Miracle-dz/UniFAR-FTUs huggingface dataset:
Métodologías Ágiles en el Desarrollo de Software

En las dos ultimas decadas las notaciones de modelado y posteriormente las herramientas pretendieron ser las "balas de plata" para el exito en el desarrollo de software, sin embargo, las expectativas no fueron satisfechas. Esto se debe en gran parte a que otro importante elemento, la metodologia de desarrollo, habia sido postergado. De nada sirven buenas notaciones y herramientas si no se proveen directivas para su aplicacion. Asi, esta decada ha comenzado con un creciente interes en metodologias de desarrollo. Hasta hace poco el proceso de desarrollo llevaba asociada un marcado enfasis en el control del proceso mediante una rigurosa definicion de roles, actividades y artefactos, incluyendo modelado y documentacion detallada. Este esquema "tradicional" para abordar el desarrollo de software ha demostrado ser efectivo y necesario en proyectos de gran tamano (respecto a tiempo y recursos), donde por lo general se exige un alto grado de ceremonia en el proceso. Sin embargo, este enfoque no resulta ser el mas adecuado para muchos de los proyectos actuales donde el entorno del sistema es muy cambiante, y en donde se exige reducir drasticamente los tiempos de desarrollo pero manteniendo una alta calidad. Ante las dificultades para utilizar metodologias tradicionales con estas restricciones de tiempo y flexibilidad, muchos equipos de desarrollo se resignan a prescindir del buen hacer de la ingenieria del software, asumiendo el riesgo que ello conlleva. En este escenario, las metodologias agiles emergen como una posible respuesta para llenar ese vacio metodologico. Por estar especialmente orientadas para proyectos pequenos, las metodologias agiles constituyen una solucion a medida para ese entorno, aportando una elevada simplificacion que a pesar de ello no renuncia a las practicas esenciales para asegurar la calidad del producto.
The Role of Foreign Networks for Firm Export of Services

This study formalizes the idea that that the world can become ‘smaller’ through firms’ strategic trade-related decisions. We investigate whether firm investment in obtaining access to foreign networks impacts exports of services by estimating a fixed effects panel model on a comprehensive firm-level dataset for Sweden. In particular, we examine investment in links through the hiring of immigrants. Because trade barriers are higher for services than for goods, and because trade in services is more sensitive to informal trade barriers, firm investment in access to foreign networks could especially help to increase services exports. However, investment in foreign links could benefit overall access within the same cluster of firms, which reduces the incentive for an individual firm to invest in such linkages itself. The novel results suggest a positive and significant influence of firm investment in foreign networks – through the hiring of foreign-born workers – on both the propensity to export services as well as the intensity of exports. Instrumental variable estimation mitigates endogeneity concerns. Weaker export experience enhances the role of investment in foreign networks in terms of the propensity to export. The skill level of foreignborn workers and the time that has elapsed since immigration also impact the degree to which firms can utilize investment in foreign-born personnel to gain access to networks abroad. Our findings provide a new understanding of how firms can overcome trade barriers that specifically impede services by investing in foreign networks, such as through hiring foreign-born personnel, and emphasize the role of foreign-born population to promote services exports.
Semi-supervised sparse dimensionality reduction for hyperspectral image classification

In this paper, a semi-supervised dimensionality reduction method based on sparse representation is proposed. The s-parse representation has the ability to distinguish samples, exactly, the sparse coefficient in sparse representation will be large when the represented samples and the entries of the dictionary are in the same class, but it will be small if they are not. So we use the sparse coefficient to construct our l1-graph in which the connection weight is defined as the contribution of each entries in the dictionary when construct this sample. Considering the goal that reduce the dimension of each pixel and preserve the discriminative information as much as possible we propose an regularization term incorporating the structures reflected by l1-graph. Although labeled samples are always insufficient in HSI processing, we make full use of them with abundant unlabeled samples to improve the performance after dimensionality reduction. So we then introduce LDA method and extend it as a semi-supervised method. Finally we evaluate our method in practical classification work and experimental results on real hyperspectral image show that the proposed method can achieve better and more stable results.
Functional Assessment of Intermediate Vascular Disease

Interventional treatment in various vascular beds has advanced tremendously. However, there are several problems to be considered. We searched the literature and tried to analyze major parts of it. One is safety and applicability of coronary proven methods in other vascular beds. An unresolved problem is the functional assessment of intermediate lesions, as far as various target organs have quite different circulation from the coronary one and the functional tests should be modified in order to be applicable and meaningful. In the majority of the acute vascular syndromes, the culprit lesion is of intermediate size on visual assessment. On the other hand, a procedurally successfully managed high-degree stenosis is not always followed by clinical and prognostic benefit. In vascular beds, where collateral network naturally exists, the readings from the functional assessment are complicated and thus the decision for interventional treatment is even more difficult. Here come into help the functional assessment and imaging with IVUS, OCT, high-resolution MRI, and contrast enhanced CT or SPECT. The focus of the current review is on the functional assessment of intermediate stenosis in other vascular beds, unlike the coronary arteries.
nifPred: Proteome-Wide Identification and Categorization of Nitrogen-Fixation Proteins of Diaztrophs Based on Composition-Transition-Distribution Features Using Support Vector Machine

As inorganic nitrogen compounds are essential for basic building blocks of life (e.g., nucleotides and amino acids), the role of biological nitrogen-fixation (BNF) is indispensible. All nitrogen fixing microbes rely on the same nitrogenase enzyme for nitrogen reduction, which is in fact an enzyme complex consists of as many as 20 genes. However, the occurrence of six genes viz., nifB, nifD, nifE, nifH, nifK, and nifN has been proposed to be essential for a functional nitrogenase enzyme. Therefore, identification of these genes is important to understand the mechanism of BNF as well as to explore the possibilities for improving BNF from agricultural sustainability point of view. Further, though the computational tools are available for the annotation and phylogenetic analysis of nifH gene sequences alone, to the best of our knowledge no tool is available for the computational prediction of the above mentioned six categories of nitrogen-fixation (nif) genes or proteins. Thus, we proposed an approach, which is first of its kind for the computational identification of nif proteins encoded by the six categories of nif genes. Sequence-derived features were employed to map the input sequences into vectors of numeric observations that were subsequently fed to the support vector machine as input. Two types of classifier were constructed: (i) a binary classifier for classification of nif and non-nitrogen-fixation (non-nif) proteins, and (ii) a multi-class classifier for classification of six categories of nif proteins. Higher accuracies were observed for the combination of composition-transition-distribution (CTD) feature set and radial kernel, as compared to the other feature-kernel combinations. The overall accuracies were observed >90% in both binary and multi-class classifications. The developed approach further achieved >92% accuracy, while evaluated with blind (independent) test datasets. The developed approach also produced higher accuracy in identifying nif proteins, while evaluated using proteome-wide datasets of several species. Furthermore, we established a prediction server nifPred (http://webapp.cabgrid.res.in/nifPred) to assist the scientific community for proteome-wide identification of six categories of nif proteins. Besides, the source code of nifPred is also available at https://github.com/PrabinaMeher/nifPred. The developed web server is expected to supplement the transcriptional profiling and comparative genomics studies for the identification and functional annotation of genes related to BNF.
Eosinophil activation in Wells' syndrome demonstrated immunohistochemically with antibodies against eosinophilic cationic protein.

748. 2. Miyachi Y, Horio T, Yamada A, Ueo T. Linear melorheostotic scleroderma with hypertrichosis. Arch Dermatol 1979; 115: 1233 ± 1234. 3. Chabot J, Faulong L. Melorheostosis with stripe-shaped cutaneous sclerosis and localized hypertrichosis. Rev Rhum Mal Osteoartic 1966; 33: 274 ± 275. 4. Wagers LT, Young AW Jr, Ryan SF. Linear melorheostotic scleroderma. Br J Dermatol 1972; 86: 297 ± 301. 5. Morris JM, Samilson RL, Corley CL. Melorheostosis: review of the literature and report of an interesting case with a 19-year follow-up. J Bone Joint Surg Am 1963; 45: 1191 ± 1206. 6. Campbell CJ, Papademetriou T, Bon®glio M. Melorheostosis. J Bone Joint Surg 1968; 50A: 1281 ± 1304. 7. Muller SA, Henderson ED. Melorheostosis with linear scleroderma. Arch Dermatol 1963; 88: 142 ± 145. 8. Soffa DJ, Sire DJ, Dodson JH. Melorheostosis with linear sclerodermatous skin changes. Radiology 1975; 114: 577 ± 578. 9. Mehregan AM, Hashimoto K, Mehregan DA, Mehregan DR. Pinkus' guide to dermatohistopathology, 6th edn. New Jersey: Prentice-Hall International Inc., 1995: 27 ± 29.
Pre-ejection period, the reason why the electrocardiogram Q-wave is an unreliable indicator of pulse wave initialization

Objective: Pulse wave velocity measurements are an indicator of arterial stiffness and possible cardiovascular dysfunction. It is usually calculated by measuring the pulse transit time (PTT) over a known distance through the arteries. In animal studies, reliable PTT measures can be obtained using two pressure catheters. However, such direct, invasive methods are undesirable in clinical settings. A less invasive alternative measure of PTT is pulse arrival time (PAT), the time between the Q-wave of an electrocardiogram (ECG) and the arrival of the foot of the beats pressure waveform at one pressure catheter. Since the Q-wave signifies the start of ventricular contraction, PAT includes the pre-ejection period (PEP), a time where no blood is ejected. Thus, inter- or intra- subject variation in PEP could result in poor correlation between pulse arrival time (PAT) and the desired pulse transit time (PTT). Approach: This study looks at the relationship between PAT and PTT, over a range of common critical care therapies and determines the effect of PEP on PAT as a possible surrogate of PTT in a critical care environment. The analysis uses data from five porcine experiments, where ECG, aortic arch and abdominal aortic pressure were measured simultaneously, over a range of induced hemodynamic conditions. Results: The resulting correlations of PAT verse PTT varied within pigs and across interventions (r2 = 0.32–0.69), and across pigs (r2 = 0.05–0.60). Variability was due to three main causes. First, the interventions themselves effect PEP and PTT differently, second, pig specific response to the interventions, and third, inter- and intra- pig variability in PEP, independent of PTT. Significance: The overall analysis shows PAT is an unreliable measure of PTT and a poor surrogate under clinical interventions common in a critical care setting, due to intra- and inter- subject variability in PEP.
Evidence that low self-worth could be linked to anger and aggression in children with ASD

Autism Spectrum Disorder (ASD) is a condition defined by symptoms and behaviours which affect social and emotional interaction, including poor anger control and aggression, creating great difficulties for the families of those children and adults with ASD. A common trait within ASD is the need for “rules” to be followed. The proposal upon which this literature review is based is that these rules are a form of social inclusion, even if that means a society of one, and adherence to them underpins the ASD person’s self-worth. This literature review considers the evidence in current research for a link between self-worth and anger/aggression in the hope that a method can be developed to improve self-worth and so reduce the incidence of anger responses in the ASD population. The review first considers any links between low self-worth (self-esteem) and aggression in the neurotypical (NT) population. This is a controversial subject with contradictory results: Baumeister, Bushman and Campbell (2000) dismiss any link; Ostrowsky (2010) states there is evidence for and against a link, then Eromo (2017) explains the ambiguities through differentiating self-esteem into eight sub-categories which validates a negative correlation between true high self-esteem and aggression. In the second theme, the value of self-worth is considered in terms of mental well-being. High self-worth scores are shown to correlate with low anxiety, and self-esteem contingent on academic success is also shown to correlate with stress and depression. The final theme details the prevalence of anger/aggression in the ASD population and the value of emotion regulation (ER) techniques. In conclusion, there is sufficient evidence of the link between low self-worth and anger/aggression in the ASD and NT population and a programme is proposed to measure the impact of improving self-worth in a small ASD population with the intention of a more widespread therapeutic programme.
Revision of Geneiorhynchus Schneider, 1875 (Apicomplexa: Eugregarinida: Actinocephalidae: Acanthosporinae) with Recognition of Four New Species of Geneiorhynchus and Description of Geneiorhynchus manifestus n. sp. Parasitizing Naiads of the Green Darner, Anax junius (Odonata: Aeshnidae) in the Texas

Abstract Geneiorhynchus manifestus n. sp. (Apicomplexa: Eugregarinida) is described from the naiads of Anax junius (Odonata: Aeshnidae) collected from the Big Sandy Creek Unit of the Big Thicket National Preserve, Polk County, Texas, U.S.A. The genus Geneiorhynchus is revised and its constituent species reviewed. Descriptions are provided for 2 previously named species, Geneiorhynchus monnieri from naiads of Libellula depressa (Odonata: Libellulidae) collected from Bayreuth, Germany and Roscoff, France and Geneiorhynchus aeshnae from naiads of Aeshna constricta and Aeshna sp. (Odonata: Aeshnidae) collected from Pennsylvania, U.S.A. , and Cheboygan County, Michigan, U.S.A. ; and 3 previously reported taxa recognized as new species: Geneiorhynchus desportesi n. sp. from naiads of Aeshna cyanea (Odonata: Aeshnidae) collected from Montpellier, France, Geneiorhynchus baudoini n. sp. from naiads of Aeschna grandis (Odonata: Aeshnidae) collected from Vincennes and Besse-et-Saint Anastaise, France, and Geneiorhynchus shteini n. sp. from naiads of Aeshna cyanea and Aeshna sp. (Odonata: Aeshnidae) collected from Lakes Pert and Svyat, Karelian Republic, Russian Federation and both Hersbruck and Bamberg, Germany.
COMPOSITION AND VERTICAL DISTRIBUTION OF ROTIFERA IN ASLANTAS DAM LAKE (OSMANIYE-TURKEY)

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Implementing Transparent Compression and Leveraging Solid State Disks in a High Performance Parallel File System

In recent years computers have been increasing in compute density and speed at a dramatic pace. This increase allows for massively parallel programs to run faster than ever before. Unfortunately, many such programs are being held back by the relatively slow I/O subsystems that they are forced to work with. Storage technology simply has not followed the same curve of progression in the computing world. Because the storage systems are so slow in comparison the processors are forced to idle while waiting for data; a potentially performance crippling condition. This performance disparity is lessened by the advent of parallel file systems. Such file systems allow data to be spread across multiple servers and disks. High speed networking allows for large amounts of bandwidth to and from the file system with relatively low latency. This arrangement allows for very large increases in sustained read and write speeds on large files although performance of the file system can be hampered if an application spends most of its time working on small data sets and files. In recent years there has also been an unprecedented forward shift in high performance I/O systems through the widespread development and deployment of NAND Flash-based solid state disks (SSDs). SSDs offer many advantages over traditional platter-based hard disk drives (HDDs) but also suffer from very specific disadvantages due to their use of Flash memory as a storage medium as well as use of a hardware
Noncontiguous operon is a genetic organization for coordinating bacterial gene expression

Significance In bacteria, functionally related genes are often cotranscribed in a single mRNA molecule under the same upstream promoter, forming a polycistronic operon unit. With this strategy, bacteria guarantee that production of all proteins related to a specific cellular process is simultaneously switched on or off. Here, we report the identification of a transcriptional organization consisting in operons that contain a gene(s) that is transcribed in the opposite direction to the rest of the genes of the operon. As a consequence, the resulting mRNA is fully complementary to the operon transcript. This genetic arrangement leads to mutual regulation of the overlapping transcripts expression and, thus, provides an additional strategy for coordinating the expression of functionally related genes within an operon. Bacterial genes are typically grouped into operons defined as clusters of adjacent genes encoding for proteins that fill related roles and are transcribed into a single polycistronic mRNA molecule. This simple organization provides an efficient mechanism to coordinate the expression of neighboring genes and is at the basis of gene regulation in bacteria. Here, we report the existence of a higher level of organization in operon structure that we named noncontiguous operon and consists in an operon containing a gene(s) that is transcribed in the opposite direction to the rest of the operon. This transcriptional architecture is exemplified by the genes menE-menC-MW1733-ytkD-MW1731 involved in menaquinone synthesis in the major human pathogen Staphylococcus aureus. We show that menE-menC-ytkD-MW1731 genes are transcribed as a single transcription unit, whereas the MW1733 gene, located between menC and ytkD, is transcribed in the opposite direction. This genomic organization generates overlapping transcripts whose expression is mutually regulated by transcriptional interference and RNase III processing at the overlapping region. In light of our results, the canonical view of operon structure should be revisited by including this operon arrangement in which cotranscription and overlapping transcription are combined to coordinate functionally related gene expression.
Estimating cod egg developmental stage based on DNA concentration

H. 2017. Estimating cod egg developmental stage based on DNA concentration. – ICES Journal of Marine Science, 75: 825–830. Pelagic egg surveys are commonly used to map Atlantic cod spawning areas in the northeastern Atlantic. However, a sampling location may not necessarily indicate a spawning location, because more developed eggs may have drifted long distances in coastal currents. Newly spawned eggs have only a few embryonic cells, whereas eggs in later developmental stages have progressively larger numbers of cells and hence greater amounts of DNA. The progression through developmental stages largely depends on temperature, which inﬂuences cell division and growth. Preservation of the eggs for later analysis presents logistical dilemmas. Preservation in ethanol is suitable for DNA extraction but obscures developmental stage, as the eggs shrink and turn opaque. On the other hand, preservation in formaldehyde retains visual characteristics, but this method limits the ability to extract intact DNA. Here we report a method to estimate developmental stages in Atlantic cod eggs by assaying the amount of DNA from eggs preserved in ethanol. We used a correlation between the amount of DNA in an egg and its embryonic developmental stage in samples from western Norway and used this correlation to estimate developmental stages of eggs sampled in northern Norway.
Programming for Linguists: Perl for Language Researchers

Preface. Acknowledgments. 1. Why Programming and Why Perl? 2. Getting Started. 3. Basics: Control Structures And Variables. 4. Input and Output. 5. Subroutines And Modules. 6. Regular Expressions. 7. Text Manipulation. 8. HTML. 9. CGI. Appendix A. Objects. Appendix B. Tk. Appendix C. Special Variables. Appendix D. Where To Find Out More. Index.
Spectral Super-Resolution with Optimized Bands

Hyperspectral (HS) sensors sample reflectance spectrum in very high resolution, which allows us to examine material properties in very fine details. However, their widespread adoption has been hindered because they are very expensive. Reflectance spectra of real materials are high dimensional but sparse signals. By utilizing prior information about the statistics of real HS spectra, many previous studies have reconstructed HS spectra from multispectral (MS) signals (which can be obtained from cheaper, lower spectral resolution sensors). However, most of these techniques assume that the MS bands are known apriori and do not optimize the MS bands to produce more accurate reconstructions. In this paper, we propose a new end-to-end fully convolutional residual neural network architecture that simultaneously learns both the MS bands and the transformation to reconstruct HS spectra from MS signals by analyzing large quantity of HS data. The learned band can be implemented in hardware to obtain an MS sensor that collects data that is best to reconstruct HS spectra using the learned transformation. Using a diverse set of real-world datasets, we show how the proposed approach of optimizing MS bands along with the transformation can drastically increase the reconstruction accuracy. Additionally, we also investigate the prospects of using reconstructed HS spectra for land cover classification.