Tribal Sovereign Immunity as a Defense at the Patent Trial and Appeal Board? Or a Violation of U.S. Antitrust Laws?

This Comment will address two primary issues. First, it will analyze the basis of sovereign immunity rights of tribes, with a focus on the relationship between intellectual property rights and sovereignty. Second, it will discuss whether this arrangement violates the antitrust laws of the United States. This Comment concludes that even if a claim of tribal sovereign immunity is legitimate, it is likely that such an arrangement still violates the relevant antitrust claims

Considering uncertainties expands the lower tail of maize yield projections

Crop yields are sensitive to extreme weather events. Improving the understanding of the mechanisms and the drivers of the projection uncertainties can help to improve decisions. Previous studies have provided important insights, but often sample only a small subset of potentially important uncertainties. Here we expand on a previous statistical modeling approach by refining the analyses of two uncertainty sources. Specifically, we assess the effects of uncertainties surrounding crop-yield model parameters and climate forcings on projected crop yield. We focus on maize yield projections in the eastern U.S.in this century. We quantify how considering more uncertainties expands the lower tail of yield projections. We characterized the relative importance of each uncertainty source and show that the uncertainty surrounding yield model parameters is the main driver of yield projection uncertainty

Assessing facebook profiles of job candidates: opening pandora’s box

The information is likely prohibited from being used in employment decisions or is irrelevant to job performance, write Liwen Zhang, Chad Van Iddekinge, John Arnold, Philip Roth, Filip Lievens, Stephen E. Lanivich, and Samantha Jorda

A ruptured ectopic pregnancy in a patient with an intrauterine device: A case report.

Intrauterine devices (IUDs) are used worldwide. The 2 types that are used are the levonorgestrel IUD and a copper containing IUD. This is a case study of a 30-year-old female with a levonorgestrel IUD who was diagnosed with a ruptured ectopic pregnancy in the emergency department (ED). Point-of-care urine pregnancy test and point-of-care ultrasound (POCUS) were vital in making this diagnosis and should be utilized in patients assigned female at birth who present with abdominal pain

What's on job seekers' social media sites? A content analysis and effects of structure on recruiter judgments and predictive validity

Many organizational representatives review social media (SM) information (e.g., Facebook, Twitter) when recruiting and assessing job applicants. Despite this, very little empirical data exist concerning the SM information available to organizations or whether assessments of such information are a valid predictor of work outcomes. This multistudy investigation examines several critical issues in this emerging area. In Study 1, we conducted a content analysis of job seekers' Facebook sites (n = 266) and found that these sites often provide demographic variables that U.S. employment laws typically prohibit organizations from using when making personnel decisions (e.g., age, ethnicity, and religion), as well as other personal information that is not work-related (e.g., sexual orientation, marital status). In Study (n = 140), we examined whether job seekers' SM information is related to recruiter evaluations. Results revealed that various types of SM information correlated with recruiter judgments of hireability, including demographic variables (e.g.. gender, marital status), variables organizations routinely assess (e.g.. education. training, and skills). and variables that may be a concern to organizations (e.g., profanity. sexual behavior). In Study 3 (ta = 81), we examined whether structuring SM assessments (e.g., via rater training) affects criterion-related validity. Results showed that structuring SM assessments did not appear to improve the prediction of future job performance or withdrawal intentions. Overall, the present findings suggest that organizations should be cautious about assessing SM information during the staffing process

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https://openspace.dmacc.edu/banner_news/1229/thumbnail.jp

Banner News

https://openspace.dmacc.edu/banner_news/1230/thumbnail.jp

Technology-Assisted Psychosocial Interventions for Childhood, Adolescent, and Young Adult Cancer Survivors: A Systematic Review and Meta-Analysis

Purpose: Technology-assisted interventions are essential in supporting cancer survivors' psychosocial outcomes, especially for childhood, adolescent, and young adult (AYA) cancer survivors, a tech-savvy generation. This study aims to systematically evaluate review and meta-analyze technology-assisted interventions for childhood and AYA cancer survivors. Methods: Following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, the study team used a pre-set of key words and searched studies across 11 electronic databases and 4 professional websites, and conducted a manual search of reference lists from published reviews. Meta-analysis of small sample size corrected Hedges' g was conducted using meta-regression with robust variance estimation. Results: Final analysis included a total of 28 clinical trials, including 237 effect sizes reported an overall statistically significant treatment effect of technology-assisted psychosocial interventions for childhood and AYA cancer survivors, g = 0.382, 95% confidence interval (CI) 0.243 to 0.521, p < 0.0001. Subgroup analysis revealed that distraction-based interventions and interventions for psychosocial and emotional health were overall statistically significant, whereas interventions for childhood and AYA cancer survivors' cancer knowledge outcomes and physical and functional health outcomes were statistically nonsignificant. Moderator analysis found intervention target was a significant moderator. Conclusions: Technology-assisted interventions for childhood and AYA cancer survivors were overall effective across domains of survivorship outcomes. Favorable evidence was found primarily for childhood cancer survivors with limited support for AYA cancer survivors. Implications for Cancer Survivors: Although existing technology-assisted interventions are overall promising, research support for cancer survivors from different age groups and with different psychosocial challenges varies and should be considered individually.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/167604/1/Zhang-2021-Technology-assisted-psychosocial-in (2).pdfDescription of Zhang-2021-Technology-assisted-psychosocial-in (2).pdf : Main articleSEL