bluuebunny/crossref_metadata_2025 huggingface dataset:
Macrocycle-stabilization of its interaction with 14-3-3 increases plasma membrane localization and activity of CFTR
Authors: Stevers Loes M. , Wolter Madita , Carlile Graeme W. , Macdonald Dwight , Richard Luc , Gielkens Frank , Hanrahan John W. , Thomas David Y. , Chakka Sai Kumar , Peterson Mark L. , Thomas Helmut , Brunsveld Luc , Ottmann Christian
Published: June 2022

Impaired activity of the chloride channel CFTR is the cause of cystic fibrosis. 14-3-3 proteins have been shown to stabilize CFTR and increase its biogenesis and activity. Here, we report the identification and mechanism of action of a macrocycle stabilizing the 14-3-3/CFTR complex. This molecule rescues plasma membrane localization and chloride transport of F508del-CFTR and works additively with the CFTR pharmacological chaperone corrector lumacaftor (VX-809) and the triple combination Trikafta®. This macrocycle is a useful tool to study the CFTR/14-3-3 interaction and the potential of molecular glues in cystic fibrosis therapeutics.
High stress twinning in a compositionally complex steel of very high stacking fault energy
Authors: Wang Zhangwei , Lu Wenjun , An Fengchao , Song Min , Ponge Dirk , Raabe Dierk , Li Zhiming
Published: June 2022

Deformation twinning is rarely found in bulk face-centered cubic (FCC) alloys with very high stacking fault energy (SFE) under standard loading conditions. Here, based on results from bulk quasi-static tensile experiments, we report deformation twinning in a micrometer grain-sized compositionally complex steel (CCS) with a very high SFE of ~79 mJ/m2, far above the SFE regime for twinning (<~50 mJ/m2) reported for FCC steels. The dual-nanoprecipitation, enabled by the compositional degrees of freedom, contributes to an ultrahigh true tensile stress up to 1.9 GPa in our CCS. The strengthening effect enhances the flow stress to reach the high critical value for the onset of mechanical twinning. The formation of nanotwins in turn enables further strain hardening and toughening mechanisms that enhance the mechanical performance. The high stress twinning effect introduces a so far untapped strengthening and toughening mechanism, for enabling the design of high SFEs alloys with improved mechanical properties.
Topological electronic structure of YbMg2Bi2 and CaMg2Bi2
Authors: Kundu Asish K. , Roy Tufan , Pakhira Santanu , Wu Ze-Bin , Tsujikawa Masahito , Shirai Masafumi , Johnston D. C. , Pasupathy Abhay N. , Valla Tonica
Published: June 2022

Zintl compounds have been extensively studied for their outstanding thermoelectric properties, but their electronic structure remains largely unexplored. Here, we present a detailed investigation of the electronic structure of the isostructural thermopower materials YbMg2Bi2 and CaMg2Bi2 using angle-resolved photoemission spectroscopy (ARPES) and density functional theory (DFT). The ARPES results show a significantly smaller Fermi surface and Fermi velocity in CaMg2Bi2 than in YbMg2Bi2. Our ARPES results also reveal that in the case of YbMg2Bi2, Yb-4f states reside well below the Fermi level and likely have a negligible impact on transport properties. To properly model the position of 4f-states, as well as the overall electronic structure, a Hubbard U at the Yb sites and spin-orbit coupling (SOC) have to be included in the DFT calculations. The theoretical results reveal that both materials belong to a Z2 topological class and host topological surface states around EF. Due to the intrinsic hole doping, the topological states reside above the Fermi level, inaccessible by ARPES. Our results also suggest that in addition to SOC, vacancies and the resulting hole doping play an important role in the transport properties of these materials.
Lipid A analog CRX-527 conjugated to synthetic peptides enhances vaccination efficacy and tumor control
Authors: Tondini Elena , Reintjens Niels R. M. , Castello Giulia , Arakelian Tsolere , Isendoorn Marjolein , Camps Marcel , Vree Jana , van der Marel Gijs A. , Filippov Dmitri V. , Codee Jeroen D. C. , Ossendorp Ferry
Published: June 2022

Adjuvants play a determinant role in cancer vaccination by optimally activating APCs and shaping the T cell response. Bacterial-derived lipid A is one of the most potent immune-stimulators known, and is recognized via Toll-like receptor 4 (TLR4). In this study, we explore the use of the synthetic, non-toxic, lipid A analog CRX-527 as an adjuvant for peptide cancer vaccines. This well-defined adjuvant was covalently conjugated to antigenic peptides as a strategy to improve vaccine efficacy. We show that coupling of this TLR4 agonist to peptide antigens improves vaccine uptake by dendritic cells (DCs), maturation of DCs and T cell activation in vitro, and stimulates DC migration and functional T cell priming in vivo. This translates into enhanced tumor protection upon prophylactic and therapeutic vaccination via intradermal injection against B16-OVA melanoma and HPV-related TC1 tumors. These results highlight the potential of CRX-527 as an adjuvant for molecularly defined cancer vaccines, and support the design of adjuvant-peptide conjugates as a strategy to optimize vaccine formulation.
Skyrmion–antiskyrmion pair creation and annihilation in a cubic chiral magnet
Authors: Zheng Fengshan , Kiselev Nikolai S. , Yang Luyan , Kuchkin Vladyslav M. , Rybakov Filipp N. , Blügel Stefan , Dunin-Borkowski Rafal E.
Published: June 2022

A fundamental property of particles and antiparticles (such as electrons and positrons, respectively) is their ability to annihilate one another. A similar behaviour is predicted for magnetic solitons1—localized spin textures that can be distinguished by their topological index Q. Theoretically, magnetic topological solitons with opposite values of Q, such as skyrmions2 and their antiparticles (namely, antiskyrmions), are expected to be able to continuously merge and annihilate3. However, experimental verification of such particle–antiparticle pair production and annihilation processes has been lacking. Here we report the creation and annihilation of skyrmion–antiskyrmion pairs in an exceptionally thin film of the cubic chiral magnet of B20-type FeGe observed using transmission electron microscopy. Our observations are highly reproducible and are fully consistent with micromagnetic simulations. Our findings provide a new platform for the fundamental studies of particles and antiparticles based on magnetic solids and open new perspectives for practical applications of thin films of isotropic chiral magnets.
Clinical outcomes of patients with multiple courses of radiosurgery for brain metastases from non-small cell lung cancer
Authors: Lee Won-Jae , Choi Jung-Won , Kong Doo-Sik , Seol Ho Jun , Nam Do-Hyun , Lee Jung-Il
Published: June 2022

We investigated the long-term clinical outcomes of patients who underwent multiple courses (≥ 5) of gamma knife radiosurgery (GKRS) due to recurrent brain metastases (BM) from non-small cell lung cancer (NSCLC). Between December 2001 and July 2019, consecutive 2571 patients underwent GKRS for BM from NSCLC. Clinical and radiological outcomes were investigated in 76 patients who underwent GKRS ≥ 5 times. The median follow-up period after the diagnosis of NSCLC was 54.6 months (range 14.5–159.1 months). The median number of GKRS procedures per patient was six (range 5–15). Actuarial post-GKRS survival rates at 1, 2, 3, 4, and 5 years following initial GKRS were 88.1%, 79.5%, 65.3%, 51.4%, and 37.3%, respectively. No significant difference in overall survival was observed between patients (n = 22) with whole-brain radiotherapy (WBRT) and patients (n = 54) without WBRT (p = 0.076). The incidence of radiation-induced leukoencephalopathy was 64% and 18% in patients with and without WBRT, respectively (p < 0.0001). Multiple courses of SRS are a tolerable and effective treatment option for recurrent BM from NSCLC. Repeat SRS may be an alternative treatment option to avoid or delay WBRT.
A mathematical model of GLUT1 modulation in rods and RPE and its differential impact in cell metabolism
Authors: Aparicio Andrea , Camacho Erika T. , Philp Nancy J. , Wirkus Stephen A.
Published: June 2022

We present a mathematical model of key glucose metabolic pathways in two cells of the human retina: the rods and the retinal pigmented epithelium (RPE). Computational simulations of glucose transporter 1 (GLUT1) inhibition in the model accurately reproduce experimental data from conditional knockout mice and reveal that modification of GLUT1 expression levels of both cells differentially impacts their metabolism. We hypothesize that, under glucose scarcity, the RPE’s energy producing pathways are altered in order to preserve its functionality, impacting the photoreceptors’ outer segment renewal. On the other hand, when glucose is limited in the rods, aerobic glycolysis is preserved, which maintains the lactate contribution to the RPE.
Complex trans-ridge normal faults controlling large earthquakes
Authors: Bello Simone , Lavecchia Giusy , Andrenacci Carlo , Ercoli Maurizio , Cirillo Daniele , Carboni Filippo , Barchi Massimiliano R. , Brozzetti Francesco
Published: June 2022

Studying faults capable of releasing moderate-to-strong earthquakes is fundamental for seismic hazard studies, especially in a territory that was subject to the strongest peninsular Italy earthquake (1857, Mw7.1) and hosting the largest European oil field on-land. Fieldwork-based observations in the Campania-Lucania area highlight a SSW-dipping ~ 65 km-long normal-oblique-segmented fault, showing evidence of recent activity and possibly responsible for the 1857 earthquake. It crosses the Maddalena ridge, linking separate Quaternary basins. Two seismic reflection profiles cross the fault trace where it is buried beneath the Val d’Agri Quaternary deposits. Similarities between fault-controlled small basins in the highest portion of the massifs in the study area and the neighboring 1980 Irpinia area (1980 earthquake, Mw6.9) are interpreted as evidence of trans-ridge fault activity. Kinematic analyses and the stress field inversion provide a N032-trending near-horizontal s3-axis, the same computed in literature for the Irpinia area, highlighting a deviation from the ~N045-axis which characterizes most of the Apennines. This study demonstrates how detailed fieldwork, supported by geophysics and innovative data analysis techniques, can unravel unknown faults while giving a novel interpretation of the trans-ridge faults' style in controlling strong earthquakes, moving away from classical interpretations, and providing a helpful approach in similar contexts worldwide.
Functionalization of magnetic nanoparticles by creatine as a novel and efficient catalyst for the green synthesis of 2-amino-4H-chromene derivatives
Authors: Eivazzadeh-Keihan Reza , Bahrami Shahrzad , Ghafori Gorab Mostafa , Sadat Zahra , Maleki Ali
Published: June 2022

By employing the naturally-originated molecule of creatine, Fe3O4@SiO2-creatine as an environmentally benign magnetic organometallic nanobiocatalyst was successfully prepared via a convenient and green route. Then to acquire an inclusive comprehension of different properties of the catalyst, it was studied by various characterization techniques such as FT‐IR, FE-SEM, TEM, EDX, XRD, and VSM analyses. It was found that the size distribution of nanoparticles was an average diameter size of 70 nm. To examine the catalytic activity, it was applied in sequential knoevenagel condensation-Michael addition room temperature reaction of dimedone, malononitrile, and different substituted aromatic aldehydes to produce a variety of 2-amino-tetrahydro-4H-chromene-3-carbonitrile derivatives in a single step. Among the multiple outstanding advantages that can be mentioned for this work, some of the most noticeable ones include: affording the products in short reaction times with high yields, operating the reaction at ambient conditions and ease of catalyst separation.
Type 2 deiodinase p.Thr92Ala polymorphism does not affect the severity of obesity and weight loss after bariatric surgery
Authors: Benenati Nicoletta , Bufano Annalisa , Cantara Silvia , Ricci Claudia , Marzocchi Carlotta , Ciuoli Cristina , Sannino Ida , Tirone Andrea , Voglino Costantino , Vuolo Giuseppe , Castagna Maria Grazia
Published: June 2022

A single nucleotide polymorphism in the Type 2 deiodinase (DIO2) gene (p.Thr92Ala) was found to be associated with hypertension, type 2 diabetes mellitus (T2DM), insulin resistance, and body mass index (BMI). We retrospectively evaluated 182 patients to assess whether the DIO2 p.Thr92Ala was associated with severe obesity and response to bariatric surgery. Genomic DNA was extracted from peripheral blood leukocytes before surgery. Glycemic control parameters, cardiometabolic risk biomarkers (waist circumference, lipid assessment and blood pressure) and hormonal parameters were assessed at baseline and after surgery. Based on genotype evaluation, 78/182 (42.9%) patients were homozygous wild-type (Thr/Thr), 83/182 (45.6%) heterozygous (Thr/Ala), and 21/182 (11.5%) rare homozygous (Ala/Ala). Age at the time of the first evaluation in our Unit was significantly lower in patients with DIO2 p.Thr92Ala. No significant association was observed between DIO2 p.Thr92Ala and BMI, excess weight, waist circumference, Homa Index. The prevalence of comorbidities was not associated with allele distribution except for hypertension that was more frequent in wild-type patients (p = 0.03). After bariatric surgery, excess weight loss (EWL) % and remission from comorbidities occurred without differences according to genotypes. DIO2 p.Thr92Ala does not affect the severity of obesity and its complications, but it seems to determine an earlier onset of morbid obesity. The presence of polymorphism seems not to impact on the response to bariatric surgery, both in terms of weight loss and remission of comorbidities.
Neonatal care practice and associated factors among mothers of infants 0–6 months old in North Shewa zone, Oromia region, Ethiopia
Authors: Bekele Kumera , Bekele Firomsa , Mekonnen Mathewos , Jemal Kemal , Fekadu Ginenus
Published: June 2022

Worldwide, the magnitudes of neonatal mortality are estimated to be about 3 million due to insufficient care. The burden of neonatal mortality is high in Ethiopia as compared to high and middle-income countries. The study aimed to assess the neonatal care practice and associated factors among mothers of infants 0–6 months old in Northern Shewa, Ethiopia. A community-based cross-sectional study design was undertaken on a mother living in the North Shewa zone from September 2019 to June 2020. Neonatal care practice was assessed by World Health Organization (WHO) minimum neonatal care package indicators. Over the study period, a total of 245 (62.0%) mothers had a good neonatal care practice. Being urban areas [AOR 5.508, 95% CI 2.170, 13.984], having ANC follow-up [AOR 3.042, 95% CI 1.031, 12.642], lack of adequate information [AOR 0.123, 95% CI 0.054, 0.282] and post-natal care (PNC) [AOR 5.779, 95% CI 2.315, 14.425] were predictors of good neonatal care practice. In our study, there was moderate neonatal care practice among mothers. Therefore, all elements of neonatal care packages should be studied at large.
Reconstruction of Iberian ceramic potteries using generative adversarial networks
Authors: Navarro Pablo , Cintas Celia , Lucena Manuel , Fuertes José Manuel , Segura Rafael , Delrieux Claudio , González-José Rolando
Published: June 2022

Several aspects of past culture, including historical trends, are inferred from time-based patterns observed in archaeological artifacts belonging to different periods. The presence and variation of these objects provides important clues about the Neolithic revolution and given their relative abundance in most archaeological sites, ceramic potteries are significantly helpful in this purpose. Nonetheless, most available pottery is fragmented, leading to missing morphological information. Currently, the reassembly of fragmented objects from a collection of thousands of mixed fragments is a daunting and time-consuming task done almost exclusively by hand, which requires the physical manipulation of the fragments. To overcome the challenges of manual reconstruction and improve the quality of reconstructed samples, we present IberianGAN, a customized Generative Adversarial Network (GAN) tested on an extensive database with complete and fragmented references. We trained the model with 1072 samples corresponding to Iberian wheel-made pottery profiles belonging to archaeological sites located in the upper valley of the Guadalquivir River (Spain). Furthermore, we provide quantitative and qualitative assessments to measure the quality of the reconstructed samples, along with domain expert evaluation with archaeologists. The resulting framework is a possible way to facilitate pottery reconstruction from partial fragments of an original piece.
Thiol-ene polymer beads via liquid–liquid printing: armored interfaces and photopolymerization via graphitic carbon nitride
Authors: Esen Cansu , Kumru Baris
Published: June 2022

Inspired by artificial caviar formation from molecular cuisine, we can form macroscale thiol-ene polymer beads via carbon nitride under static conditions. Carbonization of the so-formed beads yields N-doped gradient carbon spheres.
Rapidly reconstructing the active surface of cobalt-based perovskites for alkaline seawater splitting
Authors: Hu Ruigan , Zhao Mengyuan , Miao He , Liu Fuyue , Zou Jiaqun , Zhang Chunfei , Wang Qin , Tian Ziqi , Zhang Qiuju , Yuan Jinliang
Published: June 2022

Electrochemical reduction can rapidly reconstruct the active surface of Co-based perovskites by introducing Sr/O vacancies and greatly improve their OER activities for splitting natural seawater.
Polycondensation in confined nanopores toward the selective formation of narrowly dispersed linear polyesters
Authors: Yu Xiaowang , Li Baojun , Wang Jie , Shang Zhikun , Tian Donglai , Wang Guiyou , Hu Aiguo
Published: June 2022

While the synthesis of linear polymers with both ends conserved is severely impeded due to the inevitable macrocyclization in step-growth polymerization, this work provides a new idea to mainly formation of linear polymer chains.
Factors Affecting the Use of Speech Testing in Adult Audiology
Authors: Parmar Bhavisha J. , Rajasingam Saima L. , Bizley Jennifer K. , Vickers Deborah A.
Published: June 2022

Objective:

The aim of this study was to evaluate hearing health care professionals' (HHPs) speech testing practices in routine adult audiology services and better understand the facilitators and barriers to speech testing provision.

Design:

A cross-sectional questionnaire study was conducted.

Study Sample:

A sample (
N
= 306) of HHPs from the public (64%) and private (36%) sectors in the United Kingdom completed the survey.

Results:

In the United Kingdom, speech testing practice varied significantly between health sectors. Speech testing was carried out during the audiology assessment by 73.4% of private sector HHPs and 20.4% of those from the public sector. During the hearing aid intervention stage, speech testing was carried out by 56.5% and 26.5% of HHPs from the private and public sectors, respectively. Recognized benefits of speech testing included (a) providing patients with relatable assessment information, (b) guiding hearing aid fitting, and (c) supporting a diagnostic test battery. A lack of clinical time was a key barrier to uptake.

Conclusions:

Use of speech testing varies in adult audiology. Results from this study found that the percentage of U.K. HHPs making use of speech tests was low compared to that of other countries. HHPs recognized different benefits of speech testing in audiology practice, but the barriers limiting uptake were often driven by factors derived from decision makers rather than clinical rationale. Privately funded HHPs used speech tests more frequently than those working in the public sector where time and resources are under greater pressure and governed by guidance that does not include a recommendation for speech testing. Therefore, the inclusion of speech testing in national clinical guidelines could increase the consistency of use and facilitate the comparison of practice trends across centers.

Supplemental Material:

https://doi.org/10.23641/asha.20044457
Bert-GCN: multi-sensors network prediction
Authors: Liu Peng , Li Zhuang , Cong Yang , Xu Yuheng
Published: June 2022

With the application of neural network technologies such as GCN and GRU in sensor networks, the accuracy and robustness of multi-sensor prediction have been greatly improved. GCN effectively uses the spatial characteristics of the sensor network, and GRU effectively uses the temporal characteristics of the sensor network, so the PROPOSED T-GCN model has achieved excellent results. However, there are still shortcomings: i) The prediction is only for a single sensor feature, and multiple features cannot be trained at the same time. ii) Only the connections between sensors are considered, while the connections between multiple features of sensors are ignored. iii) Modeling for multiple features leads to the deepening of the model from 2d to 3D, resulting in slow model training and poor learning effect. To solve the above problems, this paper proposed the Bert-GCN model. Bert pre-training was added on the basis of the original GCN-GRU model to effectively improve the learning effect of multiple features of a single sensor.
Adversarial attack application analytics in machine learning
Authors: Zhang Hongsheng
Published: June 2022

Machine learning is one of the most widely studied and applied technologies, but it is itself vulnerable to attack and its algorithms have the risk of privacy leakage. In this article, through the experts currently popular speech recognition scene, reveals how to build the antagonism against data, make its differences with the source data is subtle, so much so that humans can’t through sensory recognition, and machine learning model can accept and the classification of making the wrong decision, at the same time made attack, finally prospects the study model to research the development and application of security and privacy protection.
Realization of obstacle evaluation system for airport clearance area based on MATLAB
Authors: Zhang Le , Zuo Jiejun
Published: June 2022

As China’s civil airport clearance management system is not perfect, the implementation schemes of civil airport clearance management issued by various regional administrations are different, there are many departments involved in clearance management, and the degree of automation and digitization of airport clearance management is low. This paper analyzes the shortcomings of clearance management in China. In view of the difficulties faced by airport clearance management and the lack of effective clearance evaluation software, starting from the basic theory, this paper establishes the mathematical model of obstacle limit surface, and develops a set of obstacle evaluation system in airport clearance area by using MATLAB. An example shows that the accuracy and evaluation conclusion of the system are reliable, the calculation speed is fast and the interface is friendly. It is helpful to promote the transformation of airport clearance management from manual drawing to scientific, digital and intelligent, and has high theoretical significance and practical value to ensure the safe operation of civil aviation.
Design and implementation of smart home control system
Authors: Hu Zhijie , Zhang Jie , Shen Ruibing , Li Saihan
Published: June 2022

This study designs a smart home control system, aiming to resloving family fires and the problem of children falling over windows. The system includes a data monitoring module, a single-chip control module, a display module, an executive module and an alarm module. The data monitoring module collects the temperature, smoke and pressure inside the home, and the single-chip microcomputer module processes the data collected by the data monitoring module and displays it on the display module in real time. When the temperature value exceeds the set threshold, the alarm module alarms; when the smoke concentration exceeds the lower limit of the set value, the executive module starts; when the smoke concentration exceeds the upper limit of the set value, the exhaust module starts, and the alarm module alarms and reminds that the smoke concentration is too high and need to prevent fire; When the monitored pressure at the window exceeds the set threshold, the drive module starts to close the window, in order to prevent children from falling. The design is simple in structure and low in cost, and can effectively prevent the occurrence of fire and children falling from windows.
Design and implementation of multimedia video fusion system
Authors: Huo Ruicai
Published: June 2022

With the rapid development of computer network application technology, various video products and video systems are changing with each passing day. The daily internal communication, training and exchange activities mainly use video conference, paperless conference, projection display, large screen splicing display and other video systems for interaction. These systems are developed and run independently and lack system linkage. In addition, due to the disunity of platforms, the system is prone to multiple devices, complex operation and low resource utilization, which increases the operation and maintenance cost. To solve the above problems, a set of multimedia video fusion system is designed to integrate various video systems to achieve unified control of video conference, paperless conference, projection display, large screen display and other systems, effectively support the use of various business scenarios, and achieve the purpose of improving efficiency and reducing costs.
Virtual shoe test system
Authors: Deng Changqing , Zhang Xiangyu , Liu Xiaoli
Published: June 2022

In order to solve the problem of uncomfortable wearing shoes caused by foot type or shoe type of consumers, a virtual shoe test system is developed based on computer graphics knowledge. If the online shoe test has problems, it can provide personal customization for consumers. Firstly, the shoe database is constructed to store shoe last model and key parts data for data comparison and fast data query. Secondly, the method based on OBB and AABB bounding box and plane fitting is proposed. Based on the foot bottom surface, combined with the foot shape law and foot skeleton composition of Chinese people, the automatic extraction of key data and the automatic matching of foot and shoe last are realized. Finally, the OpenGL function is realized in the MFC program, and the 3D visualization of shoes and boots is realized. The mouse control function is added to the system, which improves the human-computer interaction experience.
Design and development of intelligent citrus grading system
Authors: Xie Mengjiao , Guan Renlai , Huang Bo
Published: June 2022

In order to reduce the production cost of small-scale farms in China and improve work efficiency, an intelligent grading system for citrus grading was designed. The system combines the synchronous belt with the fruit pallet to realize the rotation and turnover function of Citrus in the conveying process. The control system scheme of the grading system is introduced in detail. Programmable Logic Controller (PLC) is used as the control core and NVIDIA Jetson tx2 (TX2) is used as the visual core. Finally, a small intelligent grading equipment integrating the functions of loading sequencing, transportation identification and grading unloading is built.
Research on electric kettle temperature control system based on MATLAB/Simulink
Authors: Guo Yaqin
Published: June 2022

Constant technology control has been widely used in modern agriculture and industry and daily life, control performance affects the safety, the industry productivity and product quality. Based on MATLAB/Simulink software, take the electric kettle as the control object, the simulation model of constant temperature control system is proposed in the paper, the PID controller is used to calibrate the system, and realize constant temperature control of electric kettle. The simulation results show that the PID controller is used to control temperature, which reduces the time of overshooting and adjusting, improves the control accuracy and system reliability, and has practical reference value.
Research on a hydraulic manipulator arm of an automatic bottom laying robot for underground roadway in coal mine
Authors: Min Fusong , Zhai Zhengcheng , Jin Chao
Published: June 2022

This paper studies a robot with rapid bottoming technology that integrates the transportation, installation and removal of bottoming modules, and rapid road surface leveling. It is driven by explosion-proof diesel and is used for new application equipment with fine operation ability in high-risk environment of coal mine roadway. Research on the integrated design of equipment and research on automation control technology to realize the safe and rapid construction of the bottom laying module, so as to realize the automation of module laying and achieve efficient and safe laying of modules.
Design of automatic spraying machine based on internet of things technology
Authors: Zhou Mo , Zhang Li
Published: June 2022

In order to realize large-area automatic spraying of fruits and vegetables and improve the ability of intelligent spraying device to select the target of key diseases and pests, a new automatic target spraying device for fruits and vegetables is designed based on the Internet of things and intelligent monitoring technology. The new automatic spraying machine can be combined with the real-time monitoring data of diseases and pests, and the infrared scanning technology can be used to accurately spray the target and selectively spray the fruits and vegetables automatically. The single chip microcomputer is used to realize the automatic control of the whole system, and the real-time control can be combined with the mobile terminal software of the mobile phone. The device meets the needs of modern agriculture for pesticide spraying, has a wide range of applications in real life, and has significant practical significance.
A new multimodal planning algorithm based on PRM
Authors: Qin Huanchang , Wu Zaiqun , Pan Pan , Wang Meisuo , Qin Jiangfeng , Ye Ziqi
Published: June 2022

The robot motion planning problem has a unique multimodal structure, where the space of feasible configuration consists of intersecting submanifolds. The planning problem of reconfigurable robot leg motions was considered as a multimodal structure composed of intersecting submanifolds in different dimensions. After that, a new multimodal planning algorithm based on PRM was proposed. Simulation results showed that the new algorithm had a shorter running time than PRM in different modes.
Analysis and trajectory planning for anti-swing on a one-stage cart pendulum
Authors: Wang Dan , Yu Xinlu , Yang Jiangzhao
Published: June 2022

In order to achieve smooth and anti-swing positioning process, a smooth trajectory planning scheme, which is mainly the linear combination of trigonometric functions, is proposed for a one-stage cart pendulum. Based on the internal dynamics of the cart pendulum system, the planning trajectory of the cart is derived from the anticipated swing angle of the pendulum bar, which satisfies the initial and terminal state constraints. Experiments are conducted to demonstrate the performance of anti-swing with the introduced planned trajectory.
VoxelMorph++: a convolutional neural network architecture for unsupervised CBCT to CT deformable image registration
Authors: Liu Dingqian , Liu Jiwei
Published: June 2022

We use an unsupervised method based on the VoxelMorph architecture for Cone-beam computed tomography (CBCT) to CT deformable image registration (DIR), and propose VoxelMorph++, a new architecture for predicting the deformation vector field (DVF). The proposed architecture (1) overcomes the limitation that the optimal depth of encoder-decoder is unknown, by forming a nested structure where each feature with varying depth in the encoder path has a corresponding depth decoder; (2) fuses features of varying semantic scales more flexibly by redesigning skip connections. In the testing phase, we used ITK-SNAP software to semi-automatically segment the patients’ lung regions as labels to solve the problem of expensive manual labelling. We evaluated these two architectures using lung region registration results from 10 patients’ CBCT and CT images. After registration, the mean Dice score improved from 0.8556 to 0.9412 and 0.9430 for VoxelMorph and the proposed architecture, respectively. The results show that both architectures perform well in our dataset and the proposed architecture outperforms VoxelMorph in terms of registration accuracy.
Blind sorting of multiple FH signals in synchronous networking under underdetermined conditions
Authors: Yang Yinsong , Wu Tao , Wang Hui , Wang Jinyu , Zhang Zhiwei
Published: June 2022

In order to improve the performance of network sorting under underdetermined conditions, this paper proposes a blind sorting method for multiple frequency hopping (FH) signals in synchronous networking based on the blind source separation. Firstly, the short-time Fourier transform is performed on the multiple FH signals received by the L-shaped antenna array, and the time-frequency map is denoised by using the adaptive threshold of the SNR. Then the time-frequency single-source-point (SSP) detection algorithm is used to get effective time-frequency SSP. The FH signal is segmented on the time-frequency diagram to detect the frequency hopping time. In a certain hopping time, carrier frequency and its corresponding mixing matrix is estimated. Finally, the DOA information of the FH signal is calculated according to the carrier frequency information and the estimated mixing matrix, and the multiple FH signals are sorted according to the DOA information. Theoretical research shows that multiple FH signals can be separated by only three receiving antennas, and simulation results verify the effectiveness of the proposed algorithm.
A resource allocation algorithm for communication interference
Authors: Wu Tao , Wu Jixiang , Sun Jing , Liu Shirong , Lei Zhenyan
Published: June 2022

Aiming at the problem of interference resource allocation in communication, an interference resource allocation algorithm based on Breadth First Search (BFS) is proposed in this paper. In the jamming problem, the jammer can interfere with the target on a number of frequencies. Affected by some factors, the jamming frequency of a single jammer needs to be concentrated as much as possible. The frequency point set is divided into multiple frequency bands. The signals in the same frequency band are considered to be close to each other. The optimization problem is transformed into allocating the least jamming frequency band of jammer. The optimal interference resource allocation method of the model can be obtained by BFS. Simulation results show that the algorithm has significant index advantages over the manual selection of methods.
Anti-electromagnetic interference method based on high-order cumulant method and PRI sorting
Authors: Yu Zhaoyang , Lin Wei , Yu Yudan
Published: June 2022

Facing the increasingly complex electromagnetic environment, how to make the detection instrument still have better detection performance is one of the current research hotspots. This paper proposes an anti-electromagnetic interference method based on high-order cumulant and PRI sorting. The former identifies the modulation type of the signal, the latter sorts the signals with different modulation parameters of the same modulation type, and finally selects the signal to be processed. The simulation results show that the algorithm is accurate and effective.
Research on local trajectory planning of autonomous mobile robots
Authors: Zhou Yang
Published: June 2022

In the process of autonomous motion, the mobile robot needs real-time local trajectory planning based on the global smooth path and nominal local trajectory tracking. In this paper, the local trajectory planning problem of mobile robot is studied, and the local path represented by quintic polynomial is optimized in Frenet coordinate system with the global smooth path as reference path, then, according to the information of the robot’s pose, velocity and angular velocity, the robot’s velocity is planned according to all kinds of constraints. A LQR closed loop control law is designed to realize the precise tracking of local optimal trajectory, which makes the robot move safely and stably in the dynamic environment. In the “maze” simulation environment, using the Stageros simulator the local trajectory planning algorithm is tested, and the validity and correctness of the algorithm are verified.
Research on robotic disassembly sequence planning based on genetic programming
Authors: Qin Wangzhao , Jin Liang
Published: June 2022

In the context of green recycling and remanufacturing, in order to achieve economic and environmental benefits, the problem of robotic disassembly sequence planning (RDSP) has received more and more attention from researchers. Considering the structure and kinematic characteristics of industrial robots, this paper uses spatial interference matrix to describe the physical constraint relationship between End-of-Life (EoL) product parts, and a multi-objective robot disassembly sequence planning model with the goal of minimizing the switching time of disassembly tools and maximizing the disassembly profit is created. Meanwhile, a multi-objective robot disassembly sequence planning algorithm based on genetic programming (GP) algorithm is proposed to solve the mathematical model. Finally, a case studies based on a gear pump verify the effectiveness of proposed method.
Graph hierarchical dwell-time attention network for session-based recommendation
Authors: Rong Honghui , Zhu Wenjun , Zhu Cui
Published: June 2022

Session-based recommendation (SBR) is making item recommendations based on anonymous click behavior. SBR based on graph neural networks has shown great power in recent years. It can enhance the representation of items in a session. The aggregation of items is then used to generate a session vector for the recommendation. However, existing SBR models rarely consider the impact of dwell-time in session data when performing session item aggregation. The dwell-time contains the implicit behavior of anonymous users in the session sequence. In order to obtain a more accurate session embedding and take into account the impact of multiple perspectives, we propose a new model, graph hierarchical dwell-time attention network. This approach uses a modified graph neural network to learn session items by extracting loss information from graph modeling. We also design a hierarchical dwell-time attention module that uses the effect of dwell-time to generate long-term preferences for sessions. Experimental results show that GHDAN outperforms the state-of-the-art session-based recommendation methods.
Rumor detection based on graph attention network
Authors: Lv Yuwei , Sun Xuemei , Wen Yonggang , Wang Wanru
Published: June 2022

At present, most of the existing rumor detection methods focus on the learning and fusion of various features, but due to the complexity of language, these models often rarely consider the relationship between parts of speech. This paper uses graph attention neural network model to learn text features and syntactic relations to solve this problem. It uses node attention collection text feature and edge attention collection relationship feature for syntactic dependency tree, and node attention and edge attention to enhance each other. Finally, the proposed method is verified on Twitter and Weibo data sets. The experimental results show that the proposed method has greatly improved the early detection and accuracy of rumors.
Personnel identification and distribution density analysis of subway station based on convolution neural network
Authors: Wang Lei , Zhang Kun , Kang Jian , Peng Meng , Xu Jiayu
Published: June 2022

In this paper, a method based on convolution neural network and multi-camera fusion is proposed to improve the recognition accuracy of crowd and then the personnel distribution of subway station platform is analyzed. In this method, tensorflow is used as the deep learning training framework and the yolov4 neural network algorithm is used to identify the subway station platform area using three videos synchronously. Through affine transformation and time average statistics, the passenger density of each sub-area is calculated and the distribution of personnel density in the whole area is analyzed. The results show that the number of people recognized by multiple cameras is 58% higher than that by single camera. The new recognition method has high recognition rate for the actual scene with large crowd and more obstacles. Finally some areas with high risk of personnel aggregation have been found, which should be the focus of safety monitoring.
Neural machine translation model combining dependency syntax and LSTM
Authors: Zheng Xin , Chen Hailong , Ma Yuqun , Wang Qing
Published: June 2022

For the problem of the lack of linguistic knowledge in the neural machine translation model, which is called Transformer, and the insufficient flexibility of positional encoding, this paper introduces the dependency syntax analysis and the long short-term memory network. The source language syntactic structure information is constructed in the neural machine translation system, and the more accurate position information is obtained by using the memory characteristics of LSTM. Experiments show that using the improved model improves by 1.23 BLEU points in the translation task of the IWSLT14 Chinese-English language pair.
Improved features using convolution-augmented transformers for keyword spotting
Authors: Wang Yi , Yang Junan , Liu Jingtao , Chen Qiang , Li Song
Published: June 2022

Transformer can effectively model long rang dependency, but suffer from uncapable to extract local feature patterns. While CNNs exploit local features effectively. In this paper, we seek to combine convolution and Transformers improves over using them individually, and propose improved features using convolution-augmented transformers for keyword spotting. The convolution-augmented transformers are constructed with a ResNet front-end and a convolution-augmented transformers back-end in series. Using this improved feature for keyword spotting task. The results show that the improved features using convolution- augmented transformers can yield at least 3% improvement compared with other features.
Recognizing the level of organizational commitment based on deep learning methods and EEG
Authors: Zhang Rui , Wang Ziyang , Yang Fangmei , Liu Yu
Published: June 2022

In recent years, the application scenarios for Electroencephalogram (EEG) research have become increasingly extensive. Compared to other tasks, using EEG to recognize the difference in the levels of subjects’ personality traits is a greater challenge to some extent. In this paper, we propose a new task of recognizing the level of people’s Organizational Commitment based on EEG signals and Deep Learning methods. Aiming at this goal, we constructed a graph convolutional neural network structure (EEG-GCN) based on the topological graph of EEG features, and compared it with other deep learning model frameworks such as one-dimensional convolutional neural network (1D-CNN), two-dimensional convolutional neural network (2D-CNN), and LSTM. Meanwhile, we have studied the construction of the adjacency matrix of the EEG feature topology map, and finally found that the combination of Pairwise Phase Consistency (PPC) and geodetic distance is the best choice. The model we constructed can achieve an average accuracy of 79.1%. Furthermore, after expanding the size of our dataset, our model is able to achieve an overall average accuracy of 81.9%. Therefore, it can be seen that the combination of resting-state EEG and deep learning method is effective in recognizing organizational commitment personality traits.
Research on recurrent neural network model based on weight activity evaluation
Authors: Zhang Cheng , Li Luying , Liu Yanmei , Luo Xuejiao , Song Shangguan , Xia Dingchun
Published: June 2022

Given the complex structure and parameter redundancy of recurrent neural networks such as LSTM, related research and analysis on the structure of recurrent neural networks have been done. To improve the structural rationality of the recurrent neural network and reduce the amount of calculation of network parameters, a weight activity evaluation algorithm is proposed that evaluates the activity of the basic unit of the network. Through experiments and tests on arrhythmia data, the differences in the weight activity of the LSTM network and the change characteristics of weights and gradients are analyzed. The experimental results show that this algorithm can better optimize the recurrent neural network structure and reduce the redundancy of network parameters.
Blockchain-based power trading system for microgrid
Authors: You Hongliang , Shan Jingsong , Liu Jiange , Zhao Jiangyang , Sun Chenfu , Zhu Zhenglei
Published: June 2022

Direct trading between entities in the microgrid is the trend of micro-grid electricity trading. However, the lack of trust and endorsement among multiple entities in micro-grids makes it difficult to complete direct electricity transactions, which limits the green energy efficiency. To solve this problem, firstly, a blockchain-based microgrid power transaction level model and power transaction process management process are proposed. Secondly, an access interface between the microgrid smart terminal and the blockchain is designed to realize the connection between the blockchain and the underlying equipment. The system is implemented in an island microgrid, which realizes the peer-to-peer trading between power suppliers and users. The system builds a bridge among entities in microgrid and makes the power trading open, transparent and traceable.
Research on information security interaction based on behavior trust measurement mechanism
Authors: Gao Jian , Yu Huadong , Wang Hongmian , Bai Huifeng , Huo Chao , Zhang Ganghong
Published: June 2022

Along with the computer, communication, control, the rapid development of automation technology, based on the analysis of the information security requirements, combined with the trusted computing provide security solution, the communication control information security interaction model and the key technology to realize information security interaction, put forward a real-time evaluation model based on credible global terminal entities. By introducing penalty factor and time factor, the evaluation method is improved from single evaluation to global evaluation. Taking the user information collection system as an example, the information security communication model of behavior trust measurement mechanism is simulated. The simulation results show that this model has the ability of continuous trust measurement in dynamic uncertain network environment, and can accurately determine the trust of terminal entities in real time, and it is more realistic, which lays a good foundation for the research of trust connection, trust management and trust decision based on trust measurement.
The peeling strength analysis of sandwich structure with cohesive element model
Authors: Wang Xishu , An Yuhang , Dou Nannan , Wu Zhengbin
Published: June 2022

In this study, cohesive element models are applied to the strength analysis of the sandwich structure. As the sandwich structures have been used increasingly in the field of automotive light-weighting, the strength analysis of the sandwich structures becomes an important research topic. Cohesive Zone Models (CZMs) can be used to predict the initiation and propagation of the material cracks. Therefore, the peeling strength of the sandwich structure is calculated and analyzed by the traction-separation law with various CZMs. Experiments have been performed to verify the effectiveness of the sandwich structure via cohesive element models analyzation.