bluuebunny/crossref_metadata_2025 huggingface dataset:
Cuide você mesma da sua pele
Authors: Nunes Ana Canabarro
Published: September 2024

Um livro que ajuda as próprias mulheres a cuidar da pele vai além de uma simples rotina de beleza: ele empodera e ensina a importância do autocuidado, promovendo uma relação mais profunda com o próprio corpo. Ao oferecer orientações práticas e econômicas, essas obras ajudam as mulheres a compreender melhor suas necessidades individuais, considerando não apenas o tipo de pele, mas também os desafios que podem surgir em diferentes fases da vida, como mudanças hormonais, estresse e exposição a fatores ambientais

Esses livros costumam abordar temas fundamentais, como a escolha de produtos adequados para cada tipo de pele (oleosa, seca, mista ou sensível), a importância da proteção solar, a prevenção de sinais de envelhecimento, além de tratamentos para questões comuns como acne, manchas e desidratação. De maneira clara e didática, eles orientam a criação de uma rotina personalizada de cuidados, desmistificando ingredientes, fórmulas e tendências de mercado.

Além do aspecto técnico, muitos desses livros também trazem uma abordagem panorâmica para o bem-estar emocional, lembrando que o cuidado com a pele é, acima de tudo, uma forma de carinho consigo mesma. Eles incentivam a prática de rituais diários que vão além da estética, proporcionando momentos de relaxamento, autoestima e autoconfiança

Ao se dedicar a esses ensinamentos, as próprias mulheres aprendem a observar sua pele de maneira mais atenta e a fazer escolhas conscientes, construindo uma relação mais saudável e autônoma com seu corpo. Dessa forma, um livro que ajuda no cuidado com a pele não é apenas uma fonte de informações, mas um guia para o autoconhecimento e o fortalecimento da autoestima
Possibilidades e Desafios da Inteligência Artificial nas Práticas Pedagógicas de Professores da Educação Profissional de Adolescentes em Conflito com a Lei.
Authors: Resstel Renata , ARAGAO ALEXANDRA OLIVEIRA , Coelho Marcos Antônio Pereira , Souza Carlos Henrique Medeiros de
Published: September 2024

A integração da Inteligência Artificial (IA) nas práticas pedagógicas tem despertado interesse significativo, especialmente em contextos desafiadores, como no caso da educação de adolescentes em confl
Sinergia entre Planejamento Pedagógico e Inteligência Artificial: Um estudo de caso
Authors: ARAGAO ALEXANDRA OLIVEIRA , Resstel Renata , Souza Carlos Henrique Medeiros de
Published: September 2024

O planejamento pedagógico é essencial para o ensino e aprendizagem, definindo objetivos, conteúdos, metodologias e ferramentas de avaliação. Um bom planejamento garante aulas dinâmicas e eficazes. A e
Data to AI: Building a solid data foundation for your generative AI applications in the cloud
Authors: JOBIN GEORGE
Published: September 2024

In the age of artificial intelligence (AI) and big data, the burgeoning field of generative AI presents unique opportunities for innovation and problem-solving. However, the effectiveness of generative AI applications is heavily contingent upon the quality and structure of the underlying data. This paper discusses the importance of establishing a solid data foundation for generative AI applications deployed in the cloud. By examining the interplay between data management, cloud infrastructure, and AI capabilities, this article aims to elucidate best practices for organizations looking to harness the power of generative AI effectively.
Reclaiming Black (Female) Subjectivity and the Othered Gaze in Harriet's Incidents in the Life of a Slave Girl: Analyzing White Representation in the Black Imagination
Authors: Olubukola Deborah Odedairo
Published: September 2024

This essay explores the representation of whiteness and the reclamation of black (female) subjectivity in Harriet Jacobs' Incidents in the Life of a Slave Girl. Written by a black female author during the antebellum period, Jacobs’ narrative offers a unique critique of the hegemonic power structures that defined her era. The essay examines how Jacobs uses her narrative to subvert the dominant racial and gender ideologies, presenting whiteness as the Other and reclaiming her identity and agency through the act of writing. By analyzing the text through the theoretical lenses of Slave Narrative, Feminist Discourse, and Otherism, this paper highlights the complex ways in which Jacobs negotiates her subjectivity in a society that systematically denies (her) black humanity.
Exploiting the potential of images from the aster and landsat 9 satellites for the mapping of hydrothermal alteration minerals associated with mineralization in the departments of Abtouyour and Guera, located in the Chadian massif central (republic of Cha
Authors: AMINE KARIFENE  , PODO MAHAMAT MATAR  , MACKAYE HASSAN TAΪSSO  , MAMADOU MALLOUM AHMAT  , MAHAMAT ALI ATEIB
Published: September 2024

This article deals with the use of remote sensing with Aster and Landsat 9 imagery for mapping hydrothermal alteration minerals and oxides in relation to mineralization. Aster VNIR (Visible and Near Infrared) and SWIR (Mean Infrared) data are used to calculate PCA (Principal Component Analysis), RBD (Relative Band Depth) and BR (Band Ratio). These different parameters are used to highlight the groups of hydrothermal alteration minerals and oxides. Landsat data are used for mapping lithological units using PCA and BR. The identified mining areas coincide with the gold planning sites of Toumka and Lellé and allow to know the interesting areas for future mining prospecting campaigns in the departments of Abtouyour and Guéra (Guéra province).
Artificial intelligence-powered analysis of medical images for early detection of neurodegenerative diseases
Authors: Samuel Fanijo  , Uyok Hanson  , Taiwo Akindahunsi  , Idris Abijo  , Tinuade Bolutife Dawotola
Published: September 2024

Neurodegenerative diseases including Alzheimer's, Parkinson's, and Huntington's offer serious health issues to people all over the world, due to their progressive nature and lack of effective therapies. In order to improve patient outcomes and allow for prompt action to limit the progression of the disease, early identification is essential. With a focus on deep learning methods, this study investigates the use of AI-powered analysis of medical images for the early detection of neurodegenerative disorders. The use of several medical imaging modalities, such as PET, CT, and MRI, in identifying disease biomarkers at an early stage is investigated. The usefulness of deep learning techniques to automate feature extraction, categorize illness states, and track disease progression is highlighted. These techniques include convolutional neural networks [CNNs], recurrent neural networks [RNNs], and generative adversarial networks [GANs]. The study also discusses the difficulties in using AI implementation, including data quality, image variability, and the interpretability of AI models. Furthermore, the study explores possible regulatory and ethical considerations in clinical adoption. It also examines AI's growing role in clinical settings and its ability to work with personalized medicine which present promising opportunities for improving the diagnosis and management neurodegenerative disease. The final section of this paper outlines important future directions for increasing the use of AI in clinical care, including multi-modal fusion and transfer learning.
Assessment of heavy metal and physicochemical parameters in the soil from automobile mechanic villages in Makurdi, Nigeria
Authors: Raymond Msughter Agaku  , Gloria Ojochegbe Friday  , Samuel Omenka Ode  , Matthew Inalegwu Amanyi  , Onwoke Ebibi Elijah  , Favour Ember Waghbo
Published: September 2024

The accumulation of spent oil from mechanic workshops in Makurdi, Nigeria was assessed of heavy metals (zinc, chromium, copper, Nickel) concentration. soil samples were collected from four points each from three different mechanic workshops at depth of (0-5) cm, 20 g of soil was dissolved in 100 ml of distilled water for 30 minutes. Filter using sieve to get the stock, the concentration of heavy metals was detected using Lovibond® Tintometer Model MD 600, the results indicate the following levels, in Kanshio. Zn 020, Cr 900, Cu 300, Ni 000, in Wadata Zn 000, Cr 000, Cu 000, Ni 72.5andnorth bank Zn 60, Cr 0.00, Cu 700, Ni 0.00. Physicochemical parameters where also determine with the use of Hannah Multimeter water tester model HI 98129. pH, Electrical Conductivity, total dissolved solids and Temperature were determined by using HANNA®multimeter water tester model HI 98129.The results indicate the following for Kanshio (pH 5.3, TDS 506000 mg/kg, EC 1012 us/cm, Temperature 27.9 oC, moisture 12.6 %, N 152000 mg/kg, P 2000 mg/kg potassium 800 mg/kg) for Wadata (pH 5.1, TDS 362000 mg/kg, EC 720 us/cm. Temperature 27.2 oC, moisture 6.1%, N 532000 mg/kg, P 1700 mg/kg, potassium 2100 mg/kg). For North bank (pH 7.6, TDS 453000 mg/kg, EC 908mg/cm, Temperature 26.8 oC, moisture 8.9%, N 152000 mg/kg, P 2300 mg/potassium 600 mg/kg). The findings of this pollution levels of these mechanic villages would add to the environmental database which will assist in the monitoring and comprehensive waste management plan of high concentration in heavy metals in the soil.
Health risk assessment of radiation dose level in oranges and mangoes fruits from farms in Benue State, Nigeria
Authors: Raymond Msughter Agaku  , Precious Egwuchukwu Onah  , Samuel Omenka Ode  , Matthew Inalegwu Amanyi  , Eghwubare Akpoguma  , Elijah Ebibi Onwoke  , Waghbo Ember Favour
Published: September 2024

The health risk and radiation dose level in Oranges and Mangoes due to ingestion from farm locations in Benue State was assessed. A total of fifty (50) samples were collected in five different farm locations in Benue State, the samples were washed with distilled water to remove dirt, a radiation meter was placed 10cm from the fruits and measurements were taken for 30 seconds, background radiation levels and radiation dose level from the fruits were measured and calculated. The results showed that the radiation dose level for Oranges ranged from 1.489 to 2.365 mSv/hr and 1.122 to 1.899 mSv/hr for mangoes and the Annual Equivalent Doses (AED) for Oranges and Mangoes consumption was estimated to be 0.107 and 0.027 mSv/yr, respectively. Both values exceeded the World Health Organization (WHO) and the United States Environmental Protection Agency (USEPA) recommended limit of 1.0 mSv/yr. The high radiation levels could be attributed to naturally occurring radioactive materials in the soil or water, contamination from nearby sources. The Excess Lifetime Cancer Risk (ELCR) was calculated, with values of 0.2677 for Oranges and 0.683 for Mangoes, which are lower than the safe limit specified by WHO. While there is minimal risk associated with radiation exposure from consuming these fruits, further monitoring and investigation are necessary to ensure food safety and security in the study area.
Mediation of customer satisfaction: E-service quality, brand trust, and reuse intention
Authors: Ni Putu Devighita Tasya Maharani  , I Putu Gde Sukaatmadja  , I Gst. Ayu Ketut Giantari  , Gede Suparna
Published: September 2024

The purpose of this study is to explain the role of customer satisfaction in mediating e-service quality and brand trust on reuse intention in the Traveloka application. The theories used are the Techlonogy Acceptance Model (TAM) and Expectancy Disconfirmation Theory (EDT). This research is a type of quantitative research that is associative in nature. The population in this study are all Traveloka application users who have transacted at least three (3) times in one year. The sampling technique used purposive sampling with a total sample member of 205 respondents. Respondent data collection was carried out by distributing questionnaires. The data analysis technique in this study used PLS-based SEM. The results showed that all variables had a positive and significant effect. Customer satisfaction acts as a partial mediation in mediating the effect of e-service quality and brand trust on reuse intention on the Traveloka application. The results of this study can provide an empirical contribution about the relationship between the variables of e-service quality, brand trust, customer satisfaction, and reuse intention for the development of the Technology Acceptance Model (TAM) and Expectancy Disconfirmation Theory (EDT). Traveloka management can implement a marketing strategy that emphasizes service quality and information accuracy to increase customer intention to reuse the Traveloka application.
Acute interstitial lung disease revealing dermatomyositis: Case study and analysis of diagnostic challenges
Authors: Maryem Hindi  , Lina Romane  , Hasna Yassine  , Mohamed Ijim  , Oussama Fikri  , Lamyae Amro
Published: September 2024

Dermatomyositis (DM) is a rare, heterogeneous autoimmune disease of unknown cause, characterised by non-infectious inflammatory involvement of the muscles and skin associated with vasculopathy. It is also associated with visceral manifestations, particularly of the lungs. Various respiratory manifestations, sometimes combined, may be observed in DM, including involvement of the aerodigestive tract, involvement of the respiratory muscles and diffuse interstitial pneumonitis (DIP). Diffuse interstitial lung disease (DIL) is common and can be acute in onset, and is often associated with a specific class of myositis autoantibodies, including anti-MDA-5 antibodies, which are associated with a particular phenotype of DM, in which muscle involvement is minimal or absent but the risk of rapidly progressive interstitial lung disease is particularly high. We report a case of rapidly progressive acute diffuse interstitial lung disease revealing amyopathic dermatomyositis characterised by the presence of anti-MDA-5 autoantibodies.
Unlocking therapeutic potential of Shimbi Dhanya for Human Wellness
Authors: Barinderjit Kaur  , Mehak Saini  , Rohit Johari
Published: September 2024

Ayurveda is the science of life that aims to maintain health in a healthy person and cure the diseased person. Food (ahara) is the foremost among these three pillars of ayurveda (Trisutra ) for obtaining longitivity of life. Among various ancient literature available including Bhavprakash in 16th century has mentioned shimbidhanya (pulses) in Dhanyavargah (group of grains). Shimbidhanya varga (group of legumes and pulses) includes mudga, masha, rajamasha, Kulatthah etc. Shimbidhanya (pulses) are also known as vaidala (dicotyledons) and this category of pulses are the main source of proteins for vegetarians. Thie present study aims to evaluate the enlisted shimbidhanya (pulses) for their ayurvedic properties in relation to phytoconstituents and therapeutic uses and their role in longevity of life.
Analyzing the efficiency of AI-powered encryption solutions in safeguarding financial data for SMBs
Authors: Samuel Omokhafe Yusuf  , Amarachi Zita Echere  , Godbless Ocran  , Justina Eweala Abubakar  , Adedamola Hadassah Paul-Adeleye  , Peprah Owusu
Published: September 2024

The study explores the significance of artificial intelligence (AI) in advancing encryption technologies, focusing on small and medium-sized businesses (SMBs) and their financial data security needs. As cyber threats evolve and quantum computing looms on the horizon, traditional encryption methods—such as symmetric encryption (AES) and asymmetric encryption (RSA)—are increasingly challenged. The study assesses how AI-driven encryption solutions address these challenges and enhance data protection. Key objectives include reviewing the effectiveness of traditional encryption methods and comparing them with cutting-edge AI-powered approaches. The methods reviewed encompass homomorphic encryption, which allows for computations on encrypted data without decryption, quantum-resistant algorithms designed to withstand quantum computing threats, and adaptive encryption that adjusts security measures based on real-time risk assessments. Major findings indicate that while traditional encryption methods remain foundational, they are often insufficient to address modern threats and future uncertainties. AI-enhanced solutions offer significant improvements, such as real-time threat detection, scalability, and adaptive security. In particular, homomorphic encryption and quantum-resistant algorithms present promising advancements for protecting sensitive financial data against emerging threats. The study highlights the practical implications of integrating AI into existing encryption infrastructures, including potential cost implications, scalability challenges, and the need for compatibility with legacy systems. It underscores the importance of a hybrid approach, combining traditional and AI-driven encryption methods, to build a resilient and future-proof security framework for SMBs. This approach ensures robust financial data protection in a rapidly evolving digital landscape.
Examining the role of virtual teams on project management processes in the Nigerian fintech sector
Authors: Kelvin Ndubuisi Agbakwuru  , Benedict Osagie Iyawe  , Victor Chukwudumebi Onyekonwea  , Israel Olamide Oyedare
Published: September 2024

This study examined the role of virtual teams on project management processes in the Nigerian fintech industry. To achieve this aim, the study sought to examine how communication technology utilisation, trust, and geographical distribution of team members affected the project management processes of virtual team members in the Nigerian fintech industry. Building upon the theoretical frameworks of social presence theory and transaction cost theory, the study adopted a quantitative approach and used a sample of 385 employees of fintech firms in Nigeria. Using an electronic close-ended questionnaire (Google forms), data were collected from 378 participants, indicating a response rate of 98.2%. Purposive sampling technique was used to select the study’s participants. Data were analysed using both descriptive (frequencies and percentages) and inferential statistics (multiple linear regression) via the aid of STATA 17. Findings from the study revealed that communication technology utilization (β = 0.3114694, p < 0.05) and geographical distribution of team members (β =0.7622249, p < 0.05) both had statistically significant effects on project management processes. Trust was found to have an insignificant effect on project management processes (β = -0.0085031, p > 0.798). The study concluded that virtual teams significantly and positively affects project management processes in the Nigerian fintech industry, and recommends that firms in the industry should continue with the use of virtual teams in their given projects. Also, the study recommends that policies regarding work in the virtual environment should be formalised so as to maximise the benefits associated with virtual work.
Innovative practices and competitive advantage among SMEs: An empirical review
Authors: Ifeanyi. E. Nuel Okoli  , Chigozie Patrick Moneme  , Nnenne Ifechi Adani
Published: September 2024

The study investigated the influence of innovative practices on competitive advantage of SMEs in Awka Metropolis, Anambra State, Nigeria. This study is anchored on Diffusion of Innovation Theory (DOI). The study employed correlational research design. The target population of the study are registered SMEs in Awka Metropolis, Anambra State Nigeria. The population of the study which had six hundred and twenty eight (628) owners/managers of SMEs. Primary data was used and was collected using questionnaires. The research instrument was validated using face and content validities. The reliability of the items was tested using Cronbach Alpha. Data collected for this study were analysed using the linear regression analysis in order to determine the relationship between the variables. The study revealed that the association between innovative practices and competitive advantage is unequivocally positive. The study concluded that innovative practices such as technological innovation and marketing innovation are key drivers of sustainable competitive advantage. This study recommended that small and medium enterprises (SMEs) need to continuously monitor and adopt emerging technologies to stay ahead of competition and also SMEs need to harness and invest in digital marketing channels to drive innovation and reach new customers.
Unraveling the Dynamics of Rice Yield in the Zio River Valley, Togo: A thorough analysis of influencing factors
Authors: Mèm Tchokozi  , Kwasi Dzola Ayisah  , Afoulélou Aboulaye  , Gbénonchi Mawussi
Published: September 2024

Despite Togo's rice production potential, local production only meets 32% of demand, mainly due to relatively low agricultural productivity. With the aim of improving this situation, this study was undertaken to analyze the factors influencing rice production in the Zio River Valley, which is one of Togo's largest rice-growing areas. Data collected from 413 farmers in the region were analyzed using the Cobb-Douglas production function, incorporating variables such as income, farm size, chemical fertilizer use, organic fertilizer use, pesticide use, group membership, experience, education level, gender, access to credit, access to agricultural advice, age, continuous access to water and marital status. The results indicate that only certain factors, such as farm size, income, amount of chemical fertilizer, use of organic fertilizer and experience, have a significant positive impact on paddy rice production, furthermore the No-formal education farmers show a decrease in production. This study will guide decision-makers and farmers in adopting more effective farming practices to significantly improve rice production in Togo. Emphasis should be placed on aspects such as farm size, income, fertilizer use and experience to boost rice productivity.
Architecture Pruning Technique (Pollarding) of Moringa (Moringa oleifera)
Authors: Syazrul Iqmal Jalani  , Nurhazwani Mustaffer  , Mohd Hazrul Zairi Tohid  , Ahmad Ariff Luqman Abd. Hamid  , Norzainih Jasmin Jamin  , Mazidah Mat
Published: September 2024

Moringa is a fast-growing, deciduous tree that can reach a height of 10–12 m and is not traditionally pollarded in agriculture production. A field experiment was conducted between May 2023 and Jun 2024 in MARDI, Serdang to determine the effect of pollarding at different levels of pruning heights on vegetative growth and yield of Moringa. The trial was laid down in a randomized complete block design (RCBD) with four replications and five plants per plot and the data was analyzed using ANOVA in SAS (SAS 9.4) software. Differences between means were compared using Duncan’s Multiple Range Test (DMRT) at P≤0.05. Five months after being cultivated on field condition, trees were pruned pollarding at four levels: 30, 60, 90 cm and control (unpruned). Subsequently, the growth performance was evaluated by collecting data on plant height, diameter of the main stem, length of the secondary branch, number of budbursts, diameter of the secondary branch and leave area. Meanwhile, the yield components were recorded based on the fresh weight and dry weight of the leaves. Results showed that different levels of pruning heights significantly affected overall dependent variables. Unpruned trees produced an optimal response for all dependent variables, but it is not suggested due to the trees growing erratically, challenging to harvest, and having an uneven canopy structure. Meanwhile, for the yield components' pruning at 60 and 90 cm from the ground level was comparable and did not differ significantly from unpruned trees. Therefore, pruning at 60 cm was suggested as an architecture pruning technique for moringa production cultivated on mineral soil under tropical climates. Pollarding can be a way to improve the productivity of agricultural produce, but further evaluation of yield trends must be conducted to ensure the consistency of production.
Renewable energy: A lever for a sustainable future in Africa
Authors: Mbaye GUEYE  , Momath NDIAYE  , Madialène SENE
Published: September 2024

Drawing on documented evidence and an analysis of ongoing projects, this paper elucidates the benefits, challenges, and socio-economic impacts of renewable energy on rural communities in Africa. It further argues that, despite limitations in infrastructure and financing mechanisms, the growing influx of investments in digital technologies presents a pivotal opportunity for sustainable development across the continent. Moreover, the analysis compares how countries such as Senegal and Ethiopia have capitalized on their renewable energy potential through differing regulatory frameworks and financing models.
Impact of BMI on childhood growth, pubertal timing, and bone maturation: A comprehensive review and clinical implications
Authors: Ashraf Soliman  , Fawzia Alyafei  , Ahmed Elawwa  , Nada Soliman  , Sohair Elsiddig  , Nada Alaaraj  , Noor Hamed  , Shayma Ahmed  , Zeyad Elawa  , Mohamed Alkuwari
Published: September 2024

Introduction: Childhood obesity and undernutrition significantly affect growth patterns, pubertal timing, and bone maturation, leading to long-term health implications. Materials and Methods: A comprehensive literature review was conducted using databases such as PubMed, Google Scholar, and Scopus. Twenty-four studies, including a total of 40,732 patients, were analyzed from two tables examining the impact of BMI, growth patterns, pubertal timing, and bone maturation. Results: Children with high BMI exhibit accelerated linear growth during early childhood, that may be driven by elevated leptin levels, which stimulate growth before puberty. Despite early growth advantages, these children experience reduced height gain during adolescence due to advanced bone maturation and earlier closure of growth plates. High BMI is strongly linked to early puberty, especially in girls, as increased adipose tissue raises leptin levels, triggering early pubertal onset. Boys, however, show variability in pubertal timing, with severe obesity sometimes delaying puberty. In contrast, children with low BMI or undernutrition demonstrate delayed linear growth and delayed puberty. Nutritional deficits lead to reduced growth velocity, delayed pubertal onset, and extended pubertal periods due to a lack of adipose tissue and hormonal deficiencies in leptin and kisspeptin. Nutritional rehabilitation promotes catch-up growth, allowing for extended growth potential by delaying growth plate closure. However, full recovery may not occur in cases of prolonged or severe undernutrition. Advanced bone age in high BMI children shortens the pubertal growth spurt, while delayed bone maturation in undernourished children offers a prolonged period for potential growth, contingent on timely nutritional support. Conclusion: Timely interventions for childhood obesity and undernutrition are critical to improving growth outcomes and preventing long-term developmental delays. Early identification, nutritional rehabilitation, and lifestyle modifications can help optimize growth and pubertal development by addressing both advanced and delayed growth trajectories.
Effect of staff competence on customer loyalty in the hospitality industry in Sri Lanka
Authors: Rasika Lakshan Gunawardana  , Janaka Rumesh Gamlath  , Dillina Herath
Published: September 2024

This research investigates the relationship between staff competence and customer loyalty within the Sri Lankan hospitality industry. This study addresses a critical gap in understanding how skilled and professional service personnel impact guest satisfaction and long-term patronage. Simple random sampling was utilized to gather data from the 384 respondents using a survey questionnaire. Five independent variables were identified from literature which are staff knowledge, staff skills, staff attitudes, staff friendliness and staff responsiveness. All five variables exhibited positive correlations with customer loyalty and significant association with customer loyalty. According to the findings, staff competence is vital in encouraging customer loyalty within the Sri Lankan hospitality industry. The recommendations include that hoteliers prioritizing employee development and cultivating a service-oriented culture can create lasting bonds with their guests, contributing to long-term business success. This research provides valuable insights for academics and industry practitioners to explore further and strengthen the crucial link between service quality and customer loyalty in the dynamic Sri Lankan market.
Gynecological disease prediction by machine learning
Authors: Ashraful Islam  , Rupa Parvin  , Tania Sultana
Published: September 2024

The rapid change in climate affects the ecosystem of animal life worldwide. The consumption of processed foods and excess pesticides on crops create different difficulties for the human body. Nowadays especially girls are suffering from various kinds of gynecological diseases. Miscarriage and Anemia are very common among them. Machine learning algorithms are well-liked and widely used for disease forecasting. The detailed information we obtained from the survey established the data set. To predict gynecological diseases, we utilized 5 machine learning algorithms. Three of them are statistical based like Decision Tree, K- Nearest Neighbor (KNN), and Naive Bayes classifier and 2 are hybrid modeling like Decision tree and SVM(DT&SVM), Random Forest, and Naïve Bayes (RF&NB). We took into account the top algorithm for gynecological illness prediction, according to the correct interpretation. The best results were obtained by the Decision Tree ensemble and Naïve Bayes out of all the algorithms, with an accuracy of 86.30% and a Recall score of 87.15%. Thanks to the top completion method, our model has excellent gynecological illness prediction capabilities.
Achieving net zero emissions in sustainable environmental remediation through the integration of IoT and Big Data
Authors: Adejumo Azeez Adewale  , Adeyemi Zaheed Oshilalu  , Olubunmi Ademuyiwa  , Feyisayo Ajayi
Published: September 2024

This study explores the integration of Internet of Things (IoT) and Big Data technologies to achieve net zero emissions in environmental remediation. The research focuses on how IoT sensors and Big Data analytics can enhance the monitoring, management, and optimization of remediation processes, leading to substantial emission reductions. By leveraging real-time data collection and advanced analytics, the study aims to improve the efficiency of remediation technologies, reduce operational costs, and meet sustainability targets. The research will evaluate case studies where IoT and Big Data have been effectively utilized in environmental remediation, providing insights into best practices and potential challenges. The goal is to demonstrate how these technologies can contribute to sustainable remediation practices and support the achievement of net zero emissions. By integrating IoT and Big Data, the study seeks to develop practical solutions for optimizing environmental remediation efforts and advancing sustainability goals. The findings will offer a comprehensive understanding of the benefits and limitations of these technologies in the context of environmental remediation.
Mathematics Performance and Polya’s Method in Problem Solvin
Authors: Al-Jehada B. Gulam  , Joel C. Arenas
Published: September 2024

The perpetual challenge of uncertain problem-solving skills among local education administrators is underscored by data from a public science and technology high school despite being a performing public science high school, students have been still struggling to enhance their critical thinking skills, posing an unceasing issue. The purpose of this study is to determine the impact of Polya's four-step method on the Grade 9 students' performance in mathematics. Utilizing a one-group pretest-posttest design, the researcher aimed to determine which aspects of Polya's method improved students' mathematics performance. The data analysis indicated a significant improvement in students' problem-solving performance using Polya’s four-step method from pre-test to post-test. This study reaffirms that Polya’s method helps students develop a structured way of thinking and solving problems, which is fundamental for their mathematical development.
Development of a questionnaire on high school teachers' perceptions of differentiated learning in schools
Authors: Putu Satya Narayanti  , Mohammad Jamhari  , Ratman Ratman  , Astija Astija
Published: September 2024

Differentiated learning is an approach that adapts to each student's learning needs. Teachers provide facilities that suit students' individual needs, bearing in mind that each student has unique characteristics and cannot be treated uniformly. This article aims to provide a deeper understanding of learning differentiation and explore teachers' perceptions regarding its implementation in the classroom. The results of interview research show that the purpose of differentiated learning is to coordinate learning by paying attention to students' interests, readiness and learning preferences. This aims to help all students achieve learning goals, increase motivation and learning outcomes, and establish a harmonious relationship between teachers and students, so that students are more enthusiastic about learning. In conclusion, differentiated learning gives students the opportunity to learn naturally and efficiently with the help of teachers who are able to combine the required methods and approaches. There are several obstacles that arise, such as limited facilities and infrastructure that support the differentiated learning process, teachers need time to prepare learning instruments, appropriate methods and appropriate media, implementing differentiated learning requires relatively high costs and teachers must have good classroom management skills.
CalcEs-supported activities in reciprocal teaching on senior high school students’ mathematics learning
Authors: Tashana T. Daquiado  , Joel C. Arenas
Published: September 2024

CalcEs is an educational software application that enhances students' comfort and efficiency in problem-solving. The integration of reciprocal teaching with educational software like CalcEs not only improves mathematical understanding but also aligns with the broader goals of developing 21st-century skills, such as critical thinking, collaboration, and digital literacy. This quasi-experimental research investigated the impact of CalcEs-supported activities on students' performance in General Mathematics. The control group, consisting of 24 Grade 11 Humanities and Social Sciences (HUMSS) students, used conventional teaching methods, while the experimental group, comprising 30 Grade 11 Shielded Metal Arc Welding (SMAW) students, engaged in reciprocal teaching with CalcEs supported activities. Significant differences were observed in the pre-test and post-test scores within both groups, as well as between the post-test scores of the two groups, indicating that CalcEs-supported activities in reciprocal teaching positively influenced student performance.
Enhancing machine optimization through AI-driven data analysis and gathering: leveraging integrated systems and hybrid technology for industrial efficiency
Authors: Michael Onyekachukwu Nwabueze  , Abdulbasit Aliyu  , Kayode Joshua Adegbo  , Chukwujekwu Damian Ikemefuna
Published: September 2024

Industrial automation has long been a driving force in enhancing manufacturing efficiency and productivity. However, traditional systems often rely heavily on human intervention, which can introduce errors and inefficiencies. This article explores the revolutionary potential of deep learning in transforming industrial automation by minimizing human involvement and optimizing operational performance. We present a comprehensive methodology for integrating deep learning models into automation systems, focusing on improving throughput and managing downtime and failures more effectively. The study employs advanced deep learning algorithms to analyse real-time data from industrial processes, enabling predictive maintenance and automated decision-making. Key findings reveal that incorporating deep learning significantly enhances system performance by reducing downtime, preventing failures, and increasing overall throughput. Additionally, the research highlights how minimizing human intervention can lead to more reliable and efficient automation systems. The implications of these findings suggest a paradigm shift in industrial automation, where intelligent algorithms drive process optimization and operational reliability. This shift promises to enhance manufacturing capabilities, reduce operational costs, and improve overall system resilience.
Nursing care aspects and indicators impacted by information and communication technology: Systematic review
Authors: Dalal Abdullah Al.Fandi  , Zainab ibraheem Al Fadhel  , Fatimah Abdullah Alzouri  , Zahraa Abdulkarim  ALnass  , Zainab Qassim Alhassan  , Fatimah rashed alahmari  , Asma Naji Al Huwaidi  , Suzan saud alsaeed  , Yasmeen Abdrabulshaheed Alsukairi  , Maryam Hassan Al Hamadah
Published: September 2024

Background: Information technology is used in healthcare to solve the problems of an aging population, an increase in chronic illnesses, and the growing need for autonomy, independence, and quality of life. The adoption rate of IT applications among professionals such as nurses is relatively low, and it appears that not using them is the norm. Finding nursing care aspects and indications that have been altered by IT was our goal in doing this research. Method: The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement (9) was adhered to in this systematic review. Our search objective was to locate papers that addressed nursing care aspects and indicators that were changed by IT. The search method was used in the Google Scholar, CINAHL, and PubMed databases between 2015 and 2023. Result: Five publications were included in this systematic review. Four studies found elements related to teams that affect the adoption of telemedicine. The organizational and team culture is one of the main determinants of technology adoption. One study found that creative companies support employees in adjusting to new circumstances and that telemedicine implementation requires cultural transformation in enterprises. Implementing telemedicine in a company can be hindered by working in a changing environment and resisting change. Employees felt overwhelmed by all of the changes they experienced at work. Workloads increased as other advances were sometimes considered more significant than the use of telemedicine. Conclusion: When technology is used improperly, nurses can get disillusioned with its use for tasks that are traditionally completed by humans. Therefore, if healthcare professionals want to include telemedicine into their regular workflow, they must remove hurdles.
Pengaruh Return On Assets, Debt To Equity Ratio, Total Assets Turn Over, Operating Cash Flow Dan Firm Size Terhadap Dividend Payout Ratio Pada Perusahaan Yang Terdaftar Di Jakarta Islamic Index (JII) Periode 2022
Authors: Trizenda Nadiyah , Frima Rini , Sriyunianti Fera
Published: September 2024

The purpose of this research was to determine the effect of return on assets, debt to equity ratio, total assets turnover, operating cash flow and firm size on the dividend payout ratio of companies listed on the Jakarta Islamic index for the 2017-2021 period. There are 30 companies listed on the Jakarta Islamic index. The sampling technique used was purposive sampling so that 10 companies were used as samples in this study. Research data obtained from the website www.idx.co.id. The data analysis technique used panel data regression test. Data analysis using STATA 14 software. The results showed that return on assets had a positive effect on the dividend payout ratio, debt to equity ratio and total assets turnover had no effect on the dividend payout ratio, operating cash flow had a positive effect on the dividend payout ratio, and firm size had a negative effect on the dividend payout ratio. Return on assets, debt to equity ratio, total assets turn over, operating cash flow and firm size simultaneously affect the dividend payout ratio.
Okul Yöneticilerinin ve Öğretmenlerin Perspektifinden Okullarda Şeffaflık: Nitel Bir Çalışma
Authors: Kahveci Gökhan , Babayiğit Neslihan
Published: September 2024

Bu araştırmanın amacı, okul yöneticileri ve öğretmenlerin okullarda şeffaflık algılarını, beklentilerini ve deneyimlerini nitel bir yaklaşımla belirlemektir. Araştırmanın çalışma grubu, 2022-2023 eğitim öğretim yılında Rize il merkezindeki ilkokul, ortaokul ve lise seviyesinde görev yapan 27 kişiden meydana gelmektedir. Araştırmada veri toplamak için yarı yapılandırılmış görüşme soruları hazırlanmıştır. Bununla birlikte araştırmada, verileri daha anlaşılır kılmak amacıyla kavramlar ve ilişkilerin kullanıldığı bir yöntem olan içerik analizi uygulanmıştır. Araştırma sonucunda, okul yöneticileri, bilginin detaylı, güvenilir, tam ve doğru olmasını önemserken, öğretmenler arasında bilgilerin güvenirliği konusunda farklı görüşler bulunmaktadır. Okul yönetiminin karar alma süreçlerinde öğretmenleri dahil etme çabaları ve öğretmenlerin bu süreçlere katılımı, eğitim kalitesine etkisi, iletişim ve empati gibi temaları içermektedir. Ancak, bazı öğretmenler, yöneticilerin kendi bakış açıları ile karar aldığını, öğretmenlerin fikirlerine yeterince yer vermediğini ve eleştirilere açık olmadığını düşünmektedir. Öğretmenlerin motivasyonlarının sağlanması ve başarılı olabilmeleri için güçlü bir yönetici desteğine ihtiyaç duydukları da belirtilmiştir. Araştırma sonuçlarına dayanarak, okul yönetimi ve öğretmenler arasındaki işbirliğini güçlendirmek, iletişimi artırmak ve şeffaflığı sağlamak için birtakım öneriler getirilmiştir.
Öğretmen Biçimlendirici Değerlendirme Okuryazarlığı Ölçeğinin Türkçeye Uyarlanması: Geçerlik ve Güvenirlik Çalışması
Authors: Uyar Ahmet , Karafil Burcu
Published: September 2024

Bu araştırmanın temel amacı, öğretmenlerin biçimlendirici değerlendirmeye yönelik okuryazarlıklarını belirlemek için Yan ve Pastore tarafından (2022) geliştirilen Öğretmen Biçimlendirici Değerlendirme Okuryazarlığı Ölçeği'nin Türkçe'ye uyarlanması üzerine geçerlik ve güvenirlik çalışması yapmaktır. Çalışma kapsamında, 2023-2024 eğitim-öğretim yılında Elazığ ve Yalova illerinde görev yapan 183 öğretmenden oluşan bir çalışma grubu kullanılmıştır. Ölçeğin orijinal hali, 6'lı Likert tipinde düzenlenmiş ve İngilizce olarak yazılmış 21 maddeden oluşmaktadır. İlk olarak, ölçeğin Türkçeye çevirisi yapılmış ve çeviri sonrasında dil geçerlik çalışmaları gerçekleştirilmiştir. Daha sonra, ölçeğin pilot uygulaması 30 öğretmen üzerinde gerçekleştirilmiştir. Geçerliliği sağlanan ölçek, 183 öğretmene çevrimiçi olarak uygulanmış ve bu çalışmanın ardından doğrulayıcı faktör analizi (DFA) yapılmıştır. DFA sonuçları, orijinal faktör yapısının korunduğunu göstermiştir. Ölçeğin güvenirliğini belirlemek için, ölçeğin Türkçe ve İngilizce formları 28 İngilizce öğretmenine uygulanmıştır. Bu şekilde test - tekrar test güvenirliğinin sağlandığı görülmüştür. Ayrıca, ölçeğin tamamı ve alt boyutları için iç tutarlılık katsayıları hesaplanmıştır. Elde edilen Cronbach Alpha katsayıları, ölçeğin tamamı için 0.94, kavramsal alt boyutu için 0.87, uygulama alt boyutu için 0.88, sosyo-duygusal alt boyutu için ise 0.88 olarak belirlenmiştir. Bu sonuçlar, 21 madde ve üç faktörden oluşan Öğretmen Biçimlendirici Değerlendirme Okuryazarlığı Ölçeği'nin Türkçe'ye uygun bir şekilde geçerli ve güvenilir hale getirildiğini göstermiştir.
Sosyal Destek, Öz-Düzenleme, Akademik Başarı ve Yaşam Doyumunun İncelenmesi: Yol Analizi
Authors: Ateş Bünyamin , Sağar Mehmet Enes
Published: September 2024

Yapılan araştırmada, sosyal destek, öz-düzenleme, akademik başarı ve yaşam doyumu arasındaki ilişkilerin incelenmesine yönelik oluşturulan hipotez modelin sınanması amaçlanmıştır. Çalışmanın araştırma grubu, 2022-2023 akademik yılında Türkiye’nin farklı üniversitelerin fakültelerinde öğrenim gören 388 öğrenciden (230 erkek, %59.3; 158 kız, %40.7) oluşmuştur. Ayrıca araştırma grubunun yaş ortalaması ise 21.63 olarak belirlenmiştir. Araştırmada veri toplama araçları olarak “Yaşam Doyumu Ölçeği”, “Çok Boyutlu Algılanan Sosyal Destek Ölçeği”, “Algılanan Öz-Düzenleme Ölçeği” ve “Kişisel Bilgi Formu” kullanılmıştır. Veriler Google Form aracılığıyla online (çevrimiçi) yöntemle toplanmıştır. Araştırma kapsamında elde edilen veriler SPSS ve Mplus programları ile analiz edilmiştir. Yapılan analizler sonucunda; yaşam doyumuyla akademik başarı, sosyal destek ve öz-düzenleme arasında pozitif yönde anlamlı düzeyde birer ilişki bulunmuştur. Ayrıca çalışmada sosyal destek ve öz-düzenleme değişkenlerinin yaşam doyumu değişkenini pozitif yönde, anlamlı düzeyde doğrudan yordadığı belirlenmiştir. Yine sosyal destek değişkeninin akademik başarı değişkenini, akademik başarının da yaşam doyumu değişkenini pozitif yönde, anlamlı düzeyde doğrudan yordadığı sonucuna ulaşılmıştır. Araştırmada değişkenlerin yaşam doyumuna olan doğrudan etkileriyle birlikte dolaylı (aracı) etkileri de incelenmiştir. Dolaylı etki değerlerine yönelik yapılan inceleme sonucunda; sosyal desteğin yaşam doyumunu akademik başarı aracılığıyla anlamlı şekilde yordadığı görülmektedir. Modeldeki tüm değişkenlere ait doğrudan ve dolaylı etkiler yaşam doyumundaki varyansın yaklaşık %24’ünü açıklamıştır.
Türkiye’de Orff-Schulwerk Yaklaşımının Uygulayıcılar Açısından Değerlendirilmesi
Authors: Dağhan Berivan , Alemlioğlu Hasan , Bilgin Deniz , Sonsel Ömer Bilgehan
Published: September 2024

Türkiye’de Orff-Schulwerk yaklaşımının uygulayıcılar açısından değerlendirilmesine yönelik yapılan bu çalışmada uygulayıcıların Türkiye’deki Orff-Schulwerk yaklaşımının içeriğine, materyallerine, ders işleme sürecine, yaklaşımının mevcut durumuna ve geleceğine yönelik görüşlerini saptamak amaçlanmıştır. Araştırma kapsamında Orff-Shulwerk eğitimcilerinin görüşleri tarama modellerinden genel tarama modeli kullanılarak alınmıştır. Ankara ilinde Orff Schulwerk yaklaşımı ile eğitim vermekte olan eğitimciler tespit edilmiş ve eğitimcilere “Katılımcı Görüşme Formu” uygulanmıştır. Katılımcıların görüşleri doğrultusunda elde edilen sonuçlara göre; Orff Schulwerk yaklaşımının tanımına ilişkin katılımcıların çoğu yaklaşımın bireyin kendi deneyimleri üzerinden gerçekleştiğini vurgulamış ve diğer bir kısmı da yaklaşımın yaparak, yaşarak ve yaratıcılığı kullanarak öğrenilen bir süreç olarak ifade etmiştir. Kullandıkları materyallere ilişkin görüşleri doğrultusunda katılımcıların çoğunluğu ritmik çalgıları tercih etmekte, derslerinde sadece çalgı materyalleri değil, aynı zamanda yaratıcı ve alternatif diğer materyallerden de yararlandıklarını belirtmiştir. Kendi kültürlerimize ait ezgileri kullanma konusunda ise eşit bir dağılım olduğu göze çarpmaktadır. Katılımcıların iyi bir Orff Schulwerk eğitimcisinin sahip olması gereken özellikler hakkındaki düşüncelerinin başında “müzikal ve sanatsal birikimi iyi olmalı” ve “yaratıcı, yenilikçi ve özgür olmalı” öne çıkmaktadır. Son olarak katılımcıların tamamına yakın bir kısmı Orff Schulwerk yaklaşımının Türkiye’deki gelişimi ve mevcut durumuna ilişkin olumsuz görüş bildirmişlerdir.