基于Faculty Opinions最新推荐评分的生物医学科技论文评价指标相关性研究

目的/意义分析不同生物医学科技论文数据库中的各类评价指标,挖掘其中隐含关联。方法/过程以Faculty Opinions推荐的文献为基础,分别从Altmetric、Scopus、WOS数据平台获取各类代表性指标,运用SPSS软件进行斯皮尔曼相关性比较分析。结果/结论不同学科类别文章Faculty Opinions最新推荐评分中,RS与WSS的相关度最高,RCR与RS相关度中等,Scopus各指标均与社会计量学各指标高度相关,Scopus与WOS各指标之间的相关度较高。

Opinions of Students on the Contribution of the DIVA 3D Virtual Dissection Table to the Teaching of Anatomy at the Faculty of Medicine and Odontostomatology of Bamako

Objective: Study the contribution of the DIVA 3D dissection table in the teaching of anatomy at the Faculty of Medicine and Odontology of Bamako. Material and Methods: This was a qualitative study carried out from November 1 to December 30, 2023 at the clinical and morphological anatomy laboratory of the Faculty of Medicine and Odontostomatology of Bamako. Included in this study were students who participated in practical and tutorial sessions. The variables studied during this study were: the previous performance of dissection on a cadaver by the students, the opinion of the students on dissection on a cadaver, the replacement of dissection on a cadaver by virtual dissection in the absence of a body, the level student satisfaction. Results: We surveyed 130 participants. The average age was 22 ± 0.2 years with extremes of 17 and 29 years. 95.3% of participants were students. According to 66.7% of participants, virtual dissection is a good palliative in the absence of a corpse. 95.3% of participants found using the virtual dissection table easy with an average of 7.88 ± 1.4. The overall assessment was well rated by 99.3% of participants. Conclusion: According to the results of this study, the virtual dissection table should be improved by integrating commented videos. The use of the DIVA 3D virtual dissection table during practical and tutorial sessions is well appreciated by the students. We believe that the teaching of anatomy using 3D digital technology should be included in the study programs of the Faculty of Medicine and Odontostomatology.

Practice and Thinking of Agricultural Science and Technology Experts Serving the Grassroots to Promote Rural Revitalization

Provincial agricultural research institutes are local agricultural research institutions.They are familiar with local agricultural and ru-ral conditions,and have advantages in scientific and technological achievements,technical reserves and the construction of scientific and tech-nological talent support systems.In the process of promoting the implementation of the rural revitalization strategy,all the responsibilities and obligations of the agricultural research institute are to identify the focus of scientific and technological support and talent support in rural revital-ization,and break the bottleneck and constraints of rural revitalization.By sorting out the current situation of agricultural science and technolo-gy experts serving the grassroots in the problem of talent support for rural revitalization,this paper analyzed the existing problems and put for-ward countermeasures and recommendations.

Solid Waste Management:A MADM Approach Using Fuzzy Parameterized Possibility Single-Valued Neutrosophic Hypersoft Expert Settings

The dramatic rise in the number of people living in cities has made many environmental and social problems worse.The search for a productive method for disposing of solid waste is the most notable of these problems.Many scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated ambiguity.The goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site selection.The characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these uncertainties.To tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s method.Following this,an intelligent algorithm is suggested.The steps of the suggested algorithm are explained with an example that explains itself.The compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their viability.This study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,respectively.It uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior literature.It is simpler for the decisionmakers to look at each option separately because the decision is uncertain.Comparing the computed results,it is discovered that they are consistent and dependable because of their preferred properties.

利用Pure Experts Portal展示科研成果与拓展合作

Pure Experts Portal是一个基于网页的集成化科研信息系统,是一个全新的展示与发现科研信息的工具。用户可以在其中拥有完善的科研信息档案,也可以在全球范围内方便地查找领域内的专家。结合山东大学PureExpertsPortal的实例,详细阐述了该系统的功能、核心技术及数据基础,介绍了该系统的实施过程和运行维护的相关工作。

Climate change impacts and forest adaptation in the Asia–Pacific region: from regional experts' perspectives

Expert opinions have been used in a variety of fields to identify relevant issues and courses of action. This study surveys experts in forestry and climate change from the Asia–Pacific region to gauge their perspectives on the impacts of climate change and on the challenges faced by forest adaptation in the region, and explores recommendations and initiatives for adapting forests to climate change. There was consensus regarding the impacts of climate change on forest ecosystems and on economic sectors such as agriculture and forestry. Respondents also indicated a lack of public awareness and policy and legislation as challenges to addressing climate change. However, the results indicate differences in opinion between regions on the negative impacts of climate change and in satisfaction with actions taken to address climate change,highlighting the need for locally specific policies and research. The study presents specific recommendations to address issues of most concern, based on subregion and professional affiliation throughout the Asia–Pacific region.The results can be used to improve policy and forest management throughout the region. This research will also provide valuable suggestions on how to apply research findings and management recommendations outside of the AP region. The conclusions should be communicated relative to the level of the research and the target audience,ensuring that scientific findings and management recommendations are effectively communicated to ensure successful implementation of forest adaptation strategies.

International experts consensus guidelines on robotic liver resection in 2023

The robotic liver resection(RLR)has been increasingly applied in recent years and its benefits shown in some aspects owing to the technical advancement of robotic surgical system,however,controversies still exist.Based on the foundation of the previous consensus statement,this new consensus document aimed to update clinical recommendations and provide guidance to improve the outcomes of RLR clinical practice.The guideline steering group and guideline expert group were formed by 29 international experts of liver surgery and evidence-based medicine(EBM).Relevant literature was reviewed and analyzed by the evidence evaluation group.According to the WHO Handbook for Guideline Development,the Guidance Principles of Development and Amendment of the Guidelines for Clinical Diagnosis and Treatment in China 2022,a total of 14 recommendations were generated.Among them were 8 recommendations formulated by the GRADE method,and the remaining 6 recommendations were formulated based on literature review and experts’opinion due to insufficient EBM results.This international experts consensus guideline offered guidance for the safe and effective clinical practice and the research direction of RLR in future.

基于Design-Expert的电链锯锯齿结构参数优化

为提高电链锯的锯切效率,对电链锯锯齿的齿形结构参数进行研究,以单位锯切功为电链锯锯切效率的衡量指标,通过对电链锯锯切过程的仿真研究,得出不同结构锯齿的单位锯切功。以电链锯锯齿中的外形前角、侧刃楔角和顶刃楔角等结构参数作为影响因子,采用Box-Benhnken中心组合试验方法设计多因素正交试验,使用Design-expert软件进行数据分析得出最优齿形结构参数组合。研究结果表明,所选取的齿形结构参数对单位锯切功影响程度由大到小顺序依次为外形前角、侧刃楔角、顶刃楔角,并获得最优齿形结构参数组合,外形前角为10.92°、侧刃楔角为45.7°、顶刃楔角为45.41°。

Chinese Association for the Study of Pain:Experts consensus on ultrasound-guided injections for the treatment of spinal pain in China(2020 edition)

Spinal pain(SP)is a common condition that has a major negative impact on a patient’s quality of life.Recent developments in ultrasound-guided injections for the treatment of SP are increasingly being used in clinical practice.This clinical expert consensus describes the purpose,significance,implementation methods,indications,contraindications,and techniques of ultrasound-guided injections.This consensus offers a practical reference point for physicians to implement successfully ultrasound-guided injections in the treatment of chronic SP.

The Influence of Residents’ Opinions on the Redesign of Urban Underground Streets: A Case Study from <i>Diyi</i>Underground Street

The rapid development of urbanization and rapid growth of urban population have brought about various urban problems, and the development of cities to the ground and underground has become an inevitable choice. Underground street is a kind of underground space types, and it is also an important urban recreational resources and tourism resources. The evaluation of underground street users, especially the residents and tourists, has important reference value for the recreational resources’ redevelopment of underground street. Firstly, this paper reviews the relevant research literature on underground street and Post-Occupancy Evaluation theory, then chooses Diyi Underground Street, Chengdu, China, as the research object, and conducts a questionnaire survey and in-depth interviews on residents’ shopping intention from five dimensions of underground street environment, decoration, commercial form, public facilities and other aspects. Finally, the survey data are analyzed quantitatively. The results show that some influence factors such as air quality, daylighting, decoration style etc. greatly affect the willingness of residents to enter the street. Therefore, residents’ recreational experience should be emphasized during the underground street re-planning according to the above factors.

The consensus on liver autotransplantation from an international panel of experts

IntroductionMore than 1.0 million patients worldwide are diagnosed with space-occupying lesions in the liver every year, with the number approaching 0.5 million per year in China, and only 20% of the lesions are resectable Due to a lack of available donors, only a limited number of patients underwent allogeneic liver transplantation, the remaining patients simply receive palliative care. Therefore, discovering new options for treating these patients is a high priority. Liver autotransplantation （LAT） is a surgical technique that adopts liver transplantation skills to radically treat spaceoccupying hepatic lesions, benign or malignant,

Interests of Livestock Activities within Agroforestry Systems in Guadeloupe: Stakeholders’ Opinions and Farmers’ Perceptions

The Valab project (Integrated Ecosystemic value-enhancement of the Guadeloupean Forest Agrobiodiversity) is a participatory action research that aims to explore the feasibility of diversification activities within the forest understorey. In the exploratory phase of the project, we studied stakeholders’ opinions on the positive and negative impacts of introducing livestock activities within a forest environment, as well as breeders’ constraints or motivations for setting up livestock units within agroforestry systems in the private forests of Guadeloupe. To establish a diagnosis of the current situation, 51 stakeholders (St) and 49 farmers (Fr) were interviewed on their perceptions, opinions, motivations and preferences. Forty-one percent of the St has had a generally positive appreciation of livestock activities, while on the opposite 31% have had a resolutely negative posture depending on their area of expertise. Their views on the possible positive effects or negative interactions between livestock and agroforestry activities were analysed in order to suggest possible approaches for the authorities or associations. Unanimously, the farmers replied that their motivations followed economic strategies: for self-consumption or sale. But their decision-making processes were also non-economic. Many of them (36% Fr) gave importance to their activity in the construction of their identity, whether it was through a desire to perpetuate traditions or to maintain family activities. The main constraints identified were natural constraints (61% Fr), including topography, climate and predators. While 28% of Fr notified their motivations for environmental protection. Another constraint was of a technical nature (44% Fr) since farmers asked for more technical references or support services. Further researches are required to study the interactions between animals and the undergrowth by describing their respective ecosystem services in order to enhance their positive interactions.

Determining winner in multi-attribute procurement auction:a method based on technical and business experts' evaluation information

A method for solving the winner determination problem （WDP） in multi-attribute procurement auctions is proposed, based on technical and business experts＇ evaluation information. Firstly, on the background of procurements in China, a multi-attribute pro- curement auction mechanism is presented, where technical and business experts participate in the bid evaluation. Then, the concept of TOPSIS is used to determine the positive and negative ideal points of the WDP according to bid prices, the technical and business experts＇ evaluation information. Further, the closeness coefficient of each bidder （candidate supplier） is obtained by calculating the distances to the positive and negative ideal points. Thus, the winning supplier can be determined according to the closeness coefficients. Finally, a numerical example is used to illustrate the use of the proposed method.

Opinions of traditional birth attendants in Ibadan, Nigeria, towards reversal of eruption sequence of primary central incisors in infants

Introduction: Traditional birth attendants (TBA’s) have been a good medium for transferring health education messages in culturally acceptable ways. It is believed that they will be a good asset to demystify the misconceptions associated with reversal of eruption sequence in the community. Aim: To assess the opinions of TBA’s towards reversal of eruption sequence of primary central incisors in infants. Methods: A cross sectional study was conducted among all consenting TBA’s in the five urban local government areas in Ibadan, using a pretested 17-item semi structured interviewer administered questionnaire. Results: Forty eight (29.4%) respondents will be astonished at seeing children erupting upper primary central incisors before the lowers, while 25 (15.3%) will regard them as strange. Thirty five (21.1%) respondents felt this condition was due to evil spirits while 13 (8.0%) believed that child’s parents had breached traditional taboos. There was a correlation between negative beliefs about this variation and age (p = 0.038) and education (p = 0.020). Their opinion on the families of the affected children was hideous as (13.5%), (23.3%) and (27.6%) regarded it as a curse, embarrassment and abomination respectively and this was associated with their educational status (p = 0.014). Many (61.3%) of the respondents would advise the parents to hide or get rid of such children whilst (33.7%) advocated for extraction and only 8 (4.9%) felt child and the tooth should be left alone. Conclusion: Many of the TBA’s have dissenting mind-sets towards such children and their families. The practices of many of the TBA’s towards such teeth are disturbing and necessitate urgent intervention. The risks are that wrong advice may be given to such parents by the TBA’s and affected children may be deserted, abandoned, stigmatized and exposed to hazards. Older and less educated TBA’s have a greater tendency to believe these misconceptions.

“If We Only Knew How You Feel”—A Comparative Study of Automated vs. Manual Classification of Opinions of Customers on Digital Media

The Web development has drastically changed the human interaction and communication, leading to an exponential growth of data generated by users in various digital media. This mass of data provides opportunities for understanding people’s opinions about products, services, processes, events, political movements, and organizational strategies. In this context, it becomes important for companies to be able to assess customer satisfaction about their products or services. One of the ways to evaluate customer sentiment is the use of Sentiment Analysis, also known as Opinion Mining. This research aims to compare the efficiency of an automatic classifier based on dictionary with the classification by human jurors in a set of comments made by customers in Portuguese language. The data consist of opinions of service users of one of the largest Brazilian online employment agencies. The performance evaluation of the classification models was done using Kappa index and a Confusion Matrix. As the main finding, it is noteworthy that the agreement between the classifier and the human jurors came to moderate, with better performance for the dictionary-based classifier. This result was considered satisfactory, considering that the Sentiment Analysis in Portuguese language is a complex task and demands more research and development.

Experts' Knowledge Fusion in Model-Based Diagnosis Based on Bayes Networks

In previous researches on a model-based diagnostic system, the components are assumed mutually independent. Howerver , the assumption is not always the case because the information about whether a component is faulty or not usually influences our knowledge about other components. Some experts may draw such a conclusion that 'if component m 1 is faulty, then component m 2 may be faulty too'. How can we use this experts' knowledge to aid the diagnosis? Based on Kohlas's probabilistic assumption-based reasoning method, we use Bayes networks to solve this problem. We calculate the posterior fault probability of the components in the observation state. The result is reasonable and reflects the effectiveness of the experts' knowledge.

Two Optimal Aggregation Approaches of Fuzzy Opinions in Group Decision Analysis

The aggregation of fuzzy opinions is an important component of group decision analysis with fuzzy information. This paper proposes two new approaches for the assessment of the weights to be associated with fuzzy opinions. These approaches involve,respectively,the minimization of the sum of squared differences between the individual weighted fuzzy opinion and the weighted mean value of all fuzzy opinions,which is called the weighted minimum variance method (WMVM),and the minimax difference of any two adjacent individual weighted fuzzy opinions,which is called the mean value minimax differences method (MVMDM). The two approaches are developed and numerical examples are presented to illustrate their simplicity and effectiveness in aggregating fuzzy opinions.

Expert Experience and Data-Driven Based Hybrid Fault Diagnosis for High-SpeedWire Rod Finishing Mills

The reliable operation of high-speed wire rod finishing mills is crucial in the steel production enterprise.As complex system-level equipment,it is difficult for high-speed wire rod finishing mills to realize fault location and real-time monitoring.To solve the above problems,an expert experience and data-driven-based hybrid fault diagnosis method for high-speed wire rod finishing mills is proposed in this paper.First,based on its mechanical structure,time and frequency domain analysis are improved in fault feature extraction.The approach of combining virtual value,peak value with kurtosis value index,is adopted in time domain analysis.Speed adjustment and side frequency analysis are proposed in frequency domain analysis to obtain accurate component characteristic frequency and its corresponding sideband.Then,according to time and frequency domain characteristics,fault location based on expert experience is proposed to get an accurate fault result.Finally,the proposed method is implemented in the equipment intelligent diagnosis system.By taking an equipment fault on site,for example,the effectiveness of the proposed method is illustrated in the system.

Heteroscedastic Laplace mixture of experts regression models and applications

Mixture of Experts(MoE)regression models are widely studied in statistics and machine learning for modeling heterogeneity in data for regression,clustering and classification.Laplace distribution is one of the most important statistical tools to analyze thick and tail data.Laplace Mixture of Linear Experts(LMoLE)regression models are based on the Laplace distribution which is more robust.Similar to modelling variance parameter in a homogeneous population,we propose and study a new novel class of models:heteroscedastic Laplace mixture of experts regression models to analyze the heteroscedastic data coming from a heterogeneous population in this paper.The issues of maximum likelihood estimation are addressed.In particular,Minorization-Maximization(MM)algorithm for estimating the regression parameters is developed.Properties of the estimators of the regression coefficients are evaluated through Monte Carlo simulations.Results from the analysis of two real data sets are presented.

Experts in Natural Resource Damages and Toxic Tort Litigation

Expert testimony plays a critical role in environmental and toxic tort litigation [1]. While most litigation settles, the work of an expert should, from the outset, be prepared with trial in mind. First and foremost, an expert, using the appropriate expertise, must be able to resolve questions that will assist the trier of fact in making determinations necessary under the law applicable to the case. In addition, an expert must demonstrate a solid scientific foundation in all of his or her opinions. Once armed with the opinions reached in the case, the forensic expert should work with the trial team to simplify proof, clarify the presentation and integrate it with other trial proof and themes [2]. This effort should include the realistic identification of any perceived or real shortcomings regarding the information available, the approach taken by or conclusions reached by the expert. Ongoing communication between the trial team and the expert throughout the discovery and pre-trial litigation is essential.