nils-herrmann/clean_scirepeval huggingface dataset:
Improved algorithm for point cloud registration based on fast point feature histograms

Point cloud registration is very important in three dimensional (3 D) point cloud data processing as its results directly affect 3 D object reconstruction and other applications. Currently, there are many methods for point cloud registration, but these methods are not able to simultaneously solve the problem of both efficiency and precision. We propose a method of point cloud registration based on fast point feature histogram (FPFH) in which feature points are first extracted from the point cloud dataset according to FPFH and four point to point correspondences are found within some given constraints regarding their features, distances, and location relationships. Then, additional point pairs are added on the basis of the initial four point pairs until the number of point pairs satisfies the requirements for point cloud registration. Finally, a rigid transformation matrix is calculated from the correspondence of the point pairs. The results show that there is both a high efficiency and precision in most types of datasets when using this method for point cloud registration.
A phase II randomized study: Outcomes after cytoreductive surgery (CRS) with or without carboplatin hyperthermic intraperitoneal chemotherapy (HIPEC) followed by adjuvant chemotherapy as initial treatment of advanced stage (stage III/IV) ovarian, fallopian tube, and primary peritoneal cancer.

Ovarian cancer is the deadliest of gynecologic cancers. Cytoreductive surgery (CRS) is the cornerstone treatment for advanced stage ovarian cancer. Following CRS, hyperthermic int.
Shear bond strength of veneering porcelain to zirconia: Effect of surface treatment by CNC milling and composite layer deposition on zirconia.
Venue: Journal of the mechanical behavior of biomedical materials

The purpose of this study was to evaluate the shear bond strength of veneering feldspathic porcelain to zirconia substrates modified by CNC milling process or by coating zirconia with a composite interlayer.  Four types of zirconia porcelain interface configurations were tested: RZ porcelain bonded to rough zirconia substrate (n=16) PZ porcelain bonded to zirconia substrate with surface holes (n=16) RZI application of a composite interlayer between the veneering porcelain and the rough zirconia substrate (n=16) PZI application of a composite interlayer between the porcelain and the zirconia substrate treated by CNC milling (n=16) The composite interlayer was composed of zirconia particles reinforced porcelain (30% vol% The mechanical properties of the ceramic composite have been determined. The shear bond strength test was performed at 0.5mm/min using a universal testing machine. The interfaces of fractured and untested specimens were examined by FEG SEM/EDS. Data was analyzed with Shapiro Wilk test to test the assumption of normality. The one way ANOVA followed by Tukey HSD multiple comparison test was used to compare shear bond strength results (a=0.05) RESULTS The shear bond strength of PZ (100+ 15MPa) and RZI (96+ 11MPa) specimens were higher than that recorded for RZ (control group) specimens (89+ 15MPa) although not significantly (p>0.05) The highest shear bond strength values were recorded for PZI specimens (138+ 19MPa) yielding a significant improvement of 55% relative to RZ specimens (p<0.05)  This study shows that it is possible to highly enhance the zirconia porcelain bond strength even by ~55% by combining surface holes in zirconia frameworks and the application of a proper ceramic composite interlayer.
Parity time symmetry breaking mechanism of dynamic Mott transitions in dissipative systems

We describe the critical behavior of electric field driven (dynamic) Mott insulator to metal transitions in dissipative Fermi and Bose systems in terms of non Hermitian Hamiltonians invariant under simultaneous parity (P) and time reversal (T) operations. The dynamic Mott transition is identified as a PT symmetry breaking phase transition, with the Mott insulating state corresponding to the regime of unbroken PT symmetry with a real energy spectrum. We establish that the imaginary part of the Hamiltonian arises from the combined effects of the driving field and inherent dissipation. We derive the renormalization and collapse of the Mott gap at the dielectric breakdown and describe the resulting critical behavior of transport characteristics. The obtained critical exponent is in an excellent agreement with experimental findings.
Next generation sequencing data of a defined microbial mock community
Venue: Scientific data

Generating sequence data of a defined community composed of organisms with complete reference genomes is indispensable for the benchmarking of new genome sequence analysis methods, including assembly and binning tools. Moreover the validation of new sequencing library protocols and platforms to assess critical components such as sequencing errors and biases relies on such datasets. We here report the next generation metagenomic sequence data of a defined mock community (Mock Bacteria ARchaea Community; MBARC 26) composed of 23 bacterial and 3 archaeal strains with finished genomes. These strains span 10 phyla and 14 classes, a range of GC contents, genome sizes, repeat content and encompass a diverse abundance profile. Short read Illumina and long read PacBio SMRT sequences of this mock community are described. These data represent a valuable resource for the scientific community, enabling extensive benchmarking and comparative evaluation of bioinformatics tools without the need to simulate data. As such, these data can aid in improving our current sequence data analysis toolkit and spur interest in the development of new tools.
Data of multiple regressions analysis between selected biomarkers related to glutamate excitotoxicity and oxidative stress in Saudi autistic patients
Venue: Data in brief

This work demonstrates data of multiple regression analysis between nine biomarkers related to glutamate excitotoxicity and impaired detoxification as two mechanisms recently recorded as autism phenotypes. The presented data was obtained by measuring a panel of markers in 20 autistic patients aged 3 15 years and 20 age and gender matching healthy controls. Levels of GSH, glutathione status (GSH/GSSG) glutathione reductase (GR) glutathione s transferase (GST) thioredoxin (Trx) thioredoxin reductase (TrxR) and peroxidoxins (Prxs I and III) glutamate, glutamine, glutamate/glutamine ratio glutamate dehydrogenase (GDH) in plasma and mercury (Hg) in red blood cells were determined in both groups. In Multiple regression analysis, R2 values which describe the proportion or percentage of variance in the dependent variable attributed to the variance in the independent variables together were calculated. Moreover, b coefficients values which show the direction either positive or negative and the contribution of the independent variable relative to the other independent variables in explaining the variation of the dependent variable were determined. A panel of inter related markers was recorded. This paper contains data related to and supporting research articles currently published entitled "Mechanism of nitrogen metabolism related parameters and enzyme activities in the pathophysiology of autism"  "Novel metabolic biomarkers related to sulfur dependent detoxification pathways in autistic patients of Saudi Arabia  and "A key role for an impaired detoxification mechanism in the etiology and severity of autism spectrum disorders"
Toxicological data of some antibiotics and pesticides to fish, mosquitoes, cyanobacterial mats and to plants
Venue: Data in brief

This article provides toxicological data of antibiotics to fish and mosquito (El Nahhal and El dahdaouh, 2015) (doi: 10.5132/eec.2015.01.03  to cyanobacteria (El Nahhal and Alshanti, 2015)(dx.doi.org/10.4172/2161 0525.1000274  and pesticides to plants (El Nahhal and Hamdona, 2015) (doi.10.1186/s40064 015 1148 7  The data provided herein described the experimental procedure and calculation of the appropriate toxicity parameters, lethal concentrations (LC50) required to kill 50% of tested animal, percentage growth inhibition, relative toxicity (RT) and Mixture toxicity index. Moreover, the data enable the readers to perform future experiments and open future discussion with other authors elsewhere and generate future research guidelines which benefit the young scientific community around the globe in the field of mixture toxicity.
Unit modular in fill construction method for high rise buildings

A modular construction method includes factory prefabricated room sized volumetric units. Although low rise buildings have been constructed worldwide using this method for more than 30 years, it is a relatively new technology in high rise construction. There are three basic methods of constructing high rise buildings using modular construction: the core method, the core and podium combination method, and the modular in fill method. While the first two have been used in the USA and in several European countries, the third method, introduced in 2011 by an international cruise ship development firm, is a rather new approach for which there are few case histories. Although the modular in fill method is being used to construct several dormitories in Korea through public private partnerships with the Korean government, there have been few applications of this method to construction of high rise buildings. Therefore, its applicability and construction feasibility should be verified. As a pilot study to test the applicability of the modular in fill method, a 12 story residential building was built in Korea. This paper describes a case study of the pilot project. The advantages and disadvantages of the method and its applicability in terms of cost effectiveness and construction schedule management were evaluated. The results of this study provide a reference base for advancement of the in fill method based on an analysis of problems that arose during the construction process for the pilot project.
A system dynamics model for construction method selection with sustainability considerations

Construction projects have project conditions that change over time, like the availability of resources. These changes have the potential to influence the selection of construction methods, which in turn significantly affects the chance of successfully accomplishing project objectives, such as the time of completion, cost, and sustainability. In addition, project conditions are dynamic, and their impact on construction methods and project objectives are difficult to predict intuitively. Therefore, there is a need for an analytic procedure to understand the impact of different project conditions on the decision making process of construction professionals. This analytical procedure will better inform construction professionals during the selection of construction methods. The authors applied systems dynamics to simulate and analyze the changing project conditions and their influence on the selection of construction methods when decision makers are constrained by time, cost and environmental impact objectives. Two highway case studies were considered to demonstrate the effectiveness of the system dynamics model. The results of the case studies suggest that the proposed systems dynamics model has the potential to effectively simulate decision making processes in construction under changing project conditions while outputting the most feasible construction methods. Furthermore, the study shows that project conditions have an impact on the flow of construction processes.
Modulation Strategies Based on Mathematical Construction Method for Multimodular Matrix Converter
Venue: IEEE Transactions on Power Electronics

A family of modulation schemes based on mathematical construction for the multimodular matrix converter (MC) with ordinary multiwindings transformer is proposed in this paper. The key to the schemes are the calculation of offset signals. A geometric method is introduced to determine the range of the offset signals. The modulation schemes could be divided in two categories based on the geometric positions of the offset signals: continuous modulation (Method I) and discontinuous modulation (Method II) The former has the advantages of ease of use and good power quality. While the later has the advantage in power losses. Additionally, both methods can achieve the maximum linear voltage transfer ratio. To obtain better output current quality, a switching pattern with specific sequence is provided. Finally, a scaled down prototype is built to verify the correctness and effectiveness of the proposed modulation strategies.
Fabrication of 2D and 3D photonic structures using laser lithography
Venue: Polish Slovak Czech Optical Conference on Wave and Quantum Aspects of Contemporary Optics

In this paper we demonstrate possibilities of three dimensional (3D) printing technology based on two photon polymerization. We used three dimensional dip in direct laser writing (DLW) optical lithography to fabricate 2D and 3D optical structures for optoelectronics and for optical sensing applications. DLW lithography allows us use a non conventional way how to couple light into the waveguide structure. We prepared ring resonator and we investigated its transmission spectral characteristic. We present 3D inverse opal structure from its design to printing and scanning electron microscope (SEM) imaging. Finally, SEM images of some prepared photonic crystal structures were performed.
Introducing IoT and Wearable Technologies into Task Based Language Learning for Young Children
Venue: IEEE Transactions on Learning Technologies

In the last few years, in an attempt to further motivate students to learn a foreign language, there has been an increasing interest in task based teaching techniques, which emphasize communication and the practical use of language, thus moving away from the repetitive grammar translation methods. Within this approach, the significance of situating foreign language learners in scenarios where they can meaningfully learn has become a major priority for many educators. This approach is particularly relevant in the context of teaching foreign languages to young children, who need to be introduced to a new language by means of very concrete vocabulary, which is facilitated by the use of objects that they can handle and see. In this study, we investigate the benefits of using wearable and Internet of Things (IoT) technologies in streamlining the creation of such realistic task based language learning scenarios. We show that the use of these technologies will prove beneficial by freeing the instructors of having to keep records of the tasks performed by each student during the class session. Instead, instructors can focus their efforts on creating a friendly environment and encouraging students to participate. Our study sets up a basis for showing the great benefits of using wearable and IoT technologies in streamlining 1) the creation of realistic scenarios in which young foreign language learners can feel comfortable engaging in chat and becoming better prepared for social interaction in a foreign language, and 2) the acquisition and processing of performance metrics.
Gaussian beam propagation in anisotropic turbulence along horizontal links: theory, simulation, and laboratory implementation.
Venue: Applied optics

Experimental and theoretical work has shown that atmospheric turbulence can exhibit "non Kolmogorov" behavior including anisotropy and modifications of the classically accepted spatial power spectral slope, 11/3. In typical horizontal scenarios, atmospheric anisotropy implies that the variations in the refractive index are more spatially correlated in both horizontal directions than in the vertical. In this work, we extend Gaussian beam theory for propagation through Kolmogorov turbulence to the case of anisotropic turbulence along the horizontal direction. We also study the effects of different spatial power spectral slopes on the beam propagation. A description is developed for the average beam intensity profile, and the results for a range of scenarios are demonstrated for the first time with a wave optics simulation and a spatial light modulator based laboratory benchtop counterpart. The theoretical, simulation, and benchtop intensity profiles show good agreement and illustrate that an elliptically shaped beam profile can develop upon propagation. For stronger turbulent fluctuation regimes and larger anisotropies, the theory predicts a slightly more elliptical form of the beam than is generated by the simulation or benchtop setup. The theory also predicts that without an outer scale limit, the beam width becomes unbounded as the power spectral slope index a approaches a maximum value of 4. This behavior is not seen in the simulation or benchtop results because the numerical phase screens used for these studies do not model the unbounded wavefront tilt component implied in the analytic theory.
Multi timescale Parametric Electrical Battery Model for Use in Dynamic Electric Vehicle Simulations
Venue: IEEE Transactions on Transportation Electrification

Simulation of electric vehicles (EVs) over driving schedules within a fully dynamic EV simulator requires battery models capable of accurately and quickly predicting state of charge (SOC) $I$ $V$ characteristics, and dynamic behavior of various battery types. An electric battery model utilizing multiple time constants, to address ranges of seconds, minutes, and hours, is developed. The model parameters include open circuit voltage, series resistance, and equivalent RC circuits, with nonlinear dependence on battery SOC. The SOC captures effects from discharge and charge rate, temperature, and battery cycling. Thermal modeling predicting real time battery temperature is introduced. One focus of this paper is presenting a systematic and generic methodology for parameter extraction as well as obtaining SOC factors through reasonable test work when evaluating any given lithium ion (Li ion) nickel metal hydride, or lead acid battery cell. In particular, data sets for a Panasonic CGR18650 Li ion battery cell are tabulated for direct use. The Li ion battery model is programmed into a MATLAB/Simulink environment and used as a power source within an existing comprehensive dynamic vehicle simulator. Validation of the Simulink model is through a battery testing apparatus with a hardware in the loop driving schedule that cycles real batteries. Results from simulations and measurements of Li ion battery packs show that the proposed battery model behaves well and interacts appropriately with other subcomponents of the vehicle simulator.
Parametric CAD modeling: An analysis of strategies for design reusability
Venue: Comput. Aided Des.

CAD model quality in parametric design scenarios largely determines the level of flexibility and adaptability of a 3D model (how easy it is to alter the geometry) as well as its reusability (the ability to use existing geometry in other contexts and applications) In the context of mechanical CAD systems, the nature of the feature based parametric modeling paradigm, which is based on parent child interdependencies between features, allows a wide selection of approaches for creating a specific model. Despite the virtually unlimited range of possible strategies for modeling a part, only a small number of them can guarantee an appropriate internal structure which results in a truly reusable CAD model. In this paper, we present an analysis of formal CAD modeling strategies and best practices for history based parametric design: Delphi's horizontal modeling, explicit reference modeling, and resilient modeling. Aspects considered in our study include the rationale to avoid the creation of unnecessary feature interdependencies, the sequence and selection criteria for those features, and the effects of parent/child relations on model alteration. We provide a comparative evaluation of these strategies in the form of a series of experiments using three industrial CAD models with different levels of complexity. We analyze the internal structure of the models and compare their robustness and flexibility when the geometry is modified. The results reveal significant advantages of formal modeling methodologies, particularly resilient techniques, over non structured approaches as well as the unexpected problems of the horizontal strategy in numerous modeling situations. We analyze three formal CAD modeling strategies for history based parametric design.User performance was studied using three industrial CAD models with different levels of complexity.Formal modeling methodologies offer significant advantages over non structured approaches.Modeling methodologies significantly affect reusability.
Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research

Questionnaire is one of the most widely used tools to collect data in especially social science research. The main objective of questionnaire in research is to obtain relevant information in most reliable and valid manner. Thus the accuracy and consistency of survey/questionnaire forms a significant aspect of research methodology which are known as validity and reliability. Often new researchers are confused with selection and conducting of proper validity type to test their research instrument (questionnaire/survey) This review article explores and describes the validity and reliability of a questionnaire/survey and also discusses various forms of validity and reliability tests.
Research on CO 2 emissions from China's electric power industry based on system dynamics model

In China, over 40% of national CO2 emissions originate from the power industry, which plays a vital role in emissions reduction. In this paper, we present a system dynamics model based on dynamic interactions among system influential components to analyse CO2 emissions from power electric power industry under three designed scenarios. Simulations results indicate that the total power CO2 emissions show an increasing trend on the whole. Due to the implementation of low carbon electricity measures, the growth rate of power CO2 emissions in low carbon development scenario and intensive low carbon development scenario is much lower than that of basic scenario. A 13.19% reduction of the power CO2 emissions can be achieved in the year 2020 based on low carbon scenario and 27.53% reduction on intensive low carbon scenario. The projections demonstrate the effect of the system dynamic model in serving as a decision making tool in the low carbon electric industry process. Some instructive transition measures to low carbon power industry have provided for power industry's carbon emission profiles.