nils-herrmann/clean_scirepeval huggingface dataset:
Men Are from Mars, Women Are from Venus? Examining Gender Differences in Self-Presentation on Social Networking Sites

Psychological research on gender differences in self-presentation has already revealed that women place higher priority on creating a positive self-presentation, while men are less concerned about the image they present in face-to-face (ftf) communication. Nowadays, with the extensive use of new media, self-presentation is no longer so closely tied to ftf situations, but can also take place in the online world. Specifically, social networking sites (SNS), such as Facebook or MySpace, offer various features such as profile pictures, groups, and virtual bulletin boards with which users can create elaborated online representations of themselves. What remains open is whether this virtual self-presentation on SNS is subject to gender differences. Based on studies emphasizing gender-related differences in Internet communication and behavior in general, it can be assumed that men and women have different motives regarding their SNS usage as well. A multimethodological study, combining results of an online survey and a content analysis of 106 user profiles, assessed users' diverse motives for participating in SNS in general, and their use of specific profile elements or self-presentation in particular. In this sample of StudiVZ users, women tend to be more likely to use SNS for comparing themselves with others and for searching for information. Men, on the other hand, are more likely to look at other people's profiles to find friends. Moreover, women tend to use group names for their self-presentation and prefer adding portrait photos to their profiles, while men choose full-body shots.
A 2.4 GHz Interferer-Resilient Wake-Up Receiver Using A Dual-IF Multi-Stage N-Path Architecture

A 2.4 GHz interferer-resilient wake-up receiver for ultra-low power wireless sensor nodes uses an uncertain-IF dualconversion topology, combining a distributed multi-stage N-path filtering technique with an unlocked low-Q resonator-referred local oscillator. This structure provides narrow-band selectivity and strong immunity against interferers, while avoiding expensive external resonant components such as BAW resonators or crystals. The 65 nm CMOS receiver prototype provides a sensitivity of -97 dBm and a carrier-to-interferer ratio better than -27 dB at 5 MHz offset, for a data rate of 10 kb/s at a 10-3 bit error rate, while consuming 99 μW from a 0.5 V voltage supply under continuous operation.
Wearable impedance analyzer based on AD5933

In this paper a system for measuring impedance, based on AD5933 circuit is presented. The impedance measuring range is between 9 Ω and 18 MΩ for a 1 kHz ÷ 100 kHz frequency range. Possibilities of expanding this range of measurement are also presented in the paper. The system calibration is automatic and the relative error of the impedance modulus measurement is in the range ±2%. Measured impedance main parameters are shown locally on an OLED display but can also be stored in an SD memory card for further processing. The system is portable, modular and adaptable to a large number of applications.
Cryptanalysis of DES Implemented on Computers with Cache

This paper presents the results of applying an attack against the Data Encryption Standard (DES) implemented in some applications, using side-channel information based on CPU delay as proposed in [11]. This cryptanalysis technique uses side-channel information on encryption processing to select and collect effective plaintexts for cryptanalysis, and infers the information on the expanded key from the collected plaintexts. On applying this attack, we found that the cipher can be broken with 2 known plaintexts and 2 calculations at a success rate > 90%, using a personal computer with 600-MHz Pentium III. We discuss the feasibility of cache attack on ciphers that need many S-box look-ups, through reviewing the results of our experimental attacks on the block ciphers excluding DES, such as AES.
Automating hierarchical document classification for construction management information systems

The widespread use of information technologies for construction is considerably increasing the number of electronic text documents stored in construction management information systems. Consequently, automated methods for organizing and improving the access to the information contained in these types of documents become essential to construction information management. This paper describes a methodology developed to improve information organization and access in construction management information systems based on automatic hierarchical classification of construction project documents according to project components. A prototype system for document classification is presented, as well as the experiments conducted to verify the feasibility of the proposed approach. D 2003 Elsevier Science B.V. All rights reserved.
Validation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria.

The inclusion of Internet Gaming Disorder (IGD) in the DSM-5 (Section 3) has given rise to much scholarly debate regarding the proposed criteria and their operationalization. The present study's aim was threefold: to (i) develop and validate a brief psychometric instrument (Ten-Item Internet Gaming Disorder Test; IGDT-10) to assess IGD using definitions suggested in DSM-5, (ii) contribute to ongoing debate regards the usefulness and validity of each of the nine IGD criteria (using Item Response Theory [IRT]), and (iii) investigate the cut-off threshold suggested in the DSM-5.



An online gamer sample of 4887 gamers (age range 14-64years, mean age 22.2years [SD=6.4], 92.5% male) was collected through Facebook and a gaming-related website with the cooperation of a popular Hungarian gaming magazine. A shopping voucher of approx. 300 Euros was drawn between participants to boost participation (i.e., lottery incentive). Confirmatory factor analysis and a structural regression model were used to test the psychometric properties of the IGDT-10 and IRT analysis was conducted to test the measurement performance of the nine IGD criteria. Finally, Latent Class Analysis along with sensitivity and specificity analysis were used to investigate the cut-off threshold proposed in the DSM-5.



Analysis supported IGDT-10's validity, reliability, and suitability to be used in future research. Findings of the IRT analysis suggest IGD is manifested through a different set of symptoms depending on the level of severity of the disorder. More specifically, "continuation", "preoccupation", "negative consequences" and "escape" were associated with lower severity of IGD, while "tolerance", "loss of control", "giving up other activities" and "deception" criteria were associated with more severe levels. "Preoccupation" and "escape" provided very little information to the estimation IGD severity. Finally, the DSM-5 suggested threshold appeared to be supported by our statistical analyses.



IGDT-10 is a valid and reliable instrument to assess IGD as proposed in the DSM-5. Apparently the nine criteria do not explain IGD in the same way, suggesting that additional studies are needed to assess the characteristics and intricacies of each criterion and how they account to explain IGD.
PinMe: Tracking a Smartphone User around the World

With the pervasive use of smartphones that sense, collect, and process valuable information about the environment, ensuring location privacy has become one of the most important concerns in the modern age. A few recent research studies discuss the feasibility of processing sensory data gathered by a smartphone to locate the phone’s owner, even when the user does not intend to share his location information, e.g., when the user has turned off the Global Positioning System (GPS) on the device. Previous research efforts rely on at least one of the two following fundamental requirements, which impose significant limitations on the adversary: (i) the attacker must accurately know either the user’s initial location or the set of routes through which the user travels and/or (ii) the attacker must measure a set of features, e.g., device acceleration, for different potential routes in advance and construct a training dataset. In this paper, we demonstrate that neither of the above-mentioned requirements is essential for compromising the user’s location privacy. We describe PinMe, a novel user-location mechanism that exploits non-sensory/sensory data stored on the smartphone, e.g., the environment’s air pressure and device’s timezone, along with publicly-available auxiliary information, e.g., elevation maps, to estimate the user’s location when all location services, e.g., GPS, are turned off. Unlike previously-proposed attacks, PinMe neither requires any prior knowledge about the user nor a training dataset on specific routes. We demonstrate that PinMe can accurately estimate the user’s location during four activities (walking, traveling on a train, driving, and traveling on a plane). We also suggest several defenses against the proposed attack.
Detecting epistasis in human complex traits

Genome-wide association studies (GWASs) have become the focus of the statistical analysis of complex traits in humans, successfully shedding light on several aspects of genetic architecture and biological aetiology. Single-nucleotide polymorphisms (SNPs) are usually modelled as having additive, cumulative and independent effects on the phenotype. Although evidently a useful approach, it is often argued that this is not a realistic biological model and that epistasis (that is, the statistical interaction between SNPs) should be included. The purpose of this Review is to summarize recent directions in methodology for detecting epistasis and to discuss evidence of the role of epistasis in human complex trait variation. We also discuss the relevance of epistasis in the context of GWASs and potential hazards in the interpretation of statistical interaction terms.
Programmable self-assembly in a thousand-robot swarm

Self-assembly enables nature to build complex forms, from multicellular organisms to complex animal structures such as flocks of birds, through the interaction of vast numbers of limited and unreliable individuals. Creating this ability in engineered systems poses challenges in the design of both algorithms and physical systems that can operate at such scales. We report a system that demonstrates programmable self-assembly of complex two-dimensional shapes with a thousand-robot swarm. This was enabled by creating autonomous robots designed to operate in large groups and to cooperate through local interactions and by developing a collective algorithm for shape formation that is highly robust to the variability and error characteristic of large-scale decentralized systems. This work advances the aim of creating artificial swarms with the capabilities of natural ones.
Deep Kernelized Autoencoders

In this paper we introduce the deep kernelized autoencoder, a neural network model that allows an explicit approximation of (i) the mapping from an input space to an arbitrary, user-specified kernel space and (ii) the back-projection from such a kernel space to input space. The proposed method is based on traditional autoencoders and is trained through a new unsupervised loss function. During training, we optimize both the reconstruction accuracy of input samples and the alignment between a kernel matrix given as prior and the inner products of the hidden representations computed by the autoencoder. Kernel alignment provides control over the hidden representation learned by the autoencoder. Experiments have been performed to evaluate both reconstruction and kernel alignment performance. Additionally, we applied our method to emulate kPCA on a denoising task obtaining promising results.
A staircase hexagonal shaped microstrip patch antenna for multiband applications

As seeing the more demand of multiband antennas for wireless communication, this Staircase-Hexagonal shaped antenna has designed. The merit of antenna eight resonance frequencies are 3.13 GHz, 8.89 GHz, 10.69 GHz, 16.79 GHz, 20.37 GHz, 26.06 GHz, 30.13 GHz, 36.26 GHz with widely used gain 5.17 dBi, 9.12 dBi, 15.83 dBi, 6.05 dBi, 5 dBi, 5.84 dBi, 5.34 dBi, 3.79 dBi respectively. These resonance frequencies are achieved less than −10dB return loss. These output simulated by Ansoft HFSS (High Frequency Structure simulator) software. This antenna is printed on Rogers substrate whose full size has been taken 30mm × 30mm and 1.6mm height. The relative permittivity and loss tangent of Roger substrate are 3.0 and 0.0013 respectively. In this paper, a novel U-Shaped and Hexagonal has been abolished on rectangular radiator patch, also staircase introduced on upper and lower edges. Simulated return loss (S11), gain, directivity, and VSWR are discussed.
Fitting Multiple Connected Ellipses to an Image Silhouette Hierarchically

In this paper, we seek to fit a model, specified in terms of connected ellipses, to an image silhouette. Some algorithms that have attempted this problem are sensitive to initial guesses and also may converge to a wrong solution when they attempt to minimize the objective function for the entire ellipse structure in one step. We present an algorithm that overcomes these issues. Our first step is to temporarily ignore the connections, and refine the initial guess using unconstrained Expectation-Maximization (EM) for mixture Gaussian densities. Then the ellipses are reconnected linearly. Lastly, we apply the Levenberg-Marquardt algorithm to fine-tune the ellipse shapes to best align with the contour. The fitting is achieved in a hierarchical manner based upon the joints of the model. Experiments show that our algorithm can robustly fit a complex ellipse structure to a corresponding shape for several applications.
Survey on security threats of smartphones in Internet of Things

Internet of Things (IoT) is an emerging concept which will interconnect billions of devices (such as smartphones, sensors and other networking devices), to communicate with each other. This interconnection of devices can be beneficial in many ways such as improving location based services and timely coordination. However, this also impose severe security concerns specially on smartphones which contains sensitive data. In this paper, we provide a comprehensive analysis of different security issues in smartphones which are integral part of IoT. We provide an easy and concise overview of different security threats. Our categorization helps in identifying specific security breach and applying relevant countermeasures.
Construction of Myanmar WordNet lexical database

A lexical resource is the central repository of data for all language processing applications. It contains information for human consumption as well as computer programs. A significant increase in the use of lexical databases has led WordNet to become one of the most widely used lexical information source for Natural Languages Processing (NLP) applications. This paper presents a methodology of constructing Myanmar WordNet lexical database from WordNet and Myanmar&#60;->English Machine Readable Dictionaries (MRDs). This system consists of three phases which are (i) data extraction phase (ii) link analyzing phase and (iii) construction phase. In the data extraction phase, the lexical information is extracted from available resources. Then sets of candidate links between Myanmar words and synsets are derived from lexical information and that are verified for the lexical gap between two languages in the link analyzing phase. Finally, a set of the verified candidate link is used to automatically construct the Myanmar WordNet. The proposed Myanmar WordNet has coverage of 173853 links, 38142 synsets and 25865 words.
Temporal and Real-Time Databases: A Survey

• a short biography of John Doe. – born on April 3rd, 1975 in Smallville. His birth was registered on April 4th, 1975. – He went to live on his own in Bigtown. Although he moved out on August 26th, 1994, he forgot to register the change of address officially. – He updated his record on December 27, 1994.  John Doe was accidentally hit by a truck on April 1st, 2001. The coroner reported his date of death on the next day.
Student use of Facebook for Informal Learning and Peer Support

As the use of Social Networking and Social Media Technologies (SNT) has become pandemic amongst young people (Tess, 2013; Falahah&Rosmala, 2012) there has been an increasing drive amongst educatorsand researchers to explore the ways in which SNT may be utilized within the classroom (Junco, 2012). Whilst there is therefore an increasing amount of literature available in relation to the use of SNT within the classroom it does not appear that there has been sufficient research considering the manner in which SNT results in the development of a complex, invisible and organic social network amongst students. When these networksexist outside of the classroom they may allow informal learning and peer support to occur. This paper utilises an empirical approach to explore the nature of these invisible networks and the degree to which the use of SNT by students outside of the classroom may provide support for student learning in relation to informal learning and social interaction. Additionally this paper seeks to determine if the use of Facebook by students may provide an indication of the likelihood of student success on their course. This study explores the use of Facebook through the use of a case study of one cohort (90 students) who areundertaking a one-year Foundation in Art and Design course within a specialist art college. This research utilises the technique of Social Network Analysis (SNA) in order to visualise the type of interactions that occur within the online network and the strength of these interactions (Dawson, 2008). Results demonstrate that within this case study the student group created a complex and interrelated network of connections through Facebook with some students clearly placed at the centre of the network and others on the periphery. It is also demonstrated that those students who are more central within the network are more likely to remain on the course and achieve their qualification. This paper demonstrates that SNA provides a useful and insightful way in which to visualize what would otherwise be an invisible network of connections made by students outside of the classroom. Furthermore this paper will provide an insight for teachers and researchers into the benefits of the use of SNT within education, which will have practical implications for the future use of SNT in teaching and learning.
Introduction of speech log-spectral priors into dereverberation based on Itakura-Saito distance minimization

It has recently been shown that a multi-channel linear prediction can effectively achieve blind speech dereverberation based on maximum-likelihood (ML) estimation. This approach can estimate and cancel unknown reverberation processes from only a few seconds of observation. However, one problem with this approach is that speech distortion may increase if we iterate the dereverberation more than once based on Itakura-Saito (IS) distance minimization to further reduce the reverberation. To overcome this problem, we introduce speech log-spectral priors into this approach, and reformulate it based on maximum a posteriori (MAP) estimation. Two types of priors are introduced, a Gaussian mixture model (GMM) of speech log spectra, and a GMM of speech mel-frequency cepstral coefficients. In the formulation, we also propose a new versatile technique to integrate such log-spectral priors with the IS distance minimization in a computationally efficient manner. Preliminary experiments show the effectiveness of the proposed approach.
Color Constancy, Intrinsic Images, and Shape Estimation

We present SIRFS (shape, illumination, and reflectance from shading), the first unified model for recovering shape, chromatic illumination, and reflectance from a single image. Our model is an extension of our previous work , which addressed the achromatic version of this problem. Dealing with color requires a modified problem formulation, novel priors on reflectance and illumination, and a new optimization scheme for dealing with the resulting inference problem. Our approach outperforms all previously published algorithms for intrinsic image decomposition and shape-from-shading on the MIT intrinsic images dataset [1, 2] and on our own “naturally” illuminated version of that dataset.
Flexible Liquid Metal Alloy (EGaIn) Microstrip Patch Antenna

This paper describes a flexible microstrip patch antenna that incorporates a novel multi-layer construction consisting of a liquid metal (eutectic gallium indium) encased in an elastomer. The combined properties of the fluid and the elastomeric substrate result in a flexible and durable antenna that is well suited for conformal antenna applications. Injecting the metal into microfluidic channels provides a simple way to define the shape of the liquid, which is stabilized mechanically by a thin oxide skin that forms spontaneously on its surface. This approach has proven sufficient for forming simple, single layer antenna geometries, such as dipoles. More complex fluidic antennas, particularly those featuring large, co-planar sheet-like geometries, require additional design considerations to achieve the desired shape of the metal. Here, a multi-layer patch antenna is fabricated using specially designed serpentine channels that take advantage of the unique rheological properties of the liquid metal alloy. The flexibility of the resulting antennas is demonstrated and the antenna parameters are characterized through simulation and measurement in both the relaxed and flexed states.
A comparison of the discrete and dimensional models of emotion in music

The primary aim of the present study was to systematically compare perceived emotions in music using two different theoretical frameworks: the discrete emotion model, and the dimensional model of affect. A secondary aim was to introduce a new, improved set of stimuli for the study of music-mediated emotions. A large pilot study established a set of 110 film music excerpts, half were moderately and highly representative examples of five discrete emotions (anger, fear, sadness, happiness and tenderness), and the other half moderate and high examples of the six extremes of three bipolar dimensions (valence, energy arousal and tension arousal). These excerpts were rated in a listening experiment by 116 non-musicians. All target emotions of highly representative examples in both conceptual sets were discriminated by self-ratings. Linear mapping techniques between the discrete and dimensional models revealed a high correspondence along two central dimensions that can be labelled as valence and arousal, and the three dimensions could be reduced to two without significantly reducing the goodness of fit. The major difference between the discrete and categorical models concerned the poorer resolution of the discrete model in characterizing emotionally ambiguous examples. The study offers systematically structured and rich stimulus material for exploring emotional processing.