Results 141 to 150 of about 2,657,297 (246)

Non‐Invasive Fibrosis Testing in Adults With Obesity and MASLD: A Systematic Review and Meta‐Analysis

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Adults with obesity are at increased risk of metabolic dysfunction‐associated steatotic liver disease (MASLD)‐related fibrosis, but the diagnostic performance of non‐invasive tests (NITs) in this population remains uncertain. This meta‐analysis evaluated NITs for detecting significant (≥F2) and advanced (≥F3) fibrosis in adults with ...
Patricia M. Ortega, Lucas Sabatella, Pinelopi Manousou, Adriana Arregui, Ahmed R. Ahmed, Chioma Izzi‐Engbeaya   +5 more
wiley   +1 more source

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review

International Endodontic Journal, EarlyView.
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais, Richard Gault, Jamie Toole, Aysar Khudair, Omer Butt, Ikhlas El‐Karim   +5 more
wiley   +1 more source

Gendered Effects of the Minimum Wage

International Economic Review, EarlyView.
ABSTRACT Women work disproportionately in low‐hours jobs, which pay lower wages and are more exposed to minimum‐wage policies. We estimate an equilibrium search model with worker and firm heterogeneity, jobs differing in wages and hours, and imperfect compliance. Applied to Germany, the 8.50 € minimum wage reallocates women toward higher‐hours jobs and
Alessandro Di Nola, Haomin Wang
wiley   +1 more source

Application of Population-Based Meta-Heuristic Algorithms for Robust Initialization in Mechanistic Pharmacometric Modeling. [PDF]

CPT Pharmacometrics Syst Pharmacol
Lee D, Lin CW.
europepmc   +1 more source

Unsupervised Global CBC/RUO/CPD Phenotyping Identifies Haematological Clusters Enriched for Thrombocytopenia Severity and Mechanisms

International Journal of Laboratory Hematology, EarlyView.
ABSTRACT Introduction Thrombocytopenia has heterogeneous mechanisms, including peripheral destruction, consumption, and reduced marrow production. This study developed an unsupervised global complete blood count/research‐use‐only/cell population data (CBC/RUO/CPD) phenotyping model and evaluated post hoc whether thrombocytopenia severity and clinically
Mohammad A. Altememi, Emmanuel J. Favaloro, Md Zahidul Islam, Sara Ng, Danny Hsu, Abishek B. Santhakumar   +5 more
wiley   +1 more source

Heart disease diagnosis and categorization from ECG signals using hybrid Fuzzy-CNN machine optimized by meta-heuristic algorithms. [PDF]

Sci Rep
Davani M, Taghizadeh M, Pirbonyeh MA, Jamali J.   +3 more
europepmc   +1 more source

Genres of Paradoxical IS Theorising: Of Chaos–Puzzles and Spear–Shields

Information Systems Journal, EarlyView.
ABSTRACT Paradox is a powerful lens for theorising information systems (IS) phenomena. However, as scholars apply the term to fundamentally different phenomena, ‘paradox’ risks dilution. Much confusion stems from conflating two concepts under the same English label ‘paradox’: chaos–puzzles (seemingly impossible ideas, aligned with the Chinese term ‘bei
Blair Wang, Raffaele F. Ciriello, Lars Mathiassen   +2 more
wiley   +1 more source

Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland. [PDF]

Sci Rep
Fu T, Wang D, Jin J.
europepmc   +1 more source

An effective and efficient matheuristic for the electric vehicle routing problem with capacitated recharging stations

International Transactions in Operational Research, EarlyView.
Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri, Daniele Ferone, Paola Festa, Ornella Pisacane   +3 more
wiley   +1 more source

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

International Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source