Answers from top 7 papers
01 Feb 2004-Journal of Human Nutrition and Dietetics
|In groups at risk of iron deficiency the advice should be to drink tea between meals and to wait at least 1 h after eating before drinking tea.|
25 Jan 2010-Circulation
|Green tea consumption can protect against the development of coronary atherosclerosis in Chinese male patients.|
01 Feb 2002-British Journal of Nutrition
|Results of population studies suggest that black tea can reduce cardiovascular risk.|
01 Mar 2011-Journal of Traditional Chinese Medicine
|Dan Wei Powder Tea Bag can restrain the aggregation of platelet in vivo and in vitro.|
01 May 2014-Toxicology International
|Green tea when combined with hydrochlorothiazide can reduce the associated side effects and exhibits myocardial protection.|
01 Jan 2006-Journal of Pharmacological Sciences
|Conclusively, the present experiments demonstrated that without centrifugation platelets can be separated from whole blood with some water-soluble polymers, such as PGA, PAA, and PMB, and that PMB has an advantage not to activate platelets.|
01 Jan 2002-Experimental and Applied Acarology
|Dissolution of platelets that have already aggregated can enhance control over the hemostatic system.|
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Was the DMFT index developped by WHO?
4 answersYes, the DMFT index was developed by the World Health Organization (WHO).What is population in a research study?
5 answersThe population in a research study refers to the defined group of individuals or cases that the study aims to investigate. It can be determined by geographical boundaries, such as a province or country, or by membership in specific organizations. The selection of the study population is crucial for achieving the objectives of the research project. The population parameters relevant to the research questions need to be identified in collaboration between the biomedical researcher and biostatistician. Various sampling methods, including probabilistic and non-probabilistic sampling, can be used to recruit participants from the study population. Population studies serve as resources for future unspecified research and require a distinct policy for access and return of research results.What would the blood alcohol content be for a 21 year old male after having two drinks?
3 answersThe blood alcohol content (BAC) for a 21-year-old male after having two drinks would depend on various factors such as the type and amount of alcohol consumed, the individual's body weight, metabolism, and tolerance. BAC estimates can be made assuming a constant alcohol clearance rate and complete absorption of the alcohol. However, it is important to note that BAC estimates may not be completely reliable, especially when blood samples are taken some hours after drinking. To accurately determine the BAC, it is recommended to use methods such as the Alcohol Dehydrogenase (ADH) method, which involves analyzing a blood sample obtained from the individual. Bioimpedance Spectroscopy (BIS) measurements have also shown potential in measuring BAC with high specificity and sensitivity under certain conditions. It is advisable to consult a healthcare professional or use reliable BAC testing devices for accurate measurements.What is the epidemiology of major depressive disorder and hypertension in Japan?
5 answersThe prevalence of hypertension in Japan is high, with over 60% of men aged 50 years or over and women aged 60 years or over having hypertension in 2016. However, the control rates of hypertension have improved over the years, with around 40% of hypertensive individuals having their blood pressure under control in 2016. Despite this improvement, the majority of hypertensives in Japan (72%) still have poor control of their blood pressure. In terms of major depressive disorder, the abstracts provided do not contain any information on its epidemiology in Japan. Therefore, we cannot provide any specific information on the epidemiology of major depressive disorder in Japan based on the abstracts provided.Why anomaly detection importance for bike trip data?
5 answersAnomaly detection is important for bike trip data because it allows for the identification of unusual events or behaviors that deviate from normal patterns. This can help in understanding crowd movements, commuter behaviors, and the need for repairs in bike sharing systems. By analyzing bike flow data, anomalies such as broken bikes can be detected in near real-time, ensuring that defective bikes are repaired promptly and frustration for users is minimized. Anomaly detection also enables a comprehensive analysis of bike flow data, revealing statistical patterns and regularities in spatial and temporal scales. This understanding is crucial for decision-making in traffic prediction, station placement, bike reallocation, and overall management and operation of bike sharing systems. Additionally, anomaly detection techniques can be applied to driving behavior data to increase safety, provide alarms, and avoid accidents in smart transport systems.Why anomaly detection need for bike trip data ?
5 answersAnomaly detection is needed for bike trip data because it allows us to identify unusual events or behaviors that deviate from normal patterns. Bike sharing systems collect a large amount of data on user trips and station status, which can provide insights into crowd movements and behaviors. By analyzing this data, we can detect and monitor spatial and temporal events that are out of the ordinary. Additionally, understanding the statistical patterns embedded in bike flow data is crucial for various management and operational tasks, such as traffic prediction, station placement, bike reallocation, and anomaly detection. Anomaly detection methods, including machine learning algorithms, can be applied to bike trip data to detect abnormalities in driving behavior and identify broken bikes that require repair. This helps improve the efficiency and safety of bike sharing systems, ensuring a better user experience.How to use anomaly detection to overcome challenges when using bike trip data?
5 answersAnomaly detection is used to overcome challenges when using bike trip data by identifying abnormal behaviors or events in the data. This can help in detecting broken bikes at stations in near real-time. Clustering-based detection methods can be applied to identify spatio-temporal events that deviate from normal everyday life using bike sharing data. A generic three-phase pipeline approach can be used for anomaly detection in high-dimensional network data, such as mobility data, by leveraging community detection, unsupervised dimensionality reduction, and clustering. Comprehensive analysis of bike flow data can reveal intrinsic structures and regularities, which can aid in anomaly detection and decision-making for bike sharing systems. Spatial outliers in bike sharing systems can be detected using methods like the improved version of Moran scatterplot, and resource distribution can be improved based on the presence of spatial outliers.What are the common saving habits of high school students?
5 answersHigh school students have various saving habits. Some students save regularly and have a higher proportion of money saved, which is influenced by the amount of money received, less money spent in the previous week, and the total amount of money saved in the previous week. Other students spend more on necessities and come from families with fewer resources and greater financial difficulties. Additionally, students who are discretionary spenders tend to come from families with higher income and socioeconomic status. Financial literacy and family environment also play a role in students' saving behavior, indirectly influencing their saving habits through subjective norms, perceived behavioral control, and behavioral intention.What are the effects of LGBT media portrayal on the public's perception of LGBT people?
5 answersThe portrayal of LGBT individuals in the media has a significant impact on the public's perception of them. Historically, media representations of LGBT people have been limited and often negative, perpetuating stereotypes and misconceptions. This has led to feelings of alienation and internalized transphobia among transgender individuals, as they are often misrepresented and marginalized in the media. However, there has been a transformative evolution in media coverage, reflecting a growing awareness and commitment toward inclusivity. Positive representation and increased visibility of transgender individuals in the media have helped foster a more inclusive society and promote their rights and dignity. These changes in media coverage have also had a profound impact on public perceptions, attitudes, and understanding of transgender issues. Overall, the media plays a crucial role in shaping public opinion and can contribute to the acceptance and inclusion of LGBT individuals in society.Why might vector plasmids favor self-ligation?
3 answersVector plasmids may favor self-ligation for several reasons. One reason is that self-ligation allows for the efficient maintenance and persistence of plasmids in bacterial populations, even in the absence of selection. Another reason is that self-ligation can facilitate the establishment of plasmids in target cells by promoting intrastrand synapsis between long inverted repeats (LIRs). Additionally, self-ligation can lead to high levels of transgene expression in cells that take up foreign DNA, which is desirable for gene transfer methods. Furthermore, self-ligation can ensure equivalent expression amounts of two proteins in a dual-expression carrier based on a plasmid vector. Overall, self-ligation of vector plasmids can enhance plasmid maintenance, promote plasmid establishment, increase transgene expression, and facilitate the expression of multiple genes.What are the traditional uses of Mimosa pudica in the Philippines?
5 answersMimosa pudica has traditional uses as an anesthetic, antidepressant, sedative, and antialopecic in the Philippines. It is also used as a medicinal plant with pharmacological properties such as antidiabetic, antimicrobial, antiulcer, and anti-inflammatory effects. Additionally, the plant has been used for the synthesis of silver nanoparticles, which have potential applications in various fields. Furthermore, there are reports of Mimosa pudica being used as a substance of abuse, either on its own or mixed with marijuana, highlighting its potential for misuse. The plant extracts from Mimosa pudica have been found to possess free radical scavenging potential, making them a potential source of antioxidants for combating aging and oxidative stress-related degenerative diseases.