bluuebunny/crossref_metadata_2025 huggingface dataset:
Benchmarking open source deep learning frameworks
Authors: Al-Bdour Ghadeer , Al-Qurran Raffi , Al-Ayyoub Mahmoud , Shatnawi Ali
Published: June 2020

Deep Learning (DL) is one of the hottest fields. To foster the growth of DL, several open source frameworks appeared providing implementations of the most common DL algorithms. These frameworks vary in the algorithms they support and in the quality of their implementations. The purpose of this work is to provide a qualitative and quantitative comparison among three such frameworks: TensorFlow, Theano and CNTK. To ensure that our study is as comprehensive as possible, we consider multiple benchmark datasets from different fields (image processing, NLP, etc.) and measure the performance of the frameworks' implementations of different DL algorithms. For most of our experiments, we find out that CNTK's implementations are superior to the other ones under consideration.
The effect of gamma value on support vector machine performance with different kernels
Authors: Al-Mejibli Intisar Shadeed , Alwan Jwan K. , Abd Dhafar Hamed
Published: June 2020

Currently, the support vector machine (SVM) regarded as one of supervised machine learning algorithm that provides analysis of data for classification and regression. This technique is implemented in many fields such as bioinformatics, face recognition, text and hypertext categorization, generalized predictive control and many other different areas. The performance of SVM is affected by some parameters, which are used in the training phase, and the settings of parameters can have a profound impact on the resulting engine’s implementation. This paper investigated the SVM performance based on value of gamma parameter with used kernels. It studied the impact of gamma value on (SVM) efficiency classifier using different kernels on various datasets descriptions. SVM classifier has been implemented by using Python. The kernel functions that have been investigated are polynomials, radial based function (RBF) and sigmoid. UC irvine machine learning repository is the source of all the used datasets. Generally, the results show uneven effect on the classification accuracy of three kernels on used datasets. The changing of the gamma value taking on consideration the used dataset influences polynomial and sigmoid kernels. While the performance of RBF kernel function is more stable with different values of gamma as its accuracy is slightly changed.
Modelling of sensored speed control of BLDC motor using MATLAB/SIMULINK
Authors: Alsayid Basim , Salah Wael A. , Alawneh Yazeed
Published: June 2020

<span style="font-size: 9pt; font-family: 'Times New Roman','serif'; mso-bidi-font-style: italic; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Recent developments in the field of magnetic materials and power electronics, along with the availability of cheap powerful processors, have increased the adoption of brushless direct current (BLDC) motors for various applications, such as in home appliances as well as in automotive, aerospace, and medical industries. The wide adoption of this motor is due to its many advantages over other types of motors, such as high efficiency, high dynamic response, long operating life, relatively quiet operation, and higher speed ranges. This paper presents a simulation of digital sensor control of permanent magnet BLDC motor speed using the MATLAB/SIMULINK environment. A closed loop speed control was developed, and different tests were conducted to evaluate the validity of the control algorithms. Results confirm the satisfactory operation of the proposed control algorithms.
Inverse sinusoidal pulse width modulation switched electric vehicles’ battery charger
Authors: Das Saurav , Salim Khosru M. , Chowdhury Dhiman , Hasan Mohammed Mahedi
Published: June 2020

This paper documents an efficient, cost-effective and sustainable grid-connected electric vehicles (EVs) battery charger based on a buck converter to reduce the harmonics injected into the mains power line. To utilize the switching converter as an effective power factor controller (PFC), inverse sinusoidal pulse width modulation (ISPWM) signals have been applied. A mathematical relationship between the sending-end power factor and the duty ratio of the switching converter has been presented. To ensure the sustenance of the proposed method, a simulation model of the proposed battery charging system has been tested on PSIM simulation platform. The simulation results yield to a lossless charging system with a sending-end power factor close to unity. An experimental testbed comprising a 60 V battery bank of 100 A-h capacity with a charging current of 7 A has been generated. The laboratory assessments present an 88.1% efficient charging prototype with a resultant sending-end power factor of 0.89. The laboratory framework concerns with the comparative analysis of the power efficiency, sending-end power factor and lines current total harmonic distortion (THD) values obtained for different charging methods and the evaluations corroborate the reliability of the proposed work.
Asset management and maintenance: a smart grid perspective
Authors: Jung Chan-Mook , Ray Papia , Salkuti Surender Reddy
Published: June 2020

This paper presents the importance, issues and challenges related to Smart Grid. It also evaluates various approaches for Smart Grid planning and operation. It discusses tools for asset management and their applicability to the next generation grid. Aging assets, uncertainty in load demand profile and renewable energy resources, and demand management create a challenge for the optimal operation and maintenance of electrical grid. This paper addresses the challenges and opportunities to improve transmission and distribution systems asset maintenance. This paper also presents the asset replacement alternatives. This paper also presents the cost-benefit analysis of asset management using the information/real time data from the utility company. This paper will serve a guide for doing the asset management to the electrification  process, investment and  recovery to sustain reliable and efficient power delivery.
How does technological parameters impact the static current gain of InP-based Single Heterojunction Bipolar Transistor?
Authors: Ouchrif Jihane , Baghdad Abdennaceur , Sahel Aicha , Badri Abdelmajid , Ballouk Abdelhakim
Published: June 2020

In telecommunication systems, Heterojunction Bipolar Transistors (HBTs) are used extensively due to their good electrical characteristics. The work presented in this paper aims to enhance the electrical performance of the InP / InGaAs Single Heterojunction Bipolar Transistor (SHBT) in terms of the static current gain β. Silvaco’s TCAD tools were used for the simulation of the output characteristics of the studied electronic device. Initially, we used the interactive tool Deckbuild to define the simulation program and the device editor DevEdit to design the device structure, and we also used the simulator Atlas which allows the prediction of the electrical characteristics of most semiconductor devices. Because of several phenomena occuring within the electronic device SHBT, we added some physical models included in the simulator such as SRH, BBT.STD. Afterwards, we investigated the influence of doping concentrations of the base and the collector Nb and Nc on the electrical performance of the InP/InGaAs SHBT, and particularly in terms of the static current gain β. Finally, based on optimal values of the selected parameters, we have defined an optimized device that has a highest current gain β.
Smart monitoring system for pressure regulator based on IOT
Authors: Ali Aktham Hasan , Duhis Ahmed Hussein , Alzurfi Nabeel Aad Lafta , Mnati Mohannad Jabbar
Published: June 2020

In the last years, the interconnection of everyday instruments with internet using internet of thinks (IOT), is widely used as a monitoring and controlling in engineering as in smart cities, environmental, others. In this paper, a remote monitoring system of a pressure regulator is developed through an internet of thinks (IOT) communication tool, using MATLAB® programming platforms. The development of monitoring system for acquisition and communication corresponds to the NodeMCU as a microcontroller with ESP8266 for Wi-Fi connected. This system allows to monitor the reference of the pressure regulator and monitor the information of the transducers machine of the plant. Among the advantages of this type of development is that the server is free, and the development system is low cost, also with this type of projects can strengthen the infrastructure of laboratory equipment in engineering to be controlling in a way remote.
Bessel Beams and Gaussian Beams as information carriers in free space optical interconnects systems: A comparison study
Authors: Alababneh Nedal K
Published: June 2020

We introduce a comparison study for the performance of a lens-based   free space optical interconnects system assuming Bessel Beams and Gaussian Beams as information carriers.  The optical field at the detector plane was derived for the two beam profiles. In both cases the expressions for the output optical filed are expressed in terms of complex Gaussian functions. The performance of the system for the two beams is evaluated and compared. Using simulation results we show that the use of Bessel beam gives superior results to that of using Gaussian beam for large interconnects distance.
Frequency reconfigurable antennas for cognitive radio applications: a review
Authors: Cleetus Ros Marie C , Bala Dr. G. Josemin
Published: June 2020

Wireless communication systems undergo tremendous growth these days and devices able to operate in a number of frequencybandsarehighlydemanded. Reconfiguration in antenna characteristic striggered the evolution of antennas that can workin multiple frequency, pattern or polarization environment.The frequency reconfigurable antennas thuse mergedarewell suited in Cognitive Radios which take part in the effective utilization of unused bands of frequencies by continuously interacting with the RF environment. Thus, Cognitive Radios enhancetheutilization of frequency spectrum and establish reliable communication. The most recent research works carried out in the arena of Frequency Reconfigurable Antennas for Cognitive Radio applications are reviewed and summed up in this paper to present the attributes and categorization. Four techniques adopted to attain frequency reconfiguration are extensively compared in this paper to find the advantages and constraints of each methodology. The applications of the works reviewed here are not only limited to Cognitive radios, but extended to a number of wireless communication services like, WLAN, WiMAX, etc
1.25 GHz – 3.3 GHz broadband solid state power amplifier for L and S bands applications
Authors: Ribate Mohamed , Mandry Rachid , Zbitou Jamal , El Abdellaoui Larbi , Errkik Ahmed , Latrach Mohamed
Published: June 2020

The research of a single stage broadband solid-state power amplifier based on ATF13876 transistor, which operates in the frequency ranging from 1.25 GHz ~3.3 GHz is presented in this paper. To achieve the broadband performance of the operating bandwidth, a multi-section quarter wave impedance transformer and an approximate transformation of previously synthesized lumped elements into transmission lines are adopted. With neatly design of broadband matching networks and biasing circuit, excellent matching performances and unconditionally stability are achieved over the whole operating bandwidth with a maximum gain of 17.2 dB. The large signal simulation shows that the proposed circuit reaches a saturated output power of 18.12 dBm with a maximum PAE of 27.55% and a 1-dB compression point at 5 dBm input power level. Considering the wide frequency coverage, the features of the proposed design compares favorably with the contemporary state-of-the-art.
Estimation of regression-based model with bulk noisy data
Authors: Jittawiriyanukoon Chanintorn
Published: June 2020

The bulk noise has been provoking a contributed data due to a communication network with a tremendously low signal to noise ratio. An appreciated method for revising massive noise of individuals through information theory is widely discussed. One of the practical applications of this approach for bulk noise estimation is analyzed using intelligent automation and machine learning tools, dealing the case of bulk noise existence or nonexistence. A regression-based model is employed for the investigation and experiment. Estimation for the practical case with bulk noisy datasets is proposed. The proposed method applies slice-and-dice technique to partition a body of datasets down into slighter portions so that it can be carried out. The average error, correlation, absolute error and mean square error are computed to validate the estimation. Results from massive online analysis will be verified with data collected in the following period. In many cases, the prediction with bulk noisy data through MOA simulation reveals Random Imputation minimizes the average error.
An adaptive wavelet transformation filtering algorithm for improving road anomaly detection and characterization in vehicular technology
Authors: Bello-Salau Habeeb , Onumanyi A. J. , Sadiq B. O. , Ohize H. , Salawudeen A. T. , Aibinu A. M.
Published: June 2020

Accelerometers are widely used in modern vehicular technologies to automatically detect and characterize road anomalies such as potholes and bumps. However, measurements from an accelerometer are usually plagued by high noise levels, which typically increase the false alarm and misdetection rates of an anomaly detection system. To address this problem, we have developed in this paper an adaptive threshold estimation technique to filter accelerometer measurements effectively to improve road anomaly detection and characterization in vehicular technologies. Our algorithm decomposes the output signal of an accelerometer into multiple scales using wavelet transformation (WT). Then, it correlates the wavelet coefficients across adjacent scales and classifies them using a newly proposed adaptive threshold technique. Furthermore, our algorithm uses a spatial filter to smoothen further the correlated coefficients before using these coefficients to detect road anomalies. Our algorithm then characterizes the detected road anomalies using two unique features obtained from the filtered wavelet coefficients to differentiate potholes from bumps. The findings from several comparative tests suggest that our algorithm successfully detects and characterizes road anomalies with high levels of accuracy, precision and low false alarm rates as compared to other known methods.
Trust model genetic node recovery based on cloud theory for underwater acoustic sensor network
Authors: T Buddesab , J Thriveni , K R Venugopal
Published: June 2020

Underwater Acoustic Sensor Networks [UASNs] are becoming a very growing research topic in the field of WSNs. UASNs are harmful by many attacks such as Jamming attacks at the physical layer, Collision attacks at the data link layer and Dos attacks at the network layer. UASNs has a unique characteristic such as unreliable communication, mobility, and computation of underwater sensor network. Because of this the traditional security mechanism, e.g. cryptographic, encryption, authorization and authentications are not suitable for UASNs. Many trust mechanisms of TWSNs [Terrestrial Wireless Sensor Networks] had proposed to UASNs and failed to provide security for UASNs environment, due to dynamic network structure and weak link connection between sensors. In this paper, a novel Trust Model Genetic Algorithm based on Cloud Theory [TMC] for UASNs has been proposed. The TMC-GA suggested a genetic node recovery algorithm to improve the TMC network in terms of better network lifetime, residual energy and total energy consumption. Also ensures that sensor nodes are participating in the rerouting in the routing discovery and performs well in terms of successful packet delivery. Simulation result provides that the proposed TMC-Genetic node recovery algorithm outperforms compared to other related works in terms of the number of hops, end-to-end delay, total energy consumption, residual energy, routing overhead, throughput and network lifetime.
Projectile-target search algorithm: a stochastic metaheuristic optimization technique
Authors: Hiendro Ayong
Published: June 2020

This paper proposes a new stochastic metaheuristic optimization algorithm which is based on kinematics of projectile motion and called projectile-target search (PTS) algorithm. The PTS algorithm employs the envelope of projectile trajectory to find the target in the search space. It has 2 types of control parameters. The first type is set to give the possibility of the algorithm to accelerate convergence process, while the other type is set to enhance the possibility to generate new better projectiles for searching process. However, both are responsible to find better fitness values in the search space. In order to perform its capability to deal with global optimum problems, the PTS algorithm is evaluated on six well-known benchmarks and their shifted functions with 100 dimensions. Optimization results have demonstrated that the PTS algoritm offers very good performances and it is very competitive compared to other metaheuristic algorithms
Analytical modelling solution of producer mobility support scheme for named data networking
Authors: Hussaini Muktar , Nor Shahrudin Awang , Ahmad Amran
Published: June 2020

Named Data Networking (NDN) is a clean-slate future Internet architecture proposed to support content mobility. However, content producer mobility is not supported fundamentally and faces many challenges such as, high handoff latency, signaling overhead cost and unnecessary Interest packet losses. Hence, many approaches indirection-based approach, mapping-based approach, locator-based approach and control/data plane-based approach were proposed to address these problems. Mapping-based and control/data plane-based approach deployed servers for name resolution serveces to provide optimal data path after handoff, but introduces high handoff latency and signalling overhead cost. Indirection-based and locator-based approach schemes provide normal handoff delay, but introduces sub-optimal or tiangular routing path. Therefore, there is needs to provide substantial producer mobility support that minimizes the handoff latency, signaling cost and improve data packets delivery via optimal path once a content producer relocates to new location. This paper proposed a scheme that provides optimal data path using mobility Interest packets and broadcasting strategy. Analytical investigation result shows that our proposed scheme outperforms existing approaches in terms of handoff latency, signaling cost and path optimization.
Enhancing the performance of cascaded three-level VSC STATCOM by ANN controller with SVPWM integegration
Authors: Almelian Mohamad Milood , Mohd Izzeldin. I. , Ahmad Abu Zaharin , Salem Mohamed , Omran Mohamed A. , Jusoh Awang , Sutikno Tole
Published: June 2020

This article presents a cascaded three-level voltage source converter (VSC) based STATCOM employing an artificial neuron network (ANN) controller with a new simple circuit of space vector pulse width modulation (SVPWM) technique. The main aim of utilizing ANN controller and SVPWM technique is to minimize response time (RT) of STATCOM and improve its performance regard to PF amplitude, and total harmonic distortion (THD) of VSC output current during the period of lagging/leading PF loads (inductive/capacitive loads). The performance of STATCOM is tested using MATLAB/SIMULINK in IEEE 3-bus system. The simulation results clearly proved that the STATCOM with intelligent controller is more efficient compared to a conventional controller (PI controller), where ANN enables the voltage and current to be in the same phase rapidly (during 1.5 cycles) with THD less than 5%.
Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes
Authors: Feeny Albert K. , Rickard John , Trulock Kevin M. , Patel Divyang , Toro Saleem , Moennich Laurie Ann , Varma Niraj , Niebauer Mark J. , Gorodeski Eiran Z. , Grimm Richard A. , Barnard John , Madabhushi Anant , Chung Mina K.
Published: June 2020

Background:

Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has significant nonresponse rates, highlighting limitations in ECG selection criteria: QRS duration (QRSd) ≥150 ms and subjective labeling of left bundle branch block (LBBB). We explored unsupervised machine learning of ECG waveforms to identify CRT subgroups that may differentiate outcomes beyond QRSd and LBBB.

Methods:

We retrospectively analyzed 946 CRT patients with conduction delay. Principal component analysis (PCA) dimensionality reduction obtained a 2-dimensional representation of preCRT 12-lead QRS waveforms.
k
-means clustering of the 2-dimensional PCA representation of 12-lead QRS waveforms identified 2 patient subgroups (QRS PCA groups). Vectorcardiographic QRS area was also calculated. We examined following 2 primary outcomes: (1) composite end point of death, left ventricular assist device, or heart transplant, and (2) degree of echocardiographic left ventricular ejection fraction (LVEF) change after CRT.

Results:

Compared with QRS PCA Group 2 (
n
=425), Group 1 (
n
=521) had lower risk for reaching the composite end point (HR, 0.44 [95% CI, 0.38–0.53];
P
<0.001) and experienced greater mean LVEF improvement (11.1±11.7% versus 4.8±9.7%;
P
<0.001), even among patients with LBBB with QRSd ≥150 ms (HR, 0.42 [95% CI, 0.30–0.57];
P
<0.001; mean LVEF change 12.5±11.8% versus 7.3±8.1%;
P
=0.001). QRS area also stratified outcomes but had significant differences from QRS PCA groups. A stratification scheme combining QRS area and QRS PCA group identified patients with LBBB with similar outcomes to non-LBBB patients (HR, 1.32 [95% CI, 0.93–1.62]; difference in mean LVEF change: 0.8% [95% CI, −2.1% to 3.7%]). The stratification scheme also identified patients with LBBB with QRSd <150 ms with comparable outcomes to patients with LBBB with QRSd ≥150 ms (HR, 0.93 [95% CI, 0.67–1.29]; difference in mean LVEF change: −0.2% [95% CI, −2.7% to 3.0%]).

Conclusions:

Unsupervised machine learning of ECG waveforms identified CRT subgroups with relevance beyond LBBB and QRSd. This method may assist in objective classification of bundle branch block morphology in CRT.
Single-Molecule Localization of the Cardiac Voltage-Gated Sodium Channel Reveals Different Modes of Reorganization at Cardiomyocyte Membrane Domains
Authors: Vermij Sarah H. , Rougier Jean-Sébastien , Agulló-Pascual Esperanza , Rothenberg Eli , Delmar Mario , Abriel Hugues
Published: June 2020

Background:

Mutations in the gene encoding the cardiac voltage-gated sodium channel Na
v
1.5 cause various cardiac arrhythmias. This variety may arise from different determinants of Na
v
1.5 expression between cardiomyocyte domains. At the lateral membrane and T-tubules, Na
v
1.5 localization and function remain insufficiently characterized.

Methods:

We used novel single-molecule localization microscopy and computational modeling to define nanoscale features of Na
v
1.5 localization and distribution at the lateral membrane, the lateral membrane groove, and T-tubules in cardiomyocytes from wild-type (N=3), dystrophin-deficient (
mdx
; N=3) mice, and mice expressing C-terminally truncated Na
v
1.5 (ΔSIV; N=3). We moreover assessed T-tubules sodium current by recording whole-cell sodium currents in control (N=5) and detubulated (N=5) wild-type cardiomyocytes.

Results:

We show that Na
v
1.5 organizes as distinct clusters in the groove and T-tubules which density, distribution, and organization partially depend on SIV and dystrophin. We found that overall reduction in Na
v
1.5 expression in
mdx
and ΔSIV cells results in a nonuniform redistribution with Na
v
1.5 being specifically reduced at the groove of ΔSIV and increased in T-tubules of
mdx
cardiomyocytes. A T-tubules sodium current could, however, not be demonstrated.

Conclusions:

Na
v
1.5 mutations may site-specifically affect Na
v
1.5 localization and distribution at the lateral membrane and T-tubules, depending on site-specific interacting proteins. Future research efforts should elucidate the functional consequences of this redistribution.
Direct Oral Anticoagulant Use: A Practical Guide to Common Clinical Challenges
Authors: Chen Ashley , Stecker Eric , A. Warden Bruce
Published: June 2020

Direct oral anticoagulants (
DOAC
s) have quickly become attractive alternatives to the long‐standing standard of care in anticoagulation, vitamin K antagonist.
DOAC
s are indicated for prevention and treatment of several cardiovascular conditions. Since the first approval in 2010,
DOAC
s have emerged as leading therapeutic alternatives that provide both clinicians and patients with more effective, safe, and convenient treatment options in thromboembolic settings. With the expanding role of
DOAC
s, clinicians are faced with increasingly complex decisions relating to appropriate agent, duration of treatment, and use in special populations. This review will provide an overview of
DOAC
s and act as a practical reference for clinicians to optimize
DOAC
use among common challenging scenarios. Topics addressed include (1) appropriate indications; (2) use in patients with specific comorbidities; (3) monitoring parameters; (4) transitioning between anticoagulant regimens; (5) major drug interactions; and (6) cost considerations.
Enhancing Financial Connectivity Between Asia and Europe: Implications for Infrastructure Convergence Between the Two Regions
Authors: Yoshino Naoyuki , Hossain Monzur , Taghizadeh-Hesary Farhad
Published: June 2020

This paper explores the methods and policies that could enhance the financial connectivity between Europe and Asia in infrastructure investments. We argue that if Asian governments agree to enter into a long-term repayment commitment with a share of spillover tax revenues of public infrastructure projects under a regulatory framework, it could attract European long-term institutional funds in Asia's infrastructure projects. This approach will reduce divergence in infrastructure between the two regions and encourage regional connectivity. With some empirical evidence, this paper highlights the operational risks and methods of sharing spillover revenue for infrastructure projects.
Longitudinal variation in national research publication portfolios: Steps required to index balance and evenness
Authors: Adams Jonathan , Rogers Gordon , Smart Warren , Szomszor Martin
Published: June 2020

National research diversity is explored through the balance of global and national papers in journal categories in the Web of Science (WoS) and Essential Science Indicators (ESI) and we examine the consequences of “normalizing” national publication counts against global baselines. Global balance across subject categories became more even as annual WoS indexing grew fourfold between 1981 and 2018, with a relative shift from biomedicine towards environment and technology. Change at the country level may have tracked this or been influenced by local policy and funding. We discuss choice of methods and indices for analysis: WoS categories provide better granularity than ESI; Lorenz curves are explored but found limiting; the Pratt index, Gini coefficient, and Shannon diversity are compared. At the national level, balance generally increases and is greatest in non-Anglophone countries, perhaps due to shifts in language and journal use. Two aspects of national change are revealed: the balance of actual WoS paper counts and the balance of counts normalized against world baseline. The broad patterns for these analyses are similar, but normalized data indicate relatively greater evenness. National patterns link to research capacity and regional networking opportunities, while international collaboration may blend national differences. A data set is provided for analytical use.
Babies and Building Blocks: A Re-constructive Reading of God’s Household in 1 Peter in light of the Absent Child
Authors: Lindeman Allen Amy
Published: June 2020

This essay re-reads 1 Peter’s Haustafel from a childist perspective, concerned with children both absent and present. It re-imagines 1 Peter’s Haustafel as a model for the Christian family based on growth and interdependence, rather than power and submission. In this model, God is paterfamilias, mimicking patriarchy in order to bring about a reversal in which elders imitate infants. This is argued in three parts: (1) attending to children and the ideologies that govern their relationships; (2) uniting the metaphors of infants and building blocks; and (3) re-imagining an alternate model of household relationships.
Kuntilanak
Authors: Duile Timo
Published: June 2020

Kuntilanak is an icon of pop culture well known in several nations in Southeast Asia. While the female vampire is the subject of horror films and novels, people in Pontianak, West Kalimantan, claim that the city was founded by evicting Kuntilanak, who inhabited the confluence of the Kapuas and Landak rivers before the city was built. This article examines narratives on Kuntilanak, comparing it with other spirit perceptions found among Dayak in West Kalimantan. It suggests that the horror of that terrifying ghost is the price people had to pay for conceptualizing nature in accordance with Islamic Malay modernity. Referring to Critical Theory approaches, it is argued that the hostility and horror of Kuntilanak are expressions of a specific mode of enlightenment in the widest sense of the term, that is, an effort to conceptualize nature in order to rule over it. Nature thus emerges in opposition to the civilized, Muslim societies (masyarakat madani) of Malay coastal towns.
A Framework for Creation of Anomalous Motion Pictures
Authors: Sugihara Kokichi
Published: June 2020

There is a class of visual illusions in which still pictures appear to move at random. We review the human visual system and existing mathematical models for this class of illusions, and use this information to formulate a framework of drawing rules with which anyone can create similar illusions. The validity of the framework is confirmed with examples.
Conjectures and Controversy in the Study of Fundamentalism
Authors: Williamson W. Paul
Published: June 2020

Although psychology of religion has amassed a significant empirical literature on religious fundamentalism, it largely has ignored the sociohistorical context within which Protestant fundamentalism arose and has relied uncritically upon such popular notions as militancy, anti-modernism, and global fundamentalism in much of its research. This monograph will critically review sociohistorical reconstructions of fundamentalism that have heavily influenced the views of society and psychologists; discuss problematic concepts that emerged from those reconstructions; and highlight theories based on the social dynamics of fundamentalism. Focus on these issues will underscore the need for a critical review of empirical research, which is reserved for a second monograph.
Photobiomodulation Decreases Fatigue of the Wrist Extensors: Electromyographic and Dynamometric Analysis
Authors: Souza Vitor , Guirro Rinaldo , Kuriki Heloyse , de Carvalho Gabriela , Marcolino Alexandre , Barbosa Rafael
Published: June 2020

This study analyzed the effects of photobiomodulation, on wrist extensor muscles when applied before a fatigue protocol. Twenty-eight men participated in a crossover, blinded, and controlled trial. Subjects performed grip dynamometry associated with superficial electromyography of the
extensor carpi radialis, extensor carpi ulnaris, and flexor digitorum superficialis, which was used to evaluate muscle recruitment pattern by median frequency. The initial assessment was performed with a onerepetition maximum test. Twenty-four hours later the allocation was performed in two
moments, and randomization was initially performed with 28 volunteers, divided between the two groups: control group, and the Low-Level Laser Therapy (30 mW, 0.06 cm2, 20 J/cm2, 1.2 J per point, and total energy of 10.8 J). Median frequency demonstrated Extensor Carpi
Ulnaris fatigue in the control group as well as when compared after the fatigue protocol in the laser group. Exhaustion time was greater in the laser group and the fatigue protocol was effective at decreasing grip strength, with significant difference in the control group (p < 0.05). After
the fatigue protocol, Low-Level Laser Therapy was effective in maintaining grip strength to increase exhaustion time and does not promote alterations in Median Frequency behavior at wrist extensor muscles.
Fractal and Multifractal Analyses of the Porosity Degree of Ceramics Used in Biomedicine
Authors: Sapota Wiktoria , Szczepanik Patrycja , Stach Sebastian , Wróbel Zygmunt
Published: June 2020

Designing a new generation of biomaterials is based on the assumption that the appropriate chemical composition of a material, the chemical state of its surface and the surface structure in nanoand micrometer scales are the elements which selected in a planned way decide on the type
of cellular response to the material. The use of quantitative fractography enables a quantitative description of the surface. The parameter most frequently used in surface stereometry is the area development coefficient Sdr. Attempts are being made to use other tools for determining additional
parameters. One of them may be fractal analysis, in which fractal dimension D is the measure of surface complexity. For the purposes of the study, comparative fractal and multifractal analyses of images showing porous surfaces of Al2O3 ceramic coatings were performed.
The analyses were carried out for three lenses, namely 20×, 50× and 100×, and the impact of magnification (scale properties) on the obtained results was examined.
Design of a Unique Unimorph and Bimorph Cantilever Energy Harvesting System
Authors: Batra Ashok , Alomari Almuatasim , Sampson James , Bandyopadhyay Alak , Aggarwal Mohan
Published: June 2020

Piezoelectric energy conversion has received considerable attention for vibration-to-electric energy conversion over the past decade. A typical piezoelectric energy harvester is a unimorph or a bimorph cantilever located on a vibrating host structure. This paper presents a comparison
between unimorph and bimorph cantilever beam having a number of segmented PMN-PT piezo-elements on the input and output power. The numerical simulation was carried out by applying the finite element analysis (FEA) using COMSOL multi-physics software in order to predict output voltage and power
over a frequency range of 60–200 Hz for the first resonant frequencies. The simulation results show maximum output voltage and power harvested of 7.38 V and 135.73 μW, respectively, by the unimorph piezoelectric energy harvester at resonant frequency value of 84 Hz with electromechanical
coupling factor (ke) of 77.29%. These results highlight that the highest value of the output electrical power can be obtained when the piezoelectric element is attached on the top of a clamped end of a cantilever piezoelectric beam. Moreover, in an unimorph or bimorph cantilever beam
system, increasing the number of piezoelectric elements results in a higher resonant frequency shift and significantly decreasing in the harvested power.
A Study on Degree of Approximation by Product Means of the Fourier Series in a W (Lr, ξ(t))( r ≥ 1) Class
Authors: Jauhari Aradhana Dutt
Published: June 2020

The purpose of present paper is to approach a new result on degree of approximation of Fourier series of a function f ∈ W (Lr, ξ(t)) class by C2Tn product summability. So many work have been done for approximation
of Fourier series and its conjugate series but this work is yet not seen for (C2Tn) product summability.
A New Approach for Partial Discharge Modeling in High Voltage Cables Considering Nonlinear Permittivity Using Finite Element Method
Authors: Shemshadi Asaad , Khorampour Pourya
Published: June 2020

Herein, we report a novel technique to develop remote assessment and observation for partial discharge events under high voltage cable systems output. Finite element modeling of the cavities bided in the insulators which are the source of Partial Discharge signals occurred in a 3-d
section of a typical 230 KV high voltage XLPE 3-phase cable. All electromagnetic related equations are solved using FEM software. The idea is to consider the permittivity constant in cavities as a nonlinear function during the solving process. This function is related to electric field value
inside each cavity. This modeling leads to a new approach in simple modeling of PD phenomena in the H. V. apparatus with the big amount of destructive PD cavities. In continue, the obtained waveform is illustrated respecting to the main power line waveform.
Tunable Photoluminescence of ZnO Nanowire Arrays via Native Defects
Authors: Liu Liqing , Ju Wei , Li Yongtao , He Xuemin , Zhang Hongguang , Chu Liang
Published: June 2020

Natural ZnO nanomaterials have abundant oxygen vacancies which has great influence on the physical properties. Here, the ZnO nanowire arrays (ZNAs) have been obtained using microwave heating method. These samples' photoluminescence (PL) properties were studied under different annealing
conditions. The field emission scanning electron microscope (SEM) image shows that the vertically aligned ZNAs basically have the same morphology after annealing at different times. X-ray diffraction (XRD) spectra demonstrate the best crystallization when the sample was annealed at 400 °C
for 2 hours. Photoluminescence pattern indicates that the near-band-edge (NBE) emission is stronger with increasing annealing times, however, the defect-related emission decreases with the annealing times. This result indicates that crystallization of ZnO nanowires can be improved and the
defects can decrease by annealing and the crystallization of the sample is wonderful at 400 °C for 2 h annealing. Meanwhile, adjusting photoluminescence characterizes through annealing can provide the basis for application of ZnO in photoelectric device.
Photoelectric Characteristics of Rare Earth Element Er Doped Molybdenum Selenide Thin Films
Authors: Ma Xiying , Xu Cheng , Zhang Qiang , Shi Weilin
Published: June 2020

The preparation and the photoelectric characteristics of molybdenum selenide (MoSe2) films doped with the rare earth element Er3+ are presented herein. The surface mororphology, light absorption and emission of the undoped and Er3+ doped MoSe2
thin films were analyzed, we found that the Er3+ doped MoSe2 films exhibited more crystalline, and their mobility and conductivity were enhanced by about one order higher relative to that of the pure sample. Also, the optical absorptivity and luminous intensity of Er3+
doped MoSe2 were also enhanced by two times than that of the pure MoSe2. In addition, the photovoltaic effect of the Er3+-doped MoSe2 films increased significantly. The short-circuit current increased almost ten-fold, and the open-circuit voltage
was enhanced four-fold. These results show that the Er3+ ions not only enhanced the conductivity, but also improved the optical properties of the films. The Er3+ doped MoSe2 may be applied to make sensitive light emitting devices and detectors.
Fault Tolerant Reversible Gate Based Sequential Quantum Dot Cellular Automata Circuits: Design and Contemplation
Authors: Singh Rupali , Sharma Devendra Kumar
Published: June 2020

In the era of quantum computing, Quantum Dot Cellular Automata (QCA) is a phenomenal technology which can produce low power, high speed and area efficient circuits. On the other hand, reversible logic is a promising paradigm which is used to construct low power circuits. This paper
presents a design of a unique reversible gate based on QCA. This gate can facilitate the design of complex, cost efficient sequential circuits. The proposed gate is examined for various performance parameters such as realization of standard Boolean functions, cost function, energy dissipation
and fault characterization. It is observed that the proposed gate exhibits superior performance as compared to the previously reported cost efficient designs in all the performance parameters. Furthermore, to evaluate the efficacy of the proposed QCA gate, reversible sequential latches are
designed. The proposed structures of latches excel over the similar existing designs and have shown 50% improvement in latency, 58% improvement in effective cell area and around 70% improvement in cost function. The proposed latches are further investigated for temperature alterations to find
the operating range of temperature for the circuits. The reversible QCA gate, proposed in this paper can be effectively used to design D latch, T latch, JK latch with improved performance. Hence, the proposed gate can find extensive scope in designing cost effective, low power, reversible
sequential and combinational circuits.
Effects of BiScO3 Doping on the Phase Structure, Ferroelectric, Energy Storage, Strain, and Dielectric Properties of Bi0.5Na0.5TiO3 Ceramics
Authors: Sun Yabin , Wang Hua , Liu Guobao , Xie Hang , Yang Ling , Zhou Changrong , Chen Guohua , Yuan Changlai , Xu Jiwen
Published: June 2020

In this study, (1–x)Bi0.5Na0.5TiO3– xBiScO3 (BNT–xBS) ceramics were synthesized via conventional solidstate reaction sintering. The effects of the BiScO3 content on the surface microstructure,
energy storage, strain, and dielectric properties of BNT–xBS ceramics were systemically investigated. Results indicated that the phase structure of BNT–xBS ceramics transformed from the rhombohedral phase into the pseudo-cubic phase. As the increasing BiScO3
content, the average grain size decreased. BiScO3 destroyed the long-range ordered ferroelectric phase, enhancing relaxor behavior. Energy storage density initially increased and then decreased, reaching a maximum of 0.17 J/cm3 at x = 0.1. In addition, the maximum
energy storage efficiency was 59% at x = 0.2. The BiScO3 content significantly affected the electrical properties of BNT– xBS ceramics.
Bias-Dependent Magnetoresistance Device Based on a Magnetically Confined GaAs/AlxGa1– xAs Heterostructure
Authors: Liang Dong-Hui , Lu Mao-Wang , Huang Xin-Hong , Huang Meng-Rou , Cao Zeng-Lin
Published: June 2020

We apply a bias to a magnetoresistance (MR) device, which is constructed on surface of GaAs/AlxGa1– xAs heterostructure by patterning two asymmetric ferromagnetic stripes. Using improved transfer matrix method and Landauer–Büttiker
theory, bias-dependent transmission, conductance and magnetoresistance ratio are calculated numerically. An obvious MR effect appears, because of a significant difference of transmission or conductance between parallel (P) and antiparallel (AP) magnetization configurations. MR ratio can be
tuned by adjusting magnitude or direction of applied bias. These interesting features not only propose an alternative way to control MR effect, but also put forward an electrically-tunable MR device for magnetic information storage.
Contextualizing Well-Being for Entrepreneurship
Authors: Pathak Saurav
Published: June 2020

Entrepreneurship is important in economic growth and development. This study explores the likelihood that societal-level well-being and country-level self-expression values positively influence individual entrepreneurship across countries. Self-expression values mediate and reinforce the effect of societal well-being on entrepreneurship. Well-being is not simply an individual-level expression of positive emotions or an individual’s accumulated human capital alone. It is also a country’s stock of psychological as well as social resource and a macrolevel culture-specific emotion supporting entrepreneurship. This study provides a multidimensional approach to exploring the effects of societal well-being and country-level self-expression values on entrepreneurship. The proposed conceptual model uses three theoretical propositions to delineate an indirect effect of societal well-being mediated through country-level self-expression values. The study also compiles measures of societal well-being terms from secondary data sets for use in cross-country comparative empirical research into entrepreneurship.
Digital Artifacts in Industrial Co-creation: How to Use VR Technology to Bridge the Provider-Customer Boundary
Authors: Kostis Angelos , Ritala Paavo
Published: June 2020

Industrial co-creation projects are often complex and ambiguous, involving high levels of interpretive uncertainty over processes and outcomes. To boost the effectiveness of such projects, firms have increasingly adopted virtual reality (VR) technology and have experienced unique benefits by utilizing digital artifacts—interactive objects in digital environments, such as factory installation layouts or design visualizations. This article provides case evidence demonstrating how VR-enabled digital artifacts support firms to effectively implement tailor-made solutions in robotics and automation projects. The adoption of new digital co-creation practices redefines the traditional customer-provider roles in industrial co-creation, increasing engagement, reducing uncertainty, and improving project outcomes.
Reframing Assessment as Relational: How Do Teachers of Incarcerated Youth Understand Assessment?
Authors: Someki Fumio , Allen David
Published: June 2020

This study examines how teachers of incarcerated youth conceptualize the purposes for assessment for the students they serve, as well as challenges in assessing students and using assessment data. As a case study of a high school within a maximum-security juvenile detention facility, it includes interviews with teachers, administrators, and a social worker; meetings with a team of teachers; and review of materials related to student assessment. The study found that teachers encounter student-level challenges, structural challenges, and assessment-specific challenges. Teachers view assessment as most effectively carried out through conversations with individual students. They are skeptical of the standardized individual assessments the school has adopted and the assessment data with which they are provided. The study concludes that teachers’ emphasis on relationships with students can contribute to effective assessment of students’ knowledge and skills; however, this will require selection of appropriate assessment instruments and professional development in using them effectively.