Diversity in Recruitment: The Role of Realistic Website Job Previews for Racial and Ethnic Minority Applicants

Prior research has examined the effects of diversity-related recruitment on racial and ethnic minority applicants, but less research has focused on how objective and realistic information about diversity influences applicant outcomes. Drawing from previous literature on realistic job previews (RJPs) and social identity theory (SIT), the current study investigates how recruitment material with objective racial demographic information (i.e., percentage of racial minorities employed) and leader diversity testimonials (i.e., positive or realistic) on diversity recruitment webpages affect racial and ethnic minority applicant outcomes (i.e., organizational attraction, sense of fit, and organizational trust) using a 3x2 between-person experimental design. Finally, the study examines how diversity centrality, or the extent to which diversity is valued by an individual, moderates the effects of recruitment material on applicant outcomes. Overall, I hypothesized that applicants would rate higher levels of attraction, sense of fit, and trust towards organizations that provided racial demographic information and a realistic diversity testimonial on their fictitious website. Furthermore, I hypothesized that these effects would be stronger for applicants with higher levels of diversity centrality. Results from multiple regressions indicated that no hypotheses were supported. Various explanations for these non-significant findings and limitations of this work are discussed that may be beneficial for future research on diversity recruitment

Effects of molecular contamination and sp2^2 carbon on oxidation of (100) single-crystal diamond surfaces

The efficacy of oxygen (O) surface terminations of specific moieties and densities on diamond depends on factors such as crystallinity, roughness, and crystal orientation. Given the wide breadth of diamond-like materials and O-termination techniques, it can be difficult to discern which method would yield the highest and most consistent O coverage on a particular subset of diamond. We first review the relevant physical parameters for O-terminating single-crystalline diamond (SCD) surfaces and summarize prior oxidation work on (100) SCD. We then report on our experimental study on X-ray Photoelectron Spectroscopy (XPS) characterization of (100) diamond surfaces treated with oxidation methods that include wet chemical oxidation, photochemical oxidation with UV illumination, and steam oxidation using atomic layer deposition. We describe a rigorous XPS peak-fitting procedure for measuring the functionalization of O-terminated samples and recommend that the reporting of peak energy positions, line shapes, and full-width-half-maximum values of the individual components, along with the residuals, are important for evaluating the quality of the peak fit. Two chemical parameters on the surface, sp$^2$ C and molecular contaminants, are also crucial towards interpreting the O coverage on the diamond surface and may account for the inconsistency in prior reported values in literature

Biorecuperación y fitorremediación de suelo impactado por aceite residual automotriz

In soil spill by 75000 ppm of waste motor oil (WMO) a mix of hydrocarbons (HICO) aliphatic, aromatic is relativelyhigh according to Mexican regulation NOM-138-SEMARNAT/SSA1-2012 (NOM-138) which indicate that in soil themaximum limit accepted is 4400 ppm of HICO. WMO is an environmental problem because it´s causes lost soil´sfertility. The objectives of this research were a) biostimulation (BIS) of soil by 75000 ppm of WMO by mineral solution(MISO) and Vicia sativa as green manure (GEMA), b) phytoremediation (PHYTO) with Sorghum bicolor potencies byB. cepacia and P. chrysogenum for reducing WMO at concentration level value below the maximum accepted by theNOM-138. The results showed that BIS with MISO and V. sativa as GEMA reduced WMO from 75000 to 36700 ppm.Then PYTHO by S. bicolor potencies with B. vietnamiensis and P. chrysogenum decreased WMO from 36700 ppm to790 ppm concentration value below to maximum accepted by NOM-138.Those results indicated that enrichment by MISO and GEMA induced WHO partial mineralization by heterotrophicaerobic native microorganisms, then PYTHO by S. bicolor and B. cepacia/P. chrysogenum completed its biorestaurationby decreasing WMO level at below the highest accepted the Mexican environmental regulation NOM-138.En suelo el derrame de 75000 ppm de aceite residual automotriz (ARA) una mezcla de hidrocarburos alifáticos, aromáticos y poli cíclicos, derivado de automóviles, es una concentración relativamente alta acorde con la regulación ambiental en México, relacionada con este tipo de contaminación, denominada NOM-138 SEMARNAT/SS-2003 (NOM-138),la que establece en suelo el límite máximo permitido de 4400 ppm, cualquier concentración superior, causa ademáspérdida de fertilidad. Los objetivos de esta investigación fueron: a) bioestimulación (BIS) de suelo impactado por 75000ppm de ARA con solución mineral (SOMI) y Vicia sativa o abono verde (AVE) y b) Fitorremediación (FITO) medianteSorghum bicolor potenciado con Burkholderia vietnamiensis y Penicillium chrysogenum para decrecer el ARA a valorinferior al máximo aceptado por la NOM-138.Los resultados señalaron que la BIS con SOMI y V. sativa redujeron el ARA de 75000 a 36700 ppm, mientras que laFITO mediante S. bicolor con B. vietnamiensis y P. chrysogenum lo disminuyeron de 36700 a 790 ppm, valor inferior almáximo aceptado por la NOM-138. Lo anterior indica que en suelo la BIS con SOMI y V. sativa o AVE, lo enriquecieron con minerales N (nitrógeno) P (fosforo), principales limitantes nutricionales de la microbiota heterotrófica aerobianativa, para mineralizar parcialmente el ARA, y concluir con la FITO mediante S. bicolor tratado con B. vietnamiensis/P. chrysogenum para su biorecuperación y decrecerlo a valor inferior al máximo aceptado por la NOM-138

Fragmentación de ADN y cambios en la expresión de las proteínas Hsp70, Hsp90 y P53 en la piel de ratones BALB/c expuestos a luz ultravioleta UV (UVA, UVB, UVC)

Objetivo: Analizar cambios en la expresión de Hsp70, Hsp90, p53 y la fragmentación de ADN en células de piel de ratón BALB/c expuestos a radiación UVA, UVB y UVC, así como la posible disminución del daño cutáneo utilizando los antioxidantes superóxido dismutasa (SOD), glutatión peroxidasa (GSH-Px) y catalasa (CAT) por vía tópica. Material y Método: Estudio experimental básico efectuado de marzo de 2016 a febrero de 2019, en el que ratones BALB/c fueron expuestos a radiación UVA, UVB y UVC durante 30, 60 y 90 minutos, se obtuvieron extractos de piel. Las proteínas se caracterizaron por SDS-PAGE y Western-blot y se inmunodetectaron con anticuerpos monoclonales. Se evaluó la integridad del ADN mediante electroforesis en geles de agarosa. Resultados: Se observaron cambios en la morfología de la piel expuesta a luz UV, la Hsp70 y Hsp90 modificaron su expresión por luz UV (UVA, UVB, UVC) a los distintos tiempos de exposición, lo mismo sucedió con p53 donde su expresión se incrementó a 30 y 60 minutos de exposición. Al utilizar una crema con antioxidantes disminuyó levemente la expresión de Hsp70 y Hsp90, mientras que p53 aumentó. El ADN se fragmentó principalmente con luz UVB y UVC. Conclusión: La luz UV genera estrés celular modificando la expresión (incremento) de las proteínas Hsp70, Hsp90 y p53. Asimismo, se observa la fragmentación del ADN debido a luz UV

Fragmentación de ADN y cambios en la expresión de las proteínas Hsp70, Hsp90 y P53 en la piel de ratones BALB/c expuestos a luz ultravioleta UV (UVA, UVB, UVC)

Objetivo: Analizar cambios en la expresión de Hsp70, Hsp90, p53 y la fragmentación de ADN en células de piel de ratón BALB/c expuestos a radiación UVA, UVB y UVC, así como la posible disminución del daño cutáneo utilizando los antioxidantes superóxido dismutasa (SOD), glutatión peroxidasa (GSH-Px) y catalasa (CAT) por vía tópica. Material y Método: Estudio experimental básico efectuado de marzo de 2016 a febrero de 2019, en el que ratones BALB/c fueron expuestos a radiación UVA, UVB y UVC durante 30, 60 y 90 minutos, se obtuvieron extractos de piel. Las proteínas se caracterizaron por SDS-PAGE y Western-blot y se inmunodetectaron con anticuerpos monoclonales. Se evaluó la integridad del ADN mediante electroforesis en geles de agarosa. Resultados: Se observaron cambios en la morfología de la piel expuesta a luz UV, la Hsp70 y Hsp90 modificaron su expresión por luz UV (UVA, UVB, UVC) a los distintos tiempos de exposición, lo mismo sucedió con p53 donde su expresión se incrementó a 30 y 60 minutos de exposición. Al utilizar una crema con antioxidantes disminuyó levemente la expresión de Hsp70 y Hsp90, mientras que p53 aumentó. El ADN se fragmentó principalmente con luz UVB y UVC. Conclusión: La luz UV genera estrés celular modificando la expresión (incremento) de las proteínas Hsp70, Hsp90 y p53. Asimismo, se observa la fragmentación del ADN debido a luz UV

Universidad y sociedad: la psicología aprendida mediante colaboraciones

Este material está dirigido tanto a investigadores como a profesores y estudiantes que tengan el interés de aprender nuevas formas de relacionarse para intervenir, en colaboración, en diferentes espacios sociales y realidades problemáticas. También puede resultar de interés para los directivos de instituciones públicas, privadas y organizaciones no gubernamentales que tengan a su cargo programas de intervención social, así como a luchadoras y luchadores sociales que busquen formas de organizarse para transformar situaciones particulares de vulnerabilidad. En estas páginas hay una invitación a formar universitarias y universitarios a partir de su intervención en problemáticas y escenarios vivos, a reconocer el saber colectivo de los otros que están insertos en diferentes situaciones y aprender que el conocimiento se genera a partir del vínculo y la colaboración con la diversidad.ITESO. A.C

Impact of preemptive hospitalization on health outcomes at the temporary COVID-19 hospital in Mexico City: a prospective observational study.

INTRODUCTION: In response to the evolution of the coronavirus disease 2019 (COVID-19) pandemic, the admission protocol for the temporary COVID-19 hospital in Mexico City has been updated to hospitalize patients preemptively with an oxygen saturation (SpO2) of >90%. METHODS: This prospective, observational, single-center study compared the progression and outcomes of patients who were preemptively hospitalized versus those who were hospitalized based on an SpO2 ⩽90%. We recorded patient demographics, clinical characteristics, COVID-19 symptoms, and oxygen requirement at admission. We calculated the risk of disease progression and the benefit of preemptive hospitalization, stratified by CALL Score: age, lymphocyte count, and lactate dehydrogenase (<8 and ⩾8) at admission. RESULTS: Preemptive hospitalization significantly reduced the requirement for oxygen therapy (odds ratio 0.45, 95% confidence interval 0.31-0.66), admission to the intensive care unit (ICU) (0.37, 0.23-0.60), requirement for invasive mechanical ventilation (IMV) (0.40, 0.25-0.64), and mortality (0.22, 0.10-0.50). Stratification by CALL score at admission showed that the benefit of preemptive hospitalization remained significant for patients requiring oxygen therapy (0.51, 0.31-0.83), admission to the ICU (0.48, 0.27-0.86), and IMV (0.51, 0.28-0.92). Mortality risk remained significantly reduced (0.19, 0.07-0.48). CONCLUSION: Preemptive hospitalization reduced the rate of disease progression and may be beneficial for improving COVID-19 patient outcomes

The Role of Call-Back Systems in Older Patients Discharged from the Emergency Department

Objectives: UC Irvine in partnership with CipherHealth has incorporated an automated call-back system utilizing a Geriatric Emergency Nurse Initiative Expert (GENIE) to follow-up with older patients. This study aimed to discover the most significant concerns older patients have after discharged from the ED, impact of a call-back system, impact of a dedicated GENIE in the follow-up process, and to highlight areas for further research.Background: Emergency departments (ED) can be challenging to navigate for elderly patients. Geriatric visits to the ED are common and costly for both patients and health systems. Additionally, older patients are more likely to have a longer length of stay, increased complications and worse health outcomes. Over the past decade, there has been increasing efforts to incorporate geriatric specific care in emergency departments. The goal of these programs was to better communicate with older patients regarding their health and reduce recidivism.Methods: CipherHealth data regarding call-back rates and intervention details for UC Irvine Medical Center and UC Irvine Health were collected from June to November of 2021. Additionally, call-back data from the geriatric specialist nurse was collected during this time period and compared to the call-back rates of the automated CipherHealth system. Using the GENIE call-back data, we grouped call-backs into categories based on specific patient concerns. Finally, recidivism rates were obtained prior to the implementation of CipherHealth and geriatric nurse specialists and compared with those seen after.Results: There were a total of 4,748 initial calls made with the Cipher Health system and 292 individual follow-up calls made by the GENIE. Of the calls made by the GENIE the most common issue was with follow-up appointments (99 recorded issues). The next most common issue was with discharge instructions (82 recorded issues), followed by general status issues (80 recorded issues), issues obtaining prescriptions (18 recorded issues), and medication questions (13 recorded issues). Additionally, the rate of recidivism for patients over the age of 65 prior to the implementation of the call-back system was 20.9 percent compared with 15.6 percent in the months following implementation of these systems.Conclusion: Our data suggests that there are specific areas of intervention that many older patients have issues with post-discharge. These concerns centered around follow-up appointments and discharge paperwork, suggesting an avenue for future quality improvement. Additionally, the decrease in recidivism after implementation of the call-back systems are a promising sign. A future study would be needed to prove true causation however there are reasons for optimism

Understanding Work and Sleep Through A Machine Learning Approach

The present study will utilize machine learning methods to find the individual factors (e.g, demographic, lifestyle, contextual, work-related) best predict sleep. I will examine (1) whether machine learning techniques better predict sleep over linear prediction methods and (2) what factors are most important when predicting sleep. Using government-funded data from the Bureau of Labor Statistics (BLS), a variety of prediction methods will be utilized to evaluate and compare predictive performance across 2018, 2019, and 2020. Results found will have a variety of theoretical and practical implications for scientists and practitioners

Ensemble Learning for Breast Cancer Lesion Classification: A Pilot Validation Using Correlated Spectroscopic Imaging and Diffusion-Weighted Imaging.

The main objective of this work was to evaluate the application of individual and ensemble machine learning models to classify malignant and benign breast masses using features from two-dimensional (2D) correlated spectroscopy spectra extracted from five-dimensional echo-planar correlated spectroscopic imaging (5D EP-COSI) and diffusion-weighted imaging (DWI). Twenty-four different metabolite and lipid ratios with respect to diagonal fat peaks (1.4 ppm, 5.4 ppm) from 2D spectra, and water and fat peaks (4.7 ppm, 1.4 ppm) from one-dimensional non-water-suppressed (NWS) spectra were used as the features. Additionally, water fraction, fat fraction and water-to-fat ratios from NWS spectra and apparent diffusion coefficients (ADC) from DWI were included. The nine most important features were identified using recursive feature elimination, sequential forward selection and correlation analysis. XGBoost (AUC: 93.0%, Accuracy: 85.7%, F1-score: 88.9%, Precision: 88.2%, Sensitivity: 90.4%, Specificity: 84.6%) and GradientBoost (AUC: 94.3%, Accuracy: 89.3%, F1-score: 90.7%, Precision: 87.9%, Sensitivity: 94.2%, Specificity: 83.4%) were the best-performing models. Conventional biomarkers like choline, myo-Inositol, and glycine were statistically significant predictors. Key features contributing to the classification were ADC, 2D diagonal peaks at 0.9 ppm, 2.1 ppm, 3.5 ppm, and 5.4 ppm, cross peaks between 1.4 and 0.9 ppm, 4.3 and 4.1 ppm, 2.3 and 1.6 ppm, and the triglyceryl-fat cross peak. The results highlight the contribution of the 2D spectral peaks to the model, and they demonstrate the potential of 5D EP-COSI for early breast cancer detection