PubMed Journals Articles About "BioMedical Enterprises, Inc." RSS

08:44 EDT 20th July 2018 | BioPortfolio

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

Estimation of Fine Particle (PM) Emission Inventory from Cooking: Case Study for Shanghai.

Cooking is one of important emission sources of fine particles (PM). This study using the catering enterprises of Shanghai as an example, presents a method to estimate the PM emission inventory from cooking according to the number of stoves, cooking time, and number of customers. Based on in situ measurements, the concentrations of PM emissions ranged from 0.1 mg ·m to 1.8 mg ·m, which exceeded the limit (1.0 mg ·m for lampblack) in the national standard. Organic carbon dominated the PM emitted from cook...

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 ...

Social enterprises and public health improvement in England: a qualitative case study.

To explore the contribution of social enterprises to publicly commissioned public health improvement and assess the risks and benefits of their role.

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 ...

Navigational enterprises in Europe and its empires, 1730-1850.

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...

Letter to the Editor( Response from author): MeSH qualifiers, publication types and relation occurrence frequency are also useful for a better sentence-level extraction of biomedical relations.

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...

MeSH qualifiers and types of publications as well as the occurrence frequency of relations within publications can be useful for a better sentence-level extraction of biomedical relations from scientific literature.

A novel framework for biomedical entity sense induction.

Rapid advancements in biomedical research have accelerated the number of relevant electronic documents published online, ranging from scholarly articles to news, blogs, and user-generated social media content. Nevertheless, the vast amount of this information is poorly organized, making it difficult to navigate. Emerging technologies such as ontologies and knowledge bases (KBs) could help organize and track the information associated with biomedical research developments. A major challenge in the automatic ...

Graph-based biomedical text summarization: An itemset mining and sentence clustering approach.

Automatic text summarization offers an efficient solution to access the ever-growing amounts of both scientific and clinical literature in the biomedical domain by summarizing the source documents while maintaining their most informative contents. In this paper, we propose a novel graph-based summarization method that takes advantage of the domain-specific knowledge and a well-established data mining technique called frequent itemset mining.

Marketing authorisation applications submitted to the European Medicines Agency by small and medium-sized enterprises: an analysis of major objections and their impact on outcomes.

Small and medium-sized enterprises (SMEs) are an important source of innovative medicines. Compared with their larger counterparts, they experience challenges as a result of insufficient human and financial resources that can hamper drug development and regulatory compliance. This analysis reviews the profile of major objections raised in applications for medicines for human use submitted by SMEs to the European Medicines Agency between 2011 and 2015 and their impact on the outcome of applications. It showe...

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.

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...

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...

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, ...

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