Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
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إطارٌ مُقترحٍ في الرِّياضيَّات المدرسيَّة لتَعَلُّم الذَّكاء الاصطناعيِّ وتنمية مَهَارة حلِّ المُشكلات والرَّغبة المُنتجة في المرحلة الثانوية A Proposed Framework for School Mathematics to Learn Artificial Intelligence, and its improvement of Problem-Solving Skills and Productive Disposition for Secondary School Level [PDF]
هدفت الدراسة إلى بناء إطار مقترح في الرياضيات المدرسية لتعلم الذكاء الاصطناعي، وتنمية مهارة حل المشكلات والرغبة المنتجة لدى طلاب وطالبات المرحلة الثانوية. ولتحقيق ذلك اعتمدت الدراسة المنهج النوعي باستخدام تحليل المحتوى الموضوعي، والمقارنة المرجعية لتحليل
هناء بنت أحمد بن غرم الله الحمراني +2 more
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Context, Anchoring and Dispositional Effects in Evaluating Product Prices
Evaluation of product prices is to some extent influenced by a d iverse set of cognitive heuristics. The context in which the evaluation takes place, internal dispositions and external stimuli influence informat ion processing and judgment formation. In the present field study three groups of factors were applied: (a) product price references (maximu m,
Eitan Elaad, Neta Sayag-Pinto
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ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi +4 more
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Modulus‐Switchable Miniature Robots for Biomedical Applications: A Review
Materials, robot designs, proof‐of‐concept functions, and biomedical applications of modulus‐switchable miniature robots. Miniature soft robots have shown great potential in biomedical applications due to their excellent controllability and suitable mechanical properties in biological environments.
Chunyun Wei, Yibin Wang, Jiangfan Yu
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Extending historical consciousness: Past futures and future pasts
The concept of Historical Consciousness which played a prominent role in modernising history education in many countries was introduced into the debate of history education in the mid 1970s.
Andreas Körber
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An Examination of Online Product Comparison Service: Fit Between Product Type and Disposition Style
Horizontal and vertical disposition styles are two main formats used in product comparison service on e-commerce websites. In this research, we hypothesize that there is a fit between product type ('think' vs. 'feel' product) and disposition style (horizontal vs.
Fiona Fui-Hoon Nah +3 more
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Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
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فاعلية استراتيجية مقترحة قائمة على نظرية الذكاء الناجح في تدريس الرياضيات لتنمية الفهم العميق لدى طلاب الصف الأول الثانوي A Program Based on the Successful Intelligence Theory in Teaching Geometry to Develop Deep Understanding and Ingenuity of Secondary School Students [PDF]
تحددت مشكلة البحث الحالي في وجود ضعف مستوى طلاب المرحلة الثانوية في أبعاد الفهم العميق والبراعة الرياضية، وللتغلب على هذه المشكلة، استخدم البحث الحالي برنامج قائم على نظرية الذكاء الناجح، وهدف البحث الحالي إلى تحديد فاعلية استخدام برنامج قائم على نظرية ...
محمود عبدالهادي عطية متولي +2 more
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Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
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