Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of Modeling for Scalable and Monitorable Network on Chip

The performance of multiple processor based on Network on Chip (NoC) is limited to the communication efficiency of network. It is difficult to be optimized of routing and arbitration algorithm and be assessed of performance in the beginning of design because of its complex test cases. This paper constructs a scalable and monitored system level model with SystemC for NoC with Packet Connected Circuit (PCC) protocol. The overall performance and transfer details can be evaluated particularly by running the model, and the statistical basis can also be provided to the optimization of designing NoC.
Running Head: ENHANCING SCIENCE GENERIC SKILLS IN VOCATIONAL SCHOOL International*Conference*on*Language,*Innovation,*Culture*and*Education**

Vocational secondary school was designed to help students quickly enter the workforce with hands-on training based on generic science skills. The four generic science skills that will be addressed in this study include: symbolic functioning and language, logical consistency, mathematical modeling and concept formation. This paper presents a model of generative learning for examining and investigating how effective this model related to generic science skills in physics. The independent variable in this study is the generative learning model while the dependent variables are generic science skills in physics. The design study that was used in one group was the pretest-post-test design. The data was collected from students (N = 33) grade 10 from a vocational secondary school who adopted a learning process through the generative learning model. Descriptive analysis showed an average score on students’ generic science skills test of 6.09 with a deviation standard of 2.55 before using the generative learning model. After the use of generative learning, the score was 16.48 with a deviation standard of 2.62. The results showed with N-Gain of 0.60. These findings suggest that the generative learning model can enhance generic science skills in vocational secondary school level.
CROSS-BORDER M&A AND FIRM VALUE: EVIDENCE FROM CHINESE ACQUISITIONS OF JAPANESE FIRMS

We study the effect of mergers and acquisitions by Chinese acquirers of Japanese targets (China-Japan M&As) on the firm value. Using the data on China-Japan M&As in 1990-2009, we find that ChinaJapan M&As show a greater positive effect on stock prices for the targets than for the acquirers. We also observe the following tendencies: 1) the lower the management efficiency of the target is, the greater the market reactions are; 2) a bailout M&A generates greater market reactions for targets than does a non-bailout M&A; 3) capital participation imparts greater market reactions for the target than occur with other forms of M&A; and 4) targets experience smaller market reactions from the subsidiary sales than occur with other forms of M&A. ***** JEL classification: G32; G34
Riffle and pool fish communities in a large stream of southeastern Brazil

The structure of the fish communities of a pool and a rapid in the ribeirao Santa Barbara is described. This stream of 5 th order is a direct tributary of the rio Tiete in the system of the upper rio Parana. Thirty three species, from nine families and three orders, were referred in the two mesohabitats: the pool with 31 species, and the rapid with 18. Orders Characiformes, Siluriformes, and Perciformes presented the greatest number of species in the two mesohabitats. The families Characidae and Loricariidae were the most specious, followed by Cichlidae in the pool, and by Parodontidae in the rapid. Most species were accidental, 17 in the pool, and 10 in the rapid, and only six were constant in the two mesohabitats. The greatest diversity and evenness occurred in the pool. The seasonal variation for both assemblages was high, with the pool having a high turnover of species that could be due to the proximity with main channel of the rio Tiete. A estrutura das comunidades de peixes de um poco e uma corredeira do ribeirao Santa Barbara e descrita. Esse e um ribeirao de quinta ordem, afluente direto do rio Tiete no sistema do Alto rio Parana. Trinta e tres especies, de nove familias e tres ordens, foram capturadas nos dois meso-habitats: 31 no poco e 18 na corredeira. Characiformes, Siluriformes e Perciformes apresentaram o maior numero de especies nos dois meso-habitats. As familias Characidae e Loricariidae foram as mais ricas em especies, seguidas por Cichlidae, no poco, e por Parodontidae, na corredeira. A maioria das especies foi acidental, 17 no poco e dez na corredeira; somente seis especies foram constantes nos dois meso-habitats. As maiores diversidade e uniformidade ocorreram no poco. A variacao sazonal no poco e na corredeira foi alta, com o poco apresentando uma grande substituicao de especies, que pode ser devida a proximidade com o canal principal do rio Tiete.
Enhancing the cosmic shear power spectrum

Applying a transformation to a non-Gaussian field can enhance the information content of the resulting power spectrum, by reducing the correlations between Fourier modes. In the context of weak gravitational lensing, it has been shown that this gain in information content is significantly compromised by the presence of shape noise. We apply clipping to mock convergence fields, a technique which is known to be robust in the presence of noise and has been successfully applied to galaxy number density fields. When analysed in isolation the resulting convergence power spectrum returns degraded constraints on cosmological parameters. However, substantial gains can be achieved by performing a combined analysis of the power spectra derived from both the original and transformed fields. Even in the presence of realistic levels of shape noise, we demonstrate that this approach is capable of reducing the area of likelihood contours within the Ωm − σ8 plane by more than a factor of 3.
Polyphenols derived from four indigenous Indian fruits for cancer chemoprevention and chemotherapy

Cancer is one of the major causes of death worldwide, including developing and underdeveloped nations. Mortality and morbidity data suggest that incidences are higher than those of the cardiovascular diseases. High cost and occurrence of numerous side and adverse effects associated with conventional anticancer regimes has necessitated shifting the focus towards the practice of traditional alternative and complementary medicine. Emerging evidence on the beneficial link of dietary components with lower cancer occurrence has been instrumental in determining the course of cancer-related studies. Consumption of fruits rich in polyphenols has proven to inhibit the process of carcinogenesis and tumor growth, with positive outcomes in terms of survival and quality of life of the patient and thus should be encouraged to combat cancer. The objective of the present review is to highlight the underlying mechanisms of apoptosis induced by the different polyphenolic constituents in four Indian fruits, namely litchi, Indian gooseberry, Indian blackberry and Ziziphus jujube. However, it must be kept in mind that benefits of consuming fruits rich in polyphenols should not be over-judged through food fortification or supplementation with these active principles. Conclusive evidence of the beneficial effects is yet to come through future studies in humans since most of the data have been obtained from in vitro studies. Key words: Polyphenols, flavonoids, anthocyanins, tannins, antioxidant, apoptosis, chemopreventive, chemotherapeutic.
Preserving Born Digital Art: Lessons From Artists’ Practice

This article looks at the complex nature of developing effective and appropriate strategies for the preservation of born digital art, in particular networked art. These issues are approached from the perspective of artist practitioners as it is suggested that any preservation strategy begins with artists, with the conservation practices that are inculcated into the very act of creation. This article proposes that this necessitates institutional digital art conservation initiatives originating from a pre-existing culture of preservation within digital art communities. Color versions of one or more of the figures in the article can be found online at www.tandfonline. com/rinn
Do Bilateral Tax Treaties Promote Foreign Direct Investment?

We explore the impact of bilateral tax treaties on foreign direct investment using data from OECD countries over the period 1982-1992. We find that recent treaty formation does not promote new investment, contrary to the common expectation. For certain specifications we find that treaty formation may actually reduce investment as predicted by arguments suggesting treaties are intended to reduce tax evasion rather than promote foreign investment.
A computational study of visual template identification in theSAIM: a free energy approach

This thesis aims to understand how humans could recognize and identify objects. Our main method for doing so is developing a computational model of recognition/ identification process. This work will account for the process of visual object identification which usually takes place in multiple environments including various objects. Since we assumed that visual selective attention is central in disambiguating of objects, the results of our work will include an implementation of what visual selective attention does. Initially this thesis will draw on two successful approaches to human information processing. On one hand, we will base our work on the Selective Attention for Identification model(SAIM). The SAIM combines visual selective attention and object recognition. On the other hand, I will use the "Free Energy" approach proposed by Karl Friston to implement the fundaments of SAIM and expand it by incorporating an identification process. We will then reason for our cliam that holds that perceptual recognition, attention and identification minimizes the "surprise" (prediction error) about incoming sensory signals (Friston, 2006). It will be demonstrated that identification process would lead to an unsupervised extraction of object templates (prior beliefs about the causes of sensory input) from a series of multiple visual scenes to execute a successful object recognition task. At the end of our work, we would test our model by doing a series of computational experiments which are performed in Matlab environment consisted of various neural networks.
Diagnostic role of fine needle aspiration cytology (FNAC) in a case of extraskeletal myxoid chondrosarcoma (EMC)

Introduction: Extraskeletal myxoid chondrosarcoma (EMC) is a rare cartilage tumor comprising 1% to 3% in all soft tissue malignancies. Limited literature available on its cytological features and the diagnostic modality of FNAC. Here, we report a rare case of extraskele right waist, rapidly increasing in size and pain since 2 months to present with size of 25x25x10 cm, firm to hard, for which FNAC done. X-ray showed in Aspirate showed uniform cells of small to medium size, arranged in chords and clusters embedded in abundant myxoid background. In view of clinical history and radiology, cytological diagnosis of extraskele suggested and confirmed by histopathology. to be distinguished from other chondromyxoid soft tissue swellings. rural based hospital devoid of adequate radiological support, immunohistochemistry and other ancillary techniques.
Does the mass distribution in discs influence encounter-induced losses in young star clusters?

Context. One mechanism for the external destruction of protoplanetary discs in young dense clusters is tidal disruption during the flyby of another cluster member. The degree of mass loss in such an encounter depends, among other parameters, on the distribution of the material within the disc. Previous work showed that this is especially so in encounters that truncate large parts of the outer disc. The expectation is that the number of completely destroyed discs in a cluster also depends on the mass distribution within the discs. Aims. Here we test this hypothesis by determining the influence of encounters on the disc fraction and average disc mass in clusters of various stellar densities for di erent mass distributions in the discs. Methods. This is done by performing nbody6 simulations of a variety of cluster environments, where we track the encounter dynamics and determine the mass loss due to these encounters for di erent disc-mass distributions. Results. We find that although the disc-mass distribution has a significant impact on the disc losses for specific star-disc encounters, the overall disc frequency generally remains una ected. The reason is that in single encounters the dependence on the mass distribution is strongest if both stars have very di erent masses. Such encounters are rather infrequent in sparse clusters. In dense clusters these encounters are more common; however, here the disc frequency is largely determined by encounters between low-mass stars such that the overall disc frequency does not change significantly. Conclusions. For tidal disruption the disc destruction in clusters is fairly independent of the actual distribution of the material in the disc. The all determining factor remains the cluster density.
Recent floods in the Middle Ebro River, Spain: hydrometeorological aspects and floodplain management

Abstract. The Ebro River has the largest Mediterranean basin in the Iberian Peninsula and the third one by surface among those of the Mediterranean Sea. The middle stretch of this river is especially interesting because it constitutes a very economically important axis of population in a semi-arid environment context. Flooding processes are common in the Middle Ebro River, but the combination among decrease of discharges, dam construction and expansion and reinforcement of defences created an unusually quiet period as regards flooding events during the last quarter of the previous century. Nevertheless, with the turn of the century it seems that the Middle Ebro River has entered into new dynamics, with bigger and more frequent floods, the appearance of which has changed its seasonal nature. The most relevant examples are those of February 2003 and March–April 2007. The present paper examines these recent trends and discusses their possible causes from the points of view of hydro-meteorology, flood management through the use of reservoirs, and floodplain management. The consequences of recent floods in the Middle Ebro River have reopened the debate about possible risk management measures.
Short-term prediction of air pollution in macau using support vector machines

Forecasting of air pollution is a popular and important topic in recent years due to the health impact caused by air pollution. It is necessary to build an early warning system, which provides forecast and also alerts health alarm to local inhabitants by medical practitioners and the local government. Meteorological and pollutions data collected daily at monitoring stations of Macau can be used in this study to build a forecasting system. Support vector machines (SVMs), a novel type of machine learning technique based on statistical learning theory, can be used for regression and time series prediction. SVM is capable of good generalization while the performance of the SVM model is often hinged on the appropriate choice of the kernel.
EXTRAGALACTIC STAR-FORMING GALAXIES WITH HYPERNOVAE AND SUPERNOVAE AS HIGH-ENERGY NEUTRINO AND GAMMA-RAY SOURCES: THE CASE OF THE 10 TeV NEUTRINO DATA

In light of the latest IceCube data, we discuss the implications of the cosmic ray (CR) energy input from hypernovae (HNe) and supernovae (SNe) into the universe, and their propagation in the hosting galaxies and galaxy clusters or groups. The magnetic confinement of CRs in these environments may lead to efficient neutrino production via pp collisions, resulting in a diffuse neutrino spectrum extending from PeV down to 10 TeV energies, with a spectrum and flux level compatible with that recently reported by IceCube. If the diffuse 10 TeV neutrino background largely comes from such CR reservoirs, the corresponding diffuse γ-ray background should be compatible with the recent Fermi data. In this scenario, the CR energy input from HNe should be dominant over that of SNe, implying that the starburst scenario does not work if the SN energy budget is a factor of two larger than the HN energy budget. Thus, this strong case scenario can be supported or ruled out in the near future.
Original Article Antibacterial potential of plant crude extracts against Gram negative fish bacterial pathogens

The development of aquaculture is hindered by the occurrence of outbreaks of bacterial diseases. Currently, outbreaks of bacterial diseases in aquaculture are commonly treated using antibiotics. However, many fish bacterial pathogens have now reported resistance to many of these antibiotics. Hence, the search for new treatment is urgently needed particularly those which are non-therapeutic in nature and environmental friendly. In the present study, 52 plant species which are available locally were analyzed for their antibacterial activities against 12 aquaculture Gram negative bacterial pathogens by using the disc diffusion method. The finding of the study showed 20 of the plant species exhibited antibacterial activity. However, based on the diameter of inhibition zone and the number of bacteria inhibited, only betel (Piper betle), stonebreaker (Phyllanthus ninuri), and clove (Syzygium aromaticum) exhibited the strongest and broadest spectrum of bacterial inhibition. Nonetheless, the antibacterial activity of the crude extract in those three plants can be affected by prolonged light exposure which explains photosensitive nature of the chemical components contained in the extracts. Such features are advantageous in aquaculture because it allows the chemicals to be easily degraded over a short period of time and guarantees no accumulation in the natural environment. However, these plant based chemicals are required to go through a thorough toxicity analyses before they can be safely applied to aquaculture animals.
The Emerging Significance of Values Based Leadership: A Literature Review

The emergence of the 21 century was plagued with extensive, evasive and disheartening leadership failures. Moral and ethical deficiencies were prevalent in many charismatic, dynamic and seemingly transformational leaders that had risen to prominence in both the public and private sectors. In response, leadership and management theorists began to place a renewed emphasis on the importance of ethics and morality in exemplary leaders, and a plethora of values based leadership (VBL) theories emerged. VBL behaviors are styles that have a moral, authentic and ethical dimension. This study examines the prevailing literature and research on the various constructs rooted in VBL. It identifies three constructs: (a) authentic (Avolio & Gardner, 2005; Gardner, Avolio, Luthans, May, & Walumbwa, 2005; George, 2003; Luthans & Avolio, 2003), (b) ethical (Brown et al., 2005), and transformational leadership (Bass, 1985; Bass, 1990; Bass & Avolio, 1990; Bass & Steidlmeier, 1999) that are considered the most emphasized behaviors in the VBL literature and examines the literature streams and progression of research for each of these VBL theories. The study identifies literature that supports that when these VBL behaviors are found in leaders, the leaders are evaluated as more effective by subordinates. The purpose is to provide a summary of the seminal VBL literature to date and provide recommendations for future research and study.
Trace element geochemistry (Li, Ba, Sr, and Rb) using Curiosity's ChemCam: Early results for Gale crater from Bradbury Landing Site to Rocknest

The ChemCam instrument package on the Mars rover, Curiosity, provides new capabilities to probe the abundances of certain trace elements in the rocks and soils on Mars using the laser‐induced breakdown spectroscopy technique. We focus on detecting and quantifying Li, Ba, Rb, and Sr in targets analyzed during the first 100 sols, from Bradbury Landing Site to Rocknest. Univariate peak area models and multivariate partial least squares models are presented. Li, detected for the first time directly on Mars, is generally low (<15 ppm). The lack of soil enrichment in Li, which is highly fluid mobile, is consistent with limited influx of subsurface waters contributing to the upper soils. Localized enrichments of up to ~60 ppm Li have been observed in several rocks but the host mineral for Li is unclear. Bathurst_Inlet is a fine‐grained bedrock unit in which several analysis locations show a decrease in Li and other alkalis with depth, which may imply that the unit has undergone low‐level aqueous alteration that has preferentially drawn the alkalis to the surface. Ba (~1000 ppm) was detected in a buried pebble in the Akaitcho sand ripple and it appears to correlate with Si, Al, Na, and K, indicating a possible feldspathic composition. Rb and Sr are in the conglomerate Link at abundances >100 ppm and >1000 ppm, respectively. These analysis locations tend to have high Si and alkali abundances, consistent with a feldspar composition. Together, these trace element observations provide possible evidence of magma differentiation and aqueous alteration.
Unsupervised detection of salt marsh platforms : a topographic method.

Abstract. Salt marshes filter pollutants, protect coastlines against storm surges, and sequester carbon, yet are under threat from sea level rise and anthropogenic modification. The sustained existence of the salt marsh ecosystem depends on the topographic evolution of marsh platforms. Quantifying marsh platform topography is vital for improving the management of these valuable landscapes. The determination of platform boundaries currently relies on supervised classification methods requiring near-infrared data to detect vegetation, or demands labour-intensive field surveys and digitisation. We propose a novel, unsupervised method to reproducibly isolate salt marsh scarps and platforms from a digital elevation model (DEM), referred to as Topographic Identification of Platforms (TIP). Field observations and numerical models show that salt marshes mature into subhorizontal platforms delineated by subvertical scarps. Based on this premise, we identify scarps as lines of local maxima on a slope raster, then fill landmasses from the scarps upward, thus isolating mature marsh platforms. We test the TIP method using lidar-derived DEMs from six salt marshes in England with varying tidal ranges and geometries, for which topographic platforms were manually isolated from tidal flats. Agreement between manual and unsupervised classification exceeds 94 % for DEM resolutions of 1 m, with all but one site maintaining an accuracy superior to 90 % for resolutions up to 3 m. For resolutions of 1 m, platforms detected with the TIP method are comparable in surface area to digitised platforms and have similar elevation distributions. We also find that our method allows for the accurate detection of local block failures as small as 3 times the DEM resolution. Detailed inspection reveals that although tidal creeks were digitised as part of the marsh platform, unsupervised classification categorises them as part of the tidal flat, causing an increase in false negatives and overall platform perimeter. This suggests our method may benefit from combination with existing creek detection algorithms. Fallen blocks and high tidal flat portions, associated with potential pioneer zones, can also lead to differences between our method and supervised mapping. Although pioneer zones prove difficult to classify using a topographic method, we suggest that these transition areas should be considered when analysing erosion and accretion processes, particularly in the case of incipient marsh platforms. Ultimately, we have shown that unsupervised classification of marsh platforms from high-resolution topography is possible and sufficient to monitor and analyse topographic evolution.