Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamical Behaviors of a Stochastic SIQR Epidemic Model with Quarantine-Adjusted Incidence

We study the dynamics of a stochastic SIQR epidemic disease with quarantine-adjusted incidence in this article. In order to find the sufficient conditions for the ergodicity and extermination of the model, we construct suitable stochastic Lyapunov functions and find the results of the stochastic SIQR epidemic model. From the results, we find that when the white noise is relatively large, the infectious diseases will become extinct; this also shows that the intervention of white noise will play an important part in controlling the spread of the disease.
Cultural Heritage Information Retrieval: Data Modelling and Applications

Knowledge organization and development of better information retrieval techniques were of great importance from very an early time period in human history. The need has grown high for such systems with the advent of digitization and the web era. Computer systems and web have offered easier retrieval of information in almost no time. However, as the amount of data increased, these systems were not able to work well in terms of accuracy and precision of retrieval. Semantic Web concept was introduced to overcome the issue by converting the web of documents to a web of data. Semantic Web technologies make data machine-understandable so that information retrieval can be more precise and accurate. The Cultural Heritage community is one of the first domains to adopt Semantic Web recommendations and technologies, which can provide interoperability be-tween various organizations by creating a shared understanding in the community. The data in the CH domain differs widely with types and formats. Also, a lot of organizations and experts from various fields interact through different processes within this community. Due to the mentioned needs, the CH employed Semantic Web technologies step by step along its evolution process for better knowledge management and a uniform understanding among the community. In this paper, we presented this process from its initial steps to the latest developments in the CH information retrieval. By making data machine-readable, the Semantic Web enables a wide set of opportunities to develop smart applications based on rich CH information besides better information retrieval. In this paper, we also reviewed intelligent applications and services developed in the CH domain after establishing semantic data models and Knowledge Organization Systems.
The Concordia NLG Surface Realizer at SRST 2019

This paper presents the model we developed for the shallow track of the 2019 NLG Surface Realization Shared Task. The model reconstructs sentences whose word order and word inflections were removed. We divided the problem into two sub-problems: reordering and inflecting. For the purpose of reordering, we used a pointer network integrated with a transformer model as its encoder-decoder modules. In order to generate the inflected forms of tokens, a Feed Forward Neural Network was employed.
Cyber-Social-Physical Features for Mood Prediction over Online Social Networks

Context-Aware Recommendation Systems (CARS) are more effective when adapting their recommendations to a specific user preference. Since modal context (mood) has a direct impact on user preferences, we aim at having an accurate mood prediction to improve recommendation performance. Online social networks (OSNs) have grown rapidly over the last decade. These social platforms provide the opportunity to gather the distributed online activities for each user. Tracking and aggregating these data could result in useful insights for user modeling and understanding. In this paper, we built a personalized system that can predict the upcoming user mood even in days without text-type tweets. We, first, studied the correlation of three types of features (cyber, social and physical) with a user mood. Then, used these features to train a predictive system. The results suggest a statistically significant correlation between user mood and his cyber, social and physical activities distributed among different OSNs which leads to a low RMSE in our predictive system. Keyword Mood prediction,Recommendation system,OSNs analysis,Pearson correlation
Structure Controlled Synthesis of Vertically Aligned Carbon Nanotubes Using Thermal Chemical Vapor Deposition Process

Due to their unique one-dimensional nanostructure along with excellent mechanical, electrical, and optical properties, carbon nanotubes (CNTs) become a promising material for diverse nanotechnology applications. However, large-scale and structure controlled synthesis of CNTs still have many difficulties due to the lack of understanding of the fundamental growth mechanism of CNTs, as well as the difficulty of controlling atomic-scale physical and chemical reactions during the nanotube growth process. Especially, controlling the number of graphene wall, diameter, and chirality of CNTs are the most important issues that need to be solved to harness the full potential of CNTs. Here we report the large-scale selective synthesis of vertically aligned single walled carbon nanotubes (SWNTs) and double walled carbon nanotubes (DWNTs) by controlling the size of catalyst nanoparticles in the highly effective oxygen assisted thermal chemical vapor deposition (CVD) process. We also demonstrate a simple but powerful strategy for synthesizing ultrahigh density and diameter selected vertically aligned SWNTs through the precise control of carbon flow during a thermal CVD process.
Efficacy of Ichthammol Glycerin Pack and Steroid Antibiotic Pack as Initial Treatment of Acute Otitis Externa: A Comparative Study

1,3 Assistant Professor, 2 Senior Resident, 4 Associate Professor SGT Medical College, Budhera, Gurugram Abstract Introduction: Otitis externa, characterized by general oedema and erythema of the external auditory canal, can be treated by various modalities including aural toilet, topical antibiotic agents, with or without corticosteroids. This prospective randomized study has been undertaken to compare the efficacy of ichthammol glycerin pack with steroid antibiotic pack as the initial treatment for acute otitis externa. Materials and Methods: A prospective randomized study was carried out on 60 patients diagnosed with acute otitis externa. The patients were randomly divided into two groups. In group A, Ichthammol glycerin pack was kept and in group B, steroid antibiotic pack was inserted. In all the patients the tragal tenderness, VAS score and edema score at the time of presentation were compared with these scores at two days follow up. Results: It was observed that there was statistically significant decrease in the mean pain score and the edema of the external auditory canal (p< 0.001) in both group A as well as group B. Even the tragal tenderness significantly improved within 48 hrs. in both groups (p<0.001). But there was no statistically significant difference in the efficacy of both the groups compared to each other. Conclusion: In this study, both ichthammol glycerin as well as antibiotic steroid combination proved to be effective as the initial treatment of acute otitis externa. Still we would like to recommend ichthammol glycerin pack as initial treatment as it is more cost effective with no risk of antibiotic resistance and is safe in cases of immunocompromised patients.
Non-Invasive System for Determining the Level of Iron in the Blood

In this article the technique of non-invasive determination of a iron level in a blood and, therefore, hemoglobin is proposed. The system operates on the basis of changes in the optical transparency of tissue under the influence of an external magnetic field, based on the fact that the tissue is saturated with blood containing the iron. Since the change in transparency is extremely small, a number of measures have been taken to highlight the useful signal, namely, at first, a constant component determined by the average illumination of the receiver is excluded, and then the signal is detected through the implementation of synchronous detection, which allows recognizing the signal at a signal-to-noise ratio of −100 dB.
A Cylindrical Lens Antenna With Extremely Flat Beams

This paper presents an extremely flat-beam cylindrical lens antenna with a 180 mm ( $36~\lambda$ ) diameter lens at 60 GHz. The parameters of lens antennas in the horizontal plane i.e. dielectric constants, radii, and focal length are optimized to widen beams in the vertical plane while obtaining pencil beams in the horizontal plane. The optimization procedure consists of a theoretical method and differential evolution (DE) algorithm. This beam-widening idea is analyzed and proved to be feasible owing to cylindrical apertures, which is quite different from the results of antennas with planar apertures. Then, the permittivity distribution which results in an extremely flat beam is investigated and shows a novel S-shape rather than following either the law of modified Luneberg lens or the Luneberg’s Law. Finally, the proposed lens antenna is fabricated and measured. At the design frequency of 60 GHz, the measured 3-dB E- and H-plane beamwidths separately are 100.4° and 2.3°. As compared to the gain peak, the measured and simulated gain drop at ±60° in the E-plane are less than 4 dB and 5 dB, respectively. Measured results show good agreements with the simulated results, thus validating the extremely flat beam of the proposed lens antenna and the effectiveness of the optimization procedure.
Utilization of E-Bus Applied to Urban Lines

Electricity instead of oil for vehicle propulsion will contribute to achieve the European Union targets on CO2 emissions reduction. So, in this paper, the performance of a full electric bus on a fixed route in the city of Milan is analyzed. In particular the study compares the performances of a conventional fuel and an electric bus from the point of view of the energy consumption, charging strategy and avoided harmful emissions. The analysis presented shows that significant benefits can be achieved by employing an electric bus instead of a diesel one, especially in terms of avoided harmful emissions.
MPLNET UV LIDAR INTEGRATION: TESTS AND PRELIMINARY RESULTS OF FIRST INTERCOMPARISON AT NASA GSFC IN SPRING 2012

The NASA Micro Pulse Lidar Network (MPLNET) is a federated network of Micro Pulse Lidar (MPL) systems designed to continuously measure aerosol and cloud vertical structure, day and night, over long time periods required to contribute to climate change studies and provide ground validation for models and satellite sensors in the NASA Earth Observing System (EOS). In spring 2012, twenty-one sites were active worldwide; in addition, numerous temporary sites have been deployed in support of various field campaigns. Most MPLNET sites are colocated with the NASA Aerosol Robotic Network (AERONET) sites. In this paper, we present some preliminary results of the first effort by MPLNET to integrate other commercial UV lidars than MPL systems in the network. This would provide more dense observations and, when possible, take advantage of different wavelengths to study aerosol optical and microphysical properties. A Leosphere ALS-450 UV lidar was operated next to the standard MPLNET lidar and AERONET sunphotometer at NASA Goddard Space Flight Center from March to May 2012. These two different lidars will be, when possible, jointly deployed in support of the NASA SEACRS field campaign in summer 2012, to study aerosol impacts in South East Asia (SEA).
Flexible Dynamic Array Allocation, 12/2000

ot every embedded problem can be described in definite terms at the outset. Frequently, a certain amount of flexibility is needed. The C language doesn’t help us much in this regard; it’s pretty much a static language, with dynamic capabilities defined in libraries as an afterthought. The simplest way to gain flexibility, up to a certain limit, is to define an array of values or structures with a fixed dimension. As long as the attempted allocation of slots in the array does not exceed the dimensional limit, then everything is okay. This, however, uses a fixed, and almost always larger than necessary, block of memory. If several of these allocations are used in the several steps of a lengthy calculation, a lot more memory gets used up than necessary. If memory could be allocated/deallocated for each step, a smaller, more flexible program would result. The usual allocation functions—malloc(), realloc(), and so on—are useful in many cases, but they return an address of a block of memory that does not impose any structure on what is to be stored there. I, and every other programmer, wrestle with this issue whether creating embedded systems or any other type of software. I created the following scheme because I wanted some way to specify structural characteristics at the outset that would make using dynamically allocated memory much easier.
A Two-step Impedance Measurement Method using One Port Technique with VNA

new two-step method is proposed to accurately analyze time-domain impedance based on VNA frequency-domain data in this paper. The method is based on one port reflection scatter parameter to construct time-domain response of the DUT. The method proposed in this paper is mainly composed of two steps. In the first step, we calibrate the instrument at the test port, and then use the traceable standard impedance air line for time domain setting calibration; the second step is to obtain the impedance characteristics of the device under test based on above setting. Finally, a practical measurement example of stepped impedance air line is given to verify the effectiveness of the method.
A T ] 2 5 O ct 2 01 8 TOPOLOGICAL SPACES OF PERSISTENCE MODULES AND THEIR PROPERTIES

Persistence modules are a central algebraic object arising in topological data analysis. The notion of interleaving provides a natural way to measure distances between persistence modules. We consider various classes of persistence modules, including many of those that have been previously studied, and describe the relationships between them. In the cases where these classes are sets, interleaving distance induces a topology. We undertake a systematic study the resulting topological spaces and their basic topological properties.
Optimal Face Retrieval From LFW Dataset

A method for face retrieval will proposed to describe. In most of the cases various methods are unable to increase retrieval rate of face images especially LFW images, by using this proposed system the retrieval rate increased. In face retrieval, objects of inter class should have larger distance than intra class objects. By extracting LBP & SIFT features of training image, shape context and inner distance shape contexts methods are applied on test image for deriving relevant images with better performance.In particular, when measures the input distance are quite different from the truth or the variance of data from the same class is too large, in such a condition, our proposed system will use the algorithm „Optimal Face Retrieval‟.
The future of rail inspection technology and the INTERAIL FP 7 project

Rail infrastructure managers are showing strong interest in the development of novel techniques for the reliable and accurate evaluation of rails which will lead to the improvement of the efficiency of preventive maintenance and reduce the need for reactive maintenance to the lowest possible level. Commonly employed rail inspection methodologies do not achieve the highest level of reliability and costeffectiveness objectives required by the industry. Inspection systems based on conventional ultrasonics probes will remain the main rail evaluation method in the foreseeable future. However, an integrated high-speed system which will combine automated visual inspection, with electromagnetic sensors and conventional ultrasonics could offer a more efficient and reliable method for inspecting rails in the short to medium-term. This would also allow sufficient time for novel non-destructive evaluation technologies under development to mature adequately before being successfully implemented. This paper will discuss in detail the novel rail inspection technologies currently being researched as well as the technical developments within the INTERAIL FP7 project which started in October 2009. Furthermore, the short and long-term outlook of rail inspection technology and standards will be thoroughly presented. Finally, the steps that need to be taken to ensure the successful application of new technologies in the field will also be analysed.
Climate and weather factors modulating river flows in southern Angola

The large‐scale circulation and thermodynamic fields that modulate the flow of the Kavango River in southern Angola during austral summer are studied. According to composite patterns constructed from National Center for Environmental Prediction (NCEP) data, enhanced river flow is associated with an anomalous wave train of upper level winds that emanate from the North Atlantic. Sea‐surface temperatures (SST) show a warm‐north/cool‐south Atlantic dipole condition as the Kavango River rises. Correlations are analysed with respect to the Kavango River flow and a 0 lag value of − 0.41 is found for the upper zonal wind over the North Atlantic. Rainfall over the African Sahel region is positively linked with Kavango River flow at 6 month lead time (r = + 0.34). The work is extended to the event scale and it is found that winds draw tropical moisture over southern Angola in response to an anomalous low‐high pair and bifurcated subtropical jet stream. A continental scale sea breeze circulation amplifies the convection during afternoons. Knowledge of run‐off into Namibia is critical to the management and planning of water resources in the northern Kalahari savanna. Copyright © 2009 Royal Meteorological Society
PaSSIL: A New Keystroke Dynamics System for Password Strengthening Based on Inductive Learning

In this paper, anew inductive learning system, called PaSSIL, has been developed aims at strengthening the security of systems through keystroke dynamics against both online and offline attackers. The proposed system involves collecting data that represents the biometric patterns of users and converting this biometric data into features that can be manipulated by our inductive learning algorithm called ILA that produces inductive rules that are, in turn, used to classify the legitimate user (called the owner) from adversaries. This system is non-static and since features are a function of the user and the environment, it takes into consideration the gradual changes that happen in the way a user enters his password. Experiments have been conducted on data collected from hundreds of users and compared with our previous work and with some well-known systems. The results obtained are comparable with other systems if not better. Key-Words: Keystroke Dynamics, Inductive Learning, ILA, Biometrics, Security
Characterization of onion genotypes by use of RAPD markers

In order to estimate, at the molecular level, the divergence of parental lines that were used in diallel crossbreeding for production of superior offspring (F1 generation hybrids) at the Institute for Vegetable Crops, the molecular analysis using five RAPD markers for five pairs of parents has been performed. It gives an insight into their genetic polymorphism and the possibility of their further use in breeding programs. Information from this research has pioneered the application of molecular markers of onion in Serbia. Analyses were performed using the RAPD primers, which in previous studies established a high degree of polymorphism. In all five cases there was a corresponding amplification of DNA segments. From totally 50 bands analyzed, the length of fragments ranged from 500 to 3000 bp. Number of polymorphic band per example was 8 to 13. In our research at the level of the analyzed primers, a high degree of polymorphism between analyzed genotypes has been found. Based on UPGMA dendogram, analyzed genotypes were divided into two main clusters and two subclusters.
Organoids reveal that inherent radiosensitivity of small and large intestinal stem cells determines organ sensitivity.

Tissue survival responses to ionizing radiation are nonlinear with dose, rather yielding tissue-specific descending curves that impede straightforward analysis of biologic effects. Apoptotic cell death often occurs at low doses while at clinically relevant intermediate doses double-strand break misrepair yields mitotic death that determines outcome. As researchers frequently use a single low dose for experimentation, such strategies may inaccurately depict inherent tissue responses. Cutting edge radiobiology has adopted full dose survival profiling and devised mathematical algorithms to fit curves to observed data to generate highly reproducible numerical data that accurately define clinically relevant inherent radiosensitivities. Here we established a protocol for irradiating organoids that delivers radiation profiles simulating the organ of origin. This technique yielded highly similar dose survival curves of small and large intestinal crypts in vivo and their cognate organoids analyzed by the single hit multi-target (SHMT) algorithm, outcomes reflecting the inherent radiation profile of their respective Lgr5+ stem cell populations. As this technological advance is quantitative, it will be useful for accurate evaluation of intestinal (patho)physiology and drug screening.