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The purpose of this paper is to examine the crowding-in or crowding-out relationship between public and private investment in India.

The autoregressive distributed lag (ARDL) bounds testing approach is used to estimate the long run relationship between public and private investment using annual data from 1971-1972 to 2009-2010.

Based on the empirical findings, it is observed that aggregate public investment has a positive effect on private investment both in the long run and the short run. In contrast to the findings of previous studies, no significant impact of public infrastructure investment on private investments is found in the long run, while non-infrastructure investment has a positive impact on private investment in the short run. Among the various categories of infrastructure sector, a positive and significant impact in the case of electricity, gas and water supply is observed. Similarly, the result indicates that public investment in machinery and equipment and construction have substantially influenced the private sector machinery and equipment in the long run and the short run. In the case of the role of macroeconomic uncertainty, the results find a negative and significant impact on private investment and the impact is higher in the short run than in the long run.

The present study extends the literature in three important ways: First, the study attempts to capture heterogeneity of public investment as well as disaggregate effects of two different categories of public infrastructure on private investment. The extent to which two different types of public assets impact the private investment in machinery and equipment investment is also examined. Second, ARDL model is used to examine the long-run relationship between public and private investment. Third, the study incorporates macroeconomic uncertainty into the empirical analysis to examine the role of macroeconomic volatility in determining private investment decision.

The purpose of this paper is to investigate the impact of ultrasonic vibration (UV) and tool pin profile on mechanical properties and microstructural behaviour of AA7075-T651 and AA6061-T6 joints was analysed.

The joints were fabricated using three different tool pin profiles such as cylindrical, square and triangle. For each tool pin profile, two different UV powers of 1.5 kW and 2 kW were used.

On both the advancing and retreating sides of the weld, the thermo-mechanically affected zone has the lowest microhardness. In all joints, the tensile fracture locations match to the minimum hardness values. Field emission scanning electron microscope fractography of tensile tested specimens reveals heterogeneous modes of brittle, shear and ductile fracture. Three-point bending analysis was performed to determine the ductility and soundness of the weld joint. The acoustic softening effect of UV, as well as the static and dynamic ratio of tool pin profile, plays an important role in determining the material flow and mechanical behaviour of the joint.

Dissimilar aluminium joining fascinates many applications like aircraft, aerospace, automobiles, ship building and electronics, where fusion welding is a very intricate process because of the deviation in its physical and chemical properties.

From this study investigation, it is found that the square pin profiled tool with 2 kW UV power produces metallurgical defect-free and mechanically sound weld with maximum tensile strength, hardness and bending load of 297 MPa, 151HV and 3.82 kN, respectively.

The purpose of this paper is to understand the effect of basin water depth towards the cumulative distillate yield of the traditional and developed single basin double slope solar still (DSSS).

Modified single basin DSSS integrated with solar operated vacuum fan and external water cooled condenser was fabricated using aluminium material. During sunny season, experimental investigations have been performed in both conventional and modified DSSS at a basin water depth of 3, 6, 9 and 12 cm. Production rate and cumulative distillate yield obtained in traditional and developed DSSS at different water depths were compared and best water depth to attain the maximum productivity and cumulative distillate yield was found out.

Results indicated that both traditional and modified double SS produced maximum yield at the minimum water depth of 3 cm. Cumulative distillate yield of the developed SS was 16.39%, 18.86%, 15.22% and 17.07% higher than traditional at water depths of 3, 6, 9 and 12 cm, respectively. Cumulative distillate yield of the developed SS at 3 cm water depth was 73.17% higher than that of the traditional SS at 12 cm depth.

Performance evaluation of DSSS at various water depths by integrating the combined solar operated Vacuum fan and external Condenser.

This study focuses on the structural performance assessment of hybrid polymer composites for pick-and-place robot grippers used in critical infrastructure. This research involved the creation of composite materials with different nanoparticle concentrations, followed by extensive testing to assess the mechanical properties of the materials, such as strength, stiffness and durability.

The composites comprised bidirectional interply inclined carbon fibers (C), S-glass fibers (SG), E-glass (EG), an epoxy matrix and silica nanoparticles (SNiPs). During construction, the composite materials must be carefully layered using quasi-static sequence techniques (45°C1/45°SG2/45°EG2/45°C1/45°EG2/45°SG2/45°C1) to obtain the epoxy matrix reinforcement and bonding using 0, 2, 4 and 6 wt. % of silica nanoparticles.

According to various test findings, the 4 wt. % of SNiPs added to polymer plates exhibits the maximum strength outcomes. The average results of the tensile and flexural tests for the polymer composite plates with 4 wt. % addition SNiPs were 127.103 MPa and 223.145 MPa, respectively. The average results of the tensile and flexural tests for the plates with 0 wt.% SNiPs were 115.457 MPa and 207.316 MPa, respectively.

The authors hereby attest that the research paper they have submitted is the result of their own independent and unique labor. All of the sources from which the thoughts and passages were derived have been properly credited. The work has not been submitted for publication anywhere and is devoid of any instances of plagiarism.

1. The study enhances the engineering materials for innovative applications.

2. The study explores the mechanical behavior of carbon/S-glass/E-glass fiber composites.

3. Silica nanoparticles were enhancing mechanical characteristics of the composite structure.

The study enhances the engineering materials for innovative applications.

The study explores the mechanical behavior of carbon/S-glass/E-glass fiber composites.

Silica nanoparticles were enhancing mechanical characteristics of the composite structure.

The success or failure of any Six Sigma program/project depends on some critical factors. The purpose of this paper is to identify and explore critical success factors (CSFs) of Six Sigma from an extensive literature review of research articles published in the context of Six Sigma and propose a categorized list of vital CSFs.

The methodology used is the systematic analysis of 64 different research publications and case studies from 34 different journals that are relevant in the context of Six Sigma by filtering, using keywords like Six Sigma and CSFs. This analysis leads to the exploration of a number of CSFs followed by their prioritization by using a Pareto analysis quality tool. These CSFs are then sorted into a proposed list of “vital few” and “useful many” CSFs groups in accordance to their frequency of occurrence.

The literature revealed 13 vital CSFs: management involvement and commitment, training, cultural change, communication, customer focus and requirements, organizational infrastructure and resources, project management skills, project prioritization and selection, understanding the Six Sigma methodology, tools and techniques, linking Six Sigma to business strategy, linking Six Sigma to customers, customer focus and requirements, quality data and reporting and linking Six Sigma to suppliers. The consideration of these CSFs will increase the success rates of a Six Sigma program/project in an organization.

The CSFs extracted spotlight only small and medium enterprises (SMEs) and do not consider large industries. This paper is confined to those articles that argued that the Six Sigma is beneficial to SMEs and does not consider the failure experience of the industries.

This paper identifies the CSFs for implementing Six Sigma that are comprehensive and potential to address the quality-related issues of industries. This paper also provides an extract of the relevant publishing to both the academicians and practitioners in the field of Six Sigma for implementing Six Sigma framework in an organization. This study is apparently the first of its kind on CSF assessment and categorization.

This paper aims to provide a process-driven scientific data quality (DQ) monitoring framework by information product map (IP-Map) in identifying the root causes of poor DQ issues so as to assure the quality of scientific data.

First, a general scientific data life cycle model is constructed based on eight classical models and 37 researchers’ experience. Then, the IP-Map is constructed to visualize the scientific data manufacturing process. After that, the potential deficiencies that may arise and DQ issues are examined from the aspects of process and data stakeholders. Finally, the corresponding strategies for improving scientific DQ are put forward.

The scientific data manufacturing process and data stakeholders’ responsibilities could be clearly visualized by the IP-Map. The proposed process-driven framework is helpful in clarifying the root causes of DQ vulnerabilities in scientific data.

As for the implications for researchers, the process-driven framework proposed in this paper provides a better understanding of scientific DQ issues during implementing a research project as well as providing a useful method to analyse those DQ issues based on IP-Map approach from the aspects of process and data stakeholders.

The process-driven framework is beneficial for the research institutions, scientific data management centres and researchers to better manage the scientific data manufacturing process and solve the scientific DQ issues.

This research proposes a general scientific data life cycle model and further provides a process-driven scientific DQ monitoring framework for identifying the root causes of poor data issues from the aspects of process and stakeholders which have been ignored by existing information technology-driven solutions. This study is likely to lead to an improved approach to assuring the scientific DQ and is applicable in different research fields.