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Assessing available water sources in both rural and urban locations is critical when educating women initiating ART.
Providing potable water may improve ART adherence. Assessing available water sources in both rural and urban locations is critical when educating women initiating ART.
The impact of pharmaceutical services on public health especially in regards to smoking cessation counseling can influence the rate of smoking cessation. The present study aims to evaluate prevalence, beliefs, and attitude of pharmacy students toward smoking habit and SC methods.
An online cross-sectional survey was conducted among pharmacy students at King Saud University, Riyadh, Saudi Arabia over 4-month period from May to August 2021. The survey consisted of 22-items focused on evaluating the prevalence, belief, and attitude toward smoking habits and smoking cessation methods. Data was descriptively analyzed using a statistical package for social science version 26 (SPSS).
A total of 675 students completed the survey, among which 78.7 % were non-smokers and only 31.7% received education on the dangers of smoking. The most common methods of smoking cessation they heard of were consultation (58.6%), followed by use of electronic cigarettes (41.92 %) and Nicotine patch (40.7%). One-third of the surveye cessation methods is unsatisfactory. Therefore, the study clearly highlights a great need for integrating smoking cessation programs in their academic curricula to prepare them for real-world practice.
To investigate the impact of cannabis use on the infection and survival outcomes of COVID-19.
Cross-sectional study based on the UK Biobank (UKB) dataset.
We identified 13,099 individuals with cannabis smoking history in the UKB COVID-19 Serology Study. The Charlson-Quan Comorbidity Index was estimated using inpatient ICD-10 records. Multivariable logistic regression characterized features associated with COVID-19 infection. Cox models determined the hazard ratios (HR) for COVID-19-related survival.
Cannabis users were more likely to getting COVID-19 (odds ratio 1.22,
= 0.001) but multivariable analysis showed that cannabis use was a protective factor of COVID-19 infection (adjusted odds ratio 0.81,
= 0.001). Regular cannabis users, who smoked more than once per month, had a significantly poorer COVID-19-related survival, after adjusting for known risk factors including age, gender, smoking history, and comorbidity (adjusted hazard ratio 2.81,
= 0.041).
The frequency of cannabis use could be considered as a candidate predictor for mortality risk of COVID-19.
The frequency of cannabis use could be considered as a candidate predictor for mortality risk of COVID-19.Our study explores the impact of financialization on carbon emissions by utilizing diverse financialization proxies, particularly for China. We examine the impact of financialization, institutional quality, globalization, natural resources, trade openness, and renewable and nonrenewable energy consumption on environmental pollution over the period 1996-2017 by utilizing dynamic autoregressive distributed lag (ARDL) simulations. The empirical findings of the study indicate that institutional quality, trade, globalization, natural resources, and renewable energy consumption significantly decrease environmental pollution in the long run, while foreign direct investment and financialization have neutral effects on carbon emissions. Our findings demonstrate that a 1% increase in institutional quality, trade, IFDI, renewable energy, and globalization leads to a decrease in CO2 emissions by 0.198, 0.016, 0.075, 0.010, and 0.072%, respectively. Even though financialization indexes contributed insignificantly to environmental degradation, other explanatory variables significantly affected carbon emissions through indirect effects of financialization. Financialization indexes behave in a similar context, and these proxy indicators are good parameters to understand the complex nature of financialization. Moreover, in order to achieve low carbon emissions and sustainable development, countries need viable financial institutions that focus on green growth by promoting clean production process strategies to ensure the reduction of CO2 emissions.Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has therefore become an important research area to enhance patient survival rates. Several research studies have reported classification approaches for specific disease prediction. In this paper, we propose a novel augmented artificial intelligence approach using an artificial neural network (ANN) with particle swarm optimization (PSO) to predict five prevalent chronic diseases including breast cancer, diabetes, heart attack, hepatitis, and kidney disease. Seven classification algorithms are compared to evaluate the proposed model's prediction performance. The ANN prediction model constructed with a PSO based feature extraction approach outperforms other state-of-the-art classification approaches when evaluated with accuracy. Our proposed approach gave the highest accuracy of 99.67%, with the PSO. However, the classification model's performance is found to depend on the attributes of data used for classification. Our results are compared with various chronic disease datasets and shown to outperform other benchmark approaches. In addition, our optimized ANN processing is shown to require less time compared to random forest (RF), deep learning and support vector machine (SVM) based methods. Our study could play a role for early diagnosis of chronic diseases in hospitals, including through development of online diagnosis systems.Bilateral investment agreements are bilateral treaties between capital exporting countries and host countries, which is specially used to protect international investment, and the contract execution is directly related to the daily operation of multinational enterprises. Based on the panel data of 73 developing countries from 2005 to 2019, this paper examines the improvement effect of BITs on the contract execution of host countries. The study found that both the overall bilateral investment agreements and the bilateral investment agreements in force can significantly improve the contract execution of the host country. Due to the differences between the civil law system and the common law system in many aspects, such as the source of evidence and trial mode, the effect of BITs on the improvement of contract execution in host countries of the common law system is more prominent. In terms of specific impact, the improvement effect of BITs on time is significantly better than cost. The core conclusion is still valid after changing the estimation method and eliminating abnormal samples.
The range of theoretical conceptualizations of problematic exercise in psychometric assessment instruments makes it difficult to identify the components that define this phenomenon. A better understanding of the underlying components of problematic exercise may contribute to progress toward providing scientific evidence that allows for deciding whether problematic exercise should be considered a substantive mental health disorder. The objective of the present review was to examine and compare, through a content analysis of their items, the components of problematic exercise in psychometric assessment instruments identified in a recent systematic review.
A total of 33 components of problematic exercise were identified in the 17 assessment instruments included in the present review.
The results show that, despite the lack of consensus in the operational definition of their factors and the variety of ways of wording their items, the instruments reflect some common components that might indicate core criteria (i.e., salience, withdrawal, and mood modification) or candidate components (i.e., conflict, and continuance despite problems) of problematic exercise. However, other components of different nature were shown to be specific to some of the problematic exercise conceptualizations on which the assessment instruments are based.
In the interest of reaching a consensus that allows to advance in this research field, further studies are needed to resolve which components are inherently problematic.
In the interest of reaching a consensus that allows to advance in this research field, further studies are needed to resolve which components are inherently problematic.
Previous research revealed a lack of comfort and knowledge regarding nuclear and radiological events among medical staff. We investigated the awareness and knowledge of radiological and nuclear events among the Japanese medical staff by comparing differences by occupation (doctors, nurses, and other medical specialists).
We conducted a cross-sectional questionnaire survey among trainees undergoing Japanese disaster medical training courses between July 2014 and February 2016. The differences by occupation were evaluated for all questions on awareness and knowledge concerning disasters or radiological and nuclear events and demographics.
Among the occupations, there were significant differences in the willingness to work onsite based on the types of disaster, familiarity with the national disaster medical response system, the accuracy rate of some knowledge about medical practice and the risk, and demographic characteristics such as practical experience and educational degree. The accuracy rates of responses to some questions on knowledge were very low in all occupations.
There were significant differences in awareness and knowledge of radiological and nuclear events by occupation. We believe that the results can be used to develop and modify the content of training courses on radiological and nuclear events to make such courses beneficial for each healthcare worker.
There were significant differences in awareness and knowledge of radiological and nuclear events by occupation. Tetrahydropiperine research buy We believe that the results can be used to develop and modify the content of training courses on radiological and nuclear events to make such courses beneficial for each healthcare worker.The interrelationships between HIV/AIDS and armed conflict are a complex phenomenon, and studies are rarely devoted to this area of research. Libya is the second-largest country in Africa that has been evoked with war since the NATO intervention in 2011. The country has also experienced one of the largest HIV outbreaks associated with the Bulgarian nurse's saga. The effect of the armed conflict on the dynamic spread of HIV is not yet well-known. The objectives of this study were to determine the impact of armed conflict on the epidemiological situation of HIV infection in Libya and to analyze the transmission dynamics of HIV strains during the conflict. We investigated the movement of people with HIV during the Libyan armed conflict, analyzed the HIV subtypes reported from 2011 to 2020, and followed up the infected cases all over the country. The patterns of HIV spread within the Libyan regions were traced, and the risk factors were determined during the conflict period. A total of 4,539 patients with HIV/AIDS were studied from the four regions during the Libyan conflict. Our data analysis indicated that Benghazi, the biggest city in the Eastern region, was the significant exporter of the virus to the rest of the country. The viral dissemination changes were observed within the country, particularly after 2015. A major virus flows from the Eastern region during the armed conflict associated with internally displaced people. This resulted in the dissemination of new HIV strains and accumulations of HIV cases in western and middle regions. Although, there were no significant changes in the national prevalence of HIV/AIDS. Our data highlight the factors that complicated the spread and dissemination of HIV during the armed conflict, which provide a better understanding of the interaction between them. This could be used to plan for effective preventive measures in tackling the spread of HIV in conflict and post-conflict settings.
Homepage: https://www.selleckchem.com/products/tetrahydropiperine.html
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