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The three articles were originally presented as papers on a panel organized by Robert Latham, at the Socialist Studies Conference at York University in 2023. While more or less focused on Marxism in academia, the articles deal with different regional contexts: Hyun Ok Park deals with South Korea, Robert Latham with the US, and Raju Das with India. [ABSTRACT FROM AUTHOR]

Background: No analysis of redundant or duplicate publications, deemed unethical and unscientific, has been undertaken in psychiatric literature. Aim: To analyze the proportion and patterns of redundant publications associated with index articles published in two major Indian psychiatry journals. Methods: Index articles were original papers published in the Indian Journal of Psychiatry and the Indian Journal of Psychological Medicine between 2015 and 2017. Using a systematic search strategy that combined author names and article keywords, we combed the literature to identify and characterize redundant publications related to these index articles. Redundant publications were classified into one of the following categories using a priori definitions: dual, suspected dual, salami slicing, meat extender, and extended sample publication. Results: From 324 index articles screened, a total of 27 articles (8.4%) were identified to have 32 associated redundant publications of the following types: dual (n = 3), suspected dual (n = 2), salami slicing (n = 22), meat extender (n = 3), and extended sample publication (n = 2). A majority of the redundant articles (n = 23, 71.9%) failed to clearly cross-reference the prior publication(s). We also identified nine non-redundant but related publications with no proper cross-referencing in five of them. Conclusion: Redundant publications are a common practice in the psychiatry journals screened. Salami slicing is the most common form of redundancy, with no proper cross-referencing in most cases. Concerted efforts are needed to detect and deal with this concerning practice that undermines both science and ethics. [ABSTRACT FROM AUTHOR]

This study explores the feasibility of utilizing Waste Brick Powder (WBP) and fly ash as substitutes for cement in concrete, addressing growing environmental concerns and waste accumulation from demolition activities in India. The partial replacements of cement with 10%, 15%, and 12.5% fly ash, alongside 10%, 15%, and 12.5% WBP in M25-grade concrete, are investigated over a 7-day curing period. The compressive strength is evaluated as the primary parameter, while specific gravity tests are conducted to analyze material properties. The study aims to assess the sustainability and cost-effectiveness of incorporating fly ash and WBP in concrete production. The results reveal the influence of varying fly ash and WBP proportions on concrete strength, with the optimized mix of 12.5% fly ash and 12.5% waste brick powder demonstrating superior strength properties compared to conventional concrete. This blend demonstrates practical feasibility and potential for widespread adoption in construction applications. This study underscores the sustainable utilization of industrial by-products, aligning with eco-conscious construction practices and contributing to reduced carbon emissions. This paper provides insights for the construction industry in India, offering a solution to waste management challenges while enhancing the sustainability and cost-effectiveness of concrete production. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to gain insight into managers' perspectives on the concept and practice of workers' participation in management (WPM) in Indian organizations. WPM is a critical ingredient in organizational effectiveness. However, the most fundamental aspects of WPM, such as the attitudes, expectations of managers and the factors facilitating or hindering the participation process, are less explored. This paper attempts to answer those questions concerning WPM in the context of Indian organizations. Design/methodology/approach: The study uses data from 138 managers of Indian public and private sector organizations. Data were collected through an online survey as well as through semi-structured interviews. The study explores potential benefits, roadblocks and supporters from the managers' perspective. Further, to test the hypothesis, the author used multiple regression analysis. Findings: The paper demonstrates managers' perception of workers' participation at the board level as the most beneficial and supportive compared to joint consultation and joint decision-making; however, at the same time, it is the one having the most roadblocks in the present Indian Labour laws. Workers, unions and managers' lack of legislative support and intention fuel the fire. The study also found that implementation of WPM is primarily based on statutory norms, and public sector managers are more willing to take the workers on board than managers of private sector organizations. Practical implications: This research is of practical significance as it extracts new visions for policymakers in India already planning to implement four new labor codes, namely, wages, industrial relations, social security and occupational safety, health and working conditions. The data from the study will facilitate the Indian labor ministry to lay down policy decisions concerning WPM. Further, the government can acclimatize this analysis to plug the ambiguities in the present WPM system. Originality/value: To the best of the author's knowledge, this is the first study to give insights into the manager's perspective regarding the WPM using a scenario-based approach. In addition, this paper offers valuable suggestions for policymakers to restructure and streamline the country's existing and overlapping labor laws. [ABSTRACT FROM AUTHOR]

Tropospheric systems are widely used by military forces as they provide long-distance, real-time communication. Slow-fading propagation loss reduces link availability and limits its data-carrying capacity. Beam pointing dynamics provides knowledge of favorable heights at different times of the day in different seasons and a useful steering range. Beam steering, based on the beam pointing dynamics of the link, can overcome slow fading. The main contributions of this paper are the derivation of a realistic and accurate tropospheric channel model obtained by making important modifications to Dinc's ray-based model. This paper also presents a method for determining beam pointing dynamics using the modified model. Beam pointing dynamics for two different links located in India have been determined in this paper using real-world data obtained from the Indian Meteorological Department. Another significant contribution of the paper is presenting the prospect of dual data streaming on tropospheric links using a fixed beam and a dynamically steered beam, based on the examination of beam pointing dynamics obtained for the two links. The main result presented in this paper is the comparison of powers received from the most favorable heights in a steerable beam system with the powers received in conventional fixed-beam systems for different days of the year. It has been shown that a higher received power can be achieved with beam steering. Another important result shown is the comparison of the achievable data rates for a single fixed-beam system and a dual-beam (one fixed beam and one dynamically steered beam) system. It has been shown that almost double the data rate is achievable in a dual-beam system. The method for the determination of beam pointing dynamics and the possibility of dual data streaming presented in this paper can significantly enhance the availability and capacity of tropospheric links. [ABSTRACT FROM AUTHOR]

Elections are a critical aspect of democratic governance, providing citizens with the power and right to express their views. A secure voting system with innovative features can improve this process. Blockchain technology is considered a disruptive innovation, and its potential for enhancing the evoting system is significant. The modern voting system is focusing more on blockchain technology to strengthen and secure the process. Blockchain is a reliable, decentralized database that can offer increased security compared to electronic voting machines (EVMs). This research paper presents a detailed study of the design, smart contracts, evaluation of action, and survey on the acceptance of blockchain-based e-voting systems. It examines the requirements for such a system and provides an understanding of the model. As the acceptance of information technology-based services and products increases, future innovation in the e-voting system may depend on blockchain technology. The survey conducted in this paper explores the differences in opinion based on gender, age, and profession among eligible voters from India regarding the acceptance of blockchain technology-based secure e-voting systems. The analysis of these differences sheds light on the potential for blockchain-based e-voting systems to enhance trust and security in the voting process. [ABSTRACT FROM AUTHOR]

Forecasting of load is essential for operating power systems. India recently witnessed one of the worst power crisis with the highest ever power demand of 207 GW on April 29, 2022. The demand in the month of May and June 2022 was estimated to reach 215 GW. The peak demand this year 2023, according to the electricity ministry, is predicted to be around 230 GW from April to June. The inability to meet certain fundamental issues as power can take a toll on any country's economy. Proper prediction helps in proper decision making and planning. The main objective of this paper is to predict day ahead electrical load demand for Assam. Statistical and Machine Learning Algorithms has been studied. The study has been carried out using real-time data for the years 2016, 2017 and 2018. The paper presents a detailed analysis of the different hyper parameters of the deep learning models and their effect is seen on the learning efficiency. A novel stacked forecasting model is proposed using neural networks as base learners and CatBoost as the meta-learner. The performance of the proposed model has been evaluated and compared with individual models in terms of training time and accuracy using different error metrics namely MAE, MSE, RMSE, MAPE and R2 score. A comparison of the proposed prediction model with the prediction models available in literature has been presented. The conclusion states that both the statistical and machine learning algorithms used in this study act as useful tools for daily load forecasting with considerable accuracy; yet machine learning algorithm outperforms the statistical methods. The entire work has been done in Google Colaboratory using Python as the programming language. [ABSTRACT FROM AUTHOR]

The scholarship and discussion on urbanization and urbanism are restricted to the exploration of a few metropolitans and global cities. In this way, especially in India, several cities and towns do not fit into the understanding of knowledge produced from metropolitan or large cities. Taking the case of Dharamshala a small town in the Western Himalayas, this paper discusses how debate and conceptualization of urban processes, level of urbanization and scale of economies bypass thousands of small towns not only in India but across the global South. The paper draws attention to the categorization of the urban into small and big, metropolitan and non-metropolitan, unable to provide a comprehensive theory or concept to conceptualize activities and processes that coexist in binaries. Employing an ethnographic approach it discusses the ambiguous statistical criteria, infrastructural facilities, social and cultural dynamics, informality and illegality of Dharamshala. Building on this, the paper asserts that small towns and big cities have a lot of similarities in processes and activities, they may be different from each other at the level of size and scale. Drawing any kind of hierarchy among cities and towns that have the foundation in size (population and geographical) and scale (economies) and positioning them in 'subaltern' positions does not produce a comprehensive framework nor contribute to Southern urban theory but position small towns in between position of metropolitan's cities and urban theories. Noting such debates and discussions, the contribution opens a fresh perspective to study small towns beyond their size and scale and focuses on the processes and activities that contribute to an understanding of Indian urban transition, thereby expanding Southern urban theories. [ABSTRACT FROM AUTHOR]

Till now, studies have determined the existence of process innovation using survey data; however, in this paper, we use secondary data to empirically establish its presence in low-tech industries. Our empirical approach consists of data envelopement analysis in the first step followed by regression analysis in the second step. We use a cross-sectional dataset, i.e., Annual Survey of Industries, 2017–2018 for our study. Our results suggest that among Indian low-tech firms, investment in computer equipment and software is the most popular strategy to trigger process innovation followed by investment in plant and machinery. We find that these factors have a greater impact on firms that export products and import inputs, than on firms that export products but do not import inputs. In other words, the export-import orientation of firms induces a differential impact of these factors on process innovation. One policy implication from the study is that government should encourage and incentivize low-tech firms to improve the capabilities of its labour force. This is the first paper in the Indian context that uses secondary data to empirically determine the existence of process innovation in low-tech industries. [ABSTRACT FROM AUTHOR]

Gross Domestic Product (GDP) is significant for measuring the strength of national and global economies in urban profiling areas. GDP is significant because it provides information on the size and performance of an economy. The real GDP growth rate is frequently used to indicate the economy's health. This paper proposes a new model called Pearson Correlation-Long Short-Term Memory-Recurrent Neural Network (PC-LSTM-RNN) for predicting GDP in urban profiling areas. Pearson correlation is used to select the important features strongly correlated with the target feature. This study employs two separate datasets, denoted as Dataset A and Dataset B. Dataset A comprises 227 instances and 20 features, with 70% utilized for training and 30% for testing purposes. On the other hand, Dataset B consists of 61 instances and 4 features, encompassing historical GDP growth data for India from 1961 to 2021. To enhance GDP prediction performance, we implement a parameter transfer approach, fine-tuning the parameters learned from Dataset A on Dataset B. Moreover, in this study, a preprocessing stage that includes median imputation and data normalization is performed. Mean Square Error, Mean Absolute Error, Root Mean Square Error, Mean Absolute Percentage Error, Median Absolute Error, and determination coefficient (R2) evaluation metrics are utilized in this study to demonstrate the performance of the proposed model. The experimental results demonstrated that the proposed model gave better results than other regression models used in this study. Also, the results show that the proposed model achieved the highest results for R2, with 99.99%. This paper addresses a critical research gap in the domain of GDP prediction through artificial intelligence (AI) algorithms. While acknowledging the widespread application of such algorithms in forecasting GDP, the proposed model introduces distinctive advantages over existing approaches. Using PC-LSTM-RNN which achieves high R2 with minimum error rates. [ABSTRACT FROM AUTHOR]

The objective of paper is to study a deep learning strategy for recognizing Indian Sign Language (ISL) using convolutional neural networks CNN. Sign language recognition has become a crucial tool for enhancing communication and accessibility for the deaf in India. ISL is a visual-gestural language used by the deaf population in India, and it is a visual-gestural language used by the deaf community in India. Gesture based communication Application is a characteristic language that involves various methods for articulation for correspondence in day-to-day existence. This paper presents a Programmed interpretation framework for token of manual letters in order in English communication via gestures. It manages pictures of uncovered hands, which permits the client to cooperate with the framework in a characteristic manner. In proposed system a deep learning model using CNN with ISL (Indian Sign Language) Dataset is used. The model consists of preprocessing the dataset to extract features from the image, then train a CNN to recognize the signs and gestures with audio. Experimental results show that the proposed approach is capable of achieving accuracy in recognizing ISL signs and gestures with accuracy of 0.868, recall 0.856, precision 0.863, and F-score is 0.884 respectively. [ABSTRACT FROM AUTHOR]

Itraconazole (ITZ) has been the mainstay of oral antifungal treatment for the current epidemic of recalcitrant dermatophytosis (RD) in India. Recently, a newer formulation of ITZ, super bioavailable itraconazole (SUBA-ITZ), is made available in the market by many pharmaceutical companies. It is important for dermatologists to understand the pharmacokinetic properties of SUBA-ITZ vis-a-vis conventional pellet formulation to use it effectively and safely. Indian Association of Dermatologists, Venereologists and Leprologists (IADVL) has established a special interest group for recalcitrant dermatophytosis (SIG-RD) to strengthen research, continuing medical education, and industry collaboration on the subject. This position statement on SUBA-ITZ by SIG-RD is an attempt to address current pieces of evidence and the position of this new formulation in the management of RD. [ABSTRACT FROM AUTHOR]

Covid 19 brought to light the importance to personal and environmental hygiene and hence masks came into usage. Personal hygiene and community hygiene are an integral part of health and needs to be a priority for all. Throughout the Indian History and culture, we find importance given to the same. This paper tries to look into the historical understanding of hygiene and materials used for cleansing. Literature review and understanding of hygiene in the present day have been used to analysis and frame this paper. Through this paper the author shall conclude that no matter how much did the society change over a period of time in history, it still stressed upon the cleansing agent and cleanliness. [ABSTRACT FROM AUTHOR]

Purpose: Reference voltage or current generators are an important requirement for an analog or digital circuit design. Bandgap reference circuits (BGR) are most common way of generating the reference voltage. This paper aims to provide a detailed insight of design of a folded cascode operational amplifier (FC op amp) and a BGR circuit. The complete study flow from design to layout of the circuits on 180 nm semiconductor laboratory (SCL) process leading to bonding diagram for possible tape-out is discussed. This study work has been supported by MeitY, Govt. of India, through Special Manpower Development Project Chip to System Design. Design/methodology/approach: This paper provides a detailed insight in design of a FC op amp and a BGR circuit. The complete study flow from design to layout of the two circuits on 180 nm SCL process leading to bonding diagram for possible tape-out is discussed. Section 2 shows the design of FC op amp, beta-multiplier circuit and their simulation results. Section 3 describes the comparison of design of conventional BGR and the proposed BGR with other state-of-art BGR circuits. Section 4 gives the comparison of their performance. The conclusion is given in Section 5. Findings: The post-layout simulation of FC op amp show an open-loop gain of 64.5 dB, 3-dB frequency of 5.5 KHz, unity-gain bandwidth of 8.7 MHz, slew rate of 8.4 V/µs, CMRR of 111 dB and power of 25.5µW. Among the two BGR designs, the conventional BGR generated 693 mV of reference voltage with a temperature coefficient of 16 ppm/°C the other BGR, with curvature correction generated 1.3 V of reference voltage with a temperate coefficient of 6.3 ppm/°C , both results in temperature ranging from −40°C to 125°C. The chip layout of the circuits designed on 180 nm SCL process ensures design rule check (DRC), Antenna and layout versus schematic (LVS) clean with metal fill. Research limitations/implications: Slew rate, stability analysis, power are important parameters which should be taken care while designing an op amp for a BGR. Direct current gain should be kept higher to reduce offset errors. Input common mode range is decided by the operating temperature range. A higher power supply rejection ratio will reduce BGR sensitivity to supply voltage variations. Input offset should be kept low to reduce BGR error in reference voltage. However, this paper emphasis on the flow from schematic to layout using simulation tools. As part of the study, the bonding diagram for tape-out of BGR and FC design in the given SCL frame size with seal ring is also explored, for possible tape-out. Practical implications: Reference voltage or current generators are an important requirement for an analog or digital circuit design. BGR are most common way of generating the reference voltage. This paper provides a detailed insight in design of a FC op amp and a BGR circuit. The complete study flow from design to layout of the circuits on 180 nm SCL process leading to bonding diagram for possible tape-out is discussed. The chip layout of the circuits was designed on 180 nm SCL process ensuring DRC, antenna and LVS clean with metal fill using Cadence virtuoso and Mentor Graphics Calibre simulation tools. Social implications: BGR are most common way of generating the reference voltage. This paper gives a detailed insight of a BGR design using a folded-cascode operational amplifier. The FC op amp is biased using a beta multiplier circuit and high-swing cascode current mirror circuit. The paper discuss FC circuit design flow from schematic to layout. Originality/value: FC op amp is biased using a beta multiplier circuit and high-swing cascode current mirror. The paper discusses FC design flow from schematic to layout. The circuits were designed on 180 nm SCL technology with 1.8 V of power supply. The post-layout simulation show an open-loop gain of 64.5 dB, 3 dB frequency of 5.5 KHz, unity-gain bandwidth of 8.7 MHz, slew rate of 8.4 V/µs, CMRR of 111 dB and power of 25.5 µW. BGR were designed using FC op amp. The proposed BGR generated 1.3 V of reference voltage with a temperature coefficient of 6.3 ppm/°C in the range from −40°C to 125°C in schematic simulation. [ABSTRACT FROM AUTHOR]

The labor force participation rate of women in India has decreased despite economic growth, which has limited the advancement of their rights unlike in most other countries. This paper examines the determinants of labor force participation by gender in rural and urban areas using a probit model with data from the India Human Development Survey (IHDS) for 2011–2012 to analyze the factors that restrict workforce participation. The estimation results are presented below. First, the marital status of males, both rural and urban, has a significant impact on their participation in the workforce due to family support. In contrast, females face multiple restrictions based on marital, caste and religion, demonstrating that sociocultural factors have limited their participation regardless of regional factors. Second, in rural areas, the educational years of female workers negatively affect labor participation, but the constraints of marriage are weaker than in urban areas. Women in lower castes participate more in the rural labor force, which is interpreted as a result of their livelihood in the industrial structure consisting of agriculture. On the other hand, the caste system negatively affects female participation in urban areas. Finally, these results indicate that the low-labor participation of females is the result of a complicated process influenced by various factors, including regional effects and patriarchal cultural values in India. Therefore, it is necessary to provide employment opportunities and encourage economic incentives for more women to enter the labor market spontaneously, considering regional effects in policies, in order for women to emerge as one group of social leaders. [ABSTRACT FROM AUTHOR]

Climate change is one of the most critical socio-economic and environmental problems in India. Although India's per capita emission is very low compared to other developed nations, the economic impacts are very high as millions depend on climate sensitive sectors for instance, agriculture and forestry etc. Given the above context, this paper discusses the status of climate change, its economic impacts, especially for agriculture and forestry, climate change and financial gaps and other climate policy initiatives in India. In addition, this paper also discusses the four aspects such as climate change and macro-economic impacts, distributional aspects, social cost of carbon, and finally finance and technological aspects. There arises an urgent requirement to conduct a vulnerability assessment for reducing future poverty and inequality associate to climate change in India. [ABSTRACT FROM AUTHOR]

Miniaturization of electro-mechanical sensors and actuators has benefited from an advancement in CMOS technology over the years. However, miniaturization of audio speakers has seen considerable development only in the recent times. This paper reviews the developments in micro-electro-mechanical-systems (MEMS) audio speaker research and the initial commercial products available in the market. At first glance, it appears that the relatively slow development of MEMS speakers can be attributed to the fact that the principle of actuation has remained unchanged for several decades. Unfortunately, the physics behind audible sound production holds us back from exclusively adopting miniaturized speakers—sound pressure level is directly proportional to the area of the sound radiating surface. Nevertheless, researchers are continuing to explore new avenues for designing and developing MEMS speakers, without limiting themselves to the existing actuation principles. With newly discovered materials and improving technology, the research in MEMS speakers is gaining attention and new products are emerging. A speaker design based on piezoelectric actuation or electrostatics actuation is favorable at MEMS scale. Indian research community is also contributing to advances in MEMS speakers and near-ultrasonic devices. This paper reviews the development in MEMS audio speakers in India and in the world. The tabulated review findings aim to offer readers an overview of the development of micro-speakers and to provide guidance for designing new micro-speakers. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of common empanelment of hospitals by all insurers on the quality and cost of healthcare in India. Common empanelment is a process of selecting and accrediting healthcare providers by insurance companies and government agencies to ensure high-quality and cost-effective services. The paper examines the role and challenges of the Health Network Management Organization (HNMO) in managing the empanelment process and ensuring standardization, accreditation, and regulation of empaneled hospitals. The research methodology consists of a literature review and analysis of primary and secondary sources from various international organizations. The paper identifies the challenges faced by HNMO, such as a lack of adequate resources and expertise, unclear guidelines and protocols, limited coordination and cooperation among insurers, a lack of trust and transparency among hospitals, insufficient incentives and sanctions for hospitals, and a lack of data and information systems. Despite these challenges, the paper demonstrates that HNMO plays a crucial role in ensuring standardization, accreditation, and regulation of empaneled hospitals. To address the challenges, HNMO should focus on improving its resources, expertise, guidelines, protocols, coordination, cooperation, trust, transparency, incentives, sanctions, data, and information systems. The paper concludes with policy implications and recommendations for implementing common empanelment of hospitals by all insurers in India, emphasizing the need for HNMO to address its challenges and enhance its effectiveness and efficiency in managing the empanelment process. [ABSTRACT FROM AUTHOR]

The scenario of developed and developing countries nowadays is disturbed due to modern living style which affects environment, wildlife and natural habitat. Environmental quality has become or is a subject of major concern as it is responsible for health hazard of mankind and animals. Measurements and prediction of hazardous parameters in different fields of environment is a recent research topic for safety and betterment of people as well as nature. Pollution in nature is an after-effect of civilization. To combat the damage already happened, some processes should be evolved for measurement and prediction of pollution in various fields. Researchers of all over the world are active to find out ways of predicting such hazard. In this paper, application of neural network and deep learning algorithms is chosen for air pollution and water pollution cases. The purpose of this review is to reveal how family of neural network algorithms has applied on these two pollution parameters. In this paper, importance is given on algorithm, and datasets used for air and water pollution as well as the predicted parameters have also been noted for ease of future development. One major concern of this paper is Indian context of air and water pollution research, and the research potential presents in this area using Indian dataset. Another aspect for including both air and water pollutions in one review paper is to generate an idea of artificial neural network and deep learning techniques which can be cross applicable for future purpose. [ABSTRACT FROM AUTHOR]

The National Education Policy promotes moving from the conventional content-heavy and memorization learning practice towards holistic learning/integrated learning. It imparts a creative and multidisciplinary curriculum that focuses equally on curriculum and assessment. All educational establishments assess students using written examinations, quizzes, seminars, term paper writing, and course projects. A semester typically includes 4-5 courses, and students must earn credits for these courses by scoring a good Cumulative Grade Point Average (CGPA). As course projects offer depth knowledge/holistic learning/lifelong learning of a course for the student, many courses include course projects as one of the activities in the course. If all the courses are intended to include course projects as a mandatory pedagogy, it will be difficult for students to acquire in-depth knowledge and required skills while also dealing with stress. So we are proposing an integrated learning framework by applying the theory and practices of two core courses- Software Engineering and Web Technologies to develop a web application. This integrated learning focuses on developing software development and software testing skills in computer science for undergraduate students pursuing a bachelor of engineering degree. This framework alleviated the pressure on students during placement and created job opportunities in software development. The framework consists of three important phases- The first phase includes the identification of the problem as a need for customers, writing requirements and analyzing the same. Students apply modular design principles and break down the codebase into distinct modules. This technique enhances code organization, reusability, and maintainability. The second phase focused on developing the front end by harnessing the power of Angular, a leading web framework, to craft a sleek and interactive user interface. The backend is built using Node.js, which serves as the foundation, enabling the software system to cater to highperformance server environments. These modules communicated seamlessly through well-defined APIs, facilitating the integration of various components within the application, ultimately delivering a seamless and responsive user experience. An industry expert conducted a workshop on Angular This paper was submitted for review on Sept 10, 2023. It was accepted on Nov, 15, 2023. Corresponding author: Padmashree Desai, Department, K.L.E. Technological University, Karnataka India. Address: Hubblii-580031 (e-mail: padmashri@kletech.ac.in). Copyright © YYYY JEET. and React to get hands-on experience. The third phase focused on software testing using appropriate testing tools such as Selenium, Jmeter, TestComplete and Appium to test the web application. A software testing workshop was conducted for students by industry experts to expose the students to designing test cases, test plans, and testing strategies. The hands-on experience on testing tools was provided during the workshop. Faculty reviews are conducted on each phase, and rubrics-based assessment is done on each phase. Approximately sixty teams created web-based applications for real-world scenarios. Positive aspects of the framework in feedback indicated that more than 87% of the students agreed that they could apply Software engineering principles and practices such as requirements management. modular design and testing in web applications. Also, more than 85% of students acquire skills from code-to-web design mastery by developing web applications in Angular Node.js and backend implementation. This framework helped to improve teamwork, presentation and communication skills. Confidence in software development improved to a greater extent. The design and implementation of the framework met the stated outcome of the courses. The student's academic performance improved by 10% compared to the previous year when students were not involved in the integrated project development. [ABSTRACT FROM AUTHOR]

Recent years have seen an increase in the acceptance and recognition of engineering education research (EER) on a global scale. In particular, over the past ten years, EER has increased in India. Since EER is still in its early stages in India, it is important to comprehend the various EER research methodologies so that the most appropriate ones can be used when carrying out EER-related activities. Three methodologies are used in EER: quantitative, qualitative, and mixed. This paper's goal is to provide a thorough explanation of all the steps used in qualitative research methods for EER, along with relevant examples. Qualitative research is an investigation of a research topic under consideration by collecting non-numerical data to understand perceptions, opinions, experiences or beliefs of individuals or group of individuals. In qualitative research studies, data is collected through interviews, observations, focus group discussions, studying documents, etc. Qualitative research methods are used to fundamentally gain a unique in-depth understanding of a research topic which otherwise is difficult to explore through surveys used in quantitative research. The various steps involved in a qualitative research study typically consist of (1) concentrating on your interests and choosing a research topic, (2) framing research questions to be investigated, (3) conducting a thorough literature review, (4) choosing/creating an appropriate framework to guide the study, (5) designing the research, (6) choosing the research site and research participants, (7) collecting data, (8) analyzing the collected data, (9) documenting significant findings, and (10) publishing results. Qualitative research has many benefits, including the collection of rich data, detailed evaluation of the data, an open-ended research process, the development of specific insights, etc. As a process document to direct themselves when conducting qualitative research projects, this paper will be helpful to beginning engineering education researchers. [ABSTRACT FROM AUTHOR]

Nurses play a pivotal role in the healthcare sector; we are all well acquainted with this fact amidst the pandemic. A significant yet underestimated task they usually face is snapping off the glass ampoule necks in order to draw the medicine into the syringe during the course of treating patients. This paper ascertains that most of the nurses who encountered this problem were prone to cuts and injuries on their hands due to the sharp edges and medicine spills from the glass ampoules respectively. Thus, the present study aims to address this concern by employing the principles of design thinking as a part of a first- year engineering course; design thinking for social innovation. An active engagement was initiated with the nurses affiliated to a multispecialty hospital situated in Hubballi, Karnataka, India. A keychain glass ampoule opener capable of opening ampoules of 4 different sizes was built as a prototype taking into account the prevention of wounds caused by the uneven edges of the glass ampoules. [ABSTRACT FROM AUTHOR]

Irrespective of the branch of study, practical/laboratory courses are integral parts of engineering curriculum. These courses develop the knowledge, skill and attitude of the graduates. It is thus necessary to frame the laboratory experiments, to create a student centric learning environment and to have suitable assessment methodologies to enhance the cognitive, affective and psychomotor skills of the engineering students. This paper proposes a framework of the above three from the authors' perspective for a software laboratory. The proposed framework can be extended to the laboratory/practical with suitable modifications in the Course Outcomes. Also in this paper, a methodology is proposed for converting the scales into marks and also the formula for calculating the marks under various heads (record, viva voce and experiment) is given. Rubrics are defined for the Performance Indicators (PIs) as specified in the Examination Reform Policy of AICTE for the Program Outcomes (POs defined by National Board of Accreditation (NBA), India). [ABSTRACT FROM AUTHOR]

The continuous requirement for pre-bleaching processes on kraft pulp, employing a range of compatible enzymes, aims to mitigate the pollution caused by chemical bleaching agents. In the present study, the laccase-producing bacterium Bacillus licheniformis BK-1 was isolated from the Bakreshwar hot spring in India and tested for laccase production using different lignocellulosic substrates. The isolate was found to produce maximum laccase (8.25 IU/mL) in the presence of rice bran as a substrate, followed by 5.14 IU/mL using sawdust over a 48 h period. Laccase production doubled when medium parameters were optimized using a central composite design. The bleaching of rice straw pulp was accomplished using a laccase, xylanase (previously extracted from the same bacteria), and laccase–xylanase mixture. The mix-wood kraft pulp treated with the enzyme mixture at pH 7.0 and 50 °C temperature for up to 180 min reduced the chlorine amount by 50% compared to the control. The results also revealed that the enzyme mixture improved the pulp's optical (brightness 10.39%) and physical (tear index 39.77%, burst index 22.82%, and tensile strength 14.28%) properties with 50% chlorine dose. These exceptional properties underscore the enzyme mixture's suitability for pulp pre-bleaching in paper manufacturing, offering a safer and more environmentally friendly process. [ABSTRACT FROM AUTHOR]

Purpose: Based on positive organizational scholarship, this study aims to examine the role of faculty engagement in mediating the relationship between quality of work-life (QWL) and organizational commitment. The paper also analyses how spiritual leadership moderates the relationship between QWL and faculty engagement. Design/methodology/approach: The data was collected through structured questionnaires from undergraduate and postgraduate teachers working in various business schools across major cities in India. The sample was selected through the snowball sampling technique. The sample size was 486, and analysis was done through the structural equation modelling approach using the bootstrapping method. Findings: Findings indicate that faculty engagement mediates the relationship between QWL and organizational commitment among teachers. Furthermore, results show that educational institutions that practice spiritual leadership support higher positive psychological and emotional states of engagement. Research limitations/implications: The paper provides an integrated model of engagement, commitment and QWL through a study of mediation and moderation effects and adds value to the psychology and workplace spirituality literature. There is the future scope for further generalizations of the model in different geographical contexts to analyse the influence of other leadership styles. Practical implications: Furthermore, it would help educational institutions to design QWL strategies for engaging teachers psychologically, emotionally and cognitively by accelerating employees' positive emotions and behaviours. Finally, the paper shows implications for developing the QWL strategies to create a committed and engaged workforce through spiritual leadership. Originality/value: The paper contributes to the academic literature by investigating interrelationships among variables from a positive organizational scholarship perspective. The paper would help practitioners to comprehend the importance of spiritual leadership in educational institutions. [ABSTRACT FROM AUTHOR]

The paper critically dissects the contemporary policy landscape and its ability to counter precarious work for construction workers in the Indian context. By focusing on the governance challenges faced by welfare institutions and the pre-existing fault lines exposed by the pandemic, the paper argues that social policies are languishing and inefficient to respond to the challenges of growing precarity. The paper uses Breman's conception of 'Footloose labour' to understand informality related to construction workers and Gilbert and Terrell's social policy analytical framework to understand the institutional response. The two major arguments that make the social policy languish are the inability of the policy to alter neoliberal employment relationships and the operational challenges that institutions face in implementing welfare schemes for many footloose labourers. Moreover, the situation is further exacerbated by inherent contradictions of the state which is entangled between promoting economic growth through neoliberal policies while consecutively ensuring labour welfare. If the Institutional challenges persist along with the persuasion of neoliberal reforms, footloose labour is only going to be further marginalized and pushed to limits. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to examine Nigeria's dynamic output and output volatility connectedness with USA, China and India using quarterly data from 1981Q1 to 2019Q4. Design/methodology/approach: The study adopted the network approach of Diebold and Yilmaz (2014) and used the normalized generalized forecast error variance decomposition from an underlying vector error correction model to build connectedness measures. Findings: The findings show that the global financial crisis (GFC) increased the connectedness index far more than the 2016 Nigeria economic recession. The moderate effect of the 2016 Nigeria economic recession on the connectedness index underscores the fact that Nigeria is a small, open economy with minimal capacity to spread output shock. For both real output and its volatility, the total connectedness index rose smoothly and systematically through time, thereby leaving the economies more connected in the long run. Originality/value: To the best of the authors' knowledge, this paper is among the first to examine Nigeria's dynamic output and output volatility connectedness with the USA, China and India using new empirical insights from the GFC versus 2016 Nigerian recession. The study, therefore, concludes that the Nigerian economy should be diversified immediately as a hedge against future real output shocks, while the USA, China and India should maintain and sustain their current policy frameworks to remain less vulnerable to real output shocks. [ABSTRACT FROM AUTHOR]

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Purpose: This paper seeks to add a historical perspective to the contemporary debate concerning women's entrepreneurship in India. This study aims to explore the quantitative and qualitative research map of the research field of women's entrepreneurship. Through this exploration, the authors aim to portray the historical and contemporary factors related to women's entrepreneurship development in India, the problems and the opportunities. Future research opportunities are also identified based on the keyword analysis. Design/methodology/approach: The study uses a systematic literature review to analyze the historical and theoretical perspectives of women's entrepreneurship in India. The bibliometric analysis portrays the publication landscape, including the most popular journals, authors and countries, citation analysis and keyword analysis. The content analysis reveals the thematic clusters of the research field. Findings: The content analysis of the management literature on women's entrepreneurship reveals four primary clusters from the research: contextual embeddedness in women's entrepreneurship, reasons for starting a business, microfinance interventions and empowerment of women entrepreneurs and marginalization dynamics for women entrepreneurs in India's informal sector. The study also presents implications for policymakers and a women entrepreneurs' development framework. Originality/value: To the best of the author's knowledge, this study is the first to comprehensively analyze the management literature on women's entrepreneurship in India from a historical perspective. The study combines bibliometric mapping and content analysis for a holistic presentation of the research field of women's entrepreneurship in India and future research opportunities. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to provide an objective and comprehensive evaluation of the understanding of the professional code of ethics of Indian Professional Management Accountants in Business (PMAIBs). It further delves into their individual, job and organizational characteristics as determinants of their understanding of the code. Design/methodology/approach: This study relies on data from 247 responses to a survey-based questionnaire. Overall scores and sub-scores of the level of understanding of the code were calculated based on questions grounded in IESBA Code and ethical dilemmas. The drivers of these scores were then examined using one-way ANOVA, OLS, Probit and ordered probit regressions. Findings: This study found considerable heterogeneity in Indian PMAIBs' understanding of their professional code of ethics and substantial scope for improvements. PMAIBs were stronger in Application, Resolution and Threats but weaker in Theory and Principles. Further, PMAIBs who had ranked themselves higher on code-familiarity, had higher moral maturity, hailed from western India and worked for foreign-listed, foreign-owned firms were found to have a higher level of understanding of the code. Highly educated elderly professionals and professionals with more responsibility areas exhibited a lower level of understanding of the code. Research limitations/implications: Insights from the study can help professional bodies, employers and academics identify and segment PMAIBs based on their ethics-training needs and customize interventions, which can benefit businesses and society through reduced corporate ethical failures. Considering the risk implications of Indian PMAIBs' inadequacies in understanding their code of ethics, the Indian professional accounting organization (ICAI-CMA) should mandate ethics in continuing professional development and expedite its long pending convergence with the IESBA code, a global benchmark for professional accountants. Originality/value: This paper assesses the understanding of the professional code of ethics of PMAIBs, which is crucial yet amiss in the accounting ethics literature. While ethical decision-making is extensively researched, how well the professionals understand their code is yet unexplored. Research on PMAIBs, despite their unique ethical vulnerabilities and increasingly vital role in organizations, is still dormant. This study aims to fill these gaps by examining PMAIBs from India, an emerging economy under-represented in accounting ethics literature. India offers an important and rich setting for the study due to its large size, fast growth, deep integration with the global economy, high perceived corruption levels and poor ethical behavior of its firms. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to analyse the factors influencing migration, the labour migration process and the status of migrant laborers in the informal sector, particularly those working in brick kiln factories. It will shed light on the precarious nature of their work, often characterized by informal and verbal contracts. The paper examines occupational and environmental health hazards affecting the labourers and their impact on their well-being, the vulnerability of women in the precarious work environment and the associated health risks in brick kiln factories in India. Design/methodology/approach: The study relies primarily on primary data collection, supplemented by secondary literature and documents. Balangir district was chosen as the research region due to its historical deprivation, underdevelopment and the historical prevalence of environmental distress, leading to distress-driven migration. To gather primary data, 40 respondents were selected from five selected blocks in Balangir district, resulting in a total of 200 respondents. In addition, in-depth interviews were conducted with 35 individuals across the selected blocks, with approximately seven participants from each block. In addition, interviews of 10 kids were taken and around 10 key informants including the trade union leaders, intellectuals and civil society activists. Findings: Migrant labourers, including men, women and children, face significant health issues and are exposed to similar occupational health hazards. Internal migrant women workers are more vulnerable as they face critical health risks during pregnancy in host areas due to unfavourable working conditions and limited access to health-care services. Factors such as strenuous work, long working hours, poor nutrition and inadequate maternal care contribute to adverse outcomes such as spontaneous abortion, premature delivery and abnormal postnatal development. Research limitations/implications: The brick kiln industry presents a distressing reality for men who are highly vulnerable to occupational accidents, and women workers are exposed to sexual abuse, exploitation and violence. The prevalence of physical harassment, ranging from leering to rape, is alarmingly high among women. These incidents not only inflict physical harm but also cause severe psychological trauma and increase the risk of sexually transmitted diseases. Despite the existence of laws aimed at protecting women's rights and addressing sexual offences, the workers often remain unaware of their rights. This lack of awareness further compounds the vulnerability of women workers and perpetuates their exploitation in the workplace. Practical implications: To address health issues comprehensively, interventions should encompass the entire migrant population, including men and children. Strategies should focus on improving access to health-care services, promoting occupational health and safety measures, ensuring proper immunization and nutrition for children and addressing the broader social determinants of health. Empowering women with knowledge about reproductive health and rights, raising awareness about available health-care services and strengthening health-care providers' capacity to cater to migrant populations are crucial steps towards addressing health disparities. Social implications: Urgent interventions and policies are needed to address the health vulnerabilities of internal migrant workers and women workers. It is required to ensure health-care accessibility, improving working conditions, ensuring access to maternal care and essential supplements and providing health-care services for both pregnant women and their children, regardless of migration status. Originality/value: The study focused on precarious health and occupational hazards and accidents faced by migrant workers. It highlights women migrant labourer's and children's vulnerability in the Brick Klin sector, which is a value addition to the existing knowledge in social science. [ABSTRACT FROM AUTHOR]

NRT in the form of assisted reproduction and sex-selective abortive technologies continue to add to the "entangled" form of the reproductive body (Murphy, [1]). This special issue brings together emerging research around the vicissitudes of the reproductive body, as it comes undone in emerging body politics in India in relation to New Reproductive Technologies (NRT). This paper also shows that while ultrasound technology in Jammu is deployed for sex-selective abortion of girls, its availability in Leh has not led to a deterioration in the sex ratio. [Extracted from the article]

While the existing literature has emphasized the role of governance in controlling corruption, they have paid less attention to its multidimensional nature. With this background, this paper identifies the configuration(s) of governance dimensions inducing a high control of corruption (low corruption) across Indian states using Fuzzy-set Qualitative Comparative Analysis (fs/QCA). The analysis presented several configurations of governance dimensions instrumental in causing a high control of corruption across the states. A remarkable result was that low performance in the human resource development dimension is one of the core causal factors that lead to a high control of corruption within the Indian context. This paper attempts to interpret this notable result and proposes a suggestion for the Indian government in light of this finding. [ABSTRACT FROM AUTHOR]

English in India, today, is a symbol of people's aspirations for quality education and participation in National and International life. In the educational community, students are more addicted to technology than any other thing in the environment. The involvement of the students in the technological world is inseparable and recent developments have come to a finding that teachers need to use technology to be effective while teaching students. Due to the impact and influence of Information Technology on society and education, computer-assisted language teaching is becoming a way for language teaching. The recent pandemic has made every student more of a technological user than the previous times. However, the teacher confronts certain challenges in the English classrooms while training through the existing and upcoming curriculum. It is necessary, especially for English teachers to adopt a suitable technology-based teaching methodology to rise above the challenges confronted. Only with technological aid and suitable methods or tools in the technology, it is possible for teaching to be more effective for the students belonging to the technological world. The students who were exposed to teaching with technological support seem to have improved more than the students who were not exposed to technological tools. Hence in this paper, I have tried to identify, use, and suggest the apt technological tools that can be used by the students' community to impart all four skills Listening, Speaking, Reading, and Writing in the English language. [ABSTRACT FROM AUTHOR]

This paper harnesses the Artificial Neural Network Quantile Regression model to estimate the systemic risk exposure of select banks in India. The model employs a 'Leaky ReLU' activation function to capture non-linearity in risk spillover. The estimated model detects major periods of systemic stress in the last 15 years and suggests that smaller private sector banks are more exposed to systemic risk during stress periods. The estimated model is useful in gauging early signs of rise in systemic risk exposure of individual banks and can complement the micro-prudential risk assessment toolkit of supervisors in initiating timely remedial actions. [ABSTRACT FROM AUTHOR]

This paper assesses the social environment required for enhancing social sustainability in a social housing project in India, with a case study of Ajith Singh nagar, social housing project of Vijayawada of Andhra Pradesh, India. Social sustainability is less thought off out of Three pillars of sustainability (Environment, social and economic). Social sustainability is quality of life in a neighborhood with its social environment. This paper studies the Informal social spaces such as informal meeting places, eating, sitting places, religious places and other activities of informal enterprise and trades which add to sustainable neighborhood environment. These spaces generate psychological comfort, enable to establish social relationships, that creates opportunity for informal interactions and social cohesion. Provision of these places in a neighborhood will address the social sustainability. This research arrives at what social spaces and activities required in a neighborhood by analysing existing housing layout which is otherwise just series of buildings and roads. The interactions between people and their surroundings strengthen community building and social bonding. This paper finds out that adding these places and activities enhance the social interactions and in turn establish social Capital. [ABSTRACT FROM AUTHOR]

As India moves toward enacting a comprehensive data protection legislation, it becomes essential to examine the possible application of India's proposed data protection law to the use of Artificial Intelligence (AI). The various challenges posed by AI to data protection principles and data principals' rights need to be examined. The need for data maximisation in the use of AI challenges the principle of collection limitation. The difficulty in anticipating the processing purposes of AI challenges the principle of purpose limitation. With a brief introduction to AI and data protection law in India, the paper examines the compatibility of various data protection provisions under India's Digital Personal Data Protection Act, 2023 with AI. The paper also provides recommendations for data protection regulation of AI. The paper proposes the need to hold data fiduciaries accountable using Data Protection Impact Assessments, Codes of Practice and Security Measures. Besides, there is a need to define the fiduciary duty of care between the data principal and data fiduciary. There is a need recognize data protection by design and default and the Right against automated decision making. Technical solutions need to be explored, but at the same time, AI must not be over-regulated. Lastly, there is a need for flexibly interpreting the provisions of the proposed data protection law. [ABSTRACT FROM AUTHOR]

Background: The term "Telemedicine" is being used in the medical and health sector to treat patients and to provide medical guidance remotely. The intellectual output from India in terms of publications was harvested from Scopus® with the keyword "Telemedicine" and analyzed by using bibliometric techniques. Methods: The source data was downloaded from the Scopus® database. All the publications on telemedicine and indexed in the database up to the year 2021 were considered for scientometric analysis. The software tools VOSviewer® version 1.6.18 to visualize bibliometric networks, statistical software R Studio® version 3.6.1 with the Bibliometrix package Biblioshiny® were used for analysis and data visualization, and EdrawMind® was used for mind mapping. Result: India contributed 2,391 (4.32%) publications on telemedicine to a total of 55,304 publications worldwide until 2021. There were 886 (37.05%) papers that appeared in open access mode. The analysis revealed that the first paper was published in the year 1995 from India. Steep growth in the number of publications was observed in 2020 with 458 publications. The highest, 54 research publications, appeared in the "Journal of Medical Systems." The All India Institute of Medical Sciences (AIIMS), New Delhi, contributed the highest number of publications (n = 134). A considerable overseas collaboration was observed (USA: 11%; UK: 5.85%). Conclusions: This is the first such attempt to address the intellectual output of India in the emerging medical discipline of telemedicine and has yielded useful information such as leading authors, institutions, their impact, and year-wise topic trends. [ABSTRACT FROM AUTHOR]

The data on women's education and labour force participation in India suggests that though the gender gap in education (particularly higher education) has almost disappeared, the gender gap in employment remains significant. The paper links the burden of double responsibility (paid work plus unpaid 'care work') with the low labour force participation rates among the highly educated women in urban India. Based on primary and secondary sources, the paper analyses the lived experiences of women who had to either leave their careers or who continued by managing to balance the two sets of responsibilities. Interrogating the care diamond in India, the essay examines two recent provisions of the government of India for working mothers - an increase in Maternity Leave and the provision of Childcare Leave. It finds that though these provisions seem to be in the right direction as they bring recognition to the care burden of employees, given the prevailing social norms on gender roles, they are insufficient (in their present form) to bring gender parity in the labour market. [ABSTRACT FROM AUTHOR]

Road Roughness/Unevenness is an important parameter for the evaluation of the surface condition of a road. Roughness affects the vehicle operating cost, speed, riding comfort, safety, fuel consumption, and tire wear and tear. Every road user desires to have a smooth and comfortable riding. Roughness measurement is an important activity on highways based on which maintenance decisions are taken. IRC (Indian Road Congress) manual specifies roughness measurements to be taken at every 6 months on highways and based on the roughness index the functional overlay requirements are decided on highways. Roughness measurements using profilometers, namely Rod and Level, Dipstick, Merlin, Profiler, LiDAR, etc., give detailed surface profile measurements but are time-consuming. An alternative to profilometers is Response Type Road Roughness Measurement Systems (RTRRMS) which are installed on vehicles and measure how the vehicle responds to the pavement profile. A car-mounted fifth wheel Bump Integrator developed by CRRI in India is commonly used to measure roughness. The fifth wheel bump integrator system works through mechanical instruments producing 'bumps,' a binary, 'true or false' information, instead of 'range based' analog information produced by digital accelerometers commonly found in smartphones. Due to the difficulty in the calibration process, towing for longer distances, and complexity in recording, analyzing, and possible manual errors in recording the data, Cell Phone-based systems are becoming popular for their simplicity in measuring roughness using accelerometers embedded in the cell phone. RoadBounce is one such technology using Cell phone-based mobile Apps to measure roughness. This paper intends to present the findings of testing and evaluation of App-based roughness measurement technology for its accuracy and usability using different vehicles and mobile phones under different speeds, tire pressures, gradients, etc. [ABSTRACT FROM AUTHOR]

The present paper studied the impact of educational inequality on child mortality in the states of southern region of India during the period 1991 to 2019. The study applied the Gini coefficient technique to investigate the education inequality in each state of the region. The paper observed the highest educational inequality in Andhra Pradesh while the lowest in Kerala among the states. However, such educational inequality is highest in the rural areas as compared to the urban areas in each state. The improvement of the average years of schooling contributed to the reduction of education inequality in the region. The study observed that the reduction of education inequality leads to the growth of per capita NSDP in each state of the region. Similarly, the expansion of education sector leads to reduction of child mortality rate in each state of the region. [ABSTRACT FROM AUTHOR]