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Active spiralling of microtubules driven by kinesin motors
Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction
Spatiotemporal evolution and driving forces of landscape ecological risk in the lower reaches of the Yellow River from 2000 to 2020
Novel control strategies for electric vehicle charging stations using stochastic modeling and queueing analysis
The human autophagy-initiating complexes ULK1C and PI3KC3-C1
Methane-powered sea spiders: Diverse, epibiotic methanotrophs serve as a source of nutrition for deep-sea methane seep <i>Sericosura</i>
Methane seeps harbor uncharacterized animal–microbe symbioses with unique nutritional strategies. Three undescribed sea spider species (family Ammotheidae; genus Sericosura ) endemic to methane seeps were found along the eastern Pacific margin, from California to Alaska, hosting diverse methane- and methanol-oxidizing bacteria on their exoskeleton. δ 13 C tissue isotope values of in situ specimens corroborated methane assimilation (−45‰, on average). Live animal incubations with 13 C-labeled methane and methanol, followed by nanoscale secondary ion mass spectrometry, confirmed that carbon derived from both compounds was actively incorporated into the tissues within five days. Methano- and methylotrophs of the bacterial families Methylomonadaceae, Methylophagaceae and Methylophilaceae were abundant, based on environmental metagenomics and 16S rRNA sequencing, and fluorescence and electron microscopy confirmed dense epibiont aggregations on the sea spider exoskeleton. Egg sacs carried by the males hosted identical microbes suggesting vertical transmission. We propose that these sea spiders farm and feed on methanotrophic and methylotrophic bacteria, expanding the realm of animals known to harness C1 compounds as a carbon source. These findings advance our understanding of the biology of an understudied animal lineage, unlocking some of the unique nutritional links between the microbial and faunal food webs in the oceans.
The familiarity effect of Chinese stroke stimulus and imagery on contextual integration: Evidence from ERP correlates
The neural process of contextual integration has been examined through the phenomenology of semantic incongruence of words. The present study investigated whether the effort of contextual integration would be heightened by the increased demand of selective attention and attention orientation to unfamiliar Chinese stroke style and sequence. It also examined whether visual imagery of unfamiliar stroke style and sequence would mitigate the effort of contextual integration of unfamiliar Chinese stroke. Nineteen participants take part in two cognitive tasks: (a) imagery of Chinese strokes and (b) detection of Chinese familiar and unfamiliar stroke style. An electroencephalogram was concurrently recorded for the analysis of event-related potential (ERP). Results revealed significant differences in attention orientation and effort of contextual integration between familiar and unfamiliar Chinese strokes, as indicated by larger amplitudes of N160 (100–200 ms) & P200 (260–380 ms) components. Furthermore, a larger amplitude of N400 (300–500 ms) component, signifying the neural process of integrating external from the context, was obtained when individuals viewed unfamiliar Chinese strokes. These findings suggest a cognitive effort was needed to process unfamiliar Chinese stimuli, followed by a greater mental effort required for contextual integration of the unfamiliar stimuli. Furthermore, top-down control of visual imagery would facilitate the process of contextual integration via generating internal representation. This finding provides a new insight that the effort expended in contextual integration may be associated with both attentional control and the generation of internal representation from long-term storage across visual stimuli with varying levels of stimulus familiarity. In summary, our study provided insights into the cognitive mechanisms underlying attentional control, contextual integration, and the role of visual imagery in the processing of stimuli with different levels of familiarity. Furthermore, it suggested the potential utility of the N400 component as a biomarker for assessing attention control and memory retrieval functions.
Bolt loosening evaluation method based on normalized screw root equivalent stress and loosening life curve
Ocean acidification induces changes in circadian alternative splicing profiles in a coral reef fish
Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques
Abstract Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical features and deep learning techniques. The methodology involves preprocessing with the Shearlet Transform, segmentation using Improved Otsu thresholding and Canny edge detection, followed by feature extraction through Gray Level Co-occurrence Matrix (GLCM), Gray Level Run Length Matrix (GLRLM), and 1st-order statistical descriptors. These features are input into a 2D BiLSTM-CNN model designed to learn spatial and sequential patterns in mammogram images. Evaluated on the MIAS dataset, the proposed method achieved 97.14% accuracy, outperforming several benchmark models. The results indicate that this hybrid strategy offers improvements in classification performance and may assist radiologists in more effective breast cancer screening.
Effects of sport disciplines on offspring sex ratio in elite athletes: an observational study
Gpbar1-mediated SIRT1-PGC-1α axis maintains mitochondrial homeostasis and mitigates renal injury in obstructive jaundice
Treatment outcomes of ABVD in classical Hodgkin lymphoma patients from Thailand without procarbazine access
Physical activity enhances college students’ mental health through social adaptability and exercise behavior chain mediation
Empathy and mental health distress in informal caregivers of dementia and stroke patients: a cross-sectional study
FDA approves a c-MET-targeted ADC for lung cancer
Written in chromatin: The enduring legacy of C. David Allis
How does the institutional environment improve the entrepreneurial quality of returnees? A configuration analysis based on a complex system view
Enhancing high-quality entrepreneurship among returnees stands as a pivotal mechanism in driving the robust economic development of emerging economies. The inquiry into crafting an enabling institutional framework to bolster the excellence of returnee entrepreneurship has garnered significant interest within academia and pertinent industries. Existing research primarily explores the impact of single institutional elements on returnee entrepreneurship, overlooking the diverse pathways to improve its quality under institutional complexity. Building on these insights, the current study explores the complex relationship between institutional configurations and the quality of returnee entrepreneurship in China. It also employs Necessary Condition Analysis (NCA) and dynamic Qualitative Comparative Analysis (QCA) methods based on a complex systems perspective. The research samples include 30 provinces in China. The findings reveal that while individual institutional factors do not, on their own, drive high-quality entrepreneurship among returnees in Periods 1 and 2, the importance of market environment and digital infrastructure becomes pronounced by Period 3. In the initial period, resource-driven entrepreneurship paired with emerging opportunities fosters high-quality outcomes. By Period 2, two additional configurations take shape: legitimacy-driven entrepreneurship under opportunity emergence and a dual-driver model that integrates both opportunities and resources. This dual-driver approach remains the dominant pathway for returnees in Period 3. Additionally, the market environment remains a critical factor across all periods. Digital infrastructure has become increasingly crucial for returnee entrepreneurship. Initially, the market environment focused primarily on financial services, but its connection with digital infrastructure intensified over time. In that regard, differences in economic resources and development across provinces have also led to region-specific pathways for improving the quality of returnee entrepreneurship. The findings contribute to a nuanced comprehension of the disparate progress of returnee entrepreneurial endeavors across regions within emerging economies. Most importantly, they offer theoretical insights to enhance the institutional framework in diverse regions, fostering the attainment of high-quality returnee entrepreneurship.