Miracle-dz/UniFAR-FTUs huggingface dataset:
Linked Data Visualization Tools

: In recent years, the amount of Semantic data on the Web has increased enormously. Since the initiation of the Linked Open Data project, the number of datasets added to the Web of Data has increased multifold. Although, the concept of Web of Data has been increasing in popularity, ease-to-use interfaces, to access and make sense of actual data are still far and few to accomplish the Semantic Web Vision to its full potential. Especially the non-experts in Semantic Web technologies are not benefitting from the value of Linked Data as promised by the Data providers. In this survey paper, we discuss the major prerequisites and challenges that need to be addressed by the modern Linked Data Visualization tools. In the pretext of these challenges, we present how the State-of-the-art Visualization tools from Web of Data literature, attempt to handle them. Finally, we survey and present the features of different systems developed by Semantic Web community in the context of Linked Open Data.
Phylogenetic analysis of in ﬂ uenza A viruses (H3N2) circulating in Zhytomyr region during 2013–2014 epidemic season

Aim . To perform phylogenetic analysis of the hemagglutinin (HA) and neuraminidase (NA) genes of in ﬂ uenza A(H3N2) viruses circulating in the Zhytomyr region during 2013–2014 epidemic season. To make comparison of the HA and NA genes sequences of the Zhytomyr region isolates with the HA and NA genes sequences of in ﬂ uenza viruses circulating in the world. Methods . Laboratory diagnosis was conducted by real-time polymerase chain reaction (RT-PCR). In this study the sequencing and phylogenetic analysis were carried out. Results . For the ﬁ rst time the genes of in ﬂ uenza A(H3N2) viruses isolated in the Zhytomyr region during 2013–2014 epidemic season, coding hemagglutinin and neuraminidase were compared with their orthologs. According to the results of this comparison the phylogenetic tree was constructed. Additionally, the amino acid substitutions of the in ﬂ uenza viruses circulating in Ukraine and worldwide were analyzed. Conclusions . The nucleotide sequences of the in ﬂ uenza A(H3N2) viruses genes HA and NA isolated in the Zhytomyr region were identi ﬁ ed. Based on the nucleotide sequences of HA and NA we constructed the in ﬂ uenza virus phylogenetic tree demonstrating that the virus isolated in the Zhytomyr region was closely related to the Ukrainian isolate from Kharkov and in the world to the isolates from Germany, Romania, Italy.
2D-to-3D Scene Generation and Rendering using CNN and Spatial Knowledge Representation

Picture to 3D scene generation framework creates a conceivable 3D graphical scene from a given 2D advanced picture input. Because of overpowering utilization of 3D models in computer games, robot routes, virtual situations and even in field of interior designing there is a developing enthusiasm for 3D scene generation, scene comprehension and 3D demonstrate recovery. Here proposed another framework which is the mix of profound learning with spatial information portrayal to construct a rearranged 3D demonstrate from a solitary picture. The info picture is changed over into characteristic language depiction by utilizing a neural system. At last an improved 3D scene created from this depiction utilizing semantic parsing and spatial learning. The framework is extremely compelling at delivering important 3D scene straight forwardly from a 2D picture. The new framework additionally presented a system for rendering and controlling the scene through iterative info directions.
Inter-domain Routing Incentive Model Based on Cooperative Game

—An incentive mechanism should be incorporated into the current inter-domain routing architecture because it can motivate Internet Service Providers (ISPs) to provide efficient and lasting routing services such as multipath routing and routing customization. In this paper, we model the cooperation and competition behavior of ISPs in the special inter-domain routing system (i.e., UMIR: user-customizing multi-path inter-domain routing), and then propose a novel incentive model based on cooperative-game. We abstract and give some basic concepts such as a routing coalition, sub-coalition and their characteristic function, and then design and develop a fair and feasible revenue allocation algorithm called shapely value algorithm. The theoretical analysis and experimental results show that this incentive model benefits the deployment of UMIR protocol and the formation and stability of a UMIR routing coalition. Therefore, it will push the UMIR network to evolve healthily and orderly.
A Change Impact Analysis Approach to GRL Models

—Goal models represent interests, intentions, and strategies of different stakeholders in early requirements elicitation process. In a socio-technical context, goal models evolve quickly to accommodate the rapid changes of stakeholders’ needs, technologies, and business environments. In order to control and minimize the risks brought by requirements changes, it is important to analyze the effects of modiﬁcations in goal models. Given a proposed modiﬁcation, Change Impact Analysis (CIA) allows for the identiﬁcation of software artifacts that will be impacted and for the estimation of the effort required to implement the proposed changes. This paper describes an approach to analyze the propagation of changes in goal models speciﬁed using the Goal-oriented Requirements Language (GRL). Dependencies in the GRL model are ﬁrst extracted and illustrated using a GRL Model Dependency Graph (GMDG), describing inter-and intra-actor dependencies. In order to identify model constructs that are impacted by a proposed change, we apply the well-known technique of program slicing to the GMDG model. We illustrate our approach by applying it to a goal model describing undergraduate students’ involvement in research activities.
Amobile App Permission Recommendation for Naïve Users by Using Machine Learning Approaches

: The usage of smart phones has been tremendously increasing for the past few years. The main reason behind this growth is the adoption of app store which is offered by Apple, Google etc. Mobile app ecosystems such as Android or iOS provide standard APIs through which the mobile applications can be easily developed and distributed through app stores. These mobile applications have features like location access, contact access etc., which may access a user's private information. Very few users have experience in using the mobile application features. Other inexperienced users may allow access for all the features while installing a mobile application. This may pose several security and privacy issues. Hence, in this paper we focus on recommending mobile application features by applying different machine learning techniques. This can significantly reduce user load while allowing users to better control their mobile application features based on like-minded group preferences. From our experimental results it has been observed that the proposed recommendation system can provide accurate privacy decision to the naive user.
LC-ESI-MS/GC-MS Based Metabolite Profiling of Chlorophytum comosum 1 (Thunb.) Jaques and evaluation of its antioxidant and antiproliferative effects on 2 lung and breast cancer cell lines 3

29 Background Chlorophytum comosum popularly known as Spider Ivy is an important 30 medicinal plant in traditional Chinese medicine utilized in the treatment of many 31 ailments, however its detailed chemical composition and biological activity is not much 32 explored. The present study aims to identify different chemical constituents present in 33 roots and leaves of Chlorophytum comosum and investigates its antioxidant, 34 antiproliferative and haemolytic effects on breast (MCF-7) and lung cancer cell lines 35 (A549, H1299) as compared to normal lung (L-132) cell lines. 36 Methods Chemical constituents from aqueous roots and leaves extracts were identified 37 using LC-ESI-MS/GC-MS. The identified compounds were annotated based on match of 38 mass spectral database with the literature using NIST 14 and METLIN databases. 39 Antioxidant activity was checked using DPPH, FRAP and TPC assays. The 40 antiproliferative effects of ethanolic roots and leaf extracts of Chlorophytum comosum 41 were measured by MTT assay on breast (MCF-7), lung cancer (A549 & H1299) and 42 normal lung (L-132) cell lines. The toxicity studies of the extracts were carried out using 43 Haemolytic assay. 44 Results GC-MS analysis identified 34 new metabolites in roots and 17 from leaves, while 45 as 17 compounds from roots and 7 from leaves were detected by LC-ESI-MS. Significant 46 antiproliferative effects were observed on MCF-7 & A549 cell lines with IC 50 values 47 ranging from 31.94 µg/ml to 77.84 µg/ml while no marked response was observed against 48 normal cell line. Haemolysis studies revealed no significant toxicity of the extracts 49 towards the biological system. Conclusion Our study is the first preliminary report on the detailed chemical composition 51 and antiproliferative potential of Chlorophytum comosum, indicating significant specific 52 antiproliferative activities against lung (A549) and breast (MCF-7) cancer cell lines. 53 However, further studies are required to understand the mechanism involved in cytotoxic 54 properties of Chlorophytum comosum . of availability of active metabolites which needs to be further validated by isolation and characterization studies followed by in vivo screening. Our study provides
Formulation & Evaluation of Fluconazole Gel for Topical Drug Delivery System

Fluconazole is a recent triazole antifungal drug that is used in the treatment of superficial and systemic fungal infection. The oral use of fluconazole The evaluation of formulated fluconazole topical gel was carried out for a physical appearance, pH-value, spreadability, homogeneity, drug content. The formulated gel showed good physical characteristics. The formulation F3 (101.18%) & F6 (105.4%) show good drug content as the polymer concentration in them was higher. The percentage yield of F4 (98.26%) was the highest. The spreadability of gel decreases with an increase in polymer concentration. The pH of the formulation was in the range of 5-8 which is considered acceptable to avoid the risk of irritation upon application to the skin.
ΙκΒ kinase α is required for development and progression of KRAS -mutant lung adenocarcinoma

Although oncogenic activation of nuclear factor (NF)- κΒ has been identified in various tumors, the NF- κΒ -activating kinases (inhibitor of NF- κΒ kinases, IKK) responsible for this are elusive. In this study, we determined the role of IKK α and IKK β in KRAS -mutant lung adenocarcinomas induced by the carcinogen urethane and by respiratory epithelial expression of oncogenic KRAS G12D . Using NF- κ B reporter mice and conditional deletions of IKK α and IKK β , we identified two distinct early and late activation phases of NF- κΒ during chemical and genetic lung adenocarcinoma development, which were characterized by nuclear translocation of Rel B, ΙκΒβ , and IKK α in tumor-initiated cells. IKK α was a cardinal tumor promoter in chemical and genetic KRAS -mutant lung adenocarcinoma, and respiratory epithelial IKK α -deficient mice were markedly protected from the disease. IKK α specifically cooperated with mutant KRAS for tumor induction in a cell-autonomous fashion, providing mutant cells with a survival advantage in vitro and in vivo . IKK α was highly expressed in human lung adenocarcinoma, and a heat shock protein 90 inhibitor that blocks IKK function delivered superior effects against KRAS -mutant lung adenocarcinoma compared with a specific IKK β inhibitor. These results demonstrate an actionable requirement for IKK α in KRAS -mutant lung adenocarcinoma, marking the kinase as a therapeutic target against this disease. their Cells L-glutamine, U/ml penicillin, and 100mg/ml streptomycin. Cells were tested biannually for identity (by the short tandem repeat method) and for Mycoplasma Spp. (by PCR). For and d = 1.5. Data were acquired by two blinded readers, reevaluated if >20% deviant (no data were excluded), examined for ± Mann-Whitney test Kruskal-Wallis/Dunn’s post-tests. estimates/log-rank two-way ANOVA/Bonferroni post-tests.
On the relation between apparent ion and total particle growth rates in the boreal forest and related chamber experiments

Abstract. The understanding of new particle formation and growth processes is critical for evaluating the role of aerosols in climate change. One of the knowledge gaps is the ion–particle interaction during the early growth process, especially in the sub-3 nm range, where direct observations are sparse. While molecular interactions would imply faster growth rates of ions compared to neutral particles, this phenomenon is not widely observed in the atmosphere. Here, we show field measurements in the boreal forest indicating a smaller apparent growth rate of the ion population compared to the total particles. We use aerosol dynamics simulations to demonstrate that this effect can be caused by the changing importance of ion-induced nucleation mechanisms during the day. We further compare these results with chamber experiments under similar conditions, where we demonstrate that this effect critically depends on the abundance of condensable vapors and the related strength of ion-induced nucleation. Our results imply that atmospheric ion growth rate measurements below 3 nm need to be evaluated very carefully as they do not represent condensational growth alone but are influenced by ion–particle population interactions.
of Birmingham Conductance of Graphene Nanoribbon Junctions and the Tight Binding Model

Planar carbon-based electronic devices, including metal/semiconductor junctions, transistors and interconnects, can now be formed from patterned sheets of graphene. Most simulations of charge transport within graphene-based electronic devices assume an energy band structure based on a nearest-neighbour tight binding analysis. In this paper, the energy band structure and conductance of graphene nanoribbons and metal/semiconductor junctions are obtained using a third nearest-neighbour tight binding analysis in conjunction with an efficient nonequilibrium Green ’ s function formalism. We find significant differences in both the energy band structure and conductance obtained with the two approximations.
Drone on: A preliminary investigation of the acoustic impact of unmanned aircraft systems (UAS)

Increasingly, operations with unmanned aircraft systems (UAS) are occurring in populous regions. Commercial entities propose increasingly frequent, very low-level flights of a diverse range of small craft (particularly quadrotors) in urban environments. There is a significant body of research addressing safety, security, and privacy issues for UAS and an even greater amount dedicated to manned craft. However, our review reveals relatively little available information on the characteristics of UAS noise sources, factors influencing propagation, the people impacted and the psychoacoustic factors influencing their response. This work begins to analyse the problem by investigating the effect of quadrotor propeller-blade numbers on acoustic annoyance. Frequency spectra for each propeller type are compared against that for a DJI Phantom 4. The effect on loudness, sharpness, and fluctuation strength is also discussed. A number of technical mitigation measures are hypothesised, including flight path planning for reduced exposure, and legislative restrictions. Propeller designs taking inspiration from low noise fans are recommended as a method of reducing the acoustic impact of routine UAS operations over populous areas.
Path Planning and Use of Probabilistic Localization to Keep Track of a Car-Like Robot

: This paper presents a particle filter for tracking a robot car. Particle filter is a way of taking variable of interest about something you are trying to measure, and whittling those guesses down by using measurements from sensors. Robot car also uses its sensors to map the region, uses filtering to estimate its position on the road. Robot car need to have awareness of both static and dynamic parts of the environment. Hence, I propose a model based approach which encompasses both path planning and particle filter for tracking robot car.
A Review on Concerns and Benefits of Genetically Modified Organisms Advanced Biological

The enhancement of desired traits has traditionally been undertaken through breeding, but conventional plant breeding methods can be very time consuming and are often not very accurate. Genetic engineering, on the other hand, can create plants with the exact desired trait very rapidly and with great accuracy for the betterment of society through development of crops with improved nutritional quality, resistance to pests and diseases, and reduced cost of production. Although this method is more efficient, critics fear that the result — a "novel gene combination" — may have health or environmental impacts that are not being adequately addressed. As a result; the technology is surrounded by significant controversy especially in the areas of safety testing, regulation, international policy and food labeling. Intensive studies have been made concerning the benefits and concerns of GMO that means biotechnology offers a variety of potential benefits and risks. These studies indicated that the techniques have to been proceed with caution to avoid causing unintended harm to human health and the environment as a result of our enthusiasm for this powerful technology. Generally, Biotechnology, in the form of genetic engineering, is a facet of science that has the potential to provide important benefits if used carefully and ethically.
Spectral Computed Tomography at High Photon Fluxes

The development of pixelated photon counting semiconductor detectors enables to resolve the spectral composition of the incident photons in X-ray imaging, provided that the detector is operated in the absence of pulse pile-up and sensor polarisation. The purpose of this study is to examine the imaging properties of Medipix2 MXR detectors under high photon fluxes, which do not meet this requirement. At first, it is shown that the critical photon flux, at which the detector’s linearity breaks down, can be shifted towards higher values by increasing the IKrum current in the charge sensitive preamplifier, which corresponds to reducing the pulse shaping time. The negative impact of this procedure on the detector’s spectroscopic performance seems only moderate. Furthermore, the deviation from an ideal linear response is determined as a function of the photon flux. The deviations are used to correct single projections and eventually acquire spectral CT images at high photon fluxes which contain corrected absorption coefficients. Thus, K-edge imaging with the contrast agents iodine and gadolinium can be performed at high photon fluxes. It is shown that the spectroscopic information vanishes for energy ranges, which correspond to energies higher than approximately the mean photon energy of the incident spectrum.
Complete genome sequence of Intrasporangium calvum type strain (7 KIP T )

The species is a Gram-positive bacterium that forms a branching mycelium, which tends to break into irregular fragments. The mycelium of this strain may bear intercalary vesicles but does not contain spores. The strain described in this study is an airborne organism that was isolated from a school dining room in 1967. One particularly interesting feature of I. calvum is that the type of its menaquinone is different from all other representatives of the family Intrasporangiaceae . This is the first completed genome sequence from a member of the genus Intrasporangium and also the first sequence from the family Intrasporangiaceae . The 4,024,382 bp long genome with its 3,653 protein-coding and 57 RNA genes is a part of the G enomic E ncyclopedia of B acteria and A rchaea project. Evidence codes - IDA: Inferred from Direct Assay (first time in publication); TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from of the Gene Ontology project [28]. If the evidence code is IDA, then the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.
Inﬂuencia del algoritmo de segmentaci´on en la precisi´on y el coste computacional de la detecci´on de cambios multiclase sobre im´agenes hiperespectrales

Resumen — En el campo de la teledetecci´on es habitual la necesidad de detectar cambios a partir de im´agenes hiperespectrales de una misma ´area geogr´aﬁca capturadas en diferentes momentos. Una gran parte de las t´ecnicas de detecci´on de cambios permiten adem´as de detectar los cambios, clasiﬁcar los tipos de cambio que se han producido. El uso de t´ecnicas de extracci´on de informaci´on espacial y espectral sobre ´areas de la imagen, m´as all´a del ´ambito del p´ıxel, como las t´ecnicas de segmentaci´on, permiten mejorar la calidad de la detecci´on a cambio de un incremento en coste computacional. La elecci´on adecuada de algoritmos para las diferentes etapas im- plicadas en el proceso y su adecuada programaci´on permiten encontrar una soluci´on de compromiso entre coste computacional y calidad de la detecci´on. En este art´ıculo proponemos y analizamos diferentes alterna- tivas para las etapas de segmentaci´on de las im´agenes y clasiﬁcaci´on para un m´etodo de detecci´on de cam- bios, haciendo hincapi´e en el coste computacional de las alternativas.
Stepwise Regulatory Intramembrane Proteolysis

We are pleased to present a series of Annotated Classics celebrating 40 years of exciting biology in the pages of Cell . This install-ment revisits “Sterol-Regulated Release of SREBP-2 from Cell Membranes Requires Two Sequential Cleavages, One within a Transmembrane Segment” from the Brown and Goldstein lab. Here, Matthew Freeman comments on the elucidation of regulated two-step proteolysis of the membrane-embedded sterol regulatory protein SREBP-2 by Sakai et al., which led to the identifica-tion of intramembrane proteases—those with active sites that are within the lipid bilayer. Each Annotated Classic offers a personal perspective on a groundbreaking Cell paper from a leader in the field with notes on what stood out at the time of first reading and retrospective comments regarding the longer term influence of the work. To see Matthew Freeman’s thoughts on different parts of the manuscript, just download the PDF and then hover over or double-click the highlighted text and comment boxes on the following pages. You can also view Freeman’s annotation by opening the Comments navigation panel in Acrobat.