bluuebunny/crossref_metadata_2025 huggingface dataset:
Recursos Didácticos para un Clima Escolar Saludable en el Ambiente de Aprendizaje Psicomotricidad con Niños y Niñas de 3 a 4 Años
Authors: Tacuri Albarracín Verónica Gabriela , Zhañay Salto Joan Carolina , Encalada Calle Sergio Patricio
Published: January 2024

La investigación surgió de una necesidad educativa observada en las aulas del subnivel inicial 2 “A” matutino en la Unidad Educativa Manuel J Calle en Cuenca, Azuay. El objetivo del estudio fue la implementación de recursos didácticos que ayuden a generar un clima escolar saludable en el ambiente de aprendizaje “Psicomotricidad” con niños y niñas de 3 a 4 años. A nivel metodológico se aplicó el enfoque cualitativo y se usó el método de Investigación-acción IA, además, se diseñaron, aplicaron y analizaron diferentes técnicas e instrumentos. A partir de la aplicación y evaluación de la propuesta, los principales hallazgos encontrados fueron cambios significativos en el desarrollo del clima escolar del aula, al promover la práctica de valores y la asimilación de comportamientos propicios para el trato respetuoso de los demás. Además, se consolidó al silencio y el asombro como valores que, desde la escucha efectiva y el diálogo, favorecieron nuevas formas de comunicación, interacción y de convivir en un contexto de comunidad educativa.
Prototipo de software Ahorro de energía
Authors: Arias Hernández Lina Ernestina , Urbina Amador Ana Lilia , Hamdan Medina Lamia , Cerrillo Andrade Estefanía , Estrada Retes María del Rosario , Gómez Valle Edgar Manuel
Published: January 2024

El cuidado del uso de la energía eléctrica es una prioridad a nivel mundial. En este proyecto se implementa un prototipo de software para la concientización del uso de energía eléctrica tanto para adultos como para niños y jóvenes. El objetivo es crear una cultura en el consumo eléctrico en la sociedad y disminuir el gasto de energía. Para el prototipo, denominado “Ahorro de Energía”, se diseñó un sistema web que está dirigido a los hijos e hijas de trabajadores de CFE. Durante el desarrollo de este trabajo se utilizó un enfoque descriptivo y se aplicó la metodología “Design Thinking” para crear una solución adecuada a los requerimientos de la empresa. Las herramientas del backend permitieron codificar el sistema web así como la creación de la base de datos y las de frontend hicieron posible el diseño de los formularios de una manera sencilla. El prototipo que se presenta cubre las especificaciones de la empresa, la base de datos contiene información que es empleada para generar estadísticas que muestren el impacto de la concientización en el uso y consumo de la energía eléctrica.
Implementación de un Programa de Formación del Docente de Matemáticas para la Enseñanza de la Geometría con el Apoyo de las TIC
Authors: De León De Hernández Inés María , Cerrud Álvarez Franklin
Published: January 2024

Las Tics en el proceso de enseñanza – aprendizaje se hallan en constante auge y emplearlas como herramienta metodológica en matemática presenta un reto docente, por ser una ciencia abstracta y porque en la formación y ejecucion de los contenidos son complejos requiriendo innovación pedagógica áulica. Esta investigación esta orientada en el enfoque cuantitativo, con diseño cuasi experimental con pre-test y postest, de tipo descriptivo, correlacional y explicativo, en donde la muestra de la población de estudio se obtuvo aplicando un muestreo no probabilístico, obteniendo la participación de 10 docentes y 30 estudiantes. Se proyecta una propuesta la cual conlleva el desarrollo de 12 sesiones para la ejecución de los contenidos. Con base en los resultados se concluye que más del 75% no ha participado de jornadas de formación, sin embargo, si lo reconocen como recurso tecnológico necesario en la educación básica de los estudiantes, interiorizando que la utilización de estrategias innovadoras, apoyadas con el uso de herramientas tecnológicas, permiten mejorar el proceso de enseñanza-aprendizaje de la Geometría en los estudiantes.
Material Characterizations of the Polymers Reinforced with Recycled Flexible Plastic Blends as Filament for 3D Printing
Authors: Nur Nazira Alias  , Ireana Yusra Abdul Fatah  , Yew Been Seok  , Sharifah Hanis Yasmin Sayid Abdullah  , Amir Hussain Bhat  , Saiful Bahri Mohd Diah
Published: January 2024

The high consumption of single-use plastics and the low recycling rates have seriously polluted the soil and ocean environments. Thermoplastic materials from recycling can be used to make filaments for 3D printing. This study is focused on preparing, characterizing, and comparing the polymers reinforced with recycled flexible plastic blends to be used as a filament in additive manufacturing. In this regard, two types of polymers were used to create the filament: High-Density Polyethylene (HDPE) and Polypropylene (PP), which were mixed with recycled flexible plastic (RF). The mixture was initially used to create filament by using a single extrusion machine, with various ratios of virgin HDPE and PP to recycled flexible plastic (in weight%) at temperatures of 190°C and 230°C. Then, the filament blends were characterized using infrared (IR) spectroscopy, thermogravimetric analysis (TGA), and field emission scanning electron microscopy (FESEM). TGA analyses revealed that RF can increase the thermal stability of V- HDPE and V-PP upon blending, and HDPE/RF blends show a higher decomposition temperature than PP/RF. FESEM indicated that adding 30% RF is the best percentage for both polymer blends where the structure appears ductile. It can be concluded that the HDPE 70% blend is suitable for 3D printer filament as it showed the best decomposition temperature and the ductility of the fracture structure, which meet the requirements for 3D printer filament.
Aspect-Based Classification and Visualization of Twitter Sentiment Analysis Towards Online Food Delivery Services in Malaysia
Authors: Khyrina Airin Fariza Abu Samah  , Nur Shahirah Jailani  , Raseeda Hamzah  , Raihah Aminuddin  , Nor Afirdaus Zainal Abidin  , Lala Septem Riza
Published: January 2024

Twitter has become a popular platform for the citizens of Malaysia. Twitter’s ease of expressing opinions could be used to evaluate and review Malaysian Online Food Delivery (OFD) providers. Due to competition from other OFDs in Malaysia, companies need to know customer feedback. OFD reviews are unstructured and massive, making comparisons difficult. Next, some websites evaluate OFD yet only consider pricing, delivery time, and customer experience. Customers cannot visualize the comparison based on users’ preferences, bilingual reviews, and less time-consuming to visualize OFD using the website. Thus, this study aims to design a web application system that uses Naïve Bayes to categorize Twitter sentiment analysis (SA) on Malaysia’s best OFD. It is based on customer satisfaction, visualizing the results, developing the system, and evaluating its accuracy, functioning and usability. Users can read about specific OFD by viewing Twitter SA visualization or comparing them directly. Five aspect-based SA types were presented: affordable price, promotion and discount, review rating, delivery time and condition of food delivered. Functionality testing demonstrated the accomplishment of all objectives. The training and testing data could predict OFD’s Twitter sentiment with 71.67% and 76.29% accuracy for English and Bahasa Melayu, respectively. The system’s usability produced a 94.64% average score using System Usability Scale and was considered “excellent”. Thus, it can be concluded that this study can solve the mentioned issues of OFD and ease the aspect-based comparison.
Membantu pembuatan plang jalan arah kp. Cikondang desa cikahuripan kecamatan cisolok
Authors: Sugih Chandra Kayat
Published: January 2024

Kp. Cikondang Desa Cikahuripan berlokasi didataran tinggi jauh dipelosok tepat di bawah kaki pegunungan, sehingga ketika kita ingin tahu lokasi Kp. Cikondang ini sangat sulit diketahui bagi orang dari luar Dusun Cibangban khususnya orang luar yang bukan masyarakat dari Desa Cikahuripan itu sendiri. Untuk mengetahui lokasi tersebut diperlukan petunjuk arah. Oleh karena itu, Kami Mahasiswa KKM STISIP Widyapuri Mandiri Sukabumi berinisiatif membantu dalam pembuatan Plang Jalan Kp. Cikondang. Diharapkan untuk masyarakat diluar dusun maupun diluar dari Desa Cikahuripan dapat dengan mudah menemukan lokasi Kp. Cikondang. Selain itu juga penyebaran informasi mengenai Kp. Cikondang yang jarang diketahui oleh Masyarakat luar ini dapat dengan cepat tersebar keluar dusun karena banyaknya orang lewat yang melihat petunjuk arah Kp.Cikondang. Mahasiswa KKM pun tidak membuat plang jalan sendiri atau menggunakan bahan yang ada, namun kami sengaja memesan plang jalan dari orang yang sudah biasa dan profesional agar plang jalan tersebut bisa bertahan lama.
Pengaruh Pengawasan Kepala Sekolah Terhadap Efektivitas Pelaksanaan Program Indonesia Pintar (PIP) Di Smpn 1 Warungkiara Kabupaten Sukabumi.
Authors: Dede Riansyah
Published: January 2024

Permasalahan dari penelitian ini belum optimalnya efektivitas Program Indonesia Pintar, salah satu faktor yang dianggap mempengaruhi yang belum optimalnya pelaksanaan dari program indonesia pintar. Penelitian ini bertujuan untuk mengetahui : (1) Bagaimanakah Pengawasan Kepala Sekolah di SMPN 1 Warungkiara Kabupaten Sukabumi? (2) Bagaimanakah Efektivitas Pelaksanaan Program Indonesia Pintar (PIP) di SMPN 1 Warungkiara Kabupaten Sukabumi? (3) Seberapa Besar Pengaruh Pengawasan Kepala Sekolah terhadap Efektivitas Pelaksanaan ProgramiIndonesia Pintar (PIP) di SMPN 1 Warungkiara Kabupaten Sukabumi?. Peneliti menggunakan teori Pengawasan menurut Siagian (2017 : 114-115) dan Teori Efektivitas menurut Saxena dalam Indrawijaya (2010:176).
Peneliti menggunakan pendekatan kuantitatif, sampel yang digunakan 108 orang dari populasi 893 orang diambil dengan teknik dengan metode Disproportionate stratified random sampling dan alat probabilityisampling bantu rumus Slovin. Ada dua variabel yang dikaji dalam penelitian ini yaitu Pengawasan Kepala Sekolah (VX) dan Efektivitas Pelaksanaan Program Indonesia Pintar (VY). Instrumen utama yang digunakan dalam penelitian ini adalah kuesioner dengan rating scale 5 (lima) pilihan. Data yang dikumpulkan selanjutnya dianalisis menggunakan teknik analisis deskriptif dengan menggunakan rata-rata item, sedangkan teknik analisis statistik menggunakan analisis korelasi, dan model persamaan regresi linier sederhana.
Hasil perhitungan menunjukan bahwa nilai hasil rata-rata kumulatif variabel Pengawasan Kepala Sekolah sebesar 4,04 termasuk dalam kategori baik, sedangkan Efektivitas Pelaksanaan Program Indonesia Pintar (PIP) sebesar 4,08 termasuk dalam kategori baik. Hasil dari analisis diperoleh  = 0,708 yang termasuk dalam kategori kuat dengan nilai signifikansi (2-tailed) 0.000 > 0.005 atau  = 10,33 >  = 1,982 sehingga dapat disimpulkan bahwa Pengawasan Kepala Sekolah berpengaruh positif dan signifikan terhadap Efektivitas Pelaksanaan Program Indonesia Pintar, sedangkan Koefisien Determinasi (KD) sebesar 0,501 yang berarti 50,1% variabel Efektivitas Pelaksanaan Program Indonesia Pintar (Y) dapat dijelaskan oleh variabel Pengawasan Kepala Sekolah (X) dan selebihnya ditentukan oleh faktor-faktor lain. Selanjutnya, model persamaan regresi linier adalah Ŷ = 16,045 + 0.747X. oleh karena itu, untuk meningkatkan hasil Efektivitas Pelaksanaan Program Indonesia Pintar (PIP) disarankan kepada Kepala Sekolah untuk meningkatkan fungsi pengawasan
Analisis Kompetensi Pedagogik Guru Lulusan Non PGPAUD dalam Melaksanakan Penilaian Pembelajaran
Authors: Putri Gita Novika , Rohmadheny Prima Suci , Mashar Riana , Hastuti Dwi
Published: January 2024

Salah satu unit PAUD yang masih banyak gurunya belum memenuhi kualifikasi akademik adalah PAUD. Selain itu, guru yang pernah atau belum mengikuti pelatihan berjenjang mengalami kesulitan dalam melaksanakan penilaian pembelajaran terutama pada tahap pencatatan. Berdasarkan kondisi tersebut, penelitian ini dilakukan untuk menganalisis kompetensi pedagogik guru lulusan non-PGPAUD dalam melaksanakan penilaian pembelajaran. Subjek penelitian adalah guru lulusan non PGPAUD yang mengajar di PAUD Fullday Terpadu Aisyiyah Kasihan Bantul yang berjumlah 4 orang guru. Jenis penelitian yang digunakan adalah deskriptif kualitatif. Teknik pengumpulan data menggunakan wawancara dan dokumentasi dengan keabsahan data menggunakan member check melalui FGD (Focus Group Discussion). Teknik analisis data yang digunakan adalah model Spradley. Hasil penelitian menunjukkan bahwa guru PAUD Terpadu Fullday Aisyiyah Kasihan Bantul telah memenuhi 6 dari 7 indikator kompetensi dalam melaksanakan penilaian pembelajaran. Faktor yang mempengaruhi kompetensi guru dalam melaksanakan penilaian yaitu mengikuti pelatihan berjenjang dan dorongan dari kepala sekolah. Namun guru masih kesulitan dalam mencatat data penilaian berupa catatan anekdot, pekerjaan, dan daftar periksa. Oleh karena itu, kepala PAUD Terpadu Fullday Aisyiyah Kasihan Bantul perlu mendorong para guru untuk meningkatkan kompetensi dan kualifikasi akademiknya dengan menempuh pendidikan S1 PGPAUD.
Analisis Keterampilan Mengajar Guru dalam Memberikan Penguatan Kepada Anak Usia Dini
Authors: Listia Wan Nova , Tobing Devina Lumban , Nasution Riska Humaiya , Sihombing Yesika Tiaman , Anzelina Winna
Published: January 2024

Guru harus menguasai keterampilan mengajar agar proses pembelajaran menarik dan tujuan pembelajaran dapat tercapai. Salah satu keterampilan mengajar tersebut yaitu keterampilan memberikan penguatan. Penelitian  ini  dilakukan  untuk  mengetahui  penguasaan  guru  dalam     memberikan penguatan dikelas. Penelitian ini dilakukan dengan metode deskriptif kualitatif dan teknik pengumpulan data yang digunakan ialah observasi  dan dokumentasi. Adapun yang  menjadi subjek dari penelitian ini adalah guru   2 orang guru di Tk Asisi Medan. Hasil penelitian berdasarkan observasi yang telah dilakukan menunjukkan bahwa keterampilan guru dalam memberikan penguatan yang dilakukan oleh guru sudah baik dalam penguatan verbal maupun non verbal. Hal ini terlihat dimana guru telah memberikan penguatan dengan  menggunakan  bahasa  yang  mudah  dipahami anak dan tidak berbelit- belit juga sering memberikan penguatan kepada anak dengan memberikan pujian atas apa yang telah dicapai anak.
Anti-Leukemic Effect of Malachite Green-Mediated Photodynamic Therapy by Inducing ER Stress in HL-60 Cells
Authors: ÇALIŞKAN Metin , BAYRAK Gulsen , ÖZLEM ÇALIŞKAN Sercin
Published: January 2024

Aim: Our objective is to explore the relationship between the anti-leukemic impact of malachite green-mediated photodynamic therapy (PDT) and the induction of endoplasmic reticulum (ER) stress in acute promyelocytic leukemia cells (HL-60).

Material and Method: For one hour the cells were incubated with different concentrations (3.125, 1.56, 0.78, 0.39, 0.195, 0.0975, 0.04875 μM) of malachite green and then were exposed to 0.47 mW/cm2 irradiance and 0.84 J/cm2 fluence for 30 minutes. Also, HL-60 cells were exposed to PDT with light only and both in the presence or absence of malachite green. MTT assay was used to determine cell viability, and immunocytochemical staining was used to detect the expression of ER stress markers Protein Kinase R-like ER Kinase (PERK) and Glucose-regulated protein 78 (GRP78).

Results: The cell viability of the treatment group (combination of malachite green and light) was significantly decreased compared to the malachite green, control group, and light control. Moreover, immunocytochemical staining scores showed that PERK and GRP78 were significantly upregulated in the treatment group compared with other groups.

Conclusion: Our results indicate that ER stress may contribute to the cytotoxicity occurring in HL-60 cancer cells after malachite green-mediated PDT. Future studies will be crucial in shedding light on the molecular mechanisms underlying ER stress that may occur after PDT. These findings lay the foundation for further investigations in this area.
Gossypin Regulated Doxorubicin-Induced Oxidative Stress and Inflammation in H9c2 Cardiomyocyte Cells
Authors: YAZĞAN Yener , YAZĞAN Betül
Published: January 2024

Aim: Doxorubicin (DOX), an anthracycline, is widely used in chemotherapy due to its effectiveness in fighting many cancers. Experimental and clinical studies prove that this drug damages non-targeted tissues (including cardiomyocytes) and reduces patients' quality of life during and after DOX treatment. The discovery of potent compounds as a protective tool to slow cardiomyocyte damage during the use of anti-cancer drugs such as DOX is crucial for both more effective cancer treatment and to improve patient's quality of life. Gossypin (GOS) is a flavonoid with several important properties, such as anti-cancer, analgesic, antioxidant, and anti-inflammatory. GOS shows supportive effects against oxidative stress and inflammation by activating antioxidant defense enzymes.

Material and Method: For the study, four groups were formed from H9c2 embryonic cardiomyocyte cells as Control, DOX (1 μM, 48 h), GOS25 (25 µg/ml, 48 h), and GOS50 (50 µg/ml, 48 h). In the study, Total antioxidant and oxidant status (TAS and TOS), levels of the inflammatory cytokines IL 1 beta and 6, and TNF α, lipid peroxidation levels as malondialdehyde (MDA), glutathione peroxidase (GSHPx), and glutathione (GSH) levels in the H9c2 embryonic cardiomyocyte cells were determined.

Results: The results showed that DOX treatment caused cell toxicity in the embryonic cardiomyocyte cells and increased TOS, IL 1 beta and 6, TNF α, and MDA levels while decreasing TAS, GSH, and GSHPx levels. This situation improved with GOS treatment.

Conclusion: As a result, it was determined that GOS treatment showed a protective effect in the DOX-induced cell toxicity model in H9c2 embryonic cardiomyocyte cell lines.
Can Mecsina Hemostopper, which has a Cytotoxic Effect on Mcf-7 Cells, be Considered an Anticarcinogenic Agent due to its Immunological Properties?
Authors: ÇİÇEK Mustafa , TÜMER Mehmet Kemal , TURGUT Alpgiray
Published: January 2024

Aim: Mecsina is used as a hemostatic agent such as Ankaferd and Tranexamic acid. To struggle with breast cancer, which is a serious public health issue, new, effective, and less toxic therapeutic agents are needed. Hence, it is aimed to compare and evaluate the effects of Mecsina and Ankaferd, both of which contain natural biomolecules in their structure, and synthetic Tranexamic acid on MCF-7 cells.

Material and Method: For this study, MCF-7 immortalized cell lines were commercially purchased. The cells, 5000 cells per flask for each different dose group, were distributed to the 9 groups (mecsina 1:1, 1:2, 1:10, 1:50, 1:100, 1:200, 1:500, distilled water administered negative and control without any administration). Cytotoxicity, ELISA cytokine levels were evaluated, and flow cytometric analyzes were performed for each group using the XTT analysis method, after 24 hours of incubation.

Results: A significant difference was observed between different doses of drug administration groups of Mecsina Hemostopper hemostatic agent in MCF-7 cells (p
Bibliometric Analysis of Articles on Methanol Poisoning in Web of Science Database
Authors: KOCA Pelin , ÖZBEK Hanefi
Published: January 2024

Aim: Methanol, which is a type of toxic alcohol, can cause poisoning through voluntary or involuntary exposure. It is known that the frequency of methanol poisoning has increased especially recently. The aim of this research is bibliometric analysis of scientific studies conducted on methanol poisoning in Web of Sciences (WoS) database.

Material and Method: Studies in Web of Science database including the words “methanol” or “methyl alcohol” in their title and the words “poisoning” or “poison” or “toxicity” or “toxic” or “overdose” as the topic were reviewed as of 21.08.2023. “Web of Science Categories”, “Web of Science Index” and “Document Types” categories were used as filtering options. Language of article, year of publication, the journal in which it was published, the publishing company to which the journal is affiliated, authors of the article, institutions of authors, the country where the research was conducted, whether financial support was received and citation status of the research were analysed and evaluated.

Results: A total of 548 articles were included in the research. It was found that language of most of the studies were English (n=536; 97.8%) and they were published in journals that were in Science Citation Index-Expanded (SCI-E) (n=451; 82.3%) indices. It was found that the highest number of articles were published in 2020 and the country in which the highest number of articles was published was the United States of America (n=143; 22.7%).

Conclusion: The present research performs a bibliometric analysis of articles on methanol poisoning in WoS database. The data found in this research can be a valuable source for other researchers and a guide future studies.
Is There a Relationship between Insulin Resistance and Eosinophil, Inflammatory Parameters Neutrophil to lymphocyte ratio, C-Reactive Protein Values?
Authors: YİĞİT Meltem , OLUKMAN Özgür
Published: January 2024

Aim: The relationship between insulin resistance and inflammation and atopy is a matter of curiosity and various studies have been conducted. Study results show differences. We aimed to evaluate the relationship between insulin resistance and inflammation and atopy using C-Reactive Protein (CRP) and Neutrophil to lymphocyte ratio (NLR) as eosinophils and inflammatory indices and to determine whether the low-cost hemogram can be used as a reliable marker.

Material and Method: Between May 2022 and November 2023, 1566 children admitted to the Pediatrics outpatient clinics of İzmir Bakırçay University Çiğli Training and Research Hospital were retrospectively screened. A total of 349 pediatric patients without any known chronic disease and with complete blood count, CRP and HOMA-IR levels were retrospectively included in the study.

Results: Individuals with HOMA-IR
COMMUNICATE TO ENGAGE: STORYTELLING, CONTENT CREATION, AND PROMOTING THE IDEA OF SUSTAINABILITY AND INTERCULTURAL DIALOGUE IN TRAVEL VIDEOBLOGS
Authors: Maj Anna
Published: January 2024

In the area of digital media narratives, an important communication role is played by influencers who, thanks to original media messages, become creative gatekeepers of specific ideas. Travel videoblogs are often underestimated as pure entertainment, whereas they can be seen as important tools for public discourse creators. The research uses methods of compositional and content analysis, supplemented with narratology and netnography. In the space of popular travel videoblogs, the main ideas promoted include the ideas of sustainable development and intercultural dialogue. Bloggers create and stimulate the existence of online communities, express specific ideas, concepts and worldviews that partly come from the area of scientific discourse, particularly anthropological, cultural and ethical ones. The research highlights the serious public role played by the digital nomads as influencers and new kind of friendly authority and presents case study of successful communication strategies, narrative skills and technical competences of authors. The online travel narratives can be seen as marketing of ideas and thus used as practical tool of communication for institutions, non-governmental organizations and other actors of communication. The paper analyses new material (new genres of communication, new channels, new strategies) and topic of high importance in the context of intercultural conflicts and ecological problems. One of the most influential Polish travel vlogs, Globstory by Kaja Kraska (initiated in August, 2014), serves here as a case study. It was chosen because its content is typical for this genre and because of creative and engaging practices of the vlogger who successfully influences the public and its understanding of specific ideas and problems.
RESEARCH TRENDS IN DIGITAL TRANSFORMATION IN SUPPLY CHAIN BASED ON BIBLIOMETRIC AND NETWORK ANALYSIS
Authors: Oh Keontaek , Yoo Hanna , Jeong EuiBeom
Published: January 2024

With the development of the 4th Industrial Revolution technology, the digitalization of supply chain is also receiving a lot of attention. With various technological developments, the importance of digital transformation in a firm’s supply chain is increasing. Therefore, for a more comprehensive understanding of digital transformation in supply chain, we have implemented a rigorous systematic literature review by supplementing the shortcomings of existing literature and combining bibliometric analysis and network analysis with keyword network analysis. Using the SCOPUS database, we collected 182 papers addressing digital transformation in the supply chain published in renowned business administration journals, identified research trends. Then, we analyzed the connection of citations as well as the author’s keywords and their changes over time. Based on these results, this study presents the number of publications and changes in papers by period, influential authors and papers, key keywords and topics, etc. on digital transformation in supply chain.
Modeling Current and Future High-cadence Surveys of Repeating Fast Radio Burst Populations
Authors: McGregor Kyle , Lorimer Duncan R.
Published: January 2024

In recent years, the Canadian Hydrogen Intensity Mapping Experiment (CHIME) interferometer has revealed a large number of fast radio bursts (FRBs), including a sizable population that demonstrates repeating behavior. This transit facility, employing a real-time FRB search pipeline, continually scans the sky with declinations between −10° and 90° for events with fluences ⪆0.4 Jy ms. We simulate a population of repeating FRBs by performing Monte Carlo simulations of underlying source populations processed through a mock CHIME/FRB observing pipeline. Assuming intrinsic repeater rates follow a Poisson distribution, we test assumptions about the burst populations of the repeater sample, and construct models of the FRB sample assuming various cosmological distributions. We infer the completeness of CHIME/FRB observations as a function of observing cadence and redshifts out to 0.5. We find that, if all simulated bursts have a fixed Poisson probability of repetition over their integrated time of observation, repeating burst detections across comoving volume should continue to grow near linearly on the order of decades. We predict that around 170 of the current CHIME/FRB one-off sources will ultimately repeat. We also make projections for FRB repeaters by future facilities and demonstrate that the number of repeaters they find could saturate on a ∼3 yr timescale.
Assessing the invasion potential of five common exotic vine species in temperate Australian rainforests
Authors: Bernich Adam , French Kris , Bedward Michael
Published: January 2024

To compare the capacity of native and exotic vine species established under a rainforest canopy, a comparison of growth rates and resource allocation was made amongst five exotic vine species that are serious and common invaders and two common native vine species under two light conditions reflective of edge and interior canopy conditions. All species experienced heavy reductions in growth parameters in the low-light treatment, but three exotic species showed stronger growth under the low light. All exotic species had higher plasticity in leaf morphology showing a significant increase in SLA under low light. Native vines may have a lower capacity to change leaf morphology in shade, as a result of local adaptation to edge habitats. Higher SLA under both low and high light conditions suggests that exotic vines species are able to exploit a range of forest conditions better than the native species. Three species, Anredera cordifolia, Araujia sericifera and Cardiospermum grandiflorum, appear particularly capable of invading rainforest interiors. Individuals produced few leaves, focusing resources on roots and stems suggesting a response to reach the canopy quickly. With their long-distance seed dispersal, plasticity in leaf SLA and high RGR, these species appear most likely to invade undisturbed rainforest.
Multilayered Exudative Bacillary Layer Detachment in Active Choroidal Neovascularization: A New Optical Coherence Tomography Sign
Authors: Fernández-Vigo José Ignacio , López-Guajardo Lorenzo , Dolz-Marco Rosa , Donate-López Juan
Published: January 2024

In this article, we present three cases diagnosed with active choroidal neovascularization (CNV): two cases diagnosed with neovascular age-related macular degeneration (nAMD), and one case with myopic CNV in an elderly eye that presented a characteristic and unique optical coherence tomography (OCT) sign consisting of well-defined, circular-shaped multiple concentric layers of alternating iso-hyperreflective material located between the external limiting membrane and outer photoreceptor layers, which seems to be a multilayered bacillary layer detachment (BALAD). Multilayered exudative BALAD in active CNV may be a new and characteristic OCT sign.

[
Ophthalmic Surg Lasers Imaging Retina
2024;55:92–94.]
Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networks
Authors: Zhao Zhipeng , Hu Zhenyu , Zhao Zhiyu , Du Xiaoyu , Chen Tianfei , Sun Lijun
Published: January 2024

System-level fault diagnosis model, namely, the PMC model, detects fault nodes only through the mutual testing of nodes in the system without physical equipment. In order to achieve server nodes fault diagnosis in large-scale data center networks (DCNs), the traditional algorithm based on the PMC model cannot meet the characteristics of high diagnosability, high accuracy and high efficiency due to its inability to ensure that the test nodes are fault-free. This paper first proposed a fault-tolerant Hamiltonian cycle fault diagnosis (FHFD) algorithm, which tests nodes in the order of the Hamiltonian cycle to ensure that the test nodes are faultless. In order to improve testing efficiency, a hierarchical diagnosis mechanism was further proposed, which recursively divides high scale structures into a large number of low scale structures based on the recursive structure characteristics of DCNs. Additionally, we proved that $ 2(n-2){n^{k-1}} $ and $ (n-2){t_{n, k}}/{t_{n, 1}} $ faulty nodes could be detected for $ BCub{e_{n, k}} $ and $ DCel{l_{n, k}} $ within a limited time for the proposed diagnosis strategy. Simulation experiments have also shown that our proposed strategy has improved the diagnosability and test efficiency dramatically.
Sobre Pedro González Gallardo y su Viaje de Jerusalén (Sevilla, Juan de León, 1605)
Authors: De Lama de la Cruz Víctor
Published: January 2024

El Viaje de Jerusalén de Pedro González Gallardo se considera una obra perdida, pues nadie declara haber visto un ejemplar desde hace más de cien años. Sin embargo, los bibliógrafos, los historiadores de Fregenal de la Sierra (Badajoz), donde nació el autor, y los de Sevilla, donde vivió sus últimos años, nos han transmitido noticias sueltas que, con la debida contextualización, nos permiten delinear la peculiar personalidad de este peregrino septuagenario y perfilar los rasgos más sobresalientes de su relato de viaje a Tierra Santa.
Tópicos clásicos en un soneto prologal de Herrera (1619): “El bello nombre quiere Amor que cante”
Authors: Ramajo Caño Antonio
Published: January 2024

El soneto prologal del libro II de Versos (1619) de Fernando de Herrera ofrece una profusión de tópicos clásicos: es “Amor” quien inspira al poeta. Este, en la estela de Propercio y Tibulo, y primero en la literatura hispánica, recoge “flores”, que simbolizan versos, en las riberas del Betis, río que, esclarecido por el canto, se levanta orgulloso sobre otros ríos de la tradición literaria.
The Design of a Learning Experience Platform using xAPI with Design Thinking Learning to Promote Innovation
Authors: Nilmanee Thunchanok , Sintanakul Krich , Sakulviriyakitkul Puttida
Published: January 2024

This research focuses on designing a learning experience platform using xAPI and incorporating design thinking principles to foster innovation. The study focused on two main areas: a) analyzing and synthesizing the conceptual framework for a learning experience platform using xAPI with design thinking learning to promote innovation; and b) evaluating the suitability of a learning management model design for the learning experience platform using xAPI with design thinking learning to promote innovation. The evaluation was conducted by nine experts and the model consists of five parts: 1) the student module, 2) the teacher module, 3) the learning module, 4) the analytical module, and 5) the portfolio module. These modules were derived from an assessment of the suitability of the learning style, which indicated the highest level. The result regarding the suitability of the components of the LEP-DT learning model was at the highest level ( x = 4.79, S.D). The value is 0.39. According to the assessment results, the model can be applied to learning management.
Analysis of Abstractive and Extractive Summarization Methods
Authors: Kirmani Mahira , Kaur Gagandeep , Mohd Mudasir
Published: January 2024

This paper explains the existing approaches employed for (automatic) text summarization. The summarizing method is part of the natural language processing (NLP) field and is applied to the source document to produce a compact version that preserves its aggregate meaning and key concepts. On a broader scale, approaches for text-based summarization are categorized into two groups: abstractive and extractive. In abstractive summarization, the main contents of the input text are paraphrased, possibly using vocabulary that is not present in the source document, while in extractive summarization, the output summary is a subset of the input text and is generated by using the sentence ranking technique. In this paper, the main ideas behind the existing methods used for abstractive and extractive summarization are discussed broadly. A comparative study of these methods is also highlighted.
L’enseignement du FLE en Algérie, un regain d’intérêt pour la compétence grammaticale
Authors: Bouchair Bouba , Boufenara Hanene
Published: January 2024

La réforme éducative a presque banni la compétence linguistique du référentiel national. Tout est centré sur celle discursive, même si elle ne dote pas l’apprenant du FLE d’une compétence communicative. L’écart entre l’enjeu communicatif et les activités proposées dans les manuels est donc patent. Notre contribution descriptive, viendra souligner cette discordance et proposer une méthode palliative qui aide l’élève à développer sa compétence communicative.
DEI's Impact on Organizational Change in Addressing Institutional Racism in an Employment Setting
Authors: Panjwani Shama
Published: January 2024

Institutional racism is when there is discrimination or unequal treatment of a particular cultural group within an institution. The purpose of this chapter is to highlight the performative nature of diversity, equity, and inclusivity (DEI) and the impact it has on individual people, organizational systems, and structures. The author will explain the concept of systemic or institutional racism and oppression as it applies to an organizational setting. This chapter begins by discussing the impact of institutional racism on organizational culture and the role DEI plays within an organization to work towards conflict resolution using the organization development (OD) model to educate the leaders and staff within the organization. Once the chapter explains the performative role of DEI, it will then discuss the impact of this framework on individuals and systems in which it is applied. A fictional case scenario will be used throughout the chapter to demonstrate how institutional racism can show up within an employment setting for immigrants and how DEI and OD can help address it.
Interrogating the Air We Breathe
Authors: Kares Faith , Broussard Rhonda J. , Ralston Nicole Caridad , Rawlings Lesley Brown , Taylor Stephanie , Young Lauren
Published: January 2024

Racism and structural inequity have become so hegemonic to our way of living and navigating the world, the prospect of generating something else in its place can be daunting. However, this is precisely what Beloved Community, a Black woman founded and led diversity, equity, and inclusion (DEI) nonprofit consulting firm, aims to do: interrogate hegemonic systems while generating something new and different. This chapter shares how a pro-Black, pro-Queer, and pro-Woman organization leverages organizational values of “abundance,” “people change systems,” and “interrogate neutrality” to disrupt white supremacy culture characteristics (e.g., perfectionism, sense of urgency, paternalism) as they surface in various work streams. The contributors provide concrete examples of how white supremacy culture traits emerge in business development, finance and operations, data and research, and education and programming; how organizational leadership and management has addressed them; and key lessons learned.
Flash Floods
Authors: Beilicci Erika Beata Maria , Beilicci Robert Florin
Published: January 2024

The objectives of the chapter are the identification of flash flood causes, their negative effects on environmental factors, and to study of modeling with advanced hydroinformatic tools. The authors analyzed the following models: DUFLOW, developed by the International Institute for Hydraulic and Environmental Engineering, Delft, The Rijkswaterstaat (Public Works Department), Tidal Water Division, The Hague, The Delft University of Technology The Netherlands; Hydrologic Engineering Center's Hydrological Modeling System runoff model, developed for the U.S. Army Corps of Engineers; Water Erosion Prediction Project, developed by USDA Forest Service, Agricultural Research Service, Natural Resources Conservation Service, Department of Interior's Bureau of Land Management, and Geological Survey from USA and MIKE11 by DHI, developed by Danish Hydraulic Institute, rainfall-runoff module. The authors conducted case studies of these models on different small hydrographic basins, located in west Romania, in the Banat region. Some possible measures to reduce the negative effects of flash floods are listed.
Google Earth Engine (GEE) for Modeling and Monitoring Hydrometeorological Events Using Remote Sensing Data
Authors: Hazaymeh Khaled Mohmmad Amin , Zeitoun Mohammad
Published: January 2024

Google Earth Engine (GEE) has emerged as a powerful platform for modeling and monitoring extreme hydrometeorological events. In recent years, GEE has been used extensively for studying floods, droughts, and other natural disasters. It offers a comprehensive suite of tools that can help researchers and practitioners better understand the complex interactions between weather, climate, and water resources. By providing access to a wealth of satellite imagery, climate data, and geospatial datasets, GEE enables users to model and monitor these events with unprecedented accuracy and efficiency. This book chapter explores the various ways in which GEE can be used for modeling and monitoring extreme hydrometeorological events, understanding hydrometeorological events and their monitoring needs, including case studies and practical examples. It's worth noting that this chapter mainly focuses on using GEE for remote sensing and geospatial data analysis into hydrometeorological modeling and monitoring.
Coloniality and Whiteness in Evangelical ESL Classrooms
Authors: Hughes Ruthanne
Published: January 2024

This chapter ethnographically investigates how ideologies of whiteness and missions interact in an evangelical English language school in South Carolina. Using discourse analysis of classroom observations and interviews with five teachers across eleven classes, the chapter explores how whiteness is central to but unmarked in the presentation of American culture that students are socialized into, and how legacies of colonialism and assimilationist strategies are upheld in the presentation of white evangelical culture as equivalent to American culture. The ideologies described here demonstrate how contemporary practices of evangelical ESL programs continue to reflect a lingering history of colonialism and white supremacy in which the field of English teaching has long been implicated (Han & Varghese, 2019; Kim, 2019; Kubota, 2001, 2021; Pennycook, 2002; Vaccino-Salvadore, 2021; Vandrick, 1999). It is important to note where the legacy of these movements remains so that biases and harmful practices can be confronted and ameliorated.
Intelligent Support for Cardiovascular Diagnosis
Authors: Durga K. Poomari
Published: January 2024

The AI-CDSS is a powerful tool designed to assist healthcare professionals in making informed and evidence-based decisions in patient care. It leverages artificial intelligence algorithms and data analysis techniques to provide personalized recommendations and insights. This system explores the features and benefits of the AI-CDSS, including patient data analysis, diagnostics and treatment recommendations, drug interaction and adverse event detection, predictive analytics, real-time monitoring and alerts, and continuous learning and improvement. The model also discusses the applications of AI-driven decision-making systems in healthcare, focusing on areas such as cancer diagnosis and treatment, chronic disease management, medication optimization, surgical decision support, infectious disease outbreak management, radiology and medical imaging analysis, mental health support, and clinical trials and research. Additionally, the chapter highlights existing methodologies, such as deep learning models like CNNs and RNNs, that have shown potential in cardiovascular disease prediction.
Artificial Intelligence and Machine Learning Models for Alzheimer's Disease
Authors: Gambhir Ananya , Bansal Ansh , Rawat Saurabh , Sah Anushree
Published: January 2024

Alzheimer's disease is a brain disorder that slowly destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. In most people with the disease, those with the late-onset type symptoms first appear in their mid-60s. Early-onset Alzheimer's occurs between a person's 30s and mid-60s and is very rare. Alzheimer's disease is the most common cause of dementia among older adults. Early diagnosis of Alzheimer's disease is essential for the progress of more prevailing treatments. Machine learning (ML), a branch of artificial intelligence, employs a variety of probabilistic and optimization techniques that permits PCs to gain from vast and complex datasets. As a result, researchers focus on using machine learning frequently for diagnosis of early stages of Alzheimer's disease. This project presents a review, analysis and critical evaluation of the recent work done for the early detection of Alzheimer's disease using ML techniques.
AI-Decision Support System
Authors: Khanh Phan Truong , Ngoc Tran Thi Hong , Pramanik Sabyasachi
Published: January 2024

From the impact of several corporeal, mechanized, ecological, and civic conditions, underground water pipelines degrade. A motivated administrative approach of the water supply network (WSN) depends on accurate pipe failure prediction that is difficult for the traditional physics-dependent model to provide. The research used data-directed machine learning approaches to forecast water pipe breakdowns using the extensive water supply network's historical maintenance data history. To include multiple contributing aspects to subterranean pipe degradation, a multi-source data-aggregation system was originally developed. The framework specified the requirements for integrating several data sources, such as the classical pipe leakage dataset, the soil category dataset, the geographic dataset, the population count dataset, and the climatic dataset. Five machine learning (ML) techniques are created for predicting pipe failure depending on the data, like LightGBM, ANN, Logistic Regression, K-NN, and SVM algorithm.
IoT-Integrated Machine Learning-Based Automated Precision Agriculture-Indoor Farming Techniques
Authors: Rajendiran Gowtham , Rethnaraj Jebakumar
Published: January 2024

Precision agriculture driven by the integration of the advanced technologies like internet of things (IoT) and machine learning (ML) is revolutionary precision agriculture, especially the indoor farming techniques. This chapter explores the comprehensive application of IoT and ML in automating indoor cultivation practices, examining their diverse benefits and practical uses in comparison with the traditional farming methodologies. IoT enables the indoor farmers to create controlled environments through interconnected sensors, monitoring crucial variables but not limited to temperature, humidity, and light intensity. Complemented by ML algorithms, data analysis becomes efficient, providing predictive models for crop growth, pest detection, and disease outbreaks. Automated environment climate control systems optimize resource utilization, while precision irrigation minimizes water usage. Real-time monitoring and early detection of plant health issues reduce crop losses, ensuring high-quality produce.
Exploring the Power of AI-Driven Decision Making in the Judicial Domain
Authors: Thomas Anu
Published: January 2024

Artificial intelligence (AI) has emerged as a promising technology capable of revolutionizing the judicial system by improving decision-making processes and reducing human biases. This manuscript explores the transformative potential of artificial intelligence (AI) in the judicial domain. It discusses the existing works in AI for predictive analytics, document analysis, and automated case management, in terms of methodologies and qualitative metrics used in each application. The manuscript also acknowledges the benefits, challenges, and solutions associated with incorporating AI into the judicial domain. These include the need for transparency and explainability in AI algorithms, and the ethical issues surrounding bias and privacy.
Information Governance Framework to Achieve Information Hygiene in South Africa
Authors: Netshakhuma Nkholedzeni Sidney , Khadambi Itumeleng
Published: January 2024

This chapter aims to develop an information governance framework to achieve information hygiene. In this study, information hygiene is defined as a process to achieve proper information. Information hygiene is developed to prevent any form of fake news. Fake news in this context is defined as misrepresentation of information, created to harm the person. Fake information developed extensively during the spread of COVID-19 in 2019. This chapter will use literature to review the content of the study.
Journey From FOMO to JOMO by Digital Detoxification
Authors: Bhalla Pretty , Kaur Jaskiran , Zafar Sayeed
Published: January 2024

Digital transformation has long been prioritized by corporate companies, both big and small, in almost every sector, due to the urgency of market rivalry. Digital technology is present everywhere nowadays, and it plays a significant role in our daily lives. The fast development of inexpensive and widely available media technologies, together with almost universal internet connection, is profoundly changing how society functions. Digital technology is transforming how we obtain information and communicate with one another more quickly than before. The speed at which digital changes are occurring is having a significant impact on how we live, work, and interact. There seems to be a new cautionary tale about how digital technologies are ruining social life every day. Some of the discussion about the effects of digital technology in recent years has resembled a moral panic.