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  1. 31941

    Unambiguous identification of fungi: where do we stand and how accurate and precise is fungal DNA barcoding? by Robert Lücking, M. Catherine Aime, Barbara Robbertse, Andrew N. Miller, Hiran A. Ariyawansa, Takayuki Aoki, Gianluigi Cardinali, Pedro W. Crous, Irina S. Druzhinina, David M. Geiser, David L. Hawksworth, Kevin D. Hyde, Laszlo Irinyi, Rajesh Jeewon, Peter R. Johnston, Paul M. Kirk, Elaine Malosso, Tom W. May, Wieland Meyer, Maarja Öpik, Vincent Robert, Marc Stadler, Marco Thines, Duong Vu, Andrey M. Yurkov, Ning Zhang, Conrad L. Schoch

    Published 2020-07-01
    “…Here we provide a conceptual framework for the identification of fungi, encouraging the approach of integrative (polyphasic) taxonomy for species delimitation, i.e. the combination of genealogy (phylogeny), phenotype (including autecology), and reproductive biology (when feasible). …”
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  2. 31942

    The impact of maximum cross-sectional area of lesion on predicting the early therapeutic response of multidrug-resistant tuberculosis by Fuzhen Zhang, Yu Zhang, Zilong Yang, Ruichao Liu, Shanshan Li, Yu Pang, Liang Li

    Published 2025-02-01
    “…In the testing cohort, the AUC values were 0.869 and 0.920, sensitivities were 0.933 and 1.000, and F1 scores were 0.848 and 0.841, respectively. Conclusions: The integration of maximum lesion cross-sectional area during treatment can improve the prediction of early treatment response in MDR-TB. …”
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  3. 31943

    Impacts of free-roaming dogs on spatiotemporal niches of native carnivores in Taiwan by Hsin-Cheng Ho, Tzung-Su Ding, Hsiao-Wei Yuan, Jo-Szu Tsai, Guo-Jing Weng, Yu-Hsiu Lin, Hsiang Ling Chen, Yu-Bo Huang, Shih-Ching Yen

    Published 2025-01-01
    “…Future research that integrates other niche dimensions is necessary to better understand the impact of dogs.…”
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  4. 31944

    Medico-ethnobotanical survey of medicinal plants used in the treatment of skin diseases in Tiruppur District, Tamil Nadu, India by Prakasam Radha, Chinniaya Udhayavani, Raju Nagaraj, Kumarasamy Sivaranjani

    Published 2025-02-01
    “…The documented medicinal plants provide a basis for developing cost-effective and culturally appropriate treatments for common skin diseases prevalent in the region. Integrating traditional knowledge with modern medical practices could enhance healthcare accessibility and sustainability.…”
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  5. 31945

    A Survey of Differential Privacy Techniques for Federated Learning by Wang Xin, Li Jiaqian, Ding Xueshuang, Zhang Haoji, Sun Lianshan

    Published 2025-01-01
    “…This paper comprehensively expounds the research status of differential privacy techniques based on the federated learning framework, first providing detailed introductions to federated learning and differential privacy technologies, and then summarizing the development status of two types of federated learning differential privacy(DPFL) techniques respectively; for CDPFL, the paper divides the discussion into first proposal of CDP and typical application examples, the impact of Gaussian mechanisms on model accuracy, optimization based on asynchronous differential privacy, and insights from other scholars; for LDPFL, the paper divides the discussion into first proposal of LDP and typical application examples, processing multidimensional data and improving model accuracy, existing methods and optimization for reducing communication costs, balancing privacy protection and data usability, LDPFL based on the Shuffle model, and insights from other scholars; following this, the paper addresses and summarizes the unique challenges introduced by incorporating differential privacy into federated learning and proposes solutions; finally, based on a summary of existing optimization techniques, the paper outlines future directions and specifically discusses three research ideas for enhancing the optimization effects of federated differential privacy: advanced optimization strategies combining Bayesian methods and the Alternating Direction Method of Multipliers (ADMM), integrating lattice homomorphic encryption techniques from cryptography to achieve more efficient differential privacy protection in federated learning, and exploring the application of zero-knowledge proof techniques in federated learning for privacy protection.…”
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  6. 31946

    Understanding ICU Nursing Knowledge, Perceived Barriers, and Facilitators of Sepsis Recognition and Management: A Cross-Sectional Study by Katherine A. Kissel, MN, RN, Karla D. Krewulak, PhD, Thérèse G. Poulin, BSc, Ken Kuljit S. Parhar, MD, MSc, Daniel J. Niven, MD, PhD, Vanessa M. Doiron, MScHQ, RN, Kirsten M. Fiest, PhD

    Published 2025-01-01
    “…Recommendations include enhanced competency development or support, utilization of structured reinforcement measures (involving the interdisciplinary team and imploring the use of integrative technologies), and addressing equipment/resource-related gaps. …”
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  7. 31947

    Bulk and single-cell transcriptome revealed the metabolic heterogeneity in human glioma by Yong Xiao, Mengjie Zhao, Ran Wang, Liang Liu, Chong Xiang, Taiping Li, Chunfa Qian, Hong Xiao, Hongyi Liu, Yuanjie Zou, Xianglong Tang, Kun Yang

    Published 2025-01-01
    “…Methods: Energy-related features of glioma were characterized through integrative analyses of multiple datasets, including bulk, single-cell, and spatial transcriptome profiling. …”
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  8. 31948

    Identification of standing dead trees in Robinia pseudoacacia plantations across China’s Loess Plateau using multiple deep learning models by Li Zhang, Xiaodong Gao, Shuyi Zhou, Zhibo Zhang, Tianjie Zhao, Yaohui Cai, Xining Zhao

    Published 2025-02-01
    “…These images were then integrated with a comprehensive evaluation of multiple detection algorithms, including Faster R-CNN, EfficientDet, YOLOv4, YOLOv5, YOLOv8, YOLOv9, and a novel model, YOLOv9-ECA. …”
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  9. 31949

    Servicesheds connect people to the landscapes upon which they depend by Yiyi Zhang, Hugo Thierry, Lara Cornejo, Lael Parrott, Monique Poulin, Kate Sherren, Danika Van Proosdij, Brian Robinson

    Published 2025-01-01
    “…We demonstrate how serviceshed mapping, when integrating social and ecological information, can be useful in multiple decision contexts. …”
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  10. 31950

    Defining ecological thresholds to detect potential ecological risks of offshore wind power using macrobenthic biodiversity and indicator species in Cangnan, China by Wanhong Han, Chen Song, Yurong Zhang, Weiwei Zhou, Yushu Yang, Danyi Ke, Aoxiang Huang, Xiaobo Wang, Qingxi Han

    Published 2025-01-01
    “…Therefore, investigating the responses of macrobenthic diversity to the development and operation of wind farms and establishing ecological thresholds is crucial for safeguarding benthic ecological quality and promoting the sustainable development of offshore wind energy. To integrate the concept of ecological thresholds with empirical assessments to identify critical environmental limits for sustainable management, macrobenthic samples and water environmental factors were collected from 2021 to 2023 in the Cangnan offshore wind power area and an adjacent control area. …”
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  11. 31951

    Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model by Huiying Zhang, Xin Liu, Zhen Li, Xiaotao Chang, Heping Sun, Hui Li, Jinyun Guo

    Published 2024-01-01
    “…The SDUST2022 GRA marine gravity anomaly model is the global marine gravity anomaly model constructed by integrating multi-source altimeter satellites, including ICEsat-2 laser altimeter satellite for the first time. …”
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  12. 31952

    Measuring Empathy among Dental Students and Interns: A Cross-Sectional Study from Dammam, Saudi Arabia by Muhammad Nazir, Muhanad Alhareky, Abdulrahman Alqahtani, Leenah Alsulaimi, Reema Alotaibi, Najwa Yousef, Fatimah Abushal, Jehan Alhumaid

    Published 2021-01-01
    “…Female gender, high GPA, and class years were associated with empathy. Empathy should be integrated into dental curricula for effective student learning and positive patient care outcomes.…”
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  13. 31953

    Metabolomic and proteomic profiling of a burn-hemorrhagic shock swine model reveals a metabolomic signature associated with fatal outcomes by Bin Wei, Jinguang Zheng, Jiake Chai, Jianxiang Huang, Hongjie Duan, Shaofang Han, Xiaolin Yang, Wenjia Zhang, Fangchao Hu, Yirui Qu, Xiangyu Liu, Tian Liu, Yushou Wu, Yunfei Chi

    Published 2025-01-01
    “…The metabolomic and proteomic data were processed through partial least squares–discriminant analysis (PLS–DA) and the KEGG enrichment etc. Furthermore, the integrate analysis of the metabolomic and proteomic data was generalized by canonical correlation discriminant analysis, and the correlation between metabolites and mortality of the swine model was predicted using a multiple linear regression model by Pearson analysis. …”
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  14. 31954

    Qualitative evaluation of the Rehabilitation Exercise and psycholoGical support After COVID-19 InfectioN (REGAIN) randomised controlled trial (RCT): ‘you are not alone’ by Gordon McGregor, Susanne Finnegan, Martin Underwood, Joyce Yeung, James Mason, Peter Heine, Nigel Edwards, Julie Bruce, Kate Seers, Harbinder Kaur Sandhu, Helen Atherton, Sharisse Alleyne, Katie Booth, Ranjit Lall, Vivien P Nichols, Stuart Ennis, Scott McGuire, Rachel Potter, Jessica Smith, Chen Ji, Shilpa Patel, Henry Nwankwo, Kate Evans, Susie Hennings, Alastair Canaway, Grace Lobley, David Mcwilliams, Christina Jones, Emma Padfield, David Montgomery, Beatriz Lara, Becky Haley, Francesca Denton, Bartholomew Sheehan, Mariam Ratna, Elaine Fairbrother, Zoe Noakes, Bogdan Zutic, Lee Austin, Tom Forsyth, Anne Bush, Alan Bush, Patrick Sawdon, Jonathon Prosser, Lee Tompkins, Jonathon Guck, Danielle Hale, Juwairia Said, Georgie Ray, Rowena Williams, Gail Evans, Thillini Hettiarachchi, Abeesh Panicker

    Published 2025-01-01
    “…Framework and thematic analysis were used to analyse the findings.Setting England and Wales, UK.Participants Adults discharged from National Health Service (NHS) hospitals at least 3 months previously after COVID-19, with ongoing physical and/or mental health sequelae.Results Twenty intervention participants, 20 control participants and five practitioners were interviewed.The themes from the group support sessions were: (1) you are not alone; (2) sharing experiences and addressing worries; (3) gaining new perspectives; (4) hope for progression; (5) peer support and bonding; (6) integration of facilitation skills; (7) modified activity pacing and goal setting, and (8) giving participants structure. …”
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  15. 31955
  16. 31956

    Impact of pharmacist-led educational intervention on knowledge of self-management among asthmatic patients: a prospective cohort study by Ahmad Khan, Saima Mushtaq, Amjad Khan, Nafees Ahmad, Shahzadi Sidra Saleem, Rubina Aman, Shahzadi Sadia Saleem, Ayesha Bibi, Saifullah Mehsud, Ivan R Green, Sheikh Abdur Rashid, Kifayat Ullah Shah

    Published 2022-06-01
    “…This would suggest that education and self-management skills should be seen as an integral component of asthma management and should be incorporated in structured patient care to achieve optimal asthma control.…”
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  17. 31957

    Solar Energy Forecasting Framework Using Prophet Based Machine Learning Model: An Opportunity to Explore Solar Energy Potential in Muscat Oman by Mazhar Baloch, Mohamed Shaik Honnurvali, Adnan Kabbani, Touqeer Ahmed, Sohaib Tahir Chauhdary, Muhammad Salman Saeed

    Published 2025-01-01
    “…In this research, different models, named Linear Regression (LR), Support Vector Machine (SVR), KNN Regressor, Decision Forest Regressor, XGBoost Regressor, Neural Network (NN), Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Random Forest Regressor, Categorical Boosting (CatBoost), Deep Autoregressive (DeepAR), and Facebook Prophet, are trained and tested under both identical features and a training–testing ratio. …”
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  18. 31958
  19. 31959
  20. 31960

    Clinical and genetic drivers of oligo-metastatic disease in colon cancer by Alessandro Ottaiano, Mariachiara Santorsola, Roberto Sirica, Annabella Di Mauro, Antonella Di Carlo, Monica Ianniello, Francesco Sabbatino, Rosa Castiello, Francesca Del Peschio, Marco Cascella, Francesco Perri, Maurizio Capuozzo, Nicola Martucci, Edoardo Mercadante, Valentina Borzillo, Rossella Di Franco, Francesco Izzo, Vincenza Granata, Carmine Picone, Antonella Petrillo, Massimiliano Berretta, Salvatore Stilo, Luca Tarotto, Anna Chiara Carratù, Gerardo Ferrara, Madhura Tathode, Alessia Maria Cossu, Marco Bocchetti, Michele Caraglia, Guglielmo Nasti, Giovanni Savarese

    Published 2025-02-01
    “…OMD patients exhibited distinct molecular characteristics, including lower frequencies of BRAF p.V600E (P=0.0315) and KRAS mutations (P=0.0456), as well as a higher frequency of high tumor mutational burden (P=0.0127). Additionally, by integrating data from public datasets and our case study, we hypothesize that some gene alterations (i.e.: BRAF, SMAD4, RAF1, and mTOR) may prevent OMD occurrence. …”
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