Training entrepreneurial culture in enterprises of the Republic of Moldova

This article addresses the problems related to the formation of organizational culture in the Republic of Moldova. There are reviewed the results of research carried out in the business of producing and conclusions that are made. It highlighted the role of human resources training in organizational culture. The paper highlights the preconditions for the creation of an entrepreneurial culture.Organization culture; Training; Entrepreneurial culture

pH-Mediated Regulation of Polymer Transport Through SiN Pores

We characterize the pH controlled polymer capture and transport thorough silicon nitride (SiN) pores subject to protonation. A charge regulation model able to reproduce the experimental zeta potential of SiN pores is coupled with electrohydrodynamic polymer transport equations. The formalism can quantitatively explain the experimentally observed non-monotonic pH dependence of avidin conductivity in terms of the interplay between the electroosmotic and electrophoretic drag forces on the protein. We also scrutinize the DNA conductivity of SiN pores. We show that in the low pH regime where the amphoteric pore is cationic, DNA-pore attraction acts as an electrostatic trap. This provides a favorable condition for fast polymer capture and extended translocation required for accurate polymer sequencing

Point of care tests for sexually transmitted infections (STIs)

A number of clinical/disease areas have been prioritised by the Technology Strategy Board (TSB) and Department of Health (DH) for the DIIA Innovation Platform. To support commissioning of technology development for detection of sexually transmitted infections (STIs) in humans, a scoping review has been undertaken to help identify the specific requirements for new diagnostic test development and likely economic payback for point of care (POC) tests for STIs in the UK

Point of care tests for tuberculosis (TB) : economic analysis report

A number of clinical/disease areas have been prioritised by the TSB and DH for the DIIA Innovation Platform. To support commissioning of technology developments in the area of tuberculosis detection in humans, a scoping review has been undertaken to help identify the specific requirements for new diagnostic test development and likely payback in the area of point of care (POC) tuberculosis tests in the UK. There has been a gradual rise in the number of tuberculosis (TB) cases observed in the UK over the last 20 years, with a 4.2% rise in 2009 giving an overall 9,040 TB cases diagnosed or 15 cases per 100,000 population [1]. The aims of this economic review are to identify available information on the following for tuberculosis (TB): - economic burden of disease in the UK; - current NHS cost of TB detection and cost of treating identified TB cases; - evidence on cost-effectiveness of current tests for detection of active and latent TB infection; and - estimates of the economic benefits which new POC tests might provide in the UK

Point of care tests for hospital-acquired infections (HAIs) : economic analysis report

A number of clinical/disease areas have been prioritised by the Technology Strategy Board (TSB) and Department of Health (DH) for the DIIA Innovation Platform. To support commissioning of technology development for detection of hospital acquired infections (HAIs) in humans, a scoping review has been undertaken to help identify the specific requirements for new diagnostic test development and likely economic payback for point of care (POC) tests for HAIs in the UK. This report presents economic analysis findings for the following HAIs: - Methicillin-resistant Staphylococcus aureus (MRSA) - Clostridium difficile (C. difficile) - Extended-spectrum beta-lactamase (ESBL) infections

Comment on "Nonlocal statistical field theory of dipolar particles in electrolyte solutions" by Y.A. Budkov

The article by Budkov introduces a nonlocal field-theoretic model of solvent-explicit electrostatics. Despite giving a detailed introduction to the early literature on the topic, the article misses out on a series of articles that we published several years ago. Consequently, the manuscript essentially rederives without mention several results that were derived by us for the first time

Unbalanced load flow with hybrid wavelet transform and support vector machine based Error-Correcting Output Codes for power quality disturbances classification including wind energy

Purpose. The most common methods to designa multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to classify and characterize the power qualitydisturbances such as harmonic distortion,voltage sag, and voltage swell include wind farms generator in power transmission systems. Firstly three phases unbalanced load flow analysis is executed to calculate difference electric network characteristics, levels of voltage, active and reactive power. After, discrete wavelet transform is combined with the probabilistic ECOC-SVM model to construct the classifier. Finally, the ECOC-SVM classifies and identifies the disturbance type according tothe energy deviation of the discrete wavelet transform. The proposedmethod gives satisfactory accuracy with 99.2% compared with well known methods and shows that each power quality disturbances has specific deviations from the pure sinusoidal waveform,this is good at recognizing and specifies the type of disturbance generated from the wind power generator.Наиболее распространенные методы построения мультиклассовой классификации заключаются в определении набора двоичных классификаторов и их объединении. В данной статье предложена машина опорных векторов с классификатором выходных кодов исправления ошибок(ECOC-SVM) с целью классифицировать и характеризовать такие нарушения качества электроэнергии, как гармонические искажения, падение напряжения и скачок напряжения, включая генератор ветровых электростанций в системах передачи электроэнергии. Сначала выполняется анализ потока несимметричной нагрузки трех фаз для расчета разностных характеристик электрической сети, уровней напряжения, активной и реактивной мощности. После этого дискретное вейвлет-преобразование объединяется с вероятностной моделью ECOC-SVM для построения классификатора. Наконец, ECOC-SVM классифицирует и идентифицирует тип возмущения в соответствии с отклонением энергии дискретного вейвлет-преобразования. Предложенный метод дает удовлетворительную точность 99,2% по сравнению с хорошо известными методами и показывает, что каждое нарушение качества электроэнергии имеет определенные отклонения от чисто синусоидальной формы волны, что способствует распознаванию и определению типа возмущения, генерируемого ветровым генератором