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This article was based on indoor simulated marine environment erosion tests using concrete, by analyzing the compressive strength, coating bonding strength and chloride ion diffusion behavior of marine cast-in-place concrete after erosion, and the effects of anti-corrosion coating / treating ages on the mechanical properties and durability evolution of marine cast-in-place concrete were studied. The results show that compared with concrete without anti-corrosion coating / treating, anti-corrosion coating / treating concrete using silane and polyurethane coating shows a decrease in compressive strength fc after erosion in marine tidal areas, and concrete fc gradually decreases with the increase of curing age tc . Anti-corrosion coating / treating can effectively improve the long-term chloride ion erosion resistance of marine cast-in-place concrete, and with the increase of curing age tc, the effects of anti-corrosion coating / treating on reducing the surface chloride ion content Cs and apparent chloride ion diffusion coefficient Da of concrete becomes more significant. Taking into account the development of mechanical properties of cast-in-place concrete in the marine tidal zone environment and the effectiveness of anti-corrosion coating / treating measures, it is recommended to use silane and polyurethane coatings for coating with a curing age of not less than 5 and 10 d, respectively. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study investigates the influence mechanism of particle size and gas pressure on the dynamic diffusion law of CO2 in coal. We used a self-developed high pressure adsorption and desorption experimental system for coal seam to analyze the dynamic adsorption-diffusion characteristics before the adsorption equilibrium of gas in coal based on the volumetric adsorption experiment,which was combined with the classical single hole diffusion model to calculate the CO2 diffusion coefficient at different times. The results show that the adsorption equilibrium time is positively correlated with the coal particle size,and decreases with the increase of adsorption equilibrium pressure. Larger coal particle size would result in more obvious decreasing trend. The effective diffusion coefficient is found to be more effective than the diffusion coefficient in explaining the relationship between particle size and equilibrium time. Smaller particle size would result in higher effective diffusion coefficient and shorter adsorption equilibrium time. The effective diffusion coefficient shows a power function with time. The initial effective diffusion coefficient (De0) and effective diffusion attenuation coefficient (β) both decrease with the increase of particle size. De0 first increases and then decreases with the increase of equilibrium pressure, and the β exhibits varying relationships with the increase of equilibrium pressure depending on different particle sizes of the coal. Smaller particle size would result in better connectivity between the pores of coal,leading to shorter diffusion paths of gas molecules and lower diffusion resistance,thus more facilitated to adsorption. Gas pressure poses a driving effect on CO2 adsorption and diffusion,but with the continuous adsorption of coal samples,the coal matrix expands and blocks the pores,leading to a narrowing of the diffusion channel and diminished driving effects. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: To investigate the value of diffusion-weighted imaging (DWI) parameters combined with serum long-chain non-coding ribonucleic acids-nuclear enrichment rich transcript 1 (LncRNA-NEAT1) and microRNA (miR)-182-5p in the evaluation of preoperative grading of brain glioma. Methods: 112 brain glioma patients were divided into low-level group (60 cases) and high-level group (52 cases) according to postoperative pathological grading. All patients underwent DWI examination before operation to obtain apparent diffusion coefficient (ADC) and relative ADC (rADC) parameters. The expression of serum LncRNA-NEAT1 and miR-182-5p in brain glioma patients was detected. The value of DWI parameters combined with serum LncRNA-NEAT1 and miR-182-5p in the diagnosis of preoperative grading of brain glioma was analyzed by receiver operating characteristic (ROC) curve. Results: The ADC and rADC values in high-level group were lower than those in low-level group (P<0.05), and the serum LncRNA-NEAT1 and miR-182-5p were higher than those in low-level group (P<0.05). The area under the curve (AUC) of ADC, rADC, LncRNA-NEAT1 and miR-182-5p in the diagnosis of preoperative high-grade brain glioma was 0.834(95%CI: 0.756~0.896), 0.840(95%CI: 0.762~0.900), 0.784(95%CI: 0.700~0.853), and 0.812 (95%CI: 0.731~0.878) respectively. AUC of combined diagnosis was 0.959 (95%CI: 0.907~0.987), which was higher than that of single index diagnosis. Conclusion: The ADC and rADC of patients with high-grade brain glioma decrease, and the serum LncRNA-NEAT1 and miR-182-5p increase, the combination of DWI parameters (ADC, rADC) and serum LncRNA-NEAT1 and miR-182-5p detection has high diagnostic value for preoperative grading of brain glioma. [ABSTRACT FROM AUTHOR]

Objective: To investigate the diagnostic value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), apparent diffusion coefficient (ADC) value combined with neutrophil-to-lymphocyte ratio (NLR) and free prostate specific antigen/total prostate specific antigen (fPSA/tPSA) in the diagnosis of prostate cancer (PCa). Methods: A total of 179 PCa patients admitted to Cheng- du Second People's Hospital from March 2021 to August 2023 were selected as PCa group and 163 patients with benign prostatic hyper- plasia (BPH) were selected as the BPH group. The DCE-MRI quantitative parameters, ADC values and peripheral blood NLR, and serum fPSA/tPSA were compared between the two groups. The receiver operating characteristic curve (ROC) was used to analyze the value of each index for diagnosing PCa. Results: Ktrans, Kep and NLR in PCa group were higher than those in BPH group (P<0.05), ADC and fPSA/tPSA were lower than those in BPH group (P<0.05). The area under the curve of PCa combined diagnosis was 0.956, which was higher than for diagnosis alone. Conclusion: The DCE-MRI parameters Ktrans, Kep and NLR of PCa patients increased, ADC and fPSA/tPSA decreased, The combination of DCE-MRI parameters, ADC, NLR and fPSA PSA can improve the diagnostic value of PCa. [ABSTRACT FROM AUTHOR]

Using manufactured sand, extra fine sand and other materials to prepare chloride resistance concrete is of great significance to reduce production costs and improve the service life of bridges in coastal areas. In this study, the chloride resistance of concrete was improved by optimizing aggregate design and cement paste composition. The effects of aggregate gradation, extra fine sand content, sand ratio, water-binder ratio and cementitious material type on concrete performance were studied. The results show that the chloride diffusion coefficient decreases from 4.0 x 10-12 m²/s to 2.9 x 10-12 m²/s when the mass fraction of 8 ~ 16 mm gravel increases from 50% to 80%. When 50% (mass fraction) manufactured sand is replaced by extra fine sand, the chloride diffusion coefficient is 3.6 x 10-12 m²/s, which can still meet the design requirements. With the increase of sand ratio, the chloride diffusion coefficient decreases first and then increases. The water-binder ratio is controlled in the range of 0.36 ~ 0. 38, and the chloride diffusion coefficient is less than 3.5 x 10-12 m²/s. The hydration of slag component improves the pore structure of concrete, and forms more AFm and C-S-H, which improves the chloride binding capacity. The chloride diffusion coefficient of concrete with slag cement is 40% lower than that of OPC. [ABSTRACT FROM AUTHOR]

In order to investigate the microwave freeze-drying characteristics and quality changes of blueberries, this paper explores the effects of different microwave power (300, 400, 500, 600 W), vacuum degree (50, 100, 150, 200 Pa) and material loading (60, 120, 180, 240 g) on the drying characteristics of blueberries and their quality. A Box-Behnken central combination experimental design was carried out on the basis of a one-way experiment, and the comprehensive scores of drying rate, color difference, shrinkage, rehydration ratio, Vitamin C preservation rate, and antho-cyanin retention rate of blueberries were used as evaluation indexes. The results showed that: the drying rate of blueberries in the pre-drying period was larger and became larger with the increase of microwave power, the R2 of Page model were all greater than 0.95, which could better predict the moisture changes in the drying process of blueberries, and the effective moisture diffusion coefficient of blueberries ranged from 3.341X10-8 to 5.110X10-8 m2/s, and was significantly affected by the microwave power and loading capacity (B<0.05). The chromatic aberration !E increased with the increase of microwave power and decreased with the increase of vacuum. The microwave power and vacuum degree had a greater influence on the rehydration performance, the VC retention rate decreased rapidly with the increase of microwave power, and increased slowly with the increase of vacuum degree and loading capacity, and had a maximum value at 400 W; whereas the anthocyanin content showed an overall rapid decreasing trend with the increase of microwave power and vacuum degree. According to the results of the response surface test, the contribution of each factor to the overall score of blueberry drying was: microwave power > vacuum degree > loading capacity. When the drying parameters of dried blueberry products were microwave power of 400 W, vacuum degree of 100 Pa, and loading capacity of 120 g, the microwave freeze-drying effect of blueberries was the best, at which time the blueberry color and luster, rehydration ratio, textural characteristics, vitamin C and anthocyanin content and internal pore distribution were relatively the best, and the quality was the best. [ABSTRACT FROM AUTHOR]

Rare-earth metal superhydrides have attracted much attention because of their high-temperature superconductivity. Since experimental measurements can only determine the structures of rare-earth metal atoms in the superhydrides, first-principles calculations have become an important complementary method for a comprehensive understanding on their structures and physical properties. In this work, the elasticity, lattice dynamics and proton dynamics properties of face-centered cubic CeH9 and CeH10 with different hydrogen contents but the same Ce lattice structure are investigated comparatively by first-principles calculations. The low hydrogen content is found to favor the elastic and phonon stabilization of face-centered cubic cerium superhydrides expanding to low pressures. At 100-140 GPa, CeH9 and CeH10 do not have significant proton diffusion at room temperature, but fully transform into the superionic state at 1 500 K with diffusion coefficients of 1.6x10-4-1.2x10-4 cm²/s and 1.9x10-4-1.5x10-4 cm²/s; the diffusion coefficient is positively correlated with temperature and hydrogen content, but negatively correlated with pressure. The findings on the laws of pressure, temperature and hydrogen content affecting the structure and dynamics of cerium superhydrides are obtained, which can be used as a reference for the study of other superhydrides. [ABSTRACT FROM AUTHOR]

The optimization and kinetic analysis of ultrasound-assisted extraction of polysaccharides from Panax notoginseng residue was studied in this paper. On the basis of single factor experiment, the process was optimized by Box-Behnken Response Surface Methodology. The optimal extraction process was as follows: ultrasound temperature 60 °C, ultrasound power 136.8 W, ultrasound time 53 min, liquid-solid ratio 43 mL/g. Under the optimal conditions, the yield of polysaccharide was 6.79%, while the predicted yield was 6.88% and the relative standard deviation (RSD) was 1.31%. In comparison with the same conditions of hot water extraction, the yield was increased by more than 55% by the optimization. The kinetic model of ultrasound-assisted extraction of polysaccharides from Panax notoginseng residue was built. The rate constant and relative extraction residual rate of polysaccharides was calculated by measuring the concentration of polysaccharides in the extraction solution at different ultrasound powers and different ultrasound times. According to those two parameters, the half-life regression equation and the effective diffusion coefficient regression equation were fitted. The experimental results showed that the rate constant increased with the increasing of ultrasonic power. The enhancement of ultrasonic power was beneficial to the faster dissolution of polysaccharides from Panax notoginseng residue. [ABSTRACT FROM AUTHOR]

Objective To investigate the value of tumor volume to uterine volume ratio (N/U) combined with tumor apparent diffusion coefficient (ADC) in predicting the pathological grade of endometrial carcinoma (EC). Methods Data of 107 patients with EC admitted from July 2020 to January 2023 were retrospectively analyzed. All patients underwent preoperative magnetic resonance imaging (MRI), and pathological diagnosis was used as the gold standard. Patients with low differentiation were included in the high grade group, and patients with medium and high differentiation were included in the low grade group. The factors affecting the pathological grading of EC patients were analyzed, and the value of MRI index in predicting the pathological grading of EC patients was analyzed. Results The pathological examination showed that there were 24 high-grade patients and 83 low-grade patients.. Logistic multivariate regression analysis showed that N/U, ADC, rADC internal obturator muscle were factors affecting the pathological grade of EC patients (P < 0.05). ROC curve results showed that the sensitivity of N/U, ADC, rADC internus obturator muscle and their combination to predict the pathological grading of EC patients were 70.83%, 75.00%, 79.17%, 83.33%, the specificity were 71.08%, 79.52%, 78.31%, 85.54%, and the AUC were 0.734, 0.756, 0.741 and 0.891. Conclusion The combination of N/U, ADC, rADC and obturator internal muscle was effective in predicting the preoperative pathological grading of EC patients. [ABSTRACT FROM AUTHOR]

To investigate the transportation mechanism of chloride ion in manufactured sand concrete (MSC), the chlorine salt erosion tests under dry-wet cycle were carried out under the conditions of different sand replacement rate, fly ash content and stone powder content. The mass fraction of free chloride ions and diffusion coefficient of chloride ions in concrete were obtained by the experiments. The results show that with the increasing of manufactured sand (MS) replacement, the chloride concentration at the same concrete depth and chloride diffusion coefficient of concrete is decreased with latter increasing. The concrete with 50% manufactured sand has the highest resistance performance to chloride ion penetration. With the increasing of fly ash content, the chloride penetration resistance of manufactured sand concrete is increased with latter decreasing. The manufactured sand concrete with 30% fly ash can resist the chloride penetration with the best effect. Compared with the MS without or containing 11.6% stone powder, the chloride ion erosion resistance of concrete with 5.8% stone power is the strongest. Proper amount of manufactured sand in concrete can improve the durability life of concrete in the dry-wet cycle of chloride solution. [ABSTRACT FROM AUTHOR]

The backward problem of space-fractional diffusion equations with perturbed diffusion coefficients and perturbed final data was considered. The initial data were recovered from the measured data at the final time. Given the severe ill-posedness of this problem, an iterative regularization method was proposed to tackle it. The convergence error estimate between the exact and approximate solutions was obtained under the assumption of an a-priori bound on the exact solution. Finally, several numerical simulations were conducted to verify the effectiveness of this method. [ABSTRACT FROM AUTHOR]

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The urea oxidation reaction (UOR) was comprehensively studied using electrochemical method, including detailed cyclic voltammetry analyses of the UOR behavior on Ni in a standard three-electrode system. The data were analyzed to extract important physical and chemical parameters of the reaction such as the diffusion coefficient, transfer coefficient, and reaction order. This experiment combined current electrocatalysis research with undergraduate electroanalysis courses and the kinetics of chemical and electrochemical reactions. A two-electrode system was used to construct a urea-assisted electrolyzer for hydrogen production to demonstrate the practical application of this system. This experiment was designed to encourage undergraduate students to use their basic knowledge to solve practical problems and stimulate their enthusiasm for scientific research. [ABSTRACT FROM AUTHOR]

To evaluate the diagnostic value of radiomics based on high-resolution T2WI combined with apparent diffusion coefficient imaging (ADC) for prostate cancer. Data from 120 patients who underwent MRI and Confirmed by pathology were reviewed by a retrospective study, including 71 prostate cancer and 49 no-prostate cancer. The lesions of these patients were divided into peripheral zone (PZ) and central zone (CZ) groups, respectively. Radcloud platform was used for data analysis of MRI images, and the area under the curve (AUC) was calculated by receiver operating characteristic curve (ROC). T2WI, ADC, T2WI + ADC computer aided diagnostic model and Prostate Imaging Report and Data System version 2 (PI-RADS v2) were compared in distinguishing benign and malignant prostate lesion. The results show in the test set, the performance of Model T2WI+ADC was significantly higher than Model T2WI and PI-RADS in the peripheral zone (P<0.05), Model ADC was significantly higher than Model T2WI and PI-RADS in the central zone (P<0.05). For PI-RADS 3 lesion, the area under curve of the Model T2WI+ADC were 0.89 and 0.94 in the peripheral zone and central zone, respectively. Radiomics based on high-resolution T2WI combined with apparent diffusion coefficient imaging achieved a higher diagnostic efficiency than PI-RADS v2, including PI-RADS 3 lesion. [ABSTRACT FROM AUTHOR]

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Copyright of Acta Materiae Compositae Sinica is the property of Acta Materiea Compositae Sinica Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A large number of nutrients (solutes) can be dissolved in the water inside the porous medium of fruits and vegetables. The migration of solutes can occur simultaneously with the transfer of wet content during drying. It is still lacking in the mass-transfer mechanism of drying in the internal micropores of fruit and vegetable porous media so far. It is a high demand to determine the influence of microporous structure characteristics of fruits and vegetables on the mass transfer process during drying. In this study, a systematic simulation was carried out for the mass transfer in the microporous media of fruits and vegetables during drying using molecular dynamics. The diffusion process model of smooth wall solution and the diffusion process model of rough wall solution were constructed after simulation. The SPC/E water molecular model was also selected under the OPLS-AA all-atomic force field and the regular ensemble. The solution potential function was established with the electrostatic Coulomb and Lennard-Jones interaction. Among them, the initial velocity of the central water molecule was given by the Gaussian distribution. The Velocity-Verlet algorithm was then used to update the position and velocity of atoms. The water molecules were fixed with the SHAKE algorithm. Periodic boundary conditions were applied in the x and y directions of the simulated aperture, whereas, the fixed wall boundary conditions were applied in the z direction. The diffusion process of the internal solution was simulated in the porous media of fruits and vegetables from the molecular level. The improved model was verified using the hot-air drying experiment of potatoes. The experimental value was the closest to the simulated using the KCl solution rough wall model, where the maximum relative error was 17.39%. There was the largest difference between the experimental and the simulated value of the pure water model. Therefore, the rough wall model was much closer to the real pore wall structure, without considering the influence of the presence of solute on the water diffusion coefficient. The radial distribution function demonstrated that K+ and Cl- posed damaging effects on the hydrogen bond structure of water molecules, while both K+ and Cl- shared two hydration layers. The H2O molecule was close to K+ with an O atom, and Cl- with an H atom. The important influences were obtained on the water diffusion coefficient in the pores, including the solute concentration, pore diameter, wall roughness factor, and phase area fraction. The diffusion process of KCl solutions with different mass fractions showed that the larger the solution mass fraction was, the smaller the water diffusion coefficient was. The optimal combination was achieved in the diffusion coefficient of the water during drying. Specifically, there was an increase in the pore diameter, drying temperature, and the area fraction of the rough wall, whereas, a decrease was observed in the roughness factor of the rough wall. The finding can also provide a theoretical basis to analyze the drying quality and process optimization of fruits and vegetables. [ABSTRACT FROM AUTHOR]

Euler-Euler models can be used to describe the fluid and particulate phase suitable for the two-phase flow in a double-suction centrifugal pump. The sediment diffusion coefficient is one of the most important moduli to express the interaction between the solid-liquid phases. There are the commonly-used three models of the semi-empirical sediment diffusion coefficient. In this study, the NON-DC, Diffusion-in-VOF, and DC-PDPC models were used separately to numerically simulate the solid-liquid two-phase flow field in the double suction centrifugal pump. A systematic analysis was also made to clarify the effects of the three models of sediment diffusion coefficient on the steady and unsteady solid phase concentration and velocity at different flow rates under three particle sizes of 25, 100, and 200 μm. The results show that there was a similar steady calculation of solid-liquid two-phase flow in the double-suction centrifugal pump using different models of sediment diffusion coefficient under different particle sizes and rated operating conditions. However, there was a greatly different unsteady distribution in the solid phase concentration using different models of sediment diffusion coefficient. Specifically, the difference increased gradually under low flow conditions with the increase of particle size. Different models of sediment diffusion coefficient shared little influence on the steady solid-liquid two-phase flow for the small diameter particle no more than 100 μm, but there was a great influence on the large diameter particle greater than 100 μm under low flow conditions. Meanwhile, the steady solid-liquid two-phase flow was basically the same, when the particle size ds was less than or equal to 100 μm. Once the particle size was more than 100 μm, the difference of steady increased gradually with the increase of particle size. The greatly different unsteady solid-liquid two-phase flow field was found under the conditions of different particle sizes, where the difference increased gradually with the increase of particle size. Therefore, the basic same was observed for the steady calculation of solid-liquid two-phase flow with the small diameter particle no more than 100 μm. However, there was quite difference both between the steady calculation with a large diameter particle greater than 100 μm and the unsteady calculation under different sediment conditions. Therefore, it is necessary to optimize the suitable model of sediment diffusion coefficient for these conditions. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of China University of Petroleum is the property of China University of Petroleum and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Materiae Compositae Sinica is the property of Acta Materiea Compositae Sinica Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cereals are very valuable food sources of healthy and sustainable protein. Food innovations in cereal protein are ever transitioning to more sustainable food systems for healthy diets. A more precise understanding is required by the functions that cereal proteins have. The application of cereal proteins has greatly contributed to genomics and food science today. In this study, a functional prediction was proposed for the cereal proteins using a multilayer functional structure, in order to select the functional proteins more conveniently and accurately. A large-scale interaction network was also constructed with the indica, japonica, wheat, maize, and soybean data. Firstly, the relevant functions of unknown proteins were explored via the interaction of functional features of clusters with the unknown proteins. Secondly, new protein weights, semantic similarity, and functional hierarchy weights were defined to determine the possible functions of proteins. Finally, the grain protein function was further determined using a scoring mechanism in the prediction of the function. The results show that better performance was achieved to predict the function of cereal proteins, particularly with a precision of about 77% for the accurate protein function prediction and up to 92% for the fuzzy protein function prediction using retraceability. A great contribution was made to determine the functional range of unknown proteins, especially with the high efficiency of prediction. The precision of protein function prediction varied significantly at different levels, with an average precision of 92% at level-1, 85% at level-2, and 69% at the level-4. More importantly, the average precision was close to 80% in all six levels of FunCat. As such, the multi-layer functional structure of proteins was predicted to calculate the number of unknown proteins with different sizes. The precision of the prediction was 76% at an unknown protein size of 50, 72% at an unknown protein number of 100, and 66% at an unknown protein number of 200. There was no sharp decrease with the significant increase in the prediction size. It infers that the prediction still performed the best in the case of large-scale unknown proteins. A comparison was made with the latest algorithms, such as FUNPRED_SEQSIN, DAC (Diffusion Alignment Coefficient), and PILL (Predict protein function using Incomplete hierarchical LabeLs). In terms of precision, recall, and F-measured, the performance of the improved prediction was significantly better than the others. The experimental results show that 1) the prediction can be expected to serve as the predicted function hierarchical, particularly for the protein with the specified function, or the available protein functions of specified functional levels; 2) The average precision of the cereal protein function in the first four layers of FunCat (Functional Catelogue) can reach more than 80%, even to realize the prediction of the fifth and sixth layers of the protein; 3) The retrospective nature of the hierarchy can allow the functions with the low predictions to be returned to the higher level functions. As such, the probability of false positives was reduced to improve the overall prediction accuracy. The finding can also provide a strong reference to the protein function prediction in the food industry. [ABSTRACT FROM AUTHOR]

It is of great importance to numerically capture discontinuities for the numerical solutions to hyperbolic conservation laws equations. The PINN (physics-informed neural networks) was used to solve the forward problem of the hyperbolic conservation laws equations, with the diffusion term added, which is difficult to determine and needs to be obtained through high-cost trial calculation. To capture the discontinuous solutions and save calculation costs, the equation was regularized through addition of diffusive terms. Then the regularized equation was incorporated into the loss function, and the exact solutions or reference solutions to the conservation laws equations were used as the training set to learn the diffusion coefficients, and the solutions at different moments were predicted. Compared with that of the PINN method for solving forward problems, the resolution of discontinuous solutions was improved, and the trouble of massive trial calculation was avoided. Finally, the feasibility of the algorithm was verified by 1D and 2D numerical experiments. The numerical results show that, the new algorithm has better ability to capture discontinuities, produces no spurious oscillations and no screed phenomena. Additionally, the diffusive coefficients obtained with the new algorithm make a reference to construct the classic numerical scheme. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Architecture & Civil Engineering is the property of Chang'an Daxue Zazhishe and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Imaging Science & Photochemistry is the property of Imaging Science & Photochemistry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Imaging Science & Photochemistry is the property of Imaging Science & Photochemistry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to explore the hot air drying characteristics of scomber japonicus, the drying kinetics at different hot air drying temperatures (70,80 and 90 °C) were investigated. The effects of different drying temperatures on the quality of dried fish were studied using texture properties, color, TBA value and water distribution as indicators. Results show that the hot air drying of scomber japonicus muscle mainly underwent a slow-down drying stage. The effective water diffusion coefficient ranges from 4.856 7x 10-10 to 9.411 1x10-10 m²/s,and the diffusion activation energy is 33.587 7 kJ/mol. By comparing the fitting results of four drying models, the Page and Logarithmic models were obtained to describe the hot air drying process of scomber japonicus. With the increase of hot air drying temperature, the hardness and chewiness of scomber japonicus increase significantly, and the TBA value, a* and b* values increase significantly. The non-mobile water is the most abundant water in dried scomber japonicus, and its content decreases from 93.06% to 90.25% as the drying temperature increases from 70 °C to 90 °C. The study results can provide theoretical reference for the production of dried scomber japonicus meat by hot air drying. [ABSTRACT FROM AUTHOR]

Objective: To explore the value of each parameter value of 3.0 T magnetic resonance (MRI) intra-voxel incoherent motion imaging (IVIM-DWI) in peripheral lung cancer on its blood supply and cell density. Methods: A total of 50 patients who underwent surgical resection in our hospital from January 2019 to October 2021 and were confirmed to be peripheral lung cancer by pathological examination were selected. All patients underwent conventional MRI scan, enhanced and IVIM-DWI imaging before surgery. Standardized apparent diffusion coefficient (s ADC), true diffusion coefficient (D), perfusion-related diffusion coefficient (D*), and perfusion fraction (f) of lesions and contralateral symmetric normal lung tissue. Compare the IVIM-DWI parameters of the two; compare the IVIM-DWI parameters of peripheral lung cancer lesions with different enhancement degrees; Spearman rank correlation analysis of the correlation between the IVIM-DWI parameters and the enhancement degree of peripheral lung cancer lesions; curve to analyze the evaluation value of highly correlated IVIM-DWI parameters for peripheral lung cancer blood supply and cell density. Results: The s ADC and D of peripheral lung cancer lesions were lower than those of normal lung tissue, while D* and f were higher than those of normal lung tissue, and the differences were statistically significant (P<0.05). The D* and f of peripheral lung cancer lesions with high enhancement were lower than those of moderate enhancement and mild enhancement, while D was only higher than that of mild enhancement, and the differences were statistically significant (P<0.05). Statistical difference (P>0.05). Spearman rank correlation analysis showed that D* of peripheral lung cancer lesions was positively correlated with enhancement degree (P<0.05), and f was negatively correlated with enhancement degree (P<0.05). The ROC curve analysis showed that the AUC of D* and f for evaluating the blood supply and cell density of peripheral lung cancer was greater than 0.700, suggesting that they have a high evaluation value. Conclusion: IVIM-DWI model can not only reflect the blood supply of peripheral lung cancer, but also reflect the density of diseased cells, which helps to improve the evaluation value of the blood vessels and cell density of peripheral lung cancer. [ABSTRACT FROM AUTHOR]