Changes in the agriculture specialization Cherkasy region over 10 years by I. O. Zozulia

“…In the conditions of ultra-intensive agriculture, the main theoretical approaches of the typology of agriculture can play with new, brighter colors. …”
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Construct Validity and Psychometric Properties of Farsi Version of the Motivational Persistence Scale in University Students by Elham Kooshki, Omid Shokri, Fatemeh Almasi

“…In sum, the results of this research, by repeating the factor structure consisting of three components, on the one hand, support from strength of theoretical foundation of Motivational Persistence Scale, and the other hand, these findings provide further psychometric evidence for the Motivational Persistence Scale and support the utility of the questionnaire in Iranian students.…”
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From Dialogue to Engagement: Experiences of Civil Society Organizations in Religious Literacy Programs for Multicultural Education Curriculum in Indonesia by M. Amin Abdullah

“…Research implications/limitations – This research has theoretical and ideological implications for producing educational innovation. …”
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Problems of proving in criminal proceedings based on violations of war laws and customs by A. V. Shulzhenko

“…The purpose of the work is a theoretical generalization of the problems of proving existing in practical activities during the investigation of crimes related to violations of war laws and customs. …”
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The impact of collaborative atmosphere on innovative work behavior of college teachers, North China by Qian Liu, Qian Liu, Yu Sun

“…This study aims to explore the relationship between the collaborative climate and innovative work behavior of university educators, as well as the mediating effect of knowledge sharing, in order to provide an important theoretical basis for universities to better promote innovative work behavior. …”
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Local 2D Simulations of the Ignition of a Helium Shell Detonation on a White Dwarf by an Impacting Stream by Nethra Rajavel, Dean M. Townsley, Ken J. Shen

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Descriptive Phenomenology from Instances of Dishonesty in Psychotherapy by Psychotherapists by Hossein Alipour, Mahdi Akbari

“…The statistical population for this study comprised all psychotherapists working in counseling centers in Amol city in 2023 who participated through a theoretical sampling method. A total of 16 psychotherapists constituted the sample for this research, and data were collected using a five-axis semi-structured interview protocol focused on psychotherapy dishonesty. …”
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Analytical forecasting of the optimal trajectory of mobile robot by A. A. Lobaty, D. V. Kapskiy, A. K. Ibrahim, I. A. Shishkovets

“…The validity of the proposed theoretical provisions is confirmed by an illustrative example, in which, for a simplified mathematical formulation of the problem, the optimal laws of changing the direction of the velocity vector and the parameters of the trajectory of a mobile robot are calculated by means of computer modeling. …”
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Thermodynamic Analysis of a Solar Combined Ejector Absorption Cooling System by Doniazed Sioud, Raoudha Garma, Ahmed Bellagi

“…The objective of this paper is to investigate theoretically a solar driven 60 kW absorption cooling system. …”
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The Impact of Selling and Administrative Expenses on Corporate Stock Price Performance by Joseph T. Musandiwa, Collins C Ngwakwe

“…The paper provides practical implications for businesses, including the need for managers to invest efficiently in strategic areas such as current-year adverts and promotions, as these may have multiple years of economic benefits for the company. Theoretically, the result also indicates that the current year's expense values may not be limited to the bottom line and that these expenses may cautiously be included in the variables for economic value-added analysis given their ripple benefit effect unto subsequent years' economic values. …”
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Lie symmetry analysis of bio-nano-slip flow in a conical gap between a rotating disk and cone with Stefan blowing by Hamadneh Nawaf N., Uddin Mohammed Jashim, Khan Waqar, Tanjila Rubina, Tamanna Nadia, Jaber Jamil J.

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Impact of psychological factors on investment decisions in Nepalese share market: A mediating role of financial literacy by Dhruba Prasad Subedi, Dilli Ram Bhandari

“…Smart PLS 4.0 was used to analyze the structural relationships within the proposed theoretical model. Data were collected from the primary source using a structured questionnaire administered through a random sampling technique. …”
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Socialization of younger students: updated priorities and content characteristics by Zarina I. Cherginskaya

“…The paper presents theoretical and methodological grounds that enhance the development of updated priorities and content characteristics of socialization of younger students. …”
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Mechanism of Coal Burst and Prevention Practice in Deep Asymmetric Isolated Coal Pillar: A Case Study from YaoQiao Coal Mine by Chengchun Xue, Anye Cao, Wenhao Guo, Songwei Wang, Yaoqi Liu, Zhiping Shen

“…The extreme roadway deformations from the asymmetric isolated coal pillars in the central mining district of YaoQiao Coal Mine have responded with frequent intense tremors, with risky isolated coal pillar bursts. The theoretical analysis, numerical simulation, and field measurements were done to research the impact of spatial overburden structure and stress distribution characteristics on the isolated coal pillar area, aiming to reveal the mechanism of coal pillar burst leading to the practice of prevention and control in the asymmetric isolated coal pillar area. …”
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Associations between Scattering Screens and Interstellar Medium Filaments by Ashley M. Stock, Marten H. van Kerkwijk

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A Clone Selection Based Real-Valued Negative Selection Algorithm by Ruirui Zhang, Xin Xiao

“…The main contributions lie in (1) introducing the clonal selection algorithm and randomly generating candidate detectors within the stratified limited ranges based on clustering centers of self set; generating big-radius candidate detectors first and making them cover space far from selves, which reduces the number of detectors; then generating small-radius candidate detectors and making them gradually cover boundary space between selves and non-selves, which reduces the number of holes; (2) distinguishing selves and dividing them into outlier selves, boundary selves, and internal selves, which can adapt to the interference of noise data from selves; (3) for anomaly detection, using mature detector set and boundary self set to test at the same time, which can effectively improve the detection rate and reduce the false alarm rate. Theoretical analysis and experimental results show that the algorithm has better time efficiency and detector generation quality according to classic negative selection algorithms.…”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…Our approach is based on the solid theoretical foundation of Gradient-weighted Class Activation Mapping (GradCAM) and Classification and Regression Tree with additional proxy geometry heuristics. …”
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Noise Source Identification Method for a Carpet Tufting Machine Based on CEEMDAN-AIC by Wang Haohui, Sheng Xiaowei, Xu Yang

“…The main noise sources of the carpet tufting machine include shock caused by the impact of the tufted needle and looped hook and vibration of the hook-driven shaft and pressure plate. It provides theoretical support for the noise reduction of the carpet tufting machine.…”
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Development of a Simple and Powerful Analytical Method for Formaldehyde Detection and Quantitation in Blood Samples by Yong-Hyun Kim, Jeongsik Park

“…Blood samples spiked with FA standards were analyzed, and the FA concentrations were found to be similar to the theoretical concentrations (2.16 ± 0.81% difference). …”
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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…First, on the basis of introducing the basic algorithmic principles of machine learning, we give reasons for choosing machine learning models and build a machine learning-based Internet consumer finance credit risk control strategy model to provide theoretical support for the empirical analysis later. …”
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