Search results for "Diction"
showing 10 items of 1576 documents
Nicotinic receptor agonists as neuroprotective/neurotrophic drugs. Progress in molecular mechanisms
2007
In the present work we reviewed recent advances concerning neuroprotective/neurotrophic effects of acute or chronic nicotine exposure, and the signalling pathways mediating these effects, including mechanisms implicated in nicotine addiction and nAChR desensitization. Experimental and clinical data largely indicate long-lasting effects of nicotine and nicotinic agonists that imply a neuroprotective/neurotrophic role of nAChR activation, involving mainly alpha 7 and alpha 4 beta 2 nAChR subtypes, as evidenced using selective nAChR agonists. Compounds interacting with neuronal nAChRs have the potential to be neuroprotective and treatment with nAChR agonists elicits long-lasting neurotrophic e…
Olfactory neurons activity and olfactory perception are modulated by anorectic peptides, insulin and leptin
2010
International audience; Cf. www.achems.org/files/public/BookmarkedAbstractsFINAL.pdf
GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
2017
On August 17, 2017 at 12-41:04 UTC the Advanced LIGO and Advanced Virgo gravitational-wave detectors made their first observation of a binary neutron star inspiral. The signal, GW170817, was detected with a combined signal-to-noise ratio of 32.4 and a false-alarm-rate estimate of less than one per 8.0×104 years. We infer the component masses of the binary to be between 0.86 and 2.26 M, in agreement with masses of known neutron stars. Restricting the component spins to the range inferred in binary neutron stars, we find the component masses to be in the range 1.17-1.60 M, with the total mass of the system 2.74-0.01+0.04M. The source was localized within a sky region of 28 deg2 (90% probabili…
Person reference as a device for constructing experiences as typical in group therapy.
2008
Sharing one's experiences is a crucial activity in group therapies. In such therapies, groups can be either constituted around one problem or goal common to all the clients, or the group can work as a place in which clients can learn from one another and share experiences whether their individual problems are similar or not. Almost all (psycho) therapy types have a group application, and groups are assumed to be rather efficient in psychological progressing (see, e.g. Corey, 1986; Wootton, 1977). In this article I will concentrate on one type of group therapy, namely the Minnesota model group therapy for addicts, and examine how the clients share experiences and, especially, how they constr…
Four essays on IT users' psychological states and behaviors
2016
This dissertation is intended to study information technology (IT) users’ psychological states and behaviors. It consists of four essays. The first essay examines how people react to social networking services (SNS). In this essay, we attempted to extend the existing model, which includes dedication- and constraint-based mechanisms, by additionally including the obligation-based mechanism underlying SNS-related behavior. The second essay is designed to investigate individuals’ smartphone use. In particular, we focused on the role of smartphone addiction in shaping individuals’ perceptions about their smartphone. The third essay is about online community behavior. Drawing on the model of eng…
Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience
2016
Since the operative definition given by C. W. J. Granger of an idea expressed by N. Wiener, the Wiener–Granger causality (WGC) has been one of the most relevant concepts exploited by modern time series analysis. Indeed, in networks formed by multiple components, working according to the notion of segregation and interacting with each other according to the principle of integration, inferring causality has opened a window on the effective connectivity of the network and has linked experimental evidences to functions and mechanisms. This tutorial reviews predictability improvement, information-based and frequency domain methods for inferring WGC among physiological processes from multivariate…
Customer-Brand Relationships in the Context of Digital Brands
2022
This qualitative study investigates customer-brand relationships between customers and digital brands. This study aims to describe different digital brand relationship types, and their manifestations among young adult customers. The data collection was conducted in 2021 by interviewing fourteen Finnish adults aged 22-31 years. The findings categorize the customer-brand relationships into four relationship types, according to the relationship strength from weak to strong. Brand liking lacks emotions and is characterized by low commitment towards a digital brand. Brand attachment includes having a slight barrier of digital brand replacement, and emotions towards the brand are weak. Brand lovi…
A common biological basis of obesity and nicotine addiction
2013
Contains fulltext : 128630.pdf (Publisher’s version ) (Open Access) Smoking influences body weight such that smokers weigh less than non-smokers and smoking cessation often leads to weight increase. The relationship between body weight and smoking is partly explained by the effect of nicotine on appetite and metabolism. However, the brain reward system is involved in the control of the intake of both food and tobacco. We evaluated the effect of single-nucleotide polymorphisms (SNPs) affecting body mass index (BMI) on smoking behavior, and tested the 32 SNPs identified in a meta-analysis for association with two smoking phenotypes, smoking initiation (SI) and the number of cigarettes smoked …
Seizure Prediction Using EEG Channel Selection Method
2022
Seizure prediction using intracranial electroencephalogram (iEEG) is still challenging because of complicated signals in spatial and time domains. Feature selection in the spatial domain (i.e., channel selection) has been largely ignored in this field. Hence, in this paper, a novel approach of iEEG channel selection strategy combined with one-dimensional convolutional neural networks (1D-CNN) was presented for seizure prediction. First, 15-sec and 30-sec iEEG segments with an increasing number of channels (from one channel to all channels) were sequentially fed into 1D-CNN models for training and testing. Then, the channel case with the best classification rate was selected for each partici…
Introduction of New Headwords Related to Covid-19 Pandemics in Online English Dictionaries
2022
Šī pētījuma mērķis ir izpētīt jaunu, ar Covid-19 pandēmiju saistītu, šķirkļa vārdu iekļaušanu tiešsaistes angļu valodas vārdnīcās, kā arī noteikt un analizēt to veidus, vārdu šķiras, stilistisko raksturojumu, nozīmi un pielietotos vārddarināšanas paņēmienus. Mērķa sasniegšanai ir veikts literatūras pārskats, kā arī, empīriskajā daļā, tiek izmantotas gan kvalitatīvās, gan kvantitatīvās pētījumu metodes. Pētījuma rezultāti liecina, ka visi pētītie šķirkļa vārdi, iepriekš tika bieži lietoti angļu valodas korpusā, pirms tos ieviesa tiešsaistes vārdnīcās; vairums, bija jauni šķirkļa vārdi, kas radīti, izmantojot salikteņu veidošanu, vārdu atvasināšanu un saīsinājumu, kas pārstāv gan literārās, g…