Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Comprehensive Income Compared to Net Income on Share Prices of Egyptian Listed Companies

: This study aims to examine whether comprehensive income (CI) is superior to net income (NI) in explaining changes in share price. The used sample comprises Forty four Egyptian listed companies during the period from 2017 to 2019. Limited studies have focused on the relevancy of reporting (CI) in developing countries and Egypt is no exception. The descriptive analysis reveals that the majority of sampled companies are profitable during the study period. Additionally, the mean of CI value (4.73), was relatively greater than that of NI (4.03), which suggests that CI is a major indicator of company performance. However, the findings indicate that NI is less variability compared to CI, since the latter includes some nonrecurring items. Furthermore, the regression analysis indicates that both comprehensive income and net income have a positive significant relationship with the share prices of Egyptian listed companies. But, CI has a higher power to explain variations in share price than NI. Anyhow, the author believes that disclosing both NI and CI is really beneficial, since they are complementary to each other.
Automatically Generating Robust Signatures Using a Machine Learning Approach to Unveil Encrypted VoIP Traffic Without Using Port Numbers, IP Addresses and Payload Inspection

The identification of encrypted network traffic represents an important issue for network management tasks including quality of service, firewall enforcement and security. Traffic identification becomes more and more challenging as the traditional techniques such as port numbers or deep packet inspection are becoming ineffective against applications such as the Peer-to-Peer (P2P) Voice over Internet Protocol (VoIP), which uses non-standard ports and encryption. Thus, different approaches such as machine learning (ML) are explored in the literature for traffic classification. However, traffic classification represents a particularly challenging application domain for ML. Ideally, solutions should be both simple (hence efficient to deploy) and accurate. Recent advances in ML provide the opportunity to decompose the original problem into a subset of classifiers with non-overlapping behaviours, in effect providing further insight into the problem domain and increasing the throughput of solutions. Thus, this thesis presents a novel approach for generating robust signatures to classify P2P VoIP traffic using a ML-based approach, specifically with the C5.0, GP and AdaBoost classification algorithms. In this research, simple packet header feature sets and statistical flow feature sets are explored without using the IP addresses, source/destination ports and payload information to unveil the encrypted VoIP application in network traffic. In this context, what is meant by robust signatures are those which have been learned by training on one network are still valid when they are applied to traffic coming from different time periods, different networks (locations) as well as under evasion attacks that are designed to bypass such a classifier. Results show that the performance of the automatically generated signatures does not degrade significantly when evaluated against the robustness criteria. These results demonstrate that flow-based statistical features (temporal information) with the use of a ML-based approach can achieve high classification accuracy and produce robust signatures. Furthermore, the results on the evasion experiments demonstrate that the performance of the signatures is very promising if a malicious user tries to alter the characteristics of VoIP (specifically, Skype) traffic to evade the classifier.
Novel bearingless centrifugal blood pump

A new directly-driven centrifugal blood pump has been designed and constructed. It is based on a special form of permanent magnet brushless DC motor whose rotor is combined with an impeller and encased in a sealed pump housing. To prevent potential thromboembolism and clotting, the rotor does not have any mechanical bearing. Instead, it is magnetically suspended in the pump housing. The multi-winding stator is located outside the pump housing and provides the rotor with rotation motion and also the magnetic suspension force. With the aid of three-dimensional finite element simulator, the motor has been simulated and analysed. This device may find application as a temporary blood pump or even as an implantable artificial heart.
Entry stabilization utilizing rib bolting procedures

The danger to personnel, equipment, and pillar structure created by the spalling of a coal rib can be minimized by installing rib bolts. This paper reports that, to assure that a configured support system will maintain a coal rib, the U.S. Bureau of Mines developed a rib bolt system based on a nonpreventable failure concept. A statistical equation quantitatively relates the amount of rib retained to the bolt spacing and the width of the spalled material. Laboratory test results show that the equation accurately predicts the amount of material retained and confirm the validity of the support concept. The examination of rib bolting at a coal mine experiencing rib sloughage provides evidence that the effectiveness of the support can be related to the failure pattern of the spalled material. An analysis of roof and roof support reaction to rib sloughage at the mine indicated that the rib sloughage had little effect on roof stability. Although supporting ribs might not affect roof stability, laboratory test results indicate that the material retained by the support can sustain a load up to 20 pct of the intact compressive strength of the material.
An evolutionary misclassification cost minimization approach for medical diagnosis

This chapter illustrates how a misclassification cost matrix can be incorporated into an evolutionary classification system for medical diagnosis. Most classification systems for medical diagnosis have attempted to minimize the misclassifications (or maximize correctly classified cases). The minimizing misclassification approach assumes that Type I and Type II error costs for misclassification are equal. There is evidence that these costs are not equal and incorporating costs into classification systems can lead to superior outcomes. We use principles of evolution to develop and test a genetic algorithm (GA) based approach that incorporates the asymmetric Type I and Type II error costs. Using simulated and real-life medical data, we show that the proposed approach, incorporating Type I and Type II misclassification costs, results in lower misclassification costs than LDA and GA approaches that do not incorporate these costs.
Open Access Initiative and the Developing World

In a world of inequality, the open access initiative seeks to provide people all over the world (irrespective of where they live) with equal access to knowledge and information. This paper examines the concept of open access initiative from the perspective of the developing world. Highlighting the benefits developing countries stands to gain from the open access initiative as well as the obstacles to the realization of the open access initiative in the developing world. The paper also provides recommendations as to what governments, educational and research institutions in developing countries as well as organizations and groups in developed countries need to do in order to facilitate the realization of the noble objectives of the open access initiative in the developing world.
Computer generated hologram compression with attention-based deep convolutional neural network

We propose an attention-based deep convolutional neural network for computer generated hologram (CGH) compression, where a channel attention mechanism is applied to both computer generated hologram compression and reconstruction. By applying deep convolutional neural networks in the compression process, we can extract more compact and representative information than bicubic interpolation. Additionally, a channel attention mechanism is applied to selectively emphasize informative features and suppress less useful ones for both CGH compression and reconstruction. By employing attention mechanisms to enhance the feature representation ability of deep convolutional neural networks, we can further improve the performance of the reconstructed computer generated hologram. Experimental results show our method can better recover the compressed computer generated hologram than only employing convolutional neural networks in the reconstruction process.
Evolutionary algorithms for the development and optimisation of wave energy converter control systems.

Many strategies have been proposed for the control of wave energy converters (WECs). In order to evaluate these control strategies, they need to be optimised for realistic operating conditions. This paper develops a generic approach for WEC optimisation based on the use of Evolutionary Algorithms (EAs). A new evolutionary algorithm is developed to efficiently resolve problems found in WEC control. Simulation results are presented for tuning an illustrative device in both sinusoidal and real waves; and for optimisation of slow tuning, latching and fast tuning control systems. These results show an increase in the power capture of the device using the optimised control, and demonstrate a convergence to an optimum solution within the constraints presented. In contrast to conventional methods, the proposed EA successfully optimises the control algorithms for realistic seas without prior assumptions. The capabilities of EAs in a machine learning setting, in which the control algorithm continues to evolve after installation, are then considered.
Review of the Key Techniques of Video Velocimetry

Vehicle detection based on video plays a more and more important role in the intelligent transportation system (ITSs), since it presents siginificant advantages such as simple structure, less equipment, no radiation and easier to secondary development and so on over other methods. Based on those the paper summarizes the principle of video velocity measurement and object detection, furthermore, focuses on the analysis of the main content and the latest progress of background difference, frame difference and optical flow. Finally, presents the strengths and weaknesses and the technical difficulties faced, and points out directions of future research in this area.
Cumulative damage model of mid‐rise shear wall and its experimental verification

The study concentrated on investigating the relationship of the continuous cumulative damage, macroscopic deformation development and failure process of mid‐rise shear walls. Nonlinear fiber element model considering the effect of cumulative damage is proposed for evaluating the seismic performance of shear wall. Numerical analyses of shear wall specimens are carried out according to the proposed model to obtain the evolution of damage index of the shear wall. Experiments of six L‐shaped shear wall specimens subjected to reversed cyclic loading are carried out to verify the proposed model. Correlation of damage index and performance level is established, which provides good reference for the safety assessment of the structure under seismic type of loading. The model is efficient to evaluate the seismic performance of shear wall proved by the satisfactory agreement between analytical and experimental results. Copyright © 2012 John Wiley & Sons, Ltd.
The genetic role of Glutathione S-Transferase Mu 3 (GSTM3) intron 6 polymorphism in the susceptibility to cancer

Background We retrieved different reports containing different genetic effects of A/B polymorphism within the Glutathione S-Transferase Mu 3 (GSTM3) intron 6 on the susceptibility to cancer in the overall population. Methods Herein, we first conducted a meta-analysis to comprehensively assess such a genetic relationship after collecting the available published evidence. STATA 12.0 software was used for the statistical analysis. Results By retrieving and screening database literature, a total of fifty-three eligible articles were finally selected. Even though no significant difference between overall cancer cases and negative controls was detected under the allelic, homozygotic, heterozygotic, dominant and recessive genetic model, we observed a reduced risk of head and neck cancer in cases, compared with controls, under the homozygotic model (BB vs. AA, P =0.047, OR=0.75) and recessive model (BB vs. AA+AB, P =0.045, OR=0.76), but not other models. Furthermore, a decreased risk of head and neck SCC cancer was detected under all the genetic models (allelic B vs. A, P =0.007, OR=0.78; BB vs. AA, P =0.006, OR=0.54; AB vs. AA, P =0.045, OR=0.82; AB+BB vs. AA, P =0.002, OR=0.77; BB vs. AA+AB, P =0.021, OR=0.63; carrier B vs. A, P =0.032, OR=0.83). Conclusion Our findings suggested that the GSTM3 intron 6 A/B polymorphism may confer the protective susceptibility to the squamous cell carcinoma of head and neck.
Power Electronic Converter Control Techniques for Improved Low Voltage Ride Through Performance in WTGs

The low voltage ride through (LVRT) requirement that has recently been imposed on the majority of new wind park projects has direct implications on the design and sizing of the power electronic conversion component. This paper considers three wind energy conversion systems and compares them in terms of the additional power electronic infrastructure and control that is required to meet the LVRT requirement. The complete detailed models are developed using electromagnetic transients programming and are compared for various low voltage events. The results convincingly show that the turbine that is interfaced through a full converter, using a dump load to limit dc over voltages, is simple in terms of realization and demonstrates superior performance.
Indeks kemiskinan pelbagai dimensi sebagai alternatif pengukuran kemiskinan:kajian kes di daerah Baling, Kedah.

Pengukuran kemiskinan di Malaysia pada masa ini kebiasaanya menggunakan pendekatan satu dimensi iaitu sama ada mengikut dimensi pendapatan ataupun perbelanjaan.Kaedah ini dirasakan kurang memberi petunjuk yang tepat tentang kemiskinan. Untuk itu , artikel ini mengemukakan satu alternatif baru untuk mengukur kemiskinan bagi daerah Baling di negeri Kedah dengan menggunakan indeks kemiskinan pelbagai dimensi atau lebih dikenali dengan 'Multidimensional Poverty Index'(MPI) yang diperkenalkan oleh Alkire dan Foster (2007). Terdapat 14 indikator dalam empat dimensi yang dikaji iaitu dimensi pendidikan, kesihatan,kesejahteraan dan kekayaan. Kajian dilakukan keatas 198 isi rumah di daerah Baling. Keputusan kajian menunjukkan selain dimensi ternakan,sebanyak 87.37 peratus isi rumah menghadapi kekurangan dlam mendapatkan makanan yang berzat dan 70.20 peratus isi rumah kekurangan dalam dimensi pemilikan tanah. Selain daripada mengetahuai dimensi apa yang menjadi masalah utama kepada sesebuah masyarakat itu, kaedah ini juga boleh dipisahkan sama ada mengikut bandar luar bandar, jantina agama kaum dan sebagainya. Untuk itu disarankan bagi mencapai matlamat membasmi dengan lebih berkesan, satu pendekatan yang bersesuaian dan bertepatan dengan keadaan kemiskinan harus dilakukan agar penyelesaian masalah itu dapat dilakukan mengikut keperluan. Maka dalam kajian ini, beberapa indikator untuk mengukur dan mengklasifikasikan sesebuah keluarga itu miskin atau tidak. Keputusan pengukur daripada pendekatan yang lebih komprehensif ini dijangkakan akan memberi gambaran yang lebih tepat.
Terrain sensing and estimation for dynamic outdoor mobile robots

In many applications, mobile robots are required to travel on outdoor terrain at high speed. Compared to traditional low-speed, laboratory-based robots, outdoor scenarios pose increased perception and mobility challenges which must be considered to achieve high performance. Additionally, high-speed driving produces dynamic robotterrain interactions which are normally negligible in low speed driving. This thesis presents algorithms for estimating wheel slip and detecting robot immobilization on outdoor terrain, and for estimating traversed terrain profile and classifying terrain type. Both sets of algorithms utilize common onboard sensors. Two methods are presented for robot immobilization detection. The first method utilizes a dynamic vehicle model to estimate robot velocity and explicitly estimate longitudinal wheel slip. The vehicle model utilizes a novel simplified tire traction/braking force model in addition to estimating external resistive disturbance forces acting on the robot. The dynamic model is combined with sensor measurements in an extended Kalman filter framework. A preliminary algorithm for adapting the tire model parameters is presented. The second, model-free method takes a signal recognition-based approach to analyze inertial measurements to detect robot immobilization. Both approaches are experimentally validated on a robotic platform traveling on a variety of outdoor terrains. Two detector fusion techniques are proposed and experimentally validated which combine multiple detectors to increase detection speed and accuracy. An algorithm is presented to classify outdoor terrain for high-speed mobile robots using a suspension mounted accelerometer. The algorithm utilizes a dynamic vehicle model to estimate the terrain profile and classifies the terrain based on spatial frequency components of the estimated profile. The classification algorithm is validated using experimental results collected with a commercial automobile driving in real-world conditions. Thesis Supervisor: Karl lagnemma Title: Principal Research Scientist
First operation of the Los Alamos free-electron laser oscillator

An FEL oscillator has been operated at wavelengths between 9 and 11 . mu.m with a peak intracavity power of about 20 MW and an average output power of 1 kW in 70- . mu.s pulses. We present the design parameters and operating characteristics. We report measurements of spontaneous emission, start-up of oscillations, and signal growth through approx. 9 orders of magnitude to saturation. The dependence of gain and saturation on cavity length, alignment, beam parameters, and other critical variables are discussed and compared with theory. 7 references.
Defense Environmental Restoration Program Annual Report to Congress for Fiscal Year 1990

Abstract : The Defense Environmental Restoration Program (DERP) was established in 1984 to promote and coordinate efforts for the evaluation and cleanup of contamination at Department of Defense (DoD) installations. In order to accomplish the recovery of military installations and DoD sites the program currently consists of two major elements: (1) The Installation Restoration Program (IRP), where potential chemical contamination, fuel contamination, ground water pollution and other toxic hazards are investigated and, as necessary, site cleanups and disposal are conducted. (2) Other Hazardous Waste (OHW) Operations, through which research, development, and demonstration programs aimed at reducing DoD hazardous waste generation rates are conducted. Also included are training of DoD personnel, progress reports at NLP sites, information of the reclamation process and site selection.
Simulation tools for microelectromechanical systems

In this thesis efficient techniques to solve complex 3-D electromechanical problems are developed. Finite element discretization of complex structures such as the micromirror lead to thousands of internal degrees of freedom. Their mostly rigid motion is exploited leading to a mixed rigid-elastic formulation. This formulation's advantage is apparent when it is incorporated in an efficient coupled domain simulation technique and examples are presented exploring geometry effects on device behavior. Then for system level simulation where full device simulation costs add up we need models with much reduced order with little degradation in accuracy. We describe a model reduction formulation for the electromechanical problem based on implicit techniques which accurately capture the original model behavior. Thesis Supervisor: Jacob White Title: Professor of Electrical Engineering and Computer Science Thesis Committee Chairman: Kevin Amaratunga Title: Assistant Professor of Civil and Environmental Engineering
Reconstructing a Sense of Safety among Resettled Refugee Survivors of Torture: A Constructivist Grounded Theory Study

Abstract Introduction:The experience of torture can have a lasting impact on survivors’ physical, psychological and social well-being and threaten their sense of safety. Methods: This study utilized a constructivist grounded theory approach to describe the strategies and tactics for reconstructing a sense of safety used by torture survivors receiving holistic treatment after resettlement. Results: The description that emerged included the following four themes: seeking out a “safer” physical environment, turning inward, forming selective “safe” attachments, and strengthening personal resources. Discussion: These findings highlight the importance of designing interventions that recognize safety as a critical component of the healing process.
Putting Podcasting into Perspective

What is to be made of the podcasting phenomenon? Is it, in the words of the title of a forthcoming book, "pirate radio for the masses", or is it a fad destined to remain primarily a tool of the technologically literate? This paper suggests that podcasting is a "bypass" technology, allowing individuals to bypass the entire established radio industry in the same way that bloggers functioning as "citizen journalists" can bypass the mainstream print media. Podcasting allows users to establish uncontrolled point-to-point relationships (fulfilling an early promise of radio) in the same way that bloggers can establish direct links with those who post to their sites. But in both cases - podcasting and blogging - there is potential for a "roadblock" as major commercial organizations move in. As they seek to coopt the technology in aid of their for-profit purposes, they may undermine the "free-ofcharge, power-to-the-people" ethos which still surrounds blogging and podcasting as it did in the early days of the Internet. However, the possible assimilation of these tools into corporate promotional strategies may prove to be the key to their making an impact on the masses rather than mainly amongst the technologically aware. By deploying podcasts to support their commercial objectives, relatively resource-rich corporations may move podcasting from its "on the edge", pseudo-amateur status closer to the centre of the media sphere. This may be exactly what podcasting needs if, like Rowehl, one takes the view that "Podcasting is a cultural and social revolution, not a technical one". [1]
Designing a 3rd generation, authenticatable attribute measurement system

Attribute measurement systems (AMS) are designed to measure potentially sensitive items containing Special Nuclear Materials to determine if the items possess attributes which fall within an agreed-upon range. Such systems could be used in a treaty to inspect and verify the identity of items in storage without revealing any sensitive information associated with the item. An AMS needs to satisfy two constraints: the host party needs to be sure that none of their sensitive information is released, while the inspecting party wants to have confidence that the limited amount of information they see accurately reflects the properties of the item being measured. The former involves 'certifying' the system and the latter 'authenticating' it. Previous work into designing and building AMS systems have focused more on the questions of certifiability than on the questions of authentication - although a few approaches have been investigated. The next step is to build a 3rd generation AMS which (1) makes the appropriate measurements, (2) can be certified, and (3) can be authenticated (the three generations). This paper will discuss the ideas, options, and process of producing a design for a 3rd generation AMS.