Results 131 to 140 of about 3,724,225 (314)

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Proper orthogonal decomposition (POD) combined with hierarchical tensor approximation (HTA) in the context of uncertain parameters [PDF]

, 2019
Steffen Kastian, Dieter Moser, Stefanie Reese, Lars Grasedyck   +3 more
openalex   +1 more source

Emerging insights into CC and CXC chemokines and their receptors in Mycobacterium tuberculosis infection

FEBS Open Bio, EarlyView.
The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley   +1 more source

Prognostic Impact of European LeukemiaNet Genetic Risk Stratification System in Adult Patients With Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha, Bishwas Mandal, Vishal Mandal, Asis Shrestha, Amir Babu Shrestha   +4 more
wiley   +1 more source

A Research on Market Status and Purchasing Decision Influencing Parameters for Electric Vehicles: Indian Context

, 2019
Amrut P. Bhosale, Akash Gholap, Sachin A. Mastud, Digvijay G. Bhosale, Anandgopal Samvegsaxena, Amolphadke, Xin Zhao, Otto Doering, Wallace Tyner, Sami Kara, Wen Li, Nikkita Sadjiva, Y Wong, Wen-Feng Lu, Zizi Wang, Gautam Kalghatgi, M Hannan, F Azidin, A Mohamed, Chris Chunting, Giuseppe Mi, Su Buja, Chun Choi, Y Su, Beom Choi, Seog Gu, Jeong, T Chun, Ahmad, Alam, Rc Chaban   +30 more
openalex   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

No More In-Context Learning? Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

, 2023
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openalex   +3 more sources

Enhancing context-aware SARS disorder management: a proposed multi-agent simulation framework with machine learning and bio-sensor data integration

Frontiers in Medical Technology
In this work, SARS disorder denotes a generic acute severe respiratory distress condition characterized by abnormal respiratory rate, oxygen saturation, fever, and cardiovascular stress indicators, and does not represent a COVID-19 diagnostic system. Our
Abdullah, Abdullah, Zulaikha Fatima, Nida Hafeez, Nida Hafeez, Muhammad Ateeb Ather, Rolando Quintero Tellez, Grigori Sidorov, Carlos Guzmán Sánchez-Mejorada, Miguel Jesús Torres Ruiz   +9 more
doaj   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

A comparative analysis of encoder only and decoder only models for challenging LLM-generated STEM MCQs using a self-evaluation approach

Natural Language Processing Journal
Large Language Models (LLMs) have demonstrated impressive capabilities in various tasks, including Multiple-Choice Question Answering (MCQA) evaluated on benchmark datasets with few-shot prompting.
Ghada Soliman, Ph.D., Hozaifa Zaki, Mohamed Kilany   +2 more
doaj   +1 more source