Miracle-dz/UniFAR-FTUs huggingface dataset:
CS 2019.02.01.26-Bionatura

The process of angiogenesis is regulated by several growth factors, the most important factor is VEGF which is an important mediator because it facilitates the growth of blood vessels and the remodeling processes. In addition, angiogenesis is significantly involved in tumor progression giving the tumor the necessary supplies for its survival and thus causing metastases in other organs by providing a site of entry to the circulation of vessels blood. The objective of this review is to reflect the fundamental role that angiogenesis has in the development and spread of cancer through vascular endothelial growth factor, its receptors, and its signaling pathways. On the other hand, antiangiogenics strategies (angiogenesis inhibitors) are proposed to fight cancer and clinical trials are presented to verify the survival range of patients who have been treated with anti-angiogenic therapy.
INCREASING INCIDENCE OF MULTIDRUG RESISTANCE AMONG CA SKIN AND SOFT TISSUE INFECTIONS INCREASING INCIDENCE OF MULTIDRUG RESISTANCE AMONG CA SKIN AND SOFT TISSUE INFECTIONS: A CASE SERIES INCREASING INCIDENCE OF MULTIDRUG RESISTANCE AMONG CA-MRSA CAUSING : A CASE SERIES

Human commensal Staphylococcus aureus has become one of the important reason of skin and soft tissue infections (SSTIs) today. Among them methicillin resistant aureus (MRSA) play significant role in these SSTIs and some of them are becoming multidrug resistant. Although multidrug resistant strains of these MRSA isolates are more prevalent in healthcare associated skin and soft tissue infections (SSTIs) but now a days they are increasingly reported in those SSTIs that are associated with community settings. Here we presented a case series about increasing incidence of multidrug resistance among CA-MRSA causing skin and soft tissue infections (SSTIs). (MRSA) play significant role in these SSTIs and some of them are becoming multidrug resistant. Although multidrug resistant strains of these MRSA isolates are more prevalent in healthcare associated skin and soft tissue infections (SSTIs) but now a days hey are increasingly reported in those SSTIs that are associated with community settings. Here we presented a case series about increasing incidence of multidrug resistance among MRSA causing skin and soft tissue infections (SSTIs).
Semantic headedness and categorisation of -cum-compounds

Compounds such as actress-cum-model , pub-cum-hotel or military-cum-religious represent mainly an alternative construction to coordinative compounds of the singer-songwriter type. Although most of them are double-headed, some can show semantic left-headedness. We have detected six main semantic groups out of a corpus of 300 types of -cum- nominal compounds. They correspond, in descending order of frequency, to people’s professional or leisure activities; buildings, rooms, and other places; literary and audio-visual genres; pieces of furniture, clothes, and other objects; abstract nouns; and toponyms, and anthroponyms. Under the heading “People”, we consider two main subheadings: team-sports players and antonymous occupations or functions.
Android-based customizable media crowdsourcing toolkit for machine vision research

Smart devices have become more complex and powerful, increasing in both computational power, storage capacities, and battery longevity. Currently available online facial recognition databases do not offer training datasets with enough contextually descriptive metadata for novel scenarios such as using machine vision to detect if people in a video like each other based on their facial expressions. The aim of this research is to design and implement a software tool to enable researchers to collect videos from a large pool of people through crowdsourcing means for machine vision analysis. We are particularly interested in the tagging of the videos with the demographic data of study participants as well as data from custom post hoc survey. This study has demonstrated that smart devices and their embedded technologies can be utilized to collect videos as well as self-evaluated metadata through crowdsourcing means. The application makes use of sensors embedded within smart devices such as the camera and GPS sensors to collect videos, survey data, and geographical data. User engagement is encouraged using periodic push notifications. The collected videos and metadata using the application will be used in the future for machine vision analysis of various phenomena such as investigating if machine vision could be used to detect people’s fondness for each other based on their facial expressions and self-evaluated post-task survey data.
High strength wastewater treatment process simulation

Researchers and engineers are continuously striving to enable quicker and more individualized wastewater treatment processes control solutions for the development of process models, which is a long procedure with calibration and validation, and online data supply as they are dynamic systems introducing another level of sophistication (Sen and Randall, 2008). The existing mathematical wastewater treatment models give a forecast for treatment results under various flow and pollutant circumstances, but results still are dissatisfactory due to the changeable dynamics of pollutants, which affects the treatment systems directly. The investigation was done for an existing pharmaceutical factory wastewater treatment plant with a moving bed biofilm reactor(MBBR) process, which offers the specific advantages of the biofilm system in the treatment of high strength wastewater. The basic research was undertaken to verify a model and investigate the biodegradable and slowly biodegradable COD fraction variations influence on the model’s results.
Investigating the Mechanism of UBR-1, an Arg/N-end Rule Pathway E3 Ligase that Modulates Caenorhabditis elegans Motor Behaviour

The Arg/N-end rule pathway regulates protein half-lives in eukaryotes. UBR-1 E3 ligase serves as a substrate recognition component of this pathway in C. elegans, which recognizes N-terminal degradation signals of substrates and mediates their ubiquitination. The functional loss of UBR-1 results in a unique motor defect: animals’ posterior body fails to establish normal bending due to synchronized A-type motor neuron activation during backward locomotion. This motor defect was found to be caused by aberrant glutamate metabolism. Specifically, removing a glutamate synthesizing enzyme GOT-1 could restore ubr-1 mutants’ bending during reversals. Locomotory patterns are regulated by sensorimotor circuits. These findings connect aberrant glutamate levels with neural circuit dysfunction in the UBR-1-dependent modulation of motor outputs. Extending from these findings, my studies further reveal UBR-1’s main sites of action to be premotor interneurons that regulate backward locomotion. Results of my studies help decipher a physiological role of UBR-1 in the nervous system.
Advances in Trust Research: Artificial Intelligence in Organizations Mini track

Within the Conference on System Sciences (HICSS), we organize for the fifth time a mini track on ‘ Advances in Trust Research ’ , this year addressing ‘ Artificial Intelligence in Organizations ’ . Through the presentation of four papers and an open discussion, the mini-track participants will debate trust and AI in contexts such as AI-mediated work relations, anthropomorphism of AI chatbot, and AI enabled CRM in e-commerce.
Emotion, protest, democracy: Collective identities in contemporary Spain

‘How can we conceive of political subjectivity which has its roots (and expressions) in affect? ’ (p. 38). This question is central to Emmy Eklundh’s new book that explores the case of the Indignados and Podemos – an anti-establishment social movement that rose in Spain in 2011 in the aftermath of the 2008 financial crisis, and a left-wing party founded in 2014 that claims to be the movement’s ‘principal political expression’ (Iglesias 2015, p. 10). Eklundh describes both as ‘emotional political subjects’, whose identities are constituted by the ‘visceral ties’ that ‘are primarily to be found within the aesthetic, spatial, and silent manifestations of protest’ (p. 11). She argues that such emotional subjects should be fully recognized as proper political actors (pp. xiii, 13, 235–238). The book breaks radically with the rationalistic tradition in social movement theory that goes all the way back to the classical works of Max Weber and Gustave Le Bon. Given that the Indignados had no specific political program, ideology or elected leadership, the classical theory would dismiss them as ‘mad masses’ bound to be manipulated by populist politicians, such as those of Podemos (pp. 23–24). According to Eklundh, the negative view of emotional political subjects rests on three ideas: (1) the idea of a sharp division between emotion and reason, as well as between affect and signification (pp. 8–10); (2) the idea of political subjects as either rational or emotional, and either vertical (centralized, hierarchical) or horizontal (networked, egalitarian) (pp. 11–12); and (3) the idea of institutionalized politics in which emotions are used mainly as manipulative instruments for voter mobilization by parties unified around rationally determined political agendas (p. 13). Eklundh challenges all three ideas in the three parts of her book. In Part I ‘Emotions’ she argues that the most adequate understanding of the Indignados and Podemos is to be sought in Ernesto Laclau’s theory of hegemony. Laclau defined hegemony as the ‘operation of taking up, by a particularity, of an incommensurable universal signification’ (2005, p. 70). The hegemonic operation
Higher-Order Concurrency: Expressiveness and Decidability

Higher-order process calculi are formalisms for concurrency in which processes can be passed around in communications. Higher-order (also known as process-passing) concurrency is often presented as an alternative paradigm to the first order (or name-passing) concurrency of the π-calculus for the description of mobile systems. This paper is a survey of recent results on the expressiveness and decidability of core higher-order process calculi.
Mezclas asfálticas viables para mitigar el efecto del ruido debido al tránsito vehicular en los pavimentos

The noise from vehicular pavement on interaction, can cause the highest of the noise in a city, depending on factors such as traffic conditions, type of vehicle and driving behavior (acceleration, braking, cornering ascent or descent); contact forces that vary in the time and this produce vibrations of the sound emitting noise. Due to so environmental authorities in Colombia this situation is not relevant environmental impact, economic and social impact, generated noise, and additionally it is a problem for the residents of areas near roads, this article is to show the importance of the use of certain types of asphalt mixtures with noise absorption properties, which can be used on pavements and to mitigate the effect of noise due to vehicular traffic on the pavements.
Animal performance and nutritional characteristics of Piatã-grass in integrated systems

The objective was to evaluate animal performance and nutritional characteristics of Brachiaria brizantha cv. BRS Piatã in two integrated systems, during the summer and winter, five years after the initial establishment of the area. The randomized block experimental design was adopted with treatments consisting of a control (five native trees per hectare) and an integrated crop-livestock-forestry (ICLF) system with 227 eucalyptus trees per hectare. Animal performance, canopy height, soil cover, forage mass (leaf, stem and senescent material), and forage nutritive value were evaluated. Differences between systems were observed in forage mass (total, leaf, stem and senescent material), soil cover and forage nutritive value in both seasons. Shading conditions provided by eucalyptus in the ICLF system lead to a reduction in forage mass and neutral detergent fiber content, and to an increase in crude protein and in vitro organic matter digestibility. However, no effect on animal performance was obtained. The presence of trees improves the forage nutritive value without impacting animal performance in integrated systems.
C= An Improved Frequent Itemset Mining with FP Tree using Soft Set

 Abstract--- Currently, data mining experts are using various algorithms for retrieving frequent itemsets. One of the exciting methods is frequent pattern growth that retrieves the whole set of frequent items by avoiding candidate set production. It has certain limitations. To overcome these limitations, we propose a new algorithm called FP-softset, it implements the application of a soft computing tool- Soft set theory. Our research work discusses applications of soft set theory for extracting frequent itemset from a large data set. First two sections of this paper cover introduction and preliminaries. In the remaining sections, the authors explain soft set theory and its uses for improving FP-growth algorithm. Finally, the paper ends with a new algorithm, which the authors developed as software using python programming. The proposed work we can use for data mining. It has enormous use in the fields of market basket analysis, agricultural, health, education, and many
Running head Assisted gene flow in forest management Title Assisted gene flow in the context of large-scale forest management in California, USA Authors and affiliations

As climate changes, locally adapted tree populations may become maladapted to the sites in which they presently occur. When natural adaptive processes are insufficient for populations to keep pace with changing climate, human-assisted relocation of genotypes (“assisted gene flow”) may be a useful tool for maintaining forest resilience. While existing empirical evidence provides insight into the potential outcomes and consequences of assisted gene flow, its applicability to large-scale plantings needs to be evaluated. We conducted a test of assisted gene flow in the context of operational post-fire restoration plantings in three United States Department of Agriculture National Forests in California. Our experimental restoration plantings included seedling provenances representing both the local planting site and lower elevation provenances that may be adapted to hotter and drier conditions. For the duration of the experiment, the planting sites experienced anomalously hot, dry conditions, offering a window into the potential outcomes of assisted gene flow in a future climate characterized by warmer temperatures and more frequent drought. In most cases, there was no significant difference in seedling growth or survival among provenances. However, in a few cases, lower-elevation provenances performed better than local provenances, suggesting a potential benefit of assisted gene flow as a management response to climate change. Our analyses accounted for spatial variation in shrub cover and detected a consistent and substantial negative association between shrub cover and seedling growth. In addition, our study 3 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 revealed that the use of operational seed collections that are not geographically precise (and therefore also not climatically precise) can complicate selection of appropriate provenances and lead to unpredictable outcomes. Numerous other risks and uncertainties—including the fact that tree populations are often adapted to local site factors other than climate and that long-term outcomes may differ from short-term observations— complicate evaluations of the potential utility of assisted gene flow.
Algorithm for Solving the Light Scattering Problem for Arbitrary Shaped Ice Particles with Absorption

The work presents the estimation of the absorption influence effect on the light scattering problem for atmospheric ice particles. The calculation of light scattering matrices was performed for two types of particles: the solid hexagonal columns and the arbitrary shaped particles. The range of the size for both types of particles varies from 10 μm to 1000 μm. The results of the research show an insignificant decrease of the value of the M11 element of the light scattering matrix for small-sized particles for all chosen wavelengths (0.355 μm, 0.532 μm, 1.064 μm и 1.6 μm), and a significant decrease for big-sized particles for a 1.6 μm wavelength.
A Novel Utilization-aware Energy Consumption Model for Content Distribution Networks

Rapid increase in Internet worldwide users is leading a trend towards grand geographical distributed systems. Content Distribution Networks (CDNs) are one of the popular large scale distributed systems managing around 40con- tribution in CO2 footprint, it is very important to manage resources efﬁciently and to control energy consumption in CDNs. Though different studies propose solutions to reduce energy consumption but there is less concentration on analyz-ing energy consumption and resource utilization. In this paper we have evaluated resource utilization and ultimately energy consumption under different scenarios. We have proposed utilization-aware energy consumption model. We have consid- ered one of the most popular request redirection policy i.e. load- balance. Quality of Experience (QoE) metrics like overall delay in client requests completion and dropped requests are also evaluated. Extensive simulation is performed by varying CDN infrastructure size, client requests trafﬁc volume and intensity of end user requests.
Whole Genome Sequence Analysis and Homology Modelling of a 3C Like Peptidase and 1 a Non-Structural Protein 3 of the SARS-CoV-2 Shows Protein Ligand Interaction with 2 an Aza-Peptide and a Noncovalent Lead Inhibitor with Possible Antiviral Properties 3

10 The family of viruses belonging to Coronaviridae mainly consist of virulent pathogens that have a zoonotic property, Severe 11 Acute Respiratory Syndrome (SARS-CoV) and Middle East Respiratory Syndrome (MERS-CoV) of this family have emerged 12 before and now the SARS-CoV-2 has emerged in China. Characterization of spike glycoproteins, polyproteins and other viral 13 proteins from viruses are important for vaccine development. Homology modelling of these proteins with known templates 14 offers the opportunity to discover ligand binding sites and explore the possible antiviral properties of these protein ligand 15 complexes. Any information emerging from these protein models can be used for vaccine development. In this study we did a 16 complete bioinformatic analysis, sequence alignment, comparison of multiple sequences and homology modelling of the 17 SARS-CoV-2 whole genome sequences, the spike protein and the polyproteins for homology with known proteins, we also 18 analysed receptor binding sites in these models for possible binding with ligands that exhibit antiviral properties. Our results 19 showed that the tertiary structure of the polyprotein isolate SARS-CoV-2_HKU-SZ-001_2020 had 98.94 percent identity with 20 SARS-Coronavirus NSP12 bound to NSP7 and NSP8 co-factors. Our results indicate that a part of the viral genome (residues 21 3268 -3573 in Frame 2 with 306 amino acids) of the SARS-CoV-2 virus isolate Wuhan-Hu-1 structural homology with the Deubiquitinases (DUBs) of the Ubiquitin-Specific Proteases the and S3 enzyme that gets the C terminal tail of the Ubiquitin Our results show that Aza-Peptide 301 Epoxide an irreversible protease inhibitor and GRL0617 a viral replication inhibitor can be used to develop inhibitors of the Novel Coronavirus SARS-COV-2.
A SURVEY ON DETECTION OF HEART DISEASE

: Coronary disease is one of the most huge reasons for mortality on the planet today. Expectation of cardiovascular infection is a basic test in the region of clinical information investigation. Among them heart disease are the major reasons for death. Hazard factors like undesirable weight control plans, physical dormancy, smoking propensities, hypertension, high blood cholesterol, unpredictable heartbeat rate, diabetes, dietary patterns, age being a significant help for happening heart infections. Taking in to justification the above-mentioned distressing conditions, this paper is motivated in the Trend of emphasizing of the control and restrictions of previously recommended category strategies referred in the recent literature. In addition summarizing the literature, the paper also offers a vital valuation of the surveyed literature which reveals novel sides of studies.
Teleworking Through Cooperation

The diffusion of ICT has massive effects on society and economy. The impact of the new technologies on work is apparent in new ways of organizing work and in new practices introduced in organizations. Telework is one good example within these. In this paper, we present the results of a recent research project on telework, in which we have been engaged. Differently from the approach referring to a model of benefits for economic and social actors, our hypothesis is that the dialogical scheme is strictly connected to new technologies and cooperation is an important dimension of teleworking. In our study, cooperation is found performed both in social relations between employers and employees and in institutionalized relations between managers and unions. Although the two forms of cooperation, here called “social trustee cooperation” and “institutional cooperation”, are often thought as prerequisites of “best practices” of new working arrangements, our case studies demonstrate that cooperation has not always arisen that make possible to implement practices of teleworking. By focusing on cooperative relations, the results of different case studies in industry and in the service sector are discussed, thus intending to contribute to the development of sociological debate on telework
Retro-Analysis of Rehabilitation of Existing Bridge over the River Cubículo on Federal Highway BR-101, Brazil

This work describes the retro-analysis of design of rehabilitation of existing bridge over the river Cubículo on BR-101 in Santa Catarina, Brazil, aiming to evaluate the intervention processes. In this way, it was verified that the project adopted for strengthening of the structure was not adequate to support the evolution of the maximum load over time and the overload due to widening, and it was also verified that the changes in the load factor do not comply with the update of the Brazilian Technical Standards ABNT: NBR-7188 [1]. The retro-analysis of the bridge rehabilitation project has demonstrated fundamental importance to avoid possible design failings, accidents, and reworks. Affirming that it is essential to comply with Standards and Technical Manuals on the elaboration of the rehabilitation project of structures and in choosing the type of intervention to the existing structure.
A Framework for Adaptable Operating and Runtime Systems

In this grant, we examined a wide range of techniques for constructing high-performance configurable system software for HPC systems and its application to DOE-relevant problems. There were three major directions to the research which resulted in a number of publications presented at high impact venues. In addition, this research spawned follow-on research projects with significant DOE research impact, and supported the education of several students who now work for DOE labs after receiving their Ph.D. degrees. In the remainder of this report, we describe these results in detail.