bluuebunny/crossref_metadata_2025 huggingface dataset:
Selective H2 sensing using lanthanum doped zinc oxide thin film: A study of temperature dependence H2 sensing effect on carrier reversal activity
Authors: Ghosh Abhishek , Zhang Chen , Ju Shuai , Zhang Haifeng
Published: September 2020

In the present work, we have demonstrated a highly sensitive H2 gas sensor using a lanthanum doped ZnO (La_ZnO) thin film operated at 300 °C. Also, a p-type to n-type carrier reversal activity is revealed in the presence of H2 gas species, which predominantly depends on the operating temperature and doping concentration of lanthanum. Pure and La_ZnO (1–10 at. %) thin films were successfully synthesized using a sol-gel route, where a 5 at. % lanthanum doped ZnO thin film shows an outstanding H2 gas sensitivity (400%) among all other samples with an optimized temperature of 300 °C. Moreover, this sensor actively responds to a wide H2 gas concentration (10–500 ppm) with a sensitivity of 0.9 (∼n). Additionally, H2 gas sensing selectivity and mixed gas sensing performance were investigated in the presence of CO and CO2 gas species at optimized temperature (300 °C). Results show that the pure and 1–3 at. % La_ZnO thin films exhibited n-type H2 gas sensing, while p-type sensing behavior was observed for 5% and 10% La_ZnO thin films at 300 °C. It is further observed that O− species are extremely active to CO gas species operating at a high operating temperature (>250 °C). Therefore, despite the emerging p-type behavior of the sensor, the ejected electrons are expected to dominantly reduce the sensor resistance in the presence of CO gas species at 350 °C. The improvement of H2 sensing is further interrelated with the defect levels using Raman spectroscopy.
Transient pulse condensation
Authors: Sett Soumyadip , Sokalski Peter , Mehta Manan , Rabbi Kazi Fazle , Gunay Alperen , Miljkovic Nenad
Published: September 2020

Transient convective droplet removal from condenser surfaces has the potential to significantly enhance thermal transport. Despite a century of progress in understanding of steady-state condensation, less is known about transient condensation. Here, we study transient pulse condensation of ethanol vapor. Using rigorous two-phase heat transfer measurements, we characterize transient heat transfer performance for filmwise and dropwise condensation of ethanol on smooth copper and nanostructured copper oxide lubricant-infused surfaces, respectively. We demonstrate an 8X and 5X enhancement in the condensation heat transfer coefficient during transient operation for dropwise and filmwise modes, respectively, when compared to the steady state. Beyond transient heat transfer enhancement, repeated cycles or pulses of dropwise condensation led to 30% higher time-averaged heat transfer performance due to higher nucleation site density and convective effects. Our work not only demonstrates transient condensation as a method to enhance heat transfer but also develops a methodology for enabling enhanced condensers for high power density thermal management systems for applications employing transient energy dissipation.
Flexo/electro-caloric performance of BaTi0.87Sn0.13O3 ceramics
Authors: Patel Satyanarayan , Chauhan Aditya , Vaish Rahul
Published: September 2020

Ferroelectric solid-state refrigerators have the potential to develop as a competitive not-in-kind refrigeration technology. However, their functionality is limited to below Curie temperature for ferroelectricity to exist. This work reports the relatively unexplored strain gradient-induced caloric effect in ferroelectrics known as a flexocaloric effect (FCE). The FCE can manifest beyond the Curie temperature as entropy changes in a dielectric material are achieved employing strain-induced polarization, which, in turn, produces a caloric effect. This study reports FCE analysis of BaTi0.87Sn0.13O3 ceramics in a cantilever configuration. Different strain gradients were induced to produce the FCE by using the temperature-dependent polarization. A maximum temperature change of ∼1.4 K (310 K) was achieved using a strain gradient of 5000 m−1. The same material was also studied for the electrocaloric effect, which was observed to be 0.3 K (310 K). Results indicate that the FCE could be a potential alternative to electrocaloric refrigeration.
Prediction of chlorine and fluorine crystal structures at high pressure using symmetry driven structure search with geometric constraints
Authors: Olson Mark A. , Bhatia Shefali , Larson Paul , Militzer Burkhard
Published: September 2020

The high-pressure properties of fluorine and chlorine are not yet well understood because both are highly reactive and volatile elements, which have made conducting diamond anvil cell and x-ray diffraction experiments a challenge. Here, we use ab initio methods to search for stable crystal structures of both elements at megabar pressures. We demonstrate how symmetry and geometric constraints can be combined to efficiently generate crystal structures that are composed of diatomic molecules. Our algorithm extends the symmetry driven structure search method [R. Domingos et al., Phys. Rev. B 98, 174107 (2018)] by adding constraints for the bond length and the number of atoms in a molecule while still maintaining generality. As a method of validation, we have tested our approach for dense hydrogen and reproduced the known molecular structures of Cmca-12 and Cmca-4. We apply our algorithm to study chlorine and fluorine in the pressure range of 10 GPa–4000 GPa while considering crystal structures with up to 40 atoms per unit cell. We predict chlorine to follow the same series of phase transformations as elemental iodine from Cmca to Immm to Fm3¯m, but at substantially higher pressures. We predict fluorine to transition from a C2/c to Cmca structure at 70 GPa, to a novel orthorhombic and metallic structure with P42/mmc symmetry at 2500 GPa, and finally to its cubic analog form with Pm3¯n symmetry at 3000 GPa.
Application of atomic force microscope in diagnosis of single cancer cells
Authors: Lu Zhengcheng , Wang Zuobin , Li Dayou
Published: September 2020

Changes in mechanical properties of cells are closely related to a variety of diseases. As an advanced technology on the micro/nano scale, atomic force microscopy is the most suitable tool for information acquisition of living cells in human body fluids. AFMs are able to measure and characterize the mechanical properties of cells which can be used as effective markers to distinguish between different cell types and cells in different states (benign or cancerous). Therefore, they can be employed to obtain additional information to that obtained via the traditional biochemistry methods for better identifying and diagnosing cancer cells for humans, proposing better treatment methods and prognosis, and unravelling the pathogenesis of the disease. In this report, we review the use of AFMs in cancerous tissues, organs, and cancer cells cultured in vitro to obtain cellular mechanical properties, demonstrate and summarize the results of AFMs in cancer biology, and look forward to possible future applications and the direction of development.
Aspectual particles and event types in TSM
Authors: Lien Chinfa
Published: September 2020

The paper investigates the syntactic behavior and semantic constraints of four types of aspectual particles (1)
夭

iau2
/
夭故

iau2koh4
‘still’, (2) 已經

i2king1
‘already’,
(3) 夭未

iau2be7
‘not…yet’, and (4) 毋

m7
/無

bo5
/勿

mai3
/免

bien2

故

koh4
‘not…any more’ in
Taiwanese Southern Min (TSM). In line with Löbner (1989) it examines the interaction
between aspectual particles and event types. The four types of aspectual particles can be better captured in terms of the notion
of two consecutive event types: event 1 (Ev1) and event 2 (Ev2) coupled with the value of existence and non-existence of a
situation symbolized by [+] and [−]. Type 1 and 3 share the common element 夭

iau2
and Type 1 and 4, the common element 故
koh4
. Whereas not…yet and still in English show no lexical
relationship, such a relationship is tangible in TSM and German, as in 夭未

iau2be7
still not ‘not…yet’ and 夭

iau2
‘still’, on the one hand,
and noch nicht still not ‘not…yet’ and noch ‘still’, on the other. Parametric variation matters
in dealing with language universal. Like still in English, 夭

iau2
or its compound kin 夭故

iau2koh4
‘still’
develops the non-aspectual additive and even concessive sense.
Requests for stories
Authors: Norrick Neal R.
Published: September 2020

My contribution traces the evolving notion of tellability in the study of narrative over the last thirty-odd years: Tellability was initially seen as an objective property of textual content, but research on narrative in real contexts of talk has increasingly recognized the various ways interactional factors can override content as grounds for relating a story. I advance a set of research strategies based on investigation of the discourse structures that accompany the negotiation of tellability in context and the syntactic markers of tellability, specifically requests for stories like “tell me” and “tell her,” correlating with features of recipient design in narration. This will reveal distinctions in presuppositions about who knows a story already, who else should be included, and who may conarrate, demonstrating how tellability varies from one participant to another even in the same context.
p53 deficiency triggers dysregulation of diverse cellular processes in physiological oxygen
Authors: Valente Liz J. , Tarangelo Amy , Li Albert Mao , Naciri Marwan , Raj Nitin , Boutelle Anthony M. , Li Yang , Mello Stephano Spano , Bieging-Rolett Kathryn , DeBerardinis Ralph J. , Ye Jiangbin , Dixon Scott J. , Attardi Laura D.
Published: September 2020

The mechanisms by which TP53, the most frequently mutated gene in human cancer, suppresses tumorigenesis remain unclear. p53 modulates various cellular processes, such as apoptosis and proliferation, which has led to distinct cellular mechanisms being proposed for p53-mediated tumor suppression in different contexts. Here, we asked whether during tumor suppression p53 might instead regulate a wide range of cellular processes. Analysis of mouse and human oncogene-expressing wild-type and p53-deficient cells in physiological oxygen conditions revealed that p53 loss concurrently impacts numerous distinct cellular processes, including apoptosis, genome stabilization, DNA repair, metabolism, migration, and invasion. Notably, some phenotypes were uncovered only in physiological oxygen. Transcriptomic analysis in this setting highlighted underappreciated functions modulated by p53, including actin dynamics. Collectively, these results suggest that p53 simultaneously governs diverse cellular processes during transformation suppression, an aspect of p53 function that would provide a clear rationale for its frequent inactivation in human cancer.
Adherens junction regulates cryptic lamellipodia formation for epithelial cell migration
Authors: Ozawa Masayuki , Hiver Sylvain , Yamamoto Takaki , Shibata Tatsuo , Upadhyayula Srigokul , Mimori-Kiyosue Yuko , Takeichi Masatoshi
Published: September 2020

Collective migration of epithelial cells plays crucial roles in various biological processes such as cancer invasion. In migrating epithelial sheets, leader cells form lamellipodia to advance, and follower cells also form similar motile apparatus at cell–cell boundaries, which are called cryptic lamellipodia (c-lamellipodia). Using adenocarcinoma-derived epithelial cells, we investigated how c-lamellipodia form and found that they sporadically grew from around E-cadherin–based adherens junctions (AJs). WAVE and Arp2/3 complexes were localized along the AJs, and silencing them not only interfered with c-lamellipodia formation but also prevented follower cells from trailing the leaders. Disruption of AJs by removing αE-catenin resulted in uncontrolled c-lamellipodia growth, and this was brought about by myosin II activation and the resultant contraction of AJ-associated actomyosin cables. Additional observations indicated that c-lamellipodia tended to grow at mechanically weak sites of the junction. We conclude that AJs not only tie cells together but also support c-lamellipodia formation by recruiting actin regulators, enabling epithelial cells to undergo ordered collective migration.
Clinical translation of a new flat-panel detector for beam’s-eye-view imaging
Authors: Harris TC , Seco J , Ferguson D , Lehmann M , Huber P , Shi M , Jacobson M , Valencia Lozano I , Myronakis M , Baturin P , Fueglistaller R , Morf D , Berbeco R
Published: September 2020

Electronic portal imaging devices (EPIDs) lend themselves to beams-eye view clinical applications, such as tumor tracking, but are limited by low contrast and detective quantum efficiency (DQE). We characterize a novel EPID prototype consisting of multiple layers and investigate its suitability for use under clinical conditions. A prototype multi-layer imager (MLI) was constructed utilizing four conventional EPID layers, each consisting of a copper plate, a Gd2O2S:Tb phosphor scintillator, and an amorphous silicon flat panel array detector. We measured the detector’s response to a 6 MV photon beam with regards to modulation transfer function, noise power spectrum, DQE, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), and the linearity of the detector’s response to dose. Additionally, we compared MLI performance to the single top layer of the MLI and the standard Varian AS-1200 detector. Pre-clinical imaging was done on an anthropomorphic phantom, and the detector’s CNR, SNR and spatial resolution were assessed in a clinical environment. Images obtained from spine and liver patient treatment deliveries were analyzed to verify CNR and SNR improvements. The MLI has a DQE(0) of 9.7%, about 5.7 times the reference AS-1200 detector. Improved noise performance largely drives the increase. CNR and SNR of clinical images improved three-fold compared to reference. A novel MLI was characterized and prepared for clinical translation. The MLI substantially improved DQE and CNR performance while maintaining the same resolution. Pre-clinical tests on an anthropomorphic phantom demonstrated improved performance as predicted theoretically. Preliminary patient data were analyzed, confirming improved CNR and SNR. Clinical applications are anticipated to include more accurate soft tissue tracking.
Simulation of defocusing effect based on two-step ABCD algorithm while a modal decomposition
Authors: Zhang Yuying , Wang Tingfeng , Liu Lisheng , Li Yuanyang , Guo Jin
Published: September 2020

Depicting the multimode laser beam by modal decomposition can potentially assess light field variations in the fiber, during propagation. The practical engineering conditions in the lab however could not realize ideal levels, hence further research on factors influencing this method, such as defocus, is especially necessitated. The grid spacing in observation plane by Fast Fourier Transform is fixed and unchangeable within diffraction imaging, hence possibly yielding erroneous data during obtaining light field intensities. Our research resolves these issues via a Two-step ABCD algorithm, applied in the modal decomposition to characterize various guided modes at the output of multimode fibers. A direct benefit is that the image plane size can be altered, further refining laser facula clarity. Furthermore, the quantitative expressions that analyze defocus factors impacting modal decomposition are acquired. The conclusions thereby prove the modal decomposition algorithm can keep effectiveness in the range of −0.25% to 0.25% of relative defocus for low order eigenmodes, having no suitable limited band for high order eigenmodes, with reference value in engineering applications.
Effect of null aether field on weak deflection angle of black holes
Authors: Övgün A. , Sakallı İ. , Saavedra J.
Published: September 2020

We study light rays in the static and spherically symmetric gravitational field of the null aether theory (NAT). To this end, we employ the Gauss-Bonnet theorem to compute the deflection angle formed by a NAT black hole in the weak limit approximation. Using the optical metrics of the NAT black hole, we first obtain the Gaussian curvature and then calculate the leading terms of the deflection angle. Our calculations indicate how gravitational lensing is affected by the NAT field. We also illustrate that the bending of light stems from global and topological effects.
Critical fault diagnosis method of small components of power transmission based on optimizational YOLOv3 algorithm
Authors: Chen Chen Jia
Published: September 2020

In order to solve the problem that the image recognition algorithm in UAV (Unmanned Aerial Vehicle) inspection of power transmission has low recognition rate for small, indiscoverable and high-risk component failures, this paper proposes a critical fault diagnosis method based on the optimizational YOLOv3 algorithm. We add SPP net under the basic framework of the original YOLOv3 and extract multi-scale depth features in the same convolutional layer which can transform all the input images into a uniform size and solve the problem caused by different input image sizes and formats. An optimizational scale prediction framework of YOLOv3 is proposed, which expands the original three-scale prediction frameworks to four scales and carries out multi-scale integration. This improvement is used to strengthen the feature extraction of small and indiscoverable fault. The optimizational algorithm is verified by using the dataset of electrical components of transmission system in the actual scene which have small and indiscoverable faults. The results show that the optimizational YOLOv3 improves the recognition rate of the selected categories by 3.98% on average, and increases the recognition rate of the small size and indiscoverable fault by 11.95% on average.
The Influence of IGBT Aging on the EMI of Traction Converter
Authors: Feng Q P , Lin Y W , Jin K L , Zhang J Q , Li X Q , Wang Q F
Published: September 2020

The Insulated Gate Transistors (IGBT) is a kind of semiconductor that is prone to aging in power electronic equipment. After aging, the IGBT will not only degrade during its operating performance, but will also reduce the reliability of the electromagnetic compatibility (EMC) in its working circuits. This article summarizes and analyzes the aging mechanism of the IGBT and the impacts of the changed characteristic parameters raised by the aging on the characteristics of IGBT while working. The aging will lead to changes in the high-frequent parasitic parameters, which play an essential role in affecting the IGBT with high-frequency and high-power on the electromagnetic interference (EMI) of its working circuits. To further illustrate these issues mentioned above, a typical “AC-DC-AC” traction converter circuit is taken as an example, and adopt a simulation model of conducted interference of traction converter systems by using Saber sketch software to study the influences of the impacts of changes from aging parasitic parameters on EMI of traction converter circuits.
Calculation model of mutual coupling between two ferrite-cored square coils in wireless power application for electric vehicles
Authors: Zhang Yameng , Zhang Xi , Zhu Chong , Cao Dongpu
Published: September 2020

Wireless power transfer (WPT) devices have been widely accepted by more and more industrial producers and consumers due to their safe, convenient, and high-efficient features. Square coils with ferrite cores are usually utilized as magnetic coupling devices by WPT systems for electric vehicles (EVs). However, the research on coupling coils often depends on three-dimensional finite element analysis (3-D FEA) tools such as ANSYS Maxwell or HFSS, which are troublesome and time-consuming. This paper explores a calculation model of mutual coupling between two square coils with ferrite cores based on magnetic mirror method. With this model, accurate results and fast operation speed can be obtained, and 3-D FEA tool is used to compare and verify the performance of this work.
Study on Primary Harmonic Eliminator for Ferromagnetic Resonance in the Neutral Non-effective Grounding System
Authors: Zhao Cong , Li Suya , Li Songyuan , Li Nan , Guo Bowen , Yan Wei
Published: September 2020

The ferromagnetic resonance overvoltage and overcurrent can often appear in the neutral non-effective grounding system, which is caused by the electromagnetic voltage transformer saturation under a certain condition. At present, two different types of primary harmonic eliminators are mainly used to solve the ferromagnetic resonance, which are voltage-sensitive resistor type and thermal resistor type. In this paper, the simulation model based on ATP-EMTP program is established and the results of different harmonic eliminators are compared. The results prove that the primary harmonic eliminator of thermal resistor type can more effectively suppress the ferromagnetic resonance.
Research of virtual impedance layering and distributing control strategy of hybrid renewable energy microgrid
Authors: Yu Qingguang , Jiang Zhicheng , Zhao Mengchu , Liu Yuming , Guo Min
Published: September 2020

Micro-grid technology will combine hybrid renewable energy and power generation technology, clean and environmental protection, improve the utilization of renewable energy; the use of distributed generation units installed in the local characteristics of the governor from the transmission loss and cost. This paper introduced the virtual impedance into the traditional droop control, make the output impedance and line impedance of the inverter are mainly inductive, so the droop control algorithm is implemented. This paper presented a new method based on the virtual impedance to adjust the frequency and voltage of the micro-grid bus two times, to realize the two adjustment of the frequency and voltage of the micro grid. In addition, for the micro-grid power network interaction, based on PQ closed loop control method is proposed to response to the dispatching command. The simulation results show high performance of the designed control strategy.
An improved Chinese text multi-label classification method based on CNN
Authors: Xin Yuanxia , Zhang Zhi
Published: September 2020

Text multi-label classification technology can accurately and quickly classify text information into related categories or topics, and help people quickly locate the required content in massive information resources, which is of great significance in application. As the traditional classification algorithm is faced with the problems of low classification accuracy due to the low correlation of data labels, unbalanced label data and few short text feature words, this paper firstly performs hierarchical pre-processing on label data to transform multi-label classification into hierarchical text multi-classification. At the same time, an improved multi-label classification algorithm Multi-label Convolutional Neural Networks (ML-CNN) is proposed. Based on the TensorFlow framework, a CNN model is designed and different training models are constructed for each level of label classification. According to the number of classification levels, the output of the upper level label is stitched to the original input tail as the next level of input. Experiments on the description information of 500,000 Chinese products with labels, show that the improved algorithm will significantly improve the classification accuracy and the accuracy of each level can reach more than 88%, which proves the feasibility and effectiveness of the algorithm.
Research on the Intelligent Assessment Algorithm of Bone Age Based on Attention Mechanism
Authors: Zhao X X , Li D Y , Li J , Kang J , Yang L
Published: September 2020

Bone age is a reliable index to reflect the maturity of physical development, which is of great significance to evaluate the growth and development of children and adolescents, diagnosis and treatment of diseases. Traditional bone age assessment based on artificial has many problems, such as its time-consuming and subjective result, which may lead to great fluctuation of assessment results. Based on the X-ray image of the hand bones, this study proposes an intelligent prediction model of bone age in Deep Learning based on attention mechanism, combined with the traditional methods of bone age interpretation in Deep Learning. In the pre-processing stage, U-Net is used to remove the background of X-ray image of hand bones, and the dense connection network of attention mechanism is used to extract image features, and the mean absolute error function is introduced to improve the accuracy of this model. In the data set of RSNA competition, the mean absolute error of the method proposed in this study is 0.38 ± 0.10 years old, and obtained the best results reported at present.
Optimization and High-performance Hardware Implementation of Multipath Interference Compensation Algorithm
Authors: Liu Chuan , Lang Shinan , Cai Yiheng , Wu Qiang
Published: September 2020

Our previous sparse regularization method for multipath interference (MPI) compensation in pulsed Time-of-Flight (ToF) depth camera works well on desktop computer. However, pulsed ToF depth cameras are mainly applied in fields such as autopilot vehicles and robots. In these situations, exporting depth images to a computer and running MPI compensation in MATLAB every time are not realistic. Therefore, according to the hardware structure of the multipath interference real-time compensation platform, we use QR decomposition to optimize the sensing matrix in our algorithm for better hardware implementation, while maintaining the accuracy of our algorithm. For the optimized algorithm, we designed an efficient parallel data processing hardware structure that matches the features of our algorithm to optimize the calculation efficiency. Then, we implemented it on the realtime compensation platform. The experimental results show that this algorithm architecture runs stably under the clock frequency and it runs faster than desktop computer.
A Wavelet Analysis-Based Big Data Spectral Clustering Algorithm for Electric Internet of Things
Authors: Zhang Hao , Liu Xin , Liu Donglan , Yu Hao
Published: September 2020

As traditional spectral clustering algorithm is not ideal in big data scenarios, this paper proposes a wavelet analysis-based big data spectral clustering algorithm for Electric Internet of Things. Firstly, using wavelet analysis to measure the dissimilarity of the network communication data, and then the similarity relationship between EIoT data is established to obtain the similarity matrix. Finally the spectral clustering algorithm is used to cluster the data based on similarity matrix obtained above. The experimental results show that the accuracy and purity of the proposed spectral clustering algorithm based on wavelet analysis are respectively 36.2 percent and 19.6 percent higher than traditional algorithms, indicating that the proposed spectral clustering algorithm based on wavelet analysis is effective for EIoT data clustering.
Usability Evaluation for User Interface Design of Application for Recommender System to Enhance the Potential of Community-Based Tourism in Phatthalung, Thailand
Authors: Jomsri Pijitra
Published: September 2020

User experience and user interface design are the important processes in software design and development, especially in the design of mobile applications, which must support the growing needs of users. Moreover, the community tourist attractions in Phatthalung Province are still lack of important information for community enterprises and tourist attractions that offers information matched the needs of users. This research, therefore, aimed to create a user interface design on mobile devices by using user experience, and to study the format of the Application for Intelligent Recommender System to enhance the Potential of Community-Based Tourism in Phatthalung so as to support the work of designers. This research compared the 3 models of UI and evaluated the heuristic of user interface to assure that the proposed format conforms to the basic operations of the user interface. The results showed that most users liked visual presentations from Model 1 and the presentation of tourist attractions with maps suggesting trips to tourist attractions including having media related to the community which helped to attract tourists.
Improved HOG Feature Vehicle Recognition Algorithm Based On Sliding Window
Authors: Ji Yang , Zhong Jun
Published: September 2020

With the continuous development in recent years, machine learning has been extensively used in many application scenarios, especially in vehicle recognition. At present, the histogram of oriented gradients (HOG) algorithm has been widely used in vehicle recognition and facial recognition. This paper studies the HOG algorithm, introduces the vehicle recognition using the HOG algorithm, and introduces a detection method based on sliding window. In this research, an improved HOG algorithm based on sliding window is proposed for vehicle recognition and compared with the traditional HOG algorithm. In randomness test, the traditional recognition method often causes its HOG features to be trapped in a large number of invalid features due to the uncertainty of the vehicle distribution. This makes it difficult to be identified by the classifier, resulting in erroneous images, with an accuracy of only 83.33%. The optimized sliding window algorithm eliminates the influence of overlapping windows, and the number of accurately-recognized images is largely increased, with an accuracy of 91.02%.
A Stereoscopic Warehouse Stocktaking Method Based on Machine Vision
Authors: Peisheng Tao , Ronggui Dao , Yubin Zhang
Published: September 2020

In order to solve the problem of high security risk, low efficiency and low accuracy of the manual stocktaking during stocktaking of stereoscopic warehouse, the image processing method of python+OpenCV visual library software was adopted. Firstly, the sampling camera is controlled by the stacker PLC to traverse all cargo positions and obtain physical images of the goods. Then, OpenCV platform is used to provide operators for image preprocessing, image segmentation and one-dimensional barcode recognition, so as to identify the barcode information and determine the material type. Finally, the inventory report is generated by comparing with WMS system. The research shows that the OpenCV-based method can quickly and accurately identify the one-dimensional barcode, and realize the automatic unmanned intelligent inventory, effectively reduce the workload of staff, improve the production efficiency, avoid the potential risk of manual inventory, and achieve the expected goal.
A New Image Fusion Method Based on PCANet
Authors: Zhu Ying , Li Min , Chen Feng , Qi Xiaoxiang , Qiu Xiaohua
Published: September 2020

In recent years, a simpler principal component analysis network (PCA Net) has been proposed. The network needs fewer parameters to be adjusted, which can solve the problem of long training time. However, because of the infrared and visible images obtained under different environments, the gray distribution of the images is different. If only one base layer fusion strategy is used, the generality of the algorithm may be reduced. To solve this problem, this paper investigates two different base layer fusion strategies. First, the visible dataset is used to train PCANet; second, based on the alternating guided filter to single-scale decomposition of the image to obtain the base layer and the detail layer,then Use the convolution kernel of the trained first layer network to extract the depth features of the source image, process it by kernel-norm to get the activity level map, and then construct the detail layer fusion weights; The base layer uses the two methods of maximum normalization of gray difference and weighted average to obtain the preliminary fusion map of the two base layers. By analyzing the methods in this chapter and other methods in simulation experiments. The QNCIE method in this chapter is 1.25% higher than the other methods. The QFMI is 150% higher than other methods. QP, QY and QCB are higher than other methods.
Depthwise and Spatial Factorized Network: a Light-weight Network for Real-time Semantic Segmentation
Authors: Liu Xiaoyu , Yan Guangyu , Chen Yuanyuan
Published: September 2020

Real-time semantic segmentation requires high quality output in relatively short computing time. The existing deep neural network model usually has complex hierarchical structure and a large number of parameters. For the application of real-time computing, the network has higher requirements for computing performance. To address the speed and accuracy trade-off, a novel structure, named Depthwise and Spatial Factorized Network (DSFNet) is proposed in this paper. In DSFNet, two important strategies are introduced. Firstly, Depthwise and Spatial Factorized Convolution is used to reduce the number of parameters in encoder network remarkably. After that, residual attention mechanism is utilized in decoder with a fast downsampling strategy to obtain sufficient receptive field. These two strategies make the process of upsampling more precisely and achieve better performance. Comprehensive experiments on Cityscapes dataset verify the effectiveness of the proposed DSFNet. The DSFNet achieves 63.08 mIoU at 58 FPS with residual attention mechanism.
Compression and Rendering of Space Environment Volume Data Based on Improved HVQ Algorithm
Authors: Bao L L , Cai Y X , Cui Y M , Liu S Q , Shi L Q
Published: September 2020

We propose an improved HVQ approach by combining two detail levels to compress space environment volumes, based on the variation characteristics including smooth variation and significantly positive correlation between variations in the same direction at two different scales. First, the space environment data is divided into 43blocks. Then blocks are decomposed into a two-level hierarchical representation and each block is represented by a mean value and a detail vector. Finally, the detail vectors are encoded by a vector quantizer. During the vector quantization process, PCA-split is applied to compute an initial codebook, and then LBG-algorithm is conducted for codebook refinement and quantization. We take advantage of the codebook-retraining method to speed up the quantization of time series with temporal coherence. Furthermore, we employ the progressive rendering based on GPU for realtime interactive visualization. The results of our experiments prove that the algorithm proposed in this paper can significantly improve the compression rate and decoding speed without sacrificing fidelity in space environment domain.
Preservation of historical and cultural traditions of the Polish population in the Arctic of the second half of the XIX century: illustrated with the example of Arkhangelsk province
Authors: Samylovskaya E , A Kudryavtseva R-E
Published: September 2020

The paper is devoted to the problem of preserving the national identity of Poles in exile in the Russian Arctic (Arkhangelsk province) during the second half of the XIX century. The research is based on modern Russian and Polish historiography, as well as on published memoirs of Poles in exile. Analysis of sources has shown that the basis for preserving the national identity of Poles in exile was their Catholic faith and national traditions.
Personal determinants of trust in Arctic ships’ crews
Authors: Tatianina LG , Vakhnina EG
Published: September 2020

The article discusses some theoretical aspects of the psychology of trust in groups and organizations and contains a review of several studies devoted to the influence of personal attributes on trust in communication. It discusses the results of an empirical study concerning a topical issue that has been little studied, namely the personal determinants of trust among members of ships’ crews operating in the Arctic. A comparison of crew members’ personality profiles showed that those demonstrating the same level of trust have particular attributes that make it possible to speak of a distinctive psychological type. The results of the study showed that among the characteristics which are regularly manifested by members of Arctic ships’ crews are emotional stability, self-control over behavior and emotions, low anxiety levels, courage, the strength of character, as well as a propensity for sociability, trustfulness, and conformity. Whether a person trusts other crew members depends on such personal attributes as trustfulness, sociability, emotional stability, self-confidence, and a propensity for compliance with group norms. Such values as belevolence and universalism prevail in the value structure demonstrated by crew members, which is reflected in goodwill, empathy, understanding, positive interaction in the group, and a propensity for fostering the well-being of the group. Crew members with a high level of trust are characterized by group values; they believe in the importance of traditions and their observance. Crew members with a low level of trust usually have individual values (a need for strong emotions and new impressions), with group values being less important to them. The results of the study show that there is a strong correlation between trustful interaction in a crew and the personal characteristics of crew members.
Subcritical water extraction of Diosgenin from Dioscorea nipponica Makino and its antioxidant activity
Authors: Zhao Wen-Ying , Hao Hao-Qi , Xiao Wei , Zhu Qing-Shu
Published: September 2020

Subcritical water extraction (SWE) was used as an alternative and environmentally friendly method for extraction of diosgenin from Dioscorea nipponica Makino (DNM). The effects of extraction temperature (75–175 °C) and time (15–45 min) on the diosgenin yield and antioxidant activity of extracts from DNM were analyzed. The profiles of extraction compounds at different temperatures were determined by HPLC. Results showed that diosgenin extraction was significantly (P < 0.05) affected by the extraction time and temperature and their interaction. The antioxidant activity was also affected by treatment time and temperature. The high antioxidant capacity was correlated with the high diosgenin content. Subcritical water may be a potential medium for diosgenin production.
Survey and evaluation of Chinese cherry germplasms in Luding County, Sichuan Province
Authors: Wang Yan , Zhang Hong-wei , Chen Tao , Zhang Jing , Chen Qing , Yang Shao-feng , Wang Xiao-rong
Published: September 2020

Chinese cherry [Cerasus pseudocerasus (Lindl). G. Don] is a commercially valuable fruit crop in China. Although Chinese cherry has a long cultivation history in Luding County, the cultivation status and utilization still remain at the early stage. In this study, we investigated the cultivation status and evaluated the economic traits of Chinese cherry germplasms distributed in 39 villages of 12 towns in Luding County. Chinese cherry is widely situated in variable habitats with various topographies and landforms for its great adaptability. All the County plants Chinese cherry for more than 160000 trees with the yield over 6000 t per year. Lengqi, Luqiao, Pengba, Tianba and Wuni towns have relatively higher field yields and higher income than other towns. A large number of Chinese cherry genetic resources are in danger because of the road development, environment destroying and replacement by sweet cherry. The phenological period lasts for nearly 3 to 4 months from infancy to red mature fruits for Luding cherry. The fruit size ranges from 12.14 mm / 14.73 mm to 17.51 mm / 19.11 mm (longitudinal / transverse diameter) with the fruit shape index from 0.80 to 0.92, revealing nearly spherical shape. The weight per fruit ranges from 1.91 to 3.61 g, corresponding to the germplasms of Nanmenguan Yanzigou and Machang Pengba. The total soluble solid content is over 14% among 12 Luding Chinese cherry resources with the maximum value of 18.8%. Vitamin C and total sugar content ranges from 4.03 to 8.75 mg·100mL−1, and from 7.82 to 13.82 g·100mL−1, respectively. By comprehensive evaluation, Chinese cherry germplasms from Wuni and Machang villages show the most excellent economic traits, which can be further developed and utilized in the future. The transverse diameter, weight per fruit, and total acid content reveal significant positive correlation with altitude, while fruit shape index and sugar accumulation is negatively correlated to altitude. In addition, Luding Chinese cherry reveal some advantages compared with other areas in Sichuan Basin so that effective measures should be taken to preserve these valuable resources and utilize them for cherry breeding program in the future.
Effects of different drying methods on volatile composition of Melaleuca alternifolia essential oil
Authors: Wei Changbin , Ma Zhiling , Qiao Jian , Lin Jingxin , Li Guopeng
Published: September 2020

The quality of Melaleuca alternifolia essential oil is affected by various drying methods. The aim of this study was to investigate the effect of drying methods on the composition of the essential oil. Melaleuca alternifolia essential oil samples subjected to different drying methods were extracted using the methyl tert-butyl ether (MTBE) method and analyzed by gas chromatography-mass spectrometry (GC-MS). In total, 26 volatile compounds, comprising 8 moneterpenes, 6 sesquiterpenes, 4 moneterpenes derivatives, 5 sesquiterpene derivatives, and 3 other derivatives, were identified. We found that the drying methods affected not only the composition of volatile compounds but also the content of different volatiles. The sun-dried essential oil showed the highest amount of volatile compounds, 1895.85 ng/g. Moneterpene derivatives were a major component in M. alternifolia essential oil, especially terpinen-4-ol and 1, 8-cineole.
Process optimization for enzymatic assisted extraction of anthocyanins from the mulberry wine residue
Authors: Li Yashan , Tao Fang , Wang Yanjun , Cui Kexu , Cao Jianhong , Cui Changwei , Nan Lijun , Li Yang , Yang Junmei , Wang Zhenji
Published: September 2020

In order to improve the utilization value of the by-product of mulberry, the remaining residue of mulberry wine was used as raw materials to extract anthocyanins from the residue of mulberry wine by enzymatic method, and the response surface method was used to optimize the extraction process. Firstly, the single factor experiment was carried out by controlling four factors: liquid-solid ratio, extraction time, temperature and pH value. Then, Box-Behnken was used to design a three-factor, three-level experiment. Finally, the response surface method was used to optimize the extraction process. The results showed that the optimal extraction process of pectinase was the liquid-solid ratio of 1:20, the extraction time was 58 min, the pH was 5.90 and the extraction temperature was 45 °C, and the extraction effect was the best. The highest anthocyanin content in the extract was 6.040 mg/g.
Study on optimization of extraction process and resistance to oxidation of Polypeptide from sea cucumber waste liquid
Authors: Wang Shou-Quan , Liu Fa-Xin , Wu Jing , Yin Feng-Jiao , Shi Yong-Chun
Published: September 2020

The protease hydrolysis technology is used to extract the polypeptides from the sea cucumber waste liquid. The enzymatic hydrolysis ability of protein in sea cucumber waste liquid by seven proteases shows that the best protease is compound protease by taking the hydrolysis degree as the index. Furthermore, the effects of enzyme dosage, pH, temperature and time of enzymatic hydrolysis on the hydrolysis degree are studied, and Box-Benhnken central composite test and response surface analysis method are used to optimize the enzymatic hydrolysis conditions.. The results show that the optimal enzymatic hydrolysis conditions are: enzyme dosage: 647 U/g; pH: 6.48; temperature: 52.5°C; enzymatic hydrolysis time: 3.44h; protein hydrolysis degree under the best condition: 25.9%. The polypeptides extracted from the sea cucumber waste liquid have high antioxidant activity, and the DPPH· scavenging activity increases with the polypeptide concentration.
Green tea catechin: does it lower blood cholesterol?
Authors: Chen Yuwei , She Yongbo , Shi Xiaofeng , Zhang Xiaoqing , Wang Ruihua , Men Ke
Published: September 2020

Tea is one of the most popular beverages in the world, especially in Asian societies. Green, oolong and black tea are three main types of tea products. Catechin is the principal polyphenol compound in all tea products including four major subgroup compounds, epigallocatechin gallate (EGCG), epicatehin (EC), epigallocatechin (EGC) and epicatechin gallate (ECG). Green tea contains highest amount of catechin compared to oolong and black tea since fermentation process can significantly reduce the amount of catechin in tea product, which polyphenol oxidase can convert catechins to theaflavins and thearubigins during fermentation process. Therefore, green tea catechin is becoming more and more attractive to nutritionists since it can provide several health benefits to human body. Cholesterol lowering effect is one of the health benefits been studied and proposed over decade. There are well documented evidences that suggested green tea catechin, in particular EGCG has the potential to lower blood cholesterol concentrations. Since the pool bioavailability and absorption ability of catechin, researchers believed that green tea catechin may significantly inhibit lipids absorption in intestine. Mechanisms are including inhibition of pancreatic lipase activity, lipids hydrolysis, and emulsification in intestine and precipitation of micellar cholesterol. In vitro studies, animal studies as well as most of human RCT, consistent results been observed that dietary intake of green tea beverages or extracts could significantly lower circulating cholesterol concentration, in particular lower LDL-C and total cholesterol level. However, in 2010, European Food Safety Authority (EFSA) denied the health claim of cholesterol lowering benefits of dietary intake of green tea or green tea catechins. In this presentation, current scientific evidences and EFSA judgment will be reviewed and discussed.
Risk of multiple primary tumors in breast cancer survivors
Authors: Zheng Zhongbin , Fang Jinwu , Wang Daoyang , Chen Junyan , Qian Xiwen
Published: September 2020

This study aimed to investigate the risk factors associated with subsequent multiple primary tumors in female breast cancer survivors by using analytical method for recurrent data. A total of 389, 344 patients with primary breast cancer were enrolled from the SEER (Surveillance, Epidemiology, and End Results) database. The outcome of this study was the diagnosis of multiple primary tumors. SEER rules were used to define the multiple primary tumors. The comparison between the data of each group was performed by χ2 test. Risk factors of multiple primary tumors were examined by marginal means and rates model. A total of 42020 (10.79%) patients developed multiple primary cancers, of which the majority of patients (38, 767, 92.3%) with second primary tumor. There were 3013 cases and 240 cases of third primary tumor and fourth primary tumor, respectively. Older age, black race, large tumor size (> 2 cm), negative HR, mixed initial tumor histology, poor differentiated or differentiated cancer cells, and lumpectomy were associated with higher risk of subsequent multiple primary tumors. More active clinical monitoring and follow-up should be performed on breast cancer survivors who are at higher risk of multiple primary tumors, thereby improving their prognosis and life quality.