Cool-SPS: Pulling down the temperature, pushing up the reactivity

The use of materials, especially in the field of electronics, but also for catalysis, health (…), requires the control of their shaping (dense or porous materials, spherical or anisotropic particles…). This objective is frequently reached through the preparation of ceramics by conventional, high temperature sintering. Spark Plasma Sintering (SPS) is a particularly efficient densification method, initially dedicated to refractory materials, that is now extremely versatile and allows for the elaboration of nanostructured and/or transparent ceramics, among many other applications. Please click Additional Files below to see the full abstract

A simple method for construction of higher-order potentials and computation of scattering phase shifts

By judicious exploitation of supersymmetry formalism of quantum mechanics higher partial wave nucleon-nucleon potentials are generated from its ground state interactions. The nuclear Hulthen potential and the corresponding ground state wave function with the parameters of Arnold and Mackellar are used as the starting point of our calculation. We compute the scattering phase shifts for our constructed potentials through Phase Function Method to examine the merit of our approach to the problema.Por la explotación racional del formalismo de la supersimetría de la mecánica cuántica, potenciales parciales superiores de onda nucleón-nucleón, se generan a partir de sus interacciones en estado fundamental. El potencial nuclear Hulthén y la correspondiente función de onda del estado fundamental con los parámetros de Arnold y Mackellar, se utilizan como punto de partida de nuestro cálculo. Calculamos los cambios de dispersión de fase de nuestros potenciales construidas a través del Método de la Función de Fase, para examinar el mérito de nuestro enfoque del problema

Higher partial wave energy dependent and independent two-nucleon interactions via supersymmetry formalism

538-543Within the formalism of supersymmetric quantum mechanics both energy-dependent and independent two-nucleon potentials for the D-wave are constructed from their respective ground state interactions. These potentials in turn are used to compute nucleon-nucleon scattering phase shifts to judge their merits. Energy-dependent potential is found to be more effective than its energy independent counterpart except in the very low energy range

Spectrum of hyperosmolar hyperglycaemic state in neurology practice

Background & objectives: Hyperosmolar hyperglycaemic state (HHS) is a medical emergency, but there is a paucity of studies reporting the spectrum of neurological manifestations of HHS. We, therefore, report the neurological spectrum, triggering factors and outcome of HHS in general neurology practice. Methods: The records of the patients with HHS were extracted from computerized hospital information system and those managed currently were prospectively included. The demographic, clinical manifestations, duration of diabetes and precipitating events such as infection, stress and stroke were noted. Patients with HHS were categorized into seizure, movement disorder and encephalopathy groups. Their electroencephalography, magnetic resonance imaging (MRI) findings and outcome were noted. Results: There were 17 patients with HHS (age range 40 and 75 yr) and seven were females. Seven patients were diabetic for five years, one for four years, one for one year and four were diagnosed after the occurrence of HHS. Four patients had epilepsia partialis continua persisting for 72-360 h, one patient had focal seizures and his MRI revealed T2 hyperintensity in frontal region in one patient and cerebellar vermian hyperintensity in another. All the five patients improved, but two had neurological deficits on discharge. Nine patients had encephalopathy which was precipitated by stroke in six patients, urinary infections in two and meningitis in one. Three females had hemichorea-hemiballismus syndrome, which was triggered by infections. Abnormal movements lasted 5-10 days and responded to correction of hyperosmolarity. Nine out of 17 patients improved completely whereas the remaining eight had partial recovery, these patients had stroke, ventilator-related complications or meningoencephalitis. Interpretation & conclusions: The most common presentation of HHS was encephalopathy (9) followed by seizure (5) and hemichorea-hemiballismus syndrome (3) which responded to the correction of hyperosmolar state

Impact of a fragile precursor on the sintering of tin monoxide

The thermodynamic stability limits of Sn(II) under ambient conditions imposes constraints on the densification of divalent tin based oxides. In the case of tin monoxide (SnO), a low temperature (≤ 300 °C) electric field assisted processing route (Cool-SPS) affords densification up to 90% of theoretical density. This is demonstrated for both conventional SnO and fragile tin(II) oxyhydroxide [Sn6O4(OH)4] precursor powders. The choice of starting precursor impacts both the optimized processing parameters and the resulting ceramic microstructure. Characterization of phase content and stability has been performed on both the precursor powders and resulting ceramics. Preliminary electrochemical property measurements are presented and their connection to observed microstructure and choice of initial precursor is discussed

Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection

Abstract Object detection is a critical and complex problem in computer vision, and deep neural networks have significantly enhanced their performance in the last decade. There are two primary types of object detectors: two stage and one stage. Two-stage detectors use a complex architecture to select regions for detection, while one-stage detectors can detect all potential regions in a single shot. When evaluating the effectiveness of an object detector, both detection accuracy and inference speed are essential considerations. Two-stage detectors usually outperform one-stage detectors in terms of detection accuracy. However, YOLO and its predecessor architectures have substantially improved detection accuracy. In some scenarios, the speed at which YOLO detectors produce inferences is more critical than detection accuracy. This study explores the performance metrics, regression formulations, and single-stage object detectors for YOLO detectors. Additionally, it briefly discusses various YOLO variations, including their design, performance, and use cases