Determining Body Condition of Dairy Cows for Early Diagnosis of Physiological Diseases by D. Yu. Pavkin, S. S. Yurochka, A. A. Polikanova, I. M. Dovlatov

“…(Research purpose) To develop an algorithm for complex operational diagnostics of the physiological state of dairy cows by their live weight and body condition. …”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
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Histological assessment of inflammatory infiltrates in interstitial cystitis/bladder pain syndrome (IC/BPS): a comparative study of mast cell quantification techniques by Tunch Akmandor, Alex Freeman

“…Therefore, this retrospective study aimed to assess inflammatory cell infiltrate to better understand the role of inflammation to provide diagnostic value in histopathology reports for improved patient treatment and to compare histochemical and immunohistochemical stains for efficiency and sensitivity in detection and quantification of mast cells in detrusor muscle. …”
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Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…The optimal surge absorption configuration will be chosen based on its ability to meet various criteria, including efficient operation, rapid response, minimal complexity on both power and control sides, and the involvement of active and passive components. …”
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Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture by Syed Asad Imam, Meng Hee Lim, Ahmed Mohammed Abdelrhman, Iftikhar Ahmad, Mohd Salman Leong

“…This enhanced performance was achieved with minimal human intervention and without complex signal processing. The Implementation of this approach within complex rotor systems offers a significant improvement in both the efficiency and reliability of blade FD.…”
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The content of heavy metals in the aerial parts of the common nettle and sun spurge from Oštrelj (municipality of Bor): A contribution to the examinations of plant biomonitoring an... by Zoran O. Stevanović, Slađana Č. Alagić, Snežana B. Tošić

“…The most abundant detected metal in both plant species was Cu, with the notification that its concentrations reached even phytotoxic levels. …”
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Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…The research findings provide an efficient and reliable deep learning solution for the localization of pollution sources in complex spaces.…”
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Importance of forensic accounting in the process of making decisions by the top management by Dragan Cvetković, Ljiljana Dimitrijević, Slaviša Đorđević

“…In modern business conditions, more and more attention is paid to the introduction of forensic accounting into the regular operations of the company and its development, in order to achieve more efficient and effective controls of all organizational parts in the company. …”
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Revolutionizing Financial management: Unleashing the power of AI for Sustainable Growth by Bhokare Arati S., Patil Snehal D., Kulkarni Praveen. M.

“…By cultivating more sustainable, effective, and efficient corporate practices, artificial intelligence (AI) reinvents financial management. …”
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Beyond Snippet Assistance: A Workflow-Centric Framework for End-to-End AI-Driven Code Generation by Vladimir Sonkin, Cătălin Tudose

“…However, these tools primarily assist with isolated coding tasks and lack a structured approach to automating complex, multi-step software development workflows. …”
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Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications by Caizhi Liao, Huaxing Wu, Luigi G. Occhipinti

“…The integration of advanced diagnostic technologies in healthcare is crucial for enhancing the accuracy and efficiency of disease detection and management. This paper presents an innovative approach combining machine learning-assisted 3D flexible fiber-based organic transistor (FOT) sensors for high-accuracy metabolite analysis and potential diagnostic applications. …”
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Rapid diagnosis of adult-type diffuse glioma using a layered scheme by Jinsong Wu, Shuai Wu, Dandan Cao, Zhang Xiong, Jianhua Zhang, Yourui Zou, Zanyi Wu, Yanli Nie, Chen Luo, Ye Yao, Yanyan Song, Yuchen Jiao, Hong Chen, Hui Ma, Dezhi Kang, Ying Mao, Hai Yan

“…Abstract Background Molecular biomarkers have become an essential part of the diagnosis of adult-type diffuse glioma. Still, complex detection methods and long-term turnaround for these biomarkers hinder integrated diagnosis in clinical practice. …”
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Addressing Insider Threats: The Human Factor in Cybersecurity for Financial Institutions by Hewa Majeed Zangana, Harman Salih Mohammed, Mamo Muhamad Husain

“…The findings reveal that AI-powered tools—such as behavioral biometrics, machine learning, and blockchain technologies—substantially enhance fraud detection and risk management. Real-world implementations in financial institutions demonstrated improved threat response, reduced regulatory penalties, and increased operational efficiency. …”
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MAGNETIC RESONANCE IMAGING OF THE LIVER AND SPLEEN IN THE DIAGNOSIS OF STORAGE DISEASES (literature review) by A. A. Solov’eva, G. A. Yatsyk, U. L. Dzhulakyan, E. A. Lukina

“…Incorporation of MRI into the examination algorithm for patients with storage diseases will be able to improve the detection of these rare diseases and to monitor the efficiency of performed therapy.…”
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Genetic algorithm solving the scheduling problem of large-scale power grid material quality inspection bases under multiple constraints by Li Lin, Chen Yongqiang

“…A mathematical programming model is constructed for the scheduling problem of large-scale power grid material quality inspection bases under complex and multi constraint conditions, with the completion time of material inspection, equipment utilization rate of the base, and total equipment load as multi-objective performance indicators. …”
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Programing mechanics in warp-knitted spacer materials with double inlay-jacquard systems by Zhang Yanting, Zhang Jing, Zhang Aijun, Liu Haisang, Chen Chaoyu, Jiang Gaoming

“…This researched programing method shows great potential in increasing design efficiency and decreasing chemicals consumption in printing.…”
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Using machine learning to assist decision making in the assessment of mental health patients presenting to emergency departments by Oliver Higgins, Rhonda L. Wilson, Stephan K. Chalup

“…While CatBoost showed strong predictive capabilities, its complexity poses challenges for clinical interpretation. …”
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Current Tasks in Identifying Invalid Events in Critical Information Infrastructure by D. A. Evdokimova, A. A. Mikryukov

“…Problems related to large data volumes, the complexity of event processing, the considerable time required for their detection, and technological limitations were considered. …”
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Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. by Lukas Grossberger, Francesco P Battaglia, Martin Vinck

“…SPOTDisClust does not require binning and can detect complex patterns (beyond sequential activation) even when high levels of out-of-pattern "noise" spiking are present. …”
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Rapid and sensitive determination of bongkrekic acid with molecularly imprinted polymer-coated wooden-tip electrospray ionization mass spectrometry by Chunfei Zhong, Xinyan Li, Fan Zhang, Ning Liu, Jiewei Deng, Yunyun Yang, Tiangang Luan

“…This study integrates MIP with ambient mass spectrometry, offering a robust, selective, and sensitive tool for the monitoring of trace BA levels in complex food and environmental samples, contributing significantly to public health safety and food quality control.…”
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