Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamical Systems in the Analysis of Biological Sequences

The Chaos Game Representation (CGR) maps a sequence of letters taken from a finite alphabet onto the unit square in $R^2$. While it is a popular tool, few mathematical results have been proved to date. In this report, we show that the CGR gives rise to a limit measure, assuming only the input sequence is stationary ergodic. Some more precise properties are given in the i.i. d. and Markov cases. A new family of statistical tests to characterize the randomness of the inputs is proposed and analyzed. Finally, some basic properties of the CGR are used to generalize the notion of genomic signature
Innovative treatments for epilepsy: Venom peptides, cannabinoids, and neurostimulation

Antiepileptic drugs have been successfully treating epilepsy and providing individuals sustained seizure freedom. However, about 30% of the patients with epilepsy present drug resistance, which means they are not responsive to the pharmacological treatment. Considering this, it becomes extremely relevant to pursue alternative therapeutic approaches, in order to provide appropriate treatment for those patients and also improve their quality of life. In the light of that, this review aims to discuss some innovative options for the treatment of epilepsy, which are currently under investigation, addressing strategies that go from therapeutic compounds to clinical procedures. For instance, peptides derived from animal venoms, such as wasps, spiders, and scorpions, demonstrate to be promising antiepileptic molecules, acting on a variety of targets. Other options are cannabinoids and compounds that modulate the endocannabinoid system, since it is now known that this network is involved in the pathophysiology of epilepsy. Furthermore, neurostimulation is another strategy, being an alternative clinical procedure for drug‐resistant patients who are not eligible for palliative surgeries.
High Prevalence and Persistence of Escherichia coli Strains Producing Shiga Toxin Subtype 2k in Goat Herds

Strains of the recently reported Stx2k-STEC have been circulating in a variety of sources over time in China. Here, we show a high prevalence of Stx2k-STEC in goat herds. ABSTRACT Shiga toxin (Stx)-producing Escherichia coli (STEC) is a zoonotic pathogen with the ability to cause severe diseases like hemorrhagic colitis (HC) and hemolytic uremic syndrome (HUS). Shiga toxin (Stx) is the key virulence factor in STEC and can be classified into two types, Stx1 and Stx2, and different subtypes. Stx2k is a newly reported Stx2 subtype in E. coli strains from diarrheal patients, animals, and raw meats exclusively in China so far. To understand the reservoir of Stx2k-producing E. coli (Stx2k-STEC), we investigated Stx2k-STEC strains in goat herds and examined their genetic characteristics using whole-genome sequencing. A total of 448 STEC strains were recovered from 2,896 goat fecal samples, and 37.95% (170/448) were Stx2k-STEC. Stx2k-STEC strains of serotype O93:H28 and sequence type 4038 (ST4038) were the most predominant and were detected over several years. Notably, 55% of Stx2k-STEC strains carried the heat-labile toxin (LT)-encoding gene (elt) defining enterotoxigenic E. coli (ETEC), thereby exhibiting the hybrid STEC/ETEC pathotype. Stx2k-converting prophage genomes clustered into four groups and exhibited high similarity within each group. Strains from patients, raw meat, sheep, and goats were intermixed distributed in the phylogenetic tree, indicating the risk for cross-species spread of Stx2k-STEC and pathogenic potential for humans. Further studies are required to investigate the Stx2k-STEC strains in other reservoirs and to understand the mechanism of persistence in these hosts. IMPORTANCE Strains of the recently reported Stx2k-STEC have been circulating in a variety of sources over time in China. Here, we show a high prevalence of Stx2k-STEC in goat herds. More than half of the strains were of the hybrid STEC/ETEC pathotype. Stx2k-STEC strains of predominant serotypes have been widespread in the goat herds over several years. Stx2k-converting prophages have exhibited a high level of similarity across geographical regions and time and might be maintained and transmitted horizontally. Given that goat-derived Stx2k-STEC strains share similar genetic backbones with patient-derived strains, the high prevalence of Stx2k-STEC in goats suggests that there is a risk of cross-species spread and that these strains may pose pathogenetic potential to humans. Our study thus highlights the need to monitor human Stx2k-STEC infections in this region and, by extension, in other geographic locations.
Exploring the Influence of Service Quality on Purchase Intention (Evidence from RT Restaurant Sukkur)

The purpose of this research is to explore the influence of service quality and purchase intention of customer of RT restaurants of Sukkur. Strategically, researcher use non probability convenient sampling method. Sample of 146 customers in two RT restaurants of Sukkur participate in this research, the results show the higher reliability and validity of tool used in this research. Furthermore, 88.7 percent model is fitted in this research which represents the goodness of the model.This reseach conclude that Tangibility, Responsiveness and Empathy has a positive and significant influence on purchase intention however, results of Relibility and Assurance shows insignificant relation with purchase intention. Moreover, this research shows that higher service quality influence purchase intention of the customer in RT restruant of Sukkur.
Automated Reuse of Software Reuse Activities in an Industrial Environment – Case Study Results

- The reuse of prefabricated software units, such as classes, components and services is one of the central topics of software engineering and requires lot of knowledge and experience. Instead of focusing on the knowledge management processes and a resulting lifelong learning process of individuals, this paper shows an experimental study based on an approach of automation of knowledge based reuse activities. This is done by employing a unified view of software construction activities and software units used by these activities in an industrial environment. It concludes that software engineers of different industrial business units and knowledge levels can be supported by performing different software construction activities with only one approach, the result of which avoids a long learning process for software engineers
Convex bodies and algebraic geometry : an introduction to the theory of toric varieties

1. Fans and Toric Varieties. - 1.1 Strongly Convex Rational Polyhedral Cones and Fans. - 1.2 Toric Varieties. - 1.3 Orbit Decomposition, Manifolds with Corners and the Fundamental Group. - 1.4 Nonsingularity and Compactness. - 1.5 Equivariant Holomorphic Maps. - 1.6 Low Dimensional Toric Singularities and Finite Continued Fractions. - 1.7 Birational Geometry of Toric Varieties. - 2. Integral Convex Polytopes and Toric Projective Varieties. - 2.1 Equivariant Line Bundles, Invariant Cartier Divisors and Support Functions. - 2.2 Cohomology of Compact Toric Varieties. - 2.3 Equivariant Holomorphic Maps to Projective Spaces. - 2.4 Toric Projective Varieties. - 2.5 Mori's Theory and Toric Projective Varieties. - 3. Toric Varieties and Holomorphic Differential Forms. - 3.1 Differential Forms with Logarithmic Poles. - 3.2 Ishida's Complexes. - 3.3 Compact Toric Varieties and Holomorphic Differential Forms. - 3.4 Automorphism Groups of Toric Varieties and the Cremona Groups. - 4. Applications. - 4.1 Periodic Continued Fractions and Two-Dimensional Toric Varieties. - 4.2 Cusp Singularities. - 4.3 Compact Quotients of Toric Varieties. - Appendix. Geometry of Convex Sets. - A.1 Convex Polyhedral Cones. - A.2 Convex Polyhedra. - A.3 Support Functions. - A.4 The Mixed Volume of Compact Convex Sets. - A.5 Morphology for Convex Polytopes. - References.
Specific Absorption Rate Computation for Human Body Exposure to Mm Waves Using Fuzzy Systems as Approach

The interaction between the human tissues and the Radiations waves produce a chemical reaction which increase the temperature in human body tissues, thus this chemical reaction may generate a several potential health effects as DNA Damage; Alzheimer and brain cancer, despite the previous studies and several researches, the radiations sources increase daily which drive to expand the spectrum frequency band that will arrived to 300 GHz with 5G and 6G which allow to connect several objects other than smartphones, tablets and computers. With the 5G or 6G the human body organs will also be connected through the radiation sensors attached to the body. According to the previous studies the evaluation of biological effects caused by the existing radiation sources is achieved according to the Specific Absorption Rate of human body to radiations waves, whereas it increase if the distance between the source of radiation and the human body is short, as well with the higher frequency bands and the emitted power sources. The objective of this paper is the interpolation of Specific Absorption Rate simulated values by Fuzzy system that allow to have an overview of the absorbed dose of human body exposed to the 5G Radiation’s in an enclosed area.
The effects of advertiser-web site congruity on the responses to advertising and the mediating role of emotions

This exploratory research aims to study how the effect of perceived congruence between advertising and the website, in the online context, affects the attitudes of Moroccan Internet users (consumers) and consequently their behavior towards advertisers and publishers. The goal, more specifically, is to identify the effect of congruence and incongruence between advertising and its context (support) on advertising responses in order to better understand which approach is most effective in our context. And also identify the factors that interact in this relationship. Through an experiment, we explored the field. The results are presented and commented on in this article.
AtMetExpress development: A phytochemical atlas of Arabidopsis thaliana development

Plants possess many metabolic genes for the production of a wide variety of phytochemicals in a tissue-specific manner. However, the metabolic systems behind the diversity and tissue-dependent regulation still remain unknown due to incomplete characterization of phytochemicals produced in a single plant species. Thus, having a metabolome dataset in addition to the genome and transcriptome information resources would enrich our knowledge of plant secondary metabolism. Here we analyzed phytochemical accumulation during development of the model plant Arabidopsis thaliana using liquid chromatography-mass spectrometry (LC-MS) in samples covering many growth stages and organs. We also obtained MS/MS spectral tags of many metabolites as a resource for elucidation of metabolite structure. These are part of the AtMetExpress metabolite accumulation atlas. Based on the dataset, we detected 1,589 metabolite signals from which the structures of 167 metabolites were elucidated. The integrated analyses with transcriptome data demonstrated that Arabidopsis produces various phytochemicals in a highly tissue-specific manner, which often accompanies the expression of key biosynthesis-related genes. We also found that a set of biosynthesis related genes is coordinately expressed among the tissues. These data suggested that the simple mode of regulation, transcript-to-metabolite, is an origin of the dynamics and diversity of plant secondary metabolism. omics datasets. In this study, to explore the structural diversity of secondary metabolites produced in one plant species, we analyzed the accumulation of known and unknown phytochemicals during development of the model plant Arabidopsis thaliana using derivatives, glucosinolates, and lignans. Although many other clusters were poorly annotated in the databases, the results still indicate that Arabidopsis has the capability to produce known and unknown metabolites with wide structural diversity.
Academic Advising Using Data Analytics and Adaptive Hypermedia System

— Educational Data mining is concerned with developing techniques to extract unique and meaningful information from large database. It is also used to identify patterns and to cluster them together with various association rules. The older versions made use of static assessment to generate generic student report, which proved to be inaccurate. In literature review we found that most of the current systems were dependent completely on historical data and ignored the caliber of the current students. So to overcome this limitation our software made use of three kinds of data viz. large historical data set, students current academic performance and periodic tests combined to produce a much better result.
Explanation of the importance of innovation and government support on profit of Food industry companies listed on the Tehran Stock Exchange

Development of food industry and paying more attention to the quality of the productions opens up also new possibilities for the issuance of additional products and all evidences suggest that with development of food industries, we can gain more Rial and foreign exchange revenue. Since profitability is an important indicator of performance evaluation of companies, therefore identifying factors that increase the profitability of companies is of great importance. In this study to assess factors affecting the profitability of companies that are active at food industry, we reviewed important factors such as innovation in companies, Service Supporting the supplier's Product (SSP), Service supporting the client's action in relation with the supplier's product (SSC), state economic and social support. During the study after identifying the dimensions of the issue some hypotheses were formulated and survey research and statistical methods were used to test the hypotheses. Quintet whole Likert questionnaire was setted out to collect the information and was given to the members of sample tio be completed. To determine the justifiability of research questionnaire content validity test was used according to opinions of experts and using SPSS software reliability of questionnaire was attained 0.825. The statistical population of this research was food industry companies listed in Tehran stock exchange and sampling method in this research has been as possible (random) simple and the sample size due to unlimited statistical population using the Cochrane formula for unlimited community was considered 196. The research hypotheses were tested through correlation and regression and for analyzing data and testing hypotheses, SPSS statistical software was used. The results indicated that all the factors in the study that were considered as influencing factors on profitability of companies on hypothesis, had significant effect on profitability of food industry companies.
Hard metal containing tungsten carbide and cobalt (inhalable fraction)

This documentation deals with hard metal dusts containing tungsten carbide and cobalt in an inhalable form, such as may occur in the production and use of hard metals. For the properties of the constituents of hard metal dusts, the reader is referred to the chapters “Cobalt and its compounds” and “Tungsten and its compounds” in the present volume. The following evaluation is limited to hard metals containing tungsten carbide and cobalt, since sufficient data from occupational medicine and toxicology are available only for hard metals of this chemical composition. The term “hard metal” is defined technically rather than chemically. Other metals such as nickel may be used for the production of hard metal instead of or in addition to cobalt. Hard metals are blends compressed and sintered from powder components and consisting mainly of tungsten carbide (75–95%), which provides their hardness, and other metals, in most cases cobalt and more rarely nickel, which are used as binders (5– 25%). Unlike alloys, sintered materials are polycrystalline structures that can be seen under the microscope after grinding. Chemical/technical information about hard metals can be found in Santhanam (1992). Hard metals are very poorly soluble in water and dilute acids, but they are soluble in mixtures of nitric acid with hydrochloric acid (aqua regia) or of nitric acid with hydrofluoric acid. Exposure to a mixture of tungsten carbide and cobalt powders occurs before sintering in the production of hard metals, whereas there may be exposure to the dust from the actual hard metal after sintering and during the mechanical processing of the sintered blanks. Cobalt powder generally is very finely ground metal with a maximum diameter of about 2 μm. There is also exposure to hard metal dusts in the processing of drilling and cutting tools, in the (re-)sharpening of hard metal tools, in the drilling and cutting with these tools and in diamond grinding (Cugell 1998).
Improving Grammatical Error Correction for Multiword Expressions

Grammatical error correction (GEC) is the task of automatically correcting errors in text. It has mainly been developed to assist language learning, but can also be applied to native text. This paper reports on preliminary work in improving GEC for multiword expression (MWE) error correction. We propose two systems which incorporate MWE information in two different ways: one is a multi-encoder decoder system which encodes MWE tags in a second encoder, and the other is a BART pre-trained transformer-based system that encodes MWE representations using special tokens. We show improvements in correcting specific types of verbal MWEs based on a modified version of a standard GEC evaluation approach.
Identifying Deadlock Situations in Mobile Ad Hoc Networks

Many challenges have been facing in Mobile Ad hoc networking due to frequent changes in the network topology and the lack of resources. Now a day’s a lots of research is going on to support QoS in the Internet and other networks, although they are not sufficient for mobile Ad hoc networks and still QoS support for such networks remains an open problem. In this paper, a new scheme has been proposed for achieving QoS in terms of packet delivery. The proposed method adopts the snapshot algorithm of distributed systems to store information and the same will be forwarded to destination using dynamic linking. The performance of the proposed method is assessed through its low processing overhead and loop freedom.
ESA Climate Change Initiative – Fire_cci D2.1.1 Algorithm Theoretical Basis Document: SAR-Optical

This Algorithm Theoretical Basis Document (ATBD), corresponding to the SAR-O algorithm, describes the algorithm, methods, and approaches that lead to the generation of a small fire dataset for three 400x400 km areas of interest (AOI) in Africa. Test sites for algorithm development and calibration have been selected based on representative vegetation types (i.e., grasslands, crops and forests) that burn on a regular basis. The theoretical basis described here identifies the data sets used to classify burned area and the methods used to derive the cartographic products. Burned area mapping products derived from Sentinel-1/2 imagery were created for the three AOIs for the year 2019. The resulting maps will be independently validated using BA perimeters derived from multispectral optical datasets (e.g., Sentinel-2, Landsat-8, PLANET).
Perceived Text Quality and Readability in Extractive and Abstractive Summaries

We present results from a study investigating how users perceive text quality and readability in extractive and abstractive summaries. We trained two summarisation models on Swedish news data and used these to produce summaries of articles. With the produced summaries, we conducted an online survey in which the extractive summaries were compared to the abstractive summaries in terms of fluency, adequacy and simplicity. We found statistically significant differences in perceived fluency and adequacy between abstractive and extractive summaries but no statistically significant difference in simplicity. Extractive summaries were preferred in most cases, possibly due to the types of errors the summaries tend to have.
PARAMETERIZATION OF 3D TRIANGLE MESHES WITH ARBITRARY GENUS 1

This paper describes a novel approach to the parameterization of triangle meshes representing 2-manifolds with an arbitrary genus. A topology-based decomposition of the shape is computed and used to segment the shape into primitives, which deﬁne a chart decomposition of the mesh. Then, each chart is parameterized using an extension of the barycentric coordinates method. The charts are all 0-genus and can be of three types only, depending on the number of boundary components. The chart decomposition and the parameterization are used to deﬁne a shape graph where each node represents one primitive and the arcs code the adjacency relationships between the primitives. Conical and cylindrical primitives are coded together with their skeletal lines that are computed from and aligned with their parameterization. The application of the parameterization approach to remeshing guarantees that extraordinary vertices are localized only where two patches share a boundary and they are not scattered on the whole surface.
PUBLIC HEALTH SURVEILLANCE SYSTEMS FOR DISEASE MONITORING, SITUATIONAL AWARENESS, AND DECISION MAKING SUPPORT BY

PUBLIC HEALTH SURVEILLANCE SYSTEMS FOR DISEASE MONITORING, SITUATIONAL AWARENESS, AND DECISION MAKING SUPPORT BY Dimitrios G. Koutsonanos Disease surveillance and population health monitoring represents one of the cornerstones of public health surveillance, early disease identification and prevention, and situational awareness. Constant monitoring for potential emerging public health threats is one of the most important missions of public health. Public health surveillance is the ongoing, systematic collection, analysis, interpretation, and dissemination of data regarding a health related event for use is public health actions to reduce morbidity and mortality and to improve health. Early detection of a new outbreak and rapid response to a public health threat could result in saving of millions of lives but also great financial savings from preventing hospitalizations, deaths and all the socio-economic effects associated with it. In order to provide early disease detection and situational awareness, different public health surveillance systems were developed that monitor population health and report different public health events and threats. These systems perform different functions and can be classified in three different categories: i) syndromic surveillance systems, ii) laboratory surveillance systems, iii) web-based public health surveillance systems. All of these systems have significant contributions in early disease detection and monitoring, situational awareness, and decision making support. In this study we provided an overview of major public health surveillance systems for syndromic surveillance including BioSense, ESSENCE, and ILINet, laboratory surveillance including NNDSS, FoodNet, and eHARS, and web-bases surveillance including HealthMap, ProMED-mail, and BioCaster. We provided a summary of the different functionalities each system offers and supports as well as limitations associated with each system. Finally, we identified challenges in public health surveillance systems and we proposed potential tools and surveillance models that could be used to improve data collection, analysis, and reporting and enhance the functionality of public health surveillance systems. PUBLIC HEALTH SURVEILLANCE SYSTEMS FOR DISEASE MONITORING, SITUATIONAL AWARENESS, AND DECISION MAKING SUPPORT BY Dimitrios G. Koutsonanos M.P.H. , Emory University, Atlanta, GA, USA, 2014 M.D., Medical School, University of Nis, Serbia, 2004 A Thesis submitted to the Faculty of the Rollins School of Public Health of Emory University in partial fulfillment of the requirements of the degree of Master of Public Health in the Executive MPH program 2014