bluuebunny/crossref_metadata_2025 huggingface dataset:
The Essential Content, Integrative Characteristics, and Theoretical Origins of Wencai’s “One Mind” Theory in A New Commentary on the Zhao Lun
Authors: Liu Ning , Li Yuanguang
Published: August 2024

The Zhao Lun, authored by Seng Zhao, elaborates on the Madhyamaka thought. This work has had a significant impact on Chinese Buddhist philosophy, as well as on Confucianism and Taoism. During the Yuan dynasty (1271–1368), the esteemed monk Wencai from the Huayan school of Buddhism composed a book titled A New Commentary on the Zhao Lun (hereafter New Commentary), which offers annotations and explanations for the text of the Zhao Lun and employs the “One Mind” theory to interpret the Zhao Lun. Text analysis methods are utilized in this article to conduct an in-depth study of the “One Mind” theoretical system constructed by Wencai within the New Commentary. It explores the essential content, integrative characteristics, and theoretical origins of the “One Mind” theory, thereby revealing the theoretical style of the Huayan school during the Yuan dynasty from a novel and unique perspective. Additionally, we analyze how Wencai integrates Tathāgatagarbha thought and Madhyamaka thought into his theory of “One Mind”. This analysis constitutes, to a certain extent, an indirect refutation of the harsh criticisms of Tathāgatagarbha thought of “Critical Buddhism” in Japan and provides new perspectives and reflections for a deeper understanding of Tathāgatagarbha thought.
“John Burt’s Lincoln and Process Thought”
Authors: Dombrowski Daniel A.
Published: August 2024

The purpose of the present article is to examine the processual character of Abraham Lincoln’s politically liberal thought. This examination will attempt to build on the magisterial study of Lincoln by John Burt and on Burt’s use of the thought of John Rawls and H. L. A. Hart. Lincoln will also be compared and contrasted with process thinkers like Charles Hartshorne and Alfred North Whitehead, especially in terms of Lincoln’s capacity for growth in his ethical and political thought.
Between Words and Worlds: Masters’ Sayings in Early Sufi Literature
Authors: Salamah-Qudsi Arin
Published: August 2024

The purpose of this article is to examine the intersections between the corpus of sayings in the Sufi tradition and the changing realities in the period between the third/ninth and seventh/thirteenth centuries. The main hypothesis is that masters’ sayings were neither expressions of abstract theories nor mere responses to changing forms of religious identities but rather a powerful engine for the shifts then occurring in the Sufi tradition as a whole. This notion is examined from two realms. The first is an examination of the ways Sufi sayings went far beyond being a vessel for mystical themes and acted as an effective instrument in the hands of Sufi masters in their quest for authority. Sufi sayings helped masters build the foundations for a shared Sufi “science” transmitted through generations of Sufis and contributed, thereby, to establishing a powerful collective identity and institution. In the second realm, this paper categorizes the bulk of sayings according to prevalent themes, structures, and performativity to propose major outlines of the development of these sayings across time. There were three significant phases in the development of Sufi sayings: the first refers to the late second/eighth and early third/ninth centuries; the second to the fourth/tenth and fifth/eleventh centuries; and the third covers the period from the sixth/twelfth century onwards. Inspired by speech act theory and other theories on the performativity of language, I argue that Sufi sayings, including ecstatic utterances, were designated as social acts seeking to change the basics of religious consciousness.
Enacting Ghosts, or: How to Make the Invisible Visible
Authors: de Blécourt Yseult
Published: August 2024

In the Netherlands, there was always a clear distinction between Protestant and Catholic folklore. That is visible in witchcraft accusations, but it is also visible in ghost lore. This lore is here reconstructed applying a not always used source, to wit newspaper articles. Here, I will discuss how accounts of hoaxing on the one hand and misinterpreted experiences on the other, help to understand how, in this case people in the Netherlands of roughly a century to a century and a half ago, realized their imagination of the dead. Not in a paradisical kind of afterlife, or as rotten corpses in the ground, but as specific entities which permeated the boundaries between the living and the dead. These newspaper reports are confronted with the stories (or jokes) collected by folklorists. I will also discuss content, with a special focus on the phenomenon of the hoax. Hoaxsters, however, allow the researcher to engage with an extra dimension in the encounter, between the ghost and the observer there is now a third party interacting with both. (How this involves the researcher, is always a problem in historical research.) Was there an overall ghost picture? What was the reaction of bystanders? Moreover, this essay will move between story and history, between the past as it was experienced and as it was related to contemporaries, between ‘fact’ and ‘fiction’ to give it another name. As it will appear, the boundary between the two seems blurred but in the end turns out rather precise.
MVG-Net: LiDAR Point Cloud Semantic Segmentation Network Integrating Multi-View Images
Authors: Liu Yongchang , Liu Yawen , Duan Yansong
Published: August 2024

Deep learning techniques are increasingly applied to point cloud semantic segmentation, where single-modal point cloud often suffers from accuracy-limiting confusion phenomena. Moreover, some networks with image and LiDAR data lack an efficient fusion mechanism, and the occlusion of images may do harm to the segmentation accuracy of a point cloud. To overcome the above issues, we propose the integration of multi-modal data to enhance network performance, addressing the shortcomings of existing feature-fusion strategies that neglect crucial information and struggle with matching modal features effectively. This paper introduces the Multi-View Guided Point Cloud Semantic Segmentation Model (MVG-Net), which extracts multi-scale and multi-level features and contextual data from urban aerial images and LiDAR, and then employs a multi-view image feature-aggregation module to capture highly correlated texture information with the spatial and channel attentions of point-wise image features. Additionally, it incorporates a fusion module that uses image features to instruct point cloud features for stressing key information. We present a new dataset, WK2020, which combines multi-view oblique aerial images with LiDAR point cloud to validate segmentation efficacy. Our method demonstrates superior performance, especially in building segmentation, achieving an F1 score of 94.6% on the Vaihingen Dataset—the highest among the methods evaluated. Furthermore, MVG-Net surpasses other networks tested on the WK2020 Dataset. Compared to backbone network for single point modality, our model achieves overall accuracy improvement of 5.08%, average F1 score advancement of 6.87%, and mean Intersection over Union (mIoU) betterment of 7.9%.
Applying Knowledge-Based and Data-Driven Methods to Improve Ore Grade Control of Blast Hole Drill Cuttings Using Hyperspectral Imaging
Authors: Akbar Somaieh , Abdolmaleki Mehdi , Ghadernejad Saleh , Esmaeili Kamran
Published: August 2024

This study introduces a novel method utilizing hyperspectral imaging for instantaneous ore-waste analysis of drill cuttings. To implement this technique, we collected samples of drill cuttings at regular depth intervals from five blast holes in an open pit gold mine and subjected them to scanning using a hyperspectral imaging system. Subsequently, we employed two distinct methods for processing the hyperspectral images. A knowledge-based method was used to estimate ore grade within each sampled interval, and a data-driven technique was employed to distinguish the ore and waste for each sample interval. Firstly, leveraging the mixed mineralogical composition of the samples, the Linear Spectral Unmixing (LSU) technique was utilized to predict ore grade for each sample. Additionally, the Gradient Boosting Classifier (GBC) was used as an efficient data-driven approach to classify ore-waste samples. Both methods rendered accurate results when they were compared with results obtained through laboratory X-ray diffraction (XRD) analysis and gold assay analysis for the same sample intervals. Adopting the proposed methodology in open pit mine operations can significantly enhance the process of grade control during blast hole drilling. This includes reducing costs, saving time, minimizing uncertainty in ore grade estimation, and establishing more precise ore-waste boundaries in resource block models.
Nonlinear Evolutionary Pattern Recognition of Land Subsidence in the Beijing Plain
Authors: Lyu Mingyuan , Li Xiaojuan , Ke Yinghai , Jiang Jiyi , Sun Zhenjun , Zhu Lin , Guo Lin , Xu Zhihe , Tang Panke , Gong Huili , Wang Lan
Published: August 2024

Beijing is a city on the North China Plain with severe land subsidence. In recent years, Beijing has implemented effective measures to control land subsidence. Since this implementation, the development of time-series land subsidence in Beijing has slowed and has shown nonlinearity. Most previous studies have focused on the linear evolution of land subsidence; the nonlinear evolutionary patterns of land subsidence require further discussion. Therefore, we aimed to identify the evolution of land subsidence in Beijing, based on Envisat ASAR and Radarsat-2 images from 2003 to 2020, using permanent scatterer interferometric synthetic aperture radar (PS-InSAR) and cubic curve polynomial fitting methods. The dates of the extreme and inflection points were identified from the polynomial coefficients. From 2003 to 2020, the subsidence rate reached 138.55 mm/year, and the area with a subsidence rate > 15 mm/year reached 1688.81 km2. The cubic polynomials fit the time-series deformation well, with R2 ranging from 0.86 to 0.99 and the RMSE ranging from 1.97 to 60.28 mm. Furthermore, the subsidence rate at 96.64% of permanent scatterer (PS) points first increased and then decreased. The subsidence rate at 86.58% of the PS points began to decrease from 2010 to 2015; whereas the subsidence rate at 30.51% of the PS point reached a maximum between 2015 and 2019 and then decreased. The cumulative settlement continued to increase at 69.49% of the PS points. These findings imply that groundwater levels are highly correlated with the temporal evolution of subsidence in areas with pattern D (Vs+-, S+), with increasing and then decelerating rates and increasing amounts. In regions with a thickness of compressible clay layer over 210 m, subsidence follows pattern E (Vs+, S+), with increasing rates and amounts. Fractures such as the Gaoliying and Sunhe fractures significantly influence the spatial distribution of subsidence patterns, showing distinct differences on either side. Near the Global Resort Station, pattern E (Vs+, S+) intensifies in subsidence, potentially due to factors like land use changes and construction activities.
An Accurate and Robust Multimodal Template Matching Method Based on Center-Point Localization in Remote Sensing Imagery
Authors: Yang Jiansong , Zheng Yongbin , Xu Wanying , Sun Peng , Bai Shengjian
Published: August 2024

Deep learning-based template matching in remote sensing has received increasing research attention. Existing anchor box-based and anchor-free methods often suffer from low template localization accuracy in the presence of multimodal, nonrigid deformation and occlusion. To address this problem, we transform the template matching task into a center-point localization task for the first time and propose an end-to-end template matching method based on a novel fully convolutional Siamese network. Furthermore, we propose an adaptive shrinkage cross-correlation scheme, which improves the precision of template localization and alleviates the impact of background clutter without adding any parameters. We also design a scheme that leverages keypoint information to assist in locating the template center, thereby enhancing the precision of template localization. We construct a multimodal template matching dataset to verify the performance of the method in dealing with differences in view, scale, rotation and occlusion in practical application scenarios. Extensive experiments on a public dataset, OTB, the proposed dataset, as well as a remote sensing dataset, SEN1-2, demonstrate that our method achieves state-of-the-art performance.
Research on the Application of Dynamic Process Correlation Based on Radar Data in Mine Slope Sliding Early Warning
Authors: Chen Yuejuan , Liu Yang , Qi Yaolong , Huang Pingping , Tan Weixian , Yin Bo , Li Xiujuan , Li Xianglei , Zhao Dejun
Published: August 2024

With the gradual expansion of mining scale in open-pit coal mines, slope safety problems are increasingly diversified and complicated. In order to reduce the potential loss caused by slope sliding and reduce the major threat to the safety of life and property of residents in the mining area, this study selected two mining areas in Xinjiang as cases and focused on the relationship between phase noise and deformation. The study predicts the specific time point of slope sliding by analyzing the dynamic history correlation tangent angle between the two. Firstly, the time series data of the micro-variation monitoring radar are used to obtain the small deformation of the study area by differential InSAR (D-InSAR), and the phase noise is extracted from the radar echo in the sequence data. Then, the volume of the deformation body is calculated by analyzing the small deformation at each time point, and the standard deviation of the phase noise is calculated accordingly. Finally, the sliding time of the deformation body is predicted by combining the tangent angle of the ratio of the volume of the deformation body to the standard deviation of the phase noise. The results show that the maximum deformation rates of the deformation bodies in the studied mining areas reach 10.1 mm/h and 6.65 mm/h, respectively, and the maximum deformation volumes are 2,619,521.74 mm3 and 2,503,794.206 mm3, respectively. The predicted landslide time is earlier than the actual landslide time, which verifies the effectiveness of the proposed method. This prediction method can effectively identify the upcoming sliding events and the characteristics of the slope, provide more accurate and reliable prediction results for the slope monitoring staff, and significantly improve the efficiency of slope monitoring and early warning.
EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life
Authors: Falivene Anna , Cantiani Chiara , Dondena Chiara , Riboldi Elena Maria , Riva Valentina , Piazza Caterina
Published: August 2024

Brain networks are hypothesized to undergo significant changes over development, particularly during infancy. Thus, the aim of this study is to evaluate brain maturation in the first year of life in terms of electrophysiological (EEG) functional connectivity (FC). Whole-brain FC metrics (i.e., magnitude-squared coherence, phase lag index, and parameters derived from graph theory) were extracted, for multiple frequency bands, from baseline EEG data recorded from 146 typically developing infants at 6 (T6) and 12 (T12) months of age. Generalized linear mixed models were used to test for significant differences in the computed metrics considering time point and sex as fixed effects. Correlational analyses were performed to ascertain the potential relationship between FC and subjects’ cognitive and language level, assessed with the Bayley-III scale at 24 (T24) months of age. The results obtained highlighted an increased FC, for all the analyzed frequency bands, at T12 with respect to T6. Correlational analyses yielded evidence of the relationship between FC metrics at T12 and cognition. Despite some limitations, our study represents one of the first attempts to evaluate brain network evolution during the first year of life while accounting for correspondence between functional maturation and cognitive improvement.
Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner
Authors: Dobrescu Cosmin C. , González Iván , Carneros-Prado David , Fontecha Jesús , Nugent Christopher
Published: August 2024

This study introduces a lightweight storage system for wearable devices, aiming to optimize energy efficiency in long-term and continuous monitoring applications. Utilizing Direct Memory Access and the Serial Peripheral Interface protocol, the system ensures efficient data transfer, significantly reduces energy consumption, and enhances the device autonomy. Data organization into Time Block Data (TBD) units, rather than files, significantly diminishes control overhead, facilitating the streamlined management of periodic data recordings in wearable devices. A comparative analysis revealed marked improvements in energy efficiency and write speed over existing file systems, validating the proposed system as an effective solution for boosting wearable device performance in health monitoring and various long-term data acquisition scenarios.
Advancements in and Research on Coplanar Capacitive Sensing Techniques for Non-Destructive Testing and Evaluation: A State-of-the-Art Review
Authors: Abdollahi-Mamoudan Farima , Ibarra-Castanedo Clemente , Maldague Xavier P. V.
Published: August 2024

In contrast to conventional non-destructive testing (NDT) and non-destructive evaluation (NDE) methodologies, including radiography, ultrasound, and eddy current analysis, coplanar capacitive sensing technique emerges as a novel and promising avenue within the field. This paper endeavors to elucidate the efficacy of coplanar capacitive sensing, also referred to as capacitive imaging (CI), within the realm of NDT. Leveraging extant scholarly discourse, this review offers a comprehensive and methodical examination of the coplanar capacitive technique, encompassing its fundamental principles, factors influencing sensor efficacy, and diverse applications for defect identification across various NDT domains. Furthermore, this review deliberates on extant challenges and anticipates future trajectories for the technique. The manifold advantages inherent to coplanar capacitive sensing vis-à-vis traditional NDT methodologies not only afford its versatility in application but also underscore its potential for pioneering advancements in forthcoming applications.
Analysis of Near-Field Characteristics on Improved Structures of Double-Slot Antipodal Vivaldi Antenna
Authors: Hoang Ha , Nguyen Minh-Huy , Pham-Xuan Vinh
Published: August 2024

A characterization of near-field impulse responses based on electromagnetic (EM) near-field data from an EM solver to explore features of the propagation process on a well-known wideband traveling wave antenna—double-slot Vivaldi antenna—is presented in this article. The intensity, propagating time and partitional response characteristics facilitate interpretation of the propagation process and impacts of the antenna partitions on the process. The EM energy flows guided, reoriented and scattered along a sequence of antennas transmitting and radiating segments were recognized. The geometric features of near-field wavefront surfaces supported evaluation of the EM flow proportions and antenna directivity. Impact of the structural section on radiation was also assessed by the partitional far-field response characteristic in frequency and time domains. Supported by many complementary characteristics in the analyses, inherent features of the propagation process were emphasized and false flags were minimized. By this approach, the simplification for the near-field propagation model contributed to enhancing the insight of near-field propagation processes on the double-slot antipodal Vivaldi antennas and enabled optimizing the antenna structure details.
Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain–Computer Interface System
Authors: Kabir Md. Humaun , Akhtar Nadim Ibne , Tasnim Nishat , Miah Abu Saleh Musa , Lee Hyoun-Sup , Jang Si-Woong , Shin Jungpil
Published: August 2024

The accuracy of classifying motor imagery (MI) activities is a significant challenge when using brain–computer interfaces (BCIs). BCIs allow people with motor impairments to control external devices directly with their brains using electroencephalogram (EEG) patterns that translate brain activity into control signals. Many researchers have been working to develop MI-based BCI recognition systems using various time-frequency feature extraction and classification approaches. However, the existing systems still face challenges in achieving satisfactory performance due to large amount of non-discriminative and ineffective features. To get around these problems, we suggested a multiband decomposition-based feature extraction and classification method that works well, along with a strong feature selection method for MI tasks. Our method starts by splitting the preprocessed EEG signal into four sub-bands. In each sub-band, we then used a common spatial pattern (CSP) technique to pull out narrowband-oriented useful features, which gives us a high-dimensional feature vector. Subsequently, we utilized an effective feature selection method, Relief-F, which reduces the dimensionality of the final features. Finally, incorporating advanced classification techniques, we classified the final reduced feature vector. To evaluate the proposed model, we used the three different EEG-based MI benchmark datasets, and our proposed model achieved better performance accuracy than existing systems. Our model’s strong points include its ability to effectively reduce feature dimensionality and improve classification accuracy through advanced feature extraction and selection methods.
Thickness Characterization of Steel Plate Coating Materials with Terahertz Time-Domain Reflection Spectroscopy Based on BP Neural Network
Authors: Jiang Xuelei , Xu Ying , Hu Hang
Published: August 2024

Accurate monitoring of steel plate coating thickness is crucial in construction quality control and durability assessments. To address this challenge, this study introduces a terahertz time-domain reflection spectroscopy based on a BP neural network model to achieve a quantitative visualization characterization of coating thickness. The BP neural network eliminates the inherent dependence of terahertz reflection spectroscopy on the refractive index value in thickness calculation. This trained BP neural network model effectively establishes a functional relationship between signal feature parameters and the corresponding thickness values. Additionally, the proposed model can innovatively measure different coating materials’ refractive indexes, revealing the corresponding values for the black paint, white paint, epoxy resin, and rubber as 2.212, 1.967, 1.924, and 2.185, respectively. The experimental results demonstrate the trained BP neural network model possesses remarkable accuracy in predicting coating thickness within the scanning area, achieving a precision level exceeding 96%. This method enables the visualization of coating thickness and the extraction of thickness characterization values. Furthermore, using the thickness imaging results as a reference, the method can accurately identify the thickness abnormalities across the scanning area, locating the position and size of potential defects such as internal scratches and foreign object defects. This innovative approach offers a superior means of monitoring and assessing the thickness distribution quality of the steel plate coating layer materials.
Fish Extract Fractionation by Solid Phase Extraction: Investigating Co-Occurring Ciguatoxins by LC-MS/MS and N2a-Bioassay
Authors: Spielmeyer Astrid , Blaschke Vincent , Loeffler Christopher R.
Published: August 2024

Ciguatoxins (CTXs) are neurotoxic marine biotoxins capable of contaminating marine organisms. Approximately 30 CTX analogues have been described; however, only a few have been documented in ciguatera poisoning (CP) outbreaks. Detecting CTXs from complex matrices at CP-relevant concentrations (<1 µg per kg seafood tissue) is analytically challenging. Analytical standards for CTXs are rare. Even after multi-step sample preparation (including liquid–liquid partition, defatting, and solid-phase extraction (SPE)), extracts can contain undesirable co-eluting matrix components. These limitations can exacerbate discrepancies between results obtained by LC-MS/MS and the N2a-bioassay, which are two common CTX detection methods. Herein, a rapid and simple fractionation method, based on normal phase SPE (silica), is demonstrated. Target CTXs were eluted using solvent mixtures of ascending polarity, passed through the column, and separated into eight fractions. To challenge the method, extracts with eleven naturally incurred CTX analogues among different structural CTX groups (e.g., CTX3C, CTX4A, and C-CTX group) were used. The most complex tissue matrix tested (viscera) was improved the most for extract purity and CTX detection, enhancing the correlation between LC-MS/MS and N2a-bioassay results. This workflow represents an advancement for characterizing CTXs in seafood products and CP outbreaks, irrespective of the responsible CTX analogue and where standards are lacking.
The Impact of Match Workload and International Travel on Injuries in Professional Men’s Football
Authors: den Hollander Steve , Kerkhoffs Gino , Gouttebarge Vincent
Published: August 2024

There are concerns over the impact of the congested international match calendar on professional footballers’ physical and mental well-being, and injury susceptibility. This study aimed to determine whether there were differences in match workload and international travel between injured and non-injured male football players over two elite competition seasons. An observational, retrospective, case–control study was conducted using data from the 2021/2022 and 2022/2023 seasons of five top-tier European men’s football leagues. Student t-tests were used to compare cumulative match workload and international travel data over a 28-day period preceding 1270 injuries and 2540 controls. There were significant differences in match workload and international travel variables between the injured groups (all injuries and hamstring injuries) and the control group. Match workload variables were higher (p < 0.01), recovery variables lower (p < 0.01), and international travel variables higher (p < 0.01). An overload of match workload and international travel contribute to increased injury susceptibility in professional men’s football. This emphasizes the need to address international match calendar concerns, including the number of games per season, the frequency of back-to-back games, and international travel requirements. Additionally, the findings highlight the importance of monitoring player match workloads, and implementing squad rotations and tailored training programs to mitigate injury risks.
Pharmaceutical Waste Management: A Comprehensive Analysis of Romanian Practices and Perspectives
Authors: Ionescu Ana-Maria , Cazan Cristina
Published: August 2024

Pharmaceutical waste management represents a global issue. There is a significant gap in consumers’ education regarding the proper disposal of pharmaceutical waste. A significant amount of pharmaceutical waste is generated in health care facilities, including expired medicines, unused doses, and contaminated materials. Inadequate disposal of pharmaceutical waste can have effects on human health and on the environment. Managing pharmaceutical waste requires coordinated efforts from policymakers, health care providers, pharmaceutical manufacturers, waste management companies, and consumers. The purpose of this paper is to examine the current state of activities that may impact the efficiency of Romanian pharmacists in collecting and disposing of pharmaceutical waste, as well as the intentions of pharmacists/technicians to recycle this type of waste. Furthermore, this paper aims to identify institutional and behavioral barriers that affect effective waste management. This research was conducted using quantitative and qualitative research methods. An exploratory factor analysis was used to identify the elements of satisfaction and their attribution levels in the pharmaceutical industry. The statistical significance of the differences across different occupations regarding satisfaction with pharmacists’ activities to reduce waste at each stage was tested using an analysis of variance. Cross-tabulation and a Pearson’s chi-square test were used to analyze the relationship between occupational segments and intention regarding recycling and reusing pharma waste. This research was augmented using qualitative analysis based on the Delphi technique, focused on the barriers to waste management in the pharmaceutical sector. This study presents a general perspective on the current situation of pharmaceutical waste in Romania. The results indicate that the selection of appropriate pharmaceutical waste practices is primarily determined by the attitude of individuals and organizations, followed by regulatory, economic, and technical criteria. In developing sustainable pharmaceutical waste policies, this research provides practical implications for governments, organizations, and citizens. A comprehensive approach to overcoming barriers in pharmaceutical waste management was developed by combining institutional strategies that focus on organizational policies and infrastructure with behavioral strategies that target individuals and communities.
Rapid Estimation Method of Allowable Axial Load for Existing RC Building Structures to Improve Sustainability Performance
Authors: Hwang Heejin , Oh Keunyeong , Choi Insub , Kang Jaedo , Shin Jiuk
Published: August 2024

Existing reinforced concrete building structures have low lateral resistance capacities due to seismically deficient details. Since these building structures suffer an increase in axial loads to the main structural elements due to green retrofits (e.g., installation of energy equipment/devices, roof gardens) as one of the sustainable building solutions and/or vertical extensions, their capacities can be reduced. This paper aims to propose a rapid estimation method incorporating a previously developed machine-learning model to find an allowable range of axial loads for reinforced concrete columns using simple structural details for enhancement in the sustainability performance of existing buildings in structural and energy fields. The methodology consists of two steps: (1) a machine-learning-based failure detection model, and (2) column damage limits proposed by previous researchers. To demonstrate this proposed method, an existing building structure built in the 1990s was selected, and the allowable range for the target structure was computed for both exterior and interior columns. A machine-learning-based method showed that axial loading could be increased by a factor of 1.35. Additionally, nonlinear time-history analysis for the target structure was performed to compare the seismic responses before and after applying the maximum allowable axial load. Based on the dynamic responses, the increased axial loads from green retrofits and/or vertical extensions could degrade structural performance and change its failure mode. The proposed methodology can rapidly estimate the allowable axial load range for existing reinforced concrete buildings without repeated modeling and computing processes. In addition, nonlinear time-history analysis is needed to accurately evaluate the impact of the increased axial loads from green retrofits/vertical extensions on structural performance.
Exploring the Hydrogeochemical Formation and Evolution of the Karst Aquifer System in the Yufu River Based on Hydrochemistry and Isotopes
Authors: Chen Xuequn , Han Cuihong , Li Shuxin , Wang Zezheng , Liu Dan , Guan Qinghua , Zhang Wenjing
Published: August 2024

Jinan, renowned as the “Spring City” in China, relies significantly on karst groundwater as an indispensable resource for socio-economic development, playing a crucial role in ecological regulation, tourism, and historical and cultural aspects. The Yufu River basin, situated within Jinan’s karst region, represents a vital riverine leakage zone. Therefore, investigating the evolutionary characteristics and causative mechanisms of surface water and groundwater at different aquifer levels in the Yufu River basin can provide a scientific foundation for the protection of Jinan’s springs. This study, based on hydrogeochemical and isotopic data from the river water, shallow groundwater, deep groundwater, and springs in the Yufu River basin, explored the hydrogeochemical evolution in this region. The findings revealed significant spatial variations in the hydrochemical parameters of the Yufu River basin. Groundwater received contributions from surface water, while springs represented a mixture from both surface water and various recharge aquifers. Dominant ions include Ca2+ and HCO3−, with prevailing hydrochemical types being HCO3·SO4-Ca and HCO3-Ca. Atmospheric precipitation served as the primary source of recharge for surface water and groundwater in the Yufu River basin, albeit influenced by pronounced evaporation processes. The hydrochemical composition in the Yufu River basin was primarily attributed to water–rock interactions, mainly driven by the combined effects of carbonate rock, silicate rock, and gypsum weathering and dissolution. Among these, the weathering and dissolution of carbonate rocks played a dominant role, with human activities exerting a relatively minor influence on the hydrochemistry of the Yufu River basin.
Corporate Social Responsibility, Ownership Structure, and Firm Investment Efficiency: Evidence from the Saudi Stock Market
Authors: Alobaid Rayed Obaid Hammoud , Qasem Ameen , Al-Qadasi Adel Ali
Published: August 2024

This study investigates the relationship between corporate social responsibility (CSR), ownership structure, and investment efficiency in the Saudi stock market. Analyzing data from non-financial companies listed on the Saudi Stock Exchange (Tadawul) from 2016 to 2021, the findings revealed that higher CSR disclosures were positively associated with investment efficiency. Additionally, the study found that firms with higher levels of institutional, family, or foreign ownership demonstrated more efficient investment practices. However, the study did not support the moderation effect of ownership structure on the CSR–investment efficiency nexus. These results remain robust across different alternative measures and methods. This research fills a gap in the literature by examining these relationships in an emerging market with unique governance and ownership structures. Specifically, it extends the understanding of the CSR–investment efficiency nexus beyond developed economies to include the developing context of Saudi Arabia. Furthermore, the study highlights the varying effects of different ownership structures on investment efficiency and provides a detailed analysis of how investor types respond to CSR disclosures, revealing differences from established CSR frameworks in developed markets. The study’s results offer new insights for investors, policymakers, and regulators, and open avenues for further research for academics and business professionals.
Achieving Pareto Optimum for Hybrid Geothermal–Solar (PV)–Gas Heating Systems: Minimising Lifecycle Cost and Greenhouse Gas Emissions
Authors: Zhou Yu , Narsilio Guillermo A. , Soga Kenichi , Aye Lu
Published: August 2024

This article investigates heating options for poultry houses (or sheds) in order to meet their specific indoor air temperature requirements, with case studies conducted across Australia under conditions similar to those encountered worldwide. Hybrid geothermal–solar (PV)–gas heating systems with various configurations are proposed to minimise the lifecycle costs and GHG emissions of poultry shed heating, which involves six seven-week cycles per year. The baseload heating demand is satisfied using ground-source heat pumps (GSHPs), with solar photovoltaic panels generating the electricity needed. LPG burners satisfy the remaining heating demand. Integrating these systems with GSHPs aims to minimise the overall installation costs of the heating system. The primary focus is to curtail the costs and GHG emissions of poultry shed heating with these hybrid systems, considering three different electricity offsetting scenarios. It is found that a considerable reduction in the lifecycle cost (up to 55%) and GHG emissions (up to 50%) can be achieved when hybrid systems are used for heating. The Pareto front solutions for the systems are also determined. By comparing the Pareto front solutions for various scenarios, it is found that the shave factor, a measure of the GSHP proportion of the overall system, significantly influences the lifecycle cost, while the size and utilisation of the solar PV panels significantly affect the lifecycle GHG emissions.
On Fractional Operators Involving the Incomplete Mittag-Leffler Matrix Function and Its Applications
Authors: Bakhet Ahmed , Hussain Shahid , Zayed Mohra
Published: August 2024

In this study, we derive multiple incomplete matrix Mittag-Leffler (ML) functions. We systematically investigate several properties of these incomplete matrix ML functions, which include some general properties and distinct representations of integral transforms. We further study the properties of the Riemann–Liouville fractional integrals and derivatives related to the incomplete matrix ML functions. Additionally, some interesting special cases of this work are highlighted. Finally, we establish the solution to the kinetic equations as an application.
Some Generalized Neutrosophic Metric Spaces and Fixed Point Results with Applications
Authors: Akram Mohammad , Ishtiaq Umar , Ahmad Khaleel , Lazăr Tania A. , Lazăr Vasile L. , Guran Liliana
Published: August 2024

This paper contains several novel definitions including neutrosophic Eβ metric space, neutrosophic quasi-Sβ-metric space, neutrosophic pseudo-Sβ-metric space, neutrosophic quasi-E-metric space and neutrosophic pseudo-Eβ-metric space. Further, we present some generalized fixed point results with non-trivial examples and the decomposition theorem in the setting of the neutrosophic pseudo-Eβ-metric space. Moreover, by using the main result, we examine the existence and uniqueness of the solution to an integral equation, a system of linear equations, and nonlinear fractional differential equations.
Directional Invariants of Doubly Periodic Tangles
Authors: Diamantis Ioannis , Lambropoulou Sofia , Mahmoudi Sonia
Published: August 2024

In this paper, we define novel topological invariants of doubly periodic tangles (DP tangles). DP tangles are embeddings of curves in the thickened plane with translational symmetries in two independent directions. We first organize the components of a DP tangle into different interlinked compounds, which are invariants of a DP tangle. The notion of an interlinked compound leads to the classification of DP tangles according to their directional type. We then prove that the directional type is an invariant of DP tangles using the concept of axis-motif, which can be viewed as the blueprint of a DP tangle.
On the General Divergent Arithmetic Sums over the Primes and the Symmetries of Riemann’s Zeta Function
Authors: Acedo Luis
Published: August 2024

In this paper, we address the problem of the divergent sums of general arithmetic functions over the set of primes. In classical analytic number theory, the sum of the logarithm of the prime numbers plays a crucial role. We consider the sums of powers of the logarithm of primes and its connection with Riemann’s zeta function (z.f.). This connection is achieved through the second Chebyshev function of order n, which can be estimated by exploiting the symmetry properties of Riemann’s zeta function. Finally, a heuristic approach to evaluating more general sums is also given.
Chronic Polystyrene Microplastic Exposure Reduces Testosterone Levels in Mice through Mitochondrial Oxidative Stress and BAX/BCL2-Mediated Apoptosis
Authors: Liu Yi , Li Xiaomin , Xiong Ying
Published: August 2024

Microplastics (MPs) have emerged as a major environmental issue. They have been found to cause significant reproductive toxicity and lower testosterone levels in adult males, though the exact mechanisms remain unclear. In this study, C57bl/6 mice were orally exposed to saline or varying doses (0.25, 0.5, and 1 mg/day) of 5 μm polystyrene MPs (PS-MPs) for 4 weeks, and TM3 mouse Leydig cells were treated with different concentrations of PS-MPs. Our results found that exposure to PS-MPs significantly reduced testosterone levels and impaired the synthesis function of testicular steroids. In vitro, PS-MPs reduced steroid synthesis in Leydig cells. Treatment with PS-MPs significantly increased the apoptosis rate and BAX/BCL2 ratio in Leydig cells. Additionally, GSH-px and SOD activities decreased, while MDA levels increased, along with a rise in mitochondrial ROS. In conclusion, chronic PS-MP exposure reduced testosterone levels in mice through mitochondrial oxidative stress and BAX/BCL2-mediated apoptosis. This study offers new insights into the health risks posed by MPs.
Intravesical Botulin Toxin-A Injections for Neurogenic Bladder Dysfunction in Children: Summary Update on Last 10 Years of Research
Authors: Zulli Andrea , Carletti Virginia , Mantovani Alberto , Cerruto Maria Angela , Giacomello Luca
Published: August 2024

Neurogenic bladder dysfunction (NB) represents a challenge in pediatric urology. Intravesical botulin toxin-A (BTX-A) bladder injection is part of the armamentarium for the treatment of this condition, usually after failed first-line medical strategies and before the escalation to more invasive options such as neuromodulation or augmented cystoplasty in severe cases. However, there is still a lack of consensus about the appropriate treatment modality for the pediatric population. A review of the last 10 years’ research was performed on the PubMed database by two authors. Articles doubly selected and meeting the inclusion criteria were collected and analyzed for their study type, demographics, neurological disease(s) at diagnosis, BTX-A treatment modality and duration, previous treatment, clinical and urodynamic parameters, adverse events, outcomes, and follow-ups. A total of 285 studies were initially selected, 16 of which matched the inclusion criteria. A cohort of 630 patients was treated with BTX-A at a median age of 9.7 years, 40% of which had a diagnosis of myelomeningocele. The results of the selected publications show the overall efficacy and safety of BTX-A injections in children and confirmed BTX-A as a valuable strategy for NB treatment in pediatric population. Nevertheless, up to now, the literature on this topic offers scarce uniformity among the published series and poor protocol standardization.
Isolation of the Initial Bovine Alphaherpesvirus 1 Isolate from Yanbian, China
Authors: Hao Jingrui , Fu Jingfeng , Yu Kai , Gao Xu , Zang Keyan , Ma Haoyuan , Xue Haowen , Song Yanhao , Zhu Kunru , Yang Meng , Zhang Yaning
Published: August 2024

Bovine infectious rhinotracheitis (IBR), caused by bovine alphaherpesvirus 1 (BoAHV1), poses significant challenges to the global cattle industry due to its high contagiousness and economic impact. In our study, we successfully isolated a BoAHV1 strain from suspected infected bovine nasal mucus samples in Yanji city, revealing genetic similarities with strains from Sichuan, Egypt, and the USA, while strains from Xinjiang, Beijing, Hebei, and Inner Mongolia showed more distant associations, indicating potential cross-border transmission. Additionally, our investigation of BoAHV1 infection dynamics within host cells revealed early upregulation of gB, which is critical for sustained infection, while the expression of gC and gD showed variations compared to previous studies. These findings enhance our understanding of BoAHV1 diversity and infection kinetics, underscoring the importance of international collaboration for effective surveillance and control strategies. Furthermore, they lay the groundwork for the development of targeted therapeutics and vaccines to mitigate the impact of IBR on the cattle industry.
Microbiota in Mild Inflammatory Bowel Disease (IBD) Can Be Modulated by Beta-Glucans and Mannanoligosaccharides: A Randomized, Double-Blinded Study in Dogs
Authors: Amaral Andressa Rodrigues , Rentas Mariana Fragoso , Rosa Thais Caroline Taveira , Pereira Thais Araújo Esteves , Marchi Pedro Henrique , Teixeira Fabio Alves , Filho Fernando de Oliveira Roberti , Putarov Thaila Cristina , Cogliati Bruno , Vendramini Thiago Henrique Annibale , Balieiro Júlio Cesar de Carvalho , Brunetto Marcio Antonio
Published: August 2024

Inflammatory bowel disease (IBD) in dogs is the most common chronic gastrointestinal disease in dogs. Its etiology evolves an aberrant immunological response towards food antigens and indigenous bacteria in the gut bacteria and, consequently, dysbiosis. Prebiotics provide substrates for the growth of beneficial bacteria and promote the production of beneficial fermentation products. This study aimed to evaluate the effects of oral supplementations of beta-glucans and mannanoligosaccharides (MOSs) over 60 days in fecal microbiota and fecal concentrations of fermentation products in dogs with mild IBD. Eighteen dogs with mild IBD were divided into three experimental groups in a blinded and randomized manner: A—dogs received 0.1% of a beta-glucan-based prebiotic, B—dogs received 0.1% of a MOS + beta-glucan-based prebiotic, and C—dogs received 0.1% of a placebo. Fecal microbiota was analyzed using the latest generation 16S rRNA sequencing (Illumina®). Relative abundances of each taxon were analyzed using a generalized linear model, and fermentation products using a mixed model. A significance level of p was used. The prebiotics positively modulated the bacterial population of Firmicutes and Bacteroidetes. Treatment A improved alpha diversity and populations of beneficial bacteria. Beta-glucan supplementation for 60 days had beneficial effects on modulating intestinal microbiota in dogs with mild IBD.