Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinico Therapeutic Studies on Ascites in Canines

ISSN: 2319-7706 Volume 8 Number 09 (2019) Journal homepage: http://www.ijcmas. com A total 18 dogs maintained at different places were screened and included in the study. All the dogs were put through preliminary screening for the presence of ascites and were subjected to thorough clinical examination including detailed physical and clinical investigation with special reference to haemato-biochemical estimation, ultrasonography and radiography. The dogs found positive were subjected to therapeutic study and were further divided into three groups, namely G II, G IIIand G IVcomprising of 6 animals in each group irrespective of their sex, breed and age. Another group i.e., GI comprising of 6 apparently healthy dogs served as negative control during the study period. The dogs in group G1 were treated with Silymarin7mg/ml orally, G2 group of dogs were treated with syrup containing Tricholine Citrate, Vitamin B12, Inositol, Methyl donors, Selenium, Vitamin E and Biotin in a base enriched with liver extracts whereas dogs in group G3 were treated with Alfalfa, Avena Sativa, Ashwagandha, Acid Phosphoricum, China, Hydrastis Canadensis, Five Phos, total medication 6.35%, in syrup base. The drugs were given @ 2 tsf of syrup for 45 days. In addition to the specific drugs, common ancillary and supportive treatment was also given. On hematological analysis, there was significant decrease in haemoglobin, PCV, lymphocyte and TEC values in ascitic dogs. No significant change was found in eosinophil and basophil count. Hypoproteinemia, hypoalbuminea and hypoglobulinemia with increased ALT, AST, ALP, GGT, TLC, BUN and creatinine levels were main serum biochemical changes recorded in ascitic dogs. Clinical signs and vital parameters were noticed to have improved after treatment in all the three groups but better improvement was noticed in group G1 which was treated with silymarin. K e y w o r d s
FOUNTAIN-CODED FILE SPREADING OVER

Spreading a large file consisting of many packets over a mobile network is challenging due to the short meeting duration for each transmission. Moreover, two typical causes of inefficient file spreading are duplicate packet reception at the destination nodes and excessive overhead exchanges. We propose to employ fountain codes at the source node to jointly addresses the three issues: (i) each coded packet can be small enough to fit into the meeting duration; (ii) duplicate packet reception is significantly reduced since each coded packet is innovative; (iii) overhead is greatly saved by using file-level ACK instead of packet-level ACK. We conduct performance analysis in terms of the source-to-destination file delay and source-todestination file spreading time in both non-relaying and relaying scenarios. While packet duplication can be eliminated in the former scenario, there is still a non-trivial duplication probability if relaying is allowed. Therefore, we propose a FounTain-coded Two-hop Relaying (FTTR) protocol to further reduce the packet duplication ratio so that the spreading performance does not degrade with network size. The file spreading time and packet duplication ratio of FTTR are derived in closed form and verified through simulations.
Customize Image Search with RMTF on Photo Sharing Websites

Today’s web generates enormous data. Keyword based search is most popular medium to search content among web users. Metadata generated by web can be utilized to improve the search experience among the searchers. Social sharing websites like Flickr and Youtube allow users to create, share, tag, annotate, and comment Medias. The large amount of usergenerated metadata can be effectively utilized for media retrieval and management. With Personalize search web search experience is improved by generating the results by considering user preferences and returned list accordingly. In this paper, we propose a model which simultaneously considers the user and query relevance to learn to personalized image search. In this essential work is to insert the user preference and query-related search intent into user-specific topic spaces. The given model is tested for double word query and showing satisfactory results.
Elevation of miR-191-5p level and its potential signaling pathways in hepatocellular carcinoma: a study validated by microarray and in-house qRT-PCR with 1,291 clinical samples.

BACKGROUND The miR-191-5p expression has been reported to increase in hepatocellular carcinoma (HCC), but its clinical value and exact role remain to be further clarified. Thus, a comprehensive analysis was performed in the current study to explore the underlying function of miR-191-5p in HCC. METHODS HCC-related expression data were collected to conduct a thorough analysis to determine the miR-191-5p expression and its clinical significance in HCC, including microarray data from the Gene Expression Omnibus and ArrayExpress database as well as quantitative real-time polymerase chain reaction (qRT-PCR) data of 178 matched clinical samples. The underlying relationship between miR-191-5p and HCC was also explored on the basis of a series of bioinformatics analyses. RESULTS The overall pooled meta-analysis showed an overexpression of miR-191-5p in the HCC samples (SMD=0.400, 95% CI=0.139-0.663, P=0.003), consistent with the detected result of the clinical HCC samples through the qRT-PCR analysis. Higher miR-191-5p levels were correlated with advanced TNM stages (III and IV), higher pathological grades, and metastasis. Functionally, 64 potential target genes were acquired for further mechanism analysis. Two pathways (p75 neurotrophin receptor and liver kinase B1-mediated signaling pathways), which were likely modulated by miR-191-5p, were regarded to be linked to the deterioration of HCC. Early growth response 1 and UBE2D3 were identified as the most likely targets for miR-191-5p in HCC and were commonly implied in the top enriched pathways and protein-protein network. CONCLUSIONS In summary, miR-191-5p may function as a tumor promoter miRNA of HCC, and the miR-191-5p inhibitor may contribute to the targeted HCC treatment in the future.
Enhancement of Shelf Life of Pasteurized Milk Using Nisplin® Essential Oils Emulsion

Pasteurized milk at 72°C for 15sec has suitable nutrition value for daily use, because higher temperatures of heat treatment reduce nutrition value of milk. But shelf life of pasteurized milk is only two weeks under refrigeration at 4°C during transportation and storage which is difficult in some regions. Therefore, extended shelf life of pasteurized milk under poor refrigeration becomes strongly needed.
No . 18 . 07 Time Perspective , Discounting and Climate Change Policy

Time perspective – the tendency to foreshorten time units as we peer further into the future – implies hyperbolic discounting. We study implications of hyperbolic discounting for climate change policy, using a model in which the probability of a climate-induced catastrophe depends on the stock of greenhouse gasses (GHG). We characterize the set of Markov perfect equilibria of the intergenerational game in which each generation can either do nothing or stabilize atmospheric GHG concentration, and compare this set to a “restricted commitment” benchmark. We calculate the associated “constant equivalent discount rates” and the corresponding levels of expenditure to control climate change, and compare these results to discounting assumptions and policy recommendations in the Stern Review on Climate Change. “. My picture of the world is drawn in perspective. I apply my perspective not merely to space but also to time” –Ramsey.
Identification and biological activity of some new compounds isolated from aerial parts of Polygonum hydropiper

New natural compounds, Polygonolic acid (1), Polygonumate (2) and Hydropiperoic acid (3) along with some known compounds were isolated from aerial part of medicinal plant Polygonum hydropiper. The compounds were isolated upon repeat column chromatography, HPTLC, RP-18 reverse phase column of dichloromethane fraction of the crude methyl extract. Their structures were identified by using spectroscopic technique. Structure of Hydropiperoic acid (3) was identified by single crystal X-ray diffraction study. Microbiological activities of these compounds against some of phytopathogenic fungi and bacteria have been investigated in this study. Asian Australas. J. Biosci. Biotechnol. 2017, 2 (3), 204-213
Evidence of mixed use economic development synergies

The first decade of the 21st century has been characterized by an overall decline in both financial markets and real estate markets. These related declines have been attributed to inefficient land utilization, speculation, and questionable lending practices. This study focuses on the role of land utilization and examines whether or not the recent increase in mixed use development activity is due to synergies associated with such development. By applying the Fama-Macbeth procedure to estimate rolling alphas rather than rolling betas we find positive and significant alphas for a zero-investment portfolio long on mixed use development firms and short on focused development firms. These positive alphas and related results suggest that there are synergies associated with mixed use development. Therefore, future development projects should consider the mixed-use alternative.
Mycobacterium tuberculosis tlyA E59Q is Stable Compared to the Native Protein

Mycobacterium tuberculosis (Mtb) is one of the most infectious pathogens and causes about 1.3 million deaths and 10 million cases of new infections every year (WHO report, 2018). Drug resistant Mtb becoming more prevalent, major concern is the rising number of TB patients involving Mtb strains significantly increased are multidrug-resistant International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 09 (2019) Journal homepage: http://www.ijcmas. com
A Computer Violation of the CHSH

If a clear and valid no-go for Einsteinian hidden parameters is real, it must in no way be possible to violate the CHSH with a local hidden variables based computer simulation. In the paper we show that with the use of a modied Glauber-Sudarshan method it is possible to violate the CHSH.The criterion value comes close to the quantum value and is approximately 2.4. The proof (POC) is presented with the use of an R computer program. The important snippets of the code are discussed and the complete code is presented in an appendix.
Calculation of three dimensional permeance for structures containing nonlinear magnetic material

A method is presented for computing the upper and lower bounds to the permeance of three-dimensional electric machine regions containing nonlinear magnetic materials. Techniques for integrating the permeance integrals and for handling magnetic nonlinearity are described. Integrals that yield lower and upper bounds to the region permeance are derived from Ampere's and Gauss's laws. A parametric transformation is used to facilitate the calculation of the permeance. speed, accuracy, and the geometric insight into the field distribution make it useful for design analysis of electromechanical devices. <<ETX>>
Research on Ship Classification using Faster Region Convolutional Neural Network for Port Security

In our study, we present research work on classification of ships using one of the Deep Learning algorithms for port security. Faster Region Convolution Neural Network (Faster R-CNN) is the choice for our research and is applied to classify various types of ships found in port environment. Faster R-CNN method for classification outperforms many other methods especially for the purpose of automatic classification in a maritime environment. The choice of this method is arrived at after detailed analyisis of other state of the art object classification models including the analysis of Faster R-CNN model itself on other types of data. Previously, Faster R-CNN has been applied on the classification of other distinct objects different from the ships.
Machine learning based prediction of gliomas with germline mutations obtained from whole exome sequences from TCGA and 1000 Genomes Project

Germline variants can be early useful predictors of cancer risk. Here we present cross-study validation and cross-validation of two brain cancers: Gliobastoma Multiforme (GBM) and Lower Grade Glioma (LGG). We obtained whole exome germline sequences of European ancestry individuals with these cancers from The Cancer Genome Atlas and of European ancestry control individuals from the 1000 Genomes Project. We performed a rigorous quality controlled GATK procedure to obtain variants with which we perform cross-study and crossvalidation experiments. We find our germline variants to be highly predictive of both cancers in cross-study as well as in crossvalidation. Predicting LGG+controls from GBM+controls gives an 89% accuracy and predicting vice versa is 88% accurate both with the linear support vector machine classifier. We find that the main bulk of accuracy comes from the SNP rs10792053 that lies on gene OR9G1. We see that this SNP is in Hardy Weinberg equilibrium and allele frequencies similar to previously published in controls but not so in our cases. Our manual inspection of alignments reveals nothing unusual in the cases. We find our other top ranked SNPs to lie in genes known to be connected to brain cancer and cancer in general. Our study here shows a highly discriminative germline SNP for GBM and LGG cancer but requires replication studies to further verify.
Distinguishing coercion and underspecification in Type Composition Logic1

This paper investigates the meaning adaptability of change of state (CoS) verbs. It argues that both coercion and underspecification are necessary mechanisms in order to properly account for the semantic adaptability observable for CoS verbs in combination with their complements. This type of meaning adaptability has received little formal attention to date, although some recent work has already led the way on this topic (Spalek, 2014; Lukassek and Spalek, 2016; Asher et al., 2017). Our paper is part of a cross-linguistic case study of German einfrieren and Spanish congelar (‘freeze’). We model the meaning adaptability of this test case within Type Composition Logic (TCL) (Asher, 2011). We build on Asher’s coercion mechanism and introduce an additional mechanism for underspecification that exploits the fine-grained type system in TCL.
Larvicidal efficacy and residual toxicity of selected xerophyte plants against Culex pipiens molestus mosquito

Screening of fourteen xerophyte plants as mosquito larvicides for 4th instar Culex pipiens molestus. More effective with high toxicity nine species; Achelia fragrantissima [Af], Tanacetum cantolinoides [Tc] (Asteraceae), Cakile Arabica [Ca], Horwoodia dicksonia [Hd] (Brassicaceae), Astragalus annularis [Aa] (Fabaceae), Erodium glaucophyllum [Eg] (Geraniaceae), Resida muricata [Rm] (Residacea) and Fagonia indica [Fi] (Zygophyllaceae). Their Lc50 and Lc90 after 24 and 48 hrs were evaluated. Lc50 values after 24 hrs gradually: 12.5, 40.5, 43.0, 70, 86, 103.5, 104, 105.5 and 135 ppm for Fa, Af, Aa, Eg, Ca, Tc, Hd, Rm and Ah respectively. For testing the plant extracts residual toxicity persistence, the test starts with potential concentration causing mortality 100% for the 4th instar larvae, as following ; Fi 25. and Af 100 ppm, Aa, Eg, and Ca 150 ppm, Rm, Tc and Hd 200 ppm and for Ah 250 ppm. Ficum®W was applied as positive control and standard insecticide positive control with 15 ppm and negative control. The extract toxicity declined significantly with plant extract species and its exposure time which becomes zero at day 9 for Rm, day 12 for Aa and Hd,and day 15 for Fi, Ca, Tc and Ah, while continues with 40 and 31.2% mortality at day 15 for Af, and Eg respectively, in comparison with 70.8% mortality for standard insecticide Ficum®W at day 16. On the bases of this study, xerophytic plant could be considered with promising main botanical insecticidal resources which needed more investigation.
An Objective Structured Clinical Examination to assess preclinical skills

Aim: To describe the use of a preclinical Objective Structured Clinical Examination for the assessment of clinical skills in undergraduate dietetic students. Methods: The Objective Structured Clinical Examination is a well-established assessment tool in medicine, nursing and some allied health disciplines, but has been rarely used in either formative or summative assessment of dietetic students. This paper describes the development, implementation and evaluation of a preclinical Objective Structured Clinical Examination for dietetic students. Results: Students' performance in a preclinical Objective Structured Clinical Examination was assessed over a six-year period in successive student cohorts. Performance in the Objective Structured Clinical Examination was significantly related to their performance at their first clinical placement. Conclusions: A preclinical dietetic Objective Structured Clinical Examination allows problems arising during the teaching of basic clinical skills to be noted and corrected. In addition, a preclinical Objective Structured Clinical Examination identifies students requiring additional support on placement.
R&D-based Growth, Poverty Traps, and Multiple Steady States in an Endogenous Growth Model with R&D Externality

Different economies seem to exhibit multiplicity with regard to economic paths. Upon facing severe economic shocks, some advanced economies experience a no-growth phase despite having had positive and occasionally high growth rates immediately before the shocks. In contrast, many underdeveloped nations are stuck in a no-growth trap and their growth power is fragile, namely they sometimes encounter big economic shocks after starting to develop. With the aim of integrative investigation of the mechanisms of these phenomena, this study develops a concise dynamic model involving monopolistic variety-expansion research and development (R&D) with the R&D spillover and capital R&D inputs. The model provides multiple steady states that contain high-, low-, and no-growth phases, each of which is selected by the expectations. Furthermore, high growth is impossible during early stages of development, and while low growth is globally possible, the dynamic property might show indeterminacy, and thus, the expectation formation contains some difficulties. ∗This work was conducted with financial support from JSPS KAKENHI Grant Number 15K03360, JSPS KAKENHI Grant Number 26380348, and the grant from Kobe Academic Park Association for the Promotion of Inter-University Research and Exchange. †E-mail: kuwahara@econ.u-hyogo.ac. jp Phone/Fax: +81-78-794-5409
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors

Recently pretrained generative models have shown promising results for subsampled Fourier Ptychography (FP) in terms of quality of reconstruction for extremely low sampling rate and high noise. However, one of the significant drawbacks of these pretrained generative priors is their limited representation capabilities. Moreover, training these generative models requires access to a large number of fully-observed clean samples of a particular class of images like faces or digits that is prohibitive to obtain in the context of FP. In this paper, we propose to leverage the power of pretrained invertible and untrained generative models to mitigate the representation error issue and requirement of a large number of example images (for training generative models) respectively. Through extensive experiments, we demonstrate the effectiveness of proposed approaches in the context of FP for low sampling rates and high noise levels.
Generics and typicality

Cimpian et al. (2010) observed that we accept generic statements of the form ‘Gs are f ’ on relatively weak evidence, but that if we are unfamiliar with group G and we learn a generic statement about it, we still interpret it in a much stronger way: (almost) all Gs are f . This paper makes use of notions like ‘representativeness’ and ‘contingency’ from (associative learning) psychology to provide a semantics of generics that explains why people accept generics based on weak evidence. We make use of the Heuristics and Biases approach of Tversky and Kahneman (1974) and the Associative Theory of Probability Judgements to explain pragmatically why people interpret generic statements in a much stronger way. The spirit of the approach has much in common with Leslie’s (2008) cognition-based ideas about generics, but the semantics is grounded on Cohen’s (1999) relative readings of generic sentences. The basic intuition is that a generic of the form ‘Gs are f ’ is true, not because most Gs are (or tend to have) f , but because f is typical for G, which means that f is valuably associated with G.
Frequency Characteristics of the Compliant Constant-Force Mechanism Based on the Pseudo-Rigid-Body Model

A very practical and important alternative approach to the analysis of compliant mechanisms is the frequency response method. Frequency characteristics analysis of a system is important to gain an understanding of the dynamic performance of a compliant mechanism especially when it has a wide range of working frequencies. The resonance phenomenon can be examined through the amplitude-frequency characteristics of the system. As shown on the amplitude-frequency diagram, it is obvious that one must avoid driving this system at or near its natural frequency. Keyword: Compliant mechanisms, frequency response method, dynamic performance, resonance phenomenon, amplitude-frequency diagram, natural frequency.
Bachelorarbeit Dynamic All-Pairs Reachability on Partitioned Graphs

We performed an experimental study of several single-source reachability algorithms for the fully dynamic all-pairs reachability problem. Not only were the single-source algorithms generalized to all-pairs algorithms, but their graphs were also partitioned to further enhance their performance. Additionally we implemented some simple minded algorithms, since previous studies showed they were the overall best algorithms. We tested our algorithms on three different real-world graphs and the results show that a simple static bidirectional breadth-first search, which was to our knowledge never tested for this specific problem, beats every one of our optimized algorithms. Even with tuning the many parameters of our algorithms, we were not able to beat the static bidirectional search.