nils-herrmann/clean_scirepeval huggingface dataset:
Discovering Signals from Web Sources to Predict Cyber Attacks

Cyber attacks are growing in frequency and severity. Over the past year alone we have witnessed massive data breaches that stole personal information of millions of people and wide-scale ransomware attacks that paralyzed critical infrastructure of several countries. Combating the rising cyber threat calls for a multi-pronged strategy, which includes predicting when these attacks will occur. The intuition driving our approach is this: during the planning and preparation stages, hackers leave digital traces of their activities on both the surface web and dark web in the form of discussions on platforms like hacker forums, social media, blogs and the like. These data provide predictive signals that allow anticipating cyber attacks. In this paper, we describe machine learning techniques based on deep neural networks and autoregressive time series models that leverage external signals from publicly available Web sources to forecast cyber attacks. Performance of our framework across ground truth data over real-world forecasting tasks shows that our methods yield a significant lift or increase of F1 for the top signals on predicted cyber attacks. Our results suggest that, when deployed, our system will be able to provide an effective line of defense against various types of targeted cyber attacks.
Fog computing dynamic load balancing mechanism based on graph repartitioning

Because of cloud computing's high degree of polymerization calculation mode, it can't give full play to the resources of the edge device such as computing, storage, etc. Fog computing can improve the resource utilization efficiency of the edge device, and solve the problem about service computing of the delay-sensitive applications. This paper researches on the framework of the fog computing, and adopts Cloud Atomization Technology to turn physical nodes in different levels into virtual machine nodes. On this basis, this paper uses the graph partitioning theory to build the fog computing's load balancing algorithm based on dynamic graph partitioning. The simulation results show that the framework of the fog computing after Cloud Atomization can build the system network flexibly, and dynamic load balancing mechanism can effectively configure system resources as well as reducing the consumption of node migration brought by system changes.
How Effective is Test-Driven Development?

Test-Driven Development (TDD)  is one of the most referenced, yet least used agile practices in industry. Its neglect is due mostly to our lack of understanding of its effects on people, processes, and products. Although most people agree that writing a test case before code promotes more robust implementation and a better design, the unknown costs associated with TDD’s effects and the inversion of the ubiquitous programmer “code-then-test” paradigm has impeded TDD’s adoption.
Acquisition of a Symbian Smart phone ’ s Content with an On-Phone Forensic Tool

A smart phone is a handheld device that combines the functionality of a cellphone, a personal digital assistant (PDA) and other information appliances such a music player. These devices can however be used in a crime and would have to be quickly analysed for evidence. This data is collected using either a forensic tool which resides on a PC or specialised hardware. This paper proposes the use of an on-phone forensic tool to collect the contents of the device and store it on removable storage. This approach requires less equipment and can retrieve the volatile information that resides on the phone such as running processes. The paper discusses the Symbian operating system, the evidence that is stored on the device and contrasts the approach with that followed by other tools.
Self-oscillating buck driver for power LEDs

The self-oscillating converter is a popular circuit for cost-sensitive applications due to its simplicity and low component count. It is widely employed in mobile phone charges and as the stand-by power source in offline power supplies for data-processing equipment. However, this circuit almost was not explored for supplier Power LEDs. This paper presents a self-oscillating buck power electronics driver for supply directly Power LEDs, with no additional circuit. A simplified mathematical model of LED was used to characterize the self-oscillating converter for the power LED driver. In order to improve the performance of the proposed buck converter in this work the control of the light intensity of LEDs was done using a microcontroller to emulate PWM modulation with frequency 200 Hz. At using the converter proposed the effects of the LED manufacturing tolerances and drifts over temperature almost has no influence on the LED average current.
The effects of violent video games on adolescents : The overlooked influence of development

Recent acts of extreme violence involving teens and associated links to violent video games have led to an increased interest in video game violence. Research suggests that violent video games influence aggressive behavior, aggressive affect, aggressive cognition, and physiological arousal. Anderson and Bushman [ (2002) 27.] have posited a General Aggression Model (GAM) to explain the mechanism behind the link between violent video games and aggressive behavior. However, the influence of violent video games as a function of developmental changes across adolescence has yet to be addressed. The purpose of this review is to integrate the GAM with developmental changes that occur across adolescence. D 2002 Elsevier
Effect of facial makeup style recommendation on visual sensibility

As ubiquitous commerce using IT convergence technologies is coming, it is important for the strategy of cosmetic sales to investigate the sensibility and the degree of preference in the environment for which the makeup style has changed focusing on being consumer centric. The users caused the diversification of the facial makeup styles, because they seek makeup and individuality to satisfy their needs. In this paper, we proposed the effect of the facial makeup style recommendation on visual sensibility. Development of the facial makeup style recommendation system used a user interface, sensibility analysis, weather forecast, and collaborative filtering for the facial makeup styles to satisfy the user’s needs in the cosmetic industry. Collaborative filtering was adopted to recommend facial makeup style of interest for users based on the predictive relationship discovered between the current user and other previous users. We used makeup styles in the survey questionnaire. The pictures of makeup style details, such as foundation, color lens, eye shadow, blusher, eyelash, lipstick, hairstyle, hairpin, necklace, earring, and hair length were evaluated in terms of sensibility. The data were analyzed by SPSS using ANOVA and factor analysis to discover the most effective types of details from the consumer’s sensibility viewpoint. Sensibility was composed of three concepts: contemporary, mature, and individual. The details of facial makeup styles were positioned in 3D-concept space to relate each type of detail to the makeup concept regarding a woman’s cosmetics. Ultimately, this paper suggests empirical applications to verify the adequacy and the validity of this system.
Reprogramming mitochondrial metabolism in macrophages as an anti-inflammatory signal.

Mitochondria are master regulators of metabolism. Mitochondria generate ATP by oxidative phosphorylation using pyruvate (derived from glucose and glycolysis) and fatty acids (FAs), both of which are oxidized in the Krebs cycle, as fuel sources. Mitochondria are also an important source of reactive oxygen species (ROS), creating oxidative stress in various contexts, including in the response to bacterial infection. Recently, complex changes in mitochondrial metabolism have been characterized in mouse macrophages in response to varying stimuli in vitro. In LPS and IFN-γ-activated macrophages (M1 macrophages), there is decreased respiration and a broken Krebs cycle, leading to accumulation of succinate and citrate, which act as signals to alter immune function. In IL-4-activated macrophages (M2 macrophages), the Krebs cycle and oxidative phosphorylation are intact and fatty acid oxidation (FAO) is also utilized. These metabolic alterations in response to the nature of the stimulus are proving to be determinants of the effector functions of M1 and M2 macrophages. Furthermore, reprogramming of macrophages from M1 to M2 can be achieved by targeting metabolic events. Here, we describe the role that metabolism plays in macrophage function in infection and immunity, and propose that reprogramming with metabolic inhibitors might be a novel therapeutic approach for the treatment of inflammatory diseases.
The value of B2B relationships

The purpose of the paper is to contribute to the knowledge of how relationship value, trust, commitment, satisfaction and loyalty intentions are defined and relate to each other. It explores these relationships in the business-to-business (B2B) context by analysing manufacturing companies regarding to their main supplier.  After the literature review and several in-depth interviews, a method of empirical analysis consisting of quantitative intervention with an ad hoc survey using a structured questionnaire has been developed. Structural equations modeling is used to contrast the hypotheses on the links between the constructs analysed.  Confirmatory factor analysis provided satisfactory results. With regard to the direct effects of the relationship value, the three relationships being considered were verified: relationship value has a positive influence on trust, commitment and satisfaction towards the supplier. Also, and as already contrasted in previous studies, trust has a direct, positive effect on commitment. In addition, and regarding to loyalty antecedents, data did not confirm that greater trust would increase loyalty but commitment did, leading to the conclusion that the effect of trust on loyalty is only indirect through the effect it has on commitment. Loyalty was also positively affected by satisfaction with the supplier.  Limitations of this paper open lines for future research. First, it considers that future research could include other variables affecting long-term relationships. Second, longitudinal studies could serve to enrich the results and illustrate the complexity of the direction in the links among the variables and take into account dynamics. Third, a customer’s perspective in the perception of value has been adopted in this paper. Finally, relationship value has been operationalised as reflective and a formative approach could be adopted. Implications for managers are in line with the detected importance of satisfaction and commitment as key factors because of their impact on intention to continue and expand business with the supplier. Moreover, manufacturers should recognize the role of assessing and building relationship value with their partners as it has an impact – direct or indirect – on intentions to stay in the relationship.  In comparison, far less research has been done in the area of relationship value. This paper emphasizes the role of perceived relationship value in relationship B2B marketing studies providing a model and contributing to relationship management.
Physically Based Deformable Models in Computer Graphics

Physically based deformable models have been widely embraced by the Computer Graphics community. Many problems outlined in a previous survey by Gibson and Mirtich [GM97] have been addressed, thereby making these models interesting and useful for both offline and real-time applications, such as motion pictures and video games. In this paper, we present the most significant contributions of the past decade, which produce such impressive and perceivably realistic animations and simulations: finite element/difference/volume methods, mass-spring systems, meshfree methods, coupled particle systems and reduced deformable models based on modal analysis. For completeness, we also make a connection to the simulation of other continua, such as fluids, gases and melting objects. Since time integration is inherent to all simulated phenomena, the general notion of time discretization is treated separately, while specifics are left to the respective models. Finally, we discuss areas of application, such as elastoplastic deformation and fracture, cloth and hair animation, virtual surgery simulation, interactive entertainment and fluid/smoke animation, and also suggest areas for future research.
A survey on brain tumor detection using image processing techniques

Biomedical Image Processing is a growing and demanding field. It comprises of many different types of imaging methods likes CT scans, X-Ray and MRI. These techniques allow us to identify even the smallest abnormalities in the human body. The primary goal of medical imaging is to extract meaningful and accurate information from these images with the least error possible. Out of the various types of medical imaging processes available to us, MRI is the most reliable and safe. It does not involve exposing the body to any sorts of harmful radiation. This MRI can then be processed, and the tumor can be segmented. Tumor Segmentation includes the use of several different techniques. The whole process of detecting brain tumor from an MRI can be classified into four different categories: Pre-Processing, Segmentation, Optimization and Feature Extraction. This survey involves reviewing the research by other professionals and compiling it into one paper.
Design of heart rate variability processor for portable 3-lead ECG monitoring system-on-chip

The worldwide population of people over the age of 65 has been predicted to more than double from 1990 to 2025. Therefore, ubiquitous health-care systems have become an important topic of research in recent years. In this paper, an integrated system for portable electrocardiography (ECG) monitoring, with an on-board processor for time–frequency analysis of heart rate variability (HRV), is presented. The main function of proposed system comprises three parts, namely, an analog-to-digital converter (ADC) controller, an HRV processor, and a lossless compression engine. At the beginning, ECG data acquired from front-end circuits through the ADC controller is passed through the HRV processor for analysis. Next, the HRV processor performs real-time analysis of time–frequency HRV using the Lomb periodogram and a sliding window configuration. The Lomb periodogram is suited for spectral analysis of unevenly sampled data and has been applied to time–frequency analysis of HRV in the proposed system. Finally, the ECG data are compressed by 2.5 times using the lossless compression engine before output using universal asynchronous receiver/transmitter (UART). Bluetooth is employed to transmit analyzed HRV data and raw ECG data to a remote station for display or further analysis. The integrated ECG health-care system design proposed has been implemented using UMC 90 nm CMOS technology.
Interactive overlays: A new method for generating global journal maps from Web-of-Science data

Recent advances in methods and techniques enable us to develop an interactive overlay to the global map of science based on aggregated citation relations among the 9,162 journals contained in the Science Citation Index and Social Science Citation Index 2009 combined. The resulting mapping is provided by VOSViewer. We first discuss the pros and cons of the various options: cited versus citing, multidimensional scaling versus spring-embedded algorithms, VOSViewer versus Gephi, and the various clustering algorithms and similarity criteria. Our approach focuses on the positions of journals in the multidimensional space spanned by the aggregated journal-journal citations. A number of choices can be left to the user, but we provide default options reflecting our preferences. Some examples are also provided; for example, the potential of using this technique to assess the interdisciplinarity of organizations and/or document sets.
Bayesian models of object perception

The human visual system is the most complex pattern recognition device known. In ways that are yet to be fully understood, the visual cortex arrives at a simple and unambiguous interpretation of data from the retinal image that is useful for the decisions and actions of everyday life. Recent advances in Bayesian models of computer vision and in the measurement and modeling of natural image statistics are providing the tools to test and constrain theories of human object perception. In turn, these theories are having an impact on the interpretation of cortical function.
A Survey of Indoor Inertial Positioning Systems for Pedestrians

With the continual miniaturisation of sensors and processing nodes, Pedestrian Dead Reckoning (PDR) systems are becoming feasible options for indoor tracking. These use inertial and other sensors, often combined with domain-specific knowledge about walking, to track user movements. There is currently a wealth of relevant literature spread across different research communities. In this survey, a taxonomy of modern PDRs is developed and used to contextualise the contributions from different areas. Techniques for step detection, characterisation, inertial navigation and step-and-heading-based dead-reckoning are reviewed and compared. Techniques that incorporate building maps through particle filters are analysed, along with hybrid systems that use absolute position fixes to correct dead-reckoning output. In addition, consideration is given to the possibility of using smartphones as PDR sensing devices. The survey concludes that PDR techniques alone can offer good short- to medium- term tracking under certain circumstances, but that regular absolute position fixes from partner systems will be needed to ensure long-term operation and to cope with unexpected behaviours. It concludes by identifying a detailed list of challenges for PDR researchers.
Power of consumers using social media: Examining the influences of brand-related user-generated content on Facebook

This study examined the influences of positive brand-related user-generated content (UGC)1 shared via Facebook on consumer response. The model tested was derived from the SeOeR consumer response model (Mehrabian & Russell, 1974) that depicts the effects of environmental/informational stimuli on consumer response. Specific research objectives were to investigate whether brand-related UGC acts as a stimulus to activate consumer behavior in relation to brand and examine the processes by which brandrelated UGC influences consumer behavior. Using the SeOeR model, brand-related UGC was treated as stimulus, pleasure and arousal as emotional responses, and perceived information quality as cognitive response. Information pass-along, impulse buying, future-purchase intention, and brand engagement were treated as behavioral responses. Participants (n 1⁄4 533) resided in the U.S. and had a Facebook account. Mock Facebook fan pages including brand-related UGC were developed as visual stimuli and presented via an online self-administered questionnaire. SEM was used to analyze the data. Brandrelated UGC activated consumers' emotional and cognitive responses. Emotional and cognitive responses significantly influenced behavioral responses. Positive brand-related UGC exerts a significant influence on brand as it provokes consumers’ eWOM behavior, brand engagement, and potential brand
Alignment and Adjustment of Synchronously Tuned Multiple-Resonant-Circuit Filters

A simple method of "tuning up" a multiple-resonant-circuit filter quickly and exactly is demonstrated. The method may be summarized as follows: Very loosely couple a detector to the first resonator of the filter; then, proceeding in consecutive order, tune all odd-numbered resonators for maximum detector output, and all even-numbered resonators for minimum detector output (always making sure that the resonator immediately following the one to be resonated is completely detuned). Also considered is the correct adjustment of the two other types of constants in a filter. Filter constants can always be reduced to only three fundamental types: f0, dr(1/Qr), and Kr(r+1). This is true whether a lumped-element 100-kc filter or a distributed-element 5,000-mc unit is being considered. dr is adjusted by considering the rth resonator as a single-tuned circuit (all other resonators completely detuned) and setting the bandwidth between the 3-db-down-points to the required value. Kr(r+1) is adjusted by considering the rth and (r+1)th adjacent resonators as a double-tuned circuit (all other resonators completely detuned) and setting the bandwidth between the resulting response peaks to the required value. Finally, all the required values for K and Q are given for an n-resonant-circuit filter that will produce the response (Vp/V)2=1 +(Δf/Δf3db)2n.
Wideband planar horn antenna using substrate integrated waveguide technique

A substrate-integrated waveguide (SIW) H-plane sectoral horn antenna, with significantly improved bandwidth, is presented. A tapered ridge, consists of a simple arrangement of vias on the side flared wall within the multilayer substrate, is introduced to enlarge the operational bandwidth. A simple feed configuration is suggested to provide the propagating wave for the antenna structure. The proposed antenna is simulated by two well-known full wave packages, the Ansoft HFSS and the CST microwave studio. Close agreement between both simulation results is obtained. The designed antenna shows good radiation characteristics and low VSWR, lower than 2.5, for the whole frequency range of 18– 40 GHz.
The Burrows-Wheeler Transform for Block Sorting Text Compression: Principles and Improvements

A recent development in text compression is a “block sorting” algorithm which permutes the input text according to a special sort procedure and then processes the permuted text with Move-to-Front and a final statistical compressor. The technique combines good speed with excellent compression performance. This paper investigates the fundamental operation of the algorithm and presents some improvements based on that analysis. Although block sorting is clearly related to previous compression techniques, it appears that it is best described by techniques derived from work by Shannon in 1951 on the prediction and entropy of English text. A simple model is developed which relates the compression to the proportion of zeros after the MTF stage. Short Title Block Sorting Text Compression Author Peter M. Fenwick Affiliation Department of Computer Science The University of Auckland Private Bag 92019 Auckland, New Zealand. Postal Address Dr P.M. Fenwick Dept of Computer Science The University of Auckland Private Bag 92019 Auckland New Zealand. E-mail p_fenwick@cs.auckland.ac.nz Telephone + 64 9 373 7599 ext 8298