1,507 research outputs found

    Application of Fuzzy AHP and ELECTRE to China Dry Port Location Selection

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    AbstractThe selection of optimal dry ports construction projects is a process of multi-objective decision making. This paper lists 6 important factors that have influence on dry ports location selection in China according to references: transportation, economic level, infrastructure facilities, trade level, political environmen, cost. And based on these, the paper combines two optimal selection model of dry ports construction projects--Fuzzy-AHP and ELECTRE (Elimination Et Choice Translating Reality) in the New Eurasia Continental Bridges (NECB) of China region. Compared with simple quantitative or qualitative decision- making model of site selection, this model takes the fuzziness and preference of the factors affecting site selection proposals into account, which is much more suitable for decision makers making decisions to the real situation. It provides scientific reference on the reasonable distribution of dry ports, saving cost of logistics and ports construction, avoiding reduplicate port construction, and scientific site selection

    Spheroid Toxicity Assay Utilizing Magnetic 3D Bioprinting

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    Analysis of cell cultures utilizing two-dimensional (2D) spheroid assays has been the standard to analyze toxicity screenings for decades, however the high cost and inefficiencies in producing in-vitro assays using this technique creates the need for more productive and cost-efficient methods. The newly introduced Magnetic 3D Bioprinting system addresses the shortcomings of the 2D systems. This method relies on magnetizing cells and rapidly printing them in a more organized formation, mimicking in-vitro environments and interaction. This study assesses the effectiveness of Magnetic 3D Bioprinting system in analyzing spheroid toxicity assays when compared to the 2D methods, we hypothesize that the cell cultures produced utilizing this system will result in superior detail, utility, and realistic representation of the in-vitro environment. Cardiomyocytes and hepatocytes were mixed with NanoShuttle (1 u/ 10000 cells) for 2 hours to become magnetized. The cells were separated, counted, and redistributed to a cell repellent 384-well plate. The cells were left to interact to form a mature spheroid with ECM. Results showed that the cultures were successfully imaged and yielded viable spheroid samples with greater efficiency and cell interactions. After 15 minutes of printing, viability, spheroid size and cell count increased in a time dependent manner. Day 1: the surface area increased from 3.2 to 3.45 x105 pixels in 12s; by day 7 the number increased to 8.18 x 105 pixels, while showing steadying beating patterns The Magnetic 3D Bioprinting system yielded cell cultures that revealed higher levels of activity, size, and interaction in the 3D environment

    Space-borne application of GNSS reflectometry for global sea state monitoring

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    This research focuses on modelling the relationship between wind conditions, sea roughness and GNSS reflections received from Low Earth Orbit (LEO). The motivation for this study lies in the recent development of a GNSS reflections receiver platform for the UK-DMC satellite and the numerous advantages proposed GNSS Reflectometry can provide in Earth Observation and global disaster monitoring. The fIrst part of the thesis focuses on the simulation procedure of received GPS-R Delay-Doppler Map (DDM). Airborne GPS-R scatterometric model has been adapted into this space-borne application research. Aft~r deriving DDM simulations according to reflection scenario, the results of two-dimensional data-model fItting are presented and analysed. The sensitivity discussion of current GPS-R model suggests some limitations of the modelling method, especially under medium and high wind speed ranges. In the second part, we investigate the inversion scheme of DDMs for the purpose of extracting a statistical wave model empirically. The similar model structure of DDM simulation is used but the processing order is turned over. After deconvolution, DDMs are inversed back to spatial energy maps and spatial slope probability maps. Three inversion algorithms are developed and compared. Preliminary synthetic and real data experiments give evidence of the feasibility of the inversion methodology. Finally, in the third part of this research, a new geometric wave slope statistical model is discussed in the context of wave fIeld simulations. The sensitivity of obtained statistical model is discussed in terms of wind speed, wave direction and observing incident angle. This provides an alternative view point to look into the wave slope probability properties and compensate the traditional theoretic and empirical wave modelling methods. Key words: GNSS-Reflectometry, Delay-Doppler Map inversion, wind conditions, sea surface roughness, slope probability density function, statistical wave slope model.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    The Vasodilatory Effects of Anti-Inflammatory Herb Medications: A Comparison Study of Four Botanical Extracts

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    Inflammation plays a pivotal role in the development and progression of cardiovascular diseases, in which, the endothelium dysfunction has been a key element. The current study was designed to explore the vasodilatory effect of anti-inflammatory herbs which have been traditionally used in different clinical applications. The total saponins from Actinidia arguta radix (SAA), total flavonoids from Glycyrrhizae radix et rhizoma (FGR), total coumarins from Peucedani radix (CPR), and total flavonoids from Spatholobi caulis (FSC) were extracted. The isometric measurement of vasoactivity was used to observe the effects of herbal elements on the isolated aortic rings with or without endothelium. To understand endothelium-independent vasodilation, the effects of herb elements on agonists-induced vasocontractility and on the contraction of endothelium-free aortic rings exposed to a Ca2+-free medium were examined. Furthermore, the role of nitric oxide signaling in endothelium-dependent vasodilation was also evaluated. In summary, FGR and FSC exhibit potent anti-inflammatory effects compared to CPR and SAA. FGR exerts the strongest vasodilatory effect, while CPR shows the least. The relaxation induced by SAA and FSC required intact endothelia. The mechanism of this vasodilation might involve eNOS. CPR-mediated vasorelaxation appears to involve interference with intracellular calcium homeostasis, blocking Ca2+ influx or releasing intracellular Ca2+

    The Vasodilatory Effects of Anti-Inflammatory Herb Medications: A Comparison Study of Four Botanical Extracts.

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    Inflammation plays a pivotal role in the development and progression of cardiovascular diseases, in which, the endothelium dysfunction has been a key element. The current study was designed to explore the vasodilatory effect of anti-inflammatory herbs which have been traditionally used in different clinical applications. The total saponins from Actinidia arguta radix (SAA), total flavonoids from Glycyrrhizae radix et rhizoma (FGR), total coumarins from Peucedani radix (CPR), and total flavonoids from Spatholobi caulis (FSC) were extracted. The isometric measurement of vasoactivity was used to observe the effects of herbal elements on the isolated aortic rings with or without endothelium. To understand endothelium-independent vasodilation, the effects of herb elements on agonists-induced vasocontractility and on the contraction of endothelium-free aortic rings exposed to a Ca2+-free medium were examined. Furthermore, the role of nitric oxide signaling in endothelium-dependent vasodilation was also evaluated. In summary, FGR and FSC exhibit potent anti-inflammatory effects compared to CPR and SAA. FGR exerts the strongest vasodilatory effect, while CPR shows the least. The relaxation induced by SAA and FSC required intact endothelia. The mechanism of this vasodilation might involve eNOS. CPR-mediated vasorelaxation appears to involve interference with intracellular calcium homeostasis, blocking Ca2+ influx or releasing intracellular Ca2+

    Nitric Oxide and Cyclic GMP Signaling in Cancer Therapy

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    The nitric oxide-3’,5’-cyclic guanosine monophosphate signaling pathway (NO-cGMP signaling pathway) is a well-known signal transduction pathway which elicits several physiological processes including: cell proliferation, vasodilation, cardiac protection, etc. In this pathway, NO binds to the ferrous heme of histidine-105 on the prosthetic heme of the β1 subunit of soluble guanylyl cyclase, resulting in the production of cGMP. This pathway, however, is inhibited in certain cancer cells—as observed in glioma cell lines. As a result, the production of cGMP is reduced. This mechanism may facilitate uncontrolled tumor cell growth. The cancers under research—lung carcinoma, glioma, and pancreatic carcinoma—are all highly malignant cancers with low survival rates and few effective treatments. To save the lives of 213,920+ U.S. patients expected to die from these diseases, new therapies must be developed. We hypothesize that regulating the expression of sGC via pharmacology and/or genetic manipulation in the aforementioned cancers—which possess lower expression levels of subunits sGCα1 and sGCβ1—will increase cGMP synthesis. As experimental approach, the H460 human large lung cell carcinoma cell line, the PA-TU-8988 human pancreatic adenocarcinoma cell line, and the U87 human glioma cell line were cultured in 2D and 3D culture. MTT assay, qRT-PCR, Western Blot, and ImageJ analysis were utilized to assess cell proliferation, detection and quantification of genes and proteins expression, and size of colonies in 3D culture, respectively. Research is still continuing; results are not final. The expected results after treatment are: reduced cancer cell viability, enhanced sGC expression, presence of cGMP, and inhibited tumor growt

    Vasodilatory effects of cinnamaldehyde and its mechanism of action in the rat aorta

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    The vasodilatory effect of cinnamaldehyde was investigated for its mechanism of action using isolated rings of rat aorta. Cinnamaldehyde relaxed aortic rings precontracted with phenylephrine in a dose-dependent manner, was not affected by either the presence or removal of the endothelium. Pretreatment with NG-nitro-L-arginine methyl ester and 1H-[1,2,4]-oxadiazole-[4,3-a]-quinoxalin-1-one could not block vasodilation by cinnamaldehyde, indicating that nitric oxide signaling is not involved. Potassium channel blockers, such as glibenclamide, tetraethylammonium, and BaCl2, had no effect on the relaxation produced by cinnamaldehyde. In addition, treatment with either indomethacin or propranolol did not affect cinnamaldehyde-induced vasodilatation. On the other hand, pretreatment of endothelium-denuded rings with cinnamaldehyde significantly inhibited vasoconstriction induced by endogenous vasoconstrictors, including angiotensin II, 5-hydroxytryptamine, dopamine, endothelin-1, and phenylephrine. In a Ca2+-free experimental setting, this natural vasodilator not only blocked Ca2+ influx-dependent vasoconstriction by either phenylephrine or KCl, but also inhibited phenylephrine-induced tonic contraction, which relies on intracellular Ca2+ release. This study shows that endothelium-independent, Ca2+ influx and/or an inhibitory release mechanism contributes to the vasodilatory effect of cinnamaldehyde

    Stabilizing the cold plasma-stimulated medium by regulating medium’s composition

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    Over past several years, the cold plasma-stimulated medium (PSM) has shown its remarkable anti-cancer capacity in par with the direct cold plasma irradiation on cancer cells or tumor tissues. Independent of the cold plasma device, PSM has noticeable advantage of being a flexible platform in cancer treatment. Currently, the largest disadvantage of PSM is its degradation during the storage over a wide temperature range. So far, to stabilize PSM, it must be remained frozen at −80 °C. In this study, we first reveal that the degradation of PSM is mainly due to the reaction between the reactive species and specific amino acids; mainly cysteine and methionine in medium. Based on this finding, both H2O2 in PSM and the anti-cancer capacity of PSM can be significantly stabilized during the storage at 8 °C and −25 °C for at least 3 days by using phosphate-buffered saline (PBS) and cysteine/methionine-free Dulbecco’s Modified Eagle Medium (DMEM). In addition, we demonstrate that adding a tyrosine derivative, 3-Nitro-L-tyrosine, into DMEM can mitigate the degradation of PSM at 8 °C during 3 days of storage. This study provides a solid foundation for the future anti-cancer application of PSM

    Hypertensive nephropathy treatment by heart-protecting musk pill: a study of anti-inflammatory therapy for target organ damage of hypertension

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    This study was designed to investigate the protective effect of the heart-protecting musk pill (HMP) on inflammatory injury of kidney from spontaneously hypertensive rat (SHR). Male SHRs aged 4 weeks were divided into SHR model group, HMP low-dosage group (13.5 mg/kg), and HMP high-dosage group (40 mg/kg). Age-matched Wistar–Kyoto rats were used as normal control. All rats were killed at 12 weeks of age. Tail-cuff method and enzyme-linked immunosorbent assay were used to determine rat systolic blood pressure and angiotensin II (Ang II) contents, respectively. Renal inflammatory damage was evaluated by the following parameters: protein expressions of inflammatory cytokines, carbonyl protein contents, nitrite concentration, infiltration of monocytes/macrophages in interstitium and glomeruli, kidney pathological changes, and excretion rate of urinary protein. HMP did not prevent the development of hypertension in SHR. However, this Chinese medicinal compound decreased renal Ang II content. Consistent with the change of renal Ang II, all the parameters of renal inflammatory injury were significantly decreased by HMP. This study indicates that HMP is a potent suppressor of renal inflammatory damage in SHR, which may serve as a basis for the advanced preventive and therapeutic investigation of HMP in hypertensive nephropathy

    NeuralMarker: A Framework for Learning General Marker Correspondence

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    We tackle the problem of estimating correspondences from a general marker, such as a movie poster, to an image that captures such a marker. Conventionally, this problem is addressed by fitting a homography model based on sparse feature matching. However, they are only able to handle plane-like markers and the sparse features do not sufficiently utilize appearance information. In this paper, we propose a novel framework NeuralMarker, training a neural network estimating dense marker correspondences under various challenging conditions, such as marker deformation, harsh lighting, etc. Besides, we also propose a novel marker correspondence evaluation method circumstancing annotations on real marker-image pairs and create a new benchmark. We show that NeuralMarker significantly outperforms previous methods and enables new interesting applications, including Augmented Reality (AR) and video editing.Comment: Accepted by ToG (SIGGRAPH Asia 2022). Project Page: https://drinkingcoder.github.io/publication/neuralmarker
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