Klondike-Arabia Mountain Local Historic District

Prepared by the Spring 2016 Preservation Planning Class. The proposed Klondike-Arabia Mountain Local Historic District encompasses not just the mountain, but many unique natural and historic resources that are virtually non-existent anywhere else in DeKalb County. The Guidelines are designed to assist the Historic Preservation Commission and property owners on the treatment of historic properties within the district, and based on the Secretary of the Interior\u27s Standards for the Treatment of Historic Propertieshttps://scholarworks.gsu.edu/history_heritagepreservation/1021/thumbnail.jp

Exploring low-energy neutrino physics with the Coherent Neutrino Nucleus Interaction Experiment

The Coherent Neutrino-Nucleus Interaction Experiment (CONNIE) uses low-noise fully depleted charge-coupled devices (CCDs) with the goal of measuring low-energy recoils from coherent elastic scattering ( CE ν NS ) of reactor antineutrinos with silicon nuclei and testing nonstandard neutrino interactions (NSI). We report here the first results of the detector array deployed in 2016, considering an active mass 47.6 g (eight CCDs), which is operating at a distance of 30 m from the core of the Angra 2 nuclear reactor, with a thermal power of 3.8 GW. A search for neutrino events is performed by comparing data collected with the reactor on (2.1 kg-day) and reactor off (1.6 kg-day). The results show no excess in the reactor-on data, reaching the world record sensitivity down to recoil energies of about 1 keV (0.1 keV electron equivalent). A 95% confidence level limit for new physics is established at an event rate of 40 times the one expected from the standard model at this energy scale. The results presented here provide a new window to low-energy neutrino physics, allowing one to explore for the first time the energies accessible through the low threshold of CCDs. They will lead to new constraints on NSI from the CEνNS of antineutrinos from nuclear reactors.Fil: Aguilar Arevalo, Alexis. Universidad Nacional Autónoma de México; MéxicoFil: Bertou, Xavier Pierre Louis. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Universidad Nacional de Cuyo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; ArgentinaFil: Bonifazi, Carla Brenda. Universidade Federal do Rio de Janeiro; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cancelo, Gustavo Indalecio. Fermi National Accelerator Laboratory; Estados UnidosFil: Castañeda, Alejandro. Universidad Nacional Autónoma de México; MéxicoFil: Cervantes Vergara, Brenda. Universidad Nacional Autónoma de México; MéxicoFil: Chavez, Claudio. Universidad Nacional de Asunción; ParaguayFil: D’Olivo, Juan C.. Universidad Nacional Autónoma de México; MéxicoFil: Dos Anjos, João C.. Centro Brasileiro de Pesquisas Físicas; BrasilFil: Estrada, Juan. Fermi National Accelerator Laboratory; Estados UnidosFil: Fernandes Neto, Aldo R.. Centro Federal de Educacão Tecnológica Celso Suckow Da Fonseca; BrasilFil: Fernández Moroni, Guillermo. Fermi National Accelerator Laboratory; Estados Unidos. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Foguel, Ana. Universidade Federal do Rio de Janeiro; BrasilFil: Ford, Richard. Fermi National Accelerator Laboratory; Estados UnidosFil: Gonzalez Cuevas, Juan. Universidad Nacional de Asunción; ParaguayFil: Hernández, Pamela. Universidad Nacional Autónoma de México; MéxicoFil: Hernandez, Susana. Fermi National Accelerator Laboratory; Estados UnidosFil: Izraelevitch, Federico Hernán. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de San Martín; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Kavner, Alexander R.. University of Michigan; Estados UnidosFil: Kilminster, Ben. Universitat Zurich; SuizaFil: Kuk, Kevin. Fermi National Accelerator Laboratory; Estados UnidosFil: Lima, H.P.. Centro Brasileiro de Pesquisas Físicas; BrasilFil: Makler, Martín. Centro Brasileiro de Pesquisas Físicas; BrasilFil: Molina, Jorge. Universidad Nacional de Asunción; ParaguayFil: Mota, Philipe. Centro Brasileiro de Pesquisas Físicas; BrasilFil: Nasteva, Irina. Universidade Federal do Rio de Janeiro; BrasilFil: Paolini, Eduardo Emilio. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaFil: Romero, Carlos. Universidad Nacional de Asunción; ParaguayFil: Sarkis, Y.. Universidad Nacional Autónoma de México; MéxicoFil: Sofo Haro, Miguel Francisco. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional de Cuyo; Argentina. Fermi National Accelerator Laboratory; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnol.conicet - Patagonia Norte. Unidad de Adm.territorial; ArgentinaFil: Souza, Iruatã M. S.. Centro Brasileiro de Pesquisas Físicas; BrasilFil: Tiffenberg, Javier Sebastian. Fermi National Accelerator Laboratory; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Wagner, Stefan. Centro Brasileiro de Pesquisas Físicas; Brasil. Pontifícia Universidade Católica do Rio de Janeiro; Brasi

Search for coherent elastic neutrino-nucleus scattering at a nuclear reactor with CONNIE 2019 data

The Coherent Neutrino-Nucleus Interaction Experiment (CONNIE) is taking data at the Angra 2 nuclear reactor with the aim of detecting the coherent elastic scattering of reactor antineutrinos with silicon nuclei using charge-coupled devices (CCDs). In 2019 the experiment operated with a hardware binning applied to the readout stage, leading to lower levels of readout noise and improving the detection threshold down to 50 eV. The results of the analysis of 2019 data are reported here, corresponding to the detector array of 8 CCDs with a fiducial mass of 36.2 g and a total exposure of 2.2 kg-days. The difference between the reactor-on and reactor-off spectra shows no excess at low energies and yields upper limits at 95% confidence level for the neutrino interaction rates. In the lowest-energy range, 50-180 eV, the expected limit stands at 34 (39) times the standard model prediction, while the observed limit is 66 (75) times the standard model prediction with Sarkis (Chavarria) quenching factors.Comment: 23 pages, 14 figure

Plasma inflammation‐related biomarkers are associated with intrinsic capacity in community‐dwelling older adults

Abstract Background How inflammation relates to intrinsic capacity (IC), the composite of physical and mental capacities, remains undefined. Our study aimed to investigate the cross‐sectional and longitudinal associations between plasma inflammation‐related biomarkers and IC in older adults. Methods This secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT) included 1238 community‐dwelling older individuals with IC assessments from 12 to 60 months. Plasma C‐reactive protein (CRP), interleukin‐6 (IL‐6), tumour necrosis factor receptor‐1 (TNFR‐1), monocyte chemoattractant protein‐1 (MCP‐1) and growth differentiation factor‐15 (GDF‐15) were measured at 12 months. IC was operationalized as a score ranging from 0 to 100, derived from four domains: cognition, Mini‐Mental State Examination; locomotion, Short Physical Performance Battery; psychological, Geriatric Depression Scale; and vitality, handgrip strength. A five‐domain IC score (plus sensory) was investigated in a subsample (n = 535) with a 1‐year follow‐up as an exploratory outcome. Results The mean age of the 1238 participants was 76.2 years (SD = 4.3); 63.7% were female. Their initial four‐domain IC scores averaged 78.9 points (SD = 9.3), with a yearly decline of 1.17 points (95% CI = −1.30 to −1.05; P < 0.001). We observed significant associations of lower baseline IC with higher CRP, IL‐6, TNFR‐1 and GDF‐15, after controlling age, sex, MAPT group allocation and educational level [CRP: adjusted β (95% CI) = −1.56 (−2.64 to −0.48); P = 0.005; IL‐6: adjusted β = −3.16 (−4.82 to −1.50); P < 0.001; TNFR‐1: adjusted β = −6.86 (−10.25 to −3.47); P < 0.001; GDF‐15: adjusted β = −7.07 (−10.02 to −4.12); P < 0.001]. Higher TNFR‐1, MCP‐1 and GDF‐15 were associated with faster decline in four‐domain IC over 4 years [TNFR‐1: adjusted β (95% CI) = −1.28 (−2.29 to −0.27); P = 0.013; MCP‐1: adjusted β = −1.33 (−2.24 to −0.42); P = 0.004; GDF‐15: adjusted β = −1.42 (−2.26 to −0.58); P = 0.001]. None of the biomarkers was significantly associated with the five‐domain IC decline. Conclusions Inflammation was associated with lower IC in older adults. Among all plasma biomarkers, TNFR‐1 and GDF‐15 were consistently associated with IC at the cross‐sectional and longitudinal levels

Survey of physicians' practices in the control of cardiovascular risk factors: the EURIKA study

Objectives: To assess the practices of physicians in 12 European countries in the primary prevention of cardiovascular disease (CVD). Methods: In 2009, 806 physicians from 12 European countries answered a questionnaire, delivered electronically or by post, regarding their assessment of patients with cardiovascular risk factors, and their use of risk calculation tools and clinical practice guidelines (ClinicalTrials.gov number: NCT00882336). Approximately 60 physicians per country were selected (participation rate varied between 3.1% in Sweden and 22.8% in Turkey). Results: Among participating physicians, 85.2% reported using at least one clinical guideline for CVD prevention. The most popular were the ESC guidelines (55.1%). Reasons for not using guidelines included: the wide choice available (47.1%), time constraints (33.3%), lack of awareness of guidelines (27.5%), and perception that guidelines are unrealistic (23.5%). Among all physicians, 68.5% reported using global risk calculation tools. Written charts were the preferred method (69.4%) and the most commonly used was the SCORE equation (35.4%). Reasons for not using equations included time constraints (59.8%), not being convinced of their usefulness (21.7%) and lack of awareness (19.7%). Most physicians (70.8%) believed that global risk-equations have limitations; 89.8% that equations overlook important risk factors, and 66.5% that they could not be used in elderly patients. Only 46.4% of physicians stated that their local healthcare framework was sufficient for primary prevention of CVD, while 67.2% stated that it was sufficient for secondary prevention of CVD. Conclusions: A high proportion of physicians reported using clinical guidelines for primary CVD prevention. However, time constraints, lack of perceived usefulness and inadequate knowledge were common reasons for not using CVD prevention guidelines or global CVD risk assessment tools

Towards a Large-Scale Assessment of the Relationship Between Biological and Chronological Aging: The Inspire Mouse Cohort

International audienceAging is the major risk factor for the development of chronic diseases. After decades of research focused on extending lifespan, current efforts seek primarily to promote healthy aging. Recent advances suggest that biological processes linked to aging are more reliable than chronological age to account for an individual's functional status, i.e. frail or robust. It is becoming increasingly apparent that biological aging may be detectable as a progressive loss of resilience much earlier than the appearance of clinical signs of frailty. In this context, the INSPIRE program was built to identify the mechanisms of accelerated aging and the early biological signs predicting frailty and pathological aging. To address this issue, we designed a cohort of outbred SWISS mice (1576 male and female mice) in which we will continuously monitor spontaneous and voluntary physical activity from 6 to 24 months of age under either normal or high fat/high sucrose diet. At different age points (6, 12, 18, 24 months), multiorgan functional phenotyping will be carried out to identify early signs of organ dysfunction and generate a large biological fluids/feces/organs biobank (100,000 samples). A comprehensive correlation between functional and biological phenotypes will be assessed to determine: 1) the early signs of biological aging and their relationship with chronological age; 2) the role of dietary and exercise interventions on accelerating or decelerating the rate of biological aging; and 3) novel targets for the promotion of healthy aging. All the functional and omics data, as well as the biobank generated in the framework of the INSPIRE cohort will be available to the aging scientific community. The present article describes the scientific background and the strategies employed for the design of the INSPIRE Mouse cohort