Pressure BioSciences Announces Initial Shipments of its Enabling, Next-Generation PCT System

Pressure BioSciences, Inc. (PBIO) ("PBI" or the "Company") today announced the initial shipments of its recently released, next-generation pressure cycling technology ("PCT")-based instrument, the Barocycler 2320EXTREME (the "2320EXT"). A key component to the study's success will be the maximization of the breadth of biomolecular analytes revealed and measured, and the quality and reproducibility of the results generated using the tools chosen by ProCan for both the sample preparation and analytical portions of the study.

DARPA Cyber Grand Challenge AI Will Prevail

Next month Las Vegas will host the Final Event of the DARPA Cyber grand Challenge as an all-computer cyber-defence Capture the Flag tournament. From an initial field of over 100 applicant seven teams will compete for the $3.5 million prize pool. Reproducibility is a key aspect of a sound scientific design. While perfect system state replay is impossible without a full system event recorder, DECREE has been designed to allow high determinism and reproducibility given a record of software and inputs. This reproducibility property has been built into DECREE from kernel modifications up through the entire platform stack.

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  • Where next for the reproducibility agenda in computational biology?

    The concept of reproducibility is a foundation of the scientific method. With the arrival of fast and powerful computers over the last few decades, there has been an explosion of results based on complex computational analyses and simulations. The reproducibility of these results has been addressed mainly in terms of exact replicability or numerical equivalence, ignoring the wider issue of the reproducibility of conclusions through equivalent, extended or alternative methods.

    ACM | The TOMS Initiative and Policies for Replicated Computational Results (RCR)

    TOMS accepts manuscripts for an additional, and presently optional, review of computational results. This Replicated Computational Results (RCR) review is focused solely on replicating any computational results that are included in a manuscript. If the results are successfully replicated, the manuscript receives a special RCR designation when published. This page outlines the TOMS policies for determining the RCR designation.

    New Study Calls the Reliability of Brain Scan Research Into Question

    When functional magnetic resonance imaging (fMRI) was introduced in the late 1990s, it drew raves for its ability to show brain activity—and concerns that it might be the modern equivalent of phrenology. Now, that debate could spring to life again with revelations that the popular imaging technology could have been flawed for years. As Kate Lunau writes for Motherboard, new research suggests that software used to analyze fMRI results could invalidate up to 40,000 brain activity studies.

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  • samExploreR: Exploring reproducibility and robustness of RNA-seq results based on SAM files

    Data from RNA-seq experiments provide us with many new possibilities to gain insights into biological and disease mechanisms of cellular functioning. However, the reproducibility and robustness of RNA-seq data analysis results is often unclear. This is in part attributed to the two counter acting goals of (a) a cost efficient and (b) an optimal experimental design leading to a compromise, e.g., in the sequencing depth of experiments.

    Show and tell: disclosure and data sharing in experimental pathology

    Reproducibility of data from experimental investigations using animal models is increasingly under scrutiny because of the potentially negative impact of poor reproducibility on the translation of basic research. Histopathology is a key tool in biomedical research, in particular for the phenotyping of animal models to provide insights into the pathobiology of diseases. Failure to disclose and share crucial histopathological experimental details compromises the validity of the review process and reliability of the conclusions. We discuss factors that affect the interpretation and validation of histopathology data in publications and the importance of making these data accessible to promote replicability in research.

    Springer Nature is Introducing a Standardized Set of Research Data Sharing Policies

    We want to enable our authors to publish the best research and maximize the benefit of research funding, which includes achieving good practice in the sharing and archiving of research data. We also aim to facilitate authors’ compliance with institution and research funder requirements to share data. Encourage publication of more open and reproducible research.

    MRI software bugs could upend years of research

    A whole pile of "this is how your brain looks like" MRI-based science has been invalidated because someone finally got around to checking the data. The problem is simple: to get from a high-resolution magnetic resonance imaging scan of the brain to a scientific conclusion, the brain is divided into tiny "voxels." Software, rather than humans, then scans the voxels looking for clusters. In this paper at PNAS, they write: "the most common software packages for fMRI analysis (SPM, FSL, AFNI) can result in false-positive rates of up to 70%. These results question the validity of some 40,000 fMRI studies and may have a large impact on the interpretation of neuroimaging results."

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