bluuebunny/crossref_metadata_2025 huggingface dataset:
Allemagne. Les stratégies d’IG Metall en matière de négociation collective : à l’est, rien de nouveau ?
Authors: Whittall Michael , Artus Ingrid , Fischer Andreas , Holland Judith
Published: September 2023

Résumé Le présent article analyse le développement de la négociation collective dans l’industrie métallurgique et électrique en Thuringe et en Saxe. L’Allemagne de l’Est est généralement considérée comme une entité où la couverture conventionnelle est faible, et la convention collective de branche en crise. Nous proposons toutefois une perspective moins pessimiste et montrons comment IG Metall a réussi à y promouvoir les conventions collectives d’entreprise afin d’enrayer le recul de la couverture conventionnelle ; cette stratégie a contribué à stabiliser le nombre de membres du syndicat et d’entreprises couvertes par une convention collective.
L’accompagnement des étudiants en soins infirmiers avec une dyslexie. État des lieux en France en 2022 et perspectives
Authors: Macaire Guillaume , Marchand Claire , Margat Aurore
Published: September 2023

Introduction : le nombre d’étudiants en situation de handicap augmente dans l’enseignement supérieur. La dyslexie en constitue la forme la plus fréquente. Peu de communications sur ce sujet ciblent les formations en santé en France. Objectifs : l’enquête menée cherchait à caractériser et à comprendre l’accompagnement mis en place en instituts de formations en soins infirmiers (Ifsi) au regard de la dyslexie. Méthodes : une enquête mixte a été réalisée en 2022 principalement auprès de référents handicap en Ifsi. Un questionnaire national a recueilli 113 réponses de métropole et d’Outre-Mer, puis trois focus groups ont réuni 28 participants originaires de dix régions différentes. Résultats : au moment de l’étude, les mesures les plus fréquentes concernaient les évaluations et la communication institutionnelle. Cependant, elles manquaient de structuration. Des zones lacunaires persistaient, notamment en stage professionnel. Discussion : au-delà des référents handicap, l’ensemble des acteurs doivent être sensibilisés aux besoins des étudiants avec une dyslexie. Une plus grande visibilité du handicap pourrait également faire évoluer les mentalités dans le milieu soignant. Conclusion : l’accompagnement spécifique concernant la dyslexie est initié en Ifsi. Son développement nécessite un changement de regard des parties prenantes. Il pourra secondairement se prolonger à d’autres formations en santé.
Mieux connaître le profil des infirmières titulaires d’un doctorat en sciences ou doctorantes exerçant en France : une étude descriptive quantitative
Authors: Cartron Emmanuelle , Quindroit Paul , Bentz Sophie , Mottaz Anne-Marie , Lecordier Didier , Jovic Ljiljana
Published: September 2023

Introduction : en 2009, l’Association de recherche en soins infirmiers avait recensé 54 infirmières titulaires d’un doctorat et doctorantes. Parmi les intérêts récents de s’engager dans des cursus académiques figure la création, en 2019, de la section 92 « sciences infirmières » au Conseil national des universités, rendant possible en France l’accès au corps d’enseignants-chercheurs à des infirmières. Objectifs : actualiser et compléter les données de 2009 en identifiant les grades, les domaines d’activité, les disciplines des infirmières titulaires d’un doctorat ou doctorantes. Méthode : une étude quantitative descriptive a été réalisée par un questionnaire en ligne, entre le 01/12/2021 et le 22/03/2022. Résultats : 147 participants, exerçant en France, ont été inclus, dont 75 infirmières titulaires d’un doctorat et 72 doctorantes. La majorité des répondants étaient des femmes, avaient un grade d’encadrement et exerçaient une activité professionnelle dans le domaine de la formation. Le plus grand nombre de doctorats a été obtenu en sciences de l’éducation ; cette discipline est moins représentée chez les doctorantes. Discussion : cette étude montre une évolution des caractéristiques des infirmières doctorantes et des disciplines des doctorats obtenus ou en cours, une valorisation du diplôme notamment en recherche mais un faible accès aux fonctions académiques.
Internet-Based Cognitive-Behavioral Therapy for Individuals Experiencing Panic Attacks: A Scoping Literature Review
Authors: Miqdadi Ahmad I. , Chong Mei-Chan , Yoong Tang Li , Koh Ong-Hui , Alhadidi Majdi
Published: September 2023

Panic attacks (PAs) are prevalent and highly comorbid with various physical and psychological disorders. Cognitive-behavioral therapy (CBT) is a well-established psychosocial intervention. Internet-delivered CBT (ICBT) presents a promising avenue to overcome barriers and provide evidence-based support to those in need. The current scoping review aimed to systematically map the existing literature and identify knowledge gaps regarding the impact of ICBT on outcome measures for individuals experiencing PAs. The PRISMA guidelines for scoping reviews were used. A total of 3,044 records were retrieved, and 18 studies from 2013 to 2023 were ultimately included in the analysis. ICBT demonstrated effectiveness as a psychosocial intervention for improving panic symptoms and anxiety in individuals with PAs. However, the impact of ICBT on quality of life (QOL) remains inconclusive. All studies included in this review focused on assessing the severity of panic symptoms, with limited emphasis on measuring QOL. This scoping review holds significant implications for research and practice. However, further addressing the research needs identified in this review will enhance our understanding and improve treatment outcomes for PAs. [
Journal of Psychosocial Nursing and Mental Health Services, 62
(4), 9–15.]
Effects of Workplace Violence on Emotional Distress
Authors: Woo SoHyun , Choi Heeseung , Shin Soyoun
Published: September 2023

The current study assessed the effects of workplace violence (WPV) and fear related to WPV on community mental health (CMH) workers' emotional distress. This cross-sectional study used structural equation modeling (SEM) and comprised participants who were CMH workers in Korea. We used WPV questionnaires and the Korean version of the Patient-Reported Outcomes Measurement Information System® item bank to evaluate emotional distress. SEM data from 763 workers revealed significant positive effects of WPV on anxiety (β = 0.23,
p
= 0.009) and anger (β = 0.26,
p
= 0.007), and significant positive effects of fear related to WPV on anxiety (β = 0.21,
p
= 0.004) and anger (β = 0.19,
p
= 0.002). Preventive measures significantly mediated the relationship between WPV and emotional distress and between fear related to WPV and emotional distress. Findings verified the relationship between WPV and workers' emotional distress and the mediating role of preventive measures. [
Journal of Psychosocial Nursing and Mental Health Services, 62
(4), 24–32.]
Improving Anxiety and Depression in Pregnant Mothers Participating in Nurse Home Visitation
Authors: Knight Candace , Johnson Karmie M. , Keane Kevin , Mckitt Taishayla , Fenn Haley
Published: September 2023

The perinatal period is a time of significant adjustment for mothers, which may lead to alterations in mood that affect maternal mental health, which may also impact child development. The current article details the effectiveness of the addition of a psychiatric–mental health nurse practitioner (PMHNP) and mental health training for nurses on the anxiety and depression screening scores of mothers enrolled in a home visitation program. For clients with elevated anxiety and depression scores, the percentages of those who were referred to and received mental health services increased after the program's addition of the PMHNP and mental health training. Implications for future research and practice include continued focus on maternal mental health with improved access to assessment and treatment for all clients within home visitation. [
Journal of Psychosocial Nursing and Mental Health Services, 62
(4), 49–55.]
Energy equality in the isentropic compressible Navier-Stokes-Maxwell equations
Authors: Zhang Jie , Huang Gaoli , Wu Fan
Published: September 2023

This paper concerns energy conservation for weak solutions of compressible Navier-Stokes-Maxwell equations. For the energy equality to hold, we provide sufficient conditions on the regularity of weak solutions, even for solutions that may include exist near-vacuum or on a boundary. Our energy conservation result generalizes/extends previous works on compressible Navier-Stokes equations and an incompressible Navier-Stokes-Maxwell system.
Multi-stable and spatiotemporal staggered patterns in a predator-prey model with predator-taxis and delay
Authors: Xing Yue , Jiang Weihua , Cao Xun
Published: September 2023

The effects of predator-taxis and conversion time delay on formations of spatiotemporal patterns in a predator-prey model are explored. First, the well-posedness, which implies global existence of classical solutions, is proved. Then, we establish critical conditions for the destabilization of the coexistence equilibrium via Turing/Turing-Turing bifurcations by describing the first Turing bifurcation curve; we also theoretically predict possible bistable/multi-stable spatially heterogeneous patterns. Next, we demonstrate that the coexistence equilibrium can also be destabilized via Hopf, Hopf-Hopf and Turing-Hopf bifurcations; also possible stable/bistable spatially inhomogeneous staggered periodic patterns and bistable spatially inhomogeneous synchronous periodic patterns are theoretically predicted. Finally, numerical experiments also support theoretical predictions and partially extend them. In a word, theoretical analyses indicate that, on the one hand, strong predator-taxis can eliminate spatial patterns caused by self-diffusion; on the other hand, the joint effects of predator-taxis and conversion time delay can induce complex survival patterns, e.g., bistable spatially heterogeneous staggered/synchronous periodic patterns, thus diversifying populations' survival patterns.
Simulation of carbon peaking process of high energy consuming manufacturing industry in Shaanxi Province: A hybrid model based on LMDI and TentSSA-ENN
Authors: Hou Ke , Sun Jianping , Dong Minggao , Zhang He , Li Qingqing
Published: September 2023

To achieve the goals of carbon peaking and carbon neutrality in Shaanxi, the high energy consuming manufacturing industry (HMI), as an important contributor, is a key link and important channel for energy conservation. In this paper, the logarithmic mean Divisia index (LMDI) method is applied to determine the driving factors of carbon emissions from the aspects of economy, energy and society, and the contribution of these factors was analyzed. Meanwhile, the improved sparrow search algorithm is used to optimize Elman neural network (ENN) to construct a new hybrid prediction model. Finally, three different development scenarios are designed using scenario analysis method to explore the potential of HMI in Shaanxi Province to achieve carbon peak in the future. The results show that: (1) The biggest promoting factor is industrial structure, and the biggest inhibiting factor is energy intensity among the drivers of carbon emissions, which are analyzed effectively in HMI using the LMDI method. (2) Compared with other neural network models, the proposed hybrid prediction model has higher accuracy and better stability in predicting industrial carbon emissions, it is more suitable for simulating the carbon peaking process of HMI. (3) Only in the coordinated development scenario, the HMI in Shaanxi is likely to achieve the carbon peak in 2030, and the carbon emission curve of the other two scenarios has not reached the peak. Then, according to the results of scenario analysis, specific and evaluable suggestions on carbon emission reduction for HMI in Shaanxi are put forward, such as optimizing energy and industrial structure and making full use of innovative resources of Shaanxi characteristic units.
VOLUNTARY DISCLOSURE AND EQUITY FINANCING IN BRAZIL
Authors: Rody Paulo Henrique Amaral , Nossa Valcemiro , Nossa Silvania Neris , Moreira Nádia Cardoso
Published: September 2023

The objective of this study was to verify whether, in the Brazilian market, voluntary disclosure is able to increase the amount of financing through issuance of equity, and conversely, to analyze if the amount of financing through equity increases firms’ voluntary disclosure level. It was made empirical research, using two multiple linear regression econometric models, we found the following results for the period studied (2010-2017): (i) the higher the level of voluntary disclosure, on average, the greater was the amount of equity financing of nonfinancial companies listed on the B3 (Brazilian Securities Exchange - Brasil Bolsa Balcão S.A.); and (ii) the greater the amount of equity financing, on average, the higher was the level of voluntary disclosure of nonfinancial companies listed on the B3. The relevance of this study, national and international, is to provide empirical evidence of the possibility of increasing the volume of financing through issuing shares by means of voluntary disclosure. Social implications, on the other hand, are the use of empirical results to help investors and regulators in decisions about the market's reaction to voluntary information.
Introduction to the Cyber-Security Landscape
Authors: M. V. Manoj Kumar , Shiva Darshan S. L. , B. S Prashanth , Yarlagadda Vishnu
Published: September 2023

The importance of cybersecurity in the contemporary digital age is profound. In this chapter, the authors will traverse through the complex and evolving landscape of cybersecurity, exploring its progression, the driving forces behind it, the key challenges it faces, and its future trajectory. With an in-depth analysis of various threat actors and types of cyber threats, the authors will delve into the tools and technologies developed to combat these threats. The authors also explore and compare different cybersecurity approaches, studying their effectiveness and their implications. Through real-world case studies of major cyber-attacks, the chapter will provide insightful lessons learned and the impact they had on the cybersecurity landscape. We will also discuss the often-overlooked human factor in cybersecurity, focusing on the significance of cybersecurity training and the psychology of social engineering attacks. By providing a comprehensive overview of the field, this chapter aims to equip the reader with a well-rounded understanding of cybersecurity.
Discernment and Perusal of Software Vulnerability
Authors: Kaur Guneet , Bansal Urvashi , Verma Harsh K. , Sikka Geeta , Awasthi Lalit K.
Published: September 2023

The examination of vulnerabilities is vital to network security, and finding the route to the flaw's source is essential for the analysis and mitigation of software vulnerabilities that attackers can exploit. The automation of secure software development can be easily achieved by using vulnerability ID. Prior to this, manually tagged communications with vulnerability ID was a laborious process that had scalability problems and room for human mistakes. To facilitate code examination, several vulnerability detection techniques have been developed and to support code inspection, several vulnerability detection techniques have been developed. A series of research that uses machine learning approaches and provide encouraging outcomes are among these strategies. This chapter discusses recent research trend that uses deep learning to identify vulnerabilities and demonstrates how cutting-edge neural approaches are used to identify potentially problematic code patterns. It also highlights a few publications from research that have analyzed vulnerability identification using deep learning.
Knowledge Repository on Cyber Security
Authors: Sinha Kunal , Senapati Kishore Kumar
Published: September 2023

Cyber-attacks are serious problems for the IT sector. According to a survey, 66 percent of businesses have experienced these attacks. It's difficult and tiresome to fend against these attacks. Cyber analysts are now studying hacker intentions and purposes for incidents in addition to analysing cyber occurrences as a result of the rise in cyberattacks. DBMS may also establish itself as a key technology in the field of computer security and addressing cyber threats among the several technologies being designed and developed to avoid cybercrime. Research on cybercrime and hacker's interpretation can be honed with the use of DBMS. Through its logical and physical models and query processing, it aids in supplying sufficient knowledge to understand upcoming cyber-attacks.
Issues, Current Challenges, and Research Directions in Designing a Smart, Explainable AI-Based Healthcare Systems
Authors: Rajeshwari B. S. , Namratha M. , Nayak Jyothi S.
Published: September 2023

Artificial intelligence has recently gained great importance in healthcare and has played an important role in the making the lives of patients, doctors, radiologists, clinical laboratories, emergency medical services, etc., better. Remote health monitoring is possible in less time and low cost for rural areas where doctors are not available all the time. Assistance is provided to the medical professionals when required in the time of emergency through deep learning algorithms which is beneficial. The anomalies in the medical images can be easily detected and predicted with the help of AI, which were impossible to detect by the human eye, thus adding extra value for the healthcare sector. The lack of specialized medical professionals and increasing number of patients with lifestyle diseases necessitate the digitization for the mundane tasks of healthcare. Explainable AI is important in healthcare sector, where the consequences of incorrect AI predictions or decisions can be severe.
Adaptability of IoT and Cloud for Enabling the Smart City
Authors: Sharma Archana , Jain Prateek
Published: September 2023

The ‘smart city' notion places a lot of emphasis on using information and communication technologies to boost connectedness and quality of life and effectiveness of various local authorities (ICT). Smart city services stimulate the practice of cloud- and IoT-based services that have included actual web applications that make use of sensors, smart phones, and RFIDs. Cloud platforms besides the IoT persist the two ICT models that are currently dealing the greatest influence on the Industrial IoT as well. Both concepts significantly influence the way it has developed and put into practice applications and smart city solutions. The first phase of this study highlights key features of IoT and Cloud along with smart city applications. Further in the second phase the research investigates the confluence of cloud platforms with IoT to build up the smart city besides various challenges associated in smart city implementation. Lastly, the research focuses on the smart cities' requirement for cloud-based IoT applications and provides the future direction in adaptability of smart city.
An Alert and Detection System for Cyber-Attacks on IoT Devices
Authors: V. Arun Raj , M. Mohamed Arshad , Mathew F.
Published: September 2023

The internet of things (IoT) is still in its early stages, but it has sparked interest in a wide range of industries, including healthcare, logistics tracking, smart cities, and transportation. However, it is also vulnerable to a variety of serious network infiltration concerns. This chapter contributes to attack detection and alert system for IoT networks. This system provides alert and detection of cyber-attacks at the router level by configuring Rpi as a wireless router for IoT network. For the detection method, the authors used an anomaly-based approach that learns the packets in the network using deep learning. IoTID20 dataset is used for training the deep learning model. This model detects four kinds of attack: DoS, MITM, port scan, and scan. When the attack is detected, the user is alerted via e-mail and SMS.
Future Indian Smart Cities' Renewable Energy Scenarios
Authors: Badi Manjulata , Mahapatra Sheila , Raj Saurav , G. Swetha Shekarappa
Published: September 2023

Due to the growing energy shortage and rising global temperatures, sustainable development has become more of a necessity than ever before. While renewable energy, sustainable energy resources, and a focus on low carbon emissions in the power system all contribute to sustainable development, these concepts must be coordinated if they are to have a lasting impact. These complications present a new set of challenges in the process of integrating renewables to the existing grid structure, including intermittency, system utilization efficiency, and others. The rest of this chapter deals with the topic of sustainable development and explores the various options for shifting power generation from traditional fossil fuel-powered sources to renewable energy. As renewable energy is employed, additional clean energy such as solar energy, wind energy, and photovoltaic systems will be added to the existing grid. There is another benefit to the net metering program.
Smart Cities
Authors: deMatos Nelson , Ramos Célia M. Q.
Published: September 2023

Human and technological development allowed cities to be built upon structures to increase the quality of life of their citizens. But evolution also brought challenges like high consumption patterns and reduced natural resources. The chapter aims to provide common ground among the main concepts of smart cities and shed light on the often-elusive framework of the “smart city,” highlighting the need to incorporate a more holistic approach and integrate sustainable quality of life. A conceptual model was proposed and discussed, framing the dimensions: nature, infrastructure, technology, services, sustainability, and social. The influence of technology to better manage was also taken into account, without neglecting the importance of efficiency and innovation in a holistic system. The conclusions reinforce the composite nature, the need for more consistency, measurement scales, and the interconnectivity between management and its citizens, which is needed for better population well-being.
A Framework for Knowledge-Based Leadership for Improved Risk Management in State-Owned Enterprises in South Africa
Authors: Phaladi Malefetjane Phineas , Marutha Ngoako Solomon
Published: September 2023

The purpose of this chapter is to investigate a framework for knowledge-based leadership for improved risk management in state-owned enterprises in South Africa. The study empirically explored the influence and role of knowledge-based leadership in driving knowledge management and human resource management practices for effective knowledge risk management. Exploratory sequential mixed methods research design was used as the overall strategy to guide data collection for the project. In the qualitative strand, data were gathered through interviews with 20 purposively nominated human resource managers. In the quantitative strand, 145 responses collected through survey instrument were used to test variables discovered in the first strand. A lack of knowledge-based leadership contributed to the absence of knowledge strategy and practices, knowledge-driven culture, structural configurations and roles, and ineffective tacit knowledge loss risks management. The chapter proposes a knowledge-based leadership framework to mitigate tacit knowledge risks in state-owned enterprises.
Invisible Disabilities in the Workplace Are a Significant Public Health Issue and How Employee Assistance Programs Can Be a Solution
Authors: Burrell Darrell Norman , Morin Stacey , Burton Sharon L. , Richardson Kevin , Jones Laura Ann
Published: September 2023

Employment is a crucial factor in achieving economic security and self-sufficiency, yet individuals with disabilities often face significant barriers to accessing meaningful and gainful employment opportunities. According to the United States Census Bureau, individuals with disabilities are 65 percent less likely to be employed than those without disabilities. This discrepancy is due, in large part, to limited diversity, equity, inclusion interventions, and knowledge in the workplace on invisible disabilities. This chapter looks to explore the nature of this issue through management consulting intervention with a hospital with significant disability discrimination.
Agile Leadership in Navigating Change Management and Its Application Within the Food and Beverage Industry During the COVID-19 Pandemic
Authors: Larmond Dewaine Alexander
Published: September 2023

This chapter delves into the dynamic landscape of change management in modern business, unveiling actionable strategies. By synthesizing industry literature and expert insights, it underscores the paramount role of agile leadership, particularly in the challenging domain of the COVID-19 pandemic. Exemplary instances from various industries illuminate essential approaches adopted by leaders to ensure unswerving continuity, enhanced safety, and resounding success. The chapter centers around a prominent Canadian sports facility, where food and beverage revenue is pivotal, spotlighting the adept application of both Lewin's unfreeze-change-refreeze approach and Kotter's 8-step model for change. This analysis elucidates critical takeaways encompassing adaptation, diversification, transparent processes, technological integration, and the strategic elevation of health priorities—cornerstones for sustained viability.
Emotional Intelligence
Authors: McCrory-Churchill Shannon L.
Published: September 2023

This chapter is an overview of the concept of emotional intelligence (EI) and how it applies to organizational leadership. It will explore the origins, viewpoints, and how emotional intelligence differs from intelligence quotient (IQ). It has been demonstrated across the literature that EI has as much, if not more, impact on both personal and professional success. This chapter will address the importance of EI as well as why it makes a difference in the workplace. The chapter leans heavily on the work of Daniel Goleman who first popularized the concept in the mid 1990s. The chapter will further explore common assessments, and ways to increase emotional intelligence.
Transforming Leaders and Driving Organizational Success in a Global Context
Authors: Hilton Marsha R. , Harriott Suzzette A.
Published: September 2023

This chapter explores transformational leadership within the complex milieu of a global context, focusing on three core elements: emotional intelligence (EQ), perfectionism, and moral compass. The research scrutinizes the interplay of these components and their impact on effective leadership, especially amidst external challenges such as pandemics, war, and artificial intelligence (AI) advances. It introduces the triadic leadership theory (TLT), highlighting its relevance and implications in the international arena. The TLT, acknowledging the globalized setting, posits that EQ, perfectionism, and moral compass form an interconnected triad that leaders can leverage to drive organizational success. The chapter ends with a reflection on the limitations of the current study, suggesting areas for future research.
“From Where Should We Work?”
Authors: Leong Bryan Ji Yang , Mohammed Zareef
Published: September 2023

The COVID-19 pandemic forced organizations to re-evaluate the ways in which they conduct business—specifically, how they allow employees to work. Changes to organizational culture and the demands of today's workforce have brought about a revolution in the work arrangement universe—and a possible death to the traditional ‘full-time in office' model. Through the analysis of Twitter sentiment regarding three types of work arrangement preferences, this study observes the preference for flexibility in work modes—a combination working from home + office (hybrid work). Random forest models were able to predict a worker's specific preference to an accuracy of ~68%. Such findings can help businesses continue to sharpen their work arrangement policies that take into consideration trends among the American working populace to ultimately build an effective employment model that will help their organization thrive.
Pairing Leadership and Andragogical Framework for Maximized Knowledge and Skill Acquisition
Authors: Wang Viktor , Gordon Kimberley
Published: September 2023

Is andragogy the elixir for organizational instability? Organizational survival in the post-pandemic world means navigating through the great resignation and ensuing labor market shortage to find the most efficient manners in which to conduct business. Perhaps in a nod to the evolution of the virus, only those organizations that have evolved will survive the onslaught of stressors. Many organizational leaders are looking to their existing workforces for solutions. Organizations with a strategic approach towards training and development appreciate the return on investment such programs may provide if the training is effective in expanding the employee skillsets. The leadership of this mindset is guardedly optimistic. To ensure training and development program success, leadership must understand adult learners acquire information differently than children. This article examines differences in knowledge acquisition between children and adults. It delves into the constructs associated with andragogy including theories associated with self-directed learning and enhanced self-concepts.
Comments on: Electromyographic signature of isometric squat in the highest refuge in Europe
Authors: Šarabon Nejc , Sašek Matic
Published: September 2023

We read with particular interest the study by Rua et al. (Eur J Transl Myol 33 (3) 11637, 2023 doi: 10.4081/ejtm.2023.11637) on the electromyographic (EMG) activity of the quadriceps muscle during squat at high-altitude. It offers interesting insights into how neural factors might alter muscle function during a multi-joint low-intensity motor task with sustained contraction after trekking under hypoxic conditions. However, the methodological processes and procedures used in the study could bias the interpretation of the outcomes. Therefore, we outline the procedural considerations that should be taken into account in further studies aimed at investigating the potential changes in quadriceps EMG activity during the squat as a result of trekking at high-altitude.
Predictors of mortality with multisystem inflammatory syndrome in children (MIS-C): A single centre prospective observational study from Eastern India
Authors: Meher Bijay Kumar , Panda Isha , Sahoo Jyoti Prakash , Acharya Geetachand , Mohanty Martina , Naik Sarthak , Jena Pradeep Kumar , Mohakud Nirmal Kumar
Published: September 2023

Background:

Many cases of multisystem inflammatory syndrome in children (MIS-C) are reported in post-COVID-19 cases. It is a serious complication of COVID-19, with a high mortality rate in low-income countries compared to high-income countries. This study was conducted to find out predictors of mortality in MIS-C.

Subjects and Methods:

In this prospective observational study, 81 children with MIS-C were enrolled. Detailed clinical features, laboratory parameters, treatment, and outcome of cases were recorded. After the determination of individual factors associated with mortality by univariate analysis, a binary logistic regression model of significant factors associated with mortality was developed.

Results:

Fever, breathlessness, conjunctivitis, and pain abdomen were major presenting complaints at admission. Fifty-seven (70.3%) were presented with shock, of which 31 (54.4%) had normotensive shock and 26 (45.6%) had hypotensive shock. There were 8 (9.8%) deaths in the study group. Association of pneumonia, acute respiratory distress syndrome, and acute kidney injury were significantly high among nonsurvivors. Levels of lactate dehydrogenase (LDH), interleukin-6, and prothrombin time (international normalized ratio) were significantly higher in nonsurvivors than survivors. On binary logistic regression, raised LDH and the use of a mechanical ventilator were found to be independent predictors of death (P < 0.05).

Conclusions:

Shock was the predominant manifestation in children with MIS-C. Raised LDH and the use of mechanical ventilators were found to be independent predictors of death in cases of MIS-C.
SHELF: Combination of Shape Fitting and Heatmap Regression for Landmark Detection in Human Face
Authors: Quyen Ngo Thi Ngoc , Linh Tran Duy , Phuc Vu Hong , Nam Nguyen Van
Published: September 2023

Today, facial emotion recognition is widely adopted in many intelligent applications including the driver monitoring system, the smart customer care as well as the e-learning system. In fact, the human emotions can be well represented by facial landmarks which are hard to be detected from images, due to the high number of discrete landmarks, the variation of shapes and poses of the human face in real world. Over decades, many methods have been proposed for facial landmark detection including the shape fitting, the coordinate regression such as ASMNet and AnchorFace. However, their performance is still limited for real-time applications in terms of both accuracy and efficiency. In this paper, we propose a novel method called SHELF which is the first to combine the shape fitting and heatmap regression approaches for landmark detection in human face. The heatmap model aims to generate the landmarks that fit to the common shapes. The method has been evaluated on three datasets 300W-Challenging, WFLW, 300VW-E with 31557 images and achieved a normalized mean error (NME) of 6.67% , 7.34%, 12.55% correspondingly, which overcomes most existing methods. For the first two datasets, the method is also comparable to the state of the art AnchorFace with a NME of 6.19%, 4.62%, respectively.
Research on the formation of ‘user eXperience value in live commerce platforms’: Focusing on the Means-End Chain Theory
Authors:   Korea Institute of Design Research Society, Kang A Young
Published: September 2023

This study focuses on UX(User eXperience) Value formation in live commerce platforms, combining online shopping and live streaming for real-time product showcases and interactive experiences. Through literature analysis and interviews, the research confirms that live commerce leads new online consumption trends, significantly impacting consumer culture. Moreover, users' personal values play a crucial role in their experience with the platform. Live commerce offers tailored services, reflecting user preferences, and enhances consumer satisfaction, providing companies with new business opportunities and competitive advantages. Consequently, this research emphasizes the platform's pivotal role in shaping modern online consumption trends and enabling businesses to better meet user demands and secure a competitive edge.
A Study on Visual Semantic Patterns Appeared in Cover Design of Growth Novels
Authors:   Korea Institute of Design Research Society, Park Hye Won , Um Ki Jun
Published: September 2023

As Korea grew after liberation, social and cultural changes occurred and were reflected in the content and cover design of coming-of-age novels. In a situation where Korea's bildungsroman is also changing and developing, we found that research on cover design for this was very insufficient, and attempted to study the characteristic semantic system of the cover design of Korean bildungsroman by era. The research method targets the cover designs of 166 coming-of-age novels published from the 1970s to 2023. First, the meaning of keywords and titles by era of the content of the coming-of-age novels is analyzed, and second, the meaning of the cover design of the coming-of-age novels is visualized. Analyze it by dividing it into images, colors, and typography, and check the flow and patterns of change by era. Third, we analyzed the relationship between keywords and visual elements by era in the content of coming-of-age novels. Looking at the analysis results, firstly, the composition of the parts of speech in the title by era appeared to be diversifying and becoming more complex, from 1 type of ‘noun’ structure in the 1970s to 17 types of parts of speech in the 2020s. Second, in terms of images, the oil painting technique of illustrations was used the most, and as the 2000s progressed, the frequency of using the entire cover as an image increased, and the use of stripes also gradually expanded. In terms of color, in the 1970s the hue distribution was medium brightness and low saturation, in the 1990s it was a hue distribution of wide brightness and saturation with warm colors and neutral colors, and in the 2020s the hue distribution was again centered on neutral colors and cool colors with medium brightness and low saturation. appear. In terms of typography, horizontal writing, center alignment, single line, serif, asymmetrical layout, and color changes were used to emphasize headings. Third, the concreteness and abstractness of titles and images were analyzed. In the 1970s, abstract expressions were very high, and concrete expressions were used more in the 2000s. In terms of visualization of the title, the average matching rate was 63%, and it was analyzed that the specificity of the title affects image visualization. In general, keyword visualization was relatively high in the 1970s, but the matching rate gradually decreased thereafter.
A Research on the product design conditions for the design of new type sinkhole detection device
Authors:   Korea Institute of Design Research Society, Yoon Tae Jun , Nam Won Suk
Published: September 2023

This study explained that a new type of sinkhole detection device using design direction and each unique technology can secure higher efficiency and accuracy than existing equipment through major technologies and case studies of ground drones that can simplify sinkhole exploration to increase efficiency and increase efficiency and accuracy. In addition interviews with experts in the GPR system were conducted to organize the data identified in the previous case analysis and to understand the factual basis for verifying product design conditions. Product design conditions were set in three ways product usability technology safety supplemented by verifying supplementing product design conditions through expert findings and previous studies. Based on the product design conditions presented through this study we would like to conduct a follow-up study on ground-type drone design to simplify sinkhole detection in the future.
The Analysis of Historic and Cultural District Soundscape by Type
Authors:   Korea Institute of Design Research Society, Ge Bi Xiao , Moon Jeong Min
Published: September 2023

The purpose of this study is to investigate the concepts related to typology-based historic and cultural districts and soundscapes. The study is based on Chinese historic and cultural districts and is limited in four aspects: geographical, chronological, spatial, and physical. This study mainly adopts the literature research method to analyze the characteristics of historic and cultural districts, classify them according to their functions and environmental images, and analyze the characteristics of different types of districts. Then the characteristics and associated constituents of the soundscape are analyzed from the perspective of history and culture, the soundscape is classified according to the sound source, and the characteristics and associated constituents are combined to derive the characteristics that the soundscape has in terms of history and culture. Based on the results of this study, the concepts related to the characteristics, constituent elements and features of different types of historic and cultural district soundscapes can be derived to provide a basis and foundation for further research.
An Analysis Study on the Creative Strategy of Bumper Advertising on YouTube: From 2020 to 2023, focusing on the korea bumper ad
Authors:   Korea Institute of Design Research Society, Shim Jae Hyun
Published: September 2023

This study is a creative strategy study of YouTube bumper advertisements, and the purpose of the study is to analyze the advertising appeal method, message strategy, and creative strategy of bumper advertisements to help them serve as reference materials for advertising production. The scope of the study investigated advertisements uploaded to TVCF, an advertising site, from 2020 to 2023. First, the analysis method is to investigate the degree of involvement through the FCB Grid strategy. Second, message analysis through Taylor's six-part message strategy. Third, it was analyzed through the Laskey creative strategy. According to the results of the study, the FCB Grid strategy was the highest in the low-involvement rational area, and the information-oriented emergency need area was the highest in the six-division message strategy. The Taylor 6-division message strategy according to the FCB Grid strategy showed a high information perspective of low-involvement. In the Laskey creative strategy, the information perspective was high, and the general-information area was the highest from the information perspective. It is hoped that the results of this study will serve as basic data for expression strategies for bumper ad production.
Reducing the Use of Smart Devices Before Bedtime through design intervention
Authors:   Korea Institute of Design Research Society, Kim Man-Soo , Lee Min-Ji , Kim Jee-Won , Lee Hee-Weon , Shin Hyun-Jae
Published: September 2023

Due to the rapid proliferation of various smart devices in recent times, the usage of smart devices has been increasing rapidly. Particularly, the time spent using smart devices before bedtime constitutes a significant portion of overall smart device usage. Excessive use of smart devices before bedtime has negative effects on physical, mental, and social aspects. Therefore, in this study, we propose methods for bringing a behavior change based on behavioral theory, going beyond technology-based physical interventions, with the aim of reducing the usage time of smart devices before sleep. To achieve this, we designed two types of design-led interventions based on the feedback and feedforward concepts of behavioral theory and conducted a three-week long experiment. These proposed interventions were provided to the participants in each experimental group at a specific time (before going to bed). Based on the differences between the two groups, the study discussed the effectiveness of design-led interventions for instigating sustainable behavior change. This study holds significance as it offers practical guidance essential for the development of models and applications that may effectively utilise this particular design strategy.
A Study on User-Centered Brand Design from the context of Experience Design: Focused on Pet Supplies Industry in China
Authors:   Korea Institute of Design Research Society, Yang Cunyuan , Nah Ken
Published: September 2023

The pet supplies industry in China has experienced rapid growth in recent years, leading to intensified market competition. Consequently, brands are in need of a new dimension of experience that focuses on understanding user needs and issues while building brand loyalty and trust. This study proposes a user-centered brand design model consisting of three phases: user needs discovery, issue definition, and scenario development. Employing the MEOWMO brand and the E-MOW value system as a case study, the model combines quantitative and qualitative research methods, including surveys and user experience scenarios, to help brands precisely define user needs and convey brand value. The research identifies a trend where users tend to trust brands that align with their psychological cognition and concepts. Therefore, constructing user experience scenarios aids in recognizing user expectations, goals, and issues, encouraging user participation in co-creation and ultimately enhancing brand loyalty. This model provides brands with a new direction to bolster their impact and user loyalty in the pet supplies industry. It also offers theoretical support for user-centered brand design, aiding brands in survival and value enhancement in a fiercely competitive market.
Reports of primary and secondary breast lymphoma: our experience in King Chulalongkorn Memorial Hospital
Authors: Panichyawat Sineenart , Hansakul Palita
Published: September 2023

We report four cases of primary breast lymphoma (PBL) and five cases of secondary breast lymphoma (SBL). We illustrate imaging findings in various imaging modalities including mammography, ultrasonography (US), magnetic resonance imaging (MRI) and positron emission tomography (PET) as well as review literature concerning this uncommon condition.
Regression of lung bullae after pulmonary infection: Two case reports and the aspect of radiologic and pathologic findings in one case
Authors: Eiambanapong Tanaporn , Jiwanan Tanapol , Booncharoen Pachayree , Kanjanapradit Kanet
Published: September 2023

A sharply demarcated area of emphysema, bleb or bulla, is usually asymptomatic. Some could lead to pneumothorax or superimposed infection, the common complications, while some could be spontaneously resolved, of which mechanism remains unclear.
We present two male patients who had asymptomatic bullae at their right upper lungs. The first patient presented with a low-grade fever for a month. His chest radiograph showed a new patchy opacity in right upper lung, which corresponds to an enhancing mass with central necrosis on the chest computed tomography. His tissue pathology from two specimens of pleura had proven as inflammation and fibrosis. After antibiotics treatment, the follow-up images showed partial regression of the bullae. Another patient presented with right pleuritic chest pain for 16 days and was diagnosed as pneumonia with an infected lung bulla. His chest radiograph showed a newly seen patchy opacity at the right middle lung zone and a new air-fluid level in the lung bulla in the right upper lobe. After he had been given antibiotics treatment, partial regression of the bulla was observed. He later underwent right upper lobectomy and successful smoking cessation. The follow-up chest images showed no new bleb or bulla.
Dual-energy spectral CT in assessment of pleural effusion
Authors: Muang-im Wilailak , Euathrongchit Juntima , Tantraworasin Apichat , Wannasopha Yutthaphan
Published: September 2023

Background: Pleural effusion is a common clinical problem. The ability to differentiate between benign and malignant pleural effusions has many clinical benefits. However, few studies have investigated the diagnostic value of dual-energy spectral computed tomography (DECT) in pleural effusion.
Objective: To evaluate the diagnostic values of DECT for assessment of pleural effusion.
Materials and Methods: We retrospectively analyzed data from 87 patients presenting with pleural effusion who underwent chest DECT from October 2019 to November 2020. Two reviewers blindly reviewed the CT images of pleural effusion in consensus. The pleural fluid attenuation in standard conventional CT images and monoenergetic images, at 40 keV, 100 keV and 140 keV, were recorded. Data pertaining to the effective atomic number, the iodine concentration (IC)and associated CT findings including pleural thickening, pleural nodules and extrapleural fat clouding was analyzed.
Results: Of 87 patients, 44 were presented with benign effusions and the remaining 43 were presented with malignancy.There were no statistically significant differences in differentiating between benign and malignant pleural effusions by using the attenuation values, the effective atomic number or the IC. Irregular pleural thickening and pleural nodules were detected statistically significant in the patients with malignant pleural effusions with moderate accuracy, (48.83%; p < 0.01; AuROC 0.7103 and 34.88%; p < 0.01; AuROC 0.654 respectively).
Conclusion: DECT attenuation values did not show any reliable clinical value in the differentiation between benign and malignant pleural effusions. The presence of pleural nodules or irregular pleural thickening would suggest malignant pleural effusion with moderate accuracy.