Exploring the relationship between the built environment and block vitality based on multi-source big data: an analysis in Shenzhen, China

Improving the vitality of cities has long been considered an important goal of planning. However, people’s understanding of how complex and diverse built environment factors affect urban vitality is still limited. In recent years, the emergence of new data provides a new perspective for the study of urban vitality. In this article, the spatio-temporal variation of urban vitality was quantitatively measured by using Baidu heat map, and the influence of built environment factors on urban vitality is further analyzed by geographically weighted regression model. The analysis was conducted at the block level, taking into account differences between weekdays and weekends. The results show that Shenzhen presents a vitality pattern of three centers and two sub-centers, and the average vitality level of weekdays is higher than that of weekends. Distance to subway station, road density, residential density, land mixed use, and compactness have significant influence on block vitality, but the influence varies from block to block, showing strong spatial heterogeneity. Commercial facility density and floor space ratio show significance only on weekends and weekdays, respectively. The findings reveal that we need to take regional differences into consideration and develop more targeted urban planning policies to facilitate block vitality.</p

Image_3_Comparison of O-RADS with the ADNEX model and IOTA SR for risk stratification of adnexal lesions: a systematic review and meta-analysis.tiff

PurposeThis study aims to systematically compare the diagnostic performance of the Ovarian-Adnexal Reporting and Data System with the International Ovarian Tumor Analysis Simple Rules and the Assessment of Different NEoplasias in the adneXa model for risk stratification of ovarian cancer and adnexal masses.MethodsA literature search of online databases for relevant studies up to July 2023 was conducted by two independent reviewers. The summary estimates were pooled with the hierarchical summary receiver-operating characteristic model. The quality of the included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies–2 and the Quality Assessment of Diagnostic Accuracy Studies-Comparative Tool. Metaregression and subgroup analyses were performed to explore the impact of varying clinical settings.ResultsA total of 13 studies met the inclusion criteria. The pooled sensitivity and specificity for eight head-to-head studies between the Ovarian-Adnexal Reporting and Data System and the Assessment of Different NEoplasias in the adneXa model were 0.96 (95% CI 0.92–0.98) and 0.82 (95% CI 0.71–0.90) vs. 0.94 (95% CI 0.91–0.95) and 0.83 (95% CI 0.77–0.88), respectively, and for seven head-to-head studies between the Ovarian-Adnexal Reporting and Data System and the International Ovarian Tumor Analysis Simple Rules, the pooled sensitivity and specificity were 0.95 (95% CI 0.93–0.97) and 0.75 (95% CI 0.62–0.85) vs. 0.91 (95% CI 0.82–0.96) and 0.86 (95% CI 0.76–0.93), respectively. No significant differences were found between the Ovarian-Adnexal Reporting and Data System and the Assessment of Different NEoplasias in the adneXa model as well as the International Ovarian Tumor Analysis Simple Rules in terms of sensitivity (P = 0.57 and P = 0.21) and specificity (P = 0.87 and P = 0.12). Substantial heterogeneity was observed among the studies for all three guidelines.ConclusionAll three guidelines demonstrated high diagnostic performance, and no significant differences in terms of sensitivity or specificity were observed between the three guidelines.</p

SB epitope prediction of single amino acid mutations in white and East Asian populations.

A. Average epitope numbers of 50 missense mutations. B. Correlation analysis between average epitope numbers and mutation rates.</p

High-Throughput Screening of Rattling-Induced Ultralow Lattice Thermal Conductivity in Semiconductors

Thermoelectric (TE) materials with rattling model show ultralow lattice thermal conductivity for high-efficient energy conversion between heat and electricity. In this work, by analysis of the key spirit of the rattling model, we propose an efficient empirical descriptor to realize the high-throughput screening of ultralow thermal conductivity in a series of semiconductors. This descriptor extracts the structural information of rattling atoms whose bond lengths with all the nearest neighboring atoms are larger than the sum of corresponding covalent radiuses. We obtain 1171 candidates from the Materials Project (MP) Database that contains more than 100 000 materials. Combining the empirical equation of high-throughput computation with a machine learning algorithm, we compute the approximate lattice thermal conductivities (κL) and find the κL values of 532 materials are less than 2.0 W m–1 K–1 at 300 K, which can be regarded as the criteria of ultralow κL in general. In particular, we demonstrate that halide double perovskites structures show ultralow κL, which provides valuable references for promising low κL materials in future experiments. In order to further verify our computational results, we calculate accurate κL for Rb2SnBr6 and CsCu3O2 as candidates with the low lattice thermal conductivity by solving the phonon Boltzmann transport equation. In particular, we demonstrate that Rb2SnBr6 has the lowest κL value of 0.1 W m–1 K–1 at 300 K of all known thermal conductivity materials with the rattling model so far

Additional file 1 of Reduction of autofluorescence in whole adult worms of Schistosoma japonicum for immunofluorescence assay

Additional file 1: Figure S1. Autofluorescence of different channels of female and male schistosomes treated with tris-glycine (Gly) or ammonia/ethanol (AE). Scale-bar: 1000 μm

SB epitope prediction of CTAs in white and East Asian populations.

A. Average epitope numbers of 6 CTAs. B. Linear analysis between average epitope numbers and antigen lengths. The linear equations and R square values are given in the figure.</p

Image_2_Comparison of O-RADS with the ADNEX model and IOTA SR for risk stratification of adnexal lesions: a systematic review and meta-analysis.tiff

PurposeThis study aims to systematically compare the diagnostic performance of the Ovarian-Adnexal Reporting and Data System with the International Ovarian Tumor Analysis Simple Rules and the Assessment of Different NEoplasias in the adneXa model for risk stratification of ovarian cancer and adnexal masses.MethodsA literature search of online databases for relevant studies up to July 2023 was conducted by two independent reviewers. The summary estimates were pooled with the hierarchical summary receiver-operating characteristic model. The quality of the included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies–2 and the Quality Assessment of Diagnostic Accuracy Studies-Comparative Tool. Metaregression and subgroup analyses were performed to explore the impact of varying clinical settings.ResultsA total of 13 studies met the inclusion criteria. The pooled sensitivity and specificity for eight head-to-head studies between the Ovarian-Adnexal Reporting and Data System and the Assessment of Different NEoplasias in the adneXa model were 0.96 (95% CI 0.92–0.98) and 0.82 (95% CI 0.71–0.90) vs. 0.94 (95% CI 0.91–0.95) and 0.83 (95% CI 0.77–0.88), respectively, and for seven head-to-head studies between the Ovarian-Adnexal Reporting and Data System and the International Ovarian Tumor Analysis Simple Rules, the pooled sensitivity and specificity were 0.95 (95% CI 0.93–0.97) and 0.75 (95% CI 0.62–0.85) vs. 0.91 (95% CI 0.82–0.96) and 0.86 (95% CI 0.76–0.93), respectively. No significant differences were found between the Ovarian-Adnexal Reporting and Data System and the Assessment of Different NEoplasias in the adneXa model as well as the International Ovarian Tumor Analysis Simple Rules in terms of sensitivity (P = 0.57 and P = 0.21) and specificity (P = 0.87 and P = 0.12). Substantial heterogeneity was observed among the studies for all three guidelines.ConclusionAll three guidelines demonstrated high diagnostic performance, and no significant differences in terms of sensitivity or specificity were observed between the three guidelines.</p

Dynamic Geometry and Kinetics of Polymer Confined in Self-Assembly via Cooperative Hydrogen Bonding: A Solid-State NMR Study under Paramagnetic Doping

Dynamic Geometry and Kinetics of Polymer Confined in Self-Assembly via Cooperative Hydrogen Bonding: A Solid-State NMR Study under Paramagnetic Dopin

HLA class I restricted epitopes prediction of common tumor antigens in white and East Asian populations: Implication on antigen selection for cancer vaccine design

Tumor antigens processed and presented by human leukocyte antigen (HLA) Class I alleles are important targets in tumor immunotherapies. Clinical trials showed that presence of CD8+ T cells specific to tumor associated antigens (TAAs) and tumor neoantigens is one of the main factors resulting in tumor regression. Affinity prediction of tumor antigen epitopes to HLA is an important reference index for peptide selection, which is highly individualized. In this study, we selected 6 CTAs (cancer-testis antigens) commonly used in cancer immunotherapy and top 95 hot mutations from the Cancer Genome Atlas for analyzing potential epitopes with high affinities to the common HLA class I molecules in white and East Asian population, respectively. The results showed that the overall difference in CTAs epitope prediction is small between the two populations. Meanwhile, there is a linear relationship between the CTAs peptide length and the relative overall epitope occurrence. However, the difference is bigger for epitopes prediction of missense mutations between the two populations. It is worth noting that, both in the two populations, the single point mutations with the highest incidences have the lowest epitope occurrences while the mutations with the highest epitope occurrences are with low mutation incidences. This may be the result of long-term selection by the host immunosurveillance. Frameshift/inframe indel mutation neoantigens are between CTAs and spot mutation neoantigens in the relationship between peptide length and predicted epitope number. Our results help provide clues for tumor antigen and epitope selection in cancer vaccine design.</div

Image_1_Comparison of O-RADS with the ADNEX model and IOTA SR for risk stratification of adnexal lesions: a systematic review and meta-analysis.tiff

PurposeThis study aims to systematically compare the diagnostic performance of the Ovarian-Adnexal Reporting and Data System with the International Ovarian Tumor Analysis Simple Rules and the Assessment of Different NEoplasias in the adneXa model for risk stratification of ovarian cancer and adnexal masses.MethodsA literature search of online databases for relevant studies up to July 2023 was conducted by two independent reviewers. The summary estimates were pooled with the hierarchical summary receiver-operating characteristic model. The quality of the included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies–2 and the Quality Assessment of Diagnostic Accuracy Studies-Comparative Tool. Metaregression and subgroup analyses were performed to explore the impact of varying clinical settings.ResultsA total of 13 studies met the inclusion criteria. The pooled sensitivity and specificity for eight head-to-head studies between the Ovarian-Adnexal Reporting and Data System and the Assessment of Different NEoplasias in the adneXa model were 0.96 (95% CI 0.92–0.98) and 0.82 (95% CI 0.71–0.90) vs. 0.94 (95% CI 0.91–0.95) and 0.83 (95% CI 0.77–0.88), respectively, and for seven head-to-head studies between the Ovarian-Adnexal Reporting and Data System and the International Ovarian Tumor Analysis Simple Rules, the pooled sensitivity and specificity were 0.95 (95% CI 0.93–0.97) and 0.75 (95% CI 0.62–0.85) vs. 0.91 (95% CI 0.82–0.96) and 0.86 (95% CI 0.76–0.93), respectively. No significant differences were found between the Ovarian-Adnexal Reporting and Data System and the Assessment of Different NEoplasias in the adneXa model as well as the International Ovarian Tumor Analysis Simple Rules in terms of sensitivity (P = 0.57 and P = 0.21) and specificity (P = 0.87 and P = 0.12). Substantial heterogeneity was observed among the studies for all three guidelines.ConclusionAll three guidelines demonstrated high diagnostic performance, and no significant differences in terms of sensitivity or specificity were observed between the three guidelines.</p