INFLUENCE OF MUSIC TYPE LISTENING ON ANAEROBIC PERFORMANCE AND SALIVARY CORTISOL IN MALES ATHLETES

Music has been widely recommended as a technique to enhance the psychophysical state of participants in sport and exercise. However, there is scant scientific evidence to clarify its proposed benefits. Therefore, the aim of this study was to determine the effect of fast and slow rhythm of music on anaerobic performance and salivary cortisol concentration in trained men. Thirty male physical education college students (ages: 25.66±3.89 yr, height: 176.65 ± 7.66 cm, body mass: 78.45±16.20 kg) voluntary participated in this study and divided to three groups: fast music, slow music, and no music(control). All subjects performed the coninghum test following a 20% grate and 14.3km/h speed on the treadmill. For measuring of cortisol, not stimulated samples of saliva collected, 15 minutes befor and immediately 5 and 30 minute after the exercise. No significant differences were found in anaerobic performance among the three groups in pretest indicating homogeneity of the groups. However, salivary cortisol no significant in anaerobic performance 5 and 30 minute after exercise as well. Summarily, Music doed not have a positive effect on performance, this study provided some support for the hypothesis that listening fast and slow music not significantly impacted during supramaximal exercise

The Relationship between EQ & Constructive and Non-Constructive Problem Solving Styles among Payame Noor University's students of Abadan in the year 2014

The objective of the present study is considering the relationship between EQ & constructive and non-constructive problem solving styles among students. The applied methodology is cross-correlation method. The statistical population in this study is all the educational sciences' students of Payame Noor university of Abadan in the year 2014 and the sampling is taken totally randomly and voluntary. Two surveys of EQ which proposed by Siryashring (1988) have used in this study that contain 33 questions. This study will measure 5 components of emotional intelligence: Self-awareness, self-control, self-motivation, social awareness and social skills. In addition the problem solving styles' survey that proposed by Velang (1996) has been applied that has made in two stages and has 24 questions, 12 items measure the problem-oriented style and rest of them measure the excitement-orientation. According to Cronbach's alpha the reliability coefficient of EQ is reported about 0.84. The validity of 0.63 is confirmed in Shirng's test of EQ. reliability coefficient of solving problem style is reported about 87%.Either reliability coefficient or factor content are confirmed by the faculty. Data analysis is done in two level of descriptive statistical (frequencies, percentages mean) and inferential statistics (Pearson correlation, chi-square test). The obtained results of assumptions show that there is no significant relationship between EQ and constructive problem solving; also there is no significant relationship between EQ and non-constructive problem solving. Moreover there is significant relationship between EQ in creative styles, avoidance and style tendencies. Nevertheless there is no relationship between EQ and distress styles. And the confidence style shows an inverse relationship. Keywords: EQ, Constructive problem solving styles, non- constructive problem solving style

The Relationship between Time Management and Student Achievement

The purpose of this study is to investigate the relationship between time management and achievement of students. The statistical population of this study includes the students of educational sciences in the Payame Noor University of Abadan City in 2013. The population consists of 256 members. A sample of 70 students was selected randomly. In order to collect the research data, a self-administrated questionnaire was used. The research data were analyzed through both descriptive and inferential statistics in the SPSS. The results of this study revealed that there is a significant relationship between time management and achievement of students. Another part of our results showed that there is a significant positive relationship between age and time management. Keywords: Time Management, Planning, Achievemen

Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach

Stakeholders such as urban planners and energy policymakers use building energy performance modeling and analysis to develop strategic sustainable energy plans with the aim of reducing energy consumption and emissions from the built environment. However, inconsistent energy data and the lack of scalable building models create a gap between building energy modeling and traditional planning practices. An alternative approach is to conduct a large-scale energy usage survey, which is time-consuming. Similarly, existing studies rely on traditional machine learning or statistical approaches for calculating large-scale energy performance. This paper proposes a solution that employs a data-driven machine learning approach to predict the energy performance of urban residential buildings, using both ensemble-based machine learning and end-use demand segregation methods. The proposed methodology consists of five steps: data collection, archetype development, physics-based parametric modeling, machine learning modeling, and urban building energy performance analysis. The devised methodology is tested on the Irish residential building stock and generates a synthetic building dataset of one million buildings through the parametric modeling of 19 identified vital variables for four residential building archetypes. As a part of the machine learning modeling process, the study implemented an end-use demand segregation method, including heating, lighting, equipment, photovoltaic, and hot water, to predict the energy performance of buildings at an urban scale. Furthermore, the model's performance is enhanced by employing an ensemble-based machine learning approach, achieving 91% accuracy compared to the traditional approach's 76%. Accurate prediction of building energy performance enables stakeholders, including energy policymakers and urban planners, to make informed decisions when planning large-scale retrofit measures

Urban residential building stock synthetic datasets for building energy performance analysis

The urban building stock dataset consists of synthetic input and output data for the energy simulation of one million buildings. The dataset consists of four different residential types, namely: terraced, detached, semi-detached, and bungalow. Constructing this buildings dataset requires conversion, categorization, extraction, and analytical processes. The dataset (in .csv) format comprises 19 input parameters, including advanced features such as HVAC system parameters, building fabric (walls, roofs, floors, door, and windows) U-values, and renewable system parameters. The primary output parameter in the dataset is Energy Use Intensity (EUI in kWh/(m2*year)), along with Energy Performance Certificate (EPC) labels categorized on an A to G rating scale. Additionally, the dataset contains end-use demand output parameters for heating and lighting, which are crucial output parameters. jEPlus, a parametric tool, is coupled with EnergyPlus and DesignBuilder templates to facilitate physics-based parametric simulations for generating the dataset. The dataset can be a valuable resource for researchers, practitioners, and policymakers seeking to enhance sustainability and efficiency in urban building environments. Furthermore, dataset holds immense potential for future research in the field of building energy analysis and modeling

Fault Tolerant Permanent Magnet Drives: Operating Under Open-circuit and Short-circuit Switch Faults

A series architecture providing a fault tolerant drive is proposed. The architecture includes one or two DC sources, two voltage source inverters and a PMSM. Three different operating modes are considered: normal mode, open-circuit degraded mode and short-circuit degraded mode. For each case, an adapted torque control strategy is proposed and tested. For the open phase mode, different operating criteria are considered. For short-circuit faults, two solutions are proposed. The proposed strategies are tested on an 8-pole 1 kW PM drive. They allow operating under fault conditions in real-time and their implementation is easy. The experimental results show the effectiveness of the proposed methods

RNAi and miRNA in Viral Infections and Cancers

Since the first report of RNA interference (RNAi) less than a decade ago, this type of molecular intervention has been introduced to repress gene expression in vitro and also for in vivo studies in mammals. Understanding the mechanisms of action of synthetic small interfering RNAs (siRNAs) underlies use as therapeutic agents in the areas of cancer and viral infection. Recent studies have also promoted different theories about cell-specific targeting of siRNAs. Design and delivery strategies for successful treatment of human diseases are becomingmore established and relationships between miRNA and RNAi pathways have been revealed as virus-host cell interactions. Although both are well conserved in plants, invertebrates and mammals, there is also variabilityand a more complete understanding of differences will be needed for optimal application. RNA interference (RNAi) is rapid, cheap and selective in complex biological systems and has created new insight sin fields of cancer research, genetic disorders, virology and drug design. Our knowledge about the role of miRNAs and siRNAs pathways in virus-host cell interactions in virus infected cells is incomplete. There are different viral diseases but few antiviral drugs are available. For example, acyclovir for herpes viruses, alpha-interferon for hepatitis C and B viruses and anti-retroviral for HIV are accessible. Also cancer is obviously an important target for siRNA-based therapies, but the main problem in cancer therapy is targeting metastatic cells which spread from the original tumor. There are also other possible reservations and problems that might delay or even hinder siRNA-based therapies for the treatment of certain conditions; however, this remains the most promising approach for a wide range of diseases. Clearly, more studies must be done to allow efficient delivery and better understanding of unwanted side effects of siRNA-based therapies. In this review miRNA and RNAi biology, experimental design, anti-viral and anti-cancer effects are discussed

High Resolution Melting Curve Assay for Detecting rs12979860 IL28B Polymorphisms Involved in Response of Iranian Patients to Chronic Hepatitis C Treatment

Background: A recent genome-wide association study (GWAS) on patients with chronic hepatitis C (CHC) treated with peginterferon and ribavirin (pegIFN-α/RBV) identified a single nucleotide polymorphism (SNP) on chromosome 19 (rs12979860) which was strongly associated with a sustained virological response (SVR). The aim of this study was twofold: to study the relationship between IL28B rs12979860 and sustained virological response (SVR) to pegIFN-α/RVB therapy among CHC patients and to detect the rs12979860 polymorphism by high resolution melting curve (HRM) assay as a simple, fast, sensitive, and inexpensive method. Materials and Methods: The study examined outcomes in 100 patients with chronic hepatitis C in 2 provinces of Iran from December 2011 to June 2013. Two methods were applied to detect IL28B polymorphisms: PCR-sequencing as a gold standard method and HRM as a simple, fast, sensitive, and inexpensive method. Results: The frequencies of IL28B rs12979860 CC, CT, and TT alleles in chronic hepatitis C genotype 1a patients were 10% (10/100), 35% (35/100), and 6% (6/100) and in genotype 3a were 13% (13/100), 31% (31/100), and 5% (5/100), respectively. In genotype 3a infected patients, rs12979860 (CC and CT alleles) and in genotype 1a infected patients (CC allele) were significantly associated with a sustained virological response (SVR). The SVR rates for CC, CT and TT (IL28B rs12979860) were 18%, 34% and 4%, respectively. Multiple logistic regression analysis identified two independent factors that were significantly associated with SVR: IL-28B genotype (rs 12979860 CC vs TT and CT; odds ratio [ORs], 7.86 and 4.084, respectively), and HCV subtype 1a (OR, 7.46). In the present study, an association between SVR rates and IL28B polymorphisms was observed. Conclusions: The HRM assay described herein is rapid, inexpensive, sensitive and accurate for detecting rs12979860 alleles in CHC patients. This method can be readily adopted by any molecular diagnostic laboratory with HRM capability and will be clinically beneficial in predicting treatment response in HCV genotype 1 and 3 infected patients. In addition, it was demonstrated that CC and CT alleles in HCV-3a and the CC allele in HCV-1a were significantly associated with response to pegIFN-α/RBV treatment. The present results may help identify subjects for whom the therapy might be successful

Peach–potato aphid myzus persicae : current management strategies, challenges, and proposed solutions

The peach–potato aphid, Myzus persicae (Sulzer), is one of the most important pests of economic crops. It damages the plant directly by consuming nutrients and water and indirectly by transmitting plant viruses. This pest has the unenviable title of having resistance to more insecticides than any other herbivorous insect pest. Due to the development of its resistance to chemical pesticides, it is necessary to find other control options. Consequently, increased efforts worldwide have been undertaken to develop new management approaches for M. persicae. In this review, we highlight the problems associated with the peach–potato aphid, its economic importance, and current management approaches. This review also describes the challenges with current management approaches and their potential solutions, with special focus given to the evolution of insecticidal resistance and sustainable pest management strategies, such as biocontrol agents, entomopathogens, the use of natural plant-derived compounds, and cultural methods. Furthermore, this review provides some successful approaches from the above eco-friendly pest management strategies that show high efficacy against M. persicae.The Sino-Pakistan Project, the National Natural Science Foundation of China, the International (Regional) Cooperation and Exchange Program, the Research Fund for International Young Scientists, a project of Zhejiang University Excellent Teaching Post B (Professional), the Jiangsu Collaborative Innovation Center for Modern Crop Production, China, and the Key Laboratory of State Forestry and Grassland Administration on Highly Efficient Utilization of Forestry Biomass Resources in Southwest China.https://www.mdpi.com/journal/sustainabilityam2024Zoology and EntomologySDG-02:Zero Hunge