Miracle-dz/UniFAR-FTUs huggingface dataset:
Kernel-Space Intrusion Detection Using Software-Defined Networking

Software-Defined Networking (SDN) has encountered serious Denial of Service (DoS) attacks. However, existing approaches cannot sufficiently address the serious attacks in the real world because they often present significant overhead and they require long detection and mitigation time. In this paper, we propose a lightweight kernel-level intrusion detection and prevention framework called KernelDetect, which leverages modular string searching and filtering mechanisms with SDN techniques. In KernelDetect, we sufficiently utilize the strengths of the Aho-Corasick and Bloom filter to design KernelDetect by using SDN. We further experimentally compare it with SNORT and BROS, two conventional and popular Intrusion Detection and Prevention System (IDPS) on the Global Environment for Networking Innovations (GENI), a real-world testbed. Our comprehensive studies through experimental data and analysis show that KernelDetect is more efficient and effective than SNORT and BROS. Received on 01 May 2018; accepted on 02 June 2018; published on 09 October 2018
An Introduction to the Source Concept for Antennas

Antenna parameters particularly relevant to electrically small antenna design are reviewed in this paper. Source current definitions are accentuated leading to the introduction of the source concept which advanta- geously utilize only spatially bounded quantities. The framework of the source concept incorporates powerful techniques such as structural and modal decomposition, operator's inversion and current optimization, thus open- ing new, challenging possibilities for antenna design, analysis and synthesis.
Scaling spatial big data in a location-based social network

The widespread of the World Wide Web has resulted in a high volume of volunteered generated information using different formats including text, photography and video. The technological advances of recent years enabled the emergence and the popularization of various mobile devices equipped with GPS and connectivity to the Internet. This scenario contributed to the advent of several location-based applications and aroused the interest of many users in the geographical context of the information. An example of such applications are the Location-Based Social Networks (LBSN), in which the users interact with information classified by geographic region, as in the context of Smart Cities, in which citizens can interact pinning their criticisms, opinions and comments on various topics related to their city or neighborhood. The LBSNs have increasingly attracted the interest of the population and have consequently registered an increase in both the number of users interacting and the volume of shared information. This popularity brings up concerns about scalability, since it is essential to provide an environment that maintains the users active and motivated for contributing. Thus, the LBSNs must ensure acceptable response times, especially in spatial queries performed by their users, otherwise such applications may collapse due to the abandonment of their faithful users. Among several proposals of LBSNs in the community, it is still difficult to find out approaches concerned in scalability. In this context, this paper proposes an approach based on Big Data technologies to provide scalability in LBSNs and thus handle large volumes of spatial data. Our approach exploits NoSQL databases, the Map/Reduce technique and the development of extensions for indexing and querying Spatial Big Data.
Structural Insights at Sub-Ångstrom, Medium and Low Resolution: Crystallization of Trypsin, Bacterioferritin, Photosynthetic Reaction Center, and Photosynthetic Core Complex

The catalytic action of serine proteases depends on the interplay of a nucleophile, a general base and a general acid. The catalytic triad is composed of serine, histidine and aspartate residues. The serine acts as a nucleophile while the histidine plays a dual role as the general base or acid at different steps of the reaction. However, the role of aspartate is unclear. I recovered an ultrahigh resolution (0.93 Å) X-ray structure of a complex formed between trypsin and a canonical inhibitor. At subångstrom resolution, hydrogen atoms could be visualized, giving a clue to the protonation state of the catalytic residues. By comparing this with the theoretical electron density calculated by density theory functional, the protonation states of the catalytic histidine and aspartate are discussed. Hence, a refined mechanism for serine protease action is proposed in this thesis. Photosystem harvests energy from sunlight with near 100% quantum yield. To study light-induced structural changes of the photosynthetic reaction center from purple non-sulfur bacterium Blastochloris viridis using X-ray crystallography, robust protein crystals with tight crystal packing are prerequisite. In this thesis, lipidic-sponge phase crystallization method was used and yielded well diffracting crystals for structure determination. Crystals showed a type I packing and a 1.86 Å resolution structure was determined with four lipid molecules captured in the structure. Moreover, I demonstrated that an occupied QB binding site can be obtained by co-crystallizing with UQ2 using the sponge phase crystallization method. However, attempting to crystallize the reaction center-light harvesting 1 core complex, a 440 kDa membrane protein complex of total 54 putative subunits, it required different crystallization methods. Here, the resolution has been optimized to beyond 8 Å by using the lipidic bicelle crystallization method. Conflict between the free but potential toxic Fe(II) and the insolubility of Fe(III) led to the evolution of bacterioferritin in bacteria, which functions as an iron storage and detoxification protein. Bacterioferritin from Blastochloris viridis (Bv Bfr) was crystallized and the structure was solved to 1.58 Å resolution. With the combination of X-ray structure, redundancy PCR and tandem mass spectrometry, the previously unknown amino acid sequence of Bv Bfr was determined. Conformational states of the ferroxidase center which undergoes reorganization upon different soakings were trapped. One water-like small ligand coordinated to the Fe1 binding site was captured in the Fe(II)-soaked structure. By density functional theory calculations the character of this small legend was rationalized. In addition, the structure and mechanism of iron import of the protein was studied and discussed. Finally, the redox-state of the heme in the crystals with and without Fe(II)-soaking treatment was studied by single crystal UV-VIS microspectrophotometry, before and after the X-ray exposure.
Inherent structure theory of liquids in the hard‐sphere limit

Atomic pair correlation functions for liquids provide an image of temperature‐dependent short‐range order. If the thermal ensemble of atomic configurations is mapped (by steepest descent on the potential hypersurface) onto potential energy minima, the pair correlation function from the resulting transformed configurations exhibits substantial image enhancement, revealing short‐range order in a much more vivid fashion. Previous studies of model atomic liquids have demonstrated that at fixed density, mapped short‐range order is virtually independent of the initial temperature, and thereby amounts to an ‘‘inherent structure’’ for the liquid. The present paper investigates steepest‐descent mapping and inherent structure for hard spheres, construed as the infinite‐n limit for pair potentials (a/r)n. Methods used are both analytical and simulational, the latter involving molecular dynamics for n=12 and 24. Results show that inherent structures in the hard‐sphere limit are randomly packed configurations, where p.
Dense Fusion Classmate Network for Land Cover Classification

Recently, FCNs based methods have made great progress in semantic segmentation. Different with ordinary scenes, satellite image owns specific characteristics, which elements always extend to large scope and no regular or clear boundaries. Therefore, effective mid-level structure information extremely missing, precise pixel-level classification becomes tough issues. In this paper, a Dense Fusion Classmate Network (DFCNet) is proposed to adopt in land cover classification. DFCNet is jointly trained with auxiliary road dataset seemed as “classmate”, which properly compensates the lack of mid-level information. Meanwhile, a dense fusion module is also integrated, which guarantees the precise discrimination of confused pixels and benefits the network optimization from scratch. Score on Deep- Globe land cover classification competition shows that our approach has achieved good performance.
Selective ATP-Competitive Inhibitors of TOR Suppress Rapamycin-Insensitive Function of TORC2 in S. cerevisiae

Abstract The target of rapamycin (TOR) is a critical regulator of growth, survival and energy metabolism. The allosteric TORC1 inhibitor rapamycin has been used extensively to elucidate the TOR related signal pathway but is limited by its inability to inhibit TORC2. We used an unbiased cell proliferation assay of a kinase inhibitor library to discover QL-IX-55 as a potent inhibitor of S. cerevisiae growth. The functional target of QL-IX-55 is the ATP-binding site of TOR2 as evidenced by the discovery of resistant alleles of TOR2 through rational design and unbiased selection strategies. QL-IX-55 is capable of potently inhibiting both TOR complex 1 and 2 (TORC1 and TORC2) as demonstrated by biochemical IP kinase assays (IC50: <50 nM) and cellular assays for inhibition of substrate YPK1 phosphorylation. In contrast to Rapamycin, QL-IX-55 is capable of inhibiting TORC2-dependent transcription which suggests that this compound will be a powerful probe to dissect the Tor2/TORC2 related signaling pathway in yeast. The resurgence of pathogenic yeast infections has stimulated interest in developing new classes of antifungal agents. (
Does Ozone Induce a C3-CAM Transition in Mesembryanthemum crystallinum Leaves?

Summary NIEWIADOMSKA E. , PATER B. & MISZALSKI Z. 2002. Does ozone induce a C3-CAM transition in Mesembryanthemum crystallinum leaves? - Phyton (Horn, Austria) 42 (1): 69-78, with 7 figures. - English with German summary. The effect of ozone (80 and 200 ppb) on C3-CAM intermediate plant M. crystallinum was tested. Fumigation with ozone increased the osmolarity of the cell sap and stimulated the activity of ascorbate peroxidase. As shown by unchanged value of day/night A malate, ozone treatment did not induce a C3-CAM shift, despite of the stimulation of CAM-related decarboxylating enzymes. The enhanced respiratory activity and stimulated fumarase activity contributed to supply energy for the repair processes.
Towards Reactive Acoustic Jamming for Personal Voice Assistants

Personal Voice Assistants (PVAs) such as the Amazon Echo are commonplace and it is now likely to always be in range of at least one PVA. Although the devices are very helpful they are also continuously monitoring conversations. When a PVA detects a wake word, the immediately following conversation is recorded and transported to a cloud system for further analysis. In this paper we investigate an active protection mechanism against PVAs: reactive jamming. A Protection Jamming Device (PJD) is employed to observe conversations. Upon detection of a PVA wake word the PJD emits an acoustic jamming signal. The PJD must detect the wake word faster than the PVA such that the jamming signal still prevents wake word detection by the PVA. The paper presents an evaluation of the effectiveness of different jamming signals. We quantify the impact of jamming signal and wake word overlap on jamming success. Furthermore, we quantify the jamming false positive rate in dependence of the overlap. Our evaluation shows that a 100% jamming success can be achieved with an overlap of at least 60% with a negligible false positive rate. Thus, reactive jamming of PVAs is feasible without creating a system perceived as a noise nuisance.
seven years , 11 months : A brief report

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Effect of varying experimental conditions on the viscosity of α -pinene derived secondary organic material

Abstract. Knowledge of the viscosity of particles containing secondary organic material (SOM) is useful for predicting reaction rates and diffusion in SOM particles. In this study we investigate the viscosity of SOM particles as a function of relative humidity and SOM particle mass concentration, during SOM synthesis. The SOM was generated via the ozonolysis of α-pinene at
Are Smell-Based Metrics Actually Useful in Effort-Aware Structural Change-Proneness Prediction? An Empirical Study

Bad code smells (also named as code smells) are symptoms of poor design choices in implementation. Existing increases the likelihood of subsequent changes (i.e., change-proness). However, to the best of our knowledge, no prior studies have leveraged smell-based metrics to predict particular change type (i.e., structural changes). Moreover, when evaluating the effectiveness of smell-based metrics in structural change-proneness prediction, none of existing studies take into account of the effort inspecting those change-prone source code. In this paper, we consider five smell-based metrics for effort-aware structural change-proneness prediction and compare these metrics with a baseline of well-known CK metrics in predicting particular categories of change types. Specifically, we first employ univariate logistic regression to analyze the correlation between each smellbased metric and structural change-proneness. Then, we build multivariate prediction models to examine the effectiveness of smell-based metrics in effort-aware structural change-proneness prediction when used alone and used together with the baseline metrics, respectively. Our experiments are conducted on six Java open-source projects with up to 60 versions and results indicate that: (1) all smell-based metrics are significantly related to structural change-proneness, except metric ANOS in hive and SCM in camel after removing confounding effect of file size; (2) in most cases, smell-based metrics outperform the baseline metrics in predicting structural change-proneness; and (3) when used together with the baseline metrics, the smell-based metrics are more effective to predict change-prone files with being aware of inspection effort.
“Books Can Hurt and Help You”: A Case Study of a Reader's Relationships with Books and the World

This case study highlights ways in which one girl, school-identified as a “struggling reader,” attempted to construct particular social identities and develop peer relationships through her selection of culturally relevant literature. Situated in a rural community in the South, this case study stems from a larger eight-month qualitative study investigating struggling readers' conceptions of reading and the sociocultural contexts surrounding their selection of books for personal use. Findings address the significant influences of school culture, social capital, and critical consciousness upon this girl's selection of books as she develops particular reading personas in response to perceived social norms, attempts to thwart episodic bullying, and ultimately gain acceptance in her community.
The New Complex-Valued Wavelet Neural Network

A new complex-valued wavelet neural network is proposed in this paper, by introducing a modified complex-valued back propagation algorithm, in which a new error function is to be minimized by the algorithm. The improvement performance is further confirmed by the simulation results, which show that the modified algorithm is simpler than the conventional algorithm, and has better convergence, better stability and faster running speed.
OmegaWINGS: OmegaCAM-VST observations of WINGS galaxy clusters

Context. Wide-field observations targeting galaxy clusters at low redshift are complementary to field surveys and provide the local benchmark for detailed studies of the most massive haloes in the local Universe. The Wide-field Nearby Galaxy-cluster Survey (WINGS) is a wide-field multi-wavelength survey of X-ray selected clusters at z = 0.04-0.07. The original 34' x 34' WINGS field of view has now been extended to cover a 1 deg(2) field with both photometry and spectroscopy. Aims. We present the Johnson B- and V-band OmegaCAM at the VST observations of 46 WINGS clusters together with the data reduction, data quality, and Sextractor photometric catalogues. Methods. The data reduction was carried out with a modified version of the ESO-MVM (also known as ALAMBIC) reduction package, adding a cross-talk correction, the gain harmonisation, and a control procedure for problematic CCDs. The stray-light component was corrected for by employing our own observations of populated stellar fields. Results. With a median seeing of 1 '' in both bands, our 25-min exposures in each band typically reach the 50% completeness level at V = 23.1 mag. The quality of the astrometric and photometric accuracy has been verified by comparison with the 2MASS and SDSS astrometry, and SDSS and previous WINGS imaging. Star-to-galaxy separation and sky-subtraction procedure were tested comparing them with previous WINGS data. Conclusions. The Sextractor photometric catalogues are publicly available at the CDS and will be included in the next release of the WINGS database on the Virtual Observatory together with the OmegaCAM reduced images. These data form the basis for a large ongoing spectroscopic campaign with AAOmega at the AAT and are being employed for a variety of studies.
What's in a Name? Mutual Fund Flows When Managers Have Foreign-Sounding Names

We show that name-induced stereotypes affect the investment choices of U.S. mutual fund investors. Managers with foreign-sounding names have about 10% lower annual fund flows, and this effect is stronger among funds with investor clienteles more likely to be suspicious of foreigners. Foreign-named managers experience lower appreciation (greater decline) in flows following good (bad) performance. Following 9/11, flows to funds with managers with Middle-Eastern-sounding names declined abnormally. In an experimental setting in which skill differences are absent, individuals allocate 11% less money to an index fund managed by a foreign-named manager. This gap widens following the Boston marathon bombings.
Urinary Biomarkers for Cancer Screening, Diagnosis, and Surveillance

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Dual Protective Functions of Helicobacter pylori Peptidoglycan Modifications Impact Early and Late Survival in the Host

Structural motifs inherent in bacterial peptidoglycan (PG) are important recognition domains for some efficient host responses to pathogenic bacterial infection, so PG modifications by the infecting bacterium can neutralize host responses. Helicobacter pylori contain two PG modification enzymes, an N-deacetylase (PgdA) and an O-acetyltransferase (PatAB), but some naturally occurring strains lack the latter. Here the lysozyme resistance and the survival in both macrophages and in lysozyme deficient mice were studied for various H. pylori strains. Resistance to lysozyme killing of H. pylori was conferred by PgdA in naturally-occurring strains that lacked PatA (e.g. B128); the lysozyme sensitivity for B128 pgdA mutant was at the same level as that of a double mutant (pgdA patA) version within parent strain X47. Both PgdA- and PatAmediated PG modifications are important to H. pylori survival within macrophages. Mouse studies connected the lysozyme and macrophage results to the in vivo condition, in which lysozyme effects are expected early and cytokine production later, pertaining to specific host recognition events. An increased host lysozyme killing effect associated with the double mutant strain (pgdA patA) was indicated from a reduced colonization phenotype (compared to wild type) after a week post-inoculation of lysozyme-positive mice; at this time point some important anti- H. pylori mouse cytokines were shown to be minimal. At 3 weeks post-inoculation, the levels of 3 cytokines (IL-10, TNF-a, and MIP-2) were significantly higher in sera of mice inoculated with the pgdApatA strain, and the pgdApatA strain showed a greatly attenuated ability of mouse colonization, in contrast to the wild type strain, indicating a significant role of PG modifications in persistent infection through mitigating host immune response. However, the double mutant survived better in lysozyme deficient (LysM-/-) mice, supporting the notion that PgdA- and PatA- mediated PG modifications in H. pylori protect bacteria from killing by host lysozyme.
Topical application of melatonin around immediate implants

Immediate implant became a treatment of choice in several conditions. However, stability of the implant requires filling the voids with a bone graft or a substitute. The role of Melatonin in bone stimulation was recently considered. Aim of the study: Evaluation of the effect of melatonin granules around immediate implant both clinically and radiographically. Materials and methods: 14 implants were placed in fresh extraction sockets. The patients were divided into 2 equal groups, control and study groups. In the control group gap was filled with Cerasorb bone graft, while in the study group melatonin was added to Cerasorb. Grafts were surrounded by a biocollagen membrane in both groups. Clinical and radiographic assessment was carried out at 1 st , 3 rd , and 6 th post-operative period. Results: No significant difference was recorded between the two groups, while bone density showed significantly higher levels in the melatonin groups. Conclusion: Topical application of Melatonin is recommended in osteotomy sites and around dental implant as a bone stimulator.
Self-regulation and emotional experience : Preliminary findings in non-sexual and sexual offenders

The functional role of self-regulation in sexually aggressive and other violent behavior is not yet fully understood and thus continues to be an important problem of research in the forensic field. In this study, the authors examined emotional self-regulation, conflict behavior, and personality disorders in a sample of 70 violent and non-violent offenders, among which 10 had committed sexual offences. Self report scales and interviews were applied. The differences in (self reported) self regulatory functions found between sexual and non-sexual offenders indicate a better mood management and less vulnerability to threatening and/or stressful situations for those who have not sexually offended.