bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the fault diagnosis method of AC power supply in substations based on a synchronous digital sampling technology
Authors: Fan Dehe , Li Xinhai , Wang Fan , Xiao Xing 
Published: December 2023

Abstract
In order to improve the accuracy and efficiency of AC power supply fault diagnosis in substations, a fault diagnosis method of AC power supply in substations based on synchronous digital sampling technology is proposed and designed in this study. Based on the IEC 61850-9-2 communication protocol, the same sampling of the status data of the substation AC power supply is realized first. Then, in order to improve the fault diagnosis effect, the data is pre-processed such as de-noising and de-redundancy. Finally, the substation AC power supply fault diagnosis is carried out based on Dempster/Shafer (D-S). The experimental results show that for different types of faults, the diagnosis accuracy of the proposed method is higher than 95.5%, and the diagnosis time is less than 1.31 ms.
A Distributed Dispatch Method for Power Distribution Networks Considering Large-scale Connected Electric Vehicles
Authors: Zheng Li , Tan Wenzhuo 
Published: December 2023

Abstract
The connection of large-scale electric vehicles (EVs) to power distribution networks leads to challenges such as increased peak loads and communication difficulty. To address this challenge, in this paper, a distributed dispatch method is suggested for power distribution networks that take the connection of large-scale EVs into account. First, a distributed dispatch framework is developed for the power distribution network. Subsequently, resources such as EVs, distributed photovoltaics (PVs), and micro gas turbines (MGTs) are considered to construct an optimal dispatch model, and the alternating direction multipliers method (ADMM) is applied to achieve a distributed solution. Finally, the performance of the suggested approach is tested on a modified IEEE 33-bus model.
Optimal Scheduling of New Energy and Thermal Power Combined Operation System
Authors: Zhao Duoxian , Ma Ming , Yuan Chen , Zhu Hongyi 
Published: December 2023

Abstract
Nowadays, the power grid with a high proportion of renewable energy is increasingly popular. Taking a new energy power system including wind power (WP), photovoltaic power (PP), and pumped storage power (PSP) as an example, in order to solve the problem of resource waste such as massive WP-PP abandonment and power losses caused by the randomness and volatility of new energy, this paper establishes a combined power generation model of WP-PP-PSP-thermal power (TP). It achieves the goal of minimum network loss and minimum WP-PP abandonment in the combined power generation system according to the characteristics of PSP and considering various constraints and distribution network reconfiguration. Then, the second-order cone relaxation (SOCR) technology is used to transform the model into a mixed second-order cone programming model. Finally, the design scheme is tested by the improved IEEE 33-bus system, and the effectiveness of the algorithm is analyzed. The results show that peak cutting and valley filling can be realized when PSP energy is added to the WP-PP grid connection system.
An acceleration and optimization method of edge computing using filter level pruning
Authors: Liao Gaofeng , He Yong , Lu Lin , Ye Guangxian , Yuan Hanjie , Jiang Tianhang , Chen Liang , Tan Haiao , Luo Jianbin , Zhang Jiawei 
Published: December 2023

Abstract
In order to reduce the complexity of the network and the amount of floating-point computation, this paper proposes an efficient target detection algorithm. Firstly, we use the feature of deep separable convolution to reduce the amount of calculation and design a target detection network structure. Based on the new network structure, the filter is pruned by using the size of the L1 norm value as the threshold to further compress the network model. Then it is deployed on the embedded GPU platform of the edge device for verification, and excellent algorithm performance is achieved. The combination of deep separable convolution and filter-level pruning greatly improves the computational performance of the target detection algorithm on the edge device.
Enhancement of nerve regeneration through schwann cell-mediated healing in a 3D printed polyacrylonitrile conduit incorporating hydrogel and graphene quantum dots: a study on rat sciatic nerve injury model
Authors: Hoveizi Elham 
Published: December 2023

Abstract
Despite recent technological advancements, effective healing from sciatic nerve damage remains inadequate. Cell-based therapies offer a promising alternative to autograft restoration for peripheral nerve injuries, and 3D printing techniques can be used to manufacture conduits with controlled diameter and size. In this study, we investigated the potential of Wharton’s jelly-derived mesenchymal stem cells (WJMSCs) differentiated into schwann cells, using a polyacrylonitrile (PAN) conduit filled with fibrin hydrogel and graphene quantum dots (GQDs) to promote nerve regeneration in a rat sciatic nerve injury model. We investigated the potential of WJMSCs, extracted from the umbilical cord, to differentiate into schwann cells and promote nerve regeneration in a rat sciatic nerve injury model. WJMSCs were 3D cultured and differentiated into schwann cells within fibrin gel for two weeks. A 3 mm defect was created in the sciatic nerve of the rat model, which was then regenerated using a conduit/fibrin, conduit covered with schwann cells in fibrin/GQDs, GQDs in fibrin, and a control group without any treatment (n = 6/group). At 10 weeks after transplantation, motor and sensory functions and histological improvement were assessed. The WJMSCs were extracted, identified, and differentiated. The differentiated cells expressed typical schwann cell markers, S100 and P75. In vivo investigations established the durability and efficacy of the conduit to resist the pressures over two months of implantation. Histological measurements showed conduit efficiency, schwann cell infiltration, and association within the fibrin gel and lumen. Rats treated with the composite hydrogel-filled PAN conduit with GQDs showed significantly higher sensorial recovery than the other groups. Histological results showed that this group had significantly more axon numbers and remyelination than others. Our findings suggest that the conduit/schwann approach has the potential to improve nerve regeneration in peripheral nerve injuries, with future therapeutic implications.
Extreme cold events in Europe under a reduced AMOC
Authors: Meccia Virna L , Simolo Claudia , Bellomo Katinka , Corti Susanna 
Published: December 2023

Abstract
There is a consensus that a weakened Atlantic Meridional Overturning Circulation (AMOC) decreases mean surface temperature in the Northern Hemisphere, both over the ocean and the continents. However, the impacts of a reduced AMOC on cold extreme events have not yet been examined. We analyse the impacts of a reduced AMOC strength on extreme cold events over Europe using targeted sensitivity experiments with the EC-Earth3 climate model. Starting from a fully coupled ocean-atmosphere simulation in which the AMOC was artificially reduced, a set of atmosphere-only integrations with prescribed sea surface temperature and sea-ice cover was conducted to evaluate the effects of weakly and strongly reduced AMOC strength. Despite overall cooling, reduced AMOC leads to fewer winter cold spells in Europe. We find that the weakened AMOC intensifies near-surface meridional gradient temperature in the North Atlantic and Europe, thus providing the energy to boost the jet stream. A stronger jet stream leads to less atmospheric blocking, reducing the frequency of cold spells over Europe. Although limited to the output of one model, our results indicate that a reduced AMOC strength may play a role in shaping future climate change cold spells by modulating the strength of the jet stream and the frequency of atmospheric blocking.
The discreet charm of the discrete series in dS2
Authors: Anninos Dionysios , Anous Tarek , Pethybridge Ben , Şengör Gizem 
Published: December 2023

AbstractWe study quantum field theories placed on a two-dimensional de Sitter spacetime (dS2) with an eye on the group-theoretic organization of single and multi-particle states. We explore the distinguished role of the discrete series unitary irreducible representation (UIR) in the Hilbert space. By employing previous attempts to realize these states in free tachyonic scalar field theories, we propose how the discrete series may contribute to the Källén–Lehmann decomposition of an interacting scalar two-point function. We also study BF gauge theories withSL(N,R)gauge group in dS2and establish a relation between the discrete series UIRs and the operator content of these theories. Although present at the level of the operators, states carrying discrete series quantum numbers are projected out of the gauge-invariant Hilbert space. This projection is reminiscent of what happens for quantum field theories coupled to semiclassical de Sitter gravity, where we must project onto the subspace of de Sitter invariant states. We discuss how to impose the diffeomorphism constraints on local field-theory operators coupled to two-dimensional gravity in de Sitter, with particular emphasis on the role of contact terms. Finally, we discuss an SYK-type model with a random two-body interaction that encodes an infinite tower of discrete series operators. We speculate on its potential microscopic connection to theSL(N,R)BF theory in the large-Nlimit.
Spider cone: a novel behavior of cobweb-like excretions of Conus geographus
Authors: De Guzman S H , Bacho H A , Cawaling L R , Taylor D , Saguil N A 
Published: December 2023

Abstract

Conus geographus is a specialized nocturnal cone snail that has evolved to engulf several target fish at once. A newly discovered behavior was observed wherein it releases cobweb-like excretions. This study focuses on characterizing this behavior from visual media as well as identifying the factors triggering the releases of cobweb-like excretions. Data from observations were then analyzed together with previously published C. geographus data and data from arachnids to determine similarities and their relationship between adaptation and evolution. Comparisons revealed that the first factor for releasing the cobweb-like excretions would be mobilization, which is the descending ability of C. geographus using the projections that may be similar to the abseiling spiders of Theridiidae and Araneidae. Next factor is the defense mechanism wherein the cone snail’s siphon was compared to spiders with trichobothria, which are used for mechanoreception. The last considered factor is an additional feeding strategy. In the observed visual media, the C. geographus wrapped an aerator with its excretions similar to the entangling mechanism for feeding specific species of spiders. Gathered information revealed that the cobweb-like excretions were used for mobility, defense mechanism, and feeding strategy, as C. geographus is highly susceptible to adaptation due to its neurological abilities. The compared data showed similarities between geography cone snails and spiders, suggesting a strong linkage between the two phyla that shows a convergent evolutionary relationship.
Digital and circular technologies for climate-smart and sustainable agriculture: the case of Vietnamese coffee
Authors: Nguyen Van Duy , Pham Tri Cong , Pham Thu Thuy , Phan Anh N. 
Published: December 2023

Abstract
This comprehensive article addresses the pressing challenges confronting the global agriculture, primarily driven by climate change and resource constraints. With a focus on promoting climate-smart and sustainable agricultural practices, the study explores the transformative potential of emerging technologies, e.g., the innovative use of digital technologies like Internet of Things, Artificial Intelligence, and Blockchain, showcasing real-world examples of their benefits, and circular technologies, e.g., waste-to-value practices. The challenges of population growth, climate change, environmental impact, and the plight of smallholder farmers are elucidated. Climate-Smart Agriculture initiatives supported by the World Bank Group demonstrate practical efforts in addressing these challenges, aligning with sustainable development goals. Here, we introduce an innovative and smart agriculture (INNSA) platform for the creation and operation of sustainable coffee value chain in Vietnam as a case of study. Thought-provoking questions for future research conclude the review, encouraging interdisciplinary collaboration. In summary, this article provides a compelling case for adopting sustainable agricultural practices through digital and circular technologies, offering a roadmap for global agriculture’s transformation and resilience in the face of climate change.
Artificial intelligence-based solutions for coffee leaf disease classification
Authors: Pham Tri Cong , Nguyen Van Duy , Le Chi Hieu , Packianather Michael , Hoang Van-Dung 
Published: December 2023

Abstract
Coffee is one of the most widely consumed beverages and the quantity and quality of coffee beans depend significantly on the health and condition of coffee plants, particularly their leaves. The automation of coffee leaf disease classification using AI is an essential need, providing not only economic benefits but also contributing to environmental conservation and creating better conditions for sustainable coffee cultivation. Through the application of AI, early disease detection is facilitated, thereby reducing pest and disease control costs, minimizing crop losses, increasing coffee productivity and product quality, and promoting environmental preservation. Many studies have proposed AI algorithms for coffee disease classification. However, numerous algorithms employ classical algorithms, while some utilize deep learning, the current state-of-the-art in computer vision. The challenge lies in the fact that when using deep learning, a substantial amount of data is required for training. The design of deep learning architectures to enhance model accuracy while still working with a small training dataset remains an area of ongoing research. In this study, we propose deep learning-based method for coffee leaf disease classification. We propose the combination of different deep convolutional neural networks to further improve overall classification performance. Early and late fusion have been conducted to evaluate the effectiveness of the pre-trained model. Our experimental results demonstrate that the ensemble method outperforms single-model approaches, achieving high accuracy and precision in BRACOL coffee disease leaf.
Applying 10 MeV e-Beam Irradiation to Improve the Microbiological Quality of Dried Anchovy Products
Authors: Thanh Thao Pham Thi , Minh Tuan Hoang Sy 
Published: December 2023

Abstract
This study evaluates the efficacy of e-beam irradiation in anchovy drying from an initial moisture content of 78 ± 1% wb to 20 ± 1% wb. The anchovy was irradiated with a 10 MeV energy level and doses ranging from 3 to 7 kGy, with air temperatures of around 30°C. Microbial quality was assessed at the Intertek laboratory before and after irradiation. Results showed that parameters such as Clostridium perfringens, Coliforms, E. coli, Salmonella spp., Staphylococcus aureus, Vibrio parahaemolyticus Bacteria, Yeasts and Moulds, and TPC (30°C) met the expected results at a dose of 7 kGy, demonstrating the quality of anchovy products for export. This study highlights the potential of e-beam irradiation in the inactivation of pathogenic microorganisms without compromising food quality in anchovy products.
Species composition of macromolluscs in Barangay Talao-talao, Lucena, Quezon province, Philippines
Authors: Bernabe J R , Acebron K J B , Tejamo C V , Aggabao M J D , Bantigue P C , Guinto A , Caril A , Saguil N A 
Published: December 2023

Abstract
Degradation of upland vegetation and the continuous environmental insults on coastal ecosystems negatively impact the inhabiting molluscs. In particular, macromolluscs present in the intertidal zones of coastal communities in the Philippines are directly affected by human activities and the fast-changing climate. However, a limited number of studies have investigated the effects of habitat alteration and degradation on the composition and diversity of the Philippines’ intertidal molluscs. Thus, this study assessed the species composition of macromolluscs in Lucena, Quezon, and the underlying environmental and habitat factors that may dictate the presence and abundance of these marine animals. To address these concerns, handpicking and purposive sampling of marine molluscs were conducted in the entire intertidal region of the sampling site. This study reported 62 different species at the intertidal zones of Lucena, Quezon, with species originating from the family Olividae being the most abundant organism among the sampled gastropod and bivalve species in the area. Analysis of the observational differences in molluscan habitat may highlight ecological factors affecting the diversity and abundance of the intertidal fauna. Continuous use of the shoreline for traditional fishing and the close proximity of the port of Lucena and human habitation to the coastal zone may also serve as underlying factors to the lack of live mollusc samples in the intertidal region nearest to the port. Together, these findings suggest a high species composition and abundance of macromolluscs inhabiting the intertidal zone of Lucena, Quezon, highlighting the drastic effects of changing marine ecosystems on the ability of various species to occupy a specific area in the marine environment.
Optimization of microwave-assisted heat pump drying parameters of Vietnamese black tiger shrimp using the response surface methodology
Authors: Le Nhu-Chinh , Tran Thi-Bao-Tien 
Published: December 2023

Abstract
This article uses response surface methodology (RSM) to optimize the microwave drying process of black tiger shrimp to ensure drying time is shortened, energy consumption is reduced, and product quality is better. Therefore, the study’s primary objectives were defined as drying time, rehydration rate, and energy consumption. The main optimal parameters affecting the above goals were air temperature (20 ÷ 40) °C, air velocity (1÷2) m/s, and microwave power (100 ÷ 500) W. The research results show that the optimal drying conditions for the best quality of dried black tiger shrimp and the highest drying productivity are a drying temperature t of 34.74 °C, a drying airspeed V of 1.87 m/s, a microwave power MW of 135.78 W and a humidity relative humidity of (15 ÷ 17)% with characterized by maximum desirability function (0.993). Furthermore, the experimental results demonstrate the completed product values with a drying time of 13.7 minutes, a rehydration ratio 2.33, and a specific energy consumption of 3.23 kWh/kgH2O. This study would contribute to developing technical capabilities for designing microwave-assisted heat pump dryers applicable to such high-valued foodstuffs.
Assessment of dissimilar friction stir welded AA6061/SS316 for sustainable industry
Authors: Ho Huy Huu , Nguyen Quan Minh , Duong Hao Dinh , Tran Tra Hung 
Published: December 2023

Abstract
Energy and environmental issues have played an important role in developing sustainable industries. The incorporation of lightweight materials into various structures enables a reduction in both weight and fuel consumption, resulting in saving energy. So, the selection of material and joining techniques have contributed significantly in these problems. This paper focused on the assessment of dissimilar lap-joint between AA6061 to SS316 using green technology as friction stir welding. The effect of welding parameters on the properties of joints was assessed. The test results showed that the welding interface is sensitive to rotational speed. The joint with the highest strength is approximately 6200 N at 700 rpm. In this case, the joint was fractured in heat effected zone on the aluminum side. The welding interface was revealed by using scanning electron microscope and energy-dispersive X-ray spectroscopy images to analyze the joint quality.
Estimation of the required power of bow thruster based on numerical simulation
Authors: Danh Bui Thanh , Mai Linh Hoang Thi , Hai Ha Nguyen Thi 
Published: December 2023

Abstract
The paper presents the results of hydrodynamic characteristics of bow thruster (thrust coefficient K

T
, torque coefficient K

Q
) in various pitch angles using RANSE method and compared to the experiment data provided by Maritime Advanced Research Centre (CTO S.A.), Gdansk, Poland. The required power of the bow thruster is estimated based on those numerical simulations. To get a better energy efficiency, the thrust-to-power ratio with pitch angle can be compared. The simulation of a rotating propeller is done using the sliding mesh approach. The k-epsilon turbulence model is utilized with commercial code ANSYS CFX when analyzing bow thruster performance. The results show that the difference between numerical and experiment results is quite high. Moreover, the power and the thrust-to-power ratio increase with the pitch angles and the bow thruster performs the best efficiency at the pitch angle of around 19°.
Effects of material strain rate, impulse profile on damage evolution of steel plates subjected to repeated pressures
Authors: Huynh V-V , Dang X-P , Quach H N , Le N A V , Le C L , Truong D D 
Published: December 2023

Abstract
This study deals with a numerical estimation of the damage evolution of steel plates used in ships and offshore structures due to repeated slamming-induced pressures. The numerical analysis model was developed using finite element ABAQUS software. Subsequently, the validated model was extended to investigate the effects of material strain rate and impulse profile on the damage evolution of plates having actual scantlings. Different strain rate models were used, and several types of impulse profiles that can be used to simplify the actual slamming pressure were adopted. In the simulation, the material strain hardening was defined for the plate model, and the impulsive pressures were applied uniformly over the plate while it was fully clamped at four edges. The results showed that a large effect of the material strain rate on the damage evolution of the plate was noticed for only several first impacts, while the effect of the impulse profile is remarkable for whole impact events. The occurrence of the pseudo-shakedown phenomenon of steel plates was examined accordingly. The results can be useful for the design of ships and offshore structures against slamming.
Thermophysical properties of Cordyceps militaris change during the freezing process
Authors: Nguyen Van – Phuc , Nguyen Nguyen-An , Luong Duc – Vu 
Published: December 2023

Abstract
This study focuses on determining the thermophysical parameters of Cordyceps militaris in the freezing stage of the freeze-drying process. When the temperature of Cordyceps militaris changed from an ambient temperature of 25°C to a freezing temperature of -45°C, the thermophysical parameters of Cordyceps militaris changed much. The study determined the initial freezing point temperature of Cordyceps militaris to be -0.6°C. At temperatures above the initial freezing point, the density (ρ) and specific heat (c) increase slightly as the temperature decreases. In contrast, thermal conductivity (k), thermal diffusivity (a), and enthalpy (h) decrease. However, at temperatures below the initial freezing point, when the temperature decreases, the density, specific heat, and enthalpy decrease while the coefficient of thermal conductivity and thermal diffusion increase. The results obtained from this study can be applied in calculating the heat and mass transfer during the freezing phase in the freeze-drying process of Cordyceps militaris.