Miracle-dz/UniFAR-FTUs huggingface dataset:
“UNDERSTAND SHORT TEXTS BY HARVESTING & ANALYZING SEMANTIC KNOWLEDGE”

: Seeing a short message is fundamental to various applications, anyway challenges multiply. In any case, short messages don't for the most part watch the language structure of a created tongue. In this way, customary normal lingo dealing with mechanical assemblies, reaching out from linguistic element naming to dependence parsing, can't be viably associated. Second, short messages when in doubt don't contain satisfactory accurate signs to help many best in class approaches for substance mining, for instance, subject illustrating. Third, short messages are progressively unverifiable and boisterous, and are delivered in a monstrous volume, which also extends the inconvenience to manage them. We fight that semantic data is required with an explicit true objective to all the more likely observe short messages. In this work, we collect a model structure for short substance understanding which mishandles semantic learning gave by a remarkable taking in base and thus procured from a web corpus. Our understanding raised methodologies irritate traditional strategies for endeavours, for instance, content division, linguistic element marking, and thought naming, as in we focus on semantics in all of these assignments. We coordinate an expansive execution appraisal on real data. The results show that semantic data is fundamental for short substance understanding, and our knowledge heightened approaches are both convincing and capable in discovering semantics of short messages.
SURFACE TREATMENT IN REUSED TYRES TO IMPROVE THE INTERFACIAL ADHESION IN POLYOLEFIN MATRIX COMPOSITES

Reused tyres whose surfaces were treated with various chemical acids, such as H2SO4, HNO3 and HClO4, were used as reinforcement in HDPE-reused tyre composites. Their mechanical properties (e.g. tensile strength, Young’s modulus, toughness and elongation at break) were studied to evaluate how surface treatments may improve compatibility between the two components. The effect of chemical modifications on the surface of reused tyres was monitored by FTIR, the determination of mechanical properties and SEM. The importance of rubber treatment can be assessed by comparing the results of treated and untreated composites and neat HDPE. Reused tyre rubber, added to the HDPE in small quantities, acts as a filler, improving the stiffness and providing a more brittle behaviour. Nevertheless, a rubber content above 10%, using either untreated rubber or rubber treated with HClO4, gives lower values of Young’s modulus than neat HDPE. Elongation and toughness values are also lower. Treatment with H2SO4 and HNO3 improves the ability of rubber to interact with the HDPE, increasing the material’s stiffness. The treatment with H2SO4 was the most effective, whereas HClO4 did not improve the material’s properties.
AN Enhanced Model for Diabetes Prediction using Improved Firefly Feature Selection and Hybrid Random Forest Algorithm

Diabetes is a chronic disease that causes numerous amount of death each year. Untreated diabetes disturbs the proper functionality of other organs in human body. Hence early detection is a significant process to have a healthy life style. Usually the performance of the classification is affected due to the existence of high dimensionality in medical data.In this study a system model is proposed on Pima dataset to enhance the classification accuracy by eliminating the irrelevant features. Therefore it is important to choose a suitable feature selection approach that provides the better accuracy in disease prediction compared to prior study.Hencenovel techniquesImprovedFirefly(IFF)and hybrid Random forest algorithmis proposed for feature selection and classification. The present study provides a better result with 96.3% accuracy.The efficiency of the present studyis compared with the prior classification approaches.
FIXED POINT THEOREMS FOR PARTIALLY OUTWARD MAPPINGS

We generalize some classical theorems related to dimension. We extend Brouwer’s fixed point theorem to a class of mappings whose images are not necessarily a subset of the domain. These results also generalize theorems of B.R. Halpern and G.M. Bergman. As applications, we prove some theorems for maps that pull absolute retracts outward into attached sphere collars. We note relationships to the relative Nielsen theory and show that certain of our applications can also be obtained using results of H. Schirmer. Let X and Y be topological spaces. By a map or mapping f : X → Y we mean a continuous function. We investigate fixed points for mappings f : X → Y , where f(X) need not be a subset of X . Clearly, if X and f(X) are disjoint, f will have no fixed points. So, our study will consider mappings where X ∩ f(X) 6= ∅ and f(X) − X 6= ∅. We refer to such mappings as partially outward mappings in the spirit of B. R. Halpern and G. M. Bergman, who defined inward and outward maps in [7]. Our methods are entirely topological, but we discuss connections to results obtained from the Lefschetz or Nielsen theories and we provide an alternative proof, which uses the relative Nielsen theory [20], of a corollary to our main theorem. In the process, we generalize (in the compact Hausdorff setting) theorems related to dimension of S. Eilenberg and E. Otto, of K. Morita, and of W. Holsztyński. We generalize (in Euclidean n-space and Hilbert square summable sequence space) the Brouwer fixed point theorem and theorems of Halpern and Bergman. Applications of our main result yield some fixed point theorems that, heretofore, have only been obtainable using algebraic invariants associated with the mapping or its homotopy class. In particular, we show that maps that pull absolute retracts outward into an attached Scollar have fixed points. The author acknowledges discussion of initial ideas for this paper in a seminar with Charles Hagopian, Janusz Prajs, Alejandro Illanes, and Verónica Mart́ınez-de-la-Vega. 2000 Mathematics Subject Classification. Primary 54H25; Secondary 54C55, 54F15, 54F45.
Structural Diversity and Biochemical and Microbiological Characteristics of Aflatoxins

Abstract Among all mycotoxins, Aflatoxin B1 (AFB1) is considered to be the most carcinogenic, and it has been classified by the International Agency for Research on Cancer in Group 1 of human carcinogen. It signifies a high hazard because it contaminates a diversity of agricultural products such as nuts and derivatives, peanuts/hazelnuts, grains, seeds, cottonseed, milk, dairy food. In milk AFB1 is metabolized to aflatoxin M (AFM1) which is 4-hydroxy derivative of AFB1, it is formed in the liver and excreted in the milk into the mammary glands of both human and lactating animals which have been fed with AFB1 contaminated diet. After the food contamination, one part of the aflatoxin B1 which was present in the food is eliminated through the milk. At the molecular level aflatoxin biosynthesis involves several levels of transcriptional and post-transcriptional control, so the main stages subsequent biochemical and genetic constituents of aflatoxin biosynthesis have been demonstrated recently. Recent studies over the last few decades have shown that the metabolism of AFB is an essential component of hepatocarcinogenic, however it was shown that AFB1 is metabolized by cytochrome P450 oxidised to intermediates and other metabolites Therefore, the biotransformation process may also lead to the formation of carcinogenic metabolites.
Education and employment of women in science, technology and the digital economy, including AI and its influence on gender equality

This study, commissioned by the European Parliament’s Policy Department for Citizens’ Rights and Constitutional Affairs at the request of the FEMM Committee, provides evidence that there is still gender bias and inequality in STEM (Science, Technology, Engineering, Mathematics) fields and the digital sector (e.g., digital technologies, Computer Science, Information Technology, Information and Communication Technology, Artificial Intelligence, cybersecurity). This document, prepared at the request of the FEMM Committee (Policy Department for Citizens’ Rights and Constitutional Affairs, Directorate-General for Internal Policies), is intended to provide an up-to-date literature review on the current status of women’s education and employment in STEM fields and the digital sector. In so doing, the corresponding trajectories are examined, from the primary education level up to the employment level, in an attempt to identify obstacles and bottlenecks that prevent gender parity. Finally, suggestions for future research, initiatives and policies that would improve women’s participation in these areas are made. Education and employment of women in science, technology and the digital economy, including AI and its influence on gender equality This document was requested by the European Parliament's Committee on Citizens' Rights and Constitutional Affairs. AUTHORS Prof. Dr. Zacharias C. Zacharia, Research in Science and Technology Education Group, Department of Educational Sciences, University of Cyprus Dr. Tasos Hovardas, Research in Science and Technology Education Group, University of Cyprus Dr. Nikoletta Xenofontos, Research in Science and Technology Education Group, University of Cyprus Ms Ivoni Pavlou, Research in Science and Technology Education Group, University of Cyprus Ms Maria Irakleous, Research in Science and Technology Education Group, University of Cyprus ADMINISTRATOR RESPONSIBLE
ONLINE PRESENCE OF MEŠA SELIMOVI Ć 'S LITERARY HERITAGE: DIGITAL HERITAGE REPOSITORY IN THE FUNCTION OF LITERARY AND CULTURAL STUDIES

Potentials of scientific research in general are obviously subject to changes in accordance with current digital information and communication environment, which is capable to give new, advanced performances, or those essentially different from the traditional ones, even in the domain of humanities, including literary studies as well. In this connection, developing a digital heritage repository, as a way of organizing and composing objects of heritage in selected thematic entities, is demanding, but also inspiring possibility in the case of literary heritage as well. The aim of the proposed paper is to examine potentials and advantages of developing a digital repository of Meša Selimovi ć ’s literary work. The focused problem is going to be approached in a holistic manner, which means in terms of its practical and cultural values, but also in terms of its feasibility. The authors of the proposed paper are taking interdisciplinary methodological sides, which is caused by the authors’ different academic education and positions within the academic community (library and information sciences, literary history and literary and cultural theory, as well as electrical engineering).
Location Estimation of a GSM Mobile based on Received Signal Strength

An optimization method that provides quick response using artificial immune system is proposed and is applied to a mobile robot for trajectory tracking in this paper. The study focuses on the immune theory to derive a quick optimization method that puts emphasis on immunity feedback using memory cells by the expansion and suppression of the test group rather than to derive a specific mathematical model of the artificial immune system. Various trajectories were selected to evaluate the performance of the proposed artificial immune system. The global inputs to the mobile robot are reference position and reference velocity, which are time variables. The global output of mobile robot is a current position. The tracking controller makes position error to be converged to zero. In order to reduce position error, compensation velocities on the track of trajectory are necessary. Input variables of fuzzy are position errors in every sampling time. The output values of fuzzy are compensation velocities. Immune algorithm is implemented to adjust the scaling factor of fuzzy automatically. The results of the computer simulation proved the system to be efficient and effective for tracing the trajectory to the final destination by the mobile robot.
Interference of Palmer amaranth in corn

Abstract Palmer amaranth (Amaranthus palmeri) is a major weed in corn (Zea mays) fields in the southern Great Plains of the United States. Field studies were conducted in 1996, 1997, and 1998 near Garden City, KS, to evaluate the effects of Palmer amaranth density and time of emergence on grain yield of irrigated corn and on seed production of Palmer amaranth. Palmer amaranth was established at densities of 0.5, 1, 2, 4, and 8 plants m−1 of corn row both concurrently at corn planting and when corn was at the three- to six-leaf stage. The control plots were weed free. The Palmer amaranth planted with corn emerged with corn, whereas that planted later emerged at the four-, six-, and seven-leaf stages of corn. The Palmer amaranth emerging with corn reduced yield from 11 to 91% as density increased from 0.5 to 8 plants m−1 of row. In contrast, yield loss from Palmer amaranth emerging later than corn was observed only when the emergence occurred at the four- and six-leaf stages. The corn leaf area index (LAI) decreased as Palmer amaranth density increased. Reduction in corn LAI from Palmer amaranth interference was smaller for the second emergence date than for the first emergence date. Seed production per Palmer amaranth plant decreased with greater density, but seed per unit area increased from 140,000 to 514,000 seeds m−2 at densities of 0.5 and 8 plants m−1 of row, respectively, when Palmer amaranth emerged with corn and from 1,800 to 91,000 seeds m−2 at the same densities for later emergence dates. Although Palmer amaranth is highly competitive in corn, this study shows that yield loss is affected more by time of emergence than by density. Nomenclature: Corn, Zea mays L. ‘DK 592SR’; Palmer amaranth, Amaranthus palmeri S. Wats. AMAPA.
Comparison of humor style preferences between successfully recovering individuals and newcomers participating in 12-step recovery programs

Background: Humor has long been associated with potential benefits on physical and psychological health and well-being [1]. Identified and developed a tool to measure various functions, forms or styles of humor with either beneficial, adaptive expression or in detrimental, maladaptive operations. The purpose of this study was to explore these humor styles in a population of recovering individuals with substance use disorder attending 12-step recovery programs. Humor style preferences were compared between newer members (less than one year abstinence) versus established, successful members (more than five years abstinence). Methods: Demographics, including age and gender, number of months of complete abstinence and level of 12step participation including having a sponsor or not, and weekly meeting attendance. The Humor Styles Questionnaire (HSQ) was self-administered, measuring affiliative, self-enhancing, aggressive and self-defeating humor style scores. Hypothesis 1: that adaptive humor expression (affiliative, self-enhancing styles) would be higher in the successfully recovering group. Hypothesis 2: that maladaptive humor expression (aggressive, self-defeating styles) would be higher in the newcomer group. Results: Self-defeating humor style was significantly higher in the newcomer group (p<.05). There was no difference between groups of successfully recovering individuals and newcomers with affiliative, self-enhancing and aggressive styles of humor. Conclusions: Self-defeating humor, considered a maladaptive, negative style is a preferred style of humor early in the recovery. Contributing factors of the self-defeating preference in this group is more recent substance use and the negative consequences of behaviors related to its use. Successful, long term recovery with 12-step program involvement leads to a significant reduction in preference of self-defeating humor. The difference in humor styles may be reflective of improvement in self-esteem in those with long term abstinence. ISSN: 2637-4528
Critical factors influencing the engineer’s selection of the country to work abroad

The decision to work abroad is influenced from a great number of factors, including cultural, social and psychological ones, which are also critical for a successful adjustment to the host country. The decision should be the outcome of a very delicate decision-making process, which, however, is currently not available as both literature and practice clearly indicate. This paper attempts to identify and analyze those factors with an impact on the selection of the country to work abroad in the case of engineers. An extensive literature review revealed all the factors related to the expatriation and relocation issues of an expatriate focusing rather on the socio-cultural and personal dimensions, than those of the working environment and job satisfaction, which are related to the job’s description. Based on the findings of the literature review an international questionnaire survey for engineers was prepared and conducted aiming at: a) evaluating these factors, in terms of importance for the potential expatriate and b) deciding on their use in a formal methodology for the selection of a country to work abroad. The collected data were statistically analyzed and the correlations between the factors were investigated to identify those among them that are critical to include in a formal country selection process. A major finding of this research is that the field’s literature highlights a different set of critical factors compared to those indicated by the questionnaire survey. Furthermore, a second important finding is that the critical factors present very loose correlations, which indicates that any model aiming at supporting the decision-making process for selecting the country to work abroad should introduce them very carefully. The two findings lead to the conclusion that a proper selection of the factors to incorporate into a country selection method process is required.
Identification of hybrids of intra and interspecific crosses in Annonaceae by RAPD markers.

The purpose of this work was to identify hybrids in intraspecific crosses between sugar apple accessions and interspecific crosses between sugar apple and atemoya accessions by using RAPD markers. Four sugar apple accessions were selected: Seedless P1, P2, P3 and P4 and the atemoya cultivar Gefner (G1). In the pre-female phase the flowers were adequately protected and reciprocal crosses were performed. In crosses where the sugar apple accession Seedless P1 was used as the male parent, the fruits contained seeds, indicating that the pollen grains of Seedless P1 are viable. The fruits of reciprocal crosses where Seedless P1 was used as a female parent contained no seeds. The percentage of true hybrids in the crosses P4 x Seedless P1, P3 x Seedless P1, P2 x Seedless P1, and G1 x Seedless P1 were, respectively, 100%, 95.55%, 82.86%, and 44.44%. Primer OPF10 was efficient in obtaining polymorphic bands in all Annonaceae hybrid populations.
Gradient Based Reinforcement Learning for Autonomous Underwater Cable Tracking

This paper proposes a ﬁeld application of a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot in a cable tracking task. The learning system is characterized by using a policy gradient based search method for learning the internal state/action mapping. The function approximator used to represent the policy is a barycentric interpolator. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment using the hydrodynamic model of the vehicle and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU Autonomous Underwater Vehicle (AUV).
Dendrochronological reconstruction of the epicentre and early spread of emerald ash borer in North America

Emerald ash borer Agrilus planipennis was identified in 2002 as the cause of extensive ash (Fraxinus spp.) decline and mortality in Detroit, Michigan, and has since killed millions of ash trees in the US and Canada. When discovered, it was not clear how long it had been present or at what location the invading colony started. We used dendrochronological methods to document the onset and progression of ash mortality and the spatio‐temporal dynamics of the invasion. Reconstructing the progression of ash mortality serves as a proxy to draw inferences about the colonization and spread of emerald ash borer in North America.
Modeling The Framework for Evaluating the Non-Functional Requirements Affecting Application Efficacy in Cloud Computing Domain

Predicting application performance concerning the parameters such as processor, network, memory, and disk needs to be analyzed and the model is to be built up for various nonfunctional requirements in cloud computing. The NFR include availability, portability, security, reliability, etc. Cloud computing provides a way for provisioning of resources in one of the three ways. The first could be cloud infrastructure, the second could be provider infrastructure or the third could be a combination of both. Specifying NFR and ascertaining the required resources requires a lot of knowledge and therefore the various models are built up in this context. To exploit the cloud computing domain software engineer's needs to quantify various requirements of the application and based on that framework needs to be designed and developed for controlling cloud services at the multiple levels of abstraction. In this paper, we will analyze models evaluating various NFR affecting the efficacy of application in a cloud computing domain. The model could be both working for static as well as dynamic implementation.
CHEMICAL FRACTIONATION OF HEAVY METALS IN SOILS NEAR METAL DUMPSITES IN ZARIA, NIGERIA

This research was carried out to determine the chemical form of metals and to evaluate their mobility and bioavailability in soils near metal dumpsites in Zaria, Nigeria. Sequential extraction was used to fractionate Cd, Cu, Ni, Zn, Co and Pb from soil collected from three selected metal dumpsites into six operationally defined groups: water soluble, exchangeable, carbonate, Fe -Mn oxide, organic, and residual. The results indicated that the concentrations of the studied metals in the soils from experimental sites were higher than the corresponding values from the control site, and higher than the recommended limits given by FAO/WHO. The bioavailability of the metals at the three different study areas was in the order: Dambo:40% Cd, 39% Co, 91% Cu, 66% Ni, 42% Pb and 73% Zn. ; Agoro:39% Cd, 48% Co, 74% Cu, 59% Ni, 41% Pb and 60% Zn and Yankarfe:Cu > Ni > Zn > Pb > Cd >Co. The result of this study indicated that the bioavailabilities of the studied metals at the test sites were higher than those at the control site except that of Co. Heavy metals in the soil from anthropogenic sources tend to be more mobile, hence bioavailable than pedogenic or lithogenic ones.
Aggregation Gain Or Loss? Modelling the Effects of Group Variables with Binary Responses

Interest in grouped or aggregated data in epidemiology has grown over the last decade because of increasing emphasis on data confidentiality and also because not all disease determinants can be applied at an individual-level. Often researchers must choose between using the publicly available aggregated data or gathering individual data without prior knowledge of a gain in efficiency (Lang and Gottschalk, 1996).