nils-herrmann/clean_scirepeval huggingface dataset:
A Performance Evaluation of Machine Learning-Based Streaming Spam Tweets Detection

The popularity of Twitter attracts more and more spammers. Spammers send unwanted tweets to Twitter users to promote websites or services, which are harmful to normal users. In order to stop spammers, researchers have proposed a number of mechanisms. The focus of recent works is on the application of machine learning techniques into Twitter spam detection. However, tweets are retrieved in a streaming way, and Twitter provides the Streaming API for developers and researchers to access public tweets in real time. There lacks a performance evaluation of existing machine learning-based streaming spam detection methods. In this paper, we bridged the gap by carrying out a performance evaluation, which was from three different aspects of data, feature, and model. A big ground-truth of over 600 million public tweets was created by using a commercial URL-based security tool. For real-time spam detection, we further extracted 12 lightweight features for tweet representation. Spam detection was then transformed to a binary classification problem in the feature space and can be solved by conventional machine learning algorithms. We evaluated the impact of different factors to the spam detection performance, which included spam to nonspam ratio, feature discretization, training data size, data sampling, time-related data, and machine learning algorithms. The results show the streaming spam tweet detection is still a big challenge and a robust detection technique should take into account the three aspects of data, feature, and model.
Ride comfort evaluations on electric vehicle conversion and improvement using Magnetorheological semi active suspension system

This paper presents the development of 7 degrees of freedom of ride model of a passenger vehicle to study the ride comfort performance of passenger vehicle if converted into an electric vehicle. The data of Malaysian made passenger vehicle were used in this study by assuming that the vehicle is going to be converted into an electric vehicle. The simulation results from the developed simulation model are validated with the experimental results. Ride test known as pitch mode tests were conducted to validate the reliability of the developed simulation model. The validated simulation model was used to evaluate the vehicle ride comfort performance when converted into an electric vehicle. The validated simulation model was also integrated with the semi active suspension system in order to improve the EV conversion ride comfort performance. It was found that the EV conversion's ride comfort was not significantly affected from the modifications and the used of semi active suspension system can be an alternatives in further improving EV conversion ride comfort.
Orthodontics in 3 millennia. Chapter 5: the American Board of Orthodontics, Albert Ketcham, and early 20th-century appliances.

Early in the last century, 3 events put Colorado in the orthodontic spotlight: the discovery-by an orthodontist-of the caries-preventive powers of fluoridated water, the formation of dentistry's first specialty board, and the founding of a supply company by and for orthodontists. Meanwhile, inventive practitioners were giving the profession more choices of treatment modalities, and stainless steel was making its feeble debut.
Empirical Studies in Information Visualization: Seven Scenarios

We take a new, scenario-based look at evaluation in information visualization. Our seven scenarios, evaluating visual data analysis and reasoning, evaluating user performance, evaluating user experience, evaluating environments and work practices, evaluating communication through visualization, evaluating visualization algorithms, and evaluating collaborative data analysis were derived through an extensive literature review of over 800 visualization publications. These scenarios distinguish different study goals and types of research questions and are illustrated through example studies. Through this broad survey and the distillation of these scenarios, we make two contributions. One, we encapsulate the current practices in the information visualization research community and, two, we provide a different approach to reaching decisions about what might be the most effective evaluation of a given information visualization. Scenarios can be used to choose appropriate research questions and goals and the provided examples can be consulted for guidance on how to design one's own study.
Link-Prediction Enhanced Consensus Clustering for Complex Networks

Many real networks that are collected or inferred from data are incomplete due to missing edges. Missing edges can be inherent to the dataset (Facebook friend links will never be complete) or the result of sampling (one may only have access to a portion of the data). The consequence is that downstream analyses that "consume" the network will often yield less accurate results than if the edges were complete. Community detection algorithms, in particular, often suffer when critical intra-community edges are missing. We propose a novel consensus clustering algorithm to enhance community detection on incomplete networks. Our framework utilizes existing community detection algorithms that process networks imputed by our link prediction based sampling algorithm and merges their multiple partitions into a final consensus output. On average our method boosts performance of existing algorithms by 7% on artificial data and 17% on ego networks collected from Facebook.
What is type VI secretion doing in all those bugs?

The identification of bacterial secretion systems capable of translocating substrates into eukaryotic cells via needle-like appendages has opened fruitful and exciting areas of microbial pathogenesis research. The recent discovery of the type VI secretion system (T6SS) was met with early speculation that it too acts as a 'needle' that pathogens aim at host cells. New reports demonstrate that certain T6SSs are potent mediators of interbacterial interactions. In light of these findings, we examined earlier data indicating its role in pathogenesis. We conclude that although T6S can, in rare instances, directly influence interactions with higher organisms, the broader physiological significance of the system is likely to provide defense against simple eukaryotic cells and other bacteria in the environment. The crucial role of T6S in bacterial interactions, along with its presence in many organisms relevant to disease, suggests that it might be a key determinant in the progression and outcome of certain human polymicrobial infections.
An attributional theory of achievement motivation and emotion.

A theory of motivation and emotion is proposed in which causal ascriptions play a key role. It is first documented that in achievement-related contexts there are a few dominant causal perceptions. The perceived causes of success and failure share three common properties: locus, stability, and controllability, with intentionality and globality as other possible causal structures. The perceived stability of causes influences changes in expectancy of success; all three dimensions of causality affect a variety of common emotional experiences, including anger, gratitude, guilt, hopelessness, pity, pride, and shame. Expectancy and affect, in turn, are presumed to guide motivated behavior. The theory therefore relates the structure of thinking to the dynamics of feeling and action. Analysis of a created motivational episode involving achievement strivings is offered, and numerous empirical observations are examined from this theoretical position. The strength of the empirical evidence, the capability of this theory to address prevalent human emotions, and the potential generality of the conception are stressed.
Extending the road beyond CMOS - IEEE Circuits and Devices Magazine

he quickening pace of MOSFET technology scaling, as seen in the new 2001 International Technology Roadmap for Semiconductors , is accelerating the introduction of many new technologies to extend CMOS into nanoscale MOSFET structures heretofore not thought possible. A cautious optimism is emerging that these new technologies may extend MOSFETs to the 22-nm node (9-nm physical gate length) by 2016 if not by the end of this decade. These new devices likely will feature several new materials cleverly incorporated into new nonbulk MOSFET structures. They will be ultra fast and dense with a voracious appetite for power. Intrinsic device speeds may be more than 1 THz and integration densities will exceed 1 billion transistors per cm. Excessive power consumption, however, will demand judicious use of these high-performance devices only in those critical paths requiring their superior performance. Two or perhaps three other lower performance, more power-efficient MOSFETs will likely be used to perform less performance-critical functions on the chip to manage the total power consumption. Beyond CMOS, several completely new approaches to information-processing and data-storage technologies and architectures are emerging to address the timeframe beyond the current roadmap. Rather than vying to “replace” CMOS, one or more of these embryonic paradigms, when combined with a CMOS platform, could extend microelectronics to new applications domains currently not accessible to CMOS. A successful new information-processing paradigm most likely will require a new platform technology embodying a fabric of interconnected primitive logic cells, perhaps in three dimensions. Further, this new logic paradigm may suggest a new symbiotic information-processing architecture to fully extract the potential offered by the logic fabric. An excellent summary of nanoelectronic devices is contained in the Technology Roadmap for Nanoelectronics, produced by the European Commission’s Information Society Technology Programme (Future and Emerging Technologies)[2]. The goal of this article is to introduce and review many new device technologies and concepts for information and signal processing having potential to extend microelectronics to and beyond the time frame of the new 2001 ITRS. The scope of this article is to “cast a broad net” to gather in one place substantive, alternative concepts for memory, logic, and information-processing architectures that would, if successful, substantially extend the time frame of the ITRS beyond CMOS. As such, this section will provide a window into candidate approaches. Provision of in-depth, critical analysis of each approach will be quite important but is beyond the scope of this article.
A wearable device for physical and emotional health monitoring

Personal health monitoring systems are emerging as promising solutions to develop ultra-small, portable devices that can continuously monitor and process several vital body parameters. In this work, we present a wearable device for physical and emotional health monitoring. The device obtains user's key physiological signals: ECG, respiration, Impedance Cardiogram (ICG), blood pressure and skin conductance and derives the user's emotion states as well. We have developed embedded algorithms that process the bio-signals in real-time to detect any abnormalities (cardiac arrhythmias and morphology changes) in the ECG and to detect key parameters (such as the Pre- Ejection Period and fluid status level) from the ICG. We present a novel method to detect continuous beat-by-beat blood pressure from the ECG and ICG signals, as well as a real-time embedded emotion classifier that computes the emotion levels of the user. Emotions are classified according to their attractiveness (positive valence) or their averseness (negative valence) in the horizontal valence dimension. The excitement level induced by the emotions is represented by high to low positions in the vertical arousal dimension of the valence-arousal space. The signals are measured either intermittently by touching the metal electrodes on the device (for point-of-care testing) or continuously, using a chest strap for long term monitoring. The processed data from device is sent to a mobile phone using a Bluetooth Low Energy protocol. Our results show that the device can monitor the signals continuously, providing accurate detection of the motion state, for over 72 hours on a single battery charge.
Activation of receptor for advanced glycation end products: a mechanism for chronic vascular dysfunction in diabetic vasculopathy and atherosclerosis.

Receptor for advanced glycation end products (RAGE) is a member of the immunoglobulin superfamily of cell surface molecules and engages diverse ligands relevant to distinct pathological processes. One class of RAGE ligands includes glycoxidation products, termed advanced glycation end products, which occur in diabetes, at sites of oxidant stress in tissues, and in renal failure and amyloidoses. RAGE also functions as a signal transduction receptor for amyloid beta peptide, known to accumulate in Alzheimer disease in both affected brain parenchyma and cerebral vasculature. Interaction of RAGE with these ligands enhances receptor expression and initiates a positive feedback loop whereby receptor occupancy triggers increased RAGE expression, thereby perpetuating another wave of cellular activation. Sustained expression of RAGE by critical target cells, including endothelium, smooth muscle cells, mononuclear phagocytes, and neurons, in proximity to these ligands, sets the stage for chronic cellular activation and tissue damage. In a model of accelerated atherosclerosis associated with diabetes in genetically manipulated mice, blockade of cell surface RAGE by infusion of a soluble, truncated form of the receptor completely suppressed enhanced formation of vascular lesions. Amelioration of atherosclerosis in these diabetic/atherosclerotic animals by soluble RAGE occurred in the absence of changes in plasma lipids or glycemia, emphasizing the contribution of a lipid- and glycemia-independent mechanism(s) to atherogenesis, which we postulate to be interaction of RAGE with its ligands. Future studies using mice in which RAGE expression has been genetically manipulated and with selective low molecular weight RAGE inhibitors will be required to definitively assign a critical role for RAGE activation in diabetic vasculopathy. However, sustained receptor expression in a microenvironment with a plethora of ligand makes possible prolonged receptor stimulation, suggesting that interaction of cellular RAGE with its ligands could be a factor contributing to a range of important chronic disorders.
Alkaliflexus imshenetskii gen. nov. sp. nov., a new alkaliphilic gliding carbohydrate-fermenting bacterium with propionate formation from a soda lake

Anaerobic saccharolytic bacteria thriving at high pH values were studied in a cellulose-degrading enrichment culture originating from the alkaline lake, Verkhneye Beloye (Central Asia). In situ hybridization of the enrichment culture with 16S rRNA-targeted probes revealed that abundant, long, thin, rod-shaped cells were related to Cytophaga. Bacteria of this type were isolated with cellobiose and five isolates were characterized. Isolates were thin, flexible, gliding rods. They formed a spherical cyst-like structure at one cell end during the late growth phase. The pH range for growth was 7.5–10.2, with an optimum around pH 8.5. Cultures produced a pinkish pigment tentatively identified as a carotenoid. Isolates did not degrade cellulose, indicating that they utilized soluble products formed by so far uncultured hydrolytic cellulose degraders. Besides cellobiose, the isolates utilized other carbohydrates, including xylose, maltose, xylan, starch, and pectin. The main organic fermentation products were propionate, acetate, and succinate. Oxygen, which was not used as electron acceptor, impaired growth. A representative isolate, strain Z-7010, with Marinilabilia salmonicolor as the closest relative, is described as a new genus and species, Alkaliflexus imshenetskii. This is the first cultivated alkaliphilic anaerobic member of the Cytophaga/Flavobacterium/Bacteroides phylum.
Adaptive tuning of the sampling domain for dynamic-domain RRTs

Sampling based planners have become increasingly efficient in solving the problems of classical motion planning and its applications. In particular, techniques based on the rapidly-exploring random trees (RRTs) have generated highly successful single-query planners. Recently, a variant of this planner called dynamic-domain RRT was introduced by Yershova et al. (2005). It relies on a new sampling scheme that improves the performance of the RRT approach on many motion planning problems. One of the drawbacks of this method is that it introduces a new parameter that requires careful tuning. In this paper we analyze the influence of this parameter and propose a new variant of the dynamic-domain RRT, which iteratively adapts the sampling domain for the Voronoi region of each node during the search process. This allows automatic tuning of the parameter and significantly increases the robustness of the algorithm. The resulting variant of the algorithm has been tested on several path planning problems.
A Brief Survey of Recent Edge-Preserving Smoothing Algorithms on Digital Images

Edge preserving filters preserve the edges and its information while blurring an image. In other words they are used to smooth an image, while reducing the edge blurring effects across the edge like halos, phantom etc. They are nonlinear in nature. Examples are bilateral filter, anisotropic diffusion filter, guided filter, trilateral filter etc. Hence these family of filters are very useful in reducing the noise in an image making it very demanding in computer vision and computational photography applications like denoising, video abstraction, demosaicing, optical-flow estimation, stereo matching, tone mapping, style transfer, relighting etc. This paper provides a concrete introduction to edge preserving filters starting from the heat diffusion equation in olden to recent eras, an overview of its numerous applications, as well as mathematical analysis, various efficient and optimized ways of implementation and their interrelationships, keeping focus on preserving the boundaries, spikes and canyons in presence of noise. Furthermore it provides a realistic notion for efficient implementation with a research scope for hardware realization for further acceleration.
Unified role assignment framework for wireless sensor networks

ed from specific role-abstraction levels would enable the role-assignment algorithm to incorporate relevant state attributes as rules in the assignment of roles to nodes. It would also allow roles to control or tune to the desired behavior in response to undesirable local node/network events. This is known as role load balancing and it is pursued as role reassignment to repair role failures. We will discuss role failures and role load balancing later in this section. 4.4.1 URAF architecture overview Figure 4.11 shows the high level design architecture of the unified role-abstraction framework (URAF) in conjunction with a middleware (RBMW) that maps application specified services and expected QoS onto an ad hoc wireless sensor network with heterogeneous node capabilities. The design of the framework is modular such that each module provides higher levels of network abstractions to the modules directly interfaced with it. For example, at the lowest level, we have API’s that interface directly with the physical hardware. The resource usage and accounting module maintains up-to-date information on node and neighbor resource specifications and their availability. As discussed earlier, complex roles are composed of elementary roles and these are executed as tasks on the node. The state of the role execution at any point in time is cached by the task status table for that complex role. At the next higher abstraction, we calculate and maintain the overall role execution time and the energy dissipated by the node in that time. The available energy is thus calculated and cross checked against remaining battery capacity. There is another table that measures and maintains the failure/success of a role for every service schedule or period. This is used to calculate the load imposed by the service at different time intervals.
Argumentation, Ideology, and Issue Framing in Parliamentary Discourse

In argumentative political speech, the way an issue is framed may indicate the unstated assumptions of the argument and hence the ideological position of the speaker. Our goal is to use and extend our prior work on discourse parsing and the identification of argumentation schemes to identify specific instances of issue framing and, more generally, ideological positions as they are expressed in text. We are using annotated historical and contemporary proceedings of the British, Canadian, and Dutch parliaments, looking in particular at speech on the topic of immigration.
The Drosophila melanogaster tumor suppressor gene lethal(3)malignant brain tumor encodes a proline-rich protein with a novel zinc finger

The lethal(3)malignant brain tumor [t(3)mbt] gene causes, when mutated, malignant growth of the adult optic neuroblasts and ganglion mother cells in the larval brain and imaginal disc overgrowth. Via overlapping deficiencies a genomic region of approximately 6.0 kb was identified, containing l(3)mbt+ gene sequences. The l(3)mbt+ gene encodes seven transcripts of 5.8 kb, 5.65 kb, 5.35 kb, 5.25 kb, 5.0 kb, 4.4 kb and 1.8 kb. The putative MBT163 protein, encompassing 1477 amino acids, is proline-rich and contains a novel zinc finger. In situ hybridizations of whole mount embryos and larval tissues revealed l(3)mbt+ RNA ubiquitously present in stage 1 embryos and throughout embryonic development in most tissues. In third instar larvae l(3)mbt+ RNA is detected in the adult optic anlagen and the imaginal discs, the tissues directly affected by l(3)mbt mutations, but also in tissues, showing normal development in the mutant, such as the gut, the goblet cells and the hematopoietic organs.
Vibration-Induced Phase Noise: It Isn't Just About the Oscillator

Very often, actual, measured levels of vibration-induced phase noise in signal generation equipment are significantly higher than predicted. In many cases, this is because the frequency sensitivity of the oscillator or oscillator resonator to vibration was assumed to be the sole source of the degradation. As improvements in oscillator output signal static phase noise and vibration sensitivity have been realized, the effects of vibration in non-oscillator components and assemblies have become more dominant and cannot be ignored. Primary contributors to vibration-induced signal phase modulation include coaxial cables and cable connectors, narrowband filters, and enclosure mechanical resonances and non-linearities. Accurate measurement of vibration-induced, signal spectral degradation is often difficult due to the influence of both the measurement environment and test apparatus. In addition, isolating and eliminating the cause of out-of-spec hardware performance is time consuming and expensive. This paper will describe potential sources of vibration-induced signal spectral degradation and methods for obtaining and verifying adequately low vibration sensitivity in non-oscillator hardware.
Applications of prism adaptation: a tutorial in theory and method

Data and theory from prism adaptation are reviewed for the purpose of identifying control methods in applications of the procedure. Prism exposure evokes three kinds of adaptive or compensatory processes: postural adjustments (visual capture and muscle potentiation), strategic control (including recalibration of target position), and spatial realignment of various sensory-motor reference frames. Muscle potentiation, recalibration, and realignment can all produce prism exposure aftereffects and can all contribute to adaptive performance during prism exposure. Control over these adaptive responses can be achieved by manipulating the locus of asymmetric exercise during exposure (muscle potentiation), the similarity between exposure and post-exposure tasks (calibration), and the timing of visual feedback availability during exposure (realignment).