bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the state monitoring system and low-temperature performance degradation of PEMFC
Authors: Tian Tao , Dou Yinke , Wang Jin , Lin Zekun 
Published: September 2024

Abstract
This paper presents the design and implementation of a Proton Exchange Membrane Fuel Cell (PEMFC) condition monitoring system. The system is capable of real-time monitoring of key parameters of the fuel cell, including voltage, current, temperature, and humidity, and transmits data to the upper computer through a microcontroller. The upper computer software utilizes the LabView platform, which not only parses and processes the data but also visually displays parameter changes through graphical interfaces such as waveform diagrams and circular instruments. The experiment verified that the system can accurately evaluate the output performance and life attenuation of fuel cells. A fuel cell status monitoring system for low temperatures can provide important data for the application and performance optimization of fuel cells in extreme environments. This research is of great significance in promoting the application of hydrogen energy technology and the development of the hydrogen energy industry.
Research on energy storage capacity planning based on AGC strategy of new energy power station
Authors: Wang Zhenyi , Ye Hua , Lu Xuegang , Shen Li 
Published: September 2024

Abstract
With the rapid development of emerging energy technologies, the percentage of clean energy in the power system has increased. However, the uncertainty surrounding the output of new energy sources contributes to the need for further analysis and evaluation, and its grid supply point will bring challenges to the network frequency. This paper studies this issue. First, different frequency response models are established. Secondly, it proposes a frequency response fuzzy control strategy to the frequency response capability of new energy power stations for the generation control of the collaborative wind energy and energy storage system. Meanwhile, the particle swarm optimization algorithm is used to solve the optimal configuration of energy storage capacity. The actual case is analyzed to verify that the AGC strategy is effective.
Research on monitoring and energy management systems for energy storage stations on the power generation side
Authors: Zhang Juan , Ma Shuli , Zhou Zhenzhen , Guan Yingying 
Published: September 2024

Abstract
Addressing the challenges of limited operational efficiency, inadequate battery safety, inflexible system scalability, inadequate AGC/AVC functionality, and low levels of intelligent operation and maintenance encountered by energy storage power stations integrated with new energy generation sources, this article delves into the pivotal role of these power stations on the generation side. It meticulously examines the network architecture, functional framework, and pivotal technologies underpinning the system. Furthermore, the article proposes a comprehensive monitoring and energy management system tailored specifically for energy storage on the generation side. The system uses micro-service architecture and container technology to realize the processing and storage of massive data. Through complete isolation of the information network and control network and millisecond communication with GOOSE, the charging and discharging response speed of the energy storage station is greatly improved. The power allocation algorithm based on device status recognition completes the system’s high-precision power control of PCS, and this system uses big data analysis and data mining technology to conduct a comprehensive statistical analysis of battery health status, power station operation efficiency, and equipment operation status and energy consumption. The design of the system has favorable technical and application guidance for the subsequent energy management design and engineering application of the energy storage power station.
Agile in Automotive: A Literature Review
Authors: Bence Venczel Tamás , Hriczó Krisztián , Berényi László 
Published: September 2024

Abstract
The automotive industry faces increasing pressure to adapt to rapidly changing market demands while maintaining efficiency and quality standards. Agile methodologies have gained attention to enhance flexibility, responsiveness, and innovation in automotive manufacturing and software development. This paper provides a comprehensive review of recent research trends and gaps in the application of agile methodologies within the automotive sector. We analyzed a dataset comprising articles from Scopus, Google Scholar, and Crossref, identifying key themes, such as hybrid lean-agile manufacturing, supply chain management, and automotive software development. Furthermore, we highlight emerging trends and potential areas for future research, including resilience in the automotive industry, integration of green practices, and cross-cultural perspectives.
Effects of Tool Geometry Parameters on Clinched Joint Strength Using FEM
Authors: Shukurea Rahmato Abdulhakim , Zoltán Kovács Péter 
Published: September 2024

Abstract
Clinching joining is one of the predominant techniques used to join aluminium alloys in the automotive industry. Although the technique can be easily automated, cost-effective, and not affect the material’s mechanical properties during the joining process, the tool geometry parameters significantly affect the strength of the clinched joint. Therefore, a precise finite element model is critical to improve the strength and reduce the cliched joint’s production cost. This study investigated the effect of the punch fillet radius, the punch angle, the die diameter and the die depth on the strength of the clinched joint of 5754 aluminium alloys. The clinched joint was produced with different geometry parameters. The cross-section of the clinched joints was observed. In the meantime, the interlocking value, the neck thickness, and tool parameters were measured to investigate the joinability of the aluminium alloys. The static tensile shear tests were also conducted using the universal tensile machine. Numerical studies have been conducted to analyse the influence of the geometrical parameters using a 2D axisymmetric model. As a result, the numerical results agreed with the experimental results. Additionally, the result showed that the tool geometry significantly impacted the strength of the clinched joint of aluminium alloys. The study concluded that the neck thickness and the interlocking value have played a vital role in the enhancement of the cliched joint strength.
n-γ discrimination in low energy region using Artificial Neural Network based on improved traditional methods
Authors: Hu Xinyi , Yuan Wanghui , Wang Xuanxi , Jiang Xiaofei 
Published: September 2024

Abstract
The n-γ signals in low energy region are difficult to be discriminated because of the ambiguous energy loss, partial overlapping of energy spectra and the presence of noise. In this paper, an n-γ discrimination method combining the improved traditional methods with Artificial Neural Network (ANN) in low energy region is proposed. Firstly, this paper improves the Charge Comparison Method (CCM) and Discrete Wavelet Transform (DWT). With respect to the original method, the discrimination parameter of Improved CCM adds different charge time distributions, and the discrimination parameter of Improved DWT adds the second smallest scale. Then, the n-γ data co-screened by Improved CCM and Improved DWT are used as the dataset of ANN. These low-energy data co-screened by Improved CCM and Improved DWT are more discriminant, which is conducive to improving the reliability and generalization ability of the ANN model. Finally, elastic net regularization technique is added to the ANN model, different ANNs are compared using F1 score (F
1) and Discrimination Error Ratio (DER). In this paper, the pulse waveforms generated by the EJ301 liquid scintillator detector in a real environment are processed. The experimental results indicate that, compared to traditional methods, the FoM values of Improved CCM and Improved DWT increased by 7.7% and 76% respectively in 0–25 keV, 2.8% and 28.7% respectively in 25–50 keV. The comparison results of F
1 and DER demonstrate that the ANN using the n-γ dataset determined by Improved CCM and Improved DWT has higher F
1 and lower DER. Therefore, the ANN proposed in this paper, based on improved traditional methods and elastic net regularization, exhibits higher reliability and generalization ability in low energy region. Additionally, increasing the batch size of model is beneficial for higher efficiency.
Development of chitosan/sodium carboxymethyl cellulose-based polyelectrolyte complex of dexamethasone for treatment of anterior uveitis
Authors: Mujtaba Md Ali , Desai Harita , Ambekar Anju , Fule Ritesh , Pande Shriya , Warsi Musarrat Husain , Elhassan Gamal Osman , Taha Murtada , Anwer Khalid , Golghate Tarkeshwar devidas 
Published: September 2024

Abstract
Anterior uveitis is one of the most prevalent forms of ocular inflammation caused by infections, trauma, and other idiopathic conditions if not treated properly, it can cause complete blindness. Therefore, this study aimed to formulate and evaluate dexamethasone sodium phosphate (DSP) loaded polyelectrolyte complex (PEC) nanoparticles (NPs) for the treatment of anterior uveitis. DSP-loaded PEC-NPs were formed through complex coacervation by mixing low molecular weight chitosan and the anionic polymer carboxy methyl cellulose (CMC). The formulations were optimized using Box–Behnken design and evaluated the effect of independent variables: Chitosan concentration, CMC concentration, and pH of chitosan solution on the dependent variables: particle size (PS), Polydispersity Index (PDI), pH of the formulation, and % entrapment efficacy (%EE). The PS, PDI, zeta potential, and pH of the optimized formulation were found 451 ± 82.0995 nm, 0.3807 ± 0.1862, +20.33 ± 1.04 mV and 6.8367 ± 0.0737 respectively. The %EE and drug loading of formulation were 61.66 ± 4.2914% and 21.442 ± 1.814% respectively. In vitro drug release studies of optimized formulation showed the prolonged release up to 12 h whereas, the marketed formulation showed the burst release 85.625 ± 4.3062% in 1 h and 98.1462 ± 3.0921% at 6 h, respectively. Fourier transform infrared studies suggested the effective incorporation of the drug into the PEC-NPs formulation whereas differential scanning calorimetry and x-ray diffraction studies showed the amorphized nature of the drug in the formulation. Transmission electron microscopy study showed self-assembled, nearly spherical, core–shell nanostructures. The corneal permeation study showed higher permeation of the drug from PEC-NPs compared to the marketed formulation. Hen’s Eggs test-Chorioallantoic Membrane test of the optimized formulation revealed non-irritant and safe for ocular administration. Therefore, DSP-loaded PEC-NPs are an effective substitute for conventional eye drops due to their ability to increase bioavailability through longer precorneal retention duration and sustained drug release.
The antifungal activity of Andrographis paniculata and its effects on Oryza sativa germination and growth
Authors: Ghazali A H , Zain W Z W M , Kalit S N D M , Wahab M Z A , Ramli N W , Hamid N A , Musa S A N C , Aziman N 
Published: September 2024

Abstract
Rice cultivation is severely affected by fungal diseases such as blasts, stunted growth, and Bakanae disease, leading to reduced production and consumption problems. This study aimed to investigate the antifungal properties of Andrographis paniculata crude methanol, hexane, and dichloromethane extracts against Fusarium oxysporum and Fusarium proliferatum. Additionally, the effects of these botanical extracts on seed germination and seedling development Oryza sativa were examined. The antifungal activity was assessed using the agar well diffusion test, minimal inhibitory concentration, and minimal fungicidal concentration. The results revealed that the A. paniculata methanol extract exhibited the highest antifungal activity at 0.5% concentration, with mycelial inhibition percentages of 42.85% and 38.46% against F. oxysporum and F. proliferatum, respectively. The hexane and dichloromethane leaf extracts also showed antifungal properties, with mycelial inhibition percentages of (28.57, 30.76%) and (39.28%, 34.61%) against the two fungi, respectively. Furthermore, A. paniculata extract (0.5%) enhanced the growth of O. sativa infected with F. proliferatum, resulting in a significant increase in plant height (66.7cm) by day 30 compared to other treatments. These findings suggest that A. paniculata extracts can be used as seed treatment for limiting fungal infections in O. sativa and promoting seed germination and seedling growth in O. sativa.
Development of disease detection mobile application for pineapple
Authors: Sophan P N A S , Ismail S A , Sadikan S F N 
Published: September 2024

Abstract
Pineapple (Ananas comosus) is a tropical fruit that is widely distributed throughout the world. The cultivation of pineapples, which holds great economic importance in the field of agriculture, encounters ongoing difficulties regarding the detection and control of diseases that affect both the quantity and quality of the yield. Manual disease detection in pineapple crops is challenging due to subjective evaluations, laborious processes, and financial losses. Manual methods can lead to delayed disease identification and specialised knowledge, limiting precise disease diagnosis. The need for effective disease detection tools has prompted the investigation of mobile applications as an ideal solution. To address these issues, automated disease scanning technology systems utilising computer vision and machine learning are essential. The Successive Approximation Model (SAM) was used for instructional design that emphasises a rapid and iterative development process. The development process involves three phases: design, development, and evaluation. The developed mobile application was then evaluated using a questionnaire to get user’s feedback and evaluate the accuracy of information provided by the application. Reporting on the result from Likert Scale, most of the score showed values four and above which indicated positive response on the usability and accuracy of disease detection by the mobile application. As a conclusion, the development of this mobile application gives a positive response to users to promptly detect and control diseases, thereby reducing the possibility of crop damage.
Effects of ageing on the chemical composition and instrumental tenderness of swamp buffalo meat reared under an open grazing system
Authors: Amin F M , Aminudin D , Idris L H , Hassim H A , Bakar M Z A 
Published: September 2024

Abstract
Meat ageing has been widely used to improve the palatability and acceptance of meat among consumers. In Malaysia, swamp buffalo are frequently used as labour and may cause toughness and reduce meat quality. Meat ageing is highly debated, and consumers worry about the deterioration of nutritive value. Six males reared under open grazing system, aged 18-24 months, and weighing at 290 ± 2.90 kg were slaughtered. 300g meat samples each from Longissimus dorsi (LD), Supraspinatus (SS) and Semitendinosus (ST) were collected. The ageing was determined at 1 day, 7 days and 14 days period. The proximate analysis for moisture, ash, crude fat, crude protein, cholesterol, and energy as well as the Warner-Bratzler shear force for tenderness was conducted. The moisture content of SS and ST was significantly reduced (p≤0.05) following ageing. However, the moisture content of LD remained unchanged (p≥0.05). Ageing also significantly lowered (p≤0.05) the crude fat content in SS and ST. Surprisingly, the crude fat content in LD showed the lowest among all the muscles (p≤0.05) only on day 1, while at other ageing periods, the difference was not significant (p≥0.05). The gross energy of LD and SS showed a significant reduction from day 1 to day 14 (p≤0.05). The tenderness of all muscles improved (p≤0.05) as the ageing increased, however, the comparative tenderness of all muscles was only observed at day 14 of ageing. It is firmly established that meat ageing improved tenderness but did not affect all the major nutritional compositions.
Exploring the challenges faced by the harvester in oil palm plantation in Semporna, Sabah; A qualitative study
Authors: Mohd Asnan N F F , Azizan A , Saili A R , Wan Yusuf S M , Syahlan S , Francis F , Dahlan L D , Kulai D , Youlla D , Ekawati  
Published: September 2024

Abstract
Malaysia is the second-largest global producer of palm oil, providing about one-third of the world’s supply. Currently, the country’s palm oil industry heavily depends on foreign labor, especially for the strenuous task of harvesting. Local workers often avoid such jobs labeled as Dirty, Difficult, Dangerous (3D) work due to their challenging and hazardous nature. Harvesting plays a crucial role in the oil palm production process. It is essential to promptly harvest the Fresh Fruit Bunch (FFB) when it ripens to ensure high-quality oil extraction. An average oil palm bunch weighs between 20 to 25 kilograms and contains roughly 1,000 to 3,000 fruitlets. To understand the difficulties faced by harvesters, a qualitative study was conducted in a Semporna, Sabah oil palm plantation. Six seasoned harvesters were interviewed to gain valuable insights. The study highlighted issues like strenuous physical labor, harsh weather conditions, injuries, and health concerns arising from the demanding nature of the job. To address these challenges, the plantation adheres to OSHA standards, requiring all harvesters to wear Personal Protective Equipment (PPE) such as helmets and boots. Additionally, the plantation provides training for new employees, overseen by their staff. In contrast, experienced workers do not undergo further training but focus on mentoring new harvesters on proper harvesting techniques.
Playgoers
Authors: Watt Gary 
Published: September 2024

Abstract
This chapter proposes early modern playgoers as a sort of jury with power to pass judgment on a play. It focuses especially upon the ways in which sounds, and sound effects, attuned them to be a judicial audience, to render a fair hearing, and to reach a sound judgment. Judgment on the quality of a performance is made in the critical faculty (the factory) of the beholder, but the operation can work to tragic effect if the judgment of the ear is seduced by misleading sounds or indeed if the ear is ignored entirely because of the overriding seductions of sight. Othello is offered as an extended case study of this sort, noting that Othello is depicted as if he were a judge in the ecclesiastical consistory court (the so-called bawdy court) where cases of slander and fornication were common.
Phryne of Thespiae
Authors: McClure Laura 
Published: September 2024

Abstract
Phryne of Thespiae: Courtesan, Muse, and Myth attempts to reconstruct the life of an Athenian courtesan who lived and worked in fourth-century Athens. Although considered the most famous of the many Greek courtesans who flocked to Athens during this period, Phryne became even more popular in the later literary tradition, which continually reimagined and embellished her stories. They recounted again and again how she served as the model for the Praxiteles’ Cnidian Aphrodite, the first monumental female nude in Western art, and how the sight of her naked body won acquittal when she was prosecuted for impiety. But she left no writings in her own words and only a handful of fragments related to her have survived from her time. The primary evidence for her life comes down to us from texts composed hundreds of years after her death, all of them written by men, whose works reflect the changing tastes, experiences, and values of Greeks living under Roman rule. Through a close analysis of the evidence for Athenian sexual labor in classical Athens and drawing on parallels with other Greek courtesans, this book argues that key aspects of her biography, even those that have been dismissed as male fantasies, could have plausibly originated in historical events. The portrait that emerges is that of a powerful and socially consequential woman whose wealth and connections helped to shape the society in which she lived.
Phryne’s Receptions in Greek Art
Authors: McClure Laura 
Published: September 2024

Abstract
This chapter explores various links between Phryne and artworks and artists in antiquity, focusing on her portrait statues, the most famous of which was dedicated at Delphi, and her associations with Praxiteles and his Eros and Cnidian Aphrodite statues. It argues that the portraits were probably authentic and thus help to make the case that a fourth-century hetaera named Phryne from Thespiae plausibly existed. For this reason, the first part of the chapter considers the form and meaning of both private and public portrait dedications of women in Greek sanctuaries during the late classical period. It then turns to Praxiteles’ Thespian triad, which placed Phryne’s image between two deities, Eros and Aphrodite, followed by discussions of the two other portrait statues, the Happy Hetaera and the portrait statue at Delphi. In the second half, it briefly examines constructions of idealized, “respectable” female nudity in Greek art and literature as precedents for the historical emergence of the Cnidian Aphrodite, particularly the so-called kneeling bather scenes found on late fifth-century Attic red-figure vase painting and how Phryne came to be associated with this artistic milieu.
The Concept of Alignment
Authors: Stephanopoulos Nicholas O 
Published: September 2024

Abstract
This chapter lays the theoretical foundation for the rest of the book. Alignment—congruence between governmental outputs and popular preferences—can be analyzed along three dimensions. These are (1) the applicable political unit (a specific district or an entire jurisdiction); (2) the method by which popular preferences are summarized (majoritarian or collective); and (3) the type of governmental output (partisanship, representation, or policy). Under this framework, alignment should be analyzed in the aggregate, not issue by issue. Alignment should be conceived dynamically, not statically. And the relevant dêmos must be selected based on factors other than alignment. So understood, alignment is both supported by several models of democracy and normatively appealing in its own right. The public choice critique of alignment also fails because popular preferences are sufficiently meaningful to serve as the benchmark for representation and policy. Important as alignment is, though, it need not be sought single-mindedly since it hardly exhausts societies’ pragmatic and democratic objectives.
Political Parties
Authors: Stephanopoulos Nicholas O 
Published: September 2024

Abstract
This chapter applies the alignment framework to regulations of political parties. Parties are vitally important entities, the very building blocks of mass democracy. Nevertheless, alignment within parties has no democratic value. Parties are distinct from the polity itself, and intraparty congruence can undermine the polity-level alignment that really does matter, democratically speaking. Parties can be regulated in many ways, but only some of these rules have aligning implications. Rules about how parties choose their general election nominees generally don’t have such effects. Alignment therefore shouldn’t be a factor in the debate between more inclusive and more exclusive primaries. Ballot access restrictions can influence alignment both by changing the likelihood of minor party spoilers and by creating centrifugal or centripetal incentives for the major parties. But these impacts are relatively minor and hinge on the use of a plurality winner rule. Finally, plurality rule itself is quite misaligning compared to alternative electoral systems. Other single-winner systems mostly or fully prevent misalignment from minor party spoilers. More dramatically, the election of multiple winners per district using proportional representation leads to better partisan and representational—though maybe not policy—alignment.