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Since there are several limitations in cancer treatment for traditional chemotherapy, such as side effects, poor prognosis and drug resistance, developing new combined therapy is urgently needed. In this work, a biocompatible, simple and tumor microenvironment-responsive nanotheranostics (PCN-Oxpt/PEG) was built to favor the chemotherapy/ferroptosis/immunomodulation synergism in cancer. This nanotheranostics is constructed by modifying oxaliplatin prodrug and PEG on Fe(III) − porphyrin metal-organic frameworks (PCN(Fe) MOFs). After intravenous injection, the cloak of PEG leads to long circulation, and the Fe(III)-porphyrin MOFs enables dual-model guidance with fluorescence (FL) and magnetic resonance imaging (MRI). Inside the tumor, the intracellular H 2 O 2 would be transferred into hydroxyl radicals (•OH) by iron ions released from MOFs, which could trigger the lethal ferroptosis to cancer cells. Meanwhile, oxaliplatin(II) transformed from the loaded oxaliplatin prodrug would result in the chemotherapy, as well as immunogenic cell death (ICD), and the prodrug strategy could also avoid the occurring of liver damage by the direct administration of oxaliplatin(II). It was noticed that the ferroptosis effect was enhanced by triple-assistance during the combined therapy, as followed: (1) glutathione (GSH) would be consumed in the process of oxaliplatin(II) generation from oxaliplatin prodrug; (2) the increased CD8+ T cells induced by ICD were able to produce interferon-γ (IFN-γ), which could inhibit the transport of cystine by tumor cells, and impair the activation of glutathione peroxidase 4 (GPX4); (3) the amount of H 2 O 2 could be increased by the internalized oxaliplatin and thus further promote the Fenton reaction and ferroptosis. Both in vivo and in vitro results revealed that tumor growing was significantly inhibited by PCN-Oxpt/PEG, taken together, the concomitant of oxaliplatin-mediated chemotherapy and ICD with triple-enhanced ferroptosis offer great prospect in the clinical treatment of cancer. [Display omitted] • A novel nanoplatform (PCN-Oxpt/PEG) was designed for eliminating tumor with combined therapy. • The designed nanoplatform enables dual-model imaging (FL and MRI) to guide antitumor therapy. • Immunosuppressive tumor micro-environment could be remodeled by PCN-Oxpt/PEG, which would enhance ferroptosis efficiently. [ABSTRACT FROM AUTHOR]

Intumescent fire-retardants (IFR) are widely applied in fire protection coatings of steel and wooden structures. The addition of inorganic fillers, such as layered ionic clays, can improve the fireproof performance of IFR coatings. However, a fundamental insight of how these filler materials synergistically interact with the IFR materials remains elusive. In this study, we address this fundamental knowledge gap by systematically investigating the synergy between the IFR fire protection coatings and the CaAlCO 3 -layer double hydroxide (LDH) or montmorillonite (MMT) fillers, which render substantially longer fire resistance (>20 min), reduced specific extinction area (by 54.7 and 44.1 m2 kg−2, respectively), and reduced heat release (by 0.9 and 0.7 MJ m−2, respectively). Combining experimental results and density functional theory calculations, we show for the first time that the superior fireproof performance of the MMT-IFR fire coating originates from the chemical modifications of the char layer by Si-doping. The chemical stabilisation of the silicon- and nitrogen-doped graphene (Si–N-G) structures improves the oxidation resistance of the char layer. Additionally, the formation of the Si–N-G structures with limited lattice deformation stabilised the porous morphology of the char layer, thereby promoting its heat-shielding performance. [Display omitted] [ABSTRACT FROM AUTHOR]

• A method of human key-point coordinate representation based on probability distribution perception. • Addressing issues :key-point representation quantization error, algorithm inconsistency. • This method gives a high level of precision in the experiment. Existing human pose estimation methods have some problems, such as key-point representation quantization error, algorithm inconsistency, and easy-to-introduce unequal quantization error. Addressing these issues, this paper proposes a method of human key-point coordinate representation based on probability distribution perception on a depth convolution neural network. In this method, the perceived probability of the key-point coordinate distribution is extracted by a convolutional neural network, and the cross entropy is formed with the prediction probability distribution as the loss function. Under the constraint of minimizing the Kullback-Leibler (KL) distance between the prediction and the ground truth, the convolution neural network is optimized, and the coordinates of the heat map are finally located. The experimental results show that compared with the traditional method based on a heat map, the proposed method can accelerate the reasoning speed of the model in the COCO training set, and at the same time, it can improve the map by 1.7 [ABSTRACT FROM AUTHOR]

As a type of nanomaterials with enzyme-mimetic catalytic properties, nanozymes have attracted wide concern in biological detection. H 2 O 2 was the characteristic product of diverse biological reactions, and the quantitative analysis for H 2 O 2 was an important way to detect disease biomarkers, such as acetylcholine, cholesterol, uric acid and glucose. Therefore, there is of great significance for developing a simple and sensitive nanozyme to detect H 2 O 2 and disease biomarkers by combining with corresponding enzyme. In this work, Fe-TCPP MOFs were successfully prepared by the coordination between iron ions and porphyrin ligands (TCPP). In addition, the peroxidase (POD) activity of Fe-TCPP was proved, in detail, Fe-TCPP could catalyze H 2 O 2 to produce ·OH. Herein, glucose oxidase (GOx) was chosen as the model to build cascade reaction by combining Fe-TCPP to detect glucose. The results indicated glucose could be detected by this cascade system selectively and sensitively, and the limit of detection of glucose was achieved to 0.12 μM. Furthermore, a portable hydrogel (Fe-TCPP@GEL) was further established, which encapsulated Fe-TCPP MOFs, GOx and TMB in one system. This functional hydrogel could be applied for colorimetric detection of glucose by coupling with a smartphone easily. Nanozyme of Fe-TCPP and corresponding hydrogel were constructed, and they were further developed to detect glucose. [Display omitted] • A simple and efficient nanozyme for the detection of glucose is reported. • A universal hydrogel system containing both natural enzymes and nanozymes is developed. • Fe-TCPP@GEL could carry out the quantitative analysis of glucose by coupling with a smartphone easily. [ABSTRACT FROM AUTHOR]

Swarm intelligence optimization algorithm has been proved to perform well in the field of parameter optimization. In order to further improve the performance of intelligent optimization algorithm, this paper proposes an improved and adaptive tunicate swarm algorithm (IMATSA) based on tunicate swarm algorithm (TSA). IMATSA improves TSA in the following four aspects: population diversity, local search convergence speed, jumping out of local optimal position, and balancing global and local search. Firstly, IMATSA adopts Tent map and quadratic interpolation to initialize population and enhance the diversity. Secondly, IMATSA uses Golden-Sine algorithm to accelerate the convergence of local search. Thirdly, in the process of global development, IMATSA adopts Levy flight and the improved Gauss disturbance method to adaptively improves and coordinates the ability of global development and local search. Then, this paper verifies the performance of IMATSA based on 14 benchmark functions experiment, ablation experiment, parameter optimization experiments of Support Vector Machine (SVM) and Gradient Boosting Decision Tree (GBDT), Wilcoxon signed rank test and image multi-threshold segmentation experiment with the performance metrics are convergence speed, convergence value, significance level P-value, Peak Signal-to-Noise Ratio (PSNR) and Standard Deviation (STD). Experimental results show that IMATSA performs better in three kinds of benchmark functions; each component of IMATSA has a positive effect on the performance; IMATSA performs better in parameter optimization experiments of SVM experiment and GBDT; there is significant difference between IMATSA and other algorithms by Wilcoxon signed rank test; in image segmentation, the performance is directly proportional to the number of thresholds, and compared with other algorithms, IMATSA has better comprehensive performance. [ABSTRACT FROM AUTHOR]

Aiming at the problem that the cement production process is inherently affected by uncertainty, time delay, and strong coupling among variables, this paper proposed a novel soft sensor of free calcium oxide in a cement clinker. The model utilizes a dual-parallel integrated structure with an optimized integration of one-dimensional convolutional neural networks, long and short-term memory networks, graphical neural networks, and extreme gradient boosting. The proposed model can mitigate the risks associated with overfitting while incorporating the strengths of each individual model and excels in extracting both local and global features as well as temporal and spatial characteristics from the original time series data, ensuring its stability. The experimental results demonstrate that this dual-parallel integrated model exhibits superior robustness, predictive accuracy, and generalization capabilities when compared to single models or enhancements made to other deep learning algorithms. [ABSTRACT FROM AUTHOR]

In order to improve the accuracy and performance of traditional image threshold segmentation algorithm, this paper proposes a multithreshold segmentation method named improved Harris hawk optimization (IMHHO). Firstly, IMHHO adopts Tent map and elite opposition-based learning to initialize population and enhance the diversity. Secondly, IMHHO uses quadratic interpolation to generate new individuals and enhance the local search ability. Finally, IMHHO adopts improved Gaussian disturbance method to disturb optimal solution, which coordinates the local and global search ability. Then, the performance of IMHHO is tested based on 14 benchmark functions. In image segmentation, different algorithms are tested to compare the comprehensive performance based on Otsu and Renyi entropy. Experiments show that IMHHO performs better in the three kinds of benchmark functions; the segmentation effect is directly proportional to the number of thresholds; compared with other algorithms, IMHHO has better comprehensive performance. [ABSTRACT FROM AUTHOR]

Purpose: This paper propose an algorithm for the multiple silicon steel coils multiperiod two-dimensional lengthwise cutting stock problem (m2DLCSP), so as to minimize the total cost of materials and production. Design/methodology/approach: The authors propose a sequential leftovers utilization correction (SLUC) algorithm for the m2DLCSP. The algorithm primarily considers three optimization strategies. First, it considers usable leftovers to simplify the cutting process and improve material utilization. The total quantity and types of leftovers should be limited in order to avoid leftover overstock. Second, it uses a splice method of items to improve the generated cutting plan. Third, it takes into account operational restrictions in the cutting operations. Operational restrictions include imposing maximum and minimum lengths on the cutting patterns, and the limitation of cutting knives at the slitting machines. Findings: Several sets of benchmark with real-world and randomly generated instances are provided to evaluate the algorithm. Compared with literature algorithm and current procedure applied in enterprises, the computational results indicate that proposed algorithm can effectively reduce the total cost, and the computation time is reasonable for practical use. Social implications: This algorithm can effectively reduce the total cost. Originality/value: The proposed method can effectively applied to solve the m2DLCSP and improve the economic efficiency of enterprises. [ABSTRACT FROM AUTHOR]

Robust antifogging films have significant potential for a wide range of applications on the surfaces of transparent materials. Nevertheless, currently either their preparation methods are complex or their mechanical properties such as hardness, wear, scrub and water resistance are yet to be improved before they can be applied in practical applications. In this work, we have developed a facile room temperature approach to fabricating free-standing films of excellent antifogging properties and mechanical robustness. Glutaraldehyde (GA) was used to cross-link polyvinyl alcohol (PVA) and ultraviolet (UV) light was applied to initiate polymerization of poly (ethylene glycol) diacrylate (PEGDA), leading to robust interpenetrating networks (IPN). The films also had excellent mechanical properties with pencil hardness up to 8H, Taber wear-resistance up to 10,000 cycles, and sponge scrub resistance up to 300 cycles. The tensile strength and tearing strength of films reached as high as 100 MPa and 700 kN/m, respectively, much higher than those of free-standing films reported so far. This approach may hold great potential for broad application on various substrates, particularly those with low glass transition temperatures (e.g., transparent plastic films). It may expand the possibilities for future applications of free-standing antifogging films for screens, optical lenses and so on. [Display omitted] • A facile approach to fabricating free-standing films of excellent antifogging properties and mechanical robustness. • Pencil hardness up to 8H, Taber wear-resistance up to 10,000 cycles, and sponge scrub resistance up to 300 cycles. • The tensile strength and tearing strength of films reached as high as 100 MPa and 700 kN/m, respectively. • The current work is the first report of freestanding interpenetrating films with excellent mechanical robustness. [ABSTRACT FROM AUTHOR]

Hybrid rice, as one of the most successful crops exploiting heterosis, has greatly contributed to global food security. Due to its high‐yield potential, approximately half of the rice‐growing area in China is planted with hybrid rice varieties. However, the extreme vulnerability of hybrid rice to various diseases and poor grain quality pose great challenges to rice breeders. Here, we report the development of five new restorer lines pyramiding the broad‐spectrum blast resistance gene Pigm and low/intermediate amylose content‐associated gene Wxb by marker‐assisted and phenotypic selection. All these new restorer lines showed enhanced blast resistance in the disease nursery compared with the original restorer lines and had low‐to‐intermediate apparent amylose contents, ranging from 11.3% to 14.2%. Genetic background analysis based on next‐generation sequencing indicated that the proportion of Gumei 4 (donor of Pigm) genome in the five new restorer lines ranged from 9.89% to 21.69%. Eight of their derived hybrid combinations, which exhibited better grain quality and higher levels of blast resistance, have been certificated for commercial release in different ecological regions of China. Among them, Jing‐Liang‐You 3189, Yue‐Liang‐You 3189, Jing‐Liang‐You 1074 and Long‐Liang‐You 3188 meet the national standards for superior‐quality rice in China. These results confirmed the success of developing elite restorer lines through marker‐assisted and phenotypic selection, and these new restorer lines have great potential in developing more elite hybrid rice combinations. [ABSTRACT FROM AUTHOR]

• A smartphone-assisted fluorescence-colorimetric immunosensing platform was proposed. • NH 2 -UiO-66@PtNPs was exploited to construct a fluorescence-colorimetric signal probe. • The multi-mode immunosensing microarray showed satisfactory results of AMD detection. • The efficient, visual and portable method showed great potential in food analysis. Amantadine (AMD) is an antiviral drug used to treat animal-based infectious diseases such as avian influenza. However, its illegal use in animal-derived food industries endangers human health. Therefore, an efficient, portable, and visual sensor to detect AMD in food is crucial for ensuring food safety. A multifunctional nanocomposite NH 2 -UiO-66@PtNPs was exploited to design a smartphone-assisted fluorescence-colorimetric immunosensing microarray for multidimensional detection of AMD in animal-derived foods. Platinum nanoparticles (NPs) were immobilized on a Zr-based metal–organic framework (NH 2 -UiO-66). Pt NPs exhibited peroxidase-like activity, whereas NH 2 -UiO-66 stabilized Pt NPs and improved the colorimetric signal of the sensor. Moreover, the fluorescence ligand NH 2 -BDC in NH 2 -UiO-66 was released via alkaline hydrolysis, amplifying the fluorescence signal and improving detection sensitivity. The smartphone-assisted color recognition system accurately identified the color changes of the microarray. The immunocompetitive reaction of AMD and the antibody (Ab) in the microarray NH 2 -UiO-66@PtNPs@Ab 2 allowed the quantitative and visual detection of AMD in a wide concentration range (0.1–1000 ng/mL) with high sensitivity [limit of detection = 0.0022 ng/mL (fluorescence), 0.069 ng/mL (colorimetric), and 0.68 ng/mL (smartphone)]. This detection strategy was verified in AMD-spiked food samples with satisfactory recoveries (82.0–103.0%) and stability (RSD: ≤7.1%, n = 3), showing its great potential for visual screening and portable detection of other food contaminants. [ABSTRACT FROM AUTHOR]

The therapeutic application of chemodynamic therapy (CDT) is severely limited by the insufficient intracellular H 2 O 2 and acidity in tumor. Herein, an acid-sensitive nanoplatform (ZIF67-ICG/TAM@GOx) to promote H 2 O 2 and acidity enhancement through intracellular cyclic amplification for enhanced CDT is rationally designed. Notably, the acidic conditions of the tumor microenvironment (TME) can turn on the switch of the nanoplatform, setting free the loaded tamoxifen (TAM) and indocyanine green (ICG). The mitochondrial respiration inhibitor TAM and the superoxide dismutase-mimicking ZIF67 synergistically lead to an increase in the content of O 2 and H 2 O 2 , accelerating the depletion of β- d -glucose by GOx to generate gluconate and H 2 O 2. The gluconate in turn boosts the acidity to facilitate the collapse of nanoparticles, further significantly promoting the accumulation of intracellular H 2 O 2 through a positive circulation. Consequently, the amplificated endogenous H 2 O 2 is catalyzed by Co2+ to liberate hydroxyl radicals (•OH). Besides, ICG-mediated photothermal therapy (PTT) and GOx-induced starvation therapy along with CDT realize the synergistic cancer treatment. Importantly, in vitro and in vivo experiments verified that the nanoplatform performed superior specificity and excellent therapeutic responses. The smart nanoplatform overcomes H 2 O 2 and acidity deficiency simultaneously for intensive CDT, providing new prospects for the development of biocompatible cancer synergistic therapy strategies. In the tumor microenvironment, the released TAM, GOx and ZIF67 synergistically lead to a positive circulation for self-amplified CDT, cooperating with PTT and starvation to realize the synergistic cancer treatment. [Display omitted] • An acidic sensitive nanoplatform (ZIF67-ICG/TAM@GOx) is constructed for specific tumor therapy. • The combination of TAM, ZIF67 and GOx enabled positive circulation to accumulate H 2 O 2 and acidity for boosting CDT. • The disruption of H 2 O 2 homeostasis made the approach of "expanding source and cost-saving" for the increase of H 2 O 2. • The self-amplified CDT along with PTT, GOx-induced starvation realized a novel synergistic cancer therapy strategy. [ABSTRACT FROM AUTHOR]

Summary: Rice blast and bacterial blight represent two of major diseases having devastating impact on the yield of rice in most rice‐growing countries. Developments of resistant cultivars are the most economic and effective strategy to control these diseases. Here, we used CRISPR/Cas9‐mediated gene editing to rapidly install mutations in three known broad‐spectrum blast‐resistant genes, Bsr‐d1, Pi21 and ERF922, in an indica thermosensitive genic male sterile (TGMS) rice line Longke638S (LK638S). We obtained transgene‐free homozygous single or triple mutants in T1 generations. While all single and triple mutants showed increased resistance to rice blast compared with wild type, the erf922 mutants displayed the strongest blast resistance similar with triple mutants. Surprisingly, we found that Pi21 or ERF922 single mutants conferred enhanced resistance to most of tested bacterial blight. Both resistances in mutants were attribute to the up‐regulation of SA‐ and JA‐pathway associated genes. Moreover, phenotypic analysis of these single mutants in paddy fields revealed that there were no trade‐offs between resistances and main agricultural traits. Together, our study provides a rapid and effective way to generate rice varieties with resistance to both rice blast and bacterial blight. [ABSTRACT FROM AUTHOR]

Background: Chemodynamic therapy (CDT), employing Fenton or Fenton-like catalysts to convert hydrogen peroxide (H2O2) into toxic hydroxyl radicals (·OH) to kill cancer cells, holds great promise in tumor therapy due to its high selectivity. However, the therapeutic effect is significantly limited by insufficient intracellular H2O2 level in tumor cells. Fortunately, β-Lapachone (Lapa) that can exert H2O2-supplementing functionality under the catalysis of nicotinamide adenine dinucleotide (phosphate) NAD(P)H: quinone oxidoreductase-1 (NQO1) enzyme offers a new idea to solve this problem. However, extensive DNA damage caused by high levels of reactive oxygen species can trigger the "hyperactivation" of poly(ADP-ribose) polymerase (PARP), which results in the severe interruption of H2O2 supply and further the reduced efficacy of CDT. Herein, we report a self-amplified nanocatalytic system (ZIF67/Ola/Lapa) to co-deliver the PARP inhibitor Olaparib (Ola) and NQO1-bioactivatable drug Lapa for sustainable H2O2 production and augmented CDT ("1 + 1 + 1 > 3"). Results: The effective inhibition of PARP by Ola can synergize Lapa to enhance H2O2 formation due to the continuous NQO1 redox cycling. In turn, the high levels of H2O2 further react with Co2+ to produce the highly toxic ·OH by Fenton-like reaction, dramatically improving CDT. Both in vitro and in vivo studies demonstrate the excellent antitumor activity of ZIF67/Ola/Lapa in NQO1 overexpressed MDA-MB-231 tumor cells. Importantly, the nanocomposite presents minimal systemic toxicity in normal tissues due to the low NQO1 expression. Conclusions: This design of nanocatalytic system offers a new paradigm for combing PARP inhibitor, NQO1-bioactivatable drug and Fenton-reagents to obtain sustained H2O2 generation for tumor-specific self-amplified CDT. [ABSTRACT FROM AUTHOR]

CO 2 capture and utilisation (CCU) is a promising strategy to effectively mitigate the adverse greenhouse effects caused by CO 2 emissions at an industrial scale. Through a process intensification strategy known as integrated CO 2 capture and utilisation (ICCU), CO 2 capture and catalytic CO 2 conversion can be achieved in a single process with the use of dual function materials (DFMs), which are both CO 2 sorbents and CO 2 conversion catalysts. Given the significantly different operating conditions of ICCU from conventional catalytic CO 2 hydrogenation, the catalytic mechanism of DFMs, especially during CO 2 hydrogenation, needs to be thoroughly investigated. In this study, the relationship between the nature of the Ni/carbonate interfaces and the performance of Ni-based DFMs over ICCU cycles is systematically investigated. A series of Ni/alkaline earth carbonate DFMs were synthesised with varying Ca:Mg ratios to simulate different metal-carbonate model interfaces. At 400 °C, CH 4 formation with nearly 100% CH 4 selectivity was achieved on Ni/CaCO 3 over 15 ICCU cycles. In general, Ni/CaCO 3 interfaces correspond to higher CO 2 conversion and higher CH 4 selectivity than Ni/MgCO 3 interfaces. Such trend may be attributed to the higher surface basicity of CaO and the higher thermal stability of CaCO 3. As a consequence, the hydrogenation of the Ni/CaCO 3 interface proceed via the formate pathway, in which carbonates are consecutively converted to surface formates, methoxyl, methyl species and eventually desorb as methane. This reaction model is applicable to the hydrogenation of both surface carbonate and bulk carbonates, although the former proceeds with much faster kinetics. On the weakly alkaline Ni/MgCO 3 interface, MgCO 3 preferentially decomposes to form gaseous CO 2 , which is subsequently hydrogenated via the reverse-water-gas-shift pathway, with CO as the key reaction intermediate. Interestingly, in situ infrared spectroscopy shows similar surface significant species during the direct hydrogenation of DFMs and during the conventional catalytic hydrogenation of molecular CO 2 , suggesting that the catalytic mechanisms during the two operating regimes are highly correlated. [Display omitted] • Novel Ni/carbonate dual function materials for CO 2 capture and hydrogenation. • Different hydrogenation behaviour and pathway on Ni/CaCO 3 and Ni/MgCO 3 interfaces. • Two reaction regimes proposed during hydrogenation of Ni/CaCO 3. • Suitable basic sites and metal-support interaction favours the hydrogenation. • Correlation between ICCU cycles and those of conventional CO 2 hydrogenation. [ABSTRACT FROM AUTHOR]

Amyloid-β oligomers (AβO) have been identified as core biomarkers for early diagnosis of Alzheimer's disease (AD). For the first time, a "turn-on" unlabeled colorimetric aptasensor based on aptamer-polythymine (polyT)-polyadenine (polyA)-gold nanoparticles (pA-pT-apt@AuNPs) was developed for highly sensitive and specific detection of amyloid-β 1-40 oligomers (Aβ40-O). In this system, polyA sequence could preferentially anchor onto AuNPs surface as well as reduce the non-specific adsorption, and the aptamer could form upright conformation for the specific recognition of Aβ40-O. The aggregation of pA-pT-apt@AuNPs was induced by MgCl 2. However, the addition of Aβ40-O enabled the aptamer fold adaptively upon recognition and aptamer-Aβ40-O complex formed surrounding AuNPs, effectively stabilizing pA-pT-apt@AuNPs against salt-induced aggregation, therefore the color of pA-pT-apt@AuNPs solution still retained red. Based on this principle, the proposed aptasensor exhibited high sensitivity with the limit of detection of 3.03 nM and a linear detectable range from 10.00 nM to 100.0 nM. The superb sensitivity was achieved via the optimization of the length of polyA and polyT spacer. This pA-pT-apt@AuNPs based colorimetric aptasensor provides a rapid, cost-effective, highly sensitive detection method for Aβ40-O, which is valuable for the early diagnosis of AD. [Display omitted] • A pA-pT-apt@AuNPs-based colorimetric aptasensor was developed for Aβ40-O detection. • The proposed aptasensor avoided the non-specific adsorption on AuNPs surface. • The upright conformation of aptamers benefited the specific recognition of Aβ40-O. • Superb sensitivity was achieved with the limit of detection of 3.03 nM. • The aptasensor is simple, rapid (response time of 1.5 h) and cost-effective. [ABSTRACT FROM AUTHOR]