Potential adverse effects of heavy metals in Ahvaz oil field by Sara Abbasi, Ali Afrous

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Analyzing Impact of Demographic Processes on Education System in the Republic of Tyva by E. A. Dolgikh, L. A. Davletshina

“…Results of the statistic analysis show that average annual population of the republic increased in 2022 in comparison with 2012. …”
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Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data by Nina Škrk Dolar, Katarina Čufar, Jernej Jevšenak

“…We also compared the maximum correlation coefficients using meteorological station data and gridded SLOCLIM data. The analysis was conducted using the dendroTools R package, incorporating data on daily and monthly average air temperatures and precipitation sums from the period 1960–2018. …”
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A Line-Source Approach for Simulating MammoWave Microwave Imaging Apparatus for Breast Lesion Detection by Navid Ghavami, Sandra Dudley, Mohammad Ghavami, Gianluigi Tiberi

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Optimization design of urban rainwater and flood drainage system based on SWMM by Cao Xihan

“…This model has been used for comprehensive optimization of urban rainwater and flood drainage systems. In the comparative analysis of the proposed coupling model, the standard deviation of the total overflow of the nodes was 65 million yuan. …”
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Understanding Media Performance Through Statistics: TV News Ratings in Romania by Ramona SĂSEANU, Andrei ZEGREAN, Florin GROSU

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Preliminary Study of Distribution of Soil Available Nutrients in Loquat <i>(Eriobotrya japonica)</i> Orchards and Their Responses to Environmental Factors Based on Path Analysis Mo... by Yue Zhao, Linzhong Gong, Furong Wang, Yong Liu, Xiaoyan Ai, Wei Zhu, Yang Zhang, Zhimeng Gan, Huaping He, Huiliang Wang

“…In this study, 220 soil surface-layer samples (0–20 cm) were collected in 2019 from loquat orchards in the mid-low mountain hilly areas of central China to explore the spatial distribution and variation of SANs, as well as the effects of environmental factors (including the topography, vegetation index, soil property, and climate) on SANs, using a path analysis model. The results showed that the available potassium (AK) and ammonium nitrogen (AN) levels exhibited a moderate average content, which was 123.14 mg·kg⁻¹ and 119.03 mg·kg⁻¹, respectively, whereas available phosphorus (AP) levels displayed a high average content (26.78 mg·kg⁻¹), and all three SANs showed an uneven spatial distributions. …”
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Reduction of subclinical acute cardiac injury through DIBH radiotherapy: a single-institution real-world clinical cohort analysis by Kun Zhang, Jing Shen, Yongguang Liang, Xiangyin Meng, Bo Yang, Jiabin Ma, Ke Hu, Jie Qiu, Xiaorong Hou, Fuquan Zhang

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Impact of dietary exogenous feed enzymes on performance, nutrient digestibility, and ruminal fermentation parameters in beef cattle: a meta-analysis by I.M. Ferreira, H.C. Mantovani, M. Vedovatto, A.S. Cardoso, A.A. Rodrigues, B.G.C. Homem, M.J.I. de Abreu, A.N. Rodrigues, L.H. Cursino Batista, J.S. de Oliveira, F.L. Viquez-Umana, A.H.P.M Assumpção, G.R. Siqueira, F.D. de Resende

“…Heterogeneity was assessed through meta-regression and subgroup analysis. Results indicated that EFE inclusion did not affect final BW (P ≥ 0.871), DM intake (P ≥ 0.467), average daily gain (P ≥ 0.145), or feed efficiency (P ≥ 0.417). …”
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Comprehensive Evaluation of Cogeneration Biogas Multiple Supply System for Rural Communities in Northwest China by Jinping Li, Xiaotong Han

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From past to future: bibliometric perspective of international research activity on lateral epicondylitis by Boshen Shu, Shufeng Zhang, Jian Gao, Lin Wang, Xiaohui Wang

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Сost assessment of HIV prophylaxis of mother to child transmission and family planning program among HIV infected women by A. V. Samarina

“…Analysis stated average family planning expenditure will be 3,69 K RUB despite 21,72 K RUB per patient without family planning service. …”
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Observation of Microstructural Characteristics on the Formability for AA 7075 Alloy Sheets Under Warm Forming Conditions by Chen Wan-Ling, Lee Rong-Shean

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Quantification of propionic acid from Scutellaria baicalensis roots by Eunjung Son, Ho Kyoung Kim, Hyun Sik Kim, Mee Ree Kim, Dong-Seon Kim

“…The developed method was applied to the analysis of S. baicalensis roots collected in South Korea and China. …”
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Coincidence Detection of Matched Filter Method Extraction Fetal by WANG Qian, HOU Shijang, ZHANG Zheng-xu, SONG Li-xin

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Managing Emotion In The Workplace: An Empirical Study With Enterprise Instant Messaging by Shih-Wen Ke, Chih-Fong Tsai, Yi-Jun Chen

“…However, few studies have used sentiment analysis to help employees manage their emotions and past studies mostly applied retrospective sentiment analysis on user-generated content as such as Twitter or the internal enterprise data. …”
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Fostering Productive Open Source Systems: Understanding the Impact of Collaborator Sentiment by Joonhaeng Lee, Keuntae Cho

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Effect of Mechanized Pedestrian Overpass to Reduce Accidents and Improve the Safety of vulnerable Pedestrians (Case Study: Esfahan) by Mohsen i Aboutalebi Esfahan, Alireza Afshari

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Construct validity of the instrument of digital skill literacy by Muhammad Harlanu, Agus Suryanto, Syahrul Ramadhan, Endang Wuryandini

“…Meanwhile, for the estimation of reliability, the researcher used the formula of Cronbach’s Alpha. The data analysis is supported by JAMOVI program. The result of research shows that a) the instrument of digital skill literacy has fulfilled the criteria of goodness of fit with the result; 1) x2 = 162 dan df = 143; 2) p-value = 0,133; 3) RMSEA 0,021; 4) SRMR = 0,026; 5) and CFI = 0,99; b) the result of CFA shows 20 items that is divided by the indicator such as functional skill beyond, creativity, collaboration, communication, the ability to find select information, critical thinking and evaluation, cultural and social understanding, E-Safety have fulfilled valid criteria with the average score of loading factor is 0.80. c) the reliability of literacy digital skill instrument shows the estimation value which is 0.943 or very reliable.…”
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Prediction of Magnetic Fields in Single-Phase Transformers Under Excitation Inrush Based on Machine Learning by Qingjun Peng, Hantao Du, Zezhong Zheng, Haowei Zhu, Yuhang Fang

“…Experimental results indicate that the mean absolute percentage error (MAPE) for predicting the transformer’s magnetic field using the deep neural network (DNN) model is 4.02%. The average time to obtain a single magnetic field data prediction is 0.41 s, which is 46.68 times faster than traditional finite element analysis (FEA) method, validating the effectiveness of machine learning for magnetic field prediction.…”
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