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The purpose of this paper is to fabricate pre-existing geometries of the stents using solvent cast 3D printing (SC3P) and encapsulation of each stent with heparin drug by using aminolysis reaction.

The iron pentacarbonyl powder and poly-ɛ-caprolactone blend (PCIP) were used to print stent designs of Art18z, Palmaz-Schatz and Abbott Bvs1.1. The properties of antithrombosis, anticoagulation and blood compatibility were introduced in the stents by conjugation of heparin drug via the aminolysis process. The aminolysis process was confirmed by energy dispersive X-ray spectroscopy and Fourier transform infrared spectroscopy due to presence of amide group and nitrogen peak in the respective analysis. Biological studies were performed to depict the cell viability, hemocompatibility and antithrombotic properties. Besides, mechanical behaviors were analyzed to study the behavior of the stents under radial compression load and bending load.

The amount of heparin immobilized on the Art18z, Palmaz-Schatz and Abbott Bvs1.1 stents were 255 ± 27, 222 ± 30 and 212 ± 13 µg, respectively. The cell viability studies using L929 fibroblast cells confirmed the cytocompatibility of the stents. The heparinized SC3P printed stents displayed excellent thrombo-resistance, anticoagulation properties and hemocompatibility as confirmed by blood coagulation analysis, platelet adhesion test and hemolysis analysis. Besides, mechanical behavior was found in context of the real-life stents. All these assessments confirmed that the developed stents have the potential to be used in the real environment of coronary arteries.

Various customized shaped biodegradable stents were fabricated using 3D printing technique and encapsulated with heparin drug using aminolysis process.

The rapid expansion of artificial intelligence (AI) is progressively reshaping the dynamics of human interaction, communication, lifestyle, education and professional endeavors. The purpose of the study is to comprehend and address the barriers which are impeding the implementation of Generative AI Technologies, such as ChatGPT in the educational landscape.

The study used the Fuzzy analytic hierarchy process (AHP) model to analyze the responses gathered from 149 academicians belonging to the northern states of India.

The study established that the three most important criteria that influence the adoption of generative AI in the education sector are Risk of Academic Integrity, Risk of biased outcomes and Erosion of Critical Thinking.

The present study was confined to Fuzzy AHP to extract the critical criteria influencing the decision-making. Various other techniques such as PF-Delphi and PF-CoCoSo can be used further. The results provide significant inputs for future research to understand the effect of adoption of Generative AI in different contexts including both opportunities and the challenges faced by them.

The study will be beneficial to various stakeholders including students, educators, society and policymakers as the study will highlight the importance of AI tools, introduce the various challenges associated with and explain the use of these tools as productivity-enhancing tools.

To the best of the author’s knowledge, the present study is a novice as the use of AI in Academia is unexplored and the major criteria influencing the choices have yet been undiscovered.

In the last 10 years, India has amended its laws dealing with sexual offences against women with the changes ranging from increasing terms of imprisonment for the offence of rape to state-funded compensation schemes for women and child victims. In this regard, challenges persist for the agencies of the criminal justice system in India especially the courts to realise the vision of restorative justice as these forums have to navigate the relevant statutory provisions and binding precedents. This chapter seeks to analyse the challenges faced by courts in proper reintegration of victims and offenders of sexual offences, the institutional responses of the courts and suggests reforms to the criminal justice system in India in consonance with the principles of restorative justice acknowledged in the restorative justice movement in the international discourse.

The purpose of this paper is to examine the determinants of effectiveness in public colleges of Punjab (India) from the students’ perspective and the impact of these determinants on the satisfaction level of students. The study further explores the difference in the overall satisfaction of students’ toward college effectiveness on the basis of demographic variables.

The study uses a survey approach. The sample comprises of 369 students from 19 public/government general degree colleges of Punjab (India). Exploratory factor analysis (EFA) has been used to explore the determinants of public colleges and structural equation modeling (SEM) has been used to analyze the impact of these determinants on the satisfaction of students. t-Test and ANOVA have been used to examine the difference in students’ satisfaction on the basis of their demographic variables.

The research instrument has been tested for both reliability and validity. The findings showed that the eight determinants of the satisfaction of students toward public colleges, namely academic environment, college administration, students support services, learning material, infrastructure facilities, placement services, extracurricular activities and financial administration. These, eight independent variables have been entered into SEM. The SEM model shows that infrastructure facilities, academic environment, learning material, college administration, extracurricular activities and financial administration have a positive and significant impact on the students’ satisfaction. On the basis of demographic variables, significant differences in overall satisfaction have been found for gender and level of education.

Public higher education sector in Punjab suffers from many limitations. Students are the internal customers of educational institutions and their satisfaction toward higher educational institutions will make every learner’s mind and policymakers in the field of education think seriously about bringing reforms in the higher education sector in Punjab.

Punjab, a well-known state of northern India is a leader in providing higher education. But, it is a fact that public higher education sector in Punjab has been facing many challenges. Student satisfaction is the central goal of any institution and this research helps to develop new insight in the quality of public higher education.

The purpose of this paper is to design a low-cost stress bimorph RF-MEMS switch which is the desired transmission area application.

The bimorph structure of the low-temperature plasma-enhanced chemical vapor deposition (PECVD) of thermal oxide and gold are utilized to create the vibrating membrane. The effects of process conditions of low-temperature oxide deposited using the PECVD technique enable stress-free deposition of the key structural layer.

Scanning electron microscope images of the RF micro-switch confirms negligible stress in the released structure. The RF performances of this device exhibit isolation around 43 dB of up to 50 GHz in the OFF-state position and an insertion loss of less than 0.18 dB in the ON-state.

The finite element method results show good isolation of 43 dB and less insertion loss of 0.18 dB.