nils-herrmann/clean_scirepeval huggingface dataset:
Damping Low Frequency Oscillations Through VSC HVdc Stations Operated as Virtual Synchronous Machines
Venue: IEEE Transactions on Power Electronics
Year: 2019

With proper control methods, grid connected power converters can mimic the dynamics of conventional synchronous generators (SGs) i.e. acting as virtual synchronous machines (VSMs) for improving the grid frequency stability and ensuring a smooth transition toward converter dominated power systems. However, the integration of VSMs will inevitably influence the low frequency oscillations (LFOs) in power grids which are usually caused by the interactions among SGs. This influence should be of concern especially when the VSM's capacity is similar to that of SG, e.g. operating voltage source converter (VSC) HVdc stations as VSMs. This paper investigates how the VSM affects LFOs in power systems by analyzing its equivalent damping torque. We show that with proper control design, VSMs can provide considerable positive damping torque to effectively damp LFOs in power grids. Particularly, using the damping torque analysis, the influences of virtual impedance and grid frequency detector (i.e. phase locked loop) are elaborately studied so as to provide design guidelines for better damping LFOs. Finally, case studies of a two area test system with integration of a VSM based VSC HVdc station verify the validity of the analysis.
Factors That Influence Changes to Existing Chronic Pain Management Plans
Venue: The Journal of the American Board of Family Medicine
Year: 2020

The objective of this qualitative study is to better understand primary care clinician decision making for managing chronic pain. Specifically, we focus on the factors that influence changes to existing chronic pain management plans. Limitations in guidelines and training leave clinicians to use their own judgment and experience in managing the complexities associated with treating patients with chronic pain. This study provides insight into those judgments based on clinicians' first person accounts. Insights gleaned from this study could inspire innovations aimed at supporting primary care clinicians (PCCs) in managing chronic pain.  We conducted 89 interviews with PCCs to obtain their first person perspective of the factors that influenced changes in treatment plans for their patients. Interview transcripts were analyzed thematically by a multidisciplinary team of clinicians, cognitive scientists, and public health researchers.  Seven themes emerged through our analysis of factors that influenced a change in chronic pain management: 1) change in patient condition; 2) outcomes related to treatment; 3) nonadherent patient behavior; 4) insurance constraints; 5) change in guidelines, laws, or policies; 6) approaches to new patients; and 7) specialist recommendations.  Our analysis sheds light on the factors that lead PCCs to change treatment plans for patients with chronic pain. An understanding of these factors can inform the types of innovations needed to support PCCs in providing chronic pain care. We highlight key insights from our analysis and offer ideas for potential practice innovations.
Comparative Analysis of Advanced Encryption Standard, Blowfish and Rivest Cipher 4 Algorithms
Year: 2014

Cryptography is one of the main categories of computer security that converts information from its normal form into an unreadable form. The two main characteristics that identify and differentiate one encryption algorithm from another are its ability to secure the protected data against attacks and its speed and efficiency in doing so.Cryptography is required to transmit confidential information over the network. It is also demanding in wide range of applications which includes mobile and networking applications. Cryptographic algorithms play a vital role in providing the data security against malicious attacks. But on the other hand, they consume significant amount of computing resources like CPU time, memory, encryption time etc. Normally, symmetric key algorithms are preferred over asymmetric key algorithms as they are very fast in nature. Symmetric algorithms are classified as block cipher and stream ciphers algorithms. In this research project, I comparedthe AES and Blowfish algorithms with different modes of operation (ECB, CBC, and CFB) and RC4 algorithm (stream cipher) in terms encryption time, decryption time, memory utilization and throughput at different settings likevariable key size and variable data packet size.A stimulation program is developed using PHP and JavaScript scripting languages. The program encrypts and decrypts different file sizes ranging from 1MB to 50MB. Firstly the user input 32 characters of key and 16 characters of Initialization Vector that would be used by the algorithm to encrypt and decrypt the message. After the key and Initialization vector are input, the user then use the browse button to select a file which has a size ranging from 1MB to 50 MB on the hard drive. A prompt is displayed if the size of the file exceeds the specified range. The submit button is used by the user to initiate the process. A notification is displayed on the screen while the process is being executed. During the encryption and decryption process, the software automatically creates a file which copies the contents of the files being encrypted and decrypted into a folder on the user's hard drive. The stimulator analyzes and produces graphical representation of the results to the user.
INVESTIGATING APPLICATION OF HONEYCOMB ABRADABLE LINING IN AERO ENGINE TURBINE STAGE
Year: 2017

Modern aero engines require increasing levels of performance and working efficiency. One of the ways this is achieved, is by increasing combustion temperatures in order to exploit leaner fuel combustion regimes. This in turn leads to hotter turbine temperatures, and an increased performance demand on turbine sealing systems. In the turbine, the sealing system comprises of a shroud containing a fin, which is mounted onto the end of the blades, along with an abradable material used to coat the turbine casing. The fins on the end of each blade in concomitance form a ring, which incurs into the abradable lining, producing a seal and thus minimizing axial gas flow  A typical abradable system presently used in the hot section of the turbine, comprises of a nickel based superalloy honeycomb structure, combined with a nickel aluminide filler. However, this system has been found to harden as a consequence of thermal ageing leading to wear of the sealing fins, and gas flow leakage. In this study, the performance of the aforementioned sealing system is investigated with a range of different fillers, each containing differing ratios of nickel and aluminium. Tests are conducted on a high speed abradable test rig, where the incursion conditions between a single sealing fin and the abradable are replicated. Tests are undertaken on both as manufactured and aged test samples, with thermal ageing performed at 1000degC for 100 hours. Sealing fins manufactured from Inconel 718 were used for all tests, with incursions performed at the same rate and to the same depth in each case. During the tests, stroboscopic imaging was used to monitor wear of the fin, along with a dynomometer and pyrometer to measure force and temperature respectively. Post test, the worn grooves on the abradable samples and the fins are imaged, and the abradable sectioned and analysed using optical microscopy. Elemental analysis is also undertaken to determine material transfer between the abradable and fin, and vice versa. The ratio of aluminium to nickel in the filler was found to have a significant impact on the wear behaviour of the sealing system. In the case of a stoichiometric mix of aluminium and nickel in the filler, the un aged abradable was difficult to cut, resulting in high levels of fin wear. This led to cyclic peaks in force and temperature, culminating in the removal of compacted abradable material with accompanying sparking. A similar mechanism was observed in the case of the aluminium rich filler, whereas in the nickel rich case, good cutting with negligible fin wear was recorded. At the aged condition, this trend was reversed, with the aluminium rich filler minimising fin wear, due to its inherent brittleness leading to good fracture and dislocation on contact with the fin.
Bacterial cellulose/graphene oxide nanocomposite as a novel drug delivery system
Year: 2017

Graphene based nanocarriers not only possess large specific surface area but also prevent drugs from premature release outside the target cells. However, agglomeration in aqueous solution is a critical challenge. In this work, graphene oxide (GO) was uniformly embedded into the three dimensional (3D) porous network of bacterial cellulose (BC) to form a novel BC/GO nanocomposite drug nanocarrier. For the first time, ibuprofen (IBU) was loaded onto the BC/GO nanocomposites. Scanning electron microscope (SEM) X ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR) reveal the successful drug loading onto BC/GO nanocomposites. In vitro drug release studies indicate that the drug release of IBU@BC/GO follows a non Fickian diffusion mechanism. Another important feature of this BC/GO nanocarrier is its better cell viability in comparison to BC. It is believed that this new nanocarrier is a potential choice for drug delivery system.
Predicting fuel consumption for commercial buildings with machine learning algorithms
Year: 2017

This paper presents a modeling framework that uses machine learning algorithms to make long term, i.e. one year ahead predictions, of fuel consumption in multiple types of commercial prototype buildings at one hour resolutions. Weather and schedule variables were used as model inputs, and the hourly fuel consumption simulated with EnergyPlus provided target values. The data was partitioned on a monthly basis, and a feature selection method was incorporated as part of the model to select the best subset of input variables for a given month. Neural networks (NN) and Gaussian process (GP) regression were shown to perform better than multivariate linear regression and ridge regression, and as such, were included as part of the model. The modeling framework was applied to make predictions about fuel consumption in a small office, supermarket, and restaurant in multiple climate zone. It was shown that for all climate zones for all months, the maximum errors pertaining to one year ahead forecasts of fuel consumption made by the ML model are 15.7 MJ (14,880 Btu) 284.3 MJ (268,516 Btu) and 74.0 MJ (70,138 Btu) respectively. The methods and results from this study can be used to estimate on site fuel consumption and emissions from buildings, thereby enabling improved decisions pertaining to building efficiency with respect to fuel use.
Sewer Rats in Teaching Action: An explorative field study on students' perception of a game based learning app in graduate engineering education
Venue: ArXiv
Year: 2018

Game based technologies and mobile learning aids open up many opportunities for learners; however, evidence based decisions on their appropriate use are necessary. This explorative study (N 100) examines the role of game elements in university education using a game based learning app for mobile devices. The educational goal of the app is to support students in the field of engineering to memorize factual knowledge. The study investigates how the game based app affects learners' motivation. It analyses the perceived impact and appeal as well as the game elements as an incentive in learners' perception. To realize this aim, the study combines structured methods like questionnaires with semi structured methods like thinking aloud, game diaries, and interviews. The results indicate that flexible tem poral and spatial use of the app was an important factor of learners' motivation. The app allowed more spontaneous involvement with the subject matter and the learners took advantage of an improved attitude toward the subject matter. However, only a low impact on intrinsic motivation could be observed. We discuss reasons and present practical implications.
Facilitating advancements in holographic techniques with dedicated high power laser combiners
Venue: OPTO
Year: 2021

Laser based holographic techniques continue to grow into commercial markets, used in the production of holographic optical elements (HOEs) for image projection in virtual reality (VR) and augmented reality (AR) devices as well as in white light analog holography for the generation of ultra realistic full color replicas of three dimensional objects such as museum artefacts. These rapidly developing holographic techniques and holography based technologies require reliable light sources at multiple wavelengths simultaneously, often in the same optical path. The individual laser performance requirements for holography applications are met by commercially available, extremely reliable, single frequency or single longitudinal mode (SLM) lasers in the visible spectrum with long coherence length, excellent wavelength stability and accuracy, and high, stable output powers. However, the optical alignment and beam combining necessary in multi wavelength systems can be technically challenging and time consuming. Elaborate assembly and constant maintenance can divert valuable resources away from the more fundamental work necessary to improve quality of the holograms and HOEs. The aim is to develop a laser combiner that provides the necessary performance per laser line with robust beam alignment stability during exposure, and repeatability between exposures, which requires strict control of opto mechanical component design and thermal management. The performance of a laser combiner, which integrates up to four laser lines with up to 1.5 W of optical power per laser, collinearly aligned with high precision position overlap, angular overlap, and beam pointing stability, and repeatability over long periods of time, is evaluated in this paper. This laser combiner includes the laser sources, control electronics, and beam combining optics and is designed to be easily transportable, providing the ideal combined laser solution to facilitate advancements of holographic techniques.
Flexible Work Arrangements and Organizational Performance The Difference between Employee and Employer Driven Practices
Venue: Drustvena istrazivanja
Year: 2019

Flexible work arrangements (FWAs) enable flexibility in the work design of employees and, consequently, can improve work life balance and enhance organizational performance. Based on the disparate nature of previous findings and social exchange theory, we defined the two research questions with an aim to explore the impact of FWAs on organizational performance measured by both financial and non financial indicators, while taking into account the employer versus employee driven perspective of FWA application. The data on 12 different FWA practices was collected in 171 large sized Croatian organizations by a questionnaire survey using CRANET methodology. Our findings suggest that organizational performance was higher in the employee driven group of FWA practices. On the other hand, several employer driven practices were found to be significantly, but negatively related to organizational performance. The main contribution of the paper is revealing the importance of work life balance arrangements in achieving success and competitive advantage
The derivatization and antioxidant activities of yeast mannan.
Venue: International journal of biological macromolecules
Year: 2018

The alkaline mannan (M) was extracted from yeast cell walls, and the best extraction condition was: 100degC, 2h, 1% NaOH, solid liquid ratio of 10:1. The purity of mannan was 96.15% Its five derivatives were obtained by chemical modification methods, and they were: phosphorylated mannan (P M) sulfated mannan (S M) carboxymethylated mannan (CM M) carboxymethylated phosphorylated mannan (CMP M) and carboxymethylated sulfated mannan (CMS M) The phosphate substitution degree of P M and CMP M was 0.2 and 0.1, respectively. The sulfate substitution degree of S M and CMS M was 0.67 and 0.65, respectively. The carboxymethyl substitution degree of CM M, CMP M and CMS M were 1.11, 1.17 and 0.25, respectively. It indicated that the hydroxyl radical scavenging capacities of P M and CMP M were 15% higher than that of M. The anti lipid peroxidation capacity of all derivatives increased than that of M, especially for CMP M, its scavenging effect was 25% higher.
Visualization of Graphical Modeling Framework as Recovery Process for Reverse Engineering in Object Oriented Design
Year: 2012

For measuring software quality, majority of approaches focus on metric calculation based on code, which comes very late in the software development life cycle. The proposed approach presents a forward as well as reverse engineering approach that will detect software design patterns in UML model for forward engineering and from Java source code as a part of reverse engineering. Our approach uses structural, behavioral and semantic analysis. We introduce behavioral and semantic analysis that removes false positives from our structural analysis results. We are interested in assessing the quality of the software design by checking whether it conforms to design pattern and calculating package software metrics. Based on these two parameters the quality of the software system can be analyzed. We provide a tool that implements our approach. An XML schema of design pattern(s) which further facilitates to automate the process of design pattern identification given a class diagram with the help of a tool base. Design patterns are a proven way to build high quality software.
Is mirabegron equally as effective when used as first or second line therapy in women with overactive bladder?
Venue: International Urogynecology Journal
Year: 2016

previous studies have investigated the efficacy of mirabegron 50 mg as the first line therapy in OAB patients. Hence, the primary objective of this study was to evaluate the efficacy of mirabegron in treatment naive patients in comparison with those who had discontinued antimuscarinic therapy because of insufficient efficacy.MethodsAll consecutive women who had pure OAB symptoms (including urgency with or without urgency incontinence and frequency) for at least 3 months were considered for this study. Women were divided into two groups: women without any previous pharmacological treatment for OAB (group 1) and women with a previous history of failed antimuscarinics therapy (group 2).ResultsAt 3 month follow up, the objective results on the basis of the frequency volume chart showed a significant improvement in both groups. Furthermore, a significant reduction in the Overactive Bladder Questionnaire Short Form (OABq SF) score and in the Indevus Urgency Severity Scale (IUSS) questionnaire were reported in both groups. However, the improvement in objective and subjective outcomes was superior in group 1 to that in group 2.ConclusionsMirabegron is efficacious in improving OAB symptoms in both naive patients and those who discontinued primary antimuscarinic therapy; however, its efficacy is superior when prescribed as first line therapy.
Crystal chemistry of nephelines from ijolites and nepheline rich pegmatites: influence of composition and genesis on the crystal structure investigated by X ray diffraction
Year: 2011

Ten nepheline single crystals from five different localities representing rocks from nepheline syenite pegmatites to urtite, ijolite and cancrinite ijolite were investigated chemically and structurally. The chemical compositions were determined by electron microprobe, whereas the crystal structures were refined against X ray diffraction data to R values of 0.022 0.031. In all cases the crystal structures conformed to space group P63, but at the same time all crystals produced some satellite reflections testifying to the modulation effects in their structure. This work confirms the presence of satellite reflections as a universal property of nepheline and resolves some controversy about this issue present in older works. The samples show a range of compositions with variable excess of Si over Al combined with vacancies in the alkaline sites. Vacancies are present exclusively in the symmetric ditrigonal channels occupied preferentially by K atoms in natural nepheline. The influence of the variable amounts of K, Na and vacancies to the increase of volume at this site is shown to be in the order >K>Na. It has been confirmed that natural nepheline can partly depart from Loewenstein's rule and show some degree of disorder in the Si/Al distribution. Most of the samples revealed a practically full Si Al ordering, but the crystals from one of the nepheline syenite pegmatites in Langesundsfjord, Norway and from the type locality of ijolite, Iivaara, Finland, showed a disorder of 10 20% suggesting a different cooling history for these rocks.
Improving Human Text Comprehension through Semi Markov CRF based Neural Section Title Generation
Venue: NAACL
Year: 2019

Titles of short sections within long documents support readers by guiding their focus towards relevant passages and by providing anchor points that help to understand the progression of the document. The positive effects of section titles are even more pronounced when measured on readers with less developed reading abilities, for example in communities with limited labeled text resources. We, therefore, aim to develop techniques to generate section titles in low resource environments. In particular, we present an extractive pipeline for section title generation by first selecting the most salient sentence and then applying deletion based compression. Our compression approach is based on a Semi Markov Conditional Random Field that leverages unsupervised word representations such as ELMo or BERT, eliminating the need for a complex encoder decoder architecture. The results show that this approach leads to competitive performance with sequence to sequence models with high resources, while strongly outperforming it with low resources. In a human subject study across subjects with varying reading abilities, we find that our section titles improve the speed of completing comprehension tasks while retaining similar accuracy.
ANALISIS SINKRONITAS RENCANA PEMBELAJARAN SEMESTER (RPS) DENGAN RENCANA TUGAS SEMESTER MAHASISWA (RTM) DAN RENCANA EVALUASI PEMBELAJARAN (REP) DOSEN FKIP UNISRI TAHUN 2018
Year: 2019

Penelitian ini bertujuan untuk mengetahui bagaimana sinkronitas Rencana Pembelajaran Semester (RPS) dengan Rencana Tugas Semester Mahasiswa (RTM) dan Rencana Evaluasi Pembelajaran (REP) Dosen FKIP UNISRI tahun 2018. Tempat Penelitian: di FKIP Universitas Slamet Riyadi, Waktu Penelitian 1 Tahun :Tahun 2018  Dosen FKIP UNISRI, Obyek Penelitian: Analisis Sinkronitas Rencana Pembelajaran Semester (RPS) Dengan Rencana Tugas Semester Mahasiswa (RTM) Dan Rencana Evaluasi Pembelajaran (REP) Dosen Fkip Unisri Tahun 2018,Unit Analisis Perangkat Pembelajaran Dosen FKIP sejumlah 76 set, Metode Penelitian:Jenis penelitian ini adalah penelitian kualitatif, teknik pengumpulan data yang digunakan adalah Dokumentasi dan Observasi,Keabsahan Data:untuk menguji keabsahan data digunakan teknik Triangulasi Metode.dan Teknik Analisis  Set RPS,RTM dan REP. 2.Perangkat Pembelajaran yang memuat CPL,CPMK dan Sub CPMK dan Sinkron sebanyak 19 perangkat pembelajaran (25%.3.CPL tidak ada tapi CPMK dan Sub CPMK ada dan Sinkron,sebanyak 54 perangkat (71% 4.Panduan Penyusunan Kurikulum yang Digunakan ada 3 macam yakni yang menggunakan Panduan KBK Lama sebanyak 5 perangkat Panduan KPT 2014 sebanyak 56 perangkat dan Panduan KPT 2016 (terbaru) sebanyak 15 perangkat. 5.Ketidaksinkronan antara RPS, RTM, dan REP sebanyak 13 perangkat (17 6.Sinkronitas antara RPS. RTM dan REP sebanyak 54 perangkat (71%.7.Tidak ada RTM 9 perangkat (12% 8.  Ketidakberimbangan antara Tugas Individu dan Kelompok sebanyak 1 perangkat (1,3%