ALBERT

Description: This paper reports the synthesis and fabrication of aligned electrospun nanofibers derived out of multiwalled carbon nanotubes (MWCNTs) embedded SU-8 photoresist, which are targeted towards ultrasensitive biosensor applications. The ultrasensitivity (detection in the range of fg/mL) and the specificity of these biosensors were achieved by complementing the inherent advantages of MWCNTs such as high surface to volume ratio and excellent electrical and transduction properties with the ease of surface functionalization of SU-8. The electrospinning process was optimized to precisely align nanofibers in between two electrodes of a copper microelectrode array. MWCNTs not only enhance the conductivity of SU-8 nanofibers but also act as transduction elements. In this paper, MWCNTs were embedded way beyond the percolation threshold and the optimum percentage loading of MWCNTs for maximizing the conductivity of nanofibers was figured out experimentally. As a proof of concept, the detection of myoglobin, an important biomarker for on-set of Acute Myocardial Infection (AMI) has been demonstrated by functionalizing the nanofibers with anti-myoglobin antibodies and carrying out detection using a chemiresistive method. This simple and robust device yielded a detection limit of 6 fg/mL.

Description: Waterpipe tobacco smoking (WTS) is an emerging tobacco product globally, especially among adolescents and young adults who may perceive WTS as a safe alternative to smoking cigarettes. Monitoring the use of WTS in Turkey in relation to the tobacco control policy context is important to ensure that WTS does not become a major public health issue in Turkey. The Global Adult Tobacco Survey (GATS) was conducted in Turkey in 2008 and was repeated in 2012. GATS provided prevalence estimates on current WTS and change over time. Other indicators of WTS were also obtained, such as age of initiation and location of use. Among persons aged 15 and older in Turkey, the current prevalence of WTS decreased from 2.3% in 2008 to 0.8% in 2012, representing a 65% relative decline. Among males, WTS decreased from 4.0% to 1.1% (72% relative decline). While the overall smoking prevalence decreased among females, there was no change in the rate of WTS (0.7% in 2008 vs. 0.5% in 2012), though the WTS prevalence rate was already low in 2008. Comprehensive tobacco control efforts have been successful in reducing the overall smoking prevalence in Turkey, which includes the reduction of cigarette smoking and WTS. However, it is important to continue monitoring the use of waterpipes in Turkey and targeting tobacco control efforts to certain groups that may be vulnerable to future WTS marketing (e.g., youth, women).

Description: Awareness of the health risks of smoking is an important factor in predicting smoking-related behaviour; however, little is known about the knowledge of health risks in low-income countries such as India. The present study examined beliefs about the harms of smoking and the impact of health knowledge on intentions to quit among a sample of 249 current smokers in both urban and rural areas in two states (Maharashtra and Bihar) from the 2006 TCP India Pilot Survey, conducted by the ITC Project. The overall awareness among smokers in India of the specific health risks of smoking was very low compared to other ITC countries, and only 10% of respondents reported that they had plans to quit in the next six months. In addition, smokers with higher knowledge were significantly more likely to have plans to quit smoking. For example, 26.2% of respondents who believed that smoking cause CHD and only 5.5% who did not believe that smoking causes CHD had intentions to quit (χ2 = 16.348, p 〈 0.001). Important differences were also found according to socioeconomic factors and state: higher levels of knowledge were found in Maharashtra than in Bihar, in urban compared to rural areas, among males, and among smokers with higher education. These findings highlight the need to increase awareness about the health risks of smoking in India, particularly in rural areas, where levels of education and health knowledge are lower.

Description: Droplet microfluidics (DMF) is a fluidic handling technology that enables precision control over dispensing and subsequent manipulation of droplets in the volume range of microliters to picoliters, on a micro-fabricated device. There are several different droplet actuation methods, all of which can generate external stimuli, to either actively or passively control the shape and positioning of fluidic droplets over patterned substrates. In this review article, we focus on the operation and utility of electro-actuation-based DMF devices, which utilize one or more micro-/nano-patterned substrates to facilitate electric field-based handling of chemical and/or biological samples. The underlying theory of DMF actuations, device fabrication methods and integration of optical and opto-electronic detectors is discussed in this review. Example applications of such electro-actuation-based DMF devices have also been included, illustrating the various actuation methods and their utility in conducting chip-based laboratory and clinical diagnostic assays.

Description: Chemiresistors (conductometric sensor) were fabricated on the basis of novel nanomaterials—silica nanosprings ALD coated with ZnO. The effects of high temperature and UV illumination on the electronic and gas sensing properties of chemiresistors are reported. For the thermally activated chemiresistors, a discrimination mechanism was developed and an integrated sensor-array for simultaneous real-time resistance scans was built. The integrated sensor response was tested using linear discriminant analysis (LDA). The distinguished electronic signatures of various chemical vapors were obtained at ppm level. It was found that the recovery rate at high temperature drastically increases upon UV illumination. The feasibility study of the activation method by UV illumination at room temperature was conducted.

Description: Awareness of the health risks of smoking is an important factor in predicting smoking-related behaviour; however, little is known about the knowledge of health risks in low-income countries such as India. The present study examined beliefs about the harms of smoking and the impact of health knowledge on intentions to quit among a sample of 249 current smokers in both urban and rural areas in two states (Maharashtra and Bihar) from the 2006 TCP India Pilot Survey, conducted by the ITC Project. The overall awareness among smokers in India of the specific health risks of smoking was very low compared to other ITC countries, and only 10% of respondents reported that they had plans to quit in the next six months. In addition, smokers with higher knowledge were significantly more likely to have plans to quit smoking. For example, 26.2% of respondents who believed that smoking cause CHD and only 5.5% who did not believe that smoking causes CHD had intentions to quit (χ2 = 16.348, p 〈 0.001). Important differences were also found according to socioeconomic factors and state: higher levels of knowledge were found in Maharashtra than in Bihar, in urban compared to rural areas, among males, and among smokers with higher education. These findings highlight the need to increase awareness about the health risks of smoking in India, particularly in rural areas, where levels of education and health knowledge are lower.

Description: Sustainability, Vol. 9, Pages 1532: Impact of Corporate Social Responsibility Dimensions on Firm Value: Some Evidence from Hong Kong and China Sustainability doi: 10.3390/su9091532 Authors: Prakash Singh Kannan Sethuraman Jocelin Lam There has been significant interest and debate on the impact that a firm’s investments in corporate social responsibility (CSR) practices and initiatives have on its market value. In this paper, we target an area that is relatively under-researched: the relevance of CSR practices and initiatives for firms in the emerging economic region of mainland China and Hong Kong, where market development and the institutional environment lag that of developed economies. Using independent CSR assessment data on a sample of large mainland Chinese and Hong Kong firms listed on the Hong Kong Stock Exchange, we evaluate the impact of six CSR dimensions on the firms’ adjusted stock market value over a three-year period. We found support for the influence of only two of the six dimensions considered, namely, the CSR practices and initiatives focused on community investment through philanthropy and, to a lesser extent, the CSR practices and initiatives focused on enhancing workplace quality, to be significant predictors of firm value. This suggests that social and people-centric dimensions of CSR are more relevant than technical and process-centric dimensions of CSR for mainland Chinese and Hong Kong firms. Furthermore, we found support for the hypothesis that the impact of CSR practices and initiatives on firm value follows an inverted U-shaped relationship over time, suggesting that the effect of these initiatives on firm value steadily increases during the initial years after their adoption to reach a maximum and then gradually fades away in subsequent years. To this end, this study advances our knowledge of the specific CSR dimensions that contribute to firm value and their relevance for Chinese and Hong Kong firms.

Description: IJERPH, Vol. 14, Pages 868: Influence of Health Warnings on Beliefs about the Health Effects of Cigarette Smoking, in the Context of an Experimental Study in Four Asian Countries International Journal of Environmental Research and Public Health doi: 10.3390/ijerph14080868 Authors: Jessica Reid Seema Mutti-Packer Prakash Gupta Qiang Li Jiang Yuan Nigar Nargis A. Hussain David Hammond Cigarette package health warnings can be an important and low-cost means of communicating the health risks of smoking. We examined whether viewing health warnings in an experimental study influenced beliefs about the health effects of smoking, by conducting surveys with ~500 adult male smokers and ~500 male and female youth (age 16–18) in Beijing, China (n = 1070), Mumbai area, India (n = 1012), Dhaka, Bangladesh (n = 1018), and Republic of Korea (n = 1362). Each respondent was randomly assigned to view and rate pictorial health warnings for 2 of 15 different health effects, after which they reported beliefs about whether smoking caused 12 health effects. Respondents who viewed relevant health warnings (vs. other warnings) were significantly more likely to believe that smoking caused that particular health effect, for several health effects in each sample. Approximately three-quarters of respondents in China (Beijing), Bangladesh (Dhaka), and Korea (which had general, text-only warnings) thought that cigarette packages should display more health information, compared to approximately half of respondents in the Mumbai area, India (which had detailed pictorial warnings). Pictorial health warnings that convey the risk of specific health effects from smoking can increase beliefs and knowledge about the health consequences of smoking, particularly for health effects that are lesser-known.

Description: Energies, Vol. 11, Pages 862: Robust Building Energy Load Forecasting Using Physically-Based Kernel Models Energies doi: 10.3390/en11040862 Authors: Anand Prakash Susu Xu Ram Rajagopal Hae Noh Robust and accurate building energy load forecasting is important for helping building managers and utilities to plan, budget, and strategize energy resources in advance. With recent prevalent adoption of smart-meters in buildings, a significant amount of building energy consumption data became available. Many studies have developed physics-based white box models and data-driven black box models to predict building energy consumption; however, they require extensive prior knowledge about building system, need a large set of training data, or lack robustness to different forecasting scenarios. In this paper, we introduce a new building energy forecasting method based on Gaussian Process Regression (GPR) that incorporates physical insights about load data characteristics to improve accuracy while reducing training requirements. The GPR is a non-parametric regression method that models the data as a joint Gaussian distribution with mean and covariance functions and forecast using the Bayesian updating. We model the covariance function of the GPR to reflect the data patterns in different forecasting horizon scenarios, as prior knowledge. Our method takes advantage of the modeling flexibility and computational efficiency of the GPR while benefiting from the physical insights to further improve the training efficiency and accuracy. We evaluate our method with three field datasets from two university campuses (Carnegie Mellon University and Stanford University) for both short- and long-term load forecasting. The results show that our method performs more accurately, especially when the training dataset is small, compared to other state-of-the-art forecasting models (up to 2.95 times smaller prediction error).

Description: IJERPH, Vol. 15, Pages 1585: Household Food Insecurity and Mental Health Among Teenage Girls Living in Urban Slums in Varanasi, India: A Cross-Sectional Study International Journal of Environmental Research and Public Health doi: 10.3390/ijerph15081585 Authors: Divya Rani Jitendra Kumar Singh Dilaram Acharya Rajan Paudel Kwan Lee Shri Prakash Singh This study was undertaken to investigate the relation between household food insecurity and mental health problems in teenage girls living in urban slums. This community-based cross-sectional study was conducted in 5 urban slums in Varanasi, India, between September 2016 and July 2017. A probability proportion to size (PPS) method was employed to select 5 of 210 urban slums at a first stage, and in the second stage, 418 teenage girls were chosen randomly from selected households. The Household Food Insecurity Access Scale (HFIAS) and mental health inventory tools were employed to assess food insecurity and mental health status. Multivariable logistic regression analysis with at a 95% confidence interval (CI) was used to assess the association between household food insecurity and mental health status. Of 418 respondents, 47.6% were food insecure; 64.1%, 57.7%, and 58.4% had high levels of anxiety, depression, or psychological distress, respectively; and 57.2% exhibited a medium level of loss of behavioral control. Furthermore, teenage girls from food insecure households were more likely to have high levels of anxiety, depression, loss of behavioral control and psychological distress than those living in food secure households. This study shows food insecurity is independently associated with mental health problems among teenage girls. Food insecurity in Indian slums should be addressed by specific public health intervention programs that provide access to sufficient safe, nutritious food.