Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ZONES OF TURBULENCE IN THE RUSSIAN AUDIT MARKET

The situation that arose on the Russian auditing market became the subject of analysis of this publication. Long-term monitoring of the processes of audit services that arose on the Russian market allowed the authors to determine and critically comprehend the cause-effect relationships of the existing crisis phenomena and errors in the regulation of audit activities. The purpose of the research was to identify the features and patterns development of the Russian audit market, clarifying and systematizing the main crisis zones of regulatory legal regulation of audit activities in Russia. Results: The authors presented detailed analysis of the development and the state of the Russian audit market, the main factors under which it developed and its main problems.
Statistical Analysis of Processing Data for a Manufacturing Industry (A Case Study of Stephens Bread Industry)

The research work was based on the statistical analysis of the data using statistical tools. The use of nonparametric test was used to extract information from the data. However, the reliability test was used to show how reliable the data is for analysis or modeling. Furthermore, the missing value tests were also used to observe whether the data is a complete or incomplete data. The essence of the statistical analysis is to communicate with the data and to understand the situations that this data portray.
U.S. landowner behavior, land use and land cover changes, and climate change mitigation.

Landowner behavior is a major determinant of land use and land cover changes. an important consideration for policy analysts concerned with global change. Study of landowner behavior aids in designing more effective incentives for inducing land use and land cover changes to help mitigate climate change by reducing net greenhouse gas emissions. Afforestation, deforestation, reforestation, and timber harvest are the most frequent land management practices that influence forest carbon stocks and flux. Research studies provide estimates of how private landowners respond to market signals and government programs and how they alter land management.
Analyzing the Role of Mutual Communications in Project Management through Agent-based Simulation

Papernumber: 001 (Assigned by Journal editor) Title of Paper : Analyzing the Role of Mutual Communications in Project Management through Agent-Based Simulation Name of Author(s) : Masao Watabe, Takao Terano Address, Email : 8-6, Kasuya-3, Setagaya-ku, Tokyo, Japan 157-0063 : mrwatabe@ruby.plala. or.jp Text of abstract This paper proposes an agent-based simulation model to analyze the roles of mutual communications among members of project teams. The objective of the research is to uncover the characteristics communication efficiency in large scale and shorter delivery projects. They have reported that making the delivery period of a project shorter often causes cost-over-run and/or schedule-delay. However, few results have been quantitatively investigated. In order to explore the better communication ways in project management, we have employed agent-based simulation models, in which we implement a manager-leaders group as communication agents based on Axelrod’s tag model. From intensive experiments, we have following major conclusions: 1) The project productivity is proportional with the efficiency of mutual communications among team members. 2) The larger the scale of a project becomes, the less efficient the communication becomes. 3) Making a delivery period of larger projects shorter is difficult comparing with the one of smaller projects. 4) To make the better communication, it will be effective to inform many issues at once. Such tactics is more effective in a large scale and short term project than in a small scale and/or long term project. 5) In any size of projects, it is effective to take enough time for communication. Once a meeting is held in a project, participants should exchange information each other until the end of discussion for all issues they have.
An ancient F-type subdwarf from the halo crossing the Galactic plane

AIMS: We selected the bluest object, WISE~J0725$-$2351, from Luhman's new high proper motion (HPM) survey based on observations with the Wide-field Infrared Survey Explorer (WISE) for spectroscopic follow-up observations. Our aim was to unravel the nature of this relatively bright ($V$$\sim$12, $J$$\sim$11) HPM star ($\mu$$=$267\,mas/yr). METHODS: We obtained low- and medium-resolution spectra with the European Southern Observatory (ESO) New Technology Telescope (NTT)/EFOSC2 and Very Large Telescope (VLT)/XSHOOTER instruments, investigated the radial velocity and performed a quantitative spectral analysis that allowed us to determine physical parameters. The fit of the spectral energy distribution based on the available photometry to low-metallicity model spectra and the similarity of our target to a metal-poor benchmark star (HD~84937) allowed us to estimate the distance and space velocity. RESULTS: As in the case of HD~84937, we classified WISE~J0725$-$2351 as sdF5: or a metal-poor turnoff star with $[Fe/H]$$=$$-$2.0$\pm$0.2, $T_{eff}$$=$6250$\pm$100\,K, $\log{g}$$=$4.0$\pm$0.2, and a possible age of about 12\,Gyr. At an estimated distance of more than 400\,pc, its proper motion translates to a tangential velocity of more than 500\,km/s. Together with its constant (on timescales of hours, days, and months) and large radial velocity (about $+$240\,km/s), the resulting Galactic restframe velocity is about 460\,km/s, implying a bound retrograde orbit for this extreme halo object that currently crosses the Galactic plane at high speed.
Credit card fraud detection using Naïve Bayes model based and KNN classifier

Machine Learning is the technology, in which algorithms which are capable of learning from previous cases and past experiences are designed. It is implemented using various algorithms which reiterate over the same data repeatedly to analyze the pattern of data. The techniques of data mining are no far behind and are widely used to extract data from large databases to discover some patterns making decisions. This paper presents the Naive Bayes improved K-Nearest Neighbor method (NBKNN) for Fraud Detection of Credit Card. Experimental results illustrate that both classifiers work differently for the same dataset. The purpose is to enhance the accuracy and enhance the flexibility of the algorithm.
Unsupervised change detection in satellite images using fuzzy c-means clustering and principal component analysis

Abstract. Change detection analyze means that according to observations made in different times, the process of defining the change detection occurring in nature or in the state of any objects or the ability of defining the quantity of temporal effects by using multitemporal data sets. There are lots of change detection techniques met in literature. It is possible to group these techniques under two main topics as supervised and unsupervised change detection. In this study, the aim is to define the land cover changes occurring in specific area of Kayseri with unsupervised change detection techniques by using Landsat satellite images belonging to different years which are obtained by the technique of remote sensing. While that process is being made, image differencing method is going to be applied to the images by following the procedure of image enhancement. After that, the method of Principal Component Analysis is going to be applied to the difference image obtained. To determine the areas that have and don’t have changes, the image is grouped as two parts by Fuzzy C-Means Clustering method. For achieving these processes, firstly the process of image to image registration is completed. As a result of this, the images are being referred to each other. After that, gray scale difference image obtained is partitioned into 3 × 3 nonoverlapping blocks. With the method of principal component analysis, eigenvector space is gained and from here, principal components are reached. Finally, feature vector space consisting principal component is partitioned into two clusters using Fuzzy C-Means Clustering and after that change detection process has been done.
Cell wall localization of the aspartic proteinase from buckwheat (FeAPL1) over-expressed in tobacco BY-2 cells

The recombinant aspartic proteinase-like protein (FeAPL1-His6) was overexpressed in the tobacco BY-2 cell line and the expected pepstatin A-sensitive enzymatic activity was confirmed at pH 3.0. Immunocytochemistry and protein gel blot analysis of the transformed BY-2 cells and their protoplasts showed extra- cellular localization of rFeAPL1-His6 in the cell wall. Based on the obtained re- sults, potential functions of FeAPL1 are discussed.
Genetic control of sensory neuron diversification

ABSTRACT The somatosensory system of vertebrates transmits information from external and internal environment s to the brain. This information relates to various modalities such as touch, temperature, itch and pain. The different modalities require a variety of subtypes of sensory neurons, tuned to detect and transmit specific stimuli. Each of these subtypes expresses a specific set of proteins to serve th is highly specialized function and to control the cell type specific gene expression . This thesis explores the development and diversity of sensory neuronal subtypes in the dorsal root ganglion (DRG) of the mouse . In the five studies included in this thes is, we have investigated the roles of several genes in the development and function of sensory neurons. In Paper I, the focus is on a transcription factor, Cux2. We described that its expression is limited to large, early born neurons , which are mainly mec hanosensitive , including a lineage of poorly characterized large TrkA
Long Run Relationship between Macroeconomic Indicators and Stock Price: The Case of South Africa

This paper examines the long-term equilibrium between South Africa’s stock index and selected macroeconomic variables using vector error-correction models (VECM). Upon testing for co-integration, long run structural equation modelling (LRSM) and VECM, the results indicate that industrial production is the most important determinant of stock market prices. This suggests that South Africa’s stock market is highly sensitive to the country’s industrial production. Money supply, inflation, and exchange rates are other determinants of South Africa’s stock index but to a lesser extent than industrial production. The study found that the macroeconomic variables comprising industrial production, inflation, money supply, and exchange rate are co-integrated on the long run with stock market prices. These findings have implications for policy makers in the sense that any changes in the macroeconomic policy should take into consideration the impact of such changes on the stock market.
Virgin almond oil: Extraction methods and composition ; Aceite de almendra virgen: Métodos de extracción y composición

J.M. Roncero, M. Álvarez-Ortí, A. Pardo-Giménez, R. Gómez, A. Rabadán and J.E. Pardo* Escuela Técnica Superior de Ingenieros Agrónomos y de Montes, Universidad de Castilla-La Mancha. Campus Universitario s/n, 02071 Albacete, Spain. Centro de Investigación, Experimentación y Servicios del Champiñón. C/ Peñicas s/n, Apdo. 63, 16220 Quintanar del Rey, Cuenca, Spain. Corresponding author: jose.pgonzalez@uclm.es
Incorporating Biodiversity Into Rangeland Health: Plant Species Richness and Diversity in Great Plains Grasslands

Abstract Indicators of rangeland health generally do not include a measure of biodiversity. Increasing attention to maintaining biodiversity in rangelands suggests that this omission should be reconsidered, and plant species richness and diversity are two metrics that may be useful and appropriate. Ideally, their response to a variety of anthropogenic and natural drivers in the ecosystem of interest would be clearly understood, thereby providing a means to diagnose the cause of decline in an ecosystem. Conceptual ecological models based on ecological principles and hypotheses provide a framework for this understanding, but these models must be supported by empirical evidence if they are to be used for decision making. To that end, we synthesize results from published studies regarding the responses of plant species richness and diversity to drivers that are of management concern in Great Plains grasslands, one of North America's most imperiled ecosystems. In the published literature, moderate grazing generally has a positive effect on these metrics in tallgrass prairie and a neutral to negative effect in shortgrass prairie. The largest published effects on richness and diversity were caused by moderate grazing in tallgrass prairies and nitrogen fertilization in shortgrass prairies. Although weather is often cited as the reason for considerable annual fluctuations in richness and diversity, little information about the responses of these metrics to weather is available. Responses of the two metrics often diverged, reflecting differences in their sensitivity to different types of changes in the plant community. Although sufficient information has not yet been published for these metrics to meet all the criteria of a good indicator in Great Plains Grasslands, augmenting current methods of evaluating rangeland health with a measure of plant species richness would reduce these shortcomings and provide information critical to managing for biodiversity.
DETECTION OF TOXOPLASMA PARASITEMIA BY PCR: DOES IT CORRELATE WITH IGG AND IGM ANTIBODY TITERS?

Background: Toxoplasmosis is a zoonotic disease with high seroprevalence worldwide. Several immunological methods have been described for diagnosis of toxoplasmosis. Objective: To determine the parasitemia period in patients infected with toxoplasma using PCR and comparing serological data with molecular results. Methods: 154 serum samples from patients with toxoplasmosis were examined. Presence of parasite DNA was evaluated using PCR method. IgG and IgM antibody titers were measured using IFA test. Results: Of 154 studied samples, 28 were positive for IgM and 60 were positive for IgG with titers higher than 1/400. PCR was performed on those samples having either IgG or IgM titers. Samples with IgM titers lower than 1/800 and higher than 1/3200 had no detectable level of parasite DNA. Parasitemia was detected in cases with IgG titer of 1/100 to 1/200. All samples with no detectable IgM and with IgG titers higher than 1/400 were negative when tested by PCR. Conclusion: IgM specific antibody titer between 1/800 and1/3200 represents a window opportunity in treatment of patients with toxoplasmosis. Absence of parasite DNA in patients with higher IgM antibody titer is explained by the effector mechanism of antibody for clearance of the parasite.
Examining the Essence of Performance Appraisal to Zoomlion Ghana Limited in Tamale

This study examined the essence of performance appraisal to Zoomlion Ghana Limited in Tamale Metropolis. A quantitative approach was adopted and both descriptive and inferential statistical tools were used in analysis of data. The research sought to examine the essence of PA to Zoomlion Ghana Limited, a waste management company in Tamale Metropolis. Also, challenges associated with the PA system were also research on. A sample of 100 respondents were research on and a questionnaire was used to collect data from the respondents. It was found that PA results is a means of determining the employees’ remuneration; discover employees’ strength and weaknesses; achieve relevant feedback for monitoring. The PA systems challenges were identified as; appraise bias towards appraises; transfer of sentiments by the appraisers; variations in appraises results; and appraisers becoming too generous or too critical. The company can use meetings, regular for a as means of communicating the essence of PA in the organization. Appraisers also need be made to undergo refresher courses to enhance their capacities and also get them imbued with best practices in PA.
Identification and Classification of Three Iranian Rice Varieties in Mixed Bulks Using Image Processing and MLP Neural Network

Abstract Due to variation in economic value of different varieties of rice, reports indicating the possibility of mixing different varieties on the market. Applying machine vision techniques to classify rice varieties is a method which can increase the accuracy of classification process in real applications. In this study, several morphological and textural features of rice seeds’ images were examined to evaluate their efficacy in identification of three Iranian rice varieties (Tarom, Fajr, Shiroodi) in their mixed samples. On the whole, 666 images of rice seeds (222 images of each variety) were acquired at a stable illumination condition and totally, 17 morphological and 41 textural features were extracted from seeds images. Principal component analysis (PCA) method was employed to select and rank the most significant features for the classification. Subsequently, the MLP neural network classifier was employed for classification of rice varieties in the mixed bulks of three and two varieties, using top selected features. The network was three-layered feed forward type and trained using two training algorithms (BB and BDLRF). The classification accuracy of 55.93, 84.62 and 82.86 % for Fajr, Tarom and Shiroodi, 86.96 and 93.02 % for Fajr and Shiroodi, 86.84 and 96.08 % for Tarom and Shiroodi and 91.49 and 95.24 % for Fajr and Tarom were obtained in test phase, respectively.
Arbuscular mycorrhizal fungi (Glomeromycota) associated with roots of Ammophila arenaria growing in maritime dunes of Bornholm (Denmark)

155 rhizosphere soil and root mixtures were collected from under Ammophila arenaria colonizing maritime dunes of the island Bornholm (Denmark) to determine arbuscular mycorrhizal fungi (AMF) of the phylum Glomeromycota co-existing with this plant. In the laboratory, each mixture was divided into two parts. One part was used to establish a pot culture with Plantago lanceolata as the host plant to initiate sporulation of fungi that had not produced spores in field conditions. In the second part, the numerical and species composition of the spore populations of AMF sporulating in the field was determined. Spores of AMF were found in 70 field-collected samples and 134 trap cultures. They represented 26 species and six undescribed morphotypes in six genera of the Glomeromycota. Of them, 20 species and three morphotypes in five genera occurred in the field, and 16 species and three morphotypes in five genera were found in trap cultures. The fungi most frequently revealed were members of the genus Glomus ; a total of 17 species and six morphotypes of this genus were recognized. Considering the occurrence of spores in both field samples and trap cultures, the fungi most frequently co-occurring with roots of A. arenaria growing in the dunes of Bornholm were G. irregulare (present in 73.6% of samples), followed by Scutellospora dipurpurescens (19.4%) and Archaeospora trappei (10.3%). However, Glomus irregulare mainly sporulated in trap cultures; spores of this fungus were found in only 0.6% of field samples. Other relatively frequently found species were G. aggregatum (9.0%), G. eburneum (7.1%), Paraglomus laccatum (5.2%), and S. armeniaca (6.5%). The species most abundantly sporulating in the field were G. aggregatum (produced 28.36% of all spores isolated), G. badium (11.00%), and S. dipurpurescens (21.55%).
Manejo de cambios en la calidad de las fuentes en sistemas de integración de datos

Data Integration Systems (DIS) integrate information from a set of heterogeneous and autonomous Information Sources and provide this information to a set of User Views. We consider a system where quality properties are taken into account. At the sources there are actual values of the quality properties and at the integrated system there are expected values of these properties. In this kind of system, regarding the possible large quantity of sources and their autonomy, a new problem arises: the changes in the quality of sources. Actual values of the source elements can change very frequently and in a non-predictable manner. We are interested in the consequences that source quality changes may have on the system quality, and even on the DIS schema and information processing. We analyze these consequences basing on the different possibilities for managing the source schema changes. We also study two quality properties in particular; freshness and accuracy, and we define strategies for managing source changes in these properties.
Transglycosidases and Fungal Cell Wall β-(1,3)-Glucan Branching

Fungal cells are endowed with a cell wall that plays a crucial role in the fungal life, by providing mechanical strength and protecting fungal cells from their environment. Chemically, this fungal cell wall consists of different polysaccharides, contributing to 80-95% of the cell wall dry mass. The core cell wall structure is made up of β-(1,6)-branched β-(1,3)- glucan linked to chitin, and is common to all fungal species. Branching leads to β-(1,3)-glucan ramificating, facilitating its cross-linking with chitin as well as other cell wall components resulting in the construction of a functional fungal cell wall. Recently, using Saccharomyces cerevsiae as the model, we showed that the dual activity associated with CAZy family GH72 transglycosidases (http://www.cazy.org/) belonging to the GAS-family, are capable of elongating as well as branching β-(1,3)-glucan, an essential phenomenon during cell wall biogenesis and remodeling. Not only GAS-proteins, but also GEL-family protein from Aspergillus fumigatus (a pathogenic fungus) showed β-(1,3)- glucan elongating-branching activity. Interestingly, this dual activity was shown by only those GH72 family members containing a Carbohydrate Binding Motif-43 (CBM), suggesting that branching activity is universal in the fungal kingdom. Disruption of β-(1,3)-glucan branching resulted either in a sick-phenotype or led to inviability, suggesting that β-(1,3)-glucan branching is an essential phenomenon during fungal cell wall biogenesis. In this commentary, future perspectives on our findings are presented.
Laboratory and production testing of novel resistance spot welding electrodes.

The performance of two novel resistance spot welding electrodes was evaluated through the General Motors WS-5A laboratory test and production trials in an automotive assembly plant. The novel electrodes featured enhanced cooling properties such as a reduced face thickness and internal fins. The potential for a multiple-oxide dispersion strengthened copper electrode material is revealed given its performance in both the laboratory and production testing. For the production trials, extended electrode life and lower current levels were achieved compared to the baseline electrode. The results suggest that the optimum face thickness for electrode cooling is greater than 6 mm for a cooling-water flow rate of 0.5 gpm. The results also indicate that increased cooling-water flow rate is more beneficial for electrodes with cooling properties that enhance convective heat transfer. A methodology is presented for developing weld schedules in production operations.
KEYLOGGING: The Enhanced Attack Resistant Visual Authentication System

Key logging or keyboard catching is the activity of duplicate (or logging) the keys hit on a keyboard, regularly private with the goal that the particular using the keyboard is apathetic that their doings are being watched. It comparably has astoundingly solid uses in request of human computer collaboration. We indicate how wary representation outline can propel the security and in addition the reasonableness of validation. We propose two visual validation conventions: one is a one-time-secret word convention, and the other is a watchword based confirmation convention. Our approach for genuine scheme: we had the limit accomplish a peculiar condition of convenience while fulfilling thorough security necessities.