Professor Of Science Research Articles

The Impact of ChatGPT for Enhancing Knowledge Management in University Libraries

This study examines the integration of ChatGPT into university libraries to enhance knowledge management practices. Employing a qualitative case study approach, twelve respondents from six universities, including Library and Information Science (LIS) and Information Technology (IT) professionals, were interviewed using a semi-structured questionnaire. The research explores the processes, user experiences, challenges, and perceived benefits of ChatGPT in these academic settings. Findings indicate that ChatGPT significantly improves user interactions by providing a more intuitive and accessible information retrieval interface. The study also highlights the critical role of interdisciplinary collaboration between LIS and IT professionals in successfully implementing ChatGPT, which aligns with existing literature emphasizing user-centric design in knowledge management. Challenges such as data privacy and ongoing system refinement were identified, underscoring the need for robust security measures and continuous improvement. The study concludes that while ChatGPT offers considerable benefits in enhancing knowledge management and user interaction, it requires careful integration and ongoing management to realize its full potential. Future research should broaden the scope of institutions studied and explore longitudinal impacts to enhance generalizability and understand long-term effects.

Boris N. Kholtsov (1861–1940): outstanding urologist, scientist, and teacher. To the 100th anniversary of the start of employment in the Urological Clinic of the Leningrad State Institute for Advanced Training of Doctors

This article is dedicated to outstanding clinical scientist Professor B.N. Kholtsov (1861–1940). The main stages of his scientific, clinical, and teaching activities and his scientific achievements in the development of novel methods for treating diseases of the urinary and male genital organs are presented. He was the first to propose a two-stage adenomectomy technique, an original method of urethral resection in case of stricture, and developed a surgical treatment method for contracture of the bladder neck. The role of Kholtsov in the training of urologists at the Department of Urology of the Leningrad State Institute for Advanced Training of Doctors, which he headed in 1926–1940, is shown. Kholtsov was a talented clinician, scientist, teacher, and innovator, whose main ideas remains in demand today.

Fairness, tika and political science in Aotearoa New Zealand: Some “inconvenient evidence”

This article is a rejoinder to Annie Te One and Maria Bargh’s article, published in the previous edition of The Australian Journal of Indigenous Education, exploring whether the political science discipline in Aotearoa New Zealand is keeping pace with change with respect to Māori politics content in university political science programs, the number of Māori employed in the political science profession and the content of New Zealand's Political Science journal. While acknowledging the importance of their case, an assessment of the empirical evidence and further analysis of the data and the methods used by Te One and Bargh refutes their allegations in relation to all three issues. As one of the co-editors of Political Science, I note that, from 2012 to 2022, the acceptance rate of articles on Māori politics was 91.7% and that of Māori authors submitting on a Māori topic was 100%. Recognition and change are underway.

Unpacking the role of AI ethics online education for science and engineering students

BackgroundAs artificial intelligence (AI) technology rapidly advances, it becomes imperative to equip students with tools to navigate through the many intricate ethical considerations surrounding its development and use. Despite growing recognition of this necessity, the integration of AI ethics into higher education curricula remains limited. This paucity highlights an urgent need for comprehensive ethics education initiatives in AI, particularly for science and engineering students who are at the forefront of these innovations. Hence, this research investigates the role of an online explicit-reflective learning module in fostering science and engineering graduate students' ethical knowledge, awareness, and problem-solving skills. The study’s participants included 90 graduate students specializing in diverse science and engineering research tracks. Employing the embedded mixed-methods approach, data were collected from pre- and post-intervention questionnaires with closed-ended and open-ended questions.ResultsThe study's results indicate that the online explicit-reflective learning module significantly enhanced students' knowledge of AI ethics. Initially, students exhibited a medium–high level of perceived ethical awareness, which saw a modest but statistically significant enhancement following the participation. Notably, a more distinct increase was observed in students' actual awareness of ethical issues in AI, before and after the intervention. Content analysis of students’ responses to the open-ended questions revealed an increase in their ability to identify and articulate concerns relating to privacy breaches, the utilization of flawed datasets, and issues of biased social representation. Moreover, while students initially displayed limited problem-solving abilities in AI ethics, a considerable enhancement in these competencies was evident post-intervention.ConclusionsThe study results highlight the important role of explicit-reflective learning in preparing future professionals in science and engineering with the skills necessary for ethical decision-making. The study highlights the need for placing more emphasis not only on students’ ability to identify AI-related ethical issues but also on their capacity to resolve and perhaps mitigate the impact of such ethical dilemmas.

Developing a module on the care of LGBTQIA+ individuals for health professionals: Research protocol.

Lesbian, Gay, Bisexual, Transgender, Queer, Intersex and Asexual (LGBTQIA+) people struggle to identify a healthcare service that understands their problems and needs. Additionally, healthcare professionals also find it difficult to care for LGBTQIA+ as very little is studied or heard about management. The article presents a protocol for a pilot study aimed at the development of an LGBTQIA+ care curriculum for health science professionals. The study includes Phase I: The development of a curriculum based on a literature review and focus group discussion among LGBTQIA+ individuals, and Phase II: Pilot testing of LGBTQIA+ care curriculum. The study outcome will reflect the improvement in the knowledge of healthcare professionals on LGBTQIA+ care.

Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms

Generative Artificial Intelligence (AI) models serve as powerful tools for organizations aiming to integrate advanced data analysis and automation into their applications and services. Citizen data scientists—individuals without formal training but skilled in data analysis—combine domain expertise with analytical skills, making them invaluable assets in the retail sector. Generative AI models can further enhance their performance, offering a cost-effective alternative to hiring professional data scientists. However, it is unclear how AI models can effectively contribute to this development and what challenges may arise. This study explores the impact of generative AI models on citizen data scientists in retail firms. We investigate the strengths, weaknesses, opportunities, and threats of these models. Survey data from 268 retail companies is used to develop and validate a new model. Findings highlight that misinformation, lack of explainability, biased content generation, and data security and privacy concerns in generative AI models are major factors affecting citizen data scientists’ performance. Practical implications suggest that generative AI can empower retail firms by enabling advanced data science techniques and real-time decision-making. However, firms must address drawbacks and threats in generative AI models through robust policies and collaboration between domain experts and AI developers.

Analysis of the Use of Information and Communication Technologies (ICT) Among Health Sciences Professionals

The Information and Communication Technologies (ICTs) are the revolution of the XXI century, which allows doctors to be in immediate contact with the international scientific community, providing common professional projects and reviewing specific health situations, without intermediaries. However, studies specifically analyze the scope this type of developments have on the medical profession, on the attitude and knowledge of the patients or the relationship between them. The purpose of this study was to design a tool to evaluate the use of ICT in the field of medical professionals and influence in their clinical practice. To do this we have chosen one of the most common problems in the field of health which is the problem of pain. Through a questionnaire filled out by medical professional whose clinical activity is related to the treatment of pain, some aspects of the influence of ICT are explored in the continuous training of medical and clinical practice.

A pan-Europe comparative review of allied profession roles in cardiac science

Abstract Introduction Over the last 75 years, Cardiac Science (CS) has evolved into a widely practised Allied Profession (AP) throughout Europe. Despite this prominence, there are limited comparative works on AP titles, regulation, scope of practice (SoP) and training routes. The recognition of CS as a profession in the United Kingdom dates from 1948 when the Society for Cardiac Science and Technology (SCST) was established. In the UK, the AP role has evolved into Cardiac Physiologists with education at bachelor’s degree level and Clinical Scientists at master’s level. The SoP has also developed over time, leading to more advanced training and practice. Similar progression in professional titles, SoP, education and training routes also occurred in other European countries. Purpose To compare Allied Professions in Cardiac Science (APCS) including professional nomenclature, regulation, education, SoP, and pan-European identity. Methods Data were collected from November 2023 to January 2024. European and country databases were scrutinised to determine nomenclature, professional status, regulation, and educational requirements. Online translation was used when information was not available in English. Results The analysis of databases revealed 15 APCS roles (Table 1). In 60% of the countries, the role is officially recognised by a professional body that provides advocacy, education, training, and defines SoP (Figure 1). Moreover, 47% of countries operate a mandatory licensing or registration scheme. In 33% of countries, APCS roles are incorporated within the Biomedical Science profession. In the remaining countries, nine alternate titles are used to describe the discipline. In most cases (66%), education is at bachelor’s level, while in others, particularly where recognition is more limited, it is at a vocational level. In four countries (Austria, Ireland, Iceland, and The Netherlands), SoP is broadly in line with the UK, covering electrocardiography, echocardiography, haemodynamics for invasive procedures, implantable devices, and electrophysiology. Conversely, in other countries SoP varies and can include nuclear medicine (Sweden and Denmark) or perfusion and respiratory (Italy and Portugal). Some countries restrict SoP to defined roles such as pacemaker or echo technicians (Spain, Luxembourg, and Switzerland). Notably, Finland, France, and Norway, as well as most Eastern European countries do not recognise APCS roles. Conclusion While APCS roles are widely acknowledged in Europe, they lack visibility compared to other health professions. The variability in professional titles, education, and SoP constrain the development of a unified identity. Collaborative works connecting APCS roles across Europe may enhance identity, improve quality of care and raise the profile of this discipline.

A modular inquiry-based semester theme that integrates data science education and bioinformatics in protein structure function courses.

With an exponential growth in biological data and computing power, familiarity with bioinformatics has become a demanding and popular skill set both in academia and industry. There is a need to increase students' competencies to be able to take on bioinformatic careers, to get them familiarized with scientific professions in data science and the academic training required to pursue them, in a field where demand outweighs the supply. Here we implemented a set of bioinformatic activities into a protein structure and function course of a graduate program. Concisely, students were given hands-on opportunities to explore the bioinformatics-based analyses of biomolecular data and structural biology via a semester-long case study structured as inquiry-based bioinformatics exercises. Towards the end of the term, the students also designed and presented an assignment project that allowed them to document the unknown protein that they identified using bioinformatic knowledge during the term. The post-module survey responses and students' performances in the lab module imply that it furthered an in-depth knowledge of bioinformatics. Despite having not much prior knowledge of bioinformatics prior to taking this module students indicated positive feedback. The students got familiar with cross-indexed databases that interlink important data about proteins, enzymes as well as genes. The essential skillsets honed by this research-based bioinformatic pedagogical approach will empower students to be able to leverage this knowledge for their future endeavours in the bioinformatics field.

TA: Collaborating on Diacritical & Competent AI Art – Part 2

In this second part of this two-part interview, AI-artist TA talks to us about his understanding and experience of AI-art interacting with the world. TA discusses different ways AI-art generation both creates and requires its own unique knowledge basis, and the need for human touches to take that knowledge and make it into a diacritical work of art. He discusses the novel challenges AI-art poses to cultural and social boundaries. TA’s extensive experience creating artwork for scientific projects further guides his discussion of how AI-art and professional science research intersect, both artistically and within academic publications. TA concludes the interview with a discussion of AI replication, artistry, and the value of AI-art.

Intrinsic and instrumental care in pen pal letters: Recognizing care in STEM classrooms

AbstractStudies of both professional science practice and children's science learning show that care is not merely ancillary to disciplinary work but a core and generative constituent of science practice. In science education research, however, students' care is often overlooked. In this paper, we describe the expression of care across two STEM classrooms (6th and 9th grade) studying biology and ecology and participating in a pen pal exchange. We analyze artifacts from the pen pal exchange as well as students' retrospective interviews and written reflections. Two ways of expressing care surfaced in students' letters: caring for guppies and caring for pen pals. We describe each form of care using examples from our data. We find that students' care for guppies and pen pals was both instrumental (in service of their investigations) and intrinsic (positioning guppies and pen pals as inherently valuable). We then connect these findings to studies of care in children's science learning and in professional science. We discuss methodological and practical implications for recognizing and analyzing how students' care manifests in classrooms and for designing learning activities that cultivate care.

Bee monitoring by community scientists: comparing a collections-based program with iNaturalist.

Bee monitoring, or widespread efforts to document bee community biodiversity, can involve data collection using lethal (specimen collections) or non-lethal methods (observations, photographs). Additionally, data can be collected by professional scientists or by volunteer participants from the general public. Collection-based methods presumably produce more reliable data with fewer biases against certain taxa, while photography-based approaches, such as data collected from public natural history platforms like iNaturalist, can involve more people and cover a broader geographic area. Few efforts have been made to quantify the pros and cons of these different approaches. We established a community science monitoring program to assess bee biodiversity across the state of Pennsylvania (USA) using specimen collections with nets, blue vane traps, and bowl traps. We recruited 26 participants, mostly Master Gardeners, from across the state to sample bees after receiving extensive training on bee monitoring topics and methods. The specimens they collected were identified to species, stored in museum collections, and the data added to public databases. Then, we compared the results from our collections to research-grade observations from iNaturalist during the same time period (2021 and 2022). At state and county levels, we found collections data documented over twice as much biodiversity and novel baseline natural history data (state and county records) than data from iNaturalist. iNaturalist data showed strong biases toward large-bodied and non-native species. This study demonstrates the value of highly trained community scientists for collections-based research that aims to document patterns of bee biodiversity over space and time.

Data-driven prediction on critical mechanical properties of engineered cementitious composites based on machine learning

The present study introduces a novel approach utilizing machine learning techniques to predict the crucial mechanical properties of engineered cementitious composites (ECCs), spanning from typical to exceptionally high strength levels. These properties, including compressive strength, flexural strength, tensile strength, and tensile strain capacity, can not only be predicted but also precisely estimated. The investigation encompassed a meticulous compilation and examination of 1532 datasets sourced from pertinent research. Four machine learning algorithms, linear regression (LR), K nearest neighbors (KNN), random forest (RF), and extreme gradient boosting (XGB), were used to establish the prediction model of ECC mechanical properties and determine the optimal model. The optimal model was utilized to employ SHapley Additive exPlanations (SHAP) for scrutinizing feature importance and conducting an in-depth parametric analysis. Subsequently, a comprehensive control strategy was devised for ECC mechanical properties. This strategy can provide actionable guidance for ECC design, equipping engineers and professionals in civil engineering and material science to make informed decisions throughout their design endeavors. The results show that the RF model demonstrated the highest prediction accuracy for compressive strength and flexural strength, with R2 values of 0.92 and 0.91 on the test set. The XGB model outperformed in predicting tensile strength and tensile strain capacity, with R2 values of 0.87 and 0.80 on the test set, respectively. The prediction of tensile strain capacity was the least accurate. Meanwhile, the MAE of the tensile strain capacity was a mere 0.84%, smaller than the variability (1.77%) of the test results in previous research. Compressive strength and tensile strength demonstrated high sensitivity to variations in both water-cement ratio (W) and water reducer (WR). In contrast, flexural strength exhibited high sensitivity solely to changes in W. Conversely, the sensitivity of tensile strain capacity to input features was moderate and consistent. The mechanical attributes of ECC emerged from the combined effects of multiple positive and negative features. Notably, WR exerted the most significant influence on compressive strength among all features, whereas polyethylene (PE) fiber emerged as the primary driver affecting flexural strength, tensile strength, and tensile strain capacity.

Thermal spray coatings on high-temperature oxidation and corrosion applications – A comprehensive review

In high-temperature boiler operations, conventional steels and alloys grapple with the formidable challenges posed by oxidation and corrosion. Prolonged exposure to extreme thermal conditions exacerbates these issues, progressively diminishing operational efficiency. Surface treatment emerges as a pivotal strategy for safeguarding materials against deterioration while optimizing component performance cost-effectively. Recent attention has honed on surface coatings as a means to combat hot corrosion in boiler steels. Thermal coating, electroplating, and other metallurgical techniques are widely embraced for surface modification, with composite coatings gaining traction for bolstering metallurgical, mechanical, and corrosion resistance properties. This review, unlike any other, takes a comprehensive approach to exploring various thermal spraying methods and their applications, ensuring a robust understanding of the subject matter. Beyond a mere compilation of existing literature, this review identifies emerging trends and technologies, offering fresh insights and interpretations. In this work, 84 articles were critically evaluated for current research, discerning strengths, weaknesses, and avenues for future research on thermal spray coatings on high-temperature oxidation and corrosion. This incisive approach promises to enrich the knowledge base of researchers, scholars, and professionals in materials science, metallurgy, and industrial engineering, facilitating advancements in the field. By pinpointing research gaps in thermal spray coating, this study directs attention toward areas ripe for further investigation, fostering continued innovation and progress.

Evaluating the role of library science professionals in open access publishing: A systematic review of opportunities and challenges

Evaluating the role of library science professionals in open access publishing: A systematic review of opportunities and challenges

Library and Information Science Professionals’ Awareness, Competencies, Institutional Support, and Application of AI-Powered Tools in Research Writing in South-South, Nigerian Universities

This study investigates Library and Information Science professionals’ awareness, competencies, institutional support, and application of AI-powered tools in research writing in South-South Nigerian universities. Four research questions guide the investigation. The study adopted a mixed (two-step) approach, combining both quantitative and qualitative methods in a sequential exploration design. A 55-items researcher-developed structured questionnaire titled: Library and Information Science Professionals’ Awareness, Competences, Institutional Support and Application of AI Powered Tools in Research Writing Questionnaire (LISPACIAAIPTRWQ) with a reliability index of .804 determined using Cronbach’ reliability coefficient and semi-structured interview schedule were used for data collection. The questionnaire was designed using Google Doc platform and administered through major Nigerian Library Association (NLA) WhatsApp groups of the six states in South South zone of Nigeria – Akwa Ibom State, Bayelsa State, Cross River State, Delta State, Edo State and Rivers State. The interview was conducted through private WhatsApp calls to 20 respondents within the study area. A total of 133 targeted participants from twelve university libraries, one federal and one state university per state were involved in the study. The professional librarians considered in this study were those with at least LS/LIS degree and a year of work experience. This group of participants were purposively considered taking into account that they are professionals and expected to conduct cutting-edge research and publish findings in reputable journals for personal and professional growth. The collected data, analyzed descriptively using frequency counts, mean, and standard deviation were used to answer research questions. The interview responses were qualitatively analyzed using the narrative method in order to deeply understand the respondents’ experiences with AI-powered tools and to also reduce the impact of individual bias. The findings revealed a low awareness level and a relatively high level of competencies of LIS professionals towards AI and its applicability to research writing. It also revealed low institutional support and high application index of AI-powered tools to mostly library services but not research writing by LIS professionals. The study recommended that the university administration should encourage more research on AI and formulate a workable policy to guide its applicability, among others.

Psychometric Properties of a Persian Version of the Columbia Suicide Severity Rating Scale (C-SSRS) in Iranian Soldiers.

Objective: Suicide is an important health issue nearly all over the world. The Columbia Suicide Severity Rating Scale (C-SSRS) is a well-known instrument for suicide risk assessment. Our purpose in this study is to provide a Persian version of the C-SSRS and evaluate its psychometric properties in the Iranian military population, particularly suicide risk leveling characteristic of the C-SSRS. Method : For linguistic adaptation, we gathered opinions of an expert panel consisting of 23 professionals in mental health sciences. Furthermore, this version was administered to two groups of soldiers, one representing a sample of normal population (N = 338), while the other group comprised a sample of clinical population from a referral psychiatric hospital (N = 348) in Tehran, capital of Iran, from July 2021 until one year later. Besides the C-SSRS, the Beck Scale for Suicidal Ideation (BSSI), Beck Hopelessness Scale (BSS), and General Health Questionnaire 28 (GHQ28) were obtained from the participants. Correlation coefficients, internal consistency, and factor analysis were evaluated using the Statistical Package for the Social Sciences (version 23) software. Results: All items of the Persian version of the C-SSRS had acceptable content validity and face validity. This tool demonstrated high correlation coefficients with the BSSI (r = 0.73, P < 0.001) and BHS (r = 0.64, P < 0.001), but a low correlation coefficient with the GHQ28 (r = 0.22, P < 0.001). Specifically, the suicide risk level based on the C-SSRS had a high correlation with both the BSSI and BHS. Also, its internal consistency was satisfactory (Cronbach's alpha = 0.89). Furthermore, factor analysis revealed two factors that is consistent with suicidal ideation and suicidal behavior factors. Conclusion: Our results indicated acceptable validity and reliability for the Persian version of the C-SSRS, demonstrating its capability to classify suicide risk. It can be concluded that the ordinal suicide risk level (as red, orange, yellow and green) is a valid index for the application of the C-SSRS.

Research on Project-based Learning Approach with Local Characteristics in Electronic and Information Science Courses

The promulgation of the outline of the 14th Five-Year Plan for National Economic and Social Development of the People’s Republic of China and the Long-Range Objectives Through the Year 2035 has clarified the focus of work and put forward new requirements for the training of electronic and information science professionals. The teaching methods and levels can be optimized by focusing on the problems existing in the teaching process of electronic and information science courses, carrying out teaching reform, and putting forward the project-based learning approach with local characteristics.

Design Enhancement of Grid-Connected Residential PV Systems to Meet the Saudi Electricity Regulations

Distributed grid-connected photovoltaic (PV) generation explores several methods that produce energy at or near the point of consumption, with the aim of reducing electricity losses among transmission networks. Consequently, home on-grid PV applications have garnered increased interest from both scientific researchers and industry professionals over the last decade. Nevertheless, the growing installation of intermittent nature residential PV systems (R-PV) in low-voltage distribution networks is leading to more cautious considerations of technology limitations and PV design challenges. This conservative perspective arises from the standpoint of grid quality and security, ultimately resulting in the revocation of PV connection authorization. Hence, the design of R-PV systems should consider not only the specifications of the PV panels and load profiles but also the characteristics and requirements of the connected power grid. This project therefore seeks to enhance the design considerations of grid-connected PV systems, in order to help the end-users meet the grid codes set out by the Saudi Electricity Regulatory Authority (SERA). Since the maximum amount of generated power is essential for PV system optimization, the ratio of grid strength to maximum transmitted power was employed to ascertain the suitable capacity of the PV system, while the assessment of PV power output was utilized to specify the system size. Furthermore, a battery energy storage system (BESS) with a small size (~10% of the PV capacity) is employed to enhance the PV power quality for a dependable grid interconnection. The BESS is equipped with a versatile power controller in order to achieve the designed objectives. The obtained results show an essential advancement in terms of power quality and reliability at the customer’s connection point. Moreover, with the design assessment process, the low-voltage ride-through (LVRT) and power factor requirements can be met, in addition to the total harmonic distortion (THD) and frequency transient limitations. The proposed solution assists end-users in efficiently designing their own R-PV systems while ensuring quality and sustainability for authorized grid interconnection.

Talent management of library and information science professionals: A review of research and future directions

Background This study aims to review the extant literature on talent management with the objective of influencing library and information management by addressing the key facets of talent management, such as talent management strategies, importance of career development, evaluation of talented employees, and organizational resilience. Methodology Literature on the development of talent and career management was retrieved from various scholarly papers indexed in Scopus and Web of Science to have a meticulous literature review serving as the platform of the present study. In light of the authors’ observations, two models were developed. The extant literature provides precise information that talent management plays a decisive role in promoting organizational excellence invariably in all kinds of organizations in general and libraries in particular. Results This study provides constructive recommendations for the implementation of effective talent management and retention policies for library and information professionals. Moreover, this study adds immense value to the corpus of existing literature to set a platform for the augmentation of library management in futuristic vision. Conclusion This study provides constructive recommendations to policy makers and library administrators to foster talented employees for excelling library and information services for the next several decades.