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DESCRIPTION OF LACTOBACILLUS SUANTSAII SP. NOV. Lactobacillus suantsaii (suan.tsai′ i. N.L. neut. n. suantsaium suan-tsai, the name of a traditional fermented mustard green product in Taiwan; N.L. gen. n. suantsaii of suan-tsai, from which the type strain was isolated). Cells are Gram-stain-positive, catalase and oxidase negative, rod-shaped (0.5--0.6×1.1--7.5 µm), and facultatively anaerobic. Colonies are approximately 2 mm in diameter, with a smooth to rough surface, circular to slightly irregular after 2 days at 37 Ǫ C on MRS agar plates. Homofermentative; no gas is produced from glucose. Both L- (65 %) and D- lactate (35 %) are produced as end products from glucose. In MRS broth, growth occurs at 10--37 Ǫ C, but not at 45 Ǫ C. Growth occurs at pH 4.0--7.0, but no growth at pH 8.0. Growth occurs in the presence of 1.0–2.0 % (w/v) NaCl, but not in the presence of 9 % (w/v) NaCl. Ammonia is not produced from arginine. Nitrate is not reduced. Indole, H 2 S and urease are not produced. Acetoin is produced. Gelatin and aesculin are not hydrolysed. Acid is produced from L- arabinose, D- galactose, D- glucose, D- fructose, N -acetylglucosamine, maltose and gluconate. Acid is not produced from glycerol, erythritol, D- arabinose, L- xylose, D- adonitol, methyl b- D- xylopyranoside, D- mannose, L- sorbose, L- rhamnose, dulcitol, inositol, D- mannitol, D- sorbitol, methyl a- D- mannopyranoside, methyl a- D- glucopyranoside, amygdalin, arbutin, salicin, cellobiose, lactose, melibiose, trehalose, inulin, melezitose, raffinose, arbutin, glycogen, xylitol, gentiobiose, turanose, D- lyxose, D- tagatose, D- fucose, L- fucose, D- arabitol, L- arabitol, and 2- or 5-ketogluconate. Esterase, esterase lipase, valine aminopeptidase, cystine aminopeptidase, trypsin, naphthol-AS-BIphosphohydrolase, a- galactosidase, b- galactosidase, b- glucuronidase, a- glucosidase and b- glucosidase are produced. Cells do not contain meso -diaminopimelic acid in their cell-wall peptidoglycan. The peptidoglycan type is A4a (L- Lys-D- Asp), with the presence of alanine (Ala), aspartic acid (Asp), glutamic acid (Glu) and lysine (Lys) in a molar ratio of 0.5: 1.0: 3.0: 1.0. The major cellular fatty acids are C 16: 0, C 18: 1 Ɯ 9 c, and C 18: 1 Ɯ 7 c and/or C 18: 1 Ɯ 6 c. The type strain is L88 T (=BCRC 12945 T =NBRC 113535 T), which was isolated from suan-tsai, a traditional fermented mustard green, in Hsinchu county, Taiwan, ROC. The DNA G+C content of the type strain is 51.1 mol%.

DESCRIPTION OF LACTOBACILLUS SUANTSAII SP. NOV. Lactobacillus suantsaii (suan.tsai��� i. N.L. neut. n. suantsaium suan-tsai, the name of a traditional fermented mustard green product in Taiwan; N.L. gen. n. suantsaii of suan-tsai, from which the type strain was isolated). Cells are Gram-stain-positive, catalase and oxidase negative, rod-shaped (0.5--0.6��1.1--7.5 ��m), and facultatively anaerobic. Colonies are approximately 2 mm in diameter, with a smooth to rough surface, circular to slightly irregular after 2 days at 37 �� C on MRS agar plates. Homofermentative; no gas is produced from glucose. Both L- (65 %) and D- lactate (35 %) are produced as end products from glucose. In MRS broth, growth occurs at 10--37 �� C, but not at 45 �� C. Growth occurs at pH 4.0--7.0, but no growth at pH 8.0. Growth occurs in the presence of 1.0���2.0 % (w/v) NaCl, but not in the presence of 9 % (w/v) NaCl. Ammonia is not produced from arginine. Nitrate is not reduced. Indole, H 2 S and urease are not produced. Acetoin is produced. Gelatin and aesculin are not hydrolysed. Acid is produced from L- arabinose, D- galactose, D- glucose, D- fructose, N -acetylglucosamine, maltose and gluconate. Acid is not produced from glycerol, erythritol, D- arabinose, L- xylose, D- adonitol, methyl b- D- xylopyranoside, D- mannose, L- sorbose, L- rhamnose, dulcitol, inositol, D- mannitol, D- sorbitol, methyl a- D- mannopyranoside, methyl a- D- glucopyranoside, amygdalin, arbutin, salicin, cellobiose, lactose, melibiose, trehalose, inulin, melezitose, raffinose, arbutin, glycogen, xylitol, gentiobiose, turanose, D- lyxose, D- tagatose, D- fucose, L- fucose, D- arabitol, L- arabitol, and 2- or 5-ketogluconate. Esterase, esterase lipase, valine aminopeptidase, cystine aminopeptidase, trypsin, naphthol-AS-BIphosphohydrolase, a- galactosidase, b- galactosidase, b- glucuronidase, a- glucosidase and b- glucosidase are produced. Cells do not contain meso -diaminopimelic acid in their cell-wall peptidoglycan. The peptidoglycan type is A4a (L- Lys-D- Asp), with the presence of alanine (Ala), aspartic acid (Asp), glutamic acid (Glu) and lysine (Lys) in a molar ratio of 0.5: 1.0: 3.0: 1.0. The major cellular fatty acids are C 16: 0, C 18: 1 �� 9 c, and C 18: 1 �� 7 c and/or C 18: 1 �� 6 c. The type strain is L88 T (=BCRC 12945 T =NBRC 113535 T), which was isolated from suan-tsai, a traditional fermented mustard green, in Hsinchu county, Taiwan, ROC. The DNA G+C content of the type strain is 51.1 mol%., Published as part of Liou, Jong-Shian, Huang, Chien-Hsun, Wang, Chun-Lin, Lee, Ai-Yun, Mori, Koji, Tamura, Tomohiko, Watanabe, Mizuki, Blom, Jochen, Huang, Lina & Watanabe, Koichi, 2019, Lactobacillus suantsaii sp. nov., isolated from suan-tsai, a traditional Taiwanese fermented mustard green, pp. 1484-1489 in International Journal of Systematic and Evolutionary Microbiology 69 (5) on pages 1488-1489, DOI: 10.1099/ijsem.0.003346, http://zenodo.org/record/6223872

Figure S7. Box plots of three inflammation cytokines. (PDF 377â kb)

Figure S2. Principal coordinate analysis (PCoA) based on the UniFrac distance values. (PDF 414â kb)

Figsure S3-S5. Correlation networks for 61 genera at three sample collection times. (PDF 2498â kb)

Tables S14 and S15. Table S14: P-values between the Type 1 and Type 2 groups; Table S15: P-values between between any two collection times for each type Table. (PDF 430â kb)

Table S17. Participantâ s lifestyle. (PDF 89â kb)

Table S1. Exclusion criteria. (PDF 76â kb)

Table S10. Means of 26 predictive functional modules between the Type 1 and Type 2 fecal samples. (PDF 209â kb)

Figure S1. The differences of microbial diversity between the type 1 and 2 groups. (PDF 331â kb)

Figure S6. Percentage of the number of correlation change between SB and S7; SB and S28. (PDF 232â kb)

Table S18. Percentage of fecal samples and mean relative abundance of SMB53, Bulleidia, and Akkermansia. (PDF 176â kb)

Table S3. Descriptive statistics of richness and Shannon diversity index. (PDF 184â kb)

Many power plants use blend coals to replace design coal for burning due to economic reasons. These blend coals are usually blended by two types of off-design coal, so there is a need to select the off-design coals and to optimize the blend ratio. In this process, an important problem is how to estimate the properties of the blend coal, especially for the softening temperature (ST) of coal ash. To deal with this issue, this article combined support vector machines (SVM) and genetic algorithms (GA) to predict coal ash's softening temperature (ST) from a given ash composition. An SVM model was built for predicting the ST of coal ash, and its parameters were optimized using GA. The SVM model was trained and verified using experimental data from 12 coal samples and subsequently was tested using data from 17 blended coal samples. The results confirmed the validity of the SVM model, which accurately predicted the ST for all these coal samples. Based on the SVM model, a coal-blending system was developed for a g...

A direct methodology for solving the seismic intensity of each point on the capacity curve is proposed. By utilizing the procedure, a continuous curve between the structural response and the seismic intensity, the structural response function, can be easily generated. Unlike previous procedures that search for the performance point of a determined seismic intensity, the proposed methodology easily draws the full curve without iterations. The procedure is applicable to both a smooth design spectrum and an actual response spectrum. Examples indicate the methodology is accurate and fast, and convenient to be combined with existing procedures, such as Modal Pushover Analysis.

The dynamics of a semiconductor laser with two optical feedbacks is studied in this paper. A new set of nonlinear rate equations that can describe external cavity semiconductor lasers with any amount of two optical feedbacks is proposed. It is found that when the laser is biased above the threshold and subjected to one feedback, the other feedback can induce low-frequency fluctuations.

We propose a set of single mode rate equations for multi-section distributed feedback (DFB) lasers. On the basis of the rate equations, the self-pulsation in the two-section DFB lasers with asymmetrical injection current was explained. It was found that the dynamic distribution of the power in two sections play key role in the self-pulsation running.

We demonstrate a new kind of instability of the external cavity semiconductor laser. In some parameter regimes, the external cavity system will produce short and strong optical pulses in aperiodic intervals. This instability also shows low-frequency characteristics.

Sepiella maindroni is a high-valued cuttlefish, which is one of the most favorite Chinese seafoods. When stimulated, the cuttlefish squirts out ink which is of interest as it offers an excellent model for understanding melanin formation. The peculiar ink defence system of the cuttlefish S. maindroni is based on the activity of the highly specialized ink gland which continuously produces insoluble black melanin pigment that is stored in the ink sac (Palumbo et al. 1994; Palumbo 2003; Fiore et al. 2004). Construction of cDNA library provides basic information for finding relevant genes and identifying their functions. A cDNA library can be used not only to screen the target genes required, but also to express the genes (Clifton and Mitreva 2009; Frentiu et al. 2009; Luo et al. 2010). Expressed sequence tags (ESTs) are necessary resources for gene discovery and for the development of polymorphic DNA markers, such as microsatellites and single nucleotide polymorphisms (SNP). (D’Agostino et al. 2007; Malde and Jonassen 2008). Significant EST resources have been developed for many aquaculture species including mollusks such as Crassostrea gigas, C. virginica, Argopecten irradians, Tegillarca granosa and Pinctada martensii. However, there is no information available for cephalopods in ESTs database. For organisms with poor genetic background, the ease and relative economy of partial sequencing of cDNA library can be a highly productive way to generate a great deal of information about genetic and functional genes (Rudd 2003; Bao and Lin 2010). The aim of this study was to create a cDNA library for the analysis of ESTs and to indentify genes related to melanogenesis.

BACKGROUND: The diagnosis of Kikuchi-Fujimoto disease (KFD) is challenging for a paediatrician. Recognizing unusual clinical presentations and features of KFD is essential for doctors to obtain a thorough understanding of this clinical entity. METHOD: We reported a case recently diagnosed in our ward with manifestation of recurrent thrombocytopenia and Mobitz type II atrioventricular block, which is very unusual in childhood KFD. We also used three powerful Chinese Journal Search Engines (Cqvip.com, Wanfang.data and ScienceChina) to search the cases reported in China from 1989 to 2006. RESULTS: One hundred seventy-three patients younger than 16 years old with pathologic proof of KFD were identified. Among them, 138 cases with detailed clinical records from eight different provinces and cities were analyzed, and of which 97 patients were followed-up for average of 10 years and the outcomes are discussed. CONCLUSIONS: KFD is characterized by a spectrum of distinctive features, but also a variety of systemic manifestations. A hyperimmune reaction to unidentified agents as well as an autoimmune component may play an important role in this disease. Early corticosteroid therapy may improve the long-term prognosis of KFD in children.

The article proposes an increment algorithm of survey signal of differential transducer, which in industrial parameter surveys of pressure, strain, displacement and so on, may directly figure out the temperature value according to the differential transducer survey signal, without increasing the temperature survey electric circuit. The algorithm principle is according to the differential transducer two observed values, to figure out the increment of two observed values in each sensor, then to calculate the measured temperature value according to the increment. This article, taking differential motion structure SAWR as an example, introduces the increment algorithm principle and the realization method in detail.In this paper, the principal characteristics and the disadvantages of Genetic Algorithm and BP algorithm are introduced