Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression of heparanase by platelets and circulating cells of the immune system: possible involvement in diapedesis and extravasation.

Interaction of T and B lymphocytes, platelets, granulocytes, macrophages and mast cells with the subendothelial extracellular matrix (ECM) is associated with degradation of heparan sulfate (HS) by a specific endoglycosidase (heparanase) activity. The enzyme is released from intracellular compartments (i.e., lysosomes, specific granules) in response to various activation signals (i.e., thrombin, calcium ionophore, immune complexes, antigens, mitogens), suggesting its regulated involvement in inflammation and cellular immunity. In contrast, various tumor cells appear to express and secrete heparanase in a constitutive manner, in correlation with their metastatic potential. Heparanase enzymes produced by different cell types may exhibit different molecular properties and substrate cleavage specificities. The platelet enzyme appears also in a latent form. It can be activated by tumor cells and thereby facilitate their extravasation in the process of metastasis. Degradation of ECM-HS by all cell types was facilitated by a proteolytic activity residing in the ECM and/or expressed by the invading cells. This proteolytic activity produced a more accessible substrate for the heparanase enzymes. Heparanase-inhibiting, nonanticoagulant species of heparin markedly reduced the incidence of lung metastasis in experimental animals. These species of heparin also significantly impaired the traffic of T lymphocytes and suppressed cellular immune reactivity and experimental autoimmune diseases. Heparanase activity expressed by intact cells (i.e., platelets, mast cells, neutrophils, lymphoma cells) was found to release active HS-bound basic fibroblast growth factor from ECM and basement membranes. Heparanase may thus elicit an indirect neovascular response in processes such as wound repair, inflammation and tumor development. The significant anticancerous effect of heparanase-inhibiting molecules may therefore be attributed to their potential inhibition of both tumor invasion and angiogenesis. Both normal leukocytic cells and metastatic tumor cells can enter the bloodstream, travel to distant sites and extravasate to the parenchyma at these sites. We suggest that heparanase is utilized for this purpose by both types of cells. Other functions (i.e., enzyme activities, adhesive interactions, chemotactic and proliferative responses) of metastatic tumor cells seem to mimic the equivalent functions of leukocytes as they migrate across blood vessels to gain access to sites of inflammation.
Study on Mining Emotions from Literature : A Method Using Computers to Extract Opinionated Knowledge

Knowledge discovery from text has emerged as a possible solution for the current information explosion. This refers to the process of extracting non-trivial previously unknown patterns from unstructured text. With the vast amount of on line resources on web and popularity of fast and rich resources lead to the requirement of extracting the emotion from human authored text document from on line review sites and personal blogs. This makes sentiment analysis has become an interesting area of research. Human perception and user opinion has greater potential for knowledge discovery and decision support. In this paper, a detailed view of extraction of opinion from knowledge nuggets is presented. This applies to capture emotion from unstructured text document and web documents.
On the viability of holistic cosmic-ray source models

We consider the energy spectrum of cosmic-rays (CRs) from a purely phenomenological point of view and investigate the possibility that they all be produced by the same type of sources with a single power-law spectrum, in E^{-x}, from thermal to ultra-high energies. We show that the relative fluxes of the Galactic (GCR) and extra-galactic (EGCR) components are compatible with such a holistic model, provided that the index of the source spectrum be x \simeq 2.23\pm 0.07. This is compatible with the best-fit indices for both GCRs and EGCRs, assuming that their source composition is the same, which is indeed the case in a holistic model. It is also compatible with theoretical expectations for particle acceleration at relativistic shocks.
Adaptive clustering for scalable key management in dynamic group communications

Group key management has received a particular attention, these last years, in both academic and industry research communities. This is due to the economical relevance of group-based applications, such as video on demand, video-conferencing, collaborative work, and so forth. The dynamic aspect of group applications due to free membership joins and leaves in addition to members' mobility, makes security further challenging in the context of group communications. In this paper, we propose a novel key management approach based on adaptive clustering of encryption areas in order to tackle both scalability and dynamism issues in secure group communications. We demonstrate the pertinence of our solution through a proof of optimality with respect to the stated optimisation problem, and simulation results that illustrate when and how our solution outperforms other approaches proposed in the literature.
Dietary Fat Acutely Increases Glucose Concentrations and Insulin Requirements in Patients With Type 1 Diabetes

OBJECTIVE Current guidelines for intensive treatment of type 1 diabetes base the mealtime insulin bolus calculation exclusively on carbohydrate counting. There is strong evidence that free fatty acids impair insulin sensitivity. We hypothesized that patients with type 1 diabetes would require more insulin coverage for higher-fat meals than lower-fat meals with identical carbohydrate content. RESEARCH DESIGN AND METHODS We used a crossover design comparing two 18-h periods of closed-loop glucose control after high-fat (HF) dinner compared with low-fat (LF) dinner. Each dinner had identical carbohydrate and protein content, but different fat content (60 vs. 10 g). RESULTS Seven patients with type 1 diabetes (age, 55 ± 12 years; A1C 7.2 ± 0.8%) successfully completed the protocol. HF dinner required more insulin than LF dinner (12.6 ± 1.9 units vs. 9.0 ± 1.3 units; P = 0.01) and, despite the additional insulin, caused more hyperglycemia (area under the curve >120 mg/dL = 16,967 ± 2,778 vs. 8,350 ± 1,907 mg/dL⋅min; P < 0001). Carbohydrate-to-insulin ratio for HF dinner was significantly lower (9 ± 2 vs. 13 ± 3 g/unit; P = 0.01). There were marked interindividual differences in the effect of dietary fat on insulin requirements (percent increase significantly correlated with daily insulin requirement; R2 = 0.64; P = 0.03). CONCLUSIONS This evidence that dietary fat increases glucose levels and insulin requirements highlights the limitations of the current carbohydrate-based approach to bolus dose calculation. These findings point to the need for alternative insulin dosing algorithms for higher-fat meals and suggest that dietary fat intake is an important nutritional consideration for glycemic control in individuals with type 1 diabetes.
Influence of serum protein binding and mode of administration on penetration of five cephalosporins into subcutaneous tissue fluid in humans

The penetration of five cephalosporins into interstitial fluid was investigated by a new method employing cotton threads implanted subcutaneously. Penetration after short bolus injections, calculated as area under interstitial fluid level curve divided by area under serum level curve x 100, was 47.0% for cephradine, 30.6% for cefuroxime, 26.7% for cefotaxime, 24.6% for cefoxitin, and 9.6% for cefoperazone. There was an inverse correlation between the degree of penetration and serum protein binding with r = -0.97. The area under interstitial fluid level curves was the same whether the drugs were administered as short bolus injections or short time infusions.
3 The Regulation of Oocyte Maturation

Abbreviations 1-MA 1-methyladenine AC adenylate cyclase cADPr cyclic ADP-ribose CaMKII calcium/calmodulin-dependent kinase DHP 17,20b-dihydro-4-pregnen-3-one ER endoplasmic reticulum ES cells embryonic stem cells FF-MAS follicular fluid meiosis-activating sterol FSH follicle-stimulating hormone GPCR G-protein coupled receptor
Cardiomyopathy Hemodynamic Effects of Immunoadsorption and Subsequent Immunoglobulin Substitution in Dilated Cardiomyopathy Three-Month Results from a Randomized Study

METHODS Patients with DCM (n 5 18, New York Heart Association III–IV, left ventricular ejection fraction ,30%) and who were on stable medication participated in the study. Hemodynamic measurements were performed using a Swan-Ganz thermodilution catheter. The patients were randomly assigned either to the treatment group with IA and subsequent IgG substitution (IA/IgG group, n 5 9) or to the control group without IA/IgG (n 5 9). In the IA/IgG group, the patients were initially treated in one IA session daily on three consecutive days. After the final IA session, 0.5 g/kg of polyclonal IgG was substituted. At one-month intervals, IA was then repeated for three further courses with one IA session daily on two consecutive days, until the third month.
Heuristic Model Predictive Modulation for High-Power Cascaded Multilevel Converters

Phase-shifted carrier modulation is an industry standard in its application to multilevel H-bridge converters. The major advantage of this scheme over level-shifted and space vector modulation schemes is its inherent ability to evenly distribute losses between semiconductor devices. However, phase-shifted schemes suffer from harmonic degradation when operated at the low carrier frequencies required in high-power high-level number applications. This paper develops a model predictive modulation (MPM) scheme that achieves superior harmonic performance, compared to phase-shifted modulation, while ensuring equal semiconductor loss distribution. With respect to complete-enumeration-based predictive techniques, the proposed modulation significantly reduces the number of times the system cost function is evaluated. Reducing the number of calculations by several orders of magnitude ensures computational feasibility. Simulation and experimental results are presented, which confirm correct operation of the modulation strategy.
Transferring Objects: Joint Inference of Container and Human Pose

Transferring objects from one place to another place is a common task performed by human in daily life. During this process, it is usually intuitive for humans to choose an object as a proper container and to use an efficient pose to carry objects; yet, it is non-trivial for current computer vision and machine learning algorithms. In this paper, we propose an approach to jointly infer container and human pose for transferring objects by minimizing the costs associated both object and pose candidates. Our approach predicts which object to choose as a container while reasoning about how humans interact with physical surroundings to accomplish the task of transferring objects given visual input. In the learning phase, the presented method learns how humans make rational choices of containers and poses for transferring different objects, as well as the physical quantities required by the transfer task (e.g., compatibility between container and containee, energy cost of carrying pose) via a structured learning approach. In the inference phase, given a scanned 3D scene with different object candidates and a dictionary of human poses, our approach infers the best object as a container together with human pose for transferring a given object.
IgY Antibodies Protect against Human Rotavirus Induced Diarrhea in the Neonatal Gnotobiotic Piglet Disease Model

Group A Rotaviruses are the most common cause of severe, dehydrating diarrhea in children worldwide. The aim of the present work was to evaluate protection against rotavirus (RV) diarrhea conferred by the prophylactic administration of specific IgY antibodies (Ab) to gnotobiotic piglets experimentally inoculated with virulent Wa G1P[8] human rotavirus (HRV). Chicken egg yolk IgY Ab generated from Wa HRV hyperimmunized hens specifically recognized (ELISA) and neutralized Wa HRV in vitro. Supplementation of the RV Ab free cow milk diet with Wa HRV-specific egg yolk IgY Ab at a final ELISA Ab titer of 4096 (virus neutralization –VN- titer = 256) for 9 days conferred full protection against Wa HRV associated diarrhea and significantly reduced virus shedding. This protection was dose-dependent. The oral administration of semi-purified passive IgY Abs from chickens did not affect the isotype profile of the pig Ab secreting cell (ASC) responses to Wa HRV infection, but it was associated with significantly fewer numbers of HRV–specific IgA ASC in the duodenum. We further analyzed the pigś immune responses to the passive IgY treatment. The oral administration of IgY Abs induced IgG Ab responses to chicken IgY in serum and local IgA and IgG Ab responses to IgY in the intestinal contents of neonatal piglets in a dose dependent manner. To our knowledge, this is the first study to show that IgY Abs administered orally as a milk supplement passively protect neonatal pigs against an enteric viral pathogen (HRV). Piglets are an animal model with a gastrointestinal physiology and an immune system that closely mimic human infants. This strategy can be scaled-up to inexpensively produce large amounts of polyclonal IgY Abs from egg yolks to be applied as a preventive and therapeutic passive Ab treatment to control RV diarrhea.
High methylation of the SEPT 9 gene in Chinese colorectal cancer patients

Methylation of the septin 9 gene (SEPT9) occurs in higher frequency in colorectal cancer (CRC) compared to control samples, which suggests that SEPT9 methylation is a useful biomarker for screening CRC. However, the methylation status of SEPT9 in Chinese CRC patients is scarcely reported. In the present study, SEPT9 methylation was tested in CRC tissues obtained from a Chinese population and correlations with pathological characteristics were investigated. The methylation status of SEPT9 was detected using methylation-specific polymerase chain reaction (PCR)-denaturing high-performance liquid chromatography (MSP-DHPLC) in 234 colorectal tissues (172 cases, 62 controls). Samples were sequenced to confirm the results from MSP-DHPLC. The chi-squared test was used to analyze the correlation of SEPT9 gene methylation status and pathological characteristics in CRCs. SEPT9 gene methylation was detected in 152 of 172 (88.4%) cases of verified CRC and in 4 of 62 (6.5%) healthy controls (χ2 = 137.62, P < 0.001). There was no association between the methylation status of SEPT9 and age, gender,
FIHT2 Algorithm: A Fast Incremental Hough Transform

FIHT2 algorithm defined by p = x . cos 0 + y . sin 0 + (a/(21()) . x. sine at 0 5 6 < a/2 and at p = x. cose + y . sin 0 + (aJ(2It')) . y . cos 0 at a/2 5 0 < a is a Hough transform which requires nothing of the trigonometric and functional operations to generate the Hough distributions. It is demonstrated in this paper that the FIHT2 is a complete alternative of the usual Hough transform(HT) defined by p = x.cos O+y.sin 0 in the sense that the both transforms could work perfectly as a line detector. It is easy to show that the Hough curves of the FIIJT2 can be generated in a incremental way where addition operation is exclusively needed. It is also investigated that the difference between HT and FIHT2 could be estimated to be neglected.
Fatty old hearts: role of cardiac lipotoxicity in age-related cardiomyopathy

Age-related cardiomyopathy accounts for a significant part of heart failure cases. Imbalance of the energetic equilibrium of the heart along with mitochondrial dysfunction and impaired β-adrenergic receptor signaling contributes in the aggravation of cardiac function in the elderly. In this review article, studies that correlate cardiac aging with lipotoxicity are summarized. The involvement of inhibition of peroxisome proliferator-activated receptor-α, β-adrenergic receptor desensitization, and mitochondrial dysfunction as underlying mechanisms for the lipid-driven age-related cardiomyopathy are presented with the aim to indicate potential therapeutic targets for cardiac aging.
Comparison Of Pneumocystis Carinii Detection By Toluidine Blue O Staining, Direct Immunofluorescence And Dna Amplification In Sputum Specimens From Hiv Positive Patients

&NA; Pneumocystis carinii pneumonia (PCP) is the commonest opportunistic infection in AIDS patients. By using the polymerase chain reaction (PCR), specific DNA sequences can be amplified and used in diagnosis of infections such as PCP where the causative pathogen is both difficult to grow and present in low numbers. Twenty HIV positive patients were investigated for PCP. Twenty sputa (15 induced and 5 expectorated) had toluidine blue O staining, direct immunofluorescence and PCR performed for Pneumocystis carinii in a blinded fashion. PCR was performed using primers pAZ102‐E 5′ GATGGCTGTTTCCAAGCCCA 3′ and pAZ102‐H 5′ GTGTACGTTGCAAAGTACTC 3′ from the gene coding for Pneumocystis carinii mitochondrial ribosomal RNA with a specific 346 base‐pair sequence being amplified from positive specimens. Ten of the patients had Pneumocystis carinii shown by conventional tests and PCR. Another 3 patients were positive only by PCR, all had evidence of infection with Pneumocystis carinii; the first was positive by subsequent conventional stains, the second was treated for bacterial bronchitis but had a nonresolving chest infection with PCP found on postmortem after 4 mths, the third had a typical interstitial infiltrate on CXR and responded to empiric PCP treatment. PCR is more sensitive than toluidine blue O staining and direct immunofluorescence in detecting Pneumocystis carinii in sputum from HIV patients and may become the diagnostic method of choice for PCP.
Natural Anti-Intestinal Goblet Cell Autoantibody Production from Marginal Zone B Cells

Expression of a germline VH3609/D/JH2 IgH in mice results in the generation of B1 B cells with anti-thymocyte/Thy-1 glycoprotein autoreactivity by coexpression of Vk21-5/Jk2 L chain leading to production of serum IgM natural autoantibody. In these same mice, the marginal zone (MZ) B cell subset in spleen shows biased usage of a set of Ig L chains different from B1 B cells, with 30% having an identical Vk19-17/Jk1 L chain rearrangement. This VH3609/Vk19-17 IgM is reactive with intestinal goblet cell granules, binding to the intact large polymatrix form of mucin 2 glycoprotein secreted by goblet cells. Analysis of a μκ B cell AgR (BCR) transgenic (Tg) mouse with this anti–goblet cell/mucin2 autoreactive (AGcA) specificity demonstrates that immature B cells expressing the Tg BCR become MZ B cells in spleen by T cell–independent BCR signaling. These Tg B cells produce AGcA as the predominant serum IgM, but without enteropathy. Without the transgene, AGcA autoreactivity is low but detectable in the serum of BALB/c and C.B17 mice, and this autoantibody is specifically produced by the MZ B cell subset. Thus, our findings reveal that AGcA is a natural autoantibody associated with MZ B cells.
Distribution of Galanin and Galanin Receptor 2 in the Pre‐optic Area of the Female Guinea Pig

This study describes the distribution of galanin (Gal) and galanin receptor 2 (GalR2) in the pre‐optic area (POA) of the female guinea pig. Frozen sections were undergone for a routine immunofluorescence labelling. Gal and GalR2 display immunoreactivity in all parts of the pre‐optic area. Gal shows reactivity both in perikarya and fibres, whereas GalR2 was observed only in perikarya. Gal‐ and GalR2‐immunoreactive (‐ir) perikarya were the most numerous in the medial pre‐optic area (MPA) with the highest reactivity in its dorsal part. In the median pre‐optic nucleus (MPN) and periventricular pre‐optic nucleus (PPN), only single Gal‐ and GalR2‐ir neurons were observed. The highest density of Gal‐ir fibres was revealed in the PPN and the lowest in the lateral pre‐optic area (LPA). The results of this study indicate that the distribution pattern of Gal containing neurons overlaps well with the distribution pattern of GalR2‐positive neurons, especially in the MPA. This may suggest GalR2‐dependent activity in this brain region.
A two-level fusion approach to multimodal biometric verification

This paper proposes a two-level fusion strategy for audio-visual biometric authentication. Specifically, fusion is performed at two levels: intramodal and intermodal. In intramodal fusion, the scores of multiple samples (e.g. utterances or video shots) obtained from the same modality are linearly combined, where the combination weights depend on the difference between the score values and a client-dependent reference score obtained during enrollment. This is followed by intermodal fusion in which the means of intramodal fused scores obtained from different modalities are either linearly combined or fused by a support vector machine (SVM). Experimental results based on the XM2VTSDB corpus show that intramodal and intermodal fusion are complementary to each other and that SVM-based intermodal fusion is superior to linear combination.
Automatic Extraction of Briefing Templates

An approach to solving the problem of automatic briefing generation from non-textual events can be segmenting the task into two major steps, namely, extraction of briefing templates and learning aggregators that collate information from events and automatically fill up the templates. In this paper, we describe two novel unsupervised approaches for extracting briefing templates from human written reports. Since the problem is non-standard, we define our own criteria for evaluating the approaches and demonstrate that both approaches are effective in extracting domain relevant templates with promising accuracies.
Predicting Structured Data

In Chapters 1 and 2, the authors eloquently argue about comparing two distribution functions directly instead of comparing just two means. They present and discuss several orders of distribution functions. Chapter 3 extends the idea of location comparison to dispersion parameters of the distributions. Again, several orders of distribution functions are investigated. Chapters 4 and 5 use the idea of orders for a joint comparison of both location and dispersion of distribution function. In contrast, Chapters 6 and 7 study the analogous orders for multivariate distribution. Some advanced topics such as stochastic convexity and concavity are showcased in Chapter 8. Chapter 9 introduces and describes a positive dependence order that compares two bivariate random vectors and its extension to general n-dimensional random vectors. This is a nicely written and well-structured book, with excellent review sections. The authors provide many theoretical results in form of theorems and corollaries and often provide detailed proofs, making for a smooth reading experience. The major contribution is presented in first seven chapters. The authors provide detailed explanations of the various aspects of stochastic ordering and its applications in various related fields. The book’s infrastructure makes it an ideal candidate as an advanced-level textbook in a host of disciplines; however, the chapters do not offer exercises. I would like to have seen a summary or conclusion at the end of each chapter as well. Perhaps for some readers, the book’s structure may be sufficiently clear, and this is not essential. The book can be used as a reference manual by researchers; however, readers with a solid knowledge of mathematical statistics and probability theory will enjoy the maximum benefit.