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In the field of human-computer interaction, deformable user interfaces are gaining more attention. Gestures performed by bending the deformable device are commonly investigated in the literature. These bend gestures' inherent tactile and kinaesthetic feedback and their association with spatial directions benefit both blind and low vision (BLV) and sighted users. Bend gestures are naturally associated with two descriptors of bend, which are location and direction. One potential opportunity to extend this gesture space is to investigate additional descriptors of bend gestures without introducing new locations. In this context, size and angle are the two common additional descriptors of bend gestures. In this work, we conducted two (preliminary and main) studies to investigate BLV and sighted users' performance and preference for multiple magnitude levels of size and angle of bend on a smartphone-sized deformable prototype. Finally, we discuss the results and propose user group-specific design recommendations. [ABSTRACT FROM AUTHOR]

IRNSS/NavIC is an independent navigation system developed by India. The dependence on external satellite-based navigation systems is gradually decreasing as a result of the deployment of our own navigation system, IRNSS/NavIC, which exhibits enhanced reliability. In this paper, a software-based IRNSS/NavIC receiver is developed using the standard Signal-In-Space Interface Control Document as a reference for signal structure, subframe patterns and parameter calculations. The IRNSS/NavIC receiver is validated with the I/Q data file as input which is generated by software based IRNSS/NavIC simulator. Analysis of the effect of a specific error on receiver output position necessitates repeated trials and modification, or in some cases, the development of new algorithms. The intermediate stage data can be viewed or stored as needed; a few examples are provided. In this paper Squared Correlators Code Discriminator (SCCD), a new multipath mitigation method has been designed and developed for IRNSS/NavIC receiver. The SCCD method is derived from Strobe Correlator (SC) and Combination of squared correlator method (CSC). The pseudorange bias is investigated and eliminated from the SCCD approach. The performance parameters of the IRNSS/NavIC receiver using each of the four approaches are compared, and the outcomes are discussed. [ABSTRACT FROM AUTHOR]

Background: Augmented reality can provide a 3D virtual experience, widely used in modern education. However, the impact of these applications on the underdeveloped tribal community has yet to be investigated. To our knowledge, no markerless augmented reality application has been developed especially for learning the language of the Bodo tribe. Therefore, we have developed a markerless augmented reality application—BodoRao to teach the alphabet and numerals of the Bodo tribal language. Objective: This study aims to assess the usability and efficacy of the BodoRao application. To investigate how augmented reality apps affect students' academic achievement in language acquisition. Also, assess the students' attitude towards using an augmented reality application. Method: A mixed‐method approach that combined quantitative and qualitative methods was used to gather the data. A total of 80 students drawn from two user groups: native speakers and non‐native speakers were evaluated, to determine if the BodoRao application can benefit a variety of speakers. Furthermore, from each of the user groups, experimental and control groups were formed. The experimental group used an augmented reality application to learn while the control group studied using a traditional textbook. Eight teachers were also interviewed to get their opinions on the BodoRao application. Results and Conclusion: The findings found a significant difference in the achievement test results between the experimental and control groups for both native and non‐native users. Students' positive attitudes toward the application were also observed, as represented by their high application satisfaction, low anxiety and readiness for use. Additionally, it was observed that there was a positive and significant correlation between the academic achievements and attitudes of native and non‐native students in the experimental group. Lay Description : What is already known about this topic: Augmented reality has been used for educational purposes, including language acquisition.Augmented reality applications increase learning interest, motivation and engagement among learners. What this paper adds: This study develops a markerless augmented reality application—'BodoRao' for teaching a vulnerable Bodo tribal language.This is a novel technology as it is the first augmented reality application developed for teaching the Bodo language.This application will teach the Bodo language to the tribe's younger generations, helping to preserve the language at the same time.This study has done usability testing on two user groups—native and non‐native—to ascertain whether the BodoRao application can benefit a variety of speakers. Implications for practice and/or policy: More augmented reality applications should be developed for endangered languages to safeguard and educate the next generation of speakers. [ABSTRACT FROM AUTHOR]

Accessible and affordable health services and products including medicines, vaccines, and public health are an important health agenda of all countries. It is well understood that without digital health technologies, countries will face difficulties in tackling the needs and demands of their population. Global agencies including the World Health Organization (WHO), United Nations (UN), International Telecommunication Union (ITU), etc. have been instrumental in providing various tools, and guidance through digital health strategies in improving health and digital health maturity of the countries. The Digital Health Platform Handbook (DHPH) is a toolkit published by WHO and ITU to help countries create and implement a digital health platform (DHP) to serve as the underlying infrastructure for an interoperable and integrated national digital health system. We apply the foundational principles of DHPH and provide a perspective of DHP components in a layered, enterprise architecture of a digital health infrastructure. India has rolled out the blueprint of its National Digital Health Mission (NDHM) to address the emerging needs for digitization of healthcare in the country. In this paper, we also illustrate the design and implementation of WHO-ITU DHP components at the national level by exploring India's digital health mission implementation utilizing various digital public goods to build a digital health ecosystem in the country. [ABSTRACT FROM AUTHOR]

BACKGROUND: Aphasia is an impaired ability to use language for communication after a brain damage. The primary means of intervention for aphasia – Speech-Language therapy (SLT) – usually involves didactic interaction between the Speech-Language therapist and the client, often without regard to the real-life environments in which the communication occurs. The provision of SLT in natural environments is beyond the scope of the conventional, clinic-based intervention setups. Using the technological advances, the Mixed Reality in Aphasia Rehabilitation (MiRAR) aims to make persons with aphasia (PwA) use their language in an ecologically valid and meaningful manner in natural communication contexts. AIM: This report aims to delineate the design and development of a Mixed Reality environment (MR: i.e., augmented + virtual realities (i.e., AR + VR)) to provide social communicative intervention for PwA. METHODS: We describe the concept and provide the details of the development and deployment of a communication-based mixed reality application for PwA in the Indian context. For this purpose, we generated 20 distinct communication scenarios and their scripts. These scenarios were implemented into the Mixed Reality environment with the help of a hired technical team. RESULTS: The 20 scenarios were successfully developed and deployed into the Mixed Reality environment for the purpose of communication intervention for PwA. The program consists of a web-based admin panel (for SLPs) and a Mixed Reality application (for the PwA). CONCLUSIONS: The MiRAR program is expected to foster the delivery of speech-language therapy in a meaningful, controlled and simulated environments by the SLPs, thus alleviating the practical restraints of conventional clinical setups. The clinical trial of this intervention program is planned in the next phase of this ongoing project. [ABSTRACT FROM AUTHOR]

Background: The geriatric population has been increasing in developing countries like India. There are fewer studies on multimorbidity in geriatric populations from low- and middle-income countries including India. Objectives: This study was conducted to assess the multimorbidity and pattern of diseases in patients attending a geriatric clinic. Materials and Methods: This cross-sectional study was conducted in a tertiary care hospital in western India among 300 geriatric patients (age =65 years) attending geriatric clinics in 2018. The presence of multimorbidity was defined as the coexistence of two or more chronic conditions. The 10-year survival was estimated using Charlson's Comorbidity Index. Data were entered in a Microsoft Excel worksheet and analyzed using EpiData Software version 2.8.3. Results: Out of the total 300 patients, 102 (34%) had single morbidity, whereas 198 (66%) suffered from multimorbidity. The most frequent chronic diseases in all patients were hypertension (63.33%), mental diseases (35.66%), diabetes mellitus (25.66%), chronic obstructive pulmonary disease (COPD) (18.66%), and coronary artery disease (CAD) (18.33%). The common prevalent chronic disease pairs were mental and neurological diseases in 107 (35.6%) patients, hypertension and diabetes mellitus in 57 (19%), hypertension and CAD in 38 (12.6%), and hypertension and COPD in 15 (5%) patients. Most of the patients had a Charlson's Comorbidity Index of 3 with a predicted 10-year survival rate of 77%. Conclusion: Sixty-six percent of our cohort was multimorbid. Hypertension was the most common chronic disease while CAD had the highest relative risk for multimorbidity. The most common comorbid pair was mental and neurological disorders. [ABSTRACT FROM AUTHOR]

To design and develop a mobile application for pre-school readiness of children with autism and also to identify their learning pattern. Based on strong foundation of functional academics, we have developed a mobile application for providing an early educational intervention program to the children with autism. Three successive software trials have been conducted among 31 children with autism of age group of three to 10 years. The mobile app has been provided to educators and parents and they have been allowed to supervise the children during their learning phase for eight to 10 weeks. The imprint of learning pattern is recorded and learning progress profile is generated for individual child. Data analysis of learning progress profile shows that 90% of the participants preferred drag and drop or simple touch approach over conventional methods practised during classroom teachings. More than 84% of the children are found to adapt pre-requisite skills for writing like scribbling, tracing, dots joining, copying, etc. after using the app on their tablet who are reluctant to hold pencil and paper otherwise. Twenty-five percent of the participants are reported to reciprocate the greeting etiquettes in class such as greeting teachers and their peers. The mobile application made a valuable contribution to early intervention program for children with autism by imparting appropriate learning opportunities readily available to them. Performance metrics underlying each activity form a strong base of identification of learning patterns and formulation of revised individualized education plan (IEP). Children with autism need the mobile application as an educational intervention program for it is readily available and user friendly. Educators need the mobile application to quantify the performance parameters and there by monitor/evaluate the progress of the child. Overall, the present research has aimed to develop an easy reach app by which educating as well as handling challenging behaviour of the children with autism would be easier. [ABSTRACT FROM AUTHOR]

Introduction: Organ donation is either when a person allows healthy transplantable organs/tissues to be removed after death, or when the donor is alive. Digitization in various aspects of healthcare is replacing humans, eliminating biases and judgement errors. The use of an android application reduces subjectivity in need assessment, accessing basic information and contacting the right facilities to register for organ donation. Objectives: To develop an android application to increase awareness among participants. To assess knowledge, attitudes and practices related to organ donation through the application. To evaluate satisfaction levels regarding the android application. Methods: A cross-sectional study was conducted among 384 participants of urban and rural areas of Pali district over four months. A predesigned pretested questionnaire was used for data collection by trained volunteers and analyzed using Epi info (version 7.2). Results: The study was conducted among 192 urban and 192 rural participants of Pali district whose average age was 27.5 years in urban and 24 years respectively,60.2% were females,29.2% were married, 96% belonged to Hindu religion and 43% were medical students .Although 82.8% of the participants had heard about organ donation only 17.2% had pledged to donate organs. The rural and urban differences were marked stating religion as a determinant of their attitude for organ donation (p-value 0.009), that infants and elders could not donate organs (p-value 0.014), that organ donation was costly (p -value 0.00), that doctors should not advocate organ donation (p-value 0.014). The median agreement was above 5 on the Likert's scale regarding the application being better than print media, increasing insight to organ donation and giving a sense of social responsibility. Conclusions: Awareness about organ donation is marred by myths, but the community had a positive attitude to use the application for increasing awareness levels. [ABSTRACT FROM AUTHOR]

Background: COVID-19 pandemic has affected mankind globally. After the three waves since March 2020, the threat continues instilling fear in the minds. Vital parameter monitoring through remote health monitoring system (RHMS) becomes critical for effective disease management and manpower safety and confidence. In a low resource setting like India, a comprehensive, wearable, and remotely operable device that is economical was required to be introduced for COVID-19 care. Present study validated the remote health monitoring device named COVIDBEEP with gold standard equipment. Materials and Methods: Six parameters, namely heart rate, SpO2, respiratory rate, temperature, blood pressure, and ECG were acquired in the supine position using the devices. Result: Analysis was performed using Graph Pad Prism. Intraclass correlation coefficients were used to measure concurrent validity. Bland-Altman graphs were plotted to know the agreement for each vital parameter. Confidence limits were set at 95%. All the parameters recorded from the devices showed a significant correlation with an "r" value between 0.5 and 0.9 with P value between 0.001 and 0.0002. Bland-Altman plots showed a minimum bias of 0.033 for heart rate and maximum of 3.5 for systolic blood pressure and respiratory rate. Conclusion: The association between the parameters recorded by the devices strengthened as the time of collection of data increased. Agreement between the two methods in 95% confidence interval was also proven to be significant for the parameters. Therefore, the indigenously developed COVIDBEEP has shown good validity in comparison to standard monitoring device. [ABSTRACT FROM AUTHOR]

Daily stand-up meetings (DSMs) are the most popular technique in agile methodologies and are deemed crucial for communication among the individual agile software developers to perform. Only a handful of studies in the past have shown the effect of the characteristics of DSMs on the attitude of agile developers. Little is known about how agile developers experience DSMs in their roles as junior/senior developers, and what feelings evoke these experiences. The purpose of this study was to describe and interpret agile developers' lived experiences with DSMs in their diverse roles. We conducted a hermeneutic phenomenological study with 19 professional agile developers. The lived experiences across the interviews revealed as an interaction between four categories: rationalising irrelevancy of DSMs, experiencing challenges with DSMs, conflicted opinion on the advantages of DSMs, and finding solutions. Developers experienced DSMs were too short to facilitate clear problem identification, or solve problems, or have a meaningful outcome. Senior developers experienced DSMs differently than junior developers in terms of sharing information, interest in other's work, monitoring progress, and facilitating decision making. Based on these findings, we discuss the theoretical contributions of our study, and offer recommendations for practitioners. [ABSTRACT FROM AUTHOR]

Introduction: The study aimed to develop a reproducible, open-source, and scalable framework for extracting climate data from satellite imagery, understanding dengue's decadal trend in India, and estimating the relationship between dengue occurrence and climatic factors. Materials and Methods: A framework was developed in the Open Source Software, and it was empirically tested using reported annual dengue occurrence data in India during 2010–2019. Census 2011 and population projections were used to calculate incidence rates. Zonal statistics were performed to extract climate parameters. Correlation coefficients were calculated to estimate the relationship of dengue with the annual average of daily mean and minimum temperature and rainy days. Results: Total 818,973 dengue cases were reported from India, with median annual incidence of 6.57 per lakh population; it was high in 2019 and 2017 (11.80 and 11.55 per lakh) and the Southern region (8.18 per lakh). The highest median annual dengue incidence was observed in Punjab (24.49 per lakh). Daily climatic data were extracted from 1164 coordinate locations across the country for the decadal period (4,249,734 observations). The annual average of daily temperature and rainy days positively correlated with dengue in India (r = 0.31 and 0.06, at P < 0.01 and 0.30, respectively). Conclusion: The study provides a reproducible algorithm for bulk climatic data extraction from research-level satellite imagery. Infectious disease models can be used to understand disease epidemiology and strengthen disease surveillance in the country. [ABSTRACT FROM AUTHOR]

Objectives: The main aim of the present work is to screen the effect of temperature and exposure time (ET) on the extraction of Opuntia ficus-indica and Opuntia dillenii cladodes. Material and Methods: The literature revealed that few attempts were made on the cladodes and other parts of the plants for extracting constituents from them. However, no attempts were made on screening to find out the impact of dependent variables on the independent response. Design of the experiment using quality by design software, namely, Design Expert was used to reveal the impact of the dependent variable on the response. Results: O. ficus-indica and O. dillenii were poised, authenticated, and were hauled out with water and the effect of dependent variables (temperature and ET) on the response (% yield) was assessed. The equation coded from this study for the % yield was generated as +54.30+0.4061A-0.6432B+0.1500AB+0.8375A2+0.3875B2. Conclusion: The study revealed that 65°C is the optimum temperature and the extraction and ET are directly proportional to extracting the contents from the cladodes. [ABSTRACT FROM AUTHOR]

Background: More than forty million people suffer from depression in India. A lack of awareness, stigma related to mental health issues, and limited accessibility to treatment services magnify the profound personal and societal impact of depression. Given the rise of smartphones in India, mobile technology can help alleviate some of these depression-related challenges. Aims and method: The aim of this paper is to investigate the essential features of an India targeted depression smartphone app. We conducted an online survey to profile the needs of individuals with depression in India, which varied based on variables such as socioeconomic background, age, level of awareness toward depression, and the extent of exposure to mental health stigma. We also conducted a systematic evaluation of depression apps currently available to Indian users to investigate the user needs that these apps met and the needs that they failed to meet. Based on our findings, we made a set of recommendations related to the essential features of a future app targeted at managing depression in India. Results: Presently available depression apps fall short in providing some significant features such as local language options, content in audio and video formats, and user location matched resources. These gaps make these apps less than fully relevant to a diverse set of Indian users. Conclusions: It is essential to provide depression-related information in a targeted manner depending upon each user's particular needs and context. Potential customizations, such as offering content in local languages and flexible formats (e.g. audio, video, and text); and providing user-relevant diagnostic tools and location matched treatment resources can help improve the suitability of the app for diverse users. [ABSTRACT FROM AUTHOR]

AstroSat Proposal Processing System (APPS) is a mission critical software solution designed and developed by the joint efforts of Indian Space Research Organization and the Inter-University Centre for Astronomy and Astrophysics. It facilitates the participation of global scientific community to submit scientific proposals for observations with India's first multi-wavelength space observatory. The software systematizes the proposal submission and review process before the successful proposed observations are scheduled to carryout scientific observations. This paper describes the overall architecture of the system, implementation stratagems, administrative aspects and security aspects of the software. The paper also describes the techniques adopted for seamless day-to-day operations in meeting the mission requirements. As a future direction, the paper summarizes the roadmap for development of a generic multi-mission proposal handling model from the experiences gained through APPS. [ABSTRACT FROM AUTHOR]

Background: The majority of dog-mediated human rabies as well as rabies-related human deaths are reported from low-income countries of Asia and Africa where access to appropriate postexposure prophylaxis is limited or nonexistent. At present, India is second in position after China in terms of having the highest number of mobile phone users surpassing the United States. Objective: In this context, we decided to develop a user-friendly, technically less demanding, mobile App for health-care professionals, which is accessible even without Internet facility. Methodology: The current study was conducted in four phases, namely assemblage of informational contents on rabies, development of the software, assessment of the reliability of the questionnaire tool and evaluation of the mobile App. The evaluation of App was conducted among physicians and nursing staffs in a tertiary care referral hospital. Results: The information content was prepared referring national and international guidelines. The App was designed with Hypertext Markup Language 5 for presentation on the World Wide Web and was coined the name of "RabiApp." This is a hybrid App of the native App and web App, allowing the information to be stored in the local server. The mobile App was assessed using a validated and reliable questionnaire after confirming the internal consistency by means of Cronbach's alpha. The overall Cronbach's alpha for the main scale was 0.788, which was a respectable score. Conclusion: The developed App is a user-friendly, easily accessible platform, which can help health-care professionals in making decisions regarding rabies wound management, treatment, and prophylaxis. [ABSTRACT FROM AUTHOR]

Background: Children with autism spectrum disorder (ASD) who are nonverbal lack communication skills. These children with ASD are unable to express their needs verbally even if they want to. The introduction of indigenous augmentative and alternative communication system (AAC) can be helpful in improving the social interaction. By using AAC, these children with ASD can easily communicate their needs with parents, teachers, or caregivers. Objective: The objective of this study is to evaluate the importance and need of AVAZ application in special school-going children with ASD. Study Design: A pilot study for short term on small sample was conducted. Methods: A sample of eight special school-going children with ASD was selected. Each child had downloaded AVAZ application trial version on their smartphone from the Google Play Store. The number of sentences formed by the children over a period of 21 days was analyzed. The responses were recorded in the AVAZ application. Results: Percentage improvement was noted in forming relevant sentences through the application of each child from the 1st to 21st session ranging from 28.5% to 40%; five children showed the improvement but three children did not form any sentence neither relevant nor nonrelevant. Conclusion: Our study showed that the use of AVAZ application can be helpful in improving social interaction and can be utilized as a supporting tool for functional communication with others and for the better learning process in children with ASD. [ABSTRACT FROM AUTHOR]

Background: The World Health Organization and the World Bank's "World Report on Disability" reported that over 1 billion people have various kinds of disability worldwide while Indian Census 2011 reported about 26 million in India. The United Nations Convention states, "The Rights of Persons with Disabilities (PwD) include accessibility to Information, Transportation, Environment, Communication Technology and Services". Objective: This article takes forward the reason of making the "EasenAccess" (EnA) Android-based app to empower PwD with wheelchair-accessibility information, communication sentences and sending SOS signals with location. Methods: A survey of 25 most frequented places in New Delhi by common people and tourist with chosen 12 parameters in comparison the Government of India's survey of 100 most important buildings nationally. Results: A statistical analysis and recommendations about areas for improvement, for the Government of India. Conclusions: EasenAccess helps millions of PwD to enable them with freedom of movement for employment and socio-economic activities to lead an independent lifestyle. EasenAccess increases government's access to information about lacunae, gives them an easy way to tabulate the places where more accessibility needs updating, and helps the government in facilitating information flow to the PwD. The Rights of Persons with Disability Act in 2016 covers both the concepts of Universal Design of products, environments and programs; and accessibility. We are exploring with them the ways technology can help bridge the gap between rehabilitation and accessibility. In the higher income countries such as the UK or USA, it is normal for a person to receive training when being given a wheelchair to prevent future injuries. Frequently, even with this, training people develop upper limb injuries, due in part to the high, repetitive loads needed to push a wheelchair. This training is given as part of a package of rehabilitation, which also normally includes adaptations to people's living environments, which will enable them to use their wheelchair indoors. In Accessible Routes from Crowd-based Cloud Services (ARCCS) many NGOs have been able to develop sensors, which are themselves part of the Internet of Things, which when attached to a mobility device extend the ability of that device. Users can interact with the sensor data on their mobile phone via an app. They can also add geo-tagged photo or voice notes to annotate their journey. These can then be shared with other users of the ARCCS system. The system has been developed with a range of wheelchair users and other stakeholders. For example, one such initiative by the Government of India is called "Street Rehab". The aim of Street Rehab is to co-develop a new system for delivering a service for wheelchair users, which puts everyday activities at the heart of the rehabilitation process. To do this, a clear understanding of user needs, available technology and the accessibility of the city are all required. The first step is to understand the current accessibility of Delhi, the next to map this with the rehabilitation and livelihoods requirements of the wheelchair and tricycle users. This approach has led to the development of novel sensors and a data processing chain, which can automatically identify features of the sidewalk or surface, for example, drop curb, camber, and rough terrain. These classifications are then used to help with increasing localization of the person. In addition, the sensors can be used to identify how the pushing techniques of people, who self-propel their wheelchair. They have developed these sensors, as mobile phones alone, while useful if secured in a fixed position, are not adequate when loosely placed in bags or pockets. The aim is to find practical solutions for those who use mobility aids in India to access the services and places they wish to without risk of injury. Injuries can occur due to toppling out of a mobility device, being hit by a vehicle or developing an injury over time due to the demand of pushing/cycling the mobility device. EasenAccess can be a synergistic platform for all such future community based rehabilitation approaches. It can also help compile and collate data for accessibility gaps and rehabilitation issues encountered. EasenAccess app can thus help create an emerging framework, which puts the experience of the wheelchair user at the center but with a clear connection to people who can implement policy change on a broad scale.One that includes local people who will be advocates for creation of accessible maps, and local NGOs to provide hubs of training. These can be linked to a series of YouTube videos and supported via a messaging service, for example, local WhatsApp groups or social media groups, for example, a Facebook Page. With infinite possibilities, as illustrated above, EasenAccess app can create a new technological paradigm for convergence of Accessibility and Rehabilitation. [ABSTRACT FROM AUTHOR]

The ability to exploit students' sentiments using different machine learning techniques is considered an important strategy for planning and manoeuvring in a collaborative educational environment. The advancement of machine learning technology is energised by the healthy growth of big data technologies. This helps the applications based on Sentiment Mining (SM) using big data to become a common platform for data mining activities. However, very little has been studied on the sentiment application using a huge amount of available educational data. Therefore, this paper has made an attempt to mine the academic data using different efficient machine learning algorithms. The contribution of this paper is two-fold: (i) studying the sentiment polarity (positive, negative and neutral) from students' data using machine learning techniques, and (ii) modelling and predicting students' emotions (Amused, Anxiety, Bored, Confused, Enthused, Excited, Frustrated, etc.) using the big data frameworks. The developed SM techniques using big data frameworks can be scaled and made adaptable for source variation, velocity and veracity to maximise value mining for the benefit of students, faculties and other stakeholders. [ABSTRACT FROM AUTHOR]

Background: Assessment of cognitive development is essential to identify children with faltering developmental attainment and monitor the impact of interventions. A key barrier to achieving these goals is the lack of standardized, scalable tools to assess cognitive abilities. Objective: This study aimed to develop a tablet-based gamified assessment of cognitive abilities of 3-year-old children which can be administered by non-specialist field workers. Methods: Workshops among domain experts, literature search for established and gamified paradigms of cognitive assessments and rapid review of mobile games for 3-year-old children was done to conceptualize games for this study. Formative household visits (N = 20) informed the design and content of the games. A cross-sectional pilot study (N = 100) was done to assess feasibility of the tool and check if increasing levels of difficulty and the expected variability between children were evident in game metrics. In-depth interviews (N = 9) were conducted with mothers of participating children to assess its acceptability. Results: Six cognitive domains were identified as being integral to learning – divided attention, response inhibition, reasoning, visual form perception and integration and memory. A narrative, musical soundtrack and positive reinforcement were incorporated into the tool to enhance participant engagement. Child performance determined level timers and difficulty levels in each game. Pilot data indicate that children differ in their performance profile on the tool as measured by the number of game levels played and their accuracy and completion time indicating that it might be possible to differentiate children based on these metrics. Qualitative data suggest high levels of acceptability of the tool amongst participants. Conclusions: A DEvelopmental assessment on an E-Platform (DEEP) has been created comprising distinct games woven into a narrative, which assess six cognitive domains, and shows high levels of acceptability and generates metrics which may be used for validation against gold standard cognitive assessments. [ABSTRACT FROM AUTHOR]

Objective: To study the effect of homeopathic medicines (in higher potencies) in normal subjects, Peripheral Pulse Analyzer (PPA) has been used to record physiologic variability parameters before and after administration of the medicine/placebo in 210 normal subjects. Methods: Data have been acquired in seven rounds; placebo was administered in rounds 1 and 2 and medicine in potencies 6, 30, 200, 1 M, and 10 M was administered in rounds 3 to 7, respectively. Five different medicines in the said potencies were given to a group of around 40 subjects each. Although processing of data required human intervention, a software application has been developed to analyze the processed data and detect the response to eliminate the undue delay as well as human bias in subjective analysis. This utility named Automatic Analysis of Intervention in the Field of Homeopathy is run on the processed PPA data and the outcome has been compared with the manual analysis. The application software uses adaptive threshold based on statistics for detecting responses in contrast to fixed threshold used in manual analysis. Results: The automatic analysis has detected 12.96% higher responses than subjective analysis. Higher response rates have been manually verified to be true positive. This indicates robustness of the application software. The automatic analysis software was run on another set of pulse harmonic parameters derived from the same data set to study cardiovascular susceptibility and 385 responses were detected in contrast to 272 of variability parameters. It was observed that 65% of the subjects, eliciting response, were common. Conclusion: This not only validates the software utility for giving consistent yield but also reveals the certainty of the response. This development may lead to electronic proving of homeopathic medicines (e-proving). [ABSTRACT FROM AUTHOR]

Online fashion retailers promote use of fashion apps among their consumers. However, dissatisfaction in using these apps is one of the reasons consumers uninstall them. This research studies the influence of information quality, service quality, and system quality on app satisfaction. Further, the influence of app satisfaction on purchase intentions is also studied. In addition, the moderating role of personalization among the three quality dimensions and app satisfaction is observed. Primary data were collected from 268 respondents. The results established system quality as the most significant factor influencing app satisfaction. Further, personalizing the app increased the influence of the three quality dimensions on app satisfaction. [ABSTRACT FROM AUTHOR]

The article presents a study which designs and evaluates a unified open-source framework for visually impaired people in India who are deprived of using Braille and text to speech systems due to the difference in the technology required for Indian languages. It discusses the different components of the proposed framework such as an Indian language text to Braille forward and reverse transliteration system, tactile graphics converter, and Indian language file reader system.

Studies of diet and disease risk in India and among other Asian-Indian populations are hindered by the need for a comprehensive dietary assessment tool to capture data on the wide variety of food and nutrient intakes across different regions and ethnic groups. The nutritional component of the India Health Study, a multicentre pilot cohort study, included 3908 men and women, aged 35–69 years, residing in three regions of India (New Delhi in the north, Mumbai in the west and Trivandrum in the south). We developed a computer-based, interviewer-administered dietary assessment software known as the ‘NINA-DISH (New Interactive Nutrition Assistant – Diet in India Study of Health)’, which consisted of four sections: (1) a diet history questionnaire with defined questions on frequency and portion size; (2) an open-ended section for each mealtime; (3) a food-preparer questionnaire; (4) a 24 h dietary recall. Using the preferred meal-based approach, frequency of intake and portion size were recorded and linked to a nutrient database that we developed and modified from a set of existing international databases containing data on Indian foods and recipes. The NINA-DISH software was designed to be easily adaptable and was well accepted by the interviewers and participants in the field. A predominant three-meal eating pattern emerged; however, patterns in the number of foods reported and the primary contributors to macro- and micronutrient intakes differed by region and demographic factors. The newly developed NINA-DISH software provides a much-needed tool for measuring diet and nutrient profiles across the diverse populations of India with the potential for application in other South Asian populations living throughout the world. [ABSTRACT FROM PUBLISHER]

Over the last decade, India has emerged as an important global player in software and other IT enabled services. Studies have attributed India's success to factors such as the existence of a large pool of English-speaking and technically qualified manpower, low cost, and minimal regulatory intervention. While the influence of these factors cannot be denied, the authors feel that adaptive as well as archetypal project management practices have the biggest influence on the industry in maintaining its competitive edge. This paper presents the features of the project management practices in the Indian software industry on the basis of a questionnaire survey, field visits and a number of interviews with industry participants and researchers. The paper addresses the unique characteristics of the industry and highlights the opportunities and challenges facing the project managers. [ABSTRACT FROM AUTHOR]

Of late, there has been an increase in hearing impairment cases and to provide the most advantageous solutions to them is an uphill task for audiologists. Significant difficulty faced by the audiologists is in effective programming of hearing aids to provide enhanced satisfaction to the users. The main aim of our study was to develop a software intelligent system (SIS): (i) to perform the required audiological investigations for finding the degree and type of hearing loss, and (ii) to suggest appropriate values of hearing aid parameters for enhancing the speech intelligibility and the satisfaction level among the hearing aid users. In this paper, we present a Neuro-Fuzzy based SIS to automatically predict and suggest the hearing-aid parameters such as gain values, compression ratio and threshold knee point, which are needed to be fixed for different octave frequencies of sound inputs during the hearing-aid trial. The test signals for audiological investigations are generated through the standard hardware present in a personal computer system and with the aid of a software algorithm. The proposed system was validated with 243 subjects’ data collected at the Government General Hospital, Chennai, India. The calculated sensitivity, specificity and accuracy of the proposed audiometer incorporated in the SIS were 98.6%, 96.4 and 98.2%, respectively, by comparing its interpretations with those of the ‘gold standard’ audiometers. Furthermore, 91% (221 of 243) of the hearing impaired subjects attained satisfaction in the first hearing aid trials itself with the gain values as recommended by the improved SIS. The proposed system reduced around 75% of the ‘trial and error’ time spent by audiologists for enhancing satisfactory usage of the hearing aid. Hence, the proposed SIS could be used to find the degree and type of hearing loss and to recommend hearing aid parameters to provide optimal solutions to the hearing aid users. [ABSTRACT FROM AUTHOR]