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Therapeutic benefits and underlying biomechanism(s) of antibody drug conjugates (ADC) in combination with other targeted therapeutics are largely unknown. Here, the synergy between ADC and epigenetic drug decitabine (DAC), a clinically approved DNA methylation inhibitor, in multiple preclinical models of melanoma specifically investigated. Mechanistically, the underlying biomechanisms of how DAC cooperatively worked with ICAM1 antibody conjugated DNA topoisomerase I inhibitor DXd (I1‐DXd) is elucidated. DAC treatment significantly enhanced anti‐tumor efficacy of I1‐DXd by upregulating antigen expression, enhancing antibody internalization and potentiating tumor sensitivity by epigenetically reprogramming of melanoma. Meanwhile, I1‐DXd/DAC combination also exerted regulatory effects on tumor microenvironment (TME) by enhancing tumor infiltration of innate and adaptive immune cells and improving penetration of ADCs with a boosted antitumor immunity. This study provides a rational ADC combination strategy for solid tumor treatment. [ABSTRACT FROM AUTHOR]

Background: Non‐small cell lung cancer (NSCLC), including the lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) subtypes, is a malignant tumor type with a poor 5‐year survival rate. The identification of new powerful diagnostic biomarkers, prognostic biomarkers, and potential therapeutic targets in NSCLC is urgently required. Methods: The UCSC Xena, UALCAN, and GEO databases were used to screen and analyze differentially expressed genes, regulatory modes, and genetic/epigenetic alterations in NSCLC. The UCSC Xena database, GEO database, tissue microarray, and immunohistochemistry staining analyses were used to evaluate the diagnostic and prognostic values. Gain‐of‐function assays were performed to examine the roles. The ESTIMATE, TIMER, Linked Omics, STRING, and DAVID algorithms were used to analyze potential molecular mechanisms. Results: NR3C2 was identified as a potentially important molecule in NSCLC. NR3C2 is expressed at low levels in NSCLC, LUAD, and LUSC tissues, which is significantly related to the clinical indexes of these patients. Receiver operating characteristic curve analysis suggests that the altered NR3C2 expression patterns have diagnostic value in NSCLC, LUAD, and especially LUSC patients. Decreased NR3C2 expression levels can help predict poor prognosis in NSCLC and LUAD patients but not in LUSC patients. These results have been confirmed both with database analysis and real‐world clinical samples on a tissue microarray. Copy number variation contributes to low NR3C2 expression levels in NSCLC and LUAD, while promoter DNA methylation is involved in its downregulation in LUSC. Two NR3C2 promoter methylation sites have high sensitivity and specificity for LUSC diagnosis with clinical application potential. NR3C2 may be a key participant in NSCLC development and progression and is closely associated with the tumor microenvironment and immune cell infiltration. NR3C2 co‐expressed genes are involved in many cancer‐related signaling pathways, further supporting a potentially significant role of NR3C2 in NSCLC. Conclusions: NR3C2 is a novel potential diagnostic and prognostic biomarker and therapeutic target in NSCLC. [ABSTRACT FROM AUTHOR]

A stable and highly active core‐shell heterostructure electrocatalyst is essential for catalyzing oxygen evolution reaction (OER). Here, a dual‐trimetallic core‐shell heterostructure OER electrocatalyst that consists of a NiFeWS2 inner core and an amorphous NiFeW(OH)z outer shell is designed and synthesized using in situ electrochemical tuning. The electrochemical measurements of different as‐synthesized catalysts with a similar mass loading suggest that the core‐shell Ni0.66Fe0.17W0.17S2@amorphous NiFeW(OH)z nanosheets exhibit the highest overall performance compared with that of other bimetallic reference catalysts for the OER. Additionally, the nanosheet arrays were in situ grown on hydrophilic‐treated carbon paper to fabricate an integrated three‐dimensional electrode that affords a current density of 10 mA cm−2 at a small overpotential of 182 mV and a low Tafel slope of 35 mV decade−1 in basic media. The Faradaic efficiency of core‐shell Ni0.66Fe0.17W0.17S2@amorphous NiFeW(OH)z is as high as 99.5% for OER. The scanning electron microscope, transmission electron microscope, and X‐ray photoelectron spectroscopy analyses confirm that this electrode has excellent stability in morphology and elementary composition after long‐term electrochemical measurements. Importantly, density functional theory calculations further indicate that the core‐shell heterojunction increased the conductivity of the catalyst, optimized the adsorption energy of the OER intermediates, and improved the OER activity. This study provides a universal strategy for designing more active core‐shell structure electrocatalysts based on the rule of coordinated regulation between electronic transport and active sites. [ABSTRACT FROM AUTHOR]

We use seismic ambient noise recorded by dense ocean bottom nodes (OBNs) in the Gorgon gas field, Western Australia, to compute time‐lapse seafloor models of shear‐wave velocity. The extracted hourly cross‐correlation (CC) functions in the frequency band 0.1–1 Hz contain mainly Scholte waves with very high signal‐to‐noise ratio. We observe temporal velocity variations (dv/v) at the order of 0.1% with a peak velocity change of 0.8% averaged from all station pairs, from the conventional time‐lapse analysis with the assumption of a spatially homogeneous dv/v. With a high‐resolution reference (baseline) model from full waveform inversion of Scholte waves, we present an elastic wave equation based double‐difference inversion (EW‐DD) method, using arrival time differences between the reference and time‐lapsed Scholte waves, for mapping temporally varying dv/v in the heterogeneous subsurface. The time‐lapse velocity models reveal increasing/decreasing patterns of shear‐wave velocity in agreement with those from the conventional analysis. The velocity variation exhibits a ∼24‐hr cycling pattern, which appears to be inversely correlated with the diurnal variations in sea level height, possibly associated with dilatant effects for porous, low‐velocity shallow seafloor and rising pore pressure with higher sea level. This study demonstrates the feasibility of using dense passive seismic surveys and wave‐equation time‐lapse inversion for quantitative monitoring of subsurface property changes in the horizontal and depth domain. Plain Language Summary: Unlike seismic waves generated by earthquakes or human‐made sources, seismic ambient noise (passive seismic) is the ubiquitous background vibration of the solid Earth recorded by seismic sensors. We use seismic interferometry to extract Scholte waves at hourly intervals from ambient noise data collected by dense ocean bottom nodes. Scholte waves travel along the interface between the ocean and the seafloor. This workflow facilitates continuous passive monitoring of the seafloor, without using human‐made seismic sources. Conventional passive monitoring techniques usually assume a spatially homogeneous relative velocity changes. With this assumption, the waveform differences on the extracted Scholte waves reveal temporal variations in the velocity of shear waves up to 0.8%. The velocity variation in this study exhibits a ∼24‐hr cycling pattern, which seems inversely correlated with diurnal variations in sea level height, possibly associated with dilatant effects for porous, low‐velocity shallow seafloor and rising pore pressure with high sea level. Furthermore, we push the limits of passive monitoring with advanced wave‐equation based inversion technique, allowing us to mapping the velocity change into detailed spatial distribution. Therefore we not only infer how velocity changes in time, but also provide insights on where the velocity changes occur in 3‐D beneath the seabed. Key Points: We present a method for space‐time monitoring of subsurface velocity changes in the horizontal and depth domain using seismic ambient noiseWe compute time‐lapse images of seafloor seismic velocity and observe diurnal shear‐wave velocity changes up to 0.8%The wave‐equation based method is suitable for 4‐D subsurface passive monitoring using dense seismic arrays [ABSTRACT FROM AUTHOR]

Aims: To investigate the roles of neurotrophic factors on cognition in patients with Alzheimer's disease (AD) carrying Apolipoprotein E (APOE) ε4. Methods: Totals of 173 patients with AD were divided into APOE ε4 carrier and non‐carrier groups, and their demographics, cognition, and neurotrophic factors in cerebrospinal fluid (CSF) were compared. Multiple linear regression analyses were performed to assess correlations among APOE ε4, neurotrophic factors and cognition. Mediation analyses were conducted to assess the sequential associations among APOE ε4, nerve growth factor (NGF), and cognition. Results: Global cognition and multiple domains were impaired in the APOE ε4 carrier group (all p < 0.05). NGF level in the APOE ε4 carrier group was lower than that in the non‐carrier group (p = 0.016). NGF level showed significant correlations with both global and multiple domains cognitions. Specifically, NGF mediated the association between APOE ε4 and Animal Fluency Test score (β, −0.45; 95% CI [−0.96, −0.07]; p < 0.001) and Trail Making Test‐A (time) (β, 0.15; 95% CI [0.01, 0.33]; p < 0.001). Conclusion: APOE ε4 is associated with cognitive impairment, and those carrying APOE ε4 have decreased NGF level in CSF. Declined NGF level is correlated with compromised cognition. NGF mediates APOE ε4‐associated cognitive impairment. [ABSTRACT FROM AUTHOR]

Habitat is fundamental for facilitating various life activities in animals, for instance, snakes procure essential energy for survival and reproduction by selecting ambush microhabitats. While there has been extensive research on the selection of microhabitat for feeding in terrestrial and aquatic snakes, little is known about arboreal snakes. In the present study, we analyzed the ambush microhabitat preferences of Viridovipera stejnegeri, a widely distributed Asian pitviper in China, conducted association analysis between snake microhabitat and prey microhabitat and abundance to determine the ro5le of microhabitat selection in feeding. Employing random forest analysis and habitat selection functions, we further constructed a predictive framework for assessing the probability of ambush site selection by V. stejnegeri. Our results revealed that V. stejnegeri exhibited a distinct microhabitat preference for ambush prey. Among the 13 environmental factors assessed, V. stejnegeri showed pronounced preferences towards 12 of these factors, including climatic factors, geographical factors, and vegetation factors. Furthermore, although the preferences of V. stejnegeri overlapped substantially with those of its prey across multiple habitat factors, food abundance shows no significant association with various habitat factors of V. stejnegeri, and does not have significant predictive effect on habitat selection of V. stejnegeri. Therefore, we infer that V. stejnegeri does not preferentially select microhabitats with the highest food abundance, which does not support the hypothesis that "snakes select habitats based on the spatial distribution of prey abundance." By analyzing the characteristics of vegetation, geography, and climate, we conclude that V. stejnegeri tends to choose microhabitats with better ambush conditions to increase attack success rate, thereby achieving the optimal feeding success rate at the microhabitat scale, which is in line with the predictions of optimal foraging theory. This study provides new insights into the predation ecology and habitat selection of snakes. [ABSTRACT FROM AUTHOR]

Although several phylogeographic studies of Asian snakes have been conducted, most have focused on pitvipers, with non‐venomous snakes, such as colubrids or natricids, remaining poorly studied. The Chinese keelback water snake (Trimerodytes percarinatus Boulenger) is a widespread, semiaquatic, non‐venomous species occurring in China and southeastern Asia. Based on mitochondrial DNA (mtDNA) and single nucleotide polymorphism (SNP) data, we explored the population genetic structure, genetic diversity, and evolutionary history of this species. MtDNA‐based phylogenetic analysis showed that T. percarinatus was composed of five highly supported and geographically structured lineages. SNP‐based phylogenetic analysis, principal component analysis, and population structure analysis consistently revealed four distinct, geographically non‐overlapping lineages, which was different from the mtDNA‐based analysis in topology. Estimation of divergence dates and ancestral area of origin suggest that T. percarinatus originated ~12.68 million years ago (95% highest posterior density: 10.36–15.96 Mya) in a region covering southwestern China and Vietnam. Intraspecific divergence may have been triggered by the Qinghai‐Xizang Plateau uplift. Population demographics and ecological niche modeling indicated that the effective population size fluctuated during 0.5 Mya and 0.002 Mya. Based on the data collected here, we also comment on the intraspecific taxonomy of T. percarinatus and question the validity of the subspecies T. p. suriki. [ABSTRACT FROM AUTHOR]

Engineered noble metal nanomaterials (NMN) possess adjustable optical, electrical, and biocompatible properties that make them excellent tools for probing the nano‐bio‐interface. Understanding their interactions with biomolecules, cells, and tissues at the nano‐bio‐interface is crucial in designing these nanomaterials for biomedical applications. This review summarizes the structure, properties, synthesis, and passivation methods of noble metal nanoparticles, as well as the construction strategy and detection technology of the nano‐bio‐interface to provide important information about their uptake, distribution, metabolism, and degradation in vivo and in vitro. The related action mechanisms include the kinetic and thermodynamic processes of the nano‐bio‐interface, the driving forces for its formation, and the chemical reactions at the nano‐bio‐interface. By exploring the action mechanism of the nano‐bio‐interface, the antibacterial properties and cytotoxicity of NMN could be better understood, and open up more extensive biological applications. Finally, the future trends of NMNs in the biological field and the challenges encountered in realizing these technologies are discussed. [ABSTRACT FROM AUTHOR]

Aims: This study aimed to comprehensively explore the nutrition and gait of AD patients at different stages and the relationship between them. Methods: A total of 85 AD patients were consecutively enrolled in this cross‐sectional study and divided into the mild cognitive impairment (MCI) due to AD (AD‐MCI) and the dementia due to AD (AD‐D) groups. Demographic information, nutritional status, and gait performance were compared between the two groups, and the correlation between nutritional status and gait performance was subsequently analyzed by Pearson and Spearman correlation analyses. Results: The AD‐D group had lower scores on Mini‐Nutritional Assessment (MNA) and MNAm scales, lower levels of urea nitrogen, folic acid, and vitamin B12 in blood, and higher homocysteine level than those in the AD‐MCI group (all p < 0.05). The AD‐D group had slower step speed, shorter step length, and shorter stride length than those in the AD‐MCI group (all p < 0.05). AD patients with decreased scores of MNA and MNAm scales, and declined levels of urea nitrogen and vitamin B12 in blood had reduced gait speed and gait cadence, and prolonged step length time and stride length time, whereas homocysteine showed the almost opposite results (all p < 0.05). In the AD‐MCI group, the score of scale was negatively correlated with the coefficient of variation (CV) of stride length, and the folic acid level was negatively correlated with the CV of stride length and cadence (all p < 0.05). Conclusions: AD patients at the dementia stage had worse nutritional status and gait performance than those at the MCI stage, which was associated with worse global cognition and activities of daily living. Poorer nutritional status was associated with higher gait variability in patients at the MCI stage and with poorer gait performance in patients at the dementia stage. Early identification and intervention of patients with nutritional risk or malnutrition may improve gait performance, thus reducing the risk of falling and cognitive decline, as well as the mortality. [ABSTRACT FROM AUTHOR]

SRC‐1 functions as a transcriptional coactivator for steroid receptors and various transcriptional factors. Notably, SRC‐1 has been implicated in oncogenic roles in multiple cancers, including breast cancer and prostate cancer. Previous investigations from our laboratory have established the high expression of SRC‐1 in human HCC specimens, where it accelerates HCC progression by enhancing Wnt/beta‐catenin signalling. In this study, we uncover a previously unknown role of SRC‐1 in HCC metastasis. Our findings reveal that SRC‐1 promotes HCC metastasis through the augmentation of MMP‐9 expression. The knockdown of SRC‐1 effectively mitigated HCC cell metastasis both in vitro and in vivo by suppressing MMP‐9 expression. Furthermore, we observed a positive correlation between SRC‐1 mRNA levels and MMP‐9 mRNA levels in limited and larger cohorts of HCC specimens from GEO database. Mechanistically, SRC‐1 operates as a coactivator for NF‐κB and AP‐1, enhancing MMP‐9 promoter activity in HCC cells. Higher levels of SRC‐1 and MMP‐9 expression are associated with worse overall survival in HCC patients. Treatment with Bufalin, known to inhibit SRC‐1 expression, significantly decreased MMP‐9 expression and inhibited HCC metastasis in both in vitro and in vivo settings. Our results demonstrated the pivotal role of SRC‐1 as a critical modulator in HCC metastasis, presenting a potential therapeutic target for HCC intervention. [ABSTRACT FROM AUTHOR]

Increasing N use efficiency (NUE) is desirable in turfgrass management. Traditional definition of NUE in turfgrass is essentially the inverse of nitrogen concentration in the clippings and is often evaluated once in a growing season. In this experiment, we followed the Brenderse and Aerts' definition of NUE as the product of mean residence time (MRT) and nitrogen productivity (NP). The objective of this experiment was to identify NP changes over time in Kentucky bluegrass cultivars at different N levels under deficit irrigation. Nine Kentucky bluegrass (Poa pratensis L.) and two hybrid bluegrass cultivars from 10 phenotypic classes were tested under N rates of 10 and 40 g m−2. Deficit irrigation at 60% of the evapotranspiration was imposed. The results showed interaction effects on NP from N level, irrigation, and cultivar. Low‐N treatment resulted in higher NP values as compared to high‐N for 'Merit' and 'Martha'. No NP difference existed between N or irrigation levels for 'Blue ghost', 'Geronimo', 'Heidi', 'Bandera', 'Impact', 'Fielder', 'Jackrabbit', and 'Park'. 'Rhythm' showed lower NP values in high‐N combined with full irrigation compared to other treatments. In general, increasing N levels resulted in lower NP, but higher nitrate reductase activity (NaR) and higher net photosynthesis. No N by irrigation interaction effect was detected for effective quantum yield or NaR. In conclusion, leaf‐level NP was shown to be an effective parameter for in‐season monitoring of the above‐ground NUE of Kentucky bluegrass, which provided more dynamic information than clipping yields or a one‐time NUE calculation based on traditional definition. [ABSTRACT FROM AUTHOR]

Aims: To explore the roles of apolipoprotein E (APOE) ε4 on the neuropathology and neuroinflammation in Alzheimer's disease (AD) patients. Methods: AD patients were divided into the APOE ε4 carrier and the APOE ε4 non‐carrier groups according to APOE genotype. Demographic information, cognitive function, the levels of neuropathological proteins and neuroinflammatory factors in cerebrospinal fluid (CSF) were compared between the two groups, and their correlations were subsequently analyzed. Results: β amyloid protein (Aβ)1–42 level from the APOE ε4 carrier group was significantly lower than that from the non‐carrier group (p = 0.023), which was associated with worse cognitive function. The nitric oxide (NO) level was significantly elevated in the APOE ε4 carrier group compared to the non‐carrier group (p = 0.016), which was significantly and positively correlated with the Trail Making Test (TMT)‐A‐time (r = 0.21, p = 0.026) and TMT‐B‐time (r = 0.38, p < 0.01). Conclusion: APOE ε4 is associated with poorer cognition, particularly the early symptoms of memory, language, and attention. APOE ε4 is associated with lower Aβ1–42 level, and the more numbers of APOE ε4 are carried, the lower level of Aβ1–42 is measured. APOE ε4 is associated with elevated NO level, which is linked to the impaired attention and executive function. [ABSTRACT FROM AUTHOR]

Considering the coevolution of interorganizational project and social networks, this study examines the evolution of research and development (R&D) cooperation by simulating the play of an appropriate game model. We assume that decision‐makers are aggressive or prudent in terms of expectations. The results show that the effects of expectation type and heterogeneity on cooperation evolution depend on the project scale. Aggressive decision‐makers are more sensitive to free‐riding behaviors than prudent decision‐makers. The effect of supervision on cooperation is contingent on decision‐makers' expectations. Finally, the study develops suggestions for the governance of interorganizational R&D cooperation. [ABSTRACT FROM AUTHOR]

Understanding the adsorption interactions between carbon materials and sulfur compounds has far‐reaching impacts, in addition to their well‐known important role in energy storage and conversion, such as lithium‐ion batteries. In this paper, properties of intrinsic B or Si single‐atom doped, and B–Si codoped graphene (GR) and graphdiyne (GDY) were investigated by using density functional theory‐based calculations, in which the optimal doping configurations were explored for potential applications in adsorbing sulfur compounds. Results showed that both B or Si single‐atom doping and B–Si codoping could substantially enhance the electron transport properties of GR and GDY, improving their surface activity. Notably, B and Si atoms displayed synergistic effects for the codoped configurations, where B–Si codoped GR/GDY exhibited much better performance in the adsorption of sulfur‐containing chemicals than single‐atom doped systems. In addition, results demonstrated that, after B–Si codoping, the adsorption energy and charge transfer amounts of GDY with sulfur compounds were much larger than those of GR, indicating that B–Si codoped GDY might be a favorable material for more effectively interacting with sulfur reagents. [ABSTRACT FROM AUTHOR]

As a kind of fuel with low‐carbon emissions, hydrogen‐rich syngas has a large resource potential and is a promising alternative energy resource. A series of experiments in a constant volume combustion bomb are carried out to investigate the effects of turbulence and diffusional–thermal (DT) instability on a hydrogen‐rich syngas turbulent premixed flame. The flow field in the constant volume combustion bomb is calibrated, and the turbulent flow field's homogeneity and isotropy were investigated. The effects of different speeds of fan (1366–4273 rpm), hydrogen fractions (55%–95%), pressures (1.0–3.0 bar), and equivalence ratios (0.6–1.0) on the hydrogen‐rich syngas turbulent premixed flame are studied. According to the analyses, the flow field in the experimental device exhibits good homogeneous and isotropic characteristics. With the increase of turbulence intensity, equivalence ratio, hydrogen fraction, or pressure, the turbulent flame propagation speed increases gradually. As the hydrogen fraction increases or the equivalence ratio decreases, the effective Lewis number decreases, and the effect of DT instability on the flame increases. The research in this article is crucial for the clean and efficient utilization of hydrogen‐rich syngas and the design of related burners. [ABSTRACT FROM AUTHOR]

Summary: Maleae is one of the most widespread tribes of Rosaceae and includes several important fruit crops and ornamental plants.We used nuclear genes from 62 transcriptomes/genomes, including 26 newly generated transcriptomes, to reconstruct a well‐supported phylogeny and study the evolution of fruit and leaf morphology and the possible effect of whole genome duplication (WGD).Our phylogeny recovered 11 well‐supported clades and supported the monophyly of most genera (except Malus, Sorbus, and Pourthiaea) with at least two sampled species. A WGD was located to the most recent common ancestor (MRCA) of Maleae and dated to c. 54 million years ago (Ma) near the Early Eocene Climatic Optimum, supporting Gillenieae (x = 9) being a parental lineage of Maleae (x = 17) and including duplicate regulatory genes related to the origin of the fleshy pome fruit. Whole genome duplication‐derived paralogs that are retained in specific lineages but lost in others are predicted to function in development, metabolism, and other processes. An upshift of diversification and innovations of fruit and leaf morphologies occurred at the MRCA of the Malinae subtribe, coinciding with the Eocene–Oligocene transition (c. 34 Ma), following a lag from the time of the WGD event.Our results provide new insights into the Maleae phylogeny, its rapid diversification, and morphological and molecular evolution. [ABSTRACT FROM AUTHOR]

The mechanism behind the significant Izu‐Bonin‐Mariana (IBM) trench advance is still controversial. We conduct slab subduction numerical models that reproduce the spatio‐temporal tectonic evolution of the Philippine Sea region to investigate whether slab pull from the Ryukyu subduction zone can cross the weakened Philippine Sea Plate and act on the IBM trench. Model results show that the lithospheric strengthening and weakening effects cancel out each other during the rift stage so that the slab pull from the Ryukyu Trench can transmit through the weak fossil spreading centers and intra‐arc rifts and drive the Izu‐Bonin Trench's advance. In contrast, lithospheric weakening overwhelms lithospheric strengthening and impedes stress transfer in the back‐arc spreading stage, suggesting that the slab pull cannot directly pull the Mariana Trench to advance at present. Our study indicates that extreme rheological parameters are not needed for the IBM trench advance, despite the Philippine Sea Plate is weakened. Plain Language Summary: Understanding why IBM (Izu‐Bonin‐Mariana) has the globe's most significant trench advance affects not only our understanding of subduction dynamics and lithospheric deformation mechanisms, but also our knowledge on slab rheology, which is key to understanding many fundamental geodynamic questions. A number of models have been proposed to explain the IBM trench advance. These models can be broadly classified into two categories: one is single‐slab subduction, and the other is double‐slab subduction. Single‐slab subduction models usually require extreme rheological parameters that seem inconsistent with those inferred from slab curvature and gravity observations, while double‐slab subduction models need to consider whether the slab‐pull force can transmit through the weak Philippine Sea Plate. The Philippine Sea Plate is strongly weakened due to extensive back‐arc extensional deformations. We conduct numerical models that reproduce the first‐order tectonic evolution of the IBM Subduction Zone to solve this dispute. The model results show that slab pull from the Ryukyu Trench can pass through the weakened Philippine Sea Plate and act on the IBM Trench. Thus, the IBM Trench advance does not require special rheological parameters as suggested by single‐slab models. Key Points: Slab pull can pass through the fossil young spreading centers and active intra‐arc rifts, but not active spreading centersExtremely strong slabs or strong subduction‐interface coupling are not needed to explain the IBM trench advanceThe Mariana Trench advance may be driven by the advance of the Izu‐Bonin Trench at its north [ABSTRACT FROM AUTHOR]

Highly efficient blue quantum‐dot light‐emitting diodes (QLEDs) are still a challenge for displays and solid‐state lighting due to light trapping in a device. Herein, an internal diffraction wrinkle pattern is used to demonstrate a spectrum‐independent enhancement strategy for light out‐coupling. The optimized device with wrinkle pattern shows a peak external quantum efficiency of 15.25% and a maximum luminance of 13 134 cd m−2, and the enhancement of those is 23% and 28%, respectively. The improvement of device performance can be attributed to the extraction of waveguide light by the internal wrinkle pattern used as a diffraction grating. Moreover, simulation also shows that wrinkle pattern is an attractive option to improve the performances of blue QLEDs. [ABSTRACT FROM AUTHOR]

A generalized reaching‐law‐based (RL‐based) discrete‐time integral sliding‐mode controller, which is versatile for either matched or mismatched disturbances, is designed in this paper to obtain high output tracking accuracy and avoid tremendous control efforts. Specifically, a disturbance decomposition‐based discrete‐time integral sliding surface is designed, and a generalized discrete‐time reaching law is established. Different from the existing integral sliding surfaces, the proposed sliding surface synthesizes a disturbance‐related integral term that is defined based on disturbance decomposition; this is crucial to the disturbance attenuation. Moreover, different from the available discrete‐time reaching laws, the proposed reaching law introduces an adaptive exponential term into the control gains, and hence, the conventional RL‐based discrete‐time integral sliding‐mode control (DISMC) and the equivalent‐control‐based (EC‐based) DISMC can be integrated. Rigorous analysis shows that the closed‐loop system is stable, the control effort can be satisfactory, and the steady‐state output tracking accuracy is of order O(T2)$$ O\left({T}^2\right) $$ for both matched and mismatched disturbances. The proposed method is proven effective through numerical simulations. [ABSTRACT FROM AUTHOR]

Investigating the response characteristics of various hydrological factors to water conservancy projects area in basin and evaluating their impact on the ecological environment are crucial for ecological protection and restoration on the Loess Plateau, China, with a complex environment. In this study, we employed a geomorphology‐based hydrological model to simulate the hydrological elements of the Qinhe River Basin on the Loess Plateau. We explored the response characteristics of the water cycle and hydrological processes to the construction of reservoirs in the basin. Additionally, we also examined multiyear changes in peak flood volume and sediment discharge during flood seasons influenced by reservoirs. The sub‐basins hosting reservoirs initialled an increase in evaporation, followed by a decrease. During the change periods, both runoff and soil water decreased, but remained higher than the mean values for the basin during the same period. The Normalized Difference Vegetation Index of sub‐basins associated with five reservoirs was obviously higher than the mean value for the basin during the same period. The peak flood volume and sediment discharge in the basin were characterized by decreasing trends, with the latter showing weak sustainability. The value of each index for a sub‐basin associated with a reservoir was higher than the average value for the basin. The construction and operation of reservoirs had a positive impact on the ecology of the basin. Water and soil conservation measures, including sediment regulation and storage using reservoirs, effectively decreased water hazard and soil erosion in the basin. This study provides a scientific basis for the construction of water conservancy projects and ecological governance in the basin. [ABSTRACT FROM AUTHOR]

The tumour microenvironment (TME) and immunosuppression play an important role in colon cancer (CC) metastasis, which seriously affects the prognosis of CC. G protein subunit gamma 4 (GNG4) has been shown to participate in tumour progression and the tumour mutation burden (TMB) in colorectal cancer. However, the effect of GNG4 on the CC TME and immunology remains elusive. Weighted gene coexpression network analysis (WGCNA) was employed for screening aberrantly expressed genes associated with the immune score, and GNG4 was then selected through prognostic and immune correlation analysis. Based on RNA sequencing data obtained from the TCGA and GEO databases, the expression pattern and immune characteristics of GNG4 were comprehensively examined using a pan‐cancer analysis. Upregulation of GNG4 was linked to an adverse prognosis and immune inhibitory phenotype in CC. Pan‐cancer analysis demonstrated higher GNG4 expression in tumours than in paired normal tissue in human cancers. GNG4 expression was closely related to prognosis, TMB, immune checkpoints (ICPs), microsatellite instability (MSI) and neoantigens. GNG4 promoted CC cell proliferation, migration and invasion and participated in immune regulation in the TME. Significantly, GNG4 expression was found to negatively correlate with tumour‐infiltrating immune cells, ICP, TMB and MSI in CC. GNG4 expression predicted the immunotherapy response in the IMvigor210 cohort, suggesting that GNG4 could be used as a potential biomarker in CC for prognostication and immunology. Moreover, the expression of GNG4 predicted the immunotherapy response of ICB in CC. [ABSTRACT FROM AUTHOR]

The elucidation of species diversity and distribution is critical within the fields of evolution, genetics, and conservation. The genus Sibynophis contains rare snakes that have historically received little attention. In this study, we conducted comprehensive sampling and use both mitochondrial and nuclear genetic markers to explore Sibynophis species diversity within China. Our findings revealed that S. c. miyiensis should be considered synonymous with S. c. grahami, and S. c. grahami should be gave a specific rank as S. grahami. In addition, we discovered S. triangularis was new to China and Myanmar. Based on the specimens and molecular phylogeny results, we redefined the species distribution boundaries of each Chinese species. [ABSTRACT FROM AUTHOR]

Recent years have witnessed a growing research interest in traditional Chinese medicine as a neuroprotective nutrient in the management of diabetic cognitive dysfunction. However, the underlying molecular mechanisms of sinomenine in mediating ferroptosis of hippocampal neurons have been poorly understood. This study sought to decipher the potential effect and molecular mechanism of sinomenine in the cognitive dysfunction following type 2 diabetes mellitus (T2DM). Multi‐omics analysis was conducted to identify the microbiota‐gut‐brain axis in T2DM patient samples obtained from the publicly available database. In HT‐22 cells, erastin was utilized to create a ferroptosis model, and streptozotocin was injected intraperitoneally to create a rat model of DM. It was noted that intestinal flora imbalance occurred in patients with T2DM‐associated cognitive dysfunction. Sinomenine could reduce Erastin‐induced hippocampus neuronal ferroptosis by increasing EGF expression. EGF protected hippocampal neurons against ferroptosis by activating the Nrf2/HO‐1 signaling pathway. Furthermore, in vivo results confirmed that sinomenine blocked ferroptosis of hippocampal neurons and alleviated cognitive dysfunction in T2DM rats. Collectively, these results suggest that sinomenine confers neuroprotective effects by curtailing hippocampal neuron ferroptosis via the EGF/Nrf2/HO‐1 signaling and microbiota‐gut‐brain axis. It may be a candidate for the treatment of diabetic cognitive dysfunction. [ABSTRACT FROM AUTHOR]

Developing efficient non‐precious metal electrocatalysts to replace Pt‐based noble metal catalysts for oxygen reduction reaction (ORR) in energy conversion devices is highly desirable. Atomically dispersed Fe−N−C catalysts are the most promising alternatives of Pt for ORR; however, enhancing their intrinsic activity via active site modulation is still a challenge. Using an iron porphyrin‐functionalized MOFs as the precursor, we prepared a defects‐rich Fe−N−C catalyst and modulated its intrinsic activity by creating defects near the Fe−Nx sites through decarboxylation reaction. Due to the synergistic effect of the improved porous structure and created defects, the prepared Defects‐FeNC exhibited excellent performance for ORR with half‐wave potential of 0.895 V vs. RHE in alkaline media. The Defects‐FeNC loaded Zn‐Air battery delivered much higher open circuit potential (OCP=1.463 V) and maximum power density (Pmax=151 mW cm−2) than the commercial 20 wt.% Pt/C (OCP=1.441 V; Pmax=119 mW cm−2) under similar experimental conditions. Defects in the catalyst could modulate the electronic structure of the Fe−Nx−C center that further promoted the catalyst catalytic activity for ORR. This work provides a facile active‐sites‐engineering approach for boosting the Fe−N−C catalyst ORR performance, which shows promising implications in energy conversion devices. [ABSTRACT FROM AUTHOR]

Soil acidification induced by reactive nitrogen (N) inputs can alter the structure and function of terrestrial ecosystems. Because different N‐transformation processes contribute to the production and consumption of H+, the magnitude of acidification likely depends on the relative amounts of organic N (ON) and inorganic N (IN) inputs. However, few studies have explicitly measured the effects of N composition on soil acidification. In this study, we first conducted a meta‐analysis to test the effects of ON or IN inputs on soil acidification across 53 studies in grasslands. We then compared soil acidification across five different ON:IN ratios and two input rates based on long‐term field N addition experiments. The meta‐analysis showed that ON had weaker effects on soil acidification than IN when the N addition rate was above 20 g N m−2 year−1. The field experiment confirmed the findings from meta‐analysis: N addition with proportions of ON ≥ 20% caused less soil acidification, especially at a high input rate (30 g N m−2 year−1). Structural equation model analysis showed that this result was largely due to a relatively low rate of H+ production from ON as NH3 volatilization and uptake of ON and NH4+ by the dominant grass species Leymus chinensis (which are both lower net contributors to H+ production) result in less NH4+ available for nitrification (which is a higher net contributor to H+ production). These results indicate that the evaluation of soil acidification induced by N inputs should consider N forms and manipulations of relative composition of N inputs may provide an effective approach to alleviate the N‐induced soil acidification. [ABSTRACT FROM AUTHOR]

Summary: Dielectric barrier discharge (DBD) plasma with different generation currents was introduced to modify chickpea starches of Kabuli and Desi varieties. The changes of starch structural orders and functional properties were investigated. Results demonstrated that the crystalline structure of starches was generally destroyed upon plasma treatment, while the change of double‐helical order was relatively limited. X‐ray photoelectron spectroscopy revealed that DBD plasma altered the surface molecular structure of starch, mainly involving oxidation effects. The gelatinization transition temperatures of plasma‐treated Kabuli starch (KS) mainly remained unchanged, while those of Desi starch (DS) significantly decreased. DBD plasma dramatically reduced the pasting viscosity of KS with the increase of treatment intensity, as well as the amylose content and swelling power, while had little influence on DS. Furthermore, the digestion rate and extent of chickpea starches gradually increased with the treatment intensity. Correlation analysis revealed that the starch digestibility induced by DBD plasma was largely depending on the crystalline structure, while the double helical order had little influence. These findings could provide theoretical basis for exploiting DBD plasma as a new strategy to modify chickpea starch. [ABSTRACT FROM AUTHOR]

The Asian pitviper genus Ovophis is a group of venomous snakes widely distributed in mid to high elevation mountains in Asia, and presently five species are recognised. However, its systematics, species diversity and species distribution boundaries remain poorly understood. We reconstructed the phylogenetic relationships and explored species diversity of Chinese Ovophis based on two mitochondrial fragments (Cyt b and ND4) and four nuclear genes (BACH1, c‐mos, Rag1, NT3) and also conducted a morphological comparison between focal species. Our results indicated that the species diversity had been underestimated within Ovophis and we described a population from southern Yunnan, China, as a new taxon, naming it as Ovophis malhotraesp.nov. Based on more extensive sampling, we redefined the distribution of O. monticola and O. makazayazaya in China. Divergence date estimation suggested that Ovophis originated at about 16.79 Ma in the middle Miocene. [ABSTRACT FROM AUTHOR]

Purpose: To improve the understanding of special types of tumors, we summarized and analyzed the clinicopathological features and prognostic factors of SMARCA4‐deficient non‐small cell lung cancer (SMARCA4‐dNSCLC). Methods: We selected 105 patients with SMARCA4‐dNSCLC and 221 patients with SMARCA4‐intact non‐small cell lung cancer (SMARCA4‐iNSCLC) by performing immunohistochemical analysis of 1520 NSCLC samples, and we assessed the patients' clinicopathological features and survival state. Results: (1) SMARCA4‐dNSCLC was significantly associated with older age, male sex, smoking history, larger invasive tumor size, higher tumor proliferation index (Ki‐67), more adrenal metastases, more lymph node metastases, and few EGFR mutations (p < 0.05). The tumors were mostly negative for thyroid transcription factor‐1 (TTF‐1), CD34, and p40 and positive for cytokeratin 7 (CK7) in immunohistochemistry (IHC). Nineteen SMARCA4‐dNSCLC patients mostly had TP53, SMARCA4, and LRP1B mutations, and 48% of them had SMARCA4 frameshift mutations. SMARCA4‐dNSCLC patients have a worse prognosis than SMARCA4‐iNSCLC patients (HR: 0.27; 95% CI: 0.17–0.45). The overall survival (OS) of patients with stage III SMARCA4‐dNSCLC was worse than that of patients with SMARCA4‐iNSCLC, and the OS of stage IV SMARCA4‐dNSCLC patients was also worse than that of SMARCA4‐iNSCLC patients (p < 0.01). (2) Multivariate regression analysis showed that sex (HR: 4.12; 95% CI: 1.03–16.39) and smoking history (HR: 2.29; 95% CI: 1.04–5.02) had significant effects on the survival time of SMARCA4‐dNSCLC patients. In SMARCA4‐dNSCLC patients without distant metastases (stage I–III), patients with stage N2 or N3 lymph node metastases (HR: 6.35; 95% CI: 1.07–37.47) had a poor prognosis. Among patients with SMARCA4‐dNSCLC who were treated and had distant metastases (stage IV), male patients and patients treated with immunotherapy combined with chemotherapy showed a longer median overall survival (mOS). Conclusion: SMARCA4‐dNSCLC has unique clinicopathological features and a shorter survival prognosis than SMARCA4‐iNSCLC. The efficacy of immunotherapy combined with chemotherapy needs to be observed for longer periods. [ABSTRACT FROM AUTHOR]

Discrimination of physically similar molecules by porous solids represents an important yet challenging task in industrially relevant chemical separations. Precisely controlled pore dimension and/or tailored pore surface functionality are crucial to achieve high‐efficiency separation. Metal‐organic frameworks (MOFs) are promising candidates for these challenging separations in light of their structural diversity as well as highly adjustable pore dimension/functionality. We report here a microporous, ftw‐type Zr‐based MOF structure, HIAM‐410 (HIAM=Hoffmann Institute of Advanced Materials), built on hexanuclear Zr6 cluster and pyrene‐1,3,6,8‐tetracarboxylate (ptc4−). Its crystallographic structure has been determined using continuous rotation electron diffraction (cRED) technique combined with Rietveld refinement against powder X‐ray diffraction data, aided by low‐dose high‐resolution transmission electron microscopy (HRTEM) imaging. The compound features exceptional framework stability that is comparable to the prototype MOF UiO‐66. Interestingly, the linker vacancies in the pristine MOF structure could be partially restored by post‐synthetic linker insertion. Its separation capability of hexane isomers is enhanced substantially upon the linker vacancy engineering. The restored structure exhibits efficient splitting of monobranched and dibranched hexane isomers at both room temperature and industrially relevant temperature. [ABSTRACT FROM AUTHOR]

Zn‐air battery is a promising next‐generation energy storage device. Its performance, however, is limited by a high overpotential resulted from the slow kinetics of the cathodic oxygen reduction reaction (ORR). This study reports a simple strategy for preparation of a fluorine‐doped Co−N−C composite as highly efficient electrocatalyst for ORR. The C@PVI‐(TPFC)Co‐800 catalyst was prepared by pyrolysis of F‐containing Co‐corrole that was assembled on PVI‐functionalized carbon black through the axial imidazole coordination (PVI=polyvinylimidazole, TPFC=5,10,15‐triperfluorophenyl‐21H, 22H‐corrole). The C@PVI‐(TPFC)Co‐800 catalyst exhibited much more positive ORR half‐wave potential (E1/2=0.88 V vs. RHE) than its counterpart C@PVI‐(TPC)Co‐800 (E1/2=0.82 V, TPC=5,10,15‐triphenyl‐21H, 22H‐corrole) without F‐doping in 0.1 M KOH electrolyte. C@PVI‐(TPFC)Co‐800 also achieved a greater kinetic current density and enhanced durability in alkaline media. In addition, a Zn‐air battery with C@PVI‐(TPFC)Co‐800 loaded at the cathode delivered much higher peak power density (Pmax=141 mW/cm2) and open‐circuit voltage (OCV=1.45 V) over the C@PVI‐(TPC)Co‐800 counterpart (Pmax=110 mW/cm2, OCV=1.39 V) and the commercial 20 % Pt/C (Pmax=119 mW/cm2, OCV=1.42 V) as well. The promoted catalyst performance for ORR was attributed to the increased specific surface area, more defects generated, and reduced electron density distribution around the Co metal center after F‐doping. [ABSTRACT FROM AUTHOR]

Cyclic diaryliodoniums are an important class of high‐valent aromatic iodine reagents for the synthesis of various axially chiral biaryls and biaryl compounds. Moreover, transition‐metal‐catalyzed annulation has been established for the construction of various heterocyclic rings and ladder‐type π‐conjugated polycyclic aromatic hydrocarbons with readily available cyclic diaryliodoniums as the starting materials. As halogen‐bonding donors, cyclic aryliodoniums have been explored as organocatalysts in a variety of organic reactions. In this review, the application progress of cyclic diaryliodoniums has been systematically outlined, which highlights recent developments in the application reactions of cyclic diaryliodoniums, including synthetic application, limitations and reaction mechanisms in representative cascade reactions to provide insights for the development prospects of cyclic diaryliodoniums. [ABSTRACT FROM AUTHOR]

Objective: To study the survival prediction value of lymph node ratio (LNR) and preoperative thyroglobulin (Tg) in the prognosis of thyroid papillary carcinoma (PTC). Methods: A total of 495 patients with PTC and lymph node metastasis treated at the Cancer Hospital of Xinjiang Medical University were selected for a retrospective study. The disease‐free survival (DFS) of patients was the follow‐up endpoint. DFS was calculated for all patients. The Cox proportional risk regression model and nomogram were used to predict the survival prognosis of PTC with lymph node metastasis by index. LNR and preoperative Tg level cutoff values were obtained using ROC curves. To express DFS, Kaplan–Meier survival curves were created. Using 3‐ and 5‐year calibration curves and AUC values, the prognostic models' precision and discrimination were assessed. Clinical decision curve analysis was used to forecast clinical benefitability. Finally, the results were validated using internal cross‐validation. Results: The cutoff values of LNR and preoperative Tg level were 0.295 and 50.24, respectively, and they were divided into two groups according to the cutoff values. Multifactorial Cox regression models showed that NLNM, LNR, and preoperative Tg level (all p < 0.05) were independent risk factors affecting the prognosis of PTC with lymph node metastasis. Kaplan–Meier curves showed higher DFS rates in the group with low NLNM (<10), LNR (<0.295), and preoperative Tg level (<50.24) groups. The 3‐year and 5‐year calibration curves showed good agreement. A ROC curve analysis was performed on the nomogram model, and its AUC values at 3 and 5 years were, respectively, 0.805 and 0.793. Clinical decision curves indicate good clinical benefit. Finally, internal cross‐validation demonstrated the legitimacy of the prognostic model. Conclusion: The LNR and preoperative Tg levels, in combination with other independent factors, were effective in predicting the survival prognosis for patients with PTC. [ABSTRACT FROM AUTHOR]

This study was designed to evaluate the synergism of two couples of antihypertensive drugs (amlodipine + telmisartan and amlodipine + candesartan) on blood pressure reduction in vivo by both SynergyFinder 3.0 and probability sum test. Spontaneously hypertensive rats were treated with intragastric administration of amlodipine (0.5, 1, 2, and 4 mg/kg), telmisartan (4, 8, and 16 mg/kg), candesartan (1, 2, and 4 mg/kg), nine combinations for amlodipine and telmisartan, and nine combinations for amlodipine and candesartan. The control rats were treated by 0.5% carboxymethylcellulose sodium. Blood pressure was recorded continuously up to 6 h after administration. Both SynergyFinder 3.0 and the probability sum test were used to evaluate the synergistic action. The synergisms calculated by SynergyFinder 3.0 are consistent with the probability sum test both in two different combinations. There is an obviously synergistic interaction between amlodipine and telmisartan or candesartan. The combinations of amlodipine and telmisartan (2 + 4 and 1 + 4 mg/kg) and amlodipine and candesartan (0.5 + 4 and 2 + 1 mg/kg) might exert an optimum synergism against hypertension. Compared with the probability sum test, SynergyFinder 3.0 is more stable and reliable to analyze the synergism. [ABSTRACT FROM AUTHOR]

SUMMARY: High yield and stress resistance are the major prerequisites for successful crop cultivation, and can be achieved by modifying plant architecture. Evolutionarily conserved growth‐regulating factors (GRFs) control the growth of different tissues and organs of plants. Here, we provide a systematic overview of the expression patterns of GRF genes and the structural features of GRF proteins in different plant species. Moreover, we illustrate the conserved and divergent roles of GRFs, microRNA396 (miR396), and GRF‐interacting factors (GIFs) in leaf, root, and flower development. We also describe the molecular networks involving the miR396–GRF–GIF module, and illustrate how this module coordinates with different signaling molecules and transcriptional regulators to control development of different plant species. GRFs promote leaf growth, accelerate grain filling, and increase grain size and weight. We also provide some molecular insight into how coordination between GRFs and other signaling modules enhances crop productivity; for instance, how the GRF–DELLA interaction confers yield‐enhancing dwarfism while increasing grain yield. Finally, we discuss how the GRF‐GIF chimera substantially improves plant transformation efficiency by accelerating shoot formation. Overall, we systematically review the conserved and divergent roles of GRFs and the miR396–GRF–GIF module in growth regulation, and also provide insights into how GRFs can be utilized to improve the productivity and nutrient content of crop plants. Significance Statement: Growth‐regulating factors (GRFs) are evolutionarily conserved transcription factors that control the growth of tissues and organs in different plant species. Our work systematically reviews the conserved and divergent roles of GRFs and the miR396–GRF/GIF module in growth regulation and stress adaptation and also provides insights into how GRFs can be utilized to improve crop yield, stress resistance, and nutrient content. [ABSTRACT FROM AUTHOR]

Introduction: We tried to show the effect of sinomenine (SIN) in diabetic peripheral neuropathic pain (DPNP) and the related underlying mechanism. Methods: Network pharmacological analysis and bioinformatics analysis were carried out for identification of the active ingredients of Sinomenium acutum and the related genes. The DPNP rat model was constructed and primary rat spinal cord microglial cells were isolated for in vitro cell experiments. The therapeutic role of SIN in DPNP was determined in vivo and in vitro through analysis of microglial cell activation and inflammatory response. Results: Therapeutic role of S. acutum in DPNP was mainly achieved by regulating 14 key genes, among which the target gene prostaglandin‐endoperoxide synthase 2 (PTGS2) of SIN might be the key gene. An in vivo experiment showed that SIN inactivated the inositol‐requiring enzyme 1 alpha–X‐box binding protein 1 pathway by downregulating PTGS2, which relieved pain symptoms in DPNP rats. It was confirmed in vivo that SIN inhibited the pathway through PTGS2 to alleviate the activation of spinal cord microglial cells and inflammatory response. Conclusion: SIN decreases the expression of PTGS2 to inactivate the inositol‐requiring enzyme 1 alpha–X‐box binding protein 1 signaling pathway, which inhibits microglial activation, as well as the release of inflammatory factors, thus alleviating DPNP. [ABSTRACT FROM AUTHOR]

Crustal thickness plays a key role in many geological processes. However, it remains challenging to quantify crustal thickness in the geological past. Here we propose an Extremely Randomized Trees algorithm‐based machine learning model to recover crustal thickness of old geological regions. The model is trained using major oxide and trace element compositions of 1,480 young intermediate to felsic rocks from global arcs and collisional orogens and geophysical measurements of crustal thickness. The model provides better estimations of crustal thickness than the commonly used methods based on Sr/Y and (La/Yb)N when applied to the testing data. The validity of this model is further demonstrated by its applications to the Kohistan–Ladakh, Gangdese and Talkeetna arcs, where paleocrustal thicknesses have been well constrained. We then use this model to construct the Mesozoic crustal thickness evolution of the Erguna Block in the southeast of the Mongol–Okhotsk suture belt. The closure time of the suture zone is still debated. Our results suggest that the crustal thickness of the Erguna Block increased from 43 ± 9 km at 210 Ma to 62 ± 7 km at 180 Ma, remained constant between 180 and 150 Ma, and then thinned to 36 ± 4 km at 120 Ma. These results suggest that the Mongol–Okhotsk Ocean closed in the Early–Middle Jurassic and the thickened crust was stretched during the Cretaceous. We show that the thick crust and compression‐extension transition seem to be favorable for the formation of porphyry copper deposits in the Erguna Block during the Late Jurassic. Plain Language Summary: Crustal thickness influences surface processes, magmatic compositions, formation of porphyry deposits, and regional lithospheric strength and stress regime, and its evolution may track tectonic paradigm changes. Although present crustal thickness can be detected by geophysical methods, it is more difficult to quantify crustal thickness in the geological past. We propose a machine learning model that is trained with major oxide and trace element compositions of magmatic rocks to quantify crustal thickness. The performance of our machine learning model on the testing data and several collisional zones shows that it provides a better crustal thickness estimate than the widely used Sr/Y and (La/Yb)N methods. As a case study, we apply this model to the Mesozoic magmatic belt in the Erguna Block southeast of the Mongol–Okhotsk suture in the eastern Central Asian Orogenic Belt, and suggest that the Mongol–Okhotsk Ocean closed at ∼180 Ma. Key Points: The machine learning model provides better estimations of crustal thickness than the commonly used methods based on Sr/Y and (La/Yb)NThe reconstructed crustal thicknesses of the Kohistan–Ladakh, Talkeetna and Gangdese arcs are consistent with previous studiesThe crustal thickness evolution of Erguna Block suggests Mongol–Okhotsk Ocean closed at ∼180 Ma [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ecology is the property of Wiley-Blackwell 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.)

Aims: The aim of this study was to evaluate the clinicopathological features, immunophenotype, differential diagnosis, molecular genetic features and prognosis of spindle cell rhabdomyosarcoma with TFCP2 rearrangement. Methods: Two cases of spindle cell rhabdomyosarcoma with FET::TFCP2 gene fusion were included in this study. Samples were collected and evaluated through histological observation, immunohistochemistry, fluorescence in‐situ hybridisation and high‐throughput gene sequencing and previous findings. Results: The tumour tissues mainly comprised spindle cells and epithelioid cells, which expressed striated muscle markers, and exhibited high expression levels of CK and ALK protein markers. Molecular detection showed that the FET::TFCP2 gene was fused. A rare case with TIMP3::ALK and FUS::TFCP2 double‐fusion was observed in this study. Conclusions: A case with double fusion of ALK and TFCP2 was reported in rhabdomyosarcoma for the first time in this study, which provides information on the molecular characteristic of the tumour. Spindle cell rhabdomyosarcoma with FET::TFCP2 fusion is characterised by histological, immunohistochemical and genetic changes. The tumour is aggressive, with poor prognosis and poor response to radiotherapy and chemotherapy. The efficacy of targeted therapy for ALK should be explored through more clinical studies. [ABSTRACT FROM AUTHOR]

Plasma bubbles are large‐scale irregular structures that often occur at equatorial latitudes, equatorial plasma bubbles (EPBs) affect the propagation of high‐frequency (HF) radio waves. Based on their main observational characteristics, a three‐dimensional (3D) model of EPBs was established, and a preliminary simulation of EPBs was performed. Three‐dimensional ray tracing can be used to simulate HF radio wave propagation. In this study, we consider EPBs at different scales, appearing at different times and different heights, and investigate the influence of EPBs on the propagation path of radio waves at low latitudes. The simulation results show that when they propagate through EPBs of different scales, the propagation paths of radio waves are completely different. Radio waves at 6, 8, and 10 MHz show obvious refraction; With an increase in EPB scale, the focusing effect of radio waves will diminish, and the focusing height will increase. The propagation of HF radio waves through EPB change with time as follows: partial penetration, partial reflection, and total penetration, the refraction effect of EPB on radio waves gradually decreases over time. When radio waves propagate through EPB at different heights, the simulation results show that EPB at an altitude of 200 km makes little impact on the radio waves. As the height of EPB increases, the radio waves will exhibit significant refraction, showing an obvious focusing effect. Key Points: The influence of plasma bubbles on radio wave propagation can be simulated by three‐dimensional ray tracingRadio waves propagating through plasma bubbles exhibit significant refraction, showing an obvious focusing effectWith the increase in radio frequency, the focusing effect of radio waves will diminish, and the focusing height will increase [ABSTRACT FROM AUTHOR]

Copyright of Journal of Animal Ecology is the property of Wiley-Blackwell 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.)

Superconductivity becomes more interesting when it encounters dimensional constraint or topology because it is of importance for exploring exotic quantum phenomena or developing superconducting electronics. Here, the coexistence of naturally formed surface superconducting state and 3D topological Dirac state in single crystals of BaMg2Bi2 is reported. The electronic structure obtained from the first‐principles calculations demonstrates that BaMg2Bi2 is an ideal Dirac material, in which the Dirac point is very close to the Fermi level and no other energy band crosses the Fermi level. Superconductivity up to 4.77−−5.17 K can be observed under ambient pressure in the measurements of resistivity. The anisotropic upper critical field and angle dependent magnetoresistance reveals the 2D characteristic of superconductivity, indicating that superconductivity occurs on the surface of the sample and is absent in the bulk state. The study not only provides BaMg2Bi2 as a suitable platform to study the interplay between superconductivity and topological Dirac state but also indicates that MgBi‐based materials may be a promising system for exploring new superconductors. [ABSTRACT FROM AUTHOR]