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The purpose of this paper was to find a successful treatment modality for patients suffering from temporomandibular joint (TMJ) ankylosis who could not be treated through traditional surgeries.

This work integrated the unique capabilities of the imaging technique, the rapid prototyping (RP) technology and the advanced manufacturing technique to develop the customised TMJ implant. The patient specific TMJ implant was fabricated using the computed tomography scanned data and the fused deposition modeling of RP for the TMJ surgery.

This approach showed good results in fabrication of the TMJ implant. Postoperatively, the patient experienced normalcy in the jaw movements.

Advanced technologies helped to fabricate the customised TMJ implant. The advantage of this approach is that the physical RP model assisted in designing the final metallic implant. It also helped in the surgical planning and the rehearsals.

This case report illustrates the benefits of imaging/computer‐aided design/computer‐aided manufacturing/RP to develop the customised implant and serve those patients who could not be treated in the traditional way.

The main purpose of this paper is to report the successful treatment modality for patients suffering from arthritis of the metatarsophalangeal joint (MTPJ) of the foot which otherwise could not be treated through traditional surgeries.

The unique capabilities of the computer-aided design and the rapid prototyping (RP) technology are used to develop the customized MTPJ implant (SamKu).

This approach shows good results in the fabrication of the MTPJ implant. Postoperatively, the patient experienced normalcy in the movement of the MTPJ of the foot.

Advanced technologies made it possible to fabricate the customized MTPJ implant (SamKu). The advantage of this approach is that the physical RP model assisted in designing the final metallic implant. It also helped in the surgical planning and the rehearsals.

This case report illustrates the benefits of imaging/computer-aided manufacturing/RP to develop the customized implant and serve those patients who could not be treated in the traditional way. This is a pioneered attempt toward implementation of a customized implant for patients suffering from arthritis of the MTPJ.

Fabrication of customized products in low volume through conventional manufacturing incurs a high cost, longer processing time and huge material waste. Hence, the concept of additive manufacturing (AM) comes into existence and fused deposition modelling (FDM), is at the forefront of researches related to polymer-based additive manufacturing. The purpose of this paper is to summarize the research works carried on the applications of FDM.

In the present paper, an extensive review has been performed related to major application areas (such as a sensor, shielding, scaffolding, drug delivery devices, microfluidic devices, rapid tooling, four-dimensional printing, automotive and aerospace, prosthetics and orthosis, fashion and architecture) where FDM has been tested. Finally, a roadmap for future research work in the FDM application has been discussed. As an example for future research scope, a case study on the usage of FDM printed ABS-carbon black composite for solvent sensing is demonstrated.

The printability of composite filament through FDM enhanced its application range. Sensors developed using FDM incurs a low cost and produces a result comparable to those conventional techniques. EMI shielding manufactured by FDM is light and non-oxidative. Biodegradable and biocompatible scaffolds of complex shapes are possible to manufacture by FDM. Further, FDM enables the fabrication of on-demand and customized prosthetics and orthosis. Tooling time and cost involved in the manufacturing of low volume customized products are reduced by FDM based rapid tooling technique. Results of the solvent sensing case study indicate that three-dimensional printed conductive polymer composites can sense different solvents. The sensors with a lower thickness (0.6 mm) exhibit better sensitivity.

This paper outlines the capabilities of FDM and provides information to the user about the different applications possible with FDM.

The existing literature on venture capitalists’ (VCs’) exits provides insufficient evidence regarding factors affecting the exit decision. This study aims to identify these factors and examine how VC firms do ranking or prioritize these factors.

The study is based on primary data. The qualitative analysis was done to develop the survey instrument. Fuzzy analytical hierarchical process, which is a popular method of multi-criteria decision modeling, is used to identify or rank the determinants of exit strategy by venture capital firms in India.

Broadly, eight determinants of exit strategy are ranked by VCs. A total of 33 statements describe these eight determinants. The results are analyzed on the basis of four measures of VCs’ profile, i.e. age of VC firm, number of start-ups in portfolios, type of investment and amount of investment.

The survey instrument needs to be validated with a larger sample size and other financial backers than VCs.

The study has direct managerial implication for VC firms as it provides useful information regarding the determinants of exit strategy by VC firms in India. These findings can provide necessary information to other financial backers too, viz., angel investors, banks, non-banking financial institutions and other individual and syndicated set-ups providing funding to start-ups.

The current research is unique as no prior study has explored the determinants of VCs exit strategy and prioritizing these determinants.

A critical aspect in venture capital (VC) exiting is the choice of exit mode. This study aims to predict if venture capitalists (VCs) can take the venture capital undertaking public by identifying the impact of investment attributes, market timing and macroeconomic conditions on the choice of mode of exit for VCs.

The study uses logistic regression on a sample of 632 Indian VC-backed firms where VCs exited during the past two decades via initial public offers (IPOs) and other routes, including strategic sale, secondary sale and buyback.

Results suggest that growth stage investments, larger syndication size and a larger number of IPOs increase the probability of exiting through IPOs, whereas investments in the information technology and information technology-enabled services industry have a higher likelihood of being exited through other routes. Region and gross domestic product are found to be statistically insignificant in predicting the likelihood for a particular mode of exit.

The results have practical implications for VCs as knowledge regarding the influence of investment attributes, market timing and macroeconomic conditions can help them in deciding their exit strategy vis-à-vis mode of exit and can maximize their potential gains. The results also have implications for the potential investors, primarily the public at large and acquirers.

The determinants of VC exit options remain an unexplored area in the Indian context. To the best of the authors’ knowledge, the study is the first of its kind that has used investment attributes, market timing and macroeconomic conditions to predict VC exit options in India.

The purpose of this paper is to unravel the complex factors guiding students' decisions during the higher education admission process in the Maharashtra state.

The study is based on descriptive and exploratory research and to accomplish the above said objectives, researcher use mix method (qualitative and quantitative). The research was conducted in the higher education institutions, colleges, coaching centers and universities providing under graduate and postgraduate courses in the cities of Maharashtra state, like Pune, Mumbai and Nashik where streams like management and engineering, are available.

Through a comprehensive dissection of these determinants, the research aims to provide nuanced insights that can guide educational institutions and policymakers in tailoring effective strategies. By recognizing the unique needs and aspirations of students across disciplines in Maharashtra, this study aims to contribute to the enhancement of the higher education admission process.

While the study provides valuable insights into student decision-making in Maharashtra, its findings may not be directly applicable to other regions with different socioeconomic, cultural and educational contexts. Therefore, the generalizability of the findings beyond Maharashtra may be limited.

Focusing specifically on Maharashtra adds a regional dimension to the research, considering the unique sociocultural, economic and educational characteristics of the state. This contextual focus allows for insights that are tailored to the local context, providing a deeper understanding of the challenges and opportunities in higher education admissions within Maharashtra.

The purpose of this paper is to propose a method for simulating the profile of part edges as a result of the FDM process. Deviations from nominal edge shape are predicted as a function of the layer thickness and three characteristic angles depending on part geometry and build orientation.

Typical patterns of edge profiles were observed on sample FDM parts and interpreted as the effects of possible toolpath generation strategies. An algorithm was developed to generate edge profiles consistent with the patterns expected for any combination of input variables.

Experimental tests confirmed that the simulation procedure can correctly predict basic geometric properties of edge profiles such as frequency, amplitude and shape of periodic asperities.

The algorithm takes into account only a subset of the error causes recognized in previous studies. Additional causes could be integrated in the simulation to improve the estimation of geometric errors.

Edge simulation may help avoid process choices that result in aesthetic and functional defects on FDM parts.

Compared to the statistical estimation of geometric errors, graphical simulation allows a more detailed characterization of edge quality and a better diagnosis of error causes.

Digital microfluidic devices have been demonstrated to have great potential for a wide range of applications. These devices need expensive photolithography process and clean room facilities, while printed circuit board (PCB) technology provides high configurability and at low cost. This study aims to investigate the mechanism of electrowetting-on-a-dielectric (EWOD) on PCB by solving the multiphysics interaction between fluid droplet and electric field. The performance of system will be improved by inducing an efficient electric field inside the droplet.

To induce an electric field inside the droplet on a PCB and change the initial contact angle, the mechanism of EWOD is studied based on energy minimization method and a set of simulations are carried out by considering multiphysics interaction between the fluid droplet and external electric field. The performance of EWOD on a PCB system is investigated using different electrode structures.

Surface tension plays an efficient role in smaller sizes and can be used to move and control a fluid droplet on a surface by changing the interfacial surface tension. EWOD on a PCB system is studied. and it revealed that any change in electric field affects the droplet contact angle and as a result droplet deformation and movement. The electrode pattern is an important parameter which could change the electric potential distribution inside the droplet. Array of electrodes with square, zigzag interdigitated and crescent shapes are studied to enhance the EWOD force on a PCB substrate. Based on the results, the radial shape of the crescent electrodes keeps almost the same actuated contact line, applies uniform force on the droplet periphery and prevents the droplet from large deformation. A droplet velocity of 0.6 mm/s is achieved by exciting the crescent electrodes at 315 V. Furthermore, the behavior of system is characterized for process parameters such as actuation voltage, dielectric constant of insulator layer, fluidic material properties and the resultant velocity and contact angle. The study of contact angle distribution and droplet motion revealed that it is helpful to generate EWOD mechanism on a PCB which does not need more complicated fabrication processes.

The ability to handle and manipulate the droplets is very important for chemistry on-chip analysis such as immunoassay chips. Furthermore, a PCB-based electrowetting-on-dielectric device is of high interest because it does not need cleanroom facilities and avoids additional high-cost fabrication processes. In the present research, the EWOD mechanism is studied on a PCB by using different electrode patterns.

The venture capital and private equity (VCPE) industry in India has grown significantly in recent years. During five‐year period 2004‐2008, the industry growth rate in India was the fastest globally and it rose to occupy the number three slot worldwide in terms of quantum of investments. However, academic research on the Indian VCPE industry has been limited. This paper seeks to fill the gap in research on the recent trends in the Indian VCPE industry.

Studies on the VCPE transactions have traditionally focused on one of the components of the investment lifecycle, i.e. investments, monitoring, or exit. This study is based on analyzing the investment life cycle in its entirety, from the time of investment by the VCPE fund till the time of exit. The analysis was based on a total of 1,912 VCPE transactions involving 1,503 firms during the years 2004‐2008.

Most VCPE investments were in late stage financing and took place many years after the incorporation of the investee firm. The industry was also characterized by the short duration of the investments. The type of exit was well predicted by the type of industry, financing stage, region of investment, and type of VCPE fund.

This paper highlights some of the key areas to ensure sustainable growth of the industry. Early stage funding opportunities should be increased to ensure that there is a strong pipeline of investment opportunities for late stage investors. VCPE investments should be seen as long‐term investments and not as “quick flips”. To achieve this, it is important to have a strong domestic VCPE industry which can stay invested in the portfolio company for a longer term.

This paper aims to provide an experimental evaluation of geometric errors on the edges of parts manufactured by the fused deposition modeling (FDM) process.

An experimental plan was conducted by building parts in ABS thermoplastic resin on a commercially available machine with given combinations of the three geometric variables (inclination, included and incidence angle) defined in the first part of the paper. Edges on built parts were inspected on a two-dimensional non-contact profilometer to measure position and form errors.

The analysis of measurement results revealed that the edge-related variables have significant influences on the geometric errors. The interpretation of error variations with respect to the different angles confirmed the actual occurrence of the previously discussed error causes. As an additional result, quantitative predictions of the errors were provided as a function of angle values.

The experimental results refer to fixed process settings (material, FDM machine, layer thickness, build parameters, scan strategies).

The two-part paper is apparently the first to have studied the edges of additively manufactured parts with respect to geometric accuracy, a widely studied topic for surface features.