Behaviour-based dependency networks between places shape urban economic resilience.

Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing businesses, stores and amenities.

Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula.

Higher education plays a critical role in driving an innovative economy by equipping students with knowledge and skills demanded by the workforce. While researchers and practitioners have developed data systems to track detailed occupational skills, such as those established by the U.S.

Targeted recovery of male cells in a male and female same-cell mixture.

DNA mixture deconvolution in the forensic DNA community has been addressed in a variety of ways. "Front-end" methods that separate the cellular components of mixtures can provide a significant benefit over computational methods as there is no need to rely on models with inherent uncertainty to generate conclusions. Historically, cell separation methods have been investigated but have been largely ineffective due to high cost, unreliability, and the lack of proper instrumentation.

Location is a major barrier for transferring US fossil fuel employment to green jobs.

The green energy revolution may displace 1.7 million fossil fuel workers in the US but a Just Transition to emerging green industry jobs offers possibilities for re-employing these workers. Here, using 14 years of power plant data from the US Energy Information Administration, job transition data from the Census Bureau, as well as employment and skills data from the Bureau of Labor Statistics, we assess whether people employed in fossil fuel resource extraction today are co-located and have the transferable skills to switch to expected green jobs.

Gender responsivity in the assessment and treatment of offenders.

Risk assessment tools used to assess justice-involved women have been predominantly developed using male offenders, with validations for females having mixed results. Female-specific risk assessment tools are not well established, and validations are limited. In terms of treatment, either programmes in various jurisdictions have been developed specifically for females, or addendums are available to assist in the facilitation of programmes initially developed for male offenders.

Art and the science of generative AI.

Understanding shifts in creative work will help guide AI's impact on the media ecosystem.

The criminogenic profile of violent female offenders incarcerated in Western Australian prisons as per the Level of Service/Risk, Need, Responsivity (LS/RNR) and Violence Risk Scale (VRS).

Female offender risk assessment is predominantly based on criminogenic factors that predict reoffending in males. Research indicates there are criminogenic factors specific to female offenders, and certain factors linked to offending for both sexes have greater impact on female offenders. This paper extends current research using a Western Australian sample to determine whether findings are replicated with an Australian cohort.

Connecting higher education to workplace activities and earnings.

Higher education is a source of skill acquisition for many middle- and high-skilled jobs. But what specific skills do universities impart on students to prepare them for desirable careers? In this study, we analyze a large novel corpora of over one million syllabi from over eight hundred bachelors' granting US educational institutions to connect material taught in higher education to the detailed work activities in the US economy as reported by the US Department of Labor. First, we show how differences in taught skills both within and between college majors correspond to earnings differences of recent graduates.

Increased Mortality Among Persons With Symptomatic Coronavirus Disease 2019 (COVID-19) During the Period of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) B.1.617.2 (Delta Variant) Predominance: Alaska, November 2020-October 2021.

We compared the mortality risk in Alaska among persons with symptomatic coronavirus disease 2019 (COVID-19) during the period the Delta variant was predominant to the risk among those with symptomatic COVID-19 before Delta predominance. The Delta period was associated with 2.43-fold higher odds of death.

Aboriginality and violence: gender and cultural differences on the Level of Service/Risk, Need, Responsivity (LS/RNR) and Violence Risk Scale (VRS).

There is an over-representation of Aboriginal/Indigenous people in the criminal justice systems of Australia, Canada, New Zealand and the United States, with offences committed by male and female Aboriginal prisoners predominantly involving physical violence against a person. Risk assessment tools used have not been developed for Aboriginal people, and validations have produced varied results. The current study focused on violent offenders and investigated the differences between four demographic groups - Aboriginal females (AF), non-Aboriginal females (NAF), Aboriginal males (AM) and non-Aboriginal males (NAM) - on the Level of Service/Risk, Need, Responsivity (LS/RNR) and Violence Risk Scale (VRS; including Screening Version, VRS-SV).

A comparison of trajectories of offending among people with psychotic disorders, other mental disorders and no mental disorders: Evidence from a whole-of-population birth cohort study.

Background: Trajectory analysis has been used to study long-term offending patterns and identify offender subgroups, but few such studies have included people with psychotic disorders (PDs) and these have been restricted to adult offenders.

Aims: To compare offending trajectories among 10-26-year-olds with PDs with those with other mental disorders (OMDs) or none (NMD) and identify associated risk factors.

Methods: This is a record-linkage study of 184,147 people born in Western Australia (WA) 1983-1991, drawing on data from WA mental health information system, WA corrective services and other state-wide registers.

Housing Prices and the Skills Composition of Neighborhoods.

In the United States (US), low-income workers are being pushed away from city centers where the cost of living is high. The effects of such changes on labor mobility and housing price have been explored in the literature. However, few studies have focused on the occupations and specific skills that identify the most susceptible workers.

Universal resilience patterns in labor markets.

Cities are the innovation centers of the US economy, but technological disruptions can exclude workers and inhibit a middle class. Therefore, urban policy must promote the jobs and skills that increase worker pay, create employment, and foster economic resilience. In this paper, we model labor market resilience with an ecologically-inspired job network constructed from the similarity of occupations' skill requirements.

Forensic Experts' Perspectives on Australian Indigenous Sexual Offenders and Factors Important in Evaluating the Risk of Recidivism.

Law and ethics require that risk assessment should be cross-culturally valid and fair, but Australian research in this regard is underdeveloped. A logical first step in progressing the work required to build a strong evidence base on culturally sensitive risk assessment in Australia is to determine the expert views of those in the field. We interviewed 13 Australian evaluators who assess Indigenous sexual offenders' recidivism risk to determine their perceptions of the risk assessment instruments they use and the attributes they believe evaluators doing cross-cultural assessments should have.

Perinatal depression screening rates, correlates, and treatment recommendations in an obstetric population.

Introduction: The current study aimed to assess perinatal depression (PD) screening and treatment practices of obstetrical health care providers.

Method: Retrospective record reviews ( = 557) evaluated the PD screening, referral, and treatment practices at an Obstetrician/Gynecology practice. This study assessed the frequency of screening for PD, rates of elevated Edinburgh Postnatal Depression Scale (EPDS) scores, treatment recommendations, demographic correlates, and predictors of elevated EPDS scores.

The universal pathway to innovative urban economies.

Is there a universal economic pathway individual cities recapitulate over and over? This evolutionary structure-if any-would inform a reference model for fairer assessment, better maintenance, and improved forecasting of urban development. Using employment data including more than 100 million U.S.

Psychometric assessment of the Edinburgh Postnatal Depression Scale in an obstetric population.

The prevalence and negative effects of perinatal depression are well known. The Edinburgh Postnatal Depression Scale (EPDS) is a common screening tool for perinatal depression and it is recommended for use by several professional organizations. The current study tested competing EPDS factor structures and assessed EPDS change from intake to 6-week follow-up, and identified demographic correlates in an outpatient obstetric sample.

Impact of substance use and other risk factor exposures on conviction rates by people with a psychotic illness and other mental disorders.

Purpose: To examine the impact of substance use and other risk factors on conviction rates in people with a psychotic illness (PI) and other mental disorders (OMD) compared to those with no mental illness (NMI).

Methods: This research is part of a longitudinal record-linked whole-population study of 467,945 children born in Western Australia (WA) between 1980 and 2001. This cohort was identified through linkages between the WA psychiatric case register, WA corrective services data and other state-wide registers.

Toward understanding the impact of artificial intelligence on labor.

Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a renewed call for policy efforts to address the consequences of technological change.

15 years of GDR: New data and functionality in the Genome Database for Rosaceae.

The Genome Database for Rosaceae (GDR, https://www.rosaceae.org) is an integrated web-based community database resource providing access to publicly available genomics, genetics and breeding data and data-mining tools to facilitate basic, translational and applied research in Rosaceae.

Unpacking the polarization of workplace skills.

Economic inequality is one of the biggest challenges facing society today. Inequality has been recently exacerbated by growth in high- and low-wage occupations at the expense of middle-wage occupations, leading to a "hollowing" of the middle class. Yet, our understanding of how workplace skills drive this process is limited.

Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.

The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae).

Small cities face greater impact from automation.

The city has proved to be the most successful form of human agglomeration and provides wide employment opportunities for its dwellers. As advances in robotics and artificial intelligence revive concerns about the impact of automation on jobs, a question looms: how will automation affect employment in cities? Here, we provide a comparative picture of the impact of automation across US urban areas. Small cities will undertake greater adjustments, such as worker displacement and job content substitutions.

Detecting reciprocity at a global scale.

Reciprocity stabilizes cooperation from the level of microbes all the way up to humans interacting in small groups, but does reciprocity also underlie stable cooperation between larger human agglomerations, such as nation states? Famously, evolutionary models show that reciprocity could emerge as a widespread strategy for achieving international cooperation. However, existing studies have only detected reciprocity-driven cooperation in a small number of country pairs. We apply a new method for detecting mutual influence in dynamical systems to a new large-scale data set that records state interactions with high temporal resolution.

Validating Bayesian truth serum in large-scale online human experiments.

Bayesian truth serum (BTS) is an exciting new method for improving honesty and information quality in multiple-choice survey, but, despite the method's mathematical reliance on large sample sizes, existing literature about BTS only focuses on small experiments. Combined with the prevalence of online survey platforms, such as Amazon's Mechanical Turk, which facilitate surveys with hundreds or thousands of participants, BTS must be effective in large-scale experiments for BTS to become a readily accepted tool in real-world applications. We demonstrate that BTS quantifiably improves honesty in large-scale online surveys where the "honest" distribution of answers is known in expectation on aggregate.