bluuebunny/crossref_metadata_2025 huggingface dataset:
The continuous wavelet inversion formula and regularity of weak solutions to partial differential equations
Authors: Castro Alfonso , Gokhman Dmitry , Navarro Jaime
Published: October 2020

We establish regularity properties of weak solutions to linear partial differential equations in terms of the continuous wavelet transform of the data. Our arguments rely on the existence of radial functions that remain radial under the operator defined by the highest order terms of the linear equation and a variant of the inversion formula introduced by Grossmann, Morlet and Paul.
Wave packet transform and fractional wave packet transform of rapidly decreasing functions
Authors: Thanga Rejini M. , Subash Moorthy R.
Published: October 2020

The continuity of wave packet transform and inverse wave packet transform is proved in the suitable Schwartz space and extended to its corresponding dual space of tempered distribution. The consistency, linearity and continuity of the transform with respect to [Formula: see text] topology are proved in this distribution space. Further, the continuity of the fractional wave packet transform and its inverse in the above space is proved. The examples of generalized fractional wave packet transform of certain distributions are given.
Iron Oxide Nanoparticles for Tissue Repair and Regeneration
Authors: Nanda Tanya , Alobaid Mohammad , Rege Kaushal
Published: October 2020

Iron oxides are naturally occurring compounds, and several methods have been developed for generating iron oxide nanoparticles (IONPs) with a focus on precisely modulating their size and physicochemical properties. Facile synthesis approaches, narrow size distribution, ease of surface modification, tunable magnetic properties, and size-dependent elimination from blood circulation, make IONPs attractive for use in different biomedical applications. This review describes the use of IONPs for application in tissue repair and regeneration with a focus on neural and musculoskeletal tissues.
A Deterministic-Path Routing Algorithm for Tolerating Many Faults on Very-Large-Scale Network-on-Chip
Authors: Zhang Ying , Hong Xinpeng , Chen Zhongsheng , Peng Zebo , Jiang Jianhui
Published: October 2020

Very-large-scale network-on-chip (VLS-NoC) has become a promising fabric for supercomputers, but this fabric may encounter the many-fault problem. This article proposes a deterministic routing algorithm to tolerate the effects of many faults in VLS-NoCs. This approach generates routing tables offline using a breadth-first traversal algorithm and stores a routing table locally in each switch for online packet transmission. The approach applies the Tarjan algorithm to degrade the faulty NoC and maximizes the number of available nodes in the reconfigured NoC. In 2D NoCs, the approach updates routing tables of some nodes using the deprecated channel/node rules and avoids deadlocks in the NoC. In 3D NoCs, the approach uses a forbidden-turn selection algorithm and detour rules to prevent faceted rings and ensures the NoC is deadlock-free. Experimental results demonstrate that the proposed approach provides fault-free communications of 2D and 3D NoCs after injecting 40 faulty links. Meanwhile, it maximizes the number of available nodes in the reconfigured NoC. The approach also outperforms existing algorithms in terms of average latency, throughput, and energy consumption.
Efficient Parasitic-aware

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based Hybrid Sizing Methodology for Analog and RF Integrated Circuits
Authors: Liao Tuotian , Zhang Lihong
Published: October 2020

As the primary second-order effect, parasitic issues have to be seriously addressed when synthesizing high-performance analog and RF integrated circuits (ICs). In this article, a two-phase hybrid sizing methodology for analog and RF ICs is proposed to take into account parasitic effect in the early design stage. It involves symbolic modeling and mixed-integer nonlinear programming (MINLP) in the first phase, and a many-objective evolutionary algorithm (many-OEA)-based sizing refiner in the second phase. With the aid of our proposed current density factor and piecewise curve fitting technique, the

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concept, which is typically utilized to solve the analog circuit design problem, can provide theoretical support to our accurate symbolic modeling. Thus, the intrinsic and interconnect parasitics can be accurately considered in our work with moderate modeling effort. A variety of electrical, geometric, and parasitic (including parasitic mismatch) constraints can be conveniently integrated into our MINLP problem formulation. Moreover, numerical simulations are embedded into the many-OEA-based sizing phase, which is able to tackle floorplan co-optimization. With such dynamic floorplan variation, the parasitics accuracy can be sustained along the evolution. The experimental results demonstrate high efficacy of our proposed parasitic-aware hybrid sizing methodology.
Maternal high-fat diet activates hepatic interleukin-4 in rat male offspring accompanied by increased eosinophil infiltration
Authors: Wang Huan , Xu Guanying Bianca , Chen Hong , Pan Yuan-Xiang
Published: October 2020

The present study identifies that maternal high-fat-diet-induced IL-4 upregulation is associated with DNA hypomethylation at the +6 kb region of the 3’ downstream region of the gene. Furthermore, our results confirm that the induced Il4 expression in the liver of male offspring corresponds to the induced immune cell, especially eosinophil, infiltration.
Variational Approach for the Variable-Order Fractional Magnetic Schrödinger Equation with Variable Growth and Steep Potential in

ℝ

N
∗
Authors: Zhou Jianwen , Zhou Bianxiang , Tian Liping , Wang Yanning
Published: October 2020

In this paper, we show the existence of solutions for an indefinite fractional Schrödinger equation driven by the variable-order fractional magnetic Laplace operator involving variable exponents and steep potential. By using the decomposition of the Nehari manifold and variational method, we obtain the existence results of nontrivial solutions to the equation under suitable conditions.
Study on Optimal Dispatching Strategy of Regional Energy Microgrid
Authors: Wu K. H. , Wu J. , Feng L. , Yang B. , Liang R. , Yang S. Q. , Zhao R.
Published: October 2020

Considering the fluctuation of microgrid output and customer’s demand, an optimal dispatching strategy for the combined cooling, heating, and power supply microgrid is proposed. The fluctuation of energy sources, such as a photovoltaic system and multiple loads, may affect the safety, economics, and stability in combined cooling, heating, and power microgrid operation. Therefore, the extreme learning machine optimized by particle swarm algorithm is used to improve the prediction accuracy of photovoltaic power generation, wind power generation, and load power. The regularization coefficient C and the kernel parameter λ of kernel extreme learning machine are regarded as the optimization targets of the particle swarm algorithm so that the prediction accuracy can be improved. Forecasted value of cooling, heating, and electricity microgrid system and new energy power generation as well as real-time electricity price, fuel unit price, etc. are considered in the operating cost. In order to minimize the operating cost and improve the energy utilization, an improved shuffled frog leaping algorithm is used to solve the cost minimization problem to give the equipment output dispatch strategy. Comparative simulation results can be found that under the same conditions, compared to the kernel extreme learning machine and the kernel extreme learning machine optimized by the genetic algorithm, the kernel extreme learning machine optimized by the particle swarm has faster convergence speed and higher prediction accuracy. Comparative simulations of microgrid dispatching on typical days in summer and winter are carried out. Compared with the cost of distribution, the cooling, heating, and power microgrid based on the improved shuffled frog leaping algorithm has obvious economic benefits and higher energy utilization property.
Surface Characterization and Corrosion Resistance of Biomedical AZ31 Mg Alloy Treated by Microarc Fluorination
Authors: Sun Lin , Zhao Bing Cheng , Wang Teng , Cui Jia Yi , Zhang ShuXin , Li Feng , Zhang Qianqian , Cai HongXin , Jiang Heng Bo , Lee Eui-Seok
Published: October 2020

The application prospect of biodegradable materials is being studied extensively. However, the high corrosion rate and its alloys in body fluids have been major limitations of the application of pure Mg (magnesium). To improve corrosion resistance of biodegradable AZ31 Mg alloy, we adopted microarc fluorination within a voltage range of 100-300 V in 46% hydrofluoric acid. To obtain morphologies, chemical compositions, and structural characteristics, field-emission scanning electron microscopy (FE-SEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD) were performed, respectively. Results showed that the coating was mainly composed of MgF2. Electrochemical corrosion and immersion tests proved that the corrosion resistance of MAF-treated AZ31 Mg alloy was significantly improved compared with untreated AZ31 Mg alloy in HBSS (Hank’s Balanced Salt Solution). Current densities of AZ31, MAF100, MAF150, MAF200, MAF250, and MAF300 were 342.4, 0.295, 0.228, 0.177, 0.199, and 0.212 μA/cm2, respectively. The roughness test indicated that samples under MAF treatment of 200 V, 250 V, and 300 V had large surface roughness. Meanwhile, the contact angle measurement and surface free energy test suggested that those samples had smaller contact angle and higher SFE than Ti. Thus, MAF-treated AZ31 Mg alloy might have promising application in various fields.
Pattern Recognition of Spiking Neural Networks Based on Visual Mechanism and Supervised Synaptic Learning
Authors: Li Xiumin , Yi Hao , Luo Shengyuan
Published: October 2020

Electrophysiological studies have shown that mammalian primary visual cortex are selective for the orientations of visual stimuli. Inspired by this mechanism, we propose a hierarchical spiking neural network (SNN) for image classification. Grayscale input images are fed through a feed-forward network consisting of orientation-selective neurons, which then projected to a layer of downstream classifier neurons through the spiking-based supervised tempotron learning rule. Based on the orientation-selective mechanism of the visual cortex and tempotron learning rule, the network can effectively classify images of the extensively studied MNIST database of handwritten digits, which achieves

96
%

classification accuracy based on only

2000

training samples (traditional training set is

60000

). Compared with other classification methods, our model not only guarantees the biological plausibility and the accuracy of image classification but also significantly reduces the needed training samples. Considering the fact that the most commonly used deep learning neural networks need big data samples and high power consumption in image recognition, this brain-inspired computational neural network model based on the layer-by-layer hierarchical image processing mechanism of the visual cortex may provide a basis for the wide application of spiking neural networks in the field of intelligent computing.
Known-Key Distinguishing and Partial-Collision Attacks on GFN-2 with SP F-Function
Authors: Hong Deukjo
Published: October 2020

We study known-key distinguishing and partial-collision attacks on GFN-2 structures with various block lengths in this paper. For 4-branch GFN-2, we present 15-round known-key distinguishing attack and 11-round partial-collision attack which improve previous results. We also present 17-round known-key distinguishing attack on 6-branch GFN-2 and 27-round known-key distinguishing attack on 8-branch GFN-2 and show that several partial-collision attacks are derived from them. Additionally, some attacks are valid under special conditions for the F-function.
Discrete Element Modeling of Crack Initiation Stress of Marble Based on Griffith’s Strength Theory
Authors: Wang Suifeng , Tan Fei , You Minglong , Jiao Yu-Yong , Tu Fubin
Published: October 2020

Investigating the crack initiation stress of rocks is vital for understanding the gradual damage process of rocks and the evolution law of internal cracks. In this paper, the particle flow code method is used to conduct biaxial compression tests on a marble model with an elliptical crack under different confining pressures. According to the evolution status of microcracks in the rock during compression, four characteristic stresses are defined to reflect the gradual damage process of the marble. Two different methods are used to obtain crack initiation stress of rocks, and the calculation results are compared with those based on Griffith’s strength theory to verify the accuracy of this theory under compressive stress. Based on the numerical simulation results, the evolution law for the strength parameters of marble with the degree of damage is described. According to the proportional relationship between the peak stress and crack initiation stress, a new method for predicting the initiation stress is proposed, whose effectiveness is verified. Overall, the results of this study can serve as a useful guide for solving the important problems of slab cracking and rockburst encountered in underground space engineering.
Analysis and Prediction of Pavement Settlement Caused by Jacking Construction of Ultra-Shallow Rectangular Shield Frame Bridge
Authors: Hu Da , Li Yongsuo , Liang Xiaoqiang , Wu Youping , Zhang Sheng , Yao Qi
Published: October 2020

The primary purpose of this paper is to analyze and predict the ground settlement law of large-span rectangular shield frame bridge jacking project, to provide a reference for the optimization design and safe construction of similar projects. In this paper, combined with the jacking project of ultra-shallow buried soft soil layer rectangular shield frame bridge, through the on-site monitoring, the settlement deformation law of the longitudinal and transverse sections of the expressway pavement during the jacking construction process is discussed, and the reasons for the large settlement and rebound are analyzed. The basic laws of the road surface settlement with time are summarized. Based on the Kriging spatiotemporal prediction model, the road surface settlement is predicted. The research shows that the transverse settlement trough of the pavement caused by the rectangular shield frame bridge’s jacking construction is stable within 15 m–20 m on both sides toward the axis and symmetrical along the coordinate axis and the alignment roughly conforms to the normal distribution. The influence range of settlement trough becomes greater and greater with shield jacking, and the final settlement curve is W-shaped. After comparing the predicted curve with the measured road settlement curve, we found that the two curves are in good agreement, and the prediction result of the Kriging spatiotemporal prediction model is valid, which can reflect the process of road deformation development during the jacking process of the shield.
The Real Impact of Bridging or Downstaging on Survival Outcomes after Liver Transplantation for Hepatocellular Carcinoma
Authors: Lee Sunyoung , Kim Kyoung Won , Song Gi-Won , Kwon Jae Hyun , Hwang Shin , Kim Ki-Hun , Ahn Chul-Soo , Moon Deok-Bog , Park Gil-Chun , Lee Sung-Gyu
Published: October 2020

Introduction: There is no consensus regarding selection criteria on liver transplantation (LT) for hepatocellular carcinoma (HCC), especially for living donor liver transplantation, although emerging evidence has been found for the effectiveness of bridging or downstaging. Objective: We evaluated the long-term outcomes of patients who underwent LT with or without bridging or downstaging for HCC. Methods: This retrospective study included 896 LT recipients with HCC between June 2005 and May 2015. Recurrence-free survival (RFS), overall survival (OS), and their associated factors were evaluated. Results: The 5-year RFS in the full cohort of 896 patients was 82.4%, and the OS was 85.3%. In patients with initial Organ Procurement and Transplantation Network (OPTN) T1 and T2, the 5-year RFS and OS did not significantly differ between LT groups with and without bridging (all p ≥ 0.05). The 5-year RFS and OS of OPTN T3 patients with successful downstaging were not significantly different from those of patients with OPTN T2 with primary LT (p = 0.070 and p = 0.185), but were significantly higher than in patients with OPTN T3 with downstaging failure and initial OPTN T1 or T2 with progression (all p < 0.001). In the multivariate analysis, last alpha-fetoprotein before LT ≥70 ng/mL (hazard ratio [HR]: 1.77, p = 0.001; HR: 1.72, p = 0.004), pretransplant HCC status exceeding the Milan criteria (HR: 5.12, p < 0.001; HR: 3.31, p < 0.001), and positron emission tomography positivity (HR: 2.57, p < 0.001; HR: 2.57, p < 0.001) were independent predictors for worse RFS and OS. Conclusions: The impact of bridging therapy on survival outcomes is limited in patients with early-stage HCC, whereas OPTN T1 or T2 with progression provides worse prognosis. OPTN T3 should undergo LT after successful downstaging, and OPTN T3 with successful downstaging allows for acceptable long-term posttransplant outcomes.
Gallbladder Cancer Presenting as Mirizzi Syndrome Complicated by Rapidly Evolving 23 rRNA Gene-Linezolid Resistance with Vancomycin-Resistant Enterococcus Infection Resulting in Fatal Cholangial Sepsis
Authors: Schmitz Daniel , Eigner Ulrich , Schmidt-Wieland Torsten , Weber Petra , Magdeburg Richard , Kienle Peter , Rudi Jochen
Published: October 2020

We describe the case of a 71-year-old woman who presented with obstructive jaundice and subhilar bile duct stenosis. MRI showed extensive cholecystolithiasis with an impacted bile stone in the cystic duct suggesting Mirizzi syndrome. Delayed enhancement of the thickened gallbladder wall suggested inflammation instead of carcinoma. After drainage of the obstructed bile duct via ERCP, the patient developed liver abscesses with a nosocomial vancomycin-resistant enterococcus infection treated by linezolid. After 4 weeks, the VRE infection was complicated by a new-onset 23 rRNA gene-mediated linezolid resistance in the same bacterial strain, which was proven via core genome multilocus sequencing. Meropenem and tigecycline were administered according to a resistogram. Furthermore, percutaneous transhepatic biliary drainage of both sides of the liver was necessary. After demission, the patient had to be admitted again due to septic shock. An emergency operation revealed extended, inoperable gallbladder cancer. The patient died a few days later in the intensive care unit. An earlier diagnosis of bile duct infiltrating gallbladder cancer by cholangioscopy or laparoscopy and treatment of vancomycin-resistant enterococcus infection with daptomycin may have changed the clinical course of the disease.
Surveillance for Hepatocellular Carcinoma Also Improves Survival of Incidentally Detected Intrahepatic Cholangiocarcinoma Arisen in Liver Cirrhosis
Authors: Tovoli Francesco , Guerra Pietro , Iavarone Massimo , Veronese Letizia , Renzulli Matteo , De Lorenzo Stefania , Benevento Francesca , Brandi Giovanni , Stefanini Federico , Piscaglia Fabio
Published: October 2020

Background: Due to its poor survival, intrahepatic cholangiocarcinoma (ICC) is held to be a much more aggressive cancer than hepatocellular carcinoma (HCC). In most published series, patients were diagnosed when symptomatic. However, ICC is now increasingly being discovered during the surveillance for HCC in cirrhosis. Whether this earlier detection of ICC is associated with an equally dismal prognosis or not is unknown. Methods: This is amulticenter retrospective study of consecutive ICC patients. Patients were stratified into subgroups according to the absence/presence of cirrhosis. A propensity score matching was performed to reduce the potential biases. Cirrhotic patients were further stratified according to their surveillance status. The lead-time bias and its potential effects were also estimated. Results: We gathered 184 patients. Eighty-five patients (46.2%) were cirrhotic. Liver cirrhosis was not related to a worse overall survival (33.0 vs. 32.0 months, p = 0.800) even after the propensity score analysis (43.0 in vs. 44.0 months in 54 pairs of patients, p = 0.878). Among the cirrhotic population, 47 (55.3%) patients had received a diagnosis of ICC during a surveillance programme. The 2 subgroups differed in maximum tumour dimensions (30 vs. 48 mm in surveyed and non-surveyed patients, respectively). Surveyed patients were more likely to receive surgical treatments (59.8 vs. 28.9%, p = 0.003). Overall survival was higher in surveyed patients (51.0 vs. 21.0 months, p < 0.001). These benefits were confirmed after correcting for the lead-time bias. Conclusions: Cirrhotic patients have different clinical presentation and outcomes of ICC according to their surveillance status. In our series, ICC in cirrhosis was not associated with worse OS. Cirrhosis itself should not discourage either surgical or non-surgical treatments.
Blood Urea Nitrogen to Creatinine Ratio and Long-Term Mortality in Patients with Acute Heart Failure: A Prospective Cohort Study and Meta-Analysis
Authors: Zhu Xu , Cheang Iokfai , Liao Shengen , Wang Kai , Yao Wenming , Yin Ting , Lu Xinyi , Zhou Yanli , Zhang Haifeng , Li Xinli
Published: October 2020

Objective: To further explore the relationship between the blood urea nitrogen to creatinine (BUN/Cr) ratio and the prognosis of patients with acute heart failure (AHF), a two-part study consisting of a prospective cohort study and meta-analysis were conducted. Methods: A total of 509 hospitalized patients with AHF were enrolled and followed up. Cox proportional hazards regression was used to analyze the relationship between the BUN/Cr ratio and the long-term prognosis of patients with AHF. Meta-analysis was also conducted regarding the topic by searching PubMed and Embase for relevant studies published up to October 2019. Results: During a median follow-up of 2.8 years, 197 (42.6%) deaths occurred. The cumulative survival rate of patients with a BUN/Cr ratio in the bottom quartile was significantly lower than in the other 3 groups (log-rank test: p = 0.003). In multivariate Cox regression models, the mortality rate of AHF patients with a BUN/Cr ratio in the bottom quartile was significantly higher than in the top quartile (adjusted HR 1.52; 95% CI 1.03–2.24). For the meta-analysis, we included 8 studies with 4,700 patients, consisting of 7 studies from the database and our cohort study. The pooled analysis showed that the highest BUN/Cr ratio category was associated with an 77% higher all-cause mortality than the lowest category (pooled HR 1.77; 95% CI 1.52–2.07). Conclusions: Elevated BUN/Cr ratio is associated with poor prognosis in patients with AFH and is an independent predictor of all-cause mortality.
Punctual Breast Implant Rupture following Lipofilling: Only a Myth?
Authors: Rivera Andres , González-Pozega Carlota , Ibarra Gorka , Fernandez-Ibarburu Borja , García-Ruano Ángela , Vallejo-Valero Alfonso
Published: October 2020

Background: Lipofilling techniques are widespread in clinical practice as a complement to breast reconstruction, despite posing some risk. Punctual implant rupture following a fat transfer is one of the possible complications, which has not been properly reported yet and is probably being underdiagnosed. The aim of this paper is to report key facts for appropriate diagnosis of this clinical chart.Case Report:We present the case of a 47-year-old woman with a bilateral prosthetic breast reconstruction who was treated with autologous fat graft for upper pole enhancing and scar improvement. The patient developed an early unilateral breast capsular contracture after the fat graft procedure, with normal radiological exploration. Surgical findings showed intraprosthetic fat deposits and a punctual implant rupture. Conclusions: Punctual breast implant rupture is a possible complication of lipofilling that is usually not suspected at first consultation and might be underdiagnosed based on radiological findings, so investigating clinical signs should necessarily be a prerequisite to diagnosis.
On a new species of Spirobranchus Blainville, 1818 (Annelida: Serpulidae) and considerations on the genus along the Brazilian coast
Authors: Brandão Ivison Cordeiro , Brasil Ana Claudia dos Santos
Published: October 2020

Spirobranchus are abundant and diverse serpulids in tropical regions, with three species reported in Brazil, which occurrence is questionable, due to their distant type localities. In the present work, we describe a new species of Spirobranchus from the Brazilian coast and report the other species of the genus occurring off Brazilian shoreline, based on specimens from different locations. Specimens were collected in the states of Alagoas, Rio de Janeiro, and Santa Catarina, sorted and analyzed under a stereoscopic microscope. Then, the animals were anesthetized and subsequently fixed and prepared for the scanning electron microscopy. Specimens from the Caribbean and other Brazilian states were loaned from Museu Nacional of Universidade Federal do Rio de Janeiro, Universidade Estadual do Rio de Janeiro and Universidade Federal de Alagoas. Morphological analyzes differentiated the three species and provided details of the morphology that can be used in the future taxonomy of the family. The species S. giganteus and S. tetraceros are more similar to each other, but can be readily separated based on the spiral radiolar crown in the former; S. minutus differs from the other species for the tube, operculum, and type of uncini. Spirobranchus lirianeae sp. nov. nests within S. kraussii-complex, with a concave operculum, absence of collar chaetae and paired compound eyes on the radioles, differing by being a solitary rather than a gregarious species, by the funnel-shaped operculum, fringed tonguelets and tube with single keel, distally pointed.
Paisagem e Literatura
Authors: Pinheiro Neto José Elias , Suzuki Júlio César , Lima André Luiz Martins de
Published: October 2020

Literatura e Geografia caminham lado a lado na materialização do ficcional para o real, dentro de um processo mimético. Assim, este trabalho tem por objetivo trazer observações feitas a partir da leitura do poema Morte e Vida Severina, escrito por João Cabral de Melo Neto, entre os anos de 1954 e 1955, e publicado em 1956. Este poema conta a história de Severino, homem que sai do Sertão em busca de uma melhor qualidade de vida. A metodologia utiliza-se de uma revisão bibliográfica em que apontamos como principais fontes teóricas de consulta: Bachelard (1986), Monteiro (2002), Feitosa (2010), Pinheiro Neto (2012) e Alves (2018).
Taxonomy, valve ultrastructure, nomenclature and a comparison of two species of Bacillariales from freshwaters of Puerto Rico

Authors: KOCIOLEK J.P. , DANZ A. , SWENSON J. , THIROUIN K. , WILLIAMS D.M. , BORSA T.
Published: October 2020

We have investigated two canal-raphe bearing taxa from two freshwater long-term ecological monitoring sites in the NEON program from Puerto Rico. The identity of these two taxa have been misunderstood, and they have been mistaken for one another, due to being similar in size, shape and having interrupted striae across the valve face. Denticula occidentalis Østrup was described from the U.S. Virgin Islands, and like its congeners has fibulae that extend across the valve face as thickened ribs. The species also has valvocopulae that are typical for the genus, with arched sections that clasp onto the knob-like fibulae. Denticula occidentalis has a discontinuous raphe system, and external proximal raphe ends are hooked towards the valve center and elongated. Grunowia portoricensis, sp. nov. has fibulae restricted to the raphe side of the valve, though unlike most members of the genus the fibulae are knob-like. The raphe is continuous across the central area. Though described here as new to science, the species has been illustrated previously from Venezuela. Distinctions between Nitzschia, Denticula and Grunowia are discussed.
A new species of Indonemoura fujianensis complex (Plecoptera: Nemouridae) from Central China, with female association of I. auriformis Li & Yang, 2008
Authors: LI WENLIANG , YANG DING , LI WEIHAI
Published: October 2020

A new species of the Indonemoura fujianensis complex of in the genus Indonemoura Baumann 1975 (Plecoptera: Nemouridae), I. wangae sp. nov. is described from the Shennongjia National Natural Reserve, Hubei Province of Central China. This new taxon is compared with other related members of the I. fujianensis complex. The female of I. auriformis Li & Yang, 2008 is positively associated based on mating pairs recently collected. In the original description, the female of this was erroneously associated and is considered now as an unidentified Indonemoura female herein.
Addendum to Zootaxa 4683 (4): Popillia biguttata (Wiedemann in Wiedemann & Germar, 1821) (Coleoptera: Scarabaeidae: Rutelinae) established on New Guinea? With an illustrated key to Sundaland Popillia Dejean species
Authors: TELNOV DMITRY , ZORN CARSTEN
Published: October 2020

In our recent publication (Telnov & Zorn 2019) we overlooked and did not include Popillia migliaccioi Sabatinelli, 1996, described from “Java”, in our checklist and key of Sundaland Popillia species. However, the examination of the holotype of this species deposited in the Muséum d’Histoire Naturelle, Geneva, Switzerland (Figs. 1–8) revealed that Popillia migliaccioi is in fact an Afrotropical species, which was already described under the name Popillia maynei Ohaus, 1914. It is obvious that the specimen studied and described by Sabatinelli (1996) is mislabelled and is not from Java (Fig. 8). Unfortunately, the type material of P. maynei, which is housed in the Museum für Naturkunde, Berlin, Germany, is on loan indefinitely and was not available for our study (Bernd Jäger, personal communication). However, the original description of P. maynei and the aedeagus as originally figured by Ohaus (1914) (Fig. 9) match habitus and aedeagus of the P. migliaccioi holotype perfectly (Figs. 4–6). Habitus photographs of an additional comparative specimen from Togo (Kloto, III.2015, Don P. Léonard, deposited in the Royal Belgian Institute of Natural Sciences, Brussels, Belgium) are provided for comparison in figs. 10 and 11.
Viral Marketing for Public Health Campaigns in Social Networks
Authors: Wang Xiaofeng , Zhuo Wei , Zhan Qianyi , Liu Yuan
Published: October 2020

Viral marketing for public health campaigns aims at identifying a group of seed users to maximize the message of public health information in a target social network. Different from traditional viral marketing problems, public health campaigns try to expand social influence in the target
network, meanwhile it also focus on their target audience, who are difficult to discover. Meanwhile, besides the target network, users nowadays can also participate many other social networks. Discovering target audience and viral marketing in these networks, referred to as the source networks,
can be relatively easier, and the shared users can act as intermediate nodes transmitting information from these networks to the target one. In this paper, we propose to carry viral marketing for public health campaign in the target network in a roundabout way, by selecting seed users from
the target and other external networks and influence users through intra- and inter-network information diffusion. To achieve such an objective, a new inter-network information diffusion model IPADH is introduced in this paper. Based on IPADH, cross-network viral marketing framework IMDP is
proposed to solve the problem. Extensive experiments are conducted on anti-smoking campaign datasets, and results demonstrate that IMDP can outperform traditional intra-network viral marketing methods with significant advantages.
Digital Evaluation Algorithm for Upper Limb Motor Function Rehabilitation Based on Micro Sensor
Authors: Ding Bin , Tian Fuxiao , Zhao Li
Published: October 2020

The electroencephalogram (EEG) of the cerebral cortex reflects the upper limb motion control information of the human body. The electro myographic signal (EMG) of the body muscle tissue reflects the response of the upper limb muscle to the brain control. The intersection of two physiological
electrical signals has become a new hot field in artificial intelligence, medical rehabilitation and neuroscience. Firstly, starting with the analysis of the power consumption characteristics of the micro-sensor system, by studying the working principle and design scheme of the energy self-capture
technology, various energy supply methods of the combined vibration energy harvesting system, the thermoelectric energy harvesting system and the RF energy harvesting system are proposed. Combined upper limb exercise rehabilitation energy is self-capture program. Secondly, the upper limb motor
EEG and EMG signal acquisition experiments were designed to preprocess the acquired signals. Based on the wavelet threshold denoising method, an improved threshold algorithm is proposed to remove the noise in the EEG signal and improve the signal-to-noise ratio of the EEG signal. On the basis
of the wavelet analysis method, the stratified threshold denoising method is applied to the collected EMG signals for denoising processing and digital evaluation of upper limb motor function rehabilitation. Finally, a digital evaluation method for upper limb motor function rehabilitation combined
with wavelet low-frequency coefficients and significant information is proposed. The algorithm combines wavelet transform, motion estimation, and significant information to design a video quality evaluation algorithm. It can be seen from the experimental results that the performance of this
algorithm is superior and maintains high consistency with the human motion system.
Spatial Fuzzy Clustering and Its Application for MRI and CT Image Segmentation
Authors: Bi Anqi , Ying Wenhao , Qian Zhenjiang
Published: October 2020

Due to the low segmentation accuracy and sensitivity to initial contour in image segmentation of CV model, an image segmentation algorithm based on CV model combined with spatial fuzzy c-means was proposed for MRI and CT image segmentation with unclear boundary, artifact and high noise.
Based on the rough segmentation of the image by using the fuzzy c-means clustering algorithm in the spatial domain, the initial contour is set by using the clustering information to assist the CV model, and the target region is segmented by iterative evolution. The experimental results showed
that when the number of iterations was only 50, the Dice coefficient of our algorithm for segmentation of brain MRI images was 89.17%, 38.9% higher than the traditional CV model. It can be seen that the algorithm has higher discrimination and better segmentation effect for medical images.
The Effects on Cognitive, Emotional, and Physical Functions of the Elderly at Local Senior Center from Dementia Prevention Program for the Dementia Safety Village
Authors: Park Young-Sun , Jee Young-Ju
Published: October 2020

This non-synchronized design research tested the effects of dementia prevention program on cognitive and emotional functions, and activities of daily living of subjects in The Dementia Safety Village by National Responsibility System for Dementia. The subjects were 11 elders at local
elderly center of The Dementia Safety Village. Outcome variables include cognition (MMSE-DS: Mini-Mental State Examination-Dementia Scale), emotion (SGDS-K: Short form Geriatric Depression Scale-Korean version), and physical function (IADL: Instrumental Activity of Daily Living). The program
provided two hours per a session per week for eight weeks. After completing the program, the score of MMSE-DS, a tool for cognitive function evaluation, increased with a statistically significant figure (t = –3.35, p = 0.007). The score of SGDS-K, which evaluated emotional
function, increased, though it did not reach in a statistically significant level (t = –0.482, p = 0.640). The score of IADL showed no a statistically significant figure (t = 0.680, p = 0.512), but the mean showed a slight decreased figure (pre 12.00 ±
4.49, post 11.00 ± 2.19). Based on these results, the dementia program may be used for dementia prevention to the patients of The Dementia Safety Village. This research suggests that an appropriate program for the prevention of dementia needed to be developed further in the future.
Patient Emotion Recognition in Human Computer Interaction System Based on Machine Learning Method and Interactive Design Theory
Authors: Chen Xiang , Cao Ming , Wei Hua , Shang Zhongan , Zhang Linghao
Published: October 2020

There are more and more human computer interaction systems (HCIS) in the medical field. Improving the service quality of HCIS and making them more intelligent is an inevitable trend in the future. Emotion recognition is of great significance for patients using HCIS. Some excellent HCIS
not only satisfies the needs of patients, but also judges the emotional state of patients based on the results of emotional recognition, thereby providing more intimate medical services. Therefore, emotion recognition is crucial for HCIS. To effectively optimize the correct rate of emotion
recognition, a novel emotion recognition framework based on machine learning is proposed. The core of the framework is to select the optimal classifier for different emotional data, and fuse the classification results of each classifier to get the global classification result. Experiments
demonstrate that the proposed framework not only improves the accuracy of emotion recognition, but also improves the stability and reliability of the recognition results. The emotion recognition function based on the framework is applied to the HCIS design, so that the HCIS of the medical
institution can better serve the patient during use, keep the patient happy, and improve the patient's happiness index and rehabilitation rate.
Analysis of the Characteristics and Related Risk Factors of Vascular Dementia After Ischemic Stroke Based on Nuclear Magnetic Resonance
Authors: Feng Qingmin
Published: October 2020

VD (Vascular Dementia) refers to clinical dementia caused by brain tissue damage caused by cerebrovascular disease factors. It is one of the common types of dementia. This paper examines patients with first stroke to determine whether to list them as observation objects and randomly
divides the observation objects into intervention groups and control groups. Studies have shown that the incidence of VD after a stroke is closely related to the location of the stroke, and the incidence of VD in the intervention group is significantly lower than that in the control group.
In addition, there were no significant adverse reactions in the intervention group. In this paper, 51 patients with VD after cerebral infarction were selected as the VD group, and 48 patients with non-VD after cerebral infarction were selected as the non-VD group. All 99 patients with stroke
were assessed for cognitive function using the simple mental scale and the Montreal Cognitive Assessment Scale within 3 months after stroke. The characteristics of skull MRI (Magnetic Resonance Imaging) and related risk factors in patients with VD and non-VD were compared and analyzed. The
results showed that age, hypertension, and diabetes were associated with the occurrence of VD.
Multi-View Modeling Method for Functional MRI Images
Authors: Zhu Jinlong , Hu Xiujian , Zhang Chao , Sheng Guanglei
Published: October 2020

This paper proposes a new unsupervised fuzzy feature mapping method based on fMRI data and combines it with multi-view support vector machine to construct a classification model for computer-aided diagnosis of autism. Firstly, a multi-output TSK fuzzy system is adopted to map the original
feature data to the linear separable high-dimensional space. Then a manifold regularization learning framework is introduced, and a new method of unsupervised fuzzy feature learning is proposed. Finally, a multi-view SVM algorithm is used for classification tasks. The experimental results
show that the method in this paper can effectively extract important features from the fMRI data in the resting state and improve the model's interpretability on the premise of ensuring the superior and stable classification performance of the model.
Clinical Diagnostic Value of Magnetic Resonance Imaging in Knee Joint Sports Injury
Authors: Wang Bing , Wang Li , Wang Yingyi , Qin Fen
Published: October 2020

This article mainly analyzes the clinical effects of magnetic resonance diagnosis in knee meniscus injury. Patients with knee meniscus injury were taken as the research object. All patients used magnetic resonance examination and surgery and arthroscopy examination, and surgery and
arthroscopy examination as the control parameters. The analysis used magnetic resonance diagnosis results and the classification of meniscus injury diagnosed by magnetic resonance and surgery and arthroscopy. The results showed that the sensitivity, specificity, and accuracy of conventional
MR1 sequence diagnosis of medial meniscus injury were 86.3%, 95.6%, and 92.4%, respectively. The sensitivity, specificity and accuracy of conventional MRI in diagnosing lateral meniscus injury of the knee joint were 91.3%, 94.5%, and 92.5% respectively. The sensitivity of MRI to medial and
lateral meniscus injury was (χ2 = 0.07, P > 0.77), There were no significant differences in specificity χ2 = 0.01, P > 0.77) and accuracy χ2 = 0.01, P > 0.77). The knee meniscus injury has a greater
impact on patients. The diagnostic effect of magnetic resonance imaging is better and the diagnostic accuracy is higher. It can help clinical judgment and treatment. The effect is obvious and worthy of clinical promotion.
The Clinical Value of Transvaginal Sonography Combined with Magnetic Resonance Imaging in Diagnosis of Deep Invasive Endometriosis in Pelvic Cavity
Authors: Li Qingxue , Chen Jingwei , Yang Jian , Sto Chloe , Ray Angel
Published: October 2020

Objective: The objective of this study is to analyze the diagnostic value of transvaginal sonography (TVS), magnetic resonance imaging (MRI) and their combination in patients with deep invasive endometriosis (DIE) in pelvic cavity. Method: In this study, 235 patients with
DIE were selected as the study objects, and the lesion location of the patients was determined by TVS, MRI, and combined examination before surgery. According to the actual situation of the patient, laparoscopic or open surgery was performed to remove the lesion tissue, which was regarded
as the gold standard. The sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio of TVS, MRI, and combined diagnosis were compared. In addition, Kappa test was adopted to compare the consistency between different
diagnostic methods and the gold standard. Results: The total Se of the DIE detected by THV was 91.61%, and the Sp was 90.74%. The total Se of DIE detected by MRI was 95.76%, and the Sp was 92.07%. The total Se of DIE detected by THV combined with MRI was 96.47%, and the Sp was 93.41%.
The LR– value of DIE detected by TVS was 0.21, the LR– value detected by MRI was 0.18, and the LR– value detected by combined detection was 0.13. The κ coefficient of DIE detected by TVS was 0.70, the κ coefficient
detected by MRI was 0.73, and the κ coefficient by combined detection was 0.79. Conclusion: TVS combined with MRI to detect DIE has a higher sensitivity and specificity, a higher positive detection rate, and a higher consistency with the diagnostic results of gold standard.
Clinical Application of Information Medicine Cardiac Magnetic Resonance Quantitative Imaging in Central Nervous System Cardiology Cardiomyopathy
Authors: Shen Jianhong , Li Zanfei , Ren Xianliang
Published: October 2020

Objective: To study the left ventricular systolic function in patients with central nervous system endocarditis myocarditis by using information-based cardiac magnetic resonance quantitative imaging technique. LGE and T1 mapping techniques were used to evaluate myocardial localized
fibrosis and diffuse fibrosis, respectively. The situation is to explore the limitations and the relationship between diffuse cardiomyopathy and cardiac function. Methods: A total of 44 patients with dilated cardiomyopathy and 23 healthy volunteers were scanned with a magnetic resonance
imager to determine the occurrence of focal myocardial and diffuse fibrosis, and to analyze the relationship between left ventricular systolic function and left ventricular systolic function. Relationship. Results: The TML values (1335.23 ± 60.91 ms) and LGE (–) subgroups
(1309.05 ± 55.02 ms) in the DCMLGE(+) subgroup were significantly different from those in the control group (P < 0.001); however, DCMLGE ( There was no significant difference in the myocardial T1 values between the + and LGE (–) groups (P > 0.05). Conclusion:
Cardiac magnetic resonance quantitative imaging technology can reflect the diffuse fibrosis of patients with cardiomyopathy, and can detect early myocardial fibrosis early. In addition, patients with cardiomyopathy have myocardial limitations and diffuse fibrosis, which affects the contractile
function of the left ventricle of the heart.
Analysis on the Diagnosis of Ovarian Follicular Membrane Cell Tumor by Magnetic Resonance Imaging Under Statistical Discrepancy Algorithm
Authors: Zhao Yirong , Liu Cuifang , Zhang Xiaoyu , Liu Henglian , Zou Lingfeng , Yang Hua
Published: October 2020

In order to improve the early diagnosis rate of follicular cell tumor (C-Tu), reduce the occurrence of malignant tumor, make the patients receive timely treatment, and reduce the mortality, in this research, a total of 48 patients diagnosed as follicular C-Tu admitted to Chongqing Traditional
Chinese Medicine Hospital from January 2017 to December 2018 were selected. Computed tomography (CT) and functional magnetic resonance imaging (MRI) images were used to obtain the image of lesion site and analyze the image characteristics. Patients were grouped and compared according to the
difference of image characteristics based on statistical discrepancy algorithm (SDA). The specificity (Sp) and sensitivity (Se) of CT scan and MRI images were compared and analyzed to provide the most effective detection method for the subsequent clinical diagnosis. The results showed that
most patients had unilateral disease, and most of them were round or oval, with different sizes. The SDA can effectively organize and analyze the influence characteristics of patients. Patients can be grouped according to the proportion of cystic firmness shown in the image. MRI plain scan
showed moderate or low signal on T1WI and high signal on T2WI. The T2WI signal could be enhanced with the continuous cystic change of lesion site. The diagnosis efficiency (DE) of CT and MRI was compared with that of surgical pathology as the gold standard.
The Se and accuracy (Ac) of MRI diagnosis were higher than that of CT diagnosis, and the comparison of kappa consistency was 0.73 (P < 0.05), which showed that the imaging diagnosis of follicular membrane cell tumour by MRI could obtain higher diagnosis Ac.