Effect of interaction between resistance training and fasting on removal of creatinine and glomerular filtration in sedentary women with abdominal obesity by Ameneh Mohammadi, mahmoud Nikseresht, Mahnaz Omidi

“…Pearson correlation coefficient showed that creatinine clearance and glomerular filtration rate had an inverse and significant relation with age, while these variables were directly correlated with body mass index. …”
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Real-Time Estimation Methods for the Frequency Support Function Based on a Virtual Wind Turbine by Bo-Hyun Woo, Ye-Chan Kim, Seung-Ho Song

“…As a result, wind turbines are now required to provide frequency support functions. To enable accurate analysis of the operational characteristics of wind turbines equipped with such control functions, this study proposes a virtual wind turbine model that estimates the operating point of a wind turbine in real-time under the assumption that frequency support functions are not performed. …”
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Enhancing Efficient Data Transmission in IBM WebSphere Using Relational Data eXchange (RDX) Mechanism and Tandem Queue by Suthanthira Raj Devi Latha, Subramani Palani Niranjan, Sorin Vlase, Maria Luminita Scutaru

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The Association between Physical Activity and Cognitive Function: Data from the China Health and Nutrition Survey by Qiankun Huang, Jing Zhao, Weiqing Jiang, Wenfeng Wang

“…The association between the variables and the cognitive function score was expressed as β coefficient with 95% confidence intervals (CIs). …”
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Evaluation of a seed drill for barley and vetch sowing as a function of varying seeding ratios by Arzu Yazgi, Tuncay Gunhan, Behcet Kir, Gulcan Demiroglu Topcu, Erdem Aykas

“…The seed flow and distribution uniformity across the rows were determined within laboratory conditions, while other response variables were assessed in the field conditions. Results The coefficient of variation values of flow evenness for barley and vetch were found to be 1.0–5.5% and 0.3–2.1%, respectively. …”
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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…This study proposes an approach to enhance the efficiency of supervised vegetation mapping in complex landscapes, integrating Multivariate Functional Principal Component Analysis (MFPCA) applied to the Sentinel-2 time series with drone-based ground truthing. …”
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Strategies to scale up the technical, allocative and economic efficiency of major millet growing farmers in India – A primal system approach by Kannan Thomas Felix, K.B. Ramappa, Padma Lakshmi Govindarajan

“…Millet farming, a sustainable and economically viable option for farmers, providing resilience against climate variability and market fluctuations. Despite the increasing significance of millets in agriculture, there is a notable research gap concerning the efficiency of their cultivation and its impact on input demand and costs. …”
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Effective factors on variations of wheat production in climatic regions of Fars province by leyla sharifi, saeed bazgeer, hosain mohmmadi, alireza darbaneh astaneh, mostafa karimi ahmadabad

“…Independent variables in the translog function explain 92% of the changes in wheat production in Fars province.…”
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Enhancing Indian summer monsoon prediction: Deep learning approach for skillful long-lead forecasts of rainfall by Kalpesh R. Patil, Takeshi Doi, J.V. Ratnam, Swadhin K. Behera

“…An ensemble of JJAS rainfall predictions using the CNN model with a unique custom function showed high skills in predicting ISMR at a long-lead time of 12 months. …”
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Expression and functional characterization of an anti-CD22 scFv targeting B-cell malignancies by Monireh Gholizadeh, Shahriyar Abdoli, Shafieeh Mansoori, Arash Arashkia, Farhad Riazi-Rad, Amir Ali Hamidieh, Mohammad Nouri, Zahra Sharifzadeh

“…Background and purpose: Single-chain variable fragments (scFvs) offer advantages over full-length monoclonal antibodies in cancer therapy, including reduced size, lower production costs, and easier handling. …”
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Exact Solutions for Strong Nonlinear Oscillators with Linear Damping by Livija Cveticanin

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Free vibration analysis of graphene-reinforced FGM microplates under different boundary conditions by Nguyen Van Loi, Chu Thanh Binh

“…The microplate is made from functionally graded material (FGM) and reinforced with graphene nanoplatelets (GPLs). …”
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A New Unconditionally Stable Method for Telegraph Equation Based on Associated Hermite Orthogonal Functions by Di Zhang, Fusheng Peng, Xiaoping Miao

“…The present paper proposes a new unconditionally stable method to solve telegraph equation by using associated Hermite (AH) orthogonal functions. Unlike other numerical approaches, the time variables in the given equation can be handled analytically by AH basis functions. …”
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A functional data analysis approach for modelling frequency‐modulated tonal sounds in animal communication by Maria Silvia Labriola, Petra Oswine Pammer, Giulia Pedrazzi, Giancarlo Giacomini, Giovanna Jona Lasinio, Daniela Silvia Pace

“…Estimated functional coefficients of the regression model suggested that different contextual factors have a significant effect on the FM patterns of SWs. …”
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Investigation of Withdrawal, Controlling Difficulty, Disorder in Functionality, and Social Isolation in Problematic Internet Use in Adolescents by Sema Bayraktar, Merve Boşat Sönmez

“…In addition, the study determined that the relationship between impairment of functioning and social Isolation was significant. When the coefficients related to path analysis were tested, it was found that the effect of impairment of functioning on deprivation was not statistically significant, whereas the effect of control difficulty and social isolation on deprivation was statistically significant. …”
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Depth-dependent contributions of various vascular zones to cerebral autoregulation and functional hyperemia: An in-silico analysis. by Hadi Esfandi, Mahshad Javidan, Rozalyn M Anderson, Ramin Pashaie

“…However, temporal alterations in capillary diameter contribute moderately to cerebral autoregulation and minimally to functional hyperemia. In addition, hemodynamic analysis shows that while hemodynamics within capillaries remain relatively stable across all cortical depths throughout the entire autoregulation range, significant variability in hemodynamics can be observed within the first few branch orders of precapillary arterioles or transitional zone vessels. …”
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A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events by Alireza Fakhim Babaei, Jafar Tanha, Mohammad Ali Balafar, Seyedehsan Roshan

“…Detecting sleep apnea accurately and efficiently presents several challenges, including variability in physiological signals among individuals and class imbalance for apnea events. …”
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Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

“…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
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On Numerical Characteristics of а Simplex and their Estimates by M. V. Nevskii, A. Yu. Ukhalov

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Relationship between functional movement screening (FMS) scores and balance and strength performance in young male athletes by Şükran İribalcı, Mert Aydoğmuş, Serkan Revan, Harun Genç

“…Shapiro-Wilk test was applied to determine if the data were normally distributed, Pearson’s correlation coefficient analysis was used measure linear correlation, and Spearman’s rank correlation coefficient (ρ) was determined to measure the strength and direction of correlation between variables. …”
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