bluuebunny/crossref_metadata_2025 huggingface dataset:
An Investigation of the Effect of Anemia on Prognosis in Chronic Obstructive Pulmonary Disease
Authors: Ozer Simsek Zuhal , Gülmez İnci
Published: August 2024

Aim: The majority of healthcare facility admissions in individuals with chronic obstructive pulmonary disease (COPD) are attributable to exacerbations, known to negatively impact prognosis. This study aims to examine the relationship between anemia in COPD patients and the frequency of exacerbations, and consequently, its effect on prognosis.
Material and Method: Twenty-nine anemic, 30 normocytic, and 28 polycythemic patients diagnosed with COPD were enrolled and evaluated based on their Forced Expiratory Volume in One Second (FEV1) values, symptoms, exercise ability, and number of exacerbations. At one-year follow-up appointments, the history of emergency department visits, outpatient clinic visits, intensive care admissions, and hospitalizations requiring respiratory support during the year were recorded for patients.
Results: Similar to other research on anemia in COPD, the anemia seen in the current study was most typically consistent with chronic disease anemia. When the anemic group was compared with the normostemic and polycystic groups with regard to the frequency of exacerbations, both the count of emergency department visits and hospitalizations requiring intensive care were found to be statistically meaningfully higher in the anemic group compared to the non-anemics.
Conclusion: The results obtained in the present study show that anemia in COPD is associated with increased hospital admissions and exacerbations. Given that increased exacerbation frequency is a known poor prognostic factor, it can be inferred that anemia, by increasing exacerbation frequency, contributes to poor prognosis.
Age-Related Variations in Treatment Patterns for Axial Spondyloarthritis
Authors: Kayacan Erdoğan Esra , Orhan Kevser , Koçak Ulucaköy Rezan , Özdemir Bahar , Güven Serdar Can , Atalar Ebru , Armağan Berkan , Babaoglu Hakan
Published: August 2024

Aim: This study examines treatment patterns and preferences among patients diagnosed with Axial Spondyloarthritis (AxSpA) across different age groups.
Material and Method: Ankara Bilkent City Hospital registry enabled a comprehensive cross-sectional analysis of 2,811 patients stratified into three age groups: 18-40, 41-55, and over 55 years. These groups were compared in terms of their treatments.
Results: Our findings indicate an increasing prevalence of female patients and comorbidities with age. Medication usage patterns showed a trend towards increased use of Methotrexate and Colchicine with age, while Sulfasalazine and Leflunomide were more commonly prescribed in older age groups. Notably, the use of biologic Disease-Modifying Anti-Rheumatic Drugs (bDMARDs), including anti-Tumor Necrosis Factor (anti-TNF)", "anti-Interleukin (anti-IL) agents, demonstrated a declining trend with advancing age, though not reaching statistical significance. This trend was also reflected in gender-specific treatment distributions, where no significant difference was found in bDMARDs administration among patients over 55 years, contrasting with a higher usage rate in younger male patients.
Conclusion: Our study highlights a shift towards more conservative treatment approaches, such as increased conventional synthetic Disease-Modifying Anti-Rheumatic Drugs (csDMARDs) use in older patients, likely due to their safety profile and the specific challenges associated with treating older adults, including higher comorbidity rates and medication side effects. These findings emphasize the need for personalized treatment strategies and suggest potential adjustments in clinical practices to better accommodate the aging population, advocating for ongoing research to optimize treatment efficacy and safety for elderly patients with AxSpA.
An Approach to Thorax Morphometry with New Reference Values: A Morphological Study
Authors: Doğan Zümrüt , Zencirci Busra , Yüzer Muhammed Emre , Pekmez Hıdır , Baykan Ali
Published: August 2024

Aim: Radiological evaluation is frequently used in the evaluation of healthy individuals or patients. When performing radiological evaluations, certain anatomical reference regions and values must be known in order to discover anomalies or variations. In this study, it was aimed to bring new anatomical reference values, which have not been studied before, to the literature and clinical evaluation.
Material and Method: This is a retrospective study that examines the patient archives in the Department of Radiology of Adıyaman University Training and Research Hospital. 57 women, 55 men, a total of 112 cases (age range 0-50 years) were included in the study. By using radiological measurements with Computed Tomography (CT); Manubrio-Sternal Angle (MSA), Manubrio-Vertebral Distance (MVD), Xipho-Vertebral Distance (XVD), Manubrio-Xiphoid Distance (MXD) were measured.
Results: When the measurements were evaluated statistically, there was a significant gender difference in Louis angle (SA) and MVD values of the individuals participating in the study; There was a significant age-related difference in MXD and XVD values.
Conclusion: With this study, some morphometric measurements of the thorax cavity are presented. It will contribute to the literature in determining the normal reference values of the thorax and adjacent structures. Knowing the normal anatomical structure in the clinic will contribute to the physician in the differentiation of pathologies, diagnosis.
Turkish Validity and Reliability of Oral Health Impact on Daily Life Questionnaire in Endodontic Patients
Authors: Yiğit Ayşe Begüm , Şanal Çıkman Ahter
Published: August 2024

Aim: Oral health has an important role in the general health. It was aimed to evaluate the validity and reliability of Turkish version of Oral Health Impact on Daily Life Questionnaire (OHIDL) in adult endodontic patients.
Material and Method: The OHIDL was translated and adapted into Turkish. The Turkish version of OHIDL (Turkish-OHIDL) and Turkish version of the Oral Health Impact Scale (OHIP-14-TR) were applied to 222 adult endodontic patients (18 years and older) with no systemic disease. The reliability of the questionnaire was examined by test-retest reliability and internal consistency. The validity was evaluated by the correlations between domains and global questions, and between Turkish-OHIDL and OHIP-14-TR. The structure of the hypothesized domains of the OHIDL was analyzed by confirmatory factor analysis (CFA).
Results: The Turkish-OHIDL exhibited high internal consistency (Cronbach's alpha=0.89) and test-retest reliability (Intraclass Correlation Coefficient=0.86). There was a significant correlation between Turkish-OHIDL and OHIP-14-TR among all domains. There was a very strong correlation in terms of total score as well (rs: 0.78, p
The variability of the onset and end dates of the rainy season in Owerri Imo State, Nigeria.
Authors: Ezeh Christopher , Ekwezuo Chukwudi
Published: August 2024

The paper assessed the onset and end dates of the rainy season in Owerri Imo State, Nigeria using daily rainfall data from 1987 to 2016. The study employed the Hybrid method derived from Walter’s and Anyadike’s methods to determine the dates of the onset and end of the rainy season. The mean dates of the onset are 23rd Feb., 8th April, and 17th March for Walter, Anyadike, and Hybrid methods respectively. The end dates of the rainy season are the 28th, 19th, and 24th of October for Walter, Anyadike’s, and hybrid methods respectively. The area is experiencing early dates of the onset of the rainy season in recent years with later dates of the end of the rainy season. The end dates of the rainy season also significantly impact the rainfall regime in the State. The hybrid method proved better than Walter and Anyadike’s method of prediction in that it attenuated the underestimation associated with Anyadike’s method and the overestimation associated with Walter’s method. Therefore, it should be utilised in the assessment of the onset and end dates of the rainy season in the rainforest ecological zones. The study contributes to the body of knowledge in determining the onset and end dates of the rainy season in Owerri Imo State which is useful to rain-fed agriculture and other hydro-climatic planning.
Fracionamento de Vaselina líquida para Pacientes com Psoríase
Authors: Silva Luysa Castro Albuquerque , Guadalupe Anne Ellen Santana de , Pimentel Francine Sanchotene , Monteiro Carla Larissa de Souza , Santos Philip Silva dos , Paes Ellen Regina da Costa
Published: August 2024

Introdução: A psoríase é uma doença crônica da pele que afeta cerca de 2-3% da população, caracterizada por manchas vermelhas e descamativas, gerando desconforto aos pacientes devido a aparência das lesões da doença. Objetivos: Fracionar e dispensar vaselina líquida para portadores de Psoríase na Fundação Alfredo da Matta, orientar os pacientes sobre a patologia e a utilização da vaselina líquida no tratamento das lesões, além de proporcionar aos participantes conhecimentos quanto a doença, o fracionamento e papel do farmacêutico. Método: Foi realizado estudo teórico com os acadêmicos para nivelamento do conhecimento acerca do conteúdo proposto pela pesquisa. Posteriormente, foi executado o fracionamento da vaselina líquida e o material foi levado ao Hospital Alfredo da Matta para distribuição e orientação aos pacientes portadores de psoríase. Resultados: Nesse estudo percebeu-se a importância de uma boa orientação no fracionamento e quanto ao uso de medicamentos. A vaselina foi fracionada de forma rigorosa e com qualidade, visando assegurar a simétrica divisão das doses aos pacientes. Os pacientes do Hospital Alfredo da Matta se beneficiaram do atendimento realizado pelos acadêmicos do curso de farmácia, levando consigo não apenas a vaselina líquida, mas também a orientação quanto ao uso correto desse medicamento. Conclusão: Sendo assim, o farmacêutico é um profissional que garante a confiabilidade na distribuição correta nas doses do medicamento e através disso contribui na qualidade de vida dos pacientes.
Leveraging Artificial Intelligence to Address Climate Change
Authors: Kumar T. Charith , Sandeep U. , Nagasri T. Sushma , Kumar P. Sai , Swathi K.
Published: August 2024

The paper explores how AI-enabled utilizing data analytics and machine learning methodologies enables deeper insights into the intricate patterns and behaviors of climate dynamics by analysing amounts of various data, integrating information from various origins, like satellite imagery, and the sensory data is processed to reveal meaningful insights for better understanding and informed actions. These can inform any policy decisions and facilitate more targeted interventions to mitigate the impacts of the climate conditions. The work discussed here in this research provided sources focuses on leveraging artificial intelligence (AI) and machine learning (ML) to address climate change challenges. Studies emphasize AI-driven strategies for climate change adaptation and including predicting various changes in the environment, and changes in the weather patterns. The research highlights the importance of weather conditions, and change in the weather patterns, and in developing effective AI-powered climate change in the adaptation strategies. And accordingly, these studies shows how effectively different AI and ML models like LSTM, ANN, CNN in improving the climate predictions and understanding the weather. AI and ML technologies in enhancing the changes in the weather, mitigation.
Sustainable electromobility development in Lithuania comparing with EU countries in context of the European green deal
Authors: Peleckienė Valentina , Peleckis Kęstutis
Published: August 2024

The global climate is currently warming due to human activity. The period 2011–2020 was recorded as the warmest decade. CO2 produced by human activity is the biggest contributor to global warming. Since every ton of CO2 emitted contributes to global warming, all emissions reductions can help to slow it down. Currently, the cars used by the population still do not ensure a sufficient reduction of CO2 emissions. The purpose of paper is to investigate the potential of electromobility development as a means to mitigate CO2 emissions in EU countries. The research methodology: statistical and comparable analysis of environmental and economic factors influencing the electromobility development in EU countries during last decade were performed. The conclusions of paper provide results of electromobility development, the main obstacles and needed government policies and incentives.
Circumnuclear Dust in Luminous Early-type Galaxies. I. Sample Properties and Stellar Luminosity Models
Authors: Davidson Jared R. , Boizelle Benjamin D. , Walsh Jonelle L. , Barth Aaron J. , Rasmussen Emma , Baker Andrew J. , Buote David A. , Darling Jeremy , Ho Luis C. , Kabasares Kyle M. , Cohn Jonathan H.
Published: August 2024

Dusty circumnuclear disks (CNDs) in luminous early-type galaxies (ETGs) show regular, dynamically cold molecular gas kinematics. For a growing number of ETGs, Atacama Large Millimeter/sub-millimeter Array (ALMA) CO imaging and detailed gas-dynamical modeling facilitate moderate-to-high precision black hole (BH) mass (M
BH) determinations. From the ALMA archive, we identified a subset of 26 ETGs with estimated M
BH/M
⊙ ≳ 108 to a few × 109 and clean CO kinematics but that previously did not have sufficiently high-angular-resolution near-IR observations to mitigate dust obscuration when constructing stellar luminosity models. We present new optical and near-IR Hubble Space Telescope (HST) images of this sample to supplement the archival HST data, detailing the sample properties and data-analysis techniques. After masking the most apparent dust features, we measure stellar surface-brightness profiles and model the luminosities using the multi-Gaussian expansion (MGE) formalism. Some of these MGEs have already been used in CO dynamical modeling efforts to secure quality M
BH determinations, and the remaining ETG targets here are expected to significantly improve the high-mass end of the current BH census, facilitating new scrutiny of local BH mass–host galaxy scaling relationships. We also explore stellar isophotal behavior and general dust properties, finding these CNDs generally become optically thick in the near-IR (A

H
≳ 1 mag). These CNDs are typically well aligned with the larger-scale stellar photometric axes, with a few notable exceptions. Uncertain dust impact on the MGE often dominates the BH mass error budget, so extensions of this work will focus on constraining CND dust attenuation.
Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C
Authors: Jin Sheng , Jiang Wenxin , Wu Dong-Hong
Published: August 2024

Due to the high dimensionality or multimodality that is common in modern astronomy, sampling Bayesian posteriors can be challenging. Several publicly available codes based on different sampling algorithms can solve these complex models, but the execution of the code is not always efficient or fast enough. The article introduces a C language general-purpose code, Nii-C, that implements a framework of automatic parallel tempering Markov Chain Monte Carlo. Automatic in this context means that the parameters that ensure an efficient parallel tempering process can be set by a control system during the inital stages of a sampling process. The autotuned parameters consist of two parts, the temperature ladders of all parallel tempering Markov Chains and the proposal distributions for all model parameters across all parallel tempering chains. In order to reduce dependencies in the compilation process and increase the code’s execution speed, Nii-C code is constructed entirely in the C language and parallelized using the message-passing interface protocol to optimize the efficiency of parallel sampling. These implementations facilitate rapid convergence in the sampling of high-dimensional and multimodal distributions, as well as the expeditious code execution time. The Nii-C code can be used in various research areas to trace complex distributions due to its high sampling efficiency and quick execution speed. This article presents a few applications of the Nii-C code.
A new species of Petraeomastus Möllendorff, 1901, with an atypical shell morphology from the Lancangjiang River Valley in southwest China (Gastropoda, Stylommatophora, Enidae)
Authors: Chen Zhong-Guang , Dai Yu-Ting , Wu Xiao-Ping , Jiang Jiao , Ouyang Shan
Published: August 2024

Our study contains the first molecular phylogeny of Chinese enids based on the mitochondrial markers cytochrome oxidase c (COI) and 16S rRNA (16S). We have sequenced 19 species belonging to 10 out of the 12 currently accepted genera. A new species, Petraeomastus limenghuai Chen, Dai, Wu & Ouyang, sp. nov., is described from the Lancangjiang River Valley in southwest China based on comparative morphology and molecular phylogeny. The currently accepted classification of Chinese enids relies largely on shell morphology and is deemed to require systematic revision.
A note on explicit conditions for diagonal stability
Authors: Algefary Ali , Xu Jianhong
Published: August 2024

In this short note, we presented a number of alternative explicit necessary and sufficient conditions for diagonal stability along with a new proof of a well-known result in this regard.
Global stability of traveling fronts of a diffusion system with the Belousov-Zhabotinskii reaction
Authors: Niu Hong-Tao
Published: August 2024

This paper studied the asymptotic stability of traveling fronts of the Belousov-Zhabotinskii (BZ for short) system. Under the condition that the initial perturbation decays as $ |x|\rightarrow \infty $, we came to the conclusion that the traveling fronts were globally exponentially stable. The main method was the super and sub-solutions combined with a squeezing technique.
Approximate controllability for a class of fractional semilinear system with instantaneous and non-instantaneous impulses
Authors: Chu Yunhao , Liu Yansheng
Published: August 2024

This paper is mainly concerned with the existence of mild solutions and approximate controllability for a class of fractional semilinear systems with instantaneous and non-instantaneous impulses. By applying the Kuratowski measure of noncompactness and $ \rho $-set contractive fixed-point theorem, the results for the considered system were obtained. In the end, an example was studied to support the main results.
Revolutionizing Healthcare in the Metaverse
Authors: Ahmad Munir , Bangash Sudhair Abbas , Shah Syed Sikandar , Chemingui Houssem , Abubakar Muhammad
Published: August 2024

Healthcare metaverses are acknowledged for their potential to revolutionize intelligent and personalized healthcare services. The incorporation of blockchain technology into the metaverse healthcare domain introduces an innovative pathway to enhance security, privacy, and interoperability within virtual healthcare settings. Despite the challenges such as integration complexities, scalability concerns, legal intricacies, user education, interoperability challenges, resource requirements, and institutional resistance, the potential advantages are substantial. The secure storage of medical records, decentralized data sharing, and the empowerment of patients through data ownership signify a healthcare environment within the metaverse that prioritizes individual privacy, fosters innovation, and encourages collaboration.
Influence of Generative AI on Healthcare Industries Enhanced by the Metaverse
Authors: Kumari Rashmi , Singh Raghwendra Kishore
Published: August 2024

The integration of generative AI and the metaverse in healthcare is poised to revolutionize the industry by enhancing medical service delivery, education, and patient engagement. Generative AI's prowess in creating and analyzing vast datasets enables predictive insights novel solutions in healthcare, improving diagnosis accuracy and treatment efficacy. The metaverse, with immersive virtual environments, facilitates remote consultations, medical training, health education, making healthcare more accessible and engaging. Together they offer a futuristic approach to personalized medicine, allowing for real-time health monitoring and predictive analytics for preventive care. However, this integration also brings challenges, including data privacy concerns, the need for comprehensive regulatory frameworks, and addressing digital literacy disparities. Addressing these challenges is crucial for maximizing the transformative potential of Generative AI and the Metaverse in healthcare, promising a future of improved patient outcomes, operational efficiency, and a more equitable healthcare system.
Stress Reduction Through Virtual Therapy Centre in Metaverse
Authors: Indu M. Anita
Published: August 2024

The increasing prevalence of stress-related disorders underscores the need for innovative solutions. This abstract presents a novel approach to stress reduction through a Virtual Therapy Centre in the metaverse. Leveraging the immersive nature of virtual reality (VR) and the social connectivity of the metaverse, the virtual therapy centre provides a unique environment for therapeutic interventions. The key features of the virtual therapy centre include customizable avatars, immersive environments, and real-time biofeedback to enhance the therapeutic experience. Preliminary studies indicate that the virtual therapy centre has a positive impact on stress reduction, with users reporting decreased levels of stress and increased feelings of relaxation and well-being. The virtual therapy centre represents a promising approach to stress reduction, offering a scalable and accessible platform for delivering therapeutic interventions in the metaverse.
Impact of Social Responsibility Indicators on the Technical Efficiency of Banks Using Machine Learning
Authors: Gupta Vipul , Layek Shirshendu , Bhushan Megha
Published: August 2024

Social responsibility (SR) implies the responsibility of firms obliged toward society from which various institutions derive the benefits. The present work aimed to analyze the impact of SR on the technical efficiency (TE) of public sector banks (PSBs) with artificial intelligence podiums. It also identified an important SR indicator inclusive of four dimensions. Mathematically extracting the importance of each parameter related to the efficiency metrics is tedious. Therefore, supervised machine learning (ML) algorithms like random forest (RF) and XGBoost (XGB) were applied in this study. Furthermore, banks' effective implementation of SR policy for sustainable development was discussed based on ML. In this study, the impact of 46 social responsibility indicators on the technical efficiency of PSBs was investigated using ML and non-parametric approach. Furthermore, the present chapter added to the body of literature by analyzing which indicator of SR better influenced technical efficiency of PSBs using ML. The results revealed that an important indicator that impacted efficiency concerning constant and variable return to scale is an area of specialization and background of employees working in PSBs. This depicted that PSBs implied to work on the efficiency of its employees in terms of social responsibility.
Gender Aspect of Political Processes in South Caucasus Countries
Authors: Jojishvili Ketevan
Published: August 2024

The paper is dedicated to the study of the gender aspect of political processes on the example of the South Caucasus. In particular, the example of Georgia, Armenia and Azerbaijan to identify the characteristics of gender issues in the context of political processes, which is vital for each state on the path to communion with democratic values. In addition, the existing paper was pitched in a positive nuance by using a method of comparative analysis, which provides a common gender picture in the political reality of the South Caucasus region, which is accompanied by a whole range of gender equality problems in Georgia, Armenia and Azerbaijan.
Gender Quota
Authors: Darchashvili Manana , Alaverdov Emilia
Published: August 2024

In the modern world, women's political participation is one of the most important prerequisites for the country's democratic development. The fact that women's activism in political processes can bring about many positive changes does not need to be proven anymore. In Georgia, for the political empowerment of women, several reforms have been implemented, and as a result, their number in political processes has increased. However, this is not enough, because the country must do so, both under national legislation and in light of several international obligations. In the country's polarized political environment, there are still many challenges for women politicians. Accordingly, their greater involvement in parliamentary activities will play a positive and important role in European integration. The presented paper aims to show the problem and solve it by understanding the correct political steps in the past, to study the processes of how correctly the political course of the country is proceeding to solve the issue.
International and National Dimensions of Gender Issues in Higher Education in Ukraine
Authors: Voloshyn Yurii , Stryhul Maryna
Published: August 2024

The article solves a scientific problem, the essence of which is gender issues. Gender is the subject of research in Sociology, Law, Cultural Studies, History, Psychology, etc. The situation is formulated by the basic ideological ideas of the gender approach, including building civil society in Ukraine, developing and strengthening democratic ideas and views, and overcoming gender discrimination. This article pays attention to the gender approach in education, which is aimed at analyzing social reality, and the individual experience of men and women in overcoming the consequences of unfair differentiation of male and female roles and inequality of status positions. Gender issues are analyzed through the prism of sociological and legal analysis.
Modernity and Gender Features of Georgian Culture
Authors: Kipiani Maia
Published: August 2024

The paper analyzes the gender characteristics of modern Georgian culture. There is a hidden form of discrimination against women, a double standard since the respect of a woman is expressed only in a written way. Thus, unfortunately in Georgia women are given only second place. The problem is that the society does not see the specific benefits of gender equality. However, in Georgia, the mother is still recognized as the highest legislator, and this is the main gender characteristic of Georgian culture. The article emphasizes the necessity of rethinking the mother's phenomenon in the modern context and active educational work with them, which will lead to a change in the status of women for the better. The article mentions that it is still a transitional period, the old patriarchal gender stereotypes have not been destroyed, nor have new egalitarian principles been finally established.
Social Aspect of Gender Inequality
Authors: Riezanova Natalia , Postol Olena
Published: August 2024

The article studies the dynamics of methodological approaches to the study of gender inequality and defines gender inequality as a difference in the status of gender in various spheres of society. Gender inequality is due to the influence of the gender factor on the possibilities of different access to material and spiritual goods, as well as different opportunities for the realization of the individual's inner potential in the social environment. Gender is constructed at the macro-social level of society. Social institutions shape the content and realization of gender at the level of social relations, social patterns, social statuses and roles. Gender is always a reflection of the norms of specific social groups within which individuals act, so gender is a structural characteristic of social life. The gender system considers not so much the difference between the sexes as the importance that society attaches to them.
Margaret Thatcher and Foreign Policy
Authors: Yigit Sureyya
Published: August 2024

During her three terms in office, Margaret Thatcher pursued a proactive foreign policy heavily influenced by the dynamics of the Cold War. She strategically reassessed Britain's relationship with the European Communities, successfully negotiating a financial rebate for the country. While emphasizing state sovereignty, she engaged in armed conflict with Argentina over the Falkland Islands, ultimately securing their return to British control. Over time, Thatcher became more sceptical about European integration, initially opposing German reunification and advocating for a more limited scope of cooperation focused on economic rather than political issues. This approach resulted in significant tensions both internationally and within her political party, leading to internal strife and ultimately to her political downfall. This chapter comprehensively examines her foreign policy decisions and their impact during her time as prime minister.
Synthesis and Applications of Nanomaterials in Biomedicine
Authors: Gupta Namrata , Ganguly Sumana , Thakker Suhani
Published: August 2024

Nanotechnology has emerged as a revolutionary field with the potential to transform various aspects of science and technology. Nanomaterials, defined as materials with at least one dimension in the nanometer range (typically 1-100 nanometers), exhibit properties distinct from their bulk counterparts. Their large surface area with their unique properties arising from their nanoscale dimensions, quantum effects, and tunable behavior make them invaluable tools in biomedicine. These materials offer exciting opportunities for diagnostics, drug delivery, tissue engineering, and more. In this chapter, we delve into comprehensive analysis of various synthesis techniques and highlights the various innovative applications of nanomaterials in biomedicine, emphasizing their potential impact on advancing research and healthcare.
Examining AI in the Hospitality and Hotel Branding Landscape
Authors: Kumar Dilip , Shandilya Abhinav Kumar
Published: August 2024

The present study attempts to identify the publication and citation growth, highly cited articles, and keyword occurrences through performance analysis of artificial intelligence (AI) that has been transforming the hotels and hospitality industry (HHI). Science mapping is performed to find the keyword clusters using the bibliometric approach using VOSviewer. Only 34 documents that fulfilled the selection criteria were included in the study. The documents received 917 citations from the inception (2011). The top ten highly cited articles have received 892 citations, which is 97.3% of the total received citations. 36 keywords appeared and formed four clusters: Smart hospitality solutions, AI-driven hospitality branding, strategic hospitality branding, and enhanced guest experience branding, which can be helpful as a marketing tool and improve operational efficiency and guest satisfaction. Bibliographic coupling document analysis may help generate the latest themes. Branding using AI can be a milestone step in the hospitality industry due to emerging technologies and automated processes.
Innovative Approaches to Market Segmentation Using AI in Emerging Economies
Authors: Vetrivel S. C. , Saravanan T. P. , Arun V. P. , Maheswari R.
Published: August 2024

This chapter explores innovative approaches to market segmentation using artificial intelligence (AI) in emerging economies. Traditional market segmentation techniques often fall short in dynamic and rapidly evolving markets, where diverse consumer behaviors and limited data availability pose significant challenges. AI, with its advanced data processing and pattern recognition capabilities, offers new possibilities for more accurate and actionable market segmentation. In emerging economies, AI-driven segmentation can harness big data from various sources, including social media, mobile usage, and transactional data to identify and understand distinct consumer segments. Machine learning algorithms can analyze these vast datasets to uncover hidden patterns and predict future consumer behaviors, enabling businesses to tailor their marketing strategies effectively. The chapter highlights case studies where AI has been successfully implemented for market segmentation in emerging markets, demonstrating improvements in targeting accuracy, customer engagement, and overall marketing efficiency.
The Importance of Communication in Organizations Private Lisbon Network
Authors: dos Reis Felipa Lopes , Serôdio Diana , Teixeira Joana
Published: August 2024

This research aims to understand how communication and great first impressions have an impact among the employees of the Lisbon's Private Network of the Ageas Portugal Group. The data collection's instruments used were questionnaire surveys to employees, which resulted in 97 valid responses and 4 interviews exclusively with managers. The collected data was processed using EXCEL. The results show that communication must be done in a transparent way and should include all parts; a great first impression is an important aspect of the organization as it improves of the chances of the customer coming back to it and recommending it. Communication and great first impressions are effective in AGEAS and face-to-face communication is not the most used in the Private Lisbon Network of the Ageas Portugal Group.
The Rise and Advancement
Authors: Burton Sharon L.
Published: August 2024

This chapter delves into the historical development and transformative journey of cyber-intelligent markets since 1834. Employing a qualitative methodology and comprehensive literature review, the chapter traces the evolution from basic cybersecurity measures to advanced intelligence-driven ecosystems. Highlighted is the pivotal role of technological advancements in threat assessment and response, emphasizing the proactive, predictive capabilities enabled by sophisticated algorithms, AI, and machine learning. This research offers insights for cybersecurity professionals, business leaders, policymakers, and academics. Documented is the transition from reactive cybersecurity to dynamic, proactive strategies, underscoring the significance of continuous adaptation to evolving cyber threats. The chapter offers significant contribution to understanding the evolution and future trajectory of digital defense mechanisms in intelligent cybersecurity markets.
Smart Solutions in Hospitality
Authors: Srivastava Prerna , Tyagi Pankaj Kumar
Published: August 2024

The hospitality sector is always looking for new and creative ways to improve both the visitor experience and the efficiency of operations. Housekeeping is one important field that is ready for technological progress. This study looks at how hotel housekeeping operations can integrate cutting-edge technologies like robotics, artificial intelligence, and the internet of things. Hotels may increase client pleasure, improve service quality, and streamline cleaning operations by utilizing smart solutions. In this chapter, the state of technology in the hospitality industry is examined, significant technical trends are noted, and their effects on cleaning procedures are evaluated. The authors will examine case studies of hotels using these technologies to identify best practices and possible problems. According to the research, smart technology enhances housekeeping effectiveness while also fostering a more responsive and sustainable hospitality setting.
Application of Situational Crime Prevention Framework for Cybercrime Mitigation
Authors: Akinbowale Oluwatoyin Esther , Zerihun Mulatu Fekadu , Mashigo Polly
Published: August 2024

The purpose of this study is to apply the Situational Crime Prevention (SCP) technique to cybercrime mitigation using the South Africa cybercrime incidences as a case study. The SCP was first explained from the theoretical perspective and its five major strategies namely “increase effort”, “increase risks”, “reduce reward”, “reduce provocation” and remove excuses” were explained and linked to remote and online crimes. Prevalent cybercrimes perpetrated in South Africa were also highlighted with hacking used specifically as an example in this study. The SCP technique was tailored towards the mitigation of hacking and its prevalent forms. The SCP fraud prevention “hardening framework” was developed and validated using the hacking incidences in South Africa as a case study. Based on this policy recommendations were made to promote cyber resilience. The outcomes of this study are conceptual frameworks with guidelines for applying the SCP strategies to remote and online crime. The conceptual frameworks are suitable for cybercrime prevention and mitigation and for achieving cyber-resilience
Active Vibration Control of Flexible Structures Based on Piezoelectric Materials
Authors: Yang Hongbin , Ding Huixia
Published: August 2024

With the rapid development of China's space industry, flexible structures are more and more widely used in spacecraft development, and vibration control has become the main challenge of spacecraft stability. In this paper, the vibration control of spacecraft flexible structure is taken as the research goal, the basic characteristics and piezoelectric equations of piezoelectric materials are systematically introduced, the modeling and active vibration control of piezoelectric flexible structure are studied, and the vibration control of piezoelectric flexible structure is established. In this paper, an experimental platform for active control is built, and vibration measurement and control experiments are carried out on the experimental platform, which verifies the effectiveness of PID control algorithm based on BP neural network for vibration control, provides theoretical data support for active vibration control of engineering piezoelectric structures, and also provides reference for the research of similar systems with engineering practicability in the future.
Social Media Usages During COVID-19 Confinement
Authors: Zammar Nisrine
Published: August 2024

Although Lebanon currently has the highest proportion of adults aged 65 years and above, we noticed the lack of sufficient studies and information on older people in many fields. The Lebanese older population suffered from the outbreak of Covid-19, because the confinement isolated them and hindered their participation in societal activities. Hence, most of them replaced the traditional social interactions with the usages of social media. The literature review reveals that most of the studies conducted in Lebanon on Covid-19 pandemic did not provide valuable information on the older people in relation to social media usages during the pandemic. Thus, this study aims at filling this gap by addressing the social media role and usage habits in the life of the Lebanese older people during the confinement. And based on the findings of this study, we will suggest some implications for the benefit of a post-pandemic older population in Lebanon.
Catalyzing Financial Risk Control Excellence
Authors: Song Yunan , An Xuewei , Zhang Wenkai , Sun Kaiyang , Zhang Anqi
Published: August 2024

In today's financial landscape, characterized by the rapid growth of fintech and the extensive application of big data, the volume and complexity of financial transaction data are increasing. This has heightened the need for intelligent risk control models, posing significant challenges to traditional methods. In this case, research on intelligent risk control models based on deep learning has emerged as a new solution. This paper proposes a PSO-Xgboost-Transformer fusion deep learning model designed to enhance the performance of traditional risk control approaches in managing financial risks. The model integrates the Particle Swarm Optimization (PSO) algorithm, the Xgboost model, and the Transformer model to leverage their respective strengths. Initially, the PSO algorithm is employed to select and optimize features, thereby enhancing the model's robustness and generalization capabilities. Subsequently, the Xgboost model uses these optimized features for prediction and evaluation, generating preliminary risk prediction results.
Effects of Curing Conditions, Age, and Particle Size on CO2 Sequestration of Basic Oxygen Furnace Slag Used in Concrete
Authors: Ualiyev Dulat , Omarova Zhaniya , Shon Chang Seon , Zhang Dichuan , Kim Jong Ryeol
Published: August 2024

Mineral sequestration technology is one of the most effective carbon capture and storage techniques. Basic oxygen furnace slag (BOFS), one of the by-products generated during the steelmaking process, has a particularly high potential for mineral sequestration compared to other similar wastes such as blast furnace slag and ladle slag. In the case of BOFS, mineral sequestration not only contributes to carbon uptake but also stabilizes its internal structure. So far, most of the investigations on BOFS mineral sequestration rely on accelerated carbonation involving high pressures and supplying concentrated CO2 in a short period. Although these studies are useful for investigating the overall potential for carbon capture of BOFS, they are less useful for practical applications on a large scale. Moreover, it is hard to draw any conclusions regarding the carbonation reactions lasting for years in stockpiles of BOFS. This research identified the consequences of long-term carbonation on BOFS samples and determined the best conditions for natural mineral sequestration.
Characterization of Phosphogypsum for Potential Uses in Soil Stabilization
Authors: Temirbekov Doszhan , Shon Chang Seon , Manap Islambek , Kim Do Kyum , Kim Hong Seop , Kim Jong Ryeol
Published: August 2024

This research investigated the influence of phosphogypsum (PG) addition to mortar mixture and determined the possibility of utilizing PG in soil stabilization. Originally, the chemical composition and mineralogy of the PG were determined using X-ray fluorescence (XRF) and X-ray diffraction (XRD) tests. The principal constituent of PG becomes calcium sulfate hemihydrate with the presence of some impurities. A total of 9 mixes have been developed: A plain mortar mix is a comparative base, and the other 4 mixes are with 5, 10, 15, and 20 % cement replacement with PG for each type (fresh and stockpiled PG called PGF and PGS, respectively). The experimental program focuses on analyzing the effects of PG on setting time, hardened density, compressive strength, and water expansion of mortar mixtures before its soil stabilization application. Test results indicate that with higher PG, the setting time of the mortar mix is delayed except for the mixture with 20% PG, which experienced an early false set. The results of the compressive strength tests revealed that the 5% PG mixes exhibited higher values compared to the control mix, starting from the 28-day curing period, regardless of PG type. Although the higher PG content and compressive strength lowered, the expansion levels were very low based on the ASTM C 1260 limits for all mixtures, excluding heaving risks.
Experimental Evaluation of Adobe Bricks Reinforced with Rice Husk, Lime and Neem Fibers for the Construction of Sustainable Housing in Andean Areas
Authors: Gutierrez Luis Fernando , Casas Joan Ramon , Delgadillo Rick Milton
Published: August 2024

Adobe homes are prone to natural phenomena such as floods, landslides, and earthquakes, due to the intense rains that occur from the month of November to March. This study aimed to investigate the mechanical properties of adobes reinforced with rice husk, lime and neem fibers and evaluate their compressive strength and water absorption capacity. The tests were carried out on adobes with dimensions of 10×10×10 cm3 made with earth, 0.75% rice husk, 0.75% lime and 1 to 3% neem fibers of the total weight of the adobe to determine the evaluations of the specimen. Therefore, a visit was made to the study area located in the province of Yauyos - Peru to classify the type of soil that would be used in the samples, then sift the soil to prepare the mud and let it rest for 24 hours. Then, incorporate the reinforcements and mold the adobes to let them dry for 28 days and proceed with the tests. The research recorded an improvement of 39 and 68% respectively on the strength of adobes reinforced only with rice husk and lime; and neem fibers after 28 days of drying with a proportion of 0.75% rice husk, 0.75% lime and 3% neem fibers. The absorption coefficient of adobes reinforced with rice husk, lime and neem fibers are between 16 and 27% better than adobes reinforced separately. Finally, this research will reduce the damage to homes caused by rains through the use of materials found in the localities and reduce pollution, thus creating a sustainable home with low costs for the inhabitants.
Analysis of the Effect of Slenderness Ratio on Axial Force in T-Section
Authors: Hsu Wei Hsun , Chung Hsiao Chi , Hsu Wei Ting
Published: August 2024

This study extensively investigates T-shaped axial compression members with varying wing-flange width-to-thickness ratios, focusing primarily on the influence of section width-to-thickness ratio and effective width on the sectional resistance. Based on the AISC 2017 specifications, assuming the overall component is a stable member, the study analyzes the impact of varying the wing-flange width-to-thickness ratio on the sectional stability and resistance of the structure. Especially for slender sections that exceed the width-to-thickness ratio limits specified in AISC 2017, it is necessary to consider the sectional resistance affected by local buckling. Therefore, the concept of reduced section is proposed - effective width constraint, which accurately reflects the actual resistance of the component. As the T-shaped section is a singly symmetric profile, a detailed analysis will be conducted on flexural buckling (FB) and flexural-torsional buckling (FTB) under various wing-flange width-to-thickness ratio conditions. Through the analysis of these two buckling behaviors, a more comprehensive understanding of the stability and resistance of T-shaped section members under different wing-flange width-to-thickness ratio conditions can be achieved. This study contributes to the understanding of the stability and cross-sectional solid of T-shaped members, providing insights for the design analysis of AISC2017-specified T-shaped section components. Particularly, it focuses on research related to section width-to-thickness ratio, slender section considerations, and sectional resistance. Further research is conducted on the issue of reduced resistance due to excessively slender cross-sections. This not only aids in better understanding the resistance of cross-sections but also provides practical design references. Therefore, this study holds research value regarding the analysis of the width-to-thickness ratio design for T-sections in the AISC 2017 specification, particularly when considering factors related to slender sections and cross-sectional resistance.
Investigation of the Influence of Aluminosilicate Adhesives Modified with Magnesite on the Strength Properties of Glued Wood Products
Authors: Lashchivskiy Vasyl
Published: August 2024

The work is devoted to the study of magnesite influence on the strength properties of glued wood products with aluminosilicate adhesive. It they shown that the introduction of magnesite in the composition of aluminosilicate glue in the amount from 0.5 to 1.5 % contributes to an increase in the shear strength along the fibres by 1.57 times compared to the normative requirement (not less than 4 MPa). It we found that the bending strength of glued wood on a toothed spike is 1.4 times higher than the normative (not less than 26 MPa). After fire tests, no destruction of the glue joint on the spike we observed, and the bending strength of the samples increases proportionally to the introduction of magnesite in the glue composition. Water resistance of glue joints on the toothed spike when the samples we kept for 48 hours at the temperature 20 °С is higher than the standard value and increases with the increase of magnesite content in the glue composition. After boiling at the temperature 100 °С for 3 hours the samples containing 1.5 % magnesite meet the normative requirements (3 MPa).