Perceived effects of the hidden curriculum of return to entrepreneurship with the mediation of goal orientation by Ahmad KarimiDashtaki, Mohammadbagher Akbarpour Zangalani

“…The statistical population of the research includes all the students of Payam Noor University in the center of Khoi in the academic year of 2012-2013, in the number of 2178 people, and the statistical sample size was 327 people through Morgan's table and using stratified random sampling method. The research data collection tools are Taqvai et al., (2013), Middleton and Migli (1997), and Mirza Safi (2009) questionnaires. …”
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Proficiency testing and cross-laboratory method comparison to support standardisation of diatom DNA metabarcoding for freshwater biomonitoring by Valentin Vasselon, Sinziana F. Rivera, Éva Ács, Salomé Baja Almeida, Karl B. Andree, Laure Apothéloz-Perret-Gentil, Bonnie Bailet, Ana Baričević, Kevin K. Beentjes, Juliane Bettig, Agnès Bouchez, Camilla Capelli, Cécile Chardon, Mónika Duleba, Tina Elersek, Clémence Genthon, Maša Jablonska, Louis Jacas, Maria Kahlert, Martyn G. Kelly, Jan-Niklas Macher, Federica Mauri, Marina Moletta-Denat, Andreia Mortágua, Jan Pawlowski, Javier Pérez-Burillo, Martin Pfannkuchen, Erik Pilgrim, Panayiota Pissaridou, Frédéric Rimet, Karmen Stanic, Kálmán Tapolczai, Susanna Theroux, Rosa Trobajo, Berry Van der Hoorn, Marlen I. Vasquez, Marie Vidal, David Wanless, Jonathan Warren, Jonas Zimmermann, Benoît Paix

“…Experiments were performed by each participant on a set of standardised DNA and biofilm samples (river, lake and mock community) to investigate potential systematic and random errors. Our results revealed the successful transferability of a protocol amongst labs and a highly similar and consistent ecological assessment outcome obtained regardless of the protocols used by each participant. …”
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Models based on dietary nutrients predicting all-cause and cardiovascular mortality in people with diabetes by Fang Wang, Yukang Mao, Jinyu Sun, Jiaming Yang, Li Xiao, Qingxia Huang, Chenchen Wei, Zhongshan Gou, Kerui Zhang

“…The least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithm were applied to identify key mortality-related dietary factors, which were subsequently incorporated into risk prediction nomogram models. …”
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Determining Dominant Factors of Vegetation Change with Machine Learning and Multisource Data in the Ganjiang River Basin, China by Zhiming Xia, Kaitao Liao, Liping Guo, Bin Wang, Hongsheng Huang, Xiulong Chen, Xiangmin Fang, Kuiling Zu, Zhijun Luo, Faxing Shen, Fusheng Chen

“…To address this gap, we used machine learning models (random forest and XGBoost) to assess the impact of seasonal and extreme climate variables, land cover, topography, soil properties, atmospheric CO₂, and night-time light intensity on vegetation dynamics. …”
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Prevalence and related factors of compassion fatigue among registered nurses and nursing students during the internship: a systematic review and meta-analysis by Lijuan Yi, Suwen Hu, Mengqi Liao, Liang Cheng, Yi Liu, Xu Tian, Maria F. Jiménez-Herrera

“…The Agency for Healthcare Research and Quality tool was used for critical appraisal of study quality. Random-effects model analyses were conducted using Stata 17.0 to pool data on prevalence rates and mean scores of compassion fatigue. …”
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Assessment of factors influencing job satisfaction among healthcare workers' in public hospitals in Nairobi County, Kenya by Lifuleze CM, Muhonja FH, Muchiri J

“…A sample of 400 participants was selected using stratifed random sample based on proportioanl allocation. The data collection instrument was self-administered questionnaires and analysis done using the SPSS software, version 26.0, with the level of significance set at 0.05. …”
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Parameter Study on Ultraviolet Rayleigh–Brillouin Doppler Lidar with Dual-Pass Dual Fabry–Perot Interferometer for Accurately Measuring Near-Surface to Lower Stratospheric Wind Fie... by Fahua Shen, Zhifeng Shu, Jihui Dong, Guohua Jin, Liangliang Yang, Zhou Hui, Hua Xu

“…The wind speed detection principle of this technology is analyzed, and the formulas for radial wind speed measurement error caused by random noise and wind speed measurement bias caused by Mie scattering signal contamination are derived. …”
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Efficacy and Safety of Dual Antiplatelet Therapy in Patients Undergoing Coronary Stent Implantation: A Systematic Review and Network Meta-Analysis by Yi Xu, Yimin Shen, Delong Chen, Pengfei Zhao, Jun Jiang

“…This Bayesian network meta-analysis was performed with the random-effects model. Results. Twenty-four RCTs (n = 81339) were included. …”
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Comparison of Robot-Assisted, Laparoscopic, and Open Radical Prostatectomy Outcomes: A Systematic Review and Network Meta-Analysis from KSER Update Series by Do Kyung Kim, Young Joon Moon, Doo Yong Chung, Hae Do Jung, Seung Hyun Jeon, Seok Ho Kang, Sunghyun Paick, Joo Yong Lee

“…We used a Bayesian hierarchical random-effects model to synthesize data from multiple studies, enabling both direct and indirect comparisons of the three surgical approaches (RARP, LRP, ORP) to provide robust estimates of their relative efficacy. …”
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Developing a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV by Mercadal-Orfila G, Serrano López de las Hazas J, Riera-Jaume M, Herrera-Perez S

“…Patient-Reported Outcome Measures (PROMs) and Patient-Reported Experience Measures (PREMs) have become essential in evaluating the broader impacts of treatments, especially for chronic conditions like HIV, reflecting patient health and well-being comprehensively.Purpose: The study aims to leverage Machine Learning (ML) technologies to predict health outcomes from PROMs/PREMs data, focusing on people living with HIV.Patients and Methods: Our research utilizes a ML Random Forest Regression to analyze PROMs/PREMs data collected from over 1200 people living with HIV through the NAVETA telemedicine system.Results: The findings demonstrate the potential of ML algorithms to provide precise and consistent predictions of health outcomes, indicating high reliability and effectiveness in clinical settings. …”
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SSR marker-based genetic diversity and structure analyses of Camellia nitidissima var. phaeopubisperma from different populations by Yang-Jiao Xie, Meng-Xue Su, Hui Gao, Guo-Yue Yan, Shuang-Shuang Li, Jin-Mei Chen, Yan-Yuan Bai, Jia-Gang Deng

“…The F had a negative value for four populations, suggesting that excessive random mating was present within each of them. Results of the analysis of molecular variance show that 19% of the total variation was attributed to among-individuals and 78% of the total variation originated from within-individuals. …”
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Changes in photoperiod during the dry period impact colostrum production in Holstein and Jersey cows by K.J. Alward, A.J. Duncan, A.D. Ealy, G.E. Dahl, C.S. Petersson-Wolfe, R.R. Cockrum

“…Holstein and Jersey cows (n = 33) were dried off 60 d before their due date and randomly assigned to SDPP (Holstein, n = 9; Jersey, n = 8) or LDPP (Holstein, n = 8; Jersey, n = 8) until calving. …”
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Expression of miR-141 and Osteogenic Gene Dlx5, Msx2 and Runx2 in Osteogenic Differentiation of BMSCs in Ovariectomized Osteoporosis Model Mice by Zhenpu WEI, Wenming ZHANG, Pan SUN, Zhiqiang WANG, Yanping LIN

“…Objective:To observe the expression difference and change trend of miR-141 and osteogenic gene Dlx5, Msx2 and Runx2 in osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) in the ovariectomy model group and the sham operation group, and investigate the mechanism of postmenopausal osteoporosis.Methods:Twenty 4-week-old clean C57 female mice were selected as the model group and the sham operation group according to the random number table method, and ten cases in each group. …”
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Intention to use eLearning-based continuing professional development and its predictors among healthcare professionals in Amhara region referral hospitals, Ethiopia, 2023: using mo... by Jenberu Mekurianew Kelkay, Sisay Maru Wubante, Deje Sendek Anteneh, Mitiku Kassaw Takilo, Chernet Desalegn Gebeyehu, Temesgen Ayenew Alameraw, Kassahun Dessie Gashu

“…Proportional allocation and simple random sampling were used to select participants for the study. …”
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Replication of European hypertension associations in a case-control study of 9,534 African Americans. by Harpreet Kaur, Dana C Crawford, Jingjing Liang, Penelope Benchek, COGENT BP Consortium, Xiaofeng Zhu, Asha R Kallianpur, William S Bush

“…Meta-analyses (including both BioVU and COGENT-BP cohorts) were performed using a random-effects model.<h4>Results</h4>We found rs880315 to be associated with systolic hypertension (SBP≥140 mmHg) in the entire cohort (OR = 1.14, p = 0.003) and within women only (OR = 1.16, p = 0.012). …”
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Effect of Intermittent High Intensity Aerobic Exercise on Exercise Endurance of Patients with Stroke Complicated with Coronary Heart Disease by Rongju YE, Leshan SUN, Zhen ZENG, Guo LI, Qin ZHANG, Zhilan LIU, Kai WANG

“…Objective:To observe the effect of intermittent high intensity aerobic exercise on exercise endurance and activities of daily living in patients with stroke complicated with coronary heart disease.Methods:A total of 180 patients with stroke complicated with coronary heart disease, were treated in Shanghai Fourth Rehabilitation Hospital, from February 2015 to December 2017. The patients were randomly divided into the control group, the medium intensity group and the high intensity group according to the method of random number table, with 60 cases in each group. …”
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Effect of Sling Exercise Therapy combined with Inspiratory Muscle Strength Training for Stroke Patients with Hemiplegia by Wenlin SUN, Dianhuai MENG, Yangyang LIU, Xiaoyong SU, Yang LIU, Fangfang ZHANG, Tiantian ZHAO

“…Objective:To observe the effect of sling exercise therapy combined with inspiratory muscle strength training on the balance and walking for stroke patients with hemiplegia.Methods:A total of 72 stroke patients with hemiplegia who were hospitalized in the Department of Rehabilitation Medicine of the first Affiliated Huai'an Hospital of Nanjing Medical University from January 2018 to August 2020, which were divided into the control group, the sling group and the combined group according to the random number table method, with 24 cases in each group. …”
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The environmental health literacy level was effectively improved of residents in Shaanxi Province, China, 2022 by Feidan Deng, Feidan Deng, Feidan Deng, Xinyue Wen, Xinyue Wen, Guoqiang Dong, Guoqiang Dong, Guoqiang Dong, Xining Wang, Xining Wang, Huifang He, Huifang He, Ruixuan Zhu, Lichun Qiao, Lichun Qiao, Jing Han, Jing Han, Jing Han

“…Participants were selected using a multi-stage random sampling method and surveyed through questionnaires in six cities. …”
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Resident-based learning model for sustainable resident participation in municipal solid waste management program by A. Ghazali, J. Tjakraatmadja, . Sunarti, E.Y.D. Pratiwi

“…The respondents were 490 residents, chosen using the purposive-random sampling method.    FINDING: The findings showed that the education strategy implemented in Bandung City, Indonesia presented effective results, based on waste reduction rate reaching up to 0, 47% at the city level from 2019 to 2020. …”
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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

“…A risk score based on t 3-ARG feature was developed to stratify NPC patients into two distinct risk groups using the optimal model, Random Survival Forest. NPC patients with high-risk scores experienced notably shorter progression-free survival in comparison to those with low-risk scores. …”
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