bluuebunny/crossref_metadata_2025 huggingface dataset:
Reductions and cores of ideals in trivial ring extensions
Authors: Kabbaj S. , Mimouni A.
Published: May 2022

This paper contributes to the study of reductions and cores of ideals in commutative rings. We pursue our investigation initiated in our previous research works on reductions and core, but this time, in settings with zero-divisors. Namely, we study reductions and cores of ideals in various contexts of trivial ring extensions. Section 2 presents preliminary results on reductions and core in generic trivial extensions and Sec. 3 investigates reductions and cores of arbitrary ideals (i.e. not necessarily saturated) in trivial extensions issued from special categories of modules. All results are illustrated with original examples in Sec. 4.
On strongly closed and Hall s-semiembedded subgroups of finite groups
Authors: Yu Haoran , Xu Xiaowei , Zhang Guanghao
Published: May 2022

Let [Formula: see text] be subgroups of a finite group [Formula: see text], then [Formula: see text] is called strongly closed in [Formula: see text] with respect to [Formula: see text] if [Formula: see text] for every [Formula: see text], and in particular, [Formula: see text] is simply called strongly closed in [Formula: see text] if [Formula: see text] is strongly closed in [Formula: see text] with respect to [Formula: see text]. Let [Formula: see text] be a subgroup of a finite group [Formula: see text], then [Formula: see text] is called Hall [Formula: see text]-semiembedded in [Formula: see text] if [Formula: see text] is a Hall subgroup of [Formula: see text] for every [Formula: see text], where [Formula: see text]. In this paper, we obtain some criteria for [Formula: see text]-nilpotency of a finite group and extend some known results concerning strongly closed and Hall [Formula: see text]-semiembedded subgroups. In particular, we generalize some main results of Guo and Li [Hall [Formula: see text]-semiembedded subgroups and [Formula: see text]-nilpotency of finite groups, Southeast Asian Bull. Math. 42(3) (2018) 367–374] and Kong [New characterizations of [Formula: see text]-nilpotency of finite groups, J. Algebra Appl. 20(11) (2021) Article ID: 2150215, 6 pp.].
A Hybrid Data-Driven Approach for Forecasting the Characteristics of Production Disruptions and Interruptions
Authors: Bazargan-Lari Mohammad Reza , Taghipour Sharareh
Published: May 2022

Manufacturing companies sometimes suffer from unexpected production disruptions/interruptions events (DIEs), affecting the production performance and cost. Since DIEs vary in type and cause, predicting the characteristics of their corresponding production downtimes is a challenging task. Although efforts have been devoted to forecast/prevent specific types of DIEs, such as machine-related events, it is still difficult to deal with the uncertainty caused by a combination of production DIEs of various types. Moreover, the absence of a realistic scenario generator incorporating DIEs has been a challenge in production scheduling under uncertainty. This study investigates the potential use of a hybrid data-driven approach in incorporating the uncertainties of a wide range of DIEs. In this approach, a random forest (RF) method and probability distributions are integrated to forecast the DIEs. The study was carried out based on the recorded DIEs in a Canadian company producing assembly parts for automotive industry. The performance of the proposed methodology for forecasting the production DIEs is evaluated by determining the predicted total downtime (TD) in percent of the expected processing time. The proposed hybrid model yields an overall accuracy of 92.82% in predicting the TD, compared to an overall accuracy of 75.64% when a single RF is used for prediction.
Interval-Valued Fuzzy Multi-Criteria Decision-Making by Combining Analytic Hierarchy Process with Utility Representation Function
Authors: Wang Yu-Jie
Published: May 2022

To encompass uncertainty and vagueness of information, the analytic hierarchy process (AHP) was often extended into fuzzy multi-criteria decision-making (FMCDM) under an uncertain environment. However, the extension of AHP was rarely constructed on interval-valued fuzzy numbers. Recently, interval-valued fuzzy numbers were utilized for decision-making to obtain more messages than others. For AHP extended under a fuzzy environment into fuzzy AHP, fuzzy computations are critical to derive priorities of pairwise comparison matrices. Although AHP’s approximate computations including the normalization of row arithmetic averages may be adopted to the fuzzy environment, the fuzzy extension of AHP is still complicated for division and multiplication of fuzzy numbers, especially interval-valued fuzzy numbers. To resolve complicated ties, a utility representation function of interval-valued fuzzy numbers in fuzzy AHP is used for yielding vectors consisting of priority representations of fuzzy pairwise comparison matrices on evaluation criteria based on objective, alternatives based on evaluation criteria, and more hierarchies. Then, sum product of multiplying the priority representation vectors is derived to form the utility representations of alternative performance indices, and alternative performance indices are represented by their corresponding utility representations. Therefore, FMCDM problems are easily solved by fuzzy AHP, i.e., combining AHP with the utility representation function under an interval-valued fuzzy environment.
Three-Phase Methodology to Manage the COVID-19 Information for Classification of Mental Illness
Authors: Hussain Shahid
Published: May 2022

In the COVID-19 era, the use of social media platforms has significantly increased leading to misinformation being produced whose management is quite necessary for the domain experts, such as the Reddit social platform where people disseminate extensive information about their health issues using relevant posts and comments. The management of misinformation about COVID-19 impact on mental illness could be quite beneficial for the domain experts. In this regard, we proposed a two-step methodology which could aid domain experts to manage and group the posts and comments information with respect to COVID-19 impact on mental illness. First, we extract the information of well-known mental illnesses (such as depression, anxiety, OCD and PTSD) from the Raddit platform. Second, we leverage the capabilities of unsupervised learning algorithms and text categorisation approach to manage the information. We also proposed the evaluation model to assess the efficacy of the proposed method according to expert opinion. The experimental results indicate the efficacy of the proposed method. Moreover, we observed fuzzy c-means as an outperformed learner (with [Formula: see text]) as compared to K-means ([Formula: see text]) and Agglomerative ([Formula: see text]).
An Interactive English–Chinese Translation System Based on GLA Algorithm
Authors: Chai Guoxi , Wen Qiaozhi
Published: May 2022

In view of the longtime interactive English–Chinese translation system, an interactive English–Chinese translation system based on Griffin–Lim algorithm (GLA) is proposed. The hardware design of the system is completed by the hardware structure design, the interactive English–Chinese translation memory design and the interactive English–Chinese translation retrieval system design. Through analysing the semantic characteristics of interactive English–Chinese translation, constructing interactive English–Chinese translation database and designing interactive English–Chinese translation process, the system software design is completed and interactive English–Chinese translation is realised. The results of the system test show that the interactive English–Chinese translation system based on the GLA algorithm cannot only shorten the time of interactive English–Chinese translation, but also accelerate the response speed of the translation system, and greatly improve the overall performance of the interactive English–Chinese translation system.
An Analysis Method of the Supply-side Influencing Factors of “Vocational Master of Education” Based on ISM
Authors: Xiao Bing , Liu Weibin , Wu Xiaolin , Lan Yanyong
Published: May 2022

In order to explore new approaches of training postgraduates of taught postgraduate programs, this paper proposed an analysis method to discuss the supply-side influencing factors of “vocational master of education” using the interpretative structural model (ISM). The research results showed that the quality of postgraduates, recruitment plan and the number of graduated students are the direct influencing factors of the supply side of “vocational master of education”. Teaching with practices, dissertation, postgraduate management, employment policy and the actual recruitment are the necessary influencing factors. Training program and courses, faculty, basic environment, entrance examination, program promotion, professional direction and planned enrolment are the indirect influencing factors. The strategic environment, the profession of secondary vocational schools and the demand of teachers in these schools are the fundamental influencing factors. Therefore, when studying the supply side of “vocational master of education”, we analysed top-down with specific emphasis on its hierarchy to strengthen the synergy effect of the subject.
Evaluation of a Conceptualised Learning Design for the Development of Techno-Pedagogic Competencies among Pre-Service Teachers
Authors: Gosain Kritika , Rajendran M.
Published: May 2022

The present study aims to evaluate a conceptualised learning design for the growth of techno-pedagogic competencies among Pre-Service Teachers (PST). A teaching experiment is conducted for assessing the effectiveness of the conceptualised learning design by implementing it in a two-year teacher training programme for one year on 36 PST. The progress in the techno-pedagogic competencies’ growth is measured through the self-reporting rating scale, assessment of lesson activities prepared by the PST and semi-structured interview. The result of repeated measure ANOVA statistically signifies the growth of techno-pedagogic competencies amongst PST who participated in the teaching experiment. The assessment of lesson activities further illustrated the growth of techno-pedagogic competencies. PST also reported that they have learned new ways of integrating technology into teaching and have become a more confident user of computers.
The Cognitive Force Equations
Authors: Randles Theodore J. , Gardner Lisa A. , Allison Lee
Published: May 2022

The knowledge spectrum provides information about pragmatic knowledge types, which are placed on a spectrum based on their potential cognitive force. Based on the relationship between insight and Dretske’s three knowledge types, a conceptual framework for the equations is provided. These equations provide a shorthand method for determining the cognitive force of a specific pragmatic knowledge type. Together, the graphical and mathematical techniques of knowledge microanalysis, which is based on the knowledge chemistry approach, will be calibrated and refined. Two tools will be used to estimate cognitive force. These tools will enable organisations to develop models of their existing and proposed knowledge-intensive processes for analysis and refinement.
Dynamic Fracture Modeling of Impact Test Specimens by the Polygon Scaled Boundary Finite Element Method
Authors: Jiang Xinxin , Zhong Hong , Li Deyu , Chai Lulu
Published: May 2022

In the polygon scaled boundary finite element method, the modeling of crack can be simplified and the stress intensity factors are extracted from the semi-analytical solution directly. These salient features are applied to develop an efficient method to model the impact test specimens, one of which occurs without crack propagation, the other with crack propagation. The notched bend specimens are discretized by polygon elements with no local refinement around the crack tip. The mass and stiffness matrix of polygon elements are derived based on the SBFEM, and then the elastodynamic equations of the global system are established. The Newmark integration method is applied to obtain the dynamic responses of the specimens. For the case with crack propagation, an efficient local remeshing algorithm is used to track the crack tip and model the crack propagation. The dynamic stress intensity factors are computed directly from the instantaneous displacement field and crack velocity. The numerical results of the two specimens correspond well with the experimental data and other numerical results reported in the literature. The effects of the time step, mesh density and damping coefficient are also investigated. Moreover, the displacement and stress contours are extracted from the dynamic solution, which is helpful for the interpretation of the experimental observations.
New Numerical Approach for the Steady-State Navier–Stokes Equations with Corner Singularity
Authors: Rukavishnikov Alexey V. , Rukavishnikov Viktor A.
Published: May 2022

The steady-state nonlinear problem governing the Newtonian flow of an incompressible viscous fluid in convection form in L-shaped domain is considered. The solution as [Formula: see text]-generalized one in weighted sets is determined. Unlike the classical definition of the generalized solution in a weak formulation, which has a symmetric structure, our setting has an asymmetric one so that a special inf-sup condition in weighted sets is proved. A new weighted finite element scheme for an approximate [Formula: see text]-generalized solution is constructed. A converging iterative method to solve the sequence of linear problems with block preconditioning of their matrices is introduced. The results of numerical simulations of several tests have shown an advantage over the standard methods so that an approximate [Formula: see text]-generalized solution tends to the exact one with a rate almost twice in order exceed, relative to the grid step, than classical approaches. The result is achieved without using mesh refined in the neighborhood of a reentrant corner.
Trimethoxyphenyl-BODIPYs as probes for lysosome staining
Authors: Gierlich Piotr , Rodrigues Luís , Schaberle Fábio A. , Callaghan Susan , Gomes-da-Silva Lígia C. , Senge Mathias O.
Published: May 2022

BODIPYs have been extensively used for biological imaging owing to their high fluorescent quantum yields of stability toward photobleaching. In this work, zwitterionic groups were introduced into trimethoxyphenyl-BODIPY derivatives to improve their water-solubility. The impact of the substitution pattern of the methoxy groups in the phenyl motif and of the alkyl groups at different positions of the BODIPY core was also investigated. Three novel water-soluble trimethoxyphenyl-BODIPYs, herein designated as BDP-12, BDP-13 and BDP-14, were then evaluated as potential markers for lysosome staining. The highest fluorescence quantum yield and molar absorption coefficient were observed for BDP-12. Cellular uptake studies demonstrated that the three BODIPYs are rapidly internalized by cells. It was observed that 5 minutes of incubation time was sufficient to detect BODIPY-associated fluorescence in the treated cells. Cell internalization of the three molecules was inhibited by chloroquine and chlorpromazine, but not by genistein, which indicates that clathrin-mediated endocytosis is the main mechanism of internalization. The three trimethoxyphenyl-BODIPYs displayed excellent biocompatibility, even at high concentrations and in the presence of light. The three BODIPYs accumulate in the lysosomal compartments of live cells and the staining remains stable upon fixation with paraformaldehyde. Due to its optimal optical properties, BDP-12 is suggested as a promising candidate for cell imaging of lysosomes.
THE IMPORTANCE OF ABSORPTIVE CAPACITY IN TECHNOLOGY TRANSFER AND ORGANISATIONAL PERFORMANCE: A SYSTEMATIC REVIEW
Authors: DA SILVA FLORENCIO MARCIO NANNINI , DE OLIVEIRA ANTONIO MARTINS
Published: May 2022

Over the years, the literature on management has advanced in the understanding of the relationship between technology transfer, absorptive capacity and organisational performance. Nevertheless, to date, the number of studies investigating these relationships in a joint manner, showing how the result varies in different contexts, is still rare. This systematic literature review analyses the existing academic literature on the relationship between technology transfer, absorptive capacity and organisational performance by carrying out a bibliometric and qualitative analysis of the literature. The bibliometric analysis provided an overview of the literature, identifying the most prominent and influent journals, countries, institutions, authors and research methods, as well as intersections between the constructs and the temporal evolution of the publications. The qualitative analysis was employed in order to understand, systematise and assess the previous findings on the subjects. The results showed that absorptive capacity is an important factor for effective technology transfer, when taking into account international technology transfer, university-industry collaboration and inter-organisational transfer. The literature converges in indicating that both technology transfer and absorptive capacity have a positive impact on organisational performance, although some existing exceptions need to be considered. Finally, the study provides an agenda for future research based on contextual, methodological and theoretical gaps identified.
Vibro–Acoustic Analysis of the Strong Coupling System with an Elastically Restrained Rectangular Plate Backed by a Trapezoidal Cavity
Authors: Liao J. L. , Zhu H. C. , Hou J. X. , Yuan S. W.
Published: May 2022

The vibro–acoustic strong coupling problem between the panel and cavity widely exists in the industry. This paper developed a numerical method to study the natural characteristics and vibro–acoustic response of the strong coupling system with an elastically restrained rectangular plate backed by a trapezoidal cavity. The isoparametric transformation technique was used to normalize the trapezoidal cavity. The dynamical equations of the coupling system were derived using the energy principle and the Rayleigh–Ritz method with the Legendre polynomial series as trial functions. Then, the effects of structural boundary conditions and bevel angle on the natural frequencies of the system with the elastic plate on the top surface of the trapezoidal cavity were explored. The natural frequency increased with the number of structural support boundaries and the inclination angle of the trapezoidal cavity bevel. Besides, the steady-state response of the coupling system under different excitation conditions was investigated. Therefore, accurate prediction for steady-state response will provide ideas for noise control of the vibro–acoustic strong coupling problem.
Controllable Synthesis of α-Fe2O3 Nanocubes with Size-Dependent Optical Performance
Authors: Chen Lixia , Chen Qianqian , Xue Zhengyan , Liu Shanshan , Wang Shun , Xu Sankui
Published: May 2022

The design and controllable synthesis of semiconductors at the nanoscale level is a critical strategy for adjusting the performance of catalysts. In this work, size-controlled [Formula: see text]-Fe2O3 with nanocubic structure is fabricated through a simple solvothermal method. The growth process of cubic [Formula: see text]-Fe2O3 nanocrystals is investigated by time-dependent solvothermal reaction experiments, which displays a typical Oswald ripening mechanism: flower-like nucleation, followed by growing and ripening of nuclei into different morphologies and sizes during the solvothermal process. The UV–vis absorption results revealed that [Formula: see text]-Fe2O3 nanocubes present a size-dependent optical property. The [Formula: see text]-Fe2O3-10h with an average particle size of 37[Formula: see text]nm exhibits good crystallinity, large specific surface area and high UV–vis light absorption, subsequently resulting in the highest photocatalytic efficiency together with excellent stability.
HSP Datasets: Insights on Song Popularity Prediction
Authors: Vötter Michael , Mayerl Maximilian , Specht Günther , Zangerle Eva
Published: May 2022

Estimating the success of a song before its release is an important music industry task. This work uses audio descriptors to predict the success (popularity) of a song, where typical measures of success are chart measures such as peak position and streaming measures such as listener-count. Currently, a wide range of datasets is used for that purpose, but most of them are not publicly available; likewise, available datasets are restricted either in size, available features, or popularity measures. This substantially impedes the evaluation of the predictive power of a wide range of models. Therefore, we present two novel datasets called HSP-S and HSP-L based on data from AcousticBrainz, Billboard Hot 100, the Million Song Dataset, and last.fm. Both datasets contain audio features, mel-spectrograms as well as streaming listener- and play-counts. The larger HSP-L dataset contains 73,482 songs, whereas the smaller HSP-S dataset contains 7736 songs and additionally features Billboard Hot 100 chart measures. In contrast to the previous publicly available datasets, our datasets contain substantially more songs and richer and more diverse features. We solely utilize data from the public domain, allowing us to evaluate and compare a wide range of models on our datasets. To demonstrate the use of the datasets, we perform regression and classification (popular/unpopular) tasks on both datasets using a wide variety of models to predict song popularity for all provided target measures of success.
Supercontinuum fiber laser-based coherent anti-Stokes Raman scattering microscopy for label-free chemical imaging
Authors: Wang Nan , Zhang Jiaojiao , Zhou Wangting , Liu Siting , Li Jing , Xu Xinyi , Zeng Qi , Li Yong , Zhu Shouping , Chen Xueli
Published: May 2022

Coherent anti-Stokes Raman scattering (CARS) microscopy can resolve the chemical components and distribution of living biological systems in a label-free manner and is favored in several disciplines. Current CARS microscopes typically use bulky, high-performance solid-state lasers, which are expensive and sensitive to environmental changes. With their relatively low cost and environmental sensitivity, supercontinuum fiber (SF) lasers with a small footprint have found increasing use in biomedical applications. Upon these features, in this paper, we homebuilt a low-cost CARS microscope based on a SF laser module (scCARS microscope). This SF laser module is specially customized by adding a time-synchronized seed source channel to the SF laser to form a dual-channel output laser. The performance of the scCARS microscope is evaluated with dimethyl sulfoxide, whose results confirm a spatial resolution of better than 500[Formula: see text]nm and a detection sensitivity of millimolar concentrations. The dual-color imaging capability is further demonstrated by imaging different species of mixed microspheres. We finally explore the potential of our scCARS microscope by mapping lipid droplets in different cancer cells and corneal stromal lenses.
Total and Net-Directional Connectedness of Cryptocurrencies During the Pre- and Post-COVID-19 Pandemic
Authors: Ha Le Thanh , Dai Nguyen Van
Published: May 2022

This paper presents how volatility propagates through the cryptocurrency market. Our paper provides evidence for volatility connectedness on cryptocurrencies. The different econometric techniques, including the stochastic volatility (SVOL) model and time-varying parameter VAR models using a quasi-Bayesian local likelihood (QBLL), are applied to measure the volatility of the cryptocurrency market. Using high-frequency, intra-day data of the largest cryptocurrencies over 2018–2021, we detect the great volatility of the cryptocurrency market are the beginning of 2019, the beginning of 2020, and throughout the year of 2021. The total connectedness values suggest that the cryptocurrency market becomes volatile as the new strains of the COVID-19 appear at the end of 2021. However, by using directional connectedness, we reveal that there are negative and positive spillovers from a specific cryptocurrency to other cryptocurrencies. The great fluctuations in the period before the COVID-19 health crisis stem from the positive resonance (symmetric) between the volatility of each cryptocurrency, while this health crisis leads to substantially positive and negative spillovers (asymmetric) of cryptocurrencies, and this makes market volatility weaker than it actually is.
CIRCULAR ECONOMY AND DEFAULT RISK
Authors: ZARA CLAUDIO , RAMKUMAR SHYAAM
Published: May 2022

By decoupling economic growth from the exploitation of virgin raw materials and environmental degradation, as well as by developing practices more resilient to the economic cycle, Circular Economy (CE) offers effective hedging of linear risks and shields from the risk of stranded values. We tested this hypothesis focusing on default risk of a sample of 222 European circular issuers focused on manufacturing, construction, energy, metal and oil and gas industries. The time period considered is 2013–2018. The main explanatory variable is the Circularity Score, a brand-new indicator based on material variables pertinent to CE. Default risk is measured on PD values, corresponding to external rating classes, provided by Bloomberg. We found that issuers with a higher level of circularity confirm de-risking hypothesis at both short and long terms. Moreover, the contribution offered by circularity on de-risking is more relevant in the long-term analysis, ranking as third in relation to fourth in the short-term model.
Correlation between Clinical and Histopathological Diagnoses in Oral Cavity Lesions: A 12-Year Retrospective Study
Authors: Farzinnia Golnoush , Sasannia Mehdi , Torabi Shima , Rezazadeh Fahimeh , Ranjbaran Alireza , Azad Azita
Published: May 2022

Objective. Proper diagnosis plays a key role in the treatment and prognosis of all diseases. Although histopathological diagnosis is still known as the gold standard, final diagnosis becomes difficult unless precise clinical descriptions are obtained. So, this study aimed to evaluate the concordance of the clinical and histopathological diagnoses of all oral and maxillofacial biopsy specimens in a 12-year duration. Materials and Methods. Archive files and clinical findings related to 3001 patients who had been referred to the Department of Oral Pathology during a 12-year period were reviewed. The recorded information in files included age, sex, lesion’s location, clinical and histopathological diagnoses, and specialty of dentists. Results. Out of 3001 cases included and reviewed in this study, 2167 cases (72.2%) were consistent between clinical and histopathologic diagnoses. Age, sex, and clinician’s specialty were indicated to have no significant effect on diagnosis (p values = 0.520, 0.310, 0.281, respectively), but location and type of lesion affected that (p values = 0.040 and 0.022, respectively). In regard to location, the highest concordance of clinical and histopathologic diagnoses was observed in mouth floor lesions, and the lowest one was in gingival mucosa. In terms of lesion category, the highest and the lowest concordance rates belonged to white and red lesions and pigmented lesions, respectively. Conclusion. The results of the present study show that the consistency of clinical and histopathological diagnoses was three times more than their inconsistency, and the accuracy of the clinicians was largely acceptable.
Simulation Analysis of the Sound Transmission Loss of Composite Laminated Cylindrical Shells with Applied Acoustic Coverings
Authors: Li Bin , Ding Haoyang , Hu Zhigang , Zhao Junya , Qi Menghui , Wang Zhiyong
Published: May 2022

The noise reduction problem of composite laminated cylindrical shells at low and medium frequencies from 150 Hz to 1000 Hz is addressed by using the noise control method of laying acoustic coverings and conducting noise reduction experiments in a cylindrical shell cavity by laying melamine foam, sound-absorbing cotton, and multilayer combination materials and obtaining the corresponding transmission loss curves. Additionally, based on the LMS Virtual Lab acoustic simulation software, finite element models corresponding to the noise reduction experiments are established, and the acoustic cavity’s simple positive frequency and acoustic response of the cavity are numerically calculated. Based on this, the influence law for a laid acoustic cover layer on the sound transmission loss of a cylindrical shell is investigated. The results show that the noise reduction of sound-absorbing cotton with the same thickness is about 1.26 times that of melamine foam, and the noise reduction of melamine foam with the same mass is about 1.42 times that of sound-absorbing cotton. For multilayer laying, the noise reduction of adding the same thickness of butyl rubber is about 6.18 times that of melamine foam, and the larger the laying ratio is, the better the noise reduction effect will be.
Enhanced Repaired Enthesis Using Tenogenically Differentiated Adipose-Derived Stem Cells in a Murine Rotator Cuff Injury Model
Authors: Chen Yang , Xu Yan , Dai Guoyu , Shi Qiang , Duan Chunyue
Published: May 2022

Rotator cuff tear (RCT) is among the most common shoulder injuries and is prone to rerupture after surgery. Selecting suitable subpopulations of stem cells as a new specific cell type of mesenchymal stem cells has been increasingly used as a potential therapeutic tool in regenerative medicine. In this study, murine adipose-derived SSEA-4+CD90+PDGFRA+ subpopulation cells were successfully sorted, extracted, and identified. These cells showed good proliferation and differentiation potential, especially in the direction of tendon differentiation, as evidenced by qRT-PCR and immunofluorescence. Subsequently, we established a murine rotator cuff injury model and repaired it with subpopulation cells. Our results showed that the subpopulation cells embedded in a fibrin sealant significantly improved the histological score, as well as the biomechanical strength of the repaired tendon enthesis at four weeks after surgery, compared with the other groups. Hence, these findings indicated that the subpopulation of cells could augment the repaired enthesis and lead to better outcomes, thereby reducing the retear rate after rotator cuff repair. Our study provides a potential therapeutic strategy for rotator cuff healing in the future.
Capsule-Bag-Type Sealing Technology for Gas Drainage Boreholes and Its Application
Authors: Sun Xiaoyan , Li Ke , Wang Xin
Published: May 2022

In gas control, the quality of drilling and sealing plays a key role in the final effect of gas drainage. This paper first studies the mechanism of hole leakage and the stability of the hole sealing section. At the same time, the bag-type grouting hole sealing device and safety pressure limiting valve were developed, and a new grouting hole sealing method for gas extraction was put forward, which could exert active strong support on the hole sealing section. The grouting cement with a high flow state, early strength, good injection ability, and good microexpansibility was prepared by compounding the fast hard sulfoaluminate cement and ordinary Portland cement and adding the appropriate amount of admixture to stimulate its activity. Engineering practice shows that compared with the polyurethane hole sealing method, 97% of the total holes with gas extraction concentration above 60% are extracted by the new grouting hole sealing method under the same conditions. 47% of the total holes were extracted with a gas concentration above 60% in the polyurethane hole sealing method. This shows that the new grouting hole sealing method can keep the stability of the hole sealing section of the borehole, can evade the leakage channel around the borehole, and is beneficial to gas extraction.
[Retracted] The Anesthetic Effect and Safety of Dexmedetomidine in Cesarean Section: A Meta‐Analysis
Authors: Pang Gang , Zhu Yuanmao , Zhou Yan , Tong Shanshan
Published: May 2022

Objective. To evaluate the anesthetic effect and safety of dexmedetomidine in cesarean section. Methods. The Cochrane Library, EMBASE, and PubMed databases (established until September 2020) were searched by computer. Two authors independently screened and extracted literature related to the application of dexmedetomidine in the cesarean section according to inclusion and exclusion criteria. The control group received either subarachnoid block (lumbar anesthesia) or combined lumbar anesthesia and epidural anesthesia (combined lumbar epidural anesthesia) with bupivacaine or combined bupivacaine and fentanyl. The observation group was additionally given dexmedetomidine based on the control group, to analyze the anesthetic effect and safety of dexmedetomidine in cesarean section. Results. A total of 580 cesarean delivery women were included in 8 studies, and the results showed that the peak time of sensory block in the observation group was shorter than that in the control group (standard mean difference = −0.28; 95% confidence interval: ‐0.48, ‐0.08; P = 0.006), sensory block lasted longer than that in the control group (standard mean difference = 1.49; 95% confidence interval: 1.21, 1.78; P < 0.00001), the sedation rate was higher than that in the control group, the onset of the first postoperative pain was significantly delayed compared with that in the control group, and the incidence of postoperative pain, nausea and vomiting, postoperative chills, and fever was lower than that in the control group (P < 0.05). Conclusion. Dexmedetomidine combined with lumbar anesthesia or combined lumbar epidural anesthesia for women in cesarean section has more clinical benefits and better safety.
Feature Subset Selection with Optimal Adaptive Neuro-Fuzzy Systems for Bioinformatics Gene Expression Classification
Authors: Hilal Anwer Mustafa , Malibari Areej A. , Obayya Marwa , Alzahrani Jaber S. , Alamgeer Mohammad , Mohamed Abdullah , Motwakel Abdelwahed , Yaseen Ishfaq , Hamza Manar Ahmed , Zamani Abu Sarwar
Published: May 2022

Recently, bioinformatics and computational biology-enabled applications such as gene expression analysis, cellular restoration, medical image processing, protein structure examination, and medical data classification utilize fuzzy systems in offering effective solutions and decisions. The latest developments of fuzzy systems with artificial intelligence techniques enable to design the effective microarray gene expression classification models. In this aspect, this study introduces a novel feature subset selection with optimal adaptive neuro-fuzzy inference system (FSS-OANFIS) for gene expression classification. The major aim of the FSS-OANFIS model is to detect and classify the gene expression data. To accomplish this, the FSS-OANFIS model designs an improved grey wolf optimizer-based feature selection (IGWO-FS) model to derive an optimal subset of features. Besides, the OANFIS model is employed for gene classification and the parameter tuning of the ANFIS model is adjusted by the use of coyote optimization algorithm (COA). The application of IGWO-FS and COA techniques helps in accomplishing enhanced microarray gene expression classification outcomes. The experimental validation of the FSS-OANFIS model has been performed using Leukemia, Prostate, DLBCL Stanford, and Colon Cancer datasets. The proposed FSS-OANFIS model has resulted in a maximum classification accuracy of 89.47%.
Effects of Dietary Taurine on Growth, Body Composition, Blood Parameters, and Enzyme Activities of Juvenile Sterlet (Acipenser ruthenus)
Authors: Bavi Zeinab , Zakeri Mohammad , Mousavi Seyed Mohammad , Yavari Vahid
Published: May 2022

To evaluate the effects of dietary taurine on Acipenser ruthenus, a total of 180 fish with an initial weight of

14.13
±
0.10

 g, were stocked into 15 (300 liters) tanks (12 fish/replicate) for 70 days. Five experimental diets (38.60% crude protein and 18.78% crude lipid) supplemented with 0 (T0), 5 (T5), 15 (T15), 30 (T30), and 50 (T50) g/kg taurine were used. The experimental fish were fed to visual satiation four times daily. At the end of the experimental period, weight gain, thermal growth coefficient, and survival in fish fed T30 diet was higher (

P
<
0.05

) than other experimental fish. Food conversion ratio in all treatments containing taurine was significantly lower than T0 treatment (

P
<
0.05

). The highest and the lowest total essential amino acids of muscle were found in T50 and T0 treatments, respectively. The highest serum cholesterol and low-density lipoprotein levels were observed in the T30 treatment (

P
<
0.05

). An increasing trend was observed in the values of alanine aminotransferase, aspartate aminotransferase, and lactate dehydrogenase activities of serum from T0 to T30 treatments and the highest level was recorded in T30 (

P
<
0.05

). The highest lysozyme, trypsin, chymotrypsin, alkaline phosphatase, lipase, and amylase activities were also observed in T30. Catalase activity in T15 was higher than other treatments (

P
<
0.05

). Malondialdehyde activity in T0 was significantly higher than other experimental treatments (

P
<
0.05

). The highest total numbers of bacteria and lactic acid bacteria of the gut was recorded in T30 and T5, respectively. The overall results indicate that the T30 experimental diet induced the improvement of growth performance, hepatic, digestive, and antioxidant enzyme activities in A. ruthenus.
Preconditioning and Engineering Strategies for Improving the Efficacy of Mesenchymal Stem Cell-Derived Exosomes in Cell-Free Therapy
Authors: Chen Shenyuan , Sun Fengtian , Qian Hui , Xu Wenrong , Jiang Jiajia
Published: May 2022

Mesenchymal stem cells (MSCs) have been widely applied to regenerative medicine owing to their multiple differentiation, self-renewal, and immunomodulatory abilities. Exosomes are cell-secreted natural nanovesicles and thought to be mediators of intercellular communication and material transport. The therapeutic potential of MSCs can be largely attributed to MSC-derived exosomes (MSC-exosomes). Emerging evidence suggests that the therapeutic efficacy of MSC-exosomes is highly dependent on the status of MSCs, and optimization of the extracellular environment affects the exosomal content. Pretreatment methods including three-dimensional cultures, hypoxia, and other biochemical cues have been shown to potentially enhance the biological activity of MSC-exosomes while maintaining or enhancing their production. On the other hand, engineering means to enhance the desired function of MSC-exosomes has been rapidly gaining attention. In particular, biologically active molecule encapsulation and membrane modification can alter or enhance biological functions and targeting of MSC-exosomes. In this review, we summarize two possible strategies to improve the therapeutic activity of MSC-exosomes: preconditioning approaches and engineering exosomes. We also explore the underlying mechanisms of different strategies and discuss their advantages and limitations of the upcoming clinical applications.
Two Dimensional Descriptors Based on Degree, Neighborhood Degree, and Reverse Degree for HEX (Hexagonal) Lattice
Authors: Razzaque Asima , Noor Saima , Kanwal Salma , Saeed Saadia
Published: May 2022

Crystal structures are of great scrutiny due to the elegant and well‐ordered symmetry that influences a significant role in determining numerous physical properties. Our aim is to perceive the role of topological descriptors in the field of crystallography using chemical graph theory to examine symmetrical crystal structure HEX. Simple hexagonal (HEX) is a crystal structure formed by arranging the same layer of atoms in a hexagon with one additional atom at the center. Chemical graph theory allows us to study a variety of molecular structures via graphical representation where each atom is denoted as a vertex and the bond form between them is defined as edge. In this research work, we compute the general Randi index, atom bond connectivity index, geometric arithmetic index, first and second Zagreb indices. Furthermore, we will compute their neighborhood and reverse degree‐based versions and visualize which descriptor stands high in accordance with its numerical value.
Nodular Lymphoid Hyperplasia as Incidental Finding of Suspect Pulmonary Mass
Authors: Reuter Hannes , Reuter Stefan
Published: May 2022

Nodular lymphoid hyperplasia of the lung is a rare disease of polyclonal lymphoid proliferation. The incidental finding of a solid nodular lesion with irregular margins adjacent to the visceral pleura in the reported case was highly suggestive of malignancy. The present report underscores the typical immunohistochemical findings and the benign course of nodular lymphoid hyperplasia. The current knowledge about disease aetiology and the value of different diagnostic tools to distinguish nodular lymphoid hyperplasia from other pulmonary lymphoid lesions are summarized by a review of the literature. Surgical resection is not only diagnostic but also curative with no evidence so far that NLH can regress without operation. The present case shows the spontaneous regression of NLH after CT-guided biopsy indicating that an alternative, less invasive diagnostic approach has curative potential.
Clinical Value of Preoperative Ultrasound Signs in Evaluating Axillary Lymph Node Status in Triple-Negative Breast Cancer
Authors: Wang Jundong , Lu Xiaoli , Zheng Xuan , Xia Congyan , Li Ping
Published: May 2022

Purpose. To explore the clinical value of preoperative ultrasound signs in evaluating axillary lymph node status in triple-negative breast cancer (TNBC). Methods. A retrospective study was conducted on 162 patients with TNBC who were admitted to our hospital from January 2017 to June 2021. A total of 62 patients with axillary lymph node metastasis and 100 patients with normal axillary lymph nodes were included. Univariate and logistic regression was used to analyze the correlation between clinicopathological parameters, ultrasound features, and axillary lymph node metastasis between these two groups. The receiver operating characteristic (ROC) curve of each index was drawn to predict positive axillary lymph node. Results. The lymph node positive rate was higher in patients with tumor size (

2
 
mm
<
T
≤
5
 
mm

) and tumor stage III, and the difference between these two groups was statistically significant (

P
<
0.05

). The patients with

cortical
 
thickness
≥
3

, blood flow grades II-III,

aspect
 
ratio
 

L
/
S

≥
2

, and

RI
≥
0.7

had higher lymph node positive rate, and the difference between these two groups was statistically significant (

P
<
0.05

). Other index shows no correlation with ancillary lymph node positive rate, or the correlation was not statistically significant (

P
>
0.05

). Further regression analysis indicated that the blood flow grade and L/S of axillary lymph nodes were independent influencing factors of axillary lymph node metastasis in TNBC patients (

P
<
0.05

). Relevant receiver operating characteristic (ROC) curves were constructed, and the AUC of axillary lymph node blood flow grade and L/S for predicting axillary lymph node status was 0.6329 and 0.6498, respectively. The AUC for the joint prediction of the two indicators is 0.6898. Conclusion. Ultrasound sign combined with clinicopathological characteristics can predict the axillary lymph nodes metastasis in TNBC, which could guide clinical decision of axillary lymph node surgery.
Machine Learning-Based Emotion Factor Analysis of Sport Fan Community
Authors: Guo Hengchuan , Liu Baoluo , Yang Zhen
Published: May 2022

Football is one of the most popular sports in the world. As the popularity of football continues to grow worldwide, so does the number of incidents of violence on the pitch. Today, doping, match fixing, black whistles, and football hooliganism are ranked as the four most toxic aspects of sport. How to study the factors that cause aggressive behaviour of fans from a psychological perspective has become a key issue in the field of sports. Therefore, this study proposes a method for mining the psychological factors of sport fan community members based on machine learning clustering. Firstly, three different members of a large fan community, i.e., university students, office workers, and unemployed people, are used as research subjects to investigate the psychological factors influencing fans’ aggressive behaviour using a questionnaire method. Secondly, the data obtained were mined and analysed using the K-means clustering algorithm in machine learning techniques. At the same time, a K-means initial clustering centre optimization algorithm based on principal component analysis (PCA) was proposed for the data characteristics of the interaction of psychological factors. The results show that the new algorithm significantly improves the quality of clustering compared with other optimization algorithms and accurately identifies the multiple factors that contribute to the occurrence of fan attacks.
[Retracted] An Empirical Study on the Influencing Factors of the Returning Intention of Overseas Talents
Authors: Liu Liu , Tian Fan
Published: May 2022

Many scholars have carried out a large number of studies on the factors influencing the intention of returning overseas talents based on different theories. This study integrates two theoretical perspectives at macro and individual levels, puts forward a new theoretical framework for analyzing the intention of returning overseas talents, and constructs a theoretical model including the intention of returning overseas talents, talent ecological environment of the host country, prospect expectation of home country, talent growth expectation, and perceived opportunity. Based on 302 survey samples, we used correlation analysis, confirmatory factor analysis, structural equation, and other methods, and the results show that four variables, including talent ecological environment of the host country, prospect expectation of home country, talent growth expectation, and perceived opportunity, have a significant impact on the intention of returning overseas talents. The research also found that talent growth expectation and perceived opportunity had mediating effects, and the prospect expectation and perceived opportunity of origin had moderating effects, which provides a new research idea for the research on the factors influencing the return intention of overseas talents.
Multipoint BVP for the Langevin Equation under
φ
-Hilfer Fractional Operator
Authors: Almalahi Mohammed A. , Panchal Satish K. , Jarad Fahd
Published: May 2022

In this research paper, we consider a class of boundary value problems for a nonlinear Langevin equation involving two generalized Hilfer fractional derivatives supplemented with nonlocal integral and infinite-point boundary conditions. At first, we derive the equivalent solution to the proposed problem at hand by relying on the results and properties of the generalized fractional calculus. Next, we investigate and develop sufficient conditions for the existence and uniqueness of solutions by means of semigroups of operator approach and the Krasnoselskii fixed point theorems as well as Banach contraction principle. Moreover, by means of Gronwall’s inequality lemma and mathematical techniques, we analyze Ulam-Hyers and Ulam-Hyers-Rassias stability results. Eventually, we construct an illustrative example in order to show the applicability of key results.