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The purpose of this study is to investigate and evaluate the impact of varying proportions of reinforcement on the mechanical properties of a modified Al₂O₃-LM6 cast composite under self-pouring temperature conditions. This study aims to determine the optimal mixture proportion of fine powders of Al, Si and xAl₂O₃ (with x values of 2%, 3% and 4%) through the application of design of experiment (DoE) and statistical analysis using the Minitab software. This study also involved evaluating the microstructural estimation and other physical properties of the cast composite to understand the combined effect of the reinforcement proportion on the material’s properties.

The researchers initially mixed the powders through ball milling and then compacted the moisture-free powder mix in a closed steel die. The resulting preforms were heated at the self-pouring temperature in an inert environment to fabricate the final cast composite. By applying DoE and performing an analysis of variance (ANOVA), the researchers sought to optimize the mixture proportion that would yield the best mechanical properties.

The experimental results indicated that a mixture combination of 83.5% Al blended with 12.5% Si and 4% Al₂O₃ led to the greatest improvement in mechanical properties, specifically in terms of increased density, hardness and impact strength. The ANOVA further supported the interaction effect of each processing parameter on the observed results. The results of this study offer valuable insights for the fabrication of modified Al₂O₃-LM6 cast composites under self-pouring temperature conditions. The identified optimal mixture proportion provides guidance for manufacturing processes and material selection to achieve improved mechanical properties in similar applications.

This study focuses on a specific composite material consisting of modified Al₂O₃ and LM6. Although Al₂O₃ and LM6 have been studied individually in various contexts, the combination of these materials and their impact on mechanical properties under self-pouring temperature conditions is a novel aspect of this research. The researchers use DoE methodology, along with statistical analysis using Minitab software, to optimize the mixture proportion and analyze the data. This systematic approach allows for a comprehensive exploration of the parameter space and the identification of significant factors that influence the mechanical properties of the composite.

The purpose of this paper is to propose a practical framework for community participation in post-disaster resettlement.

The proposed framework has been tested in two model villages (MVs) of Punjab, Pakistan. Primary data were collected through household surveys, focus group discussions and expert interviews. A survey with 67 households was conducted for obtaining qualitative data regarding community participation in post-disaster resettlement.

The first MV (Ittehad MV) was resettled by the local NGO, and the second (Basti Meera Mullan) by the provincial government. Results indicate that community participation significantly varied in selected MVs. NGOs have achieved positive realizations due to effective community involvement in resettlement efforts, whereas the governmental approach lacked in proactive community participation.

This framework can be used for other disasters, by refining and incorporating disaster relevant components. This research will be highly useful for disaster managers, private developers and NGOs engaged in resettling disaster-affected population.

The proposed framework can help disaster-affected communities to resettle according to their terms. This can only be attained if affected communities will proactively participate in resettlement planning process.

This original framework is exclusively designed to attain sustainability for post-disaster settlement through community participation.

This paper aims to present the edge scattering dominant circuit modeling. The effect of crosstalk on gate oxide reliability (GOR), along with the mitigation using shielding technique is further studied.

An equivalent distributed Resistance Inductance Capacitance circuit of capacitively coupled interconnects of multilayer graphene nanoribbon (MLGNR) has been considered for T Simulation Program with Integrated Circuit Emphasis (TSPICE) simulations under functional and dynamic switching conditions. Complementary metal oxide semiconductor driver transistors are modeled by high performance predictive technology model that drive the distributed segment with a capacitive load of 0.001 fF, V_DD and clock frequency as 0.7 V and 0.2 GHz, respectively, at 14 nm technology node.

The results reveal that the crosstalk induced delay and noise area are dominated by the overall mean free path (MFP) (i.e. including the effect of edge roughness induced scattering), in contrary to, acoustic and optical scattering limited MFP with the temperature, width and length variations. Further, GOR, estimated in terms of average failure rate (AFR), shows that the shielding technique is an effective method to minimize the relative GOR failure rate by, 0.93e-7 and 0.7e-7, in comparison to the non-shielded case with variations in interconnect’s length and width, respectively.

Considering realistic circuit modeling for MLGNR interconnects by incorporating the edge roughness induced scattering mechanism, the outcomes exhibit more penalty in terms of crosstalk induced noise area and delay. The shielding technique is found to be an effective mitigating technique for minimizing AFR in coupled MLGNR interconnects.

This study aims to understand how brand personality affects purchase intention through brand love and perceived quality in e-commerce.

Three hundred forty-eight users of e-commerce sites in New Delhi, India, were surveyed for the study. The data set was examined using confirmatory factor analysis, and the research hypotheses were assessed using structural equation modeling.

Two important conclusions emerged from the study. First, brand love and perceived quality have been considerably and favorably influenced by all six dimensions of brand personality of e-commerce brands. Second, the purchase intention toward the e-commerce sites is significantly and positively impacted by brand love and perceived quality.

This study by exploring various dimensions of brand personality, will assist e-commerce executives in increasing purchase intention toward the e-retailing sites.

This research is supposed to be the foremost to look at how brand personality, through brand love and perceived quality affects purchase intention toward e-commerce websites. The attachment theory is used in this study as a theoretical foundation for linking e-commerce brand personality to customers’ purchase intentions via brand love and perceived quality.

This study aims to explore the scientific research progress in the field of “Rural Livelihood” from 1991 to 2022.

A total of 2,122 documents were extracted from the Web of Science Core Collection using the key terms “Rural Livelihood” OR “Rural Livelihoods” in the “Title-Abstract-Keyword” field. The statistical analysis was performed through VOSviewer, Bibliometrix, Biblioshiney open-source package of R language environment, and MS Office software.

The results show that the first research article related to the field of rural livelihood was published in 1991, and the rapid growth in the publications of rural livelihood was observed since 2000, with a positive annual growth rate of 14.87%. Shackleton CM (n = 30 articles) and Belcher B (n = 1235 citations) are the most productive and highly cited authors in the field of rural livelihood, respectively. World Development is the most prolific and dominant journal, followed by Sustainability and Land Use Policy. The citation analysis disclosed that “Capitals and capabilities: a framework for analysing peasant viability, rural livelihoods and poverty” is the most cited research paper published in the field of rural livelihood by Anthony Bebbington. University of Copenhagen, Wageningen University and Rhodes University emerged as the topmost organizations engaged in rural livelihood research. The USA and the UK are the most productive and cited countries in rural livelihood. The keyword analysis revealed that most of the research published in the field of rural livelihood has focussed on rural livelihoods, management, conservation, poverty, strategies, climate change, etc.; however, the least emphasis is given on the subjects like food security, income diversification, biodiversity, deforestation, soil fertility management, bio-economy and environmental intervention. The thematic evolution reflects that the field of rural livelihood has been extensively researched and has undergone many dimensions, such as agriculture, management, conservation, climate change, households, policy and biodiversity.

The study’s findings provide an insight into global research trends, latest advances, hot issues, leading topics, and the thematic evolution of rural livelihood research over the last 31 years approximately. This study is quite useful to researchers and stakeholders to obtain rigorous bibliographic knowledge on literature related to the topic and work accordingly for R&D activities.

This study aims to investigate the research and citation impact of open access (OA) journals versus non-OA journals being published in the spectrum of library and information science (LIS) across the world and to further ascertain whether OA journals have greater citation counts than subscription-based journals in LIS discipline.

A total of 116 LIS journals (58 OA and 58 non-OA) were chosen from Scimago website. After selecting the journals, Publish or Perish software program was used to retrieve the publications and their corresponding academic citations by using International Standard Serial Number of journals from Google Scholar for the period of 2011–2018. The non-parametric Mann–Whitney U-test was applied on various research and citation indicators, namely, citation count, citations per author, citations per paper; g-index, h-index, hI norm and hI annual through SPSS.

Findings of the study demonstrate that non-OA journals in LIS have a significant citation advantage over OA journals. Moreover, Mann–Whitney U-test analysis rejected all the eight null hypotheses and reveals that non-OA journals in LIS discipline have greater citation counts, citations per author, citations per paper; g-index, h-index, hI norm and hI annual than OA journals.

To the best of the authors’ knowledge, this is the first study that embarks upon a whole-scale investigation of citation impact of OA and non-OA journals in LIS, which has implications for both research and practice. This study would serve as a reference guide to all involved in scholarly communication activities including academic communities, librarians, research funders, publishers and policymakers for publishing research work, grant funding, designing policies and subscriptions.

The paper aims to examine the constructs laid down by the information technology (IT) adoption theories to the cloud computing phenomena in conjunction with academic libraries of India to determine the factors responsible for the adoption of cloud computing.

Keeping the objectives into consideration, descriptive survey and constructive research method were used in the study. Library professionals engaged in the selected 28 central universities of India were chosen to participate in this study. To find the core drivers responsible for the adoption of cloud computing in academic libraries, constructs were taken from ten IT adoption theories.

The findings validate the fact that perceived ease of use, usefulness and ubiquitous availability of the enabling technology are strong drivers of the adoption of cloud computing technology in the libraries. Also, attitude is significantly correlated with the behavioral intention to adopt cloud computing services. High level of correlation was obtained between the cloud computing-perceived attributes and the librarian’s intention to use cloud computing technology. However, security risk is the biggest issue that has been affecting the behavioral intentions.

The study is a self-conscious attempt to fill the void and determine factors for the adoption of cloud computing in libraries. Further, it attempts to find out the preparedness of Indian academic libraries in adopting cloud computing.

Technology acquisition is a common phenomenon of acquiring external knowledge, but we have a limited understanding of conditions in which the acquirer integrates the target or not. On one hand, the acquirer may have a policy to integrate the target to benefit from its prior knowledge. On the other hand, the target may face challenges in continuing its knowledge creation and the acquirer may want to provide it autonomy to not disrupt it. This paper aims to identify conditions in which targets tend to be less integrated after acquisitions, allowing them to maintain more autonomy and contribute more to knowledge creation.

We test our arguments in the empirical setting of the global biopharmaceutical industry using a difference-in-difference approach on a longitudinal dataset of matched patents. We examine self-cites received by patents belonging to acquirers and the targets before and after the acquisitions.

We find that, on average, the targets’ prior patents do not receive more self-cites after the acquisition. We conclude that this is because their R&D activities are disrupted, suggesting a higher level of post-acquisition integration. However, more nuanced findings reveal that it may not be the case all the time. When the target has more research experience, is international or is specialized in complementary technologies, prior patents of targets continue to receive more self-cites after the acquisition. It indicates that the targets in such conditions continue knowledge creation, suggesting a lower level of post-acquisition integration.

Our findings contribute to post-acquisition integration research. While post-acquisition integration downside is common, we present conditions in which such a downside may be less likely. We highlight that the context of an acquisition may be an important determinant of the extent of integration of the target. Moreover, we supplement the integration research (cultural, structural and human resource and leadership perspectives of integration) by adding a knowledge-based perspective to it. Such dynamics have important implications for acquirers and targets in deriving value from the acquisition.

This research aims to explore the factors that affect the adoption of Web 2.0 among knowledge workers. The research specifically investigated the role of factors related to both knowledge seeking and knowledge sharing, in the context of Web 2.0 use by health care professionals.

For this research, a cross-sectional survey design was adopted. The data were analyzed using the partial least square-structural equation modeling.

The results confirmed that the intention to adopt Web 2.0 depends upon both the knowledge-seeking and the knowledge-sharing attitudes. However, between the two, it is knowledge-sharing factors that are more important. Health care professionals tend to share knowledge driven by intrinsic motivators rather than by extrinsic motivators. On the other hand, knowledge-seeking attitude was determined by usefulness of knowledge and was not affected by the effort involved.

All the respondents were health care professionals from India, and convenience sampling was used to reach them. This may limit the generalizability of the findings.

This research provides useful insights on implementing Web 2.0-based knowledge management systems, specifically for health care professionals. Particularly, it emphasizes the need to focus on reinforcing intrinsic motivators like self-efficacy and the joy of sharing.

It is perhaps the first study that integrates the factors related to knowledge sharing and seeking in a single theoretical model, thereby presents and tests a more realistic model of knowledge management.

The purpose of this paper is threefold: first, to measure the health inequalities among malnourished children; second, to decompose the health inequalities to identify key socioeconomic predictors for child malnutrition; and third, to assess the change in the proportional contribution of key predictors over time.

The study has used data of National Family Health Survey (NFHS) conducted in 1992-1993, 1998-1999 and 2005-2006. The information on anthropometric indicators for children below three years of age is provided; however the study is restricted to “weight-for-age,” as it is considered to be a comprehensive indicator of child nutritional status. In the first stage of analysis, health inequalities are measured among malnourished children using concentration indices (CI) for each round of NFHS. In second stage, the inequalities are decomposed to estimate the proportional contribution of socioeconomic predictors. In the third stage, change in the relative contribution of socioeconomic predictors over three rounds is assessed to suggest target-specific policies and programs.

The results highlight a slow decline of only seven percentage points in the proportion of malnourished children in India during 1992-2006. The increasing values of CIs from −0.13 (1992) to −0.18 (2006) demonstrates the concomitant rise in economic inequalities among malnourished children. The results of decomposition analysis point toward household poor economic status and mother’s illiteracy as the major contributor of inequalities during 1992-2006. During the study period, the economic status explained 50, 65 and 59 percent of inequalities, whereas mother’s illiteracy explained 40, 30 and 29 percent of inequalities, respectively. Overall, the contributors to health inequalities remained the same over time with a change in their relative contribution.

The present study is focussed on three rounds of NFHS data conducted at different time period and so it has certain limitations which should be kept in mind while interpreting the results. The study has revealed mother’s education and economic status of the household as the major contributory factors toward child health inequalities. However, one should not forget that the level and quality of education has undergone tremendous change from 1992 to 2006 which the authors could not capture considering the availability of data in the form of years of schooling. Second, since the NFHS-1 has collected the information about the caste groups in only three categories, i.e. schedule caste, schedule tribe and others; the authors have to pool the other backward caste groups with the general caste groups. Third, the authors have used the broad classification of place of residence, i.e. rural and urban area to analyze the inequalities assuming the uniform level of development across the urban regions; however there exists huge disparities within urban areas which leave scope for further research. Fourth, though, the authors have estimated the wealth based inequalities, but NFHS does not provide the absolute level of wealth and so the authors have computed the proxy measure for wealth based on the household assets which has been extensively used in the field of research. Despite these limitations, the authors however believe that the present research work has appropriately decomposed the inequalities among malnourished children and have revealed the changes in the proportional contribution of socioeconomic factors over time.

The decomposition analysis brought into light that average health indicators are insufficient for determining the right approach to health intervention programs. Health policy interventions have to focus ideally on both health averages and within and between group inequalities based on varying contributions of socioeconomic determinants.

Concentrated efforts along with the inter-sectoral concurrence, good nutrition governance, effective investment and unequal distribution of resources are pre-requisites to ameliorate the level and existing inequalities in child malnutrition in India.

The distinctiveness of this study can be primarily found in the use of all three rounds of NFHS data to estimate health inequalities among underweight children. The study has also decomposed the health inequalities to estimate and analyze the change in relative contribution of socioeconomic predictors for each round to facilitate the formulation of target-specific policies and programs.