Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiently Supporting Dynamic Task Parallelism on Heterogeneous Cache-Coherent Systems

Manycore processors, with tens to hundreds of tiny cores but no hardware-based cache coherence, can offer tremendous peak throughput on highly parallel programs while being complexity and energy efficient. Manycore processors can be combined with a few high-performance big cores for executing operating systems, legacy code, and serial regions. These systems use heterogeneous cache coherence (HCC) with hardware-based cache coherence between big cores and software-centric cache coherence between tiny cores. Unfortunately, programming these heterogeneous cache-coherent systems to enable collaborative execution is challenging, especially when considering dynamic task parallelism. This paper seeks to address this challenge using a combination of light-weight software and hardware techniques. We provide a detailed description of how to implement a work-stealing runtime to enable dynamic task parallelism on heterogeneous cache-coherent systems. We also propose direct task stealing (DTS), a new technique based on user-level interrupts to bypass the memory system and thus improve the performance and energy efficiency of work stealing. Our results demonstrate that executing dynamic task-parallel applications on a 64-core system (4 big, 60 tiny) with complexity-effective HCC and DTS can achieve: $7 \times$ speedup over a single big core; $1.4 \times$ speedup over an area-equivalent eight bigcore system with hardware-based cache coherence; and 21% better performance and similar energy efficiency compared to a 64-core system (4 big, 60 tiny) with full-system hardware-based cache coherence.
Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads

In this paper, we introduce the Tensor Streaming Processor (TSP) architecture, a functionally-sliced microarchitecture with memory units interleaved with vector and matrix deep learning functional units in order to take advantage of dataflow locality of deep learning operations. The TSP is built based on two key observations: (1) machine learning workloads exhibit abundant data parallelism, which can be readily mapped to tensors in hardware, and (2) a simple and deterministic processor with producer-consumer stream programming model enables precise reasoning and control of hardware components, achieving good performance and power efficiency. The TSP is designed to exploit parallelism inherent in machine-learning workloads including instruction-level, memory concurrency, data and model parallelism, while guaranteeing determinism by eliminating all reactive elements in the hardware (e.g. arbiters, and caches). Early ResNet50 image classification results demonstrate 20.4K processed images per second (IPS) with a batch-size of one— a $4 \times$ improvement compared to other modern GPUs and accelerators [44]. Our first ASIC implementation of the TSP architecture yields a computational density of more than 1 TeraOp/s per square mm of silicon for its $25 \times 29$ mm 14nm chip operating at a nominal clock frequency of 900 MHz. The TSP demonstrates a novel hardware-software approach to achieve fast, yet predictable, performance on machine-learning workloads within a desired power envelope.
Resistencia a las Fluoroquinolonas y Otros Antimicrobianos en Cepas de Salmonella spp. Aisladas en el Procesamiento de Pollo Entero

El objetivo de este estudio fue determinar patrones de resistencia y multirresistencia de cepas de Salmonella spp. aisladas de una planta procesadora de aves, hacia las quinolonas y fluoroquinolonas (acido nalidixico=Na, ciprofloxacina=Cf y enrofloxacina= Ex), asi como a otros antimicrobianos: tetraciclinas (T), oxitetraciclina (O), neomicina (N), nitrofurantoina (Nf), trimetoprim (Tr) y cloranfenicol (C). Un total de 146 aislamientos de Salmonella spp. fueron obtenidos de diferentes fuentes: 34 cepas provenientes de mezclas de visceras blancas (colon, ciegos) y visceras rojas (higado y bazo); 87 cepas aisladas de las canales en los procesos de desplume, eviscerado, enfriamiento y empacado; 8 cepas obtenidas de subproductos comestibles (patas, cuellos, higados y mollejas) y 19 cepas de muestras de ambientes (agua, hielo y superficies de equipos). Se utilizaron tecnicas microbiologicas convencionales, pruebas bioquimicas, serologicas y pruebas de susceptibilidad a los antibioticos por difusion en agar. Los resultados revelaron una alta resistencia para Na (73,3%; 107/146), Nf (60,2%; 88/146), T (56,2%; 82/146), O (54,8%; 80/146), Tr (54,1%; 79/146) y una menor resistencia a Ex (6.2%; 9/146), Cf (2,7%; 4/146), N (2,0%; 3/146) y C (2,5%; 4/146). Se encontro un porcentaje elevado de multirresistencia (65,0%; 95/146) y dentro de ellos, los mas notorios fueron: NaNfTTr (42,1%), NaNfTr (26,3%) y NaNfT (10,5%). No se observo relacion significativa (P mayor 0,05) entre los patrones de resistencia y multirresistencia encontrados con el origen de las diferentes cepas de Salmonella. Estos resultados evidencian el surgimiento de cepas de Salmonellas resistentes a las quinolonas y la necesidad de programas de vigilancia de resistencia antimicrobiana.
Invertebrate herbivory during the regeneration phase: experiments with a freshwater angiosperm

1 Invertebrate grazing during the regeneration phase is well known to exert a strong structuring effect in terrestrial plant communities. However, very few studies have investigated the effect of invertebrate herbivores on regenerating freshwater angiosperms, despite the obvious benefits for the development of general theories in plant community ecology. 2 Our study investigated the parameters that determine the sensitivity of the freshwater macrophyte Potamogeton pectinatus L. to herbivory by the pond snail Lymnaea stagnalis (L.). P. pectinatus was raised from winter‐collected tubers in aquatic microcosms and submitted to grazing by snails at various densities and starvation levels. 3 Newly sprouted P. pectinatus was much more sensitive to snail grazing than mature plants: survival of newly sprouted plants decreased as snail density increased, whereas the survival rate of mature plants was unaffected by snail density. Moreover, the sensitivity of newly sprouted P. pectinatus to herbivory decreased as its initial tuber mass increased. The damage to newly sprouted P. pectinatus by herbivory increased with snail starvation. However, the presence of an alternative, highly palatable, food (i.e. benthic algae) deflected feeding on P. pectinatus, even by extremely hungry snails. 4 These results demonstrate the potential structuring role exerted by gastropods during the regeneration of freshwater macrophytes, supporting results from terrestrial systems. They also suggest that regenerating plants may avoid invertebrate herbivory by modulating their intrinsic characteristics (e.g. increasing propagule size) or by emerging under favourable environmental conditions (e.g. low invertebrate density, presence of alternative food). Herbivory during the regeneration phase is therefore pivotal to our understanding of plant dynamics in aquatic as well as terrestrial ecosystems, and should be integrated into explicative models of vegetation patterns across various environments.
Advanced investigation of electrical and fluid-dynamic parameters on a nanopulsed plasma jet impinging on a liquid substrate

The contribution reports on the characterization of a cold atmospheric pressure plasma jet driven by high-voltage pulses with rise time and duration of few nanoseconds. iCCD imaging, Schlieren imaging, Optical Emission Spectroscopy (OES) are adopted for the source characterization while impinging on a liquid substrate at different distances and in different operating conditions.
Dog Breed Identification with Fine tuning of Pre-trained models

Dog Breed identification is a specific application of Convolutional Neural Networks. Though the classification of Images by Convolutional Neural Network serves to be efficient method, still it has few drawbacks. Convolutional Neural Networks requires a large amount of images as training data and basic time for training the data and to achieve higher accuracy on the classification. To overcome this substantial time we use Transfer Learning. In computer vision, transfer learning refers to the use of a pre-trained models to train the CNN. By Transfer learning, a pre-trained model is trained to provide solution to classification problem which is similar to the classification problem we have. In this project we are using various pre-trained models like VGG16, Xception, InceptionV3 to train over 1400 images covering 120 breeds out of which 16 breeds of dogs were used as classes for training and obtain bottleneck features from these pre-trained models. Finally, Logistic Regression a multiclass classifier is used to identify the breed of the dog from the images and obtained 91%, 94%,95% validation accuracy for these different pre-trained models VGG16, Xception, InceptionV3.
ENZYMATIC TREATMENT OF PALM KERNEL CAKE IMPROVES INTESTINAL HEALTH, GUT MICROBIOTA AND IMMUNE SYSTEM OF BROILERS

Palm kernel cake is a very important agro-industrial by-product from the production of palm kernel oil. It contains a lot of nutrients needed by chicken for growth and productivity but this potential is hindered because of the presence of mannan and other anti-nutritional factors. Mannans are made up of simple sugar D-mannose. Mannans comprise of a linear backbone of mannose residues joined by β-1, 4-mannosidic linkages comprising glucomannan, galactomannan and galactoglucomannan depending on carbohydrates or acid substitutions in the backbone. Enzymes have the ability to degrade this mannan component in order to make the nutrients available to the animals. Mannanoligosaccharides improve the development of small intestine of chicks during preand post-hatch periods, increasing the villi height, crypt depth and number of goblet cells per villus on the day of hatch. The activities of these enzymes help in increasing the population of beneficial microorganisms residing in the gastrointestinal tract of chicken. The surge in the beneficial microorganisms residing in the gastrointestinal region of chicken helps in boosting their immune system. Feeding palm kernel cake promotes growth and prevents diseases by boosting the immune system of broilers.
Quantifying surface‐area changes of volcanic islands driven by Pleistocene sea‐level cycles: biogeographical implications for the Macaronesian archipelagos

We assessed the biogeographical implications of Pleistocene sea‐level fluctuations on the surface area of Macaronesian volcanic oceanic islands. We quantified the effects of sea‐level cycles on surface area over 1000‐year intervals. Using data from the Canarian archipelago, we tested whether changes in island configuration since the late Pleistocene explain species distribution patterns.
Available through Online

Any sort of Internet and database application efficiency depends on good query base. In order to improve processing performance the cache utilization play a vital role by acting as auxiliary unit and provide associate services to processor . Various existing techniques about cache optimal utilization for the past two to three decades discussed about only the indexing, architectural view, address mapping mechanism, few concentrated cache only on needy base, In general as information retrieval among user applications as sample pharmacy or hospital relevant data in timely need plays high importance . considering this aspect in order to find a way to improve efficiency among query processing in this paper a detailed survey and investigation was made about the cache utilization in query processing at various levels and come out with the resultant as how the semantic cache enhanced as CoopSc( cooperative semantic database architecture) and how it can be collaborated in a cooperative way intelligently in large scale applications over p2p ,distributed and cloud environments in an optimal way.
MODERN STATISTICAL AND LINGUISTIC APPROACHES TO PROCESSING TEXTS IN NATURAL LANGUAGES

Natural language processing (NLP) is a research area that focuses on studying the methods of computer analysis and synthesis of natural languages. The sources of information can include not only texts, but also audio and video data. In this article, we will focus on text mining. The analysis is divided into the following subtasks: information extraction, tonality analysis, question-answer systems, etc. In turn, information extraction also includes subtasks: named entity recognition (NER), relation extraction, extraction of keywords and word combinations (collocations). The methods of NLP are divided into linguistic (based on rules and grammars) and probabilistic; there are also hybrid methods that combine both approaches. The aim of this paper is to provide an overview of modern approaches to text processing using the example of the tasks of named entities recognition and identifying the relationships between them.
Renal tubular Bim mediates the tubule-podocyte crosstalk via NFAT2 to induce podocyte cytoskeletal dysfunction

Diabetic nephropathy (DN) is mainly regarded as diabetic glomerulopathy, and its progression is tightly correlated with tubular epithelial lesions. However, the underlying molecular mechanisms linking tubular damage and glomerulopathy are poorly understood. Methods: We previously reported that the upregulation of Bim mediated proximal tubular epithelial cell (PTEC) apoptosis and was crucial in the early stages of DN. Herein we modulated Bim expression in PTECs and subsequently determined podocyte (PC) cytoskeletal arrangement by building a Transwell co-culture system in high glucose (HG). Results: Compared to normal glucose, exposure to 40 mM of HG for 48 h induced significant expression of Bim in PTECs and disorganization in the PC cytoskeleton. When cocultured with PTECs in HG, exacerbated filamentous actin (F-actin) rearrangement and reduced synaptopodin levels were detected in PCs. In contrast, gene knockdown of Bim in PTECs was correlated with the absence of PC cytoskeletal disorganization. NFAT2 level and its nuclear translocation in PTECs were decreased by suppressing Bim expression. Upregulating NFAT2 disrupted the beneficial effects on F-actin organization in PCs obtained by inhibiting Bim. LncRNA microarray analysis identified NONHSAT179542.1, which was implicated in Bim-mediated PC cytoskeletal disorder. Conclusion: Our study clarified the functional role of Bim, a pro-apoptotic factor, which is involved in the crosstalk between PTECs and PCs. Bim promotes NFAT2 activation in PTECs, inducing the downregulation of lncRNA NONHSAT179542.1 in PCs, contributing to the cytoskeletal damage. Identification of the role of the Bim/NFAT2 pathway may represent a promising research direction for a better understanding of DN development.
Essential Oil Composition and AndmicrobialAcdvity of Rosmarinus tournefortii De Noe., an Endemic Species in Morocco

Abstract This study was designed to investigate for the first time the essential oil of the leaves of wild growing Rosmarinus tournefortii De Noe endemic in Morocco in order to find new bioactive natural products. The essential oil obtained by hydrodistillation was characterized by capillary gas chromatography-mass spectrometry. Ten components, representing 70 % of the total oil, were identified, and unidentified compounds made up 21.6 % of the oil were also present. The oil was screened for antimicrobial activity against both Gram positive (Staphylococcus aureus, Enterococcus hirae) and Gram negative (Escherichia coli, Pseudomonas aeruginosa) bacteria and a pathogenic fungus Candida albicans. Except for P. aeruginosa, the oil had pronounced antibacterial and antifungal activities.
Optimisation of cross-section of actively bent grid shells with strength and geometric compatibility constraints

The use of bending as self forming process allows the realization of shape-resistant systems, such as grid shell structures. Here, a numerical method for optimisation of the cross-section of actively bent structures is introduced. For a given load distribution, the optimisation objective consists of normalizing the bending stresses to a given value on the entire structure. In addition, strength and geometric compatibility constraints are taken into account. The method is demonstrated by numerical examples. Further, in order to handle the large displacements involved, a co-rotational Finite Element formulation is adopted and modified to take into account the changes in stiffness that occur in the forming process of active bending systems. The modified co-rotational formulation is solved for static equilibrium using a Dynamic Relaxation scheme, and is tested against the analytical solutions of some preliminary test cases, as well as experimental results, and shown to be ‘accurate’.
Re-examining the Relationship between Degree of Relatedness, Genetic Effects, and Heterosis in Maize

The dominance hypothesis is one of two major genetic hypotheses that have been proposed regarding heterosis in maize (Zea mays L.). This study examines two underlying tenets of the dominance hypothesis: (i) Dominant gene action must occur at many loci in order for heterosis to be expressed; and (ii) genetic diversity is a good predictor of heterosis (i.e., differences in gene frequency are required for the expression of heterosis). To examine these tenets, we used a unique set of genetic materials, sister-line inbred lines. Sister-line inbred lines are highly related inbred lines that are derived from a common parental cross. Three sets of six sister lines were used in this study, ranging between 47 and 77% identical-by-descent (IBD), creating a series of lines that potentially vary in gene frequency. The sister lines were mated using a partial diallel to form sister-line hybrids. The sister-line hybrids and the parental inbred lines were evaluated in replicated yield trials for grain yield, grain moisture, broken stalks, and test weight in fi ve environments. The genotypic variance was partitioned using Gardner and Eberhart’s Analysis III to examine additive and nonadditive genetic effects. Three relevant fi ndings regarding heterosis for grain yield can be drawn from our results: Substantial genomewide heterozygosity is not a requirement for the expression of heterosis, there is not a consistent relationship between degree of relatedness and the magnitude of heterosis, and the presence of nonadditive genetic effects is not a requirement for the manifestation of heterosis.
Implication des virus dans la sclérose en plaques

La sclerose en plaques est une maladie inflammatoire du systeme nerveux central, resultat d'une attaque immunitaire suivie d'une destruction de la gaine de myeline qui enrobe normalement les fibres nerveuses. Bien que la cause de la maladie nous echappe toujours, il est clair qu'elle implique a la fois une susceptibilite genetique et des facteurs lies a l'environnement, probablement infectieux. Une quinzaine de virus ont ete associes a la sclerose en plaques, sans qu'un candidat plus convaincant que les autres s'impose. Les coronavirus sont parmi les derniers en liste, fournissant depuis plusieurs annees chez la souris l'un des modeles les plus interessants d'une maladie virale rassemblant plusieurs des caracteristiques de la sclerose en plaques. L'hypothese virale de la maladie demeure raisonnable mais il est peu probable qu'un seul virus soit en cause. En effet, plusieurs virus pourraient declencher la maladie par un mecanisme commun d'induction de reactions auto-immunitaires chez des personnes genetiquement susceptibles. Les programmes de vaccination contre la rougeole, la rubeole et les oreillons feront-ils diminuer l'incidence de la sclerose en plaques ?
Effects of a mucilage event on the Mediterranean gorgonian Paramuricea clavata. I - Short term impacts at the population and colony levels

Abstract A Paramuricea clavata population thriving between 29 and 39 m depth on a shoal at the northern entrance to the Strait of Messina (Tyrrhenian Sea) was affected by mucilage coverage at the end of summer 1993. Mucilage became entangled in projecting branches and necrotized the coenenchyme below, leaving the axial skeleton bare. The entire population was heavily affected, extent of injuries being negatively correlated with size of colonies. Colony size, scale and location of damage were related to successful regeneration after six months. Smaller colonies showed a higher mortality, while colonies with over 50–60% of their total branch length damaged were overgrown by invaders and died. The extent of injuries in the central part of the colony was found to be a critical parameter in determining colony regrowth. A number of injured colonies grew during the six months following the disappearance of mucilage, which shows that their regrowth was apparently not influenced by stress due to mucilage.
Anthocyanins, Phenols, and Antioxidant Activity of Sour Cherry Puree Extracts and their Stability During Storage

In this study, influence of the types of solvent and extraction time on the anthocyanins, polyphenols, and flavonoids content, and antioxidant activity of the extracts from sour cherry puree was investigated. Water, methanol, and ethanol, as well as those acidified solvents (with hydrochloric and acetic acid) were used. Extraction time was 1, 3, or 24 h at room temperature. Stability of the obtained extracts was monitored trough 42 days of storage at room temperature and at 4°C. The most efficient extraction solvent for anthocyanin, phenol, and flavonoid was methanol acidified with hydrochloric acid. The highest content of investigated compounds was observed after one hour extraction, except in the case of phenols, where prolongation of extraction time enhanced extraction of above mentioned compounds. During storage of samples, anthocyanins, total phenols, flavonoids contents, and antioxidant activity decreased, while the percentage of polymeric color increased.
Translating from DCN to NDL and back again

The topology descriptions used at Internet2 are provided in an XML format for use in the Dynamic Circuit Network suite. The topology descriptions developed by the University of Amsterdam is the Network Description Language. In August and September 2009 Jeroen van der Ham worked at Internet2 on the translation of topology descriptions. This report describes some of the findings in creating this translation.
A Secure Job & Demand Based Steganography

Steganography is the science of hiding information. Whereas the goal of cryptography is to make data unreadable by a third party, the goal of steganography is to hide the data from a third party. In this article, I will discuss what steganography is, what purposes it serves on and will illustrate distributed framework based on job based architecture, on which a logical transparent steganographic layer is developed and have related work on steganography and its anatomy is semantically studied and broken down into some independent services which are allocated on a network infrastructure. This structure not only distributes the overall load of the process, it also considers some important system attributes such as reusability, simplicity, outsourcing, maintainability, flexibility and availability. Because of the open structure of the system, varieties of steganography algorithms can be supported for varieties of secrets, according to an evaluation strategy which is also considered as a service on the network. To clarify the proposed approach, the related ADL model together with an example scenario is expressed.