Статті в журналах: "Quantitative analyzes"

1

Kitaev, Konstantin A., Maksim B. Udalov, and Galina V. Benkovskaya. "Molecular-genetic methods of the investigation of trophic relations hips in the agrocoenosis." Ecological genetics 9, no. 4 (December 15, 2011): 15–24. http://dx.doi.org/10.17816/ecogen9415-24.

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The problem of determine quantitative predation rate is actuality for development methods of biocontrol. Many species of insect could not be investigated by traditional methods through features of its behavior and life-form, and we have must analyzed gut content of predators. Efficacy and cost of two methods analyzes (PCR and antibodies) are compared. Project of experiment with PCR -analyze is described and additional possibility of PCR -analyze is shown.

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Semenenko, Oleksandra. "FUNCTIONING OF TOKEN-QUANTITATIVES OF THE THEMATIC GROUP WATER OBJECTS WITH SEMANTICS OF MULTIPLICITY IN THE STRUCTURE OF POETIC DISCOURSE." Odessa National University Herald. Series: Philology 25, no. 2(22) (December 16, 2020): 74–81. http://dx.doi.org/10.18524/2307-8332.2020.2(22).235181.

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The article analyzes the structural and semantic features of the functioning in the poetic speech of the token-quantitatives of the thematic group of water objects with metaphorized meaning ‘many people, something’ in the indecomposable quantitative noun phrases. Peculiarities of interaction of paradigmatic and syntagmatic aspects of functioning of token-quantitatives of the function of indefinite quantification of thematic group of water objects, establishment of semantic environment of these indefinite- quantitative quantitatives, ie their realized semantic valence in combination with actualizers of this value It is proved that contextually carriers of quantitative semantics can become noun tokens ponds, floodplain, vortex. They do not have codified LSV to denote a large number, but under certain discursive conditions acquire such an ability. By frequency of use belong to the periphery.

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3

Shyian, Anatolii, and Liliia Nikiforova. "MODELS OF RISK MANAGEMENT USING MODERN INFORMATION TECHNOLOGIES." Actual Problems of Economics 1, no. 269 (November 2023): 74–83. http://dx.doi.org/10.32752/1993-6788-2023-1-269-74-83.

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Risk management requires the use of a number of mathematical models for calculation. To use these models, it is necessary to form large databases on the quantitative characteristics of both the studied objects/processes/systems and the surrounding environment and conditions of the task. Implementation of this program requires the use of modern information technologies. The article analyzes the methodology for the formation of quantitative risk values, which allows for the formation of approaches to a certain standard for performing risk analysis for complex situations. A system of mathematical models and methods is proposed that allow building a system of quantitative modeling of risk situations for a wide class of objects/processes/systems. The article provides a comparative analysis of deterministic and stochastic risk management models, analyzes the riskiness model of risk stratification and the model for detecting differences from white noise. For the latter, a comparison of the experimental and theoretical concepts of the models was made. Information technologies that help organizations effectively identify, analyze and manage various types of risks, while providing a reliable protection mechanism against possible threats, such as ERM Systems, GRC Platforms, IRM Solutions, Cybersecurity Risk Management, Project Risk Management and Data Risk, are highlighted and analyzed Management.

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4

Chen, Xianfeng. "Quantitative Analysis of Regional Luxury Brand Marketing Using Logit Model." Journal of Mathematics 2022 (February 10, 2022): 1–11. http://dx.doi.org/10.1155/2022/4870685.

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The luxury consumer market in my country is developing rapidly. However, due to the differences in the culture and consumer psychology of different regions in my country, the marketing status of luxury goods in my country will be different in different regions. Under the premise of analyzing consumer groups, it deeply analyzes the factors that affect the luxury consumption psychology of Chinese consumers, expounds this psychological state, and then analyzes the problems existing in my country’s luxury goods marketing. Finally, based on consumer psychology, suggestions on luxury marketing related to these issues have been put forward. In addition, quantitative research on marketing and how to psychologically open a new chapter of marketing in the luxury goods industry have always been the core themes that foreign marketing researchers will continue to explore for a long time. The logo model is an excellent analysis in this process. By introducing the principles of the logo model and applying this model to the empirical study of domestic consumers’ choice of a specific luxury brand, it is shown that the logo model can be used to analyze many problems in marketing research. More useful quantitative information is undoubtedly of great benefit to the academic research of marketing and the practice of marketing management.

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Song, Jiang, Zheng, Kong, Zhao, and Shen. "Dynamic Semi-Quantitative Risk Research in Chemical Plants." Processes 7, no. 11 (November 12, 2019): 849. http://dx.doi.org/10.3390/pr7110849.

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When a major accident occurs in a chemical industry park, it directly affects the personal safety of operators and neighboring residents and causes major losses; therefore, we should take measures to strengthen the management of chemical industry parks. This article proposes and analyzes a new dynamic semi-quantitative risk calculation model for chemical plants that can be applied digitally. This model provides a sustainable, standardized, and comprehensive management strategy for the safety management of chemical plants and chemical industry park managers. The model and its determined parameters were applied to the safety management of chemical companies within the chemical industry park of Quzhou, Zhejiang Province. From the point of view of the existing semi-quantitative model, the existing problems of the current model are analyzed, the current model is optimized, and a new dynamic semi-quantitative calculation model scheme is proposed. The new model uses an analytical hierarchy process targeting the factors affecting the risks in chemical plants, and chemical plant semi-quantitative dynamic calculation system consisting of the operator, process/equipment, risk, building environment, safety management, and domino effect, and the comprehensive risk of the chemical plant was calculated. The model is ultimately a real-time quantitative value, but its calculation process can compare and analyze the causes of high risk in a chemical plant as they relate to these six factors. Its implementation requires only software, which will greatly help chemical plant safety management.

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6

Jorgenson, Andrew K. "Unpacking International Power and the Ecological Footprints of Nations: A Quantitative Cross-National Study." Sociological Perspectives 48, no. 3 (September 2005): 383–402. http://dx.doi.org/10.1525/sop.2005.48.3.383.

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Although unsustainable natural resource consumption has recently garnered significant attention in macrosociology, empirical studies neglect to analyze the environmental impacts of different forms of international power dynamics. This study dissects international power into its various economic, military, and export dependence characteristics, and analyzes their independent effects on per-capita consumption of natural resources, measured as ecological footprints. Findings of the quantitative cross-national analyses indicate that economic power in the form of capital intensity, military technological power, and overall export dependence are the structural driving forces of per-capita resource consumption. The effects of military technological power and export dependence on percapita footprints are primarily direct, whereas the effect of capital intensity is both direct and indirect, partly mediated by its effects on levels of secondary education and domestic income inequality, both of which impact levels of per-capita consumption. The results advance our collective understanding of the complexities of international power, domestic conditions, and uneven environmental outcomes and illustrate the necessity for taking a more nuanced approach to analyses of anthropogenic degradation of the global ecological system.

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7

Lucarini, Massimo, Alessandra Durazzo, Ginevra Lombardi-Boccia, Eliana B. Souto, Francesca Cecchini, and Antonello Santini. "Wine Polyphenols and Health: Quantitative Research Literature Analysis." Applied Sciences 11, no. 11 (May 22, 2021): 4762. http://dx.doi.org/10.3390/app11114762.

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The relationship between wine polyphenols and health has been receiving growing scientific attention in the last few years. To confirm this point, the proposed paper identifies the major contributors to academic journals regarding the relationships between wine polyphenols and health. The endpoints of the proposed study are to provide a comprehensive overview and analysis of the literature regarding the relationships between wine polyphenol and health based on a bibliometric analysis. Bibliometric data were extracted from the Scopus online database using the search string TITLE-ABS-KEY (wine AND polyphenol* AND health OR (“french paradox” OR “cardiovascular disease*” OR atherosclerosis OR microbiota) and analyzed using the VOSviewer bibliometric software to generate bubble maps and to visualize the obtained results. This perspective paper analyzes: (i) the research themes addressing the relationships between wine polyphenols and health; (ii) the major contributors’ origin, e.g., country and/or regions; (iii) the institutions where the research is based; (iv) the authors; and (v) the type of paper. These results represent a useful tool to identify emerging research directions, collaboration networks, and suggestions for more in-depth literature searches.

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8

Wang, Ziyang. "Impact of quantitative easing on the U.S. economy." Highlights in Business, Economics and Management 24 (January 22, 2024): 2093–101. http://dx.doi.org/10.54097/2zpcj366.

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The US economy is facing instability due to high inflation and high credit card debt. Central banks have adopted quantitative easing (QE) as a monetary policy tool to promote economic growth and reduce the risk of deflation. QE measures originated from the 2008 global financial crisis to counter the threat of recession and deflation. This paper examines the impact of quantitative easing on the U.S. economy in four stages through data, image analysis and collection of related literature. Quantitative easing is a high-risk monetary policy. However, while quantitative easing stimulates the economy by lowering interest rates, it can also lead to inflation and borrowing pressures. This paper applies a combination of qualitative analysis and quantitative analysis, has been about the theory of monetary policy on the basis of the process of successive QE is summarized, and the Federal Reserve's aggressive interest rate hikes in the past two years to review. Finally, this paper analyzes the impact of QE, an unconventional monetary policy on the economy, and analyzes the future forecast. The research in this paper can be a certain reference for the monetary policy to cope with the crisis and unconventional situations.

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Rodrigo-Ilarri, Javier, María-Elena Rodrigo-Clavero, Claudia P. Romero, and Patricio Suárez-Romero. "Do Solid Waste Landfills Really Affect Land Use Change? Answers Using the Weighted Environmental Index (WEI)." Remote Sensing 14, no. 21 (November 1, 2022): 5502. http://dx.doi.org/10.3390/rs14215502.

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This research analyzes the impact on land use induced by urban solid waste landfills using the Weighted Environmental Index (WEI). The methodology used to analyze the environmental value of the landfill’s areas of influence is based on the analysis of the space-time variations of the WEI inside them. The application of this methodology allows identifying the areas where the environmental value has changed over time, providing a quantitative indicator that can be analyzed using statistical techniques. The methodology has been applied as a case study to analyze the influence over land use in all the municipal solid waste landfills currently in operation inside the Valencia Region (Spain). Results have been obtained using GIS techniques integrating the information provided by the Information System on Land Occupation in Spain land use database. Results show that, without exception, the environmental value of the territory has decreased in all the cases analyzed. WEI is a powerful tool for analyzing land use change over time, and its application allows for performing detailed statistical analyses leading to key conclusions about land use changes inside the landfill influence areas.

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Wei, Lei, Jingjing Zhou, Zhen Li, Hui Zhu, Huaping Wu, Yong Zhu, and Aiping Liu. "Quantitative analysis of sweat evaporation loss in epidermal microfluidic patches." RSC Advances 14, no. 26 (2024): 18406–16. http://dx.doi.org/10.1039/d4ra03483j.

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This study analyzes the mechanisms of sweat evaporation loss in epidermal microfluidic patches, derives the quantity of sweat loss, verifies the theoretical calculations by experiments, and discusses the structure design of the anti-evaporation.

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11

Bazurto Palma, Carmen Judith, and Mauro Ocaña Garzón. "The use of a virtual environment to improve students’ Listening skills: a learning analytics approach." Ciencia Latina Revista Científica Multidisciplinar 7, no. 2 (April 13, 2023): 2937–53. http://dx.doi.org/10.37811/cl_rcm.v7i2.5537.

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This study analyzes the use of virtual environments to improve the listening skills of students of English as a foreign language (EFL) from a quantitative approach. To achieve this goal, one hundred participants enrolled in a free English course using a platform with H5p activities, videos, quizzes, images, infographics, audio, forum, and synchronous Zoom sessions for four weeks, in addition to a KET test for the assessment of listening comprehension. Quantitative data were analyzed by comparing the mean scores of the pretest, posttest as well as the logs of the platform. Analyses confirm the benefits of applying ICT tools to develop listening skills. All subskills of the listening sections were benefited from the interactivity displayed in the online activities. The current study reinforces the notion of interactive online activities as motivators to improve listening comprehension in EFL.

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12

Xin, Quanbo, Yong Wang, Ming Zhang, Ruixi Wang, and Yongchao Wang. "Quantitative Analysis of Influencing Factors on Changzhou Ship Lock Capacity." Applied Sciences 14, no. 11 (June 6, 2024): 4958. http://dx.doi.org/10.3390/app14114958.

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The Changzhou ship lock is approaching its capacity limit. In order to quantitatively analyze the influencing factors that restrict the capacity of the Changzhou ship lock, this study proposes an influencing factor analysis method based on principal component analysis (PCA). This method estimates the confidence interval of ship passing time by fitting a lognormal distribution curve, eliminates redundancy in navigability data by combining the hydrological data and cargo load data, and quantitatively analyzes the influencing factors of ship lock capacity under saturated operating conditions. The results show that the influencing factors of Changzhou ship lock capacity are classified according to their influence contribution rate as minimum water depth above the lock sill, operation direction, ship dimensions, draft, loading capacity, and actual load. The research results can provide a theoretical basis for improving the ship lock capacity and have application value for lock scheduling management.

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13

Yu, M., Y. Xu, Y. Li, Y. Song, and Z. Feng. "SPATIAL AND TEMPORAL ANALYSIS OF THE INFLUENCE OF GROUNDWATER ON LEAKAGE OF URBAN UNDERGROUND ENGINEERING." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-3/W1-2022 (October 27, 2022): 187–92. http://dx.doi.org/10.5194/isprs-annals-x-3-w1-2022-187-2022.

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Abstract. Based on GIS, spatio-temporal analysis in quantitative research, has formed a set of analysis methods and the technical process, in view of the leakage defects mechanism research, first analyzes the regional hydrogeological conditions and uplift area distribution and the change of time and space, and then analyzes the groundwater distribution and vertical time-space distribution of underground projects, groundwater is analyzed again and the spatial and temporal distribution and leakage of underground engineering diseases, Finally, the influence degree and correlation between groundwater and underground engineering diseases in this area are obtained.

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14

Frič, Lukáš, Iva Sýkorová, Eva Velísková, and Olga Rubinová. "Quantitative Microbiological Aspects of the Indoor Environment." Applied Mechanics and Materials 824 (January 2016): 251–58. http://dx.doi.org/10.4028/www.scientific.net/amm.824.251.

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The paper analyzes the microbial constituents residing in buildings with more people, such as basic school or office spaces. The aim is to determine whether these areas with similar equipment and similar cleaning regime have similar parameters of microbial environment. Within the quantitative analysis we have carried out the collection of microbial particles dispersed in the air and deposited on floors, furniture and walls inequalities. It was found that the internal environment of buildings with natural ventilation is significantly on the condition of ambient air. In the environment of greater occupancy there are more bacteria than fungi. Rooms in the same building, but not directly neighbouring, have an independent environment.

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Ling, Mu Ling, Li Yuan, and Cheng Ya Wei. "Risk Analysis of the Real Estate Financial Market Based on Risk Energy Theory." International Journal of Corporate Finance and Accounting 8, no. 1 (January 2021): 15–26. http://dx.doi.org/10.4018/ijcfa.2021010102.

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Beginning with real estate financial risk and risk energy theory, combined with empirical research, this article analyzes real estate financial markets in different stages and calculates the profit and loss (the ratio of the release of risk energy to the risk energy) in order to judge whether the risk energy has exceeded the system tolerance and to play a warning role. First, this article analyzes uncertain factors in the real estate market, builds a real estate supply and demand network, determines system risk characteristics, corresponding profit and loss categories, quantitative and qualitative factors, and the risk of energy release and the collapse of boundary conditions. The real estate market is approached using both univariate and multivariate analyses, dividing the real estate market into three stages and probing mergers and transformation conditions for different levels of risk. Finally, the authors analyze whether the financial risk energy released by real estate market exceeds the capacity of the system by calculating probability, risk, which play a warning role.

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Cerenko, Danko, Fred M. S. McConnel, and Richard T. Jackson. "Quantitative Assessment of Pharyngeal Bolus Driving Forces." Otolaryngology–Head and Neck Surgery 100, no. 1 (January 1989): 57–63. http://dx.doi.org/10.1177/019459988910000109.

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This study analyzes the differences between wet and dry swallows; a manofluorogram is used to determine forces that affect pharyngeal bolus flow. By defining bolus pressures, many of the limitations of pharyngeal manometry are surmounted. This makes manometry a more useful clinical tool. The study results indicate that only a small portion of pharyngeal-generated pressure is directly applied to the bolus. The manofluorogram demonstrates that bolus transit relies on the synergistic action of two pumps—the oropharyngeal propulsion pump and the hypopharyngeal suction pump. A technique is illustrated for quantifying the forces that affect bolus flow. Quantification of force can differentiate abnormal forces responsible for lingual, pharyngeal, and hypopharyngeal pathology in dysphagic patients. The degrees of impairment can be measured.

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17

Altmann, Robert, Patrick Henning, and Daniel Peterseim. "Quantitative Anderson localization of Schrödinger eigenstates under disorder potentials." Mathematical Models and Methods in Applied Sciences 30, no. 05 (April 16, 2020): 917–55. http://dx.doi.org/10.1142/s0218202520500190.

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This paper analyzes spectral properties of linear Schrödinger operators under oscillatory high-amplitude potentials on bounded domains. Depending on the degree of disorder, we prove the existence of spectral gaps among the lowermost eigenvalues and the emergence of exponentially localized states. We quantify the rate of decay in terms of geometric parameters that characterize the potential. The proofs are based on the convergence theory of iterative solvers for eigenvalue problems and their optimal local operator preconditioning by domain decomposition.

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18

Demmler, Michael, and Denise Gómez Hernández. "QUANTITATIVE ANALYSIS OF THE BEHAVIOR OF NATIONAL MEXICAN REAL ESTATE PRICES." Hitos de Ciencias Económico Administrativas 25, no. 73 (March 3, 2020): 490–507. http://dx.doi.org/10.19136/hitos.a25n73.3637.

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OBJECTIVE: To explain Mexican home prices using fundamental, macroeconomic variables in order to identify possible financial bubble tendencies within the Mexican national housing market during the period 2005 to 2018. MATERIAL AND METHOD: The present study analyzes quarterly data of Mexican real estate market prices and various fundamental, macroeconomic variables during the period 2005 to 2018. The quantitative research approach of the study is based on descriptive statistics and regression analyses. RESULTS: The main results of the study are as follows: First, a simple comparison between market prices and fundamental values shows some kind of (preliminary) evidence of bubble tendencies on the Mexican national real estate market. Secondly, a more sophisticated regression analysis concludes that especially the fundamental variables outstanding mortgage volume and unemployment rate can explain real estate market price movements almost perfectly. CONCLUSIONS: The hypothesis of a financial bubble within the national Mexican real estate market is then rejected, in the considered period 2005 to 2018.

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19

Rizki, Muhammad, and Haryadi Haryadi. "Analisis investasi serta pengaruhnya terhadap kesempatan kerja dan pertumbuhan ekonomi di Indonesia." e-Journal Perdagangan Industri dan Moneter 9, no. 3 (October 8, 2021): 193–200. http://dx.doi.org/10.22437/pim.v9i3.4740.

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This study aims to analyze the development of investment, labor, and economic growth in Indonesia during the years 2000-2015 and analyze the effect of investment on labor and economic growth in Indonesia during 2000-2015. This study uses descriptive and quantitative methods. The quantitative descriptive analysis method analyzes the development of investment, labor, and economic growth in Indonesia during 2000-2015 and the independent variable (buy) on the dependent variable (employment opportunities and economic growth). Also, employment opportunities in Indonesia while GDP and economic development in Indonesia continue to increase and partially or individually investment in Indonesia has a significant effect on Indonesia's employment opportunities and economic growth. Keywords: Investment, Employment opportunity, Economic growth

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20

Liao Hong, Wang Nana. "TRANSLATION RESEARCH TRENDS IN CHINA (2022) BASED ON QUANTITATIVE ANALYSIS." International Journal of Education Humanities and Social Science 07, no. 02 (2024): 100–116. http://dx.doi.org/10.54922/ijehss.2024.0664.

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This paper takes the 1263 CSSCI articles from the core journals of translation studies included in the CNKI database from January to December (2022 ) as the data source. The author analyzes high-impact research institutions, authors, and keywords. The aim is to comprehensively understand the research hotspots and trends in the field oftranslation in 2022 and provide reference for future translation research and the development ofrelated disciplines.

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21

Ardashev, Roman G. "Suicidal behavior among young people: Irrationality of perception." Alma mater. Vestnik Vysshey Shkoly, no. 7 (July 2022): 41–45. http://dx.doi.org/10.20339/am.07-22.041.

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The article analyzes the quantitative and qualitative research of youth suicidal behavior. The irrational foundations of the development of suicidal behavior are revealed. Six factors in the development of suicidal behavior among young people are identified, and the information content of the key lexemes of public pages on social networks, where direct and indirect propaganda of suicidal behavior is located, is analyzed.

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Xu, Xue Rui, Lei Guan, and Xing Zheng He. "Quantitative Risk Assessment Method of the Domino Effect in Crude Oil Terminal Pool Fires." Advanced Materials Research 1030-1032 (September 2014): 570–73. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.570.

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Korotayev, Andrey, Daniil Romanov, and Ilya Medvedev. "Echo of the Arab Spring in Eastern Europe: A Quantitative Analysis." Sotsiologicheskoe Obozrenie / Russian Sociological Review 18, no. 1 (March 2019): 56–106. http://dx.doi.org/10.17323/1728-192x-2019-1-56-106.

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The article analyzes the impact of the Arab Spring on destabilization processes in Eastern Europe. The authors show how the success of the Arab revolutions influenced the rise of protest activity in Eastern Europe in 2011. The similarities of the protests in Eastern Europe with the protests of the Arab Spring period are demonstrated. We also analyze ways of borrowing patterns of destabilization. The wave of protest activity after 2011 is compared with the previous wave of protest activity initiated by the global financial-economic crises of 2008–2009. In addition to the external factor of the Arab Spring, the article examines the internal factors of the protest activity of the second wave of the economic crisis associated with the economic crises in Portugal, Italy, Spain, and Greece. The authors define the most typical forms of destabilization for Eastern Europe: anti-government demonstrations, riots, terrorist actions, and guerrilla warfare. The contribution of the Ukrainian Revolution in 2014 to the dynamics of the most violent forms of protest in Eastern Europe is also analyzed. In explaining the special case of Ukraine which breaks with the general trend of Eastern Europe, the authors show that Ukraine experienced a transition from less-violent forms of destabilization (anti-government demonstrations and riots) to more violent ones (guerrilla warfare and terrorist attacks) in 2013–2014. The reasons for the growth of terrorist activity and guerrilla warfare as well as the role of the war in Donbass are discussed. It is shown that though the case of Ukraine is unique for Eastern Europe in the period under study, it has many parallels on a global scale.

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Hu, Chun Chao, Kai Ma, Ze Xiang Cai, Xiang Chao Shao, Cheng Qiao Huang, and Shan Qiang Feng. "Modeling and Simulation for Quantitative Assessment of Process Level Networks in Substation Based on OPNET." Advanced Materials Research 805-806 (September 2013): 1181–89. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1181.

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The substation process level networks modeling based on OPNET provides the solution for the quantitative assessment of process level networks. To meet the demand in substation automation system application, it analyzes the modeling requirements of entity equipment, IEC 61850 standard and optimization strategies. From the prospective of OPNET operating system, model library and user-defined modeling methods it researches the adaptation of OPNET and process level networks modeling, and it analyzes the substation process level network modeling based on OPNET with the demonstrations of SV/GOOSE, merging unit and protection IED, VALN modeling, providing the solution for the quantitative assessment of process level networks. Finally it proposes the modeling and simulation platform for quantitative assessment of process level networks in substation basing on an 110kV substation. This paper provides an effective tool for the quantitative assessment of process level networks and substation automation system.

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Gan, Shiyuan. "Dynamic Simulation and Comprehensive Quantitative Evaluation of Rural Tourism Core Competitiveness Based on Neural Network." Advances in Multimedia 2022 (September 8, 2022): 1–10. http://dx.doi.org/10.1155/2022/7662291.

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Rural tourism is the purpose of vacation tourism, which is an important support for rural economic development. Neural network algorithms are the second way to simulate human thinking. The purpose of this paper is to obtain benefits and diversify risks through dynamic simulation analysis and comprehensive quantitative analysis based on the neural network algorithm, so as to improve the core competitiveness of rural tourism. This paper first designs the neural network algorithm model, then analyzes the dynamic simulation model and comprehensive quantitative analysis, and then uses the artificial neural network algorithm to analyze and predict the core competitiveness of rural tourism. The results confirm the effectiveness of the algorithm. Under the demand forecast of the core competitiveness of rural tourism, using the artificial neural network algorithm, taking city A as an example, the number of tourists in rural tourism in city A from 2017 to 2021 was analyzed. The year with the largest number of people is 2021, with 2,586,000 people, and the year with the largest growth rate is 2019, with 2,576,900 people, a growth rate of 24.16%. Comparing the experimental data of each group, the results show that the algorithm has high efficiency in solving problems and also confirms the scientific validity of the algorithm.

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Reniati, Reniati, Nanang Wahyudin, and Muhammad Faisal Akbar. "Improving the Human Development, Reducing Poverty and Promoting the Economic Growth: A Sustainable Development Strategy." International Journal of Finance, Economics and Business 2, no. 3 (September 30, 2023): 246–57. http://dx.doi.org/10.56225/ijfeb.v2i3.247.

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This study analyzes the macro-relationship between three main variables, namely, poverty, the human development index, and economic growth. This study uses the Vector Autoregressive/ Vector Error Correction Model. The variables measured in this study included household income per capita, community education level, poverty, and economic growth. This research was conducted using a quantitative method by capturing information from quantitative data. Meanwhile, the quantitative data were obtained from official publications of government agencies and analyzed using panel data regression. This study used the stationarity test and cointegration test. The study’s results concluded that economic growth was affected by the human development index. The human development index affects poverty. Also, the poverty affects economic growth. Thus, a unidirectional causality existed between the human development index, economic growth, and poverty.

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Sulistyawati, Maria Fransiska Sri. "PERAN WORK INVOLVEMENT TEHADAP SELF EFFICACY PELAKU USAHA MIKRO DI PALEMBANG." Jurnal Keuangan dan Bisnis 19, no. 1 (March 12, 2021): 25–33. http://dx.doi.org/10.32524/jkb.v19i1.153.

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This study examines and analyzes the role of working involvement in the self-efficacy of micro-entrepreneurs in Palembang. The respondents were micro-entrepreneurs in Palembang. Quantitative and qualitative analyses were analysis techniques used in this empirical study. Convenience was the sampling technique used in this study. Validity, reliability, classic assumption, and simple linear regression tests were employed to analyze the data. The results show that working involvement has a significant effect on self-efficacy and it is expected to be useful for increasing the micro-entrepreneurs' success. This study is a source of information for future researchers in conducting similar research by combining other variables out of the variables that have been studied.

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Cheng, Jinhua, Bing Wang, Chenxi Cao, and Ziqiang Lang. "A Quantitative Risk Assessment Model for Domino Accidents of Hazardous Chemicals Transportation." Processes 11, no. 5 (May 10, 2023): 1442. http://dx.doi.org/10.3390/pr11051442.

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In recent years, hazardous materials transportation accidents have received increasing attention. Previous studies have focused on accidents involving a single vehicle. When vehicles loaded with materials gather on a stretch of road, a potential domino accident might cause terrible incidents. This paper prompts a quantitative risk assessment (QRA) model to estimate the risk of multi-vehicle incidents. The model calculates the possibility of leakage and explosion of hazardous chemicals using a dynamic Bayesian network (DBN). For different types of hazardous chemicals, the model uses event trees to list different scenarios and analyzes the probability of domino accidents caused by each scenario. The FN-curve and potential loss of life (PLL) are used as an index to evaluate social risk. A case involving multiple vehicles in the JinShan District, Shanghai, is analyzed. The result of the case shows that the state of the driver, the type of road, weather factors and the distance between vehicles have vital impacts on the societal risk resulting from hazardous materials transportation accidents.

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Thiébaut, Rafaël. "French Slave Trade on Madagascar: A Quantitative Approach." Journal of Social History 54, no. 1 (2020): 34–65. http://dx.doi.org/10.1093/jsh/shaa006.

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Abstract This article provides a better understanding of the volume of the French slave trade on Madagascar. Indeed, while research on the European slave trade in the Atlantic has benefitted much from statistical data, the slave trade in the Indian Ocean still lags behind, despite new scholarship. Based on detailed archival research, this article systematically analyzes different aspects of this commerce, including the organization of the trade, the age-sex ratio of the enslaved, and their mortality during the middle passage. Taking the number of French expeditions as a basis, we are able to determine the number of slaves traded with greater accuracy than was previously possible. Through this calculation, this article will shed new light on the patterns of slave trade in the Indian Ocean.

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Sátiro de Jesus, Lázaro, Karen Carvalho Ferreira, Yasmine Ariadne Andrade Martins, Ananda Bezerra Rodrigues, and Marcel Alexandre da Silva Souza. "Quantificação de porcentagem de gordura em diferentes cortes de carne a partir de visão computacional - Quantification of fat percentage in different meat cuts from computational vision." Científic@ - Multidisciplinary Journal 4, no. 1 (July 3, 2017): 66. http://dx.doi.org/10.29247/2358-260x.2017v4i1.p66-75.

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Resumo.A carne, por ser um alimento de alta importância na dieta humana merece espaço dentro das análises tanto qualitativas quanto quantitativas. Dentro das análises qualitativas temos destaque para a análise sensorial que visa analisar os atributos da carne como palatabilidade, aroma, sabor, entre outros. Essas análises podem ser feitas de diversas maneiras, porém, algumas delas demanda um tempo relativamente alto; portanto, ao se utilizar métodos computacionais podemos reduzir o tempo dessas análises. O presente trabalho analisou através de um programa de lógica operacional utilizando linguagem C++, com biblioteca OpenCV, a quantidade de gordura presente no corte cárneo, sendo que foram analisados os cortes de picanha, cupim e acém. A relação entre a cor da gordura presente com a cor do músculo da carne foi contabilizada e transformada em porcentagem.Palavras-chave: OpenCV, linguagem C++, CarneAbstract.The meat, being a food of high importance in the human diet, deserves space within both qualitative and quantitative analyzes. Within the qualitative analyzes, we highlight the sensorial analysis that aims to analyze the attributes of the meat as palatability, aroma, flavor, among others. These analyzes can be done in several ways, but some of them require relatively high time; Therefore, when using computational methods we can reduce the time of these analyzes. The present work analyzed through an operational logic program using C ++ language, with OpenCV library, the amount of fat present in the meat cut, being analyzed the cuts of picanha, termite and so on. The relationship between the color of the fat present and the flesh muscle color was counted and transformed into a percentage.Key words: OpenCV, language C++, Meet

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Yang, Dehua. "A Quantitative Method for Selection of Enterprise Cloud Computing Models." Journal of Systems Science and Information 4, no. 4 (August 25, 2016): 365–78. http://dx.doi.org/10.21078/jssi-2016-365-14.

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AbstractTargeting at methodological limitations in the decision-making of enterprise cloud computing adoption, this paper analyzes the main influence factors affecting enterprise cloud computing, builds up their hierarchical structures, and works out 8 key influence factors affecting cloud computing models, based on the structural model theory in system engineering. A quantitative method is provided for the selection of optimal or recommended enterprise cloud computing models, in terms of the relationship valuations among key influence factors, cloud computing models, and the factor weights for a specific enterprise.

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Arrieta, Alvaro A., Said Marquez, and Jorge Mendoza. "Qualitative and quantitative monitoring of drinking water through the use of a smart electronic tongue." Drinking Water Engineering and Science 15, no. 2 (November 9, 2022): 25–34. http://dx.doi.org/10.5194/dwes-15-25-2022.

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Abstract. The aim of this work was to evaluate a smart electronic tongue device as an alternative for qualitative and quantitative monitoring of drinking water. The smart electronic tongue consisted of a voltametric polypyrrole sensor array, linked with a multi-channel electronic system (multipotentiostat) based on PSoC (programable system on chip) technology controlled by a smartphone with a data acquisition and control app. This device was used in the monitoring of drinking water from the Sincelejo city water supply system; also, water samples collected and analyzed by the public health agency were used. The voltammetric measurements carried out with the smart electronic tongue showed cross-sensitivity of the polypyrrole sensor array, which allowed the discrimination of the samples through of principal component analysis by artificial neural networks. In addition, the voltammetric signals registered with the smart electronic tongue allowed, through partial least square (PLS) by artificial neural networks analysis, estimating the concentrations of some important analytes in the evaluation of the physicochemical quality of drinking water with R2 values higher than 0.70. The results allowed to conclude that the smart electronic tongue can be a valuable analytical tool that allows, in a single measure, to perform qualitative and quantitative chemical analysis (alkalinity, calcium, residual chlorine, chlorides, total hardness, phosphates, magnesium, and sulfates), it is also a fast, portable method that can complement traditional analyzes.

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Liu, Li Zhong, Shu Ke Chen, Wei Kuang, and Dai Shi. "Analysis of the Benefit of Land Reclamation and its Application." Advanced Materials Research 518-523 (May 2012): 4972–79. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.4972.

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In order to make a scientific study on the benefit of land reclamation, the present paper makes an index system to analyze the land reclamation benefit of mining subsidence in the eastern plain with middle prelatic level. Besides, the quantitative research is also carried out combined with practical examples. On the basis of the study above, the paper analyzes the effect of the benefit and investment cost on time.

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Ridha, Mifthahul, and Umiyati Umiyati. "Sharia Compliance, Islamic Corporate Governance dan Non Performing Financing Terhadap Pengungkapan Fraud Bank Umum Syariah." Jurnal Akuntansi dan Governance 3, no. 1 (August 20, 2022): 1. http://dx.doi.org/10.24853/jago.3.1.1-16.

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This study aims to analyze the effect of sharia compliance, Islamic corporate governance, and non-performing financing on the disclosure of fraud in Islamic commercial banks in Indonesia. With quantitative approach this study analyzes data population in the form of Islamic Commercial Banks in Indonesia using purposive sampling method. Data were obtained from the annual financial statements and GCG reports during 2017-2020 and were analyzed using the panel data regression method. The results of this study indicate that the Islamic Income Ratio (IsIR) and Profit-Sharing Ratio (PSR) have significant effects on the disclosure of fraud in Islamic Commercial Banks. While Zakat Performing Ratio (ZPR), Islamic Corporate Governance, and Non-Performing Financing (NPF) do not significantly affect the disclosure of fraud in Islamic Commercial Banks.

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ERGÜN, Zeynep, Nurgun GENCEL, and Esra KABATAŞ MEMİŞ. "The Sustainability Trend In Education in All Its Aspects: A Meta-Synthesis Investigation of Studies In Turkey." İnsan ve Toplum Bilimleri Araştırmaları Dergisi 12, no. 3 (September 21, 2023): 1435–73. http://dx.doi.org/10.15869/itobiad.1288310.

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In this study, which aims to examine all of the articles and theses in the field of education in Turkey on the basis of the concepts of sustainability, environmental sustainability and sustainable development, and to address sustainability in all its dimensions, the data were analyzed by meta-synthesis (thematic content analysis). Within the scope of the research, 232 study and education subject areas accessed from the Turkish Higher Education Institution National Thesis Center and DergiPark databases were discussed in the context of the key concepts of "sustainability, sustainability, sustainable development, sustainable environment, environmental sustainability". In the data analysis process, the subject of the research, its method, data collection tools, sample, data analysis, results and suggestions were examined. In most of the studies examined, it is aimed to measure attitudes, perception, awareness and competence towards sustainability and it is seen that the most quantitative method is preferred. While the most educators are selected as the sample group, the size of the study group is between 301 and 1000. Likert-type questionnaires were used in quantitative research and semi-structured interviews were used in qualitative research. While inferential analyzes were preferred the most from quantitative analyzes, content analysis was preferred from qualitative analyzes. It has been observed that there are many studies that increase belief, attitude, perception, awareness, value and tendency in studies where trainings are given within the scope of sustainability. It is seen that there are themes such as curriculum review, scale development and institution review. Recommendations are grouped and presented to researchers, educators, politicians and parents. Based on these results, it can be said that the studies are trying to measure the awareness and awareness of educators and prospective educators about sustainability and to reveal to what extent they can transfer this to future generations.

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Chatha, Kamran Ali, Irfan Butt, Muhammad Shakeel Sadiq Jajja, and Mamoona Arshad. "Theoretical developments in empirical quantitative manufacturing strategy literature." International Journal of Operations & Production Management 38, no. 1 (January 2, 2018): 183–210. http://dx.doi.org/10.1108/ijopm-08-2016-0486.

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Purpose The purpose of this paper is to report the extent and trends of theoretical developments in the empirical quantitative manufacturing strategy (MS) literature published between the years 1966 and 2015 and provide research gaps that can be bridged by the future research. Design/methodology/approach This content analysis-based literature review analyzes 133 empirical quantitative MS articles published in refereed international journals in the discipline of operations management. These articles are categorized into five article types, namely, reporters, testers, qualifiers, builders, and expanders following the framework of Colquitt and Zapata-Phelan (2007). Analyses are carried out to unearth important trends in theory development in these article types. Findings Theory development is progressing in empirical quantitative MS literature. However, the trend is shifting from theory testing to theory building. MS discipline has borrowed theories from other disciplines. Expectancy theory and media richness theory are the micro theories while resource-based view, contingency theory, and trade-off theory are the major macro theories used in this domain. The most impactful constructs include environmental technology portfolio, enterprise resource planning, manufacturing proactiveness, and modularity-based manufacturing practices, and the most dominant article types are qualifiers and expanders. Research limitations/implications The findings are based on the empirical quantitative articles published in the MS discipline which provides a partial view of theory development in the MS discipline. Practical implications The paper highlights predominant theories, frameworks, and constructs that can be utilized by practitioners to improve their understanding of MS, their ability to predict future scenarios and solve practical problems. Originality/value No such study has been conducted to date in the MS discipline, and it is hoped that this study will play a significant role in further developing theory in the MS discipline.

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Hua, Yuxuan. "Reflections on the Practice and Future Prospects of Quantitative Trading in China." Economic Society and Humanities 1, no. 4 (April 2024): 125–30. http://dx.doi.org/10.62381/e244420.

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Based on experiences both in China and internationally, quantitative trading has shown certain positive effects in enhancing trading efficiency and market liquidity. However, it also poses risks of increasing market volatility under specific market conditions, necessitating guided and regulated development. This paper briefly introduces the characteristics of quantitative trading, reviews its development within China, analyzes its advantages and disadvantages, summarizes recent regulatory requirements, and reflects on its future prospects in China. Suggestions for the next steps in the regulated development of quantitative trading are also proposed.

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Bowker, Geoffrey C. "Numbers or no numbers in science studies." Quantitative Science Studies 1, no. 3 (September 2020): 927–29. http://dx.doi.org/10.1162/qss_a_00054.

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Rani, Ani, Dety Sukmawati, Euis Dasipah, and Nendah Siti Permana. "ANALISIS PREFERENSI KONSUMEN TERHADAP KEPUTUSAN PEMBELIAN SUSU MURNI FRESH MILACK (Suatu Kasus pada Konsumen di Resto & Cafe Fresh Milack Kecamatan Cikole, Kota Sukabumi)." Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis 9, no. 1 (January 31, 2023): 1358. http://dx.doi.org/10.25157/ma.v9i1.9559.

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This study aims to analyze how far individual characteristics and product characteristics influence the purchasing decision of Fresh Milack milk in Sukabumi City. The research method used in this paper is a quantitative method with descriptive analysis. Data was collected using direct interviews with respondents who were in the field using a questionnaire. The type of quantitative method used in this research is Path Analysis. This method analyzes consumer decisions in purchasing fresh milk based on individual characteristics and product characteristics. The results showed that individual characteristics and product characteristics influenced purchasing decisions on Fresh Milack milk. This means that when individual characteristics and product characteristics are diverse, it will result in an increase in the decision to purchase Fresh Milack milk in Sukabumi city.

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Huang, Jiahui. "Quantitative analysis of the influence of mine geological engineering on regional geological environment and research on sustainable development strategy." Transactions on Environment, Energy and Earth Sciences 1 (March 19, 2024): 97–102. http://dx.doi.org/10.62051/rj81hg60.

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This paper aims to quantitatively analyze the influence of mine geological engineering on regional geological environment, and discuss the application and optimization of sustainable development strategy in this field. This paper first analyzes the main types of mine geological engineering and its influence mechanism on geological environment, then evaluates these influences and discusses the practice and effect of sustainable development strategy in mine geological engineering. This paper puts forward the direction of strategy optimization based on the influence of geological environment, and emphasizes the importance of technological innovation, management mechanism and policies and regulations in strategy optimization.

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Benattabou, Driss. "Gendered Hegemony in the Visual Discourse of Moroccan EFL Textbooks: A Quantitative Content Analysis." International Journal of Linguistics and Translation Studies 2, no. 1 (January 24, 2021): 40–61. http://dx.doi.org/10.36892/ijlts.v2i1.103.

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This study analyzes the portrayal of women and men in the visual discourse of Moroccan English as a Foreign Language (MEFL, henceforth). Nine of these textbooks have been sampled to serve this purpose. Although past research has been extensively undertaken to examine the textual discourse of school textbooks, there is up to now a dearth of research geared to analyze their visual contents. This research adopts the analytical techniques of quantitative content analysis to examine the numerical distribution of the two sex groups throughout their pictorial representations. Mapping the visual content of the sampled textbooks, it has been shown that, unlike men, women have been misrepresented both in terms of their visibility (frequency of appearance) as well as in terms of the occupational roles assigned to them. The use of frequency counts, percentages, ratios and chi-square tests have helped unveil imbalanced gender disparities favoring men. The paper ends up presenting the conclusion of this study along with some recommendations.

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Pastukhova, E. Ya, E. A. Morozova, and A. V. Mukhacheva. "The region's labor potential against the backdrop of depopulation: Assessment, trends, influences." Regional Economics: Theory and Practice 18, no. 6 (June 16, 2020): 1079–100. http://dx.doi.org/10.24891/re.18.6.1079.

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Subject. This article analyzes the changes in the basic characteristics of the region's labor potential. Objectives. The article aims to analyze the trends in the formation and realization of the region's labor potential in the conditions of depopulation, as well as identify socio-economic factors that affect the characteristics of the labor potential of the Kemerovo Oblast. Methods. For the study, we used the methods of correlation and regression analyses. Results. The article describes the dynamics of most quantitative parameters of the labor potential of the Kemerovo Oblast, lists the factors that have a negative impact on the number of employed, and factors contributing to the reduction of the unemployment rate. Conclusions. In the face of declining population, the regional policy should be aimed at strengthening the quality of working capacity.

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Sirotina, O. V. "The Semantic Unity HOPE/DESPAIR in the English Language." Prepodavatel XXI vek, no. 1/2 (March 31, 2024): 435–47. http://dx.doi.org/10.31862/2073-9613-2024-1-435-447.

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The article analyzes the meaningful, conceptual and figurative components of the semantic unity HOPE/DESPAIR in English. The material of the study is a continuous sample of examples from 146 British and American works of fiction from 1922 to 2022. The use of the main nouns that form the semantic unity of HOPE/DESPAIR in English (hope, despair, hopelessness, desperation, despondency) in the corpus of examples is analyzed. The conclusion is made about the quantitative prevalence in the corpus of cases of actualization of the semantic features “dynamism”, “impact” and “manifestation” for almost every analyzed lexeme. The quantitative prevalence of cases of using the reimorphic metaphor of hope and the biomorphic metaphor of despair is noted. The metaphorical scale-vertical scale on which hope can fluctuate from a surface point (conditional zero, indifference) to an indefinite height is built; below this point is despair, which is always deep

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.T .S, Senthilkumar, and Uma Swarupa .P. "A Quantitative Description of Pepper Cultivation in Kerala." International Journal of Emerging Research in Management and Technology 7, no. 2 (June 6, 2018): 1. http://dx.doi.org/10.23956/ijermt.v7i2.11.

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In India, Kerala is the largest producer of pepper, accounting over 50 per cent of India’s total output followed by Karnataka and Tamilnadu. But, at a time when black pepper production has seen a drastic fall due to climate change, the unexpected rise in the price of pepper has brought cheer to farmers in Kerala.“The influx of pepper from Vietnam and Sri Lanka was the main reason for the fall in pepper price in the Indian market,” said Binoy Kurian, a spices merchant in Kattappana.“When cheaper pepper from these countries continued to flood the market, the price of pepper produced domestically gradually decreased. There was also a stagnation in the market due to the low price as farmers were not ready to sell their produce.”Hence, the study theoretically analyzes the pepper cultivation, variation in the production and yield rate and cost of cultivation of pepper in Kerala state. Secondary data has been used for the study which includes reports from Department of Economics and Statistics, Indian Agricultural Statistics and other National and International Journals.

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Paul, Zahra Ishtiaq, and Hafiz Muhammad Sohail Khan. "Reshaping the future of HR: Human Resource Analytics and Talent Management." Bulletin of Business and Economics (BBE) 13, no. 2 (June 1, 2024): 332–40. http://dx.doi.org/10.61506/01.00334.

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Purpose Strategic human resource management is needed in the fast-changing 21st century company environment. Organizations must find new ways to maximize their personnel since human resources management is crucial to success. Human Resource (HR) Analytics has gained significant recognition as a powerful tool in this pursuit, offering valuable insights into HR-related data that facilitate well-informed decision-making. This study analyzes HR analytics and organizational performance, with talent management as a mediating variable. Design / methodology /Approach It is a descriptive and explanatory study conducted to analyze the relationship among studied variables. A mixed method approach has been used in which qualitative data was collected through twenty-four interviews and quantitative data from a sample of 245 respondents was drawn through purposive sampling. SPSS analyses quantitative data, while NVivo analyzes qualitative data. Findings Current research helps organizations obtain a competitive edge in a world that is increasingly competitive. The significant findings of the study indicated that HR Analytics plays an important role in organizational performance in the presence of talent management as a mediating variable. Research Limitations The cross-sectional design was used; a longitudinal investigation could provide more information. The understudied variable relationships are studied in the corporate sector only. Practical implications The research findings emphasize the importance of HR analytics on the success of the corporate sector in Pakistan. This study demonstrated the effectiveness of human resource analytics in enhancing organizational performance by employing talent management. Originality /value The research findings will make an important contribution to resource-based theory in the context of Pakistan as a developing South Asian country.

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Wiśniewska, Magdalena, Anna Fraś, and Agnieszka Dmoch. "Variability of selected quantitative traits in new spring barley genotypes." Plant Breeding and Seed Science 82 (November 30, 2021): 19–30. http://dx.doi.org/10.37317/pbss-2021-0002.

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The research included 19 breeding lines and 4 cultivars of spring barley from the preliminary field experiments harvested in 2020 in Radzików. All barley samples were characterized for the content of protein, non-starch polysaccharides (NSP) with soluble (S-NSP) and insoluble (I-NSP) fractions and β-glucan. Additionally, viscosity of water extracts (WEV) was measured to determine the functional properties of the grain. It was the most diverse parameter (CV = 27%) and was significantly correlated with β-glucan content (r = 0.50; for p <0.05). This dependence is shown by the results obtained for the grain of the Avatar cultivar and the RAH 744/19 breeding line, in which the content of β-glucan (5.3% and 4.8%, respectively), as well as the WEV (3.3 mPa.s and 3.0 mPa.s, respectively) were the highest. The lowest content of β – glucan (3.5%) and one of the lowest WEV values (1.4 mPa.s) were observed for KWS Jessie cultivar. Principal component analysis (PCA) showed a substantial impact of the two components PC1 and PC2 on the variability of the analyzed material showing significant variability of the 5 barley genotypes and confirmed the previous results of biochemical analyzes. Our results made it possible to indicate several genotypes that may constitute a source of variability in breeding works aimed at improving the quality of barley. Presented study also show that the grain of some new barley genotypes, with a favorable chemical composition from a fodder and brewing perspective, is a good material for future use in industry.

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Abbas, Ansar, and Ayesha Muhammad Ashraf. "Multidimensional Poverty: Quantitative and Qualitative Analysis from District Sargodha, Pakistan." Journal of Asian Development Studies 13, no. 2 (May 28, 2024): 1391–409. http://dx.doi.org/10.62345/jads.2024.13.2.111.

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Poverty is highly responsive to economic growth, and there is a negative relationship between poverty and economic growth. Hence, it is essential to eradicate it from the world as it is a cause of many social problems. The present study analyzes multidimensional poverty in the Sargodha, Punjab, Pakistan district through quantitative and qualitative approaches. The study applied Alkire and Foster's (2007) technique in quantitative analysis to measure the Global Multidimensional Poverty Index for district Sargodha. Year of schooling and child school attendance are the indicators used to assess the dimension of education. Nutrition and child mortality are the indicators for the dimension of health, while electricity, sanitation, drinking water, flooring, cooking fuel, and asset ownership are indicators of living standards. Focus Group discussions and case studies have been done to analyze multidimensional poverty qualitatively to make evidence-based policy. The study surveyed 300 households from district Sargodha by adopting the multi-stage sampling technique. The multidimensional poverty index for Sargodha is 0.186, showing that 18.6 percent of the population is multidimensional poor. Education contributes 39 percent to overall poverty, which is higher than the other dimensions. The indicators for health are improved in rural settlements compared to urban areas, and almost 75 percent of the population is deprived of sanitation facilities. Based on the findings, MPI should be used to allocate scarce resources efficiently. There should be different policies for different geographical settlements. Providing quality education and improved health facilities are the key factors to eradicate poverty in the future.

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Baumstark, Bernadette A. "Barriers in profiting from external knowledge: the role of organizational design." Industrial and Corporate Change 29, no. 4 (May 21, 2020): 979–95. http://dx.doi.org/10.1093/icc/dtaa010.

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Abstract This article analyzes as to how organizational design impacts firms’ innovation success in integrating knowledge that they have obtained from external partners. Responding to the call for more quantitative empirical analyses on limits and boundary conditions of external knowledge, I provide findings of a study of 97 firms with multi-informants from the Western-European automotive industry. Based on multiple hierarchical regression analyses with robust standard errors, the study shows that organizational design (in particular specialization, formalization, communication/connectedness [non-] monetary rewards) acts as barrier for firms who strive to profit from integrating external knowledge.

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Salendab, Fahad A., and Donald A. Cogo. "Examining the Success Rates in Licensure Examination for Teachers: A Quantitative Focus on Bachelor of Elementary Education (BEED) Graduates." International Journal of Multidisciplinary: Applied Business and Education Research 5, no. 9 (September 23, 2024): 3615–23. http://dx.doi.org/10.11594/ijmaber.05.09.21.

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This study examines the success rates of Bachelor of Elementary Education (BEEd) graduates from Sultan Kudarat State University (SKSU) – Kalamansig Campus in the Licensure Examination for Teachers (LET). This study utilized the descriptive-comparative research design that compares two variables to describe the differences. The study's respondents were the Bachelor of Elementary Education (BEEd) graduates of Sultan Kudarat State University – Kalamansig Campus who took the Licensure Examination for Teachers (LET) for elementary level from 2018 – 2023. The respondents were selected using the purposive sampling method, with 185 respondents. The data were analyzed using the t-test for paired samples, and the Statistical Package for Social Science (SPSS) was used to analyze the t-test. The study compares the overall passing percentage with national averages and analyzes the General Education and Professional Education scores. The findings indicate fluctuating performance, with BEED graduates performing better in General Education than in Professional Education. Despite a higher mean passing percentage than the national average, the study highlights the need for continuous improvement in curriculum and teaching strategies to enhance LET outcomes. The impact of the COVID-19 pandemic on exam preparation and administration is also discussed. Recommendations are provided for educational stakeholders to adopt innovative teaching methods and improve faculty development to increase licensure examination success rates

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Duan, Changmiao, Minghua Hu, Lei Yang, and Qi Gao. "Core Competency Quantitative Evaluation of Air Traffic Controller in Multi-Post Mode." Applied Sciences 13, no. 18 (September 12, 2023): 10246. http://dx.doi.org/10.3390/app131810246.

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In order to quantify the core competency of air traffic controllers (ATCO) in multi-post mode, and analyze the ATCO competency-post fit (CPF) degree, this paper proposes the AFE-TOPSIS evaluation method based on the analytic hierarchy process (AHP), factor analysis (FA), and entropy weight method (EWM). Through the analysis of job tasks, it preliminarily develops an evaluation index library of ATCO core competency. Then, it constructs an improved adaptive multi-dimension core competency model divided into four types of post modes. It proposes a method for determining the combined weight of core competency indexes, where the weights are determined subjectively through AHP, combined with the objective method of FA and EWM. Furthermore, it constructs a comprehensive evaluation model based on AFE-TOPSIS and analyzes the CPF degree by calculating the relative closeness degree of each evaluation index. The empirical analysis results show that the four types of core competency models in General, TWR, APP, and ACC post mode include seven dimensions, such as situation awareness, and workload management, which are also graded into the pyramid hierarchical structure of basic, advanced, and high-level. The calculation of the ATCO CPF degree based on the proposed AFE-TOPSIS method can scientifically assist in the fit of ATCO and multi-post mode.

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