Miracle-dz/UniFAR-FTUs huggingface dataset:
Power system security monitoring through classification approach using Multilayer Feed Forward Neural Network

: The power system is a complex network with numerous equipment’s interconnected which are forced to operate under highly stressed conditions closer to their limits. One of the major aspect for the secure operation of the system can be achieved through security assessment, context to which the power system static security assessment is necessary to evaluate the security status under contingency scenario. The conventional method of security assessment involves solving the set of nonlinear load flow equations. But the complexity and computation time makes them infeasible for real time security assessment of large power system networks. This necessitates the need for an efficient approach to assess the security status in short period of time. Thus, it is necessary to design an effective security assessment model. Multi-layer feed forward artificial neural network (MLFFN) is proposed to implement the classification approach for power system static security assessment. The contingency classification, is done based on the composite security index which is capable of accurately differentiating the secure and non-secure cases. For each contingency case as well as for base case condition, the composite security index is computed using the full Newton Raphson load flow analysis. The proposed artificial neural network (ANN) model take features selected using single ranking method and the probable contingencies as the input, assessing the system security by classifying the credible contingencies as secure and insecure.
Machine Learning Techniques for Thyroid Disease Diagnosis - A Review

Background/Objective: Thyroid is an interminable and complex infection happened because of unseemly TSH (Thyroid Simulating Hormone) levels or might be brought on by the issues in thyroid organ itself. The most widely recognized reason for hypothyroidism is hashimoto’s thyroid. It is an auto safe condition where the body makes antibodies that pulverize the thyroid organ. The system behind the flow of the event of the thyroid ailment is still not completely caught on. Methods/ Analysis: The neural network models which describe the aspects related non functionality of thyroid gland, its autoimmune condition and different aspects of thyroid disease have been explored. The consequences related to thyroid disease are growing rapidly and provides new insights into the biological mechanism involved and helps in the management of thyroid disease. Here, the contribution of different neural network modeling in identifying the thyroid dysfunctionality over the past two decades has been discussed. Results: Some parameter estimation methods, execution of the distinctive neural system models have been explored. Additionally, the utilization of the distinctive neural system models for distinguishing the dis functionalities of thyroid disease in the recent decades has been talked about.
Globalization and Entertainment of Urban Families in Ho Chi Minh City

Under the impacts of globalization and the development of science and technology, nowadays, there is an increase in the types of recreation and entertainment in Ho Chi Minh City (HCMC) to meet the growing demand of people with different characteristics in age, gender, income, etc. This paper examines current trends in the entertainment of urban families in HCMC from the anthropological perspective. Participatory observation and in-depth interviews were employed, focusing on families in resettlement apartments to elaborate on the following research questions: How does globalization affect the entertaining habits of the urban families in HCMC? And how do the current trends of entertainment affect the relationships among family members? Within the extent of the study, we were performing the study in terms of the family at apartments for resettled residents in HCMC. We expect that the results of the study play an essential part in elucidating the roles of entertainment in family cohesion as well as forming positive lifestyles of urban residents.
Fractional Order Gradient Descent Algorithm

We present the gradient descent algorithm for unconstrained minimization problems using tools of the fractional calculus, a field of mathematics with applications in widespread areas of science and engineering. At each iteration of the fractional order gradient descent algorithm, the search direction is determined by means of fractional gradient, being a new alternative to solve large scale minimization problems involving one useful class of functions.
A roadmap towards mobile applications with accessibility for visually impaired users: guideline and its evaluation

When applications intend to support accessibility, several aspects of interface design and usability must be reviewed to adapt or extend common functional requirements that are implemented to ensure easy use of applications. However, initiatives to develop guidelines for accessible mobile applications are recent and several approaches present only suggestions rather than a concrete list of requirements. It is becoming increasingly apparent not only the need for social and digital inclusion of people with disabilities but also the urgency to make devices and applications truly accessible to anyone. This work focuses on accessibility requirements for visually impaired users and it is part of a broader effort that involves different types of impairments. Our research method was based on three main steps. First, from an initial set of 1014 scientific and technical articles, 46 were analyzed to identify requirements that are related to visual impairments. Second, we carried out an observation-based analysis to confirm the importance of these requirements, considering a set of accessibility tests with impaired volunteers. Third, the Design Thinking process was used to implement an application prototype, considering the most important requirements that were identified along with the two first steps. This application was submitted to a user-centered evaluation with volunteers, which also supported the evolution of our requirements. We sought to include prior knowledge aligned with all pre-identified requirements, culminating in something that would add to the procedure greater validation. As the main result, this paper presents the complete roadmap of this process, which resulted in a guideline and evaluation method to support the integration of accessibility aspects into mobile applications.
Overexpression of lncRNA H19 leads to reduced proliferation in TSCC cells through miR-675-5p/GPR55

Background Tongue squamous cell carcinoma (TSCC) is a highly malignant tumor and oral disease. We intended to identify the function and mechanism of lncRNA H19 in TSCC. Methods Twenty-two TSCC samples were obtained, and expression levels of lncRNA H19 were measured by quantitative real time PCR (qRT-PCR). After experimentally upregulating expression of lncRNA H19 in TSCC cells, proliferation, invasion and migration were assessed. Further, dual-luciferase reporter gene assays were used to examine the relationship between lncRNA H19 and GPR55. Results LncRNA H19 was expressed at lower levels in TSCC tissues than in normal tissues. When lncRNA H19 was overexpressed, miR-675-5p expression levels were also upregulated, leading to reduced proliferation, invasion and migration of CAL27 and SCC9 cells. Dual-luciferase reporter gene assays revealed that miR-675-5p binds to GPR55, which might promote growth in TSCCs. Conclusions The lncRNA H19/miR-675-5p/GPR55 axis might inhibit cell proliferation, invasion and migration in TSCC.
Prevention of acute exacerbations of chronic obstructive pulmonary disease

Хроническая обструктивная болезнь легких (ХОБЛ) – прогрессирующее заболевание с неполностью об ратимой бронхиальной обструкцией, возникающее под воздействием различных факторов (основным из которых является курение) [1]. ХОБЛ является одной из наиболее актуальных медико социальных проблем, обусловленной не только широкой распро страненностью заболевания, но и высоким риском серьезных осложнений, которые приводят к инва лидизации и смерти, в т. ч. трудоспособного населе ния [1–3]. Развитие обострений является характер ной чертой течения ХОБЛ [4–5].
Reducing Extrinsic Burdens on Players of Digital Games: An Integrated Framework

Increasingly complex gameplay and gameworlds are placing greater demands on players, while grander approaches to help them cope, such as heads-up displays (HUDs), maps, notifications, and real-time statistics, may often create even more layers of complexity, and thus burdens, further detaching players from core gameplay. In this article, we distinguish between ‘intrinsic’ (fundamental to gameplay) and ‘extrinsic’ (peripheral or extraneous to gameplay) game elements, where the latter may be seen to increase burdens on players unnecessarily, subsequently affecting engagement. We propose a framework, comprising core, interaction, and interface layers, that reveals how extrinsicality may be minimised to better facilitate intrinsic gameplay and engagement.
“Statistics” is not a Sausage Machine: A Statistician's Viewpoint and Some Comments on Experimental Design

Any experiment involving the use of animals which is not well-planned, meticulously carried out, and scrupulously analysed, is unethical. Planning, or good experimental design, followed by analysis appropriate for the design, will help to ensure the optimal use of animals. Thus, collaboration between biologist and statistician, especially at the planning and analysis stages, is one of the best ways of achieving an ethical and successful experiment. However, genuine communication is necessary for any collaboration, and this requires time and patience, on the part of both biologist and statistician. Although the three fundamental principles of experimental design, replication, randomisation and local control, are straightforward in theory, there is substantial scope for misunderstanding and misinterpretation in practice. Each experiment presents unique and interacting biological and statistical problems, and both the right design and the correct analysis should be decided on a case-by-case basis.
Proportion of atmospheric methane to carbon dioxide observed by GOSAT over biomass burning regions in Africa

Multi-species satellite measurements in important biomass burning regions are expected for better understanding the partitioning of reduced gas production (van der Werf, 2010). In this study, we utilized the data of atmospheric concentration of carbon dioxide (CO2) and methane (CH4) observed by Thermal And Near-infrared Sensor for carbon Observation (TANSO)-FTS onboard Greenhouse Gases Observing Satellite (GOSAT) to derive the ratios of the two species over the active biomass burning regions in Africa. Contribution of fire emission from Africa to the global carbon fire emissions is estimated as 52% by van der Werf (2010). It is well recognized that in Northern Hemisphere Africa (NHA), fires occur primarily in the Sahel between November and February. On the other hand, in Southern Hemisphere Africa (SHA), fires are prominent primarily between June and October (e.g., Roberts, et al. 2009). We investigated the proportions of CH4 to CO2 focusing on regions and seasonality and found the proportion of CH4 to CO2 during the burning season over NHA is higher than that in SHA. In addition to CH4 and CO2, we are going to show the results of combined analysis with carbon monoxide (CO) observed by Measurements Of Pollution In The Troposphere (MOPITT), and discuss potential of satellite sensors to characterize biomass burning. References Roberts et al. (2009): Biogeosciences, 6, 849-866. van der Werf et al. (2010): ACP, 10, 11707-11735.
Low Dose of Intracoronary Tenecteplase in High Thrombus Burden in Primary Percutaneous Coronary Intervention – A Case report

Primary percutaneous coronary intervention (PPCI) has emerged as the current standard of care for ST elevation myocardial infarction (STEMI) in achieving reperfusion of injured artery. Most of the STEMI can achieve reperfusion by using stenting, however, condition may not be the same when there is presence of massive intracoronary thrombus in PPCI. It remains challenging and is a strong predictor of adverse outcome. Thus, there is a need for further appropriate strategy to ensure coronary reperfusion in order to reduce morbidity and mortality. We hereby report a case with high thrombus burden in PPCI, after failed manual aspiration thrombectomy, which is successfully treated with low dose of intracoronary thrombolysis. Re-look angiogram showed complete resolution of thrombus in dominant right coronary artery (RCA) compared to previous angiogram.
Tezacaftor – Ivacaftor in Patients with Cystic Fibrosis and One or Two Phe 508 del Alleles

Original citation Davies, J. C. , Moskowitz, S. M. , Brown, C. , Horsley, A. , Mall, M. A. , McKone, E. F. , Plant, B. J., Prais, D. , Ramsey, B. W. , Taylor-Cousar, J. L. , Tullis, E. , Uluer, A. , McKee, C. M. , Robertson, S. , Shilling, R. A. , Simard, C. , Van Goor, F. , Waltz, D. , Xuan, F. , Young, T. and Rowe, S. M. (2018) 'VX-659–Tezacaftor–Ivacaftor in Patients with Cystic Fibrosis and One or Two Phe508del Alleles', New England Journal of Medicine, 379(17), pp. 1599-1611. doi: 10.1056/NEJMoa1807119
Restriction effect on Eating Intake of Pre-Menopausal Obese Women against Triglyceride Levels dan

This study aims to determine the influence of food restriction on triglyceride levels and insulin resistance status in pre-menopause obese women by describing the characteristics of respondents based on age and physical activity. Pre-post randomized control group design was used as experimental study using 20 pre-menopause obese women. The participants received the restriction of their intake as 30 kcal/kgW/day. The Body Mass Index or BMI, food intake, triglyceride levels and insulin resistance were tested before dan after the treatment using test paired samples test. The results showed that there was significant differences on BMI; energy intake; protein intake; fat intake; triglyceride levels, dan insulin-resistance status but there was no significant difference on carbohydrate intake at before and after treatment. The study concluded that intake restriction resulted in the decrement of triglyceride levels and insulin resistance status.
Obsessive-compulsive disorder in children and adolescents: epidemiology, diagnosis and management

Obsessive-compulsive disorder (OCD) can be found in about 4% of the general population and is characterized by various compulsions and obsessions that interfere with the person’s quality of life from a mild to severe degree. The following discussion reflects on current concepts in this condition, including its epidemiology and etiologic underpinnings (behavioral, neurological, immunological, gastroenterological, as well as genetic). The interplay of PANS and PANDAS are included in this review. In addition, the core concepts of OCD diagnosis, differential diagnosis, and co-morbidities are considered. It is stressed that the quality of life for persons with pediatric OCD as well as for family members can be quite limited and challenged. Thus, principles of management are presented as a guide to improve the quality of life for these persons as much as possible.
A Survey on Outlier Detection in a Sparse Coding Framework

— Outlier detection is a significant problem that has been researched within various research areas and application domains. Many outlier detection methods have been particularly examined for certain application domains, as others are more standard. In this survey paper describes an outlier detection technique for high dimensional data sets accurately reduce the data from a root mapping at batch re-computation. For each outlier behavior activities is to identify the key factors, which are used by the methods to differentiate between normal and abnormal actions. This survey paper provides a best and brief understanding of the techniques belonging to each anomaly and sparse coding framework category. Further, for each clustering, to identify the improvements and drawbacks of the techniques in that category. It also provides a discussion on the computational complexity of the techniques since it is an important issue in real application domains hope that this survey will provide a good understanding of the many directions in which research has been done on this topic.
Title: Near surface seismic signal response due to active fluid infiltration in partially saturated soil: Laboratory analysis of observational phenomenon

(U) [UNCLASSIFIED] Military persistent monitoring seismic arrays are designed to process surface and subsurface waves for source classification, location, and identification of specific targets of interest. The placement of these sensors is typically governed by geography and operational constraints, thus are typically installed within the upper meter of the subsurface wherein signal propagation and attenuation are significantly affected by meteorological variability. During rain events the observed seismic waveforms are significantly altered generating false positive classifications and decreased system accuracies. Though the inter-particle stresses in the top meter of the earth can have a significant effect on the shear modulus of the soil, and therefore, the shear wave velocity, the large variability in the preand post-rain waves is not explained by simply accounting for microscopic inter-particle stresses at variable saturations, nor is it explained by accounting for seepage forces in Biot’s equations. Moreover, there are no laboratory or in-situ experiments which explicitly investigate the effect of active inundation on seismic wave properties in the near surface or recreate the observed phenomena in a controlled environment. Presented herein is a State-ofArt flow chamber designed specifically for near surface seismic wave/fluid flow interaction phenomenology research, the Ultrasonic Near-surface Inundation Testing device (UNIT). The purpose of this paper is to show that our testing protocols are appropriate for the problem, and the data adequately replicates field observations and to identify important wave behavioral characteristics for future flow experimentation, sensor processing and system performance.
The Dialectic of Change

It would appear that the dialectic between opposites is a universal law of nature. Heraclitus spoke of it metaphorically as “war, the father of all things”, and combined with his phrase that “all things flow or change” suggests that the dialectic is a continuously evolving process in nature. The Chinese express it with the Yin and Yang symbol, each side incorporating the other. Toynbee spoke of it as “challenge and response”, the tendency for societies to change in response to challenges from their environment. Hegel believed it to be the essence of society as a never-ending process of thesis-antithesis-synthesis, where the conflict between two opposites is dissolved in a new reality. For him the social dialectic was an interchange between the ideal and the real or practical. In his dialectic the ideal provided the challenge, whereas for Marx it was the practical or material reality that stimulated the changes in the ideas governing any given period in history. In cybernetics it can be seen in the feedback process, which corrects or balances the workings of any given mechanism, whereas for Aristotle it was the never ending search for the “golden mean” in a process that required first experiencing or at least knowing the extremes, before the mean could be realized. In relation to our current crisis, it can be seen in part as the general biological and/or social dialect between aggression and cooperation. After several hundred years of experiencing the aggression side, not only practically and theoretically, but also philosophically, we may now need, and hopefully are looking to see if we can find the other side of this particular dialectic.
Survival and Years of Good Life in Finland in the very long run

In this paper we apply the recently developed wellbeing indicator ‘Years of Good Life’ (YoGL) to Finland, which has the world’s longest annual demographic time series starting in 1722. We combine this with scenarios up to 2100 as developed under the SSP (Shared Socioeconomic Pathways) framework. YoGL is based primarily on the trend in life expectancy but it also considers age-specific proportions of persons above critical levels of quality of life indicators (using the Sullivan method). Since estimating these indicators for historical populations is a major challenge, the paper uses a wide array of sources to come up with a first crude estimation of how quality of life has changed in Finland over the centuries.
Multiple Parenting Relationships in Image Phylogeny: Tracking Down Forgeries and Their Creators Online*

Due to the large amount of images shared on the web, tracking the spread and evolution of their content have become an increasingly important problem. As an image might be a composition created through the combination of the semantic information existent in two or more source images, establishing a relationship between the sources and the composite is an ever-growing problem of interest. We name as Multiple Parenting Phylogeny the problem of identifying such relationships in a set containing near-duplicate subsets of source and composition images. To tackle this problem, this work presents a three-step solution: (1) separation of near-duplicate groups; (2) classiﬁcation of the relations between the groups; and (3) identiﬁcation of the images used to create the original composition. Furthermore, we extend upon this framework by introducing key improvements, such as better identiﬁcation of when two images share content, and improved ways to compare this content. Evaluation of the proposed method is performed by means of quantitative metrics established for evaluating the accuracy in reconstructing phylogenies and ﬁnding multiple parenting relationships in the different datasets. Finally, we also analyze the results qualitatively, with images obtained from the web
Emotions in Citizens’ Comments on the Internet as Predictors of Election Success

Citizens express attitudes toward politicians and policies as special kinds of judgments colored by emotions and we call them sentiments. In this way, they participate in the process of creating public opinion, which can be manifested in different ways. Nowadays, it could be expressed through citizen comments on Websites, such as news portals, blogs and forums. Sentiment analysis of comments can give us an insight into the fundamental beliefs of citizens and their political profi les, which is very important for politicians when they want to explore public opinion, especially at the time of elections. This method is based on the extraction of sentiments expressed by words and terms in citizen comments on the Web. This paper presents the results of automated or manual sentiment analysis of citizens’ comments about politics on news websites in different countries. It shows that citizens generally have a dominantly negative public opinion on politicians and politics and that different news websites gather specifi c political profi les of citizens. The comparison between the characteristics of public opinion and election results suggests that the results of sentiment analysis can serve as predictors of election success.