Results 141 to 150 of about 2,309 (295)
Design of Subsea Vertical Tree for 500 m Depth Water
Shiyou jixie, 2018 Subsea tree is the key equipment for deepwater oil and gas development. To sort out and extract the latest research progress and achievements of the subsea tree and to guide the design and development of related domestic products, the technical status of
Sun Chuanxuan +5 more
doaj
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
, 2015 We show that for spaces $A$ that satisfy a certain smallness condition, there is a Lawvere theory $T_A$ so that a space $X$ has the structure of a $T_A$-algebra if and only if $X$ is weakly equivalent to a mapping space out of $A$. In particular, spheres localized at a set of primes satisfy this condition.
openaire +2 more sources
Workpiece localization : theory, algorithms and implementation [PDF]
, 1999 Workpiece localization refers to the following problem: assuming a rigid workpiece is arbitrarily fixtured to a work table, determine the position and orientation of the workpiece frame relative to some known world reference frame.
Chu, Yunxian
core
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Local Duality for Sparse Support Vector Machines
IEEE Transactions on Pattern Analysis and Machine IntelligenceDue to the rise of cardinality minimization in optimization, sparse support vector machines (SSVMs) have attracted much attention lately and show certain empirical advantages over convex SVMs. A common way to derive an SSVM is to add a cardinality function such as $\ell_0$-norm to the dual problem of a convex SVM.
Penghe Zhang, Naihua Xiu, Houduo Qi
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Modeling and analysis of high -speed machining of aerospace alloys [PDF]
, 2002 The objective of this study is to develop scientific tools for predicting microscopic and macroscopic quantities in machining and thereby analyze the high speed face milling of aerospace alloys using popular cutting tool materials.
Rao, Balkrishna C
core
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source