Results 81 to 90 of about 207,129 (274)
ABSTRACT Objective The Apolipoprotein (APOE) ε4 allele is the strongest genetic risk factor for late‐onset Alzheimer's disease (AD); however, many ε4 carriers remain cognitively intact into old age. Leveraging plasma neuron‐derived extracellular vesicles (NDEVs), we sought to identify biomarkers of cognitive resilience and their interplay with APOE ...
Apostolos Manolopoulos+17 more
wiley +1 more source
The rs10191329 Risk Allele Is Associated With Pronounced Retinal Layer Atrophy in Multiple Sclerosis
ABSTRACT Objective To investigate whether the rs10191329 risk allele in the DYSF–ZNF638 locus, which is implicated in central nervous system resilience rather than immune‐mediated pathology, is associated with retinal layer thinning, a biomarker of neuroaxonal damage in relapsing multiple sclerosis (RMS). Methods From a prospective observational study,
Gabriel Bsteh+22 more
wiley +1 more source
Laws of Large Numbers for Random Linear [PDF]
The computational solution of large scale linear programming problems contains various difficulties. One of the difficulties is to ensure numerical stability. There is another difficulty of a different nature, namely the original data, contains errors as
doaj
Axiomatic decomposition of a zero-sum game: the penalty shoot-out case
The game of soccer has offered matter of wide scientific analysis about the effective application of the game theory in real-life. The field observations have often detected divergent behaviors from theoretical predictions.
Rolli Fernando+4 more
doaj +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Spatial dependences among precipitation maxima over Belgium [PDF]
For a wide range of applications in hydrology, the probability distribution of precipitation maxima represents a fundamental quantity to build dykes, propose flood planning policies, or more generally, to mitigate the impact of precipitation extremes ...
S. Vannitsem, P. Naveau
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Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source
It is a well-known fact that the Baltic area is traditionally one of the most diverse regions of Europe in terms of ethnic concerns; we can observe in many settlements that four or even five religions have their own churches, cemeteries and at least as ...
Ádám Németh, Guntis Šolks
doaj
Surface Modification of Sol–Gel Synthesized Ba0.85Ca0.15Zr0.1Ti0.9O3 using Stearic Acid Additives
This study explores a novel approach to enhance the piezoelectric performance of lead‐free BCZT ceramics synthesized via the sol–gel method. By coating the BCZT powder with only a 0.69 nm stearic acid layer, the electromechanical response is significantly boosted up to 359 pC N−1, revealing promising implications for high‐performance sensor and ...
Michelle Weichelt+6 more
wiley +1 more source