Climate Change Impacts on Water Resources in the Northeast

This study aims first to summarize the existing body of research related to concerns about water resources, water supply, and potential impacts of natural disasters under a warmer climate in the northeast. In addition, this study seeks to expand prior work by looking at the potential impacts of a changing climate on water quality in the reservoir system

Progress towards the ideal core@shell nanoparticle for fuel cell electrocatalysis

The commercialisation of polymer electrolyte fuel cells (PEFCs) has been hampered by the high cost of platinum metal. Due to its high durability and catalytic activity, platinum is widely used to catalyse the oxygen reduction and hydrogen oxidation reactions essential to the operation of these cells. Core@shell nanoparticles with thin layers of platinum deposited on cores composed of cheaper materials have offered an attractive route towards the reduction of overall loading of platinum, with the retention of active catalyst surface area. This review surveys approaches taken to prepare idealised active and durable core@shell nanocatalysts by tweaking core compositions. A critical reflection on the current status of the field, as well as predictions as to likely directions for future developments, are discussed as a conclusion to the review

Classifying elephant behaviour through seismic vibrations

Seismic waves — vibrations within and along the Earth’s surface — are ubiquitous sources of information. During propagation, physical factors can obscure information transfer via vibrations and influence propagation range [1]. Here, we explore how terrain type and background seismic noise influence the propagation of seismic vibrations generated by African elephants. In Kenya, we recorded the ground-based vibrations of different wild elephant behaviours, such as locomotion and infrasonic vocalisations [2], as well as natural and anthropogenic seismic noise. We employed techniques from seismology to transform the geophone recordings into source functions — the time-varying seismic signature generated at the source. We used computer modelling to constrain the propagation ranges of elephant seismic vibrations for different terrains and noise levels. Behaviours that generate a high force on a sandy terrain with low noise propagate the furthest, over the kilometre scale. Our modelling also predicts that specific elephant behaviours can be distinguished and monitored over a range of propagation distances and noise levels. We conclude that seismic cues have considerable potential for both behavioural classification and remote monitoring of wildlife. In particular, classifying the seismic signatures of specific behaviours of large mammals remotely in real time, such as elephant running, could inform on poaching threats

The Dean’s Racial Justice Curriculum Challenge

This Work in Progress paper will present the College of Engineering Dean’s Racial Justice Curriculum Challenge. This challenge tasks all faculty in the college to use their engineering problem-solving skills to develop creative ways to incorporate issues of diversity, equity, inclusion, and racial justice in every class we teach. The challenge was inspired by our students, who requested a greater connection between the technical content of classes and real world issues, in particular the role engineers play in either fostering inclusive solutions or contributing to the propagation of inequities. The intent is to engage faculty in the development of new curriculum, and success was measured by the level of engagement, and featured direct student feedback into the curriculum ideas. Starting in 2020-2021 academic year, we challenged every faculty member to contribute to the Dean’s Curriculum Challenge. Each lesson plan was reviewed by a team of students, and at least one was highlighted each week. We received 67 lesson plans from 45 faculty members, impacting 52 courses. Several courses included more than one racial justice themed lesson during the semester. Faculty participation rates were higher in Fall 2020, but varied across departments: 33% of biomedical engineering (BME), 7% of civil engineering (CE), 61% of chemical engineering (CHE), 15% of electrical and computer engineering (ECE), and 26% of mechanical and industrial engineering (MIE). In Spring 2021, 83% of BME, 14% of CE, 26% of CHE, 5% of MIE, and 33% of our Junior Year Writing faculty participated. In total, 3 freshmen, 10 sophomore, 12 junior, 8 senior, 12 senior/graduate, and 9 graduate level classes were impacted. In Fall 2021 we added a second challenge faculty could contribute to: the Inclusive Design challenge. Thus far, we have had 5 submissions from 3 faculty members and 1 graduate student teaching fellow. In addition, the challenge inspired individual department “brainstorming sessions” to discuss pedagogy and best practices for introducing these topics into a variety of class types. This paper will describe the lessons learned as the Dean’s Curriculum Challenge has been implemented as well as plans for sustaining and further supporting the challenge. This will include types of lesson plans, activities, and class discussions that were introduced. Once the program has been established, data will be collected from faculty on what they found effective and whether they continued these or other related activities in future semesters. In the 2021-2022 academic year, several highlighted submissions were presented by the faculty to a wider audience within the college

Peripheral lymphocyte signaling pathway deficiencies predict treatment response in first-onset drug-naïve schizophrenia

Despite being a major cause of disability worldwide, the pathophysiology of schizophrenia and molecular basis of treatment response heterogeneity continue to be unresolved. Recent evidence suggests that multiple aspects of pathophysiology, including genetic risk factors, converge on key cell signaling pathways and that exploration of peripheral blood cells might represent a practical window into cell signaling alterations in the disease state. We employed multiplexed phospho-specific flow cytometry to examine cell signaling epitope expression in peripheral blood mononuclear cell (PBMC) subtypes in drug-naïve schizophrenia patients (n = 49) relative to controls (n = 61) and relate these changes to serum immune response proteins, schizophrenia polygenic risk scores and clinical effects of treatment, including drug response and side effects, over the longitudinal course of antipsychotic treatment. This revealed both previously characterized (Akt1) and novel cell signaling epitopes (IRF-7 (pS477/pS479), CrkL (pY207), Stat3 (pS727), Stat3 (pY705) and Stat5 (pY694)) across PBMC subtypes which were associated with schizophrenia at disease onset, and correlated with type I interferon-related serum molecules CD40 and CXCL11. Alterations in Akt1 and IRF-7 (pS477/pS479) were additionally associated with polygenic risk of schizophrenia. Finally, changes in Akt1, IRF-7 (pS477/pS479) and Stat3 (pS727) predicted development of metabolic and cardiovascular side effects following antipsychotic treatment, while IRF-7 (pS477/pS479) and Stat3 (pS727) predicted early improvements in general psychopathology scores measured using the Brief Psychiatric Rating Scale (BPRS). These findings suggest that peripheral blood cells can provide an accessible surrogate model for intracellular signaling alterations in schizophrenia and have the potential to stratify subgroups of patients with different clinical outcomes or a greater risk of developing metabolic and cardiovascular side effects following antipsychotic therapy