Results 91 to 100 of about 51,247 (314)

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban   +13 more
wiley   +1 more source

Identification of Novel Mutations in FAH Gene and Prenatal Diagnosis of Tyrosinemia in Indian Family

open access: yesCase Reports in Genetics, 2012
Carrier of tyrosinemia type I was diagnosed by sequencing FAH (fumarylacetoacetate hydrolase) gene. It leads to the identification of heterozygous status for both c.648C>G (p.Ile216Met) and c.1159G>A (p.Gly387Arg) mutations in exons 8 and 13 ...
Jayesh J. Sheth   +3 more
doaj   +1 more source

Characterization of Anticholinergic Medication Use and Its Associations With Everyday Memory Problems and Cognitive Decline in Autistic Adults With Higher Support Needs

open access: yesAutism Research, EarlyView.
ABSTRACT Among older adults in the general population, medications with anticholinergic (AC) effects are associated with declines in cognitive functioning and with dementia and Alzheimer's disease. Autistic people have high rates of co‐occurring medical conditions and polypharmacy across the lifespan; thus, they may be at particularly high risk of ...
Goldie A. McQuaid   +2 more
wiley   +1 more source

Habitat preferences among three top predators inhabiting a degraded ecosystem, the Black Sea

open access: yesScientia Marina, 2017
This study investigated whether there is evidence of widespread niche partitioning based on environmental factors in the Black Sea and tested the hypothesis that physiographic factors may be employed as predictors.
Alicia Sánchez-Cabanes   +3 more
doaj   +1 more source

Spatio‐Temporal Assessment of Fish Biodiversity in High‐Density Cascade Dam Rivers Using Environmental DNA Metabarcoding

open access: yesBiological Diversity, EarlyView.
This study employed eDNA technology for biodiversity surveys and conducted high‐density spatiotemporal eDNA sampling to evaluate ecosystem‐scale patterns across temporal, spatial, and habitat dimensions. We identified 97 fish species from 12 orders, 29 families, and 71 genera using eDNA technology. Spatially, fish diversity indices were correlated with
Changping Jiang   +5 more
wiley   +1 more source

Codes for GAM analysis [PDF]

open access: yes, 2019
Codes for GAM ...
Lei Xu (78676)   +27 more
core   +1 more source

AI‐Enabled Circular Business Model Transition for Mitigating Climate Change: A Natural Resource‐Based View Perspective on Business Strategies

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The role of artificial intelligence (AI) in achieving sustainability goals has garnered attention in academic literature. While AI has been argued to be crucial in addressing circularity challenges, organizations face challenges in configuring a business model.
Jian Wang   +4 more
wiley   +1 more source

Asymmetric Decentralization in Aceh: Institutionalization of Conflict of Interest by Elites of GAM

open access: yesJurnal Politik, 2019
This article explains an institutionalization of conflicts in the implementation of special autonomy in Aceh Province. In general, one of the objectives of implementing the asymmetric decentralization policy is to resolve the problem of national ...
Bayu Satria Utama
doaj   +1 more source

Global Energy Corporations and Climate Change: The Role of Formal and Informal Institutions in Shaping Climate Change Risk Disclosure

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines climate change risk disclosure in the global energy sector, where firms face intense stakeholder scrutiny and legitimacy pressures. We develop a novel domain‐specific textual analysis measure to capture climate change risk disclosures, improving on prior approaches based on generic environmental terminology.
Khaldoon Albitar, Ali Meftah Gerged
wiley   +1 more source

Evaluating GAM-Like Neural Network Architectures for Interpretable Machine Learning [PDF]

open access: yes, 2019
In many machine learning applications, interpretability is of the utmost importance. Artificial intelligence is proliferating, but before you entrust your finances, your well-being, or even your life to a machine, you’d really like to be sure that it ...
Booker, William
core  

Home - About - Disclaimer - Privacy