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  1. 7261

    Altered brain dynamics in post-stroke cognitive and motor dysfunction by Xiaoying Liu, Guihua Song, Xiaoyun Zhuang, Ying Zhang, Xiaoyang Wang, Yin Qin, Yin Qin

    Published 2025-08-01
    “…Neuromodulation strategies can be optimized by HMM-derived brain states in the future.…”
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    Article
  2. 7262

    Theory-Driven EEG Indexes for Tracking Motor Recovery and Predicting the Effects of Hybridizing tDCS With Mirror Therapy in Stroke Patients by Chia-Lun Liu, Ken-Hsien Su, Yi-Shiung Horng, Chia-Ling Chen, Shou-Hsien Huang, Ching-Yi Wu

    Published 2024-01-01
    “…Stroke remains a leading cause of adult disability, underscoring why research continues to focus on advancing new treatment methods and neurophysiological indexes. While these studies may be effective, many lack a clear theoretical framework. …”
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    Article
  3. 7263

    Computed tomography–guided percutaneous biopsy in diagnosis of suspected metastatic renal cell carcinoma: which location is the most suitable? by Petr Hoffmann, Michal Balik, Martina Hoffmannova, Jindrich Kopecky, Pavel Ryska, Jana Draganovicova, Petr Dvorak

    Published 2024-07-01
    “…Aim: Our aim was to evaluate an optimal location for percutaneous computed tomography-guided biopsy in a diagnosis of suspected mRCC. …”
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    Article
  4. 7264

    Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach by Alaa Ali, Ahmad R. Alsayed, Nesrin Seder, Yazun Jarrar, Raed H. Altabanjeh, Mamoon Zihlif, Osama Abu Ata, Anas Samara, Malek Zihlif

    Published 2025-07-01
    “…Traditional diagnostic methods have limitations, prompting the use of machine learning (ML) to enhance diagnostic precision and treatment strategies. …”
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    Article
  5. 7265
  6. 7266

    Cortical thickness and structural covariance network alterations in cerebral amyloid angiopathy: A graph theoretical analysis by Yijun Lin, Bin Gao, Yang Du, Mengyao Li, Yanfang Liu, Xingquan Zhao

    Published 2025-06-01
    “…Results: CAA patients exhibited significant alterations in small-world properties, with decreased Gamma (p = 0.002) and Sigma (p < 0.001), suggesting a shift toward a less optimal network configuration. Local efficiency was significantly different between groups (p = 0.045), while global efficiency remained unchanged (p = 0.127), indicating regionally disrupted rather than globally impaired network efficiency. …”
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    Article
  7. 7267

    Resistance of Syagrus coronata fibers in waterproof-coated natural geotextiles under environmental degradation by Francisco S. R. Holanda, Luiz D. V. Santos, Eliana M. Sussuchi, Eliana M. Sussuchi, Alceu Pedrotti, José F. Santos, Emersson G. Silva, Cátia S. Fontes, Renisson N. Araujo Filho

    Published 2025-04-01
    “…Although double-layer resin provided an initially higher tensile resistance, it accelerated structural failures beyond 90 days, while untreated fibers were nonviable after 60 days. …”
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    Article
  8. 7268

    Spiritual Leadership Enhances Caring Behaviour: The Mediating Role of Calling by Sang Ayu Ketut Candrawati, Ni Kadek Ayu Sriani, Putu Gede Subhaktiyasa, Ni Komang Sukra Andini, Ni Luh Nova Dilisca Dwi Putri, Ni Ketut Citrawati, Megah Andriany

    Published 2024-08-01
    “…Background: Caring behaviour is essential for patient health; however, it is often not practised optimally. Therefore, spiritually-based leadership is required to encourage this behaviour. …”
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    Article
  9. 7269

    Examining maternal and fetal outcomes across various subtypes of hypertension during pregnancy by Laith Alhuneafat, Fares Ghanem, Sneha Nandy, Sana Khan, Anushree Puttur, Ahmad Jabri, Alaq Haddad, Bhavadharini Ramu, Bethany Sabol, Jessica Schultz, Selma Carlson

    Published 2025-06-01
    “…Understanding the graded risk differences across HDP subtypes may enable more tailored interventions, optimizing maternal and fetal outcomes for those at highest risk.…”
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    Article
  10. 7270

    Chronic urticaria and vitamin D supplementations: a systematic review by Ayesha Siddiqui, Aruna Bai, Haresh Kumar, Yash Roop Mandhwani, Anjali Bai, Priya Bai, Neha kumar, F. N. U. Muskan, Sumaiya Jatoi, Zulfiqar Ali, Abida Parveen

    Published 2025-07-01
    “…Conclusion Vitamin D supplementation may serve as a safe, accessible adjunct to standard CU treatment, particularly for those with confirmed deficiency. While evidence suggests potential benefits, further high-quality RCTs are needed to establish causality, optimal dosing, and long-term efficacy.…”
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    Article
  11. 7271

    Advantages, applications, and future directions of in vivo aptamer SELEX: A review by Minchuan Lyu, Chi Ho Chan, Ziqi Chen, Yumeng Liu, Yuanyuan Yu

    Published 2025-09-01
    “…Unlike traditional in vitro methods that often fail to capture the complexity of biological interactions in physiological environments, in vivo SELEX leverages whole living organisms as selection targets. …”
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    Article
  12. 7272

    Association between advanced lung cancer inflammation index and distant metastasis in breast cancer: a retrospective cohort study by Xiao-dong Luan, Qian Ren, Ya-lin Zhang, Wen-hai Zhang, Chun-feng Liang, Si-zhi Liang, Zi-hao Liu, Yu-kun Liu

    Published 2025-08-01
    “…ObjectiveThis study aims to assess the relationship between the Advanced Lung Cancer Inflammation Index (ALI) and the risk of distant metastasis in breast cancer. While ALI is commonly used to evaluate the prognosis of lung cancer patients, its application in breast cancer and its correlation with distant metastasis are not well understood. …”
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    Article
  13. 7273

    The effect of training data size on real-time respiration prediction using long short-term memory model by Wenzheng Sun, Jun Dang, Lei Zhang, Qichun Wei, Chao Li, Ye Liu, Huang Jing, Kanghua Huang, Yuanpeng Zhang, Bing Li

    Published 2025-06-01
    “…Abstract Aim To investigate the optimal training dataset size (TDS) for respiration prediction accuracy using a long short-term memory (LSTM) model. …”
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  14. 7274

    Cesarean section diverticulum area predicting the intraoperative hemorrhage at suction curettage for cesarean scar pregnancy after focused ultrasound ablation surgery by Jun-rong Huang, Li-ya Sun, Ying Tang, Ming-bo Wen, Ming-tao Yang, Fan Xu, Qiuling Shi, Hui-quan Hu

    Published 2025-12-01
    “…Objectives To investigate the significance of the cesarean section diverticulum (CSD) area for predicting the intraoperative massive hemorrhage during suction curettage for cesarean scar pregnancy (CSP) after focused ultrasound ablation surgery (FUAS).Methods Data from 90 patients undergoing suction curettage after FUAS were collected. …”
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  15. 7275

    Spatiotemporal water quality data reconstruction: A tensor factorization framework by Xuke Wu, Kun Shan, Lan Wang, Jingkai Wang, Mingsheng Shang

    Published 2025-12-01
    “…However, missing data in water quality datasets remains a persistent challenge, often compromising the reliability of mathematical models and statistical analyses. While traditional imputation methods fail to adequately capture complex spatiotemporal dependencies among water quality variables, this study proposes a novel nonnegative tensor factorization (NTF) model designed to reconstruct missing values by effectively modeling variable-site-time triad interactions. …”
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  16. 7276

    Atmosphere-driven metal-support synergy in ZnO/Au catalysts for efficient piezo-catalytic hydrogen evolution by Di Wu, Yingxin He, Chi Lin, Bing Li, Jiangping Ma, Lujie Ruan, Yajie Feng, Chaogang Ban, Junjie Ding, Xiaoxing Wang, Danmei Yu, Li-Yong Gan, Xiaoyuan Zhou

    Published 2025-07-01
    “…Piezo-catalysis, which leverages mechanical energy to drive chemical reactions, is emerging as a promising method for sustainable energy production. While the enhancement of piezo-catalytic performance through metal-support interactions is well-documented, the critical influence of the synthesis atmosphere during metal-loaded piezo-catalyst preparation has been a notable gap in the field. …”
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    Article
  17. 7277

    Psychosocial experiences of prostate cancer survivors after treatment: a systematic review of qualitative studies by Junlian Xiang, Lifei Dai, Lifei Dai, Lin Tan, Dong Lv, Yongbo Chen, Liangyou Tang, Jiali Zhang, Xin Yi, Xiaoli Liu

    Published 2025-07-01
    “…Now requires integrated biopsychosocial rehabilitation beyond disease-focused treatment, comprehensive assessment of psychosocial adaptation and illness perception is essential for developing evidence-based, patient-centered rehabilitation strategies to optimize post-therapy recovery.ObjectiveThis study aims to systematically review and synthesize qualitative evidence on post-treatment psychosocial experiences in prostate cancer patients, thoroughly analyze patients’ lived experiences and coping strategies, and provide an evidence-based foundation for establishing a tiered psychosocial support system and developing clinical intervention protocols.MethodsThis systematic review followed the Joanna Briggs Institute (JBI) methodology for qualitative meta-aggregation, with reporting structured according to the ENTREQ statement. …”
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    Article
  18. 7278

    Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

    Published 2025-03-01
    “…Moreover, to further enhance the performance and resilience of the model, sophisticated feature engineering methodologies are implemented to optimize its overall functionality. ResultsThe results of the study reveal that while the hybrid neural network model, integrating CNN and LSTM components, demonstrates promising capabilities in predicting the TSE Composite Index, its accuracy falls short compared to competing models, particularly at weekly and monthly time scales. …”
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    Article
  19. 7279

    Current research and future prospects of air pollutant and CO2 emission inventories in the iron and steel industry by Xin XU, Wanyue SHAN, Zheng ZHANG, Qing WANG, Xin BO

    Published 2025-06-01
    “…In addition, establishing a comprehensive, unorganized emission accounting system and optimizing the CO2 accounting framework and methods are essential. …”
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    Article
  20. 7280

    Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

    Published 2025-03-01
    “…ObjectiveTo explore the risk factors that affect adolescents’ suicidal and self-injurious behaviors and to construct a prediction model for adolescents’ suicidal and self-injurious behaviors based on machine learning algorithms.MethodsStratified cluster sampling was used to select high school students in Chongqing, yielding 3,000 valid questionnaires. …”
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    Article