Miracle-dz/UniFAR-FTUs huggingface dataset:
ON WINGS WITH NON-ELLIPTIC LIFT DISTRIBUTIONS

Non-elliptic lift distributions were originally conceived by Prandtl as a solution for wings having optimal aerodynamic and structural efﬁciency. Since 1933, many researchers have expanded on this theory to conﬁrm that it explicitly facilitates the trade-off between induced drag and weight, and have unveiled other potential beneﬁts such as proverse yaw. This theory is seen as a promising alternative to redeﬁne the underlying principles of conceptual wing design in the search for a step increase in efﬁciency. Given the recent revival of this approach, in this paper the authors present a concise review of its theoretical basis, the developments carried out in this area and their relevance to the future of aviation.
C ENTRE FOR A PPLIED M ACROECONOMIC A NALYSIS The University T HE C ONTRIBUTION OF D OMESTIC , R EGIONAL AND I NTERNATIONAL F ACTORS TO L ATIN A MERICA ’ S B USINESS C YCLE

This paper quanti ﬁ es the relative contribution of domestic, regional and international factors to the ﬂ uctuation of domestic output in six key Latin American (LA) countries: Argentina, Bolivia, Brazil, Chile, Mexico and Peru. Using quarterly data over the period 1980:1-2003:4, a multi-variate, multi-country time series model was estimated to study the economic interdependence among LA countries and, in addition, between each of them and the three world largest industrial economies: the US, the Euro Area and Japan. Falsifying a common suspicion, it is shown that the proportion of LA countries’ domestic output variability explained by industrial countries’ factors is modest. By contrast, domestic and regional factors account for the main share of output variability at all simulation horizons. The implications for the choice of the exchange rate regime are also discussed.
Flexural and Flexural Toughness of Fiber Reinforced Concrete- American Standard Specifications Review

Fibers used to enhance the brittleness property of steel reinforced concrete and plain concrete, and modify the tensile strength by increasing work of fracture. Thus, the toughness measurements are valuable for assessing the post crack performance of fiber reinforced concrete (FRC). There are many international standard around the world, but this paper are focuses on review the American standard specifications via exclusive ASTM. The review involve the flexural strength testing methods and toughness testing methods for FRC. For flexural strength test, the ASTM C 78 and ASTM C 293 reviewed and compared between both, while for toughness the ASTM C 1018, ASTM C 1609, ASTM C 1399 and ASTM C 1550 reviewed. This paper also describes concisely the method for each testing and considerable advantages of these methods. Beside, abridged some limitation of these methods. All figures have been redrawn with inserted more details to be most obvious and more rich.
Case Report A Rare Case of Orthostasis, Dizziness, and Non-O1, Non-O139 Vibrio cholerae Infection in a Lung Transplant Recipient

Non-O1, non-O139 Vibrio cholerae are rare strains that are generally nonpathogenic in immunocompetent hosts. However, this pathogen has been shown to cause gastroenteritis, wound infections, or bacteremia in immunocompromised patients and is associated with signi ﬁ cant mortality in these hosts. Herein, we describe a case of hemorrhagic enterocolitis in a lung transplant recipient with an atypical presentation of non-O1, non-O139 V. cholerae and ongoing orthostasis. The patient reported recent seafood consumption and was managed appropriately with antibiotic therapy before necessitating esophagogastroduodenoscopy (EGD) for further objective testing.
Air Quality Monitoring in the Southeast Community in the City of Newport News, VA

Purpose: The objective of this study was to assess air quality in the Southeast Community of Newport News, VA by monitoring air pollutants, including PM 2.5 , PM 10 , VOCs, NO 2, and SO 2 . Currently, there is a lack of community specified air quality data in Newport News despite observed environmental degradation and public health problems. Methods: Three air sampling sites were located within residential areas of the Southeast Community, while four industrial air sampling sites were chosen based on proximity to potential pollution sources, including traffic emissions, the coal pier, and industrial activities. All of the industrial sites were located on the boundaries of the community. Each site was continuously monitored for eight hours per day and was sampled at least twice for data accuracy. A GRIMM PM monitor was used to measure PM 2.5 and PM 10 and a MultiRae PRO (model PGM-6248) was used to continuously quantify VOCs, NO 2 , and SO 2 . Results: While average PM 2.5 and PM 10 from all sample sites were within the acceptable range of EPA air quality criteria, averaged VOCs in the industrial and highway areas were higher than those in the community. Conclusion: The findings of this research suggest a need for long-term monitoring air quality with a series of air pollutants in the community.
Healthcare Proctoring System Using Chatbot Based on Machine Learning

This presentation describes the implementation of a healthcare portal which will include features like interoperability, symptom-based disease prediction with the help of a chatbot and remote patient health proctoring services. [1] As it is common knowledge, health and medicine are gaining a lot of significance in today’s advancing world, where evolving technology is being used to combat almost all the known diseases. [2] Technology is constantly developing everywhere forevery new ailment that us humans come across. We have new counter-measures ready for these diseases. [3]However, according to reports, more than 200 thousand people in China, 100 thousand in the USA,and nearly 70 thousand people in India die each yeardue to medication errors. Technologies such as data mining and other recommended technologies provide possibilities to explore potential knowledge from diagnosis history records and help doctors to diagnose the disease and prescribe medicines correctly to decrease medication error effectively. [4] This project proposes a system which will aim to negate any miscommunication between the medical professional and patient by acting as a medium whichwill be accessible by both entities with every record of the patient available for the professionals. [5] This system consists of a database system module, data preparation module, disease prediction module,medicine recommendation module, model evaluation and API which will be used for a centralized database for the patient’s data. [6] A decisiontree map and random forest algorithm are used to achieve the objective. This paper also mentions the additional features of the proposed system like the dual function of prediction of diseases and the recommendation of medicines, which adds to the capabilities of the existing systems, and has a portal through which a patient can have appointments, get reports for every medical check-up which will be virtually available. The patient’s data will be globally available for both medical professionals as well as the patient to see. [7] The proposed system will be designed in such a waythat every user’s data will be regularly updated in case it is being monitored by other attending medicalprofessionals. [8] Keywords healthcare portal, recommendation
On Security of TrCBC

TrCBC is a variant of CBC-MAC which appeared in Information Processing Let-ters , 112(7):302-307, 2012. The authors claimed TrCBC to be a secure message authentication code (MAC) with some interesting properties. If TrCBC is instantiated with a block cipher with block length n , then it requires ⌈ λ/n ⌉ block cipher calls for authenticating a λ -bit message and requires a single key, which is the block cipher key. The authors state that TrCBC can have tag lengths of size less than n/ 2. We show that with high probability, an adversary can forge TrCBC with tag length n/ 2 − 1 with just three queries. The attack that we show can be applied to forge a large class of messages. The authors proved TrCBC to be a pseudorandom function (PRF). A scrutiny of the claimed PRF bound shows that for some recommended values of tag lengths, the bound turns out to be quite large. Thus, the security theorem does not imply security of TrCBC for all recommended tag lengths.
Deep Learning Based Cancer Survival Analysis Algorithm

Histopathological image examination is the gold-standard tool of cancer diagnosis. However, it is subjective to only rely on doctor qualitative analysis of pathological image. What’s more, it is easy to miss pathological information. The texture of pathological images is complex and highly heterogeneous, so it is difficult to extract the deep features of histopathological images. In this paper, a deep learning-based cancer survival analysis algorithm is proposed to process the histopathological image data, which can effectively extract the histopathological image features and improve the accuracy of the model. The average C-Index of the proposed method is 0.7233, which is improved by 28.0% and 19.9% compared with two state-of-the-art methods.
The Evaluation andOptimizationMethods of Villages inChina: In the Background of a Rural Revitalization Strategy

Over the past few decades of rapid development, China has always attached great importance to the redevelopment of rural areas. Since the 19th National Congress of the Communist Party of China, the rural revitalization strategy proposed at the meeting has always received extensive attention. In 2019, the Chinese central government released a document on its rural revitalization strategy. In the document, Guizhou Province was listed as a key area to receive focus on pursuing rural revitalization. Meanwhile, the Guizhou government also formulated e Implementation Opinions on the People’s Government of Guizhou Province’s Rural Revitalization Strategy. e aim of this paper is to try to establish amodel according to the rural revitalization strategy proposed by the Guizhou government and extracts the main inuencing factors from its analysis. rough the analysis of the data collected during the process of the rural revitalization, the paper undertakes a deep analysis of the evaluation and studies an optimized approach to the revitalization to provide a referenced review for other villages.
A Characterization of Stability of Discrete Hopfield Neural Networks

We discuss the stability of discrete Hopfield neural networks (Shortly, DHNNs) in synchronous mode. To do this, we introduce an equivalent relation in the set $M_{m,\mathfrak{n}}(R)$ of all $m$ by $n$ matrices over the real field $R$ and then obtain a classification of matrices. Thanks to this classification we establish a classification of all discrete Hopfield neural networks with $n$ neurons in such a way that two DHNNs belong to the same class if and only if they have the same dynamic property. Lastly, a characterization of the stability of a DHNN with two neurons in synchronous mode is obtained.
The role of alginate dressings in wound healing

and sodium alginate fibres, which have been entangled to form a strong cohesive product (Thomas, 2000). This produces a highly absorbent, non-adherent dressing that transmits oxygen and moisture vapour (Choucair and Phillips, 1998). In the presence of exudate, the fibres form a hydrophilic gel (Thomas, 2000). During manufacture, a solution of sodium alginate is extruded under pressure through a fine orifice into a bath containing calcium ions. This results in ion exchange, leading to the formation of insoluble calcium alginate fibres (Thomas, 2000). When the dressing is applied to a wound, significant proportions of the calcium ions are replaced by sodium ions from the
of Stem Cell Research Combination of Ki67 Proliferation Index and CD10 in Prognosis of Patients with Follicular Lymphoma

Background &Objective: Markers such as Ki67 and CD10 play a role in the prognosis of follicular lymphoma (FL). However, the combined effect of these factors is still unclear. Our objective was to determine the combination of Ki67 and CD10 in the prognosis in patients with FL. Method: Twenty-seven patients with FL were retrospectively analyzed. Based on immune histochemical staining for Ki67 and CD10 that was performed in biopsy lymph node, the patients were grouped Patients with CD10 negative/Ki67>60% PFS.
An in-depth benchmark study of the CATE estimation problem: experimental framework, metrics and models Version 1

In the context of the Neyman-Rubin framework with binary treatment and outcome, we devise and conduct a rich benchmark study whose general ambition is to ﬁnd the best practices to achieve good predictions of the CATE with machine learning techniques. The major part of our work revolves around two questions: i) what is the most reliable metric to select the best model among several competitors? We experimentally challenge the AUUC with the modiﬁed MSE associated with the AIPW pseudo-outcome, to which we introduce an alternative formulation. We compare them to multiple ground-truth-based metrics on synthetic datasets. ii) how do data generation processes impact the performance of models? We design a special structure for the benchmark and introduce axes of analysis to explore the global and local behaviours of several models (essentially neural nets and random forests). Beyond the validity of our conclusions, another important ambition of our work is to provide valuable data and methods to be included in the demanding and uniﬁed standard of model assessment we need to adopt as a research community in order to deepen our understanding of the CATE task and improve our models.
Blockchain-Based Framework for Enhancing IoT Security

-Much attention was devoted to the Internet of things (IoT) technology from the sectors of industry, academic, and financial. However, even though IoT is full maturity and developed very fast, the centralized IoT system is still suffering from a potential privacy leakage of sensitive information and a single point of failure. This is due to the fact that most existing IoT platforms are highly centralized architectures, and the centralized servers can access the plain text data from the IoT devices. Therefore, we present the potential of integration of Blockchain based-IoT with the attribute-based encryption technique to secure the IoT data, and to grantee the privacy and the integrity of sensing data in a decentralized setting. Our main aim from this integration is to provide the standard characteristics of general IoT systems of real-time monitoring and managing the devices while at the same time, ensure that the security requirements are probably employed. The business logic of this approach is defined by the smart contracts, which contain rules and conditions, and the attribute-based encryption (ABE) technique.
IMPLEMENTATION OF VIRTUAL SYNCHRONOUS GENERATOR TO STABILIZE SYNCHRONOUS GENERATOR AND GRID CONNECTED OPERATIONS

The ongoing evolution of the power system towards a "Smart Grid" implies a dominant role of power electronic converters, but poses strict requirements on their control strategies to preserve stability and controllability. In this perspective, the deﬁnition of decentralized control schemes for power converters that can provide grid support and allow for seamless transition between grid-connected or islanded operation is critical. Since these features can already be provided by synchronous generators, the concept of Virtual Synchronous Generators (VSGs) can be a suitable approach for controlling power electronics converters. The concept of Virtual Synchronous Generators (VSGs) is emerging as an alternative approach for control of power electronic converters operating in the power system. One main motivation for applying VSG-based control is to achieve a simple approach for emulating the inertia effect of traditional synchronous machines. This paper starts with a discussion of the general features offered by the VSG concept in the context of stability of the power system. A speciﬁc VSG implementation is then presented in detail together with some of its speciﬁc conﬁguration. The virtual synchronous generator (VSG) is a control scheme applied to the inverter of a distributed generating unit to support power system stability by imitating the behavior of a synchronous machine. The VSG design incorporates the swing equation of a synchronous machine to express a virtual inertia property. Unlike a real synchronous machine, the parameters of the swing equation of the VSG can be controlled in real time to enhance the fast response of the virtual machine in tracking the steady-state frequency. Based on this concept, the VSG with alternating moment of inertia is elaborated in this paper. In addition, the performance of the proposed inertia control in stability of nearby machines in power system is addressed. The idea is supported by simulation and experimental results, which indicates remarkable performance in the fast damping of oscillations.
Neural Correlates of Subliminal Language Processing this access benefits you. Your matters

Language is a high-level cognitive function, so exploring the neural correlates of unconscious language processing is essential for un-derstanding the limits of unconscious processing in general. The results of several functional magnetic resonance imaging studies have suggested that unconscious lexical and semantic processing is con ﬁ ned to the posterior temporal lobe, without involvement of the frontal lobe — the regions that are indispensable for conscious language processing. However, previous studies employed a similarly designed masked priming paradigm with brie ﬂ y presented single and contextually unrelated words. It is thus possible, that the stimulation level was insuf ﬁ ciently strong to be detected in the high-level frontal regions. Here, in a high-resolution fMRI and multivariate pattern analysis study we explored the neural correlates of subliminal language processing using a novel paradigm, where written meaningful sentences were suppressed from awareness for extended duration using continuous ﬂ ash suppression. We found that subjectively and objectively invisible meaningful sentences and unpronounceable nonwords could be discriminated not only in the left posterior superior temporal sulcus (STS), but critically, also in the left middle frontal gyrus. We conclude that frontal lobes play a role in unconscious language processing and that activation of the frontal lobes per se might not be suf ﬁ cient for achieving conscious awareness.
Radio Properties of the Nuclei in Elliptical, SO and Spiral Galaxies

When Heeschen (1968) found that the nuclear sources in the two elliptical galaxies NGC 4278 and NGC 1052 contained flat spectrum unresolved sources he conjectured that these might be weaker versions of the compact optically thick and strongly variable sources found in the quasar nuclei. This conjecture appears to be correct since these are both now known to have diameters
Proposition of a Smart Environment Architecture for Ressources Monitoring and Rural Activities Management

— We can find different examples of declared Smart Cities in the world: Barcelona, London, Santander, Padova, Paris, Stockholm, etc. In a Smart Planet context, what is the place of the rural territories? We develop a scientific program called Smart Village - Smart Paese: emergence of Smart territories in a small village of 250 people in Corsica island. The goal is to include rural areas is the global Smart Planet by the development of a robust management system for resources and rural activities management. In this paper, we introduce our definition of a Smart Village and we propose a global architecture with 3 parts: (1) a Wireless Sensors Network (WSN) deployment of 20 nodes (with several sensors) according to different activities (smart water, smart buildings, smart farm, smart agriculture), (2) Data storage and Visualization tools and (3) a prediction system. We describe the wireless network deployment using Long Range (LoRa) technology, the used sensors, and the developed dashboards for the dynamic data display. We introduce also the first development ways of the smart approach with Machine Learning algorithms called Smart Entity Model (SEM) using Smart Village data.
The effects of stress and ﬂuid pressure on the anisotropy of interconnected cracks

The cracks in a porous matrix that is subjected to a change in the applied stress or ﬂuid pressure will undergo a distortion related to their orientation relative to the principal directions of the applied stress. Both the crack distribution and the ﬂuid-ﬂow properties of the aggregate will be altered as a consequence, of a change in either the applied stress or ﬂuid pressure, resulting in a change in the effective elastic parameters of the material. An effective medium theory, based on the method of smoothing and incorporating a transfer of ﬂuid between connected cracks via non-compliant pores, is used to derive an expression for the effective elastic parameters of the material, to ﬁrst order in the crack density (cid:2) . This expression involves a dependence on both the applied stress and the ﬂuid pressure, and is used to determine the effects on the anisotropy of the effective medium of the applied stress and the ﬂuid pressure. A number of azimuthally symmetric compressive stresses are applied to an isotropic crack distribution to determine the material properties of the resulting transversely isotropic effective medium, as a function of the excess in compressive stress over ﬂuid pressure. As a result of competing processes, the theory predicts that, for a non-hydrostatic stress, there is a pressure at which the anisotropy reaches a maximum value before the properties of the effective medium decay, under increasing stress, to those of the uncracked matrix. The theory does not, however, account for the material failure that will occur at large compressive stresses. Finally, the theory predicts that S waves are more sensitive to changes in the applied stress or ﬂuid pressure than P waves.
Perspectives Of Patients' Behavior Towards Mobile Health (Mhealth) In Saudi Arabia: A Modified Model Of The UTAUT

: The introduction of information and communication technology (ICT) has been studied for the last twenty years. In the context of Saudi Arabia, better healthcare accessibility and quality of service provision could be achieved through a novel IT application specifically designed for the health sector, namely, mobile health (mHealth). Mobile health uses wireless cellular communication systems to facilitate connections between patients and health services. Nevertheless, there are obstacles that are delaying the implementation of this application in Saudi Arabia. In this study, the importance of effort expectancy, performance expectancy, facilitating conditions, system quality, and social influence were highlighted. Also emphasised was the significance of trust and how it affects the intention of patients to use mHealth. Hence, the study presented a research model following the UTAUT model for better understanding the identified constructs concerning mHealth acceptance. It was observed the importance of the identified constructs as well as put forth certain relevant arguments that future studies must explore