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(1) Background: Spinal cord injuries and diseases necessitate sophisticated tools for accurate diagnosis and treatment planning. However, the lack of reliable phantoms mimicking the complex structure of the spinal cord hinders the development and validation of advanced imaging techniques. This study aims to address this critical unmet need by exploring the application of electrospinning to create polymeric fibers resembling the human spinal cord; (2) Methods: Direct jet coaxial electrospinning (DJ-co-ES) is a specialized electrospinning process characterized by the presence of solely the straight segment of a fluid jet. The research firstly investigates the effects of various solution properties and process parameters on the formation and characteristics of core/shell fibers with polycaprolactone (PCL) as the shell and polyethylene oxide (PEO) as the core. Furthermore, the study explores the potential of these DJ-co-ES fibers as phantoms by measuring various diffusion MRI parameters; (3) Results: Scanning electron microscopy (SEM) revealed the successful production of hollow PCL microfibers (2–12 μm diameter) with smooth, cylindrical morphology and high orientation. The DJ-co-ES process demonstrated optimal stability when utilizing 10 w/v% PCL in DCM/DMF for the shell and 4 w/v% PEO in deionized water for the core. Additionally, the high miscibility between core and shell solvents in other core and shell solutions cases facilitated the production of fibers with smaller diameters. The findings demonstrate that the measured values fall within the range observed in both healthy and diseased spinal cord tissues; (4) Conclusions: This research paves the way for utilizing DJ-co-ES technology to develop reliable phantoms for spinal cord applications, ultimately fostering advancements in diagnosis, treatment, and research related to spinal cord conditions. [ABSTRACT FROM AUTHOR]

Foxtail millet planting has a long history and profound role in agricultural civilization. However, weeds have become one of the obstacles restricting the development of the foxtail millet industry. Penoxsulam, as an early post-emergence herbicide for controlling gramineous weeds in paddy fields, is effective for some broadleaf weeds. In this study, six different doses (CK, 0.5X, 1X, 2X, 3X, 4X) of penoxsulam were sprayed at the 3–5 leaf stage of the conventional variety Jingu 21 to study its effect on the growth and development of foxtail millet, in order to screen out the appropriate spraying concentration. The main results are as follows: Within 15 days after spraying penoxsulam, the plant height and leaf area of foxtail millet decreased with the increase in spraying dose, and gradually recovered 15–25 days after spraying, but there were still significant differences compared with CK. The photosynthetic pigment content, net photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (Gs), the maximum photochemical efficiency (Fv/Fm), photosynthetic system II actual photochemical efficiency (Y(II)), and photochemical quenching coefficient (qP) of foxtail millet decreased with an increase in the penoxsulam spraying dose, while the intercellular CO2 concentration (Ci) and non-photochemical quenching coefficient (NPQ) showed an upward trend. There was almost no significant difference in each index between the spraying dose of 0.5X and 1X and CK, but the photosynthesis of foxtail millet leaves was still significantly inhibited under a spraying dose of 3X and 4X. Penoxsulam had certain growth-inhibiting effects on Echinochloa crus-galli (L.) Beauv. (E. crus-galli), Digitaria sanguinalis (L.) Scop. (D. sanguinalis), Chenopodium album L. (C. album), and Amaranthus retroflexus L. (A. retroflexus) which increased as the spraying dosage increased. Our study found that spraying dose groups of 0.5X and 1X penoxsulam were safe for foxtail millet growth and could be used to control gramineous weeds in fields. Other spraying doses are not recommended in the field due to their serious phytotoxicity to foxtail millet, which provides a new measure for weed control in foxtail millet fields. [ABSTRACT FROM AUTHOR]

Background and objectiveProstate cancer (PCa) is one of the most common malignant tumors in men. Geriatric Nutritional Risk Index (GNRI) is an objective index for evaluating nutritional status of elderly people over 65 years old. The aim of the current study was to explore the correlation and predictive value between GNRI and postoperative recovery and complications in PCa patients undergoing laparoscopic radical prostatectomy (LRP).MethodsTaking 98 as the GNRI boundary value, 96 PCa patients (aged≥65 y) undergoing LRP in the Department of Urology, Affiliated Hospital of North Sichuan Medical College from January 2018 to December 2020 were grouped into malnutrition group (MNg, 34 patients, 35.4%) and normal nutrition group (NNg, 62 patients, 64.6%). Basic information, laboratory examination indexes, operation conditions, postoperative complications and postoperative recovery indexes of patients were recorded and retrospectively analyzed. Clavien-Dindo Classification System (CDCS) was used to assess postoperative complications. T-test was used to analyze differences between the two groups. ROC curve was generated to determine the predictive value of GNRI for postoperative complications.ResultsPercentage of complications was significantly higher in MNg group compared with that in NNg group (P < 0.01). The average grade based on CDCS was significantly lower in NNg group compared with that in MNg group (P < 0.01). Body weight, Body Mass Index (BMI), preoperative hemoglobin value (HGB), serum albumin (ALB) values of MNg and NNg were significantly positively correlated with GNRI (PConclusionGNRI is an effective and reliable tool for evaluation of preoperative nutritional status of prostate cancer patients. The findings showed that GNRI is correlated with postoperative recovery and complications, and is an effective predictive marker.

Maleic acid (MA) has been explored to replace formaldehyde-based dimethylol dihydroxy ethylene urea (DMDHEU) for cotton anti-crease finishing. However, the resilience of treated fabrics was not satisfactorily improved. In this study, acryloyl malic acid (AMA) was synthesized and applied on fabrics as a novel crosslinking agent. The results showed that both crease recovery angle and whiteness index of treated samples were higher than those of MA in the presence/absence of catalyst sodium hypophosphite (SHP). Chemical structure of AMA was confirmed by NMR and MS spectra. The possible crosslinking mechanism between AMA and cellulose was investigated by means of (13)C NMR, MS, FTIR and phosphorus content analyses. It was found that AMA could form ester bonds with cellulose by formation of anhydride intermediate. Meanwhile, additional reaction of double bonds on AMA with another molecule or PH of SHP residual has also contributed to the crosslinking. A reaction equation was proposed based on the analyses.

Thermoacoustic oscillation is indeed a phenomenon characterized by the symmetric coupling of thermal and acoustic waves. This paper introduces a novel approach for monitoring and predicting thermoacoustic combustion instability using a combination of recurrence quantification analysis (RQA) and an optimized deep belief network (DBN). Six samples of combustion state data were collected using two distinct types of burners to facilitate the training and validation of GA-DBN. The proposed methodology leverages RQA to extract intricate patterns and dynamic features from time series data representing combustion behavior. By quantifying the recurrence plot of specific patterns, the analysis provides valuable insights into the underlying thermoacoustic dynamics. Among three different feature extraction methods, RQA stands out remarkably in performance. These RQA-derived features serve as input to a carefully tuned DBN, which is trained to learn the complex relationships within the combustion process. The classification accuracy of deep belief network optimized by genetic algorithm (GA-DBN) reached an impressive 99.8%. Subsequent multiple comparisons were conducted between GA-DBN, DBN, and support vector machine (SVM), revealing that GA-DBN consistently demonstrated satisfactory classification results. This method holds significant importance in monitoring intricate combustion states. [ABSTRACT FROM AUTHOR]

The three-dimensional (3D) porous carbon materials are helpful for forming thin, light-weight, wide effective absorption bandwidth and strong absorption intensity absorbers. However, previous methods were not environmentally friendly enough. Thus, in this work, the Fe/Fe3C@porous carbon was synthesized from soluble starch and Fe(NO3)3·9H2O via chemical bowling and subsequent carbonization at 700 °C with different ratios. When the ratio of starch to Fe(NO3)3·9H2O is 1:1.5, the porous carbon exhibits a strong absorption ability with minimum reflection loss (RLmin) value of −16.64 dB at 16.78 GHz, when the thickness is 1.75 mm and the proportion of paraffin wax is 30 wt%. The synergy of well impedance matching, sufficient loss performance, and interface polarization makes 3D porous carbon materials an excellent wave absorber. This work provides a good inspiration for studying outstanding performance microwave absorption materials. [ABSTRACT FROM AUTHOR]

AbstractThe importance of Vitamin D in ovarian cancer (OC) has been well documented, and lower levels have been associated with susceptibility to OC. Vitamin D exerts its effect through the vitamin D receptor (VDR). Common genetic variants in the VDR gene (Fok I, TaqI, BamI and ApaI) have been linked with the susceptibility to the development of OC; however, the reports remain contradictory. To draw a valid conclusion, we performed a meta-analysis of the earlier published reports in the present study. The literature search was performed in PubMed, Google Scholar, and Scopus databases. All relevant articles were screened, and eligible reports were identified based on prefixed inclusion and exclusion criteria. Data such as author’s details, year of publication, ethnicity, genotype and allele prevalence in cases and controls were extracted from the eligible reports. The meta-analysis was performed using Comprehensive Meta-analysis Software (CMA) V3. Eight articles, including data from fourteen independent cohorts, comprised 4276 cases and 6739 healthy controls considered for the analysis. VDR FokI and BamI variants revealed a significant association with an increased risk of OC. Other VDR polymorphisms (TaqI and ApaI) failed to demonstrate such an association with OC. Interestingly, the sensitivity analysis revealed minimal deviation from the parent meta-analysis, supporting the robustness of the present analysis. The trial sequential analysis revealed the inclusion of a sufficient number of studies for FokI polymorphism. It highlighted the requirement for additional case-control studies in VDR (ApaI, BamI and TaqI) to draw a definitive conclusion. FokI and BamI polymorphisms are associated with susceptibility to OC. [ABSTRACT FROM AUTHOR]

To model the car-following behavior more accurately, we carried out the molecular similarity analysis between the vehicles on the road and the inert gas system, comparing vehicles with microscopic particles in long and narrow pipes. The complex car-following interaction behavior is simplified into a dynamic process of the follower car that is constantly seeking to maintain the required safety distance from the leading vehicle. Through mathematical derivation of the Lennard-Jones potential function suitable for thermodynamic analysis of inert gas systems, the influence of each variable on the potential energy is clarified, and the existing problems of the existing molecular car-following model are analyzed, referring to the general Lennard-Jones potential function to build the vehicle interaction potential function. Considering the impact of the road wall potential generated by the lane boundary, a car-following model based on Lennard-Jones interaction potential is presented. The simulation test results show that compared with the existing molecular car-following model and IDM model, the average absolute error and root mean square error of the vehicle acceleration results obtained by this model and the actual data are lower, which proves that the vehicle is based on the Lennard-Jones interaction potential. The vehicle-following model based on Lennard-Jones interaction potential has a better fitting effect on the real vehicle-following behavior., Author(s): Dayi Qu [1]; Zixu Zhao (corresponding author) [1]; Chunyan Hu [1]; Tao Wang [1]; Hui Song [1] 1. Introduction Vehicle-following behavior is the basic element of microtraffic flow characteristics, [...]

Mice selectively expressing a PPAR[gamma] dominant-negative mutation in vascular smooth muscle exhibit RhoBTB1 deficiency and hypertension. Our rationale was to use genetic complementation to uncover the mechanism of action of RhoBTB1 in vascular smooth muscle. Inducible smooth muscle-specific restoration of RhoBTB1 fully corrected hypertension and arterial stiffness by improving vasodilator function. Notably, the cardiovascular protection occurred despite the preservation of increased agonist-mediated contraction and RhoA and Rho kinase activity, suggesting that RhoBTB1 selectively controls vasodilation. RhoBTB1 augmented the cyclic 3',5'-monophosphate (cGMP) response to NO by restraining the activity of phosphodiesterase 5 (PDE5) through its action as a substrate adaptor delivering PDE5 to the Cullin-3 E3 ring ubiquitin ligase complex for ubiquitination, thereby inhibiting PDE5. Angiotensin II infusion also caused RhoBTB1 deficiency and hypertension, which were prevented by smooth muscle-specific RhoBTB1 restoration. We conclude that RhoBTB1 protected against hypertension, vascular smooth muscle dysfunction, and arterial stiffness in at least 2 models of hypertension., Introduction PPAR[gamma] is a ligand-activated transcription factor known to regulate fatty acid metabolism. The clinical significance of PPAR[gamma] is best illustrated by the improvement in glycemic control in patients with [...]