Miracle-dz/UniFAR-FTUs huggingface dataset:
0 Related Works on Current Alert Correlation Technique

Alert correlation is a process that analyses the alerts produced by one or more diverse devices and provides a more succinct and high-level view of occurring or attempted intrusions. The objective of this study is to analyse the current alert correlation technique and identify the significant criteria in each technique that can improve the Intrusion Detection System (IDS) problem such as prone to alert flooding, contextual problem, false alert and scalability. The existing alert correlation techniques had been reviewed and analysed. From the analysis, six capability criteria have been identified to improve the current alert correlation techniques which are capability to do alert reduction, alert clustering, identify multi-step attack, reduce false alert, detect known attack and detect unknown attack and technique’s combination is proposed. Keyword: IDS, Alert correlation, diverse devices log, capability criteria
Effect of Light Intensity on the Photodegradation of PCB 153 in Aqueous Solution using UV and UV / H 2 O 2

This study examines the photodegradation of PCB 153 under ultraviolet radiation and ultraviolet radiation combined with hydrogen peroxide (H2O2) using a batch tubular recirculating photoreactor equipped with 17 W and 24 W UV-C lamps emitting at 254 nm. PCB 153 solutions with various concentration of 50 ppb, 80 ppb and 100 ppb were prepared for experiments conducted under photolysis (UV only) while 25 L (0.221 mM), 50 L (0.441 mM), 75 L (0.662 mM) of 30% (w/w) H2O2 were individually added to an 80 ppb PCB 153 solution and used as samples for UV/H2O2 experimental runs. Under ultraviolet radiation, the increase of light intensity from 17 W to 24 W increased the degradation from 90.43% to 94.71% of an 80 ppb aqueous PCB 153 solution after 2 hrs of irradiation. The addition of 50 μL (0.441 mM) of 30% wt H2O2 resulted into a drastic decrease of the same concentration of PCB 153. After 30 minutes of irradiation using 17 W UV lamp, 95.95% PCB degradation was observed while complete degradation was attained with the 24 W UV lamp. The pH of the solutions was closely monitored and it was observed that it decreases during photodegration. The decrease of the sample’s pH was a result of inorganic chlorides and acidic metabolites formation as measured using High Performance Liquid Chromatography (HPLC) Conductivity Detector. Likewise, the PCB concentration of irradiated samples was measured using Gas Chromatography equipped with Electron Capture Detector (GC-ECD).
In search of a growth mindset pedagogy

In this article we take up the two-fold task of creating a framework for a growth mindset pedagogy on the basis of our previous studies and exploring the critical points of this pedagogy in the classroom of a mixed-mindset teacher. The data include classroom observations and stimulated recall interviews. The results show how a teacher who is socialized into the Finnish educational system pursues core features of growth mindset pedagogy, despite not having a dominant growth mindset herself. However, we identify critical points in her practices, which suggest that teaching the theory of mindset in teacher education is
Preventing SQLIA using ORM Tool with HQL Siddhesh

Web based systems nowadays follow 3-tier architecture for implementation of enterprise application. But these applications are more prone to security breach and loss of confidential information stored in database. One of the more serious attacks is known as Structured Query Language Injection (SQLI). This attack retrieves data without leaving any trace behind. This paper proposes an efficient solution called Object Relational Mapping technique for such kind of attack in a novel way. ORM maps the table architecture with corresponding Objects and uses those objects to retrieve data instead of getting data directly from database . Therefore it creates a indirect barrier from firing SQL query preventing direct access to database. In addition ORM Methodology satisfies desired criteria of loose coupling while coding.
A New Three-Phase Current Modulation Method to Suppress the Commutation Torque Ripple of Brushless DC Motor

The brushless DC motor’s commutation torque ripple is caused by inconsistency in the rate of phase current change. Thus, a method that considers armature resistance is proposed to modulate phase current. The three-phase control strategy, which involves the “open-phase conduction, off-phase pulse width modulation, and maintained non-commutation phase” technique, is applied during commutation at full-speed segments of the motor. Changes in each phase current are analyzed theoretically by establishing mathematical model based on phase current to determine the relative difference among shutdown phase, duty, and motor operating parameters. The turn-on and turn-off phase current change rates are made to be consistent to ensure less non-commutation phase current ripple, then the torque ripple is inhibited. The simulation results show that the phase commutation current and torque ripple coefficient of the proposed method are reduced from 56.9% and 55.5% to 6.8% and 6.1%, respectively. In the experiment system, the pulsation coefficient of the motor phase current is reduced from 40.0% to 16.7% at low speed and 50.0% to 18.8% at high speed. The simulation and experimental results show that the proposed control method significantly inhibits commutation current and torque in the full section.
Speech Recognition Performance as Measure of Speech Dereverberation Quality

Arkadiy Prodeus. Speech Recognition Performance as Measure of Speech Dereverberation Quality. Computational and Applied Mathematics Journal. Vol. 1, No. 3, 2015, pp. 60-66. Abstract Optimal, in the sense of automatic speech recognition (ASR) accuracy maximum, parameters of the late reverberation suppression technique have been proposed in this paper. It was shown that the value 50 ms as boundary between early reflections and late reverberation, which usually is used when problems of speech quality and intelligibility is studied, isn’t best for ASR systems, for which optimal value is 100 ms. It was shown also that, when estimating late reverberation power spectrum, an optimal value of averaging parameter should be associated with statistical speech constants such as phoneme and stationary durations. Several speech quality indicators were used, and it was found that recognition accuracy is the best indicator in the sense of ability to inform the user about reached compromise between reverberation suppression and speech distortion.
Gaussian Errors

Among the models proposed for the spot rate of interest, Gaussian models are probably the most widely used; they have the great virtue that many of the prices of bonds and derivatives can be easily computed in closed form. One drawback is that the spot rate process r, being Gaussian, may occasionally take negative values, though it is often claimed that if the probability of negative values is small, then there is no need to worry. It turns out that in many cases this is true, but there are some derivatives whose prices are very sensitive to the possibility of negative rates. One example is a knockout bond, which is a bond which becomes worthless if ever the interest rate drops below zero. Since we do not really believe that interest rates can go negative, we can expect that Gaussian models will give prices at odds with intuition. But there are other, more subtle, examples, such as bonds of long maturity. The discrepancies which arise for these are happening because the bond price is of the form E exp(−X) for some Gaussian variable X and, although it may be very unlikely that X should be negative, when it is, we are exponentiating −X , and the contribution to the expectation can be overwhelming. For such derivatives, the prices which the Gaussian models predict can be absurd, yet we have no idea what the true price should be. This is because we have not clearly decided what should be the true interest rate model (which Chris Rogers is Professor of Probability at the University of Bath. Work supported in part by EPSRC grants GR/J82041 and GR/K00448. Helpful comments from Antoine Pelser and computing advice from Elie Bassouls are gratefully acknowledged.
Influence of As , Sb , Bi and O on Copper Anode Behaviour – Part 3 : Elemental Distribution

Copper refining electrolysis is the essential process step to produce high-purity copper and precious metals. The anode copper used in the electrolysis process contains impurities, most frequently Ag, As, Au, Bi, Fe, Ni, O2, Pt, S, Sb, Se, Te, and Zn. Their content depends on the raw material used (ores or scraps) and process conditions. During the electrolysis, the impurities, which are more ignoble than Cu, are dissolved into the electrolyte and the insoluble rest Influence of As, Sb, Bi and O on Copper Anode Behaviour – Part 3: Elemental Distribution
BGP Table Fragmentation: what & who?

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. BGP Table Fragmentation: what & who? Julien Gamba, Romain Fontugne, Cristel Pelsser, Randy Bush, Emile Aben
Mouse Model Dexamethasone ' s Effect in the Retrocochlear Auditory Centers of a Noise-Induced Hearing Loss

Objective. Examine prophylactic effects of dexamethasone (Dex) in retrocochlear auditory centers in a noise-induced hearing loss (NIHL) mouse model. Study Design. Prospective animal study. Setting. Academic research center. Subjects and Methods. Thirty-two mice were divided into control, untreated, saline (2 and 10 mL), and Dex (2 and 10 mL) groups. Dex was applied intratympanically (IT) prior to 110 to 120 dB noise over 6 hours. Auditory brainstem response (ABR) and distortion product otoacoustic emission (DPOAE) were performed at 1 day, 1 week, 1 month, and 2 months. Retrocochlear neuronal cells were labeled with FluoroGold and counted. Hair cells of the organ of Corti were labeled with fluorescein isothiocyanate-conjugated phalloidin and counted. Results. Auditory brainstem response thresholds of untreated NIHL, 2 and 10 mL IT saline, and 2 and 10 mL IT Dex were 21.7 6 2.9 dB, 20 6 0 dB, 20 6 5 dB, 18.3 6 2.9 dB, and 18.3 6 2.9 dB, respectively. At 1-day post NIHL, all groups demonstrated profound hearing loss. At 2 weeks, 2 and 10 mL Dex thresholds improved to 47.5 6 3.5 dB and 48.8 6 18.9 dB, respectively, whereas the untreated and saline groups remained unchanged. Mean cell counts in the cochlear nucleus (CN), superior olivary complex (SOC), and lateral lemniscus (LL) of control mice were 1483 6 190, 2807 6 67, and 112 6 20, respectively. After acoustic trauma, the untreated, saline, and 2 mL Dex groups yielded decreased neuronal counts in the SOC. In contrast, the 10 mL Dex group had 1883 6 186 (CN), 2774 6 182 (SOC), and 166 6 18 (LL). There was sporadic hair cell loss for all traumatized groups. Conclusion. Our NIHL mouse model demonstrated dosedependent Dex pretreatment otoprotection against NIHL with preservation of retrocochlear auditory neurons.
Correlation of NAFLD with BMI and this in general population

Non-alcoholic fatty liver disease (NAFLD) refers to the accumulation of hepatic statuses not due to excess alcohol consumption. NAFLD is the most common liver condition in the world. NAFLD is shown to be associated with obesity, type 2 diabetes, dyslipidemia and hypertension. The thyroid gland is significantly involved in energy homeostasis, lipid and carbohydrate metabolism, regulation of body weight and adipogenesis. In recent years, growing body of evidence has led to speculation on the association between NAFLD/NASH with thyroid dysfunction. The main of this study was 1. To find out correlation of NAFLD with BMI and THS in general population by means of noninvasive methods. 2. To evaluate BMI and THS as a risk factors for the development of NAFLD in general population. The material and methods were total of 500 cases of age 30 to 65 yrs of both genders visiting Medicine OPD of SAMC & PG Institute, Indore over a period of 11⁄2 yrs were included in the study. Anthropometric data were collected. TSH was done in all subjects and USG of abdomen was done in all subjects too see the evidence of NAFLD. The results of the study showed a co-relation between BMI and NAFLD. Among 138 cases with NAFLD out of 500 cases that were under study the mean BMI with SD was found to be 25.39±5.44 and cases without NAFLD the mean BMI with SD was found to be 22.42±3.11 (with p-value of 0.000). The study showed that mean TSH in cases with fatty liver was 2.75±3.02 mg/dl and in those with no fatty liver the mean TSH was 4.5±13.4 mg/dl (with p-value 0.135). In conclusion The BMI is having positive correlation with NAFLD in our study so that public health initiatives and long term preventive strategies hold the key to halt or reverse the pandemic of obesity and possible onset of NAFLD in our society.
Submucosa Mucosa Muscularis propria Diffuse Reflectance Specular Reflectance Fluorescence Emission Incident Light Scattering Absorption Fluorophore Chromophore

Early identification of dysplasia remains a critical goal for diagnostic endoscopy since early discovery directly improves patient survival because it allows endoscopic or surgical intervention with disease localized without lymph node involvement. Clinical studies have successfully used tissue autofluorescence with conventional white light endoscopy and biopsy for detecting adenomatous colonic polyps, differentiating benign hyperplastic from adenomas with acceptable sensitivity and specificity. In Barrett’s esophagus, the detection of dysplasia remains problematic because of background inflammation, whereas in the squamous esophagus, autofluorescence imaging appears to be more dependable. Point fluorescence spectroscopy, although playing a crucial role in the pioneering mechanistic development of fluorescence endoscopic imaging, does not seem to have a current function in endoscopy because of its nontargeted sampling and suboptimal sensitivity and specificity. Other point spectroscopic modalities, such as Raman spectroscopy and elastic light scattering, continue to be evaluated in clinical studies, but still suffer the significant disadvantages of being random and nonimaging. A recent addition to the fluorescence endoscopic imaging arsenal is the use of confocal fluorescence endomicroscopy, which provides real-time optical biopsy for the first time. To improve detection of dysplasia in the gastrointestinal tract, a new and exciting development has been the use of exogenous fluorescence contrast probes that specifically target a variety of disease-related cellular biomarkers using conventional fluorescent dyes and novel potent fluorescent nanocrystals (i.e., quantum dots). This is an area of great promise, but still in its infancy, and preclinical studies are currently under way.
How to Accelerate Green Technology Diffusion? An Agent-based Approach to Directed Technological Change with Coevolving Absorptive Capacity

The window of opportunity for effective climate change mitigation is closing. Hence, it is decisive to unterstand how to accelerate the diffusion of climate friendly technologies. Path dependence of technological change is an explanation for sluggish diffusion even if a technology is superior in the long run. This paper studies the determinants of diffusion, learning and the coevolution of innovation and hetergeneous absorptive capacity. I show how the effectiviness of different market based climate policies depends on the type and strength of diffusion barriers. I introduce a macroeconomic agent-based model that is an eco-technology extended version Eurace@unibi model. Technology is heterogeneous by type (green or brwon). Firms choose between types when acquiring capital goods and build up type-specific technological know-how that is needed to exploit the productive potential of capital. Path dependence is operationalized as accumulated diffusion barriers taking the form of inferior technical performance of supplied green capital and type-specific know-how of adopters. The barriers interrelate with positive feedback loops from market induced innovation dynamics and learning by doing, and analyze how these mechanisms explain path dependence and the emerging macroeconomic patterns of technology diffusion. Environmental taxes can outweigh a lower technical performance and subsidies perform better if lacking capabilities hinder firms to adopt a sufficiently mature technology.
L ’ importanza di chiamarsi Dientamoeba fragilis The importance of being Dientamoeba fragilis

Vita Lacasella, Olga Brandonisio, Carmen Capolongo, Marianna Marangi, Annunziata Giangaspero Dipartimento di Scienze Agrarie, degli Alimenti e dell’Ambiente, Università degli Studi di Foggia, Foggia, Italy; Dipartimento di Clinica Medica, Immunologia e Malattie Infettive, Università degli Studi di Bari, Italy; U.O. di Microbiologia e Virologia, Azienda Ospedaliero-Universitaria Policlinico di Bari, Italy
9 71 10 68 v 2 1 J ul 1 99 8 Exponential potentials and cosmological scaling solutions

We present a phase-plane analysis of cosmologies containing a barotropic fluid with equation of state pγ = (γ − 1)ργ , plus a scalar field φ with an exponential potential V ∝ exp(−λκφ) where κ = 8πG. In addition to the well-known inflationary solutions for λ < 2, there exist scaling solutions when λ > 3γ in which the scalar field energy density tracks that of the barotropic fluid (which for example might be radiation or dust). We show that the scaling solutions are the unique late-time attractors whenever they exist. The fluid-dominated solutions, where V (φ)/ργ → 0 at late times, are always unstable (except for the cosmological constant case γ = 0). The relative energy density of the fluid and scalar field depends on the steepness of the exponential potential, which is constrained by nucleosynthesis to λ > 20. We show that standard inflation models are unable to solve this ‘relic density’ problem.
Learning to Describe Multimodally from Parallel Unimodal Data ? A Pilot Study on Verbal and Sketched Object Descriptions

Previous work on multimodality in interaction has mostly focussed on integrating models for verbal utterances and embodied modalities like gestures. In this paper, we take a first step towards investigating multimodal interaction that combines verbal utterances and hand-drawn sketches which can be essential, for instance, for conveying explanation in dialogue. While there is a lot of theoretical work on how drawing and sketching convey iconic meaning, there is no realistic data set that pairs language and sketch as integrated modalities. Recently, the Draw-and-Tell corpus enriched a pre-existing dataset (the “Sketchy Dataset”) with verbal descriptions of the sketched images. We base our study on this corpus and implement two models that learn to generate simple verbal and sketched object descriptions in a parallel fashion. We evaluated our models in unimodal and multimodal object identification tasks with human listeners via crowd-sourcing experiments. The results show that partial hand-drawn sketches clearly improve the effectiveness of verbal descriptions, even if the generator did not coordinate their meanings. Interestingly, we also find that unimodal sketched object descriptions outperform multimodal descriptions. We argue that this highlights the great potential of sketched explanations for multimodal interaction, but at the same time, shows the need for more natural data sets that provide insights into the orchestration of verbal and sketched elements in multimodal descriptions.
Association of IL-8-251 A / T and + 781 C / T polymorphisms with the susceptibility to coronary artery disease in a population of China

Coronary artery disease is the most common type of cardiovascular disease and is caused by atherosclerosis. The pathological process of coronary artery disease is involved in a long-term process, involving in many genetic and environmental factors. We investigated the association between IL-8 -251A/T and +781C/T genetic polymorphism and development of coronary artery disease in a Chinese population. Between March 2013 and March 2015, a total of 264 coronary artery disease patients confirmed by coronary angiography examination and 286 control subjects were collected into our study. The genotyping of IL-8 -251A/T and +781C/T was carried out through polymerase chain reaction coupled with restriction fragment length polymorphism method. There was statistically significant difference in the genotype distributions of IL-8 -251A/T between coronary artery disease patients and control subjects (chi-square=13.101, P<0.001). Multiple logistic regression analysis revealed that the TA (OR=1.633, OR=1.072-2.493) and AA (OR=2.329, 95% CI=1.421-3.820) genotypes of IL-8 -251A/T contributed to a higher risk of coronary artery disease in comparison to the TT genotype. The TA+AA genotype of IL-8 -251A/T was associated with an increased risk of developing coronary artery disease when compared with the TT genotype (OR=1.845, 95% CI=1.248-2.736) in dominant model. The AA genotype of IL-8 -251A/T had a 1.722 fold risk of developing coronary artery disease when compared with the TT+TA genotype (OR=1.722, 95% CI=1.140-2.608). However, no association was observed between the IL-8 +781C/T polymorphism and development of coronary artery disease. In conclusion, our study suggests that the IL-8 -251A/T polymorphism is an independently risk factor for the development of coronary artery disease.
Report ase A in the Mouse Egg

Segregation of chromosomes at the time of cell division is achieved by the microtubules and associated molecules of the spindle. Chromosomes attach to kinetochore microtubules (kMTs), which extend from the spindle pole region to kinetochores assembled upon centromeric DNA. In most animal cells studied, chromosome segregation occurs as a result of kMT shortening, which causes chromosomes to move toward the spindle poles (anaphase A). Anaphase A is typically followed by a spindle elongation that further separates the chromosomes (anaphase B) [1–5]. The experiments presented here provide the first detailed analysis of anaphase in a live vertebrate oocyte and show that chromosome segregation is initially driven by a significant spindle elongation (anaphase B), which is followed by a shortening of kMTs to fully segregate the chromosomes (anaphase A). Loss of tension across kMTs at anaphase onset produces a force imbalance, allowing the bipolar motor kinesin-5 to drive early anaphase B spindle elongation and chromosome segregation. Early anaphase B spindle elongation determines the extent of chromosome segregation and the size of the resulting cells. The vertebrate egg therefore employs a novel mode of anaphase wherein spindle elongation caused by loss of k-fiber tension is harnessed to kick-start chromosome segregation prior to anaphase A.
Canadian Tissue Residue Guidelines for the Protection of Wildlife Consumers of Aquatic Biota METHYLMERCURY

Canadian Council of Ministers of the Environment, 2000 ethylmercury (MeHg, CAS 22967-92-6) is toxicologically the most relevant form of mercury. It is produced through the biological and chemical methylation of inorganic mercury (forming CH3Hg), and is a potent neurotoxicant for animals and humans. MeHg is not very lipid soluble compared to many organochlorine contaminants, but it binds strongly with sulfhydryl groups in proteins and is therefore readily accumulated and retained in biological tissues (Clarkson 1994).