Expert Profiles Research Articles

Software codesign between end users and developers to enhance utility for biodiversity conservation

Abstract Creating software tools that address the needs of a wide range of decision-makers requires the inclusion of differing perspectives throughout the development process. Software tools for biodiversity conservation often fall short in this regard, partly because broad decision-maker needs may exceed the toolkits of single research groups or even institutions. We show that participatory, collaborative codesign enhances the utility of software tools for better decision-making in biodiversity conservation planning, as demonstrated by our experiences developing a set of integrated tools in Colombia. Specifically, we undertook an interdisciplinary, multi-institutional collaboration of ecological modelers, software engineers, and a diverse profile of potential end users, including decision-makers, conservation practitioners, and biodiversity experts. We leveraged and modified common paradigms of software production, including codesign and agile development, to facilitate collaboration through all stages (including conceptualization, development, testing, and feedback) to ensure the accessibility and applicability of the new tools to inform decision-making for biodiversity conservation planning.

Quality of Information About Cosmetic Products in Social Media: One-Year Analysis of Portuguese Influential Instagram Profiles

This work characterizes scientific and health information from posts addressing cosmetic products on Instagram for one-year. Portuguese profiles that cover cosmetic products were selected based on popularity and expertise. Posts concerning cosmetic products were recorded, and those containing scientific and health information were selected. A new method was used, which allows rating each post as “correct,” “confuse,” or “incorrect”. Ten popular profiles and three expert profiles were selected. Forty-five posts containing scientific and health information about cosmetic products were analyzed. Popular profiles were approximately ten times more likely to convey confusing information about cosmetic products than expert profiles.

Are urologists underrepresented on fertility clinic websites? A web-based analysis.

Infertile couples frequently utilize the Internet to find various reproductive clinics and research their alternatives. Patients are increasingly using self-referral because of online information on health-care providers. The objective is to compare the image of infertility specialists to other team members on the websites of reproductive clinics. Information was gathered during November and December 2022 from two publicly accessible online registries which include the Human Fertilization and Embryology Authority located in the United Kingdom and the Society for Assisted Reproductive Technology located in the United States. We looked over every website that was accessible, paying close attention to how each team member was portrayed online. We examined a total of 447 clinic websites. Only 8% of the profiles of male infertility doctors were included. Contrarily, most websites (96%), which specialize in reproductive endocrinology and infertility, feature the profiles of female infertility experts. Male infertility professionals also had significantly lower representation than other clinic employees, such as nurses (55.7%, P < 0.0001), directors of embryology laboratories (46.5%, P < 0.0001), office personnel (39.6%, P < 0.0001), and embryology specialists (29.7%, P < 0.0001). Although male factor infertility explains the existence of over half of all cases of infertility, urologists who specialize in male infertility are glaringly understated on websites for fertility clinics. By improving this issue, fertility clinics can draw in more patients by making all members of the care team more visible.

Media społecznościowe jako źródło wiedzy wykorzystywanej w inwestycjach na rynku finansowym

Social media are a source of an enormous amount of data that can support investment decisions, with the development of digital technology in the field of data processing making the analysis of the content published on sites such as Twitter, Facebook and YouTube an indispensable part of the investment process for many financial market participants. The aim of this study is to identify the applications of social media in financial market investing, as well as undertaking to determine the position of social media among the available sources for obtaining market information. The empirical data used in the analysis was obtained through a survey carried out using the CAWI method. The results of the survey indicate that social media are an important source of information, especially for respondents with experience in financial market investments, although they are inferior to financial portals in this respect. The varied use of the social media platforms analysed was also recognised. The main advantage of using Twitter was identified as the ability to monitor current trends and follow the profiles of investment experts, for Facebook it was the ability to join investment-themed groups, while YouTube was valued for its access to educational content.

Artificial Intelligence Algorithms for Expert Identification in Medical Domains: A Scoping Review.

With abundant information and interconnectedness among people, identifying knowledgeable individuals in specific domains has become crucial for organizations. Artificial intelligence (AI) algorithms have been employed to evaluate the knowledge and locate experts in specific areas, alleviating the manual burden of expert profiling and identification. However, there is a limited body of research exploring the application of AI algorithms for expert finding in the medical and biomedical fields. This study aims to conduct a scoping review of existing literature on utilizing AI algorithms for expert identification in medical domains. We systematically searched five platforms using a customized search string, and 21 studies were identified through other sources. The search spanned studies up to 2023, and study eligibility and selection adhered to the PRISMA 2020 statement. A total of 571 studies were assessed from the search. Out of these, we included six studies conducted between 2014 and 2020 that met our review criteria. Four studies used a machine learning algorithm as their model, while two utilized natural language processing. One study combined both approaches. All six studies demonstrated significant success in expert retrieval compared to baseline algorithms, as measured by various scoring metrics. AI enhances expert finding accuracy and effectiveness. However, more work is needed in intelligent medical expert retrieval.

Using practitioners’ voices in developing a business rescue practitioner expert profile

The study explored how business rescue (BR) practices can inform the development of an occupation profile needed to lay a foundation for developing business rescue practitioners’ occupation-specific qualifications. There are 11 professional organisations whose members qualify to serve as business rescue experts. The relevant occupation cannot have more than one occupation expert profile. The study employed qualitative approaches that entailed semi-structured interviews with 20 informants (12 business rescue practitioners, four short skills development programme (SSDP) managers, and 4 SSDP facilitators) and qualitative document content analysis of 30 court cases settled on the BR. The 12 business rescue practitioners (BRP) were randomly selected. However, other informants were accessed through a purposeful sample selection process. The field findings show that the BRP occupation in South Africa is a regulated practice area without an occupation expert profile. The BR practices have not been incorporated in a qualification framework registered on the Qualification Framework (NQF) governed by the South African Qualifications Authority (SAQA). Development of pipeline talent is limited, and the monitoring of SSDPs encounters limitations without an occupation expert profile and an occupation-specific qualification. The BR practices can be categorised into 11 tasks linked to practitioner training disciplines. The existing SSDPs provide an important mechanism for continuing professional development. However, the contents should be linked to BR practices and an occupation profile embracing the BRP role as an interim managing director in a business rescue process. The uniqueness of this article resides in its documentation of BR practices generated from multiple data sources that should be used to develop an occupation expert profile that reflects BRP’s capability. The setting of the BR process requires experts to operate in the capability realm. Methods: The study employed qualitative approaches that entailed semi-structured interviews with 20 informants (12 business rescue practitioners, four short skills development programme (SSDP) managers, and 4 SSDP facilitators) and qualitative document content analysis of 30 court cases settled on the BR. The 12 business rescue practitioners (BRP) were randomly selected. However, other informants were accessed through a purposeful sample selection process. Results: The field findings show that the BRP occupation in South Africa is a regulated practice area without an occupation expert profile. The BR practices have not been incorporated in a qualification framework registered on the Qualification Framework (NQF) governed by the South African Qualifications Authority(SAQA). Development of pipeline talent is limited, and the monitoring of SSDPs encounters limitations without an occupation expert profile and an occupation-specific qualification. The BR practices can be categorised into 11 tasks linked to practitioner training disciplines. Practical implications: The existing SSDPs provide an important mechanism for continuing professional development. However, the contents should be linked to BR practices and an occupation profile embracing the BRP role as an interim managing director in a business rescue process. Originality value: The uniqueness of this article resides in its documentation of BR practices generated from multiple data sources that should be used to develop an occupation expert profile that reflects BRP’s capability. The setting of BR process requires experts to operate in the capability realm.Keywords: business, expert, occupation, practitioner, practice, profile, rescue, voices.

Mind and body connection in expert meditators: a computational study based on central and peripheral nervous system

A meditative ‘technique’ is conceived as a continuum of different affective states involving mind and body jointly. Meditative practices can involve cognitive effort (e.g., focused attention and open-minded techniques), as well as automatic and implicit practices (e.g., transcendental techniques). The NGALSO tantric self-healing meditation technique is a brief, comprehensive meditation technique relying on mind and body connection. In this study, we aimed to investigate the state and the trait neurophysiological correlates of NGALSO meditation practice. First, 19 EEG channels and a 3-lead ECG signal were recorded from 10 expert meditators (more than 7 years of daily meditation) and 10 healthy inexpert participants (controls) who underwent the same meditative procedure. The neuropsychological profiles of experts and controls were compared. Results showed that expert meditators had significantly higher power spectra on alpha, theta and beta, and a higher sympathetic tone with lower parasympathetic tone after meditation. Conversely, the control group had significantly less power spectra on alpha, theta and beta, and a higher parasympathetic tone with lower sympathetic tone after meditation. A machine learning approach also allowed us to classify experts vs. controls correctly by using only EEG Theta bands before or after meditation. ECG results allowed us to show a significantly higher effort by expert meditators vs. controls, thus suggesting that a higher effort is required for this meditation, in line with the principle ‘no pain, no gain’ in body and mind.

Interpretability of deep learning models in analysis of Spanish financial text

AbstractArtificial intelligence methods based on deep learning (DL) have recently made significant progress in many different areas including free text classification and sentiment analysis. We believe that corporate governance is one of these areas, where DL can generate very valuable and differential knowledge, for example, by analyzing the biographies of independent directors, which allows for qualitative modeling of their profile in an automatic way. For this technology to be accepted it is important to be able to explain how it generates its results. In this work we have developed a six-dimensional labeled dataset of independent director biographies, implemented three recurrent DL models based on LSTM and transformers along with four ensembles, one of which is an innovative proposal based on a multi-layer perceptron (MLP), trained them using Spanish language and economics and finance terminology and performed a comprehensive test study that demonstrates the accuracy of the results. We have also performed a complete study of explainability using the SHAP methodology by comparatively analyzing the developed models. We have achieved a mean error (MAE) of 8% in the modeling of the open text biographies, which has allowed us to perform a case study of time analysis that has detected significant variations in the composition of the Standard Expertise Profile (SEP) of the boards of directors, related to the crisis of the period 2008–2013. This work shows that DL technology can be accurately applied to free text analysis in the finance and economic domain, by automatically analyzing large volumes of data to generate knowledge that would have been unattainable by other means.

The issue of expert education and activities in the field of ICH: The example of East Sarajevo

Questions about the intangible cultural heritage (ICH) in recent years represent not only the mere registration, safeguarding, and sustainability of elements, and the application of the UNESCO Convention, but they also pose the problem of functioning and (lack of) experts in charge of the processes above. Considering the complex situation surrounding the overall political and cultural context of Bosnia and Herzegovina, and thus the adopted Convention and its application, the issue of education and the work of experts in the field of protection of the ICH arise. Based on the ?inside? and ?outside? view, the paper will try to draw attention to the issues of education and the concrete actions of experts who acquired (and are acquiring) their competencies in different ways. The paper also emphasizes the evident need for changing/supplementing the educational programs of the profile of future experts in culture on the example of East Sarajevo. One of the two existing universities in the Republika Srpska is located in East Sarajevo, recognized as the ?student? and ?university center of the eastern part of Srpska?. This area is also rich on musical, folkloristic, and cultural level, and one element on the preliminary list of the ICH of Republika Srpska-Bosnia and Herzegovina comes from East Sarajevo. The aim of the paper is, on the one hand, to point out the problem of education and the creation of profiles of experts in culture through different levels of education, and on the other hand, to point out of activity of artists, (un)official experts and associations in culture, observed through the prism of ICH in the area of the City of East Sarajevo.

Visualization of employees’ competencies using knowledge maps

Goal: to develop and test an approach to visualize the expert profile of a department of a modern university and its employees. This approach can be extended to the educational organization with additional levels of generalization if necessary. Metodology: the analysis of the literature on knowledge maps was carried out to determine the logic of knowledge mapping in a modern university through the prism of stakeholders. The empirical study was conducted in the form of a self-assessment questionnaire among employees of a university business school. Findings: the paper proposes an approach to identify basic ontologies to describe the activities of teachers and researchers in modern educational organizations in general and as part of the empirical study in particular. Originality and contribution of the authors: the presented approach to identify basic ontologies for the development of visual models allows to systematically represent the professional and practical knowledge and levels of teachers and researchers’ expertise as well as to rise to a higher level of conceptual generalization of large and ultra-large volumes of data, and ease communication gaps between different groups of stakeholders.

Expert Profile Identification From Community Detection on Author-Publication-Keyword Graph With Keyword Extraction

Expert Profile Identification From Community Detection on Author-Publication-Keyword Graph With Keyword Extraction

Mexpert: An Algorithm for Finding Cross-disciplinary Experts Using Data Mining Techniques

Multidisciplinary research is the practice of bringing together experts from different disciplines or fields of study to work collaboratively on a common problem, project, or research question. This study proposes an expert finding algorithm, namely Mexpert, to bridge the gap between experts using data mining techniques. Our method has three steps. The first process is data preparation, which involves extracting information from research papers. The first process includes collecting data, extracting keywords, and discovering topics. The second process involves creating a model to group experts with similar knowledge and expertise. The last process involves analyzing the expert profiles using their experience in terms of h-index, average number of publications and total citations, followed by profile ranking. The corpus contains 17,679 papers obtained from SCOPUS. The experimental results reveal that there are four clusters out of 7 fields. We analyzed each cluster obtained from Mexpert and found that most cluster members published multidisciplinary research papers together. These results suggested that our approach can be applied to find a group of experts with different expertise.

Safety at work within industry 5.0 - quo vadis

All EU nations and the rest of the globe have been undergoing a massive digital transformation since Germany introduced and put into practice the Industry 4.0 concept in 2011. This entails not only boosting production by incorporating all current means of production, such as modern ICT solutions and robotics, but also introducing new expert profiles and ways of working. And, as that process became increasingly intensive, a new phrase, Industry 5.0, emerged in 2015. This concept focuses on the human potential as well as various IoT and Big Data applications to enhance human job and talent. Its objective is to connect individuals who work with robots in automated industrial settings. It is obvious that protecting worker safety and wellbeing at work entails not just maintaining physical health but also maintaining mental health, autonomy, dignity, privacy, and inclusion. Thanks to new technologies and the concept of Industry 5.0, we can have safer and more productive workplaces where the skills and creativity of workers come to the fore.

Do the educational profile, gender, and professional experience of audit committee financial experts improve financial reporting quality?

Going beyond the mere presence of the audit committee financial experts (ACFEs) within the audit committee, we examine whether the educational profile, gender, and professional experience of ACFEs reduces the extent of earnings management. Using a sample of Chinese listed companies, we find evidence suggesting that ACFEs with postgraduate qualifications and other professional certifications mitigate earnings management. Female ACFEs with postgraduate qualifications are more effective in mitigating earnings management than their male counterparts. Also, the professional experience of ACFEs helps them reduce the extent of earnings management. Results are more pronounced in the case of female ACFEs with more professional experience. In addition, we found that ACFEs working in privately-owned Chinese firms better mitigate earnings management compared to those in state-owned Chinese firms. Overall, our results remain robust after controlling for potential endogeneity problems and using alternative earnings management proxies. Our study provides implications for regulators about necessary policy reforms regarding audit committee composition and recommends that companies appoint female ACFEs in China.

Role of Expert in Validation of Information Collection Instruments for Business Purposes

Purpose: This article purpose is exposing role of expert in validation of information collection instruments for business purposes. Theoretical framework: The work is based on the multidisciplinary, interdisciplinary, transdisciplinary and pluridisciplinary vision, as relevant aspects in the expert's profile. Design/Methodology/Approach: The coherence, relevance, independence and impact of each of the items that make up the instrument are established as validation criteria, as well as the possible judgments to be issued, specifically, acceptance, modification or rejection, and prepares a validation sheet to facilitate the formalization of the opinion. Findings: The role of the expert in the validation of information gathering instruments for business purposes is of strategic importance, since the confidence in the inferences made depends on the quality of the data obtained. Research, practical &amp; social implications: It is vitally important to verify that the expert candidate meets the profile and thus be convinced that the judgments issued contribute to the proper definition of the instrument. Originality/Value: The expert's profile is proposed to achieve an information collection instrument in accordance with the formulated objectives and a validation sheet is proposed.

Participation of Students with Disabilities in the Development of Individual Education Plan

The usefulness of individual education plans (IEP) is undeniable for students, parents and teachers/special education teachers. In addition to development (team cooperation), and implementation, the participation of students with disabilities and developmental disorders is essential. According to modern literature, only the participation of students and self-directed IEP meetings provide various benefits (development of self-evaluation skills, self-advocacy, and probability of motivation to achieve the goals planned in the IEP, etc.). The aim of the paper is to examine teachers and special education teachers about the participation and role of students in the first meeting of the IEP team. Additionally, to determine the differences in relation to the experience of working with students with developmental disorders and the educational profile of experts. This research included 131 respondents (94 teachers and 37 special education teachers) from various regular and special secondary schools. The research was conducted online through “Google Forms”, the data was collected through the questionnaire IEP Implementation Rating Scale – IEP IRS without the influence of the examiner. Based on the results, we concluded that students are often absent from the first IEP meeting, while teachers/special education teachers and parents are present. In this research, experience in working with students with developmental disorders was not significantly associated with student participation. However, differences in the educational profile are noted, special education teachers have a leading role and the participation of students with disabilities and disorders in development is modest.

Improving recommendation diversity and serendipity with an ontology-based algorithm for cold start environments

AbstractEvery real-life environments where users interact with items (products, films, research expert profiles) have several development phases. In the Cold-start phase, there are almost no interactions among users and items content-based recommendation systems (RS) can only recommend based on matching the attributes of the items. In the transition state, items start to collect user interactions but still a significant number of items have too small number of interactions, RS does not allow users to discover cold items. In a regular state, where most of the items in the system have enough interactions, the recommendations often suffer from low diversity of the items within a single recommendation. This article proposes a general recommendation algorithm based on Ontological-similarity, which is designed to address all the above problems. Our experiments show that recommendations generated by our approach are consistently better in all environment development phases and increase the success rate of recommendations by almost 50% measured using ontology-aware recall, which is also introduced in this article.

Statins for primary prevention in multimorbid patients: to prescribe or not to prescribe? A qualitative analysis of general practitioners' decision-making processes.

A better understanding of the determinants involved in general practitioners' (GPs) decision-making processes when it comes to prescribing statins as primary prevention in patients with multimorbidity could provide insights for improving implementation of primary prevention guidelines. We conducted a qualitative study using a deductive framework-based and inductive analysis of GPs' semi-structured interviews verbatim, from which expertise profiles of prescribers were also drawn. The analytical framework was built from a pragmatic synthesis of the evidence-based medicine, Modelling using Typified Objects (MOT) model of clinical reasoning processes, Theoretical Domains Framework, and shared decision-making frameworks. Fifteen GPs were interviewed between June 2019 and January 2020. Diabetes seemed to represent a specific motivation for deciding about statin prescription for primary prevention purposes; and in situations of multimorbidity, GPs differentiated between cardiovascular and non-cardiovascular multimorbidity. Expert prescribers seemed to have integrated the utilisation of cardiovascular risk calculation scores throughout their practice, whereas non-expert prescribers considered them difficult to interpret and preferred using more of a "rule of thumb" process. One interviewee used the risk calculation score as a support for discussing statin prescription with the patient. Our results shed light on the reasons why statins remain under-prescribed for primary prevention and why non-diabetic multimorbid patients have even lower odds of being prescribed a statin. They call for a change in the use of risk assessment scores, by placing them as decision aids, to support and improve personalised shared decision-making discussions as an efficient approach to improve the implementation of recommendations about statins for primary prevention.

Competency Models for Information Security and Cybersecurity Professionals: Analysis of Existing Work and a New Model

Competency models are widely adopted frameworks that are used to improve human resource functions and education. However, the characteristics of competency models related to the information security and cybersecurity domains are not well understood. To bridge this gap, this study investigates the current state of competency models related to the security domain through qualitative content analysis. Additionally, based on the competency model analysis, an evidence-based competency model is proposed. Examining the content of 27 models, we found that the models can benefit target groups in many different ways, ranging from policymaking to performance management. Owing to their many uses, competency models can arguably help to narrow the skills gap from which the profession is suffering. Nonetheless, the models have their shortcomings. First, the models do not cover all of the topics specified by the Cybersecurity Body of Knowledge (i.e., no model is complete). Second, by omitting social, personal, and methodological competencies, many models reduce the competency profile of a security expert to professional competencies. Addressing the limitations of previous work, the proposed competency model provides a holistic view of the competencies required by security professionals for job achievement and can potentially benefit both the education system and the labor market. To conclude, the implications of the competency model analysis and use cases of the proposed model are discussed.

Program Pemberdayaan Masyarakat Difabel Melalui Difabel Creative Center di Daarut Tauhiid

The aim of this research is to find out the process, implementation and results of community empowerment through the disabled creative center (DCC) program which is specifically for people with disabilities in the city of Bandung and is managed by DT – Peduli. The research method uses a descriptive method with a qualitative approach. The results showed that the DCC program took the form of sewing skills training, screen printing training, clothing production, and marketing of products. With the implementation, this meeting is carried out on a scheduled and neatly packaged basis which is inserted with a program of guidance on physical and spiritual motivation in the form of mini seminars, workshops or thematic training guided by successful experts and practitioners and Second, the Disability Workshop is a space to facilitate the potential possessed by the participants or DCC alumni so they can display their superior products or expertise profiles offline and online. As for the results of the DCC program, people with disabilities in the city of Bandung are able to improve their standard of living and are more empowered after participating in the disabled creative center (DCC) program.