Minnesota Department of Corrections

The effects of victimization on residents in prison is an understudied area within the corrections literature. To help fill this gap, we used administrative and survey data on a sample of about 1,600 residents in Minnesota's prison system to examine the relationship between being the victim of a physical attack and perceptions of safety and a culture of violence. The results showed that residents were more likely to report being attacked in prison within the previous year when they were in prison for a sex offense, were younger in age, and had more prior misconducts. Victimization was negatively associated with perceptions of personal safety while, at the same time, positively related to the extent to which residents adopted a culture of violence. Perceptions of decreased safety were also found for women, Black residents, individuals in higher custody levels, and those who reported greater difficulty sleeping. Endorsing a culture of violence was significantly more likely for men, younger residents, individuals with more mental health concerns, and those reporting more problems relating to hunger and sleep.

Recently, much attention has emphasized understanding the negative health outcomes of working in corrections; however, understanding correctional staff victimization has largely been neglected. Therefore, we aim to address this gap in the literature by using target congruence theory to better understand risk of physical assault and verbal and sexual harassment of institutional correctional staff. Using data from a statewide random sample of correctional staff, analyses reveal that target vulnerability is the most useful in understanding correctional staff assault and harassment. These findings indicate that mental health, specifically anxiety and depression, place correctional staff at a higher risk for victimization and staff who engaged in hostile behavior were at a higher risk for harassment.

Abstract This chapter explores the complex role of self-care in the lives of women of color. Originally a tool for healing and resistance, self-care is often co-opted by oppressive systems and weaponized, shifting the burden of burnout onto individuals. The authors critique mainstream, commodified self-care narratives while reclaiming it as an act of defiance and survival. Through storytelling and cultural analysis, the chapter redefines self-care as both a shield and a weapon—empowering and protective when practiced with intention. It urges readers to reconsider self-care in the context of systemic demands, emotional labor, and the need for radical preservation.

This paper investigates intelligence-based spectrum management in one aspect in addition to the performance, and in another to security for next generation wireless systems. The research assesses how cybersecurity affects spectrum utilization, adversarial attack detection, system latency, and energy efficiency through simulated dynamic spectrum scenarios. The findings show that secure systems always outperform the insecure systems based on KPIs like spectrum efficiency, detection accuracy, and responsiveness of the system. In addition, secure setups will have much lower energy consumption because there is a direct trade-off between security and resources. This study demonstrates the necessity of integrating highly effective cybersecurity measures to protect against these growing threats, securing resilient and efficient space utilization in next generation wireless systems.

ABSTRACT Over the past decade, scholars and activists have called for reforms to and reductions in the practice of restrictive housing. This study evaluates a pilot program that was implemented in a women’s state prison in which those sent to segregation following a disciplinary infraction participated in a one-time cognitive-behavioral intervention. Propensity score matching was used to reduce observable selection bias between program participants and the comparison pool. The findings revealed program participants did not significantly differ from the comparison group in either the occurrence or frequency of new institutional misconduct. Qualitative feedback received from participants, non-participants, and staff was analyzed in an attempt to identify explanations for the null results. Implications of the findings and recommendations for improving the program are discussed.

The problem in this research is the existence of a legal vacuum related to the form and content of policy regulations in Indonesia, especially in Law Number 30 of 2014 concerning Government Administration, which often causes legal uncertainty in its application in government administration. So this research aims to analyze and provide a construction of the presence of policy regulations in the Amendment to the Government Administration Law. The research method used is normative legal research, using statutory, conceptual, and comparative approaches. The results showed that the construction of forms of policy regulations in the amendment to the Government Administration Law includes circulars, instructions, implementation instructions, technical instructions, announcements, and guidelines. The content material of policy regulations includes regulation or free policy-making if the laws and regulations provide options, do not regulate, or are incomplete or unclear; the existence of government stagnation; interpreting rules and regulations; and providing instructions or guidelines. Regarding sanctions, policy regulations can only contain administrative sanctions. The nature of policy regulations, namely, policy regulations generally bind the intended administrative body or official but will indirectly affect the general public, is abstract and applies continuously. As a result of not regulating policy regulations in the Government Administration Law, in practice, the use of policy regulations often creates legal uncertainty, where in its application there are policy regulations but in the form of laws and decisions and also policy regulations that seem to limit the rights of citizens guaranteed by the 1945 Constitution and contain criminal sanctions.

The rapid proliferation of linked devices, including wearables, sensors, mobile devices, and Internet of Things devices, has significantly increased network data traffic. Perhaps the source of this enormous amount of data is the Internet of Things. Data is sent to the cloud or another centralized system for machine learning (ML) via Internet of Things (IoT) devices. This method is still used even if network traffic and latency are rising. By moving processing duties to the network's edge, where data sources are located, edge computing may be able to solve these difficulties. The problem might be identified and fixed more quickly as a result. Machine learning is not a good fit for edge computing because of its limited processing power. The drawback of edge computing is substantial. Using edge nodes, this paper combines cloud and edge computing for IOT data analytics. Comparative analysis involves similarity-based processing. Deep learning could uncover novel characteristics. Perhaps the encoder is at the network edge, while the trained auto encoder's decoder is in the cloud. This study focused on the difficulties of detecting human activity from dwindling sensor data. Sliding windows in the deep auto encoder (AE) may reduce edge data by $80 \%$ during the preparation phase without compromising accuracy. With no impact on throughput, this is possible. Even without other methods, this is possible.

ABSTRACT This study examines whether the relationship between prior victimization and fear of crime is dependent upon neighborhood characteristics known to influence fear. Using data from the Seattle Neighborhoods and Crime Survey, we conducted multilevel models predicting risk perception and crime-specific fear. The results showed both property and violent victimization were related to perceived unsafety, fear of violence, and fear of burglary. These relationships were moderated by collective efficacy, neighborhood disorder, and the presence of busy places. In particular, the relationship between prior victimization and fear of crime appeared to be weaker in neighborhoods where fear of crime is already high.