Miracle-dz/UniFAR-FTUs huggingface dataset:
A SURVEY ON RADIO SPECTRUM UTILIZATION IN COGNITIVE RADIO NETWORKS

Cognitive radio is an emerging technology in OFDM based wireless systems which are very important for spectrum sensing. Efficient spectrum allocation technique becomes new research problem in use of CRN. A major challenge to this new technology is how to make fair assignment of available spectrum to unlicensed users. The appropriate allocation of idle frequency spectrum coexisting cognitive radios while maximizing total bandwidth utilization and minimizing interference is required for the efficient spectrum utilization in CRN. The method of fixed spectrum allocation resulted to less spectrum utilization over the entire spectrum. For cognitive radio systems, Orthogonal Frequency Division Multiplexing (OFDM) widely used data transmission method which delivering the flexibility for allocating the resources under the dynamic conditions. Therefore, OFDM based CRN networks having major challenge of resource allocation. There are different situations and parameters in dynamic environment which are impacting on total system data rate performance. In this paper, we are presenting the survey on cognitive radio networks, spectrum sensing, challenges and different recent methods analysis for resource allocation, The second part is to compare the various spectrum sensing techniques in cognitive radio engine.
Performance Testing of Foldable Electric Powered Wheelchair

This paper aims to design and test a foldable, lightweight wheelchair propelled by a pair of electric motors. Starting from literature review, the research team carried out the design and solid modeling of proposed wheelchair. Solidworks software was used to make the computer model. The wheelchair frame comprised of a chair like frame with two pairs of wheels on front and back. The defined electric wheelchair is completed with the coordination of manual and electric system. A pair of electric motor is fitted on wheels at backside which are controlled by the electronic controller powered by the battery. The folding mechanism developed on the wheelchair was aimed for ease of transport and storage. The frame material was selected to be aluminum alloy. Lithium ion battery and geared electric motors were used in the prototype and motion control was done by joystick. Locking mechanism was used for frame locking during operation. The prototype was subjected to different tests. The unfolded dimensions of wheelchair were 850mm×620mm×1400mm (0.738m3) and whereas the folded dimensions were 1100mm×620mm×520mm (0.354m3) that resulted 52.03% reduction in volume. The mass of wheelchair was measured to be 22kg. The tested data of wheelchair was found to be 10 km approximately.
Acceleration of ultra-high-energy cosmic rays by local supermassive black hole candidates

The origin and acceleration mechanism of ultra-high-energy cosmic rays (UHECR) with energy exceeding the GZK-cutoff limit remain unknown. It is often speculated that supermassive black holes (SMBHs) located at the centers of many galaxies can serve as possible sources of UHECR. This is also supported by recent observations of high-energy neutrinos from blazar, as neutrinos are the tracers of UHECR. In this contribution, we explore the capabilities of nearby SMBHs (located within 100Mpc distance) to accelerate UHECR of certain energy and composition by the novel, ultra-efficient regime of the magnetic Penrose process, in which protons and ions are energized near SMBH by the ionization or decay of low-energy neutral particles, such as e.g. a hydrogen ionization or neutron beta-decay. Extreme conditions around SMBHs increase chances for engagement of the accelerated UHECR in the production of the cosmic ray ensembles (CRE), i.e. a group of correlated two or more cosmic ray particles, including photons with the same parent particle or a common primary interaction vertex. We discuss the unique signatures of UHECR and CRE produced around SMBHs and potentially observable with a global network of detectors, as proposed by the Cosmic-Ray Extremely Distributed Observatory – CREDO.
Detection and Visualization of an Exopolysaccharide Produced by <italic toggle='yes'>Xylella fastidiosa</italic> In Vitro and In Planta

Many phytopathogenic bacteria, such as Ralstonia solanacearum, Pantoea stewartii, and Xanthomonas campestris, produce exopolysaccharides (EPSs) that aid in virulence, colonization, and survival. EPS can also contribute to host xylem vessel blockage. The genome of Xylella fastidiosa, the causal agent of Pierce’s disease (PD) of grapevine, contains an operon that is strikingly similar to the X. campestris gum operon, which is responsible for the production of xanthan gum. Based on this information, it has been hypothesized that X. fastidiosa is capable of producing an EPS similar in structure and composition to xanthan gum but lacking the terminal mannose residue. In this study, we raised polyclonal antibodies against a modified xanthan gum polymer similar to the predicted X. fastidiosa EPS polymer. We used enzyme-linked immunosorbent assay to quantify production of EPS from X. fastidiosa cells grown in vitro and immunolocalization microscopy to examine the distribution of X. fastidiosa EPS in biofilms formed in vitro and in planta and assessed the contribution of X. fastidiosa EPS to the vascular occlusions seen in PD-infected grapevines.
Tashi-Bot: A Intelligent Personal Assistant for Users in an Educational Institution

The number of AI applications in education is growing every day. One recent AI application in the educational sector is Chatbot technology, which is used to support teaching and administrative tasks. This document presents the design and implementation of a Chatbot called Tashi-Bot that helps applicants and university students to obtain information from an educational institution about certain academic and administrative processes. Among these are processes related to well-being, tuition, costs, admission, and other services. In order to design the Chatbot, an analysis of the state of the art, methodologies, and suitable tools was carried out, and a survey was conducted to discover the needs of users and their preferences in the use of a Chatbot for this specific purpose. Tashi-Bot was implemented on the SnatchBot platform and later deployed on a Telegram channel. In its evaluation, a final survey was carried out to check on the satisfaction of the users. The results suggest that Tashi-Bot could help applicants and university students to find information on academic and administrative processes with great certainty and without the need for human interaction. Tashi-Bot can be found at: https://web.telegram. org/#/im? p=@TashiE_Bot.
VIMSS Computational Core: Comparative Analysis of Regulatory Systems in Environmental Microbes

Background. The VIMSS Computational Core group is tasked with data management, statistical data analysis, modeling, and comparative and evolutionary genomics for the larger VIMSS effort. We have matured many of our analyses and VIMSS data into our flagship comparative functional microbial genomics tool MicrobesOnline (http://microbesonline.org). We have used this framework to interpret the data from the VIMSS physiological pipeline and in more global analysis of genome evolution and function. Data Analysis. During the course of analysis of the various stress responses of DvH the computational core has developed a number of new statistical analyses of data that take advantage of the predicted regulatory structures (operons, regulons, etc.) from our comparative analyses. We have used these analyses this year to uncover unique responses to salt and heat shock, to exposure to heavy metals, and to elucidate how reducing power is moved among different pathways under nitrogen oxide stress. Both the new methods and the individual analyses have been published recently. We will report on the key finding of these studies. Data Management.
Efficient Estimation of Nepali Word Representations in Vector Space

Word representation is a means of representing a word as mathematical entities that can be read, reasoned and manipulated by computational models. The representation is required for input to any new modern data models and in many cases, the accuracy of a model depends on it. In this paper, we analyze various methods of calculating vector space for Nepali words and postulate a word to vector model based on the Skip-gram model with NCE loss capturing syntactic and semantic word relationships. This is an attempt to implement a paper by Mikolov on Nepali words.
New Lindley Half Cauchy Distribution: Theory and Applications

1 Published By: Blue Eyes Intelligence Engineering and Sciences Publication Retrieval Number: 100.1/ijrte.D4734119420 DOI:10.35940/ijrte.D4734. 119420 Abstract: In this paper, we have defined a new two-parameter new Lindley half Cauchy (NLHC) distribution using Lindley-G family of distribution which accommodates increasing, decreasing and a variety of monotone failure rates. The statistical properties of the proposed distribution such as probability density function, cumulative distribution function, quantile, the measure of skewness and kurtosis are presented. We have briefly described the three well-known estimation methods namely maximum likelihood estimators (MLE), least-square (LSE) and Cramer-Von-Mises (CVM) methods. All the computations are performed in R software. By using the maximum likelihood method, we have constructed the asymptotic confidence interval for the model parameters. We verify empirically the potentiality of the new distribution in modeling a real data set.
Solar magnetic polarity effect on neutron monitor count rates from latitude surveys versus Antarctic stations

Department of Physics and Materials Science, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand Department of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Polar Research Institute of China, Pudong, Shanghai 200136, China National Astronomical Research Institute of Thailand (NARIT), Chiang Mai 50180, Thailand 5 School of Natural Sciences, University of Tasmania, Hobart, Tasmania 7001, Australia Department of Earth Science Education, Chonnam National University, Gwangju 61186, South Korea E-mail: kledsai_p@cmu.ac. th, waraporn.n@cmu.ac. th,
The Impact of the Crisis-inducted Reduction in Air Pollution on Infant Mortality in India: A Policy Perspective

Credible estimates of the health effects associated with changes in air pollution exposure are of considerable importance for research and policy agendas, especially for developing countries. This paper estimates the impact of the sharp reduction in particulate air pollution driven by the Global Financial Crisis of 2008 on district-level infant mortality in India. Utilizing plausibly exogenous geographic variation in the crisis-induced changes in air quality and novel data from household surveys and satellite-based sources, I find that the infant mortality rate fell by 24% more in the most affected districts, implying 1338 fewer infant deaths than would have occurred in the absence of the crisis. Analysis of the mechanisms indicates that the PM2.5 reductions affected infant mortality mainly through respiratory diseases and two biological mechanisms: in utero and post-birth PM2.5 exposure. Back-of-the-envelope calculations suggest that the estimated decline in infant mortality translates into a three-year after crisis total of 312.5 million U.S. dollars. The resulting health benefits could be used as a benchmark for assessing the effectiveness of the policies designed to improve air quality in India.
THE CONVENTIONS OF EXPOSITORY WRITING

A number of composition researchers in the past few years have come to the conclusion that students cannot think. Not the day-to-day thinking of ordinary life-it is admitted our students can get along there. But the abstract formulations and analytic conceptualization required for academic discourse are said to be beyond them. As the basis for such assumptions, composition researchers have turned to the cognitive theories of Piaget and Vygotsky, both of whom developed schemes to describe the growth of concept formation in young children. According to these schemes, children move from sensory-motor operations to concrete operations to higher and higher levels of abstracting and synthesizing, until, at the age of puberty (ages 11 to 13), they reach the stage when they can carry out sophisticated problem-solving operations. The problem, as some see it, is that our students have never attained the abilities that Piaget and Vygotsky predict will be achieved by early adolescence. Thus, Annette Bradford questions why "a large number of college freshmen have not acquired an ability which theorists link with ages eleven through thirteen" (19). Andrea Lunsford asserts that basic writers "have not attained that level of cognitive development which would allow them to form abstractions or conceptions" (38). Elaine 0. Lees finds in
Simulation-Based Optimization for Convex Functions Over Discrete Sets

We propose a new iterative algorithm for finding a minimum point of f_*:X \subset \mathbb{R}^d \rightarrow \mathbb{R}, when f_* is known to be convex, but only noisy observations of f_*(\textbf{x}) are available at \textbf{x} \in X for a finite set X. At each iteration of the proposed algorithm, we estimate the probability of each point \textbf{x} \in X being a minimum point of f_* using the fact that f_* is convex, and sample r points from X according to these probabilities. We then make observations at the sampled points and use these observations to update the probability of each point \textbf{x} \in X being a minimum point of f_*. Therefore, the proposed algorithm not only estimates the minimum point of f_* but also provides the probability of each point in X being a minimum point of f_*. Numerical results indicate the proposed algorithm converges to a minimum point of f_* as the number of iterations increases and shows fast convergence, especially in the early stage of the iterations.
Diabetic Neuropathic Pain has Endogenous Modulation Depending on the Intensity of Physical Exercise: A Brief Communication

The opioidergic systems play a key role in endogenous modulation of neuropathic pain, given that Naloxone, a nonselective opioid receptors antagonist at a dose of 100 µg, reverted the antihyperalgesia caused by physical exercise demonstrated in our previous study. Due to the lack of relates regarding the control variables of physical exercise and endogenous modulation in neuropathic diabetic pain, we investigated if such modulation is exercise intensity dependent.
The effect of functional football trainings on body composition and some physiological characteristics of female football players

The aim of this study is to evaluate the body composition, physical and physiological parameters of the functional (cross fit, HIIT) exercises applied at the beginning of the preparatory season and at the end of the preparatory season, and to determine the physical and physiological parameters that occur in female footballers during the preparatory season. The average age of the study was 22.25 ± 3.8 years, average height; 166.36 ± 8.14 cm and a weight average 2018-2019 season in Turkey with 54.44 ± 3.24 kg Football Federation Women 1st league's elite players and 20 female volunteers participated in the play. Statistical analysis of the data obtained as a result of the measurements was made using the SPSS 25.00 for Windows package program. Arithmetic means, standard deviations, and differences between the averages of the data obtained after the measurements were found. In order to compare the data obtained after the measurements of the subjects participating in the study with each other and to determine the significance levels of the differences between the averages, they were analyzed at the level of 0.05 significance using “Paired Samples T Test”. As a result, in the light of the data obtained, it was determined that there were statistically significant differences in many parameters that were generally measured, except BMI values. It is believed that functional training, which is one of the determinants of performance, is due to the effect of female footballers on body composition and some physical parameters, and it is important to pay attention to functional training in regularly planned and created training contents.
Approximation algorithm for submodular maximization under submodular cover

We study a new optimization problem called sub-modular maximization under submodular cover (SMSC), which requires to ﬁnd a ﬁxed-size set such that one monotone submodular function f is maximized subject to that another monotone sub-modular function g is maximized approximately. SMSC is preferable to submodular function maximization when one wants to maximize two ob-jective functions simultaneously. We propose an optimization framework for SMSC, which guarantees a constant-factor approximation. Our algorithm’s key idea is to construct a new instance of submodular function maximization from a given instance of SMSC, which can be approximated efﬁciently. Besides, if we are given an approximation oracle for submodular function maximization, our algorithm provably produces nearly optimal solutions. We experimentally evaluate the proposed algorithm in terms of sensor placement and movie recommendation using real-world data.
Hematological and muscle damage values in amateur players during football season

Aim: Acute intensive physical exercise induce the hematological changes in circulation. However, the effect of football training on hematological and biochemical parameters during the football season is still limited. The present study aimed to investigate the effects of routine football training on physiological parametrs namely: hematological, biochemical and iron levels during the pre and competitive match season. Materials and Methods: Amateur football players (n=15) participated in this study. The blood samples were collected and physical performance parameters assesses twice during pre and end of the first league between August and December. The players also performed Cooper run test, 30 m sprint tests. In addition, the hematological and biochemical parameters were analyzed by taking blood samples during pre and end of the first league. Results: Football training resulted in significant decreased erythrocyte (RBC) concentration (p<0.001), hemoglobin level (Hb) (p<0.01), mean corpuscular hemoglobin concentration (MCHC) (p<0.01), lymphocyte (Lymph), (p<0.05) unlike the level of neutrophil (Neut), (p<0.001), mean corpuscular volume (MCV) (p<0.05), mean platelet volume MPV (p<0.001) values were increased at the end of the league. The biochemistry parameters of the lactate dehydrogenase (LDH) (p<0.001) and urea (p<0.01) concentrations were increased whearas the level of alanine aminotransferase (ALT), (p<0.05) was decreased at end of the season. The creatine kinase (CK) and paraoxonase (PON1) activity was unaltered during the football training season. The level of the unsaturated iron binding capacity (UIBC) increased (p<0.05) and iron (Fe) level decreased end of the season (p<0.001). The level of the Leukocyte (WBC), serum ferritin were unaltered during the pre and at the end of the season (p>0.05). Moreover, football training had no effect on physical performance tests results (p>0.05). Conclusion: Football season mostly had effects on hematological and iron parameters with LDH, urea; this may be related the football training intensity.
Atmospheric regional climate projections for the Baltic Sea Region until 2100

Abstract. The Baltic Sea Region is very sensitive to climate change; it is a region with spatially varying climate and diverse ecosystems, but also under pressure due to high population in large parts of the area. Climate change impacts could easily exacerbate other anthropogenic stressors such as biodiversity stress from society and eutrophication of the Baltic Sea considerably. Therefore, there has been a focus on estimations of future climate change and its impacts in recent research. In this review paper, we will concentrate on a presentation of recent climate projections from both atmosphere-only and coupled atmosphere-ocean regional climate models. The recent regional climate model projections strengthen the picture from previous assessments. This includes a strong warming, in particular in the north in winter. Precipitation is projected to increase in the whole region apart from the southern half during summer. Consequently, the new results lend more credibility to estimates of uncertainties and robust features of future climate change. Furthermore, the larger number of scenarios gives opportunities to better address impacts of mitigation measures. The coupled atmosphere-ocean model locally modifies the climate change signal relative to that in the stand-alone atmosphere regional climate model. Differences are largest in areas where the coupled system arrives at different sea-surface temperatures and sea-ice conditions.
Rural Space Classification and Value Evaluation Under the Perspective of Rural Revitalization Strategy

Based on the judgment of the current major social contradictions, the stage of urbanization development and the law of development of urban-rural relationship, China proposed the rural revitalization strategy in the face of the reality of rural development. As an important carrier of economic, social, cultural and ecological factors, rural space needs to be studied in the context of this strategy, so as to provide a scientific basis for subsequent village planning and directional guidance for village development. With this objective, this study defines the spatial connotation of "Production-LivingEcology" space in rural areas based on the current land use classification, then correlate the type of space with the "Production-Life-Ecology" function. The selection of spatial function evaluation indexes is based on the value of ecosystem functions, and the direct measurement method of biophysical processes in the direct assessment method is used, and the indirect assessment method of value volume conversion method is used to assist in the comparison and combination of measurement. Finally, Wuhan rural area is selected as the empirical object to verify the idea of spatial function value evaluation, and GIS spatial technology is used to express the presentation and visualize the spatial characteristics of Wuhan rural area.
THE EFFECT OF ATTITUDES, ORGANIZATIONAL COMMITMENTS, SEVERITY OF CHEATING LEVELS, PERSONAL COST OF REPORTING AND JOB COMMITMENT TO WHISTLEBLOWING INTENTIONS

Histori Artikel : Tgl. Masuk : 28-01-2020 Tgl. Diterima : 24-03-2020 Tersedia Online : 22-04-2020 Fraud is an act of fraud with a mechanism of action that is planned and carried out individually, in groups or in collaboration with other parties. The auditor profession is responsible for fraud detection. Increased emphasis on the grading system is needed in connection with detection. This research was conducted at the Inspectorate General of the Ministry of Finance by conducting a survey of 82 auditors. The data analysis technique used is multiple linear regression analysis that is processed using the Smart-PLS tool. Hypothesis testing results show that experience, education, and professional skepticism have a positive effect on auditor perceptions in detecting fraud. Test results and statistical data analysis concluded that the auditor's experience showed a positive effect on the auditor's perception in detecting fraud even though it was not significant, the auditor's education variable showed a positive and significant effect on the auditor's perception in detecting fraud, and the professional skeptic variable had a positive effect on the auditor's perception in detecting cheating and its influence is significant.