Promoting Culinary Heritages as a Destination Attraction: A Case Study of Ancient Temple Food ‘Mahaaprasaada’

The growth of the food tourism segment in the last two decades has opened enormous scope for the marketing & promotion of ‘indigenous food products’ which otherwise remain limited to a particular region. These unique culinary products have created special segments like food & wine tourism, oleo tourism, whiskey tourism, beer tourism, and religious food tourism (like Halal & Kosher tourism). From this perspective ‘religious culinary heritage’ (practiced in ancient Hindu temples) shows a huge potential to be marketed as a tourism attraction, however, there are very few studies about this topic. Hence the present research identifies and analyses the unique heritage aspects (Eno-gastronomic elements) of an ancient Hindu temple food - ‘Mahaaprasaada’ (as practiced at Jagannath Temple Puri, India) and its potential as a destination attraction. Initially the Eno-gastronomic aspects of Mahaaprasaada were identified & interpreted through ‘Directed Qualitative Content Analysis.’ This required the review of temple literature, developing a questionnaire for personal in-depth interviews and focus group discussions (with temple officials, cooking staff & priests), field visits (to the temple premises & associated areas), observation (covert, overt & participatory) of the ongoing cooking and distribution mechanisms and recording data through event, time and instantaneous sampling methods. Post interpretation, the ethnicity and Eno-gastronomic nature of the culinary heritage (Mahaaprasaada) was analysed through Actor Network Theory. From the current research it can be generalised that religious gastronomic practices followed by the heritage temples of India, possess a huge number of ‘Eno-gastronomic elements’ that are highly influenced by the cultural traditions of the place. Moreover, the awareness level of tourists about these aspects varies with their demographic profile such as nationality, gender, education, state, age etc. Despite some limitations which are outlined in the paper, this research shows great potential and promising scope for religious food tourism

Metabolic profiling of Kaempferia galanga leaf and rhizome extract using GC-MS

Kaempferia galanga Linn. is an endangered rhizomatous medicinal plant belonging to the Zingiberaceae family. It has evolved as an emerging industrial crop and dominates pharma as well as aroma sector. Though the extracts of this species have been extensively used in herbal medicine across the globe for the treatment of numerous diseases, but still the composition of the extract is not characterized properly. Thus, methanol extracts of K. galanga leaves and rhizomes were subjected to phytochemical screening, total phenolic content (TPC), total flavonoid content (TFC), and Gas Chromatography-Mass Spectrometry (GC-MS) to analyze the phytoconstituents. Leaf extract contained more TPC and TFC values as compared to rhizome extract. A total of eight and ten compounds were identified in the leaf and rhizome extract accounting for 61.44% and 96.97% of the total peak area respectively. Ethyl p-methoxycinnamate was found as the main constituent in rhizome extract covering 80.39% of the total area. Other important compounds like ethyl cinnamate (9.61±0.45%), pentadecane (3.12±0.2%) were also found in the rhizome extract, whereas leaf extract contained 2-(3,4-dimethoxyphenyl)-7-hydroxy-3-methoxy-4H-chromen-4-one (18.26%), 2-(3-hydroxy-4- methoxyphenyl)-3,7-dimethoxy-4H-chromen-4-one (14.01%), octamethylcyclotetrasiloxane (11.79%). The study indicated that K. galanga is a good source of phytoconstituents which can be used at the industrial level to produce pharmaceuticals, perfumes and flavouring agents

Fuzzy Decision Aid for Technology Evaluation

Fuzzy set theory offers a possibility of handling the data and information involving thesubjective characteristics of human nature in decision-making process, which is mostly true inthe real-world. This paper presents a fuzzy decision theory method to evaluate the potential ofproject proposals submitted for final approval of corporate decision makers in any research anddevelopment organisation

In-silico structural modelling of cytochrome complex proteins of white turmeric (Curcuma zedoaria)

Curcuma zedoaria (Christm.) Roscoe (white turmeric) is a perennial herbaceous plant of family Zingiberaceae and mainly found in the wild areas of tropical and subtropical regions worldwide. The cytochrome proteins in plants play important roles in promoting their growth and development, as well as protecting them from stresses and diseases. Cytochrome proteins like psbF, psbE, petB, petD, petN, petG, and ccsA play important roles in degradation of mis-folded proteins, ATP formation, cyclic electron flow and biogenesis of c-type cytochrome of C. zedoaria. However, due to lack of structural availability of these C. zedoaria cytochrome proteins in structural databases, the physiochemical parameters of sequences were estimated using Expasy ProtParam web tool. Self-Optimized Prediction Method with Alignment (SOPMA) server and MODELLER version 9.23 were used for modelling along with Qualitative Model Energy Analysis (QMEAN) and Protein Structure Analysis (ProSA) servers were implemented for validating the secondary and tertiary structures of these proteins. The obtained QMEAN4 values of the modelled cytochrome proteins were -2.04, -1.20, -3.01, -1.57, -2.11, -1.74 and -12.87. The Z-scores obtained from ProSA server were 0.5, -0.83, -1.5, -0.58, -0.02, 0.14 and -3.73. All seven modelled structures have been submitted to protein model database (PMDB). The derived results will be helpful in further investigations towards determining the crystal structure of the hypothetical proteins, structural motifs, physiochemical properties, and also protein-protein interaction studies of various cytochrome proteins

DOES DEMOGRAPHIC FACTOR AFFECT TOURIST BEHAVIOUR? FINDINGS FROM THE RELIGIOUS SITE OF JAGANNATH DHAM, INDIA

According to a report by UNWTO 'Asia and the pacific region' is considered as the core of the world's religious tourism as half of the world's religious voyages take place in this region only. In this context the 'Great India temples' play a major role in attracting crores of pilgrims along with the tourists of varied interests. These tourists exhibit different types of behaviour during their travel. As the behaviour is largely dependent upon the tourists' nature (belief, trust, motivation), place of residence, state, age, education etc, hence analyzing the same will help the Destination Management Organisations (DMOs) for 'planning, development and marketing' of its products and services in a better way. The current research intends to find out the demographic profile of the tourists visiting Jagannath Dham, Puri (India) and analyse the 'socio-religious behaviour' of the tourists from their demographic characteristics to provide suggestive measures for the development of the destination. The responses from the tourists (404) were collected through a structured questionnaire via convenience sampling. Initially, the demographic profile was analysed through percentage analysis and later the behavioural analysis was carried out by testing the instrument's reliability through (α), and the sample's adequacy via KMO & Bartlett's test. Later the factors were reduced via PCA and analysed through Levene's test, ANOVA & Post-Hoc tests. From the analysis, it was observed that behavioural characteristics are significantly associated only with the 'state of the residence' and 'nature of residence' of the travelers. Whereas other demographic factors like age, education, gender, and marital status are not significantly affecting the tourist behaviour. The results revealed that people from 'all age groups' show a very little dependency on the temple staff but 'moderate to high interest' in local culture. While metropolitan tourists don't show much desire in partaking Mahaprashada (the religious food offering of the temple), the rural people are less 'adhering to rituals' in comparison to the metropolitan and semi-urban tourists. Apart from this, there were few other revelations based on which suggestions have been given which were if implemented will certainly result in attracting more number of tourist to the destination

Nephrotic syndrome in a case of Rubinstein Taybi syndrome: a rare case report

Rubinstein Taybi syndrome (RSTS) also known as Broad Thumb Hallux Syndrome characterized by distinct facial features with beaked or straight nose, short stature, moderate to severe intellectual disability, broad thumb and big toe. We report an interesting case of female child with history and examination suggestive of RSTS with Nephrotic syndrome. Investigation revealed presence of albumin in urine with hypercholesterolemia and hypoalbuminemia. Purpose of this case report is to highlight the distinctive presentation of this syndrome and to update the current state of knowledge

Double-blind randomized proof-of-concept trial of canakinumab in patients with COVID-19 associated cardiac injury and heightened inflammation

AIMS: In coronavirus disease 2019 (COVID-19), myocardial injury is associated with systemic inflammation and higher mortality. Our aim was to perform a proof of concept trial with canakinumab, a monoclonal antibody to interleukin-1β, in patients with COVID-19, myocardial injury, and heightened inflammation. METHODS AND RESULTS: This trial required hospitalization due to COVID-19, elevated troponin, and a C-reactive protein concentration more than 50 mg/L. The primary endpoint was time to clinical improvement at Day 14, defined as either an improvement of two points on a seven-category ordinal scale or discharge from the hospital. The secondary endpoint was mortality at Day 28. Forty-five patients were randomly assigned to canakinumab 600 mg ( CONCLUSION: There was no difference in time to clinical improvement at Day 14 in patients treated with canakinumab, and no safety concerns were identified. Future studies could focus on high dose canakinumab in the treatment arm and assess efficacy outcomes at Day 28

Critère de blessure cérébral basé sur le calcul de l’élongation axonale

Ce travail de thèse vise à mieux décrire les mécanismes de lésions de la tête humaine en situation de choc en optimisant le modèle par éléments finis de la tête humaine de Strasbourg (SUFEHM) en termes de modélisation mécanique du crâne et du cerveau grâce à de nouvelles données expérimentales et de techniques récentes d’imagerie médicales. Une première étape a consisté à améliorer la loi de comportement de la boîte crânienne, valider son comportement en regards d’éléments expérimentaux sur cadavres et proposer un MEF capable de reproduire fidèlement la fracture crânienne. La deuxième partie consiste en la prise en compte pour la première fois de l’anisotropie dans les simulations par EF d’accidents réels en utilisant l’Imagerie du Tenseur de Diffusion. Après implémentation, une phase de validation a été entreprise afin de démontrer l’apport de l’anisotropie de la matière cérébrale dans un MEF. Enfin 125 accidents réels ont été reproduits avec le SUFEHM ainsi amélioré. Une étude statistique sur les paramètres mécaniques calculés a permis de proposer des limites de tolérances en termes de fracture crânienne et de lésions neurologiques en s’intéressant tout particulièrement à l’élongation axonale maximale admissible, nouvelle métrique proposée.The principal objective of this study is to enhance the existing finite element head model. A composite material model for skull, taking into account damage is implemented in the Strasbourg University Finite Element Head Model in order to enhance the existing skull mechanical constitutive law. The skull behavior is validated in terms of fracture patterns and contact forces by reconstructing 15 experimental cases in collaboration with Medical College of Wisconsin. The new skull model is capable of reproducing skull fracture precisely. The composite skull model is validated not only for maximum forces, but also for lateral impact against actual force time curves from PMHS for the first time. This study also proposes the implementation of fractional anisotropy and axonal fiber orientation from Diffusion Tensor Imaging of 12 healthy patients into an existing human FE head model to develop a more realistic brain model with advanced constitutive laws. Further, the brain behavior was validated in terms of brain strain against experimental data. A reasonable agreement was observed between the simulation and experimental data. Results showed the feasibility of integrating axonal direction information into FE analysis and established the context of computation of axonal elongation in case of head trauma. A total 125 reconstructions were done by using the new advanced FEHM and the axonal strain was found to be the pertinent parameter to predict DAI