bluuebunny/crossref_metadata_2025 huggingface dataset:
A Pragmatic Study: Investigating The Meaning of Social Deixis in Spoken Discourse
Authors: Fatmah Fatmah , Lutpiah Indri , Laden Sari Sucita , Mulatsih Devi , Jaufillaili Jaufillaili
Published: June 2024

This research aims to investigate the types of social deixis and analyze their social meaning in a speech context. This research used a qualitative method. The participant of this research is Retno Marsudi’s utterances, who the Ministry of Foreign Affairs of the Republic of Indonesia. The data was collected from YouTube and a transcript from the Ministry of Foreign Affairs of the Republic of Indonesia’s website. The data collected was analyzed using qualitative analysis, where the data was divided into five types of deixis and then narrowed down into two types of social deixis. After the data narrowed down, the researchers analyzed the meaning of the social deixis based on contextual and sociocultural theory. The results of the analysis conclude that there are two types of social deixis: 1) relational social deixis and 2) place social deixis with three data of relational and one data of place social deixis. The social meaning of social deixis imply profesionalism, social status, familiarity, and formality.
Kejadian Ikutan Pasca Imunisasi (KIPI) Vaksin Covid-19 Pada Mahasiswa Di Satu Universitas Swasta Indonesia Bagian Barat
Authors: Pangkey Ballsy Cicilia Albertina , Manullang Dian Riccen , Simbolon Maya Rani , Naibaho Ranita Fitriani , Panjaitan Masruda A
Published: June 2024

Latar Belakang: Coronavirus Disease 2019 (Covid-19) merupakan penyakit pernapasan yang pertama kali muncul di Kota Wuhan, Cina yang disebabkan oleh SARS-CoV-2. Vaksinasi merupakan pilihan yang digunakan dalam mencegah penyebaran Covid-19. Vaksinasi adalah pemberian vaksin (antigen) yang dapat merangsang pembentukan imunitas (antibodi) sistem imun di dalam tubuh. Vaksinasi sebagai upaya pencegahan primer yang sangat handal untuk mencegah penyakit. Adapun dalam pelaksanaan vaksinasi ditemukan beberapa kejadian KIPI vaksinasi.  
Tujuan: Untuk mengetahui Kejadian Ikutan Pasca Imunisasi (KIPI) Vaksin Covid-19 Pada Mahasiswa di Satu Universitas Swasta Indonesia Bagian Barat.  
Metode: Metode penelitian ini menggunakan metode kuantitatif dengan desain desksriptif analitik. Teknik pengambilan sampel menggunakan teknik total sampling yang berjumlah 235 mahasiswa. Instrumen yang digunakan adalah kuesioner. Penelitian ini dilaksanakan pada tanggal 01-28 Februari 2022. Teknik analisa data yang digunakan adalah analisa data univariat.  
Hasil: Jenis KIPI yang dialami oleh responden yang paling banyak adalah nyeri di area penyuntikan yaitu berjumlah 100 responden (92,6%), dan jenis KIPI yang tidak dialami oleh responden adalah pingsan dan pembesaran kelenjar aksila. Jenis vaksin yang memunculkan paling banyak KIPI adalah vaksin Sinovac. 
Kesimpulan:  Hasil penelitian ini diharapkan dapat memberikan gambaran tentang kejadian KIPI, sebagai data awal dalam penelitian selanjutnya tentang penanganan terhadap KIPI yang muncul, hubungan karakteristik dengan kejadian KIPI, dan tentang kejadian KIPI pada jenis vaksin Covid-19 lainnya.
Multi-Class Network Anomaly Detection Using Machine Learning Techniques
Authors: Gunupusala Satyanarayana , Kaila Shahu Chatrapathi
Published: June 2024

Computer networks rely on Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) to ensure the security, reliability, and availability of an organization. In recent years, various approaches were developed and implemented to create effective IDSs and IPSs. This paper specifically focuses on IDSs that utilize Machine Learning (ML) techniques for improved accuracy. ML-based IDSs have verified to be successful in discovering network attacks. However, their performance tends to decline when dealing with high-dimensional data spaces. It is essential to develop a suitable feature extraction strategy that could identify and remove irrelevant features that do not significantly classification process to address this issue. Additionally, many ML-based IDSs exhibit high false positive rates and poor detection accuracy when trained on unbalanced datasets. In this study, we analyze the UNSW-NB15 IDS, which will serve as the training and testing data for our models. In order to reduce the feature space and improve the efficiency of our analysis, we leverage a filter-based feature reduction method utilizing the Pearson correlation coefficient algorithm. By identifying and selecting only the most relevant features, we are able to streamline our dataset and focus on the variables that have the highest impact on our analysis. This approach not only reduces computational complexity but also improves the interpretability of our results by eliminating unnecessary noise from the data. After applying the feature reduction technique, we proceed to implement a range of machine learning methods to perform our classification task. These include well-known algorithms such as Stacking, Extra Trees, Multi-Layer Perceptron, XGBoost, K-Nearest Neighbors, Logistic Regression, Naïve Bayes, Support Vector Machine, Random Forest, and Decision Tree. By employing a diverse set of algorithms, we are able to explore different modeling approaches and evaluate their effectiveness in accurately classifying the various types of assaults. In order to assess the performance of our classification models, we utilize a range of specialized evaluation metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), R2-Score, Mean Squared Error (MSE), Precision, F1-Score, Recall, and Accuracy. These metrics provide us with a comprehensive understanding of how well our models are performing across different dimensions, including the accuracy of predictions, the level of precision in classifying different assault types, and the overall goodness-of-fit of our models. By considering multiple evaluation metrics, we are able to gain a more nuanced understanding of the strengths and weaknesses of each algorithm and make informed decisions about their suitability for our classification task. These metrics deliver a complete evaluation of the classifiers’ effectiveness in detecting community intrusions.
Invasive Mammary Paget’s Disease Without Underlying Malignancy: A Case Report
Authors: Citra Kalisa Raja Eka , Ennesta Asri  , Indah Indria Sari
Published: June 2024

Background: Mammary Paget's disease (MPD) with skin invasion is a rare condition that is often associated with an underlying malignancy. However, invasive MPD without malignancy is even rarer and often misdiagnosed.
Case presentation: This report presents the case of a 56-year-old woman who presented with a progressively enlarging scaly erythematous plaque on her left nipple for 6 months. Dermoscopy and histopathological examination confirmed the diagnosis of invasive MPD, but radiological examination did not reveal any malignancy.
Conclusion: Invasive MPD without malignancy is a rare but important entity to recognize. Awareness of this condition can help prevent overdiagnosis and unnecessary treatment.
Key points for the management of hepatitis C in the era of pan-genotypic direct-acting antiviral therapy
Authors: Xiong Hao , Guo Jinsheng
Published: June 2024

Hepatitis C viral infections present a significant global health challenge, carrying substantial economic implications. These infections manifest in various clinical forms, including acute and chronic hepatitis, liver cirrhosis, hepatic failure, and hepatocellular carcinoma (HCC). Liver cirrhosis and HCC emerge as the primary contributors to mortality in hepatitis virus-induced liver diseases. To alleviate the public health impact of this disease, it is imperative to enhance the diagnosis and treatment rates among hepatitis C virus-infected individuals. The advent of direct-acting antivirals (DAAs), especially pan-genotypic regimens such as a combination of sofosbuvir and velpatasvir, has shown remarkable progress in achieving hepatitis C cure. However, potential obstacles, such as drug adverse effects and resistance-associated substitutions (RASs), warrant attention. Managing chronic hepatitis C (CHC) requires tailored treatment plans, vigilant monitoring, and judicious re-treatment strategies.
Aloysia citrodora extract as a chemopreventive agent against HPV16-induced lesions: findings from K14-HPV16 mice
Authors: Medeiros-Fonseca Beatriz , Faustino-Rocha Ana I. , Silva Jéssica , Silva Mónica G. , Pires Maria João , Neuparth Maria João , Vala Helena , Vasconcelos-Nóbrega Cármen , Dias Maria I. , Barros Lillian , Gonçalves Lio , Gaivão Isabel , Bastos Margarida M. S. M. , Félix Luís , Venâncio Carlos , Medeiros Rui , Gil da Costa Rui M. , Oliveira Paula A.
Published: June 2024

Aim: Aloysia citrodora has a long history of traditional use in treating various ailments. This study evaluated the in vivo chemopreventive efficacy and systemic toxicity of an extract of A. citrodora in a transgenic mouse model of HPV16 (human papillomavirus type 16)-induced cancer. Methods: The experiment involved six groups (n = 5): group 1 (G1, wild-type (WT), water), group 2 (G2, HPV, water), group 3 (G3, WT, 0.013 g/mL), group 4 (G4, HPV, 0.006 g/mL), group 5 (G5, HPV, 0.008 g/mL), and group 6 (G6, HPV, 0.013 g/mL). Throughout the assay, humane endpoints, body weight, food, and water consumption were recorded weekly. The internal organs and skin of the mice were collected for analysis after they were sacrificed. Toxicological parameters that were studied included hematological and biochemical blood markers, splenic and hepatic histology, and hepatic oxidative stress. Results: A. citrodora extract seems to reduce the incidence of dysplastic and in situ carcinoma skin lesions induced by HPV16 in this model, suggesting that dietary supplementation with concentrations of 0.008 g/mL and 0.013 g/mL may have beneficial chemopreventive effects. Conclusions: The extract did not induce any concentration-dependent toxicological effects on any of the parameters included in the study, indicating a favorable toxicological profile under these experimental conditions.
BPJS Patient’s Satisfaction Towards Waiting Time of Administrative and Pharmacy Services
Authors: Wardani Silvia Intan , Guntari Gusti Agung Sri
Published: June 2024

Introduction: The waiting time for services is one of the aspects that is thought to affect patient satisfaction. In many hospitals, patients frequently complain about the length of the wait for services. The study aims to explore BPJS patients’ satisfaction with the waiting time of administrative and pharmacy services. Methods: The literature review was to examine the results of previous research in published articles. Articles were carried out via PubMed, Science Direct, and Google Scholar using the keywords using keyword were “BPJS patient’s satisfaction”, “administrative services”, and “waiting time pharmacy”. The inclusion criteria of this study were BPJS patients’ satisfaction, published articles in Bahasa or English, and full-text access. The study only focused on administrative services and waiting time pharmacy, all of the studies involved other conditions that were removed. Data were extracted and recorded using a table consisting of author names, years, methods, instruments, and findings, including factors related to and variable dimensions. Result: The findings of this study highlight several key factors influencing BPJS patients' satisfaction with waiting times for administrative and pharmacy services. Conclusion: BPJS patient satisfaction is influenced by multiple factors, including waiting times for administrative and pharmacy services, overutilization, patient expectations, communication, and perceived quality of service.
Penerapan Model Pembelajaran VAK Fleming Dalam Materi Menyimpulkan Isi Cerita Anak
Authors: Rosmawati Eros , Pradityana Karisdha
Published: June 2024

Salah satu kesulitan yang dialami siswa dalam pembelajaran bahasa Indonesia yaitu dalam memahami penjelasan materi menyimpulkan isi cerita anak. Penelitian ini bertujuan untuk meningkatkan kemampuan siswa dalam menyimpulkan isi cerita anak dalam beberapa kalimat. Metode yang digunakan pada penelitian ini yaitu penilitian tindakan kelas menggunakan rancangan penelitian model Spiral dari Kemmis dan Taggart, dengan tahapan mulai dari perencanaan, tindakan, observasi dan refleksi. Teknik pengumpulan. Dari data yang telah diambil, diperoleh fakta untuk kinerja guru bahwa pada siklus I mencapai 60% dari aspek-aspek yang dinilai, siklus II 80%, dan siklus III menjadi 100%. Untuk aktivitas siswa, dari 24 siswa terdapat 5 siswa (25%) yang ditafsirkan mendapat nilai B (Baik) pada siklus I, siklus II 14 siswa (70%), dan siklus III menjadi 18 siswa (85%). Untuk hasil belajar pada data awal, dari 20 siswa hanya 5 siswa (25%) yang mencapai kriteria ketuntasan minimum (KKM) 70. Setelah siklus I, siswa yang mencapai KKM menjadi 6 siswa (30%), siklus II 12 siswa (60%) dan pada siklus III 18 siswa (90%) berhasil memenuhi KKM melebihi target penelitian. Dengan demikian, dapat disimpulkan penerapan model pembelajaran VAK Fleming dapat meningkatkan hasil belajar siswa pada materi menyimpulkan isi cerita anak.
Penerapan Nilai Cinta Tanah Air Di SDN Sertajaya 05 Cikarang Timur Bekasi Tahun Ajaran 2022-2023
Authors: Pertiwi Desinta Hardina Gita , Kurnia Ira Restu
Published: June 2024

Penelitian ini bertujuan untuk mengetahui cara guru dalam menerapkan nilai cinta tanah air dan hambatan-hambatan yang dialami guru dalam menerapkan nilai cinta tanah air terutama pada kegiatan upacara bendera. Penelitian ini merupakan penelitian kualitatif. Adapun data yang diperoleh dari data primer dan sekunder. Metode pengumpulan data sumber primer melalui wawancara, observasi dan dokumentasi. Sedangkan data sekunder berasal dari wawancara, buku, literatur lainnyasebagai pelengkap data primer. Dalam penelitian ini, menggunakan metode analisis deskriptif. Hasil penelitian menunjukkan bahwa penerapan nilai cinta tanah air melalui kegiatan upacara bendera di SDN Sertajaya 05 dengan menambahkan sikap kedisiplinan, sehingga peserta didik dapat memahami upacara bendera dengan baik. Dalam proses pelaksanaan upacara bendera berjalan dengan baik. Akan tetapi terdapat hambatan dalam persiapan dan pelaksanaanya upacara bendera yaitu dari peserta didik maupun kesibukan guru tidak bisa melatih peserta didik yang akan bertugas sebagai petugas upacara
Analisis Gaya Belajar Siswa pada Pembelajaran Kurikulum Merdeka di Kelas V SD
Authors: Sutisna Atang , Listriyani Rinda
Published: June 2024

Pada proses pembelajaran guru harus menerapkan gaya belajar dan media yang bervariasi karena setiap siswa memiliki gaya belajar yang berbeda-beda. tujuan dilakukannya penelitian ini yaitu untuk menganalisis bagaimana gaya belajar yang digunakan siswa pada pembelajaran kurikulum merdeka di kelas V SD Negeri 3 Sukarapih. Penelitian ini adalah penelitian kualitatif dengan metode penelitian studi kasus. Metode pengumpulan data yang digunakan yaitu wawancara dan dokumentasi. Data yang dikumpulkan dianalisis menggunakan analisis deskriptif. Sumber data dalam penelitian ini yaitu kepala sekolah, guru, siswa serta orang tua siswa kelas V di SD Negeri  3 Sukarapih. Terdapat 14 responden yakni 1 orang kepala sekolah, 1 orang guru kelas V, 6 orang siswa kelas V, dan 6 orang orang tua siswa. Pengumpulan data dilakukan melalui teknik wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa mayoritas siswa kelas V memiliki kecenderungan pada salah satu gaya belajar yaitu gaya belajar kinestetik dengan sebaran hasil rata-rata presentase yaitu gaya belajar kinestetik (50%), gaya belajar visual (33%), dan gaya belajar auditorial (17%). Hal tersebut menunjukan bahwa siswa di kelas V SD Negeri 3 Sukarapih dalam pembelajaran kurikulum merdeka dominan pada gaya belajar kinestetik. Siswa lebih menggemari aktivitas yang berhubungan dengan gerak serta interaksi kelompok. Media yang digunakan yaitu media gerak berupa praktik atau eksperimen membuat kerajinan, menggambar, dan lain sebagainya.
The Influence of the Think Talk Write Cooperative Learning Model on Social Studies Learning Outcomes for Class IV Elementary Schools
Authors: Tantri Tantri Septiarini , Fanny Arif Mahya
Published: June 2024

This research aims to see the effect of implementing the Think Talk Write (TTW) type cooperative learning model on learning outcomes in the material Benefits of Diversity and Preserving Cultural Diversity for Class IV Elementary School at SDN Gayungan II/423 Surabaya. This research is a quantitative experimental research with a One-Group Pretest-Posttest Design. The data collection technique used was a Pretest-Posttest activity in the form of a multiple choice test. This research used two groups, namely the experimental class and the control class. Class VI-A is an experimental class with 25 students, while class VI-B is a control class with 25 students. The data analysis technique using the T test obtained a Sig (2-tailed) result of 0.000 < 0.05 so that HO was rejected and Ha was accepted, which means it can be concluded that there is an influence of the Think Talk Write (TTW) type cooperative learning model on the learning outcomes of Social Science Class IV Elementary School.
Challenges and Opportunities for Special-Needs Children in Elementary Schools
Authors: Fajri Bayu Ramadhani , Jauhari Muhammad Nurrohman
Published: June 2024

This research explores the challenges and opportunities for inclusive education for special-needs children in elementary schools in Indonesia. It examines the impact of government policies, the actual conditions in the field, and the availability of supporting facilities and resources. The study utilizes a qualitative method with a case study approach, involving various stakeholders such as special-needs children, teachers, parents, and school principals as informants. Findings indicate that while government policies have improved access to education for special-needs children, there are disparities in implementation and resource allocation among schools. Teachers face obstacles due to a lack of specialized training and high workloads, while limited facilities and stigma also hinder inclusive education. The research emphasizes the need for continuous support, changes in community attitudes, and improvements in teacher training and facilities to ensure effective inclusive education for special-needs children in elementary schools.
Senatvinio silpnumo sindromas: svarba, diagnostika ir valdymas
Authors: Zinkevičiūtė Vaiva
Published: June 2024

Pasaulio žmonių populiaciją sudaro vis didesnė senyvo amžiaus žmonių dalis. Vidutinė gyvenimo trukmė per pastaruosius 80 metų išaugo 22 proc., o sergamumas lėtinėmis ligomis – net 700 proc. Lėtinėmis ligomis sirgti pradeda vis jaunesni asmenys, o vyresnio amžiaus žmonės vis dažniau serga keliomis lėtinėmis ligomis vienu metu. Geriatrijoje išskiriamas pagrindinis tikslas, apibrėžiantis senyvo amžiaus žmonių sveikatos ir gyvenimo kokybės užtikrinimą – išvengti arba atidėti dauginį ligotumą, fizinės ir protinės funkcijos prastėjimą, sarkopenijos pradžią bei senatvinio silpnumo sindromo (angl. frailty) pasireiškimą. Straipsnyje didžiausias dėmesys skiriamas senatvinio silpnumo sindromui. Senatvinio silpnumo sindromas – vis dažnesnė senyvo amžiaus pacientų problema. Šio sindromo diagnostika gali būti sudėtinga dėl nespecifinių ir pačių pacientų dažnai toleruojamų simptomų. Visa tai kelia didelį susirūpinimą, nes minėtas sindromas reikšmingai didina kryčių bei traumų, hospitalizacijų kiekį, taip pat lemia didesnį mirtingumą. Diagnostika ir rizikos veiksnių korekcija bei tinkamos intervencijos yra itin reikšmingos dėl galimybės pakankamai nesudėtingai sustabdyti šio sindromo eigą ir išvengti sveikatai reikšmingų padarinių. Du svarbiausi mokslu grįsti metodai senatviniam silpnumo sindromui valdyti – fizinio aktyvumo intervencija (veiksminga netgi labiausiai pažengusiose ligos stadijose) ir daugiadalykės medicinos darbuotojų komandos priežiūra, suteikiant pacientui nuoseklią, įvairiapusišką ir individualizuotą pagalbą.
Dual-Functionalized Architecture Enables Stable and Tumor Cell-Specific SiO2NPs in Complex Biological Fluids
Authors: Sousa Ribeiro Iris Renata , da Silva Raquel Frenedoso , Domingues Romênia Ramos , Leme Adriana Franco Paes , Cardoso Mateus Borba
Published: June 2024

Most commercial anti-cancer nanomedicines are administered intravenously. This route is fast and precise as the drug enters directly into the systemic circulation, without undergoing absorption processes. When nanoparticles come into direct contact with the blood, however, they interact with physiological components that can induce colloidal destabilization and/or changes in their original biochemical identity, compromising their ability to selectively accumulate at target sites. In this way, these systems usually lack active targeting, offering limited therapeutic effectiveness. In the literature, there is a paucity of in-depth studies in complex environments to evaluate nanoparticle stability, protein corona formation, hemolytic activity, and targeting capabilities. To address this issue, fluorescent silica nanoparticles (SiO2NPs) are here functionalized with zwitterionic (kinetic stabilizer) and folate groups (targeting agent) to provide selective interaction with tumor cell lines in biological media. The stability of these dually functionalized SiO2NPs is preserved in unprocessed human plasma while yielding a decrease in the number of adsorbed proteins. Experiments in rat blood further proved that these nanoparticles are not hemolytic. Remarkably, the functionalized SiO2NPs are more internalized by tumor cells than their healthy counterparts. Investigations of this nature play a crucial role in garnering results with greater reliability, allowing the development of nanoparticle-based pharmaceutical drugs that exhibit heightened efficacy and reduced toxicity for medical purposes.
Role of Matra Basti and Akshitarpan in the Management of Sjogren’s Syndrome W.S.R Vatadhikya Vatarakta: A Case Study
Authors: Singla Dr. Raja , Yadav Dr. Harish , Kamboj Dr. Anjali
Published: June 2024

Sjögren’s syndrome, characterized by lymphocytic infiltration of salivary and lacrimal glands leading to glandular fibrosis and exocrine failure with Clinical manifestations of keratoconjunctivitis sicca, resulting from inadequate lubrication due to inflammatory infiltration of lacrimal glands, and xerostomia, manifesting as a dry mouth. In Ayurveda patient’s symptomatic representation can be correlated with vataadhkiya vatarakta. In the present case report, a 50-year-old female Lucy Chaudhary from Noida, Uttar Pradesh with complaints of dry eyes, dry mouth and pain in multiple joints with generalized weakness for the past three years. Previously she had taken allopathic treatment, but she did not have any relief. The patient was managed with Panchkarma procedures including Matra Basti and Akshi Tarpan for 16 days with an interval of 8 days. The therapy got its effective results in treating Sjögren's syndrome which depicts that Ayurveda therapeutic protocols can be successfully adopted in the case of Sjögren's syndrome.
Developing a Smart Integrated Animal Tracking System Using Smart Sensors to Effectively Localize Humans(Students) for Various Applied Purposes
Authors: Lamba Suchit
Published: June 2024

The Internet of Things, or IoT, is changing our way of life, from how we react to how we act. IoT is a system for linking computing devices, machines, any technological objects, animals, and humans who are outfitted with RFIDs for unique identifiers by transmitting data in a network without requiring human-to-human or human-to-computer interaction.
Effect of Interval Training on Hematocrit and Hemoglobin Levels of Sprinters
Authors: Patidar Divyam
Published: June 2024

Background & Objective – This study aims to investigate the effects of interval training on the blood hemoglobin level and hematocrit (Hct) of sprinters. Method – This experimental research used a repeated measure ANOVA design. For the study, 40 male sprinters were selected using a purposive sampling technique and they were further randomly assigned to two groups named the control group and the experimental. The experimental group received interval training 3 times a week for a duration of 6 weeks. To examine the effect of interval training on hemoglobin levels and hematocrit blood samples were taken at three different levels - before training (pre-test), after 2 weeks of training (mid-test), and after completion of training (post-test), Hemocue Hb 201 devices were used to measure hemoglobin levels. The result of the study was analyzed using repeated measures-ANOVA. The findings of the study indicated that average hemoglobin and hematocrit levels significantly increased among the experimental group. It can be concluded that 6 weeks of interval training can significantly raise increase hemoglobin levels and hematocrit among sprinters.
Promoting Undergraduates’ Interest in Mathematics as a Discipline of Study in Tertiary Institutions: An Exploration of Pragmatic Strategies for Policy Decision
Authors: Aselebe Lateefat Olanike , Farayola Philip Iyiola , Aselebe Kamorudeen Oladapo
Published: June 2024

The waning interest of students in pursuing mathematics as a discipline at the tertiary level contributes to the shortage of mathematics teachers in Nigeria. It is disheartening to observe the declining trend in students opting for mathematics at the undergraduate level, especially given the significant contributions of mathematics in achieving the objectives of tertiary education in Nigeria. This paper explored pragmatic strategies for policy decisions aimed at enhancing undergraduates’ interest in mathematics as a discipline of study. Key strategies include innovative teaching methods, collaborative learning environments, mentorship programmes, and digital transformation. The paper recommends policy measures such as competitive salaries, ongoing professional development, and incentives to attract and retain qualified mathematics educators. Additionally, it advocates for the establishment of structures to embed technology into mathematics classrooms, including securing funding, teacher training, and maximizing digital tools for improved understanding.
El Docente Investigador y su Aporte en la Educación, una Propuesta Motivadora para la Planta Docente de la Unidad Educativa Juan León Mera La Salle de la Ciudad de Ambato – Ecuador
Authors: Jara Silva Mery Verónica , Barbosa Vega Jaime Daniel , López Sánchez Marco Rafael , Meléndez Ibarra Silvana Marilú
Published: June 2024

El propósito de este estudio es analizar el impacto e influencia del rol docente-investigador en el proceso de enseñanza de la unidad educativa Juan León Mella “La Salle” con el fin de motivar a los docentes a participar en actividades de investigación y formular recomendaciones. Difundir información sobre el rol docente-investigador. El estudio destaca la importancia crítica de que los docentes vayan más allá de la simple difusión de conocimientos y adopten un enfoque más dinámico y participativo. El estudio concluyó que el papel del docente-investigador tiene un impacto positivo significativo en la mejora del proceso de enseñanza y aprendizaje. Sin embargo, debido a barreras como la falta de tiempo y recursos y el desconocimiento sobre la investigación y su difusión, se necesitan soluciones innovadoras para integrar eficazmente la investigación en la práctica docente diaria.
Aspectos teóricos, metodológicos e curriculares no estabelecimento do campo nocional da Ciência da Religião
Authors: Lima Alan Freire de , Pereira Fernando de Almeida , Mardon Austin
Published: June 2024

Introdução: A religião é um fenômeno típica e universalmente humana estudada pelos mais variados campos do conhecimento humano. Objetivo: analisar aspectos históricos, antropológicos, epistemológicos, metodológicos assim como o projeto político-pedagógico da implantação do curso de graduação de Ciência da Religião, que foi produzido na esfera do Departamento de Ciência da Religião (DCRE) da Universidade Federal de Juiz de Fora (UFJF), com a intenção à implantação do curso de Ciência da Religião em uma universidade pública federal. Método: O método adotado foi a revisão de literatura com teóricos consagrados como Almeida, Funari (2016), Dilthey (2010), Eller (2018), Huff Júnior, Portella (2012), Novinsky (2015), Pieper (2018), Pye (2010), Stern (2020) dentre outros autores dentro de uma abordagem qualitativa. Resultados: Discutimos e debatemos sobre alguns pensamentos, métodos e epistemologia à pesquisa em Ciência da Religião. Conclusões: Chegou-se a conclusão de que a Ciência da Religião tem um caráter plurimetodológico, engloba teorias produzidas por várias áreas do saber e contribui para o estudo da religião como um fenômeno especificamente humano, universal e sob uma ótica própria, não apologética e pluralista.
Study of the Effect of Preparation and Formulation Factors on the Stability of Vitamin C Microencapsulated by Solvent-Evaporation Method
Authors: Ola Jalloul , Shaiar Fwaity , Lama Al haushey
Published: June 2024

This research studied the effect of formulation and processing variables on the stability of vitamin C or Ascorbic Acid (AA) encapsulated in Eudragit RS100 microparticles prepared using a solvent evaporation technique. Microparticles ranged in size from 60 to 102 μm and encapsulation efficiencies between 25% and 44% were obtained. Microencapsulation significantly enhanced the stability of AA compared to the free AA in solution. AA shelf life was extended up to 23 days. Increasing AA concentration and using sucrose or Tween 80 in the outer phase further enhanced AA stability. The results suggest that microencapsulation method under the investigated conditions is a promising approach for protecting AA from degradation in aqueous solutions.
Effect of Foam Mat Drying on Antioxidants in Secang Wood Extract (Caesalpinia Sappan L)
Authors: Djaen Mohamad , Dhivya Astrinia Shanintya , Agustina Sari Dessy
Published: June 2024

There is a notable increase in interest in utilizing herbal plants, with some herbal products being particularly rich in bioactive compounds, including antioxidants. Antioxidants play a pivotal role in the protection of the body against oxidative stress, through the neutralization of harmful free radicals. One plant extract that exhibits notable antioxidant activity is sappan wood extract (Caesalpinia sappan L). The objective of this study is to assess the impact of foam formulation and temperature on the drying process and antioxidant activity of sappan wood extract, which has been dried by the foam-mat drying method. The research was conducted in three stages, namely extraction, drying and analysis of results. Drying of sappan wood extract was carried out at 40, 60 and 80°C, with different compositions of foaming agent. The results demonstrated that antioxidant activity exhibited a tendency towards stability at a drying temperature of 40°C. However, the highest reduction in water content was observed with drying at 80°C. The most effective foam composition was identified as foam composition 2, 0% CMC + 20% egg white (albumin) + 10%. Conversely, the foam composition with the highest antioxidant activity was identified as foam composition 5, 0.5% CMC + 30% gum Arabic. The most appropriate antioxidant degradation equation for this study was the first-order equation. The most accurate drying rate model for this study was the Lewis drying rate model.
Embedding “Practicalism” as an Intrinsic Constituent of the Philosophy of Science: Positioning “Practicalism” as an Essential Pre-Requisite for Rapid Scientific Progress
Authors: Mandavilli Sujay Rao
Published: June 2024

We begin this paper by reviewing various standard terminologies around the English word “practical”, and its derivatives such as practicalism, and practicality. We also define the English term pragmatism, and review the chief and core tenets of the pragmatic school of thought in philosophy, and the philosophy of science, as proposed by William James, John Dewey, Immanuel Kant and others. We also examine, and evaluate the principles, dynamics, and contours of the aforesaid pragmatic school of thought and lay bare its weaknesses, the chief one being that it is not entirely free from nerdism, and does not dedicate itself entirely to the cause of society, so that these can become the springboard for the creation of a new school of thought known as ‘practicalism’. Additionally, we also review the essence of various strands of the philosophy of science in general so that several components of various schools of philosophical thought can be imbued by this new school of thought. The doctrines of positivism, logical positivism, neopositivism, postpositivism, and antipositivism are also explored to the extent they have a bearing on our paper, besides the tenets of the proposed twenty-first century school of intellectualism. We do hope that this new approach and technique will catapult science to an altogether different league. We also then proceed to show why this approach is in keeping with our general philosophy of ‘the globalization of science’.
Ethnobotanical Studies of Reputed Aphrodisiac Plants Used in Traditional Medicine in Haut-Katanga in DR of Congo
Authors: Otete François Dikala , Kihuya Eddy Ngoy , Mwinensenge James Maloba , Kitambala Marsi Mbayo , Kabeya Justin Kanda , Ebalantshim Daniel Munakongo , Ilunga Eddy Mbuyu , Mutombo Emery Kalonda , Jean-Baptiste Lumbu Simbi , Chiribagula Valentin Bashige , Muya Richard Kalunga , Ndjovu Jules Lohele
Published: June 2024

The goal of this study is to identify the plants used to treat sexual dysfunction in Haut-Katanga (DRC). Since most couples in sexual distress believe that resolving sexual dysfunction (SD) is the key to happiness, an ethnobotanical survey using a questionnaire guide was conducted among 36 traditional practitioners in four sites in Haut-Katanga province, including Lubumbashi, the provincial capital. The survey identified 52 species of aphrodisiac plants that are used to treat SD. Of these, 51 have been scientifically identified; they belong to 45 different genera and are contained in 28 families, with the Fabaceae having the highest representation (15.7%). These species are employed singly or in combination to prepare eighty recipes; the most common plant organ was the root bark (63%) in these recipes. Aqueous decoction (44%) and oral administration (75.3%) are the most commonly used routes of drug preparation and administration. Nearly 80 additional indications for the same plant species were discovered to be employed, such as sexually transmitted infections (7.17%), diabetes (3.69%), and hemorrhoids (4.07%). For every species, the Informant Consensus Factor (ICF) was determined. The plants with higher values (ICF≥0.17) included Bersama abyssinica Fres, Garcinia huillensis Welw, Cassia petersiana Bolle, Chenopodium album L, Clerodendrum capitatum (Willd) Schumach, Dialiopsis africana Radlk., Albizia adianthifolia (Schum.) W. Wight, and Crossopteryx febrifuga Mull.Arg.
AI Companion: Revolutionizing Sales and Services During Product Advisor and Consumer Interaction
Authors: Tzi Min Ong , Tong Ming Lim
Published: June 2024

In today's fast-paced consumer electronics industry, staying ahead of the competition and satisfying customers are top priorities. This research investigates the use of AI-powered tools, particularly conversational AI and chatbots, to improve customer interaction and boost sales in electronic retail. As digital platforms become more dominant over traditional sales channels, these AI tools offer significant benefits by delivering personalized, efficient, and timely customer service. The analysis examines various AI technologies, including Large Language Models (LLMs) and retrieval- augmented generation, which enhance consumer interaction. The study also explores the practical implications and challenges of implementing these technologies, with a focus on how they can streamline operations, improve customer experiences, and drive sales. Different models like DialoGPT, Flan-T5, and Mistral 7B are evaluated for their effectiveness in real- time consumer interactions, highlighting the importance of continuous adaptation and learning within AI systems to meet consumer demands and keep up with technological advancements.
Large Language Models in Consumer Electronic Retail Industry: An AI Product Advisor
Authors: Seng Xian Loo , Tong Ming Lim
Published: June 2024

This paper explores the development of an AI product advisor utilizing large language models (LLMs). Firstly, we discuss the needs and the current problems faced by industry. Subsequently, we reviewed past works by various scholars regarding AI Assistant in Retail and Other Industries, and LLM Models and techniques used in generative AI chatbot for sales and service activity related works. Next, we assessed the performance of various models including Llama2B, Falcon-7B, and Mistral-7B, in conjunction with advanced response generation techniques such as Retrieval Augmented Generation (RAG), fine-tuning through QLora and LLM chaining. Our experimental findings reveal that the combination of Mistral-7B with the RAG and LLM chaining technique enhances both efficiency and the quality of model responses. Among the models evaluated, Mistral-7B consistently delivered satisfactory outcomes. We deployed a prototype system using Streamlit, creating a chatbot-like interface that allows users to interact with the AI advisor. This prototype could potentially increase the productivity of frontliners in the retail space and provide benefits for the industry.
Design and Implementation of the Music Website Design using Figma
Authors: K. Shobha.
Published: June 2024

This Paper gives clear understanding of UI/UX Design using Figma. Creating a prototype for a website involves sketching out the design and functionality of the site in a tangible, interactive form. Prototypes help in visualizing the user interface, testing user interactions, and refining the design before actual development. We can conclude that This paper gives step-by-step guide on how you can create a prototype for a website.
IMD-MP: Imputation of Missing Data in IoT Based on Matrix Profile and Spatio-temporal Correlations
Authors: Lakshmi G.V.Vidya , Gopikrishnan S.
Published: June 2024

Data in the Internet of Things (IoT) domain may be missing due to connectivity errors, environmental extremes, sensor malfunctions, and human errors. Despite the many approaches for imputing missing values, the most significant difficulty in terms of imputation precision or compute complexity for larger missing sub-sequences in uni-variate series is still being explored. This work introduced IMD-MP (Imputation of Missing Data using Matrix Profile), a new technique that improves imputation accuracy for big data analysis in IoT applications based on spatial-temporal correlations using a novel distance metric Matrix Profile Distance (MPD). Our method preserves spatial correlation by grouping the sensors present in the network (using grouping algorithm-GA) to impute the missing data of the failed sensor node. After grouping, similar sensor nodes to the failed sensor node are identified using the Node Similarity Algorithm (NSF). From its similar sensor data, a certain number of sub-sequences that are most similar to the one preceding the failed node’s missing values are gathered. These sub-sequences heights are optimized to ensure temporal correlation in the imputed data. To find the optimal imputation sequence, the current research uses MPD and similarity scores. Numerical findings using sensor data from real-time environmental mon-itoring and Intel data sets demonstrate the algorithm’s effectiveness compared to other benchmarks.
Self Organizing Maps (SOM) and statistical methods for describing the physicological profile of undergraduates students of engineering
Authors: Weingärtner Junior Paulo Roberto , Antoniassi Natalia Piedemonte , Bindo Vitor Ferreira , Lenz e Silva Guilherme Frederico Bernardo
Published: June 2024

To meet a Brazilian guideline for engineering courses, which advocates the use of active learning in applied disciplines, this research studies new students entering in the Metallurgical Engineering Course in Escola Politécnica of Universidade de São Paulo (PMT/USP). It was applied to them a traditional MTBI (Myers–Briggs Type Indicator) questionary with the aim of finding out if there is recurrence of psychological profiles and to understand the characteristics of the freshmen to learning. This information was subjected to statistical analysis to observe the recurrence of the psychological characteristics of freshmen over the years (2017 to 2021). The data was also subjected to the Self Organizing Maps (SOM) machine learning technique, to delineate and group the psychological profiles observed in the students, enabling the analysis of the psychological characteristics and the comparison with the results obtained via statistics. After that, the results from the MBTI Traditional and the SOM clustering were submitted to comparison methods through multivariate statistics and Multiple Correspondence Analysis (MCA). It was found that there is recurrence of psychological characteristics between the years of collection, what were the psychological profiles of these freshmen as to how they learned. It was found that the freshmen surveyed mostly belong to Generation Z (or iGen) and characteristics pertinent to this group were observed. A scenario is obtained to point out the best active learning techniques for these students with the verification of recurrence of profiles and other correlated psychological characteristics, aiming to provide the most effective teaching in the engineering course.
The influence of Twitter hashtags in building supportive online communities for parents of children with special needs
Authors: Khasawneh Mohamad
Published: June 2024

The purpose of this research is to examine how Twitter hash tags have helped develop and maintain online groups in Saudi Arabia that provide resources and encouragement to parents of children with special needs. The research used a quantitative technique, collecting data systematically using an online survey. Participants were parents who were active members of Twitter networks devoted to helping those with disabilities. This research analyzed how often people used hashtags, the age of children with special needs, and gender affected how effective people thought Twitter hashtags were in bringing people together to help one another. According to the findings, more frequent hashtag use is correlated with a higher impression of influence. That's why it's so crucial to keep up your regular participation. Although age did not have a statistically significant effect on how influential people felt, there were clear differences between the sexes. Because of this, it's crucial to use communication methods that account for gender differences. This study contributes significantly to our understanding of the complex dynamics at play in online support groups, illuminating their inner workings and revealing insights that may be used to increase their openness and overall effectiveness. This research provides a basis for the creation and implementation of methods that will improve the efficiency with which these online communities satisfy the requirements of its members, therefore preserving their inclusive character.
Pedagogical renewal and intercultural education in Spain: The history of a mismatch?
Authors: Serra Carles , Carbonell Eliseu
Published: June 2024

In this article, we examine the relationship established between what the history of education in Spain has identified as "pedagogical renewal" and the proposals, experiences, reflections, meetings and training spaces framed in what at the time was identified as "intercultural education". This analysis stems from the apparent disappearance of everything generated around "intercultural education" throughout the 1990s from the historical account of pedagogical renewal. Faced with this apparent mismatch, the authors of the article argue that the main characteristics of the intercultural proposal (in terms of organisational forms, the global nature of its proposals and critical spirit questioning some of the basic pillars of the dominant educational system and model) would allow it to be identified with the movements, proposals and practices of pedagogical renewal. Additionally, the authors highlight the commitment and involvement of individuals, groups and journals aligned with the pedagogical renewal in the promotion and defence of intercultural education. Consequently, the authors finally propose some key insights that may help us understand why this presence and participation tends to be overlooked in the historiographical account of the renewal.
The power of metacognitive strategies to enhance critical thinking in online learning
Authors: Pereles Ana , Ortega-Ruipérez Beatriz , Lázaro Miguel
Published: June 2024

The aim of this study is to verify whether the use of a digital tool, designed to promote the use of metacognitive strategies in self-regulated learning, increases the level of critical thinking during the learning process in trainee teachers in official online master's degrees. The Critical Thinking Questionnaire (CPC 2) was used to assess different dimensions of critical thinking in a sample of 225 students from an online university's master's degree in educational technology. The results showed significant improvements in all dimensions (substantive and dialogic) and associated basic skills (reading, writing, and speaking) for those who used the tool for the promotion of metacognitive strategies. Therefore, it is suggested to work on specific strategies to develop critical thinking as a basis for improving their self-regulated learning.
A computational study of time-fractional gas dynamics models by means of conformable finite difference method
Authors: Yousif Majeed A. , Guirao Juan L. G. , Mohammed Pshtiwan Othman , Chorfi Nejmeddine , Baleanu Dumitru
Published: June 2024

This paper introduces a novel numerical scheme, the conformable finite difference method (CFDM), for solving time-fractional gas dynamics equations. The method was developed by integrating the finite difference method with conformable derivatives, offering a unique approach to tackle the challenges posed by time-fractional gas dynamics models. The study explores the significance of such equations in capturing physical phenomena like explosions, detonation, condensation in a moving flow, and combustion. The numerical stability of the proposed scheme is rigorously investigated, revealing its conditional stability under certain constraints. A comparative analysis is conducted by benchmarking the CFDM against existing methodologies, including the quadratic B-spline Galerkin and the trigonometric B-spline functions methods. The comparisons are performed using $ {L}_{2} $ and $ {L}_{\infty } $ norms to assess the accuracy and efficiency of the proposed method. To demonstrate the effectiveness of the CFDM, several illustrative examples are solved, and the results are presented graphically. Through these examples, the paper showcases the capability of the proposed methodology to accurately capture the behavior of time-fractional gas dynamics equations. The findings underscore the versatility and computational efficiency of the CFDM in addressing complex phenomena. In conclusion, the study affirms that the conformable finite difference method is well-suited for solving differential equations with time-fractional derivatives arising in the physical model.
Moran random walk with reset and short memory
Authors: Abdelkader Mohamed , Aguech Rafik
Published: June 2024

We investigated the statistical properties of the Moran random walk $ (Y_n)_n $ in one dimension, focusing on short memory. Specifically, employing generating function techniques, we determined the cumulative distribution function and the mean of the height $ H_n $. Furthermore, we derived explicit expressions for the distribution, mean, and variance of $ Y_n $, along with its asymptotic distribution. Finally, we provided the distribution of the waiting time $ \tau_h $, which represents the number of steps required to reach a specified level $ h $, as the conclusion of our study.