Miracle-dz/UniFAR-FTUs huggingface dataset:
Ex Vivo Fucosylation Of Cord Blood Accelerates Neutrophil and Platelet Engraftment

Background Cord blood transplantation (CBT) is an increasingly used alternative to bone marrow or peripheral blood stem cell transplantation, but is associated with slower neutrophil and platelet recovery. One strategy to overcome the delayed hematopoietic recovery of CB is to correct the decreased fucosylation of CB cell surface molecules which is thought to impair homing to the bone marrow of the limited numbers of stem and progenitor cells in the CB graft. Our pre-clinical murine xenograft models have demonstrated that human CB-derived progenitor cells treated with recombinant human fucosyltransferase-VI (ASC-101:America Stem Cell Inc.) prior to infusion resulted in more rapid and higher levels of human engraftment as compared to untreated CB progenitors (Robinson et al Exp Hematol, 2012). We therefore sought to study this novel strategy in a clinical trial where recipients with hematologic malignancies receive a double CBT where one CB unit is fucosylated prior to infusion. Objective In an effort to improve engraftment following cord transplant, we tested the ability of a 30-minute ex vivo fucosylation treatment to shorten time to neutrophil and platelet recovery. Methods Cell Processing: The unmanipulated CB unit with the highest total nucleated cell (TNC) dose was thawed, washed on the Sepax device (Biosafe) and infused first. The second CB unit which had the smaller TNC dose was thawed and washed using 10% Dextran-40/5% human serum albumin and the cells treated at 106cells/ml for 30 minutes at room temperature with recombinant human fucosyltransferase VI (ASC-101) and substrate GDP-fucose (America Stem Cell Inc). The fucosylated cells were then washed on the Sepax and infused. After the procedure fucosylated (CD34+ CLA+) CD34+ cells increased from a median of 33% to 99%. Clinical 10 patients with AML (5), MDS (2), NHL (2), or HL (1) have been enrolled to date. Three patients are too early to evaluate engraftment; therefore, first 7 evaluable patients are reported here. Median age was 55 (range 26 -62) years and median weight 87 (range 61-97) kg. All patients were conditioned with fludarabine 160mg/m2, melphalan 140mg/m2, and ATG 3mg/kg. Tacrolimus and MMF were used for GVHD prophylaxis. Results Median time to absolute neutrophil count ≥ 0.5 X 109 /L was 14 (range 12-28) days. Median time to platelet count ≥ 20 X 109/L was 33 (range 18-100) days. One patient had secondary graft failure and was rescued with backup autologous stem cells. Four patients had engraftment of the fucosylated unit and 2 of the unfucosylated unit. Two patients developed grade 2 acute graft versus host disease. No infusion related toxicities were seen. Conclusion Ex vivo fucosylation appears to be a safe, simple and rapid approach to enhancing neutrophil and platelet engraftment in the setting of double cord transplantation. Accrual to the trial continues and updated results will be presented. Disclosures: Miller:America Stem Cell Inc: Equity Ownership. Paradiso:America Stem Cell Inc: Equity Ownership. Koh:America Stem Cell Inc: Equity Ownership.
Explaining Lexical Processing Times with Cognitively Plausible Computational Models

Lexical processing times can yield valuable insights about structure in language and the cognitive processes that enable the use of language. The time a brain needs to process a chunk of information gives an estimation about how much cognitive effort is required to understand it. Previous studies show that lexical processing times of individual words are influenced by the context, i.e. the sentence they appear in. The reason can be that human brains predict lexical features like gender and lexical categories. This paper attempts to explain variation between lexical processing times of individual words by simulating a lexical predictive process. The simulation is done with two seperate cogntively plausible computational models that both try to predict lexical categories of words in sentences based on the lexical categories of previous words. The predictions of the models are compared with similar predictions by humans as well as human reading times (gaze durations) of the same sentences. The recurrent neural network (RNN) based model predictions explain more variance in the prediction errors of humans than the Rescorla-Wagner based model. However, the Rescorla-Wagner model explains more variance in the reading times. The results show that the RNN results match the conscious prediction process more closely, but the RescorlaWagner model may be a better model for explaining very quick predictions that humans make when reading or hearing natural language.
Eccentricity Heuristics through Sublinear Analysis Lenses

The eccentricity of a node in a graph is its maximal shortestpath distance to any other node. Computing all eccentricities is a basic task in large-scale graph mining. Shun (KDD 2015) empirically studied two simple heuristics for this task: k-BFS1, based on parallel BFS from a small sample of nodes, was shown to work well on a variety of graphs; kBFS2, a two-phase version, was shown to outperform stateof-the-art algorithms by up to orders of magnitude. This empirical success stands in apparent contrast to recent theoretical hardness results on approximating all eccentricities (Backurs et al., STOC 2018). This paper aims to formally explain the performance of these heuristics, by studying them through computational models designed for sublinear time or sublinear space algorithms. We use the proposed framework to derive improved variants, which retain their practicality while having better performance and formal guarantees. 1. For k-BFS1, we draw a connection to diameter property testing (Parnas and Ron, Random Struct Alg. 2002). It is not hard to observe that k-BFS1 essentially tests the values of all eccentricities simultaneously, in the classical property testing sense. We show that the same guarantee is achieved by a more efficient algorithm, whose work is nearly linear in the number of nodes and independent of the number of edges. By utilizing the connection in the opposite direction, we also obtain some results on classical testing of the graph radius and diameter. 2. For k-BFS2, we draw a connection to the streaming Set Cover algorithm of Demaine et al. (DISC 2014). We use it to suggest a variant of k-BFS2 with similar work and depth bounds, which is guaranteed to compute almost all eccentricities exactly, if the graph satisfies a condition we call small eccentric cover. The condition can be ascertained for all real-world graph used in Shun (KDD 2015) and in our experiments. Our experimental results on real-world graphs demonstrate the validity of our analysis and the empirical advantage of the proposed algorithms.
Modeling the sovereign spreads via threshold cointegration: evidence from Brazil

This paper analyses the dynamics of the Brazilian sovereign spread and its statistically significant connection with some selected variables by applying linear and threshold cointegration methods. We statistically test the effects of the recent subprime crisis finding strong equilibrium relations, stable enough to exhibit cointegrated behavior before and after the subprime crisis. The assumption of a threshold, linked to a certain level of market risk aversion, refines the methodology and brings flexibility to the modeling strategy. The final VECM model indicates the External debt and the volatility index VIX as the key drivers of the Brazilian sovereign spread. The findings suggest that, with the onset of the crisis, an automatic mechanism of adjustment between the spread and the VIX came into play while the market experimented an increasing risk aversion feeling. It becomes clear from the results that current beliefs on the economic fundamentals are not sufficient to deal with the market turbulence under a global crisis. We propose a methodology for assessing the robustness of the optimal threshold solution. Key–Words: Threshold Cointegration, VECM models, Sovereign Risk, Emerging Markets
Role of cartridge-based nucleic acid amplification test to diagnose tuberculosis at tertiary care teaching hospital in Rajasthan, India

Background: Tuberculosis is one of the top 10 causes of death worldwide as per the Global TB report 2017, the estimated incidence of TB in India was approximately 28,00,000 cases accounting for about a quarter of the world’s TB cases (10 million). It is of utmost important to diagnose early and treat it to reduce disease transmission. GeneXpert MTB/RIF, an automated cartridge-based molecular technique detects Mycobacterium Tuberculosis and rifampicin resistance within two hours, has been recommended by WHO for rapid diagnosis of TB.Methods: Author conducted a retrospective study in the Department of TB and Chest, of tertiary care center at Jhalawar Medical College (JMC), Jhalawar to evaluate and analyze the role of CBNAAT to diagnose tuberculosis from 1st January 2018 to 31st December 2018. Author included all patients who came to department of TB and Chest of JMC, Jhalawar either new/ relapsed/ defaulters/ referred cases from ART/ ICTC center, Pediatric Department; Gynaecology and Obstetrics Department, peripheral Government Health Care Facilities and Private Hospitals of Jhalawar District catering about 15.5 lac population were subjected to both ZN staining/ Fluorescent microscopy and CBNAAT in the study period.Results: A total of 3078 samples (pulmonary 2739+EP 339) were tested for ZN staining / Fluorescent microscopy and CBNAAT during the study period. Mean age of the study population was 36.5±10.3 years. 1873 tested were negative and 1205 samples were positive for CBNAAT. Of these 1205 positive samples, 1174 were sputum/ BAL samples and 31 were extra pulmonary samples. Authors found rifampicin resistance rate of 6.98% (82/1174) in pulmonary tuberculosis cases, 3 rifampicin resistance cases were detected in extra pulmonary samples. CBNAAT could identify 255 cases (14.01%) that were smear negative. Author found TB-HIV coinfection rate of 18.75%. Conclusions: Author found CBNAAT to be an important diagnostic modality especially in smear negative patients for early diagnosis and treatment. Author could detect Mycobacterium Tuberculosis in 14.01% of patients with negative smear microscopy for AFB. In PLHIV, CBNAAT detected Mycobacterium Tuberculosis in 18.75% (12/64) of patients. Author found rifampicin resistance rate of 6.98% (82/1174) in pulmonary tuberculosis cases.
Assessment and Comparison of Multicarrier Waveforms Under Nonlinear Conditions

Power Amplifiers (PAs) are inherently nonlinear devices for which power efficiency and amplifier linearity are a trade-off recourse. On the one hand, poor power efficiency reduces the battery life of a mobile device, or is accompanied by a significant financial burden in the case of a base station. On the other hand, driving the amplifier above the linear regime to increase power efficiency distorts the amplified signal in a nonlinear fashion. This distortion not only deteriorates the transmission quality, but also introduces interference in adjacent frequency channels. Multicarrier systems, in which the signal bandwidth is shared among multiple pulses, are particularly vulnerable to Out-Of-Band (OOB) interference. Robustness against such interferences caused by nonlinear amplification is to be considered when choosing the right modulation scheme. In this paper, the following modulation waveforms are compared: OFDM, FOFDM, WOLA, UFMC, FBMC-OQAM and Pruned DFT-Spread FBMC, and their sensitivity towards nonlinear distortions is assessed. For this purpose, the Vienna 5G Link Level Simulator is used, which allows for a fair comparison of the waveforms on a unified platform.
The dynamic effects of pollution on growth and inflation: a derivation of the new keynesian environmental canonic model

The article constructs a three equation model, in which it relates ecological variables with traditional macroeconomic variables, assuming that economic agents decide to look ahead. In the so-called New Keynesian Environmental Canonic Model, environmental preservation is a condition for economic growth with price stability, in this model, pollution shocks cause inflation and fall in the aggregate product of the economy due to the scarcity of environmental assets.
Support to critical care nursing personnel

One of the most important conclusions of a research study conducted by the Human Sciences Research Council in the late 1980s was that junior intensive care unit (ICU) nurses bear a heavy burden as a result of staff shortages in the ICU and do not receive sufficient support from nursing service managers. ICU nurses regularly present with work-related problems such as lack of motivation and frustration due to inadequate equipment, and staff turnover is high. Are ICU nurses unhappy because they do not receive enough support? The question arises, 'How do nurses experience the support they receive in the ICU? ' The purpose of this study was to describe and explore the support received by ICU nurses in private hospitals in Gauteng. To answer the research question, a qualitative, descriptive, explorative and contextual research design was followed. The target population was qualified ICU nurses working in private hospitals in Gauteng. A purposeful convenience sampling was done. The sample consisted of 6 nurses working in five different ICUs in different private hospitals in the Gauteng area. The research question put forward to the group was 'Tell me about support in the ICU'. Trustworthiness was ensured and the data obtained from the interview were divided into four categories, namely stress and conflict, debriefing, interpersonal skills and communication, and demotivation. From these categories, guidelines were developed to help support ICU nurses better.
Persistance and Change in the Food Security of Families With Children, 1997-99

This report uses data from the Panel Study of Income Dynamics to examine the prevalence of and changes in food security between 1997 and 1999 among individual families with children younger than 13. About half of the families that were food insecure in 1997 became food secure by 1999, with the rest remaining food insecure. Meanwhile, about 7 percent of the families who were food secure in 1997 became food insecure in 1999. Although the food security status for individual families changed substantially, the prevalence of food insecurity was relatively stable: In both years, about 1 family in 10 was food insecure. The report also examines families’ characteristics, income, and Food Stamp Program participation.
Effect of China berry crude extracts on broad mites in vivo and in vitro

Tissue culture were established from leaf and stem of china berry (Melia azedarach ) tree . Using MS media the best regulator to form callus were 6mg/l BAP, all other concentrations did not give callus . The crude extracts from leaves and callus established from leaves were extracted with water and ethanol with different concentrations. In ethanol extracts the least concentration 0.0001 half of the treated parasites were killed in 24 hours while the number increase as the concentration increase . However in callus the ethanol extracts were much higher about 8.5 were killed in the above concentration . In water extracts the least concentration 0.0001 killed half of the treated parasites in 24 hours . This number was increased 8 or 9 in 48 and 72 hours respectively . These results give us preliminary idea about the biological control of this dangerous parasite.
Automated Hate Speech Detection on Vietnamese Social Networks

Nowadays, the internet plays an important role in our everyday life. It provides us useful information, knowledge, news, and a free space to share and exchange our personal opinions with other people all over the world through some platforms such as the social network. While there are various advantages of social network, its freedom sometimes bring to us a lot of trouble. Some people use the social network for some immoral aims such as harass, racist, and offend others which must be detected and removed immediately. With the rapid development of the social network, number of content uploaded on it is dramatically enormous and becoming larger which can not control effectively by human. We proposed a novel method for solving this problem by a multi-class classification model to classify content into 3 labels: HATE, OFFENSIVE, and CLEAN. With the Vietnamese dataset of the competition VLSP-SHARED Task, our experimental results have the first position on the contest table.
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations

This paper presents an exploratory study that aims to evaluate the usefulness of back-translation in Natural Language Generation (NLG) from semantic representations for non-English languages. Specifically, Abstract Meaning Representation and Brazilian Portuguese (BP) are chosen as semantic representation and language, respectively. Two methods (focused on Statistical and Neural Machine Translation) are evaluated on two datasets (one automatically generated and another one human-generated) to compare the performance in a real context. Also, several cuts according to quality measures are performed to evaluate the importance (or not) of the data quality in NLG. Results show that there are still many improvements to be made but this is a promising approach.
Testing market efficiency: empirical investigation of Polish capital market

The aim of the work is to verify the hypothesis of a weak form of efficiency of the Polish capital market using the autocorrelation test, series and variance ratio test. The research was conducted for the entire market representing the Warsaw Stock Exchange (using the WIG index covering all companies listed on the Main Market of the Warsaw Stock Exchange) and selected sector sub-indices of the WIG index calculated by the stock exchange. The analyzes were based on the daily logarithmic rates of return for data from the 2010-2016 period, which was divided into three sub-periods. The results indicate a weak form of market efficiency and cases of inefficiencies in its sectors.
CSR Sensemaking on the collapse of the Samarco’s tailings dam

Revista de Contabilidade e Organizações José Paulo Cosenzaa; Cintia de Melo de Albuquerque Ribeiroa ; Ariel Levya ; Selma Alves Diosa Corresponding author: Phone (21) 2629-9867 E-mail: jpcosenza@id.uff. br (J.P. Cosenza); cintiaalbuquerque@id.uff. br (C. de M. de A. Ribeiro); alevy@id.uff. br (A. Levy); selmadios@vm.uff. br (S.A. Dios) Universidade Federal Fluminense, Faculdade de Administração e Ciências Contábeis. Rua Mário Santos Braga, s/n, Campus do Valonguinho Centro Niterói/ RJ 24020140, Brasil www.rco. usp.br Journal of Accounting and Organizations Copyright © 2018 FEA-RP/USP. All rights reserved.
Supplementary Material of Modeling the Uncertainty of Contextual-Connections between Tracklets for Unconstrained Video-based Face Recognition

where Tgt and Ttt are corresponding temperature factors, k ∈ {0, 1}, αp is the positive penalty and αn is the negative penalty. Directly looking for the label assignment that minimizes E(x,y) is a combinatorial optimization problem which is intractable. Instead, similar to [9], we use mean field method to approximate the distribution P (X,Y) ∝ exp(−E(X,Y)) by the product of independent marginals
Quality of life assessment in behçet’s disease: an observational case control single center study

Behçet’s disease (BD) is a multisystemic inflammatory disorder characterized by recurrent exacerbations. Limited studies have shown it has a negative impact on patients quality of life(QoL). This study aimed to evaluate Quality of Life in Patients with Behçet’s disease compared with healthy controls. A case-control study involved 71 patients with BD compared with 71 healthy controls matched in age and sex. Health-related quality-of-life was evaluated using the Short Form-36 (SF-36). All the components of Short Form-36 (SF-36), it's summary scores, and Total Short Form-36 (Total SF-36) score was significantly lower (p-value <0.001 ) in patients compared to controls. Each organ involvement studied may affect independently specific SF-36 subscores. Central nervous system involvement in BD had a strong impact since it affects most of the SF-36 subscores. In conclusion: Health-related Quality of life was significantly impaired in Iraqi patients with Behçet’s disease compared to healthy controls. Each organ involvement studied may affect independently specific SF-36 subscores.
Target-Based Sentiment Analysis as a Sequence-Tagging Task

By focusing on the online-reviews domain, this study aims to provide a complete solution to the sentiment-analysis task consisting off its three constituent components: opinion holder, polarity of the underlying sentiment and target. For the purposes of this research, several challenges and issues related to the nature of the problem are addressed such as class imbalance and the need for meaningful linguistic data-augmentation techniques to increase the size of the training set and make the use of Long Short-Term Memory models (LSTMs) possible. For both of them, new effective approaches are proposed and evaluated. As a means of quantifying class imbalance, the Minority-to-Majority Ratio (M2MR) is introduced. The two sub tasks of target and polarity detection are tackled using machine-learning means. To support the training process, a new data set, which combined sentences from two different review-based corpora, was constructed. In our research, the bestperforming LSTM-based models make use of the context-sensitive BERT embeddings and yield F1-Scores of 0.9263 and 0.8911 over all possible classes for the polarity and target components respectively.
Femtosecond Laser Written Plane-by-Plane Bragg Grating Sensors in Bioresorbable Phosphate Optical Fibres

We report on the realization of different types of optical sensors in a bioresorbable phosphate glass optical fibre using a femtosecond laser operating at 517 nm. We inscribed fibre Bragg grating-based optical filters such as uniform Bragg gratings, chirped gratings and Fabry-Perot cavities, using the plane-by-plane direct write inscription. The gratings were characterised in reflection and tested as sensors for temperature and relative humidity. We studied the stability and resilience of the gratings when inserted in high humidity environments (> 95%) for 52 h and observed the evolution of the grating characteristics during this period.
WST 49.1 N20 corr

Treating a synthetic wastewater containing phenol as the sole substrate at 26°C, an upflow anaerobic sludge blanket reactor was able to remove over 98% of phenol up to 1,260 mg/l in wastewater with 12 h of hydraulic retention time, corresponding to 6.0 g-COD/(l·day). Results showed that benzoate was the key intermediate of phenol degradation. Conversion of benzoate to methane was suppressed by the presence of phenol. Based on DNA cloning analysis, the sludge was composed of five groups of microorganisms. Desulfotomaculum and Clostridium were likely responsible for the conversion of phenol to benzoate, which was further degraded by Syntrophus to acetate and H2/CO2. Methanogens lastly converted acetate and H2/CO2 to methane. The role of epsilon-Proteobacteria was, however, unclear.
Assessment Using MRI shows that Inter-synergistic as well as Inter-antagonistic Epimuscular Myofascial Force Transmission has Sizable Effects within the Entire Human Lower Leg, in vivo

Alper Yaman1, Maria J. Ledesma-Carbayo 2, Guus C. Baan3, Peter A. Huijing3, Cengizhan Ozturk1, Can A. Yucesoy1 1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Departamento de Ingenieria Electronica, Universidad Politecnica de Madrid, Madrid, Spain, 3Research Instituut. Move, Faculteit Bewegingswetenschappen, Vrije Universiteit, Amsterdam, the Netherlands email yamanalp@boun.edu. tr