Comprehensive precursor anomaly research based on earthquake corresponding relevancy spectrum

With the aim to the quantification of anomaly identification and extraction for observed or analyzed records, we present two statistical methods of earthquake corresponding relevancy spectrum （ECRS） and sliding mean relevancy （SMR）. With ECRS method, we can obtain the abnormal confidence attribute of data in different value ranges. Based on the relevancy spectrum in different studied time-intervals, we convert the original time sequence into relevancy time sequence, and can obtain the SMR time series by using the multi-point cumulative sliding mean method. Then we can identify the seismic precursor anomaly. We test this method by taking the time sequence of r/-value in the northern Tianshan region as original data. The result shows that when the studied time-interval is 18 months, the precursor anomaly can be identified bet- ter from sliding mean relevancy. The anomaly corresponding rate is 83 percent, the earthquake corresponding rate is 86 per- cent, and the anomaly is characteristic of the middle term. To try the research on multi-parameter comprehensive application, we take the Kalpin tectonic block in Xinjiang as our studied region, and analyze the spatial and temporal abnormal characters of multi-parameter sliding extreme-value relevancy （MSER） before mid-strong earthquakes in the Kalpin block. The result indicates that ECRS and SMR sequence in different time-intervals can not only be used to identify the precursor anomaly of single-item data, but also offer the data of quantitative single-item anomaly for comprehensive earthquake analysis and prediction.

Grey Relevancy Degree and Improved Eight-Direction Sobel Operator Edge Detection

Edge detection is an important aspect to improve image edge quality in image processing. The purpose of edge detection is to identify the points in digital images with great brightness variation. However, the accuracy of traditional edge detection methods in edge extraction is low. For the actual image, the grey edge is sometimes not very clear, the image also contains noise. The detection result of the traditional Sobel operator is relatively accurate, but the detection result is rough and sensitive to noise. To solve the above problems, this paper proposes an improved eight-direction Sobel operator based on grey relevancy degree, which combines 5 × 5 Sobel operator with a grey relational degree and a new eight-direction grey relevancy method. The results show that this method can detect the useful information of edge more accurately and improve the anti-noise performance. However, the drawback is that the algorithm is not automatic.

Empirical Study on Relevancy of Mandatory and Voluntary Accounting Changes—Based on Chinese Listed Companies in 1999 and 2001＂

Based on the samples of mandatory accounting changes （MAC） and voluntary accounting changes （VAC） of our country in 1999 and 2001, this research explores the relevancy between MAC and VAC and its specific performance. The results of this research are shown as follows： （1） The timing relationship exists between MAC and VAC, and the frequency of VAC rises significantly in MAC year; （2） The relevancy exists in the earnings effects between MAC and VAC, and the combined effects which MAC and VAC have on earnings are in direct correlation with the earnings effects of MAC in the same year; （3） The supervisory factors of the securities market together with MAC influence the direction of VAC. Different from Pincus and Wasley＇s conclusion, when MAC is used to decrease profits, the part of VAC in our country counterbalances the effots of MAC; the listed companies with a special purpose will be against the direction of MAC and apply to VAC with a particular purpose.

Contribution and Relevance of Transfontanellar Ultrasound in Newborns in Ouagadougou: Multicentre Study on 1000 Cases

Objectives: To demonstrate the contribution and relevance of ETFs through the study of 1000 examination reports carried out in the medical imaging departments of the OUAGADOUGOU CHU. Material and method: Analytical descriptive study with retrospective collection, extended from 1st January 2020 to 1st January 2022. Results: Of the 1000 transfontanellar ultrasound reports, the mean age of patients was 7.61 +/ 7.5 days, with extremes of zero and 28 days. Sex was specified in 989 cases. Males accounted for 54.49% and females for 45.51%. 555 transfontanellar ultrasound were performed in 2020. 441 in 2021 and 4 in 2022. 61.9% of transfontanellar ultrasound were performed at the Bogodogo University Hospital, 205 at Charles de Gaulle and 176 at Tengandogo. Indications for transfontanellar ultrasound were dominated by neonatal distress (65.8%), followed by convulsions (10.2%) and prematurity (9.1%). Transfontanellar ultrasound was normal in 570 cases (57%) and abnormal in 430 cases (43%). Abnormalities were dominated by haemorrhage and ischaemic lesions in 66.28% (285) and 21.63% (93) of cases respectively. In the group of normal transfontanellar ultrasound, neonatal distress represented 59.65% of indications and prematurity 10.7% of indications. As for abnormal transfontanellar ultrasound, neonatal suffering accounted for 73.95% of indications and convulsions for 12.56%. The average age ofpatients with an abnormal transfontanellar ultrasound was 8.74 days +/ 7.89 days. The indication for investigations was relevant in 42.2% of cases and irrelevant in 57.8%;of the transfontanellar ultrasound with relevant indications, 0.71 were normal and 99.29 abnormal;of the transfontanellar ultrasound with irrelevant indications, the transfontanellar ultrasound was normal in 98.1% and abnormal in 1.9%. Conclusion: Transfontanellar ultrasound is an important part of ultrasound in current practice. Haemorrhage, anoxic-ischaemic lesions and hydrocephalus are the most frequent pathologies found by this technique in newborns. Whether or not the examinations were normal depended on the appropriateness of the prescription.

High rate of clinically relevant improvement following anatomical total shoulder arthroplasty for glenohumeral osteoarthritis

BACKGROUND The minimal clinically important difference(MCID)is defined as the smallest meaningful change in a health domain that a patient would identify as important.Thus,an improvement that exceeds the MCID can be used to define a successful treatment for the individual patient.AIM To quantify the rate of clinical improvement following anatomical total shoulder arthroplasty for glenohumeral osteoarthritis.METHODS Patients were treated with the Global Unite total shoulder platform arthroplasty between March 2017 and February 2019 at Herlev and Gentofte Hospital,Denmark.The patients were evaluated preoperatively and 3 months,6 months,12 months,and 24 months postoperatively using the Western Ontario Osteoarthritis of the Shoulder index(WOOS),Oxford Shoulder Score(OSS)and Constant-Murley Score(CMS).The rate of clinically relevant improvement was defined as the proportion of patients who had an improvement 24 months postoperatively that exceeded the MCID.Based on previous literature,MCID for WOOS,OSS,and CMS were defined as 12.3,4.3,and 12.8 respectively.RESULTS Forty-nine patients with a Global Unite total shoulder platform arthroplasty were included for the final analysis.Mean age at the time of surgery was 66 years(range 49.0-79.0,SD:8.3)and 65%were women.One patient was revised within the two years follow-up.The mean improvement from the preoperative assessment to the two-year follow-up was 46.1 points[95%confidence interval(95%CI):39.7-53.3,P<0.005]for WOOS,18.2 points(95%CI:15.5-21.0,P<0.005)for OSS and 37.8 points(95%CI:31.5-44.0,P<0.005)for CMS.Two years postoperatively,41 patients(87%)had an improvement in WOOS that exceeded the MCID,45 patients(94%)had an improvement in OSS that exceeded the MCID,and 42 patients(88%)had an improvement in CMS that exceeded the MCID.CONCLUSION Based on three shoulder-specific outcome measures we find that approximately 90%of patients has a clinically relevant improvement.This is a clear message when informing patients about their prognosis.

Application Analysis of Nursing Students'Grades in Course Relevance Based on Association Rule Mining Algorithm Apriori

By analyzing the correlation between courses in students’grades,we can provide a decision-making basis for the revision of courses and syllabi,rationally optimize courses,and further improve teaching effects.With the help of IBM SPSS Modeler data mining software,this paper uses Apriori algorithm for association rule mining to conduct an in-depth analysis of the grades of nursing students in Shandong College of Traditional Chinese Medicine,and to explore the correlation between professional basic courses and professional core courses.Lastly,according to the detailed analysis of the mining results,valuable curriculum information will be found from the actual teaching data.

Role of immune relevant factors in regenerative processes of bone tissue: a bibliometric and visualized analysis

Background:There is a deficiency of bibliometric and visually represented analysis in research on the immunological related variables involved in bone tissue regeneration.Using bibliometric and visual analysis,this study sought to thoroughly examine the hotspots and future directions in the investigation of immunological important variables in bone tissue regeneration.Methods:The Web of Science Core Collection(WoSCC)database was searched and a collection of published works on the subject of immunological related factors in bone tissue regeneration between 2000 and 2021 was generated.The data chosen from the WoSCC were then subjected to a systematic bibliometric and visualized analysis using the online bibliometric analytics system,Apache ECharts,VOSviewer,Bibliographic Items Co-occurrence Matrix Builder 2.0,and Gcluto 1.0.Results:For this investigation,1,088 publications on the involvement of immune related components in bone tissue regeneration were chosen.Between 2000 and 2021,China maintained its supremacy in global research on the function of immune related components in bone tissue regeneration.Shanghai Jiao Tong University is the most productive institution.Biomaterials has published the most publications on the involvement of immune-related components in bone tissue regeneration.Xiao Y,Schmidt-Bleek K,and Ignatius A all played important roles in the study of immune-related variables in bone tissue regeneration.Research on the role of immune relevant factors in bone tissue regeneration has identified five hotspots:(1)macrophage-based immunomodulation on osteogenesis of mesenchymal stem cells(MSCs);(2)biomaterials for bone repair in bone tissue engineering;(3)osteoimmunomodulation mediated by inflammation and macrophages during bone healing;(4)osteoimmunomodulation in angiogenesis during bone regeneration;and(5)the effect of macrophage polarization regulated by bone tissue engineering on osteogenic differentiation of MSCs as bone tissue.Conclusion:This study represents the first-ever bibliometric and visualized examination of how immune factors contribute to bone tissue regeneration.The focus and forthcoming direction in bone regeneration research will be on macrophage-driven immunomodulation in the process of bone regeneration.

Estimation of illumination chromaticity via adaptive reduced relevance vector machine

A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy. Within the framework of sparse Bayesian learning, the algorithm extends the relevance vector machine by combining global and local kernels adaptively in the form of multiple kernels, and the improved locality preserving projection （LLP） is then applied to reduce the column dimension of the multiple kernel input matrix to achieve less training time. To estimate the illumination chromaticity, the algorithm is trained by fuzzy central values of chromaticity histograms of a set of images and the corresponding illuminants. Experiments with real images indicate that the proposed algorithm performs better than the support vector machine and the relevance vector machine while requiring less training time than the relevance vector machine.

NEW METHOD FOR WHITE BLOOD CELL DETECTION BASED ON RELEVANCE VECTOR MACHINE

A new method for the white blood cell （WBC） detection is presented based on the relevance vector machine （RVM）. Firstly,the sparse relevance vectors （RVs） are obtained while fitting the 1-D histogram by RVM. Then,the needed threshold value is directly selected from these limited RVs. Finally,the entire connective WBC regions are segmented from the original image. The method is used for the WBC detection. It reduces the interference induced by the illumination and the staining. It has advantages of the high computation efficiency and the no extra parameter setting. Experimental results demonstrate good performances of the method.

Online composite shape recognition based on relevance feedback

This paper describes a novel method of online composite shape recognition interms of the relevance feedback technology to capture a user's intentions incrementally, and adynamic user modeling method to adapt to various users' styles. First, the relevance feedback isadapted to refine the recognition results and reduce the ambiguity incrementally based on theestablishment of a feature-based vector model of a user's sketches. Secondly, a dynamic usermodeling is introduced to model the user's sketching habits based on recording and analyzinghistorical information incrementally. A model-based matching strategy is also employed in the methodto recognize sketches dynamically. Experiments prove that the proposed method is both effective andefficient.

Relevant theoretic account of humor in sketches

Based on the relevant theory, this paper makes an analysis of humor in Chinese popular art form --sketch. It is believed that the maximal relevance and the optimal relevance of utterances, explicature and implicature of utterances, and the efforts made by hearers in dealing with utterances are three important aspects in showing humorous effects in sketches, among which sketch actors＇ violating the mutual cognitive environment so as to create an unexpected effect on hearers is the core in creating humor in sketches. Through analyzing some excerpts from the sketch Yesterday.Today.Tomorrow, the author tries to explore the relevance nature of language in sketch and creation of humor in it.

Beyond statistical significance:Embracing minimal clinically important difference for better patient care

The minimal clinically important difference(MCID)represents a pivotal metric in bridging the gap between statistical significance and clinical relevance,addressing the direct impact of medical interventions from the patient's perspective.This comprehensive review analyzes the evolution,applications,and challenges of MCID across medical specialties,emphasizing its necessity in ensuring that clinical outcomes not only demonstrate statistical significance but also offer genuine clinical utility that aligns with patient expectations and needs.We discuss the evolution of MCID since its inception in the 1980s,its current applications across various medical specialties,and the methodologies used in its calculation,highlighting both anchor-based and distribution-based approaches.Furthermore,the paper delves into the challenges associated with the application of MCID,such as methodological variability and the interpretation difficulties that arise in clinical settings.Recommendations for the future include standardizing MCID calculation methods,enhancing patient involvement in setting MCID thresholds,and extending research to incorporate diverse global perspectives.These steps are critical to refining the role of MCID in patient-centered healthcare,addressing existing gaps in methodology and interpretation,and ensuring that medical interventions lead to significant,patient-perceived improvements.

To Split or to Unify?-A Comparative Study on Functional Equivalence Translation Theory and Relevance Translation Theory

Functional equivalence,a focus in the translation studies,has been bombarded with numerous criticisms.Meanwhile,relevance translation theory,proposed by Ernst-August Gutt,offers a united theoretical framework for translation studies.The development of the translation theories does not rely on the appearance of a brand-new theory,but on the successful connection among various theories.To split or to unify,it is a question and it will direct the further development of translation studies.Analyzing the similarities and differences between these two theories,the author are striving for a unity of them and striking a better way to approach translation studies.

Understanding advertisements from the perspective of relevance theory

This paper approaches advertisements on the basis of relevant theory. It elaborates how the advertiser as addresser in communication succeed in conveying his intention for publicity and how the recipient as addressee takes advantage of different types of relevant devices in reasoning out the communicative purposes from four different angles, namely, non-stereotypical interpretation of advertisements, psychological requirements of the recipient as addressee in advertisements, advertisements as explicit information and the situational approach to implicit meanings of advertisements. It aims at providing guidance for advertisement planning and translation by means of the exposure of rules underlying advertisements.

A Theoretic Study on the Translation Model from Relevance Theory

Relevance Theory holds that the language communication of human beings is an ostensive-inferential process of searching for relevance.Translation as a communication across language and culture,involves a dual process of communication among the source language author,the translator and the target language readers,during which the translator infers the communicative intention of the source language author,then by assessing the cognitive environments of the target language readers,makes the optimally relevant translation so that the translation can be equivalent in relevant aspects.

The Relevance between the Ego and the Other——a Theoretical Account of Relevance in Translation

This paper focuses on the notion of relevance in translation,aiming to clarify the cognitive motivation of translation,which can serve as an account of relevance in translation.

Relevance theory: the Cognitive Pragmatic Foundation of Code-switching

The paper will discuss the process of code-switching and its cognitive pragmatic motivation from the point of relevance.And code-switching is also regarded as a kind of communicative strategy.The process of the production of code-switching is also the cooperation and mutual constrain of communicator’s cognitive environment and ability.Cognitive effect can be obtained through communicator’s processing cognitive environment with their cognitive ability.In this process,the cooperation of cognitive ability and cognitive environment gives a guarantee to successful communication with code-switching.

Study on C-E Translation of Advertisements Based on Relevance Theory

The main errors in translating Chinese advertisements into English are pragmatic failures in which target-language readers fail to find the optimal relevance between the target text and source text.The translation strategies proposed under the guidance of Relevance Theory can effectively help translators find out optimal relevance in the process of translating Chinese advertisements into English to avoid pragmatic failures.

Relevance-driven Pragmatic Inferences

Relevance theory, an inferential approach to pragmatics, claims that the hearer is expected to pick out the input of optimal relevance from a mass of alternative inputs produced by the speaker in order to interpret the speaker's intentions. The degree of the relevance of an input can be assessed in terms of cognitive effects and the processing effort. The input of optimal relevance is the one yielding the greatest positive cognitive effect and requiring the least processing effort. This paper attempts to assess the degrees of the relevance of a mass of alternative inputs produced by an imaginary speaker from the perspective of her corresponding hearer in terms of cognitive effects and the processing effort with a view to justifying the feasibility of the principle of relevance in pragmatic inferences.