bluuebunny/crossref_metadata_2025_split huggingface dataset:
GaN HEMT based biosensor for the detection of breast cancer marker (C-erbB2)
Authors: Chaturvedi Nidhi , Chowdhury Rajdeep , Mishra Shivanshu , Singh Kuldip , Chaturvedi Nitin , Chauhan Ashok , Pande Surojit , Sharma Niketa , Parjapat Priyavart , Sharma Ramakant , Kothari Prateek , K Singh Arvind 
Published: February 2021

Abstract
This work reports on the development of a compact GaN high-electron-mobility transistor (HEMT) based biosensor for an easy and early detection of breast cancer biomarker C-erbB2 in the human cell line. The early-stage detection process includes a reaction of antibody-antigen through the cell line culture of a patient. The developed sensing chip has a two-finger gate structure of 125 µm gate width, and a gate length of 5 µm. In order to functionalize the gold surface of the fabricated sensor, the sensor chip has been immersed into an optimized 1 M aqueous solution of thioglycolic acid at room temperature for 15 h. Various characterization methods such as I–V, EDS, and FTIR confirm the formation of the Au–S complex. The functionalized sensors have been incubated in phosphate buffer saline solution of 200 µg ml−1 C-erbB2 monoclonal antibody for 4 h. Thereafter, the C-erbB2 monoclonal antibody conjugated devices are incubated with human cancer cells positive for C-erbB2 on its cell surface. The biosensor shows a 31% change in drain current for an incubation period of 6 h. The high-resolution biosensing chip (in terms of high drain current levels of the order of mA) is unaffected by noise and eases the circuit for futuristic point of care diagnostics.
Study of an eccentric dielectric elastomer motor and its application for soft robots
Authors: Chen Bicheng , Wang Nianfeng , Chen Haozheng , Zhang Xianmin 
Published: February 2021

Abstract
Dielectric elastomer actuator (DEA) is an attractive electro-active actuator, which has great potential in soft robots. This paper investigates the deformation and application of an eccentric dielectric elastomer (DE) motor constructed by a typical circle DEA and a central block. The motion of DE motor is achieved collaboratively by several electrode segments patterned on the DE film. The deformation of the motor under voltage is deduced according to the balance state between external force and dielectric elastomer film, and a revised angle is taken concerning large deformation of DE motor. Numerical results are presented and the effects of design parameters, loads and voltages are discussed. Experiments are taken for verification and the results show a good agreement with numerical results. The eccentric DE motor is used to finish the prescribed tasks including tracking and crawling through controlling voltages of different electrode segments.
Experiments and modeling of variable camber guide vane embedded with shape memory alloy plate
Authors: Chen Tiegang , Jiang Jun , Zhang Qiang , Wang Hanlin , Zhang Xiaoyong 
Published: February 2021

Abstract
In this paper, a novel variable camber guide vane (VCGV) actuated with a shape memory alloy (SMA) plate is proposed to achieve active real-time control. An analytical model is proposed to describe the relationship of SMA plates with different thicknesses between the deflection angle and temperature. Then, a numerical model of the VCGV is established to design the shape of the VCGV. Moreover, experiments of this actuator and VCGV are conducted to explore the variation of deflection angles over time for the VCGV. Results show that the deflection angle of the VCGV can be actively controlled from 0° to 8.2°. This work is expected to widen the applications of SMAs in variable guide vanes.
Theory of BCS-like bogolon-mediated superconductivity in transition metal dichalcogenides
Authors: Sun Meng , Parafilo A V , Villegas K H A , Kovalev V M , Savenko I G 
Published: February 2021

Abstract
We report on a novel mechanism of BCS-like superconductivity, mediated by a pair of Bogoliubov quasiparticles (bogolons). It takes place in hybrid systems consisting of a two-dimensional electron gas in a transition metal dichalcogenide monolayer in the vicinity of a Bose–Einstein condensate. Taking a system of two-dimensional indirect excitons as a testing ground of Bose-Einstein condensate we show, that the bogolon-pair-mediated electron pairing mechanism is stronger than phonon-mediated and single bogolon-mediated ones. We develop a microscopic theory of bogolon-pair-mediated superconductivity, based on the Schrieffer–Wolff transformation and the Gor’kov’s equations, study the temperature dependence of the superconducting gap and estimate the critical temperature of superconducting transition for various electron concentrations in the electron gas and the condensate densities.
Giant synthetic gauge field for spinless microcavity polaritons in crossed electric and magnetic fields
Authors: Chestnov I Y , Arakelian S M , Kavokin A V 
Published: February 2021

Abstract
The artificial gauge field for electrically neutral exciton polaritons devoid from the polarization degree of freedom can be synthesized by means of applying crossed electric and magnetic fields. The appearance of the gauge potential can be ascribed to the motional (magneto-electric) Stark effect which is responsible for the presence of a linear-in-momentum contribution to the exciton kinetic energy. We study the interplay of this phenomenon with the competing effect which arises from the Rabi-splitting renormalization due the reduction of the electron–hole overlap for a moving exciton. Accounting for this mechanism is crucial in the structures with the high ratio of Rabi splitting and the exciton binding energy. Besides, we propose an approach which boosts the gauge field in the considered system. It takes advantage of the crossover from the hydrogen-like exciton to the strongly dipole-polarized exciton state at a specific choice of electric and magnetic fields. The strong sensitivity of the exciton energy to the momentum in this regime leads to the large values of the gauge field. We consider the specific example of a GaAs ring-shape polariton Berry phase interferometer and show that the flux of the effective magnetic field may approach the flux quantum value in the considered crossover regime.
Delay time and persistent oscillations for a shifted quantum shutter
Authors: Hernández-Maldonado Alberto , Villavicencio Jorge , Hernández-Aviña Andrea 
Published: February 2021

Abstract
We derive an exact analytical solution to the time-dependent Schrödinger equation based on a resonant state expansion, to explore the time-evolution of cutoff plane waves scattered by finite range potentials, within a shifted quantum shutter model. The latter allows to control both, the position of the shutter and an hypothetical detector, which are initially separated by a distance ΔX. The dynamical advance-time (negative delay-time), ΔT, is explored for the particular case of a delta potential well, by measuring the difference of the first maxima of the time-diffraction pattern of the probability density, corresponding to the free and delta potential cases. We show that in general, ΔT exhibits a monotonic behaviour as a function of ΔX, and derive a simple formula for the timescale by using the symmetry and rescaling properties of the dynamical solution. We demonstrate that below a critical value of the shutter-detector separation, ΔX

c
, the monotonic behaviour of ΔT is hindered due to an oscillatory phenomena of the probability density, known as persistent oscillations, that drastically distorts the maxima used in the measurement process. These persistent oscillations are periodic Rabi-type oscillations that arise from an interplay between the incidence energy of the initial quantum wave and the bound state of the system, and their frequency play an important role in the dynamics of the delay time.
The three-dimensional equilibrium with magnetic islands and MHD instabilities in the CFQS quasi-axisymmetric stellarator
Authors: Wang X.Q. , Xu Y. , Shimizu A. , Isobe M. , Okamura S. , Todo Y. , Wang H. , Liu H.F. , Huang J. , Zhang X. , Liu H. , Cheng J. , Tang C.J. 
Published: February 2021

Abstract
The equilibrium of the Chinese first quasi-axisymmetric stellarator (CFQS) has been investigated by the HINT code. It is found that the stochastization of magnetic field lines expands with the increase in the volume-averaged beta value 〈β〉 in the plasma boundary. In the high-β regime, the generation of large magnetic islands at rational surfaces not only leads to an effective shrinkage of the plasma confinement region but also increases the outward shift of the magnetic axis. With bootstrap current effects, the low-order islands spread over the whole plasma area, leading to a stochastization of magnetic field lines due to island chain overlapping. However, for a flat pressure profile, the magnetic islands are significantly suppressed so that the magnetic surfaces can be fairly maintained. Moreover, the magnetohydrodynamic (MHD) instabilities in the optimized CFQS configurations have been simulated by the MEGA code. The linear properties of unstable resistive MHD modes are studied. The results show that in the CFQS the main MHD behaviour is dominated by the resistive ballooning modes with strong mode coupling. The mode structure and resistivity scaling are consistent with related theories.
Determination of Stability constants Nickel binary and ternary complexes in aquesous DMSO by Pontentiometric method
Authors: Rajarajan G. , Dhineshkumar E. , Amala S. , Seenivasan M. , Paramasivan A. 
Published: February 2021

Abstract
The stability constants of some of the binary and ternary system involving Nickel(II) have been studied. Bis-(pyridyl) benzilidene acts as a primary ligand. Glycine, L-alanine, L-phenylalanine, L-leucine and L-valine were acts as a secondary ligand. The stability constants of complex are calculated by SCOGS computer program. The reported values are ± 0.02 log unit accuracy. The protonation constants values increase with an increasing percentage of dimethyl sulphoxide. Protanation constants values for the glycine, L-valine ternary complexes higher stability constants indicate that inductive effect is predominant than steric effect. Whereas L-Phenylalanine ternary system has high stability constants than other ternary complexes due to stacking interaction between phenyl ring of phenylalanine and phenyl ring of primary ligand. The order of stability constant of ternary systems is Ni(bpb)(phe)2 > Ni(bpb)(leu)2 > Ni(bpb)(val)2 > Ni(bpb)(gly)2.
Mediative Fuzzy Logic of Sugeno-Tsk Model For The Diagnosis of Diabetes
Authors: Sharma M. K. , Dhiman Nitesh , Narayan Mishra Vishnu 
Published: February 2021

Abstract
Fuzzy Logic (FL) is very beneficial in medical field. But due to the consideration of membership function only; it cannot give an appropriate result in prese nt era of contradiction. So, we need to consider favourable as well as unfavourable cases together as the Intuitionistic Fuzzy Logic (IFL) does. But what happens if we have imperfect information that cannot be dealt with the IFL. When there-exist a contradiction in the expert knowledge, then we have to propose a Mediative Fuzzy Logic (MFL) based Sugeno’s inference system for the diagnosis of diabetes. In the present research paper, we have proposed a new approach to the diagnosis of diabetes, we have collected certain information from Pima Indians Diabetes Database (PIDD) as input variables and we used MFL based inference system for the diagnosis of diabetes.
Characterizations of Mapping via Nnc Z-open Sets
Authors: Moogambigai N. , Vadivel A. , Tamilselvan S. 
Published: February 2021

Abstract
The aim of this paper we introduce NncZ-irresolute, NncZ-open, NncZ-closed, pre NncZ-open and pre NncZ-closed mappings and investigate properties and characterizations of these new types of mappings.
Science online learning during the covid-19 pandemic: difficulties and challenges
Authors: Wisanti  , Ambawati R , Putri EK , Rahayu DA , Khaleyla F 
Published: February 2021

Abstract
Students, parents, and teachers in Indonesia get the tremendous effects of the coronavirus (Covid-19 Pandemic) when schools are closed and the rules of Large-Scale Social Restrictions (LSSR) were set to overcome the global pandemic. While the government is doing its best to handle the outbreak of the epidemic, teachers respond and strive to provide qualified education for their students during these difficult times. Sciences should be learned through minds-on and hands-on, hence teachers must be able to create virtual classroom conditions that help students maintain learning momentum while they cannot interact each other physically. This study aimed to identify the difficulties experienced by science teachers during online learning and describe the efforts of science teachers to conduct online learning during the Covid-19 pandemic. The research data were obtained through a survey using a semi-structured online questionnaire. The respondents were 82 junior high school teachers and 104 biology high school teachers in Indonesia. Data analysis used a quantitative descriptive approach. The results showed that the majority of science teachers (77.5%) got difficulty in managing online learning. This difficulty was identified in three main factors namely technology, students, and teachers. Internet access was a technological factor that causes the greatest difficulty (42.4%) in online learning. Other difficulties came from the students by 21.5%, including low motivation, time management skills that were not optimal, and the lack of communication devices such as smartphones. The third factor, namely teachers, contributed 36.1% of difficulties, especially related to the explanation of concepts and the use of online learning applications. Based on these difficulties, 77.4% of teachers made an effort to carry out online learning optimally by presenting the material and providing slide presentation, discussion, as well as learning evaluation. A small percentage of teachers (22.6%) used online classes only for task assignments and learning evaluation. The efforts of science teachers to manage online learning have not optimized students’ varied learning experiences because science can’t be learned by reading and discussion only, but also by hands-on activities.
Flowability and strength properties of high volume of fly ash material on self-compacting concrete
Authors: Wardhono Arie 
Published: February 2021

Abstract
The detail complexity level of the building structure is getting more complicated. The use of a high volume of fly ash self-compacting concrete (HVFA-SCC) with better flowability properties is one alternative to address this problem. This research aims to investigate the strength properties and flowability of a high volume of fly ash self-compacting concrete (HVFA-SCC). The primary materials of HVFA-SCC were Ordinary Portland Cement (OPC), fly ash as OPC replacement material, fine and coarse aggregates. The ratio of OPC to fly ash was 0.500:0.500, 0.475:0.525, and 0.450:0.550. The strength properties were determined based on compressive strength and porosity in hard concrete conditions at 28 days. While the flow abilities were identified conforming slump test and slump flow in fresh concrete condition directly after a mixing process. The results show that the substitution of 0.500 fly ash as shown by the HVFA-SCC-2 specimen gives the best strength properties and flow abilities. The highest strength was achieved at 32.4 MPa with a porosity of 0.48 at 28 days-age. The slump and slump flow properties also demonstrate a good flow behavior under EFNARC standard with a slump of 26.1 cm and a slump flow of 656.9 mm. It can be concluded that the 50% substitution ratio of fly ash can replace the role of OPC in HVFA-SCC and improve its strength properties and flow behavior. The use of fly ash also able to overcome the global warming issue regarding OPC production.
The effectiveness of physics learning tools based on discovery model with cognitive conflict approach toward student’s conceptual mastery
Authors: Gunawan G , Kosim K , Ibrahim I , Susilawati S , Syukur A 
Published: February 2021

Abstract
The Discovery learning model with the conflict cognitive approach is a teaching model designed to help students develop thinking skills by involving contradictory problems. The combination of the learning model with this approach means that the stages of the discovery learning model are combined with the learning stages of the cognitive conflict approach. This study aims to measure the effectiveness of discovery model learning tools with a cognitive conflict approach to students’ mastery of concepts. The research was a quasi-experiment with one group pretest and posttest. The population of the study was the students of class 10th grade high school in the city of Mataram with a sample of 65 students. Data collection using the test method. The test instrument used was a mastery of the concept in the form of 25 multiple-choice questions. The data collected were analyzed using the N-Gain score. The results showed that the use of discovery model physics learning tools with the cognitive conflict approach was effective to improve students’ conceptual mastery. The highest increase in concept mastery is in the sub-material of business with the highest cognitive level, namely remembering and understanding.
Antioxydant activity of the silver nanoparticles (AgNPs) synthesized using Nephrolepisradicans extract as bioreductor
Authors: Sutoyo Suyatno , Tukiran  , Khotijah S 
Published: February 2021

Abstract
The silver nanoparticle is a silver metal in nanosize which is currently widely applied in various fields, such as optics, electronics, biology, catalysts, health, food, and the environment. Silver nanoparticles can be synthesized by top-down and bottom-up methods. Bottom-up method can be done by reacting silver nitrate solution with plant extracts or known as green synthesis. This research is aimed to synthesis the silver nanoparticles using the methanolic extracts of Nephrolepisradicansferns as bioreductor and testing their antioxidant activity. The characterization of silver nanoparticles synthesized was carried out using the UV and FTIR spectrophotometer. The antioxidant activity test was carried out using the DPPH method. The results showed that the silver nanoparticles synthesized had an average diameter of 19,194 nm. Based on the IR spectrum, the functional groups that played an important role in the process of synthesis of silver nanoparticles were hydroxyl (OH), carbonyl (C = O) and ether (C-O). The silver nanoparticles had antioxidant activity in the medium category with IC50 of 106.442 ppm. Thus, the silver nanoparticles synthesized had the potential to be developed as antioxidants agent.
Students’ creative thinking skills in biology learning: fluency, flexibility, originality, and elaboration
Authors: Handayani S A , Rahayu Y S , Agustini R 
Published: February 2021

Abstract
This study aimed at analysing junior high school students’ creative thinking skills in biology learning. Creative thinking skills were measured by providing 5 open-ended essays with the indicators of fluency, flexibility, original thinking, and elaboration thinking. The present study used descriptive survey method to obtain quantitative data without special treatment. The research participants were 189 eight-grade students registered in nine public junior high schools in Bangkalan Regency. The results showed that the students’ creative thinking skills were still low at all indicators of creative thinking skills and included in an uncreative category, especially in detailing and producing innovations as well as troubleshooting problems using various approaches. However, their fluency got the best score compared to other indicators even though the classical passing grade was not achieved.
Natural Inhibitors to Increase the Antioxidant Activity of Yacon Tubers Syrup
Authors: Yuanita L , Wikandari P R , Dprastiwi  , Avandi R I , Sabtiawan W B , Sari D A P , Purnama E R , Maulidah E Y 
Published: February 2021

Abstract
Yacon tubers contain various bioactive including flavonoids and phenolic compounds, having antioksidant properties. The aim of the study was to obtain the effect of using natural inhibitors on the antioxidant activity of yacon tubers syrup. Phytochemical tests are used in the determination of flavonoids, phenolic content and antioxidant activity. Total content of phenol and flavonoid were measured by spectrophotometry, while the antioxidant activity was measured by DPPH method. The results showed that the use of natural inhibitors affects the antioxidant activity of yacon tuber syrup. The content of flavonoids and phenolic compounds in yacon syrup using natural inhibitors were 148.093±3.973 and 1244.595±67.672 ppm, significantly different from yacon syrup without inhibitors 100.923±9.277 and 978.912±54.223ppm. Antioxidant activity of syrup with natural inhibitors were 52.888% and IC50: 6.383, while yacon syrup without inhibitors were 24.388% and IC50: 11.180.
Laceability on a class of line graph of cartesian product of graphs
Authors: Neelannavar Shashidhar shekhar , Girisha A 
Published: February 2021

Abstract
Determining Hamiltonian path connectivity relationship among the nodes of the network increases its optimal connectivity. If a and b are nodes in a graph G so that d(a,b) = t and then P is a non-Hamilton path in G. G is referred to as K
+
r hypo -edge -Hamilton-t -laceable if P + re forms Hamilton path joining a and b, for each t for 1 ⩽ t ⩽ diamG. In this research article we investigate the hypo-edge-Hamilton laceability of line graph of Cartesian product of paths and cycles. Also we discuss the results on Cartesian product of path and wheel.
Semantic role labelling using transfer learning model
Authors: Nair Archana M , Bindu K R 
Published: February 2021

Abstract
Semantic role labelling plays a major role in determining the main predicate and related arguments and its relationship to the predicate. These arguments identify the semantic roles in a sentence such as agent, goal, result, etc. Many approaches have been made to perform the task of semantic role labelling. Many recent works incorporated neural networks making use of syntactic features of the given text such as part of speech tags, POS tagged dependency tree, etc. Other works included the use of BERT along with LSTM and MLP to create semantic role labeling models. In this work, BERT model has been fine tuned to be used as a classifier to detect the main predicate, arguments of the predicate and also the relationship arguments maintain with the predicate in the sentence. Using BERT to build a simple classifier creates an efficient semantic role labelling model. Model performance was assessed using metric accuracy, precision, recall and F1 score. This is achieved by comparing the output of each word with the predicted word and labels as well as the arguments in the prediction of the output.