Trees and Shrubs

Small trees or shrubs at an unidentified location, perhaps a park or orchard. Small placards, presumably for identifying the plants, are visible in the image. This is probably a park or arboretum.https://corescholar.libraries.wright.edu/special_sc381_photographs/1163/thumbnail.jp

Crossbow Bolt Injury to the Heart

Case summary A 33-year-old woman was transferred from an outside hospital with a penetrating injury to her right chest. The patient was shot with a crossbow with the entry site to the right breast/chest and a transmediastinal trajectory. She was intubated prior to arrival due to difficulty breathing. Her vital signs remained stable and within normal limits, with good breath sounds, and no evidence of pneumothorax on chest X-ray. The tip of the bolt was palpable at the patient’s left midaxillary line. Chest X-ray in trauma bay showed the transmediastinal trajectory, and the bolt appeared to have a field point (not a broadhead point) (figure 1). A CT of the chest was obtained to assist with surgical planning. Images showed the bolt penetrating the right chest, right ventricle and inferior aspect of the left ventricular muscle, through the stomach, and ending near the tip of the spleen with a fracture of the left seventh ri

Relaxation Dynamics in Amorphous Alloys Under Asymmetric Cyclic Shear Deformation

The influence of cyclic loading and glass stability on structural relaxation and yielding transition in amorphous alloys was investigated using molecular dynamics simulations. We considered a binary mixture cooled deep into the glass phase and subjected to cyclic shear deformation where strain varies periodically but remains positive. We found that rapidly cooled glasses under asymmetric cyclic shear gradually evolve towards states with lower potential energy and finite stress at zero strain. At the strain amplitude just below a critical value, the rescaled distributions of nonaffine displacements converge to a power-law decay with an exponent of about -2 upon increasing number of cycles. By contrast, more stable glasses yield at lower strain amplitudes, and the yielding transition can be delayed for hundreds of cycles when the strain amplitude is near a critical value. These results can be useful for the design of novel thermo-mechanical processing methods to improve mechanical and physical properties of metallic glasses

Faculty Senate Agenda and Minutes, February 13, 2023

Agenda and minutes from the Wright State University Faculty Senate Meeting held on February 13, 202

Explainable Deep Learning: A Field Guide for the Uninitiated

Deep neural networks (DNNs) are an indispensable machine learning tool despite the difficulty of diagnosing what aspects of a model’s input drive its decisions. In countless real-world domains, from legislation and law enforcement to healthcare, such diagnosis is essential to ensure that DNN decisions are driven by aspects appropriate in the context of its use. The development of methods and studies enabling the explanation of a DNN’s decisions has thus blossomed into an active and broad area of research. The field’s complexity is exacerbated by competing definitions of what it means “to explain” the actions of a DNN and to evaluate an approach’s “ability to explain”. This article offers a field guide to explore the space of explainable deep learning for those in the AI/ML field who are uninitiated. The field guide: i) Introduces three simple dimensions defining the space of foundational methods that contribute to explainable deep learning, ii) discusses the evaluations for model explanations, iii) places explainability in the context of other related deep learning research areas, and iv) discusses user-oriented explanation design and future directions. We hope the guide is seen as a starting point for those embarking on this research field

ODA Case Presentation

Advocated for patients experiencing pembrolizumab induced lobular panniculitis and fulvestrant lump

Secretary of Interior v. California: Should Continental Shelf Lease Sales Be Subject to Consistency Review

Outer continental shelf oil and gas resource development has generated a great deal of conflict between the federal and state governments. The outer continental shelf (OCS) consists of submerged land lying beyond the three-mile limit of the coastal zone of states bordering the Atlantic and Pacific Oceans. While the coastal zone is under state jurisdiction, the OCS is under the jurisdiction of the federal government The Department of the Interior (Interior) is authorized to lease tracts on the OCS to industry for the development of oil and gas resources and to regulate such activity

Genetic Targeting of Adult Renshaw Cells Using a Calbindin 1 Destabilized Cre Allele for Intersection With Parvalbumin or Engrailed1

Renshaw cells (RCs) are one of the most studied spinal interneurons; however, their roles in motor control remain enigmatic in part due to the lack of experimental models to interfere with RC function, specifically in adults. To overcome this limitation, we leveraged the distinct temporal regulation of Calbindin (Calb1) expression in RCs to create genetic models for timed RC manipulation. We used a Calb1 allele expressing a destabilized Cre (dgCre) theoretically active only upon trimethoprim (TMP) administration. TMP timing and dose influenced RC targeting efficiency, which was highest within the first three postnatal weeks, but specificity was low with many other spinal neurons also targeted. In addition, dgCre showed TMP-independent activity resulting in spontaneous recombination events that accumulated with age. Combining Calb1-dgCre with Parvalbumin (Pvalb) or Engrailed1 (En1) Flpo alleles in dual conditional systems increased cellular and timing specificity. Under optimal conditions, Calb1-dgCre/Pvalb-Flpo mice targeted 90% of RCs and few dorsal horn neurons; Calb1-dgCre/En1-Flpo mice showed higher specificity, but only a maximum of 70% of RCs targeted. Both models targeted neurons throughout the brain. Restricted spinal expression was obtained by injecting intraspinally AAVs carrying dual conditional genes. These results describe the first models to genetically target RCs bypassing development

Introduction to the Special Issue on Cannabis Policy in the United States: Challenges and Opportunities for Public Administration and Policy

The state-legal cannabis industry has grown rapidly over the last few years. The decline of cannabis prohibition enforcement by the federal government and the adoption of medical and adult-use programs in the states have pushed the logic of prohibition to the brink. Even so, the legacy of federal and state prohibition looms over nearly every move that those in industry and policy administration make. Retail sales of medical and recreational cannabis were expected to reach $33 billion in 2022 and is projected to reach over$50 billion by 2026 (Editors 2022). Seemingly impervious to the COVID-19 pandemic, the cannabis market in the United States grew by 51% in 2022 (Fortune Business Insights 2021). In fact, the pandemic helped to accelerate cannabis access as many states largely deemed the product to be an essential service, ushering in expanded online ordering, pickup, and delivery of product. While only 23 percent of the U.S. population lives in a state without comprehensive medical or recreational marijuana, many of those live close enough to a bordering state-legal program. With cannabis remaining under federal prohibition, however, the states, the industry, and consumers face a variety of ongoing challenge

Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure

Heart failure occurs when the heart is not able to pump blood and oxygen to support other organs in the body as it should. Treatments include medications and sometimes hospitalization. Patients with heart failure can have both cardiovascular as well as non-cardiovascular comorbidities. Clinical notes of patients with heart failure can be analyzed to gain insight into the topics discussed in these notes and the major comorbidities in these patients. In this regard, we apply machine learning techniques, such as topic modeling, to identify the major themes found in the clinical notes specific to the procedures performed on 1,200 patients admitted for heart failure at the University of Illinois Hospital and Health Sciences System (UI Health). Topic modeling revealed five hidden themes in these clinical notes, including one related to heart disease comorbidities