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Chromones are a class of naturally occurring compounds, renowned for their diverse biological activities with significant relevance in medicine and biochemistry. This study marks the first analysis of rotational spectra of both the chromone monomer and its monohydrate through Fourier transform microwave spectroscopy. The observation of nine mono-substituted 13C isotopologues facilitated a semi-experimental determination of the equilibrium structure of the chromone monomer. In the case of chromone monohydrate, two distinct isomers were identified, each characterized by a combination of O–H⋯O and C–H⋯O hydrogen bonds involving the chromone's carbonyl group. This study further delved into intermolecular non-covalent interactions, employing different theoretical approaches. The relative population ratio of the two identified isomers was estimated to be about 2:1 within the supersonic jet. [ABSTRACT FROM AUTHOR]

Microwave absorbing materials play an increasingly important role in modern electronic warfare technology for enhancing electromagnetic compatibility and suppressing electromagnetic interference. High‐entropy ceramics (HECs) possess extraordinary physical and chemical properties, and more importantly, the high tunability of multi‐component HECs has brought new opportunities to microwave absorbing materials. Rich crystallographic distortions and multi‐component occupancies enable HECs to have highly efficient microwave absorption properties, excellent mechanical properties, and thermal stability. Therefore, the structural advantages of HECs are integrated from comprehensive perspectives, emphasizing on the role of dielectric and magnetic properties in the absorption phenomenon. Strategies are proposed to improve the microwave absorption capacity of HECs, including composition optimization, microstructure engineering, and post‐treatment technology. Finally, the problems and obstacles associated with high‐entropy materials (HEMs) research are discussed. The innovative design concepts of high‐entropy microwave absorbing ceramics are highlighted. [ABSTRACT FROM AUTHOR]

Development of ultra‐broadband visible‐to‐near‐infrared (VIS‐NIR) luminescent materials is a challenging but rewarding endeavor, as they are highly desirable for a number of applications in photonics, optoelectronics, and biological sciences. Nevertheless, to date, rare earth‐doped phosphors that can be efficiently excited by blue light and produce broadband emission in the VIS‐NIR regions remain scarce. In this study, a series of Ce3+‐doped Ba3M4O9 (M = Sc, Lu, Y) broadband luminescent materials are designed based on low‐coordination crystallographic lattice engineering. Among these materials, Ba3Y4O9:Ce3+ produces a continuous ultra‐wide VIS‐NIR emission (λem = 660 nm) in the range of 500–950 nm under 410 nm light excitation. This emission wavelength is the longest among those observed in Ce3⁺‐doped oxide materials. Structural refinement, theoretical calculation, and spectral analysis demonstrate that this VIS‐NIR broadband emission is attributed to the occupying multiple distorted octahedral lattice sites by Ce3+ in Ba3Y4O9. Several strategies are employed to enhance the luminescence intensity and thermal stability of this material, including the use of carbon paper coating, the incorporation of co‐solvents, and the addition of GeO₂ or ZrO₂. Furthermore, the as‐prepared materials demonstrate multifunctional applications in white light‐emitting diodes (WLED), night vision, and fluorescent thermometers. This study offers insights into the design of Ce3+‐doped ultra‐wide VIS‐NIR light‐emitting materials. [ABSTRACT FROM AUTHOR]

Linear induction motors (LIMs) are positioned head-to-tail in medium and low-speed maglev (MLSM) trains, and the interaction due to small spacing between two LIMs is not yet clear. In this work, based on the 2D electromagnetic field theory, the vector magnetic potential (VMP) of each region was solved, and the traction forces of two adjacent LIMs were derived. Subsequently, the correctness of the theoretical model was verified by simulation. Finally, the effects of the spacing, wiring type, pole pitch, speed, etc., on the traction forces of two adjacent LIMs were analyzed. The results show that the traction force of LIM1 (arranged in front) is almost unaffected by LIM2 (arranged behind LIM1), while that of LIM2 fluctuates periodically with the spacing, and the smaller the spacing, the greater the fluctuation amplitude. Meanwhile, the larger the pole pitch, the more the pole number, the greater the slip frequency, and the lower the speed, the smaller the effect of LIM1 on LIM2. When the spacing takes 1.1 to 1.6 times the pole pitch, the traction force of LIM2 is larger than that of LIM1. The achievements can provide technical support for enhancing the traction performance of the LIMs in the MLSM trains. [ABSTRACT FROM AUTHOR]

High-entropy ceramics have potential as thermal barrier coatings (TBCs) and a new way to reduce thermal conductivity. (Gd 0.25 Ho 0.25 Er 0.25 Yb 0.25) 3 NbO 7 (4RE 3 NbO 7) and (Ho 0.33 Er 0.33 Yb 0.33) 3 NbO 7 (3RE 3 NbO 7) rare-earth niobates with disordered defective fluorite structures were synthesized using the solid-phase method. They show prominent phase stability at 1400 °C and excellent chemical compatibility with Al 2 O 3 at 1200 °C. The SEM and EDS results show that the samples have a dense and uniform grain structure, and the average grain size is less than 2 μm. The uniform distributions of rare earth cations further indicate the successful realization of equimolar ratio doping. Compared to yttrium oxide-stabilized zirconia (YSZ) materials, both 4RE 3 NbO 7 and 3RE 3 NbO 7 ceramics have glass-like thermal conductivity, and the thermal conductivity of 4RE 3 NbO 7 ceramics (1.032–1.177W/m·K, 25–800 °C) was lower than that of 3RE 3 NbO 7 ceramics (1.058–1.183W/m·K, 25–800 °C). In addition, 4RE 3 NbO 7 and 3RE 3 NbO 7 exhibited comparable coefficients of thermal expansion (9.78–9.61 × 10−6 K−1, 1200 °C) and enhanced mechanical properties (Hv = 7.14–9.07 GPa, K IC = 2.02–1.62 MPa m1/2). The results of this study motivate a follow-up study on niobate high entropy ceramics with desirable properties. [ABSTRACT FROM AUTHOR]

High concentrations of immunoglobulins, bioactive peptides, and growth factors are found in bovine colostrum (BC), the milk produced by cows in the first few days after parturition. Various biological functions make it increasingly used to provide nutritional support and immune protection to the offspring of many species, including humans. These biological functions include cell growth stimulation, anti-infection, and immunomodulation. The primary components and biological functions of colostrum were reviewed in the literature, and the authors also looked at its latent effects on the growth and development of neonates as well as on conditions such as infections, necrotizing enterocolitis, short bowel syndrome, and feeding intolerance. The importance of BC in neonatal nutrition, immune support, growth and development, and gut health has been demonstrated in a number of experimental and animal studies. BC has also been shown to be safe at low doses without adverse effects in newborns. BC supplementation has been shown to be efficient in preventing several disorders, including rotavirus diarrhea, necrotizing enterocolitis, and sepsis in animal models of prematurity and some newborn studies. Therefore, BC supplementation should be considered in cases where maternal milk is insufficient or donor milk is unavailable. The optimal age, timing, dosage, and form of BC administration still require further investigation. [ABSTRACT FROM AUTHOR]

Hot air–assisted radio frequency drying (HARFD) is a recently developed food dehydration method to enhance thermal efficiency while retaining the quality of the fresh produce. This investigation is aimed at exploring the potential for the application of portable near-infrared (NIR) spectroscopy for rapid real-time assessment of the quality of apple slices during HARFD. Both moisture content (MC) and vitamin C content (VCC) were selected as the critical indicators to assess the quality of the dried apple slices. Principal component regression (PCR), partial least squares regression (PLSR), and back propagation-artificial neural network (BP-ANN) models were developed and compared to establish the relationships between the NIR spectrum and the selected quality indicators of dried products. Model fitting results indicate that the BP-ANN model achieved the highest prediction accuracy for MC (lowest RMSEP = 0.331 and highest R P 2 =0.976) and VCC (lowest RMSEP = 0.605 and highest R P 2 =0.933) of apple slices during HARFD. This work highlights the use of portable NIR spectroscopy as an efficient and non-destructive tool for smart prediction of the quality parameters of apple slices during the HARFD process via optimized statistical modeling. [ABSTRACT FROM AUTHOR]

The osmotically dehydrated orange juice sacs can serve as materials for heterogeneous 3D printing. Moreover, physical field-assisted such as ultrasound and vacuum, along with their combined application, were employed to enhance the impregnation of green tea polyphenol (GTP) and ascorbic acid (AA) during osmotic dehydration of orange juice sacs. This innovative approach not only compensates for the loss of water-soluble bioactive substances but also enhances the functional properties of heterogeneous 3D-printed food. The study assessed the impregnation effect of ultrasound (UOD), vacuum (VOD), and their synergistic pretreatment (UVOD) on the osmotic dehydration of orange juice sacs. Results indicated that the VOD-treated product exhibited the highest AA impregnation at 294.20 mg/100 g, while the UVOD-treated product demonstrated the best retention of phenolic compounds at 29.55 mg/g and also with best antioxidant activity. Quality attribute evaluation revealed that the UOVD-treated product displayed the lowest water content (66.44%), the softest texture, and superior color and aroma retention compared to the untreated orange juice sacs. In printing experiments, it was observed that the addition of 1–3% orange juice sacs resulted in successful printing using a 2.5 mm printing nozzle, achieving high precision and aesthetically pleasing outcomes. [ABSTRACT FROM AUTHOR]

Eating patterns, financial and time constraints, and food availability play a key role in the wide variety of diets followed by young adults. As a result, many young consumers turn to quick and sometimes less healthy low nutrition options from convenience stores. In order to offer healthy and nutritious food, 3D printing can be used to make individualized diet plans and produce meals depending on factors such as age, occupation, and personal choice. In the field of food technology, 3D printing is a well-established additive manufacturing (AM) technology used to produce highly individualized food items. The types of foods that have been manufactured via 3D printing are evolving continuously. Customization of food and environmental sustainability are now possible because of this rapid and risk-free manufacturing approach. Future foods will include alternative proteins, plant-based products, insect protein etc. Current and future generations need healthy alternatives since most ready-to-eat or customized foods lack significant amounts of required nutrients. Due to eating disorders, allergies, or unpredictable eating habits, many young adults, especially those between 18 and 30 years of age, tend to suffer increasingly from malnutrition, obesity, and linked conditions like diabetes. 3D food printing is suitable for meeting this demand for nutritionally packed meals for the youth, which can be used to customize meal plans and meals for people with special diets. This paper summarizes recent studies on 3D printing formulations for future foods especially suited for young people. [ABSTRACT FROM AUTHOR]

Metal single‐atoms implanted on nitrogen‐doped carbon matrices (M‐NxCs) can effectively adjust local surface electrons and polarization relaxation through coordination structures to significantly enhance the electromagnetic wave (EMW) absorption properties of the materials. However, the precise construction of the geometric and electronic structures of metal single atoms and the discovery of the structure‐absorption relationship at the atomic level confront a huge challenge. Herein, this work summarizes the latest progress in metal single‐atom engineering of EMW absorbing materials via a comprehensive analysis of M‐NxCs in terms of design principles, modulation strategies, and structure‐performance correlations. Subsequently, it highlights the recent progress of several typical M‐NxCs as the EMW absorbing materials, aiming to achieve a complete understanding of the physical effects and atomic‐level absorption mechanisms. Finally, current key challenge and future directions of M‐NxCs are presented by focusing on the electromagnetic functional materials. This work provides new insights for the development of atomically dispersed absorbing materials for efficient electromagnetic response functionalities. [ABSTRACT FROM AUTHOR]

Incorporating multiple atoms with different masses and radii at distinct atomic sites within a lattice matrix can increase its entropy and, in turn, enable a synergistic approach to both band structure and microstructure engineering. Modifying the band structure enhances electrical transport properties, while changes in the microstructure effectively suppress thermal transport properties, leading to significantly improved thermoelectric performance. Here, entropy engineering is employed to enhance the thermoelectric performance of the SnTe material system. The synergistic alloying of Ge, Mn, and In significantly alters the electronic band structure by merging four valence bands namely L, Σ, Λ, and X, and creating a resonant energy state near the Fermi level, resulting in an outstanding Seebeck coefficient of ≈97 µV K−1 at room temperature. The high density of point defects, Ge secondary phases, amorphous interfaces, phono–phonon interactions, and grain boundaries significantly disrupts the movement of heat‐carrying phonons, leading to an exceptionally low lattice thermal conductivity of 0.32 W m−1 K−1, pushing it below the amorphous limit. Consequently, a peak figure of merit of 1.64 achieves at 873 K in Sn0.71Ge0.2Mn0.07In0.02Te. These findings lay the groundwork for developing advanced thermoelectric materials via entropy engineering. [ABSTRACT FROM AUTHOR]

Temporal action localization plays a significant role in video understanding, which aims to recognize action category as well as temporal interval in untrimmed videos. Most of previous transformer-based methods employ a feature space of single-temporal granularity. However, low-level temporal features can not provide enough semantic information for action recognition while high-level temporal features lack rich details for boundary localization. To address the above issue, we propose a multi-granularity transformer fusion framework (MGTF) to localize temporal actions in videos. Specifically, the MGTF builds a multi-granularity feature fusion pipeline based on transformer, and uses a direct set prediction strategy to generate action instances. Through top-down cross-granularity attention interaction, the low-level features of boundary details and high-level semantic information can be combined to improve the feature discrimination. To reduce computation cost, we design temporal shift attention to adaptively focus on a sparse set of key segments. In addition, actionness regression head is utilized to refine the confidence score of different candidate instances. As a self-contained system, MGTF achieves state-of-the-art performance on THUMOS'14 and comparable performance on ActivityNet-1.3. Ablation studies and qualitative visualization also demonstrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

To determine the characteristics of posterior precortical vitreous pockets (PPVPs) and to observe vitreous changes in myopic eyes by swept-source optical coherence tomography (SS-OCT) and en face imaging in a cohort of the Chinese Han population. This was a cross-sectional study. Volunteers (235 participants, 374 eyes) received an SS-OCT examination. The heights and widths of the PPVPs were measured by SS-OCT. The area of the PPVPs was measured on en face images. The relationships between PPVP size and sex, age, axial length (AL) and spherical equivalent (SE) were evaluated. The mean width and height were 6711.64 ± 1241.87 μm and 662.47 ± 326.39 μm, respectively. The area of the PPVPs was 30.296 ± 9.114 mm2. Boat-shaped, oval, and hook-shaped PPVPs were observed in 73.26%, 21.12%, and 5.62% of all eyes, respectively; 73.53% of all PPVPs had channels communicating with Cloquet's tubes. There was a significant difference in the PPVP width among the participates over and under 50 years old (t = -2.508, P = 0.031). Age had a positive correlation with the PPVP width (r = 0.53, P = 0.001). The PPVP height showed significant differences among the different myopia groups (F = 3.618, P = 0.013). SE had a negative correlation with the PPVP height (r = -0.176, P = 0.001). However, there were no correlations between the AL and the width, height or area of the PPVPs (P = 0.117; P = 0.334; P = 0.057, respectively). Age and myopia affect the size of PPVPs. SS-OCT greatly facilitates visualization of the complex structure of the vitreous. [ABSTRACT FROM AUTHOR]

AbstractStarch-based foods have a large consumer base worldwide. It is known that the quality of freeze-dried starch-based products is subject to deterioration during the production process. The present study was unprecedented carried out to examine the effects of freeze-drying on the cross-linking between components of gelatinized starch-based system. The results showed that the retrogradation of starch in the process of dehydration, the weakening of the binding capacity between the substrate and water of the freeze-dried product and the weakening of the interaction strength between the components of the product were the key mechanisms leading to the quality deterioration of the wheat starch-based conditioned food during the freeze-drying. The addition of lipid and protein can inhibit starch retrogradation during freeze-drying, and the inhibition effect of oil is better. However, the intervention of oil and fat will cause dehydrated starch to re-adsorb the melted oil/water mixture during the freeze-drying process, resulting in the deterioration of product quality. The intervention of protein will improve the binding ability of freeze-dried wheat starch-based product matrix to water. In the ternary system, the intervention of protein will weaken the inhibition effect of lipid on retrogradation of starch in the freeze-drying process. In addition, the lower drying temperature will lead to the decrease of the interaction strength between the components of ternary mixed system. Avoiding the melting of frozen materials during drying is the key control point to improve the quality of freeze-dried wheat starch-based products. [ABSTRACT FROM AUTHOR]

ABSTRACT Silylene metal complexes exhibit excellent catalytic activity and selectivity in homogeneous catalysis. However, there are relatively few examples of silylene metal complexes as catalysts for the hydrosilylation of alkenes. In order to study the effect of a silylene ligand on the catalytic performance of [PSiP] pincer Co(II) chloride for alkene hydrosilylation, the PMe3 ligand in (MeSi(C6H4‐PPh2)2)Co (PMe3)Cl (1) was replaced by a silylene ligand, and a silylene [PSiP] pincer Co(II) chloride, (MeSi(C6H4‐PPh2)2)Co (PhC (NtBu)2Si)Cl (2), was used as catalyst to study its catalytic activity in alkene hydrosilylation. It was confirmed that silylene Complex 2 has excellent catalytic activity for alkene hydrosilylation with Ph2SiH2 as a hydrogen source. For alkene hydrosilylation, compared to phosphine Complex 1, silylene Complex 2 does not need NaBHEt3 as an additive. In addition, for aromatic alkenes, silylene Complex 2 has anti‐Markovnikov selectivity, while phosphine Complex 1 provides Markovnikov products in the presence of NaBHEt3. [ABSTRACT FROM AUTHOR]

Aiming at the low efficiency of antenna modeling and solving the problems of slow training speed and high resource consumption when multiple antenna structural parameters are optimized simultaneously, a new deep multi-layer convolutional neural network (DMCNN) is proposed. The DMCNN model uses four layers of ladder-type fully connected layers combined with convolutional layers to improve the learning and classification capabilities of data features. It adds a LeakyReLU activation function to solve the problem of neurons disappearing in negative value areas and alternately uses maximum pooling and average pooling operations to update training parameters to reduce the amount of calculation and maintain feature invariance. Apply Adam optimizer combined with dropout technology to adjust the learning rate and reduce weight fluctuations. The DMCNN model extracts samples from the geometric construction parameters of the ultra-wideband multiple-input multiple-output (UWB MIMO) antenna as feature input to predict the return loss S 1 1 and insertion loss S 2 1 . Simulation results prove that the DMCNN model's prediction fit for S 1 1 and S 2 1 reached 98.48% and 95.02%, respectively. Compared with the multi-layer perceptron (MLP) and Fully Connected Neural Network (FCNN) models, the training effect was improved by at least 11.66%. It solves the shortcomings of traditional methods, and has excellent UWB MIMO antenna modeling capabilities. [ABSTRACT FROM AUTHOR]

Aging population is a global issue that presents a significant challenge to humanity. Declining organ function with aging can lead to gastrointestinal and nutritional shortages, eating difficulties, and other health issues. The healthy eating habits and adequate nutrition play a key role in lowering the prevalence of non-communicable diseases. As prospective food development tool for the elderly, additive manufacturing technology, commonly known as 3D printing technology, provides the advantages of personalization, customization, and digitization. However, the application of 3D printing technology to produce food for elderly has not been thoroughly examined. This paper discusses the application of 3D printing technology for the development of functional foods for elderly with eating difficulties, anorexia, malnutrition, and sensory degeneration. Also, the application of 3D printing technology in developing special medical foods that are easy to chew and swallow is discussed. Moreover, this paper analyzes the issues and future development trend of 3D printing technology in the development of functional foods and special medical foods for elderly. Overall, 3D printing technology has a wide range of applications in elderly food development. This paper provides new ideas for the future application of 3D printing technology in the development of elderly food. [ABSTRACT FROM AUTHOR]

The objective of this work is to evaluate the effects of ozone combined with ultrasound (ozone+US), pasteurization (PT), and high-temperature short-time sterilization (HTST) on antimicrobial capacity, antioxidant activity, carotenoid distribution and in vitro bioaccessibility of carotenoids in high-sugar concentrated orange juice. The enhancement of cellular membrane permeability and the leakage of cytoplasmic contents in Penicillium citrinum and Saccharomyces cerevisiae induced by ozone+US treatment were confirmed by fluorescence and FTIR spectrum. Ozone+US treatment exhibited higher antimicrobial activity than PT, and ozone+US treatment could decrease 4.22 ± 0.08 log CFU/mL of P. citrinum and 4.49 ± 0.10 log CFU/mL of S. cerevisiae. Additionally, ozone+US treated samples showed significantly lower peroxidase and polyphenoloxidase residual activity, higher bioactive compounds, and antioxidant capacity of orange juice as compared to thermal treatment. Among these treatments, ozone+US-treated orange juice showed the highest retention rates of carotenoid content and carotenoid bioavailability of 3.76 ± 0.05 mg/L and 24.53 ± 1.37%, respectively. Interestingly, particle size reduction and uniform distribution of carotenoids in ozone+US-treated samples enhanced the bioaccessibility of carotenoids. Compared with those thermal treatments, ozone+US treatment would be an alternative to improve microbial safety and decrease the degradation of antioxidant components in high-sugar concentrated orange juice. [ABSTRACT FROM AUTHOR]

Introduction: The histological transformation (HT) of follicular lymphoma (FL) is a crucial biological event. The study aimed to evaluate the incidence, clinicial characteristics, prognosis and impact of HT time on survival of FL transforming to diffuse large B‐cell lymphoma in population‐based large‐scale cohorts. Methods: A retrospective cohort study of FL with HT was performed in the Surveillance, Epidemiology, and End Results database. The Hematological Malignancy Research Network FL cohort and Aristotle study FL cohort were used to assess the external validity. Results: Among 44,127 FL cases from the Surveillance, Epidemiology, and End Results database, 1311 cases were pathology‐proven recorded to transform to diffuse large B‐cell lymphoma. The cumulative rates of HT at 5, 10, and 15 years after FL diagnosis were estimated to be 1.19%, 2.93%, and 5.01%, respectively. Significantly worse overall survival and cancer‐specific survival were exhibited in patients with HT than those without HT. Early HT (transformation of FL within 48 months after FL diagnosis [TOD48]) was an independent predictor for adverse overall survival of HT patients, regardless of treatment modalities before transformation. The adverse prognostic effect of TOD48 was validated in the Hematological Malignancy Research Network cohort and Aristotle study cohort. Older age (>75 years) and B symptoms within FL at diagnosis were the independent risk factors of TOD48. Furthermore, a novel prognostic model combining TOD48 with Follicular Lymphoma International Prognostic Index (TOD48‐FLIPI) was constructed and validated for risk stratification. Conclusion: TOD48 was a risk indicator of HT, and the novel prognostic model "TOD48‐FLIPI" for HT patients was proposed. [ABSTRACT FROM AUTHOR]

Several studies have indicated a potential causal relationship between plasma standard lipids, such as high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides (TG), and total cholesterol (TC), and psoriasis. However, few studies have offered causal evidence of lipid species beyond these standard lipids. We conducted an analysis using a genome-wide association study (GWAS) dataset comprising 179 lipid species, including 13 types across four major categories, to identify instrumental variables (IVs) associated with plasma lipids. We utilized two GWAS datasets from the IEU and Finngen for psoriasis vulgaris as the outcome. A two-sample Mendelian randomization (MR) analysis was used to explore the causal relationship between 179 lipid species and psoriasis vulgaris in two datasets. Lipid species showing causal association in both psoriasis datasets were compared for overlap. Our study identified potential causal relationships between six lipid species and psoriasis vulgaris: phosphatidylcholine (16:1_18:2), phosphatidylcholine (18:0_18:2), phosphatidylcholine (18:1_20:4), phosphatidylethanolamine (16:0_18:2), phosphatidylinositol (18:0_20:3), and triacylglycerol (50:1). In summary, elevated plasma levels of phosphatidylcholine (16:1_18:2), phosphatidylcholine (18:0_18:2), phosphatidylethanolamine (16:0_18:2), phosphatidylinositol (18:0_20:3), and triacylglycerol (50:1) may increase the risk of psoriasis vulgaris. Conversely, plasma phosphatidylcholine (18:1_20:4) may play a protective role against psoriasis vulgaris. [ABSTRACT FROM AUTHOR]

Background: To investigate the relationships of the dynamic changes in triglyceride glucose index-body mass index (TyG‑BMI) and cumulative TyG-BMI with the risk of hypertension among middle-aged and elderly Chinese. Methods: Data were used from the China Health and Retirement Longitudinal Study (CHARLS). Participants who participated in the baseline study (2011–2012) and in subsequent surveys (2015–2018) were included in this study. The primary exposures were changes in TyG-BMI and cumulative TyG-BMI from 2012 to 2015. Changes in TyG-BMI were categorized using k-means clustering methods, while cumulative TyG-BMI was categorized into quartiles. Cox proportional hazards regression models were performed to examine the association between changes in TyG-BMI and cumulative TyG-BMI with the incidence of hypertension. Linear regression analyzes were performed to examine the association between changes in TyG-BMI and cumulative TyG-BMI with cumulative systolic blood pressure (SBP) and cumulative diastolic blood pressure (DBP). Results: Of a total of 2,561 participants aged 56.93 ± 8.08 years old at baseline, 253 individuals (9.9%) developed hypertension during the 7-year follow-up period. The hazard ratios (HR) and 95% confidence interval (CI) for hypertension were 1.50 (1.10–2.03) for class 2 (persistently medium class) and 2.35 (1.61–3.42) for class 3 (persistently high class), compared to class 1 (persistently low class). Additionally, class 2 showed increases of 7.70 mmHg (95% CI: 5.18–10.21) in cumulative SBP and 6.53 mmHg (95% CI: 4.68–8.38) in cumulative DBP, while class 3 exhibited increases of 14.10 mmHg (95% CI: 10.56–17.64) in cumulative SBP and 12.64 mmHg (95% CI: 10.03–15.25) in cumulative DBP, compared with class 1. Regarding cumulative TyG-BMI, the HR for hypertension were 1.75 (95% CI: 1.18–2.59) for quartile 3 and 2.15 (95% CI: 1.43–3.23) for quartile 4, compared with quartile 1. In quartile 2, cumulative SBP increased by 3.99 mmHg (95% CI: 0.88–7.11) and cumulative DBP by 2.74 mmHg (95% CI: 0.45–5.02). Quartile 3 showed increases of 8.32 mmHg (95% CI: 5.09–11.54) in cumulative SBP and 7.13 mmHg (95% CI: 4.76–9.49) in cumulative DBP. Quartile 4 exhibited the highest increases, with cumulative SBP rising by 13.15 mmHg (95% CI: 9.70–16.60) and cumulative DBP by 12.20 mmHg (95% CI: 9.67–14.74). Furthermore, a linear relationship was observed between cumulative TyG-BMI and the risk of hypertension. Conclusions: Changes in TyG-BMI and cumulative TyG-BMI were associated with an increased risk of hypertension, as well as higher cumulative SBP and DBP in Chinese middle-aged and elderly population. [ABSTRACT FROM AUTHOR]

To attain carbon neutrality, significant efforts have been made to capture and utilize CO2. The homogeneous hydrogenation of CO2 catalyzed by transition metal complexes, particularly the ruthenium complexes, has demonstrated significant advantages and is regarded as a viable approach for practical application. Insertion of CO2 into the Ru−H bond, producing the Ru‐formate product, is the key step in the hydrogenation of CO2. In order to parameterize the catalytic activities in the CO2 insertion into the Ru−H bond, the concept of simplified mechanism‐based approach with data‐driven practice (SMADP) has been introduced in this paper. The results showed that the hydricity of the Ru−H complex (ΔGH‐) might serve as a single active descriptor in the process of CO2 insertion, and that a novel ruthenium complex in CO2 catalysis may not be easily obtained by mere modification of the auxiliary ligand at the ruthenium metal site. [ABSTRACT FROM AUTHOR]

Metal halide perovskites have emerged as highly promising candidates for next‐generation X‐ray detectors due to their facile and low‐cost processability, high attenuation coefficient, and tunable optoelectrical properties. In this work, quasi‐2D Dion‐Jacobson (DJ) perovskites are introduced in a flat panel X‐ray imager (FPXI) for X‐ray imaging. This study demonstrates that the diammonium interlayers in DJ perovskites play a key role in enhancing structural stability, suppressing ion migration, and improving charge transport. As a result, DJ perovskite‐based X‐ray FPXIs achieve a sensitivity of 18000 µC Gyair−1 cm−2, a low detection limit of 5.7 nGyair s−1, representing performance comparable to that of state‐of‐the‐art 3D perovskite FPXIs. Thanks to the decrease in the signal crosstalk effect of the FPXIs, a high spatial resolution of 0.54 line‐pair‐per‐pixel is achieved, which is higher than that of 3D perovskite FPXIs. Remarkably, high‐quality X‐ray imaging is achieved at a total dose of 20 µGyair, which is only 1/5 of the dose typically used in commercial equipment. This work not only provides valuable insights and guidance for the fabrication of 2D DJ perovskite X‐ray detectors but also lays the groundwork for the adoption of high‐performance, stable DJ perovskite imagers as novel flat‐panel X‐ray detectors. [ABSTRACT FROM AUTHOR]

Early diagnosis and precise treatment of hepatocellular carcinoma (HCC) are crucial for human health. Therefore, addressing the potential markers of HCC, glutathione (GSH) and viscosity, we constructed a fluorescent probe (PG-V) activated cascadically by GSH/viscosity. PG-V possessed excellent photophysical properties and biocompatibility, and could specifically illuminate tumor tissue, achieving fluorescence imaging of HCC, and imaging-guided tumor resection. [ABSTRACT FROM AUTHOR]

Carotenoids are important natural pigments that are responsible for the fruit and flower colors of many plants. The composition and content of carotenoid can greatly influence the color phenotype of plants. However, the regulatory mechanism underling the divergent behaviors of carotenoid accumulation, especially in flower, remains unclear. In this study, a new cultivar Osmanthus fragrans 'Yanzhi Hong' was used to study the regulation of carotenoid pigmentation in flower. Liquid chromatograph–mass spectrometer (LC-MS) analysis showed that β-carotene, phytoene, lycopene, γ-carotene, and lutein were the top five pigments enriched in the petals of 'Yanzhi Hong'. Through transcriptome analysis, we found that the expression of the structural genes in carotenoid pathway was imbalanced: most of the structural genes responsible for lycopene biosynthesis were highly expressed throughout the flower developmental stages, while those for lycopene metabolism kept at a relatively lower level. The downregulation of LYCE, especially at the late developmental stages, suppressed the conversion from lycopene to α-carotene but promoted the accumulation of β-carotene, which had great effect on the carotenoid composition of 'Yanzhi Hong'. Ethylene response factor (ERF), WRKY, basic helix-loop-helix (bHLH), v-myb avian myeloblastosis viral oncogene homolog (MYB), N-Acetylcysteine (NAC), auxin response factor (ARF), and other transcription factors (TFs) have participated in the flower color regulation of 'Yanzhi Hong', which formed co-expression networks with the structural genes and functioned in multiple links of the carotenoid pathway. The results suggested that the cyclization of lycopene is a key link in determining flower color. The modification of the related TFs will break the expression balance between the upstream and downstream genes and greatly influence the carotenoid profile in flowers, which can be further used for creating colorful plant germplasms. [ABSTRACT FROM AUTHOR]

Quantitative three-dimensional gait analysis has been used to evaluate the loading at the knee (i.e. external knee adduction moment, EKAM) during level ground walking in individuals with knee osteoarthritis (OA). The magnitude of EKAM can be influenced by some factors, such as knee marker position and foot placement angles in static calibration trials, which may lead to inaccurate functional assessments and intervention planning. This study aimed to clarify the effects of knee position during static calibration trials on the evaluation of knee loading during gait in individuals with medial knee OA. Seventeen individuals with medial knee OA completed three different static standing trials; (1) knee flexed at 0 degrees, (2) knee flexed at 15 degrees, and (3) knee flexed at 30 degrees before walking at their self-selected speed. A sixteen-camera three-dimensional VICON gait analysis system with four AMTI force platforms was used to collect the EKAM, knee adduction angular impulse (KAAI), knee joint center (KJC), and other knee kinematic and kinetic variables during gait. A repeated measures ANOVA was used to investigate the differences between conditions. The 1st peak of EKAM, the 1st peak EKAM arm, KAAI, and knee extension moment were significantly increased at the 15-degree and 30-degree conditions in comparison with the 0-degree condition (P < 0.05). Additionally, the knee flexion moment and knee external rotation moment were significantly reduced at the 15-degree and 30-degree conditions in comparison with the 0-degree condition (P < 0.05). All biomechanical variables were influenced by the localization of the KJC during static calibration trials. The changes in knee position during static trials significantly affected the 1st peak EKAM, KAAI, and other knee kinematics and kinetics variables during gait. Therefore, future studies should consider keeping the participants’ knees in a consistent position during static trials between visits, as the variations in knee position could mask or exaggerate the differences between groups and interventions. [ABSTRACT FROM AUTHOR]

Ultrasonic phased array detection technology is a promising non-destructive testing (NDT) method that has been widely used for defect detection. Due to the high attenuation characteristics of ultrasonic wave propagation in carbon fibre reinforced polymer (CFRP) and the directivity of the array elements, the possibility of false or missed detection for defects that are far from the array elements or located very close together will increase. In addition, the total focusing method (TFM) employs only the defect information contained in the full matrix capture (FMC) dataset while ignoring the spatial information of the array signals, leading to image mixed with artefact and noise. An improved method called p-weighted-TFM (p-WTFM) is proposed. First, this method scales the magnitude of time-delayed channel signal by p-th root while maintaining the phase unchanged. Second, channel summation with energy compensation and directional correction will be realised. Finally, the signal dimensionality is restored by p-th power. Experimental results show that the p-WTFM can use any rational p-value to flexibly adjust image quality. Specially, this method can accurately distinguish adjacent defects spaced 1 mm apart with p value of 2.5, and it can also detect two defects located 10 mm deep with p value of 3.0. [ABSTRACT FROM AUTHOR]

Background: Chronic alcohol users often exhibit an increased minimum alveolar concentration (MAC) of sevoflurane, yet the specific mechanism remains unclear. It has been reported that ethanol exposure can upregulate the protein expression and enzyme activity of cytochrome P450 2E1 (CYP2E1). CYP2E1 is a key enzyme that converts 2–5% of sevoflurane into equimolar amounts of hexafluoroisopropanol (HFIP) and F−. This study aims to explore whether ethanol exposure could alter sevoflurane metabolism through CYP2E1 modulation, potentially explaining the increased MAC observed in alcohol users. Methods: Eighty adult male Sprague-Dawley (SD) rats were randomly divided into two groups and received either 50% ethanol (dose: 3 g/kg) or 0.9% saline twice daily by gavage. After 1, 2, 3, and 4 weeks of gavage, ten rats were randomly selected from each group to undergo 1-hour anesthesia with 2.3% sevoflurane. Blood samples were collected after anesthesia to measure the concentration of free HFIP using gas chromatography. Additionally, the left lobe tissue of the liver was collected for the analysis of CYP2E1 protein expression by Western blot and CYP2E1 enzyme activity by colorimetric assay. Correlations between these parameters were analyzed using Pearson's correlation. Results: In the ethanol group, CYP2E1 expression, activity, and the concentration of free HFIP were significantly higher at all time points compared to the control group (P < 0.05), except for protein expression in the first week (P > 0.05). Within-group comparisons indicated no significant changes in any of the parameters for the control group (P > 0.05). In the ethanol group, there was no difference in free HFIP concentration between the first and second weeks (P > 0.05), but a significant increase was observed in the third and fourth weeks (P < 0.01); protein expression and enzyme activity significantly varied over time, especially showing a notable increase from the first to the third and fourth weeks (P < 0.05). Correlation analysis revealed strong positive correlations between free HFIP concentration and CYP2E1 activity (r = 0.7898), free HFIP concentration and CYP2E1 expression (r = 0.8418), and CYP2E1 activity and expression (r = 0.8740), all with P < 0.001. Conclusions: Ethanol exposure increased both the expression and enzymatic activity of CYP2E1, consequently enhancing the metabolism of sevoflurane. [ABSTRACT FROM AUTHOR]

Cysteine desulfhydrase catalyses the generation of the signaling molecule hydrogen sulfide (H2S) in plants. In this study, we found that H2S can inhibit tomato (Solanum lycopersicum) fruit ripening and SlWRKY6 undergoes differential protein persulfidation in SlLCD1-overexpressing leaves. Then, further study indicated that SlWRKY6 could be persulfidated by H2S at Cys396. By construction of slwrky6 mutants and SlWRKY6-OE lines, we found that SlWRKY6 positively regulates leaf senescence and fruit ripening by activating the transcription of ripening-related genes STAYGREEN 1 (SlSGR1) and Senescence-Associated Gene 12 (SlSAG12). In addition, SlWRKY6 interacted with kinase SlMAPK4 and was phosphorylated at Ser33. Dual-luciferase transient expression assays and electrophoretic mobility shift assays indicated that SlWRKY6 persulfidation attenuated its transcriptional regulation of target genes SlSGR1 and SlSAG12, whereas SlWRKY6 phosphorylation by SlMAPK4 activated the transcription of target genes to promote fruit ripening. Moreover, we provided evidence that SlWRKY6 persulfidation attenuated its SlMAPK4-mediated phosphorylation to inhibit tomato fruit ripening. By transient expression of SlWRKY6, SlWRKY6C396A, SlWRKY6S33A, and SlWRKY6S33D in slwrky6 fruits, we found that SlWRKY6 persulfidation attenuated the expression of SlSGR1 and SlSAG12 thereby delaying tomato fruit ripening, while SlWRKY6 phosphorylation increased the expression of target genes. As tomato fruits ripened, endogenous H2S production decreased, while SlMAPK4 expression increased. Therefore, our findings reveal a model in which SlWRKY6 persulfidation due to higher endogenous H2S levels in un-ripened fruit inhibits its ability to activate SlSGR1 and SlSAG12 expression, while SlWRKY6 phosphorylation by SlMAPK4 activates its transcriptional activity, thereby promoting tomato fruit ripening. Persulfidation of a transcription factor delays tomato fruit ripening, while its phosphorylation accelerates fruit ripening. [ABSTRACT FROM AUTHOR]

Recent advances in spatial transcriptomics (ST) enable measurements of transcriptome within intact biological tissues by preserving spatial information, offering biologists unprecedented opportunities to comprehensively understand tissue micro-environment, where spatial domains are basic units of tissues. Although great efforts are devoted to this issue, they still have many shortcomings, such as ignoring local information and relations of spatial domains, requiring alternatives to solve these problems. Here, a novel algorithm for spatial domain identification in S patial T ranscriptomics data with S tructure C orrelation and S elf- R epresentation (ST-SCSR), which integrates local information, global information, and similarity of spatial domains. Specifically, ST-SCSR utilzes matrix tri-factorization to simultaneously decompose expression profiles and spatial network of spots, where expressional and spatial features of spots are fused via the shared factor matrix that interpreted as similarity of spatial domains. Furthermore, ST-SCSR learns affinity graph of spots by manipulating expressional and spatial features, where local preservation and sparse constraints are employed, thereby enhancing the quality of graph. The experimental results demonstrate that ST-SCSR not only outperforms state-of-the-art algorithms in terms of accuracy, but also identifies many potential interesting patterns. [ABSTRACT FROM AUTHOR]

The T cell receptor (TCR) repertoire is pivotal to the human immune system, and understanding its nuances can significantly enhance our ability to forecast cancer-related immune responses. However, existing methods often overlook the intra- and inter-sequence interactions of T cell receptors (TCRs), limiting the development of sequence-based cancer-related immune status predictions. To address this challenge, we propose BertTCR, an innovative deep learning framework designed to predict cancer-related immune status using TCRs. BertTCR combines a pre-trained protein large language model with deep learning architectures, enabling it to extract deeper contextual information from TCRs. Compared to three state-of-the-art sequence-based methods, BertTCR improves the AUC on an external validation set for thyroid cancer detection by 21 percentage points. Additionally, this model was trained on over 2000 publicly available TCR libraries covering 17 types of cancer and healthy samples, and it has been validated on multiple public external datasets for its ability to distinguish cancer patients from healthy individuals. Furthermore, BertTCR can accurately classify various cancer types and healthy individuals. Overall, BertTCR is the advancing method for cancer-related immune status forecasting based on TCRs, offering promising potential for a wide range of immune status prediction tasks. [ABSTRACT FROM AUTHOR]

The approach for achieving efficient and clean combustion in a diesel–natural gas (NG) heavy-duty engine at low loads was studied by computational fluid dynamics simulation. This study proposed the concentration and temperature-stratified combustion technology and clarified its mechanism. The results revealed that different stratified combustions can be organized by controlling the pressures, timings, and durations of diesel and NG injections, and stratified combustion can be classified into moderate, lean, and rich stratified combustion modes. Efficient and clean combustion can be realized simultaneously at low engine loads: the gross indicated thermal efficiency (ITEg) of engine breakthrough was improved to 47.9%, and the indicated-specific emissions of unburned hydrocarbon (ISUHC) were greatly reduced to 1.6 g/kWh, while the indicated-specific emissions of nitrogen oxide (ISNOx) remained at 0.6 g/kWh. Moreover, the detailed analysis of three typical stratified combustion modes demonstrates that coupling control of the concentration and temperature of the charge is the key to obtaining excellent engine performance. Most of the NG-stratified mixture should burn in the react ratio range of 0.4 to 0.8 for low unburned hydrocarbon emissions, low nitrogen oxides emissions, and rapid combustion. The proper temperature stratification should ensure that a high-temperature charge is around the over-lean NG mixture. This study can provide the fundamentals of stratified combustion control and feasible solutions for commercial applications of NG engines. [ABSTRACT FROM AUTHOR]

With the rapid development of big data and artificial intelligence technology, the methods and approaches of literature research have also undergone profound changes. This study aims to explore and analyze how these technologies are integrated with literary studies and the new perspectives and opportunities that this integration brings to literary studies. The study investigates the use of advanced techniques in literary analysis, with a particular focus on the analysis of metaphors in literary works, the interaction between literature and social media, and statistical methods in literary criticism. Further, the influence of these technologies on literary theory and education is discussed, and a series of revelatory conclusions are drawn. Collectively, these technologies have opened new portals to literary research, providing a wealth of tools and resources for literary researchers. [ABSTRACT FROM AUTHOR]

• Exploring the influence of static magnetic field induction intensity on the freezing effect. • Static magnetic field shortens the maximum ice crystal formation region and the freezing process. • Static magnetic field has a delaying effect on the retrogradation of starch in fried rice. • Static magnetic field freezing further improved the quality of freezing-thaw fried rice. Magnetic fields are a new food-processing technology, with application in freezing, refrigeration, thawing, and preservation. In this work, the effects of static magnetic field (SMF) on freeze-thaw behavior, water distribution, retrogradation, and quality of fried rice are investigated. Results from the freezing curve show freezing time of fried rice during 2 mT treatment is the shortest, followed by 5 mT. Over a number of freeze-thaw cycles (FTC), the retrogradation enthalpy, relative crystallinity, and short-range ordered degree increased, while the application of the SMF can alleviate these processes. Changes in texture properties of samples treated by SMF are the significantly delayed in comparison with 0 mT, especially the adhesiveness index. The color and flavor of fried rice also show a delay downward trend. Therefore SMF can improve the quality of fried rice. The static magnetic field freezing method is appropriate for the actual production of frozen fried rice. [ABSTRACT FROM AUTHOR]

Fresh food are consumed in large quantities worldwide. During the supply chain, microbial growth in fresh food can lead to the production of a number of metabolites, which make food highly susceptible to spoilage and contamination. The quality of fresh food changes in terms of smell, tenderness, color and texture, which causes a decrease in freshness and consumers acceptance. Therefore, the quality monitoring of fresh food has become an essential part in the supply chain. As traditional analysis methods are highly specialized, expensive and have a small scope of application, which cannot be applied to the supply chain to realize real-time monitoring. Recently, sensing materials have received a lot of attention from researchers due to the low price, high sensitivity and high speed. However, the progress of research on sensing materials has not been critically evaluated. The study examines the progress of research in the application of sensing materials for fresh food quality monitoring. Meanwhile, indicator compounds for spoilage of fresh food are analyzed. Moreover, some suggestions for future research directions are given. [ABSTRACT FROM AUTHOR]

The application of microwave absorption materials, which can effectively convert electromagnetic energy into thermal energy and/or other forms of energy, can effectively solve the increasingly serious electromagnetic pollution. As a type of promising microwave absorption material, ternary transition metal carbides/nitrides MAX phases possess layered structure and superior conduction loss capability. However, poor impedance matching and single polarization loss type seriously hinder their improvement of microwave absorption performance. High-entropy engineering is expected to be an effective strategy to address the above problems simultaneously. Herein, a series of low-, medium-, and high-entropy MAX phases with Ti2AlC structure were successfully synthesized and their structure, composition, and morphology were comprehensively characterized. High-entropy MAX phase (Ti1/5Zr1/5V1/5Nb1/5Ta1/5)2AlC presents excellent microwave absorption performance with the optimal minimum reflection loss (RLmin) of −47 dB at 11.92 GHz (a thickness of 2.4 mm) and optimal effective absorption bandwidth of 3.92 GHz between 8.48 and 12.4 GHz (a thickness of 2.78 mm), which are better than those of our prepared low-/medium-entropy MAX phases as well as most of the other previously reported MAX phases. Such excellent microwave absorption performance of (Ti1/5Zr1/5V1/5Nb1/5Ta1/5)2AlC is attributed to high-entropy engineering, which not only optimizes the impedance matching through regulating permittivity but also introduces more polarization loss type and amount. This work reveals that high-entropy engineering is not only a workable method to enhance the microwave absorption performance in MAX phases, but also an effective strategy to tailor the balance between impedance matching and loss capability through compositional design in single-phase systems. [ABSTRACT FROM AUTHOR]

There are multiple risk factors for preterm birth (PTB), one of the most important of which is mood disorders during pregnancy. We aimed to comprehensively investigate the association of both total mental health concerns and ten specific psychiatric symptoms with PTB risk. A cohort study was performed consisting of 25,175 pregnant women who participated in Women and Children's Hospital of Chongqing Medical University between 2020 and 2022. The Symptom Checklist 90 (SCL-90) was utilized to assess the psychiatric symptoms. Multivariable or multinomial logistic regression was applied to investigate mental health concerns associated with risk of PTB or its different clinical sub-categories, respectively. Sensitivity analyses were further performed to validate the results. 8336 women who met the inclusion criteria were included; of these, 547 (6.6 %) had preterm deliveries, and 2542 (30.5 %) had mental health concerns. Compared with women with healthy minds, women with total mental health concerns had a 29.0 % higher risk of overall PTB (OR = 1.28, 95%CI = 1.07–1.54), medical-induced PTB (OR = 1.49, 95%CI = 1.05–2.13) and spontaneous PTB with premature rupture of membranes (OR = 1.33, 95%CI = 1.01–1.74). As to the specific psychological symptoms, hostility pregnant women had a 55.0 % higher risk of PTB (OR = 1.55, 95%CI = 1.14–2.11). Similar results were observed in most of the sensitivity analyses. This is a single-center study, thus the extrapolation of the results may be limited. Pregnant women with mental health symptoms, especially hostility, have an increased risk of PTB. The findings underscore that integrating mental health services into routine maternal care may be a strategy to prevent PTB. • Few studies have comprehensively evaluated psychiatric symptoms with preterm birth risk • We investigated both total mental health concerns and ten specific symptoms with risk of preterm birth and its different clinical sub-categories • Women with total mental health concerns had a 29 % higher risk of preterm birth • For the specific symptoms, hostility pregnant women had a 55 % higher risk of preterm birth • The results highlight that integrating mental health services into routine maternal care may be a strategy to prevent preterm birth [ABSTRACT FROM AUTHOR]

Plant-based foods are being considered seriously to replace traditional animal-origin foods for various reasons. It is well known that animals release large amounts of greenhouse gases into the environment during feeding, and eating animal-origin foods may also cause some health problems. Moreover, animal resources will likely be in short supply as the world population grows. It is highly likely that serious health problems ascribed to insufficient protein intake in some areas of the world will occur. Studies have shown that environmentally friendly, abundant, and customizable plant-based foods can be an effective alternative to animal-based foods. However, currently, available plant-based foods lack nutrients unique to animal-based foods. Innovative processing technologies are needed to improve the nutritional value and functionality of plant-based foods and make them acceptable to a wider range of consumers. Therefore, protein extraction technologies (e.g., high-pressure extraction, ultrasound extraction, enzyme extraction, etc.), structure improvement and assembly technologies (3D printing, micro-encapsulation, etc.), and technologies to improve digestibility and utilization of bioactive substances (microbial fermentation, physical, etc.) in the field of plant-based foods processing are reviewed. The challenges of plant-based food processing technologies are summarized. The advanced technologies aim to help the food industry solve production problems using efficient, environmentally friendly, and economical processing technologies and to guide the development of plant-based foods in the future. [ABSTRACT FROM AUTHOR]

Prepared dishes are popular convenience foods that meet the needs of consumers who pursue delicious tastes while saving time and effort. As a new technology, food 3D printing (also known as food additive manufacturing technology) has great advantage in the production of personalized food. Applying food 3D printing technology in the production of prepared dishes provides the solution to microbial contamination, poor nutritional quality and product standardization. This review summarizes the problems faced by the prepared dishes industry in traditional food processing, and introduces the characteristics of prepared dishes and 3D printing technology. Food additives are suitable for 3D prepared dishes and novel 3D printing technologies are also included in this review. In addition, the challenges and possible solutions of the application of food 3D printing technology in the field of prepared dishes are summarized and explored. Food additives with advantages in heat stability, low temperature protection and bacteriostasis help to accelerate the application of 3D printing in prepared dishes industry. The combination of 3D printing technology with heat-assisted sources (microwave, laser) and non-heat-assisted sources (electrolysis, ultrasound) provides the possibility for the development of customized prepared dishes in the future, and also promotes more 3D food printing technologies for commercial use. It is noteworthy that these technologies are still at research stage, and there are challenges for the formulation design, the stability of printed ink storage, as well as implementation of customized nutrition for the elderly and children. [ABSTRACT FROM AUTHOR]

Since fresh foods include a significant amount of water, fat, and protein, it is more likely to become infected by microorganisms causing a major loss of quality. Traditional detection techniques are less able to meet customer expectations owing to the limitations of high cost, slow response time, and inability to permit dynamic monitoring. Intelligent non-destructive detection technologies have emerged in recent years, which offer the advantages of small size and fast response at low cost. However, dynamic monitoring of fresh food quality based on intelligent detection technologies on the consumer side has not been rigorously evaluated yet. This paper discussed the application of intelligent detection technologies based on the consumer side in the dynamic monitoring of fresh food freshness, microorganisms, food additives, and pesticide residues. Furthermore, the application of intelligent detection technologies combined with smartphones for quality monitoring and detection of fresh foods is evaluated. Moreover, the challenges and development trends of intelligent fresh food quality detection technologies are also discussed. Intelligent detection technologies based on the consumer side are designed to detect in real-time the quality of fresh food through visual color changes in combination with smartphones. This paper provides ideas and recommendations for the application of intelligent detection technologies based on the consumer side in food quality detection/monitoring and future research trends. [ABSTRACT FROM AUTHOR]

Fresh food is rich in nutrients but is usually seasonal, perishable, and challenging to store without degradation of quality. The inherent limitations of various preservation technologies can result in losses in all stages of the supply chain. As consumers of fresh foods have become more health-conscious, new technologies for intelligent, energy-efficient, and nondestructive preservation and processing have emerged as a research priority in recent years. This review aims to summarize the quality change characteristics of postharvest fruits, vegetables, meats, and aquatic products. It critically analyzes research progress and applications of various emerging technologies, which include: the application of high-voltage electric field, magnetic field, electromagnetic field, plasma, electrolytic water, nanotechnology, modified atmosphere packaging, and composite bio-coated film preservation technologies. An evaluation is presented of the benefits and drawbacks of these technologies, as well as future development trends. Moreover, this review provides guidance for design of the food supply chain to take advantage of various technologies used to process food, reduce losses and waste of fresh food, and this improve the overall resilience of the supply chain. [ABSTRACT FROM AUTHOR]

Myocardial fibrosis is a critical concern in clinical medicine. This study explores the potential of odoratin as a treatment for myocardial fibrosis and investigates its underlying mechanisms. In vitro experiments involved stimulating primary mouse cardiomyocytes with TGF‐β1, followed by odoratin treatment, to assess levels of reactive oxygen species (ROS) and nitric oxide (NO). In vivo, a mouse model of myocardial fibrosis was established using abdominal aortic constriction (AAC) and treated with odoratin. ROS and NO levels in myocardial tissue were then evaluated. Immunofluorescence and Western blotting analysis showed that odoratin reduced excess ROS, enhanced NO production and decreased fibrosis‐related protein expression in vitro. In vivo, odoratin significantly improved cardiac function, reduced ROS, increased NO levels and mitigated fibrosis in AAC‐induced mice. Both in vitro and in vivo, odoratin inhibited the expression of NADPH oxidase 4 and EZH2, while promoting the expression of phosphorylated endothelial nitric oxide synthase (p‐eNOS) and PPARγ. The anti‐fibrotic effects of odoratin were reversed by PPARγ antagonism, and EZH2 overexpression diminished PPARγ activation by odoratin. These findings suggest that odoratin may combat myocardial fibrosis by balancing ROS and NO through PPARγ activation, with EZH2 inhibition likely playing a key regulatory role. [ABSTRACT FROM AUTHOR]

This research aimed to develop a 3D-printed pasta formula that, when cooked in various-flavored waters, turns its color into appealing colors that can be used as a cooking indicator. For this aim, a new pasta formula composed of wheat flour (WF), olive oil (EVOO), and red cabbage juice (RCJ) (containing the smart material anthocyanin) was used as print inks. Rheological properties, textural profile analysis, printability and printing accuracy of various pasta dough formulations were first investigated. Subsequently, the color changing, cooking quality, flavor profile (by E-nose) and consumer acceptability of fresh and freeze-dried (FD) 3D-printed pasta cooked in various-flavored waters were evaluated. Results revealed that adding EVOO enhanced the printability and smoothness of the pasta dough. Moreover, the colors of both 3D fresh and FD pasta progressively turned from light blue (before cooking) to uniform red, red/orange, and green after cooking in lemon, orange, and chencun/alkaline waters, respectively. Additionally, cooked fresh and FD pasta showed acceptable and good cooking quality. Furthermore, significant flavor differences among cooked 3D pasta specimens were detected. This study paves the way for developing new 4D pasta products with appealing colors that can be used as a cooking indicator and enhance consumer interaction with pasta during cooking. [ABSTRACT FROM AUTHOR]

The future food industry is facing urgent challenges that need to be addressed, mainly providing sufficient quantity and quality of food to meet the growing population, reducing environmental pollution, improving production and processing conditions to adapt to climate change, protecting biodiversity, and improving food resource utilization. The global per-capita protein demand and consumption continue to grow, making it difficult for traditional protein supply channels to provide sufficient quantity and quality of protein. Ensuring a high-quality protein supply is an important task for future food processing, and the development trend of future food processing is mainly reflected in sustainable development, health, globalization, energy conservation and emission reduction, nutrition, technology, intelligence, and automation. These factors make the development and application of alternative proteins of great practical significance. Alternative proteins are still in the development stage; the relevant research focuses on the flavor, nutrition, safety, and consumer acceptance of the products. Different drying processes need to adapt to different types and applications of alternative proteins, and the drying process will have a significant impact on the recovery rate, recovery quality, and amino acid composition of proteins. This article provides a brief and comprehensive review of the development background, significance, types, applications, challenges, and solutions of alternative proteins based on the classification criteria of animal and plant derived from the perspective of alternative proteins. Some new drying technologies that can be used for alternative proteins are also introduced, including spray drying (pre-treatment, post-treatment, and optimization of process parameters), vacuum microwave drying, and other combined drying technologies. [ABSTRACT FROM AUTHOR]

Electro-arc machining (EAM) is a new electrical discharge machining method based on thermal energy. A large amount of thermal energy is released during arc formation to melt and vaporize the workpiece material. Many factors affect arc machining performance, such as electrical parameters (peak current, etc.), non-electrical parameters (flushing pressure, etc.), workpiece and electrode shape, and material parameters. The electrode shape influences the machining performance. Single-factor, single-pulse arc discharge experiments are carried out to evaluate the effect of the electrode's shape. The polarity effect is verified, and the following results are obtained. For the same workpiece conditions, the arc pit diameter is larger for positive polarity than for negative polarity, suggesting that the arc machining performance is also better for positive polarity. The radius of curvature of the crater has a larger influence than the crater diameter. If a larger etching volume is required, the radius of curvature can be increased, but the etching depth is slightly reduced. The positive and negative polarity also affect the arc plasma characteristic. The compression-expansion effect of the plasma is more pronounced when the direct current is large and positive polarity is used. Waveform analysis shows that the processing stability is higher for positive polarity, whereas negative polarity is more likely to result in bridges and short circuits. As the radius of curvature increases, the processing time, processing instability, and the height of the crater wall increase. The height of the crater wall is higher for positive polarity than for negative polarity. [ABSTRACT FROM AUTHOR]

Rhombohedral GeSe is a promising p‐type thermoelectric material, noted for its low toxicity, environmental friendliness, and greater affordability compared with tellurides. However, its thermoelectric performance still requires further enhancement for practical applications. In this work, a highly competitive peak figure of merit (ZT) of 1.24 at 623 K for p‐type polycrystalline Ge0.895Cu0.005Se0.9(AgBiTe2)0.1, along with a high average ZT of 0.74 between 323 K and 623 K is reported. Comprehensive micro/nanostructural characterization reveals that alloying with AgBiTe2 and doping with Cu successfully induce dense point defects, secondary Ag2Te phases, and various nanoprecipitates in the GeSe matrix. These abundant crystalline and lattice defects result in strong phonon scattering, leading to an ultra‐low lattice thermal conductivity of 0.35 W m−1 K−1 at 623 K. Moreover, Cu doping enhances carrier mobility, promoting decoupling between carriers and phonons. This allows for low thermal conductivity and high power factor coexistence to achieve a high ZT. Additionally, with a temperature difference of 325 K, the theoretical energy conversion efficiency reaches up to 8.5%, indicating great potential for medium‐temperature device applications. This work suggests that Cu doping is an effective strategy for achieving high thermoelectric performance in rhombohedral GeSe‐based materials. [ABSTRACT FROM AUTHOR]

Background: An elevated endogenous cortisol level due to the peripartum stress is one of the risk factors of postpartum bovine uterine infections. Selenium is a trace element that elicits anti-inflammation and antioxidation properties. This study aimed to reveal the modulatory effect of selenium on the inflammatory response of primary bovine endometrial stromal cells in the presence of high-level cortisol. The cells were subjected to lipopolysaccharide to establish cellular inflammation. The mRNA expression of toll-like receptor 4 (TLR4), proinflammatory factors, and selenoproteins was measured with qPCR. The activation of NF-κB and MAPK signalling pathways was detected with Western blot and immunofluorescence. Results: The pretreatment with sodium selenite (2 and 4 µΜ) resulted in a down-regulation of TLR4 and genes encoding proinflammatory factors, including interleukin (IL)-1β, IL-6, IL-8, tumour necrosis factor α, cyclooxygenase 2, and inducible nitric oxide synthase. Selenium inhibited the activation of NF-κB and the phosphorylation of mitogen-activated protein kinase kinase, extracellular signal-regulated kinase, p38MAPK and c-Jun N-terminal kinase/stress-activated protein kinase. The suppression of those genes and pathways by selenium was more significant in the presence of high cortisol level (30 ng/mL). Meanwhile the gene expression of glutathione peroxidase 1 and 4 was promoted by selenium, and was even higher in the presence of cortisol and selenium. Conclusions: The anti-inflammatory action of selenium is probably mediated through NF-κB and MAPK, and is augmented by cortisol in primary bovine endometrial stromal cells. [ABSTRACT FROM AUTHOR]

2D materials and their composites with electromagnetic properties are becoming increasingly popular. Obtaining insight into the nature of electromagnetic (EM) response manipulation is imperative to guide scientific research and technological exploitation at such a critical time. From this perspective, the dielectric genes of 2D material hybrids have been highlighted based on the recent literature. This endows an unlimited possibility of manipulating the EM response, even at elevated temperatures. The definitions and criteria of dielectric genes toward 2D material hybrids and composites are systematically clarified and summarized. The dielectric gene categories are successfully discriminated, including the conduction networks, intrinsic defects, impurity defects, and interfaces in the composite, and their temperature evolution is revealed in detail. More importantly, tuning strategies for microwave absorption, electromagnetic shielding effectiveness, and expanded electromagnetic functions are thoroughly discussed. Finally, significant predictions are provided for multispectral electromagnetic functions, and future applications of multifunctional exploration are anticipated. Dielectric genes will open an unexpected horizon for advanced functional materials in the coming 5G/6G age, providing a significant boost to promoting environmental electromagnetic protection, electromagnetic devices, and next‐generation smart devices. [ABSTRACT FROM AUTHOR]

Herein, a series of Cu, Ni catalysts were synthesized using mesoporous SiO2 (MCM‐41) and fumed SiO2 as supports for the catalytic hydrogenation of furfural (FF). The MCM‐41 support facilitated the high dispersion of Cu, Ni nanoparticles (NPs), and the hydrogenation products are primarily in the form of alcohols. For fumed SiO2, the proper amounts of acid sites contributed to the better selectivity of 2‐methyltetrahydrofuran(2‐MTHF). Hydrogenation results showed that the 10Cu10Ni/MCM‐41 catalyst afforded a 93.6 % yield of tetrahydrofurfuryl alcohol (THFA), while the 10Cu10Ni/SiO2 catalyst afforded a 61.73 % yield of 2‐MTHF and a 31.63 % yield of THFA. Meanwhile, it is also found that impregnating nickel salt before copper salt is more likely to promote the formation of deep hydrogenation products. Cyclic experiments indicate that developing a one‐step hydrogenation process with selective production of fully hydrogenated products is still a daunting and challenging task. [ABSTRACT FROM AUTHOR]

Carbon dioxide corrosion is a pervasive issue in pipelines and the petroleum industry, posing substantial risks to equipment safety and longevity. Accurate prediction of corrosion rates and severity is essential for effective material selection and equipment maintenance. This paper begins by addressing the limitations of traditional corrosion prediction methods and explores the application of machine learning algorithms in C O 2 corrosion prediction. Conventional models often fail to capture the complex interactions among multiple factors, resulting in suboptimal prediction accuracy, limited adaptability, and poor generalization. To overcome these limitations, this study systematically organized and analyzed the data, performed a correlation analysis of the data features, and examined the factors influencing corrosion. Subsequently, prediction models were developed using six algorithms: Random Forest (RF), K-Nearest Neighbors (KNN), Gradient Boosting Decision Tree (GBDT), Support Vector Machine (SVM), XGBoost, and LightGBM. The results revealed that SVM exhibited the lowest performance on both training and test sets, while RF achieved the best results with R2 values of 0.92 for the training set and 0.88 for the test set. In the classification of corrosion severity, RF, LightGBM, SVM, and KNN were utilized, with RF demonstrating superior performance, achieving an accuracy of 99% and an F1-score of 0.99. This study highlights that machine learning algorithms, particularly Random Forest, offer substantial potential for predicting and classifying C O 2 corrosion. These algorithms provide innovative approaches and valuable insights for practical applications, enhancing predictive accuracy and operational efficiency in corrosion management. [ABSTRACT FROM AUTHOR]