Hubungan Tekanan Darah Ibu Hamil Aterm Dengan Berat Badan Lahir di RSUP Dr. M. Djamil Padang by Feby Andammori, Nur Indrawaty Lipoeto, Yusrawati Yusrawati

“…<br />Kata kunci: tekanan darah, berat badan lahir, ibu hamil<br />Abstract<br />High and low level of systolic and diastolic blood pressure in pregnancy has impact to birth weight. …”
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Development and validation of the Information Literacy Measurement Scale (ILMS-34) in Chinese public health practitioners by Hui Li, Ke-Ying Li, Xia-Rong Hu, Xuan Hong, Yan-Ting He, Hua-Wei Xiong, Yi-Li Zhang

“…There were significant differences in each item between the high and low-scoring groups (p < 0.001), indicating good item discrimination. …”
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Consistent Estimators of the Population Covariance Matrix and Its Reparameterizations by Chia-Hsuan Tsai, Ming-Tien Tsai

“…In the final section, we discuss the situation in which <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo>></mo><mi>n</mi></mrow></semantics></math></inline-formula>, especially for high-dimensional low-sample size categorical data models in which <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo>></mo><mo>></mo><mi>n</mi></mrow></semantics></math></inline-formula>.…”
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Adult education and training for the development of problem-solving skills by I. A. Korshunov, S. V. Lubnikov, N. N. Shirkova

“…Based on the results of the study the authors presented a sociological portrait of a Russian worker with a high and low level of problem-solving skills. The revealed patterns allowed the authors to form an idea of the system of organisational conditions of enterprises that ensure maximum involvement of employees in the constant updating of their knowledge and skills, and contribute to the effective use of the problems-solving skill in the process of labour activity.   …”
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The correlation between serum MHR and NLR and the severity of coronary lesions in NSTE-ACS patients of different genders by Yanping Yang, Xiaobing Lv, Kai Tan, Kai Li, Shaohua Li, Xia Meng, Yunyun Chen, Fuqing Wang, Hui Xin

“…Finally, the receiver operating characteristic (ROC) curve was used to calculate the diagnostic value of MHR and NLR for predicting high-risk SYNTAX scores in male NSTE-ACS patients.ResultsSixteen distinct factors differed between the high- and low-risk groups in male NSTE-ACS patients, a significantly higher number than female NSTE-ACS patients. …”
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An explainable Bi-LSTM model for winter wheat yield prediction by Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee

“…Further, we demonstrated that XAI methods can also be used to understand the decision-making process of the models, to understand instances such as high- and low-yield samples, to find possible explanations for erroneous predictions, and to identify regions impacted by particular stress. …”
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Comprehensive analysis reveals cholesterol metabolism-related signature for predicting prognosis and guiding individualized treatment of glioma by Dengfeng Lu, Fei Wang, Yayi Yang, Aojie Duan, Yubo Ren, Yun Feng, Haiying Teng, Zhouqing Chen, Xiaoou Sun, Zhong Wang

“…Patients were divided into high- and low-risk groups based on the median cholesterol metabolic index (CMI). …”
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Assessing the detection and interaction of Lawsonia intracellularis and porcine circovirus 2 in low and high-performance wean-to-finish pig groups in different porcine reproductive... by Guilherme Cezar, Fernando L. Leite, Eduardo Fano, Reid Phillips, John Waddell, Kate Dion, Edison Magalhães, Giovani Trevisan, Gustavo Silva, Daniel C. Linhares

“…L. intracellularis and PCV2 were detected in most groups, with significant differences in detection rates between high and low-performance groups. Groups with relatively high genomic copies of PCV2 and L. intracellularis that had PRRSV detection presented higher mortality rates (15.75%).DiscussionThis study expanded our understanding of PRRSV, PCV2, and L. intracellularis co-detections and their impact on swine populations.…”
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An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study by Yingfeng Ge, Jianan Yin, Caie Chen, Shuo Yang, Yuduan Han, Chonglong Ding, Jiaming Zheng, Yifan Zheng, Jinxin Zhang

“…The performance of each model was assessed using 10-fold cross-validation and evaluated in terms of accuracy (ACC), area under the curve (AUC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), and F1-score.ResultsCompared to SMCI patients, PMCI patients exhibit a trend of “high to low” frequency shift, decreased complexity, and a disconnection phenomenon in EEG signals. …”
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EGR1 mRNA expression levels and polymorphisms are associated with slaughter performance in chickens by Mao Ye, Xiaohuan Chao, Chutian Ye, Lijin Guo, Zhexia Fan, Xuerong Ma, Aijun Liu, Weiming Liang, Shuya Chen, Cheng Fang, Xiquan Zhang, Qingbin Luo

“…In our previous study, we conducted transcriptome sequencing on chicken breast tissues with high and low breast muscle rates and found higher early growth response protein 1 (EGR1) expression in breast tissues with a low breast muscle ratio, thus hypothesizing that the EGR1 gene is involved in the growth and development process of chicken muscle tissues. …”
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Global burden and cross-country inequalities of nutritional deficiencies in adults aged 65 years and older, 1990–2021: population-based study using the GBD 2021 by Shuang Liang, Shao-Zhi Xi, Jia-Yi Liu, Gui-Chun Tang, Wei-Guang Zhang, Xin-Ru Guo, Chen Yang, Chun Zhang, Guang-Yan Cai

“…Inequality in the burden of protein-energy malnutrition and iodine deficiency between high- and low-income countries narrowed, while inequality for vitamin A and dietary iron deficiencies remained stable. …”
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Variations in Water Stress and Its Driving Factors in the Yellow River Basin by Haodong Lyu, Jianmin Qiao, Gonghuan Fang, Wenting Liang, Zidong Tang, Furong Lv, Qin Zhang, Zewei Qiu, Gengning Huang

“…The local Moran’s index revealed that the WSI of 446 catchments was predominantly characterized by high–high and low–low clusters, suggesting a strong positive correlation in the WSI among these catchments. …”
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Assessing the comparative effectiveness of ECHO and coaching implementation strategies in a jail/provider MOUD implementation trial by Todd Molfenter, Jessica Vechinski, Jee-Seon Kim, Jingru Zhang, Lionel Meng, Jessica Tveit, Lynn Madden, Faye S. Taxman

“…ECHO demonstrated that MOUD use did not significantly increase compared to coaching across MOUDs in the intervention phase (p = .517). High- and low-dose coaching showed no significant differences in MOUD use during the intervention phase (p = .124). …”
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Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury by Xiya Wang, Wenqing Ji, Shuxing Wei, Zhong Dai, Xinzhen Gao, Xue Mei, Shubin Guo

“…The impact of MAP trajectories on AKI occurrence in heart failure patients was analyzed using Cox proportional hazards models, competing risk models, and doubly robust estimation methods.Results A cohort of 8,502 HF patients was analyzed, with their 24-hour MAP trajectories categorized into five groups: Low MAP group (Class 1), Medium MAP group (Class 2), Low-medium MAP group (Class 3), High-to-low MAP group (Class 4), and High MAP group (Class 5). …”
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Association between early dietary patterns and cardiometabolic health at age 8: a confirmatory analysis of the European Childhood Obesity Project by Mariona Gispert-Llauradó, Joaquin Escribano, Natalia Ferré, Veit Grote, Berthold Koletzko, Gina Ambrosini, Elvira Verduci, Dariusz Gruszfeld, Annick Xhonneux, Veronica Luque

“…This study aimed to examine the association between dietary patterns at both 2 and 8 years of age, explaining the maximum variability of high- and low-quality fats, sugars, and fibre, and cardiometabolic markers at age 8 years. …”
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Professional Action Competence in Education for Sustainability Among Pre-service Physical Education Teachers: A Mixed Method Approach by Valérian Cece, Thomas Royet, Olivier Vors, Vanessa Lentillon-Kaestner

“…Four profiles of PE pre-service teachers were established based on their PACesd levels (high score, moderate to high score, low to moderate score, low score). This result highlights the heterogeneity in EfS competences. …”
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Neutrophil Extracellular Trap Components Associate with Infarct Size, Ventricular Function, and Clinical Outcome in STEMI by Ragnhild Helseth, Christian Shetelig, Geir Øystein Andersen, Miriam Sjåstad Langseth, Shanmuganathan Limalanathan, Trine B. Opstad, Harald Arnesen, Pavel Hoffmann, Jan Eritsland, Ingebjørg Seljeflot

“…Clinical events were registered after 12 months. dsDNA and MPO-DNA levels were highest before PCI, with reduced levels thereafter (all p≤0.02). Patients with high vs. low day 1 dsDNA levels (>median; 366 ng/ml) more frequently had MVO, larger area at risk, larger infarct size acutely and after 4 months, and lower myocardial salvage index (all p<0.03). …”
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The Predictive Value of Time-Varying Noninvasive Scores on Long-Term Prognosis of NAFLD in South Korea by Sung Won Chung, Min Kyung Park, Xiao Zhang, Tongtong Wang, Thomas Jemielita, Gail Fernandes, Samuel S. Engel, Heejoon Jang, Yun Bin Lee, Eun Ju Cho, Jeong-Hoon Lee, Su Jong Yu, Jung-Hwan Yoon, Yoon Jun Kim

“…Higher baseline NFS (high versus low probability for advanced fibrosis groups) was associated with higher risk of mortality (adjusted hazard ratio (aHR), (95% confidence interval (CI)), 2.80, [1.39–5.63]) and liver-related outcomes (3.70, [1.27–10.78]). …”
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Rumen DNA virome and its relationship with feed efficiency in dairy cows by Xiaohan Liu, Yifan Tang, Hongyi Chen, Jian-Xin Liu, Hui-Zeng Sun

“…Significant differences in viral populations were observed between high and low FE groups across multiple taxonomic levels (P < 0.05). …”
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Construction and validation of a prognostic model for NK/T-cell lymphoma based on random survival forest algorithm by HUANG Zhen, HUANG Zhen, WU Yazhou

“…Then the patients were divided into high- and low-risk groups based on the median risk score, and survival curve was plotted for comparison. …”
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