nils-herrmann/clean_scirepeval huggingface dataset:
The effects of a 2-year physical education program (SPARK) on physical activity and fitness in elementary school students. Sports, Play and Active Recreation for Kids.

This study evaluated a health-related physical education program for fourth- and fifth-grade students designed to increase physical activity during physical education classes and outside of school.



Seven schools were assigned to three conditions in a quasi-experimental design. Health-related physical education was taught by physical education specialists or trained classroom teachers. Students from these classes were compared with those in control classes. Analyses were conducted on 955 students with complete data.



Students spent more minutes per week being physically active in specialist-led (40 min) and teacher-led (33 min) physical education classes than in control classes (18 min; P < .001). After 2 years, girls in the specialist-led condition were superior to girls in the control condition on abdominal strength and endurance (P < .001) and cardiorespiratory endurance (P < .001). There were no effects on physical activity outside of school.



A health-related physical education curriculum can provide students with substantially more physical activity during physical education classes. Improved physical education classes can potentially benefit 97% of elementary school students.
Framework for Rumors Detection in Social Media

The development of social networks has led the public in general to find easy accessibility for communication with respect to rapid communication to each other at any time. Such services provide the quick transmission of information which is its positive side but its negative side needs to be kept in mind thereby misinformation can spread. Nowadays, in this era of digitalization, the validation of such information has become a real challenge, due to lack of information authentication method. In this paper, we design a framework for the rumors detection from the Facebook events data, which is based on inquiry comments. The proposed Inquiry Comments Detection Model (ICDM) identifies inquiry comments utilizing a rule-based approach which entails regular expressions to categorize the sentences as an inquiry into those starting with an intransitive verb (like is, am, was, will, would and so on) and also those sentences ending with a question mark. We set the threshold value to compare with the ratio of Inquiry to English comments and identify the rumors. We verified the proposed ICDM on labeled data, collected from snopes.com. Our experiments revealed that the proposed method achieved considerably well in comparison to the existing machine learning techniques. The proposed ICDM approach attained better results of 89% precision, 77% recall, and 82% F-measure. We are of the opinion that our experimental findings of this study will be useful for the worldwide adoption. Social networks; rumors; inquiry comments; question identification
Low-Contact Resistance Probe Card Using MEMS Technology

Multichannel die probing increases test speed and lowers the overall cost of testing. A new high-density wafer probe card based on MEMS technology is presented in this paper. MEMS-based microtest-channels have been designed to establish high-speed low-resistance connectivity between the die-under-test and the tester at the wafer level. The proposed test scheme can be used to probe fine pitch pads and interconnects of a new generation of 3-D integrated circuits. The proposed MEMS probe, which is fabricated with two masks, supports \(10^{6}\) lifetime touchdowns. Measurement results using a prototype indicate that the proposed architecture can be used to conduct manufacturing tests up to 38.6 GHz with less than -1-dB insertion loss while maintaining 11.4-m\(\Omega \) contact resistance. The measured return loss of the probe at 39.6 GHz is -12.05 dB.
Neurocircuitry models of posttraumatic stress disorder and beyond: A meta-analysis of functional neuroimaging studies

Over the past two decades a relatively large number of studies have investigated the functional neuroanatomy of posttraumatic stress disorder (PTSD). However, findings are often inconsistent, thus challenging traditional neurocircuitry models of PTSD. As evidence mounts that cognition and behavior is an emergent property of interacting brain networks, the question arises whether PTSD can be understood by examining dysfunction in large-scale, spatially distributed neural networks. We used the activation likelihood estimation quantitative meta-analytic technique to synthesize findings across functional neuroimaging studies of PTSD that either used a non-trauma (N=20) or trauma-exposed (N=19) comparison control group. In line with neurocircuitry models, our findings support hyperactive amygdala and hypoactive medial prefrontal regions, but suggest hyperactive hippocampi. Characterization of additional regions under a triple network model showed functional alterations that largely overlapped with the salience network, central executive network, and default network. However, heterogeneity was observed within and across the neurocircuitry and triple network models, and between results based on comparisons to non-trauma and trauma-exposed control groups. Nonetheless, these results warrant further exploration of the neurocircuitry and large-scale network models in PTSD using connectivity analyses.
Correction to: 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association.

In the article by Powers et al, “2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association,” which published ahead of print January 24, 2018, and appeared in the March 2018 issue of the journal (Stroke. 2018;49:e46–e110.  STR.0000000000000158), a few corrections were needed. 1. On page e46, the text above the byline read: Reviewed for evidence-based integrity and endorsed by the American Association of Neurological Surgeons and Congress of Neurological Surgeons Endorsed by the Society for Academic Emergency Medicine It has been updated to read: Reviewed for evidence-based integrity and endorsed by the American Association of Neurological Surgeons and Congress of Neurological Surgeons Endorsed by the Society for Academic Emergency Medicine and Neurocritical Care Society The American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. 2. On page e60, in the section “2.2. Brain Imaging,” in the knowledge byte text below recommendation 12: • The seventh sentence read, “Therefore, only the eligibility criteria from these trials should be used for patient selection.” It has been updated to read, “Therefore, only the eligibility criteria from one or the other of these trials should be used for patient selection.” • The eighth sentence read, “...at this time, the DAWN and DEFUSE 3 eligibility should be strictly adhered to in clinical practice.” It has been updated to read, “...at this time, the DAWN or DEFUSE 3 eligibility should be strictly adhered to in clinical practice.” 3. On page e73, in the section “3.7.  Thrombectomy,” recommendation 8 read, “In selected patients with AIS within 6 to 24 hours....” It has been updated to read, “In selected patients with AIS within 16 to 24 hours....” 4. On page e73, in the section “3.7.  Thrombectomy,” in the knowledge byte text below recommendation 8: • The seventh sentence read, “Therefore, only the eligibility criteria from these trials should be used for patient selection.” It has been updated to read, “Therefore, only the eligibility criteria from one or the other of these trials should be used for patient selection.” • The eighth sentence read, “...at this time, the DAWN and DEFUSE-3 eligibility should be strictly adhered to in clinical practice.” It has been updated to read, “...at this time, the DAWN or DEFUSE-3 eligibility should be strictly adhered to in clinical practice.” 5. On page e76, in the section “3.10. Anticoagulants,” in the knowledge byte text below recommendation 1, the third sentence read, “...(LMWH, 64.2% versus aspirin, 6.52%; P=0.33).” It has been updated to read, “...(LMWH, 64.2% versus aspirin, 62.5%; P=0.33).” These corrections have been made to the current online version of the article, which is available at http://stroke.ahajournals.org/lookup/doi/10.1161/STR.0000000000000158.
The “Mozart Effect”: An Electroencephalographic Analysis Employing the Methods of Induced Event-Related Desynchronization/Synchronization and Event-Related Coherence

The event-related responses of 18 individuals were recorded while they were listening to 3 music clips of 6 s duration which were repeated 30 times each. The music clips differed in the level of their complex structure, induced mood, musical tempo and prominent frequency. They were taken from Mozart's sonata (K. 448), and Brahms' Hungarian dance (no. 5). The third clip was a simplified version of the theme taken from Haydn's symphony (no. 94) played by a computer synthesizer. Significant differences in induced event-related desynchronization between the 3 music clips were only observed in the lower-1 alpha band which is related to attentional processes. A similar pattern was observed for the coherence measures. While respondents listened to the Mozart clip, coherence in the lower alpha bands increased more, whereas in the gamma band a less pronounced increase was observed as compared with the Brahms and Haydn clips. The clustering of the three clips based on EEG measures distinguished between the Mozart clip on the one hand, and the Haydn and Brahms clips on the other, even though the Haydn and Brahms clips were at the opposite extremes with regard to the mood they induced in listeners, musical tempo, and complexity of structure. This would suggest that Mozart's music—with no regard to the level of induced mood, musical tempo and complexity—influences the level of arousal. It seems that modulations in the frequency domain of Mozart's sonata have the greatest influence on the reported neurophysiological activity.
Creation of a 3D printed temporal bone model from clinical CT data.

Generate and describe the process of creating a 3D printed, rapid prototype temporal bone model from clinical quality CT images.



We describe a technique to create an accurate, alterable, and reproducible rapid prototype temporal bone model using freely available software to segment clinical CT data and generate three different 3D models composed of ABS plastic. Each model was evaluated based on the appearance and size of anatomical structures and response to surgical drilling.



Mastoid air cells had retained scaffolding material in the initial versions. This required modifying the model to allow drainage of the scaffolding material. External auditory canal dimensions were similar to those measured from the clinical data. Malleus, incus, oval window, round window, promontory, horizontal semicircular canal, and mastoid segment of the facial nerve canal were identified in all models. The stapes was only partially formed in two models and absent in the third. Qualitative feel of the ABS plastic was softer than bone. The pate produced by drilling was similar to bone dust when appropriate irrigation was used.



We present a rapid prototype temporal bone model made based on clinical CT data using 3D printing technology. The model can be made quickly and inexpensively enough to have potential applications for educational training.
Electoral Politics in Malaysia : ‘ Managing ’ Elections in a Plural Society

Elections are contests for the highest stakes in national politics and the electoral system is a set of predetermined rules for conducting elections and determining their outcome. Thus defined, the electoral system is distinguishable from the actual conduct of elections as well as from the wider conditions surrounding the electoral contest, such as the state of civil liberties, restraints on the opposition and access to the mass media. While all these aspects are of obvious importance to free and fair elections, the main interest of this study is the electoral system.
Nuevas Tecnologías en la Docencia de la Ingeniería. Fomento e Innovación

Durante los días 5 y 6 de mayo de 2011 se celebró en el Campus de Teruel de la Universidad de Zaragoza (España) la Segunda Conferencia Internacional en Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería (FINTDI) (http://fintdi.unizar.es/). Esta conferencia, promovida por el Capítulo Español de la Sociedad de Educación del IEEE, surgió en el año 2009 con el objetivo de dar a conocer y poner en común las experiencias de innovación docente que se están desarrollando en el ámbito de la ingeniería en las diferentes universidades españolas e iberoamericanas. Así mismo, con su creación se pretendía implantar un foro donde valorar conjuntamente las repercusiones de la utilización de nuevos métodos, materiales y herramientas docentes, con los que los profesores universitarios están trabajando desde la implantación del EEES, en una búsqueda continuada por aumentar la calidad de su docencia. En esta segunda edición, y con el fin de promover los puntos de encuentros, debate y reflexión, se introdujeron algunos cambios de formato. Entre otros: a) Se incorporaron sesiones de póster, para dar visibilidad a los trabajos que todavía estaban en proceso de desarrollo (Work in Progress), pero cuyas ideas podrían servir como referente para otros docentes o como punto de partida para futuras colaboraciones entre universidades. b) Se modificó el formato de las sesiones: como ya es habitual los participantes tenían un tiempo limitado para exponer, pero en esta ocasión el turno de preguntas se reservó para el final de la sesión. Se intentó de este modo que los asistentes a una sesión participaran hasta el final, fomentando el debate y la reflexión conjunta sobre los trabajos presentados. c) Con idea de apoyar el aprendizaje de los asistentes, se impartieron tres talleres de forma gratuita, gracias a la desinteresada labor de los ponentes. En concreto, se impartieron los talleres: 1) “Generación de Objetos Educativos Reutilizables” – a cargo de D. Oscar Martínez Bonastre, 2) “Uso del laboratorio remoto VISIR para circuitos electrónicos básicos Entorno VISIR (laboratorio remoto para electrónica) y sus aplicaciones en el aula”, a cargo de D. Unai Hernández Jayo y D. Javier García Zubía y 3) “Tabletas + tinta digital: una oportunidad para mejorar la interacción en nuestras aulas”, impartido por D. José-V. Benlloch-Dualde. Además, el congreso se vio enriquecido con dos conferencias plenarias: * “Caught in the Storm: Engineers, Ethics, and Hurricane Katrina” – a cargo del Dr. Charles Fleddermann, Editor Jefe de la revista internacional IEEETransactions on Education. * “Developing skill to work on multidisciplinar teams: taking part in the PDT project” – a cargo de la doctora Paloma Díaz, Catedrática del Departamento de Informática de la Universidad Carlos III de Madrid (Escuela Politécnica Superior).
Massive MIMO for Fifth Generation (5G): Opportunities and Challenges

MIMO is a technology that utilizes multiple antennas at transmitter/receiver to improve the throughput, capacity and coverage of wireless system. Massive MIMO where Base Station is equipped with orders of magnitude more antennas have shown over 10 times spectral efficiency increase over MIMO with simpler signal processing algorithms. Massive MIMO has benefits of enhanced capacity, spectral and energy efficiency and it can be built by using low cost and low power components. Despite its potential benefits, this paper also summarizes some challenges faced by massive MIMO such as antenna spatial correlation and mutual coupling as well as non-linear hardware impairments. These challenges encountered in massive MIMO uncover new problems that need further investigation.
A Comparison of Software Architectural Styles Using Aspects

To meet the demand and stay competitive, many systems were traditionally pieced together without much consideration given to their quality, modifiability, scalability, security, or maintainability. This has since littered the computing landscape with brittle applications with high maintenance and complexity. Over time, these maligned systems have propagated in size and merged or integrated to become too complex and fragile to amend or administer. To combat this misalignment, the Software Architecture (SA) discipline promises to answer and realign IT with its origins of productivity and proficiency. In this paper we will (1) introduce SA, (2) decompose SA into its unique styles and quality attributes, (3) present a case study to gauge each style, (4) and finally assess and compare SA methodologies. In this paper we will compare alternative architectures and measure their effectiveness in order to identify and compute factors that affect SA by utilizing Aspect Oriented Programming (AOP).
A Compact Dielectric-Loaded Log-Periodic Dipole Array (LPDA) Antenna

A compact, dielectric-loaded, and wideband log-periodic dipole array antenna operating between 200 and 803 MHz for VSWR less than 2 is presented in this letter. The antenna consists of sinusoidal dipoles and parallel stripline printed on a substrate partially loading an air layer, as well as two stepped dielectric materials with $\varepsilon _{{{r}}}= 10$. These two stepped dielectric materials are placed on both sides of the substrate. It is found that a remarkable lower frequency performance is obtained by using these two stepped dielectric materials, and the antenna's impedance matching performance is improved through the air layer partially loaded in the substrate. Good agreement is achieved between simulated and measured results. The antenna is also shown to work normally through the experimental results of VSWR under the 100 W continuous-wave power excitation for 30 min.
ScanMe mobile: a cloud-based Android malware analysis service

As mobile malware have increased in number and sophistication, it has become pertinent for users to have tools that can inform them of potentially malicious applications. To fulfill this need, we develop a cloud-based malware analysis service called ScanMe Mobile, for the Android platform. The objective of this service is to provide users with detailed information about Android Application Package (APK) files before installing them on their devices. With ScanMe Mobile, users are able to upload APK files from their device SD card, scan the APK in the malware detection system that could be deployed in the cloud, compile a comprehensive report, and store or share the report by publishing it to the website. ScanMe Mobile works by running the APK in a virtual sandbox to generate permission data, and analyzes the result in the machine learning detection system. Through our experimental results, we demonstrate that the proposed system can effectively detect malware on the Android platform.
Bot Detection Based on Social Interactions in MMORPGs

The objective of this work is to detect the use of automated programs, known as game bots, based on social interactions in MMORPGs. Online games, especially MMORPGs, have become extremely popular among internet users in the recent years. Not only the popularity but also security threats such as the use of game bots and identity theft have grown manifold. As bot players can obtain unjustified assets without corresponding efforts, the gaming community does not allow players to use game bots. However, the task of identifying game bots is not an easy one because of the velocity and variety of their evolution in mimicking human behavior. Existing methods for detecting game bots have a few drawbacks like reducing immersion of players, low detection accuracy rate, and collision with other security programs. We propose a novel method for detecting game bots based on the fact that humans and game bots tend to form their social network in contrasting ways. In this work we focus particularly on the in game mentoring network from amongst several social networks. We construct a couple of new features based on eigenvector centrality to capture this intuition and establish their importance for detecting game bots. The results show a significant increase in the classification accuracy of various classifiers with the introduction of these features.
RELION: Implementation of a Bayesian approach to cryo-EM structure determination

RELION, for REgularized LIkelihood OptimizatioN, is an open-source computer program for the refinement of macromolecular structures by single-particle analysis of electron cryo-microscopy (cryo-EM) data. Whereas alternative approaches often rely on user expertise for the tuning of parameters, RELION uses a Bayesian approach to infer parameters of a statistical model from the data. This paper describes developments that reduce the computational costs of the underlying maximum a posteriori (MAP) algorithm, as well as statistical considerations that yield new insights into the accuracy with which the relative orientations of individual particles may be determined. A so-called gold-standard Fourier shell correlation (FSC) procedure to prevent overfitting is also described. The resulting implementation yields high-quality reconstructions and reliable resolution estimates with minimal user intervention and at acceptable computational costs.
A multi-modulation retrodirective feed network for backscatter communications

Short ranges and limited field-of-views in semi-passive radio frequency identification (RFID) tags are the most prominent obstacles that limit the number of RFID applications relying on backscatter modulation to exchange data between a reader and a tag. We propose a retrodirective array structure that, if equipped on a tag, can increase the field-of-view and the coverage area of RFID systems by making the tag insensitive to its orientation with respect to one or more RFID readers. In this article, we derive and experimentally validate the conditions under which a rat-race coupler is retrodirective. The performance of the fabricated passive retrodirective structure is evaluated through the retrodirective ideality factor (RIF) amounting to a value of 1.003, which is close to the ideal RIF of one. The article ends with a discussion on how the proposed design can improve current RFID systems from a communication perspective.
Loneliness and depression in the elderly: the role of social network

Loneliness and depression are associated, in particular in older adults. Less is known about the role of social networks in this relationship. The present study analyzes the influence of social networks in the relationship between loneliness and depression in the older adult population in Spain. A population-representative sample of 3535 adults aged 50 years and over from Spain was analyzed. Loneliness was assessed by means of the three-item UCLA Loneliness Scale. Social network characteristics were measured using the Berkman–Syme Social Network Index. Major depression in the previous 12 months was assessed with the Composite International Diagnostic Interview (CIDI). Logistic regression models were used to analyze the survey data. Feelings of loneliness were more prevalent in women, those who were younger (50–65), single, separated, divorced or widowed, living in a rural setting, with a lower frequency of social interactions and smaller social network, and with major depression. Among people feeling lonely, those with depression were more frequently married and had a small social network. Among those not feeling lonely, depression was associated with being previously married. In depressed people, feelings of loneliness were associated with having a small social network; while among those without depression, feelings of loneliness were associated with being married. The type and size of social networks have a role in the relationship between loneliness and depression. Increasing social interaction may be more beneficial than strategies based on improving maladaptive social cognition in loneliness to reduce the prevalence of depression among Spanish older adults.