙️📐.
These sensors offer fast response time, high resolution, and excellent repeatability, making them suitable for applications that require precise force discrimination ⚡📊. The compact and lightweight design enables easy integration into flexible electronics, MEMS devices, and smart systems without adding bulk 🧩.
Widely used in robotics, wearable technology, biomedical devices, and human–machine interaction systems 🤖🖐️, planar capacitive sensors provide low power consumption and reliable multidirectional force feedback 🔋. Their ability to detect subtle force changes improves control accuracy, safety, and overall system intelligence 🌐✨.
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Machine learning is transforming the study of heavy rare earth–based low-temperature magnetocaloric materials by enabling intelligent analysis of complex magnetic and thermal behaviors ❄️🧲🤖. These materials are crucial for next-generation solid-state refrigeration, and ML helps uncover hidden patterns within large experimental datasets that traditional methods often miss 📊🔍.
Advanced classification algorithms such as neural networks, support vector machines, and ensemble models efficiently categorize materials based on entropy change, magnetic transition, and crystal structure 🧠⚙️. By learning from multidimensional features, ML improves accuracy in predicting performance and stability under low-temperature conditions 🚀🔬.
This data-driven approach accelerates material discovery, reduces experimental cost, and supports sustainable cooling technologies 🌱✨. Integrating machine learning with magnetocaloric research opens new pathways for designing energy-efficient refrigeration systems and advancing smart materials science in the era of AI 🌍🤖❄️.
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🔬❄️ Superconductivity remains one of the most fascinating phenomena in modern physics, promising lossless energy transmission, powerful quantum devices, and next-generation electronics. However, predicting superconducting transition temperatures (Tc) across diverse materials is challenging due to complex underlying physics. Physics-informed machine learning bridges this gap by embedding physical laws directly into data-driven models, ensuring predictions that are not only accurate but also physically meaningful 🧠⚡
🤖📊 By unifying experimental data with theoretical constraints, this framework leverages material descriptors, electronic structures, and thermodynamic principles to learn universal patterns governing superconductivity. Unlike black-box AI models, physics-guided approaches improve interpretability, reduce overfitting, and enhance generalization across material classes. This synergy allows researchers to explore vast chemical spaces efficiently while maintaining trust in the predictions 🔍✨
🚀🔮 The impact of this approach extends beyond prediction, accelerating the discovery of high-Tc superconductors and guiding experimental design. With faster screening, reduced trial-and-error, and deeper physical insight, physics-informed machine learning marks a transformative step toward intelligent materials discovery, paving the way for future energy-efficient and quantum technologies 🌍⚙️
International Research Awards on New Science Inventions🌟
TheInnovative Research Awardhonors researchers who dare to think differently and push the boundaries of science and technology. 🌟 From groundbreaking experiments to transformative solutions, this award highlights ideas that inspire change and shape the future. 🔬💡
🌍 Impact Beyond the Lab Innovation isn’t just about discovery—it’s about making a real-world impact. 🌱💻 Awardees contribute to society by solving complex challenges, improving lives, and advancing knowledge across disciplines. Their work bridges the gap between imagination and practical solutions. 🌐✨
🏅 Inspire the Next Generation
By recognizing visionary researchers, the award motivates aspiring scientists and innovators to pursue bold ideas. 🎓🧪 Every achievement celebrated here sparks curiosity, encourages collaboration, and sets the stage for a brighter, smarter tomorrow. 💫📈
International Research Awards on New Science Inventions🌟
Navigating the innovation curve in today’s emerging industries is no longer just about breakthrough ideas—it’s about how effectively science and technology converge to turn those ideas into real-world impact 🚀. From AI-driven research labs to biotech startups and clean energy solutions, the fusion of scientific discovery with advanced digital tools is reshaping how innovation happens. This convergence shortens development cycles, reduces risk, and allows industries to move faster from research to market 🔬⚙️.
As industries climb the innovation curve, collaboration and adaptability become essential 🤝. Scientists, technologists, and entrepreneurs are increasingly working across disciplines to solve complex problems that no single field can tackle alone. Cloud computing, big data analytics, and automation are enabling smarter experimentation and scalable solutions 📊💡. For emerging industries, this means faster iteration, smarter decision-making, and the ability to stay competitive in rapidly evolving markets.
At the top of the curve, sustainable and human-centered innovation takes the spotlight 🌱🌍. Science–technology convergence is not just driving economic growth, but also creating solutions for global challenges such as healthcare access, climate change, and energy efficiency. Businesses and innovators who embrace this integrated approach are better positioned to lead the future—where innovation is agile, responsible, and built to last ✨.
International Research Awards on New Science Inventions🌟
⚡🤖 Transformer-based predictive energy managementis transforming how renewable energy systems operate by using advanced AI models to forecast power generation and consumption with remarkable accuracy. By analyzing time-series data from solar ☀️ and wind 🌬️ sources, transformer models anticipate fluctuations, enabling smarter scheduling and reduced energy losses in modern power networks.
💧🔋 When integrated with hydrogen energy systems, this predictive approach optimizes green hydrogen production, storage, and utilization. Excess renewable energy is efficiently converted into hydrogen via electrolysis ⚙️, stored for later use, and reconverted into power when demand rises, ensuring flexibility, reliability, and minimal curtailment 🔄.
🌱🌍 Together, AI-driven transformers and hydrogen-integrated renewables support a resilient, low-carbon energy future. This intelligent energy management framework enhances grid stability ⚡, lowers emissions ♻️, and accelerates the transition toward sustainable, smart energy ecosystems 🚀.
International Research Awards on New Science Inventions🌟
Digital Science, a global technology company advancing research integrity, security, and impact, today affirmed its support for U.S. government efforts to safeguard taxpayer-funded research, following the release of a new investigative report by the Select Committee on the Chinese Communist Party.
The report contains numerous examples of U.S-funded research links with China’s defense research and industrial base—including entities that appear on U.S. government national security entity lists—from June 2023 to June 2025, obtained by using Digital Science’s Dimensions.
Dimensions is the world’s largest interconnected global research database. The platform, which includes Dimensions Research Security, leverages AI to offer unmatched visibility for verifying researcher credentials in critical sectors like defense and high-tech research.
“Safeguarding U.S.-funded research starts with a fundamental understanding of the affiliations, funding, and collaborations of the researchers themselves. Dimensions provides trusted, comprehensive data to quickly identify hidden connections and potential risks,” said Mark Franco, Vice President, Research Security & Intelligence, Digital Science.
“We are proud to support government agencies and oversight bodies with transparent, evidence-based insights that help protect U.S. Federal research investments while preserving the openness that drives scientific progress.”
Foreign influence and the exploitation of open research systems are growing concerns for the U.S.; the committee’s report highlights the importance of balancing “academic freedom and open science with national security interests”. According to a recent congressional hearing of the Committee of Science, Space, and Technology, intellectual property theft and espionage cost the country $600 billion annually. This hearing also highlighted the need for government funding agencies to work together, the expansion of the American-born STEM talent pipeline, and the strengthening of analytic vetting and continuous monitoring.
“As a partner to several federal and defense agencies, Digital Science remains committed to supporting U.S. government stakeholders as they work to protect national interests, uphold research security, and ensure that taxpayer-funded research advances innovation without unintended risk. Together we will strengthen research security, integrity, and compliance,” Franco said.
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, government, 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
Catalysis-mediated dynamic ligand presentation is emerging as a powerful strategy to understand how stem cells interpret their microenvironment 🔬✨. Unlike static biomaterials, dynamically presented ligands can change in response to catalytic reactions ⚙️, allowing cells to continuously sense and adapt to mechanical signals such as stiffness, tension, and force 📐🧲. This dynamic interaction plays a key role in how stem cells attach, spread, and organize their cytoskeleton 🧬.
Mechanosensing does not act alone—it is tightly linked to cellular metabolism 🔄🔥. When stem cells experience mechanical cues, these signals are transmitted through integrins and cytoskeletal networks, ultimately influencing metabolic pathways like glycolysis and mitochondrial activity ⚡🫁. Catalysis-mediated ligand changes fine-tune this process, ensuring that energy production matches mechanical demand, which is crucial for maintaining stemness or triggering differentiation 🌱.
By coupling mechanosensing with metabolism, dynamic ligand presentation offers exciting opportunities for tissue engineering and regenerative medicine 🏥🚀. Designing smart biomaterials that actively communicate with stem cells can improve cell fate control, enhance regeneration, and mimic natural extracellular matrices more accurately 🧫🌍. This approach opens new doors for creating adaptive cell environments that respond intelligently to biological needs 💡🧠.
International Research Awards on New Science Inventions🌟
Digital Science is excited to announce that its 2025 Catalyst Grant has been awarded to two teams working to advance global research through innovations in data visualization.
The winning teams, both based in the United States, will use the funding to develop their ideas, which include visualizations that demonstrate research influence and impact. Their innovations are directly relevant to researchers, academic institutions, scholarly publishers, and funders.
The winning teams from Digital Science’s 2025 Catalyst Grant round are:
FigureTwo transforms static research figures into interactive, data-connected visuals – helping researchers, publishers, and institutions create and share figures that are FAIR (Findable, Accessible, Interoperable, and Reusable)-compliant, permanently citable, and mobile-ready, saving time while making scientific results more transparent, discoverable, and impactful.
Pathfinder
Pathfinder, from company Syntheos, maps how ideas spread across more than 100,000 research communities, showing how discoveries in one area influence progress in another. It automatically turns research data into easy-to-read maps and evidence-backed narratives that link directly to the original papers. This helps funders, institutions, and researchers clearly show where their work is making a difference, and spot new opportunities for future impact.
Jeff Lang, Founder and CEO of FigureTwo, says: “We’re excited to be selected as one of this year’s winners of the Digital Science Catalyst Grant. Being considered in the same company as past winners and successful innovators is a true honor, and a recognition of everything we’ve been working toward.
“We have so much to be excited for this coming year. Our full launch is coming in 2026, when users will be able to add interactive figures to publications, and archive them to meet funder mandates. We’re also adding responsible AI automation to help turn research data into beautiful, accessible and interactive figures. This grant allows us to join the community infrastructure of scholarly communications by adding DOIs and long-term preservation.”
Caleb Smith, Founder and CEO of Syntheos, says: “Pathfinder is a game-changer because it turns raw citation counts into traceable histories. Essentially, we’re making the history of an idea visible, but more importantly, verifiable. Ultimately, our goal is simple: we want to make traceable, reproducible impact the new normal for science.
“The Catalyst Grant is critical for us because it’s allowing us to invest more in the trust layer of the product. The goal is to move from a powerful prototype to a standard, so that when we say an impact exists, you know it will hold up under audit.”
Digital Science CEO Dr Daniel Hook says: “Through our Catalyst Grants, Digital Science is proud to invest in novel innovations that have the potential to make a difference to individual researchers and the global research ecosystem alike. We congratulate the 2025 Catalyst Grant winners, who have impressed us with their unique approaches to critical issues faced in research, and their use of data visualizations to provide meaningful insights and outcomes for researchers, scholarly publishing, and funders.”
Steve Scott, Director of Portfolio Development at Digital Science, says: “We expected that our 2025 theme of Data Visualization would result in some novel entries at the intersection of science, design and data – and our winners have more than risen to that challenge.
“FigureTwo stood out to us due to the team’s deeply relevant publishing and product background, resulting in an elegant solution. Pathfinder brings a team with a deep bibliometrics and science-mapping pedigree, and a product that already aligns with our customers and products. It’s exciting for us to invest into these teams, and we can’t wait to see what they will produce in the year ahead.”
See comments from our 2025 Digital Science Catalyst Grant winners.
About Catalyst Grant
The Digital Science Catalyst Grant is an international initiative to support innovation in new software tools and technologies, to advance research and create meaningful change.
The program supports and invests in early-stage ideas in the novel use of technology, with an award of up to £25,000 for the most promising ideas that aid research and further its impact on society.
The Catalyst Grant is awarded to innovative individuals or startups without the need for a complete business or development plan. Several previous Catalyst Grant winners have developed important products and solutions within Digital Science itself.
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
🌿 Biopolymeric Compounds from Olive Oil By-Products: A Sustainable Boost for Agriculture 🌿 The olive oil production chain generates significant by-products such as olive pomace and wastewater, which are rich in valuable biopolymers. These natural compounds, when carefully extracted and processed, can be transformed into innovative materials for agricultural use. Instead of being treated as waste, olive oil by-products are now gaining attention as eco-friendly resources that support circular economy principles ♻️ and reduce environmental impact.
🌱 Enhanced Controlled-Release Biofertilizers for Smarter Farming 🌱
Biopolymeric compounds derived from olive oil by-products act as excellent carriers for nutrients, enabling controlled and sustained release into the soil. This slow-release mechanism improves nutrient uptake by plants, minimizes leaching losses, and reduces the need for frequent fertilizer application 🚜. As a result, crops receive balanced nutrition over time, leading to healthier growth and improved productivity.
🌍 Environmental and Economic Benefits for the Future 🌍
Using olive oil chain by-products as biofertilizers not only promotes sustainable agriculture but also offers economic benefits to olive-producing regions. Farmers benefit from improved soil fertility and reduced chemical fertilizer dependence, while the environment benefits from lower pollution and waste valorization 🌾. This innovative approach represents a promising step toward greener, more resilient food systems for the future ✨.
International Research Awards on New Science Inventions🌟
