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SMART is a low-latency solution that transmits nonconflicting flits to remote routers, enabling traversal of multi-hop paths within a single cycle. It reduces packet latency but ignores high power consumption in idle components. Additionally, SMART's low latency is highly dependent on HPC Max , which represents the maximum number of hops traversed within a cycle. Therefore, this paper presents SMART-PG, a power gating method based on SMART that reduces network power consumption by shutting down idle components such as router buffers under low-load conditions. We also extend the router architecture to enable the continuous establishment of single-cycle multi-hop bypass paths. Compared to SMART routers, our method eliminates packet buffering even when a packet reaches the last router of a single-cycle multi-hop path, reducing packet latency and sensitivity to HPC Max . Finally, we propose a routing algorithm that enables efficient packet transmission in one-dimensional and two-dimensional networks even when routers are powered off. Experimental results show that our method reduces packet latency and static power consumption by an average of 7.5% and 46.4%, respectively, compared to the baseline router. Compared to SMART routers, our method demonstrates significant superiority in terms of packet latency and the impact of multi-hop length on packet latency. [ABSTRACT FROM AUTHOR]

With the continuous reduction in transistor size, the power consumption issue associated with the adoption of Network-on-Chips (NoCs) in multicore systems has become increasingly prominent and severe, particularly in terms of static power consumption. Currently, the techniques employed to address the issue of static power consumption in NoCs can be broadly categorized into two forms: power gating and simplified router architecture. However, these designs face critical bottlenecks in maintaining network performance stability and flexibility. In this paper, we propose a power gating approach utilizing double buffering to conserve power. Firstly, we introduce the DBU-PG router architecture, which effectively reduces network power consumption by sharing an input buffer between every two input ports when the network load is low. Secondly, through improved arbitration and flow control mechanisms, packets can be efficiently transmitted between shared buffers. Finally, we propose an improved router architecture, DBU-PG2, which enables packets in different virtual channels of the same buffer to be executed concurrently. Based on evaluation in real application, our DBU-PG and DBU-PG2 routers achieved reductions of 69% and 66%, respectively, in static power consumption compared to the baseline. Additionally, DBU-PG2 reduced packet latency by 7.5% while incurring only a 2.3% increase in area overhead. [ABSTRACT FROM AUTHOR]

The high recurrence rate of renal uric acid stone (UAS) poses a significant challenge for urologists, and potassium sodium hydrogen citrate (PSHC) has been proven to be an effective oral dissolution drug. However, no studies have investigated the impact of PSHC on gut microbiota and its metabolites during stone dissolution therapy. We prospectively recruited 37 UAS patients and 40 healthy subjects, of which 12 patients completed a 3-month pharmacological intervention. Fasting vein blood was extracted and mid-stream urine was retained for biochemical testing. Fecal samples were collected for 16S ribosomal RNA (rRNA) gene sequencing and short chain fatty acids (SCFAs) content determination. UAS patients exhibited comorbidities such as obesity, hypertension, gout, and dyslipidemia. The richness and diversity of the gut microbiota were significantly decreased in UAS patients, Bacteroides and Fusobacterium were dominant genera while Subdoligranulum and Bifidobacterium were poorly enriched. After PSHC intervention, there was a significant reduction in stone size accompanied by decreased serum uric acid and increased urinary pH levels. The abundance of pathogenic bacterium Fusobacterium was significantly downregulated following the intervention, whereas there was an upregulation observed in SCFA-producing bacteria Lachnoclostridium and Parasutterella, leading to a significant elevation in butyric acid content. Functions related to fatty acid synthesis and amino acid metabolism within the microbiota showed upregulation following PSHC intervention. The correlation analysis revealed a positive association between stone pathogenic bacteria abundance and clinical factors for stone formation, while a negative correlation with SCFAs contents. Our preliminary study revealed that alterations in gut microbiota and metabolites were the crucial physiological adaptation to PSHC intervention. Targeted regulation of microbiota and SCFA holds promise for enhancing drug therapy efficacy and preventing stone recurrence. Key points: • Bacteroides and Fusobacterium were identified as dominant genera for UAS patients • After PSHC intervention, Fusobacterium decreased and butyric acid content increased • The microbiota increased capacity for fatty acid synthesis after PSHC intervention [ABSTRACT FROM AUTHOR]

The high recurrence rate of renal uric acid stone (UAS) poses a significant challenge for urologists, and potassium sodium hydrogen citrate (PSHC) has been proven to be an effective oral dissolution drug. However, no studies have investigated the impact of PSHC on gut microbiota and its metabolites during stone dissolution therapy. We prospectively recruited 37 UAS patients and 40 healthy subjects, of which 12 patients completed a 3-month pharmacological intervention. Fasting vein blood was extracted and mid-stream urine was retained for biochemical testing. Fecal samples were collected for 16S ribosomal RNA (rRNA) gene sequencing and short chain fatty acids (SCFAs) content determination. UAS patients exhibited comorbidities such as obesity, hypertension, gout, and dyslipidemia. The richness and diversity of the gut microbiota were significantly decreased in UAS patients, Bacteroides and Fusobacterium were dominant genera while Subdoligranulum and Bifidobacterium were poorly enriched. After PSHC intervention, there was a significant reduction in stone size accompanied by decreased serum uric acid and increased urinary pH levels. The abundance of pathogenic bacterium Fusobacterium was significantly downregulated following the intervention, whereas there was an upregulation observed in SCFA-producing bacteria Lachnoclostridium and Parasutterella, leading to a significant elevation in butyric acid content. Functions related to fatty acid synthesis and amino acid metabolism within the microbiota showed upregulation following PSHC intervention. The correlation analysis revealed a positive association between stone pathogenic bacteria abundance and clinical factors for stone formation, while a negative correlation with SCFAs contents. Our preliminary study revealed that alterations in gut microbiota and metabolites were the crucial physiological adaptation to PSHC intervention. Targeted regulation of microbiota and SCFA holds promise for enhancing drug therapy efficacy and preventing stone recurrence. Key points: • Bacteroides and Fusobacterium were identified as dominant genera for UAS patients • After PSHC intervention, Fusobacterium decreased and butyric acid content increased • The microbiota increased capacity for fatty acid synthesis after PSHC intervention [ABSTRACT FROM AUTHOR]

The frequency of water inrush disasters severely affects tunnel construction, lives, and property. As a result, accurate forecasting of the danger of water inrush during construction is critical. This paper aims to create a progressive evaluation model for assessing water inrush risk during two stages: pre-construction and construction. The proposed model provides a static pre-construction estimation and allows dynamic updates based on previous predictions for unexcavated sections during construction. Initially, comprehensive multi-water inrush information was presented by analyzing 65 tunnel accidents of water during construction, including 12 evaluation indexes encompassing hydrogeology and excavation monitoring. Subsequently, the assessment model was constructed using a combined weighting method and non-linear attribute recognition theory. The information from dynamic monitoring on surrounding rock and seepage pressure is integrated, and feedback site data is used to dynamically modify the weighting of the indicators and update the projected predictions. This approach has been employed as a case study to evaluate the water inrush risk during the Qinling water transmission tunnel. The results demonstrate that the prediction outcomes of dynamic weights align well with on-site holes, exhibiting higher forecasting accuracy than other methods. This approach offers a novel perspective for accurately evaluating water inrush risk in tunnel construction. [ABSTRACT FROM AUTHOR]

MXene‐based thermal camouflage materials have gained increasing attention due to their low emissivity, however, the poor anti‐oxidation restricts their potential applications under complex environments. Various modification methods and strategies, e.g., the addition of antioxidant molecules and fillers have been developed to overcome this, but the realization of long‐term, reliable thermal camouflage using MXene network (coating) with excellent comprehensive performance remains a great challenge. Here, a MXene‐based hybrid network comodified with hyaluronic acid (HA) and hyperbranched polysiloxane (HSi) molecules is designed and fabricated. Notably, the presence of appreciated HA molecules restricts the oxidation of MXene sheets without altering infrared stealth performance, superior to other water‐soluble polymers; while the HSi molecules can act as efficient cross‐linking agents to generate strong interactions between MXene sheets and HA molecules. The optimized MXene/HA/HSi composites exhibit excellent mechanical flexibility (folded into crane structure), good water/solvent resistance, and long‐term stable thermal camouflage capability (with low infrared emissivity of ≈0.29). The long‐term thermal camouflage reliability (≈8 months) under various outdoor weathers and the scalable coating capability of the MXene‐coated textile enable them to disguise the IR signal of various targets in complex environments, indicating the great promise of achieved material for thermal camouflage, IR stealth, and counter surveillance. [ABSTRACT FROM AUTHOR]

To reflect both fuzziness and hesitation in the evaluation of interactivity between attributes in the identification process of 2-order additive fuzzy measure, this work uses the hesitant fuzzy linguistic term set (HFLTS) to describe and depict the interactivity between attributes. Firstly, the interactivity between attributes is defined by the supermodular game theory. According to this definition, a linguistic term set is established to characterize the interactivity between attributes. Under the linguistic term set, the experts employ linguistic expressions generated by context-free grammar to qualitatively describe the interactivity between attributes. Secondly, through the conversion function, the linguistic expressions are transformed into the hesitant fuzzy linguistic term sets (HFLTSs). The individual evaluation results of all experts were further aggregated with the defined hesitant fuzzy linguistic weighted power average operator (HFLWPA). Thirdly, based on the standard Euclidean distance formula of the hesitant fuzzy linguistic elements (HFLEs), the hesitant fuzzy linguistic interaction degree (HFLID) between attributes is defined and calculated by constructing a piecewise function. As a result, a 2-order additive fuzzy measure identification method based on HFLID is proposed. Based on the proposed method, using the Choquet fuzzy integral as nonlinear integration operator, a multi-attribute decision making (MADM) process is then presented. Taking the credit assessment of the big data listed companies in China as an application example, the analysis results of application example prove the feasibility and effectiveness of the proposed method. This work successfully reflects both the fuzziness and hesitation in evaluating the interactivity between attributes in the identification process of 2-order additive fuzzy measure, enriches the theoretical framework of 2-order additive fuzzy measure, and expands the applicability and methodology of 2-order additive fuzzy measure in multi-attribute decision making. [ABSTRACT FROM AUTHOR]

[Display omitted] • LPCAT3 levels are significantly elevated in rat brain tissue after SAH. • LPCAT3 aggravates ferroptosis after SAH. • Reduction in LPCAT3 expression enhances neurological function following SAH in rats. Lysophosphatidylcholine acyltransferase 3 (LPCAT3) is known to play a pivotal role in lipid metabolism, but its role in the early brain injury (EBI) following subarachnoid hemorrhage (SAH) remains unclear. This study provides insights into LPCAT3 expression alterations and functional implications in EBI following SAH. SAH models of adult male Sprague-Dawley (SD) rats were established by intravascular perforation. Lentivirus vectors were administered by intracerebroventricular injection (i.c.v.) to either induce LPCAT3 overexpression or knockdown 14 days before SAH induction. Western blot, immunofluorescence, Nissl staining, MDA detection, ROS detection, iron content detection, and short-term and long-term neurobehavioral tests were performed to investigate the effects of regulated-LPCAT3 after SAH. LPCAT3 levels were found to be significantly elevated in SAH. Suppression of LPCAT3 expression via shRNA improved oxidative stress, reduced brain edema, alleviated behavioral and cognitive deficits following SAH and decreased neuronal death, while upregulating LPCAT3 expression showed opposing effects. LPCAT3 is involved in SAH-induced EBI and associated with ferroptosis. Our findings provide a referential basis for potential therapeutic interventions aimed at alleviating EBI following SAH. [ABSTRACT FROM AUTHOR]

The swirl cup airblast fuel injector is widely used in modern low-emission gas turbine combustors. It is important to understand the underlying physics in the interaction between fuel spray and complex swirling airflow. The present study investigates a swirl cup airblast fuel injector's swirling flow and spray atomization characteristics. Various laser-based diagnostics, including planar Mie scattering, phase-Doppler particle analyzer, and high-speed particle imaging velocimetry, were employed for this purpose. The swirl cup airblast fuel injectors, featuring different outer swirler swirl numbers (0.8 < S N < 1.8) and inner–outer relative swirling directions, were investigated in an air Reynolds number ranging from 0.77 × 106 to 1.16 × 106 and a 2 kg/h constant kerosene mass flow rate. The results showed that, since the swirler relative direction showed a significant influence on the inner swirler induced central toroidal recirculation zone and outer swirler induced swirling jet zone, the interaction between spray and swirling airflow was changed. Therefore, spray angle, Sauter mean diameter, and droplet velocity were changed by the swirler relative direction. Moreover, the effect of swirl number on the spray characteristics was found to be different for co- and counter-direction swirler configurations. [ABSTRACT FROM AUTHOR]

The calcium isotope composition of seawater (δ44/40Ca sw) records important information on the evolution of the calcium and carbon cycles over geologic time. Over the past two decades, many attempts have been made to reconstruct the Neogene δ44/40Ca sw variation using various calcium isotope records of seawater or seawater-like pore fluids. Nonetheless, large discrepancies still exist among these Neogene δ44/40Ca sw records. Here we report δ44/40Ca values in a suite of Neogene island dolomites (20.8–3.4 Ma, n = 18) from the South China Sea. Combining multiple geochemical proxies (δ44/40Ca, δ13C, and δ18O, this study; Sr/Ca, ∑REY, δ7Li, δ26Mg, 87Sr/86Sr, and Δ 47 , previous studies) and evidence from petrography, fluid inclusions, and magnetostratigraphy, we suggest that the dolomitization for these dolomites was buffered by seawater-like fluids in the shallow marine burial domain or even marine diagenetic domain (<180 m) over a considerable period of time (<2 Myr). Then, we apply the equilibrium calcium isotope fractionation factor between dolomite and seawater of −0.52 ± 0.20 ‰ (2SD, n = 13) estimated from the literature to these fluid-buffered dolomites and reconstruct a new Neogene δ44/40Ca sw record. After using the Locally Weighted Regression (LOWESS) curve fitting method, our dolomite-based δ44/40Ca sw record is consistent with the reconciled seawater record from other calcium isotope archives, including shark teeth, corals, foraminifera, brachiopods, barites, phosphates, and bulk pelagic carbonates. Our results support the use of fabric-retentive early marine diagenetic dolomites to trace the evolution of δ44/40Ca sw through Earth's history. [ABSTRACT FROM AUTHOR]

Aims: Intracerebral hemorrhage (ICH) is a disease with high rates of disability and mortality. The role of epidermal growth factor receptor 1 (ERBB1) in ICH was elucidated in this study. Methods: ICH model was constructed by injecting autologous arterial blood into the right basal ganglia. The protein level of ERBB1 was detected by western blot analysis. To up‐ and downregulation of ERBB1 in rats, intraventricular injection of a lentivirus overexpression vector of ERBB1 and AG1478 (a specific inhibitor of ERBB1) was used. The cell apoptosis, neuronal loss, and pro‐inflammatory cytokines were assessed by TUNEL, Nissl staining, and ELISA. Meanwhile, behavioral cognitive impairment of ICH rats was evaluated after ERBB1‐targeted interventions. Results: ERBB1 increased significantly in brain tissue of ICH rats. Overexpression of ERBB1 remarkably reduced cell apoptosis and neuronal loss induced by ICH, as well as pro‐inflammatory cytokines and oxidative stress. Meanwhile, the behavioral and cognitive impairment of ICH rats were alleviated after upregulation of ERBB1; however, the secondary brain injury (SBI) was aggravated by AG1478 treatment. Furthermore, the upregulation of PLC‐γ and PKC in ICH rats was reversed by AG1478 treatment. Conclusions: ERBB1 can improve SBI and has a neuroprotective effect in experimental ICH rats via PLC‐γ/PKC pathway. [ABSTRACT FROM AUTHOR]

[Display omitted] Lipid-based lyotropic liquid crystalline nanoparticles (LCNPs) face stability challenges in biological fluids during clinical translation. Ionic Liquids (ILs) have emerged as effective solvent additives for tuning the structure of LCNP's and enhancing their stability. We investigated the effect of a library of 21 choline-based biocompatible ILs with 9 amino acid anions as well as 10 other organic/inorganic anions during the preparation of phytantriol (PHY)-based LCNPs, followed by incubation in human serum and serum proteins. Small angle X-ray scattering (SAXS) results show that the phase behaviour of the LCNPs depends on the IL concentration and anion structure. Incubation with human serum led to a phase transition from the inverse bicontinuous cubic (Q 2) to the inverse hexagonal (H 2) mesophase, influenced by the specific IL present. Liquid chromatography-mass spectrometry (LC-MS) and proteomics analysis of selected samples, including PHY control and those with choline glutamate, choline hexanoate, and choline geranate, identified abundant proteins in the protein corona, including albumin, apolipoproteins, and serotransferrin. The composition of the protein corona varied among samples, shedding light on the intricate interplay between ILs, internal structure and surface chemistry of LCNPs, and biological fluids. [ABSTRACT FROM AUTHOR]

• Introducing phenyl groups onto Si–O–Si chains can tailor the foaming and cross-linking match. • The lowest density of the optimized PhSiRF material is as light as ∼100 mg/cm3. • The pore structure and morphology in the PhSiRF materials can be easily achieved. • The PhSiRF presents good wide-temperature flexibility and exceptional thermal insulation. Silicone foam materials with unique inorganic/organic molecular networks and porous structures are widely used in many emerging fields from aerospace to new energy fields. However, current silicone foam materials still show some limitations, such as the relatively high-density values of >200 mg cm−3, complex fabricating process and difficulty in tailoring pore structure. Herein, we report a large-scale and facile fabricating strategy to prepare phenyl-containing silicone foam materials (PhSiRF) with ultra-lightweight feature, tunable pore structure, and excellent wide-temperature mechanical flexibility. Interestingly, the presence of phenyl groups onto the Si–O–Si backbone tailors the chemical foaming rate probably due to the steric hindrance effect, thus producing tunable pore size distributions in the range of 180–500 μm. Typically, the PhSiRF with 50 % phenyl groups not only shows a very low density of ∼100 mg cm−3, superior to previous silicone foams and composites, but also exhibits wide-temperature flexibility (stable compressive strain of 80 % from −90 to 210 °C) and excellent thermal insulation performance, which outperforms those of conventional polymer foams including polyurethane, polyethylene and melamine foams. Based on the structure observation and theory analysis, the influence of different pore morphological structures on the thermal insulation performance is discussed and demonstrated. Clearly, this work provides a new yet simple method for developing high-performance silicone rubber foam materials for promising thermal insulation applications. [ABSTRACT FROM AUTHOR]

Anoikis plays a crucial role in the progression, prognosis, and immune response of lung adenocarcinoma (LUAD). However, its specific impact on LUAD remains unclear. In this study, we investigated the intricate interplay of nesting apoptotic factors in LUAD. By analyzing nine key nesting apoptotic factors, we categorized LUAD patients into two distinct clusters. Further examination of immune cell profiles revealed that Cluster A exhibited greater infiltration of innate immune cells than did Cluster B. Additionally, we identified two genes closely associated with prognosis and developed a predictive model to differentiate patients based on molecular clusters. Our findings suggest that the loss of specific anoikis-related genes could significantly influence the prognosis, tumor microenvironment, and clinical features of LUAD patients. Furthermore, we validated the expression and functional roles of two pivotal prognostic genes, solute carrier family 2 member 1 (SLC2A1) and sphingosine kinase 1 (SPHK1), in regulating tumor cell viability, migration, apoptosis, and anoikis. These results offer valuable insights for future mechanistic investigations. In conclusion, this study provides new avenues for advancing our understanding of LUAD, improving prognostic assessments, and developing more effective immunotherapy strategies. [Display omitted] • The molecular characteristics associated with anoikis-related genes in lung adenocarcinoma were developed. • Anoikis-related gene prognostic model predicts lung adenocarcinoma prognosis and immunotherapy efficacy. • SLC2A1 and SPHK1 were highly expressed in lung adenocarcinoma. • SLC2A1 and SPHK1 knockdown decreased migration and increased anoikis in A549 and H1650 cells. [ABSTRACT FROM AUTHOR]

Silicone rubber foam (SiRF) is increasingly recognized as a versatile polymeric foam in industrial applications, owing to its broad temperature stability, weather resistance, and outstanding thermal insulation properties. However, the inherent flammability of SiRFs limits their application in certain areas. Previous attempts to enhance the flame retardancy of SiRFs typically involved the addition of various functional fillers and complex assembly strategies, which often lead to complicated processes, weak interfacial bonding, and potential degradation of other key properties. Therefore, preparing flame-retardant silicone rubber using a simple, low-filler, and large-scale production strategy is a significant challenge. In this study, we introduce a self-adhesive silicone rubber foam (Sa-SiRF) modified with residual Si-H reactive groups using a straightforward dip-coating method, employing graphene oxide nanosheets (GO) for this enhancement. The refined Sa-SiRF-GO nanocomposite exhibits exceptional mechanical properties across a temperature range of 30–200 °C, as well as remarkable surface hydrophobicity, evidenced by a high water contact angle (WCA) of approximately 142.6°. Additionally, this material demonstrates robust structural stability under varying environmental conditions (pH = 1, 7, 14), and an improved flame retardancy, with the limiting oxygen index (LOI) rising from 21.5 % to 27.0 %. Furthermore, a comprehensive analysis of the flame retardation mechanism of Sa-SiRF-GO samples was conducted. This flame-retardant silicone rubber foam, developed through a GO-enhanced dip-coating process, shows great promise for applications that require both flame retardancy and thermal insulation. Our approach, which leverages interfacial engineering to create GO-coated self-adhesive SiRF composites, effectively overcomes the limitations associated with high filler content and the complexities of traditional methods. This innovative technique is poised to spur further advancements in conventional PDMS foams and contribute to the development of advanced polymer foam nanocomposites. [Display omitted] • A multifunctional composite material was designed and fabricated by coating GO solution onto the surface of SiRF with residual Si-H bonds at room temperature. • The residual Si-H bonds on SiRF reacted with GO and enabled firm attachment of GO onto the SiRF surface. • Surface modification of SiRF was achieved by assembling an ultra-low content of GO onto the surface. • The optimized GO-Sa-SiRF exhibited excellent flame retardancy, hydrophobicity and stable mechanical performance. [ABSTRACT FROM AUTHOR]

Fire safety and protection are very important but still show a critical global challenge. Developing smart fire warning materials with combined passive flame retardancy and active fire alarm response is promising for reducing or avoiding serious fire disasters. Various nano-fillers (e.g., graphene oxide and MXene) based composite coatings have proven to be effective for monitoring critical fire risk of various combustible materials; however, they still show some shortages, for example, high cost, black color, poor weather resistance and complicated fabricating process. Here, we report a green, cost-effective and large-scale strategy for fabricating water-based 3D-titania/2D-montmorillonite/1D-celluose nanofiber (TiO 2 /MMT/CNF) hierarchical nanocomposite coatings with adjustable color, mechanical robustness, good flame retardancy, long-term weather resistance and sensitive fire cyclic alarming response. The formation of strong chemical bonding and hydrogen bonding interactions among polyethylene glycol molecules and multi-scale nano-fillers together with silane surface modification can produce good mechanical flexibility (folded crane), surface hydrophobicity (water contact angle of 152°) and exceptional flame resistance (good structure integrity after 120 s flame exposure). Notably, the optimized nanocomposite coatings exhibit ultrafast fire alarm response (<3.5 s) and stable fire cyclic alarming capability via the possible band transition of the TiO 2 network under flame. Further, such color-adjustable nanocomposite coatings can be easily fabricated for large-scale production, and they show excellent stable flame retardancy and stable fire cyclic warning response even after more than one-year outdoor exposure. This work provides a promising and green fire-warning nanocomposite coatings with combined passive-active functionalities for fire warning and protection. • Water-based nanocomposite coatings are fabricated by a facile and green approach. • Hierarchical TiO 2 /MMT/CNF interconnected networks are constructed and optimized. • The hybrid coatings exhibit good flame resistance and sensitive fire cyclic warning. • Color adjustable, weather resistant and stable outdoor fire warning are demonstrated. [ABSTRACT FROM AUTHOR]