Results 151 to 160 of about 23,474 (264)

CFD Analysis of Dual‐Layer PCM Roofs for Thermal Mitigation in Residential Buildings

open access: yesHeat Transfer, EarlyView.
ABSTRACT This study presents a computational fluid dynamics analysis of dual‐layer phase change material (PCM) roofs for passive cooling in residential buildings under the hot and humid climate of Bangladesh. A three‐dimensional transient model was developed in ANSYS Fluent using the enthalpy–porosity approach to simulate coupled heat conduction ...
Mohammad Junaid   +6 more
wiley   +1 more source

An Investigation of the Relationship Between Central Bank Unconventional Monetary Policy and Bitcoin Activity

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This article investigates whether the unconventional monetary policy (UMP) measures pursued by the Federal Reserve, the Bank of England, the Bank of Japan, and the European Central Bank since the Global Financial Crisis (GFC) are associated with an appetite for cryptocurrency.
Niamh Wylie, Martha O'Hagan‐Luff
wiley   +1 more source

Vascular Calcification: Mechanisms, Models, and Therapies

open access: yesiNew Medicine, EarlyView.
ABSTRACT Vascular calcification represents an active multifactorial process that mirrors several key features of skeletal bone mineralization. Clinically, it is characterized by diminished arterial compliance and increased arterial wall stiffness, both of which serve as independent predictors of significant adverse cardiovascular events.
Wenya Zhu   +5 more
wiley   +1 more source

Robust Tests of Forecast Accuracy for Factor‐Augmented Regressions With an Application to the Novel EA‐MD‐QD Dataset

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley   +1 more source

Impact of tear morphology and meniscal laterality on repair failure in stable knees: Medial repairs show over twofold risk

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To evaluate the failure rates of all‐inside meniscal repair based on tear morphology in stable knees (i.e., without concomitant anterior cruciate ligament reconstruction [ACLR]) and to assess the influence of failure. Methods This retrospective cohort study included 1008 patients who underwent arthroscopic all‐inside meniscal repair ...
Christoffer von Essen   +3 more
wiley   +1 more source

4D Printable Formulations of Mixed Low and High Molecular Weight Liquid Crystalline Units: A Versatile Route to Functional Soft Actuators

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a practical approach for formulating 4D printable inks that incorporates substantial fractions of low molecular weight mesogens. By blending low molecular weight diacrylate or monoacrylate constituents with a high molecular weight main‐chain macromer, the resulting mixture proves suitable for direct ink writing, enabling mechanical ...
Lorena Ceamanos   +5 more
wiley   +1 more source

Recent Advances in the Laser‐Based Fabrication and Applications of High‐Entropy Alloy Nanoparticles

open access: yesMetalMat, EarlyView.
This review presents recent advances in the laser‐based fabrication of high‐entropy alloy nanoparticles, focusing on scalable, environmentally friendly, and compositionally tunable synthesis methods. It highlights the critical influence of laser parameters on nanoparticle size, phase, and morphology, enabling tailored properties for applications in ...
Bibek Kumar Singh   +4 more
wiley   +1 more source

Machine Learning Design of Tungsten Alloys With Strength–Ductility Synergy

open access: yesMaterials Genome Engineering Advances, EarlyView.
This study integrates machine learning with solid solution softening knowledge to design multielement tungsten alloys with strength‐ductility synergy. ML models identify promising compositions within W‐ Ta ‐ Re system that exhibit pronounced chemical short‐range order, resulting in exceptional mechanical performance. Experimental validation through the
Juan Ding   +7 more
wiley   +1 more source

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