bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electric field induced spin resolved graphene p–n junctions on magnetic Janus VSeTe monolayer
Authors: Hu Yang , Ma Yongjie , Ren Weiwei , Pang Rui , Hao Dongfeng , Han Xiaoyu , Wang Fei , Cui Bin , Li Chong , Jia Yu 
Published: June 2022

AbstractGraphene basedp–njunctions exhibit intriguing and distinctive electronic properties, making them promising candidates for spintronic and spin photonic devices. While the attendant realization of magnetized graphenep–njunctions is highly desirable. Using first-principles calculations, we show that in the presence of magnetic proximity coupling effect of graphene supported on Te-termination magnetic Janus VSeTe monolayer (VSeTe/G), the graphene is readily spin-polarized and the Dirac bands near Fermi level keep intact. More interestingly, the external electric field (Eex) could significantly influence the bands of the spin down channel near Fermi level, due to the dominant electronic Coulomb screening effect. When theEexexceeds 0.35 eV Å−1with opposite direction to intrinsic dipole moment, the VSeTe/G heterostructure would turn intontype doping from the initial lightptype doping in the spin down channel. However, those of the spin up channel in the vicinity of Fermi level are inert and still preserve initialptype against external electric field. In terms of such distinctive differences between the Dirac bands in the spin up and spin down channels, we propose a featured spin resolved graphenep–njunctions on magnetic Janus VSeTe by applying appropriate external electric field. Our findings are generally applicable to other similar magnetic Janus systems (i.e. graphene/FeICl) and might provide a feasible strategy to realize stable spin resolved graphenep–njunctions extendedly.
British nuclear test veteran family trios for the study of genetic risk
Authors: Rake Christine , Gilham Clare , Scholze Martin , Bukasa Laurette , Stephens Jade , Simpson Jayne , Peto Julian , Anderson Rhona 
Published: June 2022

Abstract
The risk of radiation effects in children of individuals exposed to ionising radiation remains an ongoing concern for aged veterans of the British nuclear testing programme. The genetic and cytogenetic family trio (GCFT) study is the first study to obtain blood samples from a group of British nuclear test veterans and their families for the purposes of identifying genetic alterations in offspring as a consequence of historical paternal exposure to ionising radiation. In this report, we describe the processes for recruitment and sampling, and provide a general description of the study population recruited. In total, blood samples were received from 91 (49 test and 42 control) families representing veteran servicemen from the army, Royal Air Force and Royal Navy. This translated to an overall response rate of 14% (49/353) for test veterans and 4% (42/992) for control veterans (excluding responders known to be ineligible). Due to the lack of dose information available, test veterans were allocated to a three-point exposure rank. Thirty (61%) test veterans were ranked in the lower group. Nineteen (39%) of the 49 test veterans were classified in the mid (5 veterans; 10%)/high (14 veterans; 29%) exposure ranks and included 12 veterans previously identified as belonging to the special groups or listed in health physics documents. An increased number of test veteran families (20%), compared with control families (5%), self-reported offspring with congenital abnormalities (p = 0.03). Whether this observation in this small group is reflective of the entire UK test veteran cohort or whether it is selection bias requires further work. The cohort described here represent an important and unique family trio grouping whose participation is enabling genetic studies, as part of the GCFT study, to be carried out. The outcomes of these studies will be published elsewhere. ISRCTN Registry: 17461668.
Measurement method of a microspring-supported force plate with an external laser displacement meter
Authors: Sugimoto Takumi , Kawasaki Yuta , Toda Hirofumi , Takahashi Hidetoshi 
Published: June 2022

Abstract
Ground reaction force (GRF) is a significant factor for the evaluation of animal locomotion. Recently, micro force plates have been implemented as a GRF measurement method for tiny insects. Previous micro force plates were highly sensitive, but fragile and laborious to fabricate, because of the use of strain-sensing elements. Here, we applied high-resolution 3D printing and a noncontact displacement meter to a micro force plate for a fruit fly. 3D printing is suitable for easier, reproducible, and complex three-dimensional fabrication so that a force plate structure, which consists of a plate and four supporting 3D microsprings, is developed as an integrated unit. By detecting the displacement of the plate centre externally, when a fruit fly lands on the plate surface, the vertical GRF of the whole device is calculated via the spring constant. The force plate is sufficiently tough due to the supporting 3D microsprings. The spring constant of the microspring is designed to be approximately 5.98 N m−1, which enables a high-resolution external laser displacement meter to realize a force resolution of less than 1/50 of the body weight of a fruit fly. Providing that the four springs have the same spring constant and the displacement meter aligns at the plate centre, in principle, there is no positional error when converting from displacement to force. However, fabrication error does lead to spring constant differences. Here, we theoretically and experimentally determined the measurement point of the displacement sensor where the positional error caused by the difference in the spring constant of the four microsprings is compensated for. It was confirmed in the experiment that the calibration process improved the position error to be within ±1.5%. Finally, we demonstrated the GRF measurement of a fruit fly. The average GRF was 6.5 μN, which was equal to the weight of a fruit fly. Our proposed device can help evaluate the biomechanics of tiny insects.
90Y-CA/SPIONs for dual magnetic hyperthermia-radionuclide nanobrachytherapy of solid tumours
Authors: Vukadinović Aleksandar , Milanović Zorana , Ognjanović Miloš , Janković Drina , Radović Magdalena , Mirković Marija , Karageorgou Maria-Argyro , Bouziotis Penelope , Erić Slavica , Vranješ-Đurić Sanja , Antić Bratislav , Prijović Željko 
Published: June 2022

Abstract
Radiolabelled superparamagnetic iron oxide nanoparticles (SPIONs) are a promising nanomaterial for the development of dual radiation/hyperthermia cancer therapy. To that purpose, flower-shaped SPIONs with an exceptional heating capability were synthesised and coated with citrate, dextran or (3-aminopropyl)triethoxysilane. Both non-coated and coated SPIONs were nontoxic to CT-26 mouse colon cancer cells up to 1.0 mg ml−1
in vitro. In an oscillating magnetic field, citrate-coated SPIONs (CA/SPIONs) displayed the highest heating rate (SAR ∼ 253 W g−1) and the strongest hyperthermia effects against CT-26 cells. Labelling of the CA/SPIONs by the 90Y radionuclide, emitting β− radiation with an average/maximum energy of 0.94/2.23 MeV, and deep tissue penetration generated 90Y-CA/SPIONs intended for the therapy of solid tumours. However, intravenous injection of 90Y-CA/SPIONs in CT-26 xenograft-bearing mice resulted in low tumour accumulation. On the contrary, intratumoural injection resulted in long-term retention at the injection site. A single intratumoural injection of 0.25 mg CA/SPIONs followed by 30-min courses of magnetic hyperthermia for four consecutive days caused a moderate antitumour effect against CT-26 and 4T1 mouse tumour xenografts. Intratumoural application of 1.85 MBq/0.25 mg 90Y-CA/SPIONs, alone or combined with hyperthermia, caused a significant (P ≤ 0.01) antitumour effect without signs of systemic toxicity. The results confirm the suitability of 90Y-CA/SPIONs for monotherapy or dual magnetic hyperthermia-radionuclide nanobrachytherapy (NBT) of solid tumours.
Joint image reconstruction algorithm in Compton cameras
Authors: Roser J , Barrientos L , Bernabéu J , Borja-Lloret M , Muñoz E , Ros A , Viegas R , Llosá G 
Published: June 2022

Abstract

Objective. To demonstrate the benefits of using an joint image reconstruction algorithm based on the List Mode Maximum Likelihood Expectation Maximization that combines events measured in different channels of information of a Compton camera. Approach. Both simulations and experimental data are employed to show the algorithm performance. Main results. The obtained joint images present improved image quality and yield better estimates of displacements of high-energy gamma-ray emitting sources. The algorithm also provides images that are more stable than any individual channel against the noisy convergence that characterizes Maximum Likelihood based algorithms. Significance. The joint reconstruction algorithm can improve the quality and robustness of Compton camera images. It also has high versatility, as it can be easily adapted to any Compton camera geometry. It is thus expected to represent an important step in the optimization of Compton camera imaging.
A deep learning approach to estimate pulse rate by remote photoplethysmography
Authors: Lampier Lucas Côgo , Valadão Carlos Torturella , Silva Leticia Araújo , Delisle-Rodríguez Denis , Caldeira Eliete Maria de Oliveira , Bastos-Filho Teodiano Freire 
Published: June 2022

Abstract

Objective. This study proposes a U-net shaped Deep Neural Network (DNN) model to extract remote photoplethysmography (rPPG) signals from skin color signals to estimate Pulse Rate (PR). Approach. Three input window sizes are used in the DNN: 256 samples (5.12 s), 512 samples (10.24 s), and 1024 (20.48 s). A data augmentation algorithm based on interpolation is also used here to artificially increase the number of training samples. Main results. The proposed model outperformed a prior-knowledge rPPG method by using input signals with window of 256 and 512 samples. Also, it was found that the data augmentation procedure only increased the performance for the window of 1024 samples. The trained model achieved a Mean Absolute Error (MAE) of 3.97 Beats per Minute (BPM) and Root Mean Squared Error (RMSE) of 6.47 BPM, for the 256 samples window, and MAE of 3.00 BPM and RMSE of 5.45 BPM for the window of 512 samples. On the other hand, the prior-knowledge rPPG method got a MAE of 8.04 BPM and RMSE of 16.63 BPM for the window of 256 samples, and MAE of 3.49 BPM and RMSE of 7.92 BPM for the window of 512 samples. For the longest window (1024 samples), the concordance of the predicted PRs from the DNNs and the true PRs was higher when applying the data augmentation procedure. Significance. These results demonstrate a big potential of this technique for PR estimation, showing that the DNN proposed here may generate reliable rPPG signals even with short window lengths (5.12 s and 10.24 s), suggesting that it needs less data for a faster rPPG measurement and PR estimation.
A helical grid equivalent circuit model for an intra-layer no-insulation coil
Authors: Wang Kangshuai , Wang Qiuliang , Liu Jianhua , Qin Lang , Zhou Benzhe , Wang Lei , Zhang Zili , Dai Yinming 
Published: June 2022

Abstract
The intra-layer no-insulation (LNI) coil, which has the advantages of self-protection and high magnetic field homogeneity, is of great potential in HTS NMR and MRI applications. Compared to the more commonly-used double-pancake coils, the transient characteristics are more complex due to additional axial current. While the present circuit model cannot accurately describe the geometry of the LNI coil and the internal characteristics of each turn of the coil, a helical grid equivalent circuit model with consideration of types of mutual inductances is proposed in this paper. In the circuit model, details of the coil are characterized with subdivided helical surface elements in each turn, and each helical surface element can be equivalent to corresponding circuit parameters. The circuit model is verified by a comparison experiment with an intra-layer insulation coil. And elaborate current distributions in each turn of the LNI coil can be obtained with this circuit model. Analysis results demonstrate that the azimuthal current and the axial current are always symmetrically distributed about the middle plane, and the radial current is always anti-symmetrically distributed about the midplane. The circuit model can be used to simulate the quench electromagnetic characteristics of the LNI coil in the future.
Low-noise second-order gradient SQUID current sensors overlap-coupled with input coils of different inductances
Authors: Xu Da , Li Jinjin , Wang Shijian , Ma Mengze , Cao Wenhui , Wang Xueshen , Zhang Mingyu , Zhao Jianting , Zhong Qing 
Published: June 2022

Abstract
In this study, we developed a series of second-order gradient overlap-coupling octagonal superconducting quantum interference device (SQUID) current sensors for transition edge sensor (TES) applications. According to the requirements of TESs, we designed various parameters of SQUID current sensors, including different Josephson junction (JJ) sizes, different hysteresis and screening parameters, input coils with different inductances. The superconducting loop, input coil, and feedback coil of the SQUID current sensors adopt a second-order gradient structure, which can effectively enhance their anti-interference electromagnetic capability. Further, all the coupling structures between the superconducting loop and input/feedback coil adopt overlap-coupling octagonal structures, which can effectively enhance the coefficient of coupling mutual inductance. A series of second-order gradient SQUID current sensors overlap-coupled with input coils of 1.5, 2.5, and 5.5 turns based on Nb/Al–AlO
x
/Nb JJs were successfully fabricated on 2 inch silicon wafers by optimising the fabrication processes. From the simulation results, a minimal magnetic coupling factor of 0.02 between the feedback coil and input coil is obtained in the overlapped structure of the SQUID current sensor with an input coil of 1.5 turns; thus the magnetic interference between the feedback coil and input coil in this design is negligible. According to the measurement results at liquid–helium temperatures, SQUID current sensors with second-order gradient overlap-coupling octagonal structures have an excellent capability to weaken environmental electromagnetic interference. The SQUID current sensor with an input coil of 5.5 turns has the smallest current sensitivity, 2.4 μA/Φ0 and lowest current noise, 1 pA (√Hz)−1 compared with those of other input coils of different turns. The SQUID current sensor with an input coil of 2.5 turns has the lowest flux noise, 0.3 μΦ0 (√Hz)−1, and the lowest coupled noise energy, 11 h, among all the three different input coils, which are balanced results between the input inductance and the device noise. SQUID current sensors with second-order gradient overlap-coupling octagonal structures show low flux noise, low current noise, and low coupled noise energy, which can be compared with the state-of-art SQUID current sensor worldwide, and can satisfy the requirements of TES applications.
A model of interacting quantum neurons with a dynamic synapse
Authors: Torres J J , Manzano D 
Published: June 2022

Abstract
Motivated by recent advances in neuroscience, in this work, we explore the emergent behaviour of quantum systems with a dynamical biologically-inspired qubits interaction. We use a minimal model of two interacting qubits with an activity-dependent dynamic interplay as in classical dynamic synapses that induces the so-called synaptic depression, that is, synapses that present synaptic fatigue after heavy presynaptic stimulation. Our study shows that in absence of synaptic depression the two-qubits quantum system shows typical Rabi oscillations whose frequency decreases when synaptic depression is introduced, so one can trap excitations for a large period of time. This creates a population imbalance between the qubits even though the Hamiltonian is Hermitian. This imbalance can be sustained in time by introducing a small energy shift between the qubits. In addition, we report that long time entanglement between the two qubits raises naturally in the presence of synaptic depression. Moreover, we propose and analyse a plausible experimental setup of our two-qubits system which demonstrates that these results are robust and can be experimentally obtained in a laboratory.
SU (1,1) the hidden dynamical symmetry group for an exact bound state of the Hulthen potential
Authors: Etebu Woyengipere Oluwaseun 
Published: June 2022

Abstract
In this research work, an exact normalised bound eigenstate and energy eigenvalue of the Hulthen potential, for the zero angular momentum within the framework of the non-relativistic time independent Schrödinger wave equation were obtained using the Nikiforov–Uvarov method. Also, their self-adjoint differential creation and annihilation (ladder) operators were derived, andfrom the commutation relations their Casimir operator was defined. These results showed that the non-compact

S
U

(
1
,
1
)

group is the dynamical group for this exact bound state, described by the representation

D

+

(
i
)

with a spectrum bounded below.
Restoration of complex movement in the paralyzed upper limb
Authors: Hasse Brady A , Sheets Drew E G , Holly Nicole L , Gothard Katalin M , Fuglevand Andrew J 
Published: June 2022

Abstract

Objective. Functional electrical stimulation (FES) involves artificial activation of skeletal muscles to reinstate motor function in paralyzed individuals. While FES applied to the upper limb has improved the ability of tetraplegics to perform activities of daily living, there are key shortcomings impeding its widespread use. One major limitation is that the range of motor behaviors that can be generated is restricted to a small set of simple, preprogrammed movements. This limitation stems from the substantial difficulty in determining the patterns of stimulation across many muscles required to produce more complex movements. Therefore, the objective of this study was to use machine learning to flexibly identify patterns of muscle stimulation needed to evoke a wide array of multi-joint arm movements. Approach. Arm kinematics and electromyographic (EMG) activity from 29 muscles were recorded while a ‘trainer’ monkey made an extensive range of arm movements. Those data were used to train an artificial neural network that predicted patterns of muscle activity associated with a new set of movements. Those patterns were converted into trains of stimulus pulses that were delivered to upper limb muscles in two other temporarily paralyzed monkeys. Main results. Machine-learning based prediction of EMG was good for within-subject predictions but appreciably poorer for across-subject predictions. Evoked responses matched the desired movements with good fidelity only in some cases. Means to mitigate errors associated with FES-evoked movements are discussed. Significance. Because the range of movements that can be produced with our approach is virtually unlimited, this system could greatly expand the repertoire of movements available to individuals with high level paralysis.
Study on Properties of Cement Stabilized Macadam with Recycled Aggregate of Different Replacement Rates under Vibrating Mixing
Authors: Si Yongming , Wang Wangning , Cao Feng , Li Taotao , Zhang Liangqi , Lv Xiaowu 
Published: June 2022

Abstract
It has the goal of green construction to use recycled aggregate of waste cement concrete in cement stabilized macadam base to replace recycled aggregate of base. In this paper, the properties of cement stabilized macadam with natural aggregate and recycled aggregate under different replacement ratios are compared. The test results show that the physical properties (apparent density, mud content, crushing value, water absorption, etc.) of recycled aggregate are lower than those of natural aggregate, but meet the requirements of the specification. With the increase of the proportion of recycled aggregate in cement stabilized macadam, the optimal moisture content required for the maximum dry density of fully recycled aggregate mixture increased by 20.6% compared with that of natural aggregate mixture; the unconfined compressive strength of cement stabilized macadam with recycled aggregate at 7d and 28d showed a downward trend, and the strength of cement stabilized macadam with fully replaced recycled aggregate at 7d and 28d decreased by 10% and 1% respectively 0%. In addition, the strength of full substitution 28 increased by 11.1%. The research shows that the recycled aggregate base can meet the construction requirements, and the vibration mixing has better advantages, which provides a reference for engineering application.
Effect of Temperature on Properties of Concrete in Stirring Process
Authors: Yan Qingyao , Shen Zhenzong , Wang Zengqiang , Yin Zhuangfei , Yao Yunshi 
Published: June 2022

Abstract
Taking composite silicate concrete as the research object, the double horizontal shaft mixing method is used to mix concrete. The setting time, strength and workability tests are carried out to study the influence of temperature on the mechanical properties of concrete in the ordinary mixing process. The results show that the temperature has great influence on the setting time, compressive strength and splitting strength of concrete. Reasonable control of cement temperature has important guiding significance and theoretical basis in practical construction application.
Effect of Particle Combination Ratio of Soil Rock Mixture on Shear Strength
Authors: Li Shengting , Zhou Rui , Yang Fan , Zhang Yangchun , Du Yongjun 
Published: June 2022

Abstract
With the increase of fine-grained soil content, the properties continue to transform to fine-grained soil, which will affect the permeability and strength of the soil. Even if the content of silt and clay in fine-grained soil is not high, it will significantly impact soil properties. When the content of coarse particles is low, the nature of soil depends on the fine particles in the soil. When the content of coarse particles gradually increases, and the coarse particles are overhead, the nature of soil only depends on the coarse-grained soil, and the influence of fine particles on the nature of soil gradually weakens. To reveal the interaction mechanism between coarse and fine particles in high moisture content clayey gravel, this project conducts a systematic experimental study on the high moisture content clayey gravel, takes 0.5mm as the particle size limit, takes the separation of coarse and fine particles in the soil sample as the control test, and systematically tests the shear strength of the separated fine particles; systematic shear strength tests were also carried out on the separated coarse particles. In addition, shear strength tests were carried out on soil samples with different fine particle content.
Research on Data Fusion Method of Revit and Non-BIM Software in Complex Shaped Buildings
Authors: Gao Chao , Li Shengting , Wang Zhenkai 
Published: June 2022

Abstract
BIM is a collection of building information data in the whole process, and it is of great significance to integrate non-BIM data into BIM. As the most mainstream BIM software in the world, Revit can complete almost all BIM data, but it still cannot be completed for some complex shapes. Therefore, it needs to be done with traditional 3D software. Therefore, fusing the data of non-BIM software into Revit and forming BIM data has important research significance and application value. This research introduces in detail the method and development process of fusing Revit data and Rhino data.