Need For Clarity Research Articles

The determinant factors of continuance use of customer service chatbot in Indonesia e-commerce: extended expectation confirmation theory

Purpose The implementation of customer service chatbots in various industries is increasingly accepted globally. Previous research has not extensively explored the relationship between chatbot disclosure, technology anxiety, chatbot quality, customer experience and customer satisfaction derived from using chatbot customer service in e-commerce. Therefore, this paper aims to examine the determinant factors of customer service chatbot continuance intention by extending the expectation confirmation theory (ECT). The researchers integrate chatbot quality, technology anxiety and disclosure into ECT to comprehensively understand the phenomena. Design/methodology/approach The quantitative study uses the partial least square structural equation model disjoint two-stage approach with a sample of 310 respondents collected using purposive sampling. Findings The study reveals that perceived usefulness, confirmation and satisfaction positively affect customer service chatbot continuance intentions. Moreover, chatbot disclosure can enhance chatbot quality. However, technology anxiety negatively affects chatbot quality. Originality/value This research contributed to adapting customer service chatbots in Indonesian e-commerce, focusing on chatbot quality, technological anxiety and transparency. Furthermore, it underscores the need for clarity, addresses transaction-specific concerns and artificial intelligence-driven customer assistance in the Indonesian market.

Cultural Factors, Social Structures, and Social Determinants of Health: The Need for Clarity in Assessing Psychopathology

Abstract Over the past decade, researchers translating anthropological theories for clinical use have debated how practitioners should assess cultural factors, social structures, and social determinants of health with patients. Advocates of structural competency have suggested that clinical cultural competency programs demonstrate limited effects on health outcomes because of the static understanding of culture employed. They recommend that cultural factors be reformulated with an emphasis on social structures. In response, researchers in cultural psychiatry specializing in cultural assessments have developed three models—sociocultural formulation (SCF), the cultural-ecosocial view, and the contextual developmental assessment—to integrate cultural and structural factors. Their methods for integration, however, differ, resulting in various understandings of psychopathology mechanisms. This paper analyzes arguments from all four positions in this debate. It reveals a lack of consensus about interrelationships among these constructs, their definitions, and methods for assessment. The article concludes with recommendations, such as developing consensus definitions with broad stakeholder involvement; adopting a data-driven approach to clarify how specific cultural, social, or structural factors interact; and identifying how extant assessments capture clinically relevant factors across constructs to develop additional assessment tools.

Maintaining Skill Development of Newly Qualified Physical Education Teachers

High percentages of newly qualified teachers drop out during their first 5 years of teaching in the classroom. Often, formal support systems are put in place to overcome ‘practice shock’. Yet this practice shock is generally associated with traditional academic subjects such as mathematics, humanities and science. The often-marginalised subject of physical education can be largely neglected when newly qualified teachers are considered. One strategy to reduce practice shock is that of an established mentoring program. The large volume of literature on mentoring across an array of education subjects suggests that mentoring is a valued skill. However, while mentoring is acknowledged as an essential prerequisite for successful teacher induction, its effectiveness in physical education may vary depending on the mentor’s quality of support and the mentee’s initial professional beliefs. This article draws on a structured analysis of research-based articles on mentoring for newly graduated physical education teachers and explores the discipline between mentee and mentor to make more valid inferences about the roles, responsibilities and outcomes of mentoring. The need for clarity around a physical education teacher’s role as a mentor and associated responsibilities relative to the provision of emotional support and guidance are examined along with suggestions for explicit transmission-oriented mentoring approaches to support beginning teachers’ professional development.

Le rôle de la mémoire de travail dans l’acquisition incidente du vocabulaire en langue seconde durant la compréhension orale chez les enfants : une revue de littérature

Developing vocabulary to understand oral and written language in first language (L1) and second language (L2) is a major challenge for both adults and young learners. The learning of words also depends on the working memory (WM), which is central to human cognition and language learning; several studies have established its important role in learning L1 (Gathercole & Baddeley, 1989, 1990) and, even more so, in L2 (Baddeley & al., 1998; Gathercole & al., 1999; Service & Kohonen, 1995). Despite previous studies on the role of WM in the incidental acquisition of second language vocabulary during listening comprehension, the need for clarification on this role, especially in children, remains to be explored. The aim of this article is to present a synthesis of the literature on the role of WM in the incidental acquisition of second language vocabulary during listening comprehension in children to highlight this need for the necessary clarifications.

The Enka v. Chubb/Anupam Mittal v. Westbridge Controversies: Why Not the Hong Kong (Partial) Solution?

This paper explores the critical theme of determining the governing law of arbitration agreements amidst the intricate landscape of international arbitration. Focusing on divergent approaches from key jurisdictions, including England and Wales, Singapore, and Hong Kong, it elucidates the challenges posed by varying legal frameworks. Recent developments, such as potential statutory adjustments in England and Wales influenced by recommendations from the English Law Commission, underscore the need for clarity in governing law determinations. The controversial ‘composite test’ approach in Anupam Mittal v. Westbridge and the traditional English approach in Enka v. Chubb exemplifies the global concerns surrounding these divergent approaches, highlighting the complexities faced by common law courts worldwide. Drawing on these cases, the paper emphasizes the importance of parties expressly choosing the governing law of arbitration agreements to mitigate uncertainties. It underscores the potential positive contributions of model clauses and jurisdiction-specific approaches, such as the Hong Kong International Arbitration Centre (HKIAC) model clause and Hong Kong’s guidance for HKIAC arbitrations. The paper also addresses enforcement challenges, particularly in light of Article V(2)(b) of the New York Convention. It discusses the discretionary invocation of the public policy exception and its impact on enforcement efficacy, emphasizing the need for a holistic approach transcending contractual formalism.

The Post-COVID-19 E-Services Continuance Usage in Low-Income Countries

The COVID-19 pandemic renewed the role of digital government for conventional delivery of e-services while creating a paradigm shift for the telecommuting ecosystem. Prior to COVID-19, e-services usage had been slow in least-income countries; hence the need for clarity on whether its usage will be sustained in the post-COVID-19 era. This study sought to develop a model for the continuance usage of e-services after the COVID-19 pandemic. Quantitative data were collected from a South African government, and the designed model was validated using confirmatory factor analysis (CFA) and structural equation modelling (SEM). Results indicated that perceived usefulness (PU) and exerted pressure (EPU) are highly significant antecedents of continuance usage. Theoretically, the model contributes to technology continuance usage. It also affirms the organizational readiness for digital transformation through the use of combined technologies. Future research should focus on conceptual skills such as innovativeness, flexibility, problem-solving, emotional intelligence, and empathy needed for digital transformation.

Computing Projects Framework for Undergraduate Research

This paper outlines the guidelines and requirements for students undertaking a computing project as part of their academic program. The project is a critical component of most undergraduate programs and is designed to provide students with the opportunity to apply theoretical knowledge to practical scenarios, demonstrating their ability to plan, execute, and present a complex piece of work. Unfortunately, there is currently a lack of clear and helpful guidance on how to conduct elementary research at this level, differentiate a computing project from other types of projects, and report it effectively. This paper aims to assist both computing students and faculty in carrying out and reporting on final-year research projects. It documents the differences in research approaches across various computing disciplines and provides a guiding framework for faculty overseeing the undergraduate research process. The guidelines cover various aspects of the project process, including the development of a project proposal, conducting the research, and writing the final report. It emphasizes the importance of early planning, regular supervision, and adherence to academic standards, particularly in the presentation and documentation of the project work. Additionally, the document details the criteria for project assessment, highlighting the need for clarity, innovation, and rigor in both the practical and written components of the project. Instructions on the submission process and the responsibilities of students and supervisors throughout the project lifecycle are also included.

Освобождение от взыскания исполнительского сбора: особенности процессуальной формы

The article is devoted to the judicial review procedural features of applications for performance fee relief. Attention is drawn to the lack of unified requirements for the procedural form, legal proceeding types, remedies, statutes of limitation and the specifics of consideration of such applications. In addition, courts and scientific community present different variants of the rules application for performance fee relief. The author makes a conclusion about varying degrees of debtor`s rights protection, that unreasonably depends on the chosen type of legal proceedings. Meanwhile, the article proposes to create a unified, clear legal framework that excludes the usage of the law analogy, and it emphasises the need for clarification of procedural features at the level of the Supreme Court of Russia. Finally, the author gradually structures the procedural model for considering an application for performance fee relief, containing recommendations on the time limits for applying to the court, an appropriate remedy and other specifics of considering such disputes.

Improving Interdisciplinary Communication and Pathology Reporting for Head and Neck Cancer Resections: 3D Visualizations and Margin Reconciliation.

Surgical pathology reports play an integral role in postoperative management of head and neck cancer patients. Pathology reports of complex head and neck resections must convey critical information to all involved clinicians. Previously, we demonstrated the utility of 3D specimen and defect scanning for communicating margin status and documenting the location of supplemental margins. We introduce a newly designed permanent pathology report which improves documentation of intraoperative margin mapping and extent of corresponding supplemental margins harvested. We test the hypothesis that gaps in understanding exist for head and neck resection pathology reports across providers. A cross-sectional exploratory study using human-centered design was implemented to evaluate the existing permanent pathology report with respect to understanding margin status. Pathologists, surgeons, radiation oncologists, and medical oncologists from United States-based medical institutions were surveyed. The results supported a redesign of our surgical pathology template, incorporating 3D specimen / defect scans and annotated radiographic images indicating the location of inadequate margins requiring supplemental margins, or indicating frankly positive margins discovered on permanent section. Forty-seven physicians completed our survey. Analyzing surgical pathology reports, 28/47 (60%) respondents reported confusion whether re-excised supplemental margins reflected clear margins, 20/47 (43%) reported uncertainty regarding final margin status, and 20/47 (43%) reported the need for clarity regarding the extent of supplemental margins harvested intraoperatively. From this feedback, we designed a new pathology report template; 61 permanent pathology reports were compiled with this new template over a 12-month period. Feedback from survey respondents led to a redesigned permanent pathology report that offers detailed visual anatomic information regarding intraoperative margin findings and exact location/size of harvested supplemental margins. This newly designed report reconciles frozen and permanent section results and includes annotated radiographic images such that clinicians can discern precise actions taken by surgeons to address inadequate margins, as well as to understand the location of areas of concern that may influence adjuvant radiation planning.

Caracteristicile limbajului de lemn în comunicarea economică și tehnică

Wooden language, a complex phenomenon in economic and technical communication, represents a significant issue in the field of professional discourse. This study investigates the origin, evolution, and characteristics of wooden language, highlighting the need for clarity and conciseness in technical and economic communication. By analyzing examples and arguments, the research focuses on the impact of this type of jargon on understanding and communication efficiency. The results of this study make significant contributions to improving professional communication, emphasizing the importance of eliminating confusion and veiled expression in the use of abstract terms. This research proves to be a valuable tool for professionals in the economic and technical fields, promoting more efficient and accessible communication in these domains.

Recent updates in pediatric diffuse glioma classification: insights and conclusions from the WHO 5th edition.

The World Health Organization (WHO) Central Nervous System (CNS) Tumors Classification 5th edition (2021) integrates both molecular and histopathological criteria for diagnosing glial tumors. This updated classification highlights significant differences between pediatric and adult gliomas in terms of molecular characteristics and prognostic implications. The 5th edition comprises a new category of pediatric-type diffuse low-grade glioma (PDLGG) and pediatric-type diffuse high-grade glioma (PDHGG), classified mainly based on genetic alterations and histopathological features. We reviewed the microscopy, diagnostic molecular pathology, and prognosis of various tumors under the categories PDLGG and PDHGG. The review also addresses the need for clarification concerning overlapping diagnostic features. PDLGG are characterized by diffuse growth, low-grade morphology, and MYB/MYBL1(MYB Proto-Oncogene Like 1) gene fusion or mitogen-activated protein kinase (MAPK) pathway alterations. In contrast, PDHGG is described by diffuse growth, high-grade morphology, and increased mitosis and often shows alterations of histone gene resulting in epigenetic alterations, which contrasts with common isocitrate dehydrogenase (IDH) mutation and epidermal growth factor receptor (EGFR) amplification seen in adult-type high-grade glioma.

Nurses' perceptions of the design, implementation, and adoption of machine learning clinical decision support: A descriptive qualitative study.

The purpose of this study was to explore nurses' perspectives on Machine Learning Clinical Decision Support (ML CDS) design, development, implementation, and adoption. Qualitative descriptive study. Nurses (n = 17) participated in semi-structured interviews. Data were transcribed, coded, and analyzed using Thematic analysis methods as described by Braun and Clarke. Four major themes and 14 sub-themes highlight nurses' perspectives on autonomy in decision-making, the influence of prior experience in shaping their preferences for use of novel CDS tools, the need for clarity in why ML CDS is useful in improving practice/outcomes, and their desire to have nursing integrated in design and implementation of these tools. This study provided insights into nurse perceptions regarding the utility and usability of ML CDS as well as the influence of previous experiences with technology and CDS, change management strategies needed at the time of implementation of ML CDS, the importance of nurse-perceived engagement in the development process, nurse information needs at the time of ML CDS deployment, and the perceived impact of ML CDS on nurse decision making autonomy. This study contributes to the body of knowledge about the use of AI and machine learning (ML) in nursing practice. Through generation of insights drawn from nurses' perspectives, these findings can inform successful design and adoption of ML Clinical Decision Support.

Navigating Ambiguity: Critiques of Indonesia's Health Law and its Impact on Legal Redress for Medical Malpractice Victims

In Indonesia, the fundamental right to health is enshrined in the 1945 Constitution, affirming every person's entitlement to live a safe and prosperous life with access to health services. The 2023 Health Law focuses on six pillars, including health security, funding, human resources, technology, primary care, and referral services, aiming to alleviate financial burdens through progressive financing. Particularly significant is the procedural change in protecting health workers, notably medical personnel, through the implementation of restorative justice methods. This article critically examines the implications of the 2023 Health Law on victim redress, particularly concerning medical personnel protection and the application of restorative justice in life-threatening medical error cases. However, the provision regarding the handling of medical personnel facing criminal allegations and disciplinary sanctions raises concerns regarding clarity and implementation. Ambiguities surrounding key terms and the prioritization of restorative justice mechanisms without clear guidelines may result in delays and inconsistencies in the legal process. This study sheds light on the need for clarity and refinement in legal frameworks to ensure the protection of both medical personnel and patients while promoting accountability and justice within the healthcare system.

A review of Explainable Artificial Intelligence in healthcare

Explainable Artificial Intelligence (XAI) encompasses the strategies and methodologies used in constructing AI systems that enable end-users to comprehend and interpret the outputs and predictions made by AI models. The increasing deployment of opaque AI applications in high-stakes fields, particularly healthcare, has amplified the need for clarity and explainability. This stems from the potential high-impact consequences of erroneous AI predictions in such critical sectors. The effective integration of AI models in healthcare hinges on the capacity of these models to be both explainable and interpretable. Gaining the trust of healthcare professionals necessitates AI applications to be transparent about their decision-making processes and underlying logic. Our paper conducts a systematic review of the various facets and challenges of XAI within the healthcare realm. It aims to dissect a range of XAI methodologies and their applications in healthcare, categorizing them into six distinct groups: feature-oriented methods, global methods, concept models, surrogate models, local pixel-based methods, and human-centric approaches. Specifically, this study focuses on the significance of XAI in addressing healthcare-related challenges, underscoring its vital role in safety-critical scenarios. Our objective is to provide an exhaustive exploration of XAI's applications in healthcare, alongside an analysis of relevant experimental outcomes, thereby fostering a holistic understanding of XAI's role and potential in this critical domain.

Person and Family Centredness—The Need for Clarity of Focus

Congratulations to the editorial team of the European Burn Journal for having the vision to host a Special Issue on the theme of “Person-Centred and Family-Centred Care Following Burn Injuries” [...]

Hotel demand forecasting models and methods using artificial intelligence: A systematic literature review

This systematic literature review (SLR) explores current state-of-the-art artificial intelligence (AI) methods for forecasting hotel demand. Since revenue management (RM) is crucial for business success in the hotel industry, this study aims to identify state-of-the-art effective AI-based solutions for hotel demand forecasting, including machine learning (ML), deep learning (DP), and artificial neural networks (ANNs). The study conducted an SLR using the PRISMA model and identified 20 papers indexed in Scopus and the Web of Science. It addresses the gaps in the literature on AI-based demand forecasting, highlighting the need for clarity in model specification, understanding the impact of AI on pricing accuracy and financial performance, and the challenges of available data quality and computational expertise. The review concludes that AI technology can significantly improve forecasting accuracy and empower data-driven decisions in hotel management. Additionally, this study discusses the limitations of AI-based demand forecasting, such as the need for high-quality data. It also suggests future research directions for further enhancing AI forecasting techniques in the hospitality industry.

Emerging Concepts of Mechanisms Controlling Cardiac Tension: Focus on Familial Dilated Cardiomyopathy (DCM) and Sarcomere-Directed Therapies.

Novel therapies for the treatment of familial dilated cardiomyopathy (DCM) are lacking. Shaping research directions to clinical needs is critical. Triggers for the progression of the disorder commonly occur due to specific gene variants that affect the production of sarcomeric/cytoskeletal proteins. Generally, these variants cause a decrease in tension by the myofilaments, resulting in signaling abnormalities within the micro-environment, which over time result in structural and functional maladaptations, leading to heart failure (HF). Current concepts support the hypothesis that the mutant sarcomere proteins induce a causal depression in the tension-time integral (TTI) of linear preparations of cardiac muscle. However, molecular mechanisms underlying tension generation particularly concerning mutant proteins and their impact on sarcomere molecular signaling are currently controversial. Thus, there is a need for clarification as to how mutant proteins affect sarcomere molecular signaling in the etiology and progression of DCM. A main topic in this controversy is the control of the number of tension-generating myosin heads reacting with the thin filament. One line of investigation proposes that this number is determined by changes in the ratio of myosin heads in a sequestered super-relaxed state (SRX) or in a disordered relaxed state (DRX) poised for force generation upon the Ca2+ activation of the thin filament. Contrasting evidence from nanometer-micrometer-scale X-ray diffraction in intact trabeculae indicates that the SRX/DRX states may have a lesser role. Instead, the proposal is that myosin heads are in a basal OFF state in relaxation then transfer to an ON state through a mechano-sensing mechanism induced during early thin filament activation and increasing thick filament strain. Recent evidence about the modulation of these mechanisms by protein phosphorylation has also introduced a need for reconsidering the control of tension. We discuss these mechanisms that lead to different ideas related to how tension is disturbed by levels of mutant sarcomere proteins linked to the expression of gene variants in the complex landscape of DCM. Resolving the various mechanisms and incorporating them into a unified concept is crucial for gaining a comprehensive understanding of DCM. This deeper understanding is not only important for diagnosis and treatment strategies with small molecules, but also for understanding the reciprocal signaling processes that occur between cardiac myocytes and their micro-environment. By unraveling these complexities, we can pave the way for improved therapeutic interventions for managing DCM.

SunPeek Open-Source Software for ISO 24194 Performance Assessment and Monitoring of Large-Scale Solar Thermal Plants

ISO 24194:2022, the first standard specifically designed to assess the operational performance of solar thermal collector arrays, is likely to have substantial impact on the entire solar thermal industry. This standard introduces the Power Check, a method that can be used for monitoring ongoing plant operation and for checking performance guarantees. However, its practical use is presently limited, as initial applications indicate a need for clarification, and it exists as a mere paper description, rendering it less accessible for plant designers and operators. Furthermore, any implementation necessitates practical decisions regarding data handling and algorithm implementation. Closed-source implementations, lacking a traceable and transparent framework, could lead to inconsistent results. To address these issues, this paper introduces SunPeek, an open-source software that provides a reference implementation of the ISO 24194 Power Check. SunPeek is freely accessible for both scientific and commercial purposes. This paper also discusses existing limitations of ISO 24194 and showcases five examples of SunPeek applied to real-life solar thermal plants. This underscores potential practical challenges, such as handling stagnation events, and highlights methodological progress, such as improved data filtering for performance analyses. The findings and applications indicate SunPeek’s usability and the high potential for ISO 24194-based performance monitoring of solar thermal plants.

From art to health action: lessons from a community-based, culturally tailored arts-meets-health educational campaign in Hispanic communities.

Robust digital and community-led approaches are needed to combat health misinformation, as highlighted by the COVID-19 pandemic. Such gaps in public health outreach, compounded by systemic health barriers, contributed to higher rates of COVID-19 infection, mortality, and mental health effects among Hispanics during the peak of the pandemic. Thus, we conducted a community-based art-meets-health intervention [Stay Connected Los Angeles (SCLA)] to address the impacts of the COVID-19 pandemic in Hispanic communities. Led by local artists in collaboration with public health specialists and community members, SCLA used multimedia to promote infection mitigation behaviors and psychological well-being among the 120,000 residents of Eastern Los Angeles. Campaign materials were designed with input from community representatives and included digital media, large-scale murals, and comic-book style pieces. Two semi-structured focus groups (one in English and another in Spanish) were conducted to solicit participants' views on attributes of the campaign. Independent coders analyzed transcripts and applied thematic analysis to summarize key learnings regarding central health and mitigation messages, media modalities, how health information would be communicated, and the ideal spokespersons for delivering health-related messages. Focus group participants emphasized the effectiveness of social media, GIFs, and references to popular media. Further, youth involvement in the creative process was deemed to be important. Participants highlighted the need for clarity in public health messaging and adaptation of visual campaigns to the preferences of diverse age groups through different art styles. Finally, community leaders were found to be critical health information sources. As a model of a culturally tailored arts-meets health public education campaign, SCLA yielded valuable information on how to structure future public health messaging and media to create a meaningful improvement in health knowledge, mental well-being, and compliance with mitigation behaviors in communities that are often overlooked. Contributions from local artists can heighten appeal and acceptability of messages.

Vom Chaos zur Klarheit. Die Neuordnung der Apfel TCP Gen-Benennung

Apple Proliferation (AP) is a widespread disease affecting apple orchards throughout Europe, including South Tyrol.The disease is associated with a phytoplasma, 'Candidatus Phytoplasma mali' ('Ca. P. mali'), which manipulates the plant's physiological processes through the secretion of small peptides called effectors. One well-studied phytoplasma effector is SAP11, which targets Teosinte Branched 1/Cycloidea/Proliferating Cell Factor 1 (TCP) genes in multiple plant species, including apple. TCP genes encode plant-specific transcription factors involved in various biological processes, such as growth, development, and responses to stimuli. The identification and naming of TCP genes have been inconsistent, leading to confusion and redundancy in sequence databases. In apple, 52 TCP genes (MdTCP) were identified in 2014 on the 2010 assembly of the apple genome, which is now considered outdated. To address this issue, a comprehensive investigation was conducted to identify and name TCP genes in apple using the high-quality genome assembly, GDDH13v1.1. Existing TCP sequences were aligned with the genome excluding redundant, fragmented, and non-TCP sequences. The revised set comprised 40 unique MdTCPs, including three novel genes. To establish a standardised nomenclature, each MdTCP was BLASTedagainst the Arabidopsis thaliana gene database, in order to identify the best hits for each MdTCP. The MdTCP genes were then renamed, incorporating the letter "a" or "b" to differentiate between MdTCPs showing homology to the same AtTCP, and also between the existing and proposed nomenclatures. The present study highlights the need for clarity and organisation in sequence databases, especially in respect of TCP genes. The presence of redundant and fragmented sequences in databases complicates accurate identification and annotation of genes. By providing a comprehensive and standardised nomenclature system, we aim to enhance the coherence and interoperability of future TCP gene research in plant and crop science. In our view, this work will serve as a valuable resource for researchers studying TCP genes in apple and will provide insights into the evolutionary dynamics and functional roles of TCP genes in plants.