Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of patients adherence to therapeutic recommendations after percutaneous coronary intervention in Al-Najaf Al-Ashraf governorate

Cardiac catheterization (CC) is a technique in which a symptomatic patient with heart disease undergoes a routine that necessitates hospitalization. This study aims to assess patients’ adherence to therapeutic recommendations after percutaneous coronary intervention. Cross-sectional quantitative descriptive design carried out in Al-Najaf Governorate. Non-probability purposive sampling consisted of 120 patients with coronary artery disease for at least six months after percutaneous coronary intervention. The start date was from October 1st, 2020 and last to May 1th, 2022. The data gathered via interview method by Adhrerence questionnaire which include 54 items. This study finds that from sample 40.8% were within 51-60 years old, 65.8% were male, 20.8% were intermediate school graduated, 59.2% were rural residence, 90% were married, 72.5% experienced CAD for less than 6 years, 98.3% received therapeutic recommendations, 38.3% admitted for the second time, and 70.8% have fair level of adherence. In turn Age, level of education, disease duration significantly associated with adherence variable. Patients’ adherence to therapeutic recommendations is moderate after PCI. As age increases, adherence to therapeutic recommendations decreases. Good level of adherence accelerates among patients with high educational level.Longer disease duration accompanying with poor adherence.
Differential diagnostic performance of a panel of plasma biomarkers for different types of dementia

We explored what combination of blood‐based biomarkers (amyloid beta [Aβ]1‐42/1‐40, phosphorylated tau [p‐tau]181, neurofilament light [NfL], glial fibrillary acidic protein [GFAP]) differentiates Alzheimer's disease (AD) dementia, frontotemporal dementia (FTD), and dementia with Lewy bodies (DLB).
A sensemaking perspective on the roll-out of transdisciplinary learning communities in an academic environment from Bolivia

ABSTRACT Through a sensemaking lens, this article investigates the concrete appropriation of the so-called transdisciplinary learning communities-approach (TLC for short) as part of a Flemish–Bolivian university cooperation project for development. The article has its empirical basis in ethnographic research conducted between 2017 and 2020 on four campuses of the Bolivian university UCB. The primary data is the so-called organisational talk, gathered through interviews, participant observations, and meetings with Bolivian university staff members who are the main players involved in the Flemish–Bolivian university cooperation project. The analysis suggests that an informal, horizontal, and symmetrical style of organisational communication between organisational members seems to have a positive impact on the appropriation of TLC, which in turn leads to more successful experiences of cooperation with communities and other external partners in the social environment.
Predicting the Kidney Graft Survival Using Optimized African Buffalo-Based Artificial Neural Network

A variety of receptor and donor characteristics influence long-and short-term kidney graft survival. It is critical to predict the effectiveness of kidney transplantation to optimise organ allocation. This would allow patients to choose the best accessible kidney donor and the optimal immunosuppressive medication. Several studies have attempted to identify factors that predispose to graft rejection, but the results have been contradictory. As a result, the goal of this paper is to use the African buffalo-based artificial neural network (AB-ANN) approach to uncover predictive risk variables related to kidney graft. These two feature selection approaches combine to provide a novel hybrid feature selection technique that could select the most important elements to improve prediction accuracy. The feature analysis revealed that clinical features have varied effects on transplant survival. The collected data is processed in both training and testing methods. The prediction model's performance, in terms of accuracy, precision, recall, and F-measure, was examined, and the results were compared with those of other existing systems, including naive Bayesian, random forest, and J48 classifier. The results suggest that the proposed approach can forecast graft survival in kidney recipients' next visits in a creative manner and with more accuracy compared with other classifiers. This proposed method is more efficient for predicting kidney graft survival. Incorporating those clinical tools into outpatient clinics' everyday workflows could help physicians make better and more personalised decisions.
Wideband circularly polarized dipole antenna with loaded directors and stable radiation pattern

A wideband circularly polarized (CP) crossed‐dipole antenna is proposed. It consists of two crossed dipoles, four trapezoidal patches, and four rectangular directors. The crossed dipoles are connected by three‐quarter metal rings and fed by a 50 Ω coaxial cable to generate CP radiation. The trapezoidal patches are adopted to enhance the impedance matching and axial ratio (AR) at the lower frequency band. The rectangular directors are employed to not only enhance the impedance matching and axial ratio but also stabilize the radiation pattern with high gain over the wide frequency band. This antenna has a wide impedance bandwidth of 92.3% (1.76–4.8 GHz）for |S11 | < −10 dB and a wide axial ratio bandwidth of 85.6% (1.76–4.4 GHz) for AR < 3 with stable radiation pattern and a peak gain of 8.4 dBi.
Beschreibung des Augenhintergrundes durch Approximation von geometrischen Grundkörpern und Funktionen an dessen Topographie (Description of the Eye's Background by Approximation of Elementary Geometric Features and Functions to its Topography)

Auf der Basis von Stereodias des Augenhintergrundes wird dessen Topographie rekonstruiert. Digitale Bildverarbeitungsverfahren ermöglichen eine qualitative Bewertung von Veränderungen der Papillenmorphologie, sodass eine beginnende Glaukomerkrankung frühzeitig erkannt werden kann.
Mercantilism Revisited

The intention of this paper is to look at some of the problems which arise in attempts to provide ‘explanations’ of mercantilism and especially its English manifestations. By ‘explanations’ I mean the efforts which some writers have made causally to relate the historical appearance of sets of economic notions or general recommendations on economic policy or even acts of economic policy by the state to particular long-term phenomena of, or trends in, economic history. Historians of economic thought have not generally made such attempts. With a few exceptions they have normally concerned themselves with tracing and analysing the contributions to economic theory made by those labelled as mercantilists. The most extreme case of non-explanation is provided by Eli Heckscher's reiterated contention in his two massive volumes that mercantilism was not to be explained by reference to the economic circumstances of the time; mercantilist policy was not to be seen as ‘the outcome of the economic situation’; mercantilist writers did not construct their system ‘out of any knowledge of reality however derived’. So strongly held an antideterminist fortress, however congenial a haven for some historians of ideas, has given no comfort to other historians – economic or political, Marxist or non-Marxist – who obstinately exhibit empiricist tendencies. Some forays against the fortress have been made. Barry Supple's analysis of English commerce in the early seventeenth century and the resulting presentation of mercantilist thought and policy as ‘the economics of depression’ has passed into the textbooks and achieved the status of an orthodoxy.
Tyrosine Kinase Src Is a Regulatory Factor of Bone Homeostasis

Osteoclasts, which resorb the bone, and osteoblasts, which form the bone, are the key cells regulating bone homeostasis. Osteoporosis and other metabolic bone diseases occur when osteoclast-mediated bone resorption is increased and bone formation by osteoblasts is decreased. Analyses of tyrosine kinase Src-knockout mice revealed that Src is essential for bone resorption by osteoclasts and suppresses bone formation by osteoblasts. Src-knockout mice exhibit osteopetrosis. Therefore, Src is a potential target for osteoporosis therapy. However, Src is ubiquitously expressed in many tissues and is involved in various biological processes, such as cell proliferation, growth, and migration. Thus, it is challenging to develop effective osteoporosis therapies targeting Src. To solve this problem, it is necessary to understand the molecular mechanism of Src function in the bone. Src expression and catalytic activity are maintained at high levels in osteoclasts. The high activity of Src is essential for the attachment of osteoclasts to the bone matrix and to resorb the bone by regulating actin-related molecules. Src also inhibits the activity of Runx2, a master regulator of osteoblast differentiation, suppressing bone formation in osteoblasts. In this paper, we introduce the molecular mechanisms of Src in osteoclasts and osteoblasts to explore its potential for bone metabolic disease therapy.
Physiological Importance of Molybdate Transporter Family 1 in Feeding the Molybdenum Cofactor Biosynthesis Pathway in Arabidopsis thaliana

Molybdate uptake and molybdenum cofactor (Moco) biosynthesis were investigated in detail in the last few decades. The present study critically reviews our present knowledge about eukaryotic molybdate transporters (MOT) and focuses on the model plant Arabidopsis thaliana, complementing it with new experiments, filling missing gaps, and clarifying contradictory results in the literature. Two molybdate transporters, MOT1.1 and MOT1.2, are known in Arabidopsis, but their importance for sufficient molybdate supply to Moco biosynthesis remains unclear. For a better understanding of their physiological functions in molybdate homeostasis, we studied the impact of mot1.1 and mot1.2 knock-out mutants, including a double knock-out on molybdate uptake and Moco-dependent enzyme activity, MOT localisation, and protein–protein interactions. The outcome illustrates different physiological roles for Moco biosynthesis: MOT1.1 is plasma membrane located and its function lies in the efficient absorption of molybdate from soil and its distribution throughout the plant. However, MOT1.1 is not involved in leaf cell imports of molybdate and has no interaction with proteins of the Moco biosynthesis complex. In contrast, the tonoplast-localised transporter MOT1.2 exports molybdate stored in the vacuole and makes it available for re-localisation during senescence. It also supplies the Moco biosynthesis complex with molybdate by direct interaction with molybdenum insertase Cnx1 for controlled and safe sequestering.
Face Presentation Attack Detection Using Deep Background Subtraction

Currently, face recognition technology is the most widely used method for verifying an individual’s identity. Nevertheless, it has increased in popularity, raising concerns about face presentation attacks, in which a photo or video of an authorized person’s face is used to obtain access to services. Based on a combination of background subtraction (BS) and convolutional neural network(s) (CNN), as well as an ensemble of classifiers, we propose an efficient and more robust face presentation attack detection algorithm. This algorithm includes a fully connected (FC) classifier with a majority vote (MV) algorithm, which uses different face presentation attack instruments (e.g., printed photo and replayed video). By including a majority vote to determine whether the input video is genuine or not, the proposed method significantly enhances the performance of the face anti-spoofing (FAS) system. For evaluation, we considered the MSU MFSD, REPLAY-ATTACK, and CASIA-FASD databases. The obtained results are very interesting and are much better than those obtained by state-of-the-art methods. For instance, on the REPLAY-ATTACK database, we were able to attain a half-total error rate (HTER) of 0.62% and an equal error rate (EER) of 0.58%. We attained an EER of 0% on both the CASIA-FASD and the MSU MFSD databases.
Innovative algal bacterial processes for wastewater treatment: a further step towards full scale implementation

El tratamiento de las aguas residuales es una necesidad actual obligatoria para la proteccion del medio ambiente y reutilizacion de recursos. Las limitaciones de las tecnologias convencionales usadas para tratamiento de aguas residuales tales como los sistemas de fangos activos o procesos anaerobios implican la necesidad de desarrollar nuevas tecnologias. En este contexto, los procesos de interaccion microalgas-bacterias aparecen como una opcion sostenible y respetuosa con el medio ambiente. Estos procesos simbioticos se basan en la oxidacion de la materia organica y del amonio de las aguas residuales por las respectivas bacterias heterotrofas y autotrofas. A su vez, estos productos, junto con el fosforo contenido en las aguas residuales, son asimilados por las microalgas durante la fotosintesis en presencia de luz para producir el oxigeno que sera nuevamente utilizado por las bacterias para la correspondiente oxidacion anteriormente explicada. Durante esta interaccion simbiotica se produce una biomasa algal-bacteriana que puede ser utilizada para produccion de biocombustibles y/o biofertilizantes. Durante el desarrollo de la presente tesis, el objetivo central ha sido determinar las principales desventajas de esta biotecnologia, asi como sus limitaciones y potencial para poder aplicarla a escala industrial. Para ello, en primer lugar se determino como influyen las caracteristicas de las aguas residuales en su biodegrabilidad por esta tecnologia; se han trabajado diferentes tecnicas de cosechado de biomasa algal; tambien se ha comparado el funcionamiento de fotobiorreactores convencionales y emergentes; se ha determinado la evolucion de la poblacion de microalgas y bacterias; se han optimizado los procesos de tratamiento de gases (biogas y gas de combustion) integrados en el tratamiento de agua residual por algas y bacterias; se ha determinado la composicion de la biomasa cosechada y, finalmente, se ha estudiado la integracion de estos sistemas en plantas de aguas residuales convencionales. Los resultados obtenidos muestran como esta biotecnologia es apta para reemplazar el uso de las convencionales, a pesar de que algunas modificaciones7mejoras son aun necesarias.
Layer Based Firewall Application for Detection and Mitigation of Flooding Attack on SDN Network

: Software-Defined Networking (SDN) is an emerging Network technology that can augment the data plane with control plane by using programming technique. However, there are a numbers of security challenges which are required to address to achieve secured communication. Flooding attack is one of the most common threats on the internet for the last decades which is becoming the challenging issues in SDN networks too. To address these issues, we proposed a novel firewall application developed based on the multiple stages of packets filtering technique to provide flooding attack prevention system and layer-based packets detection system. In this research, we are using two main stages to detect the flooding attack and mitigate the flooding packets. The first stage is to identify the attacks and , the second stage is to identify the attacker’s information and act them based on layer-based packet header entity. The system contains two security entities to identify the flooding attacks, one is by measuring the packet size, and the other is by counting the packets flow. We used the details of packets flow to control over the flow and to identify the attacks being occurred or not. Along with, to identify the attacker’s information, we used layers (layer 2 to layer 4) based packet header entities by using multi-table architecture. The proposed solution was tested for different attack scenarios and successfully reduced the flow of volume-based bulk-size flooding attack and infinite packets flooding attack in SDN network.
Task shifting from general practitioners to practice assistants and nurses in primary care: a cross-sectional survey in 34 countries – RETRACTED

Aim: Todescribe variation in task shifting fromgeneral practitioners (GPs) topractice assistants/ nurses in 34 countries, and to explain differences by analysing associationswith characteristics of the GPs, their practices and features of the health care systems. Background: Redistribution of tasks and responsibilities in primary care are driven by changes in demand for care, such as the growingnumberof patientswith chronic conditions, andworkforce developments, including staff shortage. The need to manage an expanding range of services has led to adaptations in the skill mix of primary care teams.However, these developments are hampered by barriers between professional domains, which can be rigid as a result of strict regulation, traditional attitudes and lack of trust.Methods:Datawere collected between 2011 and 2013 through a cross-sectional survey among approximately 7200 GPs in 34 countries. The dependent variable ‘task shifting’ is measured through a composite score of GPs’ self-reported shifting of tasks. Independent variables atGP andpractice level are: innovativeness; part-timeworking; availability of staff; location and population of the practice. Country-level independent variables are: institutional development of primary care; demand for and supply of care; nurse prescribing as an indicator for professional boundaries; professionalisation of practice assistants/nurses (indicated by professional training, professional associations and journals). Multilevel analysis is used to account for the clustering of GPs in countries. Findings: Countries vary in the degree of task shifting by GPs. Regarding GP and practice characteristics, use of electronic health record applications (as an indicator for innovativeness) and age of the GPs are significantly related to task shifting. Thesevariables explainonly little varianceat the level ofGPs.Twocountryvariables arepositively related to task shifting: nurse prescribing and professionalisation of primary care nursing. Professionalisation has the strongest relationship, explaining 21% of the country variation.
Refining the Mechanism of Drug-Influenced Gingival Enlargement and Its Management

Drug-influenced gingival enlargement (DIGE) or overgrowth manifests as abnormal enlargement of the gingiva due to an adverse effect of certain drug reactions in patients treated with anticonvulsants, immunosuppressants, or calcium channel blockers (CCBs). As the gingival enlargement became significant, it may interfere with the normal oral hygiene measures, aesthetics, as well as masticatory functions of the patients. The exact mechanism of how this undesirable condition develops is yet unknown, and complicated, with non-inflammatory and inflammatory pathways involved. This review illuminates these putative pathways of DIGE and highlights various treatment approaches based on existing research and current observations.
Computational Approach for Detection of Diabetes from Ocular Scans

The estimated 30 million children and adults are suffering with diabetes across the world. A person with diabetes can recognize several symptoms, and it can also be tested using retina image as diabetes also affects the human eye. The doctor is usually able to detect retinal changes quickly and can help prevent vision loss. Therefore, regular eye examinations are very important. Diabetes is a chronic disease that affects various parts of the human body including the retina. It can also be considered as major cause for blindness in developed countries. This paper deals with classification of retinal image into diabetes or not with the help of deep learning algorithms and architecture. Hence, deep learning is beneficial for classification of medical images specifically such a complex image of human retina. A large number of image data are considered throughout the project on which classification is performed by using binary classifier. On applying certain deep learning algorithms, model results into the training accuracy of 96.68% and validation accuracy of 66.82%. Diabetic retinopathy can be considered as an effective and efficient method for diabetes detection.
Secondary Teachers’ Preparation, Challenges and Coping Mechanism in the Pre-Implementation of Distance Learning in the New Normal

COVID-19 pandemic has resulted drastic changes in education. Part of it is the shift from face-toface classes to different learning modalities which include distance learning. Since education is believed to continue despite the circumstances, teachers started to prepare for modular and online distance learning. Teaching is possible, but, has challenges as well. Hence, this phenomenological research explored the lived experiences of secondary teachers in the Division of San Pablo City in the pre-implementation of distance learning in the new normal. The participants were selected through purposive sampling and underwent one-on-one actual in-depth interview through video conference. The documented interviews were transcribed and coded. Categories were clustered; then, emerging themes were derived. Results identified three core themes related to preparation such as gathering resources and establishing practices, profiling learners, and capacity building for continuous learning and development; three core themes related to challenges such as complexity of assessment, difficulty in instructional delivery and digital divide; and five core themes related to coping mechanisms which include positive well-being, time management, openness to change, peer mentoring, and collaboration. Findings revealed that as education migrates to a New Normal, teachers make necessary preparations to equip themselves with distance learning. Though they face challenges which may hamper their work, they still manage to cope with the new normal to continue their tasks. The higher offices and school authorities should work with teachers at the preimplementation of distance learning to address their needs in resources and training to effectively facilitate the delivery of quality education for students.
“Listen2dRoom”: Helping visually impaired people navigate indoor environments using an ultrasonic sensor-based orientation aid

People with visual impairments face considerable limitations with their mobility, but still there is little infrastructure in place to help them. In this study, we present a new wearable electronic travel aid (ETA), “Personal Radar”, which assists blind people in navigating in indoor environments using an ultrasonic sensors. After briefly describing our initial system design, we report the improvements from the pilot study. Then, we introduce our experiment in progress. In the experiment, blind folded students and visually impaired people will navigate through a maze and an empty room based on auditory and vibrotactile feedback of the device. This system could serve as an effective research platform for obstacle detection, current location awareness, and direction suggestion for the blind.