306 research outputs found

    Mining Optimized Association Rules for Numeric Attributes

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    AbstractGiven a huge database, we address the problem of finding association rules for numeric attributes, such as(BalanceāˆˆI)ā‡’(CardLoan=yes),which implies that bank customers whose balances fall in a rangeIare likely to use card loan with a probability greater thanp. The above rule is interesting only if the rangeIhas some special feature with respect to the interrelation betweenBalanceandCardLoan. It is required that the number of customers whose balances are contained inI(called thesupportofI) is sufficient and also that the probabilitypof the conditionCardLoan=yesbeing met (called theconfidence ratio) be much higher than the average probability of the condition over all the data. Our goal is to realize a system that finds such appropriate ranges automatically. We mainly focus on computing twooptimized ranges: one that maximizes the support on the condition that the confidence ratio is at least a given threshold value, and another that maximizes the confidence ratio on the condition that the support is at least a given threshold number. Using techniques from computational geometry, we present novel algorithms that compute the optimized ranges in linear time if the data are sorted. Since sorting data with respect to each numeric attribute is expensive in the case of huge databases that occupy much more space than the main memory, we instead apply randomized bucketing as the preprocessing method and thus obtain an efficient rule-finding system. Tests show that our implementation is fast not only in theory but also in practice. The efficiency of our algorithm enables us to compute optimized rules for all combinations of hundreds of numeric and Boolean attributes in a reasonable time

    The Bank-Oriented Financial System:An Empivical Study on Bank Behavior afiter the Bubble by Sui Qing-Yuan

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    One-year follow-up for the therapeutic efficacy of pregabalin in patients with leg symptoms caused by lumbar spinal stenosis

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    AbstractBackground Pregabalin is a well-accepted treatment option for patients with neuropathic pain. However, the therapeutic efficacy of pregabalin for reducing the incidence of spinal surgery to treat leg symptoms in patients with lumbar spinal stenosis remains unknown. The purpose of this study was to analyze the therapeutic efficacy of pregabalin for reducing the incidence of spinal surgery for leg symptoms in patients with lumbar spinal stenosis during the first year of treatment.Methods Consecutive patients diagnosed with lumbar spinal stenosis at our hospital from January to June 2009 were treated with nonsteroidal anti-inflammatory drug monotherapy and formed the control group (nĀ =Ā 47; 22 males, 25 females). Patients diagnosed with lumbar spinal stenosis at our hospital between August 2010 and October 2011 were treated with a nonsteroidal anti-inflammatory drug and pregabalin combination therapy and formed the pregabalin group (nĀ =Ā 49; 27 males, 22 females). The proportions of patients who underwent spinal surgery during the first year of treatment were assessed and compared between the two groups using the Mann-Whitney U test. In addition, the periods in which patients decided to undergo spinal surgery were compared using the Kaplan-Meier method.Results Six patients (12.2Ā %) in the pregabalin group and 22 patients (46.8Ā %) in the control group underwent spinal surgery during the first year of treatment (PĀ =Ā 0.0035). The period in which patients decided to undergo spinal surgery was significantly delayed in the pregabalin group compared with the control group in those for whom spinal surgery was necessary (PĀ =Ā 0.0128).Conclusions Nonsteroidal anti-inflammatory drug and pregabalin combination therapy may result in a lower incidence of spinal surgery during the first year of treatment or a delayed period before undergoing spinal surgery if necessary compared with nonsteroidal anti-inflammatory drug monotherapy in patients with leg symptoms caused by lumbar spinal stenosis

    Comparison of Value Set Based on DCE and/or TTO Data: Scoring for EQ-5D-5L Health States in Japan

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    AbstractBackgroundThe valuation study of the five-level version of the EuroQol five-dimensional questionnaire (EQ-5D-5L) involved composite time trade-off (cTTO) and a discrete choice experiment (DCE). The DCE scores must be anchored to the quality-of-life scale from 0 (death) to 1 (full health). Nevertheless, the characteristics of the statistical methods used for converting the EQ-5D-5L DCE results by using TTO information are not yet clearly known.ObjectivesTo present the Japanese DCE value set of the EQ-5D-5L and compare three methods for converting latent DCE values.MethodsThe survey sampled the general population at five locations in Japan. 1098 respondents were stratified by age and sex. To obtain and compare the value sets of the EQ-5D-5L, the cTTO and DCE data were analyzed by a linear mixed model and conditional logit, respectively. The DCE scores were converted to the quality-of-life scale by anchoring to the worst state using cTTO, mapping DCE onto cTTO, and a hybrid model.ResultsThe data from 1026 respondents were analyzed. All the coefficients in the cTTO and DCE value sets were consistent throughout all the analyses. Compared with the cTTO algorithm, the mapping and hybrid methods yielded very similar scoring coefficients. The hybrid model results, however, produced a lower root mean square error and fewer health states with errors exceeding 0.05 than did the other models. The DCE anchored to the worst state overestimated the cTTO scores of almost all the health states.ConclusionsJapanese value sets based on DCE were demonstrated. On comparing the observed cTTO scores, we found that the hybrid model was slightly superior to the simpler methods, including the TTO model

    Japanese Encephalitis Virus in Meningitis Patients, Japan

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    Cerebrospinal fluid specimens from 57 patients diagnosed with meningitis were tested for Japanese encephalitis virus. Total RNA was extracted from the specimens and amplified. Two products had highest homology with Nakayama strain and 2 with Ishikawa strain. Results suggest that Japanese encephalitis virus causes some aseptic meningitis in Japan

    Differential roles of prostaglandin E-type receptors in activation of hypoxia-inducible factor 1 by prostaglandin E1 in vascular-derived cells under non-hypoxic conditions

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    Prostaglandin E1 (PGE1), known pharmaceutically as alprostadil, has vasodilatory properties and is used widely in various clinical settings. In addition to acute vasodilatory properties, PGE1 may exert beneficial effects by altering protein expression of vascular cells. PGE1 is reported to be a potent stimulator of angiogenesis via upregulation of VEGF expression, which is under the control of the transcription factor hypoxia-inducible factor 1 (HIF-1). However, the molecular mechanisms behind the phenomenon are largely unknown. In the present study, we investigated the mechanism by which PGE1 induces HIF-1 activation and VEGF gene expression in human aortic smooth muscle cells (HASMCs) and human umbilical vein endothelial cells (HUVECs), both vascular-derived cells. HUVECs and HASMCs were treated with PGE1 at clinically relevant concentrations under 20% O2 conditions and HIF-1 protein expression was investigated. Expression of HIF- 1Ī± protein and the HIF-1-downstream genes were low under 20% O2 conditions and increased in response to PGE1 treatment in both HUVECs and HASMCs in a dose- and time-dependent manner under 20% O2 conditions as comparable to exposure to 1% O2 conditions. Studies using EP-receptor-specific agonists and antagonists revealed that EP1 and EP3 are critical to PGE1-induced HIF-1 activation. In vitro vascular permeability assays using HUVECs indicated that PGE1 increased vascular permeability in HUVECs. Thus, we demonstrate that PGE1 induces HIF- 1Ī± protein expression and HIF-1 activation under non-hypoxic conditions and also provide evidence that the activity of multiple signal transduction pathways downstream of EP1 and EP3 receptors is required for HIF-1 activation

    Essential role of gastric gland mucin in preventing gastric cancer in mice

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    äæ”州大学博士ļ¼ˆåŒ»å­¦ļ¼‰ćƒ»å­¦ä½č«–ę–‡ćƒ»å¹³ęˆ24幓3꜈31ę—„ęŽˆäøŽļ¼ˆē”²ē¬¬916号ļ¼‰ćƒ»å”ę¾¤ę–‡åÆæGastric gland mucin secreted from the lower portion of the gastric mucosa contains unique O-linked oligosaccharides (O-glycans) having terminal alpha 1,4-linked N-acetylglucosamine residues (alpha GlcNAc). Previously, we identified human alpha 1,4-N-acetylglucosaminyltransferase (alpha 4GnT), which is responsible for the O-glycan biosynthesis and characterized alpha GlcNAc function in suppressing Helicobacter pylori in vitro. In the present study, we engineered A4gnt(-/-) mice to better understand its role in vivo. A4gnt(-/-) mice showed complete lack of alpha GlcNAc expression in gastric gland mucin. Surprisingly, all the mutant mice developed gastric adenocarcinoma through a hyperplasia-dysplasia-carcinoma sequence in the absence of H. pylori infection. Microarray and quantitative RT-PCR analysis revealed upregulation of genes encoding inflammatory chemokine ligands, proinflammatory cytokines, and growth factors, such as Ccl2, Il-11, and Hgf in the gastric mucosa of A4gnt(-/-) mice. Further supporting an important role for this O-glycan in cancer progression, we also observed significantly reduced alpha GlcNAc in human gastric adenocarcinoma and adenoma. Our results demonstrate that the absence of alpha GlcNAc triggers gastric tumorigenesis through inflammation-associated pathways in vivo. Thus, alpha GlcNAc-terminated gastric mucin plays dual roles in preventing gastric cancer by inhibiting H. pylori infection and also suppressing tumor-promoting inflammation.ArticleJOURNAL OF CLINICAL INVESTIGATION. 122(3):923-934 (2012)journal articl

    Optimization of metal transfer in rutile flux-cored arc welding through controlled COā‚‚ concentration in argonā€“COā‚‚ shielding gas

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    Trinh N.Q., Le K.D., Tashiro S., et al. Optimization of metal transfer in rutile flux-cored arc welding through controlled COā‚‚ concentration in argonā€“COā‚‚ shielding gas. Journal of Manufacturing Processes 124, 590 (2024); https://doi.org/10.1016/j.jmapro.2024.06.047.In this study, we analyzed the impact of carbon dioxide concentration in argonā€“carbon dioxide shielding gas on droplet transfer characteristics in rutile flux-cored arc welding, employing titanium oxide as a primary wire flux component. The welding process was carried out at a welding current of 190, 220, 250, 280, and 310 A under an argonā€“COā‚‚ shielding gas mixture with six levels of COā‚‚ concentration of 0, 5 %, 10 %, 15 %, 20 %, and 25 % for a parametric study. Unlike the conventional solid wire welding trend, where the droplet transfer frequency decreases with the increase in carbon dioxide concentration, an increase in metal transfer frequency was observed with the increase in COā‚‚ concentration from approximately 5 % to 20 %. The concentration reaching the maximum frequency was 20 % at 190 A, which decreased as the welding current increased, reaching 5 % at 310 A. Droplet initiation at the lower sheath end is succeeded by a gradual downward movement along the flux column's side after a few milliseconds. Upon reaching the lower end, the droplet forms a neck and undergoes separation. Thus, the length of the flux column directly impacts the duration of one droplet transfer cycle. The length was decreased by arc constriction when increasing COā‚‚ concentration appropriately to concentrate beneath the flux column or by increasing the welding current to raise the arc temperature, which contributed to melting and shortening the flux column

    Label-free metabolic imaging of non-alcoholic-fatty-liver-disease (NAFLD) liver by volumetric dynamic optical coherence tomography

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    Label-free metabolic imaging of non-alcoholic fatty liver disease (NAFLD) mouse liver is demonstrated ex vivo by dynamic optical coherence tomography (OCT). The NAFLD mouse is a methionine choline-deficient (MCD)-diet model, and two mice fed MCD diet for 1 and 2 weeks are involved in addition to a normal-diet mouse. The dynamic OCT is based on repeating raster scan and logarithmic intensity variance (LIV) analysis which enables volumetric metabolic imaging with a standard-speed (50,000 A-lines/s) OCT system. Metabolic domains associated with lipid droplet accumulation and inflammation are clearly visualized three-dimensionally. Particularly, the normal-diet liver exhibits highly metabolic vessel-like structures of peri-vascular hepatic zones. The 1-week MCD-diet liver shows ring-shaped highly metabolic structures formed with lipid droplets. The 2-week MCD-diet liver exhibits fragmented vessel-like structures associated with inflammation. These results imply that volumetric LIV imaging is useful for visualizing and assessing NAFLD abnormalities
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