SRI International
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Device Health Estimation by Combining Contextual Control Information with Sensor Data and Device Health Prognostics Utilizing Restricted Boltzmann Machine
Beyond real- time data collection, we aim to provide analysis capability to obtain insights from the data and converting the learnings into actionable recommendations.
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Scalable Relational Learning for Large Heterogeneous Networks
In this paper, we propose parallel collective matrix factorization (PCMF) that serves as a fast and flexible framework for joint modeling of large heterogeneous networks.
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Monitoring of Intercalation Stages in Lithium-Ion Cells Over Charge-Discharge Cycles with Fiber Optic Sensors
This paper focuses on the potential of hair-thin fiber-optic (FO) sensors to monitor intercalation stage transition points.
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Printed Gas Sensor Network for Methane Leak Detection
PARC is developing a low-cost, high-performance natural gas leak detection system based on printed nanomaterials.
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Previously Obscure Part of RNA Machinery Offers New Way of Fighting Cancer
As a medicinal chemist, I hunt for compounds that show promise as potential drugs. I moved my research program to SRI International last year from a pediatric research hospital where I had the unusual experience for a medicinal chemist of working alongside clinicians on the front line of the cancer fight. I witnessed their frustration…
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Research Brief: Springfield Public Schools’ Effective Educator Coach Program
The EEC program is a comprehensive mentoring program in which experienced teachers support new or struggling teachers.
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Keys Under Doormats
In this report, a group of computer scientists and security experts, many of whom participated in a 1997 study of these same topics, has convened to explore the likely effects of imposing extraordinary access mandates.
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Characteristics of Two-Year College students on the Autism Spectrum and Their Support Services Experiences
This study used nationally representative survey data from the National Longitudinal Transition Study-2 to describe the characteristics and services experiences of adults with autism who attended postsecondary education after high school, focusing on those who attended a 2-year college.
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Study of senone-based deep neural network approaches for spoken language recognition
This paper compares different approaches for using deep neural networks (DNNs) trained to predict senone posteriors for the task of spoken language recognition (SLR).
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Big Foot or Footprint Tracking? How Employer Footprint Shapes Education Partnerships
Critical for constructing realistic memoranda of understanding, the “footprint” perspective can help researchers critically review data from environmental scans, design realistic partnership activities and track progress.
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Challenges of Metagenomics and Single-Cell Genomics Approaches for Exploring Cyanobacterial Diversity
We briefly review current sequencing technologies and their innovative uses in genomics and metagenomics.
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Refining Measurement of Substance Use Disorders among Women of Child-Bearing Age Using Hospital Records: The Development of the Explicit-Mention Substance Abuse Need for Treatment in Women (EMSANT-W) Algorithm
This article presents the development of the Explicit Mention Substance Abuse Need for Treatment in Women (EMSANT-W), a gender-tailored tool based upon existing International Classification of Diseases, 9th Edition, Clinical Modification diagnostic code-based groupers that can be applied to hospital administrative data.