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Evaluating the Use of White Board Animation in the Learning Process; [Evaluaci del uso de la animaci de pizarra en el proceso de aprendizaje]
A big challenge for the present-day trainers and teachers is to attract and retain the attention of the students and participants. In the era of social media and smartphones, students have several things that can distract them during the learning process and the responsibility to find ways to engage them effectively falls on the teacher. Based on a review of literature on technological developments, the researchers of the current study propose the use of whiteboard animation multimedia as a tool to enhance the learning experience. In the current study, the effectiveness of this technique is evaluated through a pre-test post-test control group design and the sample comprised of students of the masters in business administration course. The findings provide empirical evidence supporting the use of whiteboard animation videos to supplement classroom learning. 2022 Authors. All rights reserved. -
Probability of Medication Adherence When Alarm Is Used as a Reminder
The main objective of this research is to find the effect of alarm as a form of reminder in improving medication adherence rate. Medication non-adherence is a problem that adversely impacts patients' health, finances, and longevity. Several factors are associated with medication non-adherence. This research uses the method of probability estimates, risk difference, relative risk, and odds ratio to analyze the probability of an increase in medication adherence among patients who use the alarm as a form of reminder. By clustered sampling and a structured questionnaire, 525 responses were obtained from patients suffering from different types of diseases in the state of Sikkim, India. It has been observed that using the alarm as a form of reminder significantly improves adherence rates. The odds of not missing a dose reduces to 49.3%. At a personal level, the chance of not missing the dose reduces by 32.6%, and if the total population is considered, 16.4% of people will not skip the dose if a reminder in the form of an alarm is used. 2022 International Journal of Reliable and Quality E-Healthcare. All rights reserved. -
Indias Handling of the Covid-19 Crisis: Could a Rights-Based Approach Overcome Systematic Inadequacies?
Covid-19 exposed the fragility and inadequacies in Indias health care system, especially in its public health services. The sudden lockdown imposed during the first wave of the virus severely impacted the livelihoods of millions of migrant workers. Then, in spite of warnings about an impending second wave of infection, the governments failure to prepare the health infrastructure, together with delays in vaccine distribution, cost the lives of hundreds of thousands of people. Unlike the first wave of infection, the second wave impacted rural India very badly. Taking into consideration the existing social hierarchies and inequalities, it was marginalised groups of the population who bore the brunt of the pandemic. This article analyses the failures of the Indian government in handling the Covid-19 crisis, especially during the second wave, and concludes by suggesting ways in which the state needs to intervene to avert disasters of this kind in the future. It argues for the adoption of a rights-based approach to public health on the grounds that successive governments have not been properly held to account for their long-term failures to address the issue. 2022 The Royal Society for Asian Affairs. -
Investigating the transport flexibility measures for freight transportation: a fuzzy best-worst method approach
Unpredicted disruptions force organisations to ensure flexibility for fulfilling customer demand. Enabling flexibility along the transportation system is the most suitable solution for unpredictable disruptions. Flexibility, being a potential element, requires more attention to gain competitive advantages. In this study, an effort has been made to investigate different transport flexibility measures (TFMs) related to freight transportation. Initially, an extensive literature survey is performed to identify different TFMs linked with the supply chain and logistics domain. Further, an integrated fuzzy best-worst method (FBWM) has been adopted to prioritise the identified TFMs and sensitivity analysis is performed to ensure robustness of the model. The findings of the study reflect mode, fleet, vehicle and speed flexibility as the significant flexibility measures for freight transportation. This study will help practitioners, managers and decision-makers associated with freight transportation to make better decisions to ensure flexibility in the freight transportation system. Copyright 2022 Inderscience Enterprises Ltd. -
Do all shocks produce embedded herding and bubble? An empirical observation of the Indian stock market
Herding has a history of igniting large, irrational market ups and downs, usually based on a lack of fundamental support. Intuitively, most herds start with an external shock. This empirical study seeks to detect shock-induced herding and the creation of nascent bubbles in the Indian stock market. Initially, the multifractal form of the detrended fluctuation analysis was applied. Then the Reformulated Hurst exponent for the Bombay stock exchange (BSE) was determined using Kantelhardt's calibration. The investigation found evidence of high-level herding and a bubble in 2012, with a high value of Hurst Exponent (0.7349). The other years of the research period (2011, 2013, 2016, 2018, 2020-2021) observed mild to significant herding with comparatively lower Hurst values. The results confirm that herding behavior occurs during a crisis and harsh situations emitting shocks. The study concludes that shock-based herding is prevalent in all six shocks: the economic meltdown, commodities and currency devaluation, geo-political problems, the Central Bank's decision on liquidity management, and the Pandemic. Additionally, the years following the Financial Crisis and the years of the Pandemic are when herding and bubble are prominent. Tabassum Khan, Suresh G., 2022. -
An AHP-TOPSIS Approach for Optimizing the Mechanical Performance of Natural Fiber-Based Green Composites
Natural fibers have emerged as an effective replacement for synthetic fibers in the fabrication of green composites to be used for producing various components in automotive, aerospace, and other applications. In this proposed study, the mechanical properties of banana and coir fiber-based green composites have been optimized by using a hybrid AHP-TOPSIS approach. Corn starch along with glycerol has been used as the matrix material for fabricating the green composites. The mechanical properties such as tensile strength, flexural strength, and impact strength of the developed green composite have been optimized with a focus on the utilization of this composite in automotive and aerospace applications. Three different weight percentages (0%, 5%, and 10%) of banana and coir fibers was considered for the fabrication of green composites. The constituents of the green composite have been taken as the input variables whereas the mechanical properties of the green composite are considered as the output variables for designing the experiment. The design of the experiment consisted of nine different combinations of input and output variables. Results of the study revealed that 5 wt.% of banana fiber, 10 wt.% of coir fiber, and 85 wt.% of corn starch provide the optimum mechanical performance of the developed green composites. 2022 A. N. Shankar et al. -
Cryptographic key distribution using artificial intelligence for data security and location privacy in VANET
Location privacy & data security in VANET are now becoming most important in todays paradigm of information age. Unauthorized access to location information of vehicles may pose a significant security threat, thus it is necessary to secure this information from intruders. In proposed work, Artificial intelligence based RF range approximation is used with multi key controlled cryptography for enhancement of location privacy and data security in service location protocol of VANETS. 2022 Taru Publications. -
Educational Perspective & Antecedental Outcomes of Green HRM for Employees Sustainable Behaviour
It is necessary to equip employees with green abilities and develop their dedication towards sustainable behaviour to improve an organizations sustainable performance. The objective of this study is to assess the direct effects of green human resource management on employees' sustainable behaviour (ESB) and the mediating role of employees' educational perspectives (EPE). The study is based on responses from 320 IT sector employees in India. The findings suggest that green HRM has a significant positive impact on employees' sustainable behaviour (ESB) and that the impact is strengthened by the education perspective of employees (EPE). The findings are significant, given the growing importance of sustainability in the organizational context 2022, Journal for ReAttach Therapy and Developmental Diversities.All Rights Reserved. -
Changing customer mindset in adopting digital financial services during the COVID-19 pandemic: Evidence from India
Digital Financial Services (DFS) have been growing steadily all over the world. The COVID-19 crisis has reinforced the need for DFS. This study aims to examine the growth of DFS in the global and Indian markets and to analyze the factors that change the mindsets and attitudes of adults towards the adoption of DFS during the pandemic. The growth of DFS is analyzed using secondary data. The changing customer mindset is studied and analyzed through primary data collected by a survey approach. The unit of analysis includes adults who use or prefer to use DFS. A total of 384 respondents, determined by Krejcie and Morgan formula, were personally interviewed. 384 is taken as sample size as this sample size avoids type II errors in the data analysis. The collected data were processed in SPSS21 software. The study results found that technological benefits (67.9%) have the most significant positive effect on changing people's mindsets and attitudes towards DFS followed by the pandemic forces (50.7%). Peer influences (33.2%) and perceived trust (38.3%) have also affected the change in mindsets and attitudes of adults regarding DFS. But the change in mindset is significantly and positively influenced by perceived risk (50.1%) rather than affecting negatively. So, the factors are confirmed again. The factors that drive changes in mindsets and attitudes of adults towards the adoption of DFS are Pandemic Forces & Convenience, Perceived Safety and Security, User Benefits and Experiences, Peer Influences, and Perceived Trust during the pandemic. Ravikumar T, Rajesh R, Krishna T A, Haresh R, Arjun B S, 2022. -
PANDEMIC-INDUCED CRISES IN TOURISM AND HOSPITALITY AN INDIAN CONTEXT
This paper aims to examine the pandemic-induced crises psychological and physical distress experienced by the employees during the Covid19 pandemic and the implications on job loss and job characteristics from all domains of the hospitality industry in India. The study is designed to explore the pandemic-induced tourism crisis along with emotional, mental, and physical effects. An in-depth qualitative exploration was used and a tool comprising of data sets include representatives from aviation, resorts and hotel segments, tour operators, and travel agents. The researchers used a semi-structured questionnaire that had two sections and explored industry concerns, HR strategies, and employee distress through a multi-stage process involving coding and content analysis. The study analyzed the pandemic-induced crises at the micro and macro levels and grouped them under three essential dimensions such as; organizational and industry concerns, organizational HR policies, and employees psychological distress. The subthemes under these dimensions can contribute to scale validation. The subthemes grouped under the three major dimensions have come out as a theoretical model of how the pandemic has affected professionals at these three levels. The findings as items can be validated through descriptive research in quantitative terms forming the future scope. The study analyzed the perceptions of professionals in the tourism and hospitality business amid the pandemic and concludes that a proactive HR policy can minimize employees psychological distress. 2022 Editura Universitatii din Oradea. All rights reserved. -
Experimental Investigation on Density and Volume Fraction of Void, and Mechanical Characteristics of Areca Nut Leaf Sheath Fiber-Reinforced Polymer Composites
Natural fiber-reinforced polymer composite is a rapidly growing topic of research due to the simplicity of obtaining composites that is biodegradable and environmentally friendly. The resulting composites have mechanical properties comparable to synthetic fiber-reinforced composites. In this regard, the present work is formulated with the objectives related to the development, characterization, and optimization of the wt% of reinforcements and the process parameters. The novelty of this work is related to the identification and standardization of the appropriate wt% of reinforcements and parameters for the processing of the areca nut leaf sheath fiber-based polymer composites for enhanced performance attributes. With this basic purview and scope, the composites are synthesized using the hand layup process, and the composite samples of various fiber compositions (20%, 30%, 40%, and 50%) are fabricated. The mechanical characteristics of biodegradable polymer composites reinforced with areca nut leaf sheath fibers are investigated in the present work, with a focus on the effect of fiber composition (tensile properties, flexural strength, and impact strength). The properties of composites are enhanced by combining the areca nut leaf sheath fiber and epoxy resin, with a fiber content of 50% being the optimal wt%. The Scanning electron microscopy (SEM) investigations also ascertain this by depicting the good interfacial adhesion between the areca nut leaf sheath fiber and the epoxy resin. The tensile strength of the composite specimen reinforced with 50% areca nut fiber increases to 44.6 MPa, while the young's modulus increases to 1900 MPa, flexural strength increases to 64.8 MPa, the flexural modulus increases to 37.9 GPa, and impact strength increases to 34.1 k J/m2. As a result, the combination of areca nut leaf sheath fiber reinforced epoxy resin shows considerable potential as a renewable and biodegradable polymer composite. Furthermore, areca nut leaf sheath fiber-reinforced epoxy resin composites are likely to replace petroleum-based polymers in the future. The ecosustainability and biodegradability of the composite specimen alongside the improved mechanical characteristics serve as the major highlight of the present work, and can help the polymer composite industry to further augment the synthetic matrix and fiber-based composites with the natural fiber-reinforced composites. 2022 B. A. Praveena et al. -
A FAMILY OF CONGRUENCES FOR (2, ?)?REGULAR BIPARTITIONS
The congruence of certain restricted partition functions known as regular bipartition is discussed in this paper. We particularly investigate the (2, ?)-regular bipartitions of n, denoted by B2,? (n), and establish certain congruences for B2,? (n) when ? ? 3. We derive infinite families of congruences modulo 4 for the (2, 3)-regular bipartition. We also obtain a generalisation of the regular bipartition for modulo p and p2. Indian Mathematical Society, 2022. -
Are there bubbles in sectoral indices? Evidence from national stock exchange
Trading at prices above their fundamental values has been referred to as stock market Bubbles. These Bubbles, when Busted, can lead to a market Crash. From experience, it is a well-known fact that Bubbles initially occur in one particular sector and later spread to the aggregate markets, leading to the collapse of the entire market. This paper attempts to test the existence of bubbles in Indian Sectoral Indices. Previous studies have proven that sectoral indices do not mimic the market behaviour and the reaction of the sectors tends to be different compared to the markets response. In that context, the paper aims to explore the existence of bubbles sector-wise rather than aggregate market-wise. The presence of bubbles is confirmed through the Superior and flawless method called the GSADF test is more flexible and reliable than RADF (Rolling Augmented Dickey-Fuller) and Supremum Augmented DickeyFuller (SADF) methods. Findings reveal that not all sectors experience bubbles at the same time. During the study period, the Automobile, financial services, Media and Private sector banking sectors experienced bubbles. Detected bubbles were also found at different times in these sectors. The study helps investors who focus investments in a specific sector to capitalise on price movements once they can time-stamp the occurrence of bubbles. The study provides essential input for investors in taking timely investment decisions. Further results of our study could enable policymakers to instil corrective actions to put the markets back on track when the index falsely deviates from intrinsic values. 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Women's Empowerment, Mindfulness, and Role of Women in Eradicating Alcohol and Drug Addiction from Indian Society
Womens empowerment and self-help groups are functional and successful in India in most instances; it is possible to improve them further by incorporating quality parameters in the various training programs. Most of the locally organized skill-training by different empowerment cells operates effectively. Training and operating procedures must be devised to ensure that self-help groups meet international standards for their products. The training is often held in remote locations, making it difficult for the facilitator to visit and provide instruction. There must be established criteria for selecting trainers and a planned curriculum for training. There is a social impediment in the overall empowerment process; one of the social evils is drug and alcohol addiction and specific cultural and societal norms. Women can help to curtail such societal problems, and the Naga Mothers Association has made an impact in reducing addiction in Indian society. The Naga Mothers Association is doing an excellent job of reducing addiction; however, their work needs to be supported by legislative provisions. Similar to the Naga Mothers Association, the womens wing of the Koch Rajbongshi student union has been able to mobilize and disseminate information about the ill effects of addiction among its community members. This paper argues that mindfulness, a concept of Buddhist origin, is necessary to effect revolutionary change. Mindfulness and compassion are the keys to resolving the issue, but reflection is also an essential component of the practice of mindfulness and compassion. The leaders of these womens associations are playing a pivotal role in helping to eradicate social evils and addiction from Indian society. One of the most critical components is mindfulness of the current situation and circumstances and making decisions accordingly. 2022,Journal of International Women''s Studies. All Rights Reserved. -
Influence of SERPINA1 Gene Polymorphisms on Anemia and Chronic Obstructive Pulmonary Disease
Background. Anemia is one of the predominant hematological conditions, whereas chronic obstructive pulmonary disease (COPD) is a predominant respiratory disease. These two diseases were found to be interlinked, but the physiological pathways are still unclear. Aim. The current study has been aimed at analysing the genetic interrelationship between anemia and COPD in accordance with different altitudes. Methodology. The genetic analysis was performed in the SERPINA1 gene of anemia, COPD, and healthy individuals for the analysis of single nucleotide polymorphism at rs28949274 and rs17580 locations. Result and Discussion. The single nucleotide polymorphism at the locations rs28949274 and rs17580 was present in both anemic and COPD patients. The COPD patients were more prone to mutations (63% had rs28949274, and 11% had rs17580 polymorphisms) than the anemic patients (40% had rs28949274, and 1% had rs17580 polymorphisms). On the basis of altitude, high-altitude individuals were found to be more susceptible to both the polymorphisms. Conclusion. Based on the current findings, we suggest that the SERPINA1 gene has a positive correlation with anemia as well as COPD, and the increase in altitude also influences the diseased conditions in a positive manner. 2022, SAGE Publications Ltd. All rights reserved. -
Flexible and cost-effective cryptographic encryption algorithm for securing unencrypted database files at rest and in transit
To prevent unauthorized access to the databases and to ensure that the data of the databases is protected from intruders and insiders, the data is being encrypted at the storage locations. The same goal is achieved with Transparent Data Encryption, a feature that can be found in almost all database products. However, it has been observed that the non-datafiles are being ignored and there is no standard encryption for them like there is for datafiles. Moreover, there was no standard algorithm to encrypt them without relying on third-party tools. Therefore, This study provides a robust algorithm to perform the encryption. This presentation also describes the importance of non-datafiles encryption, and how some non-datafiles can pose a threat to data and infrastructure without encryption. The practical implementation of the non-data file encryption algorithm shows the authentic results. Further, unlike existing algorithms, the proposed algorithm gives the file owner full control over the encryption logic. In the encryption process, two levels of encryption logics are combined with a passcode lock, while the same combination of two levels of reversing encryption and passcode is used in the decryption process to convert encoded data back into text format. 2022 The Author(s) -
A Malicious Botnet Traffic Detection Using Machine Learning
Detection of incorrect and malign data transfers in the Internet of Things (IoT) network is important for IoT safety to observe an eye on and prevent unwelcomed traffic flow to the network of IoT. For it, Machine Learning (ML) strategic methods are produced by several researchers to prevent malign data flows through the network of IoT. Nonetheless, because of the wrong choice of feature, a few malign Machine Learning models differentiate especially the movement of malign traffic. Still, what matters is the problem that needs to be deliberated in-depth to select the best features for better malign traffic acquisition in the network of IoT. Dealing with the challenge, a new process was proposed. 1st, the metric method of selecting a novel feature called the proposed CorrAUC, and hinged on CorrAUC, a new highlight for choosing the Corrauc algorithm name is also being developed, designed hinged on the system folding filter features precisely and select the active features of the choose ML method using AUC metric. After that, we apply a combined application Order of Preference by Similarity to Ideal Solution Using Shannon Entropy (TOPSIS) built on a bijective set which is soft to verify selected features for identification of malign 1traffic in IoT network. We test our method using data set of Bot-IoT and 4 dissimilar ML classifiers. Practical outcomeanalysis showed that our proposed approach works as well and can achieve greater than 96% results on average. 2022 Wolters Kluwer Medknow Publications. All rights reserved. -
A sustainable approach for fish waste valorization through polyhydroxyalkanoate production by Bacillus megaterium NCDC0679 and its optimization studies
Polyhydroxyalkanoates (PHAs) are considered as the only class of truly biodegradable and biocompatible polymers. Although extensive research has been carried out in producing them from a wide variety of organisms, their commercialization still faces hurdles majorly associated with the cost of production media. This research work exploits the use of discarded fish scale waste as a major media component for biopolymer production. The major novelty of the research work is the utilization of a Bacillus megaterium NCDC0679 for PHA production using fish scale waste that is not reported previously. Furthermore, a sequential and systematic statistical optimization strategy employing response surface methodology was used to trace out the level of the most significant variables and their interaction effects on PHA production add to the significant novelty of this work. The significance of the model developed was determined from the p values of ANOVA. Under optimized levels of glucose (50g/L), NaCl (0.125g/L), and fish scale hydrolysate concentration (62.5% v/v), maximum PHA yield of 6.33g/L was achieved in the shake flask culture system. This was found to be 5.50-fold higher than the unoptimized medium. The ANOVA results established the significance of the model (p < 0.05). The extracted polymer was characterized through Fourier-transform infrared (FTIR), nuclear magnetic resonance (NMR), X-ray diffraction (XRD), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA). Thus, the present investigation suggests an innovative method for valorization of fish scale waste for commercial production of PHA. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Seasonal Variation of Physicochemical Parameters and Their Impact on the Algal Flora of Chimmony Wildlife Sanctuary
Background and Objective: The lack of biodiversity knowledge and biodiversity loss are the two inevitable truths around us. Algae are the most crucial organism in our entire biodiversity. The seasonal variation of algal diversity can monitor the environmental changes of the freshwater ecosystem. The present study was conducted because the seasonal changes of algal diversity in Chimmony Wildlife Sanctuary were utterly unknown. Materials and Methods: The algal samples were collected and preserved from ten stations for three seasons (pre-monsoon, monsoon, post-monsoon). The physicochemical parameters of water like temperature, pH, total dissolved solids, total dissolved oxygen, total alkalinity and light intensity of the sampling stations were recorded. Results: The study revealed that the seasonal variation of physicochemical parameters provoked a change in the diversity of Algae. The Chimmony Wildlife Sanctuary has its highest algal diversity during pre-monsoon season. The Chlorophyceae Algae were dominant during the pre-monsoon season, while the Cyanophycean Algae were dominant during monsoon season. The ANOVA (two-way) analysis showed no significant difference between stations and there is a considerable difference between seasons for dissolved oxygen, alkalinity, temperature and total dissolved solids. While for pH, it showed no significant difference between seasons and stations but for light intensity, it showed a substantial difference between stations and seasons. A negative correlation was observed between algal species and seasons. The temperature and dissolved oxygen showed a negative correlation. Conclusion: The physicochemical parameters were changed according to the seasonal variation. Since Algae act as a biological pollution indicator for all the water resources, the study of algal flora according to the seasonal variation is crucial. 2022 Joel Jose and Jobi Xavier. -
Sustainable Computing: A Determinant of Industry 4.0 for Sustainable Information Society
Rapid advancement in technology and continuous environmental degradation have attracted the attention of practitioners toward sustainable solutions. This study intends to promote Industry 4.0 information society research by comprehending sustainable ICT adoption in businesses to promote sustainable information society (SIS). Further, it extends the theory of planned behavior model and deploys a quantitative research approach. The findings from PLS-SEM confirm the perceived environmental responsibility (PER), a precursor for attitude (ATT), perceived behavioural control (PBC), and subjective norm (SN). Further, there is a significant positive influence of ATT, PBC, and SN on the adoption intention of sustainable ICT practices followed by the effect of adoption intention on sustainable information society (SIS). This study bridges the literature gap through a novel attitude behavior gap model and provides a possible understanding of how businesses might contribute to the creation of sustainable development and information society. 2022 Nishant Kumar et al.