bluuebunny/crossref_metadata_2025 huggingface dataset:
Par-delà l’énigme des publics : articuler les approches interprétativiste et praxéologique
Authors: Cervulle Maxime
Published: February 2024

Deux paradigmes des publics traversent les recherches en communication : d’un côté, le paradigme interprétativiste, qui met l’accent sur la construction du sens face au « texte » médiatique ; de l’autre, le paradigme praxéologique, qui insiste sur la dimension de l’action collective et sur la sociabilité qui se noue autour des pratiques médiatiques et culturelles. La difficulté à articuler ces paradigmes, qui recoupe la tension entre sciences du signe et de la société, conduit à une conception morcelée des modes d’existence des publics. Cette contribution propose de les articuler autour d’une conception de la communication comme le processus de distribution sociale de la connaissance, au travers de laquelle la réalité est construite, objectivée et contestée. Sous ce prisme, l’activité interprétative des publics résonne simultanément en deux sens : épistémique, celui de la mobilisation par les publics du socle de connaissances qui organise leur expérience, et agonistique, selon lequel les publics rendent sensibles leur expérience et leurs connaissances ordinaires en les déployant publiquement dans divers types de situations sociales.
Accès aux origines pour les personnes issues de don
Authors: Brunet Laurence , Mesnil Marie
Published: February 2024

Le 15 septembre 2023, la Commission d’accès des personnes nées d’une assistance médicale à la procréation aux données des tiers donneurs (CAPADD) a rendu son premier rapport annuel d’activité : il y est expliqué de quelle manière est désormais organisée, en France, la levée de l’anonymat du donneur de gamètes ainsi que la communication des données non identifiantes, avec un nouveau régime pour l'avenir et un autre, transitoire, visant les anciens donneurs soumis à la règle antérieure de l’anonymat absolu. Dans sa quête des « origines », la CAPADD rencontre de nombreux obstacles.
Sustainable Financial Inclusion
Authors: Ozili Peterson K.
Published: February 2024

This chapter provides an in-depth discussion of sustainable financial inclusion. Using the discourse analysis method, the chapter provides several definitions of sustainable financial inclusion and shows the importance and benefits of sustainable financial inclusion. The chapter also highlights the strategies to achieve sustainable financial inclusion and some challenges that may be experienced in the pursuit of sustainable financial inclusion. The implication of sustainable financial inclusion is that there will be increasing demand for agents of financial inclusion to not only seek profits but to also seek the preservation of society and the environment in their efforts to increase financial inclusion in rural and urban areas. The sustainable financial inclusion agenda will give banked adults an opportunity to pressure agents of financial inclusion to be sustainability oriented. This is a privilege that is non-existent in the mainstream financial inclusion agenda. This calls for a shift from the ‘mainstream financial inclusion' agenda to a ‘sustainable financial inclusion' agenda.
Analysis of Mobile Money and Sustainable Development in Africa
Authors: Ajide Folorunsho , Adamson Temitope Wasiu , Fatai Musbau Olaniyan
Published: February 2024

The objective of this study is to examine the impact of mobile money innovations on sustainable development in Africa. Applying panel fixed effect, system GMM, and dynamic threshold estimators on a panel data of 34 selected African countries within a period of 2011 and 2019, the study reveals some interesting findings. First, the authors show that mobile money promotes sustainable development. Second, there is a nonlinear relationship between mobile money and sustainable development in Africa. Finally, the turning point at which mobile money innovations become detrimental to sustainable development is within the range of 18.31% and 38.57%. This implies that although mobile money enhances development, adequate supervision and monitoring would guarantee the sustainability of the beneficial impacts in the African economy. Overall, mobile money facilitates efficient allocations of financial resources and may enhance the possibility of reducing poverty in Africa.
The United Nations Sustainable Development Goal of SME Financing
Authors: Lucas Ana , Monteiro Daniela , Ramires Ana , Rita Luis
Published: February 2024

SMEs play a pivotal role in job creation and wealth generation, and their financial inclusion is crucial to assure their sustainability. This research explores if and how economic performance and financial stability influence lenders in their decisions. It measured economic performance and financial stability by profitability and liquidity ratios. It also explores the role of the audit report. It considers financial statements from 2016 to 2019, focusing on companies in the tourism sector in Portugal. The outcomes provide valuable insights for SMEs managers, helping them to access bank loans at a lower cost. This is crucial for the sustainability of these businesses, mainly considering the severe challenges faced by the tourism sector. These findings align with the United Nations Sustainable Development Goals, particularly Goal 8, which encompasses the objective of improving SMEs' access to financial services. This research demonstrates that both profitability and liquidity impact the cost of debt. The audit report and its content don't seem to influence credit conditions.
Some Emerging Communication Roles for Generative AI
Authors: Jackson Michele H.
Published: February 2024

Understanding generative AI (GAI) from a communication perspective is challenging given the breadth of issues and perspectives that have emerged. To help distill these ideas and focus our conversation, this chapter proposes thinking about GAI in terms of the different communication roles that it fulfills. The roles of expert, copilot, interlocutor, and channel are presented with illustrations of each role taken from other contributions to this volume. Across the academy, scholars have mobilized to understand generative artificial intelligence (GAI) and foresee how GAI may alter the horizon of higher education.
Unravelling the Evolution of Generative AI in Communication Education
Authors: Babu C. V. Suresh , Suruthi G.
Published: February 2024

This chapter traces the historical evolution of human-machine communication, highlighting generative AI's transformative role. It begins with the origins of AI and early communication technologies, including Alan Turing's pioneering work and the development of Turing machines, as well as early AI experiments in human-machine interaction. The narrative then transitions to AI's evolution and the emergence of generative models, spotlighting advancements like recurrent neural networks (RNNs) and long short-term memory (LSTM) networks, which are fundamental to coherent text generation. The pivotal role of generative AI in language and communication learning is explored, showcasing its impact on writing skills and comprehension. Ethical considerations in AI usage are discussed, including bias, privacy, and ethical communication practices. The chapter concludes by envisioning AI's future in communication pedagogy, emphasizing collaboration between educators and AI developers and recapitulating historical insights for the integration of AI in education.
Charting the Ethical Course
Authors: Le-Nguyen Huong-Tra , Tran Trung Thanh
Published: February 2024

Generative AI tools have emerged as transformative resources in the realm of communication education. These tools harness the power of artificial intelligence to assist students and educators in various aspects of communication studies, including writing, public speaking, and media production. At their core, generative AI tools are designed to generate human-like text, speech, or visuals autonomously, replicating and augmenting the capabilities of human communication. They encompass a range of applications, from chatbots that facilitate communication skill development to language models that assist in content creation and editing. These tools are becoming increasingly prevalent in communication classrooms, providing unique opportunities for personalized learning, skill enhancement, and creativity.
Screaming Out Loud in the Communication Classroom
Authors: Hu Yifeng , Kurylo Anastacia D.
Published: February 2024

This chapter addresses the role that stereotypes play in the advent of the AI age as specifically evidenced in AI generated images and the implications of it in communication classrooms. AI and human information processing share similar elements: learning, perceiving, and reproducing, and they feed into each other in order to perpetuate stereotypes. In our literature review we draw a comparison and establish a relationship between the fallibility of human cognitive information processing and the production of stereotypical images that AI seems to unabashedly scream back to us. Using several Asians stereotypes as a case study, we experiment with several AI image and video generators: Dall-E, Midjourney, and Pika Art. Different prompts are used to analyze the stereotypical nature of the images generated by these AI platforms. In our discussion section, first, we address the collaborative and hegemonic human-AI interactive problem and highlight two implications of such interactions: the invisibility of historically marginalized groups and harm done to target groups. Second, we discuss the double bind that we have identified through this work, which precludes offering clear cut solutions. Third, by applying what we have analyzed and synthesized in communication classrooms, we argue that communication teachers and students can benefit from image and video generating AI but need to focus on the potential risks of AI in reproducing and spreading harmful stereotypes about less visible, less powerful groups. We conclude that image and video generating AI reveals deeply rooted unconscious biases in people's minds and screams them out loud. Learning how to identify them, and better yet, how to prevent them from the beginning, is critical AI literacy that communication students and future communication and media professionals want to equip themselves with.
The Future Is Already Here
Authors: Elmoudden Sanae , Wrench Jason S.
Published: February 2024

This chapter concludes the book by discussing our overarching objective highlighting the central role of GAI in shaping our educational system. By steering the ongoing discourse toward the communication classroom, the authors delved into its proliferation in academia, emphasized the significance of academic preparedness, and confronted unethical representations. It also discusses the relationship between GAI whiteness and wokeness.
Enhancing Language Teaching Materials Through Artificial Intelligence
Authors: Singha Surjit , Singha Ranjit , Jasmine Elizabeth
Published: February 2024

Incorporating artificial intelligence (AI) into language education signifies a paradigm shift that promotes originality and inclusiveness. The partnership between AI developers and educators effectively tackles obstacles and establishes a foundation for continuous progress. Anticipating the future, the progression of AI holds the potential to deliver intricate customization, customizing educational encounters to suit the unique requirements of each individual. Responsible incorporation of AI into teaching methodologies transforms them into a collaborative model that empowers educators to engage in individualized interactions. Ethics remain of the utmost importance, encompassing bias mitigation and privacy. In essence, the integration of AI into language education signifies an impending era in which the combined powers of technology and human proficiency foster the development of capable individuals who are prepared to navigate an interconnected, digitally globalized society.
Integrating ChatGPT Into a Culture-Focused Flipped Curriculum for Chinese as a Foreign Language
Authors: Wang Jianfen
Published: February 2024

This chapter explores ChatGPT's potential for assisting in a culture-focused flipped curriculum to facilitate the development of intercultural communicative competence, a core value of foreign language education in the 21st century. Three experiments assess ChatGPT's performance in generating scenarios and performance scripts for practicing intercultural communication in Chinese-speaking contexts. While ChatGPT demonstrates remarkable linguistic accuracy and comprehension abilities, it struggles to generate scripts that reflect communicative strategies specific to Chinese-speaking contexts, especially when the prompt lacks explicit instructions about Chinese cultural expectations. The limitation can be rooted in ChatGPT's training and the user's ineffective prompting. The findings suggest that ChatGPT is better suited as a reference tool than a primary learning resource in the curriculum. The implications for foreign language education and the integration of AI are also discussed.
E-Learning Ecosystem in Higher Education Institutions
Authors: Singh Amrik , Kumar Prashant
Published: February 2024

The systematic use of technologies in order to orchestrate learning has become widely used in the past years. Diverse technologies have been applied in a variety of teaching practices: for instance, learning tools that allow you to flip the classroom or monitor other active learning practices. E-learning is learning through the use of technology. It is growing at a rapid pace. Today more organizations are taking up e-learning. While e-learning technology has matured considerably since its inception, there are still many problems that practitioners face when implementing e-learning. This chapter aims to discuss the current challenges and future implications of e-learning systems and how an e-learning ecosystem can help higher education institutions on a large scale. The university is regarded as a center of such an ecosystem due to skilled knowledge providers and technical equipment availability. The ICT tools are very actively used in these initiatives aiming to develop highly demanded skills such as critical thinking, creativity, and complex problem solving.
ChatGPT and Generative AI in Educational Ecosystems
Authors: Haidar Ahmad
Published: February 2024

Generative artificial intelligence (GenAI) is transforming the education landscape, with ChatGPT emerging as a pervasive force in student engagement and pedagogical methods. A systematic rapid review of 43 studies dissects ChatGPT's nuanced role in education, highlighting its capacity to transform passive learning into an interactive and engaging process. The analysis ventures into the dark side of ChatGPT from the perspectives of educators and students, highlighting concerns about academic misconduct, the reliability of the information provided by ChatGPT, digital safety, bias, data privacy, academic integrity, threats to traditional and online assessments, and the potential erosion of critical thinking skills. To responsibly integrate AI into educational frameworks, the chapter delineates strategic recommendations that ensure technological advancements align with safeguarding educational standards and fostering a secure learning environment. This chapter offers a guide for educators and academic institutions to harness AI's educational potential while mitigating its risks ethically.
Empowering Educators in the Learning Ecosystem
Authors: Tariq Muhammad Usman
Published: February 2024

The changing face of education serves as the backdrop for this chapter. Driven by technological breakthroughs, the demand for 21st-century skills, and the need to adapt to the different demands of today's learners, traditional teaching paradigms give way to more dynamic, learner-centered approaches, ushering in a new era for educators. As a result, the chapter reveals the changing educational environment, emphasizing the shift from traditional pedagogy to a more holistic and personalized approach to learning. The reimagined role of educators is central to this debate. They have progressed from knowledge distributors to learning facilitators, mentors, and advocates of critical thinking, creativity, and adaptability. This chapter delves into educators' various obligations today, such as encouraging digital literacy, building a growth mindset, and cultivating learners' socio-emotional development. Educators are no longer constrained to the four walls of the classroom.
Understanding and Mitigating Authority Bias in Business and Beyond
Authors: Gültekin Duygu Güner
Published: February 2024

The need for authority in society persists, with individuals expected to follow instructions unless in absolute isolation. Epistemic authorities, perceived as having valid knowledge in specific fields, guide peoples' understanding of the world. This includes leaders, experts, and even automated systems, all of whom can influence attitudes and actions. However, blind obedience to authority has detrimental consequences, referred to as “authority bias.” This bias leads people to reflexively follow perceived legitimate authorities, impacting law enforcement, policymaking, business, marketing, and consumer behaviour. It can be triggered by symbols of authority, compelling storytelling, and charismatic figures. Today, it extends to non-human entities such as algorithms and robots, raising questions about their role in decision-making. Mitigation strategies include introducing conflicting authorities and empowering junior employees to challenge opinions with data.
Groupthink in Contemporary Decision Making
Authors: Gültekin Duygu Güner
Published: February 2024

This chapter explores the persistent relevance of groupthink in collective decision-making dynamics. It delves into the seminal work of psychologists Solomon Asch and Irving Janis, highlighting its enduring impact on various domains, including politics, the military, corporate boardrooms, and everyday meetings. Understanding the symptoms and consequences of groupthink is crucial for improving decision-making in contemporary society. Groupthink describes the tendency of closely-knit groups to prioritise consensus over rational decision-making, leading to hasty agreements without proper evaluation. The study emphasises the importance of constructive conflict, challenges the notion of conflict-free meetings, and explores strategies to mitigate groupthink, including fostering collaboration, appointing devil's advocates, and promoting leadership that encourages open dialogue.
Decoding Algorithmic Bias
Authors: Aksoy Ozgur
Published: February 2024

Predictive algorithms are increasingly used to assist decision-making for efficiency gains. However, it is essential to acknowledge that algorithms can mirror systemic biases in their predictions in a way that favors certain groups over others, even if they are immune to cognitive biases. The notion of algorithms generating unfair predictions is referred to as “algorithmic bias.” Addressing cognitive biases in humans might not always be an effective solution to mitigate algorithmic bias. Therefore, it is essential to understand when and how quantitative technical mitigation methods can address this issue. This chapter explores the fundamental concepts of algorithmic bias, its sources, and technical mitigation strategies. In a world where humans and AI are intertwined, it is our responsibility to ensure a fair digital future. Addressing algorithmic bias is critical to achieving this goal.
Integration of Artificial Intelligence in the Financial Sector
Authors: Kashif Mohammad , David Arokiaraj , Gupta Vijay Prakash , Alam Shahid
Published: February 2024

Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. Learning, reasoning, problem-solving, vision, language comprehension, and even some types of decision-making are among these tasks. The goal of artificial intelligence (AI) is to build devices or software that can replicate cognitive processes and adjust to various environments, becoming more and more effective over time in the financial sector. Within the discipline of artificial intelligence (AI), machine learning (ML) focuses on developing models and algorithms that enable computers to learn from data and make decisions or predictions without explicit programming. This chapter introduces how machine learning is playing a pivotal role in the financial industry. Key concepts in machine learning for finance and advantages are also discussed.
Optimal Location of Capacitor in a Radial Distribution System Using New Hybrid Method
Authors: Ousseyni Ibrahim Hassane , Oloulade Arouna , Gonda Moussa , Fifatin Francois Xavier
Published: February 2024

This paper solves the problem of optimal sizing and locations of capacitors in radial distribution system using a new hybrid method combining a new stability index and a genetic algorithm to improve the loss, voltage and stability planes. The Bus Voltage Stability Index BVSI is used to determine the locations and the genetic algorithm GA to calculate the size. The GA-BVSI analytical-metaheuristic method, compared with existing methods, is more suitable and recommended for operators who are faced with the problem of sizing capacitors to improve the technical performance of their network. Keywords: Optimal sizing and locations; Capacitors; Radial distribution system; New stability index;Hybrid method.
Influence of Annealing Duration on the Structural, Optical and Electrical Properties of ZnO Layers Deposited Using the Dip-Coating Method
Authors: Toe May Zin , Matsuda Atsunori , Yaacob Khatijah Aisha , Pung Swee Yong
Published: February 2024

Zinc sol deposited via dip coating on Fluorine-doped Tin Oxide (FTO) coated glasses were annealed at 450 °C in normal ambient to form ZnO layers. The effect of annealing durations, i.e. 30, 60, 90, and 120 min on their surface morphology, crystallinity, optical, electrical and Dye-Sensitized Solar Cells (DSSCs) performance were studied. The XRD analyses indicated the formation of wurtzite ZnO after 60 min of annealing. It is noted that the ZnO layers annealed at 60-120 min showed good crystal quality attributed to its sharp, narrow and strong diffraction peaks. Generally, ZnO layers with uniform thickness have been deposited on the FTO coated glasses. The thickness of ZnO layers decreased from 0.88, 0.78, 0.76, and 0.73 mm when the annealing duration increased from 30 to 120 min due to removal of hydrocarbons from the zinc sol. The O at. % increased with annealing duration, indicating that more oxygen reacted with zinc to form ZnO. The ZnO thin film annealed at 60 min had relatively low sheet resistance (9.6 W) with optical bandgap of 3.04 eV. This suggests that ZnO layers annealed at 60 min have the largest amount of oxygen vacancies that contributed electrons for charges transportation in the layers. Besides, the Room Temperature Photoluminescence (RTPL) analyses showed that the ZnO thin film annealed for 60 min showed IUV/IVis ratio = 0.89, suggesting better crystal quality compared to shorter annealing duration.
Use of Polyacrylonitrile as Anodic Artificial Solid Electrolyte Interphase for Aqueous-Based Zinc-Ion Batteries
Authors: Muangplod Nutchaya , Somwangthanaroj Anongnat , Kheawhom Soorathep
Published: February 2024

Rechargeable aqueous zinc-ion batteries (ZIBs) have attracted attention for energy storage systems because of their high specific capacity, low cost, and safety. However, practical application of the zinc anode in mild acidic electrolytes is limited by several issues such as dendrite formation, corrosion, hydrogen evolution reaction, passivation and relatively low cycling performance. Coating the zinc anode with graphite (GP) can partially solve these issues and improves the cycling performance of ZIB. However, after long-term charge/discharge cycles, zinc tends to migrate and redeposit over the surface of GP owing to the electronic conductivity of GP particles. Thus, after long-term cycling, the issues mentioned are back. Fabrication of artificial solid electrolyte interphase (ASEI) on the surface of the zinc anode shows high potential for solving these issues. In this work, polyacrylonitrile (PAN) with zinc trifluoromethanesulfonate (Zn(CF3SO3)2) (PANZ) as ASEI was coated on the GP layer onto the zinc anode (PANZ@GP@Zn), and compared with the anode having GP coated layers and pristine zinc anode. The coating layer was prepared by the doctor blading method. The result showed that the PANZ@GP@Zn anode can reduce zinc deposition over the anode surface when compared with the GP@Zn anode, leading to the high cycling stability of ZIBs and extending the battery's life.
Serum Immunoglobulin a Antibodies to Glycopeptidolipid Core Antigen for Mycobacteroides abscessus Complex Lung Disease
Authors: Kobayashi Takehiko , Tsuyuguchi Kazunari , Yoshida Shiomi , Kurahara Yu , Minomo Shojiro , Inoue Yoshikazu , Suzuki Katsuhiro
Published: February 2024

Background:

Mycobacteroides abscessus complex (MABC) exhibits smooth morphotypes, expressing glycopeptidolipid (GPL), and rough morphotypes, expressing diminished GPL, on the MABC cell wall. Few reports have focused on the relationship between anti-GPL-core immunoglobulin A (IgA) antibody and colony morphology in MABC lung disease.

Methods:

This study aimed to test GPL core antigen in patients with MABC lung disease to investigate the relationship between coinfection/contamination in other nontuberculous mycobacteria species and colony morphology variant in MABC isolates. Patients with MABC lung disease and contamination diagnosed between 2012 and 2017 at our hospital were enrolled retrospectively.

Results:

Of the assessed patients, 43 patients with MABC lung disease and 13 with MABC contamination were included. There was a significant difference in anti-GPL-core IgA antibody levels between them (P = 0.02). Forty-three patients with MABC lung disease were divided into two groups as positive and negative antibodies groups. A significant increase in the positive anti-GPL-core IgA antibody was observed in coexistence with both Mycobacterium avium complex (MAC) (P = 0.02) and the isolate of the smooth variant (P = 0.03) in MABC.

Conclusions:

Anti-GPL-core IgA antibodies in patients with MABC are greatly influenced by MAC coexistence, and colony morphology variant of the MABC isolate.
Association of Fear-avoidance Belief with Dynamic Balance, Functional Performance, and Disability in Chronic Low Back Pain Patients: A Cross-sectional Study
Authors: Panhale Vrushali P. , Walankar Prachita Pravin , Khedekar Sayali S.
Published: February 2024

Context:

Chronic low back pain is a common musculoskeletal condition in the community. According to fear-avoidance beliefs model, the anticipation of increased pain or reinjury further evokes the avoidance behavior causing disability.

Aim:

The study aimed to correlate fear-avoidance beliefs with dynamic balance, functional performance, and disability in chronic low back pain patients.

Settings and Design:

A cross-sectional study was conducted in 75 chronic low back pain patients in a tertiary care hospital.

Subjects and Methods:

Pain, fear-avoidance beliefs, dynamic balance, and disability were assessed in chronic low back pain patients. Pain was evaluated using the numerical pain rating scale, fear avoidance using the fear-avoidance belief questionnaire (FABQ), disability using the Roland–Morris disability questionnaire, dynamic balance using the MiniBest test, and functional performance using the Back Performance Scale.

Statistical Analysis Used:

Statistical measures such as median and interquartile ranges were calculated. The Spearman’s correlation test was used.

Results:

There was a low correlation between FABQ and pain (r = 0.431, P = 0.000), dynamic balance (r = −0.425, P = 0.000), and functional performance (r = 0.482, P = 0.000) and moderate positive correlation with disability (r
s = 0.538, P = 0.000) in chronic low back pain patients.

Conclusions:

Fear-avoidance beliefs are significantly associated with pain, dynamic balance, functional performance, and disability in chronic low back pain patients.
Traffic sign recognition using CNN and Res-Net
Authors: Cruz Antony J , Karpura Dheepan G M , K Veena , Vikas Vellanki , Satyamitra Vuppala
Published: February 2024

In the realm of contemporary applications and everyday life, the significance of object recognition and classification cannot be overstated. A multitude of valuable domains, including G-lens technology, cancer prediction, Optical Character Recognition (OCR), Face Recognition, and more, heavily rely on the efficacy of image identification algorithms. Among these, Convolutional Neural Networks (CNN) have emerged as a cutting-edge technique that excels in its aptitude for feature extraction, offering pragmatic solutions to a diverse array of object recognition challenges. CNN's notable strength is underscored by its swifter execution, rendering it particularly advantageous for real-time processing. The domain of traffic sign recognition holds profound importance, especially in the development of practical applications like autonomous driving for vehicles such as Tesla, as well as in the realm of traffic surveillance. In this research endeavour, the focus was directed towards the Belgium Traffic Signs Dataset (BTS), an encompassing repository comprising a total of 62 distinct traffic signs. By employing a CNN model, a meticulously methodical approach was obtained commencing with a rigorous phase of data pre-processing. This preparatory stage was complemented by the strategic incorporation of residual blocks during model training, thereby enhancing the network's ability to glean intricate features from traffic sign images. Notably, our proposed methodology yielded a commendable accuracy rate of 94.25%, demonstrating the system's robust and proficient recognition capabilities. The distinctive prowess of our methodology shines through its substantial improvements in specific parameters compared to pre-existing techniques. Our approach thrives in terms of accuracy, capitalizing on CNN's rapid execution speed, and offering an efficient means of feature extraction. By effectively training on a diverse dataset encompassing 62 varied traffic signs, our model showcases a promising potential for real-world applications. The overarching analysis highlights the efficacy of our proposed technique, reaffirming its potency in achieving precise traffic sign recognition and positioning it as a viable solution for real-time scenarios and autonomous systems.
A Survey about Post Quantum Cryptography Methods
Authors: J Jency Rubia , R Babitha Lincy , Nithila Ezhil E , C Sherin Shibi , A Rosi
Published: February 2024

Cryptography is an art of hiding the significant data or information with some other codes. It is a practice and study of securing information and communication. Thus, cryptography prevents third party intervention over the data communication. The cryptography technology transforms the data into some other form to enhance security and robustness against the attacks. The thrust of enhancing the security among data transfer has been emerged ever since the need of Artificial Intelligence field came into a market. Therefore, modern way of computing cryptographic algorithm came into practice such as AES, 3DES, RSA, Diffie-Hellman and ECC. These public-key encryption techniques now in use are based on challenging discrete logarithms for elliptic curves and complex factorization. However, those two difficult problems can be effectively solved with the help of sufficient large-scale quantum computer. The Post Quantum Cryptography (PQC) aims to deal with an attacker who has a large-scale quantum computer. Therefore, it is essential to build a robust and secure cryptography algorithm against most vulnerable pre-quantum cryptography methods. That is called ‘Post Quantum Cryptography’. Therefore, the present crypto system needs to propose encryption key and signature size is very large.in addition to careful prediction of encryption/decryption time and amount of traffic over the communication wire is required. The post-quantum cryptography (PQC) article discusses different families of post-quantum cryptosystems, analyses the current status of the National Institute of Standards and Technology (NIST) post-quantum cryptography standardisation process, and looks at the difficulties faced by the PQC community.
Shi arrangements and low elements in affine Coxeter groups
Authors: Chapelier-Laget Nathan , Hohlweg Christophe
Published: February 2024

Given an affine Coxeter group W, the corresponding Shi arrangement is a refinement of the corresponding Coxeter hyperplane arrangements that was introduced by Shi to study Kazhdan–Lusztig cells for W. Shi showed that each region of the Shi arrangement contains exactly one element of minimal length in W. Low elements in W were introduced to study the word problem of the corresponding Artin–Tits (braid) group and turns out to produce automata to study the combinatorics of reduced words in W. In this article, we show, in the case of an affine Coxeter group, that the set of minimal length elements of the regions in the Shi arrangement is precisely the set of low elements, settling a conjecture of Dyer and the second author in this case. As a by-product of our proof, we show that the descent walls – the walls that separate a region from the fundamental alcove – of any region in the Shi arrangement are precisely the descent walls of the alcove of its corresponding low element.
A free discontinuity approach to optimal profiles in Stokes flows
Authors: Bucur Dorin , Chambolle Antonin , Giacomini Alessandro , Nahon Mickaël
Published: February 2024

In this paper we study obstacles immersed in a Stokes flow with Navier boundary conditions. We prove the existence and regularity of an obstacle with minimal drag, among all shapes of prescribed volume and controlled surface area, taking into account that these shapes may naturally develop geometric features of codimension

1

. The existence is carried out in the framework of free discontinuity problems and leads to a relaxed solution in the space of special functions of bounded deformation (

\mathrm{SBD}

). In dimension two, we prove that the solution is classical.
La religion au travail
Authors: Zandirad David
Published: February 2024

Cet ouvrage offre une analyse juridique approfondie des interactions entre la religion et le travail. Après une première partie théorique posant le cadre interdisciplinaire de la problématique, la deuxième aborde les règles régissant les rapports entre la religion et le travail, présentées de façon chronologique et dans une perspective pratique par l'étude de la casuistique. Dans la troisième partie, l’auteur propose, dans une optique comparatiste avec le droit canadien et par une prospective dans l’entreprise de demain, de repenser la religion au travail. Il conclut en plaidant pour un dialogue et une participation renforcés au sein de l’entreprise pour mieux concilier liberté religieuse et nécessité de règles communes dans les rapports de travail.
KOMPARATIVNA ANALIZA RAZLIČITIH METODA DISPEČINGA REAKTIVNIH SNAGA IZMEĐU GENERATORA U ELEKTRANI
Authors:   University of Belgrade, School of Electrical Engineering, Pavlović Jelena , Radojičić Bojan ,   Public Enterprise „Elektroprivreda Srbije“, TPP Nikola Tesla A, Stančić Lazar ,   Public Enterprise „Elektroprivreda Srbije“, TPP Nikola Tesla A, Dragosavac Jasna ,   Electrical Engineering Institute “Nikola Tesla”, University of Belgrade, Dobričić Sava ,   Electrical Engineering Institute “Nikola Tesla”, University of Belgrade, Janda Žarko ,   Electrical Engineering Institute “Nikola Tesla”, University of Belgrade
Published: February 2024

Two methods of reactive power dispatching between generators in the power plant are presented in the paper. Total reactive power required is deployed between generators connected to the power grid and the load coefficients are maintained evenly. According to the first method, “per grid”, load coefficients are determined as a ratio of generated reactive power and total generator available reactive power range. According to the second method, “per generator”, load coefficients are determined depending on the sign of total reactive power required. If the total reactive power required is positive (on the terminals of the generator), load coefficient is determined as ratio of generated reactive power and positive part of total generator available reactive power range (from zero to maximal ractive power available), and if the total reactive power required is negative, load coefficient is determined as ratio of absorbed reactive power and negative part of total generator available reactive power range (from minimal ractive power available to zero). The advantage of the first dispatching method is that all the generators simultaneously reach their lowest and highest allowed values, Qmin and Qmax, and then simultaneously activate excitation limiters when the grid voltage varies. The advantage of the second dispatching method is maintaining of the terminal voltages of the generators evenly, which has the favorable influence on the generator lifespan. Only if the terminal voltage of the generator is the limiting factor, this method also enshures reaching Qmin and Qmax at the same time and simultaneous limiter activation
UTICAJ FREKVENCIJSKI ZAVISNIH PARAMETARA TLA NA UDARNE KARAKTERISTIKE UZEMLjIVAČA
Authors:   University of Belgrade, School of Electrical Engineering, Knežević Sonja , Stojković Zlatan ,   University of Belgrade, School of Electrical Engineering, Žarković Mileta ,   University of Belgrade, School of Electrical Engineering
Published: February 2024

The calculation of steady state and impulse characteristics of grounding electrodes is a complex problem because it depends of a great number of different factors. The largest influence on these characteristics have constructive parameters of grounding electrodes, electric characteristics of the soil, as well as shape, value and the place of injection of current wave. This document conducts an analysis of the influence of soil-parameter frequency dependence on impulse characteristics of the grounding electrodes. In this document it is shown how frequency dependent soil resistivity and relative permittivity influence grounding electrodes in impulse regime. Traditionally, the ground parameters have been modelled with constant parameters wich is acceptable only for analyzing steady state regime of grounding electrodes. Recent research, that are demonstrated in document 781 CIGRE Paris, show that it is necessary to consider frequency dependency of parameters for frequencies above 100 Hz, wich are regular occurance for lightning discharge. The analysis is done with the use of software program MATLAB and the results are exibit trough graph and tables that compare results from different cases
POREĐENJE PERFORMANSI PSO I GA METODA PRI ODREĐIVANJU OPTIMALNOG RASPOREDA PROVODNIKA DVOSTRUKIH NADZEMNIH VODOVA
Authors:   University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia, Ranković Aleksandar , Mijailović Vladica ,   University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
Published: February 2024

The paper presents the results of the double-circuit overhead power line phase conductors arrangement optimization, in order to reduce the maximum values of electric field and magnetic flux density. The unique fitness function was obtained by normalizing the values of the electric field and magnetic flux density in relation to the corresponding prescribed limit values in the Republic of Serbia. The influence of sagged conductor and the distribution of the electric charges along the conductor were taken into account in the calculations. The considered nonlinear optimization problem is solved by applying two metaheuristic methods: Genetic Algorithm and Particle Swarm Optimization. The proposed optimization methods were applied to the 400 kV double-circuit overhead power line. The influence of different length of insulator is considered. In order to evaluate the efficiency of both proposed optimization methods, the results were compared with the results obtained on the typical 400 kV double-circuit overhead power line
ANALISIS KOMUNIKASI PERSUASIF SEBAGAI UPAYA MENGUBAH PERILAKU MAKAN MAKANAN SEHAT
Authors: Munawaroh Siti , Firizki Rayhan Syawal
Published: February 2024

Makan makanan sehat adalah salah satu faktor penting untuk menjaga kesehatan. Namun, banyak orang yang tidak makan makanan sehat karena berbagai alasan, seperti kurangnya pengetahuan, kurangnya motivasi, atau akses yang terbatas ke makanan sehat. Tujuan penelitian ini adalah untuk menganalisis komunikasi persuasif sebagai upaya mengubah perilaku makan makanan sehat. Penelitian ini menggunakan metode penelitian kualitatif. Teknik pengumpulan data dilakukan dengan mengeksplorasi jurnal, buku dan informasi lain yang relevan dengan penelitian yang diperoleh dari Google Schoolar. Data yang telah terkumpul kemudian dianalisis dalam tiga tahapan yakni reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukan bahwa komunikasi persuasif dapat digunakan untuk mengubah perilaku makan makanan sehat dengan cara memberikan informasi yang akurat dan relevan tentang manfaat makan makanan sehat, membangun kepercayaan dengan transparansi dan kejujuran, sehingga audiens merasa yakin dengan informasi yang disampaikan, dan menciptakan rasa empati dengan cara memahami kebutuhan dan keinginan audiens
Tinjauan Terhadap Potensi Kriminalisasi Petugas Kesehatan Atas Ketidakpastian Kebijakan Medikalisasi Sunat Perempuan
Authors: Indraputra Idham
Published: February 2024

Pemerintah Indonesia tidak melarang medikalisasi sunat perempuan, namun pedoman penyelenggaran sampai dengan sekarang masih menjadi pekerjaan rumah yang belum diselesaikan oleh Majelis Pertimbangan Kesehatan dan Syara'k. Sehingga standar penyelenggaraan sunat perempuan yang baik untuk kesehatan belum mendapat kepastian hukum. Dampak dari ketidakpastian hukum ini telah berpotensi untuk mengkriminalisasikan petugas kesehatan ditengah-tengah masyarakat Indonesia yang masih melestarikan tradisi sunat perempuan. Oleh karenanya menjadi menarik untuk dilakukan penelitian dengan menggunakan metode normatif yang bersifat deskriptif analitis. Adapun hasil analisa dari penelitian ini, telah menjelaskan bahwa petugas kesehatan yang menolak dan/atau melakukan medikalisasi sunat perempuan tanpa kepastian standar medis yang baik untuk kesehatan dapat berpotensi dituntut dengan dugaan tindaka pidana Pasal 304 KUHP, dan Pasal 360 ayat (2) KUHP. Dengan potensi yang dapat mengkriminalisasikan petugas kesehatan, maka untuk memberikan perlindungan hukumnya, dapat menggunakan pendekatan sebagaimana keadaan daya paksa, yang berdasarkan Pasal 302 ayat (3) UU Kesehatan, dan Pasal 48 KUHP, serta dengan persetujuan praktik yang berdasarkan Pasal 1338 KUHPERdata, Pasal 1320 KUHPerdata, Pasal 273 ayat (1) huruf (i) UU Kesehatan, dan Pasal 50 KUHP, serta Permenkes 6/2014.
Faktor-Faktor Yang Mempengaruhi Customer Satisfaction Terhadap Customer Loyalty pada Coffee Shop Lokal Berkonsep Industrial di Jakarta
Authors: Marsellina Giofani Seyva , Suhud Usep , Rahmi Rahmi
Published: February 2024

Tujuan dari penelitian ini untuk menguji pengaruh product quality, perceived price, dan store atmosphere terhadap customer satisfaction. Serta menguji pengaruh product quality, perceived price, store atmosphere dan customer satisfaction terhadap customer loyalty. Penelitian ini dilakukan di wilayah DKI Jakarta, menggunakan metode survei dengan penyebaran kuesioner melalui Microsoft Form. Populasi yang digunakan dalam penelitian ini adalah pelanggan yang pernah mengunjungi dan melakukan pembelian di coffee shop lokal berkonsep industrial dalam kurun waktu tiga bulan terakhir, berdomisili di DKI Jakarta, dan berusia minimal 17 tahun. Penelitian ini menggunakan teknik pengambilan purposive sampling, dengan total sampel sebanyak 212 responden. Pendekatan yang digunakan dalam penelitian ini yaitu pendekatan kuantitatif dengan teknik analisis data SEM (Structural Equation Modelling). Temuan penelitian menunjukkan bahwa kepuasan pelanggan dipengaruhi secara positif dan signifikan oleh product quality, perceived price, dan store atmosphere. Loyalitas pelanggan dipengaruhi secara positif dan signifikan oleh suasana toko dan kepuasan pelanggan. Loyalitas pelanggan ditemukan tidak dipengaruhi secara signifikan oleh variabel product quality dan perceived price
The Significant Impact of Workplace Environment on Gen Z Performance in Indonesia
Authors: Hendratmoko  , Mutiarawati Elisabeth Vita
Published: February 2024

Generation Z is currently entering the workforce, and the representation of Gen Z employees is continuously growing in various companies. Individual performance has a direct influence on the success of organizations or companies. Therefore, understanding and addressing the needs of employees, particularly those from Generation Z, have become essential in organizational management. This research aims to analyze the role of the workplace environment in influencing the performance of Generation Z employees. In reality, Generation Z encounters challenges in interpersonal skills. Information technology has also altered the attitudes and behaviors of Generation Z. Despite being intelligent, they may lack maturity at times. They tend to be individualistic and pragmatic, living in a digital era where everything is fast-paced and easily accessible. Hence, this study aims to analyze The Significant Impact of Workplace Environment on Gen Z Performance. This research adopts a quantitative approach, with 100 respondents from Generation Z located in Jakarta. Data collection is conducted through questionnaires, utilizing a non-probability sampling technique. The analysis method employed is Partial Least Squares (PLS), using the SmartPLS 4.0 application. The significance of the findings in this study lies in the fact that among the variables under investigation, the workplace environment is the only factor that significantly influences the performance of Generation Z employees. Meanwhile, the other two variables, workload and job stress, exhibit negative effects on performance, though these effects are not statistically significant. A conducive workplace environment is identified as a key factor in enhancing the performance of Generation Z employees.
The SOWER programme in the Antarctic: Background, aims and objectives
Authors: Best P. B. , Ohsumi S. , Kato H. , Donovan G. P.
Published: February 2024

The International Whaling Commission (IWC) imposed limits on the catch of Antarctic minke whales close to the start of commercial whaling in the 1970s. These management efforts were hampered by the challenge of obtaining robust estimates of population size. Contemporary whale assessments largely relied on measuring changes in availability as a result of exploitation – usually catch per unit effort (CPUE). However, this approach was largely impractical for Antarctic minke whales due to: (a) the short time series of CPUE data; (b) the setting of relatively conservative catch limits, so that changes in CPUE due to exploitation were difficult to detect; and (c) the possibility that abundance had been increasing before this time due to over‐exploitation of other baleen whales. The IWC initiated a series of assessment cruises in 1978 designed to obtain abundance estimates for targeted management areas in the Antarctic. Designed by the IWC’s Scientific Committee, these cruises were independent of whaling operations. The vessels were chartered whale catchers provided by Japan for the duration of the programme – and by the Soviet Union for a period of seven years. With the eventual participation of 86 scientists from 16 IWC member states, this programme became a key part of the International Decade of Cetacean Research (IDCR), launched in 1975 as a response to the 1972 Stockholm Resolution that called for a 10‐year moratorium on commercial whaling and the intensification of research efforts. While originally planned as ‘Discovery’ marking and sighting cruises, the programme eventually relied almost exclusively on sighting methods. Lasting over 30 years and involving three circumnavigations of the Southern Ocean, it became one of the largest whale monitoring exercises ever undertaken.