Search results for "Tiet"
showing 10 items of 3420 documents
Sensory-specific satiety with simple foods in humans: no influence of BMI?
2007
Olfacto-gustatory sensory-specific satiety plays an important role in the termination of food ingestion. A defect in this mechanism, by increasing food intake, could be a factor in development of overweight. The present study was conducted to explore whether sensory-specific satiety in the overweight may be different from that in normal-weight subjects. 144 subjects (half men, half women; age range: 17–62 years; BMI range: 17–39 kg m−2). Olfactory pleasure (OP) and flavor pleasure (FP) were evaluated before and after ingestion of a single chosen food. Six foods from three classes were offered: cucumber and tomato, pineapple and banana, and peanut and pistachio. According to the subjects' pr…
Changes in Daily Steps and Body Mass Index and Waist to Height Ratio during Four Year Follow-Up in Adults: Cardiovascular Risk in Young Finns Study
2017
Aims: Over the study years, there was a significant increase in body mass index (BMI) and waist-to-height ratio (WtHR) in middle aged Finnish adults. Methods: Data were obtained from 1033 Finnish adults from the Cardiovascular Risk in Young Finns Study in 2007 and 2011. Cohort study participants wore an Omron Walking Style One (HJ-152R-E) pedometer for five days and were grouped into those who increased, maintained and decreased their steps between 2007 and 2011. Paired samples t-test was used to compare body mass index (BMI) and waist-to-height ratio (WtHR) change values between the change groups in study years. Results: Among study population BMI and WtHR increase between study years was …
Reduction of negative alliesthesia for sweet gustatory stimuli by cyproheptadine, a serotonin antagonist
1990
Cyproheptadine (CH) is a serotonin antagonist that increases food intake and body weight. In order to elucidate its mechanism of action on the control of food intake, hunger ratings, pleasure-displeasure to sweet gustatory stimuli and negative alliesthesia induced by a 50 g glucose load were compared in 14 healthy subjects after they had received a placebo or 16 mg of CH. Cyproheptadine did not affect the hunger rating, nor the affective rating in fasted subjects, but it reduced significantly the negative alimentary alliesthesia induced by the glucose load. It was concluded that CH increases food intake more by reducing satiation than by increasing hunger. This is in line with the anti-sero…
Long-Term Physical Activity May Modify Brain Structure and Function: Studies in Young Healthy Twins
2019
Background: Physical activity (PA) is said to be beneficial to many bodily functions. However, the effects of PA in the brain are still inadequately known. The authors aimed to uncover possible brain modulation linked with PA. Here, they combine 4 of their studies with monozygotic twins, who were within-pair discordant in PA for a minimum of 1 year. Methods: The authors performed brain imaging, brain electrophysiology, and cardiovascular and body composition assessments, and collected questionnaire-based data. The present synopsis elucidates the differences associated with differing PA history in conditions without genetic variability. They present new structural and electrophysiological re…
Reliability of upper-limb diaphyseal mineral and soft-tissue measurements using peripheral quantitative computed tomography (pQCT)
2018
Objectives: To quantify between-day reliability of upper-body diaphyseal measurements (radius, ulna, humerus) using peripheral Quantitative Computed Tomography (pQCT). - Methods: Fourteen males (age: 25.8±2.3 years,) underwent repeat pQCT scans (one to two days apart) at mid-shaft ulna (60%), mid-shaft radius (60%) and mid-shaft humerus (50%) cross-sections of the non-dominant limb. Intraclass correlation coefficients (ICC) and coefficients of variation (CV) were determined for musculoskeletal morphology variables. - Results: Reliability was excellent (ICC: 0.76–0.99; CV: 1.3– 7.3) at all sites for bone mass, stress-strain index, endocortical and pericortical radius, endocortical volumetric…
Resistance training status modifies inflammatory response to explosive and hypertrophic resistance exercise bouts.
2017
The purpose of the present study was to examine the immediate and prolonged immune response in circulating cytokine and adipocytokine concentrations after two different resistance exercise bouts: hypertrophic (HYP1, 5 × 10, 80% of 1RM) and maximal explosive (POW1, 10 × 5, 60% of 1RM) resistance exercise bouts and how 12 weeks of resistance training (RT) modifies these responses (HYP2, POW2). Eight men completed the study. RE-induced interleukin-6 (IL-6), interleukin-1β (IL-1β), interleukin-1 receptor antagonist (IL-1ra), monocyte-chemoattractant protein-1 (MCP-1), leptin, resistin, and adiponectin were measured before (PRE) and immediately (POST0), 24 (POST24) and 48 (POST48) hours after RE…
State of the Art Literature Review on Network Anomaly Detection
2018
As network attacks are evolving along with extreme growth in the amount of data that is present in networks, there is a significant need for faster and more effective anomaly detection methods. Even though current systems perform well when identifying known attacks, previously unknown attacks are still difficult to identify under occurrence. To emphasize, attacks that might have more than one ongoing attack vectors in one network at the same time, or also known as APT (Advanced Persistent Threat) attack, may be hardly notable since it masquerades itself as legitimate traffic. Furthermore, with the help of hiding functionality, this type of attack can even hide in a network for years. Additi…
A Novel Deep Learning Stack for APT Detection
2019
We present a novel Deep Learning (DL) stack for detecting Advanced Persistent threat (APT) attacks. This model is based on a theoretical approach where an APT is observed as a multi-vector multi-stage attack with a continuous strategic campaign. To capture these attacks, the entire network flow and particularly raw data must be used as an input for the detection process. By combining different types of tailored DL-methods, it is possible to capture certain types of anomalies and behaviour. Our method essentially breaks down a bigger problem into smaller tasks, tries to solve these sequentially and finally returns a conclusive result. This concept paper outlines, for example, the problems an…
State of the Art Literature Review on Network Anomaly Detection with Deep Learning
2018
As network attacks are evolving along with extreme growth in the amount of data that is present in networks, there is a significant need for faster and more effective anomaly detection methods. Even though current systems perform well when identifying known attacks, previously unknown attacks are still difficult to identify under occurrence. To emphasize, attacks that might have more than one ongoing attack vectors in one network at the same time, or also known as APT (Advanced Persistent Threat) attack, may be hardly notable since it masquerades itself as legitimate traffic. Furthermore, with the help of hiding functionality, this type of attack can even hide in a network for years. Additi…
Information systems development in developing countries : risk management and sustainability analysis in Nigerian software companies
2002
The expectations of IT for socio-economic and human development in developing countries have been high, but the real benefits and the positive impacts have been somewhat disappointing. The harsh socio-economic and infrastructural context makes the sustainability of an IS a major issue. Technology transfer to Africa has been too dependent on external factors, like international aid donors, and emphasized on technology itself. There is a need for locally developed, appropriate information systems, which are based on local needs and structures. In addition, the development should be done by using appropriate methods in an African context. This thesis is part of the INDEHELA-Methods project, wh…