Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…In this case, the issue of anomaly detection is acute, since anomalous activity detected in time can prevent a cyber attack. …”
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Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

“…To solve these problems, in this study, we propose a novel Android malware detection framework, where we contribute an efficient Application Programming Interface (API) call sequences extraction algorithm and an investigation of different types of classifiers. …”
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Integration of targeted herbicide application technologies into an integrated weed management program for tomato plasticulture production by Ana Claudia Buzanini, Renato Herrig Furlanetto, Arnold Walter Schumann, Nathan Shawn Boyd

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Research Progress and Prospects on Pantograph-Catenary Arcing in Urban Rail Transit by ZHANG Yuhang, WEI Zhiheng, ZHOU Yuxiang, MA Zhipeng

“…The progress of simulating arcing physical fields with finite element software is introduced. …”
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Research Progress and Prospects of Intelligent Measurement and Control Technology for Tillage Depth in Subsoiling Operations by Yue Deng, Wenyi Zhang, Bing Qi, Yunxia Wang, Youqiang Ding, Haojie Zhang

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Applications and Prospects of CRISPR/Cas9 Technology in the Breeding of Major Tropical Crops by Lixia Zhou, Xianhai Zeng, Yaodong Yang, Rui Li, Zhihao Zhao

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Research Progress and Technological Application Prospects of Comprehensive Evaluation Methods for Egg Freshness by Zhouyang Gao, Jiangxia Zheng, Guiyun Xu

“…As consumer demand for food quality assurance increases, research in egg freshness evaluation has made substantial progress. While existing studies have focused on isolated detection methods for egg freshness, there remains a critical gap in systematically integrating multidisciplinary approaches and evaluating their synergistic potential for comprehensive quality assessment. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

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Predicting Disease Progression in Inoperable Localized NSCLC Patients Using ctDNA Machine Learning Model by Yuqi Wu, Canjun Li, Yin Yang, Tao Zhang, Jianyang Wang, Wanxiangfu Tang, Ningyou Li, Hua Bao, Xin Wang, Nan Bi

“…Results Our cfDNA neomer profiling assay showed excellent performance in detecting patients with a high risk for disease progression. …”
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Micro-expression recognition method based on progressive attention by ZHAN Ziwei, SUN Zhaocai, LI Xiang, WU Zhendong

“…To address this issue, a progressive attention multi-scale convolutional network was constructed. …”
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Multidisciplinary teams involved: detection of drug-related problems through continuity of care by Elena Yaiza Romero-Ventosa, Marisol Samartín-Ucha, Alicia Martín-Vila, María Lucía Martínez-Sánchez, Isabel Rey Gómez-Serranillos, Guadalupe Pineiro-Corrales

“…Objective: To quantify Drug-Related problems (DRPs) by establishing a Strategic Continuity of Care Program (e-Conecta- Concilia Program; e-CC) focused on the drug therapy of patients within an Integrated Management Structure, in order to guarantee the therapeutical efficiency, safety and traceability of patients. …”
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Recent progress in prompt molecular detection of liquid biopsy using Cas enzymes: innovative approaches for cancer diagnosis and analysis by Zahra Farshchian Yazdi, Shahrzad Roshannezhad, Samaneh Sharif, Mohammad Reza Abbaszadegan

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Research progress on conductive hydrogels derived from natural biopolymers as emerging interface materials for motion detection wearable sensors by Guangtao Jiang, Wei Guo

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Research Progress on Harmful Products from Maillard Reaction in Dairy Products: Generation Pathways, Detection Methods, and Control Strategies by XU Wenlong, XIE Yijia, PAN Yang, LIAO Lijuan, HUANG Min, YANG Yinxi, WU Yongtai, LI Bing

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Joint Modeling of Longitudinal Visual Field Changes and Time to Detect Progression in Glaucoma Patients: A Secondary Data Analysis by Samaneh Sabouri, Elham Haem, Masoumeh Masoumpour, Hans G. Lemij, Koenraad A. Vermeer, Siamak Yousefi, Saeedeh Pourahmad

“…Evaluation of longitudinal changes in the visual field (VF) and detecting progression in a timely manner are critical for effective disease management. …”
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A novel post-mortem pathogen discovery program detects an outbreak of Echovirus E7: Uganda, 2022–2023 by Sonja L. Weiss, Sonja L. Weiss, Nicholas Bbosa, Nicholas Bbosa, Nicholas Bbosa, Gregory S. Orf, Gregory S. Orf, Michael G. Berg, Michael G. Berg, Deogratius Ssemwanga, Deogratius Ssemwanga, Sam Kalungi, Sam Kalungi, Stephen Balinandi, Maximillian Mata, Maximillian Mata, Henry Kyobe Bosa, Henry Kyobe Bosa, Henry Kyobe Bosa, Stella E. Nabirye, Joshua Buule, Tom Lutalo, Angela Havron, Angela Havron, Robert Downing, Mary A. Rodgers, Mary A. Rodgers, Francisco Averhoff, Francisco Averhoff, Gavin A. Cloherty, Gavin A. Cloherty, Pontiano Kaleebu, Pontiano Kaleebu

“…Here, we established a novel mortuary surveillance program in Uganda that leverages the unbiased nature of metagenomic next-generation sequencing (mNGS) to detect pathogens in recently deceased individuals.MethodsBetween October 2022 and December 2023, specimens and patient metadata were collected from 2,607 individuals across five mortuary sites around Kampala. …”
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Factors affecting detection probability: Insights from banding data in a long-term continent-wide monitoring program by Morgane Gicquel, Juan C. Alonso, Lovisa Nilsson, Matthew Low, Javier A. Alonso, Dmitrijs Boiko, Damon Bridge, Patrick Dulau, Thomas Heinicke, Anne Kettner, Yosef Kiat, Petras Kurlavičius, Sigvard Lundgren, Michael Modrow, Günter Nowald, Ivar Ojaste, Alain Salvi, Jostein Sandvik, Markéta Ticháčková, Antonio Torrijo, Jari Valkama, Zsolt Végvári, Johan Månsson

“…In this study we investigate factors influencing detection rates of colour-banded Eurasian cranes (Grus grus), from a monitoring program spanning 35 years, involving 5049 marked individuals using four different types of bands (ELSA, ‘Finnish’, ‘Spanish’ and alphanumeric) with 172,725 resightings along migratory flyways. …”
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Review of the implementation seven-year screening program for early detection of breast cancer in the Khanty-Mansi autonomous okrug – Yugra by Yu. A. Belaya, N. A. Zakharova

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What Is the Most Cost-Effective Breeding Program for Dairy Heifers—Timed AI, Estrous Detection, or a Combination of Both? by Klibs N. Galvão, Eduardo S. Ribeiro, Jose Eduardo P. Santos

“…VM199/VM199: What Is the Most Cost-Effective Breeding Program for Breeding Heifers—Timed AI, Estrous Detection, or a Combination of Both? …”
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A New Approach to Electrical Fault Detection in Urban Structures Using Dynamic Programming and Optimized Support Vector Machines by Reynaldo Villarreal, Sindy Chamorro-Solano, Yolanda Vega-Sampayo, Carlos Alejandro Espejo, Steffen Cantillo, Luis Gaviria, Jheifer Paez, Carlos Ochoa, Silvia Moreno, Claudet Polo, Roberto Pestana-Nobles, Camilo Montoya

“…These environments present unique electrical challenges, such as phase imbalances and transient voltage fluctuations, which require robust fault detection mechanisms. This work investigates the use of AI with dynamic programming and a support vector machine (SVM) to improve fault detection. …”
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