Miracle-dz/UniFAR-FTUs huggingface dataset:
Content based Image Retrieval System for Diagnosis of Brain Tumor

Accurate diagnosis is important for treatment of any disease. Content based medical image retrieval (CBMIR) can assist radiologist in diagnosis by retrieving similar images from medical image database. Here we proposed CBMIR for brain tumor. Magnetic Resonance imaging is most commonly used for imaging the brain tumor. During the image acquisition there can be misalignment of MR images due to movement of patient and also low level semantics from MR image may not corresponds with high level semantics of brain tumor, for this two level CBMIR system used, which first classifies (using SVM and ANN) query image of brain tumor as cancerous and non-cancerous tumor using global feature (circularity, irregularity and texture feature) and then search for most similar images with identified class using local feature. This experiment has been performed on 94 brain MR images and result of classification is compare with precision rate, accuracy and recall rate.
Psychrotrophic bacteria isolated from -20°C freezer

Three psychrotrophic bacteria, morpho-physiologically, identified as Bacillus subtilis MRLBA7, Bacillus licheniformis MRLBA8 and Bacillus megaterium MRLBA9 were isolated from -20°C freezer of the Microbiology Research Laboratory (MRL), Quaid-i-Azam University, Islamabad, Pakistan. These strains were able to grow aerobically at 6°C but not at 40°C except MRLBA8 that could grow at 48°C. None of the isolates showed inhibition of growth in the presence of glycerol. Isolate MRLBA7, bearing central spore, grew in the presence of 30% glycerol at 0°C after 48 h of incubation and showed maximum growth without glycerol at 25°C after 24 h. Isolate MRLBA8 showed growth in the presence of 50% glycerol at 4°C after 72 h of incubation and maximum growth was observed at 20°C in the absence of glycerol. Isolate MRLBA9 showed growth at 6°C in the presence of 40% glycerol after 48 h of incubation and maximum growth was observed at 25°C in the absence of glycerol. Isolates were susceptible to antibiotics except Bacillus subtilis MRLBA7 that exhibited antibiotic resistance against penicillin and fosphomycin, Bacillus licheniformis MRLBA8 against aztreonam and fosphomycin, and Bacillus megaterium MRLBA9 against vancomycin and penicillin. The growth profile and biochemical characteristics of all the isolates were rather similar to that of mesophilic counterparts except adaptation to low temperature. These strains could be used as model microbial strains for characterization of food contaminants in freezers, to understand the mechanism of antibiotic resistance induced at low temperature and as a source of psychrotrophic enzymes.
Local Hölder exponent analysis of aeroengine dynamics

This paper describes the application of the local Holder exponent which can measure sensitive features associated with nonstationary and nonlinearity. By investigating in detail the structure and the main properties of the local Holder function, a fault diagnosis technology is developed on the basis of error function. The study is conducted for both engines of two Boeing 737 commercial aircrafts as a measure the regularity of aeroengine time series. In order to accurately detect the impending aeroengine faults, the Holder exponent estimation is performed for comparative analysis of the aeroengine records. Using this analysis, the difference between left and right engine is obvious when one of the engines is fracture failure.
Metadata of the chapter that will be visualized online

Brain-computer interface (BCI) and virtual reality (VR) are natural companions. BCI provides a new interaction technique for controlling VR, and VR provides a rich feedback environment for BCI while retaining a controlled and safe environment. The combination of VR and BCI allows for providing participants with novel experiences that are impossible otherwise. Both fields still pose many technological challenges to scientists and engineers, but both are making rapid progress. VR and BCI have been combined in multiple ways: BCI can be used for navigation in VR, for controlling a virtual body, and for controlling the virtual world directly. More recent directions explore the possibilities of using BCI for purposes other than control in VR, such as designing and implementing VR systems that adapt to the participant’s cognitive and emotional state.
Cyclicity and extremal polynomials in Dirichlet spaces of the disk and bidisk

Motivated by the theory of non commutative stochastic distributions, we introduce algebras which are inductive limits of Banach spaces and carry inequalities which are counterparts of the inequality for the norm in a Banach algebra. We then define an associated Wiener algebra, and prove the corresponding version of the well-known Wiener theorem. Finally, we consider factorization theory in these algebra, and in particular, in the associated Wiener algebra. The talk is based on joint work with Guy Salomon.
An Efficient characterization of Gait for Human Identification

In this work, a simple characterization of human gait, which can be used for surveillance purpose, is presented. Different measures, like leg rise from ground (LRFG), the angles created between the legs with the centroid (ABLC), the distances between the control points and centroid (DBCC) have been taken as different features. In this method, the corner points from the edge of the object in the image have been considered. Out of several corner points thus extracted, a set of eleven significant points, termed as control points, that effectively and rightly characterize the gait pattern, have been selected. The boundary of the object has been considered and using control points on the boundary the centroid of those has been found out. Statistical approach has been used for recognition of individuals based on the n feature vectors, each of size 23(collected from LRFG, ABLCs, and DBCCs) for each video frame, where n is the number of video frames in each gait cycles. It has been found that recognition result of our approach is encouraging with compared to other recent methods.
Evaluation of the thermo-mechanical and explosive properties of bimodal and hybrid polymer bonded explosive (PBX) compositions based on HNS and HMX

In the present paper, a series of bimodal PBX compositions containing coarse (90 μm) and fine (<1 μm) HNS (2,2’4,4’6,6’-hexanitrostilbene) and hybrid PBX compositions based on HNS and HMX (1,3,5,7-tetranitro-1,3,5,7tetraazacyclooctane) in varying mass ratios, along with the fluoropolymer Viton-A, a vinylidene fluoride and hexafluoropropylene copolymer, as a binder (5%), have been prepared on the lab scale. In order to observe any effect of incorporating fine HNS particles with coarse ones and the effect of replacing HNS with HMX in all types of bimodal and hybrid PBX compositions, the samples were characterized for composition analysis, thermal behavior and morphological analysis as well as evaluated for their mechanical and explosive properties including sensitiveness tests and detonic properties. The data showed that incorporation of fine HNS into coarse particles of HNS in the bimodal PBX resulted in an increase in mechanical strength and a decrease in friction and impact sensitivity, as well as an enhanced performance compared to PBXs based on coarse HNS alone. Viton-A based hybrid PBX compositions provided better mechanical and sensitivity properties as compared to conventional explosive compositions based exclusively on HMX or HNS and the performance of the PBX compositions increased with increasing
AN OVERVIEW ON DATA MODELS FOR KNOWLEDGE DISCOVERY FROM DATABASES

In the process of data mining, the first step is to build models so that more time is allocated to the mining project. In this chapter, some of the algorithms and models used for analysis and data mining have been studied. Most models are varieties of search algorithms in computer science and statistical literature while they are used for a particular implementation.
Zeolite-Based Optical Detectors

The detection of chemical species is a common and required task in several areas of technology. Currently, measurements in dedicated labs are the predominant tools for detection and characterization of chemicals and materials. Although these techniques are available in specialized equipment, their use is often bounded by cost of application or the operator's expertise. Also, in many applications rather than an analysis of all the detectable chemical species, it is only of interest to determine the presence of a particular chemical compound, and if it is present, to quantify its concentration. For these reasons, alternative methods for detecting specific chemical species are required. One case of such methods are the optical chemical sensors, particularly the ones based on the materials known as zeolites. In a broad sense, these sensors are constituted by an optical detector that is modified with zeolites. This combination allows the detection of specific chemical compounds if the zeolitic materials is properly modified to have an optical response for the analyte.
Robust load–frequency regulation: A real‐time laboratory experiment

This paper addresses a new method for robust decentralized design of proportional‐integral‐based load–frequency control (LFC) with communication delays. In the proposed methodology, the LFC problem is reduced to a static output feedback control synthesis for a multiple delays power system, and then the control parameters are easily carried out using robust H∞ control technique. To demonstrate the efficiency of the proposed control strategy, an experimental study has been performed on the Analog Power System Simulator at the Research Laboratory of the Kyushu Electric Power Co. in Japan. Copyright © 2007 John Wiley & Sons, Ltd.
Improvements in Diabetic Patients ’ Outcomes in a Clinical Decision Support System

The number of people with diabetes mellitus has rapidly increased worldwide. The World Health Organization reported that an estimated 422 million adults worldwide were living with diabetes in 2014 [1]. In Japan, the number of patients with diabetes has increased from 2.70 million in 2011 to 3.17 million in 2014, according to a patient survey by the Ministry of Health, Labour and Welfare [2]. Abstract
Molecular Markers Associated with Soybean Plant Height, Lodging, and Maturity across Locations

The identification of quantitative trait loci (QTL) has the potential to improve the efficiency of selection for polygenic traits in a plant breeding program. In this study a soybean, Glycine max (L.) Merr. , population derived from the cross of 'Young' and PI 416937 was evaluated with restriction fragment length polymorphism (RFLP) markers to identifiy QTL related to plant height, lodging, and maturity. One hundred-twenty F 4 -derived lines were evaluated for segregation at 155 RFLP loci. Field data were obtained in four different locations in 1994 (Athens and Plains, GA, and Windblow and Plymouth, NC). The genetic map consisted of 137 RFLP loci which converged into 31 linkage groups and covered more than 1600 centimorgan (cM). By means of single-factor analysis of variance, 11 independent markers associated with plant height and the eight with lodging explained most of the genetic variability for these traits in combined analysis over locations. Of the 11 RFLP markers associated with plant height and the eight with lodging, only two markers for plant height (Blt043 and A063a) and one for lodging (A169) were detected in all locations, indicating either the inconsistency of these molecular markers across locations or the inability to detect putative QTL with the population size of 120 lines. However, good agreement of QTL across locations was found for maturity. Five markers were identified that explained variation in mean maturity over three locations, four of which were associated with maturity in all three locations. Results from this research indicate the level of consistency of QTL across environments is trait specific.
The key characteristics of multicultural festivals: A critical review of the literature

While multicultural festivals have become a significant feature of multicultural societies, offering a distinct and valuable experience for visitors, few studies have considered their role in contemporary social settings. This article outlines the key characteristics of multicultural festivals by drawing upon literature from a range of disciplines to clearly conceptualize their role. The article concludes that such festivals play a particularly significant role engendering multiculturalism in outwardly diverse social contexts. It contributes, in turn, to further comprehension of the importance of such festivals in contemporary social contexts characterized by growing ethnic diversity.
Toward Understanding Causes of Anomaly in Dynamic Restaurant Rating

Rating score and text review are the most common features provided in online review systems to gather the opinions shared by users. Product rating distributions usually evolve dynamically over time and potentially accompany with some unusual changes, namely anomalies, which might be caused by product quality change or spamming attacks. In this preliminary study, we analyze the time-series of rating score distributions by using the data collected from Yelp restaurants, and we apply Principal Component Analysis (PCA) to detect anomalous time points. Through manually checking the corresponding review texts, we further investigate the underlying reasons leading to anomalous rating scores. The potential reasons we identified include food/service quality change, user preference, and review spam. Our study is envisioned to help business owners respond timely to unusual feedbacks and manage their business more efficiently.
Stokes flow past a particle of arbitrary shape: a numerical method of solution

The problem of determining the slow viscous flow of an unbounded fluid past a single solid particle is formulated exactly as a system of linear integral equations of the first kind for a distribution of Stokeslets over the particle surface. The unknown density of Stokeslets is identical with the surface-stress force and can be obtained numerically by reducing the integral equations to a system of linear algebraic equations. This appears to be an efficient way of determining solutions for several external flows past a particle, since it requires that the matrix of the algebraic system be inverted only once for a given particle. The technique was tested successfully against the analytic solutions for spheroids in uniform and simple shear flows, and was then applied to two problems involving the motion of finite circular cylinders: (i) a cylinder translating parallel to its axis, for which the local stress force distribution and the drag were determined; and (ii) the equivalent axis ratio of a freely suspended cylinder, which was calculated by determining the couple on a stationary cylinder placed symmetrically in two different simple shear flows. The numerical results were found to be consistent with the asymptotic analysis of Cox (1970, 1971) and in excellent agreement with the experiments of Anczurowski & Mason (1968), but not with those of Harris & Pittman (1975).
World Corruption Perception Index Analysis

Although corruption is measured and defined by different institutions yet there is no agreement on one perfect definition. In this study attempt to analyze the results of corruption index using the definition and the index of Transparency International and the standard deviation of the scores of its corruption perception index. The study investigates the behavior of the index over time for all countries included in the CPI for the period of 2000-2014. Using a Hierarchical Classification Method, we grouped the countries into high, medium and low corrupt countries and then we investigate the volatility of perception of corruption among the same group and the different groups. We find that countries with low and high CPI are less volatile in terms of perception of corruption while countries with medium score are relatively stable in term of perception of corruption. Keywords: Corruption, Hierarchical Classification Method, Corruption Perception Index
Cubic Copper Hexacyanoferrates Nanoparticles: Facile Template-Free Deposition and Electrocatalytic Sensing Towards Hydrazine

Cubic copper hexacyanoferrate (CuHCF) nanoparticles prepared via electrolytic deposition are presented with their morphology and crystalline structure characterized with SEM and XRD. The advantage of this methodology is that it allows the fabrication of uniform cubic nanoparticles with permeable structures onto the desired underlying electrode substrate. It was observed that the CuHCF film acts as a permeable membrane for cations such as K
Three level hierarchical Bayesian estimation in conjoint process

The conjoint process is the process which is based on some latent variables and the experts opinion is the crucial information in the estimation of unknown parameters. That is why the excellent technique applied in the conjoint process is Bayesian analysis including hierarchical Bayesian models. In the paper, the three level Bayesian model is proposed to estimate the parameters of product and consequently to choose the best product profile. The final estimation is executed with MCMC methods.
A MODEL TO OBTAIN A SERVPERF SCALE EVALUATION OF THE CRM CUSTOMER COMPLAINTS: AN APPLICATION TO THE 4G TELECOMMUNICATIONS SECTOR

The relationship between customer churn and their complaints is sufficiently contrasted in the telecom sector. Therefore, a key part of a company’s strategy is the measurement of this dissatisfaction. It is important to conduct periodic surveys on complaints in a standard form like the SERVPERF scale because it enables the organization to benchmark. Many of these complaints are stored in the company’s CRM. Our first aim is to define a model to transform CRM customer complaints, expressed in natural language, into SERVPERF scales. In the proposed model, we use the 2-tuple model, which allows computing this linguistic data without losing information. Our second purpose is to implement a prototype to apply the model in a 4G Company. As a practical conclusion, most complaints in this emerging technology (which still has some deficiencies) are related to technical aspects of the services rather than to staff.
Surface microseismic imaging in the presence of high-velocity lithologic layers

Surface microseismic monitoring above regions containing high-velocity units will be influenced by a reduction in the effective array aperture and contain significant seismic coda due to an increase in reflected and converted wave energy, which can influence the capability of surface arrays to image microseismic events. We have examined the imaging difficulties due to the reduction of the effective array aperture and increased coda within microseismic data caused by the presence of a fast anhydrite layer. We have generated and used finite-difference, full-waveform microseismic synthetics derived from 1D sonic log data taken from an unconventional shale reservoir in complex anhydrite geology. Two imaging techniques are used to locate the synthetic microseismic events. We use a simplistic and easily reproducible standard diffraction imaging procedure and a more sophisticated technique, Moment Tensor Microseismic Imaging™ (MTMI™). We have confirmed that the presence of high-velocity layers, such as anhydrite, reduce the overall aperture of a surface array, which result in poor resolution of imaged events and reduction in the accuracy of event locations. More importantly, we have determined that the coda in the microseismic data can isolate itself from the direct arrival, stacked into the final imaging result, and it can be misinterpreted as separate events located directly below the true source location, which is unavoidable given the ambiguity between event location and time. Comparison of the two imaging procedures found that even though the more sophisticated MTMI was able to better cope with the effects caused by high-velocity layers, it still demonstrated a significant reduction in resolution of imaged events, a reduction in accuracy, and evidence of multiple and converted energy still present in the final imaging result.
Breakage Function for HPGR: Mineral and Mechanical Characterization of Tantalum and Tungsten Ores

The modelling of high pressure grinding rolls is described by the population balance model, a mass balance which includes several functions that are related to the mineral characteristics, material kinetics and operative conditions of the device. The breakage distribution function is one of these functions and refers to the way in which the daughter particles are generated by the process of comminution. The piston-die press is presented as a methodology to determine the breakage distribution function of two different materials, from the mechanical response point of view: altered granite and a cal-silicate material. The aim is to determine the relation between the operative conditions and the mineral characteristics in order to explain and predict the breakage function parameters. The materials were characterised using XRD and single compression strength tests. The altered granite is a brittle material, which generates more fines under single compression conditions compared to bed compression conditions, mainly due to the mineral composition and the response of the material to the breakage action. The cal-silicate material shows a normal trend in its breakage behaviour. As is expected, the mineralogical characterisation is a useful tool to predict the values of the parameters of the breakage distribution function.
Test-day model for genetic analysis of udder health traits: somatic cell score and clinical mastitis

Genetic associations between test-day (TD) somatic cell score (SCS) and two clinical mastitis (CM) traits (CM1: -7 to 30 and CM2: 31 to 300 DIM) were estimated using a random regression model (RRM) that combines information from two different data models. Multi-trait random regression models (mt-RRM) were then developed for the genetic evaluation of mastitis. Data from 1.65 million first-lactation Finnish Ayrshire cows were used. Heritabilities of CM1 and CM2 were 0.026 and 0.016, respectively, while for TD SCS they ranged from 0.06 to 0.11. During first lactation, genetic correlations between TD SCS and CM1 and between TD SCS and CM2 varied from 0.40 to 0.77 and from 0.34 to 0.71, respectively. In genetic evaluation of mastitis, the comparison between mt-RRM and multi-trait lactation average models (mt-LAM) showed that mt-RRM is better than mt-LAM and has added advantages of making efficient use of available TD SCS information and offers proofs for bulls and cows.