Miracle-dz/UniFAR-FTUs huggingface dataset:
A G ] 2 O ct 2 00 2 Schubert Varieties and Cycle Spaces

Let G0 be a real semisimple Lie group. It acts naturally on every complex flag manifold Z = G/Q of its complexification. Given an Iwasawa decomposition G0 = K0A0N0 , a G0– orbit γ ⊂ Z, and the dual K–orbit κ ⊂ Z, Schubert varieties are studied and a theory of Schubert slices for arbitrary G0–orbits is developed. For this, certain geometric properties of dual pairs (γ, κ) are underlined. Canonical complex analytic slices contained in a given G0-orbit γ which are transversal to the dual K0-orbit γ ∩ κ are constructed and analyzed. Associated algebraic incidence divisors are used to study complex analytic properties of certain cycle domains. In particular, it is shown that the linear cycle space ΩW (D) is a Stein domain that contains the universally defined Iwasawa domain ΩI . This is one of the main ingredients in the proof that ΩW (D) = ΩAG for all but a few hermitian exceptions. In the hermitian case, ΩW (D) is concretely described in terms of the associated bounded symmetric domain.
Communities in Networks

We survey some of the concepts, methods, and applications of community detection, which has become an increasingly important area of network science. To help ease newcomers into the field, we provide a guide to available methodology and open problems, and discuss why scientists from diverse backgrounds are interested in these problems. As a running theme, we emphasize the connections of community detection to problems in statistical physics and computational optimization.
Strong near-infrared emission in the sub-AU disk of the Herbig Ae star HD 163296: evidence of refractory dust?

We present new long-baseline spectro-interferometric observations of the HerbigAe star HD163296 obtained in the H and K bands with the AMBER instrument at VLTI. The observations cover a range of spatial resolutions between 3 and 12 milli-arcseconds, with a spectral resolution of ~30. With a total of 1481 visibilities and 432 closure phases, they result in the best (u,v) coverage achieved on a young star so far. The circumstellar material is resolved at the sub-AU spatial scale and closure phase measurements indicate a small but significant deviation from point-symmetry. We discuss the results assuming that the near-infrared excess in HD163296 is dominated by the emission of a circumstellar disk. A successful fit to the spectral energy distribution, near-infrared visibilities and closure phases is found with a model where a dominant contribution to the H and K band emissions arises from an optically thin, smooth and point-symmetric region extending from about 0.1 to 0.45 AU. At the latter distance from the star, silicates condense, the disk becomes optically thick and develops a puffed-up rim, whose skewed emission can account for the non-zero closure phases. We discuss the nature of the inner disk emission and tentatively rule out dense molecular gas as well as optically thin atomic or ionized gas as its possible origin. We propose instead that the inner emission traces the presence of very refractory grains in a partially cleared region, extending at least to 0.5 AU. If so, we may be observing the disk of HD163296 just before it reaches the transition disk phase. However, we note that the nature of the refractory grains or even the possibility for any grain to survive at the very high temperatures we require (~2100-2300 K at 0.1 AU from the star) is unclear and should be investigated further.
A Semigroup Approach to Wreath-Product Extensions of Solomon's Descent Algebras

There is a well-known combinatorial model, based on ordered set partitions, of the semigroup of faces of the braid arrangement. We generalize this model to obtain a semigroup ${\cal F}_n^G$ associated with $G\wr S_n$, the wreath product of the symmetric group $S_n$ with an arbitrary group $G$. Techniques of Bidigare and Brown are adapted to construct an anti-homomorphism from the $S_n$-invariant subalgebra of the semigroup algebra of ${\cal F}_n^G$ into the group algebra of $G\wr S_n$. The colored descent algebras of Mantaci and Reutenauer are obtained as homomorphic images when $G$ is abelian.
TANMEI/EMB2757 Encodes a WD Repeat Protein Required for Embryo Development in Arabidopsis1

We identified the Arabidopsis (Arabidopsis thaliana) tanmei/emb2757 (tan) mutation that causes defects in both embryo and seedling development. tan mutant embryos share many characteristics with the leafy cotyledon (lec) class of mutants in that they accumulate anthocyanin, are intolerant of desiccation, form trichomes on cotyledons, and have reduced accumulation of storage proteins and lipids. Thus, TAN functions both in the early and late phases of embryo development. Moreover, the TAN and LEC genes interact synergistically, suggesting that they do not act in series in the same genetic pathway but, rather, that they have overlapping roles during embryogenesis. tan mutants die as embryos, but immature mutant seeds can be germinated in culture. However, tan mutant seedlings are defective in shoot and root development, their hypocotyls fail to elongate in the dark, and they die as seedlings. We isolated the TAN gene and showed that the predicted polypeptide has seven WD repeat motifs, suggesting that TAN forms complexes with other proteins. Together, these results suggest that TAN interacts with other proteins to control many aspects of embryo development.
Hemodynamic Determinants of Prognosis of Aortic Valve Replacement in Critical Aortic Stenosis and Advanced Congestive Heart Failure

SUMMARYFourteen patients with critical aortic stenosis (valve area ⩽ 0.4 cm2/m2), a history of advanced congestive heart failure, left ventricular ejection fraction less than 0.45 (mean 0.28 ± 0.03) and no other valvular lesions or obstructive coronary artery disease were studied to assess prognosis with aortic valve replacement. Eleven of 14 (79%) survived surgery; 10 of these 11 showed major clinical improvement postoperatively and form group 1. The three patients who died and the patient who did not improve form group 2. Although group 2 had higher preoperative values for aortic valve area and left ventricular end-diastolic volume and lower ejection fraction and cardiac output than group 1, none of these factors alone reliably predicted outcome. The mean systolic gradient was an important predictor of outcome: No patient with a mean systolic gradient ± 30 mm Hg had a good outcome, irrespective of valve area or other hemodynamic variables. Ejection fraction was plotted against left ventricular wall stress for both groups. For group 1, there was a close linear relation that could be extrapolated back to normal wall stress and normal ejection fraction. This suggested afterload mismatch as a major cause for this group's depressed ejection fraction. In group 2 ejectionf raction was lower for any given wall stress, suggesting depressed contractility, rather than afterload mismatch, as the cause of the left ventricular dysfunction. Thus, either afterload mismatch or depressed contractility may result in depressed ejection fraction in patients with aortic stenosis; which one predominates may have major prognostic importance.
Arrhythmia and Sudden Death in Hemodialysis Patients: Protocol and Baseline Characteristics of the Monitoring in Dialysis Study.

BACKGROUND Dialysis patients have high rates of cardiovascular morbidity and mortality, but data on arrhythmia burden, arrhythmia type, arrhythmia triggers, and the identity of terminal arrhythmias have historically been limited by an inability to monitor heart rhythm for prolonged periods. OBJECTIVES To investigate arrhythmia and its association with sudden death in dialysis-dependent ESRD, describe the potential for implantable devices to advance study of dialysis physiology, review the ethical implications of using implantable devices in clinical studies, and report on the protocol and baseline results of the Monitoring in Dialysis Study (MiD). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS In this multicenter, interventional-observational, prospective cohort study, we placed implantable loop recorders in patients undergoing long-term hemodialysis. The proportion of patients experiencing clinically significant arrhythmias was the primary endpoint. For 6 months, we captured detailed data on the primary endpoint, symptomatic arrhythmias, other electrocardiographic variables, dialysis prescription, electrolytes, dialysis-related variables, and vital signs. We collected additional electrocardiographic data for up to 1 year. RESULTS Overall, 66 patients underwent implantation in sites in the United States and India. Diabetes was present in 63.6% of patients, 12.1% were age ≥70 years, 69.7% were men, and 53.0% were black. Primary and secondary endpoint data are expected in 2016. CONCLUSIONS Cardiac arrhythmia is an important contributor to cardiovascular morbidity and mortality in dialysis patients, but available technology has previously limited the ability to estimate its true burden and triggers and to define terminal rhythms in sudden death. Use of implantable technology in observational studies raises complex issues but may greatly expand understanding of dialysis physiology. The use of implantable loop recorders in MiD is among the first examples of such a trial, and the results are expected to provide novel insights into the nature of arrhythmia in hemodialysis patients.
Computational Pool: A New Challenge for Game Theory Pragmatics

Computational pool is a relatively recent entrant into the group of games played by computer agents. It features a unique combination of properties that distinguish it from oth- ers such games, including continuous action and state spaces, uncertainty in execution, a unique turn-taking structure, and of course an adversarial nature. This article discusses some of the work done to date, focusing on the software side of the pool-playing problem. We discuss in some depth CueCard, the program that won the 2008 computational pool tournament. Research questions and ideas spawned by work on this problem are also discussed. We close by announcing the 2011 computational pool tournament, which will take place in conjunction with the Twenty-Fifth AAAI Conference.
Direct x-ray detection with conjugated polymer devices

The authors report the first direct detection of x-ray induced photocurrents in thick films (up to 20μm) of conjugated polymers. Schottky-based “sandwich” structures were fabricated from layers of either poly[1-methoxy-4-(2-ethylhexyloxy)-phenylenevinylene] (MEH-PPV) or poly(9,9-dioctylfluorene) (PFO) on indium tin oxide substrates using a top contact of aluminum. Good rectification was achieved from the Al-polymer contact, with a reverse bias leakage current density as low as 4nA∕cm2 at an electric field strength of 25kV∕cm. Irradiation with x-rays from a 50kV x-ray tube produced a linear increase in photocurrent over a dose rate range from 4to18mGy∕s. The observed x-ray sensitivities of 240nC∕mGy∕cm3 for MEH-PPV and 480nC∕mGy∕cm3 for PFO structures are comparable to that reported for Si devices. A response time of <150ms to pulsed x-ray irradiation was measured with no evidence of long-lived current transients. Conjugated polymers offer the advantage of easy coatability over large areas and on curved su.
Membrane Filtration: A Problem Solving Approach with MATLAB

1. Introduction to membrane filtration of liquids 2. Dead-end filtration 3. Crossflow microfiltration 4. Ultrafiltration flux theories 5. Ultrafiltration process analysis and design at the limiting flux 6. Diafiltration at the limiting flux 7. Ultrafiltration and diafiltration with incomplete rejection 8. The osmotic pressure model applied to ultrafiltration and diafiltration 9. Reverse osmosis and nanofiltration 10. Membrane fouling 11. Appendix: mathematical and computational background.
Cancer esearch cular and Cellular Pathobiology regulation of the Mitogen Granulin in Human Cancer R ugh the miR-15 / 107 microRNA Gene Group

Downlo nulin (GRN) is a potent mitogen and growth factor implicated in many human cancers, but its regulapoorly understood. Recent findings indicate that GRN is regulated strongly by the microRNA miR-107, functionally overlaps with miR-15, miR-16, and miR-195 due to a common 5′ sequence critical for target city. In this study, we queried whether miR-107 and paralogs regulated GRN in human cancers. In cultured nti-argonaute RNA coimmunoprecipitation with downstream microarray analyses indicates that GRN is directly targeted by numerous miR-15/107 miRNAs. We further tested this association in human tumors. 5 and miR-16 are known to be downregulated in chronic lymphocytic leukemia (CLL). Using pre-existing array datasets, we found that GRN expression is higher in CLL relative to nonneoplastic lymphocytes . 00001). By contrast, other prospective miR-15/miR-16 targets in the dataset (BCL-2 and cyclin D1) were regulated in CLL. Unlike in CLL, GRN was not upregulated in chronic myelogenous leukemia (CML) where 7 paralogs are not known to be dysregulated. Prior studies have shown that GRN is also upregulated, and 7 downregulated, in prostate carcinoma. Our results indicate that multiple members of the miR-107 gene indeed repress GRN protein levels when transfected into prostate cancer cells. At least a dozen distinct types er have the pattern of increased GRN and decreasedmiR-107 expression. These findings indicate for the first of canc time that the mitogen and growth factor GRN is dysregulated via the miR-15/107 gene group in multiple human cancers, which may provide a potential common therapeutic target. Cancer Res; 70(22); 9137–42. ©2010 AACR.
MLaaS: A Cloud System for Mobile Micro Learning in MOOC

Mobile learning in massive open online course (MOOC) differs evidently from its traditional ways as it relies more on collaboration and becomes fragmented. We introduce a cloud-based system which can organize learners into a better teamwork context and customize micro learning resources in order to meet personal demands in real time. Particularly, a smart micro learning environment can be built by a newly designed SaaS, in which educational data mining techniques are mainly employed to understand learners' behaviors and recognize learning resource features.
Phase control and measurement in digital microscopy

The ongoing merger of the digital and optical components of the modern microscope is creating opportunities for new measurement techniques, along with new challenges for optical modelling. This thesis investigates several such opportunities and challenges which are particularly relevant to biomedical imaging. Fourier optics is used throughout the thesis as the underlying conceptual model, with a particular emphasis on three–dimensional Fourier optics. A new challenge for optical modelling provided by digital microscopy is the relaxation of traditional symmetry constraints on optical design. An extension of optical transfer function theory to deal with arbitrary lens pupil functions is presented in this thesis. This is used to chart the 3D vectorial structure of the spatial frequency spectrum of the intensity in the focal region of a high aperture lens when illuminated by linearly polarised beam. Wavefront coding has been used successfully in paraxial imaging systems to extend the depth of field. This is achieved by controlling the pupil phase with a cubic phase mask, and thereby balancing optical behaviour with digital processing. In this thesis I present a high aperture vectorial model for focusing with a cubic phase mask, and compare it with results calculated using the paraxial approximation. The effect of a refractive index change is also explored. High aperture measurements of the point spread function are reported, along with experimental confirmation of high aperture extended depth of field imaging of a biological specimen. Differential interference contrast is a popular method for imaging phase changes in otherwise transparent biological specimens. In this thesis I report on a new isotropic algorithm for retrieving the phase from differential interference contrast images of the phase gradient, using phase shifting, two directions of shear, and non–iterative Fourier phase integration incorporating a modified spiral phase transform. This method does not assume that the specimen has a constant amplitude. A simulation is presented which demonstrates good agreement between the retrieved phase and the phase of the simulated object, with excellent immunity to imaging noise.
Inhibition of ESCRT-II–CHMP6 interactions impedes cytokinetic abscission and leads to cell death

Mammalian cell abscission was recently shown to be driven by the ESCRT machinery, but the mechanism has not been fully resolved. This work identifies the ESCRT components ESCRT-II and CHMP6 as essential components of ESCRT-mediated abscission and introduces a new approach for inhibition of abscission using the first 52 amino acids of CHMP6.
Learning Pose Dictionary for Human Action Recognition

We proposed a framework for human action recognition by learning pose dictionary as the human appearance representation. At first, the shape based pose feature is constructed based on the contour points of the human silhouette and invariant to translation and scaling. After the local pose features are extracted from the original videos, the class-specific dictionaries are learned individually on the training frames of each class. Then the whole pose dictionary is built by concatenating all class-specific dictionaries and the sparse representation by the learned pose dictionary is estimated for every frame in the test video. Finally the test video is allocated with the class with respect to the minimum reconstruction errors of its all frames. Experimental results on Weizmann and MuHAVi-MAS14 dataset demonstrate the effectiveness of our method.
Adaptive flocking control for dynamic target tracking in mobile sensor networks

Target tracking is an important task in sensor networks, especially in mobile sensor networks. Flocking control is used to control a mobile sensor network to track a target. However, there are some existing problems in this control method, such as network fragmentation, loss of formation and poor tracking performance. In order to handle these problems we propose a novel approach to flocking control of a mobile sensor network to track a moving target within changing environments. In our approach, each agent can cooperatively learn the network's parameters to decide the size of network in a decentralized fashion so that the connectivity, formation and tracking performance can be improved when avoiding obstacles. In addition, to demonstrate the benefit of our approach a comparison between this approach and the existing method is given. Computer simulations are performed to demonstrate the effectiveness of the proposed approach.
Pathological criteria and practical issues in papillary lesions of the breast – a review

Papillary lesions of the breast include a broad spectrum of lesions, ranging from benign papilloma, papilloma with atypical ductal hyperplasia (ADH) or ductal carcinoma in situ (DCIS) to papillary carcinoma. The accurate diagnosis of mammary papillary lesions is a challenge for pathologists, owing to the overlapping features among these lesions. In this review, some of the diagnostic criteria of papillary lesions are discussed, with special emphasis on some key morphological features, namely fibrovascular cores, epithelial proliferation in a solid pattern, intraductal papilloma complicated by ADH or DCIS, and invasion and its mimics. The roles of immunohistochemistry, and the interpretation of myoepithelial cell markers, hormone receptors, and high molecular weight cytokeratin, are addressed. Finally, novel biomarkers and genetic aberrations in papillary lesions are summarized.
A Particle Swarm Algorithm for Multiobjective Design Optimization

Many engineering design problems are characterized by presence of several conflicting objectives. This requires efficient search of the feasible design region for optimal solutions which simultaneously satisfy multiple design objectives. The search is further complicated in view of the fact that because of inherent manufacturing variations it is often necessary to allocate tolerances to design variables while guaranteeing low variances for product/process performance measures. Particle swarm optimization (PSO) is a powerful search technique with faster convergence rates than traditional evolutionary algorithms. This paper introduces a new PSO-based approach to multiobjective engineering design by incorporating the central quality-control notion of tolerance design. Unlike classical optimization techniques which rely on single-point representation of designs, the modified PSO algorithm allocates tolerances to design variables and flies a swarm of hypercubic particles through the feasible space. To demonstrate the utility of the proposed method, the multiobjective design of an I-beam is presented
Analysis of TP 53 Polymorphisms in North Indian Sporadic Esophageal Cancer Patients

Among human cancers, esophageal cancer (EC) appears to be a complex multistep process with multifunctional etiologies in which environmental, geographical and genetic factors have been attributed to play critical roles in the development of cancer (Tsigris et al., 2007). Worldwide, EC ranks eighth in cancer incidence and sixth in cancer mortality (Ferlay et al., 2010). The geographical regions with higher risk of esophageal cancer, which extend from Turkey through countries such as Iran, Mongolia, Kazakhstan and the Taihang mountain range in North-central China are collectively called “Asian esophageal cancer belt” (Mao et al., 2011). The estimated number of esophageal cancer cases in India for the year 2015 and 2020 are 42,184 and 42,513 respectively (Takiar et al., 2010). In India, high incidence of esophageal cancer has been reported in states of Jammu and Kashmir, Assam and Karnataka (Ali et al., 2011). Genetic variants in genes controlling DNA repair and
Poly(3-hydroxybutyrate)/ZnO Bionanocomposites with Improved Mechanical, Barrier and Antibacterial Properties

Poly(3-hydroxybutyrate) (PHB)-based bionanocomposites incorporating different contents of ZnO nanoparticles were prepared via solution casting technique. The nanoparticles were dispersed within the biopolymer without the need for surfactants or coupling agents. The morphology, thermal, mechanical, barrier, migration and antibacterial properties of the nanocomposites were investigated. The nanoparticles acted as nucleating agents, increasing the crystallization temperature and the degree of crystallinity of the matrix, and as mass transport barriers, hindering the diffusion of volatiles generated during the decomposition process, leading to higher thermal stability. The Young’s modulus, tensile and impact strength of the biopolymer were enhanced by up to 43%, 32% and 26%, respectively, due to the strong matrix-nanofiller interfacial adhesion attained via hydrogen bonding interactions, as revealed by the FT-IR spectra. Moreover, the nanocomposites exhibited reduced water uptake and superior gas and vapour barrier properties compared to neat PHB. They also showed antibacterial activity against both Gram-positive and Gram-negative bacteria, which was progressively improved upon increasing ZnO concentration. The migration levels of PHB/ZnO composites in both non-polar and polar simulants decreased with increasing nanoparticle content, and were well below the current legislative limits for food packaging materials. These biodegradable nanocomposites show great potential as an alternative to synthetic plastic packaging materials especially for use in food and beverage containers and disposable applications.