bluuebunny/crossref_metadata_2025 huggingface dataset:
A Future Look at Artificial Intelligence in the World of Tourism
Authors: Saba Farheen N. S. , Badiger Chethan S. , Kishore Lalith , Dheeraj V. , Rajendran Sindhu R.
Published: May 2024

In the realm of travel, a silent revolution is unfolding, driven by artificial intelligence (AI). Tailored experiences powered by AI are tangible, with data analytics crafting bespoke itineraries and recommendations fueled by natural language processing and simplifying planning and navigation. AI optimizes transportation, refining traffic control and route planning for convenience. Augmented reality adds immersive layers to traveler experiences. AI plays a pivotal role in sustainability, regulating visitor flows and energy usage. Real-time data analysis aids crisis management, ensuring safety and industry resilience. AI systems, standalone or integrated, encompass recommendation engines, personalization algorithms, conversational interfaces, predictive tools, language translation software, and intelligent destination mapping. Smart destinations integrate these technologies with social and organizational elements. AI empowers travelers with personalized options and enables companies to tailor experiences.
Bridging the Digital Divide
Authors: Gaafar Hebat Allah Ali , Al-Romeedy Bassam Samir
Published: May 2024

In an age marked by an abundance of information, the tourism industry grapples with the task of effectively reaching and engaging potential visitors. This study explores the transformative potential of big data analytics (BDA) in reshaping strategies for marketing touristic destinations, emphasizing a more personalized and efficient approach. It thoroughly examines BDA's pivotal role in revolutionizing destination promotion in the digital era, highlighting the importance of data-driven decision-making for impactful campaigns. The chapter also addresses challenges and ethical considerations associated with utilizing extensive data for tourism promotion. This contribution is significant for industry practitioners, policymakers, and researchers interested in leveraging BDA for sustainable and impactful tourism growth.
From Insight to Advantage
Authors: Al-Romeedy Bassam Samir , Hashem Tareq
Published: May 2024

In today's dynamic and competitive business environment, marketing intelligence systems (MIS) are vital tools that empower organizations to understand the market, monitor competitors, identify trends, evaluate performance, and make informed decisions, ultimately contributing to effective marketing strategies, enhanced customer experiences, and sustainable business growth. This chapter discusses the impact of MIS in the tourism industry. It explains how the integration of data and advanced technologies allows these systems to provide insights that can sharpen a tourism organization's competitive edge. The chapter outlines the key components of MIS—data collection, analysis, and decision support—and their role in driving strategic marketing decisions. It also examines how these systems enhance customer segmentation, campaign personalization, pricing, and customer relations, with real-world examples underscoring their efficacy. Challenges of implementation are acknowledged, with the chapter concluding on the need for ongoing innovation and future research in this area.
AI and IoT Integration for Natural Disaster Management
Authors: Ouaissa Mariyam , Ouaissa Mariya , El Himer Sarah , Boulouard Zakaria
Published: May 2024

Natural and man-made disasters have become more frequent than ever and the need for disaster preparedness has increased over the years. New technologies, such as artificial intelligence (AI) and the internet of things (IoT), have the potential to revolutionize the field of disaster risk prevention, reduction, and response. This chapter explores the potential of artificial intelligence and IoT technologies for disaster relief operations. Potential applications of these technologies in disaster response are discussed; they include the use of IoT to detect early warning signs of natural disasters, alerting populations of risks and facilitate communication between emergency responders, as well as use of AI-based systems to provide data in real time to rescue workers. The authors discuss future directions and research directions for AI and IoT-based disaster management, as well as present case studies in the context of wildfire and flooding. Finally, we conclude by highlighting the need to advance AI and IoT-based technologies for their use in disaster management.
Artificial Intelligence Models to Prevent Forest Fires
Authors: Shafik Wasswa
Published: May 2024

The main goal is to appropriately utilize advanced algorithms to analyze environmental data, improve early disease detection and intervention tactics, and reduce the harmful effects of forest fires on human beings. Analyze the challenges faced by traditional methods in addressing the constantly evolving nature of wildfires and the need for more adaptable and proactive approaches, and highlight the advantages of AI. Discusses the main constituents incorporated into the AI model, comprising meteorological data, satellite imagery, and historical fire records. It analyzes the selection of AI algorithms specifically tailored for forest fire prevention, considering parameters. Analyze the challenges faced during the creation and implementation of AI models for forest fire prevention and viability of integrating artificial intelligence models into existing fire management infrastructure and emergency response systems. It showcases the current research, progress, and use of AI-driven solutions to address the challenges posed by wildfires and provides a concise overview of the chapter's findings.
Explicit Monitoring and Prediction of Hailstorms With XGBoost Classifier for Sustainability
Authors: Abhinaya Peryala , Reddy C. Kishor Kumar , Ranjan Abhishek , Ozer Ozen
Published: May 2024

Hailstorms are extremely dangerous for both people and property, hence precise forecasting techniques are required. To increase hailstorm forecast accuracy, this study suggests utilizing the XGBoost algorithm. The gradient boosting technique XGBoost is well-known for its effectiveness at managing intricate datasets and nonlinear relationships. The suggested approach improves prediction abilities by incorporating many meteorological factors and historical hailstorm data. The model outperforms conventional approaches through thorough evaluation utilizing cross-validation techniques. XGBoost, or extreme gradient boosting, is an excellent technique for hailstorm prediction because of its scalability, robustness, and proficiency with complicated datasets. By using the XGBoost algorithm, there is a chance to increase the accuracy of hailstorm predictions and decrease the socio-economic effects of these occurrences. To increase forecasting accuracy and mitigation tactics, this work demonstrates advances in hailstorm prediction using numerical weather models and machine learning approaches.
E-Healthcare Data Warehouse Design and Data Mining Using ML Approach
Authors: Matthew Ugochukwu Okwudili , Onumaku Victory Chibuike , Fatai Lateef Olawale , Adekunle Temitope Samson , Waliu Ajibola Olaosebikan , Ndukwu Charles Chukwuebuka , Oladipupo Matthew Abiola , Nwanakwaugwu Andrew Chinonso , Ebong Godwin Nse
Published: May 2024

This paper conducted a thorough analysis of 5G-enabled smart electronic healthcare (e-healthcare) solutions for the Internet of Things (IoT) cloud data warehouse system design, highlighting the need for medical smart devices IoT connectivity solutions the current digital society must address. The study highlighted requirements for the effective implementation of smart e-healthcare systems for particular 5G scenarios. The study found that bimodal sensor access using an artificial neural network (ANN) computer algorithm can be used to execute data mining techniques and their applications in smart e-healthcare services for risk management, fraud detection, security and identity authentication can be realized. In order to meet the demand for user-oriented medical services reform, the bimodal sensor electronic health (e-health) data mining system is required to enhance the phenomenon for information management between healthcare consultants and patients. The creation of an e-health data warehouse will make it possible for future medical smart devices to communicate with one another and to aggregate records from various heterogeneous database sources in order to meet the diversity requirements of medical and e-health management, which will hasten and reinforce the advancement of health information technology in the medical field and healthcare organizations. In the current study, distributed cloud IoT data warehouse server systems were created and connected through 5G radio frequency access network (RAN) to enable healthcare grid data warehouse information technology(IT) infrastructure synchronization, resource allocation and service-level conformity. The integration of a cloud-based IoT data warehousing platform was intended to facilitate global device connectivity management for e-healthcare administration, advancing innovative approaches to the creation and sharing of healthcare and medical data mining intelligence.
The Emerging Role of Artificial Intelligence in Organ-on-a-Chip (OOAC) Biomedical Devices
Authors: Barua Ranjit
Published: May 2024

Organ-on-a-chip technology, often referred to as OOAC, represents a revolutionary paradigm in biomedical engineering and research. It is a sophisticated microfluidic system that replicates the structure, function, and microenvironment of human organs on a miniature scale. The aim is to create a platform for studying organ-level physiology and pathology outside the human body, providing a more accurate and ethical alternative to traditional methods that often rely on animal testing. Furthermore, the ongoing progress in artificial intelligence (AI) brings additional enhancements to the design and data processing capabilities of OOACs. In this chapter, we explore the opportunities and obstacles entailed in the integration of OOACs and AI. In summary, the evolution of OOAC technology and its eventual synergy with AI have the potential to disrupt the current landscape of drug evaluation, presenting a promising path forward.
Achieving SDG Target 8.7 Adolescent Skills Training to Prevent Sexual Exploitation
Authors: Huinder Jill
Published: May 2024

This chapter examines sustainable tourism's poverty-alleviating potential and cultural tourism's socio-economic role. It discusses four prevention initiatives in Vietnam emphasizing vocational training's importance in empowering at-risk youth. Recommendations include legislative strengthening, victim-inclusive policies, and coordinated efforts to combat sexual exploitation. The chapter stresses international partnerships and calls for education-centered policymaking supported by various stakeholders.
Sustainable Technological Innovations in Festival Tourism
Authors: Shashwat Kiran , Shashwat Anil , Yadav Vikash
Published: May 2024

Uttarakhand, located in the Himalayas, is known for its colorful festivals and pure natural beauty. Uttarakhand celebrates its various traditions, spiritual practices, and natural fortunes with a plethora of festivals throughout the year. Festival tourism, an element of cultural tourism, has grown its prominence in the region by drawing the attention of both local and foreign visitors. With the growth of festival tourism, the region is attempting to harmonize traditional festivities by applying environmental fortification and sustainable tourist practices. By reviewing the technical innovations during the festivities and case studies from Uttarakhand, this study commences on an in-depth analysis of sustainable technological innovations in the context of Uttarakhand's festival tourism. This research looks into a variety of sustainable techniques, such as technological integration in the festivals, waste management measures, and community's participation in festival design and execution. It also investigates how technology might be used to enhance sustainable transformation to manage tourist flows, enhancing their safety and deliver immersive cultural experiences through various digital platforms, mobile applications, and data analytics. For the purpose of this study, a detailed assessment of literature and case studies will be done on integration of technology in Uttarakhand's festival tourism sector with a focus on how technology can be used for real-time crowd monitoring, implementing smart ticketing systems, and virtual reality experiences to improve tourist experiences. This study's findings will shed light on the potential of technology to play a critical role in promoting sustainable technological innovations in the context of festival tourism in Uttarakhand and pledging the preservation of the region's festive treasures for future generations.
Sustainable Measures Deterring Ethical and Decent Dilemmas in Tourism
Authors: Dar Hafizullah
Published: May 2024

These days, ethical dilemmas are commonly observed creating challenging issues for tourism planners and management authorities. These ethical challenges arise due to the behavior of tourism stakeholders. Addressing these ethical dilemmas requires collaborative and rational efforts from governments, communities, businesses, and tourists. Adopting responsible and sustainable tourism practices, respecting local cultures, and prioritizing environmental conservation are essential steps toward mitigating these challenges. Education campaigns can also play a key role in promoting ethical tourism practices among providers and consumers. By encouraging sustainable tourism development, these measures subsidize the long-term sustainability of tourism destinations, enrich the well-being of residents, and safeguard natural and cultural heritage for future generations. Sustainable tourism practices encourage ethical deliberations, alleviate dilemmas, and support a harmonious stability between economic richness, social well-being, and environmental stewardship in the industry.
Perceptual Operating Systems for the Trade Associations of Cyber Criminals to Scrutinize Hazardous Content
Authors: Rawat Romil , Rajavat Anand
Published: May 2024

The limits of user visibility have been exceeded by the internet. The “Dark Web” or “Dark Net” refers to certain unknown portions of the internet that cannot be found using standard search methods. A number of computerised techniques are being explored to extract or crawl the concealed data. All users can freely interact on the surface web. Identity identities may be found on the deep web, and the dark web (DW), a hub for anonymous data, is a haven for terrorists and cybercriminals to promote their ideologies and illegal activities. Officials in clandestine surveillance and cyberpolicing are always trying to track down offenders' trails or hints. The search for DW offenders might take five to ten years.The proposed study provides data from a DW mining and online marketplaces situation from a few domains, as well as an overview for investigators to build an automated engine for scraping all dangerous information from related sites.
Artificial Intelligence Technology-Driven Teacher Mental State Assessment and Improvement Method
Authors: Qin Yang
Published: May 2024

With the development of technology, people expect real-time communication with computers. Wearable devices, such as those for monitoring physiological signals, have rapidly developed and are now being applied in college and university evaluation. Due to the non-standard and unscientific practices in teaching, teachers may experience psychological obstacles when evaluating students. To ensure successful evaluation, we must motivate teachers to correctly understand and actively participate in the evaluation process, thus facilitating communication between people and computers. Emotion recognition based on multi-physiological signals, such as ECG, pulse, electromyography, electrodermal, and respiratory signals, is an effective method for achieving this. This dissertation conducts in-depth research on the methods for emotion recognition based on multi-physiological signals. It explores feature extraction methods, feature selection, and fusion to provide objective assessments of physiological and psychological activity states, which are used as a basis for accurate emotional judgments.
Application of AdaBound-Optimized XGBoost-LSTM Model for Consumer Credit Assessment in Banking Industries
Authors: Fan Lijuan , Wang Changlin , Lu Zhonghua
Published: May 2024

Consumer credit assessment has always been a crucial concern in the financial industry. It involves evaluating an individual's credit history and their ability to repay loans, playing a pivotal role in the risk management and lending decisions made by credit institutions. In the present landscape, traditional credit assessment methods confront various shortcomings. Firstly, they typically only consider static features and are unable to capture the dynamic changes in an individual's credit profile over time. Secondly, traditional methods struggle with processing complex time series data, failing to fully exploit the importance of time-related information. To address these challenges, we propose an innovative solution – the XGBoost-LSTM model optimized with the AdaBound algorithm. This hybrid model combines two powerful machine learning techniques, XGBoost and LSTM, to leverage both static and dynamic features effectively.
Deep Learning-Powered Financial Product Recommendation System in Banks
Authors: Li Tingting , Song Jingbo
Published: May 2024

With the rapid evolution of financial technology, the recommendation system for financial products, as a crucial technology to enhance user experience and reduce information search costs, is increasingly becoming the focus of the financial services sector. As market competition intensifies, the diversity of user demands, coupled with the continuous expansion of financial product types, has exposed limitations in traditional recommendation systems regarding accuracy and personalized services. Therefore, this study aims to explore the application of deep learning technology in the field of financial product recommendations, aiming to construct a more intelligent and precise financial product recommendation system. The metrics we focus on include precision, recall, and F1-score, comprehensively evaluating the effectiveness of the proposed methods. In terms of methodology, we first employ a Transformer model, leveraging its powerful self-attention mechanism to capture the complex relationships between user behavior sequences and financial product information.
Empowering the youth with national strategy: The imperative of basic life support training in combating sudden cardiac arrests
Authors: Lokunarangoda Niroshan C.
Published: May 2024

No abstract available
Modification of the incinerator to prevent the emission of toxic air pollutant in biomedical waste incineration process at Base Hospital Udugama
Authors: Fernando G. H. S. , Somarathne K. M. , Dineshi P. B. W. , Pathirana P. P. A. P. , Senevirathna A. A. S.
Published: May 2024

Background: Medical waste incinerators emit toxic air pollutants and toxic ash residues that are the major sources of dioxins and furan. However, Incineration is the best available option for treating clinical waste. The harm can be minimized by designing an incinerator according to the composition of components of the clinical waste generated at the hospital. The incinerator at Base Hospital Udugama has been emitting polluted air causing environmental pollution.Objective: To identify the cause of emitting polluted air and modify the incinerator to prevent environmental pollution.Methods: A survey was conducted on similar incinerators in other institutions to see the efficiency and working conditions and followed an audit to identify the composition of the clinical waste generated in the hospital setting. The incinerator was modified according to the composition of waste to tolerate high calorific value.Results: Survey proved that all other similar incinerators emit polluted air during the incinerating process. The audit showed the rubber and plastic composition of waste is around 50% against the recommended value of 10%. The existing machine was modified to tolerate high volumes of rubber and plastic by increasing the calorific value.Conclusion: Existing incinerator at BH. Udugama emits polluted air due to the incompatible composition of clinical waste with the machine specification. This can be prevented by modifying the incinerator by increasing the Calorific value.Recommendations: It is recommended to re-evaluate the existing incinerators and modify them up to the standard to prevent environmental harm considering 50% of rubber and plastics in clinical waste.
Engineering Pancreatic Islets to Transiently Codisplay on Their Surface Thrombomodulin and CD47 Immunomodulatory Proteins as a Means of Mitigating Instant Blood-Mediated Inflammatory Reaction following Intraportal Transplantation
Authors: Turan Ali , Tarique Mohammad , Zhang Lei , Kazmi Shadab , Ulker Vahap , Tedla Mebrahtu G , Badal Darshan , Yolcu Esma S , Shirwan Haval
Published: May 2024

Most pancreatic islets are destroyed immediately after intraportal transplantation by an instant blood-mediated inflammatory reaction (IBMIR) generated through activation of coagulation, complement, and proinflammatory pathways. Thus, effective mitigation of IBMIR may be contingent on the combined use of agents targeting these pathways for modulation. CD47 and thrombomodulin (TM) are two molecules with distinct functions in regulating coagulation and proinflammatory responses. We previously reported that the islet surface can be modified with biotin for transient display of novel forms of these two molecules chimeric with streptavidin (SA), that is, thrombomodulin chimeric with SA (SA-TM) and CD47 chimeric with SA (SA-CD47), as single agents with improved engraftment following intraportal transplantation. This study aimed to test whether islets can be coengineered with SA-TM and SA-CD47 molecules as a combinatorial approach to improve engraftment by inhibiting IBMIR. Mouse islets were effectively coengineered with both molecules without a detectable negative impact on their viability and metabolic function. Coengineered islets were refractory to destruction by IBMIR ex vivo and showed enhanced engraftment and sustained function in a marginal mass syngeneic intraportal transplantation model. Improved engraftment correlated with a reduction in intragraft innate immune infiltrates, particularly neutrophils and M1 macrophages. Moreover, transcripts for various intragraft procoagulatory and proinflammatory agents, including tissue factor, HMGB1 (high-mobility group box-1), IL-1β, IL-6, TNF-α, IFN-γ, and MIP-1α, were significantly reduced in coengineered islets. These data demonstrate that the transient codisplay of SA-TM and SA-CD47 proteins on the islet surface is a facile and effective platform to modulate procoagulatory and inflammatory responses with implications for both autologous and allogeneic islet transplantation.
Novel emerging therapy for erectile dysfunction: efficacy and safety of flat magnetic stimulation
Authors: Galimberti Daniel , Vila Echague Agustina , Ko Ery A. , Pieri Laura , Comito Alessandra , Fusco Irene , Zingoni Tiziano
Published: May 2024

Background: The erectile dysfunction (ED), which is the inability to achieve and/or sustain a penile erection sufficient to result in a satisfying sexual performance, represents a very common complaint. for men over forty years old. The aim of the study was to evaluate if Flat Magnetic Stimulation (FMS) technology could help individuals with symptomatic erectile dysfunction.
Methods: Twenty patients with erectile dysfunction, underwent eight sessions of about 30 minutes each in a twice a week frequency with the study device. During treatments, every potential side effect was assessed. The International Index of Erectile Function (IIEF) was compiled by all patients at the beginning, after the eighth treatment and at 1 month from the end of the last treatment. The questionnaire scores were presented as median values along with the interquartile range (IQR) and we set the significance threshold at 0.01.
Results: After the treatment and at 1-month follow-up, the increase in questionnaire scores was statistically significant compared to the baseline, thus supporting the clinical usefulness of this treatment. In particular, the result of the study indicates a statistically significant difference between IIEF score before treatment (Median = 34) and IIEF score after the end of treatment (Median = 45) and between IIEF score before treatment and IIEF score at 1-month follow-up (Median = 54).
Conclusions: The study findings showed that FMS represents a promising treatment option to individuals affected by symptomatic erectile dysfunction.
Lung adenocarcinoma - a diagnostic challenge
Authors: Sivaselvi Chellamuthu , Moorthy Akshaya , Dwivedi Dharm Praksh , Badhe Bhavana Ashok
Published: May 2024

Cavitary lung nodules are produced by a variety of diseases ranging from benign to malignant disease. According to the Fleischner Society, the pulmonary cavity is characterized by a gas-filled space, seen as a lucency or low-attenuation area, within pulmonary consolidation, a mass, or a nodule. Though the number and thickness of the wall of the cavity may help to differentiate causes, arriving at a diagnosis is challenging. Even though radiological findings will help to differentiate benign from malignant etiology, histopathology is needed for confirmation of diagnosis. Here, we describe a metastatic lung adenocarcinoma case presenting as multiple cavitary nodules.
Transesophageal Bronchoscopic Ultrasound-guided Cryobiopsy (EUS-B-Cryo) for mediastinal lesions in critical airway obstruction: a case series with a systematic review
Authors: Mohan Sanchit , Mahendran A. J. , Kumar Rohit , Madan Manu , Ish Pranav , Kaushik Rajnish , Gupta Nitesh
Published: May 2024

Tissue diagnosis of mass lesions in the mediastinum poses a challenge, particularly when the mass is not in direct contact with the chest wall, rendering techniques such as Ultrasonography (USG) or Computed Tomography (CT) guided biopsies ineffective. In cases of Critical Airway Obstruction (CAO), utilizing routine endobronchial ultrasound-guided biopsies can lead to complications, including respiratory failure. As an alternative technique, Transesophageal Bronchoscopic Ultrasound-Guided Fine Needle Aspiration (EUS-FNA) is utilized. However, when smears yield inconclusive results for histopathological diagnosis, mediastinoscopy remains the preferred modality. We present two cases of CAO where Transesophageal Bronchoscopic Ultrasound (EUS-B)-guided cryobiopsy was performed, eliminating the necessity for mediastinoscopy. Histopathological examination of the cryobiopsy samples revealed squamous cell carcinoma and small cell carcinoma. A detailed systematic review only revealed two similar studies in the past. Thus, EUS-B-guided cryobiopsy emerges as a novel technique with the potential to diagnose lesions located in the concealed regions of the mediastinum.
Peculiar Pattern of Irritant Contact Dermatitis to Semecarpus anacardium
Authors: Rajput Gopalsing Rameshsing , Chatterjee Manas , Sridhar Jandhyala , Hemdani Ruchi
Published: May 2024

Semecarpus anacardium (Family: Anacardiaceae), is a frequently used medicinal plant in alternative medicine. There has been few case reports suggesting the role of marking nut extract in allergic contact dermatitis. Case one presented with vesicles coalescing to form bullae with surrounding necrotic epidermis accompanied by itching and burning sensation over nape of neck. He developed recurrent urticarial episodes post treatment. Case two reported similar lesions over beard region after 2 weeks of our index case in addition to diffuse erythematous maculopapular pruritic rash over upper chest, face and anterior shoulder. Case three, four and five reported with similar kind of lesions over various body parts. Case six presented with targetoid lesion with central bullae over upper torso. Case seven reported with bizarre lesions like splattering of chemical which were morphologically similar as the other cases, over left popliteal fossa and calf area. Our cases were from the same geographic area and were in the same profession. On evaluation of the pattern and morphology of lesions and careful investigation, it was concluded that it was an irritant reaction to Semicarpus nut extract which was supported by histopathology findings. On further probing, it was observed that the individuals inflicted the injury in order to avoid some strenuous work. All were evaluated and none of them were found to be suffering from any psychiatric ailment. We reported this case series because of unique morphological presentation which has not yet been reported in the literature to the best of our knowledge.
On the well posedness and the stability of a thermoelastic Gurtin–Pipkin–Timoshenko system without the second spectrum
Authors: Messaoudi Salim A. , Keddi Ahmed
Published: May 2024

In this work, we establish the well-posedness and the asymptotic stability of a linear thermoelastic Gurtin–Pipkin–Timoshenko system free of second spectrum. We give a detailed proof of the well-posedness, using the semigroup theory and with the help of some new operators. Then, we prove that the system is exponentially stable irrespective of the parameters. Our result generalizes an earlier result, one in the paper of Keddi, Messaoudi, and Alahyane [Journal of Thermal Stresses 46 (2023), 823–838].
Удивительная целочисленность собственных значений
Authors: Kenyon Richard , Kontsevich Maxim L'vovich , Ogievetskii Oleg Viktorovich , Pohoata Cosmin , Sawin Will , Shlosman Semen Bensionovich
Published: May 2024

Каждому частично упорядоченному множеству $(X, \preccurlyeq)$ мы сопоставляем квадратную матрицу $M^{X}$, матричные элементы которой индексируются парой полных порядков на $X$, совместимых с $\preccurlyeq$. Каждый матричный элемент $(M^{X})_{PQ}$ - это формальная переменная, определяемая пьедесталом полного порядка $Q$ относительно полного порядка $P$. Мы доказываем, что все собственные значения матрицы $M^{X}$ являются $\mathbb{Z}$-линейными комбинациями этих переменных.
Эллиптический аналог предельной формы Вершика-Керова
Authors: Grekov Andrei Mikhailovich , Nekrasov Nikita Alexandrovich
Published: May 2024

В статье изучается задача о предельной форме для меры Планшереля, а также ее обобщения, возникающие при инстантонных вычислениях в суперсимметричной калибровочной теории. Рассмотрена мера, являющаяся интерполяцией между мерой Планшереля и равномерной мерой, что соответствует $U(1)$-случаю $\mathcal{N}=2^{*}$ калибровочной теории. Получена формула для ее предельной формы в терминах эллиптических функций, которая обобщает тригонометрический "закон арксинуса", изученный в работах Вершика, Керова и Логана, Шеппа.
Двойственность в задаче Канторовича с фиксированным барицентром и барицентры функционалов
Authors: Afonin Konstantin Aleksandrovich
Published: May 2024

Работа посвящена исследованию двойственности в линейной задаче Канторовича с фиксированным барицентром. Установлено, что двойственность Канторовича имеет место для общих полунепрерывных снизу функций стоимости на вполне регулярных пространствах. В ходе рассмотрения этой тематики ставится и решается вопрос о представлении непрерывного линейного функционала радоновской мерой при условии задания радоновской мерой его барицентра. Кроме того, рассматриваются две новые барицентрические оптимальные задачи; для них также доказываются результаты двойственности.
Re-inventing Chinese Philosophy through the Method of Sublation
Authors: Rošker Jana S.
Published: May 2024

In this article, I will introduce and describe my current research work, which centres on re-interpreting Chinese philosophy by implementing an innovative approach suitable for transcultural philosophical comparisons. To commence this undertaking, I was compelled to address certain issues, leading me to seek a novel methodology for transcultural research. This article will begin by briefly addressing the still existing general problems of transcultural philosophical comparisons. I will then examine the recent and current landscape of research in the field of Chinese comparative philosophy, with a specific focus on emerging paradigms referred to as “post-comparative” approaches. In the latter part of this paper, building upon a concise overview of my previous research findings, I will elucidate the current stage of development of the method of sublation. Furthermore, I will provide a theoretical framework outlining the subsequent phases of investigation.
On Philosophy as Living
Authors: Ennen Timo
Published: May 2024

This paper considers what it would mean to conceive of philosophy as living. In the first part, by way of a discussion on intercultural encounter recently taken up by Cora Diamond, I first illustrate why philosophical conflict cannot be resolved within already given modes of thought or self-contained finite philosophical traditions, but instead transcends those. In the second part, I show why this dynamic plays out not only between cultures but also between the individual and that individual’s own tradition. I do this by drawing from insights of the two major proponents of xinxue 心學 (Learning of the Heart-Mind), Lu Jiuyuan 陸九淵 and Wang Yangming 王陽明. The way xinxue deals with both orthodox and heterodox traditions illuminates how we can understand philosophy as something living. It is neither self-contained and indifferent to its own heritage or to the culturally alien, nor does it consist of the mere accumulation of diverse philosophical contents. The deepening of individuality that xinxue introduces into Chinese philosophy consists in the relation of the individual to what has already been conceived. Ultimately, by grasping this dynamic that happens through the individual, we may better grasp why philosophy is not reducible to given modes of thought nor to self-contained finite philosophical traditions, but instead is infinite.
Kultura opozycyjna. Między jurodiwymi a instytucjonalizacją
Authors: Bäcker Roman
Published: May 2024

The aim of this text is to create a conceptual apparatus (a categorial grid) that would make it possible to explain all possible manifestations of oppositional culture in autocratic regimes. I distinguish two basic understandings of oppositional culture: social and domain-specific. The first is the totality of disapproval attitudes towards an autocratic political regime. The latter includes all manifestations of artistic creativity that are critical of the existing political regime. I distinguish three basic typologies of opposition cultures in the latter sense due to the following criteria: organizational shape, place of artistic expression and levels of negation of a given regime. The first typology concerning the organizational shape allows for the differentiation of opposition culture entities due to their numbers and the strength of social bonds created while performing this social role. The second typology makes it possible to define the space of freedom for the subjects of the opposition culture, and the third one – the level of refutation of a given political system.
Historycy na łamach „Krytyki”
Authors: Siewierski Tomasz
Published: May 2024

The article discusses the main threads of interest among historians publishing in the underground journal “Krytyka” during the years 1978–1989. It highlights the most important topics in contemporary history that, due to censorship reasons, either did not exist or were distorted in the official historiography of the People’s Republic of Poland (PRL). These topics included the history of the Polish armed anti-communist underground, the crimes of the security apparatus, the history of the Polish Socialist Party, Polish-Ukrainian, and Polish-Jewish relations, as well as key issues in post-war political history, such as the events of March 1968. The article devotes considerable attention to the authors of articles that aimed to restore memory and supplement knowledge about these issues. It also attempts to reflect on their involvement in the opposition movement in the context of their previous professional and political experiences.
„Rząd rządzi – partia kieruje – naród głoduje”, czyli marsze głodowe z 1981 roku
Authors: Majchrzak Grzegorz
Published: May 2024

Despite the introduction in 1981 of a meat and processed meat ration card, the supply situation in Poland was deteriorating, with stores dreading empty shelves. It became impossible to buy even basic products. This, in turn, affected public sentiment and increased the frustration of Poles, especially women. It also led – in July of that year – to a new form of protest, the so-called hunger marches. They were a way of demonstrating discontent without stopping work, organizing strikes, which would not only not improve the situation, but could even make it worse, and would also allow the PRL authorities to hold Solidarity responsible for the dire supply situation. The loudest and largest hunger marches were organized in Lodz. In the following weeks, they were also held in many other cities. An end was put to these unusual street protests (involving mainly women, often with children) by the union›s authorities – the National Coordinating Commission, which in August 1981 appealed to refrain from organizing further marches and other protests (including strikes) and declared that it would do everything it could “to lead the country out of the crisis”.
„Potencjalne ognisko niezadowolenia w przypadku przyszłych kłopotów”. Polska opozycja w raportach brytyjskich dyplomatów z lat 1976–1980
Authors: Wołk Grzegorz
Published: May 2024

British diplomacy kept a close eye on the development of dissident movements from the Soviet sphere of influence. Despite the realisation that their influence on political life was marginal, from 1976 until the emergence of Solidarity there was a steadily growing interest in the growing number of Polish opposition groups. At some point it was decided to establish direct contacts, an operation without precedent in the other countries subordinated to the USSR. The article focuses on reconstructing the Foreign Office’s knowledge of dissident movements in the People’s Republic of Poland and their perception by the British.
Don Francesco Ricci. Duszpasterz obu Europ (1930–1991)
Authors: Gromko Bartosz
Published: May 2024

Francesco Ricci (1930–1991) was an Italian priest, canon of the cathedral of Forli, ecclesiastical assistant of the Communion and Liberation, and rector of the church of San Filippo Neri in Forli. He travelled to many countries to promote Communion and Liberation: Yugoslavia, Peru, Poland, Hungary, Japan and Korea, Uganda, Paraguay, Czechoslovakia, and Brazil. Due to his interest in Eastern Europe, which was then under communist rule, he founded the Center for the Study of Eastern Europe (CSEO) in Forlì, which was dedicated to deepening and spreading knowledge about the countries of this area in Italy. The Center published, among others: translations of works by Václav Havel, Józef Tischner, and other authors.
Development of new training programmes for Thai community pharmacists using the theory of training needs analysis
Authors: Watcharadamrongkun Suntaree , Puengrung Surangkana , Winit-Watjana Win
Published: May 2024

Background: The study aimed to develop new training programmes for community pharmacists based on the theory of training needs analysis.
Methods: Two phases were conducted. Phase 1 was the pharmacists’ needs analysis using the mixed method with an exploratory sequential design and the Hennessy-Hicks training needs analysis. Eligible pharmacists were requested to rate 44 task items on a 5-point Likert scale for task importance and perceived performance. All data were gathered and analysed using subgroup analysis and exploratory factor analysis for training needs. Phase 2 was the training programme development and verification by a focus group.
Results: A total of 365 pharmacists completed the questionnaire, with a response rate of 28.3%. The 44 primary care tasks were grouped into seven main domains based on their importance. Three tasks with wide training gaps (mean gaps > 2.0), i.e., depression screening, home visits, and family planning, were selected for the programme development. The focus group agreed on the programme’s usefulness, practicality, and ease of implementation.
Conclusion: The training needs of community pharmacists were evaluated, and three training programmes in primary care pharmacy were developed. The impacts of the training programmes merit further study.
Mapeamento de zonas sísmicas no estado de Minas Gerais - Brasil
Authors: Ferreira Maykon Fredson Freitas , Leite Manoel Reinaldo , Fernandes da Costa Luis Ricardo
Published: May 2024

A ocorrência de abalos sísmicos em Minas Gerais no decorrer do tempo vem chamando a atenção de autoridades e da população em geral. Tem despertado a atenção de pesquisadores sobre a necessidade de compreender suas causas e sobre a identificação de suas principais áreas de ocorrência, a fim de mitigar os riscos associados. Este estudo tem como objetivo mapear as zonas de atividade sísmica no estado. Utilizando a técnica de densidade de Kernel, foram identificadas cinco grandes áreas de concentração de sismos, nomeadas como Norte 1, Norte 2, Nordeste, Centro-sul e Triângulo. A partir dessas zonas principais, vinte e seis subzonas foram mapeadas para identificar os pontos focais dos sismos. Esse mapeamento detalhado permitirá em estudos futuros investigar as causas subjacentes dos eventos sísmicos, compreender a estrutura geológica das áreas e identificar regiões com maior potencial para futuros sismos. Além disso, fornecerá subsídios para medidas de prevenção e para o desenvolvimento de projetos específicos de gerenciamento de risco sísmico. Este estudo representa um passo significativo em direção a uma compreensão mais profunda da atividade sísmica em Minas Gerais, fornecendo informações cruciais para a segurança e o planejamento urbano.
Taking MIPVU Further Around the World—And Through the Ages: MIPVU for Religion-Related Texts: Challenges and Benefits
Authors: Artemov Nikita , Kueppers Elsa , Reimann Sebastian , Rodenhausen Lina , Wiemann Alexandra
Published: May 2024

MIPVU (Metaphor Identification Procedure VU Amsterdam) is a method for identifying linguistic metaphors in contemporary English, developed on the basis of newspaper and academic texts, oral conversations, and fiction. Subsequently, it has been successfully used to assess the frequency of metaphoric usage in non-English texts. Depending on the language in question and its characteristics, some of the MIPVU guidelines (especially those concerning lexical units and grammatical categories) have to be adapted to produce more reliable results. The present contribution summarizes the main steps of the procedure and reflects on its applicability to religious and religion-related texts (both historical and contemporary) analysed within the CRC 1475 “Metaphors of Religion.” The examples include texts in Biblical Hebrew, Literary Sinitic of Korean provenance, Old and Middle High German, and English online-forum posts on religious topics. The authors discuss the challenges and benefits arising from applying MIPVU to their corpora and the possible ways of adjusting the MIPVU guidelines to their research goals.
THE IMPACT OF GOVERNMENT EXPENDITURE ON GOVERNMENT DEBT FOR G20 ECONOMIES
Authors: Gupta Ashray
Published: May 2024

This paper carefully examines the effect government expenditure has on government debt using time series data for G20 economies from the past 20 years. A regression model is estimated to study the impact of government expenditure on government debt, taking into account necessary control variables. The results show that government expenditure has a significant impact on government debt. The results provide useful policy implications for the G20 economies by suggesting mechanisms by which government expenditure can be effectively leveraged to mitigate government debt.
EVOLUTION OF A NEW NORMAL IN DATING CULTURE: ANALYSING DIGITAL DEPENDENCY OF MODERN RELATIONSHIPS THROUGH DATING APPS
Authors: Mangesh Lad Shivani
Published: May 2024

This research investigates the evolution of contemporary dating culture, focusing on the influence of dating apps and their role in shaping a new normal in relationship dynamics. Employing a qualitative methodology centred on in-depth interviews, the study explores user experiences, perceptions, and the socio-cultural impact of digital dependency within modern relationships facilitated by dating apps. Through thematic analysis of interview data, the research seeks to uncover patterns of behaviour, communication dynamics, and societal norms that characterize the intersection of technology and intimate connections. The qualitative approach provides a nuanced understanding of how dating apps reshape traditional rituals and expectations, shedding light on the complexities of modern romance. The study also delves into the psychological aspects of digital dependency, examining its effects on self-esteem, trust, and emotional well-being among individuals engaged in online dating. By focusing exclusively on qualitative insights, the research aims to capture the rich narratives and diverse perspectives that emerge from in-depth interviews, offering a more profound understanding of the human experience within the digital dating landscape. In summary, this qualitative study provides an in-depth exploration of the evolving nature of dating culture in the digital age, emphasizing the role of dating apps in shaping a new normal for modern relationships. By focusing on interviews, the research offers a rich and nuanced understanding of digital dependency's impact on interpersonal connections, contributing to the ongoing discourse on the intersection of technology, human psyche and romance.
COUNTRY SPECIFIC MARKETING STRATEGY FOR MULTINATIONAL CORPORATIONS; CASE STUDY OF MCDONALDS AND COCA-COLA: AN IN-DEPTH STUDY
Authors: Johar Raghav
Published: May 2024

The paper analysed the growth of MNCs and how they became country-specific with respect to the demands and concerns as well as the religious sentiments of the country that they entered. The case study of Coca-Cola and McDonalds has indicated that they are sensitive to new issues that have risen around the world like sustainability, protecting the environment, as well as keeping the health of their consumers in mind.
Sociabilidad, organización institucional e inserción étnica. Los inicios del ping pong en Costa Rica (1933-1950)
Authors: Urbina Gaitán Chester Rodolfo
Published: May 2024

El ping pong en Costa Rica surge bajo el interés de algunas organizaciones deportivas y clubes sociales en 1933. Este deporte se concentró principalmente en el Valle Central en la capital San José y en los puertos de Limón y Puntarenas. El Estado brindó un exiguo apoyo a su promoción. Unos de los primeros locales donde se practicó el ping pong en la capital fue en el local de la Juventud Obrera Católica, lo que demuestra el interés del cura encargado de dicho establecimiento en continuar con la política del arzobispado de Monseñor Víctor Manuel Sanabria de que los jóvenes no se identificaran con el ideario del partido comunista. El ping pong permitió la inclusión étnica de la mujer de la comunidad judía y de algunos varones de la colonia china, posibilitándoles a estos sectores ser más visibilizados en la esfera pública. La metodología empleada para realizar este registro histórico etnográfico como investigación cualitativa se sustenta en la revisión de la prensa comercial donde se reúne la información pertinente e imágenes que ilustren lo narrado. El objetivo de este artículo es describir los inicios del ping pong en Costa Rica, su promoción privada y la posición estatal en torno a su fomento desde el primer intento de creación de un campeonato nacional de ping pong en el país en 1933 hasta la fundación de la Liga Nacional de Ping Pong en 1950.