Results 71 to 80 of about 1,003,291 (283)

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

open access: yesFEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane   +11 more
wiley   +1 more source

SUPPORT VECTOR MACHINE FOR HYDRAULIC SUPPORT RELIABILITY PREDICTION

open access: yesJixie qiangdu, 2017
In order to enhance the competitiveness of the domestic hydraulic support. It is imperative to carry out reliability engineering. The reliability evaluation of the hydraulic support in service can effectively provide reference for the development and ...
DING Fei   +3 more
doaj  

KLASIFIKASI SMS SPAM MENGGUNAKAN SUPPORT VECTOR MACHINE

open access: yesPilar Nusa Mandiri, 2019
It is now common for a cellphone to receive spam messages. Great number of received messages making it difficult for human to classify those messages to Spam or no Spam.
Agus Setiyono, Hilman F Pardede
doaj   +1 more source

Suboptimal Solution Path Algorithm for Support Vector Machine [PDF]

open access: yes, 2011
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimization problems in machine learning.
Karasuyama, Masayuki, Takeuchi, Ichiro
core   +1 more source

Mass spectrometry based identification of AMP‐O‐Tris generated by Thermococcus onnurineus Cas10

open access: yesFEBS Open Bio, EarlyView.
Isolated Thermococcus onnurineus Cas10 generates the noncanonical ATP‐derived product AMP‐O‐Tris while in Tris‐containing buffer as identified via mass spectrometry, revealing relaxed nucleophile selectivity under isolated conditions. These findings suggest that multiprotein Csm complex assembly restricts Cas10 reactivity toward canonical cyclic ...
Su‐Jin Lee   +6 more
wiley   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu   +10 more
wiley   +1 more source

Support vector machine-based classification of schizophrenia patients and healthy controls using structural magnetic resonance imaging from two independent sites.

open access: yesPLoS ONE, 2020
Structural brain alterations have been repeatedly reported in schizophrenia; however, the pathophysiology of its alterations remains unclear. Multivariate pattern recognition analysis such as support vector machines can classify patients and healthy ...
Maeri Yamamoto   +8 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

Support vector machine to criminal recidivism prediction [PDF]

open access: yesInternational Journal of Electronics and Telecommunications
Internal security of the state is one of the prerequisites for sustainable development. To ensure the public safety and personal security of citizens, it is necessary to develop effective measures to reduce crime and prevent crime in the future.
Olha Kovalchuk   +3 more
doaj   +1 more source

An Exponential Lower Bound on the Complexity of Regularization Paths

open access: yes, 2012
For a variety of regularized optimization problems in machine learning, algorithms computing the entire solution path have been developed recently. Most of these methods are quadratic programs that are parameterized by a single parameter, as for example ...
Gärtner, Bernd   +2 more
core   +2 more sources

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