Miracle-dz/UniFAR-FTUs huggingface dataset:
An Algorithm of Combining Delaunay TIN Models and Region Growing for Buildings Extraction

LiDAR technology has been widely applied in remote sensing and computer vision. Aiming at drawback of inefficient filtering and then extracting methods, the algorithm of combining Delaunay TIN models and region growing is proposed for more efficient building extraction. At First, Delaunay TIN models were built on raw LiDAR points to get connection of discrete points. Based on the geometry properties of triangles which edge points are located, protrusions edge points were extracted. Then, the extracted edge points were assigned as seed points in region growing. It yielded a point set of protrusion based on triangle network connections. Finally, since the size of non-building points is usually much smaller than the building points and non-building point sets can be deleted by threshold. The algorithm extracted building points without filtering operation, the simulation results indicate that it can improve efficiency in building extraction and guarantee the accuracy in different scenarios. Introduction LiDAR (Light detection and ranging) is advanced remote sensing technique which can obtain 3D terrain information rapidly having the advantages of high definition, high accuracy [1], all-weather and all-time. Building reconstruction of urban is an important subject and application in computer vision and pattern recognition. Building reconstruction projects via LiDAR point cloud usually have the pipeline of extracting building points from raw LiDAR data, then extracting building points and edge points, such as [2, 3, 4, 5], finally obtaining 3D models of buildings and completing 3D reconstruction. The commonly used building points extraction algorithms are mathematical morphology filtering algorithm [6, 7, 8], region growing algorithm [9, 10], Triangulated Irregular Network (TIN) filtering algorithm [11], least squares filtering algorithm [12, 13], hierarchical moving curved fitting filtering method [14] and so on. These algorithms are based on the small gradient between points. Firstly, they remove the ground points from raw LiDAR points obtaining object points, it is called filtering. Then, extract building points according to the differences in elevation [15, 16], or facets’ normal vector between building points and protrusion points. These algorithms are complicated, especially when meeting voluminous point cloud. What’s more, we should classify point to each building in the next step. The efficiency of the algorithms is not satisfactory.
Global linear stability analysis of jets in cross-flow

The stability of low-speed jets in cross-flow (JICF) is studied using tri-global linear stability analysis (GLSA). Simulations are performed at a Reynolds number of 2000, based on the jet exit diameter and the average velocity. A time stepper method is used in conjunction with the implicitly restarted Arnoldi iteration method. GLSA results are shown to capture the complex upstream shear-layer instabilities. The Strouhal numbers from GLSA match upstream shear-layer vertical velocity spectra and dynamic mode decomposition from simulation (Iyer & Mahesh, J. Fluid Mech., vol. 790, 2016, pp. 275–307) and experiment (Megerian et al., J. Fluid Mech., vol. 593, 2007, pp. 93–129). Additionally, the GLSA results are shown to be consistent with the transition from absolute to convective instability that the upstream shear layer of JICFs undergoes between $R=2$ to $R=4$ observed by Megerian et al. (J. Fluid Mech., vol. 593, 2007, pp. 93–129), where $R=\overline{v}_{jet}/u_{\infty }$ is the jet to cross-flow velocity ratio. The upstream shear-layer instability is shown to dominate when $R=2$ , whereas downstream shear-layer instabilities are shown to dominate when $R=4$ .
Combinatorial identities for polyhedral cones

Some known relations for convex polyhedral cones, involving angles or conical intrinsic volumes, are superficially of a metric character, but have indeed a purely combinatorial core. This fact is strengthened in some cases, with implications for valuations on polyhedral cones, and is worked out in the case of the extended Klivans–Swartz formula.
The biomechanical demands of snowboard landings in training with elite freestyle snowboard athletes

Freestyle snowsport has emerged as one of the fastest growing Winter Olympic sports in the past decade, despite this no countries/teams have published data explaining the sports biomechanical demands in training or competition. Information describing the kinetic, kinematic and muscular demands relative to jump landing actions has not been investigated with elite freestyle athletes. Data were collected from athletes of the Great Britain Park and Pipe team during an official team training session, conducted on an artificial landing slope. Five athletes were assessed over multiple trials in three jump landings completed in regular, switch, 360 degree (deg) rotation jump landings. Measures including; landing acceleration (g), knee flexion angle (deg), knee angular velocity (d/sec) and integrated electromyography (iEMG) in muscles of the upper-thigh (bicep femoris, rectus femoris, semitendinosus, vastus lateralis, and vastus medialis), in pre and post-initial contact (IC) phases of jump landings were recorded. Large peak board accelerations were found in the regular and 360 deg rotation jump landing conditions, which corresponded with increased knee flexion angle and knee angular velocity at the point of initial contact (landing) and post-IC phase. Group summed mean iEMG revealed higher overall muscle activation post-IC versus pre- IC, and higher mean iEMG and peak % MVC recorded in the BF, RF, VL and VM muscles post-IC in the 360 deg rotation condition. Highest mean iEMG in the ST muscle was found post-IC in the regular jump landing condition. Elevated preactivation of hamstring (BF, ST) muscles was found in switch and 360 deg rotation conditions. And, higher mean and peak iEMG values were also observed post-IC in the quadricep (RF, VL and VM) muscles. This research can be used to inform practitioners of the biomechanical demands of snowboard jump landings, which is currently absent from the scientific literature. More specifically, the findings reveal the importance high muscular strength and rate of force development capabilities of hamstring and quadricep muscles, which should be targeted in athletic development programmes to assist lower-limb performance during snowboard landings.
Localization in Wireless Sensor Network Using Locality Preserving Canonical Correlation Analysis: Localization in Wireless Sensor Network Using Locality Preserving Canonical Correlation Analysis

In this paper, the deployment of wireless network is analyzed in accordance with the manifold distribution. Next, the previous Locality Preserving Canonical Correlation Analysis (LPCCA) algorithm is used to build a mapping from the signal-vector space to the physical location space and develop a location algorithm, Location Estimation-Locality Preserving Canonical Correlation Analysis (LE-LPCCA, for short), which sufficiently takes the local structure of the network topology into account. Finally, experimental results on benchmark show that this method achieves a higher accuracy and stability than other location algorithms.
Proximity measures for data described by histograms

Riassunto: Il presente lavoro ha come obiettivo quello di confrontare due o piu distribuzioni empiriche (di frequenza o di probabilita) descritte in termini di istogrammi ed estratte da campioni di differenti dimensioni. Al fine di considerare la differente dimensione campionaria nel calcolo delle misure di prossimita tra distribuzioni, proponiamo di confrontare gli intervalli di confidenza associati alle stime. In particolare, proponiamo l’utilizzo di distanze basate sulla metrica di Hausdorff ed una metrica basata sulla distanza di Wasserstein, confrontandone le capacita interpretative e le proprieta analitiche.
Effect of nitrate concentration on power generation and nitrogen removal in microbial fuel cell

ABSTRACT Microbial fuel cell (MFC) technology with decarbonization and denitrification is considered to be advantageous in treating wastewater with a low carbon-to-nitrogen ratio. In this study, MFC was treated with different concentrations of nitrate-nitrogen. The MFC technology revealed significant treatment advantages when compared to both abiotic electrode treatment and microbial treatment only. The best treatment effect was recorded when the MFC's nitrate-nitrogen ( ) concentration was 414 mg/L. The running of the MFC system showed that it produced a stable output voltage of up to 0.17 V within 160 h. It showed a power density of up to 40.18 mW/m2, 1.58 times M1 (138 mg/L, 25.49 mW/m2), and 4.48 times non-biological electrode. The removal rate of was 97.48%, but the lack of anode electron supply resulted in the incomplete reduction of nitrate-nitrogen and accumulation of nitritenitrogen. Nitrate-nitrogen concentration in the study had no significant impact on microbial population diversity. However, the relative abundance of Proteobacteria increased from 47.3% to 65.4% when concentration increased from 138 to 414 mg/L. Burkholderiales, Hydrogenophilales, and Rhodocyclales were the main denitrifying bacteria. These results demonstrate promise in supporting the development of microbial cathode denitrification.
Association of Socioeconomic Status With Long-Term Outcome in Survivors After Out-of-Hospital Cardiac Arrest: Nationwide Population-Based Longitudinal Study

Background Out-of-hospital cardiac arrest (OHCA) is a major public health problem and a leading cause of death worldwide. Previous studies have focused on improving the survival of people who have had OHCA by analyzing short-term survival outcomes, such as the return of spontaneous circulation, 30-day survival, and survival to discharge. Research has been conducted on prehospital prognostic factors to improve the survival of patients with OHCA, among which the association between socioeconomic status (SES) and survival has been reported. SES could affect bystander cardiopulmonary resuscitation rates and whether OHCA is witnessed, and low cardiopulmonary resuscitation education rates are associated with low SES. It has been reported that areas with high SES have shorter hospital transfer times and more public defibrillators per person. Previous studies have shown the impact of SES disparities on the short-term survival of patients with OHCA. However, understanding the impact of SES on the long-term prognosis of OHCA survivors remains limited. As long-term outcomes are more indicative of a patient’s ongoing health care needs and the burden on public health than short-term outcomes, understanding the long-term prognosis of OHCA survivors is important. Objective This study aimed to identify whether SES influenced the long-term outcomes of OHCA. Methods Using health claims data obtained from the National Health Insurance (NHI) service in Korea, we included OHCA survivors who were hospitalized between January 2005 and December 2015. The patients were divided into 2 groups: NHI and Medical Aid (MA) groups, with the MA group defined as having a low SES. Cumulative mortality was estimated using the Kaplan-Meier method, and a Cox proportional hazards model was used to evaluate the impact of SES on long-term mortality. A subgroup analysis was performed based on whether cardiac procedures were performed. Results We followed 4873 OHCA survivors for up to 14 years (median of 3.3 years). The Kaplan-Meier survival curve showed that the MA group had a significantly decreased long-term survival rate compared to the NHI group. With an adjusted hazard ratio (aHR) of 1.52 (95% CI 1.35-1.72), low SES was associated with increased long-term mortality. The overall mortality rate of the patients who underwent cardiac procedures in the MA group was significantly higher than that of the NHI group (aHR 1.72, 95% CI 1.05-2.82). The overall mortality rate of patients without cardiac procedures was also increased in the MA group compared to the NHI group (aHR 1.39, 95% CI 1.23-1.58). Conclusions OHCA survivors with low SES had an increased risk of poor long-term outcomes compared with those with higher SES. OHCA survivors with low SES who have undergone cardiac procedures need considerable care for long-term survival.
Intervenciones para mejorar la calidad de vida en adultos mayores: revisión sistemática con preguntas PIO

El cambio demográfico proyecta un aumento en el número de adultos mayores, por lo que es importante disponer de estrategias adecuadas para promover en ellos una vida saludable. El objetivo de este trabajo fue revisar sistemáticamente las publicaciones hechas sobre este tópico de los años 2015-2020, para lo cual se utilizó la técnica de preguntas PIO en las bases de datos Pubmed, PsycInfo, Ovid y Redalyc, utilizando los términos MeSH adultos mayores, Activación física, Entrenamiento cognitivo y Calidad de vida. Asimismo, se utilizó el conector booleano “NOT” con fragilidad y enfermedad. Del total de 1,651 artículos recabados, se descartaron 643 publicados antes de 2015; 323 por no tener acceso al texto completo; 312 con sujetos con comorbilidad, ya que los programas de intervención estaban diseñados para población con distintas enfermedades. Como resultado, se seleccionaron once artículos publicados. Los principales hallazgos fueron la descripción de las técnicas empleadas, el perfil del profesional y diversas variables. En conclusión, se encontró que el entrenamiento cognitivo mejora memoria, inhibición, flexibilidad cognitiva, atención selectiva, autoestima y calidad de vida, mientras el ejercicio físico promueve el aumento del tono muscular, equilibrio, fuerza y menor riesgo de caídas. A partir de dicha revisión, se sugiere conjuntar ambas intervenciones para obtener efectos potenciados y favorecer así una mejor calidad de vida en esta población.
Assessing Spawning Runs of Anadromous Fishes using a Bayesian Analysis of Split-beam and DIDSON Count Data.

WAINE, MICHAEL WILLIAM. Assessing Spawning Runs of Anadromous Fishes Using a Bayesian Analysis of Split-beam and DIDSON Count Data. (Under the direction of Dr. Joseph E. Hightower.) Riverine hydroacoustics offer a non-invasive technique to assess anadromous populations during upstream migrations (spawning runs) to riverine habitats. We monitored spring spawning runs in 2008 and 2009 of hickory shad Alosa mediocris, American shad Alosa sapidissima, alewife Alosa pseudoharengus, blueback herring Alosa aestivalis, striped bass Morone saxatilis, and white perch Morone americana in the Roanoke River, NC using a combined sonar study design. We used side aspect split-beam echosounding and DIDSON transects to obtain point counts across the river channel and throughout the water column. The split-beam covered ~30% of the river cross section, while DIDSON transects provided resolution in unsampled areas (opposite bank and near bottom). From weekly DIDSON transects in 2009, we found upstream migrants were bottom and shore oriented, with 75% within 1 m of the bottom and 82% within 20 m of each bank. Using a Bayesian modeling framework, we estimated daily run size based on modeled spatial densities from the combined sonar count datasets, and a conditionally autoregressive model to smooth spatial trends to unsampled areas. Daily estimates in both years were strongly correlated in space and time, explained further by spatial covariates included in the model (e.g., distance from bank). We identified run timing of anadromous fishes using drift gillnetting and boat electrofishing, and found that peaks in catch were significantly correlated with modeled daily estimates. We partitioned model estimates to species specific run sizes using a 7 d moving average of daily catch data. Results indicate a currently low population size of American shad, a consistent result with other river-specific assessments of this population. Run estimates for other targeted anadromous fishes appear relatively stable. Our survey methods and analysis pathway enhance run size monitoring techniques, especially in rivers where fixed side-aspect hydroacoustics monitoring covers only a fraction of the entire river cross section. Assessing Spawning Runs of Anadromous Fishes Using a Bayesian Analysis of Split-beam and DIDSON Count Data by Michael William Waine A thesis submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the degree of Master of Science Fisheries, Wildlife, and Conservation Biology Raleigh, North Carolina 2010
Geopolitical crisis and changing global commodity markets: responses by agribusiness and the state in Argentina

ABSTRACT The war in Ukraine has compromised one of the world’s largest grain production areas, opening possibilities for those few countries that together with Russia and Ukraine concentrate production. The article explores reverberations of this restructuring in global commodity trade in Argentina. It argues that agrarian capitalists have renewed pressures on capital valorization conditions, reshaping struggles over accumulation and challenging the state’s capacity to handle effects of the world crisis. The paper is intended to contribute to debates on agrarian extractivism in Latin America and calls attention to the complexity of state-capital relations for a better understanding of class political struggles.
Prospects for Ultra-sensitive Terahertz Photon Detection with Graphene

Prospects for Ultra-sensitive Terahertz Photon Detection with Graphene Christopher Burt McKitterick 2015 This dissertation investigates a new scheme for the detection of terahertz (THz) photons. The vast majority of photons visible to outer space observatories occur in the far-infrared, but there do not yet exist detectors sensitive enough to accurately measure the faintest signals. I propose to use graphene, a single atomic layer of graphite, as the detecting element to observe these weak sources. As a result of its nano-scale dimensions, there are few charge carriers in graphene systems per unit area. Thus it is envisioned that the few charge carriers will be significantly heated by photon absorption. By measuring the increase of emitted blackbody radiation (Johnson noise) as a result of the heated charge carriers, ideally one would be able to measure even very weak THz signals. After outlining the detection requirements that motivate the research, I describe the mechanisms which affect the sensitivity of graphene-based photodetectors. Then I describe measurements which probe the physical parameters of graphene to allow for accurate predictions of device performance. Chiefly, the studies focus on the electron-phonon cooling pathway, which has a substantial role in determining device sensitivity. I find that my results are consistent with theories for electron-phonon cooling in two separate regimes: cooling in the absence of disorder (i.e., infinite mean free path) (Viljas et al., 2010) and disorder-assisted scattering at low temperatures (Chen and Clerk, 2012). From the results of my studies on electron-phonon scattering, I make preliminary estimates of the performance of a prospective graphene photodetector using Johnson noise emission as its detection mechanism. I find that the outlook for using graphene as a single photon detector for THz photons is not promising due to the strong electron-phonon coupling in graphene. However, larger areas of graphene could be used to perform power measurements by averaging over the detection of thousands of arriving photons. The performance of the device is competitive with current stateof-the art detectors. Prospects for Ultra-sensitive Terahertz Photon Detection with Graphene A Dissertation Presented to the Faculty of the Graduate School of Yale University in Candidacy for the Degree of Doctor of Philosophy by Christopher Burt McKitterick Dissertation Director: Professor Daniel E. Prober
A New Predictive Current Control With Reduced Current Tracking Error and Switching Frequency for Multilevel Inverters

The forward Euler's integration method is widely used to compute the trajectories of the control variables in conventional predictive current control (PCC) techniques. However, the computational error caused by the forward Euler's method proportionally increases with the sampling time. Hence, the current tracking ability of conventional PCC techniques deteriorates when operating with a large sampling time. Furthermore, the conventional PCC methods produce more switching transitions to reduce the current tracking error, thereby leading to a high switching frequency operation. To overcome these problems, Heun's integration method is proposed for the PCC in this article. The proposed method has predictor and corrector stages to minimize the computational error caused by the large sampling time during the prediction process of the control variables. Thereby, the proposed Heun's method-based PCC techniques produce fewer switching transitions to minimize the current tracking error. Consequently, this results in a decrease in switching frequency. The proposed PCC method is applied to a four-level multilevel inverter (4L-MLI). The discrete-time system models are developed using Heun's integration method to implement the proposed PCC. The working philosophy of the proposed method is demonstrated through the dSPACE/DS1103 controlled 4L-MLI laboratory prototype. The experimental performance of the proposed PCC is compared with that of the conventional PCC in terms of average switching frequency, current tracking error, current harmonic distortion, and transient response time.
Crystal field effects in the intermetallic R Ni 3 Ga 9 (R =Tb , Dy, Ho, and Er) compounds

L. S. Silva,1 S. G. Mercena,1 D. J. Garcia,2 E. M. Bittar,3 C. B. R. Jesus,4 P. G. Pagliuso,4 R. Lora-Serrano,5 C. T. Meneses,1 and J. G. S. Duque1,4 1Programa de Pós-Graduação em Física, Campus Prof. José Aluísio de Campos, UFS, 49100-000 São Cristóvão, SE, Brazil 2Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and Centro Atómico Bariloche, RA-8400 S.C. de Bariloche, Río Negro, Argentina 3Centro Brasileiro de Pesquisas Físicas, Rua Dr. Xavier Sigaud 150, 22290-180 Rio de Janeiro, RJ, Brazil 4Instituto de Física “Gleb Wataghin”, UNICAMP, 13083-970 Campinas-São Paulo, Brazil 5Instituto de Física, Universidade Federal de Uberlândia, 38408-100 Uberlândia, MG, Brazil (Received 19 September 2016; revised manuscript received 5 January 2017; published 19 April 2017)
Efficient finite difference method for optimal portfolio in a power utility regime-switching model

ABSTRACT The focus of the present work is a one-dimensional system of weakly coupled degenerate semi-linear parabolic equations of optimal portfolio in a regime-switching with power utility function, suggested in Valdez and Vargiolu [Optimal portfolio in a regime-switching model, in Proceedings of the Ascona '11 Seminar on Stochastic Analysis, Random Fields and Applications, R.C. Dalang, M. Dozzi, and F. Russo, eds., 2013, pp. 435–449]. We extend the model, deriving a new linear parabolic system for indifference option valuation. Then, we investigate the properties of the solution of the systems. Further, we develop and analyse an adequate, flux limited finite difference discretization, which preserves the typical features of the differential problem solution. Numerical experiments are presented and discussed.
PREVALANCE OF INTESTINAL PARASITOSES WHICH ARE OF GREAT IMPORTANCE IN IMMUNE DEFICIENCY IN DIALYSIS PATIENTS.

Abdurrahman Ekici and Hasan Yılmaz. Van Yüzüncü Yıl University, Faculty of Medicine, Parasitology Department, Van, Turkey. Manuscript Info Abstract . Manuscript History Received: 01 September 2018 Final Accepted: 03 October 2018 Published: November 2018