bluuebunny/crossref_metadata_2025_split huggingface dataset:
Desencanto pela docência no Brasil: desafio à formação inicial de professores
Authors: Paniago Rosenilde Nogueira 
Published: May 2023

O objetivo central deste artigo, que faz parte de pesquisa de pós-doutorado, é problematizar o cenário da formação inicial de professores no Brasil, à luz de outros contextos, com destaque a experiência finlandesa, de forma a elucidar alguns aspectos do fenômeno da falta de atração e desencanto dos jovens concluintes do ensino médio sobre a profissão docente, que ressoam diretamente no trabalho dos formadores de professores (FP), bem como nos processos educativos da educação básica. A pesquisa baseou-se na abordagem qualitativa, sendo adotado, como procedimento de recolha de dados, narrativas de cinco FP, análise documental e revisão de literatura. Os resultados sinalizam que a ausência de valorização social e profissional dos professores da educação básica provoca marcas nefastas, perversas no sistema de educação brasileiro e impacta diretamente na formação inicial de professores, porquanto, os jovens concluintes do ensino médio estão cada vez mais desencantados pela profissão docente no Brasil, pelo que urge políticas educacionais emergentes de valorização da categoria docente.
PENGARUH PERHATIAN ORANG TUA TERHADAP MINAT BELAJAR SISWA JURUSAN AKUNTANSI
Authors: Sibarani Blasius Erik 
Published: April 2023

Permasalahan dalam penelitian ini adalah rendahnya minat belajar pada siswa kelas X Jurusan akunatansi SMK Negeri 2 Balige dikarenakan rendahnya perhatian orang tua. Tujuan penelitian ini adalah untuk mengetahui pengaruh perhatian orang tua terhadap minat belajar siswa kelas X Jurusan Akuntansi SMK Negeri 2 Balige. Penelitian ini dilaksanakan di SMK Negeri 2 Balige. Populasi dalam penelitian ini adalah seluruh siswa kelas X Jurusan Akuntansi SMK Negeri 2 Balige yang berjumlah 107 siswa. Teknik pengambilan sampel yaitu dengan total sampling sehingga jumlah sampel yang digunakan yaitu sebanyak 107 responden. Data yang diperoleh dianalisis dengan menggunakan teknik analisis PLS (Partial Least Square) melalui software SmartPLS. Teknik pengumpulan data dalam penelitian ini berupa kuesioner. Data yang diperoleh dianalisis dengan menggunakan uji PLS Algoritma, PLS Bootstrapping dan pengujian hipotesis dengan menggunakan Uji-t. Hasil analisis yang diperoleh rata-rata direfleksikan diatas 0,5 dan indikator outer loading lebih tinggi dari 0,6. Data dari perhitungan untuk hipotesis penelitian dimana perhatian orang tua berpengaruh terhadap minat belajar siswa diperoleh dari nilai p-value sebesar 0,000 sedangkan taraf nyata atau α sebesar 0,05. Dengan demikian dapat disimpulkan bahwa perhatian orang tua berpengaruh terhadap minat belajar siswa.
PENGEMBANGAN MEDIA EDUKASI BERBASIS ANDROID UNTUK MENINGKATKAN KEMAMPUAN CALISTUNG SISWA KELAS 2 SD
Authors: Hanifah Nurjanah  , Isrok'atun  , Rana Gustian Nugraha  
Published: April 2023

Semakin pesatnya perkembangan zaman, arus globalisasi pun kian mempengaruhi segala aspek pada setiap sendi-sendi kehidupan manusia, utamanya pada dunia pendidikan. Pasalnya perkembangan IPTEK telah memiliki peran yang sangat penting terhadap proses belajar siswa di sekolah . Maka dari itu, penelitian dilakukan guna menjawab tantangan dalam pemahaman literasi digital yang masih rendah dengan fokus peningkatan kemampuan calistung. Penelitian menggunakan metode ADDIE dengan analisis data deskriptif-kuantitatif. Subjek ujicoba penelitian dilakukan kepada siswa sekolah dasar kelas II SDN Cimekar dan SDN Mekarwangi yang berada di Kecamatan Cileunyi, Kabupaten Bandung. Data dikumpulkan melalui tahap observasi lapangan, tes tulis berupa pemberian soal pretest & posttest pada siswa serta hak angket pada tokoh ahli. Pada penelitian ini menghasilkan nilai persentase 92.86% dengan kategori yang sangat baik oleh dosen ahli media serta nilai presentase 90% yang memiliki kategori baik walau revisi disampaikan oleh ahli materi pada tampilan aplikasi dan kosakata materi. Soal pretest & posttest mendapatkan nilai interpretasi “cukup” serta semua soal yang diujikan dinyatakan valid. Penelitian ini menggunakan metode pengujian analisis statistik non-parametrik. Lebih tepatnya yakni menggunakan uji korelasi rank spearman serta uji Wilcoxon yang diolah menggunakan software SPSS Versi 24. Hasil penelitian menunjukan bahwa Media edukasi berbasis android berpengaruh positif dan signifikan terhadap peningkatan kemampuan calistung kelas 2 serta Hasil uji coba pretest menunjukkan rata-rata 68.18 dan hasil uji coba posttest menunjukkan rata-rata 80.91. Sehingga, dapat disimpulkan bahwa media yang dikembangan layak digunakan sebagai sarana edukasi serta dapat meningkatkan kemampuan calistung dalam kompetensi belajar para siswa.
Chemical Elements Concentration, Variations in Mineral Composition, and Current Rate of Sedimentation in Sapropel Deposits of Small Lakes in the Taiga Zone of Southern Siberia
Authors: Strakhovenko V.D. , Ovdina E.A. , Malov V.I. , Malov G.I. 
Published: April 2023

Abstract
—We studied the bottom sediments of lake systems located in the taiga landscape of Siberia. In the south of Western Siberia, there are 11 lakes in the subzone of the south taiga and 9 lakes in the subtaiga subzone. On the territory of the south of Eastern Siberia in the taiga zone there are 10 lakes on the southern coast of Lake Baikal, 5 lakes on its east coast and 6 lakes are located on the territory of the national park “Alkhanai” in Transbaikalia. Studies of the chemical composition of water, soil, and sediment samples were conducted at the Analytical Center for Multi-Elemental and Isotope Research SB RAS, Novosibirsk. The use of a complex of modern analytical methods in the study of the same lake samples made it possible to obtain more reliable information (1861 samples of bottom sediment were studied). Quartz and feldspars of pelitic dimension dominate in the mineral composition of the terrigenous fraction, organic matter and authigenic minerals (opal, pyrite, illite and sometimes calcite) are added to them during the bottom sediments formation. The absolute contents of the studied elements in the bottom sediments of all lakes are lower than their concentrations in the upper continental crust and sedimentary rocks of the Russian Plate, with the exception of Si, Hg, Cd. In the lakes of the subtaiga of the south of Western Siberia, an exception was established for Ca in the bottom sediments of which carbonates predominate. Contents variations of a number of elements in the bottom sediments of taiga lakes in different regions do not significantly differ. The dispersion of their concentrations between lakes with a total catchment area and lakes from different regions are comparable (Ca, Sr, Al, Mn, Fe, Cd, Hg, etc.). The current sedimentation rate in natural occurrence in the lakes of the taiga zone (southern Siberia) vary from 1.1 to 2.9 mm/year. Moreover, it is comparable to the current sedimentation rate in the lakes of the forest-steppe and steppe zones of south of Western Siberia.
Ordovician Stratigraphy, Facies, Deposition Environments, Faunas, Ichnofossils, and Paleogeography of Central Tyva
Authors: Sennikov N.V. 
Published: April 2023

Abstract
—A large regional-scale Ordovician continental basin has been revealed for the first time in Siberia. Sedimentary structures in the Ordovician rocks of Tyva represent deposition environments of rivers, oxbow lakes, dunes, river deltas, tidal, and coastal plains. Ichnofossils record a succession from freshwater (limnic-fluvial) to deltaic and tidal facies. Integrated studies of sedimentary rocks from Central Tyva show that they were deposited on a coastal plain within a large river delta. The Central Tyva Ordovician basin was similar to the coeval basins of the Gondwanian continents in the style of clastic and redbed deposition.
Pseudo-classification of natural elements and atomic total energy prediction
Authors: Belahcene Brahim 
Published: May 2023

Abstract

This paper presents an artificial classification and atomic energy correlation analysis of the periodic table. The choice of data mining method is due to its robustness, which can explore intrinsic or hidden relationships between chemical elements and their properties. The Mendeleev table is probably the earliest example of the data analysis technique in materials science. However, the classical periodic table represents the arrangement of chemical elements based on specific periodicities that have the problem of continuity of properties for some chemical elements. In this research, we used one of the unsupervised data mining methods (Principal Component Analysis) to investigate the chemical elements based on all the ready properties. Our objective is to make a pseudo-classification of natural and synthetic chemical elements based on their physicochemical and energy-available properties. The results revealed the effectiveness of the data mining method in appreciating the relationships between the variables and properties that offer a new way of viewing a Mendeleev table. The last step of this work highlights the importance of predictive polynomial that allows the scientific community to make atomic total energy predictions for each natural periodic element, from helium to lawrencium.
Carbon footprint of reinforced concrete columns with and without supplementary cementitious materials
Authors: CORDOBA Gisela , IRASSAR Edgardo Fabián 
Published: May 2023

Abstract

Purpose
The construction sector consumes a large quantity of natural resources and generates a great deal of carbon dioxide emissions and wastes, affecting its sustainability. Replacing Portland cement with supplementary cementitious materials (SCM) could reduce the environmental impact. This paper examines the carbon footprint of reinforced concrete columns. It focuses on the influence of increasing the steel cross-section and reducing the clinker factor by replacing Portland cement with SCM.
Methods
Eighteen concrete mixtures were selected and classified according to the specified compressive strength at 28 days of curing using binary and ternary blended cements. Columns were designed consisting of such concretes and employing different reinforcing steel cross-sections. The Life Cycle Assessment was conducted on ISO 14040 standard. The embodied carbon dioxide (ECO2) of the reinforced concrete columns was determined.
Results
The results show that the higher the compressive strength of concrete, the lower the carbon footprint of the columns. Concretes with a high volume of SCM replacement and low compressive strength at 28 days do not show the lowest carbon footprint since it requires a greater volume of material to withstand the bearing capacity. The carbon footprint of the columns increases as the steel section increases. Furthermore, increasing the compressive strength of concrete is less beneficial for reducing the carbon footprint of the column when the steel cross-section is increased.
Conclusions
Portland cement is the component material of concrete that contributes the most to the concrete carbon footprint, and steel has the highest ECO2/ton. Replacing Portland cement with SCM reduces ECO2 at one point of the life cycle and may increase the material volume and ECO2 at another. The lowest carbon footprint of compressed reinforced concrete elements is achieved for the higher-strength concretes and the minimum steel cross-section.
An Overview of Publication Patterns in India's Agricultural Research Community: Journals, Open Access, and Preprints
Authors: Gutam Sridhar , Das Susmita 
Published: May 2023

Abstract
In April and May 2020, a survey was conducted to gather opinions and experiences regarding publications and preprints. The majority of respondents were from the agricultural science field in India. The survey revealed that the 'Journal's Impact Factor' was deemed the most important factor when choosing a suitable journal for publication. When publishing articles in Open Access, most respondents had paid Article Processing Charges, funded by various sources such as project funds, institutional support, and personal funds. While respondents expressed trust in preprints and favored institutional repositories as their preprint platform, the main drivers for sharing preprints were increased indexing, citation and visibility, and inclusion in assessments. However, the survey found that the majority of respondents had never cited preprints, nor had their preprints been cited, indicating a need for increased advocacy for preprints in India.
Microglia-derived exosomal miR-302a-3p suppresses ferroptosis to alleviate cerebral ischemia/reperfusion injury by inhibiting neuronal ferritinophagy via regulating the Keap1/Nrf2 axis Running title: The effect of BV2-Exo on cerebral I/R injury
Authors: Yu Zhengtao , Wang Lei , Zhuo Yi , Li Jiameng , Li You , Jiang Junwen , Zhang Jikun , Wang Liu , Xia Ying 
Published: May 2023

Abstract
Recently, the protective effect of exosomes on ischemia/reperfusion (I/R) injury has become a research hotspot. The purpose of this study was to explore the therapeutic potential of microglia-derived exosomes on cerebral I/R injury. BV2 cell-derived exosomes (BV2-Exo) were extracted and characterized. The cerebral I/R model was constructed in vivo and intervened by using exosomes loaded with miR-302a-3p. The oxygen and glucose deprivation (OGD) model was constructed in vitro to simulate cerebral I/R injury. The binding sites of miR-302a-3p to Keap1 were analyzed by bioinformatics prediction and confirmed by dual-luciferase reporter assay. A study of whether exosomal miR-302a-3p affected cerebral I/R injury via the Keap1/Nrf2 axis was carried out by overexpression of keap1 (oe-keap1). Experimental results in vivo showed exosomal miR-302a-3p significantly repaired the cognitive impairment and suppressed the cell death of hippocampal neurons induced by cerebral I/R injury. Besides, exosomal miR-302a-3p inhibited the expression of ferroptosis-related proteins NCOA4, PTGS2, and p53 in cerebral I/R-treated mice. Bioinformatics prediction and double-luciferase reporter assay showed that Keap1 was the direct downstream target of miR-302a-3p. Experiment results in vitro showed that oe-Keap1 reversed the therapeutic effect of exosomal miR-302a-3p on cerebral I/R injury via the Keap1/Nrf2 axis, promoting the high expression of NCOA4, PTGS2, and p53 and the increase of Fe2+, MDA and ROS levels. These results demonstrated that microglia-exosomal miR-302a-3p suppressed ferroptosis to alleviate cerebral I/R injury by inhibiting neuronal ferritinophagy via regulating the Keap1/Nrf2 axis.
An experimental and numerical approach for thermal performance investigation of solar flat plate collector
Authors: Singh Shiva , Mausam Kuwar , Ghosh Subrata Kumar , Tiwari Arun Kumar 
Published: May 2023

Abstract
The present work aims to investigate thermal performance of a solar flat plate collector using water and Cu-MWCNTs nanoparticle-based hybrid nanofluid both experimentally and numerically. X-Ray diffraction, FESEM with EDAX mapping were performed to characterize nanoparticles. The experimental setup was developed for thermal performance of FPC varying flow rates (0.5, 1.0, 1.5 lpm), inclination angle (25°, 30°, 35°, 40°, 45°), volume concentration (0%, 0.1%, 0.2%, 0.3%, 0.4%) and intensity (400 W/m2). The 3D numerical model having similar geometry as of actual flat plate collector was modeled using Fluents 15.0. The SST turbulence model was used to capture the chaotic changes in the velocity, temperature, and pressure fields. The experimental findings revealed 79.74% improvement in instantaneous efficiency at 0.4% vol., 1.5 lpm, 45° inclination angle, and 400 W/m2 intensity. The maximum deviation between the experimental and numerically calculated outlet and inlet temperature difference (ΔT) was 3.5% using a hybrid nanofluid. When numerical data are compared, instantaneous efficiency and heat gain both deviate by 2.8% and 2.9% from experimental values. Because of the numerical simulation analysis, it is possible to observe the temperature and flow pattern in flat plate collectors using nanofluids under a set of operating conditions, which would not be possible without the simulation.
What does the future hold for a thermophilus and widely introduced gecko, Tarentola mauritanica (Squamata: Phyllodactylidae)?
Authors: Rato Catarina , Silva-Rocha Iolanda , Sillero Neftali 
Published: May 2023

Abstract
The continuous growing and movement of the human population is increasing the frequency in translocating species from their native ranges to novel environments. However, biological invasions offer a rare opportunity to investigate how species are able to colonise and adapt to new conditions. In that sense, Ecological Niche Models (ENMs) can be a powerful tool to predict where invasive species will spread over the next decades, although they depend heavily on climatic niche conservatism between native and exotic ranges. To reduce these uncertainties, ENMs can be refined by accounting for dispersal constraints. The common wall gecko, Tarentola mauritanica is a native and widespread Mediterranean lizard that has been introduced across different tropical and sub-tropical regions. In this study, we aim to predict the potential and future distribution of T. mauritanica geckos using correlative models, its potential colonization regions under a dispersal model, and the niche overlap between native and introduced populations. The correlative models predict that the most suitable geographic areas for this gecko correspond to Mediterranean-type ecosystems, such as California, central Chile, the Cape Region of South Africa, around the Caspian Sea, south-eastern Asia, and south-western and southern Australia. The species distribution models projected to 2061–2080, forecast that the range of T. mauritanica is likely to shift towards northern latitudes but, surprisingly, not to expand. According to the dispersal models, T. mauritanica will be able to colonise a similar geographic range compared to the one obtained with the correlative models for the future. Finally, the niche overlap results demonstrate that T. mauritanica’s realised niche has not been conserved over space, as the naturalised climatic niche of the introduced populations differs significantly from its native one. The latter results suggest that there has been no climatic niche conservatism during the several introductions of T. mauritanica, and that this species seems to be able to cope with novel and more humid environments, typical from the tropics.
Extreme Weather and hydropower System: Production, Resilience, and Sustainability
Authors: sharrab Yousef , El-shebli Marwa , Eljinini Mohammad , Al-Fraihat Dimah 
Published: May 2023

Abstract

This paper discusses the increasing demand for energy due to population growth and civilization's rapid development and the negative impacts of using fossil fuels to generate energy, including greenhouse gas emissions and climate change. It highlights the vulnerability of the energy industry to climate change and its negative consequences on people's health. Developing countries have implemented plans to generate secure electric energy through renewable energy resources (RER) and have pledged to achieve net-zero emissions. The paper presents hydropower as a reliable alternative to fossil fuels and discusses its potential in reducing greenhouse gas emissions and decarbonizing the energy system. It also highlights the impact of climate change on hydropower and the need for global modeling of social, economic, and environmental aspects to provide sustainable RER. The paper provides evidence to support the claims made and highlights the significance of reducing greenhouse gas emissions to mitigate the effects of climate change on the energy industry and the environment.
Learning Reservoir Dynamics with Temporal Self-Modulation
Authors: Sakemi Yusuke , Nobukawa Sou , Matsuki Toshitaka , Takashi MORIE , Aihara Kazuyuki 
Published: May 2023

Abstract
Reservoir computing (RC) can efficiently process time-series data by transferring the input signal to randomly connected recurrent neural networks (RNNs), which are referred to as a reservoir. The high-dimensional representation of time-series data in the reservoir significantly simplifies subsequent learning tasks.
Although this simple architecture allows fast learning and facile physical implementation, the learning performance is inferior to that of other state-of-the-art RNN models. In this study, to improve the learning ability of RC, we propose self-modulated RC (SM-RC) that extends RC by adding a self-modulation mechanism.
We demonstrated that SM-RC can perform attention tasks where input information is retained or discarded depending on the input signal. We also found that a chaotic state emerged as a result of learning in SM-RC. Furthermore, SM-RC significantly outperformed RC in NARMA and Lorentz model tasks. Because the SM-RC architecture only requires two additional gates, it is physically implementable as RC, thereby providing a new direction for realizing edge AI.
Effect of straightness tolerance on unbalanced response of flexible shaft passing through critical speed
Authors: Mousavi S.M.R. , Firouz-Abadi R.D. , Mehralian Fahimeh , Roknabadi M. 
Published: May 2023

Abstract
Since the more destruction in rotating machinery occurs during start up or run down, the main purpose of this study is to investigate the influences of shaft bow coupling with unbalance fault on the rotor response for passing through critical speeds. The Finite element model is developed for a more realistic analysis. The Newmark-β method to solve the nonlinear lateral vibration of rotor-bearing systems is approached and the effects of various parameters including shaft bow, unbalanced mass and support parameters are shown. The results illustrate the crucial role of shaft bow when it is coupled with unbalance fault in phase of each other for passing through critical speed. As a result, in order to bring a rotor up to speed over the critical one, the source of energy can only grow the amplitude of vibration instead of angular velocity.
Exploration of saturated transport of ion concentration differences in C-S-H channels
Authors: Yu Jiao , Li Mengmeng , Jin Zuquan 
Published: May 2023

Abstract
Understanding the diffusion behavior of solutions containing aggressive ions in saturated C-S-H nanopores is of significant importance. This simulation provides unprecedented microscopic images that reproduce the transport of solutions in saturated C-S-H channels based on molecular dynamics. Specifically, we show that the diffusion behavior of aggressive ions is hindered in saturated pore channels compared to unsaturated transport processes, leading to their reduced permeability. Due to the electrical double layers effect, The NaCl solution invasion in C-S-H nanopores is faster compared to the overflow of aqueous solutions. The hydration shells of anions and cations undergo different changes during the intrusion of ions into the C-S-H nanopores. For chloride ions with larger hydration shell radius, the adsorption capacity of the anion is significantly weakened with increasing pore size. While the hydration shell of sodium ions is more derived from the water molecules in the NaCl and is more easily hindered by the overflow of the aqueous solution in the saturated nanopore.