Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data by Hoon Jeong Lee, Arlene Chiu, Yida Lin, Sreyas Chintapalli, Serene Kamal, Eric Ji, Susanna M. Thon

“…One barrier to ML implementation is that most models reported to date are trained on computer simulated data, due to the difficulty in experimentally collecting the massive data sets needed for model training, limiting the ability to assess the limitations and validity of these methods, as well as to access new potential physical mechanisms absent in simulations. …”
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Quantitative characterization of the mass transfer of volatile amphiphiles between vapor and aqueous phases: Experiment vs theory by Ralitsa I. Uzunova, Krassimir D. Danov, Rumyana D. Stanimirova, Theodor D. Gurkov

“…The obtained physicochemical parameters related to the evaporation and condensation of volatiles are important for the rigorous modeling of their complex mixed solutions of practical interest. The semiempirical model could be used for the quantitative classification of volatile molecules with respect to their ability to evaporate.…”
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The analysis of interactive furniture design system based on artificial intelligence by Xiaohong Jiang

“…This enhances the AI-assisted design system’s ability to generate diverse design solutions while avoiding the limitations of traditional systems. …”
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Method for approximate analytical calculation of electromagnetic wave reflection coefficients from a layer of inhomogeneous non-reciprocal chiral metamaterial taking into account d... by Dmitry N. Panin, Oleg V. Osipov, Yuliya S. Mamoshina

“…Inhomogeneous non-reciprocal chiral metamaterials are of particular interest due to their ability to control the polarization of electromagnetic waves and alter their properties. …”
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A comprehensive design schedule for electrosprayed thin films with different surface morphologies by S. W. Karuga, E. M. Kelder, M. J. Gatari, M. J. Gatari, J. C. M. Marijnissen

“…The technique is outstanding because of its high deposition efficiency and ability to achieve thin films with different surface morphologies. …”
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Recent Advances and Applications of Flexible Phase Change Composites by Lichang Lu, Hongxu Guo, Ignacio Martin‐Fabiani, Ye Zhou, Helen Willcock, Goran T. Vladisavljević, James JC Busfield, Emiliano Bilotti, Ton Peijs, Han Zhang, Yi Liu

“…ABSTRACT Flexible phase change composites (FPCCs) have garnered significant attention for their ability to combine high latent heat capacity with mechanical flexibility. …”
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Advancements in green extraction technologies for pectin enhancing efficiency, sustainability, and functional properties: a systematic review by R. J. Mapartida Yapias, F. Ore Areche, J. P. Echevarria Victorio, J. Paucarchuco Soto, G. R. Lobato Calderon, E. R. Palomino Santos, J. M. Montalvo Otivo, C. Flores-Miranda, A. Ruiz Rodriguez

“…Abstract Plants produce pectin as a versatile biopolymer stemming from their cell walls where it shows importance in food together with pharmaceuticals and cosmetics because of its gel-forming ability and thickening and stabilizing traits. The extraction techniques for pectin traditionally demand high amounts of power alongside hazardous solvents while needing extended processing durations. …”
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A Decision Model for the Order Sequence and Delivery Date Problem in Companies Manufacturing According to the Order by Alperen Calapoğlu, Melike Şişeci Çeşmeli, İhsan Pençe, Özlem Çetinkaya Bozkurt

“…While determining how to choose between indivisible orders under a limited capacity, the ability of heuristic optimization to produce fast and reasonable solutions is utilized. …”
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Fostering scientific creativity in science education through scientific problem-solving approaches and STEM contexts: a meta-analysis by Fredyrose Ivan Libosada Pinar, Albert Andry E. Panergayo, Richard R. Sagcal, Dharel P. Acut, Lydia S. Roleda, Maricar S. Prudente

“…Abstract Scientific creativity is a critical component of science education, promoting innovative thinking and the ability to address complex, real-world challenges. …”
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AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications by Xiaoya Chen, Huinan Xu, Shengjie Yu, Wan Hu, Zhongjin Zhang, Xue Wang, Yue Yuan, Mingyue Wang, Liang Chen, Xiumei Lin, Yinlei Hu, Pengfei Cai

“…Case studies in precision oncology illustrate AI’s ability to decode tumor ecosystems and predict treatment outcomes. …”
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Unveiling the CO2 adsorption capabilities of carbon nanostructures from biomass waste: An extensive review by Arun Kumar Senthilkumar, Mohanraj Kumar, Mohammed Abdul Kader, Mohd. Shkir, Jih-Hsing Chang

“…Owing to their distinct characteristics, including their large surface area, pore size, and ability to attach various functional groups, they are the perfect source material for CO2 adsorption. …”
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Cancer stem cells: Bridging microenvironmental interactions and clinical therapy by Huiling Wang, Junshu Li, Fei Du, Hongxin Deng

“…Although they constitute only a minority of tumour cells, CSCs have become a central force driving tumourigenesis, metastasis, recurrence and resistance to therapy, owing to their abilities for self‐renewal, multi‐lineage differentiation and tumour‐initiating ability. …”
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A recent advances in antimicrobial activity of green synthesized selenium nanoparticle by Durgadevi Ravi, Bhuvaneshwari Gunasekar, Vishwanathan Kaliyaperumal, Shyamaladevi Babu

“…Furthermore, their antiviral characteristics and ability to alter immune responses highlight their medicinal applications. …”
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Clinical Applicability and Cross-Dataset Validation of Machine Learning Models for Binary Glaucoma Detection by David Remyes, Daniel Nasef, Sarah Remyes, Joseph Tawfellos, Michael Sher, Demarcus Nasef, Milan Toma

“…The models were trained and validated on retinal fundus images and tested on an independent dataset to assess their ability to generalize across different patient populations. …”
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Fractional-order mathematical model for Monkeypox transmission dynamics using the Atangana-Baleanu Caputo operator by Benedict Celestine Agbata, Erjola Cenaj, Raimonda Dervishi, Yahaya Jibrin Danjuma, Mshuur Mary-Anne Shior, Emmanuel Abah, Joseph Solomon Onuche, Homan Emadifar

“…The Picard–Lindelöf method is used to establish the existence and uniqueness of solutions, ensuring the model’s mathematical soundness. …”
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Microbial contributions to plant growth and stress tolerance: Mechanisms for sustainable plant production by Neha Sharma, Lovely Mahawar, Arti Mishra, Benedicte Riber Albrectsen

“…Advances in microbial genomics, metagenomics, and high-throughput phenotyping have greatly enhanced our ability to identify, characterize, and apply beneficial microbes across a range of crop systems. …”
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Prospects and challenges of energy storage materials: A comprehensive review by Md Mir Shakib Ahmed, Md. Jahid Hasan, Md. Shakil Chowdhury, Md Khaledur Rahman, Md Saiful Islam, Md Shakhawat Hossain, Md. Aminul Islam, Nayem Hossain, Md Hosne Mobarak

“…Energy storage technologies, which are based on natural principles and developed via rigorous academic study, are essential for sustainable energy solutions. Mechanical systems such as flywheel, pumped hydro, and compressed air storage rely on inertia and gravitational potential to store and release energy. …”
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Novelty of harnessing electromagnetic fields to boost graphene oxide nano particles antibacterial potency by Mai I. El-kaliuoby, Ashraf Morsy, Ahmed H. Abdel-Salam, Ahmed Morsy, Ahmed M. El‑Khatib, Alaa M. Khalil

“…The results could lead to advanced antimicrobial strategies, integrating nanotechnology with electromagnetic field exposure, offering innovative solutions to address antibiotic-resistant infections and improve treatment efficacy. …”
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Modelling the Ki67 Index in Synthetic HE-Stained Images Using Conditional StyleGAN Model by Lucia Piatriková, Katarína Tobiášová, Andrej Štefák, Dominika Petríková, Lukáš Plank, Ivan Cimrák

“…Deep learning models offer promising solutions for improving medical diagnostics, while generative models provide additional explainability of predictive models that is essential for their adoption in clinical practice. …”
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Structural, Thermal and Mechanical Assessment of Green Compounds with Natural Rubber by Xavier Colom, Jordi Sans, Frederic de Bruijn, Fernando Carrillo, Javier Cañavate

“…The inadequate disposal of tires poses a significant threat to human health and requires effective recycling solutions. The crosslinked structure of rubber, formed through sulfur bridges during vulcanization, presents a major challenge for recycling because it prevents the rubber scraps from being reshaped thermoplastically. …”
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