A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

“…The World Health Organisation reported that in 2022, 1.3 million people died from tuberculosis, with the death rate potentially reaching 66% if proper treatment isn’t provided. …”
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Composite microbeads of cellulose acetate upcycled from waste for water remediation by Lorenzo Antonelli, Susanna Grasso, Massimo Giuseppe De Cesaris, Nina Felli, Chiara Dal Bosco, Stefano Cinti, Alessandra Gentili

“…An experimental 2³ factorial design was performed to define the best operational conditions of the instrumental setup, defining the flow rate, amount and chemical nature of the packed microbeads. …”
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Investigation of farmers’ awareness of water conservation and its determinants in arid regions: A case study of the Turpan-Hami Basin by Dongping Guo, Abdugheni Abliz, Yue Kong, Jialin Li, Xianhe Liu, Buasi Nurahmat

“…The results revealed that: (1) From 2005 to 2024, the water conservation rate in the Turpan–Hami Basin showed a fluctuating upward trend, surpassing 80 %, yet significant regional disparities in farmers’ water conservation awareness remained; (2) Areas with low levels of awareness were spatially associated with regions of low satisfaction with conservation outcomes and high levels of farmland investment. …”
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Direct scribing of metal microgratings using sawtoothed cemented carbide tools with Johnson-Cook model-based plastic deformation simulation by Minwook Kim, Dae Bo Sim, Yong Tae Kim, Bo Hyun Kim, Jong G. Ok

“…The process achieves a material removal rate of ∼36.4 mm3/min while maintaining groove-to-groove repeatability within ±8 % and limiting tool wear to less than 6 µm after ∼1.2 m of scribing. …”
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…In addition to fine-tuning input dimensionality, F-test feature selection increases learning efficiency.ResultsThrough the integration of feature importance analysis and conventional performance measures, this study presents valuable insights into the discriminative neurophysiological patterns associated with Schizophrenia, advancing both diagnostic and neuroscientific expertise. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…Concurrently, variational mode decomposition (VMD) provides frequency-domain decomposition capability, while the gated recurrent unit (GRU) captures long-term dependencies. …”
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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…This study evaluates multiple ML models, including logistic regression, random forest, and LightGBM, alongside DL architectures such as ALBERT and Gated Recurrent Units (GRUs), for both binary and multi-class classification of mental health conditions. …”
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Trypanosoma dionisii in China: ecology and tentative epidemiology by Qin Liu, Mu-xin Chen, Yu-chun Cai, Yuan-yuan Li, Zi-yi Wang, Yun-hai Guo, Yu-wan Hao, Jing-bo Xue, Yi-dan Jing, Fan-na Wei, Yong-bin Wang, Yue-jin Li, Hai-fang Wang, Jun-ling Sun, Ya-li Wang, Gang Wang, Na Wang, Nai-li Guo, Jian-cun Fang, Wei-xiao Chen, Xun-ming Zhou, Yang Yu, Yi Zhang, Jun-hu Chen, Qiang Wang, Shi-zhu Li, Ge Yan, Qun Li

“…Although no evidence of a high risk for human epidemic was found, the widespread presence of this parasites in bat species and a relatively high infection rate observed in the surveyed cats and dogs emphasize the emerging threat it poses to human health. …”
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Neural signatures underlying the effect of social structure on empathy and altruistic behaviors by Xia Tian, Zixin Zheng, Renhui Li, Yue-Jia Luo, Chunliang Feng

“…Afterwards, participants rated the pain experienced by these innocents and shared money with other innocents. …”
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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. In addition, an ensemble of classification processes, such as bidirectional gated recurrent unit (BiGRU), Variational Autoencoder (VAE), and bidirectional long short-term memory (BiLSTM) technique, is employed. …”
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Wind Speed Forecasting in the Greek Seas Using Hybrid Artificial Neural Networks by Lateef Adesola Afolabi, Takvor Soukissian, Diego Vicinanza, Pasquale Contestabile

“…Of all the ANNs examined, the hybrid model combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks demonstrated superior forecasting performance compared to the individual models, as evaluated by standard statistical metrics, while it also exhibited a very good performance at high wind speeds, i.e., greater than 15 m/s. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…DL models utilize complex algorithms to identify patterns that may be difficult to observe with traditional physics-based models, specifically where the underlying physics is complex or poorly understood or where the available physical model is too simple. …”
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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

“…Our analysis of routing activation patterns reveals that MoL-MoE dynamically adjusts its use of different molecular representations based on task-specific requirements. …”
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Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

“…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…This study presents a deep learning-based approach for forecasting Sentinel-1 displacement time series, with particular attention to irregular temporal patterns—an aspect often overlooked in previous works. …”
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Taxonomic Profile of Cultivable Microbiota from Adult Sheep Follicular Fluid and Its Effects on In Vitro Development of Prepubertal Lamb Oocytes by Slavcho Mrenoshki, Letizia Temerario, Antonella Mastrorocco, Grazia Visci, Elisabetta Notario, Marinella Marzano, Nicola Antonio Martino, Daniela Mrenoshki, Giovanni Michele Lacalandra, Graziano Pesole, Maria Elena Dell’Aquila

“…As long-term effects, one of them reduced the total cleavage rate after in vitro embryo culture (IVC). In conclusion, microbiota/bacteria are present in adult sheep FF and may influence reproductive outcomes in vitro. …”
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Effect of Different Commercial Fertilizers, Harvest Date, and Storage Time on Two Organically Grown Blackberry Cultivars: Physicochemical Properties, Antioxidant Properties, and Su... by George Cavender, Mingyang Liu, Javier Fernandez-Salvador, Deborah Hobbs, Bernadine Strik, Balz Frei, Yanyun Zhao

“…In this study, “Obsidian” and “Triple Crown” blackberries (both Rubus hybrids) were cultivated organically and fertilized with either soy meal, fish emulsion/hydrolysate blend, or processed poultry litter fertilizers at a fixed rate. Fruits were hand-harvested three times during their peak production period and stored at 4°C and 85% RH for up to 12 d. …”
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RETRACTED ARTICLE: Comprehensive investigations of mixed convection of Fe–ethylene-glycol nanofluid inside an enclosure with different obstacles using lattice Boltzmann method by Chenqi Fu, Amin Rahmani, Wanich Suksatan, S. M. Alizadeh, Majid Zarringhalam, Supat Chupradit, Davood Toghraie

“…Consequently, in each state where a better flow mixture and lower depreciation of fluid velocity components, due to the penetration of lid movement and buoyancy force, occurs higher heat transfer rate is accomplished. Furthermore, it is shown that when Ri = 0.1, the effect of cavity angle is more important but when Ri = 10, the effect of the position of obstacle is more visible.…”
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Dynamic relationship among China's economic development, food safety and health production from a global perspective by Minjie Teng, Minjie Teng, Hua Wei, Hua Wei, Qunshan Tao, Qunshan Tao

“…Such a model is essential to gain deeper insights into the complex interplay among economic development, food safety, and health production.MethodsUsing panel data from 30 provinces in China (2017–2020), we integrated economic development, food safety, and health production into a unified efficiency assessment framework.ResultsOur findings reveal that China's overall efficiency is low (0.504), with significant regional heterogeneity, presenting a pattern of high in the east and low in the west; the efficiency of economic development (0.288) significantly lags behind the efficiency of health production (0.694); and the efficiency of food safety risk control is weak (the efficiency of food inspection failure rate, the number of foodborne illness incidents and patients are 0.694, 0.368, and 0.428, respectively).DiscussionThe DNSBM model breaks through the limitations of traditional static analysis and provides a dynamic assessment tool for emerging economies to reconcile the contradiction of “economic growth resource consumption public health”. …”
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