bluuebunny/crossref_metadata_2025 huggingface dataset:
Malaysian Patients’ Expectations of Orthodontic Treatment in Indian Dental Care Set up: A Questionnaire Survey
Authors: Singla Ritesh , Singla Nishu , Nair Anuprita
Published: August 2022

Aims and objectives. To access the expectations of orthodontic treatment among Malaysian patients in the Indian dental care setup and to compare the findings between males and females of the study population. Materials and Methods. A cross-sectional study was conducted on 349 Malaysian patients (182 females and 167 males) aged 18–30 years. A questionnaire consisting of ten items developed by Sawyers and Newton was administered to the patients who visited the department of Orthodontics seeking orthodontic treatment. Outcome measures. Descriptive analysis of the responses and comparison of male and female expectations. Results. Most of the patients expected only a check-up/diagnosis/discussion at their initial appointment, anticipated a fixed type of orthodontic treatment, did not prefer extraction/removal of their teeth, thought the treatment to be painful, and can restrict what they could eat or drink. Positive expectations from the patient included better tooth alignment, enhanced smile, improved confidence, and advancement in professional career. At the same time, nearly half of the patients’ assumed speech/mastication does not get affected during the treatment. Moreover, very few patients believed it would be easier to eat/speak/keep their teeth clean after the treatment. Compared to males, more females had significantly anticipated fixed types of orthodontic treatment, thinking the treatment to be painful and restrictive in terms of what they could eat or drink. Most of the females were unsure about the length of the orthodontic treatment and had significantly higher expectations concerning career improvement. Conclusions. To meet the varied expectations of each of the patients, effective communication between the orthodontist and the patient is essential.
[Retracted] Innovative Design of a Healthy and Environmentally Friendly Intelligent Cleaning Robot in a Smart City Public Environment
Authors: Wei Chang , Wang Peng , Ma Yiming , Li Ruoxi
Published: August 2022

With the expansion of modern society, there has been a substantial increase in the number of structures with multiple stories. Skyscrapers are not only the dream of incredible architects that desire to command the sky, but they have also transformed and defined how we live in the modern day. Building walls, on the other hand, are constantly affected by acid rain, dust and mist, meteorites, and bird droppings since they are exposed for lengthy periods of time. Furthermore, the challenges of cleaning at great heights are becoming increasingly critical. Figuring out how to most efficiently maintain the outside surfaces of skyscrapers so as to extend their longevity, as well as their worth in urban contexts, is a major concern for the health and cleanliness of the public environment in modern cities. The creation of “smart cities” offers a huge opportunity to achieve this goal. A PLC control system for an intelligent cleaning robot was presented in this study, together with its wire design, control demands, hardware selection, and control system. Furthermore, it provided a design for a cleaning robot that would operate within the context of a smart city. A PLC system would be used in this design to detect the cleaning position and initiate automatic cleaning. The operation of the system revealed that the PLC‐based intelligent cleaning robot control system has high dependability, strong operating efficiency features, and a high promotional value.
Adjuvant Radiation after Primary Resection of Atypical Lipomatous Tumors of the Extremity Reduces Local Recurrence but Increases Complications: A Multicenter Evaluation
Authors: Lawrenz Joshua M. , Johnson Samuel R. , Zhu Kevin , McKeon Mallory , Moran Cullen P. , Vega Jose , Hajdu Katherine S. , Norris James P. , Luo Leo Y. , Shinohara Eric T. , Cates Justin M. M. , Rubin Brian P. , Reith John D. , Halpern Jennifer L. , Mesko Nathan W. , Schwartz Herbert S. , Nystrom Lukas M. , Holt Ginger E.
Published: August 2022

Background. Radiation after resection of an atypical lipomatous tumor (ALT) is controversial. This study evaluates local control and complications after the first resection of ALTs of the extremity with or without adjuvant radiation. Methods. A dual institution, retrospective review of patients treated from 1995 to 2020 with first-time resection of an ALT in the extremity was performed. In total, 102 patients underwent adjuvant radiation (XRT group) and 68 patients were treated with surgery alone (no-XRT group). The median follow-up time was 4.6 years (interquartile range (IQR) 2.0–7.3 years). The median radiation dose was 60 Gy (IQR 55–66 Gy). Univariable and multivariable analyses evaluated the association of patient, tumor, and treatment variables with recurrence and complications. Kaplan–Meier analysis evaluated local recurrence-free survival (LRFS) and time to complication. Results. The overall incidence of local recurrence was 1% (1/102) in the XRT group and 24% (16/68) in the no-XRT group

p
<
0.001

. The median time-to-recurrence was 8.2 years (IQR 6.5–10.5 years). In the XRT and the no-XRT groups, 5-yr LRFS was 98% and 92%

p
=
0.21

and 10-yr LRFS was 98% and 41%

p
<
0.001

, respectively. The absence of radiation (HR = 23.63, 95% CI (3.09–180.48);

p
<
0.001

) and R2 surgical resection margins (HR = 11.04, 95% CI (2.07–59.03);

p
<
0.001

) incurred a 23-fold and 11-fold increased risk of local recurrence, respectively, while tumor size, depth, location, and neurovascular involvement were not found to be independent predictors of recurrence. The complication rate was 37% (38/102) in the XRT group and 10% (7/68) in the no-XRT group

p
<
0.001

. Eight patients (8/102, 8%) required surgical management for complication in the XRT group compared with two patients (2/68, 3%) in the no-XRT group

p
=
0.10

. Higher radiation dose had a modest correlation with increased severity of complication (

ρ
=
0.24

;

p
=
0.02

). Conclusions. Adjuvant radiation after first-time resection of an ALT of the extremity was associated with a significantly reduced risk of local recurrence but a three-fold increase in complication rate. These data support a 10-year follow-up for these patients and inform a notable clinical trade-off if considering adjuvant radiation for this tumor with recurrent potential.
Few-Shot Learning for Image-Based Nonintrusive Appliance Signal Recognition
Authors: Matindife L. , Sun Y. , Wang Z.
Published: August 2022

In this article, we present the recognition of nonintrusive disaggregated appliance signals through a reduced dataset computer vision deep learning approach. Deep learning data requirements are costly in terms of acquisition time, storage memory requirements, computation time, and dynamic memory usage. We develop our recognition strategy on Siamese and prototypical reduced data few-shot classification algorithms. Siamese networks address the 1-shot recognition well. Appliance activation periods vary considerably, and this can result in imbalance in the number of appliance-specific generated signal images. Prototypical networks address the problem of data imbalance in training. By first carrying out a similarity test on the entire dataset, we establish the quality of our data before input into the deep learning algorithms. The results give acceptable performance and show the promise of few-shot learning in recognizing appliances in the nonintrusive load-monitoring scheme for very limited data samples.
Research on Mental Health Monitoring Scheme of Migrant Children Based on Convolutional Neural Network Based on Deep Learning
Authors: Yang Guangyan
Published: August 2022

In recent years, with the acceleration of urbanization and the implementation of compulsory education, the pressure on students’ study and life has increased, and the phenomenon of psychological and behavioral problems has become increasingly prominent. Therefore, the school has regarded students’ mental health education as the top priority in teaching work. Effective expression classification can assist psychology researchers to study psychology and other disciplines and analyze children’s psychological activities and mental states by classifying expressions, thereby reducing the occurrence of psychological behavior problems. Most of the current mainstream methods focus on the exploration of text explicit features and the optimization of representation models, and few works pay attention to deeper language expressions. Metaphors, as language expressions often used in daily life, are closely related to an individual’s emotion, cognition, and psychological state. This paper studies children’s smiling face recognition based on deep neural network. In order to obtain a better identification effect of mental health problems of children, this paper attempts to use multisource data, including consumption data, access control data, network logs, and grade data, and proposes a multisource data-based mental health problem identification algorithm. The main research focus is feature extraction, trying to use one-dimensional convolutional neural network (1D-CNN) to mine students’ online patterns from online behavior sequences, calculate abnormal scores based on students’ consumption data in the cafeteria, and describe the dietary differences among students. At the same time, this paper uses the students’ psychological state data provided by the psychological center as a label to improve the deficiencies caused by the questionnaire. This paper uses the training set to train five common classification algorithms, evaluates them through the validation set, and selects the best classifier as our algorithm and uses it to identify students with mental health problems in the test set. The experimental results show that precision reaches 0.68, recall reaches 0.56, and

F
1

-measure reaches 0.67.
[Retracted] Effects of Physical Exercise on Physical Fitness and Mental Health of Obese Students
Authors: Wu Junfang
Published: August 2022

With the rapid development of my country’s economy, the rapid improvement of national living standards, the introduction of western fast food culture, and the modern lifestyle, the detection rate of obese patients in my country has increased year by year. Obesity has gradually become an important issue of social concern, especially among students, obesity is very common, seriously affecting the physical and mental health of students, and laying a hidden danger for the development of society. As an effective method, physical exercise has an important impact on the physical and mental health of obese students and has become an important way to solve the obesity problem. On the basis of a large number of literature research, this paper adopts a variety of research methods such as questionnaire survey, expert consultation, mathematical statistics and comparative analysis, and logical analysis. The current situation of extracurricular physical exercise has been investigated in detail, and after data analysis, it is found that obesity has a great negative impact on all aspects of college freshmen. The results of the study showed that the obese college students in Suzhou had a low level of physical health. The average scores of the “National Student Physical Health Standards” for boys and girls were 58.50 and 60.49, respectively, and the failure rates were 48.24% and 43.55%, respectively. Compared with the average level of college students in the whole country, the height, weight, and vital capacity of obese students in Suzhou are higher than the national level, while the vital capacity index is far lower than the national level, and there are significant differences in physical fitness items (obese girls 800 meters), standing long jump, sit‐ups are higher than the national level, and there are significant differences; obese boys 1000 meters, sitting forward flexion are lower than the national level, there is a significant difference, while the standing long jump performance is slightly higher than the national level). In terms of mental health, the detection rate of various mild mental health problems among obese college students in Suzhou is as high as 44.56%, and the detection rate of various moderate mental health problems also reaches 9.69%. Compared with the national youth norm, obese college students are prone to psychological problems such as somatization, obsessive‐compulsive symptoms, anxiety, terror, psychosis, hostility, and paranoia.
Urban Rail Transit Network Planning Based on Particle Swarm Optimization Algorithm
Authors: Yu Ning
Published: August 2022

In order to solve the problem that the urban rail transit network is affected by a large number of signals, resulting in poor control effect, and improve the living comfort of residents near urban rail transit, a study on urban rail transit network planning based on particle swarm optimization algorithm is proposed. The learning factor is dynamically adjusted according to the inertia weight parameters, and the particle swarm optimization parameters are selected in combination with the setting of the maximum velocity parameters. The individual optimal particle is selected by using the dominant relationship between the individual particles, and the optimization of the optimal particle is completed by combining the selection requirements of the global optimal particle. We design the v2x communication implementation scheme, obtain the traffic flow information of urban rail transit, build the signal input and output model based on particle swarm optimization algorithm, obtain the output feedback signal, and determine the planning scale of urban rail transit network, so as to build the urban rail transit network planning model and complete the urban rail transit network planning. The experimental results show that the proposed method can improve the utilization rate of urban rail transit network planning, effectively control the change of network signal amplitude, and reduce the repetition rate of urban rail transit network planning.
[Retracted] Central Composite Designed Fast Dissolving Tablets for Improved Solubility of the Loaded Drug Ondansetron Hydrochloride
Authors: Thalluri Chandrashekar , Amin Ruhul , Mandhadi Jithendar Reddy , Gacem Amel , Emran Talha Bin , Dey Biplab Kumar , Roy Arpita , Alqahtani Mohammed S. , Refat Moamen S. , Safi Sher Zaman , Alsuhaibani Amnah Mohammed
Published: August 2022

Ondansetron tablets that are directly compressed using crospovidone and croscarmellose as a synthetic super disintegrant are the subject of this investigation. A central composite, response surface, randomly quadratic, nonblock (version 13.0.9.0) 32 factorial design is used to optimize the formulation (two‐factor three‐level). To make things even more complicated, nine different formulation batches (designated as F1–F9) were created. There were three levels of crospovidone and croscarmellose (+1, 0, ‐1). In addition to that, pre‐ and postcompressional parameters were evaluated, and all evaluated parameters were found to be within acceptable range. Among all postcompressional parameter dispersion and disintegration time, in vitro drug release experiments (to quantify the amount of medication released from the tablet) and their percentage prediction error were shown to have a significant influence on three dependent variables. Various pre‐ and postcompression characteristics of each active component were tested in vitro. Bulk density, tap density, angle of repose, Carr’s index, and the Hausner ratio were all included in this analysis, as were many others. This tablet’s hardness and friability were also assessed along with its dimension and weight variations. Additional stability studies may be conducted using the best batch of the product. For this study, we utilised the Design‐Expert software to select the formulation F6, which had dispersion times of 17.67 ± 0.03 seconds, disintegration times of 120.12 ± 0.55 seconds, and percentage drug release measurements of 99.25 ± 0.36 within 30 minutes. Predicted values and experimental data had a strong correlation. Fast dissolving pills of ondansetron hydrochloride may be created by compressing the tablets directly.
Evaluating the Privacy Policy of Android Apps: A Privacy Policy Compliance Study for Popular Apps in China and Europe
Authors: Liu Kaijun , Xu Guoai , Zhang Xiaomei , Xu Guosheng , Zhao Zhangjie
Published: August 2022

Recently, with the increase in the market share of the Android system and the sharp increase in the number of Android mobile apps, many countries and regions have successively launched laws and regulations related to data security. The EU’s GDPR and China’s Information Security Technology-Personal Information Security Specification are two of the most important bills, affecting vast areas and large populations. Both regulations impose requirements on privacy policy specifications for Android apps. With these requirements, however, apps’ privacy policies have become larger. Researchers have conducted studies on whether the actual privacy behavior of apps conforms to their privacy policy description but have not focused on compliance with the privacy policy itself. In this paper, we propose evaluation metrics for privacy policy compliance and evaluate popular apps by analyzing privacy policies and apps. We applied our method to 1,000 apps from the Google Play Store in Europe and 1,000 apps from the Tencent Appstore in China. We detected a number of app privacy policy noncompliance issues and discovered a number of privacy issues with third-party services and third-party libraries.
Multimedia Image Data Compression Based on Wavelet Analysis
Authors: Wang Rui , Zhu Qi , Bu Weichun
Published: August 2022

In order to improve the compression technology of multimedia image data, a compression method of multimedia image data based on wavelet analysis was proposed. By combining Fourier transform and wavelet packet multithreshold denoising method, the image data was denoised and compressed through the transform of wavelet analysis and multithreshold processing, so as to realize the compression of image data with high quality. The experimental results showed that it was effective to analyze signal singularity, singularity position, and singularity degree by using wavelet analysis. And the signal mutation position near

t
=
0

could be seen clearly from the wavelet coefficient diagram, while the Fourier transform diagram did not provide any information about when the frequency mutation occurred. It was concluded that the method of multimedia image data compression based on wavelet analysis could promote the development of multimedia image data compression technology effectively.
Characterization and Modeling Quality Analysis of Edible Oils Using Electrochemical Impedance Spectroscopy
Authors: Elmosalami T. A. , Kamel Mahmoud M. , Tomashchuk I. , Alzaid Meshal , Mostafa Massaud
Published: August 2022

The dielectric characteristics of six culinary oils were measured over the frequency range of 0.01 Hz–100 kHz. The results showed that the dielectric constants of oils had the same frequency relationship (i.e., they decreased with increasing frequency). The dielectric constants at lower frequencies for olive oil A, olive oil B, sesame oil, Nigella sativa, sunflower oil, and corn oil are approximately 2.75, 2.5, 2.0, 1.75, 1.5, and 0.9. An FT-IR analysis showed that the spectral differences were very small, because most vegetable oils contain the same type of fatty acids. The model built using COMSOL Multiphysics for the potential and electric field distributions for different oils and used to calculate the dielectric constant was simulated under various conditions in the AC/DC module. The model results were compared with the experimental results, which showed satisfactory convergence between them. The experimental and model results obtained in this study could be useful for evaluating the edible oil quality.
Network Pharmacology and Molecular Docking Validation to Reveal the Pharmacological Mechanisms of Kangai Injection against Colorectal Cancer
Authors: Zheng Bo-Bo , Wang Quan , Yue Yumin , Li Jiang , Li Xiao-Jun , Wang Xin
Published: August 2022

Background. Kangai injection is a traditional Chinese medicine (TCM) mixed by extracts from astragalus, ginseng, and kurorinone with modern technology. It is a commonly used antitumor injection in China, but the mechanism of Kangai injection in the treatment of colorectal cancer (CRC) is still unclear. The purpose of this study is to explore the mechanism of Kangai injection against CRC using network pharmacology and molecular docking technology. Methods. Targets of Kangai injection in CRC were predicted by SwissTargetPrediction and DisGeNET databases. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed by using the DAVID database. A component‐disease‐target gene‐pathway network was constructed by Cytoscape 3.8.0 software. Results. 114 overlapping targets of Kangai injection and CRC were used to construct a PPI network, and the top 10 hub targets of Kangai injection were rated from high to low as TP53, VEGFA, EGFR, TNF, ESR1, STAT3, HSP90AA1, HDAC1, AR, and MMP9. The ingredient‐target‐disease interactive network was constructed, which included 22 compounds and 114 overlapping targets with 161 nodes and 707 edges. Entries of enrichment analysis were obtained based on P value (<0.05), which included 19 of GO‐MF, 217 of GO‐BP, 8 of GO‐CC, and 13 KEGG. Molecular docking analysis showed that Kangai injection strongly interacted with top 10 hub target proteins. Conclusion. Network pharmacology intuitively showed the multicomponent, multiple targets, and multiple pathways of Kangai injection in the treatment of CRC. The molecular docking experiment verified that compounds of Kangai injection had good binding ability with top 10 hub target proteins as well.
Transepithelial Photorefractive Keratectomy Compared to Conventional Photorefractive Keratectomy: A Meta-Analysis
Authors: Alasbali Tariq
Published: August 2022

This meta-analysis review compares the primary and secondary outcomes of transepithelial photorefractive keratectomy (TPRK) to the conventional photorefractive keratectomy (PRK), in terms of efficacy, predictability, safety, and patient perspectives. A total of 1711 eyes with PRK (811 eyes) and TPRK (900 eyes) from 12 studies were included through bibliographic searches. The main outcomes were efficacy, predictability, and safety parameters, and the secondary outcomes included visual and patient-reported parameters. The effect measures were weighted mean differences with 95% confidence intervals (CI) which were derived from the random-effects model of the meta-analysis to account for possible heterogeneity. TPRK procedure presents a comparable status in the main outcome and a very dominant significance in all the secondary outcomes in this meta-analysis. This study updates the evidence of the accuracy of TPRK procedure for surgical correction of all refractive errors and was deemed safer with less surgical time required and an early healing time.
Situation Element Extraction Based on Fuzzy Rough Set and Combination Classifier
Authors: Zhao Dongmei , Wang Hongbin , Wu Yaxing
Published: August 2022

Generalized network security situation awareness technology is divided into three processes: situation element extraction, situation understanding, and situation prediction. Situation element extraction is the most critical step in the whole process, and its extraction quality will directly affect the accuracy of situation understanding and prediction. In view of the shortcomings of current situation element extraction methods, this study makes an in-depth study on the network security situation element extraction algorithm and proposes a situation element extraction model based on the fuzzy rough set and combined classifier, which is used to improve the accuracy of situation elements acquisition, so as to provide a better data basis for situation understanding and prediction. In this study, the theory of fuzzy rough set is used to reduce the attributes of data without reducing the ability of data classification, which reduces the complexity of data; using the combination classifier theory and particle swarm optimization algorithm, a framework of situation element extraction is built, which can extract situation elements more accurately. The experimental results show that the network security situation element extraction framework proposed in this study can effectively shorten the extraction time of situation elements and improve the accuracy of situation element acquisition under the premise of ensuring the ability of data classification, thus proving the effectiveness and feasibility of the situation element extraction framework proposed in this study.
A Novel Intrusion Detection Method Based on Supplement Gate Recurrent Unit for IoT
Authors: Liu Zi-yi , Yang Chang-song , Xiao Jun , Song Bo-wen , Shi Ke-xing
Published: August 2022

With the rapid development of information technology, the internet of things (IoT) technology has been integrated into most people’s daily life and work. However, the IoT must confront many new security challenges. Specifically, the increase in the variety of IoT-connected devices has diversified the network. Meanwhile, the high data rates and spectral efficiency offered by 5G cellular networks facilitates the increasing capacity of IoT network traffic. Therefore, network traffic data are characterized by an expanded large scale, wide diversity, and high dimensions, which greatly affects the functionality and efficiency of intrusion detection methods. Although the existing neural network-based intrusion detection methods partially resolve the above problems, they need to execute a lot of nonlinear transformations when learning and characterizing data, resulting in a large loss of feature information. To address this problem, in this paper, we first design a new neural network model based on the gate recurrent unit (GRU), namely, the supplement gate recurrent unit (SGRU). Compared with a traditional GRU, through loss compensation, a SGRU can reduce the loss of feature information caused by nonlinear transformations when learning and characterizing network traffic data. Then, we adopt the SGRU to propose a novel intrusion detection method to monitor the security of the network. Finally, we developed the corresponding prototype system and verified its performance. The experimental results demonstrate that our proposed intrusion detection method is more accurate than previous intrusion detection methods.
A Novel Optimal Strategy for Communication System in the Maritime Industry Based on Game Theory
Authors: Li Weijie , Qi Qin , Liu Yifang
Published: August 2022

In this paper, we employ convex optimization and the saddle point equation to find the two-player optimal payoff in iterated rock-paper-scissors game. We also describe the equivalent of payoff written in a two-person non-zero-sum matrix in the hypothetical game system, which provides a possible way to make quantitative analyses. In addition, we use the interior-point methods to simulate rock-paper-scissors game and our numerical results verify that our hypothesis of the payoff equation,

max

Y

min

X

Y

T

A
X
=

min

X

max

Y

Y

T

A
X

, can still work very well even if

A

changes with the payoff

g

, but it is never affected by other factors.
[Retracted] New Urbanization and Rural Tourism Development under the Rural Revitalization Strategy Environment
Authors: Jiang Lujuan , Wang Leilei
Published: August 2022

China can effectively promote urban‐rural integration and economic and social modernization through new urbanization, which also serves as a strong driver and supporter of the growth of rural tourism. This paper examines the new urbanization and the growth of the rural tourism industry based on the rural revitalization strategy. It does so by using the techniques of literature research, field investigation, information technology retrieval, and excavation. We list the accomplishments of the rural tourism sector at its current stage of development and identify the issues and factors that will affect the sector’s future growth. In addition, a coordinated development evaluation index system is built based on a theoretical analysis of rural revitalization strategies and new urbanization, and the corresponding comprehensive score is obtained using the entropy method for research. The index weight of the subsystem for rural revitalization in province A is computed using the entropy weight method. According to the findings, the wealth of life has the smallest weight (0.1117), followed by the prosperity of industry (0.2618), which is the largest on a criterion level. The effective weight of governance is the largest, at 0.2801. This study can serve as a useful resource for fostering rural tourism and advancing rural business.
Levels of Serum IGF-1, HCY, and Plasma BNP in Patients with Chronic Congestive Heart Failure and Their Relationship with Cardiac Function and Short-Term Prognosis
Authors: Hu Zhengyi , Mao Leifang , Wang Ling
Published: August 2022

Objective. To investigate the levels of serum insulin like growth factor-1 (IGF-1), homocysteine (HCY), and plasma brain natriuretic peptide (BNP) in patients with chronic congestive heart failure (CCHF) and their relationship with cardiac function and short-term prognosis. Methods. A total of 95 patients with CCHF admitted to our hospital from October 2017 to December 2018 were selected as the observation group. Patients conform to grade II∼IV of the New York Heart Association (NYHA) heart function class. At the same time, the people with normal physical examination results were selected as a control group. Serum IGF-1, HCY, and plasma BNP levels were detected in the two groups, and left ventricular end-diastolic diameter (LVDd) and left ventricular ejection fraction (LVEF) were detected in the observation group. According to the follow-up results, the observation group was divided into the subgroup with good prognosis and the subgroup with poor prognosis. The relationship between the levels of serum IGF-1, HCY, and plasma BNP among cardiac function and short-term prognosis were analyzed. Results. The serum IGF-1 level of the observation group was lower than that of the control group, and the serum HCY and plasma BNP levels were higher than those of the control group (

P
<
0.05

). Serum IGF-1 level in grade III of NYHA was lower than that in grade II, and serum HCY and plasma BNP levels were higher than those in grade II. Serum IGF-1 level in grade IV was lower than that in grade II and grade III, and serum HCY and plasma BNP levels were higher than those in grade II and grade III (

P
<
0.05

). Serum IGF-1 level was negatively correlated with LVDd and positively correlated with LVEF. Serum HCY and plasma BNP levels were positively correlated with LVDd and negatively correlated with LVEF (

P
<
0.05

). There were 42 patients with poor prognoses (44.21%). Serum IGF-1 levels of patients with poor prognosis were lower than those with good prognosis, and serum HCY and plasma BNP levels were higher than those with good prognosis (

P
<
0.05

). Conclusion. The serum IGF-1 level in patients with CCHF decreased, and serum HCY and plasma BNP levels increased. Serum IGF-1, HCY, and plasma BNP were correlated with cardiac function and have some clinical value for short-term prognosis.
[Retracted] HDAC3 Inhibition Alleviates High‐Glucose‐Induced Retinal Ganglion Cell Death through Inhibiting Inflammasome Activation
Authors: Yu Dongyi , Tang Qing , Liu Lili , He Dawei , Wang Libo , Zhou Xin
Published: August 2022

Purpose. The exact effects of histone deacetylase 3 (HDAC3) inhibition in DR related retinal ganglion cells (RGCs) death remained unclear. This study is aimed at detecting the influence of HDAC3 on the high‐glucose‐induced retinal ganglion cell death. Methods. The retinal HDAC3 expression in DR of different time points was analyzed by immunohistochemical assay and western blot. Besides, the expression of HDAC3 and both retinal thickness and RGC loss were analyzed. The effects of HDAC3 inhibitor on cell viability, oxidative stress, and apoptosis in high‐glucose‐ (HG‐) treated RGCs were analyzed. Both inflammatory and antioxidative factors were detected by ELISA. Results. Advanced effects of HDAC3 inhibition on the expression of NLRP3 inflammasome were detected using western blots. High HDAC3 expression was detected only in the late DR mice (4 months of diabetes duration) but not early DR mice (2 months of diabetes duration). The immunohistochemical assay showed that HDAC3 expression was correlated with both retinal thickness and RCG contents. HDAC3 inhibitor significantly protected the HG‐treated RGCs from damaged cell viability, severe apoptosis, and oxidative stress. Advanced pathway analyses showed that HDAC3 inhibition inactivated NLRP3 inflammasome and thus alleviated retinal inflammation. Conclusion. In conclusion, HDAC3 was involved in RGC loss and thus promoted the progression of neurodegeneration of DR. Besides, HDAC3 inhibitor demonstrated protective effects in neurodegeneration in DR through downregulation of NLRP3 activity. The effects of HDAC3 inhibitor in DR management should be confirmed in clinical trials.
Thin-Film Nanocomposite Reverse Osmosis Membrane with High Flux and Antifouling Performance via Incorporating Maleic Anhydride-Grafted Graphene Oxide
Authors: Chen Zhongyan , Zhao Boqun , Qin Yuhang , Zhou Yi , Lu Yinghua , Shao Wenyao
Published: August 2022

Water flux is one of the most important performance parameters of the reverse osmosis (RO) membrane. The higher water flux means lower energy cost when treating the same volume of feed solution with membrane separation technology. However, the increase of membrane water flux always corresponds to the decrease of solvent rejection, known as the “trade-off” effect. In addition, the surface fouling of membranes is often a serious problem, as frequent cleaning not only increases the operating cost but also shortens the life of the membranes. Recently, various hydrophilic nanomaterials have been used to improve the performance of membranes. To fabricate thin film nanocomposite (TFN) RO membrane with high flux and antifouling performance, maleic anhydride-grafted graphene oxide (MG) was successfully synthesized and incorporated into the polyamide (PA) layer via the interfacial polymerization (IP) method. We performed the IP reaction with m-phenylenediamine (MPD) and trimesoyl chloride (TMC) as reactive monomers on a polysulfone (PSF) substrate, and acid absorbent (TEA) and surfactant (SDS) were added to improve the separation performance of the membrane. The effects of MG incorporation on the membrane morphology and separation performance were investigated. SEM and AFM results show that the surface of the MG membrane is rougher than that of the membrane without MG. In addition, excessive loading of MG will lead to aggregation of MG nanosheets. FT-IR spectra indicate that the interaction between MG and PA layers results in an increase of hydrophilic groups on the surface of the TFN membrane, which is further confirmed by the results of the contact angle. The optimal MG doping concentration in the aqueous solution is 0.004 wt%, the water flux of the resultant TFN membrane is significantly increased to 51 L·m-2·h-1, 150% higher than the blank control membrane, which also performs a higher NaCI rejection (97.5% vs. 96.6%). Furthermore, the MG-incorporated RO membrane exhibits superior antifouling performance compared with the blank control membrane.
Study on the Influence Rule of High-Pressure Water Jet Nozzle Parameters on the Effect of Hydraulic Slotting
Authors: Gu Beifang , Hu Ruili , Wang Longkang , Xu Guanchao
Published: August 2022

In order to get the appropriate nozzle parameters, numerical simulation and field tests are used to investigate the influence of high-pressure water jet nozzle parameters on the effect of hydraulic slotting. A nozzle model is created by using FLUENT software. For different nozzle contraction angles, outlet diameters, and straight column section lengths, the distribution rules of the velocity of the water jet and dynamic pressure on the central and vertical axes are obtained, and the parameters for the best nozzle effect are determined. The relationship between the nozzle contraction angle gradient, the inlet water pressure, and the nozzle outlet water velocity is discovered. A mathematical model of the nozzle outlet water velocity of the water jet is established. The depth, width, and volume of the hole generated by the nozzle impact are employed as indications for inquiry, and field measurements are used to derive the results of nozzle geometry parameter optimization. The field tests validate the numerical simulation conclusions, and the results have theoretical and practical guidance for hydraulic slotting in coal mines and get the appropriate nozzle parameters specially.
Design of UWB Wearable Conformal Antenna Based on Jean Material
Authors: Chen Peng , Wang Dan , Liu Lu , Wang Lihua , Lin Yumeng
Published: August 2022

In this paper, a wearable ultra-wideband (UWB) microstrip antenna is designed to meet the demand for Wireless Body Area Network (WBAN). This is a wearable textile antenna, which was formed on a jeans fabric substrate to reduce surface-wave losses. The single-fed circular strip monopole antenna provides good impedance matching over the entire UWB frequency range of 2.9∼10.6 GHz. The dielectric constant

ε

r

 = 2.2, and the loss tangent

tan
 
 
δ

 = 0.04 of the jean substrates are measured by using the coaxial ring method. The proposed antenna consists of an improved circular radiation patch with the defective ground structure to expand the frequency band of the antenna and improve the radiation characteristics of the antenna with small dimensions of

20
×
30
×
1.4
 

mm

3

. In addition, structural deformation of the proposed antenna is performed to analyze the flexibility of the proposed antenna. The simulated SAR values follow the FCC limit, making it most suitable for wearable applications.
The Value of Serum YKL-40 and TNF-α in the Diagnosis of Acute ST-Segment Elevation Myocardial Infarction
Authors: Fang Caoyang , Chen Zhenfei , Zhang Jing , Pan Jianyuan , Jin Xiaoqin , Yang Mengsi , Huang Luyao
Published: August 2022

Background. Acute ST-segment elevation myocardial infarction (STEMI) is a serious cardiovascular disease that poses a great threat to the life and health of patients. Therefore, early diagnosis is important for STEMI patient treatment and prognosis. The purpose of this study was to investigate the value of serum YKL-40 and TNF-α in the diagnosis of STEMI. Methods. From October 2020 to February 2022, 120 patients with STEMI were admitted to the Chest Pain Center of the Second People’s Hospital of Hefei, and 81 patients with negative coronary angiography were selected as the control group. Serum YKL-40 and TNF-α concentrations were measured by sandwich ELISA. Pearson correlation was used to analyze the correlation between serum YKL-40, TNF-α, and serum troponin I (cTnI) in STEMI patients; multivariate logistic regression analysis was used to screen independent risk factors for STEMI. Three diagnostic models were constructed: cTnI univariate model (model A), combined serum YKL-40 and TNF-α model other than cTnI (model B), and combined cTnI and serum YKL-40 and TNF-α model (model C). We assessed the clinical usefulness of the diagnostic model by comparing AUC with decision curve analysis (DCA). Results. Serum YKL-40 and TNF-α in the STEMI group were significantly higher than those in the control group (

P
<
0.001

). On Pearson correlation analysis, there was a significant positive correlation between serum YKL-40, TNF-α, and cTnI levels in STEMI patients. Multivariate logistic regression analysis showed that serum YKL-40 and TNF-α were independent risk factors for the development of STEMI. The results of ROC analysis showed that the area under the curve (AUC) of serum YKL-40 for predicting the occurrence of STEMI was 0.704. The AUC of serum TNF-α for predicting the occurrence of STEMI was 0.852. The AUC of cTnI as a traditional model, model A, for predicting the occurrence of STEMI was 0.875. Model B predicted STEMI with an AUC of 0.851. The addition of serum YKL-40 and serum TNF-α to the traditional diagnostic model composed of cTnI constituted a new diagnostic model; that is, the AUC of model C for predicting the occurrence of STEMI was 0.930. Model C had a better net benefit between a threshold probability of 70–95% for DCA. Conclusion. In this study, we demonstrate the utility of serum YKL-40 and TNF-α as diagnostic markers for STEMI and the clinical utility of diagnostic models by combining serum YKL-40 and TNF-α with cTnI.
Transfer Learning with Feature Extraction Modules for Improved Classifier Performance on Medical Image Data
Authors: Jha Ritesh , Bhattacharjee Vandana , Mustafi Abhijit
Published: August 2022

Transfer learning attempts to use the knowledge learned from one task and apply it to improve the learning of a separate but similar task. This article proposes to evaluate this technique’s effectiveness in classifying images from the medical domain. The article presents a model TrFEMNet (Transfer Learning with Feature Extraction Modules Network), for classifying medical images. Feature representations from General Feature Extraction Module (GFEM) and Specific Feature Extraction Module (SFEM) are input to a projection head and the classification module to learn the target data. The aim is to extract representations at different levels of hierarchy and use them for the final representation learning. To compare with TrFEMNet, we have trained three other models with transfer learning. Experiments on the COVID-19 dataset, brain MRI binary classification, and brain MRI multiclass data show that TrFEMNet performs comparably to the other models. Pretrained model ResNet50 trained on a large image dataset, the ImageNet, is used as the base model.
Elevated IOP Alters the Material Properties of Sclera and Lamina Cribrosa in Monkeys
Authors: Jia Xu , Zhang Feng , Cao Mengdan , Pan Zheng , Liu Ke , Zhou Dengming , Duan Xuanchu
Published: August 2022

Objective. Elevated intraocular pressure (IOP) has significant impacts on different stages in the progression of chronic glaucoma. In this study, we investigated changes in the material properties of sclera and lamina cribrosa (LC) in a nonhuman primate model with elevated IOP. Methods. Normal adult Tibetan macaques were selected for the construction of elevated IOP model. After 40 days of stable maintenance on the ocular hypertension, the binocular eyeballs were obtained for the measurement of macroscopic parameters of the eyeballs. Posterior scleral tissue strips were obtained in circumferential and axial directions, and thickness was measured, respectively. Biomechanical parameters were obtained with stress relaxation, creep, and tensile test. The nanoindentation test was performed on the LC and scleral tissue around optic nerve head (ONH) to obtain compressive modulus. Results. In the presence of elevated IOP, variations of the axial diameter of the eyeball were greater than those of the transverse diameter, and the mean scleral thickness around ONH was smaller in the experimental group than control group. The elastic modulus and stress relaxation modulus of sclera were larger, and the creep rate was lower in the experimental group than control group. In the control group, the elastic modulus and stress relaxation modulus of the circumferential sclera were larger in the axial direction, and creep rate was smaller. In the experimental group, there was no significant difference in biomechanical characteristics between the two directions. Compared to the control group, the compression modulus of the LC was smaller, and the compression modulus of sclera around ONH was larger in the experimental group. Conclusion. Elevated IOP alters the viscoelasticity and anisotropy of sclera and LC. These may contribute to reduction of the organizational resistance to external forces and decline in the ability of self-recovery.
Postmenopausal Women with Breast, Endometrial, and Ovarian Cancers Have an Increased Risk for Cardiovascular Conditions prior to Active Endocrine Therapy
Authors: Han Xu , Liu Fei , Hidru Tesfaldet H. , Yang Xiaolei , Wang Chengfang , Xia Yunlong
Published: August 2022

Background. Patients with active cancer have an increased risk of cardiovascular diseases (CVDs) among cancer patients receiving endocrine therapy. However, little research has explored the distribution of CVD comorbidities and cardiovascular risk factors (CVRFs) among postmenopause women with breast, endometrial, or ovarian cancer prior to active treatment with endocrine therapy. We aimed to explore the distribution of CVD comorbidities and associated CVRF in patients suffering from breast, endometrial, or ovarian cancer prior to the use of endocrine therapy and to assess whether there was compliance with existing hospital recommendations, particularly on the use of lipid-lowering agents to prevent the development of CVD comorbidities in postmenopause women. Methods. A total of 10,731 postmenopause women with primary breast, endometrial, or ovarian cancer were enrolled between 30th May 2008 and 31st July 2021 from an electronic health record database at the first affiliated hospital of Dalian Medical University. Dyslipidemia was defined according to 2016 Chinese guidelines for adults. Multivariate logistic regression analysis was used to identify the independent predictors of CVD comorbidities in breast, endometrial, and ovarian cancers separately. Results. Overall, 18.9% of the included women had at least one CVD record before endocrine therapy. The highest prevalence of CVD was identified for hypertension (16.5%), followed by coronary heart disease (4.5%), stroke (2.1%), heart failure (1.2%), and atrial fibrillation (1.1%). The most common CVRF among total cancer patients was dyslipidemia, with a remarkable prevalence of 62.8%, followed by diabetes mellitus (8.6%). Notably, only 11.1% of cancer patients were receiving lipid-lowering agents. Conclusion. Cancer patients with potential eligibility for endocrine therapy use had an increased risk for CVD comorbidities. Dyslipidemia was the common CVRF. Compliance with recommendations for preventing and managing these comorbidities requires serious attention.
High-Quality Development of Science and Technology Finance and Logistics Industry in the Yangtze River Economic Belt: Coupling Analysis Based on Deep Learning Model
Authors: Li Lingrui , Huang Xianjun , Liu Pengfei
Published: August 2022

Using the entropy method, the coupling coordination model, and the Tobit model, the coupling coordination degree of the high-quality development of science and technology finance and the logistics industry in the Yangtze River Economic Belt in China from 2009 to 2020 is measured, and its influencing factors are found. The study found that the overall coupling coordination degree of the Yangtze River Economic Belt has shown a rapid upward trend; the development gap of the interprovincial coupling coordination degree has a narrowing trend. Except for Sichuan Province, the average coupling coordination degree decreases from the downstream to the upstream; the mechanism analysis shows that the coupling effect of the two. There are scale effect, innovation effect, talent effect, and structure effect; the analysis of influencing factors shows that innovation effect and talent effect have the most obvious promoting effect on the coupled and coordinated development of the two. In addition, the upgrading of the industrial structure, the effective driving of science and technology, the improvement of the logistics foundation, and the further development of finance also have a positive effect on it. Finally, according to the conclusions, suggestions are put forward from five aspects: insisting on innovation, talent training, risk prevention, policy orientation, and industrial structure upgrading, so as to realize the further coupling of high-quality development of technology finance and logistics industry.