Smartphone intervention for pregnancy smoking cessation with peer support: the study protocol of the SmokeFree Together 2.0 (SFT 2.0) randomised controlled trial by Ken Resnicow, Kristie Foley, Daniel Muresan, Oana M Blaga, Marina D Dascal, Alexandra Onișor, Teodora Frățilă, Andreea Morar, Dan Mihu, Cristian I Iuhas, Gabriela Caracostea, Cristian I Meghea

“…The app leverages the unique functionality of smartphones and reinforcement learning (RL) to provide a deeply tailored intervention that continuously adapts while emphasising positive support through reciprocal interactions between the smoker and the support person. …”
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Barreras y facilitadores en el cuidado de personas mayores dependientes: una visión desde los cuidadores informales en la atención primaria by Angélica Valencia Guevara, Evelyn Iriarte, Solange Campos Romero

“…Results: From the twelve interviews carried out, various categories and subcategories emerged: 1) Care facilitators: support networks, sharing experience, the importance of love and affection in the care process, coping mechanisms of the caregiver, and self-learning. 2) Care barriers: dissatisfaction with the quality of care from the health system, lack of support from the networks, older adults’ greater degree of functional dependence, lack of tolerance of the informal caregiver, challenging behaviors of the functionally dependent older adult, and fear of delegating care. …”
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Integration of single-cell transcriptomics and bulk transcriptomics to explore prognostic and immunotherapeutic characteristics of nucleotide metabolism in lung adenocarcinoma by Kai Zhang, Kai Zhang, Luyao Wang, Huili Chen, Lili Deng, Mengling Hu, Ziqiang Wang, Yiluo Xie, Chaoqun Lian, Xiaojing Wang, Xiaojing Wang, Jing Zhang

“…In addition, patients of different subtypes showed significant differences in genomic mutation and functional enrichment and exhibited different anti-tumor immune profiles. …”
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Structural brain network organization in children with prenatal alcohol exposure by Xiaoyun Liang, Claire E. Kelly, Chun-Hung Yeh, Thijs Dhollander, Stephen Hearps, Peter J. Anderson, Deanne K. Thompson

“…Introduction: There is growing evidence suggesting that children with prenatal alcohol exposure (PAE) struggle with cognitively demanding tasks, such as learning, attention, and language. Complex structural network analyses can provide insight into the neurobiological underpinnings of these functions, as they may be sensitive for characterizing the effects of PAE on the brain. …”
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Multi-step prediction of coal mine adit deformation based on time convolutional long short-term memory by Wenli JI, Xin DAN, Chenyang MA, Jing CHAI, Yuyi WU, Fengqi QIU, Wentao LIU, Wulin LEI, Yongliang LIU

“…Based on the application of fiber optic monitoring for adit deformation, A multi-step prediction model is proposed which is built with Ensemble Empirical Mode Decomposition (EEMD) integrated with TCN-LSTM deep learning network for adit deformation. Firstly, the monitoring data containing noise is decomposed into several Intrinsic Mode Functions (IMF) components using the EEMD method. …”
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Facilitators and barriers to implementing and sustaining facility-based stillbirth reviews in India: a qualitative study by Yebeen Ysabelle Boo, Rupanjali Deka, Aliki Christou, Uchenna Gwacham-Anisiobi, Jenny Gong, Monica Lakhanpaul, Jennifer J. Kurinczuk, Manisha Nair

“…We applied the capability, opportunity, motivation, and behaviour (COM-B) model to identify facilitators and barriers and used the Behaviour Change Wheel to link these to intervention functions. Results Important factors related to capability included record-keeping skills, understanding the importance of documentation, and training on how to conduct effective stillbirth reviews. …”
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Transcriptome-wide analysis reveals potential roles of CFD and ANGPTL4 in fibroblasts regulating B cell lineage for extracellular matrix-driven clustering and novel avenues for imm... by Hongwei Wang, Yu-nan Zhu, Sifan Zhang, Kexin Liu, Rong Huang, Zhigao Li, Lan Mei, Yingpu Li

“…However, the compositional patterns of ECM in breast cancer and their underlying biological functions remain elusive. Methods Transcriptome and genome data of breast cancer patients from TCGA database was downloaded. …”
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Strength-agility and fine motor are differently associated with non-verbal intelligence in dependency to sex and age in school children: Structural equation modelling multigroup ap... by Martin Musálek, Chipo Malambo, Jan Chrudimský, Jakub Kokštejn, Radka Bačáková, Šárka Vokounová

“…Background: In today's digital age, demanding to interpret vast quantities of visual information with speed and accuracy, nonverbal Intelligence has become increasingly crucial for children, as it plays a key role in cognitive development and learning. While motor proficiency has been positively linked to various cognitive functions in children, its relationship with nonverbal Intelligence remains an open question. …”
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IMPLEMENTATION OF MUSIC THERAPY IN THE CONTENT OF MODERN UNIVERSITY EDUCATION IN UKRAINE by Dobrovolska Rufina

“…The article examines scientific studies that confirm the usefulness of music therapy for mental health and improving human cognitive functions. The author also offers specific recommendations for the introduction of music therapy into the educational process, in particular, the use of music in lectures, seminars and other forms of classes. …”
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The implementation, use and sustainability of a clinical decision support system for medication optimisation in primary care: A qualitative evaluation. by Mark Jeffries, Nde-Eshimuni Salema, Libby Laing, Azwa Shamsuddin, Aziz Sheikh, Anthony Avery, Antony Chuter, Justin Waring, Richard N Keers

“…Engagement between stakeholders was considered important for the intervention in ensuring prescribers continued to utilise its functionality. Sustained implementation might be enhanced by careful profile management of the suite of alerts in the system. …”
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Editorial by Teddy Surya Gunawan

“…Contributions on flexible antenna designs, mobile applications for dyslexic learners, and modified grey relational analysis further showcase how electronics and AI are increasingly embedded in daily societal functions. In Materials and Manufacturing Engineering, the research on MSW-derived biochar for iron production and voltage-induced void formation in boiler tubes exemplifies innovation in resource utilization and reliability of industrial systems. …”
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MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data by Katarzyna Arturi, Eliza J. Harris, Lilian Gasser, Beate I. Escher, Georg Braun, Robin Bosshard, Juliane Hollender

“…MLinvitroTox is a machine learning (ML) framework comprising 490 independent XGBoost classifiers trained on molecular fingerprints from chemical structures and target-specific endpoints from the ToxCast/Tox21 invitroDBv4.1 database. …”
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O papel formativo e social da universidade pública nas campanhas de imunização para a COVID-19 by Jarbas da Silva Ziani, Bruna Marta Kleinert Halberstadt, Jenifer Härter, Cristiane Lima de Moraes, Ana Paula de Lima Escobal

“…The experience contributed to the teaching and learning of students through the planning, execution, monitoring, and control of the activities of the vaccination campaign. …”
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Diagnostic purposes of education: Problems, strategies and solutions by А. P. Usol’tsev, Т. N. Shamalo, Е. P. Аntipovа

“…The diagnostic purpose deformation is caused by dividing the functions between those who control education and those who perform it – teachers. …”
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What is the Role of Medical Informatics in Digital Healthcare? by Mihai TĂRÂŢĂ

“… • Clinical Decision Support Systems (CDSS) – Leveraging AI and machine learning to assist clinicians with diagnostics, treatment planning, and alerting for drug interactions or abnormal test results…”
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The potential role of biomarkers CD28 and PF4 in the pathogenesis of idiopathic pulmonary fibrosis and their impact on the prognosis: an immune microenvironment analysis by Li Yan, Jiang-Han Li, Ai-Li Zhang, He Li, Bo Pang, De-Yang Meng, Qian Fu, Li-Juan Du, Yan Su

“…Finally, functional enrichment analysis, immune infiltration analysis, regulatory network construction, and reverse transcription quantitative PCR (RT-qPCR) were conducted separately to validate the findings. …”
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Estimation of mangrove heights and aboveground biomass using UAV-LiDAR, Sentinel-1 and ZY-3 stereo images by Bolin Fu, Yingying Wei, Linhang Jiang, Hang Yao, Xiaomin Li, Yanli Yang, Mingming Jia, Weiwei Sun

“…In this study, we constructed mangrove height inversion models using multiple types of remote sensing data and machine learning algorithms (partial least squares regression (PLSR), random forest (RF), and mixture density network (MDN)). …”
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Analisis Sistem Pelaksanaan Kelas Ibu Hamil di Puskesmas Malalak dan Biaro Kabupaten Agam by Ayu Nurdiyan, Desmiwarti ., Rizanda Machmud

“…In the whole system there is a lack of active role of midwife as a midwivery care practitioner in community in performing her duties and functions and there is none of interprofessional collaboration in implementation of this program. …”
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An FPGA-Based SiNW-FET Biosensing System for Real-Time Viral Detection: Hardware Amplification and 1D CNN for Adaptive Noise Reduction by Ahmed Hadded, Mossaad Ben Ayed, Shaya A. Alshaya

“…The SiNW-FET biosensor, functionalized with antibodies specific to viral antigens, detects impedance shifts caused by antibody–antigen interactions, providing a highly sensitive platform for viral detection. …”
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Immune Regulation and Disulfidptosis in Atherosclerosis Influence Disease Progression and Therapy by Wei Lu, Zhidong Zhang, Gang Qiao, Gangqiang Zou, Guangfeng Li

“…A diagnostic risk score model was developed and rigorously tested through Receiver Operating Characteristic analysis. To illustrate the functional impact of CTSC on the regulation of plaque formation and SMC viability, both in vitro and in vivo experimental investigations were conducted. …”
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