Effective sanction avoidance in drug trafficking: The construction and validation of the restrictive deterrence utility scale using a sample of female drug offenders.

Drug traffickers perform many crime strategies to avoid legal sanctions. The use of any crime strategy is mainly for reducing the risk of arrest, which has been the focus of research on restrictive deterrence. This study aims to develop a Restrictive Deterrence Utility Scale (RDUS) to measure the effectiveness of crime strategies used in drug trafficking. Survey data were collected from August to October 2021, including 294 female drug offenders aged between 21 and 61 years serving sentences with a median length of around 10 years in a Southern city in Mainland China. Exploratory and confirmatory factor analysis was conducted for scale investigation. Three valid and reliable factors for the RDUS were found: anomaly avoidance, reduction of exposure time, and the use of weapons and tools. Composite reliability, convergent validity, discriminant validity of three factors were confirmed with Cronbach α being higher than 0.9, that being higher than correspondent Average Variance Extracted which all being higher than 0.5 and higher than correspondent factor correlation. The RDUS offers a helpful method for assessing the motivation for drug traffickers to persist in drug crime and for formulating appropriate interventions for drug prohibition.

Memory detection with concurrent behavioral, autonomic, and neuroimaging measures in a mock crime.

Concealed information test (CIT) has been utilized for long to perform single measurements. The combination of multiple measures outperforms single measures because of the diverse cognitive processes they reflect and the reduction in random errors facilitated by multiple measures. To further explore the performance of the CIT with multiple measurements, 57 participants were recruited and randomly assigned into guilty and innocent groups. Subsequently, simultaneously recorded reaction time (RT), skin conductance responses (SCRs), heart rate (HR), and neuroimaging data were collected from functional near-infrared spectroscopy (fNIRS) to detect participants' concealed information in a standard CIT. The results demonstrated that all indicators including RT (area under the curve (AUC) = 0.87), SCRs (AUC = 0.79), HR (AUC = 0.78), and fNIRS (channel 8, AUC = 0.85) could differentiate guilty and innocent groups. Importantly, the use of multiple indicators achieved higher detection efficiency (AUC = 0.96) compared to the use of any single indicator. These results illustrate the effectiveness and feasibility of integrating multiple indicators for concealed information detection in CIT.

Biomechanics of stabbing knife attack for trauma surgeons in Korea: a narrative review.

The aim of this paper was to review the biomechanics of knife injuries, including those that occur during stabbing rampages. In knife stab attacks, axial force and energy were found to be 1,885 N and 69 J, respectively. The mean velocity of a stabbing motion has been reported to range from 5 to 10 m/sec, with knife motions occurring between 0.62 and 1.07 seconds. This speed appears to surpass the defensive capabilities of unarmed, ordinarily trained law enforcement officers. Therefore, it is advisable to maintain a minimum distance of more than an arm's length from an individual visibly armed with a knife. In training for knife defense, particularly in preparation for close-quarter knife attacks, this timing should be kept in mind. Self-inflicted stab wounds exhibited a higher proportion of wounds to the neck and abdomen than assault wounds. Injuries from assault wounds presented a higher Injury Severity Score, but more procedures were performed on self-inflicted stab wounds. Wound characteristics are not different between nonsuicidal self-injury and suicidal self-wrist cutting injuries. Consequently, trauma surgeons cannot determine a patient's suicidal intent based solely on the characteristics of the wound. In Korea, percent of usage of lethal weapon is increasing. In violence as well as murders, the most frequently used weapon is knife. In the crimes using knife, 4.8% of victims are killed. Therefore, the provision of prehospital care by an emergency medical technician is crucial.

Changes in interpersonal violence and utilization of trauma recovery services at an urban trauma center in the United States during the COVID-19 pandemic: a retrospective, comparative study.

Purpose: This study investigated changes in interpersonal violence and utilization of trauma recovery services during the COVID-19 pandemic. At an urban level I trauma center, trauma recovery services (TRS) provide education, counseling, peer support, and coordination of rehabilitation and recovery to address social and mental health needs. The COVID-19 pandemic prompted considerable changes in hospital services and increases in interpersonal victimization. Methods: A retrospective analysis was conducted between September 6, 2018 and December 20, 2020 for 1,908 victim-of-crime patients, including 574 victims of interpersonal violence. Outcomes included length of stay associated with initial TRS presentation, number of subsequent emergency department visits, number of outpatient appointments, and utilization of specific specialties within the year following the initial traumatic event. Results: Patients were primarily female (59.4%), single (80.1%), non-Hispanic (86.7%), and Black (59.2%). The mean age was 33.0 years, and 247 patients (49.2%) presented due to physical assault, 132 (26.3%) due to gunshot wounds, and 76 (15.1%) due to sexual assault. The perpetrators were primarily partners (27.9%) or strangers (23.3%). During the study period, 266 patients (mean, 14.9 patients per month) presented before the declaration of COVID-19 as a national emergency on March 13, 2020, while 236 patients (mean, 25.9 patients per month) presented afterward, representing a 74.6% increase in victim-of-crime patients treated. Interactions with TRS decreased during the COVID-19 period, with an average of 3.0 interactions per patient before COVID-19 versus 1.9 after emergency declaration (P<0.01). Similarly, reductions in length of stay were noted; the pre-COVID-19 average was 3.6 days, compared to 2.1 days post-COVID-19 (P=0.01). Conclusions: While interpersonal violence increased, TRS interactions decreased during the COVID-19 pandemic, reflecting interruption of services, COVID-19 precautions, and postponement/cancellation of elective visits. Future direction of hospital policy to enable resource and service delivery to this population, despite internal and external challenges, appears warranted.

Striving for Global Consensus: A Systematic Review of Social Return on Investment Applied to Physical Activity and Sport.

BACKGROUND: Physical activity and sport (PAS) have been related to health and social benefits, but their monetary value remains unclear. This systematic review on the social return on investment of PAS aimed to find what are the social outcomes measured in previous PAS literature and how are these measured and valued. METHODS: A systematic search was conducted on WoS, PubMed, and EconLit. Articles in English, measuring the social value of any type of PAS in monetary terms and utilizing a social return on investment framework, were included. Risk of bias was evaluated using the Drummond checklist. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. RESULTS: Fifty-five documents (2010-2022), from all continents except America, were included; only 8 were published in peer-reviewed journals, whereas 47 were reports. Most studies evaluated the benefits of specific programs, and 6 measured the engagement in PAS at the population level based on national or community surveys. The social outcomes identified were health (94.5%), crime (50.9%), education (83.6%), subjective well-being (89.1%), social capital (60%), and other (3.6%-23.6%). The valuation methods included willingness to pay, well-being valuation, the cost of an activity that could result in the same outcome, and cost databases associating outcomes with a monetary value. CONCLUSIONS: This study updates a previous review and widens the scope by answering the question of how social outcomes are measured and valued in previous PAS literature. Given the heterogeneity found in the application of the method, this review will inform a Delphi study to reach a Global Consensus Statement on the measurement of social value and PAS.

Unmasking the Pandemic's Dark Side: Exploring the Roles of Stress, Emotions, and Alcohol Use in Violent Behavior Across Six Countries.

We use international survey data recently collected among adults in six countries (Ukraine, Guatemala, Pakistan, the Netherlands, Denmark, and the United States) to examine the global variations in interpersonal violent behavior during the COVID-19 pandemic. We find that pandemic-related stress is significantly associated with violent behavior in most countries. Depression emerges as a significant predictor of violence across all countries and as a mediator between pandemic stress and violent behavior in multipls contexts. On the other hand, negative affect and alcohol use predict violent behavior only in non-Western contexts. We provide policy implications focused on prevention and reduction of violence cross-nationally during public health crises.

Association of Involuntary Displacement of People Experiencing Homelessness and Crime in Denver, CO: A Spatiotemporal Analysis.

In 2022, approximately 580,000 people experienced homelessness in the United States. In response, many cities have implemented "camping ban" policies enforced by involuntary displacement of homeless encampments. Displacement has been cited as a strategy to protect public health and safety. However, there is mixed evidence that displacement is effective in reducing crime, while it is associated with other adverse health outcomes. To evaluate the neighborhood-level association between displacement and crime, we performed a retrospective (November 2019 to July 2023) pre-post spatiotemporal analysis using administrative data from Denver, CO. We used the Knox test statistic to detect excess clustering and change in total crime, as well as crime stratified by the National Incident-Based Reporting System (NIBRS) category, within spatiotemporal proximity to displacement events. We found that, on average, clustering of crime is high both before and after displacement. Within a 0.25-mile radius, displacement is associated with a statistically significant but modest decrease in crime, between - 9.3% within 7 days (p < 0.001) and - 3.9% within 21 days (p = 0.002). We found no consistent change in composite crime at a 0.5- or 0.75-mile radius. Hyperlocal decreases were driven by significant decreases in public disorder and auto theft, while crimes against persons increased and displayed high clustering post-displacement. There were no changes in any other offense type. Involuntary displacement is not consistently associated with changes in clustering of crime and may exacerbate violence in nearby areas.

Predicting criminal offence in adolescents who exhibit antisocial behaviour: a machine learning study using data from a large randomised controlled trial of multisystemic therapy.

INTRODUCTION: Accurate prediction of short-term offending in young people exhibiting antisocial behaviour could support targeted interventions. Here we develop a set of machine learning (ML) models that predict offending status with good accuracy; furthermore, we show interpretable ML analyses can complement models to inform clinical decision-making. METHODS: This study included 679 individuals aged 11-17 years who displayed moderate-to-severe antisocial behaviour, from a controlled trial of Multisystemic-therapy in England. The outcome was any criminal offence in the 18 months after study baseline. Four types of ML algorithms were trained: logistic regression, elastic net regression, random forest, and gradient boosting machine (GBM). Prediction models were developed (1) using predictors readily available to clinicians (e.g. sociodemographics, previous convictions), and (2) with additional information (e.g. parenting). Model agnostic feature importance values were calculated and the most important predictors identified. Nested cross-validation with 100 iterations of random data splits and 10-fold cross-validation within each iteration was employed, and the average predictive performance was reported. RESULTS: Among the ML models using readily available predictors, the GBM is the strongest model (AUC 0.85, 95% CI 0.85-0.86); the other models have average AUCs of 0.82. This performance was better than using only the total number of previous offences as the predictor (0.67, 0.66-0.68), and the model simply assuming past offending status as the prediction (0.81, 0.80-0.81). Additional predictors slightly increased the performance of logistic regression and random forest models but decreased the performance of elastic net regression and gradient boosting machine-based models. CONCLUSION: The potential utility of ML approaches for accurately predicting criminal offences in high-risk youth is demonstrated. Interpretable ML-based predictive models could be utilised in youth services or research to help develop and deliver effective interventions.

Predicting Short Time-to-Crime Guns: a Machine Learning Analysis of California Transaction Records (2010-2021).

Gun-related crime continues to be an urgent public health and safety problem in cities across the US. A key question is: how are firearms diverted from the legal retail market into the hands of gun offenders? With close to 8 million legal firearm transaction records in California (2010-2020) linked to over 380,000 records of recovered crime guns (2010-2021), we employ supervised machine learning to predict which firearms are used in crimes shortly after purchase. Specifically, using random forest (RF) with stratified under-sampling, we predict any crime gun recovery within a year (0.2% of transactions) and violent crime gun recovery within a year (0.03% of transactions). We also identify the purchaser, firearm, and dealer characteristics most predictive of this short time-to-crime gun recovery using SHapley Additive exPlanations and mean decrease in accuracy variable importance measures. Overall, our models show good discrimination, and we are able to identify firearms at extreme risk for diversion into criminal hands. The test set AUC is 0.85 for both models. For the model predicting any recovery, a default threshold of 0.50 results in a sensitivity of 0.63 and a specificity of 0.88. Among transactions identified as extremely risky, e.g., transactions with a score of 0.98 and above, 74% (35/47 in the test data) are recovered within a year. The most important predictive features include purchaser age and caliber size. This study suggests the potential utility of transaction records combined with machine learning to identify firearms at the highest risk for diversion and criminal use soon after purchase.

Understanding the Intersection Between Racial Segregation, Social Isolation and Safety Perceptions on Health for an Economically Disadvantaged Urban Community.

Safety concerns continue to be challenging amid racially segregated communities of urban concentrated disadvantage. Although contributing factors to crime in such neighborhoods have been described, there is a lack of knowledge regarding how social isolation and perceptions of safety impact community health. This qualitative study explored how minoritized residents (N = 23) from an urban community of economic disadvantage perceived the influence of environmental and residential conditions on their health. Use of the grounded theory method produced conceptual insights into the process of how safety concerns led to fear, which created stress and prevented residents from using outdoor public spaces. Additionally, results indicated how the cyclical nature of such physical withdrawal reinforced social isolation and stigma by those outside the community, ultimately affecting residents' ability to maintain healthy living. Implications include implementing a multi-pronged public health policy that addresses safety perceptions, crime exposure, and social inclusion to improve health conditions in low-income communities.

Risk factors for violent crime in patients with schizophrenia: a retrospective study.

Introduction: The relationship between schizophrenia and violence is heterogeneous and complex. The aim of this study was to explore the characteristics and the potential risk factors for violence crime in patients with schizophrenia. Methodology: We conducted a retrospective case-control study at the Judicial Psychiatric Identification Unit of Xiangya Second Hospital of Central South University from January 1, 2013 to December 31, 2016. The case group included violent offenders diagnosed with schizophrenia, while the control group comprised non-violent individuals with the same diagnosis. Results: There were 308 individuals in the violent group [subdivided into the homicide group (n = 155) and the intentional injury group (n = 153)] and 139 individuals in the non-violent group. A risk model showed that a history of violence (odds ratio (OR) = 2.88, 95% CI [1.79-4.64]), persecutory delusions (OR = 2.57, 95% CI [1.63-4.06]), regular treatment in the previous four weeks (OR = 0.29, 95% CI [0.16-0.51]) and insight (OR = 0.30, 95% CI [0.14-0.62]) were independently associated with violence. Conclusion: This study provided useful clinical information to identify risk factors for violence and develop better strategic programs to manage violence in patients with schizophrenia.

Exposing illegal hunting and wildlife depletion in the world's largest tropical country through social media data.

Globally, illegal sport hunting can threaten prey populations when unregulated. Due to its covert nature, illegal sport hunting poses challenges for data collection, hindering efforts to understand the full extent of its impacts. We gathered social media data to analyze patterns of illegal sport hunting and wildlife depletion across Brazil. We collected data for 2 years (2018-2020) across 5 Facebook groups containing posts depicting pictures of illegal sport hunting events of native fauna. We described and mapped these hunting events by detailing the number of hunters involved, the number of species, the mean body mass of individuals, and the number and biomass of individuals hunted per unit area, stratified by Brazilian biome. We also examined the effects of defaunation on hunting yield and composition via regression models, rank-abundance curves, and spatial interpolation. We detected 2046 illegal sport hunting posts portraying the hunting of 4658 animals (∼29 t of undressed meat) across all 27 states and 6 natural biomes of Brazil. Of 157 native species targeted by hunters, 19 are currently threatened with extinction. We estimated that 1414 hunters extracted 3251 kg/million km2. Some areas exhibited more pronounced wildlife depletion, in particular the Atlantic Forest and Caatinga biomes. In these areas, there was a shift from large mammals and reptiles to small birds as the main targeted taxa, and biomass extracted per hunting event and mean body mass across all taxonomic groups were lower than in other areas. Our results highlight that illegal sport hunting adds to the pressures of subsistence hunting and the wild meat trade on Brazil's wildlife populations. Enhanced surveillance efforts are needed to reduce illegal sport hunting levels and to develop well-managed sustainable sport hunting programs. These can support wildlife conservation and offer incentives for local communities to oversee designated sport hunting areas.

Exposición de la caza ilegal y la reducción de fauna en el país tropical más grande del mundo por medio de datos de las redes sociales Resumen En todo el mundo, la caza recreativa ilegal puede amenazar a las poblaciones de presas cuando no está regulada. Debido a su naturaleza encubierta, la caza recreativa ilegal plantea dificultades para la recopilación de datos, lo que dificulta la comprensión de su impacto. Recopilamos datos de redes sociales para analizar los patrones de caza recreativa ilegal y agotamiento de la vida silvestre en todo Brasil. Recopilamos datos durante 2 años (2018­2020) a través de cinco grupos de Facebook que contenían publicaciones que mostraban imágenes de eventos de caza recreativa ilegal de fauna nativa. Describimos y mapeamos estos eventos de caza detallando el número de cazadores involucrados, el número de especies, la masa corporal media de los individuos y el número y la biomasa de los individuos cazados por unidad de área, estratificados por bioma brasileño. También examinamos los efectos de la deforestación en el rendimiento y la composición de la caza mediante modelos de regresión, curvas de abundancia e interpolación espacial. Detectamos 2,046 puestos de caza recreativa ilegal que mostraban la caza de 4,658 animales (∼29 t de carne sin desollar) en los 27 estados y 6 biomas naturales de Brasil. De las 157 especies autóctonas objetivo de los cazadores, 18 están actualmente en peligro de extinción. Se calcula que 1,414 cazadores extrajeron 3,251 kg/millón de km2. Algunas zonas mostraron una defaunación más pronunciada, en particular los biomas de la Mata Atlántica y la Caatinga. En estas áreas, se produjo un cambio de grandes mamíferos y reptiles a pequeñas aves como principales taxones objetivo, y la biomasa extraída por evento de caza y la masa corporal media en todos los grupos taxonómicos fueron menores que en otras áreas. Nuestros resultados ponen de manifiesto que la caza recreativa ilegal se suma a las presiones de la caza de subsistencia y el comercio de carne salvaje sobre las poblaciones de fauna de Brasil. Es necesario intensificar los esfuerzos de vigilancia para reducir los niveles de caza recreativa ilegal y desarrollar programas de caza recreativa sostenibles y bien gestionados. Estos programas pueden contribuir a la conservación de la fauna y ofrecer incentivos a las comunidades locales para que supervisen las zonas designadas para la caza recreativa.

Short report: Prison-reported rates of autism in female prisons in England.

LAY ABSTRACT: What is already known about the topic? Autistic people are reported to offend at lower or comparable rates to non-autistic people. However, autism is overrepresented within male prisons due to a number of suggested reasons including an increased chance of being caught and a lack of autistic sensitive interventions which lead to longer stays in prison. To the authors' knowledge, no papers currently exist focussing on autistic females in prison. What does this paper add? To the authors' knowledge, this is the first piece of research to solely include autistic females in prison settings. This research provides an estimate of how many autistic people are in female prisons. All 12 female prisons in England were contacted. Data provided indicate a prison-reported female autism rate of 4.78%. This prison-reported female autism rate is 13.7 times higher than the prevalence of autistic females in the general population. Implications for practice research or policy? Autism is overrepresented in female prisons; however, to the authors' knowledge no current research exists on this group to understand their needs or experience. Autistic females often have differing requirements to males and the lack of research highlights the need for future research to investigate areas such as factors which increase the risk of offending, offences typically committed and the female autistic experience of the Criminal Justice System.

Rapid Analytical Method for Quantification of Gamma-Hydroxybutyrate (GHB) in Hair by UPLC-MS/MS.

Gamma-hydroxybutyrate (GHB), an endogenous compound related to the neurotransmitter gamma-aminobutyric acid (GABA), is used as a therapeutic and recreational drug and as a "weapon" in drug-facilitated crimes. The very short window of detection of GHB in conventional matrices (blood and urine) makes necessary the use of alternative matrices like hair. Hair has a long window of detection and the possibility to perform segmental analysis, which makes it very useful for proving GHB intake. In the present work, a method for quantification of GHB in hair was developed and validated. Hair (10 mg) was washed twice with dichloromethane and then incubated at room temperature with Milli-Q water in an ultrasound bath for 30 min. Analysis was performed by UPLC-MS/MS using a CORTECS UPLC HILIC (1.6 µm), 2.1 × 100-mm column, and a gradient with acetonitrile and ammonium acetate (10 mM) at pH 6.0, with a total run-time of 10 min. For detection, a triple quadrupole mass spectrometer in ESI negative mode was used. The method was validated, following the criteria established in the "AAFS Standard Practices for Method Validation in Forensic Toxicology" guideline, obtaining satisfactory results for linearity (0.5-50 ng/mg), accuracy (95.0%-103.2%), imprecision (< 10.2%), limit of detection (0.1 ng/mg) and quantification (0.5 ng/mg), exogenous selectivity (no interferences), matrix effect (less than -44.2%), extraction efficiency (> 86.4%), process efficiency (> 46.1%), and autosampler stability (< 4.3%). The method was used for the analysis of 26 authentic hair samples, 25 from non-drug users, obtaining values between < LOQ and 6.25 ng/mg of endogenous GHB and 1 from a former GHB chronic user to prove abstinence.

Forensic entomology in homicide cases: study of a corpse found inside a buried vehicle.

Forensic entomology plays a crucial role in death investigations, particularly in estimating the postmortem interval (PMI). This study presents a forensic entomology case involving a corpse found in a buried utility vehicle. The victim was in an advanced state of decomposition, with autopsy findings revealing gunshot wounds. Cadaveric fauna was collected at the scene and during the autopsy. The analysis revealed a diverse insect community, with predominance of Compsomyiops fulvicrura and Piophila casei. The time of development of species like Dermestes maculatus and Necrobia rufipes was used to estimate the minimum PMI. The presence and low abundance of Calliphora vicina, a species preferring lower temperatures, shed light on the seasonal conditions at the time of death and suggested possible body concealment shortly after death. This research is the first to report insects as evidence in a corpse found in a buried vehicle and contributes to the body of knowledge in forensic entomology. The study also suggests that the use of entomological evidence can provide additional information about the season in which the body was concealed, making it a valuable tool in death investigation and crime scene reconstruction. Finally, it emphasizes the need for proper sampling, expert identification, and close collaboration between forensic entomologists and pathologists.

Differences in toxicology reports and hospital emergency care for patients suspected of experiencing drug-facilitated crimes: an analysis according to gender. / Atención de pacientes con sospecha de sumisión química en un servicio de urgencias hospitalario y resultados del análisis toxicológico: diferencias según el sexo.

OBJECTIVE: To analyze gender-related differences in patient and care characteristics and in toxicology findings in suspected cases of drug facilitated crime (DFC). METHODS: Observational cross-sectional study of all patients in suspected DFC cases attended in the emergency department of Hospital Clínico San Carlos and of their blood or urine samples analyzed by the National institute of Toxicology and Forensics in Madrid between March 1, 2015, and March 1, 2023. We analyzed variables from patient records and the toxicology reports according to gender. RESULTS: A total of 514 suspected DFC episodes were studied; 101 (19.6%) were proactive crimes, 61 (11.9%) opportunistic, and 352 (68.5%) mixed. The median (interquartile range) age was 25 years (21-34 years), and 370 (72%) were women. Eighty-three percent of the patients had amnesia, and 48% of the cases involved sexual assault or robbery. Toxicology identified substances in 78% of the patients (alcohol, 53%; street drugs, 37%; and/or psychopharmaceuticals or opioids, 23%). Independent variables associated with female gender in the multivariate analysis, according to adjusted odds ratio (aORs) were age less than 25 years (aOR, 2.73; 95% CI, 1.75 4.24; P < .001); physician-referred emergency (aOR, 1.77; 95% CI, 1.12-2.80; P = .03); robbery (aOR, 0.25; 95% CI, 0.15-0.41; P < .001); alcohol-positive test result (aOR, 1.91; 95% CI, 1.21-3.00; P = .01); and a drug-positive result (aOR, 0.43; 95% CI, 0.28-0.64; P < .001). Police and a forensic physician intervened in 13% of the cases, and in such cases the victim was more likely to be female (aOR, 3.97; 95% CI, 1.41-11.13; P < .001). Toxicology identified the presence of an unknown substance in 39%, and a woman was less likely to be involved in such cases (aOR, 0.43; 95% CI, 0.28-0.67; P < .001). CONCLUSIONS: The majority of victims of DFCs were female, and the crimes were mixed, involving involve alcohol, psychopharmaceuticals or street drugs. Female victims were more likely to be under the age of 25 years, be referred to the emergency service by a physician, be attended by a forensic physician for sexual assault, and have an alcoholpositive toxicology report. Women were also less likely to report a robbery or have a toxicology report identifying drugs or an unknown substance.

OBJETIVO: Analizar las diferencias en las características de los pacientes atendidos por sospecha de sumisión química (SQ) y en los resultados del análisis toxicológico (AT) en función del sexo. METODO: Estudio observacional transversal retrospectivo que incluyó a todos los casos con SQ atendidos en el servicio de urgencias del Hospital Clínico San Carlos y las muestras (sangre o orina) para el AT en el Instituto Nacional de Toxicología y Ciencias Forenses de Madrid entre el 1 de marzo de 2015 y el 1 de marzo de 2023. Se analizan variables de la historia clínica y del AT según el sexo. RESULTADOS: Se incluyeron 514 episodios con sospecha de SQ [101 (19,6%) proactiva, 61 (11,9%) oportunista y 352 (68,5%) mixta] en pacientes con una mediana de 25 años (RIC: 21-34), 370 (72%) de sexo femenino. El 83% presentó amnesia y el 48% asoció agresión sexual o robo. En el 78% se identificó alguna sustancia en el AT (53% alcohol etílico, 37% drogas y/o 23% psicofármaco u opiáceos). En el análisis multivariado las variables que se asociaron de manera independiente con el sexo femenino fueron la edad menor de 25 años con ORa de 2,73 (IC 95%: 1,75-4,24; p < 0,001), con médico deriva a urgencias con ORa de 1,77 (IC 95%: 1,12-2,80; p = 0,03), delito de robo con de ORa 0,25 (IC 95%: 0,15-0,41; p < 0,001), alcohol etílico en el AT con ORa 1,91 (IC 95%: 1,21-3,00; p = 0,01) y alguna droga en el AT con ORa 0,43 (IC 95%: 0,28-0,64; p < 0,001). En el 13% de casos hubo intervención policial y médico-forense y fue más probable que fuera a una mujer, con ORa 3,97 (IC 95%: 1,41-11,13; p < 0,001). En el 39% de AT se identificó alguna sustancia desconocida y fue menos probable que fuera mujer, con ORa de 0,43 (IC 95%: 0,28-0,67; p < 0,001). CONCLUSIONES: La mayoría de casos registrados fueron mujeres con sospecha de SQ mixta por alcohol, psicofármacos o drogas de abuso. Las mujeres presentaron mayor probabilidad de tener menos de 25 años, ser derivada a urgencias por un médico, de intervención médico-forense por agresión sexual y encontrar alcohol etílico en el AT.

The impact of weather anomalies on violence in the coastal mid-latitudes: a cross-national comparison.

Cross-national studies examining the relationship between weather and crime are rare. Reasons are manifold but include the differences in countries due to geographical, climatic, and seasonal variations. In contrast in this study we examine the causal impact of temperature and rainfall anomalies on violent crime in locations located in two comparable geographic zones: Khayelitsha (in South Africa) and Ipswich (in Australia). We use ANOVA and Tukey's tests to identify statistical meaningful differences (if any) in the impact of these weather anomalies on crime alongside the use of visualisations capturing the anomalous weather-violence relationship in these two contexts. Results show some similarities but also notable differences between locations which we attribute to their inherent socio-demographic differences which we expand upon. We conclude by highlighting the benefits of cross-national crime research, and motivate for its increased application in future research of this nature.

Effects of victim's body posture and attacker's gender on slashing attacks: a biomechanical study.

Objective: Sharp force injury has been and will remain to be a major cause of violent death; however, scientific evaluations on the impact of body posture of the victim and gender of the perpetrator on sharp force injury have been scarce. The purpose of this study was to evaluate the biomechanical characteristics found in individuals (male and female) when using a Chinese kitchen knife to slash the neck of a dummy while it was in the standing and supine positions. This work offers a solid basis for forensic identifications, criminal investigations, and court trials. Methods: A total of 12 male and 12 female college students participated in this study. Kinematic, kinetic, and surface electromyography (sEMG) data were evaluated when slashing the neck of a dummy while it was in the standing and supine positions using a Chinese kitchen knife. Results: When slashing the neck of a standing dummy, participants showed shorter contact time (19.5%) and slower shoulder velocities (30.9%) as well as higher hip velocity (26.0%) and increased root mean square (RMS) and integral electromyography (iEMG) for the anterior deltoid (51.3% and 51.2%, respectively) compared to those while the dummy was in the supine position (all p < 0.05), regardless of gender. When slashing a dummy's neck while it was in standing and supine positions, male participants showed higher shoulder, elbow, and wrist velocities (22.6%, 22.7%, and 24.4%, respectively) and higher slashing velocity (19.8%), slashing force (24.2%), and energy (46.2%) than female participants (all p < 0.05). In addition, male participants showed shorter contact time (17.8%), and the values of RMS and iEMG of the anterior deltoid, biceps brachii, extensor carpi radialis longus, and flexor carpi ulnaris were less than those of female participants (98.9%, 47.3%, 65.6%, and 33.4% for RMS and 115.1%, 59.4%, 80.1%, and 47.8% for iEMG, respectively). Conclusion: There was no difference in slashing speed, slashing force, and energy when using a Chinese kitchen knife to slash the dummy's neck while it was in different body postures (standing and supine), suggesting a similar level of injury severity. However, there were significant differences in slashing action patterns between the two body postures, with longer contact time, smaller hip velocity, greater shoulder velocity, and less muscle activation level of the deltoid exertion when slashing the dummy's neck in the supine position. Gender may have a greater effect on the severity of slashing, and the gender difference may be partly related to the body weight difference. The findings from this study may provide quantitative indicators and references for analyzing the motive behind the crime, as well as for case reconstruction, and for the court's conviction and sentencing processes.

A preliminary study on the stability of bare footprint linear measurements in four motion states.

In some crime scenes, there may be bare footprints. Analyzing and testing the linear measurements of bare footprints in crime scenes can play an important role in personal analysis and individual identification. However, the linear measurements of bare footprints may be influenced by different motion states, leading to changes in length and width or even significant deviations. Previous studies focused on the linear differences between static and dynamic footprints, and failed to take the speed factor into consideration. This paper studied the stability and change regularities of the linear measurements of bare footprints in four different motion states: standing, normal walking, fast walking and trotting. Dust footprints of the right feet were collected from 80 healthy young adults under these four motion states. Seven linear measurements were obtained for each footprint using the Reel method, totaling 2240 data sets. One-way repeated measures ANOVA was used to assess the measurement variations across the four states. The results showed that there were statistically significant variances in the length measurements (A1-A5) between the standing state and other motion states, whereas no statistically significant variances were observed between the three dynamic states. It was found that the mean values of the five length measurements (A1-A5) increased from static to dynamic state, and then gradually decreased slightly as the walking speed increased. Additionally, no significant differences were found in the two width measurements (MPJ Width and Calc Width) between the four motion states. As a preliminary study, this study can provide a reference for the analysis of bare footprints in different motion states extracted from crime scenes.