bluuebunny/crossref_metadata_2025 huggingface dataset:
Pedicled Chimeric Perforator Flap Based on Inferior Gluteal Vessel Axis for the Reconstruction of Stage-Four Primary Ischial Pressure Sores—A New Design
Authors: Arikrishnan Dharanipriya , Balakrishnan Thalaivirithan Margabandu , Janardhanam Jaganmohan
Published: July 2021

Background “Subfascial void reconstruction” in ischial pressure sores (IPSs) goes a long way in the amelioration of the common complications like persistent drainage, infection, wound dehiscence, and late recurrence. No locoregional flaps suffice this requirement. So we have designed a chimeric pedicled flap based on the inferior gluteal vessel axis (IGVA) perforators with two tissue components: (1) Pacman-style fasciocutaneous flap on a perforator and (2) gluteus maximus muscle (inferior portion) on another independent perforator.

Aim and Methods After confirming the feasibility of novel design of chimeric pedicled IGVA perforator flap with cadaver study, we embarked on the clinical study with this chimeric flap. In this prospective cohort study, the study and the control existed in the same patient so that the biological factors affecting the wound healing would be the same.

Results Twenty-one patients were included whose mean age was 39 years. Late recurrence occurred in one patient (4.8%) of chimeric flap while the control group (who had undergone conventional reconstruction) had recurrence in 11 patients (52.4%). On assessment with overall institutional score, grade A was observed in 18 patients of the chimeric IGVA flap group (p < 0.045), and in only 3 patients of the control group.

Conclusions This anatomically construed flap, a new addendum in the armamentarium of reconstruction of IPSs, with its potential to congruently fill the ischiogluteal subfascial void may provide a lasting solution for preventing recurrences.
A Novel Procedure of Prepuce Reconstruction Customized to the Religious Needs of Some Individuals
Authors: Gupta Richie , Mehta Sandeep , Gupta Rajat
Published: July 2021

Background Authors describe a novel procedure in a group of patients for prepuce reconstruction, ensuring complete glans penis coverage who had either been circumcised in childhood or had congenitally short prepuce.

Methods Case records of all cases done by the novel method which involved penile degloving and maintenance of neoprepuce, with the help of de-epithelization of glans penis and a few key sutures performed over the period from January 2010 to December 2019 were reviewed retrospectively. A total of 46 patients, 32 had congenitally short prepuce and 14 had previous circumcision.

Results All the patients had complete glans penis coverage. None of the patients had complications like urinary infection, meatal stenosis, collection in neoprepucial sac, balanitis, or posthitis. The mean followup was 23.24 months in 37 patients. Nine lost to followup.

Conclusions The procedure is simple, gives reliable results, and is customized to the needs of the patients. It does not interfere with penile erections.
Is Single-stage Microvascular Reconstruction for Facial Mucormycosis Safe?
Authors: Parvati R. , Subbalaxmi M. V. , Srikanth R. , Sajani P. , Koteswara Rao R. V.
Published: July 2021

Introduction This is a retrospective therapeutic series of eight cases of facial mucormycosis treated over a 15-year period to determine the safety of simultaneous debridement and free-flap reconstruction in facial mucormycosis.

Methods Surgical debridement was done for three cases that presented acutely with systemic manifestations (group 1) and five cases that presented in the subacute phase without systemic manifestations (group 2). The debridement involved total maxillectomy with orbital exenteration in three cases, total maxillectomy with orbital preservation in two, and subtotal maxillectomy in three cases. A total of seven out of eight patients underwent reconstruction with free flap for defect closure; in one patient, only primary closure of mucosa was done.

Results The mean follow-up was 20.5 months. Two patients with acute disease, where reconstruction was done, died in the postop period (on the 27th and 6th day post reconstruction, respectively) due to continuing infection and septic shock. One of the three (group 1), who presented acutely and underwent debridement alone, survived. Four of five patients in group 2 underwent successful free-flap reconstruction. The patient with free-flap loss was salvaged with an extracorporeal radial forearm flap. All except one patient had a soft-tissue free-flap reconstruction. Three of the six living patients reported for secondary surgery. The inability to achieve clear nonnecrotic surgical margins due to extensive disease was the reason for mortality in two patients in group 1. There was no mortality in any of the group 2 patients, even when debridement and free-flap coverage was done simultaneously.

Conclusion Simultaneous debridement and free flap can be successfully implemented in select cases of facial mucormycosis
Making chemical vapor deposition green and sustainable for thin film making
Authors: Avachat Sayali S.
Published: July 2021

Many sustainable technologies of the modern age use thin films produced by not-so-sustainable processes such as chemical vapor deposition.
Swift heavy ion assisted growth of silver nanoparticles embedded in hafnium oxide matrix
Authors: Munthala Dhanunjaya , Mangababu A. , Nageswara Rao S. V. S. , Pojprapai S. , Pathak A. P. , Avasthi D. K.
Published: July 2021

In the present work, we report on the swift heavy ion induced formation of silver (Ag) nanoparticles (NPs) embedded in the hafnium oxide (HfO2) matrix. HfO2 and Ag multilayer thin films have been deposited on both silicon (Si) and quartz substrates to study the irradiation induced structural and optical properties. The evolution of the particle size, shape, and optical properties have been studied by using transmission electron microscopy, grazing incident x-ray diffraction, field emission scanning electron microscope, and UV–Vis absorption spectroscopy. The surface plasmon resonance (SPR) blue shift indicates the effect of the surrounding dielectric on Ag NPs. The present study reveals that the tuning of the wavelength of surface plasmon resonance up to 120 nm with ion fluence is achieved. Thermal spike calculations were employed to estimate the rise of lattice temperature and, subsequently, the diffusivity of metal atoms during temperature spike is estimated.
Photoconductivity effect in SnTe quantum well
Authors: Lopes G. R. F. , de Castro S. , Kawata B. , Rappl P. H. de O. , Abramof E. , Peres M. L.
Published: July 2021

We investigated the photoconductivity effect observed in a p-type SnTe quantum well in the temperature range of 1.9–100 K. The negative photoconductivity effect is observed for temperatures below 4 K, and it is strongly dependent on the light wavelength. A systematic analysis of the photoconductivity indicates that the origin of the negative photoconductivity is not related to the topological surface states but rather to the reduction of carrier mobility when the SnTe quantum well is illuminated with energies above 2 eV.
Achieving two-dimensional optical spectroscopy with temporal and spectral resolution using quantum entangled three photons
Authors: Fujihashi Yuta , Ishizaki Akihito
Published: July 2021

Recent advances in techniques for generating quantum light have stimulated research on novel spectroscopic measurements using quantum entangled photons. One such spectroscopy technique utilizes non-classical correlations among entangled photons to enable measurements with enhanced sensitivity and selectivity. Here, we investigate the spectroscopic measurement utilizing entangled three photons. In this measurement, time-resolved entangled photon spectroscopy with monochromatic pumping [A. Ishizaki, J. Chem. Phys. 153, 051102 (2020)] is integrated with the frequency-dispersed two-photon counting technique, which suppresses undesired accidental photon counts in the detector and thus allows one to separate the weak desired signal. This time-resolved frequency-dispersed two-photon counting signal, which is a function of two frequencies, is shown to provide the same information as that of coherent two-dimensional optical spectra. The spectral distribution of the phase-matching function works as a frequency filter to selectively resolve a specific region of the two-dimensional spectra, whereas the excited-state dynamics under investigation are temporally resolved in the time region longer than the entanglement time. The signal is not subject to Fourier limitations on the joint temporal and spectral resolution, and therefore, it is expected to be useful for investigating complex molecular systems in which multiple electronic states are present within a narrow energy range.
The excellent luminous efficiency and high thermal stability of phosphor-in-glass for high-power laser
Authors: Liang Yueyuan , Zhang Yujie , Yang Haisheng , Zhang Yaqian , Zhang Jiangdan , Wang Liansheng , Liang Xiaojuan , Zhong Jiasong , Xiang Weidong
Published: July 2021

At present, fluorescent glass mainly emits a single yellow light. The characteristic of green and red luminescent materials limits its omni-directional combination with yellow light materials, resulting in high correlated color temperature and low color rendering index of laser lighting devices, which seriously reduces the quality of laser lighting. Therefore, the development of multi-color fluorescent glass to improve the color quality is a huge challenge in laser lighting technology. In this research, the glass matrix that can be compounded with multi-color phosphors is proposed to solve the problems of phosphor decomposition, oxidation, corrosion, and blackening during the vitrification process. Surprisingly, a 50 wt. % Ce:YAG&1.5 wt. % CaAlSiN3-PiG (50 Y&1.5 R-PiG) sample exhibits an excellent internal quantum efficiency of 94% and achieves a high luminous efficiency of 184 lm/W under laser irradiation. Moreover, an ultrahigh luminous efficiency of 331 lm/W is realized by using a laser device with a heat sink. It demonstrated that Y&R-PiG can own excellent application prospects in high-quality lighting fields, such as laser displays and automobile headlights.
Enhancing the electrical properties of high-Curie temperature BNT–PZT piezoceramics by oxides-hydrothermal method
Authors: Li Bo , Zhu Fei , Zheng Deyi , pang Chi , Fei Zihao
Published: July 2021

The difference between the oxides-hydrothermal (O-HT) method and the traditional hydrothermal method is that the former uses insoluble or poorly soluble metal oxides as raw materials. The O-HT method is mainly used to study the luminescence properties of rare-earth nanomaterials. In this work, the O-HT method has been used for the synthesis of high-Curie temperature (high-TC) 0.3Bi(Ni1/2Ti1/2)O3–0.7Pb(Zr0.52Ti0.48)O3 (0.3BNT–0.7PZT) piezoelectric ceramic powders at different hydrothermal synthesis temperatures. After the O-HT synthesis, ceramic powders are calcined and sintered. The effects of different hydrothermal synthesis temperatures on the crystallinity, structure, morphology, and electrical performance of the products are investigated. At a low hydrothermal synthesis temperature of 200 °C for 12 h, well-crystallized ceramic powders are obtained. After sintering, the ceramic samples exhibit a dense microstructure and optimal electrical properties (εr = 6840, d33 = 501 pC/N, TC = 245 °C, Pr = 14.79 μC/cm2, and Ec = 16.86 kV/cm). The experimental results show that applying O-HT technology can dramatically induce grain growth during sintering and improve the piezoelectricity and Curie temperature of samples and that it has the advantages of energy saving, environmental recycling, and suitability for industrial mass production.
Biography of Dr Penelope (Penny) Diane Olsen AM; renowned ornithologist and author of books on Australian ornithological art and ornithological history
Authors: Kennedy Patricia L.
Published: July 2021

Penelope (Penny) Olsen is among the first small, but significant tranche of women field biologists. Penny is a world-renowned ornithologist and author who has spent her entire working career passionately pursuing conservation of Australian wildlife. Her award-wining books make science decipherable to ordinary readers. This paper is a brief biography of Penny, as one of the more successful of those pioneer women conservation biologists to work in the Pacific region. It tracks her early life, her influences and career path, and her struggles to balance work and family while working largely as a self-funded biologist and writer.
KRAS4A induces metastatic lung adenocarcinomas in vivo in the absence of the KRAS4B isoform
Authors: Salmón Marina , Paniagua Guillem , Lechuga Carmen G. , Fernández-García Fernando , Zarzuela Eduardo , Álvarez-Díaz Ruth , Musteanu Monica , Guerra Carmen , Caleiras Eduardo , Muñoz Javier , Ortega Sagrario , Drosten Matthias , Barbacid Mariano
Published: July 2021

Significance

KRAS
encodes two protein isoforms which differ in intracellular trafficking and plasma membrane location. Moreover,
KRAS
mutations in cancer activate both isoforms. Thus, understanding their individual contributions to tumor development may facilitate the design of therapeutic strategies to selectively target each isoform. Here, we describe two strains of mice that fail to express KRAS4B without affecting expression of either wild-type KRAS4A or oncogenic KRAS4A
G12V
. Expression of KRAS4A in the absence of KRAS4B prevents postnatal development. More importantly, expression of the endogenous KRAS4A
G12V
isoform in the absence of KRAS4B is sufficient to induce lung adenocarcinomas that undergo proximal metastasis. Hence, development of therapeutic strategies against KRAS mutant tumors must take into account inhibition of both protein isoforms.
Chromosome 10q26–driven age-related macular degeneration is associated with reduced levels of
HTRA1
in human retinal pigment epithelium
Authors: Williams Brandi L. , Seager Nathan A. , Gardiner Jamie D. , Pappas Chris M. , Cronin Monica C. , Amat di San Filippo Cristina , Anstadt Robert A. , Liu Jin , Toso Marc A. , Nichols Lisa , Parnell Timothy J. , Eve Jacqueline R. , Heinz Sven , Hayes Michael G.B. , Bartel Paul L. , Zouache Moussa A. , Richards Burt T. , Hageman Gregory S.
Published: July 2021

Significance

The chromosome 10q26 locus is the genetic region most strongly associated with elevated risk of age-related macular degeneration (AMD), but the underlying genetic defects initiating disease are unresolved. Using human-derived eye tissues, we demonstrate that mRNA encoding the serine protease,
HTRA1,
is reduced in the retinal pigment epithelium (RPE) of donors with risk-associated variants that disrupt a cis-regulatory element within the 10q26 locus. Consequentially, there is diminished HtrA1 protein within the RPE–Bruch’s membrane interface, the primary site of AMD initiation, with age. This indicates that HtrA1 functions to maintain the integrity of this interface during the aging process and that HtrA1 levels are impaired by chromosome 10q26 risk-associated variants. HtrA1 augmentation may be a viable therapeutic option for AMD.
The archaeology of climate change: The case for cultural diversity
Authors: Burke Ariane , Peros Matthew C. , Wren Colin D. , Pausata Francesco S. R. , Riel-Salvatore Julien , Moine Olivier , de Vernal Anne , Kageyama Masa , Boisard Solène
Published: July 2021

Anthropogenic climate change is currently driving environmental transformation on a scale and at a pace that exceeds historical records. This represents an undeniably serious challenge to existing social, political, and economic systems. Humans have successfully faced similar challenges in the past, however. The archaeological record and Earth archives offer rare opportunities to observe the complex interaction between environmental and human systems under different climate regimes and at different spatial and temporal scales. The archaeology of climate change offers opportunities to identify the factors that promoted human resilience in the past and apply the knowledge gained to the present, contributing a much-needed, long-term perspective to climate research. One of the strengths of the archaeological record is the cultural diversity it encompasses, which offers alternatives to the solutions proposed from within the Western agro-industrial complex, which might not be viable cross-culturally. While contemporary climate discourse focuses on the importance of biodiversity, we highlight the importance of cultural diversity as a source of resilience.
Academic writing and publishing
Authors: Edo-Marzá Nuria
Published: July 2021

Among the challenges facing scholars at university today, producing quantity and quality publications with the highest possible impact is probably perceived by most of them as the greatest. This pressure places scholars before the well-known “publish or perish” dilemma, which each academic may perceive, confront and approach differently. This study aims to disclose and depict the reality behind the hand that writes, in particular, the attitudes, practices and perceptions of Spanish English-linguistics scholars in Spanish public universities regarding academic life and the creation and publication of their research articles. Accordingly, the human, perceptual and psycho-affective dimensions have proved essential in this study. The paper provides an overall view of the situation by summarising the quantitative findings of an extensive Questionnaire, as well as the qualitative outcomes obtained from a subsequent e-interview to scholars occupying different positions at Spanish public university, and provides an evidence-based foundation to foster more “author-friendly” practices.
Becoming a translation teacher
Authors: Wu Di , Zhang Lawrence Jun , Wei Lan
Published: July 2021

Teachers who enter the translation teaching profession are generally in lack of training in how to teach
translation because such training is barely provided by the current professional or academic oriented translation programmes.
Therefore, they have to go through a process of learning to become translation teachers on the job in real teaching settings.
However, little has been documented systematically, either qualitatively or quantitatively, on how translation teachers,
especially beginning teachers, think of their teaching and themselves as teaching professionals. In this longitudinal case study,
we focused on one novice translation teacher and tried to understand how she constructed her translation teacher identity during
the first year of her teaching career. We employed emotions as a lens to investigate the process of her teacher identity
construction through collecting data from interviews and journals. Findings show that this particular participant’s teacher
identity went through a process of constructing, reconstructing and expanding. This process was accompanied by the negotiation
between her identity and the various positive and negative emotions that she experienced in the complex sociocultural context.
Implications for translation teachers, especially novice translation teachers, are discussed.
Operadores de afirmación confirmativos
Authors: Arroyo Hernández Ignacio
Published: July 2021

El artículo examina el comportamiento del operador de afirmación sipi en un corpus compuesto por
mensajes extraídos de la red social Twitter. A través del análisis de sus peculiaridades sintácticas y sus particulares valores
pragmático-discursivos -con los instrumentos de la gramática metaoperacional- se pretende, por un lado, superar su consideración
como mera variante coloquial del adverbio de polaridad sí y, por el otro, posicionarlo dentro de un mecanismo
general de “desdoblamiento” de operadores de afirmación y negación que en lenguas diversas da lugar a elementos de cierre
discursivo y carácter confirmativo.
Reflexiones y propuesta didáctica para desarrollar la competencia metalingüística
Authors: Cano Cambronero M.ª Ángeles
Published: July 2021

Este trabajo tiene tres objetivos. El primero es llevar a cabo una reflexión fundamentada y apoyada en la
bibliografía sobre la necesidad de trabajar la competencia metalingüística de manera explícita en las clases de Lengua Española.
El segundo objetivo consiste en una revisión crítica de una selección de libros de texto de Bachillerato para comprobar si la
presentación de los contenidos gramaticales y el enfoque de las actividades planteadas favorecen o no el desarrollo de dicha
competencia. Concretamente, esta revisión se centra en la enseñanza de las categorías gramaticales –unidades básicas del
análisis–, constatando que la transposición didáctica realizada por los libros de texto no deja de presentar problemas y
obstáculos que en nada ayudan a mejorar la competencia metalingüística de los estudiantes. Por último, el tercer objetivo es
esbozar una serie de ejercicios de gramática tomando como referencia la tipología de Ignacio Bosque y Ángel Gallego (2016), que permitan al alumno ejercitarse en capacidades como la observación, reflexión y
argumentación, y cuya finalidad es contribuir a que estos alcancen un conocimiento consciente y explícito de algunas propiedades
del sistema gramatical.
The immunodominant antibody response to Zika virus NS1 protein is characterized by cross-reactivity to self
Authors: Cavazzoni Cecilia B. , Bozza Vicente B.T. , Lucas Tostes C.V. , Conde Luciana , Maia Bruno , Mesin Luka , Schiepers Ariën , Ersching Jonatan , Neris Romulo L.S. , Conde Jonas N. , Coelho Diego R. , Lima Tulio M. , Alvim Renata G.F. , Castilho Leda R. , de Paula Neto Heitor A. , Mohana-Borges Ronaldo , Assunção-Miranda Iranaia , Nobrega Alberto , Victora Gabriel D. , Vale Andre M.
Published: July 2021

Besides antigen-specific responses to viral antigens, humoral immune response in virus infection can generate polyreactive and autoreactive antibodies. Dengue and Zika virus infections have been linked to antibody-mediated autoimmune disorders, including Guillain-Barré syndrome. A unique feature of flaviviruses is the secretion of nonstructural protein 1 (NS1) by infected cells. NS1 is highly immunogenic, and antibodies targeting NS1 can have both protective and pathogenic roles. In the present study, we investigated the humoral immune response to Zika virus NS1 and found NS1 to be an immunodominant viral antigen associated with the presence of autoreactive antibodies. Through single B cell cultures, we coupled binding assays and BCR sequencing, confirming the immunodominance of NS1. We demonstrate the presence of self-reactive clones in germinal centers after both infection and immunization, some of which present cross-reactivity with NS1. Sequence analysis of anti-NS1 B cell clones showed sequence features associated with pathogenic autoreactive antibodies. Our findings demonstrate NS1 immunodominance at the cellular level as well as a potential role for NS1 in ZIKV-associated autoimmune manifestations.
Justification of the asymptotic coupled mode approximation of out-of-plane gap solitons in Maxwell equations
Authors: Dohnal Tomáš , Romani Giulio
Published: July 2021

In periodic media gap solitons with frequencies inside a spectral gap but close to a spectral band can be formally approximated by a slowly varying envelope ansatz. The ansatz is based on the linear Bloch waves at the edge of the band and on effective coupled mode equations (CMEs) for the envelopes. We provide a rigorous justification of such CME asymptotics in two-dimensional photonic crystals described by the Kerr nonlinear Maxwell system. We use a Lyapunov–Schmidt reduction procedure and a nested fixed point argument in the Bloch variables. The theorem provides an error estimate in

H

2

(

R

2

)

between the exact solution and the envelope approximation. The results justify the formal and numerical CME-approximation in Dohnal and Dörfler, [2013 Multiscale Model. Simul. 11 162–191].
Research on Virtual Simulation Teaching Practice Based on Internet of Things Specialty
Authors: Yan Weibin
Published: July 2021

The Internet of Things project belongs to the transformation major of application-oriented undergraduate. Therefore, the construction of talent training mode and curriculum sys-tem must be oriented by the industry’s talent demand and aim at the cultivation of students’ ability and quality. The development of technology leads to the short updating cycle of real equipment, high equipment price and long school purchasing cycle, which leads to the failure to update real teaching equipment in time. The virtual simulation experimental teaching center of the Internet of Things gives full play to the advantages of the computer experimental center, and builds a realistic virtual experimental teaching course by using the existing experimental equipment and resources of the experimental center according to the principle of combining re-ality with reality. Virtual learning situation analysis and teaching monitoring can promote knowledge, interest and autonomous learning ability to a certain extent. Through this research, front-line teachers can have a deep understanding of virtual simulation teaching, and great changes have taken place in teaching methods and learning methods, providing reference for teachers to carry out information-based practical teaching such as virtual simulation.
Traffic Light Planning Based on Distributed Constraint Optimization
Authors: Shi Meifeng , Wu Jun , Chen Yuan
Published: July 2021

Most of traffic light planning algorithms only consider the congestion of single intersection without the interaction between intersections. Therefore, it is difficult to apply to large-scale transportation network. In order to alleviate traffic congestion, the traffic planning problem is modeled as a distributed constrained optimization problem. The model is based on the waiting cost caused by the difference order of green lights in each direction of the intersection. On the simulation platform, complete algorithm and incomplete algorithm are used to solve the model, and the corresponding green light change order of all intersections is obtained when the waiting cost of vehicles is the lowest in the traffic network. The experimental results show that complete algorithm can find the optimal solution to optimize the vehicle travel time in the scene of no count the traffic flow; incomplete algorithm can find the sub-optimal solution in the traffic network with statistical traffic flow to meet the real-time requirements.
Research on Factors Affecting Power Flow of Direct Current Grid Considering Different Control Modes
Authors: Liang Junyu , Yang Yang , Xingyu Yuan , Jiaquan Yang , Ma Yuze , Tao Siyi , Chen Xin , Huang Feifei
Published: July 2021

Direct Current grid technology based on flexible Direct Current transmission is one of the key means to solve large-scale grid integration and consumption of new energy. The flexible Direct Current transmission technology developed in recent years has superior control performance, strong flexibility, and independent control of active power. And reactive power, can be connected to the weak Alternating Current system. This article derives the power flow equation of the Direct Current transmission network by establishing a mathematical model of the Direct Current transmission network and combining different system-level control strategies in the Direct Current transmission network. The Newton-Raphson method is used to solve the power flow distribution of the Direct Current network when the master-slave control and droop control are adopted. The influence of the two control methods on the power flow distribution of the Direct Current network is compared through a calculation example.
Single Sea Surface Image Dehazing via Multi-scale Concatenated Attention Network
Authors: He Xin , Ji Wanfeng , Wang Zheng , Zhang Yaoqing
Published: July 2021

Haze degrades obscures and content information of sea surface images, which can negatively impact the navigation safety of the intelligent ship in real-time systems. Therefore, it is imperative to develop algorithms that effectively remove haze and make the intelligent ship have higher environmental adaptability. In this paper, we propose a novel Multi-scale Concatenated Attention Network (MCA-Net) to address this problem. Specifically, we use the concatenation operation to connect multi-scale residual blocks (MRB), while introducing the channel attention mechanism for guiding the hazy region feature extracting. Extensive experiments on both synthetic datasets and real sea surface images, which demonstrate our proposed method outperforms are better than other recent dehazing approaches.
Research on Fault Diagnosis Method of Switch Machine Based on KFCM
Authors: kun Song Ya , Tao He , Yong cheng Wu
Published: July 2021

as one of the most important equipment in railway system, the failure of switch machine has a great impact on the safety and benefit of railway transportation. In order to realize the rapid fault diagnosis of switch machine, according to the power curve of switch machine detected by centralized monitoring system of railway signal, a new fault diagnosis method of switch machine based on variational mode decomposition (VMD) and improved fuzzy clustering algorithm is proposed. Firstly, VMD decomposition method is used to preprocess the collected fault data to remove the outliers and noise; then, the kernel fuzzy c-means clustering algorithm is used to classify different fault types into classes, and the classification results are obtained according to the dynamic clustering graph, so as to realize fault diagnosis. Through simulation analysis and experimental data verification, the algorithm can accurately extract fault features and support multiple fault detection at the same time, which effectively improves the accuracy and efficiency of S700K switch machine fault diagnosis.
A New Estimation Method of the PID Controller In Automatic Train Operation Systems
Authors: Cao Fang , Wang Jin feng , Zhao Shuai
Published: July 2021

PID controller plays an important role in Automatic Train Operation systems. Many researches have been done on the PID parameters estimation. However, the traditional models simplified the characteristics of the trains in different speeds and operation modes. It was difficult to overcome the problems with different kinds of algorithms based on the traditional models, especially the accuracy requirement of the stopping distance. In this paper, a new model of the PID controller was proposed based on the practical train operation stages. And the different response time delay was considered besides of the transmission time delay. With this new model, an Improved Fruit Fly Optimization Algorithm was applied. The tracking performance were greatly improved both on running distance and real time. The simulation results showed a better performance than the traditional methods.
Topology Identification of Low-voltage Transformer Area Based on Improved Particle Swarm Algorithm
Authors: Liu Han , Huizhu Xian , Dapeng Duan , Fengming Lv , Jian Sun , Haofei Mao , Qiang Wang
Published: July 2021

With the continuous changes in the user-side power environment, the low-voltage distribution network has become more and more complex, which brings great challenges to the line loss management and topology identification of the transformer area. To solve the shortcomings of traditional particle swarm optimization such as poor ergodicity of population initialization and easy to fall into premature convergence, this paper proposed a K-means clustering analysis algorithm based on GA-CPSO. First, on the basis of the traditional particle swarm algorithm, the chaotic shrinkage factor was introduced and the parameters were optimized. Secondly, the genetic algorithm was combined with the chaotic particle swarm optimization algorithm, the crossover and mutation operations of the genetic algorithm were used to establish an information exchange mechanism between particles, and it was combined with the K-means clustering method. The simulation results on the test benchmark function show that the improved particle swarm optimization algorithm in this paper has significantly improved the search speed and optimization accuracy. Finally, taking an actual transformer area as an example, the method was applied to the transformer area topology recognition analysis. Using the electrical parameters such as voltage, current, and active power obtained from the monitoring terminal as sample data, a simulation analysis was carried out to verify the effectiveness and feasibility of the algorithm. The performance parameters of different algorithms had been compared and analyzed through multiple experiments, and it was proved that this method can effectively improve the accuracy of platform topology recognition, and has strong practicability and generalization.
Petroleum Equipment Industry to Digitalization—Taking Jereh Equipment as An Example
Authors: Ming Zhao , Sihan Liu
Published: July 2021

The Report on the Work of the Government 2021 voiced that China will strive to develop the Internet in the next few years. It is the fourth year that the industrial Internet has been written in the government report. With the combination of national promotion and social development needs, China’s industrial Internet has experienced unprecedented growth in recent years. Based on the case analysis of Jereh’s IOT, combining theory and practice, this paper studied the development trend of the petroleum equipment industry’s digital transformation and the application scenarios of the Industrial Internet of Things. Through realizing intelligent industrial operations by using the data analysis results obtained by business transformation of machine, computer, and personnel, and based on the application of Internet of Things technology, Jereh’s IOT aims to promote the high integration of enterprise informatization, equipment informatization and operations process informatization, so as to achieve digital and lean industry management.
A Design of Intelligent Garbage Bin System
Authors: Zha Yang , Zhou Min , Yang Jiale , Yang Yongjie
Published: July 2021

Garbage classification is more and more significant recent years. In order to promote the implementation of garbage classification and the improvement of intellectualization of urban sanitation work, a new type of intelligent garbage bin system is designed, which includes the bottom control part, android app and IOT cloud platform. Firstly, the system controls the inlets of intelligent garbage bin through interaction with android app, which realizes the function of ordinary garbage can. On top of that, the bottom control part collects all kinds of data of garbage bin by using some external sensors. And then the data will be reported to Android and Android will report that to cloud platform. Cloud platform server then transmits data to monitoring platform, which facilitates data statistics and the removing of garbage. By deploying the system, garbage classification can be promoted and the status of garbage can be effectively monitored, which will significantly improve garbage recovery efficiency and sanitation work level.
Research on the model and algorithm of the flexible operation sequence of the first-level maintenance in the EMU depot
Authors: Zhao Peng , Han Bao Ming
Published: July 2021

Most of the first-level maintenance of Electric Multiple Unit (EMU) adopts the form of fixed sequence operation, known as “washing-maintenance”. Because of the limitation of the line capacity and the inconsistent arrival time of EMUs, a fixed sequence operation may give rise to such problems as longer waiting time, idle lines and waste of maintenance capacity. To solve these problems, a non-linear integer model with a flexible operational sequence of the first-level maintenance of the EMU depot is proposed in this paper. The proposed model aims at minimizing the latest completion time, taking into account the constraints such as the operation sequence of the same EMU, the limitation of simultaneous operation on the same line and the time requirement for EMU to enter and leave the yard. In the proposed model, genetic algorithm is employed. To a further level, in this paper, an application of the proposed model used in Taiyuan EMU depot is presented. With a comparison of two modes, namely, the fixed sequence mode and the fixed sequence plus manual washing mode, the case of the application by Taiyuan EMU depot provides the verification for the feasibility and validity of the model proposed. The result of the application suggests that the flexible operation sequence mode bring about improvement with regard to reducing waiting time, optimizing line utilization, shortening the latest completion time, and enhancing both working efficiency and ability of the first-level maintenance.
Gray Correlation Comprehensive Evaluation of Port Intermodal Transport Development Level Based on Expert Group Decision-Making Weight Optimization
Authors: Nan Yu , Yu Cao , Ziying Guo
Published: July 2021

This paper adopts the weight optimization method based on expert group decisionmaking technology to optimize the weights of the influencing factors affecting the development level of port intermodal transport, and then adopts the gray correlation comprehensive evaluation method to evaluate the development level of port intermodal transport in China from three aspects of supply capacity, service level and development environment. The results prove that the evaluation method is practical and effective, and can provide support for the evaluation of the development level of port intermodal transport in China.
Deadlock-free and path coordination algorithm for Cooperative Multi-task Allocation Problem with Target Priority Constraints
Authors: Zhao Yiyang , Zhou Deyun , Li Xiaoyang , Yang Zhen , Zhang Kai , Zeng Lina
Published: July 2021

In this paper, we propose a cooperative multi-task allocation problem with target priority constraints (CMTAPTPC) for unmanned aerial vehicles (UAVs). For solving the deadlock problem, a deadlock detection and elimination method, including target priority constraints, is introduced in the graph representation framework. Furthermore, an innovative waitable path coordination (WPC) algorithm is proposed to coordinate the flight path that violates time constraints. It adopted some strategies to reduce the complexity of coordination and save the energy of the UAVs. In the simulation part, a representative complex scenario is designed to illustrate the rationality and effectiveness of the CMTAPTPC model and WPC algorithm.
Study on the Setting Conditions of High Density and Small Spacing Compound Interchange in Stereo-Compound Expressway
Authors: Weibin Zhong , Jianbei Liu , Weiwei Liu , Yuanyuan Jin
Published: July 2021

Due to the limited land space and insufficient design space, the high-density and small-spacing compound interchange needs to adopt the collector-distributor lane without meeting the minimum design spacing. This paper combines the configuration of the interweave section, and the setting requirements of the lanes’ number are refined. Then, it is analyzed the characteristics of lane change behavior in the collector-distributor lane, and the length of interweave section in different design speeds and forms is calibrated. On the basis, the service level of the interweaving area under different traffic needs and different interweaving area lengths is obtained. Finally, VISSIM simulation software is used to verify the calculation results. The results show that when the steering traffic is large, it is not recommended to use the single-in-single-out A and single-in-single-out B design, and single-in-double-out B design should be selected according to actual needs.
Research on Agricultural Product Cold Chain Logistics Management Based on Supply Chain Network Structure
Authors: Li Huihui , Li Na
Published: July 2021

he thesis first analyzes the supply chain network structure for the establishment of a new agricultural product supply chain system. This article is to construct a new agricultural product supply chain construction plan, establishes an innovative idea, the business process is urban fresh agricultural product e-commerce, and builds an urban standard distribution model A data-based cold chain integrated distribution model is proposed. This research is mainly to realize the joint operation and management of cold chain logistics and fresh products, and it is necessary to strengthen the coordination of demand-oriented agricultural industry organizations, the coordination of technological innovation of circulation enterprises, and the coordination of the implementation of innovative supply. As a result, the safety mechanism construction of the new agricultural product supply chain, including dynamic monitoring, detection modules and emergency handling systems, has guiding significance for the efficiency of agricultural cold chain logistics circulation.
A land use optimization model of the multimodal passenger transportation hub on TOD mode based on strategy analyses
Authors: Luo Guanliang , Shao Chunfu , Dong Chunjiao , Zhen Li
Published: July 2021

With the acceleration of urbanization, Station City integration and TOD mode have become the mainstream of the multimodal passenger transportation hub construction. Based on the single factor analyses of SWOT, this paper puts forward a cross factor analyses method which is suitable for the multimodal passenger transportation hub on TOD mode. Through three circle spatial structure and taking the plot ratio of various types of land as decision variable, the land use optimization model is established with the goal of maximizing public transport passenger flow, building good living and commercial conditions in the region and land value-added. Finally, this paper takes Beijing Fengtai station as an example. The results of SWOT analyses show that Fengtai station should focus on solving the problem of traffic distribution in the first circle, optimize the land use, form TOD area and promote land value-added in the second circle. The results of land use optimization model show that the current situation of residential land use around Fengtai station can meet the demand of TOD mode. However, the plot ratio of commercial and business land is low and the area is tight, so it is suggested to improve the plot ratio index of this types of land.
Deep Learning with Bidirectional Long Short-Term Memory for traffic flow Prediction
Authors: Xue Song , Shao Chunfu , Wang Shengyou , Zhuang Yan
Published: July 2021

With the development of cities, the total number of trucks has increased year by year. Traffic flow forecasting has become an indispensable part of the cargo transportation industry and directly affects the development of the transportation industry. In the field of traffic flow prediction, Long Short-Term Memory(LSTM) model has advantages in processing time series, but it cannot extract the periodicity in time series. Therefore, in this experiment, a Bidirectional Long Short-Term Memory (BLSTM) model was constructed to predict traffic flow in the road network. It is worth mentioning that this article considers the non-parametric model autoregressive integrated moving average model (ARIMA) and the parametric model recurrent neural network (RNN) to compare and analyze with LSTM. Data from Guangwu Toll Station, Zhengzhou city, China were used to calibrate and evaluate the models. The experimental results show that the performance of RNN based on deep learning such as BLSTM and LSTM model is better than that of ARIMA. In order to better illustrate the advantages of BLSTM model, we comprehensively considered the performance effects of four models under morning peak, evening peak and flat peak. Experiments have proved that BLSTM has good nonlinear fitting ability and anti-noise ability, and the average prediction accuracy reaches 92.873%.
Intelligent Tidal Lane System Based on Vehicle Attribute Recognition Algorithm and Related Laws and Regulations
Authors: Tong Zeng , Xing Congxin , Zeng Ziming , Lai Binger
Published: July 2021

In this paper, an intelligent tidal lane combined with artificial intelligence technology which can adapt to the change of the number of vehicles is designed. The recognition of vehicle position and the direction of vehicle front and rear are recognized by using the vehicle attribute recognition technology based on artificial intelligence. In order to alleviate the morning and evening peak of traffic flow, holiday travel or emergencies caused by two-way lane traffic imbalance, the tidal lane can automatically switch the direction of tidal lane according to the number and direction of vehicles on the two-way road. In addition, we study and analyze the construction of laws and regulations of tidal lane, explore the problems and put forward some suggestions to protect the interests of travelers and maximize social benefits.
Traffic prediction based on GCN-LSTM model
Authors: Wu Zhizhu , Huang Mingxia , Zhao Aiping , lan Zhixun
Published: July 2021

Traffic flow prediction is an important part of intelligent traffic management system. Because there are many irregular data structures in road traffic, in order to improve the accuracy of traffic flow prediction, this paper proposes a combined traffic flow prediction model based on deep learning graph convolution neural network (GCN), long-term memory network (LSTM) and residual network (RESNET). GCN is used to extract the features of topology structure in traffic data, LSTM is used to extract the features of time structure, combined with ResNet to optimize the overall model, reduce the occurrence of gradient disappearance or explosion in network degradation, and finally achieve the prediction of traffic flow. According g to the experimental results, the combined traffic flow prediction model used in this paper is closer to the actual traffic flow occurrence than the traditional convolutional neural network model (CNN), and the accuracy is improved.
Simulation of Traffic Microcirculation Optimization in Residential Area
Authors: Liangliang Chen , Rongrong Li , Aizeng LI
Published: July 2021

Nowadays, there are many congestion problems in urban main roads, so the traffic flow on the main roads is drained to small branches, the density of road network is increased, a more perfect traffic network is formed, and many vehicle diversion paths are formed. Become one of the effective ways to alleviate traffic congestion. Through the optimization of traffic microcirculation network in residential area and the optimization of intersection signal timing scheme by Webster method, and the data analysis and simulation by using Aidaroe software and Vissim software, It can be concluded that the service level and network density of intersections around residential area are improved and the traffic condition is improved obviously. The results show that this optimization study has an important effect on improving the operation of traffic microcirculation in residential area and the quality of life of residents, realizing the efficiency of traffic microcirculation in residential area and affecting the whole urban traffic system.
Application of Oblique Photogrammetry in Intelligent Transportation System
Authors: Zhang Puheng , Xiao Yanping , Chen Guangqiang , E Jiming , Li Ting , He Shengwen
Published: July 2021

Remote sensing is one of the most effective spatial management tools at home and abroad. Oblique photogrammetry technology, as one representative, can help quickly and accurately obtain the 3D model of the surface, roads and buildings, and provide a more intuitive database for transportation. This paper introduces the production procedure of map image and real-time 3D model, and takes the intelligent transportation system as an example to display the operation flow and application of oblique photogrammetry technology. Oblique photography images can be embedded into intelligent transportation system to comprehensively display traffic and environmental information in detail. Combined with real-time traffic monitoring data, the virtual scene can be more realistic, and user experience can be greatly promoted. Thus, traffic scheduling and control can be more effective and efficient.