PHYSICO-CHEMICAL, RHEOLOGICAL AND BAKING PROPERTIES OF PROSO MILLET

Due to climate change, water scarcity, increasing population and rising food prices, agriculture and food security has been affected worldwide. Cereal grains being a major part of world food supply also act as important energy source in human diet. In order to counter food insecurity, alternative grains are being explored, and millet being drought-resistant has the potential to serve as an alternative grain due to its comparable nutritional composition with other major cereals and its gluten free proteins. The evidence that gluten sensitivity is one of the increasing food intolerances is driving an increasing demand for gluten-free foods. However, gluten is a structure building protein essential for optimum dough development. Therefore, obtaining high-quality gluten-free bread (GFB) is a technological challenge. Due to lack of research about proso millet, this study investigates the physical properties of nine different cultivars to help in equipment design and significant difference was observed in dimensions, sphericity, volume, surface area, bulk density, porosity and angle of repose. This study also focused on characterization of proso millet starch and effect of acid and hydrothermal modification on native starch was observed. We were also interested in determining the rheological properties of millet based gluten free formulation with different hydrocolloids, and the quality attributes of bread made from them. Dough undergoes deformation during preparatory processes which was evaluated with the application of rheology. And the final baking parameters such as bread volume, texture, color allowed correlation between rheological and baking performance. This study has helped us to better understand millet potential in different industries including starch and bakery and in designing equipment and storage structures

Simulation of Wheelchair Control by Integration of Computers and Electronics Platform in BCI Controlled Systems

Device control using brain signals is a technique which could dramatically change the life of disabled individuals. An attempt has been made to control such devices using brain signals. This work shows the hardware implementation of controlling a wheelchair using brain signals which is developed using electronics open source platforms to simulate real wheelchair control. This system uses Arduino UNO microcontroller board, L293D driver circuit, two DC motors, wheelchair hardware and wires for connections to produce simulation of wheelchair control

Analysis of Data Aggregation Techniques of IOT

The internet of things is the self configuring network in which sensor nodes can join or leave the network when they want. The security, data aggregation are the two major issues of IOT. In the previous years various techniques are designed to improve data aggregation rate of IOT. The clustering is the technique which can increase data aggregation rate and reduce lifetime of the network. In this paper, various techniques are reviewed to improve lifetime of the network and increase data aggregation rate

May-Thurner syndrome : an uncommon and incidental finding in a postpartum female

May-Thurner syndrome or Cockett syndrome is a pathological condition that arises due to extrinsic compression on iliocaval venous territory, leading to venous outflow obstruction. Here, author presents an incidental finding of left common iliac vein extrinsic compression by right common iliac artery with collateral vessels in the pelvis in a postpartum female

Posterior reversible encephalopathy syndrome in dengue: a rare manifestation

Dengue is an important arthropod born disease with its cases spiking every 2-3 years and spectrum of disease ranging from mild febrile illness to severe illness with multiple systemic complications including rare neurological manifestation. We hereby presented a case report of rare presentation of posterior reversible encephalopathy syndrome (PRES) in an eight year old child suffering from dengue

Expressivity of Spiking Neural Networks

This article studies the expressive power of spiking neural networks where information is encoded in the firing time of neurons. The implementation of spiking neural networks on neuromorphic hardware presents a promising choice for future energy-efficient AI applications. However, there exist very few results that compare the computational power of spiking neurons to arbitrary threshold circuits and sigmoidal neurons. Additionally, it has also been shown that a network of spiking neurons is capable of approximating any continuous function. By using the Spike Response Model as a mathematical model of a spiking neuron and assuming a linear response function, we prove that the mapping generated by a network of spiking neurons is continuous piecewise linear. We also show that a spiking neural network can emulate the output of any multi-layer (ReLU) neural network. Furthermore, we show that the maximum number of linear regions generated by a spiking neuron scales exponentially with respect to the input dimension, a characteristic that distinguishes it significantly from an artificial (ReLU) neuron. Our results further extend the understanding of the approximation properties of spiking neural networks and open up new avenues where spiking neural networks can be deployed instead of artificial neural networks without any performance loss

Physio-Chemical and Functional Properties of Nine Proso Millet Cultivars

Evaluation of the postharvest properties of nine proso millet cultivars was carried out to determine their physical and engineering properties, which are very useful for designing appropriate systems for process operations such as sorting, drying, heating, cooling, and milling. Nine cultivars of proso millet comprising waxy and non-waxy types, namely Cope, Earlybird, Huntsman, Minco, Plateau, Sunrise, Rise, Dawn, and Panhandle, were obtained from the Panhandle Research and Extension Center, University of Nebraska, Scottsbluff. Results showed significant (p \u3c 0.05) differences in their physical properties, such as sphericity, volume, bulk density, porosity, and angle of repose, which ranged from 0.86 to 0.91, from 3.94 to 5.14 mm3, from 765.49 to 809.67 kg m-3, from 42.49% to 44.20%, and from 22.98° to 25.74°, respectively. The cultivars were also evaluated for their pasting and gelatinization properties, and high correlation was found between amylose content and onset temperature (r = -0.94), peak gelatinization temperature (r = -0.92), peak viscosity (r = 0.84), final viscosity (r = 0.91), and setback viscosity (r = 0.90). The understanding of these basic physical and functional properties of proso millet cultivars will form the foundation for processing them into value-added products

Assessing the Impact of Quality Management Systems on Business Performance

In the past few decades, a number of organizations have implemented Quality Management Systems (QMS) to create a culture of continuous quality improvement and improve business performance. Various QMS implemented in organizations are ISO 9000 Standards, Total Quality Management, AS Aerospace Standards, and many more. These standards cover aspects such as management leadership, process management, teamwork, quality improvement, and supplier and customer relations. The implementation of QMS is ultimately expected to improve overall business performance. In this thesis, we study the overall impact of implementation of QMS on various business performance factors. These performance factors include information quality, operating performance, design performance, environmental performance, product and service quality, supplier and customer relationships and competitive priorities. To study the impact of implementation of QMS on these business performance factors, we proposed a hypothesis model linking these performance factors, showing how improvement in one factor brings improvement in other factor. In this regard, a questionnaire was prepared related to implementation of QMS on business performance factors, and a survey study was conducted with professionals involved in quality management and engineering to collect their iv views on implementation of QMS. The collected data was analyzed with the help of statistical techniques such as Factor analysis, Descriptive statistics and Regression analysis, to study the proposed hypothesized relationships in the model. The results of our study show that organizations often implement QMS as a catalyst for change and use them in daily practice. Most of the proposed hypotheses are found to have significant positive relationship, whereas not enough significance is found between information quality and environmental performance, between design performance and product quality, and between environmental performance and product quality. It is recommended as future work to collect more data to statistically validate the relationships between design performance and product quality and between environmental performance and product quality. Keywords: QMS, Information Quality, Product Quality, Service Quality, Business performance

Navigating family planning: unveiling rural-urban disparities among women in India: insights from Indian demographic health survey-5

Background: Over the past few years, there has been an increase in the usage of family planning methods. Female sterilization remains the most commonly used method of contraception. However, there are still disparities in the use of family planning methods between urban and rural areas in India, which can be attributed to differences in education levels, cultural factors, and socio-economic factors. The study aimed to evaluate contraceptive prevalence and urban-rural disparities among married women in India. Methods: The study was based on the data collected under the National family health survey 2019-21. The NFHS-5 covered 5,12,408 currently married women (women in the age group 15-49). Descriptive and analytical analyses were used. The chi-square test and Bivariate logistic regression model were used to find the association between background characteristics and contraception use. Results: The study showed that 65.7% of the participants were using contraception, with female contraception being the most common method of contraception. The use of contraception in urban and rural settings was 67.9% and 65% respectively. Conclusions: The use of contraception has increased, with woman’s age, religion, caste, educational level, wealth index, place of residence and other factors such as total children living, total children ever born, exposure to mass media, son preference and ideal number of children being significant determinants