Miracle-dz/UniFAR-FTUs huggingface dataset:
On the propagation of localized perturbations in media with microstructure; 84–92

The propagation of solitary waves in dilatant granular materials is studied using the hierarchical Korteweg–de Vries type evolution equation. The model equation is solved numerically under localized initial conditions by the pseudospectral method. The behaviour of the solution is analysed over a wide range of material parameters (two dispersion parameters and one microstructure parameter). Five solution types are introduced. Special attention is paid to the solitonic character of solutions.
Water Requirement Components of some Egyptian Rice Varieties in North Nile Delta

Two experiments were conducted at Sakha Agriculture Research Station, during the two successive summer growing seasons of 2012 and 2013 to estimate and analysis water requirements components for some Egyptian rice varieties (Oryza sativa L); namely cvs. Giza 178, Sakha 102 and Sakha 104 and to evaluate and compare the estimated rice crop evapotranspiration (ETc) values computed using Hargreaves, Penmen-Monteith and Class A pan methods used for (ETc) with the measured actual rice evapotranspiration (ETa) using micropaddy lysimeter used for (ETa) to evaluate the best method for estimating the reference evapotranspiration which suitable with North Nile Delta conditions.
Analytical Evaluation of Core Losses, Thermal Modelling and Insulation Lifespan Prediction for Induction Motor in Presence of Harmonic and Voltage Unbalance

Electrical motor are the ubiquitous workhorses of the industry, working over wide range of conditions and applications. Modern motors, designed to exact ratings using new materials and improved manufacturing techniques, are now much smaller but have higher loadings. They are being operated much closer to the point of overload than ever before. To ensure a satisfactory lifespan for the motor, temperature rise must be limited to the safe values. This paper proposes an analytical approach to estimate core losses of induction motor supplied by either harmonic content or voltage unbalance source. A model based on the thermal lumped parameters is introduced and used to predict the insulation lifespan of induction motors. Lumped parameters network of the motor is developed based on dimensions of the motor, thermal resistances, thermal capacitances, and loss sources. Then, the model is used to estimate the temperature in different parts of the machine and its insulation lifespan. Finally, the predicted results are verified by experiments.
An Effective Method of Systems Requirement Optimization Based An Effective Method of Systems Requirement Optimization Based on Genetic Algorithms on Genetic Algorithms

: Requirements engineering is the ﬁrst step of software development process and it is one of the main concerns of software engineers. System requirements selection is the engineering process to select an optimal set of system requirements for implementation in the next system of the software from many requirements proposed by the customers on condition that budget and customer satisfaction are being balanced. This NP-hard problem is an important issue involving several conﬂicting objectives that have to be processed by software companies when developing new software systems. Software systems have to perform their function within resource constraints, but they also have to cover the largest number of customer requirements. Additionally, in real life problem, the requirements selection process suffers from complication due to interactions and other constrictions. In this paper, meta-heuristic techniques have been applied along with adapted/modiﬁed multi-objective function which has been successfully applied to several real cases of the problem. The system requirements selection problem has been formulated as a multi-objective optimization problem with two objectives that minimizes the total system’s development cost and maximizes customer’s satisfaction totality. Moreover, GA has been adapted to solve real cases of the problem and tested with case studies on two real datasets that have been carried out to demonstrate and prove the effectiveness of the multi-objective proposed approach and the obtained experimental results show that the updated GA can effectively generate high quality solutions and performs better than other pertinent algorithms previously published in the literature under a set of public datasets.
Analysis of Dendrimer Generation by Sombor Indices

Dendrimers are highly branched, star-shaped macromolecules with nanometer-scale dimensions. Dendrimers are defined by three components: a central core, an interior dendritic structure (the branches), and an exterior surface with functional surface groups. Topological indices are numerical numbers that help us to understand the topology of different dendrimers and can be used to predict the properties without performing experiments in the wet lab. In the present paper, we computed the Sombor index and the reduced version of the Sombor index for the molecular graphs of phosphorus-containing dendrimers, porphyrin-cored dendrimers, PDI-cored dendrimers, triazine-based dendrimers, and aliphatic polyamide dendrimers. We also plotted our results by using Maple 2015 which help us to see the dependence of the Sombor index and reduced Sombor index on the involved parameters. Our results may help to develop better understanding about phosphorus-containing dendrimers, porphyrin-cored dendrimers, PDI-cored dendrimers, triazine-based dendrimers, and aliphatic polyamide dendrimers. Our results are also useful in the pharmaceutical industry and drug delivery.
International Journal of Scientific Research in Mechanical and Materials Engineering

15 Design of SRR Based Metamaterial Antenna for 4G WiMAX Applications Geetharamani G1, *Aathmanesan T2 1Mathematics, Anna University, Tamilnadu, India 2*ICE, Anna University, Tamilnadu, India ABSTRACT The demand for high-speed data services for portable devices has become a driving force for the development of advanced broadband access technologies. Therefore, in this paper metamaterial antenna for 4G WiMAX application presented. “Meta” is a Greek word which means “beyond" the materials provides properties beyond the conventional materials. A simple circular patch antenna is provided with the split ring resonator metamaterial structure in its ground plane which is used to improve the performance of the regular patch antenna. In this research work FR4 substrate with dielectric permittivity of 4.4 and height of the substrate is 1.6 mm is used for manufacturing the proposed metamaterial antenna. The proposed antenna having 40 mm length and 30 mm width dimension. This metamaterial antenna is designed with an integral based solver simulation software called CST Microwave studio v2019 and obtained VSWR < 1.5, Return loss of -12 dB and Bandwidth of 230 MHz, gain of 2.11 dBi at the resonant frequency of 2.3 GHz. The proposed metamaterial antenna is suitable for 4G WiMAX services.
The Influence of 'Teachers’ Leadership Style' on Primary Students’ Learning Outcomes in a Private School in Sharjah, UAE

Nowadays, there is a perceptible consideration towards teachers’ leadership styles. Different types of research on educational leadership signify that transformational leadership style, particularly charismatic leadership, is considered as a catalyst for enhancing the results of students. Educators play a vital part in the learning process of both the school as an organization and students of the school. Also, high enthusiasm for learning shows positive learning in the classroom. In the primary level, students are more affected by the charisma of their teachers. This research investigates the influence of 'Teachers’ Leadership Style' on primary students’ learning outcomes. A qualitative approach was used through semi-structured interviews with fourteen participants; participants were three Heads of departments, six primary teachers, and five parents who reported on their instructors’ leadership in addition to their classroom behavior and learning. Findings suggest that the participants believe that there is a positive link between teachers’ charismatic leadership style and students’ achievement. Additionally, the results indicate that there are a variety of crucial factors that might have a direct effect on linking between teachers’ style and students’ results.
Handwriting Character Recognition Javanese Letters Based on Artificial Neural Network

— Javanese character is one of Indonesia's cultural heritages that must be preserved. Manuscript form of the Javanese character is one of the priceless inheritances. Javanese characters are often called the Hanacaraka font. The development of technology especially in the field of image processing is one method to preserve the culture. The development of image processing methods for detecting characters from images with fewer errors is a great task. The purpose of this research is to create a system of Javanese character recognition from the handwriting into Latin character, so that the young generation can learn the form of Javanese character easily. The method used in this research is back-propagation as a classification method. The trial result of this recognition is to have accuracy 74 %.
WATSON: A Workﬂow-based Data Storage Optimizer for Analytics

—This paper studies the automatic optimization of data placement parameters for the inter-job write once read many (WORM) scenario where data is ﬁrst materialized to storage by a producer job, and then accessed for many times by one or more consumer jobs. Such scenario is ubiquitous in Big Data analytics applications but existing Big Data auto-tuning techniques are often focused on single job performance. To address the shortcomings in existing works, this paper investigates data placement parameters regarding blocking, partitioning and replication and models the trade-offs caused by different conﬁgurations of these parameters through a producer-consumer model. We then present a novel cross-layer solution, WATSON, which can automatically predict future workloads’ data access patterns and tune data placement parameters accordingly to optimize the performance for an inter-job WORM scenario. WATSON can achieve up to eight times performance speedup on various analytics workloads.
PMSM drive with adaptive state feedback speed controller

In this paper, the issue related to control of the plant with nonconstant parameters is addressed. In order to assure the unchanged response of the system, an adaptive state feedback speed controller for permanent magnet synchronous motor is proposed. The model-reference adaptive system is applied while the Widrow-Hoff rule is used as adjustment mechanism of controller’s coefficients. Necessary modifications related to construction of the cost function and formulas responsible for adjustment of state feedback speed controller’s coefficients are depicted. The impact of adaptation gain, which is the only parameter in proposed adjustment mechanism, on system behaviour is experimentally examined. The discussion about computational resources consumption of the proposed adaptation algorithm and implementation issues is included. The proposed approach is utilized in numerous experimental tests on modern SiC based drive with nonconstant moment of inertia. Comparison between adaptive and nonadaptive control schemes is also shown.
Numerical-Based Computerized Modelling for Tsunami: Initiating Planning for Natural Disaster of South Kota Denpasar-Bali

This article addresses planning for natural disaster management. It focuses on composing preventive measures before a natural disaster. Assuming a potential tsunami hitting the coast of Sanur (the southern and eastern coastal-fronts of Kota Denpasar - Bali’s capital), analysis is grounded by conducting numerical-based computer modeling. It relies on three sets of data: slope, coefficient of surface roughness, and wave height impact. This computer modeling generates scenarios of potential inundation whose catastrophic consequences would have serious impacts on urban life, individuals, and the island's economy. Based on the height of the wave hitting the coast, three scenarios of 5, 10, and 15 Meters are projected. A numerical-based modeling system provides hypothetical data that is then deterministic in analyzing critically impacted urban areas before any spatial-based evacuation scenario can be developed. The study concludes that Denpasar is potentially in a perilous situation. There is a great and present danger that demands impact-based mitigation planning for natural disasters, which is currently absent. Working with a priority, study findings lead to the most urgent need to constitute a plan for tsunami-based mitigation for Serangan Island – one among ten administrative territories of the selected case study - inundation caused by all three scenarios fully submerge that. However, given Denpasar’s extensive and encompassing littoral zones, the need for such a plan – for all ten spatial units that come under its administration - is now urgent and of maximum priority.
Effects of radial radio-frequency field inhomogeneity on MAS solid-state NMR experiments

Abstract Radio-frequency field inhomogeneity is one of the most common imperfections in NMR experiments. They can lead to imperfect flip angles of applied radio-frequency (rf) pulses or to a mismatch of resonance conditions, resulting in artefacts or degraded performance of experiments. In solid-state NMR under magic angle spinning (MAS), the radial component becomes time-dependent because the rf irradiation amplitude and phase is modulated with integer multiples of the spinning frequency. We analyse the influence of such time-dependent MAS-modulated rf fields on the performance of some commonly used building blocks of solid-state NMR experiments. This analysis is based on analytical Floquet calculations and numerical simulations, taking into account the time dependence of the rf field. We find that, compared to the static part of the rf field inhomogeneity, such time-dependent modulations play a very minor role in the performance degradation of the investigated typical solid-state NMR experiments.
Recurrent laryngeal nerve identification in thyroidectomy by intraoperative staining with methylene blue

General Surgery Department, Faculty of Medicine, Zagazig University, Egypt. Corresponding Author: Ahmed Emad Eldeen Sebaey Email: drahmedemad666@gmail.com Abstract: Background: Unrecognized transection of the recurrent laryngeal nerve (RLN) or its motor branch could result in an unexpected permanent palsy. So, for a safe thyroid operation, intraoperative assurance of anatomical and functional RLN integrity is a necessity. Aim of work: To evaluate the recognition and protection of RLN by staining the RLN intraoperatively with methylene blue (MB) in one side and comparing it with the identification alone in the other side visually during total thyroidectomy. Subjects and methods: A case control study (retrospective study) carried out in the department of surgical oncology Zagazig university hospitals and Ismailia teaching oncology hospital during the period from November 2018 to August 2019. The study included 112 patients with bilateral thyroid disease who will do total thyroidectomy. The patients were subdivided into two groups depending on the MB use. Complete history taking was taken from all subjects. General examination of all body systems and local examination of the neck were done. We also did full lab investigations, neck U/S then the operations were performed. Results: We detected transient vocal cord palsy 10 sides (8.6%) of visual identification alone, while in MB sides no case was detected with the same lesion. Conclusion: Recognition of RLN intraoperatively by MB staining is cheap and widely available technique and can decrease the stress during thyroidectomy, especially when Intra Operative Nerve Monitoring (IONM) is absent.
DRIVER DROWSINESS DETECTION BY USING WEBCAM

Drowsiness and fatigue are one of the main causes leading to road accidents. They can be prevented by taking effort to get enough sleep before driving, drink coffee or energy drink, or have a rest when the signs of drowsiness occur. The popular drowsiness detection method uses complex methods, such as EEG and ECG. This method has high accuracy for its measurement but it need to use contact measurement and it has many limitations on driver fatigue and drowsiness monitor [18]. Thus, it is not comfortable to be used in real time driving. This paper proposes a way to detect the drowsiness signs among drivers by measuring the eye closing rate and yawning. This project describes on how to detect the eyes and mouth in a video recorded from the experiment conducted by MIROS (Malaysian Institute of Road Safety). In the video, a participant will drive the driving simulation system and a webcam will be place in front of the driving simulator. The video will be recorded using the webcam to see the transition from awake to fatigue and finally, drowsy. The designed system deals with detecting the face area of the image captured from the video. The purpose of using the face area so it can narrow down to detect eyes and mouth within the face area. Once the face is found, the eyes and mouth are found by creating the eye for left and right eye detection and also mouth detection. The parameters of the eyes and mouth detection are created within the face image. The video were change into images frames per second. From there, locating the eyes and mouth can be performed. Once the eyes are located, measuring the intensity changes in the eye area determine the eyes are open or closed. If the eyes are found closed for 4 consecutive frames, it is confirm that the driver is in drowsiness condition.
Repression of the Salmonella typhimurium metE Gene

The vitamin B12 (B.2)-mediated repression of the metE gene in Escherichia coli and Salmonella typhimurium requires the B12-dependent transmethylase, the metH gene product. It has been proposed that the MetH-B12 holoenzyme complex is involved directly in the repression mechanism. Using Escherichia coli strains lysogenized with a A phage carrying a metE-lacZ gene fusion, we examined B12-mediated repression of the metE-lacZ gene fusion. Although B12 supplementation results in a 10-fold repression of metE-lacZ expression, homocysteine addition to the growth medium overrides the B12-mediated repression. In addition, B12-mediated repression of the metE-lacZ fusion is dependent on a functional MetR protein. When a metB mutant was transformed with a high-copy-number plasmid carrying the metE gene, which would be expected to reduce intracellular levels of homocysteine, metE-lacZ expression was reduced and B12 supplementation had no further effect. In a metJ mutant, B12 represses metE-lacZ expression less than twofold. When the metJ mutant was transformed with a high-copy-number plasmid carrying the metH gene, which would be expected to reduce intracellular levels of homocysteine, B12 repression of the metE-lacZ fusion was partially restored. The results indicate that B12-mediated repression of the metE gene is primarily a loss of MetR-mediated activation due to depletion of the coactivator homocysteine, rather than a direct repression by the MetH-Bl2 holoenzyme.
CALLUM, WALKER; FEDERICI, FEDERICO (EDS.). EYE TRACKING

Eye tracking is “the process of recording the point of gaze of a person and the movement of the eyes from one point to another” (Saldanha & O’Brien, 2013, p. 136). In recent years, eye-tracking approaches, “borrowed” from cognitive and psychological sciences, have attracted considerable interest in Translation Studies (Doherty, 2016). The decrease in cost of eye trackers, improved handling, and the creation of more one-stop-shop analysis software packages have all contributed to the development of this research avenue in Translation Studies (Schulte-Mecklenbeck et al., 2017).
Analisis Tegangan von Mises dan Safety Factor pada Chassis Kendaraan Listrik Tipe In-Wheel

Transportasi merupakan kebutuhan setiap manusia untuk menunjang pekerjaannya. Saat ini kendaraan ramah lingkungan yang banyak dikembangkan adalah kendaraan listrik. Kendaraan listrik dianggap bebas emisi dan dapat mempengaruhi kondisi lingkungan. Salah satu komponen penting pada kendaraan listrik adalah chassis. Untuk itu, diperlukan desain chassis yang tepat agar keamanan dan kenyamanan kendaraan terjamin. Dalam perkembangan kendaraan listrik, model penggerak motor listrik langsung ditempatkan pada roda atau yang sering disebut dengan in-wheel. Tujuan penelitian ini adalah (1) Mendesain chassis pada kendaraan listrik tipe in-wheel, (2) Menganalisis tegangan von mises dari desain chassis kendaraan listrik tipe in-wheel, (3) Menganalisis safety factor pada kendaraan listrik ramah lingkungan tipe in-wheel. Metode penelitian menggunakan simulasi. Simulasi dilakukan dengan menggunakan software Autodesk Inventor. Material yang digunakan yaitu baja AISI 1018 HR. Hasil Penelitian menunjukkan telah dihasilkan desain chassis untuk kendaraan listrik 6 orang penumpang. Tegangan von mises pada chassis minimum sebesar 0 dan maksimal 20,33 MPa, displacement minimum sebesar 0 dan maksimum sebesar 0,22, serta nilai safety factor minimum sebesar 12,3 dan maksimum sebesar 15. Berdasarkan hasil penelitian desain chassis yang telah dibuat dikategorikan aman secara teknis.
EFFICIENT ESTIMATION AND COMPUTATION IN GENERALIZED VARYING COEFFICIENT MODELS AND VARIANCE FUNCTIONS FOR LARG-SCALE DATA

Generalized varying coefficient models have emerged as a powerful tool for modeling nonlinear interactions between covariates and an index variable when the outcome follows a non-normal distribution. The model often stipulates a link function as well as a variance function, which may not be valid in practice. For example, in a largescale study of delinquency of loan payment for the purchase of expensive smart phones in China, it has been found that parametric functions may not adequately characterize the data and may yield biased results. We propose a generalized varying coefficient models with unknown link and variance functions. With such a massive dataset, simultaneous estimation of link and variance functions as well as a large number of varying coefficient functions poses challenges. We further propose a global kernel estimator, along with a series of linear approximations, which achieves computational and statistical efficiency. EFFICIENT ESTIMATION AND COMPUATION IN GVCM AND VF 2 The estimators can be explicitly expressed as a linear function of outcomes and are proven to be semiparametrically efficient in the sense of Bickel et al. (1993). Extensive simulations demonstrate the superiority of the method compared to the other competing methods, and the proposal is applied to analyze the aforementioned smart phone loan payment study.
SafeChat System with Natural Language Processing and Deep Neural Networks

—The internet plays an ever-increasing part in the day-to-day lives of many people. Ubiquitous computing has given rise to sophisticated, streamlined and faster connections across a range of devices. Mobile smart phones are in the hands of children as young as five years old, and whilst this allows them to interact with educational applications and the wealth of information available on-line, it can put them in danger. There has been a consistent stream of stories involving children and adolescents being at risk because of unsafe on-line behaviour. Predators can prey on the vulnerable, by pretending to be a peer and convincing them, by charm or threats, to compromise their safety. Governments across the globe have initiatives to combat this threat, there are working groups and police task forces in place to respond to both the growing number, and impact of these incidents on children, young people, families and communities. In order to monitor on-line conversation and identify different levels of threats, the SafeChat system was designed and implemented using an ontology-based system and Natural Language Processing (NLP) techniques.