Results 101 to 110 of about 1,544,180 (301)

Murine Typhus in Austin, Texas, USA, 2008

open access: yesEmerging Infectious Diseases, 2010
In August 2008, Texas authorities and the Centers for Disease Control and Prevention investigated reports of increased numbers of febrile rash illnesses in Austin to confirm the causative agent as Rickettsia typhi, to assess the outbreak magnitude and ...
Jennifer Adjemian   +7 more
doaj   +1 more source

Introducing Preservice STEM Teachers to Computer Science: A Narrative of Theoretically Oriented Design [PDF]

open access: yes, 2018
This paper narrates the process of designing a curricular unit that serves to introduce preservice science, technology, engineering, and mathematics (STEM) teachers to computer science (CS) education.
Harron, Jason
core   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

Who Are the Farmers Participating in a Carbon Sequestration Program? Results of a Discrete Choice Experiment in Germany

open access: yesAgribusiness, EarlyView.
ABSTRACT Agricultural soils offer great potential for carbon sequestration through humus formation. One way to motivate farmers to build up humus is through humus programs. These are still at an early stage of development, poorly explored, and the number of participating farmers is low. Our aim is to explain the heterogeneity of farmers' willingness to
Julia B. Block   +2 more
wiley   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana   +9 more
wiley   +1 more source

Austin, dehydroaustin and other metabolites from Penicillium brasilianum

open access: yesQuímica Nova, 2010
A culture of P. brasilianum, isolated from soil collected at the Serra do Cipó National Park, in Minas Gerais State (Brazil), was grown for 25 days on a dextrose-peptone-salts medium.
Betânia T. M. Schürmann   +2 more
doaj   +1 more source

Stroud, Austin, and Radical Skepticism [PDF]

open access: yes, 2016
Is ruling out the possibility that one is dreaming a requirement for a knowledge claim? In “Philosophical Scepticism and Everyday Life” (1984), Barry Stroud defends that it is. In “Others Minds” (1970), John Austin says it is not.
Carvalho, Eros Moreira de   +1 more
core  

Short‐Term Outcomes of Robot‐Assisted Versus Laparoscopic Colectomy for Colon Cancer: A Propensity Score‐Matched Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study compared short‐term outcomes of robot‐assisted versus laparoscopic colectomy for colon cancer using 1:1 propensity score matching. Among 218 matched pairs, robot‐assisted colectomy was associated with reduced blood loss, fewer conversions to open surgery, lower overall complication rates, and shorter hospital stays, despite longer operative ...
Akira Inoue   +9 more
wiley   +1 more source

A multiscale Bayesian optimization framework for process and material codesign

open access: yesAIChE Journal, EarlyView.
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley   +1 more source

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

open access: yesAIChE Journal, EarlyView.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman   +3 more
wiley   +1 more source

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