8,118 results for important

arxiv.org/abs/2102.07246v3

Responsibility Management through Responsibility Networks

The safety management is critically important in the workplace. Unfortunately, responsibility issues therein such as inefficient supervision, poor evaluation and inadequate perception have not been properly addressed. To this end, in this paper, we d...

arxiv.org/abs/1006.2077v1

Multidimensi Pada Data Warehouse Dengan Menggunakan Rumus Kombinasi

Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional data warehouse is incomplete. Multidimensional give the able to analyze business measurement in many different ways. M...

www.bing.com/ck/a?!&&p=1c3e84d167e7eb10c4bc893265f07e6d8f7a4c4e3a1c776bde4eae4afb1537e5JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=3196174a-bfe5-6b78-073f-005abeac6a78&u=a1aHR0cHM6Ly9laW52ZXN0aWRvci5lc3RhZGFvLmNvbS5ici9yYWRhci1laW52ZXN0aWRvci9kb3ctam9uZXMtaW5kaWNlLW8tcXVlLWUtaW1wb3J0YW5jaWEtaW52ZXN0aWRvcmVzLW1lcmNhZG8tZmluYW5jZWlyby8&ntb=1

Dow Jones: o que é e qual a importância desse índice para investidores

Sep 11, 2025 · O que é o índice Dow Jones? O Dow Jones Industrial Average, conhecido também como DJIA ou simplesmente “Dow”, é um dos índices de ações mais antigos e importantes do mundo, …

arxiv.org/abs/2309.02564v1

Diffusion-based Time Series Data Imputation for Microsoft 365

Reliability is extremely important for large-scale cloud systems like Microsoft 365. Cloud failures such as disk failure, node failure, etc. threaten service reliability, resulting in online service interruptions and economic loss. Existing works foc...

en.wikipedia.org/wiki/California_Current

California Current - Wikipedia

highly productive due to the upwelling, which brings to the surface nutrient-rich sediments, supporting large populations of whales, seabirds and important

arxiv.org/abs/2012.10394v1

Deep Learning for Climate Model Output Statistics

Climate models are an important tool for the assessment of prospective climate change effects but they suffer from systematic and representation errors, especially for precipitation. Model output statistics (MOS) reduce these errors by fitting the mo...

arxiv.org/abs/2010.09575v2

Burton-Cabrera-Frank theory for surfaces with alternating step types

Burton-Cabrera-Frank (BCF) theory has proven to be a versatile framework to relate surface morphology and dynamics during crystal growth to the underlying mechanisms of adatom diffusion and attachment at steps. For an important class of crystal surfa...

arxiv.org/abs/2202.00125v1

Top Ten Behavioral Biases in Project Management: An Overview

Behavioral science has witnessed an explosion in the number of biases identified by behavioral scientists, to more than 200 at present. This article identifies the 10 most important behavioral biases for project management. First, we argue it is a mi...

arxiv.org/abs/hep-ph/9705207v2

Comparion of Lattice and Dual QCD Results for Heavy Quark Potentials

Lattice results and Dual QCD results for all heavy quark potentials through order (quark mass)^${-2}$ are exhibited and compared. The agreement on the whole is quite good, confirming the validity of Dual QCD. NOTE: (The only important change in thi...

arxiv.org/abs/2401.16553v7

SelectLLM: Can LLMs Select Important Instructions to Annotate?

Instruction tuning benefits from large and diverse datasets; however, creating such datasets involves a high cost of human labeling. While synthetic datasets generated by large language models (LLMs) have partly solved this issue, they often contain...