CEO Religion and Corporate Social Responsibility: A Socio-behavioral Model

Studies linking religion to CSR have produced conflicting findings due to a failure to draw distinctions among religious influences and different CSR practices, and to theorize their connection. Drawing on social identity theory and the theory of planned behavior, we first argue that religion will influence CSR when ethical values from a CEO’s religious social identification resonate with an aspect of CSR. Second, CEO attitudes congruent with those values and forms of CSR—interpersonal empathy and proactiveness—will strengthen that relationship. Third, the relationship between religious social identification and CSR will be strengthened by a CEO’s ability to enact CSR policies, a function of personal and firm market power. Our research on 270 CEOs from 242 publicly traded US firms from 2007 to 2020 supports these relationships

Methane Production in Oxic Lake Waters Potentially Increases Aquatic Methane Flux to Air

Active methane production in oxygenated lake waters challenges the long-standing paradigm that microbial methane production occurs only under anoxic conditions and forces us to rethink the ecology and environmental dynamics of this powerful greenhouse gas. Methane production in the upper oxic water layers places the methane source closer to the air–water interface, where convective mixing and microbubble detrainment can lead to a methane efflux higher than that previously assumed. Microorganisms may produce methane in oxic environments by being equipped with enzymes to counteract the effects of molecular oxygen during methanogenesis or using alternative pathways that do not involve oxygen-sensitive enzymes. As this process appears to be influenced by thermal stratification, water transparency, and primary production, changes in lake ecology due to climate change will alter methane formation in oxic water layers, with far-reaching consequences for methane flux and climate feedback

Graph4Med: a web application and a graph database for visualizing and analyzing medical databases

Background: Medical databases normally contain large amounts of data in a variety of forms. Although they grant significant insights into diagnosis and treatment, implementing data exploration into current medical databases is challenging since these are often based on a relational schema and cannot be used to easily extract information for cohort analysis and visualization. As a consequence, valuable information regarding cohort distribution or patient similarity may be missed. With the rapid advancement of biomedical technologies, new forms of data from methods such as Next Generation Sequencing (NGS) or chromosome microarray (array CGH) are constantly being generated; hence it can be expected that the amount and complexity of medical data will rise and bring relational database systems to a limit. Description: We present Graph4Med, a web application that relies on a graph database obtained by transforming a relational database. Graph4Med provides a straightforward visualization and analysis of a selected patient cohort. Our use case is a database of pediatric Acute Lymphoblastic Leukemia (ALL). Along routine patients’ health records it also contains results of latest technologies such as NGS data. We developed a suitable graph data schema to convert the relational data into a graph data structure and store it in Neo4j. We used NeoDash to build a dashboard for querying and displaying patients’ cohort analysis. This way our tool (1) quickly displays the overview of patients’ cohort information such as distributions of gender, age, mutations (fusions), diagnosis; (2) provides mutation (fusion) based similarity search and display in a maneuverable graph; (3) generates an interactive graph of any selected patient and facilitates the identification of interesting patterns among patients. Conclusion: We demonstrate the feasibility and advantages of a graph database for storing and querying medical databases. Our dashboard allows a fast and interactive analysis and visualization of complex medical data. It is especially useful for patients similarity search based on mutations (fusions), of which vast amounts of data have been generated by NGS in recent years. It can discover relationships and patterns in patients cohorts that are normally hard to grasp. Expanding Graph4Med to more medical databases will bring novel insights into diagnostic and research

Stand-off runaway electron beam termination by tungsten particulates for tokamak disruption mitigation

Stand-off runaway electron termination by injected tungsten particulates offers a plausible option in the toolbox of disruption mitigation. Tungsten is an attractive material choice for this application due to large electron stopping power and high melting point. To assess the feasibility of this scheme, we simulate runaway collisions with tungsten particulates using the MCNP program for incident runaway energies ranging from 1 to 10 MeV. We assess runaway termination from energetics and collisional kinematics perspectives. Energetically, the simulations show that 99% of runaway beam energy is removed by tungsten particulates on a timescale of 4-9 $\mu$s. Kinematically, the simulations show that 99% of runaways are terminated by absorption or backscattering on a timescale of 3-4 $\mu$s. By either metric, the runaway beam is effectively terminated before the onset of particulate melting. Furthermore, the simulations show that secondary radiation emission by tungsten particulates does not significantly impact the runaway termination efficacy of this scheme. Secondary radiation is emitted at lower particle energies than the incident runaways and with a broad angular distribution such that the majority of secondary electrons emitted will not experience efficient runaway re-acceleration. Overall, the stand-off runaway termination scheme is a promising concept for last-ditch runaway mitigation in ITER, SPARC, and other future burning-plasma tokamaks.Comment: Submitted to: Nuclear Fusion - 16 pages (4 supplementary), 11 figures (5 supplementary), 4 table

POLO Kinase Regulates the Drosophila Centromere Cohesion Protein MEI-S332

AbstractAccurate segregation of chromosomes is critical to ensure that each daughter cell receives the full genetic complement. Maintenance of cohesion between sister chromatids, especially at centromeres, is required to segregate chromosomes precisely during mitosis and meiosis. The Drosophila protein MEI-S332, the founding member of a conserved protein family, is essential in meiosis for maintaining cohesion at centromeres until sister chromatids separate at the metaphase II/anaphase II transition. MEI-S332 localizes onto centromeres in prometaphase of mitosis or meiosis I, remaining until sister chromatids segregate. We elucidated a mechanism for controlling release of MEI-S332 from centromeres via phosphorylation by POLO kinase. We demonstrate that POLO antagonizes MEI-S332 cohesive function and that full POLO activity is needed to remove MEI-S332 from centromeres, yet this delocalization is not required for sister chromatid separation. POLO phosphorylates MEI-S332 in vitro, POLO and MEI-S332 bind each other, and mutation of POLO binding sites prevents MEI-S332 dissociation from centromeres

Aerothermodynamic Optimization of Hypersonic Vehicle TPS Design by POD/RSM-Based Approach

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76303/1/AIAA-2006-777-653.pd

Heterogeneous blood-brain barrier dysfunction in cerebral small vessel diseases

INTRODUCTION: We explored how blood-brain barrier (BBB) leakage rate of gadolinium chelates (K trans) and BBB water exchange rate (k w) varied in cerebral small vessel disease (cSVD) subtypes. METHODS: Thirty sporadic cSVD, 40 cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), and 13 high-temperature requirement factor A serine peptidase 1 (HTRA) -related cSVD subjects were investigated parallel to 40 healthy individuals. Subjects underwent clinical, cognitive, and MRI assessment.RESULTS: In CADASIL, no difference in K trans, but lower k w was observed in multiple brain regions. In sporadic cSVD, no difference in k w, but higher K trans was found in the whole brain and normal-appearing white matter. In HTRA1-related cSVD, both higher K trans in the whole brain and lower k w in multiple brain regions were observed. In each patient group, the altered BBB measures were correlated with lesion burden or clinical severity. DISCUSSION: In cSVD subtypes, distinct alterations of k w and K trans were observed. The combination of K trans and k w can depict the heterogeneous BBB dysfunction. HIGHLIGHTS: We measured BBB leakage to gadolinium-based contrast agent (K trans) and water exchange rate (k w) across BBB in three subtypes of cSVD. CADASIL is characterized by lower k w, HTRA1-related cSVD exhibits both higher K trans and lower k w, while sporadic cSVD is distinguished by higher K trans. There are distinct alterations in k w and K trans among subtypes of cSVD, indicating the heterogeneous nature of BBB dysfunction. </p

Glucose-responsive insulin activity by covalent modification with aliphatic phenylboronic acid conjugates

Since its discovery and isolation, exogenous insulin has dramatically changed the outlook for patients with diabetes. However, even when patients strictly follow an insulin regimen, serious complications can result as patients experience both hyperglycemic and hypoglycemic states. Several chemically or genetically modified insulins have been developed that tune the pharmacokinetics of insulin activity for personalized therapy. Here, we demonstrate a strategy for the chemical modification of insulin intended to promote both long-lasting and glucose-responsive activity through the incorporation of an aliphatic domain to facilitate hydrophobic interactions, as well as a phenylboronic acid for glucose sensing. These synthetic insulin derivatives enable rapid reversal of blood glucose in a diabetic mouse model following glucose challenge, with some derivatives responding to repeated glucose challenges over a 13-h period. The best-performing insulin derivative provides glucose control that is superior to native insulin, with responsiveness to glucose challenge improved over a clinically used long-acting insulin derivative. Moreover, continuous glucose monitoring reveals responsiveness matching that of a healthy pancreas. This synthetic approach to insulin modification could afford both long-term and glucose-mediated insulin activity, thereby reducing the number of administrations and improving the fidelity of glycemic control for insulin therapy. The described work is to our knowledge the first demonstration of a glucose-binding modified insulin molecule with glucose-responsive activity verified in vivo.Leona M. and Harry B. Helmsley Charitable Trust (Award 2014PG-T1D002)Tayebati Family FoundationNational Institutes of Health (U.S.) (Ruth L. Kirschstein National Research Service Award F32DK101335)Juvenile Diabetes Research Foundation International (Postdoctoral Fellowship 3-2011-310)Juvenile Diabetes Research Foundation International (Postdoctoral Fellowship 3-2013-56