bluuebunny/crossref_metadata_2025 huggingface dataset:
Deciphering metabolite profiling in grafted Solanum nigrum: A comprehensive GC-MS and FTIR analysis
Authors: Garnepudi Sneha Leela , Pugalendhi L. , Sankari A. , Devi A. Usha Nandhini , Raveendran M. , Kalarani M.K.
Published: January 2024

Vegetable grafting plays a significant role in modern agricultural practices, effectively managing abiotic and biotic stresses. Additionally, it offers the advantage of enhancing the phenotypic traits of the scion. This technique has gained widespread acceptance in commercial cultivation, particularly in crops like tomato, watermelon, melon, eggplant, etc., but has not been reported in Solanum nigrum. The appeal lies in its swiftness compared to the traditional method of breeding vegetables with improved environmental stress tolerance. This study focused on identifying and studying the components present in the leaves and fruits of both grafted and ungrafted Solanum nigrum. The GC-MS analysis unveiled a multitude of bioactive compounds, some of which are well-known antioxidants and possess anti-inflammatory properties. These beneficial attributes make them potentially valuable for promoting health and well-being. In addition, Fourier-Transform Infrared Spectroscopy (FTIR) was employed to identify functional groups in the methanolic extracts. The FTIR findings confirmed the existence of diverse functional groups, such as alkanes, alkynes, carboxylic acids, aldehydes, and nitriles, within the selected grafted Solanum nigrum samples. The research outcomes suggest that the extracts could be valuable in managing fungal infections in crops, which may contribute to the successful grafting of Solanum nigrum onto wild rootstocks. The presence of bioactive compounds with antifungal properties in the extracts might enhance disease resistance, making a successful grafting process a viable solution for improved and extended production. This underscores the critical necessity for continued research, highlighting its potential benefits to various domains, including medicine and nutrition.
SOSIALISASI MENABUNG SEJAK DINI PADA MURID TPA MASJID DARUL FIKRI DESA SUKANAGARA
Authors: Fitri Arina Faizah  , Lina Marlina Susana  , Muhammad Nazaruddin Azfa Arifin  , Athian Fadly Zaenal
Published: January 2024

Pada semester 2022/2023 mendatang, inisiator bersama tim pengabdian masyarakat dari program studi Ekonomi Syariah dan Teknik Industri akan melakukan kegiatan penyuluhan kepada para santri TPA dan Masjid Darul Fikri di RW.08 Desa Sukanagara, Soreang, Kabupaten Bandung, Jawa Barat. Fokus dari kegiatan ini adalah untuk meningkatkan kesadaran menabung sejak dini melalui sesi edukasi. Tujuannya adalah untuk menginspirasi anak-anak dengan memberikan pengetahuan dan pemahaman tentang pentingnya menabung untuk persiapan masa depan. Menumbuhkan kebiasaan menabung sejak usia dini dianggap penting untuk pengembangan karakter anak usia dini. Mengingat tahap perkembangan anak yang masih dalam masa pertumbuhan, menanamkan budaya menabung akan sangat berdampak. Para peserta diharapkan dapat memahami manfaat menabung untuk kepentingan mereka dimasa depan. kegiatan ini bertujuan untuk memperkuat kesadaran menabung dan menggalang dukungan masyarakat dalam mengaplikasikan pemahaman untuk masa depan terhadap konsep menabung. 
Kata kunci: Menabung Sejak Dini, Pengabdian Masyarakat.
Translation Studies Concepts
Authors: Flynn Peter
Published: January 2024

In an attempt to address the title, this article will follow two lines of inquiry. It firstly will trace the development of several key concepts in Translation Studies and ethnography and show how these concepts have shifted in terms of interpretation and scope over time depending on the broader contexts in which they were used. In each case, the concepts were derived from observation of and reflection on translation. The paper will also point to theorization in anthropology (perhaps in contrast to philology) and how it stems directly from ethnographic observation and study in which translation plays an important role. In doing so, the paper will argue that these local insights have considerable staying power and theoretical reach, precisely because they are grounded in the lived experience that sustains them, which perhaps will make them adaptable in other places and situations far beyond their ‘origin’ or the place where the seed of insight germinated. This is considered important in relation to the theme of the special issue, namely community interpreting and translation in the Africancontext, as many concepts emerge from studies of communities and their cultural contexts. Secondly, the paper draws on and discusses ethnographic data of translational practices in a social housing scheme to shed new light on intralingual translation as conceptualized by Jakobson (1959) and set out in a model byKorning Zethsen (2009). The data also illustrates how the various elements of intralingual translation belong in a broader economy of exchanges in the housing scheme.
The Effect of Tax Collection, Tax Audit, and Taxpayer Compliance on Tax Revenue at the Primary Tax Service Office in Manado
Authors: TENDEAN Geneva Z. O. , PANGERAPAN Sonny , SARDJONO Olivia Y. M.
Published: January 2024

This study aims to determine the effect of tax collection, tax audit, and taxpayer compliance on tax revenue at the Primary Tax Service Office in Manado for 2018-2022. Tax collection is measured by the number of Tax Collection Letters (STP) for corporate taxpayers, tax audits are measured by the number of Notice of Tax Assessments (SKP) for corporate taxpayers, and taxpayer compliance is measured by the ratio of the number of corporate tax returns received divided by the number of corporate taxpayers at the Manado Primary Tax Service Office. This type of research is quantitative research using secondary data. The sampling technique used was total sampling, and resulted in 60 research samples. The data analysis technique in this study is multiple linear regression using the SPSS 26 program. The results showed that tax collection does not affect tax revenue, tax audits positively affect tax revenue, and taxpayer compliance positively affects tax revenue.
Evaluation of the Implementation of Systems and Procedures for Spending Cash Supply at the Regional Revenue Agency of Bitung City
Authors: ARRAHMA Annisa Almiftah , AFFANDI Dhullo , WEKU Priscilia
Published: January 2024

Tax Good governance is reflected, among other things, in transparent and accountable government financial management. This study aims to evaluate the systems and procedures for disbursing cash at the Regional Revenue Agency of the city of Bitung, whether they refer to government regulation no. 12 of 2019 and what is the procedure for disbursing cash in stock money at the Regional Revenue Agency for the city of Bitung. This type of qualitative research uses a descriptive analysis method with a case study approach. The results of research on systems and procedures for spending money at the Regional Revenue Agency of Bitung City are by Government Regulation no. 12 of 2019, systems and procedures for disbursing cash (UP) have been supported by related documents such as Payment Orders (SPP), Payment Orders (SPM), and Funds Disbursement Orders (SP2D), and transaction documents to complete the inventory of cash procedures. The system for issuing Warrants for Payment of Supply Money (SPM-UP) at BAPENDA Bitung City, especially in preparing SPM-UP documents and examining supporting documents, their application is by the characteristics of regional financial management according to Government Regulation Number 12 of 2019. However, in practice, the issuance process is inappropriate because the operator is still handling it, and the PPK SKPD must carry out this task.
Compact Symmetric Objects. III. Evolution of the High-luminosity Branch and a Possible Connection with Tidal Disruption Events
Authors: Readhead A. C. S , Ravi V. , Blandford R. D. , Sullivan A. G. , Somalwar J. , Begelman M. C. , Birkinshaw M. , Liodakis I. , Lister M. L. , Pearson T. J. , Taylor G. B. , Wilkinson P. N. , Globus N. , Kiehlmann S. , Lawrence C. R. , Murphy D. , O’Neill S. , Pavlidou V. , Sheldahl E. , Siemiginowska A. , Tassis K.
Published: January 2024

We use a sample of 54 compact symmetric objects (CSOs) to confirm that there are two unrelated CSO classes: an edge-dimmed, low-luminosity class (CSO 1), and an edge-brightened, high-luminosity class (CSO 2). Using blind tests, we show that CSO 2s consist of three subclasses: CSO 2.0, having prominent hot spots at the leading edges of narrow jets and/or narrow lobes; CSO 2.2, without prominent hot spots and with broad jets and/or lobes; and CSO 2.1, which exhibit mixed properties. Most CSO 2s do not evolve into larger jetted active galactic nuclei (AGN), but spend their whole life cycle as CSOs of size ≲500 pc and age ≲5000 yr. The minimum energies needed to produce the radio luminosity and structure in CSO 2s range from ∼10−4
M
⊙
c
2 to ∼7 M
⊙
c
2. We show that the transient nature of most CSO 2s, and their birth rate, can be explained through ignition in the tidal disruption events of stars. We also consider possibilities of tapping the spin energy of the supermassive black hole, and tapping the energy of the accretion disk. Our results demonstrate that CSOs constitute a large family of AGN in which we have thus far studied only the brightest. More comprehensive CSO studies, with higher sensitivity, resolution, and dynamic range, will revolutionize our understanding of AGN and the central engines that power them.
Galaxy Clusters from the DESI Legacy Imaging Surveys. II. Environmental Effects on the Size–Mass Relation
Authors: Chen Zhaobin , Gu Yizhou , Zou Hu , Yuan Qirong
Published: January 2024

To investigate the environmental effects on the growth of galaxies, we study the size–mass relation across a broad range of environments with a vast sample of approximately 32 million galaxies at z < 0.5 from the DESI Legacy Imaging Surveys. This sample is divided into three subsamples representing galaxies within three different environments: brightest cluster galaxies (BCGs), other cluster galaxies, and field galaxies. The BCGs in our large sample are dominated by quiescent galaxies (QGs), while only a minority (∼13%) of BCGs are star-forming galaxies (SFGs). To demonstrate the influence of the environment on size growth, we attempt to observe the difference in size–mass relation for these three subsamples. In general, the slope differences between QGs and SFGs within various environments are significant and tend to be greater at higher redshifts. For the mass-complete subsamples at z < 0.5, BCGs are found to have the highest slope of size–mass relation, and no difference in size–mass relation is found between cluster members and field galaxies. To assess whether the observed slope differences stem from the variations in environment or mass distribution, we construct the mass-matched subsamples for QGs and SFGs. As a result, both QGs and SFGs show negligible differences in the slope of the size–mass relation among the galaxies within three distinct environments, indicating that stellar mass is the most fundamental factor driving the size evolution at z < 0.5, though the mass growth mode for QGs and SFGs may have been affected by galaxy environment.
Determining the Origin of Very-high-energy Gamma Rays from Galactic Sources by Future Neutrino Observations
Authors: Song Bo-Heng , Huang Tian-Qi , Wang Kai
Published: January 2024

Recently, the Large High Altitude Air Shower Observatory (LHAASO) identified 12 gamma-ray sources emitting gamma rays with energies above 100 TeV, making them potential PeV cosmic-ray accelerators (PeVatrons). Neutrino observations are crucial in determining whether the gamma-ray radiation process is of hadronic or leptonic origin. In this paper, we study three detected sources, LHAASO J1908+0621, LHAASO J2018+3651, and LHAASO J2032+4102, which are also the most promising Galactic high-energy neutrino candidate sources with the lowest pretrial p-value based on the stacking searches testing for excess neutrino emission by the IceCube Neutrino Observatory. We study the lepto-hadronic scenario for the observed multiband spectra of these LHAASO sources considering the possible counterpart source of the LHAASO sources. The very-high-energy gamma rays are entirely attributed to the hadronic contribution; therefore, the most optimistic neutrino flux can be derived. Then, we evaluate the statistical significance (p-value) as a function of the observation time of IceCube and the next-generation IceCube-Gen2 neutrino observatory, respectively. Our results tend to disfavor that all gamma rays above 100 GeV from LHAASO J1908+0621 are of purely hadronic origin based on current IceCube observations, but the purely hadronic origin of gamma rays above 100 TeV is still possible. By IceCube-Gen2, the origin of gamma rays above 100 TeV from LHAASO J1908+0621 can be further determined at a 5σ significance level within a running time of ∼3 yr. For LHAASO J2018+3651 and LHAASO J2032+4102, the required running time of IceCube-Gen2 is ∼10 yr (3σ) and ∼10 yr (5σ), respectively. Future observations by the next-generation neutrino telescope will be crucial to understanding the particle acceleration and radiation processes inside the sources.
Spectacular Nucleosynthesis from Early Massive Stars
Authors: Ji Alexander P. , Curtis Sanjana , Storm Nicholas , Chandra Vedant , C. Schlaufman Kevin , G. Stassun Keivan , Heger Alexander , Pignatari Marco , Price-Whelan Adrian M. , Bergemann Maria , Stringfellow Guy S. , Fröhlich Carla , Reggiani Henrique , Holmbeck Erika M. , Tayar Jamie , Shah Shivani P. , Griffith Emily J. , Laporte Chervin F. P. , Casey Andrew R. , Hawkins Keith , Horta Danny , Cerny William , Thibodeaux Pierre , Usman Sam A. , Amarante João A. S. , Beaton Rachael L. , Cargile Phillip A. , Chiappini Cristina , Conroy Charlie , Johnson Jennifer A. , Kollmeier Juna A. , Li Haining , Loebman Sarah , Meynet Georges , Bizyaev Dmitry , Brownstein Joel R. , Gupta Pramod , Morrison Sean , Pan Kaike , Ramirez Solange V. , Rix Hans-Walter , Sánchez-Gallego José
Published: January 2024

Stars that formed with an initial mass of over 50 M
⊙ are very rare today, but they are thought to be more common in the early Universe. The fates of those early, metal-poor, massive stars are highly uncertain. Most are expected to directly collapse to black holes, while some may explode as a result of rotationally powered engines or the pair-creation instability. We present the chemical abundances of J0931+0038, a nearby low-mass star identified in early follow-up of the SDSS-V Milky Way Mapper, which preserves the signature of unusual nucleosynthesis from a massive star in the early Universe. J0931+0038 has a relatively high metallicity ([Fe/H] = −1.76 ± 0.13) but an extreme odd–even abundance pattern, with some of the lowest known abundance ratios of [N/Fe], [Na/Fe], [K/Fe], [Sc/Fe], and [Ba/Fe]. The implication is that a majority of its metals originated in a single extremely metal-poor nucleosynthetic source. An extensive search through nucleosynthesis predictions finds a clear preference for progenitors with initial mass >50 M
⊙, making J0931+0038 one of the first observational constraints on nucleosynthesis in this mass range. However, the full abundance pattern is not matched by any models in the literature. J0931+0038 thus presents a challenge for the next generation of nucleosynthesis models and motivates the study of high-mass progenitor stars impacted by convection, rotation, jets, and/or binary companions. Though rare, more examples of unusual early nucleosynthesis in metal-poor stars should be found in upcoming large spectroscopic surveys.
The First TESS Self-lensing Pulses: Revisiting KIC 12254688
Authors: Sorabella Nicholas M. , Laycock Silas G. T. , Christodoulou Dimitris M. , Bhattacharya Sayantan
Published: January 2024

We report the observations of two self-lensing pulses from KIC 12254688 in Transiting Exoplanet Survey Satellite (TESS) light curves. This system, containing an F2V star and white-dwarf companion, was among the first self-lensing binary systems discovered by the Kepler Space Telescope over the past decade. Each observed pulse occurs when the white dwarf transits in front of its companion star, gravitationally lensing the star’s surface, thus making it appear brighter to a distant observer. These two pulses are the very first self-lensing events discovered in TESS observations. We describe the methods by which the data were acquired and detrended, as well as the best-fit binary parameters deduced from our self-lensing+radial velocity model. We highlight the difficulties of finding new self-lensing systems with TESS, and we discuss the types of self-lensing systems that TESS may be more likely to discover in the future.
PEARLS: A Potentially Isolated Quiescent Dwarf Galaxy with a Tip of the Red Giant Branch Distance of 30 Mpc
Authors: Carleton Timothy , Ellsworth-Bowers Timothy , Windhorst Rogier A. , Cohen Seth H. , Conselice Christopher J. , Diego Jose M. , Zitrin Adi , Archer Haylee N. , McIntyre Isabel , Kamieneski Patrick , Jansen Rolf A. , Summers Jake , D’Silva Jordan C. J. , Koekemoer Anton M. , Coe Dan , Driver Simon P. , Frye Brenda , Grogin Norman A. , Marshall Madeline A. , Nonino Mario , Pirzkal Nor , Robotham Aaron , Ryan Russell E. , Ortiz Rafael , Tompkins Scott , Willmer Christopher N. A. , Yan Haojing , Holwerda Benne W.
Published: January 2024

A wealth of observations have long suggested that the vast majority of isolated classical dwarf galaxies (M
* = 107–109
M
⊙) are currently star forming. However, recent observations of the large abundance of “ultra-diffuse galaxies” beyond the reach of previous large spectroscopic surveys suggest that our understanding of the dwarf galaxy population may be incomplete. Here we report the serendipitous discovery of an isolated quiescent dwarf galaxy in the nearby Universe, which was imaged as part of the JWST PEARLS Guaranteed Time Observation program. Remarkably, individual red-giant branch stars are visible in this near-IR imaging, suggesting a distance of 30 ± 4 Mpc, and a wealth of archival photometry point to an sSFR of 2 × 10−11 yr−1 and star formation rate of 4 × 10−4
M
⊙ yr−1. Spectra obtained with the Lowell Discovery Telescope find a recessional velocity consistent with the Hubble Flow and >1500 km s−1 separated from the nearest massive galaxy in Sloan Digital Sky Survey suggesting that this galaxy was either quenched from internal mechanisms or had a very high-velocity (≳1000 km s−1) interaction with a nearby massive galaxy in the past. This analysis highlights the possibility that many nearby quiescent dwarf galaxies are waiting to be discovered and that JWST has the potential to resolve them.
The identity of Bupleurum jeholense (Apiaceae)
Authors: Wang Li-Hua , Xu Xue-Min , He Yi , Liu Quan-Ru
Published: January 2024

Bupleurum jeholense Nakai (Apioideae, Apiaceae), originally found in the Wuling Mountain of China, was initially described as a species but later treated as a variety of B. sibiricum Vest ex Spreng. However, researchers have recently found that it is more closely related to B. chinense DC. In this study, we conducted morphological and phylogenetic analyses as well as chromosome counting to determine the taxonomic status of B. sibiricum var. jeholense (Nakai) Chu. Our results showed that B. sibiricum var. jeholense and B. chinense share common features (i.e., bracteoles 5 and stem solid) that distinguish both from B. sibiricum var. sibiricum. The chromosome number of B. sibiricum var. jeholense was found to be the same as in B. chinense (i.e., 2n = 12), whereas the chromosome number of B. sibiricum var. sibiricum was 64. A phylogenetic tree based on complete chloroplast genome data revealed a close relationship between B. sibiricum var. jeholense and B. chinense. Finally, B. sibiricum var. jeholense and B. chinense were mainly found to differ in plant height, number of stems, and middle stem leaves. Based on this evidence, we propose a new combination: Bupleurum chinense var. jeholense (Nakai) Q.R.Liu & L.H.Wang.
Modeling influence of weather variables on energy consumption in an agricultural research institute in Ibadan, Nigeria
Authors: Abu Rahaman , Amakor John , Kazeem Rasaq , Olugasa Temilola , Ajide Olusegun , Idusuyi Nosa , Jen Tien-Chien , Akinlabi Esther
Published: January 2024

Climate change is having a significant impact on weather variables like temperature, humidity, precipitation, solar radiation, daylight duration, wind speed, etc. These weather variables are key indicators that affect electricity demand and consumption. Hence, understanding the significance of weather elements on energy needs and consumption is important to be able to adapt, strategize, and predict the effect of the changing climate on the required energy of an organization. This study aims to investigate the relationship between changing weather elements and electricity consumption, employing Multivariate Linear Regression (MLR), Support Vector Regressions (SVR), and Artificial Neural Network (ANN) models to predict the effect of weather changes on energy consumption. The following approaches were engaged for this study: Creating a catalog of weather elements and parameters of energy need or its consumption; analyzing and correlating electrical power consumption to weather factors; and developing prediction models—MLR, SVR, and ANN to predict the significance of the change in the variables of weather on the electrical energy consumption. Among the weather variables considered, temperature emerged as the most influential factor affecting electricity consumption, displaying the highest correlation. The monthly total pattern for electricity use for the case study area followed a similar pattern as the mean apparent temperature. Of the three models (MLR, SVR, and ANN) developed in this study, the ANN model yielded the best predictive performance, with Mean Square Error (MSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) of 2.733%, 1.292%, and 4.66%, respectively. Notably, the ANN model outperformed the other models (MLR and SVR) by more than 20% across the predictive performance metrics employed.
Research and comparison of pavement performance prediction based on neural networks and fusion transformer architecture
Authors: Yao Hui , Han Ke , Liu Yanhao , Wang Dawei , You Zhanping
Published: January 2024

The decision-making process for pavement maintenance from a scientific perspective is based on accurate predictions of pavement performance. To improve the rationality of pavement performance indicators, comprehensive consideration of various influencing factors is necessary. To this end, four typical pavement performance indicators (i.e., Rutting Depth, International Roughness Index, Longitudinal Cracking, and Alligator Cracking) were predicted using the Long Term Pavement Performance (LTPP) database. Two types of data, i.e., local input variables and global input variables, were selected, and S-ANN and L-ANN models were constructed using a fully connected neural network. A comparative analysis of the predictive outcomes reveals the superior optimization of the L-ANN model. Subsequently, by incorporating structures such as self-attention mechanism, a novel predictive approach based on the Transformer architecture was proposed. The objective is to devise a more accurate predictive methodology for pavement performance indices, with the goal of guiding pavement maintenance and management efforts. Experimental results indicate that, through comparative analysis of three quantitative evaluation metrics (root mean square error, mean absolute error, coefficient of determination), along with visual scatter plots, the predictive model employing the fused Transformer architecture demonstrates higher robustness and accuracy within the domain of pavement performance prediction when compared to the L-ANN model. This outcome substantiates the efficacy and superiority of the model in terms of predictive performance, establishing it as a reliable tool for accurately reflecting the evolution of asphalt pavement performance. Furthermore, it furnishes a theoretical reference for determining optimal preventive maintenance timing for pavements.
Dynamical analysis of a heterogeneous spatial diffusion Zika model with vector-bias and environmental transmission
Authors: Wang Liping , Wang Xinyu , Liu Dajun , Zhang Xuekang , Wu Peng
Published: January 2024

In this study, we formulate a reaction-diffusion Zika model which incorporates vector-bias, environmental transmission and spatial heterogeneity. The main question of this paper is the analysis of the threshold dynamics. For this purpose, we establish the mosquito reproduction number $ R_{1} $ and basic reproduction number $ R_{0} $. Then, we analyze the dynamical behaviors in terms of $ R_{1} $ and $ R_{0} $. Numerically, we find that the ignorance of the vector-bias effect will underestimate the infection risk of the Zika disease, ignorance of the spatial heterogeneity effect will overestimate the infection risk, and the environmental transmission is indispensable.
Mechanical, fatigue, and superplasticity properties of Cu-Al-Mn, Cu-Al-Be-Mn shape memory alloy and their metal matrix composites
Authors: Naresh H. , Prashantha S. , Banapurmath N.R. , Umarfarooq M.A. , Vadlamudi Chandramouli , Krishnappa Sanjay
Published: January 2024

This study explores the characteristics and potential engineering applications of Cu-Al-Mn and Cu-Al-Be-Mn shape memory alloys (SMAs). The research investigates the chemical composition, transformation temperatures, and mechanical properties of these SMAs when incorporated into Al metal matrix composites. It was found that the addition of Mn and Be has a significant impact on the performance of Cu-Al alloys. Among Cu-Al-Mn SMAs, SMA 1, with a composition of Cu-80.94%, Al-10.54%, and Mn-8.52%, exhibited superior strain recovery, super elasticity (SE), and improved mechanical properties compared to other compositions. The study also demonstrates that the inclusion of SMA fibers in Al composites enhances residual strength, energy absorption capacity, and the ability to close fissures, contributing to a more robust and resilient material. In the case of Cu-Al-Be-Mn SMA (SMA 6) with Cu-87.42%, Al-11.8%, Be-0.48%, and Mn-0.3%, displayed improved properties, outperforming other compositions in terms of strain recovery, residual strength, energy absorption capacity, and crack-closing ability. These findings suggest that Cu-Al-Be-Mn SMAs hold promise for various engineering applications. The study provides valuable insights into the potential of these SMAs to enhance the performance of structural materials, offering increased strength, ductility, and resilience. This research contributes to a deeper understanding of the applications and advantages of SMAs in the field of engineering.
Rigorous derivation of discrete fracture models for Darcy flow in the limit of vanishing aperture
Authors: Hörl Maximilian , Rohde Christian
Published: January 2024

We consider single-phase flow in a fractured porous medium governed by Darcy's law with spatially varying hydraulic conductivity matrices in both bulk and fractures. The width-to-length ratio of a fracture is of the order of a small parameter $ \varepsilon $ and the ratio $ {{K_\mathrm{f}}}^\star / {{K_\mathrm{b}}}^\star $ of the characteristic hydraulic conductivities in the fracture and bulk domains is assumed to scale with $ \varepsilon^\alpha $ for a parameter $ \alpha \in \mathbb{R} $. The fracture geometry is parameterized by aperture functions on a submanifold of codimension one. Given a fracture, we derive the limit models as $ \varepsilon \rightarrow 0 $. Depending on the value of $ \alpha $, we obtain five different limit models as $ \varepsilon \rightarrow 0 $, for which we present rigorous convergence results.
Mapas Catastrales: Historia - Geografía - Historiografía
Authors: Kain Roger J. P.
Published: January 2024

No disponible
L’élan vital dans la pédagogie de Maria Montessori
Authors: Weill Mélanie
Published: January 2024

In her seminal work La formation de l'homme (The Formation of Man), which sums up the entirety of her work, Montessori referred to the concept of the "élan vital" as the "master" of her pedagogy. It can therefore be seen as the central point around which his critique of traditional pedagogy and the development of his own method are organised. The question guiding this study of Montessori and Bergson is: how does the notion of 'élan vital', borrowed from the field of philosophy, find a practical application in the field of new education? Through this transfer, another possible form of Bergson's legacy emerges.
Bergson and the Aesthetics of Early Childhood Education and Care
Authors: Olsson Liselott Mariett
Published: January 2024

Aesthetics has always been a fundamental dimension of Early Childhood Education and Care (ECEC), and it has been treated as a relation between matter and mind in a non-dualist and integrated way. Today, however, this dimension and relation is neglected. Abstract and formalist ideas of education, expressed in generalized standards, accountability and neuroscientific explanations, are forced upon educational practice and theory. To counter such neglect, one of Bergson’s major works, Matter and Memory (1988), is in this article used to critically assess abstract formalism as a badly stated problem in the aesthetics of ECEC and it is joined with historical and contemporary pedagogical-aesthetical resources that may be capable of re-activating the aesthetics of ECEC.
The Impact of Quantum Computing on Artificial Intelligence
Authors: Sakthi Srinivasan K. , Kesavan Varun
Published: January 2024

The widespread use of artificial intelligence has positioned it at the pinnacle of the technical hierarchy. Nevertheless, artificial intelligence (AI) outperforms traditional computers in certain aspects. The potential for quantum processing to greatly augment the efficacy of machine learning and artificial intelligence has emerged as a result of technological progress. Subsequent investigations will be undertaken to examine the impact of quantum processing on artificial intelligence (AI) and its implications for many sectors and economic systems. This research investigates the impact of quantum computing on artificial intelligence (AI), the distinctions between quantum and conventional computing, and the many applications of quantum computing in the field of AI.
Quantum Machine Learning
Authors: Subbiah Priyanga , Krishnaraj N. , Bellam Kiran
Published: January 2024

Machine learning improved by quantum computing. Machine learning and quantum physics fix AI and computers. This chapter discusses quantum machine learning theory, methods, and applications. Part 1 thoroughly discusses quantum and classical machine learning. The authors demonstrate how quantum supports vector machines, neural networks, and clustering speed AI. The chapter examines quantum machine learning's merits and downsides. Quantum computers optimize, parallelize, and manage huge data better. Quantum hardware restrictions and error correction reduce noise and decoherence. Explore quantum machine learning in NLP, drug discovery, financial modeling, and image recognition. Many fields could change quantum platform machine learning models with quantum algorithms. The chapter concludes with quantum machine learning directions and challenges. Check trustworthy quantum machine learning frameworks, benchmarks, and hybrid algorithms. Hot: quantum machine learning. This chapter covers fundamentals, research frameworks, and applications.
Quantum Computing AI
Authors: Qamar Roheen , Zardari Baqar Ali , Khang Alex
Published: January 2024

Quantum artificial intelligence (QAI) is a topic of study that blends quantum computing and AI. In order to investigate the possibilities of fruitful cooperation across both disciplines of computer science (CS), the authors will attempt to convey some of the relevant properties of both artificial intelligence (AI) and quantum computing (QC) from an academic point of view. The key artificial intelligence applications that can be addressed more effectively by employing the current generation of quantum computers will be covered in this chapter, along with a review of the fundamental components of quantum computing. There are several similarities between quantum computing and artificial intelligence. Quantum computing can increase the training speed and processing capability of artificial intelligence and machine learning algorithms at a lower cost. This chapter discusses the fundamental ideas that enable scientists and engineers to combine AI with quantum computing.
Quantum Computing Smart City
Authors: Baskar Prabu , Khang Alex , Annadurai Shalini , Amritha S. S. , Annadurai Pavithra
Published: January 2024

Nowadays, Quantum computing can impact various aspects by enabling more efficient, optimized, and sustainable solutions to complex issues. Additionally, quantum-inspired algorithms can bring innovative approaches to optimize processes, speed up transfers, innovate product developments, and lessen the overall time durations. Quantum computing also is best suited for resolving complex problems. Particularly, it resolves optimization-related issues from security to financial trading. It can perform algorithms and calculations at an unprecedented speed, allowing it to fix problems that classical computers cannot handle and create green infrastructure for not only industries but also smart cities in the world. It enhances machine learning abilities, simulates quantum systems, optimizes challenges, and contributes to the growth of scientific research as well as provides advanced data protection methods and secure communication.
Quantum Cryptography
Authors: Chauhan Sonam , Srivastava Shipra , Singh Ramveer , Sharma Ajay , Ojha Deo Brat
Published: January 2024

The world in which we live is heavily reliant on digital communications. Traditional communication methodologies have been replaced with digital communications methods such as e-mail, instant messages, social media, and many more. Every day, terabytes of data are generated and shared around the world. Securing data stored and shared across these networks have evolved into a thriving discipline. Cryptography is an excellent way to secure terabytes of data. The core of cryptography is to transform data into unreadable format. With the introduction of quantum systems, it has been proved that many traditional cryptographic schemes are unsecure and can be broken with quantum computers. This chapter presents a brief review of pre- and post-quantum systems.
Quantum Computing Security
Authors: Kaushik Manish , Sindhwani Nidhi , Saxena Komal
Published: January 2024

With the approach of quantum processing, customary cryptographic calculations and conventions utilized for PC security face critical difficulties. This examination paper investigates the utilization of quantum registering in PC security and its possible effect on the field. The authors give an outline of quantum registering, featuring its remarkable properties and computational benefits. Consequently, they talk about the weaknesses of traditional cryptographic frameworks to quantum assaults and the requirement for post-quantum cryptography. Moreover, they dive into explicit utilizations of quantum figuring in PC security, including quantum key dispersion, quantum-safe calculations, and secure multiparty calculation. At last, they look at the present status of examination, difficulties, and future headings in utilizing quantum processing for improving PC security.
The Convergence of Quantum Computing and Blockchain
Authors: Kose Busra Ozdenizci
Published: January 2024

The integration of quantum computing and blockchain represents a pivotal moment in technological advancement, offering both unique synergies and new security challenges. Today, blockchain developers and practitioners are working hard to make sense of the threats and opportunities that quantum computing will bring. This chapter addresses the quantum computing-blockchain puzzle by examining the potential innovations, opportunities, and threats of these two transformative technologies. Moreover, the importance of post-quantum cryptography and quantum-resistant blockchain architectures, as well as open-source development efforts and educational initiatives, are highlighted as measures to both overcome challenges and strengthen opportunities. As the impact and importance of quantum technology grows, this study aims to provide guidance to practitioners and developers, helping them overcome and mitigate the complexities and challenges ahead.
College Students' Mental Health Guidance and Social Environment Building Based on Ideological Education
Authors: He Baichuan , Zhang Yuzi
Published: January 2024

The purpose of this article is to explore the guidance of college students' mental health and the construction of social environment based on ideological education, so as to improve the level of college students' mental health. Firstly, the universality, types, and causes of college students' mental health problems are analyzed, and the seriousness and urgency of college students' mental health problems are pointed out. Then, it analyzes the influence of social environment on college students' mental health and points out the importance and influencing factors of social environment on college students' mental health. Finally, it puts forward the measures of mental health guidance and social environment construction for college students based on ideological education, including establishing mental health service mechanism, strengthening social environment construction, and promoting the publicity of college students' mental health knowledge.
Strategies of Improving Information Literacy of College Foreign Language Teachers Under the Background of Artificial Intelligence
Authors: Yu Han , Li Xinguo , Bligh Brett
Published: January 2024

In the era of information technology, foreign language teachers should not only master the professional knowledge of foreign languages, but also master the theoretical knowledge and application skills of modern education technology, that is, have certain information literacy. This article studies the strategies to improve the information literacy of foreign language teachers in colleges and universities under the background of artificial intelligence, constructs the evaluation index system of foreign language teachers' information literacy using the analytic hierarchy process (AHP), and establishes a fuzzy evaluation model of foreign language teachers' information literacy based on the index system. The results show that foreign language teachers' information literacy level is above the middle level. The information literacy of teachers with different professional titles and ages is not consistent in the four dimensions of information awareness, information knowledge, information ability and information ethics.
Future of Artificial Intelligence in Developing a Sustainable Intelligent Engineering Systems: A Review
Authors: Emuowhochere Oghenevwegba T. , Salawu Enesi Y. , Ongbali Samson O. , Ajayi Oluseyi O.
Published: January 2024

Studying the behaviour of engineering systems and processes from the perspective of applications of artificial intelligence provides an invaluable reference to improve their productivity and industrial development at large. This study comprehensively unveiled the problems faced by engineering systems and how artificial intelligence could be deployed as a technique for the future advancement of the industry. A brief background of the application of artificial intelligence in some selected engineering fields revealed that insufficient operational and process data from both plants and processes are major problems causing the survival of sustainable intelligent systems thereby, leading to incessant system failure. Furthermore, it was equally discovered that artificial intelligent for specific application are based on the data obtained from such application. Thus, there is no universally agreed artificial intelligent for a specific application. This made it a bit complex in developing intelligent systems. Keywords: Artificial Neural Network, Applications, Engineering, Training, Data.
The Effect of Molar Ratio and Precipitation Time of Mg/Al Hydrotalcite Synthesis on the Isomerization of Glucose into Fructose
Authors: Permanasari Ayu  Ratna , Yulistiani Fitria , Sihombing Rony Pasonang , Fauzan Ahmad , Keryanti Keryanti , Wibisono Wahyu
Published: January 2024

The substitution of Mg/Al hydrotalcite catalyst over the glucose-isomerase is expected to decrease the space-time and reduce the energy consumption of glucose isomerization into fructose. The quality of the Mg/Al hydrotalcite catalyst is determined during the synthesis process. The synthesis has been carried out in the various Mg/Al molar ratio and precipitation times and observed the catalytic activity in the isomerization. Response Surface Methodology (RSM) is used to analyze statistically the optimum condition of the synthesis process. The Mg/Al molar ratio was 1:1 to 4:1 with a precipitation time of 720-1080 min. The characterization of the Mg/Al hydrotalcite catalyst includes the functional groups of the constituent compounds by FTIR, the crystallinity and particle size by (XRD), and the surface area of the catalyst by BET. The RSM results show the optimum condition of the Mg/Al molar ratio and precipitation time to produce the highest mass catalyst product of Mg/Al hydrotalcite catalyst (3,38 g) is 3.34:1 and 984.85 min. The highest degree of crystallinity obtained is 28.70% with the particle size is 10.19 Å. The highest yield and selectivity of the isomerization process are 56.95% and 91.89%, respectively. By the RSM analytical method, the Mg/Al molar ratio and the precipitation time used in this catalyst synthesis do not give a significant effect on the catalytic activity of the isomerization.
Characterization of PVA/Chitosan and Tuna Fish Bones CHA Scaffold for Bone Tissue Engineering
Authors: Pratiwi Sulistiyani Hayu , Sari Mona , Yusuf Yusril
Published: January 2024

Bone tissue engineering has been used in the biomedical field to treat bone defects by implanting scaffolds into bone tissue. However, the currently developed scaffold still needs to be developed to obtain scaffold building materials with good compatible properties and can regenerate damaged bone cells. This study combines PVA/Chitosan polymer with CHA of tuna bone using the porogen leaching method at a calcination temperature of 100°C for 12 hours. The purpose of this study was to determine the physicochemical properties by characterizing XRD, SEM-EDX, FTIR, and the porosity of the scaffold. The results obtained from the results of the PVA/Chitosan/CHA XRD patterns are the formation of the PVA/Chitosan phase at 2θ(°)=19.68, the IR spectrum of the 43−group band and 2 stretching, the ratio mol Ca/P is 1.98, the pore diameter is 1.561 ± 0.07 μm and the porosity is 55.04%. These results indicate that the PVA/Chitosan/CHA scaffold is an amorphous calcium phosphate (ACP) that has the potential for bone tissue engineering.
Environmental Impacts of Cement Production on the Total Nitrogen and Nitrate Distribution of Soil and Dust in Selected Areas around Ewekoro, Ogun State
Authors: Opanike Oyetunde , Ross Kristin , Whiley Harriet , Omotosho Olugbenga A. , Akindele Emmanuel O. , Yusuf Omolola O.
Published: January 2024

Cement dust is principal industrial waste that exhibits detrimental effects on soil properties especially the nitrogen content of the soil. This study investigated the total Nitrogen and Nitrate value of the soil and dust collected in thirteen (13) different locations around Ewekoro Limestone Quarry and Cement Production. The results showed that the total nitrogen value ranges between 0.093ppm and 0.037ppm while the nitrate value ranged from 145.25ppm - 66.50ppm in the soil samples. Also, the total nitrogen in the dust particulate samples was from 0.950-0.100ppm while the nitrate value ranged from 63.00ppm-28.00pm. The value of total nitrogen value and nitrate around Ewekoro Quarry is relatively lower than the value obtained at Ososun, the control location which is about 10km away from Quarry. Duncann Multiple range tests revealed that soil samples collected from Alaguntan, Ajegunle, Arigbajo, Papa Lanto, Rail km 53, Waasinmi Alaafia, Apomu, Isofin Orile, Quarry, were significantly different in total nitrogen from the control sample (Ososun). In contrast, soil samples collected from Ayepe, Lapeleke, and Agbesi do not differ significantly in total Nitrogen from the soil sample. Also, the result of the correlation matrix indicated that there is a significant positive correlation between total nitrogen, conductivity, and depth at (<0.05), while there is a negative correlation but non-significant relationship between soil depth, pH, clay content, and total nitrogen. It is possible that the reduced level of nitrogen around the quarry location compared with the control site must have been due to the effect of cement duct particulates.
Design and Fabrication of a Bone Crushing Machine/Hammer Mill for Sustainable Livestock Feed Production
Authors: Edun Bose Mosunmola , Ajayi Oluseyi O. , Babalola Phillip Olufemi
Published: January 2024

This study focuses on the design and construction of an improved crushing machine with a capacity of 0.15 (150 kg/hr) tons per hour, 15 Hp, and 2910 rpm speed. The design follows criterion design guidelines to ensure the improved service life of the component. When the values produced from the current design approach were contrasted with the values and outcomes received from the analysis using the Ansys package, the design should be reliable. The hammers produced are subjected to carburisation process using bio-wastes such as coconut shells, saw dust, and palm kernel shells to enhance the reliability of the machine. The bending of the shaft is controlled during the rotation at rated speed rpm when a load is applied to the shaft. The critical speed of the shaft is experienced with deflection when the shaft rotates freely. The natural frequency and speed were put under check in order to avoid failure. The von Mises stress was employed as a yielding criterion for the shaft. It states that if the components of stress operating on a body are more than the criterion, the body will yield.
Solid Propellant Aging Detection Method Based on Impedance Spectroscopy
Authors: Zhang Bin Bin , Wu Guan Hua , Chen Сhao Bo , Gao Song
Published: January 2024

Aiming at the shortcomings of large volume, high cost and long detection cycle of traditional solid propellant aging detection methods, a solid propellant aging detection method based on impedance spectroscopy is proposed. Firstly, the internal impedance of the solid propellant changes after aging, and a portable solid propellant impedance spectrum acquisition system based on impedance spectroscopy is designed based on the principle of electrochemical impedance spectroscopy, and the real and imaginary parts of the impedance spectrum are obtained. Secondly, in order to reduce the data dimension of the classification algorithm, the KPCA (Nuclear Principal Component Analysis) feature extraction algorithm is used to extract the impedance spectrum features of the solid propellant. Then, according to the impedance spectrum characteristics, the BP neural network is used for classification training, and the correspondence between the impedance spectrum and the aging time is obtained. Finally, the feasibility and effectiveness of the proposed method are verified on the physical platform, and the results show that the proposed method has the advantages of high precision and accurate classification, and can effectively predict the aging degree of solid propellant.