Miracle-dz/UniFAR-FTUs huggingface dataset:
Separation of Singing Voice from Arabic Music Background Using Robust Principal Component Analysis

Separation of voice singing has gained significant interest in many applications in the world. The aim to separate music and singing voice approach is to isolate music signal from the voice of the sing, which consider an important music information retrieval (MIR) technology. To process wide music libraries, tools can extract important details about musical pieces from music signal are needed . This paper discusses a proposed method for using Robust Principal Component Analysis technique to separate voice of singing from Accompanying arabic music. Result show that RPCA method achieves important success for Arabic Music Background separation from Voice of sing.
Propagation of lymphocystis disease virus (LCDV) in the FIN cell line originated from olive flounder Paralichthys olivaceus fin

The present study demonstrated lymphocystis disease virus (LCDV) propagation through cytopathic effects (CPE) formation and LCDV detection in olive flounder fin (FFN) cells by polymerase chain reaction (PCR) and fluorescent antibody technique (FAT) methods. Tissue filtrates from the cluster cells produced CPE in FFN cells, which initially cells became enlarged and gradually underwent fusion en masse. Infectivity of culture grown LCDV using the FFN cells reached 10 2.3 TCID50/ml at 4 days post infection and the highest titer was measured 10 6.5 TCID50/ml at 12 days. The viral DNA was detected in the cell culture supernatants showing CPE and the CPE cells by PCR. Antigen specific strong fluorescence reacting with monoclonal antibody against the virus revealed the presence of viral antigen in the cytoplasm of infected FFN cells. These results suggest that the FFN cell line originated from the olive flounder has a susceptibility of the LCDV.
Mycobization with Glomus mosseae and Aspergillus niger in Lycopersicon esculentum plants

The effect of mycobization with both an arbuscular mycorrhizal fungus, Glomus mosseae, and a phosphorus-solubilizing microorganism, Aspergillus niger, was evaluated on tomato plants grown on steamed perlite-vermiculite-sand substrate added either with or without rock phosphate in six greenhouse treatments. Plant aerial biomass, phosphorus concentration in plant tissue, and P available in the substrate were evaluated upon 60-day-old harvested plants. Mycorrhizal colonization was positive in all treatments inoculated with Glomus mosseae, although, lower infection values were found as P content in the substrate increased. A high phosphorus content was observed in plants from the treatments with added phosphoric rock; these levels were independent of the microbial inoculation. The highest values of aerial biomass and height of the plant were seen in the treatments co-inoculated with both microorganisms with or without phosphoric rock. This work confirms the synergic effects between mycorrhizal fungi and phosphorus solubilizing microorganisms. However, the results obtained cannot be extrapolated since each plant-soil-organism system deserves special analysis.
THE DEVELOPMENT OF A TURNOVER PREDICTIVE MODEL APPLICATED TO THE ESTATE SECTOR IN MOROCCO

We present in this paper a descriptive statistical analysis of a set of data using the method of Principal Component Analysis PCA. Then, we discuss the construction of a prediction model based on decision trees by CHAID method. Then, we move to the evaluation of our model and we discuss the trees optimization problem. Comparative experiments between fifteen trees showed that our model gives interesting predictive performance. Finally, we present concluding remarks about decision trees and we propose development prospects.
NURSERY LINER APPLICATIONS

Sensor‐guided application technologies are needed to achieve constant spray deposition for the rapid growth of nursery liner trees during a growing season. An experimental real‐time variable‐rate sprayer was developed to adjust spray outputs automatically based on the liner canopy size. The developed sprayer consisted of two vertical booms, an ultrasonic sensor detecting system coupled with a spray flow rate controlled unit, a microcontroller, and a spray delivery system. Two booms were integrated with five opposing pairs of equally spaced spray nozzles. The sensors were mounted 0.35 m ahead of the spray nozzles to ensure sufficient time for signal processing. The accuracy of the sprayer in triggering spray against detected targets moving at 3.2 km h‐1 was evaluated by use of a high‐speed camera. An outdoor laboratory plot consisting of six different‐sized tree species was used to test the sprayer performance consistency. Test results revealed that the spray nozzles were triggered from 4.5 to 12.5 cm ahead of detected targets. Seventy‐five percent of test runs for detecting canopy volume of the six tree species produced significant (p < 0.05) Pearson correlation coefficients from 0.43 to 0.88 when the sprayer travel speed was from 3.2 to 6.4 km h‐1. While the sprayer applied variable output rates from 0 to 20.4 L min‐1 at travel speeds from 3.2 to 8.0 km h‐1, the mean spray coverage inside canopies of six tree species was 12.0% to 14.7% and the mean spray deposit was 0.72 to 0.90 μL cm‐2. Effects of travel speed on both mean spray deposit and coverage were insignificant. Therefore, the newly developed sprayer offered a possibility to achieve uniform spray deposition and coverage for nursery liner applications despite variations in liner canopy size and sprayer travel speed.
A Lung Transcriptomic Analysis for Exploring Host Response in COVID-19

Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) rose without precedent for Wuhan, China, in December 2019. It is a kind of exceptionally pathogenic human coronavirus (HCoV) which causes zoonotic sicknesses and represents a significant risk to general wellbeing. Recognizing the hidden biology and pathogenesis of this novel coronavirus is extremely critical to comprehend as well as boosting the treatment of this deadly pandemic. The point of this study is to recognize key genes which show significant expression in the SARS-CoV-2 infected lungs as compared to healthy ones. Our analysis uncovered 149 gene-signatures that show substantial up-regulation in COVID-19 lungs. Out of these, top ten dysregulated genes STAP1, CASP5, FDCSP, CARD17, ST20, AKR1B10, CLC, KCNJ2-AS1, RNASE2 and FLG are found to be significant based on various crucial statistical factors and may end up being acceptable helpful drug targets.
A VIABLE SYSTEM MODEL FOR MANAGEMENT OF THE ECONOMIC GROWTH

In this paper we present a Viable System Model (VSM) approach in the field of economics with the purpose of bettering the understanding of this macroeconomic phenomenon. This paper contributes with the design of an VSM in economic science. Economic growth has been modelled to test main inputs that explain it, and to understand its behaviour. Most countries seek to increase economic growth because other economic variables improve, for example, the number of jobs increases, wages increase, or poverty decreases. The investigation first reviews the state-of-the-art, secondly it explains the methodology and the process followed, and finally it presents results. An alternative model to manage and understand economic growth is obtained. The results contribute to the economic growth theory.
Abstract—A micro-assembly station based on a micro- robot, under an optical microscope, is one of the typical styles

A micro-assembly station based on a microrobot, under an optical microscope, is one of the typical styles to practical application of the task of assembling simple micro parts, even if they are still almost at the start phase. The demand for the manufacture of micro components is increasing because many products are slim due to their portable use. A new production system is an interesting time in micro-assembly systems. The performance of the micro-robotic system has the potential to have an important role in such applications with reference to the transportation, handling and storage of micro objects. For that, has developed an automated system consisting of multiple drilling micro-robots. In this paper, with the aid of the control of "cluster" type for more micro-robots may deduct an execution of an application by drilling into the work area. This control “cluster” type may provide some advantages having in view the accuracy and flexibility of micro fabrication. This study is a continuous our work in micro-robots domain, here one developed the automatic control drilling from electronic and informatics point of view. Keywords— Actuator, Drill, Micro-controller, Micro-robot.
Structure of host‐odour plumes influences catch of Anopheles gambiae s.s. and Aedes aegypti in a dual‐choice olfactometer

The effects of structure, concentration and composition of host‐odour plumes on catch of female Anopheles gambiae Giles sensu stricto and Aedes aegypti (L.) (Diptera: Culicidae) were investigated in a dual‐choice olfactometer. We demonstrate that the fine‐scale structure of host‐odour plumes modulates capture of An. gambiae and Ae. aegypti. In both species homogeneous skin‐odour plumes result in trap entry, whereas homogeneous CO2 plumes reduce trap catch. Reduced trap catch also result from combining skin odour with a homogeneous CO2 plume. Trap capture rates in homogeneous CO2 plumes were concentration‐dependent and differed between the two species. Electric nets placed in front of the trap entrances intercepted mosquitoes before they could enter the traps. This showed that An. gambiae flew along CO2 plumes, but did not enter the traps. Survivorship analysis of the trap‐entry times of Ae. aegypti indicated interactions between the time until capture and treatment. The assay's duration therefore can alter the distribution in a dual‐choice olfactometer.
Riverine invertebrate assemblages are degraded more by catchment urbanisation than by riparian deforestation

SUMMARY 1. Restoration of riparian forests has been promoted as a means of mitigating urban impacts on stream ecosystems. However, conventional urban stormwater drainage may diminish the beneficial effect of riparian forests. 2. The relative effects of riparian deforestation and catchment urbanisation on stream ecosystems have rarely been discriminated because urban land use and riparian degradation usually covary. However, land use at three scales (channel canopy cover along a 100-m site, riparian forest cover within 200 m of the channel for 1 km upstream, and catchment imperviousness) covaried only weakly along the lowland Yarra River, Victoria, Australia. 3. We tested the extent to which each land use measure explained macroinvertebrate assemblage composition on woody debris and in the sediments of pools or runs in the mainstem Yarra River in autumn and spring 1998. 4. Assemblage composition in both habitats and in both seasons was most strongly correlated with proportion of catchment covered by impervious surfaces. Sites with higher imperviousness had fewer sensitive taxa (those having a strong positive influence on indicators of biological integrity) and more taxa typical of degraded urban streams. Sensitive taxa rarely occurred in sites with >4% total imperviousness. However, within sites of similar imperviousness, those with more riparian forest cover had more dipteran taxa. Channel canopy cover did not explain assemblage composition strongly. 5. Riparian forest cover may influence richness of some macroinvertebrate taxa, but catchment urbanisation probably has a stronger effect on sensitive taxa. In catchments with even a small amount of conventionally drained urban land, riparian revegetation is unlikely to have an effect on indicators of stream biological integrity. Reducing the impacts of catchment urbanisation through dispersed, low-impact drainage schemes is likely to be more effective.
Design and Implementation of a Model for Integrating Microsoft xRM with GIS

Relations management systems are capable of retaining a wide domain of information associated with the various aspects of a business sales and follow-up activities, keep all events that happen on daily basis, issue reports, track the staff performance of sale, and lastly keep the good relationship with the client. With the development of relations management solutions; there are some gaps which have appeared and adversely affected the performance of these kinds of solutions and their ability to assist in the decision-making in the right time and place. These solutions will fall to determine the geographical locations and extract the geographical information and metadata for specific goals. There is an urgent need to solve these problems and gaps by creating new ways based on the achievements and developments in the infrastructure of modern information technology and harness these ways to collect, enter, process, analyze, view, and extract the geographic information and metadata for specific goals then schedule them an appropriate format to be sent accordingly. The research paper provides a framework that can be used for integrating xRM (relations management systems) with integrated GIS systems. It is expected that the incorporation of this model would facilitate the process of information flow between these systems, resulting in fast decision-making techniques.
ENERGY EFFICIENT CLUSTERING PROTOCOL FOR COLLECTING DATA IN WIRELESS SENSOR NETWORK

Wireless Sensor Network (WSN) is used for collecting the information from the environment. WSN consists of a large number of Sensor Nodes (SN). Each Sensor Nodes in the network are connected by a wireless Channels. All the real time applications of Wireless Sensor Network (WSN) need energy. The nodes in the Wireless sensor networks are battery driven. There are some techniques such as clustering and data aggregation is used for energy efficiency. In the existing Energy Efficient Clustering to Enhanced Lifetime (EECPL) protocol, the reduction in the energy consumption is accomplished by performing data aggregation in the Cluster Members rather than Cluster Heads. Further, ring topology is adopted, in order to enable load balancing in the network. However, it is observed that the delay involved in data transmission is increased which makes it unsuitable for real-time application. In this paper, an Energy Efficient Clustering Protocol is proposed to reduce without compromising Network lifetime. The proposed protocol is compared with the existing EECPL protocol. The performance metrics considered for comparison are average end to end delay, the average energy consumption and network lifetime. NS2 simulation tool is used for the implementation. The proposed protocol outperforms the existing EECPL protocol.
Features, Challenges and Issues of Fog Computing: A Comprehensive Review

Fog computing is a promising technology that is used by many organizations and end-users. It has characteristics and advantages that offer services such as computing, storage, communication, and application services. It facilitates these services to end-users and allows to increase the number of devices that can connect to the network. In this paper, we provide a survey of Fog computing technology in terms of its architecture, features, advantages and disadvantages. We provide a comparison of this model with Cloud Computing, Mobile-Edge Computing, and Cloudlet Computing. We also present challenges and issues that face Fog Computing such as privacy and security, control and management, fog networking and task scheduling. Finally, we discuss aspects of Fog computing security and the benefits of integration between Fog computing and other techniques like Internet of Things and Cloud Computing.
Emergence without limits: The case of phonons Studies in History and Philosophy of Modern Physics

Recent discussions of emergence in physics have focussed on the use of limiting relations, and often particularly on singular or asymptotic limits. We discuss a putative example of emergence that does not ﬁ t into this narrative: the case of phonons. These quasi-particles have some claim to be emergent, not least because the way in which they relate to the underlying crystal is almost precisely analogous to the way in which quantum particles relate to the underlying quantum ﬁ eld theory. We offer an account of emergence which encompasses phonons, and argue both that emergence may thus be found in cases where the use of limits is not required, and that it provides a way of understanding cases that do involve limits.
ENHANCING ARABIC NAMED ENTITY RECOGNITION USING PARALLEL TECHNIQUES

Named entities recognition systems (Proper Names) are used in the development of many natural language processing applications. There is a paucity of published research in the field of identifying the named entities from texts written in Arabic. This is due to the fact that the Arabic language has a specificity regarding the complexity of spelling and morphology, which is an obstacle to the development of a technique to identify the names of the Arabic entities or the so-called Arabic Named Entity Recognition system (ANER). This paper presented the experiments conducted to identify the appropriate technique to design a robust and reliable system for identifying Arabic entities. For this purpose, this study focuses on the most common state-of-art in the field of identification of Arabic named entities, then a comparison was made between five of the most famous tools that interested in identifying the Arab entities, after that, integrated each of two tools together to get 10 different parallel techniques. The results of the comparison between the tools showed that Rosette achieved the best results followed by Madamira, while it was the worst performance results in the gate tool and for hybrid systems, the R-F (combining Rosette and Farasa) achieved the best performance with better accuracy than individual tools.
Gene Expression of Muscle-Specific Ubiquitin Ligase, Atrogin-1/MAFbx, Positively Correlates with Skeletal Muscle Proteolysis in Food-Deprived Broiler Chickens

A relationship between skeletal muscle proteolysis and mRNA expression of atrogin-1/MAFbx, a muscle-specific ubiquitin ligase, was examined in food-deprived broiler chickens. In response to food deprivation for 24 and 48h, body and muscle weights decreased in a time-dependent manner. Muscle free Nτ-methylhistidine content, an index of myofibrillar proteolysis, was 1.8-fold and 2.5-fold greater than that of fed controls following 24 and 48h of food deprivation, respectively. Gene expression of atrogin-1/MAFbx drastically increased in response to food deprivation in a time-dependent manner. At 48h of food deprivation, the induction of atrogin-1/MAFbx mRNA expression level elevated up to 20-fold greater than that of fed controls. By contrast, mRNA expression levels of 20S proteasome C1 and C2 subunits tended to decrease with time. No significant difference was seen in the change of ubiquitin mRNA expression. A highly significant linear negative relationship (r2=0.754, P<0.001) was found between atrogin-1/MAFbx expression and muscle mass, while a highly significant linear positive relationship (r2=0.784, P<0.001) was found between atrogin-1/MAFbx expression and muscle free Nτ-methylhistidine content. These results indicate that atrogin-1/MAFbx plays a critical role in the development of muscle proteolysis and its gene expression is a reliable index of muscle proteolysis in broiler chickens.
Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles

Recently, the automatic prediction of personality traits has received increasing attention and has emerged as a hot topic within the field of affective computing. In this work, we present a novel deep learning-based approach for automated personality detection from text. We leverage state of the art advances in natural language understanding, namely the BERT language model to extract contextualized word embeddings from textual data for automated author personality detection. Our primary goal is to develop a computationally efficient, high-performance personality prediction model which can be easily used by a large number of people without access to huge computation resources. Our extensive experiments with this ideology in mind, led us to develop a novel model which feeds contextualized embeddings along with psycholinguistic features toa Bagged-SVM classifier for personality trait prediction. Our model outperforms the previous state of the art by 1.04% and, at the same time is significantly more computationally efficient to train. We report our results on the famous gold standard Essays dataset for personality detection.
Chromosomes and the classification of the Commelinaceae

This account of chromosome variation in the Commelinaceae is based both on the authors' personal experience with a very large living collection of the family at Kew, and on the numerous reports of earlier workers. There can be few families showing such a wide range of chromosome numbers, karyotype morphology and meiotic behaviour, the description of which may be of interest to cytologists, evolutionists and taxonomists alike. In this present survey the information is presented within the framework of a tentative classification of genera proposed by Brenan, and comments are made throughout on the relevance of cytology to his taxonomic treatment of the family. It is hoped that this account will foster further interest in the Commelinaceae, and in particular, encourage more thorough appraisal of intraspecific chromosome variation and interspecific homologies.
Track Fusion Performance of Multi-Track Integration System with a Test Vessel

A vessel traffic service (VTS) system is a marine traffic monitor and control system established by public safety or security authorities in order to forestall a maritime accidents such ship collision and stranding. Hence the VTS system always collects target data containing location and velocity of vessels within its purview using multi sensors, mainly radars built in several areas and AIS transponders installed in vessels. However, the collected target data can be incorrect due to measurement errors, failure of sensors, bad weather conditions, and so on. In this manuscript, we propose a multi-track integration system (MTIS) which can generate a relatively correct track information via the fusions of the collected target data and then we prove that the MTIS provides more accurate track information than its original target data, through experiments using a test vessel. Key–Words: Track fusion, multi-track integration, position correction, fused track