nils-herrmann/clean_scirepeval huggingface dataset:
Switched Motorized and Functional Electrical Stimulation Cycling Controllers for Power Tracking
Venue: 2019 IEEE 58th Conference on Decision and Control (CDC)
Year: 2019

Motorized functional electrical stimulation (FES) induced cycling is a rehabilitation technique, where lower limb muscles are artificially activated and an electric motor provides assistance to achieve cadence (speed) and torque tracking objectives. In this paper, cadence and torque controllers are designed based on a cycle rider model with switched muscle and motor inputs computed based on state dependent switching. Cadence tracking is accomplished by switching across lower limb muscles (within the rider's kinematic efficient regions of the crank cycle) and an electric motor (within the rider's inefficient regions of the crank cycle) The position and cadence reference trajectories are generated by a target impedance model yielding bounded trajectories. A robust sliding mode torque controller is designed for the electric motor to track a desired interaction torque, when the muscles are stimulated within the kinematic efficient muscle regions. A passivity based analysis is developed to ensure stability of the closed loop torque subsystem and a Lyapunov based stability analysis ensures exponential cadence tracking.
Modeling optimization of renewable hydrogen production from biomass via anaerobic digestion dry reformation
Year: 2020

There is a growing interest in the usage of hydrogen as an environmentally cleaner form of energy for end users. However, hydrogen does not occur naturally and needs to be produced through energy intensive processes, such as steam reformation. In order to be truly renewable, hydrogen must be produced through processes that do not lead to direct or indirect carbon dioxide emissions. Dry reformation of methane is a route that consumes carbon dioxide to produce hydrogen. This work describes the production of hydrogen from biomass via anaerobic digestion of waste biomass and dry reformation of biogas. This process consumes carbon dioxide instead of releasing it and uses only renewable feed materials for hydrogen production. An end to end simulation of this process is developed primarily using Aspen HYSYS(r) and consists of steady state models for anaerobic digestion of biomass, dry reformation of biogas in a fixed bed catalytic reactor containing Ni Co/Al2O3 catalyst, and a custom model for hydrogen separation using a hollow fibre membrane separator. A mixture process variable design is used to simultaneously optimize feed composition and process conditions for the process. It is identified that if biogas containing 52 mol% methane, 38 mol% carbon dioxide, and 10 mol% water (or steam) is used for hydrogen production by dry reformation at a temperature of 837.5 degC and a pressure of 101.3 kPa; optimal values of 89.9% methane conversion, 99.99% carbon dioxide conversion and hydrogen selectivity 1.21 can be obtained.
Building Scholarly Knowledge Bases with Crowdsourcing and Text Mining
Venue: EEKE@JCDL
Year: 2020

For centuries, scholarly knowledge has been buried in documents. While articles are great to convey the story of scientific work to peers, they make it hard for machines to process scholarly knowledge. The recent proliferation of the scholarly literature and the increasing inability of researchers to digest, reproduce, reuse its content are constant reminders that we urgently need a transformative digitalization of the scholarly literature. Building on the Open Research Knowledge Graph (http:/orkg.org) as a concrete research infrastructure, in this talk we present how using crowdsourcing and text mining humans and machines can collaboratively build scholarly knowledge bases, i.e. systems that acquire, curate and publish data, information and knowledge published in the scholarly literature in structured and semantic form. We discuss some key challenges that human and technical infrastructures face as well as the possibilities scholarly knowledge bases enable. EEKE 2020 Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents 7 Copyright 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
SERVICE BLUEPRINT SEBAGAI SARANA PENUNJANG LOYALITAS CUSTOMER
Year: 2018

Penelitian ini bertujuan untuk mengetahui bagaimana sebuah pelayanan dapat dikatakan mampu memberikan kepuasan bagi pelanggan, hingga menciptakan loyalitas pelanggan. Hotel Crystal Kuta dengan konsep comfortable stay and ambience of Kuta, selain memberikan hasil pelayanan yang prima, juga memberikan Kenyamanan, keamanan, dalam setiap pelayanannya serta keramahan dan privasi bagi pelanggannya. Service Blueprint diangkat sebagai salah satu patokan untuk memberikan guidance terhadap alur pelayanan. Kesan pertama terhadap sebuah jasa terjadi ketika service berlangsung harus lebih diperhatikan dikarenakan akan memunculkan perspektif pelanggan, seperti bagaimana pelanggan mendapatkan pelayanan, solusi yang tepat akan permasalahannya, kemudahan memperoleh fasilitas atau yang biasa dikenal dengan istilah moment of truth. Adanya Service Blueprint disini bertujuan untuk memahami praktek pelayanan dari sisi kacamata pelanggan, serta untuk memperkuat kontribusi dari masing masing bagian dalam menjalankan perannya terhadap pelayanan. Penelitian ini adalah penelitian kualitatif dengan metode studi kasus dilakukan pada suatu kesatuan sistem yang berupa suatu kegiatan sekelompok individu yang ada pada keadaan atau kondisi pelayanan.
ISREA: An Efficient Peak Preserving Baseline Correction Algorithm for Raman Spectra
Venue: Applied spectroscopy
Year: 2020

A critical step in Raman spectroscopy is baseline correction. This procedure eliminates the background signals generated by residual Rayleigh scattering or fluorescence. Baseline correction procedures relying on asymmetric loss functions have been employed recently. They operate with a reduced penalty on positive spectral deviations that essentially push down the baseline estimates from invading Raman peak areas. However, their coupling with polynomial fitting may not be suitable over the whole spectral domain and can yield inconsistent baselines. Their requirement of the specification of a threshold and the non convexity of the corresponding objective function further complicates the computation. Learning from their pros and cons, we have developed a novel baseline correction procedure called the iterative smoothing splines with root error adjustment (ISREA) that has three distinct advantages. First, ISREA uses smoothing splines to estimate the baseline that are more flexible than polynomials and capable of capturing complicated trends over the whole spectral domain. Second, ISREA mimics the asymmetric square root loss and removes the need of a threshold. Finally, ISREA avoids the direct optimization of a non convex loss function by iteratively updating prediction errors and refitting baselines. Through our extensive numerical experiments on a wide variety of spectra including simulated spectra, mineral spectra, and dialysate spectra, we show that ISREA is simple, fast, and can yield consistent and accurate baselines that preserve all the meaningful Raman peaks.
QDVGDD: Query Driven Virtual Grid based Data Dissemination for wireless sensor networks using single mobile sink
Venue: Wirel. Networks
Year: 2019

In wireless sensor networks, efficient resource management is a major concern for the battery operated sensor nodes. Data collection using mobile sink(s) is considered as a good strategy to prolong network lifetime and improve network coverage. Most of the existing mobile sink based data collection schemes operate in event driven or periodic sensing modes. There are several application environments, which dictate query driven data collection using a mobile sink e.g. a mobile sink might require reinforced data reporting from one particular network segment compared to others. In this regard, the existing query driven data collection schemes either impose too many constraints on network operation or poorly perform when delivering the requested data to a mobile sink with variable speed. In this paper we propose Query Driven Virtual Grid based Data Dissemination (QDVGDD) scheme that aims to improve data delivery performance to a mobile sink. The proposed scheme makes use of a virtual infrastructure thereby causing minimal network control overheads while delivering the requested data with high quality of service to the mobile sink. We carried out extensive simulation works in NS 2.35 to evaluate the performance of our QDVGDD at different sink's speeds and network sizes. Simulation results reveal improved performance of QDVGDD in terms of data delivery latency, data delivery ratio, average energy consumption, and estimated network traffic as compared to other state of the art.
Untangling the trust control nexus in international buyer supplier exchange relationships: An investigation of the changing world regarding relationship length
Year: 2017

Control and trust are the primary governance mechanisms buying organizations rely upon to organize and maintain their collaborative exchange relationships with foreign suppliers. But the question of how control and trust interrelate and should be pursued seems entangled and practical advice remains largely elusive. Based on empirical data on 212 recently and long established buyer supplier exchange relationships in the textile industry, we test the relationship between three practices of interorganizational control (output, process, and normative controls) two dimensions of interorganizational trust (competence and goodwill trust) and relationship performance. Using structural equation modelling, we demonstrate the value of controls for building and validating trust to depend as much on the specific control practice deployed and dimension of trust observed, as on the temporal stage of the exchange relationship. Moreover, we reveal distinct performance effects of the different control practices and dimensions of trust. Herewith, this study allows for a comprehensive understanding of the trust control nexus in collaborative exchange relationships between buyers and their foreign suppliers. Addressing managers, we reveal how normative controls can be used to build trust and promote performance at the start of the relationship, whereas output controls need time to reach their full potential. Process controls, in turn, are found to have adverse effects.
Application of Super Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT
Venue: Journal of Digital Imaging
Year: 2017

In this study, the super resolution convolutional neural network (SRCNN) scheme, which is the emerging deep learning based super resolution method for enhancing image resolution in chest CT images, was applied and evaluated using the post processing approach. For evaluation, 89 chest CT cases were sampled from The Cancer Imaging Archive. The 89 CT cases were divided randomly into 45 training cases and 44 external test cases. The SRCNN was trained using the training dataset. With the trained SRCNN, a high resolution image was reconstructed from a low resolution image, which was down sampled from an original test image. For quantitative evaluation, two image quality metrics were measured and compared to those of the conventional linear interpolation methods. The image restoration quality of the SRCNN scheme was significantly higher than that of the linear interpolation methods (p 0.001 or p 0.05) The high resolution image reconstructed by the SRCNN scheme was highly restored and comparable to the original reference image, in particular, for a x2 magnification. These results indicate that the SRCNN scheme significantly outperforms the linear interpolation methods for enhancing image resolution in chest CT images. The results also suggest that SRCNN may become a potential solution for generating high resolution CT images from standard CT images.
Coupled Multipath BBR (C MPBBR) A Efficient Congestion Control Algorithm for Multipath TCP
Venue: IEEE Access
Year: 2020

Multipath transmission control protocol (MPTCP) is a promising transport layer protocol that enables a device to utilize multiple communication interfaces simultaneously, thereby achieving high throughput. A congestion control algorithm (CCA) employed in MPTCP constitutes a key part that controls the data flow through different subflows (SFs) There are two fundamental challenges associated with MPTCP CCAs. First, MPTCP flows should have an advantage over single path flows; second, MPTCP flows should be fair, indicating that SFs sharing a common bottleneck should occupy a capacity fairly close to that occupied by a single path flow. Several MPTCP CCAs have been developed; however, they have failed to satisfy these challenges in all scenarios. Recently, Google has introduced the bottleneck bandwidth and round trip time (BBR) a new CCA for single path TCP, achieving high throughput with minimum delay by employing a network model. In the present paper, we propose a novel MPTCP CCA based on BBR named coupled multipath BBR (C MPBBR) that satisfies the fundamental challenges by exploiting the concept of network modeling in BBR. C MPBBR addresses the first challenge by closing the low bandwidth SFs by tracking the delivery rate and bottleneck bandwidth (BtlBW) Then, it satisfies the second challenge through identifying those SFs that share a common bottleneck and dividing the BtlBW share corresponding to a SF among them. We implemented C MPBBR in the Linux kernel, tested it on a wide range of scenarios by the Mininet emulation experiments, and the real world Internet, and confirmed that the proposed C MPBBR outperforms the existing MPTCP CCAs in terms of successfully satisfying the fundamental challenges by ensuring both throughput and fairness.
A data centric executable modeling approach for system of systems architecture
Venue: 2012 7th International Conference on System of Systems Engineering (SoSE)
Year: 2012

A data centric executable modeling approach is proposed for system of Systems (SoS) architecture by taking full advantage of the Department of Defense Architecture Framework (DoDAF) Meta model (DM2) which provides more flexibility and adaptability to the automated construction of executable models directly from the architectural data. Firstly, the architectural data meta model is established to guide architectural data modeling of core data elements and associations in DM2 as the common and consistent data dictionary for architecture modeling, and the executable formalism meta model is designed to formally define executable models. Then, the mapping rules between both meta models are defined as the common transformation specification regardless of what modeling language or methodology is employed in developing architectural descriptions. Finally, XML (eXtensible Markup Language) technologies are discussed to facilitate the automated transformation of executable models from architectural instance data. Colored Petri Net (CPN) is used as an illustrative executable formalism in the discussion of the proposed approach.
Ovarian torsion in pediatric and adolescent patients: A systematic review.
Venue: Journal of pediatric surgery
Year: 2018

Ovarian torsion in pediatric patients is a rare event and is primarily managed by pediatric general surgeons. Torsion can be treated with detorsion of the ovary or oopherectomy. Oopherectomy is the most common procedure performed by pediatric general surgeons for ovarian torsion. The purpose of this systematic review by the American Pediatric Surgical Association Outcomes and Evidence Based Practice Committee was to examine evidence from the medical literature and provide recommendations regarding the optimal treatment of ovarian torsion.  Using PRISMA guidelines, six questions were addressed by searching Medline, Cochrane, Embase Central and National clearing house databases using relevant search terms. Risks of ovarian detorsion including thromboembolism and malignancy, indications for oophoropexy, benefits of detorsion including recovery of function and subsequent fertility, and recommended surveillance after detorsion were evaluated. Consensus recommendations were derived for each question based on the best available evidence.  Ninety six studies were included. Risks of ovarian detorsion such as thromboembolism and malignancy were reviewed, demonstrating minimal evidence for unknowingly leaving a malignancy behind in the salvaged ovary and no evidence in the literature of thromboembolic events after detorsion of a torsed ovary. There is no clear evidence supporting the benefit of oophoropexy after a single episode of ovarian torsion. The gross appearance of the ovary does not correlate with long term ovarian viability or function. Pregnancies have occurred in patients after detorsion of an ovary both spontaneously and with harvested oocytes from previously torsed ovaries. The consensus recommendation for imaging surveillance following ovarian detorsion is an ultrasound at 3months postprocedure but sooner if there is a concern for malignancy.  There appears to be overwhelming evidence supporting ovarian detorsion rather than oopherectomy for the management of ovarian torsion in pediatric patients. Ovarian salvage is safe and is the preferred treatment for ovarian torsion. Most salvaged ovaries will maintain viability after detorsion. .
Fuzzy Rough Set Based Technique for User Specific Information Retrieval: A Case Study on Wikipedia Data
Venue: Int. J. Rough Sets Data Anal.
Year: 2018

Informationretrievaliswidelyusedduetoextremelylargevolumeoftextandimagedataavailable onthewebandconsequently,efficientretrievalisrequired.Textinformationretrievalisabranch ofinformationretrievalwhichdealswithtextdocuments.Anotherkeyfactoristheconcernfora retrievalengine,oftenreferredtoasuser specificinformationretrieval,whichworksaccordingto aspecificuser.Thisarticleperformsapreliminaryinvestigationoftheproposedfuzzyroughsetsbasedmodelforuser specifictextinformationretrieval.Themodelimprovesonthecomputational timerequiredtocomputetheapproximationscomparedtoclassicalfuzzyroughsetmodelbyusing Wikipediaas the informationsource.The techniquealso improveson theaccuracyofclustering obtainedforuserspecifiedclasses.  Fuzzy Rough Sets, Fuzzy Sets, Information Retrieval, Lower Approximation, Natural Language Processing, Rough Sets, Soft Computing, Text Processing, Upper Approximation
Gauss law, minimal coupling and fermionic PEPS for lattice gauge theories
Year: 2018

In these lecture notes, we review some recent works on Hamiltonian lattice gauge theories, that involve, in particular, tensor network methods. The results reviewed here are tailored together in a slightly different way from the one used in the contexts where they were first introduced, by looking at the Gauss law from two different points of view: for the gauge field it is a differential equation, while from the matter point of view, on the other hand, it is a simple, explicit algebraic equation. We will review and discuss what these two points of view allow and do not allow us to do, in terms of unitarily gauging a pure matter theory and eliminating the matter from a gauge theory, and relate that to the construction of PEPS (Projected Entangled Pair States) for lattice gauge theories.
Gender, Religion, and New Media: Attitudes and Behaviors Related to the Internet Among Ultra Orthodox Women Employed in Computerized Environments
Year: 2011

We analyze patterns of rejection and adoption of new technology in a closed and conservative community through the study of ultra Orthodox Jewish women working in computerized environments, and their perceptions and uses of the Internet. These women stand in the intersection between orthodoxy and modernity. Their workplaces are populated by ultra Orthodox women and adjusted for their needs, but the companies that employ them are (mostly) owned by seculars, they work with computers, and (occasionally) the workplaces even have Internet access. We study if and how the conceptions of new technologies among women in a conservative community serve to demarcate, construct and reassure the borders of the community. The research questions are: How do these ultra Orthodox women perceive the place of the Internet within their community and personal lives? With whom do they create online ties? And are there correlations between socioeconomic and sociodemographic variables and women's perceptions of the place and functioning of the Internet in the ultra Orthodox community and their lives?
VA/DoD Clinical Practice Guideline: Diagnosis and Treatment of Low Back Pain
Venue: Journal of General Internal Medicine
Year: 2019

DescriptionIn September 2017, the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) approved the joint Clinical Practice Guideline (CPG) for Diagnosis and Management of Low Back Pain. This CPG was intended to provide healthcare providers a framework by which to evaluate, treat, and manage patients with low back pain (LBP).MethodsThe VA/DoD Evidence Based Practice Work Group convened a joint VA/DoD guideline development effort that included a multidisciplinary panel of practicing clinician stakeholders and conformed to the Institute of Medicine's tenets for trustworthy clinical practice guidelines. The guideline panel developed key questions in collaboration with the ECRI Institute, which systematically searched and evaluated the literature through September 2016, developed an algorithm, and rated recommendations by using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. A patient focus group was also convened to ensure patient values and perspectives were considered when formulating preferences and shared decision making in the guideline.RecommendationsThe VA/DOD LBP CPG provides evidence based recommendations for the diagnostic approach, education and self care, non pharmacologic and non invasive therapy, pharmacologic therapy, dietary supplements, non surgical invasive therapy, and team approach to treatment of low back pain.
Determinants of international tourism demand: Evidence from Australian states and territories
Year: 2019

This article explores whether the determinants of international tourism demand differ by states and territories in Australia. This is the first attempt at econometric modelling of international tourism demand in the states and territories of Australia. A demand model is specified where international visits to states and territories is a function of world income, state level transportation costs, stock of foreign born residents, the Australian real exchange rate and the price levels of international and domestic substitutes. Panel and time series econometric techniques are employed to test the model variables for stationarity, cointegration and direction of causality. Panel and time series cointegration tests show that the model is cointegrated. The causality analysis indicates that all explanatory variables Granger cause international visits to the Australian states and territories. Further, we show that the impacts of the determinants of international tourism vary by states and territories. The results underscore the importance of targeted policymaking that takes into account the economic and social structure of each state and territory instead of designing tourism policies on the basis of one size fits all approach.