bluuebunny/crossref_metadata_2025 huggingface dataset:
Entrepreneurial Intentions for Green Entrepreneurial Behavior in the Context of Universities in Jiangxi China: An Assessment of Entrepreneurial Endorsement and University Educational Support
Authors: Shenmiao Han , Kamruddin Badrul Hisham bin
Published: May 2024

Background and Purpose: Green entrepreneurship has gained significant attention all over the  world due to its contribution towards ecological and environmental protection. The present  study investigates the impact of the entrepreneurial mindset (EM) and entrepreneurial  intentions (EI) on green entrepreneurial behavior (GEB) within the context of universities in  Jiangxi, China, by focusing on the mediating role of entrepreneurial endorsement (EE) and the  moderating role university educational support (UES). Method: The present study is based on  a quantitative research design and utilized a survey questionnaire for data collection. The  population for the study consisted of student entrepreneurs from the selected universities in  Jiangxi, China. The study used a purposive sampling strategy, and 330 complete responses  were obtained. The data was analyzed through the application of PLS-SEM. Findings: The  statistical analysis of the quantitative data revealed that EI and EM had a positive and  significant impact on nurturing GEB in university students. However, UES was found to be an  insignificant moderator in the association between EM and GEB, and EI and GEB.  Additionally, the study supported the mediating role of EE in the association between EM and  GEB while the relationship between EI and GEB was also significantly mediated by EE. Conclusion and Implications: Thus, the present study affirmed the significance of educational  institutes for enhancing the GEB in university students. The findings of the study hold  significance for the development of entrepreneurship curriculum in higher education in China,  and also offers insights for practitioners in the educational sector for development of policies  and environment which promotes entrepreneurship.
Encrypted Network Traffic Classification Using Deep and Parallel Network-In-Network Models
Authors: Lakku Vamsipriya  , Kaicharla Lavanya  , Mudunuru Sujith Varma  , Sanepalli Prasanth Reddy
Published: May 2024

Network traffic classification analyzes received data packets to identify distinct application or traffic kinds. This research describes a neural network model that uses deep and parallel network-in-network (NIN) architectures to classify encrypted network data. In comparison to typical convolutional neural networks (CNN), NIN uses a micro network after each convolution layer to improve local modeling. Furthermore, NIN uses global average pooling instead of traditional fully connected layers before final classification, resulting in a considerable reduction in the number of model parameters. Our suggested solution uses deep NIN models with several MLP convolutional layers to map fixed-length packet vectors to application or traffic labels. Furthermore, a parallel decision method is created to build two sub-networks to process packet headers and packet bodies separately, taking into account that they may include different types of evidence for classification. Our investigations on the ''ISCX VPN-nonVPN'' encrypted traffic dataset demonstrate that NIN models can achieve a better balance between classification accuracy and model complexity than standard CNNs. The parallel decision technique can increase the accuracy of a single NIN model for classifying encrypted network data. Finally, the test set F1 scores of 0.983 and 0.985 are obtained for traffic characterisation and application identification, respectively
Hazard Identification and Detection Using Machine Learning Approach
Authors: Saraswati P  , Sainath G  , Mohammed Rahiel
Published: May 2024

Internet surfing has become a vital part of our daily life. So to catch the attention of the users' different browser vendors compete to set up the new functionality and advanced features that become the source of attacks for the intruder and the websites are put at hazard. However, the existing approaches are not adequate to protect the surfers which require an expeditious and precise model that can be able to distinguish between the begnign or malicious webpages. In this research article, we design a new classification system to analyze and detect the malicious web pages using machine learning classifiers such as, random forest, support vector machine. naïve Bayes, logistic regression and Some special URL (Uniform Resource Locator) based on extricated features the classifiers are trained to predict the malicious web pages. The experimental results have shown that the performance of the random forest classifier achieves better accuracy of 95% in comparison to other machine learning classifiers
Deep Sea Fisherman’s App using WWSN
Authors: Mrs. S. Ponnarasi  , Mr. A. Saravanan  , Mr. R. Sathish  , Mr. S. R. Siva Sarathi
Published: May 2024

In this study, we present a method for recognizing daily living activities using Doppler sensors with extended detection ranges, addressing key challenges in cost, accuracy, user convenience, and privacy preservation. We highlight the importance of accurate and affordable activity recognition for enabling advanced services in energy-saving home appliance control and other daily life applications. The proposed method leverages Doppler sensors' capabilities to detect dynamic objects and achieve precise recognition of a wide range of activities, including location-independent tasks like reading. Our evaluation includes optimizing recognition accuracy through logistic regression and assessing ensemble methods to enhance performance. Additionally, we explore the impact of sensor reduction strategies on recognition accuracy, demonstrating the potential of this approach to streamline sensor deployment while maintaining effectiveness. This research contributes to advancing sensor-based technologies for improving everyday life services, emphasizing practical solutions that prioritize cost-effectiveness and user experience
Predicting Traffic Flow with Neural Networks
Authors: Sudip Das
Published: May 2024

The monitoring and analysis of traffic flow has become crucial for transportation planners to best schedule road infrastructure repair projects as well as for people to better plan and manage their daily commutes. Therefore, one of the most crucial needs of traffic management systems is the capacity to precisely predict the type of traffic stream. In this study, we will give an intelligent approach to traffic flow prediction using actual data from the Central Road Research Institute (CRRI), India for the years 2018 and 2019. The suggested method is to train a neural network model to predict traffic flow on an hourly basis in the future. The simulation's conclusions provided a reliable forecast for the traffic statistics
Evaluating Content, Quality, and Adequacy of Maxillofacial Trauma Videos on YouTube
Authors: TEKİN Alperen , TEMEL Ayşe Nur , ERDEM HEPSENOĞLU Yelda
Published: May 2024

Aim:
The study aimed to analyze the content, quality and adequacy of information on YouTube videos regarding maxillofacial trauma.
Material and Methods:
The keyword “maxillofacial trauma” was obtained from Google Trends, YouTube was then searched, and 200 videos were selected to be analyzed for the study. Of the 200 videos, 108 were found eligible and then rated for quality and adequacy. After evaluating the demographic features of the videos, the viewing rates of the videos were determined. The quality of the videos was assessed by the Information Quality Index (VIQI) and the Global Quality Scale (GQS). The videos were categorized as low and high-content groups using a 16-point score system. Shapiro-Wilk test, Mann-Whitney U test, Pearson chi-square test and Fisher-Freeman-Halton were used for statistical analysis.
Results:
The vast majority of YouTube videos were uploaded by healthcare professionals (55.6%). The low content videos were classified as 88 videos (81.5%) and 20 videos (18.5%) as high content. The anatomic structures were the most covered topic (43.5%), followed by trauma area (40.7%), treatment procedure (32.4%), intraoral complications (31.5%), and definition of maxillofacial trauma (30.6%). A lower percentage of videos (13.9%) mentioned post-operative. Prognosis and survival (17.6%) were another low finding. The high-content video group had a significantly higher median value of GQS and VIQI score. A positive correlation was obtained from the total content score along with the total VIQI (r=0.792, p<0.001) and GQS (r=0.778, p<0.001) score and also it was determined that there was a statistically significant positive correlation between VIQI and GQS scores (r=0.930, p<0.001).
Conclusions:
The findings of this study highlight the need for improved content quality and accuracy of YouTube videos on maxillofacial trauma, particularly for layperson audiences. This could be achieved through collaboration between healthcare professionals, commercial entities, laypersons and YouTube to create, review, and promote reliable educational content. By doing so, YouTube can become a more valuable resource for patient education and awareness regarding maxillofacial trauma management and treatment.
The Evaluatıon Of The Oral Hygıene Habıts Of Chıldren Durıng The Post-Earthquake Process In Malatya Provınce
Authors: GÜMÜŞBOĞA Zekiye Şeyma
Published: May 2024

Aim: This cross-sectional study aimed to evaluate the oral hygiene habits of children in the post-earthquake period in Malatya.
Material and Methods: Three hundred parents presented to Inonu University Department of Pediatric Dentistry for examination/treatment participated in this study. The survey consists of a total of 18 questions. Descriptive statistical methods were used when evaluating the study data. The Chi-square test was used to compare qualitative data. Significance was evaluated at p<0.05 level.
Results: 43.3% of the children participating in the study were brushing teeth once a day before the earthquake, 40.3% were brushing teeth rarely, 15% were brushing twice or more a day, and 1.3% were not brushing at all. After the earthquake, the rate of brushing teeth once a day was 31.3%, the rate of brushing teeth twice a day or more was 13%, the rate of rarely brushing teeth was 50%, and the rate of not brushing at all was 5.7%. The decrease in tooth brushing habits of children whose housing changed after the earthquake (30.8%) was statistically significantly higher than that of children whose housing did not change (20%) (p:0.027; p< 0.05).
Conclusion: As a result of this study, it was observed that children's oral hygiene habits unfortunately decreased or disappeared as their housing conditions changed. Appropriate living conditions should be provided for children as soon as possible after natural disasters, and oral hygiene habits should be restarted.
Comparison of Push-Out Bond Strengths of Different Fiber Post Systems Bonded with Resin Cement
Authors: GÜRSES Merve , ÇETİN Ali Rıza , TÜYSÜZ Oğuz Kaan , ÖZKAN Ali Kamuran
Published: May 2024

Aim: This study compares the push-out bond strengths of 3 different fiber post systems bonded with resin cement to root canal dentin.
Material and Methods: The study used 15 extracted single-rooted mandibular canine teeth. After the endodontic treatment of the teeth, they were randomly divided into three groups to apply different post-systems (n=5). Reforpost glass-fiber, Polydentia glass-fiber, and AAA Transparent fiber post systems were used in this study. The posts have adhered to the root canal with Panavia F2.0. A total of 6 slices of 1 mm thickness in the transversal direction were obtained, two from each of the coronal, middle, and apical sections of the prepared samples. The push-out test was performed from apical to coronal at a 0.5 mm/min speed. ANOVA and Tukey HSD tests were used for statistical analysis (p<0.05).
Results: The highest push-out binding values were observed in Polydentia (5.04±0.54); the lowest was seen in Reforpost (1.5±1.03). There was no statistical difference between the push-out binding values of the samples' apical, middle, and coronal regions for Reforpost and Transparent groups. In Polydentia group, the push-out binding values of the coronal region samples were significantly higher than those in the middle region. When the post groups were compared, the difference between the push-out binding values of all groups was statistically significant.
Conclusion: The surface properties of the posts can affect the push-out bonding values. Polydentia showed the highest push-out binding values. In addition, the push-out attachment values of the posts may vary in different root canal regions.
3D printers and their use in prosthetic dentistry
Authors: ERDAŞ Gizem , YANIKOĞLU Nuran
Published: May 2024

In recent years, the use of computer-aided design and computer-aided manufacturing (CAD/CAM) has increased considerably in addition to the traditional methods used in routine. CAD/CAM technology has many advantages. However, despite these advantages, it has a very important disadvantage such as material waste. Today, the technology that overcomes this problem is the additive manufacturing method with three-dimensional printers. This method has recently replaced the traditional subtractive computer-aided design and manufacturing technology in prosthodontics. The use of 3D printers has been increasing in recent years due to its advantages such as ease of production, time saving and material saving, freedom of design, error-free and faster production. It is also predicted that the use of this technology will increase in the future and will be the main method for digital manufacturing. The aim of this review is to evaluate the production methods of 3D printers, the areas of use in prosthodontics, the advantages and disadvantages of 3D production methods, and to review the purposes of use, materials used and developments in prosthodontics.
Pengembangan Bahan Ajar Komik Dengan Model Problem Based Learning (PBL) Pada Tema 7 Energi Dan Perubahannya Kelas III SD
Authors: Santika Mutiara , Lestari Nila
Published: May 2024

Penelitian ini bertujuan untuk : (1) Untuk mengetahui pengembangan bahan ajar komik dengan model problem based learning (PBL) pada tema  7 energi dan perubahannya kelas III SD. (2) Untuk mengetahui kelayakan bahan ajar komik dengan model problem based learning (PBL) pada tema  7 energi dan perubahannya kelas III SD. Penelitian ini merupakan jenis penelitian pengembangan (research and development) dengan mengacu pada model 4D yang merupakan perpanjangan dari Define (Pendefinisian), Design (Perancangan), Development (Pengembangan) dan Dissemination (Diseminasi). Instrumen yang digunakan untuk mengumpulkan data adalah angket. Teknik analisis data yaitu deskriptif kualitatif.  Hasil telaah materi menunjukkan bahwa rata-rata penilaian secara keseluruhan terhadap ahli materi terhadap media didapatkan persentase sebesar 95,3%. Persentase ini termasuk kriteria sangat valid (sangat layak) untuk digunakan sebagai media dalam aktivitas pembelajaran siswa kelas III SD energi dan perubahannya. Hasil telaah media menunjukkan bahwarata-rata penilaian secara keseluruhan didapatkan persentase sebesar 98%. Persentase ini termasuk kriteria sangat valid (sangat layak) untuk digunakan sebagai media dalam aktivitas pembelajaran siswa kelas III SD tema energi dan perubahannya.
The Impact of Cloud Computing in Promoting Economic Growth through SMEs in the United States
Authors: F. Hassan Omolola , O. Aderibigbe Oluwadare , P. Efijemue Oghenekome , D. Onasanya Tolulope
Published: May 2024

Cloud Computing, being one of the most recent innovative developments of the IT world, has been instrumental not just to the success of SMEs but, through their productivity and innovative contribution to the economy, has even made a remarkable contribution to the economic growth of the United States. To this end, the study focuses on how cloud computing technology has impacted economic growth through SMEs in the United States. Relevant literature connected to the variables of interest in this study was reviewed, and secondary data was generated and utilized in the analysis section of this paper. The findings of this paper revealed that there have been meaningful contributions that the usage of virtualization has made in the commercial dealings of small firms in the United States, and this has also been reflected in the economic growth of the country. This paper further revealed that as important as cloud-based software is, some SMEs are still skeptical about how it can help improve their business and increase their bottom line and hence have failed to adopt it. Apart from the SMEs, some notable large firms in different industries, including information and educational services, have adopted cloud computing technology and hence contributed to the economic growth of the United States. Lastly, findings from our inferential statistics revealed that no discernible change has occurred in innovation between small and big businesses in the adoption of cloud computing. Both categories of businesses adopt cloud computing in the same way, and their contribution to the American economy has no significant difference in the usage of virtualization.
Introducing ‘New Cosmopolitanisms’
Authors: Goodman James , Yerbury Hilary
Published: May 2024

In May 2023,  the editorial board of Cosmopolitan Civil Societies hosted an online conference on ‘New Conceptualisations of Cosmopolitanism’. Discussions were rich and varied, across two days and several panels. The event was an experiment for the journal. This Special Issue is the result. There are ten papers in this Special Issue, falling into three broad fields of debate: four on themes of cosmopolitics, ethnonationalism and the national state; three on aspects of work, gender and cosmopolitan identification; and three on issues of climate action, land use and environmentalism. The editorial introduction seeks to summarise papers and draw out some common themes for wider debate.
Caracterización agromorfológica de accesiones de Phaseolus spp., en la región amazonas, Perú
Authors: Vásquez Jheiner , Vilca-Valqui Nuri Carito , Malqui Roiber , Fernández Elizabeth , Duarez Edwin , Ayala Rosmery
Published: May 2024

El Perú cuenta con una alta diversidad genética de leguminosas andinas, especialmente del género Phaseolus. Su identificación a través de descriptores agromorfológicos es trascendental para impulsar su conservación y desarrollar estudios de mejoramiento genético. Bajo este escenario, el objetivo del presente trabajo fue caracterizar morfológica y agronómicamente 58 accesiones de frijol común (Phaseolus spp) depositadas en el banco de germoplasma del Instituto Nacional de Innovación Agraria del Perú. Para ello, se utilizaron 24 descriptores cuantitativos y 18 cualitativos que se evaluaron en la fenología de cada accesión. El análisis de conglomerados y de correspondencias múltiples, permitió identificar la formación de cuatro grupos en función de sus características semejantes. Donde el mayor número de accesiones se localizaron en el tercer y cuarto grupo. Sin embargo, las siete accesiones que conformaron el segundo grupo, exhibieron características promisorias por presentar alta productividad (2777,86 kg/Ha), con semillas blancas, de aceptables dimensiones, con una germinación epigea temprana (10 días), hojas ovada-lanceoladas de crecimiento indeterminado (174,79 cm de altura de planta) que desarrollan numerosas guías. Además de ostentar una floración prolongada (33,86 días) con pétalos rosados y blancos, que dan origen a un mayor número de vainas (66,71 por planta) de color verde hasta alcanzar su madures fisiológica. Cualidades que las convierten en fuente valiosa para la implementación apropiada de futuros programas de mejoramiento genético.
Análisis del crecimiento de dos variedades de papa criolla bajo diferentes tipos de fertilización
Authors: Latorre Araque Carlos Andrés , Quevedo García Enrique , González Ana Francisca
Published: May 2024

Colombia es uno de los mayores productores, consumidores y exportadores de papas diploides. Se evaluó el efecto de diferentes fuentes y dosis de fertilización sobre el crecimiento de papa Criolla Colombia y Ocarina. La semilla agronómica se plantó en surcos a 0,5 cm de profundidad y 0,3 m x 1,0 m de distancia (33.333 plantas·ha-1). Los tratamientos fueron la combinación de variedad y fertilizante [15-15-15 (FQA); urea, fosfato diamónico y cloruro de potasio, previo análisis de suelo (FQ); fertilizante orgánico mineral (FOM) y la mezcla de 50 % de los fertilizantes individuales]. Se realizó un muestreo de tres plantas por tratamiento en cada fase fenológica para determinar: desarrollo fenológico (DF), área foliar (AF), peso foliar específico (PFE) y las tasas: asimilación neta (TAN), relativa de crecimiento (TRC) y crecimiento del cultivo (TCC). Se usó un diseño de bloques completos al azar con medidas repetidas y arreglo factorial 2x7, de cuatro repeticiones y 60 m2 como unidad experimental, y tres plantas como parcela efectiva. La fertilización sólo afectó DF y AF, con la mayor AF para FQA (115 días después de siembra- dds). TAN, TRC y TCC fue mayor para la variedad Colombia. La reducción de TAN y TRC (110 a 115 dds) coincidió con la floración, y el incremento de TCC y AF (115 dds) con la tuberización. La fertilización sólo afectó el DF y el AF, indistintamente de la variedad. FQA+FQ favoreció el mayor DF y FQA la mayor AF. La variedad Criolla Colombia fue precoz y destacó en crecimiento.
Phytoparasitic and free-living nematodes associated with the cultivation of Passiflora ligularis Juss. in the Sandia Valley, Puno Region, Peru
Authors: Lima-Medina Israel , Araujo-Lima Edriana , Bravo-Portocarrero Rosario Y. , Cornejo-Condori Grover B. , Franco-Mariaca Dino V. , Casa-Coila Victor H.
Published: May 2024

The identification of phytoparasitic nematodes, which is essential for the implementation of management strategies, is required for further study. The objective of this work was to identify, at the genus level, the phytoparasites and free-living nematodes associated with the cultivation of sweet granadilla (Passiflora ligularis Juss.) in the valley of Sandia, region Puno, Peru. For the study, 165 soil samples were evaluated, coming from eight communities from the district of Sandia, during the agricultural season 2018–2019. The samples were processed by the method of centrifugal fluctuation in sucrose solution, later identified on the basis of morphological characteristics. The results showed the presence of seven genera of phytoparasitic nematodes, Meloidogyne, Pratylenchus, Helicotylenchus, Mesocriconema, Xiphinema, Tylenchus, and Hemicycliophora, and two genera of free-living nematodes, Aphelenchus and Dorylaimus. The most harmful genera were Meloidogyne and Pratylenchus because they cause damage to other crops. In the nematode community, there was variability in the density and frequency of phytoparasitic and free-living nematodes in the evaluated localities.
Effect of plant density on total oil quality and fatty acid compositions in peanut (Arachis hypogaea L.) cultivars
Authors: Yilmaz Mustafa , Jordan David L.
Published: May 2024

Research in the Eastern Mediterranean Transition Region of Türkiye has demonstrated that plant density impact yield of peanut (Arachis hypogaea L.) cultivars differentially. It is suspected that interactions of plant density and cultivar could also impact oil quality and fatty acid composition when grown in this region. This topic has not been addressed in the country; therefore, the objective of this research was to determine if plant density can affect those variables. The study was conducted in 2020 and 2021 in the zone of Osmaniye to determine total oil content of kernels, and contents of oleic acid, palmitic acid, arachidonic acid, linoleic acid, stearic acid, and lignoceric acid, as well as iodine value and oleic/linoleic ratio for the cultivars Halisbey, Rigel, Aysehanım, NC 7, and Masal. Plant response was in most instances different regardless of plant populations made up of a single row planting pattern with rows spaced 70 cm apart (95.000 plants ha-1) compared with a twin row planting pattern with rows spaced 20 cm apart on 90 cm centers with an intra-row distance of 15 cm (148.000 plants ha-1). It is concluded that no differences in oil quality and fatty acid composition were noted when comparing cultivars established at various combinations of planting pattern and plant population, but there were notable differences among the cultivars.
PRINSIP-PRINSIP DAN IMPLIKASI KOMUNIKASI VERBAL DAN NON-VERBAL DALAM PERSPEKTIF AL-QUR'AN
Authors: Arifin Mohamad Zaenal
Published: May 2024

Tulisan ini bertujuan menelusuri prinsip-prinsip berkomunikasi yang baik dalam singgungan al-Qur'an beserta implikasi yang ditimbulkannya dalam proses komunikasi yang dilakukan oleh seorang individu. Dalam suatu interaksi antara seseorang dengan orang lain, kemampuan berkomunkasi yang baik menjadi hal penting, agar menimbulkan kesepahaman dan menghindari perselisihan. Tulisan ini menggunakan metode library research dimana data primer yang digunakan adalah ayat-ayat al-Qur'an. Data pendukung diambilkan dari kitab tafsir, buku, jurnal, dan sumber lainnya yang relevan. Tulisan ini menemukan bahwa prinsip-prinsip komunikasi yang baik dalam al-Qur'an adalah mengucapkan perkataan yang benar dan tepat sasaran, perkataannya membekas dalam jiwa, perkataan yang sopan dan lembut enak didengar, dan perkataan yang mengandung penghormatan dan penghargaan pada orang lain. Implikasinya adalah ketika berkomunikasi dengan orang lain, pesan komunikasi yang disampaikan setiap orang harus mengandung kebenaran, mengedukasi, menyenangkan bagi pendengar, menggunakan bahasa tubuh yang menarik, seperti bermuka manis, tersenyum, memandang lawan bicara, dan lainnya.
TAJDÎD, ISLAH DAN MODERNITAS: SUATU PERSPEKTIF PEMBAHARUAN DALAM DUNIA ISLAM
Authors: Masykur Fuad
Published: May 2024

Tajdîd, islah dan modernitas adalah sebuah gerakan yang menganjurkan kembali kepada al-Qur’an dan Sunnah, menggelorakan kembali semangat untuk berijtihad, menganjurkan untuk kembali kepada tradisi atau periode salaf. Pendekatan yang digunakan dalam tulisan ini adalah pendekatan kualitatif, yang menitikberatkan pada studi kepustakaan dengan menggunakan model deskriptif-analitis. Penelitian ini menunjukan bahwa makna kembali kepada periode salaf bagi para mujaddîd adalah sebuah gerakan revolusioner atau revitalisasi di berbagai aspek kehidupan ummat Islam. Hal ini bukan berarti hanya kembali kemasa silam an sich, tetapi jika dilihat dari tema-tema yang ada, tajdîd juga bersifat menghimbau kepada semangat masa kini. Misalnya tema-tema gabungan tajdîd-islah dalam tradisi Islam yang menuntut hak untuk berijtihad seraya menegaskan kembali ke sumber-sumber asli. Tajdîd juga berarti pembaharuan dan modernitas dalam Islam. Hal ini dianggap penting untuk meresponi keagungan dunia modern (Barat) yang ditandai dengan canggihnya tekhnologi.
PENERAPAN METODE TEAM TEACHING (STUDI DESKRIPTIF DI SD AL-MA’SOEM)
Authors: Rohmah Hana Nurur
Published: May 2024

This research was conducted with the aim of knowing the application of the team teaching method carried out at Al-Ma'soem Elementary School. This study uses a qualitative descriptive method through data collection techniques in the form of observations and interviews. Based on the results of the research, the stages of implementing the team teaching method in learning are as follows: 1) Planning Stage, where class teachers, subject teachers and subject teachers conduct MGMP to design lesson plans. 2) Implementation Phase, namely the process of learning activities that begins with opening activities by the teacher in charge of teaching. In the core activities, teachers work together to apply the team teaching method by dividing the tasks of one teacher as a teacher and one other teacher as a companion. 3) Evaluation Phase, namely the evaluation process for teachers and students. Teacher evaluation is carried out by providing criticism and suggestions to each teacher in the team regarding the teaching process. Evaluation of students is carried out through summative and formative tests made by each teacher according to the material being taught. So that learning using the team teaching method is also very influential on the achievement of learning objectives.
ANALISIS KESULITAN BELAJAR MATEMATIKA PADA MATERI PENYAJIAN DATA SISWA SEKOLAH DASAR
Authors: Pratama Indra Dio Mei , Mushafanah Qoriati , Purnamasari Veryliana
Published: May 2024

Penelitian ini bertujuan untuk mendeskripsikan jenis Kesulitan yang dialami siswa dalam belajar matematika, faktor penyebab kesulitan belajar matematika, dan upaya guru untuk mengatasi kesulitan belajar matematika. Jenis penelitian ini adalah penelitian kualitatif. Penelitian ini dilakukan di SDN Karangrejo 01 pada PPL I bulan Januari-Maret 2023. Subjek penelitian ini adalah guru kelas dan siswa kelas V dengan menggunakan sampel 5 siswa. Metode pengumpulan data yang digunakan adalah metode observasi, wawancara dan dokumentasi. Hasil Penelitian menunjukkan bahwa siswa kesulitan dalam memahami konsep, kesulitan dalam operasi hitung. Faktor internal yang berupa minat belajar, motivasi belajar siswa yang masih rendah dan eksternal yang berupa penggunaan media pembelajaran yang belum maksimal, variasi guru dalam mengajar menyebabkan peserta didik mengalami kesulitan dalam belajar matematika. Upaya guru dalam mengatasi kesulitan belajar dengan memperbanyak latihan soal, menggunakan media pembelajaran yang konket dan menjalin kerjasama dengan orang tua.
ANALISIS MATERI SEJARAH KEBUDAYAAN ISLAM (SKI) PADA TEMA KETABAHAN NABI MUHAMMAD SAW DAN SAHABAT DI MADRASAH IBTIDAIYAH (MI)
Authors: Siregar Nurul Hidayah , Kosim Muhammad , Rehani Rehani
Published: May 2024

Artikel ini bertujuan untuk menganalisis ruang lingkup materi Sejarah Kebudayaan Islam (SKI) dan menganalisis materi berdasarkan buku teks Sejarah Kebudayaan Islam (SKI) agar materi yang telah ada dapat dikembangkan. Materi Sejarah Kebudayaan Islam (SKI) yang akan dikembangkan yaitu materi tentang “Ketabahan Nabi Muhammad Saw dan Sahabat” yang terdapat dalam bahan ajar Sejarah Kebudayaan Islam (SKI) pada kelas IV semester 1. Pemilihan materi ini dilakukan karena adanya kekurangan dari segi keluasan dan kedalaman materi Sejarah Kebudayaan Islam (SKI) di Madrasah Ibtidaiyah (MI) kelas IV semester 1 untuk itu dilakukan analisis keluasan dan kedalaman materi sehingga sesuai dengan tujuan pembelajaran.Penelitian ini menggunakan metode Research And Depelopment (R&D). melalui model pengembangan 4-D (define, design, develop, dessimination) yaitu metode penlitian yang menghasilkan produk-produk pembelajaran yang diawali dengan analisis kebutuhan, pengembangan produk, evaluasi produk, revisi dan penyebaran produk. Adapun hasil dari penelitian ini adalah dengan menganalisis materi Sejarah Kebudayaahn Islam (SKI) di Madrasah Ibtidaiyah khususnya pada materi “Ketabahan Nabi Muhammad Saw dan Sahabat” pada kelas IV semester 1, diharapkan dapat mengetahui apa saja keluasan dan kedalaman yang perlu ditambahkan dalam materi tersebut serta pengembangan bahan ajar menggunakan handout.
STRATEGI GURU PENDIDIKAN AGAMA ISLAM DALAM MENANAMKAN NILAI-NILAI MULTIKULTURAL DI SEKOLAH
Authors: Al-Wafi M. Sadid , Novrizal Novrizal , Ridwan Muhammad
Published: May 2024

Penelitian ini membahas tentang strategi Guru Pendidikan Agama Islam dalam menanamkan nilai-nilai multikultural di sekolah, sehingga dengan ini dapat dijadikan konsep alternatif pengembangan Pendidikan Agama Islam di Indonesia. Penelitian ini menggunakan pendekatan kualitatif kepustakaan, di mana data-data primer diperoleh dari buku, dokumen, dan artikel jurnal. Adapun hasil temuan dari penelitian ini adalah;  1) Nilai dan prinsip pluralisme, humanisme dan demokrasi dalam multikulturalisme sejalan dengan ajaran agama Islam; 2) Dalam menanamkan nilai-nilai multikultural di sekolah dapat mengembangkan konsep “Manusia Budaya” dengan menggunakan strategi pengajaran model Problem Solving Based Learning (PBL) dan dengan metode pengajaran yang lebih bervariasi, seperti: diskusi, studi kasus, kontribusi, pengayaan, dan aksi sosial.
Enhancing Armenian Automatic Speech Recognition Performance: A Comprehensive Strategy for Speed, Accuracy, and Linguistic Refinement
Authors: Baghdasaryan Varuzhan H.
Published: May 2024

This research introduces a comprehensive strategy to enhance the performance of an existing automatic speech recognition (ASR) model, which has been previously documented in published articles. The study sets out to achieve several objectives. Firstly, it concentrates on updating the ASR model by retraining it with new datasets. This involves integrating samples from the latest Common Voice corpus release and data collected independently via the armspeech.com web application. Another key focus lies in optimizing the ASR model for near-real-time processing, intending to improve its speed and efficiency. The proposed adjustments to the model’s architecture aim to balance accuracy and processing speed, which is essential for applications requiring prompt speech recognition. Furthermore, the research explores the integration of Transformer models into the post-processing pipeline to introduce punctuation and capitalization into the ASR output. This step not only enhances the linguistic quality of transcriptions but also improves their readability and usability. In tandem with these advancements, the research presents a systematic approach to gathering, annotating, and storing datasets specifically tailored for punctuation and capitalization tasks. The methodology outlines the acquisition and organization of a dataset conducive to training Transformer models for these linguistic tasks. This comprehensive approach, which encompasses dataset enrichment, architectural modifications, and post-processing enhancements, aims to elevate the ASR model’s accuracy, speed, and linguistic refinement, with a particular focus on addressing the intricacies of the Armenian language. The research contributes valuable insights into the optimization of ASR systems, tackling both language-specific challenges and broader issues related to linguistic post-processing.
The Impact of Political Instability on School Performance: The Case of African Countries in The Franc Zone
Authors: Dontsi Dontsi , Alexis Nankap Seujib , Dieu Alime Jean De
Published: May 2024

The aim of this paper is to analyse the impact of political instability on school performance in the African countries of the Franc zone. Based on Houssaye’s (1988) pedagogical triangle, we develop a theoretical model in which political instability has a negative impact on knowledge production factors and, in turn, on school performance. These factors include teachers, teaching infrastructure and equipment, and teaching time. Empirical analysis shows that an increase of one percentage point in the synthetic index of internal conflict (reflecting an increase in political instability) leads to a significant drop of 0.07 percentage points in the primary completion rate. The same applies to the pupil-teacher ratio, where an increase (relatively fewer teachers) leads to a reduction in the completion rate. In addition, public spending, official development assistance, and real GDP per capita each have a positive and significant effect on the primary completion rate. A number of recommendations are put forward with a view to limiting the risk of internal conflict.
Balancing Innovation and Risk: Navigating the Societal Impacts of Artificial Intelligence (Part III of III)
Authors: Clingan Phillip D.
Published: May 2024

The paper titled “Balancing Innovation and Risk: In this article, the author of “Societal Impacts of Artificial Intelligence: A Comprehensive Analysis” enquires about A.I.’s many influences on people, like the way it can change everything and how the associated moral issues complicate. It is used to solve social injustice to favor equity and replicate or end the biases in this world and the impact on jobs through automation, which could make some positions redundant. Nonetheless, some jobs were also created from the process. Consequently, moral dilemmas like algorithmic prejudice, privacy infringement, and the threats of these systems escaping human control are discussed. This end-to-end analysis shows that achieving equilibrium for A.I. development can bring out only good for us and control the risks ethically and within the power structure. The paper suggests that future research adopts a profound social impact study, brings the transparency of A.I. algorithms into the limelight, and develops ethical reasoning systems capable of coming up with responsible decisions that benefit people. This will lead to A.I.’s adherence to human values and, consequently, its beneficial contribution to society.
Characteristic of Subcutaneous Mycosis Patients at Prof. Dr. I.G.N.G Hospital, Denpasar, Bali: An Observational Retrospective Study
Authors: Pramita I Gusti Ayu Risma , Karna NLP Ratih Vibriyanti , Karmila IGAA Dwi
Published: May 2024

Introduction: Subcutaneous mycosis infections can occur in tropical and subtropical countries. Indonesia’s geographic location is in a tropical country and is a developing country with the majority of its population working in agriculture, which is a risk factors associated with subcutaneous mycosis. Methods: This is a retrospective observational descriptive study with a cross-sectional design. Data were obtained through medical records from all patients who came for treatment in Prof IGNG Ngoerah General Hospital Denpasar from January 2018 to December 2023. The inclusion criteria in this study were all patients diagnosed with subcutaneous mycosis. The variables studied were age, gender, occupation, comorbidities, first symptoms, skin efflorescence, dermatoscopy finding, and type of mycosis based on yeast culture. Results: A total of 21 cases of subcutaneous mycosis within 5 years. The majority of patients were female, (67%), with the most common age group being 45-64 years (57%). Based on occupation, farmers account for at most (33%). The majority of patients had itchiness (33%) and redness (33%) as the first symptoms, nodule erythema was the most common skin efflorescence (57%), and the most common dermatoscopy finding was yellow dots (57%). The most common fungal infection based on culture was chromoblastomycosis (71%). Conclusion: The majority of patients of subcutaneous mycosis were female, with age group 45-64 years old, and farmers. Itchiness and redness were the common symptoms of the disease. On examination, nodule erythema is the most common skin efflorescence. Chromoblastomycosis was the most common type of infection.
Activités créatives et sociales dans Minecraft: comment un jeu vidéo est mobilisé dans une démarche sociale d'alphabétisation numérique
Authors: Impedovo Maria Antonietta
Published: May 2024

Although interest in children's digital culture in early childhood education is on the rise, research has so far paid limited attention to their digital culture in informal contexts. Our research question is as follows: what are the social and digital literacy implications of children's informal activity in digital games? Drawing inspiration from socio-material theorization as well as Rogoff's work (2014), we explore the social activity of creation within virtual environments. In our case study, we identify two main dimensions: resources for creating digital objects and the social status of digital objects. The interaction between the material and virtual world reveals the richness of dialogues between actors and objects, both inside and outside of games, suggesting new modes of play and engagement with reality.
L’altérité: une composante clé de l'apprentissage par l'expérience?
Authors: Lebreton Maud , Grilli Samuel , Schinz Mathilde , Stern Clothilde
Published: May 2024

Taking the view that learning is only learning when it is accompanied by experience, this research focuses on the identifiable variables of this experiential dimension. To do this, the researchers followed learners as they discovered cultural otherness through the Dialogue en route project (https://enroute.ch/fr/), which involves a dual encounter with a cultural site and a witness to that site.
To reach the learners' semiosis, the researchers documented their learning activity using two types of trace, visual and verbal. Because of their fundamentally different intrinsic characteristics, the two types of trace opened up a process-space of intelligibility that enabled the researchers to empirically document the complexity of meaning-making, its situated nature and its potential impact on learning. To this end, the temporality of trace production was used as an instrument, since the learners photographed moments in the double encounter situation and then captioned them afterwards. Reconstructing the situation as it unfolded turned the visual and verbal modalities into semiotic resources that the learners used to reconstruct their potential experience. For the researchers, the study of the relationships between these two modal traces makes it possible to qualify the experience lived by the learners.
The limited number of so-called 'rupture' relationships between the images and their verbal captions, revealing a singular experience with a high learning potential, raises questions about both the pedagogical device and the emergence of collectively constructed knowledge, captured here in its 'average' restitution rather than in its negotiation.
Influence du leadership de la direction sur l’activité d’une organisation apprenante en contexte d’école primaire québécoise
Authors: Lebeau Elise , Lessard Anne , Granger Nancy , Beaudoin Manon
Published: May 2024

The needs of Quebec students, which have become increasingly diverse and evolving in recent years (Government of Quebec, 2020), call for a change in teaching practices. To achieve this, the development of a mechanism following the principles of the learning organization, such as a professional learning community (PLC), within the school can support these changes. Although principal leadership is likely to be a lever, its influence has been little documented in a Quebec elementary school context. This study therefore examined the influence of principal leadership on the activity of a learning organization, using Engeström's (2000, 2001, 2011, 2015) activity theory. This descriptive qualitative study mobilized the case study approach, involving in an elementary school in the Eastern Townships in which the classroom teachers work in PLC. Semi-directed individual interviews were conducted with the school principal and five teachers. Our analyses show that the principal's leadership contributes to resolving many of the contradictions that can arise in a system of activity, and thus promotes its transformation.
Tanrı’nın Geri Dönüşü: Richard Kearney’in Anateizm Kavramı Üzerine Bir İnceleme
Authors: Cevirici Atilla Sema
Published: May 2024

Anateizm, Tanrı’dan sonra Tanrı’ya geri dönüşü ifade eden bir kavramdır. Dünyanın büyüsünün bozulması ve toplumun kutsallıktan arındırılmasının akabinde ortaya çıkan rahatsızlık karşısında Tanrı’yı yeniden hayatlarımıza geri getirme kaygısının bir sonucudur. Anateizmde öne çıkan tema başkalarında kutsalın tecellisini görmeye çalışarak, Tanrı’yı yaşamlarımıza geri getirmektir. Bu iddiasının zemini olarak Kearney yeni bir Tanrı tasavvuru önermektedir. Buna göre Tanrı bir varlık (esse) olarak değil bir olma olasılığı (posse) olarak düşünülmek suretiyle insanın eyleme özgürlüğüne alan açmakta ve kötülük problemini Tanrısal olmaktan çıkararak insani bir mesele haline getirmektedir. Böylece kötülük Tanrı’nın iradesi kapsamında olmayıp, kutsalın hayatlarımızdan izinin silinmesi olarak görülür. Kearney’in savunduğu şey, günlük efkaristiya ile yani ekmeğimizi başkalarıyla paylaşmak suretiyle başkalarına yönelik konukseverliğe zemin hazırlamak ve Tanrı’yı yeniden hayatımıza geri getirmektir. Bu çalışmada anateizm kavramı bağlamında yeni Tanrı tasavvuru, bu Tanrı’nın hayatlarımıza nasıl ve ne şekilde geri döneceği, bu geri dönüşün ise başkalığa göstereceğimiz konukseverlik ile olan ilişkisi tartışılacaktır. Bu bağlamda anateizmin sunduğu imkanlar ve sorunlar ele alınacaktır. Çalışmamız konu edindiği meseleyi, Richard Kearney’in söz konusu iddialarını ele aldığı iki çalışmasını esas alarak tartışacak ancak yeri geldiğinde Kearney’in diğer çalışmalarına ve bu konu ile ilgili olan farklı görüşlere de yer verecektir.
Project-based learning approach on content mastery and cognitive skills: a pedagogical model for senior high school biology students
Authors: Hornejas Jhester S. , Guntalidad Jose Antonio A.
Published: May 2024

The principal objective of this study was to determine the effectiveness of a project-based learning approach on the performance level and engagement experience of Senior High School Biology students. Quasi-experimental, specifically the One-Group-Pretest-Posttest Design was employed using mean percentage score and t-test as statistical tools in the treatment of data. The findings revealed that the mean percentage score of students across content areas and cognitive skills did not meet the expectations and were interpreted as being at the beginning level. Nevertheless, there is a significant difference between the pretest and posttest results covering content areas, namely: cells, biological molecules, and energy transformation. Likewise, a significant difference was revealed between the pretest and posttest scores throughout cognitive skills, such as comprehension, analysis, and application. The results suggest that the study can be very helpful to teachers of 21st-century learners so that they can have meaningful engagement in the class by exposing them to project tasks that develop their creativity, critical thinking skills, collaboration, ownership, and self-reflection. In addition, teachers should reinforce basic concepts, employ visual aids, foster active learning, stimulate critical thinking, and adopt an inquiry-based approach. They must also facilitate collaborative learning, ensure inclusivity, enhance project-based learning using models, cultivate metacognitive skills, and simplify complex concepts through scaffolding.
The influence of artificial intelligence in higher education based on four thematic axes: a bibliometric study
Authors: Carrión Montalván Bimba Katiuska , Pillajo Angos Carlos German , Castellanos Fonseca Jaime Aurelio , Vega Aguaiza Raúl
Published: May 2024

The article presents a structured bibliometric study examining the impact of artificial intelligence (AI) in higher education across four thematic axes: AI in higher education, AI in education review, AI in the teaching-learning process, and AI tools applied to higher education. Research productivity and impact indicators are analyzed using data from major databases like Scopus, Web of Science, and ScienceDirect. Results reveal a significant increase in AI-related research output, particularly in machine learning, data mining, and learning analytics. The study highlights China and the United States as leading contributors to AI research in higher education. The findings highlight AI's evolving role in transforming higher education and the need for multidisciplinary research approaches to address emerging challenges and opportunities. However, limitations include the reliance on quantitative measures, the narrow temporal scope, and the limited focus on high-production countries. Future research should incorporate qualitative methods to explore practical applications and social impacts more comprehensively, consider a broader range of geographic contexts, and discuss ethical considerations around integrating AI into higher education.