Search results

The purpose of this paper is to describe and discuss the use of Chinese medicine in the prevention and treatment of coronavirus disease 2019 (COVID-19) in China and Asia.

This paper provides a brief overview of the COVID-19. Based on the syndrome differentiation (辨證論治), the concept of clearing heat and detoxifying lung in traditional Chinese medicine is used to prevent and treat COVID-19 through restoring the vital qi (正氣) in human body and regulating the lung as well as spleen to strengthen the immune system. Traditional Chinese medicine has been used as a complementary therapy for the possible intervention of COVID-19 including traditional Chinese herbal decoctions, Chinese traditional patent medicines, acupuncture and moxibustion as well as the traditional health exercises in China and parts of Asia.

Traditional Chinese medicine plays a significant role in the prevention and treatment of COVID-19 pandemic. The infection cases of China are around 80,000 and a steady decline compared with the USA which has 5,000,000 infection cases and continuous increases. It is shown that more than 90% of patients recovered after the treatment of traditional Chinese herbal decoctions and Chinese traditional patent medicines without any side-effect compared to the use of Remdesivir (GS-5734). Acupuncture (針灸) and moxibustion (艾灸) stimulate the immune and nervous systems for preventing infectious diseases. Taichi (太極) and Baduanjin (八段錦) as the auxiliary aerobic exercise under the theory of Chinese medicine can enhance the immune system and improve the lung function. Thus, an integration of traditional Chinese Medicine and Western medicine is the best strategy for the prevention, treatment and control of COVID-19 pandemic in the future.

This paper describes traditional Chinese medicine as an effective way for the prevention and treatment of COVID-19.

Substance abuse is a major public health concern, with over millions of people suffering from it worldwide. Although there is an abundance of treatment options, many of these rehabilitative trajectories are subject to “drop-out”. In addition, “drop-out” is a significant risk factor for relapse. There is an urgent demand for effective treatment, which would enable patients to reduce abuse and prevent relapse. Takiwasi is an addiction treatment centre that combines traditional Amazonian plant medicine with conventional western medicine and psychotherapy. The purpose of this paper is to explore whether socio-demographics factors, such as education level and occupation, psychiatric comorbidities and primary drug use, are associated with treatment non-completion of Ayahuasca (AYA)-assisted addiction therapy.

Data on the first treatment episode of 121 patients were collected from the patient database from the years 2012 to 2017. To determine whether there is an association between the variables of interest and treatment non-completion, a χ² analysis and a logistic regression analysis were performed.

Of the 121 patients analysed, 48.2 per cent completed their treatment, whilst 51.8 per cent did not. Students compared to those who are employed showed significantly higher odds for treatment non-completion (p=0.006; OR=3.7; 95% CI=1.5–9.6). Other variables in the multivariable analysis showed no significant relationship with treatment non-completion. While several limitations restricted the study, the findings suggest that the AYA-assisted treatment in Takiwasi may benefit from additional support for patients who are students. Moreover, it is advised to conduct more long-term follow-up of patients in order to gain better insight into the outcome of treatment at an AYA-assisted treatment centre.

It appears that AYA-assisted therapy in a therapeutic community is a feasible type of treatment for addiction, for which further studies should elucidate the role of motivation in relation to socio-demographic factors and type of addiction in the risk of treatment non-completion.

Micropollutants in the aquatic environment pose threats to both ecosystems and human health. Traditional wastewater treatment plants (WWTP) reduce some micropollutants, especially those who adhere to sludge or suspended matter. The hydrophilic micropollutants, on the other side, which may be non-biodegradable and resistant to UV-treatment etc. are typically transported untreated into the water recipients. This paper contains a literature study on the state of the art of advanced wastewater treatment technologies for reducing micropollutants such as pharmaceutical degradation products, personal care products, surfactants and industrial chemicals including heavy metals.

This literature study is completed using the most extensive and expansive literature database in the World to date, Google Scholar (GS). Published papers in recognized scientific journals are sought out in GS, and for relevance for this literature study, papers published here from 2016 and onwards (the last 5 years) have been chosen to eliminate irrelevant studies.

The result of the study is that there are many promising technologies on the market or emerging; however, no one solution treats every micropollutant equally well. Since advanced technologies often require expensive investments for municipalities and companies, it is important to identify which micropollutants pose the highest risk towards human health and the environment, because choosing systems to eliminate them all is not economically wise, and even choosing a system combining the existing technologies can be more expensive than states, municipalities and private companies are capable of investing in.

The research is limited to published papers on GS, which may omit certain papers published in closed databases not sharing their work on GS.

The practical implications are that practitioners cannot find go-to solutions based on the conclusions of the research and thus need to use the results to investigate their own needs further in order to make the wisest decision accordingly. However, the paper outlines the state of the art in advanced wastewater treatment and explains the benefits and downsides of the technologies mentioned; however, more research in the field is required before practitioners may find a proper solution to their specific issues.

The social implications are that the consequences of introducing a removal of micropollutants from the water environment can ultimately effect the citizens/consumers/end-users through added costs to the tariffs or taxes on advanced wastewater treatment, added costs on everyday goods, wares and products and added costs on services that uses goods, wares and products that ultimately produces micropollutants affecting the water environment.

This paper presents a much needed state of the art regarding the current advanced technologies to mitigate micropollutants in wastewater. The overview the paper provides supports politics on national as well as international levels, where larger unions such as the EU has stated that advanced wastewater treatment will be the next step in regulating pollutants for aquatic outlet.

Managerial mindset and cognitive bias can be barriers to any transformation strategy. In the case of telework, most employees express willingness to telework, yet, few firms formally enable it during regular business hours. The status quo is a daily commute to the traditional workplace. The purpose of this paper is to test framing interventions designed to harness cognitive biases through choice architecture.

Drawing upon behavioral strategy and prospect theory, this paper presents two studies: quasi-experiments with 146 senior business students and experiments in the field (replication using random assignment and extension) with 84 senior decision makers. Both studies use a one-way between-subjects design and chi-square analysis.

Findings support the proposition that, although cognitive biases can act as barriers to transformation, they can be re-framed through strategic interventions. Specifically, in both studies, there was a drastic increase in adoption simply by changing the way the choice was presented. Findings in the lab were cross-validated in the field. Observed shifts in preferences provide evidence that embedding the right reference point within communications can frame a decision choice more favorably. Findings also support that a bias for an implicitly perceived status quo can be overruled through an explicitly stated reference point.

It is an assumption of behavioral strategy that most individuals simply respond to the gains/loss framing without being influenced by other psychological or contextual factors, and though these effects dissipate through aggregation, it is a limitation nonetheless. Indeed, using an individual construct to explain an organizational phenomenon is a well-debated topic in the field of strategy, with proponents on both sides. The distinguishing factor, here, is that behavioral strategists are only interested in results at the aggregated level.

Practitioners attempting to roll out telework adoption, or any transformation, now have proven strategies for designing frames of reference that intervene against and harness the power of loss aversion and the status quo.

This paper measures micro processes that have an effect at the macro level. It explains systematic aversion to adoption as an aggregation of decision-making behavior that is seemingly subconscious. In doing so, it highlights the impact of bounded rationality perpetuated through social systems, while measuring effective interventions designed to make systematic behavior more predictable.

A novel contribution is made in designing/testing a new frame for systematic resistance to change that frames the status quo as the losing prospect. In this frame, the perceived loss is in the choice not to change, and loss aversion proves to be an effective tool for facilitating systematic change.

This study examines the decision process of household members in visiting local health care providers. It also explores the effect of various household level socioeconomic factors on motivating rural people to visit traditional versus modern health care providers in rural Bangladesh. I used the Population, Environment, and Poverty data collected from eight villages of rural Bangladesh in 1998 in addition to self-collected ethnographic survey information. The data suggest that a large majority of rural households attempt to visit locally available untrained health care providers first, and then trained doctors as the sickness worsens. The data also suggest that socio-cultural and economic factors are important in shaping their decision to visit traditional as opposed to modern health care providers. Training the traditional and untrained health care providers will be a wise option to ensure health care to the villagers.

Align Inc. is a start-up company with a revolutionary, patent-protected new technology for straightening teeth called Invisalign. Invisalign is a set of invisible plastic aligners made to each patient's specific needs that substitute for metal or ceramic braces in adults (it is not sold for children's orthodontic needs). The company has created tremendous consumer awareness and affect for its product, yet sales results are dismal. Requires the reader to analyze the reasons for such poor sales and what to do to remedy the problem.

To examine distribution channel issues as well as the marketing mix for a new product introduction.

The proposed DHHFLOWLAD is used to design a recommendation system, which aims to provide the most appropriate treatment to the patient under a double hierarchy hesitant fuzzy linguistic environment.

Based on the ordered weighted distance measure and logarithmic aggregation, we first propose a double hierarchy hesitant fuzzy linguistic ordered weighted logarithmic averaging distance (DHHFLOWLAD) measure in this paper.

A case study is presented to illustrate the practicability and efficiency of the proposed approach. The results show that the recommendation system can prioritize TCM treatment plans effectively. Moreover, it can cope with pattern recognition problems efficiently under uncertain information environments.

An expert system is proposed to combat COVID-19 that is an emerging infectious disease causing disruptions globally. Traditional Chinese medicine (TCM) has been proved to relieve symptoms, improve the cure rate, and reduce the death rate in clinical cases of COVID-19.

This paper aims to present the theoretical foundation and practical approach of “open-target addiction treatment” (OTAT). Traditional treatment programmes are usually-oriented towards fixed predefined goals (abstinence, reduced consumption and harm reduction) and often focus on one substance only (e.g. alcohol). However, as a rule, people who use drugs consume several substances and sometimes additionally exhibit behavioural addictions. For many of these addictions, there is more or less motivation for change, but commonly it is not abstinence as a consistent goal. The paradigm of OTAT systematically considers multi-substance use, expects high readiness to change and is aware that commonly clients lack the willingness to abstain permanently.

The theory and practice of OTAT involve three components, namely, first, to create a systematic inventory of all psychoactive substances consumed and addictive behaviours performed, second, to clarify, which substance-related change goals clients pursue and third, to choose adequate treatment options matching the substance-specific goals of the clients. Furthermore, OTAT includes didactic tools to support working along with these three steps (e.g. a set of cards to gain an overview over the psychoactive substances used and addictive behaviours performed).

The systematic implementation of OTAT requires fundamentally different concepts about addiction and its treatment, specific competencies of the staff and a corresponding portfolio of interventions within the treatment facilities.

Future research should focus more on patients’ goal preferences and their impact on their willingness to take up treatment and its outcomes.

To implement OTAT treatment, institutions have to undergo a systematic process of team and organizational development.

OTAT has the potential to reduce the treatment gap and to serve severely addicted individuals in a more comprehensive way.

The OTAT approach has not been described in the addiction treatment literature so far.

The purpose of this paper is to investigate the role of family structure on child labor by comparing children of nuclear families headed by the father with children of single-mother families headed by the divorced mother.

This paper uses data from Brazilian urban areas provided by the Brazilian Demographic Census of 2010. The empirical approach consists of the estimation of three treatment effect models: the Average Treatment Effect, IV Treatment Effect and Two-Stage Estimator proposed by Lewbel (2012).

The main findings show that children of single-mother families headed by divorced mothers are more likely to work, compared to children living with both parents. This paper found evidence of a direct effect of family structure parents’ determinant on child participation in labor. The main hypothesis is that the absence of the father paired with exposure to family stress arising from marital dissolution is an indicator toward child labor.

This study implies that in order to combat child labor effectively, it is important to understand deeply its several causes and consider ruptures in family structure, such as divorce, as one of these factors. In addition, location and family’s characteristics also play a role on the decision of child labor. For instance, boys living at metropolis areas have less chance to work. Family’s head education and non-work income affects positively the child well-being by reducing the probability of child labor. On the other hand, the number of siblings increases the chance of child labor. Finally, the results of this study suggest policies to raise awareness among parents about the negative effects of child labor on children during both childhood and adulthood, and that social policies need to act beyond legislation and enforcement, but including family mobilization.

This paper estimates the impact of family structure on child labor using an empirical approach to deal with the endogeneity problem of the treatment.

This paper aims to evaluate the consumer acceptance of Bordô and Isabel wines from innovative winemaking in order to increase red wine consumption by consumers to obtain nutritional benefits.

All wines were produced by a standard procedure of vinification. Pre‐drying treatment aimed at drying the grapes up to 22°Brix and static pomace wines presented the constant contact between the must and pomace. Sensory acceptance was carried out by 80 consumers who evaluated eight samples (six experimental wines and two commercial wines) concerning the attributes: appearance, aroma, body, flavor and overall acceptance.

Experimental wines presented higher acceptance when compared to commercial wines and cluster analysis shows the splitting of consumer preferences, highlighting the higher acceptance of traditional Bordô wine and static pomace samples in all sensory attributes. Pre‐drying process enhances the concentration of coloured compounds, to highlight the appearance acceptance of these samples.

Although this paper has limited the consumer acceptance of red table wines, the innovative treatments will be applied in Vitis vinifera red wines.

The wide acceptance of static pomace and pre‐drying wines has promoted further information about innovative winemaking that can be applied in Brazilian and worldwide wineries.

The innovative treatments can change sensorial features of wines and therefore influence the choice of consumers as well as enhancing the nutritional benefits of red wines.

The pre‐drying and static pomace winemaking are the novelty of this study and the wide acceptance of the sensory attributes concerning these treatments indicates the potential for application in wineries.