bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Artificial Intelligence (AI) in global Electronic Pilot Licenses
Authors: Ziakkas Dimitrios , Flores Abner , C Natakusuma Hans
Published: January 2024

ICAO Annex 1 Chapter 5 specifies that Civil Aviation Authorities “shall use first quality paper or any other kind of appropriate material, including plastic cards, where all data stated in Section 5.1.1.2 of the Annex of reference shall be available.” With the advancement of technology in the digital world, the shift to electronic personnel licensing has been at the forefront of the aviation industry. As of March 2023, ICAO has launched an electronic verification toolset for pilots, EPL (Electronic Pilot Licensing), to allow States to give the option of issuing electronic licenses through a standardized template (Uniting Aviation, 2023). The countries currently known that are participating in electronic pilot licensing are China, Brazil, and Australia. There are several challenges regarding e-licensing, such as license eligibility and verification, the ability to function online and offline, and license standardization worldwide (ICAO TV, 2021). Current interim solutions are automated digital verification by scanning a QR code, a manual query search on an ICAO website, and a visual inspection by inspectors using EPL verification job aids (ICAO, n.d.). However, these solutions are temporary, as there continue to be barriers to streamlining the electronic verification process of pilot licenses, especially when international operations validity is considered.Hence, the presented research focuses on the challenge of tying the e-license to a mobile platform – an application that can be used for license verification and authentication that crew members can carry around portably. The proposed Ai application is in accordance with standards outlined by the International Organization for Standardization, ISO/IEC 18013-5:2021 (ISO, 2021). A high standardization, security, and privacy level are vital to successful implementation. The Purdue CREATE research team provides an AI solution following the EASA recommendation, a lean / 6 Sigma approach in manpower planning.
A Basic Study of the Influence of Tourism Awareness on Behavior
Authors: Kondo Akiko , Togawa Satoshi
Published: January 2024

In 2023, for the first time, the population of all 47 prefectures in Japan declined. Going forward, Japan will continue to face a long-term, rapid population decline and an aging society with declining birthrates, which no other country in the world has experienced. Under these circumstances, the promotion of tourism interaction is one of the most important issues. This is because tourism has a wide-ranging impact on local employment and the local economy, as well as improving local vitality. Under these circumstances, it is necessary to elucidate the mechanism of tourism interaction.With the promotion of DX (Digital Transformation), the use of AI and IoT has become much more advanced and easier than before. On the digital twin (virtual space), unlike the conventional metaverse space, the real space environment can be completely reproduced, and monitoring and simulation can be performed. This calls for the use of this technology for tourism interaction. This is because in the digital twin space, its reproduction AI has been constructed based on AI analysis methods based on actual data, and simulations that are difficult to experiment with are now possible. On the other hand, the reproduction and simulation do not take into account people's consciousness and thoughts, and as with generative AI, they adopt the best-fitting results based on numerical precision, and are not capable of clarifying the specific factors that bring about the results.The purpose of this study is to clarify the relationship between tourism factors and performance, taking into account the influence of people's awareness and thoughts about tourism on their actual behavior. This study is a basic analysis in clarifying the mechanism of tourism interaction considering people's awareness as a factor.Specifically, the analysis is as follows. The survey asked about people's awareness of tourism, including the importance of each item they seek in tourism, the importance of each item in their choice of tourist destination, and the results of actual tourism. Based on the results of this survey, a tourism interaction model that takes into account people's awareness is constructed. Open data will be used for socioeconomic indicators. In constructing the model, we will formulate it based on the theory of individual utility maximization. In addition, policy simulations will be conducted using the constructed model. In the process of constructing the model, we propose a method to quantify people's awareness. In addition, by conducting simulations using the constructed model, we will provide information that will contribute to future tourism exchange policies.
Acknowledging tacit knowledge: Outlining participatory workshops in a human-centered design process
Authors: Karrenbrock Anne , Brendel Laura , Popplow Laura , Varney Valerie
Published: January 2024

The energy transition presents complex challenges that require multidisciplinary insights and innovative solutions. However, traditional research methods often overlook valuable tacit knowledge, hindering effective contributions from relevant social groups. To counter this, the inter- and transdisciplinary research project MEnergy – My energy transition, funded by the German Federal Ministry for Economic Affairs and Climate Action, aims to create inclusive environments where the citizens’ perspective and experience is acknowledged, unlocked, and visualized. Based on the Social Construction of Technology (SCOT), the project aims to harness this knowledge, including gaps in knowledge, in analog, digital, and virtual communication formats to inform citizens about the energy transition and its technologies. This is done in three incremental design cycles over three years. This paper focuses on the first design cycle, which identifies participants' existing knowledge, attitudes, and emotions toward the energy transition. This is achieved in two consecutive cocreation workshops with different target groups. The participants' tacit knowledge and ability to imagine positive energy transition narratives is captured in the first workshop. Through storytelling, visualization, and collaborative ideation, participants articulate their tacit knowledge and provide insights based on their experience and expertise. Building on this, the second workshop is designed with modular interactive learning units to capture and increase the participants’ dimensions of knowledge (What can I do?) and willingness to act (What will I do?). Visual tools and collaborative techniques facilitate sharing and representation of tacit knowledge, improving the researchers’ and participants’ understanding of challenges and solutions. The data collected, both material artifacts and observation logs, is analyzed and mapped.The findings suggest an urgent need for low-threshold, local opportunities for citizens to learn about the potential of renewable energy. Furthermore, many citizens struggle to visualize a successful energy transition and have instead internalized narratives of sacrifice and prohibition. Here, scientists and policymakers are challenged not only to develop long-term sustainable solutions but also to communicate them in an accessible way.
Conceptual voicebot in the context of a passenger information system in an automated bus
Authors: Haas Benedikt , Sax Eric
Published: January 2024

Automated driving is seen as an essential part of the mobility of the future. This does not only affect the private sector but the public one as well. One consequence of this automation, in the public sector, is, that there won’t be any vehicle driver. This will lead to a need for additional systems, taking over further tasks on top of driving, which were previously executed by the vehicle driver too. One of those tasks is to answer the passengers’ questions, e.g. regarding future stops or alternative routes. This is particularly important in the bus sector. In this sector, there is greater passenger uncertainty, because the vehicle is not bound to fixed routes, due to the use of public roads, like in the case of a (suburban) train. This usage can lead to route changes, caused by e.g. road works or traffic jams. Consequently, an automated vehicle needs to be able to answer questions asked by the passengers. In order to address the passenger’s uncertainty, these answers should be easy to understand and personalized/ fitted to the questions asked.In this paper, three different approaches to automatically answer questions in the context of an automated bus are proposed. These approaches are 1.) a rule-based system, 2.) a system based on a large language model (LLM) like GPT-4 or LaMDA, and 3.) a hybrid system of rules and an LLM. The different approaches are being conceptualized and discussed. In the scope of the conceptualization, requirements as well as further challenges are derived. The discussion focuses on the capabilities to answer questions correctly and handle different languages as well as bad language. Additionally, the remaining challenges are further addressed. This includes e.g. handling emergency calls, vandalism reports, and the distribution of responsibilities regarding and the interaction with a passenger emergency management system. Following the discussion, the arguments are used to rate the approaches. Using this rating, the hybrid approach seems to be the most suited one. The reasons for this conclusion are, on the one hand, the capability to restrictions using the rules, including a defined course of action in certain situations, and on the other hand, the LLM’s ability to answer in a natural manner. Lastly, possible extensions for the hybrid approach are discussed.
Enhancing Worker Efficiency and Reducing Cognitive Workload Through Assistive Assembly: A Proof-of-Concept
Authors: Cardoso André , Bicho Estela , Braga Ana , Alves Carla , Louro Luís , Fernandes Duarte , Arezes Pedro , Colim Ana
Published: January 2024

Nowadays, fast-paced and competitive industry, assembly tasks demand significant levels of concentration, precision, and cognitive effort. These challenges often result in mental fatigue, errors, and decreased efficiency among workers. The concept of Assistive Assembly offers a promising solution, harmonizing human dexterity with cutting-edge technology. By integrating ergonomics and robotics, Assistive Assembly has the potential to provide invaluable support to assembly line workers, enabling them to achieve peak performance effortlessly. This study presents a proof-of-concept approach for a future Assistive Assembly, simulating this condition with human-human collaboration. This preliminary step aims to support a human-centered design for an assembly workstation comprising a human worker, a collaborative robot, and a video camera system. A total of 25 participants were recruited to perform a simulated window assembly task under two conditions: Assistive and Non-assistive. The NASA Task Load Index (NASA-TLX) and the number of errors committed were measured. The subjects reported significantly lower perceived cognitive workloads in the assistive condition. Related to the number of errors, a significant difference in median test scores between the two conditions was found, meaning a decrease in errors registered in the assistive setting. Although these preliminary results are promising, further development and testing are essential to refine the Assistive Assembly concept within collaborative robotics settings.
Designing a Positive Initial Experience with a Companion Pet Robot for Older Adults in Kuwait
Authors: Alhouli Sarah , Almania Nora , Sahoo Deepak
Published: January 2024

Social robots have been increasingly integrated into social environments for older adults, such as care homes. Despite this increase, it is imperative to understand how individuals perceive various robot technologies. The initial experiences could shape users' perceptions and have a lasting impact on attitudes and behaviours towards robot technology adoption. This research investigates the design of a positive initial experience with a companion pet robot for older adults in Kuwait through a user-centred design (UCD) approach. To explore user perception and preferences regarding robots, we conducted a semi-structured interview with eight older adults, during which participants engaged with an off-the-shelf companion pet robot (JoyForAll Cat), took part in two main design challenges, and completed a Godspeed questionnaire to assess their perception. We presented our findings through thematic analysis and identified five high-level themes: user impression, design and functionality, social interaction, shared context, and using desire. We also presented the Godspeed findings, showing that introducing a companion pet robot has caused significant changes in older adults' perceptions. The results imply that designing a visually appealing and interesting initial experience could improve Kuwaiti older adults' acceptance of and relationships with companion pet robots, enabling them to satisfy users' needs for emotional support and companionship, contributing to overall well-being.
Virtual Reality (VR) and Simulated Air Traffic Control Environment (SATCE) in flight training: The Purdue Case study
Authors: Ziakkas Dimitrios , Bagus Michael Kim Gede , - Eirini Synodinou Dimitra
Published: January 2024

Adaptive learning capabilities based on Artificial Intelligence (AI) can provide learners with a personalized learning path. It is a capability that customizes the trainee’s learning experience to their identified learning style and preference while providing the quickest route through the pilot training program. To accomplish this, every training program should be integrated to provide context and relevance and improve performance by generating insights on the performance of learners or cohorts and the efficacy of associated content. The aviation industry seeks novel methods for pilot training that are more efficient. Competency-Based Training and Assessment (CBTA) is a method that proposes an assessment process that helps understand how a flight crew may be able to manage both foreseen and unforeseen incidents and uses this data to help the crew achieve a higher level of efficiency.With a centralized data capture process centered on the pilot’s information, a pilot profile can be created to provide personalized training and advanced insight into the pilot’s learning experience. New technologies like Virtual Reality (VR) training combined with biometric data like eye-tracking and facial tracking can be a powerful platform to obtain the required data. Describing the communication competency from a training perspective, an AI – VR training environment (Simulated Air Traffic Control Environment - SATCE) would allow the pilots to improve their communication skills, enable pilots to ask questions with a specifically trained Generative Pre-Trained (GPT) model, and receive a validated answer. The Purdue case study focuses on the cognitive aspects of flight training using emerging technologies. This research aims to improve training effectiveness by incorporating immersive technologies in aviation training. Dynamic real-time visualization, automatic human profile assessment, and training system adaption technologies can potentially improve flight training’s overall efficacy and efficiency. This digitization process includes various immersive virtual technologies and synthetic learning environments. By using these technologies, all persons participating in flight training will obtain a complete insight into the participants’ performance cognitive limitations, ultimately optimizing the training lifecycle.
Sense of technology self-efficacy and motivation coexisting with algorithmic thinking
Authors: Okkonen Jussi , Syvänen Antti , Laarni Jari , Viteli Jarmo , Wahlström Mikael , Laine Mia
Published: January 2024

Modern warfare presents the state of the art in technological advances. Even the most developed weapons and information systems are implemented the users and final decision makers are still human. There has been extensive discussion about contemporary skillset that is often drawn the components of digital literacy. In that context digital literacy is combination of technical skills to use technology, to interact with technology, and understand technology. It can be seen also as capability to understand different forms of information, algorithmic, computational, and epistemic thinking. Even the digital literacy framework applied is multi-faceted, it operationalises the perspectives of human performance with autonomous or semiautonomous systems. This paper discusses skillset needed to operate and operate with complex information driven systems. The aim is to construct a comprehensive way to assess capabilities among people in service to allocate the most suitable person to a post. The study is based on expert interviews and focus groups session on the topic. The presented competency framework and measures to assess different perspectives. Paper also discusses the practical application of the measurements and how items related to technology self-efficacy and motivation are related to algorithmic thinking.
Adaptive Visualization Framework for Human-Centric Data Interaction in Time-Critical Environments
Authors: Alexopoulos Andreas , Vanderdonckt Jean , Leiva Luis , Arapakis Ioannis , Vakalellis Michalis , Prevelakis Vassilis
Published: January 2024

In today's data-driven era, handling information overload in time-sensitive scenarios poses a significant challenge. Visualization is a valuable tool for comprehending vast amounts of data. However, it's crucial to have self-adapting visualizations that are tailored to the user's cognitive level and grow with their expertise. Existing solutions often fall short in this regard.This paper introduces a framework integrating Artificial Intelligence (AI) techniques for context awareness and emotion sensing, offering visualizations that adjust to user requirements. The framework makes use of cross-modal sensors and Machine Learning (ML) algorithms to analyse behavioural signals, usage statistics, and user feedback. This data guides real-time data ingestion techniques and ML-driven mechanisms, ensuring that visualizations adapt while safeguarding data privacy and confidentiality.
Design Methodology for Product Designers in the Context of Domestic 3D-Printing
Authors: Turbovich Zuk
Published: January 2024

The study examined the domestic use of desktop 3D printers, recognizing that this market is still in a developmental stage, which will impact the overall products market. The study's goal focused on providing a straightforward understanding of the field to benefit its promotion by tutors and current or future interested parties. The study examined several precedents for focusing the technology on home end-users and reviewed the current situation in the market. The primary research findings include an illustration of the value chain changes that connect design sources and end-users, a taxonomy matrix of product types in the market, and a design methodology aimed at efficiently reflecting the design process and its application. The proposed methodology is structured on the basis of frameworks of design methodologies reviewed as part of the study. It presents an updated structure that includes aspects unique to the field. The discussion chapter focused on summarizing the possibilities inherent to the field concerning different perspectives.
A Relationship Model between the Perceived Economic Value of Computer Operating Systems and their Usability: All Variables Evaluated by Copilot AI
Authors: K Y Chan Victor
Published: January 2024

This article proposes and implements a relationship model between the perceived economic value of computer operating systems (OSs) and their usability where all the model variables are evaluated by the generative artificial intelligence (AI) robot Copilot of Microsoft. In the underlying study, the perceived economic value of a particular OS was estimated by a proxy variable, namely, the OS’s total cost of ownership (TCO) whereas the usability of the OS was gauged by eight usability variables corresponding to the eight major usability dimensions (1) Effectiveness, (2) Efficiency, (3) Learnability, (4) Memorability, (5) Safety, (6) Utility, (7) Ergonomics, and (8) Accessibility. All these variables were evaluated on a scale of 1 (the lowest or worst, as appropriate) to 10 (the highest or best, as appropriate) by the robot Copilot based on global users’ textual comments on the TCO and the above eight dimensions of the OS as appear all around the web. A total of 18 OSs were covered in the modeling, they being the popular versions of the three leading OS families of Microsoft Windows, Apple macOS, and Linux. Multiple regression of the TCO on the eight usability variables was performed, followed by individual simple regression of the TCO on each of the eight usability variables in a bid to avert multicollinearity’s effect. On the one hand, the multiple regression rendered a model with a coefficient of determination R2 = .853 and an F-statistic = 8.290 (df = 7, 10; p = 0.002 < 0.01) and (2) Efficiency being the only usability variable statistically significantly (p < 0.05) but negatively impinging on the TCO. On the other hand, the individual simple regression models revealed that in an individual manner, (2) Efficiency (R2 = 0.562; F = 20.542 (df = 1, 16; p = .000)), (5) Safety (R2 = .547; F = 19.335 (df = 1, 16; p = .000)), (6) Utility (R2 = .392; F = 10.331 (df = 1, 16; p = .005)), and (7) Ergonomics (R2 = .253; F = 5.431 (df = 1, 16; p = .033)) all statistically significantly but negatively impacted the TCO. Deducing from these models, the better an OS in these four usability dimensions, the lower its economic value as perceived by the market was. In other words, the market of OSs did not seem to have priced in usability or seemed to have even priced in them in a direction at odds with intuition and logic. These confounding results may be ascribable to multicollinearity and probably imperfection of the current generative AI technology, on which this study heavily hinged. After all, the multiple regression model predicts and explains the TCO and thus the perceived economic value very well.
ReActIn: Infusing Human Feedback into Intermediate Prompting Steps of Large Language Model
Authors: Delaflor Rodrguez Manuel , Toxtli Carlos , Gendron Claire , Li Wangfan , Delgado Solorzano Cecilia
Published: January 2024

This paper introduces ReActIn, a framework designed to infuse human feedback into the intermediate prompting steps of large language models. The practicality and effectiveness of ReActIn are validated through experiments that apply four established prompting strategies, evaluated both with and without human feedback integration. The proposed architecture's performance is compared against traditional large language models across various tasks using four standard evaluation tests. Our findings reveal that the integration of human feedback has a direct impact on the reasoning, action prompting, and overall decision-making capabilities of the language models. This study underscores the potential of ReActIn to shape a future where sophisticated, context-aware AI systems, empowered by human feedback, can effectively navigate complex real-world scenarios.
STRENGTH ANALYSIS OF GGBS CEMENT WITH COCONUT FIBER
Authors:   Department of Civil Engineering, Singh Virendra , Mishra Ragini ,   Department of Civil Engineering
Published: January 2024

The infrastructure needs our country is increasing day by day & with Concrete is a main constituent of construction material in a significant portion of this infra-structural system, it is necessary to enhance its characteristics by means of strength & durability. When the cement is replaced with the GGBS, this GGBS provides the features like low heat of hydration, resistance to chemical attack, high compressive strength, better durability, and good workability and is also cost effective. This study shows the behaviour of GGBS based Concrete at the different molarity of NaOH like 4, 8, 10, 12, 14 etc and at different ratio of Na2SiO3/NaOH 0.5, 1, 1.5, and 2 respectively. This project work mainly focuses on advantages of GGBS as compared to the usage of cement and justification of certain properties like sustainability and durability. Study shows the hardened and gaining strength in Concrete in ambient temperature. To bring into focus the use of coconut fibers in Concrete and experimental program me was planned to study the material characteristics. The primary objective of this investigation is to study experimentally the properties of fibers. The properties of Concrete namely, compressive strength, were studied
Human Activity Recognition using Event-based Sensors
Authors:   Department Of CSE, Presidency University, S K Mr.LAKSHAMISHA
Published: January 2024

The developing universality of occasion-based sensors has prepared for cutting-edge Human Movement Acknowledgment (HAR) frameworks. Last year's project investigates the utilization of Convolutional Brain Organizations (CNN) to dissect information from occasion- based sensors for powerful and constant human movement acknowledgment. The undertaking means upgrading the exactness and productivity of existing HAR frameworks by utilizing the special abilities of occasion-based sensors. The venture examines the usage of Convolutional Brain Organizations (CNN) for Human Movement Acknowledgment (HAR) with occasion based sensors, intending to take advantage of the particular elements of these sensors. This examination tries to expand the accuracy and viability of HAR frameworks, especially in medical care, security, and brilliant conditions. Utilizing the CNN model, the task centers around extricating vigorous elements from sensor information, working with constant recognizable proof of assorted human exercises. By saddling the qualities of occasion based sensors and CNNs, the venture tries to add to progressions in action acknowledgment innovation, tending to basic requirements in different spaces and cultivating the combination of shrewd frameworks in unique, certifiable situations.
Emerging Trends in Green Supply Chain Management
Authors:   Rama University, Kanpur Uttar Pradesh, Dubey Shweta
Published: January 2024

The abstract on emerging trends in green supply chain management explores the evolving landscape of sustainable practices within supply chain operations. This paper examines key trends, including circular economy adoption, renewable energy integration, and the increasing role of technology in enhancing transparency and traceability. Additionally, the abstract delves into the growing importance of stakeholder collaboration, regulatory compliance, and the implementation of eco-friendly packaging solutions. By analyzing these emerging trends, the paper aims to provide valuable insights for businesses seeking to align their supply chain strategies with environmental sustainability goals. Keywords: sustainability, green supply chain, long term viability.
BIG DATA ANALYTICS: TO UNDERSTAND THE CHALLENGES
Authors: Journal IJSREM
Published: January 2024

The present contemporary age has been appropriately identified as ‘an era of uniform data or alsothe systematic monitoring of every citizen’s way of the communications channels or the actionsof the users through the use of the information technology. It is also the era that is called the eraof big data or also the processing of such huge and enormous amounts of information. These all-data sets can be easily looked upon or searched upon, can also have attached links to other data sets, and can be differentiated through their overall comprehensive reach and long-term collection. The only challenge that comes with big data is the privacy problems that come from boththe state and the non-state actors present. KEYWORDS Technology, Big Data, Analytics, Data, Artificial Intelligence, Privacy
OPTIMIZING EFFICIENT AND RELIABLE PACKET TRANSMISSION OVER WIRELESS NETWORKS
Authors:   SR University, Warangal-506371, Telangana, Swapna Bamuli , Mandala Suresh Kumar ,   SR University, Warangal-506371, Telangana
Published: January 2024

Wireless Networks are becoming an increasingly important technology that is bringing the world closer together. In this type of network environment there could be more chances of attacks. The packets cannot be easily transferred over the network. It affects network performance degrade. While eavesdropping and message injection can be prevented using cryptographic methods, jamming attacks are much harder to counter. They have been shown to actualize severe Denial-of- Service (DoS) attacks against networks. In Simplest form adversary blocks the packets that are transmitted over wireless network. Typically, jamming attacks has been considered under an external threat model, in which the jammer is not part of the network. To overcome the above problem of network traffic and performance in this paper we have considered a packet hiding methods that can be securely transmit packets over the network. We are addressing the problem of jamming attacks under internal threat model and two schemes are proposed that prevent real-time packet classification of packets by combining hiding scheme based on cryptographic primitives. Keywords: Selective Jamming, Denial-of-Service, Wireless Networks, Packet Classification.
Sedimentation Analysis of Ujani Dam
Authors:   Civil Engineering Department & BIGCE,Solapur, Tupe Rahul R , Yadiyapur Prof.Rashmi S ,   Civil Engineering Department & BIGCE,Solapur
Published: January 2024

Abstract -The sedimentation is an effect of erosion on the catchment area of the reservoir and therefore, lesser the rate of erosion, smaller is the sediment load coming into the reservoir. Deposition of sedimentation in the reservoir moderately reduces the capacity of the reservoir. Both Dead storage capacity & live storage capacity gets affected due to sedimentation. Information about reduction in the storage capacity is important for the planning and operational purposes and the same can be obtained by sediment assessment surveys done at regular intervals. Various factors affect the process of erosion, transport and deposition of sediment in the reservoir. Type of soil, drainage density, vegetation, rainfall intensity and duration, shape of catchment and land use / land cover affect erosion. Sediment transportation totally depends upon slope of the catchment, channel geometry and nature of river bank and bed. Deposition is a function of bed slope of the reservoir, length of reservoir, flow patterns, inflow-outflow rates, grain size distribution, mode of reservoir operation etc Key Words: Ujani Dam, Sedimentation, Remote sensing
A Comparative Study of Financial Report of SBI and ICICI Bank
Authors:   MASTERS OF MANAGEMENT STUDIES & Alamuri Ratnamala Institute of  Engineering and Technology (ARMIET), Rank Padhi Mr.Vijaykumar , Akolkar Prof.Rameshwari , Kshirsagar Dr.Ashwini
Published: January 2024

This research paper conducts a comprehensive comparative analysis of the financial reports of two prominent banks in India, namely the State Bank of India (SBI) and ICICI Bank. The study aims to provide insights into the financial performance, stability, and strategic positions of these banks, shedding light on their respective strengths and weaknesses. The research methodology involves an in-depth examination of the annual financial reports, including balance sheets, income statements, and cash flow statements, over a specific period. Various financial ratios, such as liquidity ratios, solvency ratios, and profitability ratios, are employed to evaluate the financial health of both SBI and ICICI Bank. The paper delves into the historical context and evolution of both banks, highlighting their distinct roles in shaping India's banking landscape. It explores how SBI, being a public sector bank, differs from ICICI Bank, which operates in the private sector, in terms of governance, policies, and market strategies. Furthermore, the study analyzes the impact of economic and regulatory changes on the financial performance of SBI and ICICI Bank. This includes an examination of their responses to challenges such as economic downturns, changes in interest rates, and regulatory reforms. The comparative study extends beyond financial metrics, considering the banks' technological advancements, customer service initiatives, and overall market positioning. Additionally, the paper discusses the banks' contributions to the socio- economic development of India and their roles in promoting financial inclusion.
Implementation of School-Based Management at SD GMIM KOHA
Authors: Walewangko Gloria Ester Verelin , Lengkong Jeffry Sony Junus , Usoh Elni Jeini
Published: January 2024

This study aims to explore the implementation of school-based management in GMIM Ko Elementary School. The main focus of this study is the role played by school principals, school committees, and education commissions in managing and improving the quality of education in those schools. This study used a qualitative approach by adopting Miles and Huberman data analysis techniques. The data collection method involved in-depth interviews with principals, school committee members, and education commission members. Direct observation is also conducted to understand the dynamics of interaction between the three parties in the context of decision making and implementation of school-based management programs. The results of the study are expected to provide a clear picture of how principals, school committees and education commissions collaborate to achieve school-based management goals at GMIM Ko Elementary School. The implications of these research findings can be used as a basis for improving school-based management policies and practices in similar schools as well as contributing to the literature on the implementation of school-based management. Based on the results of the study revealed differences in understanding of the concept of School Based Management among school principals, education committees and education commissions. School principals focus more independently on managing resources, while education committees and commissions emphasize comprehensive management. This incomprehension can hinder SBM implementation, so training and modules are needed to improve understanding of concepts. Regarding the role of the principal, it is necessary to improve as educators, supervisors, and managers involving all stackholders. School committees need a greater focus on academic programs, while education committees play an important role as mediators and patrons of school ptograms. Obstacles to SBM implementation involve coordination constraints, lack of effective communication and busy stakeholders. Solutions include improved communication, understanding of roles and a culture of cooperation. The principal's proactive strategy with direct monitoring, limited consultation, efficient communication and quick decision making, plays a vital role in ensuring the effectiveness of SBM. This approach demonstrates pragmatism and flexibility in managing resources to achieve school goals.
“New Wine in Old Bottles”: Ethical Literary Criticism, Adaptations and Angela Carter’s Little Red Riding Hood
Authors: Peng Anqi , Chen Xi
Published: January 2024

This paper reexamines the classic fairy tale “Little Red Riding Hood” and, in conjunction with Angela Carter's adaptations, “The Werewolf”, “The Company of Wolves”, and “Wolf-Alice”, reimagining and analyzing the story from the perspective of literary ethics. Both the original version of “Little Red Riding Hood” and Carter’s adaptations exhibit strong ethical consciousness. Carter’s artistic creation is deeply influenced by European traditional fairy tales in many aspects. The tragic endings of “Little Red Riding Hood” and Carter’s adapted version, “The Company of Wolves”, symbolize the disruption of ethical order. In both versions, the breakdown of ethical order is a result of violating ethical taboos, usurping ethical identities, and allowing free will to dominate, disregarding rational will. The conclusions of these two ethical tragedies serve as a warning to people: any violation of ethical taboos, trespassing on identity, and disruption of ethical order will bring punishment. Meanwhile, Carter’s adapted versions also illustrate the artistic charm and value of tragedy, as well as the practical significance of upholding ethical order. The paper analyzes key themes such as gender, power, morality, and self-awareness in the adaptation and explores how these themes can be reinterpreted through literature, placing the story in a contemporary context to enhance its relevance.
A Minimalist Account of Free Relative Clauses in Zahrani Spoken Arabic
Authors: AlQurashi Issa , Alzahrani Salih
Published: January 2024

This paper explores the syntax of free relative clauses in Zahrani Spoken Arabic (henceforth ZSA). The paper shows that ZSA possesses two types of free relative clauses, viz., nominal free relative clauses and adverbial free relative clauses. The focus of the paper is on nominal free relative clauses. It is shown that nominal free relative clauses can appear in a subject position and a direct object position, and the range of relativization involves subject, direct object, indirect object, prepositional object and possessor relativization. The derivation of free relatives in ZSA involves resumption relativization strategy only where gaps are treated as null resumptive pronouns. As for distribution of null and overt resumptive clitics, there is an alternation between the use of null and overt resumptive pronouns/clitics in subject and direct object position. However, the utilization of overt resumptive pronouns/clitics is mandatory in indirect object, prepositional object and possessor position. It is argued that the free relative markers illi: and mi:n are complementizers. Furthermore, as null and overt resumptive clitics exhibit a big resemblance with respect to their behaviour in the coordinate structures and parasitic gaps, both free relatives with null or resumptive pronouns/clitics involve a null operator movement (in non-island contexts) from inside the free relative clause to the specifier of a complementizer phrase (spec CP). The CP is adjoined to a null antecedent occupying the head of a noun phrase (NP) which is a complement of a determiner phrase (DP) with an empty D.
Study on Cultural Hegemony Infiltrated in Kung Fu Panda from Orientalism Perspective
Authors: Zhou Yuechen
Published: January 2024

Edward Said holds that Orientalism essentially explains the power relation between the West and the East in which the former controls the latter with hegemony. Hollywood films, the symbol of American culture, play an indispensable role in promoting American cultural values and ideologies, but the images of non-western countries are often distorted in them. Thus gradually, the East is marginalized and the gap between the image of the East and the West becomes difficult to bridge. This paper is a study of the cultural hegemony infiltrated in Kung Fu Panda which is permeated with both Chinese and American cultural elements.
The Development of a Task-Based Chinese Speaking Instructional Model for Chinese as a Foreign Language Learners in Thailand
Authors: Dai Zhiyong , Thipatdee Goachagorn , Metjiranont Metcha
Published: January 2024

This research aimed to (1) develop a task-based Chinese speaking (TBCS) instructional model to enhance the Chinese speaking skills of beginner-level Thai learners studying Chinese as a foreign language (CFL), (2) implement the developed TBCS instructional model with beginner-level Thai CFL learners for refinement, and (3) evaluate the suitability of the developed model by seeking experts’ opinions. The participants of this research included 5 experts specialized in instructional model design and teaching Chinese as a foreign language, as well as 22 beginner-level Thai CFL learners enrolled in a Chinese program at a public high school in Thailand. Research instruments included the TBCS instructional model with 12 lesson plans and the expert evaluation form. The collected data were analyzed by using mean, standard deviation, and percentage. The research findings revealed that (1) the developed TBCS instructional model consisted of 7 key elements: goals and assumptions, teaching procedures, learning environment, principles and reactions, support system, application, and instructional and nurturant effects, with the teaching procedures comprising of 4 major steps: activate prior experience, build language skills, carry out tasks, and deepen understanding, (2) the students had successful speaking performance after studying through the developed model, and (3) the suitability of the developed TBCS instructional model was evaluated by experts at the highest level.
Development of Reading Skills for Thai Grade 1 Students Through Smart Training Application Innovation
Authors: Thanavanitchayakul Sirisuda , Srichok Patcharee
Published: January 2024

This research aimed to create a smart training application innovation to develop Thai language reading skills for Thai grade 1 students, targeting an efficiency standard of 80/80. The study compared the reading abilities of Thai grade 1 students before and after using the application. These students were from the Network School of the Teacher Professional Experience Center, Faculty of Education, Loei Rajabhat University. Specifically, 13 students from Ban Na Si School were selected using purposive random sampling for the first semester of the academic year 2023. This school was intentionally selected due to its eagerness to implement this innovative approach. The study utilized two versions of the smart training application: one focused on words without tone marks and the other on consonant blend words. Four lesson plans were designed (two for each version), and a 20-question reading achievement test was administered. Through the E1/E2 value calculation and a t-test, it was deduced that the application surpassed the 80/80 efficiency standard, scoring 81.15/86.15. Furthermore, students exhibited a significant improvement in their reading skills after using the application, as evidenced by a higher post-study performance at a 0.05 significance level.
The Role of Corporate Social Responsibility and Emotional Intelligence Towards Effective Management: Empirical Evidence from Saudi Arabia
Authors: Alhumoudi Hamad , Alfarhan Khalid
Published: January 2024

In today’s fast-paced business world, companies are experiencing rapid changes and fierce competition, where Social and Environmental Responsibility needs to be prioritized for good management practices. Corporate Social Responsibility (CSR) and Emotional Intelligence (EI) have become increasingly important in management. However, there is a shortage of research that scientifically explores how these two elements interact, particularly within Saudi Arabia’s private corporate sector. To fill the gap, this research aims to examine the relationship between CSR, EI and effective management in the private corporate sector and its impact on organizational performance, on any possible mediating or moderating factors. An online survey with 200 respondents (employers and managers of the business sector) was conducted and analyzed using SPSS along with factor analysis to extract latent factors from the observed variables. The findings revealed that both EI and CSR have a significant positive impact on effective management. At the same time, CSR and EI emerged as stronger predictor of effective management. These results highlight the importance of fostering EI and integrating CSR initiatives to enhance managerial effectiveness in organizations, leading to long-term sustainability with a positive impact on the community.
Investigating Machine Translation Errors in Rendering English Literary Texts into Arabic
Authors: Tahseen Wesam Mohsen , Hussein Shifa'a Hadi
Published: January 2024

Machine translation is a machine that employs artificial intelligence (AI) to translate texts between languages without human intervention. Machine translation approaches translate text or speech from one language to another, including the contextual, idiomatic and pragmatic issues of both different languages. The present study aims to analyze the translation of literary texts selected from different novels, plays, and poems and clarify the method for translating them from English into Arabic. This study also aims to discover machine translation errors in rendering English literary texts and clarify the translator's role in transferring the rhetorical impact on the reader who reads the (TT). This study hypothesizes that translators(students) face difficulties regarding words and structures when translating literary texts from English into Arabic because they misunderstand rhetorical devices. So they tend to use machine translations that translate literally, such as (Google Translate, Reverso translation and Bing Microsoft translation). This study adopted two models: First, Newmark's translation model (1988b), which includes two basic types of translation: semantic and communicative. This model is used widely in the analysis of literary texts. Second, Harris (2018) linguistic model theory of rhetorical question and the general purpose of the rhetorical devices to analyze the data. Finally, the study ends with the conclusions that all machine translation programs (Google Translate (GT), Reverso Translation (Reverso. T), Bing Microsoft Translation (Bing. M.T) in rendering English literary texts from English into Arabic are unacceptable and have more problems because these programs are just machines and cannot think or feel as well as all these machines renderings are meaningless and ambiguous. So Human translation is better than Machine Translation because the first uses communicative translation while the other uses semantic translation.
Effect of Planting Dates on Qualitative Traits of Wheat (Triticum aestivum L.) Varieties
Authors: Al-mafraji Iqtdar Khudair , Jumaa Salah Hameed , Mohammed Abdullah Hassn
Published: January 2024

A field experiment was carried out during the winter season 2022-2023 at the research station of the Field Crops Department, College of Agriculture, Tikrit University to study the effect of planting dates on the qualitative characteristics of each of the cultivated varieties to determine the best planting date for each variety and to find the best combination between (varieties x planting dates). The experiment was applied using the Split Plot Design method using a Randomized Complete Block Design (R.C.B.D) with three replications. Main plots included planting dates (Oct. 5, Oct. 25, Nov. 15, Dec. 5, Dec. 25) while sub-plots included wheat varieties (Ibaa99, Al-Rashid, Al-Baraka, Sham6, Tammuz2, Al-Hashimiyah, Al-Nour and Al-Adnaniyah). The results showed a significant effect of the variety treatments on all studied qualitative traits. Tammuz 2 variety was superior in the protein percentage and sedimentation volume (12.32% and 30.03 ml), respectively, Sham6 variety was superior in the wet and dry gluten percentage (36.64 and 12.30%, respectively), while Ibaa99 variety was superior in the ash and flour moisture percentage (1.91 and 9.60%, respectively). Planting date treatments had a significant effect on the qualitative characteristics of wheat varieties. Planting date treatment of Dec. 25 was superior by giving the best results for the protein percentage (12.05%), wet and dry gluten percentage (35.85 and 11.97%, respectively), ash percentage (1.76%), and sedimentation volume (28.92 ml). Also, the interaction between (varieties x planting dates) had a significant impact on the qualitative traits studied, the interaction treatment of (Tammuz2 x Dec. 25) was superior by giving the best results for the protein percentage (12.76%), the interaction of (Sham6 x Dec. 25) was superior in wet and dry gluten percentages (38.96 and 12.93%, respectively),  and the interaction of (Ibaa99 x Nov. 15, Dec. 5 and Dec. 25) gave the highest values of ash percentage (1.96%), sedimentation volume (35.53ml) and flour moisture percentage (9.96%), respectively.