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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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
The Influence of Cartoons Soundscape Irrelevant Sound Effects on young children's Auditory Processing and Working memory skills
Background: Irrelevant sound or speech effect (ISE) affects an individual's serial recall task of visual and auditory presentations. Cartoon soundscape mimics irrelevant sound effect hypothesis. A constant and repeated exposure to cartoons in early childhood should influence children's auditory learning or recall performance. Purpose: To investigate the effects of cartoons' soundscape irrelevant sound effects on young children's auditory processing and working memory skills. Research Design: A cross-sectional study was used to observe the influence of the cartoon soundscape irrelevant sound effects on children. Study sample: Sixty young children with normal hearing in the age range 5-6years were exposed to cartoons (Indian plus Non-Indian) considered for the study. Data Collection and analysis: Pitch Pattern Test (PPT), Duration Pattern Test (DPT), and Corsi-Block working memory apparatus were applied to the participants exposed to cartoons. The data obtained were compared statistically in terms of the groups' performances. Results: There was a significant difference in PPT (p=.023) and DPT (p=.001) between the cartoon exposed and non-exposed groups. In contrast, there was no significant difference between the two groups in Corsi-Block working memory(p>0.05). Conclusion: Cartoon soundscape irrelevant sound or speech affects young children's auditory processing skills. The visual-spatial recall follows a different developmental pattern in young children without recoding to phonological aspects. It is predicted that our study findings might help determine the ill effects of cartoons on the auditory and language development process. 2022 American Academy of Audiology. All rights reserved. -
A Scoping Review of Formal Care to Children with Special Needs during the Covid-19 Pandemic
The Covid-19 pandemic caused an unprecedented closure of direct service for children with special needs (CSNs), which shifted service to remote mode. This scoping review analyzed the strategies adopted by different formal care services for CSNs, their strengths and weaknesses, and the challenges faced by the formal care providers (FCPs). This study identified relevant articles through academic databases and Google searches using appropriate search strings and keywords. It included ten journal articles (n=10) and eight pieces (n=8) of grey literature through a meticulous selection process and extracted data. This review drew results by collating the descriptive numerical data analysis and qualitative thematic analysis and interpreting them. Reporting incor-porated all the possible items recommended by the PRISMA-ScR guidelines. This review demonstrated that pediatric rehabilitation adopted the telehealth approach and that special education changed to remote learning. When childcare programs in the USA functioned according to specific guidelines, residential care in South Asian countries faced a financial crunch. FCPs faced personal and professional challenges that required systematic training to deal with pandemic situations. This scoping review made suggestions for relevant policy formulations for equitable and effective service delivery to CSNs during pandemic situations, and it exposed new avenues for research. 2022 Authors. -
A closer look at industry-associated value premium: evidence from India
This paper examines whether the academic literature-promised value premium has any industry association in the Indian equity market and the relationship between stock returns, value, and size within and across industries. We examine all listed firms trading at BSE India between 1999-2020, using CAPM and Fama-French three-factor models on each firm-levels and industry-level portfolio. The positive and significant value effect was found to exist in 17 out of 21 industry groups. Both industry and firm-level value effects are identified; however, the firm-level effect seems more prominent. Furthermore, the value effect is most substantial in small-cap value stocks of value- and growth-oriented industries, large-cap value stocks of value-oriented industry groups, then small-cap growth stocks of value- and growth-oriented industries and large-cap growth stocks of value- and growth-oriented industries. We also show evidence confirming the claim that value premium results from investors challenging higher returns from firms and industries operating in higher risk and distressing constraints. Copyright 2022 Inderscience Enterprises Ltd. -
Classification of Silicon (Si) Wafer Material Defects in Semiconductor Choosers using a Deep Learning ShuffleNet-v2-CNN Model
The silicon wafer is one of the raw materials used to make semiconductor chipsets. Semiconductor failure or dysfunction could be the result of defects in the layers of this material. As a result, it is essential to work toward the development of a system that is both quick and precise in identifying and classifying wafer defects. Wafer map analysis is necessary for the quality control and analysis of the semiconductor manufacturing process. There are some failure patterns that can be displayed by wafer maps. These patterns can provide essential details that can assist engineers in determining the reason of wafer failures. In this research, a deep-learning-based silicon wafer defect identification and classification model is proposed. The main objective of this research is to identify and classify the silicon wafer defects using the wafer map images. This proposed model identifies and classifies the defects based on the wafer map images from the WM-811K dataset. The proposed model is composed of a pretrained deep transfer learning model called ShuffleNet-v2 with convolutional neural network (CNN) architecture. This ShuffleNet-v2-CNN performs the defects identification and classification process following the workflow of data preprocessing, data augmentation, feature extraction, and classification. For performance evaluation, the proposed ShuffleNet-v2-CNN is evaluated with performance metrics like accuracy, recall, precision, and f1-score. The proposed model has obtained an overall accuracy of 96.93%, 95.40% precision, 96.26% recall, and 95.75% F1-score in classifying the silicon wafer defects based on the wafer map images. 2022 Rajesh Doss et al. -
Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network
Social and information networks undermine the real relationship between the individuals (ego) and the friends (alters) they are connected with on social media. The structure of individual network is highlighted by the ego network. Egocentric approach is popular due to its focus on individuals, groups, or communities. Size, structure, and composition directly impact the ego networks. Moreover, analysis includes strength of ego alter ties degree and strength of ties. Degree gives the first overview of network. Social support in the network is explored with the gap between the degree and average strength. These outcomes firmly propose that, regardless of whether the approaches to convey and to keep up social connections are evolving because of the dispersion of online social networks, the way individuals sort out their social connections appears to remain unaltered. As online social networks evolve, they help in receiving more diverse information. 2022 IGI Global. All rights reserved.