Results of the population study of the prevalence and risk factors of the food intolerance in children of different school age by О. Р. Pakholchuk

“…Questionnaire was created on the base of the ISAAC survey and included questions on the life style, food, early age. For the assessment of the skin symptoms severity SCORAD scale was used. …”
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Results of kidney transplantation in patients with end-stage renal failure caused by autosomal dominant polycystic kidney disease by V. S. Daineko, A. N. Ananiev, E. S. Nevirovich, A. E. Skvorcov, S. A. Budylev, А. N. Selivanov, M. M. Moskalenko, V. A. Manukovskiy, O. N. Reznik

“…During the study, an algorithm of examination and surgical preparation for inclusion patients with PKD in the waiting list for kidney transplantation was developed and actively used.Results. …”
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Restoring flowcell type and basecaller configuration from FASTQ files of nanopore sequencing data by Jun Mencius, Wenjun Chen, Youqi Zheng, Tingyi An, Yongguo Yu, Kun Sun, Huijuan Feng, Zhixing Feng

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Transcriptomic Analysis of the Spleen from Asian Seabass (<i>Lates calcarifer</i>) Infected with Infectious Spleen and Kidney Necrosis Virus by Hong-Yi Xin, Lim Xin Ying, Lee Ching Pei Carmen, Mookkan Prabakaran

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Developmental trends in headache: an Italian school-based study of age- and gender-related changes in clinical characteristics and burden from childhood to adolescence by Federico Salfi, Gennaro Saporito, Simone Cesarano, Federica Guerra, Pamela Silva, Dina Di Giacomo, Elisabetta Tozzi, Michele Ferrara, Bruno Colombo, Francesca Pistoia

“…Background: Pediatric headache disorders are a significant public health issue, affecting school performance, social participation, and quality of life. Objective: Our aim was to explore the age- and gender-related changes in the characteristics and burden of headaches from childhood to adolescence, with a focus on diagnostic shifts, frequency, intensity, and quality-of-life. …”
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Analysis of prognostic factors and nomogram construction for postoperative survival of triple-negative breast cancer by Chenxi Wang, Xiangqian Zhao, Dawei Wang, Jinyun Wu, Jizhen Lin, Weiwei Huang, Yangkun Shen, Qi Chen

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Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning by Ittipon Khuimphukhieo, Jose Carlos Chavez, Chuanyu Yang, Lakshmi Akhijith Pasupuleti, Ismail Olaniyi, Veronica Ancona, Kranthi K. Mandadi, Jinha Jung, Juan Enciso

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Efficient evidence selection for systematic reviews in traditional Chinese medicine by Yizhen Li, Zhe Huang, Zhongzhi Luan, Shujing Xu, Yunan Zhang, Lin Wu, Darong Wu, Dongran Han, Yixing Liu

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Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis by Anantha Narayanan, Scott Duncan, Conal Smith, Flora Le, Lisa Mackay, Julia McPhee, Basile Chaix, Tom Stewart

“…Time-use data were processed using UK Biobank machine learning algorithms. We employed Bayesian multilevel compositional analysis to investigate how time-use behaviours, and reallocating time between behaviours, were associated with both life satisfaction and momentary affective states. …”
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Development and validation of an interpretable machine learning model for retrospective identification of suspected infection for sepsis surveillance: a multicentre cohort studyRes... by Renée A.M. Tuinte, Luuk P.J. Smolenaers, Bram T. Knoop, Konstantin Föhse, Tamar J. van der Aart, Hjalmar R. Bouma, Mihai G. Netea, Katrijn Van Deun, Jaap ten Oever, Jacobien J. Hoogerwerf

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Niche Overlap Between Two Sympatric Steppe Birds in Inner Mongolia: Habitat Selection and Insights for Conservation by Zheng Han, Xi Yang, Lishi Zhang, Frédéric Jiguet, Piotr Tryjanowski, Haitao Wang

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Exploring the binding potential of natural compounds to carbonic anhydrase of cyanobacteria through computer-based simulations by Archana Padhiary, Showkat Ahmad Mir, Aiswarya Pati, Binata Nayak

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Classification of the Condition of Cancer Patients Receiving Home Health Care with Machine Learning Methods by Mürsel Kahveci

“…This process plays a critical role in assessing patients' quality of life and supporting the treatment process. We thought that the use of machine learning in the field of cancer treatment and patient care could contribute to better patient outcomes and increased quality of life. …”
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Robust EEG Characteristics for Predicting Neurological Recovery from Coma After Cardiac Arrest by Meitong Zhu, Meng Xu, Meng Gao, Rui Yu, Guangyu Bin

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Exploring happiness factors with explainable ensemble learning in a global pandemic. by Md Amir Hamja, Mahmudul Hasan, Md Abdur Rashid, Md Tanvir Hasan Shourov

“…The World Happiness Report (WHR), published annually, includes data on 'GDP per capita', 'social support', 'life expectancy', 'freedom to make life choices', 'generosity', and 'perceptions of corruption'. …”
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Psychosocial risk factors among young people of medium urban Siberian city: a gender aspect (according to a cross-sectional epidemiological study) by E. V. Akimova, M. Y. Akimov, E. I. Gakova, M. M. Kayumova, V. V. Gafarov, V. A. Kuznetsov

“…The PSF examination was carried out according to the algorithms of the WHO MONICA-Psychosocial Program.Results. …”
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Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon by Vahid Khosravi, Asa Gholizadeh, Radka Kodešová, Prince Chapman Agyeman, Mohammadmehdi Saberioon, Luboš Borůvka

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Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images by Saeideh Maleki, Nicolas Baghdadi, Hassan Bazzi, Cassio Fraga Dantas, Dino Ienco, Yasser Nasrallah, Sami Najem

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Epidemiology and clinical features of psoriasis in hard-to-treat body locations: a Chinese nationwide population-based study by Lingyi Lu, Lu Cao, Fan Jiang, Sihan Wang, Yingzhe Yu, Hua Huang, Bingjiang Lin

“…Abstract Background Having psoriasis in hard-to-treat areas, such as the scalp, face, palms, soles, nails, and genitals, can suffer from a reduced quality of life. This study was designed to investigate the prevalence and risk factors of hard-to-treat body locations of psoriasis, and to describe patients’ clinical and demographic characteristics, and quality of life impacts. …”
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Predicting cardiotoxicity in drug development: A deep learning approach by Kaifeng Liu, Huizi Cui, Xiangyu Yu, Wannan Li, Weiwei Han

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