Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypoglycaemia and hyperglycaemia are associated with unfavourable outcome in infants with hypoxic ischaemic encephalopathy: a post hoc analysis of the CoolCap Study

Objective To investigate the association of neonatal hypoglycaemia and hyperglycaemia with outcomes in infants with hypoxic ischaemic encephalopathy (HIE). Design Post hoc analysis of the CoolCap Study. Setting 25 perinatal centres in the UK, the USA and New Zealand during 1999–2002. Patients 234 infants at ≥36 weeks’ gestation with moderate-to-severe HIE enrolled in the CoolCap Study. 214 (91%) infants had documented plasma glucose and follow-up outcome data. Intervention Infants were randomised to head cooling for 72 h starting within 6 h of birth, or standard care. Plasma glucose levels were measured at predetermined time intervals after randomisation. Main outcome measure The unfavourable primary outcome of the study was death and/or severe neurodevelopmental disability at 18 months. Hypoglycaemia (≤40 mg/dL, ≤2.2 mmol/L) and hyperglycaemia (>150 mg/dL, >8.3 mmol/L) during the first 12 h after randomisation were investigated for univariable and multivariable associations with unfavourable primary outcome. Results 121 (57%) infants had abnormal plasma glucose values within 12 h of randomisation. Unfavourable outcome was observed in 126 (60%) infants and was more common among subjects with hypoglycaemia (81%, p=0.004), hyperglycaemia (67%, p=0.01) and any glucose derangement within the first 12 h (67%, p=0.002) compared with normoglycaemic infants (48%) in univariable analysis. These associations remained significant after adjusting for birth weight, Apgar score, pH, Sarnat stage and hypothermia therapy. Conclusions Both hypoglycaemia and hyperglycaemia in infants with moderate-to-severe HIE were independently associated with unfavourable outcome. Future studies are needed to investigate the prognostic significance of these associations and their role as biomarkers of brain injury. Trial registration number (ClinicalTrials.gov NCT00383305).
Strategies for Clonal Selection of Poplar Hybrids in Chile Based on Superior Wood Properties

Because the normal wood obtained today from most poplar plantings in Chile has a high degree of heterogeneity, we cannot achieve manufacturing a large and permanent volume of products derived from poplar wood with an adequate homogeneity in quality. One of the main reasons for this problem is the high probability that what is currently planted includes multiple unknown hybrids originated by natural hybridization among genotypes introduced in the past. Poplars were introduced in Chile in 1810. Until 1999, there were approximately 120 varieties in the country. Since 1999, our center has introduced more than 2,000 hybrids from different pedigrees and from the USA and Europe. Since 2002, we are establishing a nationwide clonal testing network. Some key objectives guiding the selection program are finding genotypes able to produce wood suitable for high quality end products and biomass with the right chemical composition for generating biofuels. Data collected from our clonal genetic tests are more complex to analyze because measures are doubly repeated. First, spatially because measures from two ramets from the same clone are actually repeated measures of the same genotype. Second, over time because measures of the same ramet taken at different moments are longitudinal data. Particularly, our data are taken in spatial sequence, such as a wood related trait measured within the stem of a tree at different heights or cambial age, at a particular height. Therefore, our statistical analyses are confronted with data correlated at multiple levels. In this paper, we review our current selection strategy. We discuss the linear mixed model methodology (LMM) that is suitable for the statistical and genetic analyses of repeated measures collected from clonal forest trials. This methodology permits the presence of heterogeneity of variance in the linear models related to our clonal tests and allows us to address directly the covariance structure of the data. We also explain how modeling the covariance structure significantly improves our ability to estimate the heritability and the variance of specific environmental effects, assess the presence of genotype-by-micro-environment and genotype-by-time interactions, and predict breeding values.
A novel online sketch graphics recognition method for the scene of road traffic accident

A novel online sketch graphics recognition for the scene of road traffic accident is proposed to make the traffic accident processing more conveniently and efficiently. The practical human-machine interaction interface is designed to support showing and updating the corresponding feedback graphics on the screen as the operator drawing. The graphics recognition process is the crucial part of human-machine system. This paper proposes a novel way for sketch graphics recognition of traffic accident scene, the experimental results show the effectiveness of the proposed method.
On the Calabi – Yau Phase of ( 0 , 2 ) Models

We study the Calabi-Yau phase of a certain class of (0, 2) models. These are conjectured to be equivalent to exact (0, 2) superconformal field theories which have been constructed recently. Using the methods of toric geometry we discuss in a few examples the problem of resolving the singularities of such models and calculate the Euler characteristic of the corresponding gauge bundles.
Activation of a microRNA response in trans reveals a new role for poly(A) in translational repression

Here, we report that the untreated rabbit reticulocyte lysate contains over 300 different endogenous microRNAs together with the major components of the RNA-induced silencing complex and thus can be used as a model in vitro system to study the effects of microRNAs on gene expression. By using this system, we were able to show that microRNA hybridization to its target resulted in a very rapid and strong inhibition of expression that was exerted exclusively at the level of translation initiation with no involvement of transcript degradation or deadenylation. Moreover, we demonstrate that the magnitude of microRNA-induced repression can only be recapitulated in the context of a competitive translating environment. By using a wide spectrum of competitor cellular and viral RNAs, we could further show that competition was not exerted at the level of general components of the translational machinery, but relied exclusively on the presence of the poly(A) tail with virtually no involvement of the cap structure.
Exploitation of social semantic technology for software development team configuration

Social networks are having a huge impact on how people socialise, gather information, stay informed and solve problems. As could be expected, this trend is influencing the area of software engineering at different levels. In software development, the amount of data available is becoming prohibitively overwhelming for analysis purposes with traditional techniques. As semantic technologies mature, they provide a consistent and reliable basis to handle large amounts of data. Besides, they enable added value, reasoning-based functionality to access such data in an automatic fashion. The authors present a system for supporting the design of teams for software development projects, which combines the benefits of semantics and social networks. The authors also propose a full-fledged solution backed with a proof-of-concept implementation that has been tested in the scope of small and medium enterprises (SME).
Biweekly Irinotecan and Cisplatin as Second-line Chemotherapy in Pretreated Patients with Advanced Gastric Cancer: A Multicenter Phase II Study

The current phase II study was conducted to evaluate the response rate and safety of a combination regimen of biweekly irinotecan plus cisplatin in pretreated patients with advanced gastric cancer. Patients with previously treated metastatic or recurrent gastric cancer received intravenous irinotecan 70 mg/m2 and cisplatin 30 mg/m2 on day 1 and 15 every 4-week cycle. Thirty-two patients were enrolled in the current study. Of these, 31 patients were assessable for efficacy and all for toxicity. No complete response and 5 partial responses were confirmed, giving an overall response rate of 15.6% (95% CI; 2.3-28.9%). The median time to progression and median overall survival for all patients was 113 days and 184 days, respectively. Grade 3/4 neutropenia occurred in 6 patients (18.8%), yet no febrile neutropenia was observed. In addition, grade 3 anorexia was observed in 4 patients (12.5%) and grade 3 diarrhea occurred in 2 patients (6.2%). The combination chemotherapy of biweekly irinotecan and cisplatin was found to be moderately effective and well tolerated in pretreated patients with advanced gastric cancer. Accordingly, this regimen can be regarded as an important second-line treatment option for advanced gastric cancer.
DEVELOPMENT AND CHARACTERIZATION OF A NOVEL VARIABLE LOW DOSE-RATE IRRADIATOR FOR IN VIVO MOUSE STUDIES

Radiation exposure of humans generally results in low doses delivered at low dose rate. Our limited knowledge of the biological effects of low dose radiation is mainly based on data from the atomic bomb Life Span Study (LSS) cohort. However, the total doses and dose rates in the LSS cohort are still higher than most environmental and occupational exposures in humans. Importantly, the dose rate is a critical determinant of health risks stemming from radiation exposure. Understanding the shape of the dose-rate response curve for different biological outcomes is thus crucial for projecting the biological hazard from radiation in different environmental and man-made conditions. A significant barrier to performing low dose-rate studies is the difficulty in creating radiation source configurations compatible with long-term cellular or animal experiments. In this study the design and characterization of a large area, 125I-based irradiator is described. The irradiator allows continuous long-term exposure of mice at variable dose rates and can be sited in standard animal care facilities. The dose rate is determined by the level of 125I activity added to a large NaOH-filled rectangular phantom. The desired dose rate is maintained at essentially constant levels by weekly additions of 125I to compensate for decay. Dosimetry results for long-term animal irradiation at targeted dose rates of 0.00021 and 0.0021 cGy min−1 are presented.
Effortful and automatic memory

Article abstract-With advancing age, there are changes in both cognitive functions and neurotransmitter metabolism. Dopamine plays a role in learning, memory, and related cognitive processes. We evaluated the effects of supplemental dopamine in precursor form (levodopa) on various aspects of memory in elderly normal volunteers in a controlled, double-blind study. Access to semantic memory and automatic processes were unaffected, but levodopa reliably facilitated effortful memory processing. Levodopa may be useful clinically in attenuating impairments in effortful cognitive tasks. Different neural systems probably mediate different forms of cognition.
A Supervised Method for Constructing Sentiment Lexicon in Persian Language

Due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. This problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. Construction of sentiment lexicon as a valuable language resource is a one of the important fields of study in this domain. The main researches in the area of sentiment analysis have focused on English language and few works considered the sentiment analysis in Persian language due to the lack of resources. This paper aims to introduce a supervised method for creating a sentiment dictionary in Persian language with extracting linguistic features in reviews and statistical mutual information to determine the sentiment orientation and sentistrength of words. To evaluate the proposed method, a set of existing reviews in the online retail site is used in various domains and the present dictionary is compared with Sentiwordnet. The results show the proposed method achieves an accuracy of 80% in determining the orientation of sentiment word.
Gray Platelet Syndrome in a Somalian family

The Gray Platelet Syndrome (GPS) is a rare inherited, hypogranular platelet disorder characterized by virtual absence of alpha granules in bone marrow megakaryocytes and circulating plates. Usually only one member of a family is affected, but families with two or more affected individuals have been reported from France, Australia, and Mexico, and, recently, the United States. The current study has evaluated the first family from East Africa with two affected members, a brother and sister. Neither child has had significant bleeding problems. Electron microscopic studies revealed almost complete absence of alpha granules from their platelets. Instead their platelets were filled with vacuoles similar in size to the missing granules. Dense bodies were normal in number in the girl's platelets, but markedly increased in her brother's cells. Tannic acid staining revealed that very few of the vacuoles were connected to channels of the open canalicular system. As a result, contents of the residual alpha granule vacuoles must leak out of the organelles and diffuse through megakaryocyte and platelet cytoplasm to the outside. The route of escape may differ from other hypogranular platelet syndromes, such as alpha-delta platelet storage pool deficiency.
Cancelable iris biometrics and using Error Correcting Codes to reduce variability in biometric data

With the increasing use of biometrics, more and more concerns are being raised about the privacy of the personal biometric data. Conventional biometric systems store biometric templates in a database. This may lead to the possibility of tracking personal information stored in one database by getting access to another database through cross-database matching. Moreover, biometric data are permanently associated with the user. Hence if stolen, they are lost permanently and become unusable in that system and possibly in all other systems based on that biometrics. In order to overcome this non-revocability of biometrics, we propose a two factor scheme to generate cancelable iris templates using iris-biometric and password. We employ a user specific shuffling key to shuffle the iris codes. Additionally, we introduce a novel way to use error correcting codes (ECC) to reduce the variabilities in biometric data. The shuffling scheme increases the impostor Hamming distance leaving genuine Hamming distance intact while the ECC reduce the Hamming distance for genuine comparisons by a larger amount than for the impostor comparisons. This results in better separation between genuine and impostor users which improves the verification performance. The shuffling key is protected by a password which makes the system truly revocable. The biometric data is stored in a protected form which protects the privacy. The proposed scheme reduces the equal error rate (EER) of the system by more than 90% (e.g., from 1.70% to 0.057% on the NIST-ICE database).
Towards Ecosystems based on Open Data as a Service

Despite several efforts in contests throughout the world that encourage local communities to develop applications based on government Open Data, the solutions resulting from such initiatives do not have longevity, lacking maintenance and rapidly falling into disuse. This is due mainly to the lack of investment or even a model for monetizing the use of such applications. Therefore, it is necessary to develop a model that fosters the value chain for Open Data aiming an economically self-sustained ecosystem. Such ecosystem should promote new businesses through the creation of systems and applications focused on citizens. This article discusses the creation of software ecosystems for services and applications underpinned by a platform based on Open Data as a Service.
Understanding the standardization strategies in China from the perspective of Actor-network Theory

Since Actor-network Theory (ANT) provides a suitable approach to examine the actions of various participants that align their interests around the standardization, this paper investigates the process by which an indigenous standard is created and promoted in a developing country and seeks to explain the phenomena from the perspective of ANT. It concludes that the various endeavors in standardization has mirrored China's ambitions of its manufacturing products to gradually progressing from “made in China” to “innovated in China”; from “the product maker” to “the rule maker”. This government-oriented standardization strategy can be observed distinctly in the process of translation.
Using graphics processing units to investigate molecular coevolution

We present a massively parallel implementation of the computation of (co)evolutionary signals from biomolecular sequence alignments based on mutual information (MI) and a normalization procedure to neutral evolution. The MI is computed for two‐point and three‐point correlations within any multiple sequence alignment. We meet the high computational demand in the normalization procedure efficiently with an implementation on Graphics Processing Units (GPUs) using NVIDIA's CUDA framework. In particular, the normalization of the MI for three‐point ‘cliques’ of amino acids or nucleotides requires large sampling numbers in the normalization, which we achieve by using GPUs. GPU computation serves as an enabling technology here insofar as MI normalization is also possible using traditional computational methods [1] or cluster computation, but only GPU computation makes MI normalization for sequence analysis feasible in a statistically sufficient sample and in acceptable time given affordable commodity hardware. We illustrate (i) the computational efficiency and (ii) the biological usefulness of two‐point and three‐point MI by applications to the well‐known protein calmodulin and the variable surface glycoprotein (VSG) of Trypanosoma brucei, which are subject to involved evolutionary pressure. Here, we find striking coevolutionary patterns and distinct information on the molecular evolution of these molecules that question previous work that relied on non‐efficient MI computations. Copyright © 2013 John Wiley & Sons, Ltd.
Extracting Human Temporal Orientation from Facebook Language

People vary widely in their temporal orientation—how often they emphasize the past, present, and future—and this affects their finances, health, and happiness. Traditionally, temporal orientation has been assessed by self-report questionnaires. In this paper, we develop a novel behavior-based assessment using human language on Facebook. We first create a past, present, and future message classifier, engineering features and evaluating a variety of classification techniques. Our message classifier achieves an accuracy of 71.8%, compared with 52.8% from the most frequent class and 58.6% from a model based entirely on time expression features. We quantify a users’ overall temporal orientation based on their distribution of messages and validate it against known human correlates: conscientiousness, age, and gender. We then explore social scientific questions, finding novel associations with the factors openness to experience, satisfaction with life, depression, IQ, and one’s number of friends. Further, demonstrating how one can track orientation over time, we find differences in future orientation around birthdays.
Multistream Multiuser Coordinated Beamforming for Cellular Networks With Multiple Receive Antennas

Multicell coordinated beamforming (CB) can mitigate intercell interference (ICI). However, existing work on CB focuses on systems that maximize overall throughput. This paper considers CB for systems with multiple receive antennas and further extends the CB to multiuser and multistream transmission. We consider fairness and pay close attention to cell-edge users. CB that maximizes the harmonic sum of signal-to-interference-plus-noise ratio (SINR) can be derived into a low-complexity algorithm that favors cell-edge users. Two iterative algorithms are developed. From the simulation results, the proposed algorithms can provide a better fifth-percentile user throughput compared with the CB algorithms minimizing mean square error, maximizing uplink SINR, and maximizing weighted sum rate. Furthermore, the computational complexity of the proposed algorithms is significantly lower than that maximizing the minimum SINR of users.
A Comparative Study of Teacher Efficacy in Charter and Traditional Public Schools

3 Copyright Page.4 Dedication . 5 List of Tables . 9 List of Figures . 10 List of Abbreviations . 11 CHAPTER ONE: INTRODUCTION . 12 Overview . 12 Background . 12 Problem Statement . 14 Purpose Statement . 14 Significance of the Study . 15 Research Questions . 16 Definitions.16 CHAPTER TWO: LITERATURE REVIEW . 18 Overview . 18 Introduction . 18 Theoretical Framework . 20 Bandura's Social Cognitive Theory . 20 Rotter's Social Learning Theory . 21 Teacher Efficacy Defined . 21 Gidden's Structuration Theory . 26
ST-Lib: A Library for Specifying and Classifying Model Behaviors

Test and verification procedures are a vital aspect of the development process for embedded control systems in the automotive domain. Formal requirements can be used in automated procedures to check whether simulation or experimental results adhere to design specifications and even to perform automatic test and formal verification of design models; however, developing formal requirements typically requires significant investment of time and effort for control software designers. We propose Signal Template Library (ST-Lib), a uniform modeling language to encapsulate a number of useful signal patterns in a formal requirement language with the goal of facilitating requirement formulation for automotive control applications. ST-Lib consists of basic modules known as signal templates. Informally, these specify a characteristic signal shape and provide numerical parameters to tune the shape. We propose two use-cases for ST-Lib: (1) allowing designers to classify design behaviors based on user-defined numerical parameters for signal templates, and (2) automatic identification of worst-case values for the signal template parameters for a given closed-loop model of an embedded control system. We show how ST-Lib can be used to improve user productivity by demonstrating its effectiveness on two case studies.