bluuebunny/crossref_metadata_2025 huggingface dataset:
Skyrmion propagation along curved racetracks
Authors: Carvalho-Santos V. L. , Castro M. A. , Salazar-Aravena D. , Laroze D. , Corona R. M. , Allende S. , Altbir D.
Published: April 2021

The interplay between curvature and magnetization is a cornerstone in magnetism. Thus, in this work, we address the role of curvature on the propagation of magnetic skyrmions along a curved race track. Using a micromagnetic approach and simulations, we observed the creation of a curvature-induced force (CIF) that acts on the skyrmion while traveling along the track. We also show that curvature can stop the skyrmion if the current density is below a critical value. Above this limit, the skyrmion goes through the defect, a direct consequence of the CIF. Our results allow a better definition of the electric current needed for moving skyrmions along curved tracks.
Al0.68Sc0.32N Lamb wave resonators with electromechanical coupling coefficients near 10.28%
Authors: Esteves Giovanni , Young Travis R. , Tang Zichen , Yen Sean , Bauer Todd M. , Henry Michael D. , Olsson Roy H.
Published: April 2021

Aluminum scandium nitride (Al1−xScxN/AlScN) (x = 0.32) Lamb wave resonators (LWR) have been fabricated and tested to demonstrate electromechanical coupling coefficients (kt2) in excess of 10%. The resonators exhibited an average kt2 and unloaded quality factor (Qu) of 10.28% and 711, respectively, when calculated from the measured data. Applying the Butterworth Van-Dyke (BVD) model to the measured data enabled the extraction of the resonator's lumped element parameters to calculate the motional quality factor (Qm), which neglects the contributions of the electrical traces. For the best measured resonator response, results from the BVD model showed a Qm of 1184 and a resulting figure-of-merit (FOM = K2 · Qm) of 100. Comparing the response of similar AlScN and AlN resonators shows that the AlScN LWR has a significantly lower motional resistance (Rm), suggesting that AlScN has a strong potential for use in piezoelectric microelectromechanical oscillators.
Microfluidics-based quantum dot color conversion layers for full-color micro-LED display
Authors: Li Yang , Tao Jin , Wang Qiang , Zhao Yongzhou , Sun Yifang , Li Panyuan , Lv Jinguang , Qin Yuxin , Wang Weibiao , Zeng Qinghui , Liang Jingqiu
Published: April 2021

In this study, quantum dot color conversion layers (QDCCLs) for full-color micro-LED display were successfully fabricated using microfluidics to conduct red and green perovskite quantum dots to the position of the pixel array. The QDCCL with full-color pixel size of 200 × 200 μm and sub-pixel size of 140 × 50 μm was achieved. Perovskite quantum dots with high quantum yield and narrow full width at half-maximum were used to achieve a wide color gamut, which was 131% of National Television Systems Committee standard. The proposed microfluidics-based QDCCL featured easy fabrication, low cost, high performance, and good integration prospects.
Spatiotemporal patterns in a 2D lattice with linear repulsive and nonlinear attractive coupling
Authors: Shepelev I. A. , Muni S. S. , Vadivasova T. E.
Published: April 2021

We explore the emergence of a variety of different spatiotemporal patterns in a 2D lattice of self-sustained oscillators, which interact nonlocally through an active nonlinear element. A basic element is a van der Pol oscillator in a regime of relaxation oscillations. The active nonlinear coupling can be implemented by a radiophysical element with negative resistance in its current–voltage curve taking into account nonlinear characteristics (for example, a tunnel diode). We show that such coupling consists of two parts, namely, a repulsive linear term and an attractive nonlinear term. This interaction leads to the emergence of only standing waves with periodic dynamics in time and absence of any propagating wave processes. At the same time, many different spatiotemporal patterns occur when the coupling parameters are varied, namely, regular and complex cluster structures, such as chimera states. This effect is associated with the appearance of new periodic states of individual oscillators by the repulsive part of coupling, while the attractive term attenuates this effect. We also show influence of the coupling nonlinearity on the spatiotemporal dynamics.
Evaluation of edge domains in giant magnetoresistive junctions
Authors: Frost William , Seki Takeshi , Kubota Takahide , Ramos Rafael , Saitoh Eiji , Takanashi Koki , Hirohata Atsufumi
Published: April 2021

We demonstrate that the spin-Seebeck effect can be used to estimate the volume of edge domains formed in a giant magnetoresistive (GMR) device. The thermal gradient induced by Joule heating can be harnessed by the addition of a ferromagnetically insulating channel of Fe2O3 on the sides of the GMR pillar. This generates a spin wave in Fe2O3, which couples with the free-layer edge magnetization and controls the reversal of the ferromagnetic layers in one direction only, increasing the current density from (1.1±0.1)×107 A/cm2 to (7.0±0.5)×107 A/cm2. By simple assumption, we estimate the effect of the edge domain on magnetization reversal to be 10%–15% by spin-transfer torque.
Extension of Kirkwood–Buff theory to solids and its application to the compressibility of fcc argon
Authors: Miyaji Masafumi , Radola Bastien , Simon Jean-Marc , Krüger Peter
Published: April 2021

In fluids, the compressibility and related thermodynamic properties can be obtained from Kirkwood–Buff integrals (KBIs), i.e., infinite volume integrals over the radial distribution function (RDF). KBI theory has never been applied to crystals because the KBIs diverge when computed in the standard way as running integrals. Here, we show that KBI theory can be applied to solids without divergence, provided that the recently developed finite volume KBI method is used. In order to accelerate the integral convergence as a function of system size, we introduce a physically motivated convolution of the RDF. When using the convoluted RDF and an extrapolation of the finite-volume KBI, the zero-temperature KBI converges very fast to the exact value. We apply the theory to solid argon at finite temperatures. The RDF is computed with a Lennard-Jones potential using Monte Carlo and molecular dynamics simulations, and the isothermal compressibility κT is obtained from the KBI. The variation of κT with temperature agrees very well with experiment. The absolute value of κT is, however, underestimated by 40%–50%, which is attributed to finite size effects of the RDF obtained from molecular simulation. The error can be corrected by a single scaling factor that can be easily calculated at zero temperature. By extending Kirkwood–Buff solution theory to solids, this work lays a new framework for the thermodynamic modeling of complex structures, alloys, and solid solutions.
Aberrant epithelial polarity cues drive the development of precancerous airway lesions
Authors: Tilston-Lunel Andrew , Mazzilli Sarah , Kingston Nathan M. , Szymaniak Aleksander D. , Hicks-Berthet Julia , Kern Joseph G. , Abo Kristine , Reid Mary E. , Perdomo Catalina , Wilson Andrew A. , Spira Avrum , Beane Jennifer , Varelas Xaralabos
Published: April 2021

Significance

This study demonstrates that damage to lung epithelial architecture induces aberrant cellular signals that promote the development of precancerous airway lesions. These signals are mediated by the uncontrolled activation of the transcriptional effectors YAP and TAZ, which drive the expression of the growth factor NRG1 and the consequent activation of the ERBB receptors. Genetic deletion of YAP/TAZ or pharmacological inhibition of ERBB receptors prevents and treats precancer airway lesion development following epithelial damage, offering important knowledge that may guide therapeutic strategies for intercepting the development of squamous lung cancers.
Experimental test of a predicted dynamics–structure–thermodynamics connection in molecularly complex glass-forming liquids
Authors: Mei Baicheng , Zhou Yuxing , Schweizer Kenneth S.
Published: April 2021

Significance

The physical origin of cooperative activated relaxation in glass-forming liquids, which underlies the huge growth of viscosity and suppression of diffusion with cooling, remains elusive. Understanding this problem is of fundamental scientific interest and can assist in the design of new materials. We combine experimental relaxation time and equation-of-state data of molecular liquids to provide strong evidence for the recent theoretical prediction that activated relaxation, though causally driven by dynamically coupled cage-scale hopping and nonlocal collective elasticity quantified by local structural correlations, is well captured based on a thermodynamic description with dimensionless compressibility as the key variable. A mechanistic deduction is the crossover from fragile to strong (e.g., inorganic networks) relaxation behavior arises from the irrelevance of long-range elasticity effects.
Multigenerational exposure to warming and fishing causes recruitment collapse, but size diversity and periodic cooling can aid recovery
Authors: Wootton Henry F. , Audzijonyte Asta , Morrongiello John
Published: April 2021

Significance

The synergistic impacts of rapid climatic warming and fisheries harvest are threatening the sustainability of wild fisheries. Their collective impact on fish recruitment—a key process underpinning stock abundance—remains poorly understood. We experimentally exposed fish populations to realistic warming and fishing-selection regimes over multiple generations and found that warmed populations experienced a severe decline in recruitment rate. This warming-induced decline was exacerbated by size-selective fishery harvest. Once warming and size-selective fishing were relaxed, recruitment rates rapidly recovered. Our results suggest that synergistic impacts of fishing and warming can have delayed effects on stock resilience and that preserving fish body size diversity will help to increase their resilience to global warming.
Educational attainment does not influence brain aging
Authors: Nyberg Lars , Magnussen Fredrik , Lundquist Anders , Baaré William , Bartrés-Faz David , Bertram Lars , Boraxbekk C. J. , Brandmaier Andreas M. , Drevon Christian A. , Ebmeier Klaus , Ghisletta Paolo , Henson Richard N. , Junqué Carme , Kievit Rogier , Kleemeyer Maike , Knights Ethan , Kühn Simone , Lindenberger Ulman , Penninx Brenda W. J. H. , Pudas Sara , Sørensen Øystein , Vaqué-Alcázar Lídia , Walhovd Kristine B. , Fjell Anders M.
Published: April 2021

Education has been related to various advantageous lifetime outcomes. Here, using longitudinal structural MRI data (4,422 observations), we tested the influential hypothesis that higher education translates into slower rates of brain aging. Cross-sectionally, education was modestly associated with regional cortical volume. However, despite marked mean atrophy in the cortex and hippocampus, education did not influence rates of change. The results were replicated across two independent samples. Our findings challenge the view that higher education slows brain aging.
Static and dynamic postural stability of children girls engaged in modern dance
Authors: Marinkovic Dragan , Belic Aleksandra , Marijanac Ana , Martin‐Wylie Ellis , Madic Dejan , Obradovic Borislav
Published: April 2021

Background: Postural stability (PS) has an important role in many athletic activities. However, modern dance demands a heightened PS because of the required aesthetic quality and speed of movement. The aim of the present study was to compare the static and dynamic PS of young dancers and participants of other sporting activities.

Method: A total of 101 girls (age: 7.91 ± 0.7 year) were divided into a Dance group (N = 53) and a physically active Control group (N = 48). Static PS was assessed with a two‐leg standing test on a Force plate, and dynamic PS was assessed with a Körperkoordinationstest für Kinder (KTK) – a walking backwards test on a balance beam.

Results: Multivariate analysis of variance showed a general difference between the groups (F = 21.95; p ≤ 0.0001). In static PS, the Dance group was better in Total distance of center of pressure (COP) (p ≤ 0.0001; ES = −1.70), Anterior‐posterior oscillation (p ≤ 0.0001; ES = −1.40), Medial‐lateral oscillation (p ≤ 0.0001; ES = 1.75) and Length in function of surface (p ≤ 0.0001; ES = −0.98). Both parameters of dynamic stability, the KTK test (p ≤ 0.0001; ES = 1.28) and Motor quotients KTK test (p ≤ 0.0001; ES = 1.45), were significantly better in the Dance group.

Conclusion: The results from the present study indicate that children girls who participate mostly in dance develop better static and dynamic PS than children girls who participate in other sport activities. These findings underline the importance of training modification toward the improvement of PS in dance.
EURAMET supplementary comparison between INRiM, UME and PTB in Brinell hardness scales (HBW1/30 - HBW2.5/187.5) - EURAMET.M.H-S2.a.
Authors: Germak A , Kuzu C , Menelao F , Origlia C , Pelİt E
Published: April 2021

Main text

This report describes a EURAMET supplementary comparison in Brinell hardness scales of three national metrology institutes of Italy, Turkey and Germany; INRiM, UME and PTB, respectively. The pilot laboratory is INRiM in the comparison where two sets of hardness reference blocks for the Brinell Hardness scales of HBW1/30 and HBW2.5/187.5 were used. Each set of blocks consists of three hardness levels used for each of the two scales. The comparison was realized as planned in the Technical Protocol with some delay. The measurement results and uncertainty assessments declared by INRiM, UME and PTB are in consistency with each other.

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/.

The final report has been peer-reviewed and approved for publication by the CCM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Universal profiles for radio searches of Dark Matter in dwarf galaxies
Authors: Vollmann Martin
Published: April 2021

The phenomenology of diffuse radio emission from Dark Matter
annihilation or decay in dwarf spheroidal galaxies is examined. We
introduce (in the context of cosmic-ray physics) a novel strategy
for the computation of the relevant synchrotron signals. In
particular, we identify various regimes where, in analogy to prompt
gamma rays, the diffuse radio signal from dark matter
annihilation/decay can be expressed as the multiplication of a halo
times a spectral function. These functions are computed here for
the first time for a number of benchmark cases. Furthermore, we
find parameter regions in which the emissivity can be well
approximated by a universal function ∼ sin(π r/r
h)/r, where
r is the galacto-centric distance and r
h the diffusion-zone
radius of the galaxy. Our theoretical setup differs from previous
work in that, instead of employing a method-of-images strategy, we
consider a Fourier-mode expansion of the relevant Green's functions.
With this strategy, exact results can be obtained with very low
computational cost and for generic dark matter models. In
particular, 𝒪(10–100) Fourier modes can be easily
incorporated into the computations in order to probe the smallest
scales of the problem. We also propose a new strategy to search for
dark matter using radio observations of dwarf galaxies that is (1)
easy to implement and (2) free of the otherwise large degeneracies
in the description of synchrotron signals from dark matter.
Finally, we correct a mistake in a widely used Green's function
formula in this context. We show that the original expression leads
to systematically incorrect — and in some cases divergent —
results in the regime where the characteristic time-scale for
diffusion is smaller than that for energy losses.
Does Palatini Higgs inflation conserve unitarity?
Authors: McDonald J.
Published: April 2021

In the conventional metric formulation of gravity, the Higgs Inflation model violates unitarity in the electroweak vacuum in Higgs scattering at the energy scale Λ ∼ MPl
/ξ, where ξ ∼ 104 is the non-minimal coupling of the Higgs to the Ricci scalar. In the Palatini formulation it is commonly believed that Λ ∼ MPl
/√(ξ), where ξ ∼ 109. Here we reconsider unitarity violation in the electroweak vacuum in the Palatini formulation. We argue that there is no unitarity violation in Higgs scattering in the Palatini non-minimally coupled Standard Model in the electroweak vacuum at energies below the Planck scale. In this case Palatini Higgs Inflation completely conserves unitarity and is consistent at all energies up to those at which quantum gravity becomes important. If true, this would imply that Palatini Higgs Inflation has a significant advantage over metric Higgs Inflation.
Ultrabright γ-ray emission from the interaction of an intense laser pulse with a near-critical-density plasma*
Authors: Tursun Aynisa , Ali Bake Mamat , Xie Baisong , Niyazi Yasheng , Abudurexiti Abuduresuli
Published: April 2021

An efficient scheme for generating ultrabright γ-rays from the interaction of an intense laser pulse with a near-critical-density plasma is studied by using the two-dimensional particle-in-cell simulation including quantum electrodynamic effects. We investigate the effects of target shape on γ-ray generation efficiency using three configurations of the solid foils attached behind the near-critical-density plasma: a flat foil without a channel (target 1), a flat foil with a channel (target 2), and a convex foil with a channel (target 3). When an intense laser propagates in a near-critical-density plasma, a large number of electrons are trapped and accelerated to GeV energy, and emit γ-rays via nonlinear betatron oscillation in the first stage. In the second stage, the accelerated electrons collide with the laser pulse reflected from the foil and emit high-energy, high-density γ-rays via nonlinear Compton scattering. The simulation results show that compared with the other two targets, target 3 affords better focusing of the laser field and electrons, which decreases the divergence angle of γ-photons. Consequently, denser and brighter γ-rays are emitted when target 3 is used. Specifically, a dense γ-ray pulse with a peak brightness of 4.6 × 1026 photons/s/mm2/mrad2/0.1%BW (at 100 MeV) and 1.8 × 1023 photons/s/mm2/mrad2/0.1%BW (at 2 GeV) are obtained at a laser intensity of 8.5 × 1022 W/cm2 when the plasma density is equal to the critical plasma density n
c. In addition, for target 3, the effects of plasma channel length, foil curvature radius, laser polarization, and laser intensity on the γ-ray emission are discussed, and optimal values based on a series of simulations are proposed.
A Review of Artificial Intelligence in Serious Game for Public Health
Authors: Rafiq Abdul , Asmawaty Abdul Kadir Tuty , Normaziah Ihsan Siti
Published: April 2021

Serious games used in public health for purposes including training, learning, prediction, coaching, diagnostic, rehabilitation and supporting. However, the serious game focuses mainly on user experience and graphical application, but less attention on applying artificial intelligence (AI). By enhancing artificial intelligence, it will have the capability to solve issues, especially in the field of public health. This article discussed a review of the use of artificial intelligence in a serious game for public health. The main idea of this paper is to gather all the related articles and create a trend analysis of the use of Artificial Intelligence (AI) in a serious game for public health. The related articles were applied to Artificial intelligence (AI) in the area of decision-making. The final section discussed the new trend and the future of Artificial intelligence using current AI techniques.
The importance of safety learning to increase student awareness when working in laboratories in vocational education institutions
Authors: Amelia Afritha , Rahman Abdul , Nursiah  , Sitorus Nobert , Viyata Sundawa Bakti , Roslina
Published: April 2021

Laboratory is the most important instrument in vocational education. That is a place where student working in vocational education institution. Therefore, big attention for safety aspect becomes the priority. Students practiced under the risk. Thus, they needs safety and healthy in working environment, especially in laboratory. The identification of potential hazards and risks must be done in Laboratory. This study have assessed 5 of potential hazards and risks in Politeknik Negeri Medan laboratory by Likert Scale. This object was divided into 2 assessment, namely likelihood of hazards and severity of consequences. The data are collected based on questionnaire results that involving 100 students with random academic level. The result shows that the highest state is chemical hazards, which accounted for 73.2% in likelihood of hazards, meanwhile electrical hazards contributed of 85% in severity of consequences. These condition are classified as “high” state. The specific attention must be given to “high” state. The action plan table giving an information literacy to help us for determining mitigate action.
Sentiment analysis of GO-JEK services quality using Multi-Label Classification
Authors: Amalia A , Gunawan D , Nasution K
Published: April 2021

One of the most popular online transportation providers in Indonesia is GO-JEK. At the first establishment, GO-JEK is only an online taxi motorbike service (in Bahasa Indonesia: ojek) that transforms from a conventional taxi motorbike. After several years GO-JEK began to develop more services, like GO-FOOD, GO-SEND, GO-CAR, GO-MART, GO-RIDE, GO-PAY, GO-TIX, GO-BOX, and GO-MED. As the GO-JEK services develop into more categories, it is more challenging to automatically analyze the sentiment polarity for each category of services category. An ordinary classification algorithm or single-label classification is concerned with learning from a set of examples associated with a single label classification. However, in this case, we want to classify GO-JEK services based on two-class targets, which are GO-JEK service categories and polarity sentiment classification. This research methodology contains Dataset Preparation, Feature Selection, Basic text mining process, train, and split dataset, and Classification. We implemented two classification methods: Multi-Label Classification and a simultaneous classification using the Random Forest Algorithm as a comparison. Based on this dataset, the most mentioned GO-JEK service is GO-FOOD followed by GO-SEND, GO-RIDE, GO-CAR, and GO-MART. Based on the service category, GO-FOOD gets the most positive reviews following by GO-RIDE and GOJEK 90. Some service categories like GO-SEND and GO-MART get more negative reviews than positive reviews. The accuracy of the Multi-label classification method raised 76%. Simultaneous classification accuracy using the Random Forest algorithm produce for service category classification yields 97% and only 78% for sentiment polarity classification. We can see that both algorithm, multi-label classification, and Random Forest algorithm, yields almost the same classification accuracy for polarity sentiment classification. We can conclude that the imperfect accuracy in polarity sentiment classification is related to the difficulty of identifying the most suitable polarity for each tweet. Many sarcasm tweets and slang words that cannot be identified.
A Web Deployed Multi-Agent Based Approach for Student-Lecturer Appointment Scheduling in Institutions of Higher Learning
Authors: Bokolo Anthony , Peremoboere Maureen Gbefa , Abdul Majid Mazlina
Published: April 2021

Institutions of higher learning such as universities have been positively influenced by the internet which has facilitated learning and teaching. Likewise, this same internet can also support student lecturer appointments, but currently students and lecturers are faced with issues such as finding free timeslot, difficulty of students to meet supervisor and issues related to managing appointment operations. Therefore, this paper develops a multi-agent architecture and a web-based agent appointment scheduling system to support students and lecturers in managing appointment scheduling in universities. The agent-based appointment scheduling system was implemented as a web system integrated by multi-agents to facilitate students in finding available timeslot, resolving difficulty of students to meet supervisor and addressing difficult of managing scheduled appointment records by lecturers. The usefulness of the agent-based appointment scheduling system was evaluated by collecting data using questionnaire from randomly selected respondents. Furthermore, Statistical Package for the Social Science (SPSS) was employed to analyse the questionnaire data using descriptive and exploratory factor analysis. Findings from the survey reveal that the developed agent-based appointment scheduling system practically supports students and lecturers in scheduling appointments.
Determination of Giving ‘Tips’ Using Fuzzy Logic To Determine Restaurant Customer Service Satisfaction
Authors: Priyanto Dadang , Zarlis Muhammad , Anggrawan Anthony
Published: April 2021

Fuzzy logic can be used to represent obscurity based on terms such as high, old, hot, cold, and so on. Fuzzy logic can extend the range of truth values to all real numbers in intervals between 0 and 1. Numbers in this interval represent the possibility that the statement given is “true” or “wrong”. The use of fuzzy logic can be used in everyday life, such as in the fields of medicine, engineering, agriculture, transportation, environmental science and also in economic and business applications. As in this study, it was used to calculate the ideal amount of ‘tips’ for restaurant waiters based on the service provided by restaurant waiters. The method used in this study is to use Mamdani fuzzy logic with the process of defuzzyfication using the Centroid of area (COA). The results of this study are that it can be determined the value crisp of giving tips to restaurant waiters is 45 thousand rupiah provided that the service provided for service = 7 (Excellent) and food service = 8 (Delicious)..
Design of Earthquake Early Warning System Based on Internet of Thing
Authors: Gunawan G , Nasution B B , Zarlis M , Sari Marliana , Lubis AR , Solikhun
Published: April 2021

Earthquake Early Warning is needed to reduce casualties and material losses. In this research, a system of earthquake disaster early detection system with vibration sensor and fuzzy algorithm is designed that is run on a microcontroller. In this study, the results of vibration measurements are obtained which are posed by earthquake vibrations and simulated in real time. This tool still needs to be developed and further calibrated to get perfect results.
Handling Problems of Credit Data for Imbalanced Classes using SMOTEXGBoost
Authors: Mardiansyah Heru , Widia Sembiring Rahmat , Efendi Syahril
Published: April 2021

Some researchers find data with imbalanced class conditions, where there are data with a number of minorities and a majority. SMOTE is a data approach for an imbalanced classes and XGBoost is one algorithm for an imbalanced data problems. This research uses SMOTE and XGBoost or abbreviated as SMOTEXGBoost for handling data with an imbalanced classes. The results showed almost the same accuracy value between SMOTE and SMOTEXGBoost at 99%. While the value of AUC SMOTEXBoost has a more stable value than SMOTE that is equal to 99.89% for training and 98.51% for testing.
Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
Authors: Zakaria H L , Zamli K Z , Din Fakhrud
Published: April 2021

Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test suite generation problems due to better exploration and exploitation capabilities of the hybridization. This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. The proposed strategy is called Elitist Hybrid MBO-GA Strategy (EMBO-GA). Based on the published benchmarking results, the result of these strategies are competitive with most existing strategies in terms of the generated test size in many of the parameter configurations. In the case where this strategy is not the most optimal, the resulting test size is sufficiently competitive.
Server Electricity And Temperature Monitoring By Using Access Point, Lm 35 Censor And Java Programming Language To Check Electricity Parameter
Authors: Sari Marliana , Sadikin Nanang , Gunawan  , Fauzan Muhammad
Published: April 2021

The server is a computer network that served as a servant. The server managing data traffic in a network and provide a resource that can be used by other computers connected in a network. Application monitoring system integrated with censor and using ping access points work as expected for censor continuously send server information. SMS gateway that can be attached to respond quickly in case of a problem on the server computer and the temperature exceed the limit or power supply status has changed so that an administrator can perform right action as fast as possible based on information provided. Server working continuously, with stable environment and without any interruption. It takes a special attention to maintain and monitoring so server will provide uninterrupted service. This application will play an important role to monitor servers that work continuously and assist Administrator and Operator Data Center. System Monitoring Application created based on the Java programming language.
Analysis of Application of the SAW, WP and TOPSIS Methods in Decision Support System Determining Scholarship Recipients at University
Authors: Marbun Murni , Zarlis Muhammad , Nasution Zulkifli
Published: April 2021

This research is an analysis of the application of the SAW, WP and TOPSIS methods to the support system for decision making at university. The types of scholarships provided are PPA education scholarships given by the Kementerian Riset, Teknologi dan Pendidikan Tinggi. The research variables are the attributes or criteria specified by the Directorate General of Learning and Student Affairs as contained in the 2018 Academic Achievement Improvement (PPA) guidebook. Decision Support Systems apply the classic FMADM method SAW, WP and TOPSIS. The results of this study are the application of the both methods of SAW and WP produce the same ranking and TOPSIS giving different rankings.
Ann : Predicting of State Retail Sukuk Based on Region in Indonesia
Authors: Solikhun  , Pujiastuti Lise , Wahyudi Mochamad
Published: April 2021

Retail Sukuk is a product of State Sharia Securities (Sukuk) issued by the Government of the Republic of Indonesia in this case the Ministry of Finance and sold to individuals or individuals of Indonesian Citizens through Selling Agents in the domestic Primary Market. This research contributes to the government and the Bank to be able to do the maximum promotion for the next sukuk issuance. The data used is data from the Ministry of Finance. These data are sukuk sales data with series 002-010 based on regional groups. The algorithm used in this study is Artificial Neural Network with Backpropogation method. Variabel masukan yang digunakan adalah kelompok wilayah bagian barat selain Jakarta (X1), kelompok Jakarta (X2), kelompok Indonesia Bagian Tengah(X3), dan kelompok Indonesia Bagian Timur (X4) dengan model arsitektur pelatihan dan pengujian sebanyak 4 arsitektur yakni 4-2-1, 4-3-1, 4-2-3-1 dan 4-3-2-1. The best architectural model is 4-3-1 with epoch 266, MSE 0.009918 and 100% accuracy rate. From this model, predictions of retail country sukuk will be made by region.
Text File Compression Using Hybrid Run Length Encoding (Rle) Algorithm With Even Rodeh Code (Erc) And Variable Length Binary Encoding (Vlbe) To Save Storage Space
Authors: Hardi S M , Zarlis M , Lubis D R P , Sihombing P , Elveny M
Published: April 2021

The increase of data usage causes problems in data storage, indirectly making the need for data storage also to increase. One alternative solution that can be done is to compress the file so that the file becomes smaller in size so it saves storage space. The algorithm used in this research is the Run Length Encoding algorithm, the Even Rodeh Code algorithm, and the Variable Length Binary Encoding algorithm which are the types of lossless compression. The algorithm will calculate its performance based on Compression Ratio, Ratio of Compression, Redundancy, Compression Time, and Decompression Time. The file that will be used in the data compression process is the file extension *.txt. This study used homogeneous strings (strings that have the same character) and heterogeneous strings (strings that have different characters) in testing the algorithm. In the compression process with a homogeneous string, the combination of the Run Length Encoding algorithm with the Variable Length Binary Encoding algorithm is better than the combination of the Run Length Encoding algorithm and the Even Rodeh Code algorithm with a Compression Ratio of 18.84% and a decompression time of 0.01295 ms. While the compression process on heterogeneous strings from the combination of the Run Length Encoding algorithm with the Even Rodeh Code algorithm is better than the combination of the Run Length Encoding algorithm with Variable Length Binary Encoding algorithms with Compression Ratio of an average of 52.45% and fewer decompression times of 4.93002 ms
Photovoltaic waste assessment in india and its environmental impact
Authors: Sheoran Manisha , Kumar Pancham , Sharma Susheela , Soni Amit , Sahariya Jagrati
Published: April 2021

An increased energy demand of the world is met by the renewable sources of energy. In this solar photovoltaic technology has turned out as a major contributor. In India solar photovoltaic sector has enhanced from 1 GW to 28 GW from 2012 to 2018 and reached 32.627 GW on 30 March 2020 as reported by the MNERA. With the soaring installations, solar photovoltaic waste has also been increasing. 200,000 million tonne of waste solar photovoltaic will be assembled in India till 2030 and approximately 1.8 million tonne by 2050. Solar photovoltaic technology includes crystalline silicon panels, amorphous silicon panels, CdTe, CIGS, GaAs panels. Among these crystalline silicon panels are used in India on a larger scale upto 93% . Life cycle assessment methodology is utilised. Environmental effects of c-Si, a-Si, CdTe, GaAS, CIGS on public health are assessed. Major health effects pertaining to different human body organs are also mentioned. The article also targets apparently thriving social, economic influence of the recycled solar photovoltaic panels. Interest of the society and recycling companies is also mentioned in the paper to highlight economic benefits that can be availed from the end life of the photovoltaic panels.
Fiber Oriental Optimization on Glass Fiber Reinforced Polymer Composite in Multi Objective Perspective based on Computational Structural Analysis
Authors: Indira Prasanth S , Kesavan K , Kiran P , Sivaguru M , Sudharsan R , Raj Kumar G , Vijayanandh R
Published: April 2021

Multi-perspective analyses on Glass Fiber Reinforced Polymer (GFRP) are a major concern of this work, in which bending and tensile loads focally applied. GFRPs are good composites, which have been developed to handle critical loads in an effectual manner with low price consumption. Instead of external research, this work focused to work on the optimization of the internal component of GFRPs. The component shortlisted for this research is reinforcement and its orientational angles. From the literature survey, 38 different orientational models are generated for the flexural tests, and 22 different orientational models are created for tensile tests. Three primary fibers are used for this optimization, which are E-Glass-UD, E-Glass-Wet, and S-Glass-UD. Commonly, Epoxy resin is used as a matrix for all the tests. The inputs of these computational simulations are External peak loads, which are estimated from experimental tests. The computational procedures are verified with Grid convergence test and analytical approach based validations. Finally, the structural analyses are computed and thereby models are optimized for both flexural and tensile loading conditions. Model 27 is reached the first position under flexural load and Model 1 is obtained the first position under tensile load based on low stiffness. In addition to that, Model 20 is also performed better than other models under flexural loads.
Inequalities concerning sth
derivative of a polynomial
Authors: Chanam Barchand , Devi Khangembam Babina , Krishnadas Kshetrimayum , Triveni Maisnam , Singh Thangjam Birkramjit
Published: April 2021

If p(z) is a polynomial of degree n having no zero in |z| < k, k > 1, then for 0 < s < n and 1 ≤ R ≤ k Jain [2007 Turk. J. Math. 31 89-94] proved

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In this paper, we improve as well as extend this inequality by involving certain coefficients of the polynomial. Further, our result improves and generalizes some well-known inequalities.
Effect of microorganisms on the stability analysis in magnetic nanofluids
Authors: Kaur Kamalpreet , Danesh Mustafa , Arora Monika
Published: April 2021

A study of onset of convection of a new type of fluid, a fluid that contains both magnetic nanoparticles and microorganisms, is presented in this paper. We consider an infinite horizontal layer of water based magnetic nanofluids (MNF) containing gyrotactic microorganisms, heated from below, in the presence of uniform vertical magnetic field. Here we utilize the Chebyshev pseudospectral method to solve the eigen value problem in gravitational environment. The effect of various important parameters which are conducive for the stability of the system is shown graphically.
Magnetic field and Rotation effect on thermal stability in an Anisotropic couple-stress fluid saturated Porous Layer under presence of Cross-Diffusion
Authors: Mishra Pankaj , Kumar Dhirendra
Published: April 2021

The present paper is based on the investigation of thermal stability problem under the influence of rotation, solute, heat and magnetic field on electrically conducting fluid saturated rotating horizontal porous media under local thermal non-equilibrium effect. We have considered a rotating horizontal anisotropic porous medium saturated with binary fluid. Process of Heating and salting is made from above to the fluid layer.Governing equations is followed by Darcy Brinkman model for characterizing the convection through porous media under the above said physical configuration. Normal mode technique and Application of Linear stability analysis has been made under the consideration of free-free boundary conditions. Thereafter the characteristic graphs between critical Darcy-Rayleigh number and corresponding wave number for beginning of convection in stationary case has been drawn and the effect of rotation, magnetic and couple stress parameters has been illustrated.At last it has been observed the non-dimensonalise parametres regarding singnificant components like rotation magnetic field and anisotropic properties of the physical configuration in present study has stabilizing effect.
Electromagnetohydrodynamic flow transport of two layer fluids through a microchannel with interfacial slip at fluid-solid interface
Authors: Rana Amalendu , Mishra Dwaipayan , Reza Motahar , Mondal Himadri Shekhar
Published: April 2021

This work investigates an electromagnetohydrodynamic flow of two layer fluids through a microchannel under the influence of interfacial slip at fluid-solid interface. The governing equations of conservation of momentum and potential distribution equations with Debye-Huckel approximation has been simplified analytically. The effects of different parameters like transverse electric field, viscosity ratio, interfacial charge density has been presented graphically. Also this study explored that the effect of Hartmann number and large Hartmann number on the velocity of fluid are almost opposite. These results are valid to the available data. Also it is shown that the interfacial charge density has a crucial role to play with the velocity of a fluid.
Viscoelastic fluid flow driven by non-propagative membrane contraction
Authors: Bhandari D S , Tripathi Dharmendra
Published: April 2021

A viscoelastic fluid flow model is develoved to study the flow analysis under the application of membrane contraction followed by the contraction and relaxation. This analysis is carried out subject to slip boundary condition. In particular, study of the kinematic of membrane motion in the insect’s tracheal tube that induces the fluid flow. The impact of a single tracheal tube’s membrane contraction has been computed mathematically, which regulated as a wall channel geometrically. Jeffrey fluid model is considered to see the viscoelastic behaviour of the fluids. The lubrication theory is adopted at a low Reynolds number for the non-linear differential equations. The pertinent influences of critical parameters on the pressure distribution have been graphically depicted. It is observed that an increase in the Jeffrey fluid parameter causes the reduction in pressure difference. This model is a highly bioinspired pumping mechanism. This model’s outcomes can be very useful in the designs of smart pumps for various biomedical applications.
A physical interpretation of the Newman Penrose formalism and its application to Bertrand Spacetime II
Authors: Jeevitha T U , Das Sanjit
Published: April 2021

In general relativity, problems are usually approached with coordinate basis method, but there is an other efficient method for solving these problems, which is tetrad formalism. Newman Penrose formalism is an old and renowned approach in general relativity which served immense benefits in analytical and computational aspects. The basic ingredients on the NP equations are the null tetrad (lµ, nµ, m−µ, mµ) here we construct a null tetrad for spherically symmetric static solutions that admit stable closed orbits called Bertrand Spacetime (BST) which has two type I & II, specially we concentrated on type-II. Along with this we studied Ricci spin coefficients, Ricci tensor and Weyl tensor.
Tailoring electronic properties of bilayer tri-s-triazine C3N4 using spatial modification: An ab-initio study
Authors: Mali Kishan H. , Bhagat B.R. , Dashora Alpa
Published: April 2021

In the present work, change in electronic properties due to structural modification of bilayer g-C3N4 using density functional theory has been studied. We have considered shifting and rotation of one layer parallel to the second fixed layer and optimised three different arrangements. The stability of the bilayer was examined by calculating the total energy of all the structures. Specific bilayer arrangement having 180° rotation has been found most stable. The study of density of states reveals band gap of this structure to be 0.60 eV. From HOMO-LUMO and partial density of states it is seen that the stability and properties of bilayer g-C3N4 highly depends on the arrangement of N-2p and C-2p orbitals in both the layers. The inclusion of van der Waals (vdW) interaction changes the properties in z axis due to coupled orbital and columbic interaction between the layers and individual orbitals.
Hydroxyl Radical Reactivity with Cytosine and Thymine: A Computational Study
Authors: Farooqui Huma , Yadav Amarjeet , Pandey B. K.
Published: April 2021

Addition of hydroxyl radical (OH) at the different sites of cytosine and thymine were studied at the different levels of theory of the density functional theory (DFT). All the molecular geometries were optimized at B3LYP, B3PW91, WB97XD, and MPW1PW91 methods with 6-31G (d,p) basis set. The binding energies at the different sites of these two DNA bases were calculated at all the mentioned levels of theory in gas phase and also in different solvents of dielectric constant varying from lower to higher values. The dependence of binding energies in water, methanol, ethanol, acetone, toluene and benzene reveals that binding energies are not much affected by salvation.
Effect Monitoring of Physical Education Curriculum Based on Wearable Sensor in Intelligent Environment
Authors: Liang Feng , Shan Zhouxiang , Wang Dongle
Published: April 2021

Reasonable amount of exercise is the premise of physical education teaching. On this premise, in the process of students’ physical education teaching, the appropriate degree of actual exercise amount will affect the effect of motor skill learning and physical exercise to a great extent. Through monitoring the amount of exercise and then evaluating the quality of physical education teaching is the focus of the implementation of physical education. Looking for simple and effective monitoring equipment has important practical significance. In this paper, through the analysis of the current situation of wearable sensor in the development of physical education teaching, put forward the effect monitoring of sports curriculum based on wearable sensor in intelligent environment. In this paper, 258 freshmen and sophomores who use wearable devices are selected for monitoring and analyzing, and the pertinence, accuracy and data of wearable sensor physical education course and traditional physical education course are compared and analyzed, and the results are discussed and analyzed. It is concluded that wearable sensor can promote physical education curriculum, not only can improve the teaching pertinence, strengthen the accuracy, but also can In order to improve the scientificity of physical education curriculum effect monitoring. The research in this paper has important practical significance for monitoring the effect of wearable sensors in physical education curriculum.
Design of an Intelligent Fiber Bragg Grating Temperature Measurement System for Electrical Equipment
Authors: Wang Liting , Han Hulin
Published: April 2021

For the power system, the main reason for many fire accidents is that the temperature of electrical equipment is too high, and now the widely used fire detector can only detect the fire that has occurred. If the temperature change of electrical equipment can be tracked in real time and the alarm information can be sent in time when the operating temperature is too high, the fire of power system can be scientifically and effectively prevented. The use of fiber Bragg grating sensor can provide a basis for the realization of the theoretical conception. For the traditional temperature measurement system, fiber Bragg grating temperature measurement system has the advantages of convenient maintenance, fault detection, less affected by light source power fluctuation, information sharing and long service time. It can effectively measure the temperature of isolated contact of high-voltage switchgear, the temperature of wet steam inside steam turbine and the surface temperature of power cable, etc. This paper researches a design of fiber Bragg grating temperature measurement system.