bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding sequence effect in DNA bending elasticity by molecular dynamic simulations
Authors: Qiang Xiao-Wei , Dong Hai-Long , Xiong Kai-Xin , Zhang Wenbing , Tan Zhi-Jie 
Published: April 2021

Abstract
Structural elasticity of double-strand DNAs is very important for their biological functions such as DNA-ligand binding and DNA-protein recognition. By all-atom molecular dynamics simulations, we investigated the bending elasticity of DNA with three typical sequences including poly(A)-poly(T) (AA-TT), poly(AT)-poly(TA) (AT-TA), and a generic sequence (GENE). Our calculations indicate that, AA-TT has an apparently larger bending persistence length (P ∼63 nm) than GENE (P ∼49 nm) and AT-TA (P ∼48 nm) while the persistence length of AT-TA is only very slightly smaller than that of GENE, which agrees well with those from existing works. Moreover, through extensive electrostatic calculations, we found that the sequence-dependent bending elasticity is attributed to the sequence-dependent electrostatic bending energy for AA-TT, AT-TA and GENE, which is coupled to their backbone structures. Particularly, the apparently stronger bending stiffness of AA-TT is attributed to its narrower minor groove. Interestingly, for the three DNAs, we predicted the non-electrostatic persistence length of ∼17 nm, thus electrostatic interaction makes the major contribution to DNA bending elasticity. The mechanism of electrostatic energy dominating sequence effect in DNA bending elasticity is furtherly illustrated through the electrostatic calculations for a grooved coarse-grained DNA model where minor groove width and other microscopic structural parameters can be artificially adjusted.
Same-Sign Dilepton Signature in the Inert Doublet Model *
Authors: Yang Fa-Xin , Han Zhi-Long , Jin Yi 
Published: April 2021

Abstract
In this study, we perform a detailed analysis on the same-sign dilepton signature in the inert doublet model. Focusing on the low dark matter mass region, we randomly scan the corresponding parameter space. Viable samples allowed by various constraints are obtained, and among them are twenty benchmark points that are selected for further study on collider signature. At hadron colliders, the same-sign dilepton signature is produced via

with the leptonic decay mode

, where H represents the dark matter candidate. We investigate the testability of this signal at the high-luminosity LHC (HL-LHC) and the proposed 27 TeV high-energy LHC (HE-LHC). According to our simulation, the HL-LHC with

can barely probe this signal. Meanwhile, for the HE-LHC with

, it is promising to obtain a

significance when

GeV with dark matter mass

or 71 GeV.
Detecting anomalies in vector boson scattering *
Authors: Li Jinmian , Yang Shuo , Zhang Rao 
Published: April 2021

Abstract
Measuring vector boson scattering (VBS) precisely is an important step toward understanding the electroweak symmetry breaking of and detecting new physics beyond the standard model (SM). Herein, we propose a neural network that compresses the features of the VBS data into a three-dimensional latent space. The consistency of the SM predictions and experimental data is tested via binned log-likelihood analysis in the latent space. We show that the network is capable of distinguishing different polarization modes of WWjj production in both di- and semi-leptonic channels. The method is also applied to constrain the effective field theory and two Higgs Doublet Model. The results demonstrate that the method is sensitive to general new physics contributing to the VBS.
Design of a scalpel clamp for viscoelastic properties assessment in soft brain tissues
Authors: Silva K N , Torres-SanMiguel C R , Jimenez-Ponce F , Urriolagoitia-Calderón G M 
Published: April 2021

Abstract
Parkinson’s disease (PD) is the second most common chronic degenerative brain disorder in the world preceded by Alzheimer’s disease, affecting one in every hundred people over sixty worldwide. This research shows the evaluation of hydrolyzed collagen specimens that emulate the viscoelastic properties of brain tissue. Also, an electromechanical clamp-type device is proposed for data acquisition as well as a graphic interface that displays samples values.
Optimization and Performance Evaluation of C+L Band Wavelength Division Multiplexing Based on Free Space Optical Communication
Authors: Almukhtar A. A. , Abass A. K. , Ali M. H. 
Published: April 2021

Abstract
In this paper, the design parameters of the wavelength division multiplexing based on free–space optical (WDM–FSO) within the C+L band are optimized via Opti-system 7 computer software. The performance of the proposed system is evaluated under different weather conditions, namely, clear, haze, rain, and fog. The Amounts of 1E-9 and 6 were adopted as a communication condition for B.E.R and Q-Factor, respectively. The W.D.M system operating frequency is ranging from 190 THz –to– 193.1 THz through 32 channels with a channel spacing of 100 GHz and a bit rate of 10 Gbps.
A study of automatic segmentation of White Matter Hyperintensity for detection of Alzheimer’s disease
Authors: Eileen Pious Antonitta , Sridevi U.K. 
Published: April 2021

Abstract
Alzheimer’s disease is a type of neurodegenerative disorders involving a long-term and generally significant decrease in cognitive performance. Age is the main risk factor for neural disorder, and so it is the aged who are highly affected by this neural disorder. Because of the intensity of the spread of this disease on a global level, organizations and researchers are continuing to invest in the early detection and prevention of such disorders, with an emphasis on proper treatment and medication. Cost-efficient and scalable methods for detecting dementia from some of the most extreme ways are required, similar to the early stages of Subjective Memory Loss (SML), to more drastic stages like Mild Cognitive Impairment (MCI) and Alzheimer’s Dementia (AD) itself. The focus of this work is to build a reliable Deep learning algorithm based on the OASIS, ADNI, and WMH challenge dataset for the identification of cognitive impairment (CI).In this paper an elaborate review has been made of the various methodologies and algorithms used in various frameworks to efficiently and automatically segment WMH (White Matter Hyperintensities) in the brain to detect lesions and areas related to various anomalies, Alzheimer’s being one of them.
Geogebra assisted blended learning on students’ spatial geometry ability
Authors: Daulay L A , Syafipah  , Nasution A K P , Tohir M , Simamora Y , Saragih R M B 
Published: April 2021

AbstractThis study aims to know (1) the effect of Geogebra assisted blended learning in enhancing spatial geometry ability, (2) the response of the learning. This research method uses quantitative research with a quasi type experimental design and research design using the pretest-posttest control group. The subject was Mathematics Education students on State Institute of Islamic Religion (IAIN) Takengon who studied field and space analytic geometry in the academic year 2019/2020. Data collection using tests and questionnaires that are validated by experts. The data hypothesis test uses the t-test involving requisite pretests (normality and homogeneity) beforehand. The results showed that Geogebra assisted blended learning was effective in enhancing geometry spatial ability, and students’ response was also very good.
The development of learning tool based on realistic mathematics education and its influence on spatial abilities of elementary school students
Authors: Nuryami  , Sunardi  , Susanto  , Rizqika P , Shofyan A 
Published: April 2021

Abstract
This study aims to develop a learning tool for mathematics based on Realistic Mathematics Education on the volume of block and cube material for grade V of elementary schools and to determine their effect on spatial abilities. Spatial abilities need to be improved since elementary school because spatial abilities are related to students’ cognitive abilities. However, student experience problem in learning about space figures, beside the material is abstract, the learning process in the classroom can also affect it. Mix Method is a method used in this research with a Sequential Exploratory design, a method that combines the Thiagarajan model development and sequential quantitative method. Before the data is analyzed, first the variance homogeneity test and normality test are carried out. The first test results indicate that the data is distributed normally. So that the data were analyzed using t-test analysis. The results showed that: (1) the learning device met the criteria of being valid, effective and practical, meaning that the device was proven to be a guide for teachers to improve spatial abilities, (2) a value of significance of 0.000 (p <0.05), indicating that there is a substantial effect on the application of learning used on students’ spatial abilities.
The development of learning instrument with Contextual Teaching And Learning (CTL) based on Lesson Study for Learning Community (LSLC) on two variable linear equations and its effect on creative thinking of junior high school student
Authors: Solehah A , Pambudi D S , Hobri  , Ummah B I 
Published: April 2021

Abstract
This study aims to develop learning instrument with contextual teaching and learning (CTL) based on lesson study for learning community (LSLC) on the two-variable linear equation material for grade VIII students of Junior High School/MTs and its effect on students’ creative thinking. The method used is mix methods with a combination model of sequential exploratory design with the Thiagarajan development model through four stages, those are define, design, develop, and disseminate. In experimental research using a quasi experimental design, namely pretest posttest non equivalent control group design. The subjects of this study were students of MTs Bustanul Ulum Panti, class VIIIA as the experimental class and class VIIIB as the control class. Students’ creative thinking abilities were measured using tests of creative thinking abilities. The assumption test for normality and homogeneity of variance is carried out before the data is analyzed. This research generates learning instrument that meet the criteria of practical validity, and effective, also the significance value (t-tailed) of 0,000 (p < 0,05) which indicates the application of learning has a significant effect on students’ creative thinking abilities.
Influence of lower-order derivatives on solvability Dirichlet problem for elliptic systems
Authors: Golovko E A 
Published: April 2021

Abstract
The article considers the Dirichlet problem for a multidimensional elliptic system containing lower-order derivatives. At the present time elliptic systems of second-order partial differential equations with two independent are well known, what cannot be said about multidimensional elliptic systems. The problem of homotopy classification of such systems has not yet been solved. For elliptic systems phenomena are observed in the nature of the solvability of classical boundary systems, which do not occur in the case of one equation. Among such phenomena, the influence of the loss of smoothness and the influence of lower-order derivatives on the solvability of boundary value problems should be noted. The paper proposes a solution to the Dirichlet problem for a multidimensional elliptic system with lower-order terms of a special form in a half-space. Applying the Fourier transform, the solvability problem is reduced to study of a second-order partial differential equation containing lower-order derivatives. Violations of the violation of the Noetherian property of the Dirichlet problem are considered. The result is formulated as a theorem.
New selection algorithm based on generating sequences
Authors: Artamonov Y N , Alyaeva Y V 
Published: April 2021

Abstract
The paper proposes a new deterministic selection algorithm with computational complexity O(n), called cs-select, which is a modification of the quickselect algorithm. The changes concern the selection of reference elements. Instead of selecting some elements of the sequence itself as References, the cs-select algorithm proposes to use finite segments of complete sequences, that allow to represent any natural number in a given range as the sum of elements from a selected finite segment of the complete sequence. It is theoretically justified that in the cs-select algorithm, the number of comparisons when searching for the k-th statistic in a sequence of length n can converge to the value 2n with unlimited growth of n for some complete sequences. It was also shown that different variations of the complete sequences make it possible to reduce the latent constant in O(n) less than 2.
Encoding and decoding algorithms for unlabeled trees
Authors: Balagura A A , Kuzmin O V 
Published: April 2021

Abstract
Trees considered in this article, in which at least two receivers emanate from each internal vertex, are found in the works by E. Schroder, R. Stanley, O.V. Kuzmin, etc. Encoding and decoding algorithms for unlabeled planar rooted trees with a given number of end vertices, root receivers, and a sequence of degrees of internal tree vertices during depth-first search are built. Encoding is done in non-decreasing tuples, by assigning labels to the internal vertices of the tree. The proposed algorithms made it possible to prove the existence of a one-to-one correspondence between the studied set of trees and the set of non-decreasing tuples. To find the cardinality of a set of tuples, we used an approach based on the generalized Pascal pyramid.
An operational method for calculating the frequency fluctuations of a radio signal in a randomly inhomogeneous ionosphere
Authors: Ch Kim D , Ageeva E T , Afanasiev N T , Chudaev S O , Mahro I G , Medvedeva O I 
Published: April 2021

Abstract
An operational method for calculating fluctuations of the Doppler frequency shift of a radio signal reflected from a randomly inhomogeneous ionosphere is proposed. The method is based on a numerical and analytical solutions of stochastic ray equations. The integral expressions are obtained for the average and root-mean-square deviations of the frequency of the radio signal along the oblique sounding path in the approximation of the perturbation method. The motion of chaotic ionospheric irregularities is taken into account in the framework of the hypothesis of the frozen turbulence transfer. The integral expressions for statistical moments are reduced to a system of ordinary differential equations of the first order and are solved numerically together with the ray equations in the regular ionosphere. This can significantly reduce the computer time spent calculating the Doppler frequency shift of the radio signal in a randomly inhomogeneous ionosphere. The results of mathematical modeling of frequency fluctuations of a decameter radio signal on a single-hop track in various geophysical conditions are presented.
Computer simulation of processes of changing the reliability characteristics of systems with recoverable and non-recoverable elements based on the Simulink Dynamic Simulation Package
Authors: Krivel S M 
Published: April 2021

Abstract
The paper presents a methodology and software package of mathematical and computer simulation of changes in the reliability characteristics and integrated indicators of system reliability during operation using Simulink. The software package is an application (Toolbox) to the standard Simulink package. The theoretical basis of the proposed algorithms is the method of analyzing structural diagrams of system reliability. The author proposes an original diagram of building a mathematical model of reliability with both non-recoverable and recoverable elements. The diagram involves a broad interpretation of the concepts of a “recoverable element” and a “recoverable element failure”. This approach found reflection in the wide range of proposed simulation tools. The advantage of the proposed products is the unification and relative ease of building models of systems of a sufficiently high level of complexity, and a wide range of intermediate simulation results available for analysis. The methodology and software package can be used during the system design stage to predict their reliability performance. The paper presents some simulation results.
Reaction of N-allenyl-1H-pyrrole-2-yl-carbaldehyde with hydroxylamine: a quantum-chemical model
Authors: Teplyashin N V , Bobkov A S , Vitkovskaya N M 
Published: April 2021

Abstract
The mechanism of the reaction between hydroxylamine and N-allenylpyrrole-2-carbaldehyde has been studied using quantum-chemical methods (B2PLYP-D2/6-311+G**//B3LYP/6-31+G*). It is shown that the calculations should take into account the solvent molecules. Solvent molecules provide both proton transfer and adequate reproduction of activation barriers. It is found that two solvent molecules are necessary for modeling oximation reaction, whereas only one solvent molecule is sufficient for the cyclization step.
Extraction of bixin from annatto seeds with microwave
Authors: Erdawati E , Allanas E , Wesnina W 
Published: April 2021

Abstract
This study aims to determine the effect of extraction time (5,10,15 minutes) and the ratio of the aquadest solvent: ethyl acetate (1: 6.5, 1: 7, 1: 8 v/v) to the yield of pigment. The optimum condition was found in the ratio of the solvent of distilled water: ethyl acetate (1: 7 v/v) extraction time of 15 minutes with low microwave power resulted in maximum pigment yield of 0.469%. The isolate compounds were analyzed using IR spectroscopy, mass spectroscopy, and High-Performance Liquid Chromatography (HPLC) showed that the isolates were boxing pigments having a molecular weight of 394 g/Mol with wavenumbers for OH groups, C = O carboxylate groups, CH bonds, duplicate C = C, and CO ester bonds. As well as showing the retention time of standard and standard pigments at minutes to 12.849 and 12.843.
Tyrosinase inhibitory activity of Garcinia daedalanthera Pierre
Authors: Ambarwati N S S , Elya B , Desmiaty Y , Ahmad I 
Published: April 2021

Abstract
The tyrosinase enzyme catalyzes the first stage in two reactions in the synthesis of melanin (the hydroxylation of l-tyrosinase becomes 3,4-dihydroxyphenylalanine (l- DOPA) and oxidation from L-dopa to dopaquinone). Hyperpigmentation in human skin is a general phenomenon that is not desirable. Researchers were encouraged to identify potential new tyrosinase inhibitors for cosmetics, especially anti-hyperpigmentation. This study purposed to determine the inhibitory activity of the tyrosinase enzyme from Garcinia daedalanthera Pierre leaves. The extract was obtained by maceration successively method. The anti-tyrosinase assay used the spectrophotometric method at 490 nm. The enzyme used tyrosinase from mushrooms lyophilized powder (Sigma), and the substrate used 3,4-dihydroxy-L-phenylalanine, L-DOPA (Sigma). The tyrosinase inhibitory assay results of 100 ppm (triplicate) showed the leaves extract, including ethyl acetate extract of 33.42 ± 5.98 %, hexane extract was 50.67 ± 0.47 %, and methanol extract of 50.68 ± 1.87 %, respectively. Moreover, the stem bark has activity as follows methanol extract of 43.76 ± 1.41 % and the ethyl acetate extract of 55.71 ± 2.80 %. Percentage inhibition of the positive control (kojic acid) was 65.07 ± 0.03 % at 100 ppm.
Effect of spacing on growth and yield of several black soybean varieties (Glycine max L Merril)
Authors: Maulana K , Yuliartini M S , Wirajaya A A N M , Mahardika I B K , Situmeang Y P 
Published: April 2021

Abstract
This research aims to determine the growth response and yield of several Black Soybean varieties in several variations of spacing. The experiment is a factorial experiment using a randomized block design (RBD) consisting of two treatment factors, the first factor is the variety consisting of 3 levels: V1 = Detam 1, V2 = Detam 3 Prida, V3 = Detam 4 Prida. The second factor is spacing which consists of 3 levels: J1 = 20 cm x 20 cm, J2 = 20 cm x 30 cm, J3 = 20 cm x 40 cm. The interaction of varieties with plant spacing has a very significant effect on crop dry weight and seed oven per planting hole. The significant effect the yield seeds of dried and oven per hectare. The weight of oven-dry seeds per planting hole and the highest yield of oven-dried seeds per hectare was obtained in the interaction of Detam 1 varieties with the spacing of 20 cm x 40 cm with was 33.79 g and 2.53 tons per hectare which increased 138.79% and 42.93% compared with the interaction of Detam 4 Prida varieties with a spacing of 20 cm x 20 cm with was 14.15 g and 1.77 tons per hectare.
Elastase inhibitory activity of methanol extract and n-hexane extract of Garcinia xanthochymus Pericarp
Authors: Desmiaty Y , Ambarwati N S S , Elya B , Atmanto D , Ahmad I 
Published: April 2021

Abstract

Garcinia xanthochymus is a plant found in Indonesia and rich in quercetin. Ethanol extract of bark can reduce LDL levels. Xanthon from the G. xanthochymus has antidiabetic activity. This study aims to determine the anti-elastase activity of n-hexane extract and methanol extract of G. xanthochymus pericarp. Samples were macerated for one time 24 hours using n-hexane and methanol, respectively. The elastase enzyme inhibition test used spectrophotometry methods by reacting extracts with the porcine pancreatic elastase enzyme and using the substrate N-Succ-(Ala)-3-p-nitroanilide (SANA). Absorbance was measured at a wavelength of 405 nm with a microplate reader. The results showed that the concentration of 100 ppm extract of n-hexane extract of pericarp had enzyme inhibiting activity 65.17 ± 6.44%, methanol extract of pericarp 29.81 ± 10.67%. Meanwhile, the inhibitory activity of quercetin elastase enzyme as a positive control was 62.75 + 1.89%. This research concludes that the n-hexane extract of the pericarp of G. xanthochymus has activity as an inhibitor of the enzyme elastase is very high and can potentially be used as a material for making cosmetics.
Comprehensive study of SIR: Leading SUT repository for software testing
Authors: Min J L , Rajabi N , Rahmani A 
Published: April 2021

Abstract
Software testing is performed by executing test cases against the system under test (SUT). For researchers, it is slightly challenging to find real case SUT. As an alternative, researchers utilize the existing SUT from repositories as their research objects. Software-artifact Infrastructure Repository (SIR) provides some reasonably comprehensive SUTs that had been used by over 50% of software testing literature. Nevertheless, it is still rare among researchers to conduct profound studies of SIR’s SUTs. This paper aims to fill the gap by explaining SIR’s SUTs specification and how it’s organized. Each of the C-language SUT was exposed and recorded its features comprising the size of SUT, lines of code (LOC), number of test cases, as well as the number and types of faults. SIR’s SUTs divided into two parts namely “older” and “newer” objects which both provided with various versions of the test program as well as predefined test sets along with its specification. These results indicate that SIR’s SUTs is carefully prepared to conduct software testing research.