Forms of Social Support That Moderate PTSD in Childhood Sexual Abuse Survivors

Although social support has been found to attenuate psychological symptoms in victims of sexual abuse, literature does not identify the specific forms of social support that mitigate maladjustment following a sexual abuse experience. This study sought to distinguish the specific types of perceived social support that buffer the development of post-traumatic stress disorder (PTSD) in victims of childhood sexual abuse (CSA). One hundred and seventy-two adult females reporting CSA were administered the Interpersonal Support Evaluation List (ISEL) and the Impact of Events Scale (IES). The ISEL measures the perceived availability of 4 support types. The IES measures core PTSD symptoms of intrusion and avoidance. Regression analysis indicated that social support significantly buffered PTSD development. The best model was one which contained self-esteem and appraisal support. Tangible and belonging support added little to prediction. Further, self-esteem support was identified as the most important variable in preventing PTSD development.     

论乡村法律信仰的缺失及培育

乡民对国家法律缺乏信仰,直接影响到法治建设的成败。通过田野调查发现,法律在乡民生活中未获得现实生命力,法外行政与司法权滥用抑制了法律信仰的形成。培植乡民对法律的需要,从体制上根治司法腐败,加大对乡村的法律服务供给,实为乡村社会建构法治秩序之前提。     

Are Shelter Workers Burned Out?: An Examination of Stress,Social Support,and Coping

Job stress, perceived social support, coping self-efficacy, and coping strategies were studied as predictors of emotional exhaustion and reduced personal accomplishment among a sample of 123 female shelter workers. Overall, these workers did not meet the collective criteria for burnout as defined by Maslach and Jackson (1986) and perceived social support and coping strategies did not account for unique variance in the prediction of emotional exhaustion and reduced personal accomplishment. Rather, high levels of time pressure and low levels of self-efficacy for being productive at work were identified as predictors of emotional exhaustion. Personal accomplishment was predicted by time pressure and robust levels of self-efficacy for dealing with stressors at work. An earlier version of this paper was presented at the 109th annual convention of the American Psychological Association. This paper is based on the Masters thesis of Lisa M. Baker and the undergraduate honors thesis of Nazish Salahuddin, both completed under the direction of Karen M. O’Brien. Gratitude is extended to Christel Nichols and to the crisis workers who participated in this study.     

An Empirical Study of a Peer Support System in Rehabilitation of Psychiatric Patients

The application of peer-support system in rehabilitation of psychiatric patients is explored from the perspective of recovery. This paper discusses the source of the recovery theory, the foundation and the factors of the peer support system, and its localized practice. This research presents an important path for peer support by building up an organization of mutual help among the mental-disease patients, a platform of mutual support among the families of these patients, and a social support network among the peer groups. It provides positive significance in the rehabilitation of the mental-disease patients.     

An Assessment of Juvenile Drug Courts’ Knowledge of Evidence‐Based Practices,Data Collection,and the Use of AA/NA

The use of evidence‐based practices (EBPs) has become a core component of juvenile drug courts (JDCs). This research, using a sample of JDCs listed with the National Association of Drug Court Professionals, tests two current assumptions in the field: 1) many JDCs do not use or are unaware of their use of EBPs and 2) JDCs tend to overuse sober support groups (e.g., AA/NA), which are thought to be inappropriate for youth. Results suggest that nearly all JDCs, in the sample, reported using EBPs; however, only about a quarter of them collected treatment data and knew the outcomes of the data. Also, only about half of the JDCs use sober support groups (predominantly AA/NA), and nearly all of the sober support groups were tailored toward youth. Overall, these findings suggest that the current assumptions in the field do not accurately reflect the practices reported by these JDCs. Implications are discussed.     

Automated Classification of Epiphyses in the Distal Radius and Ulna using a Support Vector Machine

The aim of this study was to automatically classify epiphyses in the distal radius and ulna using a support vector machine (SVM) and to examine the accuracy of the epiphyseal growth grades generated by the support vector machine. X‐ray images of distal radii and ulnae were collected from 140 Chinese teenagers aged between 11.0 and 19.0 years. Epiphyseal growth of the two elements was classified into five grades. Features of each element were extracted using a histogram of oriented gradient (HOG), and models were established using support vector classification (SVC). The prediction results and the validity of the models were evaluated with a cross‐validation test and independent test for accuracy (P_A). Our findings suggest that this new technique for epiphyseal classification was successful and that an automated technique using an SVM is reliable and feasible, with a relative high accuracy for the models.     

Classification of firing pin impressions using HOG-SVM

Crimes, such as robbery and murder, often involve firearms. In order to assist with the investigation into the crime, firearm examiners are asked to determine whether cartridge cases found at a crime scene had been fired from a suspect's firearm. This examination is based on a comparison of the marks left on the surfaces of cartridge cases. Firing pin impressions can be one of the most commonly used of these marks. In this study, a total of nine Ruger model 10/22 semiautomatic rifles were used. Fifty cartridges were fired from each rifle. The cartridge cases were collected, and each firing pin impression was then cast and photographed using a comparison microscope. In this paper, we will describe how one may use a computer vision algorithm, the Histogram of Orientated Gradient (HOG), and a machine learning method, Support Vector Machines (SVMs), to classify images of firing pin impressions. Our method achieved a reasonably high accuracy at 93%. This can be used to associate a firearm with a cartridge case recovered from a scene. We also compared our method with other feature extraction algorithms. The comparison results showed that the HOG-SVM method had the highest performance in this classification task.     

论诸法学流派对法律方法的理论支援

法律方法理论不仅受规范法学理论的制约和支持,而且也受其他法学流派的制约和支持。不同法学流派所支持的具体法律方法不尽相同。如价值法学之于价值衡量、社会法学之于事实替代、规范法学之于效力识别、经济分析法学之于利益衡量、多元论法学之于法律续造等,都更容易产生支持效果。尽管不同法学流派各自支持不同的法律方法,但这不否定某一法律方法受多个法学流派理论支援的情形,也不否定一个法学流派可以支持多种法律方法的情形。     

The intersubjective space–time of a Zulu choir/HIV support group in global perspective

This article draws from anthropology, conversation analysis, ethnomusicology, semiotics, and phenomenology, using the concept of intersubjectivity to model how the micro-organization of musical communication can be integral in social processes of support, identity maintenance, and activism amid structural inequality. This is based on ethnographic fieldwork in Durban, South Africa, with a Zulu gospel choir that functioned as a support group, activist organization, and performance troupe. Three distinct aspects (or levels) of intersubjectivity are discussed. The organization of these levels in music making is outlined through fine-grained discussion of how people with HIV coordinate bodies and voices in space as they make music together for each other and for international audiences. This article contributes to the further development of a musical semiotics, discussing how overlapping conceptualizations of intersubjectivity in multiple disciplines may be synthesized to analyze the performance of coordinated sonic action.     

Twenty years of femicide in Milan: A retrospective medicolegal analysis

Femicide constitutes a leading cause of premature deaths for women, yet it has been the subject of limited research until recently. Enhanced data collection and analysis on killings of women and girls are necessary to understand and address this unrelenting phenomenon. This study examines all cases of female homicide encountered at the Institute of Legal Medicine of Milan (Italy) spanning from 1999 to 2019; data from 2020/2021 were shown separately given the bias that the forced cohabitation and stay at home during the lockdowns of the SARS-CoV-2 pandemic may represent regarding violence against women and femicide. In this study, specific factors were considered, including the age and nationality of the victims, the place of recovery of the bodies, the victim’s relationship to the perpetrator and the injuries they suffered. As a result, 200 female killings were found among the over 15,000 autopsies and 535 homicides investigated at the Institute of Legal Medicine of Milan from 1999 to 2019, representing an average of 9.5 femicides yearly. The majority of victims were Italian (74%) and half were aged between 18 and 49 years old. The killings were overwhelmingly committed in the domestic setting (78.5%) by male perpetrators (at least 85%), related to the victims as intimate or ex-intimate partners and members of the family (73.5%). The homicides were mainly perpetrated with sharp (32%) or blunt instruments (21.5%), shooting (18.5%) and asphyxiation (16.5%). This study is part of a growing effort to enhance data collection and analysis on femicide. Studying and monitoring the rates of femicide (or “femicide watch”) will permit to better understand, reduce, and finally end femicide globally.