Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of chimeric proteins for serological diagnosis of brucellosis in cattle

Abstract Background and Aim: An accurate diagnosis of Brucella-infected animals is one of the critical measures in eradication programs. Conventional serological tests based on whole-cell (WC) antigens and detecting antibodies against pathogen-associated lipopolysaccharide might give false-positive results due to the cross-reactivity with other closely related bacteria. This study evaluated the serological potential of Brucella spp. chimeric outer membrane proteins (Omps) as antigens in an indirect enzyme-linked immunosorbent assay (i-ELISA). Materials and Methods: The chimeric gene constructs of the most immunodominant regions of Brucella Omps 25+31, 25+19, and 19+31 were cloned into the pET28a expression vectors and transformed into Escherichia coli BL21 (DE3). The serological potential of chimeric proteins compared with single recombinant Omps (rOmps)19, 25, and/or 31 were studied on blood serum samples of (i) a rabbit immunized with killed Brucella abortus 19WC, (ii) mice immunized with single rOmps, (iii) cows seropositive for brucellosis by rose Bengal test, and (iv) cattle naturally and/or experimentally infected with brucellosis. Results: E. coli BL21 actively produced Brucella chimeric rOmps, the concentration of which reached a maximum level at 6 h after isopropyl-b-D-1-thiogalactopyranoside stimulation. Target proteins were antigenic and expressed in an active state, as recognized by rabbit anti-B. abortus antibodies in an i-ELISA and western blotting. Murine antibodies against the single rOmps reacted with chimeric antigens, and conversely, antichimeric antibodies found their epitopes in single proteins. Brucella chimeric rOmps showed higher antigenicity in blood sera of seropositive cattle kept in the hotbed of the infection and/or experimentally challenged with brucellosis than single proteins. Conclusion: Brucella chimeric recombinant outer membrane proteins could be a potential antigen candidate for developing an ELISA test for accurate diagnosis of bovine brucellosis.
Implementation and Evaluation of Movie Recommender Systems Using Collaborative Filtering

Recommender systems have been utilized in several e-commerce applications. There are three types of recommender systems: content based filtering, collaborative filtering, and hybrid recommender systems. In this paper, two types of collaborative filtering techniques are evaluated using the Movielens dataset, which contains 1 million ratings. These two types are matrix factorization and user based collaborative filtering with cosine similarity function. The evaluation of the two types is based on the Root Mean Square Error (RMSE) of the complete dataset and different partitions of the complete dataset. The partitions are determined by age, genre, or date of rating. For both types, the results show that the RMSE of the complete dataset is less than that of each partition. Also, in this thesis, we introduce a new hybrid technique which integrates age, genre, and date into the definition of cosine similarity function. The new technique is evaluated using two Movielens datasets of different sizes: 100,000 ratings and 1 million ratings. For both datasets, the evaluation results show that the RMSE of the new hybrid technique is less than that of the user based collaborative filtering with traditional cosine function. For the dataset containing 100,000 ratings, the evaluation results show that the RMSE of the new technique is lower than that of matrix factorization for small training sets and higher for large training sets.
Protein-protein interaction networks and protein-ligand docking: Contemporary insights and future perspectives

Traditional research means, such as in vitro and in vivo models, have consistently been used by scientists to test hypotheses in biochemistry. Computational (in silico) methods have been increasingly devised and applied to testing and hypothesis development in biochemistry over the last decade. The aim of in silico methods is to analyze the quantitative aspects of scientific (big) data, whether these are stored in databases for large data or generated with the use of sophisticated modeling and simulation tools; to gain a fundamental understanding of numerous biochemical processes related, in particular, to large biological macromolecules by applying computational means to big biological data sets, and by computing biological system behavior. Computational methods used in biochemistry studies include proteomicsbased bioinformatics, genome-wide mapping of protein-DNA interaction, as well as high-throughput mapping of the protein-protein interaction networks. Some of the vastly used molecular modeling and simulation techniques are Monte Carlo and Langevin (stochastic, Brownian) dynamics, statistical thermodynamics, molecular dynamics, continuum electrostatics, protein-ligand docking, protein-ligand affinity calculations, protein modeling techniques, and the protein folding process and enzyme action computer simulation. This paper presents a short review of two important methods used in the studies of biochemistry – protein-ligand docking and the prediction of protein-protein interaction networks.
An integrated method for evaluating the quality of education and university performance

Purpose. To create an integrated methodology for assessing educational and scientific activities of higher education institutions (HEI) following the recommendations of international ranking agencies and specific indicators that consider the institution’s position at the national level. Methodology. The combined method of evaluation of the HEI activity is applied. Some evaluation indicators are inherent in the HEI (in whole or in part). Others have a specific numerical value. The calculation of the final ranking indicator is based on comparing universities according to the indicators from the methodology (ranking positions in the world educational and scien­ tific space, education quality indicators, financial indicators, and quality of scientific activity) with the reference university, which has the best result for each indicator. Findings. An integrated methodology algorithm for assessing the educational and scientific activities of the HEI is presented and recommendations are given for the use of each of the indicators depending on the peculiarities of the ranking (for example, general ranking or ranking by direction). Originality. An integrated method of external evaluation of educational and scientific activities is proposed, considering both well­known indicators of world ranking agencies and specific (different from world ranking indicators) indicators for assessing universities’ activities at the national level. Practical value. The method allows determining some economic indicators of the dynamics (positive or negative) of university development and finding “bottlenecks” in the implementation of specific activities in the institution’s educational and scientific activities. The methodology considers the actual educational activities (training of higher education institutions at all levels). It also allows us to assess the success of free economics in implementing scientific activities as a significant factor in creating new knowl­ edge and improving educational services quality.
An Enhanced Technique for Red-Eye Detection and Correction using Neural Network

 Abstract — Redeye is a common problem in consumer photography. When a ﬂash is needed to illuminate the scene, the ambient illumination is usually low and a person’s pupils will be dilated. Light from the ﬂash can thus reﬂect o ﬀ the blood vessels in the person’s retina. In this case, it appears red in color and this reddish light is recorded by the camera. Though commercial solutions exist for red-eye correction, all of them require some measure of user intervention. A method is presented to automatically detect and correct red-eye in digital images. The algorithm contains a redeye detection part and a correction part. The detection part is modeled as a feature based object detection problem. Adaboost is used to simultaneously select features and train the classiﬁer. A new feature set is designed to address the orientation-dependency problem associated with the Haar-like features commonly used for object detection design. For each detected redeye, a correction algorithm is applied to do adaptive desaturation and darkening over the redeye region. The experimental results indicate that, the system can remove the red-eye automatically and effectively in the digital photo and has good robustness and rapidity.
CROWD-FUNDING PLATFORMS-EVIDENCE FROM KICKSTARTER

Mass use of social networks and the increasing availability of internet technologies creates a series of possibilities for raising funds for entrepreneurs. Crowdfunding is one such option, in which individuals (project creators) can share their ideas with the general public (crowd) via the dedicated Internet platforms, resulting in getting project supporters (backers). The relevance of crowdfunding platforms is thoroughly described in the contemporary academic literature. Furthermore, crowdfunding has the potential to contribute significantly to the financing of environmental ideas and projects, hence accelerating sustainability. The purpose of this paper is to highlight some of the techniques that can be used in the analysis of data collected from CF platforms, as well as to provide an insight into tests for differences between characteristics of the project with environmental concepts. The study uses a sample of 121,437 projects from the Kickstarter platform between 2011 and 2019. A t-test was employed to determine whether the differences among environmental and non-environmental campaigns. The results show that environmental campaigns are more successful, have a higher goal, attract more funds and investors, while the Kickstarter team favourites them. Analysis showed that quantitative field studies and big data analysis can offer a deeper analysis of the main characteristics of crowdfunding campaigns.
Cost Efficient Multi-Source Energy Mixing for Renewable Energy Microgrids Using Hybrid Abcpso Algorithm

Energy management systems can provide a variety of features and services to prosumers. One of its most important functions is to determine cost-effective energy mixing rates by evaluating the unit price and power of energy resources. This study mainly proposes a hybrid optimization based on two heuristic algorithms: Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms. A hybrid ABC-PSO algorithm has been applied to solve the energy efficient multi-source energy mixing problem in Matlab. The proposed algorithm has been tested in the simulation of an energy management system including a grid, solar panel, wind turbine, and storage unit. The results show that the proposed algorithm responds appropriately to meet the hourly changing demand of the consumer in cases of energy production fluctuations in renewable energy sources and dynamic electricity price tariff implementation of the grid. This method can provide cost efficiency by maintaining the energy balance of consumers in smart grids. The algorithm has a simple structure, thus the method provides a solution for low-cost energy management applications in the microgrid.
Mitochondrial DNA (mtDNA) and Cancer Pathogenesis – The Role of mtDNA Mutations: A Review

Mitochondria are essential metabolic organelles as produce cellular energy by oxidative phosphorylation (OXPHOS), produce reactive oxygen species (ROS) as a by-product, and regulate functions such as apoptosis via the mitochondrial permeability transition pore (mtPTP). However, mitochondria are also responsible for multiple cellular functions such as, cellular development, growth, signals interaction from mitochondria to nucleus and nucleus to mitochondria, and are involved in miscellaneous metabolic pathways. Those processes are accomplished by several protein complexes and mitochondrial respiratory chains (MRC) encoded by nuclear and mitochondrial DNA (mtDNA), as are assembled from both nuclear DNA (nDNA) and mitochondrial DNA genes. The mt DNA is a circular, double-stranded molecule 16,569 base pairs (bp) in length, contains 37 genes which code 13 polypeptides, 2 genes of rRNA (12S,16S), and 22 genes of tRNA, and is present in thousands of copies in each human cell. Almost 90 years ago, Otto Warburg hypothesized that a defect in energy metabolism is the initial cause of cancer. Mitochondria have also active roles in a diversity of other processes, including inflammation, whereas their functions seem to influence some of cancer hallmarks, which include evasion of cell death, genome instability, tumor-promoting inflammation and metastasis. Defects in mitochondrial function which are associated with bioenergetic deficiencies can lead to nDNA genome instability, resistance to apoptosis and induction of NADPH oxidase which is implicated in ROS production. Researches have demonstrated that mtDNA shows a high mutations rate most of which are responsible for mild mitochondrial dysfunction and its essential role in tumorigenesis, whereas enhanced mitochondrial biogenesis is frequently recorded in cancer cells. Although mtDNA has been implicated in cancer pathogenesis, its role remains to be defined. The aim of the current article was to examine the role of mtDNA mutations in cancer pathogenesis.
Sister Marie-Joseph’s Nodule Revealing a Digestive or Gynecological Carcinoma: About 5 Cases in One Hospital of a Poor Country

1. Abstract Sister Mary-Joseph nodule is an umbilical skin metastasis from a malignant tumor of abdominal origin. It is a rare and late clinical sign, indicative of an advanced stage of digestive or ovarian carcinoma. We report five cases of an umbilical skin metastasis revealing a colonic tumor in 3 cases and an ovarian tumor in two cases. Through five cases we want to describe the epidemiological, diagnostic, therapeutic and prognostic peculiarities of Sister Mary-Joseph's nodule. 2. Introduction The umbilicus is the parietal scar left by the insertion of the cord. It maintains relations with the intra-abdominal organs. It is sometimes the elective seat of infectious, malformative, inflammatory and tumor of skin diseases [1, 2]. Malignant tumor lesions are primary or secondary. The secondary lesion is represented by Sister Mary-Joseph’s nodule, which is an umbilical skin metastasis from digestive or gynecological cancer [2]. The objective of this work is to show, through five cases of Sister Marie-Josephe's nodule, the diagnostic, therapeutic and prognostic features of this condition in developing countries. 3. Observation 1 A 70-year-old patient, known hypertensive, admitted in emergency for umbilical and periumbilical pain evolving for more than 72 hours. The examination showed apyrexia; a deterioration of the general condition; the abdomen was of normal size without scar, with the presence of an umbilical nodule, hard and tender. The hernial orifices and ganglionic areas were free; no rectal nodule. Abdominal computed tomography (CT) noted a tumor in the left colon with nodules of peritoneal carcinoma. Biopsy of the nodule noted an undifferentiated adenocarcinoma of colonic origin. He was put on chemotherapy. The outcomes were marked by death a few months later.
The importance of metaphysics in the theory of nontrivial physical education – Polish tradition

The sociological cognition of physical education is, in itself complete but insufficient. Within sociological theory we will find explanations of the social and individual functions of physical education. However we find neither 1) justification of the reason for its origins: where does it come from? , why is it here? , nor 2) interpretation of the meaning – what value justifies the meaning ? The first question requires reference to the basics of metaphysics, and the second to the social philosophy and philosophy of culture. Expanding the scope of cognition of physical education by a philosophical thread shows this field of education to be a metaphysical singularity and a cultural universal with a three-stage chain of social causality. In the realities of a pedagogical university, the transformation of a theoretician of physical education into a philosopher of physical education takes place alongside the operation of justifying the sense of being. This is the transition from an explanation of the existence of being in the light of the truth about the cause, to a justification of the rightness of the existence of being in the light of the truth about the good. The intellectualization of the philosophical rationality of a student as a future teacher can increase discreetly the effectiveness of influencing the personality of the student. The aim of the considerations is to show the importance of metaphysical thinking in expanding the explicative range of physical education theory: from the trivial to the non-trivial.
Treatment Patterns and Associated Clinical Outcomes in Type 2 Diabetes Patients Initiating Second-Line Glucose-Lowering Therapy: Interim Analysis of Baseline Data from Turkey Arm of the Global DISCOVER Study

Treatment Patterns and Associated Clinical Outcomes in Type 2 Diabetes Patients Initiating Second-Line Glucose-Lowering Therapy: Interim Analysis of Baseline Data from Turkey Arm of the Global DISCOVER Study İkinci-Sıra Glukoz Düşürücü Tedaviye Başlanan Tip 2 Diyabet Hastalarında Tedavi Uygulamaları ve İlişkili Klinik Sonuçlar: Global DISCOVER Çalışması Türkiye Kolu Başlangıç Verilerinin Ara Analizi
JUNLP@ICON2020: Low Resourced Machine Translation for Indic Languages

In the current work, we present the description of the systems submitted to a machine translation shared task organized by ICON 2020: 17th International Conference on Natural Language Processing. The systems were developed to show the capability of general domain machine translation when translating into Indic languages, English-Hindi, in our case. The paper shows the training process and quantiﬁes the performance of two state-of-the-art translation systems, viz., Statistical Machine Translation and Neural Machine Translation. While Statistical Machine Translation systems work better in a low-resource setting, Neural Machine Translation systems are able to generate sentences that are ﬂuent in nature. Since both these systems have contrasting advantages, a hybrid system, incorporating both, was also developed to leverage all the strong points. The submitted systems garnered BLEU scores of 8.701943312, 0.6361336198, and 11.78873307 respectively and the scores of the hybrid system helped us to the fourth spot in the competition leaderboard.
BIM COST ESTIMATION GUIDELINES FOR BRAZILIAN PUBLIC

The cost estimation of public sector projects in Brazil must observe the prevailing legislative framework to reduce the likelihood of under-and-over pricing of construction works and potential corruption. Therefore, initial estimates for projects must be prepared using the National System of Costs and Civil Construction Indices (SINAPI). This is a laborintensive process, and the result estimates produced may be inaccurate. Therefore, it becomes difficult to determine if the under-or-over pricing of works has arisen during the tendering process. The problem is approached with new guidelines for improving the accuracy of estimates that utilizes SINAPI methodology with Building Information Modelling cost estimation. The research method used was Design Science Research (DSR) developing: problem diagnosis, solution proposition, implementation, and evaluation of contributions. The proposed guidelines were tested in two projects: a multi-family residential building and a Reference Center for Social Assistance (CRAS) using a BIM authoring platform. It has been demonstrated that text parameters can be used to identify material specifications, the geometry of elements, and specify substrates, improving the process to generate an estimate following ‘SINAPI factors’ tree’ elemental costs. The guidelines comply with prevailing Brazilian legislation and can improve the process and accuracy of the pre-tender estimate.
Effect of Treatment with Gibberellic Acid on the Dormancy and Sprouting of Tubers of Some Potato Varieties

The dormancy of potato tubers after harvest is one of the most important factors affecting the yield of the subsequent potato crop. The genetic factor is one of the most important factors affecting the sprouting and the length of the dormant period. Therefore, we conducted this research with the aim of studying the behavior of the tubers of some potato varieties cultivated in northern Syria towards the dormancy and the sprouting. The research was carried out in the 2019 agricultural season in the Al-Rouj Plain, which is considered one of the most important potato production areas in northern Syria. The test was carried out on three varieties: Spunta, Synergy, and Panela. The tubers were treated with gibberellic acid at four concentrations (0, 5, 10, and 20 ppm) during four soaking periods (0, 10, 20, and 30 minutes). The design was used completely randomly in the experiment with three replicates per treatment and each replicate was one kg tubers. The results showed the superiority of all treatments on the control and in all the studied characteristics. Spunta exceeded the other studied varieties in sprouting speed by 24.75 days, and the number of sprouts on the sample by 8.78. While the variety Panela outperformed the average weight of one sprout by 6.85 g. In addition, the highest concentration (20 ppm) exceeded the other concentrations in all the studied traits. The longer soaking period (30 minutes) outperformed the other soaking periods in all the studied traits. In general, the interaction of Spunta with gibberellin was superior to the higher concentration and the longer soaking period in the overall studied traits.
EVTHON: PLATFROM FOR ELECTRIC VEHICLE OWNERS

— Electric vehicles (EVs) originally appeared in the mid-19th century, when electricity was one of the favoured means for motor vehicle propulsion, providing a degree of comfort and ease of operation that gasoline cars could not match. In this work, we create a virtual community for electric vehicle users to assist them cope with range anxiety. The initial step was to organize the data on charging station locations for vehicle routing. The information was acquired from a variety of sources. Google Maps SDK was used to route the travel through the recharge stations. ANDROID was used to create the entire platform.
Capacity Analysis for mmWave Communication Systems Based on 3D Spatial Propagation Models

Millimeter wave (mmWave) has proven to be a promising solution in meeting the capacity demands. However, these signals experience a significant path-loss in free space and cannot propagate longer distances with the conventional techniques. This weakness can be overcome by deploying a large number of antennas. Due to the smaller size of antennas, many antennas can be compensated in a small area. However, one cannot use simply conventional digital beamforming techniques for multilayer communication due to increase in hardware complexity. To obtain efficient multistream performances, hybrid beamforming structures have been introduced [1], [2]. One such type is full-dimensional MIMO (FDMIMO) that provides a practical solution to the space limitation issue in very large scale uniform linear arrays used in earlier base stations (BS) [3]. Hence, the mmWave can be combined with FDMIMO that utilizes uniform rectangular array (URA) instead of uniform linear arrays (ULA) [4]. Therefore, mmWave based FD-MIMO systems will be able to efficiently meet the demands of future sixth generation (6G) services. In this paper, we introduce mmWave systems based on FD-MIMO and analyze the sum rate performances by introducing the several additional loss components that become significant under high frequency regime. Also, the effect of increasing the elevation dimension elements is analyzed and the feasibility of FDMIMO is discussed for future mmWave systems.