A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal by Yunpeng Ge, Kaiyang Ying, Guo Yu, Muhammad Ubaid Ali, Abubakr M. Idris, Abubakr M. Idris, Asfandyar Shahab, Habib Ullah, Habib Ullah

“…The paper emphasizes how ML models—such as Random Forest (RF) and Gradient Boosting Regression (GBR)—elucidate the nonlinear links between pyrolysis conditions (temperature, feedstock composition) and biochar performance. For adsorption, surface area and pore volume are distinctly important; in redox reactions for heavy metal removal, functional groups like C-O and C=O play vital roles. …”
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Optimization of Rate of Penetration and Mechanical Specific Energy Using Response Surface Methodology and Multi-Objective Optimization by Diunay Zuliani Mantegazini, Andreas Nascimento, Mauro Hugo Mathias, Oldrich Joel Romero Guzman, Matthias Reich

“…Thus, the goal of this research was to analyze field data from pre-salt layer operations, using a 2D analysis of parameters as a function of depth, response surface methodology (RSM), and multi-objective optimization. …”
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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

“…The multiple objective function approaches highlight different aspects of model performance, indicating that no single objective function can capture the full complexity of erosion processes. …”
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stGRL: spatial domain identification, denoising, and imputation algorithm for spatial transcriptome data based on multi-task graph contrastive representation learning by Xin Lu, Murong Zhou, Bo Gao, Fang Wang, Shuilin Jin, Qiaoming Liu, Guohua Wang

“…This significantly enhances researchers' understanding of cellular and tissue functions in their spatial context. However, due to current technical limitations, spatial transcriptomics data often exhibit high dropout rates and noise, posing challenges for downstream analysis, like spot clustering, differential gene analysis, and spatial domain identification. …”
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SCUBA implements a storage format-agnostic API for single-cell data access in R [version 2; peer review: 2 approved, 1 approved with reservations] by Krysta L. Engel, Jairav Desai, Austin E. Gillen, William M. Showers, Craig T. Jordan, Clayton Smith

“…SCUBA also implements new data-specific access functions for all supported object types. Performance scales well across all SCUBA-supported formats. …”
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Synthesis of a reversible quantum Vedic multiplier on IBM quantum computers by Mojtaba Noorallahzadeh, Mohammad Mosleh

“…They use quantum algorithms for improved performance and depend on reversible computations based on quantum physics and linear algebra. …”
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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…A key contribution of this study is the evaluation of loss functions, including Binary Cross-Entropy (BCE) Loss, Dice Loss, and Binary Focal Loss. …”
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Optimizing Load Frequency Control of Multi-Area Power Renewable and Thermal Systems Using Advanced Proportional–Integral–Derivative Controllers and Catch Fish Algorithm by Saleh A. Alnefaie, Abdulaziz Alkuhayli, Abdullah M. Al-Shaalan

“…The controllers’ optimal gains are attained through using the integral absolute error (IAE) and ITAE objective functions. The performance of LFC with CFA-tuned PID, PI, cascaded PI(PDN), and FOPID, PI(1+DD) controllers is compared to other optimization techniques, including sine cosine algorithm (SCA), particle swarm optimization (PSO), brown bear algorithm (BBA), and grey wolf optimization (GWO), in a two-area power system combined with RESs under various conditions. …”
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Tracking dustbathing behavior of cage-free laying hens with machine vision technologies by Bidur Paneru, Ramesh Bist, Xiao Yang, Lilong Chai

“…Results indicate that the YOLOv8x-DB model outperform all other models on detecting DB behavior with a precision of 93.4%, recall of 91.20%, and mean average precision (mAP@0.50) of 93.70%. All models performed with over 90% detection precision; however, model performance was affected by equipment like drinking lines, perches, and feeders. …”
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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…Abstract Cognitive fatigue is a psychological condition characterized by opinions of fatigue and weakened cognitive functioning owing to constant stress. Cognitive fatigue is a critical condition that can significantly impair attention and performance, among other cognitive abilities. …”
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The E3 Ligase NEDD4L Prevents Colorectal Cancer Liver Metastasis via Degradation of PRMT5 to Inhibit the AKT/mTOR Signaling Pathway by Zhewen Dong, Xiaofei She, Junxian Ma, Qian Chen, Yaqun Gao, Ruiyan Chen, Huanlong Qin, Bing Shen, Hua Gao

“…Therefore, an shRNA library targeting 156 E3 ubiquitin ligases has been used to perform an in vivo loss‐of‐function screen of a human colorectal cancer cell line in a mouse model of liver metastasis. …”
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Preparation of Ionic Silsesquioxanes with Regular Structures and Their Hybridization by Yoshiro Kaneko, Hisaya Toyodome, Miki Shoiriki, Nobuo Iyi

“…Furthermore, anion-exchange behaviors of the cationic ladder-like PSQ were investigated with various organic and inorganic compounds, such as anionic surfactants, a polymer, and layered clay minerals, to obtain the functional hybrid materials.…”
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Structural, surface, and theoretical investigation of hydrophobic-modified nanodiamond powders by Nazerke Kydyrbay, Mergen Zhazitov, Muhammad Abdullah, Tolagay Duisebayev, Yerbolat Tezekbay, Anuar Aldongarov, Mirat Karibayev, Nurxat Nuraje, Olzat Toktarbaiuly

“…Characterization techniques like Raman spectroscopy, XRD, SEM, FTIR, and water contact angle measurements confirmed the structural integrity and efficient functionalization of the functionalized NDs. …”
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Downhole Coal–Rock Recognition Based on Joint Migration and Enhanced Multidimensional Full-Scale Visual Features by Bin Jiao, Chuanmeng Sun, Sichao Qin, Wenbo Wang, Yu Wang, Zhibo Wu, Yong Li, Dawei Shen

“…The model is structured around an encoder–decoder backbone, enhanced by a full-scale connectivity mechanism, a residual attention block with dilated convolution, Res2Block elements, and a composite loss function. These components collectively support precise pixel-level segmentation of coal–rock imagery. …”
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Procoagulant and Anticoagulant Factors in Childhood Hypothyroidism by Nevin Kilic, Yildiz Dallar, Enver Simsek, Sirma Karamercan, Ayse Esra Tapci, Bulent Alioglu

“…One year after Na-L-thyroxine treatment, the study parameters were reevaluated. Thyroid function tests, procoagulant and anticoagulant proteins were performed for children with hypothyroidism and healthy controls. …”
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ATG7-deficient fibroblast promotes breast cancer progression via exosome-mediated downregulation of SCARB1 by Kangdi Li, Ting Liu, Zhihong Luo, You Yu, Yi Liu, Zhaoqing Zhang, Wenhua Li

“…Abstract Although autophagy-related gene 7 (ATG7) acts as an E1-like activating enzyme and is essential for autophagy, it frequently performs broader roles involved in the modulation of diverse signaling pathways that affect cell proliferation, survival, migration and transformation. …”
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Circadian gene BMAL1 ameliorates renal ischaemia-reperfusion injury in diabetic mice by enhancing mitophagy via the HIF-1/BNIP3 pathway by Xinqi Deng, Yan Leng, Yonghong Xiong, Wenyuan Li, Wu Chen, Yuhang Yang, Bihan Wang, Siyuan Gong, Yunhao Wang, Baichuan Yang, Wei Li

“…Although previous research has suggested that the circadian gene brain and muscle ARNT-like 1 (BMAL1) plays a role in regulating renal function, the exact functions and mechanisms of BMAL1 in diabetic renal I/RI remain elusive. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…The remainder was in the at-risk patient cohort, of which 514 997 patients (12%) were identified as likely to have NASH. Age, obesity, and abnormal liver function tests were the top determinants in assigning NASH probability…”
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Semaglutide combined with empagliflozin vs. monotherapy for non-alcoholic fatty liver disease in type 2 diabetes: Study protocol for a randomized clinical trial. by Yu-Hao Lin, Zhi-Jun Zhang, Jin-Qing Zhong, Zhi-Yi Wang, Yi-Ting Peng, Yan-Mei Lin, Huo-Ping Zhang, Jian-Qing Tian

“…Lifestyle intervention remains a preferred treatment modality for NAFLD. The glucagon-like peptide (GLP-1) receptor agonists and sodium-glucose cotransporter-2 (SGLT-2) inhibitors have been developed as new glucose-lowering drugs, which can improve fatty liver via an insulin-independent glucose-lowering effect. …”
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Design Hybrid Algorithm for Video Encoding by Ghada Tahir Qasim, Toqa Zuhair, Sahar Saleh, Amena Emad

“…The fifth stage is to conduct the process of analyzing the code of the files that has been encrypted in the previous stages as show below: The first stage :using  the style of scrambling by using  a developed style by using a proposed function ,but not by using the style of texts, to ensure speed of performing this method. …”
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