Integral Role Research Articles

Hospital Discharge Process: Context-Sensitive Care.

The transition from hospital to home after surgery is a vulnerable time for all cardiac surgical patients, particularly older adults. This postoperative phase presents multiple physical, physiological, emotional, and socioeconomic challenges, not only for patients but also for their families and informal caregivers, who often describe this period as stressful and overwhelming. Health-care professionals, particularly nurses, play an integral role in a patient's discharge process; the challenges can be ameliorated through timely discharge planning and effective discharge education. The context-sensitive solutions shared in this paper propose enhancing nurses' discharge practices to provide individualized care and to facilitate the hospital-to-home transition.

A Movement Classification of Polymyalgia Rheumatica Patients Using Myoelectric Sensors.

Gait disorder is common among people with neurological disease and musculoskeletal disorders. The detection of gait disorders plays an integral role in designing appropriate rehabilitation protocols. This study presents a clinical gait analysis of patients with polymyalgia rheumatica to determine impaired gait patterns using machine learning models. A clinical gait assessment was conducted at KATH hospital between August and September 2022, and the 25 recruited participants comprised 18 patients and 7 control subjects. The demographics of the participants follow: age 56 years ± 7, height 175 cm ± 8, and weight 82 kg ± 10. Electromyography data were collected from four strained hip muscles of patients, which were the rectus femoris, vastus lateralis, biceps femoris, and semitendinosus. Four classification models were used-namely, support vector machine (SVM), rotation forest (RF), k-nearest neighbors (KNN), and decision tree (DT)-to distinguish the gait patterns for the two groups. SVM recorded the highest accuracy of 85% among the classifiers, while KNN had 75%, RF had 80%, and DT had the lowest accuracy of 70%. Furthermore, the SVM classifier had the highest sensitivity of 92%, while RF had 86%, DT had 90%, and KNN had the lowest sensitivity of 84%. The classifiers achieved significant results in discriminating between the impaired gait pattern of patients with polymyalgia rheumatica and control subjects. This information could be useful for clinicians designing therapeutic exercises and may be used for developing a decision support system for diagnostic purposes.

Vitamin E biofortification: enhancement of seed tocopherol concentrations by altered chlorophyll metabolism.

Homogentisate Phytyltransferase (HPT) catalyzes condensation of homogentisate (HGA) and phytyl diphosphate (PDP) to produce tocopherols, but can also synthesize tocotrienols using geranylgeranyl diphosphate (GGDP) in plants engineered for deregulated HGA synthesis. In contrast to prior tocotrienol biofortification efforts, engineering enhanced tocopherol concentrations in green oilseeds has proven more challenging due to the integral role of chlorophyll metabolism in supplying the PDP substrate. This study show that RNAi suppression of CHLSYN coupled with HPT overexpression increases tocopherol concentrations by >two-fold in Arabidopsis seeds. We obtained additional increases in seed tocopherol concentrations by engineering increased HGA production via overexpression of bacterial TyrA that encodes chorismate mutase/prephenate dehydrogenase activities. In overexpression lines, seed tocopherol concentrations increased nearly three-fold, and resulted in modest tocotrienol accumulation. We further increased total tocochromanol concentrations by enhancing production of HGA and GGDP by overexpression of the gene for hydroxyphenylpyruvate dioxygenase (HPPD). This shifted metabolism towards increased amounts of tocotrienols relative to tocopherols, which was reflected in corresponding increases in ratios of GGDP/PDP in these seeds. Overall, our results provide a theoretical basis for genetic improvement of total tocopherol concentrations in green oilseeds (e.g., rapeseed, soybean) through strategies that include seed-suppression of CHLSYN coupled with increased HGA production.

Moral learning and positive schizotypy: Social cognitive mechanisms in psychosis- proneness

BackgroundDelusional thoughts such as paranoia and conspiratorial thinking reflect beliefs in others' intentions to do harm. Given the integral role of harm evaluation in moral cognition, a better understanding of how psychosis-prone individuals process others' moral characters may provide insights into social cognitive mechanisms of these types of delusions. MethodsAn online sample of 293 participants was drawn from the general population, using Amazon Mechanical Turk. Participants performed a moral inference task, where they predicted and judged the binary choices of two fictitious agents (“good” or “bad”) to impose harm under different levels of financial incentives. An investment game involving the same agents then examined participants' trust behavior. Psychosis-proneness was measured with the Multidimensional Schizotypy Scale Brief Edition. ResultsA set of multiple regressions showed that positive schizotypy was associated with a lower yet more confident pre-experimental expectation of the agent's moral character, lower prediction accuracy of the agent's harm preferences, less belief revision, and undifferentiated perception of the good and bad agents' characters. Positive schizotypy was also related to higher expectations for reciprocity in the investment game, regardless of agent characters. ConclusionOur findings suggest that inflexible beliefs associated with psychosis-proneness extend beyond negative prior expectations, also reflecting difficulties in moral learning. The resulting undifferentiated moral impressions might contribute to undue suspicion of benevolent individuals and increased gullibility to malicious ones, potentially further strengthening conspiratorial beliefs.

Академічна доброчесність як виклик, вимога і воля: контексти філософської антропології, етики й філософії освіти

Academic integrity in education and science is understood as an ability that translates from possible into actual justice in the relations of students, teachers and scientists, their respect for their own dignity and the dignity of colleagues, as well as a focus on sincere creativity and co-creation. Academic integrity is the ability to maintain and develop the reputation of a conscientious, tolerant and creative professional who does not envy the talent of colleagues and does not appropriate their achievements. In the article, academic integrity appears not only as a demand and a challenge, but also as a will. In the coordinates of the methodology of meta-anthropology, it is proven that at the level of the will to self-preservation and procreation, as well as at the level of the will to power, any virtue, including academic and conditional, moreover, its deformations and distortions are possible. Only under the influence of the will to knowledge and creativity of the finite being of a person, which is supplemented by the will to co-creation in the meta-boundary being, academic integrity acquires an unconditional character and naturalness. It has been proven that true academic integrity is impossible without true academic dialogue, without it it turns into a simulacrum. The heuristic meaning of the concept “will to academic integrity” is substantiated. The will to academic integrity is an important component of the will to scientific novelty and actualizes academic writing that has heuristic achievements, is free from plagiarism, does not amount to compilation and is not a fabrication. As an example of the action of such a will in the academic community, the Kyiv anthropological school is presented in its development in the directions of existential anthropology and metaanthropology. The role of academic integrity in conditions of war and peace is shown.

Failure of trabecular bone: XFEM modelling of multiple crack growth

Trabecular bone plays an important role in structural integrity of bone tissues. Its complex microstructure characterised by high porosity and intricate composition with multiple trabeculae is a challenge for analysis of fracture initiation and propagation in it. This work investigates mechanical behaviour and failure of representative volume elements (RVEs) of porous structure of trabecular bone using numerical simulations. The extended finite-element method (XFEM) is used together with an original algorithm for the growth of multiple cracks in individual trabeculae of the structure. The obtained results are presented in comparison with the model of degradation of elastic properties. The effect of morphology on accumulation of damage and crack growth - both on the scale of a RVE and in individual ligaments - was investigated using the developed approach for estimation of a relative crack-surface area. The results are presented for five RVEs, obtained with high-resolution computed tomography of human trabecular bone, subjected to applied tensile and compressive loads.

Implementing and Testing a U-Space System: Lessons Learnt

Within the framework of the European Union’s Horizon 2020 research and innovation program, one of the main goals of the Labyrinth project was to develop and test the Conflict Management services of a U-space-based Unmanned Traffic Management (UTM) system. The U-space concept of operations (ConOps) provides a high-level description of the architecture, requirements and functionalities of these systems, but the implementer has a certain degree of freedom in aspects like the techniques used or some policies and procedures. The current document describes some of those implementation decisions. The prototype included part of the services defined by the ConOps, namely e-identification, Tracking, Geo-awareness, Drone Aeronautical Information Management, Geo-fence Provision, Operation Plan Preparation/Optimization, Operation Plan Processing, Strategic Conflict Resolution, Tactical Conflict Resolution, Emergency Management, Monitoring, Traffic Information and Legal Recording. Moreover, a Web app interface was developed for the operator/pilot. The system was tested in simulations and real visual line of sight (VLOS) and beyond VLOS (BVLOS) flights, with both vertical take-off and landing (VTOL) and fixed-wing platforms, while assisting final users interested in incorporating drones to support their tasks. The development and testing of the environment provided lessons at different levels: functionalities, compatibility, procedures, information, usability, ground control station (GCS) integration and aircrew roles.

Reframing the public/private debate on healthcare services: Tracking boundaries in the National Health Service.

This paper intervenes in the dichotomous debate on the 'privatisation' of the UK's National Health Service (NHS). Whilst research suggests that involving private-sector actors and principles deviates from the founding aims of the NHS to deliver equitable healthcare for all, the opposing argument to 'keep our NHS public' also limits understanding and alternative possibilities. Through focusing on maintaining overarching structures, these campaigns fail to address everyday medical practices that have long been critiqued by those allied with the sociology of health and illness. This paper draws on feminist critiques of public/private to expand the structural economic lens of mainstream political debates and explore how multiple forms of economic, social, cultural, and symbolic capital, operate in everyday healthcare practices. Through an historically-informed ethnographic exploration of routine hip replacements, I find that capital itself emerges through relations between people and things, and that public/private boundaries play an integral role in forming these relations to instil value on particular patients and forms of labour, demarcating what kind of healthcare is given to whom. I therefore suggest future action should focus on assembling healthcare relations beyond the dualism of public/private categories, to create multiple safe places and relations for all.

MicroRNAs are differentially expressed in equine plasma of horses with osteoarthritis and osteochondritis dissecans versus control horses.

Osteoarthritis (OA) is a leading cause of lameness in horses with no effective disease-modifying treatment and challenging early diagnosis. OA is considered a disease of the joint involving the articular cartilage, subchondral bone, synovial membrane, and ligaments. Osteochondritis dissecans (OCD) is a joint disease consisting of focal defects in the osteochondral unit which may progress to OA later in life. MicroRNAs (miRNAs) have been recognized as small non-coding RNAs that regulate a variety of biological processes and have been detected in biological fluids. MiRNAs are currently investigated for their utility as biomarkers and druggable targets for a variety of diseases. The current study hypothesizes that miRNA profiles can be used to actively monitor joint health and differences in miRNA profiles will be found in healthy vs diseased joints and that differences will be detectable in blood plasma of tested horses. Five horses with OA, OCD, and 4 controls (C) had blood plasma and synovial fluid collected. Total RNA, including miRNA was isolated before generating miRNA libraries from the plasma of the horses. Libraries were sequenced at the Schroeder Arthritis Institute (Toronto). Differential expression analysis was done using DESeq2 and validated using ddPCR. KEGG pathway analysis was done using mirPath v.3 (Diana Tools). 57 differentially expressed miRNAs were identified in OA vs C plasma, 45 differentially expressed miRNAs in OC vs C plasma, and 21 differentially expressed miRNAs in OA vs OCD plasma. Notably, miR-140-5p expression was observed to be elevated in OA synovial fluid suggesting that miR-140-5p may serve as a protective marker early on to attenuate OA progression. KEGG pathway analysis of differentially expressed plasma miRNAs showed relationships with glycan degradation, glycosaminoglycan degradation, and hippo signaling pathway. Interestingly, ddPCR was unable to validate the NGS data suggesting that isomiRs may play an integral role in miRNA expression when assessed using NGS technologies.

Tracer Study of Bachelor of Science in Accountancy Graduates

The study primarily aims to trace the employability of the Bachelor of Science in Accountancy graduates. It focuses on determining their educational background, post-graduation activities, and employment. Moreover, the study is structured to assess the importance of undergraduate programs in fostering the skills development of graduates and the applicability of the curriculum's courses to their subsequent employment. A tracer study, elucidating graduates' educational and career paths, is a vital instrument in comprehending the outcomes of academic pursuits. Employing stratified sampling techniques, strata were derived from graduates spanning the years 2018 to 2022, ensuring comprehensive representation. In scrutinizing educational backgrounds, a notable 50.6% lacked specific certifications, with the Civil Service Examination emerging as the predominant certification at 28.1%. Influential factors in course selection were diverse, with parental influence (16.0%) and the allure of immediate employment (14.5%) exerting substantial impacts. A 14.6% of respondents in the professional training category chose the designation "Bookkeeping," indicating a substantial interest in acquiring skills related to bookkeeping. The study exposed a significant 68.4% of graduates currently employed, emphasizing the consequential impact of skill mismatches on job satisfaction. Notably, 67.8% of employment remained local, indicating a balanced representation of domestic and international work opportunities. The institutional contribution to graduates' personal growth was evident, as values like environmental responsibility and service to humanity strongly influenced professional behavior. In conclusion, this tracer study, methodically executed through stratified sampling, provides nuanced insights into graduates' educational and professional trajectories, underscoring the multifaceted influences shaping their career choices and emphasizing the integral role of education in fostering ethical and successful professionals.

Faith in Humanity: Religious Charitable Organizations Solidarity towards Migrants in the United Arab Emirates

The plight of migrants and the need to foster their integration into diverse societies are of concern to global communities, governments, and charitable organizations. This study explored the roles of philanthropic organizations in the United Arab Emirates (UAE) in demonstrating solidarity towards migrants, exploring the multifaceted dimensions of compassion and support rooted in diverse religious principles. The study adopted a qualitative approach guided by the interpretivist paradigm when collecting and analyzing data. From its findings, the study highlights the integral role they play in addressing the complex needs of migrant communities. For instance, they provide food and financial support in clearing hospitals, tuition, and rent bills. In addition, the findings show that the organizations identify migrants in need through their open-door policy, encouraging those in need of support to contact them directly, with collaboration also being essential for the effectiveness of their services. By affirming the positive contributions of religious charities, this study underscores their role in promoting the well-being and social cohesion of migrants, ultimately exemplifying a shared commitment to humanitarian values and reinstating faith in the collective capacity for compassion and solidarity.

Spatial pattern of China's rural digital economy based on subjective-Objective evaluation: Evidence from 2085 counties.

The rural digital economy plays an essential role in China's industrial upgrading, transformation, and urban-rural integration. To determine the state of China's rural digital economy, we constructed a county-level evaluation system using the subjective-objective evaluation method and calculated the digital economic levels of 2085 counties. Then, we analyzed the spatial distribution characteristics, spatial autocorrelation pattern, spatial disequilibrium degree, and spatial driving force of the rural digital economy at the county level using spatial analysis technology and a self-organizing feature mapping model. The results are as follows: 1) Compared with the real economy, the agglomeration effect of the digital economy was more obvious, and the economic gradient was more significant. Specifically, the dense high-value regions formed a continuous belt on the eastern coast from the Beijing-Tianjin area to the Pearl River Delta, opposite the dense low-value regions in the west. 2) There were significant differences in the rural digital economy within cities or provinces. Intraregional differences were not necessarily linked to the overall digital economy level because central and northeastern China presented a more balanced rural digital economy. 3) Digital network performance, e-commerce level, and economic vitality were identified as the core factors influencing the rural digital economy.

Sensitivity assessment of the crack propagation behavior in welded stiffened panels

ABSTRACT Welded stiffened panels play an integral role in maintaining the strength, stability, and lightweight characteristics of marine vessels. The stiffeners also affect the service life of the structure under propagating cracks. In this context, properly quantifying the effect of various input parameters on the fatigue crack propagation behavior is crucial to accurately predict the service life. This paper quantifies the influence of relevant input parameters, covering geometric and mechanical properties, on the crack propagation and fatigue service life of welded stiffened panels. Three-dimensional finite element analysis, artificial neural networks, and an elastic-plastic crack advancement rule are integrated to predict the crack propagation. Variance-based sensitivity analysis is conducted to evaluate the effect of variability in the considered input parameters on the variance of the fatigue service life of these panels. It was found that neglecting the uncertainties associated with the geometric parameters can lead to unconservative estimates of the fatigue reliability.

Ecological and evolutionary dynamics of cell-virus-virophage systems.

Microbial eukaryotes, giant viruses and virophages form a unique hyperparasitic system. Virophages are parasites of the virus transcription machinery and can interfere with virus replication, resulting in a benefit to the eukaryotic host population. Surprisingly, virophages can integrate into the genomes of their cell or virus hosts, and have been shown to reactivate during coinfection. This raises questions about the role of integration in the dynamics of cell-virus-virophage systems. We use mathematical models and computational simulations to understand the effect of virophage integration on populations of cells and viruses. We also investigate multicellularity and programmed cell-death (PCD) as potential antiviral defence strategies used by cells. We found that virophages which enter the cell independently of the host virus, such as Mavirus, are expected to integrate commonly into the genomes of their cell hosts. Our models suggest that integrations from virophages without an independent mode of entry like Sputnik, are less likely to become fixed in the cell host population. Alternatively, we found that Sputnik virophages can stably persist integrated in the virus population, as long as they do not completely inhibit virus replication. We also show that increasing virophage inhibition can stabilise oscillatory dynamics, which may explain the long-term persistence of viruses and virophages in the environment. Our results demonstrate that inhibition by virophages and multicellularity are effective antiviral strategies that may act in synergy against viral infection in microbial species.

Economic Integration between Refugee Settlements and Host Communities

With 1.5 million refugees and a refugee policy that promotes long-term settlement and self-sufficiency, understanding the impact of refugees on host communities in Uganda is a critical issue. Of particular concern – not only in Uganda, but all refugee-hosting countries – is the economic impact of refugees; while refugees attract aid money into the local economy, the mass distribution of in-kind goods can drive local prices and wages down. Moreover, little is known about the role of economic integration between refugees and hosts, especially in situations of protracted displacement. Using a mixed methods approach with panel survey data and semi-structured interviews, we show significant integration between refugees and hosts that is widely perceived as positive. Results indicate that refugees provide goods and services at lower costs to hosts and often of higher quality than found elsewhere. Yet, these interactions, especially through markets, create competition and may lower prices and wages since proximity to refugees is associated with lower host labor participation and earnings from crop production. The net welfare effect for hosts of being close to refugees are found to be ambiguous.

Probiotics as modulators of gut-brain axis for cognitive development.

Various microbial communities reside in the gastrointestinal tract of humans and play an important role in immunity, digestion, drug metabolism, intestinal integrity, and protection from pathogens. Recent studies have revealed that the gut microbiota (GM) is involved in communication with the brain, through a bidirectional communication network known as the gut-brain axis. This communication involves humoral, immunological, endocrine, and neural pathways. Gut dysbiosis negatively impacts these communication pathways, leading to neurological complications and cognitive deficits. Both pre-clinical and clinical studies have demonstrated that probiotics can restore healthy GM, reduce intestinal pH, and reduce inflammation and pathogenic microbes in the gut. Additionally, probiotics improve cell-to-cell signaling and increase blood-brain-derived neurotrophic factors. Probiotics emerge as a potential approach for preventing and managing neurological complications and cognitive deficits. Despite these promising findings, the safety concerns and possible risks of probiotic usage must be closely monitored and addressed. This review article provides a brief overview of the role and significance of probiotics in cognitive health.

Decoding p53 tumor suppression: a crosstalk between genomic stability and epigenetic control?

Genomic instability, a hallmark of cancer, is a direct consequence of the inactivation of the tumor suppressor protein p53. Genetically modified mouse models and human tumor samples have revealed that p53 loss results in extensive chromosomal abnormalities, from copy number alterations to structural rearrangements. In this perspective article we explore the multifaceted relationship between p53, genomic stability, and epigenetic control, highlighting its significance in cancer biology. p53 emerges as a critical regulator of DNA repair mechanisms, influencing key components of repair pathways and directly participating in DNA repair processes. p53 role in genomic integrity however extends beyond its canonical functions. p53 influences also epigenetic landscape, where it modulates DNA methylation and histone modifications. This epigenetic control impacts the expression of genes involved in tumor suppression and oncogenesis. Notably, p53 ability to ensure cellular response to DNA demethylation contributes to the maintenance of genomic stability by preventing unscheduled transcription of repetitive non-coding genomic regions. This latter indicates a causative relationship between the control of epigenetic stability and the maintenance of genomic integrity in p53-mediated tumor suppression. Understanding these mechanisms offers promising avenues for innovative therapeutic strategies targeting epigenetic dysregulation in cancer and emphasizes the need for further research to unravel the complexities of this relationship. Ultimately, these insights hold the potential to transform cancer treatment and prevention strategies.

Essential growth factor receptors for fibroblast homeostasis and activation

Fibroblasts are cells of mesenchymal origin that are found throughout the body. While these cells have several functions, their integral roles include maintaining tissue architecture through the production of key extracellular matrix components, and participation in wound healing after injury. Fibroblasts are also key mediators in disease progression during fibrosis, cancer, and other inflammatory diseases. Under these perturbed states, fibroblasts can activate into inflammatory fibroblasts or contractile myofibroblasts. Fibroblasts require various growth factors and mitogenic molecules for survival, proliferation, and differentiation. While the activity of mitogenic growth factors on fibroblasts in vitro was characterized as early as the 1970s, the proliferation and differentiation effects of growth factors on these cells in vivo are unclear. Moreover, recent work exploring the heterogeneity of fibroblasts raises questions as to whether all fibroblast cell states exhibit the same growth factor requirements. Here, we will examine and review existing growth factors known to influence fibroblast homeostasis to begin unpacking the potential growth factors that may influence in vivo fibroblast cell states.

Machine Learning Method and Hyperspectral Imaging for Precise Determination of Glucose and Silicon Levels.

This article introduces an algorithm for detecting glucose and silicon levels in solution. The research focuses on addressing the critical need for accurate and efficient glucose monitoring, particularly in the context of diabetic management. Understanding and monitoring silicon levels in the body is crucial due to its significant role in various physiological processes. Silicon, while often overshadowed by other minerals, plays a vital role in bone health, collagen formation, and connective tissue integrity. Moreover, recent research suggests its potential involvement in neurological health and the prevention of certain degenerative diseases. Investigating silicon levels becomes essential for a comprehensive understanding of its impact on overall health and well-being and paves the way for targeted interventions and personalized healthcare strategies. The approach presented in this paper is based on the integration of hyperspectral data and artificial intelligence techniques. The algorithm investigates the effectiveness of two distinct models utilizing SVMR and a perceptron independently. SVMR is employed to establish a robust regression model that maps input features to continuous glucose and silicon values. The study outlines the methodology, including feature selection, model training, and evaluation metrics. Experimental results demonstrate the algorithm's effectiveness at accurately predicting glucose and silicon concentrations and showcases its potential for real-world application in continuous glucose and silicon monitoring systems.

Bridging the Worlds of Art and Science

Integrating theoretical concepts into practical applications is crucial, especially in specialized fields like art conservation science. Bridging this gap between chemistry pedagogy and practical application is essential in developing students' skills in applicable contexts. This article aims to introduce a novel pedagogical methodology for enhancing learning in chemistry. This strategic assignment focuses on conserving cultural heritage artifacts, emphasizing the practical application of chemistry concepts. The article seeks to explore the potential benefits of this approach and provide insights into how to implement such assignments in general chemistry courses. The assignment requires students to select and analyze artwork of cultural significance while applying central chemistry concepts from the course curriculum to the conservation process. The students will then prepare written reports following a pre-established template. The student reports will serve as a valuable educational resource for future students. This approach creates a conducive environment for immersive learning by showcasing the practical application of course concepts within art conservation science. From the assignment, students demonstrated a nuanced understanding of chemistry's integral role in preserving cultural heritage, acknowledging the interplay between environmental conditions, material properties, and their impact on artifact longevity. They appreciated the necessity of chemical analysis in determining artifact composition, guiding the development of tailored conservation methodologies. Notably, students recognized the value of these preservation efforts in maintaining historical authenticity, serving as educational tools, and bolstering cultural pride.