Miracle-dz/UniFAR-FTUs huggingface dataset:
Sketch & Project Methods for Linear Feasibility Problems: Greedy Sampling & Momentum

We develop two greedy sampling rules for the Sketch & Project method for solving linear feasibility problems. The proposed greedy sampling rules generalize the existing max-distance sampling rule and uniform sampling rule and generate faster variants of Sketch & Project methods. We also introduce greedy capped sampling rules that improve the existing capped sampling rules. Moreover, we incorporate the so-called heavy ball momentum technique to the proposed greedy Sketch & Project method. By varying the parameters such as sampling rules, sketching vectors; we recover several well-known algorithms as special cases, including Randomized Kaczmarz (RK), Motzkin Relaxation (MR), Sampling Kaczmarz Motzkin (SKM). We also obtain several new methods such as Randomized Coordinate Descent, Sampling Coordinate Descent, Capped Coordinate Descent, etc. for solving linear feasibility problems. We provide global linear convergence results for both the basic greedy method and the greedy method with momentum. Under weaker conditions, we prove $\mathcal{O}(\frac{1}{k})$ convergence rate for the Cesaro average of sequences generated by both methods. We extend the so-called certificate of feasibility result for the proposed momentum method that generalizes several existing results. To back up the proposed theoretical results, we carry out comprehensive numerical experiments on randomly generated test instances as well as sparse real-world test instances. The proposed greedy sampling methods significantly outperform the existing sampling methods. And finally, the momentum variants designed in this work extend the computational performance of the Sketch & Project methods for all of the sampling rules.
A Tool to Extract Structured Data from GitHub

GitHub repositories consist of various detailed information about the project contributors, the number of commits and its contributors, releases, pull requests, programming languages, and issues. However, no systematic dataset of open source projects exists which features detailed information about the repositories on GitHub for knowledge acquisition and mining. In this paper, we developed tool support, named GitRepository, which helps in creating a data-set of repositories based on the proposed schema. Out of initial 1680 repositories, the dataset hosts 620 repositories (with applied basic filters of stars and forks), and 247 repositories (after applying all pre-defined filters). The tool extracts the information of GitHub repositories and saves the data in the form of CSV. files and a database (.DB) file.
Formation of Multiple-planet Systems in Resonant Chains around M Dwarfs

Recent observations have revealed the existence of multiple-planet systems composed of Earth-mass planets around late M dwarfs. Most of their orbits are close to commensurabilities, which suggests that planets were commonly trapped in resonant chains in their formation around low-mass stars. We investigate the formation of multiple-planet systems in resonant chains around low-mass stars. A time-evolution model of the multiple-planet formation via pebble accretion in the early phase of the disk evolution is constructed based on the formation model for the TRAPPIST-1 system by Ormel et al. Our simulations show that knowing the protoplanet appearance timescale is important for determining the number of planets and their trapped resonances: as the protoplanet appearance timescale increases, fewer planets are formed, which are trapped in more widely separated resonances. We find that there is a range of the protoplanet appearance timescale for forming stable multiple-planet systems in resonant chains. This range depends on the stellar mass and disk size. We suggest that the protoplanet appearance timescale is a key parameter for studying the formation of multiple-planet systems with planets in resonant chains around low-mass stars. The composition of the planets in our model is also discussed.
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep LiDAR point cloud, the accurate semantic segmentation is non-trivial to achieve. In this paper, we propose a novel sparse LiDAR point cloud semantic segmentation framework assisted by learned contextual shape priors. In practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input. By merging multiple frames in the LiDAR sequence as supervision, the optimized SSC module has learned the contextual shape priors from sequential LiDAR data, completing the sparse single sweep point cloud to the dense one. Thus, it inherently improves SS optimization through fully end-to-end training. Besides, a Point-Voxel Interaction (PVI) module is proposed to further enhance the knowledge fusion between SS and SSC tasks, i.e., promoting the interaction of incomplete local geometry of point cloud and complete voxel-wise global structure. Furthermore, the auxiliary SSC and PVI modules can be discarded during inference without extra burden for SS. Extensive experiments confirm that our JS3C-Net achieves superior performance on both SemanticKITTI and SemanticPOSS benchmarks, i.e., 4% and 3% improvement correspondingly.
Distortion element in group of diffeomorphisms of the 2-sphere

We prove that every distortion element in the group of diffeomorphisms of the 2-sphere which has some recurrent point that is not fixed is an irrational pseudo-rotation. Moreover we prove that the differential of a distortion element in the group of diffeomorphisms of the 2-sphere having at least three fixed points at a fixed point has a unique eigenvalue which is 1.
Combined Sieve Algorithm for Prime Gaps

A new Combined Sieve algorithm is presented with cost proportional to the number of enumerated factors over a series of intervals. This algorithm achieves a significant speedup, over a traditional sieve, when handling many ([10^4, 10^7]) intervals concurrently. The speedup comes from a space-time tradeoff and a novel solution to a modular equation. In real world tests, this new algorithm regularly runs 10,000x faster. This faster sieve paired with higher sieving limits eliminates more composites and accelerates the search for large prime gaps by 30-70%. During the development and testing of this new algorithm, two top-10 record merit prime gaps were discovered.
A predictive model for kidney transplant graft survival using machine learning

Kidney transplantation is the best treatment for end-stage renal failure patients. The predominant method used for kidney quality assessment is the Cox regression-based, kidney donor risk index. A machine learning method may provide improved prediction of transplant outcomes and help decision-making. A popular tree-based machine learning method, random forest, was trained and evaluated with the same data originally used to develop the risk index (70,242 observations from 1995-2005). The random forest successfully predicted an additional 2,148 transplants than the risk index with equal type II error rates of 10%. Predicted results were analyzed with follow-up survival outcomes up to 240 months after transplant using Kaplan-Meier analysis and confirmed that the random forest performed significantly better than the risk index (p<0.05). The random forest predicted significantly more successful and longer-surviving transplants than the risk index. Random forests and other machine learning models may improve transplant decisions.
Polystyrene-block-poly(2-cinnamoylethyl methacrylate) Nanospheres with Cross-Linked Shells

Polystyrene-block-poly(2-cinnamoylethyl methacrylate), PS-b-PCEMA, forms spherical micelles with PCEMA corona and PS core in THF/acetonitrile with 10%, by volume, of THF. Nanospheres with cross-linked PCEMA shells are obtained by photolyzing the sample with UV light. Despite the PCEMA corona, the degree of intermicellar fusion is low at CEMA conversions less than ∼40%. The nanospheres, with greater than ∼10% CEMA conversions, are dispersible and structurally stable in THF or toluene which solubilizes both PS and un-cross-linked PCEMA.
Reactive scattering of N++H2 and deuterated analogs: Statistical calculation of cross sections and rate coefficients

A dynamically biased statistical theory is used to calculate state specific cross sections for the nearly thermoneutral ion–molecule reaction N+(3PI)+H2( j)→NH++H. Conservation of parity and nuclear spin, and the anisotropy of the long‐range interaction potential are taken into account explicitly. The theory is used to calculate cross sections for all three 3PI states of the N+ ion and for rotationally excited hydrogen ( j=0–6). ln addition, the calculation has been performed for different electronic degeneracy factors (gs =1/3, 1/2, and 1), and for reaction endothermicities ΔH varying between 15 and 20 meV. The integral cross sections are used to determine numerically exact thermal rate coefficients. Comparison with published experimental results allows to determine gs and ΔH. The room‐temperature data lead to gs =1/2, while rate coefficients measured below 50 K are very sensitive to the threshold behavior and are best fitted with ΔH=17 meV. Some new experimental results, measured with a liquid nitrogen .
Long-time behavior of a nonautonomous stochastic predator–prey model with jumps

It is proved the existence and uniqueness of the global positive solution to the system of stochastic differential equations describing a non-autonomous stochastic predator-prey model with a modified version of Leslie-Gower and Holling-type II functional response disturbed by white noise, centered and non-centered Poisson noises. We obtain sufficient conditions of stochastic ultimate boundedness, stochastic permanence, non-persistence in the mean, weak persistence in the mean, and extinction of the solution to the considered system.
Molecular simulations on proteins of biomedical interest : A. Ligand-protein hydration B. Cytochrome P450 2D6 and 2C9 C. Myelin associated glycoprotein (MAG)

TOPIC 1: Water molecules mediating polar interactions in ligand–protein complexes contribute to both binding affinity and specificity. To account for such water molecules in computer-aided drug discovery, we performed an extensive search in the Cambridge Structural Database (CSD) to identify the geometrical criteria defining interactions of water molecules with ligand and protein. In addition, ab initio calculations were used to derive the propensity of ligand hydration. Based on these information we developed an algorithm (AcquaAlta) to reproduce water molecules bridging polar interactions between ligand and protein moieties. This approach was validated using 20 crystal structures and yielded a match of 76% between experimental and calculated water positions. The solvation algorithm was then applied to the docking of oligopeptides to the periplasmic oligopeptide binding protein A (OppA), supported by a pharmacophore-based alignment tool. TOPIC 2: Drug metabolism, toxicity, and interaction profile are major issues in the drug discovery and lead optimization processes. The Cytochromes P450 (CYPs) 2D6 and 2C9 are enzymes involved in the oxidative metabolism of a majority of the marketed drugs. By identifying the binding mode using pharmacophore pre-alignement and automated flexible docking, and quantifying the binding affinity by multi-dimensional QSAR, we validated a model family of 56 compounds (46 training, 10 test) and 85 (68 training, 17 test) for CYP2D6 and CYP2C9, respectively. The correlation with the experimental data (cross- validated r2 = 0.811 for CYP2D6 and 0.687 for CYP2C9) suggests that our approach is suited for predicting the binding affinity of compounds towards the CYP2D6 and CYP2C9. The models were challenged by Y-scrambling, and by testing an external dataset of binding compounds (15 compounds for CYP2D6 and 40 for CYP2C9) and not binding compounds (64 compounds for CYP2D6 and 56 for CYP2C9). TOPIC 3: After injury, neurites from mammalian adult central nervous systems are inhibited to regenerate by inhibitory proteins such as the myelin-associated glycoprotein (MAG). The block of MAG with potent glycomimetic antagonists could be a fruitful approach to enhance axon regeneration. Libraries of MAG antagonists were derived and synthesized starting from the (general) sialic acid moiety. The binding data were rationalized by docking studies, molecular dynamics simulations and free energy perturbations on a homology model of MAG. The pharmacokinetic profile (i.e. stability in cerebrospinal fluid, logD, and blood-brain barrier permeation) of these compounds has been thoroughly investigated to evaluate the drug-likeness of the identified antagonists.
Modélisation de la croissance des nanofils de Si et métrologie à l'échelle atomique de la composition des nanofils

Les nanofils de silicium (Si) sont des nano-objets a une dimension. Ils font l'objet de beaucoup d'interet ces dernieres annees en raison de leurs bonnes proprietes et leur grand potentiel d'applications. Pour ces applications, il est important de parfaitement controler la croissance de ces objets ainsi que leurs dopages. Dans ce contexte, l'objectif de ce travail de these est la modelisation de la croissance des nanofils de Si et la metrologie a l'echelle atomique de la composition des nanofils. Dans la premiere partie de ce travail, nous avons etudie le taux de croissance (longueur) ainsi que l'evolution de la morphologie des nanofils, en particulier l'effet d'effilage. Plusieurs modeles sont proposes selon la nature des nanofils synthetises via differentes methodes d'elaboration: Depot Chimique en phase Vapeur et Epitaxie par Jets Moleculaires. Les taux de croissance varient selon les methodes de synthese. Le modele reproduit fidelement les donnees experimentales. L'influence des conditions experimentales sur la morphologie des nanofils est egalement etudiee dans cette partie. L'objectif de la seconde partie de ce travail est la metrologie des impuretes (catalyseur et dopant) dans les nanofils de Si. Cette etude est realisee a l'aide de la technique de Sonde Atomique Tomographique (SAT). Cette technique permet une analyse a l'echelle atomique, dans l'espace reel et en trois dimensions de l'objet analyse. Des nanofils synthetises par differentes techniques telles : la gravure chimique, la methode Vapeur-Liquide-Solide (VLS) et la methode Solide-Liquide-Solide (SLS), en utilisant differents catalyseurs de croissance tels Au, In et Sn, sont etudies. La presence d'atomes des catalyseurs dans les nanofils se trouve etre un phenomene general. Un travail sur la metrologie des dopants a egalement ete realise. La concentration des dopants et leurs distributions dans les nanofils synthetise par gravure chimique est inchangee. En revanche, dans les nanofils de Si dopes via un mecanisme de croissance VLS, une structure cœur-coquille avec un cœur sous-dope et une coquille sur-dopee est observee. Ceci est retrouve quelque soit la morphologie du nanofil et la nature chimique du dopant. Un modele base sur la diffusion lateral (via la surface du nanofil) des dopants est propose afin de reproduire les profils experimentaux observes et aussi preciser une voie d'incorporation possible des dopants.
Kinetics of Bacterial Deactivation with Chlorine

A power function relating coliform bacteria deactivation to the product of the chlorine contact time, t, and the initial chlorine residual concentration, R, is applied to disinfection data procured under a wide range of operating and reaction conditions. The results indicate that the deactivation becomes independent of the operating and reaction conditions when the tR product attains a value of approx 540 min-mg/l with those residuals that are actively oxidizing, ammonia nitrogen being the most effective at lesser tR products followed closely by low pH-free residuals. A combined residual may demonstrate an initial phase of rapid disinfection if the appropriate continuous flow reactor technology is employed and the chlorine to ammonia application ratio is not too small. This initial phase of disinfection is ascribed to chlorine oxidation-reduction reactions rather than unreacted free chlorine.
Electronic Conductivity Measurements in Solid Electrolytes Using an Ion Blocking Microelectrode: Noise Rejection Based on a Median Filter

In this paper, a method of electronic conductivity measurement is presented. It combines two well known methods of electrochemistry: cyclic voltammetry and chronoamperometry. This DC technique uses the Hebb–Wagner approach to block ionic conduction (when steady state conditions are reached) and allows electronic conduction of solid electrolytes to be determined. In order to get short diffusion times, a micro contact is used as an ion blocking electrode. However, as the electronic conduction in electrolytes is and should be very low, the current is also very low, typically some tens of nanoamps. Thus, the heating system inevitably generates noise problems that are solved using a median filter. As opposed to other related work, our system allows the determination of the conductivities without any preliminary smoothing or fitting of the curves (since the noise is strongly reduced). Some results with oxygen ion conductors are also given.
Solvent Extraction of Th(IV) and Eu(III) Ions by 3,5-di-tert-butyl-2-Hydroxy-Benzaldehyde Oxime from Aqueous Chloride Media

The extractive properties of an oxime derivative, named 3,5-di- tert -butyl-2-hydroxy-benzaldehyde oxime dissolved in dichloromethane, have been investigated towards thorium(IV) and europium(III) ions from chloride media at 298 K. The analysis of the extraction data reveals that the thorium and europium ions are extracted as the complexes with metal/ligand ratios of 1:3 and 1:1, respectively. The examined extractant presents superior extractive properties towards thorium than europium ions. The influence of temperature on the extraction process of the studied ions was assessed in the range 288-303 K. The distribution ratios of both metal ions decreased with temperature. Thermodynamic parameters energy (ΔG°), enthalpy (ΔH°), and entropy (ΔS°) changes associated with the extraction processes were evaluated.
Intensity-modulated radiation therapy (IMRT)-based concurrent chemoradiotherapy (CCRT) with Endostar in patients with pelvic locoregional recurrence of cervical cancer

Abstract The treatment of recurrent cervical cancer, especially pelvic locoregional recurrence, is very challenging for gynecologic oncologists. This study investigated the efficacy and safety of intensity-modulated radiation therapy (IMRT)-based concurrent chemoradiotherapy (CCRT) with Endostar, a novel modified recombinant human endostatin, in patients with pelvic locoregional recurrence of cervical cancer following surgical treatment.This phase 2 study was conducted between May 2018 and May 2019 at a single center in the Qinghai-Tibet Plateau and enrolled 31 patients with pelvic locoregional recurrence of cervical cancer following surgical treatment. All patients were treated with IMRT-based CCRT for 6 weeks and intravenous infusions of Endostar (15 mg/m2), which were administered on days 1 to 7 of CCRT, followed by rest for 4 weeks. After resting, chemotherapy with cisplatin (70 mg/m2) plus paclitaxel (135–175 mg/m2) was given every 3 weeks for a total of 4 treatments.Thirty-one patients were evaluable for the primary endpoint. The mean age was 50.03 years (SD 7.72). The objective response rate was 67.74% and the disease control rate was 83.87% (48.39% achieved a complete response, 19.35% a partial response, 16.13% had disease stabilization, and 16.13% had progressive disease). The most common adverse events were nausea, vomiting, alopecia, neutropenia, and leukopenia; most events were grade 1 or 2 in intensity. Grade 3 toxicities included thrombocytopenia and neutropenia in 2 patients each, and leukopenia in 4 patients. No cases of grade 4 acute toxicity were observed. IMRT-based CCRT with Endostar infusions is effective and safe. Our results support the use of this treatment for patients with pelvic locoregional recurrence of cervical cancer following surgical treatment.
Apparent errors in sap flow measurements at high transpiration rates by modified heat-balance gauges on woody vine (Vitis) stems.

Heat-balance sap flow gauges were configured to produce a more thermally uniform stem cross-section under high flow rates. On mature grapevines (Vitis labruscana; leaf area per vine ≤27 m 2 ) either undisturbed in the field or transplanted to large containers (ca. 1 m 3 volume) that were monitored on a balance, custom-built gauges (stem diam. ≤46 mm) under variable power were run simultaneously with a whole-plant gas exchange system. Transpiration (Tr) varied from about 80 g h -1 overnight to daily maxima approaching 2100 g h -1 (container vines) and 2700 g h -1 (field vines). In container vines, instantaneous estimates of Tr (6.00 to 20.00 local standard time [HR]) agreed most closely between gas exchange and gravimetry (Spearman Rank R = 0.96; p<0.05). Estimates of Tr were correlated significantly between sap flow and gas exchange (R = 0.94; p<0.05), and between sap flow and gravimetry (R = 0.88; p<0.05). On average, cumulative estimates of Tr over 24h (17 to 19 L d -1 ) agreed within 5% (gravimetry vs. gas exchange) and within 17% (sap gauge vs. gas exchange or gravimetry). Instantaneous estimates of Tr for field vines were correlated significantly (p<0.05) between sap flow and gas exchange (R = 0.87). Cumulative water use per vine was 18 to 22 L d -1 ; estimation methods differed on average by 15%. In both container and field vines, sap flow gauges underestimated high mid-day rates of Tr consistently, due in part to the choice of power input. The open-loop power control algorithm maintained upstream-downstream surface temperature differences between 1.5 and 2°C during midday, but the algorithm was not responsive enough to the very rapid rate of change in Tr for about two hours during the morning, resulting in anomalous overestimates of Tr.
La demanda de educación superior en España: 1977-1994

EL OBJETIVO DE LA TESIS ES EL ESTUDIO DE LA INFLUENCIA DE LAS CARACTERISTICAS PERSONALES FAMILIARES Y DE LAS SENALES DEL MERCADO DE TRABAJO EN LA DEMANDA DE EDUCACION SUPERIOR EN ESPANA DESDE 1977 HASTA 1994. TAMBIEN SE ESTUDIA EL PROBLEMA DE LA PERSISTENCIA EN LA CONSECUCION DE UN TITULO UNIVERSITARIO. SE UTILIZAN LOS MODELOS DISCRETOS DE ELECCION, EN CONCRETO LOS MODELOS DE REGRESION LOGISTICA Y SE TIENEN EN CUENTA LOS PROBLEMAS DE SELECCION DE LA MUESTRA. LOS DATOS UTILIZADOS SON LOS DATOS INDIVIDUALES DE LA ENCUESTA DE POBLACION ACTIVA DESDE 1977 HASTA 1994 Y LA EPA LONGITUDINAL DESDE 1987 HASTA 1995. LA TESIS CONSTA DE 4 CAPITULOS: I. LA TEORIA DEL CAPITAL HUMANO Y LOS MODELOS DE DEMANDA DE EDUCACION II. LA EVOLUCION DE LA DEMANDA DE EDUCACION EN ESPANA DESDE 1977 HASTA 1994 III. RESULTADOS DE LA ESTIMACION DE LOS MODELOS DE DEMANDA DE EDUCACION SUPERIOR PARA ESPANA: 1977-1994 IV. LA PERSISTENCIA EN LA CONSECUCION DE UN TITULO UNIVERSITARIO.