bluuebunny/crossref_metadata_2025 huggingface dataset:
Single-cell transcriptomics reveals shared immunosuppressive landscapes of mouse and human neuroblastoma
Authors: Costa Ana , Thirant Cécile , Kramdi Amira , Pierre-Eugène Cécile , Louis-Brennetot Caroline , Blanchard Orphée , Surdez Didier , Gruel Nadege , Lapouble Eve , Pierron Gaëlle , Sitbon Deborah , Brisse Hervé , Gauthier Arnaud , Fréneaux Paul , Bohec Mylène , Raynal Virginie , Baulande Sylvain , Leclere Renaud , Champenois Gabriel , Nicolas Andre , Meseure Didier , Bellini Angela , Marabelle Aurelien , Geoerger Birgit , Mechta-Grigoriou Fatima , Schleiermacher Gudrun , Menger Laurie , Delattre Olivier , Janoueix-Lerosey Isabelle
Published: August 2022

Background

High-risk neuroblastoma is a pediatric cancer with still a dismal prognosis, despite multimodal and intensive therapies. Tumor microenvironment represents a key component of the tumor ecosystem the complexity of which has to be accurately understood to define selective targeting opportunities, including immune-based therapies.

Methods

We combined various approaches including single-cell transcriptomics to dissect the tumor microenvironment of both a transgenic mouse neuroblastoma model and a cohort of 10 biopsies from neuroblastoma patients, either at diagnosis or at relapse. Features of related cells were validated by multicolor flow cytometry and functional assays.

Results

We show that the immune microenvironment of MYCN-driven mouse neuroblastoma is characterized by a low content of T cells, several phenotypes of macrophages and a population of cells expressing signatures of myeloid-derived suppressor cells (MDSCs) that are molecularly distinct from the various macrophage subsets. We document two cancer-associated fibroblasts (CAFs) subsets, one of which corresponding to CAF-S1, known to have immunosuppressive functions. Our data unravel a complex content in myeloid cells in patient tumors and further document a striking correspondence of the microenvironment populations between both mouse and human tumors. We show that mouse intratumor T cells exhibit increased expression of inhibitory receptors at the protein level. Consistently, T cells from patients are characterized by features of exhaustion, expressing inhibitory receptors and showing low expression of effector cytokines. We further functionally demonstrate that MDSCs isolated from mouse neuroblastoma have immunosuppressive properties, impairing the proliferation of T lymphocytes.

Conclusions

Our study demonstrates that neuroblastoma tumors have an immunocompromised microenvironment characterized by dysfunctional T cells and accumulation of immunosuppressive cells. Our work provides a new and precious data resource to better understand the neuroblastoma ecosystem and suggest novel therapeutic strategies, targeting both tumor cells and components of the microenvironment.
Fungal endophytes affecting the health and recovery of Long’s Braya (Braya longii) and Fernald’s Braya (Braya fernaldii), endangered endemic species of Newfoundland, Canada
Authors: de la Bastide Paul Y. , Finston Terrie , Hermanutz Luise , Hintz Will
Published: August 2022

Long’s ( Braya longii Fernald) and Fernald’s ( B. fernaldii Abbe) Braya are endemic to the Great Northern Peninsula of Newfoundland, Canada. These herbaceous perennials are endangered due to habitat loss and degradation, as well as ongoing threats from fungal infections and insect herbivory. While recovery plans are being implemented, the identity of pathogenic fungi and their origins remain largely unknown. This study was initiated to describe the associated fungal community and infection symptoms. Plant tissues from three populations were sampled over 5 years yielding 326 fungal isolates identified primarily by nucleotide sequence analysis of the internal transcribed spacer rDNA region. Isolates included 36 taxa, 16 of which were detected once and 5 detected three times or less. In contrast, 12 taxa were detected across multiple sites, sampling intervals and years. These included two species of Alternaria,  Boeremia exigua, closely related species of the Didymellaceae, Botrytis cinerea,  Fusarium sp., Colletotrichum sp., Stagonosporopsis sp., Pleospora sp., and Truncatella angustata. Some common taxa showed seasonal trends. The isolated fungi included known pathogens of Brassicaceae. The plants in this study frequently showed symptoms indicative of fungal infection and insect herbivory. These findings improve our knowledge of Braya endophyte communities and will inform recovery efforts for these endangered species.
Cost-effectiveness of Natura 2000 forest contracts for biodiversity conservation
Authors: Heshmatol Vaezin Seyed Mahdi , Marage Damien , Garcia Serge
Published: August 2022

Natura 2000 contracts in the European Union aim to maintain or restore natural habitats to a favorable conservation status. This article aims to analyze the cost-effectiveness of Natura 2000 forest contracts at the individual level of intervention areas in France. The level of long-term biodiversity was assessed using ex ante and ex post levels of conservation status, evaluated on a 100-point scale. Data collection was conducted on the contract areas using a combination of plotless and line intersection sampling methods. Cost-effectiveness was analyzed by modeling a cost function of conservation measures that is estimated simultaneously with the ex ante and ex post biodiversity equations. We performed an empirical illustration based on a small number of observations, and, therefore, the results deserve to be confirmed using larger databases. The conservation measures implemented in the contracts studied had a significant effect on maintaining and restoring biodiversity. Nevertheless, we found pronounced diseconomies of scale and low cost-effectiveness. This suggests the possibility of less ecologically ambitious contracts with lower average costs. Our results also recommend new targeting and prioritizing rules to implement more cost-effective conservation measures (e.g., veteran trees) in a less costly context (e.g., targeting main tree species in larger intervention areas). These recommendations could make Natura 2000 contracts significantly more cost-effective.
Comparison of Hydrogen-Induced Oxide Charges Among GaN Metal-Oxide-Semiconductor Capacitors with Al2O3, HfO2, or Hf0.57Si0.43Ox Gate Dielectrics
Authors: Irokawa Yoshihiro , Inoue Mari , Nabatame Toshihide , Koide Yasuo
Published: August 2022

The effect of hydrogen on GaN metal-oxide-semiconductor (MOS) capacitors with Al2O3, HfO2, or Hf0.57Si0.43O
x
gate dielectrics was studied using capacitance–voltage (C–V) measurements. Hydrogen exposure shifted all the C–V curves toward the negative bias direction, and the hydrogen response of the devices was reversible. When the hydrogen-containing ambient atmosphere was changed to N2, the C–V characteristics were found to gradually revert to the initial values in N2. Application of a reverse gate bias accelerated the reversion compared with that in the absence of a bias, indicating that hydrogen was absorbed into the dielectric (Hf0.57Si0.43O
x
) as positive mobile charges. This result is consistent with the direction of the shift of the C–V curves; positively charged hydrogen absorbed into a dielectric can cause a flatband voltage shift. The hydrogen-induced shift of the C–V curves varied depending on the dielectric. MOS devices with HfO2-based high-k dielectrics were found to have approximately two to four times more incorporated charges than devices with Al2O3. Under the hypothesis that oxygen vacancies (VOs) trap hydrogen, the obtained results imply that the number of VOs in HfO2-based high-k dielectrics is much larger than that in Al2O3-based dielectrics.
Graph Theory Algorithms of Hamiltonian Cycle from Quasi‐Spanning Tree and Domination Based on Vizing Conjecture
Authors: Anuradha T. , Lakshmi Surekha T. , Nuthakki Praveena , Domathoti Bullarao , Ghorai Ganesh , Shami Faria Ahmed
Published: August 2022

In this study, from a tree with a quasi‐spanning face, the algorithm will route Hamiltonian cycles. Goodey pioneered the idea of holding facing 4 to 6 sides of a graph concurrently. Similarly, in the three connected cubic planar graphs with two‐colored faces, the vertex is incident to one blue and two red faces. As a result, all red‐colored faces must gain 4 to 6 sides, while all obscure‐colored faces must consume 3 to 5 sides. The proposed routing approach reduces the constriction of all vertex colors and the suitable quasi‐spanning tree of faces. The presented algorithm demonstrates that the spanning tree parity will determine the arbitrary face based on an even degree. As a result, when the Lemmas 1 and 2 theorems are compared, the greedy routing method of Hamiltonian cycle faces generates valuable output from a quasi‐spanning tree. In graph idea, a dominating set for a graph S = (V, E) is a subset D of V. The range of vertices in the smallest dominating set for S is the domination number (S). Vizing’s conjecture from 1968 proves that the Cartesian fabricated from graphs domination variety is at least as big as their domination numbers production. Proceeding this work, the Vizing’s conjecture states that for each pair of graphs S, L.
Empirical Analysis of the Impact of High and New Technology on the Export of Traditional Cultural Industry Based on Random Matrix Theory
Authors: Qie Xingjia
Published: August 2022

Accurate estimation of covariance matrix is the basis of effective development of high-dimensional optimal portfolio. Random matrix theory provides an effective means to improve the estimation of high-dimensional covariance matrix. Based on the empirical research on the export excess return rate of traditional cultural industry, the result is a combination with higher precision and lower risk. Based on relevant data, this paper constructs a stochastic matrix theoretical model to analyze the impact of human capital, new fixed asset investment, independent innovation and technology purchase, financing sources, and other factors on high-tech industry export. Based on the results of empirical analysis, some policy suggestions are put forward, such as increasing r&d investment, improving enterprises’ innovation ability, and introducing core scientific and technological talents to promote the export scale growth of high-tech industries. Model comparative analysis is made on the influence of traditional industries’ concentrated export, foreign trade environment, and cost advantage on the export of high-tech products. Through comparative analysis of the influencing factors of the export of high-tech products in the two periods before and after the export crisis of traditional culture, the new changes of the influencing factors of the export of high-tech products are analyzed. In addition, through the change of the internal and external environment of the current high-tech product export, the reasons for the new change of the influencing factors are discussed.
Design of Association Application System of Face Recognition and Test-Tube Barcode Based on CNN
Authors: Zhou Zhangning , Shi He , Niu Xuemin
Published: August 2022

In order to improve the standardization and accuracy of business process management of laboratory department in hospitals, combined with convolutional neural networks (CNN) and face recognition technology, an association application system of laboratory face recognition and test-tube barcode is designed by inputting patient’s face and blood test-tube barcode into the system for storage. When the patient logs into the system again, the system uses the patient’s face to automatically search for a matching test-tube barcode to obtain the test results. The simulation results show that the system can accurately recognize the face and match the corresponding test-tube barcode, and the accuracy and ROC of face recognition are 0.85 and 0.94, respectively. In addition, when the patient’s face is within 5 m from the system camera, the accuracy of face recognition can reach 100%. It can be seen that the system designed in this paper shows good performance.
Financial Time Series Model Based on Least Squares Support Vector Machine Predictive Control Algorithm in Financial Market
Authors: Yi Weihao
Published: August 2022

China’s financial market also faces some outstanding problems, namely, obvious structural imbalance in the size of the financial market, on the one hand, the absolute dominance of the size of the indirect financing market, mainly the bank lending market and on the other hand, the imbalance in the size of the direct financing market and the indirect financing market. At the same time, there is also a structural imbalance of the financial market among regions in China. How to verify the objective existence of such structural imbalance in different regions and measure the difference in the level of financial market development among regions is the focus of this paper. This paper constructs a financial market development level indicator system from three dimensions, equity market, bond market, and lending market, and measures the financial market development level by using inter-provincial panel data from 2001 to 2020 through neural network algorithm, time series model, and support vector machine algorithm, and analyzes the regional heterogeneity of financial market development on this basis. The results show that the overall market level of the financial industry in the eastern coastal region of China is the highest, but the intra-regional differences are also the most obvious; the overall market level of the financial industry in the northeastern region of China is the lowest, and the differences with the eastern region rise significantly; the market level of the financial industry at the provincial level in the central and eastern regions shows an all-time decreasing trend, while the western and northeastern regions of China show a convergence, then divergence, and then convergence trend. Therefore, differentiated financial policies should be implemented according to the stage of regional development in order to enhance the financial development level of each economic region and gradually narrow the regional financial development gap.
Reconstruction and Utilization of Energy Economy Information Resources against Humanistic Background
Authors: Du Lan
Published: August 2022

In order to explore the problem of reconstruction of energy economic information resources, the author proposes a reconstruction of energy economic information resources based on the background of digital humanities. This method recommends key technical problems and solutions based on information represented by the digital humanities background and explores research on the reconstruction of economic information resources. The research has shown that the reconstruction of energy and economic information resources based on the background of digital humanities is about 30% more efficient than traditional methods. The concept of sustainable energy development is a continuation of the concept of “sustainable development,” emphasizing the improvement of energy efficiency and using it as a way to improve overall economic efficiency and reduce energy-related environmental costs, so that economic development will not harm the environment, and future generations have equal opportunities for development.
Impact of Immunotherapies on SARS-CoV-2-Infections and Other Respiratory Tract Infections during the COVID-19 Winter Season in IBD Patients
Authors: Waggershauser Constanze Heike , Tillack-Schreiber Cornelia , Weyh Paul , Alt Eckard , Siegmund Thorsten , Berchthold-Benchieb Christine , Szokodi Daniel , Schnitzler Fabian , Ochsenkühn Thomas
Published: August 2022

Background. COVID-19 represents one of the most significant medical problems of our time. Aims. This study is focused on the question whether patients with inflammatory bowel disease (IBD) who receive immunotherapies are more vulnerable to respiratory tract infections and SARS-CoV-2 infections in comparison to medical staff, as a cohort with an increased infection risk, and to the general population in a COVID-19 hotspot. Methods. We analysed data regarding respiratory tract infections that were collected in our IBD registry and compared them with corresponding data from medical employees in our associated Isarklinikum hospital and from the healthy general population in Munich, Germany, over the same time frame in April and June 2020. Patients were tested for SARS-CoV-2 immunoglobulins (Ig). Results. Symptoms of respiratory tract infections occurred equally frequent in IBD patients with immunotherapies as compared to those without. Older age (>49 years), TNF-inhibitor, and ustekinumab treatment showed a significantly protective role in preventing respiratory tract symptomatic COVID-19 infections that occurred in 0.45% of all our 1.091 IBD patients. Of those, 1.8% were positive for SARS-CoV-2 Ig, identically to the general population of Munich with also 1.8% positivity. Whilst more than 3% of all COVID-19 subjects of the general population died during the first wave, none of our IBD patients died or needed referral to the ICU or oxygen treatment. Conclusions. In our study, IBD patients are as susceptible to respiratory tract infections or SARS-CoV-2 as the normal population. There is no evidence of an association between IBD therapies and increased risk of COVID-19. Interestingly, a reduced rate of COVID-19 deaths in IBD patients, the majority on immunomodulator therapy, was observed, compared to the general population. Therefore, no evidence was found to suggest that IBD medication should be withheld, and adherence should be encouraged to prevent flares. In addition to older age (>49 years), TNF inhibitors and ustekinumab show a protective role in preventing respiratory tract infections. In addition, these results add to the growing evidence that supports further investigation of TNF inhibitors as a possible treatment in the early course of severe COVID-19.
Properties and Modification of Bismuth‐Layered Structure Ferroelectric Materials and Application in Sports
Authors: Jiang Guorong
Published: August 2022

Bismuth‐layered oxides are a very important class of ferroelectric materials. Due to their special structure, they have outstanding features in many aspects, such as high Curie temperature, large spontaneous polarization, polarization stability to temperature, high voltage resistance, low dielectric loss, and excellence. Due to its antifatigue properties, the system is very suitable for applications in nonvolatile random access memory and high‐temperature sensors. The purpose of this paper is to study the application of the performance and modification of bismuth‐layered ferroelectric materials in sports scientific research. Proposed the combination of new materials and sports scientific research projects. This article uses sample analysis and (the comparative experiment method is a method to compare the experimental group and the control group to illustrate the superiority of the experiment) comparative experiment methods, sets up an experimental group and a control group, summarizes the algorithm rules through the study of the microscopic properties of nanomaterials, and designs a numerical simulation program. The experimental results in this article show that after receiving hyperbaric oxygen recovery in the first week, the heart rate of the experimental group subjects has a significant change, which is significantly lower than the initial value (p < 0.05), from 58.0 to 53.0, The higher pressure oxygen had a very significant drop before recovery, from 62.9 to 53.0. In the second week and the third week, the heart rate index decreased significantly after 1 hour of hyperbaric oxygen recovery (p < 0.01), from 54.3 to 49.3 and 56.1 to 52.4, respectively. After the fourth week of intensity training, the heart rate increased significantly from the initial value (p < 0.05), from 49.6 to 55.2. After 1 hour of hyperbaric oxygen recovery, there was a significant decrease compared with before the hyperbaric oxygen recovery (p < 0.05), dropped from 55.2 to 53.1. Illustrate the success of the experimental results. It also completed the subject of interaction and combination of the performance and modification of bismuth‐layered ferroelectric materials in sports scientific research.
The Protective Effect of Ursolic Acid on Unilateral Ureteral Obstruction in Rats by Activating the Nrf2/HO-1 Antioxidant Signaling Pathway
Authors: Pei Jun , Wu Moudong , Cai Shuyu , Peng Jinpu , Zhan Xiong , Wang Dan , Wang Wei , An Nini
Published: August 2022

Renal interstitial fibrosis is a common pathological feature of a variety of kidney diseases that progress to end-stage renal disease. The excessive deposition of extracellular matrix (ECM) is a typical pathological change of renal interstitial fibrosis. The production of reactive oxygen species in renal tubules is an important factor leading to the development of renal interstitial fibrosis. Ursolic acid (UA) is a natural pentacyclic triterpene carboxylic acid compound widely found in plants. It has anti-inflammatory, antioxidant, and antitumor cell proliferation effects. It can reduce the development of fibrosis by inhibiting the oxidative stress response of the liver; there is currently no relevant research on whether UA can protect the renal interstitial fibrosis by resisting oxidative stress in the kidneys. In this study, our purpose is to investigate the effect of ursolic acid on renal interstitial fibrosis after unilateral ureteral obstruction (UUO) in rats and its related mechanisms. We established a UUO model by surgically ligating the right ureter of the rat and instilling UA preparation (40 mg/kg/d) through the stomach after the operation, once a day for 7 days. We found that UUO caused impaired renal function, increased pathological damage, increased renal interstitial fibrosis, increased apoptosis, increased oxidative stress damage, and decreased antioxidants. However, after UA preparations were given, the abovementioned damage was significantly improved. At the same time, we also found that UA preparations can significantly increase the relative expression of Nrf2/HO-1 signaling pathway in kidney tissue after UUO. In order to further verify whether the Nrf2/HO-1 signaling pathway is involved in the development of renal interstitial fibrosis, we injected zinc protoporphyrin (ZnPP, 45 umol/kg), a specific blocker of the Nrf2/HO-1 signaling pathway, into the intraperitoneal cavity after UUO in rats and before the gastric perfusion of ursolic acid preparations. Subsequently, we observed that the protective effect of UA on renal interstitial fibrosis after UUO in rats was reversed. Combining all the research results, we proved that UA has a protective effect on renal interstitial fibrosis after UUO in rats, which may be achieved by activating the Nrf2/HO-1 signaling pathway.
Air Pollution Detection and Sports Club Environmental Responsibility Based on the RBF Neural Network
Authors: Guo Zijian , Lin Huijun , Qiao Zebo
Published: August 2022

With the rapid development of soft computing technology, various models and comprehensive analysis methods are emerging one after another, and new theories and research results continue to emerge, showing great strength and development potential in actual theoretical research and engineering applications. This paper analyzes the air pollution detection and environmental responsibility of sports clubs based on RBF neural networks, constructs the corresponding neural network algorithm, and simulates and analyzes the data. In the process of simulation design, we adjust the weight and threshold of the network according to the error performance of the network to realize the functions required by the system. Different models were used to predict the concentration of air pollutants in typical cities. At the same time, a meta-analysis method was used to conduct a preliminary discussion on the impact of air pollutants on the health of the Chinese population, and some research results were obtained. In the past years, Chinese sports clubs have also built a solid social environmental protection system around the related environmental protection responsibilities of sports clubs. The research on green environmental monitoring has improved people’s awareness of environmental responsibility and provided technical support for the green development of sports clubs.
Deep Learning-Based Correlation Analysis between the Evaluation Score of English Teaching Quality and the Knowledge Points
Authors: Li Yuanyuan
Published: August 2022

As one of the three main courses from primary school to senior high school, improving the quality of English teaching in and out of class has become the top priority of colleges and universities. English knowledge points are complex, and domestic scholars have studied vocabulary knowledge and grammatical awareness from various perspectives, but there is still a lack of research on the correlation between vocabulary knowledge, grammatical awareness, and cloze test scores of senior high school students. Therefore, this paper carries out empirical research from the depth of English vocabulary, English grammar, reading comprehension, cloze test, and composition, aiming at exploring the relationship between teaching quality and English knowledge points. Classroom teaching quality evaluation is the basic content of education quality evaluation, which not only needs to evaluate the effect of class hours but also needs a student's long-term learning effect. In order to improve the quality of classroom English teaching, enrich the content of classroom English, and ultimately make the quality of students' learning to a higher level, the combination model of the teaching quality evaluation index is established by combining the decision tree with the knowledge point rule association method and the evaluation results are verified by association rule analysis. This paper selects the effective indicators that affect the evaluation of English teaching quality, determines the weight of the indicators by using the analytic hierarchy process, effectively constructs the combination model of the decision tree and rule association method, and establishes the evaluation model of students' English learning ability in the classroom. Taking students as the main object and combining them with the requirements of digital teaching, the evaluation index system is formed, the index weight is determined by using the analytic hierarchy process, and the classroom teaching quality evaluation model based on the decision tree and English knowledge point correlation analysis is constructed to truly reflect the teaching level of teachers, and the correlation analysis is carried out between English teachers' own quality and students' learning effects and knowledge points. By testing the model performance of English vocabulary depth, reading comprehension, grammar, writing, and other knowledge points, we can well evaluate and analyze students' mastery of English learning and the correlation of English knowledge points.
Improvement of Energy Performance Index for Domestic Prosumers Based on Newly Proposed Dynamic Tariff and Rule-Based Strategy
Authors: Goswami Kuheli , Sil Arindam Kumar
Published: August 2022

A smart and intelligent energy management system (SIEMS) can make the existing system more reliable, robust, and cost-effective to deal with the present power scenario. This also initiates the necessity to develop a new dynamic tariff system and integrate renewable energy sources (RES) along with the conventional grid which in turn reduces carbon emission. Many countries have adopted different strategies for energy conservation based on energy conservation code, the main aim of which is to enforce design and development of household appliances for efficient power consumption. From data provided by utility sectors, it has been found that even in few countries 25% to 28% of the total energy is consumed by domestic sector and 45% of other residential loads also contribute a major part of the total domestic load consumed in any country. As a whole, residences, which consist of light electrical loads and home appliances constitute prosumers. The total energy consumed by prosumers is also intended by Bureau of energy efficiency, to make them fall under these codes (Energy Conservation Building Code) so that they can be treated on a scale of 1 star to 5 stars. This in turn will help in improving the energy performance index (EPI). In this paper, the optimal scheduling model of household appliances and energy storage system (ESS) has been designed based on the availability of renewable energy sources and newly proposed dynamic tariff system. To validate the efficiency of the model, we have comparatively evaluated the performance of the model with different feature selection methods and optimization techniques. A case study has been done and it has been found that the weighted K nearest neighbor method for feature selection and hybrid greedy particle swarm optimization (HGPSO) technique for optimization are performing better than other existing methods. The proposed model reflects the cost-effectiveness and improvement in EPI for prosumers.
Meta-Analysis of the Effect of Nursing Intervention on Children with Type 2 Diabetes
Authors: Tang Liying , Xu Zhen , Yao Ping , Zhu Huiqin
Published: August 2022

Objective. To systematically evaluate the effect of nursing intervention on children with type 2 diabetes. Methods. The randomized controlled trials (RCTs) on nursing intervention in children with type 2 diabetes in CNKI, VIP, WanFang, Chinese Biomedical Database (CBM), PubMed, The Cochrane Library, Embase, and Science were searched by the computer until July 2022. Two evaluators reviewed the articles, selected the information, and assessed their quality according to the inclusion criteria and exclusion criteria and then carried out meta-analysis with RevMan 5.3. Results. A total of 5 RCT studies were kept, including 319 patients with type 2 diabetes (≤21 years old), where 162 patients were in the nursing group and 157 patients were in the control group. Meta-analysis revealed that, compared with routine nursing, nursing intervention could effectively control children’s fasting blood glucose (FBG) (

MD
=
−
1.68

, 95% CI (-2.19, -1.17),

P
<
0.00001

), 2 h postprandial blood glucose (2hPG) (

MD
=
−
4.01

, 95% CI (-4.70, -3.33),

P
<
0.00001

), fasting insulin (FINS) (

MD
=
−
7.42

, 95% CI (-10.63, -4.20),

P
<
0.00001

), 2 h postprandial insulin (2hINS) (

MD
=
−
58.18

, 95% CI (-103.24, -13.11),

P
=
0.01

), triglycerides (TG) (

MD
=
−
0.41

, 95% CI (-0.56, -0.25),

P
<
0.00001

), and systolic blood pressure (SBP) (

MD
=
−
8.85

, 95% CI (-14.67, -3.03),

P
=
0.003

) and effectively maintain patients’ blood glucose at a normal level (

MD
=
−
8.85

, 95% CI (-14.67, -3.03),

P
=
0.003

), where all the differences were statistically significant. Conclusion. The existing evidence showed that nursing intervention has a significant effect in controlling normal blood glucose and improving insulin utilization in children with type 2 diabetes, which can effectively improve the therapeutic effect on children.
Research on Automatic Dance Generation System Based on Deep Learning
Authors: Lan Jia
Published: August 2022

How to model the mapping relationship between music and dance so that the model can automatically generate the corresponding dance based on the rhythm and style of music is the most important issue to be resolved in the automatic arrangement of music and dance. Due to the flexible movement of limbs and the change in camera angle, the visual information of various parts of the human body changes drastically in practical applications, posing significant difficulties in the generation of high-resolution target dance images. Based on deep learning, this paper proposes a two-way voluntary neural network (TWCNN) dance automatic generation system (DL). The long short-term memory (LSTM) network model is an action generation sub-network, which generates each frame of action based on the extracted high-level music features and the bottom-level action features from the previous moment. The recognition accuracy of the proposed algorithm is 12.4 percent and 6.8 percent better than that of the conventional depth CNN, according to the test results.
Impact of Preoperative Magnetic Resonance Imaging on Surgical Outcomes in Women with Invasive Breast Cancer: A Systematic Review and Meta-Analysis
Authors: Li Li , Zhang Qinghong , Qian Chunrui , Lin Huien
Published: August 2022

Background. Currently, whether magnetic resonance imaging (MRI) should be routinely applied to patients with breast cancer before surgery remains controversial. A pooled analysis of the association between preoperative MRI and surgical outcomes in female patients with newly diagnosed invasive breast cancer was conducted to provide evidence-based medicine for clinical practice. Methods. Three independent researchers searched the following databases: PubMed, Medline, Embase, Ovid, Cochrane Library, and Web of Science from inception to April 2022. Literature was included and excluded according to Cochrane’s principles. The basic information from eligible documents was extracted. Systematic evaluation and meta-analysis were performed, and the odds ratio (OR) was analyzed by the random-effect model. The quality of the literature was assessed using the modified Jadad scale and the Newcastle-Ottawa (NOS) mean scale. Results. A total of 19 studies were included, including 4 randomized controlled trials and 15 observational comparative studies. Among them, most studies were not limited to a specific pathological type, with the exception of 3 that were limited to invasive lobular carcinoma. The results showed that preoperative MRI examination would significantly reduce the reoperation rate (OR = 0.77,

P
=
0.02

) and increase the mastectomy rate (OR = 1.36,

P
=
0.001

). In comparison, preoperative MRI did not significantly affect the rate of secondary mastectomy (OR = 0.77,

P
=
0.02

), the rate of positive margin (OR = 1.08,

P
=
0.66

), the rate of mastectomy (OR = 1.00,

P
<
0.05

), and reoperations (OR = 0.65,

P
=
0.19

) in the subgroup analysis of patients with invasive lobular carcinoma. Conclusion. Available evidence suggests that preoperative MRI examination increases the rate of mastectomy and reduces the rate of reoperations. The results indicate that preoperative MRI examination has the potential to benefit patients with breast cancer, but more high-quality studies are needed for confirmation.
[Retracted] Construction Path of Academic English Learning Environment in Colleges and Universities from the Perspective of Education Ecology
Authors: Hua Jie
Published: August 2022

This paper probes into the construction of academic English learning environment in colleges and universities from the perspective of educational ecology. This paper aims to construct academic English learning environment from the perspective of educational ecology by constructing a teaching community, organizing learning activities, using tool mediation, and optimizing the social and material environment. Understand the construction effect through a questionnaire survey. The results show that among the 1000 surveyed students’ average satisfaction with the five elements of the learning environment, the teaching community is 4.6355, the learning community is 4.8963, the learning activity is 4.6987, the tool intermediary is 4.9258, and the social material environment is 4.2536, indicating that the students’ satisfaction is high. From the perspective of educational ecology, the construction of academic English learning environment in colleges and universities can effectively optimize teaching and learning community and help to enhance students’ motivation, cultivate learning interest, and improve practical ability. The construction effect is worthy of recognition.
[Retracted] Application of Psychological Contract Theory in Mental Health and Professional Development of University Teachers
Authors: Zhang Huixiao
Published: August 2022

Mental health is an important element of human public health. To investigate the respective causes of and the relationship between effort‐reward imbalance and psychological anxiety of university teachers, the author, after making a targeted survey of more than 2000 questionnaires and conducting statistics and analysis of the survey data, discovers that the effort‐reward imbalance has a significant effect on the anxiety of university teachers and meanwhile, effort‐reward imbalance will indirectly affect the anxiety of university teachers through the breach of psychological contracts and thus directly affect the mental health of university teachers. To solve this problem, the author takes advantage of the psychological contract theory and designs a mental health improvement system for university teachers, that is, to pay more attention to the feeling of effort‐reward balance of young university teachers, to give more care and help to teachers who have imbalance feelings, to take the maintenance of psychological contracts as an important starting point of the ideological work of young teachers in universities, and so on. Through the implementation of relevant systems, colleges and universities have effectively strengthened their ability to fulfill contracts, established convenient and unobstructed communication channels, prevented breach of psychological contracts of teachers, and prevented teachers from working at high exhaustion at the cost of their physical and mental health, which can finally improve the job satisfaction and professional development of university teachers and enable them to be devoted to higher education in better health.
Practices and Challenges of Integrated Functional Adult Education Program Implementation: The Case of Digeluna Tijo District, Oromia
Authors: Bekele Deriba , Oljira Sentayehu , Tilwani Shouket Ahmad
Published: August 2022

The study’s objective is to investigate the practices and challenges of implementing an integrated functional adult education program. The study used a mixed-method approach with a convergent design. Data were gathered from IFAE learners, facilitators, district education experts, supervisors, and the program’s technical committees. Simple random sampling techniques were used, while comprehensive sampling techniques were used for facilitators. District education experts, supervisors, and technical committees were interviewed using semistructured interviews, while IFAE learners and facilitators were interviewed using questionnaires. The data was analyzed using descriptive statics like frequency, percentage, and mean, as well as a description of the interviewee’s opinion. As a result, the findings revealed that the IFAE program’s contents are more focused on agricultural education and are also relevant to their daily lives. In addition, appropriate materials and teaching methods were used. The major challenges of the district’s IFAE program were a lack of a conducive learning environment; participation and integration of different stakeholders; integration between sectors, overlapping of timetable with learners’ own work, insufficient budget allocation, and a lack of facilitators training. To that end, it was suggested that strong cooperation and participation among government and nongovernment organizations, as well as strong integration between sectors, be encouraged. Furthermore, if regional, zonal, and district education offices need to find ways to increase their budget or raise funds to increase facilitator salaries and equip them, different learning materials were recommended.
Changes of Volume Parameters in the Treatment of Graves Ophthalmopathy by Endoscopic Transethmoidal Decompression of the Orbital Inner Wall Combined with Fat Decompression
Authors: Fu Weina
Published: August 2022

Objective. To observe the orbital volume changes and the analysis of surgical effect of Graves orbitopathy (GO) after endoscopic medial wall decompression combined with muscle cone fat. Methods. Twenty-two patients (30 eyes) with Graves orbital disease who visited the Department of Ophthalmology of Ningbo Medical Center from December 2019 to September 2021 were retrospectively collected. All patients were diagnosed as nonorganic active stage before operation, and all of them received endoscopic transethmoidal decompression of the medial orbital wall combined with intramuscular orbital fat decompression due to decreased vision, visual field defect or color vision disorder, and concomitant proptosis. Regular follow-up after operation. The curative effect is judged according to the degree of improvement of visual acuity, color vision, degree of correction of exophthalmos, diplopia, and other complications at 9 months after operation. Orbital CT combined with computer aided measurement software (Mimics 21) was used to measure the changes of orbital volume before and after exophthalmos surgery. The relationship between the value and eyeball regression is analyzed. Results. Preoperative exophthalmos ranged from 17.4 mm to 27.6 mm, with an average of (

22.08
±
2.86

) mm. The postoperative exophthalmos was 14-25 mm, with an average of (

19.52
±
3.10

) mm. Among them, 7 eyes (23.3%) had exophthalmos regression less than 1 mm, 6 eyes (20%) had a regression of 1-2 mm, 7 eyes (23.3%) had a regression of 2-3 mm, 5 eyes (16.7%) had a regression of 3-4 mm, and 5 eyes (16.7%) had a regression of 4-5.3 mm. The exophthalmos after operation was significantly lower than that before operation, and the difference was statistically significant (

t
=
9.909

,

P
<
0.05

). The preoperative orbital volume was 18.6 cm3-25.3 cm3 with an average of (

22.39
±
1.91

) cm3. The postoperative orbital volume was 19.8 cm3-26.6 cm3, with an average of (

23.89
±
1.90

) cm3.The orbital volume change range is 0.1 cm3-3.8 cm3, and the average orbital volume change is (

1.51
±
1.00

) cm3. Compared with preoperative orbital volume, the difference was statistically significant (

t
=
−
8.074

,

P
<
0.05

). Conclusion. Endoscopic decompression of the medial orbital wall through the ethmoid approach combined with decompression of the orbital fat within the muscle cone can effectively correct the exophthalmos while decompressing the orbital apex, and it is minimally invasive and has no facial scars. It has the advantages of extremely low incidence of postoperative diplopia and eye shift. There is a significant correlation between orbital volume changes and the regression of exophthalmos, which can provide reference for clinical guidance of surgical methods and prediction of surgical results.
Investigation of the Energy Efficiency of Electrohydrodynamic Drying under High Humidity Conditions
Authors: Taoka Yuki , Ai Shota , Dhelika Radon , Saito Shigeki
Published: August 2022

Electrohydrodynamic (EHD) drying is an emerging drying technology that is based primarily on the phenomenon of ionic discharge between two electrodes. The aim of this study was to experimentally investigate the energy efficiency of the EHD drying based on the corona discharge current. Moreover, we aimed to compare the energy efficiency of the EHD drying with that of other available drying technology options under the condition of high humidity, which mimics Indonesia’s environment as a potential target for implementation, given that it is of interest to investigate the feasibility of the EHD drying in a real environment. The results show that the dominant parameters of the EHD drying rate are the corona discharge current and the moisture content zones of the target objects. Findings from this study show that the EHD drying technology could be effectively used to replace the conventional drying process in developing countries having high humidity environments and facing energy consumption challenges.
Research on the Nonlinear Random Matrix Model for Urban Information Model and Modern Urban Governance
Authors: Hu Bin
Published: August 2022

In this paper, a nonlinear stochastic matrix approach is used to conduct an in-depth study and analysis of modern urban governance, and an urban information model is designed for practical application based on it. Random matrix theory can calculate and give the average result of all interactions contained in a complex system. By comparing the different characteristics of statistical properties of real systems and random matrices, the special nonrandom properties of real systems are deduced. The dissipative structure theory of open complex systems, the evolution of network entropy describing the robustness of complex networks, can explain the empirical results of random matrix theory from the point of view of system evolution; through the open development of fair data and prevention tools to achieve algorithm correction, promote the design optimization of intelligent models, intelligent platforms, and intelligent programs; and commit to the benign development of technology. At the institutional level, it is necessary to keep the smart city construction synchronized with the rule of law construction, with a two-pronged approach of policy incentives and legal constraints, in addition to the overall promotion of government transformation and pluralistic governance patterns. It exceeds the carrying capacity and adaptability of social systems and institutions. In fact, the productive forces with science and technology as the core are the most active forces in social change and development. The urban information model is a technical and conceptual change triggered by the wave of information in the field of urban planning and construction and urban management, which takes the 3D model as a carrier to realize digital information application and unification in the whole life cycle of territorial spatial planning, urban design, and engineering and construction projects through the simulation of spatial planning and urban design spatial elements as well as the entry, management, and application of engineering and construction project information. Digital technology is applied in the whole life cycle of land spatial planning, urban design, and engineering projects to achieve fine governance and efficient management of urban planning.