Informing grassland ecosystem modeling with in-situ and remote sensing observations by Johny Arteaga, Melannie D Hartman, William J Parton, Maosi Chen, Wei Gao

“…We determined that a modified RAP ANPP calculation that incorporated total annual precipitation instead of mean annual temperature to estimate the fraction of total productivity allocated to roots improved temporal correlations between RAP and field measurements and between RAP and DayCent-UV, We found that RAP provides a valuable data set for evaluating grassland ANPP predictions from ecosystem and other types of models because it provides estimates of grassland plant productivity over large spatial regions and a long historical period and captures temporal variablilty in plant production. …”
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Automated on-site broiler live weight estimation through YOLO-based segmentation by Mahmoud Y. Shams, Wael M. Elmessery, Awad Ali Tayoush Oraiath, Ahmed Elbeltagi, Ali Salem, Pankaj Kumar, Tamer M. El-Messery, Tarek Abd El-Hafeez, Mohamed F. Abdelshafie, Gomaa G. Abd El-Wahhab, Ibrahim S. El-Soaly, Abdallah Elshawadfy Elwakeel

“…Traditional weighing methods, which use electronic platform weighers, can stress broilers and may not capture accurate weight data, particularly heavy broilers. …”
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Optical-electrical-acoustic wave multiparameter response characteristics of typical rocks in coal-bearing strata throughout the loading process by Pingsong ZHANG, Chang LIU

“…Objective The deformations and rupture of rocks under loading will cause potential changes in parameters. Dynamic parameter capture assists in characterizing the generation, propagation, and closure processes of fractures, serving as a significant method for assessing rock quality. …”
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Application of deep learning models on single-cell RNA sequencing analysis uncovers novel markers of double negative T cells by Tian Xu, Qin Xu, Ran Lu, David N. Oakland, Song Li, Liwu Li, Christopher M. Reilly, Xin M. Luo

“…However, advanced deep learning models such as Single Cell Variational Inference (scVI) have the capability to capture nonlinear gene expression patterns in the sequencing data. …”
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Advancing the Indian cattle pangenome: characterizing non-reference sequences in Bos indicus by Sarwar Azam, Abhisek Sahu, Naveen Kumar Pandey, Mahesh Neupane, Curtis P Van Tassell, Benjamin D Rosen, Ravi Kumar Gandham, Subha Narayan Rath, Subeer S Majumdar

“…This rich genetic diversity underscores the inadequacy of a single reference genome to fully capture the genomic landscape of Indian cattle. To comprehensively characterize the genomic variation within Bos indicus and, specifically, dairy breeds, we aim to identify non-reference sequences and construct a comprehensive pangenome. …”
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Ecological risk assessment of marine resources caught as bycatch in industrial bottom trawl shrimp fishery in the Amazon Continental Shelf by Ualerson I. Peixoto, Ualerson I. Peixoto, Ualerson I. Peixoto, Miriana Sporcic, Alistair J. Hobday, Bianca Bentes, Bianca Bentes, Rafaela Passarone, Flavia Lucena Fredou, Victoria Judith Isaac, Victoria Judith Isaac

“…The SICA identified that the main risk was related to fishing capture activities, potentially impacting the species’ population size. …”
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Intraprosthetic Dislocation Following Dual Mobility Total Hip Arthroplasty: A Retrieval Analysis Study by Salar Sobhi, BSc, MD, Alan Kop, MSc, PhD, Moreica Pabbruwe, PhD, Christopher W. Jones, BCom, BEng(Hons), MBBS(Hons), PhD, FRACS, FAOrthA, Michael A. Finsterwald, MD, FMH, FRACS, FAOrthA

“…In older designs, IPD occurred due to a small head size and late PE wear with head-capture-mechanism failure. Routine retrieval analysis identified concerns regarding IPD of modern implants, and scant reporting in the literature led to this retrospective study. …”
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Accelerated dynamic light sheet microscopy: unifying time-varying patterned illumination and low-rank and sparsity constrained reconstruction by Marco Tobia Vitali, Alessia Candeo, Andrea Farina, Paolo Pozzi, Alessia Brix, Andrea Bassi, Teresa M Correia

“…However, its temporal resolution is constrained by the sequential acquisition of individual two-dimensional planes at varying depths, making it challenging to capture rapid dynamics such as the beating of a zebrafish heart. …”
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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

“…Next, the ECMVFD-FTLTDO technique employs a fusion-based transfer learning (TL) process comprising three models: ResNet50, MobileNetV3, and EfficientNetB7 to capture diverse spatial features across various scales, thereby enhancing the capability of the model to distinguish authentic content from tampered regions. …”
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Beyond borders: investigating the impact of the 2023 conflict in Gaza on generalized anxiety disorders and associated somatic symptoms and wellbeing among the Kuwait population: a... by Musaed Z. Alnaser, Hamad Alhamad, Naser Alotaibi, Nadia Alhamdan, Fahad Manee

“…Spearman’s correlation and chi-squared tests were used to determine the relationships between anxiety, somatic symptoms, and wellbeing, and to capture the instigating factors.ResultsThis study included 1979 participants living in Kuwait during the Gaza conflict period. …”
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Using a co-design approach to develop a Preventative Online Mental Health Program for Youth (POMHPY): a quality improvement project by Elnaz Moghimi, Kimberly Belfry, Sarah Farr, Shavon Stafford, Arina Bogdan, Megan Brush, Christopher Canning, Soyeon Kim

“…Focus groups expanded on the survey findings and provided an in-depth understanding of youth preferences for program delivery. CRG meetings captured community insights on program refinements to better meet the needs of youth. …”
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Lifespan trajectories of motor control and neural oscillations: A systematic review of magnetoencephalography insights by Xinbi Zhang, Mingming Huang, Xiaoxia Yuan, Xiaoke Zhong, Shengyu Dai, Yingying Wang, Qiang Zhang, Kanya Wongwitwichote, Changhao Jiang

“…Overall, MEG proves valuable for capturing neural dynamics underlying the development and decline of motor control across the lifespan. …”
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Histological chorioamnionitis and its predictors among mothers with premature rupture of membranes delivering at tertiary hospitals in Uganda: a multicenter cross-sectional study by Ibrahim Abdi Abdinasir, Marie Pascaline Sabine Ishimwe, Maxwell Okello, Paul Byaruhanga, Ralph Samson Enyamitoit, Theoneste Hakizimana

“…Data were collected using a structured questionnaire that captured routine history-taking and physical examinations. …”
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Sistem Isyarat Bahasa Indonesia (SIBI) Metode Convolutional Neural Network Sequential secara Real Time by Oky Dwi Nurhayati, Dania Eridani, Muhammad Hafiz Tsalavin

“…Dalam penelitian ini, gambar isyarat tangan di capture menggunakan webcam kemudian dilakukan pre-processing dengan mengubah gambar ke dalam bentuk HSV. …”
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Instruments for assessing patient-reported experience measures among patients with diabetes mellitus: a scoping review by Soe Sandi Tint, Myo Zin Oo, Nida Buawangpong, Wichuda Jiraporncharoen, Nutchar Wiwatkunupakarn, Kittipan Rerkasem, Kanokwan Kulprachakarn, Hataichanok Chuljerm, Timothy E. O’Brien, Rohini Mathur, Chaisiri Angkurawaranon

“…Five core domains are proposed across different settings, with an emphasis on culturally adapted measures to enhance the accuracy of patient experience capture in diverse populations.…”
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GR-Athena++: General-relativistic Magnetohydrodynamics Simulations of Neutron Star Spacetimes by William Cook, Boris Daszuta, Jacob Fields, Peter Hammond, Simone Albanesi, Francesco Zappa, Sebastiano Bernuzzi, David Radice

“…We consider benchmark problems for isolated and binary neutron star spacetimes demonstrating stable and convergent results at relatively low resolutions and without grid symmetries imposed. The code correctly captures magnetic field instabilities in nonrotating stars with total relative violation of the divergence-free constraint of 10 ^−16 . …”
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Knowledge, attitudes and practices to hepatitis B among South African primary healthcare staff by Atlegang Mashilo, Itumeleng Mompati, Refilwe Ramakatane, Didintle Sebitloane, Naledi Sibi, Philippa C. Matthews, Cornel Van Rooyen, Dominique Goedhals, Sabeehah Vawda

“…Methods: Data were collected via anonymous, self-applied, 28-question-questionnaires in English. Data were captured on a Microsoft Excel spreadsheet and analysed by a biostatistician, using Statistical Analyses Software (SAS 9.4). …”
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Early Outcomes With Cerebral Embolic Protection During Transcatheter Aortic Valve Replacement in Patients With Atrial Fibrillation by Shashank Shekhar, MD, Amar Krishnaswamy, MD, Grant Reed, MD, MSc, James Yun, MD, Rishi Puri, MD, PhD, Samir Kapadia, MD

“…In anatomically eligible patients, the potential benefit of debris capture may be considered especially as younger and lower risk patients become eligible for TAVR. …”
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Retrieval of Land Surface Temperature From Passive Microwave Observations Using CatBoost-Based Adaptive Feature Selection by Yang Dai, Yingbao Yang, Xin Pan, Penghua Hu, Xiangjin Meng, Fanggang Li, Zhenwei Wang

“…Passive microwave (PMW) remote sensing is increasingly employed for generating seamless all-weather land surface temperature (LST) data due to its ability to penetrate cloud cover and capture the actual surface conditions underneath. …”
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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

“…We utilized a diverse dataset comprising 10 different classes of fracture types captured in X-Ray images. This paper makes a comparison of different machine learning models on classifying bone fractures: VGG-16, VGG-16 with Random Forest, ResNet-50 with Support Vector Machine, and EfficientNetB0 with XGBoost. …”
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