Engineering Science Research Articles

Engaging with Stakeholders of the Technological Future through Prophetic Dialogue: A Catholic Perspective

<p><em>This paper explores the role of the</em><em> Catholic Church</em><em> in the cognitive revolution driven by science and digital technology, and its engagement with stakeholders in technological development. Using qualitative analysis, it proposes a framework of “prophetic dialogue” from the Catholic perspective to effectively engage with stakeholders. The framework is developed from the teachings of the Catholic Church</em><em> on mission engagement</em><em>, and</em><em> the ideas of theologians </em><em>Stephen Bevans and Walter Bruggemann, focusing on mission, prophetic dialogue, and prophetic communication. Analyzing the framework in the digital context reveals that prophetic dialogue is an appropriate and effective approach for engaging with stakeholders, including innovators, policymakers, and consumers. By employing prophetic dialogue, the Church can shape the future of technology while safeguarding against potential negative consequences. The paper highlights the Church’s proactive role in influencing technological development and offers insights for other religious stakeholders in navigating the challenges and opportunities of the digital future.</em></p>

Changes in the Activities of the Library of the Yaroslav Mudryi National Law University in the Framework of Open Science

Objective. The article examines the role of modifications in the activities of the Scientific Library of the Yaroslav Mudryi National Law University (Yaroslav Mudryi NLU) as a basis for using its innovative potential in promoting the benefits of open science among the academic community, and facilitating the consolidation (unification) of research achievements on topical issues of law. Methods. The general scientific methods (analytical, comparative, analysis and synthesis, etc.) were applied, which made it possible to determine the features of structural and functional, reorganizational, resource and service modernization of the library's activities in the implementation of the latest open science technologies. Results. The article shows the role of the library as a reliable assistant of the University in the processes of research data exchange, a guarantor of the formation and adaptation of the online environment, resources, bibliometric tools to provide systematic support for research and strengthen communication interaction during remote work in wartime. Conclusions. Attention is focused on the need for strategic use of modifications in the library's activities, which allow achieving a balanced combination of open science goals with the modification of the library system and obtaining a synergistic effect within the research infrastructure of the University.

String Stable Bidirectional Platooning Control for Heterogeneous Connected Automated Vehicles

Article String Stable Bidirectional Platooning Control for Heterogeneous Connected Automated Vehicles Dengfeng Pan * School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia * Correspondence: E-mail: dengfengpan@swin.edu.au Received: 8 August 2024 Accepted: 18 September 2024 Published: 27 December 2024 Abstract: In vehicular platoons, disturbances can be amplified significantly downstream in the platoon if not adequately addressed, potentially leading to traffic jams or collisions. This paper tackles the challenge in maintaining string stability of heterogeneous vehicular platoons under a bidirectional communication topology and a refined constant time headway spacing policy. First, unlike the commonly used constant spacing policy and constant time headway policy, a refined constant time headway policy that combines the benefits of constant spacing and constant time headway policies is presented to enhance platooning safety while maintaining traffic efficiency. Second, a distributed adaptive estimator is designed such that each follower ensures its real-time estimation on the inaccessible leader's full states. The proposed estimators also well accommodate the heterogeneity among vehicles, allowing distinct inertial lag parameters of the vehicle longitudinal dynamics. Third, leveraging a bidirectional communication topology, a distributed scalable platoon controller is developed to guarantee the desired individual stability and string stability requirements of the vehicle platoon without the need of any global information of the communication topology. Formal sufficient conditions are provided on the existence of the desired estimator and controller gains. Finally, numerical simulations are conducted to verify the efficacy of the derived theoretical results. The simulations highlight the string stability and superiority of the proposed spacing policy, demonstrating the effectiveness of the proposed platooning control method.

Jelena Tomić-Bokur (1889–1961) – the First State-Appointed Woman Engineer Architect in Yugoslavia

In 2023, the author’s study «Early Engineers and Architects Born on the Territory of Present North Macedonia» was published in the RTU RCEH Scientific Journal «History of Engineering Sciences and Institutions of Higher Education» about the first engineers and architects who were born in the territory of present-day North Macedonia. This paper focuses on the life and work of the first state-appointed woman engineer architect in Yugoslavia in 1919, Jelena Tomić-Bokur (nee Tomić; 1889–1961), a graduate of the Technical Faculty of the University of Belgrade in 1913. The paper covers in brief her 24-year-long professional career between 1913 and 1937 in the Kingdom of Serbia and the Kingdom of Serbs, Croats, and Slovenes – Yugoslavia, with emphasis on her formation years in Skopje (1915–1923). This study contributes to the history of engineering and architecture in North Macedonia and wider whilst exploring the context in which the first women professionals emerged in Serbia and former Yugoslavia.

Application of microfluidic technologies in veterinary science with a view toward development of animal‐on‐a‐chip models

AbstractThe advancement of veterinary science relies on the adoption of modern technologies, more recently including molecular diagnostics, genomic research, precision medicine approaches, and advanced diagnostic imaging. Recent advancements in microfluidics have brought tremendous attention to human disease modeling, diagnosis, and drug development. Specifically, organ‐on‐a‐chip, a subset of microfluidic technology, is characterized by its ability to mimic the human in vivo microenvironment and improve cost efficiency in drug development. Recent studies have demonstrated huge potential in translating human‐centered microfluidic technologies to veterinary science, which can help to deepen our understanding of animal diseases and disorders and develop targeted treatments for diverse animal species, including companion animals, livestock, and wildlife. Further, the ongoing impact of climate change has heightened the threat of diseases among animal populations as well as the potential impact of zoonotic pathogens. New tools for in‐depth exploration of animal physiologies and diseases are essential to mitigate the risk of species extinction and safeguard animal well‐being. Building upon the achievements in human‐based microfluidic studies, we propose the comprehensive integration of this technology into veterinary research. This review provides an overview of microfluidic technology, its current applications in veterinary science, and discusses future directions and challenges toward the development of animal‐on‐a‐chip systems.

New Technologies of Grain Boundary Engineering of Materials for Improving the Corrosion Resistance of High Alloy Stainless Steel Pipes

Abstract. Problem. Pipes made of highly alloyed corrosion-resistant steels are widely used in corrosive-aggressive environments in priority industries. In connection with the increasing severity of their operating conditions, increased requirements for resistance to intercrystalline, pitting corrosion, corrosion cracking, and sulfide corrosion cracking under stress become the most important in accordance with the requirements of foreign and international standards. Previous studies have shown that currently operating technologies for the production of pipes do not meet the modern, comprehensive requirements for quality characteristics. To solve this problem, it is necessary to apply new progressive scientific and technological methods. Goal. The purpose of the work is to increase the corrosion resistance and operational reliability of pipes made of highly alloyed austenitic and ferritic-austenitic steels by improving their structure during deformation and temperature treatments according to the principle of grain boundary engineering of materials. Methodology. To achieve the goal, the latest scientific achievements and technologies for improving the structure and increasing the corrosion resistance of rolled products made of high-alloy steel were analyzed. When conducting experimental studies, modern methods were used and methods of metal structure research and complex corrosion tests for resistance to local types of corrosion to which corrosionresistant steels are subjected in operating conditions were developed. The results. The latest technologies for the production of pipes from austenitic chromenickel and ferritic-austenitic chrome-nickelmolybdenum steels, based on the principle of grain boundary construction of polycrystalline materials, have been developed. They ensure obtaining a structure of pipes with an increased content of special low-energy grain boundaries in the theory of coinciding site lattices (CSL) and high resistance against local types of corrosion in accordance with new industry requirements. Originality. For the first time, special low-energy grain boundaries in the ferritic component and interphase boundaries with reduced surface energy in highly alloyed ferriticaustenitic steels were found. The leading role of special boundaries in increasing resistance to local types of corrosion that originate at grain boundaries is shown. Practical value. The results of the work were implemented in the production at Centravis Production Ukraine PJSC, which contributed to the improvement of the quality and competitiveness of products

Ensuring Open Research Collaboration with the Open Science Framework: The Experience of the SPSTL SB RAS

Openness and accessibility of scientific research are becoming increasingly important aspects of promoting open science and reproducible research. Open scientific practices provide many benefits to both researchers and science as a whole. The Open Science Framework enables the application of open and collaborative research practices in the scientific community – from creating a data management plan, pre-registering one’s research and using version control to exchanging data and other research materials or publishing a preprint for rapid dissemination. The objective of the study was to analyze the OSF platform in order to identify the main functions and capabilities for open scientific communication and the use of this tool within the framework of the scientific project “Development of a Model for the Functioning of a Scientific Library in the Information Ecosystem of Open Science” of the State Public Scientific Technological Library of the Siberian Branch of the Russian Academy of Sciences to comply with the principles of open science. The author analyzed the OSF tools for creating projects, pre-registrations, posting preprints, as well as the possibilities of integration with various third-party services, such as Dropbox, GitHub, Google Drive, etc. Examples of projects and components are provided. The process of creating a project, adding components, metadata, creating preregistration is described. The results show that the user-friendly interface and variety of functions allow the OSF to be integrated into a researcher’s workflow and provide an opportunity to document and archive research projects, materials and data. They also facilitate the exchange of materials and data as well as promote research transparency. Russian researchers working in a wide range of scientific fields can use this open science tool to ensure open scientific collaboration and promote open and reproducible scientific research.

Bioinformatic Approaches in Neurodegenerative Diseases

Neurodegenerative diseases (NDDs), including Alzheimer's and Parkinson's, affect the central nervous system, causing progressive loss of cognitive and motor functions. As the global population ages, the prevalence of NDDs rises, imposing significant burdens on patients, families, and society. Despite extensive research, the diagnosis and treatment of NDDs remain challenging due to the complexity of their pathological mechanisms. Traditional methods, such as experimental biology and clinical observation, offer insights but are limited in scope. Bioinformatics, an interdisciplinary field combining biology, computer science, and information technology, provides new opportunities for advancing NDD research. It facilitates the analysis of genomics and proteomics data, aids in drug discovery, and enhances the construction of disease models. This study explores the applications of bioinformatics in NDD research, highlighting its role in identifying disease-associated genes, understanding molecular mechanisms, and discovering potential therapies. Case studies demonstrate how bioinformatics tools can improve research outcomes. The study concludes with a discussion on future research directions and the potential of bioinformatics to develop novel diagnostic and therapeutic approaches for NDDs. Continued advancements in bioinformatics and interdisciplinary collaboration are expected to deepen our understanding of these diseases and lead to more effective treatments.

STUDY OF TECHNOLOGICAL PROCESSES OF STAMPING OF FLANGE-TYPE PARTS BASED ON THE APPLICATION OF COMBINED EXPRESSION METHODS

The research of technological processes for stamping flange-type parts, particularly using combined extrusion methods, is a relevant direction in the field of materials science and mechanical engineering. Flanges, as structural elements, are widely used in various industries, especially in mechanical engineering, where high quality requirements are imposed. Ensuring high quality and cost-effectiveness in production necessitates the development of effective stamping technologies that achieve the required mechanical properties and accuracy of the parts. This paper examines the processes of combined extrusion, which integrate methods of bulk stamping and reverse extrusion. This approach allows for the simultaneous production of complex-shaped parts with enhanced accuracy and uniformity in the material structure. Such technologies ensure uniform deformation distribution and minimize the occurrence of defects, which is particularly important when manufacturing parts with high demands for reliability and durability. Special attention is given to the optimization of the stamping process parameters, including the selection of suitable materials, geometric parameters of the workpieces, and processing modes. The use of numerical modeling made it possible to investigate the influence of these parameters on the final properties of the parts, thereby reducing the number of experiments and shortening the development time of new technologies. Additionally, the paper addresses the energy consumption of the process, tool wear resistance, and the influence of different technological modes on the material's microstructure. Thus, the research findings can be utilized to improve existing technologies and develop new methods for stamping flange-type parts, enhancing their market competitiveness and meeting the growing demands of modern production.

An automatic coke optical texture recognition method based on semantic segmentation model

Article An automatic coke optical texture recognition method based on semantic segmentation model Xialin Wang 1, Xiu Kan 1,*, Zhen Zhang 1, and Weizhou Sun 2 1 Shanghai University of Engineering Science, Shanghai 201620, China 2 Anhui University of Technology, Anhui 243002, China * Correspondence: xiu.kan@sues.edu.cn Received: 1 October 2023 Accepted: 30 October 2024 Published: 24 December 2024 Abstract: To solve the segmentation problem of coke optical texture in coke photomicrograph, a semantic segmentation method is proposed based on the multi-scale feature fusion and attention strategy in this paper. The multi-scale module is com­bined with convolutional block attention module (CBAM) to design a feature extraction strategy, and the Coke-Net network model is established to extract the coke optical texture from coke photomicrographs. The relationship between pixels is fully considered to refine the segmentation edge, and the extraction results with spatial consistency are output to complete the precise segmentation of the coke optical structure. The ablation experiment and contrast experiment are used to demonstrate the effectiveness of the proposed method in coke optical texture extraction.

AI & technology in Languages, Humanities, Social sciences and Education

This article is feedback from experience carried out together in two Jordanian universities with a view to making the best use of AI in French for foreigners’ classes. It presents several examples of courses and exams specially created with the support of Chat GPT, Gamma.IA, Magic School and more, tested in BA (Bachelor of Arts) literature classes at an expected B2 level. Then, with the help of some detailed sequences, it highlights the unlimited potential of these learning tools, in particular by showing how the mastery of AI and the creativity of teachers involve those of learners. Finally, it underlines the need to add to the use of AI in the university sphere strict ethical rules both on the side of teachers and on the side of students.

Inclusion of Ethics Instruction in Technical Machine Learning Courses

In recent years, artificial intelligence (AI) has been developed and implemented across all domains of society, and this has accompanied various ethical concerns, including but not limited to predictive policing, autonomous military technologies, issues in medical systems and the prevalence of facial recognition technologies in government surveillance. Given the growth of AI and the proliferation of unethical AI systems, educational institutions are considering where and how to best teach the ethics of AI within the engineering curriculum. Noting the fledgling nature of AI ethics as a discipline, there is no consensus between academics on how to best integrate ethics curriculum within the curricula. This paper describes the development of a survey to better understand the instructor view and experience with integrating ethics curriculum. A questionnaire about ethics integration was designed and shared with all instructors teaching AI or related courses at a large, major research institution. The courses were primarily situated in engineering and computer science. Although the response rate was low, the design of the survey offers a useful example for other researchers considering survey design. This paper presents a work in progress.

Mixed convective heat transfer to flexible viscosity nanofluid over a radially elongated convective exterior with temperature dependent heat source and Arrhenius activation energy

Purpose This study aims to explore the collective influence of several factors, namely, thermal radiation, Brownian motion, magnetic field and variable viscosity parameter, on the boundary layer flow, heat and mass transfer of an electrically steering nanofluid over a radially stretching exterior subjected to convective heating. In addition, the impacts of thermal and solutal buoyancy forces and activation energy are taken into account. The enlarging velocity is assumed to vary linearly with radial distance. Design/methodology/approach Through the similarity transformation technique, the governing highly nonlinear partial differential equations are transformed into a set of nonlinear ordinary differential equations, which are then numerically solved using the Runge–Kutta–Fehlberg method with a shooting technique. Findings Graphical depictions are provided to analyze the velocity, temperature and nanoparticle concentration fields under the influence of various pertinent parameters. Furthermore, local skin friction, local Nusselt and Sherwood numbers are quantitatively presented and discussed. A comparison with previous results demonstrates good agreement. Originality/value This study uniquely integrates multiple factors influencing boundary layer flow in electrically conducting nanofluids, offering a nuanced understanding of heat and mass transfer over radially stretching surfaces. By using advanced numerical methods, it provides valuable insights and quantitative data that can inform practical applications in engineering and materials science.

A Digital Mental Health Solution to Improve Social, Emotional, and Learning Skills for Youth: Protocol for an Efficacy and Usability Study.

The COVID-19 pandemic has exposed a devastating youth mental health crisis in the United States, characterized by an all-time high prevalence of youth mental illness. This crisis is exacerbated by limited access to mental health services and the reduction of mental health support in schools. Mobile health platforms offer a promising avenue for delivering tailored and on-demand mental health care. To address the lack of youth mental health services, we created the Science Technology Engineering Math and Social and Emotional Learning (STEMSEL) study. Our aim was to investigate the efficacy of a digital mental health intervention, Neolth, in enhancing social and emotional well-being, reducing academic stress, and increasing mental health literacy and life skills among adolescents. The STEMSEL study will involve the implementation and evaluation of Neolth across 4 distinct phases. In phase 1, a comprehensive needs assessment will be conducted across 3 diverse schools, each using a range of teaching methods, including in-person, digital, and hybrid modalities. Following this, in phase 2, school administrators and teachers undergo intensive training sessions on Neolth's functionalities and intervention processes as well as understand barriers and facilitators of implementing a digital mental health program at their respective schools. Phase 3 involves recruiting middle and high school students aged 11-18 years from the participating schools, with parental consent and student assent obtained, to access Neolth. Students will then be prompted to complete an intake questionnaire, enabling the customization of available modules to address their specific needs. Finally, phase 4 will include a year-long pre- and posttest pilot study to rigorously evaluate the usability and effectiveness of Neolth in addressing the mental health concerns of students across the selected schools. Phase 1 was successfully completed in August 2022, revealing significant deficits in mental health resources within the participating schools. The needs assessment identified critical gaps in available mental health support services. We are currently recruiting a diverse group of middle and high school students to participate in the study. The study's completion is scheduled for 2024, with data expected to provide insights into the real-world use of Neolth among the adolescent population. It is designed to deliver findings regarding the intervention's efficacy in addressing the mental health needs of students. The STEMSEL study plays a crucial role in assessing the feasibility and adoption of digital mental health interventions within the school-aged youth population in the United States. The findings generated from this study have the potential to dismantle obstacles to accessing mental health assistance and broaden the availability of care through evidence-based strategies. DERR1-10.2196/59372.

Fruiting traits and seedling regeneration of the relict mangrove plant Nypa fruticans Wurmb in China

Abstract Nypa fruticans Wurmb is both a relic plant and a true mangrove. In China, wild populations are distributed only on Hainan Island and face significant challenges in regeneration from seedlings. This study explored the underlying causes of recruitment limitation by examining seed morphological traits from three distinct populations (Haikou, Wenchang and Wanning) and analysing seed germination and seedling growth characteristics under varying conditions. The key findings are as follows: fruiting and seed-setting rates for N. fruticans were notably low, standing at only 21 and 40%, respectively. The Wanning population exhibited significantly higher rates compared to the other two populations. Under natural conditions, the germination and seedling emergence rates were also modest, at 36.58 and 22.99%, respectively. The germination and emergence rates of the Wanning population were significantly greater than those of the Haikou and Wenchang populations. Meanwhile, seeds from a single population did not differ in germination rates among three in situ N. fruticans habitats, but seedling emergence rates differed significantly. Optimal conditions for seed germination involved a light intensity of 60%, a salinity of 5‰ and a flooding time of 8 h/day. In natural settings, these three environmental factors fall short of the ideal conditions. The study underscores that light, salinity and flooding are primary factors contributing to the limitations in N. fruticans seedling recruitment. In addition to advocating increased investment in scientific research and technology to address seed source issues, we recommend heightened efforts in habitat restoration, in situ conservation and the optimization of relocation and field return strategies to bolster N. fruticans populations.

Digital and technological modernization of the world's largest West Siberian oil and gas production center

The article examines the results of digital and technological modernization of the oil and gas industry within the framework of the state program "Digital Economy 2017-2024" in the implementation of measures proposed by academic institutes of the Russian Academy of Sciences on the basis of a comprehensive scientific and technical program of a full innovation cycle, as well as the potential of exploratory and applied research to prepare a new state program "Data Economy" for the period up to 2030 of the year. The activities are a set of interrelated scientific, technical, digital solutions and innovative technologies that ensure the achievement of goals, developed with the leading participation of the Institute of Oil and Gas Problems of the Russian Academy of Sciences and the Institute of Oil and Gas Geology and Geophysics named after. A. A. Trofimuk SB RAS, program “Digital and technological modernization of the world’s largest West Siberian oil and gas production center.” The main goal of scientific research for the oil and gas economy of big geodata is the creation and implementation of digital modeling technologies, the development of ecosystems, computing platforms and digital twins of oil and gas assets, and the transportation of hydrocarbons to existing and newly created petrochemical clusters in order to develop the domestic market for their complete processing into products with high added value and strengthening the digital leadership of Russian energy companies. The key factor hindering the innovative development of the Russian oil and gas complex is the lack of high-performance computing systems. The main oil and gas tasks that require the involvement of supercomputers with peta- and exascale performance levels (1015 and 1018 floating point operations per second, respectively) include the tasks of managing the “digital ecosystem” of the world’s largest West Siberian oil and gas production center and unique oil and gas fields in the real time. The development of the digital ecosystem is proposed to be formed on the basis of platform solutions and comprehensive scientific and technical programs and projects of a full innovation cycle. The main problems in the sphere of creating a digital energy economy of big data have been identified: an acute shortage of personnel with digital competencies in the field of oil and gas production, specialists in opticalization, multisensorization, supercomputing, cybersecurity and petrorobotics.

Development of national infrastructure for training specialists in the specialty «Information and Measurement Technologies»

The development of National Metrological Systems is important for supporting scientific progress, innovation, technology, and business competitiveness in each country. This requires professionals who can work in all sectors of the economy. The shortage of qualified workers and the need for continuous development in the field of metrology are still felt in many countries around the world. The issue of the development and functioning of the national infrastructure for training and advanced training of specialists in the specialty «Information and measurement technologies» is considered in the article. The structure of higher and postgraduate education in Ukraine is described. It is established that personnel additional training or retraining is widespread in scientific institutions of National Metrological Systems. Continuous training and advanced training of metrological personnel in the field of legal and applied metrology, as well as in certain types of measurements, is a necessary reality today. The place and role of SE «Ukrmetrteststandart» in the National Metrological System of Ukraine as an institution that disseminates knowledge and technologies in the field of metrology was determined.

The Impact of Augmented Reality Storybooks on Children’s Reading Comprehension and Motivation

While existing literature extensively explores the application of augmented reality (AR) technology in science, technology, engineering, and mathematics (STEM) fields and higher education, research on its use in children’s reading remains relatively limited. This research gap urgently needs to be addressed, particularly in understanding how AR can enhance children’s reading comprehension, story retelling, and reading motivation. To address this gap, this study examined the effects of AR Chinese picture storybooks on second-grade students’ reading comprehension, story retelling, and reading motivation. A quasi-experimental design was employed with 60 second-grade students from a primary school in central China, where 30 students used AR storybooks and 30 used traditional paper storybooks. The results indicated that students who used AR storybooks demonstrated better reading comprehension, particularly implicit comprehension, than those who used paper storybooks. However, there was no significant difference between the two groups in explicit comprehension. Additionally, the AR storybook group outperformed the paper storybook group in both story retelling and reading motivation. These findings suggest that AR technology can create more interactive and immersive reading experiences, positioning AR as a promising tool for enhancing literacy development in young learners.

Global mobility of the recent STEM postdoctoral workforce registered in ORCID

Abstract Postdoctoral researchers contribute to scientific, technological, and societal innovations under the supervision of academic faculty and domain experts. Their international movements facilitate the advancement and diffusion of knowledge and thus are important for research and development. To understand postdoctoral mobility at a global scale, this paper analyzes self-reported career trajectories of postdoctoral researchers by leveraging Open Researcher and Contributor ID (ORCID), focusing on five STEM fields: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Engineering, and Physical Sciences. The U.S. and European countries are major destinations for the first postdoctoral position across the selected fields, and three Asian countries – China, Japan, and the Republic of Korea – also attract postdoctoral researchers in Chemical Sciences and Engineering. Gender differences are observed for some specific cases mainly due to the tendency that female postdoctoral researchers are more likely to stay in a single country or less likely to move to the U.S. for the second postdoctoral position compared to male postdoctoral researchers. The results would be leveraged to design science and technology policies for postdoctoral researchers in consideration of additional factors, such as culture and language. Peer Review https://www.webofscience.com/api/gateway/wos/peer-review/10.1162/qss_a_00341

Magnitude of Psychological Distress Among Medical and Non-Medical Students During the Late Phase of the COVID-19 Pandemic in West Bengal: A Cross-Sectional Study

Background: COVID-19 pandemic led to drastic changes worldwide affecting mental health of students. This study aimed to assess psychological distress due to COVID-19 in students during the late phase of pandemic and to establish correlation of academic course, socio-demographics, and knowledge-attitude-practices (KAP) with depression and anxiety. Methods: A cross-sectional study was conducted in Kolkata, from March to April 2022 among undergraduate medical students and undergraduate students from engineering and general science colleges, via purposive and snowball sampling. Survey questionnaire was circulated via Google forms through social media. It included Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Fear of COVID-19 scale 2020, KAP regarding COVID-19 and socio-demographics. Data were analyzed using SPSS(Version 22.0) by estimating mean, standard deviation, median, interquartile range, and displayed by charts and tables. Mann-Whitney U test/non-parametric ANOVA and Chi-square tests were used for drawing statistical inferences. P-value of <0.05 was considered significant. Results: A total of 421 responses were included: 219 medical and 202 non-medical students. Most participants were male (58.67%). Prevalence of depression was 58.42% among non-medical students and 81.73% among medical students. Prevalence of anxiety was 50.99% among non-medical students and 76.25% among medical students. Medical students had significantly better scores for knowledge and attitude (p=0.001 in both). Anxiety was influenced by residence (p=0.018), mode of travel (p=0.012), and having relatives or friends affected by COVID-19 (p=0.03). Conclusion: High prevalence of depression and anxiety among college students, especially medical students, highlights the need for student wellness activities and better mental health services in colleges across India.