The Post-Invasion Population Dynamics and Damage Caused by Globose Scale in Central Eurasia: Destiny of Wild Apricot Still at Stake by Ping Zhang, Yifan Li, Cuihong Li, Guizhen Gao, Zhaoke Dong, Elahe Rostami, Zhaozhi Lu, Myron P. Zalucki

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Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

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Detection of Fractured Endodontic Instruments in Periapical Radiographs: A Comparative Study of YOLOv8 and Mask R-CNN by İrem Çetinkaya, Ekin Deniz Çatmabacak, Emir Öztürk

“…<b>Methods:</b> A data set of 1050 annotated PAs was used. Mask R-CNN and YOLOv8 models were trained and evaluated for FEI and RCT detection. …”
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Evaluating and implementing temporal, spatial, and spatio-temporal methods for outbreak detection in a local syndromic surveillance system. by Robert W Mathes, Ramona Lall, Alison Levin-Rector, Jessica Sell, Marc Paladini, Kevin J Konty, Don Olson, Don Weiss

“…We evaluated six temporal and four spatial/spatio-temporal detection methods using syndromic surveillance data spiked with simulated injections. …”
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Real-Time Series Arc Fault Detection and Appliances Classification in AC Networks Based on Competing Convolutional Kernels by Francesco Ferracuti, Riccardo Felicetti, Luca Cavanini, Patrick Schweitzer, Andrea Monteriu

“…This article presents a method to detect and classify series arc faults affecting domestic AC electrical circuits by the analysis of electric current time series data, based on the HYDRA (HYbrid Dictionary-Rocket Architecture) algorithm, a fast dictionary method for time series classification employing competing convolutional kernels. …”
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The Research on Path Planning Method for Detecting Automotive Steering Knuckles Based on Phased Array Ultrasound Point Cloud by Yihao Mao, Jun Tu, Huizhen Wang, Yangfan Zhou, Qiao Wu, Xu Zhang, Xiaochun Song

“…Finally, an automatic detection system was set up to test a steering knuckle specimen with surface circumferential cracks. …”
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A New YOLOv4-tiny Neural Network and Its Application on Object Detection of Power-line Isolators by SONG Li-bo, FEI Yan-qiong

“…The Resblock-D lightweight network is selected as the feature extraction network, and the new YOLOv4-tiny algorithm and deep network based on the standard YOLOv4-tiny structure is designed as the Resblock-D and the CSPDarknet53-tiny are used as the main backbone.Then, the related GPU version Darknet deep network frame was built on Jetson NANO for training, deploying and testing.On basis of the power line images sets from ImageNet standard library and the street shot power line pictures, the isolator data set is established accordingly in the format of standard Pascal VOC.Under the Darknet deep network frame, the detector train command is utilized to train the new YOLOv4-tiny network without the pre-training weight file successfully. …”
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Identifying multimorbidity risks in older adults: a cross-sectional study using the RGA screening data by Jinmyoung Cho, Allison Gibson, Max Zubatsky, Wenjin Wang, Ebow Nketsiah, Angela Sanford, Marla Berg-Weger, Marla Berg-Weger

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Enhancing Typhoid Fever Diagnosis Based on Clinical Data Using a Lightweight Machine Learning Metamodel by Fariha Ahmed Nishat, M. F. Mridha, Istiak Mahmud, Meshal Alfarhood, Mejdl Safran, Dunren Che

“…This study aims to develop a lightweight machine learning-based diagnostic tool for the early and efficient detection of typhoid fever using clinical data. <b>Methods:</b> A custom dataset comprising 14 clinical and demographic parameters—including age, gender, headache, muscle pain, nausea, diarrhea, cough, fever range (°F), hemoglobin (g/dL), platelet count, urine culture bacteria, calcium (mg/dL), and potassium (mg/dL)—was analyzed. …”
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Implementation and Pilot Data on Diabetic Retinopathy in a Teleophthalmology Program at a Multispecialty Primary Care Clinic by Joanne B. Tayapad, MD, Alfonso U. Bengzon, MD, Sherman O. Valero, MD, Milagros H. Arroyo, MD, Ricardo Tobias M. Papa, MD, Egidio Jose S. Fortuna, MD, Jocelyn G. Erni, BS, Myra Alisa J. Reyes, RN, Jerry D. Cavallerano, OD PhD, Lloyd Paul Aiello, MD PhD, Paolo S. Silva, MD

“…Teleophthalmology for DR in this setting allows early detection of potentially sight threatening disease and may prevent visual loss and complications.…”
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Chemical nanosensor arrays for human breath-based diagnostics: Perspective and a promising result for COVID-19 detection by Antonio J. Ricco, Ami M. Hannon, Jing Li

“…Using a 64-nanosensor array of carbon-nanotube-based chemiresistors, we used SIMCA (soft independent modeling by class analogy) on results from 63 volunteers to show that COVID-19 status, positive or negative, can be correctly classified, relative to gold-standard RT-PCR, 92% of the time. While the data set is too small to generate the critical independent training and testing sets, this classification success is a promising basis upon which to design a larger, more definitive study. …”
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A Study on Surface Anomaly Detection for Metro Vehicle Underbody Parts Based on 3D Point Cloud by PENG Liantie, LI Chen, XIONG Minjun, YAN Jiayun, CUI Xiaoyang, LIU Leixinyuan

“…Finally, using actual data from a metro company as a test set, it was verified that the new method, while ensuring a detection rate not lower than the original method, eliminates over 90% of false alarms, significantly reducing false detection rates. …”
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DETECTION OF NON-MELANOMA SKIN CANCER BY DEEP CONVOLUTIONAL NEURAL NETWORK AND STOCHASTIC GRADIENT DESCENT OPTIMIZATION ALGORITHM by Premananda Sahu, Srikanta Kumar Mohapatra, Prakash Kumar Sarang, Jayashree Mohanty, Pradeepta Kumar Sarangi

“…Furthermore, we used HAM 10000 as the data set for training and testing purposes, as well as the feature extraction technique Principal Component Analysis. …”
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SNP-based diagnosis of robertsonian translocation 1;29 in Italian cattle breeds: frequency estimation and efficient detection by A. Bionda, M. Cortellari, A. Cesarani, F. Sbarra, A. Quaglia, L. Liotta, P. Parma, P. Crepaldi

“…Our findings confirm that a small SNP set from this region can effectively detect rob(1;29) carriers, supporting its inclusion in routine genotyping panels for broader and more efficient screening across cattle populations.…”
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Performance verification of the Abbott SARS-CoV-2 test for qualitative detection of IgG in Cali, Colombia. by Maria Del Mar Castro, Isabella Caicedo, Helen Johanna Ortiz-Rojas, Carmen Manuela Castillo, Adriana Giovanna Medina, Neal Alexander, Maria Adelaida Gómez, Ludwig L Albornoz

“…Data from our patient groups also suggest that IgG response is detectable in a high proportion of individuals (88.1%) during the first two months following onset of symptoms.…”
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Detection rate of colorectal cancer by routine colonoscopy is comparable in patients aged 45–49 and 50–54 years by Carla Ammann, Rina Maqkaj, Marcel Andre Schneider, Stefanie Josefine Hehl, Ralph Fritsch, Daniel Pohl, Gerhard Rogler, Christoph Gubler, Matthias Turina, Michael Scharl

“…However, given that an increasing proportion of patients are diagnosed before the age of 50, we set out to determine the detection rate of colorectal carcinoma in patients younger than 50 years and to determine the best threshold for starting colonoscopy screening. …”
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LightYOLO: Lightweight model based on YOLOv8n for defect detection of ultrasonically welded wire terminations by Jianshu Xu, Lun Zhao, Yu Ren, Zhigang Li, Zeshan Abbas, Lan Zhang, Md Shafiqul Islam

“…To verify the effectiveness of the proposed method, we constructed a surface defect data set of ultrasonic welding wire terminals and conducted a series of experiments. …”
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Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method by Muhammad Mubeen, Aliza Muskan, Arslan Akram, Javed Rashid, Tagrid Abdullah N. Alshalali, Nadeem Sarwar

“…The Kaggle Hate Speech data set served as training material for the system, because it contained 24,784 tweets along with eight attributes. …”
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Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-2 by Tatenda Dzurume, Roshanak Darvishzadeh, Timothy Dube, T.S. Amjath Babu, Mutasim Billah, Syed Nurul Alam, Mustafa Kamal, Md. Harun-Or-Rashid, Badal Chandra Biswas, Md. Ashraf Uddin, Md. Abdul Muyeed, Md. Mostafizur Rahman Shah, Timothy J. Krupnik, Andrew Nelson

“…Moreover, the results demonstrated the feasibility of detecting the severity of FAW infestation using temporal Sentinel-2 data and machine learning techniques. …”
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UAV-OVD: Open-Vocabulary Object Detection in UAV Imagery via Multi-Level Text-Guided Decoding by Lijie Tao, Guoting Wei, Zhuo Wang, Zhaoshuai Qi, Ying Li, Haokui Zhang

“…In this paper, we address this limitation by exploring the relationship between images and textual semantics to extend object detection in UAV imagery to an open-vocabulary setting. …”
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