Functional improvement by tendon transfer for residual wrist dysfunction after botulinum therapy for severe upper limb spasticity: a case report by Takatoshi Hara, Yuta Miyazaki, Daisuke Nishida, Naho Takahashi, Keiko Sone, Yuki Hara, Ayano Matsui, Masahiro Abo

“…This case illustrates the critical role of tendon transfer surgery as a complementary intervention to overcome the limitations of conservative treatments, leading to substantial functional recovery. Future studies should aim to establish clear criteria for selecting candidates for tendon transfer surgery to ensure optimal functional outcomes for patients with severe spasticity.…”
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<i>Spinacia oleracea</i> L. Baby Leaves as a Source of Bioactive Principles: The Chemical Profiling of Eco-Sustainable Extracts by Using LC-ESI/HRMS- and ¹H NMR-Based Me... by Antonietta Cerulli, Luciana Maria Polcaro, Milena Masullo, Sonia Piacente

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Preparation of Magnetic Molecularly Imprinted Polymers Based on Group Sensing Quenching and Their Adsorption Characteristics on Signaling Molecules by Junqiang SUN, Haiyang YANG, Yao QU, Huarong YU, Fangshu QU, Yuxuan WAN

“…Using methacrylic acid (MAA) as a functional monomer, and azobisisobutyronitrile (AIBN) as the initiator, a magnetic molecularly imprinted polymer (DMHF/SMIP) with selective adsorption for DMHF was successfully prepared via surface polymerization. …”
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Fabrication effect on SLM and cast Inconel 718 properties for energy conversion by Hafiz Muzammil Irshad, Ameeq Farooq, Muhammad Ammar, Abbas Saeed Hakeem, Bilal Anjum Ahmed, Samaneh Shahgaldi, Muhammad Ali Ehsan, Khalid Askar

“…This study investigates the effect of fabrication methods on the microstructural, mechanical, and electrochemical durability of nickel alloy IN718, aiming to establish it as a cost-effective electrode material for direct seawater electrolysis using renewable energy sources. Selective laser melting (SLM) and conventional casting methods were used to fabricate IN718 alloy electrodes. …”
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Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI by Duc My Vo, Anees Abrol, Zening Fu, Vince D. Calhoun

“…<b>Background:</b> In functional magnetic resonance imaging (fMRI), functional network connectivity (FNC) captures temporal coupling among intrinsic connectivity networks (ICNs). …”
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Effects of physical exercise programs on cognitive function in Parkinson's disease patients: A systematic review of randomized controlled trials of the last 10 years. by Franciele Cascaes da Silva, Rodrigo da Rosa Iop, Laiana Cândido de Oliveira, Alice Mathea Boll, José Gustavo Souza de Alvarenga, Paulo José Barbosa Gutierres Filho, Lídia Mara Aguiar Bezerra de Melo, André Junqueira Xavier, Rudney da Silva

“…<h4>Study selection</h4>Randomized clinical trials examining the effects of physical exercise programs and cognitive function in PD patients. …”
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A Versatile Algorithm for Autofocusing SAR Images by A. A. Monakov

“…Adjusting the algorithm for the selected objective function requires minimal software changes. …”
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A trade-off between line hardening and dynamic line rating by a new convex optimization model for resilient micro-grid-oriented expansion planning of reconfigurable smart distribut... by Saeed Behzadi, Amir Bagheri

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Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

“…In this paper, a hyper cutter location source (HCLS)-data-based robotic interface is proposed to cope with the issues. …”
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Effects of virtual reality-based interventions on cognitive function, emotional state, and quality of life in patients with mild cognitive impairment: a meta-analysis by Xiaohan Li, Yuting Zhang, Lifeng Tang, Lifeng Tang, Lin Ye, Min Tang

“…To investigate potential sources of heterogeneity, subgroup analyses and meta-regression were conducted. …”
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Estimation Of The Vocal Folds Vibration Fundamental Frequency by Higer Order Spectrum by Wiesław WSZOŁEK, Maciej KŁACZYŃSKI

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CdZnTe- and TlBr-detectors response simulation for registration of the mixed beta- and gamma-radiation by A. I. Skrypnyk

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The role of methodological expertsin designing information about occupations by Ireneusz Woźniak

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Determining Eustachian Tube Function in Mucosal Ear Disease Using Cost-Effective, Consistent, Constant, Convenient Tests: A Hospital Based Study by Sphoorthi Basavannaiah

“…Healthy eustachian tube functions and patency are prerequisites for effective graft uptake and successful tympanoplasty. …”
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A Novel Chiral Molecularly Imprinted Electrochemical Sensor Based on β-CD Functionalized Graphene Quantum Dots for Enantioselective Detection of D-Carnitine by Feng Yang, Xin Qi, Yan Chen, Kai Tang, Mengyang Fang, Yanwei Song, Jiufen Liu, Lianming Zhang

“…In this study, β-cyclodextrin (β-CD) functionalized graphene quantum dots (GQDs) was employed to augment the array of chiral recognition sites, thereby enhancing the affinity of GQDs/β-CD composite for imprinting molecules and realizing heightened chiral selectivity. …”
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Proof of principle concept for the analysis and functional prediction of rare genetic variants in the CYP2C19 and CYP2D6 genes by Inger Johansson, Yuchen Lu, Yitian Zhou, Kristi Krebs, Martina Akcan, Lili Milani, Magnus Ingelman-Sundberg

“…Results To comprehensively elucidate the functional consequences and molecular mechanisms of rare variants, we conducted in vitro enzyme expression studies combined with in silico structure–function analyses. …”
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Comprehensive Identification of Long Non-coding RNAs in Purified Cell Types from the Brain Reveals Functional LncRNA in OPC Fate Determination. by Xiaomin Dong, Kenian Chen, Raquel Cuevas-Diaz Duran, Yanan You, Steven A Sloan, Ye Zhang, Shan Zong, Qilin Cao, Ben A Barres, Jia Qian Wu

“…In the present study, we performed ab initio transcriptome reconstruction using eight purified cell populations from mouse cortex and detected more than 5000 lncRNAs. Predicting the functions of lncRNAs using cell-type specific data revealed their potential functional roles in Central Nervous System (CNS) development. …”
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Impact of Ramadan fasting on kidney function and related outcomes in chronic kidney disease and kidney transplant recipients: a systematic review and meta-analysis by Julia Kurzawa, Michelle E Olah, Anita Lloyd, Syed Habib, Uwais Qarni, Soroush Shojai, Mohamed Abdullahi Osman, Aminu Kasarawa Bello, Thane Chambers, Zahraa Habeeb, Robert Peter Pauly

“…Its consequences on kidney-relevant outcomes in patients with chronic kidney disease (CKD) and kidney transplant recipients remain unclear.Design Systematic review and meta-analysis.Data sources MEDLINE, Embase, Global Health, CINAHL (EBSCOhost), Scopus, Web of Science and Google Scholar were searched up to 18 September 2023.Eligibility criteria We included observational studies among non-dialysis CKD and kidney transplant recipients who fasted during Ramadan and examined changes in kidney function.Data extraction and synthesis Standardised methods were used by two independent reviewers to screen, select and extract data. …”
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Injured Cardiac Tissue-Targeted Delivery of TGF&beta;1 siRNA by FAP Aptamer-Functionalized Extracellular Vesicles Promotes Cardiac Repair by Kang JY, Mun D, Park M, Yoo G, Kim H, Yun N, Joung B

“…Injured cardiac tissue-targeting EVs were developed by embedding a cholesterol-conjugated FAP aptamer, which specifically targets FAP, onto human serum-derived EVs (hEV).Results: Our findings revealed that FAP is upregulated after cardiac injury, highlighting its potential as a target for siRNA delivery to injured cardiac tissues. We successfully developed FAP aptamer-functionalized hEV (hEV@FAP) and confirmed their typical EV characteristics, including morphology, size distribution, zeta potential, and marker protein expression. …”
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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…According to the taxonomy, each deep learning model is discussed, encompassing its core functionality and a critical assessment of its suitability for imaging-based SARS-CoV-2 detection. …”
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