Editorial: Veterinary rhinology and emerging insights in olfaction by Melissa Singletary, Melissa Singletary, Cynthia M. Otto

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Effectiveness of canine‐assisted surveillance and human searches for early detection of invasive spotted lanternfly by Angela K. Fuller, Ben C. Augustine, Eric H. Clifton, Ann E. Hajek, Arden Blumenthal, Josh Beese, Aimee Hurt, Carrie J. Brown‐Lima

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Region-of-Interest Extraction Method to Increase Object-Detection Performance in Remote Monitoring System by Hyeong-GI Jeon, Kyoung-Hee Lee

“…This study proposes an image data preprocessing method to improve the efficiency of transmitting and processing images for object detection in distributed IoT systems such as digital CCTV. …”
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Intraoperative Surgical Navigation and Instrument Localization Using a Supervised Learning Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

“…However, traditional multi-object tracking (MOT) methods, which decouple the detection and re-identification (re-ID) processes, frequently suffer from long-term reID in non-gaussian movement. …”
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Face Detection Combining the YCbCr Skin Color Model with Improved Adaboost Algorithm by CUI Peng, YAN Tian-tian

“…This paper proposed a new face detection method which based on the Adaboost and the face skin color detection. …”
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Heavy Equipment Detection on Construction Sites Using You Only Look Once (YOLO-Version 10) with Transformer Architectures by Ikchul Eum, Jaejun Kim, Seunghyeon Wang, Juhyung Kim

“…Evaluations conducted on a large-scale dataset of construction-site images demonstrate notable improvements in detecting the heavy equipment of varying sizes. Comparisons with other detectors confirm that the proposed model not only achieves higher accuracy but also maintains competitive processing speed, making it suitable for real-time deployment. …”
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Optical and Electrochemical Biosensors for Detection of Pathogens Using Metal Nanoclusters: A Systematic Review by Mahsa Shahrashoob, Mahdiyar Dehshiri, Vahid Yousefi, Mahdi Moassesfar, Hamidreza Saberi, Fatemeh Molaabasi, Yasser Zare, Kyong Yop Rhee

“…The rapid and accurate detection of pathogenic bacteria and viruses is critical for infectious disease control and public health protection. …”
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Body composition analysis for nutritional program and exercise effects using training masks for tour de linggarjati kuningan cycling athletes by Dicky Reva Apriana Sanga Dwi, Abdul Sukur, Iman Sulaiman

“…The feedback receive from your BOD POD ® assessment can be used to measure the success of nutrition or exercise program, while the average of the twenty athletes whose body composition was analyzed was 16.9, Meaning they were at the Moderate Lean level, meaning the Fat% numbers were at a very good level. …”
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Cost Savings and Reduced Health Care Utilization Associated with Participation in a Digital Diabetes Prevention Program in an Adult Workforce Population by Cynthia Castro Sweet, Carolyn Bradner Jasik, Amy Diebold, Ashley DuPuis, Bryan Jendretzke

“…# Background Though in-person delivery of the Diabetes Prevention Program (DPP) has demonstrated medical cost savings, the economic impact of digital programs is not as well understood…”
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YOLO-Wheat: A More Accurate Real-Time Detection Algorithm for Wheat Pests by Yongkang Liu, Qinghao Wang, Qi Zheng, Yong Liu

“…Moreover, the EMA attention mechanism is implemented before the detection head to preserve feature information through multipath processing, thereby addressing detection challenges posed by pests of varying sizes. …”
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Effect of Tiotropium Bromide on Airway Inflammation and Programmed Cell Death 5 in a Mouse Model of Ovalbumin-Induced Allergic Asthma by Juan Wang, Xiaolin Diao, Hong Zhu, Bei He

“…We previously demonstrated increased expression of programmed cell death 5 (PDCD5) in asthmatic patients and ovalbumin-induced allergic asthma. …”
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Single Nucleotide Polymorphism (SNP) rs2229569 with L Selectin Gene Expression in Iraqi Female during in vitro Fertilization Program. by Raghad Hameed Rashid, Asmaa M. Salih Almohaidi, Alia Hussain Ali

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A Novel Approach to Road Safety: Detecting Illegal Overtaking Using Smartphone Cameras and Deep Learning for Vehicle Auditing by Karem Daiane Marcomini, Vitória de Carvalho Brito, Gregori da Cruz Balestra, Vitor Tosetto, Luiz Carlos Duarte, Antonio Roberto Donadon

“…We used the state-of-the-art deep learning model You Only Look Once version 8 (YOLOv8) to detect yellow road lanes. When these lanes suggest potential illegal overtaking, we apply the YOLO for Panoptic driving Perception version 2 (YOLOPv2) model, followed by post-processing. …”
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Influence of Biological Maturation on Training Load and Physical Performance Adaptations After a Running-Based HIIT Program in Youth Football by Gonzalo Fernández-Jávega, Alejandro Javaloyes, Manuel Moya-Ramón, Iván Peña-González

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A lightweight and optimized deep learning model for detecting banana bunches and stalks in autonomous harvesting vehicles by Duc Tai Nguyen, Phuoc Bao Long Do, Doan Dang Khoa Nguyen, Wei-Chih Lin

“…However, existing studies often rely on multi-stage detection processes. This complicates system design and hinders real-time performance. …”
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Re-testing as a method of implementing external quality assessment program for COVID-19 real time PCR testing in Uganda. by Erick Jacob Okek, Fredrick Joshua Masembe, Jocelyn Kiconco, John Kayiwa, Esther Amwine, Daniel Obote, Stephen Alele, Charles Nahabwe, Jackson Were, Bernard Bagaya, Stephen Balinandi, Julius Lutwama, Pontiano Kaleebu

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Transfer learning driven fake news detection and classification using large language models by Basma S. Alqadi, Suliman A. Alsuhibany, Samia Nawaz Yousafzai, Sharf Alzu’bi, Deema Mohammed Alsekait, Diaa Salama AbdElminaam

“…In this work, we propose a novel multi-stage transfer learning framework that leverages the strengths of pre-trained large language models, particularly RoBERTa, tailored specifically for fake news detection in limited data scenarios. Unlike prior studies which primarily rely on standard fine-tuning, our approach introduces a systematic comparison of word embedding techniques such as Word2Vec and one-hot encoding, combined with a refined fine-tuning process to enhance model performance and interpretability. …”
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Preliminary validation of direct detection of foot-and-mouth disease virus within clinical samples using reverse transcription loop-mediated isothermal amplification coupled with a... by Ryan A Waters, Veronica L Fowler, Bryony Armson, Noel Nelson, John Gloster, David J Paton, Donald P King

“…The objective of this study was to modify an FMDV-specific reverse transcription-LAMP (RT-LAMP) assay to enable detection of dual-labelled LAMP products with an LFD, and to evaluate simple sample processing protocols without nucleic acid extraction. …”
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Designing a Monitoring Tool for Mosul University Network to Detect Worm Infected Computers by Asmaa Hamoo, Sundus Muhamed

“…After examining the net, we used the core switch to monitor the university's inbound and outbound traffic, where the collecting process  of data took place on different periods to show the public  layout of the net. …”
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Six Sigma-Based Frequency Response Analysis for Power Transformer Winding Deformation by Bonginkosi A. Thango

“…This study proposes a novel diagnostic technique, termed FRA6σ, which integrates Six Sigma (6σ) statistical tools with FRA to enable objective fault detection. The methodology employs control charts (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="false"><mrow><mi>X</mi></mrow><mo>¯</mo></mover></mrow></semantics></math></inline-formula> chart, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="false"><mrow><mi>R</mi></mrow><mo>¯</mo></mover></mrow></semantics></math></inline-formula>-chart) to monitor deviations from baseline signatures and utilizes process capability indices (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi><mi>k</mi></mrow></msub></mrow></semantics></math></inline-formula>) to quantify the severity of deviations. …”
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