nils-herrmann/clean_scirepeval huggingface dataset:
A Finite Difference Domain Decomposition Method Using Local Corrections for the Solution of Poisson ’ s Equation

We present a domain decomposition method for computing finite difference solutions to the Poisson equation with infinite domain boundary conditions. Our method is a finite difference analogue of Anderson’s Method of Local Corrections. The solution is computed in three steps. First, fine-grid solutions are computed in parallel using infinite domain boundary conditions on each subdomain. Second, information is transferred globally through a coarse-grid representation of the charge, and a global coarse-grid solution is found. Third, a fine-grid solution is computed on each subdomain using boundary conditions set with the global coarse solution, corrected locally with fine-grid information from nearby subdomains. There are three important features of our algorithm. First, our method requires only a single iteration between the local fine-grid solutions and the global coarse representation. Second, the error introduced by the domain decomposition is small relative to the solution error obtained in a single-grid calculation. Third, the computed solution is second-order accurate and only weakly dependent on the coarse-grid spacing and the number of subdomains. As a result of these features, we are able to compute accurate solutions in parallel with a much smaller ratio of communication to computation than more traditional domain decomposition methods. We present results to verify the overall accuracy, confirm the small communication costs, and demonstrate the parallel scalability of the method.
SNIFFER: A high-accuracy malware detector for enterprise-based systems

In the continual battle between malware attacks and antivirus technologies, both sides strive to deploy their techniques at always lower layers in the software system stack. The goal is to monitor and control the software executing in the levels above their own deployment, to detect attacks or to defeat defenses. Recent antivirus solutions have gone even below the software, by enlisting hardware support. However, so far, they have only mimicked classic software techniques by monitoring software clues of an attack. As a result, malware can easily defeat them by employing metamorphic manifestation patterns. With this work, we propose a hardware-monitoring solution, SNIFFER, which tracks malware manifestations in system-level behavior, rather than code patterns, and it thus cannot be circumvented unless malware renounces its very nature, that is, to attack. SNIFFER leverages in-hardware feature monitoring, and uses machine learning to assess whether a system shows signs of an attack. Experiments with a virtual SNIFFER implementation, which supports 13 features and tests against five common network-based malicious behaviors, show that SNIFFER detects malware nearly 100% of the time, unless the malware aggressively throttle its attack. Our experiments also highlight the need for machine-learning classifiers employing a range of diverse system features, as many of the tested malware require multiple, seemingly disconnected, features for accurate detection.
Past , Present and Future of Hallyu ( Korean Wave )

Hallyu refers to the phenomenon of Korean popular culture which came into vogue in Southeast Asia and mainland China in late 1990s. Especially, hallyu is very popular among young people enchanted with Korean music (K-pop), dramas (K-drama), movies, fashion, food, and beauty in China, Taiwan, Hong Kong, and Vietnam, etc. This cultural phenomenon has been closely connected with multi-layered transnational movements of people, information and capital flows in East Asia. Since the 15 century, East and West have been the two subjects of cultural phenomena. Such East–West dichotomy was articulated by Westerners in the scholarly tradition known as “Orientalism. the Age of Exploration (1400–1600), West didn’t only take control of East by military force, but also created a new concept of East/Orient, as Edward Said analyzed it expertly in his masterpiece Orientalism in 1978. Throughout the history of imperialism for nearly 4-5 centuries, west was a cognitive subject, but East was an object being recognized by the former. Accordingly, “civilization and modernization” became the exclusive properties of which West had copyright (?!), whereas East was a “sub-subject” to borrow or even plagiarize from Western standards. In this sense, (making) modern history in East Asia was a compulsive imitation of Western civilization or a catch-up with the West in other wards. Thus, it is interesting to note that East Asian people, after gaining economic power through “compressed modernization,” are eager to be main agents of their cultural activities in and through the enjoyment of East Asian popular culture in a postmodern era. In this transition from Westerncentered into East Asian-based popular culture, they are no longer sub-subjects of modernity.
Modeling the control of planar cell polarity.

A growing list of medically important developmental defects and disease mechanisms can be traced to disruption of the planar cell polarity (PCP) pathway. The PCP system polarizes cells in epithelial sheets along an axis orthogonal to their apical-basal axis. Studies in the fruitfly, Drosophila, have suggested that components of the PCP signaling system function in distinct modules, and that these modules and the effector systems with which they interact function together to produce emergent patterns. Experimental methods allow the manipulation of individual PCP signaling molecules in specified groups of cells; these interventions not only perturb the polarization of the targeted cells at a subcellular level, but also perturb patterns of polarity at the multicellular level, often affecting nearby cells in characteristic ways. These kinds of experiments should, in principle, allow one to infer the architecture of the PCP signaling system, but the relationships between molecular interactions and tissue-level pattern are sufficiently complex that they defy intuitive understanding. Mathematical modeling has been an important tool to address these problems. This article explores the emergence of a local signaling hypothesis, and describes how a local intercellular signal, coupled with a directional cue, can give rise to global pattern. We will discuss the critical role mathematical modeling has played in guiding and interpreting experimental results, and speculate about future roles for mathematical modeling of PCP. Mathematical models at varying levels of inhibition have and are expected to continue contributing in distinct ways to understanding the regulation of PCP signaling.
Implementation of a three phase grid synchronization for doubly-fed induction generators in wind energy system

This paper implements of a three phase grid synchronization for doubly-fed induction generators (DFIG) in wind generation system. A stator flux oriented vector is used to control the variable speed DFIG for the utility grid synchronization, active power and reactive power. Before synchronization, the stator voltage is adjusted equal to the amplitude of the grid voltage by controlling the d-axis rotor current. The frequency of stator voltage is synchronized with the grid by controlling the rotor flux angle equal to the difference between the rotor angle (mechanical speed in electrical degree) and the grid angle. The phase shift between stator voltage and the grid voltage is compensated by comparing the d-axis stator voltage and the grid voltage to generate a compensation angle. After the synchronization is achieved, the active power and reactive power are controlled to extract the optimum energy capture and fulfilled with the standard of utility grid requirements for wind turbine. The q-axis and d-axis rotor current are used to control the active and reactive power respectively. The implementation was conducted on a 1 kW conventional induction wound rotor controlled the digital signal controller board. The experimentation results confirm that the DFIG can be synchronized to the utility grid and the active power and the reactive power can be independently controlled.
Emotional disorders: cluster 4 of the proposed meta-structure for DSM-V and ICD-11.

The extant major psychiatric classifications DSM-IV, and ICD-10, are atheoretical and largely descriptive. Although this achieves good reliability, the validity of a medical diagnosis would be greatly enhanced by an understanding of risk factors and clinical manifestations. In an effort to group mental disorders on the basis of aetiology, five clusters have been proposed. This paper considers the validity of the fourth cluster, emotional disorders, within that proposal.



We reviewed the literature in relation to 11 validating criteria proposed by a Study Group of the DSM-V Task Force, as applied to the cluster of emotional disorders.



An emotional cluster of disorders identified using the 11 validators is feasible. Negative affectivity is the defining feature of the emotional cluster. Although there are differences between disorders in the remaining validating criteria, there are similarities that support the feasibility of an emotional cluster. Strong intra-cluster co-morbidity may reflect the action of common risk factors and also shared higher-order symptom dimensions in these emotional disorders.



Emotional disorders meet many of the salient criteria proposed by the Study Group of the DSM-V Task Force to suggest a classification cluster.
A comparative study of social network analysis tools

Social networks have known an important development since the appea ranc of web 2.0 platforms. This leads to a growing need for social network mining and social network analysis (SN A) methods and tools in order to provide deeper analysis of the network but also to detect communities in view of various applications. For this reason, a lot of works have focused on graph characterization or clustering and several new SNA tools have be en developed over these last years. The purpose of this article is to compare some of these tools which implement algorithms dedicated to social network analysis.
Virtual Reality and Spatial Cognition

With this article the significance of Virtual Reality within the field of spatial cognition is outlined. The role of Virtual Reality is grouped in three sections addressing (i) the current and latest technology of Virtual Reality regarding the two main functions within Virtual Reality, i.e., technology to interact with Virtuality (input devices used to record observer actions and output devices used to simulate sensory stimuli) and technology for presenting the virtual environments to the user, (ii) the usage of this technology for the purpose of research in the field of spatial cognition regarding behavioral and neuronal processes (discussing advantages and disadvantages of Virtual Reality), and (iii) Virtual Reality experiments and their results relevant in current research of spatial cognition covering place memory, wayfinding in large scale spaces, and the neural representations of spatial features.
Plasma frequency selective surface for GNSS applications

We propose a low-cost and reconfigurable plasma frequency selective surface (PFSS) with fluorescent lamps for Global Navigation Satellite System (GNSS) applications. Although many antenna topologies exist for broadband operation, antennas with plasma frequency selective surfaces are limited and offer certain advantages. Especially for GNSS applications, antenna performance can be demanding given the limited space for the antenna. In almost all GNSS antennas, a perfect electric conductor (PEC) ground is utilized. In this study, we compare PEC and PFSS reflectors over entire GNSS bandwidth. We believe PFSS structure can not only provide the benefits of PEC ground but also lower antenna profile.
Automatically Discovering, Reporting and Reproducing Android Application Crashes

Mobile developers face unique challenges when detecting and reporting crashes in apps due to their prevailing GUI event-driven nature and additional sources of inputs (e.g., sensor readings). To support developers in these tasks, we introduce a novel, automated approach called CRASHSCOPE. This tool explores a given Android app using systematic input generation, according to several strategies informed by static and dynamic analyses, with the intrinsic goal of triggering crashes. When a crash is detected, CRASHSCOPE generates an augmented crash report containing screenshots, detailed crash reproduction steps, the captured exception stack trace, and a fully replayable script that automatically reproduces the crash on a target device(s). We evaluated CRASHSCOPE's effectiveness in discovering crashes as compared to five state-of-the-art Android input generation tools on 61 applications. The results demonstrate that CRASHSCOPE performs about as well as current tools for detecting crashes and provides more detailed fault information. Additionally, in a study analyzing eight real-world Android app crashes, we found that CRASHSCOPE's reports are easily readable and allow for reliable reproduction of crashes by presenting more explicit information than human written reports.
Exercise in an electrotactic flow chamber ameliorates age-related degeneration in Caenorhabditis elegans

Degeneration is a senescence process that occurs in all living organisms. Although tremendous efforts have been exerted to alleviate this degenerative tendency, minimal progress has been achieved to date. The nematode, Caenorhabditis elegans (C. elegans), which shares over 60% genetic similarities with humans, is a model animal that is commonly used in studies on genetics, neuroscience, and molecular gerontology. However, studying the effect of exercise on C. elegans is difficult because of its small size unlike larger animals. To this end, we fabricated a flow chamber, called "worm treadmill," to drive worms to exercise through swimming. In the device, the worms were oriented by electrotaxis on demand. After the exercise treatment, the lifespan, lipofuscin, reproductive capacity, and locomotive power of the worms were analyzed. The wild-type and the Alzheimer's disease model strains were utilized in the assessment. Although degeneration remained irreversible, both exercise-treated strains indicated an improved tendency compared with their control counterparts. Furthermore, low oxidative stress and lipofuscin accumulation were also observed among the exercise-treated worms. We conjecture that escalated antioxidant enzymes imparted the worms with an extra capacity to scavenge excessive oxidative stress from their bodies, which alleviated the adverse effects of degeneration. Our study highlights the significance of exercise in degeneration from the perspective of the simple life form, C. elegans.
Alternatives to Incomplete Colonoscopy.

A thorough and complete colonoscopy is critically important in preventing colorectal cancer. Factors associated with difficult and incomplete colonoscopy include a poor bowel preparation, severe diverticulosis, redundant colon, looping, adhesions, young and female patients, patient discomfort, and the expertise of the endoscopist. For difficult colonoscopy, focusing on bowel preparation techniques, appropriate sedation and adjunct techniques such as water immersion, abdominal pressure techniques, and patient positioning can overcome many of these challenges. Occasionally, these fail and other alternatives to incomplete colonoscopy have to be considered. If patients have low risk of polyps, then noninvasive imaging options such as computed tomography (CT) or magnetic resonance (MR) colonography can be considered. Novel applications such as Colon Capsule™ and Check-Cap are also emerging. In patients in whom a clinically significant lesion is noted on a noninvasive imaging test or if they are at a higher risk of having polyps, balloon-assisted colonoscopy can be performed with either a single- or double-balloon enteroscope or colonoscope. The application of these techniques enables complete colonoscopic examination in the vast majority of patients.
Virgin olive oil reduces blood pressure in hypertensive elderly subjects.

Hypertension is one of the most important risk factors for coronary heart disease. Recent studies have pointed out the possibility that virgin olive oil (VOO) may lower blood pressure in hypertensive (HT) subjects. However, until the date there is scarce information regarding elderly people. The present study was designed to assess the effect of dietary VOO on blood pressure in medically treated hypertensive elderly patients.



31 medically treated HT elderly patients and 31 normotensive (NT) elderly volunteers participated in a randomized sequential dietary intervention. Subjects consumed diets enriched in sunflower oil (SO) or VOO for 4 weeks each with a 4-week washout period between them.



VOO reduced total and LDL-cholesterol in NT but not in HT (P < 0.01) and the concentrations were lower than in the group consuming SO. In contrast, no significant differences were found in the levels of tocopherols among the groups studied. Iron-induced oxidation of LDL resulted in a complete loss of monoacylglycerols (MG) and diacylglycerols (DG) and a reduction in triacylglycerols (TG) (60-80%), which was found to be greater in HT (P < 0.01) with no effect of diet. VOO consumption normalized systolic pressure in the HT group (136 +/- 10 mmHg) compared to SO (150 +/- 8 mmHg).



Dietary VOO proved to be helpful in reducing the systolic pressure of treated HT elderly subjects. However, a greater resistance to the lowering effect of VOO of total and LDL-cholesterol and a greater susceptibility to TG oxidation was detected in these patients.
Flexible sliding frame for gait enhancing mechatronic system (GEMS)

This paper presents a novel flexible sliding thigh frame for a gait enhancing mechatronic system. With its two-layered unique structure, the frame is flexible in certain locations and directions, and stiff at certain other locations, so that it can fît well to the wearer's thigh and transmit the assisting torque without joint loading. The paper describes the basic mechanics of this 3D flexible frame and its stiffness characteristics. We implemented the 3D flexible frame on a gait enhancing mechatronic system and conducted experiments. The performance of the proposed mechanism is verified by simulation and experiments.
VSL#3 probiotics exerts the anti-inflammatory activity via PI3k/Akt and NF-κB pathway in rat model of DSS-induced colitis

VSL#3 probiotics can be effective on induction and maintenance of the remission of clinical ulcerative colitis. However, the mechanisms are not fully understood. The aim of this study was to examine the effects of VSL#3 probiotics on dextran sulfate sodium (DSS)-induced colitis in rats. Acute colitis was induced by administration of DSS 3.5 % for 7 days in rats. Rats in two groups were treated with either 15 mg VSL#3 or placebo via gastric tube once daily after induction of colitis; rats in other two groups were treated with either the wortmannin (1 mg/kg) via intraperitoneal injection or the wortmannin + VSL#3 after induction of colitis. Anti-inflammatory activity was assessed by myeloperoxidase (MPO) activity. Expression of inflammatory related mediators (iNOS, COX-2, NF-κB, Akt, and p-Akt) and cytokines (TNF-α, IL-6, and IL-10) in colonic tissue were assessed. TNF-α, IL-6, and IL-10 serum levels were also measured. Our results demonstrated that VSL#3 and wortmannin have anti-inflammatory properties by the reduced disease activity index and MPO activity. In addition, administration of VSL#3 and wortmannin for 7 days resulted in a decrease of iNOS, COX-2, NF-κB, TNF-α, IL-6, and p-Akt and an increase of IL-10 expression in colonic tissue. At the same time, administration of VSL#3 and wortmannin resulted in a decrease of TNF-α and IL-6 and an increase of IL-10 serum levels. VSL#3 probiotics therapy exerts the anti-inflammatory activity in rat model of DSS-induced colitis by inhibiting PI3K/Akt and NF-κB pathway.
Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification

Person re-identification aims to match images of the same person across disjoint camera views, which is a challenging problem in video surveillance. The major challenge of this task lies in how to preserve the similarity of the same person against large variations caused by complex backgrounds, mutual occlusions and different illuminations, while discriminating the different individuals. In this paper, we present a novel deep ranking model with feature learning and fusion by learning a large adaptive margin between the intra-class distance and inter-class distance to solve the person re-identification problem. Specifically, we organize the training images into a batch of pairwise samples. Treating these pairwise samples as inputs, we build a novel part-based deep convolutional neural network (CNN) to learn the layered feature representations by preserving a large adaptive margin. As a result, the final learned model can effectively find out the matched target to the anchor image among a number of candidates in the gallery image set by learning discriminative and stable feature representations. Overcoming the weaknesses of conventional fixed-margin loss functions, our adaptive margin loss function is more appropriate for the dynamic feature space. On four benchmark datasets, PRID2011, Market1501, CUHK01 and 3DPeS, we extensively conduct comparative evaluations to demonstrate the advantages of the proposed method over the state-of-the-art approaches in person re-identification.
Playing and acquiring heart sounds and electrocardiogram simultaneously based on LabVIEW

The paper describes a comprehensive system - a digital phonocardiogram (PCG) analyzer, which can acquire heart sounds and electrocardiogram (ECG) in parallel, synchronize the display and play of heart sounds and unite auscultation and check phonocardiogram. The hardware which controlled by MCU C8051 F340, acquires heart sounds and ECG synchronously, and then sends them to indicators, respectively. Heat sounds are displayed and played simultaneously by controlling the moment of writing to indicator and sound output device. In clinical test, heat sound can be successfully located with ECG and real-time played.