Association between serum creatinine—to—albumin ratio and 28-day mortality in intensive care unit patients following cardiac surgery: analysis of mimic-iv data by Pengtao Shi, Shen Rui, Qingyou Meng

“…Receiver operating characteristic (ROC) curves were used to assess the predictive ability of CAR. Mediation analysis was conducted to investigate the potential mechanism by which CAR affects 28-day ICU mortality. …”
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Association between perchlorate, nitrate, and thiocyanate exposure and kidney stones prevalence in US adults: an analysis based on the national health and nutrition examination sur... by Zhicheng Tang, Xiujun Wu, JiaHao Zhang, Hongzheng Zhong, Xitong Wan, Ting Yan, Zhibiao Li, Zechao Lu, Can Liu, Qingqing Zhi, Zhaohui He, Fucai Tang

“…The analysis found no significant association between urinary perchlorate levels and KSD. …”
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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

“…The proposed models significantly improve the ability to recognize complex patterns and features, achieving high accuracy and robust performance in disease classification. …”
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Establish a simple and quantitative deep learning-based method to analyse complicated intra- and inter-species social interaction behaviour for four stag beetle species by Michael Edbert Suryanto, Petrus Siregar, Tzong-Rong Ger, Chung-Der Hsiao

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Psychological Impact of Distance Learning on Children and Adolescents in Saudi Arabia: A Multi-City Analysis of Behavioral and Mental Health Outcomes During the COVID-19 Pandemic by Samah H. Alkhawashki, Maram H. AlTuwairqi, Ahmad H. Almadani, Afnan A. Almarshedi, Rahaf Alasiri, Noha A. Mobeireek, Mishaal R. Alrashoud, Noura A. Abouammoh, Fatimah S. Alshahrani, Areej A. AlFattani, Shuliweeh Alenezi

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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…The integration of diverse data types—ranging from sequencing and clinical data to proteomic and imaging data—highlighted the complexity and expansive scope of AI applications in these fields. …”
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Who speaks next? Multi-party AI discussion leveraging the systematics of turn-taking in Murder Mystery games by Ryota Nonomura, Hiroki Mori

“…As an evaluation target, we employed the “Murder Mystery” game, a reasoning-type table-top role-playing game that requires complex social reasoning and information manipulation. …”
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Dynamic Energy Sparse Self-Attention Based on Informer for Remaining Useful Life of Rolling Bearings by Cheng Shi, Qifei Li, Hui Chen, Yuanwei Song, Qianqi Le

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Simulation Research of Virtual Synchronous Machine Control System with Harmonic Suppression by CHENG Kun, DING Xiying, GONG Jingying, HAN Yan, LI Xiaodong

“…Virtual synchronous machine control strategy is an effective means to solve the problem of inertia lack in grid connection of new energy source, but oscillation link in control system makes harmonic content of the connection process of distributed power grid higher and the composition more complex. Aiming at the problem of harmonic analysis and suppression of virtual synchronous machine control system, a crossover droop harmonic suppression strategy based on virtual synchronous machine control is presented in this paper. …”
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Using System‐Inspired Metrics to Improve Water Quality Prediction in Stratified Lakes by Kamilla Kurucz, Cayelan C. Carey, Peisheng Huang, Eduardo R. De Sousa, Jeremy T. White, Matthew R. Hipsey

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Determination of Phenylurea Herbicides in Water Samples by Magnet-Integrated Fabric Phase Sorptive Extraction Combined with High Performance Liquid Chromatography by Natalia Manousi, Apostolia Tsiasioti, Abuzar Kabir, Erwin Rosenberg

“…Finally, the developed method was successfully used for the analysis of tap, river, and lake water samples.…”
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A Comparative Study of Two-Stage Intrusion Detection Using Modern Machine Learning Approaches on the CSE-CIC-IDS2018 Dataset by Isuru Udayangani Hewapathirana

“…In contrast, the ASpark approach uses principal component analysis (PCA) to reduce dimensionality and retain 95% of the data variance. …”
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Isolation of a novel manganese-oxidizing bacterium Lysinibacillus xylanilyticus M125: characterization, structural evolution, and Cd-adsorption activity of biogenic Mn oxides produ... by Xiaoju Li, Xinyi Yuan, Yuxia Wei, Lianqi He, Yuanyuan Li, Meiquan Qiu, Yang Liu, Nannan Dong, Chengjia Zhang, Xin Pang, Xin Pang, Xin Pang

“…Therefore, the discovery of novel MOB strains is of great significance for advancing pollution mitigation and ecosystem restoration.MethodsIn this study, a manganese-oxidizing bacterial strain was isolated from Mn-contaminated soil near an electroplating factory using selective LB medium supplemented with 10 mmol/L manganese chloride (MnCl2), and the Leucoberbelin Blue (LBB) assay was employed to screen and identify strains with strong Mn(II)-oxidation ability. The isolated strain was identified based on colony morphology, Gram staining, cellular morphology, physio-biochemical analysis, 16S rRNA sequencing, and phylogenetic analysis. …”
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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

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An Intelligent Method for Day-Ahead Regional Load Demand Forecasting via Machine-Learning Analysis of Energy Consumption Patterns Across Daily, Weekly, and Annual Scales by Monica Borunda, Arturo Ortega Vega, Raul Garduno, Luis Conde, Manuel Adam Medina, Jeannete Ramírez Aparicio, Lorena Magallón Cacho, O. A. Jaramillo

“…Before training, the load dataset is grouped by its statistical seasonality through K-means clustering analysis. Clustering load demand, along with similar-day data management, enables more focused training of the LSTM network on uniform data subsets, enhancing the model’s ability to capture temporal patterns and reducing the complexity associated with high variability in demand data. …”
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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…By combining blockchain’s decentralized storage capabilities with DRL’s dynamic optimization potential, the system demonstrates a scalable and efficient approach for distributed data analysis in complex scenarios.…”
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A New [PMo₁₂O₄₀]³⁻-Based Ni^II Compound: Electrochemical and Photocatalytic Properties for Water Pollutant Removal by Guoqing Lin, Shufeng Liu, Dai Shi, Ying Yang, Fangle Yu, Tong Lu, Xiao-Yang Yu, Yuguang Zhao

“…A polyoxometalate-based metal–organic complex with the ability to treat pollutants in water was obtained under hydrothermal conditions, namely [Ni(H₂L)(HL)₂](PMo₁₂O₄₀)·3H₃O·4H₂O (<b>1</b>) (H₂L = 4,4′-(1H,1′H-[2,2′-biimidazole]-1,1′-diyl)dibenzoicacid). …”
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Meta-analytic insights on cover crop weed suppression in the midsouthern United States by Amar S. Godar, Jason K. Norsworthy

“…Although cover cropping has long been recognized for its potential to suppress weeds, it has recently gained renewed attention as a weed management tool and for its ability to help producers achieve broader goals of soil health and environmental sustainability. …”
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Deep Learning Python-Based Time-Series Model for Oil Palm Yield Prediction by Yuhao Ang, Helmi Zulhaidi Mohd Shafri, Yang Ping Lee, Shahrul Azman Bakar, Haryati Abidin, Mohd Umar Ubaydah Mohd Junaidi, Hwee San Lim, Rosni Abdullah, Yusri Yusup, Syahidah Akmal Muhammad, Teh Sin Yin

“…The superior performance of the Neural Prophet model can be attributed to its ability to capture the complex patterns and nonlinear relationships inherent in the time-series data, owing to the adoption of deep learning principles. …”
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Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

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