Results 241 to 250 of about 6,191 (299)

A novel interval prediction method in wind speed based on deep learning and combination prediction. [PDF]

Sci Rep
Chen X, Han T, Cheng P, Da X.
europepmc   +1 more source

Not all Temperature Shocks are Alike: Disentangling Heat and High Temperature Shocks and Their Effects on Inflation in Australia

Economic Record, EarlyView.
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley   +1 more source

Climate predictors of child undernutrition: Insights from a machine learning model. [PDF]

PLoS One
Essiam FAAP, Amoako M, Issah S, Biney M, Akuffo KO, Amekudzi LK.   +5 more
europepmc   +1 more source

Determining the utility of radio frequency identification (RFID) technology for disaster victim identification (DVI)

Journal of Forensic Sciences, EarlyView.
Abstract Radio frequency identification (RFID) technology was evaluated as a method for electronically tracking human remains and associated identifying information during mass fatality incidents. Conventional tags are prone to physical damage and failure, which can compromise identification processes and hinder the repatriation of bodies.
Makena P. McLean, Vienna C. Lam, Megan Bassendale, Gail S. Anderson   +3 more
wiley   +1 more source

Dual-graph knowledge distillation for few-shot class-incremental microorganism recognition. [PDF]

Front Microbiol
Xu S, Hu Y, Zhang Y, Chen L, Yin Y.
europepmc   +1 more source

Climatic conditions, landscape, and habitat quality drive patch occupancy and larval density of a threatened mire butterfly

Insect Science, EarlyView.
The Moorland Clouded Yellow (Colias palaeno) benefited from cattle grazing in three different ways by (i) fostering the nectar supply; (ii) enhancing rejuvenation of the host plant (Vaccinium uliginosum); and (iii) improving microclimatic conditions for successful development of the immature stages.
Florian Fumy, Stefan Hafner, Georg Paulus, Thomas Fartmann   +3 more
wiley   +1 more source

Performance and generalizability impacts of incorporating location encoders into deep learning for dynamic PM_2.5 estimation. [PDF]

GIsci Remote Sens
Karimzadeh M, Wang Z, Crooks JL.
europepmc   +1 more source

Developing Workforce Capability in the Context of HR Ecosystem Learning

Human Resource Management Journal, EarlyView.
ABSTRACT For many organizations, developing workforce capabilities is central as it involves refining critical human resource processes such as upskilling or the acquisition of new profiles. These processes are becoming increasingly complex to manage as organizations collaborate within larger work ecosystems. Surprisingly, little research has addressed
Sophie D'Armagnac, Eric Michael Laviolette, Thierry Ruaud, Juani Swart   +3 more
wiley   +1 more source

Altitude-resolved prediction of roadside air pollution using UAV measurements and machine learning. [PDF]

Sci Rep
Kho CJ, Seo S, Hwang H, Kim SY, Jung MH, Kang HJ, Lee JY.   +6 more
europepmc   +1 more source

Efficient Masked Autoencoder for Birdsong Representation with Applications on Wild Bird Species Classification

Integrative Zoology, EarlyView.
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang, Shipeng Hu, Hengrui Wang, Jizheng Yi, Guoxiong Zhou, Xiangyu Shen, Weixiong Peng, Zhishu Xiao, Aibin Chen   +8 more
wiley   +1 more source