Utilizing artificial-intelligence image recognition systems to assist in the quality control analysis of 3D printing chocolate appearance and styling after oleogel adding.

Chocolate is often used in 3D food printing, however in 3D food printing cold extrusion systems, chocolate often faces the issue of temperature-induced clumping. To address this texture alteration, the method of adding oleogels is employed. This study examines the impact of monoglycerides (MAG), sucrose fatty acid ester (SE) and hydroxypropyl methylcellulose (HPMC) oleogels on the thermal and textural properties of 3D printed white and dark chocolates.

Harnessing cell cycle intervention and evading P-glycoprotein efflux: natural product-inspired C2-aminophenyl chromones as dual modulators against multidrug-resistant cancer.

The resilience of cancer cells to current anti-neoplastic agents remains a significant challenge in oncology, underscoring the pressing requirement for novel candidates to overcome multidrug-resistant (MDR) malignancies. Building on the C2-functionalized chromone scaffold, herein, a structure-activity relationship (SAR) investigation centered on the C2-atomic bridge identified C2-aminophenyl chromone as a privileged scaffold for tumoricidal compounds. Within this chemotype, 12m and 12n emerged as promising candidates, exhibiting potent anti-proliferative activity against not only drug-sensitive KB cells (IC = 0.

Comparisons of efficacy and safety of immunotherapies for Alzheimer's disease treatment: A network meta-analysis of randomised controlled trials.

Background: Alzheimer's disease (AD) remains a major challenge due to limited effective therapies. Moreover, direct comparisons between newly developed and symptomatic drugs are lacking. This network meta-analysis aimed to compare the efficacy and safety of immunotherapies for AD.

2',6'-dihydroxy-3',4'-dimethoxydihydrochalcone counteracts cancer multidrug resistance by impeding STAT3 activation and ABC transporter-mediated drug efflux.

Multidrug resistance (MDR) is a major obstacle to current cancer treatment, driven by complex and multifaceted mechanisms. To date, no targeted therapy has been successfully developed to overcome MDR in oncology. In this study, we identify 2',6'-dihydroxy-3',4'-dimethoxydihydrochalcone (DDC) from Fissistigma cupreonitens as a potent MDR-reversing agent that simultaneously inhibits P-glycoprotein (P-gp), breast cancer resistance protein (BCRP), and multidrug resistance-associated protein 1 (MRP1) efflux activities while suppressing STAT3 phosphorylation.

Novel dihydrochalcone from Fissistigma latifolium targets STAT3 and survivin to overcome multidrug resistance cancers in vitro and in vivo.

Background: Multidrug resistance (MDR) remains a significant challenge in cancer chemotherapy, with no FDA-approved drugs currently available for its treatment. Natural chalcones, known for their diverse bioactivities, have emerged as potential therapeutic candidates.

Purpose: This study aimed to investigate the potential of 4,6-dimethoxy-2,5-quinodihydrochalcone (DODHC), a compound derived from Fissistigma latifolium, in overcoming MDR in cancer and to elucidate its underlying molecular mechanisms.

Improvement of 3D white chocolate printing molding effect with oleogels.

This study used oleogels to resolve unsolidified white chocolate in 3D printing. Because white chocolate cannot be shaped during 3D printing, the oleogel system is used to solve this problem. The printing parameters and accuracy in a 3D printing system were investigated by using different oleogels added to white chocolate as a material to enhance chocolate extrusion solidification, monoglycerides (MAG), sucrose fatty acid ester (SE) and hydroxypropyl methylcellulose (HPMC), and their effects on rheological characterization, bridging experiments, and optimal print parameters (material formulation, nozzle height, layer height and print speed) were compared.

Pinostrobin and Tectochrysin Conquer Multidrug-Resistant Cancer Cells via Inhibiting P-Glycoprotein ATPase.

Enhanced drug efflux through ATP-binding cassette transporters, particularly P-glycoprotein (P-gp), is a key mechanism underlying multidrug resistance (MDR). In the present study, we investigated the inhibitory effects of pinostrobin and tectochrysin on P-gp in MDR cancer cells and the underlying mechanisms. Fluorescence substrate efflux assays, multidrug resistance 1 (MDR1) shift assays, P-gp ATPase activity assays, Western blotting, and docking simulation were performed.

Are ESG-committed hotels financially resilient to the COVID-19 pandemic? An autoregressive jump intensity trend model.

Given that the United Nations views environmental, social, and governance (ESG) as a practical framework for anchoring responsible corporate behavior to achieve its sustainable development goals, this study constructs an autoregressive jump intensity trend (ARJI-trend) model to determine if ESG can improve future resilience and create crisis-resilient value for chained-brand hotel corporations from the effects of COVID-19. The findings indicate that the ARJI-trend model indeed captures both the permanent and transitory components of the hotel corporation's ESG performance related to stock return dynamics. When ESG rating is taken into account, the following conclusions emerge: 1) the transitory component of time-varying return variance decreases but the permanent component does not; 2) the hotel corporation portfolios with a lower transitory component experiences a higher return, implying that the hotel corporations with a higher ESG rating appear to be more defensiveness; and 3) with proper asset reallocation, a portfolio centered on strong ESG-conscious hotel corporations is a safe-haven asset during market turmoil.

Understanding how ESG-focused airlines reduce the impact of the COVID-19 pandemic on stock returns.

Incorporating environmental-social-governance (ESG) into a company's operations is an innovation strategy for contemporary businesses and a countermeasure for airline companies under COVID-19's influence. This research employs an autoregressive jump intensity trend (ARJI-trend) model to analyze the effects of COVID-19 and ESG ratings on the stock performance of the U.S.