bluuebunny/crossref_metadata_2025_split huggingface dataset:
Critically analysis for fuel oil storage facilities using FMECA method
Authors: Wijanarto B , Zaman M B , Cahyono B 
Published: December 2024

Abstract
Fuel oil storage facilities, such as the PT.X Fuel Terminal, have an important role in maintaining a stable and safe energy supply for the community. Smooth operations and reliability of equipment in the storage facility are crucial factors in ensuring an adequate and safe fuel supply. In carrying out its operations, the landfill facility is faced with various challenges. One of the main challenges is maintaining complex and diverse equipment. Equipment such as storage tanks, connecting pipes, pumps and other equipment must be maintained regularly to prevent failures that could cause operational disruptions and potential safety risks. However, traditional maintenance approaches based on routine schedules are often inefficient and less responsive to the actual condition of the equipment. In this research, criticality analysis at the fuel oil terminal was carried out. This aims to carry out condition monitoring. By analyzing criticality, it will be easier to make decisions on the next steps. In this research, the FMECA method was used. This method is very good for finding criticality values in the system.
Repowering MP Bandar Madani: “Transforming into a Fully Electric Pilot Boat to Support Pare-Pare Green Port”
Authors: Shaleh Ibrahim , Koenhardono E S , Sarwito S 
Published: December 2024

Abstract
Parepare Port is within the working area of PT Pelabuhan Indonesia (Persero) which serves the export and import cargo. In 2021, 99% of visiting ships entering Parepare port will be more than 500 GT, so it is mandatory to use pilot services to enter the port. Currently ship guiding services are provided by MP. Masela and MP. Bandar Madani. However, M.P. Bandar Madani experienced a drowning incident in September 2021. Even though the engine had been repaired, the condition was not as before. PT Pelindo Marine Service as the pilot boat operator will repower the MP Bandar Madani into an electric pilot boat. This initiative aims to enhance pilotage services and contribute to the sustainability goals of Pare-pare Port, thereby transforming it into a Green Port. This paper discusses the technical analysis of repowering at MP Bandar Madani to improve pilot services and support the Pare-pare Port as a Green Port.
Heart sound recognition using hybrid joint transform correlator
Authors: Mohapatra Jyoti Bikash , Monikantan Jyothish , Kumar Yogesh , Nishchal Naveen K 
Published: December 2024

Abstract
This work introduces an innovative method for heart sound recognition using a hybrid joint transform correlator (JTC). Traditional techniques such as convolutional neural networks and machine learning models, although promising, often suffer from computational complexity and latency issues, resulting in slower processing speeds. In contrast, the proposed method overcomes these challenges by utilizing an optical correlator that operates at significantly accelerated speeds. The heart sound signals are initially converted into spectrograms, which are subsequently correlated using the hybrid JTC for recognition and decision-making. Moreover, to handle variability within heart sound classes and enhance recognition accuracy, a composite filter synthesized from multiple spectrograms is integrated with the JTC. As a result, the proposed approach not only enhances the speed of heart sound analysis but also maintains high precision and reliability. The effectiveness of the method has been confirmed through both simulation and experimental results.
On-chip high-dimensional entangled photon sources
Authors: Kaur Tavshabad , Peace Daniel , Romero Jacquiline 
Published: December 2024

Abstract
High-dimensional quantum entanglement is an important resource for emerging quantum technologies such as quantum communication and quantum computation. The scalability of metres-long experimental setups limits high-dimensional entanglement in bulk optics. Advancements in quantum technology hinge on reproducible, and reconfigurable quantum devices—including photon sources, which are challenging to achieve in a scalable manner using bulk optics. Advances in nanotechnology and CMOS-compatible integration techniques have enabled the generation of entangled photons on millimeter-scale chips, significantly enhancing scalability, stability, replicability, and miniaturization for real-world quantum applications. In recent years we have seen several chip-scale demonstrations with different discrete degrees of freedom including path, frequency-bin, time-bin, and transverse modes, on many material platforms. A complete quantum photonic integrated circuit requires the generation, manipulation, and detection of quantum states, involving various active and passive quantum photonic components which further increase the degree of complexity. Here, we focus on the high-dimensional versions of qubits—qudits—and review the nonlinear optical processes that facilitate on-chip high-dimensional entangled photon sources, and the currently used material platforms. We discuss a range of current implementations of on-chip high-dimensional entangled photon sources and demonstrated applications. We comment on the current challenges due to the limitations of individual material platforms and present future opportunities in hybrid and heterogeneous integration strategies for the next generation of integrated quantum photonic chips.
Van der Waals epitaxy and beyond for monolithic 3D integration
Authors: Kim Hyunjun , Bae Joonyup , Pearton Stephen J , Ren Fan , Kim Jihyun , Lee Gwan-Hyoung 
Published: December 2024

Abstract
As the limitations of silicon-based technologies approach their physical boundaries, monolithic three-dimensional integration (M3D) and two-dimensional (2D) materials, such as transition metal dichalcogenides (TMDs), have emerged as promising solutions for continuous scaling in semiconductor devices. This perspective explores the evolution of van der Waals (vdW) epitaxy and its potential to integrate TMDs into M3D structures. By circumventing lattice mismatch issues, vdW epitaxy allows the formation of high-quality single-crystal heterostructures across diverse material systems. However, the challenge of achieving films with uniform thickness control remains unresolved. Herein, advanced epitaxial growth techniques for TMDs are reviewed, including quasi-vdW epitaxy, vdW recrystallization, and remote epitaxy, whilst also introducing emerging approaches, such as hypotaxy and interfacial epitaxy. These emerging techniques have the potential to produce large-area defect-free films with controllable thicknesses. Ultimately, the development of new epitaxial methods specifically designed for TMDs is essential for the future integration of 2D materials into industrial applications.
Assessment of fiber loading effects on mechanical properties and prediction of mechanical properties via artificial neural networks of hybrid jute /sheep wool epoxy composites
Authors: B H Shivayogi , T S Manjunatha , B H Maruthi Prashanth , Gowda Sandeepkumar , Iqbal Mulla Asif , Puninchathaya P Divijesh 
Published: December 2024

Abstract
The primary purpose of this study is to realize the effect of fibre loading on mechanical properties like tensile, bending, impact, interlaminar shear strength and fracture toughness of hybrid composites made of alkaline treated jute and sheep wool hybrid fibres and epoxy. A series of composite laminates were prepared with varying fibre (30%, 40%, 50% and 60%) loadings using hand layup technique. The findings indicated that hybrid composite with equal amount of fiber and resin (JW50) showed a higher strength of 40 MPa against tensile load, maximum strength of 99 MPa against bending load, superior interlaminar shear strength (ILSS) of 3.09 MPa, and a maximum fracture toughness of 72 MPa.m1/2 compared to other fibre loadings. In terms of impact test, JW50 displayed the highest impact strength of 85.98 J/m, underscoring its exceptional capacity to absorb energy compared to other composites. The mechanical strengths of these composites were also predicted using an Artificial Neural Network (ANN) model, which generated accuracy of 87.46% for tensile strength, 86.31% for flexural strength, and 83.52% for impact strength. The absolute percentage errors were found to be 12.53%, 13.68%, and 16.47%, respectively, demonstrating the model’s reliability in estimating composite properties based on fibre content and composition. SEM images of fractured samples under tensile load reveal that higher resin content reduces fibre-matrix bonding, while a balanced fibre-to-resin ratio improves load transfer, but too much fibre leads to debonding due to inadequate resin justifying the experimental results.
Electrochemically stable and ultrathin polymer-based solid electrolytes for dendrite-free all-solid-state lithium-metal batteries
Authors: Yu Fenghua , Mu Yongbiao , Han Meisheng , Liu Jie , Zheng Kunxiong , Zou Zhiyu , Hu Hengyuan , Man Quanyan , Li Wenjia , Wei Lei , Zeng Lin , Zhao Tianshou 
Published: December 2024

Abstract
Polymer-based composite solid electrolytes (PCSEs) are increasingly studied in all-solid-state lithium-metal batteries (ASSLMBs) due to the combined advantages of better flexibility of polymer and higher ion conductivity of ceramic electrolytes. However, most reported PCSEs are overly thick, increasing internal resistances. Besides, the poor stability at the Li metal–electrolyte interfaces often leads to severe lithium dendrite formation and reduced cycling stability. Here, we fabricate an ultrathin PCSE with a thickness of 12.4 μm, incorporating polyacrylonitrile (PAN) nanofibers as the structural matrix, and a filler with polyethylene oxide and Li6.5La3Zr1.5Ta0.5O12 (LLZTO). Due to the formation of the LiCN layer on the surface of the lithium metal and the Li-ion transport pathways induced by the dehydrocyanation reaction at the LLZTO/PAN interfaces, the PCSE exhibits a high critical current density of 1.8 mA cm−2 and a low energy barrier of 0.278 eV for Li-ion transfer, accommodating the fast Li-ion migration to avoid Li-dendrite growth. In addition, the stable nitrile groups and the dehydrocyanation reaction ensure the electrochemical stability of the PCSE with a high oxidation voltage of 5.5 V and an exceptional cycling stability (2100 h) in Li||PCSE||Li symmetric cells. Additionally, the Li||PCSE||LiFePO4 full cells demonstrate a high volumetric energy density of 338.3 Wh L−1 at 0.1 C and a robust stability over 100 cycles at 0.5 C. The study offers a new approach for fabricating ultrathin PCSEs and provides insights into the mechanisms of dendrite-free formation, guiding the development of high-performance PCSEs for ASSLMBs.
Elucidation of physiological functions of sphingolipid-related molecules by chemical approaches
Authors: Murai Yuta 
Published: December 2024

Abstract
Sphingolipids (SLs), found in all animals, plants, and fungi and in certain prokaryotic organisms, exhibit essential physiological functions that cannot be replicated by other lipids. Although SLs and their related biomolecules behave as lipid mediators, skin barrier systems, and epitopes, their detailed biological functions have not yet been revealed, unlike those of proteins and nucleic acids, because the biosynthesis of SLs is not governed by the central dogma. Recently, SLs have been widely studied in relation to diseases such as obesity, dementia, and neuron agenesis and have attracted attention as molecules related to unmet medical needs. This review presents the recent applications of the SL chemical biology in unmet medical needs.
scDCA: deciphering the dominant cell communication assembly of downstream functional events from single-cell RNA-seq data
Authors: Ji Boya , Wang Xiaoqi , Wang Xiang , Xu Liwen , Peng Shaoliang 
Published: December 2024

Abstract
Cell–cell communications (CCCs) involve signaling from multiple sender cells that collectively impact downstream functional processes in receiver cells. Currently, computational methods are lacking for quantifying the contribution of pairwise combinations of cell types to specific functional processes in receiver cells (e.g. target gene expression or cell states). This limitation has impeded understanding the underlying mechanisms of cancer progression and identifying potential therapeutic targets. Here, we proposed a deep learning-based method, scDCA, to decipher the dominant cell communication assembly (DCA) that have a higher impact on a particular functional event in receiver cells from single-cell RNA-seq data. Specifically, scDCA employed a multi-view graph convolution network to reconstruct the CCCs landscape at single-cell resolution, and then identified DCA by interpreting the model with the attention mechanism. Taking the samples from advanced renal cell carcinoma as a case study, the scDCA was successfully applied and validated in revealing the DCA affecting the crucial gene expression in immune cells. The scDCA was also applied and validated in revealing the DCA responsible for the variation of 14 typical functional states of malignant cells. Furthermore, the scDCA was applied and validated to explore the alteration of CCCs under clinical intervention by comparing the DCA for certain cytotoxic factors between patients with and without immunotherapy. In summary, scDCA provides a valuable and practical tool for deciphering the cell type combinations with the most dominant impact on a specific functional process of receiver cells, which is of great significance for precise cancer treatment. Our data and code are free available at a public GitHub repository: https://github.com/pengsl-lab/scDCA.git.
Interspecific variation in defensive flower closure of Drosera (Droseraceae) is related to the herbivory pressure
Authors: Tagawa Kazuki , Osaki Haruka , Watanabe Mikio 
Published: December 2024

Abstract
Rapid plant movements in response to mechanical stimulation have long captivated mainstream interest. The flowers of Drosera species, notably studied for their defensive closure upon touch, protect their ovules from the specialist herbivore caterpillar Buckleria paludum. Although several species within Drosera exhibit variation in the speed of flower closure, the evolutionary and ecological contexts of these differences remain unclear. We hypothesize that the interspecific variation in flower closure speed has evolved in response to differing levels of herbivory pressure. Using Drosera rotundifolia and Drosera tokaiensis, we investigated the relationships between flower closure speed, effectiveness in ovule defence, herbivory pressure in nature, and the potential cost of flower closure. Our results indicate that D. tokaiensis, which exhibits faster flower closure than D. rotundifolia, more effectively reduces ovule damage due to B. paludum feeding attempts. Field surveys revealed that D. tokaiensis experiences higher herbivory pressure, likely due to its preference for drier microhabitats, which may influence the evolution of its rapid closure response. These findings enhance our understanding of the ecological and evolutionary factors driving the diversification of rapid plant movements and contribute to the emerging field of plant behavioural ecology.
The use of ChatGPT in the dermatological field: a narrative review
Authors: Potestio Luca , Feo Federica , Martora Fabrizio , Megna Matteo , Napolitano Maddalena , D’Agostino Michela 
Published: December 2024

Abstract
Artificial intelligence (AI) encompasses the development of computer systems capable of tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making and language translation. Over time, numerous applications have emerged, with the integration of AI into medicine marking a significant leap forward in healthcare delivery, diagnosis and treatment. Among medical specialties, dermatology stands at the forefront of AI advancements, leveraging machine learning and deep learning to enhance dermatologists’ abilities and improve patient care. ChatGPT is an advanced language model by OpenAI, originally designed for conversations, which has expanded its utility into diverse fields, including healthcare and dermatology. In this context, the aim of this review article was to explore the synergistic relationship between ChatGPT and dermatology, examining how this innovative AI model is reshaping skin health management, its potential applications, preliminary data on its efficiency and accuracy, as well as ethical and legal concerns related to the use of its tool.
Silyl ether-modified polyalkylene glycols with high viscosity index
Authors: Aida Fuyuki , Tagawa Kazuo 
Published: December 2024

Abstract
To improve the viscosity index (VI) of polyalkylene glycol (PAG), the hydroxyl group was modified into a silyl ether. The hydrogen bond of the unmodified PAG was broken and its kinematic viscosity at 40 oC (KV40) was substantially reduced. The kinematic viscosity of the modified PAG at 100 oC (KV100) showed a slight reduction, compared with the unmodified one, demonstrating that the VI could be greatly improved. The VIs of polypropylene glycol (PPG), which contains two hydroxy groups, (Mn = 1,120) and its trimethylsilyl ether (PPG-TMS), were 146 and 299, respectively. A similar improvement in VI was observed in PAG with different molecular weights and with different types of silyl ethers.
Glucocorticoid Dosing and Implications for Vaccination: Evolution of Global Definitions
Authors: Wang Xia , Patel Cyra , Giles Michelle L , Burns Penelope , Macartney Kristine , Teh Benjamin , Williams Phoebe C 
Published: December 2024

Abstract
Despite widespread adoption of “high-dose” glucocorticoid definitions across international immunisation guidelines (ie, prednisone-equivalent dosing &gt;20 mg/day, or &gt;2 mg/kg/day in children), the rationale remains unclear. Literature searches were performed through academic databases for this narrative review to identify relevant evidence regarding glucocorticoid dosing on vaccine responses and safety. In people receiving prednisone &lt;7 mg/day, vaccine responses are maintained. In people on “high-dose” glucocorticoids (&gt;20 mg/day), antibody titres and seropositivity are reduced, whereas the impact of low- to medium-dose glucocorticoids (7 to 20 mg/day) on vaccine efficacy remains inconclusive. Due to inconsistent paediatric dosing regimens, data is insufficient to support a unified “high-dose” glucocorticoid threshold. Non-live vaccines are well tolerated in patients receiving glucocorticoids with rheumatic/inflammatory disorders, but enhanced reactogenicity after live vaccination may occur in those with severe immunodeficiencies. Clinicians should consider individual risk-benefit profiles, rather than following strict dosing thresholds, when curating immunisation programs for patients prescribed glucocorticoids.
Interference of titanium and zirconia implants on dental-dedicated MR image quality: ex vivo and in vivo assessment
Authors: Johannsen Katrine M , Christensen Jennifer , Matzen Louise Hauge , Hansen Brian , Spin-Neto Rubens 
Published: December 2024

Abstract

Objectives
To assess the impact of titanium and zirconia implants on dental-dedicated MR image (ddMRI) quality ex vivo (magnetic field distortion [MFD]) and in vivo (artefacts).

Methods
ddMR images were acquired (MAGNETOM Free.Max, 0.55 T, Siemens Healthineers AG, Forchheim, Germany) using a dental-dedicated coil (Rapid Biomedical, Rimpar, Germany). Ex vivo: three phantoms were manufactured: one agar-embedded titanium implant, one agar-embedded zirconia implant, and one control phantom (agar 1.5%). Field map analysis of images acquired at 0.55 T, 1.5 T, and 3.0 T (MAGNETOM Sola and MAGNETOM Lumina, respectively, Siemens Healthineers AG, Forchheim, Germany) was done to illustrate the extent and severity of MFD caused by the implants. In vivo (0.55 T only): a splint was designed to serve as an implant carrier, allowing diverse implant positions (0, 1, 2, or 5 implants). A volunteer was imaged using multiple pulse sequences. Three blinded observers scored the images twice for the presence, severity, and type of artefacts, illustrated by descriptive statistics and inter- and intra-observer reproducibility (kappa statistics).

Results
Ex vivo: titanium produced more severe MFD than zirconia. MFD extent and amplitude increased with field strength (0.55 T &lt; 1.5 T &lt; 3.0 T). In vivo: titanium produced more artefacts than zirconia, generally as signal voids in tooth crowns close to implants. Inter- and intra-observer reproducibility ranged from 0.28 to 0.64 and 0.32 to 0.57, respectively.

Conclusions
The prevalence of artefacts increased with magnetic field strength. Titanium generated larger MFD than zirconia. For both materials, artefacts were visible mainly in the crown area. Observer reproducibility needs improvement by dedicated ddMRI training.
Quantification of valvular regurgitation by transthoracic 3D high pulse repetition frequency Doppler echocardiography
Authors: Berg Erik Andreas Rye , Fiorentini Stefano , Avdal Jørgen , Grenne Bjørnar , Stensæth Knut Haakon , While Peter Thomas , Espeland Torvald , Wiseth Rune , Torp Hans , Aakhus Svend 
Published: December 2024

Abstract

Aims
To improve quantification of valvular regurgitation, a 3D high-pulse repetition frequency Doppler (3D HPRFD) method was developed for regurgitant volume (RVol) estimation from transthoracic echocardiography (TTE). Although successfully applied in vitro and in selected clinical cases, a systematic clinical validation of 3D HPRFD has not been published. Hence, our aims were to investigate (i) feasibility of 3D HPRFD and (ii) correlation between 3D HPRFD and RVol estimates obtained by the 2D proximal isovelocity surface area (PISA) method and cardiac magnetic resonance (CMR) in patients with either aortic regurgitation (AR) or mitral regurgitation (MR).

Methods and results
We included 45 patients with AR (42% mild, 40% moderate, and 18% severe) and 45 with MR (67% mild, 24% moderate, and 9% severe). Median time between start of TTE and start of CMR was 1.5 h, minimizing changes in load. Overall feasibility of 3D HPRFD was 56% in AR and 44% in MR. Feasibility was only 25% in patients with severe regurgitation. In AR, estimated RVol from 3D HPRF did not correlate with estimated RVol from PISA or CMR [Spearman rho = 0.06 (P = 0.78) and 0.04 (P = 0.4), respectively]. In MR, RVol estimates from 3D HPRFD correlated with PISA (rho = 0.72, P &lt; 0.001) but not with CMR (rho = 0.31, P = 0.43).

Conclusion
Regurgitant volume estimation by 3D HPRFD had a low feasibility, especially in severe regurgitation, and in general correlated poorly with PISA and CMR estimates. In its current state, 3D HPRFD is not ready for clinical use.