Analysis of digital maturity of the Russian regions by V. V. Stroev, S. V. Sidorenko

“…The assessment methodology is based on the collection and analysis of statistical data, on surveys of experts and the population as well as on the study of best digitalisation practices at the regional level. …”
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The Effectiveness of Wisdom Training on Academic Emotions, Academic Motivation and Subjective Vitality in Students by Masoomeh Azizi, Abolghasem Yaghoobi

“…In order to analyze the data, mixed method analysis of variance was used. …”
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Presentation of CXCL12γ by heparan sulfate proteoglycans activates CXCR4 without desensitization in normal and malignant B cells by Hildo C. Lantermans, Fangxue Ma, Annemieke Kuil, Martin F. M. de Rooij, Nick D. Bergkamp, Werner van der Meer, Jaap D. van Buul, Martine J. Smit, Marie José Kersten, Marcel Spaargaren, Steven T. Pals

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Neuroimaging biomarkers of psychogenic erectile dysfunction: protocol for a systematic review by Tao Yin, Zhengjie Li, Jing Xiong, Lei Lan, Ruirui Sun, Feiqiang Ren, Peihai Zhang

“…If the collected data make it feasible, an activation likelihood estimation meta-analysis will also be launched.Ethics and dissemination Ethical approval is not required as primary data will not be collected. …”
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The Effectiveness of Teaching Spiritual Concepts Based on Mention and Prayer on Moral Intelligence and Quality of Attachment in Students by سارا آقابابایی, Fateme Hekmatzade

“…Zikr and prayer were used as techniques to reinforce the discussed topics in the students.Steps for Designing the Spiritual Concepts Training Package1.Review of Existing ResourcesThe following resources were studied to inform the intervention:Sweet Tales of Tazkirat al-Awliya (Alar, 2013).Life is Calling You (Safaeian, 2014) .Flight to Infinity (Ghazi Mirsaiid et al, 2014) .Exploring the Role of Prayer in Physical and Mental Health (Azhdar et al, 2011) .Spiritual Interventions in Child and Adolescent Psychotherapy (Walker & Hathaway, 2012/2017).Development of the Training Package:Based on the review of these resources, a comprehensive training package was designedInitial Implementation:The training package was tested on three students in a preliminary phaseExpert Feedback:Feedback was gathered from psychology experts using the Content Validity Ratio (CVR) and Content Validity Index (CVI).Implementation of the Intervention:The finalized training package was applied to the experimental and control groups for assessmentResultsThe data from this study were analyzed in two stages: descriptive and inferential statistics. …”
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Predicting patients with septic shock and sepsis through analyzing whole-blood expression of NK cell-related hub genes using an advanced machine learning framework by Chao Du, Chao Du, Chao Du, Stephanie C. Tan, Stephanie C. Tan, Heng-Fu Bu, Heng-Fu Bu, Saravanan Subramanian, Saravanan Subramanian, Hua Geng, Hua Geng, Xiao Wang, Xiao Wang, Hehuang Xie, Xiaowei Wu, Tingfa Zhou, Ruijin Liu, Zhen Xu, Bing Liu, Xiao-Di Tan, Xiao-Di Tan, Xiao-Di Tan

“…BackgroundSepsis is a life-threatening condition that causes millions of deaths globally each year. …”
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Cross-species comparison of rodent and human decision-making in the Iowa Gambling Task in select neurological and psychiatric disorders: translational approach to examine age- and... by Varsha Singh, Manjari Tripathi, Sarat P. Chandra, Rohit Verma, Sushil Kumar Jha, Harvinder Singh Chhabra, Mrinmoy Chakravarty, Mrinmoy Chakravarty, Shambhovi Mitra, Indupriya B, Ankit Jha, Sakshi Sharma, Jyotsna Pandey, Divyanshi Pandey, Insha Shamshad, Ekta Ahlawat, Titli Saha, Chloé César, Suman Jain

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Modern Approaches to Enteral Nutrition in Intensive Care by M. M. Potskhveriya, Yu. S. Goldfarb, V. A. Matkevich, A. A. Ryk

“…The analysis of the literature data allowed us to establish that today enteral nutrition (EN) is unanimously recognized by specialists as the preferred method of nutritional therapy, which significantly affects the course of critical conditions (CC). …”
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A hybrid machine learning algorithm approach to predictive maintenance tasks: A comparison with machine learning algorithms by Jorge Paredes, Danilo Chávez, Ramiro Isa-Jara, Diego Vargas

“…Digital transformation has enabled the industrial sector to digitize all of its production processes, generating a vast quantity of data from sensors and actuators deployed along production lines. …”
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Safety and performance of oropharyngeal muscle strength training in the treatment of post-stroke dysphagia during oral feeding: protocol for a systematic review and meta-analysis by Xin Wang, Ying Wang, Fenghua Zhou, Minxing Gao, Lingyuan Xu, Heying Wang, Jinan Song, Xiaoqiu Yang

“…Two authors will independently screen the articles, extract the data and assess the study quality. Any disagreements during this process will be resolved by discussion or by consultation with a third author. …”
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Evaluating the occupation-based complex intervention for living well with anxiety and Parkinson’s disease (OBtAIN-PD) in community rehabilitation teams in the UK: a feasibility clu... by Christopher Hayward, Wendy Ingram, Jonathan Marsden, Matthew Peter Bailey, Joanne Hosking, Ingrid Sturkenboom, Chris Lovegrove, Katrina Bannigan, Paigan Aspinall

“…Ethical approval has been obtained from the North East - York Research Ethics Committee (reference 23/NE/0027) before data collection. Participants will receive a summary of the results at the end of the data analysis. …”
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Artificial intelligence and anti-cancer drugs' response by Xinrui Long, Kai Sun, Sicen Lai, Yuancheng Liu, Juan Su, Wangqing Chen, Ruhan Liu, Xiaoyu He, Shuang Zhao, Kai Huang

“…It provides a detailed exposition of the processes involved in data processing and model construction, examines the current challenges faced in this field and future development directions, with the aim of better advancing the progress of precision medicine.…”
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LSTM and ResNet18 for optimized ambulance routing and traffic signal control in emergency situations by Madallah Alruwaili, Ali Ali, Mohammed Almutairi, Abdulaziz Alsahyan, Mahmood Mohamed

“…Visual data is processed through a ResNet18 convolutional neural network, pre-trained on ImageNet using inductive transfer learning. …”
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Robust Seizure Prediction Model Using EEG Signal for Temporal Lobe Epilepsy Leveraging Deep Learning and Continual Learning by Bikash Chandra Sahoo, Shruti Mishra, Sandeep Kumar Satapathy, Sachin Kumar

“…With deep learning ability to capture temporal dependencies in sequential data, they offer promising avenues for modeling the temporal dynamics of epileptic seizures. …”
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Acupuncture for angina post percutaneous coronary intervention: a protocol for systematic review and meta-analysis by Xin Zhou, Yulan Ren, Wen Xie, Yanwei Li, Yongjun Yin, Yilan Wang

“…Introduction Ischaemic heart disease (IHD) is a pathological process characterised by a blockage or non-obstructive accumulation of atherosclerotic plaques in the epicardial arteries. …”
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Moringa-Based Coating Preserves Organic Acids and Antioxidant Compounds of ‘Ester’ Granadilla Fruit Exocarps During Storage by Yaone C. Moseki, Nkanyiso J. Sithole, Sbulelo Mwelase, Bonga L. Ngcobo, Khayelihle Ncama

“…Strong correlations between MA and TAO (r > 0.82), as well as TA and TAO (r > 0.86), indicated the potency of developing TAO estimation models using multivariate data from the organic acids. Pre-processed data regression models were developed but were limited by the amount of data collected. …”
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The Impact of Depression and Dietary Practices on Polycystic Ovarian Syndrome Among Females of Northern Punjab, Pakistan by Bareera Eman, Allah Rakha, Iahtisham-Ul-Haq, Urwa Tariq, Muqadas Zia, Ayesha Saddiqa

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Understanding Caregiver Burden in Severe Pediatric Asthma - A Qualitative Study by Wu P, Zhang J, Hu Y

“…Through these 12 in-depth one-on-one interviews, all necessary study data were obtained. The study identified the following four main burdens for caregivers of children with severe asthma: 1) Multiple barriers to the care-giving process. …”
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The Impact of Depression and Dietary Practices on Polycystic Ovarian Syndrome Among Females of Northern Punjab, Pakistan by Bareera Eman, Allah Rakha, Iahtisham-Ul-Haq, Urwa Tariq, Muqadas Zia, Ayesha Saddiqa

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Exploring the course of functional somatic symptoms (FSS) from pre- to late adolescence and associated internalizing psychopathology – an observational cohort-study by Lina Münker, Martin Køster Rimvall, Lisbeth Frostholm, Eva Ørnbøl, Kaare Bro Wellnitz, Pia Jeppesen, Judith Gerarda Maria Rosmalen, Charlotte Ulrikka Rask

“…Self-report questionnaire and interview data on FSS, internalizing psychopathology, chronic medical conditions, and sociodemographic data from Danish national registers were available for 1285 youths. …”
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