Evaluation of the Potential Use of Wild Relatives of Tomato (<i>Solanum pennellii</i>) to Improve Yield and Fruit Quality Under Low-Input and High-Salinity Cultivation Conditions by Maria Gerakari, Anastasia Kyriakoudi, Dimitris Nokas, Ioannis Mourtzinos, Evangelia G. Chronopoulou, Eleni Tani, Ilias Avdikos

“…Regarding genotypes’ ranking based on the relative performance of agronomic traits under a salinity regime of 8.63 mS/cm compared to a salinity regime of 1.88 mS/cm, IL6-6 exhibited significant tolerance to high-salinity conditions compared to the commercial hybrid and other ILs, like IL8-9. …”
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Behavioral measure of the light‐adapted visual sensitivity of white‐tailed deer by Bradley S. Cohen, David A. Osborn, George R. Gallagher, Robert J. Warren, Karl V. Miller

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A Hierarchical Attention-Guided Data–Knowledge Fusion Network for Few-Shot Gearboxes’ Fault Diagnosis by Xin Feng, Tianci Zhang

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Deep Neural Network-Based Detection of Modulated Jamming in Free-Space Optical Systems: Theory and Performance Under Atmospheric Fading by Manav R. Bhatnagar

“…Monte Carlo simulations are used to evaluate the DNN&#x2019;s performance under varying noise, fading, and jamming conditions. …”
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Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana by John-Bosco Diekuu, M. S. Mekala, Ulric Sena Abonie, John Isaacs, Eyad Elyan

“…Student performance can fluctuate over time due to various factors (e.g. previous assignment grades, social life and economic conditions). …”
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Untargeted metabolomics fingerprints in seminal plasma of patients with abnormal sperm morphology using high-performance liquid chromatography and mass spectrometry by Serena Correnti, Giuseppina Fanelli, Mariaimmacolata Preianò, Veronica Lelli, Mariagrazia Tarantino, Annalisa Fregola, Massimo Bitonti, Emanuela Chiarella, Anna Maria Timperio, Sara Rinalducci, Rocco Savino, Rosa Terracciano

“…In this study, an untargeted High-Performance Liquid Chromatography-Mass Spectrometry (HPLC-MS) approach was performed to explore SP metabolic alterations associated with teratozoospermia. …”
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The influence of knowledge absorptive capacity on the knowledge-based enterprises performance by explaining the mediating role of innovation strategy and open innovation activities by Seyed Reza Seyed Javadin, Rasoul Nosratpanah, Aref Ashrafzadeh

“…However, many studies conducted on Iranian KBEs have explored the literature and recounted the actions and experiences of other countries without considering the specific requirements and environmental conditions governing these companies. The increasing weakening of Iranian knowledge-based companies, due to the gap between their routines and environmental requirements, has prompted managers of these companies to seek the identification and acquisition of new organizational capabilities, as well as to enhance company performance through the adoption and implementation of effective decisions. …”
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Development of a Predictive Model for the Biological Activity of Food and Microbial Metabolites Toward Estrogen Receptor Alpha (ERα) Using Machine Learning by Maksim Kuznetsov, Olga Chernyavskaya, Mikhail Kutuzov, Daria Vilkova, Olga Novichenko, Alla Stolyarova, Dmitry Mashin, Igor Nikitin

“…In this study, we evaluated a suite of 27 machine learning models and, following systematic optimization and rigorous performance comparison, identified linear discriminant analysis (LDA) as the most effective predictive approach. …”
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Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging by Zirak Khan, Seung-Chul Yoon, Suchendra M. Bhandarkar

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Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection by M. Muthulakshmi, K. Venkatesan, Syarifah Bahiyah Rahayu, K. L. Nayana Sree

“…Secondly, discrimination of obstructive respiratory diseases (COPD, asthma) and restrictive respiratory diseases (other) is critical, as they have different treatment and management strategies. …”
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Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring C... by Carlos Alberto Sanches, Andre Felipe Henriques Librantz, Luciana Maria Malosá Sampaio, Peterson Adriano Belan

“…Decision tree models trained solely on HRV features achieved 76.4% accuracy with high discriminative performance for active COVID-19 (F1-score=88%; area under the curve=0.85) but limited detection of post–COVID-19 condition (F1-score=56%). …”
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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…Averaged over IoU thresholds from 0.50 to 0.95, YOLOv11x demonstrated superior spatial localization performance (<i>mAP</i>_50–95 = 0.973), while YOLOv12x exhibited robust performance in complex background scenarios, achieving a competitive <i>mAP</i>_50–95. …”
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Quality Change of Citri Reticulatae Pericarpium (Pericarps of <i>Citrus reticulata</i> ‘Chachi’) During Storage and Its Sex-Based In Vitro Digestive Performance by Peirong Yu, Yuying Zeng, Chunyu Li, Bixia Qiu, Yuan Shi, Qixi He, Uri Lesmes, Yigal Achmon

“…Despite the widespread use of traditional foods, there is limited evidence regarding the precise relationships between storage conditions, aging duration, and the digestive performance of CRP. …”
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Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model by Takeshi Tohyama, MD, PhD, Liam G. McCoy, MD, MSc, Euma Ishii, MD, PhD, Sahil Sood, Jesse Raffa, PhD, Takahiro Kinoshita, MD, MPH, Leo Anthony Celi, MD, MPH, MSc, Satoru Hashimoto, MD, PhD

“…However, performance varied significantly across disease categories, with suboptimal calibration for neurologic conditions and trauma. …”
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Quantifying Football Shooting Precision: The Expected Shot Impact Timing (xSIT) Approach by Blanca De-la-Cruz-Torres, Miguel Navarro-Castro, Anselmo Ruiz-de-Alarcón-Quintero

“…Additionally, this study sought to compare the performance and discriminative capacity of two existing post-shot expected goal metrics (xSIT and xGOT, expected goals on target) in evaluating the probability of scoring for shots on target after the moment of execution. …”
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Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: A comparison of machine learning tools and feature selection approaches by Fatemeh Salek, Seyed Ahmad Mireei, Abbas Hemmat, Mehrnoosh Jafari, Mohammad R. Sabzalian, Majid Nazeri, Wouter Saeys

“…Classification analysis was performed using the full mean spectral data with partial least squares discriminant analysis, soft independent modeling of class analogy (SIMCA), support vector machines, and artificial neural network (ANN) classifiers. …”
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Honey bees rely on associative stimulus strength after training on an olfactory transitive inference task by Martin Giurfa, Silvia Lee, Catherine Macri, Catherine Macri

“…We conditioned bees with five odorants, either forward-or backward-paired with a sucrose solution, across four discrimination tasks. …”
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Metagenomic Analysis Reveals the Characteristics of Cecal Microbiota in Chickens with Different Levels of Resistance During Recovery from <i>Eimeria tenella</i> Infection by Jianqiang Tang, Liyue Dong, Meihui Tang, Areej Arif, Honghong Zhang, Genxi Zhang, Tao Zhang, Kaizhou Xie, Shijie Su, Zhenhua Zhao, Guojun Dai

“…The results revealed significant differences in both cecal tissue structure and growth performance between the different groups during recovery. …”
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Detection of Respiratory Disease Based on Surface-Enhanced Raman Scattering and Multivariate Analysis of Human Serum by Yulia Khristoforova, Lyudmila Bratchenko, Vitalii Kupaev, Dmitry Senyushkin, Maria Skuratova, Shuang Wang, Petr Lebedev, Ivan Bratchenko

“…A multivariate analysis of the SERS characteristics of human serum was performed using Partial Least Squares Discriminant Analysis (PLS-DA) to classify the following groups: (1) all respiratory disease patients versus the pathological referent group, which included CHF patients, and (2) patients with COPD versus those with BA. …”
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Predicting fall risk through step width variability at increased gait speed in community dwelling older adults by Ungbeom Kim, Jeongtaek Lim, Yongnam Park, Youngsook Bae

“…Notably, the step width variability was higher in the fall-risk group under both speed conditions and showed greater discriminative power at increased walking speed. …”
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