Results 191 to 200 of about 114,538 (286)

A contemporary simple risk score for prediction of severe acute kidney injury after heart transplantation

ESC Heart Failure, Volume 12, Issue 2, Page 1166-1175, April 2025.
A contemporary simple risk score for prediction of severe AKI after HT. Abstract Background The aim of this study was to develop a simple risk score to estimate severe acute kidney injury (AKI) risk based on a large contemporary heart transplantation (HT) cohort.
Shuangshuang Zhu, Weihua Qiao, Yixuan Wang, Ying Zhou, Yin Xu, Shijie Wang, Tian Xia, Guohua Wang, Si Chen, Jiawei Shi, Nianguo Dong   +10 more
wiley   +1 more source

Quantum Codes from Galois Hulls of Constacyclic Codes over a Finite Non-Chain Ring. [PDF]

Entropy (Basel)
Zhang E, Kong B, Zheng X.
europepmc   +1 more source

An Efficient Quasi‐Static Condensation‐Based Framework for Seismic Analysis of Multi‐Supported Secondary Structures

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multi‐supported non‐structural components (NSCs) are prone to seismic damage, yet their response prediction remains challenging when support motions are spatially incoherent. This study proposes an enhanced quasi‐static condensation (EQSC) method for linear, lightweight, dynamically detuned multi‐supported NSCs under the neglect of primary ...
Duozhi Wang, Fengze Li, Xudong Zhi, Nawawi Chouw, Rong Zhang, Feng Fan   +5 more
wiley   +1 more source

Efficient Non-Interactive Discrete ReLU over CKKS Using Interpolation Look-Up Table. [PDF]

Entropy (Basel)
Chen Z, Song X, Chen L.
europepmc   +1 more source

Bipolar q $q$‐Fractional Fuzzy Aggregation Operators for Multi‐Criteria Decision‐Making in Optimal Renewable Energy Selection

Energy Science &Engineering, EarlyView.
This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa, Zanyar A. Ameen, Wafa Alagal, Baravan A. Asaad   +3 more
wiley   +1 more source

Performance of Large Language Models vs Conventional Machine Learning for Predicting Clinical Outcomes With Limited Data: Comparative Study. [PDF]

JMIR AI
Bigan E, Dufour S.
europepmc   +1 more source

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

Energy Science &Engineering, EarlyView.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah   +3 more
wiley   +1 more source

Abelian varieties of prescribed order over finite fields. [PDF]

Math Ann
van Bommel R, Costa E, Li W, Poonen B, Smith A.   +4 more
europepmc   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

On the real zeroes of half-integral weight Hecke cusp forms. [PDF]

Math Ann
Jääsaari J.
europepmc   +1 more source