bluuebunny/crossref_metadata_2025_split huggingface dataset:
A spin modulating device, tuned by the Fermi energy, in honeycomb-like substrates periodically stubbed with transition-metal-dichalkogenides
Authors: Belayadi Adel , Vasilopoulos Panagiotis 
Published: October 2022

Abstract
We investigate spin transport through graphene-like substrates stubbed vertically with transition-metal-dichalcogenides (TMDs). A tight-binding model is used based on a graphene-like Hamiltonian that includes different types of spin–orbit coupling (SOC) terms permitted by the C
3v
symmetry group in TMDs/graphene-like heterostructures. The results show a spin modulation obtained by tuning the strength and sign of the Fermi energy E

F
and not by varying the SOC strength as is mainly the case of Datta and Das. The spin conductance is directly controlled by the value of E

F
. In addition, a perfect electron-spin modulation is obtained when a vertical strain is introduced. In this case, the spin conductance exhibits a strong energy dependence. The results may open the route to a combination of graphene-like substrates with TMD stubs and the development of spin-transistor devices controlled by the Fermi energy rather than the SOC strength.
Solvothermal synthesis of nitrogen-doped carbon quantum dots for the sensitive detection of azithromycin
Authors: Zhou Zhilin , Li Zhiwen , Wang Jianghua , Wu Zhichuan , Fu Yingqiang 
Published: October 2022

Abstracts
Carbon quantum dots are widely used in various drug detection applications because of their excellent photoluminescence properties. However, there are few reports about the detection of macrolide antibiotics. In this work, blue emitting nitrogen-doped carbon quantum dots (N-CQDs) were synthesized by using a hydrothermal method, which exhibit the most prominent emission band at 464 nm at an excitation wavelength of 414 nm. And it was found that Cu2+ alone or the macrolide antibiotic azithromycin had no significant effect on the fluorescence intensity of N-CQDs. Still, when the two were mixed, they quenched the fluorescence of N-CQDs. Based on this, a fluorescence assay for azithromycin were developed. The fluorescence of the mixture of N-CQDs and Cu2+ showed good linearity with azithromycin (0.52–42.2 μM) with a low detection limit of 0.52 μM.
Self-assembly for preparing nanotubes from monolayer graphyne ribbons on a carbon nanotube
Authors: Song Bo , Cai Kun , Shi Jiao , Qin Qing-Hua 
Published: October 2022

Abstract
Graphyne nanotube (GNT), as a promising one-dimensional carbon material, attracts extensive attention in recent years. However, the synthesis of GNT is still challenging even in the laboratory. This study reveals the feasibility of fabricating a GNT by self-assembling a monolayer graphyne (GY) ribbon on a carbon nanotube (CNT) via theoretical and numerical analysis. Triggered by the van der Waals force from the CNT, a GY ribbon near the tube first winds upon the tube and then conditionally self-assembles to form a GNT. The self-assembly process and result are heavily influenced by the ambient temperature, which indicates the thermal vibration of the nanosystem. Molecular dynamic simulation results address the temperature range conducive to successful self-assembly. Different types of GNTs, e.g. α-, β-, and γ-GNTs with specified chirality (armchair, zigzag, and chiral), length, and radius, can be obtained via self-assembly by controlling the geometry of the GY ribbons and temperature. The present theoretical understanding is helpful for fabricating GNTs with predefined morphology.
Benchmark of a self-consistent dynamic 1D divertor model DIV1D using the 2D SOLPS-ITER code
Authors: Derks G L , Frankemölle J P K W , Koenders J T W , van Berkel M , Reimerdes H , Wensing M , Westerhof E 
Published: October 2022

Abstract
This paper presents DIV1D, a new 1D dynamic physics-based model of the divertor plasma under development to study and control the dynamics of detached plasmas. An innovative feature of DIV1D is that it mimics cross-field transport using an effective flux expansion and includes a neutral gas background outside the divertor leg. We outline a 1D mapping procedure for static 2D SOLPS-ITER simulations of divertor plasmas in the Tokamak á Configuration Variable, which can be used to benchmark 1D codes. For DIV1D good agreement is found for the most important divertor plasma quantities along the leg (e.g., densities temperature, heat flux, and velocity) both in a qualitative and quantitative sense. In addition, the comparison with SOLPS-ITER demonstrates that DIV1D self-consistently captures the evolution of divertor plasma quantities in the main heat flux channel as a function of the upstream plasma density in a scan from 2 to

3
×

10

19

m

−
3

. The agreement is ascribed to the unique account of cross-field transport in DIV1D with an effective flux expansion and the interaction with an external neutral gas background.
Photo-induced spatiotemporal bending of shape memory polymer beams
Authors: Wu Boliang , Liu Tianzhen , Chen Yuzhen , Jin Lihua 
Published: October 2022

Abstract
In response to external stimuli, such as heat, light, or magnetic fields, stimuli-responsive soft materials can change their current configuration to a new equilibrium state through non-equilibrium kinetic processes, including reaction, diffusion, and viscoelastic relaxation, which generates novel spatiotemporal shape-morphing behavior. Using a photothermal shape memory polymer (SMP) cantilever beam as a model system, this work analytically, numerically, and experimentally studies its non-equilibrium kinetic processes and spatiotemporal bending under light illumination. We establish a thermomechanical model for SMPs capturing the concurrent non-equilibrium processes of heat transfer and viscoelastic relaxation, which induces inhomogeneous temperature and strain distributions through the thickness of the beam, resulting in its bending and unbending. By varying the key dimensionless parameters, we theoretically and experimentally observe different types of bending dynamics. Moreover, our theory takes into consideration changes in the angles of incidence caused by extensive beam bending, and demonstrates that this effect can dramatically delay the bending due to reduction of the effective light intensity, which is further validated experimentally. This work demonstrates programmable and predictable spatiotemporal morphing of SMPs, and provides design guidelines for SMP morphing structures and robots.
An electrorheological elastomer with marigold-like TiO2 particles towards large tunable range of storage modulus
Authors: Liu Lingyun , Niu Chenguang , Ma Ning , Dong Xufeng 
Published: October 2022

Abstract
The tunable range of storage modulus is closely related to the performance of electrorheological elastomers (EREs). Previous studies have made great progress by adjusting the chemical composition of dielectric particles, properties of matrix and interface properties of particles/matrix, while the range of modulus variation of EREs is still narrow when the mass fraction of particles is relatively low. In this study, marigold-like TiO2 particles with complicated surface nanostructure were synthesized via a solvothermal method, and the EREs were prepared by using these particles as dispersion phase and silicone rubber as matrix. The storage modulus. The results illustrate that EREs containing marigold-like TiO2 particles (M-EREs) have large field-induced storage modulus (103.8 kPa) and significant relative ER effect (69.5%). The obvious performance results from the high crosslink density and strong friction between matrix and particles. These observations indicate a promising way to enhance the performance of EREs.
Fully-gapped superconductivity in single crystalline NbC and TaC probed by point-contact spectroscopy
Authors: Zhang Dongting , Chen Chufan , Yan Dayu , Shi Youguo , Lu Xin 
Published: October 2022

Abstract
We report our point-contact spectroscopy (PCS) study on the single-crystalline transition metal carbide NbC and TaC with a superconducting transition temperature

T

c

= 12.0 and 10.2 K, respectively. The differential conductance curves from both soft-PCS and mechanical-PCS (MPCS) on NbC at 1.9 K can be well fitted by a single-gap s-wave Blonder–Tinkham–Klapwijk model, and the temperature dependent gap follows a standard Bardeen–Cooper–Schrieffer (BCS) behavior, yielding

Δ

0

N
b
C

= 2.0 ± 0.3 meV and 2

Δ

0

N
b
C

/

k

B

T

c

= 3.9 ± 0.3 in the intermediate coupling regime. Similarly, our MPCS data on TaC crystals also show its superconducting gap as a function of temperature follows the BCS behavior, yielding

Δ

0

T
a
C

= 1.7 ± 0.1 meV and 2

Δ

0

T
a
C

/

k

B

T

c

= 3.9 ± 0.1. Our results thus support that both NbC and TaC are fully gapped s-wave superconductors.
Self-starting dynamics of continuous-waves stability in a generalized complex nonlinear transparent media for passively mode-locked lasers with fast saturable absorbers
Authors: Mbieda Ngomegni Frank G , Mbieda Petmegni Duplex S 
Published: October 2022

Abstract
The dynamics and stability of continuous-waves in a K-order complex nonlinear transparent media for passively mode-locked lasers with fast saturable absorbers is theoretically and systematically studied. The Benjamin modulational-instability techniques was used, assuming that in the mode-locked regime, the laser will find full expression just after the continuous-waves (cws) become unstable. A global analysis of the operation regimes are established. The model is described by a K-order term generated by K-photon ionization processes of a complex Ginzburg-Landau (CGL) equation, and plasma generation coupled to a first order differential Drude’s equation for the electron plasma density with electron-hole radiative recombination effects. Basis conditions were established for various stability regime for cw. From this, we observed that an increase in the number of photon rate K induced self-starting for normal dispersion regime. We were also able to establish that an increase in the laser input field intensity which essentially favored the self-starting laser process.
The higher-order nonlinearity and parametric effects on dust-ion-acoustic shock waves
Authors: Salam Md Abdus , Akbar M Ali , Ali M Zulfikar , Inc Mustafa 
Published: October 2022

Abstract
In the case of obliquely propagated small-amplitude shock waves, in this study, we investigate the impacts of higher-order nonlinearity as well as various parameters (such as dust concentrations, viscosity, trapping parameters, etc) on the shock wave structures. The considered magnetized plasma system consists of three components, such as inertial positive ions (mobile), trapped electrons, and immobile negatively charged dust particles. The modified Burgers equation with a dominating dissipative term (in which the viscous effect is significant) is derived initially to examine the lower-order nonlinear and dissipative effects, and then, to the best of our knowledge, the modified Burgers-type linear inhomogeneous equation is derived for the first time to observe the higher-order nonlinear effects on shock waves while the plasma contains trapped electrons. The reductive perturbation method is used for the derivation of the equations, whereas the Abel’s theorem and the method of variation of parameters are used for adding the higher-order effect. From the theoretical investigation, we observe that the higher-order nonlinearity has an increasing effect on the shock amplitude. Furthermore, the viscosity and dust concentration increase the shock width and the phase speed, respectively.
Extensive investigation of the 6Li + 27Al and 6He + 27Al systems using different models
Authors: Hamada Sh , Ibraheem Awad A 
Published: October 2022

Abstract
In this paper, the angular distributions (ADs) for 6Li + 27Al and 6He + 27Al elastic scattering in the energy range of 7–88 MeV and 9.5–13.4 MeV, respectively, are reanalyzed utilizing various phenomenological and microscopic potentials. The purpose of this work is to investigate the cluster nature of the weakly stable 6Li and the two-neutron halo 6He projectiles to check the associated breakup effects on the scattering data and to examine the consistency of the results obtained across different implemented potentials. A novel semi-microscopic dynamical polarization potential is applied to the 6Li + 27Al system to simulate the coupling effects on the breakup channel. The ADs for the 6He + 27Al system are described using the continuum discretized coupled channels (CDCC) method, which considers the coupling to the resonant (2+, 1.8 MeV) state and twelve continuum bins belonging to L = 0, 1, and 2 states as per the adopted model for truncation and discretization of the continuum.
Comparative study of galaxy clustering using halo approximation and mean-field theory in the light of modified theories of gravity
Authors: Bagat Hilal Ahmad , Hameeda Mir , Ganai Prince A 
Published: October 2022

Abstract
In this manuscript, we have explored the large-scale structure (LSS) of the Universe using the halo approximation of galaxies and the mean-field (mean-field approximation) theory of galaxy clusters. Employing the modified gravitational potential, which relies on Boltzmann’s statistics, we have analyzed the effect of galaxy clusters on the large-scale structure of the Universe. With both of these approximations, we have observed the significance of the modified potential. Also, the gravitational partition function obtained from the applied approximations has been used to determine the thermodynamic properties of these galaxy clusters. Besides this, the impact of these approximations on the derived quantities, such as Helmholtz free energy, entropy, internal energy, pressure, and chemical potential, was observed and is also evident from their respective plots along with their distribution functions. Importantly, the divergence of configurational integrals has been removed through the said approach.
Deriving causal relationships in resting-state functional connectivity using SSFO-based optogenetic fMRI
Authors: Han Xu , Cramer Samuel R , Zhang Nanyin 
Published: October 2022

Abstract

Objective. The brain network has been extensively studied as a collection of brain regions that are functionally inter-connected. However, the study of the causal relationship in brain-wide functional connectivity, which is critical to the brain function, remains challenging. We aim to examine the feasibility of using (SSFO)-based optogenetic functional magnetic resonance imaging to infer the causal relationship (i.e. directional information) in the brain network. Approach. We combined SSFO-based optogenetics with fMRI in a resting-state rodent model to study how a local increase of excitability affects brain-wide neural activity and resting-state functional connectivity (RSFC). We incorporated Pearson’s correlation and partial correlation analyses in a graphic model to derive the directional information in connections exhibiting RSFC modulations. Main results. When the dentate gyrus (DG) was sensitized by SSFO activation, we found significantly changed activity and connectivity in several brain regions associated with the DG, particularly in the medial prefrontal cortex Our causal inference result shows an 84%–100% accuracy rate compared to the directional information based on anatomical tracing data. Significance. This study establishes a system to investigate the relationship between local region activity and RSFC modulation, and provides a way to analyze the underlying causal relationship between brain regions.
Electronic thygmonasty model in Mimosa pudica biomimetic robot
Authors: Hanief Abdurrahman Bela , Irmansyah Irmansyah , Ahmad Faozan 
Published: October 2022

Abstract
Direct contact of random objects from the open environment to the panel surface of an electronic device may reduce the work efficiency and cause permanent damage. However, there is a possible way to solve this problem, notably by implementing an adaptive structure design inspired by plants. The Mimosa pudica plant provides several interesting information on its adaptability. Various studies have been conducted on the electrical properties of its organs explaining the phytoactuator and phytosensor cells that function within it. We combined the use of sensors, actuators, and synthetic excitable tissue as the first robot model purposed to mimic the behavior of the M. pudica plant. The Computer vision method was used to measure leaf angular movement and collected it as plant behavior data based on the mechanical stimulus experiment. The Robot structure has eight arms equipped with sensors, servo motors, and microcontrollers that are operated with two activation system models approach. The first model could imitate the stimulus process received by electronic circuits that generate action potential signals with a maximum voltage of 4.71–5.02 V and a minimum voltage of −5.33 to −3.45 V that propagated from node to node. The second model involves a trained artificial neural network model with a supervised learning pattern that provides 100% accuracy when choosing movement output based on the given combination. This robot imitates the M. pudica’s intelligent sensing capabilities and its ability to change the structure shape based on the thygmonasty experiments data which could provide an overview of how plants process information and perform hazard avoidance actions efficiently. Future applications for the technology inspired by the plant’s self-defense mechanisms are adaptive intelligent structures that can protect against harmful conditions, particle contamination, and adjusting panel structure to search for desired environmental parameters.
Application of Sustainable Development Goals for a Professional Post-Graduate Interior Architecture Program in Malaysia
Authors: Affandi T.M.I. , Za’bar Z. , Yaman R. , Noorhani N. 
Published: October 2022

AbstractSustainable Development Goals (SDGs) is one of the most coined terms in any aspect of life be it in economy, social or environment. The objective of this study is to apply SDGs for professional post-graduate interior architecture program in Malaysia and addressed the sustainable gap in curriculum development. The aim of this study is to implant and embed sustainable operational definitions and requirements based on curriculum mapping against SDGs goals. The methodology used in this study are content analysis of SDGS and its indicators, program curriculum mapping and experts’ discussion for study findings validation. The findings indicated that all SDGs related to interior architecture practice and socio-economic requirements are significant in the development of professional post-graduate interior architecture program in Malaysia.
Quantifying NO2 Reduction Before and During Covid-19 Movement Control Order In Major Cities And Industrial Area In Peninsular Malaysia Using Satellite Data Observation
Authors: Binti Hashim Nurul Farhani , Salim Pauziyah Mohammad , Salleh Siti Aekbal , Othman Ainon Nisa 
Published: October 2022

Abstract
Movement Control Order (MCO) which was the restrictions or the lockdown that were implemented by the government of Malaysia from 18 March 2020 to 31 March 2020. Our study aims to evaluate Nitrogen Dioxide (NO2) changes, before and during the MCO in Malaysia’s major cities especially the Klang Valley area as well as some industrial areas in the country. Tropospheric NO2 vertical column density from the TROPOspheric Monitoring Instrument (TROPOMI) was used to evaluate the spatial-temporal variations of the NO2 before and during the first phase of the MCO for the entire Peninsular. It is found that the NO2 concentrations is very prominent in Greater Klang Valley (GKV) but those location outside the GKV are related to Power Plant Stations in the country. Reduction of NO2 quantified by TROPOMI satellite showed a sharp decline for the daily readings, with the highest differences in Greater Klang Valley urban stations (− 52%) in Cheras, followed by Shah Alam (-43%). The lowest decline was recorded in Putrajaya with only (− 18%). The industrial site locations mostly show neutral readings or low increments as low as 5%. Only the location in Johor Bahru shows a very sharp increase up till 142% perhaps due to the ‘business as usual’ of the neighbouring country. Medium correlation between ground measurement and TROPOMI column was obtained for the Greater Klang Valley locations R=0.455 before the MCO implementation, and R=0.588 after the MCO implementation. These results suggested that air pollution improvement in Greater Klang Valley area is gained from the implementation of the government full scale MCO or lockdown measures. The transportation activities played the key role in decreasing the NO2 level in Greater Klang Valley.
Reducing Over-processing Construction Waste by Using Lean Construction Tools in The Malaysian Construction Industry
Authors: Marhani Mohd Arif , Jaapar Aini , Bari Norazmi Ahmad , Shaari Shazwan Mohamed 
Published: October 2022

AbstractThe construction industry is one of the most important industries for social and economic growth, as well as a source of wealth. Unfortunately, the construction industry has considerable costs, time, and quality issues, necessitating being resolved. This problem also happened in the Malaysian construction industry, mostly to meet the demands of infrastructure projects. Furthermore, over-processing refers to extra work done during the construction process that increases the likelihood of a project failing. This over-processing is caused by the consultant teams’ slow response time when a problem develops, as well as the site’s poor management system implementation. Lean construction (LC) is the alternative in resolving this non- physical construction wastes. LC is a constant enhancement to the construction processes in sustaining the organisation’s growth and profitability. This research aims to develop an LC tools framework that beneficial to future LC practitioners. This paper seeks to identify the most generated over-processing construction waste and the most LC tools to reduce over-processing construction waste on the site. This research uses a quantitative method approach, and the questionnaire survey has been sent to 310 G7 contractors registered with the Construction Industry Development Board Malaysia (CIDB) in Malaysia. A total of 116 questionnaires were returned, with a response rate of 37.4%. The findings revealed that the long approval process was the source of the majority of the site’s over-processing construction waste. Hence, management contracts, standard forms, total quality management, concurrent engineering and teamwork were the five most implemented LC tools by the LC practitioners in reducing over-processing waste. It is hoped that the outcomes of this research, able to help the LC practitioners deliver their projects. Thus, it would develop the future’s construction productivity towards a better quality of life.
Conceptual Framework for IBS Machinery Optimization
Authors: Abdullah M.Y. , Shukor A. S. A. , Mahbub R. , Mohammad M.F 
Published: October 2022

Abstract
This paper aims to examine variable for the Optimization Industrialise Building System Machinery in Malaysia. The study to address higher cost in IBS Machinery when adopt with technology. Objective for this study to identify theory use in the Industrialise Building System (IBS) Machinery in Malaysia. The study fully using Literature Review on the theory of design in Machinery and also IBS product. From underlaying theories, defined variables that used in Basic Framework must be synthesis process to get finding or result in this research. The finding of the Conceptual Framework variables will be better insight for optimization when doing design on Machinery and IBS product.