bluuebunny/crossref_metadata_2025 huggingface dataset:
Neuron-Specific Enolase and Hemoglobin as Risk Factors of Intraocular Metastasis in Patients with Renal Cell Carcinoma
Authors: Li Qiu-Yu , Su Ting , Shi Wen-Qing , Fang Jian-Wen , Zhang Meng-Yao , Xu Qian-Hui , Liang Rong-Bin , Ge Qian-Min , Li Biao , Shao Yi
Published: April 2022

Renal cell carcinoma (RCC) appears to be a high risk of spread. This research investigated the correlation between a different range of clinical features and intraocular metastasis (IOM) in RCC patients and attempted to determine potential risk factors of RCC patients with IOM. In the study, there are a total of 351 patients with RCC that were recruited between May 1994 and May 2016. The differences between RCC patients with IOM and RCC patients with non-IOM (NIOM) were evaluated by the chi-squared test and Student t test. Binary logistic regression analysis was applied to determine risk factors. Finally, the value of diagnosis for RCC patients with IOM was assessed by receiver operating characteristic (ROC) curve analysis. Eighteen individuals were identified with IOM. There were no significant differences that were detected in alkaline phosphatase (AFP), carcinoembryonic antigen (CEA), alkaline phosphatase (ALP), cancer antigen 125 (CA-125), cancer antigen 153 (CA-153), cancer antigen 199 (CA-199), calcium, age, primary tumor site, and histopathological subtypes between the two groups. But there was a difference in terms of gender (

P
<
0.05

). The IOM group exhibited significantly higher neuron-specific enolase (NSE) and lower hemoglobin (Hb) values compared to the NIOM group (

P
<
0.05

, respectively). Binary logistic regression identified NSE and Hb as significant risk factors of IOM for RCC patient (

P
<
0.05

and

P
<
0.001

, respectively). The ROC curve analysis indicated that the area under the curve (AUC) values of NSE and Hb were 0.694 and 0.749, while cut-off values were 49.5 ng/mL and 102.5 g/L, respectively. The sensitivity and specificity of NSE were 72.2% and 66.4%, respectively, while those of Hb were 72.2% and 74.2%, respectively. The result reveals that NSE and Hb represent promising significant risk factors of IOM for RCC patients. Notably, Hb is more reliable than NSE in distinguishing case of IOM from NIOM in patients with RCC.
An Ant Colony Optimization-Based Routing Algorithm for Load Balancing in LEO Satellite Networks
Authors: Deng Xia , Zeng Shouyuan , Chang Le , Wang Yan , Wu Xu , Liang Junbin , Ou Jiangtao , Fan Chengyuan
Published: April 2022

Satellite networks can provide a wider service range and lower delay than traditional terrestrial optical fiber networks. However, due to the bursty characteristic of the Internet traffic and the distributive feature of satellite links, traffic-intensive areas often suffer from link congestion while links in other areas are underutilized, i.e., the traffic imbalance problem in LEO satellite networks. In this paper, an ant colony optimization routing algorithm with window reduction for LEO satellite networks, ACORA-WR, is proposed to achieve load balancing. ACORA-WR limits the movement of the ant colony to a specific range and comprehensively considers the path distance, transmission direction, and link load to find a path with low delay and overhead. Simulation results verify that the proposed ACORA-WR scheme demonstrates high data delivery ratio and network throughput, while ensuring low average delay and network transmission overhead.
Association of Septic Shock with Mortality in Hospitalized COVID-19 Patients in Wuhan, China
Authors: Chen Shaoqiu , Gao Zitong , Hu Ling , Zuo Yi , Fu Yuanyuan , Wei Meilin , Zitello Emory , Huang Gang , Deng Youping
Published: April 2022

Purpose. Septic shock is a severe complication of COVID-19 patients. We aim to identify risk factors associated with septic shock and mortality among COVID-19 patients. Methods. A total of 212 COVID-19 confirmed patients in Wuhan were included in this retrospective study. Clinical outcomes were designated as nonseptic shock and septic shock. Log-rank test was conducted to determine any association with clinical progression. A prediction model was established using random forest. Results. The mortality of septic shock and nonshock patients with COVID-19 was 96.7% (29/30) and 3.8% (7/182). Patients taking hypnotics had a much lower chance to develop septic shock (HR = 0.096,

p
=
0.0014

). By univariate logistic regression analysis, 40 risk factors were significantly associated with septic shock. Based on multiple regression analysis, eight risk factors were shown to be independent risk factors and these factors were then selected to build a model to predict septic shock with AUC = 0.956. These eight factors included disease severity (HR = 15,

p
<
0.001

), age > 65 years (HR = 2.6,

p
=
0.012

), temperature > 39.1°C (HR = 2.9,

p
=
0.047

), white blood cell count > 10 × 10⁹ (HR = 6.9,

p
<
0.001

), neutrophil count > 75 × 10⁹ (HR = 2.4,

p
=
0.022

), creatine kinase > 5 U/L (HR = 1.8,

p
=
0.042

), glucose > 6.1 mmol/L (HR = 7,

p
<
0.001

), and lactate > 2 mmol/L (HR = 22,

p
<
0.001

). Conclusions. We found 40 risk factors were significantly associated with septic shock. The model contained eight independent factors that can accurately predict septic shock. The administration of hypnotics could potentially reduce the incidence of septic shock in COVID-19 patients.
College Sports Multimedia Network Based on Wireless Communication and Deep Learning Network Environment
Authors: Liu Shihong , Chen Qiao
Published: April 2022

At this stage, network information technology has been fully popularized and widely used in various fields and has achieved remarkable results. In the development of physical education courses in colleges and universities, the effective use of multimedia and network-assisted teaching can greatly improve the physical quality of college students, stimulate students’ interest in physical education courses, and promote students’ all-round development. Therefore, after the teaching is over, comparative analysis is used to compare the teaching effects of the computer network educational pattern and the previous educational pattern to determine the suitability of the university sports multimedia network system. The experiment proved that the fertility and health test scores of the reference team have been partially improved (the fertility and health test scores of the reference team increased from 3.05 points to 3.87 points), and the fertility and health test scores of the experimental group students have been greatly improved (the fertility and health test scores of the experimental group increased from 3.24 points to 5.58 points), which shows that the multimedia network teaching has broken passing the constraints of times and spatial limitations. Students can learn sports knowledge even in extracurricular time. It complements the traditional teaching methods of precepts and deeds and is the development trend of modern physical education.
Apoptosis-Associated Gene Expression Profiling Is One New Prognosis Risk Predictor of Human Rectal Cancer
Authors: Zhu Qiansan , Wu Xian , Ma Lili , Xue Haibo
Published: April 2022

Background. Prior research has revealed the predictive significance of a series of genetic markers in the prognosis of rectal cancer (RC), but the roles of apoptosis-associated genes in RC are rarely studied. Methods. The RNA-seq data as well as clinical data about patients with rectum adenocarcinoma (READ) were downloaded from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) project. Additionally, 87 apoptosis-associated genes were downloaded and acquired from Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Comprehensive bioinformatics analysis was carried out for deep exploration of the expression and prognostic significance of these genes. Least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis was performed for the establishment of a risk scoring equation for the prognosis model and construction of a survival prognosis model. ROC curves were drawn for evaluating the accuracy of the model. A real-time quantitative PCR assay was conducted for quantification of apoptosis-associated proteins related to prognosis. Results. Eight genes were identified as hub genes associated with the prognosis of PFS. A risk model of prognosis prediction based on four gene signatures (CYCS, IKBKB, NFKB1, and TRADD) was constructed. According to further analysis of this model, the high-risk group experienced worse overall survival than the other. The prognosis model demonstrated a favorable predictive ability, with areas under the receiver operating characteristic curves (AUC) of 0.720, 0.641, and 0.677 in forecasting the 1-, 2-, and 3-year prognosis, respectively. In addition, CYCS and NFKB1 presented low expression, while IKBKB and TRADD presented high expression in TCGA and clinical tumor samples. Conclusions. A four-gene signature risk model for prognosis forecasting of RC has been constructed, which possesses favorable predictive ability, which offers ideas and breakthrough points to the apoptosis-associated development of RC.
Construction of Intelligent Service System for Adolescent Students’ PE Based on Big Data Analysis
Authors: Jifang Yuan , Jianguo Chen
Published: April 2022

As an important gateway to talent training, a university should monitor the physique of college students in real time and effectively cultivate their physical quality. Under the background of big data, it is necessary to construct the intelligent service system of students’ physical health (PE) in time, realize unified management, provide strong support for improving decision-making at all levels, ensure the orderly development of physical examination, and find and solve related problems in time. In this paper, the adolescent students’ PE is taken as the research object, and driven by big data, the intelligent service system of Chinese adolescent students’ PE is studied. Students’ PE test system based on data mining makes use of modern computer technology, breaks through many limitations of traditional manual test, transfers the traditional test form to computer, and uses IT to complete test and data analysis efficiently and accurately with the advantage of computer. This not only improves college students’ health awareness, health status, and participation enthusiasm but also significantly improves the work efficiency of health management institutions.
The Effect of Different Treatment Methods on Acute Acquired Concomitant Esotropia
Authors: Huang Xiaoqi , Meng Yanfang , Hu Xuemin , Zhao Yijia , Ye Meihong , Yi Beixi , Zhou Lianhong
Published: April 2022

Objective. The application of botulinum toxin type A (BTXA) in the treatment of paralytic strabismus has been recognized, but there are few studies on the treatment of acute acquired comitant esotropia (AACE). This study was aimed to investigate the clinical characteristics of AACE and compare the therapeutic effects of BTXA and traditional surgery. Methods. 78 patients with AACE in Renmin Hospital of Wuhan University between March 2019 and March 2021 were reviewed. The relevant medical records of the patients were collected, and they were divided into surgical group (

n
=
46

) and botulinum toxin type A (BTXA) group (

n
=
32

) according to different treatment approaches. The surgical group was treated with squint correction, whereas the BTXA group was treated with microinjection of BTXA in MR. Eye alignment, esotropia, stereopsis, and complications were examined before and after treatment in both groups. Results. The refractive status of 78 patients with AACE was mostly myopic refractive error. In general, the angle of esotropia at distance was larger than which at near, with a statistically significant difference. At follow-up assessments of 1 week, 1 month, 3 months, and 6 months after treatment, the total effective rates of the surgical group and the BTXA group were 100% and 90.48%, respectively. The residual angle of esotropia of both groups was lower after treatment. Additionally, the incidence rate of complications in the BTXA group was significantly lower than that in the surgical group. Conclusion. AACE occurs mostly in people with myopic refractive errors and is associated with prolonged near work. Besides surgical treatment, micro-injection of BTXA is also an effective and safe treatment for AACE.
Determinants of Sesame Market Supply in West Omo and Bench Sheko Zones, Southwest Ethiopia
Authors: Belayneh Agegnehu Workye , Yesho Engida Gebere , Gemeyida Kusse Haile
Published: April 2022

Farmers depend on sesame farming as their major source of income in West Omo and Bench Sheko zones. However, they face diverse marketing challenges to deliver their product to the market. Therefore, the study aimed to investigate the variables that affect sesame market supply in West Omo and Bench Sheko zones. The study’s data were gathered from primary and secondary sources. Multistage random sampling was employed to select 270 sample sesame producers. The analysis was done using descriptive statistics as well as econometric models. Multiple regression model results showed that total livestock unit, sesame farming experience, cooperative membership, family size, land under sesame, annual off-farm income, participation in training, and distance to the nearest market significantly affected the amount of sesame supplied to the market. The study recommends strengthening sesame producer cooperative, promoting experience sharing among experienced farmers, improving transportation accessibility and infrastructure development, increasing productivity by fortifying extension service providers, and encouraging sesame producers to participate actively in various trainings.
Brain Network for Exploring the Change of Brain Neurotransmitter 5-Hydroxytryptamine of Autism Children by Resting-State EEG
Authors: Shao Jun , Zhang Fan , Chen Chuanzhi , Wang Ye , Wang Qiang , Zhou Jie
Published: April 2022

The study was aimed at understanding the brain network and the change rule of brain neurotransmitter 5-hydroxytryptamine (5-HT) in autism children through resting-state electroencephalogram (EEG). 20 autistic children in hospital were selected and defined as the observation group. Meanwhile, 20 healthy children were defined as the control group. EEG signals were collected for the two groups. Fuzzy C-means (FCM) algorithm was used to extract features of EEG signals, and DTF was applied for the causal association between multichannel EEG signals. The two groups were compared for the average function value and regional efficiency of the brain neurotransmitter 5-HT. The results showed that the classification accuracy of frontal F7 channel, left frontal FP1 channel, and temporal T6 channel was 95.2%, 95.3%, and 91.2%, respectively. The average of high beta frequency band, low beta frequency band, theta frequency band, and alpha frequency band in the control group was significantly higher than that in the observation group under the optimal threshold (

P
<
0.05

). Compared with normal subjects (34.27), the average function of 5-HT in the brain was 20.13 in patients with low function and 45.74 in patients with hyperfunction. In conclusion, FCM algorithm can feature extraction of EEG signals, especially in the frontal F7 channel, the left frontal FP1 channel, and the TEMPORAL T6 channel, which has high classification accuracy and can well express the EEG signals of autistic children. The level of 5-HT in autistic children is lower than that in healthy people, and it is closely related to loneliness and depression.
Phenolic Profiling of Berries Waste and Determination of Their Antioxidant Potential
Authors: Jiang Youyou , Subbiah Vigasini , Wu Hanjing , Bk Amrit , Sharifi-Rad Javad , Suleria Hafiz A. R.
Published: April 2022

Berries waste is a major issue in Australia’s annual food wastage, which can reach 7.3 million tonnes. This study assessed the phenolic content and antioxidant potential of four fruit berry wastes, including blueberries (Vaccinium corymbosum), blackberries (Rubus spp.), raspberries (Rubus idaeus), and strawberries (Fragaria spp.), followed by their characterization and quantification. Blueberry wastes were high in phenolic content (total phenolic content: 1.97 ± 0.16 mg GAE/gF.W; total flavonoid content: 220.43 ± 13.15 μg QE/gF.W; total tannins content: 16.47 ± 0.98 μg CE/gF.W), and antioxidant potentials are 2,2′-diphenyl-1-picrylhydrazyl: 2.23 ± 0.17 mg AAE/gF.W; 2,2′-azino-bis-(3-ethylbenzothiazoline-6-sulphonic acid): 1.79 ± 0.09 mg AAE/gF.W; ferric reducing antioxidant power: 68.71 ± 11.11 μg AAE/gF.W (total antioxidant capacity: 1.22 ± 0.03 mg AAE/gF.W). The LC-ESI-QTOF-MS/MS analysis identified 87 compounds from blueberry (57), strawberry (40), raspberry (47), and blackberry wastes (27). Indicated by HPLC quantification, blueberry wastes had higher levels of phenolic acid (syringic acid and coumaric acid) and flavonoid (kaempferol and kaempfero l-3-glucoside). Our study reported that phenolics from berry wastes could be utilized in different food, feed, pharmaceutical, and nutraceutical industries.
IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms
Authors: Hameed Mazhar , Yang Fengbao , Ghafoor Muhammad Imran , Jaskani Fawwad Hassan , Islam Umar , Fayaz Muhammad , Mehmood Gulzar
Published: April 2022

In the Internet of Things (IoT) era, the mobile crowd sensing system (MCS) has become increasingly important. The Internet of Things Auto (IOTA) has evolved rapidly in practically every technology field over the last decade. IOTA-based mobile crowd sensing technology is being developed in this study using machine learning to detect and prevent mobile users from engaging in fake sensing activities. It has been determined through testing and evaluation that our method is effective for both quality estimation and incentive allocation. Using the IOTA Bottleneck dataset, multiple performance metrics were used to demonstrate how well logit-boosted algorithms perform. After applying logit-boosted algorithms on the dataset for the classification, Logi-XGB scored 95.7 percent accuracy, while Logi-GBC scored 90.8 percent accuracy. As a result of this, Logi-ABC had an accuracy rate of 89%. Logi-CBC, on the other hand, got the highest accuracy of 99.8%. Logi-LGBM and Logi-HGBC both scored 91.37 percent accuracy, which is identical. On the given dataset, our Logi-CBC algorithm outperforms earlier Logit-boosted algorithms in terms of accuracy. Using the new IoTA-Botnet 2020 dataset, a new proposed methodology is tested. In comparison to prior Logit-boosted algorithms, the new model Logi-CBC has a highest detection accuracy of 99.8%.
Association between Cystatin C and Cardiac Function in Acute Myocardial Infarction Patients: A Real-World Analysis
Authors: Lou Bowen , Luo Yongbai , Zhang Haoxuan , Wu Haoyu , Jiang Gulinigaer Tuerhong , Liu Hui , Kan Kejia , Hao Xiang , Sun Lizhe , Yuan Zuyi , She Jianqing
Published: April 2022

Background. Acute myocardial infarction (AMI), as well as its long-term and short-term complications, is known to present with high morbidity and mortality. Cardiac function deterioration and ventricular remodelling after AMI are known to be correlated to worse long-term outcomes. However, the underlying mechanism remains elusive and there is a shortage of serum prediction markers. This study investigates the relationship between in-hospital Cystatin C (CysC) and cardiac function and subsequent prognosis among AMI patients. Research Design and Methods. We measured admission CysC and cardiac function parameters, including ejection fraction (EF) and pro-BNP value in 5956 patients diagnosed with AMI. Simple and multiregression analyses were performed to investigate the correlation between CysC and cardiac function in AMI patients. Major adverse cardiovascular events (MACE), cardiovascular, and all-cause mortality were documented, and 351 participants with high cystatin (≥1.09 mg/L) and 714 low cystatin (<1.09 mg/L) were investigated for survival analysis during a 48-month follow-up. Results. 5956 patients with AMI were enrolled in the initial observational analysis, and 1065 patients of the whole cohort were included in the follow-up survival analysis. The admission CysC level was found to be significantly positively correlated to the pro-BNP level (

R
 
square
=
0.2142

, 95% CI 4758 to 5265,

p
<
0.0001

) and negatively correlated to the EF value (

R
 
square
=
0.0095

, 95% CI -3.503 to -1.605,

p
<
0.0001

). Kaplan-Meier survival analysis revealed significantly increased MACE incidence (

HR
=
2.293

, 95% CI 1.400 to 3.755,

p
<
0.0001

), cardiovascular mortality (

HR
=
3.016

, 95% CI 1.694 to 5.371,

p
=
0.0002

), and all-cause mortality (

HR
=
3.424

, 95% CI 2.010 to 5.835,

p
<
0.0001

) in high-admission CysC cohort with AMI at the end of 4-year follow-up. Conclusions. Admission CysC is negatively correlated with cardiac function in AMI patients and acts as a novel predictor for MACE incidence in the whole population. Further studies are needed to investigate the specific mechanism of CysC in the cardiac function deterioration among AMI patients.
Analysis and Evaluation on the Harmfulness of Sports Dance Based on Intelligent Computing
Authors: Meng Huo
Published: April 2022

With the rapid development of motion analysis and editing technology, more and more animation technologies based on real human motion analysis are widely used in games, medicine, film and television, sports, and other fields. The role of this technology in the teaching system of sports dance arrangement cannot be ignored. This paper studies the application of intelligent algorithm in injury analysis of sports dance choreography and puts forward a smooth and natural motion editing method which is more in line with the characteristics of human motion. The square spherical surface intelligent algorithm is used to naturally transition the rotation posture of each frame of human joint, and the action modification of computer-aided dance choreography system is more in line with the real action of human body. Simulation results show that interframe data can be used for the same type of dance. Different types of dance arrangement can adopt the method of inserting a new framework between the two dance movements, so as to finally meet the needs of sports dance coaches and students to observe their own dance movements in an all-round way, so as to facilitate the arrangement and modification of sports dance movement design. It provides a certain reference for the application and development of virtual technology in the field of sports and greatly improves the current situation of sports dance teaching equipment. Through animation simulation technology, we can effectively avoid the injury caused by dangerous movements, provide a way of observation and improvement for coaches’ dance teaching, and effectively improve the training effect. Compared with traditional dance choreography methods, the intelligent algorithm in this study can make the animation display of sports dance more coherent and realistic and effectively solve the needs of current events observation and modification in sports dance choreography. It can produce complex movements with simple movements and help teachers arrange and teach sports dance. Avoid the accidental injury caused by the limitation of time and space in traditional teaching and realize the modernization and intelligence of physical education teaching.
Microstructural Evolution during Thermal Exposure of G115 Steel and Its Influence on Mechanical Properties
Authors: Ma Shaohai , Yan Kai , Che Chang , Yang Xisheng , Qian Gong
Published: April 2022

Microstructural evolution and mechanical property degradation of the newly developed G115 steel during thermal exposure are highly important for the safe power plant operation. In this paper, the microstructural stability and strength as well as impact toughness were investigated after aging at 650°C and 700°C up to 5000 h. It was found that when aged at 650°C in the G115 steel, the size of M23C6 carbides and the width of martensitic laths had little change even increasing aging time up to 5000 h. Both the room-temperature and high-temperature strengths remained stable after aging for 5000 h. In comparison, after aging at 700°C, high-density Laves phases precipitated accompanied by coarsening with increasing aging time. The majority of martensitic lath structure was replaced by sub-grains and the strength decreased linearly. Most importantly, the impact toughness of G115 steel aged at both 650°C and 700°C decreased sharply and embrittlement occurred rapidly in the initial aging period. The evidence provided by fracture morphologies proved that Laves phase was the culprit of decreasing the impact toughness.
Acoustic Fault Diagnosis of Rotor Bearing System
Authors: Liu Yuwei , Cheng Yuqiang , Zhang Zhenzhen , Wu Jianjun
Published: April 2022

Early diagnosis of failures can prevent financial losses and industry downtime. In this article, the author proposes an early fault diagnosis technique for rotor-bearing faults. The proposed technique is based on the recognition of sound signals. The author measured and analyzed the three states of the rotor-bearing system: the rotor-bearing system under normal operating conditions, the rotor-bearing system with faulty bearings, and the rotor-bearing system with rotor friction. In this article, an original feature extraction method is described, namely, the 1/3 doubling method (a method of selecting the amplitude of the frequency ratio that is a multiple of 30% of the maximum amplitude). This method is used to form feature vectors. A classification of the obtained vectors was performed by the KNN (K-nearest neighbor classifier), the SVM (support vector machine), and the decision tree. The method is also compared with the Fourier synchrosqueezed transform. The experimental results show that the method can diagnose early faults of rotor-bearing systems simply and quickly and can be used to protect the safe operation of mechanical equipment.
Modeling of Compulsive Behavior Types of Obsessive-Compulsive Disorder Patients by Using the Data Mining Method
Authors: Karayağız Şaban , Oralhan Burcu , Oralhan Zeki , Turabieh Hamza , Khan Monirujjaman
Published: April 2022

Data mining is a method that is used to find data that are precise, previously uncertain, and logical values from a comprehensive set of information. Data mining is used as a tool for determining the accuracy of classifications of data obtained in the field of bioinformatics by using different algorithm approaches. In this study, the data mining method was used to classify the accuracy of different algorithms and predict the types of compulsive behavior of patients with obsessive compulsive disorder. Data collected from a total of 164 people, 70 males and 94 females, were analyzed. The age range of the people participating in the study was between 7 and 73, and the calculated mean age was 32.4. Data about sociodemographic characteristics, course of disease, treatments, family histories, obsession, and compulsion types of the participants were collected through data collection instruments. Classification algorithm methods found in WEKA software were chosen to process the data. The effect of the types of obsession on the types of compulsion was determined using regression models. The levels of success of the generated models were compared. The results of the study demonstrated the presence of a moderate positive correlation (.35) between these two variables. According to the coefficient of determination, obsession explained 11% of the variance in compulsion. These findings supported the established hypothesis that the effect of the types of obsession was effective on the types of compulsion.
GIS-Based Urban Agglomeration Landscape Dynamic Observation and Simulation Prediction Algorithm
Authors: Liu Meng
Published: April 2022

In order to improve the intelligence level of urban agglomeration landscape, this paper conducts dynamic observation and simulation prediction of urban agglomeration landscape based on geographic information system. There are many characteristics of GIS technology itself that can be well matched with urban landscape research, so in the process of actually studying the green space landscape pattern, GIS technology has a very large space to play. The first is to use GIS technology to collect basic data of different types of scenic spots. Raster data and vector data are two important data in GIS technology. Among them, vector data with point, line, and surface morphology can relatively express the landscape ecology. Raster data is to determine the specific position of each pixel through the vertical and horizontal row and column relationship of the pixel, which is relatively simple in structure and easy to topology. According to the characteristics of the urban agglomeration landscape, the urban agglomeration landscape is reconstructed on the virtual simulation platform using GIS technology. It can meet the long-term sustainable development of the ecological environment of the scenic area. The research of this paper mainly belongs to the scope of practical research. Taking the existing research results as the first point of experimental research, combined with the relevant research results of design, the dynamic observation and simulation prediction algorithm of urban agglomeration landscape are constructed.
Causes of Death after Prostate Cancer Diagnosis: A Population-Based Study
Authors: Guo Yadong , Dong Xiaohui , Mao Shiyu , Yang Fuhan , Wang Ruiliang , Ma Wenchao , Liu Ji , Li Cheng , Zheng Zongtai , Zhang Wentao , Zhang Aihong , Yao Xudong
Published: April 2022

Background. Mortality from noncancer causes in patients with prostate cancer (PCa) is unclear. This study assesses the causes and risks of noncancer death with each follow-up time period after PCa diagnosis. Methods. Data from the Surveillance, Epidemiology, and End Results (SEER) program were analyzed for noncancer causes of death in PCa patients from 2000 to 2016. The standard mortality ratio (SMR) was calculated for noncancer mortality. Results. Altogether, 752,352 patients with PCa were identified, and 180,862 (24.0%) died during follow-up. The largest proportion of deaths from noncancer causes (36%) occurred within 5 to 10 years after diagnosis. The most common causes of noncancer death are cardiovascular and cerebrovascular diseases and chronic obstructive pulmonary disease (COPD). Compared with the general age-matched male population, patients with PCa had a higher risk of death from any noncancer cause within 5 years, in particular other infectious diseases and suicide and self-inflicted injury. However, the risk of death from noncancer causes of PCa for more than 5 years is lower, except for Alzheimer’s disease and hypertension from 5 to 10 years after diagnosis. In addition, the risk of death from noncancer causes was influenced by treatment, ethnicity, and staging differences. In particular, compared with the general population, many noncancer causes of death have higher risk of death in patients with or without treatment within 1 to 5 years after diagnosis, whereas patients undergoing radical prostatectomy (RP) with or without radiotherapy (RT) or chemotherapy (CTx) are not at high risk of death from COPD, pneumonia and influenza, nephritis, nephrotic syndrome and nephrosis, septicemia, and atherosclerosis. Conclusion. The risk of death from noncancer causes gradually decreased in all patients with PCa during each follow-up period after diagnosis In addition, the risk of dying from noncancer causes are influenced by differences in stage, ethnicity, and treatment. In particular, patients undergoing RP±RT/CTx and RT/CTx have a lower risk of death compared to the general population. These findings provide important implications for the healthcare management of patients with PCa.
Evaluation and Correlation Analysis of Mental and Psychological Factors and Premature Ejaculation in Patients with Benign Prostatic Hyperplasia in Mobile Medical System
Authors: Peng Xiaohui , Fu Min
Published: April 2022

Chronic prostatitis is a very common and very difficult disease. Based on the mobile medical system, this paper carried out a correlation analysis on the psychological factors and the evaluation of premature ejaculation in patients with benign prostatic hyperplasia. The article first analyzes the application in the field of mobile medical and then introduces the prostate image segmentation method based on the geometric active contour model. The emergence of automatic organ tissue segmentation technology is timely; it can help clinicians save a lot of manual segmentation time and has better reversibility and objectivity, and the theory of curve evolution is analyzed. Finally, this paper introduces the experimental research object and purpose, makes a statistical analysis of the symptoms of benign prostatic hyperplasia, and compares the incidence of psychological symptoms in patients with prostatitis under different factors. The experimental results of this paper show that 90% of prostatitis patients have mild psychological problems, and 10% have moderate psychological problems. Among them, the main reason for the psychological disorder of patients is depression, for which we should strengthen the care for patients.
Effect of Shugan Jianpi Recipe Combined with Cross Moxibustion on Biochemical Examination Indexes and Total Score of TCM Symptoms in Patients with Spleen-Stomach Damp-Heat Diarrhea Irritable Bowel Syndrome
Authors: Liu Di , Ruan Meiying , Tong Chenghui , Huang Rongrong
Published: April 2022

Objective. To explore the effect of Shugan Jianpi recipe combined with cross moxibustion on biochemical examination indexes and total score of TCM symptoms in patients with spleen-stomach damp-heat diarrhea irritable bowel syndrome (IBS). Methods. Sixty patients with spleen-stomach damp-heat diarrhea (IBS) treated in our hospital from January 2019 to September 2021 were enrolled. The patients were randomly assigned into the control group and study group. The control group was treated with Chang Shugan Jianpi recipe, and the study group was treated with Shugan Jianpi recipe combined with cross moxibustion. The curative effect, single symptom score, total score of TCM clinical symptoms, plasma gastrointestinal hormone level, IBS-QOL score, and recurrence were compared. Results. First of all, we compared the curative effects. The study group was significantly effective in 24 cases, effective in 5 cases, and ineffective in 1 case, and the effective rate was 96.67%. In the control group, 13 cases were markedly effective, 10 cases were effective, and 7 cases were ineffective, and the effective rate was 76.67%. The effective rate of the study group was higher compared to the control group (

P
<
0.05

). Secondly, the individual symptom scores were compared. Compared between the two groups, the scores of diarrhea times, stool characteristics, abdominal pain, and abdominal distension in the study group were lower compared to the control group (

P
<
0.05

). After treatment, the total score of TCM clinical symptoms decreased. Compared between the two groups, the total score of TCM clinical symptoms in the study group was lower compared to the control group at 1 week, 2 weeks, and 4 weeks after treatment (

P
<
0.05

). After treatment, the levels of 5-HT and VIP decreased. The levels of 5-HT and VIP in the study group were lower compared to the control group (

P
<
0.05

). The scores of anxieties, health worry, behavioral disorder, social reaction, somatic intention, interpersonal relationship, dietary concern, and sexual behavior in the study group were lower compared to the control group. The IBS-QOL scores were significantly lower compared to the control group (

P
<
0.05

). Finally, we compared the recurrence. The recurrence rate in the study group was lower compared to the control group (

P
<
0.05

). Conclusion. The prescription combined with cross moxibustion has the effect of soothing the liver and invigorating the spleen, resolving dampness and stomach, and can reduce the main clinical symptoms of patients with diarrhea IBS of spleen-stomach damp-heat type, and the overall effect is significant. It can also enhance the emotional state of anxiety and depression and achieve the overall psychological and physical balance and health state, and the recurrence rate is low, which can be further applied in clinic.
The Role of Gum Arabic for a Protective Kidney Dysfunction Induced Gentamicin on Diabetes Rats
Authors: Ali Alshehry Garsa
Published: April 2022

The target of this study was to estimate Gum Arabic for total phenols and flavonoids. In addition to antioxidant activities, estimate gum Arabic for total phenols and flavonoids. In addition to antioxidant activities, the problem of studying the potential effect of experimental diabetes kidney failure induced by gentamicin and the effect of taking gum Arabic. The results were observed to increase the content of phenols and total flavonoids. The method of study was that diabetic rats groups were fed on a basal diet, and intake of drinking water separately at concentrations of 5, 10, 15, and 20 g gum Arabic dissolved in 100 ml of water/day indicated that the lipid profile gradually decreased in triglycerides from group (1) was 128.30 mg/dL to group (4) was 77.53, total cholesterol-lowering from 163.18 mg/dL to 111.19 mg/dL, LDL reducing from 101.61 mg/dL to 37.83 mg/dL, VLDL lessening from 25.73 mg/dL to 15.51 mg/dL, and glucose reduced from 192.52 mg/dL to 111.24 mg/dL. and glucose became less from 192.52 mg/dL to 111.24 mg/dL. The kidney functions indicated to creatinine, urea, uric acid, blood urea nitrogen, and bilirubin were decreased from 1.34, 0.95, 2.24, 45.61, and 0.66 mg/dl in group (1) to 0.78, 29.84, 2.12, 16.25, and 018 mg/dL in group (4), respectively, when taking Gum Arabic. Furthermore, in the treatment group with Gum Arabic at different doses, the results could be noticed that sodium and calcium were gradually increased, and there was gradual reduction in potassium, phosphor, and magnesium. The results found that the treatment with GA had lowered the effects of gentamicin and streptozotocin, as evidenced by improvement of the lipids profile, kidney function, some minerals in serum, and antioxidant enzyme in kidney tissue, which may be referred to as its content of antioxidant active ingredients. Therefore, it is recommended that Gum Arabic is a beneficial dietary tool in reducing the advancement of chronic kidney disease in diabetic rats.
Ethiopian Water Hyacinth Leaf Extract as a Potential Tannery Effluent Treatment Material
Authors: Ahmed Fitsum Etefa , Wodag Awoke Fenta , Gelebo Gemeda Gebino , Gebre Belay Meles
Published: April 2022

Industrial effluents have a serious problem on our ecosystem. Tannery effluent contains a huge amount of pollutant compounds such as toxic substances which need to be treated using either synthetic or natural products. The present study focussed on the treatment of tannery effluents using water hyacinth plant leaf extract. Though some researchers have tried to use this extract for the same, the researchers have experimented only to treat that of Cr3+ and there are a bit of difference in the methodology they followed. In addition, the scope of this research was wider. In this study, fresh raw WH leaves were collected from around Lake Tana, Ethiopia, cleaned and made to powder and then extraction was performed using different solvents. The solvent effects were examined using the ANOVA test. The tannery wastewater was treated with the extracts and parts of the effluents were kept as a control for comparison. Treated and untreated tannery effluents were compared using standard methods such as SLC 22, SLC 8, APHA 2540C, APHA 2540D, and Hack LCK 139 to determine Cr6+, Cr3+, TDS, TSS, and TKN, respectively. The highest amount of Cr6+, Cr3+, and TKN were removed at 30% water hyacinth leaves extracted by distilled water solvent and that of the least was found at hyacinth leaves extract by ethanol solvent but by acetone in BOD and COD treatment. In addition, though it was out of the permissible limit, by using the same amount of the material extracted by distilled water solvent some amounts of BOD and TDS were removed from the wastes compared to that of untreated tannery effluents. Generally, water hyacinth leaf extract is found effective material for the treatment of tannery effluents and can be used in the sector industries. Future studies may be required for setting the most optimum extract concentration for better results.
Investigating and Comparing the Effects on Learning Achievement and Motivation for Gamification and Game-Based Learning: A Quantitative Study Employing Kahoot
Authors: Zhang Qi , Yu Zhonggen
Published: April 2022

This study is aimed at investigating and comparing the effects on learning achievement and motivation for two game-related pedagogies: gamification and game-based learning. Gamification was the process involving separable and flexible game elements, while game-based learning was the pedagogical procedure based on the inseparable serious games. Thus, gamification and game-based learning were hypothesized to have different effects on learning achievement and motivation. We implemented College English Test-6 (CET-6) and Motivated Strategies for Learning Questionnaire (MSLQ) to quantitatively assess learning achievement and motivation. ANCOVA reported that the positive effects on learning achievement reflected by CET-6 posttest scores were more significant for gamification (

M
=
79.3

01,

SD
=
1.258

) than game-based learning (

M
=
77.473

,

SD
=
1.262

). ANOVA revealed that the positive effects on motivation reflected by the motivation-related subscales, i.e., self-efficacy for learning and performance, extrinsic goal orientation, intrinsic goal orientation, and control of learning beliefs, were more significant for gamification than game-based learning. The main conclusion was that gamification exerted more significantly positive effects on learning achievement and motivation than game-based learning. However, high dependence on immersion might influence the stability for the effects of gamification.
Penyaluran Bantuan Produktif Usaha Mikro sebagai Upaya Mempertahan-kan Usaha Mikro di Masa Pandemi
Authors: Fauziah Alka Kirani , Salsabila Anisa Numa , Widianti Faradila Dyah Ayu , Winasis Rofiaregina Zakah , Darmastuti Ismi
Published: April 2022

Usaha Mikro Kecil Menengah (UMKM) telah menjadi salah satu sektor strategis dalam mendukung perkembangan perekonomian domestik di Indonesia. Pandemi COVID-19 telah memberikan dampak yang sangat signifikan bagi perekonomian Indonesia, terutama bagi para pelaku usaha mikro. Menurunnya pendapatan para pelaku usaha mikro karena berbagai masalah keuangan dan masalah non-keuangan yang muncul akibat pandemi COVID-19 memberikan dampak langsung pada penurunan PDB dan tingkat perekonomian di Indonesia. Untuk menanggulangi permasalahan yang dihadapi para pelaku usaha mikro, pemerintah Indonesia melalui Kementerian Koperasi dan UKM mengeluarkan program Bantuan Produktif Usaha Mikro (BPUM). BPUM telah dilaksanakan dua kali yaitu, di tahun 2020 dan di tahun 2021. Berdasarkan efektivitas dari penggunaan dana BPUM dinilai telah efektif baik dari penelitian yang telah dilakukan sebelumnya maupun wawancara mendalam yang dilakukan. Meskipun demikian, penyaluran program BPUM masih memiliki beberapa masalah dikarenakan implementasi BPUM pada 2020 berorientasi pada kecepatan penyaluran, sehingga sangat mungkin terjadi ketidatepatan sasaran. Oleh karena itu, penelitian berikut bertujuan untuk mempelajari permasalahan penyaluran program BPUM serta memberikan alternatif terbaik berupa desain strategi dalam proses penyaluran BPUM. Penelitian ini dilaksanakan dengan menggunakan metode analisis Analytic Network Process (ANP). Melalui penelitian berikut, ditemukan beberapa permasalahan dalam proses penyaluran program BPUM diantaranya; penyaluran dana yang belum tepat sasaran, proses verifikasi data yang belum memadai, alur komunikasi satu arah, serta belum terintegrasinya informasi terkait program BPUM. Di sisi lain, penerima bantuan program BPUM juga belum mendapatkan pendampingan serta monitoring yang memadai. Berdasarkan hasil analisis data dan pembobotan yang telah dilakukan, pemerintah daerah menjadi alternatif terbaik dalam penyaluran BPUM.
Leading Sector in Banyumas Regency During The Covid-19 Pandemic Using Location Quotient and Shift-Share
Authors: Handayani Suprih , Badriah Lilis Siti , Suharno Suharno , Wahyuni Dwi Asih Septi , Sinurat James
Published: April 2022

The economic growth rate is an indicator used to measure the achievement of development. In 2020, the economic growth rate of Banyumas Regency contracted by -1.65 percent but this figure is still above the economic growth rate of Central Java Province which is -2.65 percent. The economic growth of a region is driven by the leading sectors in the region. This research aims to find out the leading sectors in Banyumas Regency that experienced progressive, growing, sluggish and backward movement during the Covid-19 outbreak compared to Central Java Province using Location Quotient and Shift-Share (LQ Shift- Share) analysis.  The results of the analysis showed that the sectors that contributed the two largest to the Gross Regional Domestic Product (GRDP) in Banyumas Regency in 2020 at the same time including the progressive sector were trade sector (G) and construction sector(F).
Analisis Perbandingan Tingkat Kesehatan PT. Bank Panin Dubai Syariah Tbk Sebelum dan Sesudah (IPO) (Initial Public Offering) dengan metode RGEC
Authors: Deviantika Fahriza  , Ridho Kismawadi Early , Basri
Published: April 2022

Initial Public Offering (IPO) merupakan penawaran saham untuk pertama kalinya kepada publik yang dilakukan perusahaan untuk mendapatkan dana yang dapat digunakan sebagai perluasan usaha. Lembaga keuangan syariah yang pertama kali IPO (Initial Public Offering) adalah PT. Bank Panin Dubai Syariah Tbk pada tanggal 15 Januari 2014, Namun peneliti menemukan bahwa banyak lembaga keuangan syariah yang gagal dalam melakukan proses IPO. Tujuan dari penelitian ini adalah untuk mengetahui perbandingan  tingkat  kesehatan  PT.  Bank Panin Dubai Syariah Tbk sebelum dan sesudah IPO dengan metode RGEC periode 2010-2017. rasio yang digunakan yaitu NPF (Non Performing Financing), GCG (Good Corporate Governance), BOPO (Biaya Operasional Terhadap Pendapatan Operasional) dan   CAR (Capital Adequacy Ratio). Penelitian ini menggunakan metode penelitian kuantitatif dengan teknik pengumpulkan data secara dokumentasi, data didapatkan dari laporan keuangan PT. Bank Panin Dubai Syariah secara triwulan. Uji analisis yang digunakan adalah uji beda Paired Sample T-Test. Berdasarkan hasil pengujian dengan menggunakan uji statistik Paired Sample T-Test terhadap rasio NPF memperoleh T hitung sebesar -5,426 dengan nilai Sig (2-Tailed)  sebesar  0.000<0.05 sehingga menunjukkan terdapat perbedaan tingkat   kesehatan  rasio   NPF sebelum dan sesudah IPO. Rasio GCG memperoleh T hitung sebesar 1.547 dengan nilai Sig (2-Tailed) sebesar 0.143 > 0.05 sehingga menunjukkan tidak terdapat perbedaan tingkat kesehatan rasio GCG sebelum dan sesudah IPO. Rasio BOPO memperoleh Thitung sebesar 0.318 dengan nilai Sig (2-Tailed) sebesar 0.755 > 0.05 sehingga menunjukkan tidak terdapat perbedaan tingkat kesehatan rasio BOPO sebelum dan sesudah IPO. Rasio CAR memperoleh T   hitung   sebesar 4.482 dengan  nilai  Sig  (2-Tailed)  sebesar 0.000 < 0.05 sehingga menunjukkan terdapat perbedaan tingkat kesehatan rasio CAR sebelum dan sesudah IPO. Secara keseluruhan hasil penelitian ini menunjukkan bahwa tidak terdapat perbedaan signifikan tingkat kesehatan PT. Bank Panin Dubai Syariah Tbk pada rasio GCG dan BOPO sebelum dan sesudah IPO, sedangkan pada rasio NPF dan CAR terdapat perbedaan signifikan tingkat kesehatan PT. Bank Panin Dubai Syariah Tbk sebelum dan sesudah IPO.