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Traffic congestion and environmental pollution restrain the high-quality development of cities and the improvement of residents’ living quality. A transit-oriented-development (TOD) model that integrates transportation with land use is key to solving the abovementioned problems. This study uses mechanism analysis to investigate the relationship between transportation and land use, analyzes the differences between TOD and conventional models regarding land use patterns and population distribution, and investigates the population distribution characteristics of the TOD model and its coupling relationship with transportation. Moreover, the current status and problems of TOD in China are analyzed through case study, indicating that the implications, development goals, and paths of TOD models vary for different scenarios. Additionally, a reasonable urban spatial structure is proposed comprising urban spatial structures at three levels: urban agglomerations, metropolitan and downtown areas, and rail transit stations and their surrounding areas. The basic ideas, planning and design principles, and implementation paths for the deep integration of the proposed structure with transportation are explored. Furthermore, we suggest that measures should be taken in terms of management planning, laws and policies, standards and specifications, benefit distribution, planning approval, incentive mechanism, and public participation, thereby providing support for TOD model application and for improving urban construction.

Prostate carcinoma represents a predominant malignancy affecting the male population, with androgen deprivation therapy (ADT) serving as a critical therapeutic modality for advanced disease states, but it often leads to the development of resistance. Enzalutamide (Enz), a second‐generation antiandrogen drug, initially offers substantial therapeutic benefit, but its efficacy wanes as drug resistance ensues. In this study, we found that synaptotagmin 4 (SYT4) is an upregulated gene in enzalutamide‐resistant (EnzR) cell lines. The downregulation of SYT4, in combination with enzalutamide therapy, substantially enhances the antiproliferative effect on resistant prostate cancer cells beyond the capacity of enzalutamide monotherapy. SYT4 promotes vesicle efflux by binding to the synaptosome‐associated protein 25 (SNAP25), thereby contributing to cell resistance against enzalutamide. The elevated expression of SYT4 is mediated by bromodomain‐containing protein 4 (BRD4), and BRD4 inhibition effectively suppressed the expression of SYT4. Treatment with a therapeutic dose of enzalutamide combined with ASO‐1, an antisense oligonucleotide drug targeting SYT4, shows promising results in reversing the resistance of prostate cancer to enzalutamide. [ABSTRACT FROM AUTHOR]

The rapid development of small and medium-sized logistics enterprises has also revealed potential credit risk issues. Based on this, this paper constructs a system dynamics model to simulate the key factors affecting the credit risk of small and medium-sized logistics enterprises. Firstly, the paper analyzes the factors affecting the credit risk of small and medium-sized logistics enterprises from multiple aspects such as industry characteristics and sources of risk, and constructs an index system for these factors. Secondly, the paper uses the system dynamics method to build a mechanism model of credit risk for small and medium-sized logistics enterprises, and deeply analyzes the factors affecting the mechanism of these enterprises. Finally, through simulation analysis of examples, the paper identifies key risk factors and proposes effective control measures to improve the overall credit risk situation of small and medium-sized logistics enterprises. [ABSTRACT FROM AUTHOR]

Covalent organic frameworks (COFs) provide a molecular platform for designing a novel class of functional materials with well‐defined structures. A crucial structural parameter is the linkage, which dictates how knot and linker units are connected to form two‐dimensional polymers and layer frameworks, shaping ordered π‐array and porous architectures. However, the roles of linkage in the development of ordered π electronic structures and functions remain fundamental yet unresolved issues. Here we report the designed synthesis of COFs featuring four representative linkages: hydrazone, imine, azine, and C=C bonds, to elucidate their impacts on the evolution of π electronic structures and functions. Our observations revealed that the hydrazone linkage provides a non‐conjugated connection, while imine and azine allow partial π conjugation, and the C=C bond permits full π‐conjugation. Importantly, the linkage profoundly influences the control of π electronic structures and functions, unraveling its pivotal role in determining key electronic properties such as band gap, frontier energy levels, light absorption, luminescence, carrier density and mobility, and magnetic permeability. These findings highlight the significance of linkage chemistry in COFs and offer a general and transformative guidance for designing framework materials to achieve electronic functions. [ABSTRACT FROM AUTHOR]

Helicenes are a class of fascinating chiral helical molecules with rich chemistry developed continuously over the past 100 years. Their helical, conjugated, and twisted structures make them attractive for constructing molecular systems. However, studies over the past century are mainly focused on synthesizing helicenes with increased numbers of aromatic rings and complex heterostructures, while research on inorganic, organic, and polymeric helicene materials is still embryonic. Herein, we report the first examples of helicene covalent organic frameworks, i.e. [7]Helicene sp2c‐COF‐1, by condensing [7]Helicene dialdehyde with trimethyl triazine via the C=C bond formation reaction under solvothermal conditions. The resultant [7]Helicene sp2c‐COF‐1 exhibits prominent X‐ray diffraction peaks and assumes a highly ordered 2D lattice structure originated from the twisted configuration of [7]Helicene unit. The C=C linked [7]Helicene sp2c‐COF‐1 materials exhibited extended π conjugation and broadly tuned their absorption, emission, redox activity, photoconductivity, and light‐emitting activity, demonstrating rich multifunctionalities and great potentials in developing various applications. This work opens a way to a new family of COFs as well as helicene materials, enabling the exploration of unprecedented π architectures and properties. [ABSTRACT FROM AUTHOR]

The accurate detection of collapsed buildings is of great significance for post-disaster rescue and reconstruction. High-resolution optical images are important data sources for identifying collapsed buildings, and the identification accuracy mainly depends on the features extracted from the images. However, existing research lacks a comprehensive screening and general evaluation of the ability of remote sensing features to detect collapsed buildings, and there is still a considerable gap in the operational process of rapid identification of collapsed buildings in remote sensing. Based on 2630 pairs of building samples distributed in 6 regions worldwide, this study evaluated the ability of 25 remote sensing features (including spectral and spatial features) to detect collapsed buildings and select the most capable ones. Then, we test the application effect of selected features in identifying collapsed buildings on large-scale remote sensing images. Based on the two experiments above, an operational process for rapid identification of collapsed buildings was suggested. The result shows that Homogeneity, Energy, Local Entropy, Local Standard Deviation, and Gradient can effectively and stably distinguish collapsed buildings from non-collapsed buildings (Jeffries-Matusita distances are greater than 1.59 and Transformed Divergences are greater than 1.60) and have high recognition accuracy for collapsed buildings on large-scale remote sensing images (F1-scores are 0.71–0.94). In addition, Contrast, Local Coefficient of Variation, Edge Density, and Global Entropy can also distinguish collapsed buildings from non-collapsed buildings at a normal level (Jeffries-Matusita distances are 1.14–1.28, and Transformed Divergences are 1.24–1.48), while Gradient Orientation Entropy, Fractal Dimension, Local Binary Patterns, Edge, Local Mean, Correlation, Gradient Orientation Standard Deviation, Global Coefficient of Variation, Gabor feature, Local Moran'I, and six spectral features have relatively weak abilities (Jeffries-Matusita distances are less than 0.73, and Transformed Divergences are less than 1.07). The selected remote sensing features can support rapid identification of potential collapsed building areas from post-disaster remote sensing images. [ABSTRACT FROM AUTHOR]

A luminescent trimethylamine (TMA) sensor, PTMA-Ir, has been designed and synthesized through immobilizing a phosphorescent iridium(III) complex on a TMA-imprinted polymer. Detailed study shows that the quenching of phosphorescence of PTMA-Ir can serve as a reporter for the binding of TMA on the imprinting sites, thus providing a sensitive, selective, and rapid detection of TMA in both aqueous solutions and gaseous states. Loading PTMA-Ir on filter paper produced a deposition T-Ir, the phosphorescence of which is quenched within 5 s upon exposure to TMA vapor with detection limits of 9.0 ± 0.1 ppm under argon and 15.0 ± 0.1 ppm in an air atmosphere. This work provided an effective method for establishing an imprinting polymer-immobilized luminescent amine sensor. [ABSTRACT FROM AUTHOR]

Cytomegalovirus (CMV) reactivation is the most frequent viral infectious complication correlating to non‐relapse mortality after allogeneic haematopoietic cell transplantation (alloHCT). The intrinsic anti‐CMV immunity has not been completely elucidated. γδ T‐cells have drawn increasing attentions due to their distinct biological features and potential ability against viral infections. Previous studies reported a general association of γδ T‐cells or Vδ2‐negative γδ T‐cells with CMV reactivation. Whereas researches for the direct responses and specific functions of γδ T subsets remain limited, especially in the scenario of alloHCT. Herein, we initially demonstrated that Vδ1+ T‐cells directly and independently recognized cell‐free CMV and CMV‐infected target cells, and inhibited CMV replication in vitro. The anti‐CMV effect of Vδ1+ T‐cells was partially through TCRγδ, TLR2 and NKG2D receptor pathways. Further investigation about the anti‐CMV characteristics of Vδ1+ T‐cells was performed in a clinical cohort with different CMV reactivation status after alloHCT. We found that occasional CMV reactivation remarkably increased the recovery levels and stimulated the functional activity of Vδ1+ T‐cells. Whereas disability of Vδ1+ T‐cells was observed upon refractory CMV reactivation indicating the differential responses of Vδ1+ T‐cells under different CMV reactivation status. CXCL10 and IFN‐β that were dramatically induced by occasional CMV reactivation could re‐activate the deficient Vδ1+ T‐cells from recipients with refractory CMV reactivation. These findings unveiled the distinct activities of Vδ1+ T‐cells in anti‐CMV immunity after alloHCT and may help develop novel strategies for the treatment of CMV infectious diseases. [ABSTRACT FROM AUTHOR]