bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on measurement technology of action characteristics of double-ended grounding switch based on flexible sensing
Authors: Xiao Yang , Huang Yuzhong , He Zhenxiang , Zhan Jinte 
Published: December 2022

Abstract
In order to solve the problems of high voltage switches’ operation characteristic tests, such as no double end grounding measurement, the inconvenient opening of grounding switch, easy injury, and equipment damage due to induced high voltage, a new measurement method is proposed in this paper, which adopts frequency conversion technology, time coding technology, and contactless flexible sensor technology, which can accurately measure the action characteristics of high voltage switch equipment under the condition of double terminal grounding. This method can effectively reduce the influence of field measurement factors and improve the accuracy, safety, and convenience of field measurement of high voltage switch action characteristics.
Theoretical Integrated Electric Quantity of Primary Frequency Control
Authors: Wang Chun 
Published: December 2022

Abstract
At present, the qualification rate of primary frequency control of hydropower units in the southwest power grid is low. The current grid has defects in the calculation method of the theoretical integral power of primary frequency control of hydropower units. The theoretical power of primary frequency control is proportional to the frequency difference. The adjustment rate is slow, and the deviation between the theoretical value and the actual value is large, which leads to a significant increase in the failure rate; by modeling the entire hydro-generator set adjustment system and performing the inverse Laplace transform of the simplified and reduced transfer function to obtain an exponential function, the theoretical integral power of Primary Frequency Control is calculated by this function, and the accuracy of the measured comparison is significantly higher, which is in line with the actual regulation law.
Analysis of energy storage operation on the power supply side under a high proportion of wind power access based on system dynamics
Authors: Huang Haoyang , Yang Ying , Yu Bangdong , Jiang Leilei , Liu Zhi , Song Dongming 
Published: December 2022

Abstract
With the rapid development of renewable energy sources such as wind energy and solar energy in China, structural problems such as wind and light abandonment, system operation imbalance, and insufficient energy supply have arisen in the process of accelerating the energy transformation process. Given the above problems, this paper uses the system dynamics method for modeling. First, the key variables are selected from the perspective of influencing the economic reliability of the power system. Second, the energy storage operation model of the power supply side under the high proportion of wind power access is established, and the impact of new energy access on the system balance and energy storage configuration is explored. Finally, the cost connection of each module body is used to optimize the allocation of energy storage resources, thereby improving the efficiency of the enterprise itself and providing a new idea for the power generation enterprise to participate in the operation and scheduling of the system.
Electric power dispatching of virtual power plant with electric vehicle
Authors: Sun Weibin , Liu Sanming , Dong Hao , Huang Qifan 
Published: December 2022

Abstract
Because electric vehicles have many advantages such as low carbon, environmental protection, and low cost compared with fuel vehicles, electric vehicles have developed rapidly in recent years, which will lead to large-scale impact load. In this paper, the electric vehicle is regarded as an energy storage device, a multi-energy VPP electric thermal scheduling model including electric vehicles is established, and a scheduling strategy for electric vehicles to participate in the power system scheduling is proposed. With the minimum cost of VPP and the minimum carbon dioxide emissions as the optimization objectives, the relevant objective functions are described, and equality constraints and inequality constraints are applied to them. Then, the improved algorithm is applied to solve the model. The results of the example analysis show that the virtual power plant system model with electric vehicles established in this paper can reduce the operating cost of the VPP system, reduce carbon emissions, and be conducive to the safe, low-carbon, and economic operation of the power system.
Study on Simulation Model of Power Electronic Transformer (PET)
Authors: Sun Jingbo 
Published: December 2022

Abstract
The thesis has completed the following research work: 1. After reviewing the development process, research background, and application field of PET, the advantages of PET are summarized, and then the research object of this paper is AC/DC/AC including DC port and the key technical problems that need to be solved. 2. This thesis has established the mathematical model of PET at all levels of AC/DC/AC type structure. The input stage is composed of a PWM rectifier circuit, and the circuit working principle, mathematical model, and control strategy are analyzed in detail. The isolation stage theoretically analyzes the working modes of the circuit topology in each time period. The output stage consists of a unipolar inverter circuit and an LC filter. 3. In the simulation environment of Matlab/Simulink, according to the design parameters, the simulation model of the main circuit of the PET rectifier stage, isolation stage, and inverter stage, as well as the simulation model of the whole machine system are built under the 1kv voltage level.
VSC-HVDC Fault Location Method Based on Effective Feature and Depth Belief Network
Authors: Zhai Shaolei , Cui Ye , Li Fangqing , Wang Ren , Su Wenjing , Tang Hansong 
Published: December 2022

Abstract
Aiming at the problems that most fault location methods are applied to the high voltage direct current (HVDC) transmission system, such as low location accuracy and vulnerability to noise, a voltage source converter (VSC)-HVDC fault location method based on effective feature and deep belief network is proposed. Firstly, the Karenbauer phase mode transform is used to decouple the original fault current data to eliminate the coupling effect between positive and negative lines. Then, Hilbert Huang (HH) transform is used to obtain six effective features of information from frequency domain and time domain analysis to fully characterize the system fault current signal. Finally, the extracted effective features are input into the depth belief network for learning, so as to estimate the fault location in the transmission line. VSC-HVDC system is built based on the MATLAB platform for experimental analysis. The results show that the fault location obtained by the proposed method has the smallest overall fault location error, and the maximum and minimum errors are divided into about 0.52 km and -0.95 km. Compared with other methods, it has certain advantages in fault location.
Research on configuration optimization of distributed energy storage system based on multi-objective genetic algorithm
Authors: Yin Shuo , Chai Zhe , Yang Meng , Chen Xing , Jin Man , Liu Junhui 
Published: December 2022

Abstract
In view of some problems existing in China’s power market, this paper uses the multi-objective genetic algorithm to analyze the problems in the power market. The equivalent mathematical model of energy distribution is established and optimized, and its performance is optimized. The results indicates that the scheme can significantly improve the new energy consumption rate of the distribution network and the security of the distribution network and achieve the design purpose.
Study of peat-mangrove ecosystem in East Kalimantan Province
Authors: Surahman S , Ahmad A , Butarbutar T , Palgunadi M A 
Published: December 2022

Abstract
Indonesia's peatland cover is about 11 million ha of land in tidal swamp areas and 3.9 million hectares in swamp and coastal areas. Based on these data, there are possibility interconnection between peat and mangrove ecosystems in the one landscape. Therefore, the purpose of this study is to analyze the characteristics of interconnection between the peat and mangrove ecosystems in Indonesia, specifically in East Kalimantan. Vegetation characteristics such as structure and species composition will be measured, as well as soil physical characteristics including analysis of water content, bulk density, particle density and porosity. characteristics of soil chemical properties include analysis of pH, EC, ash content, bases (K, Na, Ca, Mg), micro elements (Fe, Mn, Cu, Zn), C-total, N-total and S-total. The results obtained are East Kalimantan is located in the coastline area which is still influenced by high salinity tides. The level of species diversity and community stability in the transition area is in the low to moderate limit with a Shannon index value of 2.24. Species with high salinity tolerance dominate the transition area (true mangrove vegetation species).
Comparison of microwave assisted extraction and ultrasound assisted extraction on recovery of residual palm oil from spent bleaching earth
Authors: Taslim  , Manurung R , Iriany  , Bani O , Pranata A , Nugraha A 
Published: December 2022

Abstract
Recovery of oil contained in spent bleaching earth (SBE) will have a good impact on the environment and economy. The process can be carried out using Microwave Assisted Extraction (MAE). This study aimed to determine best operation parameters for residual palm oil recovery using MAE and compare it to Ultrasound Assisted Extraction (UAE). The oil extraction was carried out using hexane as solvent at variable microwave power (100, 180, and 300 W), SBE to solvent ratio (1:4, 1:5, 1:6), and extraction time (50,70 and 80 min). The highest oil yield was achieved at microwave power of 300 W, SBE to solvent ratio of 1:5 and extraction time of 80 min at 20.97%. The main components of the oil produced were C16 (56.65 %wt) and C18.1 (28.35 %wt). The free fatty acid content, moisture, iodine value, deterioration of bleachability index (DOBI) and peroxide value of the resulting oil were 10.91%, 1.52%, 56.71 g I2/100 g, 1.372 and 7.419 meq/kg respectively.
Characteristics of instant porridge from cassava flour fortified anchovy flour, and yellow pumpkin flour from Indonesian Local Resources
Authors: Nurminah M , Pratiwi Y , Lubis Z 
Published: December 2022

Abstract
This study aimed to produce modern functional food products, obtain the bestquality instant porridge formula, and determine the effect of the formulation of cassava flour and anchovy flour and the addition of yellow pumpkin flour for health. This study used a completely randomized design (CRD) with 2 factors, namely the ratio of cassava flour to anchovy flour (Factor I) which was 97.5%: 2.5%; 95%:5%; 92.5%:7.5%; 90%:10% and the addition of yellow pumpkin flour (Factor II) ie 0%; 5%; 10%; 15%. Several parameters carried out in this study consisted of proximate tests (moisture content, ash content, fiber content, fat content, protein content, carbohydrates) and organoleptic tests (color, aroma, taste, texture, and general acceptance). Results obtained on all test parameters, it can be determined that instant porridge with a ratio of cassava flour and anchovy flour (90%: 10%) and the addition of yellow pumpkin flour (15%) was the best treatment of instant porridge product.
Anatomical properties of branches and twigs mangrove woods
Authors: Panggabean L E , Nuryawan A , Risnasari I , Susilawati  
Published: December 2022

AbstractIn order to optimize the utilization of mangrove woods, particularly branches and twigs parts, this research was conducted to investigate anatomical properties of three species of mangrove woods, namely api-api (Avicennia marina), bakau minyak (Rhizopora apiculata), and berembang (Sonneratia caseolaris). The properties were comprised of both microtome sections and macerations dimensions. Procedure for microtome followed Sass method, resulted in three sections for each part, namely cross-section (L/longitudinal), radial/R section, and tangential/T section. Technical procedure for maceration based on Forest Product Laboratory (FPL) method, resulted in measurement of fiber dimension and derivative of fiber dimension. In term of microtome, the anatomical features between branches and twigs for each species in L, R, T sections are similar, but their quantitative anatomical observations between twigs and branches have differences in the vessel, rays and fiber parameters statistically. In term of fiber dimension and its derivatives (Runkel Ratio, Felting Power, Mulhstep Ratio, Coefficient Rigidity, Flexibility Ratio) both branches and twigs showed same quality class, namely 3rdclass with scored 150-175 points.
Literature Review: Identification Of Sustainable Ecotourism In Tangkahan
Authors: Siregar Onan Marakali , Siregar Afrila Mulyati , Andriansyah  
Published: December 2022

Abstract
Ecotourism development is an effort to develop sustainable and environmentally friendly tourism so that it can be enjoyed for a more extended period. Ecotourism does not only offer travel but creates an element of learning in it. As a result, managing sustainable tourism destinations related to governance in carrying out tourism activities is increasingly important. In this paper, the approach used in the literature review is collected from several publishers such as emerald, Wiley, research gate, science direct, and Thomson and then studied systematically, which is related to this paper, totalling 50 articles. The purpose of this paper is to present a conceptual framework for ecotourism that combines the concept of 4a's tourism as a framework for identifying and developing tourist destinations. This paper explores the essence of ecotourism related to sustainable tourism through the 4A component of tourism. The findings show that ecotourism contributes differently to other tourism depending on the sub-topics raised. It can be underlined that the literature review is long-term research integrated between ecotourism management and stakeholders such as the government, residents and consumers needed to carry out ecotourism literacy for the environment.
Utilization of UAV (Unmanned Aerial Vehicle) technology for mangrove species identification in Belawan, Medan City, North Sumatera, Indonesia
Authors: Thoha A S , Lubis O A , Hulu D L N , Sari T Y , Ulfa M , Mardiyadi Z 
Published: December 2022

Abstract
The mangrove forests in Indonesia are starting to decrease over time because there is still a lack of knowledge among people around the coast about the importance of mangroves. Kampung Nelayan, Medan Belawaan, is a coastal community area whose life is very dependent on coastal, mangrove, and water resources. Unmanned Aerial Vehicle (UAV) technology has the potential to provide a fast, cost-effective, and efficient mangrove mapping technique. It is very useful because mangrove areas are located in remote areas, where field measurements are difficult, time-consuming, and expensive. The objective of this study is to analyze mangrove species using UAV imagery with Object-Based Image Analysis (OBIA) classification. The object-based classification result for the overall accuracy is 82.94% where there are 7 classes of mangrove species based on the classification process, including: Avicennia alba, Avicennia officinialis, Avicennia Marina, Rhizopora apiculata, Nypah fruticans, Scyphipora hydrophylacea, Bruguiera gymnorriza. There are also two classes for non-mangrove, consisting of the water body and non-mangrove. The largest area of mangrove species in the research site is Avicennia Marina with a percentage of 33.86% covering an area of 7.80 Ha. The second-largest mangrove species with a percentage of 21.88% is Avicennia officinalis with an area of 5.04 Ha.
Highly elastic and self-healing nanostructured gelatin/clay colloidal gels with osteogenic capacity for minimally invasive and customized bone regeneration
Authors: Dou Zhenzhen , Tang Han , Chen Kaiwen , Li Dize , Ying Qiwei , Mu Zhixiang , An Chuanfeng , Shao Fei , Zhang Yang , Zhang Yonggang , Bai Haoliang , Zheng Guoshuang , Zhang Lijun , Chen Tao , Wang Huanan 
Published: December 2022

Abstract
Extrusible biomaterials have recently attracted increasing attention due to the desirable injectability and printability to allow minimally invasive administration and precise construction of tissue mimics. Specifically, self-healing colloidal gels are a novel class of candidate materials as injectables or printable inks considering their fascinating viscoelastic behavior and high degree of freedom on tailoring their compositional and mechanical properties. Herein, we developed a novel class of adaptable and osteogenic composite colloidal gels via electrostatic assembly of gelatin nanoparticles and nanoclay particles. These composite gels exhibited excellent injectability and printability, and remarkable mechanical properties reflected by the maximal elastic modulus reaching ∼150 kPa combined with high self-healing efficiency, outperforming most previously reported self-healing hydrogels. Moreover, the cytocompatibility and the osteogenic capacity of the colloidal gels were demonstrated by inductive culture of MC3T3 cells seeded on the three-dimensional (3D)-printed colloidal scaffolds. Besides, the biocompatibility and biodegradability of the colloidal gels was proved in vivo by subcutaneous implantation of the 3D-printed scaffolds. Furthermore, we investigated the therapeutic capacity of the colloidal gels, either in form of injectable gels or 3D-printed bone substitutes, using rat sinus bone augmentation model or critical-sized cranial defect model. The results confirmed that the composite gels were able to adapt to the local complexity including irregular or customized defect shapes and continuous on-site mechanical stimuli, but also to realize osteointegrity with the surrounding bone tissues and eventually be replaced by newly formed bones.
Convolutional neural network analysis of x-ray diffraction data: strain profile retrieval in ion beam modified materials
Authors: Boulle A , Debelle A 
Published: December 2022

Abstract
This work describes a proof of concept demonstrating that convolutional neural networks (CNNs) can be used to invert x-ray diffraction (XRD) data, so as to, for instance, retrieve depth-resolved strain profiles. The determination of strain distributions in disordered materials is critical in several technological domains, such as the semiconductor industry for instance. Using numerically generated data, a dedicated CNN has been developed, optimized, and trained, with the ultimate objective of inferring spatial strain profiles on the sole basis of XRD data, without the need of a priori knowledge or human intervention. With the example ZrO2 single crystals, in which atomic disorder and strain are introduced by means of ion irradiation, we investigate the physical parameters of the disordered material that condition the performances of the CNN. Simple descriptors of the strain distribution, such as the maximum strain and the strained depth, are predicted with accuracies of 94% and 91%, respectively. The exact shape of the strain distribution is predicted with a 82% accuracy, and 76% for strain levels <2% where the amount of meaningful information in the XRD data is significantly decreased. The robustness of the CNN against the number of predicted parameters and the size of the training dataset, as well as the uniqueness of the solution in some challenging cases, are critically discussed. Finally, the potential of the CNN has been tested on real, experimental, data. Interestingly, while the CNN has not been trained to operate on experimental data, it still shows promising performances with predictions achieved in a few seconds and corresponding root-mean-square errors in the 0.12–0.17 range for a fully automated approach, vs. a 0.06–0.12 range for a classical, human-based, approach that, in turn, requires several tens of minutes to optimize the solution. While the overall accuracy of the CNN has to be improved, these results pave the way for a fully automated XRD data analysis.
Friar Lawrence’s Confessional: Shakespeare through the lens of a webcam
Authors: Paton Emma 
Published: December 2022

Abstract
A review of Friar Lawrence’s Confessional, a digital adaptation produced by Creation Theatre, discusses how the adaptation utilises the Zoom online conferencing platform as both a stage and setting for the performance, varying between ‘showing’ and ‘telling’ modes to retain both the narrative of the source text (William Shakespeare’s Romeo and Juliet) and the central conceit of the production: that the audience is viewing the Friar through his webcam.
Target Trial Emulation and Bias Through Missing Eligibility Data: An Application to a Study of Palivizumab for the Prevention of Hospitalization Due to Infant Respiratory Illness
Authors: Tompsett Daniel , Zylbersztejn Ania , Hardelid Pia , De Stavola Bianca 
Published: December 2022

Abstract
Target trial emulation (TTE) applies the principles of randomized controlled trials to the causal analysis of observational data sets. One challenge that is rarely considered in TTE is the sources of bias that may arise if the variables involved in the definition of eligibility for the trial are missing. We highlight patterns of bias that might arise when estimating the causal effect of a point exposure when restricting the target trial to individuals with complete eligibility data. Simulations consider realistic scenarios where the variables affecting eligibility modify the causal effect of the exposure and are missing at random or missing not at random. We discuss means to address these patterns of bias, namely: 1) controlling for the collider bias induced by the missing data on eligibility, and 2) imputing the missing values of the eligibility variables prior to selection into the target trial. Results are compared with the results when TTE is performed ignoring the impact of missing eligibility. A study of palivizumab, a monoclonal antibody recommended for the prevention of respiratory hospital admissions due to respiratory syncytial virus in high-risk infants, is used for illustration.