Variation Characteristics and Driving Factors of Water Level in Fuxian Lake from 1953 to 2021 by YANG Wenchun, ZHU Wenxiang, GU Guihua

“…In recent years,the continuous decline of water level in Fuxian Lake has attracted the attention of all walks of life.In order to explore the water level change characteristics and driving mechanism of Fuxian Lake,based on the daily observation data of Fuxian lake water level station from 1953 to 2021,combined with the precipitation and evaporation data of the basin over the years,the water storage data of the lake and relevant investigations,the Kendall rank test method,water balance method and relative evaluation method are adopted for analysis.The result is:① From 1953 to 2021,the average annual water level of Fuxian Lake was 1 722.02 m;From 1950s to 2010s,the interdecadal variation characteristics of water level in Fuxian Lake are roughly as follows:Rise→Fall→Fall→Rise→Big rise→Big fall;The water level of Fuxian Lake shows an insignificant downward trend.② The low water level of Fuxian Lake occurs in May,and the high water level basically occurs in October (occasionally in September).③ The period from 2010 to 2021 is the lowest water level period in the history of Fuxian Lake.The average water level and the average water level process within the year are below the legal minimum operating water level.The assurance rate of annual,monthly and daily average water level meeting the statutory minimum operating water level is 33.3%,34.7% and 35.9% respectively.④ Since 2000,human activities have been the main factor causing the water level of Fuxian Lake to rise and fall significantly.…”
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Developing E-LKPD for Junior High School Students : Enhancing Explanatory Text Writing Skills with Liveworksheets Support by Evi Merita Sari, Gallant Karunia Assidik

“…The data collection process was carried out by delivering material in the form of PPT which aims to explain the explanatory text material. …”
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Statistical Analysis of the Forensic Autopsies, Performed in the Department of Forensic Medicine of University Hospital Pleven for the Period 2009-2013 (A Preliminary Report) by Dancho Dekov, Ivan Ivanov, Sergey Kostadinov, Savelina Popovska, Petko Lisaev, Plamen Dorovski

“…The preliminary analyses of the studied data lead to several conclusions. The number of forensic autopsies was found to be progressively decreasing, but the road traffic death rate remained unchanged. …”
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Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

“…Given the advancements in technology, User Equipment (UE) can now process multiple computing tasks simultaneously, and since UEs can have multiple data sources that are suitable for various FL tasks, multiple tasks FL could be a promising way to respond to different application requests at the same time. …”
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Palynofacies and Sporomorph EcoGroups-based paleoecology implications for the Dalichai Formation, Andariyeh, central Alborz by Firoozeh Hashemi Yazdi, Neda Bashiri, fereshteh sajjadi

“…Abstract The Dalichai Formation at the Andariyeh stratigraphic section in the northeast of Andariyeh village, central Alborz Mountains, was studied by using analyses of the Sporomorph EcoGroups (SEGs) data and associated plant communities and palynofacies in order to determine its paleoecology conditions. …”
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Weather forecast for simulation models of agroecosystem production by Eugenija Žiniauskaitė, Vitalijus Denisovas

“… The forecast of the agroecosystem fate including the rate of crop development and expected yield are considered as the basic tasks of the dynamic agroecological modelling system that has been developed at the University of Klaipėda. …”
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Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors by G. S. Pinto, H. Bernini, C. G. Messias, O. A. S. Silva, P. W. Cunha, P. S. Victorino, F. Morelli

“…This study aims to validate the active fire data processed by INPE&rsquo;s <em>Queimadas</em> Program at <em>Serra da Canastra</em> National Park during the first semester of 2023. …”
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Establishing and Validating a Predictive Model for the Risk of In-Hospital Mortality Post-Resuscitation in Patients with Sudden Death, as Well as Conducting Clinical Analysis Resea... by Yu Li, Zhen Chen, Xin Guo, Yifan Liang, Jueyan Wang, Jinglei Li, Xianting Yang, Fen Ai

“…Method: This study is a retrospective analysis of data that were collected prospectively from a standardized clinical database. …”
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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements by Yi Yu, Teng Lv

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Cytoarchitectonic features of the neocortex, archicortex and amygdala of white rats after a 20-minute occlusion of the common carotid arteries by V. A. Akulinin, D. B. Avdeev, A. S. Stepanov, A. V. Gorbunova, S. S. Stepanov, I. G. Tsuskman

“…Hypertrophy of mature astrocytes was manifested by the increase in the diameter, degree of branching and length of their processes.Conclusion. The obtained data are considered as a phenomenon of ischemic preconditioning and activation of protective processes in neuro-glio-vascular microcomplexes.…”
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Labor markets during COVID-19: gaps and challenges in Latin America by Oscar A. Martínez-Martínez, Javier Reyes-Martínez, Andrés Iván Mideros Mora, Andrea Carolina Sánchez Pilco, Camila Lucia Rodríguez Salme

“…MethodsUsing data from Argentina, Bolivia, Chile, Colombia, Ecuador, Guatemala, Mexico, Peru, and Uruguay, the formality rate (τ) was analyzed, which was calculated using a weighted average between the formal employment rates of the number (i) of economic sectors (p) in a specific period (t).ResultsThe results suggest that the weighted labor formality rate increased in the countries of the region. …”
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Crystallization and particle size distribution of hydrothermally synthesized SAPO-34: an experimental and population balance study by Mona Torabi Verki, Rouein Halladj, Sajjad Habibzadeh, Fariba Marzpour Shalmani

“…Specifically, the nucleation rate, growth rate, crystallization profiles, and mean size of the resulting product crystals of SAPO-34 were evaluated for the first time. …”
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EXPERIMENTAL IMPACT ASSESSMENT OF PARAMETERS PERTAINING TO BLANK TWO-DIMENSIONAL CIRCULAR MOTION ON INTENSITY OF ITS CUTTING AND QUALITY OF MACHINED SURFACE by M. G. Kiselev, A. V. Drozdov, S. G. Monich, D. A. Yamnaya

“…Moreover, the rate of positive impact of the specimen circulatory motion on the quality of its cross-cut surface becomes higher while increasing vertical velocity component of its sliding relative to disc surface.…”
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Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal C... by Sandip Mane, Rajkumar Bhimgonda Patil, Sameer Al-Dahidi

“…The MCFA is a sustainable high-velocity pulsed jet technique that has emerged as an eco-friendly approach for reducing the environmental impact and improving surface integrity in machining processes. The influence of key machining parameters, such as cutting speed, feed rate, and depth of cut, on the performance indicators was modeled using the response surface methodology (RSM) and the artificial neural network (ANN). …”
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Adsorption of Sinapine from Rapeseed Protein Production Effluent to Cation Exchange Resins by Fatima Zahra Kdah, Arnaud Aymes, Luna Beau, Armelle Ropars, Jean-Pol Frippiat, Romain Kapel

“…The adsorption kinetics followed a pseudo-second-order model while the isotherm data better fitted the Langmuir model. The ΔG°, ΔH°, and ΔS° values (−25.834 kJ·mol⁻¹, −24.428 kJ·mol⁻¹, and 0.004 kJ·mol⁻¹·K⁻¹) revealed that the adsorption process was spontaneous and exothermic. …”
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Reservoir Operating Rules to Create Effective Fish Migration Passages in a Reservoir by B. H. Yang, X. A. Yin, Z. J. Gao, H. R. Liu, Z. H. Xu

“…We used data from China's Danjiangkou Reservoir to test the effectiveness of the proposed method. …”
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RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification by Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam, M. Ashraful Amin

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“Beyond the Finish Line” the Epidemiology of Injury and Illness in Professional Cycling: Insights from a Year-Long Prospective Study by Thomas Fallon, Rory Nolan, John Peters, Neil Heron

“…All data were processed on a Macintosh computer using the Microsoft Office and R statistics packages epi tools, binom.test function, and ggplot. …”
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Research and Analysis of Thermal Parameter of Million-kilowatt Sodium-cooled Fast Reactor by DING Tongwei1, CHEN Wei2, WANG Wenjie3

“…The model was validated using two sets of actual operational data from the CEFR at 40% rated power and 100% rated power, and the relative error of electric power was found to be less than 1.3%. …”
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Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed by Chen Yang, Pengfei Jin, Yan Chen

“…Abstract Long short-term memory (LSTM) networks are widely used in biomechanical data analysis but have the significant limitations in interpretability and decision transparency. …”
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