Effect of strain on the electronic structure and polaronic conductivity of LiFePO.

Improving the electronic properties of active cathode materials can significantly impact the design of rechargeable batteries. In this study, we investigated the influence of micro-strain on the structural and electronic properties of LiFePO (LFP) by performing combined core-level spectroscopy analysis and electrical conductivity measurements. High-resolution X-ray diffraction measurements, followed by Rietveld refinement analysis, revealed an increase in unit cell parameters due to the enhanced micro-strain in the lattice structure.

Predictors of severity factors associated with severe scrub typhus among children in a Tertiary Care Hospital.

Background Objectives: Scrub typhus is an acute febrile zoonotic disease caused by the obligate intracellular gram-negative bacteria Orientia tsutsugamushi. Growing data over the last few years on the Indian subcontinent suggest that it is one of the most widespread but under-reported diseases. The study aimed to document the clinical and paraclinical profile and evaluate complications of scrub typhus in severe and nonsevere pediatric age groups.

Meta-QTL analysis for mining of candidate genes and constitutive gene network development for viral disease resistance in maize ( L.).

Viral diseases severely impact maize yields, with occurrences of maize viruses reported worldwide. Deployment of genetic resistance in a plant breeding program is a sustainable solution to minimize yield loss to viral diseases. The meta-QTL (MQTL) has demonstrated to be a promising approach to pinpoint the most robust QTL(s)/candidate gene(s) in the form of an overlapping or common genomic region identified through leveraging on different research studies that independently report genomic regions significantly associated with the target traits.

Modeling tumor dynamics and predicting response to chemo-, targeted-, and immune-therapies in a murine model of pancreatic cancer.

We seek to establish a parsimonious mathematical framework for understanding the interaction and dynamics of the response of pancreatic cancer to the NGC triple chemotherapy regimen (mNab-paclitaxel, gemcitabine, and cisplatin), stromal-targeting drugs (calcipotriol and losartan), and an immune checkpoint inhibitor (anti-PD-L1). We developed a set of ordinary differential equations describing changes in tumor size (growth and regression) under the influence of five cocktails of treatments. Model calibration relies on three tumor volume measurements obtained over a 14-day period in a genetically engineered pancreatic cancer model (KrasLSLG12D-Trp53LSLR172H-Pdx1-Cre).