bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis, microstructures, and gas separation performance of norbornyl bis-benzocyclobutene-Tröger's base polymers derived from pure regioisomers
Authors: Hu Xiaofan , Miao Jie , Pang Yuanyuan , Zhao Jiayi , Lu Yao , Guo Heling , Wang Zhen , Yan Jingling
Published: April 2022

CANAL-TB polymers with defined distributions of methyl and TB groups were prepared, and the isomeric effects on the microstructures and gas separation performance were investigated.
Ratiometric fluorescent sensors for nitrite detection in the environment based on carbon dot/Rhodamine B systems
Authors: Tao Huihui , Zhang Zhao , Cao Qiao , Li Lingfei , Xu Shihao , Jiang Changlong , Li Yucheng , Liu Yingying
Published: April 2022

A visual ratiometric fluorescent sensor based on blue carbon dot/Rhodamine B is used to selectively detect NO2− in the environment.
Improved interface passivation by optimizing a polysilicon film under different hydrogen dilution in N-type TOPCon silicon solar cells
Authors: Huang Yanhong , Jia Lizhe , Shi Xiaomeng , Liu Xiaoyu , Lu Wanbing , Cong Ridong , Gao Chao , Yu Wei
Published: April 2022

The efficient passivation at the c-Si interface, and thus the enhanced photovoltaic performance in TOPCon silicon solar cells are obtained by appropriate hydrogen dilution of poly-Si film.
Recent advances in the application of parahydrogen in catalysis and biochemistry
Authors: Buntkowsky Gerd , Theiss Franziska , Lins Jonas , Miloslavina Yuliya A. , Wienands Laura , Kiryutin Alexey , Yurkovskaya Alexandra
Published: April 2022

This review provides a short introduction to the parahydrogen-based hyperpolarization (PHIP) techniques in NMR and MRI and then reviews the current literature on method developments and applications of various flavors of them.
Assembly encapsulation of BSA and CCCH-ZAP in the sodium alginate/atractylodis macrocephalae system
Authors: Zhang Shuxin , Fan Hai , Yi Chunrong , Li Ying , Yang Kunmei , Liu Shenglong , Cheng Ziqiang , Sun Jianchao
Published: April 2022

ZAP and BSA can be encapsulated in the sodium alginate/atractylodis macrocephalae system using an assembly method.
Prediction and realisation of high mobility and degenerate p-type conductivity in CaCuP thin films
Authors: Willis Joe , Bravić Ivona , Schnepf Rekha R. , Heinselman Karen N. , Monserrat Bartomeu , Unold Thomas , Zakutayev Andriy , Scanlon David O. , Crovetto Andrea
Published: April 2022

We synthesize air-stable, p-type CaCuP thin films with high hole concentration and high hole mobility as potential p-type transparent conductors. We study their optoelectronic properties in detail by advanced experimental and computational methods.
Similarity based enzymatic retrosynthesis
Authors: Sankaranarayanan Karthik , Heid Esther , Coley Connor W. , Verma Deeptak , Green William H. , Jensen Klavs F.
Published: April 2022

Using a large database of enzymatic transformations, similarity based enzymatic retrosynthesis search algorithm takes a holistic approach to enzymatic synthesis planning to yield a diverse set of single-step suggestions.
Temperature-dependent soft wetting on amorphous, uncrosslinked polymer surfaces
Authors: Chaudhuri Krishnaroop , Pham Jonathan T.
Published: April 2022

Liquid drops on a polymer melt surface reveal that the wetting ridge growth is governed by surface tension, polymer chain dynamics, and time- and temperature-dependent rheological properties.
Holey amorphous FeCoO-coated black phosphorus for robust polysulfide adsorption and catalytic conversion in lithium–sulfur batteries
Authors: Zhang Guodong , Wang Shanshan , Zeng Xinqian , Li Xingyun , Xiao Liangping , Chen Kai , Lu Qinhuan , Xu Qingchi , Weng Jian , Xu Jun
Published: April 2022

Holey amorphous FeCoO-coated black phosphorus serves as an ideal sulfur host with great structural and compositional features to alleviate the shuttling effect and consequently enhance the performance of lithium–sulfur batteries.
Superior energy storage properties in NaNbO3-based ceramics via synergistically optimizing domain and band structures
Authors: Yang Weiwei , Zeng Huarong , Yan Fei , Lin Jinfeng , Ge Guanglong , Cao Yingbo , Du Wentong , Zhao Kunyu , Li Guorong , Xie Haijiao , Zhai Jiwei
Published: April 2022

A synergistic optimization strategy with regard to ferroelectric domain and band structure is applied to NaNbO3 (NN)-based ceramics. High Wrec and η of 7.33 J cm−3 and 83.68% are achieved simultaneously.
Lipocalin 2 potentially contributes to tumorigenesis from colitis via IL-6/STAT3/NF-κB signaling pathway
Authors: Kim Se Lim , Shin Min Woo , Seo Seung Young , Kim Sang Wook
Published: April 2022

Lipocalin (LCN) 2 (LCN2), a member of the lipocalin superfamily, plays an important role in oncogenesis and progression in various types of cancer. However, the role of LCN2 in inflammation-associated cancer remains unknown. Here, we explored the functional role and mechanisms of LCN2 in tumorigenesis using murine colitis-associated cancer (CAC) models and human colorectal cancer (CRC) cells. Using murine CAC models, we found that LCN2 was preferentially expressed in colonic tissues from CAC models compared with tissues from normal mice. In vitro results demonstrated that the levels of LCN2 mRNA and protein were markedly up-regulated by interleukin (IL) 6 (IL-6) in human CRC cells. Interestingly, we found LCN2 up-regulation by IL-6 is diminished by nuclear factor-κB (NF-κB) and signal transducer and activator of transcription 3 (STAT3) inhibition using specific inhibitors and small interfering RNA (siRNA). Reporter assay results determined that IL-6 induces LCN2 gene promoter activity under control of NF-κB/STAT3 activation. IL-6-induced LCN2 regulated cell survival and susceptibility of developmental factors to the NF-κB/STAT3 pathway. Taken together, our results highlight the unknown role of LCN2 in CAC progression and suggest that increased LCN2 may serve as an indicator of CRC development in the setting of chronic inflammation.
Intraoperative Auditory Brainstem Response Measurements via the Vibrant Soundbridge Active Middle Ear Implant: Comparison of Two Methods
Authors: Cebulla Mario , Herrmann David P. , Hagen Rudolf , Rak Kristen
Published: April 2022

Purpose:

The Vibrant Soundbridge (VSB) active middle ear implant can be used to treat adults and children with hearing loss. Intraoperative measurements based on auditory brainstem response (ABR) allow the determination of the implant's performance. Two methods for stimulus presentation during ABR measurements via VSB will be compared.

Method:

ABRs were measured in patients implanted with a VSB using a standard ABR system. The stimulus was transmitted directly to the VSB using a new transmission unit (AcoustiAP, MED-EL) and for comparison via a standard audio processor coupled to a wireless streaming device. The study included 10 subjects with mild-to-profound sensorineural, conductive, or mixed hearing loss.

Results:

As opposed to the wireless method, the AcoustiAP transmits the ABR stimulus without additional signal processing. Therefore, only minor distortions of the transmitted signal are to be expected. There was no significant difference between the performance of the two methods (mean wave V amplitudes 313 [75.2] vs. 301 [88.2] nVpp). In addition, the new system allowed for a more stable connection to the implant system.

Conclusion:

The AcoustiAP is a valuable tool for performing ABR measurements in patients during VSB implantation using standard equipment, as it allows for easier and more controlled measurements of the coupling efficiency of the implant.
Image fragile watermarking algorithm based on deneighbourhood mapping
Authors: Wang Yilong , Li Zhenyu , Gong Daofu , Lu Haoyu , Liu Fenlin
Published: April 2022

To address the security risk caused by fixed offset mapping and the limited recoverability of random mapping used in image watermarking, a self‐embedding fragile image watermarking algorithm based on deneighbourhood mapping are proposed. First, the image is divided into several 2 × 2 blocks, and authentication watermark and recovery watermark are generated based on the average value of the image blocks. Then, the denighbourhood mapping is implemented as, for each image block, its mapping block is randomly selected outside its neighbourhood. Finally, the authentication watermark and the recovery watermark are embedded into the image block itself and its mapping block. Theoretical analysis indicates that in the case of continuous area tampering, the proposed watermarking algorithm can achieve a better recovery rate than that of the method based on the random mapping. The experimental results verify the rationality and effectiveness of the theoretical analysis. Moreover, compared with the existing embedding algorithms based on random mapping, chaos mapping, and Arnold mapping, in the case of continuous area tampering, the proposed algorithm also achieves a higher average recovery rate.
Sub‐region non‐local mean denoising algorithm of synthetic aperture radar images based on statistical characteristics
Authors: Ma Wei , Xin Zhihui , Liao Guisheng , Sun Yu , Wang Zhixu , Xuan Jiayu
Published: April 2022

When synthetic aperture radar (SAR) images are denoised by non‐local mean (NLM) algorithm, logarithmic transformation will lead to the loss of some image information. To keep the details and smooth the noise of the SAR images better, a new sub‐region NLM denoising algorithm with the statistical characteristics of SAR image is proposed in this paper. Firstly, the probability distribution image is generated by calculating the probability value of every pixel. Then the images can be divided into the heterogeneous region and the homogeneous region by the threshold obtained with the variation coefficient of the probability image. A new filtering weight using both the original and probability images is generated based on NLM in the heterogeneous region. The filtering weight is obtained using the probability image in the homogeneous region. This method fully considers the characteristics of noise in different regions. Multi‐SAR image experiments demonstrate the advantages of noise smooth and detail protection.
Energy‐optimal study integrated speed trajectories, timetable and the layout of neutral sections for high‐speed railway
Authors: Sheng Zhao , ShangGuan Wei , Cai Bai‐Gen , Song Hongyu
Published: April 2022

Speed trajectories, timetable and the layout of neutral sections are the key elements that affect train energy consumption (EC). This paper combines the microscopic energy‐efficient train control (EETC), macroscopic energy‐efficient train timetabling (EETT) and neutral sections location planning (NSLP), to achieve minimum EC in bi‐directional high‐speed railway. An integrated model is first established based on neutral sections distribution model, timetable model and a multi‐phase model. Then, a double loop genetic algorithm (DLGA) is designed for matching the proposed model. The case studies are conducted by the proposed model and algorithm on the Wuhan‐Yueyang rail corridor. A simple case for single‐train movement in one section is primarily executed with variable neutral section location, to investigate the impact of neutral section location for train operation. The results indicate that neutral section locating at the coasting (CO) and cruising (CR) zones is the prior choice for energy conservation. Then, three integrated problems (EETC, EETC + EETT and EETC + EETT + NSLP) are carried out to obtain the energy‐optimal speed trajectories, timetable and the layout of neutral sections, showing that EETC + EETT + NSLP increases the regenerative energy recycling from 14.2% to 49.1% and achieves 9.2% energy reduction compared with EETC.
Psilocybe mexicana R. Heim – Mexikanischer
Kahlkopf
Authors: Kuhn Antonia , Melzig Matthias F.
Published: April 2022

Psilocybe mexicana R. Heim ist ein
Pilz mit langer ethnopharmakologischer Tradition, der als wirkungsbestimmende
Inhaltsstoffe Psilocybin und Psilocin enthält. Die psychostimulierende,
halluzinogene Wirkung wurde bisher vor allem in traditionellen Zeremonien der indigenen
Bevölkerung Mittel- und Südamerikas genutzt. Die Eignung als
Therapeutikum für verschiedene psychische Krankheiten, wie der Depression, soll
in aktuellen klinischen Studien untersucht werden. Noch ist die Studienlage nicht
ausreichend und sind zugrundeliegende Mechanismen nicht abschließend
geklärt.
Editorial
Authors: Nießen Johannes , Bruns-Philipps Elke , Stark Karlin
Published: April 2022

Liebe Leserinnen und Leser, liebe Kolleginnen und Kollegen,

„Der Öffentliche Gesundheitsdienst – Jetzt die
Zukunft“ – der Abstractband, den Sie in Händen halten,
ist für uns, die Vorstandsmitglieder des Bundesverbandes der
Ärztinnen und Ärzte im Öffentlichen Gesundheitswesen,
etwas ganz Besonderes. Im Jahr 2020 musste der fertig geplante Bundeskongress in
Saarbrücken abgesagt werden. Das war für alle, die so viel
Energie in die Vorbereitung und inhaltliche Gestaltung gesteckt hatten, ein
herber Schlag. Unser ausdrücklicher Dank geht dabei an das
Bundesministerium für Gesundheit, welches uns auch im Fall dieser nicht
vorhersehbaren Situation sehr unterstützt hat.
DNVF Memorandum Gesundheitskompetenz (Teil II) –
Operationalisierung und Messung von Gesundheitskompetenz aus Sicht der
Versorgungsforschung
Authors: Stock Stephanie , Isselhard Anna , Jünger Saskia , Peters Stefan , Schneider Gundolf , Haarig Frederik , Halbach Sarah , Okan Orkan , Fischer Florian , Bollweg Torsten Michael , Bauer Ullrich , Schaeffer Doris , Vogt Dominique , Berens Eva-Maria , Ernstmann Nicole , Bitzer Eva Maria
Published: April 2022

Das vorliegende „DNVF Memorandum Gesundheitskompetenz (Teil 2) –
Operationalisierung und Messung von Gesundheitskompetenz aus Sicht der
Versorgungsforschung“ des Deutschen Netzwerks Versorgungsforschung e.V.
(DNVF) stellt die Fortführung des Memorandums „DNVF Memorandum
Gesundheitskompetenz (Teil 1) – Hintergrund, Gegenstand und
Fragestellungen in der Versorgungsforschung“ dar. Neben den allgemeinen
Anforderungen an die Messung der Gesundheitskompetenz, beschäftigt sich
dieses Memorandum auch mit den speziellen Anforderungen, wie die Abgrenzung zu
verwandten Konstrukten, den Unterschieden zwischen performanzbasierten und
Selbsteinschätzungsverfahren, den Unterschieden zwischen generischen und
spezifischen Instrumenten, dem Einsatz von Screeninginstrumenten sowie der
Messung der Gesundheitskompetenz bei speziellen Personengruppen. Weiterhin
werden Besonderheiten bei der Messung der digitalen Gesundheitskompetenz,
Potenziale qualitativer und partizipativer Forschungszugänge sowie
forschungsethische Gesichtspunkte bei der Messung der Gesundheitskompetenz
erarbeitet. Ein besonderer Wert wird auf den Praxisbezug gelegt, der am Ende der
jeweiligen Abschnitte mit einem Fazit für die Versorgungsforschung
aufgegriffen wird. Abschließend wird einen Blick auf Herausforderungen
und Forschungsdesiderate im Zusammenhang mit der Messung von
Gesundheitskompetenz im Rahmen der Versorgungsforschung geworfen.
Phytotherapie in der S3-Leitlinie Komplementärmedizin in der
Behandlung von onkologischen Patient:innen
Authors: Rostock Matthias
Published: April 2022

Im September 2021 ist erstmals eine Leitlinie für
Komplementärmedizin in der Behandlung von onkologischen Patient:innen in
Deutschland publiziert worden. Während andere
komplementärmedizinische Verfahren wie Akupunktur, Akupressur,
Homöopathie und Verfahren der Mind-Body-Medizin wie Meditation,
Mindfulness-based Stress Reduction, Tai-Chi/Qigong und Yoga bei
spezifischen Indikationen zumindest mit einer offenen Empfehlung
(„kann“) eingeordnet wurden, betraf dies in der Phytotherapie
lediglich Zubereitungen aus den Drogen der vier Heilpflanzen Traubensilberkerze,
Ginseng, Ingwer und Mistel. In diesem Artikel wird zum einen der methodologische
Hintergrund für diese Bewertung erörtert. Zum anderen erfolgt
eine Diskussion über einen wissenschaftlich und klinisch angemessenen
Umgang mit der Phytotherapie bei Patient:innen mit Tumorerkrankungen vor dem
Hintergrund dieser neu veröffentlichten Leitlinie.
Sellar Floor Reconstruction with and without Intrasellar Fat Packing after Endoscopic Resection of Large Pituitary Macroadenomas with Evident Intraoperative CSF Leak
Authors: Darwish Mohab , Nanous Walid , Hamead Khalaf , Ismail Mostafa
Published: April 2022

Background Intraoperative cerebrospinal fluid (CSF) leak is not uncommon with endoscopic transsphenoidal surgical excision of pituitary macroadenomas. How to seal the defect and prevent postoperative leak is still a matter of debate.

Objectives In patients with CSF leak, we tried to figure out which is more important in preventing postoperative leak, is it the sellar fat packing, is it tight repair of the sellar floor, or do we need to combine them both?

Patients and Methods Over 5 years, in patients with evident intraoperative CSF leak, with growing experience supported by positive postoperative results, we shifted gradually from intrasellar packing using combined fat graft and bioabsorbable materials (SURGICEL FIBRILLAR/Gelfoam) (group A, n =15) to only bioabsorbable materials (group B, n = 18), either of which is followed by tight repair of the sellar floor.

Results Postoperative clinical assessment did not differ significantly between both groups at early, midterm, and long-term follow-up intervals. We did not have any patients with delayed postoperative CSF leak or symptomatic empty sella syndrome (ESS).

Conclusion There is no difference in the incidence of postoperative CSF leak and clinical ESS among both groups, indicating that tight sellar floor repair is more important than packing the sellar cavity with or without fat graft.
High-Grade Astroblastoma in a Young Female: An Enigma with a Rare Cautionary Tale
Authors: Meel Mukta , Gandhi Ashok , Jindal Arpita , Kumar Mukesh
Published: April 2022

Astroblastoma is an uncommon neuroepithelial primary brain neoplasm with speculative histopathological origin and unpredictable clinical behavior. They can be easily misdiagnosed, as they are rarely encountered in clinical practice and share common radiological and histopathologic appearances with other glial neoplasms. Herein, we report a case of high-grade astroblastoma in a 27-year-old female with complaints of seizures and loss of consciousness, which was misdiagnosed as atypical meningioma on neuroimaging, due to its rarity and superficial cortical location appearing as extra-axial mass. Although intraoperative findings were also of an extra-axial tumor, the histology and immunophenotype was of an astroblastoma; thus, highlighting the role of histopathology and immunohistochemistry.
Power enhancement CFD based study of Darius wind turbine via roof corner placement
Authors: Allard Marc Alexandre , Paraschivoiu Marius
Published: April 2022

In this paper, the concept of positioning micro-scale wind turbines on the roof of buildings is being studied for a Darrieus wind turbine, located above the roof of a cubic building at two different positions and operating under different wind flow conditions. The turbine has a height of 2 m and is positioned at 1 or 2 m from the top of the roof of a 30.5 m cubic building. The simulation methodology based on 3D unsteady computational fluid dynamics is first presented, including mesh details and experimental validation of the unperturbed flow baseline configuration. The simulation of different configurations shows that the turbine's Coefficient of Power can reach 0.55 by positioning it above the side corners of the building when the wind reaches the building at 45°. This position indicates that the synergy between the building and the turbine is quite strong such that the turbine should be placed not on top of the frontal corner but on top of one of the side corners. The power produced by this turbine at this location is 464 W. This placement leads to a significant increase in comparison with the maximum coefficient of power (Cp) of 0.32 (equivalent to a power of 378 W) when the turbine does not interact with a building. This increase in performance is very impressive. An increase of 25% in the power extracted can lead to better integration of wind turbines on roofs.
Hybrid numerical simulation of the generation and distribution characteristics of SF6 heavy particles under different DC PD energies
Authors: Yang Dong , Zhu Liying , Gao Yuanhe , Du Hong , Zeng Fuping , Zhang Guozhi
Published: April 2022

To investigate the decomposition law of SF6 under negative direct current partial discharge (PD) at different energies, a SF6 PD hybrid numerical model based on fluid dynamics and plasma chemical reaction models, in which 14 particle species and 24 chemical reactions are considered, is proposed. The effectiveness of the proposed model is validated with the current pulse waveform and the V–I discharge curve obtained by experiment. The influence of discharge energy on SF6 PD characteristic quantities and SF6 decomposition products is investigated with simulation and experiment. The results show that most of the discharge area of SF6 is neutral, and the cation clouds only exist in the ionosphere (4.79–5 mm). With the increase in applied voltage, the electric field intensity of the needle plate gap does not increase completely and even decreases in some areas. Moreover, different from the traditional opinion, the generation of SO2F2 under PD is mainly generated by the hydrolysis reaction of SOF4, which is formed by [SF5], [SF4], and [OH], [O]. The reaction path of [SF2] with O2 is not important. Thus, c(SO2F2)/c(SOF2 + SO2) can be used as the energy characteristic component ratio because of its ability to represent the low-fluorine sulfide ratio n([SF5])/n([SF4]).
GaN HEMTs on low resistivity Si substrates with thick buffer layers for RF signal amplification and power conversion
Authors: Song Wenjie , Zhang Jie , Zheng Zheyang , Feng Sirui , Yang Xuelin , Shen Bo , Chen Kevin J.
Published: April 2022

We report GaN high-electron-mobility transistors (HEMTs) with a thick (7.7 µm) GaN buffer on a Czochralski low resistivity Si (LRS) substrate. The GaN HEMTs exhibit high performance for both radio-frequency (RF) amplification and power conversion. The thick GaN buffer was grown by means of vacancy engineering, delivering a low dislocation density of ∼1.6 × 108 cm−2, contributing to suppressed RF signal coupling to the lossy Si substrate and a high vertical voltage blocking capability. For RF performance, GaN HEMTs with a 650 nm gate exhibit an fT/fMAX value of 25.1/32.3 GHz and a maximum output power POUT of 2.2 W/mm at 4 GHz with a drain voltage VDS of 20 V, which is comparable with the performance of RF GaN HEMTs on a high-resistivity silicon substrate without the existence of the field plate. For power performance, the vertical breakdown voltage of the wafer is 1160 V, and the three-terminal lateral breakdown voltage is 885 V in a GaN HEMT with a gate-to-drain distance of 8 µm. The thick GaN layer on the LRS substrate scheme thus provides a compelling platform for monolithic integration of high-performance RF devices and high-voltage power devices.
A saturation mutagenesis screen uncovers resistant and sensitizing secondary
KRAS
mutations to clinical KRAS
G12C
inhibitors
Authors: Feng Siyu , Callow Marinella G. , Fortin Jean-Philippe , Khan Zia , Bray David , Costa Mike , Shi Zhen , Wang Weiru , Evangelista Marie
Published: April 2022

Significance

KRAS
G12C
inhibitors have demonstrated promising efficacy in non–small-cell lung cancer patients harboring the KRAS
G12C
mutation. However, the mechanism of resistance remains to be fully understood. To understand the consequences of single amino acid changes within KRAS
G12C
, we conducted a saturation mutagenesis screen of the KRAS
G12C
protein and assessed the mutational impact on drug sensitivity. Not only did our screen reveal resistant hits that were identified from patients’ samples (V8L, C12F, R68S, H95D, H95R, and Y96C), but we also discovered variants that sensitize the inhibition. Furthermore, we examined the human genetics databases and identified germline or somatic KRAS mutations that appear among the strong resistance hits. Our study positions future drug discovery targeting KRAS
G12C
toward focusing on inhibitors preserving potency against resistance mutations at key residues.
Outsourcing Management to the Private Sector, Community-Based Tourism in Mozambique
Authors: Spenceley Anna
Published: April 2022

Covane Community Lodge is located in the buffer zone of the Limpopo National Park in Mozambique, and within the Great Limpopo Transfrontier Conservation Area. Over the years the accommodation has been supported with funds from USAID and the World Bank, and with technical support from non-governmental organisations. The community owners ran the lodge for several years, but commercial success, and better benefits for the community, have been achieved by outsourcing the management to the private company Scholtz Consutoria e servicos Lda.

Information

Snyman, S. and Spenceley, A. (2019) Private Sector Tourism in Conservation Areas in Africa, CABI

© CAB International 2022
Ground state properties of polonium isotopes using covariant density functional theory
Authors: Elsharkawy H M , Abdel Kader M M , Basha A M , Lotfy A
Published: April 2022

In the framework of the Relativistic Hartree-Bogoliubov (RHB) mean-field model, a Covariant Density Functional Theory (CDFT) is used to systematically investigate the triaxial shape evolution of even–even polonium isotopic chain (N = 102–148). Two different effective interactions, i.e. the Density-Dependent Meson-Exchange (DD-ME2) and the new parameter set of Density-Dependent Point-Coupling (DD-PCX) interactions, are utilized in the current study. Besides, the new parameter-free proxy-SU(3) model is used to investigate the ground state shapes of polonium isotopes. CDFT calculations with both parameter sets, predict shape coexistence in the neutron deficient side of polonium isotopic chain, which meets the same prediction of the proxy-SU(3) scheme. The predicted shapes of nuclei are in good agreement with several experimental studies, as well as other theoretical models presented in the current paper. Also, one triaxial ground state is predicted by DD-ME2, DD-PCX, and proxy-SU(3) but for three different nuclei. Different ground state properties like binding energy per nucleon, two-neutron separation energy and proton- neutron- and charge radii are presented in comparison with available experimental data as well as other theoretical models, like the Finite-Range Droplet Model (FRDM), the Infinite Nuclear Matter Model (INMM) and Deformed Relativistic Hartree-Bogoliubov theory in Continuum (DRHBc).
New approach for amplitudes with multiple fermion lines *
Authors: Zhang Feng , Gong Bin , Wang Jian-Xiong
Published: April 2022

A new approach for tree-level amplitudes with multiple fermion lines is presented. It primarily focuses on the simplification of fermion lines. By calculating two vectors recursively without any matrix multiplications, the result of a fermion line is reduced to a very compact form depending only on the two vectors. Comparisons with other packages are presented, and the results show that our package FDC provides a very good performance in the processes of multiple fermion lines with this new approach and some other improvements. A further comparison with WHIZARD shows that this new approach has a competitive efficiency in computing pure amplitude squares without phase space integration.
Decoupling representation learning for imbalanced electroencephalography classification in rapid serial visual presentation task
Authors: Li Fu , Li Hongxin , Li Yang , Wu Hao , Fu Boxun , Ji Youshuo , Wang Chong , Shi Guangming
Published: April 2022

Objective. The class imbalance problem considerably restricts the performance of electroencephalography (EEG) classification in the rapid serial visual presentation (RSVP) task. Existing solutions typically employ re-balancing strategies (e.g. re-weighting and re-sampling) to alleviate the impact of class imbalance, which enhances the classifier learning of deep networks but unexpectedly damages the representative ability of the learned deep features as original distributions become distorted. Approach. In this study, a novel decoupling representation learning (DRL) model, has been proposed that separates the representation learning and classification processes to capture the discriminative feature of imbalanced RSVP EEG data while classifying it accurately. The representation learning process is responsible for learning universal patterns for the classification of all samples, while the classifier determines a better bounding for the target and non-target classes. Specifically, the representation learning process adopts a dual-branch architecture, which minimizes the contrastive loss to regularize the representation space. In addition, to learn more discriminative information from RSVP EEG data, a novel multi-granular information based extractor is designed to extract spatial-temporal information. Considering the class re-balancing strategies can significantly promote classifier learning, the classifier was trained with re-balanced EEG data while freezing the parameters of the representation learning process. Main results. To evaluate the proposed method, experiments were conducted on two public datasets and one self-conducted dataset. The results demonstrate that the proposed DRL can achieve state-of-the-art performance for EEG classification in the RSVP task. Significance. This is the first study to focus on the class imbalance problem and propose a generic solution in the RSVP task. Furthermore, multi-granular data was explored to extract more complementary spatial-temporal information. The code is open-source and available at https://github.com/Tammie-Li/DRL.
Dynamical quantum phase transitions in the one-dimensional extended Fermi–Hubbard model
Authors: Mendoza-Arenas Juan José
Published: April 2022

We study the emergence of dynamical quantum phase transitions (DQPTs) in a half-filled one-dimensional lattice described by the extended Fermi–Hubbard model, based on tensor network simulations. Considering different initial states, namely noninteracting, metallic, insulating spin and charge density waves, we identify several types of sudden interaction quenches which lead to DQPTs. Furthermore, clear connections to particular properties of observables, specifically the mean double occupation or charge imbalance, are established in two main regimes, and scenarios in which such correspondence is degraded and lost are discussed. Dynamical transitions resulting solely from high-frequency time-periodic modulation are also found, which are well described by a Floquet effective Hamiltonian. State-of-the-art cold-atom quantum simulators constitute ideal platforms to implement several reported DQPTs experimentally.
Irrelevant deformations with boundaries and defects
Authors: Jiang Yunfeng , Loebbert Florian , Zhong De-liang
Published: April 2022

We initiate the study of

T

T

¯

-like irrelevant solvable deformations in quantum field theory with boundaries and defects. For this purpose, we employ a general formalism developed in the context of spin chains, which allows us to derive both, the deformed bulk and boundary/defect scattering matrices of integrable models. Using the deformed scattering matrices, we derive the flow equation for the deformed finite volume spectrum, as well as the cylinder partition function and the exact g-function.
Influence of secondary flow with a Coanda surface on the direction of jets
Authors: Zhang Qiang , Tamanoi Yu , Sato Kotaro
Published: April 2022

We propose a method for fluidic thrust vectoring by studying the effect of excited secondary Coanda flow on the direction of jets. The primary flow is the steady continuous jet, while the the secondary flow is synthetic jet or continuous flow. In this experiment, speaker is used to adjusted the frequency and velocity amplitude of synthetic jets, while a blower is used to adjust the continuous jet and suction flow.We visualize and compare the primary flow under the influence of various secondary flows. Additionally, computational fluid dynamics is used to investigate the flow characteristics, including the deflection angle. The main results of this study is that both synthetic jets and continuous suction flow are capable of deflection.
3D printed NiTi alloy lattice cantilever beam acoustic metamaterial
Authors: Gao Weirui , Guo Kai , Sun Jie , Yang Bin
Published: April 2022

In this paper, a novel acoustic metamaterial beam attached with lattice structures and resonators is designed for elastic wave attenuation. The proposed acoustic metamaterial beam is fabricated by 3D printing with NiTi alloy. Theoretical analysis using negative effective mass is performed to derive the band gap of structure. The finite element method and experimental analysis are performed to investigate the dispersion relation and transmission spectrum. Furthermore, the effect of geometric features on the band gap is studied by simulations. Results proved that the metamaterial beam can be utilized for the control of low-frequency vibration.
Numerical Study On Aerodynamic Characteristics Of Supersonic Nozzle In Presence Of Ground Effect
Authors: Shi Yalin , Chen Lingling , Chen Pengfei , Yang Qingzhen , Shi Yongqiang , Yang Hua
Published: April 2022

The aeroengine mobile test bench is well applied as it is convenient for outfield transportation and installation, and also it is suitable for different environments. When utilizing a mobile test bench, the distance between the center of the engine and the ground is normally within a range so that it can be manually operated. However, this limited distance will lead to the ground effect, which affects the test performance of the aeroengine.

This paper numerically studies the aerodynamic characteristics of a supersonic nozzle in the presence of the ground effect. The work is conducted with the software package ANSYS Fluent 21, employing the unsteady large eddy simulation. The nozzle works in a supersonic condition, and the distance between the nozzle and the ground is 2Dj. Dj is the diameter of the nozzle outlet. The models with and without ground effect are investigated. The analysis of the flow field confirms that the ground effect enhances the mixing of the jet and the air, and enriches the coherent structure. With the ground effect, the Reynolds stress on the vertical centerline on each section plane is increased, and the shear layer on each section plane is expanded radially. The results show that the ground effect increases the ground temperature after x/Dj=9, shortens the length of the core area by about 12.5%, decreases the mean axial velocity on the centerline of the jet after x/Dj=10, and increases the dimensionless velocity on the near ground side of the vertical plane. Here, x is the distance between the inlet plane and the discussed cross section. The analysis of the thrust characteristics confirms that the ground effect has no influence on the thrust. Therefore, the mobile test bench can accurately evaluate the thrust performance of an aeroengine.
Analysis of double nut installation technology based on new anti loosening performance evaluation test method
Authors: Liu Xiaoyu , Zhang Aixuan , Zhang Zhongwei , Liu Kai , Chen Weiliang , Sun Wendong
Published: April 2022

This paper analyzed the torque combination mode of double nut installation, and two common installation methods are tested and verified by using a new anti loosening performance evaluation method. This method can evaluate the anti loosening performance of small size bolts below M5. Through the test, it is found that when the installation torque of upper and lower nuts is different, the anti-loosening performance of double nuts is better than that of upper and lower nuts with the same mounting torque. It is found that there is a certain dispersion in the anti-loosening performance of double nuts, It is analyzed that the reason for this phenomenon is the difference of product quality. It is proposed to evaluate the quality consistency of fastener products through the dispersion degree of torque coefficient K, and a method to determine the installation torque through the angle torque curve is given.
Design of spaceborne self-closed loop extensible temperature control system based on FPGA
Authors: Huang Yi , Wang Lei , Gu Chenyue , Li Xiaoqing , Wan min , Cheng Guimei
Published: April 2022

The paper describes the design method and implementation of a self-closed loop extensible temperature control system for spaceborne based on FPGA. FPGA is used as the core of data processing System. Firstly using the high accuracy AD and analog switch for temperature data collection. The FPGA is to filter data by average calculation, voltage correction algorithm and PWM controlling temperature algorithm. Finally, after processing temperature control parameters, according to the corresponding channel relation it outputs temperature control parameters to the corresponding control output on NMOS. It can be uploaded temperature threshold parameters through SPI bus, and the corresponding relationship parameters between temperature control and temperature measurement can be modified, and it carry out the remote sensing function on the earth. The system can realize multi-system cascade temperature control through Rs422 bus. This process realizes a complete self-closed loop process, and finally achieves the system design goal.
Crack detection of bushing joint lug based on synthetic aperture fully focused phased array
Authors: He Xiao , Ning Ning
Published: April 2022

In service aircraft, the joint is a key part of the aircraft structure, which needs to bear huge loads. Once cracks occur, it will harm the safety of the overall structure of the aircraft. ABUQUS analyzes the stress concentration area of the joint with bushing (i.e. the location where cracks are easy to occur), and proposes a synthetic ultrasonic detection method at the opening stage. The acquisition and imaging formula of full-focus series ultrasound was derived, and the test block with artificial notch was prepared to verify the test. The error was compared by comparing the measured value with the real value.
Topology Optimization Design With Addictive Manufacturing Constraints for Centrifugal Impeller
Authors: Liu Sifan , Mi Dong , Wen Changlong , Zheng Yanbing
Published: April 2022

Weight reduction of centrifugal impeller is of great significance for improving thrust-weight ratio of aero-engine. In this paper, the weight reduction design for a centrifugal impeller considering additive manufacturing constraints was carry out. First of all, reducing the structure weight by using the topology optimization method based on variable density method. Secondly, reconstructing the results of topology optimization based on the overhang angle, minimum length, connectivity and other additive manufacturing constraints, whose structure contains the self-supporting cavity, oval powder discharge holes and annular convex plate. Finally, adjusting the reconstructed model by using size optimization, which obtained an innovative hollow centrifugal impeller with both lightweight and high mechanical performance. The results indicate that the mass of the optimized centrifugal impeller reduces by 18.5% compared with the original model at the same stress level. The method and scheme can provide reference for the structural optimization design of aero-engine centrifugal impeller.
Vibration Attenuation Performance of Meta-lattice Sandwich Structures with Truss-cores
Authors: Xu Lanhe , Cao Xuche , Cui Xinbo , Li Bing
Published: April 2022

In recent years, lattice sandwich structures with truss-cores have shown great potential in lightweight, high load-bearing and multifunctional applications. However, there is still a lack of research on the vibration attenaution characteristics of such structures. In this paper, combined with the design concept of elastic metamaterial with the lattice truss-core sandwich structures, a meta-lattice sandwich structure with double-layer pyramidal truss core is proposed to realize superior vibration attenuation performance. Theoretical and numerical investigations are conducted on the bandgap mechanisms of the proposed meta-lattice structures. The efficient vibration suppression within the bandgap range is verified by numerical simulations. The results of this paper are of reference value for the design and engineering application of the lattice truss structure for vibration attenuation.
The Modular Relative Orbit Design Method for Spacecraft Proximity Motion
Authors: Wu Lijun , Zhong Weichao , Li Wenlong , Yu Haiyong , Zhang Hao
Published: April 2022

This paper presents a modular relative motion trajectory design tool for proximity operation of on-orbit service spacecrafts. First, a series of commonly used relative motion trajectories are defined. The dynamics are solved such that each type of trajectory is encapsulated into different modules. The input parameters of each module include the key geometrical features, such as the initial position, desired final position, and flying time. Different modules are connected via the same position and velocity. The modular orbit design tool is able to cover most of the typical proximity operation scenarios. Following that, two notational on-orbit service missions are given as examples to describe the specific usage process of the tool. It includes three major steps, namely, determining the appropriate module sequence according to the mission requirements, designing the pending input parameters of each module by taking consideration of constraints, and computing the details of module sequence to generate relative trajectories. Compared with the traditional maneuver-optimized orbit design approach, the modular method has fewer parameters to solve. Additionally, the modular application tool is versatile and can be used for a variety of different on-orbit service missions. This tool is of great importance in standardizing the space operations.
Design of GNSS Receiver Autonomous Integrity Monitoring Platform under Ionospheric Scintillation
Authors: Liu Qi , Zhong Lunlong , Zhao Jing
Published: April 2022

How to evaluate the impact of ionospheric scintillation on the availability of RAIM technology is a key problem to be solved in the field of global satellite navigation system (GNSS) security applications. Based on the relationship between ionospheric scintillation and satellite navigation signal parameters, a scheme of RAIM technology monitoring platform for satellite navigation receiver under ionospheric scintillation is proposed. Firstly, the phase screen model is used to simulate the GNSS satellite navigation signal affected by ionospheric scintillation. Then, the key module of GNSS receiver autonomous integrity monitoring platform under ionospheric scintillation is designed. Simulation results show that the designed platform can effectively simulate satellite navigation signals under ionospheric scintillation and test the effectiveness of various RAIM technology.
Research on Fatigue Characteristics of Bonding interface of Solid Rocket Motor Propellant
Authors: Qu Kai , Xu Xue-wen , Li Jin-fei , Lu Wei-wei
Published: April 2022

With the continuous expansion of the combat mission of the Chinese Navy, the solid rocket motor will be on duty at sea for a long time. During the service period of solid rocket motor, the bonding interface will bear a large number of cyclic fatigue loads. According to the design test, the influence of the strain amplitude and frequency of loading on the bonding interface was studied. The results show that the cyclic loading frequency made no difference on the cyclic damage number in the high frequency. The natural logarithm of the cyclic loading times and cyclic loading accord with linear fitting equation.
Uncertainty Analysis of multi-site damage Crack Propagation Based on the Monte Carlo Method
Authors: Jia Baohui , Xiao Haijian , Fang Jiachen , Shan Zezhong
Published: April 2022

Widespread fatigue damage is one of the main damages of aging aircraft structures, and the problem of multi-site damage has always been a research hotspot in engineering analysis. The traditional probabilistic model for calculating the growth rate of multiple cracks takes into account the multiple uncertain parameters that affect each other’s cracks. However, when solving the multi-site damage (MSD) crack growth problem, the traditional random model needs to solve multiple nonlinear equations. This method becomes no longer applicable. Based on the statistical point of view, this study gives the mutual influence factors of the crack growth process in the form of distribution, and then calculates the probability density function of the crack length under different cycles by sampling with the Monte Carlo (MC) method. Finally, compared with the experimental data, the results show that the calculation results of this method are more accurate and are in good agreement with the experimental data. This method is feasible and accurate for multi-crack propagation analysis of random parameter structures.
Simulation on geometric morphology of multi-channel deposition in laser wire additive manufacturing
Authors: Guo Chuang , Long Jiangqi
Published: April 2022

In multi-channel deposition of laser wire additive manufacturing, to obtain the deposited parts with flat geometric morphology, the deposition process of multi-channel involves the remelting and fusion of the current and the previous channel, and the lap ratio greatly affects the geometric morphology of multi-channel. To study the effect of lap ratio on multi-channel geometric morphology, experiment and numerical simulation were carried out, and the flatness of geometric morphology was taken as the evaluation index. The results show that with the increase of lap ratio, the gap between channels is gradually filled, the pits are gradually smaller, and the geometric morphology tends to be flatter. When the lap ratio exceeds the optimal lap ratio, the latter layer deposits too much on the former one and the height of the deposit will gradually increase, forming slope-like deposited parts.
Improved Aircraft Flared Tube Defect Detection Algorithm of YOLOv4 Network Structure
Authors: Zhang Jian , Wei Siwen , Qi Ming , Wang Pengfei
Published: April 2022

When detecting aircraft flared tube defect with the YOLOv4 network structure, tiny object defects will be missed, and resulting in a high missed detection rate and low mAP (mean Average Precision) value. This paper proposes an improved aircraft flared tube defect detection algorithm of YOLOv4 network structure. Firstly, in order to improve the feature extraction capability of the YOLOv4 network for tiny defects, a convolution operation is added to the SPP (Spatial Pyramid Pooling) and PANet (Path Aggregation Network) structure. Secondly, the representation of the feature pyramid is enhanced utilizing the improved PANet. Thirdly, the decoupled head is utilized to improve the model performance. Finally, we construct the aircraft flared tube dataset by labeling the defect samples, and experiment with the improved YOLOv4 network. Experimental results show that the mAP value of defect detection task is increased from 91.26% to 95.31%, average detection time increased from 346.17ms to 278.61ms.
Research on target detection method based on CNN
Authors: Niu Wei , Gao Bo , Zhan Wentao , Cheng Juan
Published: April 2022

Traditional target detection methods have poor tracking effect for targets with excessive displacement or occlusion between adjacent frames, and it is difficult to deal with high-speed moving targets. In view of the low detection rate of the current system in detecting long-distance weak and small targets, false targets and occlusion in the air, the working mode of convolutional neural network (CNN) and its advantages in target detection are analyzed, and a target detection method based on CNN is proposed, which can ensure the target detection accuracy and meet the real-time requirements of combat scenes, Finally, compared with other algorithms, the proposed method achieves the best results on four types of data. While the center error is low, it has high tracking success rate and low time complexity, which meets the requirements of high precision and real-time of the system.