Early Identification and Screening of Infants and Toddlers with Autism and Related Disorders

Early Identification and Screening of Infants and Toddlers with Autism and Related Disorders Parents and childcare providers are in a unique position to increase early identification and screening of infants and toddlers. Caregivers and early childhood educators are usually the first to observe developmental differences in children. Because early intervention can have dramatic impacts on later outcomes, it is imperative to increase the awareness of early red flags and the ability to identify developmental concerns in infants and toddlers before they reach preschool age. Research in the field of Autism and related disorders recommends that early intervention is key to changing the developmental trajectory of children with autism and developmental delays. As professionals working with infants and toddlers, our goal is for all children to have positive supports in order to increase their developmental potential. Because caregivers and early childcare providers are on the front line in regards to daily interactions with infants and toddlers, it is vital to empower them with tools to identify, screen, and implement positive supports for children who might be at risk for developmental deficits and autism. This would include understanding infant/toddler developmental milestones, identifying early signs of developmental delays including Autism Spectrum Disorders, learning about basic developmental screeners, and coaching on parent/caregiver-implemented positive supports. We will also discuss current initiatives that Marcus Autism Center has in place to increase positive supports and evidence-based early intervention strategies in the home and childcare setting

Misdemeanor Enforcement Trends Across Seven U.S. Jurisdictions

This paper, which is a product of DCJ's Research Network on Misdemeanor Justice ("the Research Network"), examines long-term trends in lower-level enforcement across seven U.S. jurisdictions:  Durham, NC; Los Angeles, CA; Louisville, KY;  New York City, NY; Prince George's County; MD; Seattle, WA; and St. Louis, MO. It draws both on reports that were produced through partnerships between local researchers and criminal justice agency partners as well as updated data the Research Network has published through an interactive online dashboard. The paper analyzed cross-jurisdictional trends in enforcement, including misdemeanor arrest rates broadly, by demographics (race/age/sex), and by charge

Criminal Conviction Records in New York City (1980-2019)

In this report, the Data Collaborative for Justice (DCJ) presents analyses on criminal convictions in New York City from 1980 through 2019, using data provided by the New York State Division of Criminal Justice Services. DCJ presents the number of criminal convictions that have accumulated over the course of these four decades, broken down by charge severity (i.e., misdemeanor vs. felony), charge type (e.g., drug charges or property-related charges) and demographics (i.e., race/ethnicity, sex, and age). DCJ also documents the number of individuals who have criminal convictions on their records, including the race/ethnicity, sex, and age of people with conviction records. Finally, DCJ analyzes individuals' conviction records to assess how long ago these convictions occurred and the number and type of charges that make up conviction records

Unravelling transmission of Mycobacterium avium subspecies paratuberculosis to dairy calves: results of a lifelong longitudinal study

Johne's disease (JD) is a chronic disease of ruminants endemic in the UK and other countries and responsible for large economic losses for the dairy sector. JD is caused by Mycobacterium avium subspecies paratuberculosis (MAP), which typically infects calves that remain latently infected during a long period, making early detection of infection challenging. Cow to calf transmission can occur in-utero, via milk/colostrum or faecal-orally. Understanding of the different transmission routes to calves is important in informing control recommendations. Our aim in this longitudinal study was to measure the association between the transmission routes via the dam and the environment on a calf subsequently testing serologically positive for MAP. The study population comprised of 439 UK dairy calves from 6 herds enrolled between 2012 and 2013. These calves were followed up from birth until 2023. At birth individual calf data was captured. During follow-up, individuals entering the milking herd were quarterly tested for the presence of MAP antibodies using milk ELISA. Cox regression models were used to measure the association between exposure from the dam (in-utero and/or colostrum) or from the environment (long time in dirty yard) and time to first detection of MAP infection. An association between calves born to positive dams and probability of having a MAP positive test result remained after excluding potential MAP transmission via colostrum (Hazard ratio: 2.24; 95% CI: 1.14 - 4.41). Calves unlikely to be infected with MAP via the in-utero or colostrum route, had 3.68 (95% CI: 3.68 1.45-9.33) higher hazard of a positive test result when they stayed longer in a dirty calving area. The effect of the dam infection status on transmission to calves precedes the dam's seroconversion and persists after excluding the potential role of transmission via colostrum. The association between time spent in a dirty calving area and probability of a MAP positive test result highlights the role of environmental contamination as a source of infection in addition to the dam. [Abstract copyright: Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Me, My Girls, and the Ideal Hotel: Segmenting Motivations of the Girlfriend Getaway Market Using Fuzzy C-Medoids for Fuzzy Data.

Segmenting the motivation of travelers using the push and pull framework remains ubiquitous in tourism. This study segments the girlfriend getaway (GGA) market on motivation (push) and accommodation (pull) attributes and identifies relationships between these factors. Using a relatively novel clustering algorithm, the Fuzzy C-Medoids clustering for fuzzy data (FCM-FD), on a sample of 749 women travelers, three segments (Socializers, Enjoyers, and Rejoicers) are uncovered. The results of a multinomial fractional model show relationships between the clusters of motivation and accommodation attributes as well as sociodemographic characteristics. The research highlights the importance of using a gendered perspective in applying well established motivation models such as the push and pull framework. The findings have implications for both destination and accommodation management

The ChatGPT Artificial Intelligence Chatbot: How Well Does It Answer Accounting Assessment Questions?

ChatGPT, a language-learning model chatbot, has garnered considerable attention for its ability to respond to users’ questions. Using data from 14 countries and 186 institutions, we compare ChatGPT and student performance for 28,085 questions from accounting assessments and textbook test banks. As of January 2023, ChatGPT provides correct answers for 56.5 percent of questions and partially correct answers for an additional 9.4 percent of questions. When considering point values for questions, students significantly outperform ChatGPT with a 76.7 percent average on assessments compared to 47.5 percent for ChatGPT if no partial credit is awarded and 56.5 percent if partial credit is awarded. Still, ChatGPT performs better than the student average for 15.8 percent of assessments when we include partial credit. We provide evidence of how ChatGPT performs on different question types, accounting topics, class levels, open/closed assessments, and test bank questions. We also discuss implications for accounting education and research

In Vivo Fate Analysis Reveals the Multipotent and Self-Renewal Features of Embryonic AspM Expressing Cells

Radial Glia (RG) cells constitute the major population of neural progenitors of the mouse developing brain. These cells are located in the ventricular zone (VZ) of the cerebral cortex and during neurogenesis they support the generation of cortical neurons. Later on, during brain maturation, RG cells give raise to glial cells and supply the adult mouse brain of Neural Stem Cells (NSC). Here we used a novel transgenic mouse line expressing the CreERT2 under the control of AspM promoter to monitor the progeny of an early cohort of RG cells during neurogenesis and in the post natal brain. Long term fate mapping experiments demonstrated that AspM-expressing RG cells are multi-potent, as they can generate neurons, astrocytes and oligodendrocytes of the adult mouse brain. Furthermore, AspM descendants give also rise to proliferating progenitors in germinal niches of both developing and post natal brains. In the latter –i.e. the Sub Ventricular Zone- AspM descendants acquired several feature of neural stem cells, including the capability to generate neurospheres in vitro. We also performed the selective killing of these early progenitors by using a Nestin-GFPflox-TK allele. The forebrain specific loss of early AspM expressing cells caused the elimination of most of the proliferating cells of brain, a severe derangement of the ventricular zone architecture, and the impairment of the cortical lamination. We further demonstrated that AspM is expressed by proliferating cells of the adult mouse SVZ that can generate neuroblasts fated to become olfactory bulb neurons

Tracking Enforcement Trends in New York City: 2003-2018

In this report, the Data Collaborative for Justice (DCJ) examines how New York City's enforcement rates have changed from 2003 to 2018, adding four additional years of data to update our prior report, Tracking Enforcement Rates in New York City, 2003-2014. This report builds on DCJ's prior research by (1) examining whether declines in enforcement continued in recent years, (2) situating those trends within the context of criminal justice policy over the past 30 years, and (3) examining any changes in disparities in enforcement by race/ethnicity, age, and sex. The data presented in this report serve to anchor the important, ongoing conversations surrounding fairness and equity in the criminal legal system