bluuebunny/crossref_metadata_2025 huggingface dataset:
Building Crack Detection Based on Digital Image Processing Technology and Multiscale Feature Analysis Automatic Detection Algorithm
Authors: Liu Chenguang
Published: May 2022

At present, the monitoring of concrete cracks is still mainly carried out by engineering personnel using simple mechanical monitoring instruments. The human inspection will undoubtedly be interfered by the individual’s psychological, physical, and external conditions, and there may also be unobjective emotions, so it is impossible to ensure that the quality of the detection is up to standard and accurate. This paper combines digital image processing technology and multiscale feature analysis automatic detection algorithm to construct an intelligent building structure crack detection system. Moreover, this paper proposes an enrichment scheme for the unknown partially entangled states of building microparticles and utilizes the entanglement exchange process based on the Raman interaction of two building microparticles. The experimental results show that the automatic detection method of building cracks based on digital image processing technology and multiscale feature analysis has a good effect.
C-Reactive Protein Levels in Children with Acute Bronchiolitis
Authors: Isa Hasan M. , Mohroofi Abdulrahman D. , Alkhan Fatema N. , Hasan Asma Z. , Alkubisi Mariam M. , Alhewaizem Sana S. , Khalifa Sara I. , Alromaihi Noora G.
Published: May 2022

Background and Objectives. Acute bronchiolitis is a common respiratory disease in children. C-reactive protein (CRP) is an indicator of bacterial coinfection. This study is aimed at assessing the frequency of elevated CRP in children with acute bronchiolitis and at comparing the clinical characteristics, laboratory and radiological findings, antibiotics use, and outcome according to CRP levels. Material and Methods. We retrospectively reviewed medical records of children with acute bronchiolitis admitted to Pediatric Department, Salmaniya Medical Complex, Bahrain, in 2019-2020. Demographic, clinical, laboratory and radiological data, and outcomes were collected. Patients with high CRP were compared with those with normal levels. Results. Of 287 patients, 229 (79.2%) were included. 132 (57.6%) were males. Median presentation age was 3.7 (interquartile range (IQR), 1.27-12.33) months. Median CRP level was 10.4 (IQR, 2.8-35.1) mg/L. CRP was high in 167 (72.9%) patients. 17.6% (33/187 patients) had confirmed bacterial coinfection. Respiratory syncytial virus (RSV) was detected in 84 (36.7%) patients. Mean CRP level was higher in RSV-negative compared to RSV-positive patients,

31.3
±
44.3

versus

21.5
±
27.7
 
mg
/
L

, respectively (

P
=
0.042

). Respiratory viral serology profile was positive in 34.7% (17/49 patients). 66.9% (107/160 patients) had positive chest X-ray. Antibiotics were used in 78.1% (179/227 patients). Thirteen (5.7%) patients required intensive care, five (2.2%) had surgical intervention, four (1.8%) required endotracheal intubation, and four (1.8%) died. Patients with high CRP were older at presentation (

P
<
0.0001

) and had more fever (

P
<
0.0001

) and cough (

P
=
0.002

), but lower hemoglobin level (

P
<
0.0001

) compared to those with normal CRP. Fever (

P
=
0.016

) and hemoglobin level (

P
=
0.002

) were independent factors. Conclusion. Most children with acute bronchiolitis had high rate of elevated CRP values that did not correlate with the rate of bacterial coinfection. High CRP levels were found in older children, those presented with more fever and cough, and had a lower hemoglobin level despite that those factors were previously reported to be associated with disease severity and bacterial coinfection. This study also showed a high overall rate of antibiotic prescriptions in mostly viral disease.
Automatic Generation of Test Cases Based on Genetic Algorithm and RBF Neural Network
Authors: Liu Zhenpeng , Yang Xianwei , Zhang Shichen , Liu Yi , Zhao Yonggang , Zheng Weihua
Published: May 2022

Software testing plays an important role in improving the quality of software, but the design of test cases requires a lot of manpower, material resources, and time, and designers tend to be subjective when designing test cases. To solve this problem and make the test cases have objectivity and greater coverage, a branch coverage test case automatic generation method based on genetic algorithm and RBF neural network algorithm (GAR) is proposed. In terms of test case generation, based on the genetic algorithm optimized in this paper, a certain number of test case samples are randomly selected to train the RBF neural network to simulate the fitness function and to calculate the individual fitness value. The experiment uses 7 C language codes to automatically generate test cases and compares the experimental data generated by the branch coverage test case generation method based on adaptive genetic algorithm (PDGA), traditional genetic algorithm (SGA), and random test generation method (random) to evaluate the proposed algorithm. The experimental results show that the method is feasible and effective, the branch coverage is increased in the generation of test cases, and the number of iterations of the population is less.
Comparative Assessment of the Long-Term Effectiveness and Safety of Dapagliflozin and Empagliflozin as Add-on Therapy to Hypoglycemic Drugs in Patients with Type 2 Diabetes
Authors: Yang Ai-Yu , Chen Hung-Chun
Published: May 2022

Background. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) reduce blood glucose, blood pressure, and body weight in patients with type 2 diabetes (T2D). However, the comparative long-term effectiveness and safety of SGLT2i among similar drugs, administered at different doses, have not been assessed. In this study, we compared the long-term effectiveness and safety of SGLT2i (dapagliflozin versus empagliflozin) as add-on therapy to hypoglycemic agents in T2D patients. Methods. This study was a single-center, 3-year, retrospective, observational study. For all patients in the study, drugs were evaluated for safety by documenting adverse drug reactions. The primary effectiveness was evaluated as the difference between hemoglobin A1c (HbA1c) values obtained at baseline and those obtained after 36 months of treatment. The proportion of participants with HbA1c levels <7.0% and <6.5% was also analyzed. Results. In total, 680 patients were enrolled in this study. Using propensity score matching, 234 patients each from the dapagliflozin and empagliflozin groups were selected based on patient characteristics. After 36 months of treatment, clinical parameters (including HbA1c, fasting plasma glucose, alanine aminotransferase, triglyceride levels, body weight, and systolic blood pressure) decreased significantly in these groups. The changes from the baseline for the physiological values and clinical parameters did not vary among the different dose groups of SGLT2i. The incidence of adverse drug reactions was approximately 7–8%. All patients with observed serious adverse reactions were hospitalized for urinary tract infections. Conclusion. Our study showed that the long-term continuous use of either dapagliflozin or empagliflozin as add-on therapy to hypoglycemic drugs for T2D patients is synergistically effective for lowering blood glucose, reducing body weight, and stabilizing blood pressure. Additionally, there was no significant difference in efficacy between dapagliflozin and empagliflozin, even with the administration of different doses of these agents.
A Comparative Study on the Competitiveness of Knowledge-Driven Sports Brands
Authors: Tang Yuxin , Zan Shengfeng , Zhang Xiaowen
Published: May 2022

With the rapid development of science and technology, sports brands are increasingly relying on knowledge-driven technology. This study uses the competitive advantage theory, comparative advantage theory, and knowledge-driven theory, referring to the evaluation principles of scientificity, operability, and effectiveness, and selects Anta, Li Ning, and Adidas as the research objects of knowledge-driven sports brand competitiveness. Using Yaaph12.7 software and multilevel index entropy method, we assign and calculate 4 secondary indexes, 12 tertiary indexes, and 35 4th-level indexes of brand strength, brand potential, brand power, and brand vitality of three brands. In addition, Anta has strong comprehensive strength and good social resources and policy support. Li Ning’s brand potential is the greatest, and the consumer group is younger. Therefore, this study draws the following conclusions: (1) The core competitiveness of knowledge-driven sports brands is the innovation-driven model of brand technology, product R&D, intangible asset value, and brand development. (2) The competitiveness of knowledge-driven sports brands pays more attention to brand potential, brand strength, and brand vitality. (3) The competitiveness of knowledge-driven sports brands needs to be combined with the latest scientific and technological means to realize the integration of brands and information technology, “Internet +,” and big data. (4) The brand size, brand resources, and other brand advantages in the knowledge-driven sports brand competition indicators are not the main influencing factors for showing the core competitiveness. This paper draws the following inspirations from the research conclusions: it is necessary for knowledge-driven sports brands to improve the ability to transform resources and stimulate the vitality of the brand market, optimize the level of brand service to meet market consumption needs, strengthen innovation-driven development and explore innovative development paths, build brand development strategy, cultivate the development of superior technology, accelerate the development of brand quality, and build an applied talent pool.
Roles and Mechanisms of Regulated Necrosis in Corneal Diseases: Progress and Perspectives
Authors: Lin Wanying , Chen Minting , Cissé Yacouba , Chen Xiaofeng , Bai Lang
Published: May 2022

Regulated necrosis is defined as cell death characterized by loss of the cell membrane integrity and release of the cytoplasmic content. It contributes to the development and progression of some diseases, including ischemic stroke injury, liver diseases, hypertension, and cancer. Various forms of regulated necrosis, particularly pyroptosis, necroptosis, and ferroptosis, have been implicated in the pathogenesis of corneal disease. Regulated necrosis of corneal cells enhances inflammatory reactions in the adjacent corneal tissues, leading to recurrence and aggravation of corneal disease. In this review, we summarize the molecular mechanisms of pyroptosis, necroptosis, and ferroptosis in corneal diseases and discuss the roles of regulated necrosis in inflammation regulation, tissue repair, and corneal disease outcomes.
Silicon Wearable Body Area Antenna for Speech‐Enhanced IoT and Nanomedical Applications
Authors: Vignesh N. Arun , Kumar Ravi , Rajarajan R. , Kanithan S. , Kumar E. Sathish , Panigrahy Asisa Kumar , Periyasamy Selvakumar
Published: May 2022

We propose in this paper a reduction in the size of wearable antennas on silicon (Si) for medicinal frameworks and Internet of things (IoT) in various nanoapplications. This research also introduces one more type of dynamic patch antenna designed in favor of speech‐enhanced healthcare applications. The most significant impediment to the adoption of smart correspondence and medical services frameworks is voice‐enabled IoT. The primary objective of a body area network (BAN) is to give ceaselessly clinical information to the doctors. Actually, wireless body area network is flexible, dense, trivial, and less expensive. On the other hand, the main disadvantage is low efficiency for small printed antenna. Microstrip silicon antenna recurrence is changed because of ecological conditions, distinctive reception apparatus areas, and diverse framework activity modes. By using tunable antenna, the efficiency of bandwidth usage can be increased. Amplifiers are associated with the feed line of antenna in order to build its dynamic range. In this study, a dynamic polarized antenna is constructed, analysed, and attempted for fabrication. The gain of the antenna is 13 ± 2 dB for the frequency range of 390 to 610 MHz. The output of the polarized antenna is roughly 19 dBm. At different environmental conditions, the performance and ability to control the antenna could vary. To achieve stable performance, we have used varactor diode and voltage‐controlled diode. This silicon wearable antenna can be fabricated and tested for many medical applications like health monitoring system and pacemakers. Furthermore, micromachining techniques can be used to lower the practical dielectric constant of silicon and hence improve radiation efficiency.
Assessment of Selected Proximate and Heavy Metals in Enset Products Collected from Tepi Market, Southwestern Ethiopia
Authors: Haile Geleta Shisho
Published: May 2022

This study focused on determining selected proximate compositions, such as moisture content, ash content, crude fibre content, and crude fat content, of kocho and bulla enset products collected from Bechi, Fide, Yeki, Zinki, Addis Alem, and Korcha kebeles of Yeki woreda. Besides, heavy metals such as iron, copper, manganese, zinc, and lead have been analyzed. The result showed that all proximate compositions analyzed agree with other conducted researches, except moisture content because of heavy rainfall in Yeki woreda. On the other hand, the results obtained for iron and zinc were higher than the permissible limit set by international standards, while that of manganese was slightly higher than the standard limit. On the other hand, the results obtained for copper were below the permissible limit set, while lead was not detected in all samples. Therefore, the investigated kocho and bulla products can provide an appreciable amount of analyzed minerals.
Symbiosis with Dinoflagellates Alters Cnidarian Cell-Cycle Gene Expression
Authors: Gorman Lucy M. , Konciute Migle K. , Cui Guoxin , Oakley Clinton A. , Grossman Arthur R. , Weis Virginia M. , Aranda Manuel , Davy Simon K.
Published: May 2022

In the cnidarian-dinoflagellate symbiosis, hosts show altered expression of genes involved in growth and proliferation when in the symbiotic state, but little is known about the molecular mechanisms that underlie the host’s altered growth rate. Using tissue-specific transcriptomics, we determined how symbiosis affects expression of cell cycle-associated genes, in the model symbiotic cnidarian Exaiptasia diaphana (Aiptasia). The presence of symbionts within the gastrodermis elicited cell-cycle arrest in the G1 phase in a larger proportion of host cells compared with the aposymbiotic gastrodermis. The symbiotic gastrodermis also showed a reduction in the amount of cells synthesizing their DNA and progressing through mitosis when compared with the aposymbiotic gastrodermis. Host apoptotic inhibitors (Mdm2) were elevated, while host apoptotic sensitizers (c-Myc) were depressed, in the symbiotic gastrodermis when compared with the aposymbiotic gastrodermis and epidermis of symbiotic anemones, respectively. This indicates that the presence of symbionts negatively regulates host apoptosis, possibly contributing to their persistence within the host. Transcripts (ATM/ATR) associated with DNA damage were also downregulated in symbiotic gastrodermal tissues. In epidermal cells, a single gene (Mob1) required for mitotic completion was upregulated in symbiotic compared with aposymbiotic anemones, suggesting that the presence of symbionts in the gastrodermis stimulates host cell division in the epidermis. To further corroborate this hypothesis, we performed microscopic analysis using an S-phase indicator (EdU), allowing us to evaluate cell cycling in host cells. Our results confirmed that there were significantly more proliferating host cells in both the gastrodermis and epidermis in the symbiotic state compared with the aposymbiotic state. Furthermore, when comparing between tissue layers in the presence of symbionts, the epidermis had significantly more proliferating host cells than the symbiont-containing gastrodermis. These results contribute to our understanding of the influence of symbionts on the mechanisms of cnidarian cell proliferation and mechanisms associated with symbiont maintenance.
Study of Mechanical Performance of BN Grafted Graphene Oxide Hybrid Aerogel for Polypropylene Composites
Authors: Nishanth P. , Vimala G. , Girisha L. , Jayan M. Mahaveer Sree , Balamanikandasuthan K. , Rajesh A. S. , Girish V. K. , Prabu R. Thandaiah , Anbese Endalkachew Mergia
Published: May 2022

Boron nitride‐strengthened polymer matrix composites based on 3‐dimensional porous materials are a considerable problem to develop. GO‐BN aerogel (GO‐BN) has been generated using a unique method for manufacturing large‐scale 3D BNs and graphene oxide (GO) aerogels. Propylene was then added to the aerogel and polymerized in situ to create GO–BN/PP nanocomposites. Afterwards, the outcomes show that BNs and GO‐BN were successfully established and that the 3D outlines using GO‐BN aerogel have outstanding mechanical properties. Around 1% of the nanocomposite was used in its construction. This aerogel’s thermal conductivity was 0.135 W/mK, and its mechanical properties were greatly improved over those of pristine PP, with increases of 10.12 percent in tensile strength and 48.4 percent in flexural strength and 61.5 percent in compression strength. They may now be produced in big quantities using this simple preparation procedure.
Comprehensive Pan-Cancer Analysis Reveals the Role of UHRF1-Mediated DNA Methylation and Immune Infiltration in Renal Cell Carcinoma
Authors: Pan Xiao , Li Caiqin , Cai Yanqun , Wu Susu
Published: May 2022

Ubiquitin-like PHD and ring finger domain protein 1 (UHRF1) are members of the multifunctional UHRF family, which can participate in DNA methylation change and histone posttranslational change through particular domains and participate in the event and development of tumors. The purpose of this study was to decide the molecular traits and potential medicine-based importance of UHRF1 that helped settle methylated immune infiltration in generalized cancer by carefully studying the relationship between UHRF1 expression and a variety of tumors and to further check for truth the functional role of UHRF1 in kidney-related cancer. A comprehensive analysis of UHRF1 in 33 cancers was performed based on TCGA database. This research involves analysis of mRNA expression profiles, prognostic value, immune infiltration, immune neoantigens, TMB, microsatellite instability, DNA methylation, and gene set enrichment analysis (GSEA). Both immune infiltration and DNA methylation were used to evaluate the importance and method of UHRF1 in renal cancer. The results showed that tumor tissue had higher expression level of UHRF1 than usual tissue. The high expression level of UHRF1 is related to the survival rate of renal cancer. UHRF1 expression was associated with tumor mutation load and microsatellite instability in different cancer types, and enrichment analysis identified terminology and pathways associated with UHRF1. This study showed that UHRF1 plays an important role in the group of objects and development of 33 tumors. UHRF1 may serve as a biomarker of immune infiltration and poor outlook of cancer.
Failure Characteristics and Deformation Control Methods of the Bottom Drum of Roadways during Repeated Mining of Multiple Coal Seams
Authors: Zhao Changzheng , Cao Shenggen , Du Shuyu , Che Chiyuan , Wang Xingyao
Published: May 2022

As the problems of serious bottom drum and roadway broken surrounding rock are influenced by repeated mining in multiple coal seams, the factors affecting the surrounding rock deformation of a +980 m roadway in Faer coal mine by analyzing the rock composition and obtaining borehole video data are investigated. The mechanism of the overburden caving affected by repeated mining of multiple coal seams is analyzed theoretically, and the numerical simulation is conducted to evaluate the deformation mechanism of roadway bottom drum. A combined support technology is proposed consisting of bolts, anchor cables, grouting, and pressure relief grooves. The measurements obtained during a 50 d monitoring period indicate that the deformations of the roof, floor, and both sides of roadway in the repaired and reinforced section are only 26, 56, and 26 mm, respectively. The fissures filled with slurry in the rock surrounding roadway can prevent further deformation of the rock mass.
An Improved VSLAM for Mobile Robot Localization in Corridor Environment
Authors: Ge Gengyu , Qin Zhong , Fan Lilve
Published: May 2022

Localization is a fundamental capability for an autonomous mobile robot, especially in the navigation process. The commonly used laser-based simultaneous localization and mapping (SLAM) method can build a grid map of the indoor environment and realize localization task. However, when a robot comes to a long corridor where there exists many geometrically symmetrical and similar structures, it often fails to position itself. Besides, the environment is not represented to a semantic level that the robot cannot interact well with users. To solve these crucial issues, in this paper, we propose an improved visual SLAM approach to realize a robust and precise global localization. The system is divided into two main steps. The first step is to construct a topological semantic map using visual SLAM, text detection and recognition, and laser sensor data. The second step is the localization which repeats part work of the first step but makes the best use of the prebuilt semantic map. Experiments show that our approach and solutions perform well and localize successfully almost everywhere in the corridor environment while traditional methods fail.
Selection of Smart Manure Composition for Smart Farming Using Artificial Intelligence Technique
Authors: Ather Danish , Madan Suman , Nayak Manjushree , Tripathi Rohit , Kant Ravi , Kshatri Sapna Singh , Jain Rituraj
Published: May 2022

A modern worldview has developed in rural methods, devices, and advances. Exactness in agribusiness is required to guarantee site-specific editing of administration, which incorporates soil supplement arrangements that are custom fitted to each crop’s needs. In spite of the fact that preparation is vital for expanding efficiency, it is vital to dissect the possibilities and impediments of soil as a premise for selecting the correct manure sort, amount, and application time to dodge compost utilization instability. Farmers’ dependence on instinct, trial and mistake, mystery, and assessing significantly includes major wasteful aspects such as efficiency misfortunes, asset squandering, and expanded natural defilement due to the complexity of deciding the perfect preparing extend. Agriculturists cannot successfully estimate the impacts of their choices on yield and the environment when utilizing these. This paper illustrates why manure regimes should be adjusted to meet the demands of certain crops and regions, as well as to safeguard the environment by reducing pollution caused by fertilizer and manure waste. A few soil-richness administration strategies, such as the utilization of versatile research facilities or imported gear, have confronted obstacles in terms of fetched, comfort of utilization, and adaption to the neighborhood environment. Other choices, such as sending soil to research facilities for testing, are badly designed, time-consuming, and conflicting. Based on the climate estimate, this thing should be suggested according to the development of an ANN and show the estimates of NPK supplement levels and offer the fitting compost treatment and application timing.
COMSATS Face: A Dataset of Face Images with Pose Variations, Its Design, and Aspects
Authors: Haq Mahmood Ul , Sethi Muhammad Athar Javed , Ullah Rehmat , Shazhad Aamir , Hasan Laiq , Karami Ghulam Mohammad
Published: May 2022

Due to the three-dimensional formation and flexibility, a human face may appear different in numerous events. Researchers are developing robust and efficient algorithms for face detection, face recognition, and face expression analysis, causing several difficulties due to face poses, illumination, face expression, head orientation, occlusion, hairstyle, etc. To determine the effectiveness of the algorithms, it needs to be tested using a specific benchmark of face images/databases. Face pose is an important factor that severely reduces the recognition ability. In this paper, two contributions are made: (i) a dataset of face images with multiple poses is introduced. The dataset includes 850 images of 50 individuals under 17 different poses (0°, 5°, 10°, 15°, 20°, 25°, 30°, 35°, 55°, -5°, -10°, -15°, -20°, -25°, -30°, -35°, -55°). These images were captured closed to real-world conditions in the time span of five months in COMSATS University, Abbottabad Campus. Face images included in this dataset can reveal the efficiency and robustness of future face detection and face recognition algorithms. (ii) A comparative analysis of three face recognition algorithms such as PAL, PCA, and LDA is presented based on the proposed face database.
An Improved Solar Cooling System for Date Safety and Storage under Climate of the Maghreb
Authors: Afif Benameur , Merabet Boualem , Inc Mustafa , Menni Younes , Alsharif Sameer , Althobaiti Ahmed , Aly Ayman A.
Published: May 2022

As a freely available energy source for managing long-term issues in energy crisis, solar energy (SE) will have to grow more to meet world’s energy demands. Maghreb countries have launched international tenders for large-scale solar power projects, confirming north African countries’ goals to become green-power leaders, by enforcing renewable energy development policies. This work is aimed at simulating and designing a SE cooler to safely store quality and tasty dates. By optimizing the storage parameters and cooling gas with less energy consumption, R152a has been confirmed as a reliable refrigerant to own high critical temperature, sufficient specific heat capacity, and potential cost-effectiveness of compression. Safe packaging in Tolga-Algeria-Dates food company can be achieved by safe cooling systems that is aimed at wide variation of energy storage and delivery requirements of the manufacturing process. The performance ratio (

P

R

) and energy losses have been analyzed by using the PVsyst software. The paper is also aimed at studying load requirements of an SE cooler of dates, designing/installing a standalone solar PV system, and modeling the refrigerant gas of the SE cooler, done with INTARCON software and SOLKANE refrigerant software program.

P

R

and loss analysis has been done using PVsyst. Total amounts of yearly energy injected into grid and nominal PV array energy are estimated to be, respectively, 84.536 and 85.861 MWh, while total yearly losses of the system are estimated to be 15.5 MWh. It reveals that the PV system efficiency set from ~10% in winter to 11.3% in summer, while

P

R

rises from a 77.5% in July to 89.3% in December. Future research will design of energy consumption monitoring of the PV system, favoring SE cooling of dates. Via PVsyst concrete realities of PV performance and insights for better operational monitoring were well understood.
Value of 5-Hydroxymethylcytosine in HBV-Carrying High-Risk Hepatocellular Carcinoma Population: An Evaluation Based on Differential Analysis
Authors: Yu Jiao , Gao Guofeng , Wang Jing , Zhao Jieqiong , Zhang Yu , Jiang Dong , Huang Feihu
Published: May 2022

Objective. To clarify the application value of 5-hydroxymethylcytosine (5hmC) in evaluating the progression of chronic hepatitis B (CHB) to hepatocellular carcinoma (HCC) based on difference analysis. Methods. A total of 180 patients were enrolled. Among them, 84 patients with chronic hepatitis B virus (HBV) infection while no progression to hepatocellular carcinoma (HCC) were included in the control group (CG), and 96 patients with HCC developed from HBV infection were included in the research group (RG). Two-thirds of the samples were used in the training set and 1/3 samples in the validation set to detect the level of 5hmC in both groups based on the modified nano-hmC-Seal technique. The expression levels of 5hmC-related genes TET2 and TET3 were quantified by qPCR, and the correlation between TET3 and 5hmC was analyzed by Pearson’s correlation coefficients. Receiver operating characteristic (ROC) curves were drawn to evaluate the application value of the TET3-based 5hmC prediction model in the early diagnosis of HCC. Results. (i) The expression of 5hmC in RG was lower than that in CG, no matter in the training set or the validation set. (ii) 5hmC was significantly enriched in the region between the transcription initiation site and the transcription end site but was depleted in the flanking region. (iii) 5hmC-related genes TET2 and TET3 were significantly downregulated in HCC patients, whether in the training set or the validation set. (iv) In both the training and validation sets, TET3 showed a positive association with 5hmC. (v) ROC analysis results showed that the 5hmC prediction model could be used to predict the progression of CHB to HCC (training set:

AUC
=
0.81

, 0.729-0.893; validation set:

AUC
=
0.84

, 0.739-0.936). Conclusions. TET3 expression based on 5hmC sequencing is a landmark molecule for evaluating the progression of HCC in CHB patients, which is worthy of further study and promotion.
Construction of Evaluation Model for Transformation and Development of Rural Areas in Energy-Enriched Poverty-Stricken Areas
Authors: Liang Bo
Published: May 2022

Because of the particularity of energy being non-renewable, the development of energy-intensive cities must consider its follow-up development issues in advance, especially for newly developed energy-intensive cities like Songyuan in the midwest of Jilin Province. It is necessary to summarize the experience from other energy-intensive cities and recognize the problems existing in its own development, so that the development of the city will not perish due to the exhaustion of energy. At present, the sustainable development of energy-intensive cities is the focus of attention at home and abroad. Energy-intensive cities have made great contributions to the national and regional economy but also paid a considerable price. Making the city continue to prosper and develop steadily without causing the city to decline due to the exhaustion of energy is the main problem facing the country, the government, and experts and scholars. Taking Songyuan City in Northeast China as an example, this paper adopts a combination of breakthroughs from the surface and breakthroughs, supplemented by theoretical analysis and empirical evaluation, and uses mathematical model simulation and expert consultation and decision-making methods. Starting from the theoretical height of man-land harmony and sustainable development, we construct an evaluation model of rural development status in energy-enriched poverty-stricken areas, evaluate the evolution trend of rural development status, and propose leading models and development strategies for rural transformation and development in energy-enriched poverty-stricken areas. It provides theoretical reference and decision-making basis for the sustainable development of rural Songyuan City.
Edge Computing for Water Quality Monitoring Systems
Authors: Ren Jianxun , Zhu Qiliang , Wang Changsheng
Published: May 2022

Aiming at the problems of insufficient real time and accuracy of water quality online monitoring and large resource consumption, this paper proposes a water quality monitoring and early warning method based on edge computing. Combined with Internet of things technology and edge computing technology, an online water quality monitoring and early warning model is designed. Through the preprocessing of the collected source data, the monitoring accuracy is improved, and edge computing technology is introduced to preliminarily analyze and process the collected data in the monitoring station, so as to save network traffic and computing resources. On the basis of online monitoring, the water quality prediction model is established by using historical water quality monitoring data to realize water quality prediction and provide a basis for staff scientific decision-making. Engineering practice shows that the model has high application value.
Evaluation of Dermal Toxicity and Wound Healing Activity of Cnestis ferruginea Vahl ex DC
Authors: Ankomah Akosua Dufie , Boakye Yaw Duah , Agana Theresah Appiah , Boamah Vivian Etsiapa , Ossei Paul Poku Sampene , Adu Francis , Agyare Christian
Published: May 2022

Cnestisferruginea is a tropical plant, which is traditionally used in the treatment and management of various conditions including skin infections and wounds. The aim of this study was to investigate the dermal toxicity and wound healing potential of C. ferruginea. Ten millimeter full-thickness mucosal wounds were created on the dorsal midportion of the Sprague Dawley rats. Wounds were treated with 10, 5, and 2.5% w/w aqueous creams, prepared from the methanol extract of the root bark of C. ferruginea (CFM). The wound tissues were harvested on day 21 for histology studies. Compared with the untreated group, 10, 5, and 2.5% w/w CFM-treated wounds significantly reduced the wound size over the study period (

P
<
0.0001

). Tissue histology revealed a healed wound with well-regenerated collagen and skin appendages with no pus cells. A skin irritation test was conducted on CFM, as well as the dermal toxicity of CFM was determined in the repeated dose and acute dermal toxicity bioassays. These tests revealed that CFM showed no toxic effect on the skin and showed that CFM was not a skin irritant. C. ferruginea exhibited wound healing activity, which gives credence to its folkloric use.
The Effect of Comprehensive Use of PDCA and FMEA Management Tools on the Work Efficiency, Teamwork, and Self‐Identity of Medical Staff: A Cohort Study with Zhongda Hospital in China as an Example
Authors: Chen Hui , Tao Zhao , Zhou Chen , Zhao Su , Xing Yanan , Lu Min
Published: May 2022

Objective. Taking Zhongda Hospital in China as an example, this study discusses the impact of comprehensive use of PDCA and FMEA management tools on the work efficiency, teamwork, and self‐identity of medical staff. Methods. Two hundred medical staff in our hospital from January 2020 to December 2021 were selected as the research subjects, and the 200 medical staff were divided into a control group and a research group by the digital table method, with 100 cases in each group. The medical staff in the control group implemented conventional system management methods, while the research group comprehensively used PDCA and FMEA management tools based on implementing conventional system management. The differences in work efficiency, teamwork, and self‐identity of medical staff were compared. Results. Before the study, there exhibited no significant difference in the work efficiency, teamwork, and self‐identity scores of medical staff (P > 0.05). After an intervention, the work efficiency, teamwork, and self‐identity scores of medical staff in the study group were higher than those in the control group (P < 0.05). After the intervention, the management quality score of the research group was higher than that of the control group (P < 0.05); after the intervention, the medical staff in the research group had lower work efficiency, insufficient professional ability, and insufficient management system cognitive behaviours than that in the control group (P < 0.05). Conclusion. The comprehensive use of PDCA and FMEA management tools in internal hospital management can remarkably enhance the work efficiency, teamwork, and self‐identity of medical staff.
Gonadoblastoma with Dysgerminoma Presenting as Virilizing Disorder in a Young Child with 46, XX Karyotype: A Case Report and Review of the Literature
Authors: Chandrapattan Prathamesh , Jena Amitabh , Patnayak Rashmi , Mangaraj Swayamsidha , Naik Sujata , Panda Saroj
Published: May 2022

Gonadoblastoma is a neoplasm containing an intimate mixture of germ cells and elements resembling immature granulosa or Sertoli cells. It has been considered as in situ germ cell malignancy that can be associated with malignant components. The tumor has been reported to almost exclusively develop in various types of gonadal gene mutation syndromes, such as in pure or mixed gonadal dysgenesis and among females carrying Y chromosome material. However, it can be rarely present in normal women with 46, XX karyotype. Ovarian gonadoblastoma presenting with signs of contrasexual puberty in a young female child with normal 46, XX karyotype is an extremely rare clinical entity and seldom reported in the literature. We report a case of a nine-year-old girl child who presented with signs of virilization and contrasexual pubertal development. A detailed clinical evaluation along with supportive biochemical and radiological findings pointed to the presence of a virilizing ovarian tumor. The patient underwent right salpingo-oophorectomy, pelvic node dissection, and infracolic omentectomy. The excised tumor was confirmed to be gonadoblastoma which was overgrown by dysgerminoma on histopathological evaluation. The presence of associated malignant tumors (like dysgerminoma) should always be ruled out in cases of gonadoblastoma.
An EVP Double‐Yield Nonstationary Flow Surface Model for Soft Clay
Authors: Chang Liucheng , Wang Hongyu , Wang Ya
Published: May 2022

According to experimental findings, soft clay has compression and shear creep. The goal of the study is to develop an elastic‐viscoplastic (EVP) model for the viscous behavior of soft clay. The new EVP model is deduced from the associated flow rule, Yin’s double‐yield surface theory, and the critical state soil mechanics. The nonstationary flow surface model with double‐yield surface, compared to other existing models, considers the compression and shear creep properties of soft clay. The model parameters can be identified from two sorts of tests (i.e., the general triaxial tests and triaxial rheological tests). Different types of soft clay, such as Tianjin Coastal clay, Shantou dredger fill, and silted soil in front of dam, were tested to verify the accuracy of the constructed model. All comparisons of computed and experimental findings revealed that the new EVP model accurately reflected the time‐dependent behaviors of soft clay in both shear and compression creep.
Adsorption of Chromium Ions from Aqueous Solutions by Synthesized Nanoparticles
Authors: Kandasamy Senthilkumar , Velusamy Sampathkumar , Thirumoorthy Pradeep , Periyasamy Mageshkumar , SenthilkumarVeerasamy  , Gopalakrishnan K. M. , Sathish U. , Kiramani Vallarasu , Antrini Fathima Darras Gracy , Periyasamy Selvakumar
Published: May 2022

In the present manuscript, an attempt has been made to remove chromium metal ions from synthetic effluent using adsorption process. The synthesized titanium dioxide nanoparticles were used as adsorbents. Adsorption studies were performed in batch process. Various characterization of synthesized nanoparticles such as XRD analysis, optical properties of nanoparticles using UV‐visible absorption spectroscopy, concentration of chemical bonds, and atomic arrangement using (FTIR) have been performed and analyzed. The dependency of adsorption percentage of metal ions and equilibrium amount of metal adsorbed with respect to pH, adsorbent dosage, initial concentration, and temperature are studied. Mechanisms of metal ion adsorption process explained by various adsorption isotherms and adsorption kinetic models. The criteria for statistical significance of correlation coefficient (R2) for fitting the experimental data to the various isotherms were tested and analyzed. The experimental results reveal that synthesized titanium dioxide nanoparticles could be used as adsorbents in order to remove chromium ions present in industrial wastewater.
An Aggregating Prediction Model for Management Decision Analysis
Authors: Guo Jianhong , Chang Che-Jung , Huang Yingyi , Zhang Xiaotian
Published: May 2022

Facing an increasingly competitive market, enterprises need correct decisions to solve operational problems in a timely manner to maintain their competitive advantages. In this context, insufficient information may lead to an overfitting phenomenon in general mathematical modeling methods, making it difficult to ensure good analytical performance. Therefore, it is important for enterprises to be able to effectively analyze and make predictions using small data sets. Although various approaches have been developed to solve the problem of prediction, their application is often limited by insufficient observations. To further enforce the effectiveness of data uncertainty processing, this study proposed an aggregating prediction model for management decision analysis using small data sets. Compared with six popular approaches, the results from the experiments show that the proposed method can effectively deal with the small data set prediction problem and is thus an appropriate decision analysis tool for managers.
Petrophysical Characterization and Gas Accumulation of Wufeng-Longmaxi Shale Reservoir in Eastern Margin of Sichuan Basin, SW China
Authors: Wang Wei , Li Dahua , Cheng Lijun , Zhang Ye , Wang Jinxi , Zhang Zhiping , Zhang Hualian , Guo Dongxin , Zhang Yuelei , Hua Qing , Liu Jun
Published: May 2022

Shale gas plays a significant role in meeting the increasing demand of energy resources, which enables the exploration and exploitation of gas from shale reservoir to be emphasized gradually. Aiming to serve a more responsible and efficient shale gas development, for example, to guide the hydraulic/nonaqueous fracturing operation, this work organized a comprehensive assessment on the petrophysical characterization and gas accumulation of the Upper Ordovician Wufeng-Lower Silurian Longmaxi shale reservoir (abbreviated as WL shale). Results indicate that the WL shale in Well-YC4 contains three third-order sequences (SS1-lower WL, SS2-middle WL, and SS3-upper WL), and each sequence contains a transgressive system tract (TST) and a high-stand system tract (HST), according to the logging information. Meanwhile, the SS1, SS2, and SS3 experienced variable sedimentary environment—with different relatively oxygenic and hydrodynamics. And the bottom section (SS1 and SS2) has a soft great brittle index (BI) value than the upper section (SS3), suggesting the bottom WL shale is better suited for hydraulic fracturing than the upper section. Besides, the organic matter indicates the WL shale has a decent hydrocarbon generation ability, and the thermal evolution degree is also conducive to the full generation of shale gas. The gas content of WL shale ranges in the scope of 0.76 m3/t~2.38 m3/t, in which CH4 is the primary composition and occupies 95.51%~99.36%, and the content of heavy hydrocarbon gases is limited. Besides, the drying coefficient indicates the dry gas is the dominate molecular composition in the gas content of WL shale. Hopefully, this work is instructive to a certain extent for the researchers and engineers who are working on WL shale gas in Sichuan basin.
Machine Learning-Based Intelligent Scoring System for English Essays under the Background of Modern Information Technology
Authors: Fu Shaoyun , Chen Hongfu
Published: May 2022

This work is to reduce the workload of teachers in English teaching and improve the writing level of students, so as to provide a way for students to practice English composition scoring independently and satisfy the needs of college teachers and students for intelligent English composition scoring and intelligently generated comments. In this work, it firstly clarifies the teaching requirements of college English classrooms and expounds the principles and advantages of machine learning technology. Secondly, a three-layer neural network model (NNM) is constructed by using the multilayer perceptron (MLP), combined with the latent Dirichlet allocation (LDA) algorithm. Furthermore, three semantic representation vector technologies, including word vector, paragraph vector, and full-text vector feature, are used to represent the full-text vocabulary of English composition. Then, a model based on the K-nearest neighbors (kNN) algorithm is proposed to generate English composition evaluation, and a final score based on the extreme gradient boosting (XGBoost) model is proposed. Finally, a model dataset is constructed using 800 college students’ English essays for the CET-4 mock test, and the model is tested. The research results show that the semantic representation vector technology proposed can more effectively extract the lexical semantic features of English compositions. The XGBoost model and the kNN algorithm model are used to score and evaluate English compositions, which improves the accuracy of the scores. This makes the management of the entire scoring model more efficient and more accurate. It means that the model proposed is better than the traditional model in terms of evaluation accuracy. This work provides a new direction for the application of artificial intelligence technology in English teaching under the background of modern information technology.
Construction of Prediction Model of Renal Damage in Children with Henoch-Schönlein Purpura Based on Machine Learning
Authors: Cao Tingting , Zhu Ying , Zhu Youyu
Published: May 2022

Objective. The children with Henoch-Schönlein purpura (HSP) may suffer from renal insufficiency, which seriously affects the life and health of the children. This study aims to construct a prediction model of Henoch-Schönlein purpura nephritis (HSPN). Methods. A total of 240 children with HSP treated in dermatology and pediatrics in our hospital were selected. The general information, patients’ clinical symptoms, and laboratory examination indicators were collected for feature selection, and the XGBoost algorithm prediction model was built. Results. According to the input feature indexes, the top ten crucial feature indicators output by the XGBoost model were urine N-acetyl-β-D-aminoglucosidase, urinary retinol-binding protein, IgA, age, recurrence of purpura, purpura area, abdominal pain, 24-h urinary protein quantification, percentage of neutrophils, and serum albumin. The areas under the curves of the training set (0.895, 95% CI: 0.827-0.963) and test set (0.870, 95% CI: 0.799-0.941) models were similar. Conclusion. The prediction model based on XGBoost is used to predict HSP renal damage based on clinical data of children, which can reduce the harm caused by invasive examination for patients.
Differential Trust and Hierarchical Regulation: A Study of the Effectiveness of Rumor Refutation on Government Micro‐Blogs—Analysis Based on 1290 Rumor Refutation Messages
Authors: Li Wanlian , Chen Xing
Published: May 2022

Purpose/Significance. This study aims to explore the differences in the effectiveness of rumor refutation dissemination on government micro‐blogs and to identify factors that may lead to such differences, so as to provide reference for the management of emergencies and to improve the effectiveness of rumor refutation. Methodology/Procedure. Using Octopus software to collect data from thirty government micro‐blogs, the number of retweets, likes, and comments were used as indicators of the effectiveness of refutation dissemination and different levels of government micro‐blogs were used as moderating variables to construct a regression model of the effect of content features and text features on refutation dissemination. The regression model was constructed to test the moderating effects of micro‐blog content and text features on the effectiveness of micro‐blog refutation. Results/Conclusions. The empirical results show that whether a micro‐blog is from the region or not and whether a micro‐blog has a title or not have a significant effect on the effectiveness of micro‐blog refutation dissemination. Therefore, refutation strategies such as combining layers, giving equal importance to content and form, and focusing on originality can be adopted to enhance the refutation effect of government micro‐blogs.