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The house price prediction problem is a typical regression problem, and most of the common house price prediction models are single prediction algorithms, which are not ideal in terms of accuracy and stability. For solving this problem, this paper proposes a house price forecasting method based on Stacking-Sorted-Weighted-Ensemble (SSWE) model. Considering the characteristics of different algorithms and giving full play to the advantages of each model, multiple individual forecasting models are fused with the Stacking model. The algorithm validation is performed using the data generated by the system of real estate management department in western Guangdong. The prediction results show that the Stacking model is superior to the single model. Compared with the Stacking regression model, the SSWE model has a 13.6% increase in the root mean square error on the training set but a 0.3% decrease on the test set, indicating that the SSWE model prevents overfitting to a some extent and increases the accuracy and stability of the model. &nbsp

Additional file 1: Supplemental Table S1. Scoring standards for the disease activity index (DAI)1,2. Supplemental Table S2. Parameters and criteria of histological damage evaluation1,2. Supplemental Table S3. Primer pairs used in this experiment1. Supplemental Figure S1. Fecal bile acids (BAs) profiles of low birth weight (LBW) and normal birth weight (NBW) piglets 2 days after birth (n = 10). Supplemental Figure S2. Verification of depletion of the intestinal microbiota in mice (n = 8). Supplemental Figure S3. Microbial structure of NBW and LBW donor piglets and NBW-FMT and LBW-FMT recipient mice. Supplemental Figure S4. Microbial composition of NBW and LBW donor piglets and NBW-FMT and LBW-FMT recipient mice. Supplemental Figure S5. Colonic BA profiles of mice transplanted with the feces of LBW or NBW piglets (n = 8). Supplemental Figure S6. Effect of UDCA on inflammatory cytokines gene expression and macrophage polarization in J774A.1 cell.

Cancer patients suffer from the toxicity of chemotherapy. Antidote, given as a remedy limiting poison, is an effective way to counteract toxicity. However, few antidotes abrogate chemotoxicity without compromising the therapeutic efficacy. Herein, a rationally designed nanoantidote can neutralize chemo-agents in normal cells but not enter tumors and thus would not interfere with the efficacy of tumor treatment. The nanoantidote, consisting of a dendrimer core wrapped by reductive cysteine, captures Temozolomide (TMZ, the glioblastoma standard chemotherapy). Meanwhile, thanks to the blood-brain barrier (BBB) and the size of the nanoantidote, the nanoantidote cannot enter glioblastoma. In murine models, the nanoantidote distributes in normal tissues without crossing the BBB, so it markedly reduces the chemotoxicity of TMZ and retains the original TMZ therapeutic efficacy. With most nanotechnologies focusing on antitumor treatment, this detoxicating strategy demonstrates a nanoplatform to reduce chemotoxicity using physiology barriers and introduces a new approach to nanomedicine for cancer chemotherapy.

Supplemental Material for How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen city by Yuyang Wu, Yao Yao, Shuliang Ren, Shiyi Zhang, and Qingfeng Gua in Environment and Planning B: Urban Analytics and City Science

Additional file 2: Figure S2. Rectal EGCG played a minimum role in the oxidative stress and colonic damage. Concentrations of T-SOD (a), CAT (b), and MDA (c) in the plasma from each group. Levels of T-AOC (d), T-SOD (e), CAT (f), GSH-px (g), and MDA (h) in the colon. Data were presented as Means ± SEM (n = 7 per group). (i) Apoptosis rate in colonic sections (n = 6 per group). (j) Representative fluorescent pictures of TUNEL staining of colonic sections. Scale bars represent 50 μm. (k) Representative images of Alcian blue stained inner mucus layer of colonic sections. Scale bars represent 50 μm. (l) Representative images for the microstructure of colonic epithelia by TEM. Data were presented as Means ± SEM. Statistical significance was determined using one-way ANOVA, followed by Turkey test. * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001.

Additional file 3. Supplemental Table 3 Sample information of experiment 2.

Additional file 7. Figure S3 Community structure difference between small intestine and large intestine following dietary fiber deprivation, xylan, ��-glucan and resistant starch intervention based on weighted bray-curtis (A) and unifrac (B) distance metrics.

Additional file 6. Figure S2 ��-diversity difference between small intestine and large intestine following xylan, ��-glucan and resistant starch intervention. D, duodenum; J, jejunum; I, ileum; C, cecum; PC, proximal colon; MC, middle colon; DC, distal colon; F, feces.

Additional file 8. Figure S4 Community structure along the gastrointestinal tract following dietary fiber deprivation, xylan ��-glucan and resistant starch intervention based on weighted bray-curtis distance metrics. FF, dietary fiber deprivation; RS, resistant starch; BG, ��-glucan, XY, xylan.

Additional file 2. Supplemental Table 2 Sample information of experiment 1.

Additional file 5. Figure S1 Experimental protocol.

Additional file 4. Full account of statistical analysis performed in R software (version 3.3.1).

Additional file 9. Figure S5 SCFA concentration within large intestine in response to different treatments. (A) SCFA concentration (��mol/ml wet digesta) within large intestine. Data are represented as means �� SD. *, P

Additional file 1: Figure S1. Rectal EGCG had a minimum effect on alleviating DSS-induced colitis. (a) Diagram illustrating the mouse model of colitis employed in this study. Rectal PBS and EGCG treatments were indicated. (b) Kinetics of DAI scores throughout the entire duration of the study. (c) Daily body weight changes throughout the entire duration of the study. Data were presented as Means ± SEM (n = 7 per group). Statistical significance was determined using one-way ANOVA, followed by Turkey test. ** P ≤ 0.01, *** P ≤ 0.001 relative to Rectal-CON group; ## P ≤ 0.01, ### P ≤ 0.001 relative to DSS + Rectal-PBS group. (d) Macroscopic pictures of colons and (e) the lengths of colon from each group (n = 7 per group). (f) Histological scores of colons (n = 6 per group) and (g) H&E stained colon sections. Concentrations of four representative pro-inflammatory cytokines, IL-1β (h), IL-6 (i), IL-8 (j), and TNF-α (k) in the plasma. Concentrations of MPO (l), IL-6 (m), and TNF-α (n) in the colon. Data were presented as Means ± SEM (n = 7 per group). Statistical significance was determined using one-way ANOVA, followed by Turkey test. * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001.

Additional file 1. Supplemental Table 1 Formulation and nutrient composition of experimental diets.

Additional file 3: Figure S3. Oral EGCG regulated the composition and function of intestinal microbiota. (a) α-diversity upon oral therapy represented by the Sobs index. (b) PCoA plots upon rectal therapy assessed by PERMANOVA. The relative abundance of fecal bacterial phyla (c), and genera (d) presented in 99.5% of the community upon rectal therapy. (e) Analysis of differences in the microbial taxa shown by LEfSe (LDA coupled with effect size measurements) upon rectal therapy. Concentrations of fecal acetate (f), propionate (g), and butyrate (h) upon rectal therapy. Data were presented as Means ± SEM (n = 7 per group). Statistical significance was determined using one-way ANOVA, followed by Turkey test. * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001. (i) Spearman Correlation between intestinal microbiota and anti-inflammatory or anti-oxidative parameters in DSS-treated mice in response to rectal EGCG. The red color denotes a positive correlation, while blue color denotes a negative correlation. The intensity of the color is proportional to the strength of Spearman correlation. * P ≤ 0.05, *** P ≤ 0.001.

A safe polymer limits the absorption of a broad spectrum of saccharides in the gut to manage metabolic disorders., Excessive carbohydrate intake is linked to the growing prevalence of diabetes, nonalcoholic fatty liver disease (NAFLD), and obesity. α-Glucosidases inhibitor, the only Food and Drug Administration–approved drug for limiting the absorption of polysaccharides and disaccharides, is ineffective for monosaccharides. Here, we develop a boronic acid–containing polymer nanocomplex (Nano-Poly-BA), absorbing all saccharides into nanocomplex with the diol/boronic acid molar ratio far above 1, to prevent saccharides’ absorption in the gut. The orally administered Nano-Poly-BA is nonabsorbable and nontoxic. When tested against four kinds of carbohydrates and three real-world foods (coke, blueberry jam, and porridge), Nano-Poly-BA shows remarkable after-meal blood glucose reductions in wild-type, type 1, and type 2 diabetic mouse models. In a NAFLD mouse model induced by fructose, Nano-Poly-BA shows substantial reduction of hepatic lipogenesis. In short, the orally administered saccharide-sequestering polymer nanocomplex may help prediabetic, diabetic, overweight, and even healthy people to manage sugar intake.

We studied the trimaran model by using Fluent to simulate the viscous flow field on different lateral distributions. Through studying the impact of the change of lateral distributions surface dynamic force, the results show that the change on distributions has a major effect on wavemaking at the midship and the stern. In comparative analysis of the resistance in different distributions, it is pointed out that a rational layout of the transverse space in a certain range has a positive effect on the resistance performance of the trimaran. The Layout of the lateral parts in front has a relative positive effect on the resistance performance in low speed while that in back is beneficial for the improving the resistance performance in high speed, and further giving out the best layout of the trimaran in different speed.

Through the Century myth of the electric propulsion ship trial experiment was carried out, respectively for the type of ship's turning performance, braking performance, and steady performance are analyzed in aspects of research, through comparing with other ways with traditional propulsion ship, according to the results above all aspects of performance is superior to the traditional ship propulsion mode. Excellent maneuverability and airworthiness, the ship for the research and development of green ships in inland water provides the research direction and development train of thought. At the same time, the type of ship's sea trial test for inland river ships new revision of the specification provides a reliable and objective data, the new specification and standard come on stage has played a great role in promoting.

There are two shortages in usual methods for agricultural land evaluation: (1) too many manual interferences into the calculating procession, (2) the relatively large differences of partial units are concealed in certain factors. We designed a hyper graph clustering model in this paper based on fuzzy frequent item sets to conduct the evaluation for quality of agricultural land. The database for land units is composed with the fuzzy feature vectors. It executes the mining association rules to the fuzzy item sets given by the definition of evaluation factors, and analyzes the clusters with the HMETIS segmentation method, finally devises the transactions similarity function to cluster the services. With the following checking example in some region in South China, it not only determines the quality rating of each units of agricultural land, but also gives the quality description for each grade.

La ville de Florence, après la décision politique d'accueillir la capitale italienne de 1865, a subi une série de renouvellements urbains dessinés par Giuseppe Poggi. Ces interventions dessinées pour une capitale italienne ne sont malheureusement pas compatibles avec la logique et l'échelle urbaines propres à la ville de Florence. L'apex de ces interventions est la piazzale Michelangelo – aussi le site de ce projet. Le projet consiste à retrouver l'esprit florentin de ce lieu. D'abord, en couvrant la grande surface de la place avec une petite forêt (env. 160 x 70 m), nous nous replongeons dans l'ambiance de cette colline avant l'introduction de la grande place. Ensuite, en creusant dans la profondeur de la terre, nous descendons au milieu du bois dans un espace mystérieux qui nous rappelle les ambiances propres à la ville de Florence. Les rues, la lumière, les ouvertures, les gens, les monuments, les idéologies urbaines de Brunneleschi ..., etc. Seul, le silence, la forêt et cet espace creusé dans la terre coexistent avec les visiteurs, une histoire mentale florentine se développe chez chacun ...