The diagnostic performance evaluation of the SD BIOLINE HIV/syphilis Duo rapid test in southern Ethiopia: a cross-sectional study by Techalew Shimelis, Endale Tadesse

“…The performance of the test to detect HIV was evaluated using 400 sera (200 HIV positives and 200 HIV negatives). …”
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A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context by Yidong Chen, Jin Huang, Fuchou Tang, Lu Wen, Jie Qiao

“…Methods: We developed a computational algorithm to eliminate contaminated nonembryonic DNA from spent embryo culture medium. …”
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Construction and analysis of a prognostic risk scoring model for gastric cancer anoikis-related genes based on LASSO regression by Ai CHEN, Xiaowei CHEN, Yanan WANG, Xiaobing SHEN

“…Gene expression levels in gastric cancer clinical samples and cells were detected by real-time quantitative PCR (RT-qPCR); Kaplan-Meier (KM) survival curves, univariate and multivariate Cox regression analyses were used to verify the predictive efficiency of the prognostic risk scoring model for the prognosis of gastric cancer patients; CIBERSORT and ESTIMATE algorithms were used to analyze the immune cell infiltration levels in patients with different risk groups; the correlation between risk scores and immune checkpoint expression levels in gastric cancer patients was analyzed using the R package "ggplot2" and "ggExtra", and the correlation between tumor mutation burden (TMB) and risk scores was assessed; chemotherapy drug sensitivity analysis was used to evaluate the value of the constructed prognostic risk scoring model in gastric cancer chemotherapy. …”
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Multicenter exploration of microbial communities in hospital toilets reveals: antibiotic exposure in nosocomial settings selects for Enterococcus over commensal taxa by Claudio Neidhöfer, Marcel Neuenhoff, Esther Sib, Anna Rehm, Lúcia Ribeiro Dias, Bernd Neumann, Jörg Steinmann, Manuel Döhla, Yousra Kherabi, Ana Budimir, Crystel Hajjar, Rouba Khatib, Katharina Axtmann, Katjana Schwab, Peter Brossart, Steffen Engelhart, Nico T. Mutters, Gabriele Bierbaum, Stefan Janssen, Marijo Parčina

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The Media Spatial Diffusion Effect and Distribution Characteristics of AI in Education: An Empirical Analysis of Public Sentiments Across Provincial Regions in China by Bowen Chen, Jinqiao Zhou, Hongfeng Zhang

“…Python was used to scrape relevant online comments from various provinces in China. Using the SnowNLP algorithm, sentiments were classified into three categories: positive, neutral, and negative. …”
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Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…This makes it more suitable for medical applications where false negatives carry high risks, such as disease detection, despite its higher cost and mean squared error (MSE). …”
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Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…Compared with previous studies, a more stable water content prediction model of Anshan magnetite was constructed by combining data preprocessing, CARS feature screening and nonlinear regression algorithm, which provides higher precision support for water content detection in mining production.…”
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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

“…The proposed method introduces four key innovations to enhance detection accuracy and model efficiency: (1) A novel Conv2Former (Convolutional Transformer) backbone was designed to combine the local pattern extraction capability of convolutional neural networks (CNNs) with the global contextual reasoning of transformers, thereby improving the expressiveness of feature representation. (2) The CARAFE (Content-Aware ReAssembly of Features) upsampling operator was adopted to replace conventional interpolation methods, thereby enhancing the spatial resolution and semantic richness of feature maps. (3) An Efficient Multi-scale Attention (EMA) module was introduced to refine multi-scale feature fusion, enabling the model to better focus on spatially relevant features critical for WBC classification. (4) Soft-NMS (Soft Non-Maximum Suppression) was used instead of traditional NMS to better preserve true positives in densely packed or overlapping cell scenarios, thereby reducing false positives and false negatives. …”
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Efficacy and predictive biomarkers of immunotherapy in Epstein-Barr virus-associated gastric cancer by Lin Shen, Xiaochen Zhao, Zhenghang Wang, Yuezong Bai, Feilong Zhao, Zhi Peng, Jinping Cai, Tong Xie, Shuang Tong, Xiaofan Wei

“…Additionally, EBV-encoded RNA (EBER) in situ hybridization (ISH), the traditional method to detect EBV, could cause false-positive/false-negative results and not allow for characterizing other molecular biomarkers recommended by standard treatment guidelines for GC. …”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…The Louvain community detection algorithm and structural equation modeling were used to investigate community relationships and potential causal effects. …”
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Reactive Power Controller for Under-Excitation Limiter With Regard to Electromechanical Oscillations by Dusan Joksimovic, Djordje Stojic, Slavko Veinovic, Darko Marcetic

“…The proposed algorithm solves this problem by targeting the specific frequency bandwidth of the Var control system that excludes the detected frequency of electromechanical oscillations. …”
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Sentinel lymph node biopsy guided by indocyanine green dye in endometrial cancer patients: literature review and clinical experience by A. V. Kochatkov, N. S. Kharlov

“…Lymph node involvement is an important prognostic factor in deciding whether neoadjuvant chemotherapy is necessary for endometrial cancer patients. the technique of slN detection using indocyanine green dye appears promising in ensuring adequate intraoperative staging and optimization of the extent and duration of surgery. the use of this algorithm for the treatment of endometrial cancer will significantly reduce the risk of perioperative complications associated with lymphadenectomy, not negatively influencing the disease outcome.…”
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Support Vector Machines and Model Selection for Control Chart Pattern Recognition by Chih-Jen Su, I-Fei Chen, Tzong-Ru Tsai, Tzu-Hsuan Wang, Yuhlong Lio

“…To conquer these downsides, algorithms for control chart pattern recognition (CCPR) leverage machine learning models to detect non-normality or normality and ensure product quality is established, and novel approaches that integrate the support vector machine (SVM), random forest (RF), and K-nearest neighbors (KNN) methods with the model selection criterion, named SVM-, RF-, and KNN-CCPR, respectively, are proposed. …”
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HER2-low breast cancer. Diagnostics, treatment and its adverse events by Hanna Bartkowiak, Damian Grubski, Kacper Ziarnik, Filip Nadolny, Jędrzej Jabłoński, Martyna Kania, Agnieszka Adamowska, Alicja Śniatała

“…Approximately 50% of HER2 –negative breast cancers express low levels of HER2 receptors.  …”
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Identification of osteoarthritis-associated chondrocyte subpopulations and key gene-regulating drugs based on multi-omics analysis by Ting Hao, Zhiwei Pei, Sile Hu, Zhenqun Zhao, Wanxiong He, Jing Wang, Liuchang Jiang, jirigala Ariben, Lina Wu, Xiaolong Yang, Leipeng Wang, Yonggang Wu, Xiaofeng Chen, Qiang Li, Haobo Yang, Siqin Li, Xing Wang, Mingqi Sun, Baoxin Zhang

“…To screen for hub genes associated with OA, a combination of 10 machine learning algorithms and 113 algorithm compositions was integrated. …”
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Application of radiomics-based prediction model to predict preoperative lymph node metastasis in prostate cancer: a systematic review and meta-analysis by Yanghuang Zheng, Yuelin Du, Biao Zhang, Helin Zhang, Panfeng Shang, Zizhen Hou

“…No threshold effect was detected. The subgroup analysis showed that the least absolute shrinkage and selection operator regression algorithm had the higher diagnostic sensitivity, with a pooled sensitivity of 0.96 (95% CI [0.90 - 1.00]) (p = 0.02), while the random forest algorithm was the opposite, with a pooled sensitivity of 0.48 (95% CI [0.16 - 0.80]) (p = 0.01). …”
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Assessment of the clinical efficacy of the heart spectrum blood pressure monitor for diagnosis of atrial fibrillation: An unblinded clinical trial. by Wei-Fong Kao, Sen-Kuang Hou, Chun-Yao Huang, Chun-Chieh Chao, Chung-Chih Cheng, Yi-Jung Chen

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Diagnostics of chronic exercise-induced urticaria in a child (a case report) by D. O. Yartseva, S. M. Nedelska

“…Total IgE was increased to 100.5 IU/ml, increased levels of specific IgE to cat allergen (41.13 кU/l), serum ß-lactoglobulin of cow’s milk (2.95 кU/l) and lamb meat (0.41 кU/l) were detected. Autoserum test was positive (histamine – papula of 5 mm, hyperemia of 15 mm, negative control – 0, patient’s serum – papula of 16.5 mm, hyperemia of 24 mm); thyroid autoantibodies and thyroid hormone levels were within normal ranges. …”
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Anisakis Sensitization in the Croatian fish processing workers: Behavioral instead of occupational risk factors? by Ana Jerončić, Diana Nonković, Anamarija Vrbatović, Jerko Hrabar, Ivana Bušelić, Victoria Martínez-Sernández, Santiago A Lojo Rocamonde, Florencio M Ubeira, Sonja Jaman, Esma Čečuk Jeličić, Marco Amati, Maria Angeles Gomez Morales, Boris Lukšić, Ivona Mladineo

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Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop by Muhammad Aryanda, Ita Arfyanti, Yulindawati Yulindawati

“…Although Logistic Regression achieved higher accuracy (92.6%), it failed to detect negative sentiment. The findings highlight the potential and limitations of K-NN for sentiment analysis in underexplored MSME contexts like vape retail. …”
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