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This study aimed to investigate the influence of variable thickness on the mechanical properties of thin-walled twelve right-angle section tubes (TTRSTs) through numerical characterization. This paper introduced the TTRSTs with different thicknesses for sides and webs. The three-point bending finite element model correlated with the physical test was built up and modified to find the lowest initial peak force (IPF), maximum specific energy absorption (SEA), and highest mean crushing force (MCF). Effects of variable thickness as well as impact location on the energy absorption performance of TTRSTs were investigated, suggesting that the energy absorption performance was more sensitive to side plate thickness changes than web plate thickness changes in web plate impacts. In addition, the TTRSTs with about 2.5 mm thickness demonstrated the highest SEA. Optimal Latin hypercube design (Opt LHD), response surface method (RSM), and NSGA-II were employed to optimize the TTRST multiobjectively under different impact loadings. The optimized results highlight that the TTRSTs can reach a 46.92% lower initial peak force or 2.61% higher MCF with minor SEA by selecting the appropriate thickness for impacts at different locations. [ABSTRACT FROM AUTHOR]

The increasing use of rock‐socketed piles highlights the importance of developing a suitable design method for their bearing capacity. This study quantifies the shear behavior of the rock–pile interface, which generally dominates the bearing capacity of rock‐socketed piles under service load. A micromechanics‐based rock–pile interface model with idealized nonuniform profile is proposed with two enhancements: (1) the slip line method together with nonlinear Hoek–Brown failure criteria is integrated to identify the critical shear displacement of rock asperity; and (2) the residual stage of shear behavior is properly considered with the rounding progress of sheared rubbles. The enhanced interface model is first validated by the direct shear test results under constant normal stiffness. Then, the interface model is implemented via user‐defined FRIC into the finite element code ABAQUS without the need of explicitly building the rock–pile interface profile. Accordingly, the model is applied to simulate and analyze two field cases involving rock‐socketed piles. Comparison between the predictions and field observed results shows this method can well capture the axial load transfer behavior of pile socket into weak rock. [ABSTRACT FROM AUTHOR]

Nitazoxanide (NTZ) is an effective antiparasitic drug with potent antiviral and antimicrobial activity. This randomized, open‐label, 2‐sequence, 2‐period crossover trial was designed to evaluate the bioequivalence (BE) of the NTZ dry suspension in healthy subjects and investigated the effect of food intake on the pharmacokinetic (PK) properties of tizoxanide (an active metabolite of NTZ, TIZ). Sixty healthy Chinese subjects were enrolled and received a single dose of 500 mg/25 mL of preparations on days 1 and 4 under overnight fasting or fed conditions, respectively. The plasma concentration of TIZ was determined using high‐performance liquid chromatography/tandem mass spectrometry. PK parameters were calculated using WinNonlin 8.2 and BE was evaluated using SAS 9.4. The 90% confidence intervals for the geometric mean ratio (test/reference) of maximum concentration (Cmax), the area under the curve from time 0 to the time of the last quantifiable concentration (AUC0‐t), and the area under the curve from time 0 to extrapolation to infinity (AUC0‐∞) were all within the equivalent interval of 80%‐125%, compliant with BE requirements. In comparison with fasting, on taking the reference and test preparations of the NTZ dry suspension after a meal, the AUC0‐t increased by 48.9% and 47.3%, respectively, the AUC0‐∞ increased by 48.4% and 48.3%, respectively, and the post‐meal Tmax was prolonged by 1.8‐2 hours. Our results demonstrate that the test and reference preparations were bioequivalent. High‐fat meals significantly improve the degree of drug absorption and delay the rate of drug absorption. [ABSTRACT FROM AUTHOR]

Sarcopenia is a significant geriatric syndrome that involves the loss of skeletal muscle mass and strength. Due to its substantial endocrine role, the metabolic microenvironment of skeletal muscle undergoes changes with age. Examining the pathogenesis of sarcopenia through focusing on metabolic dysregulation could offer insights for developing more effective intervention strategies. In this study, we analyzed the transcriptomics data to identify specific genes involved in the regulation of metabolism in skeletal muscle during the development of sarcopenia. Three machine learning algorithms were employed to screen key target genes exhibiting strong correlations with metabolism, which were further validated using RNA‐sequencing data and publicly accessible datasets. Among them, the metabolic enzyme nicotinamide N‐methyltransferase (NNMT) was elevated in sarcopenia, and predicted sarcopenia with an area under the curve exceeding 0.7, suggesting it as a potential therapeutic target for sarcopenia. As expected, inhibition of NNMT improved the grip strength in aging mice and alleviated age‐related decline in the mass index of the quadriceps femoris muscles and whole‐body lean mass index. Additionally, the NNMTi treatment increased the levels of nicotinamide adenine dinucleotide (NAD+) content, as well as PGC1α and p‐AMPK expression in the muscles of both the D‐galactose‐treated mouse model and naturally aging mouse model. Overall, this work demonstrates NNMT as a promising target for preventing age‐related decline in muscle mass and strength. [ABSTRACT FROM AUTHOR]

Due to the unique structures, van der Waals (vdW) materials have advantages over traditional magnetothermal materials in manipulating magnetothermal properties through structural modification and in cooling applications in nanodevices. Here, we study the magnetothermal properties of vdW ferromagnet Fe5GeTe2 with Curie temperature around room temperature. The results show that Fe5GeTe2 is a second-order magnetic phase transition material, and its in-plane and out-of-plane values of relative cooling power are large up, respectively, to 299.3 and 269.2 J/kg for a field change of 5 T. Compared to other vdW materials reported, Fe5GeTe2 has the greatest potential for room-temperature magnetic cooling applications. [ABSTRACT FROM AUTHOR]

[Display omitted] • A sorting strategy was proposed to improve the pyrolytic homogeneity of MSW. • An index (C) was established to quantify the sorting performance for Ea and logA. • The strategy outperformed traditional ones in pyrolytic homogeneity enhancement. • M3 model showed optimal C_Ea (1578.30 kJ/mol) and C_logA (93.11 -log min). Heterogeneity of pyrolytic parameters in municipal solid waste (MSW) significantly hinders its waste-to-energy efficiency. So far, hardly any light has been shed on current pyrolytic heterogeneity conditions or feasible pyrolytic homogeneity enhancement approaches of MSW. Accordingly, pyrolytic properties (E a and logA) of 130 MSW samples in 6 categories were collected from literature. A kinetic parameters clustering-based sorting strategy for MSW was proposed. A so-called C index was established to compare their sorting performance for E a and logA against two traditional sorting strategies (substance categorization and density clustering). Results showed that the proposed sorting strategies outperformed the traditional ones in pyrolytic homogeneity enhancement, where the optimal C_E a and C_logA reached 1578.30 kJ/mol and 93.11 -log min. Among investigated clustering methods, k-means clustering outperformed hierarchical clustering, which could be attributed to its adaptability to the sample structure. Future perspectives involving data set expansion, model framework development, and downstream technologies matching were also discussed. The index C established in this study can be used to evaluate other clustering models. [ABSTRACT FROM AUTHOR]

The practical implementation of massive multi-user multi-input–multi-output (MU-MIMO) downlink communication systems power amplifiers that are energy efficient; otherwise, the power consumption of the base station (BS) will be prohibitive. Constant envelope (CE) precoding is gaining increasing interest for its capability to utilize low-cost, high-efficiency nonlinear radio frequency amplifiers. Our work focuses on the topic of CE precoding in massive MU-MIMO systems and presents an efficient CE precoding algorithm. This algorithm uses an alternating minimization (AltMin) framework to optimize the CE precoded signal and precoding factor, aiming to minimize the difference between the received signal and the transmit symbol. For the optimization of the CE precoded signal, we provide a powerful approach that integrates the majorization-minimization (MM) method and the fast iterative shrinkage-thresholding (FISTA) method. This algorithm combines the characteristics of the massive MU-MIMO channel with the second-order Taylor expansion to construct the surrogate function in the MM method, in which minimizing this surrogate function is the worst-case of the system. Specifically, we expand the suggested CE precoding algorithm to involve the discrete constant envelope (DCE) precoding case. In addition, we thoroughly examine the exact property, convergence, and computational complexity of the proposed algorithm. Simulation results demonstrate that the proposed CE precoding algorithm can achievean uncoded biterror rate (BER) performance gain of roughly 1 dB compared to the existing CE precoding algorithm and has an acceptable computational complexity. This performance advantage also exists when it comes to DCE precoding. [ABSTRACT FROM AUTHOR]

Xylariomycetidae comprises extremely diverse taxa that are widespread on decaying wood worldwide. An investigation of the diversity of microfungi on oil tree plantations in Sichuan Province was conducted during 2020–2021. Twelve saprobic taxa representing five species were identified as members of Amphisphaeriales and Xylariales through morphological comparisons. Phylogenetic analyses of combined ITS, LSU, rpb2, tub2 and tef1 sequence data indicated a distinct clade formed by three strains within Xylariomycetidae, unrelated to any currently recognized families. Thus, a novel anthostomella-like genus, Bicellulospora, is proposed and treated as Xylariales genera incertae sedis. Bicellulospora is characterized by dark brown to black, immersed, subglobose ascomata with a clypeus, cylindrical asci, and hyaline to yellowish brown, inequilaterally ellipsoidal ascospores with a large upper cell and a dwarf lower cell. Two new species of Amphisphaeria, namely A. oleae and A. verniciae, are introduced based on multi-gene phylogenetic analyses (ITS, LSU, rpb2 and tub2) coupled with morphological characteristics. Amphisphaeria micheliae and Endocalyx ptychospermatis are reported as new host records. [ABSTRACT FROM AUTHOR]

ProBDNF is the precursor protein of brain‐derived neurotrophic factor (BDNF) expressed in the central nervous system and peripheral tissues. Previous studies showed that the blood levels of both proBDNF and p75 neurotrophic receptors (p75NTR) in major depressive disorder (MDD) were increased, but which blood cell types express proBDNF and its receptors is not known. Furthermore, the relationship between proBDNF/p75NTR and inflammatory cytokines in peripheral blood of MDD is unclear. Peripheral blood mononuclear cells (PBMCs) and serum were obtained from depressive patients (n = 32) and normal donors (n = 20). We examined the expression of proBDNF and inflammatory markers and their correlative relationship in patients with major depression. Using flow cytometry analysis, we examined which blood cells express proBDNF and its receptors. Finally, the role of proBDNF/p75NTR signal in inflammatory immune activity of PBMCs was verified in vitro experiments. Inflammatory cytokines in PBMC from MDD patients were increased and correlated with the major depression scores. The levels of IL‐1β and IL‐10 were also positively correlated with the major depression scores, while the levels of TNF‐α and IL‐6 were negatively correlated with the major depression scores. Intriguingly, the levels of sortilin were positively correlated with IL‐1β. Q‐PCR and Western blots showed proBDNF, p75NTR, and sortilin levels were significantly increased in PBMCs from MDD patients compared with that from the normal donors. Flow cytometry studies showed that proBDNF and p75NTR were present mainly in CD4+ and CD8+ T cells. The number of proBDNF and p75NTR positive CD4+ and CD8+ T cells from MDD patients was increased and subsequently reversed after therapeutic management. Exogenous proBDNF protein or p75ECD‐Fc treatment of cultured PBMC affected the release of inflammatory cytokines in vitro. ProBDNF promoted the expression of inflammatory cytokines, while p75ECD‐Fc inhibited the expression of inflammatory cytokines. Given there was an inflammatory response of lymphocytes to proBDNF, it is suggested that proBDNF/p75NTR signaling may upstream inflammatory cytokines in MDD. Our data suggest that proBDNF/p75NTR signaling may not only serve as biomarkers but also may be a potential therapeutic target for MDD. [ABSTRACT FROM AUTHOR]

To test the hypothesis that dysregulated wound healing is associated with Urogynecologic mesh complications, we collected vaginal cell secretions using vaginal swabs after polypropylene mesh implantation in patients with (N = 39) and without (N = 40) complication. A customized multiplex immunoassay measured markers of inflammation (MCP-1, IGFBP-1, IL-2, IL-10, IL-17, PDGF-BB, bFGF, IL-1b, IL-6, IL-12p70, TNF-α), neuroinflammation (IL-1RA, TGF-β, IL-15, IL-18, IL-3, M-CSF), angiogenesis (VEGF), and matrix proteins (fibronectin, tenasin c, thrombospondin-2, lumican) between groups. Patients with complications were younger, heavier, implanted with mesh longer, and more likely to be ever smokers. A 5 kg/m2 BMI increase and ever-smoking were associated with a 2.4-fold and sixfold increased risk of complication, respectively. Patients with the highest tertile of bFGF, fibronectin, thrombospondin-2, TNF-β, or VEGF had an odds ratio (OR) of 11.8 for having a mesh complication while ≥ 3 elevated had an OR of 237 while controlling for age, BMI, and smoking. The highest tertile of bFGF, thrombospondin-2, and fibronectin together perfectly indicated a complication (P < 0.0001). A receiver-operator curve for high bFGF, thrombospondin-2, and fibronectin showed excellent discrimination between complications and controls (AUC 0.87). These data provide evidence of dysregulated wound healing in mesh complications. Modifiable factors provide potential targets for patient counseling and interventions. [ABSTRACT FROM AUTHOR]

In most full-scale fatigue tests of wind turbine blades, only longitudinal strains are considered in the calculation of damage, while the effects of transverse and tangential strains are ignored, which will lead to varied damage inflicted on different parts of the blade. To analyze this problem, this paper conducted uniaxial and biaxial fatigue tests on a 52.5-meter wind turbine blade and recorded the strain response at each cross section. The test results show that transverse and tangential strains are greater than longitudinal strains in some cross sections of the blade. Then, a cross section of the blade was modeled and simulated using ABAQUS to analyze the strain relationships at other locations on the blade. The strain response at different locations on the blade was also examined, and the simulation results showed that both the transverse and longitudinal strain values for this cross section varied significantly. In addition, the multiaxial strain varies greatly with different loading methods. The strain pattern in the trailing edge panel region is very complex. Therefore, the damage calculation and life prediction of the blade should consider the effect of multiaxial strain, which provides a powerful reference for the subsequent improvement of the multiaxial fatigue damage calculation method and the design of the fatigue test program for large wind turbine blades. [ABSTRACT FROM AUTHOR]

In order to explore the affluence of empty hole on the propagation of biasing cracks, an empty hole blasting damage model is established by comb mg ANSYS/LS-DYNA finite dement software. The equation of stress distribution n the rock mass near the empty hole is deduced theoretically, and the Influence of empty whole effect on the fracture mechanism and crack propagation is analyzed. The results show that the free surface effect of empty hole will cause the sudden Increase of impact pressure and the change of seismic velocity near the empty hole, which leads to the phenomenon of "falling" of rock at the blasting surface. The shock velocity at the back surface of the empty hole is significantly smaller than that at the front surface, which indicates that the empty hole has a good effect of pressure relief and shock reduction. By comparing the analytical solution of the impact pressure and the radius of the fracture zone with the numerical calculation results it is found that the error rate of the impact pressure is 11.81%, and the error of the rams of the fracture zone is only 9.49%, which proves the accuracy of the simulation results in this paper. [ABSTRACT FROM AUTHOR]

In this study, to explore the effect of growth hormone changes on the related genes and regulatory roles of the turtle, PCR amplification, real-time fluorescence quantitative analysis, and enzyme cutting technology were used to clone and sequence the somatostatin (SS) gene, growth hormone receptor (GHR), and insulin-like growth factor-1 (IGF-I) sequence of Chinemys reevesii. The effects of human growth hormone on the mRNA expression of growth-axis-related genes SS, GHR, and IGF-1 in different sexes were observed. The study of the SS gene in turtles using real-time fluorescence quantitative PCR showed that the SS gene was mainly expressed in the nervous system and the digestive system, with the highest expression found in the brain, while the GHR gene and the IGF-I gene were expressed in all tissues of Chinemys reevesii. The SS gene was expressed in the brain, pituitary, liver, stomach, and intestine, with the highest expression in the brain and the lowest expression in the liver. Within 4 weeks of the injection of exogenous growth hormone, the expression level of the SS gene in the brain of both sexes first increased and then decreased, showing a parabolic trend, and the expression level of the experimental group was lower than that of the control group. After the injection of growth hormone (GH), the expression of the GHR gene in the liver of both sexes showed a significant increase in the first week, decreasing to the control group level in the second week, and then gradually increasing. Finally, a significant level of difference in the expression of the GHR gene was reached at 3 and 4 weeks. In terms of the IGF-I gene, the changing trend of the expression level in the liver was the same as that of the GHR gene. After the injection of exogenous growth hormone, although the expression of the SS gene increased the inhibition of the secretion of the GHR gene by the Reeves' turtle, exogenous growth hormone could replace the synthesis of GH and GHR, accelerating the growth of the turtle. The experiments showed that the injection of recombinant human growth hormone affects the expression of SS, GHR, and IGF-1 genes, and promotes the growth of the Reeves' turtle. [ABSTRACT FROM AUTHOR]

A Conductor on Round Core (CORC) cable wound with a high-temperature superconductor is an important cable concept for high-current density applications. It is widely used in large power systems because of its advantages of good flexibility and high engineering current density. However, the complex design structure of CORC cable makes it very difficult to understand its electromagnetic properties (such as AC loss). In particular, the different winding directions of each layer in multi-layer cable have a great influence on its electromagnetic characteristics. In this paper, the H-method is used to solve the electromagnetism and mechanics equations. The influence of the winding direction of CORC cable on its electromagnetic field distribution characteristics, AC loss, and mechanical variation under the action of external magnetic field is investigated. The AC loss study of single-layer cable reveals that when the applied magnetic field is increased from 0.01 to 0.02 and 0.03 T, the AC loss peak of the cable increases by 107 and 103 orders of magnitude, respectively, indicating that the effect of low applied magnetic field on the AC loss of the cable is more significant. For multi-layer cables, cables with opposite winding directions have a greater depth of current density penetration than cables with the same winding direction. In addition, the mechanical variations of multi-layer cables with different winding orientations are explored. The results show that the Mises stress in the cable with the same winding direction is about 32% higher than that of the cable with the opposite winding direction, which indicates that the method of winding the cable in the opposite direction between adjacent layers of tape can avoid excessive mechanical stress. [ABSTRACT FROM AUTHOR]

A chiral pillar[3]trianglimine (C60H72N6O6) with a deep cavity has been developed as a chiral selector and bonded to thiolated silica by thiol‐ene click reaction to fabricate a novel chiral stationary phase for enantioseparation in high‐performance liquid chromatography. The enantioseparation performance of the fabricated chiral stationary phase has been evaluated by separating various racemic compounds, including alcohols, esters, amines, ketones, amino acids, and epoxides, in both normal‐phase and reversed‐phase elution modes. In total, 14 and 17 racemates have been effectively separated in these two separation modes, respectively. In comparison with two widely used chiral columns (Chiralcel OD‐H and Chiralpak AD‐H), our novel chiral stationary phase offered good chiral separation complementarity, separating some of the tested racemates that could not be separated or were only partially separated on these two commercial columns. The influences of analyte mass, mobile phase composition, and column temperature on chiral separation have been investigated. Good repeatability, stability, and column‐to‐column reproducibility of the chiral stationary phase for enantioseparation have been observed. After the fabricated column had been eluted up to 400 times, the relative standard deviations (n = 5) of resolution (Rs) and retention time of the separated analytes were < 0.39% and < 0.20%, respectively. The relative standard deviations (n = 3) of Rs and retention time for column‐to‐column reproducibility were < 4.6% and < 5.2%, respectively. This study demonstrated that the new chiral stationary phase has great prospects for chiral separation in high‐performance liquid chromatography. [ABSTRACT FROM AUTHOR]

Background: Increasing evidence suggests that hepatocellular carcinoma (HCC) stem cells (LCSCs) play an essential part in HCC recurrence, metastasis, and chemotherapy and radiotherapy resistance. Multiple studies have demonstrated that stemness-related genes facilitate the progression of tumors. However, the mechanism by which stemness-related genes contribute to HCC is not well understood. Here, we aim to construct a stemness-related score (SRscores) model for deeper analysis of stemness-related genes, assisting with the prognosis and individualized treatment of HCC patients.Further, we found that the gene LPCAT1 was highly expressed in tumor tissues by immunohistochemistry, and sphere-forming assay revealed that knockdown of LPCAT1 inhibited the sphere-forming ability of hepatocellular carcinoma cells. Methods: We used the TCGA-LIHC dataset to screen stemness-related genes of HCC from the MSigDB database. Prognosis, tumor microenvironment, immunological checkpoints, tumor immune dysfunction, rejection, treatment sensitivity, and putative biological pathways were examined. Random forest created the SRscores model. The anti-PD-1/anti-CTLA4 immunotherapy, tumor mutational burden, medication sensitivity, and cancer stem cell index were compared between the high- and low-risk score groups. We also examined risk scores for different cell types using single-cell RNA sequencing data and correlated transcription factor activity in cancer stem cells with SRscores genes. Finally, we tested core marker expression and biological functions. Results: Patients can be divided into two subtypes (Cluster1 and Cluster2) based on the TCGA-LIHC dataset's identification of 11 stemness-related genes. Additionally, a SRscores was developed based on subtypes. Cluster2 and the group with the lowest SRscores had superior survival and immunotherapy response than Cluster1 and the group with the highest SRscores. The group with a high SRscores was significantly more enriched in classical tumor pathways than the group with a low SRscores. Multiple transcription factors and SRscores genes are correlated. The core gene LPCAT1 is highly expressed in rat liver cancer tissues and promotes tumor cell sphere formation. Conclusion: A SRscores model can be utilized to predict the prognosis of HCC patients as well as their response to immunotherapy. [ABSTRACT FROM AUTHOR]

The construction industry has become one of the main drivers of the increase in carbon emissions and subsequent climate change. In this study, we focused on building carbon neutrality design and used CiteSpace V.6.2.R2 to conduct bibliometric analysis of published papers (2008–2023). After the initial screening, 280 pieces of relevant literature were obtained, including reviews, research papers, and case studies. Following further screening and excluding duplicate literature articles, 50 pieces of literature were ultimately selected as references for this paper, covering various aspects of key scientific issues, implementation approaches, and emerging research frontiers in carbon-neutral design for buildings. The research results show that significant progress has been made in energy conservation, materials, structures, systems, and operations in the research on carbon-neutral design for buildings. However, there are still issues, such as unclear implementation paths for carbon-neutral design, incomplete lifecycle assessment of carbon-neutral design, and high cost of carbon neutrality technologies in current research. Therefore, further research on the overall concept of carbon-neutral design, the progress and implementation of carbon neutrality technologies, and the integration of carbon-neutral design with sustainable development concepts are necessary. To sum up, this paper presents a thorough overview of the advancements in carbon-neutral design for buildings, examines the existing research challenges, and suggests potential avenues for future research. This paper's findings can provide guidance for researchers, policymakers, and practitioners to promote the development and application of carbon-neutral design for buildings and to achieve sustainable development goals. [ABSTRACT FROM AUTHOR]

[Display omitted] • This paper discussed the chemical insights behind BW fast characterization method. • A novel dimensional reduction method with physical significance was proposed. • The performance of the novel dimensional reduction method was compared with PCA. • The fundamentals of the input spectra on the output characteristics were explored. The combination of machine learning and infrared spectroscopy was reported as effective for fast characterization of biomass and waste (BW). However, this characterization process is lack of interpretability towards its chemical insights, leading to less satisfactory recognition for its reliability. Accordingly, this paper aimed to explore the chemical insights of the machine learning models in the fast characterization process. A novel dimensional reduction method with significant physicochemical meanings was thus proposed, where the high loading spectral peaks of BW were selected as input features. Combined with functional groups attribution of these spectral peaks, the machine learning models established based on the dimensionally reduced spectral data could be explained with clear chemical insights. The performance of classification and regression models between the proposed dimensional reduction method and principal component analysis method was compared. The influence mechanism of each functional group on the characterization results were discussed. C H deformation, C C stretch & C O stretch and ketone/aldehyde C O stretch played essential roles in C, H/ LHV and O prediction, respectively. The results of this work demonstrated the theoretical fundamentals of the machine learning and spectroscopy based BW fast characterization method. [ABSTRACT FROM AUTHOR]

The shift toward renewable energy has become a global trend today. In the past, power producers or the private sector were encouraged to install renewable energy equipment mainly through incentives (e.g., feed-in tariff, tax credits). Some countries also impose "renewable portfolio standards", which mandate power producers to include RE. However, it is rare to see any mandatory requirements on electricity users anywhere in the world. Since 2018, Taiwan's government has started to draft the RPS-TW to establish such obligation; but as a new mechanism, the greatest challenge lies in formulating feasible requirements that are apt to Taiwan's circumstances. This study aimed to assist Taiwan's government in this effort by formulating content that was feasible and meets external expectations regarding the applicable entities, scope, and methods of fulfillment. Once the draft had been revised accordingly, the public (electricity users, environmental groups, general public) were actively consulted, and the draft was modified and optimized based on widely collected feedback. The regulations were ultimately promulgated on 31 December 2020. [ABSTRACT FROM AUTHOR]

REBa2Cu3Ox (REBCO) tapes with high critical temperature, high critical current density, and preferably mechanical properties have been put into use in various industries. Nonetheless, its complex anisotropy and "error field" caused by the screening currents are still challenges for commercial applications. In this paper, the influence of with or without ferromagnetic substrate on the AC loss of superconducting composite tapes is first explored. It is discovered that the above and below superconducting tapes #1 and #3 have the screening effect on the middle superconducting tape #2. Then, the REBCO high-field coils were equated based on the anisotropic homogenization technique, and the distribution characteristics of the electromagnetic field, AC loss, and Lorentz force of the equivalent REBCO high-field coils are calculated. By investigating the performance characteristics of the central magnetic field, it is found that the screening current has an effect on the central magnetic field and critical current density of the coils. Moreover, the magnetic field induced by the screening current can reach a maximum of 0.8 T, which results in a 7.8% "error field" at the center of the REBCO high-field coils. Simultaneously, the screening current also reduces the critical current density at the top and bottom of the coils. Finally, the distribution law of current density and radial Lorentz force in different engineering turns in the fully charged state is investigated. The results prove that the Lorentz force generated by screening current is approximately 2.7 times greater than that of non-screening current (copper coils). [ABSTRACT FROM AUTHOR]

• A novel BINOL-based chiral polyimine macrocycle bonded silica CSP was prepared. • Excell enantioselectivity of the CSP in both NP-HPLC and RP-HPLC. • Good chiral separation complementarity to Chiralpak AD-H and Chiralcel OD-H columns. • Great potential of BINOL-based chiral macrocycle for HPLC enantioseparation. Macrocycles play vital roles in supramolecular chemistry and chromatography. 1,1′-Bi-2-naphthol (BINOL)-based chiral polyimine macrocycles are an emerging class of chiral macrocycles that can be constructed by one-step aldehyde-amine condensation of BINOL derivatives with other building blocks. These macrocycles exhibit good characteristics, such as facile preparation, rigid cyclic structures, multiple chiral centers, and defined molecular cavities, that make them good candidates as new chiral recognition materials for chromatographic enantioseparations. In this study, a BINOL-based [2+2] chiral polyimine macrocycle was synthesized by one-step condensation of enantiopure (S)-2,2′-dihydroxy-[1,1′-binaphthalene]-3,3′-dicarboxaldehyde with (1R,2R)-1,2-diaminocyclohexane. The product was modified with 5-bromo-1-pentene and then attached to thiolated silica using click chemistry to construct a new chiral stationary phase (CSP). The enantioselectivity of the new CSP was explored by separating various racemates under normal phase (NP) and reversed phase (RP) high performance liquid chromatography (HPLC). Thirteen racemates and eight racemates were enantioseparated under the two separation modes, respectively, including chiral alcohols, phenols, esters, ketones, amines, and organic acids. Among them, nine racemates achieved baseline separation under NP-HPLC and seven racemates achieved baseline separation under RP-HPLC. High resolution separation was observed with benzoin (Rs = 5.10), epinephrine (Rs = 4.98), 3-benzyloxy-1,2-propanediol (Rs = 4.42), and 4,4′-dimethylbenzoin (Rs = 4.52) in NP-HPLC, and with 4-methylbenzhydrol (Rs = 4.72), benzoin ethyl ether (Rs = 3.79), 1-phenyl-1-pentanol (R s = 3.68), and 1-(3-bromophenyl)ethanol (Rs = 3.60) in RP-HPLC. Interestingly, the CSP complemented Chiralcel OD-H, Chiralpak AD-H, and CYCLOBOND I 2000 RSP columns for resolution of these test racemates, separating several racemic compounds that could not be well separated by the three commercially available columns. The influences of injected sample amount on separation were also evaluated. It was found that the column exhibited excellent stability and reproducibility after hundreds of injections, and the relative standard deviations (n = 5) of the retention time and resolution were less than 0.49% and 0.69%, respectively. This study indicates that the BINOL-based chiral macrocycle has great potential for HPLC enantioseparation. [ABSTRACT FROM AUTHOR]

Reliable identification of high-risk older adults who are likely to develop sarcopenia is essential to implement targeted preventive measures and follow-up. However, no sarcopenia prediction model is currently available for community use. Our objective was to develop and validate a risk prediction model for calculating the 1-year absolute risk of developing sarcopenia in an aging population. One prospective population-based cohort of non-sarcopenic individuals aged 60 years or older were used for the development of a sarcopenia risk prediction model and model validation. Sarcopenia was defined according to the 2019 Asian Working Group for Sarcopenia consensus. Stepwise logistic regression was used to identify risk factors for sarcopenia incidence within a 1-year follow-up. Model performance was evaluated using the area under the receiver operating characteristics curve (AUROC) and calibration plot, respectively. The development cohort included 1042 older adults, among whom 87 participants developed sarcopenia during a 1-year follow-up. The PRE-SARC (PREdiction of SARCopenia Risk in community older adults) model can accurately predict the 1-year risk of sarcopenia by using 7 easily accessible community-based predictors. The PRE-SARC model performed well in predicting sarcopenia, with an AUROC of 87% (95% CI, 0.83-0.90) and good calibration. Internal validation showed minimal optimism, with an adjusted AUROC of 0.85. The prediction score was categorized into 4 risk groups: low (0%-10%), moderate (>10%-20%), high (>20%-40%), and very high (>40%). The PRE-SARC model has been incorporated into an online risk calculator, which is freely accessible for daily clinical applications (https://sarcopeniariskprediction.shinyapps.io/dynnomapp/). In community-dwelling individuals, the PRE-SARC model can accurately predict 1-year sarcopenia incidence. This model serves as a readily available and free accessible tool to identify older adults at high risk of sarcopenia, thereby facilitating personalized early preventive approaches and optimizing the utilization of health care resources. [ABSTRACT FROM AUTHOR]

Systemic lupus erythematosus (SLE) affects many populations. This study aims to develop a predictive model and create a nomogram for assessing the risk of end-stage renal disease (ESRD) in patients diagnosed with SLE. Data from electronic health records of SLE patients treated at the Affiliated Hospital of North Sichuan Medical College between 2013 and 2023 were collected. The dataset underwent thorough cleaning and variable assignment procedures. Subsequently, variables were selected using one-way logistic regression and lasso logistic regression methods, followed by multifactorial logistic regression to construct nomograms. The model’s performance was assessed using calibration, receiver operating characteristic (ROC), and decision curve analysis (DCA) curves. Statistical significance was set at P < 0.05. The predictive variables for ESRD development in SLE patients included anti-GP210 antibody presence, urinary occult blood, proteinuria, white blood cell count, complement 4 levels, uric acid, creatinine, total protein, globulin, glomerular filtration rate, pH, specific gravity, very low-density lipoprotein, homocysteine, apolipoprotein B, and absolute counts of cytotoxic T cells. The nomogram exhibited a broad predictive range. The ROC area under the curve (AUC) was 0.886 (0.858–0.913) for the training set and 0.840 (0.783–0.897) for the testing set, indicating good model performance. The model demonstrated both applicability and significant clinical benefits. The developed model presents strong predictive capabilities and considerable clinical utility in estimating the risk of ESRD in patients with SLE. [ABSTRACT FROM AUTHOR]

[Display omitted] • Cost premium of certified green building in China was considered and forecasted. • A more comprehensive dataset, including additional variables, was considered. • Six new hybrid intelligence models were proposed with promising results. • The SSO-RBFN model was defined as the best model for forecasting cost premium. • The influential role of variables on the reliability of models was evaluated. Forecasting the cost premium of certified green buildings is crucial for stakeholders as it can provide valuable insights for finalcial planning, risk management, market analysis, and policy development. In this study, we proposed and developed several novel hybrid artificial neural networks for forecasting the cost premium of certified green building in China based on the radial basis function neural network (RBFN) and various metaheuristic algorithms, aiming to address these needs, including cuckoo search optimization (Cuckoo), differential evolution (DE), genetic algorithm (GA), salp swarm optimization (SSO), sea lion optimization (SLO), and cat swarm optimization (Cat), abbreviated as Cuckoo-RBFN, DE-RBFN, GA-RBFN, SSO-RBFN, SLO-RBFN, and Cat-RBFN models. A dataset with 1049 observations was gathered and utilized, considering sustainable sites points, materials and resources point, indoor environmental quality point, water efficiency point, energy and atmosphere points, innovations in design point, building grade, and gross floor area. The main findings revealed that the developed models offer promising solutions for forecasting the cost premium of certified green building in China with high reliability using the RBFN model. Among these models, the SSO-RBFN model demonstrated a particularly promising result with an accuracy of 96% in forecasting the cost premium of certified green building in China, which has not been introduced before. Further more, the findings of this work also indicated that the materials and resources, environmental quality, gross floor area, and building grade are the most influential parameters in forecasting the cost premium of certified green buildings in China. Despite the findings of this study are as is, further research is still required in other countries, even on a global scale to provide a comprehensive assessment for forecasting the cost premium of certified green buildings. These insights are of utmost importance for stakeholders in investment planning, risk management, and the sustainable development of the construction industry not only in China but also in global. [ABSTRACT FROM AUTHOR]

[Display omitted] Fat mass and obesity-associated protein (FTO) is an N6-methyladenosine (m6A) demethylase and plays critical oncogenic roles in multiple cancers. Here we show that FTO is an effective target in hepatocellular carcinoma (HCC). FTO is highly expressed in patients with HCC. Genetic depletion of Fto dramatically attenuated HCC progression in mice. Pharmacological inhibition of FTO by FB23/FB23-2 markedly suppressed the proliferation and migration of HCC cell lines in vitro and inhibited HCC tumorigenicity in xeno-transplanted mice. Mechanistically, FB23-2 suppressed the expression of Erb-b2 receptor tyrosine kinase 3 (ERBB3) and human tubulin beta class Iva (TUBB4A) by increasing the m6A level in these mRNA transcripts. The decrease in ERBB3 expression resulted in the inhibition of Akt-mTOR signaling, which subsequently impaired the proliferation and survival of HCC cells. Moreover, FB23-2 disturbed the stability of the tubulin cytoskeleton, whereas overexpression of TUBB4A rescued the migration of HCC cells. Collectively, our study demonstrates that FTO plays a critical role in HCC by maintaining the proliferation and migration of cells and highlights the potential of FTO inhibitors for targeting HCC. [ABSTRACT FROM AUTHOR]

In order to establish the mapping relationship between architectural design parameters and building performance and optimize architectural design parameters, an architectural design optimization method based on BP neural network is proposed. The selected main design parameters of building ventilation include spacing coefficient, air outlet area, and height from the bottom of the window sill to the ground. Take the comprehensive performance of building ventilation design as the main optimization objective to optimize the building design. First, nine groups of samples of building optimization design are obtained through uniform experimental design. Then, based on the architectural design sample data obtained by BP neural network training, the mapping relationship between architectural design parameters and building performance is established, and based on this mapping, the optimal design parameters of the building are calculated. The research results have a certain reference value for architectural design optimization. [ABSTRACT FROM AUTHOR]

This work aims to investigate the effects of tetramethylpyrazine (TMP) on the proliferation, migration, and invasion of glioma cells and to analyze the regulation mechanism of TMP on the long noncoding RNA UBL7-AS1/miR-144-3p pathway. Glioma cell line and normal astrocytes were collected. The expression of UBL7-AS1 was detected by real-time PCR. The glioma cells were overexpressed with UBL7-AS1. CCK-8 and Transwell assays were used to detect cell proliferation and cell invasion ability, respectively. Bioinformatics was adopted to predict the possible regulatory mechanisms of UBL7-AS1. The dual luciferase reporter gene was applied to verify the regulatory effect of RNA UBL7-AS1 with miR-144-3p. TMP inhibited the proliferation and invasion of glioma cells. UBL7-AS1 was highly expressed in glioma tissues and cells. The overexpression of UBL7-AS1 promotes the cell proliferation and invasion of glioma. UBL7-AS1 can act as a sponge for miR-144-3p in glioma cells. The overexpression of UBL7-AS1 can reverse the inhibition of TMP on proliferation, migration, and invasion of glioma cells. TMP inhibits the proliferation, migration, and invasion of glioma cells by regulating the UBL7-AS1/miR-144-3p pathway. [ABSTRACT FROM AUTHOR]

Ultrasonic-assisted extraction (UAE) of flavonoids (JMBF) from Juglans mandshurica Maxim., an important industrial crop in China, was investigated in the present study. To improve the extraction efficiency of JMBF, suitable UAE was proposed after optimization using a hybrid response surface methodology–artificial neural network–genetic algorithm approach (RSM–ANN–GA). The maximum extraction yield (6.28 mg·g−1) of JMBF was achieved using the following optimum UAE conditions: ethanol concentration, 62%; solid–liquid ratio, 1:20 g·mL−1; ultrasonic power, 228 W; extraction temperature, 60 °C; extraction time, 40 min; total number of extractions, 1. Through the investigation of extraction kinetics, UAE offered a higher saturated concentration (Cs) for JMBF in comparison to traditional solvent extraction (TSE). Scanning electron microscopy (SEM) images showed that deeper holes were generated in J. mandshurica powder under the action of ultrasound, indicating that ultrasound significantly changed the structure of the plant materials to facilitate the dissolution of active substances. Extracts obtained using UAE and TSE were compared by Fourier-transform infrared spectroscopy analysis, the results of which revealed that the functional group of bioactive compounds in the extract was unaffected by the ultrasonication process. Moreover, JMBF was further shown to exhibit significant antioxidant properties in vitro. This study provides a basis for the application of JMBF as a natural antioxidant. [ABSTRACT FROM AUTHOR]

Uniportal full endoscopic posterolateral transforaminal lumbar interbody fusion (Endo-TLIF) with percutaneous pedicle screw fixation is a promising, minimally invasive method for the treatment of lumbar spondylolisthesis. However, repeated radiation exposure from X-rays and the steep learning curve remain to be improved. [ABSTRACT FROM AUTHOR]

This study proposed a fast characterization method of bio-oil via the combination of attenuated total reflection flourier transformed infrared spectroscopy (ATR-FTIR) and machine learning models. The input to the model is high-dimensional infrared spectral data. Unsaturated concentration, effective hydrocarbon ratio, low calorific value, C content, H content, and O content are all relevant bio-oil indicators. The model parameters were optimized based on prediction accuracy and correlation coefficient. By comparing the sole support vector regression (SVR) model versus principal component analysis (PCA) preprocessed SVR model, the results showed that PCA preprocessing can significantly improve the overall performance of SVR model towards prediction of bio-oil characteristics. Under optimal parameters, the predicted accuracies for unsaturated concentration, effective hydrocarbon ratio, low calorific value, C content, H content, and O content reached 91.98%, 97.44%, 99.50%, 98.65%, 98.56%, and 97.88%, respectively. The correlation coefficient of sole SVR model was 0.3, and the correlation coefficient of PCA preprocessed SVR model was 0.9. Furthermore, the characteristic peaks of the infrared spectra at the optimal PC were analyzed, and PC6 and PC7 were found to have the most influence on the predicting performance. [Display omitted] [ABSTRACT FROM AUTHOR]

Real-time monitoring devices are popularly utilized in modern power grids. To ensure long-term operations of the monitoring systems under complex outdoor conditions, a reliable and stable power supply is essential. In this paper, a general analysis of domino wireless power transfer (WPT) systems with load-independent outputs is proposed to realize a constant power supply for the monitoring equipment. In addition, the methodology of analyzing the self-oscillating points of the proposed domino WPT systems is deduced. The availability and feasibility of the proposed analysis and control method are verified by both simulation and experiment results based on a four-coil WPT system. [ABSTRACT FROM AUTHOR]

Uniportal full endoscopic posterolateral transforaminal lumbar interbody fusion (Endo-TLIF) with percutaneous pedicle screw fixation is a promising, minimally invasive method for the treatment of lumbar spondylolisthesis. However, repeated radiation exposure from X-rays and the steep learning curve remain to be improved. [ABSTRACT FROM AUTHOR]

Simple Summary: Predicting possible associations between miRNAs and diseases would provide new perspectives on disease diagnosis, pathogenesis, and gene therapy. In this work, considering the limited accessibility, high time consumption and high cost in traditional biological researches, we presented a novel computational method called SMMDA by incorporating multiple similarity profiles and a novel disease rep-resentation to accelerate the identification of potential miRNA-disease associations. SMMDA was intended to be useful for the prediction of associations between miRNAs and diseases, and to be effective for prevention, diagnosis, treatment and prognosis of Human diseases. Increasing evidence has suggested that microRNAs (miRNAs) are significant in research on human diseases. Predicting possible associations between miRNAs and diseases would provide new perspectives on disease diagnosis, pathogenesis, and gene therapy. However, considering the intrinsic time-consuming and expensive cost of traditional Vitro studies, there is an urgent need for a computational approach that would allow researchers to identify potential associations between miRNAs and diseases for further research. In this paper, we presented a novel computational method called SMMDA to predict potential miRNA-disease associations. In particular, SMMDA first utilized a new disease representation method (MeSHHeading2vec) based on the network embedding algorithm and then fused it with Gaussian interaction profile kernel similarity information of miRNAs and diseases, disease semantic similarity, and miRNA functional similarity. Secondly, SMMDA utilized a deep auto-coder network to transform the original features further to achieve a better feature representation. Finally, the ensemble learning model, XGBoost, was used as the underlying training and prediction method for SMMDA. In the results, SMMDA acquired a mean accuracy of 86.68% with a standard deviation of 0.42% and a mean AUC of 94.07% with a standard deviation of 0.23%, outperforming many previous works. Moreover, we also compared the predictive ability of SMMDA with different classifiers and different feature descriptors. In the case studies of three common Human diseases, the top 50 candidate miRNAs have 47 (esophageal neoplasms), 48 (breast neoplasms), and 48 (colon neoplasms) are successfully verified by two other databases. The experimental results proved that SMMDA has a reliable prediction ability in predicting potential miRNA-disease associations. Therefore, it is anticipated that SMMDA could be an effective tool for biomedical researchers. [ABSTRACT FROM AUTHOR]

As the main means of transportation for urban residents, the number of motor vehicles is increasing year by year. With the continuous development of society and the gradual improvement of people's quality of life, automobiles have gradually become an indispensable means of transportation in people's lives, resulting in increased traffic flow. However, the old traffic system is still unable to cope with the rapid growth of traffic pressure, and traffic congestion and various accidents occur frequently, which is a huge test for the contemporary intelligent traffic system. With the gradual development of society, more and more researchers are devoted to intelligent transportation systems, which make the development of target detection technology based on video image processing more and more rapid. The primary problem in embedding digital video in applications is that the complexity of video encoding and decoding far exceeds that of simple image and audio compression and decompression. Digital video can take various forms and formats. Developers need to support complex configurations and various aspects, such as different resolutions/display sizes, different bit rates, real-time issues, and even the reliability of the video source. Intelligent transportation achieved a lot of results. However, there are still some deficiencies in precision and robustness. At the same time, the improvement of video image processing technology gives us a new idea. To further improve the intelligent traffic system, provide accurate data information for all departments, and improve the traffic situation, this study, based on video image processing technology, combined with the three-frame difference algorithm, calculates and studies the data of illegal parking at a certain intersection. The calculated false detection rates for Y2 are 1.1%, 0.9%, and 2.4%, and the leakage rates for Y1 are 2.4%, 1.9%, and 4.7%, respectively. This shows that the algorithm has high accuracy for vehicle parking detection data and can collect information quickly and effectively. Applying the algorithm to the detection of other vehicles can provide efficient services for relevant traffic departments and public security departments and relieve traffic pressure. The image processing technology is a process of analyzing and processing images through certain computer technology to achieve the desired results. The scheme in the article realizes background extraction, image filtering, image binarization, morphological transformation, vehicle detection and segmentation, shadow detection, etc. [ABSTRACT FROM AUTHOR]

Five new fatty acids with a terminal 3-oxo-cyclopentene ring, cyclopentenone acids A–E (1–5), were isolated from the ethanol extract of the seeds of Hydnocarpus anthelminthica. The structures of these compounds were elucidated on the basis of their spectroscopic data and chemical evidence. Compounds 1-3 were evaluated for their anti-inflammatory activity based on the inhibition of NO production in microglial BV2 cells, and all of them showed weak anti-inflammatory activities. [ABSTRACT FROM AUTHOR]

Two difluoroboron compounds including amide linkage moiety, compound F-1 with methoxy group and compound F-2 with methyl group, were designed and successfully synthesized. The results indicated that the solid powders of two compounds both displayed mechanofluorochromism phenomena, which originated from phase transformation between the well-ordered microcrystalline and amorphous states, and the intramolecular charge transfer, as well as the mechanofluorochromism of compound F-1 was better than that of compound F-2 due to larger dipole moment change value between the ground and excited states. Additionally, compound F-1 had more twisted molecular spatial conformation, which exhibited aggregation-induced emission in mixtures of THF/water, yet compound F-2 was observed aggregation-caused quenching phenomenon. It was gratified that two compounds had the potential application in the field of ink-free writing owing to their reversibly mechanofluorochromism behaviors, not only that, compound F-1 could be used to latent fingerprint imaging because of its aggregation-induced emission feature. Two difluoroboron compounds including amide linkage moiety, compound F-1 with methoxy group and compound F-2 with methyl group, were designed and successfully synthesized. They possessed reversibly mechanofluorochromism behaviors, and could be applied in the field of ink-free writing. Importantly, compound F-1 could be used to latent fingerprint imaging because of its aggregation-induced emission feature. [Display omitted] • Two difluoroboron compounds with amide bond linkage moiety, compound F-1 with methoxy unit and compound F-2 with methyl group, were synthesized. • Two compounds had a potential application in the field of ink-free writing based on their reversible mechanofluorochromism behaviors. • Compound F-1 could be used to latent fingerprint imaging because of its aggregation-induced emission feature. [ABSTRACT FROM AUTHOR]

Acquired drug resistance represents a major obstacle to tyrosine kinase inhibitor (TKI)-induced differentiation therapy of radioiodine-refractory papillary thyroid cancer (RR-PTC); thus, there is an urgent need to elucidate the underlying mechanisms. Here, selumetinib-resistant PTC (PTCSR) cell lines, which were characterized by loss of sodium/iodide symporter expression, enhanced insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2), and activated V-Erb-B2 avian erythroblastic leukemia viral oncogene homolog 2 (ERBB2) signaling, were initially established using a dose escalation method. Upon knockdown of IGF2BP2 in PTCSR cells, ERBB2 signaling was inhibited, and the acquired drug resistance was partially reversed. Mechanistically, the luciferase activity assay showed that IGF2BP2 bound to the N6-methyladenosine-binding site in the coding sequence of ERBB2 mRNA, yielding an increased ERBB2 translation efficacy revealed by polysome profiling. Inhibition of ERBB2 and IGF2BP2 by lapatinib robustly rescued the PTCSR cells from acquired dedifferentiation. Our study demonstrated that IGF2BP2-dependent ERBB2 signaling activation contributes to acquired resistance to TKI, which may be a promising differentiation strategy for RR-PTC by targeting IGF2BP2. [ABSTRACT FROM AUTHOR]

High-temperature superconductors are anisotropic materials and are often subjected to variable external magnetic and temperature fields. The non-uniformity of excitation environment and material will lead to the increase of AC loss and change of magnetostriction effect of superconducting material, which will result in unstable operation and even fracture damage of the equipment. In this paper, cylindrical high-temperature superconductors with material anisotropy are placed in a periodic alternating magnetic field. By controlling the amplitude of external magnetic field, excitation frequency, and non-uniform coefficient of material elastic modulus and ambient temperature, the distribution of electromagnetic field, temperature field, and magnetization intensity during the magnetization of superconductors has been investigated in depth. The AC loss and magnetostriction with the external field loading and unloading process are also discussed in detail based on the electro-magnetic-thermal coupling effect. The results demonstrate that variations in the amplitude and excitation frequency of the external magnetic field will have a remarkable effect on the trapped field, AC loss, and magnetostriction of the superconductor. The change in the non-uniformity coefficient of the material's elastic modulus only has a greater effect on magnetostriction, but has no significant changes on the trapped field, magnetic moment distribution, and AC loss. [ABSTRACT FROM AUTHOR]

Frontal impacts are the most frequent crash types and may generate extreme body in white (BIW) deformations. Vehicles are subjected to impact evaluation rating protocols such as 100 % Front Rigid Barrier (FRB) impact, 40 % Offset Deformable Barrier (ODB) impact and 25 % overlap (small overlap) impact. This paper proposes a collaborative optimization process using optimal Latin hypercube design (Opt LHD) and response surface methodology (RSM), to improve the vehicle crashworthiness in the frontal impacts, by considering displacement oriented structure (DOS). Upper and lower engine bay structure were considered herein to increase the lateral vehicle displacement during small overlap impact and decrease the impact force that transferred to the passenger compartment in the frontal impacts. The optimal results indicated that the acceleration of the B-pillar was reduced 0.4g in the FRB impact, the intrusion of the firewall was reduced by 55.13 % in the ODB impact, and the intrusion of passenger compartment during small overlap impact was decreased by an average of 53.88 %, with a maximum percentage of 71.41 % around left toepan, leading to an IIHS rating to acceptable from poor. The proposed crashworthiness design approach is effective in vehicle structure optimization for better frontal impacts performance. [ABSTRACT FROM AUTHOR]

Monopiles are popular solutions as the foundation to support offshore wind turbines (OWTs), which suffer from various amplitudes of continuous lateral cyclic wind and wave loading. The accumulation of tilt and change of the natural frequency of OWTs under cyclic loading have become crucial issues for OWT design. Hence the monopile-tower-soil system was established at the small-scale level based on similarity laws with a suit of constant-amplitude and multi-amplitude tests in dense sand. Two sets of gear-driving assembly were successfully set up to achieve the application of cyclic loading to the model OWT. The amplitude and symmetry of cyclic loading were specified as three indicative regions according to those of real wind farms. On the basis of test results, the two-way loading was found to be the most hazardous situation and the preloading condition led to a high accumulation of tilt. The change of natural frequency was controlled by the load magnitude and tended to increase during cyclic loads, while a sharp decrease was observed when sand subsidence was generated. The post-cyclic lateral capacity seemed to be a slight increase compared with the static capacity. The relevant analyses based on test results can provide practical recommendations for OWT design. [ABSTRACT FROM AUTHOR]

Pressure sensors prepared from sapphire exhibit excellent characteristics, including high-temperature resistance, high hardness, and resistance to electromagnetic interference. A Fast Fourier Transform and Mean Square Error (FFT-MSE) demodulation algorithm was employed to demodulate a sapphire sandwich-structure Fabry–Perot (F-P) pressure sensor. Through simulation analysis, the experimental results indicated that the demodulation error of the air cavity length in the range of 206 μm to 216 μm was less than 0.0008%. Compared to single demodulation methods and combined demodulation methods based on FFT or Minimum Mean Square Error (MMSE), the method proposed in this work reduced the demodulation error by more than three times and increased accuracy by more than six times. The algorithm was utilized to demodulate the sapphire sandwich-structure F-P pressure sensor, and the test results indicated that the fitting error of the sensor was less than 0.025% within the pressure range of 0 MPa to 10 MPa. The repeatability error was less than 0.066%, the zero-point deviation was 1.26%, and the maximum stability deviation was 0.0063% per 30 min. The algorithm effectively demodulated the actual cavity length variation in the sapphire sandwich-structure F-P pressure sensor, providing a solution for the performance evaluation of the sapphire sandwich-structure F-P pressure sensor. [ABSTRACT FROM AUTHOR]

The prevalence of food allergy (FA) is increasing, and there is an urgent need to take effective measures against it. One important measure is the avoidance diet, which shows a disadvantage, especially in case of accidental exposure. Oral tolerance restoration sheds new light on the control of FA. Oral tolerance is naturally a state of systemic unresponsiveness of the gastrointestinal tract to food antigens and its restoration can be a clinical therapy for FA. Its immune basis lies on the intestinal mucosal immune system and factors, such as gut microbiota and food processing methods, are also important. This review presents recent advances in oral tolerance and its closely related factors. [ABSTRACT FROM AUTHOR]

β cell dedifferentiation is a key mechanism for β cell dysfunction in type 2 diabetes mellitus (T2DM). Although it has been indicated in previous studies that β cell dedifferentiation could be induced by inflammation, the cytohistologic analyses of inflammation-induced β cell dedifferentiation in human islets is lacking. The present study aims to cytohistologically characterize the β cell dedifferentiation of human islets treated by proinflammatory cytokines Interleukin-1β/Tuman necrosis factor-α/Interferon-γ (IL-1β/TNF-α/IFN-γ), which is a frequently-used method to mimic the islet inflammation in previous studies. The loss of cytosolic FOXO1 expression, the loss of nucleic NKX6.1 expression, and the gain of ALDH1A3 expression in β cells are proclaimed as marking events for β cell dedifferentiation. Taking advantages of islets from organ donors and the immunofluorescence staining methods, the present study visualized the β cell dedifferentiation events marked by different markers, and quantified the frequency of each event as well. We successfully captured and described the characteristics of the differentiating/differentiated β cells. We found that dedifferentiated β cells were increased in the cytokines treated islets, evidenced by the increase of β cells with FOXO1 translocated to the nucleus (INS+FOXOnuc), β cells with NKX6.1 exported from the nucleus (INS+NKX6.1cyt), and β cells loss of NKX6.1 expression (INS+NKX6.1-), and β cells with dual expression of insulin and progenitor marker ALDH1A3. Consistently, we found that proinflammatory cytokines IL-1β/TNF-α/IFN-γ treatment reduced the mRNA expression of key β cell markers, but elevated the expression of progenitor marker genes. This study gives the most direct evidence for inflammation-induced β cell dedifferentiation in human islets, and supports the concept that anti-inflammation treatments may facilitate alleviating the β cell dedifferentiation in human T2DM islets. [ABSTRACT FROM AUTHOR]

Considering that SF6 is a potent greenhouse gas, SF6/N2 gas mixtures are preferred to serve as the insulating gas for its environmental friendliness and good insulation. Since heat transfer analysis is very useful for ascertaining the appropriate temperature rise range, which can ensure the safe operation and extension of remaining useful life of GIL, it is essential to study the thermal properties of SF6/N2 gas mixtures. Nevertheless, very few studies investigate on the temperature field of SF6/N2 gas mixtures under ideal conditions. To reflect the heat transfer characteristics accurately, in this paper, by using the finite-element method and multi-physics coupling, the heat transfer properties in the GIL is analyzed by using a three-dimensional (3-D) axisymmetric GIL model. By varying the SF6/N2 mixing ratio and observing the corresponding heat transfer characteristics, the mapping between SF6/N2 mixing ratio and the temperature rise is obtained by using the model. Furthermore, the mappings are studied under different gas pressures, line currents and ambient temperatures, which correspond to different real-life operating conditions. The proposed strategies can effectively give guidance of choosing proper SF6/N2 mixing ratio for desired temperature rise, and thus having great values of practical applications. [ABSTRACT FROM AUTHOR]

[Display omitted] • Sorting strategies based on source, physical and chemical properties were compared. • The gasification efficiency of sorted RMSW was 40.89% higher than that of unsorted. • The yield of syngas can be increased by 37.14% after waste sorting. • The emission of CO 2 can be reduced by 81 t·per year after waste sorting. • Elemental composition based sorting method benefited to efficient gasification. Gasification is a promising way to convert residual municipal solid waste (RMSW) to high-valued syngas. Waste sorting is helpful to alleviate the heterogeneity problem of waste on gasification. This paper aimed to search for an optimal sorting strategy and evaluate the influence of waste sorting on downstream gasification. A sorting strategy based on elemental composition was proposed and compared with common source and density based strategies. The results validated the enhancement of waste sorting on RMSW gasification, where the elemental composition based strategy showed optimal gasification. The yield of syngas, cold gas efficiency, the lower heating value of syngas and H 2 /CO were increased by 37.14 %, 38.95 %, 2.18 % and 8.81 %, respectively. It also showed a good effect on the improvement of air gasification compared with the literature, especially for H 2 /CO. This paper also discussed the economic and environmental potential of the elemental composition based sorting method. The waste sorting can help increase 29,250 RMB/year and reduce CO 2 emission by 81 t/year. This method has potential for industrial application. It is suggested that further fast elemental composition characterization technologies and intelligent sorting equipment can be developed. Limitations and future perspectives were discussed from gasification simulation models, more energy utilization technologies, the underlying logic of waste sorting and sustainability evaluation. It is hoped that this work can provide insightful fundamentals to their applications in RMSW sorting, thus benefiting resource recovery and circular economy. [ABSTRACT FROM AUTHOR]

Co-pyrolysis is an advanced technique used to optimize biochar by combining different biomass feedstock and adjusting process conditions. The H/N ratio and yield of biochar, along with factors such as nutrient content and specific surface area, affect the adsorption and pore structure of soil amendments. This study proposed a modeling framework to predict these indicators by the feedstock properties and process conditions. Data enhancement method was used to solve the limited data size problem, which improved the average accuracy from 7.3% to 13.3%. Grid search method was utilized to determine the optimal parameters in three typical machine learning models, namely artificial neural networks, support vector machine, and random forest. The results revealed that the random forest model achieved the highest performance, with an accuracy rate of 92.8% and an average R2 of 0.95. Sensitivity analysis indicated that the reaction temperature and specific elements of the biomass feedstock were the primary factors influencing the biochar prediction model. Consequently, the random forest model was integrated into a heuristic algorithm to find the optimal H/N ratio and yield conditions. The optimal values of H/N ratio and yield obtained were 7.14 and 29.7%. The prediction and optimization of yield and H/N ratio will provide new visual insights into the use of biochar in soil improvement. [Display omitted] • Data enhancement improved model accuracies from an average of 7.3%–13.3%. • Interpretable machine learning was used to predict co-pyrolysis biochar properties. • The optimal RF model achieved the highest accuracy of 92.8%, outgoing SVM and ANN. • The RF model integrates into PSO to find optimal production conditions for biochar. [ABSTRACT FROM AUTHOR]

Thermal kinetic heterogeneity of mixed residual waste (RW) is a serious problem leading to unsatisfactory efficiency and stability during energy utilization processes. This work proposed a thermal kinetic parameters based classification method of RW. Considering the significant relevance between kinetic parameters and elemental compositions, the latter were used as indicators to establish the sorting principle. The proximate analysis results and kinetic parameters among the new categories were analyzed, the kinetic heterogeneity reduction performance versus the traditional classification method was compared, and the working mechanism of the proposed classification method was discussed. Three new RW categories were obtained, and the composition and kinetic parameters among these new categories have significant difference (P < 0.05). The kinetic heterogeneity was reduced compared with the traditional classification method. The absolute value of Pearson correlation coefficient between elemental composition and kinetic parameters could reach 0.8, proving the mechanism of the new classification method. The study is hopeful to facilitate efficient energy utilization of RW. [Display omitted] • A thermal kinetic parameters based classification method of RW was proposed. • The performance, potential and mechanism of the proposed method were discussed. • Significant heterogeneity in kinetic parameters among the categories were observed. • The PCC between elemental composition of RW and kinetic parameters could reach 0.8. • The results are promising to enhance energy utilization efficiency of RW. [ABSTRACT FROM AUTHOR]

The present study elucidates the underlying mechanism through which PUE confers protection against CDDP-induced ototoxicity. PUE effectively regulates Calcium overload and suppresses the production of Reactive Oxygen Species (ROS) through the regulation of TRPV1 expression, thereby mitigating damage to the auditory system. To illustrate this mechanism, a schematic diagram has been presented. [Display omitted] Puerarin (PUE), a flavonoid derivative with vasodilatory effects found in the traditional Chinese medicine kudzu, has anti-sensorineural hearing loss properties. However, the mechanism of its protective effect against ototoxicity is not well understood. In this study, we used in vitro and in vivo methods to investigate the protective mechanism of puerarin against cisplatin (CDDP)-induced ototoxicity. We established an ototoxicity model of CDDP in BALB/c mice and assessed the degree of hearing loss and cochlear cell damage. We used bioinformatics analysis, molecular docking, histological analysis, and biochemical and molecular biology to detect the expression of relevant factors. Our results show that puerarin improved CDDP-induced hearing loss and reduced hair cell loss. It also blocked CDDP-induced activation of TRPV1 and inhibited activation of IP3R1 to prevent intracellular calcium overload. Additionally, puerarin blocked CDDP-stimulated p65 activation, reduced excessive ROS production, and alleviated cochlear cell apoptosis. Our study provides new evidence and potential targets for the protective effect of puerarin against drug-induced hearing loss. Puerarin ameliorates cisplatin-induced ototoxicity and blocks cellular apoptosis by inhibiting CDDP activated TRPV1/IP3R1/p65 pathway, blocking induction of calcium overload and excessive ROS expression. [ABSTRACT FROM AUTHOR]

As a fast-growing commercial wood species, poplar often produces tension wood because of the leaning stems of logs, which has a great impact on the production and utilization. The gelatinous layer (G-layer) was the unique component of tension wood, almost entirely composed of cellulose, which was the main reason for the special performance of the poplar tension wood. This study used the transmission electron microscopy, Raman spectroscopy and nanoindentation to examine the ultrastructure and mechanical properties of every wall layer of the poplar cell wall in order to figure out the ultrastructure and properties of G-layer. In particular, the nanoindentation mapping was combined with manual screening to obtain the mechanical performance data of each layer. The fibers in the tension wood were gelatinous wood fibers with obvious G-layers, and the thickness was 2.53 μm, which was much larger than that of other wall layers. Compared with the wood fiber in the opposite wood, the S1 layer was thicker and the S2 layer was thinner, and the entire cell wall thickness was increased in tension wood. G-layer in tension wood had a very high cellulose content, and the Raman strength of lignin was weak. In general, the micromechanical properties of poplar tension wood were better, which was consistent with its macromechanical properties. The characteristics of G-layer, including high cellulose content, small microfibril angle and high crystallinity, made G-layer own better elastic modulus (14.08 GPa) and hardness (0.45 GPa) than other wall layers in the tension wood. Moreover, G-layer had a high proportion in the tension wood cell wall, so the average longitudinal elastic modulus and hardness of wood fiber cells in the tension wood were also higher than those in the opposite wood. [ABSTRACT FROM AUTHOR]