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This purpose of this study is to investigate the structural and morphology of hybrid silver-crosslinked chitosan thin films potentially for surface plasmon resonance (SPR) sensor application. Silver, silver-chitosan and silver-crosslinked chitosan (annealed) thin films also were prepared as controls for this study.

Silver was firstly coated on top of the glass substrate by magnetron sputtering method. Different chitosan solutions (with and without glutaraldehyde) were coated on top of the substrate by spin coating method. Annealing treatment was carried out for one of silver-crosslink chitosan sample. The structural and morphology of all the thin films were studied by X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM) and atomic force microscopy (AFM). The SPR curves also were measured by the SPR sensor with air and deionised (DI) water as analytes.

The structure of silver-crosslinked chitosan thin film presented a monoclinic structure with high crystallinity of 131.71 nm at the prominent peak by XRD analysis. The FESEM and AFM analyses revealed the morphology to be rough in surface attributed to enhanced contact with analytes in SPR measurement compared to other thin films.

In the present study, the glutaraldehyde used to crosslink the thin film increased hydrophobicity and allows for more binding capacity.

The proposed silver-crosslinked chitosan thin film may prove beneficial for biosensing such as in environmental applications by SPR sensor.

This paper aims to study the working principle of the capacitive pressure sensor and explore the distribution of pressure acting on the surface of the capacitor. Herein, a kind of high sensitivity capacitive pressure sensor was prepared by overlaying carbon fibers (CFs) on the surfaces of the thermoplastic elastomer (TPE), the TPE with high elasticity is a dielectric elastomer for the sensor and the CFs with excellent electrical conductivity were designed as the conductor.

Due to the excellent mechanical properties and electrical conductivity of CFs, it was designed as the conductor layer for the TPE/CFs capacitive pressure sensor via laminating CFs on the surfaces of the columnar TPE. Then, a ‘#' type structure of the capacitive pressure sensor was designed and fabricated.

The ‘#' type of capacitive pressure sensor of TPE/CFs composite was obtained in high sensitivity with a gauge factor of 2.77. Furthermore, the change of gauge factor values of the sensor under 10 per cent of applied strains was repeated for 1,000 cycles, indicating its outstanding sensing stability. Moreover, the ‘#' type capacitive pressure sensor of TPE/CFs was consisted of several capacitor arrays via laminating CFs, which could detect the distribution of pressure.

The TPE/CFs capacitive pressure sensor was easily fabricated with high sensitivity and quick responsiveness, which is desirably applied in wearable electronics, robots, medical devices, etc.

The outcome of this study will help to fabricate capacitive pressure sensors with high sensitivity and outstanding sensing stability.

The explosion of social media use such as Facebook among higher education students is deemed to have great potential in widely disseminating environmental sustainability awareness. The paper aims to capture, summarise, synthesise and comment on the role of social media to garner interest of students and staff on environmental sustainability issues.

Systematic literature review technique is adopted, and three selected online databases were searched for relevant papers for review. Specific data were extracted from each paper, and the discussion section was based on the developed research questions.

Higher education needs to fully leverage the ubiquity of social media to extend how environmental sustainability is viewed by the students and staff. Sustainability practices conducted at the university level such as recycling, reduction of electricity and water consumptions and paper reduction in classroom and used to engage students on environmental matters. For staff, social media can be leveraged as to convey the university policy and assist in their quest to become full-fledged green universities.

Some of the limitations of this research include the lack of keyword search using synonyms or related terms equivalent to the term “awareness”, lack of forward and backward searches, and the papers were searched until end of 2013 only. Future research needs to take advantage of the current limitations to investigate this topic and be empirically supported by theories using quantitative, qualitative or mixed-method-based research. Future studies could also develop relevant frameworks to propose an effective use of social media for creating environmental sustainability awareness in higher education.

Propagations of environmental sustainability awareness in higher education would be more effective with the use of social media.

In principle, the increase of environmental awareness level would increase the students’ good behavioural conduct on environmental sustainability.

While the broad topic of environmental sustainability in higher education is widely discussed, the role of social media in shaping environmental sustainability awareness is still under researched. This situation provides a significant potential for exploration by sustainability researchers to craft their investigation on the effective role of social media in creating environmental awareness in higher education.

This paper aims to study the application of high-tolerance and flexible indigenous bacteria and fungi, along with the co-metabolism in recycled paper and cardboard mill (RPCM) wastewater treatment (WWT).

The molecular characterization of isolated indigenous bacteria and fungi was performed by 16S rRNA and 18S rRNA gene sequencing, respectively. Glucose was used as a cometabolic substrate to enhance the bioremediation process.

The highest removal efficiency was achieved for both chemical oxygen demand (COD) and color [78% COD and 45% color removal by Pseudomonas aeruginosa RW-2 (MZ603673), as well as approximately 70% COD and 48% color removal by Geotrichum candidum RW-4 (ON024394)]. The corresponding percentages were higher in comparison with the efficiency obtained from the oxidation ditch unit in the full-scale RPCM WWT plant.

Indigenous P. aeruginosa RW-2 and G. candidum RW-4 demonstrated effective capability in RPCM WWT despite the highly toxic and low biodegradable nature, especially with the assistance of glucose.

The purpose of this paper is to apply reverse osmosis (RO) to the treatment of industrial wastewater from a large petrochemical complex in Southern Brazil, in order to verify the conditions of liquid effluent reuse and improve them, especially to reduce the consumption of natural water by some production structures such as boilers and cooling towers.

The petrochemical wastewater was submitted to pretreatment using a sand filter and activated carbon filters. Tests were conducted using RO equipment with a production capacity of 0.25 m³h⁻¹ composed of a spiral membrane module with a membrane area of 7.2 m². Pressures of 8, 12 and 15 bar were applied with reject flow maintained constant at 10 Lm⁻¹.

The experiment results indicated optimum RO performance since more than 90 percent extraction was obtained for most of the compounds present in the petrochemical wastewater.

By checking the aspects involved, as well as providing some relevant considerations about, this study promotes the application of RO to get a satisfactory water reuse in similar industries, thereby decreasing both the volume of water extracted from wellsprings and the amount of wastewater released into water bodies.

Membrane biological reactor (MBR) is recognized as an efficient and steady wastewater treatment process. The purpose of this study is to reveal the research trends of scientific outputs on MBR for the past 32 years.

A method of bibliometric analysis was performed, based on the online version of the Science Citation Index Expanded, Web of Science, from 1982 to 2013. In total, 5,305 articles related to MBR were evaluated. A new method named “word cluster analysis” was also used for further analysis.

Results showed a rising trend of publications in this research field. English was the main language used in these articles. Journal of membrane science published the most articles, proving to be one of the most authoritative journals. China and Dalian University of Technology were the most productive country and institute, respectively. Except for “membrane bioreactor” and “MBR”, “membrane fouling” was the most cited keyword, indicating the research hotspot nowadays and future.

This study serves as an alternative and innovative way of revealing the research trends in MBR research.

There is tremendous growth potential for food and grocery (F&G) retail in an emerging market like India. Bengaluru is the third most populous city of India. With a total consumption expenditure of Rs 2,020 billion and per capita retail expenditure of Rs 67,289 (in 2015), Bengaluru has emerged as a sought-after retail market with many foreign and national brands opening stores here. The purpose of this paper is to use the sign of causality to determine the relationships between store attributes, satisfaction, patronage intention and lifestyles in F&G retailing in Bengaluru.

An experimentation framework using causal design was developed to establish relationships between variables: store attributes, satisfaction, patronage intention and lifestyle. A primary survey was conducted using a structured non-disguised questionnaire involving 346 F&G shoppers from Bengaluru. Hayes regression models were adapted and hypothesized relationships between the variables tested using correlation, multiple regression and Hayes regression/path analysis.

Satisfaction acts as a mediator in the relationship between store attributes and patronage intention. Lifestyle does not act as the moderator in the relationships between store attributes and patronage- intention; and, satisfaction and patronage intention.

In experiments that test for causality a big limitation is lower internal validity in the absence of control mechanisms, unlike laboratory studies. Another limitation is that this study is limited to urban Bengaluru F&G shoppers, variations could occur if the study is extended to include rural shoppers.

With 100 percent foreign direct investment permitted in the F&G category in India, the research outcomes will be useful to all food retailers (prospective and current) interested in this retail market. Moreover, in the existing competitive scenario, understanding of associative influences between store attributes, satisfaction, patronage intention and lifestyle will enable retailers comprehend F&G shoppers retailing behavior. This information can be used for targeted marketing and operational strategies, which will deliver more success in marketing relationship management, building competitive advantage and enhancing marketing efforts profitably.

This paper is a new and original contribution to the existing literature on causal relationships among variables in retail marketing research. It is different from prior studies that analyzed shoppers F&G behavior, in that it extends the understanding of the role of “satisfaction” as a mediator and “lifestyle” not a moderator, when testing the causality of store attributes on patronage intention.

In recent years, while the food and grocery retail in developed markets like Western Europe seem to be slowly facing saturation, it has been steadily growing in the Asia–Pacific region markets like India. This is mainly due to the emergence of modern retail and the changing consumer dynamics. This study purposes to assesses whether food and grocery (F&G) shoppers in India are strongly influenced by store-attributes.

Descriptive research design, a cross-sectional survey involving 346 respondents (households) from metropolitan Bengaluru, participated in the study. Data is analyzed with SPSS 21, involving descriptive analysis, 1-way Anova, and confirmatory factor analysis (CFA), which appears useful to confirm the theoretical structure used for the study.

Store-attributes – atmosphere, promotion, convenience, facilities, merchandise, store personnel interaction and services affect F&G store choice decisions. Additionally, significant difference is found in the way respondents perceive the sub-constructs of store-attributes, based on age.

The study contributes to the theoretical knowledge on store-attributes and dynamic socio-demographic influences on store choices. It has managerial implications to encourage global retailers use knowledge on store-attributes influences to initiate effective communication and promotion strategies and work at customer relationship management (CRM) that earn profitably in the long run.

Today, connected consumers seek shopping experiences that blend physical stores-attributes with other retail formats offerings. This research paper provides insights on shopper expectations of store-attributes, which could be used by global retailers to create delightful shopping experiences and to build CRM, especially when “experience per square foot” is used to measure the retailer's performance.

As the United States is making a significant move toward rejoining the Paris Agreement on climate change, there is a high demand for sustainable solutions across various industries, including construction and hospitality sectors. The aim of this project was to design and model an on-site greywater treatment system for a hotel building for the effective reuse of sewage water. The study considered Los Angeles, California, as a case study location and referred to respective climate conditions and construction standards.

This study considered various options of greywater treatment plants such as membrane bioreactor (MBR), sequencing batch reactor and reverse osmosis with upflow anaerobic sludge blanket which were carefully reviewed and modeled using the GPS-X software. The design and modeling results were verified by hand calculations and were followed by the estimation of capital and operational expenses required for the implementation of the plants.

Having relatively low capital and operational expenditure requirements as well as superior technical performance, the MBR plant proved to be the most effective solution for the considered location and standards and was recommended for use in hotel buildings.

Designing and modeling several greywater treatment plants allowed selecting the most optimal option which in the long run will help to preserve the eco-system, stay compliant with the government laws and regulations and be financially sustainable.

The outcomes of the present study provide a detailed procedure for designing and modeling a greywater treatment plant for a hotel building that can be used for the localities with a similar climate. The most effective option selected as a result of cost-benefit analysis provides an efficient and viable solution for the relevant industry and the type of buildings.

The aim of this study is to investigate subject independent emotion recognition capabilities of EEG and peripheral physiological signals namely: electroocoulogram (EOG), electromyography (EMG), electrodermal activity (EDA), temperature, plethysmograph and respiration. The experiments are conducted on both modalities independently and in combination. This study arranges the physiological signals in order based on the prediction accuracy obtained on test data using time and frequency domain features.

DEAP dataset is used in this experiment. Time and frequency domain features of EEG and physiological signals are extracted, followed by correlation-based feature selection. Classifiers namely – Naïve Bayes, logistic regression, linear discriminant analysis, quadratic discriminant analysis, logit boost and stacking are trained on the selected features. Based on the performance of the classifiers on the test set, the best modality for each dimension of emotion is identified.

 The experimental results with EEG as one modality and all physiological signals as another modality indicate that EEG signals are better at arousal prediction compared to physiological signals by 7.18%, while physiological signals are better at valence prediction compared to EEG signals by 3.51%. The valence prediction accuracy of EOG is superior to zygomaticus electromyography (zEMG) and EDA by 1.75% at the cost of higher number of electrodes. This paper concludes that valence can be measured from the eyes (EOG) while arousal can be measured from the changes in blood volume (plethysmograph). The sorted order of physiological signals based on arousal prediction accuracy is plethysmograph, EOG (hEOG + vEOG), vEOG, hEOG, zEMG, tEMG, temperature, EMG (tEMG + zEMG), respiration, EDA, while based on valence prediction accuracy the sorted order is EOG (hEOG + vEOG), EDA, zEMG, hEOG, respiration, tEMG, vEOG, EMG (tEMG + zEMG), temperature and plethysmograph.

Many of the emotion recognition studies in literature are subject dependent and the limited subject independent emotion recognition studies in the literature report an average of leave one subject out (LOSO) validation result as accuracy. The work reported in this paper sets the baseline for subject independent emotion recognition using DEAP dataset by clearly specifying the subjects used in training and test set. In addition, this work specifies the cut-off score used to classify the scale as low or high in arousal and valence dimensions. Generally, statistical features are used for emotion recognition using physiological signals as a modality, whereas in this work, time and frequency domain features of physiological signals and EEG are used. This paper concludes that valence can be identified from EOG while arousal can be predicted from plethysmograph.