Cosmeceuticals and Nanotechnology in Beauty Care Products

New technologies are booming in personal care industry. Nowadays, Cosmeceuticals as well as Nanotechnology are the favorite areas of interest in cosmetic industries. Cosmetic industry are updating and improving rapidly by implementing new trends and technologies. The term Cosmeceuticals was first coined in 1984 by Albert Kligman. The word Cosmeceuticals is fusion of cosmetics and pharmaceuticals. It means they possess combination of cosmetic and pharmaceutical properties. In simple words cosmecuticals are applied topically as cosmetics but as we know that they contain pharmaceutical properties too so they affect the skin's biological function. In last 2 to 3 decades cosmeceutical market is booming in the cosmetic as well as pharmaceutical industries. Every person wants to look beautiful and use of cosmeceuticals is the current trend to beautify your outer look. Now cosmeceuticals is considered as one of the fastest growing segment of the natural personal care industry. The use of cosmeceuticals has radically scaled in last decades. Some new advancement and technologies are entering in this cosmetic industries i.e. nanotechnology. Since last few decades, the nanotechnology has been acquired importance in numerous areas of science. Nano science has grown greatly, reason behind that is nanomaterials have extensive applications in material science, engineering, and medicine. Nanocosmetics are over taking the new cosmeceutical market. Nanocarriers are used to deliver cosmecutical ingredients topically. Hence this review tries to understand the basic information of cosmeceuticals, nanocosmeticsand some other related advancement in cosmetic industry. The difference between drug, cosmetics, cosmeceuticals, nanocosmetics, is also considered in this article. This paper also aims to highlight the beauty care industry and tries to comprehensive information of cosmeceuticals and nanotechnology used in cosmetic industry.

Does Exposure to High Job Demands, Low Decision Authority, or Workplace Violence Mediate the Association between Employment in the Health and Social Care Industry and Register-Based Sickness Absence? A Longitudinal Study of a Swedish Cohort

Background: The aim of this paper was to investigate if job demands, decision authority, and workplace violence mediate the association between employment in the health and social care industry and register-based sickness absence. Methods: Participants from the Swedish Longitudinal Occupational Survey of Health who responded to questionnaires in 2006–2016 (n = 3951) were included. Multilevel autoregressive cross-lagged mediation models were fitted to the data. Employment in the health and social care industry at one time point was used as the predictor variable and register-based sickness absence >14 days as the outcome variable. Self-reported levels of job demands, decision authority, and exposure to workplace violence from the first time point were used as mediating variables. Results: The direct path between employment in the health and social care industry and sickness absence >14 days was, while adjusting for the reverse path, 0.032, p = 0.002. The indirect effect mediated by low decision authority was 0.002, p = 0.006 and the one mediated by exposure to workplace violence was 0.008, p = 0.002. High job demands were not found to mediate the association. Conclusion: Workplace violence and low decision authority may, to a small extent, mediate the association between employment in the health and social care industry and sickness absence.

Stem Cell Management is a Novel Innovation in the Health Care Sector. The Study Based on Research Conducted by Professionals in the Field

Background: A physician offers treatments to prevent, treat, and manage sickness and to maintain mental and physical well-being. According to the World Health Organization, health care includes all raw materials and services aimed to enhance health, including "preventative health, therapeutic, and supportive interventions, either aimed to people either to nations." Stem cell is one of the innovations of health care industry. Stem cells are used to treat over 130 diseases throughout the world, and more than 500 clinical trials are ongoing to develop stem cell treatments. Henceforth, this paper aim is to enhance the stem cell role in health care industry and to find the health professional attitude towards stem cell management. Methods: For the study purpose both primary and secondary data are used. The cross sectional study conducted among 140 doctors of the Delhi-NCR for the primary data. The secondary data collected from records of the WHO, various journals, scientific study and clinical trials. The data were analysis by the using the correlation and t-test by SPSS 21 software to find the attitude of doctors towards stem cell management. Results: The study found that 97% of doctors are aware about the stem cell and 86% doctors have knowledge about the sources of stem cell and only 25% doctors collect the stem cell from umbilical cord. The study determine that the attitude of the health professional are positive towards stem cell management in India and they need government takes necessary action to developed the stem cell management for better health sector in India. Conclusions: Thus it can be concluded that with the increases of the cases the scientists try to find the use of stem cell in the treatment of various diseases. It does clearly indicate that stem cell boost the immune system. The data analysis of the study confirms that doctors in India have a positive view toward stem cell management. As a result, if sufficient initiative is made by healthcare professionals and the government, stem cell management has a wide range of adoption and acceptance opportunities.

Sustainable waste management in the Indonesian medical and health-care industry: technological performance on environmental impacts and occupational safety

PurposeSustainable waste management (SWM) leads to human safety by eliminating dangerous substances, increasing cost efficiency and reducing environmental impacts. Integrating social, economic and environmental factors is the standard for successfully implementing SWM. However, prior studies have not incorporated the triple bottom line with technological performance and occupational safety in establishing SWM. To drive sustainability in waste management, this study aims to provide a set of SWM attributes and identify a causality model based on the interrelationships among the attributes.Design/methodology/approachThis study used the Delphi method to list the relevant attributes and the decision-making trial and evaluation laboratory (DEMATEL) involving 18 experts from the medical and health-care industry to present the interrelationships indicating the group of cause–effect attributes of SWM.FindingsThe study selected 5 aspects and 20 criteria as the relevant attributes of SWM. The cause group consists of environmental impacts and occupational safety, with positive values of 27.031 and 24.499, respectively. The effect group includes technological performance, economic performance and social performance. In particular, the challenges and practices of technological performance are linked to environmental impacts and occupational safety.Practical implicationsThe top four criteria for industrial improvement are green practices, government policy and rules, the awareness of workers and waste separation and collection. These results present deeper insights into theoretical and managerial implications.Originality/valueThis study contributes to addressing the challenges and practices of SWM in technological performance leading to environmental impacts and occupational safety. Studies on the technological performance aspect in the causality relationships between environmental impacts and occupational safety are lacking. This study describes SWM using qualitative information and quantitative data.

Research on Optimization Path of Intelligent Pension Industry Based on Intelligent Fusion Algorithm of Multisource Information

Accurate quantitative evaluation of the supervision effect of the smart pension industry can reduce the cost of social pension. The traditional methods cannot effectively classify the regulatory risk levels of the smart pension industry. Therefore, this paper proposes a multisource information intelligent fusion algorithm based on the intelligent pension industry optimization path research. Firstly, we establish the principal model of the supervision effect system of the intelligent elderly care industry optimization path and describe the risk level of the supervision effect from different levels. We build the intelligent service platform of the intelligent elderly care training, calculate the weight vector of the supervision risk of the optimization path at all levels, and determine the attribute type of the supervision effect at all levels. Finally, we calculate the maximum influence value of the supervision effect of the intelligent elderly care industry optimization path and use this value to complete the quantitative evaluation of its supervision effect. Simulation results show that the proposed method can evaluate the regulatory effect of smart pension industry and improve the precision of the regulatory effect of smart pension industry effectively.