Imaging in the Khmer’s Land: Cambodia Country Report

Cambodia is located in Southeast Asia on the Indochina Peninsula and borders Vietnam, Laos, Thailand and the Gulf of Thailand (Figure 1). With a total area of 69,898 square miles and population of 15,458,332, Cambodia’s population density has steadily increased since 1980. The country’s annual rate of urbanization is 2.65 %. As of 2014, 20.5% of the population lives in an urban setting. The estimated population growth rate is 1.63% (1). The capital of Cambodia is Phnom Penh, which is located in the southern part of the country. Other major cities include Battambang and Siem Reap, both of which have populations over 150,000. There are officially 24 provinces and one municipality (Phnom Penh). However, many consider Phnom Penh to be its own province. As a result, some research puts the number of Cambodian provinces at 25. The climate is tropical with two seasons: monsoon season (May to November) and dry season (December to April). Temperatures range from approximately 70 to 95°F. Cambodia’s economy largely depends on the garment industry, tourism, construction, real estate and agriculture. Cambodia gained independence from France in 1953 and was first ruled by a constitutional monarchy under King Norodom Sihanouk. After a five-year struggle starting in 1970, the Khmer Rouge captured Phnom Penh in 1975. Pol Pot, the leader of the Khmer Rouge, oversaw a brutal regime that, through executions and forced labor, was responsible for the deaths of at least 1.5 million Cambodians. The Vietnamese drove out the Khmer Rouge in 1979. After years of Vietnamese occupation, the 1991 Paris Peace Accords established a ceasefire and a democratic framework for the country. By 1993 elections established a new coalition government; yet, political instability and violence persisted throughout the 1990s. Cambodia most recently held elections in 2013, as a multiparty democracy under a constitutional monarchy. The devastation caused by the Khmer Rouge has had long-lasting negative effects on Cambodia’s political and economic systems, as well as to its infrastructure, and public health. Despite this, Cambodia has made measurable improvements. At the end of Khmer Rouge rule in 1980, life expectancy was 30 years (1). Political stabilization, economic improvement and a growing healthcare system improved the life expectancy to 63.78 years by 2015 (2). The physician density remains low, at 0.17 physicians per 1,000 people (2). As of 2012, there were eight national hospitals and three levels of referral hospitals in the public sector. Referral hospitals are categorized by three levels of Complementary Package of Activity (CPA): 1) CPA-1 hospitals do not perform surgery; 2) CPA-2 hospitals perform surgeries but with more limited specialized services; and 3) CPA-3 hospitals perform surgery with more specialized services. There are 26 CPA-3 hospitals in Cambodia (3). As of 2011 there were 2,391 doctors, 8,433 nurses and 3,748 midwives (3). There are also NGOs that run hospitals throughout Cambodia, as well as private sector health care facilities

Diagnostic Radiology in Liberia: A Country Report

Liberia is a tropical country located south of the Sahara Desert in coastal West Africa. It lies at 6 °30’ North Latitude and 9° 30’ West Longitude and is bordered by Guinea, Cote d’Ivoire, Sierra Leone and the Atlantic Ocean. Liberia has three distinct topographical areas: 1) coastal plain, creeks, lagoons and mangrove swamps; 2) rolling, forested hills with elevations up to 500 feet that cover most of the country; and 3) low mountains and plateaus in the Northern highlands with elevations reaching 4,748 feet (Nimba Mountains). Liberia is home to approximately four million people and is roughly the size of the US state of Tennessee. Named after former US President James Monroe, Liberia’s capital Monrovia is a coastal city with a population of one million (1). There are two major seasons in Liberia: dry and rainy. The dry season occurs between December and March, and is is characterized by warm days and cool nights, with risk of sand storms from the Sahara Desert (2). The rainy season occurs between mid-April and mid-November. The average annual rainfall is 200 inches on the coast and decreases to 80 inches in areas farthest inland, and the average temperature is 27 degrees Celsius (81 degrees Fahrenheit) (1). Liberia is a low-income country that relies heavily on foreign aid (3). Liberia is the seventh poorest nation in the world, ranking 31st among 46 sub-Sarahan African countries in national income. In 2013, Liberia’s per capita GDP was $900 US (3). Liberia’s economy depends heavily on natural resources, with mining and agriculture being the dominant industries. Iron exportation has grown and in 2013 overcame rubber as Liberia’s top export. According to the 2013 Central Bank of Liberia (CBL) Annual Report, iron ore and rubber represent 82% of Liberia’s total exports (4). Civil war destroyed much of Liberia’s economy, including critical infrastructure in and around Monrovia. Although conditions are favorable for agriculture, Liberia does not produce nearly enough food to meet the demands of its population. The country imports large quantities of food, with rice alone accounting for 10% of its overall imports (5)

Association Between Sarcopenia and Functional Status in Liver Transplant Patients

OBJECTIVES: A growing body of evidence shows that frailty and functional performance predict liver transplant outcomes. The Organ Procurement and Transplant Network uses the Karnofsky Performance Status scale to adjust for transplant center case mix in assessing quality measures. This study explores the strength of the relationship between Karnofsky Performance Status scores and objective measures of frailty. MATERIALS AND METHODS: This observational study includes 136 adult, first-time liver transplant recipients at UMass Memorial (2006-2015) who had 2 abdominal computed tomography scans available (at \u3c /= 90 days pretransplant and \u3e /= 7 days before that). We analyzed the relationship between Karnofsky Performance Status and muscle wasting using absolute and change in psoas muscle size and quality pretransplant. RESULTS: The mean age was 55 years, mean Model for End-Stage Liver Disease was 22, and 34% of patients were women. In the study group, 50% of patients had sarcopenia pretransplant and 71.3% demonstrated declined lean psoas area at an average rate of 11% per month. Patients who experienced muscle wasting at a rate of \u3e /= 1% per month had 2.83 times the risk (95% confidence interval, 1.18-6.80) of being severely impaired/disabled pretransplant. The risk increased by 2.32-fold (95% confidence interval, 1.44-3.75) for every standard deviation decrease in pretransplant lean psoas area. CONCLUSIONS: Provider-assessed physical health status moderately correlates with objective measures of frailty

University of Michigan Undergraduate Research Journal, Issue 9, Winter 2012

Articlehttp://deepblue.lib.umich.edu/bitstream/2027.42/97010/1/UMURJ-Issue09_2012.pd

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library

Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July–2017 July). This is the third data release for SDSS-IV, and the 15th from SDSS (Data Release Fifteen; DR15). New data come from MaNGA—we release 4824 data cubes, as well as the first stellar spectra in the MaNGA Stellar Library (MaStar), the first set of survey-supported analysis products (e.g., stellar and gas kinematics, emission-line and other maps) from the MaNGA Data Analysis Pipeline, and a new data visualization and access tool we call "Marvin." The next data release, DR16, will include new data from both APOGEE-2 and eBOSS; those surveys release no new data here, but we document updates and corrections to their data processing pipelines. The release is cumulative; it also includes the most recent reductions and calibrations of all data taken by SDSS since first light. In this paper, we describe the location and format of the data and tools and cite technical references describing how it was obtained and processed. The SDSS website (www.sdss.org) has also been updated, providing links to data downloads, tutorials, and examples of data use. Although SDSS-IV will continue to collect astronomical data until 2020, and will be followed by SDSS-V (2020–2025), we end this paper by describing plans to ensure the sustainability of the SDSS data archive for many years beyond the collection of data

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library

Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July–2017 July). This is the third data release for SDSS-IV, and the 15th from SDSS (Data Release Fifteen; DR15). New data come from MaNGA—we release 4824 data cubes, as well as the first stellar spectra in the MaNGA Stellar Library (MaStar), the first set of survey-supported analysis products (e.g., stellar and gas kinematics, emission-line and other maps) from the MaNGA Data Analysis Pipeline, and a new data visualization and access tool we call "Marvin." The next data release, DR16, will include new data from both APOGEE-2 and eBOSS; those surveys release no new data here, but we document updates and corrections to their data processing pipelines. The release is cumulative; it also includes the most recent reductions and calibrations of all data taken by SDSS since first light. In this paper, we describe the location and format of the data and tools and cite technical references describing how it was obtained and processed. The SDSS website (www.sdss.org) has also been updated, providing links to data downloads, tutorials, and examples of data use. Although SDSS-IV will continue to collect astronomical data until 2020, and will be followed by SDSS-V (2020–2025), we end this paper by describing plans to ensure the sustainability of the SDSS data archive for many years beyond the collection of data

Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

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