A Biologically Interfaced Evolvable Organic Pattern Classifier.

Future brain-computer interfaces will require local and highly individualized signal processing of fully integrated electronic circuits within the nervous system and other living tissue. New devices will need to be developed that can receive data from a sensor array, process these data into meaningful information, and translate that information into a format that can be interpreted by living systems. Here, the first example of interfacing a hardware-based pattern classifier with a biological nerve is reported. The classifier implements the Widrow-Hoff learning algorithm on an array of evolvable organic electrochemical transistors (EOECTs). The EOECTs' channel conductance is modulated in situ by electropolymerizing the semiconductor material within the channel, allowing for low voltage operation, high reproducibility, and an improvement in state retention by two orders of magnitude over state-of-the-art OECT devices. The organic classifier is interfaced with a biological nerve using an organic electrochemical spiking neuron to translate the classifier's output to a simulated action potential. The latter is then used to stimulate muscle contraction selectively based on the input pattern, thus paving the way for the development of adaptive neural interfaces for closed-loop therapeutic systems.

Increased nurses' anxiety disorder during the COVID-19 outbreak.

BACKGROUND: The rapid outbreak of COVID-19 at the beginning of 2020 in the world has put severe physical and psychological pressure on the medical staff of hospitals involved in the care of patients with COVID-19 to the point of risk of PTSD. There was. The aim of this study was to investigate the relationship between the prevalence of COVID-19 and nurses' anxiety disorder. METHODS: This review study was conducted by library method. RESULTS: As is well known and mentioned everywhere in cyberspace, nurses have lost their mental health and become very anxious during the COVID-19. Serious spread of traumatic psychiatric symptoms in the current situation can lead to damage to the health system. CONCLUSIONS: The need to care for nurses to relieve fatigue for several months and inject hope and motivation into this group should be understood, But due to the economic situation of the country, unfortunately, the fulfillment of the promises has been delayed, which we hope will be fulfilled soon; Although the delay will certainly not prevent nurses from properly caring for patients, but resolving nurses 'livelihood problems should also be a priority on the authorities' agenda.

Targeted Chemotherapy of Glioblastoma Spheroids with an Iontronic Pump.

Successful treatment of glioblastoma multiforme (GBM), the most lethal tumor of the brain, is presently hampered by (i) the limits of safe surgical resection and (ii) "shielding" of residual tumor cells from promising chemotherapeutic drugs such as Gemcitabine (Gem) by the blood brain barrier (BBB). Here, the vastly greater GBM cell-killing potency of Gem compared to the gold standard temozolomide is confirmed, moreover, it shows neuronal cells to be at least 104-fold less sensitive to Gem than GBM cells. The study also demonstrates the potential of an electronically-driven organic ion pump ("GemIP") to achieve controlled, targeted Gem delivery to GBM cells. Thus, GemIP-mediated Gem delivery is confirmed to be temporally and electrically controllable with pmol min-1 precision and electric addressing is linked to the efficient killing of GBM cell monolayers. Most strikingly, GemIP-mediated GEM delivery leads to the overt disintegration of targeted GBM tumor spheroids. Electrically-driven chemotherapy, here exemplified, has the potential to radically improve the efficacy of GBM adjuvant chemotherapy by enabling exquisitely-targeted and controllable delivery of drugs irrespective of whether these can cross the BBB.