Technological University Research Articles

Predicting the risk of pulmonary infection after kidney transplantation using machine learning methods: a retrospective cohort study.

Pulmonary infection is the most common and serious complication after kidney transplantation that affects the survival of the transplanted kidney and the quality of life of patients. This study aims to construct a machine learning model for predicting the risk of pulmonary infection after kidney transplantation. We recruited 857 kidney transplant recipients from January 1, 2016, to December 31, 2021, in the Department of Nephrology, the First Affiliated Hospital of the University of Science and Technology of China. First, the distribution of baseline characteristics between patients with and without postoperative pulmonary infections was analyzed. Subsequently, six machine learning models were constructed to predict the risk of postoperative pulmonary infections. Finally, these models were subjected to external validation using an independent cohort. The performance of themodels was evaluated by area under the receiver operating characteristic curve (AUC). Among kidney transplant recipients, a total of 186 individuals developed pneumonia, with 144 cases in the training cohort and 42 cases in the external validation cohort. The AUC range of the six machine learning models for predicting the risk of postoperative pulmonary infection was 0.758-0.822 for the training cohort and 0.642-0.795 for the testing cohort. Among the models assessed, the gradient boosting machine demonstrated the most favorable predictive accuracy. Our study has developed a predictive model for assessing the risk of pulmonary infection after kidney transplantation, thereby providing a valuable foundation for the effective management of kidney transplant recipients.

Correlation of Impulse oscillometry system indices with conventional pulmonary function tests in patients with obstructive pulmonary ventilation dysfunction

Objective: To investigate the correlation between impulse oscillometry system examination indicators and conventional pulmonary ventilation function. Methods: The pulmonary ventilation function data of 10 883 patients from January 1, 2020 to December 31, 2022 at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology were included. The one-second rate [ratio of forced expiratory volume in the first second (FEV1) to forced vital capacity (FVC)] measured as a percentage of the predicted value was ≥92% for the control group (n=3 478) and <92% for the pulmonary obstruction group (n=7 405). The obstruction group was subdivided into five groups according to the degree of pulmonary dysfunction: mild group (n=3 938),moderate group (n=1 142),oderate-severe group (n=917),severe group (n=737),and extremely severe group (n=671). Conventional pulmonary ventilatory function FVC, FEV1, one-second rate, and forced expired flow at 50% of FVC (MEF50%), forced expired flow at 75% FVC (MEF25%), maximal mid-expiratory flow (MMEF), peak expiratory flow (PEF), and pulsed oscillation pulmonary function test were detected in both groups of patients. Impedance at 5 Hz (Z5) means total respiratory resistance, resistance at 5 Hz (R5) means total airway resistance, reactance at 5 Hz (X5) indicates the elastic recoil of the peripheral airways, and resistance at 20 Hz (R20) represents resistance of the central airways. R5-R20 reflects resistance in the small airways. Additionally, peripheral resistance (Rp), respiratory resonance frequency (Frex), and area under the reactance curve (Ax) were also measured. Correlation between the indicators of the two groups and the sensitivity and specificity of the impulse oscillometry system parameters for the diagnosis of obstructive pulmonary ventilation dysfunction were analyzed. Results: Pulmonary function force expiratory volume in the first second as a percentage of predicted value (FEV1%Pre) [80.10 (54.95,97.10)%],one-second rate [62.43(48.67, 67.02)%],MEF50% [1.33 (0.62,1.97)L/s],MEF25% [0.28 (0.17,0.41)L/s], MMEF [0.85 (0.43,1.29)L/s],and PEF [5.64 (3.73,7.50)]L/s in the obstruction group were significantly lower than those in the control group (P<0.05). The differences within the subgroups of the obstruction group were also significant (P<0.05). Pulsed oscillation Z5 [0.42 (0.33,0.55)kPa·L-1·s-1],Rp [0.25 (0.20,0.45)kPa·L-1·s-1], R5 [0.39 (0.31,0.49)kPa·L-1·s-1], R20 [0.28 (0.24,0.34)kPa·L-1·s-1], R5-R20 [0.09 (0.05,0.17)kPa·L-1·s-1],Frex [16.32 (13.07,20.84)Hz], and Ax [0.67 (0.28,1.64)] indices in the obstruction group were significantly higher than those in the control group. X5 [-0.14 (-0.23, -0.10)kPa·L-1·s-1] was significantly lower than that in the control group (P<0.05). Z5, Rp, X5, R5, R5-R20, Frex, and Ax were statistically significant between different degrees of obstruction in the obstruction group (P<0.05). The impulse oscillometry system parameters Z5, Rp, R5, R20, R5-20, Frex, and Ax were negatively correlated with the indices of conventional pulmonary ventilation (r=-0.21-0.68, P<0.05), and the parameter X5 was positively correlated with the indices of conventional pulmonary ventilation (r=0.41-0.68, P<0.05). The pulsed oscillation pulmonary function test parameters X5 (58.60%-95.68%) and Ax (57.08%-98.06%) presented the best sensitivity; X5 (86.29%-98.82%), Frex (86.69%-94.71%), and Ax (88.10%-98.53%) displayed the best specificity; and R20 presented the worst sensitivity and specificity. The sensitivity and specificity were slightly better in female patients than in male patients. Conclusion: The technical parameters of the impulse oscillometry system showed significant correlation with relevant indices of conventional pulmonary ventilation function detection. These well reflect the changes of different degrees of pulmonary ventilation function and have greater significance for reference in evaluating the degree of pulmonary function impairment.

Integrated care for older people improved intrinsic capacity in elderly patients: a case control study

ObjectivesObserve the effect of integrated care for older people on intrinsic capacity in elderly patients.MethodsSixty elderly patients from department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between June 2021 and December 2021 were selected and divided into control group and intervention group with 30 patients in each group using random sampling method. Two groups implement routine care, and the intervention group implement integrated care by a “hospital-community-family” multidisciplinary team. After 12 weeks of intervention, the differences in frailty, cognition, depression scores, comprehension social support scores, and World Quality of Life Scale scores were compared between the two groups.ResultsBefore intervention, there was no significant difference in the grip strength, step speed, frailty scores, cognition, depression scores, social support and quality of survival between the control group and the intervention group. After intervention, grip strength and depression scores improved both in the control group and the intervention group, but there was no difference between the two groups. Cognitive scores, comprehension social support and quality of survival scores improved only in the intervention group, while only the cognitive ability showed significant differences between the intervention group and the control group after 12 weeks of intervention (P<0.05).ConclusionsIntegrated care for older people intervention can help to improve the intrinsic capacity of the patients, especially cognitive abilities.

The Effect of Nomophobıa on Anxıety and Qualıty of Lıfe in Physıotherapy and Rehabılıtatıon Department Students

Objective. While smartphones provide convenience to individuals, they also cause many problems. One of these problems is smartphone addiction, known as nomophobia. The aim of our study is to investigate the impact of nomophobia on anxiety and quality of life among students in the Department of Physiotherapy and Rehabilitation.. Methods. The study included 211 students enrolled at Sakarya University of Applied Sciences, Department of Physiotherapy and Rehabilitation. Participants completed a data collection form to provide their demographic characteristics. They also completed the Turkish Nomophobia Scale to assess nomophobia levels, the Beck Anxiety Scale to evaluate anxiety levels, and the SF-36 Quality of Life Scale to measure their quality of life levels. Results. In our study, the nomophobia scale score was found to be 77.28. The distribution of the nomophobia scale according to the cut-off points is 30% mild, 45% moderate, and 25% extreme. We identified a statistically significant relationship between nomophobia and anxiety (p &lt; 0.05). Additionally, there was a statistically significant association between nomophobia and quality of life parameters, excluding vitality/energy, mental health, and social functioning (p &lt; 0.05). However, no statistically significant relationship was found between anxiety and quality of life. Conclusion. The anxiety levels of nomophobic individuals increase in parallel with their nomophobia, leading to a decrease in their quality of life. Necessary information should be provided and awareness should be raised in order to prevent nomophobia, which is especially common in the young population.

A Comprehensive Framework for Research-based Learning to Elevate Undergraduate Research

Objectives: This study proposes a comprehensive framework for Research-based Learning (RBL) that actively engages undergraduate students from diverse disciplines in collaborative research, and aims to enhance their problem-solving and research skills. Methods: RBL was introduced in the 2020-21 curriculum for six engineering branches at Thakur College of Engineering &amp; Technology (TCET), Mumbai, and was expanded to include three additional branches in 2023-24. It comprises four courses namely RBL1, RBL2, RBL3, and RBL4, spanning from the third to the final year. RBL activities were designed and implemented for over 4,300 students from 2020 to 2024. Findings: The outcomes of RBL activities were analyzed based on students’ achievements at the end of each semester. Application of the framework across different engineering branches for 4 years produced tangible outcomes in the form of an increase in in-house publications, participation in project competitions, and improved students' skills contributing to individual growth and institutional branding. The number of publications in TCET increased from 133 to 274 from 2022 to 2024. The total prize money received by students through participation in different project competitions amounted to INR 9.44 lakhs. The effectiveness of the framework is evaluated through online feedback surveys. A survey of 605 students consisting of 5 questions yielded 87.76% positive responses, while a survey of 83 teachers consisting of 9 questions showed positive feedback ranging from 90% to 96.4%. The successful research outcomes and positive feedback from students and teachers support the implementation of the framework in other institutions offering degree programs. Novelty: The RBL framework is integrated into the undergraduate engineering curriculum, providing time-bound achievements. It offers flexibility for online and offline use and is scalable for large groups of undergraduate students. Keywords: Research-based learning (RBL), Undergraduate research (UR), Research outcomes, Publications, Problem-solving skills

Model Construction of College Engineering Drawing Teaching System Based on Artificial Intelligence Network Technology

The integration of artificial intelligence (AI) in education, particularly in engineering drawing courses, enhances content richness and engagement, stimulating student enthusiasm and improving teaching quality. This paper examines the design of a multimedia teaching system incorporating virtual reality (VR) for engineering drawing. Key technologies such as graphics processing, 3D modeling, and dynamic databases are researched. Tools like Dreamweaver, Fireworks, SolidWorks, and 3DS MAX are used to create and integrate 3D models into web pages, forming a 3D model library. This library provides a flexible, content-rich, online learning environment that promotes self-study, enhances spatial imagination, and improves the quality of engineering drawing education. Establishing a virtual model library supports multimedia teaching and replaces traditional physical model rooms.

Comparison of current and proposed travel modes for students considering travelling and sustainable indicators

In the twenty-first century, global warming has become one of the severe challenges. Around one-fourth of the total carbon footprint is contributed by transport vehicles. It is crucial to provide alternative solutions to unsustainable transportation systems. This study compares the present travel modes of students of the Capital University of Science and Technology, Islamabad, with the proposed sustainable travel mode. A campus survey (N = 565) was conducted to understand travel choices, travel times, origin and destinations, and student preferences, considering university buses and private vehicles. A comparison was made between the travel time analysis of university bus users and non-bus users. A sustainability analysis has been conducted to evaluate the effects of the present travel modes on students and the proposed university bus transport system. Five main factors were compared: fuel consumption and associated fuel costs, carbon and vehicular emissions, traffic noise pollution, traffic congestion, and accident ratio. The results show that 38% of students commute by private cars and 18% by motorbikes. Around 25% of the students avoid university buses due to long travel times, and 30% prefer because their parents ask them. On average, university buses take 56.8 min, and non-bus transports take 38.8 min for one-way travel. If all students travel by university busses, they could be 86% more sustainable in fuel costs and carbon emissions than non-bus travel modes. These results give useful policy implications for providing sustainable travel alternatives to educational institutions.

Assessing Fintech Awareness and Knowledge Among Students at Selected Universities in Somalia

This study examines financial technology awareness among students at four Mogadishu universities (Jamhuriya University of Science and Technology, Banadir University, SIMAD University, and the University of Somalia), using a cross-sectional descriptive research design. The study utilized a structured questionnaire to evaluate 231 students’ understanding and familiarity with fintech concepts, focusing on demographic factors and perceived curriculum gaps. The study’s participants were diverse in gender, age, institution, major, and year of study. The majority were male (63%), with 78% aged between 20 and 25. The study reveals that students’ familiarity and understanding of fintech concepts like blockchain, smart contracts, neo- banking, crowdfunding, cloud computing, big data analytics, robo-advisors, and AI are low. This highlights significant gaps in students’ knowledge of critical areas digital finance, e-payments or e-banking. The study shows a moderate correlation between demographic factors and students’ fintech awareness, with 13.9% of variation explained by these factors. The overall model is statistically significant (F = 7.265, P &lt; 0.001), indicating that these factors collectively impact students’ knowledge and awareness of fintech. Gender, age, and university attended do not significantly influence fintech awareness, suggesting they are not major determinants. However, the study reveals that students’ awareness of fintech increases as they progress through their academic years, with certain majors showing higher levels of awareness. The study recommends universities incorporate fintech topics into their courses, develop accessible options, invest in resources, collaborate with fintech companies, strengthen industry partnerships, and offer cross-disciplinary electives.

Comparative Evaluation of Calcium Sources and their Mode of Use on Apple Production in Acidic Soil under High Density Plantation System

Apples grown in Kashmir province are extremely prone to deterioration, particularly in post-harvest storage. Calcium is amongst the vital mineral element deceiving apple fruit quality, predominantly in acid soils deficit in available calcium. Calcium in sufficient quantity helps to retain apple fruit firmness and reduces the occurrence of physiological disorders, it also plays essential role to improve yield and quality of produce. Modes of calcium application and its different doses on two apple varieties was tested to improve yield and quality at Ambri Apple Research Centre, Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir, India. The direct application of calcium to apple as spray is most effective method for escalating fruit calcium content and quality. Among sources and their mode of application calcium nitrate foliar application performed better than foliar application of calcium chloride in improving fruit quality and yield of Golden Delicious than Red Chief Camspur, whereas soil application of calcium nitrate showed least response to improve fruit quality and yield in both varieties under acidic soil atmosphere. Physiological loss in weight at 30 days and 60 days after harvesting was lower in foliar applied calcium than soil calcium application. The significant variation in total sugar content and TSS of apple fruits were observed in different calcium sources and their mode of application. Calcium nitrate foliar spray performed better than calcium chloride foliar spray in improving fruit quality. Our study did not find any adversity of dosage in plants whether applied to soil or directly to plant and we did observe better yields and quality at higher calcium doses. Among varieties Golden Delicious performed better than Red Chief Camspur. Results of research evidenced that preharvest calcium sprays increase yield, improved fruit quality and reduced its deterioration in post-harvest storage.

Correlation between Self-Efficacy and Psychosocial Well-Being among Students in Public Universities in the Upper Eastern Region of Kenya

The impact that psychological chal- lenges have on University students, their families, and society at large, are of worldwide significance. Govern- ment and non-governmental organizations have launched efforts to improve psychosocial well-being in response to this. Since attending college can be stressful, there is rising concern about the psychological chal- lenges that university students face. Examining the cor- relation between university students' self-efficacy and psychosocial well-being is likely to provide an overview on their capacity to handle difficult situations and pre- serve good mental health. Self-determination theory and cognitive behavior theory were incorporated into the study. Correlational study design and descriptive survey were applied. Using purposive and stratified random sampling, a study sample of 395 was selected from 34,009 respondents, which included university students, student counselors, and deans of students from Tharaka University, Meru University of Science and Technology, and Chuka University. A psychologi- cal test instrument for students and an interview sched- ule for student counselors and deans of students were used to gather data. The instruments were piloted in a university outside the research prior to administration. With 382 respondents providing data, the study's re- sponse rate was 96.7%. Data were discussed and sub- jected to both qualitative and quantitative analysis. While quantitative data was examined both descrip- tively and inferentially using the Statistical Package for Social Sciences version 27.0 computer software, quali- tative data was evaluated thematically. Frequency and percentages were employed as descriptive statistics, and Pearson's correlation was used to test hypotheses at the 95% significant level. The results of the study showed a strong and favorable correlation between psy- chological wellness and self-efficacy. Therefore, it is ad- vised that university administration implement meth- ods targeted at boosting students' self-efficacy to im- prove their wellbeing in coordination with other stake- holders. Encourage peer mentoring programs run by students so they can benefit from one other's experi- ences and develop useful problem-solving skills.

A Cross-sectional Survey to Assess the Risk Factors of Cardiovascular Disease among College Students

Abstract Introduction: Cardiovascular diseases (CVDs) are the number one cause of death globally which claim an estimated 17.9 million lives each year. It is a major cause of disability and premature death throughout the world and contributes substantially to the escalating costs of health care. Modification of risk factors has been shown to reduce mortality and morbidity in people with diagnosed or undiagnosed CVDs. Prior assessment is found to be helpful in predictions of absolute cardiovascular risks among young adults. Objectives: The objective of the study was to assess the risk factors of cardiovascular diseases among college students. Materials and Methods: A descriptive survey was conducted among 207 college students at Najath College of Science and Technology, Karuvarakundu, Kerala from October 10, 2019, to October 18, 2019. Convenient sampling method was used to select the samples. Structured risk factor assessment Pro forma and Biophysical measurements were used as tools. Result: The study identified 40.57% of students as at moderate risk and 5.31% were at high risk for developing cardiovascular diseases. The study reported that 6.2% of students were overweight, whereas 45% had elevated blood pressure. It was found that 64.25% of the students had a family history of chronic illnesses such as diabetes, hypertension, stroke, and obesity. The 8.21% of students were smokers out of these, 17.39% were using smokeless tobacco, whereas 31.88% were exposed to passive smoking and 12.56% of students were drinkers. In terms of physical activity, 62.31% of the students were sedentary. The food habits of 98.56% of students were nonvegetarian and 46.85% of them were consuming red meat. Conclusions: Periodic assessment and comprehensive health awareness would be helpful to modify unhealthy habits and minimize the risk of cardiovascular problems among the college students.

The Effects of Post-Earthquake Trauma Levels of Nursing Students on their Academic Motivation and Career Decisions.

This study was carried out to determine the effects of post-earthquake trauma levels of nursing students on their academic motivation and career decisions. The sample of this descriptive study consisted of 228 students studying at Gaziantep Islamic Science and Technology University, Department of Nursing. The data were collected using an online questionnaire created by the researchers. This online questionnaire form consists of seven questions about socio-demographic characteristics, and it also includes the Determination of Post-Earthquake Trauma Levels Scale, Academic Motivation Scale, and Career Decision Scale. SPSS 23.0 package program was used for the analysis of the data, and P < 0.05 was accepted for the level of significance. It was determined that the post-earthquake trauma level of the students was above the moderate level (63.49 ± 17.29) and that the extrinsic motivation-identified regulation, extrinsic motivation-external motivation, and intrinsic-knowledge levels were more affected by the earthquake (P < 0.05). In addition, it was determined that the mean Career Decision Scale score of the students (74.20 ± 17.35) was below the average. It was determined that post-earthquake trauma level had positive effects on intrinsic motivation-stimulation, extrinsic motivation, and amotivation, but had no effect on career decision.

Functional metal-organic frameworks derived electrode materials for electrochemical energy storage: a review.

Pristine metal-organic frameworks (MOFs) are built through self-assembly of electron rich organic linkers and electron deficient metal nodes via coordinate bond. Due to the unique properties of MOFs like highly tunable frameworks, huge specific surface areas, flexible chemical composition, flexible structures and a large volume of pores, they are being used to design the electrode materials for electrochemical energy storage devices. As per the literature, MOFs (including manganese, nickel, copper, and cobalt-based zeolitic imidazolate frameworks (ZIFs), University of Oslo (UiO) MOFs, Hong Kong University of Science and Technology (HKUST) MOFs and isoreticular MOFs (IRMOFs)) have attracted much attention in the field of supercapacitors (SCs)/batteries. According to their dimensionality such as 1D, 2D and 3D, pristine MOFs are mainly used as SC materials. Highly porous materials and their composites are capable for intercalation of metal ions (Na+/Li+). Moreover, the supramolecular features (π⋯π, C-H⋯π, hydrogen bond interactions) of redox stable MOFs provide better insight for electrochemical stability. So, this review provides an in-depth analysis of pure MOFs and MOF derived composites (MOF composites and MOF derived porous carbon) as electrode materials and also discusses their metal ion charge storage mechanism. Finally, we provide our perspectives on the current issues and future opportunities for supercapacitor materials.

Using marketing strategies to promote maternal health: an international students’ collaboration

Abstract Purpose About 1 in 8 birth parents experience symptoms of perinatal mood and anxiety disorders (PMADs). The purpose of this collaborative project was to create a social media deliverable to lower the risk of postpartum depression in pregnant and postpartum parents in Georgia, USA. Methods Using the SM 10-step model, Master of Public Health Students from Georgia Southern University (GSU), Georgia in collaboration with Creative Business students from Breda University of Applied Science (BUas), the Netherlands, designed an evidence-based SM product. They were mentored by public health and media faculty from both institutions. Roles and responsibilities according to the skill sets were divided, but briefly: students 1) identified a target audience; 2) conducted tertiary data collection; 3) set goals and objectives; 4) developed 4 P’s (product, price, place, and promotion) 5) developed marketing strategies.; 6) and used the strategy to create a specific social media deliverable. Results Utilizing the 10-step model social marketing strategy used state-of-the-art marketing and digital media techniques and evidence-based strategies to create a digital electronic booklet that focused on reducing the stigma associated with help seeking behaviors with the ultimate goal to reduce the incidence and prevalence of PMADs. The digital interactive booklet will be pilot tested in selected OBGYN offices and health departments in Southeast Georgia in July 2024. Conclusions This collaborative project demonstrates effective collaboration between disciplines from different world regions utilizing strengths from both teams: public health and digital media skills to create an SM product that will be utilized to promote social engagement among postpartum parents. Key messages • Students utilized social marketing strategies to create an electronic booklet to address postpartum depression using state-of-the-art digital media techniques and evidence-based strategies. • This collaborative project demonstrates effective collaboration between disciplines from different world regions and utilizes strengths from both teams.

Experts in promotion and prevention - The 100th Anniversary of Finnish public health nurse education

Abstract Issue/Problem Two key public health issues at present are mental health problems and obesity. Both typically begin before adulthood and once occurred, typically persist. Prevention would be important but also economically and humanely sensible. For this, competent experts in preventive work and health promotion are needed. Description of the problem Public health nurse education, originally known as health sister education, was initiated in Finland in 1924, by the Mannerheim League for Child Welfare. The six-month health sister education was targeted at nurses and began from the desire to focus not only on treating diseases but also on promoting health. In the 1940s, education was reformed and in the 1950s significantly expanded. In the 1970s, the professional title changed from ‘health sister’ to ‘public health nurse’. In 1987, the education was extended to 3 years, including the education of registered nurses. In 1992, the education was further extended to 3.5 years. By the beginning of the 21st century, education evolved into 4 years bachelor’s degree. Results In 2024, eighteen Universities of Applied Sciences provide public health nurse education in Finland. The 4-year Bachelor of Health Care in Public Health Nursing -degree (240 ECTS credits) also qualifies for a registered nurse. Nearly half of the education consists of clinical training. In addition, registered nurses can supplement their degrees by completing a one-year education (60 ECTS credits) that qualifies them as public health nurses. Lessons In Finland, approximately 700 new public health nurses graduate annually. They are trained to work independently as experts in preventive work, health promotion, and public health. Around 9,500 Finnish public health nurses work in settings such as maternity and child health clinics, school health services, occupational health care, and outpatient clinics. Key messages • Due to the overcrowding in many healthcare services providing treatment, educating experts in health promotion and disease prevention is crucial now and in the future. • By ensuring competent experts in health promotion and disease prevention, future healthcare services can continue to provide economically and humanely sensible and effective help for people.

7.M. Round table: A new lens on loneliness: leveraging the built environment for social health

Abstract Loneliness is a global issue impacting a third of all adults, with young adults (15-25 years) disproportionately affected. Prolonged loneliness has serious consequences for mental and physical health and should be addressed as a matter of urgency. The built environment, where we live, work, and socialise, is increasingly recognised as a significant factor influencing loneliness. However, existing interventions often focus on older adults and neglect the role of the built environments in promoting connectedness across the life course. To bridge this gap, we need interdisciplinary collaboration to understand how our environments and communities can mitigate loneliness. This workshop will explore the critical intersection of place and loneliness interventions. The three panellists bring unique interdisciplinary expertise on loneliness ranging from policy to intervention implementation. These three talks (10min each) will set the stage for a dynamic discussion (30min): 1. Nina Goldman, commissioned by the World Health Organization to undertake a global overview of national loneliness policies, will present findings on how national strategies integrate place-based strategies across sectors such as housing, transportation, and urban planning. 2. Mathias Lasgaard, leading researcher on loneliness interventions, will present the innovative ‘More Together’ (MoTo) project - a multifaceted intervention addressing loneliness in both young and older adults within the Silkeborg Municipality, Denmark. This presentation will contextualize MoTo within the broader landscape of targeted loneliness interventions. 3. Eric Schoenmakers, advisor of the national loneliness action program in the Netherlands, will introduce the “I BELONG” project, an international network dedicated to understanding the relationship between public spaces, loneliness, and effective interventions for young adults in the Netherlands. Key messages • We aim to stimulate a paradigm shift in the way we address loneliness by moving beyond individual-centred solutions to develop a more holistic and community-based approach. • We need more interdisciplinary collaboration to understand how our environments and communities can mitigate loneliness. Speakers/Panelists Nina Goldman University of Manchester, Manchester, UK Mathias Lasgaard Defactum, Central Denmark Region, Aarhus, Denmark Eric Schoenmakers Fontys University of Applied Sciences, Eindhoven, Netherlands

Patients’ experiences of racism in German inpatient healthcare

Abstract Background Racism is recognised as a social determinant of health. An evolving concern in research and policymaking has been the impact of racism in the healthcare system, particularly regarding the quality of healthcare and barriers for healthcare. Little is known about patients’ experiences of racism in hospitals and rehabilitation facilities in Germany and their coping strategies in dealing with racism. Methods As part of a joint project on racism in healthcare (RiGeV) funded by the Federal Ministry of Education and Research, twenty qualitative interviews and two group discussions with patients and their next of kin about their experiences in hospitals and rehabilitation facilities were conducted and analysed using the documentary method. Ethical approval for this study was obtained from the Ethics Committee of Fulda University of Applied Sciences. Results Interviews with patients and their next of kin revealed that the most significant experiences of racism in hospitals are attributions of dramatisation and exaggeration of pain, embedded in a general perception of not being taken seriously and/or being ignored. Patients try to avoid such experiences that compromise their trust and sense of security, as well as the quality of treatment they receive. Healthcare for refugees is impacted by structural barriers (AsylBLg) which jeopardise the healing process and represent a considerable psychosocial burden. Conclusions Recommendations for policies and practice include a mission statement for non-discriminatory treatment and the sanctioning of racism within healthcare institutions. A complaints office should manage implementation and offer support for affected patients. The topic of racism must be addressed in the training and further education of doctors and healthcare professionals. Patient trust in a safe and high-quality form of healthcare should be strengthened by addressing their complaints. Health care for refugees has to be improved. Key messages • Racism in German inpatient healthcare represents a considerable psychosocial burden for patients and impairs the quality of treatment they receive. • Policies for reducing racism inpatient healthcare have to be implemented.

5.B. Round table: Improving digital health literacy in the era of generative artificial intelligence

Abstract Improved access to generative Artificial Intelligence (AI) platforms and technologies has prompted greater awareness of their potential application in health communication. This workshop will examine this potential alongside the practical challenges and risks of using generative AI in health communication in the broader context of the European Union AI Act. The workshop will explore the implications for the concept of digital health literacy in ways that reduce or mitigate existing digital health inequities across and within Europe. Chatbots and conversational AI platforms such as ChatGPT have opened opportunities for people to find, understand and use health information in significantly different ways. Public health professionals are already using these technologies to simplify health and medical information and to make it available in different languages. AI assisted technologies are also being used to create interactive and engaging learning experiences that provide the public with real-time feedback and insights about their health as well as prompting and reinforcing actions they can take to improve health. These developments have fundamental implications for our understanding of digital health literacy and the methods we use to support people in optimising the potential benefits of AI. Different communities in Europe vary considerably in their - access to digital technology, - skills to discriminate the accuracy and reliability of information, and - trust and responsiveness to what digital technologies have to offer. Building these fundamental digital health literacy skills is a critical priority if we are to ensure that all people benefit equitably from the potential offered by AI. Those of us engaged in improving health literacy have an important role to play in influencing the future direction of AI in health communication, including and especially by engaging in research and development activities that build evidence of effectiveness and support the development of digital health literacy skills in parallel with the expansion of access to AI-assisted digital technologies. The workshop chairs will provide introductory and summary remarks, moderate the panel discussion, and facilitate audience participation in the workshop. The individual panel members will make 3-minute introductions to key issues from different perspectives on the emerging practical applications of generative AI in health communication as well as the implications for strategies to improve digital health literacy in different population groups. The panel is made up of individuals in different roles and at different career stages who can offer complementary perspectives on these issues. Following the presentations, the co-chair will present some follow-up questions to the Panel before engaging directly with the workshop attendees for an open but structured discussion scheduled to last for 30 minutes of the Workshop. Key messages • We will examine how generative artificial intelligence has opened new both new opportunities and risks in the ways people find, understand and use health information. • We will consider how we can optimise the benefits of generative AI in a way that is equitable through the development of digital health literacy within and between communities in Europe. Speakers/panelists Catherine Jenkins London South Bank University, London, UK Diane Levin-Zamir Tel Aviv University, Tel Aviv, Israel Christopher Le Inland Norway University of Applied Sciences, Innlandet, Norway Miguel Telo de Arriaga Direção-Geral da Saúde, Lisbon, Portugal

Editorial

Dear Readers, It gives me great pleasure to announce the tenth regular issue of 2024. I would like to thank all the authors for their sound research papers and the editorial board and our guest reviewers for their extremely valuable reviews and suggestions for improvement. These contributions and the generous support of the consortium members enable us to run our journal and maintain its quality. I would also like to thank our broader community for reading and incorporating sound J.UCS papers into their research. Still, I would like to expand our editorial board: If you are a tenured associate professor or above with a good publication record, please apply to join our editorial board. We are also interested in receiving high-quality proposals for special issues on new topics and emerging trends. In this regular issue, I am very pleased to introduce six accepted papers involving 17 authors from six different countries (Argentina, Brazil, Ecuador, Hong Kong, India, Saudi Arabia). &amp;Aacute;lex dos Santos Moura, F&amp;aacute;bio Gomes Rocha, and Michel S. Soares from Brazil propose in their research a recommendation tool based on information retrieval to assist developers in choosing the suitable microservices pattern to solve a given problem. In a collaborative research effort between Ecuador and Argentina, Gonzalo P. Espinel-Mena, Jos&amp;eacute; L. Carrillo-Medina, Eddie E. Galarza, and Mario Matias Urbieta discuss a systematic mapping of configuration management activities in software product line. Edward Kai Fung Dang, Robert Wing Pong Luk, and Qing Li from Hong Kong contribute to the forum for negative results with their study on word bigrams for pseudo-relevance feedback in information retrieval. Prateek Thakral and Yugal Kumar from India present in their work an improved water flow optimizer (IWFO) algorithm for cluster analysis that can address the issues of traditional and heuristic algorithms. Samit Bhanja, Banani Ghose, and Abhishek Das from India highlight their findings on multi-step-ahead time series forecasting using a deep learning and fuzzy time series-based error correction method. And last but not least, Abdullilah A. Alotaibi and Salman A. AlQahtani from Saudi Arabia present in their research an intelligent distributed channel selection framework with hybrid mode selection for interference mitigation in D2D based 5G networks.&amp;nbsp; Enjoy Reading! Best regards,&amp;nbsp; Christian G&amp;uuml;tl, Managing Editor Graz University of Technology, Graz, Austria

2.L. Round table: Monitoring health reforms to inform policy innovation: the Health Systems and Policies Monitor

Abstract Background The European Observatory on Health Systems and Policies’ (Observatory) Health Systems and Policy Monitor (HSPM) network convenes an international group of around 50 national health systems researchers from over 40 institutions across 31 high-income countries, including all EU countries, Canada, Israel, the UK and the US. In advance of the HSPM annual meeting, experts share the current year’s “top-three” health reforms in their countries via a standardized survey, soliciting details on content and general implementation processes. Reforms are iteratively organized into to 2 of 11 clusters, derived from the WHO health system building blocks. Experts then discuss background, status and content of national reforms in the year’s main clusters and initiate cross-country collaborations. A repository of over 650 reforms since 2018 has been created and is available online, showcasing reform patterns in HSPM countries. The collected data have informed studies on reform trends in HSPM countries from 2018-2019 and between 2020-2022, with work ongoing. Data are also consulted by researchers and policymakers wishing to learn about and from reforms in other countries. This workshop specifically aims to: • Inform participants about the methodologies used by the HSPM network to track reforms • Highlight common trends in major health reforms across countries since 2018 • Discuss national health reforms and the value of understanding and tracking these across countries • Identify research gaps in reform monitoring relevant to policy makers • Discuss how the health system research community can generate more relevant and actionable evidence Added-value The comparative analysis of reform trends provides insights into how systems operate and the types of reforms more likely to be implemented. The sharing of these insights also serves as a source of inspiration, allowing countries to learn from each other’s successes and failures and adopt proven best practices. This is relevant for policymakers and researchers striving to support health systems strengthening. Therefore, the workshop will support knowledge exchange between researchers and policymakers by (1) informing researchers and policymakers about similar ongoing reforms in other countries and (2) identifying areas where researchers can contribute to country reform agendas, and (3) stimulating interest in cross-country collaborative research on similar and topical reforms in different countries. Format This is a roundtable workshop chaired and moderated by the Observatory. An overview of reform trends and patterns since 2018 will set the scene, followed by an interactive discussion with policymakers and HSPM network members to (1) delve into trend dynamics and implications for health policy and research and (2) identify major (missing) research areas relevant to policymakers. In addition, we will leverage the geographic scope and expertise of the audience to reflect on the value of monitoring reforms. Key messages • Cross-country exchange of information on reform trends and implementation patterns can inspire future reforms and help policymakers identify promising policy approaches abroad. • Knowledge exchange between researchers and policymakers helps to determine evidence gaps and to generate relevant and actionable evidence that can drive policy innovation. Speakers/Panelists Reinhard Busse Berlin University of Technology, Berlin, Germany Ines Fronteira National School of Public Health - NOVA University of Lisbon, Lisbon, Portugal Iwona Kowalska-Bobko Jagiellonian University Medical College, Institute of Public Health, Cracow, Poland Isabel de La Mata DG SANTE, European Commission, Luxembourg, Luxembourg Vesna-Kestrin Petric Ministry of Health, Ljubljana, Slovenia