COMPARING DIFFERENT TECHNIQUES USED BY COMPANIES INTERGRATING AI IN LITIGATION Kevin Muriithi Mirera

Data mining is a way to extract knowledge out of generally large data sets; in other words, it is an approach to discover hidden relationships among data by using artificial intelligence methods. This has made it an important field in research. Law is one of the most important fields for applying data mining given the plethora of data from law cases stenographer data to lawsuit data. Text summarization in NLP (Natural Language Processing) is the process of summarizing the information on large texts for quicker consumption it is an extremely useful technique in NLP. Identifying law case characteristics is the first step for developing further analysis. An approach based on data mining techniques is discussed in this paper to extract important entities from law cases which are written in plain text. The process will involve different Artificial intelligence techniques including clustering or other unsupervised or supervised learning techniques.

Examining Housing Instability Among Females Who Are System-Involved: Comparing Females With and Without Histories of Commercial Sexual Exploitation

Females involved in child welfare (CW) or juvenile justice (JJ) systems are at-risk for commercial sexual exploitation (CSE). This study used administrative data from CW and JJ agencies in Los Angeles County to examine out-of-home care experiences and identify the types of homes that were associated with housing instability for females who experienced CSE. Demographic and case characteristics of females with a history of CSE and a matched sample without a reported history of CSE were compared using χ2 analyses and t-tests. Females with a history of CSE experienced significantly more housing instability compared to their matched counterparts. Housing instability was associated with leaving care without permission (LCWOP), and females were most likely to move because of LCWOP from group homes. These findings highlight the extremely unstable living situations for females with histories of CSE. Recommendations align with new federal policy, which aims to reduce reliance on group homes.

Asthma in Morocco: Retrospective Analysis of Case Characteristics reported by Hospital Units

Asthma is a serious public health problem. This study aimed to identify the characteristics of asthma cases reported by Agadir's Souss-Massa Regional Hospital Center (SMRHC). A retrospective analysis was carried out at the SMRHC's pneumology and paediatrics departments in 2019. As data support, reporting records and a data collection worksheet were used. This year, 141 cases were reported. The highest frequencies were observed in February (21.9%) and April (26.6%). Both males and females were affected (sex ratio Male/Female = 0.98). The asthmatics were, on average 40.7 ± 25.1 years old. The majority of the cases are from areas that are easily accessible for medical consultation at the SMRHC. To obtain more accurate knowledge and contribute to the research, related studies should be undertaken on this topic. Our findings, we hope, will act as a foundation for future research into improving the case registration system (digital support) and upgrading patient data in accordance with WHO and GINA guidelines.

Abstract 14171: Prehospital Outcomes and Patient Characteristics Associated With PulsePoint Dispatches for Out-of-Hospital Cardiac Arrest in Pittsburgh, Pennsylvania

Background: Mobile phone-based dispatch of volunteers to out-of-hospital cardiac arrest (OHCA) has been shown to increase the likelihood of early chest compressions and AED application. In the United States, limited characterization of patients encountered as a result of such systems exists, including PulsePoint Respond, a smartphone-based volunteer dispatch system. Objective: Examine prehospital case characteristics and outcomes from a multi-year deployment of PulsePoint in Pittsburgh, Pennsylvania. Methods: Case data, including PulsePoint determinant triggers and timing, prehospital electronic health records (EHRs), and computer aided dispatch records were obtained for suspected EMS-treated OHCA cases that did and did not generate PulsePoint alerts within the service area of Pittsburgh EMS for the period July 2016 to October 2020. EHRs were reviewed to determine true OHCA status, and OHCA case characteristics were extracted according to the Utstein template. Key characteristics and the outcome of prehospital return of spontaneous circulation (ROSC) were summarized and compared between cases with and without PulsePoint dispatches. Chi-squared tests were used to determine statistical significance of relationships. Results: There were 1229 OHCA cases overall in the capture period, with an estimated 29.6% occurring in public. Of 840 total PulsePoint dispatches, 68 (8.1%) were for true OHCA. Forty-five (66.2%) of these were witnessed, 43 (63.2%) received bystander CPR, and 17 (25%) had an AED applied prior to first responder arrival. Twenty-seven (39.7%) had an initial shockable rhythm, and 34 (50%) achieved ROSC in the field. Compared to non-PulsePoint dispatch generating OHCA, PulsePoint alert-associated patients were significantly more likely to be male (p=0.024), have bystander CPR/AED application performed (p<0.001), have an initial shockable rhythm (p<0.001), and achieve ROSC (p<0.001). EMS response time, age, ALS response time, and witnessed status were not significantly different. Conclusions: A minority of PulsePoint dispatches in Pittsburgh were triggered by true OHCA. Among cases that did generate a PulsePoint dispatch, case characteristics were prognostically favorable.

186. Characteristics of COVID-19 Vaccine Breakthrough Cases in Minnesota, 2021

Background Over 600,000 COVID-19 cases, including &gt;7000 deaths reported to MN Dept of Health (MDH) by June 1, 2021. Clinical trials demonstrated high effectiveness of COVID vaccines. We assessed COVID-19 cases among fully vaccinated residents [vaccine breakthrough (VB) cases]. Methods COVID-19 VB cases were MN residents with completed COVID-19 vaccination series ≥14 days prior to symptom onset or positive for SARS-CoV-2 by nucleic acid amplification or antigen test. COVID-19 cases were reported to MDH and COVID-19 vaccinations reported to the MN Immunization Information Connection (MIIC). COVID-19 cases were matched to MIIC to identify VB and interviewed; medical records of hospitalized cases were reviewed. Available VB case specimens underwent whole genome sequencing (WGS) at MDH or collaborating lab. Results Jan 19 – June 1, 2021, 2765 VB cases were reported among &gt;2.45 million fully vaccinated residents and 147,445 COVID-19 cases. VB case median (MED) age was 52 y (IQR 38, 68), 83% white, 65% female; MED age of fully vaccinated was 55 y (IQR 30, 68), 77% white, 54% female. Of VB cases, 273 (10%) were hospitalized and 32 (1%) died (MED age 74 y; IQR 66, 85). 2212 (80%) VB cases were interviewed; 60% reported symptoms; most common were fatigue (53%), rhinorrhea (49%), cough (42%), headache (41%). 35% reported a comorbidity. Of hospitalized VB cases, 120 had completed record reviews. 64 were admitted for COVID-19 related illness (MED age 74 y, IQR:65, 83) including 27 admitted to ICU (MED age 71 y, IQR: 65, 83). 90% (108) reported a comorbidity, most common being chronic metabolic conditions (46%), obesity (45%), renal disease (31%) and chronic lung disease (26%); 27 were immunocompromised (not mutually exclusive), including immunosuppressive therapy (15), hematological malignancy (9), other cancer (11), and organ transplant recipients (8). Of 604 VB case specimens, 79% were B.1.1.7, 9% B.1.427/429, 3% P.1, and 2% B.1.351; lineage distribution was similar to overall 24,157 MN SARS-CoV2 WGS data. Conclusion Identified VB cases were 0.1% of those vaccinated and &lt; 2% of total cases reported in the time period. COVID-19 vaccines are an important tool in preventing COVID-19. Additional surveillance, including WGS and case characteristics will be useful to monitor VB. Disclosures Ruth Lynfield, MD, Nothing to disclose

Why Are Federal Meth Sentences Getting Longer?

While sentence lengths for most federal drug trafficking offenses have decreased in recent years, methamphetamine sentences are moving in the opposite direction, lengthening by 12% between FY2015 and FY2019. Using data from the U.S. Sentencing Commission and other sources, I consider several possible reasons for this increase. I conclude that four recent trends have jointly produced longer meth sentences: (1) drug volumes have increased, (2) the criminal history of the average offender has become more extensive, (3) weapon enhancements and charges have become more common, and (4) cases have grown increasingly likely to be sentenced as high-purity “ice” or by “actual” meth content, which carry much more punitive mandatory and guideline minimums than meth mixture. How much of the increase in sentence lengths has been attributable to shifting case characteristics (e.g., growing drug volumes, changing criminal histories, and increased weapons use) versus efforts to charge and pursue offenses that carry greater penalties? I use USSC data to conduct several simulations estimating how sentence lengths would have evolved if all meth cases were sentenced as the same meth type. I predict that the average meth trafficking sentence would have lengthened by 27–33% less, or 3.3–4.0 fewer months, if all cases were sentenced as the same meth type but all other case attributes remained unchanged. The remainder of the growth is attributable to case and offender characteristics. However, this prediction assumes that relief and leniency decisions would not change if statutory and guideline minimums were altered; to allow for this possibility, I run another set of simulations, taking these possible offsetting effects into account. My latter simulations predict that trafficking sentences might have increased 13–16% less than they did in reality, a smaller magnitude than my initial estimates. I briefly consider the underlying reasons for these trends. Some, but not all, of the changing offense characteristics may be linked to the recent shift to Mexican methamphetamine production. The timing of the shift in meth type charged suggests it may largely be the result of a change in Justice Department charging policy enacted in 2017; this shift cannot be attributed to any change in drug purity.

Alloying Effect on Nitrided Case Characteristics of Nitralloy 135M and AISI 4140 Steel

Nitriding surface hardening is commonly used on steel components for high wear, fatigue and corrosion applications. Case hardening results from white layer formation and coherent alloy nitride precipitates in the diffusion zone. This paper evaluates the microstructure development in the nitrided case and its effects on the hardness in both the white layer and the substrate for two industry nitriding materials, Nitralloy 135M and AISI 4140. Computational thermodynamic calculations were used to identify the type and amount of stable alloy nitrides precipitation and helped explain the differences in the white layer hardness, degree of porosity at the surface, and the hardening effect within the substrate. Some initial insights toward designing nitriding alloys are shown.

SARS-CoV-2 shedding dynamics across the respiratory tract, sex, and disease severity for adult and pediatric COVID-19

Background:Previously, we conducted a systematic review and analyzed the respiratory kinetics of SARS-CoV-2 (P. Z. Chen et al., 2021). How age, sex and COVID-19 severity interplay to influence the shedding dynamics of SARS-CoV-2, however, remains poorly understood.Methods:We updated our systematic dataset, collected individual case characteristics and conducted stratified analyses of SARS-CoV-2 shedding dynamics in the upper (URT) and lower respiratory tract (LRT) across COVID-19 severity, sex and age groups (aged 0 to 17 years, 18 to 59 years, and 60 years or older).Results:The systematic dataset included 1,266 adults and 136 children with COVID-19. Our analyses indicated that high, persistent LRT shedding of SARS-CoV-2 characterized severe COVID-19 in adults. Severe cases tended to show slightly higher URT shedding post-symptom onset, but similar rates of viral clearance, when compared to nonsevere infections. After stratifying for disease severity, sex and age (including child vs. adult) were not predictive of respiratory shedding. The estimated accuracy for using LRT shedding as a prognostic indicator for COVID-19 severity was up to 81%, whereas it was up to 65% for URT shedding.Conclusions:Virological factors, especially in the LRT, facilitate the pathogenesis of severe COVID-19. Disease severity, rather than sex or age, predict SARS-CoV-2 kinetics. LRT viral load may prognosticate COVID-19 severity in patients before the timing of deterioration, and should do so more accurately than URT viral load.Funding:Natural Sciences and Engineering Research Council of Canada (NSERC) DiscoveryGrant, NSERC Senior Industrial Research Chair and the Toronto COVID-19 Action Fund.

Does Speed Matter? The Association Between Case Processing Time in Juvenile Court and Rearrest

The present study assessed the relationship between case processing time and rearrest among a sample of first-time juvenile offenders referred to the Florida juvenile justice system and examined the extent to which this association varied by youth and case characteristics. Propensity score analyses suggested youth with longer case processing times had higher odds of being rearrested within 1 year compared to youth with shorter case processing times. Subgroup analyses suggested differences in the effects of case processing time by youth and case-level characteristics. According to results, policymakers should prioritize implementing and enforcing case processing time restrictions in their jurisdictions, particularly for detained youth and remain aware of the potential ensnaring implications of longer case processing times to reduce rearrest rates for first-time juvenile offenders.

Sentencing Females Convicted of Sex Offenses: Examining Measures of Perceived Dangerousness and the Decision to Incarcerate

From media attention to legislative actions, individuals convicted of sex offenses are often perceived as dangerous and a threat to society. Previous research, however, has demonstrated that perceived dangerousness is gender-specific, often minimizing culpability for women convicted of sex offenses. Consequently, previous research on sentencing outcomes of these individuals have largely been male-only samples, leaving a gap in the literature as it pertains to females convicted of sex offenses. The current study sought to fill this gap by examining the impact that those convicted, victims, and offense characteristics had on sentencing outcomes for women convicted of sex offenses. We analyzed a sample of 262 females convicted of a sex offense in a Southern state. The results demonstrated that official case characteristics, along with victim characteristics, play an influential role in the judicial decision to impose an incarceration sentence.