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  1. 3161

    What determines women empowerment in India? A capability-based approach by Sunetra Nath, Gurudas Das

    Published 2024-12-01
    “…In the study, 416 married women from the Barak Valley region of Assam, India, serve as the primary sample. The index was developed using Exploratory Factor Analysis (EFA) in SPSS software. …”
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    Article
  2. 3162

    The effect of COVID-19 on operating costs: The perspective of hotel managers in Antalya, Turkey by Kaplan Ugurlu, Bayram Akay, Sevda Demirel

    Published 2022-01-01
    “…In addition, operating budgets for 2020, occupancy rates, profitability, the decision to stay on and off, and expectations for next year were evaluated from an executive perspective. …”
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  3. 3163

    First record of economically important big-scale sand smelt (Atherina boyeri Risso, 1810, Pisces: Atherinidae) with some biological parameters from Reyhanlı Dam Lake, Türkiye by Şimşek Emrah

    Published 2023-01-01
    “…The length and weight of the sampled fish ranged from 6.52 to 8.57 cm and 1.44 to 3.46 g, respectively. …”
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  4. 3164

    The role of disclosure in the business model report in improving the quality of financial reports by Abdulrahman Saeed Ali *, Hammeed Jassam Hommadi

    Published 2025-03-01
    “…A questionnaire was distributed to a research sample of 70 people from different categories. The results were analyzed and discussed, as there were different percentages of agreement regarding the paragraphs that were identified as aspects of enhancing the quality of financial reports through disclosure within the business model report. …”
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  5. 3165

    Intelligent Prediction of Lost Circulation and Gas Invasion in Cementing Operations Based on ACO-SWXGBoost by Wei Ji, Mengyuan Xiong, Shuangjin Zheng

    Published 2025-01-01
    “…On average, the model outperforms XGBoost, LightGBM, random forest, and decision tree by 5.55%, 7.28%, and 6.48% on the three respective metrics. …”
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  6. 3166

    EVALUATION OF NGOs WITH AGRICULTURAL PROFILE FROM LEGAL AND MANAGERIAL POINT OF VIEW. CASE STUDY by Radu Andrei IOVA, Daniela CREȚU, Oana Roberta CREȚU, Daniel BOTĂNOIU

    Published 2025-01-01
    “…In forming the research sample, the condition was established that the associative structure to be active, an aspect verified by submitting the balance sheet for the year 2023 and subsequently confirmed by telephone by representatives of these structures, when setting up a meeting to apply the questionnaire. …”
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  7. 3167

    Is abortion policy the next catalyst for ideological migration? Dobbs v. Jackson and migration intentions across the United States by John C. Blanchar, Catherine J. Norris

    Published 2025-01-01
    “…Jackson decision to investigate whether pro-choice and pro-life advocates experienced a diminished sense of belonging and stronger intentions to migrate when their state's anticipated abortion policy conflicted with their beliefs. …”
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  8. 3168

    Cyber shocks: The financial impact of cyber events by Lennart Huygen, Erik Beulen

    Published 2025-01-01
    “…A research sample of 295 entities that collectively experienced 405 cyber events between 2014 and 2023 is obtained from the CISSM Cyber Event Database. …”
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  9. 3169

    Translation and cultural adaptation of the Game Dice Task to Brazilian population by Patricia Rzezak, Hanna Karen Moreira Antunes, Sérgio Tufik, Marco Túlio de Mello

    Published 2012-12-01
    “…OBJECTIVE: The Game Dice Task (GDT) was developed to measure decision making under known risk. The aim of this study was to translate and adapt the GDT to a Brazilian population. …”
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  10. 3170

    Psychometric evaluation of the exercise-related cognitive errors questionnaire among Chinese emerging adults by Mengyao Guo, Jin Kuang, Ting Wang, Fabian Herold, Alyx Taylor, Jonathan Leo Ng, Jonathan Leo Ng, M. Mahbub Hossain, M. Mahbub Hossain, Arthur F. Kramer, Arthur F. Kramer, Robert Schinke, Zhihui Cheng, Liye Zou

    Published 2025-01-01
    “…BackgroundCognitive errors involve negatively biased or distorted thinking patterns that can hinder effective decision-making. When such a phenomenon occurs in the exercise domain, this is referred to as exercise-related cognitive error. …”
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    Article
  11. 3171

    Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data by Maksym A. Jopek, Krzysztof Pastuszak, Sebastian Cygert, Myron G. Best, Thomas Wurdinger, Jacek Jassem, Anna J. Zaczek, Anna Supernat

    Published 2024-01-01
    “…They returned a set of 60 genes with the highest impact on the models’ decision-making process. Conclusions: Our results show that deep-learning methods are a promising opportunity for cancer detection and could support clinicians’ decision-making process in finding the solution for the black-box problem. …”
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  12. 3172
  13. 3173

    Pathogenetic characteristics and related risk factors of incisional infection after surgery for acute intestinal obstruction and construction of prediction model by Qiangqiang Wang, Yanjing Zhu, LvHao Cao, Tongyuan Zhang, Jiawei Chang, Xingyu Wang

    Published 2025-05-01
    “…Patients were included based on specific criteria. Wound drainage samples from patients with postoperative incisional infections were collected for bacterial culture and drug susceptibility testing. …”
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  14. 3174

    A nomogram to predict postoperative overall and cancer specific survival in patients with primary parotid squamous cell carcinoma: a population based study by Xudong Liu, Jincai Xue, Fang Dong, Xingyue Wang, Youxin Tian, Qinjiang Liu, Jun Wang, Yunsheng Wang

    Published 2025-02-01
    “…Due to the low incidence of pPSCC, there is a lack of clinical studies with large samples. The aim of this study was to identify prognostic factors and develop a nomogram for predicting overall survival (OS) and cancer specific survival (CSS) of pPSCC, with the goal of guiding clinical decision making. …”
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  15. 3175

    A competing risk model analysis of dexmedetomidine of in-hospital mortality in subarachnoid hemorrhage patients by Zong-jie Wang, Tian-hua Lin

    Published 2024-11-01
    “…The receiver operating characteristic curve, Delong test, and decision curve analysis were used to assess the predictive value of sedatives. …”
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  16. 3176

    A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History-Based Adaptive Differential Evolution Optimized Support Vector Machine by Nhat-Duc Hoang, Quoc-Lam Nguyen

    Published 2020-01-01
    “…Based on features of image texture, Support Vector Machines (SVM) establish a decision boundary that separates collected image samples into two categories of no surface void (negative class) and surface void (positive class). …”
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  17. 3177

    An interpretable fault diagnosis method for aeroengine bearings based on belief rule based with a dynamic power set by Jinyuan Li, Wei He, Hailong Zhu

    Published 2024-12-01
    “…Furthermore, data collected in real industrial environments can suffer from unbalanced sample categories. Moreover, the models can suffer from local ignorance in the prediction process. …”
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  18. 3178

    Navigating Data Privacy in Digital Public Services: Public Perceptions and Policy Implications. Romania Case Study by Mircea POPA

    Published 2024-07-01
    “…In the context of the qualitative analysis, the sample comprises directors of institutions that offer public services in Romania and people with decision-making roles at the level of the seven counties. …”
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  19. 3179

    Fusion of Rough Set Theory, Genetic Algorithm-Backpropagation Neural Networks and Shapley Additive Explanations for the Design of Bamboo Furniture by Zhongchen Huang, Li Ye

    Published 2025-07-01
    “…First, the emotional needs and related samples were collected, and the sample form was deconstructed systematically. …”
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  20. 3180

    THE DEVELOPMENT OF THE IDENTIFICATION KEY CIRCLE MEDIA FOR THE SKILLS OF CLASSIFYING ANIMALS AND STUDENTS’ UNDERSTANDING OF CONCEPTS by Yayan Yayan

    Published 2022-05-01
    “…The working hypothesis will be accepted if the value of asymp.sig , and the value of = 0.05, because the value of asymp.sig = 0.01 0.05 then Ha is accepted, and an increase in students' understanding of concepts from the final data analysis shows that obtained based on the Independent sample test output table in the equal variances assumed section, the Sig value is known. (2-tailed) of 0.00 0.005, so as for decision making in the independent sample t-test, it can be concluded that Ho is rejected and Ha is accepted. …”
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