User's View Research Articles

One4all—A New SCADA Approach

The main purpose of this paper is to introduce a new concept, named “one4all” in the realm of SCADA (Supervisory Control and Data Acquisition) systems, used by a regional company (particularly a water supplying company) for managing the different views of its users. As a secondary purpose, the paper presents an integration of such an SCADA system with a GIS (Geographical Information System) system. All the regional water supply companies in Romania manage water and wastewater networks, many sensors and actuators, dozens of water pump plants, several water treatment and wastewater plants, tanks and many hydrophores in different parts of their operating range. Due to the wide geographical operating range, an SCADA system needs to be put in place, but the management of such a system in a traditional way is hard to implement, especially when the human resource is low. The methodology presented in this paper, involving adding helper tables and dynamic template windows within an SCADA tool (“one4all” tool), will show how efficiently the human resource can be used. Additionally, the paper shows that companies as described above, can use a single SCADA system that generates different views for all the managed sub regions instead of different systems for every sub region. Implementing only one SCADA system built with the concept “one4all” in mind, and integrating it with a GIS system that is built on the same principle, represents a new approach that will bring value to any organization willing to adopt it. The concept of “one4all”, implemented as a software tool for an SCADA system, is a new concept that will help any developer to easily build applications that generate different views for different users based on their permissions and their operating range. Finally, the paper presents some examples of the same concept, implemented in a different vertical (GIS) and programming language, thus presenting that a “one4all” concept is viable and helpful, bringing value to the information technology industry.

Implementing a Novel Interprofessional Clinical Informatics Curriculum.

A novel interprofessional clinical informatics curriculum was developed, piloted, and implemented, using an academic medical record. Targeted learners included undergraduate, graduate, and professional students across five health science colleges. A team of educators and practitioners representing those five health science colleges was formed in 2016, to design, develop, and refine educational modules covering the essentials of clinical informatics. This innovative curriculum consists of 10 online learning modules and 18 unique imbedded exercises that use standardized patient charts and tailored user views. The exercises allow learners to adopt the role of various providers who document in EMRs. Students are exposed to the unique perspectives of an attending physician, nurse, radiological technician, and health information manager, with the goal of developing knowledge and skills necessary for efficient and effective interprofessional communication within the EMR. The campus-wide clinical informatics curriculum is online, flexible, asynchronous, and well-established within each college, allowing faculty to select and schedule content based on discipline-specific learner and course needs. Program modifications over the past 4 years have correlated with a positive impact on the students' experience.

Valuing quality in mental healthcare: A discrete choice experiment eliciting preferences from mental healthcare service users, mental healthcare professionals and the general population

High and sustained healthcare quality is important worldwide, though health policy may prioritise the achievement of certain aspects of quality over others. This study determines the relative importance of different aspects of mental healthcare quality to different stakeholders by eliciting preferences in a UK sample using a discrete choice experiment (DCE). DCE attributes were generated using triangulation between policy documents and mental healthcare service user and mental healthcare professional views, whilst ensuring attributes were measurable using available data. Ten attributes were selected: waiting times; ease of access; person-centred care; co-ordinated approach; continuity; communication, capacity and resources; treated with dignity and respect; recovery focus; inappropriate discharge; quality of life (QoL). The DCE was conducted online (December 2018 to February 2019) with mental healthcare service users (n = 331), mental healthcare professionals (n = 510), and members of the general population (n = 1018). Respondents’ choices were analysed using conditional logistic regression. Relative preferences for each attribute were generated using the marginal rate of substitution (MRS) with QoL as numeraire. Across all stakeholders, being treated with dignity and respect was of high importance. A coordinated approach was important across all stakeholders, whereas communication had higher relative importance for healthcare professionals and service users and ease of access had higher relative importance for the general population. This implies that policy could be affected by the choice of whose preferences (service users, healthcare professionals or general population) to use, since this impacts on the relative value and implied ranking of different aspects of mental healthcare quality.

A Qualitative Exploration of Service Users’ Experiences of Violence Risk Assessment and Management in Forensic Mental Health Settings: An Interpretative Phenomenological Analysis

ABSTRACT Violence risk assessment and management is central to the lives of forensic mental health service users. Whilst studies have explored mental health professionals’ experiences of violence risk assessment and management, research regarding service user views is largely absent from the literature. Using Interpretative Phenomenological Analysis, the current study interviewed seven forensic mental health service users in low secure mental health inpatient settings about their experiences of violence risk assessment and management. Interviews were recorded, transcribed, and analyzed. Results identified four superordinate themes; Who is this for?, Power, Misunderstood, and Moving Forward. The results are discussed in relation to existing literature. Clinical implications and future research directions are then considered.

The significance of rural markets as a public space in Nigeria

The signs and symbolic meanings of public space in Nigeria as perceived by the users relied on the existence of strong relationships between the people and their environment. This study centers on the users' articulations, opinions, and views to public space such as traditional marketplace for the flourishing and sustainable development of indigenous people in South-West, Nigeria. This study adopts quantitative and subjective ways to elicit the views and opinions’ appraisals of the marketplace users and the term marketplace as a thirdplace. The findings reveal marketplace as a place of cultural inheritance, social arena for users, aesthetically oriented zone and a thirdplace, forming an integral component for the future rural neighbourhood planning and development in Nigeria.

Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System.

The emergence of social media has allowed people to express their feelings on products, services, films, and so on. The feeling is the user's view or attitude towards any topic, object, event, or service. Overall, feelings have always influenced people's decision-making. In recent years, emotions have been analyzed intensively in natural language, but many problems still have to be watched. One of the most important problems is the lack of precise classification resources. Most of the research into feeling gradation is concerned with the issue of polarity grading, although, in many practical applications, this relatively grounded feeling measure is insufficient. Design methods are therefore essential, which can accurately classify feelings into a natural language. The principal goal of the research is to develop an overflow of grammatical rules-based classification of Indian language tweets. In this work, three main challenges are identified to classify feelings in Indian language tweets and possible methods for tackling such issues. Firstly, it has been found that the informal nature of tweets is crucial for the classification of feelings. Based on the tweets, the mental illness of the person has been classified. Therefore, to categorize Indian language tweets, a combination of grammar rules based on adjectives and negations is proposed. Secondly, people often express their feelings with slang words, abbreviations, and mixed words. A technique called field tags is used to include nongrammatical arguments such as slang words and diverse words. Thirdly, if a tweet is more complex, the morphological richness of the Indian language results in a loss of performance. The grammar rules are embedded in N-gram techniques and machine learning methods. These methods are grouped into three approaches, which functionally predict Indian language tweets with syntactic words.

An XML Privacy-Preserving Data Disclosure Decision Scheme

In order to protect the sensitive data represented as XML documents in a trusted collaborative system where sensitive data are not shared, an XML privacy-preserving data disclosure decision scheme was proposed under the assumption of a trusted server. This scheme is inspired by the idea of separating storage structure and content. Temporary access matrix is used to represent structure authorization and the vector represents the content authorization of leaf node. According to the conversion rules, access matrix not only represents access authorization of all nodes but also keeps the main structure of the XML document. With the combination of the vector and matrix, it can provide different access views for different group users with different purposes. In addition, start-end encoding is used to encode all the nodes for locating nodes and the content; privilege matrix solves the problem of privacy synchronization change for all users. At the same time, authentication polynomials are used to verify different users and improve the security level. The experimental results show that the scheme not only effectively protects XML sensitive data but also reduces the storage pressure on the server side; at the same time, from the response time, we know that it is beneficial for the rapid search and information positioning.

Different Techniques of Sentimental Analysis using Deep Learning

World Wide Web like social media forums, review sites and blogs that generate a lot of data the type of users views, feelings, ideas and arguments about various social events, products, products, and politics.

Insights on management commentary in financial reports: the views of users, preparers and auditors

PurposeNew Zealand (NZ) has no reporting standard or guidance for management commentary (MC) that accompanies financial reports. This is unusual, considering MC is provided by many entities and valued by users. Further, the guidance on MC provided by the International Accounting Standards Board (IASB) in their Management Commentary Practice Statement 1 (MCPS1), which was issued in 2010, is currently under review. Thus, the purpose of this paper is to examine the views of NZ’s financial reporting stakeholders, particularly users, preparers and auditors of financial reports for insights regarding the usefulness of MC.Design/methodology/approachTo gain insights into the views of NZ’s financial reporting stakeholders on MC, this paper surveyed users, preparers and auditors of financial statements. This paper includes an analysis of their views on the objectives, content and principles that should underlie MC in financial reporting, based on the IASB’s MCPS1 with consideration of recent work by the IASB on the revision of MCPS1. In addition, the analysis provides insights as to whether the reporting of MC should be made mandatory, and whether assuring MC would increase its usefulness.FindingsThis study found that auditors generally view MC as less useful and more in need of assurance than do preparers and users. Respondents’ ratings indicate that the most important objective for MC is “to enable the assessment of the quality of management’s stewardship”. “Assessing the entity’s future prospects”, and “assessing future cash flows” are also highly rated objectives. The most important principle in preparing MC is identified as “focus on the most important and relevant information”, while the most important content element identified is “the entity's financial performance and position, and cash flows”.Originality/valueThis paper highlights the views of various stakeholders regarding MC reporting, particularly preparers and auditors whose views have not been noted previously in the literature. Also, this study should be of interest to both international and national financial reporting standard setters and regulators. It is particularly timely in view of the current IASB work towards revision and updating of MCPS1, as it provides current insights into what users, preparers and auditors perceive as the most important considerations for MC. This study also has implications for the XRB in NZ, where there is no prior research on stakeholders’ views on MC.

Academic User View: Organ-on-a-Chip Technology.

Organ-on-a-Chip (OoC) systems bring together cell biology, engineering, and material science for creating systems that recapitulate the in vivo microenvironment of tissues and organs. The versatility of OoC systems enables in vitro models for studying physiological processes, drug development, and testing in both academia and industry. This paper evaluates current platforms from the academic end-user perspective, elaborating on usability, complexity, and robustness. We surveyed 187 peers in 35 countries and grouped the responses according to preliminary knowledge and the source of the OoC systems that are used. The survey clearly shows that current commercial OoC platforms provide a substantial level of robustness and usability—which is also indicated by an increasing adaptation of the pharmaceutical industry—but a lack of complexity can challenge their use as a predictive platform. Self-made systems, on the other hand, are less robust and standardized but provide the opportunity to develop customized and more complex models, which are often needed for human disease modeling. This perspective serves as a guide for researchers in the OoC field and encourages the development of next-generation OoCs.

The complex nature of transportation as a key determinant of health in primary and community care restructuring initiatives in rural Canada

It is well recognized that transportation is a barrier to healthcare access for rural-dwelling residents, particularly older adults. Healthcare restructuring initiatives seldom take into consideration the complexity of transportation, which acts as a barrier to appropriate and timely access to healthcare services for older adults in rural communities. This article presents findings of a qualitative research study that explored the complex nature of transportation challenges that rural-dwelling older adults experience in Western Canada when trying to access primary and community care services. Data were derived from a larger study of service user views on a healthcare restructuring initiative intended to facilitate aging-in-place. We conducted 15 focus groups and 9 interviews with a diverse sample of 83 older adults living in one urban centre and nine rural and small rural towns in British Columbia (BC)’s interior. We used content analysis to determine codes and derive themes. Study findings showed that transportation was a top priority for improving primary and community care. Older adult participants identified a range of transportation challenges in trying to get to healthcare services and care providers getting to them. Transportation was a social determinant of health (SDOH) for all participants, regardless of whether they lived in the urban centre or in a rural or small rural town. Our study provides more evidence to support that transportation is a key SDOH for rural-dwelling older adults. As such, transportation should be specifically addressed in healthcare restructuring initiatives that aim to support aging-in-place. Service providers need to advocate for system-wide solutions such as integrating transportation into the healthcare system, while it is imperative that decision-makers act on these solutions.

Maşın təlimi əsasında Twitter məlumatlarının sentiment analizi

The paper analyzes the views of Twitter users on the COVID-19 corona virus pandemic based on machine learning algorithms. The role of sentiment analysis increased with the advent of the social network era and the rapid spread of microblogging applications and forums. Social networks are the main sources for gathering information about users’ thoughts on various themes. People spend more time on social media to share their thoughts with others. One of the themes discussed on social networking platforms Twitter is the COVID-19 corona virus pandemic. In the paper, machine learning methods as Naive Bayes (NB), Support Vector Machine (SVM), Random Forest (RF), Neural Network (NN) are used to analyze the emotional “color” (positive, negative, and neutral) of tweets related to the COVID-19 corona virus pandemic. The experiments are conducted in Python programming using the scikit-learn library. A tweet database related to the COVID-19 corona virus pandemic from the Kaggle website is used for experiments. The RF classifier shows the highest performance in the experiments.

Qualitative Review on Domains of Quality of Life Important for Patients, Social Care Users, and Informal Carers to Inform the Development of the EQ-HWB

ObjectivesTo identify the themes to inform the content of a new generic measure, the EQ-HWB (EQ Health and Wellbeing), that can be used in economic evaluation across health, social care, and public health, based on the views of users and beneficiaries of these services including informal carers. MethodsA qualitative review was undertaken. Systematic and citation searches were undertaken focusing on qualitative evidence of the impact on quality of life from reviews for selected health conditions, informal carers, social care users, and primary qualitative work used in the development of selected measures. A subset of studies was included in the review. Framework analysis and synthesis were undertaken based on a conceptual model. ResultsA total of 42 reviews and 24 primary studies were selected for inclusion in the review. Extraction and synthesis resulted in 7 high-level themes (with subthemes): (1) feelings and emotions (sadness, anxiety, hope, frustration, safety, guilt/shame); (2) cognition (concentration, memory, confusion, thinking clearly); (3) self-identity (dignity/respect, self-esteem); (4) “coping, autonomy, and control” relationships; (5) social connections (loneliness, social engagement, stigma, support, friendship, belonging, burden); (6) physical sensations (pain, discomfort, sleep, fatigue); and (7) activity (self-care, meaningful activities, mobility, communication, hearing, vision). Apart from physical sensations, most of the other themes and subthemes were relevant across both health and social care, including for informal carers. ConclusionsThe findings from this broad review identified themes that go beyond health and that are relevant to patients, informal carers, and social care users. The themes and subthemes informed the domains for the EQ-HWB.

Patient participation in priority setting: Co-existing participant roles

Reflecting a ‘participatory turn’ in healthcare, a variety of activities have been adopted in many countries to harness the views of patients, relatives and service users. While celebrated as a way of empowering patients and increasing the legitimacy of decisions that impact on patient care, critics contend that practices of patient participation often fall short of the ideals they purport to implement. In this article, we investigate how patients' participation in medical priority setting corresponds with the regulative ideals of deliberation and how the practices of participation influence the ability of patients to make their voices heard. Building on document analysis and semi-structured interviews with 12 patient representatives and four scientific officers in the Danish Medicines Council, the analysis demonstrates that conflicting notions of valid knowledge constituted a main challenge for patient participation. The study contributes to the literature on patient participation through a conceptualization of four co-existing participant roles: 1) compliant keepers of experiential knowledge, 2) lay experts investing in evidence production, 3) knowledge translators engaged in alliance building, and 4) demonstrators promoting public contestation. We suggest that a main challenge for PP initiatives is to take into account this variation in patients' engagement.

Does the perceived healthcare quality provided by full-time government employee doctors in the public system differ from the perceived care quality in their own privately managed facilities in Nigeria?

Objective: Although the differences in the quality levels between the public and private sectors have been identified in literature not much is known about the level of quality differences that exist when full time government employee doctors offer the same clinical services in their own privately managed facilities. The objective of this study was to compare service user perceived quality of care provided by full-time government employee doctors in the public system and in their own privately managed facilities in Nigeria.Methods: A cross-sectional multistage sampling design was used to elicit service user views on process, structure and outcome elements of quality identified in the Donabedian’s care quality model. The software for population surveys in EPI Info 7 was used to calculate the required sample. A total of 407 questionnaires were administered and completed after a pre-test.Results: Respondents reported better health outcomes in private practice than in the public system and a majority would recommend visiting a dual physician’s private practice than the public system where they work full-time. Process aspects of quality, including better rapport with doctors, greater perceived confidentiality, shorter wait times, and absence of bureaucratic impediments were said to be better in privately managed facilities of government doctors. However, respondents said that the public sector was superior in respect of the structure element of quality as reflected in better infrastructure, equipment, and availability of drugs.Conclusions: Despite the relatively lower cost of care in government hospitals the outcome and process elements are still crucial in determining which sector patients prefer. These two elements seem to have influenced patronage for private practices of dual practitioners.

Patient Perspectives on the Digitization of Personal Health Information in the Emergency Department: Mixed Methods Study During the COVID-19 Pandemic.

BackgroundAlthough the digitization of personal health information (PHI) has been shown to improve patient engagement in the primary care setting, patient perspectives on its impact in the emergency department (ED) are unknown.ObjectiveThe primary objective was to characterize the views of ED users in British Columbia, Canada, on the impacts of PHI digitization on ED care.MethodsThis was a mixed methods study consisting of an online survey followed by key informant interviews with a subset of survey respondents. ED users in British Columbia were asked about their ED experiences and attitudes toward PHI digitization in the ED.ResultsA total of 108 participants submitted survey responses between January and April 2020. Most survey respondents were interested in the use of electronic health records (79/105, 75%) and patient portals (91/107, 85%) in the ED and were amenable to sharing their ED PHI with ED staff (up to 90% in emergencies), family physicians (up to 91%), and family caregivers (up to 75%). In addition, 16 survey respondents provided key informant interviews in August 2020. Interviewees expected PHI digitization in the ED to enhance PHI access by health providers, patient-provider relationships, patient self-advocacy, and postdischarge care management, although some voiced concerns about patient privacy risk and limited access to digital technologies (eg, smart devices, internet connection). Many participants thought the COVID-19 pandemic could provide momentum for the digitization of health care.ConclusionsPatients overwhelmingly support PHI digitization in the form of electronic health records and patient portals in the ED. The COVID-19 pandemic may represent a critical moment for the development and implementation of these tools.

TOWARDS A PRO-USER ARCHITECTURE AND URBAN PLANNING. Potential Chronologies

This article analyzes studies on environmental perception and performance based on two chronologies of basic textbooks – one international and the other Brazilian – which consider the incorporation of the points of view of end users in the urban and

Photo journals with refugee youth: Methodological reflections of conducting research during the pandemic

The use of visual methods as a research tool has increased worldwide, along with the need to understand the nuanced and contextual benefits, challenges, and risks of their use. Based on participatory approaches, visual methods can offer an adaptable, interactive, and critical way of engaging with refugee young people, making research more accessible and representative. In Montreal, the COVID-19 pandemic forced programs, services and research involving refugee young people to adapt to meet the needs of this population while respecting physical distancing guidelines. Little is known about the strengths and challenges of using visual methods in the context of physical distancing, especially with refugee young people. In this paper, we describe some of the strengths and challenges of using photo journals, a form of visual methods, with refugee young people (11-17 years old) to document their experiences participating in Say Ça!, a Montreal community-based mentoring program, during the pandemic. Six young people participated in photo journals and individual interviews, and 11 volunteers participated in focus group discussions. The journals prompted young people to describe themselves, their favourite moments at Say Ça! and moments when things did not go as planned. In the findings, we describe opportunities and challenges of using photo journals to engage migrant young people in research during the pandemic. Photo journals facilitated building a rapport with young people, overcoming communication challenges, ensuring valid consent throughout the study, and addressing power dynamics between participants and researchers. Challenges included recruitment, confidentiality, and study logistics. In this paper, we present key lessons learned from using photo journals as a method to capture the perspectives of refugee young people. We argue that by including the views of service users, programs may gain a richer understanding of the elements that contribute to refugee young people wellbeing and, ultimately, help improve community-based support for this population in Montreal and other welcome programs.

SENTIMENT ANALYSIS BASED ON PROBABILISTIC CLASSIFIER TECHNIQUES IN VARIOUS INDONESIAN REVIEW DATA

Sentiment analysis is the field in data science to achieve a broader holistic view of users’ needs and expectations. Indonesian user opinions have the potential to manage to be valuable information using sentiment analysis tasks. One of the most supervised learning techniques used in Indonesian sentiment analysis is the Naïve Bayes classifier. The classifier can be optimized and tuned in various models to increase the sentiment analysis model performance. This research aims to examine the performance of various Naïve Bayes models in sentiment analysis, especially when implemented in small datasets to handle overfitting problems. Four different Naïve Bayes models used are Gaussian, Multinomial, Complement, and Bernoulli. We also analyse the effect of various pre-processing techniques on the models’ performance. Moreover, we build the first fashion dataset from the Indonesian marketplace which has a unique character compared to the datasets from other domains. Finally, we also use the various dataset in the experiment to test the Naïve Bayes models' performance. From the experiment result, Complement Naïve Bayes is superior to other models, especially in handling overfitting with F1-score of approximately 0.82.

СУЧАСНІ АФОРИСТИЧНІ ВИСЛОВЛЮВАННЯ В АРАБСЬКІЙ ОНЛАЙН -КОМУНІКАЦІЇ

The texts of aphoristic orientation in the Arabic cultural and entertaining content of the social media are analysed. The subject of the study involves linguistic, sociolinguistic and pragmatic features of Arabic aphoristic Internet sayings. The analysis of more than 500 text units reveals that aphoristic posts are published online in the form of memes in order to express cultural, moral and ethical values and orientations, philosophical and aesthetic views of users, as well as for their emotional support. It was found that the main functions of aphoristic memes are emotional, communicative and phatic with such sayings mainly including motivational and narrative messages, advices, greetings, and appeals, that are often accompanied by a chain element inherent in the social networks (such as a direct call to spread the message). On top of that the thematic classification of the studied memes was offered, with the following themes being involved: human behaviour and character, emotions and experiences, moral and ethical values, philosophical reflections on the attitudes to life, human relationships, everyday life, etc. The linguistic features of expression of the binary opposition "self – other" in the context of its influence on the emotional expressiveness of the aphoristic lexicon are outlined as well. On the other hand, it is noted that the important feature of aphoristic memes is the active use of emotionally expressive lexis, colloquial elements, figures of speech (metaphors, epithets, similes, etc.), verbs of the imperative mood. The language code in the aforementioned sayings is represented primarily with Modern Standard Arabic (with minor deviations). This reflects the identity of a wide circle of Arabic-speaking online users, regardless of their affiliation with a particular ethnic, social or gender group.