Craniux: A LabVIEW-Based Modular Software Framework for Brain-Machine Interface Research

This paper presents “Craniux,” an open-access, open-source software framework for brain-machine interface (BMI) research. Developed in LabVIEW, a high-level graphical programming environment, Craniux offers both out-of-the-box functionality and a modular BMI software framework that is easily extendable. Specifically, it allows researchers to take advantage of multiple features inherent to the LabVIEW environment for on-the-fly data visualization, parallel processing, multithreading, and data saving. This paper introduces the basic features and system architecture of Craniux and describes the validation of the system under real-time BMI operation using simulated and real electrocorticographic (ECoG) signals. Our results indicate that Craniux is able to operate consistently in real time, enabling a seamless work flow to achieve brain control of cursor movement. The Craniux software framework is made available to the scientific research community to provide a LabVIEW-based BMI software platform for future BMI research and development

Organogênese indireta a partir de explantes foliares e multiplicação in vitro de brotações de Eucalyptus benthamii X Eucalyptus dunnii.

Os objetivos deste trabalho foram avaliar diferentes meios de cultura na organogênese indireta e na multiplicação in vitro de brotos de Eucalyptus benthamii x Eucalyptus dunnii. Para organogênese, explantes foliares foram excisados no sentido transversal e cultivados in vitro, sendo os seguintes fatores testados: dois meios de cultura (MS N/2 e JADS) adicionados de 0,1 ?M de ANA, duas concentrações de thidiazuron (0,1 e 0,5 ?M) e presença ou não de PVP-40 (250 mg L-1). Após 70 dias de cultivo foram avaliadas as porcentagens de explantes oxidados totalmente, formando calo, produzindo antocianina, formando gema, formando brotações e o número de brotações formadas por explante regenerando. No experimento de multiplicação, brotações isoladas foram cultivadas em meio MS, JADS e WPM, adicionados de 1,11 ?M de BAP. Foram realizados quatro subcultivos a cada 28 dias e em cada subcultivo foram avaliados: a porcentagem de oxidação, de explantes apresentando clorose total ou parcial, massa fresca e número médio de brotos por explante. O meio de cultura MS N/2 suplementado com 0,1 ?M de ANA, 0,5 ?M de TDZ e PVP-40 promoveu a maior taxa de organogênese (8,3%). No meio de cultura MS com 1,11 ?M de BAP, a taxa de multiplicação foi maior que nos outros meios, no primeiro e segundo subcultivos (9,28 e 9,24 por mês), não havendo diferença entre os três meios nos demais subcultivos

Profiling of ERBB receptors and downstream pathways reveals selectivity and hidden properties of ERBB4 antagonists

ERBB receptor tyrosine kinases are involved in development and diseases like cancer, cardiovascular, neu rodevelopmental, and mental disorders. Although existing drugs target ERBB receptors, the next gener ation of drugs requires enhanced selectivity and understanding of physiological pathway responses to improve efficiency and reduce side effects. To address this, we developed a multilevel barcoded reporter profiling assay, termed ‘ERBBprofiler’, in living cells to monitor the activity of all ERBB targets and key physiological pathways simultaneously. This assay helps differentiate on-target therapeutic effects from off-target and off-pathway side effects of ERBB antagonists. To challenge the assay, eight estab lished ERBB antagonists were profiled. Known effects were confirmed, and previously uncharacterized properties were discovered, such as pyrotinib’s preference for ERBB4 over EGFR. Additionally, two lead compounds selectively targeting ERBB4 were profiled, showing promise for clinical trials. Taken together, this multiparametric profiling approach can guide early-stage drug development and lead to improved future therapeutic interventions

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Brain–computer interfaces (BCI) (also referred to as brain–machine interfaces; BMI) are, by definition, an interface between the human brain and a technological application. Brain activity for interpretation by the BCI can be acquired with either invasive or non-invasive methods. The key point is that the signals that are interpreted come directly from the brain, bypassing sensorimotor output channels that may or may not have impaired function. This paper provides a concise glimpse of the breadth of BCI research and development topics covered by the workshops of the 6th International Brain–Computer Interface Meeting