bluuebunny/crossref_metadata_2025 huggingface dataset:
Concordance of SARS-CoV-2 Antibody Results during a Period of Low Prevalence
Authors: Miller Cheryl N. , Althoff Keri N. , Schlueter David J. , Anton-Culver Hoda , Chen Qingxia , Garbett Shawn , Ratsimbazafy Francis , Thomsen Isaac , Karlson Elizabeth W. , Cicek Mine , Pinto Ligia A. , Malin Bradley A. , Ohno-Machado Lucila , Williams Carolyn , Goldstein David , Kouame Aymone , Ramirez Andrea , Gebo Kelly A. , Schully Sheri D.
Published: September 2022

What is the agreement of commercial SARS-CoV-2 immunoglobulin G (IgG) assays during a time of low coronavirus disease 2019 (COVID-19) prevalence and no vaccine availability? Serological tests produced concordant results in a time of low SARS-CoV-2 prevalence and no vaccine availability, driven largely by the proportion of samples that were negative by two immunoassays. The CDC recommends two sequential tests for positivity for future pandemic preparedness.
Differentiation of Classical Swine Fever Virus Virulent and Vaccine Strains by CRISPR/Cas13a
Authors: Zhang Yuhang , Li Qingmei , Wang Ruining , Wang Li , Wang Xun , Luo Jun , Xing Guangxu , Zheng Guanmin , Wan Bo , Guo Junqing , Zhang Gaiping
Published: September 2022

Classical swine fever (CSF) is a World Organisation for Animal Health (formerly the Office International des Epizooties [OIE]) notifiable terrestrial and aquatic animal disease, causing great economic losses to the swine industry worldwide during the past decades. Due to the use of the most effective and safe attenuated live vaccine for CSF prevention, differentiation of infected and vaccinated pigs is vital work, as well as a bottleneck for eradication of CSF.
TAVR in the tricuspid domain: valve-in-valve transcatheter tricuspid valve replacement for bioprosthetic valve degeneration
Authors: Budweg Jeffery , Joseph Ryan , Perry Christopher , Shah Khanjan , Choi Calvin , Jeng Eric
Published: September 2022

We report a novel use of transcatheter aortic valve replacement (TAVR) for valve-in-valve tricuspid valve replacement. A man in his 50s with prohibitive risks for surgical intervention underwent this procedure to improve severe, symptomatic tricuspid stenosis. Though current literature is limited to case reports, the Valve-in-Valve International Database (VIVID) reports similar mortality rates between surgical and transcutaneous replacement. As a novel, off-label procedure, there is limited operator experience. Nonetheless, in non-operative or high-risk patients, similar outcomes are noted in between transcatheter tricuspid valve replacement and surgical replacement. This registry sets the framework for further studies with the possibility of observing outcomes as operator experience increases, while highlighting the feasibility of the procedure.
Prevalence and risks of tuberculosis multimorbidity in low-income and middle-income countries: a meta-review
Authors: Jarde Alexander , Romano Eugenia , Afaq Saima , Elsony Asma , Lin Yan , Huque Rumana , Elsey Helen , Siddiqi Kamran , Stubbs B , Siddiqi Najma
Published: September 2022

Objectives

Co-occurrence of tuberculosis (TB) with other chronic conditions (TB multimorbidity) increases complexity of management and adversely affects health outcomes. We aimed to map the prevalence of the co-occurrence of one or more chronic conditions in people with TB and associated health risks by systematically reviewing previously published systematic reviews.

Design

Systematic review of systematic reviews (meta-review).

Setting

Low-income and middle-income countries (LMICs).

Papers

We searched in Medline, Embase, PsycINFO, Social Sciences Citation Index, Science Citation Index, Emerging Sources Citation Index and Conference Proceedings Citation Index, and the WHO Global Index Medicus from inception to 23 October 2020, contacted authors and reviewed reference lists. Pairs of independent reviewers screened titles, abstracts and full texts, extracted data and assessed the included reviews’ quality (AMSTAR2). We included systematic reviews reporting data for people in LMICs with TB multimorbidity and synthesised them narratively. We excluded reviews focused on children or specific subgroups (eg, incarcerated people).

Primary and secondary outcome measures

Prevalence or risk of TB multimorbidity (primary); any measure of burden of disease (secondary).

Results

From the 7557 search results, 54 were included, representing >6 296 000 people with TB. We found that the most prevalent conditions in people with TB were depression (45.19%, 95% CI: 38.04% to 52.55%, 25 studies, 4903 participants, I2=96.28%, high quality), HIV (31.81%, 95% CI: 27.83% to 36.07%, 68 studies, 62 696 participants, I2=98%, high quality) and diabetes mellitus (17.7%, 95% CI: 15.1% to 20.0.5%, 48 studies, 48,036 participants, I2=98.3%, critically low quality).

Conclusions

We identified several chronic conditions that co-occur in a significant proportion of people with TB. Although limited by varying quality and gaps in the literature, this first meta-review of TB multimorbidity highlights the magnitude of additional ill health burden due to chronic conditions on people with TB.

Prospero registration number

CRD42020209012.
Effect of deliberate practice training of graduate students in general psychotherapeutic skills compared with theoretical teaching: protocol for the randomised controlled TRIPS trial
Authors: Østergård Ole Karkov , Nielsen Jan , Hjorthøj Carsten , Nilsson Kristine Kahr , Poulsen Stig Bernt
Published: September 2022

Introduction

Psychology students at universities in Denmark and worldwide often receive relatively little clinical training, even though such training is crucial to job performance after graduation. Training common psychotherapeutic skills, such as being empathic and facilitating the therapeutic alliance, is critical since these skills are related to psychotherapy outcomes. In this study, a deliberate practice-based approach to student training will be compared with theoretical teaching. The main hypothesis is that deliberate practice training will result in a larger improvement in students’ observer-rated interpersonal skills.

Methods and analysis

The TRaining of graduate students In general Psychotherapeutic Skills study has a double-centre, randomised, assessor-blinded, two-way crossover study design. About 200 graduate students from two Danish universities will be randomised into two groups, (a) deliberate practice training of common psychotherapeutic skills using role-play and Skillsetter, an online skill-building system with therapy videos or (b) theoretical teaching. Group a will first receive the experimental condition, followed by the control condition, while group b will receive the conditions in reverse order. Each condition consists of 15 hours of classroom participation and homework. The primary outcome is facilitative interpersonal skills—observer. Secondary outcomes include the facilitative interpersonal skills—self-report, the Counselor Activity Self-Efficacy Scales and the Interpersonal Reactivity Index. Outcomes will be measured at baseline (week 0), after the first condition (week 5; before the crossover, reflecting true randomisation) and after both conditions (week 10). Main outcome analyses will be performed at week 5. Several predictors of the effect of deliberate practice will be explored.

Ethics and dissemination

Ethical approval from university ethics boards has been obtained. All participants will be asked to provide informed consent before participation. Once completed, the study can potentially transform the training of psychotherapy in graduate education, which, ultimately, may positively influence psychotherapy outcomes (IP-IRB / 03092021).

Trial registration number

NCT05164497.
Protocol for a systematic review of interventions targeting mental health, cognition or psychological well-being among individuals with long COVID
Authors: Hawke Lisa D , Brown Eric E , Rodak Terri , Rossell Susan , Ski Chantal F , Strudwick Gillian , Thompson David R , Wang Wei , Xu Dandan , Castle David
Published: September 2022

Introduction

For some people, COVID-19 infection leads to negative health impacts that can last into the medium or long term. The long-term sequelae of COVID-19 infection, or ‘long COVID’, negatively affects not only physical health, but also mental health, cognition or psychological well-being. Complex, integrated interventions are recommended for long COVID, including psychological components; however, the effectiveness of such interventions has yet to be critically evaluated. This protocol describes a systematic review to be conducted of scientific literature reporting on clinical trials of interventions to promote mental health, cognition or psychological well-being among individuals with long COVID.

Methods and analysis

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines will be followed. A health sciences librarian will identify the relevant literature through comprehensive systematic searches of Medline, Embase, APA PsycINFO, Cumulative Index to Nursing and Allied Health Literature, medRxiv, PsyArXiv, China National Knowledge Internet and WANFANG Data databases, as well as The Cochrane Central Register of Controlled Trials, clinicaltrials.gov and the WHO International Clinical Trials Registry Platform. Studies will be selected through a title and abstract review, followed by a full-text review using inclusion and exclusion criteria. Data extracted will include intervention descriptions and efficacy metrics. Data will be narratively synthesised; if the data allow, a meta-analysis will be conducted. Risk of bias assessment will be conducted using the Cochrane Risk of Bias 2.0 tool.

Ethics and dissemination

Ethical approval for systematic reviews is not required. As researchers and clinicians respond to the new clinical entity that long COVID represents, this review will synthesise a rapidly emerging evidence base describing and testing interventions to promote mental health, cognition or psychological well-being. Results will therefore be disseminated through an open-access peer-reviewed publication and conference presentations to inform research and clinical practice.

Prospero registration number

CRD42022318678
Does policy that provides choice in athletic footwear affect musculoskeletal injury risk in US Coast Guard recruits?
Authors: Fraser John J , Pommier R , MacGregor A J , Silder A , Sander T C
Published: September 2022

Introduction

Musculoskeletal injuries (MSKIs) are ubiquitous during initial entry military training, with overuse injuries the most common. A common injury mechanism is running, an activity that is integral to US Coast Guard (USCG) training and a requirement for graduation. The purpose of this study was to assess the effects of a policy that allowed for athletic footwear choice on risk of lower quarter MSKI in USCG recruits.

Methods

A retrospective cohort study was performed that included 1230 recruits (1040 men, 190 women) who trained under a policy that allowed self-selection of athletic footwear and 2951 recruits (2329 men, 622 women) who trained under a policy that mandated use of prescribed uniform athletic shoes and served as controls. Demographic data and physical performance were derived from administrative records. Injury data were abstracted from a medical tracking database. Unadjusted risk calculations and multivariable logistic regression assessing the effects of group, age, sex, height, body mass and 2.4 km run times on MSKI were performed.

Results

Ankle-foot, leg, knee and lumbopelvic-hip complex injuries were ubiquitous in both groups (experimental: 13.13 per 1000 person-weeks; control: 11.69 per 1000 person-weeks). Group was not a significant factor for any of the injuries assessed in either the unadjusted or adjusted analysis, despite widespread reports of pain (58.6%), perceived injury attribution (15.7%), perceived deleterious effect on performance (25.3%), general dissatisfaction (46.3%) and intended discontinuance of use following graduation (87.7%).

Conclusion

MSKI continues to be a major source of morbidity in the recruit training population. The policy that allowed USCG recruits to self-select athletic footwear did not decrease or increase the risk of MSKI. While regulations pertaining to footwear choice did not influence injury outcomes, there was general dissatisfaction with the prescribed uniform athletic footwear conveyed by the recruits and widespread reports of discomfort, perceived deleterious effects from wear and intended discontinued use following training completion.
Many authors of publicly available top-selling nutrition books in Canada are without clinical nutrition credentials, do not cite evidence, and promote their own services or products
Authors: Loung Chao-Yu , Sarfaraz Sidra , Carew Allie S. , MacKay Dylan , Cahill Leah E.
Published: September 2022

The accuracy of books as public nutrition resources varies substantially; whether authors of publicly available nutrition books possess related experience, cite scientific evidence, or have other financial incentives has not been assessed thoroughly. This study aimed to determine if publicly available top-selling nutrition books are written by authors who (1) have relevant expertise, (2) cite scientific evidence, and (3) benefit financially in other ways. Best-selling nutrition books were gathered from Amazon Canada. Differences in scientific citations and financial incentives were compared between authors with and without credentials. Authors who were Doctor of Medicine (MD), registered dietitians (RD), chiropractors, or naturopathic doctors had more in-text citations (56% versus 25%; p = 0.014) and cited more scientific articles (83% versus 50%; p = 0.0045) compared to all other authors. The majority of authors of publicly available top-selling nutrition books in Canada did not have MD/RD credentials. Many of the authors promoted their own services or products, regardless of credentials.
Effect of activators in different ratios on compressive strength of geopolymer concrete
Authors: Çelik Ali İhsan , Özbayrak Ahmet , Şener Ahmet , Acar Mehmet Cemal
Published: September 2022

Geopolymer concrete's workability and compressive strength were investigated by changing the ratio of alkali activators to each other (Na2SiO3/NaOH), the ratio of total solutions to fly ash, and the water content of aggregate. According to the findings, the saturated surface dry condition of the aggregate, in terms of water content in general, increases the workability and compressive strength. In addition, because of the reduction in the Na2SiO3/NaOH ratio, the concrete sets and solidifies faster, and the compressive strength and modulus of elasticity increase. Increasing the ratio of total solutions to fly ash prolongs the setting time but decreases the strength and elasticity modulus and increases the strain corresponding to the maximum stress. As a result, the strain corresponding to the maximum compressive strength of geopolymer concrete is higher, and the modulus of elasticity is lower than that of ordinary Portland cement concrete.
Overview of thermodynamical properties for Reissner–Nordström–de Sitter spacetime in induced phase space
Authors: Du Yun-Zhi , Li Huai-Fan , Zhao Ren
Published: September 2022

Since the black hole and cosmological horizons in the de Sitter (dS) spacetime with the Reissner–Nordström (RN) black hole are not independent with each other, which is caused by the gravitational effect, the interplay between two horizons should be considered. Based on this, by introducing the interactive entropy the RN–dS spacetime is analogous to a thermodynamic system with various thermodynamic quantities, in which the laws of thermodynamics still hold on. In our work, the thermodynamic properties of the RN–dS spacetime are mapped out in the induced phase space, which are similar to that in AdS black holes. The phase transition of the RN–dS spacetime between the high-potential and the low-potential black hole phases is observed. Compared with an ordinary thermodynamic system, the similar behaviors about the Joule–Thomson expansion and the critical exponents are also checked out. Finally, the scalar curvatures of two existent phases are presented to reveal the underlying microstructure and nature of phase transition in the RN–dS spacetime, which opens a new window to investigate the dS spacetime with black holes from an observational perspective.
Design of Graph Neural Network Social Recommendation Algorithm Based on Coupling Influence
Authors: Qi Wei , Yu Jiaxu , Liang Qiao , Huang Zhenzhen , Xu Zhiou , Jiang Haifeng
Published: September 2022

With the explosively growing amount of online information, recommender system becomes an important tool to help users efficiently find their desired information. In this paper, we propose a Graph Neural Network Social Recommendation Based on Coupled Influence by analyzing the social influence of 2-level friends (CI-GNNSR). First, we mine the user’s historical rating information and second-degree social information. Then, to learn the feature representation of users and movies, multiple Graph Attention Networks (GAT) are used to model the user-movie Graph and social network Graph. Our algorithm uses an attention-based memory network to learn the interest influence representation between users and their collaborative friends, which can distinguish the related factors among different users’ friends. The experiment results show that CI-GNNSR enhances the accuracy of recommendation by considering users’ social influence factors from multiple perspectives.
Hopf Bifurcation in Oncolytic Therapeutic Modeling: Viruses as Anti-Tumor Means with Viral Lytic Cycle
Authors: Najm Fatiha , Yafia Radouane , Aziz-Alaoui M. A.
Published: September 2022

In this paper, we propose a delayed mathematical model describing oncolytic virotherapy treatment of a tumour that proliferates according to the logistic growth function, incorporating viral lytic cycle. The tumour population cells are divided into uninfected and infected cell sub-populations and the virus spreading is supposed to be in a direct mode (i.e. from cell to cell). Depending on the time delay, we analyze the positivity and boundedness of solutions and the stability of tumour, infected and uninfected free equilibria (TFE, IFE, UFE) and uninfected–infected equilibrium (UIE) is established. We prove that, delay can lead to “Jeff’s phenomenon” observed in a laboratory which causes oscillations in tumour size whose phase and period change over time. With nonlinear dependence of UIE equilibrium on time delay, we develop a more general algorithm determining the stability/instability of the oscillating periodic solutions bifurcating from the UIE equilibrium. Finally, we present numerical simulations illustrating our theoretical results.
Wave Propagation Analysis of Functionally Graded Graphene-Reinforced Piezoelectric Sandwich Nanoplates via Nonlocal Strain Gradient Theory
Authors: Hu Biao , Liu Juan , Wang Yuxing , Zhang Bo , Shen Huoming
Published: September 2022

This article elaborates on the dispersion of waves in piezoelectric sandwich nanoplates resting on a viscoelastic foundation. The nanoplate comprises a functionally graded (FG) graphene-reinforced composite core layer with two piezoelectric surface layers. By combining the Halpin–Tsai model and related mixture rules, the properties of the composite material have been obtained. The Euler–Lagrange equation is obtained using the third-order shear deformation theory (TSDT) and Hamilton’s principle. Subsequently, based on the nonlocal strain gradient theory (NSGT), the equation of motion is presented. Finally, the effects of scale parameters, hygrothermal conditions, graphene distribution, and viscoelastic foundation on the propagation characteristics are numerically studied. The results reveal that the scale effect is more evident when the wave number is larger. Furthermore, critical damping increases with a rise in the wavenumber and Winkler modulus.
Deep Learning-Based Melanoma Detection with Optimized Features via Hybrid Algorithm
Authors: Sukanya S. T. , Jerine S.
Published: September 2022

Recently, there had been a massive group of people, who were being rapidly affected by melanoma. Melanoma is a form of skin cancer that develops on the skin’s surface layer. This is primarily caused due to excessive skin exposure to UV radiation and severe sunburns. Thus, the early detection of melanoma can aid us to cure it completely. This paper intends to introduce a new melanoma detection framework with four main phases viz. segmentation, feature extraction, optimal feature selection, as well as detection. Initially, the segmentation process takes place to the input skin image via Fuzzy C-Means Clustering (FCM) approach. From the segmented image [Formula: see text], some of the features such as Gray Level Run Length Matrix (GLRM), Local Vector Pattern (LVP), Local Binary Pattern (LBP), Local Directional Pattern (LDP) and Local Tetra Pattern (LTrP) are extracted. As the extracted features [Formula: see text] suffered from the issue of “curse of dimensionality”, this paper utilizes optimization to select optimal features, which makes the detection more precise. As a novelty, a new hybrid algorithm Particle-Assisted Moth Search Algorithm (PA-MSA) is introduced that hybridizes the concept of Moth Search Algorithm (MSA) and Particle Swarm Optimization (PSO), respectively. For the classification process, the optimally chosen features [Formula: see text] are fed as input, where Deep Convolution Neural Network (DCNN) is used. Finally, a performance-based comparative analysis is conducted among the proposed PA-MSA as well as the existing models with respect to various measures.
Synthetic Behavior Sequence Generation Using Generative Adversarial Networks
Authors: Akbari Fateme , Sartipi Kamran , Archer Norm
Published: September 2022

Due to the increase in life expectancy in advanced societies leading to an increase in population age, data-driven systems are receiving more attention to support the older people by monitoring their health. Intelligent sensor networks provide the ability to monitor their activities without interfering with routine life. Data collected from smart homes can be used in a variety of data-driven analyses, including behavior prediction. Due to privacy concerns and the cost and time required to collect data, synthetic data generation methods have been considered seriously by the research community. In this article, we introduce a new Generative Adversarial Network (GAN) algorithm, namely,
BehavGAN
, that applies GAN to the problem of behavior sequence generation. This is achieved by learning the features of a target dataset and utilizing a new application for GANs in the simulation of older people’s behaviors. We also propose an effective reward function for GAN back-propagation by incorporating n-gram-based similarity measures in the reinforcement mechanism. We evaluate our proposed algorithm by generating a dataset of human behavior sequences. Our results show that BehavGAN is more effective in generating behavior sequences compared to MLE, LeakGAN, and the original SeqGAN algorithms in terms of both similarity and diversity of generated data. Our proposed algorithm outperforms current state-of-the-art methods when it comes to generating behavior sequences consisting of limited-space sequence tokens.
Khmer Sentiment Lexicon Based on PU Learning and Label Propagation Algorithm
Authors: Li Chao , Yan Xin , Xu Guangyi , Deng Zhongying , Mo Yuanyuan
Published: September 2022

The sentiment lexicon is an important tool for natural language processing tasks. In addition to being able to determine the sentiment polarity of words or phrases, it can assist attribute-level, sentence-level, and text-level sentiment analysis tasks. In light of the fact that tagging data and corpora for the Khmer language are scarce, where most resources related to sentiment lexicons are for English, this paper proposes a method for constructing a sentiment lexicon for Khmer based onPositive-Unlabeled learning (PU Learning)and the label propagation algorithm. Sentiment words are first extracted from a corpus using the Spy technique of PU learning method. The main idea is to purify the set of N-class examples, train the MLP classifier, and continuously delete spy words and increase the number of P-class words in the iterative process. Following this, the sentiment polarity of the candidate words is determined. By considering the problem of determining the sentiment polarity of the candidate words as one of calculating its probability distribution, a small number of labeled sentiment words and candidate words are used to construct a graph model. The contextual information of the candidate words is used to construct a simple supplementary graph model of the set of sentiment words through word co-occurrence and triangulation, where this enhances the correlation between data items. The sentiment polarity of the candidate words is then determined through the label propagation algorithm. The results of experiments show that the proposed method can be used to construct a Khmer sentiment lexicon with a small number of labeled data and a small corpus without requiring excessive manual labeling.
Viruses in Subsurface Environments
Authors: Wirth Jennifer , Young Mark
Published: September 2022

Over the past 20 years, our knowledge of virus diversity and abundance in subsurface environments has expanded dramatically through application of quantitative metagenomic approaches. In most subsurface environments, viral diversity and abundance rival viral diversity and abundance observed in surface environments. Most of these viruses are uncharacterized in terms of their hosts and replication cycles. Analysis of accessory metabolic genes encoded by subsurface viruses indicates that they evolved to replicate within the unique features of their environments. The key question remains: What role do these viruses play in the ecology and evolution of the environments in which they replicate? Undoubtedly, as more virologists examine the role of viruses in subsurface environments, new insights will emerge.
Normally-Off p-GaN Gate AlGaN/GaN Transistor with a New Schottky Second Gate
Authors: Sriramadasu Krishna Sai , Hsin Yue-Ming
Published: September 2022

This study presents a normally-off dual-gate AlGaN/GaN high-electron-mobility transistor. The second gate is located between the p-GaN gate and the drain and is connected to the source. The optimized thickness and length of the AlGaN layer under the second gate next to the p-GaN significantly impact the maximum drain current and the off-state breakdown conditions. The reverse conduction characteristic is also improved because the freewheeling path of the reverse current is established between the second gate and the drain to prevent excessive voltage drop and conduction losses when the device is negatively biased. Compared with conventional HEMT, the proposed method shows a promising way to achieve normally-off GaN-based HEMTs with excellent forward ad reverse conduction performance.
Synthesis and Characterization of Luminescent Er3+-Doped Natural Fluorapatite
Authors: Demir Burak , Karacaoglu Erkul , Ayas Erhan
Published: September 2022

Ca10(PO4)6F2:xEr3+ (x = 0.1, 0.3 and 0.5) was synthesized using solid-state powder process (1150 °C, 1h), conventional sintering (1150 °C, 1h), and spark plasma sintering (SPS) techniques (1150 °C, 10 min, and 50 MPa). XRD analysis revealed that all samples are generally composed of fluorapatite (FAP) containing quartz as a minor phase, and the presence of Er2O3 peaks is becoming more evident as Er-doped increases. In the SEM microstructure images, non-diffused Er2O3 particles also increase with doping in powder and pellet samples. However, the PL analysis showed that the luminescence intensity did not increase proportionally with the doping content caused by the concentration quenching effect. FAP samples doped with 0.3 mol Er have higher luminescence intensity than 0.1 and 0.5 mol Er-doped samples. In addition, powder samples have the highest luminescence intensity due to increased luminescence intensity with increasing crystallite size. The characteristic 2H11/2 to 4I15/2 emission bands of Er3+ at ∼530 nm are seen in all samples. The maximum average lifetime was obtained in 125 μs in the powder sample with 0.3 mol Er. CIE color coordinates demonstrate the standard green color under

∼

275 nm excitation; eventually, these phosphors can be utilized as green phosphors for optical applications.
English Education Course Performance Management Method Based on Hierarchical Analysis
Authors: Zhang Zhongming
Published: September 2022

This paper adopts the hierarchical analysis method to conduct in-depth research and analysis on the management of English education course performance and the construction of the English education course performance evaluation index system in colleges and universities based on the hierarchical analysis method. This paper aims to establish a scientific, standardized, rigorous, and objective index system, which is in line with the orientation of “combining theory and practice” at this stage of school. It follows the development trend of the “dual-teacher” and “innovative” mode, helps students to improve their learning level and practical ability to a certain extent, and allows teachers to go out of the textbook and into the curriculum to create a multifaceted and effective teaching space framework for students in the new era. On the other hand, we should also pay attention to the correlation between the selected indicators, scientifically analyze the indicators, and try to eliminate the interaction between the indicators. This evaluation system is comprehensive and scientific, relevant to schools, inspiring to teachers, and intuitive to students, which is conducive to teachers’ innovative teaching methods, breaking the original curriculum model, enabling teachers and students to easily get out of the original curriculum “silo” circle, and allowing teachers to find the breakthrough of the curriculum with half the effort. The performance results of the school were obtained through statistical analysis and attributed through individual interviews. To build an innovation and entrepreneurship education resource integration and sharing mechanism, the information management center of the innovation and entrepreneurship education training platform was established to integrate the innovation and entrepreneurship education information resources; by creating a community of interests, a collaborative mechanism was built inside and outside the school; finally, an interoperable and linked training platform network structure was formed. Finally, based on the results of the university’s performance analysis and comparative reference to the relevant practices of universities in Taiwan, we propose countermeasures to improve the performance of the general education curriculum system.
Strategic Analysis of the Recycler considering Consumer Behavior Based on E‐Platform Recycling
Authors: Zheng Kaiwen , Cheng Hong , Edalatpanah S.A. , Wang Bin , Hao Zihan , Peng Guang
Published: September 2022

Internet + platform recycling is a new model of recycling that provides more ways to recycle WEEE. Considering consumers’ preference for channels, we construct a single‐channel reverse supply chain model (Model‐S) and two dual‐channel reverse supply chain models (Model‐DU and Model‐DD) consisting of a recycler and an e‐platform and consider the unified pricing and differentiated pricing strategies in the dual‐channel models. By solving the optimal decisions of members using game theory, we innovatively investigate the influence of channel competition and consumer behavior on e‐platform recycling and provide a theoretical basis for recyclers to develop pricing strategies in different situations. We find that it is beneficial for the recycler to build its own channel and adopt the differentiated price strategy (Model‐DD); more WEEE also can be recycled in this model. However, the e‐platform prefers Model‐S or Model‐DU, which depends on the consumers’ preference and the disposal revenue of WEEE. In addition, consumers’ preference for e‐platform is good for them but harmful for the recycler and has a negative impact on recycling quantities. These results aim to provide a theoretical basis for channel management and pricing strategies in the reverse supply chain and further enrich the managerial insights.
Achalasia as an Unusual Cause of Acute Cellular Rejection of a Transplanted Heart
Authors: Fernandes Amanda , Yan Crystal Lihong , Ruiz Phillip , Thakkar Rivera Nina
Published: September 2022

A 68-year-old female with end-stage heart failure presented to the hospital for heart transplant. She was diagnosed with achalasia 14 months prior and treated with frequent botulinum toxin injections. She underwent orthotopic heart transplant on the day of admission and was extubated a few days later. She developed intractable nausea and vomiting. Her first endomyocardial biopsy revealed moderate, approaching severe rejection. She was treated with high-dose intravenous pulse steroids. Fluoroscopy at the time of follow-up biopsy showed undigested pills in her esophagus with narrowing at the distal end and thus failure to deliver immunosuppressive therapy. This case highlights achalasia as an etiology for acute rejection and its potential management.
The Application of Diversified Blended Models in Teaching British and American Culture Based on Big Data Analysis
Authors: Fang Fang
Published: September 2022

Language is a symbol reflecting ideas and is an important medium for people to realize information transfer and communication. Culture is all the material and spiritual wealth created during the historical development of human society. Language and culture are inseparable. When we learn a language, we must also understand the cultural content it contains. Learning English requires an understanding of the culture of British and American countries, and thus teachers must necessarily teach culture in the English classroom. At present, the software and hardware of Internet technology in our country have been developed in-depth, and the total amount of big data has been in the trend of growth, and China has officially entered the era of big data. This paper takes the reform of teaching mode of British and American culture courses as the main research object and explores how to build a diversified and blended teaching mode based on the existing teaching mode and integrating various online teaching resources under the premise of various technologies in the background of “big data.” In order to accelerate the integration and optimization of such course resources, promote the development of theoretical teaching and practical teaching of such courses and improve students’ professional ability.
Forecasting Slope Displacement of the Agricultural Mountainous Area Based on the ACO-SVM Model
Authors: Chen Juan , Wei Yiliang , Ma Xiaohui
Published: September 2022

Due to the combined influence of complex engineering geological conditions and environmental factors from agricultural mountainous areas, the evolution of slope deformation is complicated and nonlinear. Support vector machine (SVM) technology could effectively solve the technical problems of small sample, high dimension, and nonlinear, so it is applied to data mining of the measured slope displacement and the prediction and analysis of the slope deformation trend. In order to avoid blindness of human choice of SVM parameters and to improve the prediction accuracy and generalization ability of the model, an ACO-SVM model is built by adopting an improved ant colony algorithm (ACO) to optimize parameters in association with the rolling forecasting method of displacement time series. The model was applied to two engineering examples. The research results showed that the ACO-SVM model was correct with high accuracy. The ACO-SVM model had higher accuracy of prediction and stronger generalization ability than optimizing SVM based on the genetic algorithm or particle swarm optimization. The forecasting results were more reasonable. It has certain engineering application values for slope deformation prediction.
Security and Privacy Threats to Federated Learning: Issues, Methods, and Challenges
Authors: Zhang Junpeng , Zhu Hui , Wang Fengwei , Zhao Jiaqi , Xu Qi , Li Hui
Published: September 2022

Federated learning (FL) has nourished a promising method for data silos, which enables multiple participants to construct a joint model collaboratively without centralizing data. The security and privacy considerations of FL are focused on ensuring the robustness of the global model and the privacy of participants’ information. However, the FL paradigm is under various security threats from the adversary aggregator and participants. Therefore, it is necessary to comprehensively identify and classify potential threats to provide a theoretical basis for FL with security guarantees. In this paper, a unique classification of attacks, which reviews state-of-the-art research on security and privacy issues for FL, is constructed from the perspective of malicious threats based on different computing parties. Specifically, we categorize attacks with respect to performed by aggregator and participant, highlighting the Deep Gradients Leakage attacks and Generative Adversarial Networks attacks. Following an overview of attack methods, we discuss the primary mitigation techniques against security risks and privacy breaches, especially the application of blockchain and Trusted Execution Environments. Finally, several promising directions for future research are discussed.
Comparison of 6-Month and Prolonged Dual Antiplatelet Therapy after Percutaneous Coronary Intervention with Biodegradable Polymer Everolimus-Eluting Stent
Authors: Yoon Yong-Hoon , Park Gyung-Min , Roh Jae-Hyung , Her Sung-Ho , Lim Seong-Hoon , Kang Tae Soo , Lee Seung Jin , Bae Jang-Whan , Choi WoongGil , Yang Yong-Mo , Kim Junghee , Choi Yu Jeong , Choi Si Wan , Lee Jae-Hwan
Published: September 2022

Background. The optimal duration of dual antiplatelet therapy (DAPT) after biodegradable-polymer (BP) everolimus-eluting stent (EES) implantation remains uncertain. Methods. This study analyzed 793 patients who underwent percutaneous coronary intervention (PCI) with BP-EES in 10 cardiovascular centers in Korea between July 2016 and January 2018. Using the prescription data at 6 months post-PCI, we divided these patients into two groups, namely, short-DAPT and prolonged-DAPT groups, which underwent DAPT for 6 and > 6 months of PCI, respectively. The primary endpoint, which included mortality, myocardial infarction, or target-vessel revascularization at 2 years, was compared by propensity score (PS) matching between the two groups. Results. Out of the 793 patients, 283 matched pairs were identified by PS matching. Out of this matched population, 405 (71.6%) patients had an acute coronary syndrome. The primary endpoint did not differ in 2 years between the short-DAPT and prolonged-DAPT groups (7.5% vs. 8.3%; hazard ratio, 0.87; 95% confidential interval, 0.47–1.60;

P
=
0.648

). Likewise, no difference was found regarding mortality, cardiac mortality, myocardial infarction, target-lesion failure, target-vessel failure, and bleeding events defined by the Bleeding Academic Research Consortium and Thrombolysis In the Myocardial Infarction classification. Meanwhile, one patient in the short-DAPT group had definite stent thrombosis at 364 days post-PCI. Subgroup analysis showed that several anatomical and procedural factors were not significantly related to DAPT duration. Most patients (77.4%) in both groups were prescribed clopidogrel at discharge. Conclusions. In real-world patients undergoing PCI with BP-EES, the ischemic and bleeding endpoints demonstrated no difference between 6-month and prolonged (>6 months) DAPT.
[Retracted] Construction of Resource Ecological Compensation Mechanism Model under Rural Leisure Sports Environment
Authors: Rao Juan , Cao Xiaofen
Published: September 2022

In order to solve the problem of resource ecological compensation, this paper proposed a model of resource ecological compensation mechanism based on a rural leisure sports environment. The model is carried out in many places in China. The survey data involves 31 provinces, 10 years, and 43 indicators, with a total of 43 × 10 × 31 = 13,330 data. The preliminary basis of mechanism construction is summarized from four aspects. Finally, make full use of modern information technology to improve the network platform of the compensation mechanism, promote the efficient allocation and comprehensive utilization of ecotourism resources, and lay a solid foundation for establishing a reasonable and perfect resource ecological compensation mechanism and ensuring the long‐term and stable operation of the mechanism. Through the experiment, it is found that the timely and effective publication of information can eliminate the inner estrangement between the two sides, so as to make the behavior of both sides more rational. A special information feedback department is established to deal with the opinions put forward by all compensation parties in tourism development, extract effective information, summarize and publish reasonable guidance information, and guide the compensation of both sides to an ideal balance through the feedback of this information. The effectiveness of the experiment is verified.
Ka-Band Single-Layer High-Efficiency Circular Aperture Microstrip Array Antenna
Authors: Qi Shi-Shan , Zhao Jun-Jie , Wu Wen
Published: September 2022

Based on microstrip antenna technology, a compact single-layer circular aperture array is proposed in this paper. The proposed method is suitable for designing large-scale and high-efficiency patch array in Ka band. By using the high-impedance characteristic of the coupled microstrip line, a novel multi-stage feeding network that can realize large power division ratio is proposed, and its structure is center-symmetrical and is fed through a coaxial probe at the center. The parallel branch of the multi-stage divider is connected to the row array, and the array elements can obtain uniform excitation through the design of the division ratio of each stage. A 256-element patch array operating at 35 GHz is proposed, the length and width of the antenna unit are 2.74 mm and 3 mm, respectively, the horizontal spacing between the array elements is 0.742λ0, the vertical spacing varies from 0.677λ0 to 0.737λ0, and the radius of the proposed array is 60 mm (7λ0 at 35 GHz). At the end, a prototype is fabricated and measured, the measured results show that the maximum gain is 29.5 dBi at 35 GHz, which correspond to the radiation efficiency and aperture efficiency of 61.66% and 46.07%, respectively, and the results show that the proposed antenna achieves high efficiency in Ka band, which verifies the correctness of the design. The proposed array antenna is compact in structure and only needs single-layer design, which can achieve high efficiency and low in manufacture cost, which is an excellent candidate for millimeter-wave large-scale array application.
Static Characteristics of Improved Composite Box Girder with Corrugated Steel Webs
Authors: Wang Shijin , Wang Genhui , Zhang Zichen
Published: September 2022

In order to accurately calculate the cross‐sectional stresses and deflections of the improved composite box girder with corrugated steel webs, the control differential equations and boundary conditions are established based on the energy variational principle, taking into account the effects of corrugated steel web properties, shear lag, and shear deformation. A cantilever composite box girder is used as a numerical example. The influence of width span ratio and corrugated steel web bending angle on the shear lag and fold effect is analyzed. The results show that the analytical solution is in good agreement with the finite element solution. A shear lag effect and a negative shear lag effect exist in the cantilever composite box girder under uniform load. The fold effect under concentrated load has a greater influence on the mechanical properties of the wing plate than under uniform load. With the increase of the width span ratio, the effects of both shear lag and fold effect increases. With the increase of the corrugated steel web bending angle, the fold effect is obviously enhanced, but the change of the bending angle has little effect on the shear lag effect.
High Glucose Promotes Pancreatic Ductal Adenocarcinoma Gemcitabine Resistance and Invasion through Modulating ROS/MMP-3 Signaling Pathway
Authors: Deng Junyuan , Guo Yujie , Hu Xiaomu , Du Jiali , Gu Jichun , Kong Lei , Tao Baian , Fu Deliang , Ying Tianlei , Li Ji
Published: September 2022

Pancreatic ductal adenocarcinoma (PDA) is often concomitant with diabetes mellitus, which mainly manifests as an increased blood glucose level. Previous studies revealed that diabetic status reduced the survival and blunted gemcitabine sensitivity in PDA patients. This study is aimed at analyzing the mechanism of elevated gemcitabine resistance and cancer invasion ability under high glucose environment. We selected 129 patients with 22 surgical resected samples from 2015 to 2021, who underwent pancreatic surgery in Huashan Hospital. The gene expression and clinical data of PDA were obtained from The Cancer Genome Atlas (TCGA) website and were analyzed by R software. Cell viability assays and flow cytometry were applied to detect gemcitabine sensitivity and apoptosis levels in pancreatic cancer cells. Wound healing and Transwell tests were used to analyze the invasion and metastasis of cancer cells. Streptozotocin (STZ) was used to establish a hyperglycemic mouse model for the in vivo study. In this study, diabetic PDA gemcitabine users showed reduced survival compared to euglycemic PDA gemcitabine users. Clinical samples and laboratory studies revealed that MMP-3 expression was associated with glucose concentration and diabetic status. Elevated MMP-3 expression was positively related to cancer invasion and gemcitabine resistance in PDA cells and gemcitabine resistant PDA cells. Blocking MMP-3 expression inhibited gemcitabine resistance and cancer progression in cellular and animal models. MMP-3 was closely related to the expression of RRM1, a gemcitabine metabolism-related gene. Reactive oxygen species (ROS) level increased under higher glucose concentrations and was mediated by NOX4. ROS determined the MMP-3 expression in pancreatic cancer cells. Inhibiting NOX4 expression effectively suppressed MMP-3 expression, gemcitabine resistance, and cancer invasion. In conclusion, a high glucose environment induces gemcitabine resistance and cancer invasion via ROS/MMP-3 signaling pathway. MMP-3 can be a potential novel target for suppressing gemcitabine resistance and invasion in PDA.