Melon 3d Model Free Download [WORK]

Breast cancer is a major public health problem worldwide in women and current therapeutic strategies are not adequately effective for this deadly disease. We have previously shown the anti-proliferative activity of bitter melon extract (BME) in breast cancer cells. In this study, we observed that BME treatment induces autophagosome-bound Long chain 3 (LC3)-B and accumulates protein p62/SQSTM1 (p62) in breast cancer cells. Additionally, we observed that BME treatment in breast cancer cells increases phospho-AMPK expression and inhibits the mTOR/Akt signaling pathway. Subsequently, we demonstrated that BME feeding effectively inhibited breast cancer growth in syngeneic and xenograft mouse models. Further, we observed the increased p62 accumulation, induction of autophagy and apoptotic cell death in tumors from BME-fed animals. Taken together, our results demonstrate that BME treatment inhibits breast tumor growth, and this anti-tumor activity in breast cancer is, in part, mediated by induction of autophagy and modulation of the AMPK/mTOR pathway. The antitumor activity of BME by oral feeding in breast cancer models suggested the high potential for a clinical application.

Natural products play a critical role in the discovery and the development of numerous drugs for the treatment of various types of deadly diseases including cancer [3, 4]. Bitter melon (Momordica charantia) is extensively cultivated in Asia, Africa, and South America, and is widely used in folk medicines to treat diabetes [5]. In our previous studies, we showed that bitter melon extract (BME) exerts a strong anti-proliferative effect by inducing caspase-dependent apoptosis in breast cancer cells [6], although the in vivo effect of BME was not examined in breast cancer model.

Melon 3d Model Free Download

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Autophagy serves a dual role as a mechanism of tumor suppression and promotion of cancer growth [23]. Autophagy functions as an anti-tumor mechanism by eliminating damaged organelles/proteins and restraining cell growth and genomic instability. A growing body of evidence has delineated that several natural products induce autophagy as an anticancer therapy, suggesting a novel therapeutic target whose modulation presents new opportunities for cancer treatment [14]. To date, this is the first study to our knowledge demonstrating that BME treatment induces autophagy in breast cancer cells in vitro and preclinical models in vivo. We observed BME-mediated activation of AMPK in breast cancer cells. AMPK, an important sensor of intracellular energy levels, maintains normal energy balance by regulating cellular metabolisms in an ATP/AMP ratio-dependent manner [24]. Bitter melon treatment induces autophagic cell death in pancreatic carcinoma cells [25]. AMPK has been implicated for mechanistic modulation of autophagy by inhibiting the mTOR signaling pathway.

We have observed both apoptosis and autophagy following the treatment of BME in breast cancer cells and preclinical models. Recent study reported that Paris saponins induce anticancer activity in breast cancer cells by inducing apoptosis and autophagy [28]. Akt/mTOR signaling pathway is involved in many cellular functions including apoptosis. The function of p62 in cancer is still emerging. p62 is plays an important role in autophagy, tumor growth regulation and apoptosis [10, 18, 19]. We observed accumulation of p62 in BME treated breast cancer cells and also in tumors. We have shown previously that BME treatment induces apoptosis cell death in breast cancer cells [6]. Therefore, it is important to consider when autophagy signaling molecules are targeted as a cancer therapeutic candidate. In-depth understating of how BME induces apoptosis and autophagy require further studies.

We observed that in 4T1 and MDAMB-231 mouse models, BME treatment responded better in tumor regression as compared to E0771 mouse model. Both 4T1 and MDAMB-231 cells are triple negative breast cancer cells, whereas E0771 is an ER positive breast cancer cell line. However, we did not observe differences in cell death in MCF-7 (ER positive) and MDA-MB-231 cells in vitro. We also did not observe change in serum glucose level in BME-fed group as compared to control group and no toxicity was observed in BME-fed mice. There are several components identified as active compounds for BME with limited follow-up studies. We identified Cholesteryl -D-glucopyranoside as an active component of BME in in vitro study (unpublished data). However, efficacy of this compound is not very strong. In fact, much of the evidence in cancer chemoprevention suggests that bitter melon crude extract (mimicking the whole fruit components) has a stronger effect as compared to fractionated active components. A similar result was reported from black berry extract [29]. We should mention that AMPK activation is much higher in MDAMB-231 cells as compared to MCF-7 cells following BME treatment.

Purpose: Diabetes mellitus (DM) patients need to control their blood sugar level in order to achieve a good quality of life. This study was conducted using the health belief model (HBM), to explore the factors behind the bitter melon peptide (BMP) intake behavior and the role of self-efficacy in the model.

Materials and methods: The subjects were type 2 diabetes mellitus patients in Taiwan. A structured questionnaire was adopted from the theory of health belief model and modified specifically for this study as an instrument to survey 292 DM patients, of whom 51.03% were female, 75.68% were married, and 49.32% were aged 40 to 64 years old. The data were analyzed using t-tests, one-way ANOVA and regression.

Phenology models predict timing of events in an organism's development. For many organisms which cannot internally regulate their own temperature, development is dependent on temperatures to which they are exposed in the environment.

-This model is accurately sized to match the real object.

-Objects are grouped and named according to their real purpose, allowing the model to be rigged and animated smoothly.

-Clean and optimised topology is used for maximum polygon efficiency.

-Model is fully sub-dividable to allow Turbosmooth Iterations to increase mesh smoothness if needed.

-All textures and materials are tailored and applied for high-quality render results.

-All objects have fully unwrapped UVs.

-No extra plugins are required for this model.

-Lights and cameras are not included in the scenes.

The culinary model of bitter melon that has developed so far has been directed towards functional food and is widely processed using conventional methods that are boiled, steamed or sauted. This conventional processing method is also taught to students of the Catering Education Study Program at several universities and at the Vocational High Schools in Indonesia. This study aims to investigate the physico-chemical characteristics, especially for pectin and protein as well as organoleptic characteristics of pare fruit innovation. This research was conducted by observing and experimenting on several bitter gourd models. The results of the study revealed that the changes that occurred in the pare fruit culinary innovation were found in the processing method and product results. Results Bitter melon culinary innovations have the characteristics of a longer shelf life and are processed using conventional methods. The creativity of processing pare fruit product innovation is sourced from the study of food science and technology that has not been widely studied as a basic science in culinary learning as part of culinology. The research also revealed that bitter melon with physico-chemical characteristics high in pectin and high in protein after undergoing culinary processing did not experience significant changes. This is interesting to be used as one food source that can prevent several kinds of degenerative diseases such as coronary heart disease and cancer.

The algorithm time is not only increased but also the prediction precision of models is weakened since the volume of original spectral data of samples is enormous and large amounts of information unrelated to the measured groups are included in spectral analysis [21]. Therefore, the original spectral data shall be optimized, and effective variables of wavelengths shall be extracted.

9 feature wavelengths extracted by CARS-SPA were selected to establish the PLS prediction model for the peel brittleness of Cucumis melon, as shown in Figure 5. The prediction accuracy of the model Rp was 0.919, and the prediction RMSEP was 25.413, indicating that NIR-based technology is able to detect the peel brittleness of melons.

9 feature wavelengths above were selected, and the NIR peel brittleness kinetic model of Cucumis melons was established based on multivariate regression analysis in SAS. The model expression was shown as equation (1), while the analysis of variance in regression is shown in Table 3. The value of the regression model was less than 0.001, and the determination coefficient was 0.8503, which means that the model is of extreme significance and high precision:where is the peel brittleness value, while indicate the absorbance levels corresponding to each feature wavelength.

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The development of the global model is an important part of research involving the quality prediction of agricultural commodities using visible/near-infrared (Vis/NIR) spectroscopy due to its efficiency and effectiveness. The Vis/NIR was used in this study to develop a global model and to evaluate the sugar content and pulp color, which are the main determinants of ripeness and quality of melons. Furthermore, it also provides a comparison between linear and nonlinear regression using partial least squares regression (PLSR) and support vector machine regression (SVMR), respectively. The model accuracy was determined by ratio of performance to deviation (RPD). The results showed that there were good model accuracy values in some parameters, such as SSC (2.14), glucose (1.59), sucrose (2.31), a* (2.97), and b* (2.49), while the fructose (1.35) and L* (1.06) modeling showed poor prediction accuracy. The best model for SSC was developed using PLSR, while that of fructose, glucose, sucrose, L*, a*, and b* were obtained from SVMR. Therefore, Vis/NIR spectroscopy can be used as an alternative method to monitor sugar content and pulp color of a melon, but with some limitations, such as the low accuracy in predicting certain variables, such as the L* and fructose. 006ab0faaa