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PubMed Journals Articles About "Global Surface Disinfectant Market Data List Segment 20152022" RSS

04:48 EDT 19th September 2018 | BioPortfolio

Global Surface Disinfectant Market Data List Segment 20152022 PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Global Surface Disinfectant Market Data List Segment 20152022 articles that have been published worldwide.

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Showing "Global Surface Disinfectant Market Data List Segment 20152022" PubMed Articles 1–25 of 37,000+

Efficacy of "HLE"-a multidrug efflux-pump inhibitor-as a disinfectant against surface bacteria.

We evaluated the efficacy of a new disinfectant product, HLE, to inhibit multiple species of planktonic and biofilm bacterial cultures. The HLE disinfectant comprised of EDTA, lactic acid and hydrogen peroxide, and our data indicated that the disinfectant had effective antimicrobial and anti-biofilm activity even at low concentrations (0.15% to 0.4% HLE, v/v). Furthermore, the HLE disinfectant destabilized biofilm structures eradicated them due to the synergistic effect of EDTA and both antimicrobials (lact...


Strain, disinfectant, concentration, and contact time quantitatively impact disinfectant efficacy.

Transmission of healthcare-associated infections caused by antibiotic- and multi-drug resistant (MDR) pathogens (e.g. Methicillin-resistant (MRSA), ) are a major concern in patient care facilities. Disinfectant usage is critical to control and prevent pathogen transmission, yet the relationships among strain, disinfectant type, contact time, and concentration are not well-characterized. We hypothesized that there would be significant differences in disinfectant efficacy among clinically relevant strains un...

Analysis of global stock index data during crisis period via complex network approach.

Considerable research has been done on the complex stock market, however, there is very little systematic work on the impact of crisis on global stock markets. For filling in these gaps, we propose a complex network method, which analyzes the effects of the 2008 global financial crisis on global main stock index from 2005 to 2010. Firstly, we construct three weighted networks. The physics-derived technique of minimum spanning tree is utilized to investigate the networks of three stages. Regional clustering ...


Forensic drug intelligence and the rise of cryptomarkets. Part II: Combination of data from the physical and virtual markets.

Technology provides new ways to access customers and suppliers while enhancing the security of off-line criminal activity. Since the first cryptomarket, Silk Road, in 2011, cryptomarkets have transformed the traditional drug sale by facilitating the creation of a global network of vendors and buyers. Due to the fragmented nature of traces that result from illegal activities, combining the results of concurrent processes based on traces of different nature should provide supplementary benefit to understand t...

Do we know how best to disinfect child care sites in the United States? A review of available disinfectant efficacy data and health risks of the major disinfectant classes.

Children in child care settings have a high infectious burden. They are frequently exposed to sanitizing and disinfecting agents, whose toxicities have not been studied in these settings. Current guidance on the preferred disinfection agents for child care is vague.

The mathematics of market timing.

Market timing is an investment technique that tries to continuously switch investment into assets forecast to have better returns. What is the likelihood of having a successful market timing strategy? With an emphasis on modeling simplicity, I calculate the feasible set of market timing portfolios using index mutual fund data for perfectly timed (by hindsight) all or nothing quarterly switching between two asset classes, US stocks and bonds over the time period 1993-2017. The historical optimal timing path ...

Preliminary Study of the Potential Extracts from Selected Plants to Improve Surface Cleaning.

Environment hygiene is important for preventing infection and promoting a healthier environment in which to live or work. The goal of this study was to examine the antimicrobial effects of(key lime) juice and aqueous extracts of(cinnamon) bark and(kaffir lime) leaves on the kinetic growth ofand methicillin resistance(). Antimicrobial activity was quantitatively evaluated using spectrophotometry and viable cell counts versus bacterial growth time. The fomite surface samples that were used in the second exper...

OceanRAIN, a new in-situ shipboard global ocean surface-reference dataset of all water cycle components.

OceanRAIN-the Ocean Rainfall And Ice-phase precipitation measurement Network-provides in-situ along-track shipboard data of precipitation, evaporation and the resulting freshwater flux at 1-min resolution over the global oceans from June 2010 to April 2017. More than 6.83 million minutes with 75 parameters from 8 ships cover all routinely measured atmospheric and oceanographic state variables along with those required to derive the turbulent heat fluxes. The precipitation parameter is based on measurements ...

Substandard and falsified medical products are a global public health threat. A pilot survey of awareness among physicians in Sweden.

Substandard and falsified medical products are a public health threat, primarily associated with low- and middle-income countries. Today, the phenomenon also exists in high-income countries. Increased Internet access has opened a global market. Self-diagnosis and self-prescription have boosted the market for unregulated websites with access to falsified medicines.

Combined effects of coagulation and adsorption on ultrafiltration membrane fouling control and subsequent disinfection in drinking water treatment.

This study investigated the combined effects of coagulation and powdered activated carbon (PAC) adsorption on ultrafiltration (UF) membrane fouling control and subsequent disinfection efficiency through filtration performance, dissolved organic carbon (DOC) removal, fluorescence excitation-emission matrix (EEM) spectroscopy, and disinfectant curve. The fouling behavior of UF membrane was comprehensively analyzed especially in terms of pollutant removal and fouling reversibility to understand the mechanism o...

Improving forecasting accuracy for stock market data using EMD-HW bagging.

Many researchers documented that the stock market data are nonstationary and nonlinear time series data. In this study, we use EMD-HW bagging method for nonstationary and nonlinear time series forecasting. The EMD-HW bagging method is based on the empirical mode decomposition (EMD), the moving block bootstrap and the Holt-Winter. The stock market time series of six countries are used to compare EMD-HW bagging method. This comparison is based on five forecasting error measurements. The comparison shows that ...

General Component Analysis (GCA): A new approach to identify Chinese corporate bond market structures.

PCA has been widely used in many fields to detect dominant principle components, but it ignores the information embedded in the remaining components. As a supplement to PCA, we propose the General Component Analysis (GCA). The inverse participation ratios (IPRs) are used to identify the global components (GCs) and localized components (LCs). The mean values of the IPRs derived from the shuffled data are taken as the natural threshold, which is exquisite and novel. In this paper, the Chinese corporate bond m...

Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction.

Scarce data are available whether cardiac magnetic resonance (CMR) assessment of myocardial deformation provides independent and incremental prognostic information in patients with ST-segment elevation myocardial infarction (STEMI). The aim of the present study was to investigate the prognostic utility of CMR feature-tracking derived left ventricular (LV) global circumferential strain (GCS) in STEMI patients.

Modeling surface disinfection needs to meet microbial risk reduction targets.

Nosocomial viral infections are an important cause of healthcare acquired infections where fomites have a role in transmission. Using stochastic modeling to quantify the effect of surface disinfection practices on nosocomial pathogen exposures and infection risk can inform cleaning practices. The purpose of this study was to predict the effect of surface disinfection on viral infection risks and determine needed viral reductions to achieve risk targets. Rotavirus, rhinovirus, and influenza A virus infection...

Effects of market type and time of purchase on oxidative status and descriptive off-odors and off-flavors of beef in Vietnam.

The objective of the current study was to determine the effects of market type (super market - SM, indoor market - IM, open market - OM) and sampling time (at the opening - T0 and 4 h after the opening - T4) on antioxidant capacity, lipid oxidation, and descriptive sensory attributes of beef in Vietnam. Values of FC and TEAC were greater in OM beef than IM and SM (P 

High-Resolution Anterior Segment Optical Coherence Tomography in Intraepithelial Versus Invasive Ocular Surface Squamous Neoplasia.

To evaluate the imaging characteristics of intraepithelial and invasive ocular surface squamous neoplasia (OSSN) on high-resolution anterior segment optical coherence tomography (ASOCT).

Progress and Remaining Gaps in Estimating the Global Disease Burden of Influenza.

Influenza has long been a global public health priority because of the threat of another global pandemic. Although data are available for the annual burden of seasonal influenza in many developed countries, fewer disease burden data are available for low-income and tropical countries. In recent years, however, the surveillance systems created as part of national pandemic preparedness efforts have produced substantial data on the epidemiology and impact of influenza in countries where data were sparse. These...

Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data.

Temporal fluctuations in functional Magnetic Resonance Imaging (fMRI) have been profitably used to study brain activity and connectivity for over two decades. Unfortunately, fMRI data also contain structured temporal "noise" from a variety of sources, including subject motion, subject physiology, and the MRI equipment. Recently, methods have been developed to automatically and selectively remove spatially specific structured noise from fMRI data using spatial Independent Components Analysis (ICA) and machin...

Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality.

Segmentation of heterogeneous patient populations into parsimonious and relatively homogenous groups with similar healthcare needs can facilitate healthcare resource planning and development of effective integrated healthcare interventions for each segment. We aimed to apply a data-driven, healthcare utilization-based clustering analysis to segment a regional health system patient population and validate its discriminative ability on 4-year longitudinal healthcare utilization and mortality data.

Recent Advances in Drug Development and Regulatory Science in China.

As the second largest pharmaceutical market with a great potential for future growth, China has drawn much attention from the global pharmaceutical community. With an increasing government investment in biomedical research, the domestic biopharmaceutical (biotechnological) companies in China are turning their attention to the development of innovative medicines and targeting the global market. To introduce innovative products to Chinese patients sooner, to improve the efficiency of its review and approval p...

Electronic problem lists: a thematic analysis of a systematic literature review to identify aspects critical to success.

Problem list data is a driving force for many beneficial clinical tools, yet these data remain underutilized. We performed a systematic literature review, pulling insights from previous research, aggregating insights into themes, and distilling themes into actionable advice. We sought to learn what changes we could make to existing applications, to the clinical workflow, and to clinicians' perceptions that would improve problem list utilization and increase the prevalence of problems data in the electronic ...

FLO1K, global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015.

Streamflow data is highly relevant for a variety of socio-economic as well as ecological analyses or applications, but a high-resolution global streamflow dataset is yet lacking. We created FLO1K, a consistent streamflow dataset at a resolution of 30 arc seconds (~1 km) and global coverage. FLO1K comprises mean, maximum and minimum annual flow for each year in the period 1960-2015, provided as spatially continuous gridded layers. We mapped streamflow by means of artificial neural networks (ANNs) regressio...

A framework for the estimation of the proportion of true discoveries in single nucleotide variant detection studies for human data.

Any single nucleotide variant detection study could benefit from a fast and cheap method of measuring the quality of variant call list. It is advantageous to be able to see how the call list quality is affected by different variant filtering thresholds and other adjustments to the study parameters. Here we look into a possibility of estimating the proportion of true positives in a single nucleotide variant call list for human data. Using whole-exome and whole-genome gold standard data sets for training, we ...

Global Availability of Cancer Registry Data.

Operating list composition and surgical performance.

Recent reviews suggest that the way in which surgeons prepare for a procedure (warm up) can affect performance. Operating lists present a natural experiment to explore this phenomenon. The aim was to use a routinely collected large data set on surgical procedures to understand the relationship between case list order and operative performance.


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