Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge BasedRecommendation onOptimal Spectral and Spatial RecordingStrategy of Physical Cultural Heritage Objects

—Ontologies have traditionally been used to represent knowledge of a specific domain. They are also used to provide a base to infer the knowledge present inside them. However, the applications of ontologies within the Cultural Heritage (CH) community have been restricted to providing standard documentation for significant heritage objects. E.g., widely used ontology within CH disciplines, International Committee for Documentation Conceptual Reference Model(CIDOC CRM) is designed to provide standards in documenting archival information of physical CH object. There has been hardly any work relating the objects to their documentation purposes. In this paper, we present the Colour and Space in Cultural Heritage Knowledge Representation (= COSCH KR ) ontology – a multi-faceted ontology. With COSCH KR , we present a system that infers inter-woven descriptive semantics of different involved CH disciplines in recording CH objects to recommend optimal spatial and spectral technical solutions to humanities experts and guide through the underlying complexities while recording their objects. It takes numbers of facts into consideration including physical characteristics of the CH objects, the characteristics of their surroundings and even other relevant facts such as budget or staff competence to infer against the characteristics of the technologies for a proper recommendation. In contrast to a typical Recommender System, which does the same for web-based content through stochastic methods, we use descriptive semantics at the concept level.
BUCCAL MUCOADHESIVE TABLET DRUG DELIVERY SYSTEM OF RIZATRIPTAN AGAINST SUSTAINABLE MIGRAINE BY USING METHOCEL K100LV, CARBOPOL 934P AND JAGUAR GUM: DESIGN, DEVELOPMENT AND IN VITRO EVALUATION

: The present research was expected to foster buccal mucoadhesive tablet of Rizatriptan utilizing mucoadhesive polymers like Methocel K100LV, Carbopol 934P and Jaguar gum by direct pressure technique. The dry power combination of medication and polymers were assessed for precompression parameters to guarantee flow properties during tablet compression. FTIR and DSC results showed no proof of interaction between the Rizatriptan and mucoadhesive polymers utilized for formulations. The detailed mucoadhesive buccal tablets were assessed for physicochemical properties like hardness, friability, thickness consistency, weight variation, swelling studies and moisture absorption studies. The formulated buccal tablets were additionally assessed for mucoadhesive strength, in vitro drug delivery and ex vivo drug permeation through cellulose acetic acid derivation layer. Ex vivo mucoadhesive strength and in vitro discharge studies showed that formulation RBMT 4 containing 20% of Methocel K100LV and 10% of Jaguar gum showed adequate bioadhesive strength and displayed optimum medication release (99.64% after 10hrs). The Stability of best mucoadhesive buccal still up in the air in artificial human saliva and it was found that both Rizatriptan and buccal tablets were steady in human saliva. The plan mucoadhesive buccal tablets of Rizatriptan expected to have delayed restorative impact with improved tolerance consistence by keeping away from first pass metabolism. Ex vivo permeation studies (diffusion studies) were carried out for best formulation (RBMT 4 ) using goat buccal mucosa and compared with in vitro drug release studies (dissolution studies). The results of this studies shows that, the cumulative percentage of drug release for in vitro dissolution studies was 99.64% within 10 hour where it was 88.72% within 10 hour for ex vivo studies. The difference in drug release profiles may be attributed due to low permeability of the drug. Both the release profile were correlated on point to point basis and the correlation co-efficient was found 0.9961 which indicates good co-relation level between in vitro and ex vivo release profile which was shown in table
Study of Self-Induced Sloshing in Model Test of a Water Retaining Weir

This paper presents for the first time observations of a self-induced sloshing phenomenon in the water-retaining weir model. Fast Fourier Transform method is used to detect the dominant frequency for the sloshing water. The characteristics of the sloshing water in terms of sloshing strength and frequency are experimentally studied for six different cases. Results show that both sloshing regions and sloshing strength depends on not only the water levels but also the inlet velocities, and the relationship between them is displayed in this paper. Different prediction models for sloshing frequencies are built and compared with the experimental results, with discussions of the differences between them. For higher water level sloshing region, a new factor is introduced to the Faltinsen’s prediction formula, leading to a better agreement between prediction and experimental results. The mechanism of the self-induced sloshing is also discussed in this paper.
Full-Page Wrapper Generation for Unsupervised Deep Web Data Extraction

Web data extraction is a key component in many business intelligence tasks, such as data transformation, exchange, and analysis. Many approaches have been proposed, with either labeled training examples (supervised) or annotation-free training pages (unsupervised). However, most research focuses on extraction effectiveness. Not much attention has been paid to extraction efficiency. In fact, most unsupervised web data extraction ignores wrapper generation because they could work alone without any supervision. In this paper, we argue that wrapper generation for unsupervised web data extraction is as important as supervised wrapper induction because the generated wrappers could work more efficiently without sophisticated analysis during testing. We consider two approaches for wrapper generation: schema-guided finite-state machine (FSM) approaches and data-driven machine learning (ML) approaches. We exploit unique mandatory templates to improve the FSM-based wrapper, and proposed two convolutional neural network (CNN)-based models for sequence-labeling. The experimental results show that the FSM wrapper performs well even with small training data, while the CNN-based models require more training pages to achieve the same effectiveness but are more efficient with GPU support. Furthermore, FSM wrappers can work as a filter to reduce the number of training pages and advance the learning curve for wrapper generation.
MULTI-EPOCH HUBBLE SPACE TELESCOPE OBSERVATIONS OF IZw18: CHARACTERIZATION OF VARIABLE STARS AT ULTRA-LOW METALLICITIES

Variable stars have been identified for the first time in the very metal-poor blue compact dwarf galaxy IZw18, using deep multi-band (F606W, F814W) time-series photometry obtained with the Advanced Camera for Surveys on board the Hubble Space Telescope. We detected 34 candidate variable stars in the galaxy. We classify three of them as Classical Cepheids, with periods of 8.71, 125.0, and 130.3 days, respectively, and other two as long period variables with periodicities longer than 100 days. These are the lowest metallicity Classical Cepheids known so far, thus providing the opportunity to explore and fit models of stellar pulsation for Classical Cepheids at previously inaccessible metallicities. The period distribution of the confirmed Cepheids is markedly different from what is seen in other nearby galaxies, which is likely related to the star bursting nature of IZw18. The long period Cepheids we have detected in IZw18 seem to indicate that massive stars at the metallicity of IZw18 (Z = 0.0004) may cross the instability strip long enough to be observed. By applying to the 8.71 days Cepheid theoretical Wesenheit (V, I) relations based on new pulsation models of Classical Cepheids specifically computed for the extremely low metallicity of this galaxy (Z = 0.0004, Y = 0.24), we estimate the distance modulus of IZw18 to be μ0 = 31.4 ± 0.3 (D = 19.0+2.8−2.5 Mpc) for canonical models of Classical Cepheids, and of 31.2 ± 0.3 mag (D = 17.4+2.6−2.2 Mpc) using over luminous models. The theoretical modeling of the star's light curves provides μ0 = 31.4± 0.2 mag, D = 19.0+1.8−1.7 Mpc, in good agreement with the results from the theoretical Wesenheit relations. These pulsation distances bracket the distance of 18.2 ±1.5 Mpc inferred by Aloisi et al. using the galaxy's red giant branch tip.
H2 and CO, Evolution by Anaerobically Adapted Chiamydomonas reinhardtii F-601

Using manometric and enzymic techniques, H2 and CO2 evolution in darkness and light has been studied in the green alga Chianydomonas reinhardtii F-60. F-60 is a mutant strain characterized by an incomplete photosynthetic carbon reduction cycle but an intact electron transport chain. In the dark, starch was broken down, and H2 and CO2 was released. The uncoupler, carbonyl cyanide m-fluorophenylhydrazone with an optimum concentration of 5 to 10 micromolar, increased the rate of CO2 release and starch breakdown but depressed H2 formation. It was suggested that carbonyl cyanide m-fluorophenylhydrazone increased the rate of starch breakdown by making the chloroplast membrane permeable to H+, removing a rate-limiting step, and leading to an altered fermentative pattern. Photoevolution of H2 and CO2, but not starch breakdown, was stimulated by acetate. Maximum stimulation occurred at concentrations from 1 to 10 millimolar. Carbonyl cyanide m-fluorophenylhydrazone stimulated starch breakdown and CO2 and H2 release in the light, but not to the extent of acetate. Inasmuch as the uptake and subsequent metabolism of acetate required ATP, it was suggested that acetate, like carbonyl cyanide m-fluorophenylhydrazone, stimulated H2 photoproduction by removing ATP which limited the sequence of reactions. The contribution of photo- system II to the photoproduction of H2, as judged from the effect of 10 micromolar 3-(3,4-dichlorophenyl)-1,1-dimethylurea, was at least 80%. CO2 photoevolution increased Unearly with time, but H2 photoevolution occurred in two phases: a rapid initial phase folowed by a second slower phase. The rate of H2 release increased hyperbolically with light intensity, but the rate of CO2 production tended to level off and decrease with increasing light intensity, up to 145 watts per square meter. It was proposed that a changing CO2 and H2 ratio is the result of interaction between the carbon and hydrogen metabolism and the photosynthetic electron transport chain.
Croucher, Karina and Büster, Lindsey and Dayes, Jennifer and Green, Laura and Raynsford, Justine and Comerford Boyes, Louise and Faull, Christina (2020) Archaeology and contemporary death: Using the past to provoke,

While death is universal, reactions to death and ways of dealing with the dead body are hugely diverse, and archaeological research reveals numerous ways of dealing with the dead through time and across the world. In this paper, findings are presented which not only demonstrate the power of archaeology to promote and aid discussion around this difficult and challenging topic, but also how our approach resulted in personal growth and professional development impacts for participants. In this interdisciplinary pilot study, archaeological case studies were used in 31 structured workshops with 187 participants from health and social care backgrounds in the UK, to explore their reactions to a diverse range of materials which documented wide and varied approaches to death and the dead. Our study supports the hypothesis that the past is a powerful instigator of conversation around challenging aspects of death, and after death care and practices: 93% of participants agreed with this. That exposure to archaeological case studies and artefacts stimulates multifaceted discourse, some of it difficult, is a theme that also emerges in our data from pre, post and follow-up questionnaires, and semi-structured interviews. The material prompted participants to reflect on their biases, expectations and norms around both treatment of the dead, and of bereavement, impacting on their values, attitudes and beliefs. Moreover, 87% of participants believed the workshop would have a personal effect through thinking differently about death and bereavement, and 57% thought it would impact on how they approached death and bereavement in their professional practice. This has huge implications today, where talk of death remains troublesome, and for some, has a near-taboo status–‘taboo’ being a theme evident in some participants’ own words. The findings have an important role to play in facilitating and normalising discussions around dying and bereavement and in equipping professionals in their work with people with advanced illness. PLOS ONE PLOS ONE | https://doi.org/10.1371/journal.pone. 0244058 December 29, 2020 1 / 24 a1111111111 a1111111111 a1111111111 a1111111111 a1111111111
Analysis of Hardware Implementations to Accelerate Convolutional and Recurrent Neuronal Networks

—Hardware platforms, like FPGAs and ASICs, turned out to be a viable alternative to GPUs for the implementation of deep learning algorithms, especially in applications with strict power and performance constraints. In terms of ﬂexibility, FPGAs are more beneﬁcial, while ASICs can provide a better energy efﬁciency and higher performance. Deep Learning is a subgroup of machine learning algorithms that has a major impact on modern technology. Among these algorithms, Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) have been of great interest due to their accuracy in comparison to other methods. In this article, we conducted an analysis of the hardware implementation of these two popular network types. Different types of neural networks offer different opportunities to create an optimized hardware implementation due to their speciﬁc characteristics. Therefore, we split the analysis into two parts, discussing CNN and RNN implementations separately. Our contribution is an inside view on several hardware approaches and a comparison of their architectural characteristics. We aim to propose hints for their implementations.
Semantically-driven Competitive Intelligence Information Extraction: Linguistic Model and Applications

—In a competitive environment and in the current context of rapid technological advances, competitive intelligence is a key strategic need in the private sector and requires the development of Web content tools capable of robust and semantically-driven text classiﬁcation. In this paper, we present a method for the information extraction and semantic classiﬁcation of text segments. Our approach to text processing makes use of linguistic clues to populate an ontology of competitive intelligence. We have developed a method for the automatic identiﬁcation and classiﬁcation of sentences into predeﬁned semantic classes by using linguistic models and a knowledge-based approach. This method has been tested on a dataset of journal articles in horology and aeronautics, and can be extended to other domains. The tool that we have developed is part of the WebSO+ platform for competitive intelligence. We present the overall methodology for annotation and information extraction, our experimental protocol and the results obtained from the evaluation.
Binding of TRIP8b to the cyclic nucleotide binding domain (CNBD) of mammalian HCN

A synthetic peptide that prevents cAMP regulation in mammalian Hyperpolarization1 activated Cyclic Nucleotide-regulated (HCN) channels 2 Andrea Saponaro, Francesca Cantini, Alessandro Porro, Annalisa Bucchi, Dario 3 DiFrancesco, Vincenzo Maione, Chiara Donadoni, Bianca Introini, Pietro Mesirca, 4 Matteo E. Mangoni, Gerhard Thiel, Lucia Banci, Bina Santoro, Anna Moroni 5 Department of Biosciences University of Milan, Italy; 6 Centro Risonanze Magnetiche (CERM) and Department of Chemistry, University of 7 Florence, Italy; 8 Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, F9 34094, Montpellier, France. 10 Department of Biology, TU-Darmstadt, Darmstadt, Germany; 11 Institute of Neurosciences, Consiglio Nazionale delle Ricerche, Florence, Italy 12 Department of Neuroscience, Columbia University, New York, USA; 13 Institute of Biophysics, Consiglio Nazionale delle Ricerche, Milan, Italy. 14 Laboratory of Excellence (LabEx) Ion Channels Science and Therapeutics (ICST). 15
Novel design of multiplexers using adiabatic logic

Multiplexer (or Mux) is a digital circuit that selects one of several analog or digital input signals and forwards the selected input into a single line. A multiplexer is also called a data selector. Multiplexers implemented in different ways. Adiabatic logic dissipates less energy loss because of thermodynamic process, in which there is no energy exchange. Adiabatic logic works with the concept of switching activities which reduces the power by giving stored energy back to the supply. These circuits are low power circuits which use reversible logic to conserve energy. In this paper three multiplexer designs are implemented using CMOS logic and two adiabatic logic methods i.e., Efficient Charge Recovery Logic (ECRL) and Clocked Adiabatic Logic (CAL). These circuits are designed, simulated and synthesized using Mentor Graphics tool. The result shows that CAL design consumes less power compared with ECRL and CMOS logic.
Vehicle Direction Based Routingfor VANET

: One of the major critical issues in vehicular ad hoc networks ( VANETs) is Routing. In this paper proposes a Vehicle Direction Based Routing (VDBR) algorithm for supporting V2I and V2V communications. VDBR takes the benefit of both the destination location and moving directions of vehicles to select the next hop (neighbor vehicle) for forwarding data. Without using other control messages it only uses asingle INIT message to acquire orrevise routing information, which mainly reduces the control message counts in routing. The packet delivery ratio of the network can be considerably improving by the VDBRalgorithm.
EFFECT OF Trichoderma harzianum ON MORPHO-PHYSIOLOGICAL PARAMETERS AND METAL UPTAKE OF TOMATO PLANTS

: In this study we have investigated the effect of T. harzianum on growth, content of chlorophyll and epidermal flavonols and metal distribution in tomato plants. Trichoderma strain, isolated from the A horizon (5–30 cm) of agricultural soil used in organic production, was applied near the root in the sixth leaf development phase of tomato. Tomato plants were grown in a growth cabinet up to the stage of 10 leaves. Content of chlorophyll (Chl), epidermal flavonols (Flav) and antocyanins (Ant) were measured in vivo non-destructively. The concentration of Cd, Co, Cu, Cr, Fe, Mn, Ni, Se, and Zn was measured in different parts of tomato plants by ICP-OES method. Results have shown that Trichoderma application positively affected growth of tomato plants, and significantly decreased nitrogen balance index. In Trichoderma treated plants the contents of Cr and Ni were significantly reduced in roots, while content of Cd tended to decrease in all plant parts, significantly in roots. Presented results indicate that investigated isolate is worthwhile testing for plant growth promotion in field conditions, taking in account different supply of macro and micronutrients.
Nonresponse bias in change estimation: a national forest inventory example

Nonresponse in national forest inventories primarily occurs in forested areas due to accessibility issues or where hazardous conditions exist. As with all surveys, nonresponse has the potential to impart empirical bias into sample-based estimates and care should be taken to minimize any effects. A less-studied aspect is the effects of nonresponse when estimating change between two points in time. In this study, potential bias in change estimates was evaluated using imputed values for nonresponse inventory plots to compare differences between response and nonresponse means. Analysis of forest area and tree biomass density attributes revealed that systematic differences in probabilities of nonresponse that occur due to ownership type and forest/nonforest status produce overall estimates of change that are too small. The empirical bias appears to worsen as nonresponse rates increase. Underestimation of change inhibits detection of statistically signiﬁcant shifts in forest resource attributes and concurrently thwarts effective management and policy responses. Thus, further study to ameliorate this issue is warranted, including improved strategies for deﬁning populations and strata to better conform to nonresponse assumptions and/or alternative estimation methods that account for differential nonresponse probabilities due to ownership or forest/nonforest status.
Diﬀerential interference in a polymer waveguide

The paper presents the results of investigations concerning the measurement of the refractive index and the thickness of planar waveguide structures, obtained by photo polymerization of the polymer SU8. In the paper the mode sensitivity has been calculated as a function of the thickness in a single-mode structure. The thickness of the layer has been determined in the case when the interferometer is most sensitive to changes of the refractive index.
5 9 Nuclease Assays for the Loci CCR5 - 1 / D 32 , CCR2-V64I , and SDF1-G801A Related to Pathogenesis of AIDS

Background: Variations within the human genome play important roles in human disease. To study variations related to susceptibility to AIDS, we have developed 5 * nuclease assays that eliminate post-PCR molecular biology steps. Methods: TaqMan assays based on the 5 * nuclease activity of Taq polymerase and fluorescent resonance energy transfer were developed to score alleles at the biallelic loci CCR5 - 1 / D 32 , CCR2-V64I and SDF1-G801A . For each assay, 72 samples were analyzed. Data collec-tion and analysis were performed on the Prism 7700 Sequence Detection System. For comparison with gel electrophoresis methods, each locus was also scored on a subset of 24 samples, using restriction enzymes or single-strand conformational polymorphism (SSCP). Results: Clear allelic discrimination was obtained on each of the 72 samples for all three TaqMan assays. The TaqMan scores for the subset of 24 samples were concordant with the restriction enzyme and SSCP scores. Conclusions: Because of its simplicity, speed, and potential for automation and miniaturization, TaqMan is an excellent candidate for investigation of genetic variation in clinical, research, and forensic settings.
Development and Characterization of Microsatellite Markers , and Genetic Diversity

Ravishankar V. kundapura (  kv_ravishankar@yahoo.co.in ) Division of Biotechnology, ICAR – Indian Institute of Horticultural Research, Hesaraghatta lake post, Bengaluru 560089, Karnataka, India https://orcid.org/0000-0001-9935-763X Prakash Patil IIHR: Indian Institute of Horticultural Research Ajitha Rekha IIHR: Indian Institute of Horticultural Research Pavithra Sathanandam IIHR: Indian Institute of Horticultural Research Muthuvel Iyyamperumal Tamil Nadu Agricultural University Amrutlal Ravjibhai Patel Gujarat Agricultural University Anand Campus: Anand Agricultural University Ramesh babu Dr YSR Horticultural University Adiveppa Shirol University of Horticultural Sciences