bluuebunny/crossref_metadata_2025 huggingface dataset:
Radioactivity estimation of baobab (Adonsonia digitata) in katsina metropolis, katsina state Nigeria
Authors: Idris Haruna Yakubu  , Joseph Emmanuel  , Gambo Nura
Published: February 2024

Radioactivity estimation of baobab plants was carried out in Katsina metropolis, Katsina State, Nigeria. Samples of soil, roots, and leaves were collected, prepared and analyzed to estimate the activity concentration of the natural radionuclides of U-238, Th-232, and K-40using NaI (TI) gamma ray spectrometry detector. The results obtained showed that the activity concentration ranged from 0.1 Bq/kg to 33.26 Bq/kg, 1.98 Bq/kg to 64.98 Bq/kg and 65.89 Bq/kg to 1009.69 Bq/kg with overall mean values of 11.35, 18.87 and 545.14 in Bq/kg for U-238, Th-232 and K-40 respectively. In order to assess the radiological parameters of the natural radioactivity; the radium equivalent activity (Raeq), an absorbed dose rate and the measured annual effective dose equivalent were calculated and lies in the ranges of 18.83 to 183.22 (Bq/kg), 9.07 to 85.90 nGy/h and 0.011 to 0.105 mSv/y respectively; mean values obtained are 87.20 Bq/kg, 40.55 nGy/h and 0.050 mSv/y respectively. However, the calculated values obtained for all the radiological parameters falls below the world acceptable limits of 370 Bq/kg for Raeq; 89 nGy/h for the absorbed dose rate and 1 mSv/y annual effective dose rate for the general public; for the annual effective dose due to ingestion or inhalation of NORMS in the soil, medicinal plants and food is 0.07 mSv/y and the value is within the acceptable limit of intake; external and internal hazard index were calculated and found to have values of 0.23 Bq/kg for Hex and 0.30 Bq/kg for Hin and are lower than unity set by ICRP. Base on the radiological hazards evaluations, there is no any health risk due to radiation from the natural sources in using the roots and leaves parts of baobab plants for any purposes in the study area. Moreover, the measured soil around the study area was found to be safe and will not pose any radiation exposure to the population. Hence, the research will serve as the baseline for detection of any future released activities of related natural radionuclides especially around the consumable plants. However, effort should be made to ensure that the radiological parameters of the study area are kept as low as reasonably achievable.
Harmony in Hydroinformatics: Integrating AI and IEC for sustainable groundwater conservation in Solapur
Authors: Mustaq Shaikh  , Farjana Birajdar
Published: February 2024

This research investigates the synergistic potential of artificial intelligence (AI) and Information Education and Communication (IEC) in the context of groundwater conservation for Solapur, a region participating in the Atal Bhujal Yojana. The primary objective is to assess the effectiveness of integrating AI technologies with community-centric education strategies to enhance water management practices. The methodology involves a comprehensive review of the Atal Bhujal Yojana, exploration of AI applications in global water management, and the formulation of strategies for AI-IEC integration. Key findings highlight the pivotal role of community engagement, the diverse applications of AI in water management, and the significance of IEC in shaping sustainable behaviors. Challenges and solutions, case studies, and future prospects are examined to provide a comprehensive overview. The implications of this research extend to the development of resilient water ecosystems, emphasizing the importance of collaborative efforts and forward-thinking solutions. This interdisciplinary approach positions Solapur as a model for effective groundwater conservation, leveraging technological advancements and community participation for a water-secure future.
Towards trustworthy AI: An analysis of the relationship between explainability and trust in AI systems
Authors: Vibhuti Choubisa  , Divyansh Choubisa
Published: February 2024

As artificial intelligence (AI) becomes increasingly integral to our lives, ensuring these systems are trustworthy and transparent is paramount. The concept of explainability has emerged as a crucial element in fostering trust within AI systems. Nevertheless, the dynamics between explainability and trust in AI are intricate and not fully comprehended. This paper delves into the nexus between explainability and trust in AI, offering perspectives on crafting AI systems that users can rely on. Through an examination of existing literature, we investigate how transparency, accountability, and human oversight influence trust in AI systems and assess how various explainability approaches contribute to trust enhancement. Utilizing a set of experiments, our research examines how different explanatory models impact users' trust in AI systems, revealing that the nature and quality of explanations have a significant influence on trust levels. Additionally, we scrutinize the balance between explainability and accuracy in AI systems, discussing its implications for the development of reliable AI. This study underscores the critical role of explainability in engendering trust in AI systems, providing guidance on the development of AI systems that are both transparent and trustworthy, thereby fostering confidence among users.
Artificial Intelligence in ESG investing: Enhancing portfolio management and performance
Authors: Omotayo Bukola Adeoye  , Chinwe Chinazo Okoye  , Onyeka Chrisanctus Ofodile  , Olubusola Odeyemi  , Wilhelmina Afua Addy  , Adeola Olusola Ajayi-Nifise
Published: February 2024

Artificial Intelligence (AI) has emerged as a transformative force in Environmental, Social, and Governance (ESG) investing, significantly enhancing portfolio management and performance. This paper investigates the integration of AI technologies within ESG investment strategies, elucidating their profound impact on decision-making processes and financial outcomes. By leveraging advanced data analytics and machine learning algorithms, AI empowers investors to analyze extensive ESG-related datasets, extract actionable insights, and identify investment opportunities aligned with sustainability objectives. The application of AI-driven ESG analysis enables investors to construct well-structured portfolios that not only aim for financial success but also adhere to ethical and sustainable principles. Through the utilization of AI, investors can systematically evaluate the environmental impact, social responsibility, and corporate governance practices of potential investments. This approach facilitates the identification of ESG risks and opportunities with greater precision and efficiency, leading to more informed investment decisions. Moreover, AI enables investors to dynamically adjust their portfolios in response to changing market conditions and emerging sustainability trends. By continuously monitoring ESG factors and leveraging predictive analytics, investors can proactively manage risks and seize opportunities to enhance portfolio performance over the long term. This proactive approach not only mitigates potential ESG-related risks but also positions investors to capitalize on emerging market trends and shifts in consumer preferences. Furthermore, the integration of AI in ESG investing fosters transparency, accountability, and stakeholder engagement within the investment ecosystem. AI-powered tools facilitate the dissemination of ESG-related information, enabling investors to make informed decisions that align with their values and sustainability goals. By harnessing the capabilities of AI, investors can drive positive environmental and social impact while achieving competitive financial returns. In conclusion, the utilization of AI in ESG investing represents a paradigm shift in portfolio management, offering investors unprecedented opportunities to navigate complex ESG challenges and achieve sustainable financial success.
Washback effects of Google Meet automatic caption feature in assessing students’ pronunciation
Authors: Ramadhika Boris , Karma Carolus Prima Ferri , Yosintha Rolisda
Published: February 2024

The utilisation of technology in assessing speaking tests is not a novel concept. Conducting an analysis of the washback effect should be done following the implementation of the assessment. This research study aimed at finding the washback effects of the use of the Google Meet automatic caption feature in assessing students’ pronunciation skill. A mixed-method was employed with the embedded case study as the research design. The instrument was a survey questionnaire designed with a four-point Likert scale. It was distributed to 63 students in English subject from the first semester of Management study program in Universitas Tidar, Magelang which were selected using the purposive sampling. A descriptive statistics analysis was used to analyze the results of the questionnaire. To strengthen the data, a semi-structured interview was conducted to gain more accurate descriptive data. It was found that there are three pedagogical dimensions of washback effects: students’ attitudes, motivation, and pronunciation awareness. Based on these results, further research on the feature’s accurateness in captioning is highly suggested.
Implementasi Pembiasaan Literasi untuk Meningkatkan Kemampuan Membaca Permulaan Siswa Kelas I SDN Bugels
Authors: Febriani Venny , Nisa Ana Fitrotun
Published: February 2024

Dalam kehidupan sehari-hari, kita tidak lepas dari pengunaan bahasa sebagai alat komunikasi. Bahasa digunakan sebagai alat komunikasi utama bagi manusia untuk mengungkapkan ide, perasaan, maupun keinginannya. Salah satu fokus pembelajaran bahasa di Sekolah Dasar yang memegang peranan penting adalah pembelajaran membaca. Anak akan mengalami kesulitan belajar dikemudian hari apabila mereka tidak memiliki kemampuan membaca yang memadai sejak dini. Kemampuan membaca ini menjadi dasar utama tidak hanya di pembelajaran bahasa sendiri, tetapi juga bagi pembelajaran mata pelajaran lain. Ketertarikan anak pada kegiatan membaca bisa dibiasakan dengan melakukan kegiatan literasi secara teratur dan berkelanjutan. Tujuan dari artikel ini adalah untuk menganalisa implementasi pembiasaan literasi untuk meningkatkan kemampuan membaca permulaan bagi siswa kelas I SD Negeri Bugel. Penelitian ini menggunakan desain penelitian kuantitatif. Hasil dari penelitian ini menunjukkan bahwa implementasi pembiasaan literasi di SD Negeri Bugel sudah terlaksana. Melalui penerapan metode scramble kalimat, siswa kelas I menjadi lebih antusias dalam belajar sehingga kemampuan membaca permulaannya pun meningkat.

Kata kunci: kemampuan membaca, scramble, kartu kata
Embrace or resist? Drivers of artificial intelligence writing software adoption in academic and non-academic contexts
Authors: Papakonstantinidis Stavros , Kwiatek Piotr , Spathopoulou Filomachi
Published: February 2024

This research investigates the perspectives of using artificial intelligence writing software (AIWS) in professional contexts, focusing on academic and non-academic writers. These two groups, while standing to gain increased productivity through the adoption of AIWS, also express concerns regarding the widespread implementation of this technology. Notably, artificial intelligence (AI) writing tech’s impact on content creation has been profound, with its swift grammatically accurate content generation. This adoption, however, remains controversial. The study employs a quantitative approach, combining technology acceptance model and new computer game attitude scale. This approach allows us to discern implications of using AI-powered writing tools while accounting for possible differences in different domains of use. Through a survey of 219 participants, spanning academia and business, the study explores attitudes and willingness to use AIWS. Findings yield insights into non-academic writers’ readiness and implications of AIWS adoption. Business, non-academic professionals view AIWS as a tool for efficiency and content quality, while writers in academic contexts express concerns about biases, manipulation, and job displacement. The study contributes to AIWS understanding, benefiting developers, educational institutions, and content creators, and elucidates differing attitudes and age dynamics between academics and professionals. The research underscores the multifaceted influence of AIWS, providing a foundation for future exploration in this emerging domain, as well as practical applications for industries and educational institutions.
Mulheres no jornalismo esportivo
Authors: Malta Renata Barreto , Alfaro de Araújo Érika , Amado Aianne
Published: February 2024

O artigo busca analisar postagens no Twitter motivadas pelo pioneirismo da narradora Renata Silveira e da comentarista Ana Thaís Matos em transmissões da Copa de 2022 na Globo. Um método quanti-qualitativo de análise de redes semânticas foi utilizado na coleta do conteúdo, permitindo a investigação de termos relacionados com mais frequência nos discursos do corpus. Como resultado, identificamos o marcador de gênero como central de modo descritivo, analítico e político. As discussões dos resultados abordaram: a divisão sexual do trabalho no jornalismo, a referência masculina no esporte, a polarização de ideias promotora de debates e a aparência física das jornalistas como argumento machista.
Perfil profissional dos egressos do curso de Odontologia de uma universidade do interior da Bahia
Authors: Silva Carlos Henrique , Simões Francisco Xavier Paranhos Coêlho , Freitas Lívia Maria Andrade de , Casotti Cezar Augusto
Published: February 2024

O objetivo desse estudo é conhecer o perfil dos egressos do Curso de Odontologia de uma Universidade Estadual do Sudoeste da Bahia e o grau de satisfação em relação ao âmbito de trabalho. Foi realizado um estudo quali-quantitativo e transversal por meio de questionário online autoaplicável enviado por meio das redes sociais (WhatsApp e Instagram) para os cirurgiões-dentistas que colaram grau entre o período de 2009 a 2020. Os dados obtidos foram tabulados na planilha Excel e submetidos à análise descritiva e ao teste Qui-quadrado de Person com nível de significância de 5%. Para a questão discursiva foi utilizada a técnica de análise de conteúdo proposta por Bardin. Dos 383 egressos, 124 (32%) participaram da pesquisa. A maioria (84,6%) se inseriu no mercado de trabalho em até um mês após a formatura e atuavam como profissional liberal (30,2%). Houve diferença significativa quando associado a satisfação com a profissão e a valorização financeira. A insegurança em atuar na profissão foi relacionada a não ter mais a supervisão do docente. Ademais, foram apontadas pouca exploração nos conteúdos de gestão e empreendedorismo durante a graduação. Conclui-se que os egressos conseguiram uma rápida inserção no mercado de trabalho após a colação de grau e que as atividades extracurriculares são preponderantes para nortear a futura profissão e contribuir na qualificação profissional.
Conhecimento de estudantes de Odontologia sobre prescrição e o uso de medicamentos
Authors: Kula Jeniffer , Melo Norma Suely Falcão de Oliveira , Lima Antonio Adilson Soares de
Published: February 2024

Este estudo teve como objetivo analisar o conhecimento de 335 estudantes de Odontologia sobre prescrição e uso de medicamentos. Os participantes foram divididos em dois grupos: Grupo I - composto por 136 alunos do último período/semestre do curso de Odontologia e o Grupo II - composto por 199 alunos que haviam concluído recentemente a disciplina de Terapêutica Medicamentosa/Farmacologia (segundo semestre da graduação).  Os estudantes responderam a um questionário com 19 perguntas fechadas dividido em três blocos de interesse, Bloco A (5 perguntas sobre sua formação acadêmica); Bloco B (4 perguntas sobre legislação e prescrição de medicamentos) e Bloco C (10 perguntas sobre prescrição comum em casos de risco aumentado por comorbidade em Odontologia). O instrumento foi validado após a aplicação de três estudos piloto em 60 alunos voluntários que recentemente haviam concluído a disciplina de Terapêutica Medicamentosa/Farmacologia.  Os resultados permitiram classificar o nível de conhecimento como ruim, moderado, bom ou excelente de acordo com a estratificação adotada pelos autores. A maioria dos alunos entrevistados era do sexo feminino, com 22 anos de idade. De acordo com os resultados, 70% dos participantes afirmaram que a duração da disciplina Farmacologia/Terapêutica Aplicada à Odontologia foi insuficiente para que se sentissem seguros ao prescrever medicamentos. Os dados apresentados mostraram que no bloco “B” apenas 19% dos alunos sabiam quem é o responsável pelo documento de prescrição. Além disso, 57% identificaram os itens obrigatórios em uma prescrição antimicrobiana. O índice de sucesso do bloco “C” mostrou que os participantes apresentaram conhecimento razoável envolvendo as questões sobre indicação e prescrição de medicamentos tanto em situações regulares quanto em situações de risco na Odontologia. O conhecimento médio dos alunos quanto à indicação e prescrição de medicamentos revela um problema na formação acadêmica relacionada à terapia medicamentosa.
Processo de aprendizagem colaborativa entre residentes e estudantes de graduação em Odontologia em um hospital universitário de Curitiba
Authors: Azevedo Julia Schlichting , Oliveira Nathiele Santana de , Couto Soraya de Azambuja Berti , Souza Paulo Henrique Couto
Published: February 2024

Com o reconhecimento do exercício da Odontologia Hospitalar e sua aprovação como uma nova especialidade pelo Conselho Federal de Odontologia em 2023, e validação das novas Diretrizes Curriculares Nacionais para o Curso de Odontologia homologadas em 2021, os cursos de graduação em Odontologia no Brasil tendem a qualificar futuros profissionais em formação para atuar em ambiente hospitalar, de forma sistematizada. Isso visa propiciar aos estudantes uma vivência interprofissional inerente aos hospitais, favorecendo a interação positiva entre várias áreas da saúde. Este estudo descritivo tem como objetivo relatar a experiência no processo de aprendizagem colaborativa entre profissionais de saúde residentes do Programa de Residência Multiprofissional em Saúde do Idoso, na área profissional de Odontologia, de um Hospital Universitário de Curitiba e estudantes de graduação do curso de Odontologia de uma instituição de ensino superior. Durante o desenvolvimento de diferentes atividades acadêmicas, observou-se que a utilização desta metodologia de ensino-aprendizagem caracterizou-se como uma ferramenta importante, buscando fortalecer as trocas de vivências práticas, propiciando discussões entre estudantes e profissionais residentes, por meio da mediação dos docentes, os quais buscavam sempre incentivar a construção do conhecimento crítico reflexivo, oportunizando uma experiência de formação discente interprofissional ampliada.
The power of Chinese aesthetic culture: history versus modernity
Authors: Liu Yuxin , Chen Gang
Published: February 2024

The article analyzes the aesthetic culture of China. The nature of the aesthetic culture of China and its distinctive essence are determined; the nature of the relationship between the aesthetic culture of Western civilization and the aesthetic culture of China is revealed; the prospects for the development of aesthetic culture of China in the 21st century are outlined.
Prevalence and 20-year Trends in Meditation, Yoga, Guided Imagery and Progressive Relaxation Use Among US Adults From 2002 to 2022
Authors: Davies Jonathan Nicholas , Faschinger Anna , Galante Julieta , Van Dam Nicholas T
Published: February 2024

Meditation, yoga, guided imagery, and progressive relaxation are promoted as complementary approaches for health and wellbeing in the United States, but their uptake by different sociodemographic groups is unclear. This study assessed the prevalence and 20-year trends in the use of these practices in US adults between 2002-2022. We examined practice use and associations with sociodemographic and health factors in a population-weighted analysis of n=134,959 participants across 5 cycles of the National Health Interview Survey. The overall use of meditation (18.3%, 60.53 million), yoga (16.8%, 55.78 million) and guided imagery/progressive relaxation (6.7%, 22.22 million) increased significantly from 2002 to 2022. Growth was consistent across most sociodemographic and health strata, however users of ‘Other’ race (comprising 54% Indigenous Americans, Odds Ratios; ORs=1.28-1.70) and users with moderate (ORs=1.19-1.29) mental health concerns were overrepresented across all practices, and those with severe mental health concerns were overrepresented in meditation (OR=1.33) and guided imagery/progressive relaxation (OR=1.42). Meditation use has accelerated over time for 65+ year olds (OR=4.22), people not accessing mental health care (OR=1.39), and less educated (OR=4.02) groups, potentially reflecting unmet health needs. Health professionals should consider the extensive use of complementary practices in service and treatment planning and consider their risks and benefits.
The innovation bias: Implicit preferences for innovative and historical solutions over contemporary ones
Authors: Reis Moritz , Kim Yeun Joon , Pfister Roland , Kunde Wilfried
Published: February 2024

Innovative solutions promise to improve our lives. Novel, unfamiliar approaches, however, also come with increased uncertainty regarding their feasibility and quality. In four preregistered experiments (N = 272 adults), we investigated implicit biases toward such innovative approaches. We tracked hand movements while participants chose between options of different levels of innovativeness. Choices either compared historic versus contemporary options (past comparison; e.g., carriage vs. car) or they compared contemporary versus innovative options (future comparison; e.g., car vs. self-driving car). While for past comparisons, movement trajectories were systematically torn toward the more historic option, the opposite effect was observed for future comparisons. This pattern of results replicated across all four studies. People, thus, seem to implicitly favor innovative and historic approaches over established ones. We conclude that moderate incongruity from an established approach, either through innovation or through a return to the past, evokes particular interest and attraction toward non-standard alternatives.
Stimulating Regulatory Compliance and Ethical Behavior of Organizations: a Review
Authors: Ishwardat Sarwesh Roshan , van Steenbergen Elianne , Coffeng Tessa , Ellemers Naomi
Published: February 2024

Regulators aim to influence behavior of regulatees, such as compliance (i.e., following rules and regulations), but also ethical behavior (i.e., doing the right thing, irrespective of the rules and regulations). A literature review was conducted to collect, summarize, and analyze empirical evidence on how regulators can stimulate regulatees’ compliance and ethical behavior. We introduce a novel framework, in which we propose that regulatory actions influence compliance and ethical behavior through regulatees’ capability, opportunity, and motivation. Combining the findings of 35 articles, we showed that studies on ‘sanctions’ and 'cooperation' demonstrated mixed results regarding their effectiveness, whereas ‘inspections’ were found more effective. Notably, the subcomponents psychological capability, social opportunity, and reflective motivation were more effective in stimulating behavior than physical capability, physical opportunity, and automatic motivation. We reflect on how these insights can be used by regulators to increase their effectiveness, as well as for the aim to further develop regulatory theory.
Editorial Vol.9(3) Special Issue
Authors: Sahu Indra D. , Adhikari Chandra Mani , Baniya Hom
Published: February 2024

No abstract available.
Influence of Precursor Type on Activated Carbon Prepared by Phosphoric Acid-Chemical Activation for Supercapacitor Applications
Authors: Bhandari Sujan , Rajguru Kirti B. , Gnawali Chhabi L. , Pokharel Bhadra P.
Published: February 2024

Phosphoric acid can be used to activate different precursors and produce activated carbon (AC), a porous material with high adsorption capacity and surface area. This research shows how AC is made using different locally available precursors, namely amla seeds and harro seeds. We compare how the carbonization temperature and the precursor type affect the surface area, pore structure, and electrochemical properties of the AC. We use different methods to analyze the AC samples, such as scanning electron microscopy, surface area, methylene blue number, iodine number, and cyclic voltammetry. We show that the best conditions for making AC depend on the type of precursor and the activation temperature.
Exploring the Relationship between National Security Risks and Economic Factors: A Nepalese Perspective
Authors: Adhikari Lila Dhar
Published: February 2024

Macroeconomic variables have a significant impact on national security. This article examines the intricate association between macroeconomic variables and national security, emphasizing the bottomless effects of economic factors on individual vulnerability to national security risks. The evolution of conventional and unconventional power, encompassing both hard and soft power, has taken on a hybrid form central to national security considerations. In today’s globalized world, economic variables have become pivotal in shaping national security threats. Employing the Critical Political Economic Approach (CPE), the study focuses on Nepal as a case study to analyze the interplay between economic determinants and national security risks. The findings indicate that the expansion of trade, financial services, FDI, migration, and remittances both positively and negatively influences national security concerns, whereas growth in poverty and inequality, foreign aid and loans, crises, corruption, critical ICT infrastructures, and cyber risks heighten threats to Nepal's security. The study suggests that fostering strong economic conditions and positive trends can mitigate the likelihood of national security incidents.
Expenditure Practices of Provincial and Local Governments: The Case of Nepal
Authors: Bhattarai Kumar
Published: February 2024

Nepal promulgated a new constitution in 2015, which adopted a federal system of governance to achieve economic equality, prosperity and social justice. The constitution has allocated expenditure responsibilities to each level of government. In such a scenario, this study employs a descriptive approach to analyze the spending practices of Nepal’s provincial and local governments. Secondary sources of data were used to cover the period from 2018/19 to 2021/22. The study found that the average share of recurrent expenditure at the provincial level of Nepal was 42.5% while such share of capital expenditure was 57.5%. At the local level, the average share of recurrent and capital expenditure was 60.5% and 39.5% respectively. Within the capital expenditure of Nepal’s provincial governments, the average share of expenditure items having relatively more contribution to capital formation was 70.6% while that of local governments, such share was 52.9% only. The study also found that Nepal's provincial and local governments spend less on the major subnational service delivery areas. Nepal’s subnational government spending practices highlight the need to spend more on capital formation. Within the capital formation, more spending on the areas having a direct impact on their future growth and prosperity is necessary. The subnational governments must also spend more on major subnational service delivery areas.
Exploring Fiscal Federalism and the Structure of Public Spending in Nigeria
Authors: Chenge Andrew Aondohemba
Published: February 2024

Globally, there has been a noticeable shift towards fiscal decentralization during the last few decades. As a result, subnational levels of government now have more latitude for revenue generation and spending decisions. Nations all around the world are recognizing the benefits of fiscal decentralization. Fiscal federalism, as a component of fiscal decentralization, deals with the public sector's vertical organization. It examines the functions of the various governmental tiers and their interactions with one another through various fiscal mechanisms. The study aims to investigate the impact of Nigeria's fiscal federalism on public spending and the welfare of its citizens. The Wiseman-Peacock theory was adopted as the theoretical framework. The study was based on a documentary research design. Content analysis was used as a method for analyzing data. The derived findings revealed that Nigeria’s revenue-to-GDP ratio is among the lowest in the world. It also established that revenue shortages have created imbalances in government expenditure, i.e., recurrent above capital expenditure. The study recommends that addressing loopholes in the current tax legal framework, allocating spending more efficiently, and strengthening institutions are approaches to be applied to put Nigeria on a sustainable fiscal path.
Beyond Borders: A Review of Diaspora and Female Immigrant Experience
Authors: Bhandari Nagendra Bahadur
Published: February 2024

This article reviews the conceptualization of the diaspora and the inclusion of female immigrants’ experiences in diaspora studies. It surveys the changing notion of diaspora with the inclusion of varied groups of immigrants, including females. Then, it examines the previous research about female immigrants’ experiences, particularly focusing on South Asian female immigrants. Over time, the conceptualization of the diaspora has evolved from a perspective focused on victimhood to a more socially constructed view of identity formation that transcends the binary distinction between home and host countries. This broader conceptualization of diaspora includes various forms of transborder migration and settlement, allowing for a more inclusive examination of the experiences of female immigrants. In the beginning, women immigrants were often equated with male immigrants. However, as time passed, scholars started linking gender concerns with additional factors like social class, nationality, and ethnicity. In this context, the research on the experience of South Asian female immigrants revolves around changing gender roles and family dynamics, including contradictory aspects of whether migration reinforces domination or provides autonomy to South Asian female immigrants.
Próby do badania gotowości szkolnej (PGS) – wersja eksperymentalna dla nauczycieli wychowania przedszkolnego
Authors: Góźdź Joanna
Published: February 2024

Every preschool teacher is required to assess the child’s school readiness. In most cases, this assessment is carried out in a subjective manner, without relying on standard research tools. The work presented here is intended to aid the work of the preschool teacher. It puts in their hands a standardized (having the same instructions, scoring method and norms) sample for objective assessment of a child’s school readiness, both in general and in specified areas of functioning (mainly cognitive). The tool was tested on a sample of children preparing for school, and based on the results, it can be concluded that it is a relevant and reliable tool.
Modeling Of Hyperparameter Tuned RNN-LSTM and Deep Learning For Garlic Price Forecasting In Indonesia
Authors: Azhari Irmawati Carolina , Haryanto Toto
Published: February 2024

In the Indonesian garlic industry, the unpredictability of garlic prices poses a substantial challenge, impacting the sector's stability and growth. This research aims to address this issue by developing a highly accurate predictive model using a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM). The study employs a dataset spanning 782 days, meticulously divided with 80% dedicated to training and 20% to testing. The model, equipped with 50 LSTM units, undergoes intensive training over 100 epochs, with a batch size of 5. Its effectiveness is evaluated using the Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE), revealing exceptional predictive capabilities. The model achieves a low RMSE and MAPE in both training and testing phases, underscoring its accuracy and reliability in forecasting garlic prices. These results indicate not only the success of the RNN-LSTM model in capturing the complex patterns of price fluctuations but also highlight the potential of machine learning in enhancing time series analysis. This breakthrough offers significant implications for stakeholders in the garlic industry, providing a powerful tool for informed decision-making and strategic market planning, thereby contributing to the sector's sustainable development and stability
Comparison of Min-Max and EOQ Methods in Web-Based Stock Management Information System
Authors: Dharmakirti Dharmakirti , Ngemba Hajra Rasmita , Hendra Syaiful , Syahrullah Syahrullah , Nugraha Deny Wiria , Dwiwijaya Kadek Agus
Published: February 2024

Warehouse stock management is very important for the sustainability of a business, especially building stores that have a lot of goods. Many problems occur in the absence of stock information management in a business. This happens at Pelita Building Store which has a lot of goods so it is very difficult for the owner to decide which items to stock based on priority. This study aims to help business owners to carry out stock management by comparing two inventory methods, namely the Economic Order Quantity (EOQ) and Min-Max methods. The comparison is carried out with the aim of determining the most optimal method that can be used for stock management in the building shop business case. This research uses a system development method by adopting the prototype method. This research was tested by conducting blackbox and accuracy testing. The results of this study based on blackbox testing stated that the features in the application function properly and can be used for stock management. In addition to black box testing, accuracy testing is also carried out. Accuracy testing is done by comparing the data from the information system calculation with the data from the manual calculation. After comparison, an accuracy of 100% is obtained, thus it can be concluded that this application can be used to help shop owners determine priority stock and the most accurate method is to use the EOQ method
The Barriers of Using Video Games as a Media for Teaching and Learning Purposes: A Case Study in Indonesia
Authors: Wibowo Tony , Pee Ahmad Naim Che , Ahmad Ibrahim
Published: February 2024

The 21st century has seen the remarkable growth of the video game industry, which has surpassed other entertainment sectors in terms of financial value. The COVID-19 pandemic further emphasized the importance of video games as a means of socialization and entertainment. However, despite their potential in education, the adoption of video games as a learning media faces numerous barriers. This study explores these barriers, particularly in the context of Indonesia, a country with a burgeoning video game culture. The research uses a mixed-methods approach, including qualitative interviews and quantitative surveys with stakeholders such as parents, teachers, students, and government officials. The findings reveal several key barriers to adopting video games in formal education in Indonesia. There is an inherent mistrust of video games among Indonesians, which makes the use of video games as a learning media challenging. There is a lack of video games designed for educational purposes suitable for Indonesia's formal education system. The lack of government support for video games as learning media also becomes an issue. We suggest collaboration between local game developers and education practitioners could help design video games that balance gameplay mechanics and educational content. Successful case studies of video games in education can potentially change negative perceptions among teachers, parents, and students. In addition, government support and recognition of video games as valid learning media are essential for wider adoption in Indonesia's formal education system. Future research should focus on developing and adopting video games specifically designed for educational purposes to address these barriers effectively
Sistem Informasi Kelayakan Berlayar dan Kecelakaan Kapal Berbasis Website
Authors: Putra Arief Ramanda
Published: February 2024

Abstracts - Sea transportation does not only function to connect regions in Indonesia, in this case shipping is actually one of the main veins of the economy and its strategy is to connect the gaps between regions, in this case the software development approach used in making this website is a linear flow and sequential, involving needs analysis, design, implementation, testing, and maintenance. The background explanation above illustrates the need for rapid data collection regarding the seaworthiness of company ships and the causes of ship accidents and the losses they cause. To meet these needs, the idea of making a website-based application is proposed. The computer was chosen as a device that supports the application of the plan, so that the application can facilitate the exchange of information when a ship accident occurs. A linear and sequential software development approach is used, with sequential development phases, including requirements analysis, design, implementation, testing, and maintenance. Various tools, such as XAMPP, Sublime Text Editor 3, PHP, Bootstrap, and MySQL PHPMyadmin, were used in the creation of a seaworthiness information system and shipwreck data. Through this website, related parties, including the Directorate General of the Ministry of Sea Transportation and the National Transportation Safety Commission, can provide information to the public in an efficient and up-to-date manner regarding ship accident incidents.
Implementasi Model Prototype Sebagai Media Digitalisasi Bank Sampah Berbasis Android
Authors: Al Fatah Iqbal , Sancoko Sulistyo Dwi
Published: February 2024

Sampah adalah salah satu masalah yang serius. Pengolahan sampah dengan cara konvesional masih kurang membantu untuk mengubah pemikiran masyarakat tentang sampah. Adapun pengolahan sampah dengan cara yang lebih modern menggunakan sistem bank sampah. Bank sampah memiliki sistem jual dan beli sampah. Dengan membuat aplikasi berbasis android diharapkan ekosistem bank sampah akan lebih memudahkan pelanggan dan pengurus bank sampah. Rancangan aplikasi menggunakan metode prototype agar membermudah pengguna untuk menyamakan fitur sesuai yang diinginkan. Penelitian ini mengusulkan sistem pengajuan sampah agar masyarakat tidak perlu datang membawa sampah ke pengurus bank sampah terlebih dahulu sehingga meningkatkan efisiensi sistem bank sampah. Selain itu terdapat fitur pengambilan sampah dimana pengurus bank sampah akan mengambil sampah ke rumah Masyarakat sesuai jadwal yang sudah ditetapkan dan terdapat fitur untuk mencatat transaksi dari pengambilan sampah yang sudah dilakukan. Pada perancangan aplikasi yang digunakan yaitu use case dan activity diagram serta relasi database. Diharapkan aplikasi dapat membantu meningkatkan efisiensi serta efektifitas dari sistem bank sampah.
Penentuan Titik Lokasi Daerah Rawan Banjir Di Kabupaten Malaka Menggunakan Metode K-Means Clustering
Authors: Moruk Fransiskus Xaverius , Boboy Vito Daniel , Tahuk Wilhelmina Johana , Kamirsa Yota Putra , Kaesmetan Yampi R
Published: February 2024

Banjir di Kabupaten Malaka telah menjadi permasalahan utama dalam kehidupan sosial masyarakat. Pada musim hujan dalam waktu singkat beberapa lokasi mengalami banjir, yang mengakibatkan terhambatnya transportasi, aktivitas serta tidak jarang disertai dengan permasalahan kesehatan. Salah satu upaya untuk membantu lebih mempermudah informasi mengenai zona daerah rawan banjir dengan membuat pemetaan zona daerah rawan banjir menggunakan SIG, software QGIS dengan metode K-Means Clustering. Maka dilakukan digitasi peta kabupaten malaka agar memperoleh hasil pemetaan daerah rawan banjir. Proses pemetaan daerah rawan banjir diambil berdasarkan pengolahan data curah hujan, jenis tanah, lereng dan daerah aliran sungai Kabupaten Malaka. Hasil penelitian di peroleh 5 kelas daerah rawan banjir diantaranya sangat rawan, rawan, terancam, aman dan paling aman dengan perhitungan K-Means Clustering dengan 3 tingkat Cluster. Daerah yang berpotensi sangat rawan banjir adalah daerah yang berada di Kecamatan Malaka  Barat dan wewiku dan sedangkan daerah yang rawan banjir berada di Kecamatan Malaka Tengah dan Weliman. Kesimpulan penelitian tingginya potensi banjir dibeberapa daerah di Kabupaten Malaka selain disebabkan beberapa daerah memiliki curah hujan yang berbeda, juga dipengaruhi oleh jenis tanah, lereng dan aliran sungai.
A Study on Measures to Manage Civil-Military Conflicts Related to Unused Military Real Estate: Focusing on the Use of Military Sites After the Relocation of Military Units in the Border Area
Authors:   Korea Real Estate Academy, Shim Jae Jeong
Published: February 2024

1. CONTENTS
(1) RESEARCH OBJECTIVES
The purpose of this study is to contribute to national defense policies by analyzing the status of conflicts over unused military sites and deriving effective measures to manage such conflicts and utilize unused military sites.
(2) RESEARCH METHOD
For the study method, the status of conflicts over unused military sites in the border area since 2020 was analyzes, and the methods including literature review and advice from experts were used.
(3) RESEARCH FINDINGS
Conflicts can be effectively managed if the existing civil-local government-military cooperation system is operated in a timely and appropriate manner. it is suggested that the military continue to review practical utilization plans for unused military sites in the border area and make efforts to strengthen ties with local communities.
2. RESULTS
As a result of the study, there was a need to expand the sites for common use to ensure the benefits for both the private and the military in addition to legal and institutional supplementation for the use of unused military sites.
Optimizing Vertical-Axis Wind Turbine Performance and Determining Optimal Velocity and Deflector Configuration Based on Wind Speed
Authors: Lakshani, W.A.A.  , Piyathilaka, P.  , Thilakarathna, S.
Published: February 2024

In the realm of wind energy harnessing, Vertical-axis Wind Turbines (VAWTs) have emerged as promising alternatives. However, they face persistent challenges due to their low efficiency and poor self-starting properties. This study addresses these limitations and aims to unlock the full potential of VAWTs by conducting a comprehensive investigation. The focus of this research lies in determining the optimal operating velocities to enhance the performance of Savonius-type VAWTs, leveraging advanced deflectors. The study delves into an in-depth analysis of the optimal deflector distances and angles for the turbine, taking into account different geographical areas with varying wind velocities. To achieve this, a Savonius-type VAWT equipped with advanced wind deflectors was meticulously designed and tested. Utilizing SOLIDWORKS software, sophisticated turbine models were crafted, which were then subjected to rigorous analysis using ANSYS Fluent, Computational Fluid Dynamics (CFD) software. The research methodology involved conducting simulations across a range of wind velocities, spanning from 1 ms-1 to 8 ms-1, and changing the deflector distance from 100 cm to 150 cm from the centre of the turbine, and the deflector angle from 12 to 45 degrees. During the simulations, critical indicators of turbine performance, including moment coefficient, moment, force coefficient, and force acting on the blade, were closely examined. The study uncovered significant variations in the power output of the Savonius-type vertical-axis wind turbine (VAWT) fitted with an advanced deflector system, especially at lower wind speeds. Notably, the study revealed that at different wind velocities, the optimum deflector configuration changed, with the highest energy-generating capacity observed at 1 m/s for the wind turbine equipped with advanced deflectors. Outperforming the turbine lacking a deflector system, this inventive method demonstrates the capacity to notably boost energy generation. This novel method underscores the capacity for substantial improvements in energy production. Additionally, the research offers valuable insights into customized deflector distance and angle combinations, optimizing turbine performance for specific wind velocity ranges. By strategically positioning the deflectors, higher energy output can be achieved, making the VAWT system more adaptable and efficient across diverse wind conditions

 

Keywords: Vertical-axis wind turbine, Wind deflectors, Computational Fluid Dynamics, SOLIDWORKS, ANSYS Fluent
Assessing the Ecotourism Potential in Sarasalai-Kuruvikkadu and Adjacent Areas in the Jaffna Peninsula, Sri Lanka
Authors: Packiyanathan, R.  , Wijesundara, C.S.
Published: February 2024

Ecotourism is environmentally responsible, enlightening travel and visitation to relatively undisturbed natural areas in order to enjoy and appreciate nature (and any accompanying cultural features both past and present) that promotes conservation, has low visitor impact, and provides for beneficially active socio-economic involvement of local populations. Sarasalai Kuruvikkadu and adjacent areas such as Anthanathidal and Kapputhu in the Jaffna District are rich with significant extents of mangroves that are notable for their waterbirds’ diversity. The diversity and abundance of birds and the ecotourism potential of those areas have not been evaluated probably due to the three decades long civil unrest. The objective of the present study was to evaluate the nature-based ecotourism potential of Sarasalai Kuruvikkadu and adjacent areas. Geographic Information System was used as tool for identify the potential status of entire Jaffna District. Suitability analysis was applied and Multi Criteria Decision Method (MCDM) and criteria ranking method were used. Three aspects such as Flamingo sites (13), other birds’ sites (40) and mangroves areas (66) in the district including study areas were considered for suitability analysis. The evaluating process for ecotourism sites were conducted based on criteria viz. species richness (of birds), tourist preferences, proximity to residential areas, proximity to accommodation, distance from roads, scenic beauty and density and distribution. Based on each three analysis, Potentials sites were derived based on priority ranking such high, moderate, and low potential. Through the overall analysis, the study areas, Sarasalai and Anthanathidal come under the high potential areas (> 75%) and Kapputhu represents lower potential (<45%) based on flamingo and other birds aspects but based on mangrove sites’ analysis, both areas represent high potential status and Kapputhu represents lower status. Our recent studies have shown that Sarasalai is home to at least 82 species of waterbirds (Margalef’s Index 6.74) and Anthanathidal represents 47 species (Margalef’s Index 9.23) and Kapputhu 22 species (Margalef’s Index 3.04). In addition to some of mammals, crocodiles and fishes were recorded in the study areas that have a high potential for promoting ecotourism. The areas had a high abundance of flamingos, which are a major Avi-tourist attraction. The study areas have large extents mangroves (896.6 ha) with four true mangrove species, Excoecaria agallocha, Lumnitzera racemosa, Rhizophora mucronate and Aegiceras corniculatum which is a unique ecotone and attraction and sources for ecotourism. Hence these areas have a great nature-based tourism potential. There is also a great potential for the participation of local people for promotion of ecotourism in the Jaffna peninsula, elevating their poverty.

 

Key words: Sarasalai, Kuruvikadu, Ecotourism potential, Mangroves, Flamingo