Challenges Specific to Women in Detoxification Settings: Providers’ Perspectives

Within detox settings, women with substance use disorders may present with a myriad of risk factors and consequences related to their use. This research explored biopsychosocial issues specific to women using detoxification services and how medical concerns, comorbid mental health issues, trauma history, and pregnancy/children affected subsequent linkages to treatment by interviewing professionals who worked with this population within detoxification settings. Licensed professionals (n=8) were interviewed regarding their experiences with women in detox settings. The resulting data from interview transcriptions were analyzed, and themes that developed included admission contexts, vulnerability, comorbidity, barriers to treatment, and integrated care. Findings revealed common themes with vulnerabilities unique to women in detox settings, including significant physical and sexual trauma, medical and mental health comorbidity, and barriers to treatment such as being a custodial parent. The need for integrated care also arose as a common theme amongst participants. Awareness of these needs allows social workers to develop a deep understanding of the complexities that women with substance use disorders present with, especially those that access detox services, and acquire the skills to effectively work with this population to improve recovery outcomes

Challenges Specific to Women in Detoxification Settings: Providers’ Perspectives

Within detox settings, women with substance use disorders may present with a myriad of risk factors and consequences related to their use. This research explored biopsychosocial issues specific to women using detoxification services and how medical concerns, comorbid mental health issues, trauma history, and pregnancy/children affected subsequent linkages to treatment by interviewing professionals who worked with this population within detoxification settings. Licensed professionals (n=8) were interviewed regarding their experiences with women in detox settings. The resulting data from interview transcriptions were analyzed, and themes that developed included admission contexts, vulnerability, comorbidity, barriers to treatment, and integrated care. Findings revealed common themes with vulnerabilities unique to women in detox settings, including significant physical and sexual trauma, medical and mental health comorbidity, and barriers to treatment such as being a custodial parent. The need for integrated care also arose as a common theme amongst participants. Awareness of these needs allows social workers to develop a deep understanding of the complexities that women with substance use disorders present with, especially those that access detox services, and acquire the skills to effectively work with this population to improve recovery outcomes

Nonlinear combining and compression in multicore fibers

We demonstrate numerically light-pulse combining and pulse compression using wave-collapse (self-focusing) energy-localization dynamics in a continuous-discrete nonlinear system, as implemented in a multicore fiber (MCF) using one-dimensional (1D) and 2D core distribution designs. Large-scale numerical simulations were performed to determine the conditions of the most efficient coherent combining and compression of pulses injected into the considered MCFs. We demonstrate the possibility of combining in a single core 90% of the total energy of pulses initially injected into all cores of a 7-core MCF with a hexagonal lattice. A pulse compression factor of about 720 can be obtained with a 19-core ring MCF

Exceptional del Pezzo hypersurfaces

We compute global log canonical thresholds of a large class of quasismooth well-formed del Pezzo weighted hypersurfaces in $\mathbb{P}(a_{1},a_{2},a_{3},a_{4})$. As a corollary we obtain the existence of orbifold K\"ahler--Einstein metrics on many of them, and classify exceptional and weakly exceptional quasismooth well-formed del Pezzo weighted hypersurfaces in $\mathbb{P}(a_{1},a_{2},a_{3},a_{4})$.Comment: 149 pages, one reference adde

Fano 3-folds in P2xP2 format, Tom and Jerry

We study Q-factorial terminal Fano 3-folds whose equations are modelled on those of the Segre embedding of P^2xP^2. These lie in codimension 4 in their total anticanonical embedding and have Picard rank 2. They fit into the current state of classification in three different ways. Some families arise as unprojections of degenerations of complete intersections, where the generic unprojection is a known prime Fano 3-fold in codimension 3; these are new, and an analysis of their Gorenstein projections reveals yet other new families. Others represent the "second Tom" unprojection families already known in codimension 4, and we show that every such family contains one of our models. Yet others have no easy Gorenstein projection analysis at all, so prove the existence of Fano components on their Hilbert scheme

Space Division Multiplexing in Optical Fibres

Optical communications technology has made enormous and steady progress for several decades, providing the key resource in our increasingly information-driven society and economy. Much of this progress has been in finding innovative ways to increase the data carrying capacity of a single optical fibre. In this search, researchers have explored (and close to maximally exploited) every available degree of freedom, and even commercial systems now utilize multiplexing in time, wavelength, polarization, and phase to speed more information through the fibre infrastructure. Conspicuously, one potentially enormous source of improvement has however been left untapped in these systems: fibres can easily support hundreds of spatial modes, but today's commercial systems (single-mode or multi-mode) make no attempt to use these as parallel channels for independent signals.Comment: to appear in Nature Photonic

Gorenstein Formats, Canonical and Calabi–Yau Threefolds

Gorenstein formats present the equations of regular canonical, Calabi–Yau and Fano varieties embedded by subcanonical divisors. We present a new algorithm for the enumeration of these formats based on orbifold Riemann-Roch and knapsack packing-type algorithms. We apply this to extend the known lists of threefolds of general type beyond the well-known classes of complete intersections and also to find classes of Calabi-Yau threefolds with canonical singularities

Comparative Case Study Between the Characteristics That the Use of Passive or Active Reinforcement in Ribbed Slab Attributes to the Construction of A Garage Building

The flexibility provided by buildings with larger spaces between pillars has increased its demand and popularity. For this reason, specific construction technics were developed to respond to this market demand. Some of the technics already developed are the ribbed slab and the prestressed concrete. In this context, this article aims to demonstrate how the choice between the use of reinforced concrete and prestressed concrete in ribbed slab influences the cost, the execution and the purpose of the construction of a garage building of 8,374m2 of area, planned to respond to the needs of a judicial forum in Manaus. The data were collected based on the structural projects for each type of slab (with reinforced concrete and prestressed concrete). The article demonstrates through tables and graphs that the amount of structural items, as well as the amount of material used in the infrastructure and the cost of execution of the prestressed concrete slab are inferior when compared to the reinforced concrete slab, in addition the prestressed concrete slab exhibited more advantageous in terms of functionality and execution for this analyzed case

Current sensor optimization based on simulated transfer function under partial discharge pulses

The time measurement efficiency of the partial discharge (PD) relies on the signal-to-noise ratio (SNR) and gain of the high-frequency current transformer (HFCT) sensor. However, the PD's time measurement efficiency decreases with the noise coupled to the HFCT in onsite measurements. To overcome that setback, this paper proposes one pre-processing, through modelling and simulation, considering the physical effects, features of the electrical circuit and coil construction parameters of the HFCT. The main goal is to reach reasonable high SNR under the strong influence of background noises. This investigation aims to validate the hypothesis of improvement or deterioration of the HFCT signal response through a transfer function optimization. This research effort's contributions are threefold: 1. Generation of PD pulse signal and noise addition; 2. HFCT modelling, simulation, and frequency response analysis; and 3. Models performance evaluation and validation of hypothesis. In conclusion, the pre-processing approach stands out as a means to robustify and provide freedom to the electric utility, making up for an eventual need to redefine the physical and geometrical parameters of the HFCT sensor under specific background noise for maintenance tests purpose. According to a cyber-physical system framework, experiments corroborate the project's goals to contribute to the PD pattern monitoring in onsite measurements and incorporate robustness to signals with low SNRs

A solar tracking system based on local solar time integrated to photovoltaic systems

The performance of photovoltaic (PV) systems is highly influenced by the tilt angle of PV modules and the incidence of global solar irradiance, which may change the solar to electrical conversion efficiency. Some authors have addressed these uncertainties arising from PV solar generation by using mechanisms and methods in which solar tracking systems are integrated to PV systems. Since the advent of the internet of things (IoT), this solar tracking strategy has yet to meet the requirements of scalable distributed power systems that can seamlessly support the PV solar generation, mainly for remote monitoring and control. In this context, this paper aims at developing a prospective study devoted to examine fundamental concepts to implement solar tracking algorithms based on local solar time by using embedded technology from the IoT platform. Preliminary results evidenced an improvement of up to 38% in power generation performance for algorithm-driven PV modules compared to fixed PV modules1402CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPnão temnão temnão te