bluuebunny/crossref_metadata_2025 huggingface dataset:
Latihan Senam Dismenore Dalam Upaya Mengurangi Nyeri Haid Remaja Siswi Sma-2 Kahayan Tengah Kabupaten Pulang Pisau Kalimantan Tengah
Authors: Istiningsih Titik , Meyasa Lola , Mariyah Herni Isna
Published: May 2024

Permasalahan nyeri haid merupakan permasalahan yang sering terjadi pada seorang perempuan, beberapa remaja putri di Indonesia masih belum terlepas dari keluhan sindrom dismenore. Salahsatu dampak dismenore yaitu turunnya konsentrasi belajar dan produktivitas harian. Aktifitas yang dapat diupayakan yaitu dengan merubah gaya hidup agar lebih aktif melakukan olah fisik salah satunya latihan berolahraga.
Tujuan kegiatan pengabdian ini untuk menganalisis pengaruh senam Dismenore terhadap penurunan derajat nyeri dismenore pada remaja putri dan meringankan keluhan nyeri haid pada siswi SMA-2 Kahayan Tengah kabupaten Pulang Pisau Kalimantan Tengah. Metode pelaksanaan yang dilakukan pada pengabdian masyarakat ini ialah melakukan identifikasi masalah yang terjadi di SMA-2 Kahayan Kuala, melakukan studi pustaka, melakukan koordinasi, melakukan latihan senam dismenore di Aula SMA-2 Kahayan Kuala, mengukur derajat nyeri sebelum latihan senam dismenore, menganalisis pengaruh pemberian latihan senam dismenore terhadap penurunan derajat nyeri haid dan membuat laporan kegiatan pengabdian kepada masyarakat. Peserta berjumlah 50 siswi yang dilatih senam Dismenore pada bulan September 2023.  Hasil dari kegiatan pengabdian masyarakat yang dilakukan yaitu terdapat 34 siswi mengalami Dismenore ringan, 16 siswi  mengalami Dismenore sedang dan diberikan latihan senam Dismenore. Terjadi penurunan derajat nyeri haid sebesar 8% (4 orang) dari 50 siswi dengan rentang usia 16-18 tahun Harapan setelah kegiatan pengabmas ini remaja putri mengerti cara meringankan gejala dismenore dengan rutin melakukan senam dismenore. Kesimpulan dari pengabdian ini hendaknya latihan senam dismenore ini dilakukan secara rutin pada jam pelajaran olahraga oleh siswi SMA-2 Kahayan Tengah terutama yang mengalami nyeri haid sehingga dapat mengurangi gejala dan keluhan nyeri haid yang datang pada setiap siklus bulanannya.
 
Kata Kunci : Senam, Dismenore, Remaja
Penyuluhan Gizi Dalam Upaya Pencegahan Stunting Bagi Ibu Balita Di Puskesmas Syamtalira Bayu
Authors: Wahyuni Yenni Fitri , Fitriani Aida , Iswani Rayana , . Lisni , Mawarni Serlis , Savina Sirajus , Akla Nurul , Friscila Ika
Published: May 2024

Stunting merupakan salah satu masalah kesehatan terurtama di negara berkembang, dimana indonesia termasuk salah satu negara yang memiliki masalah kurangnya asupan gizi pada anak. Hal ini menyebabkan adanya gangguan dimasa yang akan datang dan mengalami kesulitan dalam mencapai perkembangan fisik dan kognitif yang optimal. Kegiatan pengabdian masyarakat ini dilakukan dengan tujuan untuk meningkatkan pengetahuan ibu mengenai stunting beserta upaya pencegahannya. Kegiatan pengabdian masyarakat ini dilaksanakan di UPTD Puskesmas Syamtalira Bayu pada bulan Juli – Agustus 2023 yang melibatkan pihak terkait bidan desa, kader, mahasiswa dan masyarakat yairu ibu yang mempunyai anak balita. Metode edukasi yang digunakan yaitu melalui penyuluhan, dengan bantuan leaflet. pemberian edukasi, diakhiri dengan tanya jawab dan diskusi. Kegiatan telah terlaksana dengan baik. Penyuluhan dilaksanakan dengan bantuan media leaflet, yang meliputi materi : Pola Makan dan Gizi Anak; Lingkungan dan Kondisi Hidup; Faktor-faktor Lain yang Berpotensi Mempengaruhi Stunting; Kesadaran tentang Stunting; dan Penilaian Stunting. Jumlah pengunjung/responden sebanyak 100 orang, dimana 90% menganggap informasi yang diberikan cukup informatif, dan 100% memberikan respon baik terhadap leaflet yang digunakan. Disarankan Kegiatan pengabdian kepada masyarakat untuk mencegah terjadinya Stunting di puskemas Syamtalira Bayu Aceh utara dapat diterapkan  diterapkan dan dilanjutkan ditempat lain yang berbeda, dengan sasaran yang lebih luas. Berdasarkan masukan responden, pada kegiatan hendaknya menyediakan konsumsi bagi responden, suvenir, waktu bisa dipersingkat, bisa ditambahkan video edukasi.
 
Kata kunci : Penyuluhan; Pencegahan Stunting; Balita.
West Virginia agricultural educators’ usage of Internet-based instructional technology
Authors: Hendrix Rachel , Veach Travis , Perdue Emily
Published: May 2024

Technology is vital to American education. Each year schools spend millions of dollars on various technologies intended for use in classrooms, but research shows over a third of this equipment goes unused. This study explores how West Virginia agricultural educators make decisions about adopting and integrating internet-based technology into their classrooms. Results showed educators were most likely to use learning management systems and search engines, and least likely to use websites, apps, games, and the online curriculum platform iCEV. Educators integrated technology into their classrooms primarily by using it to provide and review lesson content with classes. Less common uses included introducing, activating, and assessing learning.
Hypervalent iodine mediated cyclization of bishomoallylamides to prolinols
Authors: Butt Smaher E , Kepski Konrad , Sotiropoulos Jean-Marc , Moran Wesley J
Published: May 2024

A change in mechanism was observed in the hypervalent iodine mediated cyclization of N-alkenylamides when the carbon chain between the alkene and the amide increased from two to three atoms. In the latter case, cyclization at the amide nitrogen to form the pyrrolidine ring was favored over cyclization at the amide oxygen. A DFT study was undertaken to rationalize the change in mechanism of this cyclization process. In addition, reaction conditions were developed, and the scope of this cyclization studied.
Design And Construction Of A Web-Based Information System For Ordering Printing Services On Cv Multigraph
Authors: Hermawan Yanto , Nugroho Mochammad Rizky Son Adi
Published: May 2024

Designing a Web-Based Printing Service Ordering Information System for CV Multigraph is a project aimed at developing an efficient and practical information system for online printing service orders. CV Multigraph is a printing company that offers a variety of printing services to its customers. In this research, the author designed and implemented an information system that enables customers to easily place orders through the web platform. Utilizing modern web technology, the system harnesses the power of the internet to expedite and streamline the ordering process. The system allows customers to choose their desired printing services, upload design files, select print quantities and sizes, and provide specific instructions. Upon completion of the order, customers receive real-time order status updates and confirmations. Additionally, the system facilitates CV Multigraph in managing incoming orders. Printing staff can view the list of ongoing orders, schedule production, and send confirmation messages to customers, enhancing service effectiveness and responsiveness to customer needs. The methodology used is Extreme Programming, which encompasses analysis, planning, design, coding, and testing. The system development utilizes web technologies such as HTML, CSS, JavaScript, and PHP. The result is an efficient, practical, and user-friendly printing service ordering information system for CV Multigraph customers. The system is expected to enhance customer experience, expedite the ordering process, and improve operational efficiency and customer satisfaction for CV Multigraph.
 
Keywords: information system, ordering, printing service, CV Multigraph, web- based.
Magazin Haberciliğinde Temel Sorunlar: Derinlemesine Mülakat Çalışması
Authors: Şahin Zeynep Burcu
Published: May 2024

Magazin haberciliği, sanayileşme sonrası oluşan kitle toplumunun ve kitle kültürün bir ürünü olarak 19. yy.ın başlarına dayanmaktadır. Bununla birlikte, tarihi boyunca gerek kitlelerin talep ve beklentileri doğrultusunda gerekse kitlelere uygulanan kontrol ve denetim mekanizmalarının bir unsuru olarak sosyal, siyasi ve ekonomik dönüşümlere duyarlı bir seyir izlemiştir. Bu noktada magazin haberciliğini etkileyen unsurlar arasında siyasi tercihler, toplumların sosyo-kültürel hayatlarında yaşanan değişiklikler, ekonomik unsurlar ve teknolojik gelişmeler sayılabilir. Söz konusu unsurlar, magazin hayatını değiştirebildikleri gibi magazin hayatının haberleştirilmesindeki pratikleri de değiştirebilmektedir. Araştırma, yer yer ikisinin benzerliklerinin altını çizmeye çalışsa da magazin hayatının haberleştirilme pratiklerindeki değişim ve sorunları ele almaktadır. Bu doğrultuda, araştırmanın konusunu günümüz magazin haberciliğinde yaşanan değişim/ dönüşümler ve habercilik pratiğinde ortaya çıkan sorunlar oluşturmaktadır. Araştırmanın amacı, magazin haberciliği özelinde Türkiye’de gazetecilik faaliyeti gerçekleştirenlerin yaşadıkları sorunlara odaklanmaktır. Yorumlamacı anlayış çerçevesinde ele alınan çalışmada derinlemesine mülakat yöntemi esas alınmıştır. Magazin haberciliğinde yaşanan sorunlar genel olarak habercilikte yaşanan sorunlardan bağımsız bir görüntü sergilememektedir. Bununla birlikte, sorunların birbirleriyle karşılıklı neden sonuç ilişkileri içerisinde olduğu ve grifit bir yapı sergiledikleri anlaşılmaktadır.
Two new silken fungus beetle species (Coleoptera, Cucujiformia, Cryptophagidae) from Rovno amber
Authors: Lyubarsky Georgy Yu. , Legalov Andrei A. , Vasilenko Dmitry V. , Perkovsky Evgeny E.
Published: May 2024

Two new extinct species of the genus Atomaria Stephens, 1829 are described and illustrated: A. (Anchicera) bukejsi sp. nov. and A. (Anchicera) archibaldi sp. nov., both from late Eocene Rovno amber. Atomaria (Anchicera) bukejsi sp. nov. appears close to A. (Anchicera) gedanicola Lyubarsky et Perkovsky, 2013, but differs in the structure of the pronotum and antennae. Atomaria (Anchicera) archibaldi sp. nov. is similar to A. telnovi Lyubarsky et Perkovsky, 2023, but differs in the structure of the pronotum and antennae.
Gastronomi Eğitimi ile İlgili Yapılan Araştırmalar Üzerine Bir İnceleme
Authors: Sökmen Alev , Karamustafa Ahmet Tuğrul
Published: May 2024

Amaç: Her alanda olduğu gibi gastronomi alanında da sürdürülebilir nitelikli rekabet üstünlüğü elde etmenin temelinde nitelikli insan kaynağı ile nitelikli yönetsel unsurların varlığı önem kazanmaktadır. Bu husus gastronomi ile ilgili yürütülen eğitim faaliyetlerinin önemine işaret etmektedir. Bu çalışmanın amacı gastronomi eğitimi konusunda yapılan araştırmalardan elde edilen veriler doğrultusunda genel bir değerlendirme yapmaktır.
Yöntem: Araştırma derleme yöntemi ile sistematik desende yürütülerrek Scopus ve WoS veri tabanları ile sınırlı tutulmuştur. Arama filtresi olarak “Gastronomy”, “Education” ve “Gastronomy education” anahtar kelimeleri kullanılmıştır.
Bulgular: Asıl verileri elde edebilmek için gerekli filtreleme işlemlerinden sonra konuyla ilgili 17 çalışma elde edilmiş ve bunların son 10 yılda yoğunlaştığı gözlemlenmiştir. Tarama verilerine göre; “gastronomi eğitimi” konusunda yapılan çalışma sayısının az olduğu belirlenmiş olup bu çalışmaların çoğunda nicel araştırma tekniklerinden yararlanıldığı, nitel yöntemlerin daha az tercih edildiği sonucuna varılmıştır. Bu 17 makaleden 2 tanesi doğrudan örgün eğitim kapsamında çalışmalar olmayıp “gastronomi ve “eğitim” anahtar kelimeleri nedeniyle sonuçlara yansımıştır. Ancak eğitimde yararlanılabilecek fikirlere uygun içerik sunduklarından bu kapsamda değerlendirilmiştir. Genel değerlendirme sonucu ise; araştırmaların ortak bulguları, farklılıkları ve örnek alınabilecek fikirleri GSM müfredatlarında yapılabilecek düzenlemeler kapsamında sunulmuştur.
Evaluation of Knowledge, Attitudes and Behaviors of Physicians Working in a University Hospital About Smoking Cessation Treatment
Authors: Ünal Safa , Kaya Abdulkadir
Published: May 2024

Aim: Tobacco use is a preventable cause of morbidity and mortality and a global public health problem. It is clear that physicians need to increase their awareness, increase their level of knowledge, and change their negative attitudes and behaviours about smoking, which is a risk factor for many preventable diseases in the world. This study was planned to evaluate the knowledge, attitudes and behaviours of physicians working in a university hospital regarding smoking cessation treatments.
Material and Method: This study was a descriptive and cross-sectional study. The study included 203 physicians. A printed questionnaire form was used to collect data. Nicotine dependence of the participants who smoked cigarettes was evaluated by Fagerström nicotine dependence test (FNBT). Data were analyzed using SPSS 23.0 statistical package form. A value of p
Stress Sense: Enhanced Stress Detection and Management Via Image Processing
Authors: J. Gowtham. , T Hariprasanth. , V Janaki. , S Kaviya. , P Sindhuri.
Published: May 2024

This project presents an innovative approach to stress detection by utilizing Convolutional Neural Networks (CNNs) to analyze emotional cues extracted from facial images. The proposed system employs CNNs, a class of deep learning models known for their efficacy in image recognition tasks, to automatically extract features from facial images. Through a combination of convolutional, pooling, and fully connected layers, the CNN learns hierarchical representations of facial expressions associated with various emotions, including those indicative of stress. The model is trained on a diverse dataset encompassing a wide range of facial expressions, allowing it to generalize well to unseen data. Transfer learning techniques may also be employed to leverage pre-trained CNN models, further enhancing performance with limited data.
Application of Data Mining Techniques in Biopsy Interpretation and Staging of Carcinoma Cancer Disease: A Case Study of Northeastern Nigeria
Authors: Hassan Ibrahim , Haruna Dokoro Ahmed , Garba E. J. , Ahmadu A. S.
Published: May 2024

This paper introduces an innovative framework tailored for carcinoma cancer staging in northeastern Nigeria, employing data mining techniques and machine learning algorithms, with analysis conducted using the WEKA toolkit. Given the challenges in healthcare systems, especially in cancer diagnosis and treatment, this study aims to enhance diagnostic precision thorough analysis of biopsy reports. By assessing Support Vector Machine (SVM) and decision tree algorithms using datasets from six tertiary health institutions, the framework demonstrates promising outcomes in accurately determining cancer malignancy stage. SVM exhibits high accuracies in staging breast and prostate cancer, while decision tree algorithms show notable accuracy rates in staging skin cancer. These results highlight the potential of machine learning in advancing cancer diagnosis and treatment planning, particularly in resource-constrained settings, and pave the way for the development of computer-aided diagnostic tools tailored for carcinoma cancer staging in northeastern Nigeria.
Resolved Near-infrared Stellar Photometry from the Magellan Telescope for 13 Nearby Galaxies: J-region Asymptotic Giant Branch Method Distances
Authors: Lee Abigail J. , Monson Andrew J. , Freedman Wendy L. , Madore Barry F. , Owens Kayla A. , Beaton Rachael L. , Espinoza Coral , Ren Tongtian , Ren Yi
Published: May 2024

We present near-infrared JHK photometry for the resolved stellar populations in 13 nearby galaxies: NGC 6822, IC 1613, NGC 3109, Sextans B, Sextans A, NGC 300, NGC 55, NGC 7793, NGC 247, NGC 5253, Cen A, NGC 1313, and M83, acquired from the 6.5 m Baade–Magellan telescope. We measure distances to each galaxy using the J-region asymptotic giant branch (JAGB) method, a new standard candle that leverages the constant luminosities of color-selected, carbon-rich AGB stars. While only single-epoch, random-phase photometry is necessary to derive JAGB distances, our photometry is time-averaged over multiple epochs, thereby decreasing the contribution of the JAGB stars’ intrinsic variability to the measured dispersions in their observed luminosity functions. To cross-validate these distances, we also measure near-infrared tip of the red giant branch (TRGB) distances to these galaxies. The residuals obtained from subtracting the distance moduli from the two methods yield an rms scatter of σ
JAGB−TRGB = ±0.07 mag. Therefore, all systematics in the JAGB method and TRGB method (e.g., crowding, differential reddening, star formation histories) must be contained within these ±0.07 mag bounds for this sample of galaxies because the JAGB and TRGB distance indicators are drawn from entirely distinct stellar populations and are thus affected by these systematics independently. Finally, the composite JAGB star luminosity function formed from this diverse sample of galaxies is well described by a Gaussian function with a modal value of M

J
= –6.20 ± 0.003 mag (stat), indicating that the underlying JAGB star luminosity function of a well-sampled full star formation history is highly symmetric and Gaussian based on over 6700 JAGB stars in the composite sample.
Photometric Objects Around Cosmic Webs (PAC). VI. High Satellite Fraction of Quasars
Authors: Gui Shanquan , Xu Kun , Jing Y. P. , Zhao Donghai , Gao Hongyu
Published: May 2024

The Photometric objects Around Cosmic webs (PAC) approach developed in Xu et al. has the advantage of making full use of spectroscopic and deeper photometric surveys. With the merits of PAC, the excess surface density

n

¯

2

w

p

of neighboring galaxies can be measured down to stellar mass 1010.80
M
⊙ around quasars at redshift 0.8 < z
s < 1.0, with the data from the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey and the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys. We find that

n

¯

2

w

p

generally increases quite steeply with the decrease of the separation. Using the subhalo abundance-matching method, we can accurately model the

n

¯

2

w

p

both on small and large scales. We show that the steep increase of 

n

¯

2

w

p

toward the quasars requires that a large fraction

f

sate

=

0.29

−
0.06

+
0.05

of quasars should be satellites in massive halos, and we find that this fraction measurement is insensitive to the assumptions of our modeling. This high satellite fraction indicates that the subhalos have nearly the same probability of hosting quasars as the halos for the same (infall) halo mass and that the large-scale environment has negligible effect on the quasar activity. We show that even with this high satellite fraction, each massive halo on average does not host more than one satellite quasar, due to the sparsity of quasars.
Constrained Wave-telescope Technique
Authors: Broeren T. , Klein K. G.
Published: May 2024

We revisit the mathematics behind the application of the physically informed constraint matrix used in the wave-telescope technique. The constraint matrix, used to enforce the divergence-free nature of the magnetic field when processing in situ multi-spacecraft data, is found in a few different forms in the literature. We give brief analytical and computational evidence to support a particular combination of constraint matrix and spectral energy density equation for the wave-telescope technique.
Effect of Chitosan Nanoparticle as an Antioxidant Material on Shear Bond Strength of Composite Resin to Enamel after External Bleaching
Authors: Ratih Diatri Nari , Erlagista Shintatika , Nugraheni Tunjung
Published: May 2024

BACKGROUND: If composite resin restoration is required following external bleaching treatment, a waiting period of between 1 and 3 weeks is needed to avoid restoration failure. However, patients usually need faster treatment.
AIM: This study aimed to investigate the effect of chitosan nanoparticles as an antioxidant material on the shear bond strength (SBS) of composite resin restorations to enamel after external bleaching.
METHODS: Thirty premolars were used in this study and randomly assigned into four groups of six samples, Group 1, no bleaching – no antioxidant, Group 2, bleaching – composite restoration, Group 3, bleaching – waiting 2 weeks – composite restoration, Group 4, bleaching – sodium ascorbate – composite restoration, Group 5, bleaching – chitosan nanoparticles – composite restoration. The SBS was tested with a universal testing machine. One-way analysis of variance and the Turkey’s test were used for statistical data analysis (p < 0.05).
RESULTS: The group that applied chitosan nanoparticles to the teeth previously bleached and then restored with composite resin resulted in similar SBS as the other groups (p > 0.05), except for the group that was bleached and directly restored with composite resin (p = 0.000).
CONCLUSION: The chitosan nanoparticle has the potential as an antioxidant material since it produces similar SBS to composite resin restorations on enamel after external bleaching than the other groups.
А 53-year-old female with stress-induced cardiomyopathy: А clinical case
Authors: Dragnev N. , Valkov V. , Kalvachev N.
Published: May 2024

We are presenting a clinical case of a 53-year-old woman with a sudden decline of the general condition during a stressful moment, respiratory arrest requiring intubation and intensive care unit transfer. Due to the clinical evidence of acute left-sided heart failure, ECG and echocardiographic evidence of acute coronary syndrome, invasive coronary angiography with left ventriculography was performed, demonstrating a non-occlusive coronary artery disease with signiﬁ cant LAD stenosis and left ventricular kinetics indicative of a stress-induced cardiomyopathy. In the course of the treatment, the patient regained consciousness with favourable dynamics in the ECG, echocardiographic and laboratory ﬁ ndings. A follow-up coronary angiography and intervention of the signiﬁ cant LAD stenosis at a later stage were discussed with the patient.
Anthracycline-induced cardiotoxicity – primary preventive options. An overview
Authors: Slavcheva S.
Published: May 2024

Anthracycline-induced cardiotoxicity (AIC) has been known since the 1970s but remains relevant, mainly due to the widespread use of anthracyclines in oncological practice. Currently, AIC is viewed as a prolonged and continuous process that starts with the initial dose at molecular and cellular levels and advances, ultimately resulting in cardiomyopathy and heart failure. Many contemporary studies aim to discover methods for early detection of anthracycline-related myocardial injury. Additionally, ongoing research focuses on agents for primary prevention of AIC, examining their effectiveness, place, and timing of administration. This review aims to present the available preventive options, interconnecting them with their mechanisms of action and the mechanisms of AIC. According to current recommendations, primary prevention is indicated for high- and very high-risk patients and includes general measures to lower cardiovascular risk, neurohormonal therapy, and statins. Regular cardiology assessments are a crucial component of heart damage prevention. Evidence of mild myocardial injury (deteriorated Global Longitudinal Strain and troponin release) justiﬁ es cardioprotective measures. Some aspects remain unanswered, including whether early cardioprotection is required, as well as the role and efﬁ cacy of sacubitril/valsartan and sodium-glucose cotransporter 2 inhibitors (SGLT2 inhibitors) for AIC prevention. Physical activity is a promising method to reduce the cardiac damaging effects of anthracyclines. 
Reliable analysis for obtaining exact soliton solutions of (2+1)-dimensional Chaffee-Infante equation
Authors: Iqbal Naveed , Riaz Muhammad Bilal , Alesemi Meshari , Hassan Taher S. , Mahnashi Ali M. , Shafee Ahmad
Published: May 2024

The (2+1)-dimensional Chaffee-Infante equation (CIE) is a significant model of the ion-acoustic waves in plasma. The primary objective of this paper was to establish and examine closed-form soliton solutions to the CIE using the modified extended direct algebraic method (m-EDAM), a mathematical technique. By using a variable transformation to convert CIE into a nonlinear ordinary differential equation (NODE), which was then reduced to a system of nonlinear algebraic equations with the assumption of a closed-form solution, the strategic m-EDAM was implemented. When the resulting problem was solved using the Maple tool, many soliton solutions in the shapes of rational, exponential, trigonometric, and hyperbolic functions were produced. By using illustrated 3D and density plots to evaluate several soliton solutions for the provided definite values of the parameters, it was possible to determine if the soliton solutions produced for CIE are cuspon or kink solitons. Additionally, it has been shown that the m-EDAM is a robust, useful, and user-friendly instrument that provides extra generic wave solutions for nonlinear models in mathematical physics and engineering.
Investigating the Effect of an Interactive Educational Chatbot on Reading Comprehension Skills
Authors: Behforouz Behnam , Al Ghaithi Ali
Published: May 2024

This study aimed to investigate the implementation of an interactive chatbot as a facilitator to assess its effects on reading skills. To this end, 60 Omani intermediate English as a Foreign Language (EFL) learners from a higher education institute were selected as the population and divided into two experimental and control groups with an equal number of learners. Several research-based reading tests have been developed, validated, and piloted to ensure reliability, as measured by Cronbach’s alpha. The test results for the pre-, post-, and delayed post-tests were 0.889, 0.767, and 0.850, which ensured reliability. Although both groups received instructions and practiced reading skills based on the department’s curriculum and delivery plan, an interactive WhatsApp bot was designed to provide additional instructions and exercises for the experimental group for three weeks. A Kolmogorov-Smirnov test was conducted to assess data normality and determine whether parametric- or nonparametric-tests should be used. The results indicated non-normality in all data sets (p < .05) except for the pre-test data of the experimental group (p > .05); Consequently, the Wilcoxon test was employed to analyze results within the groups, while the Mann-Whitney U test was utilized to compare the groups. The interpretation of the test within the control group revealed that learners performed significantly differently in the post- and delayed post-tests (Z = -4.80, -2.95 < .05). Similarly, the results of learners in the experimental group showed that they performed significantly better in the post- and delayed post-tests than in the pre-test (Z = -4.79, -4.80 < .05). Finally, the comparison of both groups based on the Mann-Whitney U test revealed that the experimental group outperformed the control group in the post-test and delayed post-test (U = .00, p < .05). Therefore, it could be concluded that chatbots could be beneficial within the learning process, particularly for improving reading skills. These results are promising for teachers and students who utilize technological devices in their learning and teaching practices.
Digital Learning Demand and Applicability of Quality 4.0 for Future Education: A Systematic Review
Authors: Imran Muhammad , Almusharraf Norah
Published: May 2024

This study investigates the demand for digital learning and the application of Quality 4.0 for future education in higher education institutes (HEIs). Quality 4.0 leads to digital transformation for innovation, excellence, and performance. Over the past decade, the educational landscape has undergone a revolution due to digitalization and enhancing academic development. The present study, through a systematic review of the literature published from 2017 to 2023, aims to highlight how digital advancements have played a critical role in improving the people and operations of higher education institutes to meet the growing challenges in the education sector. The implementation of Quality 4.0 and the application of its practices in HEIs can drive innovation through technological advancements in the Internet of Things (IOT), blended learning, and artificial intelligence (AI) to meet the increasing demand for digital learning. The findings suggest that digital learning through various technologies brings about significant changes in employment, skill development, and the educational environment. However, these advancements do not come without challenges, including the imperative of faculty development, the establishment of robust technological infrastructure, ethical considerations in AI implementation, and quality management. More research is needed to address the gap in understanding the applicability of Quality 4.0 and the demand for digital learning in higher education institutes.
Méthodes d’actions multimodales, développement professionnel et santé au travail
Authors: Simonet Pascal , Munoz Grégory , Vidal-Gomel Christine
Published: May 2024

Cet article présente une intervention-recherche en clinique de l’activité enrichie d’un cadre méthodologique interdisciplinaire avec une visée de prévention des troubles musculosquelettiques dans le métier de fossoyeur. Les vidéos d’observations de l’activité réelle puis d’entretiens par auto-confrontations simples et croisées enregistrent des dialogues de professionnels qui entremêlent énoncés langagiers et énoncés gestuels pour débattre de leurs différentes manières d’effectuer leurs gestes de métier. En revenant sur l’enchaînement des différentes méthodes d’actions multimodales (observations papier-crayon et vidéo, observations vidéo synchrone avec enregistrement par EMG de surface des sollicitations biomécaniques des épaules et du dos, représentations graphiques des sollicitations musculo-squelettiques, entretiens d’auto-confrontations simples et croisées) et leurs combinaisons interdisciplinaires (clinique de l’activité, ergonomie et biomécanique), cet article pointe la double ligne langagière et corporelle du développement professionnel, par une analyse des énoncés langagiers et gestuels qui caractérisent les dialogues produits en auto-confrontations.
Épistémologies pratiques et partage des responsabilités entre guide et enseignant : de l’importance des contenus tacites de la visite scolaire
Authors: Sénécail Alain
Published: May 2024

Inscrit en théorie de l’action conjointe en didactique, cet article contribue à l’analyse des visites scolaires au musée de sciences. Plus particulièrement, il s’agit de reconstruire la place et le rôle que s’accordent enseignants et guides relativement aux visées épistémiques de ces visites. Pour mener à bien ce projet, cette recherche propose l’étude de cas d’une visite scolaire de la fin de l’école primaire jugée réussie. L’analyse croisée de la dynamique des jeux d’apprentissages et de l’épistémologie pratique amène alors à mieux saisir les mécanismes qui concourent à une diminution de la densité épistémique et l’adoption, par l’enseignante d’une posture de Personnage Non-Joueur. Ces résultats amorcent ainsi le dialogue sur une prise en compte possible des affects et de l’expérience-évènement pour l’analyse des visites scolaires.
Epistemics and Education
Authors: Kelly Gregory J.
Published: May 2024

By engaging in the epistemic practices of a disciplinary area, students are able to build their capacity for learning and expand their repertoire for reasoning. These epistemic practices are intrinsic to knowledge-producing communities and need to be examined from a sociocultural perspective. In this paper, I describe epistemic practices and the related topics of epistemic and ontological cognition and epistemic tools. I consider the epistemological commitments of the communities constructing knowledge and the spheres of application for epistemics in education. These epistemic domains of education are each illustrated with examples from curriculum design. The value and limitations of the perspective are discussed. In a post-script, I answer common questions about the uses of epistemic practices in education.
De Aïni à Marie-Corail : l’image de la femme rebelle dans deux récits autobiographiques de Fadhma et Taos Amrouche
Authors: Medjedoub Kamal
Published: May 2024

Autant chez Fadhma Aïth Mansour Amrouche que chez sa fille, Taos, les romans amrouchiens mettent en scène une foule de personnages féminins à travers lesquels se décrit la condition de la femme. Aux prises avec les codes d’une société patriarcale, certaines femmes s’y soumettent, d’autres se rebiffent. Leurs conditions se racontent en filigrane des récits principaux.Cet article s’intéresse à Fadhma Amrouche en tant qu’auteure de Histoire de ma vie. Dans un espace rural, une société d’hommes et au milieu des femmes soumises à la hiérarchie sociale, il s’en dégage l’image d’une femme rebelle en quête d’émancipation, en tentant de s’affranchir de la « domination masculine ». Dans ces deux discours autobiographiques, cet article propose d’analyser l’image de la femme en associant une approche thématique et une approche comparative. L’objectif est de détecter les marques de présence de ce processus d’émancipation qui part du roman de la mère vers celui de sa fille. Nous verrons, dans une approche narratologique, comment la description participe à construire l’image de la femme rebelle.
Understanding Evolution, Development, and Transitioning of Digital Financial Inclusion
Authors: Baheti Santosh Satyanarayan , Verma Dippi , Amarnath Debora Dhanya
Published: May 2024

Different countries across the globe are trying hard to address the challenges of poverty alleviation. Various studies conducted in the past have highlighted the essence of financial inclusion in poverty alleviation. Adoption of financial inclusion acts as a major trigger for developing countries to foster economic growth as it helps in fostering saving, investment, and helps society in attaining financial independence. Economies across the globe are striving hard to accomplish sustainable development goals. The speedy compliance with SDG goals can only be realized through the adoption of ICT. Some of the SDG goals like reduced inequalities (SDG10), quality education (SDG 4), and industry innovation and infrastructure (SDG 9) cannot be attained without the adoption of technology. Effective blend of technology helps countries in achieving targets like digital financial inclusion, digital education, advanced healthcare services, green energy, and addressing other climate related issues. Financial inclusion consists of providing sufficient access to a diverse range of financial products and services. In an era of information technology, digital transformation has brought a major shift in demand and supply side of financial inclusion. In order to understand the progress of the past 23 years in digital financial inclusion, the study has conducted a systematic review and bibliometric analysis of digital financial inclusion domain. The study intends to explore the present status of digital financial inclusion, most prominent studies published in this domain, influential countries, influential authors, and collaborative tendencies between authors. Through Biblioshiny R and Vos-viewer software, the study intends to conduct temporal analysis of influential authors and countries as it helps to understand the emergence of new researchers, institutions, and countries over a time. The study also intends to explore thematic analysis of digital financial inclusion domain, influential theories derived from literature, and assessment of influential studies published for the past 23 years. In the final phase, the study intends to propose various antecedents of digital financial inclusion that have been identified through in-depth scrutiny of literature.
Central Bank Digital Currency
Authors: Ozili Peterson K.
Published: May 2024

This chapter presents a discussion on what a central bank digital currency (CBDC) can achieve in African countries and what a central bank digital currency may not achieve in African countries. The study shows that a central bank digital currency can achieve the following: CBDC can become a monetary policy tool; it can reduce the size of the informal economy; it can increase financial inclusion; it can increase digital financial literacy; it can reduce the circulation of counterfeit paper money; it can deepen existing payments system; it can improve social programmes and targeted welfare; it will increase transaction monitoring and surveillance; it can address tax evasion and increase tax revenue in African countries. The study also shows that a central bank digital currency may not completely replace cash in African countries; the issuance and use of CBDC won't make African countries earn a ‘developed country' status; CBDC adoption may not stop institutional corruption; CBDC adoption will not stop illicit activities in African countries; and CBDC adoption may not reduce the level of poverty in African countries.
Frauds and Cyber Security Issues in the Finance Sector
Authors: Tripathi Rajeev , Tripathi Smita
Published: May 2024

In today's digital age, the importance of cybersecurity cannot be overstated, as it directly affects an individual's or organization's ability to protect themselves from various types of fraud. Organizations and individuals must stay vigilant, continuously update their security practices, and invest in cybersecurity technologies to minimize the risk of falling victim to fraudsters. Cybersecurity is the proactive defense against digital threats, while fraud prevention involves safeguarding against deceptive and dishonest activities. To effectively combat fraud, individuals and organizations must implement robust cybersecurity measures, stay informed about emerging threats, and educate themselves and their employees about the tactics used by fraudsters. Fraud and cyber security are two closely related topics that revolve around protecting sensitive information, assets, and systems from unauthorized access, manipulation, or theft.
E-Payments in Microfinance
Authors: Joshi Kavita , Dwivedi Ritesh
Published: May 2024

The integration of e-payment systems in digital microfinance marks a pivotal intersection between financial inclusion and fintech innovation. This chapter traces the evolutionary trajectory of e-payment methods, from their origins to contemporary tools like mobile wallets. It underscores the profound benefits of these platforms, emphasizing unparalleled accessibility, efficiency, and benefits for underserved regions. However, merging technology with finance presents challenges, including limited adoption, technological barriers, and regulatory complexities. The chapter highlights the RBI's regulatory role, showcasing how e-payment platforms are reshaping the microfinance sector through real-world examples. Ultimately, it advocates for these platforms as essential drivers for achieving comprehensive financial inclusion.
Unveiling the Factors Influencing Dengue Fever Spread and Forecasting Future Epidemiology Through Path Analysis
Authors: Anggraeni Wiwik , Mahmudha Nisrina Nur , Pujiadi Pujiadi , Purnomo Mauridhi Heri
Published: May 2024

Dengue fever is a serious infectious disease that can be fatal if not diagnosed and treated promptly. Several factors are believed to contribute to the spread of this disease. Many studies have examined these factors and their influence on dengue fever. However, the geographical conditions of each area can vary greatly, and findings may not be applicable across different regions. There is still debate over whether climatic factors can explain the occurrence of dengue fever. This study aims to analyze the impact of various factors on dengue fever incidence in multiple regions using path analysis. The study examines both exogenous and endogenous variables, including dengue fever incidence, population density, larvae-free index, temperature, humidity, rainfall, and wind speed. The results of the path analysis are used to forecast future dengue fever cases. The forecast results can assist health agencies in developing effective policies and strategies to control dengue fever outbreaks.
AI in Healthcare
Authors: Kaur Upinder , Kumar Harsh , Kaur Ranbir
Published: May 2024

The emerging technologies are revolutionizing predictive analytics in HealthCare domain. The research in this sector has made great strides in managing disease management, which has eventually resulted in the saving of lives. The report significantly provides the progress of sophisticated learning methods capable of deciphering complex data relationships, thereby transforming broad datasets into actionable insights for disease diagnosis and prognosis. This goal is to assess the scope of ML and DL in healthcare predictions, focusing on the urgent need for reliable, accurate, and timely predictions while addressing ethical challenges. The authors provide a summary of the approaches worked under predictive analytics in healthcare, emphasizing its lifesaving potential through better decision-making through identifying barriers, suggestions, and future pathways.
Beyond Supervision
Authors: Hajamydeen Asif Iqbal , Yassin Warusia
Published: May 2024

This chapter investigates the domain of unsupervised learning algorithms, delivering a detailed outline of its classifications and essential characteristics. Each algorithm is examined, assessing its appropriateness for different types of data. A systematic assessment is conducted with each algorithm and is checked using datasets that complement its strengths. The evaluation presents insights on how well these algorithms perform in comparison with contextually relevant datasets. It also provides the foundation for a systematic investigation into the details of unsupervised learning by matching each algorithm with an appropriate class of data. The knowledge gap between theory and practice was explored by clustering algorithms with prominent tools like Weka and goes beyond the clustering concept by establishing essential principles for unsupervised learning. Through the explanation of clustering algorithms with real world datasets, practical approaches were provided to employ unsupervised learning in real-world data.
Innovative Advancements in Big Data Analytics
Authors: Vashishth Tarun Kumar , Sharma Vikas , Pandey Asheesh , Tomer Tanuja
Published: May 2024

This research looks at the changing face of big data analytics with a special focus on Hadoop incorporation by examining new developments and potential future directions. Over the years, the field of data analytics has gone through tremendous expansion due to the large amount of complex data generated from various sectors. In this light, Hadoop is identified as a highly adaptive and distributed computing system that serves as a powerful resource to extract valuable information from big datasets. This chapter analyzes advanced artificial intelligence techniques, real-time data analysis methodologies, emerging research directions, and ethics of big data. It highlights their implementation within the Hadoop platform. In an attempt to explore the mutual influence that exists between studies using Hadoop and evolving paradigms of analytics, it can be concluded that this study endeavors to provide an exhaustive navigation manual to scholars, practitioners, and industry observers who are interested in exploring the frontiers of big data analytics through Hadoop and its analytic evolution.
Conclusion and Practical Takeaways
Authors: Kumari Aparna
Published: May 2024

Data analytics, which includes fundamental ideas, cutting-edge techniques, and practical applications, is essential for directing well-informed decision-making in various industries. Starting with the importance of data preparation and integrity, the trip proceeds via exploratory data analysis and large-scale dataset analysis made possible by state-of-the-art tools such as Hadoop. Practical examples of data-driven decision-making's real-world advantages in various businesses are highlighted with ethical issues and privacy ramifications. Future trends are examined, including the merging of artificial intelligence and the changing function of data analysts. In light of data analytics' revolutionary potential in creating a data-centric landscape, creating a culture that supports real-world application, lifelong learning, and ongoing skill development is advocated.
Detection of Video Anomaly in Public With Deep Learning Algorithm
Authors: Dhurgadevi M. , Vimal Kumar D. , Senthilkumar R. , Gunasekaran K.
Published: May 2024

For traffic control and public safety, predicting the movement of people is crucial. The presented scheme entails the development of a wider network that can better satisfy created synthetic images by connecting spatial representations to temporal ones. The authors exclusively use the frames from those occurrences to create the dense optical flow for their corresponding normal events. In order to eliminate false-positive detection findings, they determine the local pixel reconstruction error. This particle prediction model and a likelihood model for giving these particles weights are both suggested. These models effectively use the variable-sized cell structure to produce sceneries with variable-sized sub-regions. It also successfully extracts and utilizes the video frame's size, motion, and position information. On the UCSD and LIVE datasets, the proposed framework is evaluated with the most recent algorithms reported in the literature. With a significantly shorter processing time, the suggested technique surpasses state-of-the-art techniques in relation to decreased equal error rate .
Unlocking Human Emotions
Authors: Waykar Yashwant Arjunrao , Yambal Sucheta
Published: May 2024

Emotion detection, a crucial element of human connection, has received considerable focus in recent years, driven by advancements in machine learning and deep learning methodologies. This chapter presents a thorough examination of machine and deep learning methods used to recognise emotions in many forms, such as text, voice, and pictures. The authors start by comparing standard methods with deep learning techniques, and then examine the intricacies of emotion recognition in text, audio, and images. They focus on the methodology, difficulties, and progress made in each of these areas. In addition, they explore the new area of multimodal emotion detection, which combines data from several sources to improve the accuracy and reliability of emotion identification algorithms. This chapter aims to offer insights into the transformative capacity of machines and deep learning techniques in comprehending and interpreting human emotions. By synthesising research findings and future directions, it paves the way for technology-mediated interactions and applications that foster empathy in various domains.
Challenges and Solutions in Emotion Detection Using Deep Learning Approaches
Authors: Mallik Sushma , Rana Anamika
Published: May 2024

Emotion detection using deep learning techniques has gained significant attention due to its wide-ranging applications in fields such as healthcare, marketing, human-computer interaction, and more. However, several challenges hinder the accurate detection and interpretation of emotions from various modalities such as text, speech, facial expressions, and physiological signals. This chapter systematically reviews the challenges faced in emotion detection and proposes innovative solutions leveraging deep learning methodologies. Through a combination of literature review, empirical analysis, and case studies, this chapter offers insights into overcoming these challenges and improving the performance and reliability of emotion detection systems across diverse applications.
Patient Monitoring and Alert Systems in Modern Healthcare Using Machine Learning
Authors: Kaswan Kuldeep Singh
Published: May 2024

The aim of this chapter is to explore the current landscape of patient monitoring and alert systems, highlighting technological advancements and addressing critical challenges faced by healthcare professionals. By understanding these challenges, the chapter aims to propose solutions and recommendations for optimizing patient monitoring practices. Through an analysis of existing literature and observations from clinical practice, this chapter will identify opportunities for improvement in patient monitoring systems. Emphasis will be placed on leveraging innovative technologies such as artificial intelligence and cloud computing to enhance data accuracy, streamline interoperability, and mitigate alarm fatigue among healthcare providers.