nils-herrmann/clean_scirepeval huggingface dataset:
Service oriented Architecture of Intelligent Environment for Historical Records Studies
Year: 2017

Nowadays, such socio technical systems as virtual research environments are increasingly employed in the studies of textual heritage. The paper presents a modular platform based on a combination of Web services that provide tools for historical records publishing and research. A promising approach is the creation of semantic networks that encompass marked up texts of records (in this case, medieval documents preserved at Latvian State Historical Archives) and corresponding meta information. The authors describe the prototype of a software system, which maps XML markup into ACE (Attempto Controlled English) statements; these statements can be automatically translated into OWL (Ontological Web Language) visualized as semantic networks, or queried by means of Web services of Attempto Project. This system is designed as an intelligent environment for collaborative research.
Intrathecal co administration of morphine and nimodipine produces higher antinociceptive effect by synergistic interaction as evident by injecting different doses of each drug in rats.
Venue: European journal of pharmacology
Year: 2007

Earlier, we reported that morphine nimodipine combination produces significantly higher antinociception after intrathecal but not after systemic administration in mice. Different doses of morphine and nimodipine (5 microg of morphine, 5 microg of nimodipine, 5 microg each of morphine and nimodipine, 10 microg of morphine, 10 microg of nimodipine, 10 microg morphine with 5 microg nimodipine and 5 microg of morphine with 10 microg of nimodipine) were now injected intrathecally in Wistar rats to further characterise this antinociceptive effect. The acute antinociceptive effect was measured by the tail flick test between 15 min to 7 h. The onset of maximum antinociception (100% MPE) was earlier (by 15 min) in nimodipine (5 microg) than in morphine (5 microg) treated group (by 30 min) Though earlier in onset, 5 microg nimodipine produced transient antinociception, which was significantly higher than saline treated controls for the initial 30 min only. Morphine (5 microg) produced significantly higher antinociception between 15 min to 3:30 h in comparison to control animals. However, co administration of both morphine and nimodipine led to significantly higher antinociception than morphine alone at 4:00 h and also between 5:00 to 6:30 h. Interestingly, the combined antinociceptive action of morphine and nimodipine was not significantly different from 10 microg of morphine, which indicated synergistic interaction. Naloxone (5 mg/kg) could reverse this antinociceptive effect of morphine nimodipine combination though it failed to reverse nimodipine (5 microg) mediated antinociception at 15 min. Increasing the dose of either morphine or nimodipine to 10 mug did not increase antinociception except between 6:30 7:00 h. No obvious side effect was noted after administration of either morphine or nimodipine or both.
The GenomeAsia 100K Project enables genetic discoveries across Asia
Venue: Nature
Year: 2019

The underrepresentation of non Europeans in human genetic studies so far has limited the diversity of individuals in genomic datasets and led to reduced medical relevance for a large proportion of the world's population. Population specific reference genome datasets as well as genome wide association studies in diverse populations are needed to address this issue. Here we describe the pilot phase of the GenomeAsia 100K Project. This includes a whole genome sequencing reference dataset from 1,739 individuals of 219 population groups and 64 countries across Asia. We catalogue genetic variation, population structure, disease associations and founder effects. We also explore the use of this dataset in imputation, to facilitate genetic studies in populations across Asia and worldwide. Using whole genome sequencing data from 1,739 individuals, the GenomeAsia 100K Project catalogues genetic variation, population structure and disease associations to facilitate genetic studies in Asian populations and increase representation in genetics studies worldwide.
Implementation of an Upper Limb Exoskeleton Robot Driven by Pneumatic Muscle Actuators for Rehabilitation
Year: 2020

Implementation of a prototype of a 4 degree of freedom (4 DOF) upper limb exoskeleton robot for rehabilitation was described in this paper. The proposed exoskeleton robot has three DOFs at the shoulder joint and one DOF at the elbow joint. The upper limb exoskeleton robot is driven by pneumatic muscle actuators (PMA) via steel cables. To implement the passive rehabilitation control, the rehabilitation trajectories expressed in the Fourier series were first planned by the curve fitting. The fuzzy sliding mode controller (FSMC) was then applied to the upper limb exoskeleton robot for rehabilitation control. Several rehabilitation scenarios were carried out to validate the designed PMA actuated exoskeleton robot.
Smart Parking System using IoT Technology
Venue: 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic ETITE)
Year: 2020

A simple and easy task such as parking is thought as a tedious and time consuming process due to mismanagement of parking system. Current parking systems involve huge manpower for management and requires user to search for parking space floor by floor. Such conventional systems utilize more power, along with user's valuable time. This paper presents a Smart Parking Energy Management solution for a structured environment such as a multi storied office parking area. The system proposes implementation of state of the art Internet of Things (IoT) technology to mold with advanced Honeywell sensors and controllers to obtain a systematic parking system for users. Unoccupied vehicle parking spaces are indicated using lamps and users are guided to an empty parking space, thus eliminating need for searching for a parking space. The occupied parking spaces are virtually stored to the cloud to be accessed by central system and direct the upcoming cars to empty spaces. The automatically controlled light illuminance helps reduce energy usage, along with lighting up the parking space to the user whilst in the parking space. The entire system being fully automatic leads to reduced manpower involved and improves illuminance aesthetics of the parking area. This paper aims at improving user's time value and convenience in a parking system.
The Adaptive Inverse Control of Nonlinear Ship Maneuvering Based on Improved Radial Basis Function Neural Network
Year: 2006

There are several drawbacks of common adaptive control methods to nonlinear ship manoeuvring,such as high learning complexity in real time parameters adjustment and poor robustness etc.To(overcome) these disadvantages,a new adaptive inverse control(AIC) scheme based on improved radial basis function(RBF) network was presented,which has simpler structure and no local minimization problem compared with usual nonlinear adaptive model.The simulation results on a nonlinear ship model of "The R.O.V Zeefakkel" show that the AIC can greatly improve the dynamic behavior with a good robustness and disturbance rejection performances;it is suited to the control of smaller ships which have higher (requirement) to the manoeuvrability.
ROS at every level: using the robot operating system in CS 0, 1, 2, and beyond (abstract only)
Venue: SIGCSE '13
Year: 2013

After many years, the robotics research community has settled on standard middleware: the Robot Operating System (ROS) This standard presents a great opportunity for educational robotics. This hands on workshop will engage participants in ROS based curricula for CS 02 and advanced undergraduates. The workshop will highlight how ROS has simplified, enabled, and expanded flipped robotics curricula in CS 02. Our advanced materials show how ROS enables easy access to the robotics research community, permitting larger and more research representative projects. This workshop is two long hands on sessions punctuated with short reports from the presenters' experience. Participants will implement the first two assignments of our CS 2 curriculum. http:/www.cs.hmc.edu/dodds/ROSatSIGCSE2013.
Pengukuran Risiko Operasional Pada Bank Syariah Indonesia (Studi Kasus Bank Syariah XYZ)
Year: 2018

The research aimed at calculating the Operational Value at Risk (OpVar) in estimating the probability of the frequency of losses at Sharia Bank of XYZ, analyzing and assessing the event types of operational risks which have a great contribution in the operational losses of the bank, and determining the efficiency levels of the operational value at risk of capital charges of the bank. Measurement of operational risk in this study was conducted using the Loss Distribution Approach (LDA) Aggregated Model, as one of the Advanced Measurement Approach (AMA) models, which theoretically produces more efficient capital charges. The results showed that the contribution of the biggest losses came from the events of business disruption and system failure, execution, delivery process management and internal fraud. The calculation of the operational risk of the bank conducted using the LDA Aggregate produced lower capital charges than those using the Basic Indicator Approach.  Islamic bank, operational risk measurement, advanced measurement approach, loss distribution approach Abstrak: Penelitian ini bertujuan melakukan perhitungan Operational Value at Risk (OpVaR) untuk mengestimasi peluang kejadian kerugian (probability of the frequency of losses) di bank syariah xyz; menganalisis dan mengevaluasi tipe kejadian risiko operasional yang berkontribusi besar pada kerugian operasional bank syariah xyz; menentukan besarnya tingkat efisiensi beban modal risiko operasional bank syariah xyz. Pengukuran risiko operasional dalam penelitian ini menggunakan Loss Distribution Approach (LDA) Aggregated Model sebagai salah satu internal model Advanced Measurement Approach (AMA) yang secara teori menghasilkan beban modal yang lebih efisien. Hasil penelitian menunjukkan kerugian terbesar terdapat pada tipe kejadian business disruption system failure, execution, delivery process management dan internal fraud. Perhitungan risiko operasional bank syariah xyz dengan menggunakan Metode LDA Aggregate menghasilkan beban modal yang lebih rendah dibandingkan dengan penggunaan metode Basic Indicator Approach.  bank syariah, pengukuran risiko operasional, advanced measurement approach, loss distribution approach
Effect of Temperature on Tensile Strength and Mode I Fracture Toughness of a High Temperature Epoxy Adhesive
Year: 2012

There has been a growing requirement in the last years, particularly in the aerospace industry, for adhesives to withstand high temperatures. The most important factor to consider when studying the effect of temperature on adhesively bonded joints is the variation of adhesive mechanical properties with temperature such as the stress strain curve and the toughness. Adhesive strength and strain show temperature dependence, especially near the glass transition temperature (T g) of the adhesive. Similarly, the fracture toughness is expected to show temperature dependence. In this work, an experimental study was performed to evaluate the effect of the temperature on the adhesive strength and fracture toughness of a high temperature epoxy adhesive. Bulk specimens of cured adhesive were produced and tested in tension at room temperature (RT) 100, 150 and 200degC, in order to obtain a strength profile of the adhesive over this temperature range. Results showed that as the temperature increases the adhesive tensile strength reduces but the ductility increases. Pure mode I adhesive fracture toughness (G Ic) tests were performed on double cantilever beam (DCB) specimens at room (RT) and high temperatures (100, 150 and 200degC) and the fracture toughness G Ic as a function of temperature was obtained. It is shown that at temperatures below T g, the fracture toughness, G Ic, is relatively insensitive to temperature, while above T g (at 200degC) a drastic decrease in fracture toughness was observed.
Integration of a Cool Flame Heat Release Rate Model into a 3 Stage Ignition Model for HCCI Applications and Different Fuels
Year: 2014

The heat release of the low temperature reactions (LTR or cool flame under Homogeneous Charge Compression Ignition HCCI combustion has been quantified for five candidate fuels in an optically accessible Rapid Compression Expansion Machine (RCEM) Two technical fuels (Naphthas) and three primary reference fuels (PRF) (n heptane, PRF25 and PRF50) were examined. The Cetane Numbers (CN) of the fuels range from 35 to 56. Variation of the operating parameters has been performed, in regard to initial charge temperature of 383, 408, and 433K, exhaust gas recirculation (EGR) rate of 0% 25% and 50% and equivalence ratio of 0.29, 0.38, 0.4, 0.53, 0.57, and 0.8. Pressure indication measurements, OH chemiluminescence imaging, and passive spectroscopy were simultaneously implemented. In our previous work, an empirical, three stage, Arrhenius type ignition delay model parameterized on shock tube data, was found to be applicable also in a transient, engine relevant environment. The pressure rise due to cool flame heat release which is crucial for the induction of main ignition was included in the experimental pressure traces that have been used. To fully predict the ignition delay in HCCI engine applications however, the cool flame heat release characteristics need to be known in advance. In this work, the cool flame heat release characteristics have been investigated with regard to operating parameters. A simplified, cool flame heat release model is proposed, that is mathematically independent from the three stage ignition delay model It provides the cool flame heat release profile that is used to reconstruct a pressure/temperature trace including the effect of the cool flame The reconstructed trace is the input to the three stage model and thus both cool and hot flame ignition delays can be predicted. The overall performance of the combined three stage/ cool flame heat release model was assessed. Very good agreement was observed between the experimental ignition delay and the combined cool flame /three stage ignition model computations.
Theoretical and Finite Element Analysis of Static Friction Between Multi Scale Rough Surfaces
Venue: Tribology Letters
Year: 2018

The current work considers the multi scale nature of roughness in a new model that predicts the static friction coefficient. This work is based upon a previous rough surface contact model, which used stacked elastic plastic 3 D sinusoids to model the asperities at multiple scales of roughness. A deterministic model of a three dimensional deformable rough surface pressed against a rigid flat surface is also carried out using the finite element method (FEM) The accuracy of the deterministic FEM model is also considered. At the beginning of contact, which is surface point contact, the asperities or peaks are isolated, sharp, and the contact areas consist of an inadequate number of elements and sources of error. In this range of contact, the results are not presented as real or accurate. As the normal load increases, the number of the contact elements become larger, and thus, the results become more accurate. That is, the deterministic FEM results are most accurate at high loads. Spectral interpolation is used to smooth the geometry in between the original measured nodes. The effects of normal load and plasticity index on static friction are then analyzed. The results predicted by the theoretical model are also compared to other existing rough surface friction contact models and the FEM results. They are in a good qualitative agreement, especially for higher loads and higher plasticity indices. The FEM model also has significant error, but it is more accurate at higher loads where the proposed multi scale static friction model and FEM model are in better agreement.
Live migration of virtual machines with their local persistent storage in a data intensive cloud
Year: 2017

Processing large volumes of data to drive their core business has been the primary objective of many firms and scientific applications in these days. Cloud computing being a large scale distributed computing paradigm can be used to cater for the needs of data intensive applications. There are various approaches for managing the workload on a data intensive cloud. Live migration of a virtual machine is the most prominent paradigm. Existing approaches to live migration use network attached storage where just the run time state needs to be transferred. Live migration of virtual machines with local persistent storage has been shown to have performance advantages like security, availability and privacy. This paper presents an optimised approach for migration of a virtual machine along with its local storage by considering the locality of storage access. Count map combined with a restricted block transfer mechanism is used to minimise the downtime and overhead. The solution proposed is tested by various parameters like bandwidth, write access patterns and threshold. Results show the improvement in downtime and reduction in overhead.
V Shaped InAs/Al0.5Ga0.5Sb Vertical Tunnel FET on GaAs (001) Substrate With I $_{\text {ON}\text {433}\mu$ A. \mu$ m \text {1} at V $_{\text {DS} \text {0.5} V
Venue: IEEE Journal of the Electron Devices Society
Year: 2017

We report on the fabrication of a near broken InAs/Al0.5Ga0.5Sb vertical TUNNEL field effect transistor (TFET) The epitaxial structure is grown on a GaAs (001) substrate thanks to large mismatch accommodation at the GaSb/GaAs interface. The fabrication process involves an anisotropic and selective wet chemical etching of the InAs channel to form a V shaped mesa with lateral side gates. This new architecture provides a large ON current at room temperature while enabling an efficient pinch off thanks to a reduced body thickness near the tunneling interface. With low temperature measurements, we identify the different mechanisms limiting the subthreshold slope at room temperature. At 77 K, where the impact of defects is reduced, a minimum subthreshold slope of 71 mV/decade is achieved for VDS 0.1 V with an ION/IOFF current ratio larger than 6 decades demonstrating that a good trade off between ON current and switching efficiency could be obtained with a near broken gap heterostructure based n TFET.
ILC2 activation by keratinocyte derived IL 25 drives IL 13 production at sites of allergic skin inflammation
Venue: The Journal of allergy and clinical immunology
Year: 2020

Atopic dermatitis skin lesions demonstrate increased expression of IL 25 by keratinocytes and increased numbers of type 2 innate lymphoid cells (ILC2s) that express high levels of IL 25 receptor (IL 25R) IL 13 is expressed in atopic dermatitis skin lesions and plays an important role in pathogenesis of the disease.  Our aim was to determine the role of IL 25 and ILC2s in a mouse model of antigen driven allergic skin inflammation.  Wild type mice; mice that express an Il13 driven enhanced green fluorescent protein; and mice that lack IL 25R, IL 25 in keratinocytes, or IL 13 or IL 25R in ILC2s were subjected to acute or chronic epicutaneous sensitization with ovalbumin. Sensitized skin was examined by histology for epidermal thickening. Cellular infiltrates were analyzed for surface markers and intracellular expression of enhanced green fluorescent protein by flow cytometry. Gene expression was quantitated by RT quantitative PCR.  In both acute and chronic antigen driven allergic skin inflammation, signaling by keratinocyte derived IL 25 in ILC2s is important for epidermal hyperplasia, dermal infiltration by CD4+ T cells, and cutaneous expression of Il13 and the IL 13 dependent TH2 cell attracting chemokines Cc17 and Ccl22. ILCs are the major source of IL 13 in acutely sensitized mouse skin, whereas T cells are its major source in chronically sensitized mouse skin.  ILC2 activation by IL 25 is essential for IL 13 expression at sites of allergic skin inflammation.
Inhibition of AHL mediated quorum sensing to control biofilm thickness in microbial fuel cell by using Rhodococcus sp. BH4.
Venue: Chemosphere
Year: 2021

Anode biofilm thickness is a key point for high and sustainable power generation in microbial fuel cells (MFCs) Over time, the formation of a thicker biofilm on anode electrode hinders the power generation performance of MFC by causing a longer electron transfer path and the accumulation of undesirable components in anode biofilm. To overcome these limitations, we used a novel strategy named quorum quenching (QQ) for the first time in order to control the biofilm thickness on the anode surface by inactivation of signal molecules among microorganisms. For this purpose, the isolated QQ bacteria (Rhodococcus sp. BH4) were immobilized into alginate beads (20, 40, and 80 mg/10 ml sodium alginate) and added to the anode chamber of MFCs. The MFC exhibited the best electrochemical activity (1924 mW m 2) with a biofilm thickness of 26 mm at 40 mg Rhodococcus sp. BH4/10 ml sodium alginate. The inhibition of signal molecules in anode chamber reduced the production of extracellular polymeric substance (EPS) by preventing microbial communication amonganode microorganisms. Microscopic observations revealed that anode biofilm thickness and the abundance of dead bacteria significantly decreased with an increase in Rhodococcus sp. BH4 concentration in MFCs. Microbiome diversity showed an apparent difference among the microbial community structures of anode biofilms in MFCs containing vacant and Rhodococcus sp. BH4 beads. The data revealed that the QQ strategy is an efficient application for improving MFC performance and may shed light on future studies.
GPU Usage for Parallel Functions and Contacts in Modelica
Year: 2015

This thesis investigates two ways of incorporating GPUs in Modelica. The first by automatically generating GPU code for Modelica functions, and the second by using GPU accelerated external code for a contact handling package. Automatic parallelization of functions is desired, as it can potentially accelerate large simulations significantly. Special patterns of nested for loops in Modelica code are recognized and translated into CUDA kernel functions. Inline integration allows a broader spectrum of models to take advantage of the parallelization, by reducing CPU GPU transfers. The prototype has been tested and achieved a speed up factor of up to five compared to the CPU. The contact handling package is capable of handling both complex contact behavior between arbitrarily shaped bodies and large DEM like simulations, something which Modelica is currently lacking. Attempts to accelerate the package with GPUs were made, with partial success for the broad phase. The package uses Morton encoding for the broad phase, and the narrow phase is based on CSG intersection with BSP trees. Contact response is calculated using a volume dependent method, taking friction, damping and multiple contact points into account. The capability of the package was demonstrated by the fact that both complex contact behavior such as the inversion of the Tippe Top toy and tens of thousands of colliding spheres could be simulated.