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Abstract Analyzing how the underlying mechanism influences land value changes is essential to understanding the land market, which contributes to sustainable urbanization. Drawing upon a land transaction dataset, we analyze the determinants of urban land prices from 2008 to 2020, considering land supply and demands, with particular attention to natural restrictions and government interventions in China. The statistical analysis suggests that the inequality in industrial and commercial land prices rose from 2008 to 2015 and decreased after 2015. The inequality in residential land prices has kept rising from 2008 to 2020 because land finance is still essential to local government. Discriminatory price strategy for industrial land prices in eastern China is getting more popular. The regression models reveal the significant negative impact of natural restrictions on land price, and such impact from natural restrictions is decreasing after 2015. The market forces represented by city-level socioeconomic factors are becoming more important after 2015, indicating a more free land market in China. We also find the gaps between cities and counties in land prices are closing, which might benefit the recent development in rural and county region of China. These findings provide important insights into the transition in the land market in China from 2008 to 2020, which also contribute to a better understanding of the spatial inequality in the land market and the heterogeneity in different land-use types.

Polarization, a fundamental property of light, has been widely exploited from quantum physics to high-dimensional optics. Materials with intrinsic optical anisotropy, such as dichroism and birefringence, are central to light polarization control, including the development of polarizers, waveplates, mirrors and phase-matching elements. Therefore, materials with strong optical anisotropy have been long-sought. Recently, two-dimensional van der Waals crystals show high optical anisotropy but are mostly restricted to the out-of-plane direction, which is challenging to access in optical engineering. Here we report a two-dimensional van der Waals material, NbOCl2, that exhibits sharp electronic and structural contrast between its in-plane orthogonal axes. Colossal in-plane optical anisotropy—linear dichroism (up to 99% in ultraviolet) and birefringence (0.26–0.46 within a wide visible–near-infrared transparency window)—is experimentally demonstrated. Our findings provide a powerful and easy-to-access recipe for ultracompact integrated polarization industries. A two-dimensional van der Waals material, NbOCl2, that simultaneously exhibits near-unity linear dichroism (~99%) over 100 nm bandwidth in ultraviolet regime and large birefringence (0.26–0.46) within a wide visible–near-infrared transparency window is reported. [ABSTRACT FROM AUTHOR]

Hematological malignancies are a group of cancers that affect the blood, bone marrow, and lymphatic system. Cancer stem cells (CSCs) are believed to be responsible for the initiation, progression, and relapse of hematological malignancies. However, identifying and targeting CSCs presents many challenges. We aimed to develop a stemness index (HSCsi) to identify and guide the therapy targeting CSCs in hematological malignancies. We developed a novel one-class logistic regression (OCLR) algorithm to identify transcriptomic feature sets related to stemness in hematologic malignancies. We used the HSCsi to measure the stemness degree of leukemia stem cells (LSCs) and correlate it with clinical outcomes.We analyze the correlation of HSCsi with genes and pathways involved in drug resistance and immune microenvironment of acute myeloid leukemia (AML). HSCsi revealed stemness-related biological mechanisms in hematologic malignancies and effectively identify LSCs. The index also predicted survival and relapse rates of various hematologic malignancies. We also identified potential drugs and interventions targeting cancer stem cells (CSCs) of hematologic malignancies by the index. Moreover, we found a correlation between stemness and bone marrow immune microenvironment in AML. Our study provides a novel method and tool to assess the stemness degree of hematologic malignancies and its implications for clinical outcomes and therapeutic strategies. Our HSC stemness index can facilitate the precise stratification of hematologic malignancies, suggest possible targeted and immunotherapy options, and guide the selection of patients. [ABSTRACT FROM AUTHOR]

The retina is part of the central nervous system (CNS). Neurons in the CNS and retinal ganglion cells lack the ability to regenerate axons spontaneously after injury. The intrinsic axonal growth regulators, their interaction and roles that enable or inhibit axon growth are still largely unknown. This study endeavored to characterize the molecular characteristics under neurodegenerative and regenerative conditions. Data-Independent Acquisition Mass Spectrometry was used to map the comprehensive proteome of the regenerative retina from 14-day-old mice (Reg-P14) and adult mice after lens injury (Reg-LI) both showing regrowing axons in vitro, untreated adult mice, and retina from adult mice subjected to two weeks of elevated intraocular pressure showing degeneration. A total of 5750 proteins were identified (false discovery rate < 1%). Proteins identified in both Reg-P14 and Reg-LI groups were correlated to thyroid hormone, Notch, Wnt, and VEGF signaling pathways. Common interactors comprising E1A binding protein P300 (EP300), CREB binding protein (CBP), calcium/calmodulin dependent protein kinase II alpha (CaMKIIα) and sirtuin 1 (SIRT1) were found in both Reg-P14 and Reg-LI retinas. Proteins identified in both regenerating and degenerative groups were correlated to thyroid hormone, Notch, mRNA surveillance and measles signaling pathways, along with PD-L1 expression and the PD-1 checkpoint pathway. Common interactors across regenerative and degenerative retinas comprising NF-kappa-B p65 subunit (RELA), RNA-binding protein with serine-rich domain 1 (RNPS1), EP300 and SIN3 transcription regulator family member A (SIN3A). The findings from our study provide the first mapping of regenerative mechanisms across postnatal, mature and degenerative mouse retinas, revealing potential biomarkers that could facilitate neuro-regeneration in glaucoma. [ABSTRACT FROM AUTHOR]

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In addition to higher-order executive functions, underlying sensory processing ability is also thought to play an important role in Attention-Deficit/Hyperactivity Disorder (AD/HD). An event-related potential feature, the mismatch negativity, reflects the ability of automatic sensory change processing and may be correlated with AD/HD symptoms and executive functions. This study aims to investigate the characteristics of visual mismatch negativity (vMMN) in adults with AD/HD. Twenty eight adults with AD/HD and 31 healthy controls were included in this study. These two groups were matched in age, IQ and sex. In addition, both groups completed psychiatric evaluations, a visual ERP task used to elicit vMMN, and psychological measures about AD/HD symptoms and day-to-day executive functions. Compared to trols, the late vMMN (230–330 ms) was significantly reduced in the AD/HD group. Correlation analyses showed that late vMMN was correlated with executive functions but not AD/HD symptoms. However, further mediation analyses showed that different executive functions had mediated the relationships between late vMMN and AD/HD symptoms. Our findings indicate that the late vMMN, reflecting automatic sensory change processing ability, was impaired in adults with AD/HD. This impairment could have negative impact on AD/HD symptoms via affecting day-to-day executive functions. [ABSTRACT FROM AUTHOR]

A novel, parameter-independent multiscale correlational constitutive model has been devised to predict thermomechanical properties of Si-diamond-SiC and Si-diamond composites, including the effective elastic modulus, effective bulk modulus, effective shear modulus, effective Poisson’s ratio, average coefficients of thermal expansion as well as thermal conductivity. Based on this model, the effective thermomechanical response of two kinds of composites was simulated, and the underlying mechanisms of thermomechanical coupling between constituents were also critically evaluated. The findings were shown that the effective elastic properties of composites, including effective elastic modulus, effective bulk modulus, effective shear modulus, increased with diamond and SiC, and that the introduction of dispersed diamond with highly thermal conductivity and lowly thermal expansion significantly enhanced thermophysical properties of Si-diamond-SiC composites. The thermomechanical coupling of these composites was influenced by the effective elastic properties of composites and the disparity in the intrinsic properties of constituents. [ABSTRACT FROM AUTHOR]

Emergent phases often appear when the electronic kinetic energy is comparable to the Coulomb interactions. One approach to seek material systems as hosts of such emergent phases is to realize localization of electronic wavefunctions due to the geometric frustration inherent in the crystal structure, resulting in flat electronic bands. Recently, such efforts have found a wide range of exotic phases in the two-dimensional kagome lattice, including magnetic order, time-reversal symmetry breaking charge order, nematicity, and superconductivity. However, the interlayer coupling of the kagome layers disrupts the destructive interference needed to completely quench the kinetic energy. Here we demonstrate that an interwoven kagome network—a pyrochlore lattice—can host a three dimensional (3D) localization of electron wavefunctions. Meanwhile, the nonsymmorphic symmetry of the pyrochlore lattice guarantees all band crossings at the Brillouin zone X point to be 3D gapless Dirac points, which was predicted theoretically but never yet observed experimentally. Through a combination of angle-resolved photoemission spectroscopy, fundamental lattice model and density functional theory calculations, we investigate the novel electronic structure of a Laves phase superconductor with a pyrochlore sublattice, CeRu2. We observe evidence of flat bands originating from the Ce 4f orbitals as well as flat bands from the 3D destructive interference of the Ru 4d orbitals. We further observe the nonsymmorphic symmetry-protected 3D gapless Dirac cone at the X point. Our work establishes the pyrochlore structure as a promising lattice platform to realize and tune novel emergent phases intertwining topology and many-body interactions. [ABSTRACT FROM AUTHOR]

Purpose: Preoperative planning of maxillary anterior dental implant is a prerequisite to ensuring that the implant achieves the proper three-dimensional (3D) pose, which is essential for its long-term stability. However, the current planning process is labor-intensive and subjective, relying heavily on the surgeon's experience. Consequently, this paper proposes an automatic method for computing the optimal pose of the dental implant. Methods: The method adopts the principle of prosthetically guided dental implant placement. Initially, the prosthesis coordinate system is established to determine the implant candidate orientations. Subsequently, virtual slices of the maxilla in the buccal–palatal direction are generated according to the prosthesis position. By extracting feature points from the virtual slices, the implant candidate starting points are acquired. Then, a candidate pose set is obtained by combining these candidate starting points and orientations. Finally, a pose evaluation indicator is introduced to determine the optimal implant pose from this set. Results: Twenty-two cases were utilized to validate the method. The results show that the method could determine an ideal pose for the dental implant, with the average minimum distance between the implant and the left tooth root, the right tooth root, the palatal side, and the buccal side being 2.57 ± 0.53 mm, 2.59 ± 0.65 mm, 0.74 ± 0.19 mm, 1.83 ± 0.16 mm, respectively. The planning time was less than 9 s. Conclusion: Unlike manual planning, the proposed method can efficiently and accurately complete maxillary anterior dental implant planning, providing a theoretical analysis of the success rate of the implant. Thus, it has great potential for future clinical application. [ABSTRACT FROM AUTHOR]

To reduce the cost of fuel cell oxygen reduction reaction catalysts, the gels of polyethylene oxide-polypropylene oxide-polyethylene oxide (PEO-PPO-PEO) triblock copolymer (F127) and Fe(NO3)3·9H2O, formed in ethanol-hexane mixture by sol–gel method, were pyrolyzed to prepare the iron-doped carbon-based ORR catalysts. Among all the prepared samples, the Fe2-C, pyrolyzed at 800 ℃ with 0.6 mmol content of Fe(NO3)3·9H2O, possessed highly graphitized structures (ID/IG = 0.632), the highest specific surface area (251.3 m2/g) and the best electrochemical performance. Its onset potential and half-wave potential were 0.85 V vs. RHE and 0.71 V vs. RHE in 0.1 M KOH solution, respectively. Meanwhile, Fe2-C also had better stability and methanol tolerance than commercial 20% Pt/C. The results provided a convenient and low-cost method for preparing more efficient ORR catalysts for anion exchange membrane fuel cells. [ABSTRACT FROM AUTHOR]

Digital technology innovation (DTI) performs a critical role of attaining the synergy of pollution control and carbon reduction (PCCR). This study utilizes digital patents to measure DTI, and investigates the DTI’s PCCR effect based on panel data of 281 Chinese cities during 2006–2021. The result demonstrates that DTI can substantially promote the synergy of PCCR, especially in the central and western regions, low-grade cities, and resource-based cities. Additionally, this study reveals two mechanisms by which DTI promotes the synergy of PCCR: promoting tertiary industry agglomeration and fostering entrepreneurship. Simultaneously, we also conduct moderating mechanism analyses, finding that the higher the marketization degree, the better DTI can play its positive role in PCCR. These findings provide useful insights into promoting sustainable development and achieving synergistic efficiency of PCCR through DTI in the digital economy era. [ABSTRACT FROM AUTHOR]

The effect of the place-based policies on sustainable development has received substantial attention in economic research. In China, the industrial transformation and upgrading exemplary zone policy is a prominent example of such policies, as it targets old industrial and resource-based cities. The paper provides an early assessment of the policy’s capability to reduce carbon emissions. Specifically, we use data from old industrial and resource-based cities for the period of 2012–2019 and apply the difference-in-differences method to examine the policy’s influence on total carbon emissions and intensity. The results show that the policy can effectively reduce carbon emissions through reducing energy consumption, promoting urban green innovation and tertiary industry agglomeration. Compared to resource-based cities, cities with a low level of economic development and central, western cities, this impact is more notable in old industrial cities, cities with a high level of economic development and eastern cities. Additional analysis reveals that the policy has beneficial spatial radiation impacts on the nearby cities as well. In the meanwhile, the strategy may have a synergy effect on reducing carbon emissions and pollution. The results of this study may have an impact on how nations implement place-based policies and reduce carbon emissions. [ABSTRACT FROM AUTHOR]

The "brain-cognition-behavior" process is an important pathological pathway in children with attention-deficit/hyperactivity disorder (ADHD). Symptom guided multimodal neuroimaging fusion can capture behaviorally relevant and intrinsically linked structural and functional features, which can help to construct a systematic model of the pathology. Analyzing the multimodal neuroimage fusion pattern and exploring how these brain features affect executive function (EF) and leads to behavioral impairment is the focus of this study. Based on gray matter volume (GMV) and fractional amplitude of low frequency fluctuation (fALFF) for 152 ADHD and 102 healthy controls (HC), the total symptom score (TO) was set as a reference to identify co-varying components. Based on the correlation between the identified co-varying components and EF, further mediation analysis was used to explore the relationship between brain image features, EF and clinical symptoms. This study found that the abnormalities of GMV and fALFF in ADHD are mainly located in the default mode network (DMN) and prefrontal-striatal-cerebellar circuits, respectively. GMV in ADHD influences the TO through Metacognition Index, while fALFF in HC mediates the TO through behavior regulation index (BRI). Further analysis revealed that GMV in HC influences fALFF, which further modulates BRI and subsequently affects hyperactivity-impulsivity score. To conclude, structural brain abnormalities in the DMN in ADHD may affect local brain function in the prefrontal-striatal-cerebellar circuit, making it difficult to regulate EF in terms of inhibit, shift, and emotional control, and ultimately leading to hyperactive-impulsive behavior. [ABSTRACT FROM AUTHOR]

Highlights: Electrodeposited amorphous IrOx thin electrodes are first developed for proton exchange membrane electrolyzer cells. An ultralow loading of 0.075 mg cm−2 archives superior performance to catalyst-coated membrane (2 mg cm−2). > 96% of catalyst savings and > 42-fold higher catalyst utilization are demonstrated. Herein, ionomer-free amorphous iridium oxide (IrOx) thin electrodes are first developed as highly active anodes for proton exchange membrane electrolyzer cells (PEMECs) via low-cost, environmentally friendly, and easily scalable electrodeposition at room temperature. Combined with a Nafion 117 membrane, the IrOx-integrated electrode with an ultralow loading of 0.075 mg cm−2 delivers a high cell efficiency of about 90%, achieving more than 96% catalyst savings and 42-fold higher catalyst utilization compared to commercial catalyst-coated membrane (2 mg cm−2). Additionally, the IrOx electrode demonstrates superior performance, higher catalyst utilization and significantly simplified fabrication with easy scalability compared with the most previously reported anodes. Notably, the remarkable performance could be mainly due to the amorphous phase property, sufficient Ir3+ content, and rich surface hydroxide groups in catalysts. Overall, due to the high activity, high cell efficiency, an economical, greatly simplified and easily scalable fabrication process, and ultrahigh material utilization, the IrOx electrode shows great potential to be applied in industry and accelerates the commercialization of PEMECs and renewable energy evolution. [ABSTRACT FROM AUTHOR]

Nanofluidic membranes offer exceptional promise for osmotic energy conversion, but the challenge of balancing ionic selectivity and permeability persists. Here, we present a bionic nanofluidic system based on two-dimensional (2D) copper tetra-(4-carboxyphenyl) porphyrin framework (Cu-TCPP). The inherent nanoporous structure and horizontal interlayer channels endow the Cu-TCPP membrane with ultrahigh ion permeability and allow for a power density of 16.64 W m−2, surpassing state of-the-art nanochannel membranes. Moreover, leveraging the photo-thermal property of Cu-TCPP, light-controlled ion active transport is realized even under natural sunlight. By combining solar energy with salinity gradient, the driving force for ion transport is reinforced, leading to further improvements in energy conversion performance. Notably, light could even eliminate the need for salinity gradient, achieving a power density of 0.82 W m−2 in a symmetric solution system. Our work introduces a new perspective on developing advanced membranes for solar/ionic energy conversion and extends the concept of salinity energy to a notion of ionic energy.With porous structure and photothermal conversion performance, Cu-porphyrin framework membranes exhibit high efficiency in the extraction of electrical energy from salt solutions, opening avenues for renewable energy. [ABSTRACT FROM AUTHOR]

Context: Transition metal chalcogenides are excellent anode materials for calcium ion batteries (CIBs). In this study, the structural stability, electronic structure, and diffusion barrier of bulk XTe2 (X = Mo, W) were studied by first-principles calculations within the framework of density functional theory. The density of states analysis shows the metal behavior of XTe2 (X = Mo, W) during calcification. The voltage ranges of CayMoTe2 and CayWTe2 are 1.53–0.45 V and 1.48–0.41 V (y = 0–5), respectively. The diffusion barrier of Ca+ through XTe2 indicates that the compressive strain promotes the diffusion of calcium through XTe2. XTe2 is considered to be a promising electrode material for CIBs. Methods: In this paper, the transition metal chalcogenides model is constructed by Material Studio 8.0, and the first-principles calculation is carried out by CASTEP module. [ABSTRACT FROM AUTHOR]

This paper studies the nonlinear dynamic characteristics of the simply supported and clamped graphene platelets reinforced porous plates with magneto-electro-elastic (MEE) sheets (GPLRP-MEE) subjected to axial impact loads. Three kinds of impacts, i.e. sinusoidal, exponential, and rectangular loads, are considered in this research. Grounded on the refined third-order shear deformation theory and the von Kármán nonlinearity, the nonlinear governing equations are transformed into a group of ordinary differential equations with the aid of the Galerkin method. Then, the fourth-order Runge–Kutta approach is adopted to obtain the nonlinear behaviours of the GPLRP-MEE plate under the impact load. After validating with the published literature, some parametric experiments are conducted to investigate the effects of the pulse load configurations, the internal structure of the GPLRP core layer, the dimensions of MEE sheets, the external magnetic and electric potentials, and the Winkler–Pasternak foundation moduli on the dynamic behaviours of the structure. According to the numerical results, it is revealed that the rectangular and sinusoidal loads pose a greater threat to the structure than the exponential one. [ABSTRACT FROM AUTHOR]

In this paper, a nontoxic and biocompatible hydrogel optic fiber Fe3+ sensor is presented. Nitrogen carbon dots (NCDs) as fluorescence indicators are prepared by a one-step hydrothermal method using citric acid as the carbon source and urea as the nitrogen source. Transmission electron microscopy images and x-ray diffraction analysis show that the average size of the NCDs is 3.94 nm, and they have an amorphous structure. X-ray photoelectron spectroscopy shows that nitrogen is effectively doped into the framework of the NCDs. The hydrogel optical fiber with a core-cladding structure is fabricated using different concentrations of polyethylene glycol diacrylate as precursor. The NCDs were incorporated into the core of the hydrogel fiber for Fe3+ sensing. NCDs were selectively quenched by Fe3+ diffused into the hydrogel fiber. The sensitivity of the system was optimized by varying the concentration of doped NCDs. The fluorescence intensity decreased with the increase in temperature, with the greatest sensitivity at 24°C. By measuring the fluorescence intensity, the quantitative and selective detection of iron ions was realized in the range of 0–60 um, and the detection limit was 0.802 um. It has good application prospects in the detection of Fe3+ and can realize the detection of implanted biological Fe3+ in vivo. [ABSTRACT FROM AUTHOR]

Nanochannel membranes have demonstrated remarkable potential for osmotic energy harvesting; however, their efficiency in practical high-salinity systems is hindered by reduced ion selectivity. Here, we propose a dual-separation transport strategy by constructing a two-dimensional (2D) vermiculite (VMT)-based heterogeneous nanofluidic system via an eco-friendly and scalable method. The cations are initially separated and enriched in micropores of substrates during the transmembrane diffusion, followed by secondary precise sieving in ultra-thin VMT laminates with high ion flux. Resultantly, our nanofluidic system demonstrates efficient osmotic energy harvesting performance, especially in hypersaline environment. Notably, we achieve a maximum power density of 33.76 W m−2, a 6.2-fold improvement with a ten-fold increase in salinity gradient, surpassing state-of-the-art nanochannel membranes under challenging conditions. Additionally, we confirm practical hypersaline osmotic power generation using various natural salt-lake brines, achieving a power density of 25.9 W m−2. This work triggers the hopes for practical blue energy conversion using advanced nanoarchitecture. Harvesting osmotic energy in real world high-salinity solutions poses great challenges, authors propose nanofluidic membranes with a dual separation mechanism based on vermiculite nanosheets with an isomorphic substitution structure, showing excellent energy conversion in hypersaline environments. [ABSTRACT FROM AUTHOR]

Acute hypobaric hypoxic brain damage is a potentially fatal high-altitude sickness. Autophagy plays a critical role in ischemic brain injury, but its role in hypobaric hypoxia (HH) remains unknown. Here we used an HH chamber to demonstrate that acute HH exposure impairs autophagic activity in both the early and late stages of the mouse brain, and is partially responsible for HH-induced oxidative stress, neuronal loss, and brain damage. The autophagic agonist rapamycin only promotes the initiation of autophagy. By proteome analysis, a screen showed that protein dynamin2 (DNM2) potentially regulates autophagic flux. Overexpression of DNM2 significantly increased the formation of autolysosomes, thus maintaining autophagic flux in combination with rapamycin. Furthermore, the enhancement of autophagic activity attenuated oxidative stress and neurological deficits after HH exposure. These results contribute to evidence supporting the conclusion that DNM2-mediated autophagic flux represents a new therapeutic target in HH-induced brain damage. [ABSTRACT FROM AUTHOR]

Accurate navigation and targeting are critical for neurological interventions including biopsy and deep brain stimulation. Real-time image guidance further improves surgical planning and MRI is ideally suited for both pre- and intra-operative imaging. However, balancing spatial and temporal resolution is a major challenge for real-time interventional MRI (i-MRI). Here, we proposed a deep unrolled neural network, dubbed as LSFP-Net, for real-time i-MRI reconstruction. By integrating LSFP-Net and a custom-designed, MR-compatible interventional device into a 3 T MRI scanner, a real-time MRI-guided brain intervention system is proposed. The performance of the system was evaluated using phantom and cadaver studies. 2D/3D real-time i-MRI was achieved with temporal resolutions of 80/732.8 ms, latencies of 0.4/3.66 s including data communication, processing and reconstruction time, and in-plane spatial resolution of 1 × 1 mm2. The results demonstrated that the proposed method enables real-time monitoring of the remote-controlled brain intervention, and showed the potential to be readily integrated into diagnostic scanners for image-guided neurosurgery. Real-time MRI provides accurate navigation and targeting for neurological interventions. Here, the authors propose a deep unrolled neural network for MRI reconstruction that enables real-time monitoring of remote-controlled brain interventions and can be integrated into diagnostic scanners. [ABSTRACT FROM AUTHOR]

Selecting the panel data for 280 Chinese cities during 2011–2019, we first measure the digital infrastructure (DI) development level in each city by adopting the entropy method and then employ the two-way fixed effect model to examine the effect and its mechanisms of DI on urban green innovation (GI). Empirical results robustly show that DI can significantly promote urban GI, especially in large, high-grade, and high-level economic development cities. Mechanism analysis suggests that DI mainly promotes urban GI through three channels: promoting economic agglomeration, boosting digital inclusive finance (DIF) development, and raising public environmental attention. Meanwhile, the stronger the intellectual property protection (IPP) by local governments, the greater the promoting effect of DI on urban GI. Further research shows that GI can reduce carbon dioxide (CO2) emissions in both total and intensity dimensions. Our findings not only demonstrate the positive externality effect of DI, but also provide valuable references for government departments to further layout DI in the future. [ABSTRACT FROM AUTHOR]

Transcatheter aortic valve replacement (TAVR) has recently emerged as an effective treatment for patients with severe symptomatic aortic stenosis. Accurate prediction of postoperative conduction disturbance after TAVR is crucial for successful surgery planning. Most current risk prediction models for conduction disturbance rely on monomodal data methods, such as images. However, predicting conduction disturbance based on multimodal features becomes a challenge. We propose a new memory-augmented graph neural network (MemGCN) to deal with this challenge. The GCN in the proposed network is constructed by taking the patient's image features as nodes' features and creating the edges based on the patient's clinical features, thus effectively fusing the patients' images and clinical feature information. Moreover, the traditional GCN model trains feature extractors and GCNs independently due to limited computing resources, which can negatively impact the feature learning process. We introduce the memory bank and propose a local update learning algorithm to address this issue. Specifically, the proposed method connects the feature extractors and GCN through a memory bank. The CNN module extracts patients' features from their ECG images and updates the memory bank. The GCN constructs the graph using the patients' characteristics in the memory bank as node features. In this way, the node features are cached in the memory bank and gradually updated at each optimization iteration so that the feature extractors and GCN are optimized jointly. The experiments on a real-world TAVR dataset show the proposed method's superior performance. It improves the prediction accuracy by over 4 % compared to the traditional GCN model. Furthermore, to demonstrate the applicability of our proposed method to other multimodal data analysis tasks, we evaluate the performance of the proposed method on an ocular disease intelligent recognition benchmark. The proposed method achieves competitive prediction performance. [ABSTRACT FROM AUTHOR]

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: The relationships between sleep quality and sleep hygiene awareness in the Chinese population were unclear. We aimed to investigate the associations and related factors between sleep quality and sleep hygiene awareness in adults and to identify the most central domain for sleep quality using network analysis. Methods: A cross-sectional survey was conducted from April 22 to May 5, 2020. Adults (18 years old or above) who had access to smartphones were invited to participate in this survey. The Pittsburg Sleep Quality Index (PSQI) and the Sleep Hygiene Awareness and Practice Scale (SHAPS) were used to evaluate the sleep quality and sleep hygiene awareness of the participants. Propensity score matching (PSM) was used as sensitivity analysis to reduce the confounding effects. Multiple logistic regression was performed to evaluate the associations. The R packages "bootnet" and "qgraph" were used to estimate the connection and calculate the network centrality indices between good and poor sleepers. Results: In total, 939 respondents were included in the analysis. Of them, 48.8% (95% CI: 45.6–52.0%) were identified as poor sleepers. Participants with nervous system diseases, psychiatric diseases, and psychological problems were more likely to have poor sleep quality. The notion that using sleep medication regularly was beneficial to sleep was associated with poor sleep quality. Similarly, the notion that waking up at the same time each day disrupted sleep was also associated with poor sleep quality. The findings were consistent before and after PSM. Subjective sleep quality was the most central domain for sleep quality in good and poor sleepers. Conclusion: Poor sleep quality was positively associated with certain sleep hygiene notions in Chinese adults. Effective measures such as self-relief, sleep hygiene education, and cognitive behavioral treatment may have been needed to improve sleep quality, especially during the COVID-19 outbreak. [ABSTRACT FROM AUTHOR]

Astrocytoma and glioblastoma (GB) are reclassified subtypes of adult diffuse gliomas based on distinct isocitrate dehydrogenase (IDH) mutation in the fifth edition of the WHO Classification of Tumors of the Central Nervous System. The recurrence of gliomas is a common and inevitable challenge, and analyzing the distinct genomic alterations in astrocytoma and GB could provide insights into their progression. This study conducted a longitudinal investigation, utilizing whole-exome sequencing, on 65 paired primary/recurrent gliomas. It examined chromosome arm aneuploidies, copy number variations (CNVs) of cancer-related genes and pathway enrichments during the relapse. The veracity of these findings was verified through the integration of our data with multiple public resources and by corroborative immunohistochemistry (IHC). The results revealed a greater prevalence of aneuploidy changes and acquired CNVs in recurrent lower grade astrocytoma than in relapsed grade 4 astrocytoma and GB. Larger aneuploidy changes were predictive of an unfavorable prognosis in lower grade astrocytoma (P < 0.05). Further, patients with acquired gains of 1q, 6p or loss of 13q at recurrence had a shorter overall survival in lower grade astrocytoma (P < 0.05); however, these prognostic effects were confined in grade 4 astrocytoma and GB. Moreover, acquired gains of 12 genes (including VEGFA) on 6p during relapse were associated with unfavorable prognosis for lower grade astrocytoma patients. Notably, elevated VEGFA expression during recurrence corresponded to poorer survival, validated through IHC and CGGA data. To summarize, these findings offer valuable insights into the progression of gliomas and have implications for guiding therapeutic approaches during recurrence. [ABSTRACT FROM AUTHOR]

Urban green technology innovation (UGTI) is strongly tied to environmental regulations, which can successfully balance economic and environmental benefits. Selecting the panel data for 280 Chinese cities during 2006–2019, we take the energy saving and emission reduction (ESER) demonstration city policy as a quasi-natural experiment, then employ the difference-in-differences model to examine the effect and its mechanisms of ESER policy on UGTI. Empirical results show that the ESER policy can significantly promote UGTI, especially in the western region, the northern region, and cities with weak government environmental attention. At the same time, China's ESER policy has a stronger promoting effect on UGTI in cities where environmental targets are more stringent. Mechanism analysis shows that the policy mainly promotes UGTI through two channels: increasing the proportion of science and technology expenditure in fiscal expenditure and upgrading the structure of the industry. In addition, we find that the development of UGTI has positive environmental effects by lowering carbon emissions and air pollution. The findings not only enrich the literature on environmental regulation policies and UGTI at the theoretical level, but also provide references for policymakers to specific implementation methods in further enforcing environmental regulation policies to improve UGTI. [ABSTRACT FROM AUTHOR]

In multiagent systems, agents usually do not have complete information of the whole system, which makes the analysis of such systems hard. The incompleteness of information is normally modelled by means of accessibility relations, and the schedulers consistent with such relations are called uniform. In this paper, we consider probabilistic multiagent systems with accessibility relations and focus on the model checking problem with respect to the probabilistic epistemic temporal logic, which can specify both temporal and epistemic properties. However, the problem is undecidable in general. We show that it becomes decidable when restricted to memoryless uniform schedulers. Then, we present two algorithms for this case: one reduces the model checking problem into a mixed integer non-linear programming (MINLP) problem, which can then be solved by Satisfiability Modulo Theories (SMT) solvers, and the other is an approximate algorithm based on the upper confidence bounds applied to trees (UCT) algorithm, which can return a result whenever queried. These algorithms have been implemented in an existing model checker and then validated on experiments. The experimental results show the efficiency and extendability of these algorithms, and the algorithm based on UCT outperforms the one based on MINLP in most cases. [ABSTRACT FROM AUTHOR]

Nav1.8, a tetrodotoxin-resistant voltage-gated sodium channels (VGSCs) subtype encoded by SCN10A, which plays an important role in the production and transmission of peripheral neuropathic pain signals. Studies have shown that VGSCs may be key targets of MicroRNAs (miRNAs) in the regulation of neuropathic pain. In our study, bioinformatics analysis showed that the targeting relationship between miR-3584-5p and Nav1.8 was the most closely. The purpose of this study was to investigate the roles of miR-3584-5p and Nav1.8 in neuropathic pain. The effects of miR-3584-5p on chronic constriction injury (CCI)-induced neuropathic pain in rats was investigated by intrathecal injection of miR-3584-5p agomir (an agonist, 20 μM, 15 μL) or antagomir (an antagonist, 20 μM, 15 μL). The results showed that over-expression of miR-3584-5p aggravated neuronal injury by hematoxylin–eosin (H&E) staining and mechanical/thermal hypersensitivity in CCI rats. MiR-3584-5p indirectly inhibited the expression of Nav1.8 by up-regulating the expression of key proteins in the ERK5/CREB signaling pathway, and also inhibited the current density of the Nav1.8 channel, changed its channel dynamics characteristic, thereby accelerating the transmission of pain signals, and further aggravating pain. Similarly, in PC12 and SH-SY5Y cell cultures, miR-3584-5p increased the level of reactive oxygen species (ROS) and inhibited mitochondrial membrane potential (Δψm) in the mitochondrial pathway, decreased the ratio of apoptosis-related factor Bcl-2/Bax, and thus promoted neuronal apoptosis. In brief, over-expression of miR-3584-5p aggravates neuropathic pain by directly inhibiting the current density of Nav1.8 channel and altering its channel dynamics, or indirectly inhibiting Nav1.8 expression through ERK5/CREB pathway, and promoting apoptosis through mitochondrial pathway. [ABSTRACT FROM AUTHOR]

Purpose: The design of a maxillary anterior tooth crown is crucial to post-treatment aesthetic appearance. Currently, the design is performed manually or by semi-automatic methods, both of which are time-consuming. As such, automatic methods could improve efficiency, but existing automatic methods ignore the relationships among crowns and are primarily used for occlusal surface reconstruction. In this study, the authors propose a novel method for automatically reconstructing a three-dimensional model of the maxillary anterior tooth crown. Method: A pose estimation network (PEN) and a shape estimation network (SEN) are developed for jointly estimating the crown point cloud. PEN is a regression network used for estimating the crown pose, and SEN is based on an encoder–decoder architecture and used for estimating the initial crown point cloud. First, SEN adopts a transformer encoder to calculate the shape relationship among crowns to ensure that the shape of the reconstructed point cloud is precise. Second, the initial point cloud is subjected to pose transformation according to the estimated pose. Finally, the iterative method is used to form the crown mesh model based on the point cloud. Result: The proposed method is evaluated on a dataset with 600 cases. Both SEN and PEN are converged within 1000 epochs. The average deviation between the reconstructed point cloud and the ground truth of the point cloud is 0.22 mm. The average deviation between the reconstructed crown mesh model and the ground truth of the crown model is 0.13 mm. Conclusion: The results show that the proposed method can automatically and accurately reconstruct the three-dimensional model of the missing maxillary anterior tooth crown, which indicates the method has promising application prospects. Furthermore, the reconstruction time takes less than 11 s for one case, demonstrating improved work efficiency. [ABSTRACT FROM AUTHOR]

Background: Roux-en-Y (R-Y) anastomoses have been widely used in distal gastrectomy, while the incidence of Roux stasis syndrome remains common. Uncut R-Y anastomosis maintains the neuromuscular continuity, thus avoiding the ectopic pacemaker of the Roux limb and reducing the occurrence of Roux stasis. However, retrospective studies of Uncut R-Y anastomosis remain scarce and randomized controlled trials have not been reported. Methods: We conducted a randomized controlled trial to compare the surgical safety, nutritional status, and postoperative quality of life (QOL) between uncut and classic Roux-en-Y (R-Y) reconstruction patients. Patients with Stage I gastric cancer were randomly enrolled and underwent laparoscopic distal gastrectomy followed by uncut or classic R-Y reconstruction. Body mass index and blood test were used to evaluate the nutritional status. QOL was evaluated using European Organization for Research and Treatment of Cancer QOL Questionnaire (STO22) and laboratory examinations at postoperative month (POM) 3, 6, 9, and 12. Computed tomography scanning was used to evaluate the skeletal muscle index (SMI) at POM 6 and 12. Endoscopy was performed at POM 12. Results: Operation time, blood loss, time to recovery, complication morbidities, and overall survival were similar between the two groups. Compared with the classic R-Y group, the uncut R-Y group displayed a significantly decreased QOL at POM 9, possibly due to loop recanalization, determined to be occupied 34.2% of the uncut R-Y group. Post-exclusion of recanalization, the QOL was still higher in the classic R-Y group than in the uncut R-Y group, despite their hemoglobin and total protein levels being better than those in the classic R-Y group. Preoperative pre-albumin level and impaired fasting glycemia significantly correlated with the postoperative recanalization. Conclusion: We found no significant benefit of uncut over classic R-Y reconstruction which challenges the superiority of the uncut R-Y reconstruction. Trial registration: ClinicalTrials.gov Identifier: NCT02644148. [ABSTRACT FROM AUTHOR]

Gliomas are aggressive brain tumors characterized by uncontrolled cell proliferation. FAM64A, a cell cycle-related gene, has been found to promote cell proliferation in various tumors, including gliomas. However, the regulatory mechanism and clinical significance of FAM64A in gliomas remain unclear. In this study, we investigated FAM64A expression in gliomas with different grades and constructed FAM64A silenced cell lines to study its functions. Our results demonstrated that FAM64A was highly expressed in glioblastoma (P < 0.001) and associated with a poor prognosis (P < 0.001). Expression profiles at the single-cell resolution indicated FAM64A could play a role in a cell-cycle-dependent way to promote glioma cell proliferation. We further observed that FAM64A silencing in glioma cells resulted in disrupted proliferation and migration ability, and increased cell accumulation in the G2/M phase (P = 0.034). Additionally, TGF-β signaling upregulates FAM64A expression, and SMAD4 and FAM64A co-localize in high-grade glioma tissues. We found FAM64A knockdown inhibited TGF-β-induced epithelial-mesenchymal transition in glioma. Our findings suggest that FAM64A could serve as a diagnostic and therapeutic target in gliomas. [ABSTRACT FROM AUTHOR]

Intracerebral hemorrhage (ICH) is a devastating stroke type with high mortality and disability. Inflammatory response induced by macrophages/microglia (M/Ms) activation is one of the leading causes of brain damage after ICH. The anti-inflammatory effects of resveratrol (RSV) have already been evaluated in several models of central nervous system disease. Therefore, we designed the current study to assess the role of RSV in ICH and explore its downstream mechanism related to Sirt3. The autologous artery blood injection was administrated to create an ICH mouse model. M/Ms-specific Sirt3 knockout Sirt3f/f; CX3CR1-Cre (Sirt3 cKO) mouse was used to evaluate the role of Sirt3 on RSV treatment. Neuronal function and hematoma volume were assessed to indicate brain damage. The pro-inflammatory marker (CD16) and cytokine (TNF) were measured to evaluate the inflammatory effects. Our results showed that RSV treatment alleviates neurological deficits, reduces cell death, and increases hematoma clearance on day 7 after ICH. In addition, RSV effectively suppressed CD16+ M/Ms activation and decreased TNF release. In Sirt3 cKO mice, the protective effects of RSV were abolished, indicating the potential mechanism of RSV was partially due to Sirt3 signaling activation. Therefore, RSV could be a promising candidate and therapeutic agent for ICH and Sirt3 could be a potential target to inhibit inflammation. [ABSTRACT FROM AUTHOR]

Naturally occurring canine cancers have remarkable similarities to their human counterparts. To better understand these similarities, we investigated 671 client-owned dogs from 96 breeds with 23 common tumor types, including those whose mutation profile are unknown (anal sac carcinoma and neuroendocrine carcinoma) or understudied (thyroid carcinoma, soft tissue sarcoma and hepatocellular carcinoma). We discovered mutations in 50 well-established oncogenes and tumor suppressors, and compared them to those reported in human cancers. As in human cancer, TP53 is the most commonly mutated gene, detected in 22.5% of canine tumors overall. Canine tumors share mutational hotspots with human tumors in oncogenes including PIK3CA, KRAS, NRAS, BRAF, KIT and EGFR. Hotspot mutations with significant association to tumor type include NRAS G61R and PIK3CA H1047R in hemangiosarcoma, ERBB2 V659E in pulmonary carcinoma, and BRAF V588E (equivalent of V600E in humans) in urothelial carcinoma. Our findings better position canines as a translational model of human cancer to investigate a wide spectrum of targeted therapies. [ABSTRACT FROM AUTHOR]

The presence of water strongly influences structure, dynamics and properties of ion-containing soft matter. Yet, the hydration of such matter is not well understood. Here, we show through a large study of monovalent π-conjugated polyelectrolytes that their reversible hydration, up to several water molecules per ion pair, occurs chiefly at the interface between the ion clusters and the hydrophobic matrix without disrupting ion packing. This establishes the appropriate model to be surface hydration, not the often-assumed internal hydration of the ion clusters. Through detailed analysis of desorption energies and O–H vibrational frequencies, together with OPLS4 and DFT calculations, we have elucidated key binding motifs of the sorbed water. Type-I water, which desorbs below 50 °C, corresponds to hydrogen-bonded water clusters constituting secondary hydration. Type-II water, which typically desorbs over 50–150 °C, corresponds to water bound to the anion under the influence of a proximal cation, or to a cation‒anion pair, at the cluster surface. This constitutes primary hydration. Type-III water, which irreversibly desorbs beyond 150 °C, corresponds to water kinetically trapped between ions. Its amount varies strongly with processing and heat treatment. As a consequence, hygroscopicity—which is the water sorption capacity per ion pair—depends not only on the ions, but also their cluster morphology.Moisture sorption is a common occurrence in polyelectrolyte systems, but not yet fully understood. Here the authors, combining thermogravimetric analysis, vibrational spectroscopy, molecular force field and quantum chemical computations, provide insights into the binding of water in monovalent conjugated polyelectrolytes, establishing a model of the surface hydration of the ion clusters. [ABSTRACT FROM AUTHOR]

Highlights: 4-nm-thick Pt nanosheets (Pt-NSs) are electrochemically grown on Ti substrates for hydrogen evolution reactions. Highly uniform Pt-NS surface coverage with an ultralow loading of 0.015 mgPt cm−2 is achieved. 99.5% catalyst savings and about 237-fold higher catalyst utilization are demonstrated. Nanostructured catalyst-integrated electrodes with remarkably reduced catalyst loadings, high catalyst utilization and facile fabrication are urgently needed to enable cost-effective, green hydrogen production via proton exchange membrane electrolyzer cells (PEMECs). Herein, benefitting from a thin seeding layer, bottom-up grown ultrathin Pt nanosheets (Pt-NSs) were first deposited on thin Ti substrates for PEMECs via a fast, template- and surfactant-free electrochemical growth process at room temperature, showing highly uniform Pt surface coverage with ultralow loadings and vertically well-aligned nanosheet morphologies. Combined with an anode-only Nafion 117 catalyst-coated membrane (CCM), the Pt-NS electrode with an ultralow loading of 0.015 mgPt cm−2 demonstrates superior cell performance to the commercial CCM (3.0 mgPt cm−2), achieving 99.5% catalyst savings and more than 237-fold higher catalyst utilization. The remarkable performance with high catalyst utilization is mainly due to the vertically well-aligned ultrathin nanosheets with good surface coverage exposing abundant active sites for the electrochemical reaction. Overall, this study not only paves a new way for optimizing the catalyst uniformity and surface coverage with ultralow loadings but also provides new insights into nanostructured electrode design and facile fabrication for highly efficient and low-cost PEMECs and other energy storage/conversion devices. [ABSTRACT FROM AUTHOR]

Highly asymmetric bimetal nanostructures, such as AuPt nanorings and Au–Ag nanoplates, possess superior plasmonic properties owing to various synergistic effects between different components and diversified morphologies. Herein, we report a controllable growth of asymmetric Pt-Au nanoplates and Au@Pt nanorings with excellent photothermal conversion efficiency. Hexagonal Au nanoplates are used as templates, which is achieved through a transformation reaction from Au nanotriangles. Pt-Au nanoplates are prepared by a site-selective growth of Pt on the rim of obtained hexagonal Au nanoplates. Subsequently, Pt nanorings are obtained by a selective etching of Au, and a regrowth of Au on the Pt nanorings leads to bimetallic Au@Pt nanorings. The evolution of extinction spectra during the whole process is carefully studied. Under irradiation by 1064-nm laser located in the second near-infrared bio-window, the Pt-Au nanoplates exhibit excellent photothermal conversion, better than that of initial Au nanotriangles and hexagonal Au nanoplates with same mass concentration. The improvement of photothermal effect can be ascribed to the strong surface plasmon resonances and coupling between Au and Pt. [ABSTRACT FROM AUTHOR]

Objective: To identify the alterations of CD8+ T cells in blood and labial salivary glands (LSGs) of patients with Primary Sjögren's syndrome (pSS). Methods: Blood samples from 24 pSS patients were assayed for CD38+ HLA-DR+ CD8+ (activated CD8+, aCD8+) T cells and serum IFN-γ and TNF-α, using flow cytometry and ELISA respectively, and compared with samples from 27 healthy controls. Immunohistochemistry was used to count CD8+ T cells in LSG tissues of 24 pSS patients and of 6 control patients with normal pathology. Results: pSS patients had more aCD8+ T cells than aCD4+ T cells (medians 33.13% vs. 9.43%, p < 0.0001), and had an increased level of aCD8+ T cells (medians 33.13% vs. 16.48%, p < 0.0001) and serum IFN-γ (medians 1026 pg/mL vs. 0.00 pg/mL, p < 0.0001) compared to the healthy controls. The levels of aCD8+ T cells and IFN-γ were both significant positively correlated with European League Against Rheumatism Sjögren's Syndrome Disease Activity Index, IgG, anti-nuclear antibodies, rheumatoid factor. The LSGs focus score (FS) ≥1 group had more CD8+ T cell counts than 0≤ FS <1 group and control group (medians 256/mm2 vs. 126/mm2 and 256/mm2 vs. 64/mm2 respectively, both p < 0.05). Conclusion: The aCD8+ T cells and IFN-γ are positively correlated with each other, and predominantly elevated in the blood of pSS patients. In the LSG tissues of pSS, CD8+ T cell counts increase with severity of the lesions. CD8+ T cells may play crucial role in the pathogenesis of pSS. Key Points • Primary Sjögren's syndrome (pSS) is a chronic and systemic autoimmune disease. pSS patients had elevated blood levels of CD38+HLA-DR+CD8+T cells and IFN-γ. • The CD38+HLA-DR+CD8+T cells positively correlated with disease parameters and serum IFN-γ. • The salivary glands of pSS patients had appreciable CD8+lymphocyte infiltration. CD8+T cells may play crucial role in the pathogenesis of pSS. [ABSTRACT FROM AUTHOR]

With the introduction of emerging technologies such as cloud computing, the railway communication network has the characteristics of complex structure and blurred boundaries, which leads to a series of security threats including information leakage and malicious access. Specifically, the third-party cloud services are difficult to be supervised, and network traffic is untrustworthy. To ensure system security, we propose a zero-trust security model in this paper. Then, we introduce blockchain and Merkle tree to build a distributed identity storage scheme for guaranteeing reliable, confidential and efficient data updates, and improving authentication efficiency. Furthermore, the proxy was introduced for two-way authentication with cloud servers, so that internal and external threats could be counteracted. Moreover, reputation assessment mechanism has been adopted to reduce the possibility of nodes accessing malicious cloud services. Performance analysis demonstrated that the proposed security model is able to enhance the security, efficiency and stability of the system, and consequently can guarantee the safety and reliability of railway transportation. [ABSTRACT FROM AUTHOR]

Green technology innovation shoulders the dual task of green development and innovation leading. It is an inevitable choice for China to achieve the carbon peak and neutrality goal and promote high-quality economic development by effectively stimulating green innovation vitality and improving green innovation capacity. In this context, from the perspective of institutional quality, this study takes the anti-corruption campaign launched since the 18th National Congress of the Chinese Communist Party as a quasi-natural experiment, constructs an intensity difference-in-differences (DID) model, and tests the impact effect and mechanism of the anti-corruption campaign on regional green technology innovation. It is found that the anti-corruption campaign has significantly improved the level of regional green technology innovation. This conclusion still holds after a series of robustness tests such as parallel trend test, placebo test, and instrumental variable estimation. The results of mechanism analysis show that the anti-corruption campaign is helpful to increase foreign direct investment and change the government's fiscal expenditure bias, thus promoting the improvement of green technology innovation level. Heterogeneity analysis shows that the promotion effect of anti-corruption campaign on green technology innovation is more significant in eastern and southern regions. At the same time, the lower the degree of government intervention, the greater the protection of intellectual property rights, and the stronger the environmental governance, the greater the promoting effect of the anti-corruption campaign on green technology innovation. Further research shows that the improvement of the level of green technology innovation is conducive to the realization of the "dual control" goal of total and intensity of carbon emissions. This study proves the positive externality of anti-corruption campaign from the perspective of green technology innovation and provides new empirical evidence for the advantageous theory of anti-corruption. [ABSTRACT FROM AUTHOR]

How to reduce or even eliminate the influence of gravity on boiling heat transfer, how to restrain the emergence of abnormally large bubbles and how to prevent the large decrease of critical heat flux (CHF) are the key to enhancing boiling heat transfer under reduced gravity. Magnetic nanofluid (MNF) boiling is one of the effective methods to solve the above problem. Under reduced gravity, the wall superheat has a crucial influence on the dynamics of the bubbles and boiling heat transfer. However, it has been unsolved whether the application of an external magnetic field can enhance the influence of wall superheat on boiling thermal dynamics or not. Based on the author's previous research, the influence of wall superheat on the enhanced heat transfer of MNF boiling under reduced gravity is further studied by using the computational model of MNF boiling heat transfer under external magnetic field. In this paper, the phase interface dynamics evolution and heat transfer characteristics of MNF boiling under the dual influence of wall superheat and magnetic field are described for the first time. The results show that the application of the magnetic field retards the flow state development of MNF film boiling compared with the results without the magnetic field. As the wall superheat increases, whether magnetic field is applied or not, the heat flux enhancement ratio with respect to wall superheat of 2 K under the various gravity level is almost the same. The effect of the wall superheat on boiling heat transfer characteristics under reduced gravity is enhanced by the application of external magnetic field. When the magnetic field of H = 20 kA/m is applied and the wall superheat is 6 K, under the three gravity levels of g/ge = 1.0, g/ge = 0.44 and g/ge = 0.11, the heat flux with respect to wall superheat of 2 K can be enhanced up to 22.7%, 53.9% and 150.1%, furthermore, the heat flux enhancement rate can be enhanced up to 10%, 18.7% and 12.6%, respectively. [ABSTRACT FROM AUTHOR]