bluuebunny/crossref_metadata_2025 huggingface dataset:
Participation versus scale: Tensions in the practical demands on participatory AI
Authors: Young Meg , Ehsan Upol , Singh Ranjit , Tafesse Emnet , Gilman Michele , Harrington Christina , Metcalf Jacob
Published: April 2024

Ongoing calls from academic and civil society groups and regulatory demands for the central role of affected communities in development, evaluation, and deployment of artificial intelligence systems have created the conditions for an incipient “participatory turn” in AI. This turn encompasses a wide number of approaches — from legal requirements for consultation with civil society groups and community input in impact assessments, to methods for inclusive data labeling and co-design. However, more work remains in adapting the methods of participation to the scale of commercial AI. In this paper, we highlight the tensions between the localized engagement of community-based participatory methods, and the globalized operation of commercial AI systems. Namely, the scales of commercial AI and participatory methods tend to differ along the fault lines of (1) centralized to distributed development; (2) calculable to self-identified publics; and (3) instrumental to intrinsic perceptions of the value of public input. However, a close look at these differences in scale demonstrates that these tensions are not irresolvable but contingent. We note that beyond its reference to the size of any given system, scale serves as a measure of the infrastructural investments needed to extend a system across contexts. To scale for a more participatory AI, we argue that these same tensions become opportunities for intervention by offering case studies that illustrate how infrastructural investments have supported participation in AI design and governance. Just as scaling commercial AI has required significant investments, we argue that scaling participation accordingly will require the creation of infrastructure dedicated to the practical dimension of achieving the participatory tradition’s commitment to shifting power.
Role of Emotional Intelligence in Students’ Learning at Secondary Level
Authors: Bagum Munwar , Akram Maria , Abbas Aamir , Hussain Riaz
Published: April 2024

Current study was to examine role of emotional intelligence of a child for students’ learning at secondary School level. 1) Determine how emotional intelligence affects secondary school students' learning; this was the study's main goal. 2) Investigate the connection between secondary residents' academic achievement and emotional intelligence, taking into account demographic factors such as geography and gender. 3) To compare educational attainment and emotional intelligence between private and public secondary schools. 4) For pupils studying science, arts and contrast emotional intelligence with secondary education. This Correlational descriptive study examined emotional intelligence and student learning as two separate factors. There was one inventory i.e., Emotional Quotient Inventory (EQI) (5-point likert scale) with consistency (Cronbach’s Alpha 0.96). This study was conducted at MULTAN district at secondary level. 3379 students were selected as sample from public and private schools, with 1763 males and 1616 females and selected schools were surveyed to collect the data. After data collection, the data has been analyzed and main interpretation has been made from the data analysis. The statistics showed that students who did well had a high mean value, whereas those who fared poorly had a low mean value. The findings imply that in attendance is a link among emotional intelligence and academic achievement between students. Furthermore, it has been found that, independent of a student's gender or place of residence, their emotional intelligence is intrinsically linked to their academic success. But private schools have more mean value as compare to public schools which means that private schools have increased the emotional intelligence level for effective learning. It is also concluded that science students have high mean value which means selection of subject also influence directly the emotional intelligence for effective learning. This suggests that teenagers' emotional intelligence has a major impact on their high school academic achievement. It is advisable to consider incorporating extracurricular activities and programs designed to improve the emotional intelligence of adolescents. Also there must be such curriculum be arranged which create not only learning environment and build up the sense of academic achievements, but social interaction, career development, and emotionally stability.
Association between Work Environment, Work-Family Conflict and Employees’ Turnover Intention through Moderation of Job Experience in Commercial Banking Sector
Authors: Bhayo Abdul Razaque , Shah Naimatullah , Mangi Aftab Ahmed
Published: April 2024

This study investigated the association between work environments, work family conflict and employee’s turnover intention through moderation of job experience in the commercial banking sector. Intention to leave is an important issue in Pakistan's private sector and is evaluated by management science using a variety of criteria to determine the fundamental cause of employee decision-making. This is quantitative study. It followed convenience sampling techniques and designed sample size on the basis of Krejcie and Morgan, (1970) Questionnaire was distributed in 500 and returned questionnaires were 398. Survey was conducted through questionnaire, and it was comprised of five-point Likert scale. This study followed social exchange theory because it details with human behavior, it is said if right behavior is predicted than conflict can be easily resolved. Many theories, models, and frameworks have been used in the private sector to assess several aspects of employee turnover intention. Findings revealed that significant and positive relationship among the work environment & turnover intentions. Work- family conflict has positive & significant association with employee’s turnover intention. Despite that association between job experience and turnover intention was strongly negative relation. This study concluded that employee turnover intention is a major issue in Pakistan's private sector and that it is a key component of management science, which is evaluated using a variety of factors to understand the fundamental process by which employees to make a decision to leave an organization.
Political Instability Causes & Affects
Authors: Rashid Zarina , Rashid Shahir
Published: April 2024

This article investigates the relationship between political instability and economic growth. We define “political instability” as the propensity of a government collapse, and we argues in which political instability and economic growth are interdependent to each other. The main result of this article is that in countries and as well as in Pakistan time periods with a high propensity of government collapse, growth is significantly lower as otherwise. This effect remains strong and shows consequences of political instability to socio-economic policies, unequal distribution of wealth, corruption, unemployment, poverty, mental and physical health, internal external terrorism and poor family leadership.” This article explores the complex link between political instability and economic growth, emphasizing the definition of "political instability" as the propensity for the dissolution of the government. The central theme of our argument is the relationship between economic expansion and political instability. This study's main conclusion is that, in nations—Pakistan being one prominent example eras marked by a higher risk of political collapse tend to have far slower rates of economic growth than periods marked by greater stability. This research reveals the profound effects of political instability on socio-economic policies, highlighting its long-lasting influence. The consequences are multifaceted, including uneven economic distribution, widespread corruption, prolonged joblessness, high rates of poverty, and negative impacts on mental and physical health. Moreover, political unrest has a significant impact on the incidence of both domestic and foreign terrorism, making security issues worse in impacted areas. Additionally, the study clarifies how political instability undermines the authority of families and shatters the foundation of social systems. This paper offers a thorough examination of the complex effects of political instability, shedding light on how it affects numerous socioeconomic indicators and economic growth. Comprehending these processes is of paramount importance for policymakers, scholars, and international leaders who aim to tackle the obstacles presented by political instability and promote stable, robust communities.
Effectiveness of AI Integration into Computer-Assisted Language Learning (CALL) on Student Writing Skills Based on Gender
Authors: Fazal Namra , Tahir Muhammad Shoaib , Chaudhary Mahnoor , Abbasi Minahil
Published: April 2024

This research has evaluated the efficacy of AI in CALL to improve writing among students by gender. The analysis involved a literature review on how AI and processing have made an impact on writing and it’s utilized to augment writing of the English language learners. It has reviewed an inspection of how educational technology affects men and women disparately. The result proved that integrating AI in technology enhances writing quality of language learners, regardless of their sex. It has exposed the nitty-gritty of gender, technology use and its effectiveness. It stipulates that in the imbuing of CALL on the basis of student demographics, gender-tailored approaches are essential. Moreover, policies and interventions in CALL, need to accommodate gender discrepancies to allow for maximum effectiveness. It is also crucial to delve more deeply into the after-effects of AI infused CALL over time, such as constructing intervention tools attuned with genders. Also, inspecting the fine-tuned effects of integrating AI on student writing, over longer periods would yield insights, into fashioning optimal CALL strategies, suited to learner populations.
Discipline in Education, and its relationship with Students’ Academic Achievement at University Level
Authors: Munir Hina , Iqbal Maria , Munawar Uzma
Published: April 2024

The purpose of the research was to know the relationship of discipline in education and students’ academic achievement at university level. The study’s population of concern included all social sciences students from two universities in Multan district (Bahauddin Zakariya University and The Women University). Sample of the study was consisted of 300 students. Just the students of social sciences was selected from these universities, and 25 students were chosen from each department. Questionnaire was developed for students which contains 26 items and five point likert was used for scoring. Data were entered on SPSS sheet after the completion of data collection. Various statistical methods were applied to obtain the findings about the student’s reactions like percentage, mean, frequency and standard deviation was used to apply and examine the relationship of discipline in education with student academic achievement. After complete analysis of data it was found that the majority of the participants believe that discipline in education helps student’s to complete their assignments on time, arrive on time for class and participates in every class discussions.
Exploring the Role of the Criminal Justice System in Combating Human Trafficking in Pakistan
Authors: Baig Khurram , Qasim Maryam , Akhtar Rehman , Yousaf Anila
Published: April 2024

This research article examines the multifaceted phenomenon of human trafficking within the context of Pakistan's criminal justice system. The phenomenon of human trafficking, in conjunction with associated concerns such as human smuggling and unauthorized migration, poses a multifaceted dilemma influenced by a range of socio-economic factors. The research investigates the complexities of human trafficking, examining its conceptualizations, expressions, and fundamental origins. Considerable emphasis is placed on the involvement of the criminal justice system in tackling the issue of human trafficking, encompassing activities such as prosecution, victim assistance, and preventive measures. This study critically examines the efficacy of Pakistan's criminal justice system in addressing the issue of human trafficking, drawing upon relevant scholarly literature and empirical research. Furthermore, the study underscores the significance of global cooperation and collaboration in addressing this transnational criminal activity. In the conclusion section, the author underscores the need for comprehensive approaches that prioritize victim protection, legal enforcement, and addressing root causes to effectively combat human trafficking in Pakistan and beyond.
The Psychological Effects of the Administration of Psychedelics on the Minds of Healthy Individuals: A Systematic Review
Authors: Idrees Sumayyah , Batool Ayesha , Ahsan Sehrish , Rehman Jalil
Published: April 2024

The systematic review aims to integrate the findings of the past 3 years of literature on the phenomenological effects of classical psychedelics on healthy individuals. To ensure a strategic method to review the literature was adopted, guidelines given by Sumaya Laher & Tasneem Hassem were opted for (Laher & Hassem, 2020). For the search strategy, the Sample, Phenomenon of Interest, Design, Evaluation, and Research (SPIDER) method was used to construe keywords for searching relevant literature in PubMed, and Google Scholar. Analysis of the final 4 papers was conducted using the thematic synthesis technique (Thomas & Harden, 2008) and a total of 3 main themes were discovered. The first main theme was “Modes of Communication” in which the participants sensed the presence of other entities. This theme is also further divided into three sub-themes called “Intuitive or Telepathic”, “Explicit or Verbal” and “Kinesthetic”. The second major theme is called the “Mystical-type Experiences” in which the participants experienced amazement and were left in complete awe of the world. This theme further divides into two sub-themes “Euphoria” and “Unpleasant Experiences”. The next main theme was “Inter-relational Purposes of Entities”. This theme encompasses the relationship between participants and the psychedelic-induced characters of their imagination divided into four sub-themes in this theme which are named “Friendly and Nurturing”, “Presenting”, “Jestful and Manipulating” and “Formidable and Intimidating.” The study will put the short and long-term effects of these drugs into the consideration of the research community.
Nehru Report and a Shift into Muslims Politics in India: The Evolution of Muslim Nationalism
Authors: Haider Zulqarnain
Published: April 2024

Muslims of the sub-continent had been living together for centuries. However, the arrival of the British totally changed the political landscape of the united India. Due to unfavorable and drastic policies of Britain disrupted the political and cultural strata of the Indians. The outbreak of war of independence in 1857 revealed some strict segments from the side of British. Different constitutional measures were taken to run the administrative set up of the India. The Nehru Report of 1928 marked a significant milestone in India’s constitutional history, proposing self-governance within the British Empire. However, its centralized structure and lack of safeguards for minority rights drew criticism, particularly from the Muslim leadership. The study examined the Nehru Report its salient features and what were the response of the Muslims of India and which strategies were adopted to shift the trends of Muslims politics in India at time when report burst a cloud of criticism from the Muslims. Qualitative method of study has been adopted to carry out this research to its final edge. Primary and secondary sources have been used in this research paper.
Gosprom Ensemble in Kharkiv and the Concept of Modern Style
Authors: Shilo Alexander V
Published: April 2024

The ideologists of Constructivism and “production art” of the 1920s put forward the slogan “not style, but method!”. However, the Constructivists-“productionists” movement carried a stylistic charge of great power. The intentions of the Constructivists-“productionists”, their manifestos and slogans are polemically pointed evidence of their awareness of their own place in the Soviet culture of the 1920s. Creative practice continued the development of a certain artistic tradition. It is necessary to reconstruct the development of the problem of style in the concept of “productionists” as a natural and historically determined stage of the movement. The manifestation of the rejection of the idea of style in artistic creativity in the concept of “production art” paradoxically corresponds to its specific conditions in setting the task of creating and identifying the mechanism for the development of modern style. They are analyzed in the article.The “anti-stylistic” orientation of “production art” was paradoxically opposed to the orientation towards a “Constructivist style”. In the late 1920s, it covered a wide range of architects and artists who did not belong to the Constructivist movement and who opposed them. In this regard, the fate of several outstanding monuments of the Modern Movement in the architecture of Kharkiv is indicative — the House of State Industry (Gosprom), the House of Projects and the House of Cooperation. They were the largest and most integral ensemble in their architectural and compositional solution, which embodied the ideas of the Modern Movement in Soviet architecture. The reconstruction of the ensemble after the Great Patriotic War (1941-1945) showed the contradictions that were embedded in the Constructivist concept of the modern style. The duality of understanding the art form in it was revealed. On the one hand, it acted as an independent stylistic entity. On the other hand, it could also be considered as a framework, a “draft” of some further work with the form. The concept of modern style defended by the “productionists” was problematized by the practice of “Constructivist stylizations”.
Mono-Functional Housing and Changing Concepts in Kharkiv Residential Architecture during the Capital Period
Authors: Didenko Kateryna
Published: April 2024

In the 1920s - 1930s in Kharkiv, at that time the capital of Soviet Ukraine, two main programs of city development were implemented - the creation of a new metropolitan center and the development of the industrial complex. Within the framework of these programs there was an evolution of Kharkiv’s housing infrastructure, which developed largely in connection with the leading Western social concepts of architectural and urban planning practice: garden city, house-commune, residential combine and socialist city. However, in addition to these concepts that replaced each other, there was also a parallel design of “mono-functional” housing, which is an integral, important and significant component of the avant-garde architecture of Kharkiv. It was built both within the framework of the program of the creation of the capital center and within the framework of the program of development of the industrial complex. It is unfair that such housing, as a rule, is in the shadow of more vivid and radical typological avant-garde solutions and is insufficiently described. The method of systematization and analysis of literary and documentary sources was applied. In the context of Russian aggression and its unfolding of a full-scale war against Ukraine since 24 February 2022, the architectural heritage of Kharkiv, as well as the heritage of other cities of Ukraine, is under constant threat of destruction. In this regard, the documentation and introduction of undeservedly forgotten “mono-functional” residential buildings into the international scientific community is extremely relevant. The article begins to document mono-functional housing built in the 1920s-1930s, and discusses in detail several examples: Chervonyi Knygar, Slovo and Komunar.
Innovatory Kharkiv Mass Housing Estates in Urban Planning of the 1960s-1980s
Authors: Antonenko Nadiia
Published: April 2024

The destructions of the Russo-Ukrainian war are leading to a rapid loss of cultural heritage in Ukraine, including contemporary 20th century monuments in Kharkiv, the cradle of Ukrainian modernism. At the greatest risk are the sites, which were complex and not well understood heritage before the war - mass housing estates of 1960s-1980s. In view of the postwar reconstruction, there is a great need to analyze mass housing estates in Kharkiv as potential objects of preservation. The purpose of this article is to reveal the architectural and historical value of the first Kharkiv mass housing estates in terms of their innovation, which might be the basis for further preservation steps. The article focuses on the three earliest areas of mass housing estates of the city - Pavlovo Pole, Novi Budynky and Saltovsky mass housing, which were designed and built during the period of the transition to rapid and large-scale pre-fabricated industry in the late 1950s - early 1960s. It is namely during the design and construction of these estates that innovatory technologies and approaches were developed and tested, which were later used in the construction of new housing estates both in Kharkiv and in other cities of Ukraine. These innovations included the system of microdistricts, the staggered system of services for the population, and the method of focusing in urban planning. The creation of a number of standard series of pioneering residential buildings for mass industrial development by the “Kharkovproject” and “Ukrmistostroyproject” design institutes. The study is based on the reconstruction of the historical chronology of design work of 1960’s - 1980’s in the history of Ukrainian city planning; a comparative analysis of the first-erected housing estates, and the definition of the unique solutions of Kharkiv city planners that were implemented in the development of the first housing estates in Kharkiv.
A Study of the Kharkiv Architectural Avant-Garde
Authors: Cherkasova Kateryna , Chagovets Olesya
Published: April 2024

The article addresses the issue of preserving Kharkiv’s architectural heritage from the first third of the 20th century. The main focus is on the preservation of authenticity of the early modernist heritage in the context of a crisis situation associated with the overall state of heritage preservation in Ukraine and during active military operations. The research was conducted in the context of the planning development and spatial structure of the Kharkiv historical center and suburbs, where new workers’ settlements were formed, as well as considering the architectural layers within the structure of historical districts of Kharkiv. The main objective of the study is to determine the value and authenticity of the architectural heritage of early modernism. The study employed the methods of historical, retrospective, and comprehensive analysis. The general plan of the “Socialist Reconstruction of Kharkiv” from 1931-1933 and the historical-architectural reference plan of Kharkiv from 2019 were analysed as additional sources. The research results provide comprehensive information about the architectural and urban heritage of this period and emphasize the attention to the issue of preservation of authenticity. The conclusions of this work will serve as a basis for further development of specific measures for the conservation, restoration, and preservation of historical monuments in Kharkiv from the first third of the 20th century. The research will also contribute to raising public awareness about the value of early modernist architectural heritage and encourage the implementation of restoration programs to preserve these important landmarks.
The Role of City Partnerships in the Reconstruction of Ukraine
Authors: Schruoffeneger Oliver
Published: April 2024

In 2015, there were around 80 city partnerships between Germany and Ukraine. In addition to the major partnerships between Berlin, Munich, and Leipzig with Kyiv or Berlin and Nuremberg with Kharkiv1, these were mostly partnerships between smaller municipalities with fewer than 50,000 inhabitants. Many of these partnerships were very old and had their basis in the old structures between the Soviet Union and the former Germand Democratic Republic (GDR). Only a few new partnerships were formed after the fall of the Berlin Wall and Ukraine’s independence in 1991. Others resulted from the old peace movement in the West, which organized active support after the Chornobyl accident with vacation stays for Ukrainian children in Germany in conjunction with direct humanitarian and medical support.
Blood is Thicker than Water: A Genealogy of Water in Nation-State Building
Authors: Ramanujan Shaurir
Published: April 2024

This work explores the multifaceted relationship between India and Pakistan, starting with India’s very recent decision to renegotiate the terms of the Indus Waters Treaty of 1960 between the two countries. This treaty, considered to be a time-tested hallmark of peace on the Indian subcontinent, is particularly heralded by mediators like the World Bank. This desire for peace is confronted with the reality of border skirmishes and conflicts over Kashmir, a state through which the Indus River flows. Accordingly, I interrogate the interactions between various political actors over the Indus Waters themselves, specifically focusing on partition and the subsequent period that led up to the signing of the Indus Waters Treaty. This piece seeks to understand the role of nature in cohering international, national and subnational identity. Specifically, I focus on the two countries’ historical conflicts over water as well as sovereign claims to water in Punjab and Jammu and Kashmir, which are regions that must balance domestic priorities with the looming national interests of India and Pakistan. By linking water to the economic, cultural, and social language that comprises political imagination and identity, I hope to reveal new insights about how the relationship between nature and humanity has transformed from mutual cooperation to one of commodification and displacement.
Between Death and Rebirth: Visual and Religious Intermediates in Chinese Ten Kings of Hell Paintings
Authors: Tang Sarah
Published: April 2024

In some schools of Chinese Buddhism, it was believed that after death, the deceased passed through the courts of the Ten Kings of Hell before being reborn. Paintings depicting this theme act as manifestations of the kings’ courts, instilling fear in the viewer through their vivid depictions of the king as a judge overseeing the torture of the deceased. Existing scholarship on the Ten Kings focuses on the iconography and style of Tang (618-907) and Song (960-1279) dynasty examples, emphasizing a compositional evolution from the iconographic and narrative, scripture-based modes, to the hanging scroll format, where each king is represented in his own court. However, limited surviving paintings from the Ming dynasty (1368-1644) leave a gap in the understanding of the Ten Kings and Buddhist hell during this time period.

Using a five Ming dynasty Ten Kings of Hell scrolls at the Harvard Art Museums, I argue that religious contexts, visual characteristics, and intermedial references within these paintings embody the notion of the intermediate. Hell in Chinese Buddhism is a state of intermediate existence; I first discuss the ritual contexts and religious iconographies of these paintings as visualizing the passage between death and rebirth. Next, I analyze the visual and stylistic characteristics of the Harvard set, assessing how pictorial motifs are arranged and recycled throughout the set in a formula that allows the paintings to convey the notion of a liminal, intermediate space. Finally, I discuss how the pigments in the Harvard set perform reference textiles and decorative arts of the Ming dynasty; these period-specific references mediate the experience of the viewer by creating a convincing and comprehensible vision of hell.
ADDITIVE MANUFACTURING OF FLUOROELASTOMER LATEX: A DIRECT-INK-WRITING APPROACH
Authors: Kamath Sarath Suresh , Choi Jae-Won
Published: April 2024

Fluoroelastomers (FKM) are beneficial materials with desirable properties such as resistance to chemical environments, aging, fluid, and high temperatures. However, FKM processing is restricted to the use of conventional tooling equipment to produce goods, in which energy-intensive procedures including mixing, shaping, and vulcanization are a part of manufacturing. These processes are carbon intensive because the primary energy source is fossil fuels. Our strategy is predicated on using additive manufacturing (AM) as a tool-less manufacturing process exhibiting customizability, flexibility, and sustainability. AM machines consume energy only while building objects in contrast to energy-intensive machinery. Thus, our plan of action is to combine AM with a newly developed FKM ink that can be 3D printed with a direct-ink-write (DIW) process. The rheological characteristics, printing parameters, and mechanical properties of the formulated ink are investigated. We believe that this adaptable method will make it easier to produce 3D-printed FKM components with DIW, which could have a wide range of applications in engineering and consumer goods.
LATEX AGGLOMERATION AND COAGULATION IN LATICIFERS OF LIVE TARAXACUM KOK-SAGHYZ (RUBBER DANDELION) ROOTS
Authors: Abdul Ghaffar Muhammad Akbar , Cornish Katrina
Published: April 2024

The commercialization of Taraxacum kok-saghyz (rubber dandelion) as an alternative rubber crop requires fundamental knowledge of latex, an aqueous suspension of rubber particles, and rubber yield and quality. Rubber particles are formed in the root laticifers from Golgi bodies via the vesicular trafficking system in the cytosol and are then translocated into the vacuoles for storage. However, when freshly harvested roots are processed to extract the latex, much of the latex has already coagulated into solid rubber, reducing the commercial viability of latex extraction from this species. The process of in vivo loss of the latex fraction was investigated histologically, by transmission electron microscopy, in roots of plants grown in soil or hydroponically. In both root types, some rubber particles agglomerated in the cytosol as a precursor to coagulation. Other rubber particles agglomerated and then coagulated after rubber particles were translocated into vacuoles, and also after the cell internal cytoplasmic structure degraded. Uniquely large rubber particles were formed in the vacuoles of hydroponically grown plants by particle coalescence, but were not found in soil-grown roots. Eventually, some root laticifers of both root types filled with solid rubber. The instability of the aqueous latex phase postontogeny through rubber particle agglomeration, coalescence, and coagulation suggests that commercial processes likely would involve root drying to convert residual latex into solid rubber followed by aqueous- or solvent-based extraction.
Effect of Gender on Office Technology and Management (OTM) Students’ Academic Achievement and Retention in Record Management in Polytechnics in Anambra State, Nigeria
Authors: Nkechi Okeke Virginia
Published: April 2024

The study determined the effect of gender on office technology and management (OTM) students’ academic achievement and retention in record management in polytechnics in Anambra State, Nigeria. The study was quasi-experimental research which specifically used the pretest, posttest nonequivalent control group design. The population of the study was 6,213 Ordinary National Diploma (OND) and Higher National Diploma (HND) offering OTM in Federal Polytechnic Oko, Anambra State and the sample size was 347 OTM students. The instrument for data collection was Record Management Achievement Test (RMAT) extracted from second year OND AND HND past questions from 2019-2023. RMAT was administered to OTM students in both experimental and control groups. Test-retest method was used to establish the reliability of the instrument and data were analyzed with Pearson Product Moment Correlation coefficient which yielded 0.86. Mean was used to answer the research questions while analysis of covariance (ANCOVA) was used to test the hypotheses. The SPSS version 21.0 was used for analysis. Findings revealed that male performed better than their female counterparts in record management and also there is no statistically significant difference on the pretest and posttest mean retention scores of male and female office technology and management students’ in record management. Based on the results and discussions of the findings of the study, the researchers are pertinent that students’ academic achievements in record management are not influenced by gender. It was therefore recommended among others, that record management teachers should endeavor to give female and male students equal opportunities in the classroom.
Companies' Bottom Lines Are Affected by ESG Factors: A Bibliometric Study
Authors: Dr. T. Thirunavukkarasu Dr. S. Sivagnana Bharathi, Dr. K. Senthil kumar, , Dr Kiran Kumar Thoti Mr. K.S. Ashok Kumar,
Published: April 2024

This paper topic related to the environmental, social and governance (ESG) impacts the firm’s performance. Based on 351 papers on the ESG impacts the firm’s performance in the Web of ScienceDirect from 2019 to 2023 and we use VOS viewer in present the bibliometric review for the journal, keyword, authors, and citation structure. Furthermore, the ESG impact the firm’s performance, and this contribute three objective which is to explore the relationship between ESG factors and firm performance, to analyze the role of ESG metrics and reporting standards in assessing and improving firm performance, and to highlight the importance of ESG factors in the firm’s decision-making process and their influence on markets.
AI-Driven Prediction of Average Per Capita GDP: Exploring Linear and Nonlinear Statistical Techniques
Authors: Suhail Najm Abbood
Published: April 2024

Average per capita GDP income is an important economic indicator. Economists use this term to determine the amount of progress or decline in the country's economy. It is also used to determine the order of countries and compare them with each other. Average per capita GDP income was first studied using the Time Series (Box Jenkins method), and the second is linear and non-linear regression; these methods are the most important and most commonly used statistical methods for forecasting because they are flexible and accurate in practice. The comparison is made to determine the best method between the two methods mentioned above using specific statistical criteria. The research found that the best approach is to build a model for predicting Iraq’s average GDP per capita income by relying on the amounts of average GDP per capita income in the past years (1981-2020). The researcher found that in a second way, it became clear that the non-linear regression model of the Asian model was the best model representing (average per capita GDP income) in Iraq, and this model was used to predict the period (20221-2027). When comparing the two methods of projected amounts up to 2027, it was found that the best method was the second based on the indicator mean absolute percentage error (MAPE) because he has the least value.
Translation Algorithm of Proper Nouns in English-Chinese Translation Based on Lexical Knowledge Spectrum Map
Authors: Song Ting
Published: April 2024

The Lexical Knowledge Spectrum Map (LKSM) represents a comprehensive visual representation of the breadth and depth of lexical knowledge within a specific domain or language. By categorizing words and phrases along a spectrum ranging from basic to advanced levels of complexity, the LKSM provides learners and educators with a clear overview of vocabulary proficiency and progression. This dynamic tool not only helps individuals track their language learning journey but also guides instructional planning by identifying areas of focus and potential gaps in lexical understanding. With its intuitive interface and adaptable framework, the LKSM serves as a valuable resource for promoting effective vocabulary acquisition and mastery across diverse linguistic contexts and educational settings. This paper introduces a novel translation algorithm designed specifically for handling proper nouns in English-Chinese translation, leveraging the Lexical Knowledge Spectrum Map (LKSM) and Feature Vector Optimization with Statistical (FVOS) techniques. Proper nouns pose a unique challenge in translation due to their cultural and contextual significance, often requiring specialized handling to ensure accuracy and coherence in the target language. The proposed algorithm utilizes the LKSM to categorize proper nouns along a spectrum of lexical complexity, providing a comprehensive framework for understanding and translating these entities effectively. Additionally, FVOS techniques are employed to optimize feature vectors for proper noun translation, enhancing the algorithm's ability to capture and preserve semantic nuances across languages. With FVOS model English proper nouns translated into Chinese, the proposed algorithm achieves an average accuracy of 85%, outperforming baseline translation methods by 15%. Moreover, specific proper noun categories exhibit notable improvements, with names of people achieving an accuracy of 90%, followed by locations at 85%, and organizations at 80%.
Teaching Model of Soccer Training Based on Virtual Simulation Technology
Authors: Wang Bin
Published: April 2024

Virtual simulation technology, a cornerstone of modern innovation, revolutionizes the way we interact with virtual environments, offering immersive experiences across various fields. By leveraging computer-generated simulations, this technology replicates real-world scenarios, enabling users to engage in lifelike experiences without physical constraints. From training simulations for professionals in healthcare, aviation, and military sectors to virtual reality gaming and architectural visualization, virtual simulation technology transcends traditional boundaries, fostering experiential learning and enhancing decision-making processes. Its applications extend to education, where students can explore complex concepts in science, history, and art through interactive simulations, promoting active learning and knowledge retention. As technology continues to evolve, virtual simulation remains at the forefront, continually pushing the boundaries of what is possible in immersive experiences. This paper presents a novel teaching model for soccer training, leveraging virtual simulation technology augmented by Hierarchical Training Feature Co-ordinates Recurrent Network (HTF-RN). The proposed model aims to enhance the effectiveness and efficiency of soccer training programs by providing immersive and interactive experiences in virtual environments. Through simulated experiments and empirical validations, the efficacy of the HTF-RN-enhanced virtual simulation teaching model is evaluated. Results demonstrate significant improvements in player performance, tactical understanding, and decision-making abilities compared to traditional training methods. For instance, players trained using the HTF-RN model exhibited a 25% increase in goal-scoring accuracy and a 30% improvement in passing precision. Additionally, the model enabled coaches to customize training sessions based on individual player strengths and weaknesses, leading to more targeted and impactful training interventions. These findings underscore the potential of virtual simulation technology with HTF-RN in revolutionizing soccer training methodologies, paving the way for more effective player development and performance enhancement.
Machine Learning-Based Beamforming Algorithm for Massive MIMO Systems in 5G Networks
Authors: Shrikant Upadhyay
Published: April 2024

The following research focuses on the use of machine learning-based beamforming algorithms to improve Massive Multiple Input Multiple Output (MIMO) systems in 5G networks. Four unique algorithms namely, the Deep Learning Beamforming Algorithm (DLBA), Reinforcement Learning-Based Doa Estimation Algorithm (RLBEA), Clustering based beam forming algorithm(CBA) and GeneticAlgorithm Based Beam Forming Algoeithm were developed after which each of them was undertook evaluation. Widespread trials, in a simulated 5G environment, have revealed that the DLBA and RLBA considerably outperform other technologies by means of system throughput SINR as well Both the DLBA and RLBA achieved high system throughput, increased SINR levels and low BER. CBA and GABA, using clustering and genetic algorithms as their approaches, displayed moderate values on all assessed composite measures. This research offers important insights on the adaptability and learning potential of machine-learning based beamforming algorithms highlighting their ability to improve efficiency in wireless communication networks during the 5G revolution
Enhancing Data Privacy Protection in Cloud Computing Through Ciphertext-Policy Attribute-Based Encryption
Authors: Kumaraswamy S, Ananth Prabhu Gurpur, Akashraj Raga Sachin Popat Patil, Mustafa Basthikodi,
Published: April 2024

The paper highlights the significance of Ciphertext-Policy ABE in enabling broadcast, secure transmission, and effective control over data access within cloud computing systems. However, the existing implementation of Ciphertext-Policy ABE presents a vulnerability, as plaintext access policies transmitted alongside ciphertexts may unintentionally expose sensitive user and data privacy information. To address this issue, a novel technique is proposed, which leverages hashing techniques to conceal access policies and strengthens protection against potential attacks through signature validation methods. Comparative analysis with existing techniques emphasizes the effectiveness of the proposed scheme in enhancing privacy and security within cloud computing environments. By addressing vulnerabilities in Ciphertext-Policy ABE and introducing innovative methods for access policy concealment and security enhancement, this study contributes to advancing secure data management practices and promoting greater confidence in cloud computing systems.
Proposing an Innovative Method for Predicting Optimum Wind Generator Output
Authors: Shiv Kumar Sonkar Sharad Anand,
Published: April 2024

Renewable energy sources offer environmental benefits and a more consistent supply, making them essential for integrating into energy fusions. Network operators have challenges with intermittent and stochastic power sources like wind power owing to their fluctuating production. This study presents an innovative method for predicting wind turbine power output, from any location in a vast region with high efficiency. To ensure a representative sample of geographical locations, the research region is divided into a grid and sampled accordingly. The ideal production times for each sub-area are discovered and utilized to anticipate electricity output. It uses the LSTM model to predict meteorological data and the linear model to approximate wind turbine power curves. The sub-area showed one-day wind speed, direction, and power projections clustering scores. Wind and directional predictions yielded RMSE (0.35m\sec, 7.9rad) and R2 (94%, 71%) scores.
Optimal Routing in Wireless Sensor Networks for Advancing IoT Efficiency and Sustainability using Enhanced Ant Colony Algorithm with machine learning approaches
Authors: A.Harshavardhan
Published: April 2024

This research study aims to investigate the incorporation of machine learning tools, such as Q-learning, Genetic Algorithms, Unsupervised Learning, and Ensemble Learning, into Enhanced Ant Colony Algorithm to assess the impacts of such incorporation on the WSN’s performance. Ten experimental trials were conducted on each to analyze the accuracy, precision, and F1 score results. It was observed that Q-learning achieves an average accuracy of 0.867; precision of 0.842; and F1 score of 0.854, making it highly adaptable and efficient in making routing decisions. The GA presented average accuracy of 0.833; precision of 0.812; and F1 score of 0.821 which show that the tool is highly robust in evolutionary optimization. Unsupervised learning machine performances indicate that the mean accuracy, precision, and F1 score for the model are 0.875, 0.856, and 0.865, respectively . As for ES with multi source models, the model showed the highest performance of 0.898, 0.882, and 0.891 in accuracy, precision, and F1 score, respectively . This study is thus very valuable in the backend regarding application of machine learning tools into routing optimization algorithms and efforts geared towards WSN efficiencies and sustainability..
A Novel Approach to Evaluating College English Teaching Quality Through Dependency Factor Analysis, Incorporating Point Feature Probability Classification Dependency Factor (Pfp-Df)
Authors: Weibin Zhang Lihui Li,
Published: April 2024

A Fuzzy Genetic Algorithm (FGA) can be a valuable approach for Social Network Analysis (SNA), where the complexity of social interactions often involves uncertainty and imprecision. In SNA, the structure and dynamics of social networks are analysed to understand various phenomena such as information diffusion, community detection, and influence propagation. FGA integrates the principles of fuzzy logic with genetic algorithms to navigate the intricate landscape of social networks effectively. This paper introduces a novel approach to evaluating college English teaching quality through Dependency Factor Analysis, incorporating Point Feature Probability Classification Dependency Factor (PFP-DF). The proposed framework aims to provide a comprehensive assessment of teaching quality by analysing dependencies between various factors influencing English instruction in college settings. Through simulated experiments and empirical validations, the effectiveness of the PFP-DF model in evaluating teaching quality is assessed. Results demonstrate significant improvements in accuracy and granularity compared to traditional evaluation methods. The PFP-DF model achieved an average accuracy rate of 85% in identifying key dependencies impacting teaching quality, allowing for targeted interventions and improvements. Additionally, the framework enables a more nuanced understanding of teaching dynamics, facilitating data-driven decision-making and continuous improvement in English instruction. These findings underscore the potential of Dependency Factor Analysis with PFP-DF in enhancing the evaluation of college English teaching quality, leading to more effective and impactful educational outcomes.