bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation of Rainfall Data by The GPM Satellite (Case Study at Sriwijaya University, Indralaya)
Authors: Iryani S Y , Al Amin M B , Muhtarom A 
Published: August 2021

Abstract
The problem in obtaining rainfall data information is that the measurement results of rainfall from the measuring station are not recorded and areas are difficult to reach to measure rainfall directly. Lack of data availability and continuity of rainfall data is one of the obstacles in obtaining climatological information in South Sumatra. GPM satellites (Global Precipitation Measurement) need to be researched in order to overcome obstacles in obtaining rainfall measurement data in an area. This study aims to validate rainfall data from the GPM satellite and daily rainfall data from the measurement results of the Hellmen type automatic rain gauge located in the Hydraulics Laboratory of Sriwijaya University. Validation of rainfall data was carried out to determine the accuracy of the measurement results. Validation was carried out by the Root Mean Square Error Method and the Nash-Sutcliffe Method. The results of the validation showed a high correlation value for the average daily rainfall. The correlation coefficient value is 0,77, the RMSE value is 11,42 and the NSE value is 0,996. The results of the validation of these methods show a strong correlation between the measurement rainfall data in the field and the GPM satellite.
Evaluation of Total Pressure Velocimeter
Authors: Maryono A , Nuranto S , Pratama D , Sembada P T S 
Published: August 2021

Abstract
An accurate and multifunctional water velocity meter is developed to fullfill the need for the appropriate water velocity measurement in Indonesia. The water flow velocity itself can be calculated using the principle of total pressure in the water flow. The total pressure to be detected for speed is obtained by using the basic workings of the Pitot Tube which is equipped with a pressure sensor in the form of four resistors arranged in a Wheatstone Bridge pattern. The output from the sensor in the form of a small electric current is processed into a digital signal to obtain an accurate reading. In the previous experiment, it was obtained that calm water measurement data resulted in a voltage of 0.03V and 0.21V at a depth of 2 cm and 10 cm from the surface. Whereas in flowing water, the voltage is 0.04V at small currents and 0.09V at heavy currents using a current source from the hydraulic bench. Furthermore, this speed measuring instrument will be calibrated to determine the response of the tool in graphical form and will be used as a digital readout. The calibration process was carried out using a comparison tool, namely orifice and free jet flow with orifice diameter hole of 6 mm which previously obtained a velocity coefficient value of 0.879. In the next research, the total pressure measurement method is expected to obtain data about the turbulence of a flow and turbulence flow with particles (emulsion) and can detect the speed and type of velocity and turbulence in the flow within a wide range.
Prediction Model Safety Perfomance Model on The Dam Construction Project Based Bayesian Networks
Authors: Asrar M N , Adi T J W 
Published: August 2021

Abstract
Low understanding of Safety Perfomance on Dam Construction Project due to ignoring risk factors in the implementation of the construction process. Work accidents that occur in construction projects can put workers at standstill and result in low Safety Perfomance. Thefore by improving Safety Perfomance in construction projects can increase the competitiveness of contractors in the Dam Construction Industry. Therefore, it is necessary to determine the identification of relevant variables to measure Performance Safety in construction projects based on the level of risk of work accidents so that, it can achieve modern Performance Safety Management in the Dam Construction Project. This research aims to measure Safety Performance using a probabilistic approach that is able to accommodate uncertainty in the Bayesian Networks based on Dam Construction Project. By creating a Safety Performance prediction model on the Dam Construction Project. We will be able to know the safety and health performance of the work on the Dam Construction Project.
The Safety of Bengawan Solo River Embankment at Dengkeng-Pusur Segment in The Return Periods of Discharge
Authors: Sirait N D , Sobriyah  , Ikhsan C , Hadiani R 
Published: August 2021

Abstract
This study aims to assess the safety of the Bengawan Solo River embankment at Dengkeng-Pusur segment in the return periods of discharge in terms of the freeboard’s adequacy. The embankment was designed to control flood discharge of 1.240 m3/sec with a freeboard of 1.1 meters. The hydraulic analysis using Hec-Ras software from point P.1 to P.14 with a Q2 return period of discharge of 811.9 m3/sec to a Q100 return period of discharge of 1442.5 m3/sec shows that the embankment is still able to pass the flood discharge. However, based on the freeboard’s adequacy, at a Q10 return period of discharge of 1050.1 m3/sec, the freeboard on the left embankment at P.8 less than 1 meter, namely 0.98 meters. Thus, it can be concluded that the Bengawan Solo River embankment at the Dengkeng-Pusur segment is not safe starting in a Q10 return period of discharge because, at any time, the capacity of flow discharge can be exceeded by wave phenomena and backwater effects so that can be endanger the embankment. This analysis also shows that the embankment is not safe at the design flood of discharge.
Laboratory Physical Modeling of Rakuna IV Armor Block Stability and Overtopping Discharge of Patimban Port’s Rubble Mound Breakwater
Authors: Istiyanto D C , Cholishoh E , Murtiaji C , Widagdo A B , Sukmana C I , Hamid A , Wiguna E A , Marta A S D , Setiawan J , Santosa B 
Published: August 2021

Abstract
A series of 2D physical model experiment was carried out to examine the potential advantage of Rakuna IV armor block over Tetrapod blocks in term of stability, number of blocks for the same cross-section and overtopping discharge under predetermined experiment conditions. For the sea side slope armor, Rakuna IV – 2ton armor blocks perform advantageous stability in comparison to Tetrapod-2ton blocks for the case of Hmo= 1.2×Hs. For the harbor side slope armor and toe armor, rocks of 300-1000kg/pc performs high stability with very less damage, with S << 2 and S=0.11 respectively (S=2 is initial damage condition). For the crest elevation +2.5mCD, overtopping discharge over either Rakuna IV or Tetrapod armored slopes are more or less at the same amount and both are still within allowed criteria limit. For the crest elevation +2.1mCD, overtopping discharge over Rakuna IV is still within allowed criteria limit. Reduction of breakwater crest from +2.5mCD to +2.1mCD (Rakuna IV) has relatively increased overtopping discharge four times higher, but it is still within allowed criteria limit. For the present experimental design, Rakuna IV armor layer is requiring less number of fabricated blocks for the same cross-section compared to Tetrapod block.
Mapping the Problems, Stakeholders, and Potential Solutions of Solid Waste Management in a New-Emergence Tourist Area: A Case Study in Nglanggeran, Gunungsewu UNESCO Global Geopark
Authors: Nayono Suwartanti , Nayono Satoto E. 
Published: August 2021

Abstract
After being selected as a UNESCO Global Geopark in 2015 and promoted as an ecotourism area, Nglanggeran Village in the Gunungsewu area can attract as many as 300,000 visitors/year. Although tourism activities on one side bring economic benefits, on the other side they raise environmental problems. One of the problems is the increase of solid waste volume generated by the visitors. This study aimed to map the problems and investigate the stakeholders in current solid waste management in Nglanggeran. An ethnographic approach was applied in this research. Primary data was collected during the field works through participant observation, interviews with key actors, and Focus Group Discussions with stakeholders. The result reveals that the relevant stakeholders in solid waste management in this area are: the community-based tourism organization, women in the households/homestays, informal waste collectors (scavengers), and informal waste traders. The absence of formal waste management in the area and the missing link to the existing solid waste infrastructure become the main problems in this area. Integrating informal stakeholders (waste collectors and traders) as well as educating the visitors to reduce their waste become survival strategies in the short-term.
Strategic Approach in Human Resource Management at Construction Companies in Indonesia
Authors: Susilowati F , Chrishnawati Y 
Published: August 2021

Abstract
This research was carried out to take a strategic approach to Human Resources Management in Indonesia’s construction companies. This was accomplished to complement previous research with the scope of 20 large contractor companies that have handled infrastructure projects and selected randomly throughout Indonesia. Collecting data using questionnaire techniques, followed by observations and interviews, to get more information. The data obtained is processed using descriptive data analysis and plotted on a mapping diagram of HR management. Data processing is carried out using the SPSS program to test the validity and reliability findings. The research results are information related to the mapping patterns of HR management in the construction and the main factor that is the key to success in the implementation of HR management. This study’s results can be used as a reference for companies in making policies and determining the right strategies to improve the quality of their human resources to improve the company’s performance in infrastructure. It is hoped that this research can support HR management systems within the scope of industry organizations more broadly to support government programs in realizing superior human resources for the build of Indonesia’s progress.
Ultra-short-term Wind Power Prediction Model Based on VMD Decomposition and LSTM
Authors: Liu Xingdou , Zhang Li , Zhang Zhirui , Zhao Tong , Zou Liang 
Published: August 2021

Abstract
With the rising demand for environmental protection, wind energy has made considerable progress as a clean energy source. Due to the uncertainty of wind power generation, accurate forecasting of wind power is conducive to achieving stable grid-connected control of wind turbines. This paper proposes an ultra-short-term wind power forecasting model composed of variational modal decomposition (VMD) and long short-term memory (LSTM) networks. Obtain the recorded historical wind speed and historical power from the wind field data acquisition and monitoring control system (SCADA), and use VMD to decompose and reconstruct the historical wind speed of the wind field to form 5 training data sets. Using historical power, historical wind speed, and predicted wind speed as input, wind power forecasts for the next 4 hours (15 minutes apart) are made. In order to evaluate the prediction ability of the proposed model, two algorithms, LSTM and XGBoost, are used for prediction. Taking root mean square error (RMSE) and mean absolute error (MAE) as evaluation indicators, the results show that the prediction accuracy of wind power is significantly improved after VMD processing, and the performance of LSTM is better than XGBoost in the two evaluation indicators.
Voltage Assessment of High PV Penetration in Radial Power Distribution Network
Authors: Huang Kecan , Li Zepeng , Tang Wenhu , Qian Tong 
Published: August 2021

Abstract
The total photovoltaic (PV) installed capacity of China plans to increase above 56 GW by 2050 to realize the goals of carbon peak and carbon neutrality. As a result, the hosting capacity of PV in a power distribution system affects the operation performance such as the quality of voltage, power balance, stability, and frequency problems. To investigate impacts of different PV penetration levels on the voltage and feeder in a typical power distribution network, this work considers uncertainties of PV output, and a Monte Carlo-based method is employed to simulate the impacts for different PV penetration levels on a power distribution network to evaluate voltage deviation from the normalized level (0.9 to 1.1 p.u.). A typical IEEE 33-bus system is studied and the connected PVG is based on 10-min resolution historical data from California in America in 2006. Results of the studied power distribution network are showed under three different cases: underloaded, overloaded, and fully-loaded that the 33-bus system injected with a higher PV penetration causes more voltage problems on the buses as well as the main feeder utilization tends to increase when the distribution system is underloaded or overloaded.
Research on Influence Factors of Leakage and Diffusion of 5 m3 High Pressure Hydrogen Cylinder
Authors: Qiang Chen , Zhan-qing Liu , Yan-yun Liu , Qing-guo Sun , Tian-xiang Wang , Gang Lei , Su-jiang Li 
Published: August 2021

Abstract
According to the characteristics of 5m3 hydrogen cylinder in a hydrogenation station, the influence factors of high-pressure hydrogen leakage and diffusion under different leakage aperture, cylinder pressure and wind speed were studied by using the safety analysis software PHAST. The results show that the area of downstream dangerous cloud cluster and diffusion isolation area increases with the increase of leakage diameter, cylinder pressure and wind speed. The aperture has a great influence on the mass leakage rate and the distribution range of cloud clusters, while the cylinder pressure mainly affects the distribution of cloud clusters. The influence of pressure on mass leakage rate is not as obvious as the influence of aperture. The wind speed has no effect on the mass leakage rate, and has only a slight impact on the downstream cloud cluster distribution.
Porous Ni-Cr-Mo-Cu alloys fabricated by elemental powder reactive synthesis
Authors: Yang Junsheng , Li Xide , Lv Li , Liu Xiaopeng , Zou Haoran , Zhang Chuo , Xiong Lieqiang , Liu Yuzuo 
Published: August 2021

Abstract
Fabrication of porous Ni-Cr-Mo-Cu alloys is available through Ni, Cr, Mo and Cu elemental powder reactive synthesis at the sintering temperature of 1150 °C. The pore structures, including swelling behavior, open porosity, pore size and viscous permeability of the porous Ni-Cr-Mo-Cu alloys are systematically investigated. The results revealed that the parameters of pore structure firstly increased, and then decreased with the increase of the sintering temperature. When the sintering temperature rose to 1000 °C, the volume expansion, open porosity and viscous permeability of porous Ni-Cr-Mo-Cu alloys reached the peak value of 8.0%, 41.6% and 17.2 μm2, respectively. In addition, it was confirmed that the pore structure evolution was based on three stages, that is, in the low temperature section before stearic acid decomposition, the formation of pores was initiated by the volatilization of pore-forming agent and the interstitial pores of green compact; when the temperature was lower than 1083 °C, the increase of open porosity was mainly due to the Kirkendall effect caused by solid partial diffusion; while, when the temperature is within the range of 1083 ∼ 1150 °C, the shrinkage behavior at high temperature and a small amount of metal solution formed by the unreacted Cu led to decrease in pore structure parameters.
RETRACTED: Gas-foaming three-dimensional electrospun nanofiber scaffold improved three-dimensional cartilage regeneration
Authors: Jia Zihao , Liu Yang , Wang Yingying , Peng Shiyuan , Jia Peng , Zhang Wei , Tan Xiaoyan 
Published: August 2021

Abstract
Repairing cartilage defect is always an intractable problem in joint surgery field. Tissue engineering, in the industry, is universally considered as a decent solution for overcoming this challenge. Especially the three-dimensional (3D) scaffolds play a significant role in cartilage repair. Thereinto, the electrospinning has become a very attractive method for the preparation of scaffolds. In recent years. However, these scaffolds are limited in terms of their three-dimensional (3D) applications due to their two-dimensional (2D) structure and pore size which are smaller than a cartilage cellular diameter and thus limit the cellular migration in these structures. To address this issue, this study will present an promising post electrospinning approach that can transform two-dimensional scaffolds into three-dimensional scaffolds via the way of insitu gas foaming within the pores of the nanofiber membranes as the driving force. Our previous study reported that agelatin/polycaprolactone (GT:PCL) ratio of 7:3 might be suitable for the cartilage regeneration [Zheng R, et al The influence of Gelatin/PCL ratio and 3D construct shape of electrospun membranes on cartilage regeneration. Biomaterials 2014;35:152-164]. Therefore, in the present experiment, we chose the above ratio (GT:PCL = 7:3) to realize two types of scaffolds (2D and 3D scaffolds) transition via the gas-foaming technique and investigated whether the three-dimensional structure was more conducive to cartilage regeneration than 2D.The experiment results have revealed that 3D scaffolds can achieve a larger pore size, higher porosity and higher biocompatibility than 2D scaffolds. In addition, both scaffolds which were implanted with chondrocytes all had formed mature cartilage-like tissues after 8 weeks of culturing in rabbits, and the 3D scaffold formed a three-dimensional structure, whereas the 2D scaffold only formed a thin layer of cartilage. As the macroscopic and histological results showed after 12 weeks postoperation, in the 2D scaffold group, the defect was full of fibrillar connective tissue, and as shown by HE staining, obviously there is no staining with Saf-O/FG and toluidine blue on the surface of repaired site. On the contrary, in the 3D scaffold group, homogeneous and mature cartilaginous tissue were found in the defect area. The defect was filled with numerous new chondrocytes, and the histologicalstaining revealed a large amount of regenerated cartilage tissue which was perfectly integrated with normal cartilage tissue. The results distinctly indicated that the 3D scaffold led to better cartilage repair effects than the 2D scaffold. Generally speaking, the current study demonstrated that a gas-foaming three-dimensional electrospun nanofiber scaffold would be a potential platform for cartilage regeneration and might provide a potential treatment option for repairing articular cartilage defects.
GAMMA: a tool for the rapid identification, classification and annotation of translated gene matches from sequencing data
Authors: Stanton Richard A , Vlachos Nicholas , Halpin Alison Laufer 
Published: August 2021

Abstract

Motivation
Tools used to identify genes in microbial sequences using a reference database generally report matches as a percent identity, which can be difficult to interpret in cases with &lt;100% sequence identity, as changes to specific amino acids can have dramatic effects on protein function, such as when they occur in substrate binding regions or enzyme active sites, which in turn can have dramatic effects on phenotypes like antimicrobial resistance or virulence.

Results
Here, we present GAMMA, an open-source tool for Gene Allele Mutation Microbial Assessment, which uses protein coding-level identity to make gene calls from any gene database and generates a classification (e.g. mutant, truncation) and translated annotation (e.g. Y190S mutation, truncation at residue 110) for these calls. GAMMA accurately called antimicrobial resistance genes from a large set of genomes faster than three other tools. It can also be used with any gene database, as we demonstrated by identifying virulence genes in the same genome set. Because of its speed and flexibility, GAMMA can be used to rapidly find and annotate any gene matches of interest in microbial sequencing data.

Availability and implementation
GAMMA is freely available as a Bioconda package (https://bioconda.github.io/recipes/gamma/README.html) and as a command line script (https://github.com/rastanton/GAMMA).

Supplementary information
Supplementary data are available at Bioinformatics online.
Cultivating Client Initiatives in Social Work: An Interactional Exploration
Authors: Dall Tanja , Jørgensen Sabine 
Published: August 2021

Abstract
Client participation is one of the social work’s central ideals, yet several studies have illustrated the challenges around including client perspectives in decision-making and action-planning procedures in institutional settings. The present study explores how social workers can help clients form and expresses their views to influence decisions about how to proceed in their case. We use a discourse analysis methodology focused on naturally occurring interactions in meetings in which a client initiative has consequences for the decisions made. Our analysis illustrates a process where the social worker assists the client in taking the initiative to form and express their views about how to proceed in the case followed by joint exploration, adjustment and concretisation of the client’s initiative into an institutional referral. This account casts participation in conversation as more than the acceptance or implementation of clients’ ideas or requests. Rather, participation in this setting is a negotiated activity that entails supporting clients in developing thoughts and ideas about how to achieve their long-term goals within the available framework of institutional resources. The analysis offers concrete implications for practice, as the single case illustrates interactional practices involved in facilitating client participation within a welfare-to-work context.
Advanced brain ageing in Parkinson’s disease is related to disease duration and individual impairment
Authors: Eickhoff Claudia R , Hoffstaedter Felix , Caspers Julian , Reetz Kathrin , Mathys Christian , Dogan Imis , Amunts Katrin , Schnitzler Alfons , Eickhoff Simon B 
Published: August 2021

Abstract
Machine learning can reliably predict individual age from MRI data, revealing that patients with neurodegenerative disorders show an elevated biological age. A surprising gap in the literature, however, pertains to Parkinson’s disease. Here, we evaluate brain age in two cohorts of Parkinson’s patients and investigated the relationship between individual brain age and clinical characteristics. We assessed 372 patients with idiopathic Parkinson’s disease, newly diagnosed cases from the Parkinson’s Progression Marker Initiative database and a more chronic local sample, as well as age- and sex-matched healthy controls. Following morphometric preprocessing and atlas-based compression, individual brain age was predicted using a multivariate machine learning model trained on an independent, multi-site reference sample. Across cohorts, healthy controls were well predicted with a mean error of 4.4 years. In turn, Parkinson’s patients showed a significant (controlling for age, gender and site) increase in brain age of ∼3 years. While this effect was already present in the newly diagnosed sample, advanced biological age was significantly related to disease duration as well as worse cognitive and motor impairment. While biological age is increased in patients with Parkinson’s disease, the effect is at the lower end of what is found for other neurological and psychiatric disorders. We argue that this may reflect a heterochronicity between forebrain atrophy and small but behaviourally salient midbrain pathology. Finally, we point to the need to disentangle physiological ageing trajectories, lifestyle effects and core pathological changes.