Application of Machine Learning Models for the Early Detection of Metritis in Dairy Cows Based on Physiological, Behavioural and Milk Quality Indicators by Karina Džermeikaitė, Justina Krištolaitytė, Ramūnas Antanaitis

“…The NN model demonstrated the highest overall performance (accuracy = 96.1%, AUC = 96.3%, MCC = 0.79), indicating strong capability in distinguishing both healthy and diseased animals. …”
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Surgical management of intraventricular hemorrhage and posthemorrhagic hydrocephalus in premature infants – single center experience by David Krahulik, Martin Wita, Vanda Volkova, Jan Halek, Jan Krahulik, Filip Blazek

“…IVH was graded using the modified Papile classification. Clinical data, imaging findings, and surgical outcomes were collected. …”
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Consistency Analysis of Practice Orientation of the Healthy Enterprise Program in China by Min Yang, Liping Huang, Chunling Peng, Yonglin Luo, Fangfei Li, Xinyang Yu

“…Enterprises were categorized into high and low-risk groups based on the classification and management of occupational injury risks. …”
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Enhanced Conformer-Based Speech Recognition via Model Fusion and Adaptive Decoding with Dynamic Rescoring by Junhao Geng, Dongyao Jia, Zihao He, Nengkai Wu, Ziqi Li

“…Experimental results demonstrate that the proposed method achieves word error rates (WERs) of 3.92% and 4.07% on the development and test sets, respectively, significantly improving over single-model and traditional decoding methods. …”
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The clinical manifestation and diagnostic features of Kawasaki-like phenotypes in pediatric multisystem inflammatory syndrome: a comparative retrospective study in Ukraine by Nataliia Bodnarchuk-Sokhatska, Halyna Pavlyshyn, Kateryna Kozak, Iryna Avramenko

“…Further research is necessary to refine classification criteria and establish effective long-term monitoring strategies for affected children.…”
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The clinical role of daily blood pressure monitoring for the management of patients at the ambulatory stage by O. S. Kulbachuk, Ye. V. Sid, O. V. Soloviov, A. V. Piskun

“…The main contribution of ABPM to the diagnosis and treatment of hypertension is the cross-classification between office and ambulatory BP measurement. …”
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Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course by Handityo Aulia Putra, Kaechang Park, Kaechang Park, Fumio Yamashita

“…Regional cerebral gray matter (GM) volume may serve as a biomarker for such decline, but its predictive value in real-world driving contexts remains unclear.MethodsWe enrolled 94 cognitively healthy older drivers (45 males, 49 females; mean age 77.66 ± 3.67 years) who completed a standardized driving assessment using actual vehicles on a closed-circuit course. …”
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The incidence， characteristics， and risk factors of non-suicidal self-injury behavior in adolescent patients with mental disorders in Wenzhou City， Zhejiang Province by MA Chuchu, YE Xinwu, HUANG Haixiao

“…Based on the definitions in the Third Edition of the Chinese Classification Scheme and Diagnostic Standards for Mental Disorders (CCMD-3), whether the patients had experienced NSSI within the past year was evaluated. …”
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Coronal Plane Alignment of the Knee (CPAK) distribution in a diverse Asian population: Influence of ethnicity, sex and bilaterality by Azmi Rahman, Merrill Lee, Lenice Tan, Sabine Wong, Michael Saturnino, Glen Purnomo, Ming Han Lincoln Liow, Keng Jin Darren Tay, Hee Nee Pang, Seng Jin Yeo

“…The Coronal Plane Alignment of the Knee (CPAK) classification system was introduced in 2021 to describe native alignment, helping to characterise the effect of different TKA alignment techniques. …”
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Association of peripheral CD8+ T cell activation with disease activity and treatment resistance in systemic lupus erythematosus by Yoshiya Tanaka, Hiroaki Tanaka, Satoshi Kubo, Yuya Fujita, Shingo Nakayamada, Yusuke Miyazaki, Koshiro Sonomoto

“…The primary endpoint was the comparison of peripheral CD8+ T cell subset characteristics between patients and HCs.Results Patients with SLE (mean age, 42.3 years; women, 89% and mean disease duration, 112.8 months) had significantly higher proportions of naïve CD8+ T cells (CCR7+CD45RA+), CD8+ terminally differentiated effector memory cells (CCR7−CD45RA+) and activated CD8+ T cells (CD38+HLA-DR+) in peripheral blood mononuclear cells than HCs (p<0.001). …”
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Event-based landslide inventory through very high-resolution optical images and field surveys by P. Confuorto, R. Franceschini, L. Scarpitta, N. Casagli, S. Morelli, F. Raspini, V. Tofani, S. Moretti

“…Semi-automatic approaches, including NDVI (Normalized Difference Vegetation Index) change detection and segmentation/classification, were employed to assist visual photointerpretation. …”
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Characterisation of morbidity in a COPD hospital cohort by A. Duarte-de-Araújo, P. Teixeira, V. Hespanhol, J. Correia-de-Sousa

“…The distribution of patients according to GOLD 2017 stage and classification was respectively 9.9%, 41.9%, 35.0% and 13.2% from 1 to 4 and 23.1%, 39.6%, 2.3% and 35.0% from GOLD A to D. …”
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Comparison of a machine learning model with a conventional rule-based selective dry cow therapy algorithm for detection of intramammary infections by S.M. Rowe, E. Zhang, S.M. Godden, A.K. Vasquez, D.V. Nydam

“…We conducted an observational test characteristics study using a dataset of 3,645 cows approaching dry-off from 68 US dairy herds. …”
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The influence of COVID-19 on the antibiotic consumption in a tertiary care hospital in Belgrade (Serbia) by Milos Gostimirovic, Predrag Savic, Teodora Vitorovic, Jovana Rajkovic, Ana Bukarica, Ljiljana Gojkovic Bukarica

“…We compared consumption by the specific ATC and AWaRe classification. PD was calculated as a ration of the number of inpatient days to the total number of patient admissions. …”
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Unraveling regional variability in Dengue outbreaks in Brazil: leveraging the Moving Epidemics Method (MEM) and climate data to optimize vector control strategies. by Ayrton Sena Gouveia, Marcelo Ferreira da Costa Gomes, Iasmim Ferreira de Almeida, Raquel Martins Lana, Leonardo Soares Bastos, Lucas Monteiro Bianchi, Sara de Souza Oliveira, Eduardo Correa Araujo, Danielle Andreza da Cruz Ferreira, Dalila Machado Botelho Oliveira, Vinicius Barbosa Godinho, Luã Bida Vacaro, Thais Irene Souza Riback, Oswaldo Gonçalves Cruz, Flávio Codeço Coelho, Cláudia Torres Codeço

“…Region 2a (Northeast) has the lowest precipitation and a later onset, in March. Region 3 (Southeast) presents higher altitude, and early outbreak onset in February; while Region 4 (South) has a lower temperature, with onset in March. …”
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Diffuse infantile hepatic haemangioma and consumptive hypothyroidism: a clinical case with anaemia that raises suspicion by Giovanni Corsello, Elisa Costantini, Marco Sciveres, Adele Figuccia, Maria Cristina Maggio

“…Abstract Background Infantile hepatic haemangiomas are benign liver tumours, with growth and regression phases of the tumour, corresponding to those of infantile cutaneous haemangiomas. The classification and the pathogenesis need further insights. …”
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A randomized controlled trial of teriparatide for accelerating bone union and improving clinical outcomes in patients with pertrochanteric fracture fixation by Chotetawan Tanavalee, Srihatach Ngarmukos, Chavarin Amarase, Saran Tantavisut, Nonn Jaruthien, Aree Tanavalee

“…There were no statistically significant differences in baseline characteristics, including age, sex, fracture classification, affected side, HHS, BMD, and blood test results. …”
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Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit by Mengke Ma, Jiatong Liu, Caiyun Li, Yingxue Chen, Huishu Jia, Aijie Hou, Hongzeng Xu

“…The CatBoost model showed significant enhancements in classification accuracy when compared to the conventional revised cardiac risk index (RCRI) score. …”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The adaptive learning strategy employs an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ϵ</mi></semantics></math></inline-formula>-greedy exploration-exploitation mechanism with an exponential decay rate to enhance convergence in dynamic WSN environments. …”
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The impact of feature selection techniques on effort‐aware defect prediction: An empirical study by Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li

“…Previous studies indicated that some feature selection methods could improve the performance of Classification‐Based Defect Prediction (CBDP) models, and the Correlation‐based feature subset selection method with the Best First strategy (CorBF) performed the best. …”
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