PathTGSeg: The pathologic image segmentation of breast cancer via template matching and graphic calculation.

Pathologic image analysis is important for providing fundamental references for the clinical diagnosis of breast cancer. Although many methods have achieved outstanding performance in the pathologic image segmentation of breast cancer, there are still two issues limiting further development in this task. First, diverse and complex appearances exist within the observed scope for the same type of breast cancer.

The effect of high-intensity interval training on health-related outcomes in obese adolescents: a systematic review and meta-analysis.

Objective: The present research was to evaluate the impacts of high-intensity interval training (HIIT) intervention on health-related outcomes in obese adolescents, adopting a systematic review and meta-analysis.

Methodology: The study was performed by searching four databases (PubMed, Web of Science, Embase, and Cochrane Library) to determine randomized controlled trials (RCTs) exploring the impacts of HIIT to physiological parameters among obese adolescents. The sequential execution of a meta-analyses, subgroup analyses, and publication bias analyses was accomplished utilizing the software package RevMan version 5.

Social prediction errors in assisting strangers: the role of outcomes and contexts.

Introduction: Helping behavior is a fundamental aspect of social interaction, yet little is known about how accurately helpers can predict the emotional responses of help-seekers, particularly when interacting with strangers.

Methods: This study investigated social prediction errors in helping behavior between strangers and examined how outcomes and contexts influence these errors. In three scenario-based experiments, we assessed helpers' predictions and help-seekers' evaluations of gratitude, satisfaction, enthusiasm, and competence across different helping situations.

Comparative evaluation of quality and microbial community of Yibin yacai as influenced by traditional sun drying-natural and mechanical drying-inoculation fermentation.

This study evaluates a novel processing method (mechanical drying and inoculation fermentation) in comparison to traditional techniques (sun drying and natural fermentation) on the quality and microbial community structure of Yibin yacai. The novel method reduces processing time by over 15 days, regulates nitrite content (0.75-1.

MFCA-Transformer: Modulation Signal Recognition Based on Multidimensional Feature Fusion.

In order to solve the problems of modulation signals in low signal-to-noise ratio (SNR), such as poor feature extraction ability, strong dependence on single modal data, and insufficient recognition accuracy, this paper proposes a multi-dimensional feature MFCA-transformer recognition network that integrates phase, frequency and power information. The network uses Triple Dynamic Feature Fusion (TDFF) to fuse constellation, time-frequency, and power spectrum features through the adaptive dynamic mechanism to improve the quality of feature fusion. A Channel Prior Convolutional Attention (CPCA) module is introduced to solve the problem of insufficient information interaction between different channels in multi-dimensional feature recognition tasks, promote information transmission between various feature channels, and enhance the recognition ability of the model for complex features.

Influence of Glutinous Rice Raw Material Characteristics on the Aroma Profile of Rice Wine.

Rice wine is a beverage rich in flavor, but the flavor difference caused by rice raw materials has received little attention. To determine the key aroma compounds in rice wine, four types of samples were analyzed by gas chromatography-mass spectrometry (GC-MS), gas chromatography-olfactometry (GC-O), and sensory evaluation. Thirty-eight aroma compounds were detected in the experiment, thirteen of which were identified and quantified using the internal standard method.

Insights into heterogenetic mechanism in physicochemical driving factors, microbial community and volatile metabolites during high-temperature Daqu fermentation by traditional stacking and shelf stacking.

Background: Research on shelf-stacking fermentation is growing, with the aim of reducing labor and improving Daqu stability, but it still falls short compared to traditional stacking fermentation, especially for high-temperature Daqu (HTD). The heterogenetic mechanisms underlying+ these two Daqu remain unclear.

Results: The improved micro-oxygen environment in shelf-stacking fermentation significantly reduced acidity and increased liquefaction and esterification activities compared to traditionally stacked HTD (HTD-T).

The effects of acute alcohol intake on endogenous vs. exogenous attention in visual perception.

Acute alcohol consumption is known to impair visual perception, yet the underlying mechanisms remain poorly understood. Visual perception is influenced by visual attention, which comprises two distinct components: endogenous (voluntary) and exogenous (involuntary) attention. This study investigated how a moderate alcohol dose alters attentional modulation of visual perception.

Rare earth doping: a strategy to enhance the catalytic activity of ZnFeO in activating peroxymonosulfate for acetaminophen degradation.

In this paper, ZnFeO was doped by two rare earth metals (La and Pr), and the as-prepared ZnLaFeO and ZnPrFeO were applied to activate PMS for acetaminophen degradation. ZnLaFeO with the largest oxygen vacancy (O) content showed the highest acetaminophen degradation efficacy. About 89.

Duckweed Evolution: from Land back to Water.

Terrestialization is an important evolutionary process that plants experienced. However, little is known about how land plants acquired aquatic growth behaviors. Here we integrate multiproxy evidence to elucidate the evolution of the aquatic plant duckweed.

Direct conversion of waste CO over porous polymer catalysts.

Direct conversion of waste CO avoids CO capture and lowers the cost of CO utilisation; however, this route remains a challenging research topic. Developing catalysts that facilitate the enrichment and conversion of waste CO is therefore essential. Porous polymer catalysts offer unique advantages due to their high surface area and tunable functionality.

Examining the interplay of childhood abuse, bullying, and bullying victimization in middle school students: a serial mediation analysis.

Introduction: Childhood abuse and bullying are youth problem worldwide, yet the detrimental effects of child abuse is underestimated in China. The aim of this study is to analyze the relationship between child abuse and bullying and victimization, and to explore the mediating roles of self-esteem, peer relationships, and moral disengagement in the chain between childhood abuse, school bullying, and victimization among junior high school.

Methods: This study included 1,327 adolescents (52.

Effects of multiple freeze-thaw cycles on the foaming and structural properties of egg whites subjected to different thawing methods.

This study systematically investigated the effects of multiple freeze-thaw(F-T)cycles using four thawing methods on the foaming characteristics of egg white proteins and their regulatory mechanisms. The results indicated that the foaming capacity of air and water bath thawed samples increased with the number of F-T cycles. In contrast, vacuum thawing significantly reduced the foaming capacity, while ultrasonic thawing exhibited the optimal foaming capacity.

Regulating Intrinsic Structure in Anthracite-Based Hard Carbon for High Initial Coulombic Efficiency Sodium-Ion Storage.

Hard carbon (HC) is a promising anode material for sodium-ion batteries due to its affordability, substantial sodium storage capacity, and low sodium intercalation potential. However, it suffers from low initial coulombic efficiency (ICE). Herein, an innovative acetylene-mediated strategy is proposed to tailor the heteroatom content and pore structure of anthracite-derived HC.

Coupling microbial electrolytic circuit in a microbial electrochemical transistor to amplify extracellular electron signals for rapid BOM detection.

Acquiring weak electron signals from electroactive bacteria is critical for biosensing, wastewater treatment, and life science applications. However, current microbial electrochemical techniques are inefficient in capturing these signals at microscale. While organic electrochemical transistors can amplify signals exponentially, they lack an effective cathodic reaction to sustain electroactive bacterial dominant communities.

Bioinspired ruthenium-manganese-oxygen complex for biocatalytic and radiosensitization therapies to eradicate primary and metastatic tumors.

Designing efficient, biocompatible radiation-sensitive materials to activate systemic immune responses can maximize tumoricidal effects against malignant tumors. Here, inspired by natural Mn-peroxidase, we propose the de novo design of the RuMn-oxygen complex (MnBTC-Ru) for biocatalytic and radiosensitization therapies to eradicate primary and metastatic tumors. Our results reveal that Mn-organic ligands can enhance the electron density of Ru clusters, thereby optimizing their binding to oxygen species and resulting in high reactive oxygen species and oxygen generation.

Dual-mode fluorescence and colorimetric bimodal sensing of Baijiu based on the peroxidase activity of CDs@MOF.

Baijiu represents the pinnacle of traditional Chinese culinary culture. The role of Baijiu in rituals, banquets, dishes, healthcare, and numerous other areas is evident in various literary works. The reduction of redox-active compounds (, phenols and organic acids) critically modulates the flavor complexity, aroma evolution, and overall quality of Baijiu.

MFPI-Net: A Multi-Scale Feature Perception and Interaction Network for Semantic Segmentation of Urban Remote Sensing Images.

To improve semantic segmentation performance for complex urban remote sensing images with multi-scale object distribution, class similarity, and small object omission, this paper proposes MFPI-Net, an encoder-decoder-based semantic segmentation network. It includes four core modules: a Swin Transformer backbone encoder, a diverse dilation rates attention shuffle decoder (DDRASD), a multi-scale convolutional feature enhancement module (MCFEM), and a cross-path residual fusion module (CPRFM). The Swin Transformer efficiently extracts multi-level global semantic features through its hierarchical structure and window attention mechanism.

An Ultrasensitive Four-Response Ratiometric Electrochemical Homogeneous Biosensor Based on a Positive MOF Biomaterial for Direct Diagnosis of Breast Cancer Types in Human Serum.

Continued development of high-performance, low-cost, in vitro diagnostic tools is critical for cancer diagnosis and therapeutic prognosis. Herein, we propose a four-response ratiometric electrochemical homogeneous biosensor based on positive MOF biomaterial for detection of the estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER2), and cell proliferation index (Ki67) protein biomarkers, and for simultaneous diagnosis of 10 types of breast cancer directly in human serum using a single electrode within one system. The principle of this specific four-response ratiometric electrochemical biosensor relied on neutral red (NR), tolonium blue (TB), tetramethylbenzidine (TMB), and malachite green (MG) loaded on the surface of UiO-66-NH.

High-performance conductive nanocomposites of modified poly(lactic acid) and nanocarbon black: Enhanced mechanical properties, chemically proven 3D network structure, and antibacterial features for 3D printing.

Polylactic acid (PLA), despite its biodegradability, suffers from inherent brittleness, low electrical conductivity, and insufficient antibacterial properties, limiting its application in high-performance fields. To address these limitations, this study developed high-performance conductive nanocomposites by introducing modified poly(lactic acid) (MPLA) and nanocarbon black (nCB). At an optimal nCB content of 8 %, the composites achieved significant enhancements, including a 48.

Construction of S-scheme SbO/g-CN heterojunctions for photocatalytic CO and Cr(VI) reduction.

Photocatalytic CO reduction is a promising strategy to address excessive CO emissions. g-CN photocatalyst has attracted widespread attention due to its appropriate bandgap and low toxicity. However, the rapid recombination of electron-hole pairs and the limited number of active sites severely restrict its practical application.

Fluorination of Fe, Sn, N atoms doped carbon enables the balance of activity and stability for oxygen reduction.

The development of highly active and durable carbon-based electrocatalysts for the oxygen reduction reaction (ORR) is of critical importance. In this study, a heteroatom-doped carbon catalyst (FeSn-NFC) was synthesized through the chelation of Fe and dopamine hydrochloride, followed by Sn/F co-doping and carbonization. The resulting FeSn-NFC catalyst exhibits an ultrahigh specific surface area of 2387.

Can digital village construction promote sustainable agricultural development in China?

Agriculture is a major contributor to global greenhouse gas emissions. Consequently, studying the sustainable development of agricultural activities is crucial for achieving the United Nations' Sustainable Development Goals. Utilizing panel data from 30 Chinese provinces from 2012 to 2022, this study measured the environmental, economic, and social dimensions of sustainable agricultural development (SAD) at the provincial level in China.

Spatiotemporal changes in land use and identification of driving factor contributions in the Chengdu-Chongqing Economic Circle based on the random forest model.

As urbanization accelerates and ecological protection demands increase, the evolution of land use patterns and their driving mechanisms have become critical issues for regional sustainable development. This study focuses on the Chengdu-Chongqing Economic Circle as the research area, utilizing land use data from 2000 to 2022. By employing the land use transfer matrix, dynamic degree and stability index, standard deviational ellipse method, and the PLUS model integrated with the random forest algorithm, we systematically analyze the spatiotemporal evolution characteristics of land use and the contribution of driving factors.

Chain Length-Dependent Reverse Micelle Extraction of Prolamins From Baijiu Jiuzao: Synergistic Effects of Ethanol, Ionic Strength, and Chaotropic Agent.

This study investigated the chain length-dependent extraction efficiency of two cationic surfactants-dodecyltrimethylammonium bromide (C12, 12-carbon chain) and cetyltrimethylammonium bromide (C16, 16-carbon chain)-for reverse micelle extraction of prolamins from Baijiu Jiuzao (Chinese Baijiu distillers' grains). Although pH variations (4.0-9.