nils-herrmann/clean_scirepeval huggingface dataset:
Constructive Language in News Comments

We discuss the characteristics of constructive news comments, and present methods to identify them. First, we define the notion of constructiveness. Second, we annotate a corpus for constructiveness. Third, we explore whether available argumentation corpora can be useful to identify constructiveness in news comments. Our model trained on argumentation corpora achieves a top accuracy of 72.59% (baseline=49.44%) on our crowdannotated test data. Finally, we examine the relation between constructiveness and toxicity. In our crowd-annotated data, 21.42% of the non-constructive comments and 17.89% of the constructive comments are toxic, suggesting that non-constructive comments are not much more toxic than constructive comments.
Music Genre Classification: A N-Gram Based Musicological Approach

Digitalization of music has grown deep into people's daily life. Derived services of digital music, such as recommendation systems and similarity test, then become essential for online services and marketing essentials. As a building block of these systems, music genre classification is necessary to support all these services. Previously, researchers mostly focused on low-level features, few of them viewed this problem from a more interpretable way, i.e., a musicological approach. This creates the problem that intermediate stages of the classification process are hardly interpretable, not much of music professionals' domain knowledge was therefore useful in the process. This paper approaches genre classification in a musicological way. The proposed method takes into consideration the high-level features that have clear musical meanings, so that music professionals would find the classification results interpretable. To examine more musicological elements other than additional statistical information, we use a dataset of only symbolic piano works, including more than 200 records of classical, jazz, and ragtime music. Feature extraction and n-gram text classification algorithm are performed. The proposed method proves its concept with experimental results achieving the prediction accuracy averaged above 90%, and with a peak of 98%. We believe that this novel method opens a door to allow music professional to contribute their expert knowledge meaningfully in the music genre classification process, the proposed approach would contribute significantly for future music classification and recommendation systems.
Ultra-Long Crystalline Red Phosphorus Nanowires from Amorphous Red Phosphorus Thin Films.

Heating red phosphorus in sealed ampoules in the presence of a Sn/SnI4 catalyst mixture has provided bulk black phosphorus at much lower pressures than those required for allotropic conversion by anvil cells. Herein we report the growth of ultra-long 1D red phosphorus nanowires (>1 mm) selectively onto a wafer substrate from red phosphorus powder and a thin film of red phosphorus in the present of a Sn/SnI4 catalyst. Raman spectra and X-ray diffraction characterization suggested the formation of crystalline red phosphorus nanowires. FET devices constructed with the red phosphorus nanowires displayed a typical I-V curve similar to that of black phosphorus and a similar mobility reaching 300 cm(2)  V(-1)  s with an Ion /Ioff ratio approaching 10(2) . A significant response to infrared light was observed from the FET device.
Crowdsourcing for Multiple-Choice Question Answering

We leverage crowd wisdom for multiple-choice question answering, and employ lightweight machine learning techniques to improve the aggregation accuracy of crowdsourced answers to these questions. In order to develop more effective aggregation methods and evaluate them empirically, we developed and deployed a crowdsourced system for playing the “Who wants to be a millionaire?” quiz show. Analyzing our data (which consist of more than 200,000 answers), we find that by just going with the most selected answer in the aggregation, we can answer over 90% of the questions correctly, but the success rate of this technique plunges to 60% for the later/harder questions in the quiz show. To improve the success rates of these later/harder questions, we investigate novel weighted aggregation schemes for aggregating the answers obtained from the crowd. By using weights optimized for reliability of participants (derived from the participants’ confidence), we show that we can pull up the accuracy rate for the harder questions by 15%, and to overall 95% average accuracy. Our results provide a good case for the benefits of applying machine learning techniques for building more accurate crowdsourced question answering systems.
Outcome study of the surgical management of panniculitis.

Patients with panniculus morbidus have an abdominal panniculus that becomes a pathologic entity, associated with the development of candidal intertrigo, dermatitis, lymphedema, and ischemic panniculitis. Panniculectomy is a standard treatment for this problem. The objective of this study was to determine risk factors for complications associated with panniculectomy surgery to lower the complication rate. We performed a retrospective chart review of patients who underwent panniculectomy between 1999 and 2007 by looking at data related to surgical complications, comorbidities, age, and gender. In 563 patients, we recorded the incidence of the following complications: wound-related (infection, dehiscence, and/or necrosis), hematoma/seroma, respiratory distress, blood transfusions, deep venous thrombosis or pulmonary embolism, and death. Overall, 34.3% of patients suffered at least 1 complication. In patients with wound complications specifically, there was a significantly higher body mass index versus those with no wound complications (43.7% vs. 30.7%, P < 0.0001). Smokers also had a higher rate of wound complications (40.5% vs. 19.5%, P < 0.0001).
Ransomware and the GDPR

‘APT’ threat is at best misleading and at worst damaging. Many commentators also support the message that organisations need defence in depth – and that maybe there should be more honesty among vendors that their own solution set may not be enough. So, between Ian Levy’s wake-up call to users to beware vendor hype and engage in active defence and Ciaran Martin’s warning that the hacker threat is all too real, the NCSC may be sending out a consistent message: that a range of security measures is needed to deal with a complex and evolving cyberthreat where even the most sophisticated attackers may rely, like script kiddies, on exploiting the most basic flaws. About the author
Smiley face: why we use emoticon stickers in mobile messaging

As mobile instant messaging has become a major means of communication with the widespread use of smartphones, emoticons, symbols that are meant to indicate particular emotions in instant messages, have also developed into various forms. The primary purpose of this study is to classify the usage patterns of emoticons focusing on a particular variant known as "stickers" to observe individual and social characteristics of emoticon use and reinterpret the meaning of emoticons in instant messages. A qualitative approach with an in-depth semi-structured interview was used to uncover the motive in using emoticon stickers. The study suggests that besides using emoticon stickers for expressing emotions, users may have other motives: strategic and functional purposes.
Design of koch fractal bow tie antenna for wireless applications

The crowding of wireless band has necessitated the development of multiband and wideband wireless antennas. Because of the self similar characteristics, fractal concepts have emerged as a design methodology for compact multiband antennas. A Koch-like fractal curve is proposed to transform ultra-wideband (UWB) bow-tie into so called Koch-like sided fractal bow-tie dipole. A small isosceles triangle is cut off from center of each side of the initial isosceles triangle, then the procedure iterates along the sides like Koch curve does, forming the Koch-like fractal bow-tie geometry, used for multiband applications. ADS software is used to design the proposed antennna. It has covers the applications like GSM, wireless band and other wireless communications. fractal; koch curve; bow tie antenna; ADS(Advanced Design System);
GENERATION OF DIGITAL SURFACE MODEL FROM HIGH RESOLUTION SATELLITE IMAGERY

Elevation data is an important component of geospatial database. This paper focuses on digital surface model (DSM) generation from high-resolution satellite imagery (HRSI). The HRSI systems, such as IKONOS and QuickBird have initialed a new era of Earth observation and digital mapping. The half-meter or better resolution imagery from Worldview-1 and the planned GeoEye-1 allows for accurate and reliable extraction and characterization of even more details of the earth surface. In this paper, the DSM is generated using an advanced image matching approach which integrates point and edge matching algorithms. This approach produces reliable, precise, and very dense 3D points for high quality digital surface models which also preserve discontinuities. Following the DSM generation, the accuracy of the DSM has been assessed and reported. To serve both as a reference surface and a basis for comparison, a lidar DSM has been employed in a testfield with differing terrain types and slope.
Students' use of web-based concept map testing and strategies for learning

The study reported in this paper developed and evaluated a web-based concept map testing system for science students. Thirty-eight Taiwanese high school students were involved and it was found that their performance on the system was not significantly related to their achievement as measured by traditional standard tests. Their views about the use of the system, in general, were positive. An analysis of students’ future use of the system and their motivation and learning strategies revealed that those with more critical thinking metacognitive activities and an effort regulation management strategy showed more willingness to use the online testing system. Moreover, students with high test anxiety showed a preference to be tested through the system.
Characterization of Physicochemical and Thermal Properties of Chitosan and Sodium Alginate after Biofield Treatment

Chitosan (CS) and sodium alginate (SA) are two widely popular biopolymers which are used for biomedical and pharmaceutical applications from many years. The objective of present study was to study the effect of biofield treatment on physical, chemical and thermal properties of CS and SA. The study was performed in two groups (control and treated). The control group remained as untreated, and biofield treatment was given to treated group. The control and treated polymers were characterized by Fourier transform infrared (FT-IR) spectroscopy, CHNSO analysis, X-ray diffraction (XRD), particle size analysis, differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA). FT-IR of treated chitosan showed increase in frequency of –CH stretching (2925→2979 cm1) vibrations with respect to control. However, the treated SA showed increase in frequency of –OH stretching (3182→3284 cm-1) which may be correlated to increase in force constant or bond strength with respect to control. CHNSO results showed significant increase in percentage of oxygen and hydrogen of treated polymers (CS and SA) with respect to control. XRD studies revealed that crystallinity was improved in treated CS as compared to control. The percentage crystallite size was increased significantly by 69.59% in treated CS with respect to control. However, treated SA showed decrease in crystallite size by 41.04% as compared to control sample. The treated SA showed significant reduction in particle size (d50 and d99) with respect to control SA. DSC study showed changes in decomposition temperature in treated CS with respect to control. A significant change in enthalpy was observed in treated polymers (CS and CA) with respect to control. TGA results of treated CS showed decrease in Tmax with respect to control. Likewise, the treated SA also showed decrease in Tmax which could be correlated to reduction in thermal stability after biofield treatment. Overall, the results showed that biofield treatment has significantly changed the physical, chemical and thermal properties of CS and SA. Characterization of Physicochemical and Thermal Properties of Chitosan and Sodium Alginate after Biofield Treatment
Noninvasive Brain-Computer Interface: Decoding Arm Movement Kinematics and Motor Control

Over the last few decades, the advances in disciplines such as neuroscience and engineering have introduced the brain-computer interface (BCI) as a promising tool for neurorehabilitation and neurophysiology research. BCI research primarily aims at development of assistive and rehabilitation strategies for motor-impaired users and, hence, sensorimotor-rhythm (SMR)based BCIs are widely explored. In this article, we provide a summary of recent advances in motor control BCI, specifically in movement kinematics decoding and motor control of localized areas of the limb. We further discuss the research challenges and future scope of work in this area of research.
Anxiolytic effects of nicotine in zebrafish

Anxiolytic effects of nicotine have been documented in studies with rodents and humans. Understanding the neural basis of nicotine-induced anxiolysis can help both with developing better aids for smoking cessation as well as with the potential development of novel nicotinic ligands for treating anxiety. Complementary non-mammalian models may be useful for determining the molecular bases of nicotine effects on neurobehavioral function. The current project examined whether a zebrafish model of anxiety would be sensitive to nicotine. When zebrafish are placed in a novel environment, they dive to the bottom of the tank. In the wild, diving could help to escape predation. We tested the anxiolytic effect of nicotine on the novelty-elicited diving response and subsequent habituation. Zebrafish placed in a novel tank spent the majority of time at the bottom third of the tank during the first minute of a 5-min session and then show a gradual decrease in time spent at the tank bottom. Nicotine treatment at 100 mg/l for 3 min by immersion before testing caused a significant decrease in diving throughout the session, while 50 mg/l was effective during the first minute when the greatest bottom dwelling was seen in controls. Nicotine effects were reversed by the nicotinic antagonist mecamylamine given together with nicotine, but not when administered shortly before the test session after prior nicotine dosing. This implies that the effect of nicotine on diving was due to net stimulation at nicotinic receptors, an effect that is blocked by mecamylamine; and that once invoked, this effect is no longer dependent on continuing activation of nicotinic receptors. The effect of nicotine on diving did not seem to be the result of a general disorientation of the fish. The 100 mg/ml nicotine dose was shown in our earlier study to significantly improve spatial-discrimination learning in zebrafish. Nicotine-induced anxiolytic effects can be modeled in the zebrafish. This preparation will help in the investigation of the molecular bases of this effect.
Harvesting WiFi Received Signal Strength Indicator (RSSI) for Control/Automation System in SOHO Indoor Environment with ESP8266

WiFi are easily available almost everywhere nowadays. Due to this, there is increasing interest in harnessing this technology for purposes other than communication. Therefore, this research was carried out with the main idea of using WiFi in developing an efficient, low cost control system for small office home office (SOHO) indoor environment. The main objective of the research is to develop a proof of concept that WiFi received signal strength indicator (RSSI) can be harnessed and used to develop a control system. The control system basically will help to save energy in an intelligent manner with a very minimum cost for the controller circuit. There are two main parts in the development of the system. First is extracting the RSSI monitoring feed information and analyzing it for designing the control system. The second is the development of the controller circuit for real environment. The simple yet inexpensive controller was tested in an indoor environment and results showed successful operation of the circuit developed.
Exploring the motives and mental health correlates of intentional food restriction prior to alcohol use in university students.

This study explored the prevalence of and motivations behind 'drunkorexia' – restricting food intake prior to drinking alcohol. For both male and female university students (N = 3409), intentionally changing eating behaviour prior to drinking alcohol was common practice (46%). Analyses performed on a targeted sample of women (n = 226) revealed that food restriction prior to alcohol use was associated with greater symptomology than eating more food. Those who restrict eating prior to drinking to avoid weight gain scored higher on measures of disordered eating, whereas those who restrict to get intoxicated faster scored higher on measures of alcohol abuse.
The violent true believer as a "lone wolf" - psychoanalytic perspectives on terrorism.

The existing research on lone wolf terrorists and case experience are reviewed and interpreted through the lens of psychoanalytic theory. A number of characteristics of the lone wolf are enumerated: a personal grievance and moral outrage; the framing of an ideology; failure to affiliate with an extremist group; dependence on a virtual community found on the Internet; the thwarting of occupational goals; radicalization fueled by changes in thinking and emotion - including cognitive rigidity, clandestine excitement, contempt, and disgust - regardless of the particular ideology; the failure of sexual pair bonding and the sexualization of violence; the nexus of psychopathology and ideology; greater creativity and innovation than terrorist groups; and predatory violence sanctioned by moral (superego) authority. A concluding psychoanalytic formulation is offered.
Automatic Synthesis of Robust Embedded Control Software

We propose a methodology for automatic synthesis of embedded control software that accounts for exogenous disturbances. The resulting system is guaranteed, by construction, to satisfy a given specification expressed in linear temporal logic. The embedded control software consists of three components: a goal generator, a trajectory planner, and a continuous controller. We demonstrate the effectiveness of the proposed technique through an example of an autonomous vehicle navigating an urban environment. This example also illustrates that the system is not only robust with respect to exogenous disturbances but also capable of handling violation of the environment assumptions.
Arterial functions: how to interpret the complex physiology.

Arterial pressure is a cyclic phenomenon characterized by a pressure wave oscillating around the mean blood pressure, from diastolic to systolic blood pressure, defining the pulse pressure. Aortic input impedance is a measure of the opposition of the circulation to an oscillatory flow input (stroke volume generated by heart work). Aortic input impedance integrates factors opposing LV ejection, such as peripheral resistance, viscoelastic properties and dimensions of the large central arteries, and the intensity and timing of the pressure wave reflections, associated with the opposition to LV ejection influenced by inertial forces. The two most frequently used methods of arterial stiffness are measurement of PWV and central (aortic or common carotid artery) pulse wave analysis, recorded directly at the carotid artery or indirectly in the ascending aorta from radial artery pressure curve. The arterial system is heterogenous and characterized by the existence of a stiffness gradient with progressive stiffness increase (PWV) from ascending aorta and large elastic proximal arteries to the peripheral muscular conduit arteries. Analysis of aortic or carotid pressure waveform and amplitude concerns the effect of reflected waves on pressure shape and amplitude, estimated in absolute terms, augmented pressure in millimetre of mercury, or, in relative terms, 'augmentation index' (Aix in percentage of pulse pressure). Finally, if the aortic PWV has the highest predictive value for prognosis, the aortic or central artery pressure waveform should be recorded and analysed in parallel with the measure of PWV to allow a deeper analysis of arterial haemodynamics.
Measuring the Objectness of Image Windows

We present a generic objectness measure, quantifying how likely it is for an image window to contain an object of any class. We explicitly train it to distinguish objects with a well-defined boundary in space, such as cows and telephones, from amorphous background elements, such as grass and road. The measure combines in a Bayesian framework several image cues measuring characteristics of objects, such as appearing different from their surroundings and having a closed boundary. These include an innovative cue to measure the closed boundary characteristic. In experiments on the challenging PASCAL VOC 07 dataset, we show this new cue to outperform a state-of-the-art saliency measure, and the combined objectness measure to perform better than any cue alone. We also compare to interest point operators, a HOG detector, and three recent works aiming at automatic object segmentation. Finally, we present two applications of objectness. In the first, we sample a small numberof windows according to their objectness probability and give an algorithm to employ them as location priors for modern class-specific object detectors. As we show experimentally, this greatly reduces the number of windows evaluated by the expensive class-specific model. In the second application, we use objectness as a complementary score in addition to the class-specific model, which leads to fewer false positives. As shown in several recent papers, objectness can act as a valuable focus of attention mechanism in many other applications operating on image windows, including weakly supervised learning of object categories, unsupervised pixelwise segmentation, and object tracking in video. Computing objectness is very efficient and takes only about 4 sec. per image.
Automatic number plate recognition system for vehicle identification

The proposed system will be designed as for the automatic vehicle identification for the security purpose. The number plate of the vehicle is identified by image identification technology. This system can be implemented for the security checking in the area of the parliament and defence military area and also used in the toll plaza, parking fee collection etc. The images of the vehicles will be captured by cameras and those captured images will be processed by MAT LAB. Here the MaTLAB is used for the image identification and vehicle number extraction. The system contains embedded section for the automatic control of the gate and communication purpose. A LCD screen will be provided at the entry of the gate to gives the instruction to the driver and whether he is permitted to this area or not and the message will be passed to security cabin. The communication between MATLAB and microcontroller is done by using Zigbee. We can also extend to get the information of the vehicle owner, by incorporating the RTO database. The embedded section is programmed by using embedded c.