Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. 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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KANDiff: Kolmogorov–Arnold Network and Diffusion Model-Based Network for Hyperspectral and Multispectral Image Fusion by Wei Li, Lu Li, Man Peng, Ran Tao

“…This work introduces an effective solution for addressing the challenges posed by missing high-resolution hyperspectral images (HRHS) data, which is essential for tasks including landing site selection and resource exploration within the realm of deep space exploration.…”
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Evaluation of cubic voxel effects on dose calculation for Iridium-192 high dose rate using TOPAS particle simulation by Yacine El Attaoui, Zouhair Airouss, Aziz Oustous, Lhoucine Oufni

“…Radial function analysis showed consistent results, with 0.5 mm³ voxels deviating up to 1.78% near the source and 7% at greater distances. …”
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Assembly and comparative analysis of the complete mitochondrial of Spodiopogon sagittifolius, an endemic and protective species from Yunnan, China by Chao Xu, Wei Bi, Ren-yi Ma, Pin-rong Li, Feng Liu, Zhen-wen Liu

“…Synteny and dN/dS analyses revealed structural and functional conservation of mitochondrial genomes in closely related species, with most protein-coding genes under purifying selection (dN/dS < 1). …”
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Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring by Rui Zhu, Enting Zhao, Chunhe Hu, Jiangjian Xie, Junguo Zhang, Huijian Hu

“…By integrating K-means clustering for sample selection and a triplet loss function for model optimization, the approach effectively distinguishes subtle feature differences in false-triggered images. …”
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Activity tracking devices in pregnancy: Understanding the participant experience in a longitudinal birth cohort by Ashley Redding, Dionne Coates, Andrea E. Cassidy-Bushrow, Jennifer K. Straughen, Sara Santarossa

“…REACH-Fitbit participants had to be <20 weeks gestation with access to a Bluetooth-enabled device. Recruitment (self-selection) for focus groups occurred from completed REACH-Fitbit participants (e.g., delivered their baby). …”
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Complete sequencing of the mitochondrial genome of tea plant Camellia sinensis cv. ‘Baihaozao’: multichromosomal structure, phylogenetic relationships, and adaptive evolutionary an... by Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zixu Wang, Zixu Wang, Zixu Wang, Zixu Wang, Wei Zhou, Wei Zhou, Wei Zhou, Wei Zhou, Sijie Liu, Sijie Liu, Sijie Liu, Sijie Liu, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yihui Gong, Yihui Gong, Yihui Gong, Yihui Gong

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Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration by Pieter Reumers, Geert Degrande, Geert Lombaert, David J. Thompson, Evangelos Ntotsios, Pascal Bouvet, Brice Nélain, Andreas Nuber

“…The user can select soil impedance and transfer functions from a database, pre-computed for a wide range of parameters with state-of-the-art models. …”
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Trust and AI weight: human-AI collaboration in organizational management decision-making by Yanjun Wen, Jiale Wang, Xiaoxi Chen

“…Study 2 surveyed 210 managers using employee performance evaluation tasks.ResultsThe results of Study 1 indicated that trust in AI enhances the decisional weight attributed to AI agents, and willingness to collaborate with AI mediates trust in AI and the weight of AI in personnel selection. The findings of Study 2 revealed that the perceived free will of AI agents negatively moderates the relationship between trust in AI and willing to collaborate with AI, such that the relationship is weaker when individuals perceive a higher degree of free will in AI agents than a lower degree.DiscussionTheoretically, this paper advances the understanding of the function of trust in human-AI interaction by exploring the trust development from attitude to act in human-AI cooperative decision-making. …”
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Utilising machine learning classification models for meteorological drought monitoring and analysis by Iqra Mumtaz, Rizwan Niaz, Zamama Sajid, Abdu Qaid Alameri, Zulfiqar Ali, Khaled A. Gepreel

“…These findings highlight the superior performance of SVM in drought prediction and emphasise the importance of model selection and data preprocessing in enhancing drought monitoring for improved water resource management and climate adaptation strategies.…”
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Physarum-inspired multi-parameter adaptive routing protocol for coal mine hybrid wireless mesh networks by Guangzhi Han, Haifeng Jiang, Liansheng Lu, Shanshan Ma, Shuo Xiao

“…Mesh clients with application service and routing function in hybrid wireless mesh networks can form a highly robust hybrid network with mesh routers. …”
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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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A framework for personal protective equipment use in laboratories: regulatory compliance and employee protection by Segaran P. Pillai, Sarah Bradberry, Marisa Newcomer, Tanya Pittas, Kelsey Mathern

“…The Occupational Safety and Health Administration (OSHA) Personal Protective Equipment (PPE) Standard, outlined in 29 CFR 1910 Subpart I states that Protective gear - including personal protective clothing, respiratory equipment, and barriers or shields- must be supplied, properly used, and kept clean and functional whenever there are hazards present. These hazards may arise from processes, environmental conditions, chemicals, radiation, or mechanical sources that could potentially cause injury or harm bodily functions through skin contact, inhalation, or absorption. …”
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YAREN: Humanoid Torso Robot Platform for Research, Social Interaction, and Educational Applications by Daniela Sanchez-Orozco, Rhandall Valdez, Yandri Uchuari, Marcelo Fajardo-Pruna, Luis Cavazos Quero, Redhwan Algabri, Emiliano Quinones Yumbla, Francisco Yumbla

“…Relatively low-cost components were selected to provide a high-quality product that remains accessible to multiple laboratories, even in resource-limited contexts. …”
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The interplay between antimicrobial resistance, heavy metal pollution, and the role of microplastics by Igori Balta, Joanne Lemon, Anna Gadaj, Iuliana Cretescu, Ducu Stef, Ioan Pet, Lavinia Stef, David McCleery, Alastair Douglas, Nicolae Corcionivoschi, Nicolae Corcionivoschi

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Effects of Baduanjin exercise on cognitive impairment in older adults: a systematic review and meta-analysis by Xiao-Gang Gong, Le-Peng Wang, Ling-Ling Yang, Feng Liu, Dao-Ning Zhang, A-Yuan Zhang, A-Yuan Zhang

“…Seven RCTs involving 539 community-dwelling older adults met the inclusion criteria.ResultsBaduanjin exercise significantly improved global cognitive function [mean difference (MD) = 2.15; 95% CI, 1.53 to 2.76; p &lt; 0.00001], memory (standardized mean difference = 0.59; 95% CI, 0.38 to 0.80; p &lt; 0.00001), executive function (SMD = 0.26; 95% CI, 0.07 to 0.44; p = 0.007), and physical health (MD = −0.86; 95% CI, −0.26 to −0.46; p &lt; 0.00001). …”
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METABOLITE PROFILING OF MORINGA USING PY-GCMS AND TOLERANCE EVALUATION TO ALUMINUM ON IN VITRO CULTURE by Rudiyanto, Agus Purwito Purwito, Darda Efendi, Andri Martin

“…ABSTRACT Moringa oleifera Linn. has received substantial scientific interest due to its numerous bioactive compounds and its function as a nutritional resource. The absorption of aluminum by plants hinders several metabolic and physiological processes, leading to inhibited plant development and decreased agricultural output. …”
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Comparison of Language Models in Skills Extraction From Vacancies and Resumes by Lyubov Komarova, Vladimir Soloviev, Alexey Kolosov

“…The result of the study is the selection of the best model and the derivation of functions from the summary text, as well as a comparison of the two sets of functions with each other. …”
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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…Intervention functions were designed using the Behavior Change Wheel, and behavior change techniques were selected for the DHI features. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…By adjusting model parameters, the foraging paths of slime molds in the designed site are simulated, and their spatial function distribution is analyzed. The simulation environment is based on multi-source data analysis and involves setting particle growth points, food locations, and environmental obstacles. …”
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