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Strontium stannate SrSnO3 (SSO) has been proposed as a promising alternative electron transport layer (ETL) for perovskite solar cells (PSCs) due to its superior conductivity and photoelectronic pr...

Dolostones are widely developed in the middle Permian rocks of East Yunnan, China, mainly in the shoal-facies Maokou Formation. The previously reported dolostone formation mechanisms cannot explain the distribution and geochemical characteristics of these dolostones, in particular their strontium, magnesium and oxygen isotope signatures. To help predict the distribution of dolostone reservoirs and reduce the exploration risk and cost, this study proposes a new model of dolomitization: open thermal convection dolomitization. In this new dolomitization model, Mg2+ in dolomitizing fluids originates mostly from seawater, with a minor component coming from deep hydrothermal fluids. Elevated heat flux (in this case due to the nearby Emei mantle plume) causes spatial temperature variations in the fluid along the circulation flow pathways, resulting in fast and pervasive dolomitization of limestone. The proposed model not only explains the characteristics and distribution of dolostones in the study area but also serves as a reference for predicting the distribution of dolostones in other areas subjected to thermal convection.

The reasonable design and construction of non-precious metal electrocatalysts with low cost and high performance is critical for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). Herein, a facile polymerization-pyrolysis method is proposed to encapsulate Co2P nanoparticles in co-doped hollow carbon shell by using ZIF-67 and P-containing polymers as precursor. The unique construction not only effectively prevents nanoparticles from detaching, showing good stability after long-term testing, but also provides abundant active sites, large surface areas and large pore volumes, enabling the electrolyte and electrode material to full contact. As expected, the Co2P/NPSC-800 performs superior HER performance with low overpotential of 173 mV at 10 mA cm−2 and excellent stability of 88% retention for 35 h and OER performance with low overpotential of 320 mV at 10 mA cm−2, which endows Co2P/NPSC-800 with good catalytic activity in overall water splitting. Furthermore, density functional theory (DFT) calculations reveal that the metallic property and the decreased reaction barriers of Co2P can promote the catalytic reactions. This work offers an effective route in synthesizing other transition metal phosphides with high catalytic properties.

Conjugated microporous polymers (CMPs) as emerging porous materials with diverse structures and tunable building-units have attracted much attention in the electrochemical field. Herein, we designed phthalocyanine-porphyrin-based conjugated microporous polymers as precursors for fabrication of Co, Fe, N tri-doped graphene composites towards oxygen reduction and evolution reaction (ORR/OER). As expected, the elements cobalt and iron are well dispersed in graphene carbon and interact with the nitrogen sites, thereby providing extra electrocatalytic active sites and enhancing its overall conductivity. Benefiting from its unique design and structure, the obtained catalyst affords a superior bifunctional catalytic activity with a positive onset potential of 0.957 V for ORR, and a low overpotential of 0.36 V for OER. More attractively, the CoFeNG is employed as an air cathode catalyst in Zn-air batteries, showing a maximum current density of 215 mA cm-2 and good cycle stability for 20000 s. The rational design of phthalocyanine-porphyrin-based derivatives provides a feasible route for the construction of high-performance ORR/OER catalysts.

As a superstars of photovoltaic devices, organic–inorganic hybrid perovskite solar cells (PSCs) have garnered plenty of interest due to their superior character. However, many defects, such as carr...

We sharpen run-time analysis for algorithms under the partial rejection sampling framework. Our method yields improved bounds for: the cluster-popping algorithm for approximating all-terminal network reliability; the cycle-popping algorithm for sampling rooted spanning trees; the sink-popping algorithm for sampling sink-free orientations. In all three applications, our bounds are not only tight in order, but also optimal in constants., 18 pages, 1 figure

Covalent organic polymers (COPs) provide an interesting platform for constructing the low-cost and highly efficient multifunctional electrocatalysts in view of their tailorable structures and prope...

The lithium/sodium-ion storage properties of transition metal oxides often undergo startling volume variation and poor electrical conductivity. Herein, N, P and S doped dual carbon-confined Fe3O4 nanospheres (Fe3O4@C@G) are prepared by the multi-heteroatom-doped dual carbon-confined strategy. The first carbon layer results from multi-heteroatom-containing polymer derived N, P and S doped carbon to form Fe3O4@doped carbon core-shell nanostructure. And the second carbon layer results from the further encapsulated reduced graphene oxide (rGO) to form Fe3O4@doped carbon@graphene 3D architecture (Fe3O4@C@G). As expected, the resulting Fe3O4@C@G can be served as the universal anode materials towards lithium/sodium-ion batteries (LIBs/SIBs). Interestingly, Fe3O4@C@G delivers higher reversible capacity of 919 mAh g−1 at 0.1 A g−1 for LIBs. As for SIBs, Fe3O4@C@G also shows a high reversible capacity of 180 mAh g−1 after 600 cycles at 0.1 A g−1. Furthermore, the electrochemical reaction kinetics in LIBs/SIBs are investigated and Li+ full cells are also assembled to demonstrate its practical application.

In a covariant quark-diquark model, we investigate the rare decay of $\Lambda_b \rightarrow n l^+ l^-$ and $\Lambda_b \rightarrow n \gamma$ in the Bethe-Salpeter equation approach. In this model the baryons are treated as bound states of a constituent quark and a diquark interacting via a gluon exchange and the linear confinement. We find that the ratio of form factors $R$ is varies from $-0.90$ to $-0.25$ and the branching ratios $Br(\Lambda_b \rightarrow n l^+ l^-)\times 10^{8}$ are $6.79(l=e),~4.08 ~ (l=\mu),~2.9 ~(l=\tau) $ and the branching ratio $Br(\Lambda_b \rightarrow \gamma)\times 10^{7} )=3.69$ in central values of parameters., Comment: arXiv admin note: text overlap with arXiv:1911.08023

Conjugated carbonyl compounds have received much attention as cathode materials for developing green lithium-ion batteries (LIBs). However, their high dissolution and poor electronic conductivity in organic electrolyte restrict their further application. Herein, a self-polymerized nitro-substituted conjugated carbonyl compound (2,7-dinitropyrene-4,5,9,10-tetraone, PT-2 NO2 ) is applied as a high-performance cathode material for LIBs. PT-2 NO2 exhibits a high reversible capacity of 153.9 mAh g-1 at 50 mA g-1 after 120 cycles, which is higher than that of other substituted compounds. Detailed characterization and theoretical calculations have testified that PT-2 NO2 is transformed into an azo polymer through an irreversible reductive coupling reaction in the first discharge process, and then carbonyl and azo groups reversibly react with Li ions in subsequent cycles. In addition, this azo polymer is also synthesized and applied as the electrode material, which shows similar electrochemical performance to PT-2 NO2 but with higher initial coulombic efficiency. Thus, this work provides a simple but effectively way to construct organic cathode materials with multiple redox sites for green and high-performance LIBs.

Residential load forecasting is important for many entities in the electricity market, but the load profile of single residence shows more volatilities and uncertainties. Due to the difficulty in producing reliable point forecasts, probabilistic load forecasting becomes more popular as a result of catching the volatility and uncertainty by intervals, density, or quantiles. In this paper, we propose a unified quantile regression deep neural network with time-cognition for tackling this challenging issue. At first, a convolutional neural network with multiscale convolution is devised for extracting more behavioral features from the historical load sequence. In addition, a novel periodical coding method marks the model to enhance its ability of capturing regular load pattern. Then, features generated from both subnetworks are fused and fed into the forecasting model with an end-to-end manner. Besides, a globally differentiable quantile loss function constrains the whole network for training. At last, forecasts of multiple quantiles are directly generated in one shot. With ablation experiments, the proposed model achieved the best results in the AQS, AACE, and inversion error, and especially the average of the AACE is grown by 34.71%, 75.22%, and 32.44% compared with QGBRT, QCNN, and QLSTM, respectively, indicating that our method has excellent reliability and robustness rather than the state-of-the-art models obviously. Meanwhile, great performances of efficient time response demonstrate that our proposed work has promising prospects in practical applications.

Nickel nitride (Ni3N) is a superior hydrogen evolution reaction (HER) catalyst where the nitrogen source is usually ammonia and the reaction temperature is high during the synthesis process. Herein, we employed an innovative method to obtain three-dimensional porous nickel nitride nanosheets on Ni foam (Ni3N/NF) by transforming Ni(OH)2 nanosheets in N2-H2 glow discharge plasma. The obtained Ni3N/NF displays a high HER activity with a small overpotential of 44 mV and a low Tafel slope of 46 mV dec-1, which is competitive to a Pt/C catalyst. Both the test data and simulation results prove that active ions and radicals in plasma play essential roles in achieving the facile nitridation, as well as building a nanostructured morphology over the Ni3N/NF surface. The unique synthesis method opens new avenues for metal nitrides of HER catalysts and beyond.

Purple sweet potato is known as a rich source of protein and anthocyanins. Anthocyanins can form complexes with protein present in food products through non-covalent forces or covalent bonds during processing, transportation, and storage as their protein affinity. We evaluated the hypoglycemic effects of protein-bound anthocyanin compounds of purple sweet potato (p-BAC-PSP) and free anthocyanin compounds of purple sweet potato (FAC-PSP) in high-fat diet/streptozotocin-induced diabetic mice. The results showed that administration of both p-BAC-PSP and FAC-PSP improved diabetic condition, as evidenced by the improvement of glucose tolerance and lipid metabolism, and the decrease of oxidative stress and liver damage. For the mechanism study, we have found that p-BAC-PSP and FAC-PSP induced the expression of AMP-activated protein kinase in liver. With p-BAC-PSP or FAC-PSP treatment, glucose transporter type 2, the protein levels of glucokinase, and insulin receptor α were found to be improved significantly (p < 0.05). Glycolysis key genes, phosphofructokinase and pyruvate kinase, were upregulated in two treatment groups, while gluconeogenic genes, glucose-6-phosphatase and phosphoenolpyruvate carboxykinase, were downregulated. Our findings suggested that p-BAC-PSP has great potential as a dietary supplement with hypoglycemic activity for general, pre-diabetic, and diabetic population.

It has been a major challenge to dispose the unrenewable high-performance polymers (HPPs) after their large-scale application in our society. Here we report an approach to reuse one kind of HPP as carbon and sulfur sources in synthesizing nitrogen and sulfur dual-doped honeycomb-like porous carbon catalysts for oxygen reduction reaction. Briefly, poly(phenylene sulfide sulfone) with S atoms in polymer chain as sulfur source, dicyandiamide as nitrogen source and SiO2 nanoparticles as hard-template are pyrolyzed in designed temperatures under argon atmosphere. Then N, S dual-doped carbon catalysts (N, S@C) are obtained after subjected etching treatment. By adjusting moderate amount of SiO2, the optimized catalyst (denoted as N, S@CM-1000) pyrolyzed at 1000 °C, shows best ORR electrocatalytic activity in alkaline environment. Impressively, when N, S@CM-1000 is used as a cathode catalyst, the corresponding assembled zinc-air batteries exhibit a maximum power density of 90 mW cm−2 with long-term durability and high rate capacity. Therefore, this work provides a feasible way to resolve and reuse the unrenewable HPP for synthesizing heteroatom doped carbon-based catalysts.

Conjugated microporous polymers are emerging as promising materials for lithium ion batteries (LIBs) because of their permanent and controlled porosity, high surface areas, and tunable structures. Herein, an aromatic carbonyl compound-linked conjugated microporous polymer based on pyrene-4,5,9,10-tetraone (PT-BTA) is synthesized by Suzuki coupling reaction. Profiting from the extended conjugation structure, the as-obtained PT-BTA polymer shows good cycling stability and high electronic conductivity compared with the PT monomer. When explored as a cathode material for LIBs, PT-BTA shows enhanced electrochemical performance, including a high capacity (166.7 mA h g−1 at 0.05 A g−1), stable cycling (70.1% capacity retention after 500 cycles at 0.2 A g−1), and excellent rate capability (93.1 mA h g−1 even at 1 A g−1). Furthermore, theoretical calculations and comprehensive characterizations are proposed to deeply understand the Li+ storage mechanisms. Our work may offer a rational molecular design strategy for the construction of organic-based next generation sustainable energy storage systems.

In order to describe the uncertain relationship between evaluation indicators of product and evaluate the product solution dynamically and rapidly, a dynamic evaluation method based on Bayesian network is proposed. First, we establish and analyze the evaluation indicators of design solutions, and build a Bayesian network model; second, the parameters of the Bayesian network are calculated by expert experience or maximum likelihood estimation in different application environments; then the indicators that have the highest influence on product evaluation are computed based on the sensitivity analysis in order to obtain the improvement direction of product design. Finally, the proposed method is verified by the example of a subway vehicle traction motor.

Xian Zou,1,* Zhi Heng Guo,2,* Qun Li,3 Pei Song Wang3 1NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Department of Surgery, Jiang Yuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi 214063, Jiangsu, People’s Republic of China; 2Department of Obstetrics, The First Hospital of Jilin University, Changchun 130021, Jilin, People’s Republic of China; 3Department of Thyroid Surgery, The First Hospital of Jilin University, Changchun 130021, Jilin, People’s Republic of China*These authors contributed equally to this workCorrespondence: Pei Song WangDepartment of Thyroid Surgery, The First Hospital of Jilin University, No. 71 on Xinmin Street, Changchun 130021, Jilin, People’s Republic of ChinaTel +86 431-8187 5291Email wangps131@126.comBackground: Increasing evidence shows that Long non-coding RNAs (lncRNAs) involve in the development and progression processes of various cancers, including papillary thyroid cancer (PTC). In this study, we focused on the regulation function of lncRNA LINC00460 in the development of PTC.Methods: Expression of LINC00460 was detected using quantitative real-time PCR (qRT-PCR) and Western blot assay. Cell proliferation, cell apoptosis and cell invasion were determined through CCK-8 assay, flow cytometry, and Transwell assay, respectively. In addition, target sites were detected by the dual-luciferase reporter gene assay.Results: LINC00460 expression was markedly up-regulated in PTC tissues and cells compared to their corresponding controls by quantitative real-time PCR (qRT-PCR). Meanwhile, LINC00460 knockdown notably inhibited the proliferation capacity, accelerated the apoptosis and down-regulated the invasion-related proteins (MMP-2, MMP-9, ZEB1) expression. In addition, bioinformatics tools predicted that miR-539 both targeted with the 3ʹ-UTR of LINC00460 and MMP-9, which was confirmed by luciferase reporter assay and Western blot.Conclusion: These findings indicated that LINC00460 can modulate MMP-9 expression to promote cell proliferation, invasion and apoptosis through targeting miR-539, suggesting act as an oncogenic RNA in PTC and provide a new therapeutic perspective.Keywords: papillary thyroid cancer, LINC00460, proliferation, invasion, apoptosis &nbsp

Existing enhancement methods are empirically expected to help the high-level end computer vision task: however, that is observed to not always be the case in practice. We focus on object or face detection in poor visibility enhancements caused by bad weathers (haze, rain) and low light conditions. To provide a more thorough examination and fair comparison, we introduce three benchmark sets collected in real-world hazy, rainy, and low-light conditions, respectively, with annotated objects/faces. We launched the UG2+ challenge Track 2 competition in IEEE CVPR 2019, aiming to evoke a comprehensive discussion and exploration about whether and how low-level vision techniques can benefit the high-level automatic visual recognition in various scenarios. To our best knowledge, this is the first and currently largest effort of its kind. Baseline results by cascading existing enhancement and detection models are reported, indicating the highly challenging nature of our new data as well as the large room for further technical innovations. Thanks to a large participation from the research community, we are able to analyze representative team solutions, striving to better identify the strengths and limitations of existing mindsets as well as the future directions.

Phosphorus is a promising anode material for lithium ion batteries, while it suffers from poor electronic conductivity and large volume change during operation. These drawbacks can be effectively overcome by replacing P with Cu3P, in which Cu serves as a conductive buffer. However, this strategy will cause significant capacity loss due to inclusion of inert Cu. In this work, we use plasma activated phosphorus vapor to deposit P on a Cu current collector, which converts the surface of the Cu into Cu3P in situ. In this case, the P electrode is converted to a Cu3P electrode without an external Cu source except for the current collector. The high chemical reactivity of plasma allows phosphorization at only 200 °C, leading to a monolithic electrode with excellent mechanical strength and free of any conductive additive and binder. The obtained electrode exhibits a high initial coulombic efficiency of >90%. The areal capacity is up to 2.3 mA h cm−2 after 50 cycles at 3.2 mA cm−2.

Planar-heterojunction lead halide perovskite solar cells (PSCs) have attracted considerable attention because of their simple and low-temperature fabrication process. Unfortunately, the electron transport layer (ETL) in these planar devices still suffer low electron mobility due to inefficient photoelectron extraction and carrier recombination, leading to low stable efficiency with high J–V hysteresis. Here, we prepared chlorine-capped tin oxide nanocrystals (SnO2-Cl) by facile treatment of SnO2 nanoparticles with chloroform-D/2-methoxy ethanol solvent. By introducing halogen (Cl), the hydrophobic surface increases the grain size and crystallinity of perovskites, which dramatically reduces the charge trap density and suppresses the charge recombination. Combining the high work function, SnO2-Cl as an ETL exhibits superior electronic properties by mitigating non-radiative recombination with faster charge carrier transfer. The results show that SnO2-Cl based planar-heterojunction perovskite solar cells produce remarkably higher performances compared with untreated SnO2, increasing the power conversion efficiency (PCE) from 15.07% to 18.1% free of hysteresis. This simple method, providing the effect of halogen modified electron transport layer interface, paves the way for its application in interface engineering on ETL/perovskites for PSCs with enhanced photovoltaic performance.

The development of bimetallic-based ternary materials (BTMs) has attracted much attention due to their multi-component flexibility and synergistic effect. Herein, BTM (Ce2Sn2O7) nanoparticles are encapsulated into graphene (Ce2Sn2O7/RGO), which served as a novel anode material for lithium-ion batteries and capacitors (LIBs/LICs). Benefiting from the synergistic effects from two metal elements and the conductive networks of graphene, the optimized Ce2Sn2O7/RGO delivers a reversible capacity of 814.6 mA h g−1 at 0.05 A g−1, good cycling performance with a reversible capacity of 369.5 mA h g−1 after 1500 cycles at 1 A g−1 and a superior rate capability of 432.4 mA h g−1 at 2 A g−1 in Li+ half cells. Meanwhile, the detailed phase transition and kinetics analysis as well as the theoretical calculation are performed to investigate the reaction mechanisms behind the good electrochemical performance. Furthermore, the Ce2Sn2O7/RGO also shows good lithium-ion full cell and capacitor performances coupled with commercial LiCoO2 and activated carbon, respectively, which further demonstrates the application prospect of Ce2Sn2O7/RGO.

Colloidal quantum dot (CQD) based photoelectrochemical cells (PECs) for solar-driven hydrogen (H2) generation offer an avenue to convert solar energy into chemical fuel. So far, recent advances in CQD-based PEC performance have relied on the use of defect passivation strategies. Specifically, shell-isolated defect passivation in ternary I–III–VI CQDs has been shown to contribute to lowered trap state densities, strengthened effective charge separation, and improved photovoltaic performance. Here we present a kind of heavy metal-free Cu-doped AgIn5S8/ZnS (CAIS/ZnS) core/shell CQD that shows a remarkable photocatalytic efficiency with an engineered shell thickness. In particular, we add a capping ZnS layer to protect the CAIS/ZnS CQD surface in photoanodes and thus enable a dual defect passivation strategy based on the homojunction combination. This strategy passivates surface defects and enhances photogenerated charge transportation in order to maintain high catalytic efficiency, and the additional ZnS layer suppresses energy transfer and nonradiative recombination for better charge injection and greater stability performance of PEC devices. As a result, we achieved a saturated photocurrent density of 23.40 mA cm−2 for a CAIS/ZnS CQD-based PEC measured at 0.75 V versus RHE under 3 suns (that is 3 times the standard solar irradiance of 100 mW cm−2), as compared to 10.60 mA cm−2 under 1 sun, which is a record for heavy metal-free CQD-based photoelectrodes for solar driven hydrogen generation. Importantly, our PEC devices maintained over 50% of their original photocurrent density after 6800 s of aging under 1 sun at 0.5 V versus RHE. Our work reveals a new platform for the development of high-efficiency photocatalysts based on I–III–VI CQDs.

Thiopeptides, which are a class of sulfur-rich, ribosomally synthesized and post-translationally modified peptides (RiPPs), have great potential in the treatment of diseases caused by oral pathogens. Nocathiacin I (NOC-I) and nosiheptide (NOS) are two structurally similar thiopeptide members that feature an indolic side ring. In the structure of NOC-I, this side ring is further rigidified through the formation of an ether linkage; however, the related biosynthetic process remains poorly understood. Here, we report that NocV, a cytochrome P450 protein found to be unique in the biosynthetic pathway of NOC-I, is responsible for the establishment of the intramolecular ether linkage through two oxidation steps. This observation benefited from the heterologous overexpression of the gene nocV in an engineered Streptomyces strain producing the bicyclic NOS intermediate NOS1260, and subsequent isolation and structure characterization of two functionalized products. The product NOS-V1 contains a new hydroxyl group at Cα of the residue Glu6, in contrast with the other product NOS-V2, in which this hydroxyl group is further coupled with the C4 methyl group of the indolic moiety to form an ether linkage. These findings provide insights into the catalytic logic of NocV in the biosynthesis of NOC-I, during which this cytochrome P450 protein appears to act in tandem on two positions in NOS1260 by selectively hydroxylating Glu6 and then oxidatively coupling the indolic moiety. Rigidifying the side ring via ether bond formation has a positive impact on the antibacterial properties of NOS-type thiopeptides, evidenced by the improved activity of NOC-V2 against various tested oral pathogens compared with NOS1260.

It is generally considered that photoacoustic imaging (PAI) and fluorescence imaging (FLI) cannot be enhanced concurrently, as they are dependent on competitive photophysical processes at the single-molecule level. Herein, we reveal that BDTR9-OC8 and BDTR9-C8, which have identical π-conjugated backbones but are substituted by side chains of different rigidity, show distinct phototheranostic properties in the aggregated state. The NIR-II FLI and PAI brightness of BDTR9-C8 nanoparticles are enhanced by 4.6 and 1.4 times compared with BDTR9-OC8 nanoparticles. Theoretical calculations and GIWAXS analysis revealed that BDTR9-C8 with rigid side chains shows a relative amorphous condensed state, which will benefit the efficient transportation of photo-generated excitons and phonons, subsequently enhancing the FLI and PAI signals. Besides, both nanoparticles exhibit excellent photothermal conversion efficiency due to their strong light-harvesting capability and are considered effective photothermal therapy materials. This work provides an illuminating strategy for material design in the future.

We prove a complexity classification for Holant problems defined by an arbitrary set of complex-valued symmetric constraint functions on Boolean variables. This is to specifically answer the question: Is the Fisher-Kasteleyn-Temperley (FKT) algorithm under a holographic transformation (Valiant, SIAM J. Comput. 37(5), 1565–1594 2008) a universal strategy to obtain polynomial-time algorithms for problems over planar graphs that are intractable on general graphs? There are problems that are #P-hard on general graphs but polynomial-time solvable on planar graphs. For spin systems (Kowalczyk 2010) and counting constraint satisfaction problems (#CSP) (Guo and Williams, J. Comput. Syst. Sci. 107, 1–27 2020), a recurring theme has emerged that a holographic reduction to FKT precisely captures these problems. Surprisingly, for Holant, we discover new planar tractable problems that are not expressible by a holographic reduction to FKT. In particular, a straightforward formulation of a dichotomy for planar Holant problems along the above recurring theme is false. A dichotomy theorem for #CSPd, which denotes #CSP where every variable appears a multiple of d times, has been an important tool in previous work. However the proof for the #CSPd dichotomy violates planarity, and it does not generalize to the planar case easily. In fact, due to our newly discovered tractable problems, the putative form of a planar #CSPd dichotomy is false when d ≥ 5. Nevertheless, we prove a dichotomy for planar #CSP2. In this case, the putative form of the dichotomy is true. (This is presented in Part II of the paper.) We manage to prove the planar Holant dichotomy relying only on this planar #CSP2 dichotomy, without resorting to a more general planar #CSPd dichotomy for d ≥ 3. A special case of the new polynomial-time computable problems is counting perfect matchings (#PM) over k-uniform hypergraphs when the incidence graph is planar and k ≥ 5. The same problem is #P-hard when k = 3 or k = 4, which is also a consequence of our dichotomy. When k = 2, it becomes #PM over planar graphs and is tractable again. More generally, over hypergraphs with specified hyperedge sizes and the same planarity assumption, #PM is polynomial-time computable if the greatest common divisor (gcd) of all hyperedge sizes is at least 5. It is worth noting that it is the gcd, and not a bound on hyperedge sizes, that is the criterion for tractability.

Seven new xanthones, diaporthones A−G (1−7), together with 13 known analogues, including five mono- (8−14) and six dimeric xanthones (15−20), were obtained from the ascidian-derived fungus Diaporthe sp. SYSU-MS4722. Their planar structures were established by extensive spectroscopic analyses, including 1D and 2D NMR and high-resolution mass spectrometry (HR-ESIMS). The absolute configurations of 1−7 were clearly identified by X-ray crystallographic analysis and calculation of the ECD Spectra. Compounds 15−20 showed significant anti-inflammatory activity with IC50 values between 6.3 and 8.0 μM. In addition, dimeric xanthones (15−20) showed selective cytotoxicity against T98G cell lines with IC50 values ranging from 19.5 to 78.0 μM.

Aiming at the problem of insufficient number of samples due to the difficulty of data acquisition in the identification of tunnel lining defects, a generative adversarial network was introduced to expand the data, and the network was improved for the mode collapse problem of the traditional generative adversarial network and the problem that the generated image features were not obvious. On the basis of the WGAN-GP network, a deep convolutional network is selected as its backbone network, and the effectiveness of the deep convolutional network in feature extraction by Lv et al. (2022) is used to improve the quality of the images generated by the network. In addition, the residual module is introduced into the discriminator network, and the upsampling module is introduced into the generator network, which further solves the problem of gradient disappearance of the two networks during the update iteration process through the idea of cross-connection, while better retaining the underlying features, which effectively solves the problem of mode collapse and low quality of generated images in the generative adversarial network. Compared with the original network, the image quality of the generated adversarial network is improved, and the discriminator and generator losses converge faster. At the same time, the recognition accuracy of the YOLOv5 network is improved by 4.4% and the overfitting phenomenon is alleviated, which proves the effectiveness of the method under the limited training data set.

Waveguide–plasmon polaritons sustained in metallic photonic crystal slabs show fascinating properties, such as narrow bandwidth and ultrafast dynamics crucial for biosensing, light emitting, and ultrafast switching. However, the patterning of metallic photonic crystals using electron beam lithography is challenging in terms of high efficiency, large area coverage, and cost control. This paper describes a controllable patterning technique for the fabrication of an Ag grating structure on an indium–tin oxide (ITO) slab that enables strong photon–plasmon interaction to obtain waveguide–plasmon polaritons. The Ag grating consisting of self-assembled silver nanoparticles (NPs) exhibits polarization-independent properties for the excitation of the hybrid waveguide–plasmon mode. The Ag NP grating can also be annealed at high temperature to form a continuous nanoline grating that supports the hybrid waveguide–plasmon mode only under transverse magnetic (TM) polarization. We tuned the morphology and the periodicity of the Ag grating through the concentration of silver salt and the photoresist template, respectively, to manipulate the strong coupling between the plasmon and the waveguide modes of different orders.

Summary We utilize polymer micelle to precisely control indocyanine green (ICG) J-aggregation in a fast and highly efficient way. In addition to simple encapsulation, the polymer micelle plays a role as a host template to drive ICG J-aggregation by the synergy of electrostatic and hydrophobic attractions. We further demonstrate that, due to the robust host-guest interaction, the intact of ICG J-aggregate will be secured by the polymer encapsulation during the intracellular and in vivo incubation. These features make this hierarchical assembly between ICG J-aggregate and the micelle polymer a promising biomedicine for cancer phototheranostics. Therefore the complex micelles are further modified by introduction of doxorubicin for chemotherapy and DNA aptamer for tumor targeting, and the final multi-functional micellar medicine shows high therapeutic efficacy for tumor, i.e., the tumor can be completely eliminated with no local reoccurrence and without long-term toxicity or side effects during a 24-day period after the treatment., Graphical Abstract, Highlights • J-aggregation of ICG is facilitated by polymer micelle • Proper host-guest interactions are very critical • The aggregation significantly improves the capability of ICG in phototheranostics • The hierarchical assembly exhibits excellent photo/bio-stability, Medical Imaging; Organic Chemistry; Materials Science

A novel detection of sub-GeV dark matter is proposed in the paper. The electron cloud is boosted by the dark matter and emits an electron when it is dragged back by the heavy nucleus, namely the coherent scattering of the electron cloud of the atom. The survey in the X-ray diffraction shows that the atomic form factors are much more complicate than the naive consideration. The results of the relativistic Hartree-Fock(RHF) method give non-trivial shapes of the atoms. The detailed calculation of the recoil of the electron cloud, the kinetics, the fiducial cross section and the corresponding calculation of detection rate are given analytically. The numerical results show that the limits of the RHF form factors are much stringent than the recoil of a single electron, almost 4 orders stronger, and also gives tight limitations comparing to the Migdal effect below about several hundred MeV. The physical picture and the corresponding results are promising and need further explorations., 14 pages, 8 figures, accepted by Communications in Theoretical Physics

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Linzhi Yu,1,&ast; Yu Li,1,&ast; Rulin Ma,1 Heng Guo,1 Xianghui Zhang,1 Yizhong Yan,1 Jia He,1 Xinping Wang,1 Qiang Niu,1 Shuxia Guo1,2 1Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China; 2Department of NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital of Shihezi University Medical College, Shihezi, Xinjiang, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Shuxia Guo; Qiang Niu, Tel +86-1800-9932-625; 86-993-2057153, Fax +86-993-2057-153, Email gsxshzu@sina.com; niuqiang@shzu.edu.cnPurpose: This study aimed to explore the relationship between obesity- and lipid-related indices and insulin resistance (IR) and construct a personalized IR risk model for Xinjiang Kazakhs based on representative indices.Methods: This cross-sectional study was performed from 2010 to 2012. A total of 2170 Kazakhs from Xinyuan County were selected as research subjects. IR was estimated using the homeostasis model assessment of insulin resistance. Multivariable logistic regression analysis, least absolute shrinkage and selection operator penalized regression analysis, and restricted cubic spline were applied to evaluate the association between lipid- and obesity-related indices and IR. The risk model was developed based on selected representative variables and presented using a nomogram. The model performance was assessed using the area under the ROC curve (AUC), the Hosmer–Lemeshow goodness-of-fit test, and decision curve analysis (DCA).Results: After screening out 25 of the variables, the final risk model included four independent risk factors: smoking, sex, triglyceride-glucose (TyG) index, and body mass index (BMI). A linear dose–response relationship was observed for the BMI and TyG indices against IR risk. The AUC of the risk model was 0.720 based on an independent test and 0.716 based on a 10-fold cross-validation. Calibration curves showed good consistency between actual and predicted IR risks. The DCA demonstrated that the risk model was clinically effective.Conclusion: The TyG index and BMI had the strongest association with IR among all obesity- and lipid-related indices, and the developed model was useful for predicting IR risk among Kazakh individuals.Keywords: lipid-related indices, obesity-related indices, insulin resistance, Xinjiang Kazakhs

Perovskite nanocrystals (NCs) have emerged as attractive gain materials for solution-processed microlasers. Despite the recent surge of reports in this field, it is still challenging to develop low-cost perovskite NC-based microlasers with high performance. Herein, we demonstrate low-threshold, spectrally tunable lasing from ensembles of CsPbBr

This paper presents a photometric stereo method that works with unknown natural illumination without any calibration objects or initial guess of the target shape. To solve this challenging problem, we propose the use of an equivalent directional lighting model for small surface patches consisting of slowly varying normals, and solve each patch up to an arbitrary orthogonal ambiguity. We further build the patch connections by extracting consistent surface normal pairs via spatial overlaps among patches and intensity profiles. Guided by these connections, the local ambiguities are unified to a global orthogonal one through Markov Random Field optimization and rotation averaging. After applying the integrability constraint, our solution contains only a binary ambiguity, which could be easily removed. Experiments using both synthetic and real-world datasets show our method provides even comparable results to calibrated methods.

The ribosomally synthesized and post-translationally modified peptide (RiPP) natural products include the family of thiopeptide antibiotics, where nocathiacins (NOCs) and nosiheptide (NOS) are structurally related bicyclic members featuring an indolic moiety within the side ring system. Compared with NOS, NOCs bear additional functionalities that lead to the improvement of water solubility and bioavailability, a problem inherent to most of the thiopeptide antibiotics, and thus hold potential for clinical use in anti-infective agent development. The process through which post-translational modifications (PTMs) occur to afford these functionalities remains unclear. In this study, an engineered NOS-producing strain is applied to study the function of NocU, a cytochrome P450 oxygenase unique during the PTMs in NOC biosynthesis. Benefiting from the isolation and structure characterization of nosiheptide U (NOS-U), a new NOS-type compound with an extra hydroxyl group at the indole nitrogen, we report that NocU is responsible for the