bluuebunny/crossref_metadata_2025 huggingface dataset:
The Reality of using Artificial Intelligence in Educational Research from the Point of View of Graduate Students at the College of Education at Taif University
Authors: Alsofiani Saleha
Published: July 2024

The research aimed to identify the reality of using artificial intelligence in educational research from the point of view of graduate students at the College of Education at Taif University. The study sample consisted of 32.8% of the study population consisting of (128 male and female students) enrolled in the master’s degree- at the College of Education- Taif University In the specializations of (educational leadership, pedagogy, educational policies, special education, curricula, teaching methods and educational techniques) in the second semester of the academic year 1444-1445 AH, and using the questionnaire tool, the research concluded the following: 1- That students use artificial intelligence to a high degree in all stages of research. 2- One of the most important problems in using artificial intelligence in research is related to reliability and security, and the lack of a clear policy for applying artificial intelligence in educational research. 3- One of the most important controls that students believed should be available (formulation The Artificial Intelligence Ethics Document, the establishment of the University Center for Artificial Intelligence Ethics, and the enhancement of cyber security skills for the educational researcher, while there are no statistically significant differences between the sample members in their responses to the questionnaire axes due to specialization and level While the most widely used artificial intelligence program in educational research was Chat GPT, it affected the reality axis without the rest of the axes. Among the most important recommendations reached by this study: establishing a university center for the ethics of artificial intelligence, drafting a document on the ethics of artificial intelligence in educational research, and adding it as a course for students. Undergraduate and postgraduate studies
A reference activity model for additive manufacturing :
Authors: Witherell Paul W
Published: July 2024

Additive manufacturing is a complex and inherently digitally orientated manufacturing technology. This technology has become popular as it offers certain benefits when compared with traditional manufacturing technologies such as the ability to produce unique and complex geometries, reduced turnaround time from design to final product, reduced material waste, and the ability to process a wide range of materials. There are however challenges to the qualification and industrialization on this technology. These include the potential variability in both inputs and outputs, control of the many variables and process parameters, and the lack of process understanding, guidance material, and the steep learning curve for new users. This report proposes a reference activity model that defines generic activities and data items across the additive manufacturing workflow, from design through to part evaluation. The reference activity model is modeled in accordance with the IDEF0 language. Data items are defined and mapped against industry standards to provide users with the required information to develop their specific production processes and controls. This model aims to improve additive manufacturing product and production data exchange and detail a reference architecture for the development of digital twins and threads.
Menumbuhkan Keterampilan Berbicara Dalam Pembelajaran Bahasa di Sekolah
Authors: Kusyairi  , Fazaraul Farahiyyah Ad  , Habibatul Ummah
Published: July 2024

Abstrak. Implikasi dari masalah dalam pembelajaran keterampilan berbicara di sekolah meliputi faktor eksternal dan internal. Faktor eksternal mencakup kurangnya latihan berbicara di depan umum, lingkungan yang tidak mendukung, dan metode pengajaran yang kurang sesuai. Siswa seringkali tidak diberikan kesempatan yang cukup untuk berlatih berbicara di depan umum, sehingga mereka tidak terbiasa dan merasa tidak percaya diri. Selain itu, lingkungan sekolah yang kurang mendukung, seperti kurangnya fasilitas untuk latihan berbicara atau suasana kelas yang tidak kondusif, dapat menghambat perkembangan keterampilan berbicara siswa. Metode pengajaran yang tidak efektif juga menjadi faktor eksternal yang signifikan. Jika guru hanya menggunakan metode pengajaran yang pasif dan kurang melibatkan siswa dalam aktivitas berbicara, maka keterampilan berbicara siswa tidak akan berkembang dengan baik. Dengan demikian, penting bagi sekolah untuk memberikan perhatian khusus pada pembelajaran keterampilan berbicara, baik melalui pengembangan metode pengajaran yang efektif maupun melalui pembinaan motivasi dan bakat siswa. Guru perlu menerapkan berbagai metode pengajaran yang interaktif dan melibatkan siswa secara aktif dalam berbagai aktivitas berbicara. Contohnya, penggunaan teknik permainan peran, debat, diskusi kelompok, dan presentasi dapat membantu siswa mengasah keterampilan berbicara mereka. Selain itu, memberikan umpan balik yang konstruktif dan penghargaan atas usaha siswa dapat meningkatkan motivasi mereka untuk terus berlatih dan memperbaiki diri.
The Effect of Delivery Services and Service Quality on Consumer Trust in Tiktok Online Stores
Authors: Alamsyah Sal Sabila , Syahnur Aida Alifia  , Ahmad Nuh
Published: July 2024

Online stores have become one of the most important aspects in the world of e-commerce, with increasing attention to factors that affect customer confidence in online transactions. The study aims to investigate the impact of service quality and customer satisfaction on customer confidence in the TikTok online store. The method used involves the use of online surveys using data filling forms (Google Forms) to users of the online shop. The data collected is analyzed using regression analysis to evaluate the relationship between independent variables (service quality and client satisfaction) and dependent variables. (customer trust). The results show that good service quality and customer satisfaction levels positively affect the level of customer confidence in TikTok online stores. These findings show the importance of providing high-quality service and paying attention to customers’ satisfaction to build trust in an e-commerce environment. The uniqueness of the study is the use of online surveys with data filling forms, which enables efficient data collection that can reach respondents from a variety of geographical backgrounds, as well as focusing on TikTok's still relatively new online shopping platform in the e-commerce market, adding insight into factors affecting customer confidence.
Study Of Text, Cotext And Context In The Radar Madura Newspaper May 2024 Edition
Authors: Masudah  , Roni Mainata Alam  , Amirul Mukminin
Published: July 2024

This research aims to analyze the text, cotext and context of the May 2024 Edition of the Radar Madura Newspaper. This research uses a qualitative approach with descriptive methods. The data source used is the discourse contained in the May 2024 Edition of the Radar Madura Newspaper, entitled " Because of Uploading SARA Content, Creator of Akeloy Production Arrested by East Java Regional Police ", " Not Present at CAT, 14 PPK Applicants for Sampang Regional Election Fall Early ”, “ Laboratory Test Results Not Yet Out, Snack Samples That Trigger Mass Poisoning Sent to Surabaya ”. The results of this research from the three analyzed data found that there were three texts, five cotexts and six contexts in the May 2024 edition of the Radar Madura Newspaper.
Analysis of the behavior of the capital structure and its relationship with the risk-return of the construction industry of the Pymessegment
Authors: Bravo Bravo Ángel Orlando , Chagerben Salinas Lenin Ernesto , Apolinario Zatizabal Omar Daniel , Durán Salazar Galo Mauricio
Published: July 2024

The article addresses the capital structure and the risk-return function, in the construction sector of the Pymessegment of Guayas, whose objective is to analyze the behavior of the capital structure and its relationship with the risk-return function, it was found In the theories, emphasis on the capital structure of the company is very important for efficient financial administration; A descriptive methodology was applied to analyze the behavior of the structure in the objective population and measure the relationship between risk and performance, using surveys to collect empirical information and documentary analysis to evaluate objective information from the financial statements; results that indicate that the largest number of companies are financed with loans and with reinvestment of profits, a small part with informal loans; And regarding risk and return in the case of informal loans, respondents indicated that the risk assumed is not compensated by the expected return; Finally, a generalized conclusion was reached that companies in this sector are aware of the risk levels of each source of financing, however they do not measure the compensation of risk with performance.
COVID-19 pathophysiology: A review
Authors: Zhou Liqiang , Xing Shuxing
Published: July 2024

In December 2019, a novel coronavirus, now named as SARS-CoV-2, caused a series of acute atypical respiratory diseases in Wuhan, Hubei Province, China. The disease caused by this virus was termed COVID-19. The virus is transmittable between humans and has caused pandemic worldwide. The number of death tolls continues to rise and a large number of countries have been forced to do social distancing and lockdown. Lack of targeted therapy continues to be a problem. Epidemiological studies showed that elder patients were more susceptible to severe diseases, while children tend to have milder symptoms. Here we reviewed the current knowledge about this disease and considered the potential explanation of the different symptomatology between children and adults.
A meta-analysis on the use of photobiomodulation to regulate gingival wound healing in addition to periodontal therapies
Authors: Koang Yaieo
Published: July 2024

Background:
A meta-analysis research was implemented to appraise gingival wound healing management by photobiomodulation as adjunctive management to periodontal treatments.
Inclusive literature research till April 2023 was done and 908 interconnected researches were revised. Methods
The 9 picked researches, enclosed 517 periodontal disease persons were in the utilized researchers' starting point, 258 of them were utilizing photobiomodulation, and 259 were control. Odds ratio (OR) and 95% confidence intervals (CIs) were utilized to appraise the consequence of photobiomodulation in treating gingival wound healing by the dichotomous, and contentious approach and a fixed or random model.
Results:
Photobiomodulation had a significantly higher Landry wound healing index (MD, 0.87; 95% CI, 0.40-1.34, p<0.001), and complete wound epithelialization (OR, 6.47; 95% CI, 2.05-20.44, p=0.001) compared to the control of gingival wound healing in periodontal disease persons. However, photobiomodulation and control had no significant difference in the remaining wound area (MD, -10.03; 95% CI, -22.83-2.77, p=0.12) of gingival wound healing in periodontal disease persons.
Conclusions:
Photobiomodulation had a significantly higher Landry wound healing index, and complete wound epithelialization, however, no significant difference was found in the remaining wound area compared to control of gingival wound healing in periodontal disease persons. However, caution needs to be taken when interacting with its values since there was a low sample size of most of the chosen research found for the comparisons in the meta-analysis and a low number of chosen investigations for some of the comparisons.
Extremal graphs for the number of independent sets on polygonal chains joined by cutting edges
Authors: De Ita Luna Guillermo , Bello López Pedro , Contreras Gonzálex Meliza , Marcial Romero José Raymundo
Published: July 2024

We determine extremal graphs with respect to the  number of independent sets for polygonal chains joined by cutting edges. We show that for any class of polygonal chains, independently of the number of sides on each polygon, the zig-zag polygonal chain has the extremal minimum value. Meanwhile, the polygonal chain at distance 2 between any two consecutive cutting edges provides the extremal maximum value. These results generalize and formalize previous ideas about phenylene chains.
To recognize those extremal topologies, extremal values   for the product between two Fibonacci numbers with complementary indices are determined. The product between two Fibonacci numbers with complementary indices are also applied   for recognizing extremal graphs when a path is extended with one more vertex, or when any independent subgraph is linked to the path. Our results are achieved by applying decomposition of the input graph through the vertex and edge division rules.
ALTERNATIVE INVESTMENTS AS A MEANS OF DEVELOPING THE FINANCIAL SYSTEM AND ECONOMY / ԱՅԼԸՆՏՐԱՆՔԱՅԻՆ ՆԵՐԴՐՈՒՄՆԵՐԸ ՈՐՊԵՍ ՖԻՆԱՆՍԱԿԱՆ ՀԱՄԱԿԱՐԳԻ ԵՎ ՏՆՏԵՍՈՒԹՅԱՆ ԶԱՐԳԱՑՄԱՆ ՄԻՋՈՑ
Authors: Manaseryan Tatul
Published: July 2024

Evaluating the current economic situation, it can be argued that without interest in alternative investments, the possibilities for further economic development have been exhausted. Under these conditions, the investment sector can not only play the role of the main factor in economic recovery, but also, to a certain extent, support the maintenance of the level of economic viability and stop the growing deterioration. In almost all spheres of the republic’s economy, a hundredfold increase in consumer prices compared to the increase in average wages led to a sharp decrease in the purchasing power of the population. It seems that manufacturers should look for opportunities to reduce product prices, update product lines and improve quality, finding real ways to increase profits. However, this is not actually happening yet. The apparent saturation and abundance of the market was achieved by reducing the range and physical volumes of products, as well as increasing prices. A decrease in demand encourages producers to compensate for the decrease in physical volume by increasing prices for goods. A reduction in production volume leads to an increase in semi-fixed costs per unit of production. The share of these costs in the total is on average more than 25%. The maximum weight in the formation of production costs is given to depreciation of non-performing fixed assets, the share of which has already exceeded 50% and continues to increase.
PROSPECTS TO IMPROVE BUDGET POLICY BASED ON INCREASING THE EFFICIENCY OF THE ECONOMIC MECHANISM / ՏՆՏԵՍԱԿԱՆ ՄԵԽԱՆԻԶՄԻ ԱՐԴՅՈՒՆԱՎԵՏՈՒԹՅԱՆ ԲԱՐՁՐԱՑՄԱՆ ՎՐԱ ՀԻՄՆՎԱԾ ՀԱՐԿԱԲՅՈՒՋԵՏԱՅԻՆ ՔԱՂԱՔԱԿԱՆՈՒԹՅԱՆ ԲԱՐԵԼԱՎՄԱՆ ՈՒՂԻՆԵՐԸ
Authors: Sargsyan Nairi
Published: July 2024

The main threat to ensuring fiscal stability in the country is the pressure from various groups and some political forces to increase the level of government spending without taking into account the economic consequences. Therefore, in this case, it is extremely important to introduce appropriate accountability mechanisms, since without them it will be almost impossible to fully assess and implement the relevant guidelines in the current fiscal policy. The article substantiates the point of view according to which, in order to ensure the effectiveness of public expenditure management in Armenia, it is first of all necessary to increase budget discipline, which includes ensuring the clarity of budget documents, the validity of budget expenditures and increasing the feasibility of key indicators of the budget forecast. Budget expenditures should be aimed at implementing the state’s strategic priorities and long-term development goals. In other words, government spending must correspond to economic policy priorities, and the spending management system must ensure inter-sectoral and extra-sectoral redistribution of resources from low-priority to high-priority ones and from low-effective programs to highly effective ones. Thus, medium-term public expenditure programming should be a continuous process and have a policy-planning-budget structure.
ASSESSMENT OF THE INFLUENCE OF GEOGRAPHICAL DISTANCE ON THE FOREIGN TRADE INTERACTION OF THE RA ECONOMY USING GRAVITY MODELING / ՀՀ ՏՆՏԵՍՈՒԹՅԱՆ ԱՐՏԱՔԻՆ ԱՌԵՎՏՐԱՅԻՆ ՓՈԽԳՈՐԾԱԿՑՈՒԹՅԱՆ ՎՐԱ ԱՇԽԱՐՀԱԳՐԱԿԱՆ ՀԵՌԱՎՈՐՈՒԹՅԱՆ ԱԶԴԵՑՈՒԹՅԱՆ ԳՆԱՀԱՏՈՒՄ՝ ԳՐԱՎԻՏԱՑԻՈՆ ՄՈԴԵԼԱՎՈՐՄԱՄԲ
Authors: Margaryan Hasmik , Pirumyan Mane
Published: July 2024

In the complex field of international trade, the application of the gravity model plays a special role in studying the influence of geographic distance on the dynamics of Armenia's trade with various countries. Based on Tinbergen's theoretical framework, the gravity model represents a direct correlation between bilateral trade and the gross domestic product (GDP) of trading partners but is inversely proportional to the distance between them, similar to Isaac Newton's gravity equation. The traditional gravity model produces a predictable result for Armenia, showing that higher levels of countries' GDP encourage more trade between those countries, while distance is a barrier to trade between countries as transport costs rise. By expanding the model to include additional variables, the study presents an expanded gravity model that takes into account factors such as border proximity, membership in the Eurasian Economic Union (EAEU) and the European Union (EU), and the presence of free trade agreements. In the case of RA, the presence of a border does not contribute to improving trade relations, but in terms of population: the larger the population of a country, the fewer RA exports there are. The competitiveness of RA products and services is insufficient to enter large-scale sales markets. This is one of the reasons why Armenia is not a member of the EU. If there is a trade agreement between the Republic of Armenia and a given country, the export to that country is greater. Thus, the volume of trade with the member countries of the EAEU and the EU is respectively larger and smaller. The results of the analysis are influenced by the close trade relations between the Republic of Armenia and the Russian Federation, which may have distorted the correct picture in some places.
Herbal Drugs used in the Treatment of Obesity
Authors: Pasnurwar Gauri , Badwaik Jay , Uplanchiwar Vaibhav
Published: July 2024

Obesity has emerged as a significant global health concern, presenting substantial challenges to public health and healthcare systems around the world. There's a rising interest in exploring alternative methods for addressing obesity, such as the use of herbal medications. This review provides a comprehensive overview of herbal drugs commonly employed in obesity management. It includes a systematic search of pertinent databases to identify studies investigating the efficacy and safety of herbal remedies for obesity. The review summarizes the pharmacological properties, anti-obesity effects, and potential adverse effects of Thea sinensis, Coffea arabica, Hibiscus sabdariffa, and other herbal remedies. Additionally, it delves into the potential synergistic effects of combining herbal treatments and underscores the importance of standardization, quality control, and safety considerations when using herbal drugs to manage obesity. In conclusion, herbal drugs present promising opportunities for developing innovative therapeutic approaches to obesity. Nonetheless, further research is required to fully grasp their potential and ensure their safe and effective utilization in clinical settings.
Analysis of the incidence of trisomy of chromosome 21 in pregnancies across different age groups between 2000 and 2020
Authors: Pereira Sarah Emily Borges , Almeida Maria Tatiane Oliveira , Goulart Wellington Júnio da Silva Chendis , Barbosa Daniel Fernandes , Oliveira Thais Ranielle Souza de , Vasconcelos Érico Augusto Rosas de
Published: July 2024

Objective: This study investigated the relationship between maternal age and the risk of trisomy 21 (T21) in mothers over 35 years old by analyzing the incidence of T21 in Brazil from 2000 to 2020. Methods: A descriptive quantitative and cross-sectional methodology was employed, with data collected from the DATASUS database and the Integrated Health Surveillance Platform. IBM SPSS Statistics v23 software was used for statistical analysis. Results: A decrease in pregnancies among younger mothers (15-24 years) and stable numbers for mothers over 35 were observed. There was a significant increase in births of children with T21 from mothers over 35 in the last decade. Conclusion: Data suggest the influence of biopsychosocial factors on the significant increase in births of children with T21 from mothers over 35, as the total number of pregnancies in this age group did not vary significantly over the two decades analyzed.
Peranan Pengendalian Internal Dalam Meningkatkan Kualitas Audit Internal
Authors: Ilham Dio Bhakti  , Ulfa Puspa Wanti Widodo
Published: July 2024

Pengendalian internal yang efektif berperan penting dalam meningkatkan kualitas audit internal, dengan memastikan kepatuhan terhadap peraturan dan mengidentifikasi serta mengurangi risiko secara proaktif. Penelitian ini bertujuan untuk mengeksplorasi peranan pengendalian internal dalam meningkatkan kualitas audit internal. Penelitian ini menggunakan metode pendekatan kualitatif dengan observasi dan wawancara secara langsung dilapangan. Data diperoleh melalui wawancara mendalam dengan auditor internal perusahaan, serta analisis dokumen terkait pengendalian internal dan laporan audit. Hasil penelitian ini menyimpulkan bahwa Pengendalian internal yang efektif tidak hanya meningkatkan mutu audit internal, tetapi juga berkontribusi pada peningkatan kinerja dan reputasi perusahaan secara keseluruhan. Oleh karena itu, perusahaan disarankan untuk terus memperkuat pengendalian internal mereka dan memastikan keterlibatan aktif dari seluruh tingkat manajemen dalam proses ini.
European grayling (Thymallus thymallus Linnaeus, 1758). Thematic bibliography
Authors: Hrytsyniak Ir. ,   Institute of Fisheries NAAS, Kyiv, Shvets T. ,   Institute of Fisheries NAAS, Kyiv
Published: July 2024

Purpose. Forming a thematic bibliographic list of English-language and Ukrainian-language publications, which highlight the issues of artificial breeding and cultivation of European grayling in Ukraine and abroad, the results of research into its population, ecological, genetic, physiological, biochemical, immunological and other characteristics. Methods. The complete and selective methods were applied in the process of the systematic search. The bibliographic core have been consisted of scientific publications in Ukrainian and English from the fund of the Institute of Fisheries NAAS Scientific Library, as well as resources available to its users. Results. There was composed the thematic list of publications with a total quantity of 200 sources covering the time interval from 1982 to 2024, and outlining issues regarding the reproduction of a representative of Salmonids — European grayling (Thymallus thymallus L.) as one of the most rare, valuable, and significant species in the ichthyofauna of Ukraine in terms of nature protection, research of its biological, morphological, ecological, genetic, physiological, biochemical and other features at various stages of ontogenesis and different living conditions. The literary sources were arranged in alphabetical order by author or title, and described according to DSTU 8302:2015 “Information and documentation. Bibliographic reference. General principles and rules of composition”, with the amendments (code UKND 01.140.40), as well as in accordance with the requirements of APA style — international standard of references. Practical value. The list may be useful for scientists, specialists, professors, and students whose area of interests includes research of rare and endangered species of fish, biological, population, genetic, ecological and other characteristics of Thymallinae, in particular in the context of their artificial reproduction. Key words: European grayling, endangered species of fish, breeding, pisciculture, genetic research, physiological and biochemical research, ecological research.
UAV Infrared Image Human and Vehicle Object Detection Based on YOLOv5
Authors: Zhao Leihao
Published: July 2024

Currently, the primary methods for searching for missing persons and vehicles in the wilderness involve extensive manpower for ground-based grid searches. Occasionally, a limited number of helicopters are deployed to assist in the search and rescue operations, and in some cases, UAVs equipped with visible light imaging cameras are used for manual image recognition. However, these search methods are inefficient and require significant human and material resources. To address these issues, this paper proposes a search and rescue method that combines multi-rotor UAVs with image target recognition technology. The YOLOv5-based object detection method is employed to identify humans and vehicles in UAV infrared images, achieving a mean Average Precision (mAPs) of 99%, with a mAP of 98.5% for human recognition and 99.5% for vehicle recognition. This object recognition algorithm model has profound implications for the automation of multi-rotor UAV wilderness search and rescue operations.
Image Classification of Skin Cancer Using Deep Neural Networks with Scaling Laws
Authors: Xu Rongman
Published: July 2024

Skin cancer image classification is critical to improve healthcare outcomes. Current practice often involves time-consuming procedures that may delay diagnosis until the disease has progressed to an advanced stage, reducing the chances of successful treatment. This challenge is further exacerbated by the worldwide shortage of skilled dermatologists. In this study, we investigate the effect of dataset size on the image classification performance of eight networks (AlexNet, ResNet18, ResNet34, ResNet50, ResNet101, ResNet152, ViT, and MLP-Mixer). We trained these classifiers using different ratios (e.g. 1% to 100%) of samples from the HAM10000 dataset. Our experiment reveals the complex interplay among dataset size, model complexity, and skin cancer classification performance, validating the rules of the neural scaling laws on skin cancer image classification. This work highlights the impact of dataset scale and model complexity on improving the skin cancer image classification performance to potentially reduce the burden on healthcare professionals.
A study of Machine Learning for Prediction in Panel Data
Authors: Huang Shenglong , Hu Lingyun
Published: July 2024

With the development of the times, the prediction study of machine learning in panel data is becoming more and more extensive, this paper adopts the RNN algorithm and XGBoost algorithm to carry out the prediction study on the quarterly GDP panel data of 31 provinces and cities in China from the 1st quarter of 2005 to the 4th quarter of 2023, and compares and analyses the two methods. In the forecasting study, this paper considers the influence of geographic location in the panel data, and the results show that there are significant regional differences in the RNN algorithm in forecasting, and the eastern coastal and inland provinces with stronger economies perform better, for example, the training set correlation coefficient of Guangdong province is as high as 0.8052, followed by Anhui and Hubei. However, the Qinghai-Xizang region performs poorly and is at risk of overfitting. The XGBoost algorithm, on the other hand, shows high correlation coefficients on both the training and test sets in most provinces and cities, especially in Beijing, Tianjin and Hebei, where the correlation coefficients are above 0.9, showing good prediction results. In terms of mean square error, the MSE of the training set is generally smaller than that of the test set, indicating that the predicted values of some regions have a large deviation from the actual values. In terms of the mean absolute percentage error (MAPE), the MAPE of most provinces and cities is below 1%, which indicates that the relative error of prediction is small. Comprehensive analysis shows that XGBoost is good at dealing with nonlinear relationships and complex feature interactions, and is especially suitable for capturing nonlinear geolocation features, while RNN may be more effective in dealing with temporal geolocation features; XGBoost has a strong fitting ability and is suitable for sparse data, while RNN needs more data to learn effective representations; XGBoost has less need for hyperparameter tuning, while RNN is is more sensitive to hyperparameters.
Assessment of Irrigation Water Quality for Dry-Season Green Vegetable (Amaranthus crentus L.) Farming in Ondo State, Nigeria
Authors: KO Mogaji , AJ Oloruntade
Published: July 2024

The need to meet the all-year round green vegetable demands of the ever-growing population, especially in the urban and peri-urban towns of Ondo State, has made dry-season irrigation inevitable. Moreover, dry-season green vegetable farming provides an opportunity for smallholder farmers to further extend their cropping season, increase productivity, and ultimately improve their earnings. Thus, the aim of the present study was to carry out an assessment of irrigation water quality for dry-season green vegetable (Amaranthus crentus L.) farming in Ondo State, Nigeria. Ten (10) water samples covering at least three (3) major towns/cities in each of the three senatorial districts were collected from different green vegetable farms across the state during the dry season. Thereafter, samples of water collected were taken to the laboratory for both physicochemical and microbial analyses. Mean values of physicochemical parameters such as pH (6.12), EC (338.8 µS/cm), turbidity (4.03 NTU), TSS (0.428 mg/L), TDS (169.4 mg/L), and BOD (2.141 mg/L) were within the permissible levels, while COD (154 mg/L) and total hardness (135.24 mg/L) were above the limits. Microbial analysis also showed that total viable coliform counts (TVCC) were higher than the recommended limit, while total viable E. coli counts (TVEC) fell below detectable levels. Therefore, it was concluded that the irrigation water used for dry-season green vegetable farming in Ondo State was relatively of good quality, which serves as an encouragement to both farmers and consumers of the vegetable. However, given the higher levels of total hardness and TVCC, continuous monitoring and assessment of irrigation water quality in the state, especially beyond the areas presently covered, and awareness campaigns against urban surface water pollution to prevent potential faecal contamination of the sources and avert possible ingestion of pathogenic organisms through the consumption of green vegetables are recommended.
Le voyage en Italie de Mlle Raucourt, actrice-ambassadrice du théâtre de Napoléon
Authors: Lapenna Lucia ,   Università di Salerno
Published: July 2024

Napoléon fit de sa passion pour le théâtre un instrument privilégié de ses politiques culturelles: l’empereur connaissait bien l’influence que le théâtre pouvait exercer sur les masses et il faisait tout pour en favoriser le développement et en garder le contrôle, non seulement en France, mais dans toutes les provinces de l’Empire, dans le but de diffuser la langue et la culture françaises. Le 9 juillet 1806 l’empereur signe le décret sur l’organisation des spectacles français en Italie. La mission de diffuser le théâtre français en Italie est confiée, entre autres, à Mlle Raucourt, une vedette de la Comédie-Française, souvent jugée comme excentrique par ses contemporains. A travers une analyse de la période italienne de Raucourt, cet article portera sur la réception du répertoire français dans les villes touchées par la vedette.
Sur le tas: de Bruxelles à Paris, des mentors aux idoles, la formation continue européenne de Juliette Drouet (1828-1833)
Authors: Naugrette Florence ,   Sorbonne Université
Published: July 2024

Cet article explore la carrière méconnue de Juliette Drouet, souvent réduite à son rôle de compagne de Victor Hugo. Il met en lumière la période entre 1828 et 1833 où Juliette, après des débuts prometteurs au Théâtre du Parc à Bruxelles, a rapidement connu le succès à Paris, jouant des rôles notables au Théâtre du Vaudeville, à la Porte-Saint-Martin et à l'Odéon. Malgré sa trajectoire impressionnante, sa carrière s'achève en 1833 après un échec lors de la première de Marie Tudor. L'article révèle les raisons de l'obscurité de Juliette Drouet, notamment sa relation avec Hugo et les ragots diffusés par ses contemporains.
Manuel, un Sordo Migrante. Ventajas y Desventajas de su Experiencia de Migración
Authors: Pérez-Valdovinos Nataly Consuelo , Obregón-Velasco Nydia
Published: July 2024

The migration experience of a deaf person is investigated using a qualitative approach from ethnographic and phenomenological methods, using techniques such as semi-structured in-depth interview, participant observation, photography and log. A migration process is observed that left great benefits that could be framed as supporting a higher quality of life, but also, some damages that occurred during the migration process in relation to the family environment are described that question said increase in quality of life.
Analysis of the Effectiveness of Implementing Regulations Restricting Smartphone Use as an Effort to Handle Student Behavior
Authors: Aqbar Khaerul , Azwar Azwar , Indriani Dewi , Rifai Awal , Mutahharah Mutahharah
Published: July 2024

The use of smartphones in the STIBA Makassar environment has the potential to cause students to tend to behave deviantly, especially in aspects of the Shari'a and its practice. With concerns about this potential, regulations limiting the use of smartphones have been established as an Islamic social control so that guidance in the STIBA Makassar environment can run as expected and be able to direct students to maintain their behavior in life. This research was conducted with the aim of analyzing the effectiveness of regulations limiting the use of smartphones in controlling student behavior at STIBA Makassar. This research uses primary data through questionnaires and a quantitative approach through descriptive statistics techniques and difference tests (paired sample t-test). The results of the research show that, in general, there has been a decrease in the frequency of smartphone use for deviant behavior. This can also be seen in the increase in the frequency level of "Never", which means that more and more students never use smartphones for deviant behavior again after the regulation was implemented. Statistically, the implemented Smartphone Use Restriction Regulations have proven to be significantly successful and effective in dealing with student behavior at STIBA Makassar.
Competencias docentes para una educación inclusiva [Teaching competences for inclusive education]
Authors: Delgado-Muñoz María Belén , Mendoza-Catagua Monserrate Narcisa , Salcedo-Quijije Jennifer Fernanda
Published: July 2024

La investigación tiene por objetivo de investigación analizar las competencias docentes para una educación inclusiva. El estudio empleó un diseño de revisión sistemática, la población de la revisión incluyó 25 artículos científicos seleccionados de la literatura revisada. En esta revisión, se han identificado y analizado nueve categorías clave de competencias docentes: Tecnologías de Asistencia, Formación y Desarrollo Docente, Percepciones y Actitudes Docentes, Metodologías Inclusivas, Impacto de la COVID-19, Diseño Universal para el Aprendizaje, Educación Física Inclusiva, Competencias Personales y Marco Legislativo y Políticas Educativas. Cada una de estas categorías aporta una pieza esencial al complejo rompecabezas de la educación inclusiva, y su integración coordinada es fundamental para el éxito de estas iniciativas. Al abordar de manera holística estas categorías, se puede avanzar significativamente hacia la creación de un sistema educativo verdaderamente inclusivo y equitativo.
Impacto de la tecnología blockchain en la transparencia y cumplimiento de las NIIF [Impact of blockchain technology on transparency and IFRS compliance]
Authors: Benavides-Cordero Yessenia Margoth , Jaramillo-Calle Carmen Yolanda
Published: July 2024

Blockchain se aplica en diversos sectores, como la cadena de suministros y los procesos logísticos, aumentando su eficiencia desde el almacenamiento hasta la entrega y pago. El objeto del estudio es evaluar el impacto de la tecnología blockchain en la transparencia y el cumplimiento de las NIIF en las PYMES de Ecuador. De tipo descriptiva desarrollada en una población de 30 pymes. Los resultados revelaron un conocimiento moderado a bajo sobre blockchain, con una preferencia variada por la frecuencia de capacitación. Aunque muchos ven importante la tecnología blockchain y reconocen sus beneficios, como la transparencia, enfrentan desafíos en seguridad y adaptación tecnológica, existe una brecha en la capacitación y un interés limitado en los incentivos gubernamentales. En conclusión, la tecnología blockchain ofrece mejoras potenciales en transparencia y cumplimiento de las NIIF, se requiere una mayor educación y gestión de expectativas para su implementación efectiva en MiPymes.
El rol de la exoneración del ISD en la expansión del sector florícola de Ecuador [The role of the DST exemption in the expansion of Ecuador's flower sector]
Authors: Angulo-Rosales Yulexi Andrea , Torres-Negrete Azucena de las Mercedes
Published: July 2024

El estudio analizó la efectividad de los incentivos fiscales, en particular la exoneración del Impuesto a la Salida de Divisas (ISD) en el sector florícola exportador ecuatoriano, Se utilizó una metodología descriptiva. Los resultados revelaron que la mayoría percibe los incentivos como efectivos, a pesar de ello, existe una brecha en el conocimiento de las empresas sobre estos beneficios fiscales. Se observó que las empresas utilizan diferentes incentivos según su sector de actividad, lo que resalta la necesidad de políticas fiscales específicas. Se identificaron desafíos como la complejidad administrativa y la falta de información clara. En conclusión, se determina la necesidad de mejorar la difusión de los incentivos y brindar mayor apoyo gubernamental para maximizar su impacto en la atracción de inversión extranjera y en el crecimiento del sector exportador. Estos hallazgos enfatizan la importancia de optimizar los incentivos fiscales para impulsar la competitividad y el desarrollo económico regional.
Impacto de la NIIF 9 en la gestión de riesgos crediticios [Impact of IFRS 9 on credit risk management]
Authors: Rodríguez-Rodríguez Vilma Jhaneth , Jaramillo-Calle Carmen Yolanda
Published: July 2024

El objetivo del estudio consiste en analizar cómo la adopción de las NIIF ha impactado en la gestión de riesgos crediticios en las instituciones financieras con una importante participación en instrumentos financieros, con el fin de proporcionar información relevante para la toma de decisiones en el ámbito financiero. Se llevó a cabo una metodología descriptiva. La implementación de la NIIF 9 ha supuesto un avance significativo en la gestión de riesgos crediticios, ofreciendo un enfoque más detallado y proactivo para la evaluación y manejo de estos riesgos en las entidades financieras. Esta normativa ha mejorado la transparencia y comparabilidad de la información financiera, permitiendo evaluaciones más precisas de la salud financiera de las instituciones, ha fomentado una mayor anticipación de las pérdidas crediticias, ayudando a las entidades a prepararse mejor para escenarios adversos.
O Peso do Passado em Conversas sobre Cavalo Dinheiro (2014), de Pedro Costa: (Re)Formulação e (Re)Produção do Discurso Racista e Colonialista através de “Novas” Estratégias Discursivas
Authors: PEREIRA ANA CRISTINA
Published: July 2024

RESUMO: A longa-metragem Cavalo Dinheiro (2014) de Pedro Costa mergulha nas lembranças, delírios e pesadelos de Ventura, para falar de uma geração de cabo-verdianos que deixou a sua terra natal e imigrou para Lisboa em perseguição de uma vida melhor, e que perdeu a juventude, a saúde e por vezes morreu, tentando atingir esse sonho. Como dialogam jovens portugueses brancos com as representações identitárias do “Outro” africano propostas pela obra? Qual a relação que se desenvolve com um filme que questiona discursos vigentes sobre a história, as expressões simbólicas e a identidade portuguesa? O filme foi mostrado e discutido em universidades do norte de Portugal, com alunos de licenciatura em Teatro e Comunicação. Apresenta-se uma leitura do filme seguida do resultado dessas conversas, numa análise de caráter crítico discursivo, que desvela a persistência de estereótipos racistas e a reprodução de discurso colonialista. 
PALAVRAS-CHAVE: Cavalo Dinheiro; Pedro Costa; Ventura; Análise Crítica do Discurso
ABSTRACT: Pedro Costa’s feature film Horse Money (2014) delves into Ventura’s memories, delusions and nightmares, to speak about a generation of Cape Verdeans who left their homeland and emigrated to Lisbon in the pursuit of a better life, and lost their youth, their health and sometimes died, trying to achieve that dream. How do young Portuguese dialogue with the identity representations of the African “Other” proposed by the Film? What is the relationship that they develop with a film that questions current discourses about history, symbolic expressions, and Portuguese identity? The film was shown and discussed in central and northern universities in Portugal, with undergraduate students in Theater and Communication. We present a reading of the film and then the result of these conversations, in a critical discursive analysis, that reveals the persistence of racist stereotypes, as well the reproduction of colonialist discourse.
KEYWORDS: Horse Money; Pedro Costa; Ventura; Critical Discourse Analysis
Big Five Personality Traits Predict Academic Self-Efficacy Among Undergraduate College Students
Authors: Dasigan Maria Angelynne , Pagalaran Mika Jeanela , Mauleon Nicole Mij Anne , Sanchez Kim Daniel M.
Published: July 2024

One factor that predicts academic success is Academic Self-Efficacy, the perceived competency to accomplish a school-related task. Big Five Personality traits are innate one’s tendencies to think, feel, and behave. Evidence indicates that specific Big Five Personality traits predict academic success. Hence, the Big Five Personality traits might influence Academic Self-Efficacy as a belief formation resulting in academic success. This study investigated the link between Big Five Personality traits and Academic Self-Efficacy. It employed purposive sampling and involved 201 undergraduate students (18-30 years old) from Manila, Philippines, who responded to the online psychological questionnaire. Results indicated a significant positive association between Academic Self-Efficacy and traits: Openness to experience, Conscientiousness, Extraversion, and Agreeableness. In contrast, Neuroticism traits indicated a negative relationship. These findings could be used as a basis for utilizing personality profiling in developing perceived academic competency among college students, potentially revolutionizing academic practices.
School management and leadership in the contemporary state of education system in the Philippines
Authors: Mendoza Jeck Richard , De Jesus Leonora
Published: July 2024

The study focuses on the diverse roles of school management and leadership in the Philippine education system. The study's goal is to identify and assess the many leadership methods used by school leaders and their influence on learners, teachers, and the educational environment. The research technique comprised a thorough search of academic databases, which included 35 peer-reviewed articles published between 2018 and the present. The findings show a variety of leadership approaches, divided into managerial and instructional leadership, with a focus on strategies such as educational, ethical, people, and strategic leadership for the former and clinical supervision, data-informed, equity-oriented, learning-focused, service-driven, and shared-instructional leadership for the latter. The review emphasizes the importance of these measures in improving educational results while also addressing the problems and limitations of their implementation. The study closes by suggesting practical, student-centered leadership approaches to improve the Philippine education system, considering the dynamic and changing demands of the twenty-first-century educational landscape.
Backpack solar-powered grass cutter
Authors: Apolinario Remar , Magallanes Amel
Published: July 2024

Grass cutter machines are very essential in maintaining the surrounding, however, they are gasoline-powered and not environmentally and health-friendly due to the use of a high cost non-sustainable green energy source and emitting carbon dioxide. Thus, a developmental method of research was employed by innovating a solar power grass cutter utilizing a recycled auxiliary fan with power-saving features, and low wattage both for discharging and charging capacity. The uniqueness of its design with a solar panel placed in a backpack and a storage battery inside, its composition and operating performance makes this grass cutter “very acceptable” to the end users. In the fabrication and construction of the machine, the innovation was based on the design criteria. The machine was tested and measured through experimentation using three trials. The system's design, composition, and operating performance were evaluated using the adopted evaluation sheet by thirty (30) evaluators as experts and end users. The charging rate of the equipment was 700 mA at 29°C to 30°C average heat temperature and it took 10 hours to fully charge the battery when not in use. While the discharging rate was 1,525 mAH and it took 4.59 hours of continued usage to fully drain without the support of the solar panel. On the other hand, the discharging rate of the battery when connected to the solar panel was only 560 mAH and it took 12.5 hours to fully drained the battery for cutting the grass field area of 1,000 sq. meters.
Pengaruh Diversifikasi Pendapatan, BOPO, NPL, LDR Terhadap Profitabilitas Perbankan selama Meningkatnya Gelombang PHK Indonesia 2023
Authors: Afrizan Faza Ladita , Lestari Suryani Sri , Kusuma Septian Yudha
Published: July 2024

PHK (Pemutus Hubungan Kerja) tahun 2023 membuat perekonomian terganggu dan berdampak pada sistem perbankan. Penelitian ini dilakukan untuk mengetahui pengaruh Diversifikasi Pendapatan, BOPO (Beban Operasional Pendapatan Operasional), NPL (Non Performing Loan), dan LDR (Loan to Deposit Ratio) terhadap profitabilitas yang ditunjukkan dengan ROA (Return On Asset) pada sektor perbankan selama terjadinya gelombang PHK pada tahun 2023 di Indonesia. Metode Analisis Data yang digunakan adalah Statistik Deskriptif, dengan Pendekatan Kuantitatif. Model Analisis data adalah Model Analisis Linier Berganda. Sampel pada penelitian ini adalah 121 laporan keuangan 28 bank umum konvensional yang memiliki total asset >Rp50 Triliun. hasil penelitian dengan menggunakan Uji F dan Uji t menunjukkan bahwa secara parsial Diversifikasi Pendapatan berpengaruh positif terhadap ROA (Return On Asset), BOPO (Beban Operasional Pendapatan Operasional) berpengaruh negatif signifikan terhadap ROA (Return On Asset), NPL (Non Performing Loan) berpengaruh negatif secara signifikan terjadap ROA (Return On Asset), dan LDR (Loan to Deposit Ratio) tidak berpengaruh terhadap ROA (Loan to Deposit Ratio).