The Discriminants of Long and Short Duration Failures in Fulfillment Sortation Equipment: A Machine Learning Approach by Abed Mutemi, Fernando Bacao

“…The gradient boosting classifier (GBC) produces state-of-the-art results in this setting, with precision of 0.76, recall of 0.82, and false positive rate (FPR) of 0.002. …”
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Humic substances influence on the distribution of dissolved iron in seawater: A review of electrochemical methods and other techniques by Su Han

“…It also reviews applications of these methods in examining the effects of HSs on DFe, drawing from spectroscopy, chromatography, and mass spectrometry data. Electrochemical techniques can measure the concentrations of HSs and the binding capacity of DFe, offering valuable insights into the role of HSs on DFe in marine settings. …”
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Multistage Training of Fuzzy Cognitive Maps to Predict Preeclampsia and Fetal Growth Restriction by William Hoyos, Rodrigo Garcia, Jose Aguilar

“…The application of these models in healthcare settings holds promise as a valuable tool for the early detection of PE and FGR, contributing to the reduction of morbidity and mortality rates.…”
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Facial recognition and analysis: A machine learning-based pathway to corporate mental health management by Zicheng Zhang, Tianshu Zhang, Jie Yang

“…This study contributes to advancing corporate mental health management and lays the foundation for scalable emotion-based support systems in organizational settings.…”
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Investigating Similarities Across Decentralized Finance (DeFi) Services by Junliang Luo, Stefan Kitzler, Pietro Saggese

“…Following existing literature, we use Ethereum transaction data to identify the DeFi building blocks. These are sets of protocol-specific smart contracts that, similarly to “financial LEGO bricks”, are utilized in combination within single transactions and encapsulate the logic to conduct specific financial services such as swapping or lending cryptoassets. …”
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Transparent and Robust Artificial Intelligence-Driven Electrocardiogram Model for Left Ventricular Systolic Dysfunction by Min Sung Lee, Jong-Hwan Jang, Sora Kang, Ga In Han, Ah-Hyun Yoo, Yong-Yeon Jo, Jeong Min Son, Joon-myoung Kwon, Sooyeon Lee, Ji Sung Lee, Hak Seung Lee, Kyung-Hee Kim

“…<b>Conclusions:</b> AiTiALVSD’s high diagnostic accuracy, transparency, and resilience to common ECG discrepancies underscore its potential for early LVSD detection in clinical settings. This study highlights the importance of transparency and robustness in AI-ECG, setting a new benchmark in cardiac care.…”
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Innovative Strategies for the Implementation of Sewage Surveillance in Dhaka's Converging Informal Sewage Network by Mr Md Ohedul Islam, Dr. Isobel Blake, Mr Yoann Mira, Dr. Rashidul Haque, Dr. Mami Taniuchi

“…In univariable analyses, total dissolved solids (mg/L), sewage temperature, and the 21-day period following the bOPV campaign showed a positive association with enterovirus detection with a mean pH of 7.2. In the SS for COVID-19, Pearson correlation analysis revealed a strong association between sewage data and geolocated clinical cases (p<0.0001) which indicated that SS acted as an early warning system and tracked SARS-CoV-2 trends 1-2 weeks before community infection waves. …”
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Artificial Proprioceptive Reflex Warning Using EMG in Advanced Driving Assistance System by Muhammad Ishfaq Hussain, Muhammad Aasim Rafique, Joonmo Kim, Moongu Jeon, Witold Pedrycz

“…Furthermore, the study demonstrates efficacy of the proposed idea with experiments designed to classify online and offline EMG data in real-world settings with computation time and the latency of communicated warnings.…”
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Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images by Dylan Russon, Antoine Guennec, Juan Naredo-Turrado, Binbin Xu, Cédric Boussuge, Valérie Battaglia, Benoit Hiron, Emmanuel Lagarde

“…Utilizing ConvNextV2, ResNet50, and ResNext50 models, we conducted a comprehensive analysis of pedestrian crossings across various urban and rural settings in France, focusing on nine identified risk factors.Our methodology incorporates Mask R-CNN for precise segmentation and detection of zebra crossings and roundabouts, overcoming traditional data annotation challenges and extending coverage to underrepresented areas. …”
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Leveraging large language models for automated depression screening. by Bazen Gashaw Teferra, Argyrios Perivolaris, Wei-Ni Hsiang, Christian Kevin Sidharta, Alice Rueda, Karisa Parkington, Yuqi Wu, Achint Soni, Reza Samavi, Rakesh Jetly, Yanbo Zhang, Bo Cao, Sirisha Rambhatla, Sri Krishnan, Venkat Bhat

“…Self-report questionnaires are a common practice in clinical settings to help mitigate the challenges involved in mental health disorder screening. …”
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Investigating the use of ultrasonography for the antenatal diagnosis of structural congenital anomalies in low-income and middle-income countries: systematic review protocol by Stephanie Michele Goley, Sidonie Sakula-Barry, Ann Kelly

“…The methodological quality of the included studies will be evaluated using the Cochrane-approved Risk of Bias for Non-Randomised Studies of Intervention and Risk of Bias in Randomised Trials V.2.0 tools.Ethics and dissemination Ethical approval is not required for conducting the systematic review as there will be no direct collection of data from individuals. The results will be submitted for publication in a scientific journal and presented internationally.Conclusion This is the first study, to our knowledge, to systematically review current literature on the use of antenatal ultrasound for the detection of congenital anomalies in LMICs. …”
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Protection Analysis of a Traveling-Wave, Machine-Learning Protection Scheme for Distributions Systems With Variable Penetration of Solar PV by Miguel Jimenez-Aparicio, Trupal R. Patel, Matthew J. Reno, Javier Hernandez-Alvidrez

“…This work provides a detailed protection analysis of a fast, Traveling-Wave (TW), Machine-Learning (ML), local, non-directional, economic, and setting-less protection scheme. The goal is to provide an objective evaluation of how a data-driven TW protection scheme would perform when deployed on a power distribution system as a faster alternative to over-current (OC) protection. …”
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Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status by Shubhangi Mahato, Hanqing Bi, Suresh Neethirajan, Suresh Neethirajan

“…By integrating animal-centric design with scalable AI, Dairy DigiD represents a significant advancement in automated livestock monitoring-offering an ethical, accurate, and practical alternative to traditional identification methods. The approach sets a precedent for responsible, data-driven decision-making in precision dairy management.…”
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Future research of supply chain resilience: Network perspectives and incorporation of more stakeholders by L. Jeff Hong, Jinzhi Li, Xiaole Wu, Shuyue Yi

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Multidrug-resistant pulmonary tuberculosis in Esmeraldas, Ecuador (2018–2022): prevalence and clinical–epidemiological profile from a retrospective observational study by Jaime Angamarca-Iguago

“… Background: Multidrug-resistant tuberculosis (MDR-TB) remains a growing public health concern globally, particularly in settings with limited diagnostic capacity and high disease burden. …”
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Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…Breast cancer patients could benefit greatly from an automatic diagnosis of metastases in lymph nodes. In clinical settings, where whole-slide images of histological lymph nodes are involved, it is crucial to identify and detect breast cancer metastases. …”
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Effect of diabetes on central macular thickness quantitatively measured using optical coherence tomography at Sidi-Hussein Health Center, Benghazi, Libya by Mervat Omear, Samar Bukhatwa, Fatma Benkhaial

“…Subjects and Methods: The data of 393 (786 eyes) patients with diabetes (type II) were reviewed. …”
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Multi-primer-based environmental DNA survey for vertebrate biodiversity monitoring in protected island wetlands by Gawoo Kim, Yujin Kang, Youngkeun Song

“…Combining eDNA with NRS data increased species richness by 35.3 % in Jangdo Wetland and 10.2 % in Baenanggimill Wetland, demonstrating the efficiency of multi-primer eDNA in rapidly detecting species with minimal intervention. …”
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Development and Optimization of SARS-CoV-2-Specific Primers for Accurate Diagnosis: A Case Study in West Sumatra - Indonesia by Ony Nattasha Aulia, Dwi Hilda Putri, Irvan Faizal

“…Methods: This study used an in silico approach, using whole genome sequencing (WGS) data available at the global initiative on sharing avian influenza data (GISAID), and employing the Geneious Prime application which confirmed samples collected from Padang, West Sumatra, and from Jakarta, Bogor, Depok, Tangerang, Bekasi (Jabodetabek) serving as comparative sample tests. …”
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Analysis of assessments at the Department of Clinical Cancer Genetics by cancer site and the importance of genetic findings in treatment planning by Nina Zavrl, Simona Hotujec, Srdjan Novaković, Stegel Vida, Mateja Krajc

“…Methods: In the Department of Clinical Cancer Genetics, IOL, we performed data analysis using descriptive statistical methods and the Microsoft Excel tool. …”
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