Comparison of marital conflict dimensions between substance dependence patients: Shishe, Crack, Opioids.

زمینه و هدف: رضایت از رابطه زناشویی عامل مهمی در استحکام و حفظ بهداشت روانی خانواده است. یکی از عوامل موثر در تجربه رضایت مندی از رابطه زناشویی و افزایش کیفیت زندگی و بهداشت روان در خانواده وجود یا عدم تعارضات شدید زناشویی بوده و تعارضات زناشویی یکی از مشکلات شایع در بیماران وابسته به مواد می باشد. مطالعه حاضر با هدف بررسی مقایسه ای تعارضات زناشویی در سه گروه سوء مصرف کننده شیشه، کراک و تریاک انجام شده است. روش بررسی: در این مطالعه توصیفی- تحلیلی 70 نفر از بیماران مبتلا به وابستگی به مواد (16 نفر تریاک، 18 نفر کراک و 17 نفر شیشه) مراجعه کننده به کلینیک اعصاب و روان اصفهان (کلینیک پارسه) و بخش ترک اعتیاد بیمارستان حضرت علی اصغر(ع) اصفهان به روش نمونه گیری در دسترس انتخاب شدند. تعارضات زناشویی در بیماران با استفاده از مقیاس شیوه های تعارض در اختلافات زناشویی اشتراوس ( CTS-II ) بررسی و با 19 نفر در گروه کنترل مورد مقایسه قرار گرفت. داده ها به کمک آزمون های آماری آنالیز واریانس چند متغیره و آزمون تعقیبی شفه تجزیه و تحلیل شد. یافته ها: بین نمرات گروه ها در نمره کل و نیز در تمامی خرده مقیاس های خشونت روانی، خشونت جسمانی، آزار کلامی، آزار جنسی و آسیب اختلاف معنی داری وجود داشت (05/0 P< ). وابستگان به شیشه در تمامی خرده مقیاس ها، میانگین نمرات بالاتری نسبت به گروه کنترل و نیز گروه وابسته به تریاک نشان می دادند (05/0 P< ). تفاوت بین نمرات افراد وابسته به کراک و شیشه فقط در خرده مقیاس خشونت جسمانی معنی دار بود (05/0 P< ). نتیجه گیری: به نظر می رسد درمان مشکلات زناشویی در این بیماران و آموزش شیوه های موثر کنترل خشم، آموزش ارتباط جنسی سالم، آموزش حل تعارض و حل مساله نقش مهمی در افزایش رضایتمندی و به دنبال آن افزایش حمایت های خانوادگی و کاهش تعارضات و نارضایتی از روابط زناشویی ایفا خواهد کرد

A pedagogical introduction to the Slavnov formulation of quantum Yang-Mills theory

Over the last few years, Slavnov has proposed a formulation of quantum Yang-Mills theory in the Coulomb gauge which preserves simultaneously manifest Lorentz invariance and gauge invariance of the ghost field Lagrangian. This paper presents in detail some of the necessary calculations, i.e. those dealing with the functional integral for the S-matrix and its invariance under shifted gauge transformations. The extension of this formalism to quantum gravity in the Prentki gauge deserves consideration.Comment: 16 pages, review pape

Adsorption of polyphosphinocarboxylic acid (PPCA) scale inhibitor on carbon nanotubes (CNTs): A prospective method for enhanced oilfield scale prevention

A scale inhibitor ‘squeeze’ treatment is used in the oil and gas industry as a control measure to reduce the risk of mineral scale precipitation and deposition in the near-wellbore rock formation and associated installations. One of the determining factors in a successful squeeze job is the potential of formation rock to adsorb scale inhibitor (SI); the higher the adsorption, the better the treatment. This paper investigates the potential of employing carbon nanotubes (CNTs) to increase the adsorption of a common SI (polyphosphinocarboxylic acid, PPCA) on formation rock as part of a new methodology forming a ‘Nanotechnology-Assisted Squeeze Treatment’ (NAST). The focus here is assessing the adsorption potential of PPCA on CNTs for the purpose of creating a longer-lasting squeeze treatment. Analyses using various techniques including Transmission Electron Microscopy (TEM), Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Thermogravimetric Analysis (TGA) and Raman Spectroscopy are presented, and results indicate that up to 180 mg/g of PPCA adsorbed on CNTs, with strong bonding, which is significantly higher than the 1 mg/g adsorption of PPCA on crushed formation rock. Adsorption of PPCA decreases with increasing temperature of the solution, indicating an exothermic reaction. The impact of water salinity on adsorption is also considered, with calcium producing a positive effect on adsorption and sodium the opposite. It is also illustrated that a good dispersion of CNTs in the solution can dramatically increase the adsorption due to the exposure of higher surface area to PPCA in the solution. The influence of using CNTs on adsorption of SI onto internal surface of sandstone rock were evaluated using coreflood tests with simplified brines. The results demonstrate the potential of employing CNTs to increase adsorption of SI in squeeze treatments and possibly to improve the squeeze treatment lifetime

Wideband RF photonic vector sum phase-shifter

A novel broadband linear phase phase-shifter based on the vector summation method is proposed. A photonic implementation of the phase-shifter with a continuously variable linear phase-shift up to 120° over the frequency range of DC-4 GHz is demonstrated. Good agreement between the measured responses and theoretical predictions is obtained

Microwave Doppler tomography of high impedance ground planes for aerospace applications

© 2016 IEEE. Recent developments in the areas of metamaterials and high impedance ground planes (HIGPs) have created new opportunities for the development of novel multi-functional aerospace materials. One niche application of such materials is the suppression of electromagnetic surface waves across the outer mold line (OML) of aerospace structures. Doppler tomographic imaging and spectral filtering techniques are used to characterize the performance of a simple numerically simulated HIGP. A tapered HIGP concept is introduced to improve the performance over a range of illumination angles. This tapered HIGP is to be embroidered in a commercial aerospace pre-preg material. Experimental results will be presented at the conference

On 1-factorizations of Bipartite Kneser Graphs

It is a challenging open problem to construct an explicit 1-factorization of the bipartite Kneser graph $H(v,t)$, which contains as vertices all $t$-element and $(v-t)$-element subsets of $[v]:=\{1,\ldots,v\}$ and an edge between any two vertices when one is a subset of the other. In this paper, we propose a new framework for designing such 1-factorizations, by which we solve a nontrivial case where $t=2$ and $v$ is an odd prime power. We also revisit two classic constructions for the case $v=2t+1$ --- the \emph{lexical factorization} and \emph{modular factorization}. We provide their simplified definitions and study their inner structures. As a result, an optimal algorithm is designed for computing the lexical factorizations. (An analogous algorithm for the modular factorization is trivial.)Comment: We design the first explicit 1-factorization of H(2,q), where q is a odd prime powe

Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification

Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions that manifest in rare and subtle deviating heart patterns may be interesting. However, robust and reliable anomaly detection within these data remains a challenge due to the scarcity of labeled data and high inter-subject variability. This paper introduces a two-stage framework leveraging representation learning and personalization to improve anomaly detection performance in PPG data. The proposed framework first employs representation learning to transform the original PPG signals into a more discriminative and compact representation. We then apply three different unsupervised anomaly detection methods for movement detection and biometric identification. We validate our approach using two different datasets in both generalized and personalized scenarios. The results show that representation learning significantly improves anomaly detection performance while reducing the high inter-subject variability. Personalized models further enhance anomaly detection performance, underscoring the role of personalization in PPG-based fitness-health monitoring systems. The results from biometric identification show that it's easier to distinguish a new user from one intended authorized user than from a group of users. Overall, this study provides evidence of the effectiveness of representation learning and personalization for anomaly detection in PPG data

Very strong intrinsic supercurrent carrying ability and vortex avalanches in (Ba,K)Fe2As2 superconducting single crystals

We report that single crystals of (Ba,K)Fe2As2 with Tc = 32 K have a pinning potential, U0, as high as 10^4 K, with U0 showing very little field depend-ence. In addition, the (Ba,K)Fe2As2 single crystals become isotropic at low temperatures and high magnetic fields, resulting in a very rigid vortex lattice, even in fields very close to Hc2. The rigid vortices in the two dimensional (Ba,K)Fe2As2 distinguish this compound from 2D high Tc cuprate superconductors with 2D vortices, and make it being capable of cearrying very high critical current.Flux jumping due to high Jc was also observed in large samples at low temperatures.Comment: 4 pages, 7 figures. submitte

Fluctuation of mean free path and transition temperature induced vortex pinning in (Ba,K)Fe2As2 superconductors

The vortex pinning mechanisms of Ba0.72K0.28Fe2As2 single crystal have been studied systematically as a function of temperature and magnetic field. The temperature dependence of the critical current density, Jc(T), was analysed within the collective pinning model at different magnetic fields. It was found that both the dl pinning mechanism, i.e., pinning associated with charge-carrier mean free path fluctuation, and the dTc pinning mechanism, which is associated with spatial fluctuations of the transition temperature, coexist in the Ba0.72K0.28Fe2As2 single crystal in fields smaller than 4 T. Their contributions are strongly temperature and magnetic field dependent. At lower temperature and