“My favorite quote is “Chance favors only the prepared mind” from Louis Pasteur … The biggest change in my scientific working environment in the past 10 years has been to move to a different country ...and to have two kids …” Find out more about M. Ángeles (Tati) Fernández‐Ibáñez in her Introducing … Profile.
Responses to rising patient demand, financial constraints, and political dogma in the UK may be well intended and focus on patient need, but they fail to respect the human nature of the professional ...groups on whom we rely to deliver care. Senior doctors retire early to avoid pressures and financial penalties on their pensions resulting from continued employment.
El objetivo es analizar las condiciones laborales objetivas y subjetivas de los empleados de los alojamientos urbanos de Villavicencio. Metodológicamente, se siguió un enfoque cuantitativo con diseño ...no experimental, descriptivo y correlacional. La información se obtuvo de 142 empleados de hoteles inscritos en el Registro Nacional de Turismo en Villavicencio, mediante el instrumento CV GOHISALO. El análisis contempla la multidimensionalidad laboral objetiva y subjetiva y la ponderación de variables objetivas. Los resultados muestran un Índice de la Calidad del Empleo Objetivo promedio de 57,49 puntos, sin alcanzar un nivel aceptable. El salario es la variable que presenta la mayor insatisfacción, luego está la administración del tiempo libre y desarrollo personal. Se concluye que las empresas hoteleras de Villavicencio posiblemente se han concentrado en estrategias para la productividad, competitividad y el crecimiento económico, descuidando la CVL y la desmotivación en el trabajador al descuidar su integridad psicológica, humana, familiar y social.
Andrew C.‐H. Sue
Angewandte Chemie International Edition,
August 1, 2022, Letnik:
61, Številka:
31
Journal Article
Recenzirano
“The biggest change in my scientific working environment in the past 10 years has been moving to China, a country that I never got chance to explore in the past … I chose chemistry as a career ...because I liked playing with LEGO® in my childhood. Now I'm just doing the same thing on the molecular level …” Find out more about Andrew Sue in his Introducing … Profile.
Programme's divisions One complaint about the investigation is that the academic board of the Malawi College of Medicine, which is the responsible institution for the MLW under the law in Malawi, was ...not notified at the time of the allegations and the subsequent investigation and disciplinary hearing. Muula says these e-mails raised concerns among witnesses about the disciplinary investigation, and the decisions made as a result. The LSTM told Nature it was committed to "providing a safe, dignified, and inclusive working environment where every member of the community is valued and treated with respect, to ensure staff, students and partners can work towards institutional goals with shared values".
Machine learning methods are widely used for rolling bearing fault diagnosis. Most of them are based on a basic assumption that training and testing data are adequate and follow the same ...distribution. However, for bearings working under multiple working conditions, dynamic changes are inevitable and labelled vibration data are usually insufficient. To deal with the issues, a new fault diagnosis method using deformable convolutional neural network (CNN), deep long short-term memory (DLSTM) and transfer learning strategies is designed. Specifically, a model is constructed by integrating deformable CNN, DLSTM and dense layers. Among them, deformable CNN enhances the ability of standard CNNs for local feature extraction using fixed geometric structures. DLSTM further encodes the sequential information contained in the output of deformable CNN. Dense layers are applied to capture high-level features then classify the data samples as each fault type. The model is firstly pre-trained using data samples under one working condition. Then, transfer learning strategies are implemented to fine-tune the pre-trained model utilising very few samples of another working condition, enabling it to identify fault types of bearing under new condition. Experiments are conducted and results show that the presented model yields higher than comparative performance compared with state-of-the-art methods.
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