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In this chapter, we first provide an overview of health and mental health outcomes across the different types of street segments studied to assess whether residents of crime hot spots have more adverse health issues compared with residents living on street segments with little or no crime. We find that there are strong relationships between mental and physical health and living in crime hot spots as opposed to non-hot spots. We then examine whether negative health outcomes are a consequence of living in a crime hot spot. We find that hot spots of crime are not simply places with high crime rates; they are also places with strong physical and mental health deficits. After accounting for selection, several physical and mental health problems are found to result from living in a crime hot spot.
This chapter goes beyond a descriptive view of crime hot spots to explore how hot spots and non-hot spots vary within and across communities. Using the characteristics we focused on in Chapter 2, we ask whether the extent to which hot spots and non-hot spots differ depends on the type of community they are nested within. We also examine to what extent hot spot streets have similar characteristics across the city, or whether hot spots look different depending on the community they are nested within. We find that hot spots differ on most characteristics from streets with little crime regardless of the type of community they are nested in (as indicated by levels of concentrated disadvantage). At the same time, community context does matter in terms of understanding characteristics such as structural measures of social disorganization and disorder. Even so, we find that hot spots of crime have similarly low levels of informal social control irrespective of the communities in which they are nested.”
This chapter directly examines whether social context influences crime on street segments by building statistical models that examine the relationship between social context and crime, while taking into account key elements of opportunities for crime at place. Our findings reinforce the importance of including social context and informal social control in understanding crime rates at micro geographic places, while also confirming that opportunities for crime are important underlying causes of crime at the micro geographic level.
This chapter brings social context and social structure into the story of crime hot spots. We begin by examining why criminologists have, for the most part, ignored micro geographic study of crime until the late twentieth century. This was, in part, the result of not having data available at the micro geographic level, but also related to the overriding interests of sociologists in the study of spatial criminology with micro geographic units, such as neighborhoods and communities. We then turn to the importance of new theoretical innovations that focused interest on hot spots of crime, but led criminologists to largely ignore the social context of these places. Having placed the study of crime hot spots in historical perspective, we bring social context into the study of crime and place by examining variability of measures of social disadvantage and social disorganization across hot spots and non-hot spot streets in our study. We pay particular attention to informal social control as measured by collective efficacy in communities (Sampson et al., 1997). We also examine characteristics of hot spots that are often seen as tightly linked to crime, such as social and physical disorder and fear of crime.
In this introductory chapter, we set the stage for what we learned from our study in later chapters. We begin with a discussion of the law of crime concentration. In some sense, it is the first law of study of crime and place, because it provides a logic for why it is important to examine hot spots of crime. We then turn to a brief history and description of the research site for our study – Baltimore City, Maryland. It is important to put Baltimore in historical context to be able to understand the specific research environment from which we draw our data. Following this, we detail our data collection. We describe the main features of our research program, which employed rigorous methods to identify places for study and collect data for analyses. Finally, we provide an overview of the directions we take in the book, introducing the chapters that follow.
This chapter focuses directly on explaining low levels of informal social control at crime hot spots. In previous chapters, informal social control was found to vary greatly across the hot spot and non-hot spot streets in our study. In this chapter, we seek to explain that variability. We find that crime and social disorder are key factors in explaining low informal social control at crime hot spots. Contrary to broken windows theory, we find that physical disorder has little impact on informal or community social control.
In this concluding chapter, we begin by reviewing what we have learned about the social structure and social context of crime hot spots, and how that leads us to reconsider both our understanding of the crime problem and of hot spots of crime themselves. We then turn to the policy implications of our work. Focusing on the social context of crime hot spots opens up a new array of potential approaches to do something about the crime problem. In turn, it brings us to recognize that other problems concentrate at crime hot spots, and addressing those problems may be important to control crime, and to ameliorate the disadvantages that people who live in crime hot spots experience.
In this chapter, we begin by discussing how macro-level theories, such as social disorganization and collective efficacy, have been tested to understand the risk of victimization, followed by the application of routine activity theory to understand the locations of crime and risk of victimization at the individual or household level. We then turn to the characteristics of individuals that have long been seen as key to understanding victimization. Examining property crime victimization in our sample, our findings strongly support our interest in the impact of social context on crime.
Interoception refers to the ability to perceive and integrate physiological signals originating from within the body, such as heartbeat and respiration. This process involves both bottom-up and top-down. As a key neurophysiological marker of interoception, the heartbeat-evoked potential (HEP) reflects the cortical processing of cardiac signals in the brain. In this review, we first outline the neural mechanisms underlying interoception and HEP, followed by a comprehensive overview of the methodologies commonly employed in HEP research. Based on the directionality of interoceptive information flow, we categorize HEP-related experimental designs into three types: bottom-up bodily sensory input, top-down predictive perception, and top-down regulation. Additionally, we explore the clinical relevance of HEP in areas such as psychiatric disorders and cardiac-related conditions. Finally, we recommend expanding research on top-down predictive perception and top-down regulation in clinical contexts.
While hot spots of crime have become an important focus of study in criminology and an important focus of crime prevention in programs like hot spots policing, to date we know little about these places. Who lives in hot spots of crime? What factors lead to these places becoming crime hot spots? What other social and health problems are found in these places? The book draws on more than 7,000 surveys of people living on crime hot spot and non-hot spot streets, systematic physical and social observations, and structured qualitative data collection. The results of this study illustrate that hot spots of crime are not just hot spots for crime, but also many other social ills. By shedding light on the social features of hot spots of crime, the book recognizes the importance of informal social controls in understanding and preventing crime at crime hot spots. This title is also available as open access on Cambridge Core.
Microfluidic systems integrated with magnetic manipulation of microparticles, serving as a functional component, have been extensively used in various applications, including biomedical diagnostics and targeted drug delivery. Microparticle dynamics in confined microchannels is governed by hydrodynamic viscous effects, magnetic dipole interactions and enhanced interactions with microchannel boundaries, while an in-depth understanding of the underlying mechanisms is still evolving. This work presents a systematic investigation on the dynamic response of microparticles suspended in a quasi-stationary liquid within a microchannel under an external magnetic field using a three-dimensional lattice Boltzmann model (LBM). The hydrodynamic viscous effects and the two-way fluid–structure interaction are fully resolved in this model. A dimensionless analysis of the microparticle dynamic equation is performed first, leading to the identification of two key characteristic parameters central to this work: the magnetic number $N_{\textit{mag}}$, which characterises the synergy of the hydrodynamic viscous effect and the magnetic dipole interaction, and the particle–wall separation distance $R/l$, which accounts for the microchannel wall interaction. Further, a series of LBM simulations with different $N_{\textit{mag}}$ and $R/l$ are carried out. The results suggest that the spatial trajectories of microparticles remain unaffected in response to variation in $N_{\textit{mag}}$, while their aggregation times demonstrate a linear dependence on the reciprocal of $N_{\textit{mag}}$ when released from the same initial position. Moreover, vortices generated by the motion of microparticles within microchannels tend to migrate toward the microparticles themselves as they approach the microchannel walls. As a result, microparticles experience an enhanced hydrodynamic viscous effect, which prolongs their aggregation time and leads to slight deviations in their spatial trajectories. A predictive model for the aggregation time is established, accounting for the effects of the external magnetic field, the microchannel wall interaction, as well as the initial positions of microparticles. The findings in this work provide significant insights into the optimisation of microparticle-based microfluidic technologies, thereby promoting their development in biomedical and chemical analytical applications.
Longer-term outcome and safety data of repeated subcutaneous racemic ketamine for treatment-resistant depression (TRD) is lacking, as is knowledge of the impact of prior ketamine treatment on subsequent response.
Aims
To evaluate the effectiveness and safety of a 4-week course of subcutaneous racemic ketamine over 6 months and investigate whether prior ketamine treatment influences treatment response.
Method
An open label extension (OLE) of a randomised controlled trial (RCT) was conducted at seven mood disorder centres in Australasia, enrolling consenting trial participants who had a Montgomery-Åsberg Depression Rating Scale (MADRS) score of ≥20 at post-trial assessment. Participants initially received twice-weekly 0.5 mg/kg subcutaneous racemic ketamine (fixed regimen) for 4 weeks. Dosing was revised after a Data Safety Monitoring Board recommendation, to a ‘flexible regimen’ (0.5–0.9 mg/kg with response-guided increments). Depression and safety outcomes were assessed throughout treatment, and 4 weeks and 6 months later.
Results
130 RCT participants entered the OLE phase of whom 32 underwent the fixed OLE regimen and 98 the flexible regimen. At treatment end, 30% (36/116) had responded (MADRS reduction ≥50%), and 4 weeks later 17% (19/110) were ‘responders’. Over 50% experienced <25% MADRS reduction. There was no difference in depression response at any time point between regimens. Those treated with ketamine during the RCT showed a transient reduced response after first OLE treatment but at no other assessment point. There were no reports of suicide or suicidal behaviour requiring admission and only expected side-effects observed.
Conclusions
In a highly treatment-resistant sample, a 4-week course of subcutaneous racemic ketamine produced short-term clinical benefit in a minority of participants, with response rates declining substantially after treatment cessation, and no unexpected safety concerns. Exploratory subgroup analyses showed no association between prior RCT ketamine exposure and OLE outcomes.