A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been en-gineered with a high degree of scalability, enabling it to effectively leverage the many-core architecture of the new Sunway system. A consistent performance of 115.8 DP-PFLOPs has been achieved on a high-pressure turbine cascade consisting of over 1.69 billion mesh elements and 865 billion Degree of Freedoms (DOFs). By leveraging a high-order unstructured solver and its portability to large hetero-geneous parallel systems, we have progressed towards solving the
Abstract Objectives We present the original technique of compression hemostatic sutures on the lower uterine segment due to early postpartum hemorrhage during cesarean section, with a literature review. Methods A retrospective clinical case study was conducted at the tertiary perinatal center. Twelve patients had nine planned and three urgent cesarean sections due to antenatally verified placenta previa and/or placenta accreta spectrum and defined early postpartum hemorrhage > 1000 mL during cesarean section. As the use of uterotonics failed to produce any effect and hemorrhage persisted, compression sutures of the lower uterine segment were made by our own technique, as follows: below the hysterotomy, a horizontal corrugated suture is placed from the right to the left corner and after 2–3 cm vertically and backwards at several sites from the left to the right corner, where it is tightened. Results Seven patients had one cesarean section, three patients had two cesarean sections, and seven patients had pregnancy from the in vitro fertilization procedure in their history. There were six patients with placenta previa and six patients with anterior invasive placenta accreta or increta. Original hemostatic procedure was applied successfully in ten cases, and after placement of O'Leary suture and persistent bleeding in two cases. In this group, no hysterectomy was performed, and patients received blood transfusion of 440–880 mL. Three patients later had spontaneous pregnancies. Conclusion Our own hemostatic method with a simple technique, fast learning, and minimal logistics contributes to successful management of this currently global problem of morbidly adherent placenta previa.
Additions to the moth fauna of Bosnia and Herzegovina and Croatia are given. We report on first observations of five species and on reconfirmation of one species after eight decades. In Croatia, we recorded the species Eublemma cochylioides (Guenée, 1852) for the first time, while Eublemma himmighoffeni (Millière, 1867) has been confirmed in the country after 85 years. We report on the first observation of five moth species for Bosnia and Herzegovina: Triodia adriaticus (Osthelder, 1931), Eumera regina Staudinger, 1892, Dryobotodes monochroma (Esper, 1790), Lithophane lapidea (Hübner, [1808]) and Nycteola columbana (Turner, 1925). Even though these records could be expected due to species general distributions, they fill the knowledge of moth diversity of both countries and the wider region.
Erosion, soil loss and consequent nutrient fluxes impair water quality and can degrade arable soils. Erosion rates in Sweden are generally low but episodic losses of suspended solids (SS) can affect water quality. Identifying critical source areas (CSAs) and “hot moments” is essential to reduce erosive losses from arable land. Here we use a distributed, dynamic high-resolution erosion model that simulates the sum of all transported material, i.e., erosion within the soil profile, on the soil surface and transport through drainage systems. We simulate monthly SS transport in six small agricultural catchments with varying soil texture over 8 years. Kling-Gupta Efficiency (KGE) was used as model performance statistics, and calibration (KGE = 0.45–0.78) and validation (KGE = 0.64–0.83) showed acceptable model performance for all catchments, with mean annual SS losses between 2.1 and 31.5 t km-2yr-1. Equifinality could be minimised by using more precise initial parameter values. We suggest that the model can be applied to comparable unmonitored catchments to identify erosion-sensitive periods and CSAs.
As technology continues to shape the landscape of education, the need for effective evaluation frameworks for sustainable technology-enhanced learning (TEL) becomes increasingly vital. This study presents an expert-opinion-based evaluation framework, utilizing Z-numbers and the fuzzy logarithm methodology of additive weights (LMAW), to assess the sustainability of TEL approaches. This framework focuses on four main criteria: cloud services compliance, cloud M-Learning essentials, system and technological advancement, and organizations management readiness. Additionally, it incorporates 17 sub-criteria to provide a comprehensive evaluation of the system. Drawing on the expertise of subject matter specialists, the evaluation framework utilizes Z-numbers to account for the inherent uncertainty and imprecision in expert judgments. The fuzzy LMAW is applied to calculate the overall scores for each criterion and sub-criterion, enabling a quantitative measure of their importance in the evaluation process. The findings of this study will contribute to the development of a robust and scientifically rigorous evaluation framework for sustainable TEL. By incorporating expert opinions and employing Z-LMAW, decision-makers and stakeholders can objectively assess the sustainability of TEL systems. This framework holds promise for informing the design and implementation of strategies to enhance the quality, compliance, and technological advancements in TEL environments.
Despite initial responses to hormone treatment, metastatic prostate cancer invariably evolves to a lethal state. To characterize the intra-patient evolutionary relationships of metastases that evade treatment, we perform genome-wide copy number profiling and bespoke approaches targeting the androgen receptor (AR) on 167 metastatic regions from 11 organs harvested post-mortem from 10 men who died from prostate cancer. We identify diverse and patient-unique alterations clustering around the AR in metastases from every patient with evidence of independent acquisition of related genomic changes within an individual and, in some patients, the co-existence of AR-neutral clones. Using the genomic boundaries of pan-autosome copy number changes, we confirm a common clone of origin across metastases and diagnostic biopsies, and identified in individual patients, clusters of metastases occupied by dominant clones with diverged autosomal copy number alterations. These autosome-defined clusters are characterized by cluster-specific AR gene architectures, and in two index cases are topologically more congruent than by chance (p-values 3.07 × 10−8 and 6.4 × 10−4). Integration with anatomical sites suggests patterns of spread and points of genomic divergence. Here, we show that copy number boundaries identify treatment-selected clones with putatively distinct lethal trajectories.
Evolutionary algorithms have gained widespread recognition as a viable approach to numerous optimization problems that are characterized by infeasible optimal solutions, owing to the presence of large search spaces and computational limitations. Forecasting personnel radiation exposure can be one of these problems. Radiation exposure poses risks to various practitioners as well as patients in the healthcare facilities. In this study, we model the problem as a specific time series instance. Moreover, we investigate the impact of the training an adaptive neuro fuzzy system using evolutionary algorithms, namely, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), on the overall performance of forecasting personnel radiation exposure. The results show that GA and PSO could provide effective solution. On the other hand, they might be highly affected by the initial state of the fuzzy inference system leading to unstable performances. We recommend further experimentation with a combination of other advanced optimization and machine learning methods to assure the most effective results.
This study performed a mechanical stability analysis for the impact of axial pressure on an Ultra X external unilateral fixation device applied to a tibia with an open fracture. The real construction of the fixation device was used to create a 3D geometric model using a Finite Element Method (FEM) model, which was made to perform structural analysis in the CATIA V5 (Computer Aided Three-dimensional Interactive Application) CAD/CAE system. Specific stresses and displacements were observed at points of interest using structural analysis. The focus was on the relative displacements of the proximal and distal bone segments in the fracture zone. These displacements were used to calculate the stiffnesses of the bone in the fracture zone and the fixation device itself. The results obtained provide the necessary information regarding the stability of the Ultra X fixation device.
Selecting cultivars with greater biomass results in higher yields and greater carbon sequestration. Storage of atmospheric carbon in the plant/soil pool contributes not only to food security but also to mitigating climate change and other agroecological benefits. The objective of this study was to determine: (1) grain, residue, and root biomass yields; (2) harvest indexes; (3) residue-to-product ratio; (4) root-to-shoot ratio; (5) biomass carbon and nitrogen contents; and (6) C:N ratios for two new and two old winter wheat cultivars. The greatest yield difference was found between old Srpanjka (the lowest) and new Kraljica (the highest) cultivar where grain, residue, root, and total biomass yield was higher by 38%, 91%, 71%, and 64%, respectively. Total biomass was composed of 40–47% grain, 10–11% roots, 32–36% stems + leaves, 9–11% chaff, and 1–2% spindle. The range of HI was 0.45–0.53, RPR 0.91–1.25, and R:S ratio 0.12–0.13. For all cultivars, positive carbon and negative nitrogen balance within the plant pool was determined. Still, root biomass and rhizodeposition carbon remain open questions for a better understanding of agroecosystems’ C dynamics.
Intraorbital and transorbital injuries are included in the group of head injuries with low frequency. In particular, such injuries rarely result in infectious processes in the brain parenchyma. This case presents a case where a 57-year-old man reported to the neurosurgery department that he had sustained an injury to the conjunctiva of the upper eyelid a month earlier. The patient was injured by a tree branch, which he removed on his own initiative. After persistent eye abduction palsy, an MRI was performed, which showed a compressive mass in the frontal lobe of the brain. A surgical procedure was indicated, which found a piece of twig 3 mm long inside the abscess. Surgical intervention and antibiotic therapy led to the complete recovery of the patient.
Stochastic structures with semi-controlled nodes were generated in the software Rhinoceros 7/Grasshopper using the Voronoi tessellation method, which divides a given volume into Voronoi cells. The structures were tested in Ansys software to obtain von Mises stresses and required forces. The results differ for the same seed number in the same volume but for different seed positions. For this reason, the distribution of seed points directly affects their mechanical properties.
A test of CP invariance in Higgs boson production via vector-boson fusion has been performed in the H→γγ channel using 139 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV collected by the ATLAS detector at the LHC. The optimal observable method is used to probe the CP structure of interactions between the Higgs boson and electroweak gauge bosons, as described by an effective field theory. No sign of CP violation is observed in the data. Constraints are set on the parameters describing the strength of the CP-odd component in the coupling between the Higgs boson and the electroweak gauge bosons in two effective field theory bases: d[over ˜] in the HISZ basis and c_{HW[over ˜]} in the Warsaw basis. The results presented are the most stringent constraints on CP violation in the coupling between Higgs and weak bosons. The 95% C.L. constraint on d[over ˜] is derived for the first time and the 95% C.L. constraint on c_{HW[over ˜]} has been improved by a factor of 5 compared to the previous measurement.
Digital computers have been getting exponentially faster for decades, but huge challenges exist today. Transistor scaling, described by Moore's law, has been slowing down over the last few years, ending the era of fully predictable performance improvements. Furthermore, the data-centric computing demands fueled by machine learning applications are rapidly growing, and current computing systems -- even with the historical rate of improvements driven by Moore's law -- cannot keep up with these enormous computational demands. Some are turning to analogue in-memory computing as a solution, where specialised systems operating on physical principles accelerate specific tasks. We explore how emerging nonvolatile memories can be used to implement such systems tailored for machine learning. In particular, we discuss how memristive crossbar arrays can accelerate key linear algebra operations used in neural networks, what technological challenges remain, and how they can be overcome.
Os Portais da Transparência (TPs) são uma forma de o cidadão acompanhar as informações sobre as ações do governo e entender como são utilizados os recursos provenientes da arrecadação de impostos. No entanto, existem diversos instrumentos que indicam requisitos legais e boas práticas para implementação de TPs, dificultando a tarefa de avaliar a completude de um TP. O objetivo deste trabalho é propor uma ferramenta computacional para apoiar tal avaliação. Para tanto, foram analisados guias de boas práticas e leis que indicam os requisitos necessários para a construção de BTs, a fim de apresentar um guia unificado que permita o processo de avaliação da completude de tais requisitos. Avaliamos este guia por meio de dois estudos: (i) pela avaliação de três portais de diferentes prefeituras; e (ii) pela realização de avaliação empírica do guia, por meio de entrevistas com profissionais usuários do BT de Niterói. Implementamos uma ferramenta web, pois nosso guia é composto por 268 itens (requisitos para avaliação da completude). Pudemos observar em nossa análise quais itens são bem atendidos pelo guia e pela ferramenta e quais ainda precisam ser melhorados. Um importante trabalho futuro é evoluir a ferramenta para permitir a incorporação de novos instrumentos.
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