Structural Equations Modeling of the Relationship between Virtual Addictions, Attachment Styles, and Demographic Variables with Pubbing

Introduction: Pubbing is an emerging concept in the pathological literature and is a communicational phenomenon and refers to the disorder of smartphone dependency. Despite the importance relationship between pubbing and Internet addiction, gaming, social media, and psychological indices such as attachment styles, this issue has not been evaluated in Iranian society to date. This study was conducted aimed to model the structural equations of the relationship between virtual addiction, attachment styles and demographic variables with the phenomenon of pubbing. Methods: This study was conducted in the form of a descriptive correlational design based on structural equation modeling. For this purpose, 356 individuals were selected by stratified random sampling from men and women of Qom city during April to August 2019 and entered the research process after obtaining entry criteria and informed consent. Seven scales of pubbing, Internet Addiction, Game Addiction, Social Media Addiction, Mobile phone Addiction, Texting Addiction, and Attachment Styles Questionnaire were used to collect data. Results: The results showed that the tested model has a good fit. The direct effect of mobile phone addiction (0.50), SMS addiction (0.18) and attachment (0.50) on pubbing was positive and significant at level of 0.01. Also, the indirect effect of game addiction and texting addiction was significant on pubbing at level of 0.01. It also explained 76% of the variance of pubbing for game addiction, texting addiction and attachment. However, the indirect effects of the addiction variables on pubbing through age variable were not significant. Conclusion: The findings of this study can be useful in planning the advancement horizons in prevention and management of pubbing phenomena and could have clinical applications. Declaration of Interest: None

deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations

The primary goal of this research is to propose a novel architecture for a deep neural network that can solve fractional differential equations accurately. A Gaussian integration rule and a $L_1$ discretization technique are used in the proposed design. In each equation, a deep neural network is used to approximate the unknown function. Three forms of fractional differential equations have been examined to highlight the method's versatility: a fractional ordinary differential equation, a fractional order integrodifferential equation, and a fractional order partial differential equation. The results show that the proposed architecture solves different forms of fractional differential equations with excellent precision

The Role of Five-Letter Words in Literature: An X-Area in New Translation Studies

Taboo or in general term ‘forbidden words’ plays a key role in literature through times. Heretofore, Translation of taboo or forbidden words in literature is a pivotal task to do. According to Allan and Burridge (2006), “taboo refers to a proscription of behavior for a specifiable community of one or more persons, at a specifiable time, in specifiable contexts (p. 11).” Taboo words in New Translation Studies (NTS) amplifies its significant influence in source-target amalgamation. This is due to the fact that translations either source-based or target-based tend to be homogenized so as to transfer the near essence of the text. In this connection, the way of translating taboo in literary texts is of crucial importance. Most of the translators resort to the natural equivalence or one-to-one correspondence for the ease of the target reader. Translating in accordance with the source regulations or the target ones is not the absolute license dealing with taboo or forbidden words. Translators should consider the void or X-area between the source and the target language in order to decipher the underlying potential in Source-Target translation. This study seeks to clarify the meaning of this X-area in New Translation Studies in literary phrases and texts. To better understand it, this article scrutinizes four utmost important approaches. The intended approaches are (1) language persistency, (2) language sensitivity, (3) the role of the decoding ability, and (4) Equimediation paradigm which inspect equivalents either deeply or superficially so as to persuade the audience on their workability, feasibility, and practicality. DOI: 10.5901/mjss.2015.v6n1s1p49

Heat transfer and fluid flow analysis using nanofluids in diamond-shaped cavities with novel obstacles

This work computationally explores the two-phase flow of nanofluids and their thermal energy transport coefficients in 3D diamond-shaped cavities with square-shaped barriers having reducing dimensions. Materials with two emissivity values, ε = 0.3 and 0.9, have been considered to investigate the effect of the radiation thermal energy transport coefficient while the hot side is maintained at 400 or 500 K. Two values of the Rayleigh number, Ra = 106 and 108, are used for the study. Cu nanoparticles (NPs) with an average size of 25nm have been used at a concentration of 0.01–0.05% in the base fluid. The temperature gradients and thermal energy transport coefficient characteristics are enhanced by raising the volume concentration of nanoparticles, but the streamlines do not alter substantially. By increasing Ra, the thermal energy transport coefficient rate is further augmented. It is also found that increasing the Ra and volume concentration of NPs results in enhanced heat transfer inside a cavity, while a change in the emissivity coefficient has no significant impact on the thermal and flow characteristics of the nanofluid. For each case, there is an optimum NP volume fraction for each model that leads to the highest Nusselt number.https://www.tandfonline.com/loi/tcfm20am2022Mechanical and Aeronautical Engineerin

Bushehr Elderly Health (BEH) programme: study protocol and design of musculoskeletal system and cognitive function (stage II).

Abstract INTRODUCTION: Musculoskeletal disorders and cognitive diseases are prevalent, and they are significant determinants of morbidity and mortality in older adults. The aim of this study is to investigate the prevalence of musculoskeletal and cognitive diseases and their risk factors and also to assess their associations during future follow-ups. METHODS AND ANALYSIS: Bushehr Elderly Health (BEH) programme is a population-based prospective cohort study being conducted in Bushehr, a southern province of Iran. A total of 3000 older people aged ≥60 years participated in the first stage from which 2772 were eligible to participate in the second stage, which started after 2.5 years. Data including demographic status, lifestyle factors, general healthandmedical history, and mentalandfunctional health are collected through a questionnaire. Anthropometric measures, performance testsandmuscle strength, blood pressure and and body composition measurements are done. A total 25 cc venous blood is taken, and sera are stored at -80°C for possible future analyses. ETHICS AND DISSEMINATION: The study protocol was approved by the ethics committee of Endocrinology and Metabolism Research Institute, affiliated to Tehran University of Medical Science as well as the Research Ethics Committee of Bushehr University of Medical Sciences. A written informed consent was signed by all the participants. The study findings will show the prevalence of musculoskeletal disease, cognitive impairment and their risk factors in an elderly population. The participants will be followed during the study to measure the occurrence outcomes.This study will also have the potential to inform the development of beneficial interventions to improve the management of musculoskeletal and cognitive impairment in Iran and other countries in the Middle East.Our findings will be disseminated via scientific publication as well as presentation to stakeholders, including the patients, clinicians, the public and policymakers, via appropriate avenue

Association between the rs2241883 polymorphism of the fatty acid-binding protein-1 (FABP1) gene and obesity in a population of MASHAD study cohort

Funding Information: We would like to thank Mashhad University of Medical Sciences Research Council for their financial supports.Peer reviewedPublisher PD

Bushehr Elderly Health (BEH) Programme, phase I (cardiovascular system)

Purpose: The main objective of the Bushehr Elderly Health Programme, in its first phase, is to investigate the prevalence of cardiovascular risk factors and their association with major adverse cardiovascular events. Participants: Between March 2013 and October 2014, a total of 3000 men and women aged ≥60 years, residing in Bushehr, Iran, participated in this prospective cohort study ( participation rate=90.2%). Findings to date: Baseline data on risk factors, including demographic and socioeconomic status, smoking and medical history, were collected through a modified WHO MONICA questionnaire. Vital signs and anthropometric measures, including systolic and diastolic blood pressure, weight, height, and waist and hip circumference, were also measured. 12-lead electrocardiography and echocardiography were conducted on all participants, and total of 10 cc venous blood was taken, and sera was separated and stored at –80°C for possible future use. Preliminary data analyses showed a noticeably higher prevalence of risk factors among older women compared to that in men. Future plans: Risk factor assessments will be repeated every 5 years, and the participantswill be followed during the study to measure the occurrence of major adverse cardiac events. Moreover, the second phase, which includes investigation of bone health and cognition in the elderly, was started in September 2015. Data are available at the Persian Gulf Biomedical Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran, for any collaboratio

Molecular docking evaluation of celecoxib on the boron nitride nanostructures for alleviation of cardiovascular risk and inflammatory

Celecoxib (CXB) is a nonsteroidal anti-inflammatory drug (NSAID) that can be used to treat rheumatoid arthritis and ischemic heart disease. In this research, density functional theory (DFT) and molecular docking simulations were performed to study the interaction of boron nitride nanotube (BNNT) and boron nitride nanosheet (BNNS) with CXB and its inhibitor effect on pro-inflammatory cytokines. The calculated adsorption energies of CXB with the BNNT were determined in aqueous phase. The results revealed that adsorption of CXB molecule via its SO2 group on BNNT is thermodynamically favored than the NH2 and CF3 groups in the solvent environment. Adsorption of CXB on BN nanomaterials are weak physisorption in nature. This can be attributed to the fact that both phenyl groups in CXB are not on the same plane and require significant activation energies for conformational changes to obtain greater H-π interaction. Both BNNT and BNNS materials had huge sensitivity in electronic change and short recovery time during CXB interaction, thus having potential as molecular sensor and biomedical carrier for the delivery of CXB drug. IL-1A and TNF-α were implicated as vital cytokines in diverse diseases, and they have been a validated therapeutic target to manage cardiovascular risk in patients with inflammatory bowel disease. A molecular docking simulation confirms that the BNNT loaded CXB could inhibit more pro-inflammatory cytokines including IL-1A and TNF-α receptors as compared to BNNS loaded to CXB

Relatório de estágio em farmácia comunitária

Relatório de estágio realizado no âmbito do Mestrado Integrado em Ciências Farmacêuticas, apresentado à Faculdade de Farmácia da Universidade de Coimbr