HUPSMT: AN EFFICIENT ALGORITHM FOR MINING HIGH UTILITY-PROBABILITY SEQUENCES IN UNCERTAIN DATABASES WITH MULTIPLE MINIMUM UTILITY THRESHOLDS

The problem of high utility sequence mining (HUSM) in quantitative se-quence databases (QSDBs) is more general than that of frequent sequence mining in se-quence databases. An important limitation of HUSM is that a user-predened minimum tility threshold is used commonly to decide if a sequence is high utility. However, this is not convincing in many real-life applications as sequences may have diferent importance. Another limitation of HUSM is that data in QSDBs are assumed to be precise. But in the real world, collected data such as by sensor maybe uncertain. Thus, this paper proposes a framework for mining high utility-probability sequences (HUPSs) in uncertain QSDBs (UQS-DBs) with multiple minimum utility thresholds using a minimum utility. Two new width and depth pruning strategies are also introduced to early eliminate low utility or low probability sequences as well as their extensions, and to reduce sets of candidate items for extensions during the mining process. Based on these strategies, a novel ecient algorithm named HUPSMT is designed for discovering HUPSs. Finally, an experimental study conducted in both real-life and synthetic UQSDBs shows the performance of HUPSMT in terms of time and memory consumption

Optimized extraction conditions of polysaccharides from Pseuderanthemum crenulatum (Wall. ex Lindl.) Radlk.

Polysaccharide has attracted great attentions for its benefits to human health. Polysaccharide from natural sources have diverse anti-inflammatory, anticoagulant and wound healing activities. Polysaccharide is not only valuable in medicine, also widely used in foodstuffs such as gel thickening or emulsifying agents, emulsifiers, fillers. Recently there has been an increase in the demand for polysaccharides, so research into new sources of polysaccharide with plant-based bio-activity is essential. Pseuderanthemum crenulatum (Wall. ex Lindl.) Radlk belong to genus of Pseuderanthemum. Common names (Vietnamese): Xuân hoa răng. This species is native in the forests of Vietnam. The polysaccharide content in P. crenulatum leaves was (7.47 ± 0.6) % in dry weight. The appropriate polysaccharide extraction conditions were determined: material/ water ratio (1g/25ml), extracted temperature of 60°C, extraction time 12 hours. The polysaccharide composition was purified by TCA 10%, with a purity of (55.6 ± 1.19) %.Trong những năm gần đây, polysaccharide là nhóm hợp chất rất được các nhà khoa học trên thế giới quan tâm do các tác dụng quan trọng của chúng về tăng cường miễn dịch, kháng viêm, làm lành vết thương, chống ung thư… Polysaccharide không những có giá trị trong Y học mà còn được sử dụng rộng rãi trong thực phẩm như các chất tạo độ đặc hay tạo gel, chất làm bền nhũ tương, chất độn… Hiện nay, nhu cầu sử dụng polysaccharide từ thực vật ngày càng gia tăng nên việc điều tra, khai thác nguồn polysaccharide mới có hoạt tính sinh học là rất cần thiết. Pseuderanthemum crenulatum (Wall. ex Lindl.) Radlk thuộc chi Pseuderanthemum sp, tên thông thường là cây Xuân hoa răng, là cây mọc tự nhiên trong rừng Việt nam. Trong nghiên cứu này, chúng tôi đã tách chiết, xác định hàm lượng và tinh sạch sơ bộ polysaccharide từ lá cây Pseuderanthemum crenulatum. Hàm lượng polysaccharide trong lá cây Xuân hoa răng đạt (7.47 ± 0.6) % trọng lượng khô. Các điều kiện chiết rút polysaccharide thích hợp đã được xác định: nhiệt độ chiết rút 60°C, tỷ lệ nguyên liệu/nước (1g mẫu khô/25ml nước), thời gian chiết rút 12 giờ. Chế phẩm polysaccharide đã được tinh sạch bằng TCA 10%, có độ sạch đạt (55.6 ± 1.19)%

A survey of itemset mining

Itemset mining is an important subfield of data mining, which consists of discovering interesting and useful patterns in transaction databases. The traditional task of frequent itemset mining is to discover groups of items (itemsets) that appear frequently together in transactions made by customers. Although itemset mining was designed for market basket analysis, it can be viewed more generally as the task of discovering groups of attribute values frequently cooccurring in databases. Because of its numerous applications in domains such as bioinformatics, text mining, product recommendation, e-learning, and web click stream analysis, itemset mining has become a popular research area. This study provides an up-to-date survey that can serve both as an introduction and as a guide to recent advances and opportunities in the field. The problem of frequent itemset mining and its applications are described. Moreover, main approaches and strategies to solve itemset mining problems are presented, as well as their characteristics are provided. Limitations of traditional frequent itemset mining approaches are also highlighted, and extensions of the task of itemset mining are presented such as high-utility itemset mining, rare itemset mining, fuzzy itemset mining, and uncertain itemset mining. This study also discusses research opportunities and the relationship to other popular pattern mining problems, such as sequential pattern mining, episode mining, subgraph mining, and association rule mining. Main open-source libraries of itemset mining implementations are also briefly presented. WIREs Data Mining Knowl Discov 2017, 7:e1207. doi: 10.1002/widm.120

Neutral Polysaccharide from the Leaves of Pseuderanthemum carruthersii: Presence of 3-O-Methyl Galactose and Anti-Inflammatory Activity in LPS-Stimulated RAW 264.7 Cells

Pseuderanthemum carruthersii (Seem.) Guillaumin is a native tree in Vietnam. The water extract of the leaves from this tree gives a highly viscous product that has been used to heal wounds and treat inflammations. Our previous studies showed that the leaves of P. carruthersii have a high content of polysaccharides. In this study, the structure and influence of the neutral polysaccharide from Pseuderanthemum carruthersii (PCA1) on lipopolysaccharide (LPS)-stimulated RAW264.7 cells were investigated. The PCA1 isolated from P. carruthersii is a galactan-type polysaccharide, containing galactose (77.0%), 3-O-methyl galactose (20.0%), and arabinose (3.0%). Linkage analysis of PCA1 showed that both the 3-O-methyl galactose and galactose were 1,4-linked. The presence of 3-O-methyl galactose units as part of the polysaccharide is important and can be used as a chemotaxonomic marker. The molecular weight of the PCA1 was 170 kDa. A PCA1 concentration of 30–40 μg/mL strongly inhibited TNFα, IL-1β, and IL-6 inflammatory cytokine production, and reactive oxygen species (ROS) release. PCA1 had inhibitory activities on pro-inflammatory cytokine and ROS release in LPS-stimulated mouse macrophages in vitro through MAPK signaling

Does Varicocele Repair Improve Conventional Semen Parameters? A Meta-Analytic Study of Before-After Data

Purpose: The purpose of this meta-analysis is to study the impact of varicocele repair in the largest cohort of infertile males with clinical varicocele by including all available studies, with no language restrictions, comparing intra-person conventional semen parameters before and after the repair of varicoceles. Materials and Methods: The meta-analysis was performed according to PRISMA-P and MOOSE guidelines. A systematic search was performed in Scopus, PubMed, Cochrane, and Embase databases. Eligible studies were selected according to the PICOS model (Population: infertile male patients with clinical varicocele; Intervention: varicocele repair; Comparison: intra-person before-after varicocele repair; Outcome: conventional semen parameters; Study type: randomized controlled trials [RCTs], observational and case-control studies). Results: Out of 1,632 screened abstracts, 351 articles (23 RCTs, 292 observational, and 36 case-control studies) were includ-ed in the quantitative analysis. The before-and-after analysis showed significant improvements in all semen parameters after varicocele repair (except sperm vitality); semen volume: standardized mean difference (SMD) 0.203, 95% CI: 0.129-0.278; p<0.001; I2=83.62%, Egger's p=0.3329; sperm concentration: SMD 1.590, 95% CI: 1.474-1.706; p<0.001; I2=97.86%, Egger's p<0.0001; total sperm count: SMD 1.824, 95% CI: 1.526-2.121; p<0.001; I2=97.88%, Egger's p=0.0063; total motile sperm count: SMD 1.643, 95% CI: 1.318-1.968; p<0.001; I2=98.65%, Egger's p=0.0003; progressive sperm motil-ity: SMD 1.845, 95% CI: 1.537%-2.153%; p<0.001; I2=98.97%, Egger's p<0.0001; total sperm motility: SMD 1.613, 95% CI 1.467%-1.759%; p<0.001; l2=97.98%, Egger's p<0.001; sperm morphology: SMD 1.066, 95% CI 0.992%-1.211%; p<0.001; I2=97.87%, Egger's p=0.1864. Conclusions: The current meta-analysis is the largest to date using paired analysis on varicocele patients. In the current meta-analysis, almost all conventional semen parameters improved significantly following varicocele repair in infertile patients with clinical varicocele