Improved estimation of non-photosynthetic vegetation cover using a novel multispectral slope difference index with soil information, Sentinel-1 data, and machine learning by Xinmeng Chen, Yanling Ding, Xingming Zheng, Chi Xu, Zhuo Wu, Qiaoyun Xie

“…Additionally, we investigate the integration of soil information and radar data to improve the FNPV estimation using three machine learning algorithms. Validation against in situ measurements reveals that the NSSDI from S2 is more sensitive to FNPV than the recently published NPV–soil separation index (NSSI), whereas the NSSDI from L8 outperforms traditional NPVIs. …”
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Designing a Multi-Objective Stable Mathematical Model for Routing Municipal Waste Collection Vehicles by Afrouz Rahmandoust, Ashkan Hafezalkotob, Bijan Rahmani Parchikolaei, َAmir Azizi

“…Multi-objective meta-heuristic algorithms were applied to solve the model in scenarios with larger dimensions. …”
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Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study by Haeun Lee, Seok Kim, Hui-Woun Moon, Ho-Young Lee, Kwangsoo Kim, Se Young Jung, Sooyoung Yoo

“…The prediction models were developed using 6 ML algorithms, with the training and test set split in a 7:3 ratio. …”
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A class imbalance aware hybrid model for accurate rice variety classification by Hanumesh Vaidya, K.V. Prasad, C. Rajashekhar, D Tripathi, Renuka S, Jyoti Shetty, Kumar Swamy, Shobha Y

“…These sophisticated algorithms excel in processing extensive datasets, leveraging key characteristics such as grain size, color, and texture to make precise predictions. …”
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Development of a novel disulfidptosis-correlated m6A/m1A/m5C/m7G gene signature to predict prognosis and therapeutic response for lung adenocarcinoma patients by integrated machine... by Bilin Xu, Liangyu Zhang, Lijie Lin, Yanfeng Lin, Fancai Lai

“…A novel disulfidptosis-correlated m6A/m1A/m5C/m7G riskscore was computed using integrated machine-learning algorithms. Transcriptomic data from TCGA and GEO databases were downloaded analyzed. …”
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Using Video Cameras to Assess Physical Activity and Other Well-Being Behaviors in Urban Environments: Feasibility, Reliability, and Participant Reactivity Studies by Jack S Benton, James Evans, Jamie Anderson, David P French

“…It also provides a rigorous foundation for developing more scalable automated computer vision algorithms for assessing human behaviors.…”
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Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh by Ashikur Rahman, Md. Habibur Rahman

“…The Chi-square test and recursive feature elimination (RFE) are used to find the relevant risk factors of child mortality among the number of factors. Six ML-based algorithms were implemented for predicting child mortality, such as Naïve Bayes, Classification and Regression Trees, Random Forest, C5.0 Classification, Gradient Boosting Machine, and Logistic Regression. …”
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Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes by Guillermo Umpierrez, Vernon M Chinchilli, Erik B Lehman, Ariana Pichardo-Lowden, Matthew D Bolton, Christopher J DeFlitch, Paul M Haidet

“…We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations.Research design and methods The tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.88 mmol/L (250 mg/dL) at least once or BG ≥10.0 mmol/L (180 mg/dL) at least twice, respectively; (2) recurrent hyperglycemia in patients with stress hyperglycemia: BG ≥10.0 mmol/L (180 mg/dL) at least twice; (3) impending or established hypoglycemia: BG 3.9–4.4 mmol/L (70–80 mg/dL) or ≤3.9 mmol/L (70 mg/dL); and (4) inappropriate sliding scale insulin (SSI) monotherapy in recurrent hyperglycemia, or anytime in patients with type 1 diabetes. …”
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Multimodal Endoscopic Management of Fistula after Sleeve Gastrectomy Involving a Novel Esophageal Stent by Claudia Fortunato, Carlos Noronha Ferreira, Miguel Moura, Amélia Almeida, Rui Tato Marinho, Luís Correia

“…Despite the absence of an algorithmic endoscopic approach, a primarily endoscopic management of fistulas after LSG is now standard of care in most institutions. …”
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Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition by Nguyen Anh Tu, Nartay Aikyn, Nursultan Makhanov, Assanali Abu, Kok-Seng Wong, Min-Ho Lee

“…Additionally, we explore three meta-learning paradigms and three FL algorithms to investigate their effectiveness and suggest the optimal choices for performance improvement. …”
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Remote sensing reveals the role of forage quality and quantity for summer habitat use in red deer by Thomas Rempfler, Christian Rossi, Jan Schweizer, Wibke Peters, Claudio Signer, Flurin Filli, Hannes Jenny, Klaus Hackländer, Sven Buchmann, Pia Anderwald

“…In particular, our approach employed random forest regression algorithms, integrating various remote sensing variables such as reflectance values, vegetation indices and optical traits derived from a radiative transfer model. …”
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Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures by Antonio Sabbatella, Andrea Ponti, Antonio Candelieri, Francesco Archetti

“…Examples are ubiquitous, from protein engineering or material science to tuning machine learning algorithms, where one could use a subset of the full training set or even a smaller related dataset. …”
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Short communication: Do veterinary diagnoses coming from electronic recording system of veterinary treatments have the potential to be used for breeding in small populations? The c... by T. Zanon, A. Oian, R. Mantovani, M. Gauly

“…After data editing and model development, heritability estimates were obtained for each pathology using univariate linear animal models and gibbs sampling algorithms. Results indicate that mammary pathologies affected the highest number of cows (11%), followed by respiratory (4%) and urogenital (5%) pathologies. …”
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Widespread use of ChatGPT and other Artificial Intelligence tools among medical students in Uganda: A cross-sectional study. by Elizabeth Ajalo, David Mukunya, Ritah Nantale, Frank Kayemba, Kennedy Pangholi, Jonathan Babuya, Suzan Langoya Akuu, Amelia Margaret Namiiro, Yakobo Baddokwaya Nsubuga, Joseph Luwaga Mpagi, Milton W Musaba, Faith Oguttu, Job Kuteesa, Aloysius Gonzaga Mubuuke, Ian Guyton Munabi, Sarah Kiguli

“…<h4>Background</h4>Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. …”
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Energy-Efficient Recessed-Source/Drain SOI Feedback FET-Based Oscillators and Coupled Networks for Neuromorphic Computing by Sasi Kiran Suddarsi, Dhanaraj Kakkanattu Jagalchandran, Gopi Krishna Saramekala

“…Due to the controlled oscillations of a coupled network, our proposed Re-S/D SOI FBFET oscillator presents a promising avenue for efficiently implementing neuromorphic computing algorithms.…”
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Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India by Satiprasad Sahoo, Chiranjit Singha, Ajit Govind

“…Finally, machine learning algorithms were used to identify rice yield gaps to achieve sustainable agricultural intensification. …”
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Genetic Biomarkers and Circulating White Blood Cells in Osteoarthritis: A Bioinformatics and Mendelian Randomization Analysis by Yimin Pan, Xiaoshun Sun, Jun Tan, Chao Deng, Changwu Wu, Georg Osterhoff, Nikolas Schopow

“…The bioinformatics methods utilized include the Limma package, WGCNA, PPI network analysis, and machine learning algorithms. Genetic variants were used as instrumental variables to evaluate the potential causal impact of circulating white blood cell (WBC) counts on OA. …”
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The Mechanism by Which Hedgehog Interacting Protein (HHIP) in Cancer-Associated Fibroblasts Regulate the Secretion of Inflammatory Factors Through the JAK1/STAT3 Pathway Affecting... by Wo Q, Shi L, Shi J, Mao Y, Xie L

“…These datasets were subsequently analyzed using single-cell analysis, difference analysis, WGCNA, and machine learning algorithms. WB was performed to detect the expression of Hedgehog interacting protein (HHIP), JAK1/STAT3 pathway-related protein, CD133 and CD44. …”
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Methylophiopogonanone A Inhibits Ferroptosis in H9c2 Cells: An Experimental and Molecular Simulation Study by Yanqing Wang, Xi Zhao, Ban Chen, Shaoman Chen, Yongbai Liang, Dongfeng Chen, Xican Li

“…Two molecular simulation methods or algorithms suggested that MOA possessed similar binding affinity and binding free energy (∆G_bind) to Fer-1. …”
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A DC-UNet-based image processing method for detecting fractures along roadway sections of coal mines by Zheng DONG, Xuhui ZHANG, Wenjuan YANG, Le KANG, Duwei TANG, Chenhui TIAN

“…Finally, the proposed method was compared with existing image processing algorithms, and the results were validated by importing the DC-UNet model into mobile terminal devices. …”
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