A healthy balanced diet and a healthy lifestyle are very closely linked.Whichever the biological link is,it is overwhelming to understand.Modifications in how food is served,divided up,and supervised,such as the intro...A healthy balanced diet and a healthy lifestyle are very closely linked.Whichever the biological link is,it is overwhelming to understand.Modifications in how food is served,divided up,and supervised,such as the introduction of nutritional hygiene standards,food handling practices,and the entry of macro and micronutrients,have had a big impact on human health in the last few decades.Growing evidence indicates that our gut microbiota may affect our health in ways that are at least in part influenced by our diet and the ingredients used in the preparation of our food and drinks,as well as other factors.As a new problem,this one is getting a lot of attention,but it would be hard to figure out how the gut microbiota and nutrition molecules work together and how they work in certain situations.Genetic analysis,metagenomic characterization,configuration analysis of foodstuffs,and the shift to digital health information have provided massive amounts of data that might be useful in tackling this problem.Machine learning and deep learning methods will be employed extensively as part of this research in order to blend complicated data frames and extract crucial information that will be capable of exposing and grasping the incredibly delicate links that prevail between diet,gut microbiome,and overall wellbeing.Nutrition,well-being,and gut microorganisms are a few subjects covered in this field.It takes into account not only databases and high-speed technology,but also virtual machine problem-solving skills,intangible assets,and laws.This is how it works:Computer vision,data mining,and analytics are all discussed extensively in this study piece.We also point out limitations in existing methodologies and new situations that discovered in the context of current scientific knowledge in the decades to come.We also provide background on"bioinformatics"algorithms;recent developments may seem to herald a revolution in clinical research,pushing traditional techniques to the sidelines.Furthermore,their true potential rests in their ability to work in conjunction with,rather than as a substitute for,traditional research hypotheses and procedures.When new metadata propositions are made by focusing on easily understandable frameworks,they will always need to be rigorously validated and brought into question.Because of the huge datasets available,assumption analysis may be used to complement rather than a substitute for more conventional concept-driven scientific investigation.It is only by employing all of us that we will all increase the quality of evidence-based practice.展开更多
In this paper, the open queueing network model is proposed for solving the problem of public transportation in cities. The vertices of the networks(i.e., the bus stops) are determined by means of the fuzzy clusteri...In this paper, the open queueing network model is proposed for solving the problem of public transportation in cities. The vertices of the networks(i.e., the bus stops) are determined by means of the fuzzy clustering method. The arcs (i.e., the paths of the public transportation) can be set up by using the shortest path model in the time sense or the 0 1 integer programming method.Applying the statistics method, we can calculate the parameters(such as the passenger flow's distribution, passenger flow's transition probability, mean waiting time for the bus etc. ) of the public transportation network. In this paper, we suggest to divide the network into two or three stages to implement the public transportation system in the form of ``frog jumping' fast transfer and ``permeation' fast dispersion.Combining the computer simulation and the evaluation of the achievement and effect of public transportation system, we modify the model so as to solve the public transportation problem better.展开更多
In the peroid of confusion after the Korean War, there was an absolute shortage in the volume of food. The intake of energy and all other nutrients fell short of the recommended dietary intake. To solve the food short...In the peroid of confusion after the Korean War, there was an absolute shortage in the volume of food. The intake of energy and all other nutrients fell short of the recommended dietary intake. To solve the food shortage, there were many food assistant programs through the government channel. With the economic developments during past years, now, there are enough foods for everyone. Thus, food assistant program, which has been the only nutrition program in the government, is no longer needed except for low-income families.Currently, there are not enough nutrition programs in the government. In 1994, about 30 public health center start nutrition programs with the help of Korean Dietetic Association.In this study, kinds of nutrition programs, age, sex and number of participants, the content of programs are studied. The effects of nutrition programs are partially evaluated.Also, problems with current nutrition programs are discussed. Finally, future directions of nutrition programs in the public health centers are discussed展开更多
文章通过对美国公共图书馆Born to Read(出生即阅读)婴幼儿早期阅读推广活动的产生背景、服务内容、服务特点及价值内涵进行分析,探讨美国公共图书馆开展婴幼儿早期阅读推广活动的经验和启示。Born to Read早期阅读推广具有主体多元化...文章通过对美国公共图书馆Born to Read(出生即阅读)婴幼儿早期阅读推广活动的产生背景、服务内容、服务特点及价值内涵进行分析,探讨美国公共图书馆开展婴幼儿早期阅读推广活动的经验和启示。Born to Read早期阅读推广具有主体多元化、关注0岁婴幼儿、以培养阅读能力和阅读兴趣为主等特点,对引导亲子阅读、保障婴幼儿阅读权利、推动婴幼儿早期阅读等具有价值。我国公共图书馆应引导家长开展0岁婴幼儿早期阅读活动,为弱势群体家庭提供早期阅读服务,推广婴幼儿早期阅读的品牌活动。展开更多
Purpose: One of the main indicators of scientific production is the number of papers published in scholarly journals. Turkey ranks 18th place in the world based on the number of scholarly publications. The objective ...Purpose: One of the main indicators of scientific production is the number of papers published in scholarly journals. Turkey ranks 18th place in the world based on the number of scholarly publications. The objective of this paper is to find out if the monetary support program initiated in 1993 by the Turkish Scientific and Technological Research Council (TUBITAK) to incentivize researchers and increase the number, impact, and quality of international publications has been effective in doing so.Design/methodology/approach: We analyzed some 390,000 publications with Turkish affiliations listed in the Web of Science (WoS) database between 1976 and 2015 along with about 157,000 supported ones between 1997 and 2015. We used the interrupted time series (ITS) analysis technique (also known as "quasi-experimental time series analysis" or "intervention analysis") to test if TOBITAK's support program helped increase the number of publications. We defined ARIMA (1,1,0) model for ITS data and observed the impact of TOBiTAK's support program in 1994, 1997, and 2003 (after one, four and 10 years of its start, respectively). The majority of publications (93%) were full papers (articles), which were used as the experimental group while other types of contributions functioned as the control group. We also carried out a multiple regression analysis.Findings: TUBITAK's support program has had negligible effect on the increase of the number of papers with Turkish affiliations. Yet, the number of other types of contributions continued to increase even though they were not well supported, suggesting that TUBITAK's support program is probably not the main factor causing the increase in the number of papers with Turkish affiliations. Research limitations: Interrupted time series analysis shows if the "intervention" has had any significant effect on the dependent variable but it does not explain what caused the increase in the number of papers if it was not the intervention. Moreover, except the"intervention", other "event(s)" that might affect the time series data (e.g., increase in the number of research personnel over the years) should not occur during the period of analysis, a prerequisite that is beyond the control of the researcher. Practical implications: TUBITAK's "cash-for-publication" program did not seem to have direct impact on the increase of the number of papers published by Turkish authors, suggesting that small amounts of payments are not much of an incentive for authors to publish more. It might perhaps be a better strategy to concentrate limited resources on a few high impact projects rather than to disperse them to thousands of authors as "micropayments." Originality/value: Based on 25 years' worth of payments data, this is perhaps one of the first large-scale studies showing that "cash-for-publication" policies or "piece rates" paid to researchers tend to have little or no effect on the increase of researchers' productivity. The main finding of this paper has some implications for countries wherein publication subsidies are used as an incentive to increase the number and quality of papers published in international journals. They should be prepared to consider reviewing their existing support programs (based usually on bibliometric measures such as journal impact factors) and revising their reward policies.展开更多
The Chinese government has decided that the installed capacity of nuclear power plants(NPP)will reach 40 GW by the year of 2020,while other 18 GW under construction,and the electricity produced by NPPs will make up 4%...The Chinese government has decided that the installed capacity of nuclear power plants(NPP)will reach 40 GW by the year of 2020,while other 18 GW under construction,and the electricity produced by NPPs will make up 4%of the whole installed capacity. In such case,the spent fuel generated from those NPPs will reach 82630 tons by 2050.The Chinese policy is that,the spent fuel from light water reactors will be reprocessed first,followed by verification and展开更多
Objectives: To assess the received suspected adverse events occurring upon treatment with drugs and vaccines, at National Centre for Pharmacovigilance, in Togo, from 2009 to 2016. Methods: A crossover study was conduc...Objectives: To assess the received suspected adverse events occurring upon treatment with drugs and vaccines, at National Centre for Pharmacovigilance, in Togo, from 2009 to 2016. Methods: A crossover study was conducted in order to collect data about patients, drugs, suspected adverse events and notifiers. Suspected adverse events were classified using Med DRA 19.1. Notification’s circumstances were classified into Public Health Programs’ campaigns and routine practice. Data were collated into Excel spreadsheet and processed with SPSS software. Key Findings: Regional distribution is irregular. Of the 322 collected report forms, paramedics have notified 60.8% of the cases. Adult patients were the most represented (70.2%). Public Health Programs campaigns provided 72.6% versus 27.4% for routine practice including Neglected Tropical Diseases (41.4%), immunization (27.7%), tuberculosis (25.9%) and 4.5% for HIV. Skin disorders were the most prevalent suspected adverse events (147 sheets;45.7%) followed by general disorders and administration site disorders (29.8%) and gastro-intestinal disorders (12.7%). General anti-infective drugs for systemic use, antiparasites, and insecticides were the most reported class of medications (161 sheets;44.7%). Conclusions: A thorough follow-up of pharmacovigilance launched activities is needed to build a sustainable adverse effect’s surveillance system and routine practice has to be strengthened.展开更多
In this practicum, the program objective is to improve the health of Joseph’s Storehouse food bank recipients’ community in the Blessing Center (New Hope Free Clinic and Joseph’s food bank), Redlands, California. T...In this practicum, the program objective is to improve the health of Joseph’s Storehouse food bank recipients’ community in the Blessing Center (New Hope Free Clinic and Joseph’s food bank), Redlands, California. The approach is to implement primary prevention and secondary prevention activity to increase knowledge and skills of the clients and their families of how to prevent and control type 2 diabetes through a wellness program in the clinic. The practicum began January 2015 and ended April 2015. 53 food bank recipients (non-diabetic and diabetic) were recruited. A quasi-experimental study design, pre-test/posttest, was used for the study. The impact of the program targeted diverse audience, high risk ethnic groups, and improved knowledge, awareness, management, and positive behavioral change. The study implication for public health promotion specialists is to narrow venues targeting the most vulnerable populations to promote and reduce type 2 diabetes.展开更多
China is facing important challenges stemming from increasing rates of urbanization and aging population. To pursue its "harmonious society" objective without disrupting its path to development major overhauls are n...China is facing important challenges stemming from increasing rates of urbanization and aging population. To pursue its "harmonious society" objective without disrupting its path to development major overhauls are necessary in education, health, social security and above all in public services, particularly in electricity. China's electricity industry is at the crossroads. To meet the challenges, new models of regulation should be developed and applied. This paper examines the current state of the Chinese electricity industry and the burden it imposes on its public finances. It also reviews and critically examines the existing FIT (Europe) and RPS (USA) models of regulation and of promotion of renewable energies and advances on whether they are advantageous for China. It is argued that the electricity industry has already undergone important reforms but cross subsidies still exist, equivalent to 1.5% of China's GDP. Drastic rate rebalancing policies will create sustainability problems and a deterioration of China's public finances. To avoid such negative results, China has to further reform its electricity industry gradually and use wisely FIT-type programs to bring renewables into the grid and fulfill the Kyoto Protocol展开更多
There are increasing calls for engaging citizens in the development of future outlooks. At the same time, large-scale public engagement activities warrant appropriate methods for analyzing their outcomes. This paper r...There are increasing calls for engaging citizens in the development of future outlooks. At the same time, large-scale public engagement activities warrant appropriate methods for analyzing their outcomes. This paper reviews how topic modeling could provide such a methodology, which both accounts for all textual data collected in public engagement activities, however large in scope, yet also allows for meaningful topical analysis. It compares topic modeling results concerning a corpus of 179 citizen visions from 30 European countries on desirable and sustainable futures to those acquired through deliberative analysis. While both methodologies contend that European citizens' outlook consists of education, sustainability in the economy, health concerns, and fairness in communities, and the particular strengths of topic modeling relate to its documentability, repeatability, cost efficiency, and scalability. Topic modeling can also be considered to support public engagement analytically from the perspective of knowledge formation rather than that of common sense.展开更多
文摘A healthy balanced diet and a healthy lifestyle are very closely linked.Whichever the biological link is,it is overwhelming to understand.Modifications in how food is served,divided up,and supervised,such as the introduction of nutritional hygiene standards,food handling practices,and the entry of macro and micronutrients,have had a big impact on human health in the last few decades.Growing evidence indicates that our gut microbiota may affect our health in ways that are at least in part influenced by our diet and the ingredients used in the preparation of our food and drinks,as well as other factors.As a new problem,this one is getting a lot of attention,but it would be hard to figure out how the gut microbiota and nutrition molecules work together and how they work in certain situations.Genetic analysis,metagenomic characterization,configuration analysis of foodstuffs,and the shift to digital health information have provided massive amounts of data that might be useful in tackling this problem.Machine learning and deep learning methods will be employed extensively as part of this research in order to blend complicated data frames and extract crucial information that will be capable of exposing and grasping the incredibly delicate links that prevail between diet,gut microbiome,and overall wellbeing.Nutrition,well-being,and gut microorganisms are a few subjects covered in this field.It takes into account not only databases and high-speed technology,but also virtual machine problem-solving skills,intangible assets,and laws.This is how it works:Computer vision,data mining,and analytics are all discussed extensively in this study piece.We also point out limitations in existing methodologies and new situations that discovered in the context of current scientific knowledge in the decades to come.We also provide background on"bioinformatics"algorithms;recent developments may seem to herald a revolution in clinical research,pushing traditional techniques to the sidelines.Furthermore,their true potential rests in their ability to work in conjunction with,rather than as a substitute for,traditional research hypotheses and procedures.When new metadata propositions are made by focusing on easily understandable frameworks,they will always need to be rigorously validated and brought into question.Because of the huge datasets available,assumption analysis may be used to complement rather than a substitute for more conventional concept-driven scientific investigation.It is only by employing all of us that we will all increase the quality of evidence-based practice.
文摘In this paper, the open queueing network model is proposed for solving the problem of public transportation in cities. The vertices of the networks(i.e., the bus stops) are determined by means of the fuzzy clustering method. The arcs (i.e., the paths of the public transportation) can be set up by using the shortest path model in the time sense or the 0 1 integer programming method.Applying the statistics method, we can calculate the parameters(such as the passenger flow's distribution, passenger flow's transition probability, mean waiting time for the bus etc. ) of the public transportation network. In this paper, we suggest to divide the network into two or three stages to implement the public transportation system in the form of ``frog jumping' fast transfer and ``permeation' fast dispersion.Combining the computer simulation and the evaluation of the achievement and effect of public transportation system, we modify the model so as to solve the public transportation problem better.
文摘In the peroid of confusion after the Korean War, there was an absolute shortage in the volume of food. The intake of energy and all other nutrients fell short of the recommended dietary intake. To solve the food shortage, there were many food assistant programs through the government channel. With the economic developments during past years, now, there are enough foods for everyone. Thus, food assistant program, which has been the only nutrition program in the government, is no longer needed except for low-income families.Currently, there are not enough nutrition programs in the government. In 1994, about 30 public health center start nutrition programs with the help of Korean Dietetic Association.In this study, kinds of nutrition programs, age, sex and number of participants, the content of programs are studied. The effects of nutrition programs are partially evaluated.Also, problems with current nutrition programs are discussed. Finally, future directions of nutrition programs in the public health centers are discussed
文摘文章通过对美国公共图书馆Born to Read(出生即阅读)婴幼儿早期阅读推广活动的产生背景、服务内容、服务特点及价值内涵进行分析,探讨美国公共图书馆开展婴幼儿早期阅读推广活动的经验和启示。Born to Read早期阅读推广具有主体多元化、关注0岁婴幼儿、以培养阅读能力和阅读兴趣为主等特点,对引导亲子阅读、保障婴幼儿阅读权利、推动婴幼儿早期阅读等具有价值。我国公共图书馆应引导家长开展0岁婴幼儿早期阅读活动,为弱势群体家庭提供早期阅读服务,推广婴幼儿早期阅读的品牌活动。
文摘Purpose: One of the main indicators of scientific production is the number of papers published in scholarly journals. Turkey ranks 18th place in the world based on the number of scholarly publications. The objective of this paper is to find out if the monetary support program initiated in 1993 by the Turkish Scientific and Technological Research Council (TUBITAK) to incentivize researchers and increase the number, impact, and quality of international publications has been effective in doing so.Design/methodology/approach: We analyzed some 390,000 publications with Turkish affiliations listed in the Web of Science (WoS) database between 1976 and 2015 along with about 157,000 supported ones between 1997 and 2015. We used the interrupted time series (ITS) analysis technique (also known as "quasi-experimental time series analysis" or "intervention analysis") to test if TOBITAK's support program helped increase the number of publications. We defined ARIMA (1,1,0) model for ITS data and observed the impact of TOBiTAK's support program in 1994, 1997, and 2003 (after one, four and 10 years of its start, respectively). The majority of publications (93%) were full papers (articles), which were used as the experimental group while other types of contributions functioned as the control group. We also carried out a multiple regression analysis.Findings: TUBITAK's support program has had negligible effect on the increase of the number of papers with Turkish affiliations. Yet, the number of other types of contributions continued to increase even though they were not well supported, suggesting that TUBITAK's support program is probably not the main factor causing the increase in the number of papers with Turkish affiliations. Research limitations: Interrupted time series analysis shows if the "intervention" has had any significant effect on the dependent variable but it does not explain what caused the increase in the number of papers if it was not the intervention. Moreover, except the"intervention", other "event(s)" that might affect the time series data (e.g., increase in the number of research personnel over the years) should not occur during the period of analysis, a prerequisite that is beyond the control of the researcher. Practical implications: TUBITAK's "cash-for-publication" program did not seem to have direct impact on the increase of the number of papers published by Turkish authors, suggesting that small amounts of payments are not much of an incentive for authors to publish more. It might perhaps be a better strategy to concentrate limited resources on a few high impact projects rather than to disperse them to thousands of authors as "micropayments." Originality/value: Based on 25 years' worth of payments data, this is perhaps one of the first large-scale studies showing that "cash-for-publication" policies or "piece rates" paid to researchers tend to have little or no effect on the increase of researchers' productivity. The main finding of this paper has some implications for countries wherein publication subsidies are used as an incentive to increase the number and quality of papers published in international journals. They should be prepared to consider reviewing their existing support programs (based usually on bibliometric measures such as journal impact factors) and revising their reward policies.
文摘The Chinese government has decided that the installed capacity of nuclear power plants(NPP)will reach 40 GW by the year of 2020,while other 18 GW under construction,and the electricity produced by NPPs will make up 4%of the whole installed capacity. In such case,the spent fuel generated from those NPPs will reach 82630 tons by 2050.The Chinese policy is that,the spent fuel from light water reactors will be reprocessed first,followed by verification and
文摘Objectives: To assess the received suspected adverse events occurring upon treatment with drugs and vaccines, at National Centre for Pharmacovigilance, in Togo, from 2009 to 2016. Methods: A crossover study was conducted in order to collect data about patients, drugs, suspected adverse events and notifiers. Suspected adverse events were classified using Med DRA 19.1. Notification’s circumstances were classified into Public Health Programs’ campaigns and routine practice. Data were collated into Excel spreadsheet and processed with SPSS software. Key Findings: Regional distribution is irregular. Of the 322 collected report forms, paramedics have notified 60.8% of the cases. Adult patients were the most represented (70.2%). Public Health Programs campaigns provided 72.6% versus 27.4% for routine practice including Neglected Tropical Diseases (41.4%), immunization (27.7%), tuberculosis (25.9%) and 4.5% for HIV. Skin disorders were the most prevalent suspected adverse events (147 sheets;45.7%) followed by general disorders and administration site disorders (29.8%) and gastro-intestinal disorders (12.7%). General anti-infective drugs for systemic use, antiparasites, and insecticides were the most reported class of medications (161 sheets;44.7%). Conclusions: A thorough follow-up of pharmacovigilance launched activities is needed to build a sustainable adverse effect’s surveillance system and routine practice has to be strengthened.
文摘In this practicum, the program objective is to improve the health of Joseph’s Storehouse food bank recipients’ community in the Blessing Center (New Hope Free Clinic and Joseph’s food bank), Redlands, California. The approach is to implement primary prevention and secondary prevention activity to increase knowledge and skills of the clients and their families of how to prevent and control type 2 diabetes through a wellness program in the clinic. The practicum began January 2015 and ended April 2015. 53 food bank recipients (non-diabetic and diabetic) were recruited. A quasi-experimental study design, pre-test/posttest, was used for the study. The impact of the program targeted diverse audience, high risk ethnic groups, and improved knowledge, awareness, management, and positive behavioral change. The study implication for public health promotion specialists is to narrow venues targeting the most vulnerable populations to promote and reduce type 2 diabetes.
文摘China is facing important challenges stemming from increasing rates of urbanization and aging population. To pursue its "harmonious society" objective without disrupting its path to development major overhauls are necessary in education, health, social security and above all in public services, particularly in electricity. China's electricity industry is at the crossroads. To meet the challenges, new models of regulation should be developed and applied. This paper examines the current state of the Chinese electricity industry and the burden it imposes on its public finances. It also reviews and critically examines the existing FIT (Europe) and RPS (USA) models of regulation and of promotion of renewable energies and advances on whether they are advantageous for China. It is argued that the electricity industry has already undergone important reforms but cross subsidies still exist, equivalent to 1.5% of China's GDP. Drastic rate rebalancing policies will create sustainability problems and a deterioration of China's public finances. To avoid such negative results, China has to further reform its electricity industry gradually and use wisely FIT-type programs to bring renewables into the grid and fulfill the Kyoto Protocol
文摘There are increasing calls for engaging citizens in the development of future outlooks. At the same time, large-scale public engagement activities warrant appropriate methods for analyzing their outcomes. This paper reviews how topic modeling could provide such a methodology, which both accounts for all textual data collected in public engagement activities, however large in scope, yet also allows for meaningful topical analysis. It compares topic modeling results concerning a corpus of 179 citizen visions from 30 European countries on desirable and sustainable futures to those acquired through deliberative analysis. While both methodologies contend that European citizens' outlook consists of education, sustainability in the economy, health concerns, and fairness in communities, and the particular strengths of topic modeling relate to its documentability, repeatability, cost efficiency, and scalability. Topic modeling can also be considered to support public engagement analytically from the perspective of knowledge formation rather than that of common sense.