Abstract
Background
Dinutuximab β can be used to treat children with high‐risk neuroblastoma (NB). Due to its high price, whether dinutuximab β is cost‐effective for the treatment of high‐risk NB ...remains uncertain. Therefore, assessing the cost‐effectiveness of dinutuximab β in children with high‐risk NB is of high importance.
Methods
The health utilities and economic outcomes in children with high‐risk NB were projected using a partitioned survival model. The individual patient data (IPD) of add‐on treatment with dinutuximab β (GD2 group) were derived from the literature, while the IPD of traditional therapy (TT group) were obtained from retrospective data of Shanghai Children's Medical Center. Treatment costs included drugs, adverse event‐related expenses, and medical resource use. Utility values were obtained from the literature. Costs and quality‐adjusted life‐years (QALYs) were measured over a 10‐year time horizon. Deterministic sensitivity analyses (DSA) and probabilistic sensitivity analyses (PSA) were also conducted.
Results
Compared with the TT group, QALY increased in the GD2 group by 0.72 with an increased cost of $171,269.70, leading to an incremental cost‐effectiveness ratio of 236,462.75$/QALY. DSA showed that the price of dinutuximab β was the main factor on the results than other parameters. Compared with the TT group, the GD2 group could not be cost‐effective in the PSA at the $37,920/QALY threshold.
Conclusion
Results found that dinutuximab β is not a cost‐effective treatment option for children with high‐risk NB unless its price is significantly reduced.
SiOx-based anodes have received intensive attention with the effort on increasing the energy density of lithium-ion batteries (LIBs) for applications such as electric and hybrid electric vehicles. To ...ensure the security and energy density of LIBs, it is prerequisite to address the cell deformation arising from the huge volume variation of SiOx-based anodes during battery operation. We herein reported the compacted SiOx/G/C granules constructed by the interfacial adhesion between SiOx nanoparticles and thin-layer graphite under the collaborative auxiliary of binder pitch, which contributes to preserving intact conduction pathway and structure integrity of anodes during the repeated lithiation/delithiation process. The as-prepared SiOx/G/C granules deliver superior cycling stability, high initial Coulombic efficiency and good rate capability. In particular, low deformation (13.7% thickness expansion), which is comparable with that of graphite anodes, could be attained in high capacity SiOx/G/C anode (653 mA h g−1). The excellent properties of SiOx/G/C anodes, especially in maintaining structure integrity and lowering deformation, provide insights into the rational design of high capacity electrode materials with huge volume variation.
SiOxnanoparticles are uniformly anchored on thin-layer graphite and wrapped together by amorphous carbon via an effective and facile interface adhesion strategy, which is fruitful in improving electrical conductivity, maintaining structural integrity and lowering the volume deformation of SiOx-based anodes during calendering and (de)lithiation process. The resultant SiOx/G/C anodes present superior electrochemical performance and ultralow deformation under high pressing density. Display omitted
•The inherent disadvantages of SiOx-based anodes are tackled by constructing intimate interfacial connection.•The multifunctional binder is developed to achieve the dispersion, agglomerant and C-coating of nanoparticles.•The designed SiOx-based anode exhibits ultralow volume expansion under high pressing density.•The novel strategy is fruitful in maintaining structure integrity of anodes with high volume variation.
The field of fluorescence sensing, leveraging various supramolecular self-assembled architectures constructed from macrocyclic pillar
arenes, has seen significant advancement in recent decades. This ...review comprehensively discusses, for the first time, the recent innovations in the synthesis and self-assembly of pillar
arene-based supramolecular architectures (PSAs) containing metal coordination sites, along with their practical applications and prospects in fluorescence sensing. Integrating hydrophobic and electron-rich cavities of pillar
arenes into these supramolecular structures endows the entire system with self-assembly behavior and stimulus responsiveness. Employing the host-guest interaction strategy and complementary coordination forces, PSAs exhibiting both intelligent and controllable properties are successfully constructed. This provides a broad horizon for advancing fluorescence sensors capable of detecting environmental pollutants. This review aims to establish a solid foundation for the future development of fluorescence sensing applications utilizing PSAs. Additionally, current challenges and future perspectives in this field are discussed.
Maize tassel detection is essential for future agronomic management in maize planting and breeding, with application in yield estimation, growth monitoring, intelligent picking, and disease ...detection. However, detecting maize tassels in the field poses prominent challenges as they are often obscured by widespread occlusions and differ in size and morphological color at different growth stages. This study proposes the SEYOLOX-tiny Model that more accurately and robustly detects maize tassels in the field. Firstly, the data acquisition method ensures the balance between the image quality and image acquisition efficiency and obtains maize tassel images from different periods to enrich the dataset by unmanned aerial vehicle (UAV). Moreover, the robust detection network extends YOLOX by embedding an attention mechanism to realize the extraction of critical features and suppressing the noise caused by adverse factors (e.g., occlusions and overlaps), which could be more suitable and robust for operation in complex natural environments. Experimental results verify the research hypothesis and show a mean average precision (mAP@0.5) of 95.0%. The mAP@0.5, mAP@0.5–0.95, mAP@0.5–0.95 (area=small), and mAP@0.5–0.95 (area=medium) average values increased by 1.5, 1.8, 5.3, and 1.7%, respectively, compared to the original model. The proposed method can effectively meet the precision and robustness requirements of the vision system in maize tassel detection.
Gallium-based liquid metals (LMs) hold great promise as potential star materials for wearable and flexible electronics due to their superior electrical conductivity, high thermal conductivity, and ...good deformability. However, it remains still a huge challenge to realize the good dispersion of LM droplets. Herein, we demonstrated the design of highly stable LM droplets with the assistance of carbon nanotubes (CNTs). The resultant CNT@LM droplets showed excellent dispersion stability, without obvious precipitation even after settling for 30 days. The CNT@LM droplets could be easily sprayed onto diverse polymer substrates (thermoplastic polyurethanes, cellulose, and polyethylene terephthalate), showing an electrical conductivity of 1.0 × 106 S/m and a superior electromagnetic interference shielding effectiveness of 50.9 dB at only 5 μm thickness. Moreover, the CNT@LM droplets exhibited a homogeneous dispersion in waterborne polyurethane and it was demonstrated the as-prepared composite films excellent Joule heating performance with a high saturation temperature (63.0 °C) at a low supplied voltage (2.0 V). In addition, a superior out-plane thermal conductivity of 2.19 W/(m·K) was achieved for the composite films. This work provides a novel idea to address the agglomeration of LMs, opening a promising avenue for their practical applications in wearable and flexible electronics.
Display omitted
•Demonstrating the design of highly stable LM droplets with the assistance of CNTs.•The CNT@LM coating achieved an ultrahigh electrical conductivity of 1.0 × 106 S/m.•The CNT@LM coating offered an excellent EMI SE of 50.9 dB (5 μm thickness).•The CNT@LM droplets exhibited a homogeneous dispersion in polymer matrixes.
Automatic defect detection is gaining huge importance in photovoltaic (PV) field due to limited application of manual/visual inspection and rising production quantities of PV modules. This study is ...conducted for automatic detection of PV module defects in electroluminescence (EL) images. We presented a novel approach using light convolutional neural network architecture for recognizing defects in EL images which achieves state of the art results of 93.02% on solar cell dataset of EL images. It requires less computational power and time. It can work on an ordinary CPU computer while maintaining real time speed. It takes only 8.07 ms for predicting one image. For proposing light architecture, we perform extensive experimentation on series of architectures. Moreover, we evaluate data augmentation operations to deal with data scarcity. Overfitting appears a significant problem; thus, we adopt appropriate strategies to generalize model. The impact of each strategy is presented. In addition, cracking patterns and defects that can appear in EL images are reviewed; which will help to label new images appropriately for predicting specific defect types upon availability of large data. The proposed framework is experimentally applied in lab and can help for automatic defect detection in field and industry.
•A framework using CNN is proposed for automatic detection of defects in PV cells.•It achieved state of the art results of 93.02% accuracy on EL image dataset.•It can work on ordinary CPU computer while maintaining real time speed (8.07 ms).•Data augmentation operations are evaluated that increase accuracy up to 6.5%.•Defect types appeared in EL images are discussed that can help for manual labelling.
The g-C
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-MoS
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-M(OH)
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ternary heterostructures were designed and fabricated for the first time. The embedding of noble-metal-free MoS
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-M(OH)
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dual cocatalysts over g-C
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nanosheets led ...to obvious synergistic effect for improving the transport as well as utilization efficiency of photo-generated charge carriers. Consequently, the optimal ternary heterostructure (g-C
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-MoS
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-Ni(OH)
2
) exhibited photocatalytic hydrogen production activity 4.5 times larger than the sum of the photocatalytic HER activity of g-C
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-MoS
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and g-C
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-Ni(OH)
2
. More significantly, even in the absence of the sacrificial agent, the g-C
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4
-MoS
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-Ni(OH)
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ternary heterostructure exhibited a photocatalytic HER activity of 0.3 mmol h
−1
g
−1
with considerable H
2
O
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production under UV-visible light.
The g-C
3
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-MoS
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-M(OH)
x
ternary heterostructures were designed and fabricated for the first time.
This article delves into the application of Dimer images in addressing two-body problems within lattice quantum chromodynamics (LQCD), providing the finite volume energy spectrum of deuterons in the ...context of S13-D13 coupled-channels. The author commences by introducing the Dimer-particle method and formulating the Lagrangian for the scattering of two fermions. Additionally, the author defines the relativistic high partial zeta-function in a moving reference system and outlines a method for its rapid convergence calculation. The article further scrutinizes zeta-function representations across various momentum shells and discusses issues related to symmetry breakdown in specific momentum configurations. In sum, this work presents innovative methods for incorporating spin and isospin indices into dimer models, thereby establishing closer relevance to LQCD and deuteron studies.
Glioblastoma (GBM), a malignant brain tumor, is a world-wide health problem because of its poor prognosis and high rates of recurrence and mortality. Apolipoprotein C1 (APOC1) is the smallest of ...apolipoproteins, implicated in many diseases. Recent studies have shown that APOC1 promotes tumorigenesis and development of several types of cancer. In this study we investigated the role of APOC1 in GBM tumorigenesis. Using in silico assays we showed that APOC1 was highly expressed in GBM tissues and its expression was closely related to GBM progression. We showed that APOC1 protein expression was markedly increased in four GBM cell lines (U251, U138, A172 and U87) compared to the normal brain glia cell lines (HEB, HA1800). In U251 cells, overexpression of APOC1 promoted cell proliferation, migration, invasion and colony information, which was reversed by APOC1 knockdown. APOC1 knockdown also markedly inhibited the growth of GBM xenografts in the ventricle of nude mice. We further demonstrated that APOC1 reduced ferroptosis by inhibiting KEAP1, promoting nuclear translocation of NRF2 and increasing expression of HO-1 and NQO1 in GBM cells. APOC1 also induced ferroptosis resistance by increasing cystathionine beta-synthase (CBS) expression, which promoted trans-sulfuration and increased GSH synthesis, ultimately leading to an increase in glutathione peroxidase-4 (GPX4). Thus, APOC1 plays a key role in GBM tumorigenesis, conferring resistance to ferroptosis, and may be a promising therapeutic target for GBM.
An artificial “salt-in-polymer” SEI, composed of poly-(1,3-dioxolane) and high-modulus fluorinated products generated from the in situ decomposition of Li salts, was constructed on the surface of ...Li-MSiOx particles. This LiF-rich SEI helps to maintain the structural integrity of Li-MSiOx particles and improves the Li storage reversibility of the Li-MSiOx anode.
