Cardiac magnetic resonance left atrioventricular coupling index as a prognostic tool in hypertrophic cardiomyopathy by Jinyang Wen, Junhao Tu, Xinwei Tao, Yuanyuan Tang, Zhaoxia Yang, Ziyi Pan, Yi Luo, Chunlin Xiang, Dazhong Tang, Lu Huang, Liming Xia

“…Results Thirty‐four HCM patients reached the endpoint during a median follow‐up time of 60 [interquartile range (50–68)] months. …”
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Predictive Significance of Admission-Day Blood Routine-Derived Indices for 30-Day Mortality Risk in Elderly Patients with Bacterial Pneumonia by Huang X, Huang L, Zhao S, Yuan L, Wang X, Tang G, Yuan K, Xiao M

“…Furthermore, Spearman correlation analysis was employed to explore the relationships among the variables. The Receiver Operating Characteristic (ROC) curve was used to evaluate the predictive value of each index for 30-day mortality in elderly patients with bacterial pneumonia. …”
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Perbandingan Performa Arimax-Garch Dan Lstm Pada Data Harga Penutupan Saham PT Aneka Tambang Tbk (ANTM.JK) by Dhiya Khalishah Tsany Suwarso, Akbar Rizki, Salsabila Dwi Rahmi, Hakim Zoelva Mahesa, Windi Gunawan, Zafira Ilma Fitri, Yenni Angraini, Adelia Putri, Muhammad Rizky Nurhambali

“…The results show that LSTM has better performance with a MAPE value of 4.425%, this value is smaller than the best model ARIMAX(2,1,2)-GARCH(1,1) with a MAPE of 7.326%. …”
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Serum C‐Terminal Agrin Fragment With Acute and Long‐Term Exercise and Angiotensin II Type I Receptor Blockade by Casper Soendenbroe, Mette F. Heisterberg, Jesper L. Andersen, Michael Kjaer, Abigail L. Mackey

“…Conclusions Serum CAF was unaffected by 16 weeks of EX but increased by LOS supplementation. 1EX, performed with one leg, acutely lowered serum CAF, albeit with substantial interindividual variability. These findings collectively identify novel stimuli of serum CAF turnover—drug interaction and time from last exercise bout to blood sampling. …”
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Research on Fast Spectrum Resonance Calculation Method Based on Subgroup Method by YU Rongjun, ZHAO Shouzhi, YANG Rui, SONG Yingyun, ZHANG Chong, HUO Xingkai

“…One of the key steps of the subgroup method was to solve the subgroup parameters, combined with the particle swarm optimization to solve the subgroup parameters of the pseudo resonance nuclide and the subgroup parameters of each sub-resonance nuclide composed of it, and the obtained subgroup parameters had high precision, and at the same time, due to the constraints added to the value range of the variables in the solution process, the shortcomings of the traditional method such as numerical instability and initial value sensitivity could be effectively avoided. …”
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Application of fuzzy logic in decision-making process for relocation of floating net cages in river fish farming by R. Pramana, B.Y. Suprapto, Z. Nawawi

“…The output of the decision-making program correlated with the issued warnings by the water quality warning indicators when the pH value exceeded the lower threshold limit.CONCLUSION: The fuzzy logic method implemented in the Python program for decision-making regarding the relocation of floating net cages in river fish farming revealed the fluctuating water quality conditions of the Musi River within a specific time duration. …”
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Meta-Analysis of Acupuncture on Physical and Activity Participation Related Functions of Children with Autism Spectrum Disorders by CHEN Qiang, KAN Mengfan, JIANG Xiaoyu, LIU Huifen, SUN Wenyu, BI Hongyan

“…The heterogeneity was determined according to the <italic>P</italic> value and <italic>I</italic>² value. If <italic>P</italic>≥0.10 and <italic>I</italic>²≤50%, there was no heterogeneity or small heterogeneity among the studies, a fixed effect model would be used. …”
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Scheduling of Mixed Fleet Passing Through River Bottleneck in Multiple Ways by De-Chang Li, Hua-Long Yang

“…To handle the nonlinear terms in the model, an outer approximation technique is applied to linearize the model while ensuring the approximation error remains controlled. The optimal value range of the nonlinear variables is also proven to ensure solution speed. …”
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Mitochondrial Dysfunction Contributes to Sustained Muscle Loss After Cardiac Surgery: A Prospective Observational Study by Ashley N. Thomas, Antonis Kalakoutas, Martin Yates, John Yap, Julie Sanders, Paul Kemp, Mark J. D. Griffiths

“…ABSTRACT Background As a major systemic insult, cardiac surgery can lead to significant muscle loss, which increases the time to recovery as well as being correlated with mortality. …”
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Spatiotemporal water quality data reconstruction: A tensor factorization framework by Xuke Wu, Kun Shan, Lan Wang, Jingkai Wang, Mingsheng Shang

“…While traditional imputation methods fail to adequately capture complex spatiotemporal dependencies among water quality variables, this study proposes a novel nonnegative tensor factorization (NTF) model designed to reconstruct missing values by effectively modeling variable-site-time triad interactions. …”
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Minor population of NK lymphocytes with CD19 coexpression by A. A. Kalashnikova, N. V. Bychkova

“…CD56+CD19+dim lymphocytes can reach noticeable values thus altering the results of studies performed by flow cytometry. …”
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Association between weight-adjusted-waist index and long-term prognostic outcomes in cardiovascular disease patients: results from the NHANES 1999–2018 study by Hanbin Li, Wen Zhong, Hongxin Cheng, Shiqi Wang, Ran Li, Lu Wang, Chengqi He, Quan Wei

“…WWI (cm/√kg) is a continuous variable and calculated as waist circumference (WC, cm) divided by square root of body weight (kg). …”
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Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose by Qiong Zou, Borui Chen, Yang Zhang, Xi Wu, Yi Wan, Changsheng Chen

“…First, an LME model was built to model interindividual differences, analyse the factors affecting FPG levels, compare the AIC and BIC values to screen the optimal model, and predict FPG levels. …”
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Evaluation of MODIS and VIIRS BRDF Parameter Differences and Their Impacts on the Derived Indices by Chenxia Wang, Ziti Jiao, Yaowei Feng, Jing Guo, Zhilong Li, Ge Gao, Zheyou Tan, Fangwen Yang, Sizhe Chen, Xin Dong

“…In addition, both MODIS and VIIRS have a large proportion of zero-valued pixels (volumetric and geometric-optical parameter layers), whereas the spatiotemporal distribution of zero-valued pixels in VIIRS is more widespread. …”
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Investigation on the Role of Artificial Intelligence in Measurement System by P. A. Rezvy, Venkata Lakshmi Narayana Komanapalli

“…When transmitters measure process variables like temperature, pressure, flow, level, and quality in process industries, due to wear and tear, ambient conditions, process variations and electromagnetic interference, measured values always deviate from their actual value, and controlled variables will start to oscillate near setpoint. …”
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Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…Vehicle detection in satellite images is a challenging task due to the variability in scale and resolution, complex background, and variability in object appearance. …”
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Metabolic modulation to improve MSC expansion and therapeutic potential for articular cartilage repair by Ching Ann Tee, Daniel Ninio Roxby, Rashidah Othman, Vinitha Denslin, Kiesar Sideeq Bhat, Zheng Yang, Jongyoon Han, Lisa Tucker-Kellogg, Laurie A. Boyer

“…However, treatment outcomes are variable due to donor-to-donor variability as well as intrapopulation heterogeneity and unstandardized MSC manufacturing protocols. …”
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Criteria for Assessing Exposure to Biomechanical Risk Factors: A Research-to-Practice Guide—Part 1: General Issues and Manual Material Handling by Francesca Graziosi, Roberta Bonfiglioli, Francesco Decataldo, Francesco Saverio Violante

“…An in-depth knowledge of each method to evaluate biomechanical risk factors is needed to effectively employ them in the field, together with a robust understanding of their effective predictive value and limitations. In Part 1, some general issues relevant to biomechanical risk assessment are discussed, and the method for assessing manual material handling after receiving more robust validation data is reviewed (Revised NIOSH Lifting Equation), together with a discussion about variability of tasks. …”
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Measurement Error Affects Risk Estimates for Recruitment to the Hudson River Stock of Striped Bass by Dennis J. Dunning, Quentin E. Ross, Stephan B. Munch, Lev R. Ginzburg

“…Risk was defined as the probability that recruitment of age-1+ striped bass would decline by 80% or more, relative to the equilibrium value, at least once during the time periods examined (1, 5, 10, and 15 years). …”
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Impact of the Quality of the Institutional Structure of the Economy on Income Inequality of Households: Results of a Cross-National Study by M. L. Dorofeev

“…This dependency can take on both negative and positive values. At the same time, analyzing the full sample of countries, as well as in quartile groups classified by the level of income inequality, we did not reveal any pattern or special sign by which the dependence between the studied variables becomes more pronounced and distant from zero. …”
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