Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic 3 D Modeling of Unstructured Scenes Ph

Many computer vision and robotics applications call for accurate three-dimensional (3D) models of real-world objects. Current 3D modeling techniques require significant manual assistance or make assumptions about the scene characteristics or data collection procedure. In this thesis work, we propose to fully automate the 3D modeling process without resorting to these restrictive assumptions. Given a set of unordered range images and no additional a priori information about the scene, our system will generate an accurate 3D reconstruction. Specifically, it is not necessary to know the relative pose between viewpoints or to indicate which views contain overlapping scene regions. Our proposed automatic modeling system selects pairs of views that are likely to match and attempts to register them. The results are verified for consistency, but some incorrect matches may be locally undetectable and some correct matches may be missed. One of several discrete optimization techniques is employed to combine these potentially faulty pair-wise matches into a network of views called the model graph. Incorrect pair-wise matches are detected by the inconsistencies they produce elsewhere in the model graph, while missed matches are recovered by inferring new links in the graph between overlapping views. The overall model quality is improved by simultaneously registering all views before they are integrated together to form the final model. We demonstrate the utility of automatic modeling with an application called handheld modeling, in which a 3D model is automatically created from an object held in a person’s hand.
A synthetic isoquinoline alkaloid, 1-(beta-naphthylmethyl)-6,7-dihydroxy-1,2,3,4-tetrahydroisoquinoline (YS 51), reduces inducible nitric oxide synthase expression and improves survival in a rodent model of endotoxic shock.

In the present study, the effects of 1-(beta-naphthylmethyl)-6,7-dihydroxy-1,2,3,4-tetrahydroisoquinoline (YS 51), a positional isomer of 1-(alpha-naphthylmethyl)-6,7-dihydroxy-1,2,3,4-tetrahydroisoquinoline (YS 49), on nitric oxide production and inducible nitric oxide synthase (iNOS) mRNA expression were investigated in RAW 264.7 cells, mouse monocyte macrophage, exposed to lipopolysaccharide (LPS) plus interferon (IFN)-gamma. In addition, the effects of YS 51 on vascular reactivity in vitro and ex vivo, iNOS protein expression (rat lung) and survival rate (mice), were also investigated in LPS-treated rodents. Treatment with YS 51 reduced not only nitric oxide production (IC(50), 23.5 microM), but also expression of iNOS mRNA in RAW 264.7 cells in a concentration-dependent manner. Incubation of rat endothelium-denuded thoracic aorta with LPS (300 ng/ml) for 8 h in vitro resulted in suppression of vasoconstrictor effects to phenylephrine, which was restored by coincubation with YS 51. Treatment with YS 51 before (30 min) injection of LPS resulted in significant reduction of the expression of iNOS protein in rat lung tissue and restored the vascular contractility to 9,11-dideoxy-11alpha,9alpha-epoxymethanoprostaglandin F(2alpha) (U46619), ex vivo. The plasma concentration of nitrite/nitrate (NOx) level was significantly (p < 0.01) reduced by YS 51 (10 and 20 mg/kg, i.p) in LPS-treated (10 mg/kg, i.p) rats. Furthermore, YS 51 significantly increased the survival rate in LPS-injected mice. In RAW 264.7 cells, YS 51 inhibited the formation of nuclear factor-kappaB-DNA complex and iNOS promoter activity in a concentration-dependent manner, indicating that iNOS gene expression was modified transcriptionally by YS 51. These data strongly suggest that YS 51, a positional isomer of YS 49, might be beneficial in septic shock and/or endotoxin-induced inflammatory disorders.
Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering

Word clustering is a conventional and important NLP task, and the literature has suggested two kinds of approaches to this problem. One is based on the distributional similarity and the other relies on the co-occurrence of two words in lexicosyntactic patterns. Although the two methods have been discussed separately, it is promising to combine them since they are complementary with each other. This paper proposes to integrate them using hidden Markov random fields and demonstrates its effectiveness through experiments.
A Compact Filtering Dielectric Resonator Antenna With Wide Bandwidth and High Gain

A rectangular filtering dielectric resonator antenna (FDRA) with low profile, wide bandwidth, and high gain is first investigated in this communication. It is fed by a microstrip-coupled slot from bottom, with open stub of the microstrip feedline elaborately designed to provide two radiation nulls at band edges for a filtering function. A separation is introduced in the slot to provide a good suppression level in lower stopband, while two parasitic strips are parallelly added to the microstrip feedline to offer good suppression in the upper stopband, and consequently, a compact FDRA with a quasi-elliptic bandpass response is obtained without involving specific filtering circuits. Based on the design, a modified DRA fed by a pair of separated slots is proposed to further enhance the gain by ~4 dB. A prototype operating at 5 GHz has been fabricated and measured for demonstration. The reflection coefficient, the radiation pattern, and the antenna gain are studied, and reasonable agreement between the measured and simulated results is observed. The prototype has a 10-dB impedance bandwidth of 20.3%, an average gain of 9.05 dBi within passband, and an out-of-band suppression level of more than 25 dB within a wide stopband.
A Review of the Mycotoxin Enniatin B

Mycotoxin enniatin B (ENN B) is a secondary metabolism product by Fusarium fungi. It is a well-known antibacterial, antihelmintic, antifungal, herbicidal, and insecticidal compound. It has been found as a contaminant in several food commodities, particularly in cereal grains, co-occurring also with other mycotoxins. The primary mechanism of action of ENN B is mainly due to its ionophoric characteristics, but the exact mechanism is still unclear. In the last two decades, it has been a topic of great interest since its potent mammalian cytotoxic activity was demonstrated in several mammalian cell lines. Moreover, the co-exposure in vitro with other mycotoxins enhances its toxic potential through synergic effects, depending on the concentrations tested. Despite its clear cytotoxic effect, European Food Safety Authority stated that acute exposure to ENNs, such as ENN B, does not indicate concern for human health, but a concern might be the chronic exposure. However, given the lack of relevant toxicity data, no firm conclusion could be drawn and a risk assessment was not possible. In fact, very few studies have been carried out in vivo and, in these studies, no adverse effects were observed. So, research on toxicological effects induced by ENN B is still on-going. Recently, some studies are dealing with new advances regarding ENN B. This review summarizes the information on biochemical and biological activity of ENN B, focusing on toxicological aspects and on the latest advances in research on ENN B.
Oxygen-sensitive regulatory volume increase and Na transport in red blood cells from the cane toad, Bufo marinus

SUMMARY The red blood cells (RBCs) of cane toad, Bufo marinus, are only partially saturated with oxygen in most of the circulation due to cardiac shunts that cause desaturation of arterial blood. The present study examines the oxygen dependency of RBC ouabain-insensitive unidirectional Na transport, using 22Na, in control cells and in cells exposed to hyperosmotic shrinkage or the β-adrenergic agonist isoproterenol. Deoxygenation per se induced a slow, but significant Na influx, which was paralleled by a slow increase in RBC volume. Hyperosmotic shrinkage by a calculated 25% activated a robust Na influx that in the first 30 min had a strong PO2 dependency with maximal activation at low PO2 values and a P50 of ∼5.5 kPa. This activation was completely abolished by the Na/H exchanger (NHE) inhibitor EIPA (10–4 mol l-1). Hyperosmotic shrinkage is particularly interesting in B. marinus as it withstands considerable elevation in extracellular osmolarity following dehydration. Parallel studies showed that deoxygenated B. marinus RBCs had a much faster regulatory volume increase (RVI) response than air-equilibrated RBCs, reflecting the difference in magnitude of Na influxes at the two PO2 values. The extent of RVI (∼60%) after 90 min, however, was similar under the two conditions, reflecting a more prolonged elevation of the shrinkage-induced Na influx in air-equilibrated RBCs. There were no significant differences in the ability to perform RVI between whole blood cells at a PCO2 of 1 and 3 kPa or washed RBCs, and 10–4 mol l-1 amiloride reduced the RVI under all conditions, whereas 10–5 mol l-1 bumetanide had no effect. Isoproterenol (10–5 mol l-1) induced a significant and prolonged increase in an EIPA-sensitive and bumetanide-insensitive Na influx at low PO2 under iso-osmotic conditions, whilst there was no stimulation by isoproterenol for up to 45 min in air-equilibrated RBCs. The prolonged β-adrenergic activation of the Na influx at low PO2 is distinctly different from the rapid and transient stimulation in teleost RBCs, suggesting significant differences in the signal transduction pathways leading to transporter activation between vertebrate groups.
Describing multimedia documents in natural and semantic-driven ordered hierarchies

In this work we present the ToCAI (Table of Content-Analytical Index) framework, a description scheme (DS) for content description of audio-visual (AV) documents. The idea for such a description scheme comes out from the structures used for indexing technical books (table of content and analytical index). This description scheme provides therefore a hierarchical description of the time sequential structure of a multimedia document (ToC), suitable for browsing, together with an analytical index (AI) of the key items of the document, suitable for retrieval. The AI allows to represent in an ordered way the items of the AV document which are most relevant from the semantic point of view. The ordering criteria are therefore selected according to the application context. The detailed structure of the DS is presented by means of UML notation as well and an application example is shown.
Functionally complete communities result in better ecosystem functioning: Dung removal and secondary seed dispersal by dung beetles in the Western Palaearctic

Authors: Tanja Milotić, Christophe Baltzinger, Carsten Eichberg, Amy E. Eycott, Marco Heurich, Jörg Müller, Jorge A. Noriega, Rosa Menendez, Jutta Stadler, Réka Ádám, Tessa Bargmann, Isabelle Bilger, Jörn Buse, Joaquin Calatayud, Constantin Ciubuc, Gergely Boros, Pierre Jay-Robert, Märt Kruus, Enno Merivee, Geoffrey Miessen, Anne Must, Elham Ardali, Elena Preda, Iraj Rahimi, Dirk Rohwedder, Rob Rose, Eleanor M. Slade, László Somay, Pejman Tahmasebi, Stefano Ziani and Maurice Hoffmann
Distribution of a hierarchical component in a non-connected environment

This article addresses the utilization of the component-based approach for building and executing a distributed application that can offer services over a set of heterogeneous and possibly volatile devices. We propose to rely on a hierarchical component model and present a method for distributing a component that makes the set of its interfaces available everywhere. The runtime system associated with this model allows disconnections of devices to be reflected on the architecture of the component by disabling some of its interfaces while allowing it to perform in a degraded mode.
Enlargement of the Third Ventricle in affective disorders

Introduction : There have been inconsistent reports of dilation of the third ventricle (lll-V) in bipolar disorder. Within the lateral walls of lll-V are hypothalamic nuclei which mediate the neuroendocrine, sleep, appetite and autonomic disturbances which characterise a depressive episode. Methods : The lll-V width, immediately anterior to the mamillary bodies, was measured in 74 bipolar I or II subjects (m=25, f=49, mean age 36.1(1 l.3yr) and 33 healthy controls (m= 17, f= 16, mean age 35.6( 12.6yr) from MRI coronal inversion recovery scans. Results : Bipolar subjects had significantly (t=2.l6,p=0.03) wider lll-V (0.45(0.15cm) than controls (0.40(0.12cm). Examining data with a General Linear Model with gender and diagnoses as categoric variables and age as a continuous variable, lll-V width depended significantly on gender (p=O.OI6), age (p< 0.00l) and differed significantly (p=0.03) between bipolar subjects and controls. The rate of lll-V dilation was estimated to be 0.0048cm/yr in male bipolar subjects and 0.0040cm/yr in females. Comment : Bipolar disorder is associated with increased lll-V width and progressive dilation. It is proposed that dilation may be associated with dysfunction of hypothalamic nuclei in the lll-V lateral walls.
The Reservoir model and architecture for open federated cloud computing

The emerging cloud-computing paradigm is rapidly gaining momentum as an alternative to traditional IT (information technology). However, contemporary cloud-computing offerings are primarily targeted for Web 2.0-style applications. Only recently have they begun to address the requirements of enterprise solutions, such as support for infrastructure service-level agreements. To address the challenges and deficiencies in the current state of the art, we propose a modular, extensible cloud architecture with intrinsic support for business service management and the federation of clouds. The goal is to facilitate an open, service-based online economy in which resources and services are transparently provisioned and managed across clouds on an ondemand basis at competitive costs with high-quality service. The Reservoir project is motivated by the vision of implementing an architecture that would enable providers of cloud infrastructure to dynamically partner with each other to create a seemingly infinite pool of IT resources while fully preserving their individual autonomy in making technological and business management decisions. To this end, Reservoir could leverage and extend the advantages of virtualization and embed autonomous management in the infrastructure. At the same time, the Reservoir approach aims to achieve a very ambitious goal: creating a foundation for next-generation enterprise-grade cloud computing.
Managing ethanol and sensory compounds by non-Saccharomyces yeasts

In Latin, ‘pulcherrima’ is a superlative form of an adjective that translates as beautiful. Apart from being ‘the most beautiful’ yeast, Metshnikowia pulcherrima has a great potential in production of lower-alcohol wines. In this work, we evaluated the oenological performance of six M. pulcherrima strains used in sequential cultures with Saccharomyces cerevisiae. The M. pulcherrima MP2 strain was further characterised in six sequential fermentations with different S. cerevisiae inoculation delays. The analysis of main metabolites, undertaken prior to sequential inoculations and upon fermentation completion in both Chemically Defined Grape Juice Medium (CDGJM) and white grape juice, highlighted metabolic interactions and carbon sinks other than ethanol in mixed culture fermentations. Depending on the inoculation delay, MP2 white wines contained between 0.6% and 1.2% (v/v) less ethanol than the S. cerevisiae control, with even larger decreases achieved in the CDGJM. The lower-alcohol wines also had higher concentrations of glycerol and the TCA cycle by-products (i.e. succinate and fumarate), and lower concentrations of acetic acid. The analysis of volatile compounds revealed compositional alterations arising from the S. cerevisiae inoculation delay, with increased acetate esters and higher alcohols detected in all analysed MP2 treatments.
Perbandingan 3 Faktor dan 5 Faktor Asset Pricing Model

AbstractIn the period 1993-2014 Fama and French elicited two models that can be used to calculate asset pricing, the two models are three factors and five factors asset pricing models. The purpose of this study is to compare the best models in predicting excess returns in LQ 45 companies for the period 2012-2016. The population used in this study is the company contained in the LQ 45 category during the period 2012-2016. Based on the sampling method used in this study was purposive sampling with the research criteria set by the researchers, the sample in this study amounted to as many as 20 companies. The research method used in this study is explanatory research methods. Based on tests conducted using statistical data processing applications, namely SPSS Version 24, it is known that five factors are better at explaining excess return compared to three factors when viewed from the simultaneous test and paired samples test that has been done.AbstrakDalam periode 1993-2014, Fama dan French memunculkan dua model yang dapat digunakan untuk menghitung harga aset, dua model tersebut adalah tiga faktor dan lima faktor model penetapan harga aset. Tujuan dari penelitian ini adalah untuk membandingkan model terbaik dalam memprediksi kelebihan pengembalian di perusahaan LQ 45 untuk periode 2012-2016. Populasi yang digunakan dalam penelitian ini adalah perusahaan yang terdapat dalam kategori LQ 45 selama periode 2012-2016. Berdasarkan metode pengambilan sampel yang digunakan dalam penelitian ini adalah purposive sampling dengan kriteria penelitian yang ditetapkan oleh peneliti, sampel dalam penelitian ini berjumlah sebanyak 20 perusahaan. Metode penelitian yang digunakan dalam penelitian ini adalah metode penelitian eksplanatori. Berdasarkan tes yang dilakukan menggunakan aplikasi pengolahan data statistik, yaitu SPSS Versi 24, diketahui bahwa lima faktor lebih baik dalam menjelaskan kelebihan pengembalian dibandingkan dengan tiga faktor jika dilihat dari uji simultan dan uji sampel berpasangan yang telah dilakukanKeywords: excess return; five factors; three factors.
Quantitative FDG PET/CT may help risk-stratify early-stage non-small cell lung cancer patients at risk for recurrence following anatomic resection.

Background Preoperative identification of non-small cell lung cancer (NSCLC) patients at risk for disease recurrence has proven unreliable. The extraction of quantitative metrics from imaging based on tumor intensity and texture may enhanced disease characterization. This study evaluated tumor-specific 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computerized tomography (PET/CT) uptake patterns and their association with disease recurrence in early-stage NSCLC. Methods Sixty-four stage I/II NSCLC patients who underwent anatomic resection between 2001 and 2014 were examined. Pathologically or radiographic confirmed disease recurrence within 5 years of resection comprised the study group. Quantitative imaging metrics were extracted within the primary tumor volume. Squamous cell carcinoma (SCC) (N=27) and adenocarcinoma (AC) (N=41) patients were compared using a Wilcoxon signed-rank test. Associations between imaging and clinical variables with 5-year disease-free survival (DFS) and overall survival (OS) were evaluated by Cox proportional-hazards regression. Results Clinical and pathologic characteristics were similar between recurrence (N=34) and patients achieving 5-year DFS (N=30). Standardized uptake value (SUV)max and SUVmean varied significantly by histology, with SCC demonstrating higher uptake intensity and heterogeneity patterns. Entropy-grey-level co-occurrence matrix (GLCM) was a significant univariate predictor of DFS (HR =0.72, P=0.04) and OS (HR =0.65, P=0.007) independent of histology. Texture features showed higher predictive ability for DFS in SCC than AC. Pathologic node status and staging classification were the strongest clinical predictors of DFS, independent of histology. Conclusions Several imaging metrics correlate with increased risk for disease recurrence in early-stage NSCLC. The predictive ability of imaging was strongest when patients are stratified by histology. The incorporation of 18F-FDG PET/CT texture features with preoperative risk factors and tumor characteristics may improve identification of high-risk patients.
A METHOD TO SOLVE MISSILE-AIRCRAFT PURSUIT-EVASION DIFFERENTIAL GAMES

Abstract This paper shows; that, in some conditions we can obtain the exact solution for a missile and an aircraft differential games which minimizes and maximizes the essential pay-off of the problem: the miss distance, without employing any linearized approximation. The idea of our method is, by starting from the aircraft one-sided optimal control solution against a PNG missile, which maximizes the miss distance, and then optimize the missile control to minimize the miss distance. The obtained minimax solution shows the resultant miss distance is far smaller than that of the PNG missile. Although it is impossible to obtain the solution in real time, however, if the results are incorporated into the missile guidance system as a knowledge base, the performance will be fairly improved. The extension of the study into more general cases is also explained.
Treating KRAS-mutant NSCLC: latest evidence and clinical consequences

KRAS mutations represent one of the most prevalent oncogenic driver mutations in non-small cell lung cancer (NSCLC). For many years we have unsuccessfully addressed KRAS mutation as a unique disease. The recent widespread use of comprehensive genomic profiling has identified different subgroups with prognostic implications. Moreover, recent data recognizing the distinct biology and therapeutic vulnerabilities of different KRAS subgroups have allowed us to explore different treatment approaches. Small molecules that selectively inhibit KRAS G12C or use of immune checkpoint inhibitors based on co-mutation status are some examples which anticipate that personalized treatment for this challenging disease is finally on the horizon.
Mesh Parametrization Driven by Unit Normal Flow

Based on mesh deformation, we present a unified mesh parametrization algorithm for both planar and spherical domains. Our approach can produce intermediate frames from the original meshes to the targets. We derive and define a novel geometric flow: ‘unit normal flow (UNF)’ and prove that if UNF converges, it will deform a surface to a constant mean curvature (CMC) surface, such as planes and spheres. Our method works by deforming meshes of disk topology to planes, and spherical meshes to spheres. Our algorithm is robust, efficient, simple to implement. To demonstrate the robustness and effectiveness of our method, we apply it to hundreds of models of varying complexities. Our experiments show that our algorithm can be a competing alternative approach to other state‐of‐the‐art mesh parametrization methods. The unit normal flow also suggests a potential direction for creating CMC surfaces.