Search results for "ICT."
showing 10 items of 7941 documents
Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy
2022
AbstractIt is well known that the processing parameters of selective laser melting (SLM) highly influence mechanical and physical properties of the manufactured parts. Also, the energy density is insufficient to detect the process window for producing full dense components. In fact, parts produced with the same energy density but different combinations of parameters may present different properties even under the microstructural viewpoint. In this context, the need to assess the influence of the process parameters and to select the best parameters set able to optimize the final properties of SLM parts has been capturing the attention of both academics and practitioners. In this paper differ…
Two-level branch prediction using neural networks
2003
Dynamic branch prediction in high-performance processors is a specific instance of a general time series prediction problem that occurs in many areas of science. Most branch prediction research focuses on two-level adaptive branch prediction techniques, a very specific solution to the branch prediction problem. An alternative approach is to look to other application areas and fields for novel solutions to the problem. In this paper, we examine the application of neural networks to dynamic branch prediction. We retain the first level history register of conventional two-level predictors and replace the second level PHT with a neural network. Two neural networks are considered: a learning vec…
Recent advances in machine learning for maximal oxygen uptake (VO2 max) prediction : A review
2022
Maximal oxygen uptake (VO2 max) is the maximum amount of oxygen attainable by a person during exercise. VO2 max is used in different domains including sports and medical sciences and is usually measured during an incremental treadmill or cycle ergometer test. The drawback of directly measuring VO2 max using the maximal test is that it is expensive and requires a fixed and controlled protocol. During the last decade, various machine learning models have been developed for VO2 max prediction and numerous studies have attempted to predict VO2 max using data from submaximal and non-exercise tests. This article gives an overview of the machine learning models developed over the past five years (…
Adaptive Lung Ventilation (ALV) Evaluierung eines neuen closed loop-gesteuerten Beatmungsalgorithmus bei Eingriffen in �berstreckter Seitenlage
1996
The lateral decubitus position is the standard position for nephrectomies. There is a lack of data about the effects of this extreme position upon respiratory mechanics and gas exchange. In 20 patients undergoing surgery in the nephrectomy position, we compared a new closed-loop-controlled ventilation algorithm, adaptive lung ventilation (ALV), which adapts the breathing pattern automatically, to the respiratory mechanics with conventionally controlled mandatory ventilation (CMV). The aims of our study were (1) to describe positioning effects on respiratory mechanics and gas exchange, (2) to compare ventilatory parameters selected by the ALV controller with traditional settings of CMV, and …
La alimentación en el enfermo oncológico paliativo: Aspectos psicosociales
2015
Esta tesis tiene como objeto de estudio los aspectos psicosociales de la alimentación en el contexto de la enfermedad paliativa oncológica, con el propósito de elaborar una guía de intervención enfermera de las necesidades identificadas.El marco teórico contempla la enfermedad paliativa oncológica y su cuidado, así como la alimentación en esta fase de la enfermedad. Se plantean dos objetivos generales: Analizar la alimentación en la enfermedad paliativa oncológica desde una perspectiva psicosocial y proporcionar una guía de intervención enfermera. La metodología utilizada fue de tipo cualitativo, teniendo como instrumento de recogida de datos la entrevista; siendo aplicados análisis de cont…
Cannabis, cerebro y adicción
2005
El compuesto psicoactivo de la cannabis sátiva, el í-9-tetrahidrocannabinol, ejerce sus efectos sobre el sistema nervioso central a través del receptor cannabinoide CB1. La localización presináptica del receptor CB I sugiere una función de modulación de la liberación de neurotransmisores a través de la denominada señalización retrógrada. El THC actúa en el sistema de recompensa cerebral de una manera muy similar a la de otras sustancias adictivas, incluyendo tanto la capacidad de generar tolerancia y síndro me de abstinencia como la interacción con otros sistema de neurotransmisión implica dos en el fenómeno de la recompensa. El consumo de cannabis provoca, al menos de manera transitoria,…
Le vittime del racket. Imprenditori e commercianti alle prese con Cosa Nostra, ‘Ndrangheta e Camorra
2014
Il lavoro propone una ricerca su un mondo psichico fin qui ancora inesplorato: i pen-sieri, le emozioni, l’esperienza delle vittime del racket delle tre grandi organizzazioni criminali del meridione d’Italia: la Mafia, la Camorra e la ‘Ndrangheta. L’obiettivo è comprendere le multi-sfaccettate questioni psico-antropologiche e sociali sulle quali le organizzazioni criminali si sono radicate, ed in particolare quali dinamiche psico-relazionali e quali codici transculturali entrino in gioco nel complesso e controverso rapporto tra vittima e sistema criminale, tra vittima e sistemi di supporto. Con imprenditori e commer-cianti vittime della criminalità organizzata, sono stati analizzati i vissu…
Minimal clinically important difference for asthma endpoints: an expert consensus report
2020
Minimal clinically important difference (MCID) can be defined as the smallest change or difference in an outcome measure that is perceived as beneficial and would lead to a change in the patient's medical management.The aim of the current expert consensus report is to provide a “state-of-the-art” review of the currently available literature evidence about MCID for end-points to monitor asthma control, in order to facilitate optimal disease management and identify unmet needs in the field to guide future research.A series of MCID cut-offs are currently available in literature and validated among populations of asthmatic patients, with most of the evidence focusing on outcomes as patient repo…
A Standard Siren Measurement of the Hubble Constant from GW170817 without the Electromagnetic Counterpart
2019
We perform a statistical standard siren analysis of GW170817. Our analysis does not utilize knowledge of NGC 4993 as the unique host galaxy of the optical counterpart to GW170817. Instead, we consider each galaxy within the GW170817 localization region as a potential host; combining the redshift from each galaxy with the distance estimate from GW170817 provides an estimate of the Hubble constant, $H_0$. We then combine the $H_0$ values from all the galaxies to provide a final measurement of $H_0$. We explore the dependence of our results on the thresholds by which galaxies are included in our sample, as well as the impact of weighting the galaxies by stellar mass and star-formation rate. Co…
Gravitational Waves and Gamma-Rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A
2017
On 2017 August 17, the gravitational-wave event GW170817 was observed by the Advanced LIGO and Virgo detectors, and the gamma-ray burst (GRB) GRB 170817A was observed independently by the Fermi Gamma-ray Burst Monitor, and the Anticoincidence Shield for the Spectrometer for the International Gamma-Ray Astrophysics Laboratory. The probability of the near-simultaneous temporal and spatial observation of GRB 170817A and GW170817 occurring by chance is $5.0\times 10^{-8}$. We therefore confirm binary neutron star mergers as a progenitor of short GRBs. The association of GW170817 and GRB 170817A provides new insight into fundamental physics and the origin of short gamma-ray bursts. We use the ob…