bluuebunny/crossref_metadata_2025 huggingface dataset:
Harmonized index of consumer prices impact on real estate market in Baltic countries
Authors: Okunevičiūtė Neverauskienė Laima , Linkevičius Dominykas , Kleponė Daina
Published: August 2024

The real estate market is a significant component of the global economy, attracting the attention of both investors and economists. Its dynamic nature has made it a widely studied subject, especially concerning its impact on the market itself. Through comprehensive analysis of economic data and market trends, it aims to elucidate the extent to which changes in consumer prices influence various aspects of the real estate sector, including property values, investment patterns, and market dynamics, with a specific focus on nominal housing prices across Latvia, Lithuania, and Estonia. Nominal housing prices are selected as a key factor due to their direct reflection of market demand, investor sentiment, and overall economic conditions, providing a robust indicator of the underlying dynamics shaping the real estate market in the Baltics. Employing a combination of statistical methods and economic models, the study examines the interplay between HICP fluctuations and the key indicator of the real estate market across Latvia, Lithuania, and Estonia. By providing empirical evidence and theoretical insights, this research contributes to a deeper understanding of the complex interactions between macroeconomic factors and real estate dynamics in the Baltic countries.
A new species of yellow acorn ant discovered in Italy via integrative taxonomy (Temnothorax luteus-complex, Formicidae)
Authors: Csősz Sándor , Schifani Enrico , Seifert Bernhard , Alicata Antonio , Prebus Matthew M.
Published: August 2024

The Mediterranean, a global hotspot for rare ant species, hosts a significant representation of the global diversity of the mainly Holarctic ant genus Temnothorax. However, several groups still require significant taxonomic efforts. The taxonomy of the T. luteus complex species was revised in 2014 when morphometrics allowed distinguishing two valid species and two synonyms out of four taxa that had been originally described from France. The two species recognized since then are T. luteus, distributed from Iberia to the Alps, and the largely sympatric but much more xerothermophilic T. racovitzai. In Italy, only a few records of the complex were ever published, and the identity of the Italian population was never thoroughly assessed. We combined morphometrics with phylogenomic data to assess the identity of the T. luteus populations that spanned from Sicily to the Italian Alps and discovered that all Italian samples belong to a new cryptic species, which we describe as T. apenninicussp. nov. whose glacial refugium was probably in the southern Apennines.
Summarizing a Debriefing Session in Professional Development
Authors: Kowalski Karren
Published: August 2024

The summary of the debriefing session is critical to acknowledge the work of each participant and to identify the learnings. Key approaches include the importance of including everyone and maintaining a positive, upbeat attitude.

[
J Contin Educ Nurs
. 2024;55(9):423–424.]
Climate Financing
Authors: Nyika Joan , Dinka Megersa Olumana , Andıç Nagihan Özkanca
Published: August 2024

Climate financing is crucial for effectively mitigating and adapting to climate changes and achieving sustainable development globally. This chapter examines climate financing in Africa, highlighting current trends in comparison to other global regions, the costs and needs for both mitigation and adaptation across various sectors, and the policy and accountability issues surrounding the support and use of climate funds. Additionally, it evaluates three case studies of African countries regarding their climate change resilience, financing strategies, and methods to mobilize additional funds. The analysis reveals that Africa is significantly underfunded in terms of improving climate resilience. Consequently, there is a pressing need for increased funding, along with enhanced policies and improved information and knowledge sharing on resource utilization, to bolster accountability and build confidence among climate financiers.
Global Public Climate Funds
Authors: Chukwudum Queensley C.
Published: August 2024

This chapter examines the volatility characteristics of global public climate finance from multilateral sources over the period 2003-2022. Annual data intervals are analyzed to assess the impact of the COVID-19 pandemic. Three GARCH model variations are employed, integrating both traditional Ito techniques and modern machine learning methods. Performance evaluation via root mean square error reveals that the Support Vector Regression-GARCH model provides the best fit. The detection of ARCH effects in specific years—2008, 2013, 2021, and 2022—indicates that climate finance volatility is sensitive to extraordinary events such as global financial crises and the COVID-19 pandemic. Although longer-term volatility modeling yields a smoother representation than short-term approaches, the analysis uncovers a lack of sustained consistency and stability. These findings aim to enhance stakeholders' understanding of climate finance volatility, aiding in the optimization of fund allocation strategies, performance metric assessments, and risk mitigation associated with public climate finance.
Green Finance
Authors: Shukla Pooja , Taneja Bhavna , Sahin Cumhur
Published: August 2024

Green finance serves as a comprehensive framework encompassing diverse financial instruments tailored to support socially and environmentally responsible endeavors. This chapter explores the core objectives of green finance, emphasizing its role in fostering investments in enterprises, initiatives, and innovations with positive environmental footprints. By combatting the adverse effects of climate change, green finance paves the path towards advanced sustainable development and facilitates the transition to a low-carbon economy. Furthermore, this chapter elucidates the concept of green finance alongside the associated tax incentives, exploring their genesis, requirements, and advantages. Additionally, it outlines the various challenges and constraints confronting the field of green finance, underscoring the imperative of implementing strategies to fortify its robustness, viability, and efficacy.
CSR Initiatives
Authors: Srivastava Ambar , Pathania Ankit , Lehri Bikram Paul Singh
Published: August 2024

Employees are seen as a valuable resource for assessing a business's competitiveness. Providing for their wellness, health, and running employee support programmes may increase their drive and commitment to the organization. This chapter will explain the role of CSR activities on employees' well-being, examine the impact of CSR activities on well-being of employees, and provide CSR strategies to maximize employees' well-being. A qualitative research technique was applied in this study. A systematic literature review was based on articles in national and international journals, magazines, working papers, etc. gathered and analyzed to achieve the research objective. The implementation of employees CSR activities has been significant, since employee health and wellness have a direct impact on the competitiveness of the business and have been a driving force behind employee's performance.
Mastering Stress
Authors: Rasool Yasir
Published: August 2024

In the light of the well-known nature of workplace stress and its negative influence on both individual and organizational performance, this chapter presents a thorough method for decreasing it. The perception pursues to progress the work situation by executing an organized strategy that comprises identification, intervention, and evaluation. To address stressors, strategies for example personnel surveys and focus groups, flexible work plans, assistance plans for workers, wellness advantages, and enriched communication channels are engaged. Phased placement, staff involvement, and continuing assessment are all measure of the implementation procedure, which is backed by budget inaccuracy and chosen resources. The ultimate objective is to place a high significance on employee welfare as an intended investment that will increase company accomplishment and flexibility.
Cultivating Campus Citizenship
Authors: Khanal Krishna
Published: August 2024

This chapter delves into the dynamic intersection of university social responsibility (USR) and the pivotal role of faculty members in fostering a culture of engagement and wellbeing within academic communities. Drawing upon contemporary research and practical insights, it examines the multifaceted dimensions of USR, emphasizing its impact on employee wellbeing and organizational ethos. Through a critical lens, the chapter explores the evolving responsibilities of faculty members in advancing USR initiatives and promoting holistic development among students, staff, and broader stakeholders. Additionally, it investigates the challenges and opportunities inherent in integrating USR principles into academic practices, offering actionable strategies for enhancing faculty involvement and institutional commitment to social responsibility. Ultimately, this chapter advocates for a collaborative approach to USR, highlighting the transformative potential of universities as catalysts for positive change within society.
A Bibliometric Analysis on Sustainable Health and Happiness Using VOS Viewer
Authors: Sharma Swati , Sharma Kavita
Published: August 2024

Due to increased globalisation, the competition level has increased. Employees are working for long hours in order to complete the targets and save their jobs and because of this they are suffering from stress, burnout, and not able to give time to their friends, families. This is impacting the mental health of the employees. Articles on happiness at work, wellbeing, happiness management served as the foundation for the bibliometric analysis. The data base used to extract the data was Scopus. Bibliometric analysis technique was used in this study and the data used in this study was extracted from Scopus. For analysing the last 10 years of studies, bibliometric analyses were used. It was found that United States has done more contribution towards wellbeing.
Exploring the Work-Life Balance Effects of Work From Home in the Corporate Environment in Romania
Authors: Briciu Victor Alexandru , Briciu Arabela , Floroiu Elena Alexandra
Published: August 2024

The evolution of technology has driven organizations to embrace virtual collaboration tools, facilitating real-time communication and global workforce integration. With the rise of work-from-home (WFH), the concept offers flexibility for both employees and employers, improving work-life balance and business continuity. However, the transition to a remote work culture presents challenges, but it also encourages diversity and collaboration. In a qualitative study conducted among employees of a Romanian company, WFH was found to increase productivity by enabling better focus and time management. Nevertheless, maintaining a work-life balance remains a struggle, highlighting the need to set boundaries and prioritize tasks. WFH can affect team cohesion due to reduced face-to-face interactions, requiring deliberate efforts to encourage trust and connection. Effective strategies include the use of digital communication tools and regular virtual meetings. Finding the right balance between autonomy and onsite presence is critical to optimizing productivity within the organization.
Applications of AI Techniques in Healthcare and Wellbeing
Authors: Vetrivel S. C. , Arun V. P. , Maheswari R , Saravanan T. P.
Published: August 2024

The integration of Artificial Intelligence (AI) techniques in healthcare and wellbeing systems has witnessed significant advancements, offering transformative solutions to traditional healthcare paradigms. This chapter provides a comprehensive overview of the diverse applications of AI in the healthcare sector, highlighting its potential to enhance diagnostics, treatment planning, personalized medicine, and overall patient outcomes. AI techniques, including machine learning and deep learning algorithms, have demonstrated remarkable capabilities in analyzing large datasets such as medical images, genetic information, and electronic health records. These technologies enable more accurate and timely disease detection, improving diagnostic accuracy and aiding healthcare professionals in making informed decisions. In treatment planning, AI-driven systems contribute to the development of personalized therapeutic strategies. By leveraging patient-specific data, AI models can predict treatment responses, optimize drug regimens, and minimize adverse effects.
A Multimodal Deep Learning Approach for Early Detection of Alzheimer's Disease
Authors: Sanjay V. , Swarnalatha P. , Valluvan Ragupathyraj
Published: August 2024

Artificial Neural Networks (ANNs) optimized with Particle Swarm Optimization (PSO) for predicting Alzheimer's disease have demonstrated reliability in estimating mild cognitive impairment (LSM). Traditional ANN training faces challenges such as slow learning rates and difficulty overcoming local minima. Integrating PSO, a Resquare Optimization Algorithm (ROA), enhances ANN performance. In our study, using a dataset of 12,130 preparation records and 51,642 test records, we trained ICA-ANN and ICA-PSO-ROA-ANN models. PSO parameters were optimized to maximize accuracy while minimizing computational load. Evaluation using Root-Mean-Squared Error (RMSE) showed that the ROA-PSO-ANN model consistently outperformed traditional ANN and hybrid models, highlighting its effectiveness in complex medical diagnostics for Alzheimer's disease prediction.
Technological Advancements in Waste Management
Authors: Farooqui Nafees Akhter , Ansari Md Shamsul Haque , Ansari Zulfikar Ali , Mehra Ritika
Published: August 2024

In response to the issue of growing garbage, researchers, foundations, and businesses worldwide developed concepts and created new technology to slow down the process. Waste comes from a variety of sources, including municipal solid waste (such as plastics, paper, cardboard, food waste, and textiles) and industrial garbage (such as ashes, hazardous wastes, and materials used in building and demolition). Modern waste management methods often take sociological factors into account in addition to technological ones. The internet and social media platforms have allowed scientists to reach a much wider audience in promoting ecological consciousness and awareness. This chapter discusses a variety of modern approaches that have evolved recently and how waste management has been affected by them. This chapter explores the obstacles and potential paths of waste management within the framework of the circular economy. Certain sustainable development objectives can be met by the application of modern waste management techniques.
Featuring Machine Learning in Municipal Solid Waste Management
Authors: Singh Bhupinder , Kaunert Christian , Malviya Rishabha
Published: August 2024

Due to the expansion of urban areas and the steady growth of the global population, the management of municipal solid waste has become increasingly complex in recent times. Inadequate handling of waste poses risks to the environment, public health, and exacerbates greenhouse gas emissions. There are various approaches such as the principle of reduce, reuse, recycle, and recover have been introduced to tackle these challenges. However, effectively implementing these strategies remains intricate and challenging. Machine learning stands out as a promising technology with the potential to revolutionize municipal solid waste management. ML can play a pivotal role in streamlining waste sorting and segregation processes, thereby enhancing the efficiency and cost-effectiveness of waste management operations. This chapter explores the machine learning enables route optimization, waste categorization, and prediction of waste characteristics, aiming to enhance efficiency, reduce costs, and minimize environmental impact solid waste management.
An Exploration of Mental Well-Being Among Students in Higher Learning Institutions in Western Kenya
Authors: Oyoo Monica Anne
Published: August 2024

Mental well-being is a vital factor which determines an individual's level of general health and productivity. According to WHO, mental health problems are increasing and about 25% of people suffer from mental illness globally. Depression, anxiety and stress are the most common particularly among students in higher learning institutions. In Kenya studies on mental well-being have concentrated on students in secondary schools. One among the few studies conducted in a university in Nairobi Region found the prevalence of depression to be 35.7%. The purpose of the study therefore was to explore mental well-being among students in universities in Western Kenya. Objectives of the study were to determine prevalence of depression, anxiety and stress, explore socio-demographic correlates of depression, anxiety and stress.
Childhood Loneliness
Authors: Kumar J. Ganesh , Aman Arnisha
Published: August 2024

A growing concern among school children in recent years has been understanding the impact of loneliness on mental health and overall well-being. This chapter will explore the distinct and complex interplay between the varied social relationships and the wider societal influences that contribute to childhood loneliness. This research aims to explore the different underpinnings towards this growing concern by analysing parent-child relationships, familial relationships, family structures, the socioeconomic status of the family, the school environment, and most importantly, the detrimental impact of epidemics.
Social Networking Platforms and Academic Performance of Students
Authors: Aggarwal Kapil Kumar
Published: August 2024

Since college students use social media extensively, studying the link between social media use and academic achievement has become an important research topic. This study aimed to assess the impact of social networking platform usage on the academic performance of undergraduate and postgraduate students in the commerce and management fields. The chapter also aimed to determine the extent to which University students' usage of social networking sites influences their academic achievement. This chapter utilizes the correlation tests to assess and compare the impact of social networking sites on the academic achievement of the chosen students. The data has been collected from December 2023 to February 2024. This research examines the impact of social networking sites on students' academic achievement, specifically focusing on how students might utilize these platforms without negative consequences. Several tools on these platforms facilitate students in acquiring new learning techniques and exchanging thoughts and questions with students worldwide.
Spatial Dimension of Students' Well-Being
Authors: Rosado Susana , Jeronimo Vitória Rodrigues
Published: August 2024

Human well-being depends on various factors, including the perception of spaces and architecture. For higher education students, well-being is closely linked to their experiences within institutional spaces, which affect them differently based on gender. This study focuses on students at the Lisbon School of Architecture, University of Lisbon, Portugal, to understand how physical and symbolic aspects of spaces facilitate or hinder their appropriation in a gender-sensitive manner. Using participatory methods like exploratory marches, collective maps, focus groups, and questionnaires, the authors examine how these spatial experiences impact student well-being. The research identifies deficiencies in comfort, security, and belonging, and suggests architectural improvements to enhance social well-being in higher education institutions.
Evolution of AI in Business Intelligence
Authors: Goswami Sachinkumar Anandpal , Dave Saurabh , Patel Kashyap Chaitanya Kumar
Published: August 2024

The abstract discusses the evolution and milestones in AI integration into business intelligence systems, highlighting its significant impact on organizational analytics and strategic decision-making. It highlights the revolutionization of data processing, analysis, and interpretation by AI, enabling enterprises to gain actionable insights from complex datasets. AI-driven BI tools automate procedures, predict trends, and personalize user experiences, while addressing challenges like data quality, privacy, and algorithm fairness. The abstract also discusses ethical issues and appropriate AI applications to maintain the credibility and impartiality of BI systems.
Harnessing Sustainable Innovation
Authors: Jain Vishal , Mitra Archan
Published: August 2024

This research explores the integration of Business Intelligence (BI) tools in entrepreneurial practices to drive sustainable innovation. It highlights the significant role of BI in enhancing decision-making and operational efficiency, contributing to sustainability goals. Despite the potential, challenges such as high costs and complexity hinder effective implementation. The study advocates for strategic BI application in entrepreneurship, fostering sustainable practices while addressing both environmental and economic objectives.
A Study on the Interaction Between Geopolitics and the Identity of the Kuomintang Army in Northern Thailand During the Cold War (1949-1975)
Authors: Li Yuhong , Zheng Anguang
Published: August 2024

This chapter attempts to explain the dynamic process of the interaction between Cold War geopolitics and transnational political identity and takes the Kuomintang army in northern Thailand as a typical case for analysis. During the Cold War, competitive political forces jointly promoted the formation of different identities of the Kuomintang army in northern Thailand. All political forces, whether out of strategic considerations or security considerations, have caused the “alienation” of northern Thailand. The connotation of Cold War “alienation” is the formation of a “multi-hierarchical system” in northern Thailand, which further led to the “diversification” of the political identity of the Kuomintang troops living here. The linkage between region and identity has led to different interactions among units at all levels in the international system.
Analyzing the Nexus Between FDI Inflow, Banking, and Insurance Sectors to Boost the Indian Economy
Authors: Begum Salma , AlSameer Hussain Hammoud
Published: August 2024

India continues to integrate into the global economy, and foreign direct investment has emerged as an important driver of economic growth and development. The study provides a comprehensive overview and examines the impact of foreign direct investment on the growth trajectories of the banking and insurance sectors in India. The impact of the growth of these sectors and foreign investment on India's economic growth are explored. The study uses time series data for the period 2002-2022 and employs correlation and multiple regression analysis techniques to analyze the data. The findings of the study indicate a positive relationship between FDI inflows and the growth of the banking and insurance sectors in India. The results also showed a strong relationship between the growth of the banking and insurance sectors and foreign direct investment flows. The results of the analysis showed that foreign direct investment has a positive impact on economic growth in India, as the inflow of foreign direct investment by 1,996 million dollars will lead to growth in the economy by 666,683 million dollars.
Impact of BFSI Industry Competition on Economic Growth in India
Authors: Mohanty Stutee , Sahoo Suresh Kumar , Panigrahi Arpita , Sharma Indu , Acharjya Biswajit
Published: August 2024

This study focuses on the economic growth of India by establishing its association with BFSI industry competition and financial innovation. The research work utilized the ARDL bound testing cointegration procedures to verify the link between competition in the BFSI industry, financial innovation, and economic growth in the short and long run. The causality direction was evaluated by using the Granger causality test. The results indicate the BFSI industry competition shares a positive relationship with long-term economic growth; on the other hand, financial innovation and economic growth share a significant negative relationship with each other in the long-run. On a short-term basis, competition in the BFSI industry has a negative influence on economic growth vis-à-vis financial innovation has a significant positive relationship with economic growth. The Granger causality tests predict a unidirectional causality between competition in the BFSI industry and economic growth while financial innovation and economic growth share a bidirectional causality.
Strategies for Managing and Leading Across Cultures
Authors: Farinha João , Pina Maria , Martins Rui , Nedelcut Amalia Cristina
Published: August 2024

This chapter delves into the multifaceted realm of cross-cultural management and leadership strategies, essential for navigating the intricacies of today's globalized society. It meticulously examines core principles such as cultural awareness, flexible communication, trust-building, and conflict resolution, elucidating their profound implications for effective leadership across diverse cultural contexts. Drawing upon established theories and models, the chapter explores the intricate interplay between these concepts, offering a comprehensive framework for understanding and implementing cross-cultural leadership practices. Through critical evaluation and practical insights, it equips leaders and managers with the necessary tools to foster inclusive, adaptive, and successful leadership in multicultural organizational settings. Additionally, it identifies future research directions to further enhance our understanding of cross-cultural management dynamics in an ever-evolving global landscape.
The Use of Artificial Intelligence in Entrepreneurship
Authors: Kaya Aslı Üner , Bekar Fevziye
Published: August 2024

Artificial intelligence is the branch of science that examines how cognitive processes that are thought to be unique to humans, such as discovering meaning, making generalisations, or learning from past experiences, can be transferred to artificial systems. “Artificial intelligence” as a term was first used officially in 1956 at a summer conference held at Dartmouth College in the town of Hanover, New Hampshire. Artificial intelligence, the largest engineering project in human history, has not yet been completed at the desired level, and studies on the subject continue unabated in disciplines such as engineering, cognitive sciences, neuroscience and philosophy. Nowadays, both the development and training of artificial intelligence and use of artificial intelligence create opportunities for entrepreneurship in many processes such as content generation, analysis, auditing, performance evaluation. The aim of this research is to provide conceptual information about the usage areas of artificial intelligence in entrepreneurship types by taking support from the literature.
Generating Entrepreneurial Ideas
Authors: Kathirvel Naren , Santhoshi B. , Kathirvel A.
Published: August 2024

By 2027, the blockchain market will have a valuation of 163 billion US dollars. In fact, a firm may find it too much to comprehend and use the technology that has taken off. Blockchain is a distributed database that is shared by multiple system nodes. These days, businesses use blockchain technology and its various features, like ICOs and smart contracts, for a variety of objectives that are related to their daily operations. Because of these built-in characteristics, blockchain is now used in a number of sectors, including real estate, finance, agriculture field, healthcare sector, education institutions, design and manufacturing unit, retail shopping, etc. This chapter provides a thorough explanation of the various use cases and areas of BT.
Sea Shell-Based Biochar for Efficient Fluoride Remediation
Authors: Otieno Winstone Ochieng , Okoth Kevin Otieno , Mbugua Gerald Wachira
Published: August 2024

Inequity in an access to safe drinking water results in negative impacts on education, health, and safety. This chapter examines the effective remediation of fluoride contamination in surface water by the use of biochar, a natural and renewable biomaterial derived from seashells. The capacity of the biomaterial to adsorb fluoride ions is enhanced by the high selectivity and surface porosity of the seashell-derived biochar. The biomaterial made from seashells has a lot of calcium carbonate, which can be converted to calcium oxide. The oxide has proved to have a potent affinity for fluoride ions and a good adsorption capability. Through pyrolysis, organic compounds are broken down into materials that are rich in carbon. The adsorption of fluoride ions by the sea shell biochar adsorbent is achieved through a sequence of processes, including, transportation, grinding, fluoride ion adsorption, and intraparticle diffusion. The sea shell-based biochar surface can also be improved through complexation with boric acid in the presence of sodium hydroxide.
Enhancing Organizational Competitiveness Through Advancing Intelligent Human Resources Analytics
Authors: Gayathri R. , Vinoth Kumar V.
Published: August 2024

The utilization of data in businesses has transformed, primarily centred on fulfilling legal employment obligations rather than the traditional approach. This shift in innovative data application has progressively reshaped the landscape of Human Resource Management (HRM), leading employers to expect top-tier analysis from HR professionals for business requirements. The data was collected using a quantitative approach that combines the elements of HRA competency and assesses how they affect business results. A sample population of 230 HR professionals who have been exposed to HR analytics were interviewed, and the data was collected through questionnaires. This population comes from various industries in Bangalore city, India. A range of statistical techniques were utilized to examine the data in order to reveal the impact of HRA on business results as well as the discrepancy between the competencies in HRA as they exist today and as they should. The results emphasized how important it is to give competent employees motivation and opportunities to develop their analytical skills. These analytical skills greatly impact the results of business operations. The study, taken as a whole, gave a significant representation of how HR analysts influence business outcomes and the discrepancy between the competencies that HR analysts exhibit and the expected levels of competency.
A Study on the Impact of Intelligent Systems on Human Resource Management
Authors: Venkateswaran P. S. , Sujatha S. , Nasimov Dilmurod , Arabov Nurali , Rajest S. Suman , Nomula Varun Kumar
Published: August 2024

This research delves into the integration and impact of intelligent systems in the realm of Human Resource Management (HRM). Intelligent systems enhance HRM by streamlining processes like recruitment, automating repetitive tasks, and providing data-driven insights for decision-making. AI facilitates efficient candidate screening, identifies training needs, and predicts employee performance. As organizations strive for efficiency and effectiveness in their workforce management, the adoption of artificial intelligence (AI) and machine learning (ML) technologies has become increasingly prevalent. This study aims to investigate the utilization of intelligent systems in key HRM domains such as recruitment, employee engagement, and decision-making processes. The swift rise in digitization, coupled with the increasing adoption of Artificial Intelligence (AI), is transforming the business landscape. The integration of Information Technologies with Human Resource Management (HRM) has led to enhanced efficiency, influenced service delivery, established standardization, empowered managers, and revolutionized HR functions. The research methodology involves a comprehensive literature review and examining the implementation of intelligent systems in diverse organizational settings. The findings of this study aim to contribute valuable insights to companies, shedding light on the evolving landscape of HRM through the lens of intelligent systems. By understanding the challenges, benefits, and implications associated with the integration of AI in HRM, organizations can make informed decisions to enhance their human resource practices.
Environmental Data Analysis for Air Quality Monitoring and Control
Authors: Bose S. Rubin , Rahul P. , Nishanth M. , Melva A. , Regin R. , Sivakani R.
Published: August 2024

Environmental data analysis is an integral component of air quality control. It entails employing information-driven conclusions to meticulously track and determine pollution's origins and analyze the health effects. The main objective is to discover effective ways to boost air quality, promote public health, and support informed choices in environmentally sustainable management methods. The project entails using one of multiple techniques, such as quantitative analysis of patterns, mathematical simulation, and developing systems that assist with decisions. The study underscores the essential role of data analysis in solving air quality issues. It underlines the significance of robust environmental control and monitoring tactics prioritizing the security of humanity and the natural ecosystem. This study aims to enhance our comprehension of atmospheric dynamics and support evidence-based policies for better environmental outcomes by utilizing sophisticated analytical tools and comprehensive approaches. By diligently analyzing environmental data, the chapter wants to improve air quality management and advance global environmental sustainability.
Deep Convolutional Neural Networks for Lung Segmentation for Diffuse Interstitial Lung Disease on HRCT and Volumetric CT
Authors: Chunduri Venkata , Hannan Shaikh Abdul , Devi G. Meena , Nomula Varun Kumar , Tripathi Vikas , Rajest S. Suman
Published: August 2024

High-decision computed tomography (HRCT) and volumetric CT photos have been used to evaluate a complicated lung segmentation technique that became built using superior deep convolutional neural community (CNN) techniques throughout a wide variety of diffuse interstitial lung issues (DILD). The volumetric CT and HRCT (with sub-millimeter thickness and no durations) scans of 617 sufferers with distinctive types of DILD, inclusive of cryptogenic organizing pneumonia (COP), ordinary interstitial pneumonia (UIP), and non-specific interstitial pneumonia (NSIP), had been used in the examine. A skilled thoracic radiologist painstakingly polished every scan to set gold standards after it became the first segmented use of conventional picture processing strategies. Training, validating, and trying out the deep CNN model on various datasets with a -dimensional U-Net structure allowed it to perceive lung regions in HRCT pix. Furthermore, thirty volumetric CT scans from UIP patients were selected for an extended version evaluation.
Invitations to join a new 2024 section of Ejtm and the 2025 Pdm3 from 25 to 29 March, Euganean Thermae, Padua, Italy
Authors: Carraro Ugo
Published: August 2024

This issue of the European Journal of Translational Myology (Ejtm) 34 (3) 2024 opens with a historic article by Roger Sabbadini, who recalls his years spent as a guest scientist at the Institute of General Pathology of the University of Padua, Italy and the many years spent valorising a fortuitous observation made in collaboration with the scientific group of Professor Giovanni Salviati, University of Padua, Italy. A further side effect of those years is the decision I recently made to add a new Section to the Ejtm Editorial board, namely: Myokines, Bioactive lipids, Adipokines, RNAkines (ncRNAs), Antonio Musarò, Roger Sabbadini, and Daniela Tavian, Editors. Readers are therefore warmly invited to contribute typescripts to this section. I am confident that young readers will be motivated to test preliminary in vitro and in vivooptions for drug development, especially for the bioactive lipids. Furthermore, it is time to send your presentation proposals and registration/accommodation forms to participate in the International Meeting: Padua Days on Muscle and Mobility Medicine, which will be held at the Hotel Petrarca of the Euganean Thermae (Padua, Italy) from 25 to 29 March 2025 (2025Pdm3). The Preliminary Program is included, hoping that you will submit your abstract and the Registration forms by November 15, 2024.
Commento al film: Unless
Authors: Vanni Fabio
Published: August 2024

Questo bel film mi ha fatto sorgere dei pensieri che vorrei condividere e che riguardano un tema oggi molto rilevante: la cultura della cura.
In una famiglia della borghesia di Toronto – padre medico, madre scrittrice- traduttrice, tre figlie adolescenti – accade improvvisamente qualcosa di drammatico. Dal chiacchiericcio del mattino di una famiglia indaffarata ad avviare la giornata ognuno per il suo corso si approda alla scomparsa di Norah, la figlia maggiore, che non fa ritorno a casa.[... ]
L’approccio sistemico: ostacoli e risorse nella complessità
Authors: Bruceti Griselda , Cofano Elena , Inzoli Chiara , Isabello Paola , Michelazzo Roberta , Rizza Chiara , Rizzo Scaccia Angelica
Published: August 2024

La lettura di questo caso clinico ha stimolato molto il nostro gruppo formato da psicologhe e psicoterapeute ad orientamento sistemico: esistiamo come tali all’interno di un gruppo di psicoterapeute più ampio con orientamenti diversi, del consultorio diffuso dell’Associazione ‘Progetto SUM’ nella sede di Torino. Nella nostra formazione dedichiamo diverse risorse per apprendere a collaborare in contesti co-terapici e d’equipe. Il nostro contributo teorico e pratico sarà guidato dall’attenzione alla complessità del sistema, al paziente designato fino ad arrivare alle emozioni del terapeuta, strumento indispensabile per la buona riuscita di un percorso terapeutico. Il nostro modello di riferimento si basa su un approccio di osservazione dell’individuo nei diversi sottosistemi di cui lo stesso è parte, in primis la famiglia. Quest’ultima è in continua trasformazione e governata da regole che evolvono nel tempo in interazione con l’ambiente circostante. I terapeuti quando incontrano i pazienti nella stanza di terapia diventano parte del sistema, generandone uno più complesso e ampio, indispensabile nel processo di cura.[...]
Commento al caso clinico presentato in: Prendersi cura della sofferenza all’interno di una famiglia
Authors: Bruschi Gianfranco
Published: August 2024

Coniugare complessità ed unitarietà in una prospettiva in cui il disagio umano non può essere compreso se non ci si occupa dei suoi legami, in un’ottica in cui l’essere vivente è nella relazione con l’ambiente in cui vive. Gli autori adottano qui una prospettiva in cui il soggetto sofferente è visto come unico e connesso con il suo mondo tramite forme di relazione.
Una visione in cui il soggetto non è ridotto alla sua diagnosi o alla sua patologia e dove le dis-funzionalità sono intese come tentativi tipici dell’individuo di trovare delle soluzioni ai disagi, soluzioni migliori possibili nella fase in cui sono state originate.[...]
La Rete per la Psicoterapia Sociale: il concretizzarsi di un’idea
Authors: Vanni Fabio , D’Elia Luigi , Longhi Carlotta , Cersosimo Giuseppe , Lima Matteo
Published: August 2024

Sono molti anni che diversi gruppi e singoli professionisti adottano formule che tengano conto dell’accessibilità alle cure psicologiche ma questa sensibilità non era mai giunta ad essere un movimento unitario di carattere nazionale.
La distinzione tradizionale fra un servizio pubblico che ha nel suo statuto l’universalismo ed un privato, organizzazioni o singoli professionisti, che non si pone preoccupazioni di raggiungibilità, economica e culturale, è parte della nostra storia professionale e formativa.[...]
Emerging South African smart cities: Data security and privacy risks and challenges
Authors: Cornelius Francois P. , Jansen van Rensburg Shandre K.
Published: August 2024

Background: Smart cities leverage advanced technologies such as the Internet of Things (IoT), fifth generation (5G) networks, and data analytics to enhance citizens’ quality of life, focussing on creating efficient, functional, and eco-friendly urban environments. While these initiatives offer significant benefits, there are ongoing concerns about data security and privacy.Objectives: This article investigates the data security and privacy risks and challenges in emerging South African smart cities. The objectives are to identify these risks, assess the effectiveness of current security measures, and contextualise these vulnerabilities within the South African and global contexts.Method: A qualitative approach was adopted, involving virtual interviews with 20 Subject Matter Experts (SMEs) through purposive and snowball sampling. The raw data were thematically analysed, revealing significant themes.Results: Emerging South African smart cities face several risks and challenges, including poor governance, a shortage of skills, a lack of awareness and training, insufficient funding, and a combination of these factors.Conclusion: The research highlights the importance of safeguarding individuals’ data and privacy in the context of smart cities, advocating the need for proactive measures to address these concerns.Contribution: This article promotes interdisciplinary dialogue, leading to more comprehensive solutions. In addition, exploring data security and privacy in emerging smart cities aids in understanding the implications of information management practices. Although the article focuses on emerging South African smart cities, the challenges discussed have global relevance.
Traditional craniotomy versus current minimally invasive surgery for spontaneous supratentorial intracerebral haemorrhage: A propensity-matched analysis
Authors: Xiao Zhen-Kun , Duan Yong-Hong , Mao Xin-Yu , Liang Ri-Chu , Zhou Min , Yang Yong-Mei
Published: August 2024

BACKGROUND

Minimally invasive surgery (MIS) and craniotomy (CI) are the current treatments for spontaneous supratentorial cerebral haemorrhage (SSTICH).

AIM

To compare the efficacy and safety of MIS and CI for the treatment of SSTICH.

METHODS

Clinical and imaging data of 557 consecutive patients with SSTICH who underwent MIS or CI between January 2017 and December 2022 were retrospectively analysed. The patients were divided into two subgroups: The MIS group and CI group. Propensity score matching was performed to minimise case selection bias. The primary outcome was a dichotomous prognostic (favourable or unfavourable) outcome based on the modified Rankin Scale (mRS) score at 3 months; an mRS score of 0–2 was considered favourable.

RESULTS

In both conventional statistical and binary logistic regression analyses, the MIS group had a better outcome. The outcome of propensity score matching was unexpected (odds ratio: 0.582; 95%CI: 0.281–1.204; P = 0.144), which indicated that, after excluding the interference of each confounder, different surgical modalities were more effective, and there was no significant difference in their prognosis.

CONCLUSION

Deciding between MIS and CI should be made based on the individual patient, considering the hematoma size, degree of midline shift, cerebral swelling, and preoperative Glasgow Coma Scale score.
Pulmonary abscess caused by Streptococcus pseudopneumoniae in a child: A case report and review of literature
Authors: Ma Ran , Wang Yan-Mei , Guan Hua , Zhang Li , Zhang Wei , Chen Ling-Cai
Published: August 2024

BACKGROUND

Lung abscess found on chest X-ray and computed tomography examinations is rare in infants and young children. Several pathogens can cause lung abscesses, with the most common pathogens being anaerobes, Streptococci and Staphylococcus aureus. Streptococcus pseudopneumoniae (S. pseudopneumoniae ) is a member of the Streptococcaceae family, and is mainly isolated from respiratory tract specimens. There are currently no cases of lung abscess caused by S. pseudopneumoniae in the literature.

CASE SUMMARY

A 2-year-old boy was admitted to hospital due to persistent cough and fever. Lung computed tomography examination suggested the formation of a lung abscess. His diagnosis was not confirmed by testing for serum respiratory pathogens (6 items), respiratory pathogen nucleic acid (27 items), and laboratory culture. Finally, metagenomic next-generation sequencing of bronchoalveolar lavage fluid revealed the presence of S. pseudopneumoniae , confirming its role in causing the lung abscess. After receiving antibiotic treatment, reexamination with lung computed tomography showed that the abscess was resorbed and the patient’s outcome was good.

CONCLUSION

This is the first report of a lung abscess in a child caused by S. pseudopneumoniae infection. Metagenomic next-generation sequencing of bronchoalveolar lavage fluid is helpful in achieving rapid and accurate pathogen identification.
Plea to radiologists: Please consider Mahvash disease when encountering an enlarged pancreas
Authors: Yu Run
Published: August 2024

Radiologists play a key role in establishing an early and accurate diagnosis, especially for rare diseases. Mahvash disease (OMIM 619290) is an autosomal recessive hereditary disease caused by inactivating mutations of the glucagon receptor and its main clinical consequences are pancreatic neuroendocrine tumors and in some cases, porto-sinusoidal vascular disease and portal hypertension. Untreated Mahvash disease can be lethal. The diagnosis of Mahvash disease has almost always been delayed in the past due to radiologists’ unawareness of or unfamiliarity with the unique imaging features of Mahvash disease which are moderately to enormously enlarge pancreas with preserved pancreas contour and parenchyma without vascular involvement or lymphadenopathy. These features help differentiate Mahvash disease from other etiologies of diffusely enlarged pancreas such as diffuse pancreatic ductal carcinoma, diffuse pancreatic lymphoma, and autoimmune pancreatitis. Invoking Mahvash disease in the differential diagnosis of an enlarged pancreas has recently been shown to facilitate early diagnosis. To prevent missing the diagnosis of this significant disease, I sincerely ask radiologists to consider Mahvash disease in their differential diagnoses of diffusely enlarged pancreas.
The Enlightenment Museum as a Result of the Development of Education: The Case of the Musaeum Polonicum
Authors: Paul Paulina
Published: August 2024

The article presents the concept of the Musaeum Polonicum, developed in 1775 and published in the magazine Zabawy Przyjemne i Pożyteczne. Its author, Michał Jerzy Wandalin Mniszech (1748–1806), was an intellectual educated in the spirit of the European Enlightenment, involved in the scientific, cultural and political life of the Republic of Poland. He planned the museum as a didactic base for the academy of sciences and arts. The collection was to have a distinct national character, with educational and research functions. It was divided into groups corresponding to the Enlightenment classification of sciences. In the history of Polish museology, the Musaeum Polonicum was the first initiative to establish a national museum, although the project was ultimately not implemented.The research methodology was based on the classical historical approach of studying source texts, while taking into account the research perspectives of contemporary museological discourse. Archival materials representing two thematic groups were analysed: early museological texts which applied in the cultural area of the Republic of Poland in the second half of the eighteenth century, and texts related to Polish education and schooling. The results of these analyses are set in a European context. The aim of the article is to introduce a new research perspective to historical museology and the history of collecting. Its main assumption concerns the treatment of Enlightenment museums as a result of the development of education.