Miracle-dz/UniFAR-FTUs huggingface dataset:
Bi-Secting K-Means Of Document Clustering For Forensic Analysis of Computer Inspection

In most recent couple of decade numerous analysts investigation is anticipated to break down the criminal with that of wrongdoing. It is seen that there is a lot of acceleration in the wrongdoing rate because of the crevice between the ideal use of investigation and advances. In view of this there are numerous new accommodation for the advancement of new strategy and procedures in the field of wrongdoing examination utilizing the strategies built up on information mining, criminological, picture change over, and social mining.The vital part of computerized face off regarding is to enhance the examination of criminal exercises that include assemble, to save, investigate, advanced gadgets and give mechanical and logical statement, and to give the vital approval to experts. To consequently assemble the get archives into a rundown of important classes diverse band procedures can be utilized. Report band includes descriptor and descriptors destruction. In this paper, displays a model utilizing new mode for assessment of report bunching of criminal database by utilizing bi-secting k-implies grouping approach. This model exhibit the criminal information basing on the sort wrongdoing. Fileterms: Clustering, far from being obviously true figuring, mining.
Insights into the mechanisms and timescales of pluton assembly from deformation patterns of mafic enclaves

[1] We propose a novel method to constrain both timescales and assembly styles of intrusive bodies using the strain recorded by mafic enclaves, a common component of granitic rocks. Petrology, thermal modeling, and magma rheology are combined to investigate the evolution of strain recorded by enclaves during the piecemeal assembly of a pluton growing at various rates of magma input. The different compositions (and hence phase relations) of host magma and enclaves limits homogeneous deformation of these two materials to restricted temperature ranges, which we term “windows of mutual deformability. ” Outside these windows only the less viscous host granite records any appreciable deformation and enclaves are mainly transported as rigid objects. The temporal and spatial development of the windows of mutual deformability reflects the emplacement rate of magmas into the pluton. Consequently, the radial distribution of strain recorded by enclaves can provide a picture of the thermal and rheological evolution of a magmatic body during its construction. Our approach is applied to deformation patterns of mafic enclaves in the Lago della Vacca Complex (LVC) of the Adamello Massif (Italy), to estimate the timescales of pluton emplacement. Our calculations suggest total emplacement timescales of the order 50 to 150 ky, in excellent agreement with recent high precision radiometric dating of zircons from the LVC.
Sound exposure and water supply modification effect towards the ross broilers growth rate

Previous research about the exposure of Mozart music and noise and the effects towards the feeding, growth rate and the stress level of the broilers were explored.Music has the ability to have a relaxing and antidepressant effect on humans, mammals and birds. Reports that music calms animals and improves productivity appear in commercial journals. The present study investigated the growth rate comparisons between the experimented broilers (Group A: water supply modification group; Group B: sound exposure group) and the control broilers (Group C: control group) in terms of weight and raw meat texture measured by shear force. The water supply modification group was given 12 litres of Yasin water twice per day while the sound exposure group were broadcasted with sound of Quran verses. Twenty-seven broilers were randomly selected from each group on Day 24 and weight measurement was carried out every week until the harvest day (Day 39). Group B showed a higher mean weight on Day 24 (1.441 ± 0.013 kg) than Group A and C. Significant difference in the weight on Day 39 existed for both Group A and B compared to Group C (p 0.05) difference of shear force in the same muscles (breast and drumstick raw meat) of the three groups but the shear force of the breast meat for Group A, B and C broilers was lower (p < 0.05) than that of their drumstick meat. Broadcasting the sound of the Quran verses in the coop and adding Yasin water to the broilers’ drink can be applied to improve the growth rate of broilers for producing better quality poultry.
Sentiment Analysis : an Application to Anadolu University

Social media is a Web 2.0 platform that allows to share content and information without the limitations of time and space. Social media networks have managed to become a part of today’s lifestyle and are increasingly gaining importance when viewed from a state perspective. Sentiment analysis refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. In this study, we focus on social media mining and sentiment analysis for students of an open and distance education system. Anadolu University which has approximately two million students and more than two million graduates, is a well-known institution in Turkey, that offers higher education through contemporary distance education model. Firstly, we have fetched Tweets related to Anadolu University open and distance education system. To perform sentiment analysis, these tweets were analysed by statistical and data mining techniques. Finally, results were visualized.
A Comparison between the Styles of Transformational Leaders and Authentic Leaders in Crisis Management

Crisis leadership research is important owing to the unpredictability, cost, duration and intensity of the crisis. Leaders all around the world struggle with the challenges of crisis (Prewitt & Weil, 2014), which demonstrates the undeniable fact that leadership and crisis are closely intertwined. Therefore, the reaction of the leader towards the crisis is of utmost importance. Crises, which are simply defined as “unexpected and unpredictable circumstances that threaten the key mechanisms of a firm” (Barton, 1994), are an indispensable part of the workplace. Hence, managing crises has become a key responsibility of business leaders of the 21st century. Although there are various modern and postmodern leadership styles, this paper focuses on the styles of transformational and authentic leaders during crises. Though there is plenty of research on crisis and leadership, few studies and books were found which shed light upon transformational and authentic leaders’ behaviour in crisis situations. This study attempts to make a theoretical analysis of how transformational and authentic leaders behave during a crisis and make some inferences based on research on leadership styles and crisis leadership.
Numerical investigations of the Schwinger model and selected quantum spin models

Numerical investigations of the XY model, the Heisenberg model and the J-J' Heisenberg model are conducted, using the exact diagonalisation, the numerical renormalisation and the density matrix renormalisation group approach. The low-lying energy levels are obtained and finite size scaling is performed to estimate the bulk limit values. The results are found to be consistent with the exact values. The DMRG results are found to be most promising. The Schwinger model is also studied using the exact diagonalisation and the strong coupling expansion. The massless, the massive model and the model with a background electric field are explored. Ground state energy, scalar and vector particle masses and order parameters are examined. The achieved values are observed to be consistent with previous results and theoretical predictions. Path to the future studies is outlined.
Distribution of early‐arriving saproxylic beetles on standing dead Scots pine trees

1 The community composition of early‐arriving saproxylic beetles on 80 standing and recently deceased Scots pine trees (Pinus sylvestris L.) was examined. 2 In total, 34 species of saproxylic beetles were found, comprising at least four well‐defined groups of species identified by correspondence analysis. 3 Bark thickness, trunk/branch diameter and height above ground significantly affected community composition, with bark thickness being the most important factor. 4 Overall, 13.7% of the variance in species composition was explained by section of the tree that was sampled, a variable that encompasses the three aforementioned parameters.
Switching linear parameter-varying electronic throttle control for automotive engines

Modern automotive engines are mechanically mature technologies that have been significantly optimized to reduce harmful emissions, reduce fuel consumption, and improve driveablilty. Spark-ignition (SI) engines must operate under a stoichiometric air-to-fuel ratio that allows the three-way catalytic converter to effectively mitigate harmful tail-pipe emissions. Electronic throttle control (ETC) is the primary means of regulating the amount of charge-air entering the cylinders. This research studies the application of switching linear parameter-varying (LPV) feedback control techniques to the ETC problem. Electronic throttle valves are highly nonlinear systems due to their packaging, cost, and reliability constraints. The plant’s dynamics vary considerably with respect to slip-stick friction, limp-home springs, and unmodeled disturbances. The complete plant model encapsulates the aforementioned nonlinear dynamics as a linear model that changes affinely with parametervarying slip-stick friction and voltage fluctuation. The ETC synthesis problem is formulated as a linear matrix inequality as a non-convex optimization problem and solved via iterative methods. In previous literature pertaining to LPV controllers, large variations throughout the electronic throttle valve’s operating region have led to conservative results. In this research, to reduce conservatism, the operating region has been partitioned into smaller subregions. Switching events between subregions are based on the scheduling-parameters of the LPV system, which are related to slip-stick friction and voltage fluctuation. The devised switching LPV controller is tuned and validated and its performance is experimentally compared with popular control solutions to the ETC problem. The baseline controllers include classic proportional-integral-
Barley Amylose and β-Glucan: Their Relationships to Protein, Agronomic Traits, and Environmental Factors

Amylose and β-glucan are important components of barley (Hordeum vulgare L.) grain. Factors such as seed yield, test weight, seed plumpness, protein content, fi eld location, and seasonal variation may have an effect on β-glucan and amylose concentrations, and therefore, require additional study. Twenty-seven barley cultivars and advanced lines with varying levels of β-glucan (4–9%) and amylose (6–27%) were grown in 2004 and 2005 in replicated plots at three locations in Idaho to evaluate agronomic traits and genotype × environment interactions. Seed yield, test weight, percentage of plump kernels, β-glucan percentage, amylose/amylopectin ratio, and protein percentage were measured for seed samples from all plots. Estimates of variance components showed that about 49% of the variability in β-glucan concentration and about 48% in amylose starch levels can be attributed to year, location, year × location, and their interactions with genotype. Amylose was found to be negatively correlated with protein and β-glucan content but was positively, though weakly, correlated with seed yield and test weight; β-glucan was positively correlated with protein and percentage plump kernels but showed a weak negative correlation with seed yield. A. Hang, D. Obert. and C.S. Burton, USDA-ARS, Small Grains and Potato Germplasm Research Unit, 1691 S. 2700 W. , Aberdeen, ID 83210; and A.I.N. Gironella, Mathematics Dep. , Idaho State Univ., Pocatello, ID 83209. Mention of trade names or commercial products in this article is solely for the purpose of providing specifi c information and does not imply recommendation or endorsement by the USDA. Received 27 June
Beneficial effects of artichoke on liver phosphatidate phosphohydrolase and plasma lipids in rats fed by lipogenic diet

Artichoke ( Cynara scolymus L.) is full of natural antioxidants and has a lipid-lowering effect. The aim of this study was to investigate the effect of artichoke on the liver phosphatidate phosphohydrolase, plasma lipid levels, plasma malondialdehyde, and plasma antioxidant in rats fed by lipogenic diet. Male rats were fed by standard pellet diet (group I), standard diet supplemented with 10% artichoke (group II), lipogenic diet (containing sunflower oil, cholesterol and ethanol) plus 10% artichoke (group III) and only lipogenic diet (group IV). On day 60 of the experiment, liver phosphatidate phosphohydrolase activity, liver triglyceride, plasma lipids, plasma malondialdehyde, and plasma antioxidant levels were measured. Phosphatidate phosphohydrolase activity, liver triglyceride, the ratio of total cholesterol to high density lipoprotein cholesterol, plasma total cholesterol and triglyceride levels were significantly decreased due to artichoke treatment in groups II and III compared to groups I and IV, respectively. Significant reduction in plasma malondialdehyde and significant elevation in plasma antioxidant power observed in groups II and III compared to groups I and IV, respectively. The results clearly indicated that artichoke can be useful for the reduction of phosphatidate phosphohydrolase activity and liver triglyceride. Also, artichoke has beneficial effects in the controlling of hyperlipidemia, abnormalities in lipid profiles and oxidative stress in hyperlipidemic regimes.
Pleistocene phylogeography of tiger beetle, Calomera littoralis, in North-Eastern Mediterranean and Pontic regions inferred from mitochondrial COI gene sequence

Background. Calomera littoralis is a Palearctic species, widely distributed in Europe; inhabiting predominantly its Atlantic, Mediterranean and Black Sea coastlines. Methods. Its phylogeography on the Balkan Peninsula and on the north-western Black Sea coast was inferred using a 697 bp long portion of the mitochondrial COI gene, amplified from 169 individuals collected on 43 localities. Results. The results revealed two genetically divergent groups/lineages, the southern one inhabiting both the Balkan Peninsula and the Pontic Region and the northern one found exclusively in the Pontic Region. Species delimitation based on DNA barcoding gap suggested an interspecific level of divergence between these groups. Multivariate analysis of eight male and female morphometric traits detected no difference between the groups, implying they may represent cryptic species. The Bayesian time-calibrated reconstruction of phylogeny suggested that the lineages diverged ca. 2.3 Ma, in early Pleistocene. Abstract 17 Background. Calomera littoralis is a Palearctic species, widely distributed in Europe; 18 inhabiting predominantly its Atlantic, Mediterranean and Black Sea coastlines. 19 Methods. Its phylogeography on the Balkan Peninsula and on the north-western Black Sea 20 coast was inferred using a 697 bp long portion of the mitochondrial COI gene, amplified from 21 169 individuals collected on 43 localities. 22 Results. The results revealed two genetically divergent groups/lineages, the southern one 23 inhabiting both the Balkan Peninsula and the Pontic Region and the northern one found 24 exclusively in the Pontic Region. Species delimitation based on DNA barcoding gap 25 suggested an interspecific level of divergence between these groups. Multivariate analysis of 26 eight male and female morphometric traits detected no difference between the groups, 27 implying they may represent cryptic species. The Bayesian time-calibrated reconstruction of 28 phylogeny suggested that the lineages diverged ca. 2.3 Ma, in early Pleistocene. 29 Discussion. This might result from contemporary Pontic basin 30 . and reveals secondary contact of the divergent in Bayesian time-calibrated reconstruction of phylogeny shows that split between these begun in early coincides with beginning of recurrent glaciations
DETERMINATION OF INDONESIAN NATIVE STINGLESS BEE PROPOLIS AS COMPLEMENTARY NUTRACEUTICAL CANDIDATE OF ANTI-TUBERCULOSIS DRUG

Objective: This study aimed to determine Indonesian native stingless bee propolis from ten provinces of Indonesia as complementary nutraceutical candidate of anti-tuberculosis drug (ATD). Methods: Propolis samples were collected from stingless bee cultivated in ten provinces of Indonesia. The antioxidant capacity test was performed using 2,2-diphenyl-1-picrylhydrazyl and toxicity test was done using Brine Shrimp Lethality Test . The inhibition test of M ycobacterium tuberculosis ( Mt b ) was performed using Lowenstein-J e nsen medium and bacterial colonies were estimated using Most Probable Number . Results: The highest antioxidant capacity was found in G eniotrigona incisa (G. incisa) propolis from South Sulawesi Province with an IC 50 of 100.05 ppm, while the lowest antioxidant capacity was found in T etragonula m inangkabau propolis from North Sumatera Province with an IC 50 of 1378.90 ppm. The lowest propolis toxicity was found in G eniotrigona thorasica propolis from South Kalimantan Province with an LC 50 of >1000.00, while the highest propolis toxicity was found in T etragonula laeviceps ( T. laeviceps ) propolis from Banten Province with an LC 50 of<50.00. T . l aeviceps propolis from Banten Province had the lowest Mtb inhibition, with the inhibition value of 1.59%. On the other hand, the highest inhibition was shown by T etragonula biroi propolis from South Sulawesi Province and T etragonula f uscobalteata propolis from West Nusa Tenggara Province with 100% inhibition value (equivalent to rifampicin ). Conclusion: Based on all determinant parameters, G . incisa propolis from South Sulawesi Province has the highest score, and it is defined as complementary nutraceutical candidate of ATD.
DESIGNING OF PROPORTIONAL SLIDING MODE CONTROLLER FOR LINEAR ONE STAGE INVERTED PENDULUM

The control of Inverted Pendulum (IP) is a hugely complex task. A great deal of nonlinearity is present inherently and as well as affected by the surrounding external conditions. The sliding mode controller (SMC) is very robust inherently. It is used in this paper to control the IP. This paper examines the designing of sliding mode controller (SMC) for a linear inverted pendulum (IP). The paper highlights the important features of the sliding mode and also throws ample lights on the designing guidelines. The paper puts special impetus on the mathematical modeling of the controller. The robustness of the design of SMC with proportional control is amply displayed with the help of simple mathematics. It gives rise to a controller which can control a highly nonlinear system like IP quite efficiently. The performance of the SMC is compared with fuzzy and PID controller. The edge this controller poses is the key aspect of this paper. External disturbances and internal inaccuracies are also introduced to the system to bring out the robustness of the controller to the fore. Background on sliding mode and the pendulum are provided. Simulation results are displayed in a vivid manner and explained suitably.
Whole Cell Protein Profiling of Human Pathogenic Bacteria Isolated from Clinical Samples

The present investigation deals with the protein profiling of clinical pathogens isolated from clinical samples. For the purpose, four different bacteria were isolated from the clinical samples and biochemically characterized. The 16S rRNA sequence analysis revealed the isolated bacteria were Escherichia coli, Staphylococcus epidermidis, Bacillus subtilis and Klebsiella pneumonia. The bacteria were cultured in liquid medium and the protein profile of the bacteria was investigated through ultra-sonication followed by Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis (SDS-PAGE) analysis. The results revealed that the unique protein bands observed in the bacteria at defined size can act as biomarker for the identification and differentiation of the bacteria from the other species.
Determinants of Financial Management Practices: A Conceptual Study

The purpose of this study is to investigate various factors (uncertainty, corporate social disclosure and stakeholder) that impact the selection of financial management practices. Further, this study attempts to explore the impact of financial management practices and earnings management on firm performance. In order to achieve the objective, a conceptual model has been developed based on previous theories and empirical literature. The findings of the study would be quite beneficial for capital providers – lenders and shareholders – who would like to use their funds for financial practices. On the other hand, capital providers will be hesitant to provide capital to those firms which do not use appropriate financial practices and have poor transparency.
Assimilation of MODIS Dark Target and Deep Blue Observations in the Dust Aerosol Component of NMMB-MONARCH version 1.0

Abstract. A data assimilation capability has been built for the NMMB-MONARCH chemical weather prediction system, with a focus on mineral dust, a prominent type of aerosol. An ensemble-based Kalman filter technique (namely the local ensemble transform Kalman filter – LETKF) has been utilized to optimally combine model background and satellite retrievals. Our implementation of the ensemble is based on known uncertainties in the physical parametrizations of the dust emission scheme. Experiments showed that MODIS AOD retrievals using the Dark Target algorithm can help NMMB-MONARCH to better characterize atmospheric dust. This is particularly true for the analysis of the dust outflow in the Sahel region and over the African Atlantic coast. The assimilation of MODIS AOD retrievals based on the Deep Blue algorithm has a further positive impact in the analysis downwind from the strongest dust sources of the Sahara and in the Arabian Peninsula. An analysis-initialized forecast performs better (lower forecast error and higher correlation with observations) than a standard forecast, with the exception of underestimating dust in the long-range Atlantic transport and degradation of the temporal evolution of dust in some regions after day 1. Particularly relevant is the improved forecast over the Sahara throughout the forecast range thanks to the assimilation of Deep Blue retrievals over areas not easily covered by other observational datasets. The present study on mineral dust is a first step towards data assimilation with a complete aerosol prediction system that includes multiple aerosol species.
Innovational Outliers in INAR(1) Models

We consider integer-valued autoregressive models of order one contaminated with innovational outliers. Assuming that the time points of the outliers are known but their sizes are unknown, we prove that Conditional Least Squares (CLS) estimators of the offspring and innovation means are strongly consistent. In contrast, CLS estimators of the outliers' sizes are not strongly consistent. We also prove that the joint CLS estimator of the offspring and innovation means is asymptotically normal. Conditionally on the values of the process at time points preceding the outliers' occurrences, the joint CLS estimator of the sizes of the outliers is asymptotically normal.