We present our previous and current work on the parallel particle-mesh language PPML—a DSL for parallel numerical simulations using particle methods and hybrid particle-mesh methods in scientific computing.

Stable, accurate, divergence-free simulation of magnetized supersonic turbulence is a severe test of numerical MHD schemes and has been surprisingly difficult to achieve due to the range of flow conditions present. Here we present a new, higher order-accurate, low dissipation numerical method which requires no additional dissipation or local ”fixes” for stable execution. We describe PPML, a loc...

Promyelocytic leukemia (PML) is a cell-growth suppressor, and PML-retinoic acid receptor α (PML-RARα) is known as a fusion gene of acute promyelocytic leukemia (APL). Studies have reported that neutrophil elastase(NE) cleaved bcr-1-derived PML-RARα in early myeloid cells leading to the removal of nuclear localization signal (NLS) from PML. The resultant PML without NLS named PML(NLS(-)). PML(NL...

Confidence intervals using robust PPML-standard errors are too small in cross-section gravity models. Monte Carlo simulations indicate approximately correct coverage rates of jackknife and percentile bootstrap confidence intervals. Those constrained PPML estimates reliable, if trade costs non-stochastic.

We present our previous and current work on the parallel particle-mesh language PPML—a DSLfor parallel numerical simulations using particle methods and hybrid particle-mesh methods inscientific computing.

The goal of this project is to augment clinician communication by connecting it to evidence-based research, providing explicit knowledge to corroborate the experiential knowledge shared between health care practitioners. The source of tacit knowledge sharing is the Pediatric Pain Mailing List (PPML), a forum for practicing clinicians to contact peers on the subject of pain in children. The mess...

Shen, Cheng Xue, WanliWhile Internet of Things (IoT) can benefit from machine learning by outsourcing model training on the cloud, user data exposure to an untrusted cloud service provider pose threat privacy. Recently, federated is proposed as approach for privacy-preserving (PPML) IoT, while its practicability remains unclear. This work presents evaluation efficiency and privacy performance a...

With the increasing adoption of data-hungry machine learning algorithms, personal data privacy has emerged as one key concerns that could hinder success digital transformation. As such, Privacy-Preserving Machine Learning (PPML) received much attention from both academia and industry. However, organizations are faced with dilemma that, on hand, they encouraged to share enhance ML performance, b...

The authors describe a case of primary progressive multifocal leukoencephalopathy (pPML). Unlike previous similar reports, our patient underwent up-to-date and extensive in vivo and post-mortem investigations that established beyond doubt the competence of his immune system and the absence of underlying predisposing disorders. The various implications of this case, both clinical and related to ...

abstract since the islamic revolution of 1987, iran has been affected by economic sanctions imposed by western countries, especially the u.s. since 2006 and with the development of the iranian nuclear conflict, the united nations has frequently imposed economic and financial sanctions against iran. as a result of these international restrictions and their administration by an international orga...