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Chinese herbs have been used as feed additives and are commonly utilized in domestic intensive livestock farming. However, their impact on the production performance and intestinal health of broiler breeders has yet to be thoroughly explored. This study aimed to evaluate the effects of a Chinese herbal mixture (CHM) on the production performance of broiler breeders in terms of reproductive hormones, antioxidant capacity, immunity, and intestinal health of broiler breeders. A total of 336 thirty-wk-old hens were randomly allotted to 4 groups with 6 replicates of fourteen hens each, which fed a basal diet supplemented with 0 (CON), 500 (CHM500), 1,000 (CHM1000), and 1,500 (CHM1500) mg/kg CHM for 56 days, respectively. Our results showed that dietary supplementation with CHM1000 increased the laying rate and number of SYF and decreased the feed conversion ratio (P < 0.05). All CHM groups increased oviduct and ovarian indexes, serum E2 and T-AOC levels, and decreased serum TG and MDA levels compared with CON (P < 0.05). In comparison to the CON group, the CHM1000 and CHM1500 groups increased serum ALB, IgM, and IL-10 levels, whereas the CHM1000 group also increased serum TP and SOD levels, and the CHM1500 group increased serum P and decreased serum TNF-α (P < 0.05). The addition of CHM increased FSHR expressions in the ovary, Claudin-1 expressions in the jejunum, and SOD1 expressions in the liver and ovary, but decreased the mRNA expressions of INH in the ovary as well as IL-2 and IL-6 expressions in the jejunum (P < 0.05). Moreover, CHM500 and CHM1000 groups increased CAT, GPx, and HO-1 expression in the ovary, and SOD1 and GPx expression in the jejunum, while decreasing IL-17A expression in the jejunum (P < 0.05). In addition, CHM1000 and CHM1500 groups increased villus height, VCR, and the mRNA expressions of Nrf2, HO-1, Occludin, and MUC2 in the jejunum, and IL-10 expression in the ovary, while decreasing IL-2 and IL-17A expression in the ovary, in addition to increasing GPx, Nrf2, HO-1, NQO1, and IL-10 expression in the liver (P < 0.05). Supplementation with CHM1000 increased ESR-α, ESR-β, GnRH, Nrf2, and NQO1 expression in the ovary, but decreased IFN-γ expression in the ovary as well as crypt depth in the jejunum (P < 0.05). Supplementing CHM1500 increased NQO1 and ZO-1 expression in the jejunum and decreased IL-2 in the liver (P < 0.05). The high-throughput sequencing results showed that dietary CHM1000 supplementation altered the composition of the intestinal microbiota, as evidenced by the regulation of the genera Lactobacillus, Faecalibacterium , and Phascolarctobacterium. PICRUSt analysis revealed that metabolic pathways of bacterial chemotaxis, butanoate metabolism, and synthesis and degradation of ketone bodies were enriched in the CHM1000 group. Spearman's correlation analysis indicated that the differentiated genera were significantly associated with the production performance, serum hormone, and gut barrier-related genes. Taken together, supplementation of CHM, especially at 1,000 mg/kg, could improve production performance by regulating reproductive hormones, antioxidant capacity, immunity, and intestinal health of broiler breeders, and maybe provide insights into its application as a potential feed additive to promote the performance of broiler breeders. [ABSTRACT FROM AUTHOR]

Numerical simulations were conducted to investigate the hydrogen dispersion and deflagration in an underground garage, considering potential leaks from hydrogen fuel cell vehicles. This study constructed a geometric model based on vehicles equipped with 70 MPa hydrogen tanks and considered various accident scenarios by adjusting the orifice diameter and ignition time. The results indicated that the peak overpressure was influenced by the equivalence ratio, hydrogen distribution and ignition time. Specifically, increasing orifice diameter led to greater overpressure when ignition occurred 0.1 s after release, while the opposite trend was observed for ignition at 1 s or 10 s. Temperature and overpressure were measured to evaluate the hazard distances, revealing inconsistencies between distances determined by pressure and temperature, with the latter yielding larger results. This research contributes to determining affected areas and safety distances in hydrogen accidents, provides references for the design of parking intervals and the development of emergency plans. • Modeled hydrogen dispersion and deflagrations in an underground garage. • Examined the effects of orifice diameters and ignition times on hydrogen explosion. • Investigated the factors influencing peak overpressure. • Pressure and temperature distribution determine different Explosion-affected areas. [ABSTRACT FROM AUTHOR]

This paper proposes a situational awareness‐based method of load control for safe electricity consumption by industrial users to assess the risk of regulated load equipment within industrial users and to ensure their safe use of electricity. Firstly, in the situational perception stage, collecting key parameters such as controllable equipment within industrial users, and constructing a risk indicator system for industrial users in the process of load control from four perspectives: the degree of controllability of load equipment, the correlation and mutual influence of load equipment, the uncertainty of self‐provided power and economic losses; Then, in the situational understanding and presentation stage, a risk assessment method that integrates a self‐learning weight model and a cloud model is proposed to analyze the risk of industrial users under control; Finally, in the situational guidance stage, based on the assessment results of the risk situational of industrial users, industrial users' safe electricity consumption is controlled in multiple rounds to achieve the objective of maintaining safe and reliable operation of the power grid by accepting control at a low‐risk level. The simulation of the industrial users of steel mills is used to verify the rationality and effectiveness of the method proposed here. [ABSTRACT FROM AUTHOR]

Abstract Coordination of water saving, yield and quality increase remains an attractive problem in agricultural production. Transporting irrigation water rich in micro-nano bubbles and fertilizers to the crop root zone through subsurface drip irrigation is expected to be an effective technique. In present study, cucumber and tomato cultivated in greenhouse were subjected to investigate the effects of three mixing ratios of micro-nano bubble water and groundwater combined with three different oxygation frequencies on irrigation water use efficiency, crop yield and quality. The results indicated that micro-nano bubble water oxygation could significantly increase their yield, irrigation water use efficiency and fruit quality (p < 0.05) without increasing the amounts of irrigation water and fertilizer, which demonstrated a cleaner production being friendly to soil ecological environment and sustainability using water saving technology. In the optimal treatment, the yield, irrigation water use efficiency, vitamin C, and soluble sugar of tomatoes increased by 16.9%, 16.9%, 17.7% and 39.2%, while those for cucumbers were 22.1%, 22.1%, 16.7% and 19.4%, respectively. This was mainly due to the increased soil oxygen content, longer retention time and stronger mass transfer ability of micro-nano bubbles. The recommended micro-nano bubble water oxygation mode for tomato plantation was the mixing ratio of 1:4 combined with the frequency of once every 5d, while that of cucumber being the mixing ratio of 1:0 with the same frequency with tomato. The study aims to provide a novel concept for the synergistic realization of water saving, yield increases and quality improvements in greenhouse crop production using subsurface drip irrigation. Highlights • Oxygaiton achieves water saving, yield increasing and quality improving. • Explaining mechanism of synergistic increase of vegetables yield and quality. • Proposing optimal oxygation pattern for cucumbers and tomatoes. [ABSTRACT FROM AUTHOR]

Simple Summary: Under modern intensive farming conditions, high-intensity production increases liver stress in laying hens. Liver damage also leads to decreased productivity and increased mortality in laying hens. As a byproduct of perilla seed oil, perilla seed meal has a certain anti-stress effect. In this experiment, a small amount of perilla seed meal was added to the diet. The results showed that perilla seed meal had a positive impact on antioxidant capacity, liver lipid metabolism and egg quality. The aim of this study was to investigate the effects of adding perilla seed meal (PSM) to the diet on reproductive performance, egg quality, yolk fatty acids, antioxidant capacity and liver lipid metabolism in breeding hens. A total of 192 31-week-old yellow-feathered hens were randomly divided into 4 treatments with 6 replicates of 8 birds for 8 weeks. The chickens were fed a typical corn–soybean meal diet containing 0% (control), 0.3%, 0.6%, and 1% PSM. The results showed that PSM can change the productivity of laying hens. Adding 0.6% PSM to the feed reduced the mortality rate of chickens. Adding 1% PSM improved the fertilization rate and hatching rate of chickens. Regarding egg quality, the albumen height and Haugh unit were improved in the 0.6% PSM group. The content of MUFAs and PUFAs in the egg yolk was increased in all the PSM groups, while SFAs were only increased in the 0.6% PSM group. Among the indicators related to lipid metabolism, serum GLU decreased in all the PSM groups. The 0.6% PSM group had a reduction in serum and liver TG, as well as reductions in serum LDL-C and ALT. The same results were observed for the abdominal fat percentage in the 0.6% PSM group. Liver lipid metabolism-associated gene expression of FAS and LXRα was decreased in all the PSM groups, and the mRNA expression of ACC and SREBP-1c was significantly reduced in the 0.6% PSM group. HE staining showed that the vacuoles in the liver tissue gradually decreased with increasing PSM doses, especially the 1% PSM dose. Lipid droplets with a similar trend were observed using Oil Red O staining. In the results of the antioxidant capacity test, the serum T-AOC was increased in the 0.6% and 1% PSM groups, and the SOD in both the serum and liver was significantly increased in all the PSM groups. The expression of antioxidant-related genes such as Nrf2, NQO-1, HO-1, CAT and GSH-Px was significantly upregulated in the 1% PSM group. In conclusion, the PSM diet improved the lipid metabolism and antioxidant capacity of breeding hens. PSM reduces mortality and improves fertilization and hatchability in the late laying period of chickens, resulting in greater benefits. We recommend adding 0.6% PSM to layer feed, which improves the physical condition of the hens and brings higher economic benefits. [ABSTRACT FROM AUTHOR]

Collaborative implementation of agricultural yield and fertilizer input has been a fundamental issue of sustainable and green production. Aerated drip irrigation (ADI) could potentially overcome the aforementioned conflict by enhancing crop yield, quality, and water/fertilizer use efficiency in a synergistic manner. However, its effects on the accumulation and distribution of plant biomass and nutrients are still elusive. Two consecutive years of ADI experiments were conducted to investigate the effects of irrigation frequency and fertilizer amount on agronomic performance. The results indicated that watermelon yield and IWUE were increased by 7.7–52.9% and 4.7–53.5%, respectively, compared to no-aerated (CK) treatment, and that there was a positive correlation between irrigation frequency and these increases. In addition, the application of ADI and increasing the frequency of irrigation increased the total dry matter and plant nutrient (N, P, K) contents. There was no discernible difference in watermelon performance when 20% of fertilizer was reduced in ADI conditions. ADI promoted plant biomass buildup and nutrient absorption and forced nutrient partitioning from vegetative organs (root, stem, leaf) to reproductive organs (fruit), resulting in synergistic benefits in crop yield, quality, and water/fertilizer use efficiency. ADI application once every 3 days with 80% traditional fertility application was suggested as a viable regulatory method for greenhouse watermelon. Our research sheds fresh light on the putative regulatory pathway of ADI's beneficial effects on crop agronomic performance, with potential implications for crop production strategy. [ABSTRACT FROM AUTHOR]

Herein, the effect of the power capacity, W net , on the performance of supercritical carbon dioxide (sCO 2) coal-fired power plants is investigated, with W net in the range of (100–1000) MWe. A comprehensive model was established wherein the sCO 2 cycle was coupled with the models of various components. For the sCO 2 boiler, the total thermal load was assigned to various heaters, and the pressure drop in each heater was calculated. Owing to the strong penalty effect of the pressure drop, both total flow mode (TFM) and partial flow mode (PFM) were applied to the sCO 2 boiler. A fluid network integrating the recuperator units was established for heat recovery in the system. A thermal-hydraulic model was proposed for a single unit and an integration package. Various losses were considered in the prediction of the efficiencies of axial flow turbines and compressors. The thermal efficiency increases, attains a maximum, and then decreases with increase of W net. This parabolic distribution results from the tradeoff between the decreased efficiency owing to pressure drops in the heat exchangers and the increased efficiency of the turbomachinery. The maximum thermal efficiency occurred at W net of 300 MWe and 200 MWe when using the PFM and TFM, respectively. Based on the results, PFM is found to eliminate the penalty effect of pressure drops. Our study provides guidelines for the design and operation of sCO 2 coal-fired power plants. [ABSTRACT FROM AUTHOR]

[Display omitted] • TWEAK pretreatment attenuates liver ischemia–reperfusion injury (IRI). • Knocking down Fn14 with AAV virus negates TWEAK's protective effect in mice. • TWEAK protects the liver from IRI by activating the HIPPO pathway. Hepatic ischemia–reperfusion injury (IRI) represents a formidable complication commonly linked with hemorrhagic shock, liver resection, and transplantation. This study aims to elucidate the role of Tumor Necrosis Factor-like Weak Inducer of Apoptosis (TWEAK) in the pathogenesis of hepatic I/R injury and to delineate the underlying mechanisms involved. Utilizing a hypoxia-reoxygenation model in human liver organoids (HLOs) alongside a murine model of warm ischemia–reperfusion injury, we systematically investigated the interplay between TWEAK, its receptor Fn14, and the HIPPO signaling pathway. Our findings indicate that TWEAK pretreatment significantly mitigates IRI in murine livers as well as hypoxia/reoxygenation injury in HLOs. Notably, administration of adeno-associated virus (AAV) to knock down Fn14 abrogated the protective effects of TWEAK in the murine model. Transcriptome sequencing analysis revealed that the interaction between TWEAK and Fn14 enhances cellular resistance to IRI by activating the HIPPO signaling pathway. Overall, TWEAK emerges as a promising therapeutic target for mitigating hepatic I/R injury, potentially improving outcomes in liver transplantation. [ABSTRACT FROM AUTHOR]

Immunoglobulin G (IgG) exhibits potent antiviral, antibacterial, and immunological activities. The digestion process and bioavailability of IgG are often a concern. Dietary hydrocolloids are crucial for regulating healthy digestion and the bioavailability of protein as functional components. Understanding the effects of dietary hydrocolloids on the digestive kinetics of IgG is requisite. Herein, the pepsin and trypsin digestion of IgG was investigated using ordered porous layer interferometry (OPLI). The real-time variation in the interference spectral shift reflected by OPLI can be converted into changes in the optical thickness (OT) to obtain a degradation kinetics curve. The impact of dietary hydrocolloids, including alginic acid sodium salt (ALG), polydextrose (PD), and konjac glucomannan (KG), on IgG degradation was evaluated using OPLI. The results demonstrated that ALG significantly inhibited the degradation of IgG by pepsin under acidic conditions, whereas the addition of PD increased the Michaelis–Menten constant for IgG degradation by trypsin. Notably, this dependence is not based on the hydrocolloid viscosity, but relies more on the electrical properties. The study enhances our understanding of how hydrocolloids affect IgG digestion and could provide valuable insights into preserving IgG activity and facilitating the development of oral drugs or health products related to IgG. [Display omitted] • The OPLI system was developed for the analysis of IgG peptic and tryptic digestions; • The system was used to determine the Michaelis–Menten constant and reaction rate; • The effects of dietary hydrocolloids on IgG digestion were compared; • The introduction of dietary hydrocolloids impacts the Michaelis–Menten constant of IgG- digestive enzymes. • The OPLI may provide a method for assessing the impact of adjuvants on the IgG metabolic process. [ABSTRACT FROM AUTHOR]

Clove (Syzygium aromaticum) is one of the most commonly used spices in stewed beef to enrich and improve its aroma during the stewing process. Gas chromatography ion mobility spectroscopy (GC-IMS), Q Exactive GC-Orbitrap-MS-O (QE-GC–MS/O), combined with sensory evaluation were employed to analyze the flavor endowment of aroma-active compounds in cloves to stewed beef. A total of 173 volatiles were identified in the clove powder (CP), stewed beef with clove (SBC), and stewed beef with salt (SBS), of which 21 volatiles were considered as aroma-active compounds. The concept of flavor endowment of aroma-active compounds in cloves was defined innovatively, and the endowment rate values (ERVs) of stewed beef were calculated. Nine aroma-active compounds in cloves were found to have a flavor endowment effect on stewed beef, while the terpenoids exhibited high ERVs. Despite the low ERV of eugenol, it still significantly impacted the aroma profile of SBC due to its high odor activity value (OAV) and flavor dilution (FD) factor. These volatiles offered mainly the clove, herbal, anise, and floral odor to stewed beef, which was also confirmed by sensory evaluation. These findings indicated that the terpenoids, phenolics and ethers in cloves had a significant influence on the overall aroma of stewed beef through the flavor endowment, which contributed to the precise use of cloves and improved the aroma of stewed beef. [Display omitted] • 173 odorants were verified, 21 volatiles were confirmed as aroma-active compounds. • SBC contained aroma-active compounds in both CP and SBS. • ERVs of aroma-active compounds in cloves were calculated firstly. • 9 volatiles exhibited the flavor endowment effect and terpenoids showed high ERVs. • Despite the low ERV of eugenol, it still had a severe impact on the aroma profile. [ABSTRACT FROM AUTHOR]

Let F q be a finite field of q = p k elements. For any z ∈ F q , let A n (z) and B n (z) denote the number of solutions of the equations x 1 3 + x 2 3 + ⋯ + x n 3 = z and x 1 3 + x 2 3 + ⋯ + x n 3 + z x n + 1 3 = 0 respectively. Recently, using the generator of F q ⁎ , Hong and Zhu gave the generating functions ∑ n = 1 ∞ A n (z) x n and ∑ n = 1 ∞ B n (z) x n. In this paper, we give the generating functions ∑ n = 1 ∞ A n (z) x n and ∑ n = 1 ∞ B n (z) x n immediately by the coefficient z. Moreover, we gave the formulas of the number of solutions of equation a 1 x 1 3 + a 2 x 2 3 + a 3 x 3 3 = 0 and our formulas are immediately determined by the coefficients a 1 , a 2 and a 3. These extend and improve earlier results. [ABSTRACT FROM AUTHOR]

This paper introduces the Hopsworks platform to the entire Earth Observation (EO) data community and the Copernicus programme. Hopsworks is a scalable data-intensive open-source Artificial Intelligence (AI) platform that was jointly developed by Logical Clocks and the KTH Royal Institute of Technology for building end-to-end Machine Learning (ML)/Deep Learning (DL) pipelines for EO data. It provides the full stack of services needed to manage the entire life cycle of data in ML. In particular, Hopsworks supports the development of horizontally scalable DL applications in notebooks and the operation of workflows to support those applications, including parallel data processing, model training, and model deployment at scale. To the best of our knowledge, this is the first work that demonstrates the services and features of the Hopsworks platform, which provide users with the means to build scalable end-to-end ML/DL pipelines for EO data, as well as support for the discovery and search for EO metadata. This paper serves as a demonstration and walkthrough of the stages of building a production-level model that includes data ingestion, data preparation, feature extraction, model training, model serving, and monitoring. To this end, we provide a practical example that demonstrates the aforementioned stages with real-world EO data and includes source code that implements the functionality of the platform. We also perform an experimental evaluation of two frameworks built on top of Hopsworks, namely Maggy and AutoAblation. We show that using Maggy for hyperparameter tuning results in roughly half the wall-clock time required to execute the same number of hyperparameter tuning trials using Spark while providing linear scalability as more workers are added. Furthermore, we demonstrate how AutoAblation facilitates the definition of ablation studies and enables the asynchronous parallel execution of ablation trials. [ABSTRACT FROM AUTHOR]

Abstract: Using the Mann iteration in an infinite-dimensional Hilbert space, only weak convergence theorems are obtained even for nonexpansive mappings. The purpose of this paper is to modify the Mann iteration and prove the strong convergence theorems without any compactness assumption for asymptotically quasi--nonexpansive mappings. Moreover, strong convergence theorems are also established in a uniformly smooth and strictly convex Banach space with the Kadec–Klee property. [Copyright &y& Elsevier]

Intense terahertz (THz) electromagnetic fields have been utilized to reveal a variety of extremely nonlinear optical effects in many materials through nonperturbative driving of elementary and collective excitations. However, such nonlinear photoresponses have not yet been obeserved in light-emitting diodes (LEDs), let alone employing them as fast, cost-effective, compact, and room-temperature-operating THz detectors and cameras. Here, we report ubiquitously available LEDs exhibiting photovoltaic signals of ~0.8 V and ~2 ns response time with signal-to-noise ratios of ~1300 when being illuminated by THz field strengths ~240 kV/cm. We also demonstrated THz-LED detectors and camera prototypes. These unorthodox THz detectors exhibited high responsivities (>1 kV/W) with response time four orders of magnitude shorter than those of pyroelectric detectors. The mechanism was attributed to THz-field-induced impact ionization and Schottky contact. These findings not only help deepen our understanding of strong THz field-matter interactions but also contribute to the applications of strong-field THz diagnosis. Interest in the exploration of non-perturbative nonlinear optical phenomena driven by intense terahertz fields has seen a leap forwards with the recent development in femtosecond laser-based table-top sources for strong THz radiation. The authors present intense THz-field-induced effects in ubiquitously available LEDs illuminated by strong THz pulses, paving the way to their use in detecting and imaging intense THz radiation. [ABSTRACT FROM AUTHOR]

Highlights • A thermal analysis database for analyzing thermal runaway of Li-ion batteries. • Three characteristic temperatures are concluded from statistics of the database. • The mechanisms of the origin of characteristic temperatures are revealed. • The internal short circuit is not the major heat source during thermal runaway. • The thermal runaway is caused by the redox reactions between cathode and anode. Abstract The cause of the thermal runaway problem in lithium-ion batteries problem is still unclear. This bottle neck has prevented increases in the energy density of lithium-ion batteries, of which the technology may stagnate for many years. The diversity of cell chemistries makes this problem more difficult to analyze. This paper reports work conducted by Tsinghua University and its collaborators into the establishment of a thermal analysis database. The database contains comparable data for different kinds of cells using accelerating rate calorimetry and differential scanning calorimetry. Three characteristic temperatures are summarized based on the common features of the cells in the database. In attempting to explain the mechanisms that are responsible for the characteristic temperature phenomena, we have gained new insight into the thermal runaway mechanisms of lithium-ion batteries. The results of specially designed tests show that the major heat source during thermal runaway for cells with Li(Ni x Co y Mn z)O 2 cathode and carbon-based anode is the redox reaction between the cathode and anode at high temperature. In contrast to what is commonly thought, internal short circuits are responsible for very little of the total heat generated during thermal runaway, although they contribute to triggering the redox reactions after the separator collapses. The characteristic temperatures provide comparable parameters that are useful in judging the safety of a newly designed battery cell. Moreover, the novel interpretation of the thermal runaway mechanism provide guidance for the safety modelling and design of lithium-ion batteries. [ABSTRACT FROM AUTHOR]

A potential tool for authenticating Tibetan pork based on species and geographical origins was investigated by isotopic and multi-elemental fingerprints to compare Tibetan pork and plain pork from various regions in China. In this study, carbon, nitrogen, hydrogen and oxygen isotope compositions and concentrations of 50 elements of a total of 93 pork samples (Tibetan pork from Tibet and Sichuan, Jilin pork from Jilin and DLY pork from Liaoning) were determined and subjected to multivariate analysis, including linear discriminant analysis (LDA), partial least squares discriminant analysis (PLS-DA) and correlation analysis. The trace elements Fe, Cu, Rb, Mo, Cs, Ir, Co, Sr, Sm and four stable isotopes were determined as potential markers for identifying Tibetan pork. The discriminant model revealed good discrimination among pork samples based on species and regions, and the high accuracies of K-fold cross-validation (95.74% and 97.84%) indicated the reliability and stability of classification models. This study has demonstrated the efficiency of isotopic and multi-elemental technology in identifying Chinese high-altitude indigenous pigs. • Tibetan pork from different regions was discriminated compared to plain pork. • Multi-elements and stable isotopes combined with chemometrics as effective tools. • High cross-validation accuracy for tracing species and origins. • Fe, Cu and δ13C are indicators for discriminating high-altitude pork samples. [ABSTRACT FROM AUTHOR]

Abstract: The Isomorphism of Polynomials (IP) is one of the most fundamental problems in multivariate public key cryptography (MPKC). In this paper, we introduce a new framework to study the counting problem associated to IP. Namely, we present tools of finite geometry allowing to investigate the counting problem associated to IP. Precisely, we focus on enumerating or estimating the number of isomorphism equivalence classes of homogeneous quadratic polynomial systems. These problems are equivalent to finding the scale of the key space of a multivariate cryptosystem and the total number of different multivariate cryptographic schemes respectively, which might impact the security and the potential capability of MPKC. We also consider their applications in the analysis of a specific multivariate public key cryptosystem. Our results not only answer how many cryptographic schemes can be derived from monomials and how big the key space is for a fixed scheme, but also show that quite many HFE cryptosystems are equivalent to a Matsumoto–Imai scheme. [Copyright &y& Elsevier]

Although selenium (Se) is an essential microelement for humans and animals, it is a potentially toxic element due to its bioaccumulation potential. In this study, Se fertilizer was supplied in a greenhouse vegetable (cucumber) plantation using an innovative system consisting of nanobubbles (NB_Se) and compared to that under conventional conditions of fertigation (C_Se) with six doses. The results revealed that NB_Se significantly reduced soil Se accumulation (38%−144%) and increased cucumber Se content compared with the C_Se treatments at the same Se dose. NB_Se significantly lowered the soil bacterial diversity, with an initial increase and then decrease with the Se doses. Bacterial associations and potential keystone taxa also differed between the NB_Se and C_Se. The greater abundance of oxidizing bacteria (indicated by the function composition of bacterial community) and the improved soil redox environment created by NBs sustained more available Se for plants, leading to a reduction in soil Se residual and an increase in the plant Se content. Our results highlight the feasibility and efficiency of NB_Se and demonstrate the important implications of Se for the maintenance of soil health and sustainability. [Display omitted] • Se fertigation with nanobubble (NB_Se) effectively reduced soil Se residual and increased crop Se content. • The effects of NB_Se on plant and soil were associated with variations of bacterial community and edaphic properties. • Dosage of 0.72 kg·ha−1 of selenite fertigated with NBs is proposed an appropriate strategy for cucumber plantations. [ABSTRACT FROM AUTHOR]

A Correction to this paper has been published: https://doi.org/10.1038/s42005-021-00592-6 [ABSTRACT FROM AUTHOR]

Background: Assay of Transposase Accessible Chromatin Sequencing (ATAC-seq) is a high-throughput sequencing technique that detects open chromatin regions across the genome. These regions are critical in facilitating transcription factor binding and subsequent gene expression. Herein, we utilized ATAC-seq to identify key molecular targets regulating the development and progression of hepatocellular carcinoma (HCC) and elucidate the underlying mechanisms., Methods: We first compared chromatin accessibility profiles between HCC and normal tissues. Subsequently, RNA-seq data was employed to identify differentially expressed genes (DEGs). Integrating ATAC-seq and RNA-seq data allowed the identification of transcription factors and their putative target genes associated with differentially accessible regions (DARs). Finally, functional experiments were conducted to investigate the effects of the identified regulatory factors and corresponding targets on HCC cell proliferation and migration., Results: Enrichment analysis of DARs between HCC and adjacent normal tissues revealed distinct signaling pathways and regulatory factors. Upregulated DARs in HCC were enriched in genes related to the MAPK and FoxO signaling pathways and associated with transcription factor families like ETS and AP-1. Conversely, downregulated DARs were associated with the TGF-β, cAMP, and p53 signaling pathways and the CTCF family. Integration of the datasets revealed a positive correlation between specific DARs and DEGs. Notably, PRPF3 emerged as a gene associated with DARs in HCC, and functional assays demonstrated its ability to promote HCC cell proliferation and migration. To the best of our knowledge, this is the first report highlighting the oncogenic role of PRPF3 in HCC. Furthermore, ZNF93 expression positively correlated with PRPF3, and ChIP-seq data indicated its potential role as a transcription factor regulating PRPF3 by binding to its promoter region., Conclusion: This study provides a comprehensive analysis of the epigenetic landscape in HCC, encompassing both chromatin accessibility and the transcriptome. Our findings reveal that ZNF93 promotes the proliferation and motility of HCC cells through transcriptional regulation of a novel oncogene, PRPF3., (© 2024. The Author(s).)

Purpose: Ischemic retinopathy is the major cause of vision-threatening conditions. Inflammation plays an important role in the pathogenesis of ischemic retinopathy. Formyl peptide receptor 1 (FPR1) has been reported to be implicated in the regulation of inflammatory disorders. However, the role of FPR1 in the progression of ischemic retinal injury has not been fully explained., Methods: The activation of FPR1 was measured by real-time PCR and western blotting in the retina of OIR. The effect of FPR1 on the expression of inflammatory cytokines and relevant pro-angiogenic factors was assessed between wild-type and FPR1-deficiency OIR mice. The impact of FPR1 on retinal angiogenesis was evaluated through quantifying retinal vaso-obliteration and neovascularization between FPR1 +/+ and FPR1 -/- OIR mice. At last, the neuronal effect of FPR1 on the ischemic retina was investigated by ERG between wild-type and FPR1-deficient OIR mice., Results: The expression of FPR1 significantly increased in the retina of OIR. Furthermore, FPR1 deficiency downregulated pro-inflammatory and pro-angiogenic factors. Ablation of FPR1 suppressed the retinal pathological neovascularization and promoted reparative revascularization, ultimately improving retinal neural function after ischemic injury., Conclusion: In ischemic retinopathy, FPR1 aggravates inflammation and inhibits reparative angiogenesis to exacerbate neuronal dysfunction.

Objective: The causative role of gut microbiota in pancreatitis remains unknown. This study aimed to investigate potential causal associations between gut microbiota and pancreatitis, using bidirectional Mendelian randomization (MR) analysis., Methods: We analyzed genome-wide association study (GWAS) summary statistics for gut microbiota (211 taxa from gut microbiota, n  = 18 340) and two types of pancreatitis, namely acute pancreatitis (AP, 5509 cases and 301 383 controls) and chronic pancreatitis (CP, 3002 cases and 301 383 controls). A reverse MR analysis was also performed to assess the possibility of reverse causation., Results: Nine features (one family + eight genera) showed a causal association with AP. According to inverse-variance weighted (IVW) estimates, phylum Firmicutes ( P  = 4.10 × 10 -2 ), genus Erysipelatoclostridium ( P  = 4.80 × 10 -2 ), genus Flavonifractor ( P  = 4.10 × 10 -2 ), genus Methanobrevibacter ( P  = 3.40 × 10 -2 ), and genus Prevotella9 ( P  = 4.60 × 10 -2 ) were found to have a protective effect on AP. Additionally, genus Eubacteriumeligensgroup ( P  = 4.10 × 10 -2 ), genus Eubacteriumfissicatenagroup ( P  = 4.00 × 10 -3 ), genus Coprococcus3 ( P  = 4.10 × 10 -2 ), and genus Haemophilus ( P  = 4.60 × 10 -2 ) exhibited a positive correlation with AP. Four features (two families + two genera) were causally associated with CP. IVW results also confirmed that family Clostridiaceae1 ( P  = 3.30 × 10 -2 ), genus LachnospiraceaeFCS020group ( P  = 4.60 × 10 -2 ), and genus Prevotella9 ( P  = 1.90 × 10 -2 ) were protective factors for CP, whereas the presence of family Victivallaceae ( P  = 2.60 × 10 -2 ) correlated with CP risk. No causal effects of pancreatitis (AP or CP) on these gut microbiota taxa were found in the reverse MR analysis., Conclusion: This study confirms a potential causal relationship between gut microbiota and pancreatitis, highlighting the gut microbiota-pancreas axis in the pathogenesis of pancreatitis., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Colloidal crystal nanomaterials have been proven to be valuable substrates for optical-based biosensing due to their ordered macroporous nanostructure and brilliant optical properties. In this work, silica colloidal crystal (SCC) thin films, as well as polystyrene-SCC composite films and inverse opal (IO) polystyrene films fabricated using SCC as templates, are investigated for their application as substrate materials in optical interferometric biosensors. The SCC films formed by the self-assembly of silica colloidal crystals have the most densely packed nano-3D structure, also known as the opal structure. IO films are fabricated by filling the opal pores of SCC with polystyrene and then removing the template, resulting in an interconnected nano-3D ordered macroporous structure, as indicated by the name inverse opal. The performance of the three materials was compared and discussed based on an ordered porous layer interferometry optical platform, focusing on refractive index response, protein adsorption response, and biomolecular interaction response. These results could potentially offer innovative material support for the advancement of label-free optical biosensors, which can be used for more biological/biochemical/biomolecular reaction monitoring studies.

Background: The tumor microenvironment (TME) exerts profound effects on tumor progression and therapeutic efficacy. In hepatocellular carcinoma (HCC), the TME is enriched with cancer-associated fibroblasts (CAFs), which secrete a plethora of cytokines, chemokines, and growth factors that facilitate tumor cell proliferation and invasion. However, the intricate architecture of the TME in HCC, as well as the mechanisms driving interactions between tumor cells and CAFs, remains largely enigmatic., Methods: We analyzed 10 spatial transcriptomics and 12 single-cell transcriptomics samples sourced from public databases, complemented by 20 tumor tissue samples from liver cancer patients obtained in a clinical setting., Results: Our findings reveal that tumor cells exhibiting high levels of SPP1 are preferentially localized adjacent to hepatic stellate cells (HSCs). The SPP1 secreted by these tumor cells interacts with the CD44 receptor on HSCs, thereby activating the PI3K/AKT signaling pathway, which promotes the differentiation of HSCs into CAFs. Notably, blockade of the CD44 receptor effectively abrogates this interaction. Furthermore, in vivo studies demonstrate that silencing SPP1 expression in tumor cells significantly impairs HSC differentiation into CAFs, leading to a reduction in tumor volume and collagen deposition within the tumor stroma., Conclusions: This study delineates the SPP1-CD44 signaling axis as a pivotal mechanism underpinning the interaction between tumor cells and CAFs. Targeting this pathway holds potential to mitigate liver fibrosis and offers novel therapeutic perspectives for liver cancer management., (© 2024. The Author(s).)

Heparan sulfate (HS) meshes within the glycocalyx on cell surfaces have protein recognition ability and have been crucial for gaining insights into vital bioprocesses, such as viral infection, cancer development, and inflammation. The protein recognition ability is determined by the mesh property and compositions of HS, although little attention has been paid to the effect of the mesh property on the recognition. An in-depth specificity study of protein-HS-mesh recognition is essential to illustrate related biological functions. Here, ordered porous layer interferometry is applied to study the interaction behavior between mimicked HS meshes and lactoferrin (LF). Our work aimed at mimicking HS meshes with heparin, a widely used substitute of HS, and analyzing the specific LF-heparin-mesh interaction mechanism by inhibiting the nonspecific interaction in a blended sample. We found that the counterion release-based electrostatic interaction is dominant in the specific LF-heparin-mesh recognition. Furthermore, we detail the contributions of nonspecific and specific interactions to the recognition. We illustrate that the concentrated charge distribution of the proteins appears to be primarily related to this robust, specific recognition.

Fibrinolytic activity assay is particularly important for the detection, diagnosis, and treatment of cardiovascular disease and the development of fibrinolytic drugs. A novel efficacious strategy for real-time and label-free dynamic detection of fibrinolytic activity based on ordered porous layer interferometry (OPLI) was developed. Fibrin or a mixture of fibrin and plasminogen (Plg) was loaded into the highly ordered silica colloidal crystal (SCC) film scaffold to construct a fibrinolytic response interference layer to measure fibrinolytic activity with different mechanisms of action. Fibrinolytic enzyme-triggered fibrinolysis led to the migration of interference fringes in the interferogram, which could be represented by optical thickness changes (ΔOT) tracked in real time by the OPLI system. The morphology and optical property of the fibrinolytic response interference layer were characterized, and the Plg content in the fibrinolytic response interference layer and experimental parameters of the system were optimized. The method showed adequate sensitivity for the fibrinolytic activity of lumbrokinase and streptokinase, with wide linear ranges of 12-6000 and 10-2000 U/mL, respectively. Compared with the traditional fibrin plate method, it has a lower detection limit and higher linearity. The whole kinetic process of fibrinolysis by these two fibrinolytic drug models was recorded in real time, and the Michaelis constant and apparent kinetic parameters were calculated. Importantly, some other blood proteins were less interfering with this system, and it showed reliability in fibrin activity detection in real whole blood samples. This study established a better and more targeted research method of in vitro fibrinolysis and provided dynamic monitoring data for the analysis of fibrinolytic activity of whole blood.

We report the femtosecond time-resolved dynamics of relativistic electron pulses in ultraintense laser-foil interactions, by characterizing the terahertz self-radiation with single-shot ultrabroadband interferometry. Experimental measurements together with theoretical modeling reveal that the electron pulses inherit the duration of the driving laser pulse. We also visualize the electron recirculation dynamics, where electrons remain trapped inside the self-generated electrostatic potential well and rebound back and forth around the thin foil for hundreds of femtoseconds. Our results not only demonstrate an in situ, real-time metrology scheme for electron bursts, but also have important implications for understanding and manipulating the time-domain properties of laser-driven particle and radiation sources.

Al-based foams have drawn increasing attention from industry due to their integration of structure and functional properties. However, large-sized Al-based foams still cannot be homogeneously strengthened by long-time aging due to their low thermal conductivity. In this study, we proposed an age-hardening approach that was applied in large-sized Al-0.16Sc-0.17Zr (wt.%) foams via micro-alloying with Zr and Ti compared with Al-0.21Sc foams; it not only achieved homogeneous strength by long-term aging but also reduced the cost of the alloy by substituting Zr and Ti for the more expensive Sc content. The results show that the Al 3 (Sc, Zr, Ti) phase with a core-shell structure as a crucial precipitation strengthening phase by micro-alloying with Zr and Ti was less prone to coarsening after a prolonged aging heat treatment. Therefore, the yielding strength of Al-Sc foam micro-alloying with Zr and Ti remained almost unchanged after a maximum aging time of 1440 h due to less coarsening precipitate, which is consistent with the results of mechanical experiments. These findings provide a new way for the heat treatment strengthening of large-sized Al-based foams, thus promoting their industrial applications.

To investigate the effects of conformational changes and thermal degradation of myofibrillar protein (MP), sarcoplasmic protein (SP), and collagen (CO) on the binding ability for aroma compounds during heating. Using SDS-PAGE, HPLC, and LC-MS/MS, a consistent rise in the total concentration of peptides and free amino acids formed by the thermal degradation of proteins was observed. The surface hydrophobicity, total sulfhydryl content, particle size, and secondary structure content of proteins changed significantly over time. Furthermore, the aroma binding ability of proteins was determined by gas chromatography-mass spectrometry. The results revealed an increase in binding ability during 5 or 10 min of heating due to protein unfolding and the accumulation of degradation products. However, the binding ability decreased due to protein aggregation with prolonged heating. Notably, all proteins exhibited strong affinity toward ( E )-2-octenal, ( E , E )-2,4-decadienal, 2-methyl-3-furanthiol, and dimethyl trisulfide. The binding ability of MP and SP was similar but differed significantly from that of CO, which had lower binding ability for hexanal, ( E )-2-octenal, ( E , E )-2,4-decadienal, and dimethyl trisulfide compared to MP and SP.

Forgetting is an important phenomenon in working memory. Understanding forgetting could offer a window into the very core of cognition. According to the removal hypothesis, forgetting occurs because distractors interfere with memory traces, and this interference can be actively removed. In the decay refresh hypothesis, forgetting occurs because the memory trace decays with time and can be recovered by refreshment. In the present study, a multidistractor complex span task was designed to directly test the cause of forgetting. The free time after a particular distractor and the total free time were manipulated, with the priming effect of the repeated distractor as a detector. The results showed that a longer free time after the first distractor weakened the priming effect, but a longer total free time had no influence. These results supported the removal hypothesis. The forgetting of distractors was not due to decay but due to removal. The trace of a distractor would be removed when it stops being processed. The removal of a distractor occurs when individuals have free time directly after it, whereas the free time after another distractor is not beneficial.

Background: Traditional reconstruction techniques have certain limitations in balancing image quality and reducing radiation dose. The deep learning image reconstruction (DLIR) algorithm opens the door to a new era of medical image reconstruction. The purpose of the study was to evaluate the DLIR images at 1.25 mm thickness in balancing image noise and spatial resolution in low-dose abdominal computed tomography (CT) in comparison with the conventional adaptive statistical iterative reconstruction-V at 40% strength (ASIR-V40%) at 5 and 1.25 mm., Methods: This retrospective study included 89 patients who underwent low-dose abdominal CT. Five sets of images were generated using ASIR-V40% at a 5 mm slice thickness and 1.25 mm (high-resolution) with DLIR at 1.25 mm using 3 strengths: low (DLIR-L), medium (DLIR-M), and high (DLIR-H). Qualitative evaluation was performed for image noise, artifacts, and visualization of small structures, while quantitative evaluation was performed for standard deviation (SD), signal-to-noise ratio (SNR), and spatial resolution (defined as the edge rising slope)., Results: At 1.25 mm, DLIR-M and DLIR-H images had significantly lower noise (SD in fat: 14.29±3.37 and 9.65±3.44 HU, respectively), higher SNR for liver (3.70±0.78 and 5.64±1.20, respectively), and higher overall image quality (4.30±0.44 and 4.67±0.40, respectively) than did the respective values in ASIR-V40% images (20.60±4.04 HU, 2.60±0.63, and 3.77±0.43; all P values <0.05). Compared with the 5 mm ASIR-V40% images, the 1.25 mm DLIR-H images had lower noise (SD: 9.65±3.44 vs. 13.63±10.03 HU), higher SNR (5.64±1.20 vs. 4.69±1.28), and higher overall image quality scores (4.67±0.40 vs. 3.94±0.46) (all P values <0.001). In addition, DLIR-L, DLIR-M, and DLIR-H images had a significantly higher spatial resolution in terms of edge rising slope (59.66±21.46, 58.52±17.48, and 59.26±13.33, respectively, vs. 33.79±9.23) and significantly higher image quality scores in the visualization of fine structures (4.43±0.50, 4.41±0.49, and 4.38±0.49, respectively vs. 2.62±0.49) than did the 5 mm ASIR-V40 images., Conclusions: The 1.25 mm DLIR-M and DLIR-H images had significantly reduced image noise and improved SNR and overall image quality compared to the 1.25 mm ASIR-V40% images, and they had significantly improved the spatial resolution and visualization of fine structures compared to the 5 mm ASIR-V40% images. DLIR-H images had further reduced image noise compared with the 5 mm ASIR-V40% images, and DLIR-H was the most effective technique at balancing the image noise and spatial resolution in low-dose abdominal CT., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-22-353/coif). JL is an employee of GE Healthcare. The article does not conflict with the company’s declaration of interest. The other authors have no conflicts of interest to declare., (2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.)

The current study focused on the effects of Shenling Baizhu San (SLBZS) fermented by Lactobacillus plantarum ( L . plantarum ) on gut microbiota, antioxidant capacity, and intestinal barrier function of yellow-plumed broilers. Our results showed that the content of ginsenoside Rb1 was the highest when SLBZS were inoculated with 3% L . plantarum and fermented at 28°C for 24 h. One-day-old male broilers were divided into five treatment groups. Treatment consisted of a basal diet as a control (Con), 0.1% unfermented SLBZS (U-SLBZS), 0.05% fermented SLBZS (F-SLBZS-L), 0.1% fermented SLBZS (F-SLBZS-M), and 0.2% fermented SLBZS (F-SLBZS-H). On days 14, 28, and 42, six chickens from each group were randomly selected for blood collection and tissue sampling. The results showed that the addition of 0.1% fermented SLBZS could significantly increase average daily feed intake (ADFI) and average daily gain (ADG), and decrease feed conversion ratio (FCR) of broilers. The addition of 0.1 and 0.2% fermented SLBZS significantly increased the lymphoid organ index of broilers on day 28 and 42. The addition of 0.1 and 0.2% fermented SLBZS could improve the antioxidant capacity of broilers. Moreover, the addition of 0.1 and 0.2% fermented SLBZS could significantly increase the villus height/crypt depth of the ileum, and significantly increase the expression of tight junction. In addition, fermentation of SLBZS increase the abundance of Coprococcus, Bifidobacterium and Bilophila in the gut of broilers. These results indicate that the supplementation of fermented SLBZS in the diet could improve the growth performance, lymphoid organ index, antioxidant capacity, and positively affect the intestinal health of broilers., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Lv, Ma, Zhang, Wang, Huang, He, Du and Guo.)

Ratio sensing is a fundamental biological function observed in signal transduction and decision making. In the synthetic biology context, ratio sensing presents one of the elementary functions for cellular multi-signal computation. To investigate the mechanism of the ratio-sensing behavior, we explored the topological characteristics of biological ratio-sensing networks. With exhaustive enumeration of three-node enzymatic and transcriptional regulatory networks, we found that robust ratio sensing was highly dependent on network structure rather than network complexity. Specifically, a set of seven minimal core topological structures and four motifs were deduced to be capable of robust ratio sensing. Further investigations on the evolutionary space of robust ratio-sensing networks revealed highly clustered domains surrounding the core motifs which suggested their evolutionary plausibility. Our study revealed the network topological design principles of ratio-sensing behavior and provided a design scheme for constructing regulatory circuits with ratio-sensing behavior in synthetic biology.

The influence of feedback on performance is a topic of ongoing debate, with some previous studies finding it to be ineffective, while others have discovered that it can be helpful or harmful. One possible reason for these inconsistent results may be that feedback can create a conflict between a person's beliefs and the sensory information they receive. In the present study, we used a Vernier discrimination task to examine the influence of biased feedback on performance, as this type of feedback is most likely to create conflict. Biased feedback refers to feedback that does not align with the subjects' choices. The Vernier discrimination task is a type of psychophysical task that is often used to measure an individual's ability to perceive differences in the position or orientation of two visual stimuli. The task involves presenting two stimuli, one of which is slightly offset from the other, and asking the individual to determine the direction and magnitude of the offset. In Experiment 1, feedback was provided after each trial using large-offset verniers as guidance. The large-offset verniers always received correct feedback, but the small and medium-offset verniers might receive biased feedback. In Experiment 2, feedback was provided after each block of eight verniers. In Experiment 3, we removed the large offset vernier to investigate the influence of block feedback on the signal and noise. The results showed that the accuracy for the target vernier decreased due to biased feedback in both the trial feedback (Experiment 1) and the block feedback (Experiment 2). However, in Experiments 1 and 2, performance improved when feedback was absent. Moreover, if the difference between the two types of stimuli is great, the individual will engage in encoding learning rather than decision learning (Experiments 1 and 2). If the discrimination between the two types of stimuli is low, an individual's ability to discriminate noise is more vulnerable to the influence of biased feedback than the ability to discriminate the signal (Experiment 3). These results are discussed in relation to the mechanism of biased feedback, the process of encoding learning, the monitoring of internal feedback, and the generalization of false decisions., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Yang, Xu, Zhong and Wang.)

Rationale: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has exhibited great advantages in rapid analysis of metabolites. However, the influence of lipid fragments generated by in-source fragmentation (ISD) and/or post-source fragmentation (PSD) on the accurate qualification and quantification of metabolites has not been fully demonstrated., Methods: Phospholipid standards and serum extract were analyzed by MALDI MS with both TiO 2 nanoparticle (TiO 2 NP) and 2,5-DHB matrices to illustrate the structures of lipid fragments and their influence on the qualitative and quantitative analysis of metabolites in biological samples. Monophasic and biphasic extraction methods were also compared for their efficiency in removing potential interferents., Results: The fragment ions derived from the phosphocholine head group of phosphatidylcholines (PC) interfere with peaks of low molecular weight (LMW) metabolites at both the MS and MS 2 levels. The biphasic extraction system with methanol/chloroform very efficiently removed the interference from PC fragments, and the metabolites choline and carnitine in serum were directly and accurately quantified by MALDI MS by using this biphasic extraction., Conclusions: The phospholipids could produce fragment ions through ISD and PSD in MALDI MS with both nanoparticle and organic matrices. The fragments exerted influence on the qualification and qualification of metabolites in serum. By choosing the proper extraction method, the interference from lipid fragments could be efficiently alleviated., (© 2022 John Wiley & Sons Ltd.)