Superb Skin Beautifying Vegan Pesto Recipe
recipe elicits murmurs of "Mmmms" and "Ahhhs" whenever I've served it. Not only is it supremely
saritacoren
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recipe elicits murmurs of "Mmmms" and "Ahhhs" whenever I've served it. Not only is it supremely
saritacoren
4 minCheck out this EXTREME digital " Health Library " bundle. 53 digital products: Retail Value $835.32 - bundle
Pat Robinson
6 min
Published with permission from skinnychef.com Everyone now seems to know how good turmeric is for
jenniferiserloh
5 minIf you aren’t enjoying hemp seeds as a regular part of your diet, you
Elisha
4 min
If you aren't enjoying hemp seeds as a regular part of your diet, you
Elisha
4 minPURPOSE: To develop and evaluate a preparation protocol (recipe) for hydrogels with specific relaxation times and ADC values to be used as tissue-like test materials for MRI experiments at 3 Tesla. METHODS: Gd-DTPA, agarose, and soy lecithin were used as modulators for T1, T2, and ADC. First, systematic measurements were performed to determine the relaxation- and diffusion-modifying properties of the single substances and combinations of them. An algorithm was developed to determine the necessary concentrations of the ingredients to achieve predetermined sets of target values (T1, T2, and ADC). To validate this approach, hydrogels mimicking the relaxation and diffusion properties of different tissues (pancreas, white matter, fibroglandular tissue, liver, prostate) were prepared and evaluated. All measurements (relaxometry, diffusion-weighted imaging) were performed on a 3 Tesla clinical scanner at 20°C. RESULTS: The proposed method allowed the preparation of hydrogels with specific diffusion and relaxation properties by adjusting the concentrations of Gd-DTPA, agarose, and soy lecithin. Test phantoms containing hydrogels for simulation of various tissue types showed good agreement between targeted and measured properties, with deviations of less than 8% for T1, 7.5% for T2, and 11.5% for ADC. With the present approach, the properties (T1, T2, and ADC) of most known tissue classes could be well approximated; only the gray matter of the brain was slightly outside the selectable range. Temporal stability over 3 months was acceptable. CONCLUSION: This work provides a relatively simple, inexpensive, and reproducible method for the preparation of hydrogels with independently adjustable T1, T2, and ADC values at 3 T.
ETHNOPHARMACOLOGICAL RELEVANCE: Shen-Shuai-II-Recipe (SSR), a clinically effective Chinese herbal formula for chronic kidney disease (CKD) management, has shown potential anti-hypoxia and anti-fibrosis properties in rat models of CKD. However, the underlying molecular mechanisms of its renoprotection warrant further elucidation. AIM OF THE STUDY: This study investigated the mechanisms of SSR's renoprotective actions under chronic hypoxia condition of CKD. MATERIALS AND METHODS: In vivo, 5/6 renal ablation/infarction (A/I) rat models of CKD were established and administered with SSR or losartan for eight weeks. In vitro, NRK-52E cells underwent chronic hypoxia induction and were treated with SSR-medicated serum and (or) Nrf2 inhibitor (ML385). Renal hypoxia, oxidative stress, ferroptosis, and fibrosis were assessed via blood oxygenation level-dependent MRI, histopathology, colorimetry, immunoblotting, and fluorometry. RESULTS: SSR significantly suppressed oxidative stress and ferroptosis in 5/6 (A/I) kidneys, concomitant with alleviated hypoxia and fibrosis, which was associated with the up-regulated expression of Nrf2 protein. Hypoxic NRK-52E cells exhibited time-dependent increases in fibrosis and hypoxia-related proteins and suppression of the Nrf2 pathway. Furthermore, SSR significantly improved antioxidant capacity, attenuated lipid peroxidation and fibrosis in chronic hypoxia induced NRK-52E cells by activating the Keap1-Nrf2/xCT/GPX4 axis, while the effect was diminished by Nrf2 inhibition. CONCLUSIONS: SSR inhibits hypoxia-induced oxidative stress and ferroptosis to ameliorate renal fibrosis in CKD via Nrf2 activation.
Overfitting remains one of the most pervasive and deceptive pitfalls in predictive modeling. It leads to models that perform exceptionally well on training data but cannot be transferred nor generalized to real-world scenarios. Although overfitting is usually attributed to excessive model complexity, it is often the result of inadequate validation strategies, faulty data preprocessing and biased model selection, problems that can inflate apparent accuracy and compromise predictive reliability. In this second part of our series, we examine the most common yet overlooked practices that contribute to overfitting, ranging from data leakage in preprocessing to the pressures of scientific publishing that encourage result-driven overoptimization. By identifying these pitfalls and providing practical guidelines for performing robust validation protocols, this work serves as a blueprint for researchers to ensure their models are not only high-performing but also trustworthy, reproducible, and generalizable.
The directed self-assembly (DSA) of block copolymers (BCPs) offers a highly promising approach for the fabrication of contact holes or vertical interconnect access at sub-10 nm technology nodes. To fabricate circular nanoholes with precisely controlled size and positions, the self-assembly of block copolymers requires guidance from a properly designed template. Effectively parametrizing the template shape to enable efficient optimization remains a critical yet challenging problem. Moreover, the optimized template must possess excellent manufacturing capabilities for practical applications. In this work, we propose a Gaussian descriptor for characterizing the template shape with only two additional parameters by making full use of the positional parameters of the nanoholes. We further propose using AB/AB binary blends instead of pure diblock copolymer to improve the adaptability of the block copolymer system to the template shape. The Bayesian optimization (BO) is applied to co-optimize the binary blend and the template shape. Our results demonstrate that BO based on the Gaussian descriptor can efficiently yield the optimal templates for diverse multihole patterns, all leading to highly matched self-assembled morphologies. Moreover, by imposing constraints on the variation of the curvature of the template during optimization, superior manufacturability is ensured for each optimized template. It is noteworthy that each key parameter of the blend exhibits a relatively wide tunable window under the requirement of a rather high precision. Our work provides valuable insights for advancing DSA technology and thus potentially propels its practical applications forward.
OBJECTIVES: To explore the therapeutic mechanism of Recipe (JZQBR) for type 2 diabetes mellitus (T2DM) complicated with hyperlipidemia and validate its clinical efficacy and safety. METHODS: The active components and disease targets of JZQBR were screened using TCMSP and GeneCards databases, followed by protein-protein interaction analysis and GO and KEGG enrichment analyses. In the animal experiments, mice were randomized into blank control, model, simvastatin treatment, and low- and high-dose JZQBR groups. In the latter 4 groups, the mice were fed a high-fat diet for 24 weeks with corresponding treatments from Weeks 9 to 24. The changes in body weight, blood glucose, lipids, liver pathology, and inflammatory cytokine expressions of the mice were examined. In the clinical study, 72 T2DM patients with hyperlipidemia were randomized equally into control group for treatment with metformin plus empagliflozin and JZQBR group with additional JZQBR for 12 consecutive weeks. RESULTS: Network pharmacology identified 65 potential targets, with quercetin, kaempferol, and luteolin as the core components and IL-6, IL-1β, and TNF‑α as the key targets. The targets were enriched mainly in the pathways involving inflammatory responses and diabetic complications. In the mouse models, JZQBR treatment dose-dependently improved body weight, blood glucose, and blood lipid profiles, and high-dose JZQBR produced a stronger effect than simvastatin for improving hepatic steatosis and significantly reduced inflammatory cytokine levels. In the clinical trial, 29 patients in JZQBR group and 31 in the control group completed the trial. The patients in JZQBR group showed significant improvements in body weight, FBG, TG, HbA1c, and liver enzymes with significantly lower fasting blood glucose level than the control group. The total effective rates were comparable between the two groups. CONCLUSIONS: JZQBR improves T2DM complicated with hyperlipidemia possibly by multi-target regulation of the inflammation-metabolism network.
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