Washington College

Background Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing health concern and the risk of its development is connected with the increasing prevalence of metabolic syndrome (MetS) which occurs as a result of some complex obesity-induced metabolic changes. It is a common chronic liver disease characterized by excessive fat accumulation in the liver, the tendency to progress to more severe forms, and a corresponding increase in morbidity and mortality. Thus, effectively addressing the rising burden of the disease requires a thorough understanding of its complex interrelationship with obesity and MetS. Main Body MASLD results from complex interactions involving obesity, insulin resistance, and dyslipidaemia, leading to hepatic lipid accumulation, and is influenced by several genetic and environmental factors such as diet and gut microbiota dysbiosis. It has extensive metabolic and non-metabolic implications, including links to MetS components like hyperglycaemia, hypertension, and dyslipidaemia, and progresses to significant liver damage and other extra-hepatic risks like cardiovascular disease and certain cancers. Diagnosis often relies on imaging and histology, with non-invasive methods preferred over liver biopsies. Emerging biomarkers and OMIC technologies offer improved diagnostic capabilities but face practical challenges. Advancements in artificial intelligence (AI), lifestyle interventions, and pharmacological treatments show promise, with future efforts focusing on precision medicine and novel diagnostic tools to improve patient outcome. Conclusion Understanding the pathogenic mechanisms underlying the development of MASLD within the context of metabolic syndrome (MetS) is essential for identifying potential therapeutic targets. Advancements in non-invasive diagnostic tools and novel pharmacological treatments, hold promise for improving the management of MASLD. Future research should focus on precision medicine and innovative therapies to effectively address the disease and its consequences.

Background The Zindagi Mehfooz (safe life; ZM) electronic immunization registry (EIR) is a comprehensive suite of digital health interventions that aims to improve equitable access, timeliness, and coverage of child immunizations through a smartphone-based app for vaccinators, web-based dashboards for supervisors and managers, text message alerts and reminders for caregivers, and a call center. It has been implemented at scale in Sindh Province, Pakistan. Objective This study aimed to present findings from an evaluation of the ZM-EIR suite of digital health interventions in order to improve data availability and use as a contribution, among other immunization program interventions, to enhanced immunization outcomes for children aged 12-23 months in Sindh Province. Methods The mixed methods study included (1) analysis of ZM-EIR system data to identify high-, moderate-, and low-adoption and compliance sites; (2) in-depth interviews with caregivers, vaccinators, supervisors, and managers in the Expanded Program for Immunization (EPI); and (3) pre-post outcome evaluation using vaccine coverage from the Multiple Indicator Cluster Surveys (MICS) 2014 and 2018-2019. Key outcomes of interest were improved data availability, use and contribution to immunization outcomes, including receipt of individual antigens (Bacillus Calmette-Guérin [BCG], pentavalent [Penta] 1-3, measles), full immunization (all antigens), and zero-dose children defined as children aged 6-23 months who have not received the first dosage of the diphtheria-pertussis-tetanus 1/Penta vaccine. Results By registering newborns, providing alerts and reminders, and tracking their immunization completion, the ZM-EIR improved data availability and use in the EPI. The ZM-EIR was well received by EPI administrators, supervisors, vaccinators, and caregivers. The key benefit highlighted by ZM-EIR users was a list of children who missed scheduled vaccines (defaulters). Through greater availability and use of data, the ZM-EIR implementation, as part of a broader package of immunization program–strengthening activities in Sindh Province, may have contributed to an increase in immunization coverage and timeliness for BCG vaccinations and a decrease in zero-dose children in 2018-2019 from 2014. Additional findings from the study included the dual burden of reporting on paper and gender-related considerations of female caregivers not wanting to provide their phone numbers to male vaccinators, creating barriers to greater uptake of the ZM-EIR. Conclusions The ZM-EIR is a promising technology platform that has increased the availability and use of immunization data, which may have contributed, along with other intensive immunization program interventions, to improvements in immunization outcomes through systematic registration of children, alerts and reminders, and increased use of data for planning and monitoring by the EPI. Trial Registration ISRCTN Registry ISRCTN23078223; https://doi.org/10.1186/ISRCTN23078223

Collaborative Filtering remains the most widely used recommendation algorithm due to its simplicity and effectiveness. However, most studies addressing the trade-off between accuracy and diversity in collaborative filtering recommendation algorithms focus solely on optimizing the recommendation list, often neglecting users’ diverse demands for recommendation results. We propose a new user-based Two-Stage collaborative filtering method for Neighborhood Selection (TSNS) that considers both the similarity between users and the dissimilarity between neighbors in the neighborhood selection phase. Firstly, we define the user’s preference value for the attributes of evaluated items and determine the range and ranking of user preferences. Then, we construct a preference heterogeneity model to evaluate preference differences among users and obtain a preference heterogeneity matrix based on the range and ranking of preferences. Finally, to effectively ensure recommendation accuracy and diversity, we adopt a two-stage neighborhood selection method to identify a group of neighbors that are internally dissimilar but similar to target users. Deep representation learning methods can also be incorporated into this framework to calculate user similarity in the first stage. Experimental results on two datasets show that our proposed method outperforms the benchmark method, including those using deep learning, in terms of comprehensive performance. Our approach offers new insights into improving the accuracy and diversity of personalized recommendations.

Multidrug-resistant Staphylococcus aureus is one of the most clinically important pathogens in the world, with infections leading to high rates of morbidity and mortality in both humans and animals. The ability of S. aureus to form biofilms protects cells from antibiotics and promotes the transfer of antibiotic resistance genes; therefore, new strategies aimed at inhibiting biofilm growth are urgently needed. Probiotic species, including Bacillus subtilis, are gaining interest as potential therapies against S. aureus for their ability to reduce S. aureus colonization and virulence. Here, we search for strains and microbially derived compounds with strong antibiofilm activity against multidrug-resistant S. aureus by isolating and screening Bacillus strains from a variety of agricultural environments. From a total of 1,123 environmental isolates, we identify a single strain B. subtilis 6D1, with a potent ability to inhibit biofilm growth, disassemble mature biofilm, and improve antibiotic sensitivity of S. aureus biofilms through an Agr quorum sensing interference mechanism. Biochemical and molecular networking analysis of an active organic fraction revealed multiple surfactin isoforms, and an uncharacterized peptide was driving this antibiofilm activity. Compared with commercial high-performance liquid chromatography grade surfactin obtained from B. subtilis, we show these B. subtilis 6D1 peptides are significantly better at inhibiting biofilm formation in all four S. aureus Agr backgrounds and preventing S. aureus-induced cytotoxicity when applied to HT29 human intestinal cells. Our study illustrates the potential of exploring microbial strain diversity to discover novel antibiofilm agents that may help combat multidrug-resistant S. aureus infections and enhance antibiotic efficacy in clinical and veterinary settings. IMPORTANCE The formation of biofilms by multidrug-resistant bacterial pathogens, such as Staphylococcus aureus, increases these microorganisms’ virulence and decreases the efficacy of common antibiotic regimens. Probiotics possess a variety of strain-specific strategies to reduce biofilm formation in competing organisms; however, the mechanisms and compounds responsible for these phenomena often go uncharacterized. In this study, we identified a mixture of small probiotic-derived peptides capable of Agr quorum sensing interference as one of the mechanisms driving antibiofilm activity against S. aureus. This collection of peptides also improved antibiotic killing and protected human gut epithelial cells from S. aureus-induced toxicity by stimulating an adaptive cytokine response. We conclude that purposeful strain screening and selection efforts can be used to identify unique probiotic strains that possess specially desired mechanisms of action. This information can be used to further improve our understanding of the ways in which probiotic and probiotic-derived compounds can be applied to prevent bacterial infections or improve bacterial sensitivity to antibiotics in clinical and agricultural settings.

As a result of the COVID‐19 pandemic, significant disruptions were experienced in the 2020 school year. Transitions to remote teaching and student dismissal from campuses contributed to higher rates of stress, anxiety, depression, and uncertainty about student futures. Many educational institutions in the U.S. had to cancel or modify commencement ceremonies in response to social distancing mandates. For emerging adults in college, those ages 18–25, the loss of a traditional graduation event made the transition out of school and into adult roles and responsibilities more challenging. This study, based on qualitative surveys of 38 graduates from the class of 2020 who attended a private liberal arts college and experienced a virtual graduation ceremony, reveals that without the formal closure on the liminal period of emerging adulthood and the college years, many graduates were struggling to feel a sense of being ready to move on to graduate school or adult working roles. The life course perspective is employed to examine the impacts of the disruptions to the educational experience and put the loss of rituals in context for emerging adults today.

Changes in student expectations and attitudes combined with research on the positive relationship between active engagement and student learning have many college administrators and planners in higher education reconsidering classroom design. One element of classroom design that has the potential to address the unique needs of an increasingly diverse university population is flexible seating; however, most of the research on flexible seating is anecdotal and has been done on elementary student populations. Guided by Barkley’s model of student engagement in the college classroom, this mixed-methods study evaluated student perceptions and the academic, social, and emotional impacts of flexible seating in the higher education classroom. Results suggest that flexible seating positively impacts students’ experience in the higher education classroom including the ability to move during class, greater comfort, increased focus and engagement, reduced anxiety, and decreased pain. In addition, students with disabilities and anxiety may be more like to choose flexible seating. Implications and future research on the use of flexible seating in the higher education classroom are included.

This Element posits that questions are the heart of leadership. Leaders ask hard questions that spark creative solutions and new understandings. Asking by itself isn't enough - leaders must also help find answers and turn them into effective action. But the leader's work begins with questions. This Element surveys the main traditions of leadership thought; considers the nature of the group and its questions; explores how culture and bureaucracy serve to provide stable answers to the group's questions; and explores how leaders offers disruptive answers, especially in times of change and crisis. It uses the lens of questions to consider two parallel American lives, President Abraham Lincoln and General Robert E. Lee.

The importance of interdisciplinary approaches for research and education in environmental studies and sciences is well known. Integration of the multiple disciplinary approaches taught in separate courses required within these undergraduate majors and minors, however, remains a challenge. Program faculty often come from different departments and do not have time or space to integrate their own approaches with each other, resulting in individual ways of understanding interdisciplinarity. Secondly, senior capstone, thesis, or other project-based degree requirements often come too late in an undergraduate education to design an integrative project. Students would benefit from prior training in identifying complementary or divergent approaches and insights among academic specializations—a skill built from raising interdisciplinary consciousness. We present a workshop designed to enhance undergraduates’ interdisciplinary consciousness that can be easily deployed within courses or co-curricular programs, specifically summer research programs that are focused on dedicated practice within a field of study. The central question of this project is: How do we facilitate interdisciplinary consciousness and assess its impact on our students? We propose a promising, dialogue-based intervention that can be easily replicated. This dialogue would benefit academic programs like environmental studies and sciences that require the interaction and integration of discipline-based norms. We found that our dialogue intervention opens students’ perspectives on the nature of research, who research is for, epistemological differences, and the importance of practicing the research process, a unique educational experience. These perspectives are crucial to becoming collaborative, twenty-first century professionals.

Racial gerrymandering has been an ongoing problem when redistricting efforts are undertaken. Previous research has shown strong relationships between gerrymandering, racial diversity, and the presence of Superfund and other toxic waste sites. Here we build off these studies and analyze the relationships that exist between gerrymandering, toxic waste sites, and the supplemental nutrition assistance program (SNAP). This work, in part, builds off of the original United Church of Christ (UCC) research conducted in 1987 that indicated that 60% of Black people lived in proximity to toxic waste facilities. By including SNAP, we offer an additional layer of understanding to environmental inequities in the United States. Utilizing measures of geometric complexity as a surrogate for gerrymandering, we find that gerrymandering, in conjunction with socio-economic variables (children receiving SNAP, number of carcinogenic toxic waste sites, and number of individuals under 18) represents approximately 79% of the variance explaining the percent of Black individuals in a given congressional district in our study area (R 2 = 78.6). We find similar results when describing the White population, though the relationships are inverse (R 2 = 81.4).

A bstract A search for CP violation in the decay kinematics and vector-boson fusion production of the Higgs boson is performed in the H → ZZ * → 4 ℓ ( ℓ = e, μ ) decay channel. The results are based on proton-proton collision data produced at the LHC at a centre-of-mass energy of 13 TeV and recorded by the ATLAS detector from 2015 to 2018, corresponding to an integrated luminosity of 139 fb − 1 . Matrix element-based optimal observables are used to constrain CP-odd couplings beyond the Standard Model in the framework of Standard Model effective field theory expressed in the Warsaw and Higgs bases. Differential fiducial cross-section measurements of the optimal observables are also performed, and a new fiducial cross-section measurement for vector-boson-fusion production is provided. All measurements are in agreement with the Standard Model prediction of a CP-even Higgs boson.