Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Associated With Postpartum Hemorrhage With Vaginal Birth

A case-control study was performed to study risk factors for postpartum hemorrhage. Cases of hemorrhage were defined by a hematocrit decrease of 10 points or more between admission and post-delivery or by the need for red-cell transfusion. Patients with antenatal bleeding were excluded. Among 9598 vaginal deliveries, postpartum hemorrhage occurred in 374 cases (3.9%). Three controls were matched to each case and multiple logistic regression was used to control for covariance among predictor variables. Factors having a significant association with hemorrhage were prolonged third stage of labor (adjusted odds ratio 7.56), preeclampsia (odds ratio 5.02), mediolateral episiot-omy (4.67), previous postpartum hemorrhage (3.55), twins (3.31), arrest of descent (2.91), soft-tissue lacerations (2.05), augmented labor (1.66), forceps or vacuum delivery (1.66), Asian (1.73) or Hispanic (1.66) ethnicity, midline episiotomy (1.58), and nulliparity (1.45). These data may help predict postpartum hemorrhage and may be useful in counseling patients about the advisability of home delivery, intravenous access in labor, or autologous blood donation.
“Supply Chain Management Or Adaptive Business Network? – Coordination Versus Collaboration”

You are not the only company capable to create value for your clients. For making valuable products, for performing high standard services, one company is no longer enough in this new informational era, in this new needs era. Better business performing means now to satisfy more complex needs quicker than ever. Could one company face this challenge alone? Is there another way? Collaboration may be the answer. Maybe the most well-known term when it comes to collaboration between companies is Supply Chain. Why Supply Chain, why Supply Chain Management (SCM)? This article presents the answers to these questions, but also presents different approaches regarding SCM: the logistics approach regarding supply chain management, the strategic approach, the new entrepreneurial approach, supply chain as a win-win game. New paradigms regarding collaboration appeared regarding business collaboration: Adaptive Business Network (ABN). Do these new concepts imply the dead of SCM? Or are them only a new wave in SCM terminology and business orientation? Our conclusion is that these new approach is a normal change in business: businesses are made by people and people don’t like to be conducted (managed). The old-fashioned SCM was based on a coordinator versus several obedients relation. It is absolutely normal to dream at freedom and to be not very efficient while you have to play after somebody else rules. ABN is in the other side of human relations and also business relations – it insists on partnering. Everybody is a part of a chain which has as its main goal customer satisfaction, has the right to make proposals, to negotiate, and to be a winner. Of course, ABN appearance does not involve SCM disappearance, but change in how some chains are managed, in how some chains function. We shall see for the future if an organization with several brains is more successful.
Augmented Stage for Participatory Performances

Designing a collaborative performance requires the use of paradigms and technologies which can deeply influence the whole piece experience. In this paper we define a set of six metrics, and use them to describe and evaluate a number of platforms for participatory performances. Based on this evaluation, the Augmented Stage is introduced. Such concept describes how Augmented Reality techniques can be used to superimpose a performance stage with a virtual environment, populated with interactive elements. The manipulation of these objects allows spectators to contribute to the visual and sonic outcome of the performance through their mobile devices, while keeping their freedom to focus on the stage. An interactive acoustic rock performance based on this concept was staged. Questionnaires distributed to the audience and performers’ comments have been analyzed, contributing to an evaluation of the presented concept and platform done through the defined metrics.
Learning Supervised Feature Transformations on Zero Resources for Improved Acoustic Unit Discovery

In this work we utilize feature transformations that are common in supervised learning without having prior supervision, with the goal to improve Dirichlet process Gaussian mixture model (DPGMM) based acoustic unit discovery. The motivation of using such transformations is to create feature vectors that are more suitable for clustering. The need of labels for these methods makes it difficult to use them in a zero resource setting. To overcome this issue we utilize a first iteration of DPGMM clustering to generate frame based class labels for the target data. The labels serve as basis for learning linear discriminant analysis (LDA), maximum likelihood linear transform (MLLT) and feature-space maximum likelihood linear regression (fMLLR) based feature transformations. The novelty of our approach is the way how we use a traditional acoustic model training pipeline for supervised learning to estimate feature transformations in a zero resource scenario. We show that the learned transformations greatly support the DPGMM sampler in finding better clusters, according to the performance of the DPGMM posteriorgrams on the ABX sound class discriminability task. We also introduce a method for combining posteriorgram outputs of multiple clusterings and demonstrate that such combinations can further improve sound class discriminability. key words: acoustic unit discovery, Bayesian nonparametrics, feature transformation, unsupervised subword modeling, zero resource
Inositol Polyphosphate-4-Phosphatase Type I Negatively Regulates Phagocytosis via Dephosphorylation of Phagosomal PtdIns(3,4)P2

Phagocytosis is a highly conserved process whereby phagocytic cells engulf pathogens and apoptotic bodies. The present study focused on the role of inositol polyphosphate-4-phosphatase type I (Inpp4a) in phagocytosis. Raw264.7 cells that express shRNA against Inpp4a (shInpp4a cells) showed significantly increased phagocytic activity. The introduction of shRNA-resistant human Inpp4a abolished this increase. Macrophages from Inpp4a knockout mice showed similar increases in the phagocytic activity. Inpp4a was recruited to the phagosome membrane by a mechanism other than the direct interaction with Rab5. PtdIns(3,4)P2 increased on the phagosome of shInpp4a cells, while PtdIns(3)P significantly decreased. The results indicate that Inpp4a negatively regulates the phagocytic activity of macrophages as a member of the sequential dephosphorylation system that metabolizes phagosomal PtdIns(3,4,5)P3 to PtdIns(3)P.
Immobilization of recombinant heparinase I fused to cellulose-binding domain.

Immobilization of biologically active proteins is of great importance to research and industry. Cellulose is an attractive matrix and cellulose-binding domain (CBD) an excellent affinity tag protein for the purification and immobilization of many of these proteins. We constructed two vectors to enable the cloning and expression of proteins fused to the N- or C-terminus of CBD. Their usefulness was demonstrated by fusing the heparin-degrading protein heparinase I to CBD (CBD-HepI and HepI-CBD). The fusion proteins were over-expressed in Escherichia coli under the control of a T7 promoter and found to accumulate in inclusion bodies. The inclusion bodies were recovered by centrifugation, the proteins were refolded and recovered on a cellulose column. The bifunctional fusion protein retained its abilities to bind to cellulose and degrade heparin. C-terminal fusion of heparinase I to CBD was somewhat superior to N-terminal fusion: Although specific activities in solution were comparable, the latter exhibited impaired binding capacity to cellulose. CBD-HepI-cellulose bioreactor was operated continuously and degraded heparin for over 40 h without any significant loss of activity. By varying the flow rate, the mean molecular weight of the heparin oligosaccharide produced could be controlled. The molecular weight distribution profiles, obtained from heparin depolymerization by free heparinase I, free CBD-HepI, and cellulose-immobilized CBD-HepI, were compared. The profiles obtained by free heparinase I and CBD-HepI were indistinguishable, however, immobilized CBD-HepI produced much lower molecular weight fragments at the same percentage of depolymerization. Thus, CBD can be used for the efficient production of bioreactors, combining purification and immobilization into essentially a single step.
A GRID-BASED APPROACH FOR FINDING CONDITIONAL SHORTEST PATHS IN AN UNKNOWN ENVIRONMENT

The problem of nding a shortest path through a known environment has been well studied. A more realistic and challenging problem is navigation through an unknown environment, where path planning is implemented \on the y" as new obstacle information becomes available through external sensors. A conditional shortest path is a path of shortest Euclidean distance that is computed based on the available environmental information at a given time. This paper solves this problem and proposes an eecient method for propagating a circular artiicial path planning wave to assign \eeective cost" information to various locations in an unknown environment. The proposed method removes many of the limitations previously associated with grid based path planning approaches, converges in real-time, and does not place any unrealistic constraints on obstacles or on the environment.
Gain‐of‐Function KCNH2 Mutations in Patients with Brugada Syndrome

Brugada syndrome (BrS) is an inherited disease characterized by right precordial ST segment elevation on electrocardiograms (ECGs) that predisposes patients to sudden cardiac death as a result of polymorphic ventricular tachyarrhythmia or ventricular fibrillation (VF). In BrS patients, except for SCN5A, mutations in other responsible genes are poorly elucidated.
Epithelial to mesenchymal transition predicts gefitinib resistance in cell lines of head and neck squamous cell carcinoma and non–small cell lung carcinoma

The modest response of patients with head and neck squamous cell carcinoma (HNSCC) and non–small cell lung carcinoma (NSCLC) to epithelial growth factor receptor tyrosine kinase inhibitors such as gefitinib and erlotinib indicates the need for the development of biomarkers to predict response. We determined gefitinib sensitivity in a panel of HNSCC cell lines by a 5-day 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay and confirmed these responses with analysis of downstream signaling by immunoblotting and cell cycle arrest. Basal gene expression profiles were then determined by microarray analysis and correlated with gefitinib response. These data were combined with previously reported NSCLC microarray results to generate a broader predictive index. Common markers of resistance between the two tumor types included genes associated with the epithelial to mesenchymal transition. We confirmed that increased protein expression of vimentin combined with the loss of E-cadherin, claudin 4, and claudin 7 by immunoblotting was associated with gefitinib resistance in both HNSCC and NSCLC cell lines. In addition, the loss of the Ca2+-independent cell-cell adhesion molecules EpCAM and TROP2 in resistant lines was confirmed by immunofluorescence. Tumor xenografts derived from the gefitinib-sensitive UM-SCC-2 were growth-delayed by gefitinib, whereas the gefitinib-resistant 1483 xenografts were unaffected. These data support a role for epithelial to mesenchymal transition in establishing gefitinib resistance for both HNSCC and NSCLC, and indicate that clinical trials should address whether these biomarkers will be useful for patient selection. [Mol Cancer Ther 2007;6(6):1683–91]
System for automatic generation of algorithm visualizations based on pseudocode interpretation

Algorithm visualization systems have not been as widely adopted by computer science educators as it might be expected from the firm belief that they can enhance computer science education. Two key impediments for widely adopting AV technology in mainstream computer science are: effectiveness and enhancements of learning with visualization and effort needed to create algorithm visualizations. In this paper, we present the interpretation based system capable of automatic creation of algorithm visualizations by interpreting unmodified algorithms written in pseudocode. Although system is interpreting unmodified source code (code without any annotations for triggering appropriate visualization routines), due to the ability to automatically detect interesting events system is able to create visualizations at a sufficiently high level of abstraction so that the emphasis is on algorithmic conceptually relevant principles. Providing users with full control over input data set and by accompanying animation with explanatory messages, highlighting currently executing pseudocode line and providing possibility to inspect variable values at any step visualizations created by our system that can enhance learning and help students mastering algorithms basic concepts.
Gonococcal sensitivity to fecal lipids can be mediated by an Mtr-independent mechanism

Various factors affect the sensitivity of Neisseria gonorrhoeae to physiological levels of hydrophobic molecules. A total of 98 N. gonorrhoeae strains from rectal, cervical, and urethral cultures of homosexual men and heterosexual men and women were examined for their sensitivities to fecal lipids. Isolates were characterized according to cell envelope phenotype, auxotype, and protein I serogroup. Although cell envelope phenotype was an important factor in the resistance of this organism to fecal lipids (Mtr phenotype greater than wild type greater than Env phenotype), other factors were also of importance. AHU- strains (strains having a requirement for arginine, hypoxanthine, and uracil) uniformly exhibited a wild-type envelope phenotype but were as sensitive to fecal lipids as were Env strains. The protein I serogroup was not a factor in determining the sensitivity of wild-type envelope phenotype non-AHU- strains to fecal lipids. However, sexual preference and site of isolation were important factors. Wild-type envelope phenotype (non-AHU-) strains from homosexual men and heterosexual women were more resistant to fecal lipids than were similar isolates from heterosexual men. When these strains were compared by isolation site, it was observed that rectal isolates from homosexual men and heterosexual women were more resistant than were cervical isolates from heterosexual women or urethral isolates from heterosexual men. Urethral isolates from homosexual men were also more resistant to fecal lipids than were urethral isolates from heterosexual men. These data suggest that the host environment can select for increased resistance to hydrophobic molecules by an Mtr-independent mechanism. The basis for this Mtr-independent resistance is presently unknown, but it is likely that it involves an alteration of the target site(s) for fecal lipid inhibition.
DPDSN : Detection of packet-dropping attacks for wireless sensor networks

Denial-of-service (DoS) attacks on wireless sensor networks (WSNs) can deplete network resources and energy without much effort on the part of an adversary. Packetdropping attacks are one category of DoS attacks. Lightweight solutions to detect such attacks on WSNs are needed. Current techniques for detecting such attacks in ad hoc networks need to monitor every node in the network. Once they detect malicious nodes that drop packets, a new path has to be found that does not include them. In this paper, we propose a lightweight solution called DPDSN. It identifies paths that drop packets by using alternate paths that WSN finds earlier during route discovery. Responding to a packet-dropping attack incurs no additional cost because one of the alternate paths is utilized for all subsequent communication. DPDSN does not require monitoring individual nodes, making it feasible for WSNs. We formulate the probability of success and failure of DPDSN in the presence of malicious nodes that drop packets. We compare our approach with existing techniques. Our analysis found that the overhead of DPDSN is at most ) ( N Ο for a two-dimensional grid network of N nodes. Our simulations show that the overhead of DPDSN for a WSN with 100 nodes is less than 3% of energy consumed on route discovery when using DSR or Directed Diffusion routing protocols. KeywordsDenial-of-service, intrusion detection, wireless sensor networks.
Shigella IpaH Family Effectors as a Versatile Model for Studying Pathogenic Bacteria

Shigella spp. are highly adapted human pathogens that cause bacillary dysentery (shigellosis). Via the type III secretion system (T3SS), Shigella deliver a subset of virulence proteins (effectors) that are responsible for pathogenesis, with functions including pyroptosis, invasion of the epithelial cells, intracellular survival, and evasion of host immune responses. Intriguingly, T3SS effector activity and strategies are not unique to Shigella, but are shared by many other bacterial pathogens, including Salmonella, Yersinia, and enteropathogenic Escherichia coli (EPEC). Therefore, studying Shigella T3SS effectors will not only improve our understanding of bacterial infection systems, but also provide a molecular basis for developing live bacterial vaccines and antibacterial drugs. One of Shigella T3SS effectors, IpaH family proteins, which have E3 ubiquitin ligase activity and are widely conserved among other bacterial pathogens, are very relevant because they promote bacterial survival by triggering cell death and modulating the host immune responses. Here, we describe selected examples of Shigella pathogenesis, with particular emphasis on the roles of IpaH family effectors, which shed new light on bacterial survival strategies and provide clues about how to overcome bacterial infections.
Twelve C2H2 zinc-finger genes on human chromosome 19 can be each translated into the same type of protein after frameshifts

We report a discovery that, of the 226 C2H2 zinc-finger (C2H2-ZNF) genes on human chromosome 19, 12 genes each have two open reading frames (ORFs) that are in different reading frames but that can be translated into the same type of C2H2-ZNF proteins. We came to this observation after using standard tools in an original manner. First, we found that the both ORFs of such a gene contained the same type of significant C2H2-ZNF domain with e-values of e-2 or better. Second, the both ORFs had a promoter, a transcription start site, a start codon, a Kozak pattern and a poly(A) site; hence, each of them can be viewed as a gene in terms of a gene's primary structure. Third, both the ORFs matched not only human C2H2-ZNF expressed sequence tags (ESTs) but also human C2H2-ZNF proteins with e-values of e-50 or better. This indicates that the both ORFs can be transcribed and translated into the same zinc-finger proteins. More importantly, we observed that the phenomenon-a DNA can be translated into the same type of proteins after a frameshift-also occurred in a set of 160 human C2H2-ZNF ESTs and in a set of nine cDNAs of human C2H2-ZNF proteins. This observation based on the two sets of wet-experimental data much strengthened our confidence on the discovery. Our discovery is useful in the deeper understanding of a gene's regulatory mechanism to maintain its function.
A Lag Effect of IT Investment on Firm Performance

This article discusses the positive effects of IT investment on firm financial performance when a distinct range of characteristics is examined. The relationship between IT investment and firm performance considering the information intensity of the industry is explored using a distributed lag model. Findings indicate both a positive effect and a positive lag effect of IT investment. The effects of IT investment in the high information-intensive industry are significantly larger than in the low information-intensive industry. Furthermore, a lagged effect of IT investment is larger than an immediate effect, regardless of the information intensity of the industry. We conclude that firms in the high information-intensive industry need to be more cognizant of performance factors when investing in IT investment than in the low information-intensive industry. Moreover, it is necessary to consider the time lag between IT investment and firm performance.
Infinifont: a Parametric Font Generation System

SUMMARY We have developed a high-performance parametric font generation system for the creation and commercial supply of digital fonts, and in particular, for generating a wide variety of digital typefaces using a single compact representation of typographic knowledge and characteristics. Typographic feature detail can be added or removed, depending on the application. The system does not rely on master outlines for interpolation between or extrapolation from static typefaces. Our current implementation of this technology generates 50 Latin text characters per second on a 25-MHz 80386 platform without the use of a mathematics coprocessor.
XRay views: understanding the internals of classes

Understanding the internal workings of classes is a key prerequisite to maintaining an object-oriented software system. Unfortunately, classical editing and browsing tools offer mainly linear and textual views of classes and their implementation. These views fail to expose the semantic relationships between the internal parts of a class. We propose X-Ray views - a technique based on concept analysis - which reveal the internal relationships between groups of methods and attributes of a class. X-Ray views are composed of elementary collaborations between attributes and methods, and help the engineer to build a mental model of how a class works internally. In this paper we present X-Ray views, and illustrate the approach by applying it on the Smalltalk class UIBuilder.
Increased tricarboxylic acid cycle flux in rat brain during forepaw stimulation detected with 1H[13C]NMR.

NMR spectroscopy was used to test recent proposals that the additional energy required for brain activation is provided through nonoxidative glycolysis. Using localized NMR spectroscopic methods, the rate of C4-glutamate isotopic turnover from infused [1-(13)C]glucose was measured in the somatosensory cortex of rat brain both at rest and during forepaw stimulation. Analysis of the glutamate turnover data using a mathematical model of cerebral glucose metabolism showed that the tricarboxylic acid cycle flux [(V(TCA)] increased from 0.49 +/- 0.03 at rest to 1.48 +/- 0.82 micromol/g/min during stimulation (P < 0.01). The minimum fraction of C4-glutamate derived from C1-glucose was approximately 75%, and this fraction was found in both the resting and stimulated rats. Hence, the percentage increase in oxidative cerebral metabolic rate of glucose use (CMRglc) equals the percentage increases in V(TCA) and cerebral metabolic rate of oxygen consumption (CMRO2). Comparison with previous work for the same rat model, which measured total CMRglc [Ueki, M. , Linn, F. & Hossman, K. A. (1988) J. Cereb. Blood Flow Metab. 8, 486-4941, indicates that oxidative CMRglc supplies the majority of energy during sustained brain activation.