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Assembly Graph as the Rosetta Stone of Ecological Assembly.
Environ Microbiol
January 2025
Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA.
Ecological assembly-the process of ecological community formation through species introductions-has recently seen exciting theoretical advancements across dynamical, informational, and probabilistic approaches. However, these theories often remain inaccessible to non-theoreticians, and they lack a unifying lens. Here, I introduce the assembly graph as an integrative tool to connect these emerging theories.
View Article and Find Full Text PDFSupervised machine learning statistical models for visual outcome prediction in macular hole surgery: a single-surgeon, standardized surgery study.
Int J Retina Vitreous
January 2025
Department of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, 560010, India.
Purpose: To evaluate the predictive accuracy of various machine learning (ML) statistical models in forecasting postoperative visual acuity (VA) outcomes following macular hole (MH) surgery using preoperative optical coherence tomography (OCT) parameters.
Methods: This retrospective study included 158 eyes (151 patients) with full-thickness MHs treated between 2017 and 2023 by the same surgeon and using the same intraoperative surgical technique. Data from electronic medical records and OCT scans were extracted, with OCT-derived qualitative and quantitative MH characteristics recorded.
Potential drug targets for asthma identified through mendelian randomization analysis.
Respir Res
January 2025
Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Background: The emergence of new molecular targeted drugs marks a breakthrough in asthma treatment, particularly for severe cases. Yet, options for moderate-to-severe asthma treatment remain limited, highlighting the urgent need for novel therapeutic drug targets. In this study, we aimed to identify new treatment targets for asthma using the Mendelian randomization method and large-scale genome-wide association data (GWAS).
View Article and Find Full Text PDFEffect of integrated case-based and problem-based learning on clinical thinking skills of assistant general practitioner trainees: a randomized controlled trial.
BMC Med Educ
January 2025
Department of Science and Education, Zhuzhou 331 Hospital, Zhuzhou, China.
Background: Case-Based Learning (CBL) and Problem-Based Learning (PBL) are popular methods in medical education. However, we do not fully understand how they affect the clinical thinking skills of Assistant General Practitioner (AGP) trainees. This randomised controlled trial aimed to assess the effectiveness of combining CBL and PBL and compare their impact on the clinical thinking skills of AGP trainees with that of traditional lecture-based learning (LBL).
View Article and Find Full Text PDFUnveiling the ultimate advantage: a meta-analysis of 3D visualization and problem-based learning in orthopedic education.
BMC Med Educ
January 2025
Department of Orthopedics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Background: Three-dimensional (3D) visualization has become increasingly prevalent in orthopedic education to tackle the distinct anatomical challenges of the field. However, there is a conspicuous lack of systematic reviews that thoroughly evaluate both the advantages and drawbacks of integrating 3D with problem-based learning (3D + PBL).
Methods: A rigorous search of English databases (Cochrane Library, Embase, PubMed, Scopus, and Web of Science) and Chinese databases (National Knowledge Infrastructure: CNKI, Chongqing VIP: VIP, and Wan Fang) were performed up to July 2024 to identify relevant studies.
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