Financial development in the countries of the regional comprehensive economic partnership by Thi Phuong Thuy Duong

“…These indicators represent each group of intermediaries, financial institutions and financial market groups in terms of depth, efficiency and stability, helping to reflect all aspects of the financial system in a holistic way. …”
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ANALYSIS OF SOME ECONOMIC VARIABLES IN SLOVENIAN FARMS USING FADN DATASET by Nicola GALLUZZO

“…Summing up, funds allocated by the first and second pillar of the CAP have acted on the farm level of income hence, the European Union by specific funds should implement the level of investments stimulating also the level of land capital pivotal in getting better the technical and economic efficiency in Slovenian farms.…”
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Research on Temperature Prediction of EMU Transformer Based onMultiple Nonlinear Regression by YAN Youjun

“…At present, the use of EMU data is mainly based on quantitative observation and qualitative analysis, lacking of accurate state prediction. …”
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An Introduction to Complex Systems Science and Its Applications by Alexander F. Siegenfeld, Yaneer Bar-Yam

“…The standard assumptions that underlie many conceptual and quantitative frameworks do not hold for many complex physical, biological, and social systems. …”
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Monetary Policy and Current Trends in the Development of the Banking Sector in Azerbaijan by E. N. Veisov

“…The quantitative and qualitative parameters of the development of banks, as well as the monetary policy carried out by the Central Bank of Azerbaijan are analyzed. …”
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THE EFFECTS OF FINANCIAL INNOVATION IN THE AGRIBUSINESS LANDSCAPE: ASSESSING THE IMPACT OF BEHAVIORAL FACTORS ON THE ACCEPTABILITY OF E-FISCALIZATION by Denisa CANI, Rezear KOLAJ, Ekaterina ARABSKA

“…Through digitization and transparency of tax monitoring and reporting, e–fiscalization has gained global traction for its potential for innovation and efficiency. The research focuses on the specific dynamics of fiscal innovation in the agribusiness landscape in Albania, aiming to identify the behavioral typology of agribusiness operators and its impact on acceptance or resistance to e–fiscalization initiatives and relying on a holistic review of the research literature and the qualitative-quantitative method, through the analysis and findings from the database obtained via the survey of agri–operators. …”
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A framework for the formulation of security issues in the field of e-learning using Meta-Synthesis method by Abouzar Arabsorkhi, Afshin Khodabandeh, Laleh Tashakori

“…Consequently, this is an inevitable necessity attention to accuracy and efficiency payment issues and security concerns to managers and decision makers. …”
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Comparison of post mastectomy cicatrization among women with or without diabetes mellitus by Marislei Sanches Panobianco, Bárbara Alexandre Lespinassi Sampaio, Edilaine Assunção Caetano, Aline Inocenti, Thais de Oliveira Gozzo

“…This a Cross-sectional quantitative study which aimed to compare the efficiency of the cicatrization process of post-surgical mastectomy, among women who have diabetes mellitus or not. …”
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Innovative horizons: the impact of AI on entrepreneurial performance by Hanan Alsharah

“…This study contributes to businesses and policymakers aiming to leverage AI for both operational efficiency and creative innovation, providing a framework that connects AI implementation to successful entrepreneurial performance.…”
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Fitts Law as a Restrained Random Walk by Villermaux, Emmanuel

“…Fitts law, one of the rare quantitative relations in psychology, describes the time it takes for a human being to aim at and hit a target of a given size, starting from a given remote position. …”
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Исследование конструктивных параметров системы ротационных эндодонтических инструментов

“…The aim of the present work is a quantitative study and analysis of the FlexMaster instruments design features. …”
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Lost-minimum post-training parameter quantization method for convolutional neural network by Fan ZHANG, Yun HUANG, Zizhuo FANG, Wei GUO

“…To solve the problem that that no dataset is available for model quantization in data-sensitive scenarios, a model quantization method without using data sets was proposed.Firstly, according to the parameters of batch normalized layer and the distribution characteristics of image data, the simulated input data was obtained by error minimization method.Then, by studying the characteristics of data rounding, a factor dynamic rounding method based on loss minimization was proposed.Through quantitative experiments on classification models such as GhostNet and target detection models such as M2Det, the effectiveness of the proposed quantification method for image classification and target detection models was verified.The experimental results show that the proposed quantization method can reduce the model size by about 75%, effectively reduce the power loss and improve the computing efficiency while basically maintaining the accuracy of the original model.…”
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Hospital discharge planning in cardiac care: study protocol for a mixed-methods study on the implementation, influencing factors and quality of care in Germany by Udo Schneider, Gabriele Meyer, Dirk Horenkamp-Sonntag, Vera Winter, Kai Svane Blume, Steffen Fleischer, Raphaele Bartels, Lena Imhof, Karl Blum, Susan Gottschalk, Robin Heber, Bjoern Andrew Remppis, Jonas Schreyoegg

“…Quantitative analyses will be based on primary data from hospital and patient surveys combined with secondary data from health insurance claims and hospital quality reports. …”
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Integrative pigGTEx resource with GWAS reveals genetic mechanism underlying semen quality in boars by Xuehua Li, Qing Lin, Zhanwei Zhuang, Kai Rao, Zhili Li, Xiuguo Shang, Panjie Xia, Lin Zhu, Zhe Zhang, Yunxiang Zhao

“…In the past, boar breeding has mostly emphasized characteristics such as lean meat percentage, feed conversion efficiency, and growth rate, while overlooking the genetic improvement of reproductive traits. …”
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Employment of Graduates of Pedagogical Universities: Statistics vs Mythology by L. M. Nurieva, S. G. Kiselev

“…In the current research, it is proved that the allegations of low efficiency of the system of teacher education are untenable. …”
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Developing a Model for Measuring and Evaluating the Role of Commodities as Hedging Tools in Investor Portfolios by Zahra Mohammadi Pourmazaheri, Babak Jamshidinavid, Mehrdad Ghanbari, Alireza Moradi

“…In portfolio construction, adding a single commodity to a quantitative stock portfolio resulted in low returns, offset by reduced fluctuations. …”
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Accuracy Evaluation of Multi-Source Precipitation Data in Mountain Flood Simulation in Guoning Village， Xiahe County by Wubin HUANG, Jing FU, Runxia GUO, Junxia ZHANG, Yu LEI

“…From 22:00 on September 6， 2023 to 04:00 （Beijing Time） on September 7， Xiahe County in Gansu Province experienced severe convective weather， with short-term heavy rainfall in some areas， causing flash floods in Guoning Village， Xiahe County， resulting in casualties.In this study， the characteristics of Radar Quantitative Precipitation Estimation （Radar-QPE）， FengYun 4B Quantitative Precipitation Estimation （FY4B-QPE）， and CMA Multi-source Precipitation Analysis （CMPA） precipitation products were contrastive analyzed based on meteorological station observations.These precipitation data were used to drive the hydrodynamic hydrological model and evaluate the effect of different precipitation data in the flash flood simulation.The results showed that： （1） Among the 12-hour cumulative precipitation amounts， CMPA demonstrated higher accuracy in terms of the position of large value areas and differences in local precipitation levels； Radar-QPE was closer to AWS （Automatic Weather Station） in terms of cumulative precipitation level but showed significant differences in spatial distribution； FY4B-QPE overestimated the cumulative precipitation level by 33.8%.（2） In terms of hourly distribution， CMPA was most similar to AWS in terms of temporal evolution， spatial distribution， and precipitation level； Radar-QPE's peak values were smaller， and the peak times were lagged， with negative deviations in precipitation being dominant； FY4B-QPE's peak values and peak times were consistent with reality， but there were deviations in the start and end times of precipitation， with positive deviations in precipitation being dominant.（3） In the hydrological simulation study， CMPA， Radar-QPE， and FY4B-QPE all overestimated water levels， but the timing of water level peaks was more consistent with AWS.CMPA performed best in terms of RMSE （Root Mean Square Error）， NSE （Nash Efficiency Coefficient）， and Bias （Relative Deviation）， followed by Radar-QPE， and FY4B-QPE performed relatively poorly.Although existing site-observed precipitation cannot fully meet the needs of research and early warning for small and medium scale mountain floods， the high precision of CMPA data could effectively supplement the deficiencies of traditional meteorological observation stations to some extent.Meanwhile， the algorithms and accuracy of Radar-QPE and FY4B-QPE needed to be further improved and enhanced.…”
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Comparative analysis of anthocyanin content in various tomato samples in connection with breeding by E. A. Dzhos, M. I. Mamedov, O. N. Pyshnaya, N. A. Golubkina, O. V. Verba, A. A. Matyukina

“…As a result of the research, the quantitative content of anthocyanins in fruits of dif- ferent tomato specimens has been studied, on which the dietary and medicinal quality of the fruits depends. …”
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Deep learning system for the auxiliary diagnosis of thyroid eye disease: evaluation of ocular inflammation, eyelid retraction, and eye movement disorder by Yu Han, Jun Xie, Xiaoyu Li, Xinying Xu, Bin Sun, Han Liu, Chunfang Yan

“…ObjectiveThis study aims to construct a semantic segmentation-based auxiliary diagnostic model for thyroid eye disease (TED) focusing on eyelid retraction, eye movement disorders, ocular inflammation related to Clinical Activity Score (CAS), facilitating rapid and non-invasive diagnosis for suspected TED patients and enhancing the efficiency of treatment and diagnosis.MethodsData were collected from 153 subjects exhibiting symptoms of eyelid retraction, eye movement disorders, and ocular inflammation related to CAS. …”
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The Impact of Leadership, Organizational Culture, And Organizational Structure on the Performance of the Finance Department at Aruna Senggigi Hotel by Lalu Imam Hardiansyah, Lalu Takdir Jumaidi

“…The research employs a quantitative approach with Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis. …”
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