Results 61 to 70 of about 21,255 (259)

Differences in the Hungarian households’ sport expenditures

open access: yesApstract: Applied Studies in Agribusiness and Commerce, 2013
The paper searches the differences between the groups of Hungarian households regarding the sport expenditures’ presence in household budget and determining factors.
Dávid Paár
doaj   +1 more source

Leading the Pack: Next‐Generation Batteries for Humanoid Robotics

open access: yesAdvanced Science, EarlyView.
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider   +6 more
wiley   +1 more source

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

open access: yesAdvanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su   +5 more
wiley   +1 more source

Political Budget Cycles in the European Union

open access: yesActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2016
This paper provides research on the theme of the political budget cycles. The goal is to find out whether or not the government tries to manipulate the state budget and its components for the purpose of re-election across the countries of the European ...
Jiří Gregor
doaj   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

open access: yesAdvanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Analysis of the effects of expenditure for employees as an essential component of public expenditure on the reduction of regional inequalities in the Western Balkan countries [PDF]

open access: yesTrendovi u Poslovanju
Public expenditure represents the cost that each state has to finance state functions and social needs. A significant place in public expenditures is occupied by expenditures for employees, which are included in current budget expenditures.
Janković Gordan, Golubović Miloš
doaj   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Assessment of the Impact of Republic of Armenia State Budget Expenditures on Economic Growth

open access: yesФинансы: теория и практика
The current article is devoted to analysing the state budget expenditures of the Republic of Armenia regarding its impact on economic growth rates. The object of the study is the expenditures of the state budget of the Republic of Armenia. The study aims
E. M. Sandoyan   +2 more
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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