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Articles by Robert E. Feldmann
Hidden mass in early galaxies revealed by bottom-heavy initial mass functions
Abstract James Webb Space Telescope (JWST) observations have revealed that massive galaxies formed and evolved faster than predicted by galaxy formation models, with many having already assembled a large mass in stars approximately 12 billion years ago. However, masses of distant galaxies are uncertain, as they assume a distribution of stellar birth masses (the initial mass function (IMF)) similar to that in the Milky Way.
Selective sympathetic action on heart rate variability after ultrasound-guided stellate ganglion block
As per MR-imaging, the study also showed that the regional dissemination of the injectate includes the anatomical location of the stellate ganglion, providing the physical basis for sympathicolytic agency of the block. The current study represents the first placebo-controlled trial with healthy subjects demonstrating that the stellate ganglion can be blocked successfully without relevant simultaneous parasympathicolysis using a small volume of local anaesthetics and an ultrasound-guided approach.
A high black hole to host mass ratio in a lensed AGN in the early Universe - Nature
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Abstract Early JWST observations have uncovered a new population of red sources that might represent a previously overlooked phase of supermassive black hole growth1−−3. One of the most intriguing examples is an extremely red, point-like object that was found to be triply-imaged by the strong lensing (SL) cluster Abell 27444. Here we present deep JWST/NIRSpec observations of this object, Abell2744-QSO1.
By Lukas J. Furtak, Ivo Labbe, Adi Zitrin, Anna de Graaff, Rachel Bezanson, Gabriel Brammer, Joel Leja, Bingjie Wang, John Weaver, Ákos Bogdán, Stephane Charlot, Emma Curtis-Lake, Pieter van Dokkum, Robert E. Feldmann, Karl Glazebrook, Danilo Marchesini, Erica Nelson, Pascal Oesch, David J. Setton, Sedona H. Price
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Nature
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Modeling HI at the field level
We use an analytical forward model based on perturbation theory to predict the neutral hydrogen (HI) overdensity maps at low redshifts. We investigate its performance by comparing it directly at the field level to the simulated HI from the IllustrisTNG magneto-hydrodynamical simulation TNG300-1 (L=205 h−1 Mpc), in both real and redshift space.
The link between star formation and gas in nearby galaxies
Abstract Observations of the interstellar medium are key to deciphering the physical processes regulating star formation in galaxies. However, observational uncertainties and detection limits can bias the interpretation unless carefully modeled. Here I re-analyze star formation rates and gas masses of a representative sample of nearby galaxies with the help of multi-dimensional Bayesian modeling.
Artificial intelligence helps cut emissions and costs in cement plants
Worldwide, more than 2,200 cement plants consume enormous amounts of fuel and electric energy—and produce approximately 5 percent of all global CO₂ emissions. Cement plant owners are under intensifying pressure to curb emissions and benefit from more efficient and profitable plants. Still, they have a long way to go. Significant fluctuations and performance volatility in throughput, energy usage, and other operating parameters of up to 50 percent from average or more remain.
AI in production: A game changer for manufacturers with heavy assets
In view of the attention it has received of late, it is easy to think artificial intelligence (AI) is a new discovery. In fact, the concept appeared in the mid-1950s. Because it was ahead of the technology then available, it languished on the shelf of “interesting ideas” for years. Stay current on your favorite topics Today, artificial intelligence is commonplace.
AI in production: A game changer for manufacturers with heavy assets
Companies with heavy assets are improving throughput, energy consumption, and profit per hour with customized AI solutions. In view of the attention it has received of late, it is easy to think artificial intelligence (AI) is a new discovery. In fact, the concept appeared in the mid-1950s. Because it was ahead of the technology then available, it languished on the shelf of “interesting ideas” for years. Today, artificial intelligence is commonplace.
Inteligência artificial na produção: uma revolução para os fabricantes com ativos pesados
As empresas com ativos pesados estão melhorando a capacidade de produção, o consumo de energia e o lucro por hora com soluções customizadas de IA. Em vista da atenção recebida ultimamente, é fácil pensar que a inteligência artificial (IA) é uma descoberta nova. Na verdade, o conceito surgiu em meados da década de 1950. Por estar à frente da tecnologia disponível na época, ficou por anos na prateleira de “ideias interessantes”. Hoje, a inteligência artificial é algo corriqueiro.
Inteligencia artificial en producción: Un punto de inflexión para productores con activos pesados
Las compañías con activos pesados están mejorando su tasa de producción, el consumo de energía y las ganancias gracias a soluciones de inteligencia artificial (IA) a medida. En vista de la atención que ha recibido en los últimos tiempos, parecería que la inteligencia artificial (IA) es un nuevo descubrimiento. Pero en realidad, el concepto surgió a mediados de la década de los ’50.
Pushing manufacturing productivity to the max
Advanced analytics and lower-cost computing give companies a powerful tool for managing profitability on an hourly basis. Many companies do their best to optimize production processes using established rules of thumb or incomplete data. But at the end of the month or reporting period, they often discover sizeable gaps between actual profits and what they had expected.
Levando a produtividade na fabricação ao limite
Advanced analytics e computação de baixo custo constituem uma poderosa ferramenta para as empresas gerenciarem a lucratividade hora a hora. Muitas empresas fazem o melhor possível para otimizar os processos de produção usando apenas princípios gerais ou dados incompletos. Todavia, no final do mês ou do período contábil, muitas vezes descobrem que existe um grande descompasso entre os lucros reais e o que esperavam obter.
Pushing manufacturing productivity to the max
Advanced analytics and lower-cost computing give companies a powerful tool for managing profitability on an hourly basis. Many companies do their best to optimize production processes using established rules of thumb or incomplete data. But at the end of the month or reporting period, they often discover sizeable gaps between actual profits and what they had expected.
Buried treasure: Advanced analytics in process industries
The Internet of Things (IoT), industry 4.0, advanced analytics, digital technologies, and big data have all generated enormous hype for their potential to transform every facet of business. To date, the dialogue around these tools has focused primarily on consumer-facing industries, such as retail and financial services; on large industrial companies, such as GE; and on leading digital players, including Amazon, Google, and Netflix.
Tesouro escondido: Advanced analytics em indústrias de transformação
Para que o advanced analytics desempenhe seu pleno potencial, é necessário não apenas adquirir novas tecnologias e soluções de analytics, mas também ajudar as pessoas a aumentar sua expertise e adotar novas formas de trabalhar. Internet das Coisas (IoT), Industry 4.0, advanced analytics, tecnologias digitais, big data – tudo isso gerou uma enorme onda de entusiasmo por seu potencial de transformar todas as facetas de negócios.
Buried treasure: Advanced analytics in process industries
The full power of advanced analytics requires not only acquiring new technology and analytics solutions, but also helping people improve their expertise and adopt new ways of working. The Internet of Things (IoT), industry 4.0, advanced analytics, digital technologies, and big data have all generated enormous hype for their potential to transform every facet of business.
Non-Drug-Induced Pemphigus Foliaceus in a Patient With Rheumatoid Arthritis
From the Department of Dermatology and Venereology, Hietzing Municipal Hospital, Vienna, Austria. The term pemphigus describes a group of autoimmune blistering diseases that are histologically characterized by intraepidermal blisters caused by acantholysis.
No evidence for differential dose effects of hydrocortisone on intrusive memories in female patients with complex post-traumatic stress disorder - a randomized, double-blind, placebo-controlled, crossover study
Background: Post-traumatic stress disorder is characterized by intrusive traumatic memories. Presently, a controversial debate is ongoing regarding whether reduced cortisol secretion in post-traumatic stress disorder promotes an automatic retrieval of trauma-associated memories. Hence, a pharmacological elevation of cortisol was proposed to decrease post-traumatic stress disorder symptoms, particularly intrusions.
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