Suppression of carbon footprint through the CO-assisted pyrolysis of livestock waste.

Concentrated animal feeding operation facility in modern livestock industry is pointed out as a point site causing environmental pollution due to massive generation of manure. While livestock manure is conventionally treated through biological processes, composting and anaerobic digestion, these practices pose difficulties in achieving efficient carbon utilization. To address this, this study suggests a pyrolytic valorization of livestock manure, with a focus on enhancing syngas production.

Enhancing Dynamic Range in Low-Noise 2D-Integrated Organic Photodiodes by Mitigating Langevin Recombination.

Organic photodiodes (OPDs) are a significant focus for the next-generation of light-detection technologies. However, organic semiconductors in OPDs still face key challenges, such as low carrier mobilities and limited efficiency in generating photon-induced signals, which affect the detectable resolution and dynamic range. In this study, the characterization of the interaction between organic polymeric bulk heterojunctions and two-dimensional (2D) transition metal dichalcogenides (MoS) reveals an enhancement in photocurrent due to improved photogeneration dynamics (e.

The Role of the Parametric Thyroid Feedback Quantile Index in Cardiovascular Risk Evaluation Among Euthyroid Koreans.

Context: Thyroid hormones play a crucial role in metabolic regulation and maintaining cardiovascular homeostasis. The Parametric Thyroid Feedback Quantile-based Index (PTFQI) assesses central thyroid hormone sensitivity by standardizing the inverse relationship between free thyroxine (T4) and thyroid-stimulating hormone (TSH).

Objective: To investigate the relationship between PTFQI and cardiovascular risk in the euthyroid Korean population.

An ensemble model of machine learning regression techniques and color spaces integrated with a color sensor: application to color-changing biochemical assays.

Non-destructive color sensors are widely applied for rapid analysis of various biological and healthcare point-of-care applications. However, existing red, green, blue (RGB)-based color sensor systems, relying on the conversion to human-perceptible color spaces like hue, saturation, lightness (HSL), hue, saturation, value (HSV), as well as cyan, magenta, yellow, key (CMYK) and the CIE L*a*b* (CIELAB) exhibit limitations compared to spectroscopic methods. The integration of machine learning (ML) techniques presents an opportunity to enhance data analysis and interpretation, enabling insights discovery, prediction, process automation, and decision-making.

Transient activation of YAP/TAZ confers resistance to morusin-induced apoptosis.

Background: The Hippo signaling pathway involves a kinase cascade that controls phosphorylation of the effector proteins YAP and TAZ, leading to regulation of cell growth, tissue homeostasis, and apoptosis. Morusin, a compound extracted from Morus alba, has shown potential in cancer therapy by targeting multiple signaling pathways, including the PI3K/Akt/mTOR, JAK/STAT, MAPK/ERK, and apoptosis pathways. This study explores the effects of morusin on YAP activation and its implications for apoptosis resistance.