bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan Modul Ajar Digital Berbasis Augmented Reality Terintegrasi Profil Pelajar Pancasila
Authors: Patmaniar Patmaniar , Jumarniati Jumarniati , Hardiana Hardiana , Taufiq Taufiq , Baharuddin Muhammad Rusli 
Published: January 2025

Pentingnya pengembangan modul ajar digital berbasis Augmented Reality (AR) yang terintegrasi dengan Profil Pelajar Pancasila adalah untuk menciptakan solusi pembelajaran yang inovatif, relevan, dan interaktif di era digital. Modul ini tidak hanya meningkatkan kualitas pembelajaran dengan menggunakan teknologi canggih seperti AR, tetapi juga membantu memperkuat karakter dan kompetensi peserta didik sesuai dengan nilai-nilai Profil Pelajar Pancasila. Dengan demikian, modul ini penting dalam memastikan pendidikan dapat menyelaraskan diri dengan perkembangan zaman dan kebutuhan pembelajaran yang semakin kompleks. Penelitian ini bertujuan untuk mengembangkan modul ajar digital berbasis AR yang terintegrasi profil pelajar pancasila terdiri 6 dimensi yaitu beriman dan bertaqwa kepada Tuhan Yang Maha Esa, berkebinekaan global, gotong royong, mandiri, kreatif dan bernalar kritis. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan ADDIE yang terdiri dari lima tahapan yaitu analysis (analisis), design (perancangan), development (pengembangan), implementation (implementasi), dan evaluation (evaluasi). Teknik analisis data yang digunakan meliputi pendekatan deskriptif kualitatif dan kuantitatif. Data kualitatif diperoleh dari hasil observasi implementasi modul ajar dan data kuantitatif diperoleh dari hasil penilaian oleh ahli isi dan ahli materi serta hasil dari angket kuesioner. Kesimpulan penarikan didasarkan pada hasil pengukuran validitas, kepraktisan, dan efektivitas modul. Hasil penelitian menunjukkan bahwa modul ini sangat valid dan praktis digunakan dalam pembelajaran, dengan nilai validitas mencapai 79% dan 80% dalam kategori valid. Sedangkan kepraktisan mencapai 86% dan 90% dalam kategori sangat praktis. Untuk evaluasi kemampuan literasi digital juga menunjukkan bahwa sebagian besar siswa berada pada kategori "Cakap" dengan persentase 40,63%, dan "Berkembang" dengan persentase 42,19%, meskipun masih diperlukan penguatan untuk mencapai tingkat kemahiran yang lebih tinggi. Secara keseluruhan, modul ajar berbasis AR terintegrasi profil pelajar Pancasila efektif dalam mendukung pembelajaran interaktif dan membantu siswa memahami konsep abstrak dengan lebih mudah melalui visualisasi 3D.
Eksplorasi Konsep Psikologi Kepribadian: Pengembangan Video Animasi Sebagai Media Pembelajaran
Authors: Putri Raissa Dwifandra , Lestari Laila Indra , Hidajat Helga Graciani , Ubaidillah Aan Fardani 
Published: January 2025

Pengembangan media pembelajaran sangat penting di era teknologi saat ini. Dengan pesatnya kemajuan teknologi, inovasi pembelajaran berbasis teknologi perlu dikembangkan agar sesuai dengan kebutuhan peserta didik. Salah satu contohnya adalah media pembelajaran berbasis multimedia, yang bermanfaat dalam membantu siswa mengatasi keterbatasan memori kerja. Visualisasi seperti animasi dapat memudahkan siswa memahami informasi yang kompleks, misalnya dalam mata kuliah Psikologi Kepribadian, yang memiliki banyak konsep dan teori yang perlu dipahami mahasiswa . Penelitian ini bertujuan untuk mengembangkan media pembelajaran berupa video animasi yang mampu membantu mahasiswa dalam memahami teori psikologi kepribadian dengan lebih sederhana. Metode yang digunakan oleh peneliti berupa metode penelitian dan pengembangan (Research & Development; R & D), dengan model 4D (define, design, develop, dan disseminate). Subjek dari penelitian ini ialah mahasiswa S1 Psikologi Fakultas Psikologi Universitas Negeri Malang dengan objek penelitian ialah mata kuliah Psikologi Kepribadian. Pengumpulan data dilakukan menggunakan kuesioner uji validasi media pembelajaran. Hasil uji ahli (1 ahli media dan 2 ahli materi) hingga hasil uji coba pemakaian pada 33 mahasiswa mendapatkan persentase > 81%. Hal ini menunjukkan video animasi yang dikembangkan untuk pembelajaran mata kuliah Psikologi Kepribadian secara media maupun materi memenuhi standar kualitas yang baik dan sangat layak untuk digunakan. Video pembelajaran yang dirancang khusus untuk mata kuliah Psikologi Kepribadian ini menggunakan pendekatan visual dan auditory yang membantu mahasiswa memahami konsep-konsep kepribadian yang abstrak dengan lebih jelas. Selain itu, vídeo pembelajaran ini juga memberikan fleksibilitas belajar yang dapat membantu mahasiswa mengelola waktu dan kecepatan belajar sesuai kebutuhan masing-masing.
Pembelajaran Berdiferensiasi Berbasis Lesson Study untuk Meningkatkan Hasil Belajar Siswa
Authors: Sulaiman Rizkariani , Mansyur Umar 
Published: January 2025

Penelitian ini bertujuan untuk untuk mengetahui apakah integrasi pembelajaran berdiferensiasi dan tahapan plan, do, dan see Lesson Study dapat meningkatkan hasil belajar Bahasa Inggris siswa sekolah menengah pertama. Metode penelitian yang digunakan adalah Penelitian Tindakan Kelas berbasis Lesson Study (PTKbLS) dengan pendekatan deskriptif kualitatif. Subjek penelitian adalah siswa kelas VIII-1 UPT SPF SMPN 23 Makassar yang berjumlah 32 orang. Penelitian dilaksanakan dalam tiga siklus yang melibatkan tahap perencanaan, pelaksanaan, observasi, dan refleksi. Hasil penelitian menunjukkan bahwa metode ini berhasil meningkatkan hasil belajar siswa secara bertahap. Pada siklus pertama, implementasi awal pembelajaran berdiferensiasi mulai memenuhi kebutuhan siswa, meskipun keterlibatan dan pemahaman terhadap unsur kebahasaan masih rendah dengan nilai rata – rata capaian indikator yaitu 2.9 dengan skala 5, pada siklus kedua, melalui penyesuaian materi dan metode, keterlibatan siswa meningkat, terutama dalam menyusun teks sederhana dan menggunakan ungkapan opini dengan nilai rata – rata capaian indikator yaitu 3.65. Siklus ketiga menunjukkan hasil optimalisasi, di mana siswa mampu menghasilkan karya kreatif, memahami struktur naratif, serta menunjukkan peningkatan kerja sama dan keterlibatan dalam kelompok dengan nilai rata – rata capaian indikator yaitu 4.65. Kesimpulan penelitian ini adalah bahwa integrasi pembelajaran berdiferensiasi dengan Lesson Study efektif dalam meningkatkan keterlibatan, kreativitas, dan hasil belajar siswa, sekaligus memperkuat pentingnya refleksi berkesinambungan untuk meningkatkan kualitas pembelajaran.
Measurement Report: Changes in ammonia emissions since the 18th century in south-eastern Europe inferred from an Elbrus (Caucasus, Russia) ice-core record
Authors: Legrand Michel , Vorobyev Mstislav , Bokuchava Daria , Kutuzov Stanislav , Plach Andreas , Stohl Andreas , Khairedinova Alexandra , Mikhalenko Vladimir , Vinogradova Maria , Eckhardt Sabine , Preunkert Susanne 
Published: January 2025

Abstract. Atmospheric ammonia (NH3) is a key transboundary air pollutant that contributes to the impacts of nitrogen and acidity on terrestrial ecosystems. Ammonia also contributes to the atmospheric aerosol that affects air quality. Emission inventories indicate that NH3 was predominantly emitted by agriculture over the 19th and 20th centuries but, up to now, these estimates have not been compared to long-term observations. To document past atmospheric NH3 pollution in south-eastern Europe, ammonium (NH4+) was analysed along an ice core extracted from Mount Elbrus in the Caucasus, Russia. The NH4+ ice-core record indicates a 3.5-fold increase in concentrations between 1750 and 1990 CE. Remaining moderate prior to 1950 CE, the increase then accelerated to reach a maximum in 1989 CE. Comparison between ice-core trends and estimated past emissions using state-of-the-art atmospheric transport modelling of submicron-scale aerosols (FLEXPART (FLEXible PARTicle dispersion) model) indicates good agreement with the course of estimated NH3 emissions from south-eastern Europe since ∼ 1750 CE, with the main contributions from south European Russia, Türkiye, Georgia, and Ukraine. Examination of ice deposited prior to 1850 CE, when agricultural activities remained limited, suggests an NH4+ ice concentration related to natural soil emissions representing ∼ 20 % of the 1980–2009 CE NH4+ level, a level mainly related to current agricultural emissions that almost completely outweigh biogenic emissions from natural soil. These findings on historical NH3 emission trends represent a significant contribution to the understanding of ammonia emissions in Europe over the last 250 years.
Atmospheric oxidation of 1,3-butadiene: influence of seed aerosol acidity and relative humidity on SOA composition and the production of air toxic compounds
Authors: Jaoui Mohammed , Nestorowicz Klara , Rudzinski Krzysztof J. , Lewandowski Michael , Kleindienst Tadeusz E. , Torres Julio , Bulska Ewa , Danikiewicz Witold , Szmigielski Rafal 
Published: January 2025

Abstract. This study investigated the effect of relative humidity (RH) on the chemical composition of gas and particle phases formed from the photooxidation of 1,3-butadiene (13BD) in the presence of NOx under acidified and non-acidified seed aerosol. The experiments were conducted in a 14.5 m3 smog chamber operated in a steady-state mode. Products were identified by high-performance liquid chromatography, gas chromatography–mass spectrometry, and ultrahigh-performance liquid chromatography coupled with high-resolution mass spectrometry. More than 50 oxygenated products were identified, including 33 oxygenated organics, 10 organosulfates (OSs), PAN, APAN, glyoxal, formaldehyde, and acrolein. Secondary organic aerosol (SOA) mass and reaction products formed depended on RH and on the acidity of the seed aerosol. Based on the Extended Aerosol Inorganics Model (E-AIM), the seed aerosol originated from the acidified and non-acidified solutions was found to exist under aqueous and solid phases, respectively. Although the terms “acidified” and “non-acidified” are true for the solutions from which the seeds were atomized, there are far more fundamental differences between the phase states in which species partition to or from (aqueous/solid), which considerably affects their partitioning and formation mechanisms. SOA mass and most SOA products (i) were higher under acidified seed conditions, where the aerosol particles were deliquescent, than under non-acidified seed conditions, where the aerosol particles did not contain any aqueous phase; (ii) increased with the acidity of the aerosol aqueous phase in the experiments under acidified seed conditions; and (iii) decreased with increasing RH. Glyceric acid, threitols, threonic acids, four dimers, three unknowns, and four organosulfates were among the main species measured under either acidified or non-acidified conditions across all RH levels. Total secondary organic carbon and carbon yield decreased with increasing RH under both acidified and non-acidified seed conditions. The photochemical reactivity of 13BD in our systems decreased with increasing RH and was faster under non-acidified than acidified seed conditions. To determine the contribution of 13BD products to ambient aerosol, we analyzed PM2.5 samples collected at three European monitoring stations located in Poland. The occurrence of several 13BD SOA products (e.g., glyceric acid, tartronic acid, threonic acid, tartaric acid, and OSs) in the field samples suggests that 13BD could contribute to ambient aerosol formation.
Spatial and temporal variability in sea surface temperatures and monsoon dynamics in the northwestern Arabian Sea during the last 43 kyr
Authors: Maier Jan , Burdanowitz Nicole , Schmiedl Gerhard , Gaye Birgit 
Published: January 2025

Abstract. In this study, we present the first well-dated, high-resolution alkenone-based sea surface temperature (SST) record from the northeastern Oman margin (Gulf of Oman) in the northwestern Arabian Sea. The SST reconstructions from core SL167 span the last 43 kyr and reveal temperature fluctuations of around 7 °C (ranging from 20.1 to 27.4 °C). Thus, this region has a higher sensitivity to climate variations compared to other core locations in the Arabian Sea and fills a gap in a previously unstudied region. SSTs were lowest during Heinrich event 4 (H4) and were comparatively low during H3, H2, the Younger Dryas, and the early and late Holocene. Comparatively higher SST occurred during some Dansgaard–Oeschger interstadials (D–O 11 and D–O 4–9), the Bølling–Allerød (B–A), and the mid-Holocene. The SST was predominantly influenced by the SW monsoon during warmer periods and the NE monsoon during cold intervals. Importantly, the Last Glacial Maximum stands out owing to the absence of intense cooling at the core site which clearly diverges from previously known SST patterns. We speculate that this pattern was caused by stronger NW winds and an eastward shift in the SST gradient in the Gulf of Oman, resulting in a brief and moderate cooling period. Strong SW winds during the early Holocene transported cold-water masses from the Oman upwelling into the Gulf of Oman, lowering SSTs. A rapid temperature increase of approx. 2 °C during the mid-Holocene was likely induced by the weakening of SW winds and an abrupt eastward shift in the SST gradient.
Seismic Protection of Multistorey Buildings Through Base Isolation Techniques
Authors: Ali Abdulraheem Abdullah Ali  
Published: January 2025

This study deal with the performance of base isolation techniques in reducing the seismic response of multi-storey buildings. For symmetric and asymmetric building models by using finite element method in ETABS v21, the response of these models under seismic load using nonlinear time analysis methods was investigated. The study showed that the use of base isolation gives an increased the core fundamental time period, increasing from 0.75 seconds to 2.015 seconds for symmetric buildings, and from 0.74 seconds to 1.93 seconds for asymmetric buildings. this result helps avoid the impact of earth quake that maybe led to resonance and collapse the structures. The results for the displacement in isolated buildings was bigger than that of fixed ones, so flexibility and higher ability to reduce seismic impact. The displacement for symmetric buildings was about 50 mm in the isolated case, compared to 30 mm in the fixed case. As for drift, it increased to 0.015 in isolated buildings compared to 0.01 in fixed buildings, led to a good distribution for stresses in different storey. For Shear forces reduce by 50% in isolated buildings, reaching about 1500 kN compared to 3000 kN in fixed buildings, and overturning moment also decreased to about 20,000 kNm in isolated buildings, compared to 40,000 kNm in fixed buildings, which improve the stability of structures and decrease the possibility of damages. the above results proves that base isolation technics offer a good reduction in the seismic impact of structures, which increase the safety and stability of these structures under earthquake loads. The research recommends to using base isolation systems in seismic zones and provide a new design standards based on use of base isolation to have a good improve the ability of structures to resist seismic loads. In general, this study gives a strong confirmation of the fund of using base isolation systems to provide a good resistance for the impact of seismic of multi-storey buildings, making a better in contribution for protecting lives and structures.
A Note on Linear Operator Defined by Lambda Function for Certain Subclass of Uniformly Convex Functions
Authors: G. Swapna  
Published: January 2025

In this manuscript, we initiate a novel Categories of consistently curved functions with unconstructive coefficients defined by lambda operator. We obtain the coefficient limits, tremendous points and radii of Celestial resemblance as well as roundness for functions belonging to the class. Moreover, incomplete sums of functions in the class are careful with pointed lower bounds for the ratios of real part of to and are determined and also discussed neighbourhood results for this group.
Active Filter Based Harmonics Mitigation in Grid-Connected PV Systems
Authors: Vijaykumar S. Kamble  
Published: January 2025

One essential component of human advancement is energy. Fossil fuels have been the primary energy source for many centuries, but as businesses and society grow, so does the demand for energy resources. However, fossil fuels produce emissions of greenhouse gases that cause climate change in addition to being depletable. Therefore, humanity must hasten the shift to a low-carbon economy due to the predictable rise in energy consumption and the depletion of fossil fuels, which necessitates the search for clean and renewable alternative energies. These consist of solar, geothermal, biomass, wind, and hydropower. Our planet's cleanest and most plentiful energy source is solar energy, which is also limitless.
Solar energy, with its immense potential, is now a major subject of intense research and swift advancement, particularly in recent years. Rooftop photovoltaic (PV) systems are arising as a popular replacement for electricity generation. Installing and connecting PV systems to the electrical grid is now simpler thanks to advancements in power electronic devices. Nonetheless, ensuring power quality is essential when integrating PV systems with the power grid. Among power quality issues, harmonics pose a substantial difficulty because of the reliance on various power electronic components in PV systems.
This paper focuses on designing and evaluating the performance of a rooftop solar system connected to power grid in a solar-rich location, using simulation tools to address harmonic mitigation. By successfully reducing harmonics in the grid-connected PV system, it seeks to improve power quality.
The Stochastic Analysis of a Diabetic Person's Blood Glucose Levels During Treatment
Authors: T.Mahalakshmi  
Published: January 2025

This paper assumes a diabetic person with n stages and the absorption stage is a controlled stage. Blood glucose level of a patient with a damaged pancreas may pass through the fair control stage, poor control stage, and very poor control stage several times before it reaches the controlled stage during the treatment. Blood glucose level can identify from any one of the n stages and it can be moved to other stages easily. This may form number of cycles of fair control stage to poor control stage to fair control stage based on the changes in the blood glucose level of the patient. This paper provides two types of models. In model 1, r to s to r cycle, and in model 2 u to v to w to u cycle. This paper obtains the probability generating function of the number of cycles before the glucose level is controlled and their numerical illustrations are provided.
Introduction: In model 1,Blood glucose level of a patient with damaged pancreas may pass through fair control level (say stage r) and poor control level (say stage s) several times, between them before the glucose level reaches controlled level due to the treatment. This may form number of cycles of fair control level to poor control level to fair control level based on the changes in the blood glucose level of the patient. This is taken as one r-s-r cycle. In model 2, Blood glucose level of a patient with damaged pancreas may pass through fair control level (say stage u) ,poor control level (say stage v)and very poor control level (say stage w) several times, between them before the glucose level reaches controlled level due to the treatment. This may form number of cycles of fair control level to poor control level to very poor control level to fair control level based on the changes in the blood glucose level of the patient. This is taken as one u-v-w-u cycle. For more details on such deficiency and disorder, one may refer to [3], [4], [5]. Using the Mathematical approach given in [1], [8], [9], and [10], we study the case of a diabetic person.
Results: The results of model 1 in section 2 and model 2 in section 3. In this sections are derive the probability generating function, mean and variance of number of cycles occur in our model during treatment time.
Conclusions: In Model 1, if a diabetic person start the treatment in fair control stage then the person can reduce the expected value of number of r-s-r cycle. In Model 2, when the transition probability of controlled blood glucose level (absorption stage) is high, the expected value of r-s-r cycle is decrease
New Aspects of Fourth-order Differential Subordination and Superordination via Meromorphic Multivalent Functions with a Novel Integral Operator
Authors: Sara Falih Makttoof  
Published: January 2025

In this paper , by using a new integral operator of meromorphic multivalent functions, we obtain some applications for highr-order (fourth- order) differential subordination and superordination result ,Also we obtain several sandwich-type results..
An Enhanced Euler's Methods Based on Heronian and Cubic Means for Numerically Solving Fuzzy Differential Equations
Authors: A. Hari Ganesh  
Published: January 2025

Introduction: In recent years, fuzzy differential equations have become an increasingly popular topic. In engineering and scientific fields, the study of numerical solutions for fuzzy differential equations is crucial. For the purpose of solving fuzzy initial value problems, several numerical approaches have been devised.
Objectives: This attempt aims to create enhanced Euler's methods for numerically solving fuzzy differential equations to generate approximate solutions for situations too complex to be expressed precisely.
Methods: Euler's Method, Modified Euler's Method, and Improved Euler's Method using Heronian Mean and Cubic Mean are some of the enhanced Euler's techniques that this research seeks to provide. Utilising Zadeh's extension principle for fuzzy sets, we adapt Euler's traditional methods to tackle this dependency issue inside a fuzzy framework.
Results: A numerical example contrasting the proposed methodologies with the conventional Euler's Method is presented. The efficacy of the proposed approaches is demonstrated by numerical solutions and their geometric representations. Moreover, the numerical example illustrates the satisfactory precision of the upgraded Euler methods.
Conclusion: This research proposal aims to address first-order differential equations through two innovative methods: the Heronian Mean and Cubic Mean of enhanced Euler's approaches for fuzzy primary value. The proposed methods produce excellent outcomes and are efficient, precise, and user-friendly.
Comparing Machine Learning Algorithms for Predicting Cryptocurrency Prices: An Analytical Study
Authors: Pappula Ashok  
Published: January 2025

Introduction: Due to advances in financial technology, cryptocurrency is a new asset with outstanding academic potential. Price volatility and dynamism make Cryptocurrency prediction difficult.
Objectives: This paper presents three Recurrent Neural Network (RNN) methods for predicting Bitcoin (BTC), Ethereum (ETH), and Binance Coin (BNB) prices to predict the price of Cryptocurrency.
Methods: This study uses two Machine learning algorithms, Random Forest (RF) and Gradient Boosting (GB), to predict the prices of Bitcoin (BTC), Binance Coin (BNB), and Ethereum. (ETH)
Results: Two machine learning algorithms predict BTC, ETH, and BNB prices. The model's accuracy was assessed using performance metrics. We followed this by comparing the actual and expected prices of the models. The GB algorithm surpassed its competitor, attaining MAPE values of 2.884169154 for BNB3.612352523 for ETH and 4.593971246 for BTC.
Conclusion: The prices of cryptocurrency swing regularly. Since the cryptocurrency market is nonlinear, time series data is challenging to evaluate when making price predictions. Machine learning algorithms are used in many financial and economic activities. Investors, researchers, and professionals need cryptocurrency value forecasts. In this study, GB and RF algorithms are used to predict the prices of BTC, ETH, and BNB