bluuebunny/crossref_metadata_2025 huggingface dataset:
Intramural Health Care Through Video Consultations and the Need for Referrals and Hospital Admissions: Retrospective Quantitative Subanalysis of an Evaluation Study (Preprint)
Authors: Schmalstieg-Bahr Katharina , Colombo Miriam Giovanna , Koch Roland , Szecsenyi Joachim , Völker Friedrich , Blozik Eva Elisabeth , Scherer Martin
Published: June 2024

BACKGROUND

In comparison to the general population, prison inmates are at a higher risk for drug abuse and psychiatric, as well as infectious, diseases. Although intramural health care has to be equivalent to extramural services, prison inmates have less access to primary and secondary care. Furthermore, not every prison is constantly staffed with a physician. Since transportation to the nearest extramural medical facility is often resource-intensive, video consultations may offer cost-effective health care for prison inmates.

OBJECTIVE

This study aims to quantify the need for referrals to secondary care services and hospital admissions when video consultations with family physicians and psychiatrists are offered in prison.

METHODS

In 5 German prisons, a mixed methods evaluation study was conducted to assess feasibility, acceptance, and reasons for conducting video consultations with family physicians and psychiatrists. This analysis uses quantitative data from these consultations (June 2018 to February 2019) in addition to data from a sixth prison added in January 2019 focusing on referral and admission rates, as well as reasons for encounters.

RESULTS

At the initiation of the project, 2499 prisoners were detained in the 6 prisons. A total of 435 video consultations were conducted by 12 physicians (3 female and 7 male family physicians, and 2 male psychiatrists during the study period). The majority were scheduled consultations (341/435, 78%). In 68% (n=294) of all encounters, the patient was asked to consult a physician again if symptoms persisted or got worse. In 26% (n=115), a follow-up appointment with either the video consultant or prison physician was scheduled. A referral to other specialties, most often psychiatry, was necessary in 4% (n=17) of the cases. Only in 2% (n=8) of the consultations, a hospital admission was needed. Usually, hospital admissions were the result of unscheduled consultations, and the videoconferencing system was the method of communication in 88% (n=7) of these cases, while 12% (n=1) were carried out over the phone. Reasons for admissions were severe abdominal pain, hypotension, unstable angina or suspected myocardial infarction, or a suspected schizophrenic episode.

CONCLUSIONS

Most scheduled and unscheduled consultations did not require subsequent patient transport to external health care providers. Using telemedicine services allowed a prompt patient-physician encounter with the possibility to refer patients to other specialties or to admit them to a hospital if necessary.
Resilient Artificial Intelligence in Health: Synthesis and Research Agenda Toward Next-Generation Trustworthy Clinical Decision Support (Preprint)
Authors: Sáez Carlos , Ferri Pablo , García-Gómez Juan M
Published: June 2024

UNSTRUCTURED

Artificial intelligence (AI)–based clinical decision support systems are gaining momentum by relying on a greater volume and variety of secondary use data. However, the uncertainty, variability, and biases in real-world data environments still pose significant challenges to the development of health AI, its routine clinical use, and its regulatory frameworks. Health AI should be resilient against real-world environments throughout its lifecycle, including the training and prediction phases and maintenance during production, and health AI regulations should evolve accordingly. Data quality issues, variability over time or across sites, information uncertainty, human-computer interaction, and fundamental rights assurance are among the most relevant challenges. If health AI is not designed resiliently with regard to these real-world data effects, potentially biased data-driven medical decisions can risk the safety and fundamental rights of millions of people. In this viewpoint, we review the challenges, requirements, and methods for resilient AI in health and provide a research framework to improve the trustworthiness of next-generation AI-based clinical decision support.
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study (Preprint)
Authors: Zhu Shiben , Hu Wanqin , Yang Zhi , Yan Jiani , Zhang Fang
Published: June 2024

BACKGROUND

Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chinese National Nursing Licensing Examination (CNNLE) presents unique challenges for LLMs due to its requirement for both deep domain–specific nursing knowledge and the ability to make complex clinical decisions, which differentiates it from more general medical examinations. However, their potential application in the CNNLE remains unexplored.

OBJECTIVE

This study aims to evaluates the accuracy of 7 LLMs including GPT-3.5, GPT-4.0, GPT-4o, Copilot, ERNIE Bot-3.5, SPARK, and Qwen-2.5 on the CNNLE, focusing on their ability to handle domain-specific nursing knowledge and clinical decision-making. We also explore whether combining their outputs using machine learning techniques can improve their overall accuracy.

METHODS

This retrospective cross-sectional study analyzed all 1200 multiple-choice questions from the CNNLE conducted between 2019 and 2023. Seven LLMs were evaluated on these multiple-choice questions, and 9 machine learning models, including Logistic Regression, Support Vector Machine, Multilayer Perceptron, k-nearest neighbors, Random Forest, LightGBM, AdaBoost, XGBoost, and CatBoost, were used to optimize overall performance through ensemble techniques.

RESULTS

Qwen-2.5 achieved the highest overall accuracy of 88.9%, followed by GPT-4o (80.7%), ERNIE Bot-3.5 (78.1%), GPT-4.0 (70.3%), SPARK (65.0%), and GPT-3.5 (49.5%). Qwen-2.5 demonstrated superior accuracy in the Practical Skills section compared with the Professional Practice section across most years. It also performed well in brief clinical case summaries and questions involving shared clinical scenarios. When the outputs of the 7 LLMs were combined using 9 machine learning models, XGBoost yielded the best performance, increasing accuracy to 90.8%. XGBoost also achieved an area under the curve of 0.961, sensitivity of 0.905, specificity of 0.978, F1-score of 0.901, positive predictive value of 0.901, and negative predictive value of 0.977.

CONCLUSIONS

This study is the first to evaluate the performance of 7 LLMs on the CNNLE and that the integration of models via machine learning significantly boosted accuracy, reaching 90.8%. These findings demonstrate the transformative potential of LLMs in revolutionizing health care education and call for further research to refine their capabilities and expand their impact on examination preparation and professional training.
Enhanced therapy for coronary artery disease and diabetes mellitus: impact on biomarkers and clinical outcomes
Authors: Fedorov S.V. , Didushko O.M. , Nyshchuk-Oliinyk N.B. , Pozur N.Z. , Bielinskyi M.V. , Herashchenko A.S.
Published: June 2024

Background. Cardiovascular diseases like coronary artery disease (CAD) are a major global health issue, causing millions of deaths each year. Type 2 diabetes mellitus (T2DM) worsens outcomes for those with CAD. Common risk factors suggest potential synergistic treatment approaches, including the use of quercetin, a natural flavonoid. The purpose was to examine the clinical efficacy and safety of empagliflozin and quercetin in the treatment of coronary artery disease and type 2 diabetes mellitus comorbidity in the light of their impact on parameters of inflammation. Materials and methods. A total of 128 patients diagnosed with both stable CAD and T2DM were enrolled in the study between January and December 2023. Participants were categorized into three groups. Group 1 (controls): 40 patients receiving the standard treatment protocol for CAD and T2DM. Group 2: 46 patients received standard therapy in addition to empagliflozin (10 mg daily). Group 3: 42 patients received standard therapy in addition to empagliflozin (10 mg daily) and quercetin (80 mg three times a day). Results. The results showed that age and gender were similar between the groups, indicating a balanced distribution. The study then evaluated the effects of treatment on various parameters. The baseline body mass index (BMI), glucose, glycated hemoglobin (HbA1c), soluble suppression of tumorigenicity 2 (sST2), Toll-like receptor 2 (TLR2) and TLR4 levels were comparable across all groups. After treatment, significant reductions were observed in BMI, fasting glucose, HbA1c, sST2, and TLR2/TLR4 in all groups. The most significant improvements were seen in the group that received both empagliflozin and quercetin. The findings highlight the potential benefits of these interventions in patients with coronary heart disease and type 2 diabetes mellitus. Conclusions. The addition of empagliflozin and quercetin to standard therapy appears to offer significant benefits in managing BMI, glycemic control, and inflammatory markers in patients with CAD and T2DM. The combined treatment regimen has potential to address the complex interplay of metabolic and inflammatory processes in high-risk patients. The proposed combination also showed efficacy in reducing the myocardial stress, which is shown by a decrease in serum sST2.
Pathogenetic basis of treating endothelial dysfunction with metformin in patients with diabetes (literature review and own data)
Authors: Sokolova A.M. , Pushkarev V.V. , Sokolova L.K. , Pushkarev V.M. , Tronko M.D.
Published: June 2024

Cardiovascular disorders are one of the leading causes of mortality and morbidity worldwide, and their likelihood increases with the addition of risk factors such as sedentary lifestyle, diabetes, obesity, hyperlipidemia, and hypertension. Elevated blood sugar levels can lead to oxidative stress, dyslipidemia, and endothelial dysfunction, culminating in increased cardiovascular risk. Hyperglycemia adversely affects the cardiovascular system, it is a cause of micro- and macrovascular diseases. Harmful biochemical mechanisms of hyperglycemia are associated with the phenomenon of insulin resistance. Metformin (MF) reduces insulin resistance and, therefore, exerts an antihyperglycemic and insulin-lowering effect in patients with type 2 diabetes. MF, like hypolipidemic statins, also has an additional beneficial pleiotropic, anti-inflammatory and antioxidant effect on the vascular system, in addition to its hypolipidemic and antihyperglycemic effects. Primary is the effect of MF on endothelial dysfunction, as endothelial integrity is a critical long-term determinant of vascular health and, therefore, the occurrence of cardiovascular disease. MF has a very simple chemical structure. The simple structure means that the development of new agents with similar or better properties and mechanisms of action is unlikely, so future use of pharmacokinetic, pharmacodynamic and therapeutic targeting data should be expected to unlock the full therapeutic potential of MF. This approach has recently been demonstrated using a sustained-release MF drug that acts in the distal intestine and exhibits intestinal hormone-dependent antihyperglycemic effect. There are virtually no hidden adverse effects for MF, so it has the potential to provide an effective and safe treatment for hyperglycemia in the future, particularly through its beneficial effects on cardiovascular diseases, including endothelial dysfunction and atherosclerosis.
Simultaneous Area and Latency Optimisation for Stochastic Circuit by D Flip-Flop Insertion
Authors: Rao K. Deepa
Published: June 2024

Abstract: Stochastic circuits, leveraging the inherent randomness in computation, have garnered substantial attention for their potential in energy-efficient computing across various domains, including machine learning, signal processing, and cryptography. However, harnessing the full potential of stochastic circuits necessitates addressing the intertwined challenges of area and latency optimization, which are crucial metrics for the practical deployment of such circuits in real-world applications. This paper presents a comprehensive exploration of simultaneous area and latency optimization for stochastic circuits, focusing on the strategic insertion of D flip-flops. The proposed approach capitalizes on the unique characteristics of stochastic circuits, where computation is inherently probabilistic, to devise a systematic method for identifying critical paths and judiciously inserting D flip-flops to enhance both area efficiency and latency performance. By leveraging the stochastic behavior inherent in these circuits, our methodology identifies opportunities for optimizing the circuit's structure to minimize critical path delays and reduce area overhead simultaneously.
Cloud Forensics: Challenges and Blockchain Based Solution
Authors: VC Anusha
Published: June 2024

Abstract: As digital forensics has advanced, it has now become a crucial aspect of cloud computing. The standard process for digital forensics includes five key steps: identifying the problem, collecting relevant data, investigating the crime scene, analyzing the evidence, and documenting the case. However, performing digital forensics in the cloud presents unique challenges, especially related to security and privacy. This paper reviews different digital forensics methods, particularly focusing on cloud computing. One approach we highlight is the use of blockchain technology in cloud forensics. Blockchain's decentralized, tamper-proof ledger enhances the security and integrity of forensic evidence, ensuring reliable chain of custody and improving the credibility and admissibility of evidence in legal proceedings. Cloud forensics offers significant advantages such as large storage capacity, powerful computing abilities, and tools to identify criminal activities, which are crucial for thorough investigations. We examine the problems and challenges at each stage of the cloud forensics process and discuss how blockchain technology can provide effective solutions. Our goal is to help new researchers better understand these issues and encourage the development of new ideas to address the challenges in cloud forensics.
Design & Analysis of G+10 Building with Composite Column
Authors: Azheruddin Mohd.
Published: June 2024

Abstract: As the world business enlarging day by day, and designing of the buildings are getting complex and demanding more technology to enhance its stability, performances, cost, duration and its uniqueness of designing. At the later part of development in civil engineer majority of the work was transformed from conventional system to a well organized and computerized system, most of the time the company employees and owners were in live risk, due to non availability of technology. As time goes technology develops, having this in mind we had also suggested using Etabs software in our design. Etabs is a 3D analysis and designing of the buildings, it is engineering software which is used in construction and designing or analysis of complex multi stored buildings. Composite column is actually the amalgamation of two traditionally methodologies structure steel and structure concrete, their design could be based on concrete or steel methodology. Any method can be used to develop composite column approach.
A Security Assessment Framework Based on Cloud Technology: A Comprehensive Review
Authors: Rathore Anupam
Published: June 2024

Abstract: Because cloud technology offers previously unheard-of scalability and flexibility, it has become indispensable to modern computing. But maintaining cloud systems' security continues to be a major concern. An extensive examination of security assessment frame-works customized for cloud computing is provided in this review paper. It looks at current approaches, points out their advantages and disadvantages, and suggests a fresh framework that incorporates risk management ideas. The suggested framework ensures scalability and adaptation to different deployment methods while emphasizing essential elements and methodlogies for evaluating security concerns in cloud settings. This article also examines case studies and applications from the real world, assessing the effectiveness of the suggested framework and drawing recommendations for best practices. Organizations can improve their cloud security posture and successfully reduce adoption-related risks by utilizing the suggested approach.
Artificial Intelligence in Cybersecurity
Authors: Khot Abhishek
Published: June 2024

Abstract: Artificial Intelligence (AI) has become integral to cybersecurity, offering advanced solutions for monitoring, detecting, reporting, and countering cyber threats. As cyberattacks grow in number and sophistication, traditional security measures prove inadequate. AI's ability to quickly adapt and learn makes it a vital tool in defending against these evolving threats. It automates routine tasks, accelerates threat detection and response, and improves the accuracy of security measures. However, AI also presents risks, such as potential misuse by cybercriminals, necessitating continuous human oversight. The increasing incidence of cyberattacks highlights the need for robust AI-enabled cybersecurity systems to protect sensitive data across industries
Regulatory Frameworks for Ethical AI Development in Coding
Authors: Patil Shivagouda M
Published: June 2024

Abstract: The development and deployment of Artificial Intelligence( AI) systems in coding have the eventuality to revise numerous industriousness, yet they also present significant ethical challenges. This abstract figure the critical need for robust nonsupervisory fabrics to ensure the ethical development of AI in picture. As AI technologies advance, issues analogous as bias, translucence, responsibility, and the eventuality for abuse come increasingly material. Regulatory fabrics must address these enterprises by establishing guidelines that promote fairness, cover insulation, and ensure the responsibility of AI systems. This paper examines current nonsupervisory approaches, identifies gaps, and proposes comprehensive strategies for fostering ethical AI development. By integrating ethical principles into AI regulations, we can palliate risks and harness the full eventuality of AI inventions while securing societal values and individual rights. The analysis also emphasizes the significance of collaboration among stakeholders, including policymakers, sedulity leaders, and ethicists, to produce a cohesive and adaptive nonsupervisory terrain.
A Review on the Performance of Natural Fiber Reinforced Polyester and Epoxy Matrices
Authors: S Sravanthee
Published: June 2024

Abstract: Natural fiber reinforced polymer matrix composites have gained significant attention in recent years due to their ecofriendly nature and potential applications in various industries. Hand layup is a widely employed manufacturing method for these composites, offering flexibility and cost-effectiveness in producing complex shapes and structures. This review explores the characteristics of natural fibers, the properties of the resulting composites, and the process of hand layup. The integration of natural fibers with polymer matrices through hand layup is discussed in terms of mechanical performance, environmental impact, and economic feasibility. Challenges and future prospects in the field are also highlighted to guide further research and development efforts.
SafeLink Analyzer Using Machine Learning
Authors: Tyagi Prachi
Published: June 2024

Abstract: Phishing remains a significant cyber threat that deceives individuals into accessing fraudulent websites, aiming to steal personal information. This study employs the Multinomial Naive Bayes and Logistic Regression machine learning algorithms to detect phishing URLs. We developed a web application using FastAPI and Python, providing users with a tool to verify the authenticity of URLs. Our findings indicate that these algorithms can effectively distinguish between phishing and legitimate URLs, thereby enhancing cybersecurity
MATHEMATICAL MODELING OF RELAXATION PROCESS IN CONCRETE
Authors: Arleninov Petr , Krylov Sergey
Published: June 2024

The study provides experimental and theoretical investigations of stress relaxation in concrete under preset constant deformation of specimens and proposes an approach to the mathematical determination of stress relaxation in concrete. In addition to mathematical modeling, parallel long-term tests were performed on concrete specimens of the same class under four different regimes: determination of concrete creep in compression (concrete prism specimens in spring installations) according to GOST 24544; determination of concrete relaxation in compression (concrete prism specimens in special installations, determination of concrete creep in bending (concrete specimens-beams in rack-type installations working in bending and loaded with gravity load) according to GOST 24544; determination of concrete relaxation in bending (concrete specimen beams, with applied initial deformation in the middle of the span Determination of stress drop was performed using electronic dynamometers built between the specimen and the point of load application. A new concept, "relaxation measure Rm", was proposed. This value is similar in meaning to the creep measure and characterizes the degree of stress reduction in time due to relaxation when loaded with a unit relative strain. The introduction of relaxation measure allows to simplify the relaxation equation and significantly simplifies its solution. According to the results of calculation by the proposed computational algorithms for determining the relaxation measure in comparison with the experimental data, a satisfactory convergence of the results is obtained Qualitative conclusions about the applicability of the methodology of SP 63.13330 for reducing the modulus of elasticity of concrete in creep and relaxation.
OPTIMAL SEISMIC PROTECTION OF STRUCTURES ON BEARINGS WITH BILINEAR HYSTERETIC CHARACTERISTIC
Authors: Poznyak Elena , Novikova Olga , Radin Vladimir , Kiselev Alexey , Ivanova Yulia
Published: June 2024

The design of optimal seismic protection systems on bearings with hysteresis behavior leads to a conditional multidimensional global optimization problem with a nonlinear and non-differentiable objective function. In this paper, bearings with bilinear characteristic with hysteresis are considered, i.e. for each nonlinear bearing there are four parameters to optimize: ultimate elastic displacement and stiffness for the elastic mode and ultimate displacement and stiff-ness for the inelastic mode.
We study the seismic response of an elastic beam on four nonlinear bearings under vertical seismic ground motion. The perturbation functional as an integral of the quadratic form of the state vector with a weight matrix formed from the stiffness and inertia matrices of the system on equivalent elastic supports is considered as the objective function. Minimization of the functional means the minimum of the total energy of the system on equivalent elastic bearings. Genetic algorithm is used to solve the optimization problem.
The Position of Ijbar Rights in Perspective Islamic Law and Human Rights
Authors: Munir Misbachul , Zumrotun Siti
Published: June 2024

This article aims to illustrate the concept of ijbar according to Islamic religious law based on the opinion of jurists about the right to force a girl (ijbar right) to marry owned by her guardian even without her consent because a guardian is considered to be the one who knows best about what is best because women are considered not proficient in formulating things that are best for her,  Therefore, consent is not a priority that ultimately monopolizes women's interests and has the potential to cause violence against women, therefore this article tries to describe ijbar rights according to the perspective of Islamic Law and Human Rights.
Impacts of Early Childhood Marriage in Indonesia Viewed from Child Protection Laws Perspectives
Authors: Gunawan Shella Oetharry , Bahri Syamsul
Published: June 2024

This article seeks to elucidate the ramifications of early marriage or child marriage about the Child Protection Law and explicate endeavors to thwart child marriage as a means of safeguarding children. The research method employed is normative juridical, which involves analyzing and evaluating relevant laws and regulations as the major source for problem-solving. The research findings indicate that child marriage violates the Child Protection Law. Moreover, child marriage might impede the realization of children's rights, hence compromising their overall growth and development. Child marriage exerts a significant influence on economic, social, health, educational, and psychological issues. Efforts aimed at preventing child marriage serve as a means of safeguarding children. It is necessary to enhance and unify rules pertaining to the prevention of child marriage. This should involve collaboration across many levels of government, from national to local, and engage all segments of society, particularly young individuals, to effectively execute measures against child marriage. It is advisable to enhance and align the age restrictions for children across rules to ensure they are consistent, mutually reinforcing, and efficiently implemented in practice. There is a requirement for additional regulations concerning marriage dispensation by the District Court or Religious Court. It is also important for Judges to be consistent and firm in their decisions regarding marriage dispensation cases, in line to prevent or reject child marriage as stated in PERMA Number 5 of 2019.
Association Between ERAS Application Changes and Unfilled Positions in the 2024 Family Medicine Match
Authors: Brown Steven R. , Mitchell Karen B.
Published: June 2024

Background and Objectives: The number of family medicine positions unfilled in the Main Match has increased from 2019 to 2023. In the 2023–2024 family medicine application season, the specialty adopted the changes in the Electronic Residency Application Service (ERAS or MyERAS), which included geographic preferences and offered applicants five program signals. We compared the number of unfilled positions from prior years to results of the 2024 family medicine Match after the adoption of these changes.
Methods: We analyzed publicly available data from the National Resident Matching Program to compare the number of positions filled in the Main Match from 2019 to 2024. We estimated the number of expected positions filled using multiple linear regression and application data from ERAS and the number of available positions in the Match.
Results: A total of 636 positions were unfilled in the 2024 family medicine Main Match. Our statistical analysis, based only on the number of applicants and the number of available positions, predicted 630.65 unfilled slots with a 95% confidence interval from 605.53 to 655.77. The 2024 family medicine position fill rate decreased slightly at 87.8% compared to 88.7% in the 2023 Match. The number of family medicine programs that did not fill in the Main Match increased in 2024 to 241 (30.3% of programs) compared to 217 (28.1%) in 2023.
Conclusions: MyERAS changes in the 2023-2024 family medicine application season, including geographic preferences and program signaling, were not associated with a change in the number of programs or positions filled in the family medicine Main Match.
Decisions regarding the role of bad news and asymmetric effects in the Middle East stock markets
Authors: AlHalaseh Rula Hani
Published: June 2024

This paper aims to study the impact of the COVID-19 pandemic, the Russian invasion of Ukraine, and the Turkey-Syria earthquake on the Middle East’s developed, emerging, and frontier markets. For this purpose, panel data of nine Middle East financial markets listed in Morgan Stanley from January 2, 2018, to July 27, 2023, were analyzed using multi criteria. In the event study, two approaches were deducted to analyze the price impact: 1) a standard event study and 2) an independent sample, following Brown and Warner (1985). The generalized autoregressive conditional heteroskedasticity (GARCH) group captures asymmetric and leverage effects. The results show volatility in financial market index returns and the impact of bad news and leverage in all markets. However, this effect is asymmetric across markets, indicating a low integration. Moreover, the negative impact of COVID-19 was more pronounced than that of both the Russian invasion of Ukraine and the Turkey-Syria earthquake. This study’s findings can help investors make informed investment decisions and select optimal portfolios. It will also add to the existing body of knowledge by shedding new light on the factors that influence stock price volatility and risk management in Middle Eastern international fiscal issues.
Alternative Histori[es]: A Place Where Something Happened
Authors: Eliot Moleba
Published: June 2024

Abstract

This artistic research project focuses on narrative accounts of Norwegians who self-identify with a ‘multicultural and/or immigration background(s)’, to explore how their (hi)stories can be woven into the tapestry of the contemporary Norwegian public memory and story. I set out to interview and collect their narrative accounts, which must also be understood as oral (topical) histories, focusing on (hi)stories of their lived experiences, with a special interest in an event that happened in a public space and has been experienced as a meaningful or life-changing moment. Through a collaborative process, the oral (hi)stories were transformed and used to produce interactive monuments installed on the sites where the narrated events took place.

One of the key artistic challenges in the project was to grapple with the question of how not only the collaborators but also the public can be empowered to actively shape and engage with artistic works, becoming co-collaborators themselves.

This artistic inquiry led to the development of monu(mo)ments, an artistic concept and initiative that is dedicated to turning stories of Norway’s diversity into interactive, performative works of public art. The monu(mo)ments are not just symbols of collective memory but embody that very concept in how they themselves function. Through an interactive/participatory design, the public is invited to contribute their own narratives, perspectives, and experiences, shaping the monu(mo)ment's meaning and relevance. They invite the public to become co-creators of the narratives embedded within their communal spaces, fostering a sense of ownership and agency, and blurring the boundaries between artist(s) and public, the past and the present.

The project strives to illuminate the untold oral (hi)stories of these narrators by allowing them to take over public spaces and infuse them with gripping personal narratives to shift how we read those places and (re)negotiate their past/meaning. This is to create an ‘alternative history’, dedicated to writing and inscribing these voices into public spaces and our broader collective imagination.

Other artistic results include a live-action role-playing game (LARP). Furthermore, the larp was modified to serve as a resource for educators, enabling them to address interconnected themes within their classrooms through immersive gameplay. It has been performed in schools, festivals, and conferences in Norway, Austria, and Denmark.

Overall, by creating artistic works that (re)imagining public memory as a dynamic and interactive process, this artistic research project foregrounds and contributes to the ongoing efforts to capture and reflect Norway’s multicultural reality and identity.
Trastornos de la interacción cerebro-intestino (trastornos funcionales digestivos): neuromoduladores en la práctica clínica (parte I)
Authors: Pineda Ovalle Luis Fernando , Páramo Hernández David Benigno , Moya Valenzuela Laura Marcela , Concha Mejía Alejandro , Páramo Díaz Juan David
Published: June 2024

Introducción: en este artículo de revisión se desarrollan los principios básicos para el uso y los mecanismos de acción de los neuromoduladores utilizados en la práctica clínica y su papel en el tratamiento de los diferentes trastornos de la interacción cerebro-intestino (TICI), particularmente los esofágicos en la parte I.
Materiales y métodos: el grupo de trabajo revisó las patologías más frecuentes y los medicamentos utilizados según la bibliografía más reciente, y presenta a los que tienen la mejor evidencia clínica en cada caso.
Resultados: debido a la diversidad de trastornos, tipos de estudios y opciones terapéuticas, se decide presentar las evidencias con los mejores resultados para cada caso, y en cada uno se determinan las dosis utilizadas, sus resultados y efectos colaterales.
Conclusiones: se revisan los principios básicos del uso y mecanismos de acción de los principales neuromoduladores, así como la utilización de los mismos en esta sección en los principales trastornos funcionales gastrointestinales esofágicos. Dado que la evidencia disponible no resulta definitiva, para cada condición se requieren más experimentos clínicos controlados que puedan confirmar la efectividad y seguridad de los neuromoduladores.
TALUS: PROTOTYPE OF A PORTABLE CONTINUOUS PASSIVE MOTION PHYSICAL THERAPY DEVICE FOR ANKLE TRAUMA
Authors: Bingöl Okan , Ertuğrul Mehmet , Uysal Süleyman
Published: June 2024

Excessive stretching or rotation during daily movements can cause joint traumas that impair quality of life. These traumas are common in ankle joints, which bear the weight of the body, and can present as sprains, dislocations or fractures, causing pain and limited movement. Physiotherapy methods and technologies are used to restore optimum neuromusculoskeletal function. Continuous passive motion is a method used to prevent joint stiffness and calcification in joint surgery cases by providing repetitive movement of the joint. Physical therapy devices utilizing this technology allow for controlled repetition, speed, power, and angle. In this study, a prototype called Talus was developed that can deliver continuous passive motion physiotherapy at an adjustable angle, in real time or autonomously, after ankle joint trauma or surgery, and record application and patient information. Nextion was utilised to input patient information, determine movement angles, select the operating mode, and display recorded patient and treatment data. The information was recorded and the servo motors on the relevant axes were controlled using Arduino Mega. Talus allows for personalised treatment to be administered at home.
On the Need for the Establishment of Centres for Integrated Research in Computing and Agriculture (CiRCA) in African Universities
Authors:   Fellows -Society for Multidisciplinary & Advance  Research Techniques in Africa, Olateju Omobolaji .O
Published: June 2024

Centres of excellence are established in world class institutions of higher learning to aid research, innovation, institutional global ranking, visibility, impact and to also cluster academia and practitioners under an umbrella that can create a synergy of mutually benefiting relationships between the gown and the town. These Centres provide a unique platform that allows the integration of knowledge across different disciplines within and outside an institution thus facilitating internationalization, linkages, mentoring and the transformation of knowledge to useful outputs. This paper raises the need to establish a Centre for Integrated Research in Computing and Agriculture (CiRCA) in African Universities in order to annex the potentials and opportunities offered by the nexus of computing and agriculture. . Keywords: Agriculture, Centre of Excellence, Green Computing, Precision Agriculture Proceedings Citation Format Olateju, O.O. (2023): On the Need for the Establishment of Centres for Integrated Research in Computing and Agriculture in African Universities. Proceedings of the 36th iSTEAMS Accra Bespoke Multidisciplinary Innovations Conference. University of Ghana/Academic City University College, Accra, Ghana. 31st May – 2nd June, 2023. Pp 379-384 dx.doi.org/10.22624/AIMS/ACCRABESPOKE2023P35
Outdoor markets as a regional food distribution channel in Poland between 2004 and 2013
Authors: Borowska Agnieszka
Published: June 2024

The article examines the importance of all-year and seasonal outdoor markets in the supply chain of regional food with PDO and PGI geographical indications. The author elaborates on changes to sales levels and the structure of outdoor markets in Poland in the years 2004–2013. She looks at the role outdoor markets play in the food supply chain, including the supply of regional food, especially agricultural products. She used consumer surveys as a primary source of information and data from Poland’s Central Statistical Office as a secondary source. The article concludes with reflections on the possibility of developing direct sales of regional foods in Poland’s outdoor markets in the context of consumer expectations.
Marketing in Polish enterprises – Mazowieckie voivodship and beyond
Authors: Kaczmarczyk Stanisław
Published: June 2024

The analysis was based on data gained from scientific research done in 2010-2011 by the research team at the Marketing and Commerce Department at Nicolaus Copernicus University. The article describes and compares data on marketing conditions in Mazovia’s enterprises with data on Polish enterprises from the country as a whole. The main focus is a comparative analysis of chosen marketing activities and tools used by all the companies under consideration. The issues discussed are among the practical and theoretical aspects of contemporary marketing in Poland, especially in Mazowieckie Voivodship.
Genome-Wide Polygenic Risk Score Predicts Incident Type 2 Diabetes in Women with History of Gestational Diabetes
Authors: Choi Jaewon , Lee Hyunsuk , Kuang Alan , Huerta-Chagoya Alicia , M. Scholtens Denise , Choi Daeho , Han Minseok , L. Lowe Jr. William , K. Manning Alisa , Chul Jang Hak , Soo Park Kyong , Heon Kwak Soo
Published: June 2024

Objective Women with a history of gestational diabetes mellitus (GDM) are at increased risk of developing type 2 diabetes (T2D). It remains unclear whether genetic information improves prediction of incident T2D in these women.

Research Design and Methods Using five independent cohorts representing four different ancestries (N=1,895), we investigated whether a genome-wide T2D polygenic risk score (PRS) is associated with increased risk of incident T2D. We also calculated the area under the receiver operating characteristics curve (AUROC) and continuous net reclassification improvement (NRI) following the incorporation of T2D PRS into clinical risk models to assess the diagnostic utility.

Results Among 1,895 women with previous history of GDM, 363 (19.2%) developed T2D in a range of 2 to 30 years. T2D PRS was higher in those who developed T2D (-0.08 vs 0.31, P=2.3×10-11) and was associated with an increased risk of incident T2D (odds ratio 1.52 per 1-SD increase, 95% CI 1.05‒2.21, P=0.03). In a model that includes age, family history of diabetes, systolic blood pressure and BMI, the incorporation of PRS led to an increase in AUROC for T2D from 0.71 to 0.74 and an intermediate improvement of NRI (0.32, 95% CI 0.15‒0.49, P=3.0×10-4). Although there was variation, a similar trend was observed across study cohorts.

Conclusion In cohorts of GDM women with diverse ancestry, T2D PRS was significantly associated with future development of T2D. A significant but small improvement was observed in AUROC when T2D PRS was integrated into clinical risk models to predict incident T2D.
Instilling Hindu Character Values through The Development of E-Comic Based Balinese Satua in Kindergarten
Authors: Windayani Ni Luh Ika , Dewi Ni Wayan Risna
Published: June 2024

There are many benefits associated with the usage of e-comics as a medium for developing Hindu character in early childhood. The aim of the research is to develop e-comic based Balinese media to instill Hindu characters in early childhood. The research uses Research and Development (R&D) with a 4D (define, design, develop, disseminate) model. The e-comic based Satua Bali prototype to instill Hindu characters in students was developed through the stages of making a script, characterizing, sketching, digitizing characters, making storyboards and transferring image files to the LibreOffice Impress (PowerPoint) program. Continued to convert the PowerPoint file into a video. Instruments include observation sheets, interviews, as well as validation, practicality and effectiveness sheets. The data analysis technique for validity uses an average score with valid criteria with a score of more than 8.00. The practical aspect uses three criteria; very practical (7-10), practical (4-6) and impractical (1-3). The effectiveness aspect is carried out using the t-test. Validation results from experts and practitioners show that the material aspect is in the valid category. The practicality of e-comic based Satua Bali to instill Hindu character values ​​in students gets practical response results. The results show that there is an influence of implementing e-comic based Satua Bali in instilling Hindu character values ​​in students. Therefore, it can be concluded that e-comic based Balinese Satua media in instilling Hindu characters in early childhood has been well developed and is useful as a learning medium.
Bolokuncoro: Photographic Story Media in Interactive Learning Introduction to Local Culture Literacy for Early Childhood Students
Authors: Fajrie Nur , Nofeca Ysta , Utaminingsih Sri , Aliriad Hilmy
Published: June 2024

The books used by teachers in the learning process regarding the introduction of cities are less attractive to students. When using books at school, teachers experience problems because books are still conventional so they are easily damaged when used frequently. The purpose of this study was to develop a media for learning the picture story 'Bolokuncoro' in an interactive learning introduction to local cultural literacy for early childhood students. This research uses the Research and Development (R&D) method adopted from the Borg and Gall model with a small scale, namely 7 stages of research. The results of this study are the percentage validation test. The final validation results of the material obtain an average percentage of 88%. The percentage is included in the very feasible and usable category. While the average percentage of media validation is 86%. The percentage is included in the very feasible and usable category. However, there are some suggestions that can be applied by researchers and if they are not implemented too. During the field test using the teacher's response questionnaire. The final score based on the total score divided by the maximum score obtained an average of 96% with a very decent category. So that the media can be used in learning.
Exílio e cegueira na literatura portuguesa do século XX
Authors: Luiz Carolina Borges da Silva
Published: June 2024

Este artigo propõe uma jornada pela literatura portuguesa do século XX, através de representações do exílio construídas a partir das metáforas do olhar, especialmente a cegueira. Imagens recorrentes passam por Fernando Pessoa, José Régio, Branquinho da Fonseca, Ferreira de Castro, José Rodrigues Miguéis, Jorge de Sena, Sophia de Mello Breyner Andresen, José Saramago e, no horizonte de todos eles, Camões, Vieira e a tradição cristã.
Hydatid Disease of Spine: A Rare Cause of Chronic Back-Ache Not Responding to Conventional Treatment
Authors: SAHU ALOK , SENAPATI RAJESH , HEMBRAM GOPAL KRISHNA , SAHOO MANOJ
Published: June 2024

Hydatid disease is a parasitic infection caused by tapeworms in human. In human, it is common in liver, spleen and brain. Musculoskeletal involvement is secondary and uncommon, with an incidence of less than 2.5%. Spinal involvement is even rarer with an incidence of 1%. We came across an Afghan national in his early 20s who presented to us with the complains of gradually worsening pain in the upper back for 1.5 years associated with weakness of both lower limbs for 3 months. Within 2 weeks of presentation the neurological deficit progressed to complete paraplegia with loss of sensation below the level of the chest and urine retention. The patient was thoroughly examined clinically. Essential radiological and hematological investigations were performed as well. And a consequent diagnosis of hydatid disease of spine involving the chest wall was made. He was then operated by a multidisciplinary team consisting of cardiothoracic surgeon, orthopedic surgeons and anaesthetists. The cysts from the chest wall and the spine were excised followed by decompression of spine. Lavage with hypertonic saline was done intra-operatively to prevent recurrence. The post-operative period was uneventful and patient showed signs of improvement gradually. He was discharged and prescribed Albendazole and Praziquantel. Patient remained symptom-free for around one year. After a period of one year, signs of recurrence developed. Patient presented to us with paraplegia and had to be re-operated and put on similar post-operative drug regime of albendazole and praziquantel.
Hambatan Epistemologis Mahasiswa dalam Memecahkan Masalah Ruang Hasil Kali Dalam
Authors:   Universitas Lampung, Wijaya Agung Putra , Asnawati Rini , Caswita Caswita
Published: June 2024

The ability to solve problems is one of the important competencies that students must master, including problems of inner product spaces encountered in Vector Algebra lectures. However, students' ability to solve problems based on this concept is not yet optimal. Therefore, this research was conducted with the aim of describing (1) the epistemological obstacles that hinder students in solving inner product space problems and (2) the causes of these obstacles. This research uses a qualitative approach with a phenomenological type involving students from the Bachelor of Mathematics Education Study Program, FKIP Universitas Lampung who are taking the Vector Algebra course. The subjects of this research were six students who were chosen with the consideration that these students made mistakes in solving problems. This research data was collected through technical tests and interviews. Data analysis was carried out qualitatively. The results of the research show that there are six epistemological obstacles experienced by students in solving inner product space problems and three causes that trigger these obstacles. The results of this study provide opportunities for further research by assessing appropriate scaffolding to overcome these epistemological obstacles.
Identifying Influential Indonesian SMEs Scaling-up Factors: AHP Quantified
Authors: Irsyada Widya Sagita , Dhewanto Wawan
Published: June 2024

Indonesian government through the Ministry of Cooperatives and Small- Medium Enterprises (KEMENKOPUKM) has targeted 6% of MSMEs to be scale-up in the next five years. Despite the existing regulation of Law No. 20, year 2008 about MSMEs classification, there are no specific indicators for measuring scaled-up SMEs. The government is still under review of internal insights towards SMEs scaling up indicators from stakeholders of cross-field sectors. There are several research toward SMEs performance and growth parameters. Nonetheless, each study has its own version of the most influential indicators. This study has gathered the prior research and quantifying indicators that have impacted scaled-up the most using analytical hierarchy process (AHP). It results the most influential factor to the least one as follows: innovation (21.6%), productivity (20.7%), financial (19.9%), human capital and workforce composition (14.0%), global market (13.2%), and age of company (10.1%).