Domestic Violence

Background. Domestic violence, intimate partner violence (IPV), or domestic abuse, is defined as a pattern of behaviors used by one partner to maintain power and control over another partner in an intimate relationship. These behaviors include physical acts and nonphysical acts, including using (a) intimidation, (b) coercion, (c) threats, (d) isolation, and (e) finances to maintain power. Domestic abuse occurs regardless of (a) race, (b) gender, (c) age, (d) sexual orientation, and (e) socioeconomic status. The immediate effects of domestic violence manifest in the form of physical injuries, including (a) cuts, (b) bruises, (c) bitemarks, (d) concussions, and (e) sexually transmitted diseases (STDs). Long term and repetitive abuse leads to chronic emotional and psychological problems, including (a) depression, (b) post-traumatic stress disorder (PTSD), and (c) alcohol and substance abuse. Methods. A comprehensive search was conducted using Google and Google Scholar, utilizing the search terms (a) domestic abuse statistics, (b) domestic violence, and (c) intimate partner violence, for the years 2011 through 2018 and in English. Results. Within the United States, greater than 12 million people are victims of intimate partner violence annually. Greater than 1 in 4 women and 1 in 9 men have been victims of rape, physical violence or stalking in their lifetime resulting in a negative impact such as (a) injury, (b) fear, (c) concern for safety, or (d) needing services. An estimated 19.3% of women and 1.7% of men have been raped during their lifetimes. An estimated 43.9% of women and 23.4% of men experienced other forms of sexual violence during their lifetimes, including (a) being made to penetrate, (b) sexual coercion, (c) unwanted sexual contact, and (d) noncontact unwanted sexual experiences. An estimated 15.2% of women and 5.7% of men have been a victim of stalking during their lifetimes. Prevalence rates for emotional abuse average 80%; 40% of women and 32% of men reported expressive aggression, and 41% of women and 43% of men reported coercive control. Hispanic women (50.7%), black women (63.0%), white women (66.4%), Asian women (29.5%), and multiracial woman (91.5% ) have experienced some form of sexual violence in their lifetime. Additionally, 45.3% of American Indian or Alaska Native men and approximately 40% of Black and multiracial non-Hispanic men in the U.S. reported experiencing rape, physical violence, and/or stalking by an intimate partner during their lifetime. Furthermore, 44% of lesbians and 61% of bisexual women experience rape, physical violence, or stalking by an intimate partner compared to 35% of heterosexual women. 26% of gay men and 37% of bisexual men experience rape, physical violence, or stalking by an intimate partner compared to 35% of heterosexual men. Conclusion/ Recommendations. Recommendations are focused on (a) prevention of domestic violence, (b) raising awareness, specifically for men and the LGBTQ community who are victims of domestic violence, (c) decreasing victim shame, and (d) disseminating information and statistics to the public that are informative, but not misleading. Prevention begins at an early age by promoting healthy, respectful relationships in families

The Relation Between Discrimination, Sense of Coherence and Health Varies According to Ethnicity; A Study Among Three Distinct Population Groups Living in Israel

Self-reported experiences of discrimination and sense of coherence (SOC) have been found to be associated with health. A face-to-face survey of Long Term Jewish Residents (LTJR), Arabs and former Soviet Union (fSU) immigrants in Israel was performed. Respondents reported their physical and mental health, self-reported experiences of discrimination, SOC and socioeconomic status. Multivariable logistic regressions and bootstrapping path analyses were performed. Discrimination was associated with health after adjusting for all other variables. SOC was also associated with health. SOC did not mediate the strong association between discrimination and health among Israeli LTJR, but was a significant mediator among Arabs and fSU immigrants. Discrimination seems to have a direct effect on health only among the majority and not among minority populations. High levels of SOC may reduce the negative effects of discrimination on health by serving as a coping resource, however only among minorities

Recovery from a cycling time trial is enhanced with carbohydrate-protein supplementation vs. isoenergetic carbohydrate supplementation

Background: In this study we assessed whether a liquid carbohydrate-protein (C+P) supplement (0.8 g/kg C; 0.4 g/kg P) ingested early during recovery from a cycling time trial could enhance a subsequent 60 min effort on the same day vs. an isoenergetic liquid carbohydrate (CHO) supplement (1.2 g/kg). Methods: Two hours after a standardized breakfast, 15 trained male cyclists completed a time trial in which they cycled as far as they could in 60 min (AMex) using a Computrainer indoor trainer. Following AMex, subjects ingested either C+P, or CHO at 10, 60 and 120 min, followed by a standardized meal at 4 h post exercise. At 6 h post AMex subjects repeated the time trial (PMex). Results: There was a significant reduction in performance for both groups in PMex versus AMex. However, performance and power decreases between PMex and AMex were significantly greater (p ≤ 0.05) with CHO (-1.05 ± 0.44 km and -16.50 ± 6.74 W) vs C+P (-0.30 ± 0.50 km and -3.86 ± 6.47 W). Fat oxidation estimated from RER values was significantly greater (p ≤ 0.05) in the C+P vs CHO during the PMex, despite a higher average workload in the C+P group. Conclusion: Under these experimental conditions, liquid C+P ingestion immediately after exercise increases fat oxidation, increases recovery, and improves subsequent same day, 60 min efforts relative to isoenergetic CHO ingestion

Fatalism, Diabetes Management Outcomes, and the Role of Religiosity

This study aimed to determine whether fatalistic beliefs were associated with elevated levels of glycated hemoglobin (HbA1c) and to establish the role of religiosity in this relationship. A cross-sectional survey was conducted on a sample of 183 Jewish adults with diabetes visiting a large medical center in northern Israel. Self-administered questionnaires assessed level of religiosity, fatalistic beliefs, diabetes management behaviors, and demographic/personal characteristics; laboratory tests were used to measure HbA1c. Multivariate regression indicated that fatalism was significantly associated with HbA1c (β = 0.51, p = 0.01). The association was no longer statistically significant after including self-reported religiosity in the model (β = 0.31, p = 0.13). This phenomenon is likely due to a confounding relationship between the religious/spiritual coping component of the fatalism index and self-reported religiosity (r = 0.69). The results indicate that addressing fatalistic attitudes may be a viable strategy for improving diabetes management, but call for a better understanding of the interplay between religiosity and fatalism in this context

Crowdsourcing Image Extraction and Annotation: Software Development and Case Study

We describe the development of web-based software that facilitates large-scale, crowdsourced image extraction and annotation within image-heavy corpora that are of interest to the digital humanities. An application of this software is then detailed and evaluated through a case study where it was deployed within Amazon Mechanical Turk to extract and annotate faces from the archives of Time magazine. Annotation labels included categories such as age, gender, and race that were subsequently used to train machine learning models. The systemization of our crowdsourced data collection and worker quality verification procedures are detailed within this case study. We outline a data verification methodology that used validation images and required only two annotations per image to produce high-fidelity data that has comparable results to methods using five annotations per image. Finally, we provide instructions for customizing our software to meet the needs for other studies, with the goal of offering this resource to researchers undertaking the analysis of objects within other image-heavy archives

The NOESY Jigsaw: Automated Protein Secondary Structure and Main-Chain Assignment from Sparse, Unassigned NMR Data

High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and function at rates comparable to current gene-sequencing technology. This paper presents the Jigsaw algorithm, a novel high-throughput, automated approach to protein structure characterization with nuclear magnetic resonance (NMR). Jigsaw consists of two main components: (1) graph-based secondary structure pattern identification in unassigned heteronuclear NMR data, and (2) assignment of spectral peaks by probabilistic alignment of identified secondary structure elements against the primary sequence. Jigsaw\u27s deferment of assignment until after secondary structure identification differs greatly from traditional approaches, which begin by correlating peaks among dozens of experiments. By deferring assignment, Jigsaw not only eliminates this bottleneck, it also allows the number of experiments to be reduced from dozens to four, none of which requires 13C-labeled protein. This in turn dramatically reduces the amount and expense of wet lab molecular biology for protein expression and purification, as well as the total spectrometer time to collect data. Our results for three test proteins demonstrate that we are able to identify and align approximately 80 percent of alpha-helical and 60 percent of beta-sheet structure. Jigsaw is extremely fast, running in minutes on a Pentium-class Linux workstation. This approach yields quick and reasonably accurate (as opposed to the traditional slow and extremely accurate) structure calculations, utilizing a suite of graph analysis algorithms to compensate for the data sparseness. Jigsaw could be used for quick structural assays to speed data to the biologist early in the process of investigation, and could in principle be applied in an automation-like fashion to a large fraction of the proteome

Intelligent or smart cities and buildings: a critical exposition and a way forward

In the last decade, there has been an undoubtedly rising interest in the field of intelligent and smart built environments from design and construction to management, operational and governance perspectives. These recent endeavors, observed at both academic and professional levels, can be classified into city, neighborhood and building scales. In this context, understanding what we really mean by the word intelligent and smart is crucially important. This technical note attempts to clarify and further explore how intelligence differs from smartness in this context. Having intelligence as the main umbrella embracing other interrelated smart subsets is one way of thinking as supported by previous debates, while there are also other lines of thinking with more preference on the smartness as the core concept

A Markov Approach for Increasing Precision in the Assessment of Data-Intensive Behavioral Interventions

Health interventions using real-time sensing technology are characterized by intensive longitudinal data, which has the potential to enable nuanced evaluations of individuals’ responses to treatment. Existing analytic tools were not developed to capitalize on this opportunity as they typically focus on first-order findings such as changes in the level and/or slope of outcome variables over different intervention phases. This paper introduces an exploratory, Markov-based empirical transition method that offers a more comprehensive assessment of behavioral responses when intensive longitudinal data are available. The procedure projects a univariate time-series into discrete states and empirically determines the probability of transitioning from one state to another. State transition probabilities are summarized separately in phase-specific transition matrices. Comparing transition matrices illuminates intricate, quantifiable differences in behavior between intervention phases. Statistical significance is estimated via bootstrapping techniques. This paper introduces the methodology via three case studies from a secondhand smoke reduction trial utilizing real-time air particle sensors. Analysis enabled the identification of complex phenomena such as avoidance and escape behavior in response to punitive contingencies for tobacco use. Additionally, the largest changes in behavior dynamics were associated with the introduction of behavioral feedback. The Markov approach‘s ability to elucidate subtle behavioral details has not typically been feasible with standard methodologies, mainly due to historical limitations associated with infrequent repeated measures. These results suggest that the evaluation of intervention effects in data-intensive single-case designs can be enhanced, providing rich information that can ultimately be used to develop interventions uniquely tailored to specific individuals

Sigma-2 receptor agonist derivatives of 1-Cyclohexyl-4-[3-(5-methoxy-1,2,3,4-tetrahydronaphthalen-1-yl)propyl]piperazine (PB28) induce cell death via mitochondrial superoxide production and caspase activation in pancreatic cancer

Abstract Background Despite considerable efforts by scientific research, pancreatic cancer is the fourth leading cause of cancer related mortalities. Sigma-2 receptors, which are overexpressed in several tumors, represent promising targets for triggering selective pancreatic cancer cells death. Methods We selected five differently structured high-affinity sigma-2 ligands (PB28, PB183, PB221, F281 and PB282) to study how they affect the viability of diverse pancreatic cancer cells (human cell lines BxPC3, AsPC1, Mia PaCa-2, and Panc1 and mouse Panc-02, KCKO and KP-02) and how this is reflected in vivo in a tumor model. Results Important cytotoxicity was shown by the compounds in the aggressive Panc02 cells, where cytotoxic activity was caspase-3 independent for four of the five compounds. However, both cytotoxicity and caspase-3 activation involved generation of Reactive Oxygen Species (ROS), which could be partially reverted by the lipid antioxidant \u3b1-tocopherol, but not by the hydrophilic N-acetylcysteine (NAC) indicating crucial differences in the intracellular sites exposed to oxidative stress induced by sigma-2 receptor ligands. Importantly, all the compounds strongly increased the production of mitochondrial superoxide radicals except for PB282. Despite a poor match between in vitro and the in vivo efficacy, daily treatment of C57BL/6 mice bearing Panc02 tumors resulted in promising effects with PB28 and PB282 which were similar compared to the current standard-of-care chemotherapeutic gemcitabine without showing signs of systemic toxicities. Conclusions Overall, this study identified differential sensitivities of pancreatic cancer cells to structurally diverse sigma-2 receptor ligands. Of note, we identified the mitochondrial superoxide pathway as a previously unrecognized sigma-2 receptor-activated process, which encourages further studies on sigma-2 ligand-mediated cancer cell death for the targeted treatment of pancreatic tumors

Variable Magnitude and Frequency Financial Reinforcement is Effective at Increasing Adults’ Free-Living Physical Activity

Financial rewards can increase health behaviors, but little research has quantified the effects of different reinforcement schedules on this process. This analysis compares the average moderate-to-vigorous physical activity (MVPA) associated with six distinct positive reinforcement schedules implemented within a physical activity promotion clinical trial. In this trial, participants (N = 512) wore an accelerometer for 1 year and were prescribed one of two types of MVPA goals: a static 30-min goal or an adaptive goal based on the MVPA produced over the previous 9 days. As participants met goals, they transitioned through a sequence of reinforcement stages, beginning with a continuous-fixed magnitude (CRF-FM), then CRF-variable magnitude (CRF-VM), followed by a series of variable ratio-VM (VR-VM) schedules. The average accumulation of MVPA bouts over the last 24 days of each stage was compared to each other. Average MVPA during stage transitions was also examined. The results indicated that immediate reinforcement resulted in more MVPA relative to a comparison group and that the relative effectiveness of adaptive versus static goals was dependent on the magnitude of daily MVPA goals. Schedule effects were qualitatively different for individuals who frequently met their daily goals (Large Intervention Effect subgroup) versus those who did not (Small Intervention Effect subgroup). For the Large Intervention Effect group, the CRF-VM schedule produced the most MVPA, in particular within the adaptive goal condition, with increases observed immediately upon encountering this schedule. In contrast, the CRF-FM schedule produced small amounts of MVPA. This pattern was reversed for the Small Intervention Effect subgroup, where the most MVPA was associated with the CRF-FM stage. Future interventions should focus on discriminating small versus large intervention effects as quickly as possible so that the optimal reinforcement schedule can be used