nils-herrmann/clean_scirepeval huggingface dataset:
LOV4IoT: A Second Life for Ontology Based Domain Knowledge to Build Semantic Web of Things Applications
Venue: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud)

Semantic Web of Things is a new field combining Semantic Web and Internet of Things technologies to be surrounded by smart objects and applications connected to the Web. On one hand, one of the Linked Open Data applications, called DataHub aims at referencing datasets, on the other hand, the Linked Open Vocabularies (LOV) references more than 400 ontologies. However, we discovered that more than 200 ontology based projects relevant for IoT are not referenced on such tools since domain experts are not aware of them nor of the semantic web best practices. We propose the Machine to Machine Measurement (M3) framework, available online, to rapidly design and develop semantic based cross domain IoT applications by reusing as much as possible the domain knowledge (ontologies, datasets and rules) To achieve this goal, there are challenging steps: (1) referencing and classifying semantic based projects relevant for IoT, (2) re engineering a dataset of interoperable domain rules to deduce high level abstractions from sensor data, (3) re engineering an interoperable cross domain knowledge to combine domains, and (4) assisting developers in designing IoT applications by designing pre defined templates. In this article, we are focused on referencing and classifying semantic based projects relevant for IoT by designing the Linked Open Vocabularies for Internet of Things (LOV4IoT) dataset. We also design a dataset of interoperable domain rules to deduce high level abstractions from sensor data by designing the Sensor based Linked Open Rules (S LOR) This work has been applied to two uses cases: (1) redesigning a security and cross domain knowledge base to assist users in suggesting security mechanisms to secure their applications, and (2) designing semantic based IoT applications embedded in Android powered devices.
Investigation of thermally double coupled double membrane heat exchanger reactor to produce dimethyl ether and methyl formate

Owing to concerns associated with energy consumption and energy intensive methods in the chemical industries, the present study aims to investigate production of some downstream products of natural gas in a recuperative configuration. Accordingly, simultaneous production of dimethyl ether from methanol and syngas and also methyl formate from methanol is investigated in a catalytic heat exchanger reactor assisted with water perm selective membranes. Dimethyl ether synthesis from methanol and syngas are exothermic reactions supplying required energy for the methanol dehydrogenation reaction. Produced waters in both exothermic sides are eliminated from reaction media by permeation through the perm selective membranes equipped on the inner and outer surfaces of the reactor. A feasibility study is implemented through a mathematical model based on mass and energy balance. Genetic algorithm as a powerful method in nonlinear optimization problems is applied to obtain optimum operating conditions. 97% methanol conversion to dimethyl ether, 66% methanol conversion to methyl formate and 17% hydrogen conversion are the advancements of the proposed thermally double coupled double membrane reactor working under optimum conditions.
The relationship between learning styles and affinity for concept mapping among graduate nursing students

This pilot study was conducted using a convenience sample of graduate nursing students to explore the relationship between learning styles and the affinity for concept mapping as a tool to understand complex topics. The findings suggested all identified learning styles acknowledged the usefulness of concept mapping in understanding complex concepts. However, although most participants deemed concept mapping as helpful in understanding complex concepts, 90% stated they did not routinely create them when not required to do so.
Feature based building orientation optimization for additive manufacturing

The purpose of this paper is to present research work based on the authors' conceptual framework reported in the VRAP Conference 2013. It is related with an efficient method to obtain an optimal part build orientation for additive manufacturing (AM) by using AM features with associated AM production knowledge and multi attribute decision making (MADM) The paper also emphasizes the importance of AM feature and the implied AM knowledge in AM process planning.  To solve the orientation problem in AM, two sub tasks, the generation of a set of alternative orientations and the identification of an optimal one within the generated list, should be accomplished. In this paper, AM feature is defined and associated with AM production knowledge to be used for generating a set of alternative orientations. Key attributes for the decision making of the orientation problem are then identified and used to represent those generated orientations. Finally, an integrated MADM model is adopted to find out the optimal orientation among the generated alternative orientations.  The proposed method to find out an optimal part build orientation for those parts with simple or medium complex geometric shapes is reasonable and efficient. It also has the potential to deal with more complex parts with cellular or porous structures in a short time by using high performance computers.  The proposed method is a proof of concept. There is a need to investigate AM feature types and the association with related AM production knowledge further so as to suite the context of orientating parts with more complex geometric features. There are also research opportunities for developing more advanced algorithms to recognize AM features and generate alternative orientations and refine alternative orientations.  AM feature is defined and introduced to the orientation problem in AM for generating the alternative orientations. It is also used as one of the key attributes for decision making so as to help express production requirements on specific geometric features of a desired part.
Simulation of digital pixel readout chip architectures with the RD53 SystemVerilog UVM verification environment using Monte Carlo physics data

The simulation and verification framework developed by the RD53 collaboration is a powerful tool for global architecture optimization and design verification of next generation hybrid pixel readout chips. In this paper the framework is used for studying digital pixel chip architectures at behavioral level. This is carried out by simulating a dedicated, highly parameterized pixel chip description, which makes it possible to investigate different grouping strategies between pixels and different latency buffering and arbitration schemes. The pixel hit information used as simulation input can be either generated internally in the framework or imported from external Monte Carlo detector simulation data. The latter have been provided by both the CMS and ATLAS experiments, featuring HL LHC operating conditions and the specifications related to the Phase 2 upgrade. Pixel regions and double columns were simulated using such Monte Carlo data as inputs: the performance of different latency buffering architectures was compared and the compliance of different link speeds with the expected column data rate was verified.
Review of hybrid pixel detector readout ASICs for spectroscopic X ray imaging

Semiconductor detector readout chips with pulse processing electronics have made possible spectroscopic X ray imaging, bringing an improvement in the overall image quality and, in the case of medical imaging, a reduction in the X ray dose delivered to the patient. In this contribution we review the state of the art in semiconductor detector readout ASICs for spectroscopic X ray imaging with emphasis on hybrid pixel detector technology. We discuss how some of the key challenges of the technology (such as dealing with high fluxes, maintaining spectral fidelity, power consumption density) are addressed by the various ASICs. In order to understand the fundamental limits of the technology, the physics of the interaction of radiation with the semiconductor detector and the process of signal induction in the input electrodes of the readout circuit are described. Simulations of the process of signal induction are presented that reveal the importance of making use of the small pixel effect to minimize the impact of the slow motion of holes and hole trapping in the induced signal in high Z sensor materials. This can contribute to preserve fidelity in the measured spectrum with relatively short values of the shaper peaking time. Simulations also show, on the other hand, the distortion in the energy spectrum due to charge sharing and fluorescence photons when the pixel pitch is decreased. However, using recent measurements from the Medipix3 ASIC, we demonstrate that the spectroscopic information contained in the incoming photon beam can be recovered by the implementation in hardware of an algorithm whereby the signal from a single photon is reconstructed and allocated to the pixel with the largest deposition.
Investigations on the Energy Efficiency of Stratified Air Distribution Systems with Different Diffuser Layouts

This paper investigated the influence of diffuser layouts on the energy performance of stratified air distribution systems (STRAD) The energy saving potentials of STRAD systems are theoretically analyzed. The cooling coil load of a STRAD system is proportion to the return air temperature, while inversely proportional to the exhaust air temperature. Based on that, numerical studies are conducted for the applications of STRAD systems in three typical building space types. Two evaluation indices are developed to assess the energy performance of STRAD systems. The simulation results demonstrated that further energy saving could be achieved by keeping the exhaust grille at ceiling level and decreasing the height of return grille. Therefore, in order to optimize the energy saving capacity of STRAD systems, the return grille is recommended to be located as low as possible, whilst paying special attention on the "short circuit" of cold supply air. Furthermore, when the STRAD system is applied in large space buildings with a big horizontal span, supply diffusers should be distributed surrounding the occupied zone as uniformly as possible, while avoiding installing return diffusers at exterior walls.
A 0.52/1 V Fast Lock in ADPLL for Supporting Dynamic Voltage and Frequency Scaling
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems

In energy efficient processing platforms, such as wearable sensors and implantable medical devices, dynamic voltage and frequency scaling allows optimizing the energy efficiency under various modes of operation. The clock generator used in these platforms should be capable of achieving a faster settling time and has a wider operating voltage range. In this brief, a fast lock in all digital phase locked loop (ADPLL) with two operation modes (0.52/1 V) is presented. The proposed ADPLL can quickly compute the desired digitally controlled oscillator control code with high accuracy. Therefore, the proposed ADPLL can achieve a fast setting time with frequency errors ;5% within four clock cycles. The proposed ADPLL is implemented using a standard performance 90 nm CMOS process. The output frequency of the ADPLL ranges from 60 to 600 MHz at 1 V, and from 30 to 120 MHz at 0.52 V. The power consumption of the proposed ADPLL is 0.92 mW at (1 V, 600 MHz) and 37 mW at (0.52 V, 120 MHz)
Prediction of NBTI Degradation in Dynamic Voltage Frequency Scaling Operations
Venue: IEEE Transactions on Device and Materials Reliability

In the nano CMOS era, negative bias temperature instability (NBTI) has become one of the major limiting factors of circuit lifetime. Degradation caused by NBTI effect is profoundly affected by today's complicated circuit operations, such as dynamic voltage frequency scaling, in which power supply and frequency vary with time elapsing. Therefore, accurate NBTI prediction is essential to CMOS circuit design for reliability. To achieve this target, this paper 1) revises the closed form reaction diffusion and trapping/detrapping models to improve their aging prediction, under the situation when supply voltage, frequency, and duty factor consecutively change; 2) proposes an efficient calculation framework for our revised closed form models to provide accurate aging prediction over a long time span; 3) validates our revised models and calculation methods by using the parameters extracted from a 65 nm CMOS process. Compared with the previous closed form models, our revised models and the related calculation methods are able to provide convincing aging predictions. In the future, the revised models and the calculation methods will be introduced into the exploration on circuit design for reliability.
Discrete wavelet transform based video watermarking technique
Venue: 2016 International Conference on Microelectronics, Computing and Communications (MicroCom)

In this paper, an effective algorithm for providing copyright protection is proposed by using a new embedding strategy for Discrete Wavelet Transform based video watermarking. Discrete Wavelet Transform (DWT) is applied on the video, to convert the spatial data into frequency domain, having low pass and high pass components. The low frequency component is used for generating the key, by using the watermark image and the binarized Low frequency part (LL) of the video frame. Same procedure is applied on each frame to generate the key for corresponding frame. This generated key should be used at receiver for extracting the watermark which provides copyright protection. Blind watermarking technique is used in this paper which require only key to extract the embedded watermark. The original video is not required during extraction. To criticize the robustness of algorithm, the original watermark image is compared with extracted watermark image after several attacks and their Peak Signal to Noise Ratio (PSNR) Normalized Correlation Coefficient (NC) and Structural Similarity index (SSIM) are calculated. The experimental results demonstrate that the watermark is invisible and it is robust against the various attacks and addition of noise to the video.
Modigliani Miller Doesn't Hold in a 'Bailinable' World: A New Capital Structure to Reduce the Banks' Funding Cost

To protect retail investors from the bail in rule, we propose that banks should issue subordinated "contractual bail in instruments" as defined in the BRRD, for an amount (together with Tier1 capital) at least equal to 8% of their liabilities. We support our argument by means of a theoretical model, where retail investors are uncertainty averse, due to their lack of information about the new "bailinable" regime. To the contrary, institutional investors are better informed. Within this framework, a bank is able to reduce the cost of debt by splitting it into a junior and a senior tranche, sold to institutional and retail investors respectively. This result is a deviation from the Modigliani Miller theorem. We also provide some estimates of the amounts of contractual bail in instruments that European banks should issue in order to reach the 8% target level. Such amounts are considerable, implying that the solution proposed here should be implemented gradually over a transition period.
Framing green consumer behaviour research: opportunities and challenges

This paper aims to investigate existing research in green marketing with special reference to consumer behaviour and identify challenges both in practice and research, offering valuable insights for both the communities. While reviewing the existing literature in the paper, the authors define the scope of green marketing as a standalone discipline and discuss all aspects of green consumer behaviour and present opportunities for researchers.  A thorough literature search in leading academic journals related to the scope of this paper was conducted through leading databases. An analysis of literature review comprising 140 relevant articles has been carried out and presented in the paper.  Green consumer behaviour research is one area which is very well researched but studies are found to be generic in nature. the authors stress that research needs to be advanced in relation to addressing gaps between consumer perceptions and designing green products, identification of green segments, positioning green products and also inclusion of stakeholders in green marketing process. More insights into consumers willingness to pay for green attributes Vis a Vis conventional attributes need to be worked out.  In spite of plenty of reviews available in green marketing, there is no review which solely covers the consumer behaviour aspects of green marketing. Consumer being the most important stakeholder in green marketing domain deserves special attention from the researchers' perspective. The review is unique in providing all aspects of green consumer behaviour research.
State of the art in surface integrity in machining of nickel based super alloys

Nickel based super alloys are gaining more significance, now a days, with extensive applications in aerospace, marine, nuclear reactor and chemical industries. Several characteristics including superior mechanical and chemical properties at elevated temperature, high toughness and ductility, high melting point, excellent resistance to corrosion, thermal shocks, thermal fatigue and erosion are primarily responsible for wide domain of application. Nevertheless, machined surface integrity of nickel based super alloys is a critical aspect which influences functional performance including fatigue life of the component. This review paper presents state of the art on various surface integrity characteristics during machining of nickel based super alloys. Influence of various cutting parameters, cutting environment, coating, wear and edge geometry of cutting tools on different features of surface integrity has been critically explained. These characteristics encompass surface roughness, defects (surface cavities, metal debris, plucking, smeared material, redeposited material, cracked carbide particles, feed marks, grooves and laps) metallurgical aspects in the form of surface and sub surface microstructure phase transformation, dynamic recrystallisation and grain refinement and mechanical characteristics such as work hardening and residual stress. Microstructural modification of deformed layer, profile of residual stresses and their influence on fatigue durability have been given significant emphasis. Future research endeavour might focus on development of new grades, advanced processing techniques of the same to ensure their superior stability of microstructure and thermo mechanical properties along with advanced manufacturing processes like additive manufacturing to achieve highest level of fatigue durability of safety critical components while maintaining acceptable surface integrity and productivity.
Professional mathematicians differ from controls in their spatial numerical associations
Venue: Psychological research

While mathematically impaired individuals have been shown to have deficits in all kinds of basic numerical representations, among them spatial numerical associations, little is known about individuals with exceptionally high math expertise. They might have a more abstract magnitude representation or more flexible spatial associations, so that no automatic left/small and right/large spatial numerical association is elicited. To pursue this question, we examined the Spatial Numerical Association of Response Codes (SNARC) effect in professional mathematicians which was compared to two control groups: Professionals who use advanced math in their work but are not mathematicians (mostly engineers) and matched controls. Contrarily to both control groups, Mathematicians did not reveal a SNARC effect. The group differences could not be accounted for by differences in mean response speed, response variance or intelligence or a general tendency not to show spatial numerical associations. We propose that professional mathematicians possess more abstract and/or spatially very flexible numerical representations and therefore do not exhibit or do have a largely reduced default left to right spatial numerical orientation as indexed by the SNARC effect, but we also discuss other possible accounts. We argue that this comparison with professional mathematicians also tells us about the nature of spatial numerical associations in persons with much less mathematical expertise or knowledge.
The etiology of social anxiety disorder: An evidence based model.
Venue: Behaviour research and therapy

The current paper presents an update to the model of social anxiety disorder (social phobia) published by Rapee and Spence (2004) It evaluates the research over the intervening 11 years and advances the original model in response to the empirical evidence. We review the recent literature regarding the impact of genetic and biological influences, temperament, cognitive factors, peer relationships, parenting, adverse life events and cultural variables upon the development of SAD. The paper draws together recent literature demonstrating the complex interplay between these variables, and highlights the many etiological pathways. While acknowledging the considerable progress in the empirical literature, the significant gaps in knowledge are noted, particularly the need for further longitudinal research to clarify causal pathways, and moderating and mediating effects. The resulting model will be valuable in informing the design of more effective treatment and preventive interventions for SAD and will provide a useful platform to guide future research directions.
WGS analysis and molecular resistance mechanisms of azithromycin resistant (MIC >2 mg/L) Neisseria gonorrhoeae isolates in Europe from 2009 to 2014.
Venue: The Journal of antimicrobial chemotherapy

To elucidate the genome based epidemiology and phylogenomics of azithromycin resistant (MIC >2 mg/L) Neisseria gonorrhoeae strains collected in 2009 14 in Europe and clarify the azithromycin resistance mechanisms.  Seventy five azithromycin resistant (MIC 4 to >256 mg/L) N. gonorrhoeae isolates collected in 17 European countries during 2009 14 were examined using antimicrobial susceptibility testing and WGS.  Thirty six N. gonorrhoeae multi antigen sequence typing STs and five phylogenomic clades, including 4 22 isolates from several countries per clade, were identified. The azithromycin target mutation A2059G (Escherichia coli numbering) was found in all four alleles of the 23S rRNA gene in all isolates with high level azithromycin resistance (n 4; MIC =256 mg/L) The C2611T mutation was identified in two to four alleles of the 23S rRNA gene in the remaining 71 isolates. Mutations in mtrR and its promoter were identified in 43 isolates, comprising isolates within the whole azithromycin MIC range. No mutations associated with azithromycin resistance were found in the rplD gene or the rplV gene and none of the macrolide resistance associated genes [mef(A/E) ere(A) ere(B) erm(A) erm(B) erm(C) and erm(F) were identified in any isolate.  Clonal spread of relatively few N. gonorrhoeae strains accounts for the majority of the azithromycin resistance (MIC >2 mg/L) in Europe. The four isolates with high level resistance to azithromycin (MIC =256 mg/L) were widely separated in the phylogenomic tree and did not belong to any of the main clades. The main azithromycin resistance mechanisms were the A2059G mutation (high level resistance) and the C2611T mutation (low and moderate level resistance) in the 23S rRNA gene.