Lingvocultural Specifics of the Communicative Behaviour in Arabic English-language Business Discourse by L. A. Kochetova, Yassien Sh. S. Al-Bayati

“…It is concluded that in cross-cultural value-marked situations speech acts implementation follows algorithms that are relevant in a given culture and display cultural specificity that can be studies by linguistic methods.…”
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Visual analysis of research trends in diabetes-associated dry eye via bibliometrics by Zhe Yang, Jia-Yi Jiang, Xiao-Hui Zhang

“…Building risk prediction models using machine learning algorithms is a promising future research direction, enabling physicians to identify high-risk individuals and implement early interventions.…”
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Artificial intelligence driven mental health diagnosis based on physiological signals by P.R. Naregalkar, A.A. Shinde, M.V. Patil

“…The machine learning algorithms, like Decision tree and kernel support vector machine, are employed for dope classification tasks. …”
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A Fast-Response Method for Determining the Amplitude of a Signal in Microprocessor Automation and Control Systems with Frequency Fluctuations by Yu. V. Rumiantsev, F. A. Romaniuk, V. Yu. Rumiantsev

“…At the same time, in critical situations, failure of automation and control systems, as well as incorrect operation of their functional algorithms, cannot be excluded. Known methods for determining the amplitude of a signal with frequency fluctuations provide a solution to the existing problem, but they are characterized by a slow response. …”
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Identifying and Validating Prognostic Hyper-Inflammatory and Hypo-Inflammatory COVID-19 Clinical Phenotypes Using Machine Learning Methods by Ji X, Guo Y, Tang L, Gao C

“…The k-prototypes clustering method was employed using 50 clinical variables to identify phenotypes. Machine learning algorithms were then applied to select key classifier variables for phenotype recognition.Results: A total of 1376 patients met the inclusion criteria. …”
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How real is the long-lasting effect of tumor necrosis factor α inhibitors? Focus on immunogenicity by D.E. Karateev

“…The risk that the need to increase the dose because of gradual loss of effectiveness of therapy with ADA and INF, was 4.9- and 28-fold higher, respectively, as compared to ETN. Therapeutic algorithms make it possible to control therapy with TGFα inhibitors (development of ADAbs, blood concentration of drug), as well as to switch to using another biological drug. …”
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The role of artificial intelligence in breast cancer screening as a supportive tool for radiologists by Agata Król, Katarzyna Kwaterska, Karol Kutyłowski, Paweł Łuckiewicz

“…Difficulties, possible errors and people’s opinion were also highlighted. Conclussion AI algorithms find their potential application in breast cancer screening, mainly as a supportive tool for radiologists. …”
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A pharmacovigilance analysis of post-marketing safety of durvalumab by An-Ju Tan, Wan-Ying Liu, Jun-Li Lu, Qing-Ying Tan, Yu Yan, Dun-Chang Mo

“…Four disproportionality analysis algorithms were used to detect signals between durvalumab and adverse events (AEs). …”
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Intelligent fault diagnosis of shearer based on simplified interval kernel global-local feature fusion by Ning LI, Hua DING, Xiaochun SUN, Zeping LIU, Guoshu PU

“…The results show that compared with the midpoint-radius kernel PCA, the kernel local preservation projection and interval kernel global-local feature fusion algorithms, the proposed method has a good monitoring effect on the single variable simulation fault, the multi-variable pick loss and the waterway blockage fault of shearers. …”
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MISHTI study evaluating hepatic fibrosis in type 2 diabetes patients in India by Debasis Datta, Krishna G. Seshadri, Samit Ghosal

“…Future research should focus on refining diagnostic algorithms to better address the burden of significant fibrosis in at-risk populations.…”
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Machine learning applications for early detection of esophageal cancer: a systematic review by Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, Rayan Ebnali Harari

“…Furthermore, many studies suffer from class imbalance and biases, highlighting the need for validation of detection algorithms across organizations in longitudinal studies.…”
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Impurity rates detection for pepper harvesting based on YOLOv8n-Seg-ASB and random forest by Lijian Lu, Jin Lei, Chenming Cheng, Shiguo Wang, Chengfu Wang, Xinyan Qin

“…To address the inaccuracies and inefficiencies of pepper impurity rates detection caused by complex material compositions and variable harvesting environments, this paper proposes a detection technique based on deep and machine learning algorithms. First, a machine vision-based image acquisition device for pepper material is designed to reliably capture high-quality real-time images. …”
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Edge-based detection and localization of adversarial oscillatory load attacks orchestrated by compromised EV charging stations by Khaled Sarieddine, Mohammad Ali Sayed, Sadegh Torabi, Ribal Atallah, Chadi Assi

“…The edge-based detection relies on the behavioral characteristics of the power grid in the presence of interconnected EVCS while combining cyber and physical layer features to implement deep learning algorithms for the effective detection of oscillatory load attacks at the EVCS. …”
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The impact of virtual rheumatology care on patient outcomes and hospital admissions: an ambispective study by Ummugulsum Gazel, Tommy Han, Seyyid Bilal Acikgoz, Tara Swami, Ricardo Sabido-Sauri, Hart Goldhar, Nataliya Milman, Nancy Maltez, Catherine Ivory, Susan Humphrey-Murto, Sibel Aydin

“…These findings suggest that virtual care is here to stay for some patients and in some circumstances, and it is important to establish algorithms for implementing it to healthcare system. …”
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Frontal Sinus Fractures: Current Strategy of Diagnostics and Treatment by Vares Ya., Gorak V., Filiplsky A.

“…Proposed by the World Association of cranio-maxillofacial osteosynthesis the science-based and clinically proven algorithms for the diagnosis and treatment of fractures of the frontal sinus allow to provide the quality medical care to patients under the conditions of any location and combination of traumatic injury.…”
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Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study by Jiajia Li, Zikai Wang, Longxuan Yu, Hui Liu, Haitao Song

“…Additionally, we seek to develop more accurate text classification algorithms to improve the precision of Chinese medical abstract classification. …”
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LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…Due to complex environmental conditions, varying viewing angles, and unstable lighting conditions, existing insulator defect detection algorithms still face challenges, including missed detection, false detection, and inadequate adaptability for detecting small-sized defects in UAV captured images. …”
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Linear IgA bullous dermatosis secondary to drugs: a real-world pharmacovigilance study of the FDA adverse event reporting system by Yixuan Yang, Hanzhang Xie, Shuhan Liu, Ying Jia, Bingnan Cui, Zhanshuo Xiao

“…A significant statistical association was considered when a drug signal met the criteria of all four algorithms.ResultsIn the FAERS database analysis, we identified 1,394 adverse event (AE) reports associated with LABD. …”
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Establishment of a prediction model and immune infiltration characteristics of atherosclerosis progression based on neutrophil extracellular traps-related genes by Yuan Gao, Lele Hui, Gang Dou, Xiaoying Chang, Yue Tang, Hao Liu, Zebiao Xu, Bing Xu

“…Gene Ontology (GO) and KEGG enrichment analyses were conducted. Machine learning algorithms were used to identify hub genes, then protein-protein interaction (PPI), CO-expression network construction, nomogram model building and validation, and immune infiltration analysis were performed. …”
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Assessment of copeptin and obestatin levels in coronary artery disease patients by Saraa Ali, Fatma F. Abdel Hamid, Samia Hussein, Shaimaa Wageeh, Doaa M. Ibrahim

“…They are currently assessed clinically through myocardial enzymes, electrocardiography, risk score algorithms, and angiography. It is important to find a suitable marker to differentiate them from other causes of chest pain. …”
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