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Geomagnetic storms can cause large variations in the ionosphere, but their impacts on the mesosphere and lower thermosphere (MLT) are not well understood. Based on the Total Electron Content (TEC) data and the meteor neutral winds data over Mohe (53.5°N, 122.3°E) and Beijing (40.3°N, 116.2°E), we analyze the tidal variations during six intense geomagnetic storms from 2016 to 2021. According to the six intense geomagnetic storms, we found that intense geomagnetic storms can lead to diurnal and semidiurnal tidal enhancements in TEC, while their influences on tidal variations in the MLT region are not always captured. Responses of tidal enhancement in the MLT region to the intense geomagnetic storms are more obvious at a lower latitude at Beijing, but the tidal amplitude changes are not proportional to the Dst indices. Some semidiurnal tides are significantly enhanced prior to the onset of geomagnetic storms, which needs to be statistically investigated in the future based on additional observations. [ABSTRACT FROM AUTHOR]

The increasing energy demand in information technologies requires novel low‐power procedures to store and process data. Magnetic materials, central to these technologies, are usually controlled through magnetic fields or spin‐polarized currents that are prone to the Joule heating effect. Magneto‐ionics is a unique energy‐efficient strategy to control magnetism that can induce large non‐volatile modulation of magnetization, coercivity and other properties through voltage‐driven ionic motion. Recent studies have shown promising magneto‐ionic effects using nitrogen ions. However, either liquid electrolytes or prior annealing procedures are necessary to induce the desired N‐ion motion. In this work, magneto‐ionic effects are voltage‐triggered at room temperature in solid state systems of CoxMn1‐xN films, without the need of thermal annealing. Upon gating, a rearrangement of nitrogen ions in the layers is observed, leading to changes in the co‐existing ferromagnetic and antiferromagnetic phases, which result in substantial increase of magnetization at room temperature and modulation of the exchange bias effect at low temperatures. A detailed correlation between the structural and magnetic evolution of the system upon voltage actuation is provided. The obtained results offer promising new avenues for the utilization of nitride compounds in energy‐efficient spintronic and other memory devices. [ABSTRACT FROM AUTHOR]

Electrostatic fields are crucial for achieving the highly efficient filtration of airborne pollutants. However, the dissipation of static charges over time, especially under humid conditions, limits their practical application. In this study, we present a self-charging air filter (SAF) powered by a triboelectric nanogenerator (TENG). This SAF is integrated into a commercial mask, termed SAFM, which can effectively capture and degrade airborne pollutants without requiring an external power source. By leveraging the triboelectric effect during breathing, the TENG within the SAFM continuously replenishes static charges, maintaining the triboelectric field. The system employs a cellulose aerogel/Ti3C2Tx composite as the electron donor and an esterified cellulose-based electrospun nanofiber as the electron acceptor. Remarkably, the triboelectric field significantly enhances filtration performance, with the SAF achieving up to 95.7% filtration efficiency for particulate matter as small as 0.3 μm. This work underscores the potential of TENG-powered triboelectric fields in the development of multifunctional, human-machine interactive facemasks. [ABSTRACT FROM AUTHOR]

As a natural pentacyclic triterpenoid, oleanolic acid has hepatoprotective, anti‐inflammatory, and antioxidant activities. This work performed the in vitro experiments and animal assay to explore whether oleanolic acid alleviates lipid accumulation induced by high‐fat diet by mediating PPARγ. Oil red O staining showed that oleanolic acid can reduce lipid accumulation in HepG2 cells, which were treated with oleic acid and palmitic acid. Immunofluorescence, western blot analysis, and RT‐qPCR showed that oleanolic acid could promote nuclear translocation of PPARγ and reduce the expression level of PPARγ, C/EBP‐β, and SREBP‐1c. The results of in vivo experiments indicated that dietary intervention with oleanolic acid can effectively improve the fat accumulation in liver tissue and attenuate the level of IL‐6 and TNF‐α in serum caused by high‐fat diet. Meanwhile, oleanolic acid did not cause lesions in vital organs at the experimental concentrations. In addition, the computer simulation indicated that oleanolic acid could directly bind to PPARγ with a reasonable and stable docking conformation. The above research results can provide new evidence for oleanolic acid to prevent nonalcoholic fatty liver disease. [ABSTRACT FROM AUTHOR]

A series of novel side-chain liquid crystalline (SCLC) copolymers were synthesized by attaching two distinct mesogenic units, namely a chiral cholesteryl-based monomer (M1) and an achiral biphenyl-based monomer (M2), to a poly(3-mercaptopropylmethylsiloxane) (PMMS) backbone via thiol-ene click chemistry. The influence of side chain composition on the self-assembly behavior and phase structures of these SCLC copolymers was systematically investigated using different instrument. Results indicate that three distinct liquid crystalline phases and four unique molecular configurations were identified within the polymer series, with the emergence of the liquid crystalline phase being a synergistic outcome of the two distinct side chains. This study underscores the critical influence of side chain dimensions, rigidity, and spatial volume on the self-assembly structures and phase characteristics of liquid crystalline polymers, providing valuable insights for the rational design and development of advanced functional materials with tailored properties. [ABSTRACT FROM AUTHOR]

A series of 8-(piperazin-1-yl)imidazo[1,2-a]pyrazine derivatives were designed and synthesized as acetylcholinesterase inhibitors (AChEIs) and antioxidants for the treatment of Alzheimer's disease (AD). Moreover, the biological evaluation results demonstrated that these synthesized compounds exhibited moderate inhibitory activities toward acetylcholinesterase (AChE) and radical scavenging activities. Among them, compound 17r was the most potent AChE inhibitor with an IC50 value of 0.47 μM and moderate inhibitory activity against butyrylcholinesterase (BuChE) (IC50 = 11.02 μM). The selectivity index (SI) value of AChE over BuChE was 23.45, surpassing that of the reference drug galantamine (AChE IC50 = 5.01 μM, BuChE IC50 = 18.46 μM, SI = 3.68). Compound 17o had the best antioxidant activity with an IC50 value of 89.33 μM, which was lower than that of ascorbic acid (IC50 value = 25.70 μM) as the control drug. Furthermore, the results of molecular docking studies indicated that 17r could simultaneously bind to both catalytic active site and peripheral anionic site of AChE, which was consistent with the mixed inhibition pattern shown by enzyme kinetic studies. The interaction's stability of 17r-AChE/BuChE were also assessed using a conventional atomistic 100 ns dynamics simulation study, which revealed the conformational stability of representative compound 17r in the cavity of the AChE. In addition, the molecular properties of all compounds were predicted online through the SwissADME, and the best active compound 17r matched the properties of most orally administered drugs. Based on the biological activity and molecular properties, compound 17r as AChEI was valuable for further development. [ABSTRACT FROM AUTHOR]

Single‐atom (SA) nanozymes have unprecedented physicochemical performance due to their integrated merits of both atomically dispersed metal atoms and bio‐enzymes. However, the structure‐function relationship between the SA nanozyme‐like structure and its dielectric performance is still unclear. Furthermore, controllable synthesis of SA nanozyme‐like structures remains challenging due to their unique five‐coordinated configurations. Here, a dicyandiamide‐mediated pyrolysis strategy is proposed to anchor five nitrogen‐coordinated lanthanum (La)–N5 moieties on interconnected N‐doped graphene nanocages (La‐N5/ING). Theoretical predictions indicate that the spatially coordinated La–N5 moieties exhibit significantly enhanced conduction loss and polarization loss compared to La–N4 moieties, as evidenced by the experimental results. Moreover, the polydimethylsiloxane‐coated chemically cross‐linked film constructed by the La‐N5/ING and aramid nanofibers has outstanding electromagnetic wave (EMW) absorption performance with an effective absorption bandwidth (EAB10) of 6.24 GHz at a thickness of merely 2.0 mm, outperforming those of most reported carbon‐based films. Importantly, the film also has excellent flexibility, hydrophobicity, mechanical strength, and structural stability, ensuring its application potential in practical environments. These findings provide crucial insights into the microscopic environment of SA on the dielectric properties of their host materials, and a critical method for the preparation of multifunctional films with spatial coordinated SA. [ABSTRACT FROM AUTHOR]

This article explores the role of energy-efficient buildings in addressing climate change and reducing carbon emissions. It highlights the significant impact that buildings have on global energy consumption and greenhouse gas emissions, emphasizing the need for sustainable construction materials and design techniques. The article also discusses the potential of digital technologies, such as Building Information Modeling (BIM), IoT sensors, and Digital Twins, to optimize energy use and sustainability throughout the building lifecycle. However, challenges such as cost concerns and operational inefficiencies need to be addressed for widespread adoption of these technologies. The article proposes a research roadmap to overcome these barriers and promote the use of digital tools in the building sector. [Extracted from the article]

Carbon fiber reinforced polymer (CFRP) materials have gained significant attention in the machining industry due to their exceptional strength-to-weight ratio and vibration characteristics. In the poor rigidity machining tool system, such as plunge milling, deep drilling, and boring, the large overhanging shaft increases the requirement of chatter stability. In this study, a solution of carbon fiber reinforced shaft was proposed for the poor rigidity machining tool system. The vibration characteristic model was established by theoretical calculation, FE analysis, and modal testing. The relationship between fiber arrangement and vibration characteristics was precisely described, and the optimization scheme of fiber reinforcement was proposed considering both the theoretical analysis and procedure technique. The machining performance of the optimal HSS-CFRP shaft was compared with that of the traditional HSS shaft in the same tool system. The main aspects that significantly affect the machining performance were thoroughly evaluated, including tool weight, energy consumption, dynamic characteristics, and chatter stability. The effect of fiber reinforcement was fully discussed, which provided a reliable solution for the poor rigidity machining system and other potential applications with large overhanging shaft. [ABSTRACT FROM AUTHOR]

Background: The association between poor social relationships and post-stroke mortality remains uncertain, and the evidence regarding the relationship between poor social relationships and the risk of stroke is inconsistent. In this meta-analysis, we aim to elucidate the evidence concerning the risk of stroke and post-stroke mortality among individuals experiencing a poor social relationships, including social isolation, limited social networks, lack of social support, and loneliness. Methods: A thorough search of PubMed, Embase, and the Cochrane Library databases to systematically identify pertinent studies. Data extraction was independently performed by two researchers. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using either a random-effects or fixed-effects model. Sensitivity analyses were conducted to evaluate the reliability of the results. Random-effects meta-regression was performed to explore the sources of heterogeneity in stroke risk estimates between studies. Assessment for potential publication bias was carried out using Egger's and Begg's tests. Results: Nineteen studies were included, originating from 4 continents and 12 countries worldwide. A total of 1,675,707 participants contributed to this meta-analysis. Pooled analyses under the random effect model revealed a significant association between poor social relationships and the risk of stroke (OR = 1.30; 95%CI: 1.17–1.44), as well as increased risks for post-stroke mortality (OR = 1.36; 95%CI: 1.07–1.73). Subgroup analyses demonstrated associations between limited social network (OR = 1.52; 95%CI = 1.04–2.21), loneliness (OR = 1.31; 95%CI = 1.13–1.51), and lack of social support (OR = 1.66; 95%CI = 1.04–2.63) with stroke risk. The meta-regression explained 75.21% of the differences in reported stroke risk between studies. Random-effect meta-regression results indicate that the heterogeneity in the estimated risk of stroke may originate from the continent and publication year of the included studies. Conclusion: Social isolation, limited social networks, lack of social support, and feelings of loneliness have emerged as distinct risk factors contributing to both the onset and subsequent mortality following a stroke. It is imperative for public health policies to prioritize the multifaceted influence of social relationships and loneliness in stroke prevention and post-stroke care. Trial registration: The protocol was registered on May 1, 2024, on the Prospero International Prospective System with registration number CRD42024531036. [ABSTRACT FROM AUTHOR]

Poly(butylene succinate) (PBS)-based nanocomposites, reinforced and toughened with ZnO-coated multi-walled carbon nano-tubes (MWCNT-ZnO), demonstrate significantly enhanced properties, making them ideal for potential applied in food packaging applications. This study explores the effects of varying proportions of MWCNT-ZnO on the overall characteristics of these composites. The addition of 0.1 parts per hundred (phr) MWCNT-ZnO optimizes the nanocomposites' mechanical properties, crystallinity, melting temperature, thermal stability, and barrier performance. Specifically, the composite exhibits a 22% increase in tensile strength, a 28.4% rise in yield strength, and a remarkable 95.7% enhancement in the material's elongation at break, compared to the pure PBS matrix. Moreover, these nanocomposites exhibit excellent antibacterial properties, crucial for food preservation and safety. The soil burial test indicates that, except for the addition of 0.1phr which is lower than pure PBS, the biodegradation rate increases with the increasing addition of MWCNT-ZnO. This further suggests that a low nanoparticle filler content can enhance structural compactness, thereby improving the mechanical stability. The study also reveals notable preservation benefits for vegetables. When used for beef packaging, this composite material successfully extends the meat's freshness period, substantially curtails bacterial proliferation, and ensures the beef remains within safe consumption parameters. The combination of enhanced mechanical, thermal, barrier, and antibacterial properties makes PBS/MWCNT-ZnO nanocomposites promising candidates for sustainable and efficient food packaging materials. [ABSTRACT FROM AUTHOR]

Objective: To explore how germacrone regulates the proliferation, migration and chemoresistance of human thyroid cancer BCPAP cells and doxorubicin (DOX) resistant BCPAP cells (BCPAP/DOX) through the forkhead box O3 (FOXO3)-FOX subclass M1 transcription factor (FOXM1) signaling pathway. Methods: BCPAP cells were cultured routinely and used to construct BCPAP/DOX cells. MTT method was applied to detect the effects of different concentrations of germacrone on the proliferation of BCPAP and BCPAP/DOX cells. BCPAP and BCPAP/DOX cells were divided into control group (Ctrl), negative control group (NC, transfected with sh-NC plasmid), low concentration germacrone group (0.10 mmol/L), high concentration germacrone group (0.15 mmol/L), high concentration germacrone (0.15 mmol/L) + sh-FOXO3 group (transfected with sh-FOXO3 plasmid). The sh-NC plasmid and sh-FOXO3 plasmid were transfected into the corresponding BCPAP and BCPAP/DOX cells with transfection reagents. The proliferation and migration of the cells were detected using CCK-8 assay and scratching healing assay, and the expression of FOXO3, FOXM1, BAX, MMP-9 and multi-drug resistant-1 (MDR-1) was detected using WB assay. Results: The expression of FOXO3 was successfully knocked down in BCPAP and BCPAP/DOX cells. Both low and high concentrations of germacrone could significantly inhibit the proliferation and migration of BCPAP and BCPAP/DOX cells, reduce the protein expression of FOMX1, MMP-9 or MDR-1 (in BCPAP/ DOX cells), and increase the protein expression of FOXO3 and BAX (all P < 0.05). Notably, the effects were more significant with high concentration germacrone compared to that of low concentration (all P < 0.05). Knockdown of FOXO3 partially reversed the effects of germacrone on these cells (all P < 0.05). Conclusion: Germacrone may regulate the proliferation and migration of BCPAP and BCPAP/DOX cells and reduce chemotherapy resistance of BCPAP/DOX cells through the FOXO3/FOXM1 signaling pathway. [ABSTRACT FROM AUTHOR]

As an energy-efficient transportation innovation, hybrid vehicles (HVs) have the potential to minimize carbon emissions and address environmental issues. The study is novel as it presents significant theoretical contributions within the theory of planned behavior (TPB) framework. Firstly, it integrates the perceived seriousness of environmental problems as a predictor, enhancing understanding of individual responses to environmental concerns. Secondly, it expands the TPB model by introducing willingness to pay for HVs as a moderator, acknowledging the economic aspect of adopting environmentally friendly technologies. These additions enrich the TPB framework, offering insights into the interplay between psychological determinants and economic considerations in behavior change. The study therefore aims to extend the TPB by incorporating two key elements: perceived seriousness of environmental issues and willingness to pay for HVs. We find that perceived seriousness of problems in the environmental has positive impact on attitude toward adoption of HVs, subjective norms, perceived behavioral control, intentions to adopt and actual use of HVs. TPB constructs have positive impact on intentions to adopt and actually use HVs. Moreover, intentions to adopt HVs also positively influence the actual use of HVs. Moreover, the results show that the serial mediations are also in play, whereby perceived seriousness of environmental issues influences TPB constructs, which influence intentions to adopt HV which in turn influence the actual use of HVs. We also find that willing to pay for HVs plays an enhancing role as a moderator in the TPB model. [ABSTRACT FROM AUTHOR]

Cognitive impairment is recognized as a risk factor for suicide in schizophrenia (SZ) patients. Despite empathy being an important aspect of social cognition, the association between suicidal behavior and empathy has received little attention. We aimed to compare empathy and neurocognition in SZ patients with and without suicide attempts (SAs), and to explore the relationship between empathy, neurocognition, and clinical symptoms in SZ patients with and without SAs. Data on SAs and socio-demographic characteristics were collected from 628 chronic SZ patients. The patients' symptomatology was measured by the Positive and Negative Syndrome Scale (PANSS). Empathy and neurocognition were assessed with the Interpersonal Reactivity Index (IRI) and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), respectively. Patients with SAs performed better on all IRI domains (except for Perspective Taking) and total scores. Regression results showed that negative symptoms, positive symptoms, and duration of illness were independently associated with IRI total score in patients without SAs (adjusted R2 = 0.048). In patients without SAs, negative symptoms, general psychopathology, education, age, and sex were independently associated with RBANS total score (adjusted R2 = 0.265), while in patients with SAs, education, PANSS total score, and age at onset were independently associated with RBANS total score (adjusted R2 = 0.456). Our results show that SZ patients with SAs may have better empathic performance than patients without SAs. In chronic SZ patients, negative and positive symptoms may have different effects on cognition in the SAs and non-SAs groups. [ABSTRACT FROM AUTHOR]

Simple Summary: Krüppel-like factors (KLFs) are essential transcription factors found in many eukaryotes. In this study, the focus is on identifying and analyzing the KLF gene family members in chickens using bioinformatic tools, and comparing them with representative classes such as fish, amphibians, birds, and mammals. The analysis includes the structural characterization, evolutionary relationship assessment, and functional predictions. Additionally, in this study, the impact of miRNA-22 is explored, associated with lipid metabolism, on the expression of KLF genes in the liver, heart, and muscle tissues of Qingyuan partridge chickens. The results indicate that the avian KLF gene family is evolutionarily closer to that of mammals, and all chicken KLFs are non-transmembrane proteins. Moreover, the effect of miRNA-22 on KLF expression varies across different tissues. These findings provide a scientific basis for further research into the functions of KLFs in chickens. Krüppel-like factors (KLFs) are a class of fundamental transcription factors that are widely present in various eukaryotes from nematodes to humans, named after their DNA binding domain which is highly homologous to the Krüppel factor in fruit flies. To investigate the composition, organization, and evolutionary trajectory of KLF gene family members in chickens, in our study, we leveraged conserved sequences of KLF genes from representative classes across fish, amphibians, birds, and mammals as foundational sequences. Bioinformatic tools were employed to perform homology alignment on the chicken genome database, ultimately identifying the KLF family members present in chickens. The gene structure, phylogenetic analysis, conserved base sequences, physicochemical properties, collinearity analysis, and protein structure were then analyzed using bioinformatic tools. Additionally, the impact of miRNA-22, related to poultry lipid metabolism, on the expression of the KLF gene family in the liver, heart, and muscle of Qingyuan partridge chickens was explored. The results showed that: (1) compared to fish, the KLF family in birds is more closely related to mammals and amphibians; (2) KLFs within the same subgroups are likely to be derived from a common ancestral gene duplication; (3) KLF3/8/12 in the same subgroup may have some similar or overlapping functions; (4) the motif 4 of KLF5 was most likely lost during evolution; (5) KLF9 may perform a similar function in chickens and pigs; (6) there are collinear relationships between certain KLF genes, indicating that there are related biomolecular functions between these KLF genes; (7) all members of the KLF family in chickens are non-transmembrane proteins; and (8) interference and overexpression of miRNA-22 in Qingyuan partridge chickens can affect the expression levels of KLF genes in liver, heart, and muscle. [ABSTRACT FROM AUTHOR]

Developing the sustainable and cost‐effective heterogeneous catalytic system for controlling chemoselectivity holds substantial importance in fine organic chemicals. Herein we construct a unique Zr(OH)4 + CuO physically hybrid system for selective oxidation of anilines. Zr(OH)4 alone leads to azoxybenzene formation, and Zr(OH)4 + CuO shifts the reaction favorably toward nitrosobenzene. The proximity study indicates Zr(OH)4 + CuO outperforms its counterparts synthesized through methods like ball‐milling, loading, and coprecipitation, because the closer proximity exhibits stronger chemical interaction, restricting the activity of Zr‐OH hydroxyl sites. Through mechanistic experiments, in situ DRIFT‐IR and DFT calculations, a new Ph‐N˙OH intermediate mechanism is firstly proposed. Two Ph‐N˙OH self‐condensate to form azoxybenzene for only Zr(OH)4, whereas Zr(OH)4 + CuO could promote rapid transformation of Ph‐N˙OH to nitrosobenzene on CuO through a hydrogen transfer process. Moreover, Zr(OH)4 + CuO displays good recyclability and robust scalability. This is the first report demonstrating the utilization of a physically hybrid catalyst to adjust the selectivity of the aniline oxidation reaction. [ABSTRACT FROM AUTHOR]

Magneto‐ionics relies on the voltage‐driven transport of ions to modify magnetic properties. As a diffusion‐controlled mechanism, defects play a central role in determining ion motion and, hence, magneto‐ionic response. Here, the potential of ion implantation is exploited to engineer depth‐resolved defect type and density with the aim to control the magneto‐ionic behavior of Co3O4 thin films. It is demonstrated that through a single implantation process of light ions (He+) at 5 keV, the magneto‐ionic response of a nanostructured 50 nm thick Co3O4 film, in terms of rate and amount of induced magnetization, at short‐, mid‐, and long‐term voltage actuation, can be controlled by varying the generated collisional damage through the ion fluence. These results constitute a proof‐of‐principle that paves the way to further use ion implantation (tuning the ion nature, energy, fluence, target temperature, or using multiple implantations) to enhance performance in magneto‐ionic systems, with implications in ionic‐based devices. [ABSTRACT FROM AUTHOR]

The rational design, activity prediction, and adaptive application of biological elements (bio-elements) are crucial research fields in synthetic biology. Currently, a major challenge in the field is efficiently designing desired bio-elements and accurately predicting their activity using vast datasets. The advancement of artificial intelligence (AI) technology has enabled machine learning and deep learning algorithms to excel in uncovering patterns in bio-element data and predicting their performance. This review explores the application of AI algorithms in the rational design of bio-elements, activity prediction, and the regulation of transcription-factor-based biosensor response performance using AI-designed elements. We discuss the advantages, adaptability, and biological challenges addressed by the AI algorithms in various applications, highlighting their powerful potential in analyzing biological data. Furthermore, we propose innovative solutions to the challenges faced by AI algorithms in the field and suggest future research directions. By consolidating current research and demonstrating the practical applications and future potential of AI in synthetic biology, this review provides valuable insights for advancing both academic research and practical applications in biotechnology. [ABSTRACT FROM AUTHOR]

Over the past decades, China has been undergoing rapid economic growth, which may have significantly influenced the dietary patterns and health status of the Chinese population. Our study aimed to assess the associations of potential macronutrient trajectory patterns with chronic diseases and all-cause mortality using the latent class trajectory model (LCTM) and the longitudinal data of the China Health and Nutrition Survey obtained between 1991 and 2015. A 24-hour diet recall was used to assess the dietary intake. The Poisson regression model was employed to investigate the correlations between trajectory patterns and chronic diseases and all-cause mortality. A total of 8115 participants were included in the final analysis. We explored four and three trajectory patterns for male and female populations, respectively. We found that a decreasing very high-carbohydrate trajectory together with a U-shape protein trajectory was associated with a higher risk of diabetes in the male population (odds ratio (OR): 2.23; 95% confidence interval (CI): 1.31–3.77). A similar pattern for moderate protein intake was also associated with the risk of diabetes in the female population (OR: 1.82; 95% CI: 1.18–2.79). In addition, we show that a decreasing low-carbohydrate trajectory and an increasing high-fat trajectory were associated with a lower risk of all-cause mortality (OR: 0.76; 95% CI: 0.60–0.96) and a higher risk of obesity (OR: 1.24; 95% CI: 1.05–1.47) in males. Our results shed light on some salient nutritional problems in China, particularly the dual challenges of undernutrition and overnutrition. [ABSTRACT FROM AUTHOR]

Variable-exponent weakly singular Volterra integral equations of the second kind with integral kernels of the form (t - s) - α (t) are considered. In Liang and Stynes (IMA J Numer Anal 19:drad072, 2023) it is shown that a typical solution of such an equation exhibits a weak singularity at the initial time t = 0 , similarly to the case where α (t) is constant. Our paper extends this analysis further by giving a decomposition for the exact solution. To solve the problem numerically, a fractional polynomial collocation method is applied on a graded mesh. The convergence of the collocation solution to the exact solution is analysed rigorously and it is proved that specific choices of the fractional polynomials and mesh grading yield optimal-order convergence of the computed solution. Superconvergence properties of the iterated collocation solution are also analysed. Numerical experiments illustrate the sharpness of our theoretical results. [ABSTRACT FROM AUTHOR]

Drought stress is one of the major impediments to plant growth. Plant growth-promoting rhizobacteria (PGPR) can mitigate moisture stress in plants by increasing the ability of plant nutrient uptake and transport. In this study, we investigated the root phenotype, mineral nutrients (in leaves, roots, and soil), soil pH, water saturation deficit (WSD), free water content (FWC), and bound water content (BWC) of leaves of two alfalfa varieties, 'Galalxie Max' (drought-tolerant) and 'Saidi 7' (drought-sensitive), in the presence or absence of Bacillus amyloliquefaciens QST713 under drought stress conditions. The results showed that water stress negatively affected both cultivar root morphology (total root length, average diameter, total surface area, and volume) and the contents of K and Fe in leaves, roots, and soil. It also reduced the Mn and Zn contents in the soil while increasing the content of Na in the leaves and soil. Additionally, alfalfa plants under drought stress exhibited higher levels of soil pH, WSD, and BWC but lower contents of FWC and ratios of BWC/FWC in the leaves of both cultivars. However, QST713 application significantly enhanced the total root length, average root diameter, and the contents of K and Fe in alfalfa leaves, roots, and soil, as well as the BWC/FWC ratio in leaves under drought stress conditions. A significant reduction in the Na content was detected in QST713-treated alfalfa leaves and soil under drought stress. Furthermore, QST713 application noticeably decreased soil pH and WSD. The current findings showed that QST713 enhanced the water stress tolerance of alfalfa plants by ameliorating root morphology, reducing soil pH, and improving the BWC/FWC ratio, consequently promoting the accumulation of mineral nutrients (mainly K and Fe). Overall, Bacillus amyloliquefaciens QST713 can serve as a potential green fertilizer in sustainable agriculture to improve soil nutrients and enhance plant production under increasing drought conditions. [ABSTRACT FROM AUTHOR]

Simple Summary: The liver plays a critical role in maintaining health and normal functions in chickens. This study focuses on understanding how a specific small molecule called microRNA-122, which is found in large amounts in the liver, influences these functions. To do this, we used a specially designed virus to increase the levels of microRNA-122 in the liver of young chickens. By analyzing the changes in gene activity, we discovered that higher levels of microRNA-122 impact several vital processes. These include fat metabolism, the aging of cells, cell adhesion, and cellular communication. Additionally, we identified eight specific genes that microRNA-122 may regulate. These findings provide new insights into how microRNA-122 controls important liver functions and can help improve the health and productivity of chickens. The liver of chickens is essential for maintaining physiological activities and homeostasis. This study aims to investigate the specific function and molecular regulatory mechanism of microRNA-122 (miR-122), which is highly expressed in chicken liver. A lentivirus-mediated overexpression vector of miR-122 was constructed and used to infect 12-day-old female Qingyuan Partridge chickens. Transcriptome sequencing analysis was performed to identify differentially expressed genes in the liver. Overexpression of miR-122 resulted in 776 differentially expressed genes (DEGs). Enrichment analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) revealed associations with lipid metabolism, cellular senescence, cell adhesion molecules, and the MAPK signaling pathway. Eight potential target genes of miR-122 (ARHGAP32, CTSD, LBH, PLEKHB2, SEC14L1, SLC2A1, SLC6A14, and SP8) were identified through miRNA target prediction platforms and literature integration. This study provides novel insights into the molecular regulatory mechanisms of miR-122 in chicken liver, highlighting its role in key biological processes and signaling pathways. These discoveries enhance our understanding of miR-122's impact on chicken liver function and offer valuable information for improving chicken production performance and health. [ABSTRACT FROM AUTHOR]

Electrolyte design is indeed a highly effective strategy to improve battery performance. However, identifying the intermolecular interaction in electrolyte solvation structure is rarely reported in potassium‐ion batteries. Herein, it is discovered that a solvent‐solvent intermolecular interaction can be formed when introducing the cyclopentylmethyl ether (CPME) solvent into the commonly used 1,2‐dimethoxyethane (DME)‐based electrolytes. Such interaction is not only analyzed by 2D 1H‐1H correlation spectroscopy for the first time but also found that it can weaken the K+‐DME interaction significantly, consequently enabling a reversible K+ (de‐)intercalation within the graphite. By employing this strategy without using any fluorine‐based solvent, a new fluorine‐free and low‐concentration ether‐based electrolyte is designed, which is not only compatible with graphite but also facilitates the design of high‐energy‐density and safe potassium ion sulfur batteries. A novel molecular interfacial model is further presented to analyze the interfacial behaviors of K+‐solvent‐anion complexes on the electrode surface that are affected by intermolecular interactions, elucidating the reasons behind the superior electrolyte compatibility and graphite electrode performance at the molecular scale. This work sheds some light on the critical role of solvent–solvent interactions in electrolyte design for potassium‐ion batteries and provides valuable insights for engineering and enhancing the performance of electrolytes and batteries. [ABSTRACT FROM AUTHOR]

Highlights: Asymmetrically coordinated Co–N4–O sites on N-doped carbon nanofiber were prepared. Co–O coordination along the axial direction led to enhanced dielectric polarization loss. Multifunctional films were developed for practical application in harsh environments. Single-atom materials have demonstrated attractive physicochemical characteristics. However, understanding the relationships between the coordination environment of single atoms and their properties at the atomic level remains a considerable challenge. Herein, a facile water-assisted carbonization approach is developed to fabricate well-defined asymmetrically coordinated Co–N4–O sites on biomass-derived carbon nanofiber (Co–N4–O/NCF) for electromagnetic wave (EMW) absorption. In such nanofiber, one atomically dispersed Co site is coordinated with four N atoms in the graphene basal plane and one oxygen atom in the axial direction. In-depth experimental and theoretical studies reveal that the axial Co–O coordination breaks the charge distribution symmetry in the planar porphyrin-like Co–N4 structure, leading to significantly enhanced dielectric polarization loss relevant to the planar Co–N4 sites. Importantly, the film based on Co–N4–O/NCF exhibits light weight, flexibility, excellent mechanical properties, great thermal insulating feature, and excellent EMW absorption with a reflection loss of − 45.82 dB along with an effective absorption bandwidth of 4.8 GHz. The findings of this work offer insight into the relationships between the single-atom coordination environment and the dielectric performance, and the proposed strategy can be extended toward the engineering of asymmetrically coordinated single atoms for various applications. [ABSTRACT FROM AUTHOR]

Background: Evidence has shown that the individual metrics in Life's Essential 8 (LE8), an updated cardiovascular health (CVH) concept proposed by the American Heart Association, play a role in the development of inflammatory bowel disease (IBD). However, epidemiological evidence on the overall LE8 on IBD risk remains limited. We aimed to assess the longitudinal associations of LE8-defined CVH and the risks of IBD and its subtypes, ulcerative colitis (UC) and Crohn's disease (CD). We also tested whether genetic susceptibility could modify these associations. Methods: A total of 260,836 participants from the UK Biobank were included. LE8 scores were determined by 8 metrics (physical activity, diet, nicotine exposure, sleep, body mass index, blood pressure, blood glucose, and blood lipids), and were divided into three levels: low CVH (0–49), moderate CVH (50–79), and high CVH (80–100). Cox proportional hazards models were used to calculate the hazard ratios (HRs) and confidence intervals (CIs) of the risk of IBD in relation to CVH status. Results: Over a median follow-up 12.3 years, we documented 1,500 IBD cases (including 1,070 UC and 502 CD). Compared to participants with low CVH, the HRs (95% CIs) of those with high CVH for IBD, UC, and CD were 0.67 (0.52, 0.83), 0.70 (0.52, 0.93), and 0.55 (0.38, 0.80), respectively. These associations were not modified by genetic susceptibility (all P for interactions > 0.05). The lowest HR (UC: 0.30, 95% CI: 0.20–0.45; CD: 0.33, 95% CI: 0.20–0.57) was observed in participants with both high CVH and low genetic risk. Conclusions: Better CVH, defined by LE8, was associated with significantly lower risks of IBD, UC, and CD, irrespective of genetic predisposition. Our results underscore the importance of adherence to LE8 guidelines for maintaining CVH as a potential strategy in the prevention of IBD. [ABSTRACT FROM AUTHOR]

Tough conductive carbon black/nylon66 (CCB/PA66) antistatic composites modified by maleic anhydridegrafted ethylene-vinyl acetate copolymer (EVA-g-MAH) were prepared by twin-screw extrusion and injection molding. The mechanical, melt flow, and antistatic properties of the composites were tested, and the fracture surface morphologies and crystallization behavior of the composites were observed and studied by scanning electron microscopy (SEM) and differential scanning calorimetry (DSC), respectively. The results showed that EVA-g-MAH has good compatibility with PA66. The antistatic properties of PA66 increased with the addition of CCB, however the toughness and processing ability of the composites decreased significantly. The addition of 10% EVA-g-MAH in the 8% CCB/PA66 blend resulted in a 75.4% and 45.1% increase in impact strength and elongation at break, respectively, while maintaining relatively higher tensile strength (50.5 MPa). When the mass fraction of EVA-g-MAH was 20%, the volume resistivity and surface resistance and of 8% CCB/PA66 decreased by 2 to 3 orders of magnitude to 4.3 x 107 Ω · cm and 6.5 x 106 Ω, respectively, due to the selective location of CCB particles in 8% CCB/EVA-g-MAH/PA66. 10% EVA-g-MAH enhanced the crystal formation of PA66 in the 8% CCB/EVA-g-MAH/PA6 composites, however 20% EVA-g-MAH inhibited the crystal formation of PA66. [ABSTRACT FROM AUTHOR]

Electrolytes have recently regained significant attention in rechargeable batteries due to the discovery that the electrolyte microstructures play a determinant role in battery performance. By adjusting the compositions of electrolytes to cater to various functionalities, such as high‐voltage, fast‐charging, wide‐temperature operation, and non‐flammable features, a diverse range of batteries can be developed to adapt to different environmental working conditions. Nevertheless, elucidating the electrolyte microstructures and understanding the associated electrode interfacial behaviors remain challenging. These challenges arise from the interdisciplinary nature of the research, encompassing subjects such as solution chemistry, interface chemistry, electrochemistry, and organic chemistry. This topic holds particular significance because solution chemistry and solution‐solid interface chemistry are ubiquitous in daily lives, yet their behaviors remain unclear due to their inherent complexity, dynamic nature, and rapid variability. In this context, electrolyte and electrolyte‐electrode interface research are used as an illustrative example and summarize their progress from six key perspectives of graphic, quantitation, visualization, standardization, digitization, and intelligence. It is aimed to provide a multi‐faceted understanding of electrolyte microstructures and their behaviors on the electrode interface. This comprehensive approach enables the effective design of electrolytes and enhances the accuracy of predicting battery performance, servicing the development of solution and solution‐solid interface. [ABSTRACT FROM AUTHOR]

Objective: This study investigated the impact of driving styles of drivers and automated vehicles (AVs) on drivers' perception of automated driving maneuvers and quantified the relationships among drivers' perception of AV maneuvers, driver trust, and acceptance of AVs. Background: Previous studies on automated driving styles focused on the impact of AV's global driving style on driver's attitude and driving performance. However, research on drivers' perception of automated driving maneuvers at the specific driving style level is still lacking. Method: Sixteen aggressive drivers and sixteen defensive drivers were recruited to experience twelve driving scenarios in either an aggressive AV or a defensive AV on the driving simulator. Their perception of AV maneuvers, trust, and acceptance was measured via questionnaires, and driving performance was collected via the driving simulator. Results: Results revealed that drivers' trust and acceptance of AVs would decrease significantly if they perceived AVs to have a higher speed, larger deceleration, smaller deceleration, or shorter stopping distance than expected. Moreover, defensive drivers perceived significantly greater inappropriateness of these maneuvers from aggressive AVs than defensive AVs, whereas aggressive drivers didn't differ significantly in their perceived inappropriateness of these maneuvers with different driving styles. Conclusion: The driving styles of automated vehicles and drivers influenced drivers' perception of automated driving maneuvers, which influence their trust and acceptance of AVs. Application: This study suggested that the design of AVs should consider drivers' perceptions of automated driving maneuvers to avoid undermining drivers' trust and acceptance of AVs. [ABSTRACT FROM AUTHOR]

A high‐performance TiO2/GO‐Fe3+/2+‐based N‐type thermo‐electrochemical cell (TEC) is demonstrated and prepared P‐N combined power generator prototypes combining BST/FeCN3‐/4−‐based P‐type TEC that is reported in the previous work. The functional groups on the TiO2/GO in the electrolyte can adjust the solvation structure of Fe3+/2+ to improve the Se value. In addition, TiO2 acts as a relay reaction site to improve charge transport efficiency. The synergistic effect results in Se of 2.53 mV K−1 and a maximum output power density of 0.38 W m−2. Besides, both flexible and rigid power generator prototypes are prepared. It is worth noting that the flexible prototype can generate an open‐circuit voltage of 1.27 V and power an electronic watch by using the temperature difference between the human body and the environment. This work demonstrates the potential of TEC for low‐grade heat energy recovery and powering wearable devices. [ABSTRACT FROM AUTHOR]

Exploring N‐type High‐entropy materials with both high thermoelectric and mechanical properties is highly desirable for all‐high‐entropy thermoelectric generators (TEGs) since the thermoelectric and mechanical properties of N‐type one are largely behind its P‐type counterparts. Herein, a new rock‐salt structure N‐type high entropy thermoelectric AgBiPbSe2S is introduced with a bandgap of ≈0.43 eV. The atomic radii difference of each component results in a large lattice distortion of 0.246, leading to a low thermal conductivity of 0.36 W m−1 K−1 at 823 K. The figure of merit (ZT) reaches 0.6 for AgBiPbSe2S at 823 K. Moreover, Ag2Se precipitates are included in AgBiPbSe2S to filter low energy carriers for high Seebeck coefficients and to scatter phonons with nanoscale wavelength for ultralow lattice thermal conductivities. Consequently, a peak ZT of ≈1.18 at 823 K and an average ZT of 0.60 at 400–823 K are obtained for Ag1.02BiPbSe2S. More importantly, high mechanical properties are also obtained in Ag1.02BiPbSe2S, of which the Vickers hardness and flexural strength are ≈209 Hv and 32 MPa, respectively, originating from the enhanced lattice friction by chemical short‐range disorder (i.e., high entropy effect) and dispersion strengthening caused by Ag2Se nanoprecipitates. [ABSTRACT FROM AUTHOR]

Big data present new opportunities for modern society while posing challenges for data scientists. Recent advancements in sensor networks and the widespread adoption of the Internet of Things (IoT) have led to the collection of physical-sensor data on an enormous scale. However, significant challenges arise in conducting high-quality data analytics within the realm of big data. To uncover big data challenges and enhance data quality, it is essential to quantitatively unveil data characteristics. Furthermore, the existing studies lack analysis of the specific time-related characteristics of physical-sensor data. Enhancing the efficiency and precision of data analytics through the big data lifecycle requires a comprehensive understanding of data characteristics to address the hidden big data challenges. To fill in the research gap, this paper proposes a systematic data characteristic framework based on a 6Vs model. The framework aims to unveil the data characteristics in terms of data volume, variety, velocity, veracity, value, and variability through a set of statistical indicators. This model improves the objectivity of data characteristic understanding by relying solely on data-driven indicators. The indicators related to time-related characteristics in physical-sensor data are also included for the analysis of temporal aspects in the physical-sensor data. Furthermore, the big data challenges are linked to each dimension of the 6Vs model to gain a quantitative understanding of the data challenges. Finally, a pipeline is developed to implement the proposed framework, and two case studies are conducted to illustrate the process of understanding the physical-sensor data characteristics and making recommendations for data preprocessing to address the big data challenges. The proposed framework is able to analyze the characteristics of all physical-sensor data, therefore, identifying potential challenges in subsequent analytics, and providing recommendations for data preprocessing. Furthermore, the characteristic indicators can be used to analyze other types of big data. [ABSTRACT FROM AUTHOR]

The vector information of mountainous roads is great significance, including regional economics, emergency response, disaster management, among others. Nevertheless, there are irregular deformations in existing vector data, coupled with incomplete extraction results for mountainous roadways. These issues pose challenges in establishing a matching model between road extraction results and existing vector data, significantly reducing the efficiency of automated updates for the current vector data. Targeting roads as a distinct artificial feature and leveraging their topological connectivity, we propose a vector data updating method based on matching point pair grouping. Firstly, we employ the SDUNet model to extract mountainous road and utilize the Superglue model to match road binary images with vector binary images, resulting in sets of initial matching point pairs. Subsequently, we propose a road line extraction model that groups matching point pairs, eliminates misaligned pairs based on road topological connectivity, and establishes a mapping relationship between road lines and vector lines. Ultimately, through road line optimization and vector line optimization methods, we accomplish the automatic updating of vector data for mountainous roadways. Through a comprehensive analysis of over 2600 vector data, our method demonstrates substantial advantages in terms of both F1 and IoU compared to alternative methods. [ABSTRACT FROM AUTHOR]

Aim: To analyze the level of knowledge, attitudes, practices, and risk perception regarding COVID-19 among Chinese residents 1.5 years after the pandemic. Subject and methods: A cross-sectional study was carried out with both online and paper questionnaires. We included a variety of covariates that were characteristic-related factors such as age, gender, education level, and retirement status, as well as those closely associated with risk perception regarding COVID-19. Results: Participants (n = 3588), 53.49 ± 18.88 years old, from two provinces of China, of which 44.7% were male and 52.03% had a high school or greater level of education, answered the questions. More than 90% of participants had adequate background knowledge about COVID-19 and agreed or even strongly agreed with many attitude items related to the government's role in diagnosis, treatment, and dealing with COVID-19 infections. About three fifths of the participants reported fear of contracting COVID-19, but only a minority (18.63%) felt they were more susceptible than others. Respondents aged 45 years or younger were more likely to fear contracting the virus than those older than 45 years (adjusted OR = 1.464, 95% CI 1.196 to 1.794, P = 0.0002). High education level (adjusted OR = 1.503, 95% CI 1.187 to 1.904, P = 0.0007) and non-retired status (adjusted OR = 1.679, 95% CI 1.354 to 2.083, P < 0.0001) were associated with a higher perception of susceptibility to infection than others. Moreover, respondents who were not retired had a significantly reduced practice score (adjusted OR = 1.554, 95% CI 1.261 to 1.916, P < 0.0001). Age, retirement status, and education level were also associated with knowledge, attitude, and practice level. Conclusion: Our findings suggest that the public generally has trust in the COVID-19 vaccine and the government with regard to COVID-19 in China. We recommend that high-risk groups of communities, such as elders and patients with chronic diseases, be given greater consideration in the outbreaks. Health education campaigns combined with workplace preventive intervention should be aimed at improving COVID-19 knowledge and beliefs in order to encourage more optimistic attitudes and to maintain safe practices. [ABSTRACT FROM AUTHOR]

The Vlasov–Poisson–Fokker–Planck (VPFP) system is a fundamental model in plasma physics that describes the Brownian motion of a large ensemble of particles within a surrounding bath. Under the high-field scaling, both collision and field are dominant. This paper introduces two Asymptotic-Preserving Neural Network (APNN) methods within a physics-informed neural network (PINN) framework for solving the VPFP system in the high-field regime. These methods aim to overcome the computational challenges posed by high dimensionality and multiple scales of the system. The first APNN method leverages the micro–macro decomposition model of the original VPFP system, while the second is based on the mass conservation law. Both methods ensure that the loss function of the neural networks transitions naturally from the kinetic model to the high-field limit model, thereby preserving the correct asymptotic behavior. Through extensive numerical experiments, these APNN methods demonstrate their effectiveness in solving multiscale and high dimensional uncertain problems, as well as their broader applicability for problems with long time duration and non-equilibrium initial data. [ABSTRACT FROM AUTHOR]

The high precision identification of coal–rock layers is a significant challenge in intelligent mining. There is a large amount of electromagnetic noise and metal reflector signals in the full space detection environment of mining roadway, which makes it hard to distinguish the reflected waves at interface from a set of echo signals generated by the interface due to the similar amplitudes among them. So the method of identifying layers solely based on amplitude characteristics has poor stability and accuracy in coal mining environments. This paper proposes a method for identifying coal–rock layers based on Hilbert transform and tracking–scanning–stacking technology. There are two steps to achieve the recognition of air–coal–rock interfaces. First, by analysing the instantaneous amplitude spectrum obtained from the Hilbert transform, the first extreme point that is always the maximum value within a wavelength range is determined as the rough position of the air–coal interface. To solve the problem of recognition errors caused by noise and energy dispersion, the density difference method is used to remove discrete points. Second, the precise position of the air–coal interface is determined by tracking the extreme points within the 1.5 wavelength range around the rough position, and using the amplitude stacking method to quantitatively analyse and compare the degree of energy concentration. The data between zero time and the reflected waves at the air–coal interface is removed to avoid the impact of them on the recognition of the coal–rock interface. Results of physical model experiments and actual coal mine experiments show that this method yields better results and has high stability compared to conventional recognition method. Moreover, the average relative thickness errors are 4.5% for air layer and 4.2% for coal layer. [ABSTRACT FROM AUTHOR]

As the adoption of distributed energy resources (DERs) grows, the future of electricity distribution systems is confronted with significant challenges. These challenges arise from the transformation of consumers into prosumers and the resulting increased system complexity, leading to more pressure on the distribution grids. To address this complexity, a Digital Twin framework is designed to simulate DERs within distribution grids effectively. This framework is structured around four key modules: DERs, the electricity distribution grid, the energy management system, and the consumers. It incorporates a communication interface to facilitate interactions among these modules and includes considerations for grid topologies and demand-side configurations. The framework allows for the exploration of various DER adoption rates and capacities. The validation of this framework involves case studies on two Danish distribution grids with scenarios incorporating rooftop photovoltaic (PV) systems, batteries, and electric vehicles, considering different combinations of these technologies. The findings demonstrate the framework's ability to depict the states of the grid, PV systems, electric vehicles, and battery systems with a 10 min resolution over periods ranging from a day to over a decade. [ABSTRACT FROM AUTHOR]

The median urinary iodine concentration (UIC) of school-aged children has been commonly used as a surrogate to assess iodine status of a population including pregnant women. However, pregnant women have higher iodine requirements than children due to increased production of thyroid hormones. The aim of the study was to evaluate the iodine status of pregnant women and children as well as their household salt iodine concentration (SIC) in Quzhou, Zhejiang Province, China. Eligible pregnant women and children from all six counties of Quzhou in 2021 were recruited into the study. They were asked to complete a socio-demographic questionnaire and provide both a spot urine and a household table salt sample for the determination of UIC and SIC. A total of 629 pregnant women (mean age and gestation weeks of 29.6 years and 21.6 weeks, respectively) and 1273 school-aged children (mean age of 9 years and 49.8% of them were females) were included in the study. The overall median UIC of pregnant women and children in our sample was 127 (82, 193) μg/L and 222 (147, 327) μg/L, respectively, indicating sufficient iodine status in children but a risk of mild-to-moderate iodine deficiency in pregnant women. Distribution of iodine nutrition in children varied significantly according to their sex and age (P < 0.05). The rate of adequately household iodised salt samples (18–33 mg/kg) provided by pregnant women and children was 92.4% and 90.6%, respectively. In conclusion, our results indicated a risk of insufficient iodine status in pregnant population of China, but iodine sufficiency in school-aged children. Our data also suggested that median UIC of children may not be used as a surrogate to assess iodine status in pregnant women. [ABSTRACT FROM AUTHOR]

Summary: The orthogonal time frequency space (OTFS) transmission scheme was shown to outperform orthogonal frequency division multiplexing (OFDM) under the doubly dispersive channel. In this paper, the linear precoding is studied for multiple‐input and multiple‐out (MIMO) OTFS systems, in which a spatial‐Doppler domain singular value decomposition (SVD) precoding scheme is proposed. At the transmitter, the Doppler domain symbols from different spatial streams are precoded before projected onto multiple antennas for transmission. At the receiver, multipath components of the transmitted symbols in the delay‐Doppler grid are combined by using maximal ratio combining (MRC) strategy, so as to achieve the multipath diversity gain and increase the reception reliability. The achievable rate and complexity of the proposed scheme are analyzed, revealing that it can increase the achievable rate while reducing the detector complexity as well. The simulation results confirm that the SVD‐based precoding significantly enhances the error performance of the MIMO‐OTFS with MRC‐based detector. [ABSTRACT FROM AUTHOR]

Background: Carcass traits are crucial indicators of meat production efficiency. However, the molecular regulatory mechanisms associated with these traits remain unclear. Results: In this study, we conducted comprehensive transcriptomic and genomic analyses on 399 Tiannong partridge chickens to identify key genes and variants associated with carcass traits and to elucidate the underlying regulatory mechanisms. Based on association analyses with the elastic net (EN) model, we identified 12 candidate genes (AMY1A, AP3B2, CEBPG, EEF2, EIF4EBP1, FGFR1, FOXD3, GOLM1, LOC107052698, PABPC1, SERPINB6 and TBC1D16) for 4 carcass-related traits, namely live weight, dressed weight, eviscerated weight, and breast muscle weight. SERPINB6 was identified as the only overlapping gene by 3 analyses, EN model analysis, weighted gene co-expression network analysis and differential expression analysis. Cell-level experiments confirmed that SERPINB6 promotes the proliferation of chicken DF1 cells and primary myoblasts. Further expression genome-wide association study and association analysis indicated that rs317934171 is the critical site that enhances SERPINB6 expression. Furthermore, a dual-luciferase reporter assay proved that gga-miR-1615 targets the 3′UTR of SERPINB6. Conclusions: Collectively, our findings reveal that SERPINB6 serves as a novel gene for chicken carcass traits by promoting fibroblast and myoblast proliferation. Additionally, the downstream variant rs317934171 regulates SERPINB6 expression. These results identify a new target gene and molecular marker for the molecular mechanisms of chicken carcass traits. [ABSTRACT FROM AUTHOR]

Magneto-ionic gating, a procedure that enables the modulation of materials' magnetic properties by voltage-driven ion motion, offers alternative perspectives for emerging low-power magnetic storage and spintronic applications. Most previous studies in all-solid-state magneto-ionic systems have focused on the control of interfacial magnetism of ultrathin (i.e., 1–3 nm) magnetic films, taking advantage of an adjacent ionic conducting oxide, usually GdOx or HfOx, that transports functional ionic species (e.g., H+ or O2−). Here, we report on room-temperature OFF–ON ferromagnetism by solid-state magneto-ionics in relatively thick (25 nm) patterned CoOx films grown on an yttria-stabilized zirconia (YSZ) layer, which acts as a dielectric to hold electric field and as an O2− ion reservoir. Upon negatively biasing, O2− ions from the CoOx tend to migrate toward the YSZ gate electrode, leading to the gradual generation of magnetization (i.e., OFF-to-ON switching of a ferromagnetic state). X-ray absorption and magnetic circular dichroism studies reveal subtle changes in the electronic/chemical characteristics, responsible for the induced magnetoelectric effects in such all-oxide heterostructures. Recovery of the initial (virtually non-magnetic) state is achieved by application of a positive voltage. The study may guide future development of all-solid-state low-power CMOS-compatible magneto-ionic devices. [ABSTRACT FROM AUTHOR]

Electrolyte is critical for transporting lithium‐ion (Li+) in lithium‐ion batteries (LIBs). However, there is no universally applicable principle for designing an optimal electrolyte. In most cases, the design process relies on empirical experiences and is often treated as highly confidential proprietary information. Herein, a solvation structure‐related model for the quantitative design of electrolytes is introduced, focusing on the principles of coordination chemistry. As a paradigmatic example, a high‐voltage electrolyte (i.e., 4.5 V vs anode) aimed at achieving a high energy density and fast charging LIB, which is specifically composed of an emerging, well‐constructed hybrid hard carbon‐silicon/carbon‐based anode, and lithium cobalt oxide cathode, is developed. Not only the functions of each electrolyte component at the molecular scale within the Li+ solvation structure are analyzed but also an interfacial model is introduced to elucidate their relationship with the battery performance. This study represents a pioneering effort in developing a methodology to guide electrolyte design, in which the mutual effects of the Li+ de‐solvation process and solid electrolyte interface (SEI) on the electrode surface are explored concurrently to understand the root cause of superior performance. This innovative approach establishes a new paradigm in electrolyte design, providing valuable insights at the molecular level. [ABSTRACT FROM AUTHOR]

A frame synchronization algorithm based on delay-Doppler domain was proposed for orthogonal time frequency and space (OTFS) modulation systems with a single pilot structure. The signal sparsity and the relative position change of the pilot in the delay-Doppler domain of the received OTFS signals were utilized to identify the frame synchronization location. Simulation results were presented to demonstrate that the proposed scheme outperformed the classic synchronization scheme based on the preamble, which was commonly used in orthogonal frequency division multiplexing (OFDM) systems, in terms of lower synchronization failure rate under high signal-to-noise ratio (SNR) regions. Additionally, the proposed scheme exhibited greater performance advantages over the preamble-based scheme as the moving speed increases, making it a more suitable option for high-speed or even ultra-high-speed mobile communication scenarios. [ABSTRACT FROM AUTHOR]

The microenvironments of metal single‐atoms (SAs) have important effects on their physicochemical properties. However, the understanding of the relationship between the coordination configuration of SAs and their properties is insufficient. Here, a sacrificing template strategy is developed to anchor La‐SAs on interconnected graphene nanocages (La‐N‐Cl/GNC), where La‐SAs are located above the graphene plane and one La atom coordinated with four N atoms in the graphene plane and with one Cl atom along the axial direction. Theoretical calculations demonstrated that asymmetrically La‐SAs are more conducive to breaking local charge symmetry. Consequently, additional electrical dipoles along the axial direction are generated, leading to unprecedented dipolar polarization loss and strong electromagnetic wave absorption properties. Moreover, the film constructed by asymmetrically‐coordinated La‐N‐Cl/GNC with a mass density of 0.084 g cm−3 exhibits superior flexibility, excellent mechanical strength, and moderate thermal insulation properties, guaranteeing its practical applications in harsh environments. These findings not only shed light on the relationships between asymmetrically coordinated SAs and their dielectric properties at the atomic level but also provide an efficient method for preparing multifunctional films. [ABSTRACT FROM AUTHOR]

In the porthole extrusion of complex profiles, the die structure plays a significant role in the formability of the profile. In this study, numerical simulation was conducted to optimize the porthole extrusion die for a complex cross-sectional profile, with the standard deviation of velocity (SDV) as the evaluation criterion. The optimization involved the introduction of pseudo-mandrels, adjustments to the shape of the 2nd-step welding chamber, and modification of the bearing height. The rationality of the optimized die structure was verified through porthole extrusion experiments, and the microstructure and mechanical properties of the profile at different locations were investigated. The results show that the optimized die effectively controlled the metal flow velocity. The actual profiles obtained from the experiments exhibited improved surface quality and avoided defects such as distortion and dimensional errors. The grain size is uniform at different positions of the profile, and the mechanical properties are comparable. The profile meets the performance requirements. This research provides guidance for the practical production of the profiles. [ABSTRACT FROM AUTHOR]

High temporal resolution geostationary hyperspectral infrared sounders can simultaneously profile atmospheric temperature and moisture, and track moisture features to provide 3D horizontal winds in clear and partially cloudy scenarios. The thermodynamic information obtained has been integral to enhancing tropical cyclone (TC) forecasts. However, the potential benefits derived from the dynamic information provided by geostationary hyperspectral infrared sounders (GeoHIS) are yet to be fully comprehended for numerical weather prediction (NWP). With the re‐estimated observation error and multivariate hydrometeor background error covariance, the 3D horizontal winds from the Geostationary Interferometric Infrared Sounder (GIIRS) are synergistically assimilated with the hydrometeor information. The impact of the GIIRS‐derived 3D horizontal wind assimilation on Typhoon Maria (2018) and Lekima (2019) analysis and forecast are evaluated. The results show that the assimilating GIIRS‐derived 3D horizontal wind notably reduces the RMSEs of analysis and forecast, particularly in the U and V components. The improvement in accuracy of large‐scale fields substantially enhances the forecasts of typhoons' track and maximum wind speed, as well as the central sea‐level pressure. Moreover, the prediction of the spatial distribution and intensity for landfall precipitation is also improved. The detailed diagnoses of the Maria show that a more southerly subtropical high generated by the additional horizontal wind assimilation improves the rainfall spatial distribution, and the reasonable water vapor transportation caused by the improved dynamic conditions corrects the precipitation intensity. This work highlights the importance of dynamic information in TC forecasting and emphasizes the need for efficient and high‐precision 3D wind measurements to improve NWP. Plain Language Summary: Accurately describing atmospheric winds is vital in weather forecasting, particularly in predicting severe weather such as typhoons. High temporal resolution measurements from geostationary hyperspectral infrared sounder (GeoHIS) offer the weather cube of atmospheric temperature and moisture and provide three‐dimensional (3D) horizontal wind profiles by tracking the moisture features. With upcoming more hyperspectral sounders being deployed in the geostationary ring on operational geostationary weather satellites, it is essential to understand the benefit of dynamic information for numerical weather prediction (NWP). Using 3D wind experimental data from a high temporal resolution Geostationary Interferometric Infrared Sounder (GIIRS) onboard FengYun‐4A, the observation errors are characterized, and cycling assimilation and forecasting experiments are conducted to assess the impact of assimilating 3D wind for Typhoon Maria (2018) and Typhoon Lekima (2019). Improving the model's initial conditions with GIIRS‐derived 3D winds enhances the typhoons' track and intensity forecast accuracy. It helps correct the biased forecast of rainfall spatial distribution and intensity after the typhoons made landfall. The improvements are primarily due to the typhoon's better environmental conditions, particularly the more accurate dynamical conditions, which result in the correction of subtropical high position and water vapor transport. This study emphasizes the need for 3D wind observations and the benefit of weather forecasting, especially in predicting extreme weather events such as tropical cyclones. Accurate wind measurements can help us prepare and respond better to potentially dangerous weather phenomena. Key Points: GIIRS‐derived 3D horizontal wind provides key dynamic information for NWP model and is synergistically assimilated with other observationsAssimilating GIIRS‐derived 3D horizontal wind improves typhoon analysis and forecasting, especially track, intensity, and precipitationSynergistic assimilation of geostationary satellite dynamic and hydrometeor data improves rainfall forecast by optimizing water vapor transportation [ABSTRACT FROM AUTHOR]

Ultrasonic vibration-assisted (UVA) cutting is an advanced technique to improve the machinability and productivity of difficult-to-machine materials. This paper aims to assess the cutting performance of ultrasonic vibration-assisted milling (UVAM) technique and conventional milling (CM) in side milling of Ti–6Al–4 V. Tool trajectory and instantaneous chip thickness are calculated considering tool runout, vibration, and deflection. The geometric-kinematic-dynamic surface topography matrix and its corresponding material elastic recovery height matrix are reconstructed based on tool trajectory and cutting thickness, which are then summed to obtain the geometric-kinematic-dynamic-physical surface topography matrix. Finally, roughness parameters Ra and Rz are predicted based on the final reconstructed physical surface topography matrix. Experimental results show that Ra and Rz of UVAM are on average 26 and 39% greater, respectively, compared to CM due to the presence of high-frequency ultrasonic vibration-induced texture patterns in the feed grooves. The average prediction error for Ra and Rz is 23%, proving the validity of the prediction model. UVAM reduces the radial and tangential cutting force coefficients and ploughing force coefficients compared to CM due to the separation and impact effect of ultrasonic vibration. However, UVAM leads to an increase in the axial ploughing force coefficient because ultrasonic vibration introduces relative motion and friction between the tool and the workpiece in the axial direction. [ABSTRACT FROM AUTHOR]