bluuebunny/crossref_metadata_2025 huggingface dataset:
Single-Phase Silicate Phosphors (Ba1.3Ca0.7−xSiO4:xDy3+) Doped with Dysprosium for White Solid-State Lighting
Authors: Golja Desta R. , Dejene Francis B. , Kim Jung Yong
Published: May 2022

Single-phase phosphors have potential advantages such as simple processability, competitive cost, and other optical and optoelectronic properties. Hence, in this study, the silicate phosphors (Ba1.3Ca0.7−xSiO4:xDy3+) doped with Dy3+ ions (x = 0.01–0.05) were synthesized and characterized in detail. X-ray diffraction patterns showed that all the silicate phosphors have a τ-phase hexagonal unit cell independent of doping. However, d-spacing was reduced for the doped samples, indicating that the interplanar interactions were enhanced. Resultantly, the doped phosphors exhibited relatively larger domains with connectivity than the host, although there were sometimes microscale pores. Photoluminescence spectra stipulated that the optimized doping concentration is x = 0.03 for the silicate Ba1.3Ca0.7-xSiO4:xDy3+ phosphors. Finally, the CIE coordinates (0.30, 0.33) confirm that the Dy3+-doped silicate phosphors are well applicable to the white light-emitting diodes for solid-state lighting and display devices.
Observation on the Effect of Shoulder Pain Caused by Volleyball Training Injury Based on MRI Image Scanning
Authors: Li Kesen , Fu Nan
Published: May 2022

In order to observe the effect of MRI image scanning on shoulder pain caused by volleyball training injury, this paper proposes to analyze the value of MR arthrography and conventional MRI image scanning in the diagnosis of shoulder injury. Taking the female volleyball players in a no. 1 middle school for nearly ten years as the research object, the injury investigation and statistics were carried out. The shoulder joint injury was investigated using arthroscopy and no injury was found. All patients underwent MR arthrography and routine MRI image scanning after admission. All patients underwent MR arthrography and routine MRI image scanning after admission. The patient took the flat lying position and put their arms flat on both sides of the body, and the Philips Achieva 3.0T MRI image scanning and Sense Flex M soft coil for MRI image scanning detection were used. The plain scan included oblique sagittal, axial, and oblique coronal proton density weighted image sequences; echo chain

ETL
=
6

, TR/TE 2300/25 ms; and oblique sagittal and oblique coronal SET1W1; TRTE is 400/10 ms. Comparison was made with regard to the sensitivity, specificity, Jordan index, and accuracy of MR arthrography versus conventional MRI imaging in the diagnosis of shoulder injuries. The results were 38 true positives, 19 true negatives, 1 false positive, and 2 false negatives; a normal MRI scan showed 33 true positives, 13 true negatives, 7 false positives, and 7 false negatives. MR arthrography is more accurate than MRI image scanners in the diagnosis of shoulder injuries.
Contextualization of Trait Nexus and Gene Action for Quantitative and Qualitative Characteristics in Indian Mustard
Authors: Chand Sumanta Prasad , Debnath Sandip , Rahimi Mehdi , Ashraf Mohd. Shaikhul , Bhatt Pankaj , Rahin Saima Ahmed
Published: May 2022

After soybean and palm oil, the world’s third largest oil seed crop is rapeseed mustard. Out of the seven consumable oil seed crops grown in India, rapeseed mustard is responsible for one-third of production. Mustard aphid (Lipaphis erysimi Kalt) is considered the primary pest causing mayhem in crop production. Understanding the genetics behind resistance will aid breeders in developing a resistant/tolerant strain. Appropriate parent selection and analyzing gene action contribute to economic benefit maximization. The aims of the current study are to use seven lines and five testers to determine the best-performing parents and crosses based on their general and specific capacity to combine and to examine the level of heterosis for yield and related features like mustard aphid resistance. Due to the self-pollination nature of Indian mustard, Kempthorne’s line X tester method is helpful to judge the combining ability. Therefore, seven lines and five testers of Indian mustard (Brassica juncea L.) were employed in the present study. The findings suggested that there was substantial genetic variation for all traits examined. The mean oil yield of R1 B2-26 × R1 B2-25, JD6 × R1 B2-25, and JD6 × R1 B2-29 hybrids was more significant than that of the ancestors. The results show that R1 B2-26 × R1 B2-25, JD6 × R1 B2-25, and JD6 × R1 B2-29 hybrids produced more oil than their parents. The variance explained by SCA was greater than that explained by GCA, as indicated by the Ϭ2 gca/Ϭ2 sca ratio being less than one for all characters, implying that nonadditive gene actions such as dominance, epistasis, and other interaction effects played an important role in the presence of these attributes. Punjab Local was discovered to be an excellent general merge for reducing crop duration, whereas JD6 was an excellent combiner for seed yield per crop, aphid infestation indicator, seed yield per crop, and oil production per plant. The predictability ratio was found to be less than 0.5 for almost all traits, denoting that the nonadditive gene measure is involved in controlling the nature except days to 50% flowering, aphid infestation index, oil content, and oil yield per plant. Thus, based on these four traits, selection for superior plants may be practiced in later generations.
[Retracted] Establishment and Verification of a Gene Signature for Diagnosing Type 2 Diabetics by WGCNA, LASSO Analysis, and In Vitro Experiments
Authors: Shao Huaming , Zhang Yong , Liu Yishuai , Yang Yan , Tang Xiaozhu , Li Jiajia , Jia Changxin
Published: May 2022

Objective. The incidence and prevalence of type 2 diabetes are increasing with age. Nevertheless, there is lack of sensitive diagnostic tools and effective therapeutic regimens. We aimed to establish and verify a practical and valid diagnostic tool for this disease. Methods. WGCNA was presented on the expression profiling of type 2 diabetic and normal islets in combined GSE25724 and GSE38642 datasets. By LASSO Cox regression analyses, a gene signature was constructed based on the genes in diabetes‐related modules. ROC curves were plotted for assessing the diagnostic efficacy. Correlations between the genes and immune cell infiltration and pathways were analyzed. BST2 and BTBD1 expression was verified in glucotoxicity‐induced and normal islet β cells. The influence of BST2 on β cell dysfunction was investigated under si‐BST2 transfection. Results. Totally, 14 coexpression modules were constructed, and red and cyan modules displayed the correlations to diabetes. The LASSO gene signature (BST2, BTBD1, IFIT1, IFIT3, and RTP4) was developed. The AUCs in the combined datasets and GSE20966 dataset were separately 0.914 and 0.910, confirming the excellent performance in diagnosing type 2 diabetes. Each gene in the model was distinctly correlated to immune cell infiltration and key signaling pathways (TGF‐β and P53, etc.). The abnormal expression of BST2 and BTBD1 was confirmed in glucotoxicity‐induced β cells. BST2 knockdown ameliorated β cell dysfunction and altered the activation of TGF‐β and P53 pathways. Conclusion. Our findings propose a gene signature with high efficacy to diagnose type 2 diabetes, which could assist and improve early diagnosis and therapy.
Markers of Inflammation, Oxidative Stress, and Fibrosis in Patients with Atrial Fibrillation
Authors: Pauklin Priit , Zilmer Mihkel , Eha Jaan , Tootsi Kaspar , Kals Mart , Kampus Priit
Published: May 2022

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in clinical practice. The pathogenesis of AF is linked to inflammatory reaction and oxidative stress, which leads to fibrosis of the atria and progression of the disease. The purpose of this study was to define the role of several biomarkers of inflammation, fibrosis, and oxidative stress (OxS). We included 75 patients with paroxysmal/persistent AF, who were admitted for electrical cardioversion or pulmonary vein isolation (PVI). High-sensitivity C-reactive protein (hsCRP), galectin-3 (Gal-3), myeloperoxidase (MPO), oxidized low-density lipoprotein (oxLDL), and N-terminal pro-brain natriuretic peptide (NT-proBNP) were measured before the procedures. We compared the results with those of 75 healthy age-, sex-, and blood pressure-matched individuals. The patients were followed up for 1 year after the intervention to establish the recurrence of AF and its association with the measured markers. Patients with AF had higher MPO (52.6 vs. 36.2 ng/ml,

p
<
0.001

) and NT-proBNP (209.0 vs. 28.0 pg/ml,

p
<
0.001

) compared to healthy subjects. Also, they showed significantly higher levels of hsCRP (1.5 vs. 1.1 mg/l,

p
=
0.001

) and Gal-3 (11.4 vs. 9.7 mg/l,

p
=
0.003

), while there was no difference found in oxLDL (71.5 vs. 71.7 U/l,

p
=
0.449

). MPO (

OR
=
1.012

,

p
=
0.014

), hsCRP (

OR
=
1.265

,

p
=
0.026

), and weight (

OR
=
1.029

,

p
=
0.013

) were independently associated with AF in a multivariable logistic regression analysis. Patients with successful maintenance of sinus rhythm (SR) for one year had lower baseline MPO (40.5 vs. 84.3 ng/ml,

p
=
0.005

) and NT-proBNP (127.5 vs. 694.0 pg/ml,

p
<
0.001

) compared to patients with recurrent AF episodes, but there was no difference in hsCRP, Gal-3, or oxLDL between them. MPO (

OR
=
0.985

,

p
=
0.010

) was independently associated with AF recurrence during the follow-up period when adjusted for cofounders. Patients with AF had increased markers of inflammation and fibrosis, while there was no increase detected in the OxS marker oxLDL. MPO was independently associated with AF in a multivariate model. Inflammatory and fibrotic mechanisms are important factors in electrical and structural remodelling progress in the atria of patients with AF.
Oxidative Potential and Nanoantioxidant Activity of Flavonoids and Phenolic Acids in Sophora flavescens
Authors: Zhu Yujie , Wang Wenle , Ruan Renyu , Chen Jinquan
Published: May 2022

In order to further develop and utilize the rutin from Sophora japonica, the contents of total phenolic acids and flavonoids in rutin extracts from different parts of Sophora flavescens were determined, and their antioxidant activities were compared, and the basis of antioxidative activity of Sophora flavescens nanometers was discussed. The experiment found that the total flavonoid content of each extract of Huai Mi was in the range of 5.70–61.55 mg/g, the total phenolic acid content was in the range of 4.07–19.10 mg/g, and the total flavonoid and phenolic acid content of the ethyl acetate extract was significantly higher than other extracts. Its reducing power, light free radicals, DPPH, ABTS+, and scavenging rate are also significantly higher than n-butanol, petroleum ether, and aqueous extracts.

∗

The cleaning ability IC50 values of DPPH· are (0.321 

±

 0.0026), (0.213 

±

 0.0010), and (0.169 

±

 0.0014) mg/mL. The effective components of Sophora japonica are initially separated after the solvent extraction of each phase. The relative content and nanoantioxidant activity of total flavonoids and phenolic acids in the ethyl acetate phase extraction part were significantly stronger than those in the total extract and other extraction parts, and the antioxidant capacity was effectively related to the dose. The flavonoids and phenolic acids in Sophora japonica are closely related to its antioxidant capacity.
Application of Convolutional Neural Network Algorithm under Deep Learning in Digital Clothing Design
Authors: Xue Xiangyi , Xue Xiangying
Published: May 2022

In order to overcome the influence of background, lighting, deformation, and other factors, using a constitutional neural network structure combined with metric learning, specifically, it includes two model structures, Siamese, and Triplet. The use of bicubic NURBS surfaces is proposed, the idea of constructing mannequins and garment pieces, the experimental results show that NURBS surface control is flexible and simple, and the calculation is stable, and it is the best surface for constructing virtual samples and avatars. Based on studying the three-dimensional structure design of clothing, based on the 10 key curves of the human body, the curve and surface interpolation algorithm is applied, by calling OpenGL related functions, the establishment of the benchmark human body model is well realized, and it lays a foundation for the deformation of the human body model based on parameters in the future.
Analyzing the Spatio-Temporal Characteristics and Influencing Factors of “AI + Education” Network Attention in China
Authors: Zhao Yulin , Li Junke , Liu Kai , Wang Jiang’e
Published: May 2022

The Internet is a tool for free expression of will, primarily reflecting the public’s willingness to pay attention. Therefore, it is of great significance to use network attention to guide the implementation of “Artificial Intelligence (AI) + Education.” First, this study takes the “AI + Education” network attention of 31 provinces and cities in China as the research object and selects the relevant data from the Baidu Index and the National Bureau of statistics from 2012 to 2020. Then, the study uses the methods of elasticity coefficient, geographical concentration index, and panel model to analyze the spatiotemporal characteristics and influencing factors of “AI + Education.” Finally, the future development trends in “AI + Education” is predicted. The results show that the time characteristics of “AI + Education” are apparent, and there are specific interannual differences. The spatial difference between “AI + Education” attention is narrowing, and the spatial balance is gradually improving. The Internet, level of economic development, education funding, and vocational education are the main factors influencing the attention of “AI + Education.” According to the forecast results, the attention to “AI + Education” in eastern and central China will generally rise in the next 2 years, while some parts of western China will slightly decline. Therefore, in the future development, national and regional governments should pay attention to the policy guidance of regional differences, strengthen the promotion of new teaching methods, and attach importance to the intelligent construction of vocational education, to promote the integrated development of AI and Education.
Optimization of Spraying Process via Response Surface Method for Fabrication of Cellulose Nanofiber (CNF) Film
Authors: Alsaiari Norah Salem , Shanmugam Kirubanandan , Mothilal Hariharan , Ali Daoud , Prabhu S. Venkatesa
Published: May 2022

Cellulose nanofiber (CNF) is a sustainable bionanomaterial which has fibril’s width varying from 5 nm to ~73 nm with an average length of 8 μm. It can be used as a base material for various functional materials such as barrier, flexible electronic substrates, and membrane etc. Though several methods such as solvent casting and vacuum filtration are available for the production of CNF film in laboratory scale, the major constraints are film formation time, shrinkage on the film, and poor uniformity. Spraying CNF suspension is one of the emerging methods which forms the film rapidly. The present investigation deals with the optimization of critical parameters such as CNF suspension concentration, velocity of the conveyor, and spray distance involved in the spraying process via central composite design (CCD) in the response surface methodology (RSM). The influence of these parameters on the basis weight and thickness of the CNF film was evaluated from the linear models. It concludes that the CNF suspension concentration is a strong parameter for controlling the basis weight and the thickness of the CNF film. The developed linear models were validated with experimental data confirming that it was a good fit. Given this correspondence, these models may be used for scaling up the spraying process for the fast production of CNF film.
Factors Affecting Behaviours of Returning E-Waste to Reverse Logistics System in Thailand
Authors: Mokkhamakkul Tartat
Published: May 2022

This study investigates the behaviour for e-waste return using theory of planned behaviour (TPB). The factors influencing intention and behaviour are explored when it comes to e-waste returns in Thailand. We included attitude, social norms, perceived behavioural control, incentives, intention, and behaviour as additional variables in the model. A survey was used to collect a sample of 412 people, and the data were statistically evaluated using structural equation modeling (SEM). Intention was not really found to be significantly associated to subjective norms However, the relationship between incentives and return intention was found out. Intention to return and behaviour of e-waste return were also found to have a substantial positive association. The findings have aided in determining the relative magnitude of variables of intention for e-waste return that lead to returning behaviour.
Effect of Diffusion-Thermo on MHD Flow of a Jeffrey Fluid Past an Exponentially Accelerated Vertical Plate with Chemical Reaction and Heat Generation
Authors: Shafique Ahmad , Nisa Zaib Un , Asjad Muhammad Imran , Nazar Mudassar , Jarad Fahd
Published: May 2022

In many flow phenomenons of fluid with medium molecular weight, the energy flux is effected due to the inhomogeneity of concentration of mass. This contribution of the concentration to the energy flux is considered as diffusion-thermo effect or Dufour effect. In this research article the diffusion-thermo effect is addressed for the magnetohydrodynamics (MHD) flow of Jeffrey’s fractional fluid past an exponentially accelerated vertical plate with generalized thermal and mass transports through a porous medium. For the generalization of the thermal and mass fluxes the constant proportional Caputo (CPC) fractional derivative is utilized. The governing of this generalized flow are reduced to non-dimensional forms and then solved semi analytically by Laplace transform. In additions the physical aspects of flow and material parameters especially the effect of

D
u

and fractional parameters are discussed by sketching the graphs. From the graphical illustration, it is concluded that in the presence of Dufour effect flow speeds up. Moreover, a comparison between fractionalized and ordinary velocity fields is also drawn and it is also observed that fractional model with constant proportional derivative is of the more decaying nature as compare to the model contracted with classical Caputo and Caputo fractional derivatives.
Simulation Study to Predict Generation Power of a Vehicle Photovoltaic System
Authors: Li Shiwu , Fu Minghao , Li Xueda , Guo Mengzhu , Li Mingyang , Yao Xueping , Ji Bingkui
Published: May 2022

The integration of solar photovoltaic (PV) power generation technology into electric vehicle (EV) charging systems is of great significance, and it is very important to analyze the influencing factors of vehicle operating parameters on the generation power of vehicle PV system. In this paper, a model is developed to predict the power generated by vehicle PV system through a combination of a Fluent simulation study and Simulink modeling. Then the generation power of vehicle PV system under 7 different vehicle speeds in different months in Northeast China is analyzed. Through the Spearman correlation analysis and multilevel function fitting of the data, the mathematical model of a vehicle PV system power is proposed. Its variation with vehicle speed is obtained, as affected by solar radiation intensity and ambient temperature. According to the mathematical model analysis, the relevant vehicle characteristics and rules for vehicle PV systems were obtained. The simulation results show that the generation power of vehicle PV system in Northeast China increases significantly with the increase of vehicle speed in summer, but does not change significantly with the increase of vehicle speed in winter.
Study on the Stabilities of RTH Tests Using the CDM Method considering Two Kinds of Systematic Errors
Authors: Peng Tianbo , Guan Jianyu , Liang Li
Published: May 2022

Real-time hybrid (RTH) test is a promising test method to investigate seismic responses of structures and is essentially a time history analysis. Therefore, an in-depth understanding of the control algorithm, such as a central difference method (CDM), is important for this method. In this paper, stabilities of the CDM considering two kinds of errors are investigated theoretically and experimentally. It turns out that the convergence criterion of the CDM cannot be changed by constant errors but can be changed by proportional errors. The lowest structural natural period to keep the results stable increases with the increase of the ratio of the displacement error to the interface displacement and the integration time step. At last, the theoretical result of the stability of the CDM considering two kinds of systematic errors are confirmed by the proposed test system with a natural rubber bearing.
Analysis of Main Movement Characteristics of Hip Hop Dance Based on Deep Learning of Dance Movements
Authors: Lu Rui
Published: May 2022

In order to explore the main action characteristics of hip hop dance, a deep learning recognition system based on dance action is proposed. The network is based on convolution, pooling, and full connection calculation in a convolutional neural network (CNN). On the one hand, the pixel information in the video frame is extracted as the network input feature in the spatial domain. On the other hand, in the time domain, in order to better represent the change characteristics of video actions, optical flow information is introduced, and the optical flow vector change of pixels in DT time is calculated by the pyramid algorithm (LK) as the time domain convolution feature. In order to evaluate the performance of the network, this article takes the recognition of dance movements as an example to test the application of the algorithm. The test dataset contains 101 fully identified dance movements. The test results show that the proposed algorithm is 10.90% higher than F1 of inception V3, and the recognition accuracy is 10.85% and 5.27% higher than that of inception V3 and 3D-CNN networks, respectively. For the problems and difficulties brought by single-mode video action recognition, a multimodal action recognition method is introduced to achieve better results based on a large number of training data. Different depth networks have different characteristics. CNN network pays more attention to the relationship between local information, so it is suitable for image recognition and detection tasks. The RNN network is expanded in the time dimension, so it is suitable for the modal information related to similar videos. Therefore, based on multimodal information and a depth neural network, a depth feature extraction and fusion method for multimodal information is designed. Different methods of feature extraction and fusion are tried in the experiment, and the experimental results are analyzed. It proves that the deep learning and recognition of dance movement can effectively explore the main movement characteristics of hip hop dance.
The Regulation and Characterization of Mitochondrial-Derived Methylmalonic Acid in Mitochondrial Dysfunction and Oxidative Stress: From Basic Research to Clinical Practice
Authors: Liu Yige , Wang Shanjie , Zhang Xiaoyuan , Cai Hengxuan , Liu Jinxin , Fang Shaohong , Yu Bo
Published: May 2022

Methylmalonic acid (MMA) can act as a diagnosis of hereditary methylmalonic acidemia and assess the status of vitamin B12. Moreover, as a new potential biomarker, it has been widely reported to be associated with the progression and prognosis of chronic diseases such as cardiovascular events, renal insufficiency, cognitive impairment, and cancer. MMA accumulation may cause oxidative stress and impair mitochondrial function, disrupt cellular energy metabolism, and trigger cell death. This review primarily focuses on the mechanisms and epidemiology or progression in the clinical study on MMA.
Data Dissemination Performance in P2P-Based Vehicular Communications for Smart City Environments
Authors: Rivero-Angeles Mario E. , Orea-Flores Izlian Y. , Lucas-Bravo Andrés , Villordo-Jiménez Iclia , Mata-Rivera Miguel F. , Macedo Santiago Luis A. , Morales-Varela Mónica L.
Published: May 2022

Peer-to-Peer (P2P) networks, as well as vehicular networks, have been extensively studied in the literature. However, the statistical characteristics of connection times among vehicles on the performance of a P2P network to allow Vehicle-to-Vehicle (V2V) communications have been largely overlooked. Specifically, the periods that vehicles remain connected to neighboring vehicles to directly communicate among them in different road characteristics (urban or highway) and road traffic conditions (low, medium, or high) are of main importance for the adequate performance of a P2P system. Indeed, these connection times establish the average number of peers and hence the bandwidth available in the communication system. These times have not been studied nor characterized before for the purpose of calculating the download probability and average download times, which are calculated in this work using a teletraffic analysis. We also present simulation results considering the CSMA/CA random access scheme established in the IEEE 802.11p communication protocol for V2V communications to investigate the effect of the random access protocol on the system performance.
Improving the Oxidation Stability and Shelf-Life of Peanut Oil by Addition of Rosemary Extract Combined with Vitamin C and Ascorbyl Palmitate
Authors: Wang Ying , Deng Hui , Huang Dachuan , Zeng Xianghui
Published: May 2022

Rosemary extracts are natural antioxidants, which can be considered an alternative for synthetic antioxidants in the food industry. The aim of the present study was to evaluate the oxidation stability and shelf-life of rosemary extracts combined with vitamin C (VC) and ascorbyl palmitate (AP) in peanut oil stored at 65°C. Peanut oil with tertbutyl hydroquinone (TBHQ) and without additives served as positive and negative controls, respectively. The peroxide value (POV), thiobarbituric acid reactant (TBARs), conjugated diene (CD), and conjugated triene (CT) values of the peanut oil samples were evaluated during accelerated storage every 48 h. Among them, 0.23 g/kg rosemary extracts combined with 0.13 g/kg VC and 0.07 mg/kg AP exhibited the best oxidative stability. Additionally, the oxidation kinetics model predicated that the rosemary extracts combined with VC and AP could effectively prolong the shelf-life of peanut oil. In accelerated storage, the rosemary extracts combined with VC and AP not only inhibited peanut oil oxidation like chemical antioxidants, but also were safer than chemical antioxidants. Therefore, the rosemary extracts combined with VC and AP were an effective alternative to chemical antioxidants, which could improve the oxidation stability and shelf-life of peanut oil.
Upregulated circTMEM59 Inhibits Cell Growth and Metastasis by miR-668-3p/ID4 Axis in Colorectal Cancer
Authors: Feng Yifei , Wang Xiaoyuan , Huang Changzhi , Zhang Dongsheng , Liu Tingwei , Zhang Chuan , Zhang Yue , Ji Dongjian , Tang Junwei , Sun Yueming
Published: May 2022

The incidence and mortality of colorectal cancer (CRC) are ranked in the top three worldwide in 2020. Abundant studies have reported that circular RNAs (circRNAs) act critical roles in the genesis and development of tumors, including CRC. Nevertheless, the roles and detailed regulation mechanisms of circRNAs that are related to the initiation and development of CRC have not been fully found and clarified. This research primarily revealed that circTMEM59 was greatly downregulated in CRC tissues and cell lines via qRT-PCR. In addition, the decreased expression of circTMEM59 was closely related to adverse clinicopathological characteristics and the shorter survival time of CRC patients. Then, a further study found that the overexpression of circTMEM59 suppressed cell growth and accelerated the cell death of CRC via a series of experiments in vitro and in vivo. Furthermore, circTMEM59 also repressed the metastatic behaviors of CRC cells. Further study revealed that circTMEM59 played the role of competing endogenous RNAs (ceRNAs) by binding to miR-668-3p to increase the expression of inhibitor of DNA binding 4 (ID4) in CRC. In summary, the results of this study clarified the antitumor effects of circTMEM59/miR-668-3p/ID4 axis in CRC progression and provided potential therapeutic targets and clinical prognostic markers for CRC.
Research on Electronic Information Feature Extraction and Classification Recognition Algorithm Based on Deep Learning
Authors: Li Jingmin
Published: May 2022

In order to make up for the shortcomings of traditional electronic information characteristics and classification recognition algorithms and improve the application ability of the technology, a special extraction algorithm based on the performance of deep multilayer autoencoders is required, and the training of deep learning network model is not supervised with pretraining and the supervision of the margin-based Fisher guidelines. The regularization means in the process of data generating pretraining and carving will prevent the prefining training. Experimental results on multiple data distributions further determine the efficiency of the algorithm. By analyzing the depth learning model, the image information in electronic information is used as an example, and its extraction technology is discussed, and the direction is indicated further. The experimental results show that the acceptance performance of the DMFA algorithm is improved in some cases compared with similar algorithms. And in Ionosphere, PIMA, IRIS Data Set this algorithm acquires the improvement effect, but the results obtained in other data sets are not ideal, thereby obtaining the most use of electronic information feature extraction and classification recognition.
Continuous Infusion of Iohexol to Monitor Perioperative Glomerular Filtration Rate
Authors: Jakobsen Kjellbjørn , Eriksen Bjørn O. , Fuskevåg Ole M. , Hodges Stephen J. , Ytrebø Lars M.
Published: May 2022

Continuous monitoring of the glomerular filtration rate (GFR) in the perioperative setting could provide valuable information about acute kidney injury risk for both clinical and research purposes. This pilot study aimed to demonstrate that GFR measurement by a continuous 72 hrs iohexol infusion in patients undergoing colorectal cancer surgery is feasible. Four patients undergoing robot-assisted colorectal cancer surgery were recruited from elective surgery listings. GFR was determined preoperatively by the single-sample iohexol clearance method, and postoperatively at timed intervals by a continuous iohexol infusion for 72 hrs. Plasma concentrations of creatinine and cystatin C were measured concurrently. GFR was calculated as (iohexol infusion rate (mg/min))/(plasma iohexol concentration (mg/mL)). The association of the three different filtration markers and GFR with time were analysed in generalized additive mixed models. The continuous infusion of iohexol was established in all four patients and maintained throughout the study period without interfering with ordinary postoperative care. Postoperative GFR at 2 hours were elevated compared to the preoperative measurements for patients 1, 2, and 3, but not for patient 4. Whereas patients 1, 2, and 3 had u-shaped postoperative mGFR curves, patient 4 demonstrated a linear increase in mGFR with time. We conclude that obtaining continuous measurements of GFR in the postoperative setting is feasible and can detect variations in GFR. The method can be used as a tool to track perioperative changes in renal function.
The Impact of the Development of 5G Technologies on the Ideological and Political Education of College Students
Authors: Qiang Lixian
Published: May 2022

Poor teaching effectiveness is currently a major concern in China’s colleges and universities. The Fifth Generation (5G) Internet era has ushered in significant changes in lifestyle, culture, and work, and its convenience and efficacy have supported civilization’s rapid progress. It has brought with it a host of difficulties, as well as new changes and benefits for university students’ ideological and political education (IPE). However, the openness and dispersion of the Internet have certain negative consequences, particularly in terms of IPE in institutions, where the consequences are severe. We propose a 5G-based IPE in this paper. In the opening, we collect the dataset to initialize the proposed flow. The collected dataset can be preprocessed using normalization. After the input education details have been preprocessed, the education detail is grouped by utilizing the Hierarchical K-means (HK) technique. The aspects can then be extracted using the variational autoencoder (VAE). After it has been reviewed for viability, the data can be stored in a database for future research. Then, using the Boosted TCP (BTCP) protocol, the workable data can be sent to the identity of the student and also the BTCP used to convert data effectively. The presentation of this protocol improved using Enhanced fruit fly optimization (EFFO). Performances such as throughput, good-put, transmission rate, and execution time are discussed, and the results are compared to those of other studies.
Diagnostic Value of Echocardiography Combined with Serum h-FABP and cTnI in Myocardial Infarction and Its Evaluation Value in Left Ventricular Function
Authors: Miao Yanling , Liu Ying , Liu Chao , Yao Lei , Kang Xiaoning , Lv Maoting
Published: May 2022

Objective. To explore the value of color Doppler echocardiography (CDE) combined with serum heart-type fatty acid-binding protein (h-FABP) and cardiac troponin I (cTnI) in the diagnosis of myocardial infarction and its evaluation value in left ventricular function. Methods. A total of 44 patients with myocardial infarction who were treated in Cangzhou Central Hospital from October 2018 to February 2020 were included in the observation group, and 45 healthy subjects were included in the control group. The serum h-FABP and cTnI levels of the two groups were compared and analyzed. The coincidence rate of echocardiography plus serum h-FABP and cTnI for single diagnosis and combined diagnosis was analyzed. The left ventricular function indexes of patients with myocardial infarction in different cardiac function grades were compared, including left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), left ventricular end-systolic volume (LVESV), left ventricular end-diastolic volume (LVEDV), stroke volume (SV), cardiac index (CI), and the ratio of peak velocity blood flow from left ventricular relaxation in early diastole to peak velocity flow in late diastole (E/A). The value of echocardiography combined with serum h-FABP and cTnI in the left ventricular function in patients with myocardial infarction was analyzed. Results. The levels of serum h-FABP and cTnI in the observation group were significantly higher than those in the control group (

P
<
0.05

). CDE plus serum h-FABP and cTnI was associated with significantly higher sensitivity, specificity, and accuracy in diagnosing myocardial infarction versus single detection (

P
<
0.05

). The LVEDV, SV, and CI parameters were similar in patients with different cardiac function grades (

P
>
0.05

). Compared with cardiac function grades I and II, the level of LVEF in patients with myocardial infarction in grades III and IV of cardiac function decreased, while the levels of LVEDD, LVESD, LVESV, and E/A increased (

P
<
0.05

). The levels of serum h-FABP and cTnI in patients with myocardial infarction increased with the increase of cardiac function grades (

P
<
0.05

). Conclusion. Patients with myocardial infarction show high levels of h-FABP and cTnI, and CDE plus the detection of serum h-FABP and cTnI levels can significantly improve the detection accuracy and effectively evaluate the left ventricular function of patients with myocardial infarction, with a certain predictive value for cardiac function grading in myocardial infarction.
Learning the Correlations between IoT Systems Consisting of Massive Sensors
Authors: Jia Shuze , Ma You , Xue Juan , Zhu Aijun
Published: May 2022

An IoT system often consists of many sensors to collect data in different aspects. Meanwhile, all these sensors describe the IoT system’s functional status, to which it belongs. The correlations between subsystems are always emphasized for a complex system that contains several IoT subsystems. At the same time, there are still no good ways to calculate these types of correlations since that (1) multiple sensors describe an IoT system as a matrix while the correlation between matrices cannot be calculated by the traditional methods (i.e., vector ways such as Pearson correlation coefficient) and (2) AI methods such as neural networks were introduced to resolve this problem; however, these black-box approaches cannot explain the mathematical mechanisms, and lots of memory or time are consumed. This paper proposed a novel approach named the matrix-oriented correlation computing method (MOCC) to learn the correlations between IoT systems. The critical problem of this proposed method is calculating the correlation between two curved surfaces, which are modeled as matrices, since an IoT system often contains many sensors which characterize different aspects of this system and continuously generate data in time series. By our MOCC method, the correlation or interaction between any two subsystems can be accurately measured, which means that we can predict the state of a system by its most important related system. Missing data value prediction based on our MOCC method is also presented in this paper. We verified the efficiency and effect of our proposed method via a satellite, a typical IoT system consisting of massive sensors, and the experimental result was proved to outperform existing methods.
Morus alba L. for Blood Sugar Management: A Systematic Review and Meta-Analysis
Authors: Jeong Hye In , Jang Soobin , Kim Kyeong Han
Published: May 2022

Introduction. Morus alba L. is used for blood sugar management in patients with diabetes mellitus. This review aimed to evaluate the effect of Morus alba on blood sugar management. Methods. This review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). We searched PubMed, EMBASE, and four Korean medical databases (RISS, OASIS, NDSL, and KISS) using relevant keywords. Randomized controlled trials with any type of control intervention were included. The selection of studies, data extraction, and quality assessment were performed independently by two researchers. Results. Our results showed that Morus alba can reduce postprandial glucose and insulin levels. However, it is insufficient to conclude that Morus alba is an effective intervention for lowering blood glucose levels. Therefore, more rigorous studies are needed to reveal the effect of MA on blood glucose levels. Conclusion. The conclusion of this review provides evidence that Morus alba can control blood sugar level. This systematic review was registered with the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42021255940).
Modeling of Legal Protection of Network Broadcasting Right of Sports Events Based on Data Technology
Authors: Wang Yan , Tan Yujiao , Kong Ruiyun
Published: May 2022

In order to avoid the influence of uncertain factors on the network broadcasting of sports events, a legal protection model of network broadcasting right of sports events based on data technology is proposed. Based on the network broadcasting right of sports events itself, this paper analyzes the subject and object of the network broadcasting right of sports events, and establishes a “three-step” trial thinking model. Deploy the legal protection risk monitoring micro base station and integrate the data technology gateway module through data technology to complete the data collection of legal protection risk. After data standardization, establish the legal protection risk evaluation index system, obtain the comprehensive score of each risk index of sports events by using the principal component analysis method, and input data technology to realize the legal protection modeling of broadcasting rights. The experimental results show that this method has good risk prediction performance of legal protection of network broadcasting rights of sports events, the predicted value is almost consistent with the actual value, and has good protection effect.
Effect of 3D Slicer Preoperative Planning and Intraoperative Guidance with Mobile Phone Virtual Reality Technology on Brain Glioma Surgery
Authors: Liu Jun , Li Xiaodong , Leng Xueping , Zhong Bo , Liu Yanhong , Liu Liang
Published: May 2022

Objective. To explore the effect of 3D Slicer preoperative planning and intraoperative guidance with mobile phone virtual reality (VR) technology on brain glioma surgery. Methods. By means of retrospective study, the data of 77 brain glioma patients treated in the neurosurgery departments at The Second Affiliated Hospital of Wannan Medical College and Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2015 to January 2022 were analyzed, and the patients were divided into the experimental group (EG, n = 38) and the control group (CG, n = 39) according to the surgical modalities. Before surgery, all patients received positron emission tomography‐computed tomography (PET/CT) scanning and magnetic resonance imaging (MRI) examination. For patients in EG, the DICOM format images acquired from PET‐CT and MRI examinations were imported with the 3D Slicer software for 3D visual fusion reconstruction, acquiring VR images, and developing detailed preoperative planning. Then, the reconstructed images were imported into the Sina software on a mobile phone, and the surgery was performed with the assistance of VR technology; for patients in CG, traditional 2D images were used for tumor contour drawing by the subjective visual method, and the craniotomy was performed under a traditional microscope. Patients’ surgery indicators and Karnofsky Performance Scale (KPS) scores were compared between the two groups. Results. The number of cases with total resection, rate of total resection, hospital stay after surgery, and surgery time were significantly better in EG than in CG (P < 0.05); after treatment, the KPS score was significantly higher in EG than in CG (75.66 ± 4.01 vs 65.36 ± 5.23, P < 0.001). Conclusion. Combining 3D Slicer preoperative planning with intraoperative mobile phone VR technology can promote the accuracy of brain glioma surgery, which is conducive to effectively removing tumors while protecting patients’ neural function.
Ischemic Postconditioning Protects against Aged Myocardial Ischemia/Reperfusion Injury by Transcriptional and Epigenetic Regulation of miR-181a-2-3p
Authors: Li Guizhong , Ding Ning , Xiong Jiantuan , Ma Shengchao , Xie Lin , Xu Lingbo , Zhang Hui , Yang Anning , Yang Yong , Jiang Yideng , Zhang Huiping
Published: May 2022

Ischemic postconditioning (IPostC) has been proposed as a strategy to mitigate the risk of ischemia/reperfusion (I/R) injury, and autophagy is involved in I/R-induced aged myocardial injury, while the underlying mechanism of IPostC-regulated autophagy is unknown. Here, we implemented miRNA sequencing analysis in aged cardiomyocytes to identify a novel miR-181a-2-3p after HPostC, which inhibits autophagy by targeting AMBRA1 in aged myocardium to protect I/R-induced aged myocardial injury. Mechanistically, we identified that IPostC can induce DNA hypomethylation and H3K14 hyperacetylation of miR-181a-2-3p promoter due to the decreased binding of DNMT3b and HDAC2 at its promoter, which contributes to enhancing the expression of miR-181a-2-3p. More importantly, cooperation of DNMT3b and HDAC2 inhibits the binding of c-Myc at the miR-181a-2-3p promoter in aged cardiomyocytes. In summary, IPostC attenuates I/R-induced aged myocardial injury through upregulating miR-181a-2-3p expression, which is an attribute to transcriptional and epigenetic regulation of its promoter. Our data indicate that miR-181a-2-3p may be a potential therapeutic target against I/R injury in aged myocardium.
Improvement in Kidney Function after Discontinuation of Fenofibrate in Outpatient Nephrology Consultation for Chronic Kidney Disease
Authors: Hernandez-Arroyo Cesar F. , Kanduri Swetha Rani , Justiniano Rafael , Martinez- Pitre Pedro J. , Velez Juan Carlos Q.
Published: May 2022

Background: It has been noted in observational and interventional studies that individuals exposed to fenofibrate can exhibit a rise in serum creatinine (sCr) concentration. However, it is not known to what extent this phenomenon impacts kidney function in patients who are referred to a nephrology clinic for consultation for chronic kidney disease (CKD). Methods: We conducted a prospective observational study of patients referred to our nephrology clinic for a new evaluation of a rise in sCr or worsening CKD and who were on fenofibrate therapy. We examined the effect of discontinuation of fenofibrate on kidney function, change in sCr, and estimated glomerular filtration (eGFR) at 3, 6, and 12 months. Results: A total of 22 patients (59% women, 86% White, 59% with type 2 diabetes, and 18% with peripheral arterial disease) were captured over 2.5 years. Median sCr at the time of fenofibrate discontinuation was 1.9 (1.1–3.3) mg/dL and eGFR, 32 (17–57) mL/min; proteinuria was absent in 17 (77%). Upon discontinuation of fenofibrate, median sCr decreased to 1.5 (0.9–2.4), 1.4 (1.0–2.5), and 1.4 (1.0–2.3) mg/dL at 3, 6, and 12 months, respectively (p < 0.05); whereas median eGFR increased to 44 (27–71), 45 (23–71), and 42 (21–71) mL/min, respectively (p < 0.05). A ≥30% rise in eGFR was observed in 59% of the patients at 3 months, and it persisted in 45% and 50% of patients at 6 and 12 months, respectively. Conclusion: Discontinuation of fenofibrate in patients referred for CKD evaluation can result in sustained reduction in sCr in about half of the patients and for up to 1 year. There is a need to raise awareness among primary practitioners about this phenomenon. Recognition of fenofibrate as a cause of rise in sCr could reduce unnecessary nephrology consultation and resource utilization.
Impact of Region-of-Interest Size on Immune Profiling Using Multiplex Immunofluorescence Tyramide Signal Amplification for Paraffin-Embedded Tumor Tissues
Authors: Sun Baohua , Laberiano-Fernández Caddie , Salazar-Alejo Ruth , Zhang Jiexin , Solorzano Rendon Jose Luis , Lee Jack , Solis Soto Luisa Maren , Wistuba Ignacio Ivan , Parra Edwin Roger
Published: May 2022

Introduction: Representative regions of interest (ROIs) analysis from the whole slide images (WSI) are currently being used to study immune markers by multiplex immunofluorescence (mIF) and single immunohistochemistry (IHC). However, the amount of area needed to be analyzed to be representative of the entire tumor in a WSI has not been defined. Methods: We labeled tumor-associated immune cells by mIF and single IHC in separate cohorts of non-small cell lung cancer (NSCLC) samples and we analyzed them as whole tumor area as well as using different number of ROIs to know how much area will be need to represent the entire tumor area. Results: For mIF using the InForm software and ROI of 0.33 mm2 each, we observed that the cell density data from five randomly selected ROIs is enough to achieve, in 90% of our samples, more than 0.9 of Spearman correlation coefficient and for single IHC using ScanScope tool box from Aperio and ROIs of 1 mm2 each, we found that the correlation value of more than 0.9 was achieved using 5 ROIs in a similar cohort. Additionally, we also observed that each cell phenotype in mIF influence differently the correlation between the areas analyzed by the ROIs and the WSI. Tumor tissue with high intratumor epithelial and immune cells phenotype, quality, and spatial distribution heterogeneity need more area analyzed to represent better the whole tumor area. Conclusion: We found that at minimum 1.65 mm2 area is enough to represent the entire tumor areas in most of our NSCLC samples using mIF.