Modeling the Relationships Between Wood Properties and Quality of Veneer and Plywood of Chinese Plantation Poplars

Following our earlier studies on the relationships between wood properties and the quality of veneer and plywood of Chinese plantation poplars, this study attempted to model their relationships with stepwise and multiple linear regression. The results show that the selected three indices of wood quality of veneer and plywood of plantations poplars grown on the shore of the Yangtse River in China, which are the variance of veneer thickness (VVT), the ratio of lathe check in veneer (ratio of the depth of check to the thickness of veneer) (RLC), and the glue-bond strength of plywood (GS), can be satisfactorily predicted with the key wood properties using the individual regression equations. The variance of veneer thickness (VVT) is a function of fiber width (FW), proportion of vessel (VP), and fiber (FP): VVT = -3.414 + 0.063 FW + 0.049 FP - 0.033 VP. The ratio of lathe check in veneer (RLC) is a function of wood hardness on tangential surface (TH), modulus of elasticity in bending (MOE), air-dry wood density (WD), and total volumetric shrinkage of wood (SV): RLC = 9.472 + 0.005 TH + 0.003 MOE + 8.366 WD - 2.302 SV. The glue-bond strength of plywood (GS) is a function of pH values (PH), fiber length (FL), fiber width (FW), vessel length (VL), and proportion of vessel (VP) and ray (RP): GS = 3.326 - 0.268 PH - 0.002 FL + 0.191 FW - 0.004 VL - 0.033 VP + 0.095 RP. The correlation coefficients (r) of the above regression equations are 0.73-0.93. The determination coefficients (r2) for the regression equations are 0.54-0.88. The regression equations are highly statistically significant at the 1% level. The differences between the model predicted and experimentally measured values are not statistically significant

Study of Manufacturing Thermochromic Wood

The development of new materials such as thermochromic wood provides an interesting option for the forest products industry. Poplar veneer was colored by ultrasonic impregnation using a thermochromic agent consisting of thermochromic dye, a chromogenic agent, 1-tetradecanol, and a sensitizing agent. In optimizing the process, the most significant influence on the extent of sample color change (ΔE) was found to be the mixing ratio of thermochromic dye to chromogenic agent. Next was the mixing ratio of thermochromic dye to 1-tetradecanol and last that of thermochromic dye to sensitizing agent. Analysis of 0variance showed that the influences of all experimental parameters on ΔE were significant at the 0.01 level. The optimum mixing ratio of thermochromic dye, the chromogenic agent, 1-tetradecanol, and the sensitizing agent was 1:8:50:1. The color of these new products changed from blue to wood color as temperature increased 26-34°C and reverted from normal wood color to blue as temperature decreased from 34-26°C

Site selection of LNG terminal based on cloud matter element model and principal component analysis

With the development of liquefied natural gas(LNG) port, as one of the crucial LNG port sitting process, the LNG terminal site’s condition assessment method has always received attention from experts, scholars concern more and more about the method’s practicality and reliability. In the traditional condition assessment method, due to the characteristics of the complex and extensive factors in the comprehensive assessment of the LNG terminal site, the assessment system is not comprehensive enough, or the assessment is too complex, the indexes are not easy to quantify, such problems are emerging. In view of the above reasons, the principal component analysis(PCA) method is used to transform the multi-indicators that affect the comparison of terminal sites into a few comprehensive indicators. A comprehensive evaluation model of the LNG terminal site based on cloud matter element theory and subjective and objective comprehensive weighting method was constructed. By the subjective and objective comprehensive weighting method, the comprehensive weight of each index is determined and the LNG terminal site comprehensive assessment standard cloud element model is constructed with the combination of cloud model and matter-element theory. The cloud matter-element correlation function is established to determine the degree of association between the matter element to be evaluated and the standard cloud matter element model. In order to eliminate random errors and improve the credibility of the results, the algorithm is used for multiple calculations and analysis to achieve the purpose of simultaneously giving the evaluation results and coefficients of credible degree. Finally, the reliability and rationality of the method are verified by an example

Effects of adding aluminium in zinc bath on Co-Zn interfacial reaction

764-769Effects of adding 0.3 wt.% Al in Zn bath on the microstructure and reaction kinetics of intermetallic compounds have been studied using Co/Zn and Co/Zn-Al solid/liquid diffusion couples by means of scanning electron microscopy (SEM) and wave dispersive spectrometry (WDS). The intermetallic compounds in the Co-Zn interface have been identified and the diffusion process of Al in zinc bath has been analyzed. The diffusion constants of intermetallic compounds have been evaluated. The chemical potential of Al and standard Gibbs free energy of intermetallic compounds have been calculated using the Co content as a variable based on the calculation of phase diagram (CALPHAD) method. The results show that the chemical potential of Al decreases with increasing Co. At the solid/liquid interface, the Co content is high, the chemical potential of Al atoms is lower than that in other areas, uphill diffusion of Al atoms occurs, and an Al-rich metastable phase forms. The Gibbs free energy of the CoAl phase is lower than that of Co-Zn compounds; therefore, the Co atoms diffuse through the γ2 layer into the Al-rich area and nucleate to form a shape-stable CoAl layer at the solid/liquid interface and significantly inhibit the Co-Zn interfacial reaction

Effects of adding aluminium in zinc bath on Co-Zn interfacial reaction

Effects of adding 0.3 wt.% Al in Zn bath on the microstructure and reaction kinetics of intermetallic compounds have been studied using Co/Zn and Co/Zn-Al solid/liquid diffusion couples by means of scanning electron microscopy (SEM) and wave dispersive spectrometry (WDS). The intermetallic compounds in the Co-Zn interface have been identified and the diffusion process of Al in zinc bath has been analyzed. The diffusion constants of intermetallic compounds have been evaluated. The chemical potential of Al and standard Gibbs free energy of intermetallic compounds have been calculated using the Co content as a variable based on the calculation of phase diagram (CALPHAD) method. The results show that the chemical potential of Al decreases with increasing Co. At the solid/liquid interface, the Co content is high, the chemical potential of Al atoms is lower than that in other areas, uphill diffusion of Al atoms occurs, and an Al-rich metastable phase forms. The Gibbs free energy of the CoAl phase is lower than that of Co-Zn compounds; therefore, the Co atoms diffuse through the γ2 layer into the Al-rich area and nucleate to form a shape-stable CoAl layer at the solid/liquid interface and significantly inhibit the Co-Zn interfacial reaction

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations

Web applications are increasingly becoming the primary platform for AI service delivery, making in-browser deep learning (DL) inference more prominent. However, current in-browser inference systems fail to effectively utilize advanced web programming techniques and customize kernels for various client devices, leading to suboptimal performance. To address the issues, this paper presents the first in-browser inference system, nn-JIT.web, which enables just-in-time (JIT) auto-generation of optimized kernels for both CPUs and GPUs during inference. The system achieves this by using two novel web programming techniques that can significantly reduce kernel generation time, compared to other tensor compilers such as TVM, while maintaining or even improving performance. The first technique, Tensor-Web Compiling Co-Design, lowers compiling costs by unifying tensor and web compiling and eliminating redundant and ineffective compiling passes. The second technique, Web-Specific Lite Kernel Optimization Space Design, reduces kernel tuning costs by focusing on web programming requirements and efficient hardware resource utilization, limiting the optimization space to only dozens. nn-JIT.web is evaluated for modern transformer models on a range of client devices, including the mainstream CPUs and GPUs from ARM, Intel, AMD and Nvidia. Results show that nn-JIT.web can achieve up to 8.2x faster within 30 seconds compared to the baselines across various models

Dent Disease in Chinese Children and Findings from Heterozygous Mothers: Phenotypic Heterogeneity, Fetal Growth, and 10 Novel Mutations.

Par Antoine Blanchard et Mélodie Faury pour le collectif Révoluscience Billet publié simultanément sur Sciences et Démocratie et Knowtex Blog Les "lieux" des réactions Plusieurs dispositifs avaient été mis en place pour recueillir les réactions des lecteurs, d'abord sur le blog du manifeste où les commentaires étaient possibles sous chaque proposition, puis sur un site de travail collaboratif permettant d’en annoter le texte, paragraphe par paragraphe. On alliait ainsi critique d'un côté et..

Dent Disease in Chinese Children and Findings from Heterozygous Mothers: Phenotypic Heterogeneity, Fetal Growth, and 10 Novel Mutations.

OBJECTIVE: To characterize the phenotypes of Dent disease in Chinese children and their heterozygous mothers and to establish genetic diagnoses. STUDY DESIGN: Using a modified protocol, we screened 1288 individuals with proteinuria. A diagnosis of Dent disease was established in 19 boys from 16 families by the presence of loss of function/deleterious mutations in CLCN5 or OCRL1. We also analyzed 16 available patients' mothers and examined their pregnancy records. RESULTS: We detected 14 loss of function/deleterious mutations of CLCN5 in 15 boys and 2 mutations of OCRL1 in 4 boys. Of the patients, 16 of 19 had been wrongly diagnosed with other diseases and 11 of 19 had incorrect or unnecessary treatment. None of the patients, but 6 of 14 mothers, had nephrocalcinosis or nephrolithiasis at diagnosis. Of the patients, 8 of 14 with Dent disease 1 were large for gestational age (>90th percentile); 8 of 15 (53.3%) had rickets. We also present predicted structural changes for 4 mutant proteins. CONCLUSIONS: Pediatric Dent disease often is misdiagnosed; genetic testing achieves a correct diagnosis. Nephrocalcinosis or nephrolithiasis may not be sensitive diagnostic criteria. We identified 10 novel mutations in CLCN5 and OCRL1. The possibility that altered CLCN5 function could affect fetal growth and a possible link between a high rate of rickets and low calcium intake are discussed