bluuebunny/crossref_metadata_2025 huggingface dataset:
Clearance of small intestinal crypts involves goblet cell mucus secretion by intracellular granule rupture and enterocyte ion transport
Authors: Dolan Brendan , Ermund Anna , Martinez-Abad Beatriz , Johansson Malin E. V. , Hansson Gunnar C.
Published: September 2022

Goblet cells in the small intestinal crypts contain large numbers of mucin granules that are rapidly discharged to clean bacteria from the crypt. Because acetylcholine released by neuronal and nonneuronal cells controls many aspects of intestinal epithelial function, we used tissue explants and organoids to investigate the response of the small intestinal crypt to cholinergic stimulation. The activation of muscarinic acetylcholine receptors initiated a coordinated and rapid emptying of crypt goblet cells that flushed the crypt contents into the intestinal lumen. Cholinergic stimulation induced an expansion of the granule contents followed by intracellular rupture of the mucin granules. The mucus expanded intracellularly before the rupture of the goblet cell apical membrane and continued to expand after its release into the crypt lumen. The goblet cells recovered from membrane rupture and replenished their stores of mucin granules. Mucus secretion from the goblet cells depended on Ca
2+
signaling and the expansion of the mucus in the crypt depended on gap junctions and on ion and water transport by enterocytes adjacent to the goblet cells. This distinctive mode of mucus secretion, which we refer to as “expanding secretion,” efficiently cleans the small intestine crypt through coordinated mucus, ion, and fluid secretion by goblet cells and enterocytes.
SARS-CoV-2 Diverges from Other Betacoronaviruses in Only Partially Activating the IRE1α/XBP1 Endoplasmic Reticulum Stress Pathway in Human Lung-Derived Cells
Authors: Nguyen Long C. , Renner David M. , Silva Diane , Yang Dongbo , Parenti Nicholas A. , Medina Kaeri M. , Nicolaescu Vlad , Gula Haley , Drayman Nir , Valdespino Andrea , Mohamed Adil , Dann Christopher , Wannemo Kristin , Robinson-Mailman Lydia , Gonzalez Alan , Stock Letícia , Cao Mengrui , Qiao Zeyu , Moellering Raymond E. , Tay Savas , Randall Glenn , Beers Michael F. , Rosner Marsha Rich , Oakes Scott A. , Weiss Susan R.
Published: September 2022

SARS-CoV-2 is the third lethal respiratory coronavirus, after MERS-CoV and SARS-CoV, to emerge this century, causing millions of deaths worldwide. Other common coronaviruses such as HCoV-OC43 cause less severe respiratory disease.
Geodynamics of the Russian Arctic Shelf and Relief-Forming Processes in the Central Kara Basin
Authors: Sorokhtin N. O. , Nikiforov S. L. , Ananiev R. A. , Dmitrevskiy N. N. , Moroz E. A. , Sukhih E. A. , Kozlov N. E. , Chikirev I. V. , Fridenberg A. I. , Koluibakin A. A.
Published: September 2022

The article deals with the issues of the geodynamic evolution of the Kara–Barents Sea shelf and influence of structure-forming processes on the nature of relief formation. The aggregate data obtained allows us to assume that the relief of the western part of the Russian Arctic formed as a result of polycyclic processes of closing of the Proto-Atlantic, Paleoural, and Iapetus oceans. A systematic analysis of paleogeodynamic reconstructions of the evolution of the continental crust of the Arctic region makes it possible to identify with a high degree of reliability the spatiotemporal patterns of relief formation, predict areas of localization of hazardous phenomena on the seafloor, and substantiate geomorphological criteria for searching for hydrocarbon deposits in shallow bedding.
Effect and safety of diluted vasopressin injection on bleeding during robot-assisted laparoscopic myomectomy: a protocol for a randomised controlled pilot trial
Authors: Lee Eun Ji , Park Soo Jin , Kim Yup , Lim Hyunji , Lee Seungmee , Yim Ga Won , Song Gwonhwa , Kim Hee Seung
Published: September 2022

Introduction

Even though the injection of diluted vasopressin into the uterus is expected to reduce intraoperative bleeding with decreased adverse effects during robot-assisted laparoscopic myomectomy (RALM), there is a lack of relevant trials to show its effect and safety. Thus, this study was designed to compare the effect and safety of vasopressin injection on bleedings based on dilution levels of vasopressin with constant volumes during RALM.

Methods and analysis

This is a randomised controlled pilot trial, where a total of 39 patients will be randomly divided into three experimental groups in a 1:1:1 ratio. All patients will be classified into the three groups based on the dilution level of vasopressin: group 1—a solution prepared by mixing 20 units of vasopressin with 100 mL of normal saline to make a total of 100 mL; group 2—a solution prepared by mixing 20 units of vasopressin with 200 mL of normal saline to make a total of 100 mL and group 3—a solution prepared by mixing 20 units of vasopressin with 400 mL of normal saline to make a total of 100 mL. During RALM, we will inject diluted vasopressin at different concentrations with a total of 100 mL. As the primary endpoint, estimated blood loss would be compared. As secondary endpoints, we will check the level of haemoglobin and haematocrit, operation time, amount of transfusion, and the period of hospitalisation. In addition, we will check other complications related to vasopressin injection.

Ethics and dissemination

This pilot study has been approved by the Institutional Review Board of the Seoul National University Hospital (No. H-2011-107-1174). All potential subjects will be provided written informed consent. The results of this study will be published in peer-reviewed journals and be presented at academic conferences.

Trial registration numbers

NCT04874246 and CKCT0006225.
Occupational therapy lifestyle intervention added to multidisciplinary treatment for adults living with chronic pain: a feasibility study
Authors: Nielsen Svetlana Solgaard , Skou Søren T , Larsen Anette Enemark , Polianskis Romanas , Pawlak Wojciech Zbigniew , Vægter Henrik Bjarke , Søndergaard Jens , Christensen Jeanette Reffstrup
Published: September 2022

Objectives

To evaluate the feasibility and outcomes of an occupational therapy lifestyle intervention for adults living with chronic pain.

Design

This one-group pre-post interventional study investigated the feasibility and outcomes of the Redesign Your Everyday Activities and Lifestyle with Occupational Therapy (REVEAL(OT)) intervention targeting meaningful activities and lifestyle.

Settings

The occupational therapist-led intervention was added to standard multidisciplinary chronic pain treatment at a Danish pain centre.

Participants

Of the 40 adult participants aged 18–64 (mean 46.6±10.9 years old, 85% females, chronic pain duration ≥3 months), there were 31 completers.

Intervention

Three feasibility rounds were carried out in 2019–2021. The intervention focused on meaningful activities, healthy eating habits and daily physical activity. Methods of didactical presentations, group discussions, personal reflection and experiential learning were used in the intervention composed both of individual and group sessions.

Outcomes

Primary outcomes were predefined research progression criteria evaluated by the red-amber-green method. Secondary outcomes measured pre-post changes in health-related quality of life and occupational performance and satisfaction.

Results

The study demonstrated satisfactory programme adherence (77.5%), patients’ self-perceived relevance (97%), timing and mode of delivery (97%) and assessment procedure acceptance (95%). No adverse events causing discontinuation occurred. Recruitment rate (n=5.7 monthly), retention (77.5%) and the fidelity of delivery (83.3%) needed improvement. We observed no improvement in health-related quality of life (mean=0.04, 95% CI −0.03 to 0.12) but positive change in occupational performance (mean=1.80, 95% CI 1.25 to 2.35) and satisfaction (mean=1.95, 95% CI 1.06 to 2.84). The participants reached the minimal clinically important difference for occupational performance (≥3.0 points in 13.8%) and satisfaction (≥3.2 points in 24.0%).

Conclusions

The REVEAL(OT) intervention was feasible to deliver and beneficial for the participants’ occupational performance and satisfaction. The interventions’ recruitment, retention and delivery strategies need optimisation in a future definitive trial.

Trial registration number

NCT03903900
Protocol of notable-HCC: a phase Ib study of neoadjuvant tislelizumab with stereotactic body radiotherapy in patients with resectable hepatocellular carcinoma
Authors: Zhang Bo , Yue Jinbo , Shi Xuetao , Cui Kai , Li Lei , Zhang Chengsheng , Sun Pengfei , Zhong Jingtao , Li Zhongchao , Zhao Lei
Published: September 2022

Introduction

Liver resection is the mainstay of curative-intent treatment for hepatocellular carcinoma (HCC), but the postoperative 5-year recurrence rate reaches 70%, and there are no adjuvant or neoadjuvant therapies recommended by major HCC guidelines that can reduce the risk of recurrence. In the recent decade, significant progress has been achieved in the systemic treatment of HCC, mainly from immune checkpoint inhibitors (ICIs) and targeted therapy. In other malignancies, ICIs in the neoadjuvant setting have shown better outcomes than in the adjuvant setting. On the other hand, the addition of radiation to ICIs incrementally improves the systemic response to ICIs. Neoadjuvant therapy of ICIs plus stereotactic body radiotherapy (SBRT) has shown promising results in several types of solid tumours but not HCC.

Methods and analysis

Here, we describe a phase Ib clinical trial of neoadjuvant SBRT plus PD-1 (tislelizumab) prior to hepatic resection in HCC patients. Prior to resection, eligible HCC patients will receive 8 Gy×3 fractions of SBRT together with two cycles of tislelizumab with an interval of 3 weeks. HCC resection is scheduled 4 weeks after the second dose of tislelizumab, followed by adjuvant tislelizumab for 1 year. We plan to enrol 20 participants in this trial. The primary study endpoints include the delay of surgery, tumour response and safety and tolerability of the sequential SBRT/tislelizumab. Other endpoints are the disease-free survival and overall survival rates every 3 or 6 months after the surgery.

Ethics and dissemination

This trial was approved by the Ethics Committee of Shandong Cancer Hospital and Institute (SDZLEC2022-021-01). The final results of this trial will be published in a peer-reviewed journal after completion.

Trial registration number

NCT05185531.
Prevalence of isolated diastolic hypertension and the risk of cardiovascular mortality among adults aged 40 years and older in northeast China: a prospective cohort study
Authors: Yue Ling , Chen Hongyun , Sun Qun , Shi Lei , Sun Jixu , Li Guangxiao , Xing Liying , Liu Shuang
Published: September 2022

Objectives

Little is known about the prevalence and impact of isolated diastolic hypertension (IDH) in northeast China. We aimed to investigate the current epidemiology of IDH and to illustrate whether IDH accounted for cardiovascular disease (CVD) mortality.

Design

A prospective cohort study.

Setting

A population-based study carried out in northeast China.

Participants

We built a community-based study of 18 796 residents aged ≥40 years who were living in northeast China with blood pressure measurements between September 2017 and March 2019.

Outcome measures

Information on CVD death was obtained from baseline until 31 July 2021. IDH was defined as a diastolic blood pressure ≥90 mm Hg together with systolic blood pressure <140 mm Hg among hypertensive population.

Results

The overall prevalence of IDH was 3.9%, which decreased significantly with advancing age (p<0.001) and ranged from 7.2% (95% CI: 6.3% to 8.2%) among participants 40–49 years to 1.5% (95% CI: 1.1% to 2.0%) among participants ≥70 years. Moreover, the IDH prevalence was higher in men than in women (5.2% vs 3.1%, p<0.001). The awareness and treatment rates of IDH were 25.7% and 17.7%, respectively, which were significantly lower than those of patients with non-IDH (50.1% and 21.7%, p=0.009, respectively). During a median follow-up of 3.2 years, 314 subjects died due to CVD (rate 4.84/1000 person-years). IDH and non-IDH were both significantly associated with an increased risk of CVD death (HR: 2.55, 95% CI: 1.35 to 4.82; HR: 2.48, 95% CI: 1.81 to 3.38) when compared with participants with non-hypertension.

Conclusions

IDH was mainly prevalent among young and middle-aged populations, and the awareness and treatment rates in IDH were lower than those in non-IDH hypertension. Additionally, IDH and non-IDH were significantly related to an increased risk of CVD mortality. Early management of IDH is urgently required in northeast China.
COVID-19 vaccine acceptance and hesitancy among the general population of Pakistan: a population-based survey
Authors: Soomar Salman Muhammad , Soomar Sarmad Muhammad , Khan Maria , Moin Ghazal , Azam Iqbal
Published: September 2022

This article has been retracted.
Parents’ perspective on COVID-19 vaccine in children 6 months through 4 years: a cross-sectional study from Northwest Wisconsin
Authors: Mangat Chetna , Rich Jennifer , Sanghavi Devang , Schmidt Rebecca , Milosavljevic Natasa , Linh Tran , Bansal Pankaj
Published: September 2022

Vaccination is critical to control the ongoing COVID-19 pandemic, but despite the availability of safe and effective vaccine in children over 5 years, vaccination rates remain low. There is paucity of data about vaccine acceptance and factors influencing parents’ hesitancy about the COVID-19 vaccine for young children.

Aims and objectives

To estimate vaccine acceptance by parents of children 6 months through 4 years, and to evaluate the factors influencing vaccine hesitancy.

Methods

Electronic survey was sent to parents of children 6 months through 4 years through an online portal account at Mayo Clinic Health System, Northwest-Wisconsin. Data were captured via Research Electronic Data Capture secured data collection software. Bivariate and multivariate regression was used to determine most pertinent factors influencing parents’ decisions against the outcome, ‘Intent to Vaccinate’.

Results

39.7% of the parents were ‘very likely’ or ‘somewhat likely’ to vaccinate their children once the vaccine became available, while 49.8% were not likely or highly unlikely to vaccinate. Routine childhood vaccination, receiving seasonal influenza vaccine, parents' perception of COVID-19 severity in children and safety and effectiveness of the vaccine were all associated with more vaccine acceptance. 71.4% of parents who will likely not vaccinate their children indicated that they are unlikely to change their decision. The need for more research on the vaccine and more information from the PCP office were the most common reasons behind the vaccine decision-making.

Conclusions

Vaccine hesitancy remains a major issue regarding uptake of the upcoming COVID-19 vaccine. Strong and clear evidence-based recommendations from primary care provider and more information from trusted websites such as Centers for Disease Control and Prevention can decrease vaccine hesitancy in parents. Further research targeted at understanding beliefs and perspectives of parents from different demographics can assist policy-makers in implementing measures to improve vaccination rates in children and tailor our dialogue to match the needs of our patients and families.
Overcoming 1 part in $$10^9$$ of earth angular rotation rate measurement with the G Wettzell data
Authors: Di Virgilio A. D. V. , Terreni G. , Basti A. , Beverini N. , Carelli G. , Ciampini D. , Fuso F. , Maccioni E. , Marsili P. , Kodet J. , Schreiber K. U.
Published: September 2022

The absolute measurement of the Earth angular rotation rate with ground-based instruments becomes challenging if the 1 part in $$10^9$$

10
9

of precision has to be obtained. This threshold is important for fundamental physics and for geodesy, to investigate effects of General Relativity and Lorentz violation in the gravity sector and to provide the fast variation of the Earth rotation rate. High sensitivity Ring Laser Gyroscopes (RLG) are currently the only promising technique to achieve this task in the near future, but their precision has been so far limited by systematics related to the laser operation. In this paper we analyze two different sets of observations, each of them three days long. They were obtained from the G ring laser at the Geodetic Observatory Wettzell. The applied method has been developed for the GINGERINO ring laser in order to identify and extract the laser systematics. For the available data sets the residuals show mostly white noise behavior and the Allan deviation drops below 1 part in $$10^9$$

10
9

after an integration time of about $$10^4$$

10
4

 s.
Electronic Circuit Implementations of a Fractional-Order Chaotic System and Observing the Escape from Chaos
Authors: Akgul Akif , Adiyaman Yusuf , Gokyildirim Abdullah , Aricioglu Burak , Pala Muhammed Ali , Cimen Murat Erhan
Published: September 2022

Studies on fractional-order chaotic systems have increased significantly in the last decade. This paper presents Rucklidge chaotic system’s dynamical analyses and its fractional-order circuit implementations. Component values required for realizing the circuit of the fractional-order system are calculated for different fractional-orders. The feasibility of the attractor is examined by implementing its electronic circuit with a fractional-order module. The module is constructed based on the Diyi-Chen model since it is easier to implement and cost-effective. In electronic circuit implementations, it is observed that the system’s chaotic state disappears as the fractional degree decreases. Numerical and circuit simulation results are consistent well with the hardware experimental results.
Multiomics Integrative Analysis Identifying EPC1 as a Prognostic Biomarker in Head and Neck Squamous Cell Carcinoma
Authors: Dai Yongmei , Chen Wenhan , Huang Junpeng , Zheng Lijing , Lin Qing , Cui Tongjian , Huang Chen
Published: September 2022

Background. Biomarker research in head and neck squamous cell carcinoma (HNSCC) is constantly revealing promising findings. An enhancer of polycomb homolog 1 (EPC1) was found to play a procancer role in nasopharyngeal carcinoma (NPC), but its role in HNSCC with strong heterogeneity is still unclear. Herein, we investigated the prognostic significance and related mechanisms of EPC1 in HNSCC. Methods. The Kaplan‐Meier plotter was used to evaluate the prognostic significance of EPC1. Based on a range of published public databases, the multiomics expression of EPC1 in HNSCC was explored to investigate the mechanisms affecting prognosis. Results. According to the clinical data, high EPC1 expression in HNSCC was a predictor of patient prognosis (hazard ratio (HR) = 0.64; 95% confidence interval (CI) 0.49‐0.83; P < 0.01). EPC1 expression varied among clinical subtypes and was related to key factors, such as TP53 and human papillomavirus (HPV) (P < 0.05). At the genetic level, EPC1 expression level may be associated with protein phosphorylation, cell adhesion, cancer‐related pathways, etc. For the noncoding region, a competing endogenous RNA network was constructed, and 6 microRNAs and 12 long noncoding RNAs were identified. At the protein level, a protein‐protein interaction (PPI) network related to EPC1 expression was constructed and found to be involved in HPV infection, endocrine resistance, and multiple cancer pathways. At the immune level, EPC1 expression was correlated with a variety of immune cells and immune molecules, which together constituted the immune microenvironments of tumors. Conclusion. High EPC1 expression may predict a better prognosis in HNSCC, as it is more frequently found in HNSCC with HPV infection. EPC1 may participate in the genomics, transcriptomics, proteomics, and immunomics of HNSCC, and the results can provide a reference for the development of targeted drugs and evaluation of patient prognosis.
Spatial Econometric Study on the Impact of Industrial Upgrading on Green Total Factor Productivity
Authors: Ma Tao , Cao Xiaoxi
Published: September 2022

Under the background of high-quality development led by the new development concept in China, it is imperative to change the development mode, optimize the economic structure, and transform the driving force, and industrial upgrading is the necessary way to promote the optimization of the industrial structure and achieve high-quality economic development. Based on data covering 284 prefecture-level cities in China, this paper first calculates the green total factor productivity (GTFP) of each prefecture-level city and then constructs three spatial econometric models (SLM, SEM, and SDM) based on four spatial weight matrices to empirically analyze the impact of industrial upgrading on GTFP. The results show that the GTFP of all cities in China shows a fluctuating upward trend and significant spatial spillover effect. Both full-sample and regional heterogeneity tests show that industrial upgrading can promote growth in GTFP, but the promoting effect on different regions is different. Regarding the control variables, GTFP has an inverted U-shaped relationship with economic development; additionally, human capital and financial development play a driving role in GTFP, while population density plays a restraining role. Finally, based on the empirical findings, we propose a multipronged policy of differentiated industrial policy and a variety of complementary measures to promote GTFP growth.
Evaluation Method of Writing Fluency Based on Machine Learning Method
Authors: Gao Sheng
Published: September 2022

In light of society's rapid advancement, more and more people worldwide are placing importance on education. There are several domains in China where the importance of writing exceeds the importance of reading, listening, or speaking. It has been shown that many Chinese students commit grammar problems if they are writing an article. Several researchers attempted to determine students' writing talents in terms of amount and complexity, on the one side, and then also focused on identifying conclusions on the accuracy, the organization of ideas, and the barriers to fluent writing via qualitative data gathering approaches. This research uses a machine learning technique to measure students' writing fluency. Writing fluency capabilities can be predicted using a novel adaptive generative adversarial network-based deep support vector machine (AGAN-DSVM) technique. The trace-oriented approach can be used to examine the features like accuracy, syntactic complexity, and organization of ideas aspects. The prediction rate of lexical complexity and sentence complexity of our proposed method achieves 90 and 95%, respectively. Plots created with origin's graphing tool display the results of a comparison between the proposed approach and several other ways already in use. The proposed method is evaluated and compared using several different metrics, including the accuracy dimension, syntactic complexity dimension, organization of ideas dimension, distributions of the mistakes in the text, lexical complexity, sentence complexity, essay particularities, and comparison of accuracy, F1 score, and syntactic complexity.
Tchaikovsky Music Recommendation Algorithm Based on Deep Learning
Authors: Linlin Peng
Published: September 2022

In recent years, digital music is becoming more and more popular as mobile Internet and streaming media technology advance. Traditional music indexing technology mainly uses keywords to query. To find their favorite music, people must search through the vast amount of music available on the Internet nowadays, much like hunting for a needle in a haystack. In the era of mobile Internet, people’s pace of life is very fast. Devices can access the network anytime and anywhere. Users have the habit of listening to music in their daily work, study, or sports. Facing the vast music library, personalized music recommendation can help users quickly and accurately find music tracks that meet their interests, which is also the focus of current music recommendation technology. According to the characteristics of Tchaikovsky music, in this paper, we establish and build an approach that can understand situations and recommend by using the additional information of labels to describe Tchaikovsky music and realize a structure on this foundation. Through user involvement, the system can deliver services akin to network radio and complete the evaluation of the Tchaikovsky music recommendation algorithm’s efficacy.
The Portosystemic Shunt for the Control of Variceal Bleeding in Cirrhotic Patients: Past and Present
Authors: Radu Petre , Prunoiu Virgiliu-Mihail , Strâmbu Victor , Garofil Dragos , Doncu Roxana Elena , Brătucu Eugen , Simion Laurentiu , Răvaş Maria-Manuela , Brătucu Mircea Nicolae
Published: September 2022

Based on an experience of more than 50 years in the treatment of portal hypertension (PHT), the authors review and analyze the evolution of the surgical portocaval shunt (PCS). We would like to provide an insight into the past of PCS, in order to compare it with the current state of the treatment of PHT complications. As a landmark of the past, we shall present statistics of more than 500 cases of PHT operated between 1968 and 1983. From this group, 238 patients underwent surgical portocaval shunting during a fifteen-year period. The behavior of the portal hemodynamics following PCS was studied and the postoperative decrease in portal pressure (PP), as well as the residual PP, were recorded. The portal manometric determinations were made by electronic recordings using the Hellige device and direct intraoperative recordings through the catheterization of a ramus in the portal area. The results of PCS are superposable, in terms of hemodynamic efficiency, with those of the intrahepatic shunt (TIPS—transjugular intrahepatic portosystemic shunt). The authors discuss the current place of PCS, in obvious decline in comparison with the situation 50 years ago. The current methods of controlling variceal bleeding represent obvious progress. PCS remains with very limited indications, in specific situations when the other therapeutic methods have failed or are not recommended.
Classification of Ultrasound Images with Convolutional Neural Networks in High-Performance Using IoT
Authors: Alhazmi Lamia
Published: September 2022

This paper contains the specification of functional and nonfunctional requirements of a CNN (Convolutional Neural Network) model to identify masses in liver ultrasounds. A neural network model based on CNN was implemented, which performs the analysis of ultrasound images of the liver, identifying the presence of masses or not in them. CNN can be executed either on a machine with a CPU (Central Processing Unit) or in a high processing capacity environment that uses GPU (Graphics Processing Unit). The validation of the accuracy of the obtained results happens through the statistical technique of k-fold cross-validation using IoT. During the neural network training process, dense data necessitates a lot of computational resources. Because the number of network entries is precisely proportional to the number of pixels in the image, parallel processing for image processing is justified. It is important to remember that medical photos cannot be saved in a lossy format and must be identified with exceptional accuracy using IoT.
A Mathematical Model Analysis for the Transmission Dynamics of Leptospirosis Disease in Human and Rodent Populations
Authors: Engida Habtamu Ayalew , Theuri David Mwangi , Gathungu Duncan , Gachohi John , Alemneh Haileyesus Tessema
Published: September 2022

This work is aimed at formulating and analyzing a compartmental mathematical model to investigate the impact of rodent-born leptospirosis on the human population by considering a load of pathogenic agents of the disease in an environment and the incidence rate of human infection due to the interaction between infected rodents and the environment. Firstly, the basic properties of the model, the equilibria points, and their stability analysis are studied. We also found the basic reproduction number

R

0

of the model using the next-generation matrix approach. From the stability analysis, we obtained that the disease-free equilibrium (DFE) is globally asymptotically stable if

R

0

<
1

and unstable otherwise. The local stability of endemic equilibrium is performed using the phenomenon of the center manifold theory, and the model exhibits forward bifurcation. The most sensitive parameters on the model outcome are also identified using the normalized forward sensitivity index. Finally, numerical simulations of the model are performed to show the stability behavior of endemic equilibrium and the varying effect of the human transmission rates, human recovery rate, and the mortality rate rodents on the model dynamics. The model is simulated using the forward fourth-order Runge-Kutta method, and the results are presented graphically. From graphical stability analysis, we observed that all trajectories of the model solutions evolve towards the unique endemic equilibrium over time when

R

0

>
1

. Our numerical results revealed that decreasing the transmission rates and increasing the rate of recovery and reduction of the rodent population using appropriate intervention mechanisms have a significant role in reducing the spread of disease infection in the population.
A Random Matrix Network Model for the Network Teaching System of College Music Education Courses
Authors: He Xin
Published: September 2022

How to improve the teaching management model has always been an important part of the research and exploration of university music teaching management. Based on the random matrix network theory, this paper builds a random matrix network model and uses the random matrix network of Internet/Intranet to realize the electronic and networked multimedia information management, which makes the data query more flexible and convenient. In the random matrix network environment, the security of the model network is greatly improved, which solves the expansion problem of the random matrix network. During the simulation process, the model integrates the relevant image, audio, video, animation, and other multimedia processing technologies and storage technologies. The system adopts object-oriented analysis and design ideas to analyze the requirements, adopts the random matrix network architecture, and uses tomcat as the server, and the SQL Server database launched by Microsoft is used as the back-end data support, and the Struts architecture is designed by using the MVC development mode to ensure the system has good maintainability and enhanced data processing capabilities. The experimental results show that the response time of the system login verification is less than 2 seconds, the response time of adding users is less than 2 seconds, the response time of downloading assignments is less than 2 seconds, the response time of uploading courseware is less than 3 seconds, and the response time of checking the results is less than 2 seconds. The separation of technology effectively improves the scalability and maintainability of the system.
A Meta-Analysis of Randomized Clinical Trials of Runzao Zhiyang Capsule in Chronic Urticaria
Authors: Ye Shengzhen , Zhang Xueer , Ling Guihua , Xiao Xianjun , Huang Dan , Chen Mingling
Published: September 2022

Chinese herbal medicine has many advantages in the treatment of chronic urticaria (CU). Herein, we evaluated the efficacy and safety of the Runzao Zhiyang (RZZY, Chinese patent herbal medicine capsule) capsule for CU through a meta-analysis of randomized clinical trials (RCTs). This meta-analysis included 17 RCTs involving 1,760 patients. RZZY capsule combined with conventional drugs showed a better clinical total effective rate (risk ratio (RR) = 1.20, 95% confidence interval (CI) (1.15, 1.24),

P
<
0.00001

), significantly reduced the adverse reaction rate [RR = 0.68, 95% CI (0.50, 0.92),

P
=
0.01

] and recurrence rate [RR = 0.29, 95% CI (0.18, 0.46),

P
<
0.00001

], and improved the life quality of patients (mean difference (MD) = −2.95, 95% CI (−4.32, −1.57),

P
=
0.0001

). Meanwhile, the serum Interleukin-4 (IL-4) (MD = −13.83, 95% CI (−23.45, −4.20),

P
=
0.005

) and immunoglobulin E (IgE) (MD = −22.99, 95% CI (−31.48, −14.50),

P
<
0.00001

) of patients in the intervention group decreased more significantly. In all, the RZZY capsule has potential therapeutic advantages and is relatively safe for CU. However, we are cautious about the conclusion, which needs to be further confirmed by more large samples, multicenter, and high-quality research in the later stage.
PTF‐SimCM: A Simple Contrastive Model with Polysemous Text Fusion for Visual Similarity Metric
Authors: Yuan Xinpan , Mao Xinxin , Xia Wei , Zhang Zhiqi , Xie Shaojun , Zhang Chengyuan
Published: September 2022

Image similarity metric, also known as metric learning (ML) in computer vision, is a significant step in various advanced image tasks. Nevertheless, existing well‐performing approaches for image similarity measurement only focus on the image itself without utilizing the information of other modalities, while pictures always appear with the described text. Furthermore, those methods need human supervision, yet most images are unlabeled in the real world. Considering the above problems comprehensively, we present a novel visual similarity metric model named PTF‐SimCM. It adopts a self‐supervised contrastive structure like SimSiam and incorporates a multimodal fusion module to utilize textual modality correlated to the image. We apply a cross‐modal model for text modality rather than a standard unimodal text encoder to improve late fusion productivity. In addition, the proposed model employs Sentence PIE‐Net to solve the issue caused by polysemous sentences. For simplicity and efficiency, our model learns a specific embedding space where distances directly correspond to the similarity. Experimental results on MSCOCO, Flickr 30k, and Pascal Sentence datasets show that our model overall outperforms all the compared methods in this work, which illustrates that the model can effectively address the issues faced and enhance the performances on unsupervised visual similarity measuring relatively.
Evaluating the Smoothness of the Washed Fabric after Laundry with the Washing Machine Based on a New Type‐2 Fuzzy Neural Network
Authors: Hesarian Mir Saeid , Tavoosi Jafar
Published: September 2022

Clothes laundering are necessary during their cycle life, and the mechanical forces exposed to fabrics during laundering were caused to wrinkle. Therefore, in this paper, the wrinkle of the cotton fabric after home laundering was evaluated based on their characteristic. The washing process was done without any softener as toxic material. For this purpose, experimental and theoretical evaluations were conducted. In experiments, the cotton fabrics in various characteristics were washed by washing machine without any softener in special adjustments. The wrinkle of the samples was rated based on the light line method. Theoretical evaluations were studied by the development of a new type‐2 fuzzy neural network. In this model the thickness, weight, warp and weft density per inch, warp and weft Tex as linear density, and cover factor of the fabric in warp and weft directions were considered as input parameters and the wrinkle grade of the washed fabric was output. Analysis of the modeling and experimental results illustrates that when eight mentioned parameters were selected as inputs, the mean square error, root mean square error, and mean absolute error of the model were decreased in comparison of the models with two, four, and six inputs. According to this fact, all of the input parameters have an effect on the wrinkle of the cotton fabric after the washing process.
The Role and Applications of Aerogels in Textiles
Authors: Azam Farooq , Ahmad Faheem , Ulker Zeynep , Zafar Muhammad Sohail , Ahmad Sheraz , Rasheed Abher , Nawab Yasir , Erkey Can
Published: September 2022

Textiles have been used for clothing purposes since ancient times. However, due to their functional properties, their importance—as well as their use in various fields such as filtration, protective clothing, and medical applications—increased over time. Properties of the textile fabrics depend mostly on the fiber type, fabrication technique, and structure. Moreover, fabric porosity is one of the properties that provide comfort, increased thermal insulation, and filtration capability to the end products. The porous structure of woven, knitted, and nonwoven fabrics has been used for many years to get the desired porosity. Usually, macroporous structures are achieved using these types of textiles. Electrospinning is used to produce nanoporous textile fibrous web, but its poor mechanical properties and low production rate limit its use. Aerogels are solid materials with ultrahigh porosity at the nanoscale with low density and good thermal insulation properties, due to which they are considered potential insulation materials today. On the other hand, pure aerogels are sometimes brittle and have poor mechanical properties. Thus, they cannot be directly used in various applications. Consequently, textile reinforced aerogel composites have been developed, which could provide flexibility and strength to aerogels and impart nanoporous structure to textiles. This review summarizes conventional techniques to produce the porous structure in textiles followed by the modern techniques to develop a nanoporous structure. Further, different mechanisms to synthesize textile reinforced aerogel composites are discussed to get a nanoporous structure for filtration and thermal insulation applications. The porosity, mechanical properties, and thermal insulation of textile reinforced aerogel composites are also highlighted. In the end, we give a conclusion that not only summarizes the literature, but also includes recommendations for the researchers.
Improving Spectrum Sensing for Cognitive Radio Network Using the Energy Detection with Entropy Method
Authors: Usman Mustefa Badri , Singh Ram Sewak , Mishra Satyasis , Rathee Davinder Singh
Published: September 2022

Spectrum is one of the world’s most highly regulated and limited natural resources. Cognitive Radio (CR) is a cutting-edge technology that aims to solve the future spectrum shortage issue in wireless communication systems. CR is one of the most widely used methods for maximizing the use of the wireless spectrum. Spectrum sensing is a critical step in discovering spectrum gaps in CR. Matching filter detection, energy detection (ED), cyclostationary detection, correlation coefficient detection, and wavelet detection are some of the frequency band sensing techniques. ED has received the most attention from many researchers because of its convenience and low computation complexity. However, noise instability, or the random and unavoidable variation of noise that exists in any communication link, greatly decreases the output of ED, especially whenever the signal-to-noise ratio (SNR) is poor. As a result, this research provides an exciting spectrum sensing option known as the energy detection with entropy method technique. In contrast to conventional ED, the proposed energy detection with entropy method offers better sensing performance in low SNR circumstances. According to simulation results, the proposed method has a significant performance improvement of about 18.58% when compared to CED at a given SNR of −18 dB.
Prediction Algorithm of Wind Waterlogging Disaster in Distribution Network Based on Multi-Source Data Fusion
Authors: Li Shan , Lu Linjun , Hu Weijun , Tang Jie , Qin Liwen
Published: September 2022

It is very important for power grid development research and related technical improvement to obtain the disaster situation of fine-scale distribution network, such as the transportation condition evaluation of distribution network and the wind waterlogging disaster prediction of distribution network. Among them, the wind waterlogging disaster prediction of distribution network is the main one, and the prediction of its disaster degree often determines whether the distribution network can be prevented before and rescued after the disaster. Therefore, in view of the above problems, combined with the actual transmission situation of the distribution network, after collecting the measured disaster data of the distribution network in relevant areas, combined with the multi-source data fusion technology and neural network modeling technology, this paper analyzes the disaster degree indicators of different distribution networks and constructs the relevant fuzzy matrix through the fuzzy theory to evaluate the disaster degree, which is verified by the measured data. This distribution network disaster loss prediction model can effectively implement the disaster loss prediction of distribution network and compare its prediction results with the other two different common models. The comparison results show that the prediction accuracy of the multi-source data fusion prediction model constructed in this paper is more than 0.95 compared with the other two models, while the prediction accuracy of the other two models is not more than 0.9, which proves that the model constructed in this paper has smaller errors. It has the advantages of higher accuracy and faster convergence speed.
Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention
Authors: S Kavi Priya , K Pon Karthika , Kaliappan Jayakumar , Selvaraj Senthil Kumaran , R Nagalakshmi , Molla Baye
Published: September 2022

Automatic image caption generation is an intricate task of describing an image in natural language by gaining insights present in an image. Featuring facial expressions in the conventional image captioning system brings out new prospects to generate pertinent descriptions, revealing the emotional aspects of the image. The proposed work encapsulates the facial emotional features to produce more expressive captions similar to human-annotated ones with the help of Cross Stage Partial Dense Network (CSPDenseNet) and Self-attentive Bidirectional Long Short-Term Memory (BiLSTM) network. The encoding unit captures the facial expressions and dense image features using a Facial Expression Recognition (FER) model and CSPDense neural network, respectively. Further, the word embedding vectors of the ground truth image captions are created and learned using the Word2Vec embedding technique. Then, the extracted image feature vectors and word vectors are fused to form an encoding vector representing the rich image content. The decoding unit employs a self-attention mechanism encompassed with BiLSTM to create more descriptive and relevant captions in natural language. The Flickr11k dataset, a subset of the Flickr30k dataset is used to train, test, and evaluate the present model based on five benchmark image captioning metrics. They are BiLingual Evaluation Understudy (BLEU), Metric for Evaluation of Translation with Explicit Ordering (METEOR), Recall-Oriented Understudy for Gisting Evaluation (ROGUE), Consensus-based Image Description Evaluation (CIDEr), and Semantic Propositional Image Caption Evaluation (SPICE). The experimental analysis indicates that the proposed model enhances the quality of captions with 0.6012(BLEU-1), 0.3992(BLEU-2), 0.2703(BLEU-3), 0.1921(BLEU-4), 0.1932(METEOR), 0.2617(CIDEr), 0.4793(ROUGE-L), and 0.1260(SPICE) scores, respectively, using additive emotional characteristics and behavioral components of the objects present in the image.
ADAM-10 Regulates MMP-12 during Lipopolysaccharide-Induced Inflammatory Response in Macrophages
Authors: Jiang Yan , Gong Qiming , Huang Jinmei , Gong Yuanxun , Tang Qiang , Wei Dalong , Tang Qianli , Zhao Jingjie , Song Jian , Meng Lingzhang
Published: September 2022

A disintegrin and metalloprotease 10 (ADAM-10), a member of the ADAM protease family, has biological activities related to TNF-α activation, cell adhesion, and migration, among other functions. Macrophages are important immune cells that are involved in the inflammatory response of the body. ADAM-10 is involved in inflammatory responses, but the specific regulatory mechanisms are not fully understood. In this study, we investigated the regulatory mechanism of ADAM-10 in the lipopolysaccharide-promoted proliferation (LPS) of the macrophage inflammatory response. Differentially expressed or regulated proteins were identified in interfered ADAM-10 (sh ADAM-10) macrophages using tandem mass tag (TMT) proteomics. The changes and regulatory role of ADAM-10 during LPS-induced inflammatory response in normal, interfering, and overexpressing ADAM-10 (EX ADAM-10) cells were determined. Results indicated that ADAM-10 interference affected inflammation-related pathways and reduced matrix metalloproteinase 12 (MMP-12) protein levels, as identified by TMT proteomics. In normal cells, LPS decreased ADAM-10 gene expression, but promoted ADAM-10 secretion, MMP-12 and TNF-α gene expression, and MMP-12, iNOS, IL-10, and cyclinD1 protein expression. Additionally, ADAM-10 knockdown decreased macrophage viability in sh-ADAM-10 cells. Moreover, an MMP-12 inhibitor had no impact on the viability effect of LPS on cells or the expression of ADAM-10. iNOS expression decreased, whereas IL-10 expression increased after ADAM-10 depletion. ADAM-10 knockdown decreased MMP-12, iNOS, TNF-α, IL-1β, and FKN, while overexpression had an opposite effect. ADAM-10 overexpression further increased MMP-12, iNOS, and TNF-α gene expression in response to LPS. Cell viability was increased in EX ADAM-10 cells, and ADAM-10 secretion was further increased in the EX and LPS groups. Flow cytometry and immunofluorescence staining revealed that EX-ADAM 10 cells had increased iNOS expression, which acted as an IL-6 expression driver. In summary, we found that ADAM-10 is activated by LPS and positively participates in LPS-stimulated macrophage inflammatory responses by positively regulating MMP-12 during the inflammatory process.
MIR548P and TRAV39 Are Potential Indicators of Tumor Microenvironment and Novel Prognostic Biomarkers of Esophageal Squamous Cell Carcinoma
Authors: Xu Jian , Tang Long , Wang Zhiqiang , Zhang Qi , Jiang Yuequan
Published: September 2022

Esophageal squamous cell carcinoma (ESCC) remains a common aggressive malignancy in the world. Multiple studies have shown evidence to support the hypothesis that certain functional genes that are engaged in the microenvironment of tumors played a role in the progression of ESCC. Thus, to better analyze the prognostic values of important genes in ESCC, there is an immediate need for an in-depth research study. From the TCGA database, the RNA-seq data and clinical features of 163 ESCC patients were obtained. Using the ESTIMATE technique, we were able to calculate the ImmuneScore, the StromalScore, and the ESTIMATEScore for each ESCC sample. The samples from the ESCC were split up into high score and low score groups based on the median of the various scores. In this study, ImmuneScore, StromalScore, and ESTIMATEScore were not found to be linked with overall survival of ESCC patients, according to our findings. Higher StromalScores were linked to more advanced T stages and clinical stages. The intersection analysis that was exhibited by the use of a Venn diagram indicated that there was a total of 944 upregulated genes that shared the same high score in both the ImmuneScore and the StromalScore and that there was 0 downregulated gene that shared the same low score. Survival experiments confirmed MIR548P and TRAV39 as critical prognostic biomarkers for ESCC patients. Importantly, we found that TRAV39 expression was positively associated with T cell CD4 memory activated while negatively associated with B cell memory, dendritic cells activated, and mast cells activated. In addition, we found that MIR548P expression was negatively associated with mast cells activated while positively associated with T cell CD4 memory activated. Overall, we identified MIR548P and TRAV39 as new modulators for ESCC, affecting the immune microenvironment of ESCC patients and may be a target of immunotherapy.