Mycelial Biomass Enzymes of Cordyceps militaris and Lentinula edodes in Baking Technology by Svetlana I. Koneva, Elena Yu. Egorova

“…Mycelial biomass of C. militaris and L. edodes proved to be a good source of enzymes to be used with grain substrates in bakery production. …”
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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

“…Abstract Deep learning is one of the most popular machine learning methods, and has been used in many applications. However, conventional deep learning is a fully deterministic model that has difficulty reducing data uncertainty while shedding no light on model transparency. …”
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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…This adaptability highlights the importance of representation choice in optimizing model performance. Source code for MoL-MoE is available at https://github.com/IBM/materials/tree/main/models/mol_moe .…”
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Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset by Mautushi Das, Gonzalo Ferreira, C.P. James Chen

“…Future work should focus on adaptive methods and advanced data augmentation to improve generalization and robustness. …”
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Force Analysis of Material Movement in a Horizontal Mixer of a Hydrolytic Chamber: a Case Study of Soybean Meal Processing by M. G. Zagoruiko, M. E. Belyshkina, I. A. Bashmakov, A. M. Maradudin

“…(Materials and methods) The analysis focuses on the system of forces acting on a material particle resting on the helical surface of a horizontal screw and pressed against the inner wall of the casing. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…DeepMol rapidly and automatically identifies the most effective data representation, pre-processing methods and model configurations for a specific molecular property/activity prediction problem. …”
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Multi-scale remote sensing for sustainable citrus farming: Predicting canopy nitrogen content using UAV-satellite data fusion by Dagan Avioz, Raphael Linker, Eran Raveh, Shahar Baram, Tarin Paz-Kagan

“…Accurate monitoring of nitrogen (N) levels, while accounting for spatiotemporal variability is crucial for optimizing fertilization in citrus orchards. Traditional methods, such as frequent leaf and soil sampling followed by laboratory analysis, are costly, labor-intensive, and prone to human error. …”
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Emerging Role of Mesenchymal Stromal Cell and Exosome Therapies in Treating Cognitive Impairment by Vick Key Tew, Muttiah Barathan, Fazlina Nordin, Jia Xian Law, Min Hwei Ng

“…While these therapies hold great promise, challenges such as variability in MSC sources, optimal dosing, and effective delivery methods need to be addressed for clinical application. …”
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Development of a robust FT-IR typing system for Salmonella enterica, enhancing performance through hierarchical classification by Diego Fredes-García, Javiera Jiménez-Rodríguez, Alejandro Piña-Iturbe, Pablo Caballero-Díaz, Tamara González-Villarroel, Fernando Dueñas, Aniela Wozniak, Aiko D. Adell, Andrea I. Moreno-Switt, Patricia García

“…Traditional serotyping methods for Salmonella are accurate but expensive, resource-intensive, and time-consuming, necessitating faster and more reliable alternatives. …”
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ECONOMIC AND LEGAL PREREQUISITES FOR THE FUNCTIONING OF STARTUPS IN MODERN SOCIETY: ISSUES OF INTERNATIONAL AND NATIONAL LEGAL REGIMES by Viktor Makovii, Rashad Mamedov, Illia Klochko

“…The present study employed a combination of general scientific and special legal methods. The analysis determined the quantitative and qualitative parameters of the organisational, legal and economic principles of determining startups in modern conditions. …”
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Effects of virtual reality-based interventions on cognitive function, emotional state, and quality of life in patients with mild cognitive impairment: a meta-analysis by Xiaohan Li, Yuting Zhang, Lifeng Tang, Lifeng Tang, Lin Ye, Min Tang

“…ObjectivesThis meta-analysis aims to systematically evaluate the effects of virtual reality (VR)-based interventions on cognitive function, emotional state, and quality of life in patients with mild cognitive impairment (MCI).MethodsA comprehensive literature search was conducted using five databases from their inception to June 2024. …”
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Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers by Elif Sertel, Can Michael Hucko, Mustafa Erdem Kabadayı

“…Historical maps are valuable sources of geospatial data for various geography-related applications, providing insightful information about historical land use, transportation infrastructure, and settlements. …”
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Strategies for Addressing the Lack of Artificial Intelligence Regulations to Protect Consumers in Digital Communication by Sari Norma, Winiarti Sri, Fajri Choirul, Zulhuda Sonny

“…Employing normative legal research methods, the study utilizes a statutory regulation approach, drawing on both primary data sources and secondary legal materials. …”
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Enhancing Power Density in Switched Reluctance Generators Through Split Axial Segmentation by Parlin Siagian, Ira Devi Sara, Tarmizi Tarmizi, Nasaruddin Nasaruddin

“…These findings highlight the potential for harvesting low-power driving energy from natural sources, contributing to advancing renewable energy technologies. …”
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Carbon sequestration by microalgae to reduce carbon emission and strengthening strategy by WANG Yi, CHEN Danqing, MAO Weiwei, LI Pengcheng, SONG Chunfeng*

“…CCUS technology captures carbon dioxide from emission sources such as coal-fired power plants, industrial processes, and even directly from the atmosphere. …”
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Efficiency improvement in silicon and perovskite solar cells through nanofluid cooling using citrate and PVP stabilized silver nanoparticles by Shankar Rajukkannu, Wasurat Bunpheng, Ratchagaraja Dhairiyasamy, V. Gopinath

“…Future research should refine the experimental design, increase sample size, and explore other nanoparticle types and stabilization methods to optimize solar cell efficiency and thermal management. …”
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The Heisenberg-RIXS instrument at the European XFEL by Justine Schlappa, Giacomo Ghiringhelli, Benjamin E. Van Kuiken, Martin Teichmann, Piter S. Miedema, Jan Torben Delitz, Natalia Gerasimova, Serguei Molodtsov, Luigi Adriano, Bernard Baranasic, Carsten Broers, Robert Carley, Patrick Gessler, Nahid Ghodrati, David Hickin, Le Phuong Hoang, Manuel Izquierdo, Laurent Mercadier, Giuseppe Mercurio, Sergii Parchenko, Marijan Stupar, Zhong Yin, Leonardo Martinelli, Giacomo Merzoni, Ying Ying Peng, Torben Reuss, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Tim Laarmann, Simo Huotari, Christian Schroeter, Burkhard Langer, Tatjana Giessel, Jana Buchheim, Grzegorz Gwalt, Andrey Sokolov, Frank Siewert, Robby Buechner, Vinicius Vaz da Cruz, Sebastian Eckert, Chun-Yu Liu, Christian Sohrt, Christian Weniger, Annette Pietzsch, Stefan Neppl, Friedmar Senf, Andreas Scherz, Alexander Föhlisch

“…Resonant inelastic X-ray scattering (RIXS) is an ideal X-ray spectroscopy method to push the combination of energy and time resolutions to the Fourier transform ultimate limit, because it is unaffected by the core-hole lifetime energy broadening. …”
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Fluorescence-based thermometry for precise estimation of nanoparticle laser-induced heating in cancerous cells at nanoscale by Peltek Oleksii O., Ageev Eduard I., Talianov Pavel M., Mikushina Anna D., Epifanovskaya Olga S., Dubavik Aliaksei, Veiko Vadim P., Lepik Kirill, Zuev Dmitry A., Timin Alexander S., Zyuzin Mikhail V.

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Recent Advances and Future Prospects of Lithium Recovery from Low-Grade Lithium Resources: A Review by Jihan Gu, Binjun Liang, Xianping Luo, Xin Zhang, Weiquan Yuan, Bin Xiao, Xuekun Tang

“…Future research should focus on improving the selectivity and efficiency of extraction and processing technologies, optimizing separation processes, and developing green and cost-effective extraction methods. …”
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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

“…However, the accuracy of ML predictions is strongly dependent on the underlying data, while the data of lithium battery materials faces many challenges, such as the multi‐sources, heterogeneity, high‐dimensionality, and small‐sample size. …”
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