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.

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.

Relevant Visual Semantic Context-Aware Attention-Based Dialog

The existing dataset for visual dialog comprises multiple rounds of questions and a diverse range of image contents.However,it faces challenges in overcoming visual semantic limitations,particularly in obtaining sufficient context from visual and textual aspects of images.This paper proposes a new visual dialog dataset called Diverse History-Dialog(DS-Dialog)to address the visual semantic limitations faced by the existing dataset.DS-Dialog groups relevant histories based on their respective Microsoft Common Objects in Context(MSCOCO)image categories and consolidates them for each image.Specifically,each MSCOCO image category consists of top relevant histories extracted based on their semantic relationships between the original image caption and historical context.These relevant histories are consolidated for each image,and DS-Dialog enhances the current dataset by adding new context-aware relevant history to provide more visual semantic context for each image.The new dataset is generated through several stages,including image semantic feature extraction,keyphrase extraction,relevant question extraction,and relevant history dialog generation.The DS-Dialog dataset contains about 2.6 million question-answer pairs,where 1.3 million pairs correspond to existing VisDial’s question-answer pairs,and the remaining 1.3 million pairs include a maximum of 5 image features for each VisDial image,with each image comprising 10-round relevant question-answer pairs.Moreover,a novel adaptive relevant history selection is proposed to resolve missing visual semantic information for each image.DS-Dialog is used to benchmark the performance of previous visual dialog models and achieves better performance than previous models.Specifically,the proposed DSDialog model achieves an 8% higher mean reciprocal rank(MRR),11% higher R@1%,6% higher R@5%,5% higher R@10%,and 8% higher normalized discounted cumulative gain(NDCG)compared to LF.DS-Dialog also achieves approximately 1 point improvement on R@k,mean,MRR,and NDCG compared to the original RVA,and 2 points improvement compared to LF andDualVD.These results demonstrates the importance of the relevant semantic historical context in enhancing the visual semantic relationship between textual and visual representations of the images and questions.

Sustainability Evaluation of Mangrove Forest Management System of Tagbanua Tribe in Bgy. Manalo, Puerto Princesa City, Palawan, Philippines

Community-based forest management agreement in the country is a needed instrument in attaining sustainability of mangrove management.Sadly,there is no assurance that the system implemented in the mangrove forest management is sustainable.So,evaluating the mangrove management sustainability of the local tribe is a viable avenue for the appropriate management.In this study,the sustainability of the mangrove management system of the Tagbanua tribe in Bgy.Manalo,Puerto Princesa City,Palawan was evaluated.The study utilized various criteria with relevant indicators of sustainable mangrove forest management in assessing the mangrove forest management system.Focused group discussions were conducted to identify the relevant sustainable mangrove forest management C&I and verifiers.Each indicator was rated using the formulated verifiers in the form of the rating scale.Through household interviews,FGD,KII,mangrove assessment,and secondary data analysis,this study also used a mathematical model on the Sustainability Index for Individual Criteria(SIIC)to evaluate the scores for individual criteria and the Overall Sustainability Index(OSI)of the community.As a result,there are a total of seven relevant criteria,and 35 relevant indicators for Mangrove Management in Barangay Manalo.Based on the individual rating of seven criteria,the overall rating of the sustainable mangrove management system is 1.80,which implies a fairly sustainable mangrove management system.Also,the computed overall sustainability index is 0.26,which is fairly or moderately sustainable.Each criterion has strengths and weaknesses and needs to be improved to have a highly sustainable mangrove management system.

Improving the Effectiveness of Image Classification Structural Methods by Compressing the Description According to the Information Content Criterion

The research aims to improve the performance of image recognition methods based on a description in the form of a set of keypoint descriptors.The main focus is on increasing the speed of establishing the relevance of object and etalon descriptions while maintaining the required level of classification efficiency.The class to be recognized is represented by an infinite set of images obtained from the etalon by applying arbitrary geometric transformations.It is proposed to reduce the descriptions for the etalon database by selecting the most significant descriptor components according to the information content criterion.The informativeness of an etalon descriptor is estimated by the difference of the closest distances to its own and other descriptions.The developed method determines the relevance of the full description of the recognized object with the reduced description of the etalons.Several practical models of the classifier with different options for establishing the correspondence between object descriptors and etalons are considered.The results of the experimental modeling of the proposed methods for a database including images of museum jewelry are presented.The test sample is formed as a set of images from the etalon database and out of the database with the application of geometric transformations of scale and rotation in the field of view.The practical problems of determining the threshold for the number of votes,based on which a classification decision is made,have been researched.Modeling has revealed the practical possibility of tenfold reducing descriptions with full preservation of classification accuracy.Reducing the descriptions by twenty times in the experiment leads to slightly decreased accuracy.The speed of the analysis increases in proportion to the degree of reduction.The use of reduction by the informativeness criterion confirmed the possibility of obtaining the most significant subset of features for classification,which guarantees a decent level of accuracy.

Integration system research and development for three-dimensional laser scanning information visualization in goaf

An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.

Correlation of preoperative inflammatory factors and emotional disorders with postoperative delirium in patients with craniocerebral trauma

BACKGROUND Traumatic brain injury(TBI)imposes a substantial societal and familial burden due to its high disability and fatality rates,rendering it a serious public health problem.Some patients with TBI have poor treatment outcomes and are prone to postoperative delirium(POD),which affects their quality of life.Anxiety has been linked to increased POD incidence in some studies,while others have found no correlation.AIM To investigate the correlation of POD risk factors,preoperative inflammatory factors,and mood disorders in patients with TBI.METHODS We retrospectively collected data on the treatment of 80 patients with TBI from November 2021 to September 2023.Patients were grouped as POD and non-POD,according to their POD status,and the general data of the two groups were compared.Inflammatory factor levels were detected preoperatively,and the Hamilton Depression Scale(HAMD)and Hamilton Anxiety Scale(HAMA)were used to investigate the risk factors associated with POD in these patients.Logistic regression was used to identify the independent risk factors.RESULTS Twenty-one patients(26.25%)developed POD,including 7,10,and 4 cases of the excitatory,inhibitory,and mixed types,respectively.There were 59 cases(73.75%)in the non-POD group.Compared with the non-POD group,the POD group had a significantly higher proportion of patients with low Glasgow Coma Scale(GCS)scores before admission,unilateral mydriasis,preoperative hemorrhagic shock,intraventricular hemorrhage(IVH),and postoperative hyperglycemic hyperosmolar disease(P<0.05).In the POD group,interleukin-6(IL-6),human tumor necrosis factor-α(TNF-α),myeloperoxidase levels,HAMA,and HAMD scores were higher than those in the non-POD group(all P<0.05).Logistic multivariate analysis showed that GCS score at admission,IVH,IL-6,TNF-α,HAMA,and HAMD were independent risk factors for POD in patients with TBI(P<0.05).CONCLUSION Low GCS score at admission,IVH,elevated IL-6 and TNF-α,other inflammatory indicators,anxiety,and depression,can increase the risk of POD in patients with TBI after surgery.

Correlation between psychological traits and the use of smart medical services in young and middle-aged adults: An observational study

BACKGROUND Psychological problems affect economic development.However,there is a huge gap between mental health service resources and mental health service needs.Existing mental health service technology and platforms cannot meet all the diverse mental health needs of people.Smart medicine is a new medical system based online that can effectively improve the quality and efficiency of medical services and make mental health services accessible.AIM To explore the level of intelligent medical use among young and middle-aged people and its correlation with psychological factors.METHODS Convenience sampling was used to select 200 young and middle-aged patients with medical experience at the Third People's Hospital of Chengdu between January 2022 and January 2023 as the research subjects.The general condition Questionnaire,Eysenck Personality Questionnaire,Symptom Checklist-90,General Health Questionnaire,and Smart Medical Service Use Intention Questionnaire were used to collect data.Pearson’s correlation was used to analyze the correlation between the participants’willingness to use smart medical services and their personality characteristics,psychological symptoms,and mental health.RESULTS The results revealed that the mental health of young and middle-aged people was poor,and some had psycho-logical problems such as anxiety,depression,and physical discomfort.Familiarity,acceptance,and usage of smart healthcare in this population are at a medium level,and these levels correlate with psychological characteristics.Acceptance was positively correlated with E,and negatively correlated with P,anxiety,fear,anxiety/insomnia,and social dysfunction.The degree of use was negatively correlated with P,obsessive-compulsive symptoms,depression,anxiety,hostility,paranoia,and somatic symptoms.CONCLUSION The familiarity,acceptance,and usage of smart medical services among the middle-aged and young groups are related to various psychological characteristics.

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.

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.

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.

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.

Query Expansion Based on Semantics and Statistics in Chinese Question Answering System

In Chinese question answering system, because there is more semantic relation in questions than that in query words, the precision can be improved by expanding query while using natural language questions to retrieve documents. This paper proposes a new approach to query expansion based on semantics and statistics Firstly automatic relevance feedback method is used to generate a candidate expansion word set. Then the expanded query words are selected from the set based on the semantic similarity and seman- tic relevancy between the candidate words and the original words. Experiments show the new approach is effective for Web retrieval and out-performs the conventional expansion approaches.

Role of mitochondria in regulating micro RNA activity and its relevance to the central nervous system

Mitochondria serve as the powerhouse of cells,respond to cellular demands and stressors,and play an essential role in cell signaling,differentiation,and survival.Aberrant mitochondria function has been linked to diverse and complex human diseases such as neurodegenerative diseases,cancers,myopathies,premature aging,and metabolic syndromes（Nunnari and Suomalainen,2012）.

User’s Relevance of PIR System Based on Cloud Models

A new method to evaluate fuzzily user＇s relevance on the basis of cloud models has been proposed. All factors of personalized information retrieval system are taken into account in this method. So using this method for personalized information retrieval （PIR） system can efficiently judge multi-value relevance, such as quite relevant, comparatively relevant, commonly relevant, basically relevant and completely non-relevant, and realize a kind of transform of qualitative concepts and quantity and improve accuracy of relevance judgements in PIR system. Experimental data showed that the method is practical and valid. Evaluation results are more accurate and approach to the fact better.

Accounting Objectives and Reporting System Construction of Managerial Accounting in China

The purpose of this paper is to propose an innovation system of managerial accounting reports, which is actually on the basis of accounting objectives. On the one hand, as managerial accounting is one important branch of accounting(the other important branch is financial accounting), some of its characters should be closely connected with accounting. On the other hand, managers need managerial accounting information for enterprise operation(especially for internal management control) decisions, so, managerial accounting should also be in accordance with the enterprise's operation and its management control. Therefore, combined with the existed research of accounting(especially financial accounting research) and for the development requirement of Chinese enterprises, this paper will mainly discuss the relation between accounting objectives and managerial accounting's system and put forward an idea of constructing an applicable reporting system of managerial accounting based on the operation mode in Chinese modern enterprises. This study will develop the accounting reports research(including external reports and internal reports) both in the field of theory and that of practice.

Culturally Relevant Pedagogy in Teaching Proficiency through Reading and Storytelling

When the demographics in American public schools became more diverse,educators have faced the challenge of working with diverse student learners.In the education field,culturally relevant pedagogy has been widely recognized as an effective practice for teaching about diversity and is used across different school subject areas.This article discusses the four aspects in which teachers can implement culturally relevant pedagogy in TPRS language classrooms:a caring learning community,establishing meaning,story asking,and story reading.Teachers can include and empower students by validating them as learning subjects and engaging them in knowledge creation and representation in curriculum and instruction.The goal is to develop academic success,culture and identity,equity,and excellence for all student learners in a multicultural and global society.

Autonomous Evolutionary Information Systems

Traditional information systems are passive, i.e., data or knowledge is created, retrieved, modified, updated, and deleted only in response to operations issued by users or application programs, and the systems only can execute queries or transactions explicitly submitted by users or application programs but have no ability to do something actively by themselves. Unlike a traditional information system serving just as a storehouse of data or knowledge and working passively according to queries or transactions explicitly issued by users and application programs, an autonomous evolutionary information system serves as an autonomous and evolutionary partner of its users that discovers new knowledge from its database or knowledge base autonomously, cooperates with its users in solving problems actively by providing the users with advices, and has a certain mechanism to improve its own state of “knowing” and ability of “working”. This paper seminally defines what is an autonomous evolutionary information system, explain why autonomous evolutionary information systems are needed, and presents some new issues, fundamental considerations, and research directions in design and development of autonomous evolutionary information systems.

Using density functional calculations to elucidate atomic ordering of Pd-Rh nanoparticles at sizes relevant for catalytic applications

Pd-Rh nanoparticles are known to easily undergo surface restructuring in reactive environment. This study quantifies, with the help of density functional(DFT) calculations and a novel topological approach, atomic ordering and surface segregation effects in Pd-Rh particles with compositions 1:3, 1:1 and 3:1 containing up to 201 atoms(ca. 1.7 nm). The obtained data are used to reliably optimise energetically preferred atomic orderings in inaccessible by DFT Pd-Rh particles containing thousands of atoms and exhibiting sizes exceeding 5 nm, which are typical for catalytic metal particles. It is outlined, how segregation effects on the surface arrangement of Pd-Rh nanoalloy catalysts induced by adsorbates can be evaluated in a simple way within the present modelling setup.

Correction to:The dissemination of relevant information on wildlife utilization and its connection with the illegal trade in wildlife

Correction to:J.For.Res.https://doi.org/10.1007/s11676-021-01306-y The article“The dissemination of relevant information on wildlife utilization and its connection with the illegal trade in wildlife”,written by Zhifan Song·Qiang Wang·Zhen Miao·Wei Zhang and Xuehong Zhou,was originally pub-lished electronically on the publisher’s internet portal on 11th March 2021 without open access.