The effectiveness of non-invasive brain stimulation in enhancing lower extremity function in children with spastic cerebral palsy: Protocol for a systematic review and meta-analysi... by Clàudia Arumí-Trujillo, Francisco José Verdejo-Amengual, Oriol Martínez-Navarro, Jord J.T. Vink, Fran Valenzuela-Pascual

“…Two independent reviewers will manage screening, selection, data extraction, risk of bias assessment, and grading of evidence. …”
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Stochastic Photoresponse‐Driven Perovskite TRNGs for Secure Encryption Systems by Dante Ahn, Minz Lee, Woochul Kim, Yeon Kyung Lee, Jun Young Lee, Gun Young Jung, Hangyeol Choi, Yohan Yoon, Hyun Seok Song, Heon Lee, Minah Seo, Jungwook Min, Yusin Pak

“…With the exponential growth of data driven by advancements in artificial intelligence, robust encryption for communications has become increasingly important. …”
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TIRE-seq simplifies transcriptomics via integrated RNA capture and library preparation by Piper O’Keeffe, Yasmin Nouri, Hui Shi Saw, Zachery Moore, Tracey M. Baldwin, Sam W. Z. Olechnowicz, Jafar S. Jabbari, David McG Squire, Stephen Leslie, Changqing Wang, Yupei You, Matthew E. Ritchie, Ryan S. Cross, Misty R. Jenkins, Cindy Audiger, Shalin H. Naik, James R. Whittle, Saskia Freytag, Sarah A. Best, Peter F. Hickey, Daniela Amann-Zalcenstein, Rory Bowden, Daniel V. Brown

“…This streamlined approach reduces turnaround time, minimizes sample loss, and improves data quality. A comparative study with the widely used Prime-seq protocol demonstrates TIRE-seq’s superior sequencing efficiency with crude cell lysates as inputs. …”
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Metabolomic profiles and health-promoting potential of Euchresta japonica tissues revealed by widely targeted metabolomics by Liai Xu, Liai Xu, Xi Liu, Xiangdong Pan, Sinan Xu, Qinglian Wu, Chengyi Ma, Zupei Lei, Yeqing Ying

“…Euchresta japonica, a medicinal plant in Chinese herbal medicine, lacks comprehensive metabolite data to explain its health benefits despite its long-standing use. …”
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A Method for Estimating Instantaneous Predicted Mean Vote Under Dynamic Conditions by Accounting for Thermal Inertia by László Lenkovics, László Budulski, Gábor Loch, Anett Tímea Grozdics, Ágnes Borsos, Zsolt Kisander, János Girán, Mária Eördöghné Miklós, Balázs Cakó

“…We collected experimental data using a thermal comfort measurement station, a thermal manikin, and human subjects in a controlled climate chamber. …”
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Development of a Person-Centred Coordinated Care Pathway in Swedish Healthcare for Low Back Pain by Allan Abbott, Malin Forsbrand, Thomas Torstensson, Ann-Charlotte Lindström, Gudrun Greim, Sammy Klaff, Åsa Niper, Marc Karlsson, Christian Simonsberg, Mimmi Engström, Tommy Olsson, Annelie Petersson, Per Ekman, Peter Försth, Gösta Ullmark, Steven J. Linton

“…Updated evidence-based clinical recommendations, tools supporting the practical use of the national P3C pathway and national healthcare data registry-based quality outcome indicators were then developed. …”
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Advancing macromolecular structure determination with microsecond X-ray pulses at a 4th generation synchrotron by Julien Orlans, Samuel L. Rose, Gavin Ferguson, Marcus Oscarsson, Alejandro Homs Puron, Antonia Beteva, Samuel Debionne, Pascal Theveneau, Nicolas Coquelle, Jerome Kieffer, Paolo Busca, Jeremy Sinoir, Victor Armijo, Marcos Lopez Marrero, Franck Felisaz, Gergely Papp, Herve Gonzalez, Hugo Caserotto, Fabien Dobias, Jonathan Gigmes, Guillaume Lebon, Shibom Basu, Daniele de Sanctis

“…SµX, as demonstrated at ID29, will quickly find its broad applicability at upcoming 4th generation synchrotron sources worldwide and opens a new frontier in time-resolved SµX.…”
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Advanced carbon as emerging energy materials in lithium batteries: A theoretical perspective by Legeng Yu, Xiang Chen, Nan Yao, Yu‐Chen Gao, Yu‐Hang Yuan, Yan‐Bin Gao, Cheng Tang, Qiang Zhang

“…Their electronic conductivities are explored, followed by applications in cathode and anode performance. While the role of theoretical models is emphasized, experimental data are also touched upon to clarify background information and show the effectiveness of strategies. …”
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The supramolecular processing of liposomal doxorubicin hinders its therapeutic efficacy in cells by Annalisa Carretta, Aldo Moscardini, Giovanni Signore, Doriana Debellis, Federico Catalano, Roberto Marotta, Valentina Palmieri, Giulia Tedeschi, Lorenzo Scipioni, Daniela Pozzi, Giulio Caracciolo, Fabio Beltram, Francesco Cardarelli

“…Food and Drug Administration) as an anticancer nanodrug in clinical applications is contradicted by in vitro cell viability data that highlight its reduced efficacy in promoting cell death compared with non-encapsulated doxorubicin. …”
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Bioactivity descriptors for uncharacterized chemical compounds by Martino Bertoni, Miquel Duran-Frigola, Pau Badia-i-Mompel, Eduardo Pauls, Modesto Orozco-Ruiz, Oriol Guitart-Pla, Víctor Alcalde, Víctor M. Diaz, Antoni Berenguer-Llergo, Isabelle Brun-Heath, Núria Villegas, Antonio García de Herreros, Patrick Aloy

“…The broad release of bioactivity data has prompted enriched representations of compounds, reaching beyond chemical structures and capturing their known biological properties. …”
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A review of altimetry waveform retracking for inland water levels by Xinyuan Deng, Linghong Ke, Liguang Jiang, Karina Nielsen, Xiaomei Fan, Jida Wang, Chunqiao Song

“…Considering the selection of different data and retrackers in varying scenarios, a synthesis analysis is conducted based on results reported in previous literature. …”
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Enhancing CO₂ selectivity in MOFs through a dual-ligand strategy: Experimental and theoretical insights by Amir Kazemi, Akram Karbalaee Hosseini, Mahyar Ashourzadeh Pordsari, Mohsen Tamtaji, Saber Keshavarz, Faranak Manteghi, Azadeh Tadjarodi, Ahad Ghaemi, Sohrab Rohani, William A. Goddard

“…In addition, to validate the data and improve the analysis, theoretical studies indicated moderate interactions between CO₂ and the metal centers. …”
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Collagen glycosylation, hip structural analysis, and trabecular bone score in adolescents with type 1 diabetes: a cross-sectional study by Sowmya Krishnan, Christopher E. Aston, Jennifer Chadwick, Shelly Gulati, Huaiwen Wang, Susan B. Sisson, Madhusmita Misra, Steven D. Chernausek

“…Clinical trial number Not applicable…”
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Presenting the model of social entrepreneurship in the development of rural tourism in the target villages of Gilan province by Fatemeh Doozandeh Ziabari, hamed fallah tafti, Mir Mohammad Asadi, Mahdi Basouli

“…The obtained results showed that the nine main factors affecting the formation of higher education tourism in Iran in order of influence are: dynamic political exchanges with the world at the national level, the existence of macro-national policies in the field of academic interaction, facilitating the process of acceptance in political and administrative dimensions, the existence of economic and technical infrastructures for foreign students, the international language level of faculty members and staff as well as the structure of dynamic and accepting higher education, the existence of a sense of security in social, security and political dimensions for foreign students, and branding factors of universities and introducing historical, cultural and religious attractions to the world.Ratten (2020) in a research comprehensively examined researches in the field of entrepreneurship in tourism and it is noted that it focused on lifestyle and sustainable forms of tourism entrepreneurship without considering emerging technologies and other forms of entrepreneurship like digital and social.Research methodologyThe research method is qualitative and applicable. The statistical population of the research includes 10 managers, experts and university professors in the field of tourism, selected by purposeful sampling and inviting interviewees.Research findingsThe results of the qualitative questionnaire and open interview with the sample members, after taking notes and transferring to the system, were analyzed using coding and the data-based method and Maxqda software, and the output and the final model were reported. …”
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Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

“…This study evaluates various base ML algorithms and stacking ensemble classifiers (meta-classifiers) using data from 90 groundwater samples collected in District Bagh, Azad Kashmir, Pakistan. …”
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A Density Functional Theory-Based Particle Swarm Optimization Investigation of Metal Sulfide Phases for Ni-Based Catalysts by Houyu Zhu, Xiaohan Li, Xiaoxin Zhang, Yucheng Fan, Xin Wang, Dongyuan Liu, Zhennan Liu, Xiaoxiao Gong, Wenyue Guo, Hao Ren

“…Nickel (Ni) catalysts have numerous applications in the chemical industry, but they are susceptible to sulfurization, with their sulfurized structures and underlying formation mechanisms remaining unclear. …”
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Development of an AI model for DILI-level prediction using liver organoid brightfield images by Shiyi Tan, Yan Ding, Wei Wang, Jianhua Rao, Feng Cheng, Qiuyin Zhang, Tingting Xu, Tianmu Hu, Qinyi Hu, Ziliang Ye, Xiaopeng Yan, Xiaowei Wang, Mingyue Li, Peng Xie, Zaozao Chen, Geyu Liang, Yuepu Pu, Juan Zhang, Zhongze Gu

“…Abstract AI image processing techniques hold promise for clinical applications by enabling analysis of complex status information from cells. …”
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A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice by Cristina Méndez-Vidal, Nereida Bravo-Gil, Javier Pérez-Florido, Irene Marcos-Luque, Raquel M. Fernández, José Luis Fernández-Rueda, María González-del Pozo, Marta Martín-Sánchez, Elena Fernández-Suárez, Marcela Mena, Rosario Carmona, Joaquín Dopazo, Salud Borrego, Guillermo Antiñolo

“…The steps taken towards the integration of clinical and genomic data are opening new possibilities for conducting both retrospective and prospective healthcare studies. …”
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deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning by Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma

“…Further cross‐species prediction of TFBS in wheat showed that deepTFBS yielded a significant PRAUC improvement of 30.6% over these three baseline models. deepTFBS can also utilize information from gene conservation and binding motifs, enabling efficient TFBS prediction in species where experimental data availability is limited. A case study, focusing on the WUSCHEL (WUS) transcription factor, illustrated the potential use of deepTFBS in cross‐species applications, in our example between Arabidopsis and wheat. deepTFBS is publically available at https://github.com/cma2015/deepTFBS.…”
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A pharmacist-led educational and audit & feedback strategy to reduce antibiotic prescription in primary care: the AFA study by A. Soler, A. Huguet, A. Leiva, C. Vicens, F. Bejarano-Romero, E. Sempere, T. Izquierdo, M. M. Parera, R. Seco, M. Fages, A. Medina, L. Castillo-Palomares, E. López-Guerrero, B. A. Ferrer, L. Ugarriza, M. Llarena, L. Gallardo-Alfaro, AFA study investigators

“…Ethics and dissemination The study was approved by the Balearic island, Valencia and IDIAP Jordi Gol Ethical Committee, follows the Declaration of Helsinki, Good Clinical Practice guidelines, and applicable national and European regulations concerning clinical trials and data protection. …”
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