246 research outputs found
Treatment of mild chronic obstructive pulmonary disease
Chronic obstructive pulmonary disease (COPD) is an epidemic in many parts of the world. Most patients with COPD demonstrate mild disease. The cornerstone of management of mild disease is smoking cessation, which is the only proven intervention to relieve symptoms, modify its natural history and reduce mortality. For asymptomatic patients, it is the only required therapy. Short-acting bronchodilators can be added on an as needed basis for those with intermittent symptoms and regularly for those with persistent symptoms. Long-acting bronchodilators can be substituted for those who remain symptomatic despite regular use of short-acting bronchodilators. Inhaled corticosteroids do not modify the natural history of COPD and as such cannot be recommended as standalone therapy for mild COPD. However, for patients with refractory and intractable symptoms, they may be used in combination with long-acting beta-2 agonists. Influenza and pneumococcal vaccination and pulmonary rehabilitation are other therapies that may be considered for select patients with mild disease. In this paper, we summarize the current standard of care for patients with mild COPD
Cryogenic spectroscopy of ultra-low density colloidal lead chalcogenide quantum dots on chip-scale optical cavities towards single quantum dot near-infrared cavity QED
We present evidence of cavity quantum electrodynamics from a sparse density
of strongly quantum-confined Pb-chalcogenide nanocrystals (between 1 and 10)
approaching single-dot levels on moderately high-Q mesoscopic silicon optical
cavities. Operating at important near-infrared (1500-nm) wavelengths, large
enhancements are observed from devices and strong modifications of the QD
emission are achieved. Saturation spectroscopy of coupled QDs is observed at
77K, highlighting the modified nanocrystal dynamics for quantum information
processing.Comment: * new additional figures and text * 10 pages, 5 figure
Influence Of Personal Preferred Creative Problem-Solving Style And Organisational Creativity Factors On Types Of Lateral Thinking
There were numerous studies on creative thinking especially on individual creativity but not on the types of lateral thinking. In this research, the general objective was to develop a multi-dimensional model of organisational creativity and developed instruments to measure the majority of the factors in the model. The specific objectives were to examine the influence of personal preferred style in creative problem solving and organisational creativity factors on the types of lateral thinking. This study also aimed to explore to what extent the types of lateral thinking could affect the decision outcomes.The research methodology used was a quantitative survey to test the theory that was hypothesized in the research framework. It involved 217 people across all departments at the supervisory, executive and managerial level from a sample of ten (10) organisations in Malaysia that has undergone creativity training by the researcher from the year 2000 to year 2004. Four (4) instruments were administered by the researcher namely Creative Process Inventory (CPI), Organisational Creativity Factors (OCF), Lateral Thinking Test (LTT) and Decision Making Outcomes (DMO).
The research indicated that personal preferred styles have no significant impact on the explanation of observed variances in the types of lateral thinking. However, the organisational creativity factors showed a significant association with a chi-square value of 30.61. This explained that there could be other factors that influenced the types of lateral thinking. The three variables that are significant predictors of novelty ideas were creativity training, idea implementation process and idea assessment process.
The model explained that the overall predictive accuracy was 68.2% of the types of lateral thinking, thus presenting a relatively good model of exogenous variables. Overall, the model correctly predicted 80.3% of the cases for novelty ideas and 52.6% for predicting effective ideas.
The recommendations for organisations were to train their executives in creative thinking, applications of effective ideas and a chance in leading a problem solving session, setting up creativity assessment and implementation policies. The recommendations for future research were to identify other factors that may affect individual’s preferred styles, types of lateral thinking, and how these affect the decision outcomes
Modelling the efficiency of knowledge economies in the Asia Pacific: a DEA approach
This paper measures the performances of 12 selected Asia Pacific countries in developing knowledge-based economies (KE). The performances of the selected countries are evaluated using Data Envelopment Analysis (DEA). The results indicate that four of the emerging countries (India, Indonesia, Thailand and mainland China) are relatively inefficient in K-E development compared to the other eight which are equally efficient The main reason for their backwardness is due to the outflow of their human capital resource to the developed countries. This seriously undermines the level of their K-E development compared to their counterparts. The results also indicate that knowledge dissemination is generally not a serious problem, except for India. However, in terms of knowledge output, knowledge dissemination becomes the weakest point for all low-scoring countries except China. Both India and China however, encounter serious obstacles in knowledge innovation and external connection
Kalman-Filter-Based Unconstrained and Constrained Extremum-Seeking Guidance on SO(3)
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/143013/1/1.G002635.pd
New Details of HCV NS3/4A Proteinase Functionality Revealed by a High-Throughput Cleavage Assay
Background: The hepatitis C virus (HCV) genome encodes a long polyprotein, which is processed by host cell and viral proteases to the individual structural and non-structural (NS) proteins. HCV NS3/4A serine proteinase (NS3/4A) is a noncovalent heterodimer of the N-terminal,,180-residue portion of the 631-residue NS3 protein with the NS4A co-factor. NS3/ 4A cleaves the polyprotein sequence at four specific regions. NS3/4A is essential for viral replication and has been considered an attractive drug target. Methodology/Principal Findings: Using a novel multiplex cleavage assay and over 2,660 peptide sequences derived from the polyprotein and from introducing mutations into the known NS3/4A cleavage sites, we obtained the first detailed fingerprint of NS3/4A cleavage preferences. Our data identified structural requirements illuminating the importance of both the short-range (P1–P19) and long-range (P6-P5) interactions in defining the NS3/4A substrate cleavage specificity. A newly observed feature of NS3/4A was a high frequency of either Asp or Glu at both P5 and P6 positions in a subset of the most efficient NS3/4A substrates. In turn, aberrations of this negatively charged sequence such as an insertion of a positively charged or hydrophobic residue between the negatively charged residues resulted in inefficient substrates. Because NS5B misincorporates bases at a high rate, HCV constantly mutates as it replicates. Our analysis revealed that mutations do not interfere with polyprotein processing in over 5,000 HCV isolates indicating a pivotal role of NS3/4A proteolysis in the viru
Analysis of Layered ROLLO-I: A BII-LRPC code-based KEM
We analyze Layered ROLLO-I, a code-based cryptosystem
published in IEEE Communications Letters and submitted to the Korean
post-quantum cryptography competition. Four versions of Layered
ROLLO-I have been proposed in the competition. We show that the first
two versions do not provide the claimed security against rank decoding
attacks and give reductions to small instances of the original ROLLO-I
scheme, which was a candidate in the NIST competition and eliminated
there due to rank decoding attacks. As a second contribution, we provide
two efficient message recovery attacks, affecting every security level
of the first three versions of Layered ROLLO-I and security levels 128
and 192 of the fourth version
Time series analysis of demographic and temporal trends of tuberculosis in Singapore
Background: Singapore is an intermediate tuberculosis (TB) incidence country, with a recent rise in TB incidence from 2008, after a fall in incidence since 1998. This study identified population characteristics that were associated with the recent increase in TB cases, and built a predictive model of TB risk in Singapore.
Methods: Retrospective time series analysis was used to study TB notification data collected from 1995 to 2011 from the Singapore Tuberculosis Elimination Program (STEP) registry. A predictive model was developed based on the data collected from 1995 to 2010 and validated using the data collected in 2011.
Results: There was a significant difference in demographic characteristics between resident and non-resident TB cases. TB risk was higher in non-residents than in residents throughout the period. We found no significant association between demographic and macro-economic factors and annual incidence of TB with or without adjusting for the population-at-risk. Despite growing non-resident population, there was a significant decrease in the non-resident TB risk (p < 0.0001). However, there was no evidence of trend in the resident TB risk over this time period, though differences between different demographic groups were apparent with ethnic minorities experiencing higher incidence rates.
Conclusion: The study found that despite an increasing size of non-resident population, TB risk among non-residents was decreasing at a rate of about 3% per year. There was an apparent seasonality in the TB reporting
Efficacy of Wolbachia-mediated sterility to suppress dengue: a synthetic control study
In a study conducted in Singapore, a country prone to dengue outbreaks due to
its climate and urban population, researchers examined the effectiveness of
releasing male Aedes aegypti mosquitoes infected with Wolbachia (wAlbB strain)
to reduce dengue transmission. These infected males, when mating with wild-type
females, produced non-viable eggs, leading to vector suppression. Extensive
field trials involving over 600,000 residents in four townships were conducted
from 2018 to 2022. The results showed a 57% decline in total dengue incidence
and a 64% decline in clustered dengue incidence. This approach offers promise
for large-scale dengue control in regions facing rising dengue cases, providing
a critical solution in combating the disease
Microbiome and environment explain the absence of correlations between consumers and their diet in Bornean microsnails
Classical ecological theory posits that species partition resources such that each species occupies a unique resource niche. In general, the availability of more resources allows more species to co‐occur. Thus, a strong relationship between communities of consumers and their resources is expected. However, correlations may be influenced by other layers in the food web, or by the environment. Here we show, by studying the relationship between communities of consumers (land snails) and individual diets (from seed plants), that there is in fact no direct, or at most a weak but negative, relationship. However, we found that the diversity of the individual microbiome positively correlates with both consumer community diversity and individual diet diversity in three target species. Moreover, these correlations were affected by various environmental variables, such as anthropogenic activity, habitat island size, and a possibly important nutrient source, guano runoff from nearby caves. Our results suggest that the microbiome and the environment explain the absence of correlations between diet and consumer community diversity. Hence, we advocate that microbiome inventories are routinely added to any community dietary analysis, which our study shows can be done with relatively little extra effort. Our approach presents the tools to quickly obtain an overview of the relationships between consumers and their resources. We anticipate our approach to be useful for ecologists and environmentalist studying different communities in a local food web
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