Results 131 to 140 of about 543,265 (307)

Procedural Guide for System-Level Impact Evaluation of Industrial Artificial Intelligence-Driven Technologies: Application to Risk-Based Investment Analysis for Condition Monitoring Systems in Manufacturing. [PDF]

J Manuf Sci Eng, 2022
Sharp M, Dadfarnia M, Sprock T, Thomas D.   +3 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Balance of payments and international investment position: year ended 31 March 2014 [PDF]

, 2014
Of New Zealand’s $171.2 billion total investment abroad, 58.1 percent was in Australia, the United States, and the United Kingdom. Key facts At 31 March 2014: Of New Zealand’s $171.2 billion total investment abroad, 58.1 percent was in Australia ...

core  

Audit feedback interventions to address high-risk prescriptions in long-term care homes: a costing study and return on investment analysis. [PDF]

Implement Sci Commun, 2021
Thavorn K, Kumar S, Reis C, Lam J, Dobell G, Mulhall C, Grimshaw JM, Ivers N.   +7 more
europepmc   +1 more source

Synergistic Spin‐Polarization and Single‐Atom Engineering in Magnetic Heterojunctions for Efficient Solar Water Splitting

Advanced Science, EarlyView.
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren, Zhenzhou Guo, Huirong Wu, Peilin Huang, Jie Yang, Jie Zhang, Guangqian Ding, Hongkuan Yuan, Biao Wang   +8 more
wiley   +1 more source

Corporate Investment and Uncertainty: An empirical analysis [PDF]

A great deal of the relevant literature mentions that one of the reasons for the 1990s recession in Japan is increasing "uncertainty." To clarify the effect of uncertainty, this study demonstrates the relationship between uncertainty of productivity ...
SHINADA Naoki
core  

Crystal Facet‐Polysaccharide Matching in CFS‐P Nanocrystals Drives Fungal Uptake, Vacuole Destruction, and Selective Antifungal Activity

Advanced Science, EarlyView.
Facet‐engineered PVP‐capped CuFeSe2 nanocrystals exhibit potent, selective antifungal activity by strongly binding cell‐wall mannan, enabling vacuolar entry and organelle disruption. High‐index facets show superior mannan affinity, validated by theoretical calculations and experiments. CFS‐P induces vacuolar cavitation, mitochondrial abnormalities, and
Zhaohui Wang, Xiaojin Deng, Xujuan Huang, Yuhang Pan, Yao Qin, Lu Zhang, Le Xu, Tianyi Qin, Deteng Zhang, Yi Ma, Yalong Wang   +10 more
wiley   +1 more source

The Archway Investment Fund, Annual Report 2016

, 2016
The Archway Investment Fund, led by Professor Asli Ascioglu, is a series of two classes, consisting of a semester focused on Securities Analysis, and a semester of Portfolio Management.
Bryant University, Archway Investment Fund
core  

A survey of corporate finance practices in micro-enterprises: an exploratory analysis conditional on firm and manager characteristics

Cogent Business & Management
This study outlines the findings from a survey of 208 micro-enterprises (MEs) in Portugal, focusing on their corporate finance practices, including working capital management (WCM), financing and investment decisions, the adoption of accounting ...
Paulo Morais Francisco
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source