Miracle-dz/UniFAR-FTUs huggingface dataset:
"On the Econometric Modeling of Non-Linear Relationships: the Gumbel Regression Model "

Relaciones de tipo no lineal entre variables aparecen de manera frecuente en todos los campos de la economia. El debate academico sobre como modelar dichas relaciones, desde un punto de vista estadistico, ha estado centrado en el desarrollo de nuevos metodos de estimacion o en la especificacion de los componentes del modelo clasico de regresion lineal. En este articulo proponemos enfrentar dicho problema derivando los modelos de regresion poblacional a partir de funciones de densidad condicionales con medias no-lineales genuinas. Este procedimiento matematico garantiza no solo una consistente derivacion de la media condicional que da origen a un modelo econometrico no lineal, sino tambien un analisis mas apropiado de los efectos casuales entre las variables economicas involucradas (efectos marginales). Finalmete, se presenta un ejemplo del funcionamiento de dicho procedimiento medianta la especificacion de un modelo econometrico no lineal y heteroscedastico que surge de una distribucion Gumbel.
THE BURST CLUSTER: DARK MATTER IN A CLUSTER MERGER ASSOCIATED WITH THE SHORT GAMMA-RAY BURST, GRB 050509B

We have identified a merging galaxy cluster with evidence of two distinct subclusters. The X-ray and optical data suggest that the subclusters are presently moving away from each other after closest approach. This cluster merger was discovered from observations of the first well-localized short-duration gamma-ray burst (GRB), GRB 050509B. The Swift/Burst Alert Telescope error position of the source is coincident with a cluster of galaxies ZwCl 1234.0+02916, while the subsequent Swift/X-Ray Telescope localization of the X-ray afterglow found the GRB coincident with 2MASX J12361286+2858580, a giant red elliptical galaxy in the cluster. Deep multi-epoch optical images were obtained in this field to constrain the evolution of the GRB afterglow, including a total of 27,480 s exposure in the F814W band with Hubble Space Telescope Advanced Camera for Surveys, among the deepest imaging ever obtained toward a known galaxy cluster in a single passband. We perform a weak gravitational lensing analysis based on these data, including mapping of the total mass distribution of the merger system with high spatial resolution. When combined with ChandraX-ray Observatory Advanced CCD Imaging Spectrometer and Swift/XRT observations, we are able to investigate the dynamical state of the merger to better understand the nature of the dark matter component. Our weak gravitational lensing measurements reveal a separation of the X-ray centroid of the western subcluster from the center of the mass and galaxy light distributions, which is somewhat similar to that of the famous “Bullet cluster,” and we conclude that this “Burst cluster” adds another candidate to the previously known merger systems for determining the nature of dark matter, as well as for studying the environment of a short GRB. Finally, we discuss potential connections between the cluster dynamical state and/or matter composition, and compact object mergers, which is currently the leading model for the origin of short GRBs. We also present our results from a weak-lensing survey based on archival Very Large Telescope images in the areas of five other short GRBs, which do not provide any firm detections of mass concentrations representative of rich clusters.
PRICING AND HEDGING OF A GENERAL KIND OF MULTIASSET OPTION (

Our aims is to propose an evaluation and a replicating strategy for a general kind of multiasset option in an international multicurrencies no-arbitrage world with Gaussian interest rates. Johnson's formula for the option on the maximum of several assets is derived as a particular case of ours, and two examples of application, namely the MAP strategy and the option on the arithmetic mean of several assets, are presented.
REAL-TIME CONTROL OF MOBILE ROBOT USING HMM-BASED SPEECH RECOGNITION SYSTEM

Human-robot interaction (HRI) is a significant area of interest in robotics which has attracted a wide variety of studies in recent years. In order to provide natural human-robot interaction, robots will have to acquire the skills to detect and to integrate meaningfully information from multiple modalities. In this paper, a practical speech-controlled mobile robot car system is presented and discussed. In this study the developed Hidden Markov Model (HMM) with separate word recognition system and real-time control were obtained on a mobile robot. Mel-Frequency Cepstral Coefficients (MFCC) were applied as features for the control design of mobile robot. In the study, 270 speech commands (ILERI=forward, GERI=backward, DUR=stop, SAĞA=right, SOLA=left) which are collected from 54 different people were applied to a series of mathematical operations and 12 cepstral coefficients were derived. Therefore, a database was generated by 12 cepstral coefficients. Thus, HMM model was trained and tested according to database. Speech data were classified in two groups as 90% training data and 10% test data. The recognition success rate of test commands was measured 94%.
The Management of Drinking Water and Long-term Perspective: Tunisia Case

This article analyzes the current situation of the management of drinking water in Tunisia, focusing on the constraints that the said management is subject. The empirical results show the absence of a long-term equilibrium between production capacity and consumption structure. In addition, the pricing policy is not an incentive tool to lower consumption. In fact, for domestic sector, water appears as a necessary good, while for both industry and tourism sectors declining consumption due respect to the fact that these two sectors have adopted other sources of supply substituting water of the National Water Distribution Utility. In addition to these three sectors, the hypothesis of co-integration (long-term equilibrium relationship) between the level of consumption, the price and the number of subscribers is rejected in most cases. To solve these problems, we propose a new pricing structure based primarily on the size of households to reduce waste
Multicriteria Decision Making (MCDM) Methods for Ranking Estimation Techniques in Extreme Programming

It is essential to use multicriteria decision making (MCDM) methods to evaluate human judgments, for decision problems requiring the measuring of tangible and intangible criteria. Among the MCDM techniques, the analytic hierarchical process (AHP) and its extended version, the analytic network process (ANP) are the most powerful methodologies for ranking options and alternatives. They have been utilized by many scientists and researchers in numerous fields, especially for complex engineering problems. Both tools allow leaders to structure their issues numerically utilizing individual judgments. In this article, it is suggested that the MCDM can be useful in agile processes where complicated decisions happen routinely. This paper shows the ranking of the extreme programming (XP) estimation methods using AHP and ANP in educational and industrial environments.
Measurement method of the LV network for the PLC PRIME transmission and its application

Streszczenie. Ocena sieci nN dokonywana jest metodą pośrednią, polegającą na pomiarze wartości PER i estymatora wartości FER. Zaproponowano, odpowiednie metody interpretacji wynikow pozwalające na wymierną ocene oraz prognozowanie jakości transmisji w standardzie PLC PRIME w sieci nN. Proponowane metody zostaly zweryfikowane w rzeczywistej sieci telemetrycznej przeznaczonej do odczytu licznikow energii elektrycznej. W pracy rowniez przedstawiono wybrane zagadnienia implementacyjne oraz ogolny opis aplikacji pomiarowej. Metoda badania sieci LV do transmisji PLC PRIME
A new simple and reliable vitrification device based on Hollow Fiber Vitrification (HFV) method evaluated using IVP bovine embryos

A new vitrification device based on hollow fiber vitrification (HFV) was constructed using a glass capillary, which lead to simplified construction process and increased practicality of the device. The hollow fiber was attached to heat-pulled tip of the glass capillary using forceps. A protective sheath fitted on the capillary provided protection for the cellulose triacetate hollow fiber with loaded embryos and allowed safe storage in liquid nitrogen for long periods of time (2-12 month), transfer between tanks with liquid nitrogen and transportation within these tanks. No embryos were lost in the process. The device was tested using seven-dayold and eight-day-old IVP bovine blastocysts and expanded blastocysts as a model. Obtained survival (90% at 24 h post warming) and hatching rates (62% at 72 h post warming) of day 7 blastocysts and expanded blastocysts were comparable to those gained using various vitrification carriers. Vitrified embryos did not show an increase in the number of cells with damaged membrane or a decrease in total cell number per embryos in comparison to their non-vitrified counterparts. Day 7 and 8 expanded blastocysts did not differ significantly in terms of survival at 24 (97.01 vs. 97.50%) and 48 h post warming (95.52 vs. 95%), but showed significantly higher survival and hatching rates than day 7 and 8 blastocysts. These results indicated that high and repeatable survival rates can be obtained by selection of IVP bovine embryos at the developmental stage of expanded blastocyst for HFV. Further modification of the method may be required to achieve high and stable results with different developmental stages of IVP bovine embryo. The vitrification device presented in the current article may contribute to wider application of HFV method in livestock production.
Genetic variations in clonally propagated bermudagrass cultivars identified by DNA fingerprinting.

Clonally propagated bermudagrass constitute a major source of turf in the Southern United States. Most of parents for the clonally propagated bermudagrasses were initially introduced from other countries at some time in the past. Few of the cultivars were introduced from China by researchers in the Oklahoma State Agricultural Experimental Station. The objective of this DAF project was to determine the degree of genetic relatedness of these new introduced Chinese cultivars with the existing vegetative cultivars commonly grown in the United States by using DNA fingerprinting technique (DAF). A total of 89 bands were scored using four DAF primers. The cluster analysis was able to distinguish all the varieties studied into 6 distinct groups indicating the existence of wide genetic variations in the cultivars examined. Tifton 10 showed near similarity coefficient to the Chinese cultivars, the cultivar Tifton 10 was directly increased by the plant collection in Shanghai China by Glenn W. Burton. The closer grouping of Tifton 10 with the recently introduced Chinese accessions indicates the existence of similarity of germplasm within China. The cultivar Tifsport a radiation induced mutant from ‘Midiron’ bermudagrass and Tifway, were the most closely related varieties with an SC of 0.94. The two cultivars Tifsport and Tifway which are morphologically undistinguishable showed a very similar banding pattern indicating these cultivars to be nearly identical. The most distinct cultivars in this study were Midlawn and Quickstand which showed a SC of 0.72.
Using a multi-criteria decision making approach (ANP-TOPSIS) to evaluate suppliers in Iran’s auto industry

Supplier selection is a multi-criteria problem which includes both tangible and intangible factors in these problems if suppliers have capacity or other different constraints two problems will exist: which suppliers are the best and how much should be purchased from each selected supplier? The objective of this paper is to present an integrated model and a supporting approach for effective supplier selection decisions and determined optimum order allocation. Therefore, an integrated approach of ANP- TOPSIS (Analytic Network Process and Technique for Order Preference by Similarity to Ideal Solution) is proposed in choosing the best suppliers and defined the optimum quantities order among selected suppliers by using a mathematical model (Multi-Objective Linear Programming). Hence, after library studies and interview with experts, managers and specialists in supply chain management filed, decision criterion was identified through brain storming contains of seven main criteria for suppliers selection process. Then in the second section for order allocation to every selected suppliers in first section; we used a (MOLP) Multi-Objective Linear Programming model. Therefore objectives and subjective of suppliers and Automotive Company were identified in this section. Results show that applying a two phase ANP-TOPSIS methodology causes to some important advantages such as: Long-term relationship, consist quality, lower cost, special attention and etc.
Feature reconstruction based on t-SNE: an approach for fault diagnosis of rotating machinery

It is crucial to effectively and accurately diagnose the faults of rotating machinery. However, the high-dimensional characteristic of the features, which are extracted from the vibration signals of rotating machinery, makes it difficult to accurately recognize the fault mode. To resolve this problem, t-distributed stochastic neighbor embedding (t-SNE) is introduced to reduce the dimensionality of the feature vector in this paper. Therefore, the article describes a proposed method for fault diagnosis of rotating machinery based on local characteristic decomposition-sample entropy (LCD-SampEn), t-SNE and random forest (RF). First, the original vibration signals of rotating machinery are decomposed to a number of intrinsic scale components (ISCs) by the LCD. Next, the feature vector is obtained through calculating SampEn of each ISC. Subsequently, t-SNE is used to reduce the dimension of the feature vectors. Finally, the reconstructed feature vectors are applied to the RF for implementing the classification of the fault patterns. Two cases are studied based on the experimental data of the fault diagnoses of a bearing and a hydraulic pump. The proposed method can achieve a diagnosis rate of 98.22 % and 98.75 % for the bearing and the hydraulic pump, respectively. Compared with the other methods, the proposed approach exhibits the best performance. The results validate the effectiveness and superiority of the proposed method.
Genetic control and combining ability of flag leaf area and relative water content traits of bread wheat cultivars under drought stress condition

Golparvar R.A. (2013): Genetic control and combining ability of flag leaf area and relative water content traits of bread wheat cultivars under drought stress condition. Genetika, Vol 45, No. 2, 351-360. In order to compare mode of inheritance, combining ability, heterosis and gene action in genetic control of traits flag leaf area, relative water content and grain filling rate of bread wheat under drought stress, a study was conducted on 8 cultivars using of Griffing’s method2 in fixed model. Mean square of general combining ability was significant also for all traits and mean square of specific combining ability was significant also for all traits except relative water content of leaf which show importance of both additive and dominant effects of genes in heredity of these traits under stress. GCA to SCA mean square ratio was significant for none of traits. Results of this study showed that non additive effects of genes were more important than additive effect for all traits. According to results we can understand that genetic improvement of mentioned traits will have low genetic efficiency by selection from the best crosses of early generations. Then it is better to delay selection until advanced generations and increase in heritability of these traits.
Responses of seedling transplants to environmental variations in contrasting habitats of Central Amazonia

In the Central Amazon we investigated whether seedling performance (survival, and relative growth rates in height and leaf numbers) was affected by initial seedling size (height and leaf numbers) in habitats that varied in their degree of human disturbance: cattle pasture, young secondary forest, 1-ha forest fragment and old-growth forest. Additionally, effects of photosynthetically active radiation (PAR), litter standing crop (LSC) and insect herbivory were evaluated 12 mo after transplantation in seedlings from the native canopy trees Chrysophyllum pomiferum, Micropholis venulosa and Pouteria caimito. Seedling performance changed rank across the understorey environment depending on species. Seedlings of Chrysophyllum thrived in all conditions but under high PAR, Micropholis thrived only in intermediate light conditions, whereas Pouteria thrived under high PAR. Effects of initial seedling size, PAR and herbivory after 1 y were specific to species, whereas LSC had no effect on performance. Initially larger seedlings resulted in lower survival for Chrysophyllum and Pouteria. Herbivory affected seedling performance in all species. Negative effects of herbivory were intensified under low PAR. Overall, our results showed that, as seedlings, species of the same family and characteristic of old-growth forests respond differently to the environmental constraints present in contrasting human-disturbed conditions. Larger seedlings may not always present greater tolerance to physical and biotic mortality risks.
Dual Band H Shaped Rectangular MicrostripPatch Antenna for WLAN/WiMAX/BluetoothApplications

In this paper, the bandwidth of rectangular Microstrip antenna is enhanced by ‘H’ shaped rectangular microstrip patch antenna. In some applications where the increased bandwidth is needed, dual frequency patch antenna is one of the alternative solutions.The proposed antenna has dual frequency band. In first frequency band (1.63-1.79 GHz) the fractional bandwidth is 9.35% and in second frequency band (2.4-3.34 GHz) the fractional bandwidth is 33.03% . The gain has been improved up to 3.82dBi, directivity 3.87dBi and efficiency 98.91%. The proposed ‘H’ shaped Microstrip antenna is fed by 50Ω Microstrip feed line. The antenna design and performance of ‘H’ shaped micro-strip antenna is stimulated by IE3D zeland software
Time-series predictions with Recurrent Neural Networks

Recurrent Neural Networks (RNNs) have shown great success in sequence-to-sequence processing due to its ability to retain memory while incrementally processing sequence elements. It has become a fundamental algorithm for processing text and speech, and is recently becoming more popular on time-series prediction as well. Recent blog posts showing RNN flexibility applied to time-series prediction combined with flexible and easy-to-use APIs such as Keras, are leading to a widespread use of RNN for time-series prediction. The aim of this thesis is to study the performance of RNN to predict time-series under different scenarios of noise and stationarity. In order to do this, we will simulate time-series from a state-space model (SSM) with known noise and stationarity parameters. An SSM is a subclass of a Bayesian hierarchical model and simulates a hidden state and observation depending only on static parameters and state. This is a common setup found in the signal processing literature. The hidden state will act as an underlying signal while the observation is a mixture of signal and noise. RNN models will try to predict the signal based on the simulated observed values. We are going to experiment with a long short-term memory (LSTM) model, which is the most popular type of RNNs currently used. We evaluate the quality of the LSTM predictions by computing the cumulative mean square error (CMSE) with respect to the true simulated signal. In addition, we will estimate the signal using state-of-the-art Sequential Monte Carlo methods (SMC) such as the Bootstrap filter and Particle Markov Chain Monte Carlo (PMCMC). We then also compare the performance of the LSTM models with respect to the estimated signals. The objective is to get insights into the LSTM performance level when compared to custom-tailored state-space models. The general findings are that the LSTM models perform worse than custom-tailored SSM models in non-stationary scenarios. PMCMC outperforms LSTM in all scenarios given the custom-tailored SSM parameters. Bootstrap filtering struggles more with estimating the state in non-stationary scenarios as noise increases, but still perform better than LSTM.
Quantification of Cry1Ac Protein in Bt Eggplant Fruits

The cultivation of genetically engineered crops has been expanded rapidly in worldwide in a very short span of time. Bt eggplant is a transgenic eggplant created by inserting a crystal protein gene Cry1Ac from the soil bacterium Bacillus thuringiensis . Four Bt eggplant varieties - BARI Bt Eggplant-1, BARI Bt Eggplant-2, BARI Bt Eggplant-3 and BARI Bt Eggplant-4 are started to cultivate in Bangladesh in 2014 as first genetically engineered crop in the country. In the present study, ELISA technique was adopted to quantify the Cry1Ac proteins in the fruits of newly released four Bt eggplant varieties. The expression of Cry1Ac was found among the fruits of the varieties varied from 29.53 to 33.99 µg g -1 . Int. J. Appl. Sci. Biotechnol. Vol 5(3): 356-360
Australasian ( ACIS ) 2001 B-Nodes : A Proposed New Technique for Database Design and Implementation

There exist a wide range of methods that can be used for the analysis and design of IT systems. However a survey of a wide range of methods and a detailed analysis of one structured method indicated the lack of a simple method for modeling hardware. The ORACLE database provides detailed guidelines regarding the minimum platform to run the database and how to derive table spaces (system, user, applications, rollback etc) size of shared pool buffer, Redo log buffer pool etc.that can be used to define hard disc capacity. The system can then be optimised. However little guidance is given regarding the performance of other devices (microprocessor, RAM, bus structures etc). This paper evaluates the new B-Node modeling technique as a possible standard technique in structured systems analysis and design for evaluating hardware performance.
Kinetic analysis and effect of culture medium and coating materials during free and immobilized cell cultures of Bifidobacterium animalis subsp. lactis Bb 12

Microencapsulation technique appears helpful for more protection of Bifidobacteria against acid inhibitory effect. The effect of medium composition and product inhibitory in free cell culture, as well as the effect of the coating materials in immobilized cells, on biomass growth, acid production and substrate utilization kinetics of Bifidobacterium animalis subsp. lactis Bb 12 in uncontrolled batch fermentation was examined. The Monod and the Luedeking and Piret equations with a product inhibition term involving toxic power terms improved model efficiency for both growth and production. The model showed that media and coating materials had an effect on toxic power terms. Cell immobilization had a positive impact on B. animalis culture. Kinetic analysis revealed the permeability of the coating material had a major impact on culture parameters; permeability increased in the following way: Gellan xanthan
A Quasi-Monte-Carlo-Based Feasible Sequential System of Linear Equations Method for Stochastic Programs with Recourse

A two-stage stochastic quadratic programming problem with inequality constraints is considered. By quasi-Monte-Carlo-based approximations of the objective function and its first derivative, a feasible sequential system of linear equations method is proposed. A new technique to update the active constraint set is suggested. We show that the sequence generated by the proposed algorithm converges globally to a Karush-Kuhn-Tucker (KKT) point of the problem. In particular, the convergence rate is locally superlinear under some additional conditions.