bluuebunny/crossref_metadata_2025_split huggingface dataset:
TWIST1 Gene Variants Cause Craniosynostosis with Limb Abnormalities in Asian Patients
Authors: Dhiman Shalini , Panigrahi Inusha , Sharma Maryada , Chaudhry Chakshu , Garg Mahak 
Published: July 2023

AbstractThe TWIST1 gene codes for a highly conserved transcription factor in a basic helix–loop–helix transcription factors family. The pattern of inheritance is autosomal dominant in Saethre–Chotzen syndrome, Robinow–Sorauf syndrome, and Sweeney–Cox syndrome. Major features of these syndromes include coronal synostosis, vision problems, and deafness, and facial features include hypertelorism, low-set ears, arched eyebrows, beaked nose, maxillary hypoplasia, and other dysmorphisms including broad great toes, clinodactyly, brachydactyly, and cutaneous syndactyly. TWIST1 (bHLH) transcription factor regulates the formation of head and limbs in the embryo. We describe three families affected with craniosynostosis in whom a sporadic TWIST1 variant was identified on whole exome sequencing, chromosomal microarray, and Sanger sequencing.
Electron circular dichroism in hot electron emission from metallic nanohelix arrays
Authors: Nürenberg Daniel , Mark Andrew G. , Fischer Peer , Zacharias Helmut 
Published: July 2023

We investigate the electron emission from 3D chiral silver alloy nanohelices initiated by femtosecond laser pulses with a central photon energy of hν = 1.65 eV, well below the work function of the material. We find hot but thermally distributed electron spectra and a strong anisotropy in the electron yield with left- and right-circularly polarized light excitations, which invert in sign between left- and right-handed helices. We analyze the kinetic energy distribution and discuss the role of effective temperatures. Measurements of the reflectance and simulations of the absorbance of the helices based on retarded field calculations are compared to the anisotropy in photoemission. We find a significant enhancement of the anisotropy in the electron emission in comparison to the optical absorption. Neither simple thermionic nor a multiphoton photoemission can explain the experimentally observed asymmetries. Single photon deep-UV photoemission from these helices together with a change of the work function suggests a contribution of the chirally induced spin selectivity effect to the observed asymmetries.
The near-room-temperature upsurge of electrical resistivity in Lu-H-N is not superconductivity, but a metal-to-poor-conductor transition
Authors: Peng Di , Zeng Qiaoshi , Lan Fujun , Xing Zhenfang , Ding Yang , Mao Ho-kwang 
Published: July 2023

The recent report of superconductivity in nitrogen-doped lutetium hydride (Lu-H-N) at 294 K and 1 GPa brought hope for long-sought-after ambient-condition superconductors. However, the failure of scientists worldwide to independently reproduce these results has cast intense skepticism on this exciting claim. In this work, using a reliable experimental protocol, we synthesized Lu-H-N while minimizing extrinsic influences and reproduced the sudden change in resistance near room temperature. With quantitative comparison of the temperature-dependent resistance between Lu-H-N and the pure lutetium before reaction, we were able to clarify that the drastic resistance change is most likely caused by a metal-to-poor-conductor transition rather than by superconductivity. Herein, we also briefly discuss other issues recently raised in relation to the Lu-H-N system.
A first-principles study of MgSnN2 films using a DFT-1/2 approach
Authors: Chen Kai , Li Li , Chang Xiangrong , Hu Chunfeng , Feng Qingguo 
Published: July 2023

Abstract
The thin films of a newly discovered MgSnN2
Pnma phase were computationally investigated using a recently developed DFT-1/2 functional. It was showing that the properties of the investigated films closely relate to the thickness. For those films with odd number of layers, the band gaps are accordingly 2.040 eV, 2.102 eV and 2.107 eV for three, five and seven layers, showing an increasing order along with depth. As for those with even number of layers, the band gaps show a reduction from 2.488 eV for double layer to 2.210 eV for four-layer and then to 2.136 eV for six-layer. The change of the band gap mainly comes from the intralayer and interlayer bonding relation. The valence and conduction band edges increase monotonically along with the number of layers of thin films, except for the conduction band edge of double layer. Moreover, the absorption spectra shows promising absorption peaks within visible range. Therefore, fabrication of films with thickness control can potentially be used to expand the applications of MgSnN2 for energy harvest, photocatalysis, electronic and optoelectronic devices.
Effect of memristor’s potentiation-depression curves peculiarities in the convergence of physical perceptrons
Authors: Quiñonez Walter , Sánchez María José , Rubi Diego 
Published: July 2023

Abstract
Neuromorphic computing aims to emulate the architecture and information processing mechanisms of the mammalian brain. This includes the implementation by hardware of neural networks. Oxide-based memristor arrays with cross-bar architecture appear as a possible physical implementation of neural networks. In this paper, we obtain experimental potentiation-depression (P-D) curves on different manganite-based memristive systems and simulate the learning process of perceptrons for character recognition. We analyze how the specific characteristics of the P-D curves affect the convergence time -characterized by the EPOCHs-to-convergence (ETC) parameter- of the network. Our work shows that ETC is reduced for systems displaying P-D curves with relatively low granularity and non-linear and asymmetric response. In addition, we also show that noise injection during the synaptic weight actualization further reduces the ETC. The results obtained here are expected to contribute to the optimization of hardware neural networks based on memristors cross-bar arrays.
Quantitative comparison of impurity transport in turbulence reduced and enhanced scenarios at Wendelstein 7-X
Authors: Alcusón J.A. , Wegner Th. , Dinklage A. , Langenberg A. , Bähner J.-P. , Buttenschön B. , Edlund E.M. , Fuchert G. , García-Regaña J.M. , Grulke O. , Huang Z. , Porkolab M. , Stechow A.V. , Xanthopoulos P. , Zocco A. 
Published: July 2023

Abstract
We assess the turbulent particle transport being responsible for the limitation of the confinement and, thus, the overall performance of the neoclassically optimized stellarator Wendelstein 7-X. The radial particle transport is experimentally inferred from the evaluation of impurity injection into turbulence reduced and enhanced plasma scenarios revealing a completely different confinement behavior. The impact of the density gradient on the turbulent ion transport is theoretically estimated using large-scale non-linear gyro-kinetic simulations enabling, for the first time in Wendelstein 7-X, a quantitative comparison to the experimentally assessed impurity transport properties. We demonstrate that impurity transport in most of the Wendelstein 7-X discharges, up to now impossible to cover only with neoclassical estimations, is dominated by turbulence and can be modelled via gyro-kinetic simulations.
Deep multi-similarity hashing technique based on multi-label semantics
Authors: Cui Lichao , Bi Yuyang , Liu Mingxin 
Published: July 2023

Abstract
A deep multi-similarity hashing technique based on multi-label semantics has been proposed in this paper as a means of a new controlled deep hashing system for multi-label image retrieval. Our proposed methodology comprises hash code learning and semantically-aware similarity matrix creation. To create a similarity matrix that considers semantic context, we integrate label-level and semantic-level similarity. Using the higher-order statistics of deep features as inputs, we meticulously craft the multi-similarity loss and quantization error loss for hash code learning, ensuring that the learned binary codes retain their high-ranking similarity. Our suggested strategy is successful, as shown by several testing on CIFAR-10 and NUS-WIDE.
Broadcast Attention Learning for Real Telephone Speech Keyword Spotting
Authors: Ke Dengfeng , Du Baole , Tong Yunjia , Xu Yanyan 
Published: July 2023

Abstract
With the development of mobile smart devices, keyword spotting plays an important role in the interaction between machines and users. However, low storage and low energy consumption of mobile devices limit the accuracies of keyword spotting tasks. Therefore, how to achieve a balance between the high accuracy and low consumption is a research hotspot for a keyword spotting system. Convolutional neural networks have been widely adopted in recent keyword spotting systems due to their superior accuracies, and the success of the transformer architecture in many areas demonstrates the effectiveness of self-attention. In this paper, we combine self-attention and convolutional neural networks, and propose the broadcast attention learning network (BA-net), using a small number of parameters while achieving the accuracies of 97.18% and 78.44% respectively on the Google speech command dataset and a real telephone speech dataset.
Learning-Based UAV Coverage-Aware Path Planning in Large-scale Urban Environments
Authors: Shi Zhiyi , Huang Mengxing , Wu Di , Feng Zikai 
Published: July 2023

Abstract
In our research, the coverage-aware path planning problem of unmanned aerial vehicles (UAVs) in large-scale urban environments is studied. The goal of our research is to train the intelligent UAV to autonomously cover the area with satisfactory communication quality and finally arrive at the objective place without colliding with numerous skyscrapers. Such a multi-objective path planning problem is regularly non-convex and thus hard to converge. To this end, a distributed deep reinforcement learning (DRL)-based approach called Distributed-RPPO is developed to address the problem. To be specific, firstly we formulate our proposed problem as a Markov decision process (MDP). Since communication connectivity is the core constraint, a proximal policy optimization (PPO)-based SIR prediction network is designed for guiding the UAV to cover the area with superior communication connectivity, using only the UAV’s current location. Then we combine the PPO algorithm with the Long short-term memory (LSTM) structure to solve the basic navigation problem while only the historical interactive data is exploited for updating the parameter vector of the entire network. Simulation results demonstrate that our approach is capable of allowing the UAV to execute coverage-aware path planning tasks in large-scale urban environments. Furthermore, the learning efficiency is greatly improved compared to existing DRL-based approaches.
Target Threat Assessment in Air Combat with BP Neural Network for UAV
Authors: Sheng Lei , Li Lun , Wu Hanbao , Wang Peng 
Published: July 2023

Abstract
Target threat assessment is the most important element in command control communication and computer intelligence surveillance reconnaissance (C4ISR) system which is the key function in air combat situation analysis and can select the most valuable target to the commander. A threat assessment model of multi-UAV platform cooperative engagement built based on back propagate neural network (BPNN) is present in this paper, which provides a machine learning method for the threat assessment. The BPNN target threat assessment model has six input nodes, 10 hide nodes and 1 output node, which can fit the complicated nonlinear relationship between threat value and target behavior state. Simulation experiment is executed to verify the accuracy of the proposed BPNN target threat assessment method, and the result shows that the method is effective and can be applied to the real air combat.
Compliance verification method on CCAR 25.1443(c) for civil aircraft passenger oxygen system based on blood oxygen saturation
Authors: Cai Kun 
Published: July 2023

Abstract
This paper generally introduces the compliance verification method on airworthiness regulation CCAR 25.1443(c) of popular passenger oxygen system on civil aircraft firstly, then technical interpretation on regulation CCAR 25.1443(c) <Minimum Mass Flow of Supplemental Oxygen> is demonstrated and method of satisfying this regulation in Top-Down design is analyzed. For those passenger oxygen system based on blood oxygen saturation which is not directly fulfill the requirement of the regulation, equivalent altitude theory is established to transform mean tracheal oxygen partial pressure required by the regulation to blood oxygen saturation index of equivalent altitude, and user’s blood oxygen saturation of these passenger oxygen system is equivalent or higher than that transformed from the regulation through actual human body physiological test and theoretical analysis from aviation physiology, then compliance to the airworthiness regulation is demonstrated by Equivalent Level of Safety. This paper gives the compliance verification method on the airworthiness regulation for those passenger oxygen system based on blood oxygen saturation on civil aircraft and this method have been used and gotten approval of the Authority for a type of civil aircraft. This paper also provides theoretical basis and test basis for further airworthiness regulation revising of the regulation CCAR25.1443(c).
Study on Simulation Method to Determine the Inflation Threshold of Head Protective Airbag for High-speed Helicopter Pilot
Authors: Feng Zhijie , Fan Chengcheng , Ke Chuanyi , Zhang Haibo , Liu Tao 
Published: July 2023

Abstract
Compared with ordinary helicopters, the flying speed of high-speed helicopters is increased from 350km / h to 450km / h, and the crash speed is bound to exceed 12.8m / s, which greatly increases the probability of collision injury of the pilots’ head. The equipment, such as the traditional safety belts and crashworthy seats, cannot play an effective role in protection. In order to effectively improve the crashworthy survival rate of high-speed helicopter pilots, the main method in European and American countries is to design additional head protective airbags. The paper carried out the study on the simulation method for determining the high-speed helicopter head protection airbag inflation threshold value. Based on LS-DYNA, it has established the impact simulation model of the high-speed helicopter cockpit – seat – safety belt – pilot system. At the same time, the HIC value of the dummy head (no more than 1000N) and the pull force of the shoulder strap (no more than 8890N) are taken as the objective function to simulate the collision process of the man/seat system in multiple states of the high-speed helicopter. Finally, the inflation threshold of the head protective airbag is determined, which provides a critical support for the development of the head protective airbag.
Optimization Design and Experimental Study of Space High-precision Gripper
Authors: Duan Jiaqi , Deng Songbo , Zhi Jiankang , Yang Tao , Shi Yan , Zhao Hongchao 
Published: July 2023

Abstract
To meet the requirements of large tolerance, high precision, soft capture and high reliability of space gripper, a three finger end effector is developed. The gripper adopts a three fingered gripper configuration, which needs to be used together with the corresponding capture adapter. It is characterized by stable grip, high precision, large clamping force, large tolerance and strong correction ability. A 6-DOF microgravity equivalent device is innovatively designed, which adopts the combination of ball bearing and reverse counterweight. In this paper, a ground capture calibration platform is built to fully test the capture accuracy of the gripper. Considering the disturbance of capture load, carrying platform and other factors to capture, the capture stiffness of the gripper is tested and the capture stiffness curve is obtained. Both tests have verified the feasibility and effectiveness of the design.
Design and research of integrated components for microsatellite thermal control system
Authors: Tian Jiyun , Hao Kaiyuan , Feng Zhen , Deng Jinzhi , Zhang Jiangyuan , Zhao Liman , Feng Bo , Nie Shuai , Zhang Xiangbing , Leng Hongfei , Sha Sha 
Published: July 2023

Abstract
With the increasing development of aerospace technology, micro satellites have attracted high attention in the aerospace field due to their advantages such as short development cycle, low system investment, and flexible launch methods. Their high level of internal equipment integration, high heat flux density, complex and uncertain working modes pose new challenges to thermal control design. At present, the thermal control design of micro satellites still mainly adopts passive methods, while active thermal control design has been widely used in the fluid circuit of large spacecraft, mostly in the “task oriented design mode”. Its high design cost, long cycle, poor adaptability and other characteristics cannot be applied to low cost, short cycle, and flexible launch methods of micro satellites. In response to the new problems brought by the high power density and low thermal inertia of microsatellites in thermal control design, this paper proposes an active thermal control fluid loop system suitable for microsatellites. In addition to the cold plate and radiator at the equipment end, other equipment forms an integrated component in the form of a shared substrate. The integrated component has the characteristics of miniaturization, lightweight, and rapid replacement of board and card. Through simulation and technical analysis of key components, We believe that this scheme is reasonable and feasible, providing a new design scheme for the thermal control design of subsequent micro satellites.
Composite power supply topology design with energy-controlled distribution switches
Authors: Tian Liyuan , Liu Jingwei , Sun Guangda , Hou Shuyuan 
Published: July 2023

Abstract
An electric car’s battery is equivalent to a fuel vehicle’s engine, without a battery, it is equal to an empty shell. The single energy supply of the battery is difficult to meet the long-term endurance requirements of electric vehicles. Combined with the existing traditional composite power structure, the advantages and disadvantages of the existing traditional composite power supply structure are analyzed. A composite power supply structure combining a supercapacitor and power battery is proposed. The supercapacitor is responsible for the peak high power output, and the power battery is responsible for smooth power output. Simulation results show that the new composite power supply has noticeable improvements compared to traditional structures regarding energy loss and power distribution.
Research on verticality adjustment scheme of launch vehicle
Authors: Zhao Zhijie , Zeng Yuqin , Xiang Changzheng , Hu Zezhong , Liu Zhendong 
Published: July 2023

Abstract
This paper introduces the current situation of verticality adjustment of launch vehicles at home and abroad, and analyses the problems and risks existing in verticality adjustment of launch vehicles at home and abroad. A new scheme for vertical adjustment of a launch vehicle is proposed in this paper. The paper compares the new and the old schemes with the actual application of a certain type of launch vehicle. The new scheme cancels the level measuring instrument on the rocket, simplifies the operation of rocket verticality adjustment at the launching site, reduces the design requirements for the launching station system, avoids the risk of structural damage and tower interference caused by the data distortion of the horizontal measuring instrument and the verticality adjustment operation of the rocket body.
Study on CO emission during DOC assisted DPF regeneration
Authors: Zhang Deman , Zhang Lujing , Zhao Juntao , Li Bin , Deng Peng 
Published: July 2023

Abstract
Diesel particulate filters is the most effective post-treatment device used to reduce diesel exhaust particulate emissions. As the amount of particulate matter captured in the diesel particulate filter continues to increase, the exhaust pressure of the diesel engine gradually increases, thereby affecting the power performance of the diesel engine. Therefore, when the particulate matter capture amount reaches a certain value, the diesel particulate matter filter needs to be regenerated. Regeneration of diesel particulate filters will produce secondary pollution, of which CO is one of the most important secondary pollution. In this paper, the CO generation mechanism and influencing factors in the regeneration process of diesel particulate filters are analyzed. The effects of exhaust pressure and exhaust flow on CO emission during regeneration are measured through experiments. The results show that when the exhaust back pressure is greater than 80kPa, the CO solubility in the exhaust gas increases rapidly, and decreases linearly with the increase of exhaust flow during regeneration. Therefore, in order to reduce the solubility of CO in tail gas during regeneration of diesel particulate filters, the exhaust back pressure shall be less than 80kPa and the exhaust flow shall be as high as possible.
Study on the effect of combustion efficiency of variable thrust rocket engines
Authors: Wei Yanghong , Li Xiuqian , Che Xueke 
Published: July 2023

Abstract
In this paper, using methane/oxygen as the engine propellant, the single nozzle structure and the coaxial shear injection unit were used to analyse the influence of propellant flow change on the combustion chamber flow field and the influence of different factors on combustion efficiency. The results show that as the pressure of the combustion chamber increases, the concentration of the components increases, the combustion reaction speed is accelerated, and the maximum temperature of the combustion chamber increases, but the radial length of the high temperature area decreases; The pressure of the combustion chamber is proportional to the flow rate of the propellant, the flow of the propellant is reduced, the pressure of the combustion chamber is reduced as a whole, and the transportation speed of the material components in the combustion chamber is increased, which in turn reduces the maximum temperature of the combustion chamber, and ultimately leads to a decrease in combustion efficiency; In the process of continuous change of propellant flow, fuel flow, combustion chamber pressure, combustion chamber temperature and combustion chamber material composition jointly affect the combustion efficiency, but the influence of fuel flow on combustion efficiency dominates.
A fuzzy control method with the optimized intelligent weight function for directional control during aircraft autoland rollout
Authors: Zhang Zhen 
Published: July 2023

Abstract
Aircraft landing rollout process is a complex and high non-linearity process. The mutual effects of tire dynamics, aerodynamics and multi-body dynamics should be taken into considerations. It is difficult to be accurately expressed in mathematics. Aiming at obtaining a good directional control capability during aircraft autoland rollout, a comprehensive simulation system was constructed including all those three aspects above, and a fuzzy control method with intelligent weight function was adopted which is appropriate for systems difficult to be modeled exactly. In the paper’s work, the intelligent weight function was optimized by the power function for the first time. By adjusting the exponential k, the fuzzy control rules can be conveniently and reasonably optimized. Through a set of simulations without crosswind, the optimal k was obtained. Finally, the simulation tests under conditions of 20 kn crosswind with ±5° original drift angles were conducted with the system configured by the optimal k. Accroding to the results, the optimized fuzzy controller can give a good directional control performance.