bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of Smart Grid and Application of Microgrid Technologies in Western Pipeline Company
Authors: Duan Pengcheng 
Published: July 2024

Abstract
The energy sector is undergoing a significant transformation, driven by the urgent need to address climate change, enhance energy security, and cater to the growing demand for electricity. In the context of escalating global energy demands and environmental concerns, this study investigates the integration and application of smart grid and microgrid technologies within the Western Pipeline Company’s operations. Addressing the critical need for sustainable energy solutions, our research focuses on enhancing system efficiency, reliability, and user satisfaction while reducing environmental impacts. Our findings reveal significant improvements in peak load reduction (15.3%), total energy reduction (20.46%), and carbon emission reduction (30.01%) compared to conventional methods. Moreover, the study demonstrates a marked increase in system reliability (95.35%) and a substantial decrease in response times (2.6 seconds), highlighting the efficiency of our integrated energy management strategies. The research also underscores notable advancements in customer satisfaction (90.13%), maintenance cost reduction (50.4%), and renewable energy utilization (75.80%), affirming the effectiveness and economic viability of implementing advanced grid technologies.
Research on the performance and thermal comfort of CO2 heat pump heating system in high altitude area
Authors: Wang Xinyu , Xiong Chengyan , Luo Huilong , Xia Yuping , Du Peijian , Yang Xiaochuan 
Published: July 2024

Abstract
In view of the complex climate in high altitude areas, a high altitude CO
2 air source heat pump heating system was constructed in this study, and the energy consumption of the system in one heating season (198 days) was statistically analysed, which showed that the annual average COP of the system was 2.95. Compared with conventional heat pumps, gas boilers, and electric boilers, CO
2 heat pumps reduce annual carbon emissions in high altitude areas by 9.6t, 31.1t, and 30.4t, and the payback period is 5.7 years, 3.2 years, and 2.5 years, respectively. and 30.4t of carbon emissions, with payback payback cycles of 5.7, 3.2 and 2.5 years, respectively. At the end of the heating period, the study also conducted a thermal comfort questionnaire survey for the heat users, and the results showed that the CO
2 heat pump heating system at high altitude was able to fully satisfy the indoor thermal comfort requirements while maintaining the superior performance. This study shows that CO
2 heat pumps have significant advantages in high-altitude heating applications and provides a reference for subsequent studies.
Toward a satellite-based monitoring system for urban CO2 emissions in support of global collective climate mitigation actions
Authors: Wilmot Taylor Y , Lin John C , Wu Dien , Oda Tomohiro , Kort Eric A 
Published: July 2024

Abstract
Over the past decade, 1000s of cities have pledged reductions in carbon dioxide emissions. However, tracking progress toward these pledges has largely relied exclusively on activity-based, self-reported emissions inventories, which often underestimate emissions due to incomplete accounting. Furthermore, the lack of a consistent framework that may be deployed broadly, across political boundaries, hampers understanding of changes in both city-scale emissions and the global summation of urban emissions mitigation actions, with insight being particularly limited for cities within the global south. Given the pressing need for rapid decarbonization, development of a consistent framework that tracks progress toward city-scale emissions reduction targets, while providing actionable information for policy makers, will be critical. Here, we combine satellite-based observations of atmospheric carbon dioxide and an atmospheric model to present an atmospherically-based framework for monitoring changes in urban emissions and related intensity metrics. Application of this framework to 77 cities captures ∼16% of global carbon dioxide emissions, similar in magnitude to the total direct emissions of the United States or Europe, and demonstrates the framework’s ability to track changes in emissions via satellite-observation. COVID-19 lockdowns correspond to an average ∼21% reduction in emissions across urban systems over March–May of 2020 relative to non-lockdown years. Urban scaling analyses suggest that per capita energy savings drive decreases in emissions per capita as population density increases, while local affluence and economic development correspond to increasing emissions. Results highlight the potential for a global atmospherically-based monitoring framework to complement activity-based inventories and provide actionable information regarding interactions between city-scale emissions and local policy actions.
A Fusion of Histogram Equalization Technique and Fuzzy Logic for Sustained Enhancement of images
Authors: Padmavathy N , Suresh Naidu N , Harshitha V. 
Published: July 2024

Abstract
A primary method for visually representing ideas is through images, typicallycaptured using cameras. However, these captured images, whether in video or still form, oftensuffer from issues like blurriness, noise, low intensity, and differences in luminance and light intensityresulting from digitization procedure. Image enhancement becomes crucial in elevating the quality ofthese images. This paper introduces a novel approach that leverages fuzzy concepts onhistogram-equalized images for color image enhancement, facilitating a refined adjustment oflight and dark areas and thereby improving The global contrast characteristics exhibited by an image. The paper incorporates wavelet transform alongside fuzzy-enhanced histogram equalization to decompose the image into its fundamental spectral components. Further, employing image conversiontechniques allows for enhancing the image resolution effectively. The performance of thisproposed approach, surpasses the results that of the conventional histogram equalizationmethod. The evaluation metrics, including peak signal-to-noise ratio, and mean square errorestimation, indicate the superiority of the proposed approach. Experimental findings demonstrate that the proposed method effectively enhances low-contrast images, achieving not only improvements in global brightness and contrast but also the preservation of intricate details while effectively mitigating noise. Thiscomprehensive approach ensures sustained improvements in image quality, offering apromising solution for addressing common issues associated with digitized images
Performance Comparison of Random Forest Regressor and Support Vector Regression for Solar Energy Prediction
Authors: Lakshmi Yerrabolu Venkata , Kasireddy Idamakanti , Jasmine K M , Murali Krishna Vamsi T B , Joshua N , Shyam Kumar V , Rao DSNM 
Published: July 2024

Abstract
This study conducts a comparative analysis between the Random Forest Regressor (RFR) and Support Vector Regression (SVR) for solar energy prediction. Solar energy, a prominent renewable energy source, but its predictability is challenging due to changing weather conditions. Micro grid operators, responsible for managing smaller, localized energy systems, often struggle to balance supply and demand efficiently because of the unpredictable nature of solar energy. To tackle this issue, we use machine learning models, RFR and SVR, with historical weather data including dew point, temperature, cloud cover, visibility and wind. Outcomes focus the superior performance of the Random Forest Regressor process compared to the Support Vector Regression in forecasting solar energy, demonstrating its potential for enhancing reliability in solar energy prediction models.
Improving the Efficiency of Photovoltaic Systems through Hybrid Energy Storage Management for DC Applications
Authors: Arunan R , Janardhanan V , Mohana Sundaram N , Mathan Kumar M 
Published: July 2024

Abstract
For the vast majority of independent photovoltaic (PV) systems to consistently supply electricity to the load during times of poor solar irradiation, they require an energy storage medium. Photovoltaic panels are not a dependable source for supplying the load and charging batteries for future usage due to their reliance on weather conditions and inconsistent output, making it challenging to maintain an ideal charge/discharge cycle. Combining supercapacitors/ultracapacitors and Li-ion batteries could be used to resolve the previously described issue and improve the system’s overall effectiveness and dependability. This hybrid system’s main goals are to increase battery life and offer a reliable DC power source. The hybrid energy storage system developed using MATLAB Simulink is used to control the energy management system. The chosen battery charging strategy and a maximum power point tracking (MPPT) function will both be included in the energy management system. The simulation findings demonstrate that while supplying energy to the DC motor load and other related DC load applications, the hybrid storage system may achieve greater efficiency and reliability than the battery storage system.
Real-Time Precision Irrigation System for Optimal Crop Yield and Water Conservation
Authors: Prakash Korlepara N S D , Narasimha Raju V S N , Satyanarayana P.V.V. , Sunil Kumar V. , Jahnavi Priya Y. , Harsha Vardan D. 
Published: July 2024

Abstract
In contemporary farming, efficient water management plays a crucial role in achieving optimal crop yields, endorsing water conservation, and upholding ecological balance. Current irrigation systems often lack precision, resulting in water wastage, suboptimal plant growth, and environmental degradation. This issue is pronounced evident in piped and micro irrigation networks, where manual control fails to adapt to fluctuating soil moisture conditions. This inconsistency in water distribution negatively affects agricultural yield and water conservation efforts. The core problem is the absence of an automated mechanism to regulate water release based on real-time soil moisture and centralised monitoring system. To tackle this, we’ve developed a real-time unified monitoring platform for automatic regulation of water release valves. Through the integration of soil moisture sensors, monitoring systems, and decision-making processes, our solution addresses the gap between water supply and crop demand, enhancing resource utilization and minimizing environmental impact. The amalgamation of instantaneous soil moisture information from various sensors into a centralized dashboard demands robust mechanisms for data collection, transmission, and processing. This real-time model, which unequivocally scrutinizes soil moisture data and associated parameters, significantly contributes to informed decisions concerning the timing and volume of water release.
Near Unity Power Factor Correction Vienna Rectifier for Plug-In Type Three Phase EV Charging Station
Authors: Kavya Santhoshi B. , Ravi kishore D. , Sailakshmi Kommushatti , Sravani Ganta D.S.L , Durga prasanna Avapati 
Published: July 2024

Abstract
With the growing incorporation of Electric Vehicles (EVs) into the transportation sector, there is an increasing need for reliable and efficient EV charging infrastructure. This paper introduces a near unity Power Factor Correction (PFC) Vienna rectifier is designed specifically for plug-in type three phase EV charging stations. The Vienna rectifier is selected for its superior efficiency, lower Total Harmonic Distortion (THD) and capability to handle high power density applications. The proposed rectifier system achieves near-unity power factor that is crucial for reducing reactive power and improving overall power quality. Through the comprehensive simulation studies and validations, the rectifier’s performance is analysed under various operating conditions, demonstrating its effectiveness in providing a stable high-quality DC output. This research highlights the pivotal role of advanced rectifier technology in enhancing the performance and reliability of modern EV charging stations, contributing to a more sustainable and efficient power grid.
Multi-resonance plasmonic refractive index sensor based on maze-shaped resonators for biological applications
Authors: Majidi Zahra , Ghanavati Mohammad , Karami Mohammad Azim 
Published: July 2024

Abstract
Herein, a plasmonic refractive index (RI) sensor based on a metal–insulator–metal waveguide coupled with maze-shaped resonators is proposed and numerically investigated using finite element method. Various geometrical parameter impacts on the transmission spectrum are examined to optimize the sensor’s performance. Additionally, the effect of using SiO2 as a dielectric material instead of air has been investigated. The proposed sensor can achieve maximum RI sensitivity, figure of merit, and sensing resolution of 3340 nm RIU−1, 143.33 RIU−1, and 2.99 × 10−6 RIU, respectively, in the 500–3500 nm wavelength range. The designed structure is investigated for potential applications in different biological fields, including detecting cancer cells, determining blood hemoglobin (HB) levels, and glucose concentrations. This sensor can detect MCF-7 cancer cells with a maximum sensitivity of 3543 nm RIU−1 and can achieve the sensitivity of 0.407 nm·l g−1 for glucose concentration and 3329.41 nm RIU−1 for blood HB level. The structure presented in this study has promising specifications, making it suitable for use in optical integrated circuits, particularly in highly sensitive sensors.
Sobolev mappings on metric spaces and Minkowski dimension
Authors: Chrontsios-Garitsis Efstathios-K. 
Published: July 2024

We introduce the class of compactly Hölder mappings between metric spaces and determine the extent to which they distort the Minkowski dimension. These mappings are defined purely with metric notions and can be seen as a generalization of Sobolev mappings, without the requirement for a measure on the source space. In fact, we show that if

f
:
X
→
Y

f:X\rightarrow Y

is a continuous mapping lying in some super-critical Newtonian-Sobolev space

N

1
,
p

(
X
,
μ
)

N^{1,p}(X,\mu )

, under standard assumptions on the metric measure space

(
X
,
d
,
μ
)

(X,d,\mu )

, it is then a compactly Hölder mapping. The dimension distortion result we obtain is new even for Sobolev mappings between weighted Euclidean spaces and generalizes previous results of Kaufman [Proc. Amer. Math. Soc. 128 (2000), pp. 427–431] and Bishop-Hakobyan-Williams [Geom. Funct. Anal. 26 (2016), pp. 379–421].
Aristotle on What Emotions Are
Authors: Pearson Giles 
Published: July 2024

Abstract
This book provides the first systematic interpretation of what Aristotle thinks occurrent emotions are and points to some philosophical merits of his account. It is argued that he holds that emotions are representational pleasures or distresses that are formed in response to other intentional states that apprehend their objects. Even this bare formulation of his view is notable in several respects. First, the idea that the pleasures or distresses of emotions are representational—directed at objects in the world (or ourselves)—contrasts sharply with accounts that identify emotions with non-representational sensations or feelings. Second, the notion that emotions are pleasurable or distressful responses to other intentional states that apprehend their objects provides a fundamental contrast with many current accounts which instead view emotions as (in part) modes of apprehension or kinds of epistemic state themselves. Third, Aristotle’s view stands in opposition to motivational accounts of emotions, insofar as while he thinks that emotions interact with desires or motivational states in important ways, he does not think they are themselves (even in part) motivational states. They are representational pleasures or distresses alone. Together, these three points give Aristotle a novel understanding of the representational role emotions play; namely, neither descriptive, nor prescriptive, but reactive. Besides developing these ideas, both textually and philosophically, the book also explores how Aristotle individuates emotion types; his understanding of the material dimension of emotions; and how his view can provide a novel explanation of recalcitrant emotions, a notoriously problematic phenomenon for many recent accounts of emotions.
Emotions and the Account(s) of Pleasure in the Ethics
Authors: Pearson Giles 
Published: July 2024

Abstract
This chapter considers Aristotle’s view in relation to the account(s) of pleasure we find in his ethical works (and, briefly, the account in Rhetoric I.11). Although in the ethical works Aristotle is addressing taking pleasure in a (sensory or thought-based) activity, rather than representational pleasures as such, it is argued that his views there are compatible with his account of the emotions (as that has been developed). This is established by addressing two objections to the idea: (1) concerning the idea that even without identifying pleasures and activities in Nicomachean Ethics X, the connection he there specifies between the two is still too tight for his account of the emotions; (2) pertaining to defective pleasures. The chapter also considers two recent readings of what Aristotle means by pleasure ‘perfecting’ activities and suggests that one of these may provide him with an explanation of the phenomenological or felt dimension of emotions.
Contrast with a Contemporary Motivational Theory. Which Representational Role(s) Do Emotions Play?
Authors: Pearson Giles 
Published: July 2024

Abstract
Part IV (Chapters 11–12) provides some further philosophical reflections on Aristotle’s account. This chapter contrasts his view of emotions as representational pleasures/distresses with a current motivational account, according to which emotions essentially involve motivations or action tendencies. It is argued that Aristotle’s view gives a better explanation of why many emotions do not seem to connect to desires or motivations in the way the motivational theory proposes. It is also shown that his view gives a superior account of acting emotionally than the motivational theory (which itself improves on belief-desire cognitivist theories). Finally, the chapter considers the different representational role(s) that emotions play according to various theories. Aristotle’s view is distinctive in that it implies that emotions play neither a descriptive nor a prescriptive role (nor both). While emotions bear interesting relations to intentional states that play these roles, they themselves play only what is termed a ‘reactive’ or ‘responsive’ role.
Converting Verse
Authors: Ungvary David 
Published: July 2024

Abstract
This book is concerned with the Christianization of Latin poetry during the turbulent fifth century, a period in which the Roman world experienced barbarian incursion, the rise of monasticism, and the collapse of the Western Empire itself. Exploration focuses on Christian verse composed within contexts shaped by the dynamic ascetic movement of southern Gaul, and reveals a world of competing theories of poetry and practices of Christian writing. In the fifth century, Christian poetry became an especially contested discourse. Ascendant ascetic authorities promoted ethics of thinking, speaking, reading, and writing that were distinctive from, and sometimes opposed to, the premises and practices of the classical poetic tradition. Aristocratic authors, moved by these ascetic ideas and facing a decline in the imperial structures from which they had once derived support, became consumed by the challenge of converting the prestigious forms and language of classicizing poetry into useful facets of Christian piety. The book explicates the strategies that Gallo-Roman poets crafted to integrate classical literary habits within their intensifying Christian lives, as well as to express the ambiguities that attended changes of identity, practice, and belief. Employing approaches from classical studies, religious studies, and literary theory, it argues that the significance of Christian poetic experimentation was not restricted to the aesthetic domain, but had profound social and cultural implications as well. In Latin Late Antiquity, Christian verse writing became one of the most distinctive modes for negotiating cultural boundaries between the sacred and the secular, the classical and the Christian.
The Chain Tower before Damietta, 1218
Authors: Marvin Laurence W 
Published: July 2024

Abstract
Chapter 3 describes how the crusade army got to Egypt, set up camps, and besieged the Chain Tower. As the army sailed for Egypt, contrary weather separated it, so only a partial force made the initial landing. These established a fortified camp north of Damietta on the Nile’s west side and elected a temporary leader. After the rest arrived, the notables elected John, titular King of Jerusalem, as commander. To threaten Cairo, the crusaders had to control the city of Damietta on the Nile’s east bank. The city was impossible to draw close to because of chains on pontoons stretching from the Nile’s east edge to a tower located on a small island in the Nile. The crusaders besieged the Chain Tower using various unsuccessful stratagems. Eventually they built a large structure on two conjoined ships to lower a bridge on the Chain Tower’s top, and, after an assault, caused the garrison to capitulate. Sultan al-‘Adil died, leaving the Ayyubid empire divided between several sons. Al-Kamil, al-‘Adil’s heir as sultan of Egypt, constructed a camp, called al-‘Adilya, across from the crusaders, preventing them from slipping by on the Nile. He also placed underwater obstructions to block crusader ships from sailing close to Damietta. That fall he conducted several unsuccessful attacks. As crusaders departed reinforcements arrived, among them Cardinal Pelagius, the papal legate assigned to the crusade. In November severe storms caused flooding for both crusaders and Egyptians. The crusaders also suffered from food shortages and cold weather.
Isolation of microorganisms from the feces of Kitasato Yakumo beef cattle as bioactive natural product producers
Authors: Kimishima Aoi , Nishitomi Atsuka , Kondo Naozumi , Honma Sota , Honsho Masako , Negami Sota , Maruyama Serino , Taguchi Kazuki , Matsui Hidehito , Hanaki Hideaki , Chinen Takumi , Usui Takeo , Ogasawara Hideki , Asami Yukihiro 
Published: July 2024

Abstract
We envisioned that the rumen of Kitasato Yakumo beef cattle would contain unique microorganisms which produce bioactive compounds as their defense response to the external environment. The variety of microorganisms were collected from the feces of Kitasato Yakumo beef cattle. We evaluated the biological activity of the culture broth of the isolated strains, proving the utility of our approach.