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Social capital is closely intertwined with neighborhood environments and facility provisions. It is a vital resource for supporting residents’ happiness and satisfaction. In the context of urban stock development and the concentrated construction of community public service facilities, it remains unclear whether the spontaneous construction of facilities follows a colocation model and how facility-related construction affects residents’ quality of life. In this study, we used a questionnaire survey to analyze social capital, summarizing it into aspects such as community cohesion, social support, community trust, and sense of belonging. Then, we acquired the points of interest for facilities in Harbin, China, computed the Global Colocation Quotient (GCLQ) and Local Colocation Quotient (LCLQ), the proportion of spatial units occupied by facilities, and the Shannon diversity index, and analyzed the patterns. Aged care services, childcare centers, and community cultural services were found to have the strongest mutual attractions. Finally, an ordinary least squares model was constructed. The proportion of spatial units occupied by community public service facilities was closely related to social capital growth. In the relationship between the colocation model and social capital, LCLQ-healthcare showed a negative correlation, LCLQ-aged care and LCLQ-childcare showed a positive correlation, and LCLQ-cultural and sports showed a positive correlation with a sense of community belonging. The geographically weighted regression model indicated significant spatial heterogeneity in how facility-related construction affects social capital. This study offers a foundation and reference for the sustainable planning and development of integrated community public service facilities.

Background The tRNA-derived small RNAs (tsRNAs) are produced in a nuclease-dependent manner in responses to variety of stresses that are common in cancers. We focus on a cancer-enriched tsRNA signature to develop a salivary exosome-based non-invasive biomarker for human esophageal squamous cell carcinoma (ESCC). Methods Cancer-enriched small RNAs were identified by RNA sequencing of salivary exosomes obtained from ESCC patients ( n  = 3) and healthy controls ( n  = 3) in a pilot study and further validated in discovery cohort ( n  = 66). A multicenter prospective observational study was conducted in two ESCC high-incidence regions ( n  = 320 and 200, respectively) using the newly developed biomarker signature. Results The tsRNA (tRNA-GlyGCC-5) and a previously undocumented small RNA were specifically enriched in salivary exosomes of ESCC patients, ESCC tissues and ESCC cells. The bi-signature composed of these small RNAs was able to discriminate ESCC patients from the controls with high sensitivity (90.50%) and specificity (94.20%). Based on the bi-signature Risk Score for Prognosis (RSP), patients with high-RSP have both shorter overall survival (OS) (HR 4.95, 95%CI 2.90–8.46) and progression-free survival (PFS) (HR 3.69, 95%CI 2.24–6.10) than those with low-RSP. In addition, adjuvant therapy improved OS (HR 0.47, 95%CI 0.29–0.77) and PFS (HR 0.36, 95%CI 0.21–0.62) only for patients with high but not low RSP. These findings are consistent in both training and validation cohort. Conclusions The tsRNA-based signature not only has the potential for diagnosis and prognosis but also may serve as a pre-operative biomarker to select patients who would benefit from adjuvant therapy. Trial registration A prospective study of diagnosis biomarkers of esophageal squamous cell carcinoma, ChiCTR2000031507 . Registered 3 April 2016 - Retrospectively registered.

The optical properties [absorption coefficient (μ a ) and reduced scattering coefficient (μ′ s )] and internal qualities [moisture content (MC), and soluble solids content (SSC)] of Orah mandarin stored at 20 °C for 0–6 days were determined and and the relationship between the optical properties and different quality was explored. The SSC of Orah mandarin initially increased and then decreased, which was due to the phenomenon of low temperature saccharification. The MC remained relatively stable with a slight increase. The pulp tissue absorption coefficient (μ a ) has two absorption peaks at 500 nm and 980 nm, respectively associated with pigments and water. The exocarp tissue has an additional absorption peak at 500 nm related to color, while endocarp tissue only has one absorption peak at 980 nm related to water. The μ a spectra showed significant correlations with MC and SSC. Partial Least Squares Regression (PLSR) models for predicting the SSC and MC of Orah mandarins were established based on μ a and μ′ s spectra. The results showed that the prediction model based on μ a spectra had the best performance. The Correlation Coefficient of Prediction (Rp) and Root Mean Square Error of Prediction (RMSEP) for SSC were 0.921 and 0.549, respectively; for MC, Rp and RMSEP were 0.906 and 0.636 respectively. These results indicate the potential of using the optical properties of Orah mandarins to predict internal quality.

The Drosophila wing was proposed to be a taste organ more than 35 years ago, but there has been remarkably little study of its role in chemoreception. We carry out a differential RNA-seq analysis of a row of sensilla on the anterior wing margin and find expression of many genes associated with pheromone and chemical perception. To ask whether these sensilla might receive pheromonal input, we devised a dye-transfer paradigm and found that large, hydrophobic molecules comparable to pheromones can be transferred from one fly to the wing margin of another. One gene, Ionotropic receptor (IR)52a, is coexpressed in neurons of these sensilla with fruitless, a marker of sexual circuitry; IR52a is also expressed in legs. Mutation of IR52a and optogenetic silencing of IR52a+ neurons decrease levels of male sexual behavior. Optogenetic activation of IR52a+ neurons induces males to show courtship toward other males and, remarkably, toward females of another species. Surprisingly, IR52a is also required in females for normal sexual behavior. Optogenetic activation of IR52a+ neurons in mated females induces copulation, which normally occurs at very low levels. Unlike other chemoreceptors that act in males to inhibit male-male interactions and promote male-female interactions, IR52a acts in both males and females, and can promote male-male as well as male-female interactions. Moreover, IR52a+ neurons can override the circuitry that normally suppresses sexual behavior toward unproductive targets. Circuit mapping and Ca2+ imaging using the trans-Tango system reveals second-order projections of IR52a+ neurons in the subesophageal zone (SEZ), some of which are sexually dimorphic. Optogenetic activation of IR52a+ neurons in the wing activates second-order projections in the SEZ. Taken together, this study provides a molecular description of the chemosensory sensilla of a greatly understudied taste organ and defines a gene that regulates the sexual circuitry of the fly.

The red swamp crayfish ( ) is a globally important freshwater crustacean that exhibits pronounced sexual dimorphism, with males growing faster than females. However, the molecular mechanisms underlying sex differentiation in crustaceans remain poorly understood. In this study, Oxford Nanopore-based Direct RNA Sequencing (DRS) was employed to analyze the gonadal transcriptomes of male and female , identifying 20,001 previously unannotated genes and revealing extensive sex-specific differences in transcript structure, alternative splicing, and RNA modifications. Ovarian transcripts had shorter poly(A) tails and more frequent alternative splicing, while male gonads showed greater enrichment of m A and psU modifications in the 3' UTRs. qPCR validation confirmed the sex-biased expression of key candidate genes, including , , , , , and . Collectively, these findings provide the first comprehensive epitranscriptomic landscape of gonads, underscoring the pivotal role of post-transcriptional regulation in sex determination and offering valuable insights for mono-sex breeding strategies in aquaculture.

Poor immunogenicity and extensive immunosuppressive T-cell infiltration in the tumor immune microenvironment (TIME) have been identified as potential barriers to immunotherapy success in \"immune-cold\" breast cancers. Thus, it is crucial to identify biomarkers that can predict immunotherapy efficacy. Protein tyrosine phosphatase receptor type O (PTPRO) regulates multiple kinases and pathways and has been implied to play a regulatory role in immune cell infiltration in various cancers. ESTIMATE and single-sample gene set enrichment analysis (ssGSEA) were performed to uncover the TIME landscape. The correlation analysis of PTPRO and immune infiltration was performed to characterize the immune features of PTPRO. Univariate and multivariate Cox analyses were applied to determine the prognostic value of various variables and construct the PTPRO-related CD8 T-cell signatures (PTSs). The Kaplan-Meier curve and the receiver operating characteristic (ROC) curve were used to estimate the performance of PTS in assessing prognosis and immunotherapy response in multiple validation datasets. High PTPRO expression was related to high infiltration levels of CD8 T cells, as well as macrophages, activated dendritic cells (aDCs), tumor-infiltrating lymphocytes (TILs), and Th1 cells. Given the critical role of CD8 T cells in the TIME, we focused on the impact of PTPRO expression on CD8 T-cell infiltration. The prognostic PTS was then constructed using the TCGA training dataset. Further analysis showed that the PTS exhibited favorable prognostic performance in multiple validation datasets. Of note, the PTS could accurately predict the response to immune checkpoint inhibitors (ICIs). PTPRO significantly impacts CD8 T-cell infiltration in breast cancer, suggesting a potential role of immunomodulation. PTPRO-based PTS provides a new immune cell paradigm for prognosis, which is valuable for immunotherapy decisions in cancer patients.

The informativeness of environmental, social, and governance (ESG) scores and their actual impact on firms remains understudied. To address this gap in the literature, we make theoretical predictions and conduct empirical research revealing that a high ESG score is associated with a lower probability of ESG scandals and lower stock returns during a scandal event. Our results suggest that ESG scores are heterogeneous but informative, and that a strong ESG reputation may have both positive and negative consequences for firms. Drawing on our findings, we develop a model and showcase that firms face an optimization problem when determining optimal ESG investment levels. Two equilibria may exist based on the trade-off between ESG scandal losses and ESG adjustment costs. Our model explains why certain firms make heterogeneous ESG decisions

The emergence of novel factors, such as the energy Internet and electricity supply‐side reform within the context of the dual‐carbon target (carbon peaking and carbon neutrality), has heightened the uncertainty surrounding electricity consumption (EC). This increased uncertainty poses challenges for accurate long‐term EC forecasting. Due to the complexities of feature extraction and the absence of labelled data, conventional supervised learning‐based forecasting methods, such as support vector machines (SVM) and long short‐term memory networks (LSTM), struggle to predict EC with precision in situations of heightened uncertainty resulting from the interplay of multiple factors. To address this issue, a novel method based on a conditional generative adversarial network (CGAN) is proposed. Initially, the dominant factors influencing future electricity consumption trends through grey correlation degree analysis and the K‐L information method are identified. Subsequently, an EC forecast model is introduced based on CGAN, adept at capturing essential factors and the non‐linear relationship between EC and exogenous factors. This approach effectively models the uncertainty of EC, accurately approximating the true distribution with only a small dataset. Finally, the proposed method by forecasting China's EC from 2015 to 2020 is validated. The results demonstrate that the authors’ method achieves lower root mean square error and mean absolute percentage error values, specifically 0.177% and 2.39%, respectively, outperforming established advanced methods such as SVM and LSTM.

As a unique phenomenon of soil erosion in the granite-red-soil hilly area of southern China, Benggang has seriously affected agricultural development and regional sustainable development. However, few studies have focused on the driving factors and their interactions with Benggang erosion at the regional scale. The primary driving forces of Benggang erosion were identified by the factor detector of the geographical detector, and the interaction between factors was determined by the interaction detector of the geographical detector. The 10 conditioning driving factors included terrain, hydrology, vegetation, soil, geomorphology, and land use. Benggang erosion in Ganzhou City principally occurred in the granite-red-soil forest hill, characterized by an elevation below 400 m above sea level, slope below 25° of concavity, a distance to the gully less than 500 m, a vegetation coverage of 40–60%, and an average rainfall erosivity of 6400–7000 MJ·mm/(hm2·h·a). The key driving factors for Benggang erosion were rainfall erosivity, elevation, and land use. Moreover, the interaction of any two factors was stronger than that of a single factor, and the nonlinear enhancement factors had a stronger synergistic effect on erosion. Therefore, the comprehensive influence of many factors must be considered when predicting and preventing Benggang erosion.

Cancer vaccines critically rely on the availability of targetable immunogenic cancer‐specific neoepitopes. However, mutation‐based immunogenic neoantigens are rare or even non‐existent in subgroups of cancer types. To address this issue, we exploited a cancer‐specific aberrant transcription‐induced chimeric RNA, designated A‐PaschiRNA, as a possible source of clinically relevant and targetable neoantigens. A‐PaschiRNA encodes a recently discovered cancer‐specific chimeric protein that comprises full‐length astrotactin‐2 (ASTN2) C‐terminally fused in‐frame to the antisense sequence of the 18th intron of pregnancy‐associated plasma protein‐A (PAPPA). We used extracellular vesicles (EVs) from A‐PaschiRNA‐transfected dendritic cells (DCs) to produce the cell‐free anticancer vaccine DEXA‐P. Treatment of immunocompetent cancer‐bearing mice with DEXA‐P inhibited tumour growth and prolonged animal survival. In summary, we demonstrate for the first time that cancer‐specific transcription‐induced chimeric RNAs can be exploited to produce a cell‐free cancer vaccine that induces potent CD8+ T cell‐mediated anticancer immunity. Our novel approach may be particularly useful for developing cancer vaccines to treat malignancies with low mutational burden or without mutation‐based antigens. Moreover, this cell‐free anticancer vaccine approach may offer several practical advantages over cell‐based vaccines, such as ease of scalability and genetic modifiability as well as enhanced shelf life.