nils-herrmann/clean_scirepeval huggingface dataset:
Capacitor-Less High-Strength Resonant Wireless Power Transfer Using Open Bifilar Spiral Coil

A highly efficient wireless power transfer (WPT) system is required in many applications to replace the conventional wired system. The high temperature superconducting (HTS) wires are examined in a WPT system to increase the power-transfer efficiency (PTE) as compared with the conventional copper/Litz conductor. The HTS conductors are naturally can produce higher amount of magnetic field with high induced voltage to the receiving coil. Moreover, the WPT systems are prone to misalignment, which can cause sudden variation in the induced voltage and lead to rapid damage of the resonant capacitors connected in the circuit. Hence, the protection or elimination of resonant capacitor is required to increase the longevity of WPT system, but both the adoptions will operate the system in nonresonance mode. The absence of resonance phenomena in the WPT system will drastically reduce the PTE and correspondingly the future commercialization. This paper proposes an open bifilar spiral coils based self-resonant WPT method without using resonant capacitors at both the sides. The mathematical modeling and circuit simulation of the proposed system is performed by designing the transmitter coil using HTS wire and the receiver with copper coil. The three-dimensional modeling and finite element simulation of the proposed system is performed to analyze the current density at different coupling distances between the coil. Furthermore, the experimental results show the PTE of 49.8% under critical coupling with the resonant frequency of 25 kHz.
Robust least squares twin support vector machine for human activity recognition

Human activity recognition is an active area of research in Computer Vision. One of the challenges of activity recognition system is the presence of noise between related activity classes along with high training and testing time complexity of the system. In this paper, we address these problems by introducing a Robust Least Squares Twin Support Vector Machine (RLS-TWSVM) algorithm. RLS-TWSVM handles the heteroscedastic noise and outliers present in activity recognition framework. Incremental RLS-TWSVM is proposed to speed up the training phase. Further, we introduce the hierarchical approach with RLS-TWSVM to deal with multi-category activity recognition problem. Computational comparisons of our proposed approach on four wellknown activity recognition datasets along with real world machine learning benchmark datasets have been carried out. Experimental results show that our method is not only fast but, yields significantly better generalization performance and is robust in order to handle heteroscedastic noise and outliers.
α-Glucosidase inhibitors and their use in clinical practice

Post-prandial hyperglycemia still remains a problem in the management of type 2 diabetes mellitus. Of all available anti-diabetic drugs, α-glucosidase inhibitors seem to be the most effective in reducing post-prandial hyperglycemia. We conducted a review analyzing the clinical efficacy and safety of α-glucosidase inhibitors, both alone and in combination with other anti-diabetic drugs, with respect to glycemic control, inflammation and atherosclerosis. α-Glucosidase inhibitors proved to be effective and safe both in monotherapy and as an add-on to other anti-diabetic drugs. Compared to miglitol and voglibose, acarbose seems to have some additive effects such as stabling carotid plaques, and reducing inflammation. Acarbose also proved to reverse impaired glucose tolerance to normal glucose tolerance.
Cloud Computing: Opportunities and Challenges

We live and operate in the world of computing and computers. The Internet has drastically changed the computing world from the concept of parallel computing to distributed computing to grid computing and now to cloud computing. Cloud computing is a new wave in the field of information technology. Some see it as an emerging field in computer science. It consists of a set of resources and services offered through the Internet. Hence, "cloud computing" is also called "Internet computing." The word "cloud" is a metaphor for describing the Web as a space where computing has been preinstalled and exists as a service. Operating systems, applications, storage, data, and processing capacity all exist on the Web, ready to be shared among users.  1 shows a conceptual diagram of cloud computing.
A fully matched LTE-A carrier aggregation quadplexer based on BAW and SAW technologies

An inter-band carrier aggregation (CA) quadplexer allows doubling the download rates and is therefore an important element in upcoming mobile phone systems. In a duplexer design, both Tx and Rx filters should behave like an open-circuit for respective counter-bands at the antenna port. Additionally, they have to attain high suppression in their counter-band to get good in-band isolation. The situation gets more difficult and challenging for a CA quadplexer. Besides an open-circuit requirement for now 3 bands simultaneously, each Tx filter should achieve high suppression in the frequency range of both Rx filters in order to get high in-band and cross-isolation. The same applies for each Rx filter. Generally, it is not sufficient to simply expand the well-known topology concepts of duplexers rather a different design methodology is required. In this paper we will discuss several approaches to realize a CA quadplexer and present an implementation of a B25-B4 CA quadplexer sized 3.6×2.0×0.8mm3 utilizing the company's advanced acoustic wave filtering technologies: bulk acoustic wave (BAW) and surface acoustic wave (SAW).
Making evolving design to perfection of high frequency inverter for induction heating applications: design of experiment approach

In the area of high frequency power electronics equipment design, transforming a design from one application to another could be a tedious job. Making a new design to meet the specification could also be time consuming and a complex activity. However, transforming a design has always a proven base for starting. Moreover, it helps reducing the manufacturing learning time significantly. In certain situations, the equipment/inverter is part of large automated environment. Automated process requires all its components/parts to be free from defects. Defects lead to rejection and, statistically, the risk for good quality is high. Quality engineering (QE) concepts such as design of experiments (DOE), Taguchi methods etc. help solving problems associating process quality. However, similar methods, with a collective approach, can help consolidating the design parameters in achieving robustness and the requisite quality of the end object. This article presents the usefulness of QE concepts such as design of experiments in transforming a design of a 2 KW, 70 KHz induction heating inverter to a 2 KW, 200 KHz inverter to be used for manufacturing a product for medical applications. This paper discusses how certain design issues (such as zero voltage switching of full-bridge inverters for ON-OFF applications) get strengthened through the help of DOE for an inverter used to heat catheters tube's ends. Above all, this paper will discuss the detailed journey of transforming a product design from one area of application to a product suitable for another application without virtually changing anything.
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision

Highly Autonomous Driving (HAD) systems rely on deep neural networks for the visual perception of the driving environment. Such networks are train on large manually annotated databases. In this work, a semi-parametric approach to one-shot learning is proposed, with the aim of bypassing the manual annotation step required for training perceptions systems used in autonomous driving. The proposed generative framework, coined Generative One-Shot Learning (GOL), takes as input single one-shot objects, or generic patterns, and a small set of so-called regularization samples used to drive the generative process. New synthetic data is generated as Pareto optimal solutions from one-shot objects using a set of generalization functions built into a generalization generator. GOL has been evaluated on environment perception challenges encountered in autonomous vision.
A Modular Multilevel Generic Pulse-Waveform Generator for Pulsed Electric Field Applications

High-voltage (HV) pulses are used in pulsed electric field (PEF) applications to provide an effective electroporation process, a process in which harmful microorganisms are disinfected when subjected to a PEF. Depending on the PEF application, different HV pulse specifications are required such as the pulse-waveform shape, the voltage magnitude, the pulse duration, and the pulse repetition rate. In this paper, a generic pulse-waveform generator (GPG) is proposed, and the GPG topology is based on half-bridge modular multilevel converter (HB-MMC) cells. The GPG topology is formed of four identical arms of series-connected HB-MMC cells forming an H-bridge. Unlike the conventional HB-MMC-based converters in HVdc transmission, the GPG load power flow is not continuous which leads to smaller size cell capacitors utilization; hence, smaller footprint of the GPG is achieved. The GPG topology flexibility allows the controller software to generate a basic multilevel waveform which can be manipulated to generate the commonly used PEF pulse waveforms. Therefore, the proposed topology offers modularity, redundancy, and scalability. The viability of the proposed GPG converter is validated by MATLAB/Simulink simulation and experimentation.
Stimulus-related priming during task switching.

Task switch cost (the deficit of performing a new task vs. a repeated task) has been partly attributed to priming of the repeated task, as well as to inappropriate preparation for the switched task. In the present study, we examined the nature of the priming effect by repeating stimulus-related processes, such as stimulus encoding or stimulus identification. We adopted a partial-overlap task-switching paradigm, in which only stimulus-related processes should be repeated or switched. The switch cost in this partial-overlap condition was smaller than the cost in the full-overlap condition, in which the task overlap involved more than stimulus processing, indicating that priming of a stimulus is a component of a switch cost. The switch cost in the partial-overlap condition, however, disappeared eventually with a long interval between two tasks, whereas the cost in the full-overlap condition remained significant. Moreover, the switch cost, in general, did not interact with foreknowledge, suggesting that preparation on the basis of foreknowledge may be related to processes beyond stimulus encoding. These results suggest that stimulus-related priming is automatic and short-lived and, therefore, is not a part of the persisting portion of switch cost.
Image Halftoning by Error Diffusion: A Survey of Methods for Artifact Reduction

Grayscale error di usion introduces nonlinear distortion (directional artifacts and false textures), linear distortion (sharpening), and additive noise. In color error di usion what color to render is a major concern in addition to nding optimal dot patterns. This article presents a survey of key methods for artifact reduction in grayscale and color error di usion. The linear gain model by Kite et al. replaces the thresholding quantizer with a scalar gain plus additive noise. They show that the sharpening is proportional to the scalar gain. Kite et al. derive the sharpness control parameter value in threshold modulation (Eschbach and Knox, 1991) to compensate linear distortion. False textures at mid-gray (Fan and Eschbach, 1994) are due to limit cycles, which can be broken up by using a deterministic bit ipping quantizer (Damera-Venkata and Evans, 2001). Several other variations on grayscale error di usion have been proposed to reduce false textures in shadow and highlight regions, including green noise halftoning (Levien, 1993) and tone-dependent error di usion (Li and Allebach, 2002). Color error di usion ideally requires the quantization error to be di used to frequencies and colors, to which the HVS is least sensitive. We review the following approaches: color plane separable (Kolpatzik and Bouman 1992) design; perceptual quantization (Shaked et al. 1996, Haneishi et al. 1996) ; green noise extensions (Lau et al. 2000); and matrix-valued error lters (Damera-Venkata and Evans, 2001).
20 Years of Research on Socioeconomic Inequality and  Children's—Unintentional Injuries Understanding  the Cause-Specific Evidence at Hand

Injuries are one of the major causes of both death and social inequalities in health in children. This paper reviews and reflects on two decades of empirical studies (1990 to 2009) published in the peer-reviewed medical and public health literature on socioeconomic disparities as regards the five main causes of childhood unintentional injuries (i.e., traffic, drowning, poisoning, burns, falls). Studies have been conducted at both area and individual levels, the bulk of which deal with road traffic, burn, and fall injuries. As a whole and for each injury cause separately, their results support the notion that low socioeconomic status is greatly detrimental to child safety but not in all instances and settings. In light of variations between causes and, within causes, between settings and countries, it is emphasized that the prevention of inequities in child safety requires not only that proximal risk factors of injuries be tackled but also remote and fundamental ones inherent to poverty.
Code Churn: A Neglected Metric in Effort-Aware Just-in-Time Defect Prediction

An increasing research effort has devoted to just-in-time (JIT) defect prediction. A recent study by Yang et al. at FSE'16 leveraged individual change metrics to build unsupervised JIT defect prediction model. They found that many unsupervised models performed similarly to or better than the state-of-the-art supervised models in effort-aware JIT defect prediction.  In Yang et al.'s study, code churn (i.e. the change size of a code change) was neglected when building unsupervised defect prediction models. In this study, we aim to investigate the effectiveness of code churn based unsupervised defect prediction model in effort-aware JIT defect prediction.  Consistent with Yang et al.'s work, we first use code churn to build a code churn based unsupervised model (CCUM). Then, we evaluate the prediction performance of CCUM against the state-of-the-art supervised and unsupervised models under the following three prediction settings: cross-validation, time-wise cross-validation, and cross-project prediction.  In our experiment, we compare CCUM against the state-of-the-art supervised and unsupervised JIT defect prediction models. Based on six open-source projects, our experimental results show that CCUM performs better than all the prior supervised and unsupervised models.  The result suggests that future JIT defect prediction studies should use CCUM as a baseline model for comparison when a novel model is proposed.
A Novel Low power and Area Efficient Carry-Lookahead Adder Using MOD-GDI Technique

Adders are given a fundamental importance in a wide variety of digital systems. Many improvements have been made to reduce the architectures of adders. The proposed method aims on Modified Gate diffusion input (MOD-GDI) which is a low power technique to design any digital system. This technique has been adopted from (GDI) Gate Diffusion Input low power digital circuit design technique. The Mod-GDI technique which allows in reducing delay, power consumption and area of digital circuits, while maintaining functionality of logic design. This paper presents the Performance comparisons on low power techniques of basic combinational logic functions and to state that the proposed Modified Gate Diffusion Input logic (Mod-GDI) to be more power-efficient than the CMOS logic design. This paper also presents a novel structure of Carry-Lookahead Adder (CLA) using the primitive gates which are designed by MOD-GDI technique. This technique can be used to reduce the number of transistors compared to conventional CLA design. The design of the 8-bit CLA is primarily introduced and then the 16-bit CLA is followed. The designs are simulated using Mentor Graphics tool with a supply voltage of 1.8V at 90nm Process technology.
Language, Translation, and Culture

"Culture is widening of the mind and of the spirit." Jawaharlal Nehru Abstract. Language is a phenomenon and a factor that links different cultures and a way of expressing feelings and ideas that people try to convey. We are going to study the main roles of translation in transferring cultural concepts between two or more languages and some barriers or difficulties that translators face in this process. We know that translation plays an important role of crossing through different cultures and communication. Therefore translation is one of the essential, fundamental, and adequate ways in transferring culture, but there are some limitations such as censorship and even culture itself. This paper also aimed to represent some barriers in the process of translation. A good translator should simultaneously be aware of the cultural factors, views and tradition in order to consciously consider the chronological orders, explicit meaning, development of related disciplines, historical and religious background of the source text. Finally, it is essential to evoke the same response as the source text attempted to and avoid inserting irrelevant new words into language used by people. All these factors must be taken into account in translating process.
A smart market for passenger road transport ( SMPRT ) congestion : an application of computational mechanism design

To control and price negative externalities in passenger road transport, we develop an innovative and integrated computational agent based economics (ACE) model to simulate a market oriented “cap” and trade system. (i) First, there is a computational assessment of a digitized road network model of the real world congestion hot spot to determine the “cap” of the system in terms of vehicle volumes at which traffic efficiency deteriorates and the environmental externalities take off exponentially. (ii) Road users submit bids with the market clearing price at the fixed “cap” supply of travel slots in a given time slice (peak hour) being determined by an electronic sealed bid uniform price Dutch auction. (iii) Cross-sectional demand data on car users who traverse the cordon area is used to model and calibrate the heterogeneous bid submission behaviour in order to construct the inverse demand function and demand elasticities. (iv) The willingness to pay approach with heterogeneous value of time is contrasted with the generalized cost approach to pricing congestion with homogenous value of travel time.
Further steps towards efficient runtime verification: Handling probabilistic cost models

We consider high-level models that specify system behaviors probabilistically and support the specification of cost attributes. Specifically, we focus on Discrete Time Markov Reward Models (D-MRMs), i.e. state machines where probabilities can be associated with transitions and rewards (costs) can be associated with states and transitions. Through probabilities we model assumptions on the behavior of environment in which an application is embedded. Rewards can instead model the cost assumptions involved in the system's operations. A system is designed to satisfy the requirements, under the given assumptions. Design-time assumptions, however, can turn out to be invalid at runtime, and therefore it is necessary to verify whether changes may lead to requirements violations. If they do, it is necessary to adapt the behavior in a self-healing manner to continue to satisfy the requirements. We have previously presented an approach to support efficient runtime probabilistic model checking of DTMCs for properties expressed in  In this paper we extend the approach to D-MRMs and reward properties. The benefits of the approach are justified both theoretically and empirically on significant test cases.
Chronic Traumatic Encephalopathy in Contact Sports: A Systematic Review of All Reported Pathological Cases

Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease associated with head trauma. Although initially believed to affect only boxers, the at-risk population has expanded to encompass a much wider demographic, including American football players, hockey players, wrestlers, and military veterans. This expansion has garnered considerable media attention and public concern for the potential neurodegenerative effects of head trauma. The main aim of this systematic review is to give a complete overview of the common findings and risk factors for CTE as well as the status quo regarding the incidence and prevalence of CTE. This systematic review was performed using PubMed and MEDLINE and includes all neuropathologically confirmed cases of CTE in the medical literature to date, from the first published case in 1954 to August 1, 2013 (n = 153). The demographics, including the primary source of mTBI (mild Traumatic Brain Injury), age and cause of death, ApoE genotype, and history of substance abuse, when listed, were obtained from each case report. The demographics of American football players found to have CTE are also presented separately in order to highlight the most prevalent group of CTE cases reported in recent years. These 153 case reports of CTE represent the largest collection to date. We found that a history of mTBI was the only risk factor consistently associated with CTE. In addition, we found no relationships between CTE and age of death or abnormal ApoE allele. Suicide and the presence of premorbid dementia was not strongly associated with CTE. We conclude that the incidence of CTE remains unknown due to the lack of large, longitudinal studies. Furthermore, the neuropathological and clinical findings related to CTE overlap with many common neurodegenerative diseases. Our review reveals significant limitations of the current CTE case reporting and questions the widespread existence of CTE in contact sports.
For Table of Contents use only Exciton Dynamics in Phthalocyanine Molecular Crystals

In this paper, the exciton transport properties of an octa(butyl)-substituted metal-free phthalocyanine (H2-OBPc) molecular crystal have been explored by means of a combined computational (molecular dynamics and electronic structure calculations) and theoretical (model Hamiltonian) approximation. The excitonic couplings in phthalocyanines, where multiple quasi-degenerate excited states are present in the isolated chromophore, are computed with a multistate diabatization scheme which is able to capture both shortand long-range excitonic coupling effects. Thermal motions in phthalocyanine molecular crystals at room temperature cause substantial fluctuation of the excitonic couplings between neighboring molecules (dynamic disorder). The average values of the excitonic couplings are found to be not much smaller than the reorganization energy for the excitation energy transfer and the commonly assumed incoherent regime for this class of materials cannot be invoked. A simple but realistic model Hamiltonian is proposed to study the exciton dynamics in phthalocyanine molecular crystals or aggregates beyond the incoherent regime.