Evaluation of potential productivity in coniferous forests by integrating field data and aerial laser scanning in Hidalgo, México by Rodrigo Ramos-Madrigal, Héctor M. de los Santos-Posadas, José René Valdez-Lazalde, Efraín Velasco-Bautista, Gregorio Ángeles-Pérez, Alma Delia Ortiz-Reyes

“…The integration of both models into a Geographic Information System (GIS) allowed the spatially explicit construction of an accurate mosaic of the DH and site index to classify stand productivity in the study area. Research highlights: Of the total area managed for timber purposes, 87% is classified as a heigh (≥31 m) and average (26 m) site index, while areas dedicated to conservation contain 13% of the area classified with low site index (≤21 m). …”
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Mitigation of image distortion during mechanical testing within a dynamic stereo x-ray system by David N. Paglia, John M. Chomack, David V. Herlihy, Charlene Wetterstrand, Yazan Kadkoy, Roman Duchnycz, Patrick Kelly, J. Patrick O’Connor, Susan E. D’Andrea, Jason T. Maikos

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Robotic Versus Open Pancreatoduodenectomy With Vein Resection and Reconstruction: A Propensity Score-Matched Analysis by Niccolò Napoli, MD, PhD, FEBS, Emanuele Federico Kauffmann, MD, PhD, FEBS, Michael Ginesini, MD, Armando Di Dato, MD, Virginia Viti, MD, Cesare Gianfaldoni, MD, Lucrezia Lami, MD, Carla Cappelli, MD, Maria Isabella Rotondo, MD, Daniela Campani, MD, Gabriella Amorese, MD, Caterina Vivaldi, MD, Silvia Cesario, MD, Laura Bernardini, MD, Enrico Vasile, MD, Fabio Vistoli, MD, PhD, FEBS, Ugo Boggi, MD, FEBS

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Statistical Comparison between Pores and Sunspots during the Time Interval 2010–2023 by Yang Peng, Yu Fei, Nan-bin Xiang, Lin-hua Deng, Ting-ting Xu, Sheng Zheng, Shu-guang Zeng, Hai-yang Zhang, Shi-hu Liu

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On-chip deterministic arbitrary-phase-controlling by Ma Rui, Li Chu, Yan Qiuchen, Wang Xinyi, Wang Ruiqi, Wang Yufei, Chen Yumeng, Li Yan, Lu Cuicui, Wang Jianwei, Hu Xiaoyong, Chan Che Ting, Gong Qihuang

“…Our work not only paves the way for fundamental research in chip-scale novel optical devices but also promotes the study of topological quantum computing.…”
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Resource selection by a megaomnivore in a marine foraging habitat by Andrew S. Maurer, Tomo Eguchi, Garrett E. Lemons, Robin A. LeRoux, Erin L. LaCasella, Calandra N. Turner Tomaszewicz, Megan E. Hanna, Jessica Curran, Bryant Chesney, Sheila V. Madrak, Jeffrey A. Seminoff

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Stress can be detected during emotion-evoking smartphone use: a pilot study using machine learning by Lydia Helene Rupp, Akash Kumar, Misha Sadeghi, Lena Schindler-Gmelch, Marie Keinert, Bjoern M. Eskofier, Bjoern M. Eskofier, Matthias Berking

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Statistical analysis and machine learning of TMS-induced MEPs for predicting poststroke motor impairment and performance by Chun-Ren Phang, Shintaro Uehara, Sachiko Kodera, Akiko Yuasa, Shin Kitamura, Yohei Otaka, Akimasa Hirata

“…The SVM model predicted motor outcomes with an R2 of 0.42 and a normalized root mean square error of 0.26. A Gaussian classifier achieved 75 % accuracy in classifying motor outcome improvements. …”
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Enhancing cognitive function through blood flow restriction: An effective resistance exercise modality for middle-aged women by Dohyeon Lee, Kyeongho Byun, Sewon Lee

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Digital therapeutics approach for young children with myopia using SAT-001 (DAYS): study protocol for a randomized controlled trial by Hae Jung Paik, Byung Joo Lee, Dong Hui Lim, So Young Han, Eun Hye Jung, Hyun Jin Shin, Hyun Kyung Kim, Ungsoo Samuel Kim, Won Jae Kim, Hee Young Choi, Jihae Park, Soolienah Rhiu, Jihye Lee, Moonjeong Kim, Kyunghee Kim

“…The change in the spherical equivalent refractive error (SER) at 48 weeks from baseline serves as the primary endpoint. …”
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Safe Use of Butorphanol–Azaperone–Medetomidine to Immobilize Free‐Ranging White‐tailed Deer by Joseph R. McDermott, Wendy Leuenberger, Caleb A. Haymes, Garrett B. Clevinger, Jonathan K. Trudeau, Tim C. Carter, John T. Hast, Gabriel S. W. Jenkins, Will E. Bowling, John J. Cox

“…Despite its increased use in recent years, scant research has quantified the physiologic responses of immobilized animals or assessed its relative efficacy using different trapping methods. …”
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Real-Time Implementation of Hybrid Visible Light/Infrared Communications Supporting Full-Range Dynamic Dimming Control by Shixin Liu, Xiaodi You, Jian Chen, Changyuan Yu, Chaoran Xiong, Mingyi Gao, Gangxiang Shen

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Early Study on Visible (Vis) and Short-Wave Infrared (SWIR) Spectroscopy for Assessing Water Content in Olive Fruits: Towards Sustainable Land and Agricultural Practices by Giuseppe Bonifazi, Riccardo Gasbarrone, Davide Gattabria, Eugenio Lendaro, Luciana Mosca, Roberto Mattioli, Silvia Serranti

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Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization by Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare

“…Model performance was evaluated using Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Mean Absolute Error (MAE), and Mean Squared Error (MSE) metrics across three sample sizes (25%, 50%, and 75%). …”
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La presencia de mitos relacionados con la Actividad Física y el Deporte en estudiantes del ciclo formativo de grado medio y superior (The presence of misconceptions related to phys... by Marta García Tomás, Luis Rodiles Guerrero, Beatriz Bachero Mena

“…Además, podemos afirmar, que una gran mayoría de los errores, se dan dentro de las preguntas con relación al entrenamiento de fuerza. …”
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Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

“…This study represents a step forward towards the application of epigenetic autosomal and sex chromosomal combined age prediction models for aging and forensic research. Highlights A set of age-prediction models based on DNA methylation (DNAm) markers on sex chromosomes and autosomes was constructed using random forest regression (RFR). …”
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Motivaciones de los estudiantes universitarios para nunca realizar actividades físico-deportivas de tiempo libre. El caso de la Universidad de Guadalajara (Reasons why the universi... by Gabriel Flores Allende, Francisco Ruiz-Juan

“…The sampling procedure for this research was stratified polietapic with proportional affixation; which resulted on a + 3 percent error margin and a trusted level of 95.5 percent. …”
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Modeling of CO₂ Efflux from Forest and Grassland Soils Depending on Weather Conditions by Sergey Kivalov, Irina Kurganova, Sergey Bykhovets, Dmitriy Khoroshaev, Valentin Lopes de Gerenyu, Yiping Wu, Tatiana Myakshina, Yakov Kuzyakov, Irina Priputina

“…When evaluating large areas, CO₂ efflux modeling serves as a viable alternative to direct measurements. This research aims to identify site-specific differences and their effects on empirical CO₂ efflux modeling. …”
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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

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Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks by N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari

“…Specifically, the root mean square error (RMSE) for the optimal MLP model, which utilized a learning rate of 0.001 and a momentum of 0.67, was 0.10. …”
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