bluuebunny/crossref_metadata_2025 huggingface dataset:
Fractal analysis of perfusion imaging in synovitis: a novel imaging biomarker for grading inflammatory activity based on assessing angiogenesis
Authors: Michallek Florian , Ulas Sevtap Tugce , Poddubnyy Denis , Proft Fabian , Schneider Udo , Hermann Kay-Geert A , Dewey Marc , Diekhoff Torsten
Published: February 2022

Objectives

The mutual and intertwined dependence of inflammation and angiogenesis in synovitis is widely acknowledged. However, no clinically established tool for objective and quantitative assessment of angiogenesis is routinely available. This study establishes fractal analysis as a novel method to quantitatively assess inflammatory activity based on angiogenesis in synovitis.

Methods

First, we established a pathophysiological framework for synovitis including fractal analysis of software perfusion phantoms, which allowed to derive explainability with a known and controllable reference standard for vascular structure. Second, we acquired MRI datasets of patients with suspected rheumatoid arthritis of the hand, and three imaging experts independently assessed synovitis analogue to Rheumatoid Arthritis MRI Scoring (RAMRIS) criteria. Finally, we performed fractal analysis of dynamic first-pass perfusion MRI in vivo to evaluate angiogenesis in relation to inflammatory activity with RAMRIS as reference standard.

Results

Fractal dimension (FD) achieved highly significant discriminability for different degrees of inflammatory activity (p<0.01) in software phantoms with known ground-truth of angiogenic structure. FD indicated increasingly chaotic perfusion patterns with increasing grades of inflammatory activity (Spearman’s ρ=0.94, p<0.001). In 36 clinical patients, fractal analysis quantitatively and objectively discriminated individual RAMRIS scores (p≤0.05). Area under the receiver-operating curve was 0.84 (95% CI 0.7 to 0.89) for fractal analysis when considering RAMRIS as ground-truth. Fractal analysis additionally identified angiogenesis in cases where RAMRIS underestimated inflammatory activity.

Conclusions

Based on angiogenesis and perfusion pathophysiology, fractal analysis non-invasively enables comprehensive, objective and quantitative characterisation of inflammatory angiogenesis with subjective and qualitative RAMRIS as reference standard. Further studies are required to establish the clinical value of fractal analysis for diagnosis, prognostication and therapy monitoring in inflammatory arthritis.
Vascular occlusion associated with abiotic stress is a causal agent of silvertop in perennial grasses
Authors: Soroka Juliana J. , Lees Garry L. , Gossen Bruce D.
Published: February 2022

Silvertop (sterile heads) of perennial cool-season grasses is common in aging stands grown for seed production. It is associated with yield reduction, but the causal agent(s) has not been determined. A study was conducted to examine the cytology of grass tillers with and without silvertop. A series of cross sections of stems from field samples of Kentucky bluegrass and meadow bromegrass (where signs of insect injury or fungal infection were absent) revealed abnormalities in the tissues above the last node in tillers exhibiting silvertop, while cells in the stems of healthy tillers appeared normal. Most cells from stems exhibiting silvertop became irregular and distorted, and eventually lost their integrity and shape altogether. At the terminal nodes of these stems, the sieve plates of xylem vessels were occluded with unidentified material, preventing the passage of water to the seed head. The xylem and phloem cells in the leaf sheath and blade surrounding the silvertop stems appeared normal. Spherical bodies in x-section, believed to be fungal mycelium and spores, were occasionally found above the point of tissue necrosis above the last node. Very few spherical bodies were observed below the symptomatic tissue, and none were found in the terminal node. The blockages observed in the water-conducting vessels to the seed head appear to have been induced by the plant as a response to abiotic stress, rather than by external biotic factors such as insects or pathogens.
Influence of piston crown shape with different positions of spark plug and fuel injector, %EGR, and fuel system control on emissions from modified GDI engines compared with a base diesel engine
Authors: Nagareddy Shivakumar , Govindasamy Kumaresan
Published: February 2022

In this study, the combustion chamber profiles were developed for spray, wall, and air-guided gasoline direct injection (GDI) engines. For each combustion chamber geometry of GDI engine, the piston crown surface was modified, from hemispherical bowl, to trapezoidal bowl, and a pent roof shape that included a scoop type bowl on one side (towards injector position) to impart better squish, swirl, tumble, and turbulence effects to improve the mixing characteristics. Also, the cylinder heads were modified for each combustion chamber geometry by changing the locations of the spark plug and fuel injector. Further, the fuel split injection timings with duration, ignition timing, and the percentage of exhaust gas recirculation were optimized to reduce an engine out emissions; especially soot and nitrogen oxides. Emission tests were conducted on the base diesel engine and the GDI engine with the three different combustion chamber geometries. It is clear from the results that the emission of nitrogen oxides in the wall-guided mode was reduced by 5% till 75% of the load when compared with spray-guided and air-guided combustion modes. Overall, the GDI engine with the wall-guided combustion chamber geometry produced better results at 150 bar fuel injection pressure when compared with the base diesel engine; nitrogen oxides emission was reduced from 377 to 77 ppm and soot emissions were reduced from 29.3 to 4.5 g/km at high torque.
Anomaly detection from mass unspecific jet tagging
Authors: Aguilar-Saavedra J. A.
Published: February 2022

We introduce a novel anomaly search method based on (i) jet tagging to select interesting events, which are less likely to be produced by background processes; (ii) comparison of the untagged and tagged samples to single out features (such as bumps produced by the decay of new particles) in the latter. We demonstrate the usefulness of this method by applying it to a final state with two massive boosted jets: for the new physics benchmarks considered, the signal significance increases an order of magnitude, up to a factor of 40. We compare to other anomaly detection methods in the literature and discuss possible generalisations.
Optimization of IPv6 Neighbor Discovery Protocol
Authors: Machana Jithender Reddy , Narsimha G.
Published: February 2022

In IPv6, the DAD (Duplicate Address Detection) protocol detects duplicate addresses configured on the local link. Once the IPv6 address is auto configured on an IPv6 enabled host, the host verifies that its address is unique using the DAD procedure. This protocol works when hosts can communicate. If the DAD protocol fails to detect duplication, both the hosts assign the same link-local address. The neighbor discovery protocol verifies the generated address is unique or already exists on the local link. This process is known as Duplicate Address Detection (DAD). This process has critical security vulnerability and is susceptible to many attacks, especially allowing hackers to perform denial of service attacks (DOS). With that, the new devices will not be able to join the network. Researchers have developed various techniques to address DAD vulnerabilities, such as NDPMon, SEND, and Software-defined networking, SAVA, and extension headers. These techniques appear to be neither robust nor performance-oriented with DAD’s DOS detection and mitigation techniques. We have proposed a novel approach that detects and mitigates DOS attacks consuming low bandwidth and overhead.
Ensemble Classifier with Heterogenous Fusion Center for Cooperative Spectrum Sensing in Cognitive Radio
Authors: Ravisankar D. B. V. , Venkateswararao N.
Published: February 2022

Cooperative spectrum sensing (CSS) in a cognitive radio uses a fusion center, which receives local sensing decisions from multiple secondary users to predict whether primary user is present or absent. Therefore, an ensemble classifier with heterogenous fusion center (EC-HFC) is proposed in this work, where the ensemble classifier comprise three classification algorithms such as logistic regression (LR), support vector machine (SVM), and gaussian naive bayes (GNB). In addition, voting classifier with its variants also employed for finding the best suitable classifier. Further, the performance metrics such as accuracy, F1-score, area under the curve (AUC), probability of detection and probability of false alarm are computed for evaluating the performance of proposed ensemble classifier-based fusion center for cooperative spectrum sensing in cognitive radio. Finally, the obtained receiver operating characteristics (ROC) and extensive simulation results shows that proposed fusion center resulted in superior performance as compared to individual secondary users.
On the Number of Edges in a 3-Uniform Hypergraph with No (k + 1)-Connected Hypersubgraphs
Authors: Wang Qinglin , Tian Yingzhi , Feng Lihua
Published: February 2022

Let [Formula: see text] be a hypergraph, where [Formula: see text] is a set of vertices and [Formula: see text] is a set of non-empty subsets of [Formula: see text] called edges. If all edges of [Formula: see text] have the same cardinality [Formula: see text], then [Formula: see text] is an [Formula: see text]-uniform hypergraph. A hypergraph [Formula: see text] is called a hypersubgraph of a hypergraph [Formula: see text] if [Formula: see text] and [Formula: see text]. The [Formula: see text]-[Formula: see text] of hypergraph [Formula: see text], denoted by [Formula: see text], is the cardinality of a minimum vertex set [Formula: see text] such that [Formula: see text] is disconnected or is a trival hypergraph. We call [Formula: see text] [Formula: see text]-[Formula: see text] if [Formula: see text]. Tian, Lai and Meng [Y. Z. Tian, H.-J. Lai, J. X. Meng, On the sizes of vertex-[Formula: see text]-maximal [Formula: see text]-uniform hypergraphs, Graphs and Combinatorics 35(5) (2019) 1001–1010] conjectered that, for sufficiently large [Formula: see text], every [Formula: see text]-vertex [Formula: see text]-uniform hypergraph with no [Formula: see text]-connected hypersubgraphs has at most [Formula: see text] edges. This upper bound is equal to [Formula: see text] when [Formula: see text]. In this paper, we prove that for [Formula: see text] and [Formula: see text], every [Formula: see text]-vertex [Formula: see text]-uniform hypergraph with no [Formula: see text]-connected hypersubgraphs has at most [Formula: see text] edges.
Research on Nonlinear Distorted Image Recognition Based on Artificial Neural Network Algorithm
Authors: Yan Wensheng , Shabaz Mohammad , Rakhra Manik
Published: February 2022

To study nonlinear distortion image recognition technology. Through the study of neural networks, an image recognition model based on BP neural network is proposed: An improved algorithm for driving quantity factor. According to the established neural network model, 10 commonly used images of Arabic numeral characters are recognized. The effectiveness of the model is verified by experiments with the extracted feature parameters of the target image. The results show that 38 of the 40 distorted images with noise can be correctly identified and 2 of them can be incorrectly identified by the single-stage recognition network, and the recognition rate reaches 95%; the recognition rate of cascade network reaches 100%. Therefore, the BP network which drives the number term can accelerate the training time of the network and improve the recognition efficiency of the system.
Advancing Chinese Event Detection via Revisiting Character Information
Authors: Qin Yanxia , Wang Zhongqing , Zhang Yue , Chen Kehai , Zhang Min
Published: February 2022

Recently, character information has been successfully introduced into the encoder-decoder event detection model to relieve the trigger-word mismatch problem, thus achieving impressive results in the languages without natural delimiters (i.e., Chinese). However, it is introduced into the encoder or the decoder separately, which makes the advantage of character information not be captured and represented adequately for event detection. In this article, we proposed a novel method to model character information in both the encoding and decoding stages to advance the neural event detection model. In particular, the proposed method can encode both words and characters and predict their event types jointly and further leverage interactions between word and its characters to optimize the inference. Experimental results show that the proposed model outperforms previous event detection methods on the ACE2005 Chinese benchmark. We release our code at Github.

1
MDP-based Network Friendly Recommendations
Authors: Giannakas Theodoros , Giovanidis Anastasios , Spyropoulos Thrasyvoulos
Published: February 2022

Controlling the network cost by delivering popular content to users, as well as improving streaming quality and overall user experience, have been key goals for content providers (CP) in recent years. While proposals to improve performance, through caching or other mechanisms (DASH, multicasting, etc.) abound, recent works have proposed to turn the problem on its head and complement such efforts. Instead of trying to reduce the cost to deliver
every
possible content to a user, a potentially very expensive endeavour, one could leverage omnipresent recommendations systems to nudge users towards the content of low(er) network cost, regardless of where this cost is coming from. In this paper, we focus on this latter problem, namely optimal policies for “Network Friendly Recommendations” (NFR). A key contribution is the use of a Markov Decision Process (MDP) framework that offers significant advantages, compared to existing works, in terms of both modeling flexibility as well as computational efficiency. Specifically we show that this framework subsumes some state-of-the-art approaches, and can also optimally tackle additional, more sophisticated setups. We validate our findings with real traces that suggest up to almost 2X in cost performance, and 10X in computational speed-up compared to recent state-of-the-art works.
Enhanced Pyroelectric Coefficient in Ferroelectric Lead Zirconium Titanate Thick Films for Thermal Energy Harvesting Applications
Authors: Vandana  , Gupta Reema , Tandon R. P. , Tomar Monika
Published: February 2022

Due to increase in growth population and energy demand, energy harvesting technology has become a sensational topic of research community. Amongst all the available energy harvesting technologies (mechanical, magnetic, wind, hydrothermal), harvesting waste heat has gained a lot of interest because of its cost effectiveness and availability of significant thermal fluctuations in industrial processes as well as in nearby surroundings. Therefore, efforts have been made on harvesting thermal energy through pyroelectric devices. Such devices have huge range of applications in fire alarms, heat sensors, infrared detectors, thermal imaging, gas analysis and so on. In the present study, the pyroelectric Lead Zirconium Titanate (PZT) thick films grown using modified sol-gel approach have been used for pyroelectric energy conversion. The effect of annealing temperature (450 °C, 450 °C and 650 °C) on the growth of PZT films has been monitored by investigating their dielectric, ferroelectric and pyroelectric properties. An appreciable enhancement in saturation and remnant polarizations from 17μC cm−2 to 24μC cm−2

P

s

and 13μC cm−2 to 22
μC cm−2

P

r

has been obtained when annealed temperature is increased from 550 °C to 650 °C respectively. A visible change in dielectric constant is also observed from 207 to 325 from dielectric constant–frequency curves with very small change in dielectric losses from 0.06 to 0.10 with increase in the annealing temperature from 550 °C to 650 °C at 1 MHz. The pyro electric coefficient and figure of merit are found to increase from 25 × 10−3 Cm−2K−1 to 230 × 10−3 Cm−2K−1 (p) and from 2.2 m2C−1 to 20 m2C−1 for the optimized PZT thick film based pyroelectric device with increase in the external DC bias field from 0.5 V to 2.5 V. The enhanced results of pyroelectric coefficient and figure of merit achieved in the present work are good indication of electrical energy harvesting through pyroelectricity.
B and Ga Co-Doped Si1−xGex for p-Type Source/Drain Contacts
Authors: Rengo Gianluca , Porret Clement , Hikavyy Andriy , Rosseel Erik , Ayyad Mustafa , Morris Richard J. H. , Khazaka Rami , Loo Roger , Vantomme André
Published: February 2022

Contact resistivity reduction at the source/drain contacts is one of the main requirements for the fabrication of future MOS devices. Current research focuses on methods to increase the active doping concentration near the contact region in silicon-germanium S/D epilayers. A possible approach consists in adding co-dopants during the epitaxy process. In the case of p-MOS, gallium can be used in addition to boron. In this work, the properties of in situ Ga and B co-doped Si0.55Ge0.45 layers are discussed. The surface morphologies, layer compositions, structural and electrical material properties are described and compared with those of a B-doped Si0.55Ge0.45 reference layer. Ga segregation occurring at the growth surface is evidenced. Post-epi surface cleans are required to obtain the correct Ga profiles in the Si1−xGex layers from secondary ion mass spectrometry, otherwise altered by surface Ga knock-on. The layer morphologies, crystalline quality and electrical properties show a progressive degradation with increasing Ga dose. Finally, specific titanium-Si1−xGex:B(:Ga) contact resistivity values have been extracted using the multi-ring circular transmission line method. The contact resistivity is lower for the Ga co-doped samples, the best contact properties ( < 3 × 10−9 Ω.cm2) being obtained for the sample grown with the lowest Ga-precursor flow.
Investigation of using CNT and Cu/CNT Wires for Replacing Cu for Power Electronics and Electrical Applications
Authors: Robert Femi , Prince A. Amalin , Fredo A. R. Jac
Published: February 2022

The demand for power electronics increases continuously with the technological development. The next-generation power electronic converter circuits and electrical power system demands for sustainable, highly efficient and higher functionality material which should outperform Cu. In future electrical systems, Cu transmission cables and windings would be replaced by Carbon Nanotubes (CNTs) and Cu/CNT composite. This paper presents the investigation of using CNT and Cu/CNT wires for replacing Cu for power electronics and electrical applications. Conducting wire made of Cu, Cu/CNT composite and CNT are considered. Frequency domain electromagnetic analysis is carried out to obtain the performance parameters such as magnetic flux density, current density, impedance, voltage, power, resistance losses, inductance and AC resistance at the current of 1 A supplied with the frequency of 50 Hz. Finite Element Modelling (FEM) simulation is carried out using COMSOL Multiphysics. The frequency of the supply current is also varied from 50 Hz to 5 MHz. The analysis shows that Cu/CNT is performing close to Cu in terms of electromagnetic parameters. Thermal analysis is also carried out by varying the current from 1 A to 35 A. CNT conductors produces lowest temperature and perform better in terms of electro-thermal parameters.
Evaluation of Tresiba Combined with Six Ingredient Rehmannia Pill in the Treatment of Type 2 Diabetes
Authors: Li Jun , He Qingzhen
Published: February 2022

Objective. Insulin replacement therapy is the main treatment method for type 1 diabetes, and adjuvant comprehensive treatment to reduce the complications of diabetes is still the focus of research. The purpose of this study is to explore the clinical efficacy of Tresiba combined with Ingredient Rehmannia Pill in the treatment of type 1 diabetes. Methods. A total of 216 patients with type 2 diabetes admitted to our hospital from January 2019 to July 2019 were enrolled in this study. Patients in the control and observation groups were treated with Tresiba and Tresiba combined with Ingredient Rehmannia Pill, respectively. The change of TCM symptom score, blood glucose level and fasting insulin level before and after treatment were evaluated, and the insulin resistance index was calculated to observe the adverse reactions of patients. Results. After treatment, the TCM syndrome scores of the two groups decreased significantly, and the TCM syndrome scores of the observation group were significantly lower than those of the control group. The fasting blood glucose, 2 h postprandial blood glucose and insulin resistance index of the observation group were lower than those of the control group. The levels of FBG, 2 hBG and HbA1C in the observation group were significantly lower than those in the control group. The total effective rate of the observation group was 91.7%, which was significantly higher than that of the control group (77.1%). The adverse reactions of patients in the observation group were slightly more than those in the control group. Conclusion. Our study demonstrated that Ingredient Rehmannia Pill combined with Tresiba is effective in the treatment of type 2 diabetes, providing alternative therapies for the treatment of diabetes.
A Risk Score Signature Consisting of Six Immune Genes Predicts Overall Survival in Patients with Lower-Grade Gliomas
Authors: Wu Yuxi , Peng Zesheng , Gu Sujie , Wang Haofei , Xiang Wei
Published: February 2022

Background. Lower-grade gliomas (LGGs) are less aggressive with a long overall survival (OS) time span. Because of individualized genomic features, a prognostic system incorporating molecular signatures can more accurately predict OS. Methods. Differential expression analysis between LGGs and normal tissues was performed using the Gene Expression Omnibus (GEO) datasets (GSE4290 and GSE12657). Immune-related differentially expressed genes (ImmPort-DEGs) were analyzed for functional enrichment. The least absolute shrinkage and selection operator (LASSO) analysis was performed to develop an immune risk score signature (IRSS). We extracted information from the Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) to establish and validate the model. The relationship of model gene sets with immune infiltration was analyzed based on gene set variation analysis (GSVA) scores. Patients were divided into low- and high-risk groups based on the median score. The time-dependent receiver-operating characteristic (ROC) curve and the Kaplan-Meier curve were used to evaluate the model. Then, a precise prognostic nomogram was established, and its efficacy was verified. Results. A total of 18 related immune genes were identified, building a 6-gene IRSS (BMP2, F2R, FGF13, PCSK1, PRKCB, and PTGER3). DEGs were enriched in T cell and NK cell regulatory pathways. Immune infiltration analysis confirmed that the gene signature correlated with a decrease in innate immune cells. In terms of model evaluation, ROC curves at 1, 3, and 5 years showed moderate predictive ability of IRSS (

AUC
=
0.930

, 0.797, and 0.728). The Cox regression analysis revealed that IRSS was an independent prognostic factor, and the nomogram model had good predictive ability (

C
−
index
=
0.828

). Meanwhile, the predictive power of IRSS was also confirmed in the training cohort. The Kaplan-Meier results showed that the prognosis of the high-risk group was significantly worse in all cohorts. Conclusion. IRSS may serve as a novel survival prediction tool in the classification of LGG patients.
Screening of Potential Biomarkers in the Peripheral Serum for Steroid-Induced Osteonecrosis of the Femoral Head Based on WGCNA and Machine Learning Algorithms
Authors: Zhang Jian , Huang Chi , Liu Zehan , Ren Shuai , Shen Zilong , Han Kecheng , Xin Weiguang , He Guanyi , Liu Jianyu
Published: February 2022

Background. Steroid-induced osteonecrosis of the femoral head (SONFH) has produced a substantial burden of medical and social experience. However, the current diagnosis is still limited. Thus, this study is aimed at identifying potential biomarkers in the peripheral serum of patients with SONFH. Methods. The expression profile data of SONFH (number: GSE123568) was acquired from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in SONFH were identified and used for weighted gene coexpression network analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to investigate the biological functions. The protein-protein interaction (PPI) network and machine learning algorithms were employed to screen for potential biomarkers. Gene set enrichment analysis (GSEA), transcription factor (TF) enrichment analysis, and competing endogenous RNA (ceRNA) network were used to determine the biological functions and regulatory mechanisms of the potential biomarkers. Results. A total of 562 DEGs, including 318 upregulated and 244 downregulated genes, were identified between SONFH and control samples, and 94 target genes were screened based on WGCNA. Moreover, biological function analysis suggested that target genes were mainly involved in erythrocyte differentiation, homeostasis and development, and myeloid cell homeostasis and development. Furthermore, GYPA, TMCC2, and BPGM were identified as potential biomarkers in the peripheral serum of patients with SONFH based on machine learning algorithms and showed good diagnostic values. GSEA revealed that GYPA, TMCC2, and BPGM were mainly involved in immune-related biological processes (BPs) and signaling pathways. Finally, we found that GYPA might be regulated by hsa-miR-3137 and that BPGM might be regulated by hsa-miR-340-3p. Conclusion. GYPA, TMCC2, and BPGM are potential biomarkers in the peripheral serum of patients with SONFH and might affect SONFH by regulating erythrocytes and immunity.
Therapeutic Effects of Milk Thistle (Silybum marianum L.) and Artichoke (Cynara scolymus L.) on Nonalcoholic Fatty Liver Disease in Type 2 Diabetic Rats
Authors: Doostkam Aida , Fathalipour Mohammad , Anbardar Mohammad Hossein , Purkhosrow Azar , Mirkhani Hossein
Published: February 2022

Background. At present, nonalcoholic fatty liver disease (NAFLD) does not have an approved pharmacologic therapy. The present study investigated the protective effects and possible mechanisms of milk thistle (Silybum marianum L.) and artichoke (Cynara scolymus L.) in treating NAFLD in type 2 diabetic rats. Methods. The NAFLD was established in rats after four weeks of type 2 diabetes induction. The animals were treated with pharmaceutical preparations of milk thistle (Livergol®) and artichoke (Atheromod-B®) extracts for eight weeks. After the end of the intervention, oral glucose tolerance, the serum parameters of oxidative stress, liver functional tests, and lipid profiles were evaluated. Histopathological changes were assessed by hematoxylin and eosin staining. Results. Treatment with preparations of milk thistle and artichoke nonsignificantly improved glucose tolerance in diabetic rats. Both preparations significantly improved serum superoxide dismutase activity and the level of malondialdehyde. Although treatment with milk thistle reduced serum activity of aspartate aminotransferase and serum levels of triglyceride (TG), total cholesterol, and low-density lipoprotein-cholesterol, artichoke extracts only attenuated the serum level of TG. Milk thistle also effectively protected the liver from histological changes. Conclusions. Milk thistle could be a promising pharmacological option for the treatment of NAFLD. Nonetheless, long-term randomized clinical trials are necessary to confirm the observed results.
Research on the Integration and Development of Ecotourism Industry and Sports Health Industry under the Background of Rural Revitalization Strategy
Authors: Zhao Xiaoxiao
Published: February 2022

With the growth of people’s consumption demand and the popularization of transportation, ecotourism has gradually entered people’s vision and become a fashionable choice for people’s leisure. Since the reform and opening up, tourism has increasingly become a popular and popular form of consumption. It appears in people’s life and has the characteristics of personalization, leisure, and diversification. Based on the understanding of the current situation of the integrated development of ecotourism and sports tourism, this paper discusses the integrated development strategy of the ecotourism industry and sports health industry. As an important content and component of rural industry, it is very necessary to promote the better development of ecotourism. It is also an important task to implement the Rural Revitalization Strategy. It has important value and significance for improving the rural industrial structure and promoting rural economic development. The purpose of this study is to promote the coordinated development of the ecotourism and sports health industry and to provide help for the stable development of tourism in the market competition environment.
Bone Marrow Infiltration Is a Distinctive Risk Factor for Rituximab Infusion-Related Reactions in CD20-Positive B-Cell Non-Hodgkin Lymphoma
Authors: Ohata Shinya , Takenaka Kei , Sugiyama Daisuke , Sugimoto Takeshi
Published: February 2022

Background. Bone marrow infiltration of lymphoma cells is a candidate risk factor for infusion-related reactions (IRRs) in patients with CD20-positive B-cell non-Hodgkin lymphoma (B-NHL). However, despite with the lack of sufficient data, the effect of bone marrow infiltration of B-NHL cells on the incidence rate of grade 2 or higher IRRs with the administration of rituximab has been retrospectively studied in this paper. Methods. Patients with CD20-positive B-NHL who received the rituximab induction therapy for the first time were enrolled in this study. To evaluate the bone marrow infiltration of B-NHL cells, May–Giemsa stain of bone marrow films and flow cytometry examination of bone marrow aspiration samples were performed. IRR grade was determined using the IRR criteria in the Common Terminology Criteria for Adverse Events version 4.0. Results. A total of 127 patients were eligible for this study. Grade 2 or higher IRRs were observed in 43 (34%) patients. In univariate analysis, use of glucocorticoid before rituximab infusion was a strong risk-avoiding factor for grade 2 or higher IRRs. Advanced stage of disease (Ann Arbor: stages III and IV) or bone marrow infiltration of B-NHL cells revealed the risk factors, regardless of glucocorticoid premedication. Using multivariate analysis, bone marrow infiltration was found to be an independent risk factor for patients without prior glucocorticoid use. Conclusion. Bone marrow infiltration of B-NHL cells is a risk factor for grade 2 or higher IRRs at the first rituximab induction therapy without glucocorticoid premedication.
Graphic Composition Art of Packaging Visual Communication Design Based on VR
Authors: Wang Yanna
Published: February 2022

Visual communication is a popular art form that aids in the transmission of information and reflects people’s aesthetic preferences. In visual communication, the graphic element is an important combination element that plays a key role. Virtual reality (VR) technology will become more widely used as computer technology advances and network applications become more popular. As a result, research into VR technology generation and application in packaging design will aid in the popularization and application of VR technology, as well as the advancement of product packaging design. The application of graphic composition art in packaging visual communication design is investigated in this paper. This paper introduces the basic concepts and characteristics of virtual reality (VR), as well as the development and application fields of VR technology, based on the current state of virtual panorama development at home and abroad. It also provides advice and recommendations on graphic creativity in VR technology packaging design, as well as the symbol of graphic creativity and the value of graphic composition art in packaging visual communication design.
Enhanced Generation of Human Induced Pluripotent Stem Cells from Peripheral Blood and Using Their Mesoderm Differentiation Ability to Regenerate Infarcted Myocardium
Authors: Kim Ju-Young , Yang Han-Mo , Lee Joo-Eun , Jeon Mika , Bang Sang-Bum , You Jihye , Kim Joonoh , Lee Jaewon , Hur Jin , Kim Hyo-Soo
Published: February 2022

Тhe most pressing issue in generating induced pluripotent stem cells (iPSCs) in clinical practice is the cell source. Compared to human dermal fibroblasts (HDFs), which have been widely used, human peripheral blood could be a more easily obtainable alternative. However, iPSCs generated from fresh peripheral blood require inconvenient specific methods including isolation. Recently, we succeeded in isolating and culturing human heart-derived circulating cells called circulating multipotent stem (CiMS) cells. Here, we investigated the generation efficiency of CiMS-derived iPSCs (CiMS-iPSCs) and tested their differentiation potential into mesodermal lineages and cardiovascular cells. We isolated and cultured CiMS cells from peripheral mononuclear cells with a high efficiency. Moreover, our method succeeded in reprogramming the CiMS cells and generating iPSCs with higher efficiency compared to when HDFs were used. Compared to HDF-iPSCs or human embryonic stem cells (hESCs), CiMS-iPSCs showed high differentiation potential into mesodermal lineage cells and subsequently into endothelial cells, vascular smooth muscle cells, and cardiomyocytes. Further, we checked the epigenetic status of each cell type. While methylation of the CpG site of the brachyury T promoter did not differ between cell types, the histone H3 lysine 4 trimethylation level in the brachyury T promoter region was enhanced in CiMS-iPSCs, compared to that in other cell types. In contrast, histone H3 lysine 9 acetylation was downregulated during the differentiation process of the CiMS-iPSCs. In the myocardial infarction model, the CiMS-iPSCs group showed more therapeutic potential in regenerating the myocardium than other cell types. Our study showed a new method to isolate human heart-derived stem cells from human peripheral blood and to generate iPSCs efficiently. Due to epigenetic memory, these CiMS-iPSCs easily differentiated into cardiovascular lineage cells, resulting in improved efficiency in vivo. These results suggest that our new method using CiMS cells has therapeutic potential in regenerative medicine using cell therapy.
The Application of the Combination of Virtual and Reality in the Film Space Performance
Authors: Wang Yi , Cheng Yidong
Published: February 2022

In order to improve the effect of film space performance, this paper applies the combination of virtual and reality to the film space performance processing. Moreover, this paper analyzes the light field distribution of the three-dimensional object in space, and modulates the projected image projected on it with the spectral characteristics of the optical screen to finally restore the light field of the original object. In addition, this paper uses the multi-projection method to study the recovery process of the cylindrical microlens array screen to the light field, and divides and reorganizes the multi-view image of the scene shot by the camera array to obtain the correct projected image. Finally, this paper applies the space processing algorithm based on the combination of virtual and reality to the film space performance processing, and uses experimental research to verify the reliability of the method proposed in this paper.
Wireless Communication-Based Design and Implementation of Digital Protection Platform on Folk Art
Authors: Gong Longyu
Published: February 2022

Numbers no longer only have a purely mathematical meaning but a code that can change the way of human existence, cognition, and thinking, and a basic element to convey information. With the advent of the “Internet+” era, the development of digital media technology, digitization, and informatization has been integrated into all walks of life and has a vital impact on the development of all walks of life, and also brought about the ideological change of fine arts. Nowadays, the digitization of fine arts is a new product of the computer age, and how to protect it is also an important topic. The continuous development of wireless mobile communications has promoted the rapid development of microprocessors. In this article, we will study the protective effect of microprocessors on the digitization of fine arts. This paper designs a microprocessor-based art digital protection website, with the purpose of preserving, inheriting, and disseminating folk art works through the website. The result of the experiment shows that the sampling rate of the microprocessor has reached the requirement of the signal. The largest number of users of the folk art digital website is young people aged 18–29, accounting for 32%; the highest average score for the website is those over 59 years old, with an average score of 90.
Vertex‐Edge‐Degree‐Based Topological Properties for Hex‐Derived Networks
Authors: Ahmad Ali , Imran Muhammad
Published: February 2022

A topological index can be focused on uprising of a chemical structure into a real number. The degree‐based topological indices have an active place among all topological indices. These topological descriptors intentionally associate certain physicochemical assets of the corresponding chemical compounds. Graph theory plays a very useful role in such type of research directions. The hex‐derived networks have vast applications in computer science, physical sciences, and medical science, and these networks are constructed by hexagonal mesh networks. In this paper, we determined the exact values of vertex‐edge‐degree‐based topological descriptors for hex‐derived networks HDN1(p) and HDN2(p), which are generated by the hexagonal network of dimension p.
Design and Evaluation of Web-Based Dental Implant Registry (DIR) for Better Clinical Outcomes
Authors: Naemi Roya , Jangi Majid , Barikani Hamid Reza , Shahmoradi Leila
Published: February 2022

Introduction. Identification of dental implant system in undocumented patients is a major challenge for dentists due to the vast variety of tools and technologies that are used in dental care. It also takes a long time to identify the type of connection or length and diameter of implant. To obtain accurate and timely information, it is necessary to have a Dental Implant Registry (DIR). In the present study, a DIR was designed, developed, and evaluated at the Dental Implant Research Center of Tehran University of Medical Sciences. Materials and Methods. This is an applied, developmental, and cross-sectional study that was conducted between 2018 and 2020. In the present study, after determining the objectives of DIR system, its conceptual model was designed by EDraw Max 7.9 software. Then, the registry was developed in Visual Studio 2018 environment with the C# programming language and, finally, it was evaluated by Nielsen’s ten principles of usability assessment. Results. After creating the registry, its data entry search and report functions were tested. Also, in the exploratory evaluation, the highest number of problems related to the principles of system clarity and compatibility between the system and real world was identified. Conclusion. The web-based DIR created in C# programming language has the ability to gather data, provide report with different access levels, and send text messages to patients for follow-up. This tool enables physicians to quickly identify the components of dental implant. The web-based DIR also provides support for health research, quality assessment, and dental performance assessment.
A Divergence-Based Medical Decision-Making Process of COVID-19 Diagnosis
Authors: Farhadinia Bahram
Published: February 2022

This study is concerned with introducing a class of parametric and symmetric divergence measures under hesitant fuzzy environment. The proposed divergence measures have several interesting properties which make their use attractive. In order for exploring the features of proposed divergence measures for hesitant fuzzy sets (HFSs), we compare them with other existing ones in terms of divergence-initiated weighs and counter-intuitive cases. In the process of comparison, we first modify the conventional framework of hesitant fuzzy additive ratio assessment (HFARAS) using the proposed divergence measures, and then, the superiority of proposed measures is further demonstrated in a COVID-19 case study. There, we notify that the other existing divergence measures may not provide satisfactory results.
The Roles of circRNAs in Intervertebral Disc Degeneration: Inflammation, Extracellular Matrix Metabolism, and Apoptosis
Authors: Li Hao , Tian Lijun , Li Jianhua , Li Yongjin , Du Lilong , Huo Zhenxin , Xu Baoshan
Published: February 2022

Low back pain (LBP) is seriously harmful to human health and produces heavy economic burden. And most scholars hold that intervertebral disc degeneration (IDD) is the primary cause of LBP. With the study of IDD, aberrant expression of gene has become an important pathogenic factor of IDD. Circular RNAs (circRNAs), as a kind of noncoding RNA (ncRNA), participate in the regulation of genetic transcription and translation and further affect the expression of inflammatory cytokine, metabolism of extracellular matrix (ECM), the proliferation and apoptosis of cells, etc. Therefore, maybe it will become a new therapeutic target for IDD. At present, our understanding of the mechanism of circRNAs in IDD is limited. The purpose of this review is to summarize the mechanism and related signaling pathways of circRNAs in IDD reported in the past. Particularly, the roles of circRNAs in inflammation, ECM metabolism, and apoptosis are emphasized.
Plasma Diaphanous Related Formin 1 Levels Are Associated with Altered Glucose Metabolism and Insulin Resistance in Patients with Polycystic Ovary Syndrome: A Case Control Study
Authors: Li Xing , Liao Mingyu , Shao Jiaqing , Li Weixin , Shi Liu , Wang Dong , Ni Juan , Shen Qiuyue , Yang Fan , Peng Guiliang , Zhou Ling , Zhang Yuling , Sun Zheng , Zheng Hongting , Long Min
Published: February 2022

Background. Diaphanous related formin 1 (DIAPH1) is a novel component of advanced glycation end product (AGE) signal transduction that was recently found to participate in diabetes-related disorders, obesity, and androgen hormones. We investigated whether plasma DIAPH1 levels were a potential prognostic predictor for polycystic ovary syndrome (PCOS). Methods. The levels of circulating plasma DIAPH1 and indicators of glucose, insulin, lipid metabolism, liver enzymes, kidney function, sex hormones, and inflammation were measured in 75 patients with PCOS and 77 healthy participants. All of the participants were divided into normal-weight (NW) and overweight/obese (OW) subgroups. Statistical analyses were performed with R studio. Results. PCOS patients manifested hyperandrogenism, increased luteinizing hormone/follicle-stimulating hormone (LH/FSH), and accumulated body fat and insulin resistance. Plasma DIAPH1 levels were significantly decreased in women with PCOS compared to control participants, and DIAPH1 levels were distinctly reduced in OW PCOS compared to OW control subjects (

P
<
0.001

). DIAPH1 levels correlated with fasting blood glucose (FBG), total cholesterol (TC), the homeostasis model assessment of β-cell function (HOMA-β), and LH/FSH in all participants (FBG:

r
=
0.351

,

P
<
0.0001

; TC:

r
=
0.178

,

P
=
0.029

; HOMA-β:

r
=
−
0.211

,

P
=
0.009

; LH/FSH:

r
=
−
0.172

,

P
=
0.040

). Multivariate logistic regression analysis revealed that plasma DIAPH1 levels were an independent risk factor for PCOS. A model containing DIAPH1, BMI, FBG, and testosterone was constructed to predict the risk of PCOS, with a sensitivity of 92.0% and a specificity of 80.9%. A nomogram was constructed to facilitate clinical diagnosis. Conclusions. These findings suggest the association of plasma DIAPH1 with glucose metabolism, insulin resistance, and sex hormones and support DIAPH1 as a potential predictive factor for PCOS.
Expression Profile and Prognostic Values of CDH Family Members in Lung Adenocarcinoma
Authors: Li Feng , Wan Bin , Li Xiao-qing
Published: February 2022

Many studies have confirmed that the classical cadherin (CDH) gene family may be involved in the development and progression of various tumors. However, the comprehensive assays of CDH family members in lung adenocarcinoma (LUAD) were rarely reported. In this study, our group analyzed TCGA datasets and identified 18 dysregulated CDH members in LUAD specimens. Several CDH members exhibited an increased level in LUAD specimens, such as CDH1, CDH2, CDH3, CDH4, CDH5, CDH15, CDH16, CDH17, CDH18, CDH24, and CDH26. However, some others exhibited decreased levels in LUAD specimens. Correlation analysis revealed that most CDH members were negatively regulated by the methylation of CDH genes, leading to their low expression in LUAD tissues. Survival assays identified 16 survival-related CDH members in LUAD patients. More importantly, we further performed multivariate analysis to determine the prognostic value of the above CDH family members and found that the expression levels of CDH17, CDH19, and CDH24 were an independent prognostic biomarker of the LUAD outcome. Finally, the results of functional enrichments revealed that CDH members participated in several tumor-related pathways. Collectively, our findings suggest that CDH Family members functioned as oncogenes or antioncogenes in LUAD and may be a potential biomarker for this malignancy.