Results 121 to 130 of about 76,466 (301)

Determining the Protective Effects of Long‐Term Physical Activity, Exercise, Mental Health, and Employment on Sarcopenia—A Result of a Feasibility Study of a Registry

open access: yesAGING MEDICINE, EarlyView.
This study highlights that physical activity, employment, and mental health significantly influence sarcopenia risk in healthy adults. Working part‐time or full‐time and exercising, especially sports like swimming, alongside good psychological health, may be associated with reduced odds of sarcopenia.
Mohammad Reza Shadmand Foumani Moghadam   +11 more
wiley   +1 more source

Minimizing Inaccuracy for Self-Locating Beliefs [PDF]

open access: yes, 2003
One's inaccuracy for a proposition is defined as the squared difference between the truth value (1 or 0) of the proposition and the credence (or subjective probability, or degree of belief) assigned to the proposition.
Kierland, Brian, Monton, Bradley
core  

An Objective Justification of Bayesianism I: Measuring Inaccuracy

open access: yes, 2010
One of the fundamental problems of epistemology is to say when the evidence in an agent’s possession justifies the beliefs she holds. In this paper and its sequel, we defend the Bayesian solution to this problem by appealing to the following fundamental ...
Richard Pettigrew   +3 more
core   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali   +5 more
wiley   +1 more source

Inventory Management under Product Mis-identification/Shipment Errors [PDF]

open access: yes
“Wrong-product” delivery - the delivery of a product different from that desired - is a significant, but as yet unexplored problem in supply-chain management research.
Leroy B. Schwarz   +2 more
core  

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen   +5 more
wiley   +1 more source

Inaccuracy

open access: yes
The research is aimed to analyze the inaccuracy of the translation from Indonesian into English of the 1945 Constitution of the Republic of Indonesia. The theories in this thesis are translation, the quality of translation, theory of legal translation ...
Tania fitria jayanti
core  

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

Methods of Estimation of Parameters Determination Inaccuracy Of the Linear Electric Circuits Due To Discrepancy Of the Model and Real Connecting Process

open access: yesVestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2009
Different approaches to estimation of resulting inaccuracy of the parameters determination of linear electric circuits are studied with the help of separate instant meanings, conditioned by deflection of the real connecting process from the model used ...
V. S. Melent'ev, A. V. Tzapaev
doaj  

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah   +3 more
wiley   +1 more source

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