Analysis of Risk Factors and Development of a Predictive Model for Delirium in ICU Patients: Construction, Validation, and Clinical Implications by Li X, Zhang W, Wang T, Qiu Z, Sun X, Qu W, Zhang G

“…Logistic regression analysis revealed that the Glasgow Coma Scale (GCS) score (OR=0.421, 95% CI: 0.355– 0.501, P< 0.001), blood urea nitrogen (BUN) (OR=1.169, 95% CI: 1.014– 1.348, P=0.031), emergency surgery (OR=2.735, 95% CI: 1.42– 5.268, P=0.003), use of sedative medications (OR=3.816, 95% CI: 1.968– 7.397, P< 0.001), and postoperative status following major cardiovascular surgery (OR=2.124, 95% CI: 1.205– 3.745, P=0.009) were identified as independent risk factors for delirium in the ICU.Conclusion: The predictive model developed in this study for the occurrence of delirium in ICU patients has been validated, demonstrating high predictive efficacy and offering significant clinical early warning guidance.Keywords: delirium, intensive care unit, prediction model, risk factor, nomogram…”
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Development of a novel Haemabiome tool for the high-throughput analysis of haemopathogen species co-infections in African livestock by Erhan Yalcindag, Erhan Yalcindag, Deepali Vasoya, Johanneke D. Hemmink, Johanneke D. Hemmink, Johanneke D. Hemmink, Benedict Karani, Benedict Karani, Luis Enrique Hernandez Castro, Luis Enrique Hernandez Castro, Rebecca Callaby, Rebecca Callaby, Stella Mazeri, Edith Paxton, Timothy K. Connelley, Timothy K. Connelley, Phil Toye, Phil Toye, Liam J. Morrison, Liam J. Morrison, Barend Mark de C. Bronsvoort, Barend Mark de C. Bronsvoort

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A building operational carbon emissions database of 362 Chinese cities: Construction process and spatiotemporal characteristic analysis by Qi Wang, Xinyu Jia, Yang Zhao, Hao Zhou, Xinghui Zhang, Borong Lin, Cong Zhang

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Landslide susceptibility assessment in scarce-data regions using remote sensing data by Edier Vicente Aristizábal-Giraldo, Diana Ruiz-Vásquez

“…However, landslide susceptibility assessments are often limited due to the scarcity of reliable observations. Due to this lack of data, especially in developing countries, remote sensing is used for landslide susceptibility analysis. …”
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About a concept of creating a social network users information aggregation and data processing system by L. V. Rudikova, O. R. Myslivec

“…The development of a general concept and implementation of a data-storage and analysis system for practice oriented data, one of the subsystems of which is an analytical system for the accumulation and analysis of data from users of social networks, is topical. …”
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Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots by Zuoya Liu, Harri Kaartinen, Teemu Hakala, Heikki Hyyti, Juha Hyyppä, Antero Kukko, Ruizhi Chen

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Development of a Metabolic Syndrome Prediction Model Using HOMA-IR and Multivariate Factors by An-Sik Heo, Jung-Chul Lee

“…Data from 6134 participants in the 2019 Korea National Health and Nutrition Examination Survey were analyzed. …”
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Vision-Based Damage Detection Method Using Multi-Scale Local Information Entropy and Data Fusion by Yiming Zhang, Zili Xu, Guang Li, Cun Xin

“…Moreover, a data fusion technique for multi-scale damage information is developed to further mitigate the noise-induced uncertainty and pinpoint damage locations. …”
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Approximate Bayesian Computation for a Dual-Failure-Modes Models and Its Application to Failure Times Data by Mustapha Muhammad, Badamasi Abba, Jinsen Xiao

“…In this study, comprehensive approximate Bayesian computation (ABC) technique is explored, and develop for an innovative model. We practically demonstrate approximate Bayesian computation (ABC)-Gibbs scheme using Kolmogorov-Smirnov as distance function; this method is a simulation-based scheme, which the explicit formulation of the likelihood function is not required, hence, suitable for a complex model or big data, where the “accept-reject” mechanism is required for the posterior computation. …”
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Innovation, Human capital and Economic growth in Ethiopia: A systematic review and empirical analysis by Sisay Tola Yadete, Birku Reta Entele, Junseok Hwang

“…The aim of this study is to evaluate the contribution of human capital, innovation (patent as a proxy) and R&D on Gross Domestic Product (GDP) growth rate through systematic review and empirical analysis. An autoregressive distributed lag (ARDL) model was used to analyze the data extracted from the World Bank database and world innovation patent office data set from year 1990 to 2023. …”
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CONCEPTUAL MODEL OF SYSTEM ANALYSIS OF THE QUALITY OF VOCATIONAL TEACHER TRAINING by Oleksandr Derevyanchuk

“…The article presents a conceptual model of system analysis of the quality of vocational teacher training, which is developed taking into account current challenges in vocational education and the need to increase the efficiency of pedagogical staff training. …”
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Long-term analysis of land cover changes resulting from mining activities: Strzelin case study (S–W Poland) by K. Romańczukiewicz, J. Górniak-Zimroz

“…To achieve this, a methodological framework was developed that combines historical cartographic sources with geospatial data, enabling a reconstruction of post-mining land transformations. …”
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Analysis of Meteorological and Soil Parameters for Predicting Ecosystem State Dynamics by Lyazat Naizabayeva, Saberikamarposhti Morteza, Nurgul Seilova

“…This study presents a comprehensive quantitative analysis of the interplay between meteorological variables and soil conditions over the period 2018–2023 in the Almaty region. …”
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Communiquer sur le patrimoine naturel. Discours de presse locale dans les Ramières de la Drôme, Rhône-Alpes (1981-2008) by Émeline Comby, Yves-François Le Lay

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Network analysis reveals causal relationships among individual background risk factors leading to influenza susceptibility by Akihide Terada, Kenji Fujimoto, Kazuyoshi Kise, Kenta Fujiwara, Eiichiro Uchino, Yutaka Mizuma, Yoshinori Nishioku, Kenzo Takahashi, Ken Itoh, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yukihiro Fujita, Yasushi Okuno, Yoshinori Tamada

“…Thus, our network-based analysis may contribute to the development of personalized disease prevention and treatment approaches.…”
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Estimation of econometric indicators on the basis of the regression analysis (on the example of food consumption by the population of the Arkhangelsk region) by S. A. Kochkin

“…For data processing the packet of the statistical analysis of SPSS was used, and the solution of objectives was performed by methods of the correlation and regression analysis, and also by means of check of distributions of the researched quantities to a normality and the analysis of a regression residuals. …”
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Numerical simulation of early-age shrinkage effects on RC member deflections and cracking development by P. Bernardi, R. Cerioni, E. Michelini, A. Sirico

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SCIENTIFIC AND METHODOLOGICAL SUPPORT OF FINANCIAL EXPRESS ANALYSIS OF SMALL INDUSTRIAL ENTERPRISES OF UKRAINE by Liudmyla Sokolova, Viktor Dyuzhev, Ganna Veriasova, Oleksandr Kurdenko, Esknder Suliaman Salty Al-Fakhore

“…The article solves the following tasks: study of the state of small industrial enterprises and their role in the development of Ukraine's economy, definition of "financial supervision", development of algorithm for financial express analysis of small industrial enterprises, choice of directions for financial express analysis of small industrial enterprises financial supervision, the formation of a bank of input data on four components, testing of scientific and methodological support on the example of a particular enterprise. …”
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Development of a prognostic prediction model based on damage-associated molecular pattern for colorectal cancer applying bulk RNA-seq analysis by Yang Wu, Yangjing Xu, Yongtong Chen, Wei Xu, Minwu Yao, Wencong Ding

“…The DAMP score was calculated based on the TCGA cohort data using the “ssGSEA” method. Differentially expressed genes (DEGs) identified by the “limma” package were compressed by performing Lasso Cox regression analysis using the “glmnet” package. …”
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Decision-making and data quality: Applying fraud response strategies to clean survey panel data by Amy Harder, Lendel K. Narine, Stacey Stearns

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