Miracle-dz/UniFAR-FTUs huggingface dataset:
Antibacterial Activity and Cytotoxicity against MCF-7 Breast Cancer Cell Lines of Tabernaemontana pandacaqui Lam . ( Apocynaceae )

Tabernaemontana pandacaqui Lam. is a widely distributed plant species in the Philippines. It is used as an herbal medicine and an ornamental plant. Limited studies had been done on the potential use of T. pandacaqui as alternative medicine compared to other Tabernaemontana species. In this study, antibacterial activity and cytotoxicity of T. pandacaqui were determined using disc diffusion and MTT assays using ethanolic extracts from wild type and dwarf cultivar vegetative parts. Disc diffusion assay was done against Staphylococcus aureus, Bacillus cereus and Escherichia coli. The stem of the wild-type obtained the highest antibacterial activity (33.33 mm) against B. cereus at 100 mg/mL. Roots of wild-type and dwarf cultivar exhibited consistent antibacterial activity against all bacterial strains used. MTT assay was done using HTB-22 MCF-7 human breast adenocarcinoma cells. The root of dwarf cultivar extract showed highest cytotoxicity at 5 and 50 μg/mL concentrations. The observed bioactivities may be due to alkaloids present in the plant samples which are abundantly found in the cortex, pericycle and near epidermal tissues. Saponins tested positive only in old roots of dwarf cultivar of T. pandacaqui prominently observed at or near the pericycle and the branching root.
Creating Space for Children’s Voices: Utility of the Collage Life Story Elicitation Technique

A challenge for many School-Based Family Counseling (SBFC) practitioners, child psychotherapists and researchers are finding ways to give voice to children and eliciting trustworthy and detailed narratives that could serve as resource for understanding the needs of young clients in the context of all their interpersonal networks. Children are often reticent when asked to self-disclose and tell their stories during consultation. The purpose of the present study was to examine the utility of five sequential steps constituting the Collage Life Story Elicitation Technique (CLET) for scaffolding storytelling among children in middle childhood (aged 9-12 years). Using the CLET for data collection and conducting an interpretive analysis, the researchers explored the performance of 38 middle-childhood children living in three different settings. Findings suggest that the five sequential steps of the CLET adequately and satisfactorily combine to stimulate and elicit rich data and help children to construct their narratives and represent the challenges they face in everyday living. We discuss the application of CLET in SBFC practice as tool when screening and intervention planning for children’s perspectives pertaining to a range of topics regarding each of the four quadrants as proposed in the SBFC metamodel.
WHICH REGULATIONS REDUCE CORRUPTION? EVIDENCE FROM THE INTERNAL RECORDS OF A BRIBE-PAYING FIRM

This paper documents pervasive corruption in government procurement and evaluates the effect of auction regimes on kickbacks, using the internal records from an Asian trading firm. The average kickback was 14.7 percent of the product cost when auctions were not required. The government mandated scoring auctions in 2001, and strengthened them to price-only auctions in 2004. Exploiting a quasi-experimental design, I find that price-only auctions are much more effective than scoring auctions in reducing corruption. Moreover, these mandatory auctions discouraged some corrupt officials from running secret auctions to identify the largest bribe-giver, therefore allocating the contracts to less efficient firms.
Experiments on Non-native Speech Assessment and its Consistency

In this paper, we report some preliminary experiments on automated scoring of non-native English speech and the prompt spe-ciﬁc nature of the constructed models. We use ICNALE, a publicly available corpus of non-native speech, as well as a variety of non-proprietary speech and natural language processing (NLP) tools. Our re-sults show that while the best performing model achieves an accuracy of 73% for a 4-way classiﬁcation task, this performance does not transfer to a cross-prompt evaluation scenario. Our feature selection experiments show that most predictive features are related to the vocabulary aspects of speaking proﬁciency
Reconstruction of the Earth Surface Potential Distribution using Radial Basis Functions

A credible reconstruction of a continuous two-dimensional earth surface potential distribution from a discrete set of noisy samples is essential for correct identification of regions with high values of touch and step voltages, as a part of grounding grid safety assessment procedure. This research provides some new and useful insights on the earth surface potential distribution reconstruction quality, focused mainly on the most commonly used radial basis function (RBF) interpolation kernels. The RBF approach to reconstruction was chosen because of the underlaying algorithm simplicity and the fact that it provides natural mathematical framework for smooth interpolation and approximation of potential fields from irregular sampling sets. Since the quality of potential distribution reconstruction is heavily influenced by the choice of interpolation method, sampling layout and a priori knowledge of the grounding grid structure under test, this research also elaborates some heuristic guidelines for planning proper sampling procedure and illustrates some examples of reconstructed functional shape distortions due to poor sampling layouts.
Intravenous administration of gadolinium diethylene trianminepentaacetic acid affects diffusion-weighted imaging of focal liver lesions

Objectives: The present study is to investigate whether intravenous administration of gadolinium-diethylene-trianminepentaacetic acid (Gd-DTPA) significantly affects diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) values of focal liver lesions (FLLs). Methods: A total of 26 patients with 26 FLLs, including 6 hemangioma and 20 hepatocellular carcinoma, underwent DWI with b value of 600 s/mm2 before and after intravenous administration of Gd-DTPA. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of FLLs were calculated on DWI. ADC values of FLLs were measured on ADC maps. The statistical significance of differences between precontrast and postcontrast data was determined using paired t-test. Results: On DWI, the SNR and CNR of FLLs on postcontrast DWI were significantly higher than those on precontrast DWI (P=0.036 and P=0.008, respectively). ADC values of the lesions were significantly lower on postcontrast DWI than on precontrast DWI (P=0.019). Conclusions: The SNR and CNR of FLLs on DWI were significantly increased after Gd-DTPA injection. However, ADC values of FLLs were significantly decreased after Gd-DTPA injection. If ADC measurements are taken into account, DWI should be performed before Gd-DTPA injection.
Over expression of Her- 2 neu in ovarian surface epithelial carcinoma in a sample of Iraqi patient at Al-kindy Teaching Hospital

Al – Kindy Col Med J 2013; Vol. 9 No. 1 P: 126 Abstract Background: Although expression of the HER2/neuoncogene may be of some prognostic importance in advanced ovarian cancer, its role in early-stage disease has not been established. The current study examined the prevalence and significance of HER2/neu expression in different grades of different types of surface epithelial ovarian carcinoma. Methods: Thirty eight female patients with surface epithelial ovarian cancer were included in this study. The blocks of corresponding formalin fixed, paraffinembedded ovarian biopsies were retrieved from the archives and hematoxylin-eosin slides of each ovarian biopsy were reviewed and marked their grades of differentiation , then a new sections from each sample stained by her2/neu as immunohistochemical technique and classified according to degree of intensity regarding to dependable scoring system , also ten cases taken as control group from normal ovarian tissue. Results :-Thirty eight sample of surface ovarian carcinoma were collected , twenty six were serous ovarian carcinoma , eleven cases were mucinous carcinoma type and one case was endometriod carcinoma . The samples were classified according to their histological types and according to their grading . The mean age of SC type was 54.52 with SD 7.17 while the mean age of mucinous carcinoma was 49.36 with SD 4.9. There is no significant relation between each type and grading system ( P Value = 0.9 ) ,also there is no significant relation between age group distribution and types of ovarian carcinoma ( P value = 0.14 ). Instate that statically no significant relation between intensity of expression Her2/neu and high grading of each types of collected sample ( P value =0.22) and this may be due to small sample size but still there are obvious criteria showing that her2/neu expression relatively increase in higher grade of each types of studied ovarian surface epithelial carcinoma. Conclusion :-In conclusion, the overexpression of the HER-2/neu gene product appears to be an unusual occurrence in early epithelial ovarian cancer and may occur less frequently than in advanced disease. Early ovarian cancer will eventually progress to advanced disease if undiagnosed and untreated, then, HER2/neu overexpression does not appear to be a general early event in the development of ovarian cancer. Instead, it seems that increased expression develops in many instances after the malignant phenotype has already arisen.
MPLS-BASED MOBILITY MANAGEMENT FOR WIRELESS C E L L U L A R NETWORKS

In order to provide full end-to-end IP based service, 3 G P P proposes the concept of an IP based access network. Recently, multi-protocol label switching (MPLS) has begun deployment in the Internet backbone to provide traffic engineering. MPLS is also proposed as a transport option in the access network of next generation wireless networks. One of the critical problems associated with mobile networks is mobility management; thus, it is important to handle mobility management in an MPLS based access network. In this thesis, a domain-based MPLS mobility management scheme for wireless cellular networks, including label switched path setup when the mobile host first powers on and mobile host handoffs, is presented. A medium access control layer assisted packet recovery scheme is proposed to recover packet loss during handoff. In order to reduce the power consumption of the mobile host and signalling load in the access network, a paging server is introduced, which brings in a hierarchical structure in addition to the function of paging. Route optimization is proposed to handle situations when the two communicating parts are in the same domain, thus reducing communication delays and load on the access network. The performance of the MPLS-based mobility management scheme is studied in terms of UDP packet loss and TCP throughput. In addition, the performance of MPLS-based mobility management is compared with three other schemes for IP mobility management, Cellular IP, HAWAII, and Hierarchical Mobile IP.
Access to adults’ hearing aids: policies and technologies used in eight countries

Abstract As the proportion of older adults in the world’s total population continues to grow, the adverse health outcomes of age-related hearing loss are becoming increasingly recognized. While research has shown that age-related hearing loss is the single greatest modifiable risk factor for dementia, use of hearing aids remains low worldwide, even in many middle- and high-income countries. Reasons for poor uptake of hearing aids are likely to involve a combination of factors, ranging from increasing costs of hearing aid technology to a widespread lack of insurance coverage. This article aims to identify the current state of access to hearing aids, focusing on eight middle- and high-income countries. We discuss how to facilitate greater access to hearing aids for patients by addressing changes in how devices are regulated, technological advancements in hearing devices, the need to adjust reimbursement schemes and the importance of adaptation among the community workforce for hearing-care.
Cross-delisting and the effects on visibility, liquidity and market value

This study tests whether a firm’s decision to cross-delist has a negative influence on visibility, liquidity and market value. We examine a voluntary crossdelisting from the NYSE, as this is seen as the most prestigious exchange, by companies originating from Germany, the U.K. and France. Our research consists of three hypotheses. First, we want to examine whether a cross-delisting has an influence on the company's visibility using two proxies: analyst coverage and number of newspaper references. By doing several empirical tests, we cannot find any significant proof that the cross-delisting event has an influence on the visibility of a company. Furthermore, we examine the effect of cross-delisting on the liquidity of the domestic market. The delisting event seems to have little or no consequences on liquidity. Finally, we investigate the impact of cross-delisting on the value of the company. For the effect on the company's value, as expressed by the Tobin q ratio, we can conclude that the delisting event has a negative and significant impact. Our findings for this last hypothesis are consistent with the conventional wisdom on cross-listing, which claims that a cross-listing leads to an increase of the company's value. Our research leads us to conclude that once a company has been cross-listed on the NYSE, a subsequent delisting does not have a negative result on the visibility and liquidity of the company. There are however indications that this delisting may lead to a decrease of the Tobin q ratio by about 4 %.
Retina Choroidal Thickness and Choroidal Vessel Density in Nonexudative Age-Related Macular Degeneration Using Swept-Source Optical Coherence Tomography Imaging

Citation: Zheng F, Gregori G, Schaal KB, et al. Choroidal thickness and choroidal vessel density in nonexudative age-related macular degeneration using swept-source optical coherence tomography imaging. Invest Ophthalmol Vis Sci. 2016;57:6256–6264. DOI: 10.1167/iovs.16-20161 PURPOSE. To analyze the relationship between choroidal thickness and the distribution of choroidal blood vessels in eyes with nonexudative AMD.
Gr upSM Primary Glomerulonephritis as Cause of Graft Disease after Renal Transplantation

Recurrent glomerulonephritis (GN) is an important cause of kidney allograft failure. Approximately 15% of death-censored graft failures are due to recurrent GN. In this review we will focus specifically on the most common forms of primary GN, including IgA Nephropathy, focal segmental glomerulosclerosis, membranous nephropathy, membranoproliferative glomerulonephritis. New understanding of the pathogenesis of these diseases has had direct clinical implications for transplantation, allowing for a better identification of candidates at high risk of recurrence and an earlier diagnosis. More than ever, it is essential to fully characterize GN before transplantation as this information will direct our management post transplantation.
State Policies and Intergenerational Income mobility

Existing theoretical models suggest that the primary mechanisms driving geographic differences in income mobility are policies that are controlled at the state level in the United States. Empirical investigation further suggests that there are substantial state level differences in these policies. Thus, our study considers whether the large geographical variation in levels of intergenerational mobility in the United States can be explained primarily through state-level policy differences. Through comparisons of county differences within states versus those between states, we test for the effect of specific policy differences on mobility. We also develop an omnibus test for general state policy differences that extends these principles. We find little positive evidence that commonly hypothesized policy differences including education funding or tax rates explain observed differences in income mobility. Though such policies may have small effects they are relatively unimportant in explaining contemporary geographical differences in income mobility. This key finding suggests that policy prescriptions for improving income mobility will need to look beyond the current common state policy menus.
The Determinants of Remittances by Moroccans Resident Abroad: Empirical Study from 1970 to 2006

The impact of migrant remittances on economic development and growth is becoming increasingly influential, and harbours vital benefits for developing countries. In this article, we seek to identify the macroeconomic determinants of migrant remittances in the context of Morocco. Using the technique of co-integration between remittances and other variables (agricultural GDP and exchange rates), our empirical investigation reveals the co-integrating relationships between these variables. The error correction model (ECM) showed us that there is also a stability relationship. Finally, the shock analysis (both short and long-term) exposes the ongoing effect between remittances and changes in agricultural GDP.
Deep Neural Networks for Multi-Label Text Classification: Application to Coding Electronic Medical Records

OF DISSERTATION Deep Neural Networks for Multi-Label Text Classification: Application to Coding Electronic Medical Records Coding Electronic Medical Records (EMRs) with diagnosis and procedure codes is an essential task for billing, secondary data analyses, and monitoring health trends. Both speed and accuracy of coding are critical. While coding errors could lead to more patient-side financial burden and misinterpretation of a patients well-being, timely coding is also needed to avoid backlogs and additional costs for the healthcare facility. Therefore, it is necessary to develop automated diagnosis and procedure code recommendation methods that can be used by professional medical coders. The main difficulty with developing automated EMR coding methods is the nature of the label space. The standardized vocabularies used for medical coding contain over 10 thousand codes. The label space is large, and the label distribution is extremely unbalanced – most codes occur very infrequently, with a few codes occurring several orders of magnitude more than others. A few codes never occur in training dataset at all. In this work, we present three methods to handle the large unbalanced label space. First, we study how to augment EMR training data with biomedical data (research articles indexed on PubMed) to improve the performance of standard neural networks for text classification. PubMed indexes more than 23 million citations. Many of the indexed articles contain relevant information about diagnosis and procedure codes. Therefore, we present a novel method of incorporating this unstructured data in PubMed using transfer learning. Second, we combine ideas from metric learning with recent advances in neural networks to form a novel neural architecture that better handles infrequent codes. And third, we present new methods to predict codes that have never appeared in the training dataset. Overall, our contributions constitute advances in neural multi-label text classification with potential consequences for improving EMR coding.
PHYTOREMEDIATION OF CONTAMINATED SOIL WITH SULFENTRAZONE BY DIFFERENT DENSITY OF Crotalaria juncea

In phytoremediation programs of contaminated soil with herbicides, it is necessary to determine the appropriate density of phytoremediation species, since this practice will contribute to the efficiency of the process. The aim of this study, therefore, was to evaluate the influence of density in Crotalaria juncea on the phytoremediation of contaminated soils with the sulfentrazone herbicide. The experiment was conducted in a greenhouse using plastics pots. The treatments were the combination of density of C. juncea, (0, 60, 120 and 240 plants m-2) and doses of sulfentrazone (0, 200 and 400 g i.a. ha-1). The herbicide was applied on the pots and then the species used for phytoremediation were sown. At 75 days after emergence, the plants were cut close to the ground and discarded. Posteriorly, the bioindicator species for sulfentrazone, Pennisetum glaucum, was planted in each pot. In the absence of previous cultivation of C. juncea, the fresh mass and dry mass of shoot and root of P. glaucum were lower than those obtained with the previous cultivation. As the density of C. juncea increased, there was an increase in fresh mass and dry mass, regardless of the sulfentrazone dose applied to the soil. The earlier cultivation of C. juncea led to the remediation of the soil contaminated with sulfentrazone. The minimum density of C. juncea which allows P. glaucum to develop is 120 plants m-2.
Automatic Text Tagging of Arabic News Articles Using Ensemble Deep Learning Models

Automatic document categorization gains more importance in view of the plethora of textual documents added constantly on the web. Text categorization or classiﬁ-cation is the process of automatically tagging a textual document with most relevant label. Text categorization for Arabic language become more challenging in the absence of large and free datasets. We propose new, rich and unbiased dataset for the single-label (SANAD) text classiﬁcation, which is made freely available to the research community on Arabic computational linguistics. In contrast to the majority of the available categorization systems of Arabic text, we offer several deep learning classiﬁers. With deep learning, we eliminate the heavy pre-processing phase usually used to on the data. Our experimental results showed solid performance on SANAD corpus with a minimum accuracy of 93 . 43% , achieved by CGRU, and top performance of 95 . 81% , achieved by HANGRU. In pursuit of superior performance, we implemented an ensemble model to combine best deep learning models together in a majority-voting paradigm.
Asymmetric information , disclosures of R & D and the choice of equity-selling mechanisms

This study examines the impact of information asymmetry and corporate management monitoring on the choice among different mechanisms for selling equity. More specifically, I study the link between R&D disclosures and other measures of information asymmetry, in addition to ownership measures and firms’ choices among various types of rights offerings and private placements. Using a hand-collected sample of mandatory and non-discretionary R&D disclosures from publically listed biotechnology firms, I find that firms tend to issue equity publicly rather than privately following credible R&D disclosures, i.e., when information asymmetry is low. By contrast, I find no support for the monitoring hypothesis. A detailed analysis by investor type confirms that monitoring does not seem to be an important determinant in the choice between private and public financing. JEL-classification: G32