Miracle-dz/UniFAR-FTUs huggingface dataset:
Arabic Text Categorization Using Classification Rule Mining

Text categorization is one of the known problems in classification data mining. It aims to mapping text documents into one or more predefined class or category based on its contents of keywords. This problem has recently attracted many scholars in the data mining and machine learning communities since the numbers of online documents that hold useful information for decision makers, are numerous. However, the majority of the research works conducted on text categorization is mainly related to English corpuses and little works have focused on Arabic text collections. Thus, this paper investigates the problem of Arabic text categorization using different rule-based classification approaches in data mining. Precisely, this research works attempts to evaluate the performance of different classification approaches that produce simple “If-Then” knowledge in order to decide the most applicable one to Arabic text classification problem. The rule-based classification algorithms that the paper investigates are: One Rule, rule induction (RIPPER), decision trees (C4.5), and hybrid (PART). The results indicate that the hybrid approach of PART achieved better performance that the rest of the algorithms.
Gaze Tracking Algorithm using Neural Network

In this paper, an efficient methodology of tracking eye gaze by using neural network is proposed. Using eye features which relate to the movement of the eyes as inputs, a neural network is built to recognize the gazing point that a participant is looking at on the screen. With the final results of 91.25% sensitivity and 81.97% specificity on the data set from 6 participants, it is established that the proposed method can successfully track eye gazing.
Investigation on Mobile Radio Propagation Channel Models based on Measurement Data

In this paper, the mobile radio propagation channel models, obtained from software simulation and real world measurements in a multiple-input multiple-output (MIMO) system of an urban scenario (Ilmenau City) have been investigated. Our interest consists of proving the validity of the simulation model obtained, comparing the different approaches. For the comparison, the PIROPA (Parallel Implemented Ray Optical Propagation Algorithm) software and the WINNER II (Wireless world INitiative NEw Radio II) channel model have been used. The mathematical background used is the double-directional radio channel based on the on-site data. The special importance of this approach is, that not only the pathloss of the link is considered, but also the angle of departure and angle of arrival into the transmitter and receiver, are taken into account, respectively.
Price Volatility , Information Flows , and the Norwegian Experience : Managing Expectations in Globalized Oil and Gas Markets

2 Price Volatility, Information Flows, and the Norwegian Experience: Managing Expectations in Globalized Oil and Gas Markets . 3 Oil and Gas Price Volatility . 3 Global Markets, Local Debates . 4 How Energy Information Flows Influence Policy and Livelihoods . 15 The Norwegian Experience . 18 Lessons for Other States with Surplus Oil/Gas Incomes . 22 Forward Research . 30 References . 32
Performance analysis of electric motor drives for electric and hybrid electric vehicle applications

The authors' recent study has revealed that high speed motors capable of performing extended constant power operation are best suited for electric and hybrid vehicle application. In that study, they showed that vehicle's operational constraints such as initial acceleration and gradability can be met with minimum power rating if the powertrain can be operated mostly in constant power region. The purpose of this paper is to make a performance analysis of several of the most commonly used motors based on those findings. In this study, the induction motor is found to be best suited for vehicle application. Permanent magnet (PM) motors, owing to their restrictive speed range, are found to be not as suitable for vehicle applications. On the other hand, switched reluctance motors (SRM), despite their poor power factor of operation, may be proven to be superior to both of these motors, both in size and cost. An attempt has also been made to define the standards for some of the vehicle motor design parameters such as motor rated speed, motor maximum speed and extent of constant power operation.
Safety Reliability And Human Factors In Robotic Systems

Thank you for downloading safety reliability and human factors in robotic systems. Maybe you have knowledge that, people have search hundreds times for their favorite novels like this safety reliability and human factors in robotic systems, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some harmful bugs inside their computer.
Motor Variability but Functional Specificity : The Case of a C 4 Tetraplegic Mouth

This study examined the movement coordination in an exceptional tetraplegic individual who has practiced Japanese calligraphy with a mouth-held brush for over 25 years to reach master level. In the experiment, the calligrapher wrote the same Chinese character on a sheet of ink paper multiple times. The uncontrolled manifold analysis revealed the forms of covariation among joint degrees of freedom so as to keep the brush pressure, brush angle, and upright head posture invariant over different realizations of the task while allowing for joint configuration fluctuations that do not affect these task variables. The fact that the 3 task variables were simultaneously controlled further suggested that the acquisition of the skill was not only a matter of learning to control each of the task variables but also a matter of learning to nest different layers of activities that control the multiple functional relationships to the environment in such a way as not to be dysfunctional for one layer to another.
A 97 , 023612 ( 2018 ) Artificial magnetic-field quenches in synthetic dimensions

Recent cold atom experiments have realized models where each hyperfine state at an optical lattice site can be regarded as a separate site in a synthetic dimension. In such synthetic ribbon configurations, manipulation of the transitions between the hyperfine levels provide direct control of the hopping in the synthetic dimension. This effect was used to simulate a magnetic field through the ribbon. Precise control over the hopping matrix elements in the synthetic dimension makes it possible to change this artificial magnetic field much faster than the time scales associated with atomic motion in the lattice. In this paper, we consider such a magnetic-flux quench scenario in synthetic dimensions. Sudden changes have not been considered for real magnetic fields as such changes in a conducting system would result in large induced currents. Hence we first study the difference between a time varying real magnetic field and an artificial magnetic field using a minimal six-site model. This minimal model clearly shows the connection between gauge dependence and the lack of on-site induced scalar potential terms. We then investigate the dynamics of a wave packet in an infinite twoor three-leg ladder following a flux quench and find that the gauge choice has a dramatic effect on the packet dynamics. Specifically, a wave packet splits into a number of smaller packets moving with different velocities. Both the weights and the number of packets depend on the implemented gauge. If an initial packet, prepared under zero flux in an n-leg ladder, is quenched to Hamiltonian with a vector potential parallel to the ladder, it splits into at most n smaller wave packets. The same initial wave packet splits into up to n2 packets if the vector potential is implemented to be along the rungs. Even a trivial difference in the gauge choice such as the addition of a constant to the vector potential produces observable effects. We also calculate the packet weights for arbitrary initial and final fluxes. Finally, we show that edge states in a thick ribbon are robust under the quench only when the same gap supports an edge state for the final Hamiltonian.
Chapter 2 The CLL Cell Microenvironment

Cross talk between CLL cells and accessory stromal cells in specialized tissue microenvironments, such as the secondary lymphoid organs, favors CLL progression by promoting malignant B cell growth and drug resistance. Disrupting the cross talk between CLL cells and their milieu is an attractive, novel strategy for treating CLL patients. This chapter summarizes current knowledge about cellular and molecular interactions between CLL cells and their supportive tissue microenvironment and the therapeutic targets that are emerging, focusing on the CXCR4–CXCL12 axis and small molecule inhibitors that are targeting the B cell receptor-associated kinases SYK, BTK, and PI3Kδ. Clinically relevant aspects of these new therapeutics will be discussed, along with an outlook into future biologically oriented therapeutic strategies. The rapid progress in dissecting the CLL microenvironment and the promising early results of these new targeted treatments in CLL indicate that CLL has become a role model for microenvironmentdependent cancers.
Build a large scale Chinese Functional Chunk Bank

In this paper, we firstly introduce some essential issues in the construction of a chunk bank with 2,000,000 Chinese characters, including functional chunk annotation schema, tagging specification and processing procedure. Then, we analyze the main difference of our annotation schema with CONLL-2000 shared chunking task, and propose some further theoretical thoughts of the current annotation schema and some application tentative based on the current chunk bank.
Measurement and Estimation of 3 D Orientation using Magnetic and Inertial Sensors

Magnetic and inertial sensors are becoming increasingly popular to measure three-dimensional (3D) orientation, because they are well suited to the ambulatory monitoring of posture and movements of subjects. This paper presents a complete implementation of the measurement and estimation of 3D orientation based on a magnetic and inertial measurement unit (MIMU) that we developed. The measurement unit was a combination of a 3D accelerometer, a 3D gyroscope, and a 3D magnetometer. A Kalman lter-based sensor fusion algorithm was proposed to implement the measurements and 3D orientation estimates. The accuracy of the orientation estimation, calculated by a sensor fusion algorithm, was assessed by comparison with a laboratory-bound optical measurement system. Several simulation experiments were executed to evaluate the performance of the measurement unit under various states, including static, periodically rotational, arbitrarily dynamic, and vibration states. Experimental results showed accurate and drift-free orientation estimates. The averaged root-mean-square errors (RMSE) of the roll, pitch, and yaw Euler angles in static state were ≤0.6°. The averaged RMSE of the three angles in dynamic state or in dynamic tests at different angular velocities were ≤2.1°, regardless of periodic rotations and arbitrary motions.
The Structure-Phenomenological Concept of Brain-Consciousness Correlation 1

Based on a short presentation of the unexplained relation of brain and consciousness, the mereological fallacy is addressed as a main point of criticism on typical, especially materialistic attempts of solution. Facing the risk of an unreflected mixing of different descriptive levels, purified phenomenologies of brain and consciousness have to be elaborated. Comparing the analytical results, not only incommensurable aspects but also superordinated structure factors can be shown which allow us to formulate a first featurebased relation. Because this interim result does not disclose any evidence for a neurally based constitution of consciousness, an investigation of the structure-phenomenology of Herbert Witzenmann is embarked on as an intrinsic approach to consciousness research. Spurred on by cognitive borderline situations, this approach is motivated and elucidated referring to its method and outcome. Following its path, it becomes possible to interpret certain findings of neuroscience and systematic self-observation in the sense of cross-border effects and to establish a trans-categorical correlation in the context of logical constitution. This innovative concept of correlations is illustrated by aspects of rhythmicity, topology and plasticity. The attempt to position structure-phenomenology between monism and dualism leads to a dynamic integration of this polarity. Implications for human constitution and philosophy are sketched shortly. Finally, an outlook is given on possible projects of trans-disciplinary research. 1. Characterization of the Problem For the mind-brain problem different names and terms have been found in history. It is not only an expert topic in the world of the sciences but also pervades – more implicitly rather than explicitly – many forms of human culture, for instance as ideas of mankind or lifestyle philosophies. An artistic expression of this problem is illustrated by a painting of Milan Kunc which is significantly called “Peace of Mind” (Fig. 1). In this picture, obviously brain and consciousness of a human being are placed in relation 1This article gives a condensed version of Wagemann (2010a). A more accurate synopsis of this work has been published by Wagemann (2010b, 2011a).
P o S ( T e x a s 2 0 1 0 ) 1 4 4 Supernova remants as cosmic ray factories

In this work we investigate particle acceleration in supern ova remnant shocks within a semianalytical formalism which self-consistently accounts fo r particle acceleration, amplification of the magnetic field via streaming instability and back-react ion of both accelerated particles and magnetic turbulence on the shock dynamics. In particular, w e study the interplay between particle injection and magnetic field amplification, showing how a phenomenological but reasonable saturation of the standard streaming instability may lead t o quite steep spectra for the accelerated particles. We comment on the implications that such a scenar io may have on the comprehension of the diffuse spectrum of Galactic cosmic rays and of gammaray observations of single SNRs.
mpact of canine overweight and obesity on health-related quality of ife

Canine obesity is increasing in prevalence in the UK and raises concerns about dog welfare. This study compares the health-related quality of life (HRQL) of dogs of varying body condition: overweight and obese (BCS 4 and 5) versus non-overweight dogs (BCS 2 and 3), obese (BCS 5) versus non-overweight (BCS 2 and 3) and an overall comparison between all four BCS (BCS 2, 3, 4 and 5) using a novel, validated HRQL instrument which is both web and mobile tablet/phone app based. Of 271 dog owners who were approached, 174 completed a web-based instrument (2013) or a mobile tablet app instrument (2014) during the summers of 2013 and 2014. Automatically generated scores in four domains of HRQL (energetic/enthusiastic, happy/content, active/comfortable, calm/relaxed) were compared for dogs with each of the body condition scores (BCS 2–5). For all body condition scores a statistically significant difference was found between the HRQL scores in two of the domains: energetic/enthusiastic (p = 0.02) and active comfortable (p = 0.004). When BCS 2 and 3 were compared to BCS 4 and 5, statistical significance was found in the same two domains – energetic/enthusiastic (p = 0.01) and active comfortable (p = 0.001) – as it was in comparison of non-overweight (BCS 2 and 3) compared to obese dogs (BCS 5): energetic/enthusiastic (p = 0.012) and active comfortable (p = 0.004). These results suggest that overweight and obese dogs have a reduced HRQL in two of the domains compared to non-overweight dogs, and that differences in HRQL are detectable between BCS scores 2, 3, 4 and 5. © 2016 Elsevier B.V. All rights reserved.
Accumulating visual information for action 4

In this chapter, we discuss the way in which visual information is gathered and try to relate this to the task at hand. It is well established that people direct their gaze toward the places at which they expect to be able to gather the most useful information. Studies of gaze during goaldirected actions show that people also make sure to gather information precisely at the moment that they need it. We argue that the eye movements that people make during interception tasks and the precision that people achieve in such tasks suggest that people constantly update their estimates of the details that are needed to successfully hit the target. The updating predominantly consists of replacing the previously acquired information, rather than of adding to such
linical significance of left ventricular apical aneurysms in ypertrophic cardiomyopathy patients : The role of diagnostic

Objectives: Some patients with hypertrophic cardiomyopathy (HCM) develop left ventricular apical aneurysm, leading to serious cardiovascular complications. The aims of this study were to identify the incidence and clinical course of HCM patients with apical aneurysms in Japan, and to evaluate the role of electrocardiography (ECG) as a screening test to detect apical aneurysms in HCM patients. Methods and results: In a retrospective, single center analysis of a population of 247 HCM patients, 21 patients (8.5%) had left ventricular apical aneurysms. Their mean age was 60 ± 14 years (range: 23–77 years) at study entry. Over 4.7 ± 3.3 years of follow-up, 10 patients (47.6%) experienced an adverse clinical event (annual event rate: 10.1%/y), including five implantable cardioverter-defibrillator (ICD) implantations for ventricular tachycardia/ventricular fibrillation (VT/VF), an appropriate discharge of ICD for VT/VF, and four nonfatal thromboembolic strokes. Two patients developed systolic dysfunction (ejection fraction <50%). No sudden cardiac death or progressive heart failure was detected. Fourteen patients showed ST-segment elevation (≥1 mm) in V3 through V5 of ECG. In four patients, progression of the STsegment elevation was recognized. When the ST-segment elevation was used to identify apical aneurysms in HCM patients, the sensitivity was 66.7%, and the specificity was 98.7%. Conclusion: Apical aneurysms in HCM patients in Japan are not rare, and are associated with serious cardiovascular complications. The early diagnosis of apical aneurysms can be achieved by serial ECG.
International Conference on Electrical Engineering , Informatics , and Its Education 2015 B-1 Maximum Power Point Tracking Using Perturb & Observe Method For Photovoltaic System Based On Microcontroller

Electrical energy consumption increase but the availability of fossil energy, as fuel the national plant, dwindle. Besides environmental concerns to reduce CO2 emissions as the cause of green house effect increasing as well. This led to the use of renewable energy instead of fossil fuels is increasing. Indonesia has the potential of solar energy is large enough around 4.8 kWh / m2 / day with a monthly variation of approximately 9%. Photovoltaic is used to convert solar energy into electrical energy. However, photovoltaic efficiency is only about 20% and depends on the intensity of sunlight. PV efficiency can be increased when operating at maximum power point. To be able to work at the maximum power point, it is required maximum power point tracking (MPPT), which track the maximum power point to changes in light intensity. The purpose of this research is to design methods perturb and Observe (P & O) as the maximum power point tracking in photovoltaic system that is embedded in the microcontroller. A photovoltaic system is used in charging the battery via the buck boost converter. P & O algorithm is embedded in the microcontroller that is used to adjust the duty cycle of the buck boost converter to achieve the maximum power point. Microcontroller also regulates battery charging based on battery condition. Based on test results, the method of P & O can determine the maximum power point to changes in light intensity with good performance. Keywords— MPPT; Photovoltaic; pertub&observe
Pareto curve WiredTiger Cassandra , HBase RocksDB , LevelDB , cLSM bLSM Monkey

In this paper, we show that key-value stores backed by an LSM-tree exhibit an intrinsic trade-off between lookup cost, update cost, and main memory footprint, yet all existing designs expose a suboptimal and difficult to tune trade-off among these metrics. We pinpoint the problem to the fact that all modern key-value stores suboptimally co-tune the merge policy, the buffer size, and the Bloom filters’ false positive rates in each level. We present Monkey, an LSM-based key-value store that strikes the optimal balance between the costs of updates and lookups with any given main memory budget. The insight is that worst-case lookup cost is proportional to the sum of the false positive rates of the Bloom filters across all levels of the LSM-tree. Contrary to state-of-the-art key-value stores that assign a fixed number of bits-per-element to all Bloom filters, Monkey allocates memory to filters across different levels so as to minimize this sum. We show analytically that Monkey reduces the asymptotic complexity of the worst-case lookup I/O cost, and we verify empirically using an implementation on top of LevelDB that Monkey reduces lookup latency by an increasing margin as the data volume grows (50%− 80% for the data sizes we experimented with). Furthermore, we map the LSM-tree design space onto a closed-form model that enables co-tuning the merge policy, the buffer size and the filters’ false positive rates to trade among lookup cost, update cost and/or main memory, depending on the workload (proportion of lookups and updates), the dataset (number and size of entries), and the underlying hardware (main memory available, disk vs. flash). We show how to use this model to answer what-if design questions about how changes in environmental parameters impact performance and how to adapt the various LSM-tree design elements accordingly.
THE ROLE OF HYDROLOGICAL UNCERTAINTIES IN FLOOD RISK ANALYSIS : TONALA RIVER , MEXICO

Around the world, there is a scarce mention of the role of the different sources of uncertainty during the assessment of flood risk. Given the magnitude of the stakes at risk during the incidence of extreme events, it is necessary to somehow consider and inform how uncertainties may modify a given prediction. As a result of the necessity to make decisions in the light of uncertain scientific input, this is especially true in the flood risk analysis process, where the lack of accuracy in the results may induce significant deviations and mistakes. Within this context, the aim of this work is to present a practical framework for flood risk analysis, where the Source-Pressure-Response-Consequence model is used for the assessment of both probability and consequences due to flooding. For this, two methodological units are introduced, one aimed at the hazard characterisation and mapping and other related to the holistic characterisation of vulnerability. The first is carried out by means of an integrated approach comprised by a cascade of models; a distributed hydrological model and a standard 2D hydrodynamic model. While for the second part, the vulnerability of the system is dissected in five dimensions: physical, social, economic, ecologic and cultural. It is reflected that this enables the characterisation of the vulnerability in terms of both the degree of exposure and the fragility of the system to flooding. Uncertainty is considered in the hydrological model through the estimation of possible hydrographs for a given rainfall. The characterisation of the runoff by the multiple possibilities opens the door to a probabilistic estimation of flood maps.