Miracle-dz/UniFAR-FTUs huggingface dataset:
Music Listening Intervention vs Local Anaesthetic Cream for Pain Management in Infants Undergoing Venepuncture: A Collaborative Trans-Disciplinary Research

1 ©Copyright 2018 by Ege University Faculty of Medicine, Department of Pediatrics and Ege Children’s Foundation The Journal of Pediatric Research, published by Galenos Publishing House. Ad dress for Cor res pon den ce Wen Fen Beh PhD, University of Malaya Cultural Centre, Department of Music, Kuala Lumpur, Malaysia Phone: +601 653 009 55 E-mail: behwenfen@hotmail.com ORCID ID: orcid.org/0000-0002-2974-1000 Re cei ved: 21.03. 2017 Ac cep ted: 21.07. 2017 1University of Malaya Cultural Centre, Department of Music, Kuala Lumpur, Malaysia 2Ministry of Health, Department of Pediatrics, Kuala Lumpur, Malaysia 3University Kebangsaan Malaysia Medical Centre, Department of Pediatrics, Kuala Lumpur, Malaysia Wen Fen Beh1, Mohd Nasir Hashim1, Wan Ju Tan2, Zarina Abdul Latiff3
On the non-equivalence of fundamental frequency and pitch in tonal description

This paper uses acoustical data from Chinese and Thai to examine the relationship between the acoustic and perceptual aspects of the linguistic category of Tone. Specifically, it questions the current assumption in linguidtics that tonal pitch is a function of fundamental frequency (F0). 1 In section 1 I characterise the way in which the relationship between tone and its acoustics is conceived in linguistics. Section 2 examines in some detail the relationship between F0 and linguistic pitch. Section 3 presents acoustic data from two tone languages which demonstrate that tonal pitch is not a straightforward function of F0.
05-02 Parallel Deflated CG Methods applied to Linear Systems from Moving Boundary Problems

In this report we give a short overview of aspects on parallel deflated conjugate gradient method which is applied on large, sparse, symmetric and semi-positive definite linear systems obtained from moving boundary problems. Moreover, we present some results of small numerical experiments. After introducing the Navier-Stokes equations for multiphase flows, the pressure correction method is described shortly. In this method the Poisson equation dominates and leads to an ill-conditioned and huge linear sytem. This system is solved with the conjugate gradient method preconditioned with incomplete Cholesky or block-Jacobi. To accelerate the convergence of the iterative method a deflation technique is incorporated. We end with some aspects on implementing the whole technique in a parallel environment.
0 8 ) 0 4 3 INTEGRAL and RXTE / ASM Observations on IGR J 17098-3628

Yu-Peng Chen a, Shu Zhang∗a, Nick Schurchb, Jian–Min Wanga,c, Werner Collmard, Ti–Pei Lia,e, Jin–Lu Qua, Cheng–Min Zhang f aKey Laboratory for Particle Astrophysics, Institute of High Energy Physics, 19B YuQuan Road, Beijing 100049, China bDepartment of Physics, University of Durham, South Road, Durham DH1 3LE, UK cTheoretical Physics Center for Science Facilities (TPCSF), CAS, China dMax-Planck-Institut für extraterrestrische Physik, P.O. Box 1603, D-85740 Garching, Germany eCenter for Astrophysics,Tsinghua University, Beijing 100084, China f National Astronomical Observatories, Chinese Academic of Sciences, Beijing 100012, China E-mail: chenyp@ihep.ac. cn
The role of phosphorus dynamics in tropical forests – a modeling study using CLM-CNP

Tropical forests play a significant role in the global carbon cycle and global climate. However, tropical carbon cycling and the feedbacks from tropical ecosystems to the climate system remain critical uncertainties in the current generation of carbon-climate models. One of the major un- certainties comes from the lack of representation of phospho- rus (P), currently believed to be the most limiting nutrient in tropical regions. Here we introduce P dynamics and C-N- P interactions into the CLM4-CN (Community Land Model version 4 with prognostic Carbon and Nitrogen) model and investigate the role of P cycling in controlling the productiv- ity of tropical ecosystems. The newly developed CLM-CNP model includes all major biological and geochemical pro- cesses controlling P availability in soils and the interactions between C, N, and P cycles. Model simulations at sites along a Hawaiian soil chronosequence indicate that the introduc- tion of P limitation greatly improved the model performance at the P-limited site. The model is also able to capture the shift in nutrient limitation along this chronosequence (from N limited to P limited), as shown in the comparison of model- simulated plant responses to fertilization with the observed data. Model simulations at Amazonian forest sites show that CLM-CNP is capable of capturing the overall trend in NPP (net primary production) along the P availability gradient. This comparison also suggests a significant interaction be- tween nutrient limitation and land use history. Model experi- ments under elevated atmospheric CO2 ((CO2)) conditions suggest that tropical forest responses to increasing (CO 2) will interact strongly with changes in the P cycle. We high- light the importance of two feedback pathways (biochemical mineralization and desorption of secondary mineral P) that can significantly affect P availability and determine the ex- tent of P limitation in tropical forests under elevated (CO 2). Field experiments with elevated CO2 are therefore needed to help quantify these important feedbacks. CO2 doubling model experiments show that tropical forest response to ele- vated (CO2) can only be predicted if the interactions between C cycle and nutrient dynamics are well understood and rep- resented in models. Predictive modeling of C-nutrient inter- actions will have important implications for the prediction of future carbon uptake and storage in tropical ecosystems and global climate change.
Involvement of nuclear NHERF 1 in colorectal cancer progression

NHERF1 (Na+/H+ exchanger regulatory factor 1) is expressed in the luminal membrane of many epithelia, and associated with proteins involved in tumor progression. Alterations of NHERF1 expression in different sites of metastatic colorectal cancer (mCRC) suggest a dynamic role of this protein in colon carcinogenesis. We focused on the observation of the altered expression of NHERF1 from non-neoplastic tissues to metastatic sites by immunohistochemistry. Moreover, we studied, by immunofluorescence, the colocalization between NHERF1 and the epidermal growth factor receptor (EGFR), whose overexpression is implicated in CRC progression. NHERF1 showed a different localization and expression in the examined sites. The distant non-neoplastic tissues showed NHERF1 mostly expressed at the apical membrane, while in surrounding non-neoplastic tissue decreased the apical membrane and increased cytoplasmic immunoreactivity. In adenomas a shift from apical membrane to cytoplasmic localization and nuclear expression were observed. Cytoplasmic staining in the tumor, and metastatic sites was stronger than surrounding non-neoplastic tissue. Furthermore, nuclear NHERF1 expression was noted in 80% of all samples and surprisingly, it appeared already in adenoma lesions, suggesting that NHERF1 represents an early marker of pre-morphological triggering of colorectal carcinogenesis. Then, in few tumors a positive direct correlation between membrane NHERF1 and EGFR expression was evidenced by their colocalization. Nuclear NHERF1 expression, present in the early stages of carcinogenesis and related with poor prognosis, may contribute to the onset of malignant phenotype. Specifically, we hypothesize the direct involvement of nuclear NHERF1 in both carcinogenesis and progression and its role as a potential colorectal cancer marker.
Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain

With the rising popularity of social media in the society and in research, analysing texts short in length, such as microblogs, becomes an increasingly important task. As a medium of communication, microblogs carry peoples sentiments and express them to the public. Given that sentiments are driven by multiple factors including the news media, the question arises if the sentiment expressed in news and the news article themselves can be leveraged to detect and classify sentiment in microblogs. Prior research has highlighted the impact of sentiments and opinions on the market dynamics, making the financial domain a prime case study for this approach. Therefore, this paper describes ongoing research dealing with the exploitation of news contained sentiment to improve microblog sentiment classification in a financial context.
Chemical composition and biological activity of volatile extracts from leaves and fruits of Schinus terebinthifolius Raddi from Tunisia.

Volatile oils composition from leaves and ripe fruits of pink pepper (Schinus terebinthifolius Raddi) growing in Tunisia were investigated using GC-FID and GC-MS techniques. Volatile oil extraction was achieved by hydrodistillation (HD) using a Clevenger apparatus and by supercritical fluid extraction (SFE) using carbon dioxide. All plant organs, gave SFE extracts chiefly composed by -pinene, -phellandrene, phellandrene, germacrene D and bicyclogermacrene. In the case of the fruits, both extraction techniques gave volatile oils of similar composition; whereas the comparison between the HD and SFE leave oils revealed important differences in the content of -pinene (6.1 % vs traces), -phellandrene (22.7 % vs 0.8 %) and phellandrene (14.6 % vs 1.2 %). All volatile samples were evaluated against yeasts and dermatophyte strains, being more active against Cryptococcus neoformans, particularly the volatile oil from the fruits, with MIC values of (0.32-0.64) mg/mL. Moreover, this oil revealed an inhibitory effect on germ tube formation in C. albicans at sub-inhibitory concentration. At the concentration of MIC/8 the inhibition of filamentation was more than 70 %.
Big Data under the Microscope and Brains in Social Context

Methods for analyzing neural and computational social science data are usually used by different types of scientists and generally seen as distinct, but they strongly complement one another. Computational social science methodologies can strengthen and contextualize individual-level analysis, specifically our understanding of the brain. Neuroscience can help to unpack the mechanisms that lead from micro- through meso- to macro-level observations. Integrating levels of analysis is essential to unified progress in social research. We present two example areas that illustrate this integration. First, combining egocentric social network data with neural variables from the “egos” provides insight about why and for whom certain types of antismoking messages may be more or less effective. Second, combining tools from natural language processing with neuroimaging reveals mechanisms involved in successful message propagation, and suggests links from microscopic to macroscopic scales.
Nitrate removal from water using UV-M/S 2 O 42 2 advanced reduction process

In this work, a new process called advanced reduction process (ARP) was used for nitrate removal from water. This ARP process combines sodium dithionite as reducing agent with ultraviolet irradiation using medium pressure lamps (UV-M) as an activating method. Experimental results showed that UV-M/S 2 O 42 - process achieved almost complete removal of nitrate from aqueous solutions containing 25 mg NO 3 - /L using stoichiometric dose of dithionite of 68.8 mg/L at neutral pH conditions. Analysis of ﬁnal products and material balance conﬁrmed that NO 3 ions were reduced to ammonium with formation of nitrite as intermediates in addition to the formation of small amounts of volatile species, mainly ammonia and nitrogen gas. Effects of certain experimental parameters including dithionite dose, initial pH, initial nitrate concentration, and UV light source on the kinetics and efﬁciency of nitrate reduction were evaluated. Increasing dithionite dose aug-mented the rate of nitrate reduction and enhanced the efﬁciency of ARP process. Dithionite doses higher than stoichiometric ratios led to complete removal of nitrate in shorter reaction time. UV-M/S 2 O 42 - process was found to be effective only under neutral pH or alkaline conditions, and its removal efﬁciency is negligible in acidic medium (pH \ 4). Irradiation with UV-M was more effective than low pressure or narrow band lamps. These results can be attributed to the contribution of several mechanisms for nitrate reduction to ammonium. These include the following: direct photolysis, chemical nitrate dithionite, and mediated reduction of nitrate by free reducing radicals.
Plane quartics over $\mathbb {Q}$ with complex multiplication

We give examples of smooth plane quartics over QQQ with complex multiplication over Q¯¯¯¯Q¯\overline{Q} by a maximal order with primitive CM type. We describe the required algorithms as we go, these involve the reduction of period matrices, the fast computation of Dixmier-Ohno invariants, and reconstruction from these invariants. Finally, we discuss some of the reduction properties of the curves that we obtain.
Endometrial Intraepithelial Neoplasia (EIN) In An Endometrial Polyp

Abstract Endometrial intraepithelial neoplasia (EIN) is a monoclonal neoplastic cell proliferation of the endometrium associated with a significantly increased risk of endometrioid endometrial adenocarcinoma. We herein present the case of a 58-year-old female patient who underwent a hysterectomy with bilateral salpingo-oophorectomy because of the existence of endometrial intraepithelial neoplasia in an endometrial polyp. The patient had irregular uterine bleeding, which lasted 10 days. An endometrial polyp was diagnosed by ultrasound examination. The polyp was located in the isthmus of the uterus, on the back wall, and measured 32 mm × 25 mm. The patient underwent fractional dilation and curettage, and the specimens were subjected to a histopathological examination. The histopathological findings were EIN, endometrioid type, a focus of which was found within the endometrial polyps, as well as the endometrial polyp and proliferative endometrium. The endocervical tissue was normal. Given the age of the patient and the histopathological findings, she underwent a total abdominal hysterectomy with bilateral salpingo-oophorectomy. The final histopathological findings were EIN, endometrioid type with a focus found within the endometrial polyp; endometrial polyp; simple hyperplasia; chronic inflammation of the uterine cervix; hyperkeratosis of the cervical squamous epithelium; and cervicitis chronica. There was also hydrosalpinx of the left fallopian tube, and cystic follicles in the left ovary. There was no significant morphological change in the right ovary or fallopian tube. The surgical and postoperative course were normal. The patient was sent home on the fifth postoperative day in good general condition. A check-up performed one month after surgery showed normal findings.
Prognostic Role of Serum Uric Acid in Critically Ill Patients with Non-ST Elevation Acute Myocardial Infarction

1 Abstract Cardiovascular disease (CVD) is the leading cause of death worldwide. Several epidemiological studies have proved that serum uric acid (SUA) is associated with CVD. It is unclear whether increased levels of SUA in CVD promotes or protects against cardiovascular damage. In the present study, we sought to investigate whether the levels of SUA and cardiac biomarkers (Creatine kinase (CK)-MB and Troponin-I) determined on admission will serve as predictors of mortality in non-ST Elevation Myocardial Infarction (NSTEMI) patients during short term in-hospital stay. The results revealed that the mean levels of SUA in males were significantly higher (P 5 mg/dl (females) as compared to control subjects or those discharged. In conclusion, determination of circulating CK-MB and TPN-I levels on admission adds prognostic indicator value to SUA in early prediction of mortality in NSTEMI patients.
Doubly geometric processes and applications 1

3 The geometric process has attracted extensive research attention from authors in reliability 4 mathematics since its introduction. However, it possesses some limitations, which include that: 5 (1) it can merely model stochastically increasing or decreasing inter-arrival times of recurrent 6 event processes, and (2) it cannot model recurrent event processes where the inter-arrival time 7 distributions have varying shape parameters. Those limitations may prevent it from a wider 8 application in the real world. 9 In this paper, we extend the geometric process to a new process, the doubly geometric process, 10 which overcomes the above two limitations. Probability properties are derived and two methods 11 of parameter estimation are given. Application of the proposed model is presented: one is on 12 fitting warranty claim data and the other is to compare the performance of the doubly geometric 13 process with the performance of other widely used models in fitting real world datasets, based on 14 the corrected Akaike information criterion. 15
R Sub-Markov Random Walk for Image Segmentation

A novel sub-Markov random walk (subRW) algorithm with label prior is proposed for seeded image segmentation, which can be interpreted as a traditional random walker on a graph with added auxiliary nodes. Under this explanation, we unify the proposed subRW and other popular random walk (RW) algorithms. This unifying view will make it possible for transferring intrinsic findings between different RW algorithms, and offer new ideas for designing novel RW algorithms by adding or changing auxiliary nodes. To verify the second benefit, we design a new subRW algorithm with label prior to solve the segmentation problem of objects with thin and elongated parts. The experimental results on both synthetic and natural images with twigs demonstrate that the proposed subRW method outperforms previous RW algorithms for seeded image segmentation.
p 53-dependent Down-regulation of Telomerase Is Mediated by p 21 waf 1 *

Inactivation of p53 and activation of telomerase occur in the majority of human cancers, raising the possibility of a link between these two pathways. Overexpression of wild-type p53 down-regulates the enzymatic activity of telomerase in various cancer cell lines through transcriptional repression of its catalytic subunit, human telomerase reverse transcriptase (hTERT). In this study, we re-evaluated the role of p53 in telomerase regulation using isogenic cell lines expressing physiological levels of p53. We demonstrate that endogenous wild-type p53 was able to down-regulate telomerase activity, hTERT mRNA levels, and promoter activity; however, the ability to repress hTERT expression was found to be cell type-specific. The integrity of the DNA-binding core domain, the N-terminal transactivation domain, and the C-terminal oligomerization domains of p53 was essential for hTERT promoter repression, whereas the proline-rich domain and the extreme C terminus were not required. Southwestern and chromatin immunoprecipitation experiments demonstrated lack of p53 binding to the hTERT promoter, raising the possibility of an indirect repressive mechanism. The down-regulation of hTERT promoter activity was abolished by a dominantnegative E2F1 mutant. Mutational analysis identified a specific E2F site responsible for p53-mediated repression. Knockdown of the key p53 transcriptional target, p21, was sufficient to eliminate the p53-dependent repression of hTERT. Inactivation of the Rb family using either viral oncoproteins or RNA interference attenuated the repression. Inhibition of histone deacetylases also interfered with the repression of hTERT by p53. Therefore, our results suggest that repression of hTERT by endogenous p53 is mediated by p21 and E2F.
Gradient-based optimization of closest-fit funicular structures

The aim of this research is to solve an inverse form-finding problem: construct funicular, axial-only structures as close as possible to a target surface defined by the designer. The scope is limited to gridlike, node-and-branch only networks, which can be solved efficiently using the force density method (FDM). This problem is formulated as a least-squares nonlinear optimization problem, and is solved using the constrained nonlinear solvers implemented in MATLAB. Two nonlinear constrained solving methods, interior-point and trust-reflective region, are found to be the fastest with a large convergence domain. The first and second-order derivatives of the objective function are found analytically. Lastly, the problem is shown to have several degeneracies; one in particular cannot be removed with physical arguments and leads to new insights in the numerical form finding of funicular surfaces.
Isolation and Characterization of Acidothermus cellulolyticus gen. nov., sp. nov., a New Genus of Thermophilic, Acidophilic, Cellulolytic Bacteria

Twelve isolates of thermophilic, acidophilic, cellulolytic bacteria were obtained from three different primary enrichment cultures from acidic hot springs at Yellowstone National Park, Wyo. The three isolates which had the highest cellulolytic activity, as shown by the diameter of clearing zones surrounding colonies on cellulose agar plates, were selected for intensive study. All were gram-variable, nonsporulating aerobic rods which formed no pigment. They grew at 37 to 65°C, with optimum growth at 55°C. The pH range for growth was 3.5 to 7, with an optimum pH of 5. The guanine-plus-cytosine content of the deoxyribonucleic acid was 60.7 ± 0.6 mol%. The organisms are resistant to penicillin G at 100 μg/ml. They share several important features with Thermus strains, namely heterotrophic, aerobic, and thermophilic mode of growth; morphological features; sensitivity to lysozyme; and presence of catalase. They differ in other important aspects, such as the pattern of carbon sources utilized for growth, the pH and temperature profiles of growth, the pattern of sensitivity to antibiotics, the guanine-plus-cytosine content of DNA, the composition of amino acids in the cell walls, and the structure of the cell walls. Thermus species are very sensitive to penicillin G, whereas our strains are resistant. Our strains also are different, in important respects, from the genus Thermomicrobium. Therefore, we designate the organism Acidothermus cellulolyticus gen. nov., sp. nov., of which the type strain is our strain 11B, ATCC 43068.