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Effect of Subtitles on Gaze Behavior during Shot Changes: An Eye-tracking Study; [Efecto de los subtulos en el comportamiento de la mirada durante los cambios de plano: un estudio de seguimiento ocular]
The study provides a comprehensive picture of the effect of subtitles on the gaze behavior of the participants while watching continuity editing and discontinuity editing style cinema. Three video clips (with English subtitles and without subtitles) of continuity editing and discontinuity editing styles were presented to participants. The video clips came from English movies and the participants were not native English speakers. Entry time, dwell time, first fixation time, scan path, and average fixation duration were taken as dependent variables in this within-group study. The eye-tracking data gathered were subjected to repeated measures of two-way ANOVA and paired t-test. Results revealed that the appearance of subtitles at the bottom of the screen changed the eye movement pattern of the participants during the shot changes. Timing of the subtitle starting point (before the cut or after the cut) also affected the gaze behavior. The editing style, however, did not make any difference in the gaze behavior of participants while watching subtitled video clips. Further, participants preferred reading subtitles to seeing visual images even if the subtitles were presented during the shot changes. 2023. International Journal of Psychological Research provides open access to all its contents under the terms of the license creative commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) -
An empirical analysis of sustainability of public debt among BRICS nations
The main objective of this paper is to verify the sustainability of public debt among Brazil, Russia, India, China and South Africa (BRICS) in a political economy framework. Annual panel data have been used for BRICS countries from World Development Indicators of World Bank for the period 19802017 for the analysis. Bohn's sustainability framework is used to examine the sustainability of public debt in BRICS nations and verify the influence of political economic variables such as election year, coalition dummy, ideology of the government and unemployment on public debt sustainability. The results suggest that public debt sustainability is weak for BRICS as a whole. China and India have a better public debt sustainability coefficients compared to the same for Brazil, Russia and South Africa. Structural change dummy included in the model suggests that debt sustainability is severely affected after the 2008 crisis period. Political factors have influence on debt sustainability in BRICS. Electoral cycle year and coalition dummy variables adversely affect public debt sustainability in BRICS. While centrist political ideology is found to be significant and negative, left and right ideologies are not significant for debt sustainability. Since debt sustainability is found to be weak in BRICS, countries in the region need to adopt necessary measures to improve their primary balance through appropriate fiscal and debt management. Besides, it is important for the governments to prioritize fiscal prudence irrespective of their ideologies and political compulsions. 2020 John Wiley & Sons, Ltd -
Value addition to international students' exchange programs through engagement in services
Social responsibility has been an emerging concept in Higher Educational Institutions in India. Promoting social responsibility through international students' exchange programs helps students' capacity to improve their cultural, social and service knowledge to bring about sustainable and meaningful development. This chapter looks at the impact of the interventions of international students in slum communities, especially working with children and women for their academic, health and economic empowerment. This was a qualitative study using a self-structured interview schedule. Data were collected from twenty international students from universities of Norway and the Netherlands who were placed in urban slums for five years and thirty children and women from urban slums of Bangalore who benefitted from this program. A purposive sampling method was used, and the data were analyzed using thematic analysis. This chapter reveals the development of children and women through international students' programs and helps showcase further planning for innovative programs for vulnerable populations. Attitudes of both groups towards cultural differences and the expectation and effectiveness of the exchange program may also be described in this chapter. This chapter intends to help plan international exchange programs from different dimensions benefiting the slum communities for their development and sensitizing cultural differences from different perspectives. 2024 Nova Science Publishers, Inc. -
Barriers to Smart Home Technologies in India
Smart home technologies (SHT) are critical for effectively managing homes in a digital society. However, SHTs face challenges related to their limited use in developing country contexts. This study investigates the factors that act as barriers to SHT adoption among individuals in Bengaluru, India. The roles of perceived risk, performance and after-sale service, and demographics in using smart home technologies (SHT). This study used the data from the primary survey of 133 respondents. The collected data were analyzed using regression analysis. The results supported five of the proposed hypotheses, namely, perceived performance risk, perceived financial risk, perceived psychological risk, and technological uncertainty, which influence the Behavioral intention to adopt SHT. However, service intangibility is influenced by performance risk. Income and age influence the psychological risk and adoption of SHT. The study identifies the barriers to SHT adoption. The supportive environment for SHT needs to be strengthened to reduce the associated risks. IFIP International Federation for Information Processing 2024. -
A Review on Fish Skin-Derived Gelatin: Elucidating the Gelatin PeptidesPreparation, Bioactivity, Mechanistic Insights, and Strategies for Stability Improvement
Fish skin-derived gelatin has garnered significant attention recently due to its abundant availability and promising bioactive properties. This comprehensive review elucidates various intricacies concerning fish skin-derived gelatin peptides, including their preparation techniques, bioactive profiles, underlying mechanisms, and methods for stability enhancement. The review investigates diverse extraction methods and processing approaches for acquiring gelatin peptides from fish skin, emphasizing their impact on the peptide composition and functional characteristics. Furthermore, the review examines the manifold bioactivities demonstrated by fish skin-derived gelatin peptides, encompassing antioxidant, antimicrobial, anti-inflammatory, and anticancer properties, elucidating their potential roles in functional food products, pharmaceuticals, and nutraceuticals. Further, mechanistic insights into the functioning of gelatin peptides are explored, shedding light on their interactions with biological targets and pathways. Additionally, strategies aimed at improving the stability of gelatin peptides, such as encapsulation, modification, and integration into delivery systems, are discussed to extend the shelf life and preserve the bioactivity. Overall, this comprehensive review offers valuable insights into using fish skin-derived gelatin peptides as functional ingredients, providing perspectives for future research endeavors and industrial applications within food science, health, and biotechnology. 2024 by the authors. -
Human activity recognition using wearable sensors
The advancement of the internet coined a new era for inventions. Internet of Things (IoT) is one such example. IoT is being applied in all sectors such as healthcare, automobile, retail industry etc. Out of these, Human Activity Recognition (HAR) has taken much attention in IoT applications. The prediction of human activity efficiently adds multiple advantages in many fields. This research paper proposes a HAR system using the wearable sensor. The performance of this system is analyzed using four publicly available datasets that are collected in a real-time environment. Five machine learning algorithms namely Decision tree (DT), Random Forest (RF), Logistics Regression (LR), K-Nearest Neighbor (kNN), and Support Vector Machine (SVM) are compared in terms of recognition of human activities. Out of this SVM responded well on all four datasets with the accuracy of 77%, 99%, 98%, and 99% respectively. With the support of four datasets, the obtained results proved that the performance of the proposed method is better for human activity recognition. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Hyperledger Fabric as a Secure Blockchain Solution for Healthcare 4.0 Framework
The healthcare sector deals with extremely sensitive information that must be administered in a safe and confidential way. The objective of the proposed framework is to utilize Blockchain Technology (BT) for tracking medical prescriptions and the implementation is carried out using the Hyperledger Fabric platform, an enterprise-grade open-source distributed ledger technology platform designed for Bigdata applications. Multiple entities, including patients, e-pharmacies, pharmacies, doctors and hospitals can establish connections by introducing several nodes in the Fabric chain. A web-centered application is provided for doctors, connecting them with participating pharmacies, hospitals and e-pharmacies through which, they can share patient prescription. Pharmacies and e-pharmacies have access to this data and can notify patients about the availability of prescribed medicines. Additionally, reminders for refills, such as heart medication, can be sent for patients requiring long-term medication. Patients can also try with nearby pharmacies and the availability of their prescribed medicines. The inclusion of a wallet feature in the application enables patients to use mobile tokens for making purchases. Patient data is treated with the utmost confidentiality, kept private, and accessed only upon request and with the consent of the concerned parties. This privacy is ensured through the use of zero-knowledge proof. Patients retain access to their complete medical history, facilitating interactions with doctors without the need for repetitive information sharing. 2023 IEEE. -
Smart Embedded Framework of Real-Time Pollution Monitoring and Alert System
The sustainability and progress of humanity depend on a clean, pollution-free environment, which is essential for good health and hygiene. Huge indoor auditorium does not have proper ventilation for air flow so when the auditorium is crowded the carbon di-oxide is emitted and it stays there for many days this may be a chance to spreading of COVID-19 and other infectious diseases. Without proper ventilation virus may present in the indoor auditorium. In the proposed system, emissions are detected by air, noise, and dust sensors. If the signal limit is exceeded, a warning is given to the authorities via an Android application and WiFi, and data is stored in cloud networks. In this active system, CO2 sensor, noise sensor, dust sensor, Microcontroller and an exhaust fan are used. This ESP-32 based system is developed in Arduino Integrated Development Environment (Aurdino IDE) to monitor air, dust and noise pollution in an indoor auditorium to prevent unwanted health problems related to noise and dust. More importantly, using IoT Android Application is developed in Embedded C, which continuously records the variation in levels of 3 parameters mentioned above in cloud and display in Android screen. Also, it sends an alert message to the users if the level of parameters exceeds the minimum and maximum threshold values with more accuracy and sensitivity. Accuracy and sensitivity of this products are noted which is very high for various input values. 2022 IEEE. -
IoT Based Enhanced Safety Monitoring System for Underground Coal Mines Using LoRa Technology
Extracting coal from Underground mine is a hazardous and tough job that needs continuous monitoring of environmental conditions to protect workers health and safety. Though some research works have explored wireless monitoring devices for underground mining, such as ZigBee and Wi-Fi technologies, they come with inherent restraints for instance restricted coverage, susceptibility to interference, reliability issues, security concerns, and high-power consumption. An Enhanced Safety Monitoring System for coal extraction from Underground Mines, employing LoRa communication technology for the effectual transmission of collected data to overcome existing challenges is discussed in this paper. The proposed system consists of two subsystems, one for monitoring the status of miners and another for comprehensive monitoring. LoRaWAN (Long Range Wide Area Network) is a multipoint protocol and this media access control (MAC) enables low-power devices to establish communication with Internet of Things (IoT) applications over extended wireless connections for long-range networks. LoRaWAN operates on lower radio frequencies, thereby providing a longer range of communication. This technology is known for its efficiency in optimizing LPWAN, offering extended range, extended battery life, robustness, and cost-effectiveness, making it highly suitable for industrial mining applications. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Neuroleadership strategies: Elevating motivation and engagement among employees
In the ever-evolving landscape of the modern era, organizations face the ongoing challenge of maintaining motivated and engaged employees. Despite the substantial body of research on this topic, many organizations still struggle to effectively promote engagement and motivation among their employees. This research aims to investigate the application of neuroleadership strategies in addressing this issue. The SCARF model, based on neuroscience principles, provides a valuable framework for understanding neuroleadership strategies which address social and emotional triggers that impact engagement and motivation. It can be effectively used to drive motivation and engagement in the workplace by addressing the fundamental social and emotional needs of employees. This study employs a quantitative approach which assesses the 321 employees from different organizations in India. The results of the study would provide leaders with practical insights to boost motivation and engagement in organizations and thereby improve the effectiveness of the organization. 2024, IGI Global. All rights reserved. -
Transforming workplace stress: The importance of neuroleadership for building resilient work environment
Workplace stress is a common issue that can significantly impact both employees and employers. This study explores the dynamic intersection of workplace stress and the emerging field of neuroleadership, offering insights into fostering resilient work environments. Drawing on the principles of neuroleadership, the chapter highlights how an understanding of neuroscience can inform leadership practices and contribute to creating resilient workplaces. This chapter discusses the neurological basis of stress and the role of leaders in mitigating its effects. It explores emotional intelligence in leadership and the impact of organisational culture on stress resilience. The chapter suggests practical interventions like mindfulness practices and supportive work environment initiatives grounded in neuroscience to cultivate a culture of wellbeing. By adopting resilient leadership strategies and understanding the neuroscience of stress, organisations can create environments that promote employee wellbeing and navigate the challenges of the modern workplace. 2024, IGI Global. All rights reserved. -
IoT Based Risk Monitoring System
The Internet of things (IoT) aims at connecting different objects, things using internet. The IoT is expanding rapidly and this motivates to apply for the food preservation domain such as preserve the standard of the veggies and fruits. In this paper we have worked on a cold storage system to analyze the environmental conditions under which the food item is being stored. The proposed system senses the temperature, moisture, gas parameters of surrounding environment as these parameters affect nutritional values of food items. An Arduino-based system is created and put into operation; it serves as both a central hub and a network layer for the refrigerated holding tank. It is also linked to the cloud, where an open-source application server supports digital storage functions. By establishing a connection to the database (DB) via its IP address, the measured variables are delivered to the base station (BS) from the cloud and stored there. Then, a cooperative sensing model that uses many observed information as input and one merged informational item or action to be performed as output is tried. As a result, numerous inputs, such as temperature and humidity, were combined and averaged to provide a tightly integrated result. Last, the system integrated an android mobile application which is used to facilitate user interaction and connect through IoT based system that is station or gateway and the internet. GPS is Used to track the remote cold storage and transport container live locations. 2022 IEEE. -
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Acculturation and adaptation experiences of third generation adolescent migrants of Andaman and Nicobar islands
Andaman and Nicobar Islands saw movement from 1857 amid the reformatory settlement design of the British Government followed by Independent relocation after 1947. The relocation makes a heritage of acculturation and adaptation experiences of the migrants and their descendants. The administration stretched out certain facilities to the migrants like job reservation, simple access to government jobs in the Islands, reservation for higher education and so forth amid the 50's, 60's and 70's. The number of inhabitants in the Islands has now come to a disturbing level and the facilities and opportunities have contracted down, yet individuals have not changed their outlook rather and for them, everything stays in and around the Islands. This study aims to understand the acculturation and adaptation experiences of the third generation adolescent migrants of Andaman and Nicobar Islands. The study proposes to follow the methodology based on grounded theory. Using Theoretical sampling method, third generation adolescent migrants of the Islands were recruited for the study. The average age of the participants recruited for this study is 18.6 years with 83% of them are male and the remaining 17% are female. Individual interview sessions, lasting approximately 45 to 90 minutes were conducted with the participants to know how their acculturation and adaptation experiences. The transcripts of the interviews were thematically analyzed with the help of Nvivo 10. The transcripts were dissected and 1950 codes from 7903 text segments which became the main foundation for the analysis of data. The codes were further reduced into 54 basic themes, again into 21 organizing themes and finally into 05 global themes. The process of acculturation, psychological adaptation, socio-cultural adaptation, influencing factors and academic aspiration were the global themes which became the building block for five thematic networks addressing the main and specific objectives of the study. -
A Study on Restrained Geodetic Domination in Graphs
In a graph G = (V, E), the shortest path between any two vertices u and v in G is u and#8722; v geodesic. This distance concept leads to the introduction of geodetic set and geodetic number which has wide applications in location theory and convexity theory. A vertex subset S of a graph G is said to be a geodetic set, if all vertex in G is in u and#8722; v geodesic for some pair of vertices u and v in S. The minimum cardinality of such a set is the geodetic number and is denoted as g(G). A vertex subset M of a graph G is said to be a dominating set of G if for all vertex v and#8712; V (G), either v and#8712; M or v is adjacent to a vertex in M. The minimum cardinality of such a set is the domination number and is denoted by and#947;(G). In general, the geodetic set and newlinethe dominating set of a graph need not be the same. This led to the study of the geodetic dominating set. If a geodetic set S is a dominating set of a graph G, then S is called a geodetic dominating set. The minimum cardinality of such a set is the geodetic domination number, which is represented by and#947;g(G). There are several studies done on the geodetic and domination concepts so far. In the present study, we have explored the concept of restrained geodetic domination and its structural properties in graphs particularly in product graphs and derived graphs. A vertex subset S of a graph G = (V, E) is called a restrained geodetic dominating set if S is a geodetic dominating set of G and lt V and#8722; S gt has no isolated vertex. The minimum cardinality of such a set is called restrained geodetic domination number, which is denoted by and#947;gr(G). We have studied this concept for diand#64256;erent classes of graphs and concerning the graph operations such as Cartesian product, corona product, and join of graphs. Further, the study is extended to restrained geodetic domination in derived graphs such as edge subdivision graph, line graph and power of a graph. Also, investigated the properties of graphs with the restrained geodetic domination number equal to the order of the graph. -
Smart internet of things (IOT) enabled agricultural farming system /
"Patent Number: 202241047525, Applicant: Justin Joy.
Smart Internet of Things (IoT) enabled agricultural farming system that aims to extract the values of soil parameters by using IoT sensors and appropriately control the watering of crops. Thus, this system allows crop cultivation even in a hot and dry climate. Crops can be watered remotely and temperature controlled to be maintained within an appropriate range. Automated irrigation systems using WSN (Wireless Sensor Networks) and GPRS (General Packet Radio Service) modules assist in optimizing water use for agriculture crops. This system comprises a distributed wireless sensor network with soil moisture and temperature sensor in WSN. -
A study of thinking style, teacher effectiveness and emotional intelligence of secondary school teachers of Bangalore city
Education is a social process by which knowledge is transferred to students through the intermediaries, the teachers. It can be had from non - formal and formal systems of Education. All formal systems are based on the classroom teaching. "The destiny of India is being shaped in her classroom", has been pointed out by the Indian Education Commission (KOTHARI COMMISSION) (1964-66) and to that, it may be safely added that the destiny of these classrooms is being shaped by the teachers. According to the American Commission, the quality of the nation depends upon the quality of the citizens. The quality of its citizens depends, not exclusively, but in critical measure upon the quality of their Education. The quality of their education depends more upon the quality of teachers. Humayun Kabir rightly said once, "Without good teachers even the best of system is bound to fall, with good teachers, even the defects of a system can be largely overcome". The teacher is the flywheel of the whole educational machine. Elaborate blue prints, modern school plans, the best equipment, the newest of the new
media or progressive methods will remain dead fossils unless there is the right use of teachers. The document, Challenge of Education -A Policy Perspective (1985) has highlighted that teacher performance is the most crucial input in Education. No development has reached the threshold of development of new technology which is likely to revolutionize the classroom teaching. -
Enhancing Kubernetes Auto-Scaling: Leveraging Metrics for Improved Workload Performance
Kubernetes is an open-source production-grade container orchestration platform, that can enable high availability and scalability for various types of workloads. Maximizing the performance and reducing the cost are two major challenges modern applications encounter. To achieve this, resource management and proactively deploying resources to meet specific application requirements becomes utmost important. Adopting Kubernetes auto-scaler to fit one's needs are important to maximize the performance. This study aims to perform a comprehensive analysis of Kubernetes auto-scaling policies. This paper also lists out the various parameters considered for auto-scaling, and prediction methods used to efficiently handle resource requirements of applications. The research findings reveal a scarcity in the existing work regarding the variety of workload based auto-scaling and custom metrics. This paper provides a concise overview of a forthcoming research endeavor that explores the utilization of custom metrics in conjunction with auto-scaling. 2023 IEEE. -
Reinforcement Learning based Autoscaling for Kafka-centric Microservices in Kubernetes
Microservices and Kafka have become a perfect match for enabling the Event-driven Architecture and this encourages microservices integration with various opensource platforms in the world of Cloud Native applications. Kubernetes is an opensource container orchestration platform, that can enable high availability, and scalability for Kafkacentric microservices. Kubernetes supports diverse autoscaling mechanisms like Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA) and Cluster Autoscaler (CA). Among others, HPA automatically scales the number of pods based on the default Resource Metrics, which includes CPU and memory usage. With Prometheus integration, custom metrics for an application can be monitored. In a Kafkacentric microservices, processing time and speed depends on the number of messages published. There is a need for auto scaling policy which can be based on the number of messages processed. This paper proposes a new autoscaling policy, which scales Kafka-centric microservices deployed in an eventdriven deployment architecture, using a Reinforcement Learning model. 2022 IEEE.