bluuebunny/crossref_metadata_2025 huggingface dataset:
A smart adhesive Janus hydrogel for non-invasive cardiac repair and tissue adhesion prevention
Authors: He Yutong , Li Qian , Chen Pinger , Duan Qixiang , Zhan Jiamian , Cai Xiaohui , Wang Leyu , Hou Honghao , Qiu Xiaozhong
Published: December 2022

Multifunctional hydrogel with asymmetric and reversible adhesion characteristics is essential to handle the obstructions towards bioapplications of trauma removal and postoperative tissue synechia. Herein, we developed a responsively reversible and asymmetrically adhesive Janus hydrogel that enables on-demand stimuli-triggered detachment for efficient myocardial infarction (MI) repair, and synchronously prevents tissue synechia and inflammatory intrusion after surgery. In contrast with most irreversibly and hard-to-removable adhesives, this Janus hydrogel exhibited a reversible adhesion capability and can be noninvasively detached on-demand just by slight biologics. It is interesting that the adhesion behaves exhibited a molecularly encoded adhesion-adaptive stiffening feature similar to the self-protective stress–strain effect of biological tissues. In vitro and in vivo experiments demonstrated that Janus hydrogel can promote the maturation and functions of cardiomyocytes, and facilitate MI repair by reducing oxidative damage and inflammatory response, reconstructing electrical conduction and blood supply in infarcted area. Furthermore, no secondary injury and tissue synechia were triggered after transplantation of Janus hydrogel. This smart Janus hydrogel reported herein offers a potential strategy for clinically transformable cardiac patch and anti-postoperative tissue synechia barrier.
Non-reciprocal multifarious self-organization
Authors: Osat Saeed , Golestanian Ramin
Published: December 2022

A hallmark of living systems is the ability to employ a common set of building blocks that can self-organize into a multitude of different structures. This capability can only be afforded in non-equilibrium conditions, as evident from the energy-consuming nature of the plethora of such dynamical processes. To achieve automated dynamical control of such self-assembled structures and transitions between them, we need to identify the fundamental aspects of non-equilibrium dynamics that can enable such processes. Here we identify programmable non-reciprocal interactions as a tool to achieve such functionalities. The design rule is composed of reciprocal interactions that lead to the equilibrium assembly of the different structures, through a process denoted as multifarious self-assembly, and non-reciprocal interactions that give rise to non-equilibrium dynamical transitions between the structures. The design of such self-organized shape-shifting structures can be implemented at different scales, from nucleic acids and peptides to proteins and colloids.
Shallow magmatic intrusion evolution below La Palma before and during the 2021 eruption
Authors: Fernández José , Escayo Joaquin , Camacho Antonio G. , Palano Mimmo , Prieto Juan F. , Hu Zhongbo , Samsonov Sergey V. , Tiampo Kristy F. , Ancochea Eumenio
Published: December 2022

La Palma, Canary Islands, underwent volcanic unrest which culminated in its largest historical eruption. We study this unrest along 2021 using Interferometric Synthetic Aperture Radar (InSAR) and a new improved interpretation methodology, comparing achieved results with the crustal structure. We reproduce the final phase of La Palma volcanic unrest, highligthing a shallow magma accumulation which begins about 3.5 months before the eruption in a crustal volume charactherized by low density and fractured rocks. Our modeling, together with our improved pictures of the crustal structure, allows us to explain the location and characteristics of the eruption and to detect failed eruption paths. These can be used to explain post-eruptive phenomena and hazards to the local population, such as detected gases anomalies in La Bombilla and Puerto Naos. Our results have implications for understanding volcanic activity in the Canaries and volcano monitoring elsewhere, helping to support decision-making and providing significant insights into urban and infrastructure planning in volcanic areas.
Time-of-flight spectroscopy for laser-driven proton beam monitoring
Authors: Reimold Marvin , Assenbaum Stefan , Bernert Constantin , Beyreuther Elke , Brack Florian-Emanuel , Karsch Leonhard , Kraft Stephan D. , Kroll Florian , Loeser Markus , Nossula Alexej , Pawelke Jörg , Püschel Thomas , Schlenvoigt Hans-Peter , Schramm Ulrich , Umlandt Marvin E. P. , Zeil Karl , Ziegler Tim , Metzkes-Ng Josefine
Published: December 2022

Application experiments with laser plasma-based accelerators (LPA) for protons have to cope with the inherent fluctuations of the proton source. This creates a demand for non-destructive and online spectral characterization of the proton pulses, which are for application experiments mostly spectrally filtered and transported by a beamline. Here, we present a scintillator-based time-of-flight (ToF) beam monitoring system (BMS) for the recording of single-pulse proton energy spectra. The setup’s capabilities are showcased by characterizing the spectral stability for the transport of LPA protons for two beamline application cases. For the two beamline settings monitored, data of 122 and 144 proton pulses collected over multiple days were evaluated, respectively. A relative energy uncertainty of 5.5% (1$$\upsigma$$
σ
) is reached for the ToF BMS, allowing for a Monte-Carlo based prediction of depth dose distributions, also used for the calibration of the device. Finally, online spectral monitoring combined with the prediction of the corresponding depth dose distribution in the irradiated samples is demonstrated to enhance applicability of plasma sources in dose-critical scenarios.
Strong resonance response with ultrahigh quality factor in grating-multilayer systems based on quasi-bound states in the continuum
Authors: Ruan Yuhang , Li Yuke , Hu Zhengda , Wang Jicheng , Wang Yixiang
Published: December 2022

Optical bound states in the continuum (BICs) exist in many photonic crystals and periodic structures with a strong resonance and ultrahigh Q factor. Such phenomena can be used in the designs of narrowband transmission filters, lasers, and sensors. In this paper, we consider the energy bands of a complex structure consisting of a grating and a multilayer substructure to obtain the position of the BIC in the structure. Hence, the higher Q factor can be obtained in the grating-multilayer structure than can be realized in the simple grating geometry. We analyze the wave propagation process in the complex structure and the change in the Q value via the use of transmission matrix theory. In addition, the reflectance spectrum is found to exhibit a series of asymmetric line-shapes with different values of the asymmetry parameter, δ, due to the interference between the two channels. One of these channels is the broadband channel, induced by the Fabry–Perot resonance, and the other channel is the narrowband channel, induced by guided mode resonance. Quasi-BICs are seen to transform into BICs as the value of δ is decreased gradually to zero. Therefore, a large Goos–Hänchen shift can be achieved as a result of the high Q factor and quasi-BIC. This work designs a complex structure with ultrahigh Q factor and strong resonance properties, which has significant implications for exploring the phenomenon of BICs.
Morphometric analysis of paired fibula and mandible for optimal fibular mandibular reconstruction in a Chinese population
Authors: Ma Xiaojie , Wang Zhuo , Wan Jinbo , Xu Jiamin , Wang Haoran , Bian Yifeng , Wan Linzhong , Du Yifei , Wang Yuli , Yuan Hua
Published: December 2022

To analyze the morphology of paired fibula and mandible aiming to choose optimal fibular segments for mandibular reconstruction in a Chinses population. A total of 118 cases of paired mandible and fibula was collected. All patients were received preoperative cone beam CT (CBCT) scans for mandibular evaluation and CT-angiographical (CTA) examination of the bilateral lower legs, respectively. The cross-sectional morphological differences between proximal (Side P), middle (Side M) and distal (Side D) segments of fibula and anterior, premolar and molar areas of mandible were compared. The most frequent cross-sectional shape at Side D, Side M and Side P portion of fibula was circular (75.4%), triangular (67.8%) and circular (49.2%), respectively. In anterior, premolar and molar areas of mandible, the most of the cross-section was s-shape (90.82%), straight (83.64%) and oblique (91.89%), respectively. The height and width of upper one third (W1) at Side M were significantly larger than those of Side D and Side P (p < 0.0001). There was significantly difference of width of lower one third (W2) among three groups (p < 0.0001). As for the height and widths of mandible, there was significant difference among anterior, premolar and molar regions (p < 0.0001). The rate of height between Side M of fibula and mandible (H (Side M/area)) was significantly larger than H (Side D/area) and H (Side P/area) (p < 0.01). The ratio of W1 between Side D of fibula and mandible (W1 (Side D/area)) was significantly larger than that of W1 (Side M/area) and W1 (side P/area) (p < 0.05). As for the ratio of W2 between fibula and mandible (W2 (plane/area)), there was significant difference among groups (p < 0.01). The distal and middle segments of fibula were suitable for reconstructing the anterior area of mandible and the proximal segment of fibula was more compatible with the premolar and molar areas of mandible.

Clinical Relevance Presurgical morphometric analysis of paired fibula and mandible aids for optimal fibular-based mandibular reconstruction.
Different ratios of DHA/EPA reverses insulin resistance by improving adipocyte dysfunction and lipid disorders in HFD-induced IR mice
Authors: Yu Siyan , Xie Qunying , Tan Weifeng , Hu Manjiang , Xu Guiling , Zhang Xiao , Xie Guanghang , Mao Limei
Published: December 2022

Different ratios of DHA/EPA-reversed IR by improving adipocyte dysfunction and lipid disorders in HFD-induced IR mice, and a 1.5 : 1 ratio of DHA/EPA (4%) supplement is recommended in people with abnormal glucose metabolism.
Effect of the simulated digestion process on the chlorogenic acid trapping activity against methylglyoxal
Authors: Colombo Raffaella , Paolillo Mayra , Frosi Ilaria , Ferron Lucia , Papetti Adele
Published: December 2022

The in vitro simulated gastrointestinal process strongly affected the 5-O-caffeoylquinic acid capacity to trap methylglyoxal and its resulting antiglycation activity.
Disordered spin gapless semiconducting CoFeCrGa Heusler alloy thin films on Si (100): experiment and theory
Authors: Mishra Vireshwar , Kumar Amar , Pandey Lalit , Gupta Nanhe Kumar , Hait Soumyarup , Barwal Vineet , Sharma Nikita , Kumar Nakul , Chandra Sharat , Chaudhary Sujeet
Published: December 2022

Spin gapless semiconductors (SGSs) are an intriguing class of quantum materials that bridge the gap between half-metallic ferromagnets and semiconductors.
DNA origami tubes with reconfigurable cross-sections
Authors: Kucinic Anjelica , Huang Chao-Min , Wang Jingyuan , Su Hai-Jun , Castro Carlos E.
Published: December 2022

This work presents the developed a multi-component DNA origami 6-bar mechanism that can be assembled into tubes with reconfigurable cross-sections, bridging complex shape transformations of DNA devices to micron-scale assemblies.
A tandem effect of atomically isolated copper–nitrogen sites and copper clusters enhances CO2electroreduction to ethylene
Authors: Zhang Ying , Gui Jianing , Wang Dan , Mao Junjun , Zhang Chenchen , Li Fengwang
Published: December 2022

A Cu-based tandem catalyst shows high ethylene selectivity from the electrochemical CO2reduction reaction. In the catalyst, high-concentration CO is generated at one site and then converted with low energy barrier to ethylene at another site.
Hollow silica-coated porous carbon with embedded iron oxide particles for effective methylene blue degradation
Authors: Wang Kai , Zhao Kang , Meng Qingnan , Bai Qian , Li Xin , Hu Huating , Jiao Hua , Tang Yufei
Published: December 2022

A novel catalyst, hollow silica-coated porous carbon embedded with iron oxide (FeOx@C/SiO2), was synthesized by the extended Stöber method.
Cellulose nanocrystals isolated from corn leaf: straightforward immobilization of silver nanoparticles as a reduction catalyst
Authors: Thach-Nguyen Roya , Lam Hoa-Hung , Phan Hong-Phuong , Dang-Bao Trung
Published: December 2022

As the most abundant natural biopolymer on earth, celluloses have long-term emerged as a capable platform for diverse purposes.
Metal–organic frameworks incorporating azobenzene-based ligands as a heterogeneous Lewis-acid catalyst for cyanosilylation of imines
Authors: Saeed Aasim , Zhang Xiao-Yu , Huang Zi-Qing , Zhao Xin-Yang , Xu Lei , Zhao Yue , Sun Wei-Yin , Zhao Jing
Published: December 2022

Two novel MOFs were synthesized by the reaction of azobenzene-based ligands with Zn(NO3)2/CdCO3and could both function as heterogeneous Lewis-acid catalysts towards cyanosilylation of imines.
Phyto-synthesized facile Pd/NiOPdO ternary nanocomposite for electrochemical supercapacitor applications
Authors: Shaheen Irum , Ahmad Khuram Shahzad , Zequine Camila , Gupta Ram K. , Thomas Andrew G. , Qureshi Anjum , Malik Mohammad Azad , Niazi Javed H.
Published: December 2022

The natural phyto bio-factories were successfully utilized for the cost-effective synthesis of facile Pd/NiOPdO ternary nanocomposite for energy storage application with enhanced electro-active site.
Visible-to-near-infrared light-harvesting A-π-D-π-A porphyrins for boosted photocatalytic hydrogen evolution
Authors: Bodedla Govardhana Babu , Piradi Venkatesh , Imran Muhammad , Zhao Jianzhang , Zhu Xunjin , Wong Wai-Yeung
Published: December 2022

Visible-to-near-infrared light-harvesting A-π-D-π-A porphyrins, ZnP-CPDT and ZnP-BT are proved to be highly efficient in photocatalytic hydrogen evolution (PHE) with the highest PHE rate (ηH2) of 1.80 mmol g−1 h−1 for ZnP-CPDT.
Chronic GPER activation prompted the proliferation of ileal stem cell in ovariectomized mice depending on Paneth cell–derived Wnt3
Authors: Liu Jianbo , Liu Kaixuan , Chai Shiquan , Xu Runze , Wang Ying , Zhang Yundi , Wang Shuanglian , Liu Chuanyong , Xue Bing
Published: December 2022

Menopausal women often face long-term estrogen treatment. G protein-coupled estrogen receptor (GPER) expressed in intestinal crypt was activated by estrogen therapy, but it was unclear whether chronic GPER activation during menopause had an effect on intestinal stem cells (ISCs). We tested the effect of chronic GPER activation on ISCs of ovariectomized (OVX) mice by injection of the selective GPER agonist G-1 for 28 days, or G-1 stimulation of organoids derived from crypts of OVX mice. G-1 up-regulated crypt depth, the number of Ki67+, bromodeoxyuridine+ cells and Olfm4+ ISCs, and the expression of ISCs marker genes (Lgr5, Olfm4 and Axin2). G-1 administration promoted organoid growth, increased the number of EdU+ cells per organoid and protein expression of Cyclin D1 and cyclin B1 in organoids. After G-1 treatment in vivo or in vitro, Paneth cell–derived Wnt3, Wnt3 effector β-catenin and Wnt target genes c-Myc and Cyclin D1 increased in ileum or organoids. Once blocking the secretion of Wnt3 from Paneth cells, the effects of G-1 on organoids growth, ISCs marker genes and Wnt/β-catenin signaling were abolished. G-1 did not affect the number of Paneth cells in ex vivo organoids, while activated Mmp7/cryptdin program in Paneth cells, promoted their maturation, and increased the expression of lysozyme protein. G-1 pretreatment in OVX mice inhibited radiation-induced ISCs proliferation injury and enhanced the resistance of mice to intestinal injury. In conclusion, chronic GPER activation prompted the Wnt3 synthesis in Paneth cells, thus increased the proliferation of ISCs via activation of Wnt3/β-catenin signaling in OVX mice.
Viele Hände, ein Ziel: interprofessionelle Zusammenarbeit im
Wochenbett
Authors: Erdmann Daniela
Published: December 2022

Die Fragestellung, in welcher Weise die Zusammenarbeit zwischen den
Gesundheitsberufen verbessert werden sollte, gewinnt zunehmend sowohl national
als auch international an Bedeutung. Darüber hinaus rückt die
interprofessionelle Zusammenarbeit auch im Zusammenhang mit der Geburt zunehmend
in den Fokus. Die Wochenbettbetreuung nimmt dabei eine besondere Rolle ein.
Erzählcafé-Aktion holt das Geburtserleben aus der
Tabuzone
Authors: Schmid-Altringer Stefanie , Stamm Anja
Published: December 2022

Ein Kind kommt zur Welt. Jede Mutter und jeder Vater erlebt das anders. Und mit
der Geburt ihres Kindes werden beide Elternteile zu Expert*innen. Ist
das Baby da, bleibt wenig Zeit, das Erlebte gemeinsam zu reflektieren. Doch die
Glücksgefühle während der Geburt sind genauso wertvoll
wie etwaige schwierige Momente, an denen das Paar wachsen kann. Die
Erzählcafé-Aktion „Der Start ins Leben“
lädt ein, dieses Erfahrungswissen zu teilen. Davon profitieren Familien
genauso wie sie betreuende Fachpersonen.
Study on the international competitiveness of geothermal energy products in regional comprehensive economic partnership (RCEP) agreement countries
Authors: Guo Qing , Liu Youyang
Published: December 2022

Renewable energy usage has entered a research boom, and the exceptional use of geothermal energy in urban heating and power generation has garnered the interest of an increasing number of nations. Regional Comprehensive Economic Partnership Agreement (RCEP) countries have launched new cooperation to promote the green recovery of the regional economy, which has prompted new demands for the integration and upgrade of existing environmental resource cooperation platforms in the region, and the development of geothermal energy has greater strategic significance for RCEP nations. Using the constant market share model and innovative revealed comparative advantage index method, this article measures and analyzes the changing trend of international competitiveness of geothermal energy products in RCEP nations. The findings of this study indicate that (1) the comparative advantages of geothermal energy products in RCEP countries are insufficient; (2) structural effects have negative effects on export growth; (3) competitiveness is an important factor in promoting export trade; and (4) second-order effects have a greater impact on exports. Based on the aforementioned research findings, this article proposes appropriate countermeasures.
Mandarin de-adjectival degree achievements as inchoative statives
Authors: Zhang Anqi
Published: December 2022

Mandarin degree adjectives can give rise to a degree achievement reading with the perfective marker le. In this paper, I argue that de-adjectival degree achievements in Mandarin are inchoative statives, whose core meaning component is a reflexive comparative that compares the present state with a previous state in some property of the same individual. My new analysis better captures the facts that de-adjectival degree achievements show variable telicity, that they give rise to stative readings with duration phrases, and that they are compatible with time as a comparative standard. Because the comparison is between two states at different times, a degree-achievement reading can be inferred even though the predicate is stative in semantics.
The Oblique Alfvén Ion Beam Instability in the Earth's Ion Foreshock
Authors: Yao Yuhang , Zhao Jinsong , Xie Huasheng , Liu Wen , Wu Dejin
Published: December 2022

How ions evolve in the Earth’s ion foreshock is a basic problem in the heliosphere community, and the ion beam instability is usually proposed to be one major mechanism affecting the ion dynamics therein. This work will perform comprehensive analyses of the oblique ion beam instability in the Earth’s ion foreshock. We show that in addition to two well-known parallel instabilities (i.e., the parallel fast-magnetosonic whistler instability and the parallel Alfvén ion cyclotron instability), the oblique Alfvén ion beam (OA/IB) instability can also be triggered by free energy relating to the relative drift dV between the solar wind proton and reflected proton populations. For slow dV (e.g., dV ≲ 2.2V

A
, where V

A
denotes the Alfvén speed), it only triggers the OA/IB instability. When dV ≳ 2.2V

A
, the growth rate in the OA/IB instability can be about 0.6 times the maximum growth rate in parallel instabilities. Moreover, this work finds the existence of two types of OA/IB instabilities. The first one appears at slow dV and in the small wavenumber region at fast dV, and this instability can be described by the cold fluid model. The second one arises in large wavenumber regions at fast dV, and this instability only appears in warm plasmas. Furthermore, through the energy transfer rate method, we propose that the OA/IB instability is driven by the competition among the Landau and cyclotron wave-particle interactions of beam protons, the cyclotron wave-particle interaction of core protons, and the Landau wave-particle interaction of electrons. Because oblique waves can experience significant damping, the importance of the OA/IB instability may be the effective heating of ions in the Earth’s foreshock.
Modal Performance Analysis of Compressor for Active Control of Acoustic Radiation
Authors: Li Linmao , Li Chaopeng , Duan Mingyu , Huang Yizhe
Published: December 2022

Compressor has a complex internal structure and contains various kinds of motion mechanism. At present, research on compressor’s vibration and sound radiation characteristics is insufficient. In this paper, structure and sound radiation modes of control objects are analysed by mode analysis. Explore the mode distribution law and correspond the structure mode to the sound radiation mode. On this basis, by suppressing the vibration mode, the influence is transmitted to the acoustic domain to realize the active control of sound radiation of the structure as a whole.
Research On Bolt Bending Analysis Method Based On FEM
Authors: Xu Lijun , Tan Jinglei
Published: December 2022

In practical engineering, for instance the aerospace aircraft and engine industry, fastener connection is a very common joint structures, the current engineering typical strength analysis for bolt connection structure doesn’t include bolt bending analysis. In the engineering research and design phase, if the bolt connection plate is too thick or it contains shims or spacers that cause the bolt itself to be too long, then bolt bending failure analysis is also necessary. The bolt bending analysis is a complex failure mode, there is no unified analysis method for effective assessment for it. This paper introduces an improved calculation method which is proposed to specifically calculate the bending load of the bolt according to the force characteristics of the bolt for bolt bending analysis.
A 12-bit Digital-to-Analog Converter for Current Distribution Type
Authors: Dai Minghui , Li Xiaolong , Wang Jie , Zhuang Zhilin , Ma Shumiao
Published: December 2022

Sensors have a wide range of applications in environmental monitoring, for example, as temperature transmitters in industrial control processes. In order to reduce the chip area and improve the digital-to-analogue conversion accuracy, large loads are driven. This study proposes a current-shunted DAC for sensor interfaces with an R-2R structure, using a Class-AB amplifier to buffer or amplify the signal. Spectre simulation shows that the DAC has a current consumption of 63uA when the supply voltage and reference voltage are 1.8V and can drive a 15pF capacitive load.
Research on Design Method of Security Test Set Based on AUTOSAR OS
Authors: Fang Xiyu , Wang Yaxin , Han Yanyan , Chen Lirong
Published: December 2022

In recent years, the automobile industry have shown the de-velopment trend of intelligence and networking. OSEK OS, the kind of traditional vehicle control operating system, has the characteristics of static configuration, but it cannot support new industry demands such as ADAS and OTA. Automobiles have become an important part of smart cities, and are currently developing in the direction of intelligence, networking, openness and sharing. However, OSEK OS, the traditional vehicle control operating system, statically configures tasks, alarms and other modules before running, which cannot be changed at runtime. Therefore, it is difficult to meet the needs of intelligent networked vehicles. AUTOSAR OS, the next-generation vehicle control operating system, adds sev-eral new functional modules and security mechanisms and is totally compatible with OSEK OS. In order to verify the re-liability of the new functional modules and security mecha-nisms of AUTOSAR OS, we tests the security mechanisms of VKware OS, which is an open source AUTOSAR OS, and designs a test set that conforms to the specification of AU-TOSAR OS, the test case can also be used for functional and security mechanism test of various AUTOSAR OS.
Optimization of Vibration Isolation Parameters of Electromagnetic Vibration Feeder and Design of Vibration Isolator
Authors: He Xian , Ou Huancai , He Xuewen
Published: December 2022

In order to solve the problems of large vibration and noise caused by the unreasonable design of the rubber vibration isolator of the electromagnetic vibrating feeder. Firstly, the relationship between vibration isolation performance and vibration isolation system parameters is theoretically analyzed. Secondly, a multi-objective optimization function is established with the vibration isolation coefficient and amplitude ratio as the optimization objectives. The genetic algorithm is used to optimize the objective function, and the structure and parameters of the rubber vibration isolator are designed according to the optimization results. Finally, using computer simulation, the vibration isolation performance before and after optimization is analyzed and the strength of the vibration isolator is verified. The results show that after optimization, the amplitude of the base of the electromagnetic vibrating feeder decreases by 28.6%, and the amplitude ratio decreases by 53.2%, which achieves a good optimization effect, and the strength of the rubber vibration isolator meets the requirements;
A Topology Optimization Design of Compressor Connecting Rod
Authors: Shu Jie , Fu Xiaojin
Published: December 2022

To address the problems of unstable and noisy compressor operation caused by excessive mass of the connecting rod of reciprocating piston compressor, a multi-objective topology optimization algorithm based on the compromise planning method is used to optimize the design of the connecting rod by considering both dynamic low-order inherent frequency and stiffness, and a multi-objective function of joint stiffness and inherent frequency is proposed. The finite element model is established and the optimized model is revalidated. The analysis results show that the optimized connecting rod mass is reduced by 21.6%, the low-order inherent frequency is improved, and the material meets the requirements of strength and stiffness.
Structural Strength Analysis of Tubing Load Measurement System for High Pressure and High Temperature Wells
Authors: Cheng Jiarui , Yan Qiqi , Liu Chao , Qiao Fanfan , Wei Wenlan
Published: December 2022

The tubing load measurement system is used to monitor the force and vibration of the tubing string in the process of perforation, fracturing and extraction and judge the safety of the tubing string during use based on the monitoring values, which is a key equipment for obtaining downhole information of the gas oil and gas development process. In this study, a load measurement system is designed for high-temperature and high-pressure tubular strings in wells, and the full-scale mesh modeling and finite element force calculation are performed to obtain stress distributions and safety factors. The results show that under the condition of axial force of 1000kN, internal pressure of 100MPa and composite loading state, the safety factors of the instrument are 2.0, 2.01 and 1.97 respectively, all of which meet the requirements of safe use.
Dynamic Analysis and Chaotic Suppression of Cuk Converter under Memristor Load
Authors: Su Chenming
Published: December 2022

As a nonlinear memory device, the memristor is often used as a circuit load. In this paper, a nonlinear memory system based on a traditional current-mode Cuk converter with a voltage-controlled memristor is constructed. By deducing the state equation of circuit topology and the continuous current mode state equation, the simulation model is constructed. The dynamic characteristics of the system are explored by using a sequence diagram, phase diagram and bifurcation diagram. In addition, parametric resonance micro perturbation is introduced to suppress the chaos of the system. Finally, by using PYTHON and PSIM for simulation, the results verify the dynamic characteristics of the system and the effectiveness of the control method.
Fault diagnosis of speed-increasing turnout based on frequency domain feature extraction and GA-LSSVM
Authors: Zhang Yaning , Zheng Yunshui
Published: December 2022

The reliable operation of turnout is the key to ensure the safe operation of railways. In order to improve the accuracy of turnout fault diagnosis, a method combining genetic algorithm and least squares support vector machine (GA-LSSVM) is introduced into turnout fault diagnosis. Firstly, we need to analyze the turnout action power curve and extract the frequency domain features. Secondly, principal component analysis (PCA) is used to achieve feature dimensionality reduction. Thirdly, the features obtained by screening are input into GA-LSSVM to realize the fault diagnosis of speed-up turnout. Finally, an experimental study is performed by the failure sample set. The accuracy of the fault diagnosis method proposed in this paper reaches 96.875%. The research results show that the method in this paper can effectively improve the efficiency and accuracy of turnout fault diagnosis.
Hypersonic vehicle attitude-tracking control using model-free deep reinforcement learning
Authors: Wang Dan
Published: December 2022

In this paper, one of the state-of-the-art deep reinforcement learning (DRL) algorithms, the proximal policy optimization (PPO) algorithm is used to achieve the learning of the attitude controller of hypersonic vehicles (HSVs). The HSV attitude-tracking control problem belongs to continuous control problems, which means the state space and the action space of the HSV are both continuous. The goal of DRL is to maximize accumulated rewards rather than the instant reward, so a fixed time length training episode and a normalized instantaneous reward function are presented to facilitate a comparison of each episodic return. Numerical simulation results show the proposed training manner can effectively make the learning controller track the attitudes for the longitudinal motion of HSVs with uncertainties. This training manner also can generalize to other continuous control problems.
Research on frequency switching algorithm based on distributed antenna system
Authors: Song Wentao , Wu Wei
Published: December 2022

Since the traditional cellular cell communication system is no longer suitable for the development needs of the continuously accelerating high-speed railway, the distributed antenna system and the two-hop architecture are used to construct a system network architecture suitable for high-speed railway. Under the architecture of this system, for the problem of frequent handover between remote antenna units (RAUs) under the control of the same centralized unit (CU), this paper proposes an MFC/FSW algorithm by combining the concept of moving frequency concept (MFC) and frequency switching algorithm (FSW). Using FSW to trigger MFC, the frequency of RAU is changed by applying fiber optic radio technology in MFC. Due to the speed change has a greater effect on the success rate of the scheme, a correction factor is defined to mitigate the effect of speed on the success rate. The results show that the scheme can eliminate the traditional switching between RAUs, and the defined correction factor effectively mitigates the effect of the speed on the success rate. Compared with the traditional handover scheme, the switching success rate is not affected by the threshold in the switching judgment condition.
Optimization design and finite element analysis of welding robot base based on ANSYS Workbench
Authors: Li Xiao-jie , Liang Jian
Published: December 2022

A welding robot is a standard industrial robot, and its base is the essential component of the robot, which needs to ensure its safety, stability, and reliability. Using Solid Works software, taking a robot base in an automobile workshop as an example, a three-dimensional model of the robot base structure was established. The model was then directly imported into ANSYS Workbench without error. The finite element analysis method was used to carry out static analysis, modal analysis, and harmonious response analysis of the base model. According to the finite element calculation, the equivalent stress and deformation distribution cloud diagram of the robot base structure model is obtained. The structure size is optimized, and the original model is compared with the improved and optimized design scheme for finite element analysis. The solution’s size is reduced, but the dynamic and static performance is also more advantageous, which achieves the expected structural optimization goal. The finite element simulation experiment verified that the welding robot base could be optimized in size to make its strength and working space better meet the design requirements. The simulation experiment analysis results are accurate and the design scheme is feasible.
DOA Estimation of Radar Array Signals Based on Blind Source Separation
Authors: Ding Y P , She Y L
Published: December 2022

Target orientation estimation is the premise to achieve target positioning and tracking. The classical DOA estimation algorithm needs to know the array structure and other informations. When those information cannot be obtained accurately, the performance of the algorithm will be degraded or even invalid. In this paper, a DOA estimation method for array signals based on blind source separation is proposed. The received mixed signals are separated by blind source separation, and the array steering matrix is estimated. Then the signal receiving channel is dimensionally reduced and transformed, and the covariance matrix is reconstructed. Finally use the MUSIC algorithm to achieve DOA estimation. Through simulation experiments, the results show that the method can realize DOA estimation under the condition of unknown array steering matrix, and it is robust.
Optimization of point cloud preprocessing algorithm for equipped vehicles
Authors: Liu Q , Jin X , Yang Y J , Zou Y C , Zhang W
Published: December 2022

In view of the fact that the point cloud 3D model will be interfered by environmental factors, measurement methods and other random factors in the process of data scanning and acquisition, there will be some invalid points, outliers and internal noise points. In this paper, a point cloud denoising method based on adaptive density clustering and statistical filtering is proposed to process vehicle point cloud data. which can effectively preserve vehicle features while obtaining optimal denoising effect. Compared with the existing point cloud noise processing algorithms, this algorithm can remove noise better, and has shorter time-consuming and good applicability.
GSM-R wireless field strength coverage prediction algorithm based on PSO-RBF neural network algorithm
Authors: Wang Kaiyan , Zhou Qinghua
Published: December 2022

In the wake of the successive construction of new railway lines, new lines and existing lines are adjacent, approached and surpassed. In the early stage of line construction, if the influence of adjacent lines is not considered in subsequent planning, the original lines need to be adjusted, and the reconstruction of the base station (BS) coverage along the railway increases the hardness of buliding and the invested funds. Therefore, a Global System for Mobile Communications – Railway (GSM-R) wireless field strength coverage prediction model based on particle swarm optimization (PSO) algorithm optimized radial basis function neural network (RBFNN) was proposed. Aiming at the problem of slow network convergence caused by improper selection of network parameters and structure of RBFNN, PSO algorithm is used to optimize the parameters of RBFNN, and combined with the actual measurement data on site, a PSO-RBFNN model is established to simulate and predict the field strength coverage. The results show that the prediction effect of PSO-RBFNN is the best, followed by RBFNN, and the worst of HATA model, which is very beneficial to the future railway GSM-R wireless network coverage and provides a feasible idea.
Finite Element Analysis of Wave-Front Aberrations of Medium and High Myopia with Different CCT after Small Incision Lenticule Extraction (SMILE)
Authors: Jin Tianzi , Fang Lihua
Published: December 2022

In this study, the wave-front aberrations of medium and high myopia with different CCT after SMILE were studied by the finite element method. Then, the various trend of wave-front aberrations with clinical significance was obtained. When CCT was the same, the wave-front aberrations of myopia with different diopters were different. When CCT increased, the variations of wave-front aberrations of myopia with different diopters were different. However, regardless of the degree of myopia, the variations of defocus and primary spherical aberration were the most obvious. The larger the CCT, the smaller the absolute values of defocus and primary spherical aberration.
Preparation of CMAS, LZS glass-ceramics and study of the glass ceramics anti-corrosion properties in liquid leadbismuth eutectic at 500°C
Authors: Wan Yi , Luo Lin , Jiang Zhizhong , Liu Jing , Wei Jie , Xiao Zunqi
Published: December 2022

Liquid lead-bismuth eutectic (LBE) was an important candidate material for the fourth generation reactor coolant. Its high temperature and heavy metal corrosion conditions put forward higher requirements for the corrosion resistance of reactor structural materials. As a new kind of special material, glass-ceramic material, which possesses the excellent properties of glass and ceramics, has good mechanical property, wear-resisting property and corrosion resistance. The LBE corrosion behavior of glass-ceramics at typical operating temperatures of nuclear reactors was investigated. The lead bismuth corrosion test was carried out under the condition of oxygen saturation at 500°C for 500h. The lead bismuth corrosion resistance of the two glass ceramic samples in static LBE was analyzed by means of scanning electron microscope (SEM) and X-ray diffraction (XRD). After 500 h corrosion in oxygen saturated liquid LBE at 500°C, there was no obvious corrosion on the surface of CMAS glass ceramics. Its dense microstructure and stable phase composition effectively prevented the penetration of Pb and Bi elements, and had good resistance to corrosion; The surface of LZS glass ceramics was covered with a layer of loose and porous compounds, and the thickness of the corrosion zone was 10 μm, which occurred a certain degree of lead-bismuth corrosion, and its corrosion resistance was poor. The results showed that under the same corrosion conditions, no lead bismuth corrosion behavior was found on the surface of CaO-MgO-Al2O3-SiO2 (CMAS) glass-ceramic, while there was a corrosion layer with a thickness of about 10 μm on the surface of Li2O-ZnO-SiO2 (LZS) glass-ceramic, indicating that the lead bismuth corrosion resistance of CMAS glass ceramics was significantly better than that of LZS glass ceramics.
Multi-objective optimization design and analysis of large deformation composite material
Authors: Chen Zhuo , Zhu Shengli , Feng Chenghui , Liu Changtao
Published: December 2022

In the future, advanced aircraft proposes to reduce the gaps on the surface of the body to improve the flight performance and stealth performance of the aircraft. This requires a sealing device between the movable surface of the leading and trailing edges of the wing and the fixed wing surface. Based on the sealing of the wing gap, this paper uses CATIA software combined with HyperWorks and ABAQUS software to design and optimize a large-deformation composite structure that can follow the large-scale movement of the movable surface without affecting the movement of the movable surface of the wing.
Research on Uniform of Cross-Section Performance about H-Beams after Ultra-Fast Cooling
Authors: Guo Fei
Published: December 2022

Using software, the analysis of temperature field of H-beams after ultra-fast cooling and air cooling was made. On the basis of numerical computation result of temperature distribution. The surface temperature of web and flange dropped to 420°C after UFC, while the other, that of R corner was 400°C. The center temperature of web was 650°C, while that of flange and R corner was still about 800°C, so the temperature drop of web was the biggest. The duration of temperature rise in R corner was longer. The entrance of the UFC system in hot rolling H-beam production line, and the temperature of upper web and flange was both 850±15°C, while the other, the exit after UFC 4.5s, and the temperature of upper web and flange was both 440±20°C, which was consistent with the simulation results.
Contact stress analysis of a packer based on shape memory polymers using finite element method
Authors: Dong Xuelin , Gan Yi
Published: December 2022

Shape memory polymers (SMPs) possess multiple advantages as a sealing element for a packer. The contact stress between the SMP rubber and a casing (or the formation) is an essential indicator in evaluating the sealability of packers. This work conducts a finite element simulation based on the generalized Maxwell viscoelastic model and the time-temperature equivalence (TTE) principle to analyze the contact stress during the setting. The proposed model simulates the mechanical response of the polymer, including the stretch at a high temperature, cooling with a fixed shape, unloading at a low temperature, the shape recovery with reheating, and the stress relaxation. The results show that the contact stress distribution in the middle section of the packer is relatively uniform. The average contact stress is over 7.5 MPa and meets sealing needs. More significant stresses occur at the shoulders of the packer due to stress concentration. Both the shape recovery and the stress relaxation finish fast that it needs about 228.7 s to obtain stable contact stress after shape recovery. This study provides a method to evaluate the performance of the packer based on SMPs.
Study on heat reduction and lift-to-drag ratio increase of two-dimensional wedge-shaped waverider blunt leading edges and high pressure capture wing[1] combined configuration
Authors: Guo Liuming , Fang Shuzhou
Published: December 2022

In this paper, the aerodynamic and aerothermal performance of the simplified two-dimensional wedge-shaped waverider bluntness leading edge and high pressure capture wing(HCW) combined configuration in a hypersonic continuous flow basin is numerically simulated by the Computational Fluid Dynamics (CFD) method, the flow field structure of the model is analyzed, and the law of anti-thermal rise is revealed. The main contents of the study include the surface heat flux and lift-drag ratio characteristics of the bluntness leading edge under different bluntness radii, the lift-to-drag ratio, and surface heat flux characteristics of the composite configuration of the bluntness leading edge and the high pressure capture wing under different bluntness radius. Within the scope of the study: 1. The larger the bluntness radius is, the more effective it is to reduce the heat flux of the head. When the bluntness radius is 2mm, the decrease is about 82.5%;2. The larger the bluntness radius is, the more serious the lift-drag ratio decreases. When the bluntness radius is 2mm, the lift-drag ratio decreases by about 72.4%;3. The combined configuration of the bluntness leading edge and the high pressure capture wing can effectively reduce the head heat flux under the premise of ensuring a certain lift-drag ratio. The optimal bluntness radius is 1mm, the head heat flux decreases by about 76% and the lift-drag ratio only decreases by 24%.
A Copper-Organic Framework with Carboxylate Groups for Efficient C2-C3 Hydrocarbons Capture
Authors: Yu Xinxin , Hong Linxin , Wei Pengzhao , Wang Yijun , Liu Xiuping
Published: December 2022

Increasing the ligand size could enlarge the pore volume of MOFs, which could further increase the gas adsorption capacity. Inspired by this, we synthesized a porous 3D metalorganic framework [Cu2(L1)·(H2O)2] ·2H2O·3DMF·(CH3)2NH2] (NEM-5) with a high density of carboxylate groups and CuII sites, which exhibited large uptakes for C2H2 (65 cm3 g-1), C2H4 (48 cm3 g-1), C2H6 (64.7 cm3 g-1), C3H6 (68 cm3 g-1), and C3H8 (63.4 cm3 g-1) at room temperature. Compared with MOF 1, NEM-5 has a similar topology and larger pore volume, but the gas adsorption capacities are significantly reduced, which might be attributed to the large pore size and low framework density of NEM-5.
An Active SearchTime Tuning Model Based on the Optimally Weighted LightGBM Algorithm
Authors: Liu Songzhi , Lu Cheng
Published: December 2022

A proactive search time adjustment model based on the optimally weighted LightGBM algorithm was studied in this paper for the problem of large delay fluctuations in 5G distribution terminals leading to protection blocking. The model used historical data on delay fluctuations of wireless communication terminals and feature variables such as temperature and date and time as inputs to predict delays and dynamically adjust equipment parameters. First, the original feature variables were pre-processed via feature engineering, then the data were fitted together with the historical delay data by the LightGBM algorithm. And the final weighted combination was used to adjust the predicted values in combination with the real-time monitoring delay of the terminal, finally realizing the high-precision prediction of 5G terminal delay. The results show that the proposed method can effectively achieve delay prediction and has higher prediction accuracy than random forest regression and XGBoost algorithms.
Iterative weighted algorithm for 9-dof pose solution and its application
Authors: Zuo Xiangyun , Li Zhanxin , Li Jianming , Xu Shuo , He Huadong
Published: December 2022

Nine-axis motion parameters need to be calculated according to the relative pose to be simulated when the precision calibration test of rendezvous and docking optical imaging sensor is carried out with nine-degree of freedom motion simulator. Based on the structural characteristics of the system and the principle of homogeneous coordinate transformation, the inverse kinematics equations are established in this paper, in order to improve the test efficiency and ensure the accuracy of pose simulation, the iterative algorithm with fixed degrees of freedom was adopted to approximate the solution results, at last, the nine-axis weighting algorithm was used to judge the end of iteration and obtain the solution results of relative pose optimization.