bluuebunny/crossref_metadata_2025 huggingface dataset:
Culturally safe interventions in primary care for the management of chronic diseases of urban Indigenous People: a scoping review
Authors: Poitras Marie-Eve , T Vaillancourt Vanessa , Canapé Amanda , Boudreault Amélie , Bacon Kate , Hatcher Sharon
Published: May 2022

Objectives

Chronic conditions represent an important source of major health issues among Indigenous People. The same applies to those, who live off-reserve and in urban areas. However, very few healthcare services are considered culturally safe, resulting in some avoidance of the public healthcare system. Our goal was to review the literature on culturally safe practices available to urban Indigenous People who suffer from chronic diseases.

Design

We conducted a scoping review to determine what culturally safe healthcare services are currently offered for the management of chronic conditions in urban Indigenous populations, to contribute to a tailored, holistic and safe space in mainstream healthcare systems.

Eligibility criteria

Peer-reviewed original research articles had to be published by 27 October 2020, in English or French.

Information source: In October 2020, we searched five academic databases (EBSCO, PsycArticles, SocINDEX, MEDLINE and PsycINFO) and also reviewed grey literature and the websites of organisations or governments. The data were extracted and collected in an EXCEL spreadsheet. Two reviewers independently screened 326 titles and abstracts, followed by an independent evaluation of 48 full text articles. A total of 19 studies were included in this scoping review, as well as 5 websites/documents from the grey literature.

Results

In total, 19 studies were included in our analysis. We found that Elders, family and the assistance of an interpreter are crucial elements to include to make urban Indigenous feel safe when they seek healthcare services. With this scoping review, we report interventions that are successful in terms of healthcare delivery for this population. Our findings provide insight on what services should be in place in mainstream healthcare settings to create a culturally safe experience for urban Indigenous People.

Conclusions

In recent years, there appears to be a growing awareness of the need to provide culturally safe health services. This scoping review identified multiple strategies to promote cultural safety in this context, as well as barriers and facilitators to their implementation. These elements, which have been extensively documented in the literature, should be included in the chronic diseases management interventions to be developed by urban and primary care settings.
Diagnostic and prognostic role of the electrocardiogram in patients with pericarditis
Authors: Imazio Massimo , Squarotti Gabriele Barberi , Andreis Alessandro , Agosti Alessandra , Millesimo Michele , Frea Simone , Giustetto Carla , Deferrari Gaetano Maria
Published: May 2022

Objective

The ECG has been traditionally used to support the diagnosis of pericarditis. However, the pericardium is electrically silent and ECG changes may imply concurrent myocardial involvement rather than simple pericarditis. The aim of the present paper is to analyse the frequency, type and clinical implication of ECG changes in patients with pericarditis compared with those with myocarditis.

Methods

Consecutive patients with pericarditis and/or myocarditis were included in a prospective cohort study from January 2017 to December 2020. A clinical and echocardiographic follow-up was performed at 1, 3, 6 months and then every 6 months. Cardiac magnetic resonance was used to diagnose concurrent myocarditis.

Results

166 patients (median age 47 years, 95% CI 44 to 51) with 66 men (39.8%) were included: 110 cases with pericarditis (mean age 47.7 years, 29.1% male) and 56 cases with myocarditis (mean age 44.8, 60.7% male). ECG changes were reported in 61 of 166 (36.7%) patients: 27 of 110 (24.5%) among those with pericarditis and 34 of 56 (60.7%) among those with myocarditis (p<0.0001). In multivariate logistic regression analysis, ECG changes were associated with troponin elevation (risk ratio 1.97; 95% CI 1.13 to 3.43), suggesting myocardial involvement. ECG changes were not associated with increased risk of adverse events.

Conclusions

ECG changes, mainly widespread ST-segment elevation, can be recorded in about one-quarter of patients with pericarditis, and were not associated with a worse prognosis. These changes may reflect concurrent myocarditis that should be ruled out.
Effects of traditional mind–body movement therapy on chronic cardiopulmonary dyspnoea: a systematic review and meta-analysis
Authors: Zhang Tiange , Zhou Rui , Wang Ting , Xin Yijun , Liu Xiaohong , Huang Huiting
Published: May 2022

Purpose

To evaluate whether traditional mind–body movement therapy (TMBM) can be used as a complementary or alternative therapy for exercise-based cardiopulmonary rehabilitation (EBCR) on chronic cardiopulmonary dyspnoea.

Methods

PubMed, Embase, Scopus, Web of Science and China National Knowledge Infrastructure were searched from their inception to 2 July 2021. Randomised clinical trials evaluating the effectiveness of TMBM versus EBCR, and TMBM +EBCR versus TMBM in the treatment of chronic cardiopulmonary dyspnoea were selected. The outcomes were exercise capacity (6 min walk distance, 6MWD) and quality of life (QoL).

Results

Thirty-four randomised clinical trials with 2456 patients were included. For TMBM vs EBCR alone, statistically significant improvements in the 6MWD favoured the TMBM for chronic obstructive pulmonary disease (COPD) (mean difference(MD)=12.22 m; 95% CI 5.94 to 18.50; I2=56%) and heart failure (HF) patients (MD=43.65 m; 95% CI 7.91 to 79.38; I2=0%). Statistically significant improvements in QoL also favoured TMBM over EBCR for patients with HF(MD=−9.19; 95% CI −11.05 to −7.32; I2=0%) but non-significant trend for COPD (standardised mean difference (SMD)=−0.31; 95% CI −0.62 to 0.01; I2=78%). Comparisons of TMBM +EBCR versus EBCR alone revealed significant improvements in the QoL for COPD (SMD=−0.52; 95% CI −0.94 to −0.10; I2=86%) and patients with HF (MD=−2.82; 95% CI −4.99 to −0.64; I2=0%). The 6MWD results favoured the TMBM +EBCR for patients with COPD (MD=16.76 m; 95% CI 10.24 to 23.29; I2=0%), but only showed a slight trend towards additional benefits of TMBM +EBCR in the HF studies (MD=13.77 m; 95% CI −1.01 to 28.54; I2=65%) .

Conclusions

TMBM has positive effects on patients’ 6MWD and QoL, with similar or even better effects than EBCR. It may be beneficial to use TMBM as a supplementary or alternative strategy for EBCR in treatment plans.

PROSPERO registration number

CRD42021241181.
Variability in opioid pain medication prescribing for adolescent trauma patients in a sample of US pediatric trauma centers
Authors: Mello Michael J , Baird Janette , Bromberg Julie R , Spirito Anthony , Zonfrillo Mark R , Lee Lois K , Christison-Lagay Emily R , Ruest Stephanie M , Pruitt Charles W , Lawson Karla A , Kiragu Andrew W , Nasr Isam , Aidlen Jeremy T , Ebel Beth E , Maxson R Todd , Scott Kelli , Becker Sara J
Published: May 2022

Objectives

The primary objective of this study was to examine opioid prescription frequency and identify differences across a national cohort of pediatric trauma centers in rates of prescribing opioids to injured adolescents at discharge.

Methods

This was a retrospective observational study using electronic health records of injured adolescents (12–17 years) admitted to one of 10 pediatric trauma centers.

Results

Of the 1345 electronic health records abstracted, 720 (53.5%, 95% CI 50.8 to 56.2) patients received opioid prescriptions at discharge with variability across sites (28.6%–72%). There was no association between patient factors and frequency of prescribing opioids. Center’s trauma volume was significantly positively correlated with a higher rate of opioid prescribing at discharge (r=0.92, p=0.001). There was no significant difference between the frequency of opioid prescriptions at discharge among alcohol and other drugs (AOD)-positive patients (53.8%) compared with AOD-negative patients (53.5%).

Conclusions

Across a sample of 10 pediatric trauma centers, just over half of adolescent trauma patients received an opioid prescription at discharge. Prescribing rates were similar for adolescent patients screening positive for AOD use and those screening negative. The only factor associated with a higher frequency of prescribing was trauma center volume. Consensus and dissemination of outpatient pain management best practices for adolescent trauma patients is warranted.

Level of evidence

III—prognostic.

Trial registration number

NCT03297060.
Application of 2D Adaptive Mesh Refinement Method to Estimation of the Center of Vortices for Flow over a Wall-Mounted Plate
Authors: Li Zhenquan , Lal Rajnesh
Published: May 2022

This paper describes the application of an adaptive mesh refinement (AMR) method to estimate centers of vortices of two-dimensional (2D) incompressible fluid flow over a wall-mounted plate. Following the accuracy verification of the AMR method using the benchmarks of 2D lid-driven cavity flows and backward-facing step flows, this study considers the application of the AMR method to the flow over a wall-mounted plate. The AMR method refines a mesh using numerical solutions of the Navier–Stokes equations computed using an open-source flow solver, Navier2D. The AMR is applied to seven test cases considering flows with different Reynolds numbers ([Formula: see text]) and the estimated centers of vortices after the plate are reported. The results show that AMR can capture the location of the center of vortices within the once refined cells. Furthermore, improved estimation of vortex centers is obtained using twice refined meshes. The AMR aims to get a refined mesh which captures the characteristics of flow with required accuracy at a lower computational cost.
Control of Transfer Characteristics of Atomic Layer Deposited Al-Doped SnO2 Thin Film through a Post-Annealing Process
Authors: Kim Byunguk , Park Hyunwoo , Lee Sungkwon , Lee Dowwook , Jung Chanwon , Jeon Hyeongtag
Published: May 2022

In this paper, changes in transfer characteristics for an Al-doped SnO2 thin film using the annealing process was studied. Generally, as-deposited SnO2 thin film has electrical properties similar to those of the conductor due to high carrier concentration. However, various electrical properties such as on/off current ratio could be obtained as Al was doped and the annealing process was performed in an air atmosphere. As a result of XPS analysis, it was confirmed that the concentration of oxygen vacancy concentration decreased when the Al-doped SnO2 thin film was annealed. Compared to the as-deposited Al-doped SnO2 thin film, the annealed Al-doped SnO2 thin film had superior channel characteristics because the oxygen vacancy concentration in the SnO2 thin film was lowered by the oxygen atom diffusion during the annealing process. This is due to the lower carrier concentration. As a result of analyzing the electrical properties of the annealed Al-doped SnO2 thin film, that film annealed at 500 °C, an on/off current ratio of 106 was obtained. And the field effect mobility was also 1.56 cm2 Vs−1.
Communication—Power Enhancement of Fabric Triboelectric Energy Harvesters Using Ultraviolet Light and Fluoro-Based Treatment
Authors: Sohn Changwan , Lee Jason J. , Kim Keith , Jeong Chang Kyu
Published: May 2022

Triboelectricity is a self-powered phenomenon that has recently attracted attention because it is capable of instantaneously generating a large amount of electrical power. In this study, we developed a method to fabricate a fabric-based triboelectric energy-harvesting device and enhanced the output of this device using a Fluorinert coating and ultraviolet (UV)/ozone surface treatment. Through simple surface treatment processes, the electrical output of triboelectric self-generation device will be significantly increased, and at the same time, it will present the possibility of being naturally suitable for next-generation electric clothing products.
Construction and Design of a Smart Tourism Model Based on Big Data Technologies
Authors: Jia QiaoRan , Cui YiLin , LIU E. N. X. U. A. N. , Young Jack , Polly Yuyue , Sun WeiSheng , Shen HuaWen
Published: May 2022

With the continuous advancement in technology, the tourism sector has developed to become one of the most important sectors globally in the modern period. These factors have given rise to the concept of “smart tourism,” which can be described as a step forward from conventional tourism. To achieve a true smart tourism experience, the appropriate services must be supplied to the correct user at the right time and in the most efficient and feasible manner. Keeping the importance of technology and tourism in consideration, the proposal and penetration of innovation-driven development strategies and smart tourism have become the focus of attention in the tourism industry at this stage. Smart tourism is comprised of a large number of tourists, devices, and operational processes which generate an enormous volume of tourism data. Handling such large amounts of tourism data in an effective and accurate manner is indeed an important thing to consider. To handle this issue, this study focuses on the construction and design of a smart tourism model based on big data technologies. This study explains in detail the relationship between smart tourism and big data and explores the construction of smart tourism applications in the context of big data. By explaining the relationship between smart tourism and big data, it is pointed out that the development of smart tourism needs to rely on the construction of a smart tourism application model under the background of big data. To this end, the role of smart tourism, building smart tourism platforms, improving information sharing mechanisms, exploring the implementation path of smart tourism application models, and further promoting the development of smart tourism, is of a great interest for the enterprises, scholars, and tourists. The proposed model is expected to be of a great help for the tourism industry.
Smart Healthcare: Disease Prediction Using the Cuckoo-Enabled Deep Classifier in IoT Framework
Authors: Kumar Ashwani , Satyanarayana Reddy S. Sai , Mahommad Gouse Baig , Khan Baseem , Sharma Rahul
Published: May 2022

The Internet of Things (IoT) is commonly employed to detect different kinds of diseases in the health sector. Presently, disease detection is performed using MRI images, X-rays, CT scans, and so on for diagnosing the diseases. The manual detection process is found to be time-consuming and may result in detection errors that affect the diagnosis. Hence, there is a need for an automatic system for which the deep learning methods gain a major interest. Hence, the idea to combine deep learning and disease prediction to effectively predict the disease is initiated. In this research, the deep learning method is combined with deep learning for the effective prediction of diseases, where the IoT network is employed in the data collection from the patients. The proposed cuckoo-based deep convolutional long-short term memory (deep convLSTM) classifier is employed for disease prediction, where the cuckoo search optimization is utilized for tuning the deep convLSTM classifier. The proposed method is compared with the conventional methods, and it achieved a training percentage of 97.591%, 95.874%, and 97.094%, respectively, for accuracy, sensitivity, and specificity. The comparative analysis proved that the proposed method obtained higher accuracy than other methods.
Clinical Characteristics and Mathematical Analysis of Curative Effect of Hemodialysis in Curing Poisoning Caused by Snakebite
Authors: Huang Guoliang , Chen Bingbing , Luo Yi , Chen Liming , Wu Shaojie , Wang Shijun
Published: May 2022

In order to explore the clinical characteristics of hemodialysis in curing poisoning from snakebites, a two-classification model of nuclear logistic neural network based on restricted Boltzmann machine is proposed. The model combines kernel logistic regression with artificial neural networks, enabling the model to both learn autonomously and handle linearly inseparable problems. The network first performs feature learning through unsupervised training of restricted Boltzmann machines and obtains the initial values of the parameters to be identified, which reduces the influence of the randomness of the initial parameters. The variable universe learning rate with scaling factor is used to learn the parameters to be identified, and the model convergence speed is improved by dynamic adjustment of the learning rate. Experimental results show the following: Compared with before treatment, patient’s activated partial thromboplastin time (APTT) after treatment and the prothrombin time (PT) level decrease, fibrinogen (FIB) levels are elevated, aspartate transferase (AST) and creatine kinase isoenzyme (CK-MB) level decreased, and the differences were statistically significant (

p
<
0.05

). It is proved that continuous hemodiafiltration combined with plasma exchange treatment can effectively improve the blood coagulation index and myocardial index of severe snakebite poisoning patients.
Comparison of Open and Robot-Assisted Kidney Transplantation in terms of Perioperative and Postoperative Outcomes
Authors: Karadag Serdar , Eksi Mithat , Ozdemir Osman , Kargi Taner , Haciislamoglu Ahmet , Evren Ismail , Polat Hakan , Sokmen Dogukan , Ozlu Deniz Noyan , Sahin Selcuk , Tugcu Volkan
Published: May 2022

Background. The gold standard treatment method for end-stage renal disease (ESRD) is renal transplantation (RT). RT can be done with open or minimally invasive surgical methods. We aimed to compare the outcomes between patients who underwent robot-assisted renal transplantation (RART) and open renal transplantation (ORT). Methods. Data of the patients who underwent ORT or RART in two institutions between June 2015 and February 2020 were retrospectively reviewed. Patients who underwent live donor RT were included, and all donor nephrectomy procedures were performed by the laparoscopic technique. Demographic data, ischemia times, anastomosis times, operation times, and postoperative complications were recorded. Results. 98 patients were included in the ORT group, while 91 patients were included in the RART group. There was a significant difference between the two groups regarding mean patient age. While total ischemia time was 86.9 ± 7 minutes in the RART group, it was calculated as 71.2 ± 3.3 minutes in the ORT group, with a significant difference. The anastomosis time was significantly shorter in the ORT group than in the RART group. The incision length and duration of hospital stay were significantly shorter, visual analogue scores were significantly lower, and estimated blood loss was less in the RART group than in the ORT group. Conclusion. Both ORT and RART are effective and safe methods for treating ESRD. According to our study, RART is associated with relatively longer ischemia times but lower complication rates and higher patient comfort.
Application of Gap Metric to LADRC Design in Multilinear Model of SDR
Authors: Wang Hongfu , Zeng Qinghua , Wang An , Zhang Zongyu
Published: May 2022

The solid ducted rocket ramjet (SDR) system faces many disturbances in the process of operation, and the linear active disturbance rejection controller (LADRC) has been widely used in engineering to solve such problems. However, the SDR also has strong nonlinearity, which brings a great challenge to the application of the LADRC in the gas flow regulation of the SDR. And the problem of fast adjustment of the “compensation factor” is one of the main difficulties in LADRC. In this paper, under the LADRC frame, the gas generator system’s closed-loop stability of the SDR was analyzed and the range of compensation factors had been calculated, and then, the “gap factor” was introduced and the “cross-iteration” method was used to quickly map out the “compensation factor” in the multilinear model controller based on the variation of the zero-point position of the system and the gap metric between adjacent set points. This greatly simplifies the parameter tuning process of the LADRC when it was applied to strongly nonlinear systems. Finally, through the comparison of simulation with adaptive PI controller and model-assisted LADRC (M-LADRC), the results have shown that the control method designed in this paper can obtain satisfactory performance and has a good engineering application prospect.
A Chinese Intelligent Teaching Platform for Colleges Based on Cloud Computing
Authors: Qi Yu , Huang Yunfeng
Published: May 2022

In China, the Chinese subject is called “the mother of the encyclopedia.” Learning Chinese well is the basic condition for learning other subjects well. Therefore, Chinese education has always undertaken the important task of teaching the mother tongue and cultural inheritance and has a great influence on the development process of China’s education. Society is facing new opportunities and challenges since the 21st century, and all the mobile Internet, cloud computing, and Internet of Things achieve great development. Using the increasingly mature technology of data information collection, analysis, and processing can realize a more comprehensive evaluation of students in teaching activities. In the current upsurge of big data, it is more and more widely used in the field of education, such as learning analysis, network education platform, education information management platform, education AP, and smart campus. In this context, Chinese teaching needs more open courses, which requires us to organically integrate the existing information technology and Chinese teaching, and on this basis, integrate modern educational data sets and learning analysis technology into Chinese teaching and learning, to promote the improvement of the quality of language teaching and learning. The development of information technology in the intelligent era provides an opportunity for the establishment and application of an intelligent classroom. This paper constructs an intelligent and efficient new classroom equipped with smart devices teaching mode based on defining the concept and connotation of a classroom equipped with smart devices. The proposed model is combined with the current situation and the development of classrooms equipped with smart devices. It also analyzes the difficulties and pain points of traditional College Chinese teaching. The research results can provide a reference for the implementation of intelligent classroom teaching mode in College Chinese and other general courses in higher vocational colleges.
Resilience of Urban Road Network to Malignant Traffic Accidents
Authors: Lu Yiding , Zhang Zhan , Fang Xinyi , Gao Linjie , Lu Linjun
Published: May 2022

Malignant traffic accidents are typical devastating events suffered by the urban road network. They cause severe functional loss when loading on the urban road network is high, exerting a significant impact on the operation of the city. The resilience of a road network refers to its ability to maintain a certain level of capacity and service when disturbed by external factors and to recover after a disturbance event, which is a crucial factor in the construction of transportation infrastructure systems. A comprehensive understanding of the adverse effects of malignant traffic accidents on the urban road network is imperative, and resilience is a concept employed to systematically explain this. This study investigates the impact of malignant traffic accidents on the resilience of the urban road network. A simulation is carried out focusing on an ideal urban road network, describing the temporal and spatial distribution of the average speed of road sections in the network. Inspired by the simulation experiment results, the ideal resilience curve is summarized, and the theory of resilience concept portrayal is innovatively developed into “6R” (redundancy, reduction, robustness, recovery, reinforcement, and rapidity). Combining the topological and “6R” resilience attributes of the urban road network, the urban road network resilience evaluation system is constructed, which yields an all-round and full-process evaluation for the urban road network with malignant traffic accidents. Results show that under malignant traffic accidents, the resilience of high-class surface roads, such as primary roads, is the poorest, suggesting that more attention and resources must be devoted to high-class surface roads. This study on the urban road network deepens the understanding and portrayal of its resilience and proposes an evaluation method to analyze its performance under disruption events.
Construction of Evaluation Indicator System of College Physical Education Teaching Environment Based on Analytic Hierarchy Process
Authors: Zhang Long
Published: May 2022

As a training base for professional talents, colleges and universities continue to deliver high-quality service-oriented and technical-oriented talents for the country’s production, construction, service, and other industries. College students will have to face higher-intensity and higher-density work in their jobs for the future. It requires college students to develop good exercise habits, learn sports knowledge, and build healthy physiques at the university stage so that they can adapt to heavy work in all walks of life. However, on the one hand, there is a relatively lack of research on the systematization of physical education management and the development of physical education resources; on the other hand, physical education in colleges and universities faces problems such as low level of physical education, low utilization of teaching resources, and declining teaching quality. In view of the above problems, this paper proposes the method of literature and materials to carry out the primary selection of the indicators of the evaluation system of physical education teaching environment in colleges and universities. Then, two rounds of screening are carried out for the primary indicators to determine the specific indicators of the evaluation system. Next, the analytic hierarchy process (AHP) is applied to construct the judgment matrix of the indicators at all levels, calculate the weight value of each indicator and do the consistency test, and establish a complete evaluation system of the physical education environment in colleges and universities. Finally, through empirical evidence, it is verified that the constructed evaluation system has operability and feasibility. The evaluation and measurement of colleges and universities carrying out physical education curriculum can ensure the correct and rapid development of physical education teaching and provide reference for the management of physical education resources in colleges and universities.
A Contrastive Corpus-Based Approach to the Expression of Adversarialness across English and Persian: A Case Study of Political Press Conferences
Authors: Pourshahian Bahar , Tilwani Shouket Ahmad , Naserpour Azam
Published: May 2022

With the point of departure in discourse analysis (DA), this corpus comparative study concentrated on sequences with adversarial questions in political press conferences to investigate the differences in the use of adversarial questioning between two contexts, namely, English and Persian political press conferences, and particularly highlight the strategies which were used by journalists in such sequences of talk journalists and politicians so as to show the importance of improving linguistic proficiency in EFL context. For this reason, this study analyzed a corpus of data from some political press conferences with American and Iranian Government which is randomly selected from appropriate websites between 2007 and 2021. The study applied Clayman, Heritage, and McDonald (2006) for quantifying adversarial questions as exhibited by the press to the questions addressed the Presidents of Iran and the United States. Questions from selected conferences were coded according to adversarialness. Frequency and chi-square tests were used for analysis. The results showed significant difference across the 2 corpora in some journalists’ questions. In terms of question design, accountability questions in Iranian journalists’ questions as Persian corpus indicated higher frequency. In addition, in referencing frames, higher frequency was observed in declarative questions in Persian corpus. However, English corpus displayed higher frequency in other-referencing frames. Finally, in content adversarialness, global adversarialness indicated higher frequency in Persian corpus. Consequently, the results showed that adversarial questions were used in Persian corpus more significantly than English corpus. The results of the study not only will help the students gain linguistic competence, but it will also improve their overall language proficiency.
Development of a Transcription Factor-Based Prognostic Model for Predicting the Immune Status and Outcome in Pancreatic Adenocarcinoma
Authors: Zhang Xianbin , Li Li , Liu Peng , Tian Yu , Gong Peng
Published: May 2022

Pancreatic adenocarcinoma (PAAD) is the most common primary malignancy of the pancreas. Growing studies indicate that transcription factors (TFs) are abnormally expressed in PAAD. We, therefore, aimed to evaluate the effect of TFs in PAAD and develop a TF-based prognostic signature for the patients. The expression of the TFs and the clinical characteristics were obtained from TCGA datasets. The levels of the TFs were evaluated in PAAD tissues or nontumor tissues. Kyoto Encyclopedia of Genes and Genomes (KEGG) was used to determine the potential function of the dysregulated TFs. To create a prognostic signature, we used univariate and multivariate Cox regression. In addition, the relationship between risk score and tumor microenvironment was analyzed. In this study, we observed 19 increased and 10 decreased TFs in PAAD tissues. KEGG assays indicated that dysregulated TFs were involved in transcriptional misregulation in cancer. Multivariate Cox analysis identified two prognostic factors, Zinc finger protein 488 and BCL11A; and we developed a risk score model by these two factors. The Kaplan-Meier estimator suggested that patients with high risk exhibited a shorter overall survival than those with low risk. The receiver operating characteristic curve proved that the accuracy of this prognostic signature was 0.686 in predicting the 5-year survival. In addition, we observed that the high score was distinctly related to advanced tumor stage and immune infiltrates. Taken together, we developed a novel TF-related model which could be applied as a potential prognostic tool for PAAD and may guide the choice of immunotherapies.
Ultrasonic S-Wave to Obtain Shear Modulus and Matrix Permeability of D’Euville Limestone
Authors: Li Guangquan , Miao Yifang , Li Ruoyu
Published: May 2022

In this paper, velocity and attenuation of ultrasonic S-wave in a water-saturated rock are used for calculating shear modulus and matrix permeability of the rock, via a model improved from Biot theory. The model requires two inputs, i.e., the dry velocity of S-wave and the average distance of aperture representing pores, to yield phase velocity and the quality factor as functions of frequency. By fitting the predicted velocity and quality factor against the ultrasonically measured counterparts, the dry velocity of S-wave and the average distance of aperture are ascertained, which in turn yield shear modulus and matrix permeability, respectively. The modeling results on D’Euville limestone from France show that the specimen has shear modulus of 11.35 and 11.55 GPa (under differential pressures of 3 and 5 MPa, respectively) and matrix permeability of 0.0486 Darcy (under both differential pressures). The matrix permeability appears to be approximately one half of Darcy permeability.
The Offset Position Prediction of Light Buoy Based on Grey Optimization Multiplicative Seasonal Model
Authors: Wu Zhizheng , Ren Lüzhen , Zhou Shibo , Wen Jiandong , Xu Wenpeng , Zhang Xinliang
Published: May 2022

Light buoy is a navigation aid sign to guide ship navigation, which plays an important role in ensuring the safety of ship navigation. To predict the offset distance of light buoy and provide accurate position information of light buoy for ship navigation safety, and to solve the problem of low prediction accuracy caused by the excessive amplitude of initial training data in the traditional multiplicative seasonal model, a grey optimization multiplicative seasonal model is proposed. By analyzing the characteristics of the time series of the light buoy offset data, as well as the regularity and seasonal characteristics of the light buoy offset distance, an optimization model is established. Based on the real offset distance data of the 1 # light buoy in Meizhou Bay, the model is simulated, and the prediction accuracy of the model is evaluated by MAPE, RMSE, and the Monte Carlo sampling method. The results show that, compared to the traditional multiplicative seasonal model, the average absolute percentage error of the grey optimization multiplicative seasonal model is reduced by 6.66%, and the root mean square error is reduced by 2.96. It shows that the model can effectively deal with the problem that the error of the prediction results caused by the instability of the initial time series of the traditional multiplicative seasonal model is too large, which provides a new idea for the prediction of the offset distance of the light buoy and the navigation safety of the ship.
Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education
Authors: Hooda Monika , Rana Chhavi , Dahiya Omdev , Rizwan Ali , Hossain Md Shamim
Published: May 2022

The core focus of this review is to show how immediate and valid feedback, qualitative assessment influence enhances students learning in a higher education environment. With the rising trend of online education especially in this COVID-19 pandemic, the role of assessment and feedback also changes. Earlier the assessment part is not considered the main focus in learning and teaching in HEIs, but now with the increase in online education, it is observed that the paradigm is shifted toward assessing those activities of students that enhance their learning outcomes. A lot of research work has been done on developing assessment strategies and techniques that can support learning and teaching effectively. Yet, there is limited research that looks at how methods applied in learning analytics can be used and possibly constitutes the assessment process. The objective of this work is to provide an exploratory and comparative study of how assessment and feedback practices can enhance students learning outcomes using AI. The key contribution of this study attempts to capture an outline of the most used artificial intelligence and machine learning algorithms for student success. The results showed that I-FCN performed better than other techniques (ANN, XG Boost, SVM, Random Forest, and Decision Trees) in all measured performance metrics. Also, the result of the comparative analysis study will help the educators, instructors, and administrators on how they could take the advantage of a data-driven approach, design less pressurized, more valid, reliable, constructive assessment findings, and connect the power of assessment and feedback to enhance the learning outcomes.
[Retracted] Value of Multislice Spiral CT in Differential Diagnosis of Thick‐Wall Gallbladder Carcinoma and Chronic Cholecystitis
Authors: Han Hua , Han Jun
Published: May 2022

To summarize the value of multislice spiral CT (MSCT) in the differential diagnosis of thick-wall gallbladder carcinoma (TWGC) and chronic cholecystitis (CC), the clinical data of 36 patients with TWGC and 60 patients with chronic cholecystitis who were treated in our hospital from January 2017 to May 2021 were retrospectively analyzed, and the CT image features and diagnostic accuracy of the patients were summarized. Compared with the CC group, the proportions of disruption of gallbladder mucosa line, blurred gallbladder outline, high obstruction of biliary tract, lymphomegaly, adjacent invasion, peritoneal effusion, wall nodules, and the gallbladder wall thickness in the TWGC group were higher, with statistical significance (P < 0.05). Thirty‐four patients with TWGC and 62 patients with chronic cholecystitis were diagnosed by MSCT. The sensitivity and specificity of MSCT in diagnosing TWGC were 86.11% and 95.00%, respectively. The positive likelihood ratio was 17.222 and the negative likelihood ratio was 0.1462. The positive prediction rate was 91.18%, the negative prediction rate was 91.94%, and the correct rate was 91.67%. MSCT can show the characteristic difference between TWGC and chronic cholecystitis, which can be used for differential diagnosis.
Adipose-Derived Circulating Exosomes Promote Protection of the Pulmonary Endothelial Barrier by Inhibiting EndMT and Oxidative Stress through Down-Regulation of the TGF-β Pathway: A Potential Explanation for the Obesity Paradox in ARDS
Authors: Qi Di , Deng Wang , Chen Xiaorui , Fan Shulei , Peng Junnan , Tang Xumao , Wang Daoxin , Yu Qian
Published: May 2022

The “obesity paradox in acute respiratory distress syndrome” (ARDS) refers to the phenomenon in which obesity is associated with higher morbidity but lower mortality in patients with ARDS. Endothelial-to-mesenchymal transition (EndMT) represents a key link in the interaction between endothelial disruption and mesenchymal fibrosis under inflammatory and oxidative conditions, which represent the intersectional pathophysiology of ARDS. Adipose tissue is considered to constitute the major source of circulating exosomal microRNAs (miRNAs), which act as genetic forms of adipokines for cell–cell crosstalk. We aimed to demonstrate the regulation and mechanism of adipose-derived exosomes in the obesity paradox in ARDS. High-fat-induced obese mice and lean control mice were subjected to ARDS insult to investigate the effects of obesity on ARDS and microarray analysis was performed to screen for differences in circulating miRNAs. In addition, mice and pulmonary endothelial cells were administered with adipose-derived exosomal miR-122-5p to investigate the underlying molecular mechanisms. We found high-fat diet-induced obesity protected against ARDS in mice by reinforcing endothelial barrier and attenuating fibroproliferation. Circulating exosomes produced in the obese state mediated these protective effects by inhibiting EndMT and oxidative stress. Mechanistically, adipose-derived exosomal miR-122-5p promoted the integrity and function of pulmonary endothelial barrier and alleviated fibrogenesis by suppressing EndMT and oxidative stress through down-regulation of the transforming growth factor β1 (TGF-β1)/TGF-β receptor 1 (TGF-βR1)/Smad2 pathway in vivo and in vitro. In conclusion, adipose-derived circulating exosomal miR-122-5p protects against ARDS by reinforcing pulmonary endothelial barrier through inhibition of EndMT and oxidative stress via down-regulation of the TGF-β pathway, which propose a potential explanation for the obesity paradox in ARDS and indicate promising prospects for adipose-derived exosomes in cell-free therapies for ARDS.
Choroidal Thickness in Eyes with Band Atrophy of the Optic Nerve from Chiasmal Compression
Authors: Mello Luiz Guilherme Marchesi , Suzuki Ana Claudia F. , de Mello Giuliana Rovito , Preti Rony Carlos , Zacharias Leandro C. , Monteiro Mário L. R.
Published: May 2022

Background. The choroid is a vascular tissue that helps maintain retinal and prelaminar optic nerve head function. Choroidal thickness has been previously studied in diseases accompanied by retinal neural loss, but the relationship between the two sets of measurements is not clear. In eyes with temporal hemianopia as a result of chiasmal compression lesions (CCL), retinal neural loss tends to be greater in the nasal than the temporal hemiretina, a fact that may be useful in evaluating the effect of inner retinal layer loss on choroidal thickness. Purpose. To evaluate macular and peripapillary choroidal thickness on swept-source optical coherence tomography (SS-OCT) in eyes with temporal hemianopia as a result of chiasmal compression and in healthy controls. Methods. 33 eyes of 26 patients with band atrophy of the optic nerve and temporal visual field defects as a result of previously treated suprasellar tumors (CCL group) and 40 eyes of 21 healthy controls underwent SS-OCT scanning. The thickness of the peripapillary retinal nerve fiber layer (pRNFL), the peripapillary choroid (pChoroid), the macular RNFL (mRNFL), the macular ganglion cell layer (mGCL), and the macular choroid (mChoroid) was expressed globally and by sector (peripapillary quadrants and macular hemifield and quadrants). Ratios between macular nasal and temporal hemifield and quadrantic measurements were calculated using generalized estimated equation models, and the two groups were compared. Results. The pRNFL, mRNFL, and mGCC thicknesses were significantly smaller in the CCL group than in the control group (64.67 ± 10.53 μm, 29.68 ± 5.80 μm, and 80.60 ± 10.17 μm vs. 103.78 ± 12.23 μm, 39.89 ± 3.82 μm, and 105.51 ± 7.76 μm, respectively;

p
<
0.001

). For the choroid, the only difference between the groups was increased macular nasal hemifield and superonasal quadrant thickness in CCL (222.47 ± 61.05 μm and 230.45 ± 58.59 μm in the CCL group, respectively vs. 190.68 ± 52.54 μm and 197.65 ± 54.80 μm in the control group, respectively;

p
<
0.05

). The temporal/nasal ratios were significantly higher for the mRNFL and mGCC parameters and significantly lower for the mChoroid parameters in the CCL group, except for the superotemporal/superonasal quadrant ratio. Conclusions. The choroid does not thin after the inner retinal layer becomes damaged due to CCL and may even be thicker in some areas with corresponding severe retinal neural loss. While further studies are needed to interpret these findings, choroidal thinning is most likely not secondary to optic nerve disease-related inner retinal neural loss.
Computational Technologies on Modeling of Museum Interactive Virtual Display Based on User Experience
Authors: Zou Yiliao
Published: May 2022

In order to solve the problems of the traditional museum interactive virtual display modeling methods such as poor clarity, low user satisfaction, and long interactive response time, a museum interactive virtual display modeling method based on user experience was proposed. The museum information collection system is set up to collect 3D point cloud data of exhibits by using the system, and the 3D point cloud data are denoised by the moving least squares method. The museum building data and denoised 3D point cloud data are integrated, and all point cloud data are registered. According to the registration results, the interactive virtual display model of the museum is preliminarily constructed, and the user experience model is used to adjust the parameters of the display model to realize the interactive virtual display modeling of the museum. The simulation results show that the proposed method has a high definition of the interactive virtual display of a museum, the average user satisfaction is 9.45, and the interactive response time is always below 0.4s, which fully verifies the superiority of the proposed method.
Sasakian Manifolds Admitting
∗
-
η
-Ricci-Yamabe Solitons
Authors: Haseeb Abdul , Prasad Rajendra , Mofarreh Fatemah
Published: May 2022

In this note, we characterize Sasakian manifolds endowed with

∗

-

η

-Ricci-Yamabe solitons. Also, the existence of

∗

-

η

-Ricci-Yamabe solitons in a 5-dimensional Sasakian manifold has been proved through a concrete example.
Solution and Stability of Quartic Functional Equations in Modular Spaces by Using Fatou Property
Authors: Uthirasamy N. , Tamilvanan K. , Nashine Hemant Kumar , George Reny
Published: May 2022

We propose a novel generalized quartic functional equation and investigate its Hyers–Ulam stability in modular spaces using a fixed point technique and the Fatou property in this paper.
Study on Characteristics of the Water-Sediment Two-Phase Flow in Fractures Based on Numerical Simulation
Authors: Cao Lili , Wu Chuan , Xu Hanhua , Yu Hao , Li Ming , Han Yu , Chen Zhanqing
Published: May 2022

The instability of water-sediment flow in fractures can easily induce water-sediment disasters. Therefore, it is of great significance for the prevention and control of water-sediment inrush to study the water-sediment two-phase flow in fractures. Based on the water-sediment two-phase flow theory, a model of the water-sediment two-phase flow system was established. The Ansys Fluent software was used to study the characteristics of the water-sediment two-phase flow in smooth and rough fractures. The spatial-temporal evolution laws of the water-sediment two-phase flow were studied; the results indicated that they did not change with time in the smooth fractured flow fields, while changing continuously with time in the rough fractured flow fields and in a dynamic steady state. The research results can provide references for the water-sediment two-phase flow in fractures and rock mass.
Security Enhancement Algorithm of SM-254 Cloud System and Automated Personnel Identification of the Management in the Supply Chain Enterprise
Authors: Junhui Li
Published: May 2022

To resolve the problems pertinent to data loss and privacy leakage caused by hackers in the cloud system during the computational process, the symmetric encryption (SM)-254 algorithm is employed to optimize the security function based on the original algorithm of the cloud system. The personnel data of the supply chain enterprise are loaded through the backpropagation neural network (BPNN) algorithm, and an automated management model of the cloud system is constructed according to the management system and the personnel organization structure of each department. Thus, the automated identification system of the personnel management of the supply chain enterprise is realized. Through the establishment of an automated management system by the cloud system, the accuracy of a cloud system to capture data pertinent to the personnel management of supply chain enterprises has increased by about 90% and the accuracies of both text recognition and image recognition for personnel management systems of supply chain enterprises reach about 92%. Hence, it enables supply chain enterprises to save time, money, and personnel and increases flexibility and brings convenience to personnel management, which is conducive to the personnel training, evaluation, and subsequent development of enterprises. Consequently, automated management gives enterprises an upper hand to use talents flexibly and comprehensively and establish an intact database of human resources (HR). It is found that the security enhancement algorithm of the cloud system can greatly reduce the risk of information leakage in the HR database and greatly improve the operational efficiency of the supply chain enterprise.
The Rayleigh–Stokes Problem for a Heated Generalized Second-Grade Fluid with Fractional Derivative: An Implicit Scheme via Riemann–Liouville Integral
Authors: Ganie Abdul Hamid , Saeed Abdulkafi Mohammed , Saeed Sadia , Ali Umair
Published: May 2022

The goal of this study is to use the fast algorithm to solve the Rayleigh–Stokes problem for heated generalized second-grade fluid (RSP-HGSGF) with Riemann–Liouville time fractional derivative using the fast algorithm. The modified implicit scheme, which is formulated by the Riemann–Liouville integral formula and applied to the fractional RSP-HGSGF, is proposed. Numerical experiments will be carried out to demonstrate that the scheme is simple to implement, and the results will reveal the best way to implement the suggested technique. The proposed scheme’s stability and convergence will be examined using the Fourier series. The method is stable, and the approximation solution approaches the exact solution. A numerical demonstration will be provided to demonstrate the applicability and viability of the suggested strategy.