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

“…It emphasizes the role of grain legumes; particularly soy; one of the most protein-rich crops; as a primary feed protein source. Analytical studies have identified key strategies for developing a universal compound feed production line that integrates high-protein ingredients derived from soybean meal. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…As one of the first AutoML tools specifically developed for the computational chemistry domain, DeepMol stands out with its open-source code, in-depth tutorials, detailed documentation, and examples of real-world applications, all available at https://github.com/BioSystemsUM/DeepMol and https://deepmol.readthedocs.io/en/latest/ . …”
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Tunable Synthesis of Ultrathin BiOCl 2D Nanosheets for Efficient Photocatalytic Degradation of Carbamazepine upon Visible-Light Irradiation by Shuo Xu, Xiaoya Gao, Wenfeng Xu, Pengfei Jin, Yongmei Kuang

“…A series of ultrathin BiOCl 2D nanosheet photocatalysts were prepared by the TBAOH-assisted hydrolysis method in water. The effects of tetrabutylammonium hydroxide (TBAOH) dosages, chlorine source, preparation pH value, ultrasonic treatment, and magnetic stirring on the photocatalytic degradation dynamics of carbamazepine were examined under visible-light irradiation to optimize the preparation parameters. …”
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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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Essential infantile esotropia by D.R. Mamulat, I.L. Plisov, N.G. Antsiferova, M.A. Sharokhin, K.A. Belousova, G.V. Gladysheva, V.B. Pushchina

“…Material and methods. To complete the review, a search of literature sources was carried out in the PubMed and Scopus abstract databases for the period up to 2022 inclusive. …”
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Water Level Variation Monitoring in East Lake, Wuhan Based on Satellite Altimetry by LIU Huo-sheng, WANG Hai-hong, YU Qian-hui, LU Liang, QIN Peng-cheng, LIU Yi-bing

“…[Results] (1) Statistical analysis of pulse peakiness and waveform width from the lake surface altimetry echoes revealed that approximately 50% of East Lake’s waveforms exhibited specular reflections with distinct sharp peaks, while about 30% displayed complex shapes containing two or more peaks. (2) The results of accuracy validation using the on-site measured data of water levels showed that the 50% threshold retracking method achieved optimal performance, with a root mean square error (RMSE) of 0.108 m and a correlation coefficient of 0.87. (3) Based on the 50% threshold retracking method, and using Jason-3 data, the water level time series of East Lake from September 2017 to February 2022 was established. …”
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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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Hydrogen fueling station: review of the technological state of hydrogen fuel usage by A. A. Chichirov, R. I. Razakova, F. R. Gainutdinov, D. F. Gainutdinova

“…In the modern world, on the verge of global climate change, the search and implementation of alternative energy sources become particularly significant. Hydrogen energy is one of the most promising directions, offering a revolutionary approach to the decarbonization of various industrial sectors. …”
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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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Tackling Dual Gaps in Remote Sensing Segmentation: Task-Oriented Super-Resolution for Domain Adaptation by Eungi Hong, Jamyoung Koo, Seongmin Pyo, Haechul Choi, Eunkyung Kim, Haneol Jang

“…Our approach aims to adapt a segmentation model trained on high-resolution images from a source domain to perform accurately on low-resolution images from a target domain. …”
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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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A Dual-Branch Network for Intra-Class Diversity Extraction in Panchromatic and Multispectral Classification by Zihan Huang, Pengyu Tian, Hao Zhu, Pute Guo, Xiaotong Li

“…A central innovation of our method lies in introducing a modality-specific intra-class diversity modeling mechanism for the first time in dual-source classification. …”
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Detecting sub-instability before three Mw > 6.0 earthquakes on Chinese mainland in 2020–2022 with load/unload response ratio by Huaizhong Yu, Donghui Jia, Chieh-Hung Chen, Yue Liu, Haitao Wang, Jie Liu, Rui Yan, Binbin Zhao, Jianming Liu, Yuchuan Ma, Guihong Han, Wen Yang, Zhengyi Yuan, Zeping Li

“…We apply the Load/Unload Response Ratio (LURR) method to explore sub-instability in the source media before large earthquakes. …”
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“Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station by Fang WANG, Zhuoqi LI, Haoyi XU, Jiaqi YAN

“…At the settlement scale, the Mask Region-based Convolutional Neural Network (Mask R-CNN) deep learning model is utilized to identify architectural spatial features, categorizing three typical building types: traditional pitched-roof buildings, uniformly planned flat-roof buildings, and color steel plate-modified structures. Through multi-source data fusion (including remote sensing, demographic statistics, and compensation records) and field investigations, the research quantitatively analyzes the “locality – adaptation” reconstruction process of resettlement communities across the three spatial dimensions of living, production, and cultural spaces.Results1) Land cover evolution: Water storage of hydropower station inundates 37.12 km2 of land (including 21.61 km² of high-quality cultivated land), resulting in a loss of 43.68% of settlement production space. 2) Adjustment of architectural space: 65.8% of dwellings in the original villages are traditional timber-earth buildings with a tile roof, which adapt to the climate environment of concentrated rainfall and sufficient sunshine in the Jinsha River Basin. 48.7% of the resettlement sites adopt unified flat roof planning, and 51.3% realize functional optimization through self-construction or renovation, with the average renovation area reaching 230.9 m2. 3) Transformation of livelihood system: The annual compensation mechanism only restores 15.79% of the cultivated land allocation before resettlement, and the proportion of compensation income drops from 82.71% in the initial stage of relocation to 33.15% after long-term resettlement, driving the adjustment of crop structure to high value-added cash crops. 4) Cultural space reconstruction: In the context of the disappearance of traditional water transport functions, the three cultural relics reconstructed in different places show a symbolic turn. …”
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Tuning Up In Vitro Growth and Development of <i>Cannabis sativa</i>: Recent Advances in Micropropagational Approach by S. M. Ahsan, Md. Injamum-Ul-Hoque, Ashim Kumar Das, Shifa Shaffique, Mehedi Hasan, Sang-Mo Kang, In-Jung Lee, Hyong Woo Choi

“…Factors such as sterilization, hormonal balance, explant type, nutrient additives, carbon source, pH, and environment influence the success of cultivar-specific micropropagation. …”
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Static Voltage Stability Evaluation and Correction Strategy Based on Stage Solving Strategy and SIFT by Yan Wen, Xiaoming Liu, Yongzhi Zhou, Huiwen Zhang, Donglei Sun

“…Aiming at the static voltage instability problem of the power grid caused by large-scale access of renewable energy sources, the study adopts the scale invariant feature transform algorithm for boundary feature extraction, while optimizing the traditional generalized resilience index of the power grid. …”
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