Results 91 to 100 of about 863,741 (284)

Posterior Disconnection Syndrome in Early‐Stage Adult‐Onset Cerebral Adrenoleukodystrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Adult‐onset cerebral adrenoleukodystrophy is potentially treatable but often difficult to recognize before advanced cerebral involvement. Herein, we describe three men with early‐stage disease who initially presented with subtle visual complaints rather than subcortical dementia. Targeted neuropsychological testing revealed higher‐order visual
Kazuto Katsuse, Takashi Matsukawa, Yumiko Nakamura, Kazuo Kakinuma, Shoko Ota, Ryo Hara, Saki Nakashima, Kaoru Ito, Yutaro Nakamori, Toshiyuki Kakumoto, Masashi Hamada, Shigenori Kanno, Kyoko Suzuki, Tatsushi Toda   +13 more
wiley   +1 more source

On demand elastic capacity planning for service auto-scaling

IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016
Cloud computing allows on demand elastic service scaling. The capability of a service to predict resource requirements for the next operational period defines how well it will exploit the elasticity of cloud computing in order to reduce operational costs.
Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan   +2 more
openaire   +2 more sources

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

Arthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases

Arthritis Care &Research, EarlyView.
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci, Megan R. W. Barber, Ann E. Clarke, Sindhu R. Johnson, Anselm Mak, Hermine I. Brunner, Murat Inanc, Rosalind Ramsey‐Goldman, Guillermo Ruiz‐Irastorza, Ellen M. Ginzler, John G. Hanly, Alexandra Legge, Cynthia Aranow, Laurent Arnaud, Nathalie Costedoat‐Chalumeau, Dafna D. Gladman, Søren Jacobsen, Michelle Petri, Clovis A. Silva, Évelyne Vinet, Alexandre E. Voskuyl, SDI Revision Literature Review Groups, SDI Revision Delphi Panel, SDI Revision Item Reduction Committee, SDI Revision Clinical Domain Groups, Ian N. Bruce   +25 more
wiley   +1 more source

Minimum-Cost Design of Auto-Scaling Server Farms Providing Reliability Guarantees

IEEE Open Journal of the Communications Society
As next-generation mobile networks increasingly rely on virtualized infrastructure to deliver critical services, ensuring both the efficiency and reliability of server farms becomes essential.
Jesus Perez-Valero, Pablo Serrano, Jaime Garcia-Reinoso, Albert Banchs, Xavier Costa-Perez   +4 more
doaj   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

Arthritis Care &Research, EarlyView.
Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures.
Kevin Byram, Heřman Mann, Danielle Hammond, Onima Chowdhury, Sinisa Savic, Yohei Kirino, Carmelo Gurnari, Maël Heiblig, Thibault Comont, Arsène Mekinian, Mrinal M. Patnaik, Lachelle D. Weeks, Gary Ho, Adam Al‐Hakim, Scott Goldberg, Marcela A. Ferrada, Sophie Georgin‐Lavialle, Peter C. Grayson, Emma M. Groarke, Bhavisha Patel, Megan Sullivan, Sarah A. Buckley, Bryan G. Harder, Raman Garcha, David B. Beck, Matthew J. Koster   +25 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Evaluation of the performance of LLMs deployments in selected cloud-based container services

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
The growing adoption of serverless container services has created challenges in selecting optimal cloud platforms for production LLM deployments, yet comparative performance evaluations remain limited.
Mateusz Stęgierski, Piotr Szpak, Sławomir Przyłucki   +2 more
doaj   +1 more source

Efficient resource provisioning for elastic Cloud services based on machine learning techniques

Journal of Cloud Computing: Advances, Systems and Applications, 2019
Automated resource provisioning techniques enable the implementation of elastic services, by adapting the available resources to the service demand. This is essential for reducing power consumption and guaranteeing QoS and SLA fulfillment, especially for
Rafael Moreno-Vozmediano, Rubén S. Montero, Eduardo Huedo, Ignacio M. Llorente   +3 more
doaj   +1 more source

auto-differentiation/XAD: v1.5.0

<h2>Added</h2> <ul> <li>Python bindings as <a href="https://pypi.org/project/xad-autodiff/">xad-autodiff</a> in https://github.com/auto-differentiation/XAD/pull/98</li> <li>Added <code>std::is_signed&
Auto Differentiation Dev Team, Xcelerit Team, Jose Melo, xcelerit-squad, dholden3   +4 more
core   +1 more source