bluuebunny/crossref_metadata_2025 huggingface dataset:
Palliative treatment for malignant gastrointestinal obstruction with peritoneal carcinomatosis: enteral stenting versus surgery
Authors: Jaruvongvanich Veeravich , Chesta FNU , Baruah Anushka , Oberoi Meher , Adamo Daniel , Singh Prabh G. , Meyer Alyssa , Law Ryan J. , Buttar Navtej
Published: November 2020

Background and study aims Management of malignant gastrointestinal obstruction (MGIO) is more challenging in the presence of peritoneal carcinomatosis (PC). Outcomes data to guide the management of MGIO with PC are lacking. We aimed to compare the clinical outcomes and adverse events between endoscopic and surgical palliation and identify predictors of stent success in patients with MGIO with PC.

Patients and methods Consecutive inpatients with MGIO with PC between 2000 and 2018 who underwent palliative surgery or enteral stenting were included. Clinical success was defined as relief of obstructive symptoms.

Results Fifty-seven patients with enteral stenting and 40 with palliative surgery were compared. The two groups did not differ in rates of technical success, 30-day mortality, or recurrence. Clinical success from a single intervention (63.2 % versus 95 %), luminal patency duration (27 days vs. 145 days), and survival length (148 days vs. 336 days) favored palliative surgery (all P < 0.05) but the patients in the surgery group had a trend toward better Eastern Cooperative Oncology Group (ECOG) status. The rate of adverse events (AEs) (10.5 % vs. 50 %), the severity of AEs, and length of hospital stay (4.5 days vs. 9 days) favored enteral stenting (P < 0.05). The need for more than one stent was associated with a higher likelihood of stent failure.

Conclusions Our study suggests that enteral stenting is safer and associated with a shorter hospital stay than palliative surgery, although unlike other MGIOs, clinical success is lower in MGIO with PC. Identification of the right candidates and potential predictors of clinical success in ECOG-matched large-scale studies is needed to validate these results.
Cervical Pessary Plus Progesterone for Twin Pregnancy with Short Cervix Compared to Unselected and Non-Treated Twin Pregnancy: A Historical Equivalence Cohort Study (EPM Twin Pessary Study)
Authors: França Marcelo Santucci , Hatanaka Alan Roberto , Andrade Junior Valter Lacerda de , Elito Junior Julio , Pares David Baptista Silva , Hamamoto Tatiana Emy Nishimoto Kawanami , Sarmento Stephanno Gomes Pereira , Mattar Rosiane , Moron Antonio Fernandes
Published: October 2020

Objective The present study aims to determine if the use of cervical pessary plus progesterone in short-cervix (≤ 25 mm) dichorionic-diamniotic (DC-DA) twin pregnancies is equivalent to the rate of preterm births (PBs) with no intervention in unselected DC-DA twin pregnancies.

Methods A historical cohort study was performed between 2010 and 2018, including a total of 57 pregnant women with DC-DA twin pregnancies. The women admitted from 2010 to 2012 (n = 32) received no treatment, and were not selected by cervical length (Non-Treated group, NTG), whereas those admitted from 2013 to 2018 (n = 25), were routinely submitted to cervical pessary plus progesterone after the diagnosis of short cervix from the 18th to the 27th weeks of gestation (Pessary-Progesterone group, PPG). The primary outcome analyzed was the rate of PBs before 34 weeks.

Results There were no statistical differences between the NTG and the PPG regarding PB < 34 weeks (18.8% versus 40.0% respectively; p = 0.07) and the mean birthweight of the smallest twin (2,037 ± 425 g versus 2,195 ± 665 g; p = 0.327). The Kaplan-Meyer Survival analysis was performed, and there were no differences between the groups before 31.5 weeks. Logistic regression showed that a previous PB (< 37 weeks) presented an odds ratio (OR) of 15.951 (95% confidence interval [95%CI]: 1.294–196.557; p = 0.031*) for PB < 34 weeks in the PPG.

Conclusion In DC-DA twin pregnancies with a short cervix, (which means a higher risk of PB), the treatment with cervical pessary plus progesterone could be considered equivalent in several aspects related to PB in the NTG, despite the big difference between these groups.
ISR for T1-2 Low Rectal Cancer: A Japanese Approach
Authors: Ito Masaaki
Published: November 2020

The evolution over the past 20 years of anal preservation in rectal cancer surgery has been truly remarkable. Intersphincteric resection (ISR) reported by Schiessel in 1994 in Australia has been shown to enable anal preservation even for cancers quite close to the anus. In Japan, ISR via the detachment of the anal canal between the internal and external sphincters and excision of the internal sphincter first began to be practiced in the latter half of 1990. A multicenter Phase II trial of ISR in Japan suggested that 70% of the cases had relatively good function with less than 10 points of Wexner score but around 10% had severe incontinence that would not be improved for long term. The primary end point of the clinical study, 3-year local recurrence rate, was 13.2% across the overall cohort (T1, 0%; T2, 6.9%; and T3, 21.6%). When ISR is performed on T1/T2 rectal cancers, sufficient circumferential resection margin can be obtained even without preoperative chemoradiotherapy, and local recurrence rate was acceptably low. Based on these evidences, ISR is a currently important, standard treatment option among anal-preserving surgeries for T1/T2 low-lying rectal cancers. In Japan, a feasibility study (LapRC trial) of laparoscopic ISR on Stage 0 and Stage 1 low rectal cancer showed excellent outcomes. A prospective Phase II clinical trial targeting low rectal cancers within 5 cm from the anal verge (ultimate trial) is being performed and awaiting the results in near future.
Worldwide Original Research Production on Maternal Near-Miss: A 10-year Bibliometric Study
Authors: Hernández-Vásquez Akram , Bendezu-Quispe Guido , Comandé Daniel , Gonzales-Carillo Oswaldo
Published: October 2020

Objective To evaluate the global productivity regarding original articles on maternal near-miss (MNM).

Methods We conducted a bibliometric analysis of original articles published from 2008 to November 2019 in the journals indexed in the Scopus database. The averages of the number of articles by author, of the number of authors by article, of the number of citations by article, and the total number of documents with one or more authors were obtained. An analysis of the co-citation of authors and a co-occurrence analysis of the terms included in the titles and abstracts were performed and were presented as network visualization maps.

Results A total of 326 original articles were analyzed. There was an increase in the number of articles (p < 0.001; average annual growth rate = 12.54%). A total of 1,399 authors, an average number of articles per author of 4.29, with an index of authors per document of 0.23, and an index of co-authors per document of 8.16 were identified. A total of 85 countries contributed with original articles on MNM. Among the top ten countries regarding the contribution of articles, five were low and middle-income countries (LMICs). Brazil had the highest volume of production (31.1%), followed by the US (11.5%). Terms related to countries and the measurement of the rates and cases of MNM and the associated factors were found in recent years in the analysis of the co-occurrence of terms.

Conclusion There was an increase in the production of original articles on MNM, with a significant participation of authors and institutions from LMICs, which reveals a growing interest in the use of MNM indicators to improve the quality of maternal health care.
Medial Bone Plating for Management of Type V Central Tarsal Bone Fractures in Six Dogs
Authors: Easter Tim G. , Pink Jonathan J. , Oxley Bill , Bilmont Alexis
Published: October 2020

Objective The aim of this study was to report the surgical technique and outcomes of dogs with type V central tarsal bone (CTB) fractures stabilized with a bone plate applied to the medial aspect of the tarsus and metatarsus.

Study Design This study was a retrospective review of dogs with type V CTB fractures diagnosed with computed tomography and stabilized using a medial bone plate. Follow-up included clinical examination and radiography 8 to 10 weeks postoperatively and/or a long-term owner questionnaire.

Results Six dogs were identified. All fractures occurred during exercise without external trauma and all dogs had additional tarsal fractures. Five dogs returned for clinical follow-up; all had no or mild lameness and evidence of fracture healing on radiography. A suspected surgical site infection occurred in one dog and resolved with medical management. Suspected contact between the plate and medial malleolus in one dog, and loosening of a talar screw in another, were identified, though not treated. Five owners completed the questionnaire, a median of 88 months postoperatively. No further complications were reported, limb function was reportedly acceptable, and all owners were very satisfied with the surgery.

Conclusion Medial bone plate stabilization of highly comminuted CTB fractures resulted in evidence of fracture healing, and a low incidence of complications in six non-racing dogs.
Comparison of Intra- and Postoperative Complications between Bilateral Simultaneous and Staged Tibial Plateau Levelling Osteotomy with Arthroscopy in 176 Cases
Authors: Peress Raz , Mejia Sebastian , Unis Marcos , Sotgiu Giovanni , Dore Simone , Bruecker Kenneth
Published: October 2020

Objective The aim of this study was to compare the resulting short-term complications after simultaneous (SIM) or staged (ST) tibial plateau levelling osteotomy (TPLO) in patients that presented with bilaterally torn cranial cruciate ligaments.

Study Design This was a retrospective study.

Materials and Methods Medical records of dogs diagnosed with bilateral cranial cruciate ligament disease that underwent bilateral SIM or ST TPLO surgery with arthroscopy (2005–2015) were reviewed to evaluate the intra- and postoperative complications. Data were analysed and major and minor complications were compared between the two groups.

Results A total of 176 client-owned dogs (352 stifles) that had TPLO performed bilaterally with SIM or ST procedures were included for analysis. The overall complication rate was 47.5% for the SIM group and 19.5% for the ST group. The incidence of major complications was 10.1 and 3.8% in the SIM and ST groups respectively. Minor complications were 38.4 and 15.6% in the SIM and ST groups respectively. Tibial tuberosity fractures requiring revision were noted in 2% of the SIM group and none of the ST group.

Clinical Significance Although no significant difference was noted in major complication rate or tibial tuberosity fractures in our cohort of patients, a Type II statistical error was found. The complication rate in the SIM group is numerically greater by a factor of 2–3× or more for nearly all categories. Surgeons should consider the risks and benefits of SIM versus ST procedures as well as relevant individual patient and client factors before electing either alternative.
Coronavirus 2019, Thrombocytopenia and HELLP Syndrome: Association or Coincidence?
Authors: Braga Luiz Felipe Bagnatori , Sass Nelson
Published: October 2020

The present report describes the case of a 31-year-old primigravida, with dichorionic twins at 31 weeks. She presented with history of myalgia, jaundice, and abdominal discomfort. No flu-like symptoms as fever or cough. She was not aware of exposure to COVID-19. Normal blood pressure and O2 saturation. Laboratory tests showed platelet count of 218,000 mm3, alanine aminotransferase (ALT) 558 IU and serum creatinine 2.3 mg/dl. Doppler ultrasound in one twin was compatible with brain sparing. Partial hemolysis, elevated liver enzymes, low platelet count (HELLP) syndrome was the hypothesis, and a cesarean section was performed. On day 2, the white-cell count reached 33,730, with decreased consciousness and mild respiratory distress. Tomography revealed both lungs with ground-glass opacities. Swab for COVID-19 polymerase chain reaction (PCR) was positive. Thrombocytopenia in patients with COVID-19 appears to be multifactorial, similar to what occurs in preeclampsia and HELLP syndrome. We assume that the synergism of these pathophysiological mechanisms could accelerate the compromise of maternal conditions and could be a warning to the obstetric practice.
Characteristics of the Superficial Circumflex Iliac Artery Perforator Flap in a Western Population and a Practice Approach for Free Flap Reconstruction
Authors: Messa Charles A. , Carney Martin J. , Tantillo Kristopher , Othman Sammy , Moores Craig , Mirzabeigi Michael N. , Weissler Jason M. , Cook Tessa , Kovach Stephen J.
Published: October 2020

Background There has been increasing interest in the superficial circumflex iliac artery perforator (SCIP) flap as a source of thin, pliable soft tissue combined with a favorable donor site. Despite several clinical series from Asia, barriers to adoption include reluctance to perform submillimeter “supermicrosurgery” and the effect of body habitus on flap feasibility. The purpose of this study is to distinguish vascular anatomic characteristics of the SCIP flap in a North American population.

Methods Computed tomography angiography was examined in 84 flaps in healthy prospective renal donor patients from a radiographic database. Descriptive statistics as well as linear regression comparing variables to body mass index (BMI) were performed.

Results Mean BMI was 27.1 ± 3.5 kg/m2, while the mean patient age was 47.8 ± 11.4 years. The superficial circumflex iliac artery (SCIA) originated from the common femoral artery in 92% cases, with remainder originating from the profunda femoris. The mean vessel diameter was 1.85 mm at source vessel origin. Distance from skin to source vessel averaged 30.7 mm. Suprascarpal subcutaneous thickness averaged 16.5 mm. The mean distance from Scarpa's fascia to vessel origin was 14.1 mm. Direct three-dimensional distance from vessel origin to pubic tubercle was 50.2 mm. A medial and lateral perforator split off of the SCIA was observed in 38 cases (45%). Significant differences were shown when comparing BMI to skin to source vessel distance (p < 0.001), suprascarpal subcutaneous fat thickness (p < 0.001), and fascial distance to vessel origin (p < 0.001). BMI did not significantly affect vessel diameter.

Conclusion Despite a significantly higher BMI than many previously published cohorts, the SCIP remains an excellent source of thin and pliable tissue. When dissected closer to the source vessel, a vessel caliber of nearly 2 mm can be achieved, which may obviate the need for “supermicrosurgery” in this population.
Dissecting heterogeneous cell populations across drug and disease conditions with PopAlign
Authors: Chen Sisi , Rivaud Paul , Park Jong H. , Tsou Tiffany , Charles Emeric , Haliburton John R. , Pichiorri Flavia , Thomson Matt
Published: October 2020

Significance

Many physiological processes are driven by changes across heterogeneous populations of cells. However, we currently lack a conceptual framework for comparing single-cell transcriptional data collected from populations as they respond to perturbations. Here, we develop a framework, called PopAlign, that models a cell population as a probability distribution in gene-expression space. Individual subpopulations are represented as local densities that are statistically aligned across samples. The models present an integrated representation that allows comparisons at multiple scales, from gene-expression programs to cell state to population structure. The models are memory-efficient and can be scaled across hundreds of samples, which we demonstrate using public data and data from human immune cells responding to drugs and disease.
Copy number variation of
TdDof
controls solid-stemmed architecture in wheat
Authors: Nilsen Kirby T. , Walkowiak Sean , Xiang Daoquan , Gao Peng , Quilichini Teagen D. , Willick Ian R. , Byrns Brook , N’Diaye Amidou , Ens Jennifer , Wiebe Krystalee , Ruan Yuefeng , Cuthbert Richard D. , Craze Melanie , Wallington Emma J. , Simmonds James , Uauy Cristobal , Datla Raju , Pozniak Curtis J.
Published: October 2020

Significance

Solid-stemmed wheat cultivars are resistant to the wheat stem sawfly, an important agricultural pest. Here, we identify
TdDof
as the causal gene that controls stem solidness in wheat. We show that copy number gain of
TdDof
correlates with its increased expression and the solid-stem phenotype. Our results suggest
TdDof
could function as a key regulator of genes involved in programmed cell death of the pith parenchyma cells. This research provides the framework to manipulate stem architecture in wheat and other monocots, which can be applied toward downstream agricultural and industrial applications. These include enhancing wheat stem sawfly resistance, modifying carbon partitioning and water-soluble carbohydrate remobilization in plants under drought and temperature stress, and bioenergy production.
The rise of prosociality in fiction preceded democratic revolutions in Early Modern Europe
Authors: Martins Mauricio de Jesus Dias , Baumard Nicolas
Published: October 2020

Significance

We analyzed a large sample of English and French theatre plays and tracked the dynamics of words related to cooperation and dominance before and after early modern revolutions. We show that prior to both the English Civil War and French Revolution, there was a sharp rise in the frequency of words associated with prosociality, trustworthiness, and sympathy vs. words related to authoritarianism, strength and anger. Interestingly, in postrevolutionary reactionary periods, characters became stronger and less trustworthy. Finally, we also show that variations in GDP per capita partially account for these psychological changes. These findings reveal the interplay between economic environment, psychological preferences, and political events and shed lights on the rise and fall of support for democracy.
In situ imaging of two-dimensional surface growth reveals the prevalence and role of defects in zeolite crystallization
Authors: Choudhary Madhuresh K. , Jain Rishabh , Rimer Jeffrey D.
Published: October 2020

Significance

Recent studies have shown that switching from a nonclassical to classical pathway in zeolite crystallization can impact material properties for improved performance in commercial applications, yet few studies have examined zeolite growth by a purely classical mechanism. Here we identify conditions of zeolite crystallization by molecule addition using high-temperature atomic force microscopy to elucidate modes of surface growth with high spatiotemporal resolution. In situ observations reveal that defects, such as silica nanoparticle occlusions, are recurrent in zeolite A crystallization. We posit these defects may be a general outcome of zeolite synthesis that evade detection by conventional techniques, creating amorphous obstructions within pores that, if present in sufficient quantity, can negatively impact zeolite performance in applications ranging from catalysis to separations.
Efficient loading of ultracold sodium atoms in an optical dipole trap from a high power fiber laser*
Authors: Xu Jing , Liu Wen-Liang , Zheng Ning-Xuan , Li Yu-Qing , Wu Ji-Zhou , Li Peng , Fu Yong-Ming , Ma Jie , Xiao Lian-Tuan , Jia Suo-Tang
Published: October 2020

We report on a research of the loading of ultracold sodium atoms in an optical dipole trap, generated by two beams from a high power fiber laser. The effects of optical trap light power on atomic number, temperature and phase space density are experimentally investigated. A simple theory is proposed and it is in good accordance with the experimental results of the loaded atomic numbers. In a general estimation, an optimal value for each beam with a power of 9 W from the fiber laser is achieved. Our results provide a further understanding of the loading process of optical dipole trap and laid the foundation for generation of a sodium Bose–Einstein condensation with an optical dipole trap.
Flexible and degradable resistive switching memory fabricated with sodium alginate*
Authors: Li Zhuang-Zhuang , Yan Zi-Yang , Xu Jia-Qi , Zhang Xiao-Han , Fan Jing-Bo , Lin Ya , Wang Zhong-Qiang
Published: October 2020

Transient electronics has attracted interest as an emerging technology to solve electronic-waste problem, due to its physically vanishing ability in solution. Here in this work, we demonstrate a flexible and degradable transient resistive switching (RS) memory device with simple structure of Cu/sodium alginate (SA)/ITO. The device presents excellent RS characteristics as well as high flexibility, including low operating voltage (< 1.5 V) and multilevel RS behavior. No performance degradation occurs after bending the device 50 times. Moreover, our device can be absolutely dissolved in deionized water. The proposed SA-based transient memory device has great potential for the development of green and security memory devices.
Critical behavior and effect of Sr substitution in double perovskite Ca2CrSbO6
*
Authors: Jiao Yuan-Yuan , Sun Jian-Ping , Cui Qi
Published: October 2020

The double perovskite Ca2CrSbO6 exhibits a ferromagnetic long-range order below T
c = 13 K and a saturation magnetization of 2.35 μ
B at 2 K. In this study, the polycrystalline Ca2CrSbO6 is synthesized under high pressure and high temperature, and the critical behavior of the ferromagnetic material as well as the effects of the magnetic behavior due to the isovalent substitution of Sr2+ for Ca2+ is investigated. Also studied are the ferromagnetic criticality of the double perovskite Ca2CrSbO6 at the ferromagnetic transition temperature T
c ≈ 12.6 K from the isotherms of magnetization M(H) via an iteration process and the Kouvel–Fisher method. The critical exponents associated with the transition are determined as follows: β = 0.322, γ = 1.241, and δ = 4.84. The magnetization data in the vicinity of T
c can be scaled into two universal curves in the plot of M/| ε |
β

versus
H/| ε |
β + γ
, where ε = T/T
c – 1. The obtained β and γ values are consistent with the predicted values from a three-dimensional Ising model. The effects of Sr substitution on the double perovskite Ca2CrSbO6 are taken into consideration. As the Sr content increases, the (Ca2 – x
Sr
x
)CrSbO6 polycrystal shows a continuous switch from ferromagnetic to antiferromagnetic behavior.
Enhanced hyperthermia performance in hard-soft magnetic mixed Zn0.5CoxFe2.5 – x
O4/SiO2 composite magnetic nanoparticles*
Authors: Yu Xiang , Wang Li-Chen , Li Zheng-Rui , Mi Yan , Wu Di-An , He Shu-Li
Published: October 2020

High quality Zn0.5Co
x
Fe2.5 – x
O4 (x = 0, 0.05, 0.1, 0.15) serial magnetic nanoparticles with single cubic structures were prepared by the modified thermal decomposition method, and Zn0.5Co
x
Fe2.5 – x
O4/SiO2 composite magnetic nanoparticles were prepared by surface modification of SiO2. The magnetic anisotropy of the sample increases with the increase of the doping amount of Co2+. When the doping amount is 0.1, the sample shows the transition from superparamagnetism to ferrimagnetism at room temperature. In the Zn0.5Co
x
Fe2.5 – x
O4/SiO2 serial samples, the maximum value of specific loss power (SLP) with 1974 W/gmetal can also be found at doping amount of x = 0.1. The composite nanoparticles are expected to be an excellent candidate for clinical magnetic hyperthermia.
Lagrangian analysis of the formation and mass transport of compressible vortex rings generated by a shock tube*
Authors: Lin Haiyan , Xiang Yang , Liu Hong , Zhang Bin
Published: October 2020

In order to understand the mass transport and the dynamic genesis associated with a compressible vortex formation, a dynamic analysis of compressible vortex rings (CVRs) generated by shock tubes by using the framework of Lagrangian coherent structures (LCSs) and finite-time Lyapunov exponents field (FTLE) is performed. Numerical calculation is performed to simulate the evolution of CVRs generated by shock tubes with 70 mm, 100 mm, and 165 mm of the driver section at the circumstances of pressure ratio = 3. The formation of CVRs is studied according to FTLE fields. The mass transport during the formation is obviously seen by the material manifold reveled by FTLE fields. A non-universal formation number for the three CVRs is obtained. Then the elliptic LCSs is implemented on three CVRs. Fluid particles separated by elliptic LCSs and ridges of FTLE are traced back to t = 0 to identify the fluid that eventually forms the CVRs. The elliptic LCSs encompass around 60% fluid material of the advected bulk but contain the majority of the circulation of the ring. The other parts of the ring carrying almost zero circulation advect along with the ring. Combining the ridges of FTLE and the elliptic LCS, the whole CVR can be divided into three distinct dynamic parts: vortex part, entrainment part, and advected part. In addition, a criterion based on the vortex part formation is suggested to identify the formation number of CVRs.
Research and Evaluation of Security Audit Technology in the Era of Network Security Level Protection 2.0
Authors: Li Zhijie , Suo Hui
Published: October 2020

With the release of network security level protection 2.0 standard, the work of equal protection evaluation is facing unprecedented challenges. How to deal with it? This paper takes the security audit technology as an example, starting from the concept of network security audit technology, analyzes the security audit object, combines the security audit evaluation index to evaluate the network security equipment, operating system and database system, and puts forward the prospect of security audit evaluation according to the problems in the evaluation practice.
A Fast Deep-Learning Signal Detection Architecture for the Short-wave Band
Authors: Wang Keren , Li Weihao
Published: October 2020

Wideband signal detection plays an important role in wireless communication systems. In recent years, deep learning (DL) has been introduced, and many trial efforts have been posed. In this paper, a fast deep-learning signal detection architecture is proposed for the short-wave band, which consists of the GPU-based Down Digital Converter (DDC), the DL-based signal detector, and the signal data viewer & recorder. Wideband signal data are taken directly as the input, and detected signals are automatically recorded as the output of the architecture. Experimental results suggest that our architecture is capable of detecting signals in the whole short-wave band in quasi-real-time, and specifically, with single GPU device.
Comparative Analysis of New Forest Resources Survey Methods
Authors: Zou Fu , Li Aidi , Wang Qiang
Published: October 2020

Traditional fine forest survey methods mainly rely on ground surveys and use remote sensing image to estimate, which has problems such as low efficiency, poor data objectivity, difficult to unifiy standard control, and low degree of automation. Based on the DEM, DSM, lidar point cloud, and tilt photography model from multiple sources and resolutions, by superimposing high-resolution remote sensing image and selecting eight representative evaluation indicators such as distribution interpretation, species legibility, vegetation penetration ability and parameter extractability, this paper analyzed the advantages and disadvantages of forest resource surveys under these methods and proposed a fast and high-precision method for fine forest resources sruvey. The results showed that the forest resource survey based on lidar technology can meet the needs of fine forest resources survey and can be used for fine forest resources survey.
Improvement Measurement-Device-Independent Quantum Key Distribution with Imperfect Coherent Pulses
Authors: Kang Guodong , Wang Xianke , Wen Jiaxin , Zeng Congying , Zhou Guangyu
Published: October 2020

The security of the original measurement-device-independent quantum key distribution (MDI-QKD), immune to all possible side channel detector attacks, is relied on the assumption that legitimate users, called Alice and Bob, can control their sources exactly. However, this might always not be satisfied in today’s state of the art. Later, one of us has proposed a MDI-QKD with uncharacterized coherent pulses, and shows that MDI-QKD can cover long distances securely with imperfect current sources. In this paper, relied on the basic imperfect sources assumption of the former work, we propose an improved one by applying a technique of imperfect phase region matching. We focus on deriving the bound of secrete key rate for this improved protocol, and simulation results show that the improved MDI-QKD can achieve much more better performances than the former one. It pushes the MDI-QKD a step forward to be more practical in more device independent scenario.
Research on FDI Attacks in Edge Computing Environment
Authors: Li Qing , Xu Aidong , Lin Haojie , Hou Wenjing , Jiang Yixin , Zhang Yunan , Mao Zhongqi , Wen Hong
Published: October 2020

The False Data Injection (FDI) attack in the smart grid can bypass the bad data detection mechanism and make the control center make an incorrect estimate of the system status. The smart grid under the edge computing architecture is more likely to be maliciously attacked by the terminal because it is close to the terminal. For this reason, this paper proposes a method combining PCA and ReliefF algorithm to achieve the purpose of dimensionality reduction. It can solve the overfitting problem caused by the high dimensionality of traditional machine learning attack signal detection, and it is suitable for terminals with low computing power.
Research and Application of Edge Computing Based on Deep Learning
Authors: Cui Wei
Published: October 2020

With the exponential growth of IoT terminals, smartphones, and wearable devices, traditional centralized cloud computing models have been unable to efficiently process data generated by edge devices. In order to meet the challenges, edge computing has been proposed. The location close to the terminal device meets the high computing volume, low latency, privacy requirements of deep learning on edge devices, bandwidth advantages, efficiency and scalability. We first introduced the background and motivation for running AI at the edge of the network, reviewed the basic concepts of deep learning, and then we provided the overall architecture of edge computing based on deep learning. We discussed three computing and inference models on terminal devices, edge servers and cross-edge devices, and describes the method to improve and optimize the edge deep learning model. Finally, we discuss the application scenarios and future opportunities of edge deep learning.
K-means Clustering Method Based on Kernel Density Estimation to Analysis Residents Travel Features: A Case Study of Chengdu
Authors: Li Siying , Liu Zhili , Zhao Hui
Published: October 2020

In order to study the spatiotemporal features of urban centre residents during peak hours during workdays and rest days, based on taxi on and off location information and urban points of interest data, a Geographic Information System (GIS) Kernel density estimation (KED) is used. Combined with the K-means clustering algorithm, the peak hours of residents ‘travel and hotspot areas for boarding and alighting are identified, and the strength of the interaction between residents in each area is analysis using the structured Georgy Voronoi, and the spatiotemporal features of residents’ travel are summarized.
Computer and Translation
Authors: Yang Yanjun , Wang Yixuan
Published: October 2020

In the big data era, due to the fast pace of society and development of information technology, translation and computer technology have become increasingly related with each other. Computer translation, with its efficiency and accuracy, has aroused more and more concern from all over the world. This paper starts from the history of computer translation. Then it illustrates five forms of computer translation, including translation automation software, computer aided translation, localization tools, translation tools in internet, and other computer tools; Afterwards the paper discusses the benefits and drawbacks of computer translation compared with human translation. Although there are some shortcomings, artificial intelligence is a trend, computer translation technology will be greatly improved and bring about more convenience for human beings.
Differential Games and Methods of Digital Image Processing
Authors: Mamatov Mashrabjon , Alimov Xakimjon
Published: October 2020

In this paper, we study the method of digital image processing as a game task with distributed parameters. The possibilities of formulating digital processing as a differential game of the Dirichlet problem for the Poisson equation are indicated. Replacing the differential game with a discrete game with boundary conditions, sufficient conditions are obtained for the possibility of completing the pursuit. In solving the pursuit problem, Chebyshev polynomials of the second kind are used.
Thinking about the Practical Teaching Reform of Equipment
Authors: Deng Bin , Hu Yamin , Wang Jingjing , Hu Yahui
Published: October 2020

This paper focuses on the demand of equipment application guarantee for talent cultivation under the new situation, researches on the practical teaching reform of equipment, analyzes the necessity of practical teaching reform of equipment under the new situation, probes into the current situation of equipment teaching practice, and based on this, studies in-depth the thinking and direction of practical teaching reform of equipment from the perspective of teaching mode, teaching platform construction and teaching team construction and other three aspects put forward specific reform measures to provide reference for the comprehensive plan of practical teaching reform of equipment, so as to promote the quality of teaching and personnel training.
Unknown Protocol Identification Based on Improved K-Means++ Algorithm
Authors: Feng Tian , Man Dapeng , Fu Hao
Published: October 2020

In recent years, the gradual popularization of mobile terminals and the vigorous development of the network have spawned the birth of a new Internet structure and promoted the growth of network traffic. Behind such a large network, effective supervision of network traffic is the cornerstone of network security protection. At present, many studies on the direction of network supervision focus on the analysis of unknown network protocol types. The protocol identification method combined with machine learning is a hot topic in this kind of research. This method extracts data stream features and builds data sets, using machine learning algorithms. The model analyzes unknown network traffic and can obtain better recognition results than traditional network protocol analysis methods. Aiming at the problem of unknown traffic identification, this paper proposes a reasonable unknown traffic identification algorithm. The feature normalization preprocessing, feature selection, LOF outlier analysis, etc. are introduced. The clustering process uses the K-Means++ algorithm, and the maximum local reachable density point in the outlier analysis is used to realize the initial cluster center point. Accurate positioning.
Power Loss Reduction Practices in the Supply Area of a Typical Substation in Huangshan City in China
Authors: Hu Liwen , Yao Dequan , Hua Yin
Published: October 2020

The negative impact of distribution power losses is often passed down as costs to customers. Besides, the percentage of distribution losses is one of the important indicators to evaluate the performance of a distribution company. Therefore, minimizing distribution power losses shall be one of the key objectives of a distribution company. In this paper, a typical case of power loss reduction and the project’s effect in the supply area of a typical substation in Huangshan city in china are given to demonstrate the common practices that China uses to reduce technical distribution power loss.
Dynamics Simulation Method of 3D Virtual Motion for Vehicle Based on GTENG Engine
Authors: Chu Weijun , He Xiaohui , Liu Qing
Published: October 2020

The self-developed GTENG engine technology is a complete set of real-time 3D engine based on Microsoft Windows, and the underlying interface is for above directx9.0 version. GTENG engine adopts real-time computer graphics algorithm, including computer graphics and highly optimized physical simulation algorithm set. This paper introduced two ways of using CVehicle of GTENG Engine to simulate vehicle motion, and illustrated the method of defining the amount and number of wheels and setting the scene node pointer associated with the wheel in initialization of vehicle. Further, we discussed setting their coordinates and determining the relation of nodes combined with 3D modeling, and gave the methods of setting other parameters including mass, traction, steering torque, wheel radius, shaft distance, drag, frictional factor and wheel number. At last, we analysed relevant dynamics simulation functions and their calculation in CVehicle to control the motion state of vehicle. The application shows that the simulation method of using CVehicle in GTENG Engine can be spread to write the other instances of dynamics simulation.
Detection of Ethnic Minority’s Symbols Based on Deep Learning
Authors: Feng Ye , Shi Zhuo , Kong Qian , Li Mingrui , Yang Ming , Zhang Mengxue , Zeng Shuzhen
Published: October 2020

Symbols are the embodiments of the ideology of ethnic minorities, the detection of ethnic minority’s symbols is an important part of the protection and inheritance of ethnic cultural heritage. Nevertheless, the ethnic symbols are miscellaneous and referred to some special combination style, it is time-consuming and inaccurate to detect them only by traditional detection methods based on machine learning. Therefore, in this paper, we propose a deep learning method based on Faster R-CNN to detect various kinds of Zhuang minority’s symbols from the Z-S dataset. Firstly, the original images of Zhuang minority’s symbols are prepocessed. Secondly, the processed images are sent to the ResNet-50 with FPN to extract feature maps. Moreover, RPN processes those feature maps to generate bounding boxes. Finally, ROI pooling layer in R-CNN converts those bounding boxes into fixed-length feature vectors, which fed into two sibling fully-connected layers for further detection tasks. Through the ablation experiments based on a certain amount of ethnic symbol images, the results indicate that the proposed method has higher detection quality (mAP), and can effectively reduce the training cost.
Research on Optimization of Static Path Planning Algorithm for UAV Autonomous Flight
Authors: Xu Kaiming , Cong Zhouyu , Wu Zhigang , Yang Zhe
Published: October 2020

The combination of artificial potential field method (APF) and A* path planning algorithm can optimize the path planning problem in the UAV static map. The artificial potential field method also has shortcomings, especially in avoiding obstacles. The simple A* algorithm takes too long to retrieve. The fusion of the two can improve the effect of obstacle avoidance. This article attempts to improve this fusion method. In this article, we introduce the application of artificial potential field method, A* algorithm and improved A* algorithm in static path planning. Finally, we will compare the artificial potential field method combining A* algorithm and improved A* algorithm.
Research on Quality Control Modeling of Tobacco Production Supply Chain Based on House of Quality
Authors: Liu Yang , Ji Daoyuan , Dong Jinxin , Liu Di
Published: October 2020

Based on the tobacco management information system, this project establishes a double-loop quality feedback control model for a single logistics link and the whole chain in the tobacco processing and production supply chain. The quality control standard is introduced into the house of Quality, and the hierarchical house of quality control model of supply chain for tobacco.
The Hamiltonian Properties of Rectangular Meshes with at Most Two Faulty Nodes
Authors: Xie Yingtai
Published: October 2020

In this paper we consider the Hamilton cycle problem in the rectangular meshes with at most two faulty nodes. We prove that this problem is solvable in polynomial time with a corresponding algorithm. We provided an entirely new approach to this problem being different from the method early used on this problem.
Deformation and Stress Analysis of Bucket Foundation under Multiple Loads
Authors: Zhang Xu , Yang Wei , Lin Yifeng
Published: October 2020

Single-pile composite tubular foundation is a new type of offshore wind turbine foundation. Offshore wind turbine single-pile composite tubular foundation (PBCF) can have the bearing advantages of pile foundation and tubular foundation at the same time. The transfer of load between pile foundation and foundation tube is the key of pile-tube cooperative bearing. The wide and shallow tubular foundation is a new type of offshore fan foundation developed for the load characteristics of China offshore. The classical formula for calculating the bearing capacity of foundation cannot accurately calculate the ultimate bearing capacity of wide-shallow cylindrical foundation under composite loading mode. By establishing a large-scale three-dimensional simulation model of single-pile composite tubular foundation-foundation, calculating its stress and deformation under the combined action of various loads, and evaluating the stability of single-pile composite tubular foundation, we think it is an important means of tubular foundation design. The research results can provide references for the selection and optimal design of infrastructure.
Memory Performance Optimization of DTN Relay Node Based on M/G/1
Authors: Ji Changpeng , Han Xingmei , Dai Wei , Ji Wenxin , Wang Zirui
Published: October 2020

Delay/Disruption Tolerant Networking is an internetworking architecture for reliable data delivery. It combined with the actual application scenarios of M/G/1 queuing model and based on the data delivery mechanism of store-and-forward and retransmission under Bundle Protocol/Licklider Transmission Protocol in DTN. The data delivery time can be divided into two parts by the last round of LTP data segments transmission process, the custody queue length model of BP data unit (i.e. bundle) in relay nodes memory space is determined by calculating the retransmission time of LTP data segments spent in different delivery parts, which can directly measure the consumption and use of relay nodes memory resources. In order to obtain a more perfect memory resources allocation strategy, the optimized length of LTP data segment and the optimized number of bundles aggregated by per LTP block are proposed as the joint optimization scheme. The simulation results show that in deep-space channel environment where bundle arrival rate and bit error rate constantly change, the joint optimization scheme proposed in this paper can always maintain the shortest average queue length, which means, occupy less memory space. Compared with the queue without optimization, the queue length of the joint optimization scheme is reduced by 76.65%, which demonstrates the superior performance of this scheme, and realizes the reasonable optimization and utilization of the memory resources of the relay nodes in DTN.
A Research on the Priority of Power Distribution Based on Graph Computing
Authors: Mao Zhongqi , Xu Aidong , Hou Wenjing , Jiang Yixin , Lei Wenxin , Zhang Yunan , Li Qing , Wen Hong
Published: October 2020

With the construction and gradual development of microgrids, multiple interest themes have emerged in traditional distribution networks, such as distributed power sources, flexible loads, etc. Microgrids can be integrated into large power grids or operated as independent power grids. Effectively improve the power grid’s ability to resist disasters and ensure the safety of power supply within the grid. It can also effectively achieve high-quality matching of power supply and consumption and optimize the distribution of power resources within the network. The ability to fully and effectively solve the problems of grid connection of distributed energy sources such as wind and solar is of great significance to the reasonable planning of the power system and the safe operation of the power system. This paper proposes a planning evaluation system that takes into account the microgrid connection, constructs a graph calculation-based distribution priority division and a node model under the microgrid central control system, and uses the Mean-shift clustering algorithm to obtain node attributes. Use the optimal sequence graph method to calculate the index weight of the distribution network planning scheme, and finally calculate the distribution plan between nodes through the graph path finding algorithm.
Position Prediction Method Based on Improved Decision Tree
Authors: Wang Wenzhe , Yue Xi , Tang Mengxuan
Published: October 2020

C4.5 decision tree algorithm is one of the commonly used classification prediction algorithms. It is a tree structure. Its advantage is that the process of obtaining results is easy to understand and the calculation is small, etc. Its disadvantage is that it is easy to cause over-fit, and will be very complex when there are too many categories. In the process of analyzing skill proficiency and positions, different job positions are available for different levels of skill proficiency. When there are more job categories, the prediction effect of decision tree classification is poor and still needs to be improved. In this paper, an improved decision Tree algorithm WF_D-tree is proposed, which adds skill proficiency weight to each data in the data table. Through the calculation method of skill proficiency weight, the relative redundant data of table data are removed. Through the longitudinal calculation method of skill proficiency weight, dimension reduction of data. Experimental results show that the improved decision tree greatly reduces the running time of the decision tree algorithm in the job prediction, and also improves the accuracy of the prediction results. In terms of time, the WF_D-tree is also significantly higher than the decision tree before the improvement. In terms of accuracy, the decision tree was improved by about 11 percentage points.
Evolution and Hot Spot Analysis of University Public Opinion Analysis from the Perspective of Knowledge Map
Authors: Zhao Lili
Published: October 2020

In this paper, CiteSpace software is used to make statistics and Analysis on the literature related to public opinion research in Colleges and universities in China in recent years collected by CNKI, and visually display and analyze the literature data through the way of knowledge map, and also reveal the research status, research hotspots and trends in this field in a visual way. In recent years, the research in the field of public opinion in Colleges and universities has achieved sustained development, but there is a lack of high impact authors of core categories, and researchers have not formed a certain degree of concern; with the development of the network, the current research direction in this field mainly focuses on campus public opinion, network public opinion, emergency public opinion, new media public opinion, but the research force has not formed a scale We can rely on the new media and network technology to further expand the research of public opinion in Colleges and universities from the perspective of crisis management and ideological and political construction.
A Class of Optimal Cyclic Symbol-pair Codes from Combinatorial Designs
Authors: Yan Jie , Xu Xiaofeng , Wang Chengmin
Published: October 2020

Motivated by the application of high-density data storage technologies, symbol-pair codes were defined by Cassuto and Blaum recently. In this coding model, every two consecutive symbols are read together to address channels with high write resolution but low read resolution, so that individual symbols cannot be read off due to physical limitations. Since such kind of code was introduced, a lot of work has been carried out by many researchers, including upper bounds, constructions, decoding et.al. In this work, we continue the research on the construction of symbol-pair codes. We will present one special construction for cyclic symbol-pair codes from the perspective of combinatorial designs.