Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of stateful firewall using POX controller

Software Defined Networking is new emerging area of research. It is replacing current inflexible and complex networks with innovative and agile networks but the pace of replacement has been slow. In SDN they have decoupled the control and data plane. Openflow is most used protocol needed for communication between control and data plane. The main concern about slow adoption of SDN is security features provided by SDN Switches. Firewall is necessary part of current networks. You cannot think of secure network without using firewall. Already layer 2 and stateless firewalls are available in SDN but the main issue is that can we implement stateful firewall that keeps connection tracking information. In this paper we are implementing SDN stateful firewall using POX Controller. We tested our stateful firewall on mininet emulator as well as real hardware.
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system

Many learning classifier system (LCS) implementations are restricted to the binary problem realm. Recently, the XCS classifier system was enhanced to be able to handle real-valued inputs among others. In the real-valued enhancement, XCSF applies as a function approximation system that partitions the input space in hyperrectangular subspaces specified in the classifiers. This paper changes the classifier conditions to hyperspheres and hyperellipsoids and investigates the consequent performance impact. It is shown that the modifications yield improved performance in continuous functions. Even in discontinuous functions with parallel boundaries, XCS's performance does not degrade. Thus, for the real-valued problem domain, ellipsoidal condition structures can improve XCS's performance. From a more general perspective, this paper shows that XCS is readily applicable in diverse problem domains. To apply the system even more successfully, suitable kernel-based bases need to be found and used as classifier conditions. XCS distributes the available structures over the problem space evolving more specialized structures in more complex problem subspaces.
PENGUKURAN RESISTIVITAS PADA DAERAH DUGAAN SUMBER PENYEBAB ANOMALI GEOMAGNETIK DI PULAU LOMBOK NTB

Regarding the results of the last research (Zubaidah et al., 2006), it could be interpreted that there are two possibilities of the source of geomagnetic anomaly in Lombok Island, i.e. a specific local structure composed by a quite large magnetic body or a local fault in this region that could be associated with a source of seismic hazard (especially earthquakes). An interesting profile could be estimated lie around the minimum geomagnetic anomaly (8 0 45’36”S, 116 0 1’48”E) to the maximum one (8 0 43’48”S, 116 0 5’24” E). Understanding the corresponding structure on that profile is very important - related to the possibility of the source of geomagnetic anomaly in Lombok Island - in order to get further information about potentially local fault in this region as a source of earthquakes hazard. Geoelectric method with vertical electrical sounding (VES) configuration have been applied in this profile, on three VES points (i.e. one point between the minimum and the maximum geomagnetic anomaly (X1: 8 0 46’42.9”S, 116 0 04’07.7”E), and two other points outside (X2: 8 0 46’03.3”S, 115 0 58’39.9”E; which is on negative anomaly area) and (X3: 8 0 42’11.6”S, 116 0 08’27.2”E; which is on positive anomaly area). The potency of X1 as a critical zone has been shown, with the existence of resistivity contrast in this area, which its resistivity value between X2 (very high resistivity; 25,000 m) and X3 (very low resistivity; ;1  m). This results lead to the potentially local fault in this region as a source of earthquakes hazard.
Interrupted EDF Scheduling

In this paper we extend the results for the mixed scheduling algorithm of Liu and Layland in [3]. It is the seminal paper for the basic real-time scheduling algorithms: Rate Monotonic Scheduling (RMS) and Earliest Deadline First (EDF) Scheduling, and for their corresponding schedulability tests [1,2,4,5,7]. In a final section of the paper the authors also investigate the mixed scheduling algorithm which is a combination of both EDF and RMS. Their motivation for looking at this combined algorithm is the observation that conventional interrupt hardware behaves in a fixed priority manner and does not appear compatible with a hardware EDF scheduler. On the other hand the overhead in implementing EDF in software for the slower paced tasks would not be great.
Variable-Depth Natural Language Understanding

Standard A I representations of knowledge operate at fixed depth (i.e. the objects manipulated are described by an amount of information which remains constant for every task). Contrary to this approach, Variable Depth Processing (VDP) uses a progressive description of objects, tries different strategies according to the quality of the result it needs, and continually controls this quality by means of an evaluation of the approximations it makes. Contextual Production Rules are shown to be an effective way to implement some features of VDP. We are currently developing a VDP question - answering system which works on texts concerning a non-technical subject, namely an excerpt of a general public - oriented encyclopaedia.
Clinical assessment of drug–drug interactions of tasimelteon, a novel dual melatonin receptor agonist

Tasimelteon ([1R‐trans]‐N‐[(2‐[2,3‐dihydro‐4‐benzofuranyl] cyclopropyl) methyl] propanamide), a novel dual melatonin receptor agonist that demonstrates specificity and high affinity for melatonin receptor types 1 and 2 (MT1 and MT2 receptors), is the first treatment approved by the US Food and Drug Administration for Non‐24‐Hour Sleep‐Wake Disorder. Tasimelteon is rapidly absorbed, with a mean absolute bioavailability of approximately 38%, and is extensively metabolized primarily by oxidation at multiple sites, mainly by cytochrome P450 (CYP) 1A2 and CYP3A4/5, as initially demonstrated by in vitro studies and confirmed by the results of clinical drug–drug interactions presented here. The effects of strong inhibitors and moderate or strong inducers of CYP1A2 and CYP3A4/5 on the pharmacokinetics of tasimelteon were evaluated in humans. Coadministration with fluvoxamine resulted in an approximately 6.5‐fold increase in tasimelteon's area under the curve (AUC), whereas cigarette smoking decreased tasimelteon's exposure by approximately 40%. Coadministration with ketoconazole resulted in an approximately 54% increase in tasimelteon's AUC, whereas rifampin pretreatment resulted in a decrease in tasimelteon's exposure of approximately 89%.
Differentiating signals to make biological sense – A guide through databases for MS‐based non‐targeted metabolomics

Metabolite identification is one of the most challenging steps in metabolomics studies and reflects one of the greatest bottlenecks in the entire workflow. The success of this step determines the success of the entire research, therefore the quality at which annotations are given requires special attention. A variety of tools and resources are available to aid metabolite identification or annotation, offering different and often complementary functionalities. In preparation for this article, almost 50 databases were reviewed, from which 17 were selected for discussion, chosen for their online ESI‐MS functionality. The general characteristics and functions of each database is discussed in turn, considering the advantages and limitations of each along with recommendations for optimal use of each tool, as derived from experiences encountered at the Centre for Metabolomics and Bioanalysis (CEMBIO) in Madrid. These databases were evaluated considering their utility in non‐targeted metabolomics, including aspects such as identifier assignment, structural assignment and interpretation of results.
Constraining slow-roll inflation with WMAP and 2dF

We constrain slow-roll inflationary models using the recent Wilkinson Microwave Anisotropy Probe data combined with data from the VSA, CBI, ACBAR and 2dF experiments. We find the slow-roll parameters to be 0<epsilon(1)<0.032 and epsilon(2)+5.0epsilon(1)=0.036+/-0.025. For inflation models Vproportional tophi(alpha) we find that alpha<3.9,4.3 at the 2sigma and 3sigma levels, indicating that the lambdaphi(4) model is under very strong pressure from observations. We define a convergence criterion to judge the necessity of introducing further power spectrum parameters such as the spectral index and running of the spectral index. This criterion is typically violated by models with large negative running that fit the data, indicating that the running cannot be reliably measured with present data.
Removal of serine phosphates from simian virus 40 large T antigen increases its ability to stimulate DNA replication in vitro but has no effect on ATPase and DNA binding

The effect of phosphorylation on the ability of simian virus 40 large T antigen to stimulate DNA synthesis in vitro was tested. Treatment of affinity-purified large T antigen with calf intestinal alkaline phosphatase resulted in the removal of 70 to 80% of the phosphate residues. Only serine-bound phosphate residues were affected. Phosphatase-treated large T antigen stimulated in vitro DNA synthesis fourfold over the untreated control. The stimulation was strongest at early times of DNA replication. At later times, DNA replication proceeded at equal rates with dephosphorylated and untreated large T antigen. The ATPase activity of large T antigen was not affected by phosphatase treatment. The origin-binding activity of large T antigen was tested over a wide range of large T antigen to DNA ratios, including DNA excess, and in the presence and absence of carrier DNA. Under no condition was an effect of dephosphorylation of large T antigen on its DNA-binding activity observed. These findings might indicate that phosphorylation at serine residues modulates the interaction of large T antigen with cellular factors. During DNA synthesis large T antigen was substantially rephosphorylated by kinases in the HeLa cell extract. As shown by two-dimensional peptide mapping, this phosphorylation occurred at all known in vivo sites. No phosphatase and protease activities were detectable in the HeLa cell extract.
Trait Anger, Physical Aggression, and Violent Offending in Antisocial and Borderline Personality Disorders

Antisocial personality disorder (ASPD) and borderline personality disorder (BPD) are common conditions in forensic settings that present high rates of violence. Personality traits related to the five‐factor model personality domains of neuroticism and agreeableness have shown a relationship with physical aggression in nonclinical and general psychiatric samples. The aim of the present investigation was to examine the association of these personality traits with violence and aggression in ASPD and BPD. Results revealed that trait anger/hostility predicted self‐reported physical aggression in 47 ASPD and BPD subjects (β = 0.5, p = 0.03) and number of violent convictions in a subsample of the ASPD participants (β = 0.2, p = 0.009). These preliminary results suggest that high anger and hostility are associated with physical aggression in BPD and ASPD. Application of validated, self‐report personality measures could provide useful and easily accessible information to supplement clinical risk assessment of violence in these conditions.
Mathematical Modeling of Advertisement and Influence Spread in Social Networks

We consider the following advertisement problem in social n etworks. Given a fixed advertisement investment (e.g., provid e free samples to small number of users), a company needs to determi ne the probability that users of a social network will eventual ly purchase the product. In this paper, we model social networks as sc lefree graphs (with or without high clustering coefficient). W e then characterize and model various influence mechanisms that go vern the influence spreading in large scale social networks. We us e the local mean field (LMF) technique to analyze these social netw orks wherein states of nodes can be changed by various influence me hanisms. Extensive simulations are carried out to validate t he accuracy of our model. These results can provide insight in desig ning efficient advertising strategies in social networks.
Coding Properties of Mouse Retinal Ganglion Cells with Dual-Peak Patterns with Respect to Stimulus Intervals

How visual information is encoded in spikes of retinal ganglion cells (RGCs) is essential in visual neuroscience. In the present study, we investigated the coding properties of mouse RGCs with dual-peak patterns with respect to visual stimulus intervals. We first analyzed the response properties, and observed that the latencies and spike counts of the two response peaks in the dual-peak pattern exhibited systematic changes with the preceding light-OFF interval. We then applied linear discriminant analysis (LDA) to assess the relative contributions of response characteristics of both peaks in information coding regarding the preceding stimulus interval. It was found that for each peak, the discrimination results were far better than chance level based on either latency or spike count, and were further improved by using the combination of the two parameters. Furthermore, the best discrimination results were obtained when latencies and spike counts of both peaks were considered in combination. In addition, the correct rate for stimulation discrimination was higher when RGC population activity was considered as compare to single neuron's activity, and the correct rate was increased with the group size. These results suggest that rate coding, temporal coding, and population coding are all involved in encoding the different stimulus-interval patterns, and the two response peaks in the dual-peak pattern carry complementary information about stimulus interval.
Flocculation and sedimentation in the ACE Basin, South Carolina

Extremely rapid deposition of fine-grained sediment has been observed near an artificially created channel between the Edisto and Ashepoo Rivers in South Carolina. Accumulation rates on the order of 0.05 m mo−1 formed a region of fluid mud known as the Mud Reach that was present during a study carried out in May 1998. Subsequent surveys in March and May 1999 found no evidence of fluid mud in this area. Image analysis of photographs of the suspended sediment from 1998 showed that the water column was populated by flocs with a median diameter on the order of 0.3 mm which tended to remain in suspension over the tidal cycle, and flocs on the order of 0.8 mm which remained in the near bottom region except at maximum current speeds. In 1999, both the size and concentration of flocs at the surface remained the same, but the size and abundance of flocs near the bottom was reduced. Disaggregated inorganic grain size analysis of the suspension and samples from a core collected in the Mud Reach indicated that in 1998 the accumulation of material on the bottom was the result of floc settling and that in spite of highus values, little sorting of this material was occurring. Grain size analysis of samples deeper in the core showed that the rapidly floc-deposited mud was underlain by coarser, well-sorted sediment, confirming that the Mud Reach was a transient feature. The observed flocculation processes may play a significant role in the trapping of fine-grained sediment throughout this region.
GURLS: a least squares library for supervised learning

We present GURLS, a least squares, modular, easy-to-extend software library for efficient supervised learning. GURLS is targeted to machine learning practitioners, as well as non-specialists. It offers a number state-of-the-art training strategies for medium and large-scale learning, and routines for efficient model selection. The library is particularly well suited for multi-output problems (multi-category/multi-label). GURLS is currently available in two independent implementations: Matlab and C++. It takes advantage of the favorable properties of regularized least squares algorithm to exploit advanced tools in linear algebra. Routines to handle computations with very large matrices by means of memory-mapped storage and distributed task execution are available. The package is distributed under the BSD license and is available for download at https://github.com/LCSL/GURLS.
Bitext-Based Resolution of German Subject-Object Ambiguities

We present a method for disambiguating syntactic subjects from syntactic objects (a frequent ambiguity) in German sentences taken from an English-German bitext. We exploit the fact that subject and object are usually easily determined in English. We show that a simple method disambiguates some subject-object ambiguities in German, while making few errors. We view this procedure as the first step in automatically acquiring (mostly) correct labeled data. We also evaluate using it to improve a state of the art statistical parser.
Tyrosine kinase 2 is not limiting human antiviral type III interferon responses

Tyrosine kinase 2 (TYK2) associates with interferon (IFN) alpha receptor, IL‐10 receptor (IL‐10R) beta and other cytokine receptor subunits for signal transduction, in response to various cytokines, including type‐I and type‐III IFNs, IL‐6, IL‐10, IL‐12 and IL‐23. Data on TYK2 dependence on cytokine responses and in vivo consequences of TYK2 deficiency are inconsistent. We investigated a TYK2 deficient patient, presenting with eczema, skin abscesses, respiratory infections and IgE levels >1000 U/mL, without viral or mycobacterial infections and a corresponding cellular model to analyze the role of TYK2 in type‐III IFN mediated responses and NK‐cell function. We established a novel simple diagnostic monocyte assay to show that the mutation completely abolishes the IFN‐α mediated antiviral response. It also partly reduces IL‐10 but not IL‐6 mediated signaling associated with reduced IL‐10Rβ expression. However, we found almost normal type‐III IFN signaling associated with minimal impairment of virus control in a TYK2 deficient human cell line. Contrary to observations in TYK2 deficient mice, NK‐cell phenotype and function, including IL‐12/IL‐18 mediated responses, were normal in the patient. Thus, preserved type‐III IFN responses and normal NK‐cell function may contribute to antiviral protection in TYK2 deficiency leading to a surprisingly mild human phenotype.
Wearable kinesthetic systems for capturing and classifying body posture and gesture

Monitoring body kinematics has fundamental relevance in several biological and technical disciplines. In particular the possibility to know the posture exactly may furnish a main aid in rehabilitation topics. This paper deals with the design, the development and the realization of sensing garments, from the characterization of innovative comfortable and spreadable sensors to the methodologies employed to gather information on posture and movement. In the present work an upper limb kinesthetic garment (ULKG), which allows to reconstruct shoulder, elbow and wrist movements and a kinesthetic glove able to detect posture an gesture of the hand are presented. Sensors are directly integrated in Lycra fabrics by using conductive elastomer (CE) sensors. CE sensors show piezoresistive properties when a deformation is applied and they can be integrated onto fabric or other flexible substrate to be employed as strain sensors
Channel equalizer performance analysis for Hybrid 3DTV in ATSC 3.0 standard

Recently, next generation broadcasting standardization has being conducted to transmit UHDTV contents. In this paper, an equalizer using least square estimation is designed and reception performance is analyzed for Hybrid 3DTV transceiver system. Equalizer structure for Hybrid 3DTV is designed by referring to ATSC 3.0 PHY layer. Hybrid 3DTV uses time division multiplexing for transmitting two physical layer pipes. The equalizer performance is simulated on Pedestrian Indoor channel which has long echoes. Simulation result shows that equalizer performance for Hybrid 3DTV is improved about 5 dB.
Developing and Implementing a Triangulation Protocol for Qualitative Health Research

In this article, the authors present an empirical example of triangulation in qualitative health research. The Canadian Heart Health Dissemination Project (CHHDP) involves a national examination of capacity building and dissemination undertaken within a series of provincial dissemination projects. The Project's focus is on the context, processes, and impacts of health promotion capacity building and dissemination. The authors collected qualitative data within a parallel–case study design using key informant interviews as well as document analysis. Given the range of qualitative data sets used, it is essential to triangulate the data to address completeness, convergence, and dissonance of key themes. Although one finds no shortage of admonitions in the literature that it must be done, there is little guidance with respect to operationalizing a triangulation process. Consequently, the authors are feeling their way through the process, using this opportunity to develop, implement, and reflect on a triangulation protocol.
Enabling and enhancing collaborations between software development organizations and independent test agencies

While the use of independent test agencies is on the rise — currently estimated to be a $25B marketplace — there are a number of challenges to successful collaboration between these agencies and their client software development organizations. These agencies offer independent verification of software, skilled testing experts, and economic advantages that arise from differential global labor rates. However, these benefits are often offset by difficulties in effectively integrating the outsourced testing into software development practice. We conducted extensive discussions with test managers and engineers at software development organizations. This position paper presents the findings of these discussions that identify key difficulties of integrating independent test agencies into software development practice, and it describes our position on how these findings can be addressed.
Intelligent information dissemination in collaborative, context-aware environments

Today's mobile computing environments aggregate many entities, all of them with a number of internal sensors, processing applications and other, user given information that can be shared with others over the available networks. Tomorrow's ubiquitous computing environments, where the number of sensors is assumed to be even significantly higher, face the challenge that information exchange between entities has to be controlled, not only to protect privacy and to unburden the wireless networks - but also to reduce load on the receiving entities that have to process all incoming information. The approach we propose in this work measures the importance of some information and the interest of the receiver in it, before it is transferred. We apply it in two scenarios with limited resources. In vehicle-to-vehicle communications the transmission time while cars meet and bandwidth availability of the wireless channel is the critical resource, forcing to reduce information exchange. In context inference on mobile devices processing power and battery life are limited and responsiveness to user actions is most important. Hence only the most important information should be processed.