nils-herrmann/clean_scirepeval huggingface dataset:
Analytics using metadata associations for digital investigations

Rapid advancements in technology coupled with drastic reduction in cost of storage have resulted in tremendous increase in the volumes of stored data. As a consequence, analysts find it hard to cope with the rates of data arrival and the volume of data, despite the availability of many automated tools. In a digital investigation context where it is necessary to obtain information that led to a security breach and corroborate them is the contemporary challenge. Traditional techniques that rely on keyword based search fall short of interpreting data relationships and causality that is inherent to the artifacts, present across one or more sources of information. The problem of handling very large volumes of data, and discovering the associations among the data, emerges as an important contemporary challenge. The work reported in this paper is based on the use of metadata associations and eliciting the inherent relationships. We study the metadata associations methodology and introduce the algorithms to group artifacts. We establish that grouping artifacts based on metadata can provide a volume reduction of at least $$ {\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 {2M}}}\right.\kern-0pt} \!\lower0.7ex\hbox{${2M}$}} $$ 1 2 M , even on a single source, where M is the largest number of metadata associated with an artifact in that source. The value of M is independent of inherently available metadata on any given source. As one understands the underlying data better, one can further refine the value of M iteratively thereby enhancing the volume reduction capabilities. We also establish that such reduction in volume is independent of the distribution of metadata associations across artifacts in any given source. We systematically develop the algorithms necessary to group artifacts on an arbitrary collection of sources and study the complexity.
Experimental Measurements and Computer Simulations of FL and CFL for Harmonic Studies

Due to poor efficiencies of Incandescent Lamps (ILs), Fluorescent Lamps (FLs) and Compact Fluorescent Lamps (CFLs) are increasingly used in residential and commercial applications. This proliferation of FLs and CFLs increases the harmonics level in distribution systems that could affect power systems and end users. In order to quantify the harmonics produced by FLs and CFLs precisely, accurate modelling of these loads are required. Matlab Simulink is used to model and simulate the full models of FLs and CFLs to give close results to the experimental measurements. Moreover, a Constant Load Power (CLP) model is also modelled and its results are compared with the full models of FLs and CFLs. This CLP model is much faster to simulate and easier to model than the full model. Such models help engineers and researchers to evaluate the harmonics exist within households and commercial buildings.
Cycloalkyl-AminoMethylRhodamines: pH Dependent Photophysical Properties Tuned by Cycloalkane Ring Size

A series of fluorescent pH probes based on the spiro-cyclic rhodamine core, aminomethylrhodamines (AMR), was synthesized and the effect of cycloalkane ring size on the acid/base properties of the AMR system was explored. The study involved a series of rhodamine 6G (cAMR6G) and rhodamine B (cAMR) pH probes with cycloalkane ring sizes from C-3 to C-6 on the spiro-cyclic amino group. It is known that the pKa value of cycloalkylamines can be tuned by different ring sizes in accordance with the Baeyer ring strain theory. Smaller ring amines have lower pKa value, i.e., they are less basic, such that the relative order in cycloalkylamine basicity is: cyclohexyl > cyclopentyl > cyclobutyl > cyclopropyl. Herein, it was found that the pKa values of the cAMR and cAMR6G systems can also be predicted by Baeyer ring strain theory. The pKa values for the cAMR6G series were shown to be higher than the cAMR series by a value of approximately 1.
A 22-gb/s PAM-4 receiver in 90-nm CMOS SOI technology

We report a receiver for four-level pulse-amplitude modulated (PAM-4) encoded data signals, which was measured to receive data at 22 Gb/s with a bit error rate (BER) <10/sup -12/ at a maximum frequency deviation of 350 ppm and a 2/sup 7/-1 PRBS pattern. We propose a bit-sliced architecture for the data path, and a novel voltage shifting amplifier to introduce a programmable offset to the differential data signal. We present a novel method to characterize sampling latches and include them in the data path. A current-mode logic (CML) biasing scheme using programmable matched resistors limits the effect of process variations. The receiver also features a programmable signal termination, an analog equalizer and offset compensation for each sampling latch. The measured current consumption is 207 mA from a 1.1-V supply, and the active chip area is 0.12 mm/sup 2/.
Do intermittent diets provide physiological benefits over continuous diets for weight loss? A systematic review of clinical trials

Energy restriction induces physiological effects that hinder further weight loss. Thus, deliberate periods of energy balance during weight loss interventions may attenuate these adaptive responses to energy restriction and thereby increase the efficiency of weight loss (i.e. the amount of weight or fat lost per unit of energy deficit). To address this possibility, we systematically searched MEDLINE, PreMEDLINE, PubMed and Cinahl and reviewed adaptive responses to energy restriction in 40 publications involving humans of any age or body mass index that had undergone a diet involving intermittent energy restriction, 12 with direct comparison to continuous energy restriction. Included publications needed to measure one or more of body weight, body mass index, or body composition before and at the end of energy restriction. 31 of the 40 publications involved 'intermittent fasting' of 1-7-day periods of severe energy restriction. While intermittent fasting appears to produce similar effects to continuous energy restriction to reduce body weight, fat mass, fat-free mass and improve glucose homeostasis, and may reduce appetite, it does not appear to attenuate other adaptive responses to energy restriction or improve weight loss efficiency, albeit most of the reviewed publications were not powered to assess these outcomes. Intermittent fasting thus represents a valid--albeit apparently not superior--option to continuous energy restriction for weight loss.
An Intelligent Fuzzy Control for Crossroads Traffic Light

The fuzzy control algorithm that carries on the intelligent control twelve phases three traffic lanes single crossroads traffic light, works well in the real-time traffic flow under flexible operation. The procedures can be described as below: first, the number of vehicles of all the lanes can be received through the sensor, and the phase with the largest number is stipulated to be highest priority, while the phase turns to the next one from the previous, it transfers into the highest priority. Then the best of the green light delay time can be figured out under the fuzzy rules reasoning on the current waiting formation length and general formation length. The simulation result indicates the fuzzy control method on vehicle delay time compared with the traditional timed control method is greatly improved.
Multi-Hypervisor Virtual Machines: Enabling an Ecosystem of Hypervisor-level Services

Public cloud software marketplaces already offer users a wealth of choice in operating systems, database management systems, financial software, and virtual networking, all deployable and configurable at the click of a button. Unfortunately, this level of customization has not extended to emerging hypervisor-level services, partly because traditional virtual machines (VMs) are fully controlled by only one hypervisor at a time. Currently, a VM in a cloud platform cannot concurrently use hypervisorlevel services from multiple third-parties in a compartmentalized manner. We propose the notion of a multihypervisor VM, which is an unmodified guest that can simultaneously use services from multiple coresident, but isolated, hypervisors. We present a new virtualization architecture, called Span virtualization, that leverages nesting to allow multiple hypervisors to concurrently control a guest’s memory, virtual CPU, and I/O resources. Our prototype of Span virtualization on the KVM/QEMU platform enables a guest to use services such as introspection, network monitoring, guest mirroring, and hypervisor refresh, with performance comparable to traditional nested VMs.
Simultaneous Electromagnetic Tracking and Calibration for Dynamic Field Distortion Compensation

Electromagnetic (EM) tracking systems are highly susceptible to field distortion. The interference can cause measurement errors up to a few centimeters in clinical environments, which limits the reliability of these systems. Unless corrected for, this measurement error imperils the success of clinical procedures. It is therefore fundamental to dynamically calibrate EM tracking systems and compensate for measurement error caused by field distorting objects commonly present in clinical environments. We propose to combine a motion model with observations of redundant EM sensors and compensate for field distortions in real time. We employ a simultaneous localization and mapping technique to accurately estimate the pose of the tracked instrument while creating the field distortion map. We conducted experiments with six degrees-of-freedom motions in the presence of field distorting objects in research and clinical environments. We applied our approach to improve the EM tracking accuracy and compared our results to a conventional sensor fusion technique. Using our approach, the maximum tracking error was reduced by 67% for position measurements and by 64% for orientation measurements. Currently, clinical applications of EM trackers are hampered by the adverse distortion effects. Our approach introduces a novel method for dynamic field distortion compensation, independent from preoperative calibrations or external tracking devices, and enables reliable EM navigation for potential applications.
Demographics and Dynamics of Mechanical Turk Workers

We present an analysis of the population dynamics and demographics of Amazon Mechanical Turk workers based on the results of the survey that we conducted over a period of 28 months, with more than 85K responses from 40K unique participants. The demographics survey is ongoing (as of November 2017), and the results are available at http://demographics.mturk-tracker.com: we provide an API for researchers to download the survey data. We use techniques from the field of ecology, in particular, the capture-recapture technique, to understand the size and dynamics of the underlying population. We also demonstrate how to model and account for the inherent selection biases in such surveys. Our results indicate that there are more than 100K workers available in Amazon»s crowdsourcing platform, the participation of the workers in the platform follows a heavy-tailed distribution, and at any given time there are more than 2K active workers. We also show that the half-life of a worker on the platform is around 12-18 months and that the rate of arrival of new workers balances the rate of departures, keeping the overall worker population relatively stable. Finally, we demonstrate how we can estimate the biases of different demographics to participate in the survey tasks, and show how to correct such biases. Our methodology is generic and can be applied to any platform where we are interested in understanding the dynamics and demographics of the underlying user population.
DNA hypomethylation and human diseases.

Changes in human DNA methylation patterns are an important feature of cancer development and progression and a potential role in other conditions such as atherosclerosis and autoimmune diseases (e.g., multiple sclerosis and lupus) is being recognised. The cancer genome is frequently characterised by hypermethylation of specific genes concurrently with an overall decrease in the level of 5 methyl cytosine. This hypomethylation of the genome largely affects the intergenic and intronic regions of the DNA, particularly repeat sequences and transposable elements, and is believed to result in chromosomal instability and increased mutation events. This review examines our understanding of the patterns of cancer-associated hypomethylation, and how recent advances in understanding of chromatin biology may help elucidate the mechanisms underlying repeat sequence demethylation. It also considers how global demethylation of repeat sequences including transposable elements and the site-specific hypomethylation of certain genes might contribute to the deleterious effects that ultimately result in the initiation and progression of cancer and other diseases. The use of hypomethylation of interspersed repeat sequences and genes as potential biomarkers in the early detection of tumors and their prognostic use in monitoring disease progression are also examined.
User Movement Prediction: The Contribution of Machine Learning Techniques

Ambient Assisted Living (AAL) aims to increase the time older people or disabled people can live in their home environment by assisting them in performing activities of daily living by the use of intelligent products. Localization and tracking of users in indoor environment are the main components of AAL. Wireless sensor networks is an effective technology to accomplish these services by using Received Signal Strength (RSS) information. This work seeks to investigate the effect of machine learning techniques on the accuracy of user movement prediction. Five base classifiers and two ensemble learning approaches are employed and the results are evaluated in terms of precision recall, and F-measure. A real-life benchmark dataset in the area of AAL is used for evaluation. The results show that J48 is the best performing model compared to the other base-level classifiers. It also shows that Bagged J48 achieves the best performance.
Whatsapp and Facebook as a New Political Agora?

This research tries to know how the political interaction of the citizens from the center of Ecuador is on the Internet. Every day more people use new technologies in order to learn about political issues. Virtual media allow different forms of citizen participation, making the traditional ones such as television, radio o written press to be obsolete. Through an online questionnaire, people were asked about the use of the political information in the different channels, and especially, about their participation in the last election campaign of 2017. The results show different patterns according to factors such as gender, age or occupation, confirming a panorama of transition between offline and online media.
Image-Based Synthesis for Deep 3D Human Pose Estimation

This paper addresses the problem of 3D human pose estimation in the wild. A significant challenge is the lack of training data, i.e., 2D images of humans annotated with 3D poses. Such data is necessary to train state-of-the-art CNN architectures. Here, we propose a solution to generate a large set of photorealistic synthetic images of humans with 3D pose annotations. We introduce an image-based synthesis engine that artificially augments a dataset of real images with 2D human pose annotations using 3D motion capture data. Given a candidate 3D pose, our algorithm selects for each joint an image whose 2D pose locally matches the projected 3D pose. The selected images are then combined to generate a new synthetic image by stitching local image patches in a kinematically constrained manner. The resulting images are used to train an end-to-end CNN for full-body 3D pose estimation. We cluster the training data into a large number of pose classes and tackle pose estimation as a K-way classification problem. Such an approach is viable only with large training sets such as ours. Our method outperforms most of the published works in terms of 3D pose estimation in controlled environments (Human3.6M) and shows promising results for real-world images (LSP). This demonstrates that CNNs trained on artificial images generalize well to real images. Compared to data generated from more classical rendering engines, our synthetic images do not require any domain adaptation or fine-tuning stage.
N-SIFT: N-DIMENSIONAL SCALE INVARIANT FEATURE TRANSFORM FOR MATCHING MEDICAL IMAGES

We present a fully automated multimodal medical image matching technique. Our method extends the concepts used in the computer vision SIFT technique for extracting and matching distinctive scale invariant features in 2D scalar images to scalar images of arbitrary dimensionality. This extension involves using hyperspherical coordinates for gradients and multidimensional histograms to create the feature vectors. These features were successfully applied to determine accurate feature point correspondence between pairs of medical images (3D) and dynamic volumetric data (3D+time).
Maintainability of the Linux kernel

We have examined 365 versions of Linux. For every versio n, we counted the number of instances of common (global) coupling between each of the 17 kernel modules and all the other modules in that version of Linux. We found that the num ber of instances of common coupling grows exponentially with version number. This result is significant at the 99.99% level, and no additional variables are needed to explain this increase. On the other hand, the number of lines of code in each kernel modules grows only linearly with v ersion number. We conclude that, unless Linux is restructured with a bare minimum of common c upling, the dependencies induced by common coupling will, at some future date, make Linu x exceedingly hard to maintain without inducing regression faults.
Hamartome lipomateux superficiel de Hoffmann-Zurhelle

L'hamartome lipomateux superficiel de Hoffmann-Zurhelle est une tumeur bénigne souvent congénitale. Histologiquement, il est caractérisé par la présence hétérotopique de cellules adipeuses quelquefois lipoblastiques autour des trajets vasculaires dermiques. Nous rapportons une nouvelle observation de forme multiple à révélation tardive chez une femme âgée de 31 ans sans antécédents pathologiques notables qui a été adressée à la consultation pour des papules et tumeurs asymptomatiques de couleur chaire se regroupent en placards à disposition linéaire et zostèriforme au niveau de la face externe de la cuisse droite depuis l'âge de 13 ans, augmentant progressivement de taille. L'étude histologique d'un fragment biopsique avait montré un épiderme régulier, plicaturé et kératinisant, soulevé par un tissu fibro-adipeux abondant incluant quelques vaisseaux sanguins aux dépens du derme moyen. Ces données cliniques et histologiques ont permis de retenir le diagnostic d'hamartome lipomateux superficiel. Une exérèse chirurgicale des tumeurs de grande taille a été proposée complété par le laser CO2 pour le reste de lésions cutanées. L'hamartome lipomateux superficiel est une lésion bénigne sans potentiel de malignité. L'exérèse chirurgicale peut être proposée si la lésion est gênante ou dans un but essentiellement esthétique. Pan African Medical Journal. 2015; 21:31 doi:10.11604/pamj.2015.21.31.4773 This article is available online at: http://www.panafrican-med-journal.com/content/article/21/31/full/
MakerShoe: towards a wearable e-textile construction kit to support creativity, playful making, and self-expression

Electronic textile (e-textile) toolkits have been successful in broadening participation in STEAM-related activities, in expanding perceptions of computing, and in engaging users in creative, expressive, and meaningful digital-physical design. While a range of well-designed e-textile toolkits exist (e.g., LilyPad), they cater primarily to adults and older children and have a high barrier of entry for some users. We are investigating new approaches to support younger children (K-4) in the creative design, play, and customization of e-textiles and wearables without requiring the creation of code. This demo paper presents one such example of ongoing work: MakerShoe, an e-textile platform for designing shoe-based interactive wearable experiences. We discuss our two participatory design sessions as well as our initial prototype, which uses single-function magnetically attachable electronic modules to support circuit creation and the design of responsive, interactive behaviors.
A Multiscalar Drought Index Sensitive to Global Warming : The Standardized Precipitation Evapotranspiration Index

The authors propose a new climatic drought index: the standardized precipitation evapotranspiration index (SPEI). The SPEI is based on precipitation and temperature data, and it has the advantage of combining multiscalar character with the capacity to include the effects of temperature variability on drought assessment. The procedure to calculate the index is detailed and involves a climatic water balance, the accumulation of deficit/surplus at different time scales, and adjustment to a log-logistic probability distribution. Mathematically, the SPEI is similar to the standardized precipitation index (SPI), but it includes the role of temperature. Because the SPEI is based on a water balance, it can be compared to the self-calibrated Palmer drought severity index (sc-PDSI). Time series of the three indices were compared for a set of observatories with different climate characteristics, located in different parts of the world. Under global warming conditions, only the sc-PDSI and SPEI identified an increase in drought severity associated with higher water demand as a result of evapotranspiration. Relative to the sc-PDSI, the SPEI has the advantage of being multiscalar, which is crucial for drought analysis and monitoring.
HEGEMONIC MASCULINITY Rethinking the Concept

The concept of hegemonic masculinity has influenced gender studies across many academic fields but has also attracted serious criticism. The authors trace the origin of the concept in a convergence of ideas in the early 1980s and map the ways it was applied when research on men and masculinities expanded. Evaluating the principal criticisms, the authors defend the underlying concept of masculinity, which in most research use is neither reified nor essentialist. However, the criticism of trait models of gender and rigid typologies is sound. The treatment of the subject in research on hegemonic masculinity can be improved with the aid of recent psychological models, although limits to discursive flexibility must be recognized. The concept of hegemonic masculinity does not equate to a model of social reproduction; we need to recognize social struggles in which subordinated masculinities influence dominant forms. Finally, the authors review what has been confirmed from early formulations (the idea of multiple masculinities, the concept of hegemony, and the emphasis on change) and what needs to be discarded (onedimensional treatment of hierarchy and trait conceptions of gender). The authors suggest reformulation of the concept in four areas: a more complex model of gender hierarchy, emphasizing the agency of women; explicit recognition of the geography of masculinities, emphasizing the interplay among local, regional, and global levels; a more specific treatment of embodiment in contexts of privilege and power; and a stronger emphasis on the dynamics of hegemonic masculinity, recognizing internal contradictions and the possibilities of movement toward gender democracy.