Deep residual networks for crystallography trained on synthetic data.

The use of artificial intelligence to process diffraction images is challenged by the need to assemble large and precisely designed training data sets. To address this, a codebase called Resonet was developed for synthesizing diffraction data and training residual neural networks on these data. Here, two per-pattern capabilities of Resonet are demonstrated: (i) interpretation of crystal resolution and (ii) identification of overlapping lattices.

Effects of sgRNAs, Promoters, and Explants on the Gene Editing Efficiency of the CRISPR/Cas9 System in Chinese Kale.

The CRISPR/Cas9 system is extensively used for plant gene editing. This study developed an efficient CRISPR/Cas9 system for Chinese kale using multiple sgRNAs and two promoters to create various CRISPR/Cas9 vectors. These vectors targeted and in Chinese kale protoplasts and cotyledons.

CRISPR/Cas9-mediated BoaAOP2s editing alters aliphatic glucosinolate side-chain metabolic flux and increases the glucoraphanin content in Chinese kale.

Glucoraphanin (GRA) is an aliphatic glucosinolate (GSL), and its hydrolysis product has powerful anticancer activity. ALKENYL HYDROXALKYL PRODUCING 2 (AOP2) gene, encodes a 2-oxoglutarate-dependent dioxygenase, which can catalyze GRA to form gluconapin (GNA). However, GRA only present in trace amounts in Chinese kale.

Safety of SGLT2 Inhibitors in Three Chronic Diseases.

This study aimed to assess the safety of SGLT2 inhibitors in type 2 diabetes, chronic kidney disease, and chronic heart failure considering the number needed to treat (NNT).Methods: Data were obtained from 10 morbidity-mortality trials and were pooled to calculate the NNTs. The number needed to treat to benefit (NNTB) is used to express beneficial outcomes, whereas the number needed to treat to be harmed (NNTH) is used for harmful outcomes.

Effect of renin-angiotensin-aldosterone system inhibitors on all-cause mortality and major cardiovascular events in patients with diabetes: A meta-analysis focusing on the number needed to treat and minimal clinical effect.

Aims: To assess the effectiveness of renin-angiotensin-aldosterone system (RAAS) inhibitors, angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs) separately to prevent all-cause mortality, myocardial infarction (MI), stroke and heart failure (HF) in patients with diabetes considering the number needed to treat (NNT) and minimal clinical effect (MCE).

Methods: Data from 17 morbidity-mortality trials in patients with diabetes were used to calculate NNTs and evaluate MCE to prevent all-cause mortality, myocardial infarction, stroke, and heart failure.

Results: A total of 17 trials involving 42,037 patients were included in this meta-analysis.

KnowPulse: A Web-Resource Focused on Diversity Data for Pulse Crop Improvement.

KnowPulse (https://knowpulse.usask.ca) is a breeder-focused web portal for pulse breeders and geneticists.

Sirt3-Mediated Autophagy Contributes to Resveratrol-Induced Protection against ER Stress in HT22 Cells.

Endoplasmic reticulum (ER) stress occurring in stringent conditions is critically involved in neuronal survival and death. Resveratrol is a non-flavonoid polyphenol that has neuroprotective effects against many neurological disorders. Here, we investigated the potential protective effects of resveratrol in an ER stress model mimicked by tunicamycin (TM) treatment in neuronal HT22 cells.