Uncovering a novel SERPING1 pathogenic variant: insights into the aggregation of C1-INH in hereditary angioedema by Lingxi Jiang, Chao Dai, Suyang Duan, Tingting Wang, Chunbao Xie, Luhan Zhang, Zimeng Ye, Xiumei Ma, Yi Shi

“…Despite its severity, there is a notable lack of effective methods for predicting and preventing HAE attacks. This study aims to thoroughly investigate the underlying pathological mechanisms of HAE and identify potential biomarkers that could aid in its prediction and prevention. …”
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Risk Values of Weight and Body Mass Index for Chest Wall Thickness in Patients Requiring Needle Thoracostomy Decompression by Chia-Hung Hsu, Tzu-Yin Lin, Ju-Chi Ou, Jiann Ruey Ong, Hon-Ping Ma

“…Finally, the prediction models were built by using the bootstrap method. …”
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The potential of supplementing compound organic trace elements at lower levels in Chinese yellow- feathered broiler diets, part II: Impacts on growth performance, gut health, intes... by Xiaoyan Nie, Fei Zhao, Yucheng Yin, Qi Lu, Yang Dai, Rui Wang, Yiwen Ji, Huihua Zhang, Cui Zhu

“…In addition, the abundance of Eubacterium_coprostanoligenes_group (family) was positively correlated with the mRNA of claudin-1, Bcl-2, and TGF-β. PICRUST prediction of microbial function revealed that OTM treatment enriched the pathways related to amino acid metabolism and DNA replication. …”
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The prognostic role of vasculoendothelial growth factor A in patients with ST-segment elevation acute myocardial infarction during 6-months follow-up period by N.P. Kopytsya, I.M. Кutya, I.V. Rodionova, Ya.V. Hilova

“…The prognostic model for the development of adverse events during 6 months follow-up is constructed, with inclusion of the VEGF-A, LDL-C concentration and complications in the acute period of the disease, increases the accuracy of prediction power predominantly because of higher specificity.…”
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Mapping neutron biological effectiveness for DNA damage induction as a function of incident energy and depth in a human sized phantom by Alice Mentana, Virgilio Quaresima, Pavel Kundrát, Isabella Guardamagna, Leonardo Lonati, Ombretta Iaria, Andrea Previtali, Giorgia Santi Amantini, Luca Lunati, Virginia Boretti, Livio Narici, Luca Di Fino, Luca Bocchini, Claudio Cipriani, Giorgio Baiocco

“…To this aim, we combined the simulation of radiation transport through biological matter, performed with the Monte Carlo code PHITS, and the prediction of DNA damage using analytical formulas, which ground on a large database of biophysical radiation track structure simulations performed with the code PARTRAC. …”
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Whole-transcriptome analysis reveals the characteristics of intramuscular fat circRNA expression and its associated network in grazing yaks of different months of age under cold st... by Yaqian Liu, Yonggang Sun, Yincang Han, Weiqin Ding, Shengwei Jin, Jianyu Chen, Fajie Gou

“…Results: The results showed that 352 differential circRNAs, 86 differential miRNAs and 3981 differential mRNAs were found. miRNAs and mRNAs network regulation maps were successfully constructed through gene expression correlation analysis and target gene prediction. Conclusions: Taking the intersection of the predicted circRNA target genes with the differential miRNAs for intramuscular fat in yaks of different months of age, we obtained two candidate ceRNA pairs that might be related to intramuscular fat deposition in yaks, and found that bta-let-7i might be related to fat deposition in yaks and might be regulated by X_85287959_85291068, and that X_85287959_85291068 could be a candidate circRNA to enhance the quality of yak meat. …”
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Hyoid bone-based sex discrimination among Egyptians using a multidetector computed tomography: discriminant function analysis, meta-analysis, and artificial intelligence-assisted s... by Afaf Abdelkader, Susan A. Ali, Ahmed Abdeen, Ehab S. Taher, Asmaa Y. A. Hussein, Mamdouh Eldesoqui, Mohamed Abdo, Liana Fericean, Bănăţean-Dunea Ioan, Samah F. Ibrahim, Ashraf M. Said, Darine Amin, Elturabi E. Ebrahim, Amany M. Allam, Mihaela Ostan, Khaled A. Bayoumi, Tabinda Hasan, Ekramy M. Elmorsy

“…Initially, the dataset was subjected to discriminant analysis to predict sex and the critical variables associated with sexual dimorphism. …”
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Precision foraging: Bats in organic desert palm plantations hunt where it is most needed by Danilo Russo, Fabiana Soprano, Luca Cistrone, Adi Einav, Jessica Schäckermann, Ioannis Ekklisiarchos, Carmi Korine

“…While species richness remained stable across habitats, according to our prediction, activity levels varied according to habitat type and wind conditions. …”
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Lipid trajectories improve risk models for Alzheimer’s disease and mild cognitive impairment by Bruce A. Chase, Roberta Frigerio, Chad J. Yucus, Smita Patel, Demetrius Maraganore, Alan R. Sanders, Jubao Duan, Katerina Markopoulou

“…In this retrospective, case-control study, we tested the hypothesis that blood-lipid concentrations during the decade prior to cognitive symptom onset can inform risk prediction for Alzheimer's disease (AD) and stable mild cognitive impairment (MCI). …”
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Simulation and experimental study on olive drop injury by Weike Lan, Haotian Mu, Di Xin, Shijia Pan, Yuncai Yan, Wen Gao, Zijie Niu, Dongyan Zhang, Jun Zhang, Yongjie Cui

“…In this study, vibration harvesting drop tests and finite element simulations were performed on the olive variety ''Leccio'' to optimize the collision parameters to evaluate and predict the damage level and damage resistance of olives. …”
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Calculation Method of Overburden Damage Height Based on Fracture Mechanics Analysis of Soft and Hard Rock Layers by Liang Chen, Shaowu Fan, Can Zhao, Lang Zhang, Zhiheng Cheng

“…The calculation accuracy of this method meets the engineering error requirements and can be applied to the prediction of overburden damage height in near horizontal coal seam mining.…”
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sB7H3 in Children with Acute Appendicitis: Its Diagnostic Value and Association with Histological Findings by Xiaochen Du, Yan Chen, Jie Zhu, Zhenjiang Bai, Jun Hua, Ying Li, Haitao Lv, Guangbo Zhang

“…The combination of sB7H3 and CRP might improve the prediction of perforated appendicitis.…”
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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…The main insights generated in the bibliometric analysis were (i) sustainable animal production changed from unidisciplinary science to multidisciplinary science linked to agricultural, environmental and engineering sciences, mainly to genetics and computing; (ii) the concept of sustainable animal production emerged from animal welfare and climate change concepts found in UN's 2030 Agenda; (iii) omics sciences, greenhouse gases, energy efficiency and animal welfare are the main keywords for bibliometric analyses in future studies related to sustainable animal production in the coming centuries; (iii) prediction and classification analyses, i.e., supervised machine learning models used as main tools in animal production; (iv) residual feed intake applied to measure sustainable feed efficiency in animal farming in the past and nowadays; and (v) The United States, China, Brazil and Australia are the main countries publishing studies on sustainability in animal production, but only China has been gaining prominence in publications in this field, in recent years, and it will turn this country into an emerging leader in future publications on this topic. …”
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Study on the Effect of Isotropic Initial Stress on the Anchoring Performance of Self-Expanding Bolts by Jie Liu, Hongya Li, Yunzhou Li, Yunan Yang, Tao Sun, Rui Song, Rongqi Sun

“…It is pointed out that this effect can greatly improve the ductility of the anchoring system and the ultimate energy consumption value of damage. A prediction model for the ultimate pull-out force of self-expanding bolts is established. …”
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Identifying the function of novel cross-species microRNAs from the excretory-secretory products of Angiostrongylus cantonensis fifth-stage larvae by Kuang-Yao Chen, Yi-Hsuan Lin, Chien-Ju Cheng, Yi-Hao Huang, Sheng-Yu Lin, Chyi-Liang Chen, Cheng-Hsun Chiu

“…Novel microRNAs were initially detected, and their expression was found. Moreover, the prediction results showed that these secreted microRNAs may regulate Wnt and mTOR signaling. …”
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Composite cardiac computed tomography angiography score for improved risk assessment in chronic coronary syndromes by Subin Lee, Alexander Giesen, Dimitrios Mouselimis, Loris Weichsel, Andreas A. Giannopoulos, Max Nunninger, Matthias Renker, Florian André, Norbert Frey, Grigorios Korosoglou

“…Cox-proportional regression demonstrated that the Agatston score, the number of high-risk plaques and CAD-RADS predicted the primary endpoint, independent of age and conventional cardiovascular risk factors. …”
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Response surface methodology and adaptive neuro-fuzzy inference system for adsorption of reactive orange 16 by hydrochar by J. Oliver Paul Nayagam, K. Prasanna

“…BACKGROUND AND OBJECTIVES: The prediction models, response surface methodology and adaptive neuro-fuzzy inference system are utilized in this study. …”
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Multimorbidity is associated with risk of incident venous thromboembolism – A nationwide proof-of-concept study by Jonatan Ahrén, MirNabi Pirouzifard, Björn Holmquist, Jan Sundquist, Kristina Sundquist, Bengt Zöller

“…Further studies will determine the usefulness of multimorbidity for VTE prediction in different clinical settings.…”
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Development and Validation of a Novel Classification System and Prognostic Model for Open Traumatic Brain Injury: A Multicenter Retrospective Study by Yuhui Chen, Li Chen, Liang Xian, Haibing Liu, Jiaxing Wang, Shaohuai Xia, Liangfeng Wei, Xuewei Xia, Shousen Wang

“…The calibration curve closely approximated the ideal curve, indicating strong predictive performance of the model. Conclusions The implementation of our proposed OTBI classification system and its use alongside the other prognostic factors identified here may improve the prediction of patient prognosis and aid in the selection of the most suitable treatment strategies.…”
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Analysis of runoff and sediment evolution and attribution in the source regions of the Yangtze and Yellow Rivers by Shu Xu, Tianling Qin, Xizhi Lv, Jie Lu, Jianming Feng, Haoyue Gao, Hanxiao Liu, Yuhui Yang

“…The vegetation in the region did not significantly reduce sediment under freeze-thaw conditions. The prediction results show that the runoff and sediment load in the region will continue to increase in the future. …”
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