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PubMed Journals Articles About "BioMedical Enterprises" RSS

14:04 EDT 22nd May 2018 | BioPortfolio

BioMedical Enterprises PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest BioMedical Enterprises articles that have been published worldwide.

More Information about "BioMedical Enterprises" on BioPortfolio

We have published hundreds of BioMedical Enterprises news stories on BioPortfolio along with dozens of BioMedical Enterprises Clinical Trials and PubMed Articles about BioMedical Enterprises for you to read. In addition to the medical data, news and clinical trials, BioPortfolio also has a large collection of BioMedical Enterprises Companies in our database. You can also find out about relevant BioMedical Enterprises Drugs and Medications on this site too.

Showing "BioMedical Enterprises" PubMed Articles 1–25 of 2,300+

Study on the ownership balance and the efficiency of mixed ownership enterprises from the perspective of heterogeneous shareholders.

Based on the database data of Chinese industrial enterprises from 2000 to 2007 and the LP method, this paper measures the total factor productivity of enterprises and investigates the effect of different mixed ownership forms on enterprises' efficiency and the effect of heterogeneous ownership balance on the mixed ownership enterprises' efficiency. The state-owned enterprise and mixed ownership enterprise are identified by the enterprise's paid-up capital. The results show that, on the whole, for the mixed ...


Just how good an investment is the biopharmaceutical sector?

Uncertainty surrounding the risk and reward of investments in biopharmaceutical companies poses a challenge to those interested in funding such enterprises. Using data on publicly traded stocks, we track the performance of 1,066 biopharmaceutical companies from 1930 to 2015-the most comprehensive financial analysis of this sector to date. Our systematic exploration of methods for distinguishing biotech and pharmaceutical companies yields a dynamic, more accurate classification method. We find that the perfo...

Differentiating the effect of social enterprise activities on health.

An emerging stream of literature has focused on the ways in which social enterprises might act on the social determinants of health. However, this previous work has not taken a sufficiently broad account of the wide range of stakeholders involved in social enterprises and has also tended to reduce and simplify a complex and heterogeneous set of organisations to a relatively homogenous social enterprise concept. In an attempt to address these gaps, we conducted an empirical investigation between August 2014 ...


Application of occupational hazard risk index model in occupational health risk assessment in a decorative coating manufacturing enterprises.

To evaluate the occupational health risk of decorative coating manufacturing enterprises and to explore the applicability of occupational hazard risk index model in the health risk assessment, so as to provide basis for the health management of enterprises.A decorative coating manufacturing enterprise in Hebei Province was chosen as research object, following the types of occupational hazards and contact patterns, the occupational hazard risk index model was used to evaluate occupational health risk factors...

DataMed - an open source discovery index for finding biomedical datasets.

Finding relevant datasets is important for promoting data reuse in the biomedical domain, but it is challenging given the volume and complexity of biomedical data. Here we describe the development of an open source biomedical data discovery system called DataMed, with the goal of promoting the building of additional data indexes in the biomedical domain.

Exploiting Semantic Patterns over Biomedical Knowledge Graphs for Predicting Treatment and Causative Relations.

Identifying new potential treatment options for medical conditions that cause human disease burden is a central task of biomedical research. Since all candidate drugs cannot be tested with animal and clinical trials, in vitro approaches are first attempted to identify promising candidates. Likewise, identifying different causal relations between biomedical entities is also critical to understand biomedical processes. Generally, natural language processing (NLP) and machine learning are used to predict speci...

The Working Efficiency and Health Conditions of Workers.

The article presents the results of expert evaluation of impact of workers' health on labor efficiency. The key problems related to health support at industrial enterprises are considered too. The pilot study covered 20 experts (administrators, deputy directors of HR departments and departments of occupational care and industrial safety of large industrial enterprises). The study was carried out with participation of specialists of the Russian public opinion research center (VCIOM). The study results demons...

New JBI policy emphasizes substantive, practical methodological innovations for biomedical privacy and security papers.

A Hybrid Model Based on Neural Networks for Biomedical Relation Extraction.

Biomedical relation extraction can automatically extract high-quality biomedical relations from biomedical texts, which is a vital step for the mining of biomedical knowledge hidden in the literature. Recurrent neural networks (RNNs) and convolutional neural networks (CNNs) are two major neural network models for biomedical relation extraction. Neural network-based methods for biomedical relation extraction typically focus on the sentence sequence and employ RNNs or CNNs to learn the latent features from se...

Assessing the Practice of Biomedical Ontology Evaluation: Gaps and Opportunities.

With the proliferation of heterogeneous health care data in the last three decades, biomedical ontologies and controlled biomedical terminologies play a more and more important role in knowledge representation and management, data integration, natural language processing, as well as decision support for health information systems and biomedical research. Biomedical ontologies and controlled terminologies are intended to assure interoperability. Nevertheless, the quality of biomedical ontologies has hindered...

GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text.

Best performing named entity recognition (NER) methods for biomedical literature are based on hand-crafted features or task-specific rules, which are costly to produce and difficult to generalize to other corpora. End-to-end neural networks achieve state-of-the-art performance without hand-crafted features and task-specific knowledge in non-biomedical NER tasks. However, in the biomedical domain, using the same architecture does not yield competitive performance compared with conventional machine learning m...

Characterization and application of azo dye (E)-N-phenyl-4-(thiazole-2-yldiazenyl)aniline (PDA) for biomedical sterilization.

Sterilization is the certain and absolute decontamination of microorganisms totally from all manner of alive and active species. Sterilization devices used in the sterilization processes are between laboratory and external patient application devices of biomedical device technology, and they are designed to remove equipments from germs. The application potential of hetarilazo indole based azo dyes in the biomedical sterilization are known and azo dyes come into prominence in this class because of simplicity...

On the evaluation of social innovations and social enterprises: Recognizing and integrating two solitudes in the empirical knowledge base.

Social innovation (SI) is billed as a new way to address complex social problems. Interest in SI has intensified rapidly in the last decade, making it an important area of practice for evaluators, but a difficult one to navigate. Learning from developments in SI and evaluation approaches applied in SI contexts is challenging because of 'fuzzy' concepts and silos of activity and knowledge within SI communities. This study presents findings from a systematic review and integration of 41 empirical studies on e...

Awareness of Biomedical Waste Management among Dentists associated with Institutions and Private Practitioners of North India: A Comparative Study.

The present study aimed to obtain information about knowledge, execution, and attitude toward biomedical waste (BMW) and its management.

Using uncertainty to link and rank evidence from biomedical literature for model curation.

In recent years, there has been great progress in the field of automated curation of biomedical networks and models, aided by text mining methods that provide evidence from literature. Such methods must not only extract snippets of text that relate to model interactions, but also be able to contextualize the evidence and provide additional confidence scores for the interaction in question. Although various approaches calculating confidence scores have focused primarily on the quality of the extracted inform...

Government Cloud Computing Policies: Potential Opportunities for Advancing Military Biomedical Research.

This position paper summarizes the development and the present status of Department of Defense (DoD) and other government policies and guidances regarding cloud computing services. Due to the heterogeneous and growing biomedical big datasets, cloud computing services offer an opportunity to mitigate the associated storage and analysis requirements. Having on-demand network access to a shared pool of flexible computing resources creates a consolidated system that should reduce potential duplications of effor...

Big Data Collision: The Internet of Things, Wearable Devices, and Genomics in the Study of Neurological Traits and Disease.

Advances in information technology (IT) hardware in the last decade has led to the advent of small connected devices broadly referred to as the Internet of Things (IoT). The IoT and its subcategory of wearable devices (wearables) both have the potential to greatly impact biomedical research. This focused review covers recent biomedical research using the IoT and wearables in the area of neurological traits and disease. In addition, a look into the future of biomedical research using the IoT/wearables as wel...

Applications of Mössbauer Spectroscopy in Biomedical Research.

A brief review on the applications of Mössbauer spectroscopy in biomedical research discusses the results of more than fifty years of experience in this field. Basing on the numerous results the main directions of biomedical applications of Mössbauer spectroscopy are considered as follows: 1) studies of the quantitative changes of iron-containing biomolecules related to pathological processes; 2) studies of the qualitative changes in iron-containing biomolecules related to pathological processes; 3) studi...

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

Text mining has become an important tool in bioinformatics research with the massive growth in the biomedical literature over the past decade. Mining the biomedical literature has resulted in an incredible number of computational algorithms that assist many bioinformatics researchers. In this paper, we present a text mining system called Gene Interaction Rare Event Miner (GIREM) that constructs gene-gene-interaction networks for human genome using information extracted from biomedical literature. GIREM iden...

It's all in the timing: calibrating temporal penalties for biomedical data sharing.

Biomedical science is driven by datasets that are being accumulated at an unprecedented rate, with ever-growing volume and richness. There are various initiatives to make these datasets more widely available to recipients who sign Data Use Certificate agreements, whereby penalties are levied for violations. A particularly popular penalty is the temporary revocation, often for several months, of the recipient's data usage rights. This policy is based on the assumption that the value of biomedical research da...

Biomedical Applications of Recombinant Silk-Based Materials.

Silk is mostly known as a luxurious textile, which originates from silkworms first cultivated in China. A deeper look into the variety of silk reveals that it can be used for much more, in nature and by humanity. For medical purposes, natural silks were recognized early as a potential biomaterial for surgical threads or wound dressings; however, as biomedical engineering advances, the demand for high-performance, naturally derived biomaterials becomes more pressing and stringent. A common problem of natural...

Blockchain distributed ledger technologies for biomedical and health care applications.

To introduce blockchain technologies, including their benefits, pitfalls, and the latest applications, to the biomedical and health care domains.

Modification of sterculia gum polysaccharide via network formation by radiation induced crosslinking polymerization for biomedical applications.

Keeping in view the therapeutic and pharmaceutical applications of sterculia gum polysaccharide in consideration, its modification has been carried out through grafting and crosslinking to develop the hydrogels for enhanced biomedical applications. Radiation method was used for formation of sterile network of sterculia gum, carbopol and graphene oxide (GO). These polymers were characterized by Cryo-SEMs, AFM, C NMR solid state, swelling studies. Some biomedical properties of hydrogels like thrombogenicity, ...

Working Health Services Scotland: a 4-year evaluation.

Working Health Service Scotland (WHSS) supports the self-employed and employees of small and medium-sized enterprises (SMEs) in Scotland with a health condition affecting their ability to work, who are either absent or at risk of becoming absent due to it.

Multi-field query expansion is effective for biomedical dataset retrieval.

In the context of the bioCADDIE challenge addressing information retrieval of biomedical datasets, we propose a method for retrieval of biomedical data sets with heterogenous schemas through query reformulation. In particular, the method proposed transforms the initial query into a multi-field query that is then enriched with terms that are likely to occur in the relevant datasets. We compare and evaluate two query expansion strategies, one based on the Rocchio method and another based on a biomedical lexic...


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