bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Internet of Things
Authors: Suriyan Kannadhasan , Nagarajan R.
Published: February 2024

The internet of things (IoT) has lately piqued the attention of academics and business, both of which are developing technology for the future internet. It is a collaborative and complicated subject that requires collaborative efforts from a variety of groups, including the telecommunications sector, device makers, semantic Web, informatics, and engineering, to name a few. The ability to manufacture low-cost and energy-efficient hardware for devices with communication capabilities e.g., sensors and RFID tags, the maturation of wireless sensor network technologies, and the desire to integrate the physical and cyber worlds all contribute to the IoT project. The IoT is made up of networked things and their virtual representations that may be addressed using common communication protocols.
Cloud-Based Data Analytics for Healthcare 5.0
Authors: Kavitha K. , Kumuthini C.
Published: February 2024

Healthcare 5.0 is a system capable of delivering diverse healthcare services. It achieves this through the utilization of cutting-edge technologies like cloud computing, big data analytics, internet of things (IoT), artificial intelligence (AI), and blockchain. Data analytics has set off a critical component of healthcare, empowering providers and researchers to extract valuable insights from huge amounts of healthcare data. With the advent of cloud computing, data analytics in healthcare has reached new heights, offering unprecedented opportunities for research advancements, sound decision making, and improved patient outcomes. This chapter explores the roles of data analytics and cloud computing, the key applications, analytics tools, benefits, challenges, and future prospects of cloud-based data analytics in the healthcare sector. Thus, this chapter explores the transformative impact of cloud-based data analytics in healthcare.
An Extensive Evaluation of New Federated Learning Approaches for COVID-19 Identification
Authors: Barua Ranjit , Datta Sudipto
Published: February 2024

The World Health Organization (WHO) proclaimed the coronavirus of 2019 (COVID-19) a global pandemic in March 2020. Effective testing is essential to stop the epidemic from spreading. Using various clinical symptom data, artificial intelligence and machine learning approaches can aid in COVID-19 detection. While the federated learning (FL) strategy depending on decentralized data helps safeguard data privacy, a crucial factor in the health domain, the deep learning (DL) approach requiring centralized data is exposed to a significant risk of data privacy breaches. With an emphasis on both, this chapter examines current developments in using DL and FL approaches for COVID-19 identification.
Vedic Perspective of Wellness and Wellbeing
Authors: Sathiyaseelan Anuradha , Balasundaram Sathiyaseelan , Patangia Bishal
Published: February 2024

In the absence of a comprehensive understanding of Vedic philosophy regarding health and well-being, this chapter advocates a global integration of these principles. Personalized healthcare in Ayurveda, yoga and meditation's transformative effects, and spiritual practice's significance are highlighted as key elements of the chapter. Readers are encouraged to embrace Vedic wisdom as part of their daily lives as a means of achieving a balanced and fulfilled existence. As a result, the chapter goes on to argue that integrating Vedic perspectives can be instrumental in addressing global health challenges in a way that emphasizes their relevance across cultures and time periods.
Transforming Business for a Sustainable Future Using Green Marketing
Authors: Kumari Akancha
Published: February 2024

As the world grapples with the pressing challenges of environmental degradation and climate change, the need for sustainable development has become paramount. Green marketing has emerged as a powerful tool for transforming businesses and paving the way towards a sustainable future. This chapter explores the role of green marketing in driving sustainable development by examining its impact on business practices, consumer behavior, and environmental stewardship. The study highlights the strategies and initiatives undertaken by businesses to integrate sustainability principles into their marketing efforts, including product innovation, eco-labeling, green packaging, and communication of environmental values. Through a comprehensive review of relevant literature, case studies, and industry examples, this chapter underscores the transformative potential of green marketing in driving sustainable development. It offers insights to businesses, policymakers, and marketers on how to harness the power of green marketing to create a more sustainable and prosperous future.
Designing a Holistic Syllabus
Authors: Yuksel Peri , Bailey Joan
Published: February 2024

An academic syllabus serves as a pivotal gateway for students embarking on their college journey, offering not only a roadmap for the course but also their initial introduction to the faculty member or teaching staff. The course syllabus can emerge as a cornerstone, molding students' impressions of instructor expertise, expectations, and workload. The current chapter underscores the syllabus's potential impact, transcending its conventional role as a contractual tool and/or cognitive guide. It aims to illustrate the syllabus as a mental map, rich with resources to help navigate course progression and cultivate a sense of belonging to a broader world that exists outside the confines of a (virtual) classroom, prioritizing students' mental health. Drawing on established best practices, the chapter offers insights for both novice and experienced educators, showcasing the transformational potential of syllabus design in nurturing lifelong learning for professional and personal growth.
The Potential of Content and Language Integrated Learning in Curriculum-Based Ideological and Political Education
Authors: Hu Hengzhi , Hashim Harwati , Said Nur Ehsan Mohd
Published: February 2024

The innovative curriculum-based ideological and political education (CIPE) trend in China's higher education integrates ideological and political education (IPE) into curricula to develop students' citizenship skills. Foreign language teaching (FLT) has leveraged CIPE's advancement due to its rich cultural nuances. Yet, effectively implementing IPE within FLT remains complex and demands academic attention. The authors suggest content and language integrated learning (CLIL) holds significant potential for IPE-based FLT. This potential arises from the shared attributes between CLIL and IPE-based FLT, which encompass diverse language learning facets, the acquisition of content knowledge and the cultivation of cross-cultural understanding. This chapter compares CLIL and IPE-based FLT, based on which a coherent conceptual framework is introduced and justified for implementing IPE-based FLT. However, a comprehensive agenda is needed to address a multitude of issues beyond the scope of this chapter, which is pivotal in unlocking the full potential of CIPE and ensuring its enduring viability.
A Learning Management System
Authors: Fadil Omer Abdelrahim
Published: February 2024

A learning management system (LMS) is a software application that helps manage, document, track, report, automate, and deliver educational courses, training programs, or learning and development programs. Learning management systems (LMS) are platforms to help teachers manage courses and provide a single place to interact with the course, including assignments, exams, and assessment. In this chapter, the authors talk about the learning management system in terms of its history, its definition from a precise scientific perspective, its importance in the field of education, the features that characterize it, as well as the benefits of using learning management systems. that can be used to facilitate the learning process. Moreover, they discuss the extent of its role in education, the use of LMS to enhance the online learning environment, and many issues related to the learning management system for education and students.
LMS Moodle in the University Context
Authors: Mehdi Kaddouri , Chniet Ilham , Mimoun El Khir Abdessamad
Published: February 2024

The growing integration of digital tools has profoundly changed educational dynamics, making platforms like Moodle essential elements in both physical and virtual learning spaces. This chapter explores the opportunities for appropriation of Moodle by trainers, learners, and administrators, highlighting its versatile role in meeting the varied needs of users. It also examines adoption challenges, including pedagogical mismatches between traditional models and platform use, highlighting the importance of considering organizational change and in-depth learner monitoring to foster educational innovation.
Augmented and Virtual Reality for Mathematics Education
Authors: Mouali Sara , Sefian Mohammed Lamarti , Bakkali Imane
Published: February 2024

Augmented reality (AR) and virtual reality (VR) have emerged as groundbreaking technologies across various domains, notably in the realm of mathematics education, providing learners with novel opportunities for immersive, interactive, and easily comprehensible learning experiences. This narrative review delves into the potential applications of AR and VR technologies in mathematics education, examining numerous recent studies incorporating AR and VR-based applications to enhance mathematical learning. The objective is to elevate learners' levels and skills, transitioning from traditional teaching methods to a more advanced and effective educational approach. The authors underscore the challenges and prospects presented by these immersive tools, emphasizing the imperative of conducting in-depth research to assess their impact on mathematics education in Morocco.
Development and Validation of the Perception of Interdisciplinary Research Collaboration (PIRC) Scale
Authors: Owan Valentine Joseph , Abang Kingsley Bekom , Beshel Cecilia Akpana , Undie Roseline Anyiopi
Published: February 2024

The perception of interdisciplinary research collaboration (PIRC) scale is a meticulously developed and validated tool comprising 64 items, crafted through concept analysis, content validity procedures, and expert panel refinement. Pilot testing involved 1,932 academic staff members from six universities in South-South Nigeria, revealing six dimensions: “challenges of IDR collaboration,” “IDR collaborative experiences,” “motivations for IDR collaboration,” “benefits of IDR collaboration,” “career impact of IDR collaboration,” and “IDR team dynamics.” Confirmatory factor analysis confirmed this structure, establishing strong convergent and discriminant validity. Reliability analysis indicated high internal consistency, making the PIRC scale a precise instrument for assessing interdisciplinary research collaboration. Its use enables stakeholders to understand researchers' perceptions, enhance collaboration, allocate resources efficiently, and foster innovation.
ChatGPT Is Powerful, but Does It Have Power Distance?
Authors: Schenck Andrew
Published: February 2024

Power distance (PD), a cultural value denoting acceptance of asymmetrical power relationships, influences the force of rhetoric used by a writer to address their reader. However, AI technologies such as ChatGPT lack an explicit awareness of PD, which could affect the quality of AI-generated persuasive texts used for language learning. To investigate this issue, 200 persuasive essays written by ChatGPT were compared to 200 essays written by L1-English university learners. Three elements of formulaic language related to PD were examined: stances, modals, and pronoun deixis. Differences in stances (z = -3.411; p = .001) and modals (z = -2.100; p = .036) were both significant according to the Wilcoxon signed ranks formula, whereas differences in pronoun deixis were nearly significant (z = -1.917; p = .055). Overall, language of ChatGPT appears generic and incomplete, suggesting that consistent and uniform expressions are being borrowed from an LLM training corpus to mimic aspects of PD. Limitations of AI highlight a need for pedagogical emphasis of culturally imbued discourse.
Online Review Influence on the Retail Industry
Authors: Misra Pooja , Dutta Swarnava , Bhatta Debajit Kumar
Published: February 2024

The research undertaken investigates the effect of online reviews on purchase emotions of young consumers with reference to National Capital Region of India. Quantitative aspects of online reviews, like reviewer quality, reviewer exposure, product attributes, and temporal effects have been considered. Based on literature review, the S-O-R model has been further built on and constructs of A.I.S.A.S. model, i.e., attention and trust, action and share have been incorporated to evaluate buying pattern and behaviour they follow related to online review. Interestingly, when consumers read online reviews, they concentrate not only on review scores but also refer to other textual information like a reviewer's trust and the content associated with it such as various pictures and videos. It is also seen that the market responds more favourably to reviews written by reviewers with better reputations and better exposure, i.e., the influencers. The study also aims to explore the strength of the relationship between the identified independent constructs of online reviews and buying behaviour of an individual.
Construction and Improvement of a Vocational Education and Teaching System Oriented to “Internet+”
Authors: Zhang Yan
Published: February 2024

Given the current rapid development of informatization, people will increasingly use online teaching methods to learn for their quality improvement. Starting from the fundamental theories, such as the concept, classification, basic process, task, and method of data mining under the background of Internet Plus, this article analyzes the problems that must be considered in data mining application. Secondly, the Apriori algorithm is studied, the FP-Tree flow chart is established, and the Internet Plus vocational education teaching system model is constructed using multiple databases as data sources. Finally, the results of the teaching system are analyzed and verified, with the model analysis showing that the minimum confidence boost of the system is 0.65, and the minimum support reaches 0.03. The maintainability of the database based on the association rules Apriori algorithm is good; the data entry can be completed smoothly, and the update, deletion, and modification can also be completed smoothly.
Web Semantic-Based Robust Graph Contrastive Learning for Recommendation via Invariant Learning
Authors: Dai Wengui , Wang Yujun
Published: February 2024

The use of contrastive learning (CL) in recommendation has advanced significantly. Recently, some works use perturbations in the embedding space to obtain enhanced views of nodes. This makes the representation distribution of nodes more even and then improve recommendation effectiveness. In this article, the authors provide an explanation on the role of added noises in the embedding space from the perspective of invariant learning and feature selection. Guided by this thinking, the authors devise a more reasonable method for generating random noises and put forward web semantic based robust graph contrastive learning for recommendation via invariant learning, a novel graph CL-based recommendation model, named RobustGCL. RobustGCL, randomly zeros the values of certain dimensions in the noise vectors at a fixed ratio. In this way, RobustGCL can identify invariant and variant features and then learn invariant and variant representations. Tests on publicly available datasets show that our proposed approach can learn invariant representations and achieve better performance.
Improvement Method of College Students' Physical Training Decision-Making Based on Fuzzy Analytic Hierarchy Process
Authors: Tan Jinsong , Hoang Anh Tuan
Published: February 2024

The training of physical education and training students is an important part of the education of physical education students in my country. The talents trained are an important supporting force to improve the quality of physical education and sports training and to promote the scientific and effective development of national fitness. The quality level of physical education and training students has a decisive influence on improving the physical quality of the people, promoting the progress of sports science and developing the sports cause. Therefore, on the basis of analyzing the concept of quality, quality structure, and quality evaluation, this paper uses the fuzzy judgment method to judge the physical quality of college students and focuses on the difference between the physical quality after the two-year physical education class and when entering the school in order to improve the physical education class.
Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis
Authors: Radwan Ahmad , Amarneh Mohannad , Alawneh Hussam , Ashqar Huthaifa I. , AlSobeh Anas , Magableh Aws Abed Al Raheem
Published: February 2024

The prevalence of stress-related disorders has increased significantly in recent years, necessitating scalable methods to identify affected individuals. This paper proposes a novel approach utilizing large language models (LLMs), with a focus on OpenAI's generative pre-trained transformer (GPT-3) embeddings and machine learning (ML) algorithms to classify social media posts as indicative or not of stress disorders. The aim is to create a preliminary screening tool leveraging online textual data. GPT-3 embeddings transformed posts into vector representations capturing semantic meaning and linguistic nuances. Various models, including support vector machines, random forests, XGBoost, KNN, and neural networks, were trained on a dataset of >10,000 labeled social media posts. The top model, a support vector machine, achieved 83% accuracy in classifying posts displaying signs of stress.
Factors Associated with Adoption of Organic Paddy Farming in Puttalam District in the Context of Organic Food Consumption Trends
Authors: Randunu R. P. R. S. , Abeynayake N. R. , Wijesinghe A. G. K.
Published: February 2024

Amidst a significant uptick in organic product consumption driving the growth of organic agriculture, formulating policies to promote this method necessitates a thorough grasp of the factors influencing farmers' decisions to embrace organic cultivation. This study aims to investigate the determinants of farmers' choices to shift toward green agriculture. A sample of 150 rural paddy farmers was selected from Puttalam district using a multistage sampling technique, and data were collected through face-to-face interviews using a structured questionnaire. Seven key determinants have been discerned as critical contributors to this paradigm shift, such as Health Enhancement, Environmental Protection, Attitude, Economic Profitability, Knowledge of organic farming, Perceived Risk, and Government Support. In light of this, a conceptual model with seventeen hypotheses was created. Structural Equation Model (SEM) analysis was conducted using the Statistical Package for the Social Science (SPSS) and Analysis of Moment Structure (AMOS) to identify the direct, indirect, and mediating effects among the relevant variables. The estimated model revealed strong direct effects of economic profitability and perceived risk on organic farming adoption behavior, while government support had an indirect effect. Moreover, health enhancement demonstrated a significant direct effect on attitude, and knowledge emerged as a strong predictor with both significant direct and indirect effects on the dependent variable. The hypotheses concerning mediated pathways were also supported with partial and full mediators. These findings provide crucial insights for policymakers, guiding the development of appropriate policies and the implementation of sustainable organic farming practices among paddy farmers.
Impact of Economic Recession on Brand Centricity with Special Reference to the Fast-Food Industry
Authors: Hennedige Erandika , Dissanayaka Mohanlal W. , Wickremasinghe Dilkushi
Published: February 2024

The objective of this concept paper is to enumerate the diverse strategies implemented by the fast-food industry on a global scale in light of the economic downturn. Assessments and adjustments are made to the various metrics for Sri Lanka, which is now grappling with a severe economic crisis and the highest inflation rate in its recorded history. Before now, no attempt had been made to develop a generic model that a firm might adopt to assure commercial sustainability during recessions. This study provides a model or scorecard that any company can implement. In conducting research on the topic, a literature review was undertaken, measures were identified, and numerous middle and upper-level executives met and discussed in order to determine the most effective approaches a business could implement across all operations in order to contain costs and manage without closure. In conducting research on the topic, a literature review was undertaken, measures were identified, and numerous middle and upper-level executives met and discussed in order to determine the most effective approaches a business could implement across all operations in order to contain costs and manage without closure. A summary of the numerous activities requiring execution has been compiled and presented in the format of a score card, which facilitates convenient consultation. Although there was no unique model observed throughout the organization, this research found a generic model that could be implemented to increase the likelihood of successfully managing the situation during difficult periods with low or no damage.
A Rare Presentation of Probable Training-Related Chronic Myopericarditis in an Endurance Cyclist: A Case Report
Authors: Mohamad Azwan Aziz , Mohamed Nahar Azmi
Published: February 2024

We report a rare case of high-volume training-related myopericarditis. A male, 18 years old, elite road bicycle racing cyclist with high-volume training of 1,000 km per week for >7 years, presented with progressively worsening exertional breathlessness, reduced effort tolerance, and one episode of cardiac syncope. The symptoms were present prior to the coronavirus disease 2019 pandemic but made worse with the sudden increase in the volume of training after lockdown periods in preparation for competition. He exhibited multiple premature ventricular ectopic beats during his resting electrocardiogram, with a normal echocardiogram and non-elevated cardiac enzyme. The exercise stress test revealed similar multiple premature ventricular beats, warranting further investigation using cardiac magnetic resonance imaging (MRI). The findings of the cardiac MRI were suggestive of myopericarditis. He was instructed to refrain from training and initially started with a short course of colchicine. However, his symptoms deteriorated, and cardiac MRI revealed a decrease in the left ventricular ejection fraction from 59% to 50%. His treatment was escalated to a short course of tapered dose steroid, anti-failure medication and gradual, supervised, return to sports program. This case report highlights the discussion of return to play in athletes with myopericarditis.
Effect of iron overload on prevalence of common bacterial infection in thalassemia patients
Authors: Obed Fatma Abdulhamza , Omran Ali Mohammad , Jebur Khalid Sh.
Published: February 2024

BACKGROUND:

Thalassemia is the most common human monogenic disease in the world, associated with several consequences, including recurrent infections, many studies have demonstrated a high prevalence of infection among individuals with thalassemia accounting for about 10% of cases.

OBJECTIVE:

This study aimed to detect the effect of serum iron imbalance on the prevalence of infection in thalassemia patients.

MATERIALS AND METHODS:

This research was conducted in the Thalassemia Teaching Department at Al Karama Hospital, between March and October 2023. The case–control study was conducted by comparing 60 people with thalassemia with 60 other people who were not thalassemic but suffering from fever and similar symptoms. Through examining urine, sputum, blood, and skin swab samples, samples with a positive result for the bacteria were identified, their sensitivity to antibiotics was examined, and these results were compared with the control group. Escherichia coli, Klebsiella pneumoniae, and Staphylococcus aureus, three types of the most common bacteria were chosen for testing due to the limited resources.

RESULTS:

Control groups of 20 males and 30 females with a mean age of 20 ± 4.5 years compared to 60 nonthalassemia febrile patients classified into 34 males and 26 females with the same age range as control groups. It was discovered that the majority of thalassemia patients are infected with E. coli bacteria. It also depends in its infection rate on an imbalance in the level of iron in the blood, whether it is increased, as in thalassemia, or decreased in cases of iron deficiency anemia that E. coli bacteria is the type that most infects thalassemia patients.

CONCLUSION:

Common species of bacteria responsible for infection in thalassemia patients represented by E. coli, K. pneumoniae, and Staphylococcus aureus associated with serum iron level changes highlighting the need for additional research into the impact of iron imbalance on infections. The study found that imipenem and meropenem had a profound effect on the vast majority of bacterial species involved in thalassemia.
Circumventing Stragglers and Staleness in Distributed CNN using LSTM
Authors: Ravikumar Aswathy , Sriraman Harini , Lokesh Saddikuti , Sai Jitendra
Published: February 2024

INTRODUCTION: Using neural networks for these inherently distributed applications is challenging and time-consuming. There is a crucial need for a framework that supports a distributed deep neural network to yield accurate results at an accelerated time. METHODS: In the proposed framework, any experienced novice user can utilize and execute the neural network models in a distributed manner with the automated hyperparameter tuning feature. In addition, the proposed framework is provided in AWS Sage maker for scaling the distribution and achieving exascale FLOPS. We benchmarked the framework performance by applying it to a medical dataset. RESULTS: The maximum performance is achieved with a speedup of 6.59 in 5 nodes. The model encourages expert/ novice neural network users to apply neural network models in the distributed platform and get enhanced results with accelerated training time. There has been a lot of research on how to improve the training time of Convolutional Neural Networks (CNNs) using distributed models, with a particular emphasis on automating the hyperparameter tweaking process. The study shows that training times may be decreased across the board by not just manually tweaking hyperparameters, but also by using L2 regularization, a dropout layer, and ConvLSTM for automatic hyperparameter modification. CONCLUSION: The proposed method improved the training speed for model-parallel setups by 1.4% and increased the speed for parallel data by 2.206%. Data-parallel execution achieved a high accuracy of 93.3825%, whereas model-parallel execution achieved a top accuracy of 89.59%.
Detecting Fake Social Media Profiles Using the Majority Voting Approach
Authors: Patil Dharmaraj R , Pattewar Tareek M , Punjabi Vipul D , Pardeshi Shailendra M
Published: February 2024

INTRODUCTION: The rise of social media platforms has brought about a concerning surge in the creation of fraudulent user profiles, with intentions ranging from spreading false information and perpetrating fraud to engaging in cyberbullying. The detection of these deceptive profiles has emerged as a critical imperative to safeguard the trustworthiness and security of online communities.OBJECTIVES: This paper focused on the detection and identification of fake social media profiles.METHODS: This paper introduces an innovative approach for discerning and categorizing counterfeit social media profiles by leveraging the majority voting approach. The proposed methodology integrates a range of machine learning algorithms, including Decision Trees, XGBoost, Random Forest, Extra Trees, Logistic Regression, AdaBoost and K-Nearest Neighbors each tailored to capture distinct facets of user behavior and profile attributes. This amalgamation of diverse methods results in an ensemble of classifiers, which are subsequently subjected to a majority voting mechanism to render a conclusive judgment regarding the legitimacy of a given social media profile.RESULTS: We conducted thorough experiments using a dataset containing both legitimate and fake social media profiles to determine the efficiency of our methodology. Our findings substantiate that the Majority Voting Technique surpasses individual classifiers, attaining an accuracy rate of 99.12%, a precision rate of 99.12%, a recall rate of 99.12%, and an F1-score of 99.12%.CONCLUSION: The results show that the majority vote method is reliable for detecting and recognising fake social media profiles.
Bredon motivic cohomology of the complex numbers
Authors: Heller Jeremiah , Voineagu Mircea , Østvær Paul Arne
Published: February 2024

Over the complex numbers, we compute the

C_{2}

-equivariant Bredon motivic cohomology ring with

\Z/2

coefficients. By rigidity, this extends Suslin’s calculation of the motivic cohomology ring of algebraically closed fields of characteristic zero to the

C_{2}

-equivariant motivic setting.
Relativistic stable operators with critical potentials
Authors: Jakubowski Tomasz , Kaleta Kamil , Szczypkowski Karol
Published: February 2024

We give local in time sharp two sided estimates of the heat kernel associated with the relativistic stable operator perturbed by a critical (Hardy) potential.
Traffic distributions and independence II: Universal constructions for traffic spaces
Authors: Cébron Guillaume , Dahlqvist Antoine , Male Camille
Published: February 2024

We investigate questions related to the notion of
traffics
introduced by the third author as a non-commutative probability space with additional operations and equipped with the notion of
traffic independence
. We prove that any sequence of unitarily invariant random matrices, that converges in non-commutative distribution, converges as well in traffic distribution whenever it fulfils some factorization property and we provide an explicit description of the limit. We also improve the theory of traffic spaces by considering a positivity axiom related to the notion of
state
in non-commutative probability. We construct the free product of traffic spaces and prove that it preserves the positivity condition. This analysis leads to our main result stating that every non-commutative probability space endowed with a tracial state can be enlarged and equipped with a structure of traffic space.
Asymptotic growth patterns for class field towers
Authors: Bhattacharyya Arindam , Kadiri Vishnu , Ray Anwesh
Published: February 2024

Let

p

be an odd prime number. We study growth patterns associated with finitely ramified Galois groups considered over the various number fields varying in a

\mathbb{Z}_{p}

-tower. These Galois groups can be considered as non-commutative analogues of ray class groups. For certain

\mathbb{Z}_{p}

-extensions in which a given prime above

p

is completely split, we prove precise asymptotic lower bounds. Our investigations are motivated by the classical results of Iwasawa, who showed that there are growth patterns for

p

-primary class numbers of the number fields in a

\mathbb{Z}_{p}

-tower.
Plating, Silver for High Temperature Applications
Authors:   AMS B Finishes Processes and Fluids Committee
Published: February 2024

This specification covers requirements for silver deposited on metal parts with a nickel strike between the basis metal and the silver deposit.
Insert, Screw Thread, Self-Locking, UNS S66286, Key Locked, Plastic Self Locking Device, Solid Film Lubricant Procurement Specification For
Authors:   E-25 General Standards for Aerospace and Propulsion Systems
Published: February 2024

This procurement specification covers inserts made from A286 alloy of the type identified under the Unified Numbering System as UNS S66286, solid film lubricated with a piastic self locking device, integrated locking keys to positively secure the insert against rotation when properly installed in threaded holes.
Comparative analysis of food waste laws in Singapore and Japan: an examination of legal frameworks in hope of achieving Singapore’s zero-waste vision
Authors: Ling Wendy Wong Shih
Published: February 2024

This article compares food waste laws in Singapore and Japan and analyses similarities and differences in their legal approaches to minimizing food waste across the food supply chain. The research undertaken demonstrates that although there is broad alignment in many aspects of the two countries’ food waste recycling laws, the specific requirements differ significantly due to each country’s unique circumstances. This has given rise to implementation issues that hamper large-scale food waste recycling in Singapore. These issues encompass, inter alia, the law’s limited applicability to food-related establishments and the lack of clarity regarding acceptable output from food waste treatment processes. Moreover, Singapore does not have a separate law targeted at avoiding food loss, a potentially more effective approach that is aligned with the food waste hierarchy. However, Japan’s experience demonstrates that, even with a law in place, success in food waste prevention typically relies on voluntary efforts and strong public engagement. Based on these findings, the article concludes that Singapore’s existing food waste law can contribute to a certain extent the achievement of its ‘zero-waste’ vision.
Comparative Analysis of Methods to Estimate Geodetic Strain Rates from GNSS Data in Italy
Authors: Nucci Riccardo , Serpelloni Enrico , Faenza Licia , Garcia Alexander , Belardinelli Maria Elina
Published: February 2024

Our ability to estimate surface deformation rates in the Central Mediterranean has considerably enhanced in the last decade thanks to the growth of continuous Global Navigation Satellite System (GNSS) networks. Focusing on the Apennine/Alpine seismogenic belt, this area offers the opportunity to test the use of geodetic strain rates for constraining active tectonic processes and for seismic hazard assessments. Given the importance of geodetic strain rate models in modern hazard estimation approaches, however, one has to consider that different approaches can provide significantly different strain rate maps. Despite the increasing availability of GNSS velocity data, in fact, strain rate models can significantly differ, because of the spatial heterogeneity of GNSS stations locations and inherent strategies in computing strain rates. Using a dense GNSS velocity dataset, this study examines three methods for estimating horizontal strain rates, described in the recent literature and selected to represent approaches of increasing mathematical complexity. Advantages, drawbacks and optimal settings of each method are discussed. The main result is an ensemble of strain rate models that enable the evaluation of epistemic uncertainties in seismicity rates models constrained by geodetic velocities.
Visibility of Entry-Level Doctor of Physical Therapy Program's Mission, Vision, and Value Statement and Alignment with Professional Values
Authors: Vraa Matthew , Crew-Noble Coral , Frausto Orquidia , Kerimova Rada
Published: February 2024

Introduction: This study aimed to assess the accessibility and alignment of core statements (mission, vision, and values) in entry-level Doctor of Physical Therapy (DPT) programs across the United States with the core beliefs of the American Physical Therapy Association (APTA). Methods: Two independent reviewers searched publicly available resources for the core statements of 271 Commission on Accreditation in Physical Therapy Education accredited DPT programs. The statements were cross-referenced against APTA Standards of Practice and Core Values. Descriptive statistical analysis assessed the public availability of program statements and their alignment with APTA core beliefs. Results: Among the programs, 95.6% had mission statements, 63.5% had assessable vision statements, and 58.7% had easily assessable value statements. The most common APTA core beliefs were Education, Excellence, Responsibility, and Evidence-Based Practice. Altruism, Advocacy, Duty, and Patient and Client Management were less prevalent. Discussion: The visibility and accessibility of core statements in DPT programs across the United States are low. Given their role in program accreditation, promoting transparency is crucial. Limited visibility hindered the concluding alignment of core statements and APTA core beliefs. Nonetheless, this information can motivate schools to enhance core statements for better alignment. Our study emphasizes the need for increased transparency of core statements in DPT programs, fostering informed decision making. Addressing these issues can facilitate better alignment with APTA principles in physical therapy education and practice.
Communicative Behavior of Mass Culture Icon Villain and the Influence on Destructive Behavior in Youth. Joker’s Case
Authors: Osipov Daniil V.
Published: February 2024

This article examines the potential influence of iconic characters—villains of mass culture—on destructive and aggressive youth behavior. The cultivation of certain societal groups and individual media characters can lead to the normalization of hostility and violence. This study analyzes the communication styles, intelligence, motives, aggression levels, and violent actions of famous villains from films, television, and literature. Particular attention is paid to the Joker’s communicative behavior, dialogues, and language, examining how he psychologically manipulates others and conveys his destructive views through unconventional techniques. Using textual examples from comic books and films, it analyzes how the Joker’s language choices and performative style reflect his background and moral-anarchic worldview. His rhetoric provokes violent reactions from allies and enemies alike, highlighting his ability to destabilize situations. The presented portrait reveals a multi-layered understanding of this legendary creation in different epochs and contexts. The findings indicate certain villain traits that could potentially encourage impressionable youth to engage in harmful behavior. Overall, provocative fiction has a double-edged significance as it can both shape and mislead developing minds. Recommendations are made to reduce the negative effects of glamorizing villains in entertainment media.
Social Media and Higher Education: A Linguistic Analysis of Identity Construction of Pakistani Universities
Authors: Aazam Fareeha , Ang Pei Soo , Isa Noor Aqsa Nabila Mat
Published: February 2024

This study rigorously explores the linguistic strategies employed by Pakistani universities for identity construction on social media platforms, focusing primarily on X (formerly known as Twitter). Utilizing a robust methodology of corpus-assisted discourse analysis, we scrutinized a substantial dataset comprising 2861 tweets. These were collected from the official X accounts of two leading Pakistani universities, National University of Sciences and Technology (NUST) and Lahore University of Management Sciences (LUMS), during the academic year 2021/2022. Our in-depth analysis uncovered distinctive linguistic patterns, particularly in the use of pronouns and specific multi-word key terms that each university employs to construct its identity. Intriguingly, the linguistic choices made by these institutions were found to significantly shape their digital identities, reflecting both individuality and broader cultural themes. The study augments existing research in the field by offering novel and context-specific insights into the dynamics of identity construction via social media. It underscores the pivotal role language plays in the organizational branding landscape. Furthermore, the findings from this research serve as a valuable resource for informing and refining communication strategies, not only for educational institutions but also for organizations at large that aim to construct and effectively manage their digital identities on social media platforms.
“We did not Send You There”: Media Representations of the War in Afghanistan and the Emergence and Practice of Cancel Culture in Post-Soviet Russia
Authors: Anikin Daniil A. , Batishchev Roman Yu.
Published: February 2024

The article is devoted to the problem of transformation of historical memory in the context of digitalization. The aim of the article is to make a critical analysis of the “cancel culture” as one of the tools for the formation and transmission of historical identity in digital space and beyond. The new media space from where the phenomenon of cancel culture originated is chosen as the research field. The objective of the article is then to bring the conceptual subjects of memory studies and media theory closer together.

New media differ significantly from traditional media, and these differences determine the change in discursive rules and consequently imply a reorganization of the discursive space.  The vertical paternalistic structure of discourse gives way to a horizontal rhizomatic structure, while the rigid author-reader opposition breaks down. The change in discursive rules entails a change of discursive practices. The changes affect not only discursive but also social space, including the space of historical memory. The digitalization of the past entails new forms of memory existence. At the same time, some traditional functions, such as identity formation, are preserved.

New media becomes a platform for identity formation, providing opportunities for the construction and constant reassembly of identities. The article considers “cancel culture” as a marker of this reassembly. It is viewed both as a mode of manifestation and as a source of identity. The critical analysis highlights both the negative and positive characteristics of the phenomenon, explaining its paradoxicality and regularity in the new reality.
Forms of Historical Oblivion and Figures of Silence in Commemorative Practices of the Black Lives Matter Movement: A Comparative Analysis of Media Discourses in English-Speaking Countries
Authors: Linchenko Andrei A.
Published: February 2024

The Black Lives Matter (BLM) social movement has emerged as a prominent challenge to the principles and values of contemporary societies. Concurrently, the practices of cancel culture extend to the historical past as well. The primary objective of this article is to conduct a comparative analysis of forms of historical forgetting and figures of silence within the commemorative practices of BLM, as depicted in media discourses across the English-speaking countries. Making use of the critical discourse analysis methodology of N. Fairclough and S. Jäger, this study analyzes the discursive aspects of monument cancellations and key figures of silence in the media portrayal of BLM commemorative practices in the USA, Canada, the UK, and Australia.

The research reveals that, despite the unique characteristics of media discourses in Australia and Canada, particularly concerning the memory of indigenous peoples, the canceling practices in the countries examined exhibit similar features. These include general forms of oblivion associated with the formation of a new identity, as outlined by P. Connerton, and the use of forgetting as a weapon, as described by A. Assmann, in the quest for symbolic capital. This study identifies and examines key figures of silence within BLM as a community of memory, including a-historical perspective of colonial era events, disproportionate focus on selected cancellation facts, invocation of collective guilt, silence over morally questionable traits of the oppressed, absence of a constructive program linking past and future, and unchecked emotional expression regarding the past.
Migrant Entrepreneurship: Turning Challenges into Opportunities
Authors: Falcão Roberto P. Q. , Silva-Rêgo Bernardo , Cruz Eduardo P.
Published: February 2024

How might migrant entrepreneurs may use liabilities of foreignness and outsidership as a marketing strategy? Migrant entrepreneurs are embedded in a strong sociocultural environment, which influences both their market orientation decisions and marketing strategies. We draw from a marketing perspective to discuss how to generate successful strategies as a migrant entrepreneur. These entrepreneurs might choose between targeting their ethnic communities or attracting local customers from outside their ethnic enclaves, supplying either ethnic or general undifferentiated products and services. In this light, this article exploits these options to suggest actions that these entrepreneurs might use to design their marketing strategies.
Aging and Shrinking Populations in CEE Countries: Implications for Practitioners and Policymakers
Authors: Chand Masud
Published: February 2024

The global “grand challenge” of aging is especially noticeable in Central and Eastern European (CEE) countries that have some of the world’s fastest aging populations. All CEE countries are aging rapidly and projected to lose significant amounts of their working age populations within the next generation. We analyze how aging populations affect organizations in the region. We generate insights for practitioners and policymakers as to how they can best manage in this aging environment, including focusing on workplace productivity, building more inclusive and family-friendly workplaces, leveraging the diaspora, and comprehensive social safety net reform.
A importância da atividade física para a saúde da pessoa idosa
Authors: Costa Maria Lucenira , De Andrade Severina Alves , Barbosa Gláucia Nelly Egídio Andrade , Viana Ruth Rany Pereira , Lins Suzanna Cavalcante
Published: February 2024

Depreende-se que o processo do envelhecimento do homem é natural, próprio do desenvolvimento humano, assim, o aludido trabalhado apresenta uma discussão a partir de uma abordagem bibliográfica acerca da atividade física para a pessoa idosa, destacando referenciais teóricos como: PASCOAL et al (2006), PEREIRA et al (2206), PICCOLO (2011) e VIEIRA (2004). Neste sentido, o objetivo do referido estudo é evidenciar a importância da prática de atividade física, enquanto mecanismo relevante para a manutenção da saúde e da longevidade, haja vista que contribui para a prevenção e redução de doenças, assim como influencia diretamente na diminuição de doenças que afetam este grupo etário. Além da prevenção de doenças, a atividade física na terceira idade ajuda também a melhorar a qualidade de vida das pessoas, bem como favorece a construção de socialização entre as pessoas, para uma melhor disposição e bom humor, no geral, oportuniza melhores condições de saúde, proporcionado mais longevidade com mais qualidade de vida. Ademais, a atividade física é fundamental para a manutenção e melhoria da disposição, da capacidade funcional e do estado biopsicossocial impedindo e/ou retardando o aparecimento de doenças crônicas e evitando diversas alterações provenientes do envelhecimento humano. É relevante ressaltar que a atividade física é sinônimo de saúde e qualidade de vida, e, portanto, é de extrema importância, principalmente, na terceira idade, pois além dos benefícios para o corpo e para a alma, propicia relações sociais saudáveis, fatores indissociáveis que impactam diretamente na qualidade de vida das pessoas idosas.