Violence, mental health and violence risk factors among community women: an epidemiological study based on two national household surveys in the UK

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.MY is funded by the UK National Institute for Health Research (NIHR) and the NHS to the Collaboration Leadership for Applied Health Research (CLAHRC) at University of Nottingham, and China Medical Board at Sichuan University . SW is funded by the NHS at the Institute of Mental Health University of Nottingham. JC is partly funded by the UK NIHR Grant Programme (RP-PG-0609-10107) at Queen Mary University of London

Evaluation of Directive-Based GPU Programming Models on a Block Eigensolver with Consideration of Large Sparse Matrices

Achieving high performance and performance portability for large-scale scientific applications is a major challenge on heterogeneous computing systems such as many-core CPUs and accelerators like GPUs. In this work, we implement a widely used block eigensolver, Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG), using two popular directive based programming models (OpenMP and OpenACC) for GPU-accelerated systems. Our work differs from existing work in that it adopts a holistic approach that optimizes the full solver performance rather than narrowing the problem into small kernels (e.g., SpMM, SpMV). Our LOPBCG GPU implementation achieves a 2.8$${\times }$$–4.3$${\times }$$ speedup over an optimized CPU implementation when tested with four different input matrices. The evaluated configuration compared one Skylake CPU to one Skylake CPU and one NVIDIA V100 GPU. Our OpenMP and OpenACC LOBPCG GPU implementations gave nearly identical performance. We also consider how to create an efficient LOBPCG solver that can solve problems larger than GPU memory capacity. To this end, we create microbenchmarks representing the two dominant kernels (inner product and SpMM kernel) in LOBPCG and then evaluate performance when using two different programming approaches: tiling the kernels, and using Unified Memory with the original kernels. Our tiled SpMM implementation achieves a 2.9$${\times }$$ and 48.2$${\times }$$ speedup over the Unified Memory implementation on supercomputers with PCIe Gen3 and NVLink 2.0 CPU to GPU interconnects, respectively

Event-related potential using task-based electroencephalogram may differentiate between mild cognitive impairment and normal controls

BACKGROUND: New non-invasive biomarkers to diagnose early Alzheimer’ disease are needed. We investigated the role of event-related potential (ERP) using task-based electroencephalogram (EEG) in differentiating patients with mild cognitive problems from cognitive-normal healthy controls …published_or_final_versio

Equation-based object-oriented modeling and simulation of data center cooling systems

In this paper, we introduce a newly developed open source data center package in the Modelica Buildings library to support modeling and simulation of cooling and control systems of data centers. The data center package contains major thermal and control component models, such as Computer Room Air Handler, Computer Room Air Conditioner, models of different subsystem configurations such as chillers with differently configured waterside economizers, as well as templates for different systems. Two case studies based on this package are performed to investigate the performances of the cooling and electrical system under normal conditions and emergency situations such as a blackout: one is for a data center powered by conventional energy, and the other is for a data center powered by renewable energy. Simulation results show that the dynamic modeling and multi-domain simulation in the Modelica-based tool make it convenient for users to investigate both normal and emergent operations for conventional and renewable data centers

Molecular Clocks without Rocks: New Solutions for Old Problems.

Molecular data have been used to date species divergences ever since they were described as documents of evolutionary history in the 1960s. Yet, an inadequate fossil record and discordance between gene trees and species trees are persistently problematic. We examine how, by accommodating gene tree discordance and by scaling branch lengths to absolute time using mutation rate and generation time, multispecies coalescent (MSC) methods can potentially overcome these challenges. We find that time estimates can differ - in some cases, substantially - depending on whether MSC methods or traditional phylogenetic methods that apply concatenation are used, and whether the tree is calibrated with pedigree-based mutation rates or with fossils. We discuss the advantages and shortcomings of both approaches and provide practical guidance for data analysis when using these methods

Synthetic guidelines for the precision engineering of gold nanoparticles

Gold nanoparticles (AuNPs) are one of the most studied nanomaterials with applications spanning from catalysis to biomedicine. While numerous chemical protocols exist that allow bespoke tailoring of chemical, physical and biological properties, their translation towards industrial-scale production remains a challenge. Batch synthesis often suffers from poor reproducibility and scalability, while emerging approaches, such as continuous flow synthesis, are not widely implemented in research labs. Herein, we provide a critical review of recent developments in the field of AuNP synthesis and identify synthetic guidelines for precision engineering of nanoparticle properties

Literature review and analysis of the application of health outcome assessment instruments in Chinese medicine

OBJECTIVE: To evaluate the application of health assessment instruments in Chinese medicine. METHODS: According to a pre-defined search strategy, a comprehensive literature search for all articles published in China National Knowledge Infrastructure databases was conducted. The resulting articles that met the defined inclusion and exclusion criteria were used for analysis. RESULTS: A total of 97 instruments for health outcome assessment in Chinese medicine have been used in fundamental and theoretical research, and 14 of these were also used in 29 clinical trials that were randomized controlled trials, or descriptive or cross-sectional studies. In 2 152 Chinese medicine-based studies that used instruments in their methodology, more than 150 questionnaires were identified. Among the identified questionnaires, 51 were used in more than 10 articles (0.5%). Most of these instruments were developed in Western countries and few studies (4%) used the instrument as the primary evidence for their conclusions. CONCLUSION: Usage of instruments for health outcome assessment in Chinese medicine is increasing rapidly; however, current limitations include selection rationale, result interpretation and standardization, which must be addressed accordingly