London : printed for J. Callow, 1814.

London : H. Renshaw, 1898.

London : Bailliere, Tindall and Cox, 1910.

Madras : printed by C. Foster, 1876.

Bruxelles : Etablissement Encyclographique, 1833-46.

London : printed for the author, 1832.

London : Bailliere, Tindall and Cox, 1884.

Goettingae : Litteris Ioann. Christ. Dieterich, Acad. Typogr, [1781]

Londres : Paris, 1866.

Paris : Ancelle, 1812.

[19--?]

Leith, 2019

Rockville, Maryland : National Institute on Drug Abuse, 1995.

Rockville, Maryland : National Institute on Drug Abuse, 1980.

Rockville, Maryland : National Institute on Drug Abuse, 1978.

The next seminar in the 2017–18 History of Pre-Modern Medicine seminar series takes place on Tuesday 13 February. Speaker: Dr William Tullett (Institute of Historical Research, University of London) Smell and medical efficacy in 18th-century England Abstract: In recent years a growing scholarship… Continue reading

Li Zhu, Zhiguang Huo, Tianzhou Ma, Steffi Oesterreich, George C. Tseng.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2611--2636.

Abstract:
Variable selection is a pervasive problem in modern high-dimensional data analysis where the number of features often exceeds the sample size (a.k.a. small-n-large-p problem). Incorporation of group structure knowledge to improve variable selection has been widely studied. Here, we consider prior knowledge of a hierarchical overlapping group structure to improve variable selection in regression setting. In genomics applications, for instance, a biological pathway contains tens to hundreds of genes and a gene can be mapped to multiple experimentally measured features (such as its mRNA expression, copy number variation and methylation levels of possibly multiple sites). In addition to the hierarchical structure, the groups at the same level may overlap (e.g., two pathways can share common genes). Incorporating such hierarchical overlapping groups in traditional penalized regression setting remains a difficult optimization problem. Alternatively, we propose a Bayesian indicator model that can elegantly serve the purpose. We evaluate the model in simulations and two breast cancer examples, and demonstrate its superior performance over existing models. The result not only enhances prediction accuracy but also improves variable selection and model interpretation that lead to deeper biological insight of the disease.

The new style is available to shop today.

Jasper Akerboom
Oct 3, 2012; 32:13819-13840
Cellular

Jasper Akerboom
Oct 3, 2012; 32:13819-13840
Cellular

Eradicating hunger must be accompanied by strenuous efforts to end malnutrition and its devastating effects. That was a pivotal message at the launch of FAO’s key publication The State of Food and Agriculture, which this year focuses on Food systems for better nutrition. “FAO’s message is that we must strive for nothing less than the eradication of hunger and malnutrition,” said Director-General [...]

Global food security largely depends on smallholder family farms where in many regions of the world women play a crucial role as both producers and providers of food. Studies show that when women and other rural poor have better access to resources, the benefits are far-reaching. Families are healthier, more children attend school, agricultural productivity improves, incomes increase, and rural communities [...]

Four years into the 2030 Agenda and there is a pressing need to understand where the world stands in eradicating hunger and food insecurity, as well as ensuring sustainable [...]

Since the adoption of the 2030 Agenda, FAO has produced a wealth of materials aimed at promoting knowledge and understanding related to the SDG Indicators under FAO custodianship.

As the custodian [...]

The bright blue pigment that adorns the Bust of Nefertiti’s crown can now be used to study molecular biology

<span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">RT @imconair: Hrithik Roshan still under medication http://bit.ly/gFyC3O #IMCRadio.net</span></span>

Graduation is on hold for Dalhousie University medical student Manveer Bal, so he's decided to spend his newfound free time volunteering at the epicentre of the COVID-19 outbreak in Nova Scotia.

US dollar credit to non-bank borrowers outside the United States grew by 4% year on year at end-June 2019, to reach $11.9 trillion. Foreign currency credit denominated in euros and Japanese yen continued to expand at a faster pace than that in US dollars, growing at annual rates of 9% and 8%, respectively. US dollar credit to emerging market and developing economies (EMDEs) grew at an annual rate of 2% (to reach $3.7 trillion), though growth varied substantially across regions.

US dollar credit to non-bank borrowers outside the United States grew by 5% year on year at end-September 2019, to reach $12.1 trillion. Euro-denominated credit outside the euro area continued to expand at a fast pace (9%). In contrast, the growth rate of yen-denominated credit outside Japan fell to 1%. Strong debt securities issuance drove expansions in US dollar and euro credit to emerging market and developing economies (EMDEs). US dollar credit to EMDEs grew at an annual rate of 3% (to reach $3.8 trillion); euro credit to EMDEs expanded by 9% (to reach €0.7 trillion).

US dollar credit to non-bank borrowers outside the United States grew by 6% in 2019, to reach $12.2 trillion at end-2019. The annual growth rate of euro-denominated credit outside the euro area slowed to 6%, while that of yen-denominated credit outside Japan turned negative (-1%). In 2019, euro-denominated credit overtook US dollar-denominated credit as the largest stock of foreign currency credit to emerging Europe. The debt securities share in US dollar credit outside the United States has risen considerably over the past decade across a number of major borrowing regions.

The term global liquidity is used by the BIS to mean the ease of financing in global financial markets. Credit is among the key indicators of global liquidity, and is the focus of the quarterly indicators estimated by the BIS.

A Quebec-born Super Bowl champion is making the move from the offensive line to the medical front line.

Bryan Reid is known for building custom log homes on his HGTV reality show Timber Kings, and he’s also in the business of pulp — cedar pulp used to make medical garments,an effort critical during the COVID-19 pandemic.

The sport is considering radical rule changes as it tries to balance centuries of tradition with the modern need to move things along.

The post Build the Future of Medical Care with SOLIDWORKS xDesign appeared first on SOLIDWORKS Education Blog.

As college campuses closed and the COVID-19 virus began casting a larger shadow in south central Pennsylvania, members of the nursing and physical therapist assistant programs at Penn State Mont Alto took stock of all the medical personal protection equipment (PPE) items in their labs. The two programs were supplied with hundreds of gloves and dozens of medical gowns and masks, plus other items such as disposable stethoscopes, shoe covers and safety glasses — items no longer needed as the campus transitioned to remote instruction.

Apple's latest iOS 13.5 beta release includes a new Health app feature that allows iPhone and Apple Watch users to automatically send Medical ID information to first responders.

When specific medicine is not available during a medical outreach, OM Guatemala sees God miraculously provide for one mother in need.

A team of volunteers and doctors attended to over 300 people in a town almost destroyed by an earthquake in 2007.

OBJECTIVES:

Our goals for this study were to characterize the frequency of agitation in patients with autism spectrum disorder (ASD) admitted to an inpatient pediatric medical unit and to identify risk factors associated with agitation.

BACKGROUND AND OBJECTIVES:

Guidelines suggest young children with autism spectrum disorder (ASD) receive intensive nonpharmacologic interventions. Additionally, associated symptoms may be treated with psychotropic medications. Actual intervention use by young children has not been well characterized. Our aim in this study was to describe interventions received by young children (3–6 years old) with ASD. The association with sociodemographic factors was also explored.