Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Approach to Anomaly Detection based on Possibility Distributions

—This paper presents a new approach for anomaly detection based on possibility theory for normal behavioral modeling. Combining subspace identiﬁcation algorithms and Kalman ﬁltering techniques could be a good basis to ﬁnd a suitable model to build a decision variable where, a new decision process can be applied to identify anomalous events. A robust ﬁnal decision scheme can be built, by means of possibility distributions to ﬁnd the abnormal space where anomalies happen. Our system uses a calibrated state space dynamical linear model where the model’s parameters are found by the principal component analysis framework. The multidimensional Kalman innovation process is used to build the unidimensional decision variable. Thereafter this variable is clustered and possibility distributions are used to separate the clusters into normal and abnormal spaces when anomalies happen. We had studied the false alarm rate vs. detection rate trade-off by means of the Receiver Operating Characteristic curve to show the high performance obtained via this new methodology against other approaches. We validate the approach over different realistic network trafﬁc.
Automated Annotation of Text Using the Classification-based Annotation Workbench (CLAW)

—Text annotation is used to mark up text using highlights, comments, footnotes, tags, and links. Manual annotation is a human intensive process and is not feasible for a large corpus of text. Classification is a technique that may be used to automate the annotation process. This paper develops a Classification-based Text Annotation Workbench (CLAW), an annotation assistance tool that incorporates automated classification to reduce the difficulty of manual annotation. There are several technical challenges posed by the practical nature of the text corpus and the annotation methodology. The text corpus, is large and consists of numerous reports, lessons learnt and best practices. Complexity is introduced due to the size of the documents, the variety of formats and the range of subject matter. The annotation taxonomy is extensive and unstructured and may be applied to the text body without constraints. Consequently, the search space for the label(s) become prohibitively large and it becomes necessary to adopt strategies that reduce the complexity of the classification process. We introduce a simplification technique to reduce the large classification search space. We improve precision by supplementing these predictive algorithms with similarity based measures and evaluate CLAW for performance using both prediction-based metrics and ranking-based metrics. It is shown that CLAW performs better than a competing algorithm on all evaluation metrics.
Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models

Study Objective: The emergency department (ED) in the United States strongly rely on subjective assessment of patients. This study seeks to evaluate an electronic triage system based on machine learning models that can predict the patients emergency severity index (ESI). Methods: A dataset containing 560 486 patients triage data was investigated. Three different machine learning models was tested and evaluated. A cross validation table and a confusion matrix was conducted from each of the models. The precision rate ,recall rate and f1-score were calculated and reported. Result: The Gradient Boosting model returned an accuracy rate of 68%. The random forest model returned an accuracy rate of 66%. The Gaussian Naive Bayes model returned an accuracy rate of 25%. Conclusion: The model that best predicted the ESI-level is the Gradient Boosting model. Further testing is needed with better computational power since we could not train our model with the whole dataset.
Alternative Platform for Vision based Robot Navigation

Robots are closer than ever to leap from the defined world navigation to the undefined world navigation. For that it is crucial to have flexible and alternative platforms to enhance mobile self-made robots to the next level. In this project a vision based navigation robot is developed using Microsoft Windows based software as an alternative to most common Linux based Robot Operating System (ROS). Currently almost all self-made robots with advanced functionalities use the ROS. But what lacks in Linux based system is flexibility for beginners. Developing a mobile robot based on Windows platform was not possible few years ago, but with the development of Single Board Computers (SBC), now finally it is possible to mobilize the windows. It’s a marriage between windows flexibility to robotic mobility. The final result of this research is an autonomous robot which is able to navigate through the environment by avoiding obstacles in a dynamic environment using 3D vision. Solution comprises occupancy grid generation by using depth image of Kinect as main input feed combined with data gathered by an Inertial Measurement Unit (IMU). Data then further processed real-time to identify current position of the robot. Also, by using Fuzzy Logic approach, dynamic obstacle avoidance and navigation is achieved. Entire application was developed by LabVIEW and it is installed inside LattePanda single board computer. LattePanda is playing a crucial role here as the central processing unit for all the functions. The robot is developed as a first step for a flexible test platform which can be further improved to achieve flawless undefined environment navigation through tweaking algorithms and introducing more sensory data.
Direct Visualization of Spatial and Temporal Patterns of Antimicrobial Action within Model Oral Bioﬁlms (cid:1)

A microscopic method for noninvasively visualizing the action of an antimicrobial agent inside a bioﬁlm was developed and applied to describe spatial and temporal patterns of mouthrinse activity on model oral bioﬁlms. Three species bioﬁlms of Streptococcus oralis , Streptococcus gordonii , and Actinomyces naeslundii were grown in glass capillary ﬂow cells. Bacterial cells were stained with the ﬂuorogenic esterase substrate Calcien AM (CAM). Loss of green ﬂuorescence upon exposure to an antimicrobial formulation was subsequently imaged by time-lapse confocal laser scanning microscopy. When an antimicrobial mouthrinse containing chlorhexidine digluconate was administered, a gradual loss of green ﬂuorescence was observed that began at the periphery of cell clusters where they adjoined the ﬂowing bulk ﬂuid and progressed inward over a time period of several minutes. Image analysis was performed to quantify a penetration velocity of 4 (cid:1) m/min. An enzyme-based antimicrobial formulation led to a gradual, continually slowing loss of ﬂuorescence in a pattern that was qualitatively different from the behavior observed with chlorhexidine. Ethanol at 11.6% had little effect on the bioﬁlm. None of these treatments resulted in the removal of biomass from the bioﬁlm. Most methods to measure or visualize antimicrobial
Register Allocation and Instruction Scheduling for an Efficient Retargetable Compiler

: System designers increasingly employ compilers not only for pure application programming after an ASIP’s architecture is fixed but also for architecture exploration. During exploration, the designer tunes the initial architecture for a given application or application set. This tuning requires an iterative, profiling based methodology, by which the designer evaluates the cost-performance ratios of many potential architecture configurations. If C or C++ application programming is intended, the designer should apply a compiler-in-the-loop type of architecture exploration, thus avoiding a compiler and architecture mismatch. The compiler designers often have difficulty ensuring good code quality because an instruction set designed primarily from a hardware designer’s viewpoint fails to support their efforts. This problem is taken care by retargetable compilers. These compilers take processor description as input so that the machine code can be generated according to this description. Like traditional compilers, the code quality of retargetable compilers depends on the back end of the compiler. This paper describes a new register allocation and instruction scheduling technique.
Interactive Learning Platform for Kids

—Education is important for every individual and the country’s growth. Our basic objective is to help a child to build a strong foundation for their future academic success by providing a comprehensive and engaging online curriculum to greatly assist early learners to succeed in kindergarten and in early elementary school programs. The current e-learning platforms lack the appropriate infrastructures efficacy. This platform will provide an optimum affordable price package to educational organizations in particular for trainers and learners. We need to combine various technologies to achieve this particular objective.
control of at nano scale in resorcinol formaldehyde carbon

Organic aerogels were synthesized by sol–gel polymerization of resorcinol (R) with formaldehyde (F) catalyzed by sodium carbonate (C) followed by vacuum drying. The inﬂuence of the resorcinol/sodium carbonate ratio (R/C) on the porous structure of the resultant aerogels was investigated. The nitrogen adsorption–desorption mea-surements show that the aerogels possess a well developed porous structure and mesoporosity was found to increase with increasing the R/C ratio. Carbon aerogels were obtained by carbonization of RF aerogels. The carbonization temperature impacts the microstructure of the aerogels by pore transformations during carbonization probably due to the formation of micropores and shrinkage of the gel structure. The results showed that a temperature of 1073 K is more effective in the development of the pore structure of the gel. Activated carbon aerogels were obtained from the CO 2 activation of carbon aerogels. Activation results in an increase in the number of both micropores and mesopores, indicative of pore creation in the structure of the carbon. Activation at higher temperatures results in a higher degree of burn off and increases the pore volume and the surface area remarkably without change of the basic porous structure, pore size, and pore size distribution.
Sample Size Calculation for Continuous and Discrete Data

The purpose of this paper is to provide a practical guidance to researcher in social science on sample size determination. Sample size calculation is a basic and indispensable requisite for applied research in social science. Most research in social science is about population studies. In population studies, researchers could only study the sample of the population because detailed examination of the population is not feasible. In order for the sample to represent the population, a minimum sample must be obtained. Thus, minimum sample determination becomes a critical requisite in survey collection, interviews, or data collection. In this paper, we present minimum sample calculation methods for continuous and discrete data in non-time series scenarios. The data came from randomly generated values by using Excel command: rand()*100 for test sample sizes of n = 5, 10, 20, 30, 50, 100, 200, 300, 400, 500
prolongs the embryonic S phase at the mid-blastula transition.

In preparation for dramatic morphogenetic events of gastrulation, rapid embryonic cell cycles slow at the mid-blastula transition (MBT). In Drosophila melanogaster embryos, down-regulation of cyclin-dependent kinase 1 (Cdk1) activity initiates this slowing by delay-ing replication of heterochromatic satellite sequences and extending S phase. We found that Cdk1 activity inhibited the chromatin association of Rap1 interacting factor 1 (Rif1), a candidate repressor of replication. Furthermore, Rif1 bound selectively to satellite sequences following Cdk1 down-regulation at the MBT. In the next S phase, Rif1 dissociated from different satellites in an orderly schedule that anticipated their replication. Rif1 lacking potential phosphorylation sites failed to dissociate and dominantly prevented completion of replication. Loss of Rif1 in mutant embryos shortened the post-MBT S phase and rescued embryonic cell cycles disrupted by depletion of the S phase–promoting kinase, cell division cycle 7 (Cdc7). Our work shows that Rif1 and S phase kinases compose a replication timer controlling first the developmental onset of late replication and then the precise schedule of replication within S phase. In addition, we describe how onset of late replication fits into the progressive maturation of heterochromatin during development. of the duration of S phase, the factors involved in this process remain unknown. Here, we use genetics and real-time microscopy to visualize replication in developing fly embryos and show that the protein Rap1 interacting factor 1 (Rif1) mediates the introduction of late replication at the MBT. We find that at this stage, Rif1 binds to and selectively delays the replication of large blocks of repetitive DNA known as satellite sequences. During the rapid cell cycles before the MBT, we show that the cyclin-dependent kinase 1 (Cdk1) prevents Rif1 from slowing down DNA replication at the MBT allows Rif1 to associate with the satellite sequences and initiate cell cycle slowing. Our work provides new insights into the temporal programming of S phase and into the embryonic origin of late replication. as Cdc7, also contribute to this slowing. Then, at the MBT, developmentally programmed down-regulation of Cdk1 allows persistent binding of Rif1 to satellite DNA and the introduction of a late replication program, thereby extending the duration of S phase. Cdc7, cell division cycle 7; CDK, cyclin-dependent kinase; Cdk1, cyclin- dependent kinase 1; DDK, Dbf4-dependent kinase; MBT, mid-blastula transition; PP1a, protein phosphate 1a; pre-RC, pre-replicative complex; of Rif1 from large domains of the genome and show that Rif1 release is coupled to onset of replication, we suggest that the circuit Rif1 release as timer as a means of the firing of origins in local domains.
Palaeomagnetism of the upper volcanic supergroup, southern part of the Occidental, Mexico

Ashﬂow tuffs, or ignimbrites havebeenrecentlyproposedtobeagoodmaterial for palaeointensity determination. In this paper, we present a multidisciplinary study, combining geochronol-ogy, petrology, rock magnetism and palaeomagnetism, carried out on Oligocene to Early Miocene ignimbrites and related ﬂows from the southern part of the Sierra Madre Occidental. Two new 40 Ar/ 39 Ar ages were determined for ignimbrites; 20.4 ± 0.2 Ma (the youngest age obtained so far in this area) and 29.2 ± 0.5 Ma. Density measurements, as a proxy for welding, proved to be extremely useful to estimate the emplacement temperature and the origin of the magnetizations carried by the ignimbrites. After alternating ﬁeld and thermal demagnetizations, the mean palaeomagnetic pole (Lat = 66.8 ◦ N; Long = 180.5 ◦ E; Kappa = 142; A 95 = 6.3 ◦ ), calculated for the period 28–31 Ma, is in close agreement with our only Miocene determination. Comparison with the North America Synthetic Apparent Polar Path indicates a net counter-clockwise vertical axis rotation of about 10 ± 4 ◦ compared to stable North America, which occurred likely during the last extensional episode in the Late Miocene (ca. 12–9 Ma). Palaeointensity estimates, obtained with the Thellier–Coe method, are mainly questionable and should not be used for global interpretation. Therefore, these ignimbrites are not a viable material for reliable palaeointensity determinations.
Real-time Mapping of Periodic Dance Movements to Control Tempo in Electronic Dance Music

Dancing in beat to the music of one’s favorite DJ leads of-tentimes to a powerful and euphoric experience. In this study we investigate the effect of putting a dancer in control of music playback tempo based on a real-time estimation of body rhythm and tempo manipulation of audio. A prototype was developed and tested in collaboration with users, followed by a main study where the ﬁnal prototype was evaluated. A questionnaire was provided to obtain ratings regarding subjective experience, and open-ended questions were posed in order to obtain further insights for future development. Our results imply the potential for enhanced engagement and enjoyment of the music when being able to manipulate the tempo, and document important design aspects for real-time tempo control.
Oxygen in Unevolved Metal-Poor Stars from Keck Ultraviolet HIRES Spectra

The determination of the abundance of oxygen (O) is important in our understanding of mass–spectrum of previous generations of stars, the evolution of the Galaxy, stellar evolution, and the age-metallicity relation. We have measured O in 24 unevolved stars with Keck HIRES observations of the OH lines in the ultraviolet spectral region at a spectral resolution of ∼45,000. The spectra have high signal-to-noise ratios, typically 60–110, and high dispersion, 0.022 Å per pixel. Very special care has been taken in determining the stellar parameters in a consistent way and we have done this for two different, plausible temperature scales. The O abundance from OH has been computed by spectrum synthesis techniques for all 24 stars plus the Sun for which we have a Keck spectrum of the daytime sky. In addition, we determined O abundances from the O I triplet with our stellar parameters and the published equivalent widths of the three O I lines from six sources. The comparison of data analyzed with the same, consistently determined, parameter sets show generally excellent agreement in the O abundances; differences in the origin of the models (not the parameters) may result in abundance differences of 0.07 to 0.11 dex. We show that the O abundances from OH and from O I are reliable and independent and average the two for the adopted O. This averaging has the great benefit of neutralizing uncertainties in the parameters since OH and O I strengths depend on effective temperature and gravity in opposite directions. For these cool, unevolved stars we find that O is enhanced relative to Fe with a completely linear relation between [O/H] and [Fe/H] over 3 orders of magnitude with very little scatter; taking the errors into account in determining the fits, we find [O/H] = +0.66 (±0.02) [Fe/H] + 0.05 (±0.04). The O abundances from 76 disk stars of Edvardsson et al. have a measured slope of 0.66 (identical to our halo dwarf stars) and fit this relationship smoothly. The relation between [O/Fe] and [Fe/H] is robustly linear and shows no sign of a break at metallicities between -1.0 and -2.0, as has been discussed by others. At low metallicities, [Fe/H] < -3.0, [O/Fe] > +1.0. The fit to this relationship (taking the errors into account) is [O/Fe] = -0.35 (±0.03) [Fe/H] + 0.03 (±0.05). The enrichment of O is probably still from massive stars and Type II supernovae; however, the absence of a break in [O/Fe] versus [Fe/H] runs counter to traditional galactic evolution models, and the interplay of Type II and Type Ia supernovae in the production of O and Fe should be reexamined. It appears that either Fe or O can be used as a chronometer in studies of galactic evolution.
Soybean Breeding on Seed Composition Trait Soybean Breeding on Seed Composition Trait

Soybean is a most important crop providing edible oil and plant protein source for human beings, in addition to animal feed because of high protein and oil content. This review summarized the progresses in the QTL mapping, candidate gene cloning and functional analysis and also the regulation of soybean oil and seed storage protein accumulation. Furthermore, as soybean genome has been sequenced and released, prospects of multiple omics and advanced biotechnology should be combined and applied for further refine research and high-quality breeding. of the FAD2 gene family reveals the limitations of gel based TILLING in genes with high
Trial Testing Efficiency of Algorithms for Task Execution in Multi-Processor Systems Experimentation System for Priority Scheduling and Open Pool of Tasks

—The need of an increased throughput has led to a new approach in the computer system design. In order to face the growing demands of a potential user, focus on multitasking and maximally enhance the capabilities-multiprocessor systems have been introduced. In such systems, two or more Central Processing Units (CPU) are working in parallel, sharing computer bus and communicating through shared memory. In this paper, the homogenous system, with three identical processors, having a common ready tasks’ queue, is considered. It is modeled with the use of the adequate simulator. The challenge is to apply the best possible scheduling algorithms, as to provide an optimal system, which meets all the quality of service requirements. The conducted research on both-open and closed pool of tasks is fully described. The results are presented and thoroughly analyzed in order to choose the best possible algorithms for the discussed cases.
Modular properties of Eisenstein series and statistical physics

The temperature inversion properties of the internal energy, E, on odd spheres, and its derivatives, together with their expression in elliptic terms, as expounded in previous papers, are extended to the integrals of E, thence making contact with the theory of modular forms with rational period functions. I point out that the period functions of (holomorphic) Eisenstein series computed by Zagier were already available since the time of Ramanujan and I give a rederivation by contour integration. Removing both the Planck and Casimir terms gives a fully subtracted form of the series which allows a more elegant and compact treatment. I expound the relation to Eichler cohomology cocycles and also rewrite the theory in a distributional, Green function way. Some historical and technical developments of the Selberg--Chowla formula are presented, and it is suggested that this be renamed the Epstein--Kober formula. On another point of historical justice, the work of Koshliakov on Dirichlet series is reprised. A representation of a `massive' generalised Dirchlet series due to Berndt is also reproved, applied to the Epstein series and to a derivation of the standard statistical mode sum, interpreted as a Kronecker limit formula.
Lighting for high-quality workplaces

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ASSESSMENT OF ANXIETY AMONG DOCTORS DURING COVID-19 PANDEMIC IN SECONDARY AND TERTIARY CARE HOSPITALS

: Objective: To assess the level of anxiety among doctors during COVID-19 pandemic and the associated risk factors. Methods: This cross-sectional study was conducted from 24th April to 10th May, 2020 in Lahore, Pakistan. The data was collected via an online web-based questionnaire. Questionnaire was used to assess anxiety level using GAD-7 scale among health-care professionals and the risk factors playing role in it. Results: One hundred and fifty-one doctors participated in our study. Out of these 151 participants, 69 (45.7%) had mild, 22 (14.6%) had moderate, and 5 (3.3%) had severe symptoms of anxiety, whereas the remaining 55 (36.4%) had no anxiety according to GAD-7 scale. The median [interquartile range (IQR)] GAD-7 scale scores are 6.0 [3.00-9.00]. Females showed more severe degrees of measurement of anxiety symptoms than males. Doctors dealing with COVID-19 patients showed higher level of anxiety as compared to the doctors who were not dealing with COVID-19 patients, having a significant difference (U = 9.697, p = 0.008). One hundred and forty-one (93.4%) participants were concerned about being exposed to COVID-19 at work and 112 (74.2 %) thought