Miracle-dz/UniFAR-FTUs huggingface dataset:
Can the Game-Based Learning Come? Virtual Classroom in Higher Education of 21st Century

In recent years, the growing popularity of gamification in learning-organization has shown that it will become an integral part of both traditional and online education at different educational levels. Schools have begun to recognize the value of a successful gamification strategy in motivating students and stimulating the effectiveness of the learning process. The article presents a kind of game-based teaching-learning environment, a solution for integrating digital games into the learning-teaching process, linking theoretical and practical knowledge by the game through e-learning of accounting skills with special emphasis on the experiential learning method. The game-based virtual classroom presented in the present article has been working successful in higher education for several years, the number of the active students grown from semester to semester, the gamification becomes more and more popular in this level of the education, too.
REUSE OF COLLAGEN AND HYDROXYAPATITE FROM THE WASTE PROCESSING OF FISH TO PRODUCE POLYETHYLENE COMPOSITES

Túlio P. Boaventuraa,*, , Anderson M. Peresb, Viviane S. B. Gilb, Camila S. B. Gilb, Rodrigo L. Oréficeb and Ronald K. Luza Departamento de Zootecnia, Escola de Veterinária, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte – MG, Brasil Departamento de Engenharia Metalúrgica e de Materiais, Escola de Engenharia, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte – MG, Brasil
Habibi - a multi Dialect multi National Arabic Song Lyrics Corpus

This paper introduces Habibi the first Arabic Song Lyrics corpus. The corpus comprises more than 30,000 Arabic song lyrics in 6 Arabic dialects for singers from 18 different Arabic countries. The lyrics are segmented into more than 500,000 sentences (song verses) with more than 3.5 million words. I provide the corpus in both comma separated value (csv) and annotated plain text (txt) file formats. In addition, I converted the csv version into JavaScript Object Notation (json) and eXtensible Markup Language (xml) file formats. To experiment with the corpus I run extensive binary and multi-class experiments for dialect and country-of-origin identification. The identification tasks include the use of several classical machine learning and deep learning models utilising different word embeddings. For the binary dialect identification task the best performing classifier achieved a testing accuracy of 93%. This was achieved using a word-based Convolutional Neural Network (CNN) utilising a Continuous Bag of Words (CBOW) word embeddings model. The results overall show all classical and deep learning models to outperform our baseline, which demonstrates the suitability of the corpus for both dialect and country-of-origin identification tasks. I am making the corpus and the trained CBOW word embeddings freely available for research purposes.
The Effect of Incentive Hierarchy System of Social Media In the Delivery of Quality Information

This paper investigates the effect of social media incentive hierarchy system on the quality of the shared information and the spillover effect using data from 67 cryptocurrency markets along with the corresponding social media discussions. We show empirical evidence that high-rank social media users displaying high-level badges earned from the social media tend to provide low-quality information due to reduced incentives after obtaining the badge and increased tendency to engage in less informative socialization activities. In contrast, low-rank social media users with low-level badges tend to provide high-quality information. However, messages shared by high-rank social media users spill over to other cryptocurrency markets more easily because of higher visibility in the online community.
Hits and Lead Discovery in the Identification of New Drugs against the Trypanosomatidic Infections

The Neglected Tropical Diseases (NTDs) are a group of 17 pathologies, recognized by the World Health Organization (WHO), which are endemic in 149 countries of tropical and sub-tropical areas of the globe, and affect more than one billion people overall (Feasey et al. 2010). The pathologies are all caused by microparasites or macroparasites. Among the diseases provoked by microparasites, three are caused by kinetoplastidae, a group of flagellated protozoa transmitted by insect vectors: Chagas disease, Human African Trypanosomiasis and leishmaniasis. The focus of the present chapter is on the identification of new drugs for the treatment of trypanosomatidic infections such as Chagas disease, caused by Trypanosoma cruzi, and Human African Trypanosomiasis, caused by Trypanosoma brucei (Filardy et al. 2018).
NEUTRALIZING ANTIBODIES AND FRAGMENTS THEREOF DIRECTED AGAINST PLATELET FACTOR-4 VARIANT 1 (PF4V1) FIELD OF THE INVENTION: The present invention

(51) International Patent Classification: (74) Agents: NIEMANN, Frederic et al; Cabinet Plasseraud, A61K 39/395 (2006.01) C07K 16/24 (2006.01) 52 rue de Ia Victoire, F-75440 Paris Cedex 09 (FR). A61P 35/00 (2006.01) (81) Designated States (unless otherwise indicated, for every (21) International Application Number: kind of national protection available): AE, AG, AL, AM, PCT/EP2009/063005 AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, (22) International Filing Date: DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, 7 October 2009 (07.10.2009) HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, (25) Filing Language: English KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, (26) Publication Language: English NO, NZ, OM, PE, PG, PH, PL, PT, RO, RS, RU, SC, SD,
" Fun with Morse Code " , " Hieroglyph 2 " , " Lloyd Allison ’ s Corecursive Queues "

In a purely functional setting, real-time queues are traditionally thought to be much harder to implement than either real-time stacks or amortized O(1) queues. In“Circular Programs and Self-Referential Structures,” [1] Lloyd Allison uses corecursion and self-reference to implement a queue by defining a lazy list in terms of itself. This provides a simple, efficient, and attractive implementation of real-time queues. While Allison’s queue is general, in the sense it is straightforward to adapt his technique to a new algorithm, a problem has been the lack of a reusable library implementation. This paper solves this problem by structuring the corecursion using a monadic interface and continuations. Because Allison’s queue is not fully persistent, it cannot be a first class value. Rather, it is encoded inside particular algorithms written in an extended continuation passing style. In direct style, this extension corresponds to mapCont , a control operator found in Control . Monad . Cont , part of the Monad Template Library for Haskell. [2] This paper argues that mapCont cannot be expressed in terms of callCC , return, and (>>=). The essence of this paper is mfixish, a novel fixpoint operator for continuations. It cooperates with mapCont to create value recursion. Although this paper tends to avoid explicit use of mfixish, it can be used to introduce the self-reference inherent in corecursive queues. The Monad.Reader Issue 14
Analysis of Blimp-1 and PD-1/PD-L1 Immune Checkpoint in an Autoimmune Thyroiditis Animal Model

Objective B lymphocyte-induced maturation protein 1 (Blimp-1) and programmed cell death protein 1 (PD-1) have opposing roles in the development of T cells; however, the mechanism of autoimmune thyroiditis- (AIT-) associated abortion is unclear. The present study investigated the expression of Blimp-1 and PD-1/PD-ligand 1 (PD-L1) in AIT-associated pregnancy loss and elucidated the related signaling pathway involving in the inflammatory response. Methods An experimental fetal loss model with autoimmune thyroiditis was established after murine thyroglobulin- (mTg-) immunized CBA/J female mice mating with Balb/c males. ELISA was employed to investigate the TgAb level in the serum of CBA/J female mice. The expression of Blimp-1, PD-1/PD-L1, mammalian target protein rapamycin (mTOR), and Foxp3 proteins in the placenta and spleen was detected through immunofluorescence staining and western blotting. Results ELISA indicated that the serum TgAb level in the mTg group was higher than that in the control group (P < 0.001). Fetal resorption rates increased in the mTg group compared with those in the control group (45.63% vs. 3.1%, P < 0.05). Blimp-1 levels in the placenta and spleen were higher in the AIT-related miscarriage group than in the control group. However, the expression of PD-1/PD-L1 and Foxp3 was significantly decreased in the placenta and spleen in the AIT-related miscarriage group. Conclusion Blimp-1 participates in the pathogenesis of autoimmune thyroid disease-associated pregnancy loss through the inflammatory immune response, which is potentially mediated through the PD-1/PD-L1 signaling pathway.
Recursive Functions (Stanford Encyclopedia of Philosophy)

Such a definition might at first appear circular in virtue of the fact that the value of fact(x) on the left hand side is defined in terms the same function on the righthand side. However a characteristic feature of recursive definitions is that they allow for the values of functions which they describe to be calculated by successively “unwinding” the clause for x > 0 until the clause for x = 0 (the so-called base case) is reached. For instance the value of fact(4) may be calculated as follows:
Social Responsibility ETA Index 2019

Corporate Social Responsibility (CSR) is an essential part of sustainability. The CSR concept can be extended to social responsibility of organisations and personal responsibility of the citizens (Personal Social Responsibility). Extending the CSR concept requires increasing the knowledge of it. The Social Responsibility Index (SR Index), inspired by the CSR indices used to measure the performance, can be a convenient tool to educate adult population in the Lifelong Learning (LLL) process. It is essential that the index is understandable for all users. Moravian Business College Olomouc has applied andragogical approaches in an index methodology proposal – so called SR ETA Index 2019 (hereinafter referred to as SREI). The aim of the paper is to present the SREI. Beyond the function of the measuring instrument, it can be used to educate all types of target user groups. The SREI design is based on a combination of piloting methodology and field pre-research methodology. Keywords: CSR as social construct, E-A-R learning method, LLL, SREI index
Cyclic universes & direct detection of cosmic expansion by holonomy in the McVittie spacetime

This dissertation consists of two parts. They are separate ideas, but both fall into the context of General Relativity using dynamical systems. Part one is titled Cyclic Universes. It is shown that a Friedmann model with positive spatial sections and a decaying dark energy term admits cyclic solutions which is shown graphically by the use of phase planes. Coupling the modified Friedmann model to a scalar field model with cross-sectional terms in order to model the reheating phase in the early universe, it is found that there is a violation of the energy condition, i.e. |w| > 1, when the universe is in the contracting phase and re-collapses again. We suspect that the cause for this violation is due to the asymmetry of the solution of w together with the cross-sectional terms at the bounce preceding slow-roll inflation. Part two is titled Thought Experiment to Directly Detect Cosmic Expansion by Holonomy. Two thought experiments are proposed to directly measure the expansion of the universe by the parallel transfer of a vector around a closed loop in a curved spacetime. Generally, expansion would cause a measurable deficit angle between the vector’s initial and final positions. Using the McVittie spacetime (which describes a spherically symmetric object in an expanding universe) as a backdrop to perform these experiments it is shown that the expansion of the universe can be directly detected by measuring changes in the components of a gyroscopic spin axis. We find these changes to be small but large enough (∆S ∼ 10−7) to be measured if the McVittie spacetime were a representation of our universe.
Removal of chlornitrofen pollutants from water by modified humic acid-based hydrophobic adsorbent

Humic acid (HA) is considered as a ubiquitous natural resource around the globe and a common pollutant in the aqueous environment. In this case, HA was modified via simple etherification reaction and a new hydrophobic adsorbent (HAEE) was synthesized for removal of chlornitrofen pollutants (COPs) from aqueous solutions. The adsorption behaviors of HAEE toward COPs, including chlornitrofen (CNP), 2,4,6-trichlorophenol (2,4,6-TCP) and p-nitrophenol (PNP) from aqueous solutions were investigated. As a result, the HAEE adsorbent exhibited excellent adsorption performances for both single pollutant and multi-component COPs (removal efficiency > 95%). Meanwhile, the negligible pH influence (pH 4~8), short equilibrium time (8 h) and satisfactory reusability were also observed. Desorbed pollutants were completely degraded by a fluorine-based titanium dioxide-based photocatalyst under visible-light irradiation for the innocuous treatment. Furthermore, it is revealed that the hydrophobic interaction is a dominant force during adsorption process. These results suggest that hydrophobic HAEE adsorbent is expected to be a promising option for the treatment of various COPs in water/soil environment.
A 1 em testes de papel Production and characterization of the fusion ZZapo-CBM 64 for the capture and detection of apolipoprotein-A 1 in paper tests

Affibodies (ZZ) are small affinity proteins that can be engineered to bind to specific targets. These molecules have emerged as an alternative to antibodies due to their simpler and cheaper production process. The objective of this work was thus to assess the possibility of using an affibody (ZZapo) to capture Apolipoprotein-A1 (Apo-A1) and its detection using Anti-Apo-A1 antibodies conjugated to Gold Nanoparticles (AuNPs) on a Microfluidic Paper-Based Analytical Device (μPAD). To achieve the proposed objective, a fusion of a Carbohydrate Binding Molecule of the family 64 (CBM64) with a ZZapo affibody (ZZapo-CBM64) was successfully designed, produced in E. coli, sequenced, purified and quantified. The ZZapo-CBM64 fusion was then compared to a similar ZZ-CBM64 fusion (produced and purified in the same way) with immunoglobulin G (IgG) binding capacity, and tested for its cellulose binding capacity. Both fusions showed high affinity to cellulose particles and paper. They were also tested for IgG binding capacity, using a fluorescently labelled IgG. While ZZCBM64 successfully captured IgG, the new ZZapo-CBM64 did not capture the labelled IgG. A μPAD test was designed and produced with wax printed hydrophobic barriers, and the use of an adhesive membrane in the bottom of the test enabled running tests on a flat surface, and contributed for faster sample flow. μPAD tests showed that ZZapo-CBM64 and AuNPs had non-specific interactions, which were removed by conjugating AuNPs with Bovine Serum Albumin (BSA) and using a buffer containing BSA and Tween20. μPAD tests for the detection of Apo-A1 showed non-specific binding of Apo-A1 and the adhesive membrane, which was removed by using ammonium bicarbonate buffer. Apo-A1 detection in μPADs was unsuccessful, which was shown to be caused by ZZapo-CBM64 failing to capture Apo-A1. This failed capture could be caused by the capture zone of the protein being blocked. Future works should be directed to the study of the 3D structure of this fusion, as well as the study of other fusions with different affibody variants to assess if this problem is exclusive to ZZapo-CBM64 or not.
Enhancing the Performance of Geometric Algorithms in Geospatial Data

: Geometric Algorithms is a computer science issue inGeographic Information System.However some algorithms are better than the others due to the response time and accuracy.This paper describes the performance of proposed Geo-Algorithm that deals with the GeoSpatialdata.GeoSpatial data identifies the geographic location and features of earth such as location and related latitude and longitude.A new algorithm is proposed, that helps to find the nearest neighbor.Experimental studies shows that proposed Geo-Algorithm is outperforming when compared to the existing one.This algorithm helps to find accurate Nearest Neighbor.For this we have used weather data and location related latitude and longitude dataset.
Government Intelligence, Efficacy and Adaptability in Changing Environments

Societies change through external pressures from a changing environment, or immanently from the internal cultural dynamic that naturally occurs within social agencies. As a result these political, security, social, economic and other changes are needed that present challenges to public administration. Consequently, public administration must adapt and identify the development of new policies and functions. Of critical importance to the state are the preeminent public institutions that are part of the development process. The outcomes are the result of both public policy and government efficacy. Organizational adaptability involves the anticipation of the future, where adaptation is an internal process that is prompted by environmental change and self-production. The capacity of an agency to adapt is affected by efficacy which conditions it to be effective and efficient. Efficacy is therefore a precondition for successful adaptability and the ability to adapt is a consequence of efficacy. Inefficacy, through its bounding effect on an agency’s intelligences, sets limits to its capability of achieving high levels of performance in organizations. Efficacy can be examined in terms of a cybernetic model of a cognitive social agency, allowing distinctions to be made between public policy objectives and the resulting outputs, this thus enabling proposed measurement of efficacy.
A High-Precision Fatigue Detecting Method for Air Traffic Controllers Based on Revised Fractal Dimension Feature

As air traffic volume increases, the air traffic controller (ATC) fatigue has become a major cause for air traffic accidents. However, the conventional fatigue-detecting methods based on speech are neither effective nor accurate because the speech signals are nonlinear and complicated. In this paper, an ATC fatigue-detecting method based on fractal dimension (FD) is proposed. Firstly, a special speech database of ATC radiotelephony communications is constructed. These radiotelephony communications are obtained from Air Traffic Management Shandong Bureau of China. Then, speech signals implement a wavelet decomposition and FD calculation. The calculation result shows the significant difference among the FD of the speech signal before and after fatigue. Furthermore, a novel fatigue feature of the ATC based on the FD of speech is built. A series of experiments are conducted to detect the ATC fatigue with the fatigue feature comparison process and a support vector machine (SVM). The results show that the accuracy in detecting ATC fatigue based on FD was 92.82%, which are higher than the state-of-the art methods. The research provides a theoretical guidance for Air Traffic Management Authority on detecting ATC’s fatigue, while it may provide reference for the fatigue assessment in other professional fields of civil aviation.
The Future of Low-End Motes in the Internet of Things: A Prospective Paper

Undeniably, the Internet of Things (IoT) ecosystem continues to evolve at a breakneck pace, exceeding all growth expectations and ubiquity barriers. From sensor to cloud, this giant network keeps breaking technological bounds in several domains, and wireless sensor nodes (motes) are expected to be predominant as the number of IoT devices grows towards the trillions. However, their future in the IoT ecosystem still seems foggy, where several challenges, such as (i) device’s connectivity, (ii) intelligence at the edge, (iii) security and privacy concerns, and (iv) growing energy needs, keep pulling in opposite directions. This prospective paper offers a succinct and forward-looking review of recent trends, challenges, and state-of-the-art solutions of low-end IoT motes, where reconfigurable computing technology plays a key role in tomorrow’s IoT devices.
ENGLISH CURSIVE SCRIPT RECOGNITION

This system proposes a fast method for english cursive script recognition (ECSR) which presents three main contributions. The first one is Unwanted Lines Elimination Algorithm (ULEA) . After binarization the input image by using an adaptive thresholding, Unwanted Lines Elimination Algorithm (ULEA) is proposed to enhance the image. The second contribution is that our proposed ECSR method processes very low-resolution images taken by a scanner. After the vertical edges have been detected by ULEA, the most-like character details based on feature information are highlighted. Then, the sample region based on statistical and logical operations will be extracted. The third contribution is character classification is achieved by using support vector machines (SVMs). A database of 1080 characters was used to train and test the cursive character recognizer. SVMs compare notably better, in terms of recognition rates, with popular classifiers, SVM recognition rate is among the highest presented in the literature for cursive character recognition.
ACCIDENT AVERTING SYSTEM-LITERATURE REVIEW

Roads are the major means of transportation in India today. In the past twenty years, there has been a tremendous increase in the vehicle population. One of the increasing problems citizens face is worsened road conditions. With the increase in accident rates and poor road quality across the country, the good health of public roads is of utmost importance. Another serious problem that the country is facing includes death and injuries due to road accidents. The collision of an animal with the vehicle on the highway is one such big issue that leads to such road accidents. As road accidents prove to be the biggest threat to wildlife, the environmental impact is of increasing interest and concern. The study indicates that most research focuses on data analytics with relatively little on system completeness as well as developing a full-proof system. The systems designed previously need special kind of infrastructure. The results also indicate that more empirical research is needed to develop an understanding of the concept to come up with a unique solution. The paper describes a systematic literature review of peer-performed projects and reviews journal articles published from 2009 to 2018 on the pothole and wildlife detection.