Results 121 to 130 of about 9,164 (226)

ACO-Enhanced DCNN-BiLSTM framework for intrusion detection in smart Consumer Electronics network. [PDF]

PLoS One
Chandroth J, Stoian G, Hemanth DJ.
europepmc   +1 more source

Impact of Environmental Microparticles on Insect Olfaction

Environmental Toxicology, EarlyView.
ABSTRACT Terrestrial insects underpin key ecosystem services, including pollination, herbivory regulation, decomposition, nutrient cycling, and disease control. These functions depend on chemical communication that guides insects to food, mates, hosts, shelters, and oviposition sites while helping them avoid threats.
Steve B. S. Baleba, Danube K. N. Wandji, Yves H. Tchiechoua, Komi Mensah Agboka, Iman B. Hassaballa, Victor O. Omondi, Beatrice T. Nganso, Saliou Niassy, Souleymane Diallo, Merid N. Getahun   +9 more
wiley   +1 more source

Training-induced cognitive coupling emerges under sham but not active transcranial electrical stimulation in older adults: a triple-blind, randomized, sham-controlled study. [PDF]

J Neuroeng Rehabil
Jiang Y, Guo X, Wistuba I, Lesani A, Chakalov I, Ramasawmy P, Antal A.   +6 more
europepmc   +1 more source

Nocturnal neighbors: exploring residents' perceptions of urban wildlife related to animal traits identified by camera traps and literature

Wildlife Biology, EarlyView.
Wildlife in urban areas is often a source of conflict, yet relatively few efforts have been directed toward fostering coexistence in these human‐dominated landscapes. While previous research has focused on socio‐demographic factors influencing perceptions of wildlife, the role of specific animal traits in shaping acceptance remains underexplored.
Simon S. Moesch, Marufa Sultana, Geva Peerenboom, Ilse Storch   +3 more
wiley   +1 more source

Neuroanatomical and transcriptomic correlates of attention in schizophrenia. [PDF]

Schizophr Res Cogn
Lu HL, Wang XF, Wu D, Zhang YJ, Wu WJ, Zhang YH, Zhang HJ, Li D, Strelnikov K, Wang HN, Wei Y, Chang X, Cui LB.   +12 more
europepmc   +1 more source

Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang, Hongxu Chen, Xiangyu Zhao, Sixiao Zhang, Xiangguo Sun, Qian Li, Hongzhi Yin, Guandong Xu   +7 more
wiley   +1 more source

Advancing relational methods in agri-food governance research and beyond: Introducing the Socio-Material Actor-Network Analysis (SMANA) methodology. [PDF]

Open Res Eur
Zerbian T, Furlan V, López-García D.
europepmc   +1 more source

The impact of 24-hour sleep deprivation on attention networks in individuals with short-video addiction. [PDF]

BMC Psychol
Li B, Samah NA, Liu T.
europepmc   +1 more source

Universities and institutionalization of regional innovation policy in peripheral regions: Insights from the smart specialization in Portugal

Regional Science Policy &Practice, EarlyView., 2023
Abstract Regional innovation policies are currently influenced by a series of territorial innovation models, with the regional innovation system (RIS) approach being one of the prominent examples. The rationale of smart specialization strategies (S3s) is deeply influenced by the RIS concept and highlights the importance of entrepreneurial discovery and
Hugo Pinto
wiley   +1 more source

Attentional network efficiency in elite biathletes and cross-country skiers. [PDF]

Front Sports Act Living
Polikanova IS, Smirnov KS, Sysoeva OV.
europepmc   +1 more source