Miracle-dz/UniFAR-FTUs huggingface dataset:
CIC-DUX4 expression drives the development of small round cell sarcoma in transgenic zebrafish: a new model revealing a role for ETV4 in CIC-mediated sarcomagenesis

CIC-DUX4 sarcoma is a rare subtype of sarcoma characterized by a devastating prognosis and resistance to conventional therapeutic strategies. So far, only few models of the disease have been reported, and its biological mechanisms remain to be elucidated. We established mosaic transgenic zebrafish expressing the human CIC-DUX4 fusion under the control of the β-actin promoter. CIC-DUX4 transgenic fish rapidly developed aggressive soft tissue tumors with a high penetrance. RNAseq profiling revealed that fish tumors shared major common targets with human tumors and cell lines, including the overexpression of the Pea3 transcription factors, etv4 and etv5. Tumor development was strongly impaired in etv4-deficient zebrafish, implicating Etv4 as a critical effector of CIC-DUX4-mediated oncogenesis. Altogether, we report here the first in vivo model of CIC-DUX4 sarcoma in zebrafish, which will represent a major tool for future preclinical research.
Research on Robotic High-Precision Target Detection Technology for Transmission Lines Based on Convolutional Neural Networks

In recent years, machine vision detection technology has been widely used in various fields, and deep learning, as an emerging visual detection technology, has shown excellent detection performance. In this paper, aiming at the bolt fastening end operation device of the live working robot on the transmission line, the visual detection algorithm is studied to improve the efficiency of the robot operation. In view of the poor robustness and high false detection rate of the visual detection algorithm designed by Hough and SVM, it is proposed to use the Faster R-CNN network with leading performance in deep learning to design the bolt detection algorithm. The size of bolts appearing in the camera is analyzed, and suitable RPN parameters are proposed. Aiming at the problem that the network model cannot be fitted due to insufficient samples, a sample expansion method is proposed to increase the number of samples. Finally, the bolt detection network is obtained through joint training. Experiments prove that the designed Faster R-CNN detection algorithm can effectively detect bolts, greatly improving the efficiency of robot operations, and has broad application prospects.
MODELO DE GESTÃO EM ORGANIZAÇÕES CONTÁBEIS: UM ESTUDO SOBRE A INTERAÇÃO ENTRE O GRAU DE AMBIDESTRALIDADE E A MATURIDADE DO SISTEMA DE CONTROLE GERENCIAL

The objective of this study was to analyze the relationship between the degree of ambidexterity and the maturity of the managerial control in accounting offices of the Curitiba-PR region. Organizational ambidexterity refers to the ability of an organization to simultaneously orchestrate its exploitation actions (incremental innovations) and its exploration actions (radical innovations). Management control is a mechanism that ensures that people will behave in a way that strives to achieve the goal of the organization. The methodology of the research was exploratory, quantitative, descriptive and transversal, being the research subject the owner or the main manager in 21 accounting offices. The main contribution of the research is to confirm the hypothesis that there is a high, positive and significant (Pearson's r = 0.75 and Spearman's r = 0.820) relationship between the ambidexterity degree factors and the maturity of the managerial control system of the accounting organizations investigated.
Multi-layer Substrates for Decoupling of Antenna Array with Pattern Conformal

A decoupling method of multi-layer substrates is introduced. In order to prove the feasibility and advantage of this method, a 2*2 broadband omnidirectional antenna array is adopted. The antenna array consists of four identical elements, working at Wi-Fi 6E band (5.15 - 7.125 GHz), and the distance between adjacent elements is 50 mm (about 1 λ0). After optimizing the thickness, permittivity and number of layers of the substrates, three-layer substrates are designed above the antenna array. In this way, the isolation degree between antenna array elements is greatly improved in the whole working frequency band, all of which reach more than 25 dB. In addition, compared with the decoupled surface which is composed of a substrate and some metal patches, this method has better effect on the radiation pattern conformal.
How to improve foraging efficiency for restocking measures of juvenile Baltic sturgeon (Acipenser oxyrinchus)

Atlantic sturgeon (Acipenser oxyrinchus), also known as Baltic sturgeon, is considered missing or extinct in German waters. Current conservation efforts focus on re-stocking activities, but classical hatchery rearing may reduce the fitness of the respective juveniles. In this study, we evaluated if foraging efficiency can be improved by short term training. Over a period of 14 d, we kept individuals of the training group in a raceway and fed them chironomids buried in a small sand spot to stimulate benthic feeding behavior while fish of the control group were fed in tanks without substrate. Thereafter, each fish was transferred to a raceway entirely covered with sand. For feeding, chironomids were randomly buried in the sand. During the first 7 days, trained fish recovered the feed significantly faster than untrained fish of the control group. Gene expression revealed an up-regulation in neurod1 in all brain regions after 14 d of training. Thus, this study suggests that foraging efficiency can be improved through short-time training thus improve fitness upon restocking into the wild.
Effects of sea urchin (Diadema setosum) gonad extracts on gene expression of FOXP3 and the production of cytokine on Salmonella typhi-induced mice

The gonad of the sea urchin, Diadema setosum, is highly nutritious and has demonstrated importance for the regulation of inflammation response. However, no previous research has evaluated the capacity of sea urchin gonads to regulate inflammatory response. Our objectives were to examine the effect of gonad extracts of D. setosum on expression of mRNA FoxP3 gene and the production of cytokine (Interferon-gamma (IFN-y) and Interleukin-10 (IL-10) in mice after the induction of lipopolysaccharide (LPS) using Salmonella typhi. Fifteen male mice were divided into two groups (intervention and control), before and after intraperitoneal injection of S. typhi. The intervention group was treated with two dosages of the extracted gonad (100 and 200 mg/kg of body weight). The control group was fed with natural diet only. We found that the expression of gene FoxP3 and production of cytokine exhibited a short decrease after 24 hours of LPS induction and then returned to pre-induction levels. Notably, the expression of FoxP3 and production of IFN-y in the control group continued to decline significantly until day 7. Conversely, the production of IL-10 continued to increase significantly. We conclude that the gonad extract of D. setosum is effective for the regulation of immune response and it has strong potential to be developed as a dietary supplement for acute and chronic inflammation.
Evaluation of chromosomal instability in somatic cells of farmed foxes

Abstract The micronucleus (MN) test is a common tool used to evaluate cellular genetic instability at the chromosomal level. It determines the effect of physical, chemical and environmental factors on DNA, and thus the body's individual resistance to harmful substances. The karyotypes of blue and silver foxes and their interspecific hybrids are characterized by morphological and structural variation. This variation is partly attributable to the presence of chromosomal polymorphism, which may significantly influence the stability of genetic material in the cells of these species. The objective of the study was to evaluate genetic material stability in selected Canidae species. To this end, analyses using the MN test were performed. Binucleated cells (BNCs) were analysed in microscopic preparations, and the number of micronuclei was determined within these cells. For the proportions of both MN and BNCs, highly significant differences were observed between the fox species. The interspecific hybrids differed from the other fox species in MN percentage. The lowest average was noted in blue foxes (3.33) and the highest in interspecific hybrids (15.21).
Complex Pattern of Ploidal and Genetic Variation in Seseli libanotis (Apiaceae)

Using flow cytometry we explored the cytogeography of Seseli libanotis (Apiaceae) from central Europe and several adjacent areas. We detected diploids and tetraploids, but no triploids. Diploids are distributed across nearly all study areas, whereas tetraploids occur in Czechia, the Pannonian lowlands of northeastern Austria and western Slovakia, in southeastern Slovakia, in the Eastern Carpathians and the Apuşeni Mts in Romania, and in Croatia. The distribution of cytotypes is nearly allopatric. Only in some regions on the northern border of the Pannonian basin, in southern Poland and in Romania they are parapatric. Only one mixed-ploidy population (located in Poland) was detected. In Czechia and Slovakia, we did not find differences in the elevational distributions of cytotypes; tetraploids, however, seemed to have a broader elevational range and slightly prevail at lower elevations. Using sequencing of the trnL-trnF region of cpDNA we detected high haplotype diversity with no relation to cytogeography (longitude, latitude or elevation).
Infrared spectra of the solvated hydronium ion: Vibrational predissociation spectroscopy of mass-selected H3O+.cntdot.(H2O)n.cntdot.(H2)m

Infrared spectra of the mass-selected clusters H{sub 3}O{sup +}{sm bullet}(H{sub 2}O){sub n}{sm bullet}(H{sub 2}) and H{sub 3}O{sup +}{sm bullet}(H{sub 2}){sub n} (n = 1,2, and 3) were observed by vibrational predissociation spectroscopy. The clusters were mass-selected and then trapped in a radio frequency ion trap. Cluster dissociation by loss of H{sub 2} followed excitation of OH or H{sub 2} stretches. Spectra were recorded by detecting fragment ions as a function of laser frequency. From spectra of H{sub 3}O{sup +}{sm bullet}(H{sub 2}O){sub n}{sm bullet}(H{sub 2}), the authors were able to determine the spectrum of the hydrated hydronium ion H{sub 3}O{sup +}{sm bullet}(H{sub 2}O){sub n}, because the H{sub 2} formed weak complexes with the hydrates. Spectra in the OH stretching region (3,000-4,000 cm{sup {minus}1}) were observed at a resolution of 1.3 cm{sup {minus}1} for clusters n = 1,2, and 3. The structure of the clusters and the perturbing effect of the H{sub 2} were inferred from a comparison with recent unpublished ab initio vibrational frequencies calculated by Remington and Schaefer.
Hyperhomocysteinemia Exaggerates Adventitial Inflammation and Angiotensin II−Induced Abdominal Aortic Aneurysm in Mice

Rationale:A number of epidemiological studies have suggested an association of hyperhomocysteinemia (HHcy) and abdominal aortic aneurysm (AAA), but discrepancies exist. In addition, we lack direct evidence supporting a causal role. Objective:We determined the association and contribution of HHcy to AAA formation. Methods and Results:We first performed a meta-analysis of studies involving 1489 subjects and found a strong association of HHcy and AAA (odds ratio, 7.39). Next, we used angiotensin II–infused male apolipoprotein E–deficient mice and tested whether HHcy contributes to AAA pathogenesis. Homocysteine (Hcy) supplement (1.8 g/L) in drinking water resulted in mild HHcy. Intriguingly, HHcy greatly increased the incidence of angiotensin II–induced AAA and aortic dissection in apolipoprotein E–deficient mice (vehicle versus Hcy: 50% versus 100%; P<0.05). Histology indicated HHcy markedly exaggerated aortic adventitial inflammation. Increased levels of proinflammatory interleukin-6 and monocyte chemoattr.
Influence of the gut microbiome on plasma metabolite patterns

The gut microbiome has become a burgeoning field of research and is proven to play a role in in many host physiological aspects, also contributing to the blood metabolome that is otherwise produced by tissues of the host organism. In order to increase the mechanistic understanding of how the microbiome influences its host health, there is a need to integrate knowledge of the composition of the gut microbiome with its functionality in terms of microbiota-mediated metabolic processes. The aim of this project was to obtain detailed insight in the mammalian-microbiome co-metabolism of endogenous metabolites and the extent to which the microbiome influences the plasma metabolome observed. This was achieved with the help of the MetaMap®Tox database in which the metabolome and toxicity data of more than 800 compounds are stored. To elucidate this interaction, metabolites produced by the gut microbiome in the blood of our animal model, Wistar rats, had to be determined. Therefore, antibiotics were used to modulate the microbial communities of Wistar-rats. After 28-day oral administration, metabolomics of plasma, feces, and cecum-content was done. Additionally, DNA was extracted from rat feces and the 16S subunit was sequenced to perform a core diversity analysis. Specific plasma metabolome patterns were established, and microbiome-related metabolites identified as key metabolites in MetaMap®Tox. Metabolites such as hippuric acid, indole derivates and glycerol appeared to be microbiome-derived or -associated plasma metabolites. In general, most changes were observed in metabolites belonging to the class of bile acids, complex lipids, fatty acids and related metabolites, as well as amino acids and related metabolites. Especially abrupt changes observed in the bile acid pool after antibiotic administration evidenced a strong influence of the microbiome on bile acid metabolism. In both feces and cecum-content, where almost all plasma metabolites could be determined as well, a treatment-related effect was observed, as well as only minimal, if any, differences between samples of male and female animals. The effects of the tested antibiotics, each possessing a different activity spectrum, could be separated from each other on the basis of the feces and cecum content metabolome. Largest changes were observed for the classes of lipids, bile acids and amino acids. It could also be shown that metabolome changes can be detected equally well in feces as in the cecum content, thus allowing to use a non invasive method for measurements of studies on metabolism by the gut microbiota. In conclusion, the functional microbial changes of the gut microbiome had to be assessed and the interactions between gut microbes and the host by applying metabolomics and taxonomic profiling had to be elucidated. The results of this thesis suggest that plasma and feces based metabolic profiling via a targeted analysis turned out to be a suitable tool to investigate the microbial functionality of the gut microbiome.
A Comprehensive Data-Driven Characterization of Organ Transplantation

Title: A Comprehensive Data-Driven Characterization of Organ Transplantation Author: Diego Marconi Pinheiro Ferreira Silva Major Advisor: Ronaldo Menezes, Ph.D. Organ transplantation yearly saves thousands of lives worldwide; yet, 22 people still die each day only in the USA due to the ever-increasing imbalance between the supply and demand of organs. Currently, this organ-allocation gap is mainly tackled by optimally allocating organs based on major survivability factors (i.e., efficiency), by providing the population equal access to transplantation (i.e., equity), and by promoting population health literacy (i.e., awareness). Efficiency, equity, and awareness impact each other; yet, the state-of-the-art in organ transplantation still lacks the characterization of awareness, and the trade-off between these aspects are not fully-understood. Given the current availability of data and computational power, this dissertation proposes a comprehensive datadriven characterization of organ transplantation that accounts for efficiency, equity, and awareness by (i) integrating available data sets; (ii) proposing a sensor for population awareness using social media; and (iii) proposing a novel nonparametric probabilistic data-intensive framework. The dissertation demonstrates that the proposed characterization can uncover patterns of efficiency, equity, and awareness, and has the potential to characterize organ transplantation in a unified manner.
Genome-wide dynamics of RNA synthesis, processing and degradation without RNA metabolic labeling

The kinetic rates of RNA synthesis, processing and degradation determine the dynamics of transcriptional regulation by governing both the abundance and the responsiveness to modulations of premature and mature RNA species. The study of RNA dynamics is largely based on the integrative analysis of total and nascent transcription, with the latter being quantified through RNA metabolic labeling. We describe here INSPEcT-, a computational method based on mathematical modeling of intronic and exonic expression, able to derive the dynamics of transcription from steady state or time course profiling of just total RNA, without requiring any information on nascent transcripts. Our approach closely recapitulates the kinetic rates obtained through RNA metabolic labeling, improves the ability to detect changes in transcripts half-lives, reduces the cost and complexity of the experiments, and can be adopted to study experimental conditions where nascent transcription cannot be readily profiled. Finally, we applied INSPEcT- to the characterization of post-transcriptional regulation landscapes in dozens of physiological and disease conditions. This approach was included in the INSPEcT Bioconductor package, which can now unveil RNA dynamics from steady state or time course data, with or without the profiling of nascent RNA.
Emerging Markets and Volatility Spillover Effects: Empirical Evidence from Regional Emerging Economies of Pakistan, China, India, and Bangladesh

Emerging markets and volatility spillover effects remained a highly focused area in the field of financial economics. Therefore, we have empirically testified the volatility spillover effects between markets of emerging economies i.e Pakistan, China, Bangladesh, and India during the period from 1st January 2000 to 31st December 2015. We used Multivariate GARCH and causality models to identify the spillover effects. It is concluded that there exists significant evidence of spillover effect from the market of Pakistan to India, India to China and from China to Pakistan. However, the larger negative shift in the volatility occurs more frequently than positive shocks. Hence it is concluded that the impact of own spillovers of the markets is much higher than the impact of cross-market spillovers during this period.
Accuracy of Diagnosis Coding Based On ICD-10

Background: Accuracy of diagnosis code in medical record is responsible for hospital medical billing. Accurate billing is crucial for the financial health of medical institutions. Billing and coding are based on what services are documented by the provider and selection of the appropriate code is most commonly done by the provider or a coding specialist. This study aims to determine inaccurate coding diagnosis at Semen Padang Hospital from January to March in 2017.Material and method: This research was conducted at Semen Padang Hospital, West Sumatera, Indonesia from January to March in 2017. The study used descriptive method with a qualitative approach. The data was collected from the medical records department. The population is overall object of research. The population is all abstraction data of medical record file from January to March in 2017, namely 2342 medical record files, used total sampling technique. Research variable is accuracy and inaccuracy diagnosis code based on ICD-10 from abstraction data inpatient patient. Accurate is compatible diagnosis code according to the code in ICD 10.Results: 95.8 % (2229) diagnosis accurate and 4.8 % (113) diagnosis inaccurate based on ICD-10. Inaccuracy diagnosis codes are acute appendicitis with generalized peritonitis (K35.2) 6.19 % (7 diagnosis), acute appendicitis, other and unspecified (K35.8) 5.3% (6 diagnosis) and chronic kidney disease stage 5 (N18.5) 88.51% (100 diagnosis). Conclusion: Accuracy code was 95,8% and inaccurate was 4,8 %. Chronic Kidney diseases is the most inaccurate code.
MULTILINGUAL SPEECH TO TEXT CONVERSION - A REVIEW

Speech is the first major primary need and the most convenient means of communication among individuals. Automatic Speech Recognition (ASR) introduces natural phenomena for man-machine communication. A great deal of work on various aspects of speech recognition and its implementations has been conducted for more than three decades. Speech recognition systems allow users to use speech as another form of input to communicate easily and efficiently with applications. A detailed study on automatic speech recognition is carried out and this paper offers an overview of the major technological perspective and appreciation of the fundamental progress of multilingual translation of speech-to-text conversion and also provides overview technique developed in each stage of speech-to-text conversion classification. It is possible to build an automated application to resolve the language barrier between countries and states within the world. The specification must include 4 modules of voice recognition, translation and speech synthesis, and the translated language text is provided. The goal of this review paper is to recapitulate and match different speech recognition systems and approaches for the conversion of multilingual speech to text.
The mitochondrial genome of clearhead icefish Protosalanx chinensis (Salmoniformes: Salangidae)

Abstract The complete mitochondrial genome of Protosalanx chinensis was determined to be 16,879 bp in length. It consists of 13 protein-coding genes, 22 tRNAs, 2 ribosomal RNAs, and a control region. The gene composition and the structural arrangement of the P. chinensis complete mtDNA were identical to most of the other vertebrates. The molecular data here we presented could play a useful role to study the evolutionary relationships and population genetics of Salangidae fish.