Results 101 to 110 of about 12,531 (254)
碩士預算制度能否協助部門達成規劃、或控制機制,除了在設計面建構一套符合組織環境與條件的預算管理系統外,部門成員對預算制度屬性之認知態度亦是重要的影響因子。而部門績效繫乎於部門成員預算參與與預算控制。故本研究從認知的角度探討組織的部門成員對於預算參與、預算控制、與部門績效間的關聯性。 本研究係利用路徑分析來驗證相關之研究假說。樣本取自台灣某保險公司各部門成員,有效回收問卷共計有143份。研究發現結果: 1.預算參與對預算控制、預算控制對部門績效皆有正向影響。此外,透過部門成員的預算控制態度 ...
陳盈君; Chen, Ying-chun
core
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
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
This study aims to empirically examine the effect of budgetary participation on budgetary slack and the ability of religious ethics to moderate the influence of budgetary participation on budgetary slack.
Ratnadi, Ni Made Dwi +2 more
core
Organic photoelectrochemical cells based on π‐conjugated semiconductors offer a versatile platform for solar fuel generation. This review outlines operating principles, device architectures, and key metrics, and highlights advances in p‐ and n‐type photoelectrodes, interfacial engineering, and catalyst integration.
Jaehyeong Kim +8 more
wiley +1 more source
The purpose of the research is to see the influence of budgetary participation and information asymmetry towards budgetary slack in Local Water Supply in Regency of Limapuluh Kota Payakumbuh.
Winda Dwi, Putri
core
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
ABSTRACT Understanding how policy instruments with overlapping goals interact is crucial for leveraging their synergies. This study explores the mechanisms for regional nature parks (a form of protected areas that impose no restrictions on agriculture) to enhance the adoption of biodiversity‐conserving agri‐environment schemes (AES) in Switzerland ...
Yanbing Wang +3 more
wiley +1 more source
Markets Mitigate Land‐Use Competition From Energy Crops and Increase Farm Revenues
ABSTRACT Meeting the US Sustainable Aviation Fuel Grand Challenge target of 35 billion gal annually by 2050 will require an estimated 380 million–700 million dry tons of agricultural biomass feedstock. This study evaluates the implications of large‐scale biomass production for land use, crop production, and market outcomes under mature market ...
Daniel G. De La Torre Ugarte +2 more
wiley +1 more source
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia +4 more
wiley +1 more source

