bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reactive Power Optimization of Power Grid based on TTGA Hybrid Algorithm
Authors: Sun Lei , Jing Feng , Sun Fan , Guo Hongyan , Xiong Dengyu , Feng Hanfu , Zhang Lu 
Published: October 2020

Abstract
A new hybrid algorithm named TTGA hybrid algorithm which means genctic and tabu hybrid algorithm (TGA) with optimized tent mapping is proposed in this paper, through the research of tabu search(TS), genetic algorithm (GA)and chaotic algorithm(COA)[1].Based on evolutionary group generated by GA, auxiliary group formed by optimized tent mapping are ledinto group through specific selection mechanism so that the group become more diverse and effective. And in the meanwhile the tabu list is used to add a memory so that a similarity judgment mechanism is set based on the same individuals among group which provides a basis for using the TS operator to realize local fine search, so the tabu search plays the role of avoiding roundabout. In the new algorithm the introduction of TS ensures the capacity of hill climbing and refined search while the diversity of population and the effectiveness of evolution is assured by the regularity and ergodicity of chaotic. In this paper GA, IGA and TGA and TTGA is used in reactive power optimization of power grid, the results show that TTGA has the best performance on convergence and overall search.
Probabilistic Wind Speed Forecasting based on Minimal Gated Unit and Quantile Regression
Authors: Chen Tianyang , Qian Zheng , Jing Bo , Wan Jiangwen , Zhang Fanghong 
Published: October 2020

Abstract
High-quality wind speed forecasting (WSF) is of great significance to the power system planning and operation. In this paper, a hybrid method based on Minimal Gated Unit (MGU) and Quantile Regression (QR) is proposed for 2-hour WSF. Firstly, abnormal data is filtered by using the operating mode of SCADA system and Linear Interpolation algorithm is used for missing data imputation. Secondly, this paper embeds conditional quantile as an internal unit of MGU network. We estimate the parameters of MGU network under different quantile conditions, and calculate output under each quantile condition to obtain probabilistic WSF. At last, SCADA data collected from three wind turbines is applied to test the model performance. Both point and interval evaluation criteria are applied to evaluate the performance of models. The results show that the proposed model can obtain multi-step WSF with both point and interval prediction, compared with typical methods, it has higher accuracy in interval predictions and lower computation cost.
Processor-in-the-Loop Simulation of Three Port DC/DC Converter for DC Power Generation and Distribution System
Authors: Yang Yang , Jia Yiting , Li Anshou , Zhang Hua , Wang Zicai 
Published: October 2020

Abstract
Offline microgrid systems often use DC power generation and distribution systems. The spacecraft power system is a typical application of this system. The demand for massive, intensive launch and diversified functions in new aerospace applications puts forward requirements for off-the-shelf sales, fault tolerance, and rapid integration for the spacecraft power system. This article uses a three-port converter SRB3C to design a scalable DC power generation and distribution system with MPPT and flexible parallel ability. The power converter uses TMS320F28335 as a microcontroller to realize MPPT, droop control, current and voltage closed-loop control, and other functions. To fully verify the system and ensure the reliability of the spacecraft, the processor-in-the-Loop simulation model of the system is built to verify the binary program running in the processor under various operating conditions. The results show that the DC power generation and distribution system composed of SRB3C can meet the needs of spacecraft applications.
International Practice of Improving Power System Flexibility and Its Enlightenment to China
Authors: Cui Fubo , Hu Yuou , Zhang Tao , Zhang Jing , Liao Zhengkan , Zhao Guixin 
Published: October 2020

Abstract
With the rapid increase in the proportion of renewable energy in the power system, the volatility of renewable energy output has greatly increased the risk of power system operation and brought about the need for power system flexibility. A reasonable market mechanism in the electricity market can stimulate flexibility resources and fully exploit the flexibility of the system, which plays an important role in the efficient and safe operation of the power system. This paper studies several countries or regions that have a high share of renewable energy and have established relatively mature power markets, and then analyzes and compares the power system flexibility needs of these regions and the market mechanisms used to increase flexibility. Finally, the enlightenment of international practice to China based on the current situation is summarized.
GIS Mechanical Fault Diagnosis Method Based on Middle Time Mel Cepstrum Coefficient
Authors: Jiang Yi , Xu Mingyue , Lin Rui , Hong Lezhou , Lu Guosheng , Li Zhe 
Published: October 2020

Abstract
Mechanical fault is a common fault of gas insulated switchgear (GIS). If not found in time, it will cause major safety hazards such as opening and closing fault. In this paper, a diagnosis method based on improved Mel cepstrum coefficient for GIS mechanical fault on-line monitoring is proposed. Firstly, the Mel frequency cepstral coefficients (MFCC) are extracted from the preprocessed sound signals; in order to adapt to the characteristics of smooth sound energy change in GIS operation, the MFCC is optimized to obtain improved features; Support Vector Machine (SVM) is introduced to build a GIS mechanical fault diagnosis model based on acoustics and uses bagging algorithm to integrate the SVM model. In this study, mechanical fault is simulated on real GIS to obtain real fault sound signals for training and testing. The experimental results show that compared with the traditional MFCC, the improved MFCC has a higher recognition accuracy in GIS fault sound recognition system. The F1-score is generally over 80%, and the F1-score of specific mechanisms can even reach 99%.
Addendum to ‘Assessing ExxonMobil’s climate change communications (1977–2014)’ Supran and Oreskes (2017 Environ. Res. Lett. 12 084019)
Authors: Supran Geoffrey , Oreskes Naomi 
Published: October 2020

Abstract
In our 2017 study ‘Assessing ExxonMobil’s climate change communications (1977–2014)’, we concluded that ExxonMobil has in the past misled the public about climate change. We demonstrated that ExxonMobil ‘advertorials’—paid, editorial-style advertisements—in The New York Times spanning 1989–2004 overwhelmingly expressed doubt about climate change as real and human-caused, serious, and solvable, whereas peer-reviewed papers and internal reports authored by company employees by and large did not. Here, we present an expanded investigation of ExxonMobil’s strategies of denial and delay. Firstly, analyzing additional documents of which we were unaware when our original study was published, we show that our original conclusion is reinforced and statistically significant: between 1989–2004, ExxonMobil advertorials overwhelmingly communicated doubt. We further demonstrate that (i) Mobil, like Exxon, was engaged in mainstream climate science research prior to their 1999 merger, even as Mobil ran advertorials challenging that science; (ii) Exxon, as well as Mobil, communicated direct and indirect doubt about climate change and (iii) doubt-mongering did not end after the merger. We now conclude with even greater confidence that ExxonMobil misled the public, delineating three distinct ways in which they have done so.
Crop rotations sustain cereal yields under a changing climate
Authors: Marini Lorenzo , St-Martin Audrey , Vico Giulia , Baldoni Guido , Berti Antonio , Blecharczyk Andrzej , Malecka-Jankowiak Irena , Morari Francesco , Sawinska Zuzanna , Bommarco Riccardo 
Published: October 2020

Abstract
Agriculture is facing the complex challenge of satisfying increasing food demands, despite the current and projected negative impacts of climate change on yields. Increasing crop diversity at a national scale has been suggested as an adaptive measure to better cope with negative climate impacts such as increasing temperatures and drought, but there is little evidence to support this hypothesis at the field scale. Using seven long-term experiments across a wide latitudinal gradient in Europe, we showed that growing multiple crop species in a rotation always provided higher yields for both winter and spring cereals (average +860 and +390 kg ha−1 per year, respectively) compared with a continuous monoculture. In particular, yield gains in diverse rotations were higher in years with high temperatures and scant precipitations, i.e. conditions expected to become more frequent in the future, rendering up to c. 1000 kg ha−1 per year compared to monocultures. Winter cereals yielded more in diverse rotations immediately after initiation of the experiment and kept this advantage constant over time. For spring cereals, the yield gain increased over time since diversification adoption, arriving to a yearly surplus of c. 500 kg ha−1 after 50–60 years with still no sign of plateauing. Diversified rotations emerge as a promising way to adapt temperate cropping systems and contribute to food security under a changing climate. However, novel policies need to be implemented and investments made to give means and opportunities for farmers to adopt diversified crop rotations.
Analytical solution of the SIR-model for the temporal evolution of epidemics. Part A: time-independent reproduction factor
Authors: Kröger M , Schlickeiser R 
Published: October 2020

Abstract
We revisit the susceptible-infectious-recovered/removed (SIR) model which is one of the simplest compartmental models. Many epidemological models are derivatives of this basic form. While an analytic solution to the SIR model is known in parametric form for the case of a time-independent infection rate, we derive an analytic solution for the more general case of a time-dependent infection rate, that is not limited to a certain range of parameter values. Our approach allows us to derive several exact analytic results characterizing all quantities, and moreover explicit, non-parametric, and accurate analytic approximants for the solution of the SIR model for time-independent infection rates. We relate all parameters of the SIR model to a measurable, usually reported quantity, namely the cumulated number of infected population and its first and second derivatives at an initial time t = 0, where data is assumed to be available. We address the question of how well the differential rate of infections is captured by the Gauss model (GM). To this end we calculate the peak height, width, and position of the bell-shaped rate analytically. We find that the SIR is captured by the GM within a range of times, which we discuss in detail. We prove that the SIR model exhibits an asymptotic behavior at large times that is different from the logistic model, while the difference between the two models still decreases with increasing reproduction factor. This part A of our work treats the original SIR model to hold at all times, while this assumption will be relaxed in part B. Relaxing this assumption allows us to formulate initial conditions incompatible with the original SIR model.
Three-dimensional Numerical Simulation of the Flow Field in the Potato Storage in Summer
Authors: Zhao Yuqiang , Zhang Wenjie , Ma Shengbing , Zhou Jianwei 
Published: October 2020

Abstract
In recent years, with the rapid growth of potato demand, potato storage has become extremely important. It is vital that controls the ambient temperature and wind speed during potato storage. Therefore, this work simulated the temperature field and air flow organization in a potato storage using the underfloor air supply. The established computational fluid dynamics (CFD) model was used to study the temperature field and airflow organization in the warehouse under different air supply parameters, and compared the results to get their change rule. On this basis, the influence of the underfloor air supply on the flow field was studied to verify its feasibility. The results show that under reasonable conditions, the underfloor air supply can effectively guarantee the required temperature and airflow organization.
Thermal Models for Evaporative Cooling on Photovoltaic Panel Attached with a Wetted Salo Fabric
Authors: Gleebpratum B , Salakij S 
Published: October 2020

AbstractPhotovoltaic (PV) panel efficiency is dropped when an operating temperature has increased. An evaporative cooling by attaching a wetted Salo fabric at the back surface of the panel has been used to resolve this problem. This paper presents thermal models, which will be used as a design tool to improve the panel efficiency on the actual photovoltaic panel, to predict the back surface temperature of the photovoltaic panel. Two cases are investigated: (i) plain photovoltaic and (ii) photovoltaic with cooling device. An experiment is setup to validate the thermal models by using photovoltaic model, which made from an aluminium attached with a silicone heater, to represent for an actual photovoltaic panel. The experiment is tested in the controlled condition room. The results from the thermal models are nearly predict the back surface temperature compared with the experimental data. It shows that the temperature difference of back surface temperature between uncooling and cooling cases is 24.5°C.
School Building Occupancy and Energy Efficiency Modelling: Two Case Studies
Authors: Khamseh Negar Sheikh Mohammadi , Angelis Enrico De 
Published: October 2020

Abstract
Comparing the results of energy simulations with real energy consumption of the buildings, often shows discrepancies between the two. This research aims in, exploring the gap between simulated models and actual energy consumption of buildings, by analyzing the impacts of, number of occupants and their presence time in the building. Two Italian school buildings (Aldo Moro and Andersen schools in Seregno) are chosen as cases. The buildings’ simulations, once using standard profiles (ASHRAE), and once using the actual occupancy profiles (from real schedules) are compared with the real gas consumption of the buildings in three years (2014-2016). In Andersen school, the results show 47% of a discrepancy between the ASHRAE and actual occupancy simulations, with the average of the gas bills of 3 years. In Aldo Moro, there is a variation of 65% (ASHRAE) and 55% (actual occupancy) from the average value of the bills. It shows that by implementing the real occupancy of the building in Aldo Moro, the results got closer to the real energy bills. This could be due to the reason that Aldo Moro has a higher number of students and considering the more precise schedule of occupants, had a greater impact on annual energy consumption, as compared to the Andersen school, which is smaller and has a smaller number of students.
Amplification and cloning of arabidopsis 6xhis-tagged mpk6 fusion encoded gene to characterize biochemical mitogen-activated protein kinase in disease resistance role against Fusarium graminearum
Authors: Rahmah M H , Nishiuchi T 
Published: October 2020

Abstract
The Mitogen-Activated Protein Kinase (MPK) cascade plays an important role in the intracellular signaling transduction pathway leading to resistance against phytopathogens produced by Fusarium graminearum. In the cascade, there are three prominent kinase protein groups involved, an MPK kinase kinase (MPKKK), MPK kinase (MPKK), and an MPK. Recognitions of pathogen-derived molecules in plants trigger rapid activation of some MPKs including MPK6 which are found in a wide variety of plant species, including in Arabidopsis thaliana. The structure of MPK6 contains kinase domain and common docking (CD) domain. CD domain is phosphorylated by interact with MPKK. Moreover, the MPKK which binds to MPK6 and its phosphorylation mechanism are still unknown, so as initial study is needed to investigate biochemical characterization by prepare MPK6 protein. In this research, mpk 6 was amplified by using a pair primer and subsequently was ligated into pET160/GW/D-TOPO vector which contained with sequence encoded 6xHistidine tag protein for protein purification assay.
Profile of bioactive compounds, antioxidant and aromatic component from several clones of cocoa beans during fermentation
Authors: Septianti E , Salengke  , Langkong J 
Published: October 2020

AbstractCommonly cocoa beans containing various chemical components, nutrients, and bioactive compound. The main bioactive compounds in cocoa beans consisting flavonoids and methylxantines has an positive influence on the health of the human body. Besides the fermented cocoa beans also produce a distinctive of cocoa aromatic. One of the main factors influencing the formation of aroma, chemical content and bioactive compounds of cocoa beans is the fermentation process. The purpose of research is to determine the effect of fermentation duration of cocoa clones with different varieties on the profile of bioactive compounds, antioxidant activity and aromatic components (volatiles) that occur in cocoa beans during fermentation. The treatment was arranged in a Randomized Block Design of two factors, the first factor is cocoa clones (Sulawesi 2/S2 clones and local clones) and the second factor is fermentation time (0, 2, 4 and 6 days). The observed parameters were polyphenol content, antioxidant activity, flavonoid bioactive compounds (catechin and epicatechin) and methylxanthine (theobromin and caffeine), as well as aromatic components (volatile) of fermented cocoa beans. The results of the study was showed that cocoa beans from local clones providing polyphenols, antioxidant activity and bioactive compounds (catechin, epicatechin and theobromine) are higher than S2 clones. While the high caffeine content and distinctive aroma of the pyrazine compound were produced from S2 cocoa beans on 6 days fermentation. The average content of polyphenols, antioxidants and bioactive compounds in non-fermented cocoa beans is higher than fermented beans, but the resulting scent is not strong. The results of the research are expected to obtain information about the profile of bioactive compounds, antioxidants and aromatic components of cocoa beans especially derived from Pinrang district has the potential improving community health.
Brassica box food products as a healthy local food innovation in The Covid-19 pandemic period
Authors: Wijaya Hengki , Rouw Reinaldy Hank , Kadir A R 
Published: October 2020

Abstract
The Covid-19 pandemic is now becoming a fear of the people. Food products and unhealthy eating patterns bring problems for health. It brings two main issues, namely the impact produced by coronaviruses for health and the effect produced by-products and eating habits that are not good for health. Therefore, the authors innovate by developing Brassica Box food products, which are food products made from cauliflower that are healthy, delicious, attractive, and straightforward. At the very least, this food product can be an alternative healthy food product in the Covid-19 pandemic. This paper will discuss how Brassica Box can be an alternative to healthy food in the Covid-19 epidemic and can be an entrepreneurial opportunity. Through entrepreneurship courses, students learn the methodology of entrepreneurship along with Brassica Box product development itself through manufacturing procedures, costs, and design innovation of Brassica Box products. The method used is the organoleptic test and Focus group Discussion with data analysis of each indicator with a Likert Scale. By conducting experimental research in class, it is proven that Brassica Box is a food product that has a good texture, aroma, and taste, and is also healthy for consumption.
Isolation and identification lactic acid bacteria of honey-enriched functional beverage from cassava (manihot esculenta) tapai from Sinjai regency
Authors: Sari Nurlaila , Zainal  , Tahir Mulyati M. 
Published: October 2020

Abstract
Cassava (Manihot esculenta) tapai is a traditional food that is classified as a source of probiotics because it is known to contain lactic acid bacteria (LAB). Cassava tapai is processed by many people in Sinjai Regency to become a functional beverage and one of the ingredients added is honey which has a high sugar content as one of the sources of BAL nutrition. The purpose of this study was to isolate and identify the types of LAB with probiotic potential in functional drinks of cassava (Manihot esculenta) during freezing temperature storage. Functional drinks of cassava (M. esculenta) tapai were treated with the addition of honey namely M1 = 0% (control), M2 = 2% honey, M3 = 4% honey, M4 = 6% honey, M5 = 8% honey. Microbial isolation and characterization, probiotic testing, and molecular testing were carried out to identify the probiotic bacterial species in functional drinks of cassava. Based on the results of the study it can be concluded that the two isolates were identified as BAL with probiotic potential from the functional drinks of cassava (M. esculenta) namely Pediococcus acidilactis and Weissella cibaria.
Survival of Lactobacillus plantarum dad 13 in probiotic cheese making
Authors: T R Meidistria , Sembiring L , Rahayu E S , Haedar N , Dwyana Z 
Published: October 2020

Abstract

Lactobacillus plantarum Dad 13 is a group of Lactic Acid Bacteria, which was isolated from “Dadih” (traditional fermented buffalo milk) has known as indigenous probiotic from Indonesia. Probiotics are defined as living microorganisms and have health benefits with consumption for use as a supplement of food with the amount of cell viability at least 108 cells. L. plantarum frequently used as a starter in probiotic drink, especially in fermented milk. Milk is a valuable source of nutritional substances with the composition of water, protein, fat, sugars, mineral salts, vitamins, and enzymes for the living of microorganisms. To study the potential of L. plantarum Dad 13 in milk, we present an updated inventory of L. plantarum Dad 13 used in milk to making cheese. These we are applied L. plantarum Dad 13 to produce lactic acid for making curds. Combination treatment of biomass production used for cheese making that was biomass production using coconut water and MRS medium. The different combinations of a medium can influence the biomass viability of L. plantarum Dad 13 in cheese. The result showed that the viability of L. plantarum Dad 13 in cheese using two kinds of media during the production of biomass (i.e., coconut water and MRS) were almost similar during two months of storage, that was 103 cfu/g. They decreased on viability after two-month storage was about 3 log cycles. The result showed that viable the cell of L. plantarum Dad 13 in this cheese did not agree with the criterion of a minimum of 106 – 108 cfu/g viable cells as a probiotic product. Overall, local isolates of L. plantarum Dad 13 can be applied in the process of cheese making.