Miracle-dz/UniFAR-FTUs huggingface dataset:
[Purification of total flavones from Morus alba L.by macroporous adsorbents and kinetic model for the process].

OBJECTIVE To establish the separation and purification technology for the total flavones from Morus alba L. (MTF), and present a kinetic model for this process. METHODS Three types of macroporous adsorbents were tested to separate and purify MTF, and to evaluated by adsorption capacity, elution ratio and product purity. The curves of dynamic adsorption-elution process was plotted and the kinetic equations were presented. RESULT Among three types of macroporous adsorbents, the NKA-9 type showed better property with the adsorption capacity of 43.4 mg.g(-1)and the elution ratio of 98.2%. The purity of MTF product reached to 58.2 % in the technological conditions following: extract sample concentration of 20 mg.ml(-1), 6 times washing water and elution reagent of 70% ethanol. The adsorbent could be used for 4 times repeatedly. The kinetic equation was y=u(1 - e(-kx)). CONCLUSION The NKA-9 type of macroporous absorbent is suitable to purify the MTF.
Automated placement of supplementary contour lines

ABSTRACT Supplementary contour lines are placed between regular contour lines to visualize small but important forms that regular contour lines are unable to show. On topographic maps, typical forms are hillcrests, depressions, saddles, terraces, banks, and levees. No automated method for the selection of supplementary contour lines has been described so far. We document cartographic design principles for the selection of supplementary contour lines for topographic maps, and present an automated method for their placement. Results of the automated method are similar to manually placed supplementary contour lines. Our method helps map authors to create contour line maps that more effectively illustrate relevant small details in maps showing terrain elevation or other scalar fields.
Unique gene expression profile based on pathologic response in epithelial ovarian cancer.

PURPOSE We investigated whether tumor tissue obtained at diagnosis expresses a specific gene profile that is predictive of findings at second-look surgery in patients with epithelial ovarian cancer (EOC). PATIENTS AND METHODS Tumor tissue obtained at the time of diagnosis was profiled with oligonucleotide microarrays. Class prediction analysis was performed in a training set of 24 patients who had undergone a second-look procedure. The resultant predictive signature was then tested on an independent validation set comprised of 36 patients. RESULTS A 93-gene signature referred to as the Chemotherapy Response Profile (CRP) was identified through its association with pathologic complete response. When applied to a separate validation set, the CRP distinguished between patients with unfavorable versus favorable overall survival (median 41 months v not yet reached, respectively, log-rank P = .007), with a median follow-up of 52 months. The signature maintained independent prognostic value in multivariate analysis, controlling for other known prognostic factors such as age, stage, grade, and debulking status. There was no genetic overlap between the CRP and our previously described Ovarian Cancer Prognostic Profile (OCPP), which demonstrated similar prognostic value. The combination of the CRP and OCPP yielded better prognostic discrimination then either profile alone. Genes present in the CRP include BAX, a proapoptotic protein previously associated with chemotherapy response in ovarian cancer. CONCLUSION Identification of a gene expression profile based on pathologic response in EOC provides independent prognostic information and offers potential insights into the mechanism of drug resistance. Efforts to identify a more tailored profile using selected genes from both the CRP and OCPP are underway.
Implementing an LTL-to-Büchi translator in Erlang: a protest experience report

In order to provide a nice user experience in McErlang, a model checker for Erlang programs, we needed an LTL-to-Büchi translator. This paper reports on our experiences implementing a translator in Erlang using well known algorithms described in literature. We followed a property driven development schema, where QuickCheck properties were formulated before writing the implementation. We successfully implement an LTL-to-Büchi translator, where the end result performs on par (or better) than two well known reference implementations.
An MRI study of the corpus callosum in autism.

OBJECTIVE The purpose of this study was to examine the size of subregions of the corpus callosum in autistic individuals. METHOD The areas of three subregions (anterior, body, and posterior) of the corpus callosum were examined on midsagittal magnetic resonance images of 35 autistic subjects whose mean age was 18 years and 36 healthy comparison subjects matched on age and IQ. RESULTS After controlling for total brain volume, gender, and performance IQ, the authors detected a significantly smaller size of the body and posterior subregions of the corpus callosum in the autistic individuals. CONCLUSIONS In the context of recent reports of increased brain size in autism, several possible mechanisms are considered in exploring the significance of a smaller relative size of the corpus callosum in autism.
A Greek Corpus of Aphasic Discourse: Collection, Transcription, and Annotation Specifications

In this paper, the process of designing an annotated Greek Corpus of Aphasic Discourse (GREECAD) is presented. Given that resources of this kind are quite limited, a major aim of the GREECAD was to provide a set of specifications which could serve as a methodological basis for the development of other relevant corpora, and, therefore, to contribute to the future research in this area. The GREECAD was developed with the following requirements: a) to include a rather homogeneous sample of Greek as spoken by individuals with aphasia; b) to document speech samples with rich metadata, which include demographic information, as well as detailed information on the patients’ medical record and neuropsychological evaluation; c) to provide annotated speech samples, which encode information at the micro-linguistic (words, POS, grammatical errors, clause types, etc.) and discourse level (narrative structure elements, main events, evaluation devices, etc.). In terms of the design of the GREECAD, the basic requirements regarding data collection, metadata, transcription, and annotation procedures were set. The discourse samples were transcribed and annotated with the ELAN tool. To ensure accurate and consistent annotation, a Transcription and Annotation Guide was compiled, which includes detailed guidelines regarding all aspects of the transcription and annotation procedure.
Handbook of Exact String Matching Algorithms

New updated! The latest book from a very famous author finally comes out. Book of handbook of exact string matching algorithms, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.
Whole-Genome Sequencing of a Haarlem Extensively Drug-Resistant Mycobacterium tuberculosis Clinical Isolate from Medellín, Colombia

ABSTRACT Colombia is one of the 105 countries that has reported at least one case of extensively drug-resistant tuberculosis (XDR-TB). The Mycobacterium tuberculosis Haarlem genotype is ubiquitous worldwide. Here, we report the high-quality draft genome sequence of a Colombian Haarlem XDR-TB clinical isolate composed of 4,329,127 bp with 4,386 genes.
Exact Recovery of Mangled Clusters with Same-Cluster Queries

We study the problem of recovering distorted clusters in the semi-supervised active clustering framework. Given an oracle revealing whether any two points lie in the same cluster, we are interested in designing algorithms that recover all clusters exactly, in polynomial time, and using as few queries as possible. Towards this end, we extend the notion of center-based clustering with margin introduced by Ashtiani et al.\ to clusters with arbitrary linear distortions and arbitrary centers. This includes all those cases where the original dataset is transformed by any combination of rotations, axis scalings, and point deletions. We show that, even in this significantly more challenging setting, it is possible to recover the underlying clustering exactly while using only a small number of oracle queries. To this end we design an algorithm that, given $n$ points to be partitioned into $k$ clusters, uses $O(k^3 \ln k \ln n)$ oracle queries and $\tilde{O}(kn + k^3)$ time to recover the exact clustering structure of the underlying instance (even when the instance is NP-hard to solve without oracle access). The $O(\cdot)$ notation hides an exponential dependence on the dimensionality of the clusters, which we show to be necessary. Our algorithm is simple, easy to implement, and can also learn the clusters using low-stretch separators, a class of ellipsoids with additional theoretical guarantees. Experiments on large synthetic datasets confirm that we can reconstruct the latent clustering exactly and efficiently.
Obesity in Pregnancy: A Big Problem and Getting Bigger

Obesity has increased dramatically in the United States over the last several decades, with approximately 40% of women now considered overweight or obese. Obesity has been shown to be associated with poor pregnancy outcomes, including increased rates of cesarean delivery, preeclampsia, gestational diabetes, fetal macrosomia, stillbirth, and postterm pregnancy. In this review, we discuss the association of obesity with maternal, fetal, and pregnancy outcomes as well as the recommendations for care of the obese gravida. Target Audience: Obstetricians and gynecologists and family physicians Learning Objectives: After completing the CME activity, physicians should be better able to describe the maternal, neonatal, and intrapartum complications associated with obesity in pregnancy and implement additional changes to prenatal care appropriate for the obese gravida.
Wide spectrum denoising (WSD) for super-resolution microscopy imaging using compressed sensing and a high-resolution camera

Because of the lack of effective denoising methods, any form of denoising is seldom performed for super-resolution microscopy, resulting in poor temporal and spatial resolutions. We propose a denoising method for STORM raw images based on compressed sensing and high-resolution cameras. This method overcomes the limitation that the raw pixel size must be approximately equal to the standard deviation of the point spread function. This method can be effectively used to remove random noise such as Poisson and Gaussian noise from very low density to ultra-high density fluorescent molecular distribution scenarios. Therefore, it is a wide spectrum denoising algorithm. Using this method, it was demonstrated that the SNR of a raw image can be increased by approximately 7 dB. Using CVX reconstruction, only 20 frames of the raw image are needed, and the time resolution is 0.86 s. The spatial resolution is also greatly improved.
Whole-exome sequencing in relapsing chronic lymphocytic leukemia : clinical impact of recurrent RPS 15 mutations

Whole-exome sequencing in relapsing chronic lymphocytic leukemia: clinical impact of recurrent RPS15 mutations Viktor Ljungström,* Diego Cortese,* Emma Young, Tatjana Pandzic, Larry Mansouri, Karla Plevova, Stavroula Ntoufa, Panagiotis Baliakas, Ruth Clifford, Lesley-Ann Sutton, Stuart J. Blakemore, Niki Stavroyianni, Andreas Agathangelidis, Davide Rossi, Martin Höglund, Jana Kotaskova, Gunnar Juliusson, Chrysoula Belessi, Nicholas Chiorazzi, Panagiotis Panagiotidis, Anton W. Langerak, Karin E. Smedby, David Oscier, Gianluca Gaidano, Anna Schuh, Frederic Davi, Christiane Pott, Jonathan C. Strefford, Livio Trentin, Sarka Pospisilova, Paolo Ghia, Kostas Stamatopoulos, Tobias Sjöblom, and Richard Rosenquist Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Central European Institute of Technology, Masaryk University and University Hospital Brno, Brno, Czech Republic; Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece; Oxford National Institutes of Health Research Biomedical Research Centre, University of Oxford, Oxford, United Kingdom; Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; Hematology Department and Hematopoietic Cell Transplantation Unit, G. Papanicolaou Hospital, Thessaloniki, Greece; Università Vita-Salute San Raffaele and Division of Experimental Oncology and Department of Onco-Hematology, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, Milan, Italy; Division of Hematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy; Department of Medical Sciences, Section of Hematology, Uppsala University, Uppsala, Sweden; Department of Laboratory Medicine, Stem Cell Center, Lund University, Lund, Sweden; Hematology Department, General Hospital of Nikea, Piraeus, Greece; Karches Center for Chronic Lymphocytic Leukemia Research, The Feinstein Institute for Medical Research, Manhasset, New York; First Department of Propaedeutic Medicine, School of Medicine, University of Athens, Athens, Greece; Department of Immunology, Laboratory for Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands; Department of Medicine Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden; Department of Haematology, Royal Bournemouth Hospital, Bournemouth, United Kingdom; Laboratory of Hematology and Universite Pierre et Marie Curie, Hopital Pitie-Salpetriere, Paris, France; Second Medical Department, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany; and Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy
CS-Embed-francesita at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysis

The growing popularity and applications of sentiment analysis of social media posts has naturally led to sentiment analysis of posts written in multiple languages, a practice known as code-switching. While recent research into code-switched posts has focused on the use of multilingual word embeddings, these embeddings were not trained on code-switched data. In this work, we present word-embeddings trained on code-switched tweets, specifically those that make use of Spanish and English, known as Spanglish. We explore the embedding space to discover how they capture the meanings of words in both languages. We test the effectiveness of these embeddings by participating in SemEval 2020 Task 9: ~\emph{Sentiment Analysis on Code-Mixed Social Media Text}. We utilised them to train a sentiment classifier that achieves an F-1 score of 0.722. This is higher than the baseline for the competition of 0.656, with our team (codalab username \emph{francesita}) ranking 14 out of 29 participating teams, beating the baseline.
A brief review of Phase 1 and Clinical Pharmacology statistics in clinical drug development

Following a brief description of historical Phase 1 research, Clinical Pharmacology studies, and the role of statistics in this setting, Phase 1 study design and statistical analysis are reviewed. A description of design and analysis for Clinical Pharmacology studies is also provided, and the role of statistics in this area of drug development in the future is discussed. While challenging, this area of statistics in drug development is likely to have an active and engaging future. Copyright © 2007 John Wiley & Sons, Ltd.
rRNA gene restriction patterns of Haemophilus influenzae biogroup aegyptius strains associated with Brazilian purpuric fever

The rRNA gene restriction patterns of 92 isolates of Haemophilus influenzae biogroup aegyptius, associated with conjunctivitis or Brazilian purpuric fever in the State of São Paulo, Brazil, were studied with 16 + 23S rRNA from Escherichia coli as a probe. All strains were classified into 15 patterns. Isolates from Brazilian purpuric fever cases were seen only in patterns 3 (most frequently) and 4 (rarely), whereas isolates from conjunctivitis were found in all 15 patterns. The study demonstrated that rRNA from E. coli can serve as a probe for molecular epidemiology.
First-order perturbation analysis of low-rank tensor approximations based on the truncated HOSVD

The truncated version of the higher-order singular value decomposition (HOSVD) has a great significance in multi-dimensional tensor-based signal processing. It allows to extract the principal components from noisy observations in order to find a low-rank approximation of the multi-dimensional data. In this paper, we address the question of how good the approximation is by analytically quantifying the tensor reconstruction error introduced by the truncated HOSVD. We present a first-order perturbation analysis of the truncated HOSVD to obtain analytical expressions for the signal subspace error in each dimension as well as the tensor reconstruction error induced by the low-rank approximation of the noise corrupted tensor. The results are asymptotic in the signal-to-noise ratio (SNR) and expressed in terms of the second-order moments of the noise, such that apart from a zero mean, no assumptions on the noise statistics are required. Empirical simulation results verify the obtained analytical expressions.
A Community-Centred Alcoholism Assessment/Treatment Service: A Descriptive Study

This paper describes socio-demographic, alcohol-related, legal, medical, behavioural and treatment characteristics of 407 patients with problems of alcoholism / drug abuse assessed over a period of three years in a community oriented assessment and treatment program. The results show that patients entering this program represent a cross section of alcoholics in the area. These patients are similar to those entering traditional outpatient and residential facilities on most demographic variables; severity of alcoholism, length of history, and previous treatment experience. However, they are slightly younger and differ significantly from the others on their sources of referral. Over the three year period a significant change has occurred in the relationship between the program and the sources of referral. The implications of these findings for planning comprehensive treatment services for alcoholism are discussed.
An Energy-Efficient MAC Protocol Employing Dynamic Threshold for Wireless Sensor Networks

Energy efficiency is a critical issue for sensor network since the network lifetime depends on efficient management of the energy resource of sensor nodes. Particularly, designing energy efficient MAC protocol has a significant influence on the performance of wireless sensor network with regards to the energy. The existing MAC protocols developed for sensor network try to avoid energy waste during idle listening time by controlling the duty cycle of the transmission period. Since the traffic conditions are diverse, they may not always display improvements in energy consumption. In this paper we propose a new energy efficient MAC protocol called dynamic threshold MAC (DT-MAC), which employs a dynamic threshold for the buffer of each sensor node to maximize the energy efficiency regardless of specific network traffic condition. Here the packets are stored in the buffer, and then transmitted when the number of packets in the buffer exceeds the threshold dynamically decided according to the number of hops of the node from the source in the path of packet forwarding. The simulation results using OMNnet++ show that DT-MAC enables significant improvement in energy consumption compared to the existing MAC protocols. The proposed DT-MAC protocol also reduces the number of transmissions of control packets.
Overview of Resistive Random Access Memory (RRAM): Materials, Filament Mechanisms, Performance Optimization, and Prospects

Because conventional nonvolatile memory is limited by process technology and physical size, resistive random access memory (RRAM) gradually enters the field of view due to its simple structure, fast program/erase speed, low power consumption, and so on. This review article summarizes the materials, filament mechanisms, performance optimization, and application prospects of RRAM structures to provide readers with a reference for future investigation. The filament mechanisms, which involve the electrochemical metallization mechanism (ECM), valence change mechanism (VCM), and thermochemical mechanism (TCM), of RRAM devices are particularly highlighted. The parameters that determine the RRAM characteristics such as operating voltages, ON/OFF ratio, endurance, and data retention are improved by incorporating the three methods: 1) “interface engineering”, 2) element doping of functional materials, and 3) introduction of low‐dimensional materials. In the last section, a brief introduction to the future RRAM application prospects and challenges is provided.
Bridging evolutionary game theory and metabolic models for predicting microbial metabolic interactions

Microbial metabolic interactions impact ecosystems, human health and biotechnological processes profoundly. However, their determination remains elusive, invoking an urgent need for predictive models that seamlessly integrate ecological, evolutionary principles and metabolic details. Recognizing that metabolic interactions form a complex game in which an individuals strategies are a metabolic flux space constrained also by other individuals strategies, we formulated a bi-level optimization framework termed NECom, which is free of a long hidden ‘forced altruism’ setup adopted by previous algorithms, for prediction of Nash equilibria of microbial metabolic interactions with significantly enhanced accuracy. A complementary shadow-price-based iterative algorithm was used to predict state transitions and draw analogy to traditional payoff matrix analysis. We successfully predicted several classical games in the context of metabolic interactions that were falsely or incompletely predicted by existing methods, including prisoner’s dilemma, snowdrift and mutualism, providing insights into why mutualism is favorable despite seemingly costly cross-feeding metabolites, and demonstrating NECom’s potential to predict heterogeneous phenotypes among the same species. An in-depth analysis on a reported algae-yeast co-culture showed that NECom can capture and explain experimental trends using a minimal amount of experimental data as inputs without ad-hoc parameters, and that growth limiting crossfeeding metabolites can be pinpointed by shadow price analysis of NECom solutions to explain frequency-dependent growth pattern, shedding light on control of microbial populations.