bluuebunny/crossref_metadata_2025 huggingface dataset:
PROFIL KEMAMPUAN LITERASI NUMERASI PESERTA DIDIK DI SMPN 4 TASIKMALAYA
Authors: CAHYAWATI YANI , K PURWATI KUSWARINI , M ROMY FAISAL , HERNAWATI DIANA , BADRIAH LIAH
Published: February 2025

This study aims to describe the numeracy literacy skills of students at SMP Negeri 4 Tasikmalaya and the factors that influence them. A survey was conducted to measure three indicators of numeracy literacy: (1) using various numbers and symbols related to basic mathematics to solve everyday problems, (2) analyzing information displayed in various forms (graphs, tables, charts, etc.), and (3) interpreting the results of the analysis to predict and make decisions. The results showed that the first indicator obtained the highest score (65.33), followed by the second indicator (56.00), and the third indicator obtained the lowest score (52.67). The average overall score of students' numeracy literacy was 58.00, which is considered sufficient. The low numeracy literacy skills are influenced by several factors, including less contextual learning methods, educators' readiness to implement relevant learning, and students' tendency to be more comfortable with mechanistic questions than questions that require critical thinking and application of concepts. To overcome this problem, it is recommended to implement a more effective learning approach, such as differentiated learning and the Problem-Based Learning (PBL) model, which can encourage an increase in students' numeracy literacy skills.
ABSTRAKPenelitian ini bertujuan untuk mendeskripsikan kemampuan literasi numerasi peserta didik di SMP Negeri 4 Tasikmalaya dan faktor-faktor yang mempengaruhinya. Survei dilakukan untuk mengukur tiga indikator literasi numerasi: (1) menggunakan berbagai angka dan simbol terkait matematika dasar untuk memecahkan masalah sehari-hari, (2) menganalisis informasi yang ditampilkan dalam berbagai bentuk (grafik, tabel, bagan, dsb.), dan (3) menafsirkan hasil analisis untuk memprediksi dan mengambil keputusan. Hasil penelitian menunjukkan bahwa indikator pertama memperoleh skor tertinggi (65,33), diikuti indikator kedua (56,00), dan indikator ketiga memperoleh skor terendah (52,67). Rata-rata skor keseluruhan literasi numerasi peserta didik adalah 58,00, yang tergolong cukup. Rendahnya kemampuan literasi numerasi ini dipengaruhi oleh beberapa faktor, di antaranya metode pembelajaran yang kurang kontekstual, kesiapan pendidik dalam menerapkan pembelajaran yang relevan, dan kecenderungan siswa yang lebih nyaman dengan soal-soal mekanistis daripada soal-soal yang menuntut pemikiran kritis dan aplikasi konsep. Untuk mengatasi permasalahan ini, direkomendasikan penerapan pendekatan pembelajaran yang lebih efektif, seperti pembelajaran berdiferensiasi dan model Problem-Based Learning (PBL), yang dapat mendorong peningkatan kemampuan literasi numerasi peserta didik.
PENILAIAN KETERAMPILAN KREATIVITAS PRODUK DALAM PENYUSUNAN PUZZLE MAHASISWA PGSD
Authors: LESTARI WIWIT YULI , RATNA AYU SANTIKA , ANWAR SITI NAZILA
Published: February 2025

This study aims to assess creativity in developing innovative learning media in the form of puzzles. Assessment plays a crucial role in measuring various aspects, including product development. This research aims to describe the creativity of elementary school teacher education students in developing puzzle-based media for science subjects at a private university in West Java. The study involved the product evaluation of 7 groups through observation. The assessment focused on novelty, resolution, elaboration, and synthesis. The findings revealed that the percentage for the novelty aspect was 55%, the resolution aspect was 83%, and the elaboration and synthesis aspect was 72%. The average creativity aspect of PGSD students showed that novelty scored the lowest, followed by elaboration and synthesis, while resolution scored the highest at 83%. Measuring creativity skills among prospective teacher students is essential to help enhance and train their creative abilities. This article is expected to contribute to developing creative, innovative, and relevant learning media to support quality education.
ABSTRAKPenelitian ini untuk menilai kreativitas dalam penyusunan media pembelajaran inovatif yaitu berupa puzzle. Penilaian sangat berperan penting dalam mengukur berbagai hal, begitu juga bisa untuk mengukur penyusunan produk. Tujuan penelitian untuk mendesrksipkan kreativitas mahasiswa pendidikan guru sekolah dasar dalam mengembangkan media berupa puzzle pada materi IPA di salah satu universitas swasta di Jawa Barat. Penelitian yang dilakukan menggunakan penilaian produk kepada 7 kelompok dengan cara observasi. Dalam penelitian ini dilihat dari ketiga aspek yaitu novelty, resoluty, dan elaboraty and synthesis. Hasil temuannya menunjukkan bahwa pada persentase pada aspek novelty mahasiswa prodi pgsd 55%, aspek resolusi 83%, dan aspek elaboration dan sintesis 72%. Rata-rata aspek kreativitas mahasiswa pgsd yang paling rendah yaitu novelty, kemudian aspek elaboration sintesis, dan yang paling gginggi resolusi yaitu 83%. Penting mengukur keterampilan kreatifitas pada mahasiswa calon guru untuk membantu meningkatkan dan melatih keterampilan kreatifitas. Artikel ini diharapkan dapat memberikan kontribusi dalam pengembangan media pembelajaran yang kreatif, inovatif, dan relevan untuk mendukung pendidikan berkualitas.
PEMBELAJARAN AKTIF DAN MEDIA PEMBELAJARAN PADA KEMAMPUAN PESERA DIDIK SMP DALAM MEMECAHKAN MASALAH MATEMATIS
Authors: NASUTION HARYATI AHDA , WAHYUNI RATNA
Published: February 2025

The effectiveness of active learning is supported by the use of learning media that deepens student competence so that there is an increase in solving mathematical problems. The research method uses an experimental design with a quantitative approach. The learning media used is the GeoGebra application, which is integrated into the active learning process. The research sample consisted of junior high school students who were given a pre-test and post-test to measure students' skills in solving mathematical problems. The statistical test results show that there is a significant difference between students' skills in solving mathematical problems before and after using the GeoGebra application, with the average value increasing significantly (t = -15.780; p = 0.000 < 0.05). These findings indicate that the integration of active learning and technology-based learning media can effectively develop students' abilities in solving mathematical problems.
ABSTRAKEfektivitas pembelajaran aktif yang didukung oleh penggunaan media pembelajaran yang diperdalam untuk kompetensi peserta didik agar adanya peningkatan dalam memecahkan masalah matematis. Metode penelitian menggunakan desain eksperimen dengan pendekatan kuantitatif. Media pembelajaran yang digunakan berupa aplikasi GeoGebra, yang diintegrasikan dalam proses pembelajaran aktif. Sampel penelitian terdiri dari peserta didik tingkat SMP yang diberikan pre-test dan post-test dalam mengukur keterampilan peserta didik dalam memecahkan masalah matematis. Dari hasil uji statistik menjelaskan bahwa perbedaan yang signifikan di antara keterampilan peserta didik dalam memecahkan masalah matematis sebelum dan setelah penggunaan aplikasi GeoGebra, dengan nilai rata-rata yang meningkat secara signifikan (t = -15,780; p = 0,000 < 0,05). Temuan ini menunjukkan bahwa integrasi pembelajaran aktif dan media pembelajaran berbasis teknologi dapat secara efektif mengembangkan kemampuan peserta didik dalam memecahkan masalah matematis.
EKSPLORASI FAKTOR-FAKTOR PENGHAMBAT PEMBELAJARAN IPS KONTEKSTUAL PADA SISWA SEKOLAH DASAR: PERSPEKTIF GURU DAN SISWA
Authors: DEWI NI PUTU ELLYS SUCITHA , LASMAWAN I WAYAN , KERTIH I WAYAN
Published: February 2025

This study explores the inhibiting factors in the implementation of contextual Social Studies (IPS) learning at elementary schools from the perspectives of teachers and students. Contextual learning aims to connect Social Studies content with students' daily lives to enhance understanding and learning motivation. However, various challenges, such as limited resources, administrative workload for teachers, differences in students' abilities, and lack of parental support, hinder the effectiveness of this approach. This research employs a qualitative method with a case study at several elementary schools in Malang City. Findings indicate that adequate facilities, continuous teacher training, and parental awareness of the importance of the contextual approach are necessary to optimize Social Studies learning.
ABSTRAKPenelitian ini mengeksplorasi faktor-faktor penghambat dalam penerapan pembelajaran Ilmu Pengetahuan Sosial (IPS) kontekstual di sekolah dasar dari sudut pandang guru dan siswa. Pendekatan pembelajaran kontekstual bertujuan untuk mengaitkan materi IPS dengan kehidupan sehari-hari siswa guna meningkatkan pemahaman dan motivasi belajar. Namun, berbagai tantangan seperti keterbatasan sumber daya, beban administratif guru, perbedaan tingkat kemampuan siswa, dan kurangnya dukungan orang tua menghambat efektivitas pendekatan ini. Penelitian ini menggunakan metode kualitatif dengan studi kasus di beberapa sekolah dasar di Kota Malang. Temuan menunjukkan bahwa dukungan sarana prasarana yang memadai, pelatihan guru berkelanjutan, serta kesadaran orang tua terhadap pentingnya pendekatan kontekstual sangat diperlukan untuk mengoptimalkan pembelajaran IPS.
A low-cost, autonomous system for distributed snow depth measurements on sea ice
Authors: Raphael Ian A. , Perovich Donald K. , Polashenski Christopher M. , Hawley Robert L.
Published: February 2025

Abstract. Snow is a critical component of the Arctic sea ice system. With its low thermal conductivity and high albedo, snow moderates energy transfer between the atmosphere and ocean during both winter and summer, thereby playing a significant role in determining the magnitude, timing, and variability of sea ice growth and melt. The depth of snow on Arctic sea ice is highly variable in space and time, and accurate measurements of snow depth and variability are central to improving our basic understanding, model representation, and remote sensing observations of the Arctic system. Our ability to collect those measurements has hitherto been limited by the high cost and large size of existing autonomous snow measurement systems. We designed a new system called SnoTATOS (the Snow Thickness and Temperature Observation System) to address this gap. SnoTATOS is a radio-networked, distributed snow depth observation system that is 95 % less expensive and 93 % lighter than existing systems. In this manuscript, we describe the technical specifications of the system and present results from a case study deployment of four SnoTATOS networks (each with ten observing nodes) in the Lincoln Sea between April 2024 and January 2025. The study demonstrates SnoTATOS’ utility in collecting distributed, in situ snow depth, accumulation, and surface melt data. While surface melt varied within each network by up to 38 %, mean surface melt between networks varied by only up to 9 %. Similarly, whereas initial snow depth varied by up to 42 % within each network, a comparison of mean initial snow depth between networks showed a maximum difference of only 26 %. This indicates that floe-scale measurements made using SnoTATOS provide more representative data for regional intercomparisons than existing single station systems. We conclude by recommending further research to determine the optimal number and arrangement of autonomous stations needed to capture the variability of snow depth on Arctic sea ice.
Towards sensible heat flux measurements with fast-response fine-wire platinum resistance thermometers on small multicopter uncrewed aerial systems
Authors: Wildmann Norman , Györy Laszlo
Published: February 2025

Abstract. This study demonstrates the feasibility of measuring temperature variance and sensible heat flux with self-calibrated fine-wire platinum resistance thermometers (FWPRT) on multicopter drones. The sensors are especially designed for light-weight, fast response-times and to be carried on miniature drones for turbulence measurements. A significant improvement was found in vertical profiling of temperature gradients compared to slower solid-state sensors, demonstrating reduced hysteresis between ascent and descent phases and accurate representation of strong gradients. More than 100 single flights with the sensors attached to drones of the SWUF-3D fleet were carried out in vicinity to a meteorological mast array at the WiValdi wind energy research park in Northern Germany. The comparison to sonic anemometers shows that mean temperature and temperature variance can be accurately measured within the background flow variability. The same applies for sensible heat flux, which was measured for the first time with multicopter UAS and the eddy covariance method. Sensible heat flux is a crucial parameter to understand the energy balance of the atmospheric boundary layer. An uncertainty of 50 W m-2 was determined with the constraint that only low wind speed conditions could be used to allow vertical wind speed measurements with the current algorithm. The results indicate that the temperature sensors are suited for sensible heat flux measurements, but further improvements are necessary with regard to vertical wind speed estimates to decrease the overall uncertainty.
Learning Evaporative Fraction with Memory
Authors: Zhao Wenli , Winkler Alexander J. , Reichstein Markus , Orth Rene , Gentine Pierre
Published: February 2025

Abstract. Evaporative Fraction (EF), the ratio of latent heat flux to the sum of sensible and latent heat flux, is a key metric of surface energy partitioning and water stress. Recognizing the importance of soil moisture and vegetation memory effect, we developed a machine learning (ML) model using Long Short-Term Memory (LSTM) unit, which include memory effects, to predict EF, based on eddy-covariance data from the combined ICOS, AmeriFlux, and FLUXNET2015 Tier 1 dataset across different plant functional types (PFT). The results show that the model can accurately capture and reconstruct the EF dynamics, particularly in the dry season and during drydowns, using routinely available weather observations, e.g., precipitation, net radiation, air temperature, vapor pressure deficit (VPD), and other static variables: PFT and soil properties. Specifically, there is a strong correlation (R2 of 0.72) between the ensemble mean EF predictions and the observations on the test set, across sites spanning a large climate and ecosystem gradient. Second, we employ explainable ML techniques to elucidate the drivers of EF while accounting for the memory effect. Precipitation, VPD are two main drivers for woody savanna (WSA), savanna (SAV), open shrubland (OSH) and grassland (GRA) sites, while air temperature is dominate controlling factor in most forest sites, comprising deciduous broadleaf forest (DBF), evergreen needleleaf forest (ENF) and mixed forest (MF). Additionally, our findings reveal varying memory effects across different PFTs, as indicated by the contributions of antecedent time steps via integrated gradients. Specifically, GRA and WSA exhibited relatively lower memory effect contributions compared to forested sites. A detailed analysis of memory effects indicates their strong relationship with rooting depth, soil water holding capacity, and plant water use strategies, which collectively regulate the time scales of droughts. Notably, the learned memory effect across diverse PFTs could potentially serve as proxies for inferring vegetation rooting depth and assessing the plant water stress conditions. Our findings underscore the crucial influence of meteorological memory effect on EF predictions, particularly important for estimating future water stress, as the frequence and intensity of droughts are expected to rise.
Spatial structures of emerging hot & dry compound events over Europe from 1950 to 2023
Authors: Schmutz Joséphine , Vrac Mathieu , François Bastien , Bulut Burak
Published: February 2025

Abstract. Compound events (CE), characterized by the combination of climate phenomena that are not necessarily extreme individually, can result in severe impacts when they occur concurrently or sequentially. Understanding past and potential future changes in their occurrence is thus crucial. The present study investigates historical changes in the probability of hot and dry compound events over Europe and North Africa, using ERA5 reanalyses spanning the 1950–2023 period. Two key questions are addressed: (1) Where and when did the probability of these events emerge from natural variability, and what is the spatial extent of this emergence? This is explored through the analysis of “time” and “periods” of emergence, noted ToE and PoE, defined as the year from which and the moments during which changes in compound event probabilities exceed natural variability. The new concept of PoE allows for more in-depth signal analysis. (2) What drives the emergence? More specifically, what are the relative contributions of changes in marginal distributions versus in the dependence structure to the change of compound events probability? The signal is modelled with bivariate copula, allowing for the decomposition of these contributions. A focus on the dependence component is explored to quantify its effect on the signal’s emergence. The results reveal clear spatial patterns in terms of emergence and contributions. Five areas are studied in greater depth, selected for their contrasted signal behaviors. In some regions, the frequency of hot and dry events increased, mainly due to a change in the marginals. However, other regions see a decrease of CE probabilities, mainly driven by a change in the drought index. Although the dependence component is rarely the main contributor to PoE, it remains necessary to detect signal’s emergence. Without considering the dependence component, the date of ToE and the duration of PoE can be overestimated as well as underestimated (even more than 20 years) depending on the area. These findings provide new insights into the drivers of CE probability changes and open avenues for advancing attribution studies, ultimately improving assessments of risks associated with past and future climate change.
Cuando el arte hace diplomacia: la labor de Joaquín Vaquero Palacios al frente de la Academia Española de Bellas Artes en Roma y su papel en la proyección internacional de la España franquista
Authors: Meléndez-Galán Enrique
Published: February 2025

La estancia durante diez años del arquitecto y artista plástico Joaquín Vaquero Palacios en la Academia Española de Bellas Artes en Roma ha sido algo que siempre se ha puesto de manifiesto por la importancia que supuso en el desarrollo tanto de su carrera como arquitecto como también en su vertiente de artista plástico. No obstante, el papel como gestor de la Academia de España en Roma es algo que se ha visto relegado y en el que, hasta este momento, no se ha profundizado en demasía. Este artículo pretende poner en valor dicha actividad, aclarar cuál fue su papel exacto al frente de la Academia en los años de apertura del franquismo y cuáles fueron las figuras e instituciones con las que tuvo oportunidad de relacionarse durante su paso por la institución que en 2023 celebraba su ciento cincuenta aniversario. Como resultados de dicha investigación, podemos reseñar el papel que jugó la Academia en la política cultural al servicio de la diplomacia franquista y la importancia de Vaquero como artista de la modernidad y figura afín al régimen como el hombre adecuado para afrontar tal desafío.
Tensiones en sistemas co-creativos. Una mirada crítica a la integración del diseño en comunidades artesanales de Colombia en el departamento de Santander
Authors: Vargas Espitia Adolfo , Cuadrado-Siosy Joyce K.
Published: February 2025

El diseño colaborativo entre artesanos rurales y diseñadores enfrenta tensiones epistemológicas, culturales y relacionales derivadas de la interacción entre conocimientos empíricos y académicos, las demandas globales frente a la preservación cultural y las desigualdades de poder. Estas tensiones, lejos de ser obstáculos, son oportunidades para transformar el diseño co-creativo en un sistema más inclusivo y resiliente. Este artículo analiza cómo dichas fricciones modelan los procesos de co-creación en el departamento de Santander, Colombia. A través de entrevistas, observación participante y revisión documental, se identifican las dinámicas entre los actores, los procesos creativos y los resultados creados.
Los hallazgos muestran que la implementación de metodologías híbridas facilita la integración de saberes locales y herramientas contemporáneas, promoviendo un diseño situado. Asimismo, se resalta la importancia de consolidar acuerdos de colaboración que garanticen una distribución equitativa de responsabilidades y beneficios. Desde una perspectiva decolonial, se proponen estrategias como el fortalecimiento de redes de confianza, la resignificación de los oficios artesanales y la implementación de mecanismos de gobernanza horizontal. Finalmente, se destacan puntos de apalancamiento para gestionar estas tensiones y consolidar sistemas co-creativos que articulen tradición e innovación, favoreciendo el diálogo y dando lugar a productos resilientes y culturalmente significativos.
FATO OU FAKE (?): PROBLEMATIZAÇÕES PARA PENSARMOS A EDUCAÇÃO EM TEMPOS DE INFODEMIA
Authors: Souza Alessandro Camara de , Silva Dagmar de Mello e , Silva Leiliane Domingues da
Published: February 2025

Esta é uma escrita/convite, especialmente para aqueles/as que estão envolvidos com a Educação. Nela apresentamos algumas análises teóricas a respeito de práticas evidenciadas na Cultura Digital, decorrentes de estudos cartográficos de Pesquisas de pós-doutorado e doutorado em andamento, que buscaram e ainda buscam refletir sobre os modos como temos apreendido as coisas do mundo contemporâneo. Procuramos trazer à cena alguns conceitos de teóricos da Cultura Digital, da Pedagogia de Multiletramentos e da Cultura Visual que estão citados ao longo do texto, com o objetivo de dar a ver ao leitor questões que possam contribuir para uma docência que restitua às nossas crianças e jovens o “Direito a Olhar”. Para tanto, utilizamos, também, como fonte, artigos científicos e autores clássicos para que, ao serem colocados em diálogo, propiciem uma experiência de leitura que promova contravisualidades às visualidades hegemônicas do nosso tempo.
CONDIÇÕES DE DOCÊNCIA, ORIGENS SOCIAIS DE ESTUDANTES E DESEMPENHO NO SAEB 2021
Authors: Madeira Fellipe , Caprara Bernardo Mattes
Published: February 2025

O objetivo deste artigo é examinar e analisar os efeitos das desigualdades sociais e educacionais, com destaque para a docência, nos rendimentos estudantis, atualizando o debate no Brasil do tempo presente. Para isso, mobilizamos uma abordagem quantitativa, com o uso da base de dados de 2021 do Sistema de Avaliação da Educação Básica (Saeb). Através de dois modelos de regressão linear múltipla (OLS), destacamos os alcances dos efeitos do trabalho docente e dos aspectos sociais, raciais e econômicos nos rendimentos em língua portuguesa e matemática de estudantes do 3º e 4º anos do Ensino Médio.
Ethanol extract from Ziziphus nummularia stem inhibits MCF-7 breast cancer cell proliferation through TP53 regulating kinase (TP53RK)-mediated p53 activation: In silico and genes expression investigations
Authors: Elya Berna , Rosmalena Rosmalena , Fajrin Ajeng M. , Tedjo Aryo , Ramadanti Nur A. , Azizah Norma N. , Hashim Najihah BM.
Published: February 2025

The p53 signaling pathway plays a critical role in regulating the cell cycle, apoptosis, and senescence, making it a key target in cancer research. The aim of this study was to investigate the effects of an ethanol extract from the stem of Ziziphus nummularia on the proliferation and expression of genes involved in the p53 pathway in MCF-7 breast cancer cells. To achieve this, real-time quantitative PCR (RT-qPCR) was used to evaluate the mRNA expression of downstream genes linked to cell cycle and senescence, including CycE or CCNE1, RBL1, and E2F1. Molecular docking simulations using Molegro Virtual Docker (MVD) were also performed to assess the potential inhibitory activity of metabolite compounds from Z. nummularia stem against p53-regulating kinase (TP53RK). The results showed that the IC50 value of Z. nummularia stem ethanol extract against MCF-7 cells was 38.27±0.72 µg/mL. The results also revealed a reduction in the expression of downstream genes linked to cell senescence and the cell cycle: CycE or CCNE1 (p=0.011), RBL1 (p=0.008), and E2F1 (p=0.005), which was observed through RT-qPCR analysis of mRNA expression. This fact indicated that the inhibitory effects on proliferation by the ethanol extract of Z. nummularia stem might occur via pathways associated with cell senescence and cell cycle arrest.  Molecular docking results of metabolite compounds from Z. nummularia stem suggested that squalene (Rerank score -112.70 kJ/mol), and nummularine B (Rerank score -110.68 kJ/mol) had potential as TP53RK inhibitors. These Rerank scores were smaller compared to the Rerank score of adenyl-imidodiphosphate (AMP-PNP), which was the native ligand of TP53RK, as confirmed by molecular dynamics analysis. These in silico results were confirmed by the decrease in p21 (CDKN1A) mRNA expression. In conclusion, the anti-proliferative effects of the ethanol extract from Z. nummularia stem on breast cancer cells occurred by affecting cell cycle-related genes and inhibiting apoptosis protection mediated by overexpression of p21 (CDKN1A) through p53 activity.
Tem que respeitar meu tamborim: notas sobre a transcrição musical da bateria da Mangueira
Authors: Oliveira Luis Eduardo Pinheiro de
Published: February 2025

Este artigo trata do processo de transcrição musical de uma bateria de escola de samba. Apresenta, de forma sucinta, a estrutura e as características da bateria da G.R.E.S. Estação Primeira de Mangueira a partir dos seus naipes de Surdo, Caixa, Repique e Tamborim, junto a comentários e reflexões sobre o que é tocado por eles. Para isso propõe uma metodologia própria de análise da bateria a partir da categorização dos naipes de acordo com a função que exercem no conjunto.
Early Clinical Findings for Predicting a Bacterially Caused Sinusitis
Authors: Speizman Samuel , Merenstein Daniel
Published: February 2025

Introduction

Acute rhinosinusitis (ARS) is a common condition, most commonly due to a viral infection, yet it is a leading cause of inappropriate antibiotic prescriptions. The overprescription is due to a lack of clinical markers or point-of-care tests that help the clinician differentiate between viral vs bacterial sinusitis.

Methods

Baseline data were used from a pilot, randomized, placebo-controlled trial that was conducted from November 2023 to March 2024. Baseline data included subgroups containing C-reactive protein (CRP) levels, the presence of purulent nasal discharge, and physician gestalt for 140 participants presenting with symptoms of ARS. The percentage of participants with prolonged and resolved ARS symptoms in each subgroup was measured. Additionally, the relationship between the number of positive subgroups assigned and the percentage with prolonged ARS symptoms was examined.

Results

In the positive CRP, clinician gestalt, and purulent nasal discharge subgroups, 83.3%, 81.1%, and 85.3% of participants, respectively, had prolonged ARS. In the negative CRP, clinician gestalt, and purulent nasal discharge subgroups, 72.4%, 58.3%, and 62.9 % of participants, respectively, had prolonged ARS. There was a positive association between the number of positive subgroups a participant was part of vs the percentage of participants with prolonged ARS.

Conclusions

Data from this analysis suggest that having an elevated C-reactive protein level, the presence of purulent nasal discharge, and a high or intermediate physician impression of a bacterial infection at baseline are associated with bacterially caused sinusitis. The next step will be to evaluate in the full study whether these subgroups of patients benefit from antibiotics.
Assessing the Impact of Civic Education on the Development of Leadership Capacity and National Consciousness of Middle and Upper Basic Education Learners in Okitipupa, Ondo State, Nigeria
Authors: D. O. Adekeye, , B. B. Adeyemi,
Published: February 2025

It is the critical role of formal Civic Education at the Basic Educational levels to create national consciousness as well as to develop and reinforce leadership capacity of learners to create a much more enduring foundation for sustainable national integration. This research assessed the actual impact of Civic Education on the Middle and Upper Basic Education (M&UBE) learners in Okitipupa metropolis and its environs: Igbokoda and Irele. Survey and experimentation methods were adopted while questionnaires and interviews were the instruments used for data collection. The study found that the leadership capacity and national consciousness development components of the current Civic Education among learners within this scope of study are extremely inadequate. The study recommended a review of the Civic Education curriculum content, training of personnel and adoption of integrated learning methodology effective Civic Education experience for M & UBE learners.
Blockchain-Secured and VPN Integrated Power Systems Management
Authors: Revanth P S B.E.
Published: February 2025

Integration VPN and blockchain technology for power system management provides a transformative approach to the user by addressing obstacles of data security transparency and efficiency with the help of decentralized energy grids. As a modern power system, it enhances its dependency on distributed renewable energy sources and integrated smart grids which require robust protection of data and operation integrity. Blockchain provides a decentralized immutable laser for securely recording energy transaction monitoring performance and protecting from unauthorized access. This ensures transparency by promoting trust among multiple stakeholders and reducing the risk of Cybercrime. Along with blockchain VPN integration ensures encrypted communication across the power grid and ensures encrypted data transmission between nodes. It is also capable of preventing authorized access and allowing the users to remote monitor securely with the help of a dual layout framework and real-time system optimization. It supports critical applications including energy trading platform demand response programs and improves data privacy and security. Integration with VPN-encrypted connectivity and blockchain-decentralized security power systems can achieve excellent resilience against cybercrime and operational disruptions. This integrated approach created an effective way for efficient and sustainable energy management that supports innovation and trust in a rapidly transforming energy landscape. The present study is going to explore the potential of the blockchain and VPN for securing power systems.
Predicting the Carbon Property of Soil Using DrSeqANN and VIS/NIR Spectroscopy
Authors: Jakkan D A.
Published: February 2025

Plant productivity and health are directly impacted by carbon(C) levels. This study evalu-ated the potential of visible/near-infrared (V/NIR) spectroscopy (350-2,500 nm) for soil characterization, utilizing a dataset of 200 soil samples from Uttar Pradesh, India. The pre-dictive performance of spectral data was compared across three modeling approaches: an Ensemble of Lasso and Ridge Regression models (ELRR), Random Forest (RF), and a more complex Artificial Neural Network (ANN) were employed to choose the spectral character-istics that were utilized in the C prediction.. To reproduce the spectrum's wavelength The log derivative, log to base 10 derivative log10x and inverse derivative were employed in the preprocessing.. The results showed that the availability of C was found to be between 350 and 450 nm. Using the Log10x pre-processed data and the suggested DrSeqANN-Dropout Sequential Artificial Neural Network technique, the most accurate results were obtained by accessing parameters with the aid of RMSE = 0.08, R2 = 0.82, and RPIQ = 4.32 for our sug-gested DrSeqANN model. Compared to the other two approaches
Quantum Machine Learning Technique for Insurance Claim Fraud Detection with Quantum Feature Selection
Authors: Subodh Nath Pushpak
Published: February 2025

This paper demonstrates a novel use of quantum machine learning (QML) algorithms for detecting fraudulent activities in the home insurance sector. Utilizing actual data and IBM Quantum processors through the Qiskit software stack, the study introduces an innovative method for selecting quantum features that are specifically designed to accommodate the limitations of Near Intermediate Scale Quantum (NISQ) technology by using the Quantum Support Vector Machine (QSVM) in conjunction with traditional machine learning techniques. A comprehensive comparison was conducted to evaluate their effectiveness in detecting fraud. The indicators such as accuracy, recall, and false positive rate are carefully analyzed. Despite the constraints of current quantum technology, QSVM shows excellent accuracy, especially on limited datasets, indicating its potential to enhance insurance fraud detection. The research emphasizes the crucial feature selection in optimizing QML algorithms for fraud detection tasks. It investigates the capacities of hybrid quantum/classical machine learning ensembles. Future research directions include expanding this study to actual hardware implementations to verify its practical feasibility. The work enhances financial security in the insurance business by using quantum computing technology in fraud detection approaches. It establishes the feasibility and efficacy of using quantum resources to solve difficult real-world issues, setting a foundation for or the broader application of QML in fraud detection and other fields.
Work – Life Balance among Female Lecturers in Tamil Nadu, India: A Synthetic Data Approach
Authors: Logeswari B.
Published: February 2025

Work-life balance (WLB) is an important issue of wellbeing, particularly for women in professions such as teaching. The aim of this study is to present innovative ways of using synthetic sources to analyse real-world challenges at the intersection of professional duties and personal responsibilities. This research explores the use of artificially generated information and computational techniques to assess the WLB stability of female teachers in higher education institutions. Using this enhanced dataset, a series of machine learning (ML) classifiers are constructed and evaluated to predict WLB outcomes. This research makes a significant contribution to the fields of educational administration and data science in the Kumbakonam district of Tamil Nadu and illustrates the value of synthetic data in social science research, providing insights into improving the WLB of women in higher education. It also provides recommendations for legislative and institutional reforms that can be implemented to improve women's WLB.
The Impact of Globalization on Economic and Technological Development of Countries
Authors: Oleksandr Diachenko
Published: February 2025

Introduction: One of the primary forces behind economic growth in the contemporary world is globalisation. Globalisation presents many challenges for states, in addition to the rise in trade volumes brought about by market openings, the expansion of national economies’ competitiveness through communications advancements, the adoption of cutting-edge technologies, and the draw of foreign investment.
Objectives: This article aims to examine the advantages and disadvantages of globalisation’s influence (the study object) on the economic growth processes of various nations.
Methods: This study’s methodological foundation is the system approach. The primary techniques used are content analysis and correlation analysis, the comparative approach, abstraction, induction and deduction, and systematisation.
Results: The degree of a nation’s economic development, as shown by GDP (PPP) per capita, is directly correlated with its level of globalisation (as measured by the KF Globalization Index). Nevertheless, nations' degree of globalisation is weakly correlated with other macroeconomic indices, such as unemployment, inflation, and public debt. However, nations characterised by high levels of public debt and those with high rates of economic development suffered the most from the 2008 global financial crisis. The authors discovered that globalisation encourages Asian nations to participate economically in global economic processes. These nations are already surpassing developed nations (the USA and the EU) in several sectors and effectively compete with them (China leads the globe in both exports and GDP (PPP) rankings). These data dispute the claim that globalisation favours primarily developed countries (the global North). At the same time, processes within the globalisation landscape promote the spread of socioeconomic inequality throughout the world. Such disparity is common in countries in both the North and the South.
Conclusions: As a result, effective public policy is required to maximise globalisation's benefits while minimising its negative influence, promoting countries’ economic progress.
The Role of International Organizations in The Regulation and Management of The World Economy and Security
Authors: Valerii Morgun
Published: February 2025

Introduction: The significance of international regulatory bodies for the world economy is very much a crucial element for the creation of a stable order and further democratisation of the world. In this regard, the author seeks to explore the means of the influence of these organisations on macroeconomic parameters, ratios, international trade, finances, and international benchmarks and norms.
Objectives: This research's focus is to analyse the contribution of international organisations to the development of the world economy, particularly the development of international trade, the maintenance of finance and economic stability, and the strengthening of sustainable development.
Methods: The research methodology takes a structured global economy view by making economic predictions and an outlook analysis. It depends on analysing statistical databases of photos of people members of international economic organisations, analytical papers of popular international economic centres, and forecasts by prominent economists.
Results: The investigation results point out the need to expand the collaboration in the space of relevance to advance the efforts to address the existing gaps. The article comprehensively deals with the significant processing that ought to be adopted to enhance the role of international organisations and help realise the goals of global governance. It considers the prospective directions of development of international economic organisations and mechanisms, as well as measures to increase their influence on forming a stable world economy.
Conclusions: Thus, the authors aim to evaluate the performance of these international organisations against the backdrop of the contemporary challenges facing the economy and their contributions to the development and integration processes. The study stresses the need for cost-effective and efficient international organisations in response to the dynamics of the global economy. Such an approach will systematically address international organisations' issues and challenges in the quest for global integration in Africa.
Using Corporate Social Responsibility as A Tool to Reduce the Menace of Open Defecation and Improve Standards of Sanitation in the Villages of Mehsana, Gujarat
Authors: Bijal Shah
Published: February 2025

All Corporates as per under Section 135 of the Companies Act 2013 and Companies (Corporate Social Responsibility Policy) Rules 2014 have to spend a part of their profits in the areas designated by the Act. Eradicating hunger, poverty & malnutrition, promoting preventive health care & sanitation & making available safe drinking water is one such important focus area. ONGC Mehsana took up project for construction of individual household toilets in fifteen villages thereby leading to improvement insanitation and living conditions of these villages.The main aim of this paper is to study in detail the impact caused on the improvement in the sanitation index of these villages and the reduction in the waste generation thereby leading to open defecation free villages in the state of Gujarat. ONGC took up this project into consideration under CSR and after conducting a need identification study and necessary infrastructure was brought into place. The major issues discussed in the paper are the improvement in the sanitation index techniques and changes brought about due to the conJISEM struction of the household toilets. Multiple-choice questionnaire was circulated among the beneficiaries to document the process and record the changes. Relevant information was referred from primary sources published by ONGC Limited. It has been found that the construction of these household individual toilets has led to improvement in the sanitation of the villages leading to improved living conditions in the villages.
Automated Classification of Coloboma Subtypes Using InceptionV3 Algorithm on Optical Coherence Tomography Images
Authors: M Kirankumar
Published: February 2025

Introduction: Congenital coloboma is an eye abnormality in which genetically affected newborns have missing elements of the eye structure. That is why it is so important to correctly classify coloboma and then differentiate between the specific subtypes. Current diagnostic methods involve much dependence on the judgment of ophthalmologist andfundamentally rely on manual interpretation of OCT images which is cumbersome and unstandardized.
Objectives: The objective of this study is to create an automated classification system that will satisfactorily classify six forms of coloboma using OCT images with the help of the pre-trained InceptionV3 convolutional neural network. The objective in developing this tool is to have an optimally stable instrument that shall help clinicians in identifying and diagnosing various types of coloboma as quickly as possible.
Methods: Such a dataset of OCT images of the coloboma conditions included various subtypes of coloboma. These images were rescaled and normalized, and pre-process by enlarging or shrinking it to the same size as the target input images. The used model in this study is the InceptionV3 model which was pre-trained on ImageNet and subsequently fine-tuned on this dataset. To reduce overfitting, rotation, scaling, and flip were performed as approach to data augmentation. Independent data validation was done to measure the accuracy of the model and using sensitivity, specificity, and the AUC-ROC curve.
Results: The InceptionV3 model trained with a narrowed focus was accurate in recognising the various coloboma subtypes and reduced the diagnostic time as well as precision more effectively. This automated classification system can be useful to clinical decision making and patient care and should be implemented as a part of different screening systems.
Conclusions: The evaluated proposed automated colos subtype classification system based on optical coherence tomography imaging and the InceptionV3 model can contribute to the improvement of clinical results due to more accurate and fast subtype classification. Further work will include the collection of more data, the inclusion of more imaging data and the enhancement of efficiency of the model and its results.
Privacy Challenges and Solutions in IoT Deployments: Insights from Saudi Arabia
Authors: Fawaz A. Mereani
Published: February 2025

When firms implement the Internet of Things (IoT), they face many privacy issues. The literature identifies many issues related to the different layers of IoT. However, empirical studies on firms implementing IoT are rare. This study aimed to address this gap. An online survey using Survey Monkey obtained 199 valid responses. All ethical aspects were fully complied with. These responses were analysed for their frequencies. The results were presented and discussed. From the results and discussions of this study, large Saudi firms face many IoT privacy issues. However, most of these firms solve these problems by implementing effective solutions. Other firms that have not implemented effective solutions can learn from the firms that have effectively implemented solutions. The best practices derivable from the results are: (1) Perform a detailed analysis of IoT privacy issues in the organisation, identifying the threat to each layer; (2) Rate the privacy threats according to their frequency, probability and impact rather than through guesswork. This can be achieved by regular monitoring of IoT risks, (3) Implementing solutions based on the type of issue and the vulnerable IoT layer using the rating results, and (4) Regularly monitoring, reviewing and improving the implemented solutions to IoT privacy issues. Some limitations of this study and the scope for future research have been mentioned at the end of this paper.
Exploring Personal Expressions Toward Homelessness Through Material, Surface Exploration, and Mixed Media Artwork: Integration of Information Systems in Creative Practices
Authors: Yeow Lin Shan
Published: February 2025

This research explores the personal expression of homeless individuals through the artist’s use of materials and surfaces, with a focus on conveying the experience of homelessness in Georgetown, Penang. The primary objective is to determine how different materials can effectively evoke emotions and narratives associated with the homeless condition, enabling personal expression through artistic practice. Art-based research is employed, combining non-participatory observation and reviews of existing artworks. The Panofsky model, which emphasizes intrinsic artistic value, is used to analyze the meaning behind the materials. The research includes studio investigations, where various mediums and surfaces are experimented with to express the emotions and lived experiences of homeless people. The exploration of texture and composition aids in finding the right materials to reflect personal narratives. For theory, this research contributes to the understanding of how  materiality in art serves not just an aesthetic function but also a communicative one.
Empowering Change: Women’s Participation and Management in Trade Unions in India
Authors: Shyamkant Madhukar Khonde
Published: February 2025

The study "Empowering Change: Women's Participation in Trade Unions in India" explores how enhancing women's involvement in trade unions can empower individuals, catalyze broader societal change, and lead to more just and effective labor policies benefiting the entire nation. The study adopted a mixed-method approach to provide a comprehensive understanding of both the quantitative impact and the qualitative experiences of "women's participation in the trade union movement in India." The study used a structured questionnaire via Stratified random Sampling to select participants. The data was analyzed using descriptive statistics. The results reveal that more and more young women join the trade unions, but they also face several obstacles related to gender-based discrimination and organizational practices. Work-life balance, opportunities for leadership, and the development of skills play a crucial role in ensuring active participation by women. The study findings suggest that training and skill development have been the major drivers of improvement toward establishing and maintaining female participation, taken together, contributing uniquely to the experience of increased participation. In addition, the findings of the study highlight the need to create an enabling environment for women to participate and benefit from trade union activities to affect change at work and beyond.