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The secondary metabolite Monacolin K (MK), derived from Monascus , exhibits potential lipid-lowering and anti-tumor effects. In this study, a mutant strain M. purpureus M400–6 was generated through X-ray treatment, resulting in an average MK production of 181.97 mg/L (a 54.20% increase compared to the parent strain M. purpureus M1) over five successive generations. Furthermore, optimization of medium compositions using response surface methodology led to a further enhancement in MK production by the mutant strain to 266.63 mg/L. Moreover, based on the outcomes of single-factor experiments, the addition of L-citrulline demonstrated a significantly higher level of enhancement in MK production. Therefore, a comparative transcriptome analysis was conducted to unveil the impact of L-citrulline on MK biosynthesis in M. purpureus. The data revealed a significant upregulation of glycolysis pathways, while oxidative phosphorylation including the TCA cycle and the electron transport chain, exhibited significant downregulation. Furthermore, the metabolisms of serine, glycine, threonine, alanine, aspartic acid and glutamate were found to be significantly disturbed. Additionally, the expressions of MPs and MK biosynthetic gene cluster showed a significant downregulation and upregulation respectively. Overall, these findings provide insights into enhancing MK production in submerged fermentation and elucidate the impact of L-citrulline on secondary metabolism. [Display omitted] • M. purpureus M400–6 with high MK production was generated through X-ray treatment. • L-citrulline can significantly enhance the MK production. • Response surface methodology was performed to further increase the MK production. • Transcriptome analysis reveals the impact of L-citrulline on MK biosynthesis. [ABSTRACT FROM AUTHOR]

Checkpoint blockade immunotherapies, such as anti-programmed death-1 (PD-1), unleash anti-tumor CD8+ T cell responses but may also induce immunosuppressive regulatory T cells (Tregs). In this issue of Cancer Cell , Geels et al. uncover that anti-PD-1 leads to Treg expansion via interleukin-2 (IL-2)-producing CD8+ T cells. Combining anti-PD-1 with anti-ICOSL interrupts this crosstalk, thereby enhancing tumor control. [ABSTRACT FROM AUTHOR]

Impoverished housing environments are thought to prevent motivated behaviors and may result in frustration. We first aimed to investigate an effective physical enrichment protocol to improve dairy calves' welfare and initially determine their use of various items. Thereafter, we aimed to determine dairy calves' preference for and ways of interacting with various items, and whether this was influenced by social housing. In experiment 1, at 21 ± 3 d of age, 27 individually housed calves were assigned alternately into 1 of 3 treatments: control (CON, no additional items), rotating enrichment (RE, one item each week on a rotating presentation schedule), and fixed enrichment (FE, 4 types of item at the same time). The items were stationary brushes, ropes, springs, nets filled with strawberry-scented hay, and dry teats. Calves' behaviors were observed from 4 to 7 wk of age using focal observations after feeding, followed by instantaneous scan sampling. Their behavioral responses to a novel object were assessed at 43 ± 1 d of age. In the instantaneous scans, calves in FE tended to interact with items more often than calves in RE. Calves in RE and FE expressed less non-nutritive oral behavior than those in CON. Latency to touch novel objects did not differ significantly between treatments. Calves in RE and FE interacted with nets filled with strawberry-scented hay more often than with other items in instantaneous scans. In experiment 2, 24 calves were assigned alternately into 8 individual pens and 8 pair pens at 2 d of age. All pens were provided with a stationary brush, plastic chain, net filled with strawberry-scented hay, and dry teat. Calves' behaviors were collected from 2 to 5 wk of age using instantaneous scan sampling. Calves interacted with nets filled with strawberry-scented hay more often than with other items. Pair housing reduced calves' interactions with items compared with individual housing. Individually and pair-housed calves' frequencies of overall interaction with items varied with time of day, with frequencies increasing to peaks at 0700, 1500, and 1900 h. Calves showed scratching, sniffing, sucking, butting, and hay intake toward nets filled with strawberry-scented hay and showed the first 3 behaviors toward stationary brushes, plastic chains, and dry teats. In conclusion, dairy calves are likely to prefer a fixed multi-item enrichment presentation schedule over a rotating schedule with a single enrichment item presented at one time. For the fixed multi-item enrichment presentation schedule, items were used more in individual pens than in pair pens, and a diurnal pattern was observed for use of the items. Nets filled with scented hay might be the most multifunctional and attractive item of the items tested. [ABSTRACT FROM AUTHOR]

The overheated photovoltaic (PV) panels during the late experimental period and severe temperature stratification of the phase change materials (PCMs) are critical factors influencing the photovoltaic/thermal-PCM system efficiency. In this work, an outdoor experimental switchable PV/T-PCM system coupled with copper fins and flexible thermal regulation strategies was investigated to maximize the energy conversion efficiency. The effect of different fin heights on the efficiency of the PV-PCM system without water flow was firstly investigated. Second, five cases under various thermal regulation strategies utilizing water flow were comprehensively investigated by the energy and exergy analysis. For the full-time regulation, both thermal energy and exergy efficiencies (η th and E x _th) increased when the water flow rate grew from 0.11 L/min (Case 2) to 2.92 L/min (Case 5). Case 5 presented the highest η th and E x_th of 86.49% and 2.06%, respectively, and increments of 4.40% and 4.35% in the electrical energy and exergy efficiencies, respectively, with the addition of PCMs. At the same water flow rate of 0.11 L/min, the electrical energy and exergy efficiencies in Case 6 increased by 11.46% and 11.35%, compared with Case 2, indicating that the intermittent regulation is more beneficial for improving the photoelectric efficiency of the PV/T-PCM system. [ABSTRACT FROM AUTHOR]

An intermittent heat charging and discharging strategy is proposed for on-demand thermal utilization in a three-layer latent heat storage unit filled with nanoparticle-enhanced phase change materials. To optimize the utilization ratio of phase change materials, and the stored and released thermal exergy amounts, a multi-objective prediction and optimization methodology combining orthogonal experimental design, range and variance analyses, multi-nonlinear regression models, and non-dominated sorting genetic algorithm-II is introduced while considering the variables of nanoparticle concentration, heat transfer fluid velocity, and intermittent time interval. Results show that the time interval presents the most significant influence. Multi-nonlinear regression models for the above three variables are established with determination factors of 0.9871, 0.9625, and 0.9253, respectively. The ultimate optimal results are 0.8, 57094.03 J, and 43066.73 J, achieved at the three variables of 44.37 min, 0.38 m s−1 and 8.99%, respectively. The maximum verification error of 5.11% indicates the reliability of this methodology. The methodology aims to enhance the overall performance of the three-layer latent heat storage system by mitigating the constraints associated with single-performance optimization. [ABSTRACT FROM AUTHOR]

State estimation has been dominated by traditional algorithms based on the Bayesian framework, and Bayesian filtering has proven to be an effective component with a wide range of applications in various fields. On the other hand, Bayesian framework is inherently limited by the precise model prior information, while struggling to cope with the challenges such as Markov assumptions that do not adequately describe the actual motion modes, and model transition decision delay in the multiple model algorithm. To alleviate this, we redefine the state filtering problem from a data-driven perspective as a non-probabilistic mapping problem from measurement sequence to target state, replacing the iteration of model derivation with supervised learning regression. Specifically, we introduce a data-driven tracking filter architecture (DTF) that includes spatio-temporal feature processing and decoupling of target trend and sensor uncertainty features. Its fast implementation based on LightGBM is further given, considering the interpretability of the model. Simulation results show that the proposed method approaches to the theoretical optimal solution of the Kalman filter in an ideal linear Gaussian scenario. In challenging maneuvering target tracking scenarios, the proposed model is superior in performance compared with other existing methods. Finally, we validate the effectiveness of the method in radar tracking and real-world video scenes. • The proposal of a data-driven framework for tracking state filtering. • The design of spatio-temporal feature extraction and feature decoupling modules. • The avoidance of model mismatch and Markov restriction in Bayesian methods. • A LightGBM implementation for the DTF framework is further given. [ABSTRACT FROM AUTHOR]

• The chiral afterglow is achieved by self-confining isolated chiral chromophores. • Advanced displays and encryptions are made using the chiral afterglow materials. • The work provides a facile way for developing chiral afterglow materials. Circularly polarized organic afterglow (CPOA) materials showing ultralong lifetime and chiral emission features have received widespread attention. However, generating CPOA emission remains a formidable challenge primarily due to the synergetic suppression non-radiative decay and chirality incorporation of triplet excitons. Herein, we propose a strategy to enable CPOA by covalently self-confining isolated chiral chromophores into the polymer matrix with rigidity and strong intermolecular interactions to effectively inhibit the non-radiative decay of chiral triplet excitons. The CPOA polymers exhibiting dual fluorescence and afterglow emission with a maximum luminescence dissymmetry factor of 1.06 × 10-2 and ultralong lifetime of up to 1.08 s have been achieved by crosslinking binaphthol derivatives into rigid self-host of polyacrylamide. Leveraging the superiority of afterglow and chiral attributes of CPOA polymers, advanced display and encryption demonstrations have been fabricated. This work underscores the significance of confining isolated chiral chromophores for the development of circularly polarized luminescent materials. [ABSTRACT FROM AUTHOR]

To effectively mitigate the spread of epidemics, disinfection robots are increasingly utilized for automatic disinfection. However, tradition robots and disinfection methods cannot ensure controllable disinfection coverage, potentially causing damage to sensitive surfaces and humans. In this paper, we introduce a novel Ultraviolet-C disinfection robot system built on the mobile manipulator structure. We propose a new multi-side disinfection end-effector to broaden the disinfection scope and improve adaptability to complex surfaces. In order to coordinate the movements of the base and manipulator, we propose a joint base placement and multi-configuration disinfected path planning(JPMDP) method. The algorithm generates the minimal number of mobile base placements and forms the disinfection path with the shortest working time. We have conducted extensive experiments in both simulated and real environments. Experimental results demonstrate that our system offers more comprehensive coverage in less time compared to traditional strategies, making it more efficient and adaptable to complex environments. • Proposing a novel UV-C disinfection robot for epidemic control. • Introducing a multi-side disinfection end-effector for complex surface adaptability. • Presenting a JPMDP method for optimal coordination of base and manipulator movements. • Validating the system's efficiency through extensive simulations and real tests. [ABSTRACT FROM AUTHOR]

The reactive oxygen species (ROS) generated by photoinduced molecular oxygen (O 2) activation has attracted great attention in environmental remediation and pollution control. Herein, we establish a facile sulfur doping strategy that promotes the activation of molecular oxygen over BiOCl for rapid and continuous degradation of organic pollutants. In this work, we demonstrate that the significantly enhanced built-in electric field (BIEF) induced by the heterogeneous introduction of S atoms not only multiplies the electron concentration in the BiOCl matrix, but also accelerates the rapid separation/transfer of charge carriers and inhibits recombination. Driven by this, the exciton behavior in the BOC undergoes a transformation. The electrons generated through exciton dissociation activate the adsorbed O 2 on the surface into superoxide radicals (•O 2 –). Benefited from the superior O 2 activation efficiency, the degradation rate constant of ciprofloxacin (CIP) the fabricated S-doped BiOCl increased by 8.8 times, under visible light. This work proposes a strategy to promote the photocatalytic O 2 activation via tuning BIEF and manipulating excitonic effects, which affords new perspective for understanding the reaction mechanisms related to charge transfer in photocatalytic systems. [Display omitted] • S doping dramatically alter morphology and physicochemical characteristics of BiOCl. • Enhanced built-in electric field induced by S doping promotes separation and migration of charge carriers in bulk BiOCl. • Remarkable efficiency of O 2 activation is achieved over S-doped BiOCl with abundant O vacancies. • Boosted dissociation of excitons into charge carriers transforms O 2 activation behavior. • S-doped BiOCl exhibits remarkable performance toward photocatalytic degradation of CIP and various antibiotics in water. [ABSTRACT FROM AUTHOR]

Efficiently monitoring the condition of civil infrastructure requires automating the structural condition assessment in visual inspection. This paper proposes an Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for automatic structural condition assessment in visual bridge inspection. AECIF-Net can simultaneously parse structural elements and segment surface defects on the elements in inspection images. It integrates two task-specific relearning subnets to extract task-specific features from an overall feature embedding. A co-interactive feature fusion module further captures the spatial correlation and facilitates information sharing between tasks. Experimental results demonstrate that the proposed AECIF-Net outperforms the current state-of-the-art approaches, achieving promising performance with 92.11% mIoU for element segmentation and 87.16% mIoU for corrosion segmentation on the test set of the new benchmark dataset Steel Bridge Condition Inspection Visual (SBCIV). An ablation study verifies the merits of the designs for AECIF-Net, and a case study demonstrates its capability to automate structural condition assessment. • A deep learning model AECIF-Net is developed for automating the visual assessment of structural conditions. • SBCIV, an image dataset with annotations of structural elements and their surface defects, is created. • AECIF-Net outperforms current methods in segmenting structural elements and surface defects. • Merits of the designs for the AECIF-Net are verified by comprehensive experiments. [ABSTRACT FROM AUTHOR]

Camellia sinensis cv. 'Yanling Huayecha' (YHC) is an albino-green chimaeric tea mutant with stable genetic traits. Here, we analysed the cell ultrastructure, photosynthetic pigments, amino acids, and transcriptomes of the albino, mosaic, and green zones of YHC. Well-organized thylakoids were found in chloroplasts in mesophyll cells of the green zone but not the albino zone. The albino zone of the leaves contained almost no photosynthetic pigment. However, the levels of total amino acids and theanine were higher in the albino zone than in the mosaic and green zones. A transcriptomic analysis showed that carbon metabolism, nitrogen metabolism and amino acid biosynthesis showed differences among the different zones. Metabolite and transcriptomic analyses revealed that (1) downregulation of CsPPOX1 and damage to thylakoids in the albino zone may block chlorophyll synthesis; (2) downregulation of CsLHCB6 , CsFdC2 and CsSCY1 influences chloroplast biogenesis and thylakoid membrane formation, which may contribute to the appearance of variegated tea leaves; and (3) tea plant variegation disrupts the balance between carbon and nitrogen metabolism and promotes the accumulation of amino acids, and upregulation of CsTSⅠ and CsAlaDC may enhance L-theanine synthesis. In summary, our study provides a theoretical basis and valuable insights for elucidating the molecular mechanisms and promoting the economic utilization of variegation in tea. • CsPPOX1 , CsLHCB6 , CsFdC2 and CsSCY1 downregulation and thylakoid damage in albino zone may cause variegated tea leaves. • Tea plant variegation disrupts the balance between carbon and nitrogen metabolism and promotes amino acids accumulation. • Upregulation of CsTSⅠ and CsAlaDC may enhance theanine synthesis. [ABSTRACT FROM AUTHOR]

[Display omitted] • Multiple components can be recovered by the novel pneumatic separation at one time. • The recovery of Cu in current collectors is 92.08%, and that of Al is 96.68%. • Suspension velocity of flaky powder can be given by the equivalent diameter method. In recycling of the spent lithium iron phosphorus (LiFePO 4) batteries, the mechanical pretreatment is critical for relieving the pressure of the subsequent recycling process and reducing the cost of whole recycling process. In order to achieve the separation and concentration of the cathode materials, anode materials, copper and aluminum foils from spent LiFePO 4 batteries, a novel pneumatic separation combined with froth flotation is designed in this research. A pulsated pneumatic separation with variable-diameter structure separator is used, through which 92.08% of copper and 96.68% of aluminum were recovered. In the pneumatic separation the movement of the copper and aluminum flakes can be described by an improved equivalent diameter method, based on the force analysis of the flaky particles. The froth flotation is utilized to recover the cathode materials and anode materials with the recovery of 92.86% and 83.21%, respectively. A mass balance and a technological route of the recycling process are provided finally. The present work provides a green and high-efficiency recycling process in which copper, aluminum, anode and cathode materials in lithium-ion batteries can be recovered respectively only by physical methods. [ABSTRACT FROM AUTHOR]

The Non-synchronous Measurements (NSM) was proposed to enhance the accuracy of reconstruction and reduce the measurement cost. However, the investigated object of conventional NSM are only sparsely distributed sound sources, and little emphasis placed on the reconstructed accuracy of the spatially extended sound source. In this article, the traditional NSM is further investigated in the spatially extended sound source, and the sound pressure information is reconstructed by Bayesian compressive sensing algorithm (BCS). Firstly, the spatially extended sound source is scanned by moving the rectangular microphone array, and the measurement effects of the array with large aperture and high density are approximately obtained by using NSM technique. Then, BCS is applied to reconstruct sound field by the NSM of sound pressure. The results of numerical simulations provide evidence for the feasibility of applying the proposed investigation to the spatially extended sound source. NSM has advantages in reconstruction accuracy compared with the single measurement. At the same time, the reconstructed sound pressure under NSM can replace the simultaneous measurement (SM) results of multi-array, which avoids the limitation of using reference microphone in increasing the number of channels and spatial layout. The experimental results of the driven steel plate provide additional evidence to support the effectiveness and feasibility of the investigation. • The application problem of the NSM in the spatially extended sound source like the driven steel plate is investigated. • The NSM increases the number of microphones and avoids the limitation of using reference microphone in increasing the number of channels and spatial layout. • The traditional NSM is further investigated in the spatially extended sound source, and the sound pressure is reconstructed by BCS. [ABSTRACT FROM AUTHOR]

The Single Event Transient (SET) phenomenon, which occurs in combinational circuits, has emerged as the primary source of soft errors in Integrated Circuits (IC) in advanced deep-submicron technologies. Therefore, it is imperative to investigate the underlying mechanisms of SET effects in order to gain valuable insights for mitigating SET in combinational circuits. In advanced technologies, specifically those at the 28-nm and below, tap cells are commonly utilized as the well and substrate contact to achieve higher device density. This article presents a comprehensive study on the impact of tap cells on SET sensitivity for the first time. Furthermore, a comparison is made between the SET sensitivity of conventional and tap cell-based well and substrate contact. [ABSTRACT FROM AUTHOR]

Tea plants are important economic perennial crops that can be negatively impacted by drought stress (DS). However, their survival strategies in long-term DS conditions and the accumulation and influence of metabolites and mineral elements (MEs) in their organs, when facing hydraulic vulnerability segmentation, require further investigation. The MEs and metabolites in the leaf, stem, and root after long-term DS (20 d) were examined here, using inductively coupled plasma optical emission spectrometry (ICP-OES) and liquid chromatograph-mass spectrometry (LC-MS). The accumulation patterns of 116 differentially accumulated metabolites (DAMs) and nine MEs were considerably affected in all organs. The concentration of all MEs varied significantly in at least one organ, while the K and Ca levels were markedly altered in all three. Most DAM levels increased in the stem but decreased in the root and leaf, implying that vulnerability segmentation may occur with long-term DS. The typical nitrogen- and carbon-compound levels similarly increased in the stem and decreased in the leaf and root, as the plant might respond to long-term DS by stabilizing respiration, promoting nitrogen recycling, and free radical scavenging. Correlation analysis showed several possible DAM-ME interactions and an association between Mn and flavonoids. Thus, survival strategies under long-term DS included sacrificing distal/vulnerable organs and accumulating function-specialized metabolites and MEs to mitigate drought-induced oxidative damage. This is the first study that reports substance fluctuations after long-term DS in different organs of plants, and highlights the need to use whole plants to fully comprehend stress response strategies. Image 1 • Tea plants adopt a drought survival strategy for long-term drought stress. • They sacrifice vulnerable organs to improve resistance in the stem. • They accumulate substances in the stem to facilitate rapid recovery. • Specialized metabolite and mineral element accumulation mitigates oxidative damage. [ABSTRACT FROM AUTHOR]

• A PV/T system combined with PCM was proposed and studied. • The overall efficiency of the PV/T-PCM system was investigated in detail. • The thermal regulation strategy was proposed to improve system performance. We present a comprehensive analysis of a solar photovoltaic/thermal system combined with phase change material, i.e., a PV/T-PCM system. A fatty acid was chosen as the PCM with a phase transition temperature of 37 °C. A solar collector filled with PCM, which contained rectangular metal fins to enhance heat transfer, was used to cool the PV. Four-day experimental measurements were carried out under real outdoor climatic conditions in Shanghai, China. During the experiment, we examined two different intermittent thermal regulation strategies using a water circulation loop in the PV/T-PCM system to improve the overall solar energy utilization efficiency, and detailed comparisons were performed. The results indicated that the use of PCM in the solar collector could significantly mitigate the temperature fluctuation of the PV panel and improve the photoelectric efficiency. Due to the low thermal conductivity of fatty acid, the temperature stratification in the solar collector was still significant even with the addition of metal copper fins. The thermal regulation strategy of setting the temperature at 45 °C gave better performance and the overall efficiencies of Case 1 and Case 3 could reach approximately 91%. The overall efficiency of Case 3 and Case 4 was approximately 85% with the thermal regulation strategy of setting the temperature at 50 °C. More heat could be removed from the PCM in the solar collector using the relatively low temperature setting of the thermal regulation strategy. It was concluded that the overall energy utilization ratio of the PV/T-PCM system can be improved through a reasonable thermal regulation strategy; however, further work on the economics analysis of the system is still needed. [ABSTRACT FROM AUTHOR]

Proton irradiation induced Nb redistribution in Zr-xNb alloys (x = 0.4, 0.5, 1.0 wt%) has been investigated using scanning transmission electron microscopy/energy dispersive X-ray spectroscopy (STEM/EDS). Zr-xNb alloys are mainly composed of Zr matrix, native Zr–Nb–Fe phases, and β-Nb precipitates. After 2 MeV proton irradiation at 350 °C, a decrease of Nb content in native precipitates, as well as irradiation-induced precipitation of Nb-rich platelets (135 ± 69 nm long and 27 ± 12 nm wide) were found. Nb-rich platelets and Zr matrix form the Burgers orientation relationship, [ 1 1 ¯ 1 ]//[ 2 1 ¯ 1 ¯ 0 ] and (011)//(0002). The platelets were found to be mostly coherent with the matrix with a few dislocations near the ends of the precipitate. The coherent strain field has been measured in the matrix and platelets by the 4D-STEM technique. The growth of Nb-rich platelets is mainly driven by coherency and dislocation-induced strain fields. Irradiation may both enhance the diffusion and induce segregation of interstitial Nb to the ends of the irradiation induced platelets, further facilitating their growth. Image 1 [ABSTRACT FROM AUTHOR]

Antibiotic residues in food should be concerned seriously because they constitute potential threats to human health. The rapid and accurate determination of antibiotic residues in food must be a tough challenge due to the large number of interfering substances in food matrices. However, the traditional sample preparation methods are not only time-consuming and laborious, but also require many toxic organic solvents. This is why new preparation methods need to be developed to meet new analysis needs. A quick, easy, cheap, effective, rugged, and safe preparation technique, known as QuEChERS, was introduced in 2003. As its name implies, this technique, combined with LC or GC tandem mass spectrometry, can effectively separate multiple complex compounds in a short time. Initially, QuEChERS was widely used to analyze pesticide residues in food. Nevertheless, more and more researchers began to apply the QuEChERS technique to extract other compounds with various complex matrices in recent years, and the advantages of high efficiency and good results has once again proved the potential of this technique. In this paper, the development and application of QuEChERS for antibiotic residues in food were reviewed, and the research progress on modification and optimization of the QuEChERS methodology in sample treatment, extraction and purification is summarized in detail. Image 1 • QuEChERS (quick, easy, cheap, effective, rugged, and safe) method for antibiotics analysis. • QuEChERS is an excellent preparation approach and frequently applied in foods. • QuEChERS has obvious advantages over conventional pretreatment method. • Comprehensive modifications of QuEChERS improved effective and recoveries. • QuEChERS is a promising analysis method for a wide diversity of analytes and matrices. [ABSTRACT FROM AUTHOR]

[Display omitted] • A series of peptide-drug conjugates (PDCs) were synthesized by integrating camptothecin (CPT) with the cationic anticancer peptide (CAP) of KM8-Aib to ameliorate the solubility and specificity of CPT. • Kb-CC07 possessed the superior anti-malignant activity over other PDCs, and displayed favorable metabolic stability as well as excellent water solubility. • Kb-CC07 might overcome drug resistance by increasing the cellular uptake of CPT, counteracting the efflux action of drug-resistant proteins on tumor surface. • Kb-CC07 demonstrated remarkable tumor targeting ability and antitumor efficacy in vivo, along with benign toxicity profiles. Camptothecin (CPT) is a natural plant alkaloid from Camptotheca that exhibits a potent anticancer activity. However, its continued utilization is hindered by drawbacks such as low water solubility and restricted tumor selectivity. Cationic anticancer peptides (CAPs) are generally soluble in water, and exhibit favorable selectivity against malignant cells. In previous study, we have reported a CAP termed KM8-Aib present conspicuous selective anticancer effect. Thus, it is postulated conjugating KM8-Aib with CPT might be a plausible approach to improve the defects of CPT. A series of peptide-CPT conjugates were synthesized and subjected to biological evaluation. Among these compounds, Kb-CC07 displayed the highest selective activity against a set of cancer cell lines including drug-resistant cells, showing the IC 50 values in the 0.11–1.01 μM range which is 1.9–22.6 times better than that of CPT, and a wide therapeutic index of 124.5 (vs 5.3 for CPT). The water solubility of Kb-CC07 was also improved by ∼ 100 fold compared with CPT. Further investigation unraveled that Kb-CC07 could effectively penetrate across plasma membranes and delivered more CPT molecules into cancer cells, overcoming the drug-resistance result from efflux drug transporters on tumor surface. In vivo experiments supported that Kb-CC07 has excellent in vivo antiproliferative activity against drug-resistant tumors over CPT (tumor growth inhibition of 98.2% and 37.5% for Kb-CC07 and CPT, respectively, at 5 μmol·kg−1), and prompts CPT accumulation in tumor tissue rather than normal organs, thus producing limited toxicities. To sum up, coupling therapeutic agents to CAPs would be a potential strategy to conquer the shortcomings of anticancer drugs. Additionally, Kb-CC07 is suggested to be a promising anticancer candidate deserving further investigation. [ABSTRACT FROM AUTHOR]

The conventional approaches for recovering valuable metals from spent lithium-ion batteries (LIBs) suffer from heavy dependence on chemical reagents, high energy consumption, and low recovery efficiencies. In this study, we developed a shearing-enhanced mechanical exfoliation combined with mild-temperature pretreatment (SMEMP) method. The method achieves high-efficiency exfoliation of the cathode active materials that remain strongly adhered to polyvinylidene fluoride after it melts during mild pretreatment. The pretreatment temperature was decreased from 500–550 °C to 250 °C, the duration was decreased to 1/4–1/6 of the traditional pretreatment duration, and the exfoliation efficiency and product purity reached 96.88% and 99.93%, respectively. Despite the weakening thermal stress, the cathode materials could be exfoliated by strengthened shear forces. Compared with other traditional methods, the superiority of this method in temperature reduction and energy saving was established. The proposed SMEMP method is environmentally friendly and economical, and it offers a new route for the recovery of cathode active materials from spent LIBs. [Display omitted] • A shearing-enhanced exfoliation method combined with mild pretreatment is proposed. • The exfoliation was achieved by synergy of thermal stress and strong shear action. • Heat treatment temperature dropped by about 250 °C with the duration reduced to 1/6. • The exfoliating efficiency could reach 96.88% with purity as high as 99.93%. [ABSTRACT FROM AUTHOR]

Latent heat thermal energy storage unit alleviates the mismatch between energy supply and demand. However, the sole melting temperature of a phase change material in a single-layer heat storage unit does not adapt well to the environment. Therefore, the mechanisms associated with the better environmental adaptability of a multiple-layer heat storage unit are explored in this study based on energy and exergy evaluations via comparison with single-layer units. An innovative methodology is proposed to discuss transient thermal energy and exergy, and exergy distribution of these heat storage units in different seasons. Results show that the multiple-layer units address the limitations of single-layer units by exhibiting excellent heat storage capacity and quality, as well as uniform melting and exergy distribution. Compared with the single-layer unit with a melting temperature of 49 °C, the multiple-layer unit exhibits a 56.64% higher energy in the winter. Moreover, the exergy is 57.14% higher than that of the single-layer unit with a melting temperature of 33 °C in the summer. This study reveals the mechanism of excellent thermal energy storage performance of the multiple-layer latent heat storage unit in different seasons. • An innovative transient performance evaluation method was proposed. • Thermal energy and exergy quantities, and exergy distribution were discussed. • Enhanced mechanism of multiple-layer latent heat storage unit was revealed. • Multiple-layer latent heat storage unit has uniform melting and exergy. [ABSTRACT FROM AUTHOR]

Tissue engineering is essentially a technique for imitating nature. Natural tissues are made up of three parts: extracellular matrix (ECM), signaling systems, and cells. Therefore, biomimetic ECM scaffold is one of the best candidates for tissue engineering scaffolds. Among the many scaffold materials of biomimetic ECM structure, decellularized ECM scaffolds (dECMs) obtained from natural ECM after acellular treatment stand out because of their inherent natural components and microenvironment. First, an overview of the family of dECMs is provided. The principle, mechanism, advances, and shortfalls of various decellularization technologies, including physical, chemical, and biochemical methods are then critically discussed. Subsequently, a comprehensive review is provided on recent advances in the versatile applications of dECMs including but not limited to decellularized small intestinal submucosa, dermal matrix, amniotic matrix, tendon, vessel, bladder, heart valves. And detailed examples are also drawn from scientific research and practical work. Furthermore, we outline the underlying development directions of dECMs from the perspective that tissue engineering scaffolds play an important role as an important foothold and fulcrum at the intersection of materials and medicine. As scaffolds that have already found diverse applications, dECMs will continue to present both challenges and exciting opportunities for regenerative medicine and tissue engineering. [ABSTRACT FROM AUTHOR]

Polyborosilazane synthesized from trichlorosilane (SiHCl 3 ), boron trichloride (BCl 3 ) and methylamine (MeNH 2 ) is highly sensitive to moisture for hydrolysis of -NHMe unites and is easy to cross-link for dehydrogenation of Si-H, N-H, which affected the industrial scale production of SiBNC ceramic fibers. In this paper,a new nitrogen source(n-propylamine, C 3 H 7 NH 2 ) was used instead of MeNH 2 to synthesis polyborosilazane precursor. The influences of nitrogen sources on the structures and properties of SiBNC ceramic fiber precursors were investigated. As compared to SiHCl 3 /BCl 3 /CH 3 NH 2 system, polyborosilazane precursor synthesized from the SiHCl 3 /BCl 3 /C 3 H 7 NH 2 system exhibited lower crosslink density, lower sensitivity to moisture and good melt spinnability, and the obtained ceramic fibers showed higher tensile strength (1.03 GPa, an increase of about 37.3%). This synthesis route (SiHCl 3 /BCl 3 /C 3 H 7 NH 2 ) may serve as a suitable synthetic route for a large-scale production of SiBNC ceramic fibers. [ABSTRACT FROM AUTHOR]

A novel processable and high yield polyborosilazane (PBSZ) precursor for SiBNC ceramic fibers was synthesized via boron trichloride (BCl 3 ), co-polymerization of trichlorosilane (SiHCl 3 ) and methylamine (MeNH 2 ), followed by trans-amination with NH 3 . The synthesized PBSZ precursor was characterized and the results showed that the polymeric precursor exhibited good melt–processability and green fibers with a diameter of 45 µm could be easily obtained by melt spinning. The green fibers were subsequently pyrolyzed at 1200 °C in nitrogen atmospheres to provide SiBNC ceramic fibers with a cylindrical hollow structure, ca.32 µm in diameter and 720 MPa in tensile strength. The green fibers had an approximately ceramic yield of 78% at 900 °C. [ABSTRACT FROM AUTHOR]

Novel three dimensional (3D) porous carbon nanosheets with few layers are successfully prepared using intrinsically porous cellulose as carbon matrix only by means of calcination and KOH activation. Further, the N-doped 3D carbon nanosheets show high density of pyridinic N and extremely high specific surface area (1756 m 2 g −1 ). As oxygen reduction catalyst, they possess an outperformed onset (E 0 = −0.03 V) and half-wave (E 1/2 = −0.17 V) potential compared with the platinum (Pt) electrocatalyst (E 0 = −0.05 V, E 1/2 = −0.2 V) in an alkaline system. In addition, excellent electrochemical stability as well as improved CO poisoning resistance and suppressed methanol crossover relative to Pt is also obtained. In an acid system, the catalyst also exhibits good activity and higher durability than Pt/C. Significantly, when used as a catalyst of the air electrode for Zn–air batteries, it demonstrates a higher peak power density of 208 mW cm −2 and a voltage plateau at the controlled discharge current density compared to the commercial Pt/C electrode. This simple and scalable approach provides a direct route to synthesize low cost and highly efficient electrocatalysts from biomass without addition of extra metal catalysts. [ABSTRACT FROM AUTHOR]

• Oder domain beamforming is proposed for the localization of rotating machineries under variable speed conditions. • A steering vector of order domain beamforming is constructed. Rotating machinery is widely used in the modern industry, which undergoes huge amounts of variable speed working conditions. Localizing the sound sources of the rotating machinery on a specific order is significant to noise source identification and fault diagnosis. The order domain beamforming method (ODBF) is proposed in this paper to localize the source in the rotating machinery at a specific order. Firstly, the measured acoustic array signals are resampled into the angle domain via the key phase signal. Then, the fast Fourier transform is operated to obtain the acoustic pressure on a specific order. Finally, with the derivated steering vector in the order domain, the proposed order domain beamforming method can obtain the acoustic map on the scanning plane to localize the primary acoustic sources of the rotating machinery. The numerical simulation investigates the performance of the proposed ODBF under different cases. The industrial motor noise source identification experiment further verifies the effectiveness of the proposed ODBF. [ABSTRACT FROM AUTHOR]

[Display omitted] Antimicrobial peptides (AMPs) are generally small cationic amphipathic peptides, which are thought to be ideal antineoplastic agents, owing to their favorable selectivity to cancer cells and the ability to overcome drug-resistance. In this study, an anticancer AMP (Mastoparan (INLKALAALAKKIL-NH2)) was selected as the lead compound and a series of Mastoparan derivatives were designed. Preliminary studies verified that an analogue of Mastoparan, KM8 (KLLKINLKALAALAKKIL-NH2), exhibited prominent selective antitumor effects. Instead, it presents a significant defect of metabolic instability, with a half-life in plasma of only about 0.5 h. Metabolite profiling of KM8 was performed and indicated the structure 9 AL 10 in peptide sequence could be the fragile site for KM8. Thus, the Aib (unnatural amnio acid) was employed to substitute the 9 Ala residue in KM8, and generating a long-acting KM8 derivative, namely KM8-Aib. Further investigations revealed KM8-Aib possessed higher metabolic stability, more potent anticancer activity in vitro & in vivo , and lower toxicity. Therefore, KM8-Aib is suggested be a potential antimalignant agent that worthy of more in-depth study. [ABSTRACT FROM AUTHOR]

Regulating photovoltaic (PV) cells temperature using phase change materials (PCMs) is considered a promising thermal management strategy. In this study, a solar PV-PCM collector with rectangular copper fins was proposed, and the effects of the PCM height and fin length, arrangement, and number, on the temperature characteristics, and electrical efficiency of PV cells were numerically investigated. A PCM height of 60 mm could meet the thermal management requirement of a heat flux input of 800 W/m2 during the daytime. Compared with the PV-PCM model without fins, the PV cell performance was improved by 4.62% for the model uniformly arranged three fins with a height of 33.33 mm. The variable length and nonuniform arrangement of fins could further enhance the performance of PV cells; however, the temperature uniformity deteriorated. Compared with fin length and arrangement, the fin number played a more significant role in the thermal management of PV cells. The model with eleven fins performed the best with the average temperature, temperature unevenness, and efficiency of 48.58 °C, 3.20, and 11.19%, respectively. These values were 16.11 °C and 43.06% lower, and 7.70% greater than the model without fins. This study provides valuable insight into the design optimization of PV-PCM systems. • Phase change material was adopted for thermal management of the PV cell. • Temperature uniformity and electrical efficiency of the PV cell were studied. • Suitable PCM amount in PV-PCM collector was evaluated. • Different arrangements of fins in PV-PCM collector were optimized. [ABSTRACT FROM AUTHOR]

In this work, the tackified PDCPD (PDCPD-T) specialized for vacuum assistant resin infusion process (VARI) was developed. The epoxy resin and methyl nadic anhydride (NMA) was subsequently added to the PDCPD-T to improve the interfacial bonding with the carbon fibres. The results showed that the introduction of NMA-cured epoxy undermined the mechanical properties of the PDCPD-T owing to the agglomeration of the tackifier particles. Nonetheless, the mechanical properties of the CFRCs based on the co-cured blends of the PDCPD-T and the NMA-cured epoxy were comprehensively improved compared to the composites based on the PDCPD-T. The improvement was that a part of NMA-cured epoxy in the co-cured blends would phase separate on the surface of the carbon fibre, which formed the "bridge" connecting the matrix and the carbon fibre. In addition, the degree of the tackifier agglomeration would also decrease due to the decrease in the surrounding epoxy concentration. [Display omitted] • The continuous carbon fiber reinforced polydicyclopentadiene (PDCPD) composites based on the vacuum-assisted resin infusion process are realized by tackifying the dicyclopentadiene (DCPD) monomer. • The further addition of anhydride-cured epoxy resin to the tackified DCPD monomer solves the problem of poor interfacial bonding between the PDCPD resin and the carbon fiber. • The carbon fiber composites based on the modified PDCPD matrix are proved to be far superior in interlaminar fracture toughness and impact resistance than the epoxy-based composites. [ABSTRACT FROM AUTHOR]

• Transcriptome, translatome, and metabolome were used to analyse tea etiolation. • Ribosome profiling reveals carbon and phytohormone metabolism mediate leaf etiolation. • HY5 inhibited chlorophyll and flavonoids metabolism in etiolated leaf. • Changes in gene structure between EL and GL influence their gene expression. Albino tea plants (Camellia sinensis , Atps) are among the most attractive germplasm resources because of their unique phenotype and flavor. Although previous studies have extensively investigated the transcriptional and metabolic mechanisms in Atps, the lack of research at the translational level hinders the understanding of translation control and multi-omics integration. Here, we integrated the transcriptome, translatome, and metabolome to study the global translation and its effect on the metabolic characteristics of Atps. Comparative analysis of RNA-seq and Ribo-seq datasets indicated that 4,295 genes were expressed as synergic responses in etiolated leaves and were mainly enriched in the carbon metabolism and phytohormone pathways. Further integration-omics analyses revealed that the HY5 gene was upregulated at both the transcription and translation levels and repressed chlorophyll biosynthesis and flavonoids metabolism due to low levels of indole acetic acid and auxin response factors. Moreover, sequence characterizations (guanine-cytosine (GC) content, length, and normalized minimal free energy (NMFE)) highly influenced the translational efficiencies (TE) of genes and upstream open reading frames (uORFs), and a higher quantity of uORFs and TE were observed in EL, inhibiting the expression of downstream genes. In summary, we demonstrated that translation regulation contributes to causing leaf color variation and provided a valuable method for exploring the potential regulatory mechanisms controlling phytohormones that affect crop quality using multi-omics technology. [Display omitted] [ABSTRACT FROM AUTHOR]

• A framework for predicting seismic responses based on limited building information is proposed. • A dataset of seismic responses corresponding to 162 typical RC frames of low-medium rise and 200 diverse ground motions is built. • A CNN-based prediction model (call StruNet here) is established for regular RC frame structures based on the dataset. • StruNet maps the limited building information and ground motion time histories into seismic responses (PFA and IDR) of each floor. • StruNet shows sufficient accuracy and high computational efficiency in predicting seismic responses for four actual cases. Building portfolio is the important urban engineering system, and the seismic resilience assessment of a city needs the quick and accurate prediction of the seismic responses of existed buildings. However, many existed buildings generally possess the problem that the design information materials are incomplete or completely lost. The major challenge in the seismic resilience assessment of building portfolio is how to predict the seismic responses of buildings quickly and accurately just using limited building information. This manuscript aims to develop a method for the seismic response prediction of the existed reinforced concrete (RC) frame buildings just using limited building information. A total of 162 typical RC frame buildings of low to medium rise are designed, and the inter-story drift (IDR) as well as peak floor acceleration (PFA) of each floor in each building are computed for 200 ground motions with nonlinear time history analysis (NLTHA) method. A convolutional neural network (CNN) is developed with ground motion records and five easy-getting building parameters as inputs. The outputs are IDR and PFA of each floor for the given building. Considering the physical means of an input parameter—number of stories, the modified loss function and modified evaluation function are proposed. The developed network is trained with the computed dataset and the modified loss function, and the trained model (referred to StruNet) can take the characteristics of ground motions and structures into consideration together comparing to previous studies. The proposed model is verified through four cases (i.e., 4 actual buildings with different construction time, occupancy types, and plane layouts), which are independent of the deep learning dataset. The results confirm that the proposed method offers prediction results with sufficient accuracy and shows high computational efficiency. [ABSTRACT FROM AUTHOR]

A novel porous core-shell magnetic β-cyclodextrin/graphitic carbon nitride photocatalyst (Mβ-CD/GCN) was synthesized and employed in a solar light driven catalytic system for the degradation of polychlorinated biphenyls (PCBs). The Mβ-CD/GCN display superior photocatalytic performance on account of porous structure and ultrathin GCN nanosheets design, the former improves the utilization of visible light by multiple scattering and reflection of incident light, and the latter accelerates electron transfer. The ultrahigh specific surface area (1255 m2 g−1) of Mβ-CD/GCN provided a large number of active sites for adsorption and degradation of the target pollution. The pseudo-first order reaction rate constant (k obs) for the degradation of PCB180 by Mβ-CD/GCN was 0.021 min−1, which improved 3.23 times than the bulk GCN. Additionally, the effects of various reaction parameters and water matrices were studied on the degradation of PCB180. Three possible degradation pathways and mechanism of PCB180 were speculated according to the identification of reaction intermediates and detection of reactive species. The solar light driven Mβ-CD/GCN catalytic technology is a promising method not only for the control of persistent organic pollutants (POPs), but also the catalyst could be recovered and reused through simple magnetic separation. [Display omitted] • Degradation of PCB180 is achieved by porous core-shell Mβ-CD/GCN under solar light. • Ultrahigh specific surface area (1255 m2 g−1) of Mβ-CD/GCN provides great active sites. • PCB180 is gradually transformed into alcohols, ketones and fatty acids. • Chlorine atoms are removed from biphenyl and generate tetrachloroethylene. [ABSTRACT FROM AUTHOR]

Housing unweaned calves individually in barren environments negatively affects their growth, cognitive ability, and adaptability to environmental changes in later life. Social housing has been shown to improve those aspects, whereas physical environmental enrichment has rarely been studied in calves. Little is known about whether the combination of both components offers further benefits. Furthermore, curiosity has been considered an intrinsic factor underpinning cognitive performance, which has yet to be determined in calves. The first objective was to compare the effects of providing physical enrichment items and pair housing calves before weaning, and their combination on the weight gain, behaviour and cognitive ability of calves once regrouped after weaning. The second objective was to investigate if calves' exploratory behaviour in a novel environment can predict their cognitive ability. Forty-eight Holstein calves were allocated to eight groups 2 days after birth. Within each group, two calves were assigned to individual pens and four to two pair pens. One individual pen and one pair pen within each group were provided with brushes, chains, teats, and nets filled with strawberry-scented hay as physical enrichment items. Remaining pens received no additional enrichment items. All calves from a group were introduced to one post-weaning pen when the youngest calf was 9 weeks of age. Calves were weighed on days 1 and 7 in post-weaning pens. They were video-recorded on days 1, 3 and 11 and behavioural data were collected. Spontaneous object recognition tests were conducted within one week after behavioural data collection to assess cognitive ability in terms of how long after exposure calves recognised objects, indicated by differential expression of exploratory behaviour. Physical enrichment items and pair housing had interactions on average daily gain (F 1,33 = 5.460, p = 0.026), with calves in physically enriched pair pens showing higher average daily gain than those in non-enriched pair pens and tending to show higher average daily gains than those in physically enriched individual pens. Physically enriched calves expressed more exploratory behaviour and social sniffing than non-enriched calves (F 1,111 = 20.691, p < 0.001; F 1,111 = 14.433, p < 0.001). Pair housed calves spent more time cross-sucking than individually housed calves (F 1,111 = 8.848, p = 0.008). Compared with non-enriched calves, physically enriched calves were more inclined to explore the novel object than the object already presented 15-min ago (χ2 = 3.282, df = 1, p = 0.070). There was no association between exploratory behaviour upon initial introduction to post-weaning pens and performance in object recognition tests. In conclusion, the combination of physical enrichment and pair housing improves calves' average daily gain after weaning when compared with either component alone. Physical enrichment seemed to improve calves' memory and adaptability to change, whilst pair housing did not. Calves' exploratory behaviour in novel environments may not contribute to their cognitive performance. • The combination of enrichment items and pair housing improved calves' later growth. • Enrichment items improved adaptability to environmental changes whereas pair housing did not. • Enrichment items tended to improve recognition memory whereas pair housing did not. • There was no association between exploratory behaviour and object recognition memory. [ABSTRACT FROM AUTHOR]

The transformer discharge fault localization is important for the power supply reliability. The audible sound radiated by the transformer can reflect the extensive operation information. Thus, discharge faults can be localized by high spatial resolution acoustic imaging techniques to facilitate the inspection and maintenance of power equipment. In this paper, the grid-moving equivalent source method (GMESM) is proposed to visualize the discharge fault on a transformer, where the equivalent source grids can approach the discharge fault position adaptively. A probability framework is established in GMESM. The noise power can be firstly estimated by the Bayes rule to avoid an additional measurement of the background noise. Then, the expectation maximization algorithm is used to optimize the proposed model. Two experiment cases are used to validate the proposed method. It turns out that the proposed GMESM can visualize the discharge fault on the transformer with high spatial resolution and accuracy. • The transformer discharge fault is localized by audible acoustic array. • GMESM is proposed for high-resolution transformer discharge fault localization. • The background noise power is estimated to avoid an additional measurement. [ABSTRACT FROM AUTHOR]

[Display omitted] • Magnetic multifunctional nanocomposites as catalysts were developed. • Synergy of adsorption, photodegradation and Fenton oxidation were carried out. • Degradation of PCBs in wastewater using Fe 3 O 4 @β-CD/g-C 3 N 4 was promising. • Degradation efficiency of six PCBs has been achieved to 77–98% in 55 min. • This catalyst is found to be stable and efficient for several repeated cycles. Herein, a multifunctional magnetic β-cyclodextrin/graphitic carbon nitride catalyst (Fe 3 O 4 @β-CD/g-C 3 N 4) was fabricated for PCBs degradation in wastewater. The catalysts were investigated using various characterization methods including X-ray diffractometry, field emission scanning electron microscopy, vibrating sample magnetometry and UV–Vis diffuse reflectance spectroscopy et al. As-synthesized Fe 3 O 4 @β-CD/g-C 3 N 4 displayed the superior catalytic activity, and the degradation efficiency of six PCBs was 77%–98% at 55 min, with pseudo-first order reaction rate constants were in the range of 0.027–0.065 min−1. The super synergy of photodegradation and heterogeneous Fenton oxidation was 2.1–4.6 times more efficient than that photodegradation or heterogeneous Fenton oxidation alone. Fe 3 O 4 @β-CD/g-C 3 N 4 could be reused for at least 6 cycles without significant deterioration to its catalytic activity. Several reaction intermediates were identified using GC-MS/MS. The products of the last stage of the reaction were alkanes, aldehyde, ketone and ester, which were formed via ring opening, dechlorinating and isomerization reactions. For PCBs degradation, •OH played a major role, •O 2 − played a secondary role, 1O 2 , h± and e− played minor roles based on reactive species trapping experiments. The catalytic performance of the Fe 3 O 4 @β-CD/g-C 3 N 4 − H 2 O 2 − visible light system towards degradation of PCBs in river water and municipal wastewater was 89–100% and 69–92%, respectively, which means the Fe 3 O 4 @β-CD/g-C 3 N 4 has great potential for environmental remediation. [ABSTRACT FROM AUTHOR]

The cardiotoxicity induced by human epidermal growth factor receptor-2 (HER-2) inhibitors in patients with breast cancer has been reported widely. However, these data sources were largely limited to fewer patients in clinical trials and case reports, lacking more comprehensive analysis from real-world data. The cases diagnosed with breast cancer from January 2004 to December 2021 were extracted from the FDA adverse event database and further divided into 3 groups (the HER-2 inhibitor group, the positive control group, and the control group). The association between HER-2 inhibitors and cardiovascular adverse events was evaluated using the reporting odds ratio (ROR), a disproportionality method. A total of 167,639 breast cancer patients were included, including 18,615 cases in the HER-2 inhibitor drug group, 2568 cases in the positive control group, and 146,456 cases in the control group. A total of 2529 cases (13.5%) treated with HER-2 inhibitors experienced cardiovascular adverse events, mainly reported by health professionals (81.5%). The disproportionality analysis showed that cardiomyopathy was observed in all HER-2 inhibitors except trastuzumab deruxtecan. Trastuzumab-related CVAEs were most frequently reported (N =2075), and the median time was 80.50 days (IQR: 8.00 to 206.75 days). Based on real-world data analysis, our study demonstrated a significant association between HER-2 inhibitors and cardiovascular toxicity. Cardiac function in patients with breast cancer should be monitored early during anti-HER therapy, especially within six months. • Consistent significant disproportionality in cardiac failure and cardiomyopathy was found for HER-2 inhibitors. • The RORs in heart failure and cardiomyopathy for trastuzumab was the highest, while TDM-1 was the lowest. • The CVAEs in patients with breast cancer after receiving HER-2 inhibitors mainly occurred within six months. [ABSTRACT FROM AUTHOR]

In the preharvest stage of tea leaves, the stress exposure including drought, cold, light, and insect, could promote the good taste of tea. In the postharvest stage of tea leaves, the stress exposure including wounding, drying, and low-temperature, could promote the good aroma of tea. • This review summarizes the relationships among stress, metabolites, and quality in tea leaves. • The pre-harvest and post-harvest factors such as stress and manufacturing, both change the environment to stimulate fresh tea leaves and influence the tea quality. • Stress exposure affects secondary metabolites such as sugar, amino acid, catechin, and aroma compound to improve tea quality including the taste and aroma. • The knowledge from this review facilitates a new view of utilizing stress for leaf-use crop stress research. Environmental stress can greatly influence the accumulation of primary and secondary metabolites in tea leaves, thereby affecting tea quality. Metabonomics technology has enabled a clear understanding of stress-induced changes in plant metabolite profiles. However, few studies have actually brought this knowledge into the tea production process. This review proposes a feasible strategy to link the relationships among stress factors, metabolites, and tea quality. First, we extensively review a number of studies that focused the effects of stress, namely, cold, drought, intense light, and insect herbivory, on soluble sugars, free amino acids, catechins, caffeine, and aroma compounds in tea leaves. These studies included single or multiple artificial stress conditions (e.g., wounding, drying, and low temperature) during pre-harvest plant growth and post-harvest processing, which induced the production of different types of volatile compounds, such as fatty acid derivatives, amino acid derivatives, terpenoid derivatives, phenylpropanoids, and benzenoids. As environmental stress conditions and tea manufacturing have similar effects on leaves, tea manufacturing was considered as an exposure to multiple stress factors during tea production. Finally, our review aims to provide a useful understanding of plant metabolism based on which, tea leaves may be purposely exposed to controlled stress conditions during tea manufacturing as a novel strategy for scientifically improving tea quality. [ABSTRACT FROM AUTHOR]

• Access to physical items (e.g. brush, teat) improved growth; pair housing did not. • Physical items reduced undesirable behaviours (e.g. non-nutritive sucking). • Social housing promoted positive behaviours (e.g. locomotor play and sniffing). • The combination of physical items and social housing showed no further improvement. • The treatments had no effect on calf fear in novel environment and object tests. The objective of this study was to determine the effects of social housing, the provision of physical enrichment, and the interaction between the two on calf growth, behaviour and fearfulness. Forty-eight calves were randomly allocated to either individual (IP, sixteen calves) or pair (PP, thirty-two calves) pens from 2 days to 8 weeks of age. Half of the calves in each housing treatment were provided with physical enrichment items (stationary brushes, plastic chains, rubber teats and haynets filled with strawberry-scented hay; PE). The remaining calves received no physical enrichment items (NPE). Concentrate consumption within each pen was measured daily and calves were weighed at birth and weekly thereafter. Concentrate feeding efficiency was then calculated by the ratio between average daily gain within each pen and daily concentrate consumption within each pen. When calves were 2–5 weeks of age, they were recorded by a camera between 06:00 h and 20:00 h twice weekly, and behavioural data were collected using instantaneous scan sampling at 5-min intervals. Their behavioural responses to a novel environment and a novel object were then assessed once each at 5 or 6 weeks of age. PE calves tended to have greater average daily gains than NPE calves (mean ± IQR; 610.6 ± 151.8 g/d vs. 568.8 ± 77.1 g/d; p = 0.095). PE calves spent more time consuming hay than NPE calves. Among calves in IP pens, PE calves consumed less concentrate but had better concentrate feeding efficiency than NPE calves. For home pen behaviours, PE calves showed less frequent non-nutritive sucking than NPE calves (0.802 ± 0.451 % vs. 1.897 ± 0.401 % of scans) and less frequent cross-sucking. Furthermore, PP increased or tended to increase the time spent on locomotor play, fixture sniffing, social sniffing, allogrooming and cross-sucking, but tended to decrease non-nutritive sucking compared to IP. No treatment effects were found on behaviour in the novelty tests. In conclusion, physical enrichment may improve calf growth more effectively than social housing does. Physical enrichment and social housing may satisfy diverse natural behaviours and reduce undesirable behaviour in different ways. However, these treatments had no effect on calf fear responses in novel environment and object tests. The combination of physical enrichment and social housing showed no further improvement in calf welfare. [ABSTRACT FROM AUTHOR]

• Tensor SVD, a method to find a low-dimensional representation of complex data, was applied to denoise atomic-resolution 4D STEM and EDS spectrum image data. • Tensor SVD outperforms conventional matrix PCA in denoising and equals or outperforms the state-of-the-art non-local methods BM4D and NLPCA. • Tensor SVD is much less computationally intensive than non-local methods, requiring only a few minutes denoise a GB-scale 4D STEM data set on a typical desktop computer. Tensor singular value decomposition (SVD) is a method to find a low-dimensional representation of data with meaningful structure in three or more dimensions. Tensor SVD has been applied to denoise atomic-resolution 4D scanning transmission electron microscopy (4D STEM) data. On data simulated from a SrTiO 3 [100] perfect crystal and a Si [110] edge dislocation, tensor SVD achieved an average peak signal-to-noise ratio (PSNR) of ~40 dB, which matches or exceeds the performance of other denoising methods, with processing times at least 100 times shorter. On experimental data from SrTiO 3 [100] and LiZnSb [11 2 ¯ 0]/GaSb [110] samples, tensor SVD denoises multiple GB 4D STEM data sets in ten minutes on a typical personal computer. Denoising with tensor SVD improves both convergent beam electron diffraction patterns and virtual-aperture annular dark field images. [ABSTRACT FROM AUTHOR]

The Early Cretaceous collision between the Lhasa and Qiangtang terranes is one of the critical tectonic events that shaped the southern margin of the Eurasian continent, and that impacted the formation of the Cenozoic Tibetan Plateau. However, how far north this collision affected the structural and sedimentary geology of the Early Cretaceous remains uncertain. To address this issue, we present results from an integrated study of Lower Cretaceous strata in the Northeastern Qaidam Basin (NEQB), northern Tibetan Plateau, based on field observations, detrital zircon U–Pb analyses, and seismic profile interpretations. The Lower Cretaceous mainly consists of deltaic, fluvial, and alluvial sandstone and conglomerate with a pattern of orogeny-related molasse deposits and a provenance in the nearby South Qilian Shan to the north. A number of south-directed reverse faults developed and formed piggy-back basins in the Early Cretaceous. These reverse faults remained active and affected erosion during the Late Cretaceous, leaving an unconformity above the Cretaceous strata. These observations indicate a foreland-like NEQB due to the uplift and southward thrusting of the South Qilian Shan in the Early Cretaceous. We further interpreted the NEQB and the South Qilian Shan to be the northern edge of the compressional regime associated with the Lhasa-Qiangtang collision in the Early Cretaceous, which contrasts with the contemporaneous extensional setting in the North Qilian Shan and further north. We also observed that some Early Cretaceous faults were rejuvenated as major thrusts in the South Qilian Shan thrust belt in the Cenozoic. For the first time, this study maps the northern boundary of the Late Mesozoic Qiangtang Plateau and highlights a protracted influence on Tibetan Plateau tectonism since the Early Cretaceous. • The Lower Cretaceous strata coarsen upward in the NEQB. • Persistent provenance in the South Qilian Shan. • Early Cretaceous reverse faults were reactivated in the Cenozoic. • A foreland-like NEQB related to the Qiangtang-Lhasa collision. • The Cretaceous tectonics impacted the formation of Cenozoic Tibetan Plateau. [ABSTRACT FROM AUTHOR]

• No negative effects occurred for SAR (pH 3.5 and pH 4.5). • SAR (pH 2.5) reduced chloroplasts and damaged the outer leaf layers. • SAR (pH 2.5) altered genes related to photosynthesis and various metabolic pathways. • Plants respond to SAR stress by mechanisms of resistance, avoidance, and escape. Tea plants (Camellia sinensis (L.) O. Kuntze), which are typically cultivated in high-elevation mountainous regions in southern China, are severely affected by acid rain. Our recent study indicated that simulated acid rain (SAR) at pH 2.5 produced necrotic spots on the leaf surface, impaired plant development by inhibiting photosynthesis and the antioxidant defense system, and caused metabolic disorders. In contrast, a pH of 4.5 had no toxic effects on tea seedlings. However, molecular-level evidence for these conclusions is still lacking. In this study, we explored the changes in leaf micromorphology under different SAR treatments using electron microscopy, and presented the first case study on the systemic responses of the tea leaf transcriptome to SAR. An examination of leaves using transmission electron microscopy (TEM) and scanning electron microscopy (SEM) showed that SAR (pH 4.5 and pH 3.5) did not impair the epidermis or chloroplast structures, but SAR (pH 2.5) reduced the number of chloroplasts, corroded epicuticular wax and trichomes, and altered stomatal density and size. Transcriptomic analysis revealed that the expression of multiple genes related to photosynthesis and carbohydrate, nitrogen, and sulfur metabolism were altered under SAR. Additionally, epicuticle wax biosynthesis and plant hormone signal transduction pathways were found to significantly influenced by high-acidity SAR. Taken together, our results suggest that tea plant responses to intense SAR stress incorporate three aspects: (1) stress resistance via altering metabolic pathways to enable survival; (2) stress avoidance via restraining uncontrolled non-stomatal gas exchange; and (3) stress escape via redistributing nitrogen from stress damaged leaves. These findings provide valuable insights into plant responses to acid rain stress. [ABSTRACT FROM AUTHOR]

• A classification neural networks and a regression neural network were trained on simulated CBED patterns to predict TEM sample thickness from 4D STEM convergent beam diffraction patterns. • Sub-unit cell lateral resolution, single unit cell thickness resolution, and 1 nm deviation from quantitative HAADF STEM thickness estimates were achieved. • Convolution neural networks were trained on simulation data with automatic labelling, and do not require quantitative matching between experiment and simulation. • Similar methodology might be extended to learn other physical properties of a sample from large 4D STEM datasets. Two types of convolutional neural network (CNN) models, a discrete classification network and a continuous regression network, were trained to determine local sample thickness from convergent beam diffraction (CBED) patterns of SrTiO 3 collected in a scanning transmission electron microscope (STEM) at atomic column resolution. Acquisition of atomic resolution CBED patterns for this purpose requires careful balancing of CBED feature size in pixels, acquisition speed, and detector dynamic range. The training datasets were derived from multislice simulations, which must be convolved with incoherent source broadening. Sample thicknesses were also determined using quantitative high-angle annular dark-field (HAADF) STEM images acquired simultaneously. The regression CNN performed well on sample thinner than 35 nm, with 70% of the CNN results within 1 nm of HAADF thickness, and 1.0 nm overall root mean square error between the two measurements. The classification CNN was trained for a thicknesses up to 100 nm and yielded 66% of CNN results within one classification increment of 2 nm of HAADF thickness. Our approach depends on methods from computer vision including transfer learning and image augmentation. [ABSTRACT FROM AUTHOR]

• The research progress and classification of Atps were summarized. • The expression pattern of protochlorophyllide oxidoreductase (POR) is one of the crucial factors affecting chlorophyll biosynthesis and chloroplast biogenesis. • Epigenetics, tea processing, health benefits, and whole-genome resequencing are potential areas for study Atps. The distinct historical background and tea flavor, including high umami taste and low astringency, make the albino tea plants (Atps) stick out from the tea plant (Camellia sinesnis). The decipherment of genes, enzymes, and metabolites involved in these processes is still significantly lagging, which lays an obstacle for molecular plant breeding and commercialized production. With the popularity of high-throughput omics technology, 'single level' or 'multi-level'-based research theory have emerged as powerful tools for revealing the mechanism of characteristic metabolite accumulation and pigment transformation. Thus, it is pivotal to summarize and introduce these advances in facilitating gene identification of critical pathways in the Atps. In this review, we systematically arranged the history and classification of Atps, detailed their strategies for stress response and the metabolic pattern of L-theanine and catechins. Further, reference the successful examples of model plants, we concentrating on the recent advances in omics technology applied to the Atps. Finally, we prospect the promising development areas of the Atps. [ABSTRACT FROM AUTHOR]

In this study, a phase inversion approach was employed to fabricate four different thicknesses (20 μm to 100 μm) of polyethersulfone (PES) porous films with visible holes (1 hole/cm2) on the surface, applied as interleaves to improve the interlaminar fracture toughness of carbon fiber/epoxy composite laminates prepared by vacuum assistant resin infusion process (VARI). The film could dissolve into the epoxy resin which as clearly evident by the optical microscopy under a controlled condition. It was noted that the thickness of the resin-rich layer and the distribution of PES microspheres in the interlaminar layer depended on the thickness of the PES porous film. Also, mode I and mode II fracture toughness, interlaminar shear strength (ILSS), flexural properties as well as tensile properties of the CF/EP composites had all been characterized and analyzed in detail and in order. The results demonstrated that mode I and mode II fracture energies at the optimal interleaved laminates for the toughened system were increased by 61.5% and 55.1% compared to the composites without interleaves, respectively. Besides, PES porous film interleaved laminates displayed an increase of 32% for the interlaminar shear strength and no significant changes in the flexural and tensile properties. It was observed that the films induced toughening via two mechanisms: i) cohesive failure in a thicker resin region and ii) crack deflection and microcrack caused by PES microspheres, illustrated in the microstructure analysis of the failure surfaces and the observations of the crack propagation path. [ABSTRACT FROM AUTHOR]

A deep learning-based rapid peak seismic response prediction model for the most common two-story and three-span subway stations is proposed in this study. The established model predicts the peak seismic responses of subway stations with a data-driven fashion and using limited information. The prediction model extracts the features of ground motions using one-dimensional convolutional neural network (1D-CNN) and then integrates the information of subway stations (i.e., the seismic fortification intensity, buried depth, and shear wave velocity) through a fully connected neural network for regression, resulting in peak seismic responses, namely the peak floor acceleration (PFA) and maximum inter-story drift ratio (MIDR). The model is trained using 19,200 samples obtained from the nonlinear time-history analyses (NLTHAs) of the designed 48 typical subway station structures. Furthermore, the external model verification was performed on 960 additional samples. For the predictions of PFA and MIDR , the coefficient of determination (R 2) values are 0.967 and 0.986, respectively, and the damage states of subway stations are further evaluated, achieving an accuracy of 95.0%. These indicates that the model has good predictive performance and generalization ability. Moreover, the prediction model demonstrates a significantly higher computational efficiency compared to numerical simulation methods. ● Deep learning-based peak seismic response prediction model for two-story and three-span subway stations is established. ● Ground motion and structural characteristics can be considered simultaneously. ● The developed prediction model just requires the limited structural information. ● Peak seismic responses of each layer in subway stations can be obtained by the model. [ABSTRACT FROM AUTHOR]

Identifying acoustic sources with high spatial resolution and precision is significant for machinery noise control. Off-grid compressive beamforming is an effective method for creating acoustic maps with a high spatial resolution. In this study, a two-dimensional off-grid compressive beamforming method via weighted block ℓ 1 norm regularization (WBS-OCSBF) is proposed. The weighted ℓ 1 norm offers a more uniform sparsity penalty compared to the ℓ 1 norm. This method can enhance the performance of off-grid compressive beamforming. Additionally, it is easily implemented on mature linear programming solvers and converges with only a few iterations. Numerical simulations are conducted to analyze the effects of several major parameters on the performance of the proposed method. The simulation results demonstrate the superiority of the proposed method over some traditional methods. The proposed method is then validated using a loudspeaker noises localization experiment. A gearbox transmission system and a transformer are used as two specific objects to explore the industrial application value. The proposed method can effectively localize the gear meshing noise and transformer discharge faults with a high spatial resolution. • Compressive beamforming via weighted Block L1 Norm is proposed in this paper. It enhances the spatial sparsity of the reconstruction results. • Simulation and speaker positioning experiments verify the effectiveness of the method. • Two industrial application experiments proved the potential industrial application value of the method proposed in this paper. [ABSTRACT FROM AUTHOR]

Abstract During an examination of the Mo ss (Mo solid solution) + Mo 5 SiB 2 + Mo 2 B three phase alloys a lattice constant expansion was observed for the Mo ss. To identify the origin of the expansion, high precision analysis of scanning transmission electron microscopy images was carried out to determine the solid solution type of B atoms. A quantitative analysis of the non-rigid registration image demonstrates that the B is located at the octahedral sites of the Mo lattice. This conclusion is consistent with the expansion of lattice constant and the small solid solubility limit of B in Mo ss. Graphical abstract A quantitative analysis of the non-rigid registration image demonstrates that the B is located at the octahedral site (O) of the BCC Mo lattice and not on the tetrahedral site (T). Unlabelled Image [ABSTRACT FROM AUTHOR]

• A large-scale samples and multi-year, multi-point data was used to characterize the variation of amino acids in tea plant. • The potential effects of tree age on the accumulation of amino acid components in tea plants was investigated in two hybrid populations. • The accumulation of amino acids in tea plant was closely related to leaf color variation and the tree age during growing period. Albino tea has been receiving growing attention on the tea market due to its attractive appearance and fresh taste, mainly caused by high amino acid contents. Here, variations in the contents of five free amino acids in relation to pigment contents and tree age in two hybrid populations'Longjin 43′(♀) × 'Baijiguan'(♂) and 'Longjin 43′(♀) ×'Huangjinya'(♂) with 334 first filial generation individuals including chlorophyll-deficient and normal tea plants were investigated. The data showed that the contents of main amino acids in all filial generation gradually decreased as plant age increased. Principal component analysis indicated that the amino acid content of individual plant tended to be stable with the growth of plants. Correlation analysis clarified that several main amino acids were significantly negatively correlated with chlorophyll a , chlorophyll b and carotenoid contents. Our results showed that the accumulation of amino acids in tea plant was closely related to leaf color variation and the tree age during growing period. [ABSTRACT FROM AUTHOR]

In this paper, carbon fibers with hydrophilic surface modification were added into cement mortar through ultrasonic treatment. The mechanical and electrical properties of carbon fiber filled cement mortar were tested to examine the reinforcing effect of carbon fiber. In order to understand the underlying modification mechanisms of carbon fibers to cement mortar at micro scale and in theory, scanning electron microscope (SEM) observation and theoretical calculations were carried out. Test results indicate that the adding of carbon fibers into cement mortar enhances the mechanical strength (especially compressive strength), and decreases the electrical resistivity of carbon fiber filled cement mortar. SEM results show that the enhancement of the properties of carbon fiber filled cement mortar owes to fiber ability of restraining the growth of microcracks and absorbing energy by overcoming its pulling out. The enhancing mechanism of carbon fibers on the properties of cement mortar analyzed by the calculated fiber numbers per unit volume, average center distance between two carbon fibers and the critical pull-out length well matches the experimental results. [ABSTRACT FROM AUTHOR]

The isothermal and cyclic oxidation behavior of Mo-6Si-12B-(1, 2, 4, 8)Al samples was investigated from 800 to 1300 ℃. With increasing Al content, the isothermal oxidation resistance is enhanced and the pesting behavior is suppressed at 800 ℃. The Mo-6Si-12B–4Al alloy with an oxide layer of both an alumino-borosilicate glasses and mullite has the best overall oxidation performance. An oxidation kinetics model was developed based upon the contributions of the individual phase oxidation rates weighted by their relative amounts and sizes that provides a good account of the oxidation behavior. • With increasing Al content, isothermal oxidation resistance is enhanced but the cyclic oxidation resistance is degraded. • A model was developed to analyze the transient oxidation stage of Mo-Si-B-Al alloys. • The mullite/Al-doped borosilicate glass interface is characterized by atomic resolution transmission electron microscopy. [ABSTRACT FROM AUTHOR]