bluuebunny/crossref_metadata_2025 huggingface dataset:
Politics and Strategy of the United States, the Russian Federation, and China in the Middle East
Authors: Batyuk V. I. , Morozov Yu. V.
Published: September 2022

The “triangle” of America–China–Russia formed during the Cold War of 1945–1991 still has a huge impact on modern world politics. And the balance of power within this “triangle” has been determined and will be determined by the ability of Washington, Moscow, and Beijing to promote their interests in various regions of the planet. Of course, one of the most important of these regions was, is, and will be the Middle East, where the economic, geostrategic, and ideological interests of the leading centers of power in the modern world collide.
Countermeasures for Hybrid Threats: The Experience of the European Union and Its Member States
Authors: Bazarkina D. Yu.
Published: September 2022

The methods and tools used by the European Union to counter hybrid threats are identified: from the fight against terrorism to measures aimed at combating economic competitors and political opponents (mainly, to squeeze Russia and China out of European markets). It is concluded that it is not by chance that neither EU institutions nor the research community have worked out a comprehensive definition of operations to combat hybrid threats. A broad understanding of hybrid threats as practically any (depending on the political situation) actions of the opponent serves to justify the application of any counteraction tool. In the fight against global threats such as terrorism, cybercrime, and the spread of false medical data, the EU takes a systemic approach, which makes it possible to assess the level and degree of the convergence of threats to critical infrastructure and the infosphere, as well as the possibilities of counteraction. At the same time, attempts to use economic, legislative, political, and informational tools to achieve one-sided economic, political, and military advantages do not reduce the degree of tension in the EU’s relations with Russia, China, and some other countries, only increasing the number and strength of hybrid threats. This reduces the EU’s ability to achieve strategic autonomy.
Coronary atherosclerotic burden assessed by SYNTAX scores and outcomes in surgical, percutaneous or medical strategies: a retrospective cohort study
Authors: Scudeler Thiago Luis , Farkouh Michael E , Hueb Whady , Rezende Paulo C , Campolina Alessandro G , Martins Eduardo Bello , Godoy Lucas C , Soares Paulo Rogério , Ramires Jose A F , Kalil Filho Roberto
Published: September 2022

Introduction

Coronary atherosclerotic burden and SYNTAX Score (SS) are predictors of cardiovascular events.

Objectives

To investigate the value of SYNTAX scores (SS, SYNTAX Score II (SSII) and residual SYNTAX Score (rSS)) for predicting cardiovascular events in patients with coronary artery disease (CAD).

Design

Retrospective cohort study.

Setting

Single tertiary centre.

Participants

Medicine, Angioplasty or Surgery Study database patients with stable multivessel CAD and preserved ejection fraction.

Interventions

Patients with CAD undergoing coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI) or medical treatment (MT) alone from January 2002 to December 2015.

Primary and secondary outcomes

Primary: 5-year all-cause mortality. Secondary: composite of all-cause death, myocardial infarction, stroke and subsequent coronary revascularisation at 5 years.

Results

A total of 1719 patients underwent PCI (n=573), CABG (n=572) or MT (n=574) alone. The SS was not considered an independent predictor of 5-year mortality in the PCI (low, intermediate and high SS at 6.5%, 6.8% and 4.3%, respectively, p=0.745), CABG (low, intermediate and high SS at 5.7%, 8.0% and 12.1%, respectively, p=0.194) and MT (low, intermediate and high SS at 6.8%, 6.9% and 6.5%, respectively, p=0.993) cohorts. The SSII (low, intermediate and high SSII at 3.6% vs 7.9% vs 10.5%, respectively, p<0.001) was associated with a higher mortality risk in the overall population. Within each treatment strategy, SSII was associated with a significant 5-year mortality rate, especially in CABG patients with higher SSII (low, intermediate and high SSII at 1.8%, 9.7% and 10.0%, respectively, p=0.004) and in MT patients with high SSII (low, intermediate and high SSII at 5.0%, 4.7% and 10.8%, respectively, p=0.031). SSII demonstrated a better predictive accuracy for mortality compared with SS and rSS (c-index=0.62).

Conclusions

Coronary atherosclerotic burden alone was not associated with significantly increased risk of all-cause mortality. The SSII better discriminates the risk of death.

Trial registration number

ISRCTN66068876.
’It stayed there, front and centre’: perspectives on community pharmacy’s contribution to front-line healthcare services during the COVID-19 pandemic in Northern Ireland
Authors: Patterson Susan M , Cadogan Cathal A , Barry Heather E , Hughes Carmel M
Published: September 2022

Objectives

To explore community pharmacists and key stakeholders’ perspectives and reflections on the community pharmacy workforce’s preparedness for, and response to, COVID-19, including lessons for future public health crises.

Design, setting and participants

Qualitative study using semistructured interviews (via telephone or online videoconferencing platform), with community pharmacists and a range of key stakeholders (representing other health professions, professional/governing organisations concerned with community pharmacy and patient advocacy groups) from across Northern Ireland. Data were analysed using thematic analysis and constant comparison.

Results

Thirty interviews were conducted with community pharmacists (n=15) and key stakeholders (n=15). Four themes were identified: (1) adaptation and adjustment (reflecting how community responded quickly to the need to maintain services and adjusted and adapted services accordingly); (2) the primary point of contact (the continuing accessibility of community pharmacy when other services were not available and role as a communication hub, particularly in relation to information for patients and maintaining contact with other healthcare professionals); (3) lessons learnt (the flexibility of community pharmacy, the lack of infrastructure, especially in relation to information technology, and the need to build on the pandemic experience to develop practice); and (4) planning for the future (better infrastructure which reinforced concerns about poor technology, coordination of primary care services and preparing for the next public health crisis). There was a general view that community pharmacy needed to build on what had been learnt to advance the role of the profession.

Conclusions

The strengths of community pharmacy and its contribution to healthcare services in the COVID-19 pandemic were noted by community pharmacists and acknowledged by key stakeholders. The findings from this study should inform the policy debate on community pharmacy and its contribution to the public health agenda.
Academic-practice partnerships in evidence-based nursing practice: a scoping review protocol
Authors: Halili Xirongguli , Välimäki Maritta , Li Zeen , Tang Siyuan , Wang Honghong , Chen Qirong
Published: September 2022

Introduction

Academic-practice partnerships are a promising strategy that could strengthen the promotion and innovation of evidence-based nursing practice (EBNP). However, there is little evidence of how academic and clinical institutions and individuals should collaborate in each process of EBNP and the factors that influence academic-practice partnerships in EBNP. There is a pressing need to explore the extent of the literature on academic-practice partnerships in EBNP, as well as to classify, compare and summarise the results or opinions obtained from various types of literature to identify both existing knowledge and gaps in the research.

Methods and analysis

The scoping review will be conducted following the methodological guidelines provided by the JBI. The scoping review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Seven databases, including the Cochrane Library, PubMed, Web of Science, CINAHL, EMBASE, SCOPUS, Educational Resource Information Center and two Chinese databases (ie, CNKI and WANFANG DATA), will be searched. The grey literature will also be searched using the American Association of Colleges of Nursing, American Nurses Association, Open Grey, Grey Literature Report and the official website of JBI. The literature screening and data extraction will be conducted independently by two researchers. A third researcher will be involved when a consensus is needed.

Ethics and dissemination

Ethics approval is not required. The findings of the scoping review will be disseminated in a conference and a peer-reviewed journal.
Clinical detection of ‘cold stress’ is overlooked: an online survey of healthcare workers to explore the gap in neonatal thermal care in low-resource settings
Authors: Kyokan Michiko , Jirapaet Veena , Rosa-Mangeret Flavia , Pisoni Giorgia Brambilla , Pfister Riccardo E
Published: September 2022

Background

Neonatal hypothermia has been widely regarded as a major contributory factor to neonatal mortality and morbidity in low-resource settings. The high prevalence of potentially preventable hypothermia today urges an investigation into why neonates still become hypothermic despite awareness of the problem and established thermal care guidelines. This study aimed to explore the gaps in knowledge and practices of neonatal thermal care among healthcare workers in low-resource settings.

Methods

A cross-sectional, questionnaire-based survey was performed online among healthcare workers in low-resource settings. We applied a purposive and snowballing sampling method to recruit participants through a two-round international online survey. Questionnaires were developed using themes of neonatal thermal care extracted from existing neonatal care guidelines.

Results

55 neonatal care professionals participated in the first-round survey and 33 in the second. Almost all participants (n=44–54/55) acknowledged the importance of the WHO’s warm chain to keep a neonate warm. However, fewer participants (n=34–46/55) responded to practice them. When asked about cold stress, defined as a condition in which neonates are below optimum environmental temperature and using more oxygen and energy while maintaining normal body temperature, 15 out of 55 participants answered that checking extremity temperatures by hand touch was useless. Some participants reported concern about the extremity temperature’s inaccuracy compared with core temperature. Opinions and preferences for rewarming methods differed among participants, and so did the availability of warming equipment at their institutions.

Conclusion

An inadequate understanding of cold stress underestimates the potential benefits of extremity temperatures and leads to missed opportunities for the timely prevention of hypothermia. The current thermal care guidelines fail to highlight the importance of monitoring cold stress and intervening before hypothermia occurs. Therefore, we urge introducing the concept of cold stress in any neonatal thermal care guidelines.
Decoding psychosis: from national genome project to national brain project
Authors: Sun Liya , Xu Manfei , Shi Yongyong , Xu Yifeng , Chen Jinghong , He Lin
Published: September 2022

The mind has puzzled humans for centuries, and its disorders, such as psychoses, have caused tremendous difficulties. However, relatively recent biotechnological breakthroughs, such as DNA technology and neuroimaging, have empowered scientists to explore the more fundamental aspects of psychosis. From searching for psychosis-causing genes to imaging the depths of the brain, scientists worldwide seek novel methods to understand the mind and the causes of its disorders. This article will briefly review the history of understanding and managing psychosis and the main findings of modern genetic research and then attempt to stimulate thought for decoding the biological mechanisms of psychosis in the present era of brain science.
Endovascular therapy in acute anterior circulation large vessel occlusive patients with a large infarct core (ANGEL-ASPECT): protocol of a multicentre randomised trial
Authors: Huo Xiaochuan , Ma Gaoting , Zhang Xuelei , Pan Yuesong , Tong Xu , Sun Dapeng , Liu Liping , Wang Yilong , Liebeskind David S , Wang Yongjun , Pereira Vitor Mendes , Ren Zeguang , Miao Zhongrong
Published: September 2022

Background

The benefit of stroke thrombectomy for large infarct core still lacks robust randomised controlled studies.

Aim

To demonstrate the design of a clinical trial on endovascular therapy for acute anterior circulation large vessel occlusion (LVO) patients with large infarct core volume.

Design

ANGEL-ASPECT is a multicentre, prospective, randomised, open-label, blinded End-point trial to evaluate whether best medical management (BMM) combined with endovascular therapy improves neurological functional outcomes as compared with BMM alone in acute LVO patients with Alberta Stroke Program Early CT Score (ASPECTS) of 3–5 on non-contrast CT or infarct core volume range of 70–100 mL (defined as rCBF <30% on CT perfusion or ADC <620 on MRI) up to 24 hours from symptom onset or last seen well.

Study outcomes

The primary efficacy outcome is 90 (±7) days modified Rankin Scale. Symptomatic intracranial haemorrhage within 48 hours from randomisation is the primary safety outcome.

Discussion

The ANGEL-ASPECT trial will screen patients with large infarct core (ASPECTS 3–5 or 70–100 mL) through image evaluation criteria within 24 hours and explore the efficacy and safety of endovascular therapy compared with BMM.
Event-shape engineering analysis of D meson in ultrarelativistic heavy-ion collisions
Authors: Sambataro Maria Lucia , Sun Yifeng , Minissale Vincenzo , Plumari Salvatore , Greco Vincenzo
Published: September 2022

We describe the propagation of charm quarks in the quark-gluon plasma (QGP) by means of an event-by-event transport approach. In our calculations the non-perturbative interaction between heavy quarks and light partons has been taken into account through a quasi-particle approach with thermal light quark masses tuned to reproduce lQCD thermodynamics. We found that the flow observables $$v_2$$

v
2

and $$v_3$$

v
3

of D mesons are comparable with the experimental measurements for Pb + Pb collisions at 5.02 TeV in different ranges of centrality selections. The results are analyzed with event-shape engineering technique. The comparison of the anisotropic flow coefficients $$v_n$$

v
n

with experimental data show a quite good agreement with experimental data for different flow vector $$q_2$$

q
2

selections, which confirms the strong coupling between charm quarks and light quarks in the QCD matter. Furthermore, we present here a novel study of the event-by-event correlations between flow harmonics of D mesons and soft hadrons at LHC energy with the event-shape engineering technique that can put further constraints on heavy quark transport coefficients toward a solid comparison between the phenomenological determination and the lattice QCD calculations.
Study of localized waves for couple of the nonlinear Schrödinger dynamical equations
Authors: Seadawy Aly R. , Rizvi Syed T. R. , Shabbir Sana , Khizar Saria
Published: September 2022

In this paper, we will use various ansatz transformations to obtain different kinds of optical solitons solutions for couple of nonlinear Schrödinger equations (NLSEs). We get bright, dark, bright in the dark (dipole), combined dark–bright (combo) and some other solitary wave solutions for quadratic-cubic quintic system in optical meta-materials (CQS-OM) having quadratic cubic nonlinearity along with NLSE with anti-cubic nonlinearity (AC) in an optical fiber. We also show our results graphically in various dimensions under different constraint conditions.
An Online Education Course Recommendation Method Based on Knowledge Graphs and Reinforcement Learning
Authors: Guan Honglei
Published: September 2022

This paper presents an in-depth study and analysis of online education course recommendations through a knowledge graph combined with reinforcement learning, and proposes a deep learning-based joint extraction method of course knowledge entities and relations in the education domain. This joint extraction method can extract both course knowledge entities and their relationships from the unstructured text of online courses, thus alleviating the problem of error propagation. On the other hand, since some parameters in the joint model can be shared by the entity identification task and the relationship classification task, this helps the model to capture the interaction between the two subtasks. Similar courses are judged based on the extracted course knowledge points, while course knowledge chains are generated based on the relationships between course knowledge points. In terms of user learning behavior, by analyzing user online learning behavior data, this paper uses five variables, namely the number of learning hours, the number of discussions, the number of visits, the number of task points completed, and the number of learning courses, to judge and cluster user similarity using an information entropy-based learner behavior weight assignment method. Based on the course knowledge map, this paper firstly constructs a learner model with four dimensions of basic learner profile, cognitive level, learning style, and historical learning records. Secondly, it predicts the target knowledge points of learners based on their learning data using the Armorial algorithm and maps them in the knowledge map, then uses natural language processing related techniques to find the conceptual similarity between knowledge points and proposes a deep recommendation strategy based on the knowledge graph correlations. At the same time, the recommended courses based on learners’ behavioral data are more relevant and accurate, which greatly improves learners’ efficiency and satisfaction in the learning process.
Reconstruction of cosmological models in a general gravitational framework involving torsion scalar
Authors: Waheed Saira
Published: September 2022

This study is elaborated to reconstruct some cosmological models in the gravitational framework of an extended teleparallel gravity based on the higher-order derivative terms of torsion scalar. To achieve this goal, we consider spatially flat FRW model with perfect fluid as background matter distribution. In this framework, we find some interesting exact solutions by using the hybrid and intermediate forms of scale factor via a well-known reconstruction scheme. For exploring physical significance of the reconstructed solutions, we analyze the behavior of dark energy EoS parameter, the validity of energy condition bounds as well as the generalized second law of thermodynamics graphically. For investigating the stability of reconstructed solutions, we check the behavior of speed of sound [Formula: see text] in each case. It is seen that in de Sitter case, the reconstruction of full Lagrangian function is not possible as it reduces to the case of simple [Formula: see text] gravity which has already been discussed in literature. While for power law form of scale factor, it is found that reconstruction is possible and most of the obtained solutions favor the quintessence era of cosmic evolution. Further, it is concluded that both the energy conditions and generalized second thermodynamical law hold for the reconstructed solutions and these solutions exhibit stable behavior (as [Formula: see text]). Lastly, in case of intermediate form of scale factor, the resulting differential equations are very complicated and hence the analytical solution is possible only for the simplest case which, further, indicates cosmologically promising behavior.
Some identities involving generalized (α,β)-derivations in prime and semiprime rings
Authors: Bera Manami , Dhara Basudeb , Kar Sukhendu
Published: September 2022

Let [Formula: see text] be a prime or semiprime ring, [Formula: see text] a nonzero left-sided ideal of [Formula: see text] and [Formula: see text] be two automorphisms of [Formula: see text]. Let [Formula: see text] and [Formula: see text] be two generalized [Formula: see text]-derivations of [Formula: see text] associated with [Formula: see text]-derivations [Formula: see text] and [Formula: see text], respectively. The purpose of this paper is to investigate the following identities:

(1) [Formula: see text]; (2) [Formula: see text]; (3) [Formula: see text]; (4) [Formula: see text]; (5) [Formula: see text]; (6) [Formula: see text]; (7) [Formula: see text]; (8) [Formula: see text]; (9) [Formula: see text]; (10) [Formula: see text]; (11) [Formula: see text]; (12) [Formula: see text],

for all [Formula: see text].
Analgesic Medication in Fibromyalgia Patients: A Cross-Sectional Study
Authors: Aster H.-C. , Evdokimov D. , Braun A. , Üçeyler N. , Sommer C.
Published: September 2022

There is no approved drug for fibromyalgia syndrome (FMS) in Europe. In the German S3 guideline, amitriptyline, duloxetine, and pregabalin are recommended for temporary use. The aim of this study was to cross-sectionally investigate the current practice of medication in FMS patients in Germany. We systematically interviewed 156 patients with FMS, while they were participating in a larger study. The patients had been stratified into subgroups with and without a decrease in intraepidermal nerve fiber density. The drugs most commonly used to treat FMS pain were nonsteroidal anti-inflammatory drugs (NSAIDs) (41.0% of all patients), metamizole (22.4%), and amitriptyline (12.8%). The most frequent analgesic treatment regimen was “on demand” (53.9%), during pain attacks, while 35.1% of the drugs were administered daily and the remaining in other regimens. Median pain relief as self-rated by the patients on a numerical rating scale (0–10) was 2 points for NSAIDS, 2 for metamizole, and 1 for amitriptyline. Drugs that were discontinued due to lack of efficacy rather than side effects were acetaminophen, flupirtine, and selective serotonin reuptake inhibitors. Reduction in pain severity was best achieved by NSAIDs and metamizole. Our hypothesis that a decrease in intraepidermal nerve fiber density might represent a neuropathic subtype of FMS, which would be associated with better effectiveness of drugs targeting neuropathic pain, could not be confirmed in this cohort. Many FMS patients take “on-demand” medication that is not in line with current guidelines. More randomized clinical trials are needed to assess drug effects in FMS subgroups.
Mortality during In-Hospital Treatment for Head and Neck Cancer in Germany: A Diagnosis-Related Group-Based Nationwide Analysis, 2005–2018
Authors: Hermanns Isabel , Kouka Mussab , Schlattmann Peter , Guntinas-Lichius Orlando
Published: September 2022

Background. Data on in-hospital MR (IHMR) of head and neck cancer (HNC) are sparse. Methods. IHMR was determined in Germany between 2005 and 2018 using nationwide population-based diagnosis-related group (DRG) data of 1,090,596 HNC. Results. The overall average IHMR was

0.04
±
0.02

. IHMR increased with older age to

0.04
±
0.01

for patients of 65-79 years of age (relative risk [RR] in relation to patients of 35-49 years of

age
=
1.767

;

95
%
confidence
 
interval
 

CI

=
1.040

to3.001) to a maximum of

0.07
±
0.01

for patients of 80 years and older (

RR
=
2.826

;

CI
=
1.663

to 4.803). IHMR was the highest when no HNC-specific treatment, i.e., best supportive and palliative care, was applied (

0.11
±
0.01

; RR in relation to

tumor
 
biopsy
 
surgery
=
7.241

;

CI
=
3.447

to 5.211). IHMR was not different between surgery, radiotherapy, or chemotherapy/biologicals. Conclusions. IHMR did not change over time. Efforts are needed to decrease the IHMR for HNC.
Appropriate Complementary Feeding Practice and Its Associated Factors among Mothers Who Have Children Aged between 6 and 24 Months in Ethiopia: Systematic Review and Meta-Analysis
Authors: Dagne Asrat Hailu , Zewude Shimeles Biru , Semahegn Abenezer Melkie
Published: September 2022

Background. Appropriate complementary feeding practices prevent malnutrition among children. The proportion and determinant factors of appropriate complementary feeding practices identified by different studies were inconsistent in Ethiopia. Therefore, this systematic review and meta-analysis aimed to assess the pooled proportion and determinants of appropriate complementary feeding practices among mothers. Methods. Databases (PubMed, HINARI, Google Scholar, Cochrane Library, and Web of Science) and university repositories were used to search for important articles. A critical appraisal of the studies was conducted. Data analysis was conducted using STATA version 11. Cochran (Q test) and I2 test were used to test the heterogeneity of the studies. Publication bias was checked using the funnel plot for asymmetry and Egger’s regression test. Results. Seventeen primary studies with a total sample size of 9166 mothers were involved in this study. The pooled proportion of appropriate complementary feeding practices among mothers who had infants and young children aged between 6 and 24 months was 21.77 (with a 95% CI: 14.07–29.48). Mothers’ educational status of secondary school and above (OR = 3.36 with a 95% CI: 3.03–3.69), having repeated antenatal care visits (OR = 4.77 with a 95% CI: 3.49–6.05), child’s age between 12 and 24 months (OR = 3.7 with a 95% CI: 2.75–4.65), having repeated postnatal care visits (OR = 3.17 with a 95% CI: 1.96–4.38), health education (OR = 4.88 with a 95% CI: 3.86–5.9), knowledge of mothers (OR = 4.85 with a 95% CI: 3.77–5.93), maternal age between 18 and 35 years (AOR = 2.67 with a 95% CI: 1.64–3.72), institutional delivery (OR = 2.23 with a 95% CI: 1.79–2.68), and higher household wealth (OR = 2.65 with a 95% CI: 1.46–3.84) were found to be statistically significant associated factors of appropriate complementary feeding practices among mothers. Conclusions. The pooled proportion of appropriate complementary feeding practices was low in Ethiopia. Knowledge of mothers and maternal health service uptake such as antenatal care, postnatal care, and institutional delivery increase appropriate complementary feeding practices. More focus is required for mothers who have children aged less than 12 months, mothers aged above 35 years and less than 18 years, lower mothers’ educational status, and lower household wealth. Therefore, integrated interventions are still required to improve appropriate complementary feeding practices.
[Retracted] Investigation of the Effect of Oral Implant Surgery on Clinical Treatment and Oral Function of Patients with Dentition Loss
Authors: Men Bei , Jiang Shu , Li Yongjun
Published: September 2022

In order to investigate the effect of oral implant surgery on clinical treatment and oral function of patients with dentition loss, a total of 118 patients with dentition loss in the Department of Stomatology of our hospital from January 2019 to January 2022 are retrospectively analyzed. They are randomly divided into the conventional group and the implant group. The conventional group is treated with conventional dentition restoration, and the implant group is treated with oral implant restoration. The repair efficiency of the two groups is compared. The swallowing function of the 2 groups is assessed by Standard Swallowing Assessment (SSA) table before and after treatment. Self‐rating depression scale (SDS) and self‐rating anxiety scale (SAS) are used to compare the negative emotions of the two groups before and after treatment. Experimental results show that the total effective rate of the implant group is significantly higher than that of the conventional group, but no invalid cases occurred in the two groups after treatment.
Student Management Method of Private Colleges and Universities Based on Geographic Information System and WIFI
Authors: Qiao Dongmin , Yang Huan , Liu Ying
Published: September 2022

In order to improve the student management effect of private colleges and universities, this paper combines geographic information system and WIFI to construct a private college student management system. In the structural design, this paper divides the platform into several modules according to the idea of modularization and narrates the function of each part. In the database design, this paper completes the construction of each function of the platform. In the process design, this paper determines the design process of the platform. Finally, this paper studies the key technologies involved in the system and evaluates students’ trajectory positioning and management effects in colleges and universities. The research shows that the student management system of private colleges and universities based on geographic information system and WIFI proposed in this paper can effectively improve the student management effect of private colleges and universities.
Metro Traffic Flow Prediction via Knowledge Graph and Spatiotemporal Graph Neural Network
Authors: Wang Shun , Lv Yimei , Peng Yuan , Piao Xinglin , Zhang Yong
Published: September 2022

Existing traffic flow prediction methods generally only consider the spatiotemporal characteristics of traffic flow. However, in addition to the spatiotemporal characteristics, the interference of various external factors needs to be considered in traffic flow prediction, including severe weather, major events, traffic control, and metro failures. The current research still cannot fully use the information contained in these external factors. To address this issue, we propose a novel metro traffic flow prediction method (KGR-STGNN) based on knowledge graph representation learning. We construct a knowledge graph that stores factors related to metro traffic networks. Through the knowledge graph representation learning technology, we can learn the influence representation of external factors from the traffic knowledge graph, which can better incorporate the influence of external factors into the prediction model based on the spatiotemporal graph neural network. Experimental results demonstrate the effectiveness of our proposed model.
[Retracted] Research on the Sustainability of Traditional Music and the Adaptability of Ecological Environment
Authors: Kan Lei
Published: September 2022

Under the new situation, the world is showing a trend of becoming more and more open, and the frequency of cultural exchanges in China is also accelerating. In this case, traditional music has been impacted to a certain extent, which also affects the sustainable use of traditional music. This is the general law of cultural development, and the impact is also accompanied by vitality. The analysis of the sustainability of traditional music and the adaptability of the ecological environment, how to accurately improve the matching results will directly affect the accuracy of the analysis of the sustainability of traditional music and the adaptability of the ecological environment. This study proposes an adaptive analysis method for the sustainability and ecological environment of traditional music. While analyzing the characteristics of traditional music in detail, the important characteristics of other types of music have also been fully considered. In this study, the adaptive evaluation method is used to obtain the optimal dynamic evaluation parameters. At the same time, the dynamic amplitude difference step size is set, and the adaptability analysis is performed according to the change threshold to improve the accuracy of the adaptability analysis of sustainability and the ecological environment. The adaptive evaluation method is used to limit the weight of lyrics and the semantic information of music. Finally, the experimental analysis shows that the traditional adaptive evaluation method and the algorithm of this study are experimentally tested. Adding adaptive evaluation methods further improves the accuracy of evaluation.
Mathematical Modeling of Multiattack Behavior Discrimination in the WSN Based on Incidence Matrix
Authors: Shuai-Jing Yu , Peng-Fei Wang
Published: September 2022

The current WSN is vulnerable to a variety of malicious attacks, resulting in the decline of its comprehensive performance. Multihop routing involves a number of safety and privacy issues. Problems such as snooping, sinkhole, manipulation, cloning, wormhole, spoofing, and so on affect the integrity, availability, and confidentiality of the WSNs. Therefore, this paper mainly studies the mathematical modeling of WSN multiattack behavior discrimination based on the incidence matrix. The WSN node model is used to collect relevant data and mark and map the disguised data, so as to determine the characteristics of multiattack behavior and establish the WSN multiattack behavior discrimination model based on the incidence matrix. The experimental results show that the designed multiattack behavior discrimination model can distinguish the attack type according to the characteristics, has high recognition ability, can spend a short time to effectively distinguish the attack behavior, has a low false positive rate, and can effectively improve the antiattack ability of the WSN.
Construction of User Behavior Web Data Mining Model for Internet Marketing
Authors: Wei Ming
Published: September 2022

With the rapid development of the Internet and the rapid change of the era of big data, data mining has played a great role in exploring and discovering potential valuable information from the vast sea of data and has become one of the most popular research and practice fields. At the same time, the emerging marketing model of network marketing is sweeping the market, and network marketing is increasingly replacing the traditional marketing model with its unique advantages, such as wide coverage, fast dissemination, and being more flexible and targeted. Preserving, researching, and analyzing the behavior of network marketing users are the difficulties of current network marketing. It is the focus of this paper to explore how to use Web data mining technology to model the user behavior of Internet marketing. For the above problems, this paper used the weight calculation algorithm of users’ daily behavior feature items and the sequential pattern discovery algorithm based on multiple factor constraints to scientifically construct the online marketing user behavior model. The experimental results have shown that the sequential pattern discovery algorithm based on multiple factor constraints could save 30%-40% of the running cost when building a user behavior model. At the same time, the user behavior model constructed by this algorithm has improved the simulation and prediction accuracy of user behavior by 37%, which showed that the use of Web data mining to build network marketing user behavior model could provide an objective basis for the strategic development of network marketing.
Why Does Distributed Leadership Foster or Hamper Bootlegging Behavior of Employees: The Role of Exploratory-Exploitative Learning Tension and Paradox Mindset
Authors: Lyu Ledi , Zhang Haomin , Gao Kai
Published: September 2022

Bootlegging innovation, the act of developing an idea by an employee even when it was banned by the leader, is a novel and interesting construct that can bring both positive and negative outcomes to organizations. It is of interest to the organizations, leaders within those organizations, and the employers. Drawing upon paradox theory and organizational learning perspectives, we theorize and test a moderated mediation model to explore the relationship between distributed leadership and bootlegging behavior. We use a three-stage questionnaire method to collect data from 517 employees of information technology enterprises in China. Our results corroborate the following: (a) distributed leadership is positively related to the bootlegging behavior of employees; (b) exploratory-exploitative learning tension mediates the linkage between the distributed leadership and the bootlegging behavior of employees; (c) employee’s paradox mindset moderates the positive relationship between exploratory-exploitative learning tensions and the bootlegging behavior and also moderates the positive direct relationship between the distributed leadership and employee’s bootlegging behavior, so that the relationship is amplified when paradox mindset is strong. We discuss the implications for theory development and practice concerning how distributed leadership can influence personal bootlegging behavior.
The Application of Clothing Intelligent 3D Display with Uncertainty Models Technology in Clothing Marketing
Authors: Xu Zhonglin , Huwan Trip
Published: September 2022

As a result of the development of new technologies such as satellite communication, digitalization, and multimedia computer networks, new media such as blogs, online magazines, and wireless network media have sparked a lot of interest. This study uses 3D clothing display technologies to improve the customer experience of online clothing marketing, aid in the improvement of online clothing marketing efficacy, and extensively discuss the digital clothing anthropometric model. Furthermore, this study employs the convex hull approach and NURBS fitting technology to address concerns with digital clothing anthropometric measurement and provides a practical solution for measuring straight line length, circumference length, and curve length. Furthermore, this research incorporates 3D intelligent technology to develop an online fitting system as well as an intelligent display system for garments. The simulation experiment investigation revealed that the smart clothing 3D display system proposed in this work has a substantial impact on growing online e‐commerce clothing marketing as well as improving clothing marketing effectiveness.
A Semi-Self-Supervised Intrusion Detection System for Multilevel Industrial Cyber Protection
Authors: Ye Fuchuan , Zhao Weiqiong
Published: September 2022

Industry 4.0 affects all components of the modern industry value chain. The accelerating use of the Internet and the convergence of industrial and operational networks constantly increase the need for secure industrial communication solutions. Therefore, “multilevel industrial cyber protection” is critical to Industry 4.0. In general, industrial protection refers to safeguarding information and data and the intellectual property rights of production processes related to the overall industry environment. The availability, integrity, and confidentiality of systems must be maintained. The goal challenge is the best possible protection from attacks and threats which create immediate financial damage and other risks in the industry (reputation, etc.). Based on the Defense-in-Depth strategy, a holistic, multilayered, and in-depth protection of industrial systems is developed in this paper. Specifically, a Semi-Self-Supervised Intrusion Detection System (S3IDS) is proposed, which combines advanced machine learning techniques for industrial data noise reduction to automate the discovery and separation of classes, which are essentially equivalent to cyber-related anomalies. As demonstrated by a mathematical simulation based on computational number theory and specifically on the concept of the single object, the proposed S3IDS learns to accurately reconstruct samples to predict the nature of an anomaly created directly by the industrial ecosystem.
[Retracted] Comprehensive Evaluation of Government Economic Management Performance Based on Multidimensional Data Mining in Fuzzy Comprehensive Environment
Authors: Wang Min
Published: September 2022

Economic, political, social, and military activities all fall under the umbrella of government duties. The modification and reinterpretation of economic functions are the primary focus of the innovation in government administration style under the wave of economic globalisation. The effectiveness of the government’s economic administration determines the general level of public administration at the federal level. An essential issue of national public administration that has a significant impact on the political growth of many nations is the performance evaluation of government economic administration. The people are the subject of government economic administration performance evaluation, and the people adjudicate the outcomes. An essential method of assessing the productivity of various departments is through performance review. The nation is currently in the process of switching from its long‐standing planned economic system to a market economic system. The internal and external environments of governmental organisations are continually changing in addition to the strong trend of economic globalisation. Determining and advancing the national government’s economic administration model is so crucial. The article offers a multidimensional data mining‐based optimum design scheme for the thorough assessment of government economic administration performance. The fuzzy comprehensive evaluation rule is an effective method for quantifying the qualitative indicators when the quantitative indicators in the evaluation index system are difficult to measure. It is relatively simple, reasonable, and simple to operate in practise, which is conducive to the thorough and scientific performance evaluation of the government economic administration’s science and technology administration functions. Following an assessment of the system’s performance using association rule data mining technologies, a simulation test analysis is completed. The accuracy of the proposed arithmetic, which is 8.26% higher than the conventional arithmetic, is demonstrated by simulation results. The development of an evaluation model that incorporates both subjective and objective criteria, as well as the thorough assessment of the effectiveness of government economic administration based on data mining technologies, has excellent application prospects and practical value.
CXC Chemokines in the Pathogenesis of Pulmonary Disease and Pharmacological Relevance
Authors: Komolafe Kayode , Pacurari Maricica
Published: September 2022

Chemokines and their receptors play important roles in the pathophysiology of many diseases by regulating the cellular migration of major inflammatory and immune players. The CXC motif chemokine subfamily is the second largest family, and it is further subdivided into ELR motif CXC (ELR+) and non-ELR motif (ELR-) CXC chemokines, which are effective chemoattractants for neutrophils and lymphocytes/monocytes, respectively. These chemokines and their receptors are expected to have a significant impact on a wide range of lung diseases, many of which have inflammatory or immunological underpinnings. As a result, manipulations of this subfamily of chemokines and their receptors using small molecular agents and other means have been explored for potential therapeutic benefit in the setting of several lung pathologies. Furthermore, encouraging preclinical data has necessitated the progression of a few of these drugs into clinical trials in order to make the most effective use of interventions in the development of viable targeted therapeutics. The current review presents the understanding of the roles of CXC ligands (CXCLs) and their cognate receptors (CXCRs) in the pathogenesis of several lung diseases such as allergic rhinitis, COPD, lung fibrosis, lung cancer, pneumonia, and tuberculosis. The potential therapeutic benefits of pharmacological or other CXCL/CXCR axis manipulations are also discussed.
[Retracted] Green Financial Health Risk Early Monitoring of Commercial Banks Based on Neural Network Model in a Small Sample Environment
Authors: Wang Shaohuang
Published: September 2022

Financial innovations emerge in an endless stream, and it is difficult for the regulatory measures and efforts of banks in various countries and the credit risk management level of commercial banks themselves to adapt to the increasingly complex risk environment faced by banks. In the process of building GFR (green financial risk) mixed governance model, the division of powers and responsibilities of governance subjects should be effectively defined. Therefore, it is very necessary to comprehensively and systematically study and grasp the characteristics, performance, and causes of commercial banks’ GFR and build an early‐warning model of commercial banks’ GFR to comprehensively monitor the risks of banks, so as to reduce risks and avoid crises. Therefore, this paper uses the forward three‐layer BPNN (BP neural network) technology to establish a real‐time warning model of commercial banks’ GFR. IL (input layer) to HL (hidden layer) adopts Sigmoid function, while HL to OL (output layer) function adopts linear function Purelin function. The results show that the test result of this method is greatly improved compared with the traditional method, and the correct rate is increased from 81.27% to 94.38%. It shows that the model in this paper has achieved a good warning effect of GFR for commercial banks.
Recruitment and Salary Disparity between Monolingual and Bilingual EFL Teachers in Oman
Authors: Said Bani Orabah Salim , Bijani Houman
Published: September 2022

Literature in the field of TESOL recruitment practices suggests that the myth of monolingual speakerism has impacted the employment methods in various countries in the world. The monolingual (native) speaker has a privileged position in English language teaching, representing both the model speaker and the ideal teacher. Bilingual teachers of English are often perceived as less competent than their monolingual counterparts in Oman. The aim of the study was to critically explore and problematize the recruitment practices that discriminate the bilingual English teachers in Oman. This article reports the findings of a small-scale qualitative study conducted at an English Language Center (ELC) at one of the colleges of technology in Oman (CoTs) through obtaining data from bilingual teachers of English. The results demonstrated that the native (monolingual) speakers’ fallacy is “alive and kicking” in Oman. All the recruiting agencies prefer to recruit monolingual speakers justifying this stance on the pretext that bilinguals are viewed as incompetent imitators of English. There is also a huge discrimination based on salary range between monolingual and bilingual teachers, despite doing same job. Colonial impact is another reason behind monolingual speakers’ preference. The impact of discrimination is that bilingual teachers of English are left feeling inferior. Hence, it is essential to adopt policies, which install greater sense of job security to enhance motivation and innovation. The study suggests that there is an urgent need to review the recruitment practices in Oman to establish equality and to create a healthy working environment.