Rising Food Insecurity and Conservative Policy in the US: Impact on the Elderly

Food insecurity, a critical problem in the developing world, has recently received increased attention among wealthy nations. Food insecurity, broadly defined, is when a lack of resources prevents household members from having enough food. In the US, food insecurity has been rising while social safety net programs to ameliorate hunger among at-risk households have been targeted for cuts by conservatives. Our main objective was to assess the prevalence and impact of food insecurity among the elderly. In a survey of 500 older, homebound meal clients in New York City, we found that nearly one in five (17%) is food insecure, 89% endure chronic health problems, 14% live with severe functional impairments, 38% are in declining health, and 10% experience unmet needs for services. New York City’s oldest community residents have serious health problems, multiple unmet social service needs, and often suffer from food insecurity. Understanding the relationship between these issues is critical if community organizations and government agencies at all levels—even in wealthy countries—are to be more effective in assuring the well being of their oldest residents

Underwriting environmental risk : an analysis of current practices among lending institutions

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 1998.Includes bibliographical references (leaves 64-68).The purpose of this thesis is to investigate how banks and other lending institutions approach environmental risk management -- how they evaluate, screen and provide for environmental risks in loan structuring and documenting loans. The intent of this investigation is to identify and assess differences in lending policies, practices, and pricing techniques among various lending institutions. This thesis will also examine how, via their lending policies and practices, lenders can encourage sustainable development, brownfield redevelopment, and ecologically responsible technologies in property development. This thesis proposes that there are three fundamental types of environmental risk. The first type is the actual or perceived contamination of the property that directly impairs the underlying asset value. This is the most easily understood type of environmental risk and can be assessed during the due diligence period before the transaction of the property. After contamination, the second risk affecting collateral value may occur from subsequent restrictions on property use, or in the processes or materials employed by the business operating on the property. The Environmental Protection Agency (EPA) can impose deed or other restrictions on the use of a property because of potential environmental contamination or other environmental hazards. Such limitations against the "highest and best use" could substantially diminish the potential revenue of a property and consequentially commercial property values. In this scenario, the real asset is unaffected, but a company's credit worthiness may suffer. The third type of environmental risk to a business is a possible change in consumer preferences or demands for eco-friendly products. In an extreme case, consumers could boycott environmentally damaging products, or possibly the firms that manufacture them. Again, losses in revenue may constrain a company's ability to satisfy loan payments. This thesis seeks to investigate how the three forms of environmental risk are factored into loan pricing and how banks evaluate information regarding environmental policies and consumer demands when determining corporate revenues and property values. In addition, the paper will study some of the lending institutions' due diligence and loan evaluation procedures when assessing these environmental risks.by Stephan J. Russo.S.M

Rising Food Insecurity and Conservative Policy in the US: Impact on the Elderly

Food insecurity, a critical problem in the developing world, has recently received increased attention among wealthy nations. Food insecurity, broadly defined, is when a lack of resources prevents household members from having enough food. In the US, food insecurity has been rising while social safety net programs to ameliorate hunger among at-risk households have been targeted for cuts by conservatives. Our main objective was to assess the prevalence and impact of food insecurity among the elderly. In a survey of 500 older, homebound meal clients in New York City, we found that nearly one in five (17%) is food insecure, 89% endure chronic health problems, 14% live with severe functional impairments, 38% are in declining health, and 10% experience unmet needs for services. New York City’s oldest community residents have serious health problems, multiple unmet social service needs, and often suffer from food insecurity. Understanding the relationship between these issues is critical if community organizations and government agencies at all levels—even in wealthy countries—are to be more effective in assuring the well being of their oldest residents

Sensitivity studies with the regional climate model COSMO-CLM 5.0 over the CORDEX Central Asia Domain

Due to its extension, geography and the presence of several underdeveloped or developing economies, the Central Asia domain of the Coordinated Regional Climate Downscaling Experiment (CORDEX) is one of the most vulnerable regions on Earth to the effects of climate changes. Reliable information on potential future changes with high spatial resolution acquire significant importance for the development of effective adaptation and mitigation strategies for the region. In this context, regional climate models (RCMs) play a fundamental role. In this paper, the results of a set of sensitivity experiments with the regional climate model COSMO-CLM version 5.0, for the Central Asia CORDEX domain, are presented. Starting from a reference model setup, general model performance is evaluated for the present day, testing the effects of singular changes in the model physical configuration and their mutual interaction with the simulation of monthly and seasonal values of three variables that are important for impact studies: near-surface temperature, precipitation and diurnal temperature range. The final goal of this study is two-fold: having a general overview of model performance and its uncertainties for the considered region and determining at the same time an optimal model configuration. Results show that the model presents remarkable deficiencies over different areas of the domain. The combined change of the albedo, taking into consideration the ratio of forest fractions, and the soil conductivity, taking into account the ratio of liquid water and ice in the soil, allows one to achieve the best improvements in model performance in terms of climatological means. Importantly, the model seems to be particularly sensitive to those parameterizations that deal with soil and surface features, and that could positively affect the repartition of incoming radiation. The analyses also show that improvements in model performance are not achievable for all domain subregions and variables, and they are the result of a compensation effect in the different cases. The proposed better performing configuration in terms of mean climate leads to similar positive improvements when considering different observational data sets and boundary data employed to force the simulations. On the other hand, due to the large uncertainties in the variability estimates from observations, the use of different boundaries and the model internal variability, it has not been possible to rank the different simulations according to their representation of the monthly variability. This work is the first ever sensitivity study of an RCM for the CORDEX Central Asia domain and its results are of fundamental importance for further model development and for future climate projections over the area

Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation

Quantum Volume is a full-stack benchmark for near-term quantum computers. It quantifies the largest size of a square circuit which can be executed on the target device with reasonable fidelity. Error mitigation is a set of techniques intended to remove the effects of noise present in the computation of noisy quantum computers when computing an expectation value of interest. Effective quantum volume is a proposed metric that applies error mitigation to the quantum volume protocol in order to evaluate the effectiveness not only of the target device but also of the error mitigation algorithm. Digital Zero-Noise Extrapolation (ZNE) is an error mitigation technique that estimates the noiseless expectation value using circuit folding to amplify errors by known scale factors and extrapolating to the zero-noise limit. Here we demonstrate that ZNE, with global and local unitary folding with fractional scale factors, in conjunction with dynamical decoupling, can increase the effective quantum volume over the vendor-measured quantum volume. Specifically, we measure the effective quantum volume of four IBM Quantum superconducting processor units, obtaining values that are larger than the vendor-measured quantum volume on each device. This is the first such increase reported

Rising Food Insecurity and Conservative Policy in the US: Impact on the Elderly

Food insecurity, a critical problem in the developing world, has recently received increased attention among wealthy nations. Food insecurity, broadly defined, is when a lack of resources prevents household members from having enough food. In the US, food insecurity has been rising while social safety net programs to ameliorate hunger among at-risk households have been targeted for cuts by conservatives. Our main objective was to assess the prevalence and impact of food insecurity among the elderly. In a survey of 500 older, homebound meal clients in New York City, we found that nearly one in five (17%) is food insecure, 89% endure chronic health problems, 14% live with severe functional impairments, 38% are in declining health, and 10% experience unmet needs for services. New York City’s oldest community residents have serious health problems, multiple unmet social service needs, and often suffer from food insecurity. Understanding the relationship between these issues is critical if community organizations and government agencies at all levels—even in wealthy countries—are to be more effective in assuring the well being of their oldest residents

Spatial proteomics finds CD155 and Endophilin-A1 as mediators of growth and invasion in medulloblastoma

The composition of the plasma membrane (PM)-associated proteome of tumor cells determines cell-cell and cell-matrix interactions and the response to environmental cues. Whether the PM-associated proteome impacts the phenotype of Medulloblastoma (MB) tumor cells and how it adapts in response to growth factor cues is poorly understood. Using a spatial proteomics approach, we observed that hepatocyte growth factor (HGF)-induced activation of the receptor tyrosine kinase c-MET in MB cells changes the abundance of transmembrane and membrane-associated proteins. The depletion of MAP4K4, a pro-migratory effector kinase downstream of c-MET, leads to a specific decrease of the adhesion and immunomodulatory receptor CD155 and of components of the fast-endophilin-mediated endocytosis (FEME) machinery in the PM-associated proteome of HGF-activated MB cells. The decreased surface expression of CD155 or of the fast-endophilin-mediated endocytosis effector endophilin-A1 reduces growth and invasiveness of MB tumor cells in the tissue context. These data thus describe a novel function of MAP4K4 in the control of the PM-associated proteome of tumor cells and identified two downstream effector mechanisms controlling proliferation and invasiveness of MB cells

COMT Val(158)Met genotypes differentially influence subgenual cingulate functional connectivity in healthy females

Brain imaging studies have cons stently shown subgenual Anterior Cingulate Cortical (sgACC) involvement in emotion processing. catechol-O-methyltransferase (COMT) Val(158) and Met(158) polymorphisms may influence such emotional brain processes in specific ways. Given that resting-state fMRI (rsfMRI) may increase our understanding on brain functioning, we integrated genetic and rsfMRI data and focused on sgACC functional connections. No studies have yet investigated the influence of the COMT Val(158)Met polymorphism (rs4680) on sgACC resting-state functional connectivity (rsFC) in healthy individuals. A homogeneous group of 61 Caucasian right-handed healthy female university students, all within the same age range, underwent isfMRI. Compared to Met158 homozygotes, Val(158) allele carriers displayed significantly stronger rsFC between the sgACC and the left parahippocampal gyrus, ventromedial parts of the inferior frontal gyrus (IFG), and the nucleus accumbens (NAc). On the other hand, compared to Val(158) homozygotes, we found in Met(158) allele carriers stronger sgACC rsFC with the medial frontal gyrus (MEG), more in particular the anterior parts of the medial orbitofrontal cortex. Although we did not use emotional or cognitive tasks, our sgACC rsFC results point to possible distinct differences in emotional and cognitive processes between Val(158) and Met(158) allele carriers. Hovvever, the exact nature of these directions remains to be determined

Developing Recombinant Antibodies by Phage Display Against Infectious Diseases and Toxins for Diagnostics and Therapy

Antibodies are essential molecules for diagnosis and treatment of diseases caused by pathogens and their toxins. Antibodies were integrated in our medical repertoire against infectious diseases more than hundred years ago by using animal sera to treat tetanus and diphtheria. In these days, most developed therapeutic antibodies target cancer or autoimmune diseases. The COVID-19 pandemic was a reminder about the importance of antibodies for therapy against infectious diseases. While monoclonal antibodies could be generated by hybridoma technology since the 70ies of the former century, nowadays antibody phage display, among other display technologies, is robustly established to discover new human monoclonal antibodies. Phage display is an in vitro technology which confers the potential for generating antibodies from universal libraries against any conceivable molecule of sufficient size and omits the limitations of the immune systems. If convalescent patients or immunized/infected animals are available, it is possible to construct immune phage display libraries to select in vivo affinity-matured antibodies. A further advantage is the availability of the DNA sequence encoding the phage displayed antibody fragment, which is packaged in the phage particles. Therefore, the selected antibody fragments can be rapidly further engineered in any needed antibody format according to the requirements of the final application. In this review, we present an overview of phage display derived recombinant antibodies against bacterial, viral and eukaryotic pathogens, as well as microbial toxins, intended for diagnostic and therapeutic applications