The Experience of Undocumented Individuals Denied Stem Cell Transplant for Hematologic Malignancies.

Background: Undocumented individuals with hematologic malignancies in the United States face barriers to receiving often-curative stem cell transplant (SCT), instead receiving inferior treatment with higher mortality. Federal and state policies' impact on undocumented individuals' lived experiences goes unnoticed.

Objective: To understand the experiences of this rare population of undocumented individuals with hematologic malignancies who cannot receive medically indicated SCT.

The impact of spray-induced gene silencing on cereal phyllosphere microbiota.

Background: Fusarium head blight (FHB) is a major disease affecting cereal crops including wheat, barley, rye, oats and maize. Its predominant causal agent is the ascomycete fungus Fusarium graminearum, which infects the spikes and thereby reduces grain yield and quality. The frequency and severity of FHB epidemics has increased in recent years, threatening global food security.

Abnormal cytoskeletal remodeling but normal neuronal excitability in a mouse model of the recurrent developmental and epileptic encephalopathy-susceptibility KCNB1-p.R312H variant.

Integrin_K Channel_Complexes (IKCs), are implicated in neurodevelopment and cause developmental and epileptic encephalopathy (DEE) through mechanisms that were poorly understood. Here, we investigate the function of neocortical IKCs formed by voltage-gated potassium (Kv) channels Kcnb1 and α5β5 integrin dimers in wild-type (WT) and homozygous knock-in (KI) Kcnb1 mouse model of DEE. Kcnb1 mice suffer from severe cognitive deficit and compulsive behavior.

Memristive Ion Dynamics to Enable Biorealistic Computing.

Conventional artificial intelligence (AI) systems are facing bottlenecks due to the fundamental mismatches between AI models, which rely on parallel, in-memory, and dynamic computation, and traditional transistors, which have been designed and optimized for sequential logic operations. This calls for the development of novel computing units beyond transistors. Inspired by the high efficiency and adaptability of biological neural networks, computing systems mimicking the capabilities of biological structures are gaining more attention.