bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of Utilizations Abaca Fibre with Kalimantan Local Material on The Concrete Compressive and Flexural Strength
Authors: Pranoto Y , Suryono J , Rahman L H 
Published: August 2021

Abstract
East Kalimantan is an area which rich in natural resources, as a Mahakam sand and local stones. They also have abaca fibre waste to increase the flexural strength of concrete. This material is still underutilized by the people of East Kalimantan. But, they prefer to use materials imported from Palu, Sulawesi, so the unit price of concrete is very expensive. The purpose of this study was to investigate the effect of local Kalimantan material and abaca fibre on the strength of concrete. This research begins with a literature review, then material procurement, and material testing. After that, make a concrete mix design. Make of specimens with a variation of abaca fibre 0%, 0.4%, 0.5% and 0.6%. Then the compression test at the age of 7, 14, 21, and 28 days. The flexural strength testing at the ages of 28 days. From the test results can make analysis and conclusions. From the research results, it indicated that the maximum compressive strength in the addition of abaca fibre 0.0% with the compressive strength 27.31 MPa, and the maximum of flexural strength in the additional of abaca fibre 0.6 % wth flexural strength 3.56 MPa.
Analysis of travel behaviors during floods in Ubon Ratchathani city, Thailand
Authors: Tsumita N , Jaensirisak S , Kikuchi H , Fukuda A 
Published: August 2021

Abstract
Cities in Southeast Asia frequently face urban floods, and transportation is often disrupted due to road closures. To reduce road transport vulnerability, the road network should be properly adapted for the flooding condition. To generate suitable adaptation measures for road transportation, travel behaviors under flooding condition, and their differences under normal conditions should be clarified. We aimed to understand the changes in travel behaviors caused by urban floods to compare with normal and flooding conditions in Ubon Ratchathani City, Thailand. A questionnaire survey was applied to understand the travel behaviors under both conditions, and its comparison revealed that under flooding, people prefer early departure time, and reduce the trip frequency depending on trip purpose. Moreover, we compared the route choice behaviors under both conditions using geographic information system (GIS) from collected data. Comparison with travel behaviors under both conditions, we clarified the change in travel behaviors under flooding and that differed from the affected extent depending on trip purpose.
Finding an Optimum Grid Size for Numerical Simulations of Dam-break Flow Using Open-Access Digital Elevation Models
Authors: Ginting B M , Yudianto D , Willy  , Ginting A H 
Published: August 2021

Abstract
This work presents numerical simulations for dam-break flow with open-access digital elevation models (DEMs). The objective is to find an optimum grid size for the simulations in terms of accuracy and computational cost. A hypothetical breaching case of Batutegi dam in Indonesia was selected as a case study. Three DEM types with different spatial resolutions, i.e. MERIT-Hydro (∼90 m), ALOS (∼30 m), and DEMNAS (∼8.1 m), were employed. For each DEM, the numerical simulations were performed using four grid sizes, from the lowest to the finest resolution, i.e. 200 m, 90 m, 50 m, and 20 m. All simulations were carried out on a desktop consisting of 10 cores/20 threads with an in-house code NUFSAW2D, enabling parallelization, where double precision arithmetic was used. It was observed that using the computational grid size finer than 50 m produces no longer significant differences of the maximum inundation boundary, maximum depth, maximum velocity, and average depth. This study would be useful for engineers and decision makers, when performing dam-break simulations using DEMs in a framework of an early-warning system.
The Reliability of X-Band Multiparameter Radar Rainfall Estimates
Authors: Fajriani Q R , Jayadi R , Legono D , Sujono J 
Published: August 2021

Abstract
Rainfall monitoring is an important activity for the development of a water-related disaster mitigation system. The rain gauge measurement is still regarded as the “ground truth”. To obtain the rainfall that represents an area, a high density of rain gauges network is needed. Besides, the installation of a large numbers of rain gauges is considered inefficient. The utilization of advanced technology is deemed necessary to complement the rainfall monitoring system, one of which is by using radar. Altough the radar rainfall estimates have a better spatial resolution, but the reliability needs to be evaluated. This study was carried out to evaluate the reliability of rainfall data from an X-Band Multiparameter radar by classifying the intensity of heavy rain and moderate rain. Then radar rainfall data was corrected using the Adjustment Factor (AF) method. The results show that the radar rainfall has better accuracy in predicting the moderate rain rather than the heavy rain. Furthermore, the X-Band MP radar has better accuracy when predicting rain in an area that has the elevation below the radar than the higher elevation area. Correction of the radar rainfall data using the AF factor produces a rainfall estimates which is closer to the ARR rain.
Water Quality Modelling of the Cibarani Irrigation Channel, Bandung City
Authors: Fitriana Finna , Yudianto Doddi , Trisnojoyo Randy R 
Published: August 2021

Abstract
Cikapundung River is the primary source of Bandung City’s water supply and has been utilized for various purposes. However, the intensive urban growth has increased the number of people living at the riverbanks, increasing the water pollution. One of the examples is the Cibarani irrigation channel, which function was transformed into domestic sewage. The channel receives excess rainfall and household wastewater from the surrounding residential areas comprised of human waste and detergents. Despite the fact that the water is heavily polluted, the local community still resort to this water for fish farming and washing. Consequently, a study is urgently needed to reduce the impact of the disposed pollutants in the channel and control its water quality to meet the raw water standard. This study focuses on the identification of the water quality profile along the Cibarani irrigation channel. Various scenarios are modeled to estimate the volume and concentration of the domestic waste disposed to the channel. The result shows that the water quality of the Cibarani irrigation channel has not met the Class II Raw Water Standard. It is required to increase the discharge of the irrigation channel and control the effluent concentration to reduce the impact of the pollutants.
Efficiency of Smart Sluice Gate in Agricultural Water Distribution on Paddy (Oryza sativa L.)
Authors: Syazili As’ad , Kurniawan Adhy , Widada Jaka , Setyawan Galih , Pratama Tirza SS 
Published: August 2021

Abstract
The development of irrigation sluice gate is to optimize the use of water in agriculture, the development is carried out on a laboratory scale in the hydraulics and environment laboratory, then the implementation was located at PIAT UGM in block A covering an area of 6.93 ha, Kali Tirto Village. The objective of this research is investigate the efficiency of smart sluices with manual sluices using the Bernoulli equation. Based on the analysis, the efficiency in manual sluice openings with 10 variations obtained an average of 49%, while the smart sluice openings with a 5 cm open scenario, variations in gate openings can be carried out continuously, the average result of the smart sluice efficiency analysis is 72%, so the smart sluice has a greater efficiency value than the manual sluice gate.
Ultra Short Term Wind Power Prediction Model Based on WRF Wind Speed Prediction and CatBoost
Authors: Liu Xingdou , Zhang Li , Zhang Zhirui , Zhao Tong , Zou Liang 
Published: August 2021

Abstract
Due to the urgent requirements of clean energy development, the installed capacity of wind turbine is gradually increasing. In order to achieve effective wind turbine grid control, accurate wind power prediction is very important. In this paper, based on the US Atmospheric Research Center (NCAR) Weather Research and Forecast (WRF) model, the predicted wind field is obtained. Then, a super short-term fast wind power prediction model is proposed, which is composed of Spearman correlation coefficient method for feature extraction and catboost algorithm. With historical power, historical wind speed and predicted wind speed as inputs, the predicted power in the next 4 hours (15 minutes interval) is output. In order to evaluate the prediction ability of the proposed model, four algorithms, LSTM, CatBoost, XGBoost and LightBGM, are adopted. Taking root mean square error (RMSE), mean absolute error (MAE) and training time as evaluation indexes, the results show that CatBoost has the best comprehensive performance.
Risk Assessment of Electricity Price Considering Guaranteed Accommodation of Renewable Energy in Electricity Market
Authors: Li Siying , Sang Maosheng , He Jie , Jin Luosong , Zhao Wen , Huang Hengzi , Ding Yi 
Published: August 2021

Abstract
Renewable energy generation (REG) based on wind power and photovoltaic has become the main energy supply for the low-carbon energy transformation in China. It is an important task to guarantee the accommodation of renewable energy through the market-based mechanism. However, due to the uncertainty of REG output, the integration of a high proportion of renewable energy into power grids may bring risks to the electricity price. On the basis, this paper incorporates the guaranteed consumption of wind power and photovoltaic renewable energy into the electricity market clearing model and proposes a price risk assessment method. Firstly, the scenario generation algorithm is established to describe the uncertainty of REG output, and a representative set of limited scenarios is generated. Secondly, the clearing model of electricity market with renewable energy participation and the calculation method of nodal price are established. Then, the price risk indexes are proposed to assess the price risk caused by renewable energy uncertainty. Finally, the effectiveness of the proposed method is verified by the modified IEEE30 bus system. The findings could guide the participation of REG in the electricity market.
Event-Driven Fast Frequency Response for Energy Storage System Considering State of Charge
Authors: Cao Yongji , Zhang Hengxu , Yang Dong , Gao Zhimin , Qin Hao , Yang Jinye 
Published: August 2021

Abstract
The increasing penetration of renewable energy sources reduces the equivalent inertia and spinning reserve. Power systems are becoming more and more vulnerable when subjected to active power deficits. With the trait of quick response and flexible ramp, the energy storage system (ESS) offers a promising capability to counter frequency decline after large disturbances. This paper proposes an event-driven fast frequency response (EFFR) approach for the ESS to sustain frequency stability. A centralized EFFR control framework is established, in which the wide area information is collected, and the disturbance power is broadcasted to ESSs under contingencies. Moreover, a fuzzy logic controller (FLC) is employed to determine the power set-point of the ESS based on the disturbance power and state of charge (SOC). A case study is presented to validate the feasibility and effectiveness of the proposed approach.
Flexibility Optimal Dispatching for Power System Considering Demand Response
Authors: Yang Jinye , Cao Yongji , Zhang Hengxu , Liu Xiaoming , Yuan Zhenhua 
Published: August 2021

Abstract
With the increasing penetration of renewable energy sources such as wind and solar power, higher requirements of flexible supply ability for power systems are put forward. In this context, an optimal dispatching method considering two types of demand response is proposed to improve power system flexibility. On the demand side, both the time-of-use (TOU) price and interruptible load are used to guide consumers to actively optimize the load curve, so as to relieve the pressure of the flexible supply of conventional units on the supply side. The demand response model consisting of TOU price and interruptible load is built. Then, taking the minimum cost as the objective function, the optimization model for power system dispatching is solved. Finally, the modified IEEE 30 bus system is taken as a case study. The results show that the consideration of two-type demand response in the optimal dispatching can improve the flexibility while ensuring economy, which verifies the effectiveness of the proposed method.
Resilience-oriented Comprehensive Planning Strategy of Distributed Generator in Power Distribution System
Authors: Li Z.P. , Huang K.C. , Qian T. , Huang W.W. , Tang W.H. 
Published: August 2021

Abstract
Power distribution system resilience is not considered in traditional planning of distributed generator (DG), which leads to severe power outages and economic losses during extreme weather event. To address this issue, this paper proposes a resilience-oriented comprehensive planning strategy of DG in power distribution system. The problem is formulated as a two-stage stochastic mixed-integer second-order cone programming (SMISOCP). The objective of the first stage is to determine the number, location and capacity of DG and obtain the economic cost of power distribution system. The second stage minimizes the resilience cost under uncertain failure scenarios. First, sufficient failure scenarios are generated by the Monte Carlo method. Then the failure scenarios are reduced to the most representative scenarios by using the K-means clustering algorithm to reduce computational burden. Finally, the two-stage SMISOCP is solved based on the reduced failure scenarios. The simulation results of the IEEE 33-bus test systems illustrate the effectiveness of the proposed two-stage strategy.
Frequency Control Strategy of DFIGs based on Improved Virtual Inertia Method
Authors: Gao Zhimin , Cao Yongji , Zhang Hengxu , Qin Hao , Yang Dong , Ma Huan 
Published: August 2021

Abstract
The DFIGs can participate in frequency control by virtual inertia method. After exiting the frequency control, secondary frequency drop will occur inevitably. The current study of the problem mostly focused on the rotor speed recovery strategy and PD control parameter optimization problems, which cannot eliminate the phenomenon of secondary frequency drop in essence. This paper proposes a frequency control strategy based on the improved virtual inertia control method. When the DFIG exits the frequency modulation process, the supplementary control component based on the turbine speed is added to avoid the sudden drop of output power, so as to suppress the secondary frequency drop. Finally, a simulation model is built in Matlab/Simulink, and the feasibility of the proposed strategy is verified in two case studies of power system frequency reduction and load fluctuation.
Zernike mode analysis of an adaptive optics system for horizontal free-space laser communication
Authors: Wang Yukun , Jin Chengbin , Wang Rui , Yin Xianghui , Cao Zhaoliang , Li Dayu , Mu Quanquan , Xuan Li 
Published: August 2021

Abstract
Free-space laser communication (FSLC) has attracted wide attention and developed rapidly due to its high bandwidth and strong capability to resist interception and interference. However, communication performance is severely affected by atmospheric turbulence. In this paper we consider the end face of the coupling fiber and adopted power-in-the-bucket (PIB) as the evaluation criterion instead of the traditionally used coupling efficiency. The relationship between FSLC performance (PIB) and adaptive optics parameters (corrected Zernike modes number) is derived for the first time. We simulated and conducted an 8.9 km horizontal FSLC experiment to analyze the effects of corrected modes on communication performance. The simulation and experiment results consistently show that, for turbulence of r0 = 7.51 cm, it is sufficient to correct the first 30 modes. The bit error rate (BER) and the PIB reached values of about 10−7 and 70%, respectively. For r0 = 4.43 cm correction of the first 22 modes, yielded BER and PIB values of around 10−5 and 55%, respectively. For r0 = 1.7 cm, no matter how many Zernike modes are corrected, the BER and PIB values are about 10−3 and 20% respectively. This experiment and its results provide an important reference for corrected modes on communication performance under different turbulence strengths.
Analytical study of classic models of hybrid inflation
Authors: Malsawmtluangi N 
Published: August 2021

Abstract
We study the classic hybrid inflation model in its original and modified forms and show the shape of the inflationary potentials and analyze the amount of primordial gravitational waves each model predicts. We compare the resulting EE-mode and BB-mode power spectrum with the data from the joint BICEP2/Keck and Planck collaboration to check the viability of each model.
Cross-species higher sensitivities of FcγRIIIA/FcγRIV to afucosylated IgG for enhanced ADCC
Authors: Mao Changchuin , Near Richard , Zhong Xuemei , Gao Wenda 
Published: August 2021

Abstract

Background
Expressing afucosylated human IgG1 antibodies with Chinese hamster ovary (CHO) cells deficient of α-(1,6)-fucosyltransferase (FUT8) is being more and more accepted as a routine method to enhance antibody-dependent cellular cytotoxicity (ADCC) of therapeutic antibodies, especially for anti-cancer regimens. However, in pre-clinical studies relying on disease models other than mice and primates, e.g., those underrepresented species for infectious diseases, it is less clear whether such afucosylated antibodies can demonstrate enhanced therapeutic index. This is because the orthologues of human FcγRIIIA or mouse FcγRIV from those species have not been well characterized.

Methods
We set up a luciferase-based ADCC assay with Jurkat reporter cells expressing FcγRIIIA/FcγRIV from human, mouse, rat, hamster, guinea pig, ferret, rabbit, cat, dog, pig and monkey, and also produced human, mouse, hamster, rabbit and pig IgG from wild type and Fut8−/− CHO cells or hybridomas.

Results
We confirmed that enhanced stimulation through FcγRIIIA/FcγRIV by afucosylated IgG, as compared with wild type IgG, is a cross-species phenomenon.

Conclusions
Thus, efficacy and toxicology studies of the next generation afucosylated therapeutic IgG and Fc fusion proteins in these underrepresented animal models should be expected to generate translatable data for treating human diseases, leading to the expanded applications of this new class of glycoengineered biologics.
Teleclinical Microbiology: An Innovative Approach to Providing Web-Enabled Diagnostic Laboratory Services in Syria
Authors: Karah Nabil , Antypas Konstantinos , Al-toutanji Anas , Suveyd Usama , Rafei Rayane , Haraoui Louis-Patrick , Elamin Wael , Hamze Monzer , Abbara Aula , Rhoads Daniel D , Pantanowitz Liron , Uhlin Bernt Eric 
Published: August 2021

Abstract

Objectives
Telemedicine can compensate for the lack of health care specialists in response to protracted humanitarian crises. We sought to assess the usability of a teleclinical microbiology (TCM) program to provide diagnostic services in a hard-to-reach region of Syria.

Methods
A semimobile station was equipped with conventional micrograph and macrograph digital imaging systems. An electronic platform (Telemicrobiology in Humanitarian Crises, TmHC) was created to facilitate sharing, interpreting, and storing the results. A pilot study was conducted to identify the bacterial species and antimicrobial susceptibility pattern of 74 urinary clinical isolates. An experience survey was conducted to capture the feedback of 8 participants in the program.

Results
The TmHC platform (https://sdh.ngo/tmhc/) enabled systematic transmission of the laboratory records and co-interpretation of the results. The isolates were identified as Escherichia coli (n = 61), Klebsiella pneumoniae (n = 12), and Proteus mirabilis(n = 1). All the isolates were multidrug resistant. The performance of our TCM module was rated 4 (satisfying) and 5 (very satisfying) by 6 and 2 users, respectively. Data security of and cost-effectiveness were the main perceived concerns.

Conclusions
Although we encountered several context-related obstacles, our TCM program managed to reach a highly vulnerable population of 4 million people confined in the northwest region of Syria.
Invited Commentary: Standards, Inputs, and Outputs—Strategies for Improving Data-Sharing and Consortia-Based Epidemiologic Research
Authors: Lacey, Jr, James V , Benbow Jennifer L 
Published: August 2021

AbstractData-sharing improves epidemiologic research, but the sharing of data frustrates epidemiologic researchers. The inefficiencies of current methods and options for data-sharing are increasingly documented and easily understood by any study group that has shared its data and any researcher who has received shared data. In this issue of the Journal, Temprosa et al. (Am J Epidemiol. 2021;191(1):147–158) describe how the Consortium of Metabolomics Studies (COMETS) developed and deployed a flexible analytical platform to eliminate key pain points in large-scale metabolomics research. COMETS Analytics includes an online tool, but its cloud computing and technology are the supporting rather than the leading actors in this script. The COMETS team identified the need to standardize diverse and inconsistent metabolomics and covariate data and models across its many participating cohort studies, and then developed a flexible tool that gave its member studies choices about how they wanted to meet the consortium’s analytical requirements. Different specialties will have different specific research needs and will probably continue to use and develop an array of diverse analytical and technical solutions for their projects. COMETS Analytics shows how important—and enabling—the upstream attention to data standards and data consistency is to producing high-quality metabolomics, consortia-based, and large-scale epidemiology research.
Cognitive Differences between Men and Women with HIV: A Systematic Review and Meta-Analysis
Authors: Dreyer Anna J , Munsami Adele , Williams Taryn , Andersen Lena S , Nightingale Sam , Gouse Hetta , Joska John , Thomas Kevin G F 
Published: August 2021

Abstract

Objective
Although many studies report that women with HIV (WWH) are more vulnerable to cognitive impairment than men with HIV (MWH), this trend is not described consistently in the literature. In this systematic review and meta-analysis, we investigated whether the weight of evidence supports the existence of a significant sex difference in cognitive functioning among people with HIV and, if so, whether specific domains are affected.

Method
A systematic literature search retrieved 4,062 unique articles published between January 2000 and June 2019. Eligibility criteria were that studies directly compared adult WWH and MWH using a neuropsychological test battery. After extensive screening, we included 11 studies in the systematic review (N = 3,333) and 6 in the meta-analysis (N = 2,852).

Results
Six studies included in the systematic review found WWH performed significantly more poorly on measures of cognitive performance than MWH; the other five found no sex differences. Meta-analytic results indicated that WWH performed significantly more poorly than MWH in three cognitive domains (psychomotor coordination, visuospatial learning, and memory), but magnitudes of effect sizes were small (d = −.16, −.43, and − .30, respectively). Analyses detected no sex differences in global cognitive functioning and in the other cognitive domains.

Conclusions
Sex differences in cognitive performance are small, and sociodemographic and psychiatric characteristics of WWH and MWH differ between studies. Cognitive differences between WWH and MWH may be explained by sex-based variation in these characteristics, the impact of which seems to outweigh that of HIV-related clinical variables (e.g., CD4 count and viral load).