nils-herrmann/clean_scirepeval huggingface dataset:
Short term predictions of multiple wind turbine power outputs based on deep neural networks with transfer learning
Year: 2020

This paper proposes a novel deep and transfer learning (DETL) framework, which enables a more efficient development of data driven wind power prediction models for a group of wind turbines. In DETL, a transfer learning scheme is developed to boost computations in modeling wind power generation processes from a data driven perspective and derive latent features for conducting power predictions. To perform the transfer learning, a new data organization scheme, which separates a batch of wind turbine datasets into a source domain and multiple target domains, is adopted. Based on the source domain, the DETL attempts to extract homogeneous characteristics of multiple wind turbine system dynamics via developing a base Auto encoder (AE) whose architecture is adaptively determined. Next, the DETL aims to specify heterogeneous characteristics among individual wind turbine system dynamics via learning target domains, which converts the base AE model into multiple customized AE models. Finally, the customized AE model representing system dynamics of each wind turbine is extended to conduct multi step wind power predictions by additionally incorporating temporal features and prediction targets. Field data collected from 50 wind turbines in commercial wind farms are utilized to verify the proposed DETL. Computational experiments validate that the DETL outperforms conventional training methods on developing a batch of prediction models with a higher prediction accuracy and faster training speed.
Synthesis and microstructure of the (Co,Cr,Fe,Mn,Ni) 3 O 4 high entropy oxide characterized by spinel structure
Year: 2018

A high entropy (Co,Cr,Fe,Mn,Ni)3O4 oxide, characterized by the Fd 3m single phase, spinel structure, was synthesized for the first time. The material was based on the combination of Co, Cr, Fe, Mn and Ni elements, well known from the other group of high entropy materials, namely high entropy alloys. The microstructure of the material was studied using SEM EDS and XRD methods, showing single phase structure. Additional structural characterization was performed with use of Raman spectroscopy, also showing in the process, the usefulness of this method for characterization of high entropy oxides.
The Effect of Work Loads on Employee Performance With Job Satisfaction As A Mediation Variable
Venue: Journal of Business Management and Economic Research
Year: 2019

The purpose of this study was to analyze and explain the mediating role of job satisfaction on the workload relationship on employee performance at PT. Amanaid. The research population was PT. Amanaid with a total sample of 40 respondents. The sampling technique is done is a saturated sample technique. The research instrument used questionnaires and analysis methods using Partial Least Square (PLS) with SmartPLS 2.0 software. The results of the study show (1) workload has a negative and significant effect on job satisfaction. (2) Negative and significant workload on employee performance. (3) Job satisfaction has a positive and significant effect on employee performance. (4) Job satisfaction is a mediating variable that has a positive and significant effect on workload and employee performance, meaning that job satisfaction has an important role in mediating workloads on employee performance. The implications of the results of this study indicate that workload is found as a major factor in improving employee performance. If the workload felt by employees is low, it can increase job satisfaction and employee performance. Suggestions on job satisfaction research are proven to mediate partially the relationship between workload on employee performance, so it is recommended to organizations to pay attention to employee workload because it can improve job satisfaction and ultimately improve employee performance. In addition, this study can also expand the research orientation within a larger organization or wider population.
Energy and Exergy analysis of solar water heating system integrated with phase change material (PCM)
Venue: 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)
Year: 2018

Recent projections anticipate that the essential energy consumption will increase by 48% in 2040. This has prompted to a need to create proficient and sustainable techniques of storing energy. Solar thermal energy can be stored in the form of latent heat by utilizing appropriate phase change materials (PCMs) which offer high heat storage capacity. An experimental study was done in Khartoum city during summer season to investigate the thermal performance of solar water heating system integrated with PCM using flat plate collector as a heat source. The PCM used was paraffin wax whose melting point is 56 degC. An energy and exergy analysis was done to assess the thermal performance of the system and fix the thermodynamic blemish in the energy system. The outcomes showed that PCM acted as smart material which can regulate the temperature of system in the required range. The outcomes indicated that the overall energy and exergy efficiencies of the system were 85% and 76% respectively. The number of entropy generated was 0.26. The results showed that PCM acted as smart regulator to keep supplying the amount of heat to the system even after the absent of heat source. PCM also could increase the exergy output and led to reduce the exergy destruction. This indicates that the PCM could improve the exergy efficiency. The overall outcomes showed that the PCM optimized the performance of solar water heater system by improve energy and exergy efficiencies.
Refactoring for Software Design Smells: Managing Technical Debt
Year: 2014

Awareness of design smells indicators of common design problems helps developers or software engineers understand mistakes made while designing, what design principles were overlooked or misapplied, and what principles need to be applied properly to address those smells through refactoring. Developers and software engineers may "know" principles and patterns, but are not aware of the "smells" that exist in their design because of wrong or mis application of principles or patterns. These smells tend to contribute heavily to technical debt further time owed to fix projects thought to be complete and need to be addressed via proper refactoring. Refactoring for Software Design Smells presents 25 structural design smells, their role in identifying design issues, and potential refactoring solutions. Organized across common areas of software design, each smell is presented with diagrams and examples illustrating the poor design practices and the problems that result, creating a catalog of nuggets of readily usable information that developers or engineers can apply in their projects. The authors distill their research and experience as consultants and trainers, providing insights that have been used to improve refactoring and reduce the time and costs of managing software projects. Along the way they recount anecdotes from actual projects on which the relevant smell helped address a design issue. Contains a comprehensive catalog of 25 structural design smells (organized around four fundamental design principles) that contribute to technical debt in software projects Presents a unique naming scheme for smells that helps understand the cause of a smell as well as points toward its potential refactoring Includes illustrative examples that showcase the poor design practices underlying a smell and the problems that result Covers pragmatic techniques for refactoring design smells to manage technical debt and to create and maintain high quality software in practice Presents insightful anecdotes and case studies drawn from the trenches of real world projects
The Effect of Capital Structure and Profitability on Firm Value with Dividend Policy as Intervening Variable
Year: 2020

One of the supporting factors for economic growth of the country is the role of manufacturing sector. The manufacturing sector grows quiet fastly and it cannot be separated from the factors that influence the firm value, which is including capital structure, profitability and dividend policy. This study aims to analyze the effect of capital structure and profitability on firm value with dividend policy as an intervening variable in manufacturing companies that listed on the Indonesia Stock Exchange (IDX) The research method that used in this study is path analysis to analyze some research variables with direct and indirect effect. Population of this study are all manufacturing companies that listed on the Indonesia Stock Exchange (IDX) for the period of 2013 2017 which have the needed variables in the study, with the sample of 20 companies that selected using purposive sampling method. The research hypothesis was tested by Partial Least Square (PLS) analysis technique which processed using the SmartPLS 3 program. The results of the study show that there is an effect of profitability on firm value and the effect of profitability on dividend policy. The results also show that there is no effect of capital structure on firm value, capital structure on dividend policy, dividend policy on firm value, capital structure on firm value through dividend policy as an intervening variable, and there is no effect of profitability on firm value with dividend policy as intervening variable.
Vacuum Compatibility of Flux Core Arc Welding (FCAW)
Year: 2010

Submitted for the DPP10 Meeting of The American Physical Society Vacuum Compatibility of Flux Core Arc Welding (FCAW) DANA AROSE, MARTIN DENAULT, STEPHAN JURCZNSKI, PPPL Typically, vacuum chambers are welded together using gas tungsten arc welding (GTAW) or gas metal arc welding (GMAW) This is demonstrated in the vacuum chamber of Princeton Plasma Physics Lab's (PPPL) National Spherical Torus Experiment (NSTX) These processes are slow and apply excess heat to the base metal, which may cause the vacuum chamber to deform beyond designed tolerance. Flux cored arc welding (FCAW) avoids these problems, but may produce an unacceptable amount of outgasing due to the flux shielding. We believe impurities due to outgasing from FCAW will not greatly exceed those found in GTAW and GMAW welding. To test this theory, samples welded together using all three welding processes will be made and baked in a residual gas analyzer (RGA) The GTAW and GMAW welds will be tested to establish a metric for permissible outgasing. By testing samples from all three processes we hope to demonstrate that FCAW does not significantly outgas, and is therefore a viable alternative to GTAW and GMAW. Results from observations will be presented. Dana Arose Princeton Plasma Physcis Lab, SULI, Cornell University Date submitted: 24 Aug 2010  1.4
Political Consequences of COVID 19 and Media Framing in South Korea
Venue: Frontiers in Public Health
Year: 2020

This study explored the Korean media's framing of COVID 19 and its impact on people's support for the government. A disaster such as a public health crisis has political consequences. COVID 19 is no exception. However, the direction of the effect is not easily determined. To properly understand this phenomenon, it is necessary to analyze how the media frames the crisis. Using Structural Topic Model, this study examines the Korean media's framing of COVID 19 and especially pays attention to international comparative framing. Based on our analysis results, we argue that expanded framing, which compared the quarantine performance of Korea and other countries, induced a positive change in people's attitudes toward the government, leading to a major political victory for the ruling party in the legislative election. Our research not only identifies the impact of international comparative framing on government support but also contributes to the development of methods for measuring media framing utilizing topic modeling methods.
Epigenetic Link Between Statin Therapy and Type 2 Diabetes
Venue: Diabetes Care
Year: 2020

To investigate the role of epigenetics in statins' diabetogenic effect comparing DNA methylation (DNAm) between statin users and nonusers in an epigenome wide association study in blood.  Five cohort studies' participants (n 8,270) were classified as statin users when they were on statin therapy at the time of DNAm assessment with Illumina 450K or EPIC array or noncurrent users otherwise. Associations of DNAm with various outcomes like incident type 2 diabetes, plasma glucose, insulin, and insulin resistance (HOMA of insulin resistance [HOMA IR] as well as with gene expression were investigated.  Discovery (n 6,820) and replication (n 1,450) phases associated five DNAm sites with statin use: cg17901584 (1.12 x 10 25 [DHCR24] cg10177197 (3.94 x 10 08 [DHCR24] cg06500161 (2.67 x 10 23 [ABCG1] cg27243685 (6.01 x 10 09 [ABCG1] and cg05119988 (7.26 x 10 12 [SC4MOL] Two sites were associated with at least one glycemic trait or type 2 diabetes. Higher cg06500161 methylation was associated with higher fasting glucose, insulin, HOMA IR, and type 2 diabetes (odds ratio 1.34 [95% CI 1.22, 1.47] Mediation analyses suggested that ABCG1 methylation partially mediates the effect of statins on high insulin and HOMA IR. Gene expression analyses showed that statin exposure and ABCG1 methylation were associated with ABCG1 downregulation, suggesting epigenetic regulation of ABCG1 expression. Further, outcomes insulin and HOMA IR were significantly associated with ABCG1 expression.  This study sheds light on potential mechanisms linking statins with type 2 diabetes risk, providing evidence on DNAm partially mediating statins' effects on insulin traits. Further efforts shall disentangle the molecular mechanisms through which statins may induce DNAm changes, potentially leading to ABCG1 epigenetic regulation.
Light flow model of coded aperture snapshot spectral imager
Venue: Other Conferences
Year: 2014

Coded aperture snapshot spectral imager (CASSI) based on compressed sensing can capture a three dimensional (3 D) data cube information in one snapshot without scanning, so it is a kind of novel spectral imaging technique with good prospects. In this paper, the data flow procession of two kind of CASSI were studied, which similarities and differences were depicted. The basic principle of the encoded representation of both spectral information and 2 D spatial information of a scene were presented. The numerical estimation techniques based on the compressive sensing theory were applied to reconstruct 3 D data cube.
A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
Year: 2006

The position of the inflexion point in the red edge region (680 to 780 nm) of the spectral reflectance signature, termed the red edge position (REP) is affected by biochemical and biophysical parameters and has been used as a means to estimate foliar chlorophyll or nitrogen content. In this paper, we report on a new technique for extracting the REP from hyperspectral data that aims to mitigate the discontinuity in the relationship between the REP and the nitrogen content caused by the existence of a double peak feature on the derivative spectrum. It is based on a linear extrapolation of straight lines on the far red (680 to 700 nm) and NIR (725 to 760 nm) flanks of the first derivative reflectance spectrum. The REP is then defined by the wavelength value at the intersection of the two lines. The output is a REP equation, REP c 1 c 2 m 1 m 2 where c 1 and c 2 and m 1 and m 2 represent the intercepts and slopes of the far red and NIR lines, respectively. Far red wavebands at 679.65 and 694.30 nm in combination with NIR wavebands at 732.46 and 760.41 nm or at 723.64 and 760.41 nm were identified as the optimal combinations for calculating nitrogen sensitive REPs for three spectral data sets (rye canopy, and maize leaf and mixed grass/herb leaf stack spectra) REPs extracted using this new technique (linear extrapolation method) showed high correlations with a wide range of foliar nitrogen concentrations for both narrow and wider bandwidth spectra, being comparable with results obtained using the traditional linear interpolation, polynomial and inverted Gaussian fitting techniques. In addition, the new technique is simple as is the case with the linear interpolation method, but performed better than the latter method in the case of maize leaves at different developmental stages and mixed grass/herb leaves with a low nitrogen concentration.
Simple and precise static analysis of untrusted Linux kernel extensions
Venue: PLDI
Year: 2019

Extended Berkeley Packet Filter (eBPF) is a Linux subsystem that allows safely executing untrusted user defined extensions inside the kernel. It relies on static analysis to protect the kernel against buggy and malicious extensions. As the eBPF ecosystem evolves to support more complex and diverse extensions, the limitations of its current verifier, including high rate of false positives, poor scalability, and lack of support for loops, have become a major barrier for developers. We design a static analyzer for eBPF within the framework of abstract interpretation. Our choice of abstraction is based on common patterns found in many eBPF programs. We observed that eBPF programs manipulate memory in a rather disciplined way which permits analyzing them successfully with a scalable mixture of very precise abstraction of certain bounded regions with coarser abstractions of other parts of the memory. We use the Zone domain, a simple domain that tracks differences between pairs of registers and offsets, to achieve precise and scalable analysis. We demonstrate that this abstraction is as precise in practice as more costly abstract domains like Octagon and Polyhedra. Furthermore, our evaluation, based on hundreds of real world eBPF programs, shows that the new tool generates no more false alarms than the existing Linux verifier, while it supports a wider class of programs (including programs with loops) and has better asymptotic complexity.
Exploring forward looking information in integrated reporting: A multi dimensional analysis
Year: 2018

The purpose of this paper is to investigate the effect of firm characteristics on forward looking disclosure (forward looking information (FLI) within the context of integrated reporting (IR) The study assesses the extent of FLI provided in integrated reports and empirically fills the research gap into the topics of FLI disclosed in the IR.  A manual content analysis is run to investigate the level and the topics of FLI in 282 integrated reports available in the International Integrated Reporting Council (IIRC) website. A disclosure index composition consisting of 27 information items is developed from the list of content elements comprised in the Integrated Reporting Framework (IIRC, 2013) Three hypotheses are proposed and eight models are tested within a multivariate regression analysis in order to explore the effects of three main variables (firm size, profitability and leverage) on FLI.  The study confirms that firms are reluctant to provide FLI in integrated reports. The results show that profitability and firm size have a statistically significant relationship with the level of specific topics of FLI. Conversely, leverage is found to be insignificant in explaining the extent of FLI.  To improve the reliability of findings presented in this study, several others may be conducted by inspecting more variables that may affect the extent of FLI or by increasing the number of companies included in the sample.  The results provide comprehensive insights into the current forward looking disclosure practices of early adopters in integrated reports and can be a useful evidence for preparers of it. This paper has also practical implications especially for managers and regulators (e.g. IIRC) since it encourages further efforts to promote FLI if firms want that the disclosure offered in the IR is perceived as "informative" by their significant stakeholders.  The research adds to the prior disclosure literature concerning FLI since acquired results are ambiguous. There are a very restricted number of studies that have explained the variation of FLI in the light of firm characteristics and no study has analyzed this research topic within the context of IR.
Charcoal Behaviour by Its Injection into the Modern Blast Furnace
Year: 2010

Nowadays the use of charcoal in metallurgy is intimately linked to small blast furnaces in Brazil. Due to the challenge for CO2 mitigation, interest for charcoal use as a renewable energy source is rising. In the scope of European efforts to mitigate carbon dioxide emissions in the steel industry in the post Kyoto period, the use of charcoal in cokemaking and ironmaking has been investigated. This paper presents results of an experimental study on charcoal behaviour under the blast furnace simulating conditions performed at the Department of Ferrous Metallurgy, RWTH Aachen University and at the National Centre for Metallurgical Investigations, Madrid. Conditions in the raceway and in the furnace shaft were simulated using thermo analytical, laboratory and pilot facilities. Charcoal samples were produced in two furnaces for pyrolysis from different wood types at various carbonisation conditions. Furthermore technological and ecological assessment of blast furnace process when injecting different types of charcoal was performed using a mathematical model. All the experiments and calculations were also performed with reference mineral coals for injection. Conversion efficiency of all the tested charcoals is better or comparable with coals. Change in coke rate, furnace productivity and further operation parameters when replacing pulverised coal with charcoal depends on charcoal ash content and composition.
Wing cross veins: an efficient biomechanical strategy to mitigate fatigue failure of insect cuticle
Venue: Biomechanics and modeling in mechanobiology
Year: 2017

Locust wings are able to sustain millions of cycles of mechanical loading during the lifetime of the insect. Previous studies have shown that cross veins play an important role in delaying crack propagation in the wings. Do cross veins thus also influence the fatigue behaviour of the wings? Since many important fatigue parameters are not experimentally accessible in a small biological sample, here we use the finite element (FE) method to address this question numerically. Our FE model combines a linear elastic material model, a direct cyclic approach and the Paris law and shows results which are in very good agreement with previously reported experimental data. The obtained results of our study show that cross veins indeed enhance the durability of the wings by temporarily stopping cracks. The cross veins further distribute the stress over a larger area and therefore minimize stress concentrations. In addition, our work indicates that locust hind wings have an endurance limit of about 40% of the ultimate tensile strength of the wing material, which is comparable to many engineering materials. The comparison of the results of the computational study with predictions of two most commonly used fatigue failure criteria further indicates that the Goodman criterion can be used to roughly predict the failure of the insect wing. The methodological framework presented in our study could provide a basis for future research on fatigue of insect cuticle and other biological composite structures.