Miracle-dz/UniFAR-FTUs huggingface dataset:
Influencia de las especies del dosel en la disponibilidad de recursos y regeneración avanzada en un bosque templado lluvioso del sur de Chile

La heterogeneidad de habitat en el sotobosque es un factor que promueve el mantenimiento de la diversidad de especies de la comunidad forestal. En este estudio se evaluo la influencia de cuatro especies dominantes de un bosque templado del sur de Chile, Laureliopsis philippiana, Aextoxicon punctatum, Eucryphia cordifolia y Nothofagus dombeyi, sobre la disponibilidad de recursos y su relacion con la composicion de la regeneracion avanzada. Se estimo el porcentaje de luz difusa, la disponibilidad de nitrogeno, fosforo y calcio, el contenido de nitrogeno, fosforo y calcio de la hojarasca, y se determino la composicion de la regeneracion avanzada bajo los doseles de cada una de las cuatro especies. Ademas, se realizo una ordenacion para evaluar la variacion de la composicion de la regeneracion avanzada. Se encontraron diferencias significativas en la transmision de luz bajo cada especie, asi como en el contenido nutricional de la hojarasca y disponibilidad de los nutrientes N-NO3 y P. Los tres nutrientes evaluados presentaron escasa disponibilidad en el suelo, debido a baja mineralizacion y alta inmovilizacion. De acuerdo a la ordenacion, la composicion de la regeneracion avanzada bajo N. dombeyi y L. philippiana, fue distinguible de la composicion de la regeneracion bajo E. cordifolia y A. punctatum. La luz fue el recurso que explico la mayor parte de la variacion en la composicion de la regeneracion avanzada en el sotobosque. En cambio, la variacion en la disponibilidad de nutrientes no tuvo relacion con la especie en el dosel. Postulamos que las especies que regeneran bajo este dosel difieren mas en sus requerimientos luminicos que nutricionales, siendo la luz el recurso mas limitante en el sotobosque
Task scheduling Algorithms in Multi cloud Environment

One of the most commonly used technology with massive demands in the field of distributed computing is cloud computing. Cloud computing has evolved in various forms like single cloud, hybrid cloud and multi-cloud. The evolution of cloud to handle hundred and thousands of user demands, at a time, thereby facilitating resource sharing, reduction in loss of information, elimination of data storage on server side and many many more the topic of task scheduling will be prominent in all forms of cloud computing and in distributed architecture. Here, we discuss the multiple cloud architecture and the scheduling techniques applied to evenly distribute the workload across multiple clouds. Algorithms like Cloud list Scheduling (CLS), Cloud min min scheduling (CMMS), Minimum completion cloud (MCC), Median max algorithm (MEMAX), Multiobjective scheduling (MOS) are some methods suggested in the past for finding a near to optimal solution for task allocation.
Joint Channel Allocation and Power Control Based on Long Short-Term Memory Deep Q Network in Cognitive Radio Networks

Efficient spectrum resource management in cognitive radio networks (CRNs) is a promising method that improves the utilization of spectrum resource. In particular, the power control and channel allocation are of top priorities in spectrum resource management. Nevertheless, the joint design of power control and channel allocation is an NP-hard problem and the research is still in the preliminary stage. In this paper, we propose a novel joint approach based on long short-term memory deep Q network (LSTM-DQN). Our objective is to obtain the channel allocation schemes of the access points (APs) and the power control strategies of the secondary users (SUs). Specifically, the received signal strength information (RSSI) collected by the microbase stations is used as the input of LSTM-DQN. In this way, the collection of RSSI can be shared between users. After the training is completed, the APs are capable of selecting channels with small interference while the SUs may access the authorized channels in an underlay operation mode without knowing any knowledge about the primary users (PUs). Experimental results show that the channels are allocated to the APs with a lower probability of collision. Moreover, the SUs can adjust their power control strategies quickly to avoid the harmful interference to the PUs when the environment parameters change randomly. Consequently, the overall performance of CRNs and the utilization of spectrum resources are improved significantly compared to existing popular solutions.
Early-Years Prospective Teachers' Definitions, Examples and Non-examples of Cylinder and Prism

This study investigates early-years prospective teachers' definitions, examples, and non-examples of cylinder and prism. The data were collected from 72 early-years prospective teachers via written tasks and classroom discussions. In written tasks, they were requested to define and then to give different examples and non-examples of cylinder and prism. The results indicated that prospective teachers defined cylinder based on prototypical cylinder with circle bases without mentioning all critical attributes of cylinder. They mostly provided correct examples and non-examples for cylinder. They did not pay attention critical and non-critical attributes of prism. Some prospective teachers drew cone and pyramids as the examples of prism. Their daily-life examples had similarity with the examples presented in textbooks and other curriculum materials. This study revealed that there is relationship between prospective teachers' definitions, daily-life examples, drawings, and non-examples. Possible reasons for these results are discussed and elaborated.
A Single-Phase Rectifier Using Zeta Converter in Discontinuous-Capacitor-Voltage Mode

This paper proposes a single-phase high power factor rectifier using a Zeta converter in discontinuous capacitor voltage mode (DCVM). In DCVM, the power converter input current is linearly dependent on its input voltage when the duty cycle is constant. Thus, the operation in DCVM allows the implementation of a rectifier with high power factor and low harmonic distortion. This work also includes a steady-state analysis and a design method for the proposed rectifier. Keywords— High Power Factor Rectifier, PFC, DCVM, Zeta converter.
Analysis of DNA Methylation Motif for Aging Related Genes Based on Networks

후성유전은 DNA 염기서열이 변화하지 않고 DNA의 메틸화(methylation)및 히스톤 단백질의 변형(modification)등의 후천적 과정에 의해 유전자 발현이 조절되는 현상이다. 특히 DNA 메틸화 정도에 대한 분석은 후성유전을 이해하는 중요한 접근방법 중 하나이다. DNA 메틸화 패턴 분석을 위하여 노화관련 109개 유전자들의 단백질 상호작용 네트워크를 구축하였으며 -3000bp ~ +200bp 사이 에 있는 DNA 염기서열 정보를 추출하여 기존에 알려진 메틸화 저항성 (Methylation resistant) 모티프를 네트워크로 구축하였다. 메틸화 모티프기반 단백질 네트워크에서는 기존 단백질 네트워크보다 더 복잡한 구조를 이루고 있었다. 이러한 구조는 동일한 메틸 화 모티프들이 여러 유전자들의 활성을 조절할 것으로 추측되며 복잡한 모티프들을 분석하기 위한 방법으로 이용될 수 있을 것이 다.
GWO Based Optimal Channel Estimation Technique for Large Scale Mimo in LTE Network

The Wireless Systems Are Employed With More Number Of Antennas For Fulfilling The Demand For High Data Rates. In Telecommunication, Lte-A (Long Term EvolutionAdvanced) Is A Well-Known Technology Intended For Wireless Broadband Communication Aimed At Data Terminals And Mobile Devices. Multiple Input Multiple Output (Mimo) Technology Is Used By Lte Which Is Also Known As Fourth Generation Mobile Networks To Attain Very High Data Rates In Downlink And Uplink Channels. Though The Mimo Systems In Massive Mimo Are Provided By Multiple Antennas, The Design Of The Appropriate Non-Erroneous Detection Algorithm Is A Major Challenge. Also, With The Increase In Quantity Of Antennas, The System's Spectral Efficiency Begins To Degrade. So As To Deal With This Issue, A Proper Algorithm Has To Be Utilized For Channel Estimation. The Bio Inspired Algorithms Have Shown Potential In Handling These Issues In Communication And Signal Processing. So, Grey Wolf Optimization (Gwo) Algorithm Is Used In This Approach To Estimate The Most Optimal Communication Channel. Also, The Spectral Efficiency And Data Capacity Are Enhanced Using The Presented Approach. The Proposed Approach’s Performance Is Compared With The Existing Approaches. The Simulation Result Exposes That The Presented Channel Estimation Approach Is Far Better Than Existing Channel Estimation Approaches In Performance Metrics Such As Bit Error Rate, Minimum Delay, Papr, Spectral Efficiency, Uplink Throughput, Downlink Throughput And Mean-Squared-Error
IL-33/sST2 axis in The Cardiovascular System: A Brief Review

IL-33 is a type of cytokine and a new member of the IL-1 family labeled as an alarmin, which is released under stressful settings. IL-33 is a biomechanically induced protein and is mainly produced by cardiac fibroblasts and is expressed by various cell types after pro-inflammatory stimulation. Although the physiological role of IL-33 as a nuclear factor is not fully understood, it seems to be involved in transcriptional suppression via binding to nucleosomes and regulating the density of chromatins. It can play different roles, from progression to protection against a disease, depending on the type of the disease. Its signaling happens by means of the sST2 receptor. sST2 is a mechanically induced protein of the cardiac muscle. The IL-33/ST2 axis plays an important role in various illnesses such as cardiovascular diseases and can be a potential target for disease treatment. This review provides an overview of different aspects of IL-33 and its related receptor, sST2 along with the role of IL-33/sST2 axis in different cardiovascular diseases.
The impact of optimism on usage of computer based accounting practices among small scale enterprises

In most parts of developed countries, it is almost impossible to function as an accountant without requisite Information Technology skills. Advent of the computerized accounting practices equally affected to the organizations in both developed and developing countries. As introducing new technologies, the manual accounting systems have become gradually inadequate for decision needs. The major objective of the research paper is to explore the impact of Optimism of small business owners on their Usage of Computer based Accounting Practices among small scale businesses. Moreover, it tries to evaluate the level of Optimism regarding the Technology and the level of the Usage of Computer based Accounting Practices among small scale businesses. And ultimately it tries to find out the relationship between Optimism and the Usage of Computer based Accounting Practices among the small scale businesses. The study was conducted among the sample of hundred small business owners who were randomly selected from Nuwara Eliya district. The data analysis included the Univariate analysis (descriptive), Cross Tabulation analysis and Bivariate analysis. Considering the variable, Usage of Computer Based Accounting Practices among small scale businesses in Nuwara Eliya district is in low level but the influence of the Optimism regarding the Technology is in high level. The Pearson‟s correlation analysis explores that there is a positively significant linear relationship between Optimism regarding the Technology and the Usage of Computer based Accounting Practices. Regression analysis has proved that Optimism regarding the Technology of small business owners shall be considered as a strategic tool and major predictor of Usage of Computer based Accounting Practices among small businesses in Nuwara Eliya district.
Efficient Routing in Wireless Sensor Network by using Water Cycle Algorithm to Evaluating the Performance of Density Grid Based Clustering

Wireless communication has an exceptional network known as a wireless sensor network, which consists of many dedicated sensors. They have characteristics of sensing capacity and have the capability to complete a common task. To increase the performance of the network an energy efficient algorithm is needed which enhances the network lifetime and make the system more energy efficient. In this paper, the density grid based clustering is enhanced using the water cycle algorithm. The water cycle algorithm is a nature-inspired optimization algorithm that is used to increase the performance of the network which effects the lifetime of the network. The simulation is done in the Matlab r2015a environment. The proposed methodology has increased the performance of the network when compared with the existing algorithm ABC (artificial bee colony) and its better improvement is shown in parameters like network lifetime, computation time and clusterformed
Pharmacological Potential of Chrozophora Tinctoria Extracts for the Management of Carbon Tetra Chloride (Ccl4) Induced Hepatotoxicity in Rat’s Model

Background: Liver is a vital organ of the human body, and hepatotoxicity is major problem of liver and the current scenario is effected in this problem in a big ratio it has many causes, in this study the hepatotoxicity induced in rat to use CCl4 and its treated by hydro-alcoholic extract of C.tinctoria to given low and high dose and was to be evaluated by the comparison between disease and treatment group. Objective: The present study was design to carry out for the evaluation of hepatoprotective effects of hydro alcoholic leaves extract of Chrozophora tinctoria over the carbon tetrachloride (CCl4) induced liver damage in albino Wister rats. Methods: All the experimental Wister rats were randomly divided into five groups having six rats in each. Group I served as the normal control (Saline 0.9%) rat, Group II, Group III, Group IV and Group V was administered with CCl4which was prepared in 20% olive oil at a signal dose of 1.5ml/kg body weight by i.p. route for induction of hepatotoxicity. In an experimental protocol Group II serves as diseased control. Group III: was administered with hydro alcoholic extract of C.tinctoria (50mg/kg/day), Group IV: was treated with hydro alcoholic extract of C.tinctoria (100mg/kg/day). Group V: was treated with sylimarin (25mg/kg /day). Over the experimental period of 28 days blood sample were collected for biochemical analysis, and liver tissue were collected for biopsy. Result: After administration of CCl4 rats developed hepatotoxicity which evident by elevation in AST, ALT, ALP, total bilirubin, total proteins and the antioxidant enzyme parameters CAT, SOD, GGT, GST was decreases. Although administer of CCl4. Administration of hydro alcoholic extract of C.tinctoria (50mg/kg /day) shows improved in AST, ALT, ALP, total bilirubin, total proteins towards normal level and significantly increases (p<0.05) the antioxidant enzyme parameters CAT, SOD, GGT, and GST. Similarly, administration of hydro alcoholic extract of C.tinctoria(100mg/kg/day) shows more significantly decrease (p<0.05) in AST, ALT, ALP, total bilirubin, total protein towards normal level increases and more significantly (p<0.05)the antioxidant enzyme parameters CAT, SOD, GGT, and GST in compare to standard as well as control groups. However, the albino Wister rats treated with high dose hydro alcoholic extract (C.tinctoria 100mg) showed more significant improvements as hepatoprotective than low dose of C.tinctoria i.e.50mg. Discussion: The hepatoprotective activity of hydro alcoholic extract of C.tinctoria 100mg could palliate the liver injuries perhaps by its phytoconstituents and antioxidant enzyme, hence it eliminating the deleterious effect of toxic metabolites from the CCl4.
Study of State-Owned Enterprises (SOEs) Profitability in Indonesia 2012-2016 Period

One of the purposes of the establishment of SOEs is to become a source of funding for the state. But unfortunately, the losses and potential bankruptcy is still a business challenge to date. Therefore, the aims of this research to analyze the SOEs’ financial performance and the factors that affected profitability. The analysis method used is panel data regression involving 118 financial data companies in the year of 2012-2016. The variables used consisted of return on assets (ROA), total asset growth (TAG), current ratio (CR), total assets turnover (TATO), and debt to equity ratio (DER). After eliminating the outlier data and use other statistical tests, a fixed-model effect (FEM) was obtained. Based on the analysis result, the effect of TAG, CR, and TATO is positive and significant on the ROA. Meanwhile, the effect of the DER is not significant on ROA. This model is able to explain the variation of the dependent variable of 92,40 percent.
Multimodal Visual and Simulated Muscle Activations for Grounded Semantics of Hand-related Descriptions

In this paper, we build on research which has applied visually-derived features for grounded semantics by leveraging an additional modality: simulated hand muscle activations. We apply the Words-as-Classiﬁers model of grounded semantics to learn a mapping between features from the two modalities and corresponding hand image descriptions. Our experimental results show that a multimodal fusion of both visual and muscle features yields improved results for the model than either of the modalities alone in image and description retrieval tasks. By simulating mirror neurons, we further show that the simulated muscle activations can be derived from the visual features and applied to our model
Analysis of Melanoma Lesion Images using Feature Extraction & Classification Algorithms

Among the most dangerous of cancers found in human beings, skin cancer is the prevalent one. These are of various forms. The most sporadic among them is melanoma. Early phase identification of melanoma will be helpful in curing it. Intensive skin exposure to UV radiation is the principal cause of melanoma. In this article, along with other techniques for extracting features (LDP [Local Directional Patterns], LBP [Local Binary Patterns], Convolutional Neural Networks [CNN]), we have used an SVM classifier for the study of melanoma skin photos. Such suggested algorithms are best graded when opposed to other recognition schemes. The LBP and LDP gives us means to extract features; these figures are subsequently used for identification of derived features from these methods or algorithms and classified or separated by the SVM (Support Vector Machine) classifier. For many of the classifications of melanoma skin images using these algorithms, we have accuracy nearly above 80 %, whereby the LBP system together with the SVM classifier was the most powerful attribute extraction tool of the three with their polynomial kernel type. Thus using this algorithm-classifier, the melanoma skin lesion images can be detected and diagnosed by the doctors in its early stage itself, resultantly, helping save lives. Keyword: Lesions, melanoma, benign, algorithms, classification, SVM, LBP, LDP, CNN, feature extraction.
Effects of Buoyancy on Vortices in Laminar n-Butane Diffusion Flame Under Microgravity Condition

Flow characteristic, non-buoyancy, laminar jet diffusion flames are described, based on experiments carried out in microgravity condition during 1.5 seconds of dropping from tower. Experimental conditions were conducted in both normal and microgravity condition. Methane (CH4), ethylene (C2H4) and n-butane (C4H10) fuels were burned in steady air at an ambient temperature and atmospheric pressure. Additionally n-butane flame tests were carried out under microgravity. Under normal gravity, the experimental study on flow characteristic in various laminar coflow diffusion flames have been conducted with a particular focus on the buoyancy force exerted from gaseous hydrocarbon fuels. Methane, ethylene and n-butane were used as fuels for the experiments. Coflow burner and Schlieren system were used to observe the fuel flow field near nozzle exit and flow characteristics in flames. The result showed that the recirculation zone was appeared near the nozzle exit with the strong negative buoyancy on the fuel stream when burning n-butane which has heavier density than air. As Reynolds vii number increases by the control of fuel velocity of n-butane, the vortices were increased and the vortices tips were moved up from the nozzle exit. In addition, it can be found that the heated nozzle can affect the flow fields of fuel stream near the nozzle exit. Under microgravity condition, the experimental studies on flow characteristic of n-butane flames have been conducted with a particular focus on the non-buoyancy force exerted from gaseous hydrocarbon fuels. The axial velocities of fuel stream were slow up toward the upstream. An indication of absence buoyancy and acceleration due to gravity, the axial velocity were slowly toward the downstream and the particles of fuels stream were not moved in the pockets near the nozzle exit. Therefore, the recirculation zones were disappeared near nozzle exit in nbutane flame under microgravity condition.
Association of VvmybA1 gene expression with anthocyanin production in grape (Vitis vinifera) skin-color mutants

By using white-skinned cultivars (‘Italia’ and ‘Muscat of Alexandria’) and putative red-skinned sports (‘Ruby Okuyama’ and ‘Flame Muscat’) from the white cultivars, we analyzed the expression and function of a myb-related gene, VvmybA1, involved in the regulation of anthocyanin biosynthesis in grapes. A simple sequence repeat (SSR) analysis showed that ‘Ruby Okuyama’ and ‘Flame Muscat’ are true derivatives by bud mutation from ‘Italia’ and ‘Muscat of Alexandria’, respectively. The VvmybA1 transcript was detected in berry skins of ‘Ruby Okuyama’ after coloring had begun; it was not detectable in those of ‘Italia’. Three VvmybA cDNAs (VvmybA1, VvmybA2, and VvmybA3) from ‘Ruby Okuyama’ under the control of the 35S promoter were introduced into somatic embryos of ‘Kyoho’ by particle bombardment. Upon the introduction of VvmybA1, red cells were induced in the embryos, whereas the introduction of VvmybA2 or VvmybA3 failed to do so. The VvmybA1 cDNA was also shown to have the ability to induce the anthocyanin-producing cells in the skin tissues of ‘Muscat of Alexandria’. The relationship between the skin-color mutations and the detailed structure of the VvmybA1 gene is also described.
Conversational types: a topological perspective

The notion of conversational genre/type is a crucial one for various tasks in dialogue. These include the planning of the subject matter of initiating utterances, the form/content of domain-speciﬁc moves, and the resolution of non-sentential utterances. In this paper, we discuss experiments whose aim is to come up with metrics over the class of conversational types. We compare two main methods: using n -grams ( n =1,2) and using the distribution of non-sentential utterances. We show that both methods yield promising results, though the method involving non-sentential utterance distributions is ultimately more effective. We consider the implications that this has for modelling conversational types.
Assessing the impact of an introduced bee, Anthidium manicatum, on pollinator communities in New Zealand

Abstract Introduced pollinator species may exacerbate the problems faced by pollinator communities, so the detection in 2006 of a new solitary bee, Anthidium manicatum, to New Zealand was concerning. We assess whether establishment of this wool-carder bee presents potential risks to native flora and fauna by recording its current distribution, which plant species it visits, which insects co-occur at these plants, and identifying which species this territorial bee attacks. Anthidium manicatum is now widespread in urban New Zealand. More than 80% of the plants visited by A. manicatum were exotic species (predominantly Lamiaceae and Plantaginaceae), although it also visited native species of Veronica (Plantaginaceae) and Lobelia (Campanulaceae). Anthidium manicatum primarily interacted with other introduced bees. Native Lasioglossum bees were seldom attacked and only for short durations. Further research is required, particularly on weeds, but we suggest that A. manicatum does not present a major direct threat to New Zealand's native flora and fauna.