Results 51 to 60 of about 56,110 (264)
Don't Blame the Software: Using Qualitative Data Analysis Software Successfully in Doctoral Research
In this article, we explore the learning experiences of doctoral candidates as they use qualitative data analysis software (QDAS). Of particular interest is the process of adopting technology during the development of research methodology.
Michelle Salmona, Dan Kaczynski
doaj
Structure and Characteristics of Postgraduate Dissertations of Isfahan University of Medical Sciences (1989-1999) [PDF]
Introduction. Dissertation is one of the important and valuable information resources especially in libraries. In fact, dissertation reflects the accepted university pattern for research presentation.
Fariba Jaefari +2 more
doaj
[english] Objective: The integration of scientific research into medical education is a widely discussed topic. Most research training programs are offered on a voluntary basis.
Kuhnigk, Olaf +7 more
doaj +1 more source
The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li +11 more
wiley +1 more source
Light‐Activated Isolation of High‐Quality Mitochondria for Therapeutic Transplantation
The Light‐Activated Mitochondrial Isolation (LAMI) platform enables the selective and non‐destructive isolation of high‐purity, metabolically active mitochondria. By integrating modular, ligand‐programmable magnetic probes with photo‐cleavable release, LAMI overcomes long‐standing limitations of conventional isolation methods and provides a robust ...
Hui Liu +12 more
wiley +2 more sources
A practical electrodialysis model for accelerating system development
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman +3 more
wiley +1 more source
BackgroundNumerous barriers hinder health research training in Post-Graduate Medical Education Programs, especially in developing countries. Research training is pivotal for medical residency, providing essential knowledge and skills for dissertation ...
Eunice Muthoni Mwangi +5 more
doaj +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source

