Miracle-dz/UniFAR-FTUs huggingface dataset:
The Principles of Forming of the Mathematical Model of Nanoelectronic Components of Quantum Computer Systems with Memresistance Branches

— The element base, based on the use of a variety of low-dimensional structures, is the most promising for new generations of electronic technology. However, in the transition to nanometer-scale systems, the quantum-mechanical nature of quasiparticles in a solid begins to manifest itself clearly. As a result, there is a situation when quantum effects begin to play a key role in physical processes in such objects and in the functioning of devices based on them. Since nanoelectronic components are components of modules and units of quantum computing systems, the task arises to study the physical processes and features of circuit design of electronic devices built on the basis of nanoelectronic structures. To this end, it is necessary to develop a generalized structural-parametric model of hybrid radioelectronic systems based on micro-and nanoelectronic components, taking into account the influence of uncertain factors of the external and internal environment, to evaluate the behavior of such complex devices in different operating conditions. In article features of forming of mathematical models of components of quantum computer systems with introduction to structure of the electric multiterminal network of the branches containing a new element of a nanoelectronics - the memristor are considered.
Inter-connected coupled lines Resonator topology for bandpass filter application

This paper presents an inter-connected side-shorted coupled-line resonator topology as a base cell. The base cell is built from two single-shorted quarter-wavelength coupled-line sections, connected in series to give a half-wavelength coupled-line that creates a single resonance of bandpass filter response. Higher-order bandpass filter is produced by adding new single-shorted coupled-line sections, cascaded in an inter-connected manner to the base cell. This new topology creates a unique arrangement that caused cross coupling effects between the resonators, resulting to the occurrence of transmission zeros that lead to the improvement of selectivity of the higher order bandpass filter response. For validation of concept, 2 nd and 3 rd order bandpass filters were fabricated using microstrip technology on Roger 3210 substrate with parameter of Ɛr = 10.2, h = 1.27 mm and tan δ = 3x10-3. The filters were measured and the results show good agreement with simulation results.
Passivity-Based Design of Grid-Side Current-Controlled $LCL$-Type Grid-Connected Inverters

The frequency-domain passivity theory offers an effective way to assess the stability of inverters connecting to complex grid conditions, e.g., inductive grid, capacitive grid, and system comprising multiple inverters. In this article, an admittance model for the grid-side current-controlled $LCL$-type inverter with capacitor voltage feedforward active damping (CVF-AD) is built to facilitate the passivity-based stability assessment and controller parameter design. Especially, it is found that if the antiresonance frequency of the inverter-side inductor and the filter capacitor is designed in a certain region, i.e., $(\text{0.66}f_c + \text{0.034}f_s, \text{0.22}f_s)$, all frequencies’ passive output admittance of the inverter can be achieved via a modified CVF-AD scheme with simple digital implementation. Thanks to the proposed methods, the inverter can be connected to the grid regardless of the grid impedance, which means a robust plug-and-play functionality suitable for microgrid applications. In addition, the controller parameters are analytically designed; time-consuming iterations are, hence, avoided. The allowable tolerance of power circuit parameters for a valid controller parameter design is as high as 64% or more. The validity of the theoretical analysis and effectiveness of the proposed method are verified by using experimental results on a laboratory prototype.
A virtual reality role-playing serious game for experiential learning

ABSTRACT Educational systems can benefit from Virtual Reality’s (VR) ability to support experiential learning. In particular, VR based games, especially role-playing serious games (RPGs), can promote learning through the simulation of various educational scenarios. This study proposes an immersive VR-RPG to educate players about the behavior of honeybees. The player adopts the role of a honeybee and experiences a virtual world mimicking the real one from the honeybee’s perspective. Unlike most studies in educational VR, we assess the impact of immersion on knowledge gain by testing the players’ knowledge on the subject before, immediately after, and one week following the use of the system. We also compare the proposed system with both a conventional and a desktop VR-RPG approach. The results indicate that students significantly gained knowledge in all methods compared to the pre-test. We found that the immersion level for both tested VR-RPGs did not have a significant effect on learning. However, the study showed an improvement in knowledge retention for the desktop VR-RPG users compared to those of the conventional method. Moreover, the results revealed that users of the immersive and desktop VR-RPGs were more motivated and engaged compared to those of the conventional method.
Aflapin®: A novel and selective 5-lipoxygenase inhibitor for arthritis management

Osteoarthritis (OA) is the most common form of arthritis characterized by progressive destruction of joint cartilage tissue, pain and inflammation, stiffness, and impaired physical activity. It is the most prevalent and leading cause of pain and disability across the globe. During the pain and inflammatory process, 5-lipoxygenase (5-LOX) pathway is also involved, which generates leukotrienes (LTs), namely LTB4 and cysteinyl LTs. Osteoblasts also synthesize LTs, which stimulate and enhance the production of interleukin 1, tumor necrosis factor α, and various other cytokines that are potent inflammatory mediators. LT formation leads to cartilage degradation and compensates chondrocyte-mediated cartilage repair mechanism. Current therapies include nonsteroidal anti-inflammatory drugs, analgesics, and disease-modifying agents, but do not affect 5-LOX pathway. Boswellia serrata extract–derived boswellic acids are specific, non-redox inhibitors of 5-LOX, and 3-O-acetyl-11-keto-β-boswellic acid (AKBA) possesses the most potent 5-LOX inhibitory activity. B. serrata extracts have shown significant efficacy and safety in the treatment of various inflammatory disorders such as OA, rheumatoid arthritis, asthma, and inflammatory bowel diseases. Aflapin® is a novel synergistic composition containing B. serrata extract selectively enriched with 20% AKBA and B. serrata nonvolatile oil. Aflapin® is a patented, selective, and most potent 5-LOX inhibitor, which significantly reduces joint pain, inflammation, stiffness, and improves physical function compared to placebo and other B. serrata extract. Aflapin® also significantly reduces matrix metalloproteinase levels, enhances chondrocytes proliferation, and increases glycosaminoglycans levels, thereby providing cartilage protection in arthritis. Numerous in vitro studies, preclinical studies, and clinical studies suggest the potential of Aflapin® as a useful therapeutic intervention for the management of arthritis.
CATALYSING GLOBAL PEACE THROUGH THE STRENGTHENING OF FORENSIC SCIENCE APPLICATION IN SHARĪ‘AH LAW

On 1 January 2016, the United Nations (UN) General Assembly promoted peace among the countries in the world through the 2030 Agenda for Sustainable Development Goals (SDGs). The Global Peace Index (GPI) 2018 however shows that such a goal is likely to be affected by the unresolved chaos the world has been experiencing for the past decade, which has brought about a gradual decline of peacefulness. This discussion involves the application of current legislation and how effective the legislation is in contributing to the peace agenda. In countries that practice Sharī‘ah law, previous studies have shown that rejuvenation of the law could play an important role in this matter. Therefore, this study proposes the idea of catalysing global peace through the strengthening of forensic science application in Sharī‘ah law. The qualitative study applies the inductive and deductive approach in obtaining general and specific conclusions from primary and secondary sources. The findings from this study show that forensic science application is relevant to Sharī‘ah law based on precedent shariah cases. This specifically involves Islamic evidence law, civil law, criminal law and criminal procedure code which fulfils some of the suggestions in the UN’s Sustainable Development Goals and the Positive Peace pillars issued by the Institute for Economics and Peace (IEP). It is hoped that the proposed suggestions will catalyse global peace, improve the GPI in the upcoming years and make the 2030 Agenda for Sustainable Development a reality.
On Common Beliefs

This thesis discusses how probabilistic multi-agent common belief can be defined. It also attempts to provide insight into what constitutes belief. Further, it proposes an algorithm to measure the strength of such common belief by redefining common belief as a bayesian network in form of a directed cyclic graph, and discusses common belief in terms of computational complexity and the depth of belief.
Neutrophil Responses to Borrelia burgdorferi Infection are Aberrant in a Murine Model of Obesity Independent Diabetes

The incidence of both Lyme disease and diabetes is rising in many countries. Metabolic, cardiovascular and/or immune dysregulation associated with diabetes could alter host susceptibility to infection or inflammatory outcomes of infection by the Lyme disease pathogen, Borrelia burgdorferi. Hyperglycemia–a cardinal feature of diabetes–is known to alter components of the immune system. To determine if obesity independent diabetes alters susceptibility to and outcomes of B. burgdorferi infection, two different strains of mice were rendered hyperglycemic and infected with this bacterium, and bacterial burden in tissues, dissemination, inflammation in infected heart, circulating blood cells levels, and neutrophil responses to infection were measured. Delayed and aberrant neutrophilbased immune responses to B. burgdorferi infection in diabetes were associated with reduced bacterial clearance in diabetic mice but no difference in Lyme disease pathology. Diabetes and metabolic disorders might have the potential to alter outcomes of B. burgdorferi infection in humans as well.
Structural and functional analysis of Zika virus nonstructural protein 1 by structural genomics approach

Annals of Tropical Medicine and Public Health | Volume 10 | Issue 6 | November December 2017 1844 aim to improve the involvement of the disabled young people on various issues and policies that affect their health, especially with regard to preventing sexual violence and maintenance of optimal sexual and reproductive health. [5] It also aims to neutralize the existing barriers or stereotype practices prevalent in the community and facilitate social inclusion. [5] The initiative is based on the fact that if disabled people are not informed about their rights or taught about their sexual and reproductive health, their quality of life will never improve and they will be maltreated throughout their lives. [1,4,5]
SAT0074 Persistence with metformin treatment and onset of rheumatoid arthritis

Background Several studies have suggested that metformin, an oral hypoglycemic agent, possess an anti-inflammatory property and may have a role in the treatment of rheumatoid arthritis (RA)1,2, but little is known on its preventive effects. Objectives To examine the association between persistence with metformin and the onset of RA. Methods Using the computerized medical database of a large health organization in Israel (Maccabi Healthcare Services, MHS) we have identified incident RA cases among new users of metformin between 1998 and 2014. Included were patients aged 18 or above with one year of follow up before and after the therapy initiation. RA was defined according to physician diagnoses. Participants were followed until the earliest of the following dates: onset of RA, leaving MHS, death, end of follow up (1.1.2016). Persistence with metformin was assessed by calculating the mean proportion of follow-up days covered (PDC) with metformin during the study period. Results A total of 113,749 eligible patients were included. During the study follow up period (794,386 person-years) we identified 600 incident cases (incidence rate of 75 cases per 100,000 PY). The incidence of RA in women (111 per 100,000 PY) was higher compared to men (42 per 100,000 PY). In a multivariable model, persistence with metformin (PDC≥80%) was associated with lower risk of RA (hazard ratio (HR) 0.66; 95% confidence interval (CI) 0.53–0.82) compared to non-persistent participants (PDC<20%). Figure 1 shows the hazard function according to persistence with metformin treatment. Similar risk reduction was observed among men but did not reach statistical significance (HR=0.85; 95% CI 0.54–1.32). Conclusions In the present study, we observed an association between high persistence to metformin therapy and reduced risk of developing RA in women. Disclosure of Interest None declared
Specialized biobank for Diabetes Research: current prospect

The exponential increase in human population depicted by the recent population trend shows that every 15 years the world population would increase by at least 1 billion. Consequently, there is a large increase in the use of human biospecimens for academic and pharmaceutical research. The global demand for human biospecimen is estimated to be worth $700 million and projected to increase 20%–30% annually. Biospecimens and associated data sharing are essential for biomedical research findings, discovery of disease markers, and improving patients’ health care. One of the most prevalent chronic diseases worldwide that involves extensive interdisciplinary research-based studies is diabetes. In this review, we emphasized the need and importance of biobanks in diabetes, which will serve as a resource to promote research in understanding disease link, and mechanisms related to molecular pathways, protein and drug targets, and also in improving health outcomes.
Método computacional para establecer un esquema de identificación de Mycobacterium tuberculosis a partir de secuencias genómicas

El complejo Mycobacterium tuberculosis es un grupo de agentes patogenicos caracterizados principalmente por causar tuberculosis en distintos animales. En la actualidad metodos mas eficientes y efectivos para identificar el patogeno a nivel de especie son requeridos tomando provecho de los datos obtenidos por tecnicas de secuenciamiento de genoma completo. A lo largo de este trabajo se expone una manera distinta para abarcar el problema de identificacion de genomas como uno de clasificacion en el area de aprendizaje de maquina, agregando pasos adicionales en comparacion con los pipelines de preprocesamiento actuales e incluyendo regiones intergenicas para de esta manera abarcar el total de la informacion genomica en cada muestra. Adicionalmente, un conjunto de genomas del genero Mycobacterium fue seleccionado para entrenar el modelo y de esta manera identificar las diferencias mas relevantes a traves de una busqueda de homologia y construir una representacion del genoma a partir de agrupamientos iterativos y con indices de variablidad fijos que permitieran visualizar grupos de secuencias candidatas para la diferenciacion. Entre los resultados del presente trabajo se entreno un modelo que establece un conjunto de secuencias representativas por su caracter discriminatorio y que sugieren una firma a partir de la comparacion entre dos grupos de especies, ademas de permitir asignar nuevas muestras a una de las dos categorias taxonomicas de interes basada en sus agrupaciones de secuencias de ADN mas relevantes. Tambien se construyo una nueva herramienta de evaluacion para los metodos in silico actuales basados en tecnicas de tipificacion, obteniendo mejores metricas para la clasificacion al utilizar la implementacion resultante del presente trabajo.
Developing a Quality Audit Report for General Practice Prescribing for Hypertension: Methodology

This research aims to design and validate a Quality Audit Report (QAR) for clinical audit in general practice chronic disease management. We focus on the suitability of routinely collected Patient Management System (PMS) data as the basis for quality audit statistics. We are working with an expert panel representing the clinicians of a general practice to identify appropriate PMS-derived statistics to provide descriptive, supportive and cautionary characterisations of their chronic disease management. The report development is centring on their management of hypertension and relevant co-morbidities. After several iterations of report development a sample of patients will be reviewed by the expert panel, blind to the patientsâ€™ reporting classifications, to assess the sensitivity and specificity of the QAR. Lessons from initial iterations of the QAR development process indicate that the temporal subtlety and explosion of possible reporting statistics are major issues in defining useful quality improvement statistics where contraindications and combination therapies are involved.
Detection of Sensitive Data to Counter Global Terrorism

Global terrorism has created challenges to the criminal justice system due to its abnormal activities, which lead to financial loss, cyberwar, and cyber-crime. Therefore, it is a global challenge to monitor terrorist group activities by mining criminal information accurately from big data for the estimation of potential risk at national and international levels. Many conventional methods of computation have successfully been implemented, but there is little or no literature to be found that solves these issues through the use of big data analytical tools and techniques. To fill this literature gap, this research is aimed at the determination of accurate criminal data from the huge mass of varieties of data using Hadoop clusters to support Social Justice Organizations in combating terrorist activities on a global scale. To achieve this goal, several algorithmic approaches, including parallelization, annotators and annotations, lemmatization, stop word Remover, term frequency and inverse document frequency, and singular value decomposition, were successfully implemented. The success of this work is empirically compared using the same hardware, software, and system configuration. Moreover, the efficacy of the experiment was tested with criminal data with respect to concepts and matching scores. Eventually, the experimental results showed that the proposed approach was able to expose criminal data with 100% accuracy, while matching of multiple criminal terms with documents had 80% accuracy; the performance of this method was also proved in multiple node clusters. Finally, the reported research creates new ways of thinking for security agencies in combating terrorism at global scale.
Frailty and cardiovascular disease

Cardiovascular disease (CVD) comprises a vast spectrum of disease states ranging from hypertension (HTN) to valvular heart disease (VHD). CVD is known to be the lead‐ ing cause of morbidity, mortality, and health‐care expenditure throughout the world. According to the World Health Organization, coronary artery disease (CAD) and stroke, both subsets of CVD, are the world’s biggest killers, accounting for a combined 15 mil‐ lion deaths in 2015. These diseases have remained the leading causes of death globally in the last 15 years. In 2010, CAD alone was projected to cost the U.S. $ 108.9 billion includ‐ ing the cost of health‐care services, medications, and lost productivity. The presence of frailty significantly worsens outcomes for patients suffering from CAD. With just this one example of how frailty affects CVD, it is clear that understanding the impact of frailty upon patients afflicted with the spectrum of cardiovascular disease is integral for the care of this very significant patient population.
The Comparison of ‘Knowledge of Result’ and ‘Knowledge of Performance’ in the Children with Cerebral Palsy

Korea Purpose: The purpose of this study was to compare the effect of ‘knowledge of result’ and ‘knowledge of performance’, two types of extrinsic feedbacks, during the sit - to - stand movement in children with hemiplegic cerebral palsy. Methods: A total of ten children with hemiplegic cerebral palsy (ages 8 to 12 years) were recruited for the study. Subjects with hemiplegic cerebral palsy performed sit - to - stand movement in front of a mirror. Their performance was supervised and revised for normal movement by a pediatric physiotherapist. In the knowledge of the result, subjects performed sit - to - stand using a chair with an armrest in their mind with normal movement. In the knowledge of performance, subjects performed sit - to - stand under verbal instructions. Randomized cross over trials were used in this study. Main outcome measurements were as follows: mediolateral speed, anteroposterior speed, velocity moment, extent in mediolateral direction, extent in anteroposterior direction, and vertical distance of the center of pressure. Results: The mediolateral speed and extent of center of pressure was higher for ‘knowledge of performance’ in comparison with the other type of extrinsic feedbacks (p<0.05). The other parameters, including anteroposterior speed and extent, and vertical speed of the center of pressure, did not differ between the two types of extrinsic feedbacks (p>0.05). Conclusion: These findings suggested that training in sit-to-stand movement with ‘knowledge of result’ may result in better use of extrinsic
A constructive view of the non-compliant patient: Understanding barriers to compliance and proposed solutions

Patient non-Gompliance is a complex, multifaceted phenomenon. Using a constructivist paradigm, this study examined the diverse perspectives of hospital employees on non-compliance, the barriers to compliance and possible sblutions. Information gleened from this study supported the literature in that education, culture, language barriers, apathy among patients and staff, patient support systems, financial and resource issues, and limitations of staff impact a patients ability to comply with a regimen and must be taken into consideration when attempts are made to improve compliance rates. Understanding reasons for non­ compliance is critical to arriving at a solution(s) due to the changing nature of the health care system. Early intervention by the hospital social worker will continue to increase in order to assess doctor/patient communication, family perception of the patient's disease, the patient's understanding/ and ability to follow the post-hospital regimen. The "constant comparative method" proposed by Lincoln & Guba, (1985), was used for data analysis.