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The Rdk1 quantitative trait loci (QTL) region included 11 scaffolds and two candidate genes putatively involved in the resistance response were identified. This study will contribute to C. sativa breeding programs and to the study of Rdk1 genes.

Homelessness among women and the multiple vulnerabilities they endure (sexual exploitation/human trafficking, violence, and mental health issues) is a perpetually unresolved issue in the U.S. and globally.

This study is based on qualitative in-depth interviews accompanied by brief socio-demographic surveys conducted among 32 total participants, consisting of cisgender females (

= 17) and cisgender males (

= 15) experiencing homelessness at a large public library.

Of the women, 35% were White, 35% Latina, 18% African American/Black, and 18% LGBT. Selleckchem Proteasome inhibitor Half of all participants said in qualitative interviews that they witnessed violence against women, and/or experienced unwanted harassment/sexual exploitation; one in three described suspected human trafficking. Of the women interviewed, half struggled with mental health symptoms, feelings of hopelessness, and nearly all reported isolation; approximately one-third had substance use issues. Many described an inadequate number of emergency and long-term shelters Available for women facing homelessness; many had to wait or saw other women waiting to get into shelters and faced abuse on the streets in the meantime.

The emergent themes showed that women face a "cycle of perpetual vulnerability" with three relational pathways iterated trauma from chronic abuse/violence inflicted on them, a state of paralysis due to inadequate availability of supportive services, shelters, and mental health resources to cover all women living on the streets, leaving women susceptible to being a target phenotype for predators.

The emergent themes showed that women face a "cycle of perpetual vulnerability" with three relational pathways iterated trauma from chronic abuse/violence inflicted on them, a state of paralysis due to inadequate availability of supportive services, shelters, and mental health resources to cover all women living on the streets, leaving women susceptible to being a target phenotype for predators.A diode-pumped Q-switched Er3+ZBLAN double-clad, single-transverse mode fiber laser is practically realized. The Q-switched laser characteristics as a function of pump power, repetition rate, and fiber length are experimentally investigated. The results obtained show that the Q-switched operation with 46 µJ pulse energy, 56 ns long pulses, and 0.821 kW peak power is achieved at a pulse repetition rate of 10 kHz. To the best of our knowledge, this is the highest-ever demonstrated peak power emitted from an actively Q-switched, single-transverse mode Er3+ZBLAN fiber laser operating near 2.8 µm.Wind has a significant influence on the operational flight safety. To quantify the influence of the wind characteristics, a wind series generator is required in simulations. This paper presents a method to model the stochastic wind based on operational flight data using the Karhunen-Loève expansion. The proposed wind model allows us to generate new realizations of wind series, which follow the original statistical characteristics. To improve the accuracy of this wind model, a vine copula is used in this paper to capture the high dimensional dependence among the random variables in the expansions. Besides, the proposed stochastic model based on the Karhunen-Loève expansion is compared with the well-known von Karman turbulence model based on the spectral representation in this paper. Modeling results of turbulence data validate that the Karhunen-Loève expansion and the spectral representation coincide in the stationary process. Furthermore, construction results of the non-stationary wind process from operational flights show that the generated wind series have a good match in the statistical characteristics with the raw data. The proposed stochastic wind model allows us to integrate the new wind series into the Monte Carlo Simulation for quantitative assessments.Deep learning-based artificial intelligence models are widely used in various computing fields. Especially, Convolutional Neural Network (CNN) models perform very well for image recognition and classification. In this paper, we propose an optimized CNN-based recognition model to recognize Caoshu characters. In the proposed scheme, an image pre-processing and data augmentation techniques for our Caoshu dataset were applied to optimize and enhance the CNN-based Caoshu character recognition model's recognition performance. In the performance evaluation, Caoshu character recognition performance was compared and analyzed according to the proposed performance optimization. Based on the model validation results, the recognition accuracy was up to about 98.0% in the case of TOP-1. Based on the testing results of the optimized model, the accuracy, precision, recall, and F1 score are 88.12%, 81.84%, 84.20%, and 83.0%, respectively. Finally, we have designed and implemented a Caoshu recognition service as an Android application based on the optimized CNN based Cahosu recognition model. We have verified that the Caoshu recognition service could be performed in real-time.Background Assistive technologies (AT) have been used to improve the daily living conditions of people living with dementia (PWD). Research supports the positive impact of the use of AT such as decreased burden on caregivers and behavioral support for people with dementia. Four reviews in the last six years have analyzed AT and PWD, but none have incorporated the dimension of medical outcomes. Objectives The purpose of this review is to identify the facilitators, barriers, and medical outcomes commensurate with the use of AT with PWD. Method This review queried The Cumulative Index of Nursing and Allied Health Literature (CINAHL), Web of Science, Science Direct, and PubMed databases for peer-reviewed publications in the last five years for facilitators, barriers, and medical outcomes commensurate with the use of AT with PWD. The study is reported and conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and the Kruse Protocol for conducting a systematic review.

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