bluuebunny/crossref_metadata_2025 huggingface dataset:
Pyrrosia petiolosa Extract Ameliorates Ethylene Glycol-Induced Urolithiasis in Rats by Inhibiting Oxidative Stress and Inflammatory Response
Authors: Zhou Fangmin , Wang Xingshan
Published: August 2022

Objective. To study the therapeutic effect and mechanism of Pyrrosia petiolosa (P. petiolosa) extract on ethylene glycol- (EG-) induced urolithiasis in rats. Methods. Thirty SD male rats were randomly divided into five groups (

n
=
6

): control group, EG group, and P. petiolosa group (25 mg/kg, 50 mg/kg group, and 100 mg/kg). Biochemical testing was adopted for measuring the blood and urine parameters, as well as the level of superoxide dismutase (SOD), glutathione (GSH), and malondialdehyde acid (MDA) in kidney tissues. HE staining and ELISA were utilized to observe the histopathological changes and detect the level of IL-1β, IL-6, MCP-1, and TNF-α in the kidney tissue, respectively. And western blot was performed for checking NOX2, NOX4, TGF-β1, p-Smad3, Smad3, p-Smad2, and Smad2 protein expression level in kidney tissues. Results. EG could significantly increase the level of blood urea nitrogen, creatinine, and Na in serum and 24-hour urinary protein, oxalate, uric acid, creatinine, calcium, and phosphorus in urine and decreased the urine volume in rats. Whereas P. petiolosa extract was able to greatly decrease the level of related parameters in serum and urine in a dose-dependent manner, but did not affect the urine pH. In addition, P. petiolosa extract notably ameliorated EG-induced renal tissue injury. Compared with the EG group, P. petiolosa extract markedly raised the level of SOD and GSH and decreased the MDA level and the expression of NOX2 and NOX4 in the kidney tissue. Moreover, P. petiolosa extract also lowered the level of IL-1β, IL-6, MCP-1, and TNF-α in EG-stimulated kidney tissue and inhibited the protein level of EG-induced TGF-β1, p-Smad3, and p-Smad2 in a concentration-dependent manner. Conclusion. P. petiolosa extract can improve EG-induced urolithiasis in rats by inhibiting oxidative stress, inflammatory response, and the activation of TGF-β pathway.
Construction of Pulmonary Embolism Prediction, Early Warning, and Precontrol MDT Collaborative Nursing Model Based on the Smith Model
Authors: Lv Qian , Liu Yue , Zhang Na , Qi Haini , Li Xiang , Zhang Rui , Sun Bing , Zhu Yifang
Published: August 2022

The purpose of this study was to construct a multidisciplinary collaborative nursing model for pulmonary embolism risk prediction, early warning, and precontrol based on the Smith model and evaluate the application effect and hospitalization satisfaction. 2,037 patients hospitalized in the thoracic surgery department from June 1, 2019, to May 31, 2021, were selected as the research subjects. The control group received routine pulmonary embolism prevention management, while the experimental group received safe, case-based, and programmatic multidisciplinary intervention management based on the Smith policy management model. The data were analyzed statistically. The experimental group’s extubation and hospitalization time, D-dimer value, incidence of deep vein thrombosis, and pulmonary embolism on the seventh day after surgery were lower than those in the control group, and the satisfaction of hospitalization in the experimental group was higher than that in the control group. The implementation of the multidisciplinary collaborative nursing model of pulmonary embolism risk prediction, early warning, and precontrol based on the Smith model can promote the preventive effect of pulmonary embolism risk of surgical patients in our department and effectively improve the satisfaction of hospitalization, which is worthy for further promotion.
Nursing Education of Lateral Oblique Complications of Neurosurgery under Microscope
Authors: Hu Kecui
Published: August 2022

In order to solve the problem of nursing education of lateral oblique complications, a nursing education solution of lateral oblique complications of neurosurgery under the microscope was proposed. The method used subjective evaluation and objective evaluation to systematically evaluate the basic training module. In subjective evaluation, the authenticity score of surgical simulator was

3.65
±
0.01

, the realism score of surgical instruments was

3.81
±
0.01

, the realism score of tactile sense was

3.75
±
0.01

, the operating environment score was

3.60
±
0.01

, and the overall effect score was

3.63
±
0.01

. The difficulty score of the whole training was

3.15
±
0.01

. In the aspect of objective evaluation, the entropy method was used to process the data of training track, training angle, training time, trigger times, success times, failure times, and other indicators of 24 trainers collected, and the experiment verified the nursing education of lateral oblique complications of neurosurgery under the microscope.
Structure Optimization of Carbon Nanotubes Based on Swarm Intelligence Algorithm and Evolutionary Computation
Authors: Liu Defei
Published: August 2022

Swarm intelligence algorithm is an emerging evolutionary computing technology, which has become the focus of more and more researchers. It has a very special connection with artificial life, especially evolutionary strategies and genetic algorithms. The swarm intelligence algorithms you see include genetic algorithm, particle swarm optimization algorithm, and ant colony algorithm. This part of the content has been supplemented in the article. Evolutionary computing is a group‐oriented random search technology and method produced by simulating the evolutionary process of organisms in nature. Evolutionary computing is based on natural selection strategy: survival of the fittest, elimination of the unfit, and individuals with large fitness values have a higher survival probability than individuals with small fitness values. The purpose of this paper is to study the structure optimization of carbon nanotubes based on swarm intelligence algorithm and evolutionary computation. It is expected to optimize the structure of carbon nanotube materials with the help of intelligent evolution algorithm, so that it can be used in more fields. In this paper, the preparation process and principle of carbon nanotube‐based gas sensors are studied, and the preparation process of the side‐heated gas sensor is selected. This paper focuses on the strain sensing performance of carbon nanotubes, analyzes various parameters that characterize the sensing performance, and proposes feasible technical routes for improvement, optimization and improvement. The experimental results in this paper show that when different proportions of oxides are added, the tensile strength of carbon nanotube materials is increased by about 8%, and the elastic modulus is increased by up to 40%. After adding CNFs, the tensile strength increased by up to 18%, and the elastic modulus increased by up to 50%.
A Risk Assessment Framework of Photovoltaic Poverty Alleviation Projects under EPC Mode in China
Authors: Chu Han , Xu Minjia , Wu Yunna
Published: August 2022

Due to the characteristics of poverty alleviation and cleanness, the photovoltaic poverty alleviation project (PPAP) plays an important role in consolidating the link between poverty alleviation and “rural revitalization” in China, which has attracted the attention of all sectors of society. In practice, EPC (engineering, procurement, and construction) mode is widely used in PPAP, which brings considerable benefits, but also has many risks. To ensure the successful development of the project, it is necessary to carry out risk assessment when selecting the scheme. However, this complex multi-attribute decision-making problem can be improved. First, the risk of PPAP is lack of targeted research; second, the uncertainty in the evaluation process has not been fully solved; third, the method of sorting is unreasonable. To solve these problems, this study establishes the risk assessment framework of PPAP. Firstly, a comprehensive index system suitable for PPAP risk assessment is established, including 5 first-level indexes and 22 second-level indexes. Then, the ANP method based on fuzzy environment is used to determine the weight. Finally, the cloud model and PROMETHEE are combined to select a higher priority solution. Case study and sensitivity analysis prove the robustness and feasibility of the framework. This study puts forward the corresponding risk response measures, to provide reference for the future practice of risk prevention and control.
Green Roof Design of Residential Area Based on Sponge City Theory
Authors: Shen Zhaoyang
Published: August 2022

With the acceleration of urbanization, the contradiction between building land and living environment is becoming increasingly prominent. Building sustainable urban architecture has become a topic of great concern, and roof greening has gradually become the inevitable trend of modern architectural development. With the support of sponge city theory, this paper studies the design of green roof in residential area. Firstly, taking roof greening as the research object, this paper makes a preliminary study on its environmental improvement effect by means of experimental research and theoretical analysis and designs the conventional design of roof greening based on the research conclusion. Through the cooling effect experiment, the cooling effect of roof garden in summer is preliminarily studied. It is found that the daily change of temperature of green roof is closely related to solar radiation. With the increase of solar radiation, the temperature rises, and the surface temperature of cement roof and green roof increases. However, due to the difference of heat capacity, the temperature difference of cement roof is the largest, and the change of green roof is the smallest; in the high temperature period in the afternoon, the cooling effect of green roof is the most obvious and enters a stable cooling stage with the passage of time; from 14:00, as the temperature began to drop, the temperature of cement roof decreased rapidly, and the surface temperature of green roof also continued to decline slowly. This surface temperature variation of green roof can form a good cooling surface. Therefore, the green roof plays a positive role in regulating the near ground temperature and protecting the building surface.
Intermittent Hydrostatic Pressure Promotes Cartilage Repair in an Inflammatory Environment through Hippo‐YAP Signaling In Vitro and In Vivo
Authors: Yao Wangxiang , Ma An , Zhang Zhen , Zhu Liulong
Published: August 2022

The study of chondrogenic progenitor cells (CPCs) as seed cells has become a new focus of cartilage regeneration. The inflammatory environment of osteoarthritis (OA) inhibits the repair ability of CPCs. But the OA patients’ CPCs showed an excellent regeneration ability with intermittent hydrostatic pressure (IHP). However, the mechanism is unclear. We compared the expression of the Hippo signaling effect factor YAP between OA and normal cartilages. Then, the relationship between the Kellgren‐Lawrence (K‐L) score of OA and the rate of YAP‐positive cells was analyzed. The changes of CPCs after IHP and IL‐1β applications were observed. The OA model was established by cutting the anterior cruciate ligament of rats. The knee joint of the OA rats was distracted by hinged external fixator to create suitable IHP, named as the IHP group. The IHP group plus intra‐articular injection of Verteporfin (VP) was named as the IHP+VP group, and the untreated rat group was named as the CON group. Four and 8 weeks after the operation, the reparative effect was evaluated by MASSON staining and immunohistochemical staining. Lower levels of YAP1 and higher expressions of p‐YAP1 were found in the OA group as compared to the normal group. IHP inhibited the Hippo signaling in an inflammatory environment and promoted the proliferation of CPCs. The cartilage deterioration in the CON group progressed more significantly than that in the IHP+VP group. The best reparative effect was observed in the IHP group with increased expression of YAP1 and decreased p‐YAP1. These results hint that mechanical stress can activate CPCs and promote cartilage repair in an inflammatory environment through inhibiting Hippo signaling.
[Retracted] PSO‐Based Evolutionary Approach to Optimize Head and Neck Biomedical Image to Detect Mesothelioma Cancer
Authors: Praveen Sheeba , Tyagi Neha , Singh Bhagwant , Karetla Girija Rani , Thalor Meenakshi Anurag , Joshi Kapil , Tsegaye Melkamu
Published: August 2022

Mesothelioma is a form of cancer that is aggressive and fatal. It is a thin layer of tissue that covers the majority of the patient’s internal organs. The treatments are available; however, a cure is not attainable for the majority of patients. So, a lot of research is being done on detection of mesothelioma cancer using various different approaches; but this paper focuses on optimization techniques for optimizing the biomedical images to detect the cancer. With the restricted number of samples in the medical field, a Relief‐PSO head and mesothelioma neck cancer pathological image feature selection approach is proposed. The approach reduces multilevel dimensionality. To begin, the relief technique picks different feature weights depending on the relationship between features and categories. Second, the hybrid binary particle swarm optimization (HBPSO) is suggested to automatically determine the optimum feature subset for candidate feature subsets. The technique outperforms seven other feature selection algorithms in terms of morphological feature screening, dimensionality reduction, and classification performance.
Efficacy Evaluation of Ultrasound with Active Contour Model for Hemodialysis in Children with Renal Failure
Authors: Huo Jiawen , Peng Aizhi , Chen Fenfang , Chen Fen , Shen Lanling , Yan Hongxia
Published: August 2022

This study was aimed to explore the efficacy of ultrasound with active contour model (ACM) for hemodialysis in children with renal failure. The pulse coupled neural network (PCNN) was used to extract the initial contour of the ultrasound images, and the cloud model-based ACM was used to accurately segment the images, whose effect was compared with the classic Snake model. 84 children with chronic renal failure who received hemodialysis treatment in hospital were selected as research objects. There were 42 cases in the control group who were diagnosed by conventional ultrasound and 42 cases in the observation group who were diagnosed by ultrasound with the algorithm. Then, 42 children who underwent healthy physical examination (health group) were selected for comparison of related analysis indicators. The error rates of different algorithms were compared to analyze the levels of inflammatory factors in different groups of patients after hemodialysis. The results showed that the error rate of classical Snake model was 18.87% and that of ACM algorithm model was 11.01%, and the error rate of ACM algorithm model was significantly lower (

P
<
0.05

). After hemodialysis, the level of tumor necrosis factor (TNF)-α was 38.76 pg/mL in the observation group and 40.05 pg/mL in the control group, which was notably decreased in both groups, especially in the observation group (

P
<
0.05

). After hemodialysis, transforming growth factor (TGF)-β1 was 7.76 ng/mL in the observation group and 7.60 ng/mL in the control group, which was significantly reduced in both groups. After treatment, UA and Scr in both groups were significantly reduced, and the reduction was more significant in the observation group (

P
<
0.05

). HGB and RBC were significantly increased in both groups, and the increase was more significant in the observation group (

P
<
0.05

). In summary, ACM algorithm had a good segmentation effect on the ultrasonic images of children with renal failure. This study provided guidance for clinicians to choose the algorithm for the application of ultrasonic imaging diagnosis.
Adsorption of Cd (II) Using Chemically Modified Rice Husk: Characterization, Equilibrium, and Kinetic Studies
Authors: Montalvo-Andía Javier , Reátegui-Romero Warren , Peña-Contreras Alexis D. , Zaldivar Alvarez Walter F. , King-Santos María E. , Fernández-Guzmán Víctor , Guerrero-Guevara José Luis , Puris-Naupay Jhon E.
Published: August 2022

Cadmium (Cd) is a highly toxic heavy metal considered carcinogenic to humans. The adsorption behavior of cadmium adsorption using untreated and chemically modified rice husk was investigated. Experimental tests were carried out to evaluate the influence of the variables pH, initial concentration of cadmium, and dosage of adsorbent in the adsorption process. In optimal experimental conditions, the maximum adsorption efficiency was 92.65%. Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM) were used allowing the identification of the main functional groups and morphology of rice husk and treated rice husk, and the results showed an improvement of adsorption characteristics after rice husk treatment with NaOH. The optimum adsorption pH for both types of rice husk was 7. The maximum adsorption capacities of RH and treated RH fitted by the Langmuir model were 5.13 mg/g and 11.06 mg/g, respectively. The pseudosecond order kinetics has the best coefficients of determination for untreated ([Formula: see text]) and treated ([Formula: see text]) rice husk. The adsorption process was found to be endothermic in nature with enthalpy of 14.08 kJ/mol and entropy of 170.98 J/mol.K. The calculated activation energy was 24 kJ/mol. The results showed the potential of rice husk as a low-cost, easily managed, and efficient biosorbent for Cd removal from waters.
Pharmacological Effect of Panax notoginseng Saponins on Cerebral Ischemia in Animal Models
Authors: Dong Chao , Li Jiawei , Zhao Ming , Chen Lin , Zhai Xiaochen , Song Lingling , Zhao Jin , Sun Qiang , Wu Jie , Xie Xiaolu
Published: August 2022

Panax notoginseng saponins (PNS), bioactive compounds, are commonly used to treat ischemic heart and cerebral diseases in China and other Asian countries. Most previous studies of PNS have focused on the mechanisms underlying their treatment of ischemic cardiovascular diseases but not cerebral ischemic diseases. This study sought to explore the pharmacological mechanisms underlying the effectiveness of PNS in treating cerebral ischemic diseases. Different experimental cerebral ischemia models (including middle cerebral artery occlusion (MCAO) and the blockade of four arteries in rats, collagen‐adrenaline‐induced systemic intravascular thrombosis in mice, thrombosis of carotid artery‐jugular vein blood flow in the bypass of rats, and hypoxia tolerance in mice) were used to investigate the mechanisms underlying the actions of PNS on cerebral ischemia. The results indicated that (1) PNS improved neurological function and reduced the cerebral ischemia infraction area in MCAO rats; (2) PNS improved motor coordination function in rats with complete cerebral ischemia (blockade of four arteries), decreased Ca2+ levels, and ameliorated energy metabolism in the brains of ischemia rats; (3) PNS reduced thrombosis in common carotid artery‐jugular vein blood flow in the bypass of rats; (4) PNS provided significant promise in antistroke hemiplegia and hypoxia tolerance in mice. In conclusion, PNS showed antagonistic effects on ischemic stroke, and pharmacological mechanisms are likely to be associated with the reduction of cerebral pathological damage, thrombolysis, antihypoxia, and improvement in the intracellular Ca2+ overload and cerebral energy metabolism.
Application of Mobile Virtual Reality Technology Combined with Neural Network in Facial Expression Recognition
Authors: An Ying
Published: August 2022

In recent years, in the field of virtual reality, in more and more scenes, users interact with hardware or programs through facial expressions. In order to give full play to the advantages of program interaction between virtual reality devices and users, this paper proposes a mobile virtual reality expression recognition system combined with convolution neural network. Based on the optimized AlexNet network, an expression recognition algorithm is constructed and combined with LBP feature mapping technology to improve the performance of the algorithm. At the same time, according to the nature and characteristics of mobile virtual reality devices, the user face information acquisition algorithm is optimized. The performance test results of the expression recognition system show that the recognition accuracy of the system is higher than that of the traditional convolution neural network expression recognition algorithm, and the maximum difference is greater than 10%. At the same time, the average running speed of the whole system is about 37 ms, which can meet the accuracy and real-time requirements of expression recognition in virtual reality interaction. The experimental results show that the expression recognition system proposed in this paper can be applied to mobile virtual reality devices. At the same time, it also provides new ideas for industry researchers to optimize the identification function.
Long Noncoding RNA SBF2-AS1 Promotes Abdominal Aortic Aneurysm Formation through the miRNA-520f-3p/SMARCD1 Axis
Authors: Han Baihe , Yang Mengyue , Liu Qi , Wang Gang , Hou Jingbo
Published: August 2022

Abdominal aortic aneurysm (AAA) is a chronic vascular inflammatory disease. The regulatory mechanisms during AAA formation remain unclear. Bone marrow stem cells (BMSCs) are pluripotent cells capable of regulating the progression of various diseases by delivering exosomes and exosomal lncRNAs. In this study, we investigated its function in AAA by isolating BMSC exosome-derived lncRNA SBF2-AS1. The results showed that BF2-AS1 could be transferred to vascular smooth muscle cells (VSMCs) and human aortic VSMCs (HASMCs) via BMSC-derived exosomes. Depletion of SBF2-AS1 enhanced the cell viability and proliferation of VSMCs. Conversely, SBF2-AS1 knockdown inhibited VSMC apoptosis. Caspase-3 activity was inhibited by depletion of SBF2-AS1, whereas overexpression of SBF2-AS1 in VSMC promoted Caspase-3 activity. SBF2-AS1 enhances SMARCD1 expression by forming miR-520f-3p in VSMC and HASMC. Overexpression of SMARCD1 or miR-520f-3p inhibitor reversed cell viability and caspase-3 activity mediated by SBF2-AS1 depletion in VSMC and HASMC. Therefore, BMSC exosome-derived SBF2-AS1 promotes AAA formation through the miRNA-520f-3p/SMARCD1 axis. Targeting SBF2-AS1 could serve as a promising therapeutic strategy for AAA.
The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate
Authors: Zou Zhehua , Liu Kai , Li Yunjing , Yi Shuangyan , Wang Xiaotang , Yu Changying , Zhu Haiying
Published: August 2022

Objective. The aim of this study is to examine the impacts of general practice model (GP) on prognosis and recurrence of stroke patients with diabetes. Methods. Ninety patients with stroke combined with diabetes mellitus admitted to our hospital from June 2019 to June 2020 were selected for the study and were randomly and equally divided into 45 cases each in the control and experimental groups for the prospective trial. The patients in the control group received routine treatment while those in the experimental group were treated with GP model. Comparison in treatment effects, patients satisfaction, psychological status, quality of life, glycosylated hemoglobin level, and stroke recurrence was carried out between the two groups. Results. The experimental group showed markedly better treatment effects (

P
<
0.05

), higher satisfaction degree (

P
<
0.05

), higher HAD (

P
<
0.05

), GQOLI-74 score (

P
<
0.05

), and BI index (

P
<
0.05

), lower level of glycosylated hemoglobin (

P
<
0.05

), and much lower recurrence rate (

P
<
0.05

), as compared to the control group. Conclusion. The application of the GP model to manage controllable risk factors in stroke patients with diabetes can effectively improve the prognosis and reduce the recurrence rate, which is worthy of clinical application and promotion.
Effects of Warm Needle Acupuncture plus Xitong Waixi Lotion in Patients with Knee Osteoarthritis: A Randomized Controlled Trial
Authors: Sheng Guanyun , Yang Jing , Rong Peng , Yang Xueyi
Published: August 2022

Objective. To evaluate the effect of warm needle acupuncture plus Xitong Waixi lotion on the levels of IL-1, TNF-α, and MMP-3 in patients with knee osteoarthritis. Methods. Eighty patients with knee osteoarthritis admitted to our hospital from October 2019 to June 2021 were recruited and assigned via the random number table method at a ratio of 1 : 1 to receive either Xitong Waixi lotion (conventional group) or warm needle acupuncture plus Xitong Waixi lotion (combined group). Outcome measures included clinical efficacy, inflammatory cytokine level, Western Ontario and McMaster Universities Arthritis Index (WOMAC) score, visual analogue scale (VAS) score, Hospital for Special Surgery (HSS) knee score, and adverse reactions. Results. Warm needle acupuncture plus Xitong Waixi lotion was associated with a significantly higher clinical efficacy versus Xitong Waixi lotion alone (

P
=
0.006

). Patients in the combined group had significantly lower levels of interleukin (IL)-1, tumor necrosis factor-α (TNF-α), and matrix metalloproteinase-3 (MMP-3) than those in the conventional group (

P
=
0.020

). Warm needle acupuncture plus Xitong Waixi lotion resulted in significantly lower WOMAC scores and VAS scores and higher HSS scores for the patients versus Xitong Waixi lotion (

P
=
0.012

). The two groups had a similar incidence of adverse events (

P
=
0.068

). Conclusion. Warm needle acupuncture plus Xitong Waixi lotion effectively alleviates the inflammatory response and knee pain in patients with knee osteoarthritis, with significant clinical effects and a high safety profile.
Contributions of E-Portfolios Assessment to Developing EFL Learners’ Vocabulary, Motivation, and Attitudes
Authors: Rezai Afsheen , Rahul D. R. , Asif Muhammad , Omar Abdulfattah , Reshad Jamalyar Ahmad
Published: August 2022

A great deal of studies have explored the effects of electronic-portfolios (e - portfolios) on various measures of language learning, including writing and speaking in English. However, the effects of e-portfolios on vocabulary, motivation, and attitudes of EFL learners have remained unexplored. Thus, this study aimed at disclosing the effects of e-portfolios on Afghani EFL learners’ vocabulary, motivation, and attitudes. For this purpose, after homogenizing, a total of 100 EFL male learners were selected and randomly assigned to an experimental group (n = 50) and a control group (n = 50). Afterward, they went through pretest, interventions, and posttest procedures. The interventions lasted 18 one-hour sessions held twice a week where the experimental group was trained through e-portfolios (Mahara: the electronic portfolio software) and the control group was trained using conventional methods. The collected data were analyzed through running an independent-sample t-test and calculating mean and percent. Results evidenced that the experimental group outperformed the control group concerning their gains of vocabulary knowledge on the posttest. Additionally, the findings documented that there was a statistically significant difference between the two groups in terms of motivation at the end of the interventions. Furthermore, the findings indicated that the participants had very positive attitudes toward the e-portfolios. The study concludes by offering some implications for relevant stakeholders and opening some windows for further research.
Bayesian Shared Frailty Models for Time to First Birth of Married Women in Ethiopia: Using EDHS 2016
Authors: Fentaw Kenaw Derebe , Fenta Setegn Muche , Biresaw Hailegebrael Birhan , Agegn Setegn Bayabil , Muluneh Mitiku Wale
Published: August 2022

Introduction. The primary effect of the fertility process is the birth of the first child. The ages at which women establish marital union and give their first birth depend on and result in varying demographic features. This research demonstrates how to examine the effect of numerous factors on married women’s delay to first birth in Ethiopia using Bayesian parametric models with gamma shared frailty distribution. Methods. This study analyzed data from the 2016 EDHS on factors related to the time of married women to first birth. A sample of 8810 married women from all parts of Ethiopia participated in the study. The Akaike information criterion (AIC) and Bayesian information criterion (BIC) were used to compare several parametric models with gamma shared frailty distributions to find the best model (BIC). Finally, when the prior data was taken into account, the chosen model was proven to be accurate (Bayesian approach). Results. The median survival time for the first birth after marriage is 24 years (95% CI; 23.4, 25.3). The result shows that the place of residence, the access to media, the level of education of the mother, the education level of the husband, the use of the head of the contraceptives, and the sex of the household are statistically associated with the time to first birth of married women. The Weibull-gamma shared frailty model under the Bayesian approach was found to be the best model that fit the time to first birth data in this study. The result also showed that there is heterogeneity between regions of married women. Conclusion. To slow the increase in the Ethiopian population, families must be taught how to use contraception, and rural populations must be educated on the necessity of increasing the length of the first birth gap rather than encouraging early marriage. In general, attempts to reduce fertility by raising the age of the first marriage must consider the social and cultural settings in which marriage takes place. On the other hand, the campaign against early marriage should focus on the sociocultural, physiological, and psychological effects, as well as the reduction of reproduction.
Ten Cases of Biopsy-Proven Acute Tubulointerstitial Nephritis: Report from a Single Center in a Rural Area from 2008 to 2021
Authors: Nagai Kei , Tsukada Tsuyoshi , Sakata Akiko , Ueda Atsushi
Published: August 2022

Acute tubulointerstitial nephritis (ATIN) can be caused by any number of factors, and it accounts for several percent of renal biopsy cases. In Japan, case reports exist, but there are few single-center series of ATIN cases. Case 1. A teenage male patient developed fever and cough on day X-61 and was found to have normal renal function and positive C-reactive protein (CRP) by his primary care physician. On day X-20, he presented with cough and nasal discharge in addition to low-grade fever, and his doctor noted renal dysfunction with serum creatinine of 2.12 mg/dL, negative urine occult blood, and positive urine glucose. Renal biopsy results showed diffuse interstitial nephritis with scarce glomerular involvement. There was no concurrent uveitis. Renal function normalized after 4 months of treatment with moderate-dose prednisolone. Cases 2–10. Of the 422 cases for which renal biopsies were performed at our institution from 2008 to 2021, acute tubulointerstitial nephritis was confirmed clinically and pathologically in 9 cases in addition to case 1, accounting for 2.4% of all biopsy cases. In the analysis of the 10 patients, the median age was 40 years old, eGFR at diagnosis was 19.4 (3.2–49.1) mL/min/1.73 m2, and 2 of them underwent hemodialysis, but both were weaned from dialysis, and the eGFR after treatment was 53.6 (20.8–110.0) mL/min/1.73 m2; all patients showed improvement (

P
<
0.001

). Treatment consisted of steroids in 8 patients and no steroids in 2 patients, the latter being treated by discontinuation of the suspect drugs and treatment of infection; 7 of the 10 patients were examined for ocular uveitis, and uveitis was diagnosed in 5 patients. The causes and clinical course of ATIN are diverse, but it is treated according to individual judgment in addition to standard treatment, and it generally has a good renal prognosis.
Statistical Analysis on Interlaminar Shear Strength of Nanosilica Addition with Woven Dharbai/Epoxy Hybrid Nanocomposites under Cryogenic Environment by Taguchi Technique
Authors: Ponnusamy Muruganantham , Natrayan L. , Patil Pravin P. , Velmurugan G. , Keno Yirga Terefe
Published: August 2022

Biocomposites are becoming more popular due to their capacity to replace artificial materials at a lower cost while enhancing environmental responsibility. In contrast, biocomposites have poor mechanical and interface properties. This research is aimed at determining the interlaminar shear strength of composite materials reinforced with Dharbai fibre and nanosilicon powder. The composites were made using a hand lay-up method with the following conditions: (i) weight % of nanosilica filler, (ii) thickness of fibre mat, and (iii) cryogenic treatment period, each at three different levels, to meet the goals mentioned above. The composites were laminated using a traditional hand lay-up method, and their interlaminar shear strength was determined using the ASTM standard. According to a recent study, nanocomposites containing 4% nanoscale silicon and 300 grammes per square metre of woven Dharbai fibre showed the highest interlaminar shear strength after 15 minutes of cryogenic treatment. Fibre content increased the mechanical properties of pure epoxy in general. As the fibre and filler concentrations grew, more energy was required to break the fibre bundles between the matrix and its resin. According to the ANOVA, the cryogenic treatment was the most significant factor, contributing up to 59.58%, followed by woven Dharbai mate, contributing 22.11%, and nanosilicon at 18.30%. SEM is used to investigate the cracked composites’ fractographic examination.
The Application of [68Ga]‐Labeled FAPI‐04 PET/CT for Targeting and Early Detection of Pancreatic Carcinoma in Patient‐Derived Orthotopic Xenograft Models
Authors: Zhang He , An Jiaze , Wu Pengpeng , Zhang Caiqin , Zhao Yong , Tan Dengxu , Shi Changhong , Ge Xu
Published: August 2022

[18F]FDG as a probe of PET/CT is a radiolabeled glucose analogue taken up by most cells, but its batch activity is limited. [68Ga]FAPI‐04 is a promising alternative based on a fibroblast activation protein‐specific inhibitor (FAPI) labeled with radiotracer FAP. Here, a series of databases suggested that FAP expression was significantly different in pancreatic cancer compared to normal tissue. The FAP‐positive fibroblasts were evaluated around the tumor cells and the stroma. A patient‐derived orthotopic xenograft (PDOX) model of pancreatic adenocarcinoma (PDAC) exhibits significantly higher quantitative uptake of [68Ga]FAPI‐04 (P < 0.05) than [18F]FDG PET/CT in various organs. Because of relatively high (T/M) ratios, the [68Ga]FAPI‐04 is excellent for B‐mode ultrasound, NIRF, and PET/CT. Thus, [68Ga]FAPI‐04 PET displayed a better tumor specificity and can be a potential application for the early detection of pancreatic cancer.
Effect of Comprehensive Nursing Approach in Perioperative Stage of Patients with Hepatocellular Carcinoma Interventional Therapy
Authors: Yuan Yuan , Li Yiwan , Yang Guoxia , Zhang Li , Ye Jin
Published: August 2022

Objective. To examine the efficacy of a complete nursing strategy during the perioperative phase for patients undergoing interventional treatment for hepatocellular cancer. Methods. Sixty patients who were diagnosed with liver cancer and underwent interventional therapy in our hospital between February 2019 and December 2021 were recruited in this trial. All study subjects were numbered according to the time when the patients first came to our hospital, and were equally divided into a comprehensive group and a conventional group based on the odd and even number of the last number, with 30 cases in each group. Those in the conventional group received conventional nursing care, whereas patients in the comprehensive group received comprehensive nursing care. Before and after the nursing intervention, the quality of life, pain, and patient satisfaction in both groups were compared. Results. The quality of survival scores, including physical, emotional, role, social, and cognitive function scores of patients in the comprehensive group, were significantly higher than those in the conventional group (

P
<
0.05

); there was no statistically significant difference in numeric rating scales (NRS) scores between the two groups compared before treatment (

P
>
0.05

). After treatment, the NRS scores of patients in the study group were significantly lower than those of patients in the control group (

P
<
0.05

); before the intervention, the difference between the emotional state scores of patients in the two groups was not significant and not statistically significant (

P
>
0.05

), while the emotional state of patients in both groups improved after the intervention, and the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS) scores of patients in the comprehensive group were lower than those in the conventional group (

P
<
0.05

); the total incidence of adverse reactions in the comprehensive group (10.00%) was significantly lower than that in the conventional group (46.67%) (

P
<
0.05

); and the total satisfaction of patients in the comprehensive group (93.33%) was significantly higher than that of patients in the conventional group (73.33%) (

P
<
0.05

). Conclusion. The intervention of a comprehensive nursing approach in the perioperative period for patients with liver cancer is remarkable as it can relieve patients' psychological burden and pain, ensure a smooth operation, improve patients' postoperative quality of life, and also help to reduce the risk of postoperative adverse reactions, effectively enhancing patients’ satisfaction, and thus deserves to be promoted in clinical practice.
A New Modified Technique of Adomian Decomposition Method for Fractional Diffusion Equations with Initial-Boundary Conditions
Authors: Masood Saadia , Hajira  , Khan Hassan , Shah Rasool , Mustafa Saima , Khan Qasim , Arif Muhammad , Tchier Fairouz , Singh Gurpreet
Published: August 2022

In general, solving fractional partial differential equations either numerically or analytically is a difficult task. However, mathematicians have tried their best to make the task easy and promoted various techniques for their solutions. In this regard, a very prominent and accurate technique, which is known as the new technique of the Adomian decomposition method, is developed and presented for the solution of the initial-boundary value problem of the diffusion equation with fractional view analysis. The suggested model is an important mathematical model to study the behavior of degrees of memory in diffusing materials. Some important results for the given model at different fractional orders of the derivatives are achieved. Graphs show the obtained results to confirm the accuracy and validity of the suggested technique. These results are in good contact with the physical dynamics of the targeted problems. The obtained results for both fractional and integer orders problems are explained through graphs and tables. Tables and graphs support the physical behavior of each problem and the best of physical analysis. From the results, it is concluded that as the fractional order derivative is changed, the graphs or paths of dynamics are also changed. Therefore, we now choose the best solution or dynamic of the problem at a particular derivative order. It is analyzed that the present technique is one of the best techniques to handle the solutions of fractional partial differential equations having initial and boundary conditions (BCs), which are very rare in literature. Furthermore, a small number of calculations are done to achieve a very high rate of convergence, which is the novelty of the present research work. The proposed method provides the series solution with twice recursive formulae to increase the desired accuracy and is preferred among the best techniques to find the solution of fractional partial differential equations with mixed initials and BCs.
Analysis of Bone Loss around Cemented and Biologic Prostheses after Hemiarthroplasty
Authors: Zhang Fan , Liu Chao , Xu Haibo , Zhang Xiafen , He Hanliang
Published: August 2022

Objective. To perform hemiarthroplasty (HA) on elderly patients with femoral neck fractures using cemented and biologic prostheses and then compare the bone loss around the two types of prostheses after surgery. Methods. A total of 60 patients aged over 75 years (with a mean age of 83.5 years) and suffering from femoral neck fracture (Garden types III and IV) from January 2018 to December 2020 were selected; they were randomly divided into group A (

n
=
30

, cemented prostheses) and group B (

n
=
30

, biologic prostheses) and received HA. At 1 month, 6 months, and 12 months after surgery, Harris Hip Scale (HHS) was adopted for patient evaluation, and patients’ bone mineral density (BMD) of the 7 Gruen zones around the prostheses was measured by dual-energy X-ray absorptiometry (DEXA scan). Results. Both groups achieved satisfactory results postoperatively, and the Harris scores of the hips increased gradually over time, which were better in group A than in group B. Gruen zones in group A showed a slower trend of decreasing BMD than group B, and the differences were significant at zones 2, 3, and 4 (

P
<
0.05

). Conclusion. For elderly patients with femoral neck fractures, selecting cemented prosthesis for HA better recovers the hip function and has a low rate of bone loss around the prosthesis.
Effects of Dietary American Cockroach Periplaneta americana Meal Inclusion on the Growth Performance, Antioxidant Capacity, and Immunity of Juvenile Rainbow Trout Oncorhynchus mykiss
Authors: Long Xiaowen , Liu Yuting , Li Yiqing , Li Junjie , Zhao Chengfa , Deng Junming
Published: August 2022

A feeding trial was conducted to assess the effects of dietary American cockroach Periplaneta americana meal (PAM) inclusion on the growth performance, antioxidant capacity, and immunity of juvenile rainbow trout Oncorhynchus mykiss. Five isonitrogenous and isolipidic diets were formulated to contain 100, 150, 200, 250, and 300 g/kg PAM (defined as PAM100-PAM300), respectively. The final body weight and weight gain rate of PAM250 were significantly higher than those of PAM100 and PAM150, and a higher specific growth rate was recorded in PAM200-PAM300. The highest levels of liver alanine aminotransferase and serum aspartate aminotransferase (AST) as well as serum total amino acids were detected in PAM150, while higher levels of liver AST and serum total protein were detected in PAM200-PAM300. The liver lipase activity of PAM150, PAM200, and PAM300 was significantly higher than that of PAM100. The liver glucose content in PAM150 was significantly higher than that in PAM250-PAM300. The highest liver catalase, alkaline phosphatase (AKP), and lysozyme activities were detected in PAM300; the lowest liver malondialdehyde content was detected in PAM250, while the highest serum total antioxidant capacity, catalase, and total superoxide dismutase activities were detected in PAM250. The highest serum AKP and acid phosphatase activities were detected in PAM150, while higher serum IgM and complement C3 contents were detected in PAM200-PAM300. In conclusion, dietary PAM inclusion at 200-300 g/kg could improve the growth performance, antioxidant capacity, and immunity of juvenile O. mykiss.
Dance Action Generation Model Based on Recurrent Neural Network
Authors: Ma Xuan , Wang Kai
Published: August 2022

In recent years, modeling methods based on Deep Learning and Recurrent Neural Network (RNN) have achieved rapid development in various tasks in the field of computer vision, and video generation technology has also achieved remarkable results on this basis, with boosting effect. This paper analyzes the requirements and system design of the dance generation system based on cyclic neural network and clearly puts forward the specific functional requirements and nonfunctional requirements. Design, test each function of the system, and show the graphs generated by our application during training and testing, and visualize the specific value of the loss function during training. Combining the latest image generation technology and the most effective open source gesture detection project, a dance generation algorithm is completed, which can generate a video of the target person completing the specified dance action.
circ_0041795 Induces YAP1 Upregulation to Accelerate the Progression of Diabetic Retinopathy through Binding to miR-589-5p
Authors: Sun Xiaoyan , Liu Dan , Wei Wei
Published: August 2022

Background. Circular RNAs (circRNAs) are involved in the pathogenesis of many diseases, and circ_0041795 was shown to promote the progression of diabetic retinopathy (DR). The aim of this study was to explore the molecular mechanism of circ_0041795 in DR. Methods. Human retinal pigment epithelial cells ARPE-19 were treated with high glucose (HG). circ_0041795, miR-589-5p, and Yes-associated protein 1 (YAP1) levels were measured by reverse transcription-quantitative polymerase chain reaction assay. Biological behaviors were examined by Cell Counting Kit-8 assay for cell viability, EdU assay for cell proliferation, flow cytometry for cell apoptosis, and enzyme-linked immunosorbent assay for cell inflammation. Oxidative stress was assessed via the commercial kits. Western blot was performed for analysis of protein expression. The molecular binding was assessed via dual-luciferase reporter assay and pull-down assay. Results. HG-induced inhibiting effects on cell viability and proliferation but promoting effects on cell apoptosis, inflammation, and oxidative stress were ameliorated by silence of circ_0041795. circ_0041795 was identified to act as a miR-589-5p sponge. The regulation of circ_0041795 in HG-induced cell injury was achieved by inhibiting miR-589-5p. miR-589-5p targeted YAP1 and relieved HG-induced cell dysfunction via downregulating YAP1. circ_0041795 sponged miR-589-5p to regulate YAP1 level and activated the NF-κB pathway through the miR-589-5p/YAP1 axis. Conclusion. All these results elucidated that circ_0041795 facilitated the development of DR by inducing miR-589-5p-mediated YAP1 upregulation.
A Deep Learning Model for Stroke Patients’ Motor Function Prediction
Authors: AlArfaj Abeer Abdulaziz , Hosni Mahmoud Hanan A. , Hafez Alaaeldin M.
Published: August 2022

Deep learning models are effectively employed to transfer learning to adopt learning from other areas. This research utilizes several neural structures to interpret the electroencephalogram images (EEG) of brain-injured cases to plan operative imagery-computerized interface models for controlling left and right hand movements. This research proposed a model parameter tuning with less training time using transfer learning techniques. The precision of the proposed model is assessed by the aptitudes of motor imagery detection. The experiments depict that the best performance is attained with the incorporation of the proposed EEG-DenseNet and the transfer model. The prediction accuracy of the model reached 96.5% with reduced time computational cost. These high performance proves that the EEG-DenseNet model has high prospective for motor imagery brain-injured therapy systems. It also productively exhibited the effectiveness of transfer learning techniques for enhancing the accuracy of electroencephalogram brain-injured therapy models.