New insights into developmental biology of Eimeria tenella revealed by comparative analysis of mRNA N6-methyladenosine modification between unsporulated oocysts and sporulated oocy... by Qing Liu, Bingjin Mu, Yijing Meng, Linmei Yu, Zirui Wang, Tao Jia, Wenbin Zheng, Wenwei Gao, Shichen Xie, Xingquan Zhu

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Genetic diversity of Lecanicillium lecanii and its pathogenicity against Diaphorina citri by Lu Lianming, Cheng Baoping, Du Danchao, Hu Xiurong, Pu Zhanxu, Chen Guoqing

“…Diaphorina citri may be the most serious pest of citrus worldwide, primarily because it is the vector of huanglongbing (HLB), one of the most destructive citrus diseases, and can damage citrus directly by feeding fresh shoots and cause citrus sooty mold disease. …”
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Screening the Unidentified Noncommunicable Disease Prevalence in Orthopedic Outpatient Department in a Tertiary Care Teaching Institute in India by Vetrivel C Sengodan, Kalidas Ponnusami, Vijay KA Subramaniyan, Venkatesh Venkatachalam, Sreehari Vikram

“…Objective of the study: The objective of the study is to describe the percentage of new (unidentified) systemic hypertension and diabetes mellitus in the orthopedic OPD and the process of establishing the preventive health and screening OPD in a tertiary care hospital in Coimbatore, Tamil Nadu, India. …”
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Prognostic effect of CD74 and development of a radiomic model for predicting CD74 expression in non-small cell lung cancer by Yancheng Wang, Zhen Gao, Meng Li, Meng Li, Zhen Feng, Zhen Feng, Hui Wang, Hui Wang

“…Logistic regression (LG) and support vector machine (SVM) analysis were used to construct the prediction model. …”
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A bio-inspired framework for apple leaf disease detection: Integrating lesion localization, ant colony optimization, and machine learning by Xiaolong Li, Feifan Huang, Haotian Sun, Jiayu He, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…To address the growing need for rapid, accurate, and scalable solutions in precision disease detection and management, this study presents a novel framework integrating image processing, artificial intelligence (AI), and ant colony optimization (ACO) for automated disease classification in apple leaves. …”
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Study of the slant fracture in solid and hollow cylinders: Experimental analysis and numerical prediction by N. Ben Chabane, N. Aguechari, M. Ould Ouali

“…These two models have been extended to take into account the thermal heating effect induced by the mechanical dissipation within the material during the metal forming process. The two models have been implemented into the finite element code Abaqus/Explicit using a Vectorized User MATerial (VUMAT) subroutine. …”
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Development of an upper limb muscle strength rehabilitation assessment system using particle swarm optimisation by Chuangan Zhou, Siqi Wang, Meiyi Wu, Wei Lai, Junyu Yao, Xingyue Gou, Hui Ye, Jun Yi, Dong Cao

“…Simultaneously, triaxial kinematic data of the glenohumeral joint were obtained via an MPU6050 inertial measurement unit, processed through quaternion-based orientation estimation. …”
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A Comprehensive Review of Crop Chlorophyll Mapping Using Remote Sensing Approaches: Achievements, Limitations, and Future Perspectives by Xuan Li, Bingxue Zhu, Sijia Li, Lushi Liu, Kaishan Song, Jiping Liu

“…Combining physical models with data processing methods, such as artificial intelligence, can improve scalability, cost-effectiveness, and real-time monitoring capabilities.…”
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Enhancing Immoral Post Detection on Social Networks Using Knowledge Graph and Attention-Based BiLSTM Framework by Bibi Saqia, Khairullah Khan, Atta Ur Rahman, Sajid Ullah Khan, Mohammed Alkhowaiter, Wahab Khan, Ashraf Ullah

“…Various Natural Language Processing (NLP) approaches are being employed to detect subtle immoral posts; however, there remains a research gap due to the semantic and contextual complexity of natural language. …”
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Graph-Based COVID-19 Detection Using Conditional Generative Adversarial Network by Imran Ihsan, Azhar Imran, Tahir Sher, Mahmood Basil A. Al-Rawi, Mohammed A. Elmeligy, Muhammad Salman Pathan

“…These reconstructed features serve as input to a classification module, comprising a multi-layer neural network, GCN, adept at processing graph-structured data, alongside conventional machine learning classifiers such as Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Random Forest (RF), facilitating categorization of chest X-ray images into COVID-19, pneumonia, and normal cases. …”
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An expanded method for malaria parasite genetic surveillance using targeted nanopore sequencing [version 1; peer review: awaiting peer review] by Alexandria J. R. Harrott, Richard D. Pearson, Collins M. Morang'a, Ahmed Osumanu, Mona-Liza Sakyi, Fagdéba David Bara, Enock K. Amoako, Kess Rowe, Myra Hosmillo, Gordon A. Awandare, Yaw Aniweh, Ian Goodfellow, Francis Zeukeng, Lucas N. Amenga-Etego, Cristina V. Ariani, William L. Hamilton

“…Molecular surveillance of Plasmodium parasites and Anopheles mosquito vectors are key components of effective malaria control decision-making. …”
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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…Next, the text content of the electronic documents is modified by employing different natural language processing (NLP) techniques, including named entity recognition of spaCy, knowledge graph, generative pre-trained transformer 3 (GPT-3), and text-to-text transfer transformer (T5) model, to accommodate diverse learning styles. …”
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Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications by Badr Mouazen, Ayoub Benali, Nouh Taha Chebchoub, El Hassan Abdelwahed, Giovanni De Marco

“…Our findings highlight the effectiveness of hybrid deep learning models in improving accuracy, interpretability, and real-time processing capabilities. These contributions have significant implications for applications in neurofeedback, mental health monitoring, and affective computing. …”
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Pemodelan Text Mining dalam Pengkodean Penyakit Pasien Berdasar Kode ICD 10 by Parjono Parjono, Sri Kusumadewi

“…Metode pendekatan yang diterapkan adalah Clinical Text Mining dengan Natural Language Processing dimana metode ini dirasa paling tepat untuk mengekstraksi informasi dari diagnosis dokter yang tidak terstruktur. …”
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Innovative gene delivery systems for retinal disease therapy by Hongguang Wu, Ling Dong, Shibo Jin, Yongwang Zhao, Lili Zhu

“…This bypasses the need for DNA transcription and processing, which significantly enhances therapeutic efficiency. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…However, the sheer volume of data from billions of devices can overwhelm networks, making traditional cloud data processing inefficient for IoT applications. This paper presents a comprehensive survey of recent advances in models, architectures, hardware, and design requirements for deploying machine learning on low-resource devices at the edge and in cloud networks. …”
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Farm-scale mapping of compost and digestate spreadings from Sentinel-2 and Sentinel-1 by Maxence Dodin, Florent Levavasseur, Antoine Savoie, Lucie Martin, Emmanuelle Vaudour

“…Nevertheless, these image processing approaches considered one single EOM, one season and/or year only and were limited to one surface condition prior to spreading. …”
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Comparative clinical and epidemiological characteristics and cytokine profile of viral diarrhea in adults by N. V. Epifantseva

“…The concentration of  proinflammatory and anti-inflammatory cytokines in blood serum  was determined by ELISA using reagents from Vector-best LLC(Novosibirsk). Statistical processing of the obtained data was carried out using electronic programs Microsoft Excel 2010, Statistica 6.0, with the determination of the statistical significance of differences at the achieved significance level p≤0.05 using the Mann – Whitney test (U-test). …”
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Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

“…FVC estimation methods have evolved from traditional manual interpretation to advanced remote sensing technologies, such as satellite data analysis and unmanned aerial vehicle (UAV) image processing. Extraction methods based on high-resolution UAV data are being increasingly studied in the fields of ecology and remote sensing. …”
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Physical training and sports among applicants for higher medical education as a fundamental component of their future military service: the predisposition of medical students to a... by О. М. Vlasenko, N. D. Kozak, I. V. Shcherbyna, D. O. Kozak, O. V. Dema

“…In the course of the study, the method of questioning was applied, followed by mathematical processing of the obtained results. 113 applicants for higher medical education who study at the Faculty of Doctors’ Training for the Armed Forces of Ukraine (FDTAFU) in the specialty 222 "Medicine" were surveyed. …”
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