Miracle-dz/UniFAR-FTUs huggingface dataset:
Image-based 3D Reconstruction of Generalized Box with User Sketches

d modeling is one of the key problems in computer graphics. Creating 3d models of real world objects is among tasks of 3d modeling problem. One of the approaches to solving it is using images of the object of interest. Images are the most natural and easy to obtain source of information about real-world 3d object. So lots of research is focused on image-based 3d modeling. We propose an algorithm for reconstructing 3d model of object with a specific shape from a sequence of calibrated images with user interaction. The shape of the object is called "generalized box" and describes objects with hexahedron shape, which edges are polylines or curves and faces are curved surfaces. The class of objects described as generalized box is rather wide. It includes technical equipment, machinery or their parts, architectural buildings, a host of common everyday objects. User outlines some edges on several images with known camera calibration. First 3d edges, corresponding to their outlined projections, are reconstructed. Then missing 3d edges are obtained from known 3d edges. At last curved surface is constructed for each face of the model. After 3d model is constructed, the texture is extracted from input images.
Biogenic production of Gold and Silver Nanoparticles using extracts from indigenous Australian plants: Their synthesis, optimisation, characterisation and antibacterial activities

Today, the primary focus of nanotechnology is the creation of nanometre scale materials, techniques and applications. The main driver for this intense nanotechnologybased research is the unique material properties that occur at the nanometre scale which are significantly different to those at the bulk scale. Importantly, because of their size nanoparticles can act as bridge between bulk materials and molecular structures. Therefore, an important aspect of nanotechnology is the synthesis of nanoparticles of different compositions and the ability to directly control particle parameters such as size, shape and size distribution. Since the material composition and related material parameters will ultimately determine the overall properties of the nanoparticles. Furthermore, there is also a need to develop reliable, sustainable and eco-friendly protocols for manufacturing nanoparticles. In recent years there has been a convergence between biological based technologies, green chemistry and nanotechnology. This convergence has the potential to produce clean technologies that can significantly reduce environmental and human health risks resulting from toxic chemicals and solvents generally used in conventional nanoparticle manufacturing processes. The biogenic synthesis of nanoparticles via plant extracts has the potential to significantly reduce or eliminate the use of hazardous substances. Worldwide, alternative eco-friendly green chemistry based techniques for biosynthesising metal nanoparticles using various plant species has been actively investigated in recent years. However, finding suitable plant species and developing effective protocols to biosynthesis metal nanoparticles with predetermined physiochemical properties still remains a challenge. Taking up the challenge, this thesis for the first time examines the biogenic properties of three indigenous Australian plant species to produce (Au) gold and (Ag) silver nanoparticles. Plant species studied were Eucalyptus macrocarpa (rose of the west), Xanthorrhoea glauca (grass tree) and Anigozanthos manglesii (red and green kangaroo paw). The thesis is composed of five case studies that deal with the discovery, biosynthesis optimisation & particle characterisation, and identification of Ag nanoparticle/plant antimicrobial properties. The studies reveal all three plant species were effective bio-factories capable of manufacturing of Ag and Au nanoparticles. Subsequent antimicrobial studies using Ag nanoparticles biosynthesised using Xanthorrhoea glauca and Anigozanthos manglesii were found to be effective agents against bacterial pathogens such as Deinococcus, Escherichia coli and Staphylococcus Epidermis. The research for the first time has demonstrated that three indigenous Australian plant species are capable of producing nanoparticles with unique physiochemical properties and the nanoparticles have the potential to be used in antibacterial pharmaceuticals.
Clinical value of pre‐transplant minimal residual disease in childhood lymphoblastic leukaemia: the results of the French minimal residual disease‐guided protocol

Minimal residual disease (MRD) is a major predictive factor of the cure rate of acute lymphoblastic leukaemia (ALL). Haematopoietic cell transplantation is a treatment option for patients at high risk of relapse. Between 2005 and 2008, we conducted a prospective study evaluating the feasibility and efficacy of the reduction of immunosuppressive medication shortly after a non‐ex vivo T depleted myeloablative transplantation. Immunoglobulin (Ig)H/T‐cell receptor MRD 30 d before transplant could be obtained in 122 of the 133 cases of high‐risk paediatric ALL enrolled. There were no significant demographic differences except remission status (first or second complete remission) between the 95 children with MRD <10−3 and the 27 with MRD ≥10−3. Multivariate analysis identified sex match and MRD as being significantly associated with 5‐year survival. MRD ≥10−3 compromised the 5‐year cumulative incidence of relapse (43·6 vs. 16·7%). Complete remission status and stem cell source did not modify the relationship between MRD and prognosis. Thus, pre‐transplant MRD is still a major predictor of outcome for ALL. The MRD‐guided strategy resulted in survival for 72·3% of patients with MRD<10−3 and 40·4% of those with MRD ≥10−3.
Combined Pan-RAF and MEK Inhibition Overcomes Multiple Resistance Mechanisms to Selective RAF Inhibitors

RAF and MEK inhibitors are effective in BRAF-mutant melanoma but not in BRAF-mutant colorectal cancer. To gain additional insights into this difference, we performed a genome-scale pooled shRNA enhancer screen in a BRAF-mutant, RAF inhibitor–resistant colorectal cancer cell line exposed to the selective RAF inhibitor PLX4720. We identified multiple genes along the receptor tyrosine kinase (RTK)/mitogen-activated protein kinase (MAPK) signaling axis that, when suppressed, either genetically or pharmacologically, sensitized cells to the selective RAF inhibitor through sustained inhibition of MAPK signaling. Strikingly, CRAF was a key mediator of resistance that could be overcome by the use of pan-RAF inhibitors in combination with a MEK inhibitor. Furthermore, the combination of pan-RAF and MEK inhibitors displayed strong synergy in melanoma and colorectal cancer cell lines with RAS-activating events such as RTK activation, KRAS mutation, or NF1 loss-of-function mutations. Combinations of selective RAF inhibitors, such as PLX4720 or dabrafenib, with MEK inhibitors did not incur such profound synergy, suggesting that inhibition of CRAF by pan-RAF inhibitors plays a key role in determining cellular response. Importantly, in contrast to the modest activity seen with single-agent treatment, dual pan-RAF and MEK inhibition results in the induction of apoptosis, greatly enhancing efficacy. Notably, combined pan-RAF and MEK inhibition can overcome intrinsic and acquired resistance to single-agent RAF/MEK inhibition, supporting dual pan-RAF and MEK inhibition as a novel therapeutic strategy for BRAF- and KRAS-mutant cancers. Mol Cancer Ther; 14(12); 2700–11. ©2015 AACR.
A physical principle of gait generation and its stabilization derived from mechanism of fixed point

Passive walker with knees can walk down shallow slope in a natural gait and can exhibit a stable limit cycle. Though the passive walker is mechanically simple, it is a sort of hybrid system that combines the continuous dynamics of leg-swing motion and the discrete event of leg-exchange. In this paper, we focus on the mechanism of fixed point. We demonstrate a physical principle of gait generation and its stabilization derived from the mechanism of fixed point. Based on the principle, we made a simple improvement on passive walker with knees. The passive walker could have high stability, and could walk on treadmill for 4010 steps
Effect of Ischemia on Adenine Nucleotides in Cardiac and Skeletal Muscle

Rabbit skeletal muscle contains 56% more ATP and 225% more creatine phosphate than rabbit cardiac muscle. With ischemia the per cent reduction in ATP and creatine phosphate is less in skeletal than cardiac muscle and ADP and AMP decrease in skeletal and increase in cardiac muscle, IMP is present in skeletal muscle and increases with ischemia, whereas it is absent in cardiac muscle but appears with ischemia. Adenosine, inosine, and hypoxanthine are absent in skeletal and cardiac muscle. Ischemia results in the appearance of adenosine, inosine, and hypoxanthine in cardiac muscle but only the latter two compounds appear in ischemic skeletal muscle. Although complete ischemia is required to demonstrate the presence of adenosine in cardiac muscle, the appearance of this nucleoside is nevertheless consistent with the hypothesis that under physiological conditions quantities of adenosine, undetectable by present methods, may play a role in the regulation of coronary blood flow.
Cardiometabolic Plasticity in Response to a Short-Term Diet and Exercise Intervention in Young Hispanic and NonHispanic White Adults

Background Young adult Mexican Americans (MA) exhibit lower insulin sensitivity (Si) than nonHispanic whites (NHW), even when controlling for fitness and adiposity. It is unclear if MA are as responsive to the same lifestyle intervention as NHW. Objective We developed a model to examine cardiometabolic plasticity (i.e., changes in Si and plasma lipids) in MA compared to NHW adults in response to a diet-exercise intervention. Design Sedentary subjects (20 NHW: 11F, 9M, 23.0 y, 25.5 kg/m2; 17 MA: 13F, 4M, 22.7 y, 25.4 kg/m2) consumed their habitual diets and remained sedentary for 7 days, after which fasting blood samples were obtained, and a 3-h intravenous glucose tolerance test (IVGTT) was performed with the insulin area under the curve (IAUC) used to estimate Si. Subjects then completed a 7-day diet/exercise intervention (diet: low saturated fat, low added sugar, high fiber; exercise: cycling, six total sessions lasting 40–45 min/session at 65% VO2 max). Pre-intervention tests were repeated. Results Pre intervention IAUC was 28% higher (p<0.05) in MA (IAUC pre = 2298 µU*180 min/mL) than in NHW (IAUC = 1795 µU*180 min/mL). Following the intervention, there was a significant reduction in IAUC in MA (29%) and NHW (32%), however, the IAUC remained higher (p<0.05) for MA (post = 1635 µU*180 min/mL) than for NHW (post = 1211 µU*180 min/mL). Pre test plasma lipids were not different in MA compared to NHW. Plasma cholesterol and TG concentrations significantly improved in both groups, but concentrations of low density lipoprotein-cholesterol and small dense LDL particles significantly improved only in the NHW. Conclusion With a short-term diet-exercise intervention, the magnitude of improvements in Si and serum cholesterol and TG in Hispanics are similar to those in NHW. However, because at the outset MA were less insulin sensitive compared to NHW, within the short timeframe studied the ethnic gap in insulin sensitivity remained.
Integrating behavioural and performance analysis with topology information

We consider /spl pi/-calculus, a model of concurrent processes based on the notion of naming, extended with probabilistic information. The new language is an evolution of CSP-like stochastic process algebra which we call stochastic /spl pi/-calculus. Furthermore, we integrate the semantic description of the language with topology information expressed through axioms. The new formalism is suitable for studying behavioural and performance properties of distributed systems. In particular we can compare different allocations of systems on a fixed network architecture with respect to expected performance.
Analyzing Dialog Coherence Using Transition Patterns in Lexical and Semantic Features

In this paper, we present methods to analyze dialog coherence that help us to automatically distinguish between coherent and incoherent conversations. We build a machine learning classifier using local transition patterns that span over adjacent dialog turns and encode lexical as well as semantic information in dialogs. We evaluate our algorithm on the Switchboard dialog corpus by treating original Switchboard dialogs as our coherent (positive) examples. Incoherent (negative) examples are created by randomly shuffling turns from these Switchboard dialogs. Results are very promising with the accuracy of 89% (over 50% baseline) when incoherent dialogs show both random order as well as random content (topics), and 68% when incoherent dialogs are random ordered but on-topic. We also present experiments on a newspaper text corpus and compare our findings on the two datasets. Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Enhancing correlation electromagnetic attack using planar near-field cartography

In the field of the Side Channel Analysis (SCA), the electromagnetic radiation of a cryptographic device is the richest source of information. Indeed, it permits to be more accurate by positioning smartly the EM probe near a given logic, filtering the signal that is not useful regarding a given attack. But this advantage can become easily a drawback if the attacker is unable to position her probe onto the device. Our contribution consists in giving an accurate method detecting an hot spot onto the device, i.e. the position where a correlation electromagnetic attack (CEMA) should be the most successful. This strategy is based on an indicator evaluated during a cartography. Its performance has been tested on an hardware AES implemented on an Altera Stratix II.
Robust H∞ Control for Uncertain Two-Dimensional Discrete Systems Described by the General Model via Output Feedback Controllers

This paper considers the problem of robust H ∞ control for uncertain 2-D discrete systems in the General Model via output feedback controllers. The parameter uncertainty is assumed to be norm-bounded. The purpose is the design of output feedback controllers such that the closed-loop system is stable while satisfying a prescribed H ∞ performance level. In terms of a linear matrix inequality, a sufficient condition for the solvability of the problem is obtained, and an explicit expression of desired output feedback controllers is given. An example is provided to demonstrate the application of the proposed method.
Ballistic motion planning

This paper addresses the motion planning problem of a jumping point-robot. Each jump consists in a ballistic motion linking two positions in contact with obstacle surfaces. A solution path is thus a sequence of parabola arcs. The originality of the approach is to consider non-sliding constraints at contact points: slipping avoidance is handled by constraining takeoff and landing velocity vectors to 3D friction cones. Furthermore the magnitude of these velocities is bounded. The ballistic motion lying in a vertical plane, we transform the 3D problem into a 2D one. We then solve the motion equations. The solution gives rise to an exact steering method computing a jump path between two contact points while respecting all constraints. The method is integrated into a standard probabilistic roadmap planner. Probabilistic completeness is proven. Simulations illustrate the performance of the approach.
Predictive Value of Repeated SystolicBlood Pressure Measurements for Stroke Risk: The Zutphen Study

Background and Purpose The strength of the association between blood pressure and stroke incidence is dependent on the number of blood pressure measurements. Different summary variables of repeated blood pressure measurements taken during 10 years were evaluated in relation to the long-term risk of stroke in the Zutphen Study. Methods During the period 1960–1970 repeated blood pressure measures were taken yearly in 603 men aged 50–69 years in 1970 in the town of Zutphen, The Netherlands. The individual average systolic blood pressure between 1960 and 1970, the predicted systolic blood pressure for 1970 (based on regression of blood pressure readings on time), and the single observed systolic blood pressure in 1970 were used as systolic blood pressure estimates. Their strength in predicting the 15-year stroke incidence was assessed using Cox proportional hazards models. Adjustment was made for the confounding effects of age, cigarette smoking, and serum total cholesterol. Results The average systolic blood pressure between 1960 and 1970 was the strongest predictor of 15-year stroke incidence. The strength of the association was underestimated by 55%; when a casual systolic blood pressure measurement was used instead of 11 yearly measurements. Conclusions It can be concluded that a casual blood pressure measurement leads to a substantial underestimation of the long-term stroke risk of an individual.
Person identification using automatic integration of speech, lip, and face experts

This paper presents a multi-expert person identification system based on the integration of three separate systems employing audio features, static face images and lip motion features respectively. Audio person identification was carried out using a text dependent Hidden Markov Model methodology. Modeling of the lip motion was carried out using Gaussian probability density functions. The static image based identification was carried out using the FaceIt system. Experiments were conducted with 251 subjects from the XM2VTS audio-visual database. Late integration using automatic weights was employed to combine the three experts. The integration strategy adapts automatically to the audio noise conditions. It was found that the integration of the three experts improved the person identification accuracies for both clean and noisy audio conditions compared with the audio only case. For audio, FaceIt, lip motion, and tri-expert identification, maximum accuracies achieved were 98%, 93.22%, 86.37% and 100% respectively. Maximum bi-expert integration of the two visual experts achieved an identification accuracy of 96.8% which is comparable to the best audio accuracy of 98%.
Activation of cerebellar climbing fibers increases cerebellar blood flow: role of glutamate receptors, nitric oxide, and cGMP.

BACKGROUND The mechanisms regulating the cerebellar microcirculation during neural activity are poorly understood. One of the major neural inputs to the cerebellar cortex is the climbing fiber (CF), a pathway that uses excitatory amino acids, including glutamate, as a transmitter. We studied whether CF activation increases cerebellar blood flow (BFcrb) and, if so, we investigated the role of glutamate receptors, nitric oxide (NO) and cGMP, in the response. METHODS The CF were activated by harmaline administration (40 mg/kg, i.p.) in halothane-anesthetized rats with a cranial window placed over the cerebellar vermis. BFcrb was monitored by a laser-Doppler probe, and arterial pressure and blood gases were controlled. RESULTS With Ringer superfusion, harmaline produced sustained increases in BFcrb that peaked 20 minutes after administration (+115 +/- 13%; n=6; P<.05). The increases in BFcrb were substantially reduced by superfusion with tetrodotoxin (10 micromol/L; -91 +/- 5%; n=5; P<.05 from Ringer). The response was also attenuated by the alpha-amino-3-hydroxy-5-methylisoxazole-4-propionic acid (AMPA) receptor inhibitor 2,3-dihydroxy-6-nitro-7-sulfamoyl-benzo-(F)-quinoxaline (100 micromol/L; -70 +/- 6%; P<.05; n=5), but not by the N-methyl-D-aspartate receptor blocker 2-amino-5-phosphonopentanoic acid (500 micromol/L; P>.05; n=5). The response was attenuated by the nonselective NO synthase (NOS) inhibitor nitro-L-arginine (1 mmol/L; -73 +/- 5%; n=6) or by 7-NI (50 mg, i.p.; -71 +/- 5%; n=5), a relatively selective neuronal NOS inhibitor. The soluble guanylyl cyclase inhibitor 1H-1,2,4oxadiazolo[4,3-a]quinoxalin-1-one (100 micromol/L) attenuated the response to harmaline (-73 +/- 5; P<.05; n=6) but not to superfusion with adenosine (P>.05; n=5) or 8-bromo-cGMP (P>.05; n=5). CONCLUSIONS Activation of the CF system increases BFcrb. The response depends on activation of glutamate receptors and is in large part mediated by NO via stimulation of soluble guanylyl cyclase. Glutamate receptors NO and cGMP are important factors in the mechanisms of functional hyperemia in cerebellar cortex.
Mixed effect of main electrospinning parameters on the β-phase crystallinity of electrospun PVDF nanofibers

Electrospun polyvinylidene fluoride (PVDF) nanofiber has shown its advantages of producing piezoelectric devices. Although the effect of electrospinning parameters on the formation of β crystalline phase has been investigated, their mixed effect has not been fully understood. In this study, two dependent design of experiments were utilized to systematically control the transformation of crystalline phases by three typical electrospinning parameters, i.e. applied voltage, needle tip diameter and feeding flow rate, and the mixed interaction of these parameters in improving the fraction of β crystalline phase was investigated. The structures and the contents of crystalline phases within PVDF nanofibers were analyzed by Fourier transform infrared spectra and x-ray diffraction patterns. The results of single factorial experiments showed that all of three electrospinning parameters have a significant effect on the formation and fraction of β-phase crystallinity of electrospun PVDF nanofibers. Furthermore, both the fraction and the crystallinity of β phase initially increase and then decrease with an increase of applied voltage, and consistently decrease with the needle-tip diameter. However, the β-phase fraction parabolically increases with the increasing feeding flow rates, whereas its crystallinity linearly deceases. The orthogonal experimental results demonstrated that the mixed effect of three electrospinning parameters is different from that of single parameter on the fraction of β-phase crystalline, and that the feeding flow rates among three parameters have the greatest effect. Taken together, these results suggested a new strategy to improve the β-phase fraction of electrospun PVDF fibers via sequence of priority of electrospinning parameters.
Fast and stable human detection using multiple classifiers based on subtraction stereo with HOG features

In this paper, we propose a fast and stable human detection based on “subtraction stereo” which can measure distance information of foreground regions. Scanning an input image by detection windows is controlled in their window sizes and number using the distance information obtained from subtraction stereo. This control can skip a large number of detection windows and leads to reduce the computational time and false detection for fast and stable human detection. Additionally, we propose two-step boosting as a new training way of classifier with whole and upper human body models. Experimental results show that the proposal is faster and less false detection than the method described in the reference [1].