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楼主: HEM
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Estimating Women Entrepreneurial Empowerment of Start-Up Business Through Micro Credit Model in Rurame in incorporating the start-up among the women self-help group members. Main purpose of this paper is to emphasise the role and significance of microfinance to empower women in rural areas. It also aims to promote the self-employment opportunities among the rural women through the start-up busines
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Assessing Underlying Factors of Entrepreneurial Intention Among Young Saudisre review and opted to validate in this study. A convenient sampling technique was used, and 312 respondents from different colleges in the Al-Kharj region of Saudi Arabia were approached to fill out the questionnaire online. However, after meticulous elimination, 219 respondents were selected. Cron
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Education-Job Mismatch in the Saudi Labor Marketl Authority of Statistics. The analysis reveals that over time, the LFPR and proportion of individuals in university education has significantly increased across both genders. The results also demonstrate that over-education is becoming more prevalent over time, mainly in the clerical, service, and
发表于 2025-3-24 11:38:47 | 显示全部楼层
An Investigation of Teaching and Learning Process Efficiency in a Business School Using DEAnd to be efficient, accounting for 35.71% of the total population studied. On the Banker Charnes and Cooper (BCC) scale, this number increases to 34, nearly half of the total number of DMUs analysed. The current study establishes a model for internal benchmarking by using a generic model. Where the
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The Effect of TEFL Course Moodle Activities in Developing Student-Teachers’ Pedagogical Knowledge anthe study concluded that the instructor’s presentation activities and scenario-based tasks and practical studies and practice teaching videos had a high effect on developing EFL student-teacher’s teaching practices.The results also revealed that there were no statistically significant differences at
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An Adaptive Oversampling Method for Imbalanced Datasets Based on Mean-Shift and SMOTEontains a small number of data points. Class imbalance affects the learning process negatively, resulting in classification algorithms’ ignorance of the minority class. To address this issue, various researchers developed different algorithms to tackle the problem; however, the majority of these alg
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