bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Factors Related to Adolescents’ Physical Activity Behavior Based on Multichannel LSTM Model
Authors: Chang Guiling , Liu Jinfeng
Published: July 2022

The health problems of teenagers are closely related to their sports behavior. In order to understand the relevant factors of teenagers’ sports behavior, we use a variety of research methods to make a brief theoretical analysis of the relevant factors of teenagers’ sports behavior and analyze the impact of the model on teenagers’ sports behavior from different levels. The model analyzes the factors affecting youth sports behavior, reveals the relationship between these factors, puts forward corresponding intervention strategies, and uses effective means to develop youth sports practice. Therefore, based on the analysis of the relevant factors of teenagers’ sports behavior, this paper puts forward the LSTM model from many aspects, which shows that our model can be very effective in analyzing the factors affecting teenagers’ sports behavior.
[Retracted] Exosomal miRNA Expression Profiling and the Roles of Exosomal miR‐4741, miR‐32, miR‐3149, and miR‐6727 on Gastric Cancer Progression
Authors: Tang Guojun , Wang Jianping , Dong Wuzhen , Dai Kangfu , Du Jinlin
Published: July 2022

Objective. Accumulated evidence highlights the biological implications of exosomes in gastric cancer. Herein, we conducted the exosomal miRNA expression profiling and identified potential diagnostic markers for gastric cancer. Methods. Plasma exosomes were isolated and identified from three gastric cancer patients and three healthy participants. Microarrays of exosomal miRNAs were then analyzed. Differentially expressed exosomal miRNAs were screened with fold − change|≥2.0 and p ≤ 0.05. Among them, miR‐4741, miR‐32, miR‐3149, and miR‐6727 expressions were verified in tissues and plasma of patients and healthy subjects. ROC curves were conducted for evaluating the diagnostic performance. The roles of miR‐32, miR‐3149, miR‐6727, and miR‐4741 on gastric cancer progression were observed by cellular experiments. Results. Isolated exosomes were well characterized by Western blot and transmission electron microscopy as well as nanoparticle‐tracking analyses. According to the microarrays, 142 exosomal miRNAs were upregulated, and 34 were downregulated in gastric cancer than healthy subjects. miR‐4741 upregulation and miR‐32, miR‐3149, and miR‐6727 downregulations were found in tissues and plasma of gastric cancer patients. The AUCs of miR‐4741, miR‐32, miR‐3149, and miR‐6727 were separately 0.8554, 0.9456, 0.7683, and 0.8923. Upregulated miR‐32, miR‐3149, and miR‐6727 as well as downregulated miR‐4741 lowered proliferative, migratory, and invasive capacities as well as elevated apoptotic levels of gastric cancer cells. Conclusion. Our study successfully isolated and verified exosomes from plasma of gastric cancer as well as proposed four exosomal miRNAs that could act as promising diagnostic markers and suppress gastric cancer progression.
Optimization Model of Mathematics Instructional Mode Based on Deep Learning Algorithm
Authors: Liu Rui
Published: July 2022

This paper proposes corresponding teaching methods and instructional modes based on predecessors’ research on mathematics instructional mode and the current state of mathematics teaching. In addition, this paper constructs a teaching evaluation model based on DL algorithm based on an in-depth study of DL-related theories in order to accurately and scientifically analyze the problems that exist in mathematics teaching. This paper constructs an instructional quality evaluation index system based on rationality and fairness, and uses the BPNN evaluation model to train and study a set of instructional quality data. Finally, the experimental results show that this system has a high level of stability, with a 96.37 percent stability rate and a 95.42 percent evaluation accuracy rate. The results of this paper’s evaluation of the mathematical instructional quality model are objective and reasonable. It can accurately assess instructional quality while also assessing problems in the teaching process based on the instructional quality scores and making reasonable recommendations for teaching improvement based on the weak links in the teaching process. It has the potential to provide a workable system for assessing instructional quality.
The Effect of Azithromycin Combined with Palm Massage on Pulmonary Function of Children with Mycoplasma Pneumonia
Authors: Li Haiyan , Xu Dandan
Published: July 2022

Objective. The study aimed to determine the effect of azithromycin combined with palm massage on the pulmonary function of children suffering from mycoplasma pneumonia, as well as associated complications. Methods. A total of 60 cases of children suffering from mycoplasma pneumonia admitted to our hospital from May 2018 to May 2020 were selected as study subjects and assigned to either the observation group or the control group. Lung function indices and changes in the levels of inflammatory markers were measured before and after treatment in both groups, and the results were compared to assess treatment efficacy. Results. There was no statistically significant difference in lung function indices between the two groups before treatment (

P
>
0.05

), while there was a statistically significant difference between the two groups after treatment (

P
<
0.05

), with the observation group outperforming the control group. Similarly, there was no statistically significant difference in the levels of such inflammatory markers as IL-6 and TNF-α between the two groups before treatment (

P
>
0.05

). After treatment, there was a decrease in the levels of inflammatory markers in both groups, but a much larger decrease was seen in the observation group (

P
<
0.05

) than in the control group. The total treatment efficacy in the observation group was 93.3%, which was significantly higher than that of 70.0% in the control group (

P
<
0.05

). Conclusion. The application of palm massage combined with azithromycin in the treatment of children suffering from mycoplasma pneumonia produces outstanding results in terms of relieving symptoms and improving pulmonary function.
Research on Optimal Design of Pressure Relief Blasting Parameters of Middle Rock Pillar in Near Vertical Coal Seam
Authors: Wang Yadi , Yu Shiqi , Rong Hai , Pan Liting
Published: July 2022

In order to prevent the occurrence of rockburst accident caused by the stress concentration of the middle rock pillar in the near-vertical coal seam and affect the mining of the lower coal seam in the known goaf, taking Wudong coal mine in Xinjiang as an example, based on the special geological and mining conditions of the mine, through the simulation experiment and numerical analysis of similar materials, the variation law of the stress distribution of the middle rock pillar with the increase in mining depth is analyzed. A presplitting blasting pressure relief technology of drilling a construction chamber in the middle of the rock column is proposed to form a buffer layer in the rock wall and effectively prevent the continuous downward movement of stress. In order to achieve the optimal blasting effect, the finite element numerical simulation software GTS NX is used to carry out the chamber rock mass hole blasting simulation experiment, the three influencing factors of blasting effect, such as charge quantity, blast hole diameter, and blast hole row spacing, are comprehensively considered, and the optimal pressure relief blasting parameters with the radius of borehole blasting crack circle and the width of plastic zone as the index are determined. The experimental results show that under the condition of determining the physical and mechanical parameters of coal and rock, the blast hole diameter has become the main control factor affecting the blasting pressure relief effect, followed by the charge amount. Through 9 groups of orthogonal tests, the optimal combination of the three indexes is 6 kg charge, 150 mm hole diameter and 10 m hole row spacing. The practical engineering application results of the combination are tested by downhole transient electromagnetic detection (TEM), and it is found that the pressure relief effect is obvious. The preliminary conclusions of the study have guiding significance for the pressure relief and erosion prevention of the middle rock pillar in Wudong mine and provide experimental methods and theoretical basis for the determination of blasting pressure relief parameters in other mines.
[Retracted] A Meta‐Analysis of the Effect of Exercise Rehabilitation Care on Cardiac Function in Patients with Chronic Heart Failure
Authors: Lv Dawei
Published: July 2022

Aims. Effect of systematic exercise rehabilitation nursing on patients with chronic heart failure. Materials and Methods. From January 1, 2021, to March 22, 2006, a comprehensive search was conducted on China Knowledge Network (CNKI), Wanfang, VIPERS (VIP), China Biomedical Literature Database (CBM), PubMed, Cochrane Library, EMBASE library database, and clinical registry to obtain the literature on the impact of exercise rehabilitation nursing on cardiac function of patients with chronic heart failure. From January 1, 2006, to March 22, 2021, the literature of randomized controlled trials (RCTs) on the effect of exercise rehabilitation nursing on cardiac function in patients with chronic heart failure was collected. According to the inclusion and exclusion criteria, literature screening, data extraction, and quality evaluation were carried out. Cochrane system assessor manual version 5.0 was used for quality assessment, and Review Manager Version 5.3 was used for meta‐analysis. Results. A total of 9 articles were included, including 752 patients. Meta‐analysis showed that exercise rehabilitation nursing had a significant effect on cardiac function indexes (LVESV, LVEF, CRP, BNP, and LVEDV) in patients with chronic heart failure (P < 0.05). Conclusion. Exercise rehabilitation nursing has a good effect on improving cardiac function in patients with chronic heart failure. It can improve cardiac function indexes such as left ventricular end‐systolic volume, right ventricular ejection fraction, brain natriuretic peptide, and left ventricular end‐diastolic volume in patients with chronic heart failure.
Analysis of Improved YOLO Algorithm in English Translation
Authors: Ye Ling , Yin Peng
Published: July 2022

As China becomes more and more international, the number of people traveling abroad is also increasing. The demand for English recognition is becoming more and more vigorous, and traditional translation software is time-consuming, laborious, and less accurate. This article optimizes the target detection model YOLOV3. Firstly, the image is divided into multiple model structures, and the K-means++ clustering algorithm is used to determine the target detection prior frame value and the high frame of the corresponding frame according to the characteristics of the English image. Then, by using K-means++ clustering algorithm to optimize the anchor parameters, the model structure is better adapted to the English identification dataset scene; finally, the feature information extracted by the DarkNet-53 model is spliced to improve the structure of the YOLOV3 convolutional layer, using 3090 graphics card GPU to perform multiscale training and testing. Experimental results show that the improved YOLOV3 algorithm in this paper has a mAP of 0.95 on the English identification dataset and a detection speed of 50fps, which is 0.11 higher than the mAP before optimization. Therefore, optimizing the YOLOV3 algorithm in this article has a good effect. In the future, English translation will become a necessary software program for Chinese people to go abroad.
Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning
Authors: Jia Dongbao , Xu Weixiang , Liu Dengzhi , Xu Zhongxun , Zhong Zhaoman , Ban Xinxin
Published: July 2022

Artificial neural networks have achieved a great success in simulating the information processing mechanism and process of neuron supervised learning, such as classification. However, traditional artificial neurons still have many problems such as slow and difficult training. This paper proposes a new dendrite neuron model (DNM), which combines metaheuristic algorithm and dendrite neuron model effectively. Eight learning algorithms including traditional backpropagation, classic evolutionary algorithms such as biogeography‐based optimization, particle swarm optimization, genetic algorithm, population‐based incremental learning, competitive swarm optimization, differential evolution, and state‐of‐the‐art jSO algorithm are used for training of dendritic neuron model. The optimal combination of user‐defined parameters of model has been systemically investigated, and four different datasets involving classification problem are investigated using proposed DNM. Compared with common machine learning methods such as decision tree, support vector machine, k‐nearest neighbor, and artificial neural networks, dendritic neuron model trained by biogeography‐based optimization has significant advantages. It has the characteristics of simple structure and low cost and can be used as a neuron model to solve practical problems with a high precision.
[Retracted] Attention Layer‐Based Multidimensional Feature Extraction for Diagnosis of Lung Cancer
Authors: Bhende Manisha , Thakare Anuradha , Saravanan V. , Anbazhagan K. , Patel Hemant N. , Kumar Ashok
Published: July 2022

At present, early lung cancer screening is mainly based on radiologists’ experience in diagnosing benign and malignant pulmonary nodules by lung CT images. On the other hand, intraoperative rapid freezing pathology needs to analyse the invasive adenocarcinoma nodules with the worst recovery in adenocarcinoma. Moreover, rapid freezing pathology has a low diagnostic accuracy for small‐diameter nodules. Because of the above problems, an algorithm for diagnosing invasive adenocarcinoma nodules in ground‐glass pulmonary nodules is based on CT images. According to the nodule space information and plane features, sample data of different dimensions are designed, namely, 3D space and 2D plane feature samples. The network structure is designed based on the attention mechanism and residual learning unit; 2D and 3D neural networks are along built. By fusing the feature vectors extracted from networks of different dimensions, the diagnosis results of invasive adenocarcinoma nodules are finally obtained. The algorithm was studied on 1760 ground‐glass nodules with 5‐20 mm diameter collected from a city chest hospital with surgical and pathological results. There were 340 nodules with invasive adenocarcinoma and 340 with noninvasive adenocarcinoma. A total of 1420 invasive nodule samples were cross‐validated on this example dataset. The classification accuracy of the algorithm was 82.7%, the sensitivity was 82.9%, and the specificity was 82.6%.
Giaccardi Inequality for Modified
h
-Convex Functions and Mean Value Theorems
Authors: Liu Yonghong , Iqbal Wasim , Rehman Atiq Ur , Farid Ghulam , Nonlaopon Kamsing
Published: July 2022

In this article, we consider the class of modified

h
−

convex functions and derive the famous Giaccardi and Petrovi

c

′

type inequalities for this class of functions. The mean value theorems for the functionals due to Giaccardi and Petrovi

c

′

type inequalities are formulated. Some special cases are discussed by taking different examples of function

h

.
Teaching Methods and Practices of University English Classroom Based on Big Data
Authors: Li Mengjun
Published: July 2022

Traditional university English classroom teaching has undergone radical changes in the context of big data, with new trends in the teaching mode of teachers, the learning mode of students, and the interaction mode of teachers and students. In order to keep up with the development of society, university English cannot remain stagnant and cannot continue to adopt traditional teaching and learning methods. In order to keep up with the development of society and meet its requirements, university English courses should be combined with big data technology to improve the quality of university English. Classroom engagement can attract students’ attention and motivate them to learn, thus improving the quality of university English teaching. This paper elaborates on the changes in university English teaching methods in the context of big data from the changes and role of the English classroom and investigates and analyzes 228 students’ evaluations of the English classroom in our university to further propose ways to improve the teaching methods in the university English classroom. Strategies. This paper discusses how the application of big data technology can assist university English classroom teaching, providing an effective reference for the more efficient use of information technology to help university English classroom teaching in the future and enriching the theoretical basis for university English classroom teaching.
Slope Shape and Edge Intelligent Recognition Technology Based on Deep Neural Sensing Network
Authors: Huang Yansen , Yu Ke , Wu Ningbo , Chang Juanjuan
Published: July 2022

In order to solve the problem that the slope surface diseases cannot be accurately identified, which cannot be repaired in time and cause serious slope disasters, a slope intelligent recognition technology based on deep neural network is proposed. Based on convolutional neural network (CNN) theory, the technology adopts the transfer learning method to solve the overfitting problem of slope surface samples, which is difficult to obtain a large number of marked samples, and verifies the proposed model by experiment. The results are as follows: the recognition results of various slope surface diseases by ResNet-18 network are higher than AlexNet and VGG-16, with an average accuracy of 84.1%, and the recognition effect of cracks is the best. Under the same migration strategy, the detection accuracy of ResNet-18 is 96.3%, which is much higher than the other two, and the detection time is reduced by 15% on average. It is proved that the ResNet-18 model proposed can identify slope changes very effectively, so that workers can be timely dispatched for maintenance, reducing the possibility of disaster, which has great significance.
Complex Structure of Braid in Fiber Art Creation with Multisensor IoT Technology
Authors: Wang Jingyu , Li Pengpeng , Wang Mengyao
Published: July 2022

Fiber-fabric composites have the characteristics of lighter texture, higher strength, higher damage resistance, better toughness, and flexibility than laminated composites, but their complex structures have not been well studied. This paper is aimed at study the complex structure of woven fabrics in fiber art creation based on multisensor Internet of Things technology and at studying the impact of its composite material mechanical properties. In this paper, it is proposed to use glass fibers and carbon fibers to weave the required structural preforms in a two-dimensional braiding machine and then use the obtained preforms and epoxy resin to prepare three-dimensional two-dimensional braided composite materials with different structures through a molding process. The composites were tested in tension, bending, and compression to obtain data and their failure modes, and the data were compared to obtain correlations. The experimental results in this paper showed that through the tensile, bending, and compression tests of the three kinds of hybrid structure braided composites, the tensile properties of the glass fiber braided composites decreased by about 77%; the influence of angle on the bending properties of carbon fiber braided composites has the largest downward trend of 63%. Two-dimensional biaxial and two-dimensional triaxial preforms are made by weaving glass fiber and carbon fiber, and the angle deviation is basically kept within 2.2%.
Exhaust Emission Assessment with Energy Structural Evolution in Transportation Network
Authors: Lin Hongzhi
Published: July 2022

Electric vehicles have become a ubiquitous form of transportation in the transition period from the petroleum era to the electricity era. The development of electric vehicles is of great interest to researchers, policy‐makers, consumers, and industries. However, the dynamic environmental impact assessment along with energy structural evolution in transportation network is still wondering as the vehicular exhaust emissions are highly dependent on their market shares and working conditions. In this paper, a Markov chain model is formulated to represent the transition process between traditional internal combustion engine vehicles (ICEVs), plug‐in electric vehicles (PEVs), and hybrid electric vehicles (HEVs), with which the dynamic market penetration level of three vehicle types can be predicted. Therefore, the amount of pollutants can be figured out based on their market penetration level and network traffic conditions. For a given transportation network, system equilibrium is proposed to calculate network traffic conditions. It is a four‐step sequential model with feedback which can be solved by method of successive averages (MSA) with decreasing weights effectively. A simulation experiment using Nguyen–Dupuis network demonstrates the effect of the proposed method. It is found that the proposed method is effective to assess the dynamics of environmental impacts as the penetration of electric vehicles into transportation system. The method is particularly operable for policy designs stimulating the development of electric vehicles.
Application of Line Integral Convolution Techniques in the Generation of Fine Art Painting Effects
Authors: Cui Ziwei
Published: July 2022

Since the 1980s, nonrealistic drawing techniques have become one of the main focuses of research in computer graphics. In recent years, with the rapid development of computer graphics, nonrealistic drawing techniques have become capable of rendering any digital image into an image with an alternative artistic style. As a result, many scholars have focused on the pencil sketch style. Against this backdrop, research into how to create more realistic art drawings has become a hot topic. Although the rapid development of computer technology has led to advances in art drawing techniques, traditional fine art painting methods are not yet able to simulate realistic pencil sketches in a quite realistic way. In other words, the following issues have been noted. For example, they fail to simulate the gradation of shades and densities of real sketches, the direction of the shadows does not conform to the general rules of sketching, and the results produced are not artistic and realistic. After all, unlike realistic graphics, which seeks a photo-like realism, nonrealistic graphics wants to highlight the message of the image with the help of computer simulations. As a result, nonrealistic graphics often ignores unimportant details in the image. On the other hand, nonrealistic graphics can also simulate an artist’s painting to a certain extent, thus producing an artistically effective image. Many nonrealistic drawing methods have been devised to simulate the styles of oil, watercolour, and ink, but not many algorithms have been developed to generate colour sketches. In order to address this topic, this study improves a fine art drawing generation approach based on the line integral convolution techniques. To be specific, this investigation begins by segmenting the colour images through cluster analysis. Two basic colours are then assigned to each region by calculating the colour variability, and the density of each colour is calculated using a two-tone mapping technique. After that, the line integral convolution technique is applied to generate sketch textures for each of the two basic colour layers, and the two layers are fused to produce the coloured textures. At the same time, a neon transform is used to generate the sketch contour lines. Eventually, the contours are blended with the coloured textures to obtain the coloured sketch effect. The experimental results show that the art painting generation method designed in this paper is able to automatically transform from colour images to coloured pencil drawings, thus improving the efficiency of the process as well as meeting the real-time requirements.
Fixed Points and Continuity Conditions of Generalizedb-Quasicontractions
Authors: Han Yan , Xu Shaoyuan
Published: July 2022

In this research, we first check that the abstract coneb-metric is discontinuous in the case of normal cone by a counter example. We obtain several meaningful results about generalizedb-quasicontraction and Ćirić-typeb-quasicontraction in coneb-metric spaces over Banach algebras, weakening certain important conditions of the spaces and the mappings. Meanwhile, several valid examples are given to demonstrate the new notions and fixed point results, when the existing theorems in the literature are not applicable.
Application of Stewart Platform in the Low-Frequency Vibration Characteristic Test of Space Truss Deployable Antenna on Satellite
Authors: Wang Hui , Zhao Jiang , Xue Yonggang , Huang Zhirong , Zheng Shikun , Ma Xiaofei
Published: July 2022

The space truss deployable antenna has low natural frequency, multi-closed-loop, and multiredundant structure characteristics, which is a kind of flexible antenna. It is hard to obtain the vibration characteristics under low frequency by finite element analysis or conventional shaking table test. To verify the structure characteristics of the antenna in the folded state below 2 Hz, a low-frequency vibration system is established based on the 6-DOF Stewart platform. Rotation matrix analysis method was adopted to obtain the platform’s velocity and acceleration characteristics. Then, a low-frequency vibration test was carried out on the platform. The results show that the natural frequency of the antenna is 1.51 Hz and the maximum dynamic displacement is 140.6 mm, which provides a certain foundation for the further development of the space truss antenna.
Analysis of People Flow Image Detection System Based on Computer Vision Sensor
Authors: Ou Bing , Yang Jingjing , Wang Wei
Published: July 2022

In order to meet the needs of accurately grasping the situation of people in the mall at all times, the author proposes an analysis method based on computer vision for people flow image detection system. This method combines the HOG feature with the SVM classifier, detects pedestrians through dual cameras, and builds an experimental research platform for dual-camera joint detection of pedestrians. The result shows that the error rate of human flow detected by the author’s method is the lowest of 0% and the highest of 6.25%. Conclusion. This method has a good effect on the statistics of the number of people in the shopping mall and can reduce the workload of the monitoring personnel in the shopping mall.
Alteration in Asymmetry of White Matter Network of Parkinson’s Disease
Authors: Chen Aihong , Deng Yue , Zuo Xiaobing , Zhong Suting
Published: July 2022

Parkinson’s disease (PD) is manifest clinically by an asymmetrical presentation of motor dysfunction. A large number of previous neuroimaging research studies have stated the alteration in the hemispheric asymmetry of morphological features in PD disease. Diffusion Magnetic Resonance Imaging (MRI), which is noninvasive, has been widely used to quantify the white matter network in the human brain of both healthy subjects and patients. Besides, graph theory analysis is widely used to quantify the topological architecture of the human brain network. Lately, researchers have discovered that the topological architecture of the white matter network significantly differs in PD compared with healthy controls (HC). Nevertheless, the asymmetry of the topological architecture of the white matter network for PD patients remains unclear. To clarify this, the diffusion‐weighted images and tractography technique were used to reconstruct the hemispherical white matter networks for 22 bilateral PD patients and 18 HC subjects. Network‐based statistical analysis and graph theory analysis approaches were employed to estimate the asymmetry at both the connectivity level and the hemispheric topological level for PD patients. We found that the PD group showed atypically right‐higher‐than‐left asymmetry in hemispheric brain global and local efficiencies. The detected right‐higher‐than‐left asymmetry was driven by the atypically topological changes in the left hemispheric brain in the PD group. Findings from these studies might provide new insights into the asymmetric features of hemispheric disconnectivity and emphasize that the topological asymmetry of the hemispheric brain could be used as a biomarker to identify PD individuals.
Application of Three-Stage DEA Model Combined with BP Neural Network in Microfinancial Efficiency Evaluation
Authors: Yang Jiale , Li Xiang , Mei Jie , Chen Liang
Published: July 2022

The research performed here intends to explore the future development model of new rural financial institutions and determine the financial efficiency goals, thereby providing a huge stage for the development of new rural financial institutions. It applies data envelopment analysis (DEA) to assess financial efficiency to make up for the research gap. First, the relevant theories of rural finance are discussed. Then, some indicators are selected to build an evaluation system. In addition, the DEA method is used to evaluate the rural financial efficiency in Hebei Province by listing the input indexes and output indexes. After training, the backpropagation neural network (BPNN) model is designed and simulated to obtain the evaluation results. The research results show that before 2015, the comprehensive efficiency of Xingtai, Hengshui, Shijiazhuang, and Langfang showed a downward trend. After 2015, the comprehensive efficiency of all cities in Hebei Province tended to be stable, generally stable at about 0.95. It suggests that rural finance in Hebei Province has developed stably in recent years, and the overall efficiency of rural finance has been improved to a certain extent. The simulation results of BPNN demonstrate that the operation efficiency evaluation result of the poverty alleviation development model in the financial support industry is 0.6995, in the interval (0.6, 0.8). In addition, the model operation efficiency is better, indicating that the poverty alleviation development model of the financial support industry has achieved good results and promoted the development of poor rural areas. The research content can provide reference and inspiration for the continuous promotion of rural finance and the formulation and implementation of financial institution reform policies.
Correlation Analysis of TSB Level and Globus Pallidus-Related Metabolite Indexes of Proton Magnetic Resonance Spectroscopy in the Newborn with Neonatal Jaundice
Authors: Liu Chaoyan , Zhang Jieyu , Zhang Zhao , Li Yang , Kang Zhilei
Published: July 2022

Objective. To investigate the correlation between serum total serum bilirubin (TSB) levels and globus pallidus-related metabolic indexes of proton magnetic resonance spectroscopy (1H-MRS) in the newborn with neonatal jaundice. Methods. 50 children with neonatal jaundice admitted to our hospital from January 2019 to January 2021 were recruited and assigned to a mild condition group (TSB < 221 μmol/L, n = 16), a moderate condition group (221 μmol/L ≤ TSB < 3 42 μmol/L, n = 18), and a severe condition group (342 μmol/L ≤ TSB < 428 μmol/L, n = 16) based on peak TSB. The differences in globus pallidus-related metabolic indexes of 1H-MRS between the groups were compared and their correlation with TSB levels was analyzed. Results. The three groups had comparable N-acetylaspartic acid (NAA)/creatine (Cr), choline (Cho)/Cr, lactic acid (Lac)/Cr, and ml/Cr levels (

P
>
0.05

), while there were statistical differences in glutamine (Glx)/Cr levels (

P
<
0.05

). The severe condition group showed the highest levels of neuron-specific enolase (NSE), creatine kinase-MB (CK-MB), and troponin (cTnl), followed by the moderate group, and then the mild group (

P
<
0.05

). The TSB level is positively correlated with the 1H-MRS metabolic index Glx/Cr. Conclusions. The serum TSB level is correlated with the 1H-MRS metabolic index Glx/Cr in the newborn with neonatal jaundice, and the levels of TSB and Glx/Cr provide a reference for the diagnosis of bilirubin encephalopathy.
FDD LTE Performance Simulation Based on Massive Antenna Array
Authors: Wang Jun , Mu Dejun
Published: July 2022

There are two methodologies to realize 3D MIMO for FDD LTE, MU-MIMO-based virtual beam (VB), and four-cell soft-split cell (SSC), which beamforms four logical cells in one physical sector, and this paper is aimed at figuring out which brings more performance between VB and SSC. In the first place, brief introduction for the mechanism of VB and SSC are presented. Subsequently, detailed systematic simulations based on WINNER II are carried out based on different traffic models (low load, medium load, and high load) and user distribution is also considered. For accurate evaluation on the performance gain of VB and SSC, 4T4R solution is also simulated as the benchmark, which is widely deployed to improve the capacity of FDD LTE by operators. Based on the simulation of results of the subsequent KPIs, cell throughput, average cell throughput, average UE throughput, and average layer number, VB and SSC effectively increase single-cell capacity and user experience in high load scenario compared with 4T3S solution and VB can bring more gain.
Hypoxia Promotes Extravillous Trophoblast Cell Invasion through the Hypoxia-Inducible Factor Urokinase-Type Plasminogen Activator Receptor Pathway
Authors: Shigemitsu Aiko , Naruse Katsuhiko , Kobayashi Hiroshi
Published: July 2022

Objectives: Hypoxia is a common feature of extravillous trophoblast (EVT) cells that promote invasion during the early stages of human placentation. This study aimed to examine whether hypoxia-induced an invasive phenotype in EVT cells in vitro and explore the underlying molecular mechanisms. Design: The invasiveness of primary EVT cells isolated from the first trimester placental tissues during weeks 5–8 of gestation was examined under hypoxic (5% O2) and normoxic (20% O2) conditions. Methods: Invasiveness was determined by transwell and wound-healing invasion assays using the IncuCyte ZOOM™ Live-Cell Imaging System. Protein expression of the urokinase plasminogen activator (uPA), uPA receptor (uPAR), and plasminogen activator inhibitor of hypoxia or normoxia-treated cells was measured using Western blot analysis. Knockdown of hypoxia-inducible factor-1 alpha (HIF-1α) was assessed using small interfering RNA (siRNA). Results: Hypoxia enhanced EVT cell invasion but did not affect apoptosis. The stimulatory effect of hypoxia on EVT cell invasiveness was associated with induction of the uPA-uPAR pathway. The synthetic inhibitor of uPAR significantly inhibited hypoxia-induced EVT cell invasion. Silencing of HIF-1α by siRNA abolished the stimulatory effect of hypoxia and inhibited the upregulation of uPAR expression, suggesting that the HIF-1α-uPAR signal is the key mediator for hypoxia-induced EVT cell invasion. Further experiments need to be performed to elucidate the HIF-1α-uPAR signal pathways. Conclusions: The low oxygen-regulated early events of EVT invasion may be mediated by the HIF-1α-uPAR pathway.
A description of the first zoeal stage of Pilumnus vinaceus A. Milne-Edwards, 1880 (Decapoda, Pilumnidae), with a revision of the first zoea morphology of Pilumnus Leach, 1815
Authors: Alves Douglas Fernandes Rodrigues , Pantaleão João Alberto Farinelli , Costa Rogério Caetano , Mantelatto Fernando Luis Medina
Published: July 2022

The morphology of the first zoeal stage of Pilumnus vinaceus is described and compared with the zoea I of Pilumnus all species in the literature. Two ovigerous females of P. vinaceus were maintained in the aquarium facilities until the larvae hatch. The larvae of each ovigerous female were dissected using a stereoscopic microscope. The zoea I of P. vinaceus has common characteristics among the Pilumnidae as: [1] antenna of type 2; [2] maxilliped 1 with 2+2+3+3 setae on the basis and with 3,2,1,2,5 setae in the endopod; [3] maxilliped 2 with 1+1+1+1 setae on the basis and 1,1,6 setae on the endopod; [4] telson with furcal rami armed with dorsal and lateral spines. Considering the species of Pilumnus that occur in the western Atlantic, it becomes possible to identify P. vinaceus zoea I by means of the verification of the following characteristics: [1] pleonites with mediolateral processes; [2] number of setae on the antennule. It is however, important to consider that there is still a great deficit in the knowledge about the morphology of the larval forms of the species assigned to Pilumnus and we argue in favor of new descriptions to build a more robust dataset on zoeal morphology characters and use it in a phylogenetic context on the genus.
Food handling in the domestic environment: an online questionnaire study with respondents from 24 of 26 Brazilian states
Authors: Sampaio Aryele Nunes da Cruz Encide , Soares Vanessa Mendonça , Tadielo Leonardo Ereno , Santos Emanoelli Aparecida Rodrigues dos , Cerqueira-Cézar Camila Koutsodontis , Danelon Giovanni Costa , Bersot Luciano dos Santos , Pereira Juliano Gonçalves
Published: July 2022

Using an online questionnaire, this study evaluated the profile of a Brazilian population’s food handling practices in the home environment. The questionnaire, containing questions about domestic behavior in terms of hygiene and food handling, was built and available through social media sites. Information about the participants’ profiles, their food pre-preparation, food preparation, and food post-preparation practices, and the occurrence of foodborne diseases (FBDs) was included in the questionnaire. A total of 701 responses were obtained. The interviewees included 78.31% female participants and 21.68% male participants, with an average age of 31.2 years. Nearly all (94.3%) had a complete or incomplete higher education. In the pre preparation stage, the participants evaluated the shelf life (97.28%) and storage temperature (44.79%) of the products while purchasing them. Regarding food handling practices, only a few participants washed the food packages before storing them (31.95%) or removed hand jewelry or other adornments when washing food (61.48%). Most participants washed their hands (91.58%) and washed vegetables (99.28%). But a group of interviewees reported washing raw meat (27.81%) before preparing it. Cutting surfaces such as plastic (50.36%) and glass (49.36%) tops were the most prevalent in the study. Most respondents did not know how long they had been using their cutting boards (67.62%) and mentioned using the same surface to handle both raw and ready-to-eat products (84.17%). As for the preparation, most interviewees declared they did not check the food temperature during preparation (86.31%), ignoring the ideal cooking temperature (88.26%). Regarding the occurrence of FBDs, 79.17% of the interviewees reported having suspicious clinical signs associated with contaminated foods and 65.59% did not seek medical help. Thus, the participants demonstrated ignorance about adequate practices for food safety in the home environment, highlighting the need to conduct health education programs within the Brazilian population.
BIST ANA SEKTÖR ENDEKSLERİNDE ZAYIF FORMDA ETKİNLİĞİN YAPISAL KIRILMALI UZUN HAFIZA MODELLERİ İLE ANALİZİ
Authors: EYÜBOĞLU Kemal , EYÜBOĞLU Sinem
Published: July 2022

Hisse senetlerinde uzun hafızanın varlığı, piyasanın zayıf formda etkin olmadığını göstermekte ve piyasa katılımcılarını hisse senedi piyasasının hareketlerini tahmin etmeye yöneltmektedir. Bu çalışmada Borsa İstanbul sektör endekslerinin getiri serilerinin varyansında (mali, sınai, hizmet ve teknoloji) uzun hafızanın varlığı 30.07.2000-12.03.2021 dönemi için günlük veriler dikkate alınarak araştırılmıştır. Bu amaçla Borsa İstanbul’un dört endeksine FIGARCH, FIEGARCH, FIAPARCH ve HYGARCH modelleri uygulanmıştır. Elde edilen sonuçlar, ele alınan dört endeksin uzun hafıza özelliği taşıdığını, diğer bir ifade ile endekslerin zayıf formda etkin olmadığını ortaya koymuştur. Ayrıca tüm endekslerde pozitif şokların volatilite üzerinde negatif şoklardan daha güçlü etkiye sahip olduğu tespit edilmiştir. Elde edilen sonuçlar mevcut veya potansiyel yatırımcılara, portföy yöneticilerine ve politika yapıcılara borsadaki uzun hafızanın dinamik doğasını anlamada yardımcı olacaktır.
Hammadde, İmalat ve Pazar Üçgeninde Orta Çağ’da Flander’de Kumaş Üretimi
Authors: YAVAŞ Halil
Published: July 2022

Flander’deki kumaş imalatını ve ticaretini ele aldığımız bu çalışmamızda, konuyu uluslararası boyutuyla inceleyeceğiz. Öncelikle bu endüstrinin gelişiminde Flander’in tarihi ve coğrafi özelliklerini anlamaya çalışacağız. Devamında hammadde tedariki ve bu süreçte İngiltere’nin konumunu tartışacağız. Gerektiği şekilde kaliteli hammaddeye ulaşan Flander’in kumaş üretiminde ne şekilde teknik ilerlemeler kat ettiğini ve imalat sürecini araştıracağız. Flander ilginç bir şekilde bu sektöre üretici olarak başlamışken devamında ürünün ticaretini de üstlendiğini görmekteyiz. Fakat yine günümüzde olduğu gibi uluslararası rekabet ile karşılaşmış ve karşısında İtalyan tüccarlarını bulmuştur. Çalışmamızda bu süreçte Flander’in zirveye çıkıp inmesinin sebepleri üzerinde duracağız. Burada İtalyan tüccarlar mı yoksa İngiltere ile yaşanan siyasi sorunlar mı etkili oldu onu göreceğiz. Konuları ele alırken John H. Munro, David Nicholas, M. M. Postan, Henri Pirenne, P. Sawyer, Van Werveke gibi alanında uzman bazı araştırmacıların muhtelif tartışmalarına değineceğiz.
H. 1246/M. 1831 TARİHLİ VE 6150-6151 NUMARALI NÜFUS DEFTERLERİNE GÖRE SAMAKOV’DA MÜSLÜMAN NÜFUS VE YERLEŞİM YERLERİ
Authors: DOĞANAY Pınar
Published: July 2022

Osmanlı Devleti’nde daha ziyade vergi mükellefi olan kimseler ile askerlik çağında bulunan kimseleri tespit etmek amacıyla yapılan nüfus sayımları, toplumların sosyal ve ekonomik yapısı başta olmak üzere idarî, askerî, dinî ve kültürel alanlarında bilgi edinilmesine olanak sağlamaktadır. Bu gerçeklikten hareketle, H. 1246/M. 1831 tarihli ve 6150-6151 numaralı Samakov Kazasının nüfus defterlerinin incelendiği bu çalışmada, kazada bulunan Müslüman Mahalleleri ve karyeleri ile kazada bulunan Müslüman erkek nüfus sayısı, isimleri, lakapları ve kişisel özellikleri tespit edilmeye çalışılmıştır. Çalışma bu özelliği ile Samakov Kazasında bulunan Müslüman nüfusun demografik yapısı hakkında bir çıkarım oluşturmayı hedeflenmektedir. Çalışmada, 1831 yılında Samakov Kazasında bulunan Müslüman erkek nüfus sayısının 1.907 olduğu tespit edilmiş olup bunların büyük çoğunluğunun, merkez kazaya bağlı mahallelerde ikamet ettiği belirlenmiştir.
Two remarkable new species of the genus Barsine Walker, 1854 from China (Lepidoptera: Erebidae: Arctiinae: Lithosiini)
Authors: HUANG SI-YAO , VOLYNKIN ANTON V. , FAN XIAO-LING , WANG MIN
Published: July 2022

Two remarkable new species of the genus Barsine Walker, 1854 are described: Barsine qinxiae S.-Y. Huang & Volynkin sp. n. from Zhejiang, Eastern China, and B. jingkuni S.-Y. Huang & Volynkin sp. n. from Sichuan, Western China. The diagnostic comparison is made with Barsine roseata (Walker, 1864), B. hoenei (Reich, 1937) and B. pardalis (Mell, 1922). The lectotype for Miltochrista hoenei Reich, 1937 is designated. Adults and genitalia of the aforementioned taxa are illustrated.
“I Don’t Think Kids Nowadays Feel Like They Have a Lot of Power”: Exploring Teacher Civic Commitments in a National Online Letter Writing Project
Authors: Gargroetzi Emma C. , Garcia Antero
Published: July 2022

This study investigates teacher participation in a national online youth civic letter writing project through the lens of teacher civic commitments. Drawing on in-depth interviews and survey data from teachers who participated in the Letters to the Next President 2.0 project, civic commitments are articulated through civic beliefs, learning goals, instructional enactments, and geopolitical context. With a generic shared belief in “youth voice,” teachers enacted the civic letter writing project through instructional activities that included (a) choice of topic, (b) publication, (c) reading letters from other youth, (d) research, (e) peer dialogue, and (f) connections beyond the Letters project. While beliefs appeared widely shared, divergence in learning goals and enactments led to distinct learning opportunities for students. With minimal research exploring the role of teachers in student civics learning, this study provides new insights to guide teacher preparation and ongoing teacher development in the realm of civics education.
Strength-Based Strategies for Twice-Exceptional High School Students With Autism Spectrum Disorder
Authors: Reis Sally M. , Madaus Joseph W. , Gelbar Nicholas W. , Miller Lawrence J.
Published: July 2022

Academically talented students with autism spectrum disorder (ASD) have the potential to be successful both in high school and later in college, but their rate of post-secondary enrollment and completion lags behind their peers. Currently, limited information exists on strategies to help these students, often known as twice exceptional or 2e, to be academically successful in high school and prepare for competitive college experiences. This article includes a range of specific and practical educational strategies and practices reported in recent research. These strength-based practices, experiences, and learning strategies can be incorporated into educational planning for current 2eASD secondary students to prepare them for academic success and transition, if they desire, to competitive colleges.
William Temple and William Laud
Authors: Fincham Kenneth
Published: July 2022

A comparison of attempts by Archbishops William Temple and William Laud to shape values within a society, with a particular focus on Temple’s Christianity and Social Order.
Uncovering the Complexity of Item Position Effects in a Low-Stakes Testing Context
Authors: Ong Thai Q. , Pastor Dena A.
Published: July 2022

Previous researchers have only either adopted an item or examinee perspective to position effects, where they focused on exploring the relationships among position effects and item or examinee variables separately. Unlike previous researchers, we adopted an integrated perspective to position effects, where we focused on exploring the relationships among position effects, item variables, and examinee variables simultaneously. We evaluated the degree to which position effects on two separate low-stakes tests administered to two different samples were moderated by different item (item length, number of response options, mental taxation, and graphic) and examinee (effort, change in effort, and gender) variables. Items exhibited significant negative linear position effects on both tests, with the magnitude of the position effects varying from item to item. Longer items were more prone to position effects than shorter items; however, the level of mental taxation required to answer the item, the presence of a graphic, and the number of response options were not related to position effects. Examinee effort levels, change in effort patterns, and gender did not moderate the relationships among position effects and item features.
The Politics of Informal Domestic and Construction Worker Organizing: Mexican Cases in Comparative Perspective
Authors: Rojas-García Georgina , Tilly Chris
Published: July 2022

The growing recognition that informal workers can organize successfully has generated debate over the determinants of effectiveness in such organizing. We contribute to this discussion by examining the cases of domestic and construction worker organizations in Mexico, using a power resources framework. Profiling these movements, the key obstacles they face, and their achievements, we undertake a threefold comparison. Within Mexico, we compare organizing both across the two sectors and over time. Additionally, we cross-nationally compare Mexican organizing in these sectors with U.S. comparators. We explain the disparate outcomes through changes in institutional opportunities and access to societal power (allies).