Results 41 to 50 of about 502,510 (328)

Effectiveness and Safety of Nusinersen and Risdiplam in Spinal Muscular Atrophy: A Systematic Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinal Muscular Atrophy (SMA) is a rare genetic disorder marked by progressive muscle weakness and mobility loss. It has a profound physical, emotional and social impact on patients and caregivers, requiring comprehensive medical and supportive care.
Amin Mehrabian   +9 more
wiley   +1 more source

The Influence of Couples’ Living Arrangements on Smoking Habits and Body Weight

open access: yesComparative Population Studies, 2013
This article examines the influence of intimate relationships on smoking habits and body weight. We differentiated between couples living apart together, cohabitating couples and married couples.
Thomas Klein   +2 more
doaj  

Max Weber como profesor de teoría económica [PDF]

open access: yes, 2011
Estamos acostumbrados a pensar en Max Weber como un jurista convertido en sociólogo histórico que toda su vida estudió cuestiones económicas. Podría sorprender entonces que durante algunos años de su carrera académica, de 1894 a 1898, haya sido nombrado ...
Leal-Carretero, Fernando
core   +3 more sources

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

open access: yesAnnals 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   +13 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

Max Weber und der Geist des Marxismus? Der „Historische Materialismus“ in Webers Werk

open access: yesHistoria.scribere, 2021
Max Weber and the spirit of Marxism? “Historical Materialism” in Weber’s work Max Weber's methodological and historical approaches are often seen as a refutation of Karl Marx's epistemological and socio-economic theories.
Marcus Dietrich
doaj   +1 more source

[Rezension zu:] Lieteke van Vucht Tijssen, Auf dem Weg zur Relativierung der Vernunft. Eine vergleichende Rekonstruktion der kultur- und wissenssoziologischen Auffassungen Max Schelers und Max Webers. Berlin: Duncker & Humblot 1989. 256 Seiten. ISBN 3-428-06604-9. Preis: DM 98,- [PDF]

open access: yes, 2007
Innerhalb der zeitgenössischen Diskussion des Werkes von Max Weber und der Bemühungen um eine Rekonstruktion seines geistesgeschichtlichen Kontextes fanden die soziologischen Arbeiten von Max Scheler bisher so gut wie keine Berücksichtigung..
Lichtblau, Klaus
core  

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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