Environmental Conditions Associated With Youth Delinquency Events: A Temporal, Meteorological, and Contextual Perspective

2021 ◽  
pp. 001391652110605
Author(s):  
Alexander Trinidad ◽  
César San Juan ◽  
Laura Vozmediano

Research on youth delinquency has been essential for gaining a deeper understanding of the etiology of delinquent behavior. Studies considering the environmental perspective have increased during the last decade, but relatively little attention has been paid to temporal patterns and weather conditions. The present study explores the seasonality of youth delinquency as well as the association between violent and non-violent youth offenses and temperature, rainfall, level of darkness, type of day, type of place, and companionship, using data gathered by the police along with data obtained from official weather agencies. To this end, we conducted ANOVA and contingency table analyses. Seasonality was found for non-violent crimes. Companionship, semi-public, and public places were all associated with a higher likelihood of non-violent crime, while darkness and public holidays raise the odds of violent crime to happen. No direct association was found between temperature and type of crime.

2021 ◽  
Vol 13 (13) ◽  
pp. 2433
Author(s):  
Shu Yang ◽  
Fengchao Peng ◽  
Sibylle von Löwis ◽  
Guðrún Nína Petersen ◽  
David Christian Finger

Doppler lidars are used worldwide for wind monitoring and recently also for the detection of aerosols. Automatic algorithms that classify the lidar signals retrieved from lidar measurements are very useful for the users. In this study, we explore the value of machine learning to classify backscattered signals from Doppler lidars using data from Iceland. We combined supervised and unsupervised machine learning algorithms with conventional lidar data processing methods and trained two models to filter noise signals and classify Doppler lidar observations into different classes, including clouds, aerosols and rain. The results reveal a high accuracy for noise identification and aerosols and clouds classification. However, precipitation detection is underestimated. The method was tested on data sets from two instruments during different weather conditions, including three dust storms during the summer of 2019. Our results reveal that this method can provide an efficient, accurate and real-time classification of lidar measurements. Accordingly, we conclude that machine learning can open new opportunities for lidar data end-users, such as aviation safety operators, to monitor dust in the vicinity of airports.


2021 ◽  
pp. 107780122199878
Author(s):  
Rebecca A. Lennox

Women routinely practise taxing safety strategies in public, such as avoiding unlit spaces after dark. To date, scholars have understood these behaviors as means by which women bolster their physical safety in public. My in-depth interviews with women in Greater Vancouver, British Columbia suggest that, much less than reliably enhancing women’s safety, safety work often exacerbates women’s fear of violent crime and unreliably mitigates their exposure to violence. I thus interrogate the protective function of gendered safekeeping and reconceptualize women’s safety work as virtue maintenance work, theorizing that women practice risk-management in public places to attain the ontological security associated with evading subjectivities of gendered imprudence.


Author(s):  
Michael Welner ◽  
Kate Y. O’Malley ◽  
James Gonidakis ◽  
Samantha Blair

In violent crime cases, aggravating factors in United States criminal codes, such as “heinous,” “atrocious,” or “depraved,” are used to distinguish elements of the crime warranting more severe sentencing. These aggravating terms are vaguely defined and applied arbitrarily in violent cases. This paper details the development of a 25 item Depravity Standard to operationalize an evidence-based approach to distinguishing the worst of violent crimes. The items were applied to 393 detailed case files drawn from several American jurisdictions to develop and refine the item definitions, determine interrater reliability, and mine for the frequency of each item’s occurrence. This information was combined with 1,590 participant responses ranking the relative depravity of each item to develop a straightforward scoring system for measuring depravity in violent cases. The Depravity Standard guide can seamlessly be applied to identify the worst violent crimes, and provide support for those cases that may deserve leniency or early-release.


Author(s):  
Patricia A. Melton

Sexual assault is a violent crime that traumatizes individual victims and endangers entire communities. Every victim of sexual assault deserves an opportunity for justice and access to the resources they need to recover from this trauma. In addition, many perpetrators of sexual assaults are serial offenders who also commit other violent crimes, including armed robberies, aggravated assaults, burglary, domestic violence, and homicides, against strangers and acquaintances. Criminal justice agencies have the power to create a strategic, sustainable plan for an improved response to sexual assault that aligns with current best practices and national recommendations. In this document, we define an “improved response” as an approach that supports effective investigation and prosecution of sexual assault cases, holds perpetrators accountable, and promotes healing and recovery for victims of sexual assault. This guide will help prosecutor and law enforcement agencies create a process with milestones, goals, and suggested actions, all designed to support a successful and sustainable approach for addressing sexual assault cases. Improving the criminal justice system’s response to sexual assault ultimately improves public safety and promotes trust between criminal justice agencies and the communities they serve.


JURNAL BELO ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 57-73
Author(s):  
Denny Latumaerissa

Essentially violent crime can occur wherever, anytime, and can be done by anyone without any distinction sex. That is guilty can male or female. The reality that occurs suggests that female also often perpetrated a violent crimes. Such as happened in the city of Ambon, which according to the data from Polresta  P.Ambon and P. P lease, suggests that from 2017 until 2019, there are 14 ( fourteen ) violence made by women on jurisdiction. That has been a problem in writing this is what has been factor-factor cause violence carried out by women in the city ambon. Factors influencing the so that a woman committed violence in the city of Ambon is the family, the motivation, / sexual disorder of sexual perversion, and the role of the victim


2020 ◽  
pp. 0044118X2090875
Author(s):  
Melissa S. Jones ◽  
Hayley Pierce

Adverse childhood experiences (ACEs) have been identified as a key risk factor for a variety of negative health, psychiatric, and behavioral outcomes across the life course. Although recent research has begun to consider the role of ACEs in criminogenic behaviors among youth, few studies to date have assessed the association between early exposure to ACEs and delinquent behavior among nonincarcerated youth. Using data from the Fragile Families and Child Wellbeing Study (FFCW; n = 3,402) and a life course theoretical framework, this study aims to address this gap in the literature by examining the relationships between individual, cumulative, and clustering of ACEs and delinquency in the lives of youth. The results of our empirical study indicate that individual, cumulative, and clustering of ACEs by the age of 5 years are associated with youth delinquent behavior. Based on our results, sociologists and criminologists should critically consider the role of ACEs in understanding youth delinquency.


2020 ◽  
Vol 101 (5) ◽  
pp. 1289-1301
Author(s):  
Emma G Longden ◽  
Simon H Elwen ◽  
Barry McGovern ◽  
Bridget S James ◽  
Clare B Embling ◽  
...  

Abstract Robust abundance estimates of wild animal populations are needed to inform management policies and are often obtained through mark–recapture (MR) studies. Visual methods are commonly used, which limits data collection to daylight hours and good weather conditions. Passive acoustic monitoring offers an alternative, particularly if acoustic cues are naturally produced and individually distinctive. Here we investigate the potential of using individually distinctive signature whistles in a MR framework and evaluate different components of study design. We analyzed signature whistles of common bottlenose dolphins, Tursiops truncatus, using data collected from static acoustic monitoring devices deployed in Walvis Bay, Namibia. Signature whistle types (SWTs) were identified using a bout analysis approach (SIGnature IDentification [SIGID]—Janik et al. 2013). We investigated spatial variation in capture by comparing 21 synchronized recording days across four sites, and temporal variation from 125 recording days at one high-use site (Aphrodite Beach). Despite dolphin vocalizations (i.e., echolocation clicks) being detected at each site, SWTs were not detected at all sites and there was high variability in capture rates among sites where SWTs were detected (range 0–21 SWTs detected). At Aphrodite Beach, 53 SWTs were captured over 6 months and discovery curves showed an initial increase in newly detected SWTs, approaching asymptote during the fourth month. A Huggins closed capture model constructed from SWT capture histories at Aphrodite Beach estimated a population of 54–68 individuals from acoustic detection, which overlaps with the known population size (54–76 individuals—Elwen et al. 2019). This study demonstrates the potential power of using signature whistles as proxies for individual occurrence and in MR abundance estimation, but also highlights challenges in using this approach.


1993 ◽  
Vol 17 ◽  
pp. 72-76 ◽  
Author(s):  
Jiancheng Shi ◽  
Jeff Dozier

Climatological and hydrological investigations in mountainous regions frequently require delineation of the areas covered by snow and glacial ice. Active microwave sensors can discriminate snow and glacier from other targets, are effective under all weather conditions, and have a spatial resolution compatible with the topographic variation in alpine regions. Using data acquired with the NASA AIRSAR, which operates at three frequencies and four combinations of polarization, we examine the usage of synthetic aperture radar (SAR) to map snow- and glacier-covered areas. In order to assess the available SARs that operate from satellites, we analyze single-frequency, single-polarization data, and we compare our results with images from the Landsat Thematic Mapper obtained under clear conditions only a few days after the SAR flight. Single polarization, C-band (5.3 GHz) SAR data can discriminate between areas covered by wet snow from those that are ice-free, but do not easily separate glacier ice from snow and rock. L-band SAR (1.25 GHz) data cannot discriminate between snow and glacier ice. The accuracy (74%) of SAR is high enough to justify its use as the data source in areas that are too cloud-covered to obtain reliable data from the thematic mapper.


2020 ◽  
pp. 7-16
Author(s):  
V. A. Avdeev ◽  
O. A. Avdeeva

The subject of the study is mercenary-violent crime, taking into account its condition, structure and dynamics. Particular attention is paid to the implementation of the Russian criminal law policy in the field of combating crime of mercenary-violent orientation, taking into account the requirements of international law. The purpose of the study is a modern analysis of the understanding of mercenary-violent crime, the content and types of crimes of this orientation. Attention is focused on the criminological analysis of mercenary-violent crime, prevention and prevention in the context of improving measures of criminal law, criminological and organizational and practical counteraction. The methodological basis for the study of measures to combat mercenary-violent crime is formed by a set of general scientific and private scientific methods that have led to an integrated approach to the study of legal policy to counteract mercenary-violent crime, taking into account the ongoing socio-economic and political-legal transformations. The main results of the study reveal the process of counteracting mercenary-violent crime in the context of globalization, measures to increase the effectiveness of the implementation of the mechanism of criminal law regulation of public relations related to countering crimes of mercenary-violent orientation. Conclusions are formulated regarding the methodological and organizational-practical aspects of the legal impact on persons who have committed self-seeking and violent assaults. The novelty of the research topic is the formulation of the problem associated with the disclosure of the causes and conditions of mercenary-violent crime as a socially negative phenomenon in modern conditions; the definition of key areas of legal policy in the field of combating crimes of mercenary-violent orientation, determined by socio-economic and political transformations. In order to achieve the stated goal of the study, special legal methods of cognition were used that facilitate the analysis of the legal regulation of legal responsibility for mercenary-violent crimes. The result of the study is the disclosure of the legal nature of mercenary-violent crime, its essential properties and signs as a social negative phenomenon; identification of features of measures to counter self-serving and violent orientation; establishing trends in legal regulation of crimes of mercenary-violent orientation; determination of the specifics of the mechanism of legal regulation of legal liability for mercenary-violent crimes. An opinion was expressed that there was no categorical legal assessment of the concept of mercenary-violent crimes in domestic legislation, which predetermined the recognition of criminal legal measures as a strategic resource for combating mercenary-violent crime. The conclusions are formulated on the factors inspiring the legislative regulation of the corpus delicti of violent orientation, and the specifics of the implementation of punishment and other measures of a criminal law nature.


2017 ◽  
Vol 12 (3) ◽  
pp. 515-525 ◽  
Author(s):  
Hiroyuki Sato ◽  
◽  
Takashi Sasaki ◽  
Masafumi Kondo ◽  
Toshihide Kobori ◽  
...  

This paper presents a basic investigation of the displacement monitoring of dams following earthquakes using data obtained from an SAR (Synthetic Aperture Radar) satellite with the goal of quickly assessing the damage status. As an SAR satellite does not require ground-based measurement instruments, it can carry out displacement monitoring of an entire dam body surface and can acquire data without being affected by weather conditions. This means that SAR satellites can be relied upon to contribute to displacement monitoring of dams in the aftermath of earthquakes as well as during normal operations. In this paper, we conduct a basic study for the displacement monitoring of a dam following an earthquake using data from an SAR satellite, and we report the results of a basic investigation of the assessment of the damage status of a dam following the 2016 Kumamoto Earthquake.


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