Students Who Perceive Instructors to Have a Fixed Mindset Report a Greater Sense of Academic Misfit That Leads to Lower Chemistry Grades.

Student mindset beliefs about the malleability of intelligence have been linked to student outcomes. However, recent meta-analyses showed mixed findings on how student mindset impacts their outcomes depending on the environment and context, such as the mindset that the instructor projects in the classroom. The current work utilizes Social Cognitive Theory to elucidate the relationship among student perceptions of faculty mindset, affective factors (belonging, self-efficacy, and utility value), and behavioral factors (course grade) using a Diversity, Equity, and Inclusion (DEI) lens within the chemistry context at a demographically diverse institution.

Perceived Barriers to Equitable Participation in the Learning Assistant Program.

To build a more diverse STEM workforce, institutions seek to increase the representation of diverse groups in faculty and mentoring positions. The Learning Assistant (LA) near-peer student support program has the potential to bring diverse students into highly visible and impactful mentoring roles early in their college careers, benefiting both LAs and students in LA-supported courses. However, the demographic characteristics of potential students interested in the LA Program and the subsequent barriers to entry have yet to be investigated.

Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply.

Reconfiguring the structure of the supply chain network is one of the most strategic and vital decisions in designing a supply chain network. In this study, a Closed-Loop Blood Supply Chain Network (CLBSCN) considering blood group compatibility, ABO-Rh(D), and blood product shelf life has been studied to determine the best strategic and tactical decisions simultaneously considering lateral resupply/transshipment and service-level maximization. Several vital parameters, including supply and demand, are considered fuzzy numbers to approximate reality due to the nature of the world.

Designing a sustainable closed-loop supply chain network considering lateral resupply and backup suppliers using fuzzy inference system.

Sustainability is key factor for transforming traditional supply chain networks into modern ones. This study, for the first time, considers the impacts of the backup suppliers and lateral transshipment/resupply simultaneously on designing a Sustainable Closed-Loop Supply Chain Network (SCLSCN) to decrease the shortage that may occur during the transmission of produced goods in the network. In this manner, the fuzzy multi-objective mixed-integer linear programming model is proposed to design an efficient SCLSCN resiliently.

Selective small molecule PARG inhibitor causes replication fork stalling and cancer cell death.

Poly(ADP-ribose)ylation (PARylation) by PAR polymerase 1 (PARP1) and PARylation removal by poly(ADP-ribose) glycohydrolase (PARG) critically regulate DNA damage responses; yet, conflicting reports obscure PARG biology and its impact on cancer cell resistance to PARP1 inhibitors. Here, we found that PARG expression is upregulated in many cancers. We employed chemical library screening to identify and optimize methylxanthine derivatives as selective bioavailable PARG inhibitors.

Living With Intelligent Sensors: Older Adult and Family Member Perceptions.

This qualitative study is part of a larger randomized prospective intervention study that examined the clinical and cost effectiveness of using sensor data from an environmentally embedded sensor system for early illness recognition. It explored the perceptions of older adults and family members on the sensor system's usefulness, impact on daily routine, privacy, and sharing of health information. This study was conducted in 13 assisted-living facilities in Missouri, and 55 older adults were interviewed.

Biomechanical evaluation of peak reverse torque (PRT) in a dynamic compression plate-screw construct used in a goat tibia segmental defect model.

Background: Peak reverse torque (PRT) is a valid method to evaluate implants' secondary stability in the healing bone. The secondary stability is achieved by the implant over time and it has been positively correlated with the implants' osseointegration level. In other words, peak reverse torque is the force required to break the bone-implant interface.

Controlled Overgrowth of Five-Fold Concave Nanoparticles into Plasmonic Nanostars and Their Single-Particle Scattering Properties.

Growth of anisotropic nanostructures enables the manipulation of optical properties across the electromagnetic spectrum by fine morphological tuning of the nanoparticles. Among them, stellated metallic nanostructures present enhanced properties owing to their complex shape, and hence, the control over the final morphology becomes of great importance. Herein, a seed-mediated method for the high-yield production of gold-copper concave branched nanostructures and their structural and optical characterization is reported.

Effects of carbon-based nanomaterials on seed germination, biomass accumulation and salt stress response of bioenergy crops.

Bioenergy crops are an attractive option for use in energy production. A good plant candidate for bioenergy applications should produce a high amount of biomass and resist harsh environmental conditions. Carbon-based nanomaterials (CBNs) have been described as promising seed germination and plant growth regulators.

The HCUP SID Imputation Project: Improving Statistical Inferences for Health Disparities Research by Imputing Missing Race Data.

Objective: To identify the most appropriate imputation method for missing data in the HCUP State Inpatient Databases (SID) and assess the impact of different missing data methods on racial disparities research.

Data Sources/study Setting: HCUP SID.

Study Design: A novel simulation study compared four imputation methods (random draw, hot deck, joint multiple imputation [MI], conditional MI) for missing values for multiple variables, including race, gender, admission source, median household income, and total charges.

Evidence That G-quadruplex DNA Accumulates in the Cytoplasm and Participates in Stress Granule Assembly in Response to Oxidative Stress.

Cells engage numerous signaling pathways in response to oxidative stress that together repair macromolecular damage or direct the cell toward apoptosis. As a result of DNA damage, mitochondrial DNA or nuclear DNA has been shown to enter the cytoplasm where it binds to "DNA sensors," which in turn initiate signaling cascades. Here we report data that support a novel signaling pathway in response to oxidative stress mediated by specific guanine-rich sequences that can fold into G-quadruplex DNA (G4DNA).

Comparing Loudness Tolerance and Acceptable Noise Level in Listeners With Hearing Loss.

The present study was a follow-up investigation to a previous study exploring the relationship between listeners' loudness tolerance and listeners' acceptable noise level among normally hearing adults. The present study compared the same two measures, but data were obtained from listeners with hearing loss; 12 adults with sensorineural hearing loss participated in a loudness tolerance measure using a scaling technique initially established for setting hearing aid output limits, in addition to an acceptable noise level measure. The acceptable noise level procedure used in this study quantified the listeners' acceptance of background noise while listening to speech.

Comparative study of plant responses to carbon-based nanomaterials with different morphologies.

The relationship between the morphology of carbon-based nanomaterials (CBNs) and the specific response of plants exposed to CBNs has not been studied systematically. Here, we prove that CBNs with different morphologies can activate cell growth, germination, and plant growth. A tobacco cell culture growth was found to increase by 22%-46% when CBNs such as helical multi-wall carbon nanotubes (MWCNTs), few-layered graphene, long MWCNTs, and short MWCNTs were added to the growth medium at a concentration of 50 μg ml(-1).

Institutional Animal Care and Use Committee Considerations for the Use of Wildlife in Research and Education.

Ethical and effective oversight of the use of wildlife species in research and education requires consideration of issues and methods not relevant to work with traditional laboratory or domesticated animals, just as the effective oversight of biomedical research requires consideration of issues and methods not germane to wildlife research. Institutional Animal Care and Use Committees or other institutional review committees can meet their responsibilities in these disparate types of animal activities only by using resources tailored to the animals and situations encountered. Here we review the issues and the resources that facilitate effective oversight of such activities in the wildlife research arena available to researchers, institutional review committees, regulatory bodies, and accrediting bodies.

Animal Welfare Policy: Implementation in the Context of Wildlife Research--Policy Review and Discussion of Fundamental Issues.

The use of vertebrate animals in research and education in the United States is subject to a number of regulations, policies, and guidelines under the immediate oversight of Institutional Animal Care and Use Committees (IACUCs), which are charged with ensuring the ethical and appropriate use of the animal subjects. In almost all instances, this regulatory and oversight landscape of animal use has been developed around domesticated animals in biomedical research environments. When the research activities involve wild species, especially in their natural habitat rather than a laboratory, oversight personnel and investigators alike struggle with determining what constitutes ethical and appropriate activities.

Introduction to Insights Gained from Wildlife Research in the Context of Global Anthropogenic Change.

The language and subject matter offered in this issue of the ILAR Journal represent a departure from standard discourse on research animal welfare. Although the overall character of such a departure will become evident, the contributions herein reinforce and expand upon the shared, established tenets of research animal welfare. Through the work and experience of contributing wildlife research professionals, this issue of the ILAR Journal offers a diverse consortium of wildlife topics ranging from policy to conservation to disease investigation, all against the backdrop of the complexities of effective compliance and oversight when the research subjects are wild.

Relationship between loudness tolerance and the acceptance of background noise for young adults with normal hearing.

This study investigated the relationship between listener loudness tolerance and listener acceptable noise level (ANL). Twenty-five normal hearing adults completed loudness tolerance and acceptable noise level measures. Loudness tolerance was measured using a scaling technique.

Weight loss and diet plans.

This article examines popular diet plans for weight loss and provides information about their efficacy. Diets covered include: very-low-calorie and low-calorie diets; low-fat and very-low-fat diets; moderate-fat, low-calorie diets; and low-carbohydrate, high-protein diets. The importance of portion size and behavioral change is also discussed.

Regional societies: fostering competitive research through virtual infrastructures.

The MidSouth Computational Biology and Bioinformatics Society (MCBIOS) describes its efforts to provide local opportunities for researchers to learn and connect with colleagues

A neural network model for optimizing vowel recognition by cochlear implant listeners.

Due to the variability in performance among cochlear implant (CI) patients, it is becoming increasingly important to find ways to optimally fit patients with speech processing strategies. This paper proposes an approach based on neural networks, which can be used to automatically optimize the performance of CI patients. The neural network model is implemented in two stages.