Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic characterization of fin fish species from the Warri River at Ubeji, Niger Delta, Nigeria

A study to evaluate the genetic similarities and differences among 11 specimens of cichlids and four specimens of mudcatfishes obtained from Warri River was carried out through DNA fingerprinting analysis using random amplified polymorphic DNA (RAPD)-PCR amplification with seven decamer primers and dendrograms through unweighted pair-group method with average (UPGMA) cluster analysis. The total number of bands generated by the seven RAPD primers, ranged between 2 to 33 for the cichlids and 8 to 28 for the catfish family, with band size between 100 to 800 bp. The primers produced 228 bands in total 119 for the cichlids and 109 for the catfishes, with 24% polymorphism. Considerable genetic variation was observed within species (especially within Tilapia zilli, T. guineensis and Clarias gariepinus ), between species in the same genera ( T. zilli and T. guineensis) and among cichlids and catfishes. The most consistent of the RAPD primers generated 87 bands among the cichlids with 23 bands (26%) polymorphic and 74% conserved. Among the catfishes, the primers produced 69 bands with 16 (23%) polymorphic. The data show that the RAPD technique was useful and sensitive in differentiating various fish genera and species. Keywords: Random amplified polymorphic DNA (RAPD), Niger Delta, aquatic diversity, phylogeny African Journal of Biotechnology , Vol 13(26) 2689-2695
Accumulation of proteins in cucumber seedlings resistant to Pectobacterium carotovorum subsp. carotovorum.

DNA, RNA and protein contents as well as protein banding pattern on SDS-PAGE of melon (Cucumis melo) and cucumber (C. sativus) seedlings inoculated with Pectobacterium carotovorum subsp. carotovorum strain 119A, which infects melon but not cucumber, and P. carotovorum subsp. carotovorum strain pep2A, which infects either plant species, were estimated. Seedlings inoculated with sterile distilled water (SDW) and noninoculated were used as controls. No significant change was detected in DNA levels of melon and cucumber seedlings inoculated with SDW and Pcc strain pep2A and melon seedlings inoculated with Pcc strain 119A. However, increased RNA levels were observed in these treatments. Cucumber seedlings inoculated with Pcc 119A contained the highest level of DNA and RNA relative to all other treatments as well as the control. Although melon seedlings inoculated with Pcc 119A and Pcc pep2A contained more protein bands than the noninoculated control, it contained reduced band percentage and reduced protein contents. In contrast, melon seedlings inoculated with SDW and cucumber seedlings inoculated with the three types of inoculations contained higher number of protein bands, higher band percentage as well as higher protein contents relative to the noninoculated control. The highest level of protein was obtained in cucumber tissues inoculated with Pcc 119A which might suggest that these proteins could play a role in the resistance of cucumber seedlings to this strain.
Effects of protein sources on performance, carcass composition, blood parameters and meat quality in Charolais heifers

The aim of the present study was to evaluate the effects of feeding faba bean and sweet lupin as alternative protein sources to soybean on productive performance, blood parameters, carcass composition, and chemical-physical characteristics of meat and its fatty acid (FA) profile in Charolais heifers. Twenty-four heifers were divided into three homogenous groups and fed with durum wheat straw and three iso-energetic and isonitrogenous pelleted complete diets containing 14% (on as-fed basis) soybean meal; 28% faba bean; and 20% sweet lupin seed. The animals were slaughtered after a 168 day feeding period, and the Longissimus lumborum muscle was sampled for meat quality measurements. The feed conversion index was better in the heifers fed faba bean compared with the soybean treatment group (6.71 versus 7.17). No differences were found among treatment groups in productive performance, slaughtering data and physical features. The concentration of linoleic acid in the meat of the soybean group differed significantly from that in the lupin group (2.38 versus 2.11%). Feeding lupin seed increased the concentrations of C20:3 n-6 (0.09%) and C20:4 n-6 (0.20%) in meat significantly, compared with the soya- and faba bean treatments (0.06–0.07% and 0.12–0.13%, respectively). No differences were found among groups for blood parameters, except for urea concentration, which was lower in the lupin group compared with the concentrations in the serum of heifers receiving the soya bean treatment (31.29 as opposed to 37.56 mg/dL). In conclusion, since faba bean and lupin seed did not affect any of the parameters negatively, these legume grains can be included successfully as alternative protein sources in beef cattle diet. Keywords : Faba bean, lupin seed, soybean, beef cattle, feeding
Learning and Earning in Global Garment and Footwear Chains

This article explores the power of the global value chain approach in explaining the growth of production capabilities and the distribution of gains. It suggests that the upgrading opportunities of local enterprises are structured by the relationships in global value chains. This is shown clearly for the case of the garment and footwear industry, where advances have been rapid in product and process upgrading but more limited in functional upgrading. With regard to the distribution of gains, the global value chain approach also provides clear hypotheses but the empirical evidence remains weak.Cet article se penche sur l'apport le pouvoir explicatif des analyses dechaîne de valeur pour comprendre la croissance des capacités de production et la distribution des gains. Il suggère que les occasions de montée en gamme des entreprises locales proviennent des relations dans la chaîne de valeur. C'est clairement le cas dans l'industrie du textile, de l'habillement et des chaussures où les progrès ont été rapides pour les produits et processus mais plus limités pour les fonctions d'organisation et commerciales. En ce qui concerne la distribution des gains, l'approche en termes de chaîne de valeur propose des hypothèses claires mais les résultats sont peu probants.
History of West Mediterranean newts, Pleurodeles (Amphibia: Salamandridae), inferred from old and recent DNA sequences

Abstract MtDNA sequences (396 bp cytochrome b and 369 bp 12S rRNA) from recent material and old museum specimens indicate Pleurodeles poireti and P. waltl form independent clades with 7.76% genetic divergence. Within P. poireti, populations from Djebel Edough, NE Algeria are very distinct with 6.12% genetic divergence from the remainder and may deserve separate species status. Away from Djebel Edough, P. poireti consists of three distinct clades (coastal NW Tunisia; central N Algeria; Constantine plus inland NW Tunisia) with a maximum genetic divergence of only 1%. P. waltl contains two clades with 2.96% genetic divergence, one in SE and E Spain plus north Morocco, the other in Portugal and SW and central Spain. Pleurodeles probably invaded NW Africa from SW Europe during the Messinian Salinity Crisis, when land contact was first established at 5.6 Ma, and then interrupted at 5.3 Ma. Molecular clocks, calibrated in the assumption that the latter event separated P. waltl and P. poireti, suggest that Pleurodeles diverged from its sister taxon, Tylototriton, at about 8.6–10 Ma. Djebel Edough P. poireti separated at about 4.2 Ma, perhaps through isolation on a temporary, now ‘fossil’, island initiated by the Messinian crisis. Differentiation in remaining P. poireti may have been caused by Pleistocene climatic fluctuations, while bifurcation in P. waltl appears to have taken place in the Pliocene approximately between 3.2 and 2 Ma. This species reached Morocco very recently, perhaps as a result of human introduction. Use in Pleurodeles of the slower divergence rates estimated in some other salamandrids results in a less parsimonious historical hypothesis that does not fit known geophysical events.
Aalborg Universitet Selective harmonic elimination in a wide modulation range using modified Newton-raphson and pattern generation methods for a multilevel inverter

Considering the aim of having low switching losses, especially in medium-voltage and high-power converters, the pre-programmed pulse width modulation technique is very useful because the generated harmonic content can be known in advance and optimized. Among the different low switching frequency techniques, the Selective Harmonics Elimination (SHE) modulation method is most suitable because of its direct control over the harmonic spectrum. This paper proposes a method for obtaining multiple solutions for selectively eliminating specific harmonics in a wide range of modulation indices by using modified Newton–Raphson (NR) and pattern generation techniques. The different pattern generation and synthesis approach provide more degrees of freedom and a way to operate the converter in a wide range of modulation. The modified Newton–Raphson technique is not complex and ensures fast convergence on a solution. Moreover, multiple solutions are obtained by keeping a very small increase in the modulation index. In the previous methods, solutions were not obtainable at all modulation indices. In this paper, only exact solutions to the low-order harmonics elimination for Cascaded H-bridge inverter are reported for all modulation indices. Analytical and simulation results prove the robustness and correctness of the technique proposed in this paper.
4Q Model: How to Apply Guidelines for COPD in Primary Care

According to Italian General Practitioners (GPs), it is difficult to use guidelines and consensus, because they refer mainly to the disease and they are not close to the variability of real life.To help GPs perform clinical audits and address some management problems, we have devised a new analysis methodology: four-quadrant (4Q) diagnostic analysis.4Q model describes, in a fairly realistic way, the characteristics and clinical issues of patients with chronic obstructive pulmonary disease (COPD) during visits in the General Medicine setting. Using this model, GPs can identify and group patients in four specific areas; depending on the membership, the intervention is defined by the guidelines and the evidence-based medicine.
FDSS DOWNLINK CAPACITY IN URBAN ZONE NEAR ATSC 8-VSB DIGITAL VIDEO BROADCASTING INSTALLATIONS

The FDSS macrocell downlink capacity is evaluated for macrocells that operate at the same frequency of the ATSC 8-VSB Digital TV station and that is nearby the DTV installations. It has been found that the cell capacity vanishes for a very little distance from the 8-VSB transmitter and that the critical distance is of 22 km from the 8-VSB transmitter. It has been shown that the critical distance increases with the increment of the effective transmitted power of the TV transmitter and with the increment of the TV transmitting antenna. Moreover, it has been noticed that the effect of the 8- VSB system is null at a distance of 60 km and that the downlink vanishes at the zone very near to the 8-VSB installations
Intelligent Heating and Embedded Air Conditioning Programming Method Customer Comfort for Home Energy Management System

To guard the residence from the outsider’s access andprovide the automation could be very essential now-a-days. This undertaking in particular focusing on those troubles. To try this assignment, we are the use of the LPC2148 microcontroller. To degree the numerous emergency parameters and the weather parameters, we are using the terrific sensors. Sensors only offer us the analog values and the controllers only can understand the digital values. So, we ought to convert the sensor values into the virtual values. So, right here we are the usage of the LPC2148 microcontroller, which has the in-constructed ADC channels in it. The ADC output values are study with the resource of the controller and ship to LCD for display motive. The strength consumed via the hundreds inside the home come to be measured through the strength meter and the overall sort of gadgets is also displayed on the LCD. The GSM modem is used to send the alert messages to the consumer if any of the sensors rate is going past the sill factor. All the sensor steps and the full sort of gadgets consumed had been sent to the predefined cyber web leaf via the use of the Wi-Fi section. The Wi-Fi any become merge to the controller in the course of the UART anchorage. The emergency switch equipped become to get the document of all the sensors values in the type of SMS.
Simulador gráfico de Movimiento Armónico como instrumento para integrar conocimientos

La incorporacion y uso adecuado de las TIC's durante el proceso de ensenanza-aprendizaje puede convertirse en un instrumento que ayuda a lograr aprendizajes significativos por un lado al construir el codigo fuente de un simulador, y por otro cuando se lo utiliza realizando experiencias virtuales. El trabajo presenta el desarrollo de un instrumento virtual de aprendizaje para ser utilizado como un simulador de un sistema mecanico aplicado en este caso sobre una masa, un resorte y un amortiguador (Simulador_MRA), con el objetivo de facilitar la incorporacion de temas conceptuales del area mediante la realizacion de distintas experiencias. Durante las mismas se visualizan en la pantalla en tiempo real el movimiento de la masa y del resorte conjuntamente con las graficas asociadas a la posicion, velocidad, aceleracion, y energias del sistema en funcion del tiempo. Las simulaciones se realizan en lenguaje Java, a traves de un software para tal fin (Easy Java Simulations). A su vez se analizan las ventajas en la realizacion y utilizacion del Simulador_MRA frente a otros similares que se encuentran disponibles en la red.
mt-DNA sequences and possible invasion pathways of the Chinese mitten crab

The Chinese mitten crab Eriocheir sinensis is an invasive species that inflicts considerable economical and ecological damage in European and American freshwaters. Sequence variation at the mitochondrial COI gene was investigated from Chinese, European and American populations in order to infer the invasion history. Firstly, we found a decrease in genetic variability from the source populations to those that have recently been established. Secondly, Central European populations that are about 100 yr old seem to have originated from multiple invasion events. Thirdly, the sequence data suggest high levels of gene flow across drainages within continents. Fourthly, the 2 American populations sampled in San Francisco Bay were fixed for a single haplotype. This haplotype was also found in European but not in Chinese populations; this observation provides circumstantial evidence for the unexpected hypothesis that the American populations were founded by a single introduction event from a European source.
On convex combinations of two values

We study values for cooperative TU-games which are convex combinations of the Shapley value and the solidarity value, introduced in our recent paper [1]. First, we axiomatize the convex combination of the two values in the case when the coefficients are given exogenously. Next, we give an axiomatic description of the whole family of such values.
Relationships among Cognitive-Motivational Processes and Academic Performance in Community College Students with a History of Academic Failure.

This study targeted students with a history of a :ademic failure to investigate the relationships among reported self-regulated learning strategies, attributional patterns, academic performance expectancies, and academic performance. Ninety-seven community college students, over 70% of whom were minority group members, completed self-report instruments measuring cognitive-motivational processes and academic performance. Students reported using many self-regulated learning strategies and had generally positive attributional patterns. In addition, the students expected to perform well in the course and did, in fact, accomplish course objectives, on average. :here were significant positive correlations between self-regulated learning strategies and academic performance expectations and attributional patterns. No relationship was found between students' academic performance expectations and their subsequent academic performance. It was concluded that the students may benefit from learning ways to assess the relationship between their own efforts and academic outcomes, including how to -1gineer the outcomes of choice. (Author) Reproductions supplied by EDRS are the best that can be mace from the original document. Relationships Among Cognitive
Integral division points on curves

Abstract Let $k$ be a number field with algebraic closure $ \overline{k} $, and let $S$ be a finite set of primes of $k$ containing all the infinite ones. Let $E/ k$ be an elliptic curve, ${\mit{\Gamma} }_{0} $ be a finitely generated subgroup of $E( \overline{k} )$, and $\mit{\Gamma} \subseteq E( \overline{k} )$ the division group attached to ${\mit{\Gamma} }_{0} $. Fix an effective divisor $D$ of $E$ with support containing either: (i) at least two points whose difference is not torsion; or (ii) at least one point not in $\mit{\Gamma} $. We prove that the set of ‘integral division points on $E( \overline{k} )$’, i.e., the set of points of $\mit{\Gamma} $ which are $S$-integral on $E$ relative to $D, $ is finite. We also prove the ${ \mathbb{G} }_{\mathrm{m} } $-analogue of this theorem, thereby establishing the 1-dimensional case of a general conjecture we pose on integral division points on semi-abelian varieties.
Stochastic Small Signal Stability of a Power System with Uncertainties

The ever-increasing penetration of wind power generation and plug-in electric vehicles introduces stochastic continuous disturbances to the power system. This paper proposes an analytical approach to analyze the influence of stochastic continuous disturbances on power system small signal stability. The noise-to-state stability (NSS) and NSS Lyapunov function (NSS-LF) are adopted for stability analysis with respect to the magnitude of uncertainties in a power system. The power system is modeled as a set of stochastic differential equations (SDEs). The supremum of the norm of the covariance is employed to characterize the influence of magnitudes of uncertainties on the power system. Then the relationship between the magnitudes of stochastic variations and probabilistic stability is explicitly identified by NSS. The proposed method can assess the stochastic stability of the power system by checking some algebraic expressions. Hence, it has high computation efficiency compared with the well-established Monte Carlo based method. Besides, since the magnitudes of the stochastic variations are integrated into the definition of the stochastic stability, the proposed method provides theoretical explanations for the impacts of uncertainties.
Localizing Exception Faults in Android Applications

In software programs, most of the time, there is a chance of faults in general, and exception faults in particular. Localizing those pieces of code which are responsible for a particular fault is one of the most complicated tasks and it can make incorrect results if done manually. Semi-automated and fully-automated techniques have been introduced to overcome this issue. However, despite recent advances in fault localization techniques, they are not necessarily applicable to Android applications because of their special characteristics like context-awareness, use of sensors, being executable on various mobile devices, limited hardware resources, and so on. To this aim, in this paper, we introduce a semi-automated hybrid method that combines static and dynamic analysis to localize exception faults in Android applications. Our evaluations with a number of open source Android applications of different sizes with various exceptions show that our proposed technique can correctly identify the root causes of occurred exceptions. These results indicate that our proposed approach is effective in practice in localizing exception faults in Android applications.
Electrical properties of carbon nanotubes / WS2 nanotubes (nanoparticles) hybrid films

DC and AC electrical properties of hybrid films, consisting of carbon nanotubes and tungsten disulfide nanotubes (and fullerene like nanoparticles) were studied within the 2 ‐ 300 K temperature range and over the 20 Hz ‐ 1 MHz frequency range. The temperature dependences of the resistance R(T) exhibit behavior typical for the fluctuation-induced tunneling model in the intermediate temperature range. Analysis of the dependences of real and imaginary components of the impedance on the frequency (Z’(f) and Z”(f)) demonstrates the rising role of the contact barriers between carbon nanotubes inside hybrid films, consisting of the carbon nanotubes and inorganic tungsten disulfide nanotubes as the temperature was decreased. The active component of the impedance was found to prevail in the AC electrical properties of the hybrid films, consisting of multi-wall carbon nanotubes and WS2 nanoparticles over the entire available temperature range.
6 - Méthodes multiéchelles appliquées à l'analyse des images radar à ouverture synthétique

In this paper, we propose a filtering multiscale method to remove the speckle noise in synthetic aperture radar (SAR) images . This filtering is based on the a trous algorithm . It is derived from the multiscale methods developed for astronomical images using the extraction of significant structures . Nevertheless, the multiplicative behaviour of the speckle implies the wavelet thresholding to be modified according to the speckle noise statistic properties . We start with a classical approach based on a logarithmic transform of the image . Then, another method based on the energy of the image is presented . It allows one to obtain a better radiometrical precision in the filtered image . An original analysis is presented that takes advantage of the information given by the significant wavelet coefficients obtained from the thresholding procedure . This analysis is used to show the temporal variations at different scales and to extract the structures at small scales .
Leafwise holonomy in reduction of nonholonomic systems

In this paper we recall the concept of generalised connections and show how these connections are encountered in the theory of non-holonomic systems with symmetry. Using results from a recent paper in which the definition of holonomy for generalised connections was introduced, we show amongst others that these holonomy elements are encountered in the reconstruction process for reduced non-holonomic systems with symmetry. This is illustrated with the well-known snakeboard example.
An Effective Ensemble Deep Learning Framework for Malware Detection

Malware (or malicious software) is any program or file that brings harm to a computer system. Malware includes computer viruses, worms, trojan horses, rootkit, adware, ransomware and spyware. Due to the explosive growth in number and variety of malware, the demand of improving automatic malware detection has increased. Machine learning approaches are a natural choice to deal with this problem since they can automatically discover hidden patterns in large-scale datasets to distinguish malware from benign. In this paper, we propose different deep neural network architectures from simple to advanced ones. We then fuse hand-crafted and deep features, and combine all models together to make an overall effective ensemble framework for malware detection. The experiment results demonstrate the efficiency of our proposed method, which is capable to detect malware with accuracy of 96.24% on our large real-life dataset.