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This study aims to perform the experimental work on a laboratory-constructed steel truss bridge model on which hammer blows are applied for excitation. The vibration response signals of the bridge structure are collected using sensors placed at different nodes. The different damaged states such as no damage, single damage, double damage and triple damage are introduced by cutting members of the bridge. The masked noise with recorded vibration responses generates challenge to properly analyze the health of bridge structure.

The analytical modal properties are obtained from finite element model (FEM) developed using SAP2000 software. The response signals are analyzed in frequency domain by power spectrum and in time-frequency domain using spectrogram and Stockwell transform. Various low pass signal-filtering techniques such as variational filter, lowpass sparse banded (AB) filter and Savitzky–Golay (SG) differentiator filter are also applied to refine vibration signals. The proposed methodology further comprises application of Hilbert transform in combination with MUSIC and ESPRIT techniques.

The outcomes of SG filter provided the denoised signals using appropriate polynomial degree with proper selected window length. However, certain unwanted frequency peaks still appeared in the outcomes of SG filter. The SG-filtered signals are further analyzed using fused methodology of Hilbert transform-ESPRIT, which shows high accuracy in identifying modal frequencies at different states of the steel truss bridge.

The sequence of proposed methodology for denoising vibration response signals using SG filter with Hilbert transform-ESPRIT is a novel approach. The outcomes of proposed methodology are much refined and take less computational time.

This study aims to identify and prioritize the key practices and strategies for effective global sourcing and supply chain management (SCM).

The study uses a combination of Pareto analysis and multi-objective optimization based on ratio analysis research methodology to analyze and establish the relationships among the identified key practices and strategies. Pareto analysis enables organization to prioritize organizational efforts and resources by focusing on the most critical factors.

The study shows that the “eco-friendly sourcing strategy”, “lean manufacturing” and “tool cost analysis” are the top critical practices and strategy variables for global sourcing and SCM, whereas the “risk management”, “procurement strategy” and “leverage digital solutions” are the critical practices and strategy variables.

The findings of this research can also assist organizations in making informed decisions to optimize their global sourcing and supply chain operations.

By using these methods, this research paper gives valuable insights into the critical practices and strategies that can enhance efficiency, mitigate risks and drive success in global sourcing and SCM. The subjects and elements this study identified will serve as a framework and suggestions for further theoretical investigation and real-world implementations.

Reverse supply chain (RSC) is one of the ways to handle product returns efficiently. Recovery of residual value from product returns also helps in achieving sustainability. Its successful implementation requires coordination among all the channel members involved in the activities, from the acquisition to collection to the disposition of returned products. This article aims to review the literature about coordination issues in the RSC.

A systematic literature review of 151 articles published during 2004–2021 is carried out. Theory, context and methodology (TCM) framework of the literature review is used to identify the research gaps for future research directions.

This study identifies the characteristics of RSC coordination. It includes channel structures; coordination mechanisms; performance measuring parameters; the methodology applied and explored industries. The review shows that game-theoretical modeling in RSC coordination is the most commonly used method to coordinate the channels. It was found that issues like disruption, fairness and corporate social responsibility are not explored in-depth and offer much potential for future research.

There are very limited studies on coordination issues in the RSC. The proposed articles add value by considering RSC issues from different strategic, government, consumers' behavior and functionality decision-making point of view.

This study aims to identify the key indicators for quality enhancement in an educational institute which affect student’s outcome in terms of employability and entrepreneurship. These indicators can be used for improving the quality of engineering institutions imparting technical education.

Review of conceptual and empirical literature has been done to establish a linkage between institutional factors and quality output. The paper further identifies existing quality gaps in engineering education that make their students misfit to the requirements of market.

The relevant literature reviewed suggests that quality of technical institutions can be viewed form two perspectives: first, students’ achievement in the form of placements, entrepreneurial output, enrollment in higher studies and university ranks. Second, faculty research output in the form of publication in refereed journals, consultancy projects and patents. The study concludes by stating that when these two important stakeholders are provided with the infrastructural support and environment to showcase their skill, the quality of technical institutions improves automatically.

The study is conducted on technical institutions engaged in providing engineering education. This research can be extended to other disciplines.

The framework proposed in the study will help technical institutions in evaluating their service quality levels which will further help them in improving the same.

This study aims to include the diagnosis of an old concrete deck steel truss rural road bridge in the damaged and retrofitted state through vibration response signals.

The analysis of the vibration response signals is performed in time and time-frequency domains using statistical features-root mean square, impulse factor, crest factor, kurtosis, peak2peak and Stockwell transform. The proposed methodology uses the Hilbert transform in combination with spectral kurtosis and bandpass filtering technique for obtaining robust outcomes of modal frequencies.

The absence or low amplitude of considered mode shape frequencies is observed both before and after retrofitting of bridge indicates the deficient nodes. The kurtosis feature among all statistical approaches is able to reflect significant variation in the amplitude of different nodes of the bridge. The Stockwell transform showed better resolution of present modal frequencies but due to the yield of additional frequency peaks in the vicinity of the first three analytical modal frequencies no decisive conclusions are achieved. The methodology shows promising outcomes in eliminating noise and visualizing distinct modal frequencies of a steel truss bridge.

The findings of the present study help in analyzing noisy vibration signals obtained from various structures (civil or mechanical) and determine vulnerable locations of the structure using mode shape frequencies.

The literature review gave an insight into few experimental investigations related to the combined application of Hilbert transform with spectral kurtosis and bandpass filtering technique in determining mode frequencies of a steel truss bridge.

This paper evaluates the precision of four metasearch engines (MSEs) – DuckDuckGo, Dogpile, Metacrawler and Startpage, to determine which metasearch engine exhibits the highest level of precision and to identify the metasearch engine that is most likely to return the most relevant search results.

The research is divided into two parts: the first phase involves four queries categorized into two segments (4-Q-2-S), while the second phase includes six queries divided into three segments (6-Q-3-S). These queries vary in complexity, falling into three types: simple, phrase and complex. The precision, average precision and the presence of duplicates across all the evaluated metasearch engines are determined.

The study clearly demonstrated that Startpage returned the most relevant results and achieved the highest precision (0.98) among the four MSEs. Conversely, DuckDuckGo exhibited consistent performance across both phases of the study.

The study only evaluated four metasearch engines, which may not be representative of all available metasearch engines. Additionally, a limited number of queries were used, which may not be sufficient to generalize the findings to all types of queries.

The findings of this study can be valuable for accreditation agencies in managing duplicates, improving their search capabilities and obtaining more relevant and precise results. These findings can also assist users in selecting the best metasearch engine based on precision rather than interface.

The study is the first of its kind which evaluates the four metasearch engines. No similar study has been conducted in the past to measure the performance of metasearch engines.

The purpose of this paper is to analyze the overall morbidity prevalence and their differentials among emigrants’ and non-emigrants’ wives in Kerala, India.

The study is based on the third round of The Kerala Migration Survey-2007 data. The third round of KMS was perhaps the first survey which has collected data on Indian emigration and morbidity scenario during 2007 at the household and individual level. Descriptive statistics, binary logistic regression models, and Oaxaca decomposition models were used to examine the disease differentials among emigrants’ and non-emigrants’ wives.

The paper shows that household size is negatively associated with chronic disease and incidence of morbidity is much lower among emigrants’ wives. The result also shows that among women, those who stay with a husband or whose husbands are elsewhere in India show a higher incidence of morbidity than those whose husbands are abroad, owing to the limited scope of activity as well as freedom in lifestyle and for taking independent decisions. Thus, it can be concluded that for women, the scope of activity and the freedom to live are important factors contributing to the level of morbidity. Blinder-Oaxaca decomposition results show that non-poor households and non-Muslim religion are in a disadvantageous position in terms of chronic morbidity.

This paper is based on the cross-sectional nature of data; this is an obvious limitation on the effect of emigration on morbidity differentials among emigrants’ and non-emigrants’ wives.

There are few or rare studies conducted so far to investigate the effect of migration on the health of the spouses or families left behind.

The study aims to understand the information services provided to visually impaired users in Indian universities. Further, the study identifies the nuances of information system for visually impaired (ISVI) development suitable to the requirements of the visually impaired community in Indian higher educational institutions.

A two-fold methodology was followed in the study: (1) empirical survey and (2) information system design and development. The empirical survey was conducted in Indian higher educational institutions wherein 316 responses were collected including 185 (58.5%) undergraduate and 131 (41.5%) postgraduate students. A stratified random sampling technique was used in data collection. Empirical study findings were further used as a basis for ISVI design and development for addressing the information requirements of visually impaired users.

The study found that 232 respondents (73.2%) access the Internet every day. “Surprisingly, 143 respondents (45.3%) revealed that no digital infrastructure is available in their institutions, while 173 respondents (54.7%) stated digital infrastructure is available. A total of 210 respondents (75.9%) highlighted that the interface of open access (OA) resources is not designed as per visually impaired (VI) students' requirements. information and communication technology (ICT) infrastructure is not up to the mark revealed as by 34 respondents (10.7 percent) and was rated ‘poor.’” A total of 268 respondents (90.2%) expressed that their institution should develop the information system to full their information needs.

The study is conducted in only one state in India due to financial hindrances. Visually impaired students studying in other states of India are not covered in the study, which may have different perception about the design and development of information system for the visually impaired.

An online ISVI is designed and developed under the study, which is accessible at http://www.isvi.in. Furthermore, the findings of the study may also be used by administrators of the higher educational institutions for building ICT infrastructure for visually impaired students.

No study has been conducted in Indian higher educational institutions for understanding the availability and preferences of information services to visually impaired tertiary students.

The study aims to identify gender differences and similarities in the awareness of legal information resources and problems faced by legal professionals. Further, the study identifies the differences on the basis of gender, regarding the requirements in developing an online legal information system (OLIS) for the Indian environment.

The study was carried out in eight law libraries in Delhi using a structured questionnaire. Data were collected through the questionnaire having 27 questions including dichotomous (Yes/No), multiple-choice questions, rating and opinion questions. A need assessment survey was conducted using the structured questionnaire circulated among 750 respondents of eight institutions in Delhi. In total, 397 filled in questionnaires were received back. A total of 246 of the respondents were males and 151 females. The design and development of an OLIS went through five phases, i.e. preliminary preparation, designing and planning phase, development of OLIS covering preparation of software, data structures, metadata, search form, testing and implementation phase and maintenance.

The study found that 100 per cent of the female respondents were aware of online legal information resources. Maximum 28.4 per cent female respondents rated legal e-resources “very good”, whereas only 19.9 per cent male ranked them “very good”. Female respondents were found less aware about open access resources. In addition, of 246 male respondents, 213 (86.6 per cent) responded “Yes” about awareness of open access resources and 33 (13.4 per cent) marked “No”. In comparison, 116 (76.8 per cent) female respondents revealed they are aware of open access resources; 35 (23.2 per cent) were not aware of open access resources. Fifty-eight (23.6 per cent) male respondents were very dissatisfied, and 60 (24.4 per cent) completely dissatisfied. However, in contrast, 29 (19.2 per cent) female respondents were very dissatisfied and 24 (15.9 per cent) completely dissatisfied in using open access resources.

The study covers only eight institutions in Delhi, India. High courts and law universities in other parts of the country are not covered. In addition, OLIS contains a sample collection.

The study explores the inhibitions faced by female and male legal professionals. A suitable legal information system is developed to match the requirements of female legal professionals, research scholars and faculty members. The study is expected to address problems faced by female legal professionals in accessing the desired judicial and legislative information.

OLIS (www.olisindia.in) has been developed on the basis of a need assessment survey conducted on male and female legal professionals in India. No study has been conducted so far to compare the viewpoints of male and female legal professionals in India for developing an OLIS.

The purpose of this paper is to compare four popular academic social networking sites (ASNSs), namely, ResearchGate, Academia.edu, Mendeley and Zotero.

Evaluation method has been used with the help of checklist covering various features of ASNSs. A structured checklist has been prepared to compare four popular ASNSs, comprising 198 dichotomous questions divided into 12 broad categories.

The study found that performance of ASNSs using the latest features and services is not up to the mark, and none of the site is rated as “Excellent”. The sites lack in incorporation of session filters; output features; privacy settings and text display; and search and browsing fields. Availability of bibilographic features and general features is poor in these sites. Further, altmetrics and analytics features are not incorporated properly. User interface of the sites need to improve to draw researchers to use them. The study report reveals that ResearchGate scored the highest, 61.1 per cent points, and was ranked “above average”, followed by Academia.edu with 48.0 per cent and Mendeley with 43.9 per cent are ranked “average”. However, the Zotero (38.9 per cent) was ranked “below average”.

Accreditation agencies can identify suitable sites in the evaluation of institutions’ research output. Further, students and faculty members can choose the site suiting their needs. Library and information science professionals can use the checklist to impart training to the academic community which can help fostering research and development activities.

The study identifies features that ought to be available in a model ASNS. These features are categorized into 12 broad categories. The findings can also be used by developers of the sites to enhance functionalities. Institutions can choose suitable sites while collaborating with other institutions.