Results 61 to 70 of about 646,029 (255)

Overview of molecular signatures of senescence and associated resources: pros and cons

open access: yesFEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas   +6 more
wiley   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

open access: yesFEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

SPOR BİLİMLERİ FAKÜLTESİ ÖĞRENCİLERİNİN GENEL ÖĞRENME STRATEJİLERİNİ KULLANMA DÜZEYLERİNİN BAZI DEĞİŞKENLERE GÖRE İNCELENMESİ

open access: yesSelçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2017
Bu araştırma, Selçuk Üniversitesi Spor Bilimleri Fakültesi öğrencilerinin genel öğrenme stratejilerini kullanma düzeylerinin bazı değişkenlere cinsiyet, bölüm, sınıf, yaş göre farklılaşıp farklılaşmadığını tespit etmek amacıyla yapılmıştır ...
Özgür Gül   +2 more
doaj  

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Learning strategies

open access: yesInformation and Control, 1982
One interesting suggestion in selecting natural against nonnatural languages is that children master a language by selecting a grammar for it from an innately determinated class of candidates. It is the learning strategy to which the child conforms that determines the subset of innate grammars that can be successfully paired with incoming languages ...
Osherson, Daniel N.   +2 more
openaire   +2 more sources

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

open access: yesFEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková   +3 more
wiley   +1 more source

Lifelong learning strategies

open access: yes, 2011
This article describes how the language learning strategies that learners prefer in learning professional language at tertiary level can be used for lifelong education. It is well known that in language learning students use various learning strategies, but not all learners are equally successful in their studies. This research is based on the analysis
Kavaliauskienė, Galina   +2 more
openaire   +2 more sources

Using metacognitive strategies to raise awareness of stress and intonation

open access: yesColombian Applied Linguistics Journal, 2018
Few studies have analyzed the impact of language awareness and metacognitive strategies for intelligibility in the context of English as an international language.
Diana Carolina Peñuela
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

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