Miracle-dz/UniFAR-FTUs huggingface dataset:
Stereotactic management of arrhythmia – radiosurgery in treatment of ventricular tachycardia (SMART-VT) – clinical trial protocol and study rationale

Patients with ventricular tachycardia are usually treated with antiarrhythmic drugs and ablation if the arrhythmia substrate is available for invasive treatment. Despite high efficiency of this treatment there is a significant group of patients who do not benefit from available treatment methods, either because they cannot be applied or do not allow for durable control of the disease. For that reason a novel treatment method, STereotactic Arrhythmia Radioablation (STAR) has been proposed and its safety and efficiency is extensively studied throughout the world. The method is based on irradiation of the arrhythmia substrate identified with electrophysiological examination with high-precision image-guided radiosurgical methods usually used for ablation of malignant tumors. Here we present the protocol of the first Polish study on STAR in patients with intractable ventricular tachycardia (STARVT, NCT04642963), designed to test the safety of the method. Secondary endpoints include measures of the treatment efficiency.
Prevalence of depression, anxiety and stress symptoms and their association with quality of sleep and loneliness in the general population during the COVID-19 pandemic in India

The impact of mental health due to coronavirus infection caused by SARS -2 COVID -19 is severe. The spread of the virus has been reported not only in India but also in many countries worldwide. The lockdown amid the recent COVID-19 widespread has brought about a change in the way of life in most people. The self-isolation and social distancing measures may result in individuals becoming more anxious, angry, stressed, disturbed and depressed. The aim of our study is to assess the prevalence of depression, anxiety and stress and their association with quality of sleep and loneliness in the general population during the Covid 19 pandemic. The study design was a cross-sectional study, and information and data were collected through an online questionnaire using Google forms. A total of 726 participants had completed the online questionnaire from which socio-demographic details, Depression, Anxiety & Stress (DASS 21), Insomnia (ISI) and Loneliness (UCLA) were assessed. The overall prevalence rate of depression, anxiety, stress, insomnia and loneliness was 27%, 24.9%, 12.1, 16.9% and 8.8%, respectively. Age, education, occupation and living status had a strong association with depression. Concerning anxiety, age, marital status, living status and past history of medical illness were positively correlated. Stress had a strong association with education. Insomnia was significantly associated with depression, anxiety, stress and loneliness. Anxiety, stress and insomnia had a strong association with loneliness. This study shows that the psychological impact of the COVID-19 pandemic in the general population is very high. Since loneliness and insomnia have been shown to be associated with psychological symptoms, screening for and addressing them can help in reducing the psychological impact of COVID-19.
Chemical composition and pellet quality of Azolla pinnata grown in semi-arid zone of India

Present experiment was undertaken to explore the nutritive potential of Azolla pinnata as an animal feed. For this Azolla was cultivated on high-density polyethylene (HDPE) Azolla bed and grounded pits and harvested, dried and incorporated in the pelleted complete feed. Sundried Azolla sample was analyzed for proximate principles. The dry matter content of Azolla was 4.7 percent. Analysis of dry matter revealed the presence of total 82.66 percent organic matter. Among these includes 21.67 percent crude protein, 3.27 percent ether extract, 12.38 percent crude fiber, and 43.35 percent nitrogen free extract. The total Ash and acid insoluble ash content were found 19.33 and 3.64 percent, respectively. NDF, ADF and hemicellulose in Azolla (Azolla pinnata) were found to be 41.84%, 28.56% and 13.28%, respectively. The chemical analysis proves that Azolla is a rich source of crude protein, trace minerals and vitamins. The mineral profile of Azolla indicates 1.64% Calcium and 0.34% Phosphorus and other minerals in trace levels. Thus Azolla can be considered as potential unconventional feed for livestock.
TRANSESTERIFICATION OF PALM OIL USING THE TiO2/nano-MONMORILLORITE (nano-MMT) COMPOSITE CATALYST FROM ACEH TAMIANG BENTONITE IN THE PRODUCTION OF BIODIESEL

Transesterification of palm oil using a TiO 2 /nano-Monmorillorite (nano-MMT) composite catalyst from Aceh Tamiang bentonite in Biodiesel production has been carried out. Biodiesel is bioenergy obtained from vegetable oils, animal fats, microorganisms, and plants. This is alternative energy to replace fossil fuels, especially diesel oil. Biodiesel is proven to be more environmentally friendly in reducing hydrocarbon and sulfur emissions. In this study, TiO 2 will be composited with nano-MMT using the solid-state method and analyzed using XRD. Both of these materials are used as catalysts for biodiesel production. The transesterification process will be used in the production of biodiesel, where the molar ratio of palm oil to methanol is 1:12. TiO 2 /nano-MMT composite catalyst will be varied (2 and 4 grams). Biodiesel samples will be analyzed using GC-MS. The results obtained show that the TiO 2 /nano-MMT composite catalyst from Aceh Tamiang bentonite can convert Fatty Acid Methyl Ester (FAME) from palm oil. The 2 grams of the composite catalyst produced biodiesel of 89.38% and 4 grams of 64.88%.
Biosynthesis of metal nanoparticles using microorganisms and its medicinal applications

Nanotechnology is one of the most important technologies that enter into multiple fields, as it depends on the synthesis of particles with nano scale called nanoparticles (NPs). Biosynthesis of nanoparticles can be done using plants or microorganisms; however, synthesis of NPs using microorganisms is economical and an ecofriendly method. This review article provides highlights on the latest studies on using diverse microorganisms such as; bacteria, actinobacteria, fungi and algae for the biosynthesis of some metal nanoparticles including; silver, gold, palladium, selenium, magnesium, titanium dioxide, zinc oxide. etc, under simple manufacturing conditions and within a short period that ranges from a few minutes to several days. The resulting NPs mostly show anti-fungal potential towards several fungal species that cause important human diseases mainly; Candida albicans and Aspergillus niger. Moreover, NPs has antibacterial efficacy against Staphylococcus aureus and Pseudomonas aeruginosa, which recently become less affected by several antibiotics like penicillin and methicillin. This review will help the researchers who work in biosynthesis of NPs and in the nano-medical application fields.
Filial piety expectations and loneliness among older people in Kuantan, Pahang

Background: Filial piety plays a vital role in combating loneliness among older people. Older adults have a high tendency to feel lonely when affection toward and from their children decreases. This study aimed to determine the association between filial piety expectations and loneliness among older people in Kuantan, Pahang. Methods: A cross-sectional study was conducted on 198 older people in Kuantan, Pahang. Filial piety expectation and loneliness were measured by the Filial Piety Expectation Scale and UCLA (University of California, Los Angeles) Loneliness Scale questionnaire. The data were analyzed by using SPSS version 22.0. Results: The results of this study indicate that the majority of respondents believe that adult children should care for their parents. A high level of filial piety expectations was associated with a low level of loneliness. Age and race were significantly associated with filial piety expectations among older people in Kuantan. Conclusion: The study showed an association between filial piety expectations and loneliness among older people. Thus, the influence of filial piety expectations on the level of loneliness among older people must be acknowledged to ensure the improvement of the health and well-being of older people.
Tissue-Specific Transcription of the Mouse oL-Fetoprotein Gene Promoter

assays indicated that the region between -130 and -100 was recognized by two factors, one of which was highly sequence specific and found only in hepatoma cells. Competition assays suggested that the liver-specific binding activity was HNF-1, previously identified by its binding to other liver-specific promoters. Mutation of the HNF-1 recognition site at -120 resulted in a significant reduction in transcription in transfection assays, suggesting a biological role for HNF-1 in the regulation of AFP expression.
An application of the EM algorithm to archaeological data analysis

The association between archaeology and statistics has a very long history. Simple descriptive statistics are found in the earliest excavation reports and collaboration between archaeologists and statisticians has taken place for almost as long. It seems strange therefore that despite such an auspicious start, only comparatively recently has there been any major use of statistics by archaeologists. Only in the early 1970's did the use of statistics really take off and even today use of the more powerful multivariate techniques is both relatively infrequent and tends to be confined to specific areas of
Security Analysis of the MLS Key Distribution

—Cryptographic communication protocols provide conﬁdentiality, integrity and authentication properties for end-to-end communication under strong corruption attacks, including, notably, post-compromise security (PCS). Most protocols are designed for one-to-one communication. Protocols for group communication are less common, less efﬁcient, and tend to provide weaker security guarantees. This is because group communication poses unique challenges, such as coordinated key updates, changes to group membership and complex post-compromise recovery procedures. We need to tackle this complex challenge as a community. Thus, the Internet Engineering Task Force (IETF) has created a working group with the goal of developing a sound standard for a continuous asynchronous key-exchange protocol for dynamic groups that is secure and remains efﬁcient for large group sizes. The current version of the Messaging Layer Security ( MLS ) security protocol is in a feature freeze, i.e., no changes are made in order to provide a stable basis for cryptographic analysis. The key schedule and TreeKEM design are of particular concern since they are crucial to distribute and combine several keys to achieve PCS. In this work, we study the MLS continuous group key distribution (CGKD) which comprises the MLS key schedule, TreeKEM and their composition, as speciﬁed in Draft 11 of the MLS RFC, while abstracting away signatures, message ﬂow and authentication guarantees. We establish the uniqueness and key indistinguishability properties of the MLS CGKD as computational security properties.
High temperature erosion observations, considerations and overview in PS YSZ TBC for power gas turbine technical inspection

Erosion is considered the second cause of failure in power gas turbine operation and it is a factor that limits the lifetime of turbine components. In corrective and preventive maintenance of these devices there are some classical techniques in order to determine failure in situ like Boroscopic inspection, Eddy Current testing and Radiography; however the challenge consists in correlating the erosion microstructure of Thermal Barrier coatings (TBC) with the failure modes in first stage turbine blades and combustion liners. This work tries to approach scientific studies on erosion to evaluation criteria in technical inspection and lifetime prediction of gas turbine components. The first part consists in the characterization of the liner and first stage turbine blades eroded-surfaces obtained from a Gas turbine GE7FA used by EPM for power generation. The last part states the relationship between characterization of the erosion and the literature and technical reports. KEywORDS: TBC, Erosion, Turbine blade, turbine inspection, TGO, Delamination, TMF, CTE.
Monolayer and bilayer graphene field effect transistor using Verilog-A

Monolayer and bilayer graphene field effect transistor modeling is presented in this paper. The transport model incorporated, works well for both drift diffusive and ballistic conditions. The validity of the model was checked for various device dimensions and bias voltages. Performance parameters affecting operation of graphene field effect transistor in various region of operation are optimized. Model was developed to verify transfer characteristics for monolayer and bilayer graphene field effect transistor. Results obtained prove the ambipolar property in Graphene. MATLAB is used for numerical modeling for systematic performance evaluation of parameters in graphene. The tool used to simulate the characteristics is cadence Verilog-A which describe analog component structure.
Competitiveness and Determinants of Coffee Export in Ethiopia: An Analysis of Revealed Comparative Advantage and Autoregressive Distributed Lag Model

As an export commodity coffee industry contributes to the economies of both exporting and importing countries. The aim of study involves competitiveness and determinant of coffee export in Ethiopia through the period of 1990–2018 observations. To explain level of comparative advantage and competitiveness respectively Revealed Comparative Advantage and Syematric Revealed Comparative Advantage were employed. To capture determinans of coffee ARDL model with bound testing to co-integration approach was employed to investigate the long run association between Ethiopian total coffee export in bags (60kg each) with domestic coffee production,world coffe price,real exchange rate,FDI,world coffee production and price ratio. Eventhough Ethiopia has comparative advantage in export of coffee however, the share it in international market low in amount and not in lined with RCA. Bound testing to co-integration approach result confirmed the existence of a long-run relationship between total coffee exports of Ethiopian with its independent variables. The analysis pointed out that in the long run the extent of domestic coffee production, world price and real exchange rate positively and significantly affects total coffee export. However, FDI, price ration, world production of coffee have negative & significant effect. In short run Ethiopian total coffee export defined as positive significant function of domestic coffee production and real exchange rate positive but insignificant effect with Level of RCA and world price as well as negative function of FDI, price ration and world production of coffee. Evidence from Granger causality test confirms that unidirectional,bidirectional and independent Granger causality were observed. Coefﬁcient Error Correction Model (ECM (-1)) was negative and signiﬁcant with value 134.4 % of the adjustment would made each year and returned to its long-run equilibrium after 1.3 years. The policy implication calls for addressing issues of combined effect of the policy setting, institutions and market failures to avoid evil effect of the sector. Keywords: ARDL Coffee Competitiveness Determinant RCA DOI: 10.7176/JESD/12-5-05 Publication date: March 31 st 2021
Multidexterity—A New Metaphor for Open Innovation

Open innovation will have an important role to play in recovering from the aftermath of the coronavirus and it has already made a crucial contribution. The prism of COVID-19 (“COVID” hereafter) has made more vivid both the complexity and unpredictability of managing innovation. This article considers why today’s open, intrinsically unpredictable business environments require updated theories for managing innovation. Concept formation lies at the heart of all social science progress and in this paper, we propose a new concept to accurately reflect the turbulence and complexity of managing open innovation in a post-COVID world. We argue that the innovator’s dilemma—a still influential argument that suggests exploiting current resources necessarily reduces the likelihood of successful exploration for new resources—is an increasingly problematic theoretic anchor. Furthermore, the prescription based on this line of thinking that organizational leaders should foster ambidextrous capabilities is increasingly suspect as leadership is more broadly shared and organizational processes become less easily dichotomized and controllable. We argue that the operating context for organizations is now so complex and ambiguous that it is time to revisit and revise the widely accepted concept of “ambidexterity” and we describe the updated and expanded construct as Multidexterity. “Multidexterity” is the organizational ability to simultaneously carry out multiple search and selection activities based on diverse strategic logics and levels of knowledge to generate a portfolio of innovative outcomes. We describe a number of case studies of extreme and unique collaboration to underpin our revised concept. Our paper reveals the advantages of the updated view, outlining the fresh insights it can generate. We conclude by setting out an agenda for future research and suggesting that joint empirical research by academics and practitioners is needed to further develop this approach to innovation.
Solution Tool to Predict Filter Cake Formation for Acid Mine Drainage (AMD) Slurries

Solution Tool to Predict Filter Cake Formation for Acid Mine Drainage (AMD) Slurries Roberto Martinez Ochoa Acid Mine Drainage (AMD), also known as alkaline mine drainage resulted from abandoned and active coal mining areas has been a major water pollutant in the mid-Atlantic region of the United States affecting aquatic life, recreational areas, tourism, etc. AMD results from during and post mining activities all around the US and the world containing high levels of acidic materials such as sulfate and other heavy metals. The United States Environmental Protecting Agency (EPA) has recommended the use of different mechanisms for mitigation purposes due to considerable existing and potential damage generated by AMD. This report focuses on the usage of geotextile bags/tubes as a filtration tool in order to retain as much solids from an AMD sample while maximizing its dewatering capacity following methods and assumptions developed by (Weggel and Ward, 2011). The purpose of this study is to develop a solution tool to predict filter cake formation, and to perform extensive filtration testing of AMD slurries, identifying of a competent geotextile material for filtration purposes for the proposed AMD slurries, and identifying supplemental behavioral data in order to maximize filtration performance The solution tool is only successful in predicting filter cake thickness comprising materials with high amounts of coarse particles. On the other hand, for materials with high amounts of fines such as the AMD sludges being dewatered in this report, the solution tool is not capable of predicting an accurate filter cake thickness. Optimum results regarding filtration efficiency (retained solids/total solids) by using a non-woven geotextile material produced by Tencate referred to as Mirafi 1100N. Filtration efficiencies ranged between 92% and 100%.
UNIVERSIDAD SAN FRANCISCO DE QUITO USFQ

Culicoides biting midges are known for being transmission vectors of various diseases caused by arboviruses affecting humans and animals around the world. An optimal and fast classification method for these and other species has been a challenge and a necessity, especially in areas with limited resources and public health problems. In this work, we developed a mobile application called MosCla to classify two Culicoides species using the morphological pattern analysis of their wings. The app implemented an automatic classification method based on the calculation of seven morphological features extracted from the wing image and a support vector machine classifier to produce the final classification of Pusillus or Obsoletus class. The proposed app was validated using an experimental dataset of 87 wing images with the 10-fold cross-validation method, and the classification performance in terms of the mean of the AUC metric obtained an outstanding score of 0.98. The app feasibility was assessed using the mean of time and battery consumption metrics on a phone Pixel 2 and tablet Pixel C mobile emulators. The obtained results were 12 and 7 seconds and 0.11 and 0.03 mAh for the phone and tablet emulators, respectively. These results are considered very good when developing mobile applications. Reducing the feature space from seven to three features using an external wrapper method provided us a considerable improvement in terms of the AUC based classification performance from 0.95 to 0.98 and decreasing the volume of information for the classifier training. Thus, these results enable the proposed app as an excellent approximation for those specialists that need a practical tool to classify Culicoides species like Pussillus or Obsoletus in the wildlife environment.
Psychotic Motivation for Improving Student Performance Based On Pattern Learner Features Using Deep Neural Classifier for Bipolar Disorder Students

: Bipolar disorder is a depressive fact that makes manic illness pressures in young ages due to the non-intensive nature of brain functions, energy levels, mood-outs, and health disorders. These abnormalities may affect student performance under the learning strategies of students. Improvement of bipolar disorder affected student performance needs more data analysis forums that lead to high dimensional nature of features. The problem is that non-relation feature analysis depends on the nature of student fitness that creates low prediction during classifications for students' motivation. To resolve this problem, a Psychotic motivation is proposed for improving student performance based on Pattern Learner Features (PLF) using Intra Segment Recurrent Deep Neural Network (ISRDNN) for bipolar disorder students. The proposed system makes student academic data's with physical fitness data collection progressive approach to predict important features to classify the result. Bipolar Disorder Influence Rate (BDIR) is usedto spill the progressive student defectives and the learning capabilities for classification result. With Intra Segment Activation Function (ISAF), the recurrent neural network is optimized to classify the result. This classifier improved the student's academic performance based on psychological motivation recommendations. Results prove that the accuracy of the proposed system produces high results compared to the previous system.