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Edge computing faces challenges in energy-efficient task scheduling for heterogeneous multicore processors (HMPs). Existing solutions focus on reactive workload adaptation and energy prediction but fail to effectively integrate dynamic voltage and frequency scaling (DVFS). This paper proposes a novel algorithm integrating task prioritization, core-aware mapping, and predictive DVFS. Our approach outperforms state-of-the-art methods, reducing energy consumption by 20.9% while maintaining a low 2.4% deadline miss rate. Experiments on real HMP platforms demonstrate the algorithm’s scalability and adaptability to varying workloads. This work advances energy-efficient edge computing, balancing performance and power constraints.

To delineate Gpr109A’s role and mechanisms in modulating the immune microenvironment of hepatocellular carcinoma. Employing Gpr109A-knockout mice and in vitro co-cultures of hepatocellular carcinoma cells with macrophages, this study utilized a suite of techniques, including lentiviral vectors for stable cell line establishment, Western blotting, cell scratch, CCK-8, transwell assays, flow cytometry, immunohistochemistry and phagocytosis assay to assess various cellular behaviors and interactions. Gpr109A deletion markedly reduced the oncogenic potential of H22 cells, both in vivo and when co-cultured with knockout macrophages, impairing their growth, invasion, and migration. In Gpr109A-knockout macrophages, an upregulation of MerTK and a reduction in immunosuppressive cytokine release were observed, indicating a shift towards an M2c macrophage phenotype. This shift is linked to Gpr109A’s role in promoting protease overexpression and inhibiting SHP2 phosphorylation, crucial for enhancing cancer cell proliferation and invasiveness. Gpr109A significantly influences macrophage polarization to the M2c type, augmenting hepatocellular carcinoma cell aggressiveness.

Direct quantification of terrestrial biosphere responses to global change is crucial for projections of future climate change in Earth system models. Here, we synthesized ecosystem carbon-cycling data from 1,119 experiments performed over the past four decades concerning changes in temperature, precipitation, CO 2 and nitrogen across major terrestrial vegetation types of the world. Most experiments manipulated single rather than multiple global change drivers in temperate ecosystems of the USA, Europe and China. The magnitudes of warming and elevated CO 2 treatments were consistent with the ranges of future projections, whereas those of precipitation changes and nitrogen inputs often exceeded the projected ranges. Increases in global change drivers consistently accelerated, but decreased precipitation slowed down carbon-cycle processes. Nonlinear (including synergistic and antagonistic) effects among global change drivers were rare. Belowground carbon allocation responded negatively to increased precipitation and nitrogen addition and positively to decreased precipitation and elevated CO 2 . The sensitivities of carbon variables to multiple global change drivers depended on the background climate and ecosystem condition, suggesting that Earth system models should be evaluated using site-specific conditions for best uses of this large dataset. Together, this synthesis underscores an urgent need to explore the interactions among multiple global change drivers in underrepresented regions such as semi-arid ecosystems, forests in the tropics and subtropics, and Arctic tundra when forecasting future terrestrial carbon-climate feedback. A synthesis of global change experiments that manipulated temperature, precipitation, carbon dioxide or nitrogen identifies a need to consider site-specific factors and interactions in Earth system models.

Tourist trampling is a serious disturbance affecting the soil structure and microbial community in forests. However, it is still unclear whether the response of soil microorganisms to trampling is attributed to the alterations in soil physical (soil bulk density and total porosity) or soil chemical (total nitrogen and soil organic carbon) properties. To determine the response and mechanism of soil microbial community composition to tourist trampling, we conducted a field experiment including four levels of trampling intensity (control, mild, moderate, and severe) at the Baotianman forest ecotourism area. With increasing trampling intensity, soil bulk density showed a substantially increasing pattern, whereas soil total porosity, total nitrogen, and soil organic carbon showed a decreasing trend. Compared to the insignificant change under mild trampling, moderate and severe trampling significantly decreased soil bacterial PLFAs (phospholipid fatty acids) by 46.6% and 57.5%, and fungal PLFAs by 36.3% and 61.5%, respectively. Severe trampling showed a significantly negative effect (−4.37%) on the proportion of soil bacterial PLFAs. Changes in soil bulk density and porosity induced by trampling, rather than total nitrogen and soil organic carbon, played a greater role in regulating soil microbial community composition. These findings suggest that soil microbial community composition and biomass are significantly influenced by the changes in soil texture and aeration conditions caused by tourist trampling.

Receptor tyrosine kinase ROR1, an embryonic protein involved in organogenesis, is expressed in certain hematological malignancies and solid tumors, but is generally absent in adult tissues. This makes the protein an ideal drug target for cancer therapy. In order to assess the suitability of ROR1 as a cell surface antigen for targeted therapy of lung adenocarcinoma, we carried out a comprehensive analysis of ROR1 protein expression in human lung adenocarcinoma tissues and cell lines. Our data show that ROR1 protein is selectively expressed on lung adenocarcinoma cells, but do not support the hypothesis that expression levels of ROR1 are associated with aggressive disease. However silencing of ROR1 via siRNA treatment significantly down-regulates the activity of the PI3K/AKT/mTOR signaling pathway. This is associated with significant apoptosis and anti-proliferation of tumor cells. We found ROR1 protein expressed in lung adenocarcinoma but almost absent in tumor-adjacent tissues of the patients. The finding of ROR1-mediated proliferation signals in both tyrosine kinase inhibitor (TKI)-sensitive and -resistant tumor cells provides encouragement to develop ROR1-directed targeted therapy in lung adenocarcinoma, especially those with TKI resistance.

Quantification of the temporal and spatial variations of soil respiration is an essential step in modeling soil carbon (C) emission associated with the spatial distribution of plants. To examine the temporal and spatial variations of soil respiration and its driving factors, we investigated soil respiration, microclimate, and understory vegetation in a 50 m × 70 m plot in a climatic transitional zone oak forest in Central China. The temporal variation of soil respiration based on the 21 measurements ranged from 15.01% to 30.21% across the 48 subplots. Structural equation modeling showed that soil temperature and understory shrub biomass had greater positive effects on the seasonal variability of soil respiration. The spatial variation of soil respiration of the 48 subplots varied from 3.61% to 6.99% during the 21 measurement campaigns. Understory shrub biomass and belowground fine root biomass positively regulated the spatial variation of soil respiration. Soil respiration displayed strong spatial autocorrelation, with an average spatial correlation length of 20.1 m. The findings highlight the importance of understory shrub and belowground biomass in regulating the temporal and spatial heterogeneity of soil respiration in forest ecosystems, and the need to carefully address it to robustly estimate the contribution of soil C emission in terrestrial C cycling.

Spinal cord injury (SCI) is a devastating disease with limited treatment options due to the restricted regenerative capacity of the central nervous system. The accumulation of reactive oxygen species (ROS) and inadequate endogenous neural stem progenitor cells (eNSPCs) in the lesion site exacerbates neurologic deficits and impedes motor function recovery. We have developed a temperature-responsive hyaluronic acid conjugated hydrogel-polydopamine nanoparticles (PDA NPs) combined with human mesenchymal stem cell (hMSCs) transplantation, denoted as H-P-M hydrogel. Microglia cells treated with PDA NPs have been shown to reduce intracellular ROS levels by 65 % and suppress the expression of inflammatory cytokines such as IL-1β (decreased by 35 %) and IL-6 (decreased by 23 %), thus mitigating the microglia's inflammatory response. Additionally, our results have demonstrated that the H-P-M hydrogel combined with hMSCs transplantation can recruit eNSPCs to the injury site as evidenced by utilizing Nestin lineage tracer mice. The RNA-seq has unveiled the potential of the H-P-M hydrogel to facilitate eNSPCs neuronal differentiation through the MAPK pathway. Furthermore, these differentiated neurons are integrated into local neural circuits. Together, it suggests that the H-P-M hydrogel synergistically improves the SCI niche. It serves as catalysts inducing 5-HT axon regeneration and improving BMS score after SCI through the modulation of the ROS milieu and the promotion of neuronal differentiation from eNSPCs, thereby presenting a promising strategy for SCI repair. [Display omitted] •A PDA NP-decorated temperature-responsive hydrogel synergetically repairs SCI combing with hMSC transplantation.•The H-P-M hydrogel improved SCI niche through the modulation of the ROS milieu.•The eNSPCs neuronal differentiation is facilitated by the MAPK pathway in vivo.•5-HT axon regrowth and neural circuit reconstruction boost motor function after transplantation.

The forest canopy cover can directly and indirectly affect soil conditions and hence soil carbon emission through soil respiration. Little is known, however, on the effects of canopy cover on soil respiration under the canopy of different tree species and soil water conditions. We have examined the variation in soil respiration at different soil water conditions (dry <10 %, wet >20 %, v/v) under different tree canopy covers in comparison with the canopy interspace in a temperate coniferous ( Pinus armandii Franch) and broadleaved ( Quercus aliena var. acuteserrata ) mixed forest in central China. The results show that soil respiration measured under tree canopy cover varied with canopy size and soil water content. Soil respiration under small-sized canopies of P. armandii (PS) was higher than that under large-sized (PL) canopies, but the difference was only significant under the dry soil condition. However, soil respiration under large-sized canopies of Q. aliena (QL) was significantly greater than that under small-sized (QS) canopies under both dry and wet soil conditions. The difference in soil respiration between differently sized canopies of Q. aliena (33.5–35.8 %) was significantly greater than that between differently sized canopies of P. armandii (2.4–8.1 %). Differences in soil respiration between inter-plant gaps and under QS canopies in both the dry and wet soil conditions were significant. Significant increases in soil respiration (9.7–32.2 %) during the transition from dry to wet conditions were found regardless of canopy size, but the increase of soil respiration was significantly lower under P. armandii canopies (9.7–17.7 %) than under Q. aliena canopies (25.9–31.5 %). Our findings that the canopy cover of different tree species influences soil respiration under different soil moisture conditions could provide useful information for parameterizing and/or calibrating carbon flux models, especially for spatially explicit carbon models.

To identify and explore the latent categories of self-control and clarify the relationship between self-control and self-management of stroke survivors under different categories. This cross-sectional study was conducted using a general information questionnaire, the Chinese version of the Dual-Mode Self-Control Scale, and the Stroke Self-Management Scale to measure sociodemographic data, self-control, and self-management. The questionnaires were administered face-to-face, and a convenience sampling method was used to collect the data. A total of 519 stroke survivors from a tertiary hospital in Henan Province, China, were included. Data were analyzed using latent profile analysis and the Kruskal–Wallis H test. The four-profile model was the most suitable. It was named as follows: low impulse-high control group (25.0%), low impulse-low control group (39.7%), high impulse-high control group (24.7%), and high impulse-low control group (10.6%). The self-management scores of the low impulse and high control group were significantly higher than those of the other three groups. Stroke survivors demonstrate moderate levels of self-control. In particular, patients with ambivalent self-control psychologies are noteworthy as they require strategies to address this contradictory psychological situation. Healthcare providers should consider the unique self-control characteristics of stroke survivors to assist them in enhancing their self-control abilities. Future research should use more objective assessment methods to examine long-term changes in self-control among stroke survivors and their relationships with self-management.