Bin planning (arrangements) is a key factor in the timber industry. Improper planning of the storage bins may lead to inefficient transportation of resources, which threaten the overall efficiency and thereby limit th...Bin planning (arrangements) is a key factor in the timber industry. Improper planning of the storage bins may lead to inefficient transportation of resources, which threaten the overall efficiency and thereby limit the profit margins of sawmills. To address this challenge, a simulation model has been developed. However, as numerous alternatives are available for arranging bins, simulating all possibilities will take an enormous amount of time and it is computationally infeasible. A discrete-event simulation model incorporating meta-heuristic algorithms has therefore been investigated in this study. Preliminary investigations indicate that the results achieved by GA based simulation model are promising and better than the other meta-heuristic algorithm. Further, a sensitivity analysis has been done on the GA based optimal arrangement which contributes to gaining insights and knowledge about the real system that ultimately leads to improved and enhanced efficiency in sawmill yards. It is expected that the results achieved in the work will support timber industries in making optimal decisions with respect to arrangement of storage bins in a sawmill yard.展开更多
Purpose K-edge imaging based on the photon counting detectors(PCDs)is an effective enhanced imaging method because the PCDs are conducive to the K-edge imaging due to the adjustable energy thresholds.The energy bins s...Purpose K-edge imaging based on the photon counting detectors(PCDs)is an effective enhanced imaging method because the PCDs are conducive to the K-edge imaging due to the adjustable energy thresholds.The energy bins significantly affect the image quality of the K-edge imaging,but the conventional energy bins used for K-edge imaging are continuous which weaken the K-edge signal and decline the image quality.Hence,how to get a better K-edge signal by the optimized energy bins is the key point for the K-edge imaging based on the PCDs.Method This paper experimentally studied the influence of the energy bins used for the K-edge imaging based on the PCDs.The conventional energy bins were determined by the theoretical-attenuation method(TAM),and the optimized energy bins were determined by the threshold-scan method(TSM).For the phantom and mice imaging,we performed both the K-edge subtraction algorithm and the K-edge decomposition algorithm on the projections obtained by the energy bins which were determined by the TAM and TSM.The image quality was compared using the CNR of the objective area.Results The experimental results showed that the energy bins identified by the TSM had a better performance than the TAM in both imaging methods.The TSM improved the CNR by~39%than the TAM in the phantom results and could better highlight the areas where the contrast agents are enriched(such as the kidney).Conclusions The optimized energy bins can better highlight the K-edge signal than the conventional energy bins which can improve the image quality and have the potential to reduce the amount of the contrast agents.展开更多
Temperature plays a crucial role in shaping microbial ecosystems during anaerobic digestion.However,the specific microbial communities and their functions across a wide temperature range still remain elusive.This stud...Temperature plays a crucial role in shaping microbial ecosystems during anaerobic digestion.However,the specific microbial communities and their functions across a wide temperature range still remain elusive.This study employed a genome-centric metagenomic approach to explore microbial metabolic pathways and synergistic networks at temperatures of 35,44,53,55,and 65℃.A total of 84 metagenome assembled genomes(MAGs)were assembled,with over 65%of these MAGs corresponding to novel bacterial and archaeal species(including Firmicutes,Chloroflexota,Bacteroidia and Methanobacteriota),greatly enhancing our current comprehension anaerobic digestion process.Notably,functional annotation identified that 44_bin.2(Methanothrix_A sp.001602645)harbors enzymes associated with hydrogenotrophic metabolism.Additionally,this microorganism exhibited diverse metabolic capabilities at 44℃,a temperature commonly employed in industrial practice yet less explored in bench studies.Consequently,it implies a promising potential for conducting anaerobic digestion at a moderate thermophilic temperature,as opposed to the conventional mesophilic range.The microorganism exhibited a variety of metabolic capabilities at 44℃,a temperature frequently employed in industrial applications but underexplored in laboratory investigations.The findings suggest that anaerobic digestion carried out at moderate thermophilic temperatures may have a higher potential for methane production.展开更多
On August 20,the Xi Jinping Thought on Diplomacy Studies Center held a book launch event“Hand in Hand,Heart to Heart-Toward a Shared Future”for Stories of the SCO in the New Era in Beijing.China's Assistant Mini...On August 20,the Xi Jinping Thought on Diplomacy Studies Center held a book launch event“Hand in Hand,Heart to Heart-Toward a Shared Future”for Stories of the SCO in the New Era in Beijing.China's Assistant Minister of Foreign Affairs Liu Bin and Deputy Secretary-General of the Shanghai Cooperation Organization(SCO)Ahmad Saidmurodzoda delivered speeches at the event,which was also attended by Zhang Deguang,China's former Vice Foreign Minister and the SCO's inaugural Secretary-General.展开更多
The intricacies of Alzheimer’s disease pathogenesis are being increasingly illuminated by the exploration of epigenetic mechanisms,particularly DNA methylation.This review comprehensively surveys recent human-centere...The intricacies of Alzheimer’s disease pathogenesis are being increasingly illuminated by the exploration of epigenetic mechanisms,particularly DNA methylation.This review comprehensively surveys recent human-centered studies that investigate whole genome DNA methylation in Alzheimer’s disease neuropathology.The examination of various brain regions reveals distinctive DNA methylation patterns that associate with the Braak stage and Alzheimer’s disease progression.The entorhinal cortex emerges as a focal point due to its early histological alterations and subsequent impact on downstream regions like the hippocampus.Notably,ANK1 hypermethylation,a protein implicated in neurofibrillary tangle formation,was recurrently identified in the entorhinal cortex.Further,the middle temporal gyrus and prefrontal cortex were shown to exhibit significant hypermethylation of genes like HOXA3,RHBDF2,and MCF2L,potentially influencing neuroinflammatory processes.The complex role of BIN1 in late-onset Alzheimer’s disease is underscored by its association with altered methylation patterns.Despite the disparities across studies,these findings highlight the intricate interplay between epigenetic modifications and Alzheimer’s disease pathology.Future research efforts should address methodological variations,incorporate diverse cohorts,and consider environmental factors to unravel the nuanced epigenetic landscape underlying Alzheimer’s disease progression.展开更多
In digital soil mapping(DSM),a fundamental assumption is that the spatial variability of the target variable can be explained by the predictors or environmental covariates.Strategies to adequately sample the predictor...In digital soil mapping(DSM),a fundamental assumption is that the spatial variability of the target variable can be explained by the predictors or environmental covariates.Strategies to adequately sample the predictors have been well documented,with the conditioned Latin hypercube sampling(cLHS)algorithm receiving the most attention in the DSM community.Despite advances in sampling design,a critical gap remains in determining the number of samples required for DSM projects.We propose a simple workflow and function coded in R language to determine the minimum sample size for the cLHS algorithm based on histograms of the predictor variables using the Freedman-Diaconis rule for determining optimal bin width.Data preprocessing was included to correct for multimodal and non-normally distributed data,as these can affect sample size determination from the histogram.Based on a user-selected quantile range(QR)for the sample plan,the densities of the histogram bins at the upper and lower bounds of the QR were used as a scaling factor to determine minimum sample size.This technique was applied to a field-scale set of environmental covariates for a well-sampled agricultural study site near Guelph,Ontario,Canada,and tested across a range of QRs.The results showed increasing minimum sample size with an increase in the QR selected.Minimum sample size increased from 44 to 83 when the QR increased from 50% to 95% and then increased exponentially to 194 for the 99%QR.This technique provides an estimate of minimum sample size that can be used as an input to the cLHS algorithm.展开更多
Hemoglobin hydrolysate is derived from the enzymatic degradation of hemoglobin.This work aimed to evaluate whether hemoglobin hydrolysate promotes the absorption of non-heme iron and the safety of absorbed iron in mic...Hemoglobin hydrolysate is derived from the enzymatic degradation of hemoglobin.This work aimed to evaluate whether hemoglobin hydrolysate promotes the absorption of non-heme iron and the safety of absorbed iron in mice by analyzing the iron binding content,iron circulation,and liver homeostasis.We found that hemoglobin hydrolysate promoted the absorption of non-heme iron with high efficiency in duodenum by spontaneously binding non-heme iron during digestion,and increased hepatic iron content by up-regulating divalent metal transporter 1,zinc transporter 14,but hepatic iron content only increased at 3 weeks.Duodenal iron entered the blood through ferroportin without restriction at 3 weeks,and excessive iron entered the liver and then affected the hepatocyte membranes permeability and lipid synthesis through oxidative stress.With the prolongation of dietary intervention,the up-regulated hepcidin acted on the ferroportin to restrict excess iron from entering the blood,and then the hepatic homeostasis recovered.In addition,hemoglobin hydrolysate enhanced the hepatic antioxidant capacity.Taken together,hemoglobin hydrolysate has a strong ability to promote the absorption of non-heme iron in vivo,and the absorbed iron is relatively safe due to the regulation of hepcidin.展开更多
文摘Bin planning (arrangements) is a key factor in the timber industry. Improper planning of the storage bins may lead to inefficient transportation of resources, which threaten the overall efficiency and thereby limit the profit margins of sawmills. To address this challenge, a simulation model has been developed. However, as numerous alternatives are available for arranging bins, simulating all possibilities will take an enormous amount of time and it is computationally infeasible. A discrete-event simulation model incorporating meta-heuristic algorithms has therefore been investigated in this study. Preliminary investigations indicate that the results achieved by GA based simulation model are promising and better than the other meta-heuristic algorithm. Further, a sensitivity analysis has been done on the GA based optimal arrangement which contributes to gaining insights and knowledge about the real system that ultimately leads to improved and enhanced efficiency in sawmill yards. It is expected that the results achieved in the work will support timber industries in making optimal decisions with respect to arrangement of storage bins in a sawmill yard.
基金supported by National Key R&D Program of China(Grant No.2016YFC0100400)Science and Tech-nology Service network Initiative of Chinese Academy of Sciences(Grant No.KFJ-STS-QYZD-193)+1 种基金Instrument Developing Project of Chinese Academy of Sciences(Grant No.YZ201511)National Natu-ral Science Foundation of China(Grant No.11975250)
文摘Purpose K-edge imaging based on the photon counting detectors(PCDs)is an effective enhanced imaging method because the PCDs are conducive to the K-edge imaging due to the adjustable energy thresholds.The energy bins significantly affect the image quality of the K-edge imaging,but the conventional energy bins used for K-edge imaging are continuous which weaken the K-edge signal and decline the image quality.Hence,how to get a better K-edge signal by the optimized energy bins is the key point for the K-edge imaging based on the PCDs.Method This paper experimentally studied the influence of the energy bins used for the K-edge imaging based on the PCDs.The conventional energy bins were determined by the theoretical-attenuation method(TAM),and the optimized energy bins were determined by the threshold-scan method(TSM).For the phantom and mice imaging,we performed both the K-edge subtraction algorithm and the K-edge decomposition algorithm on the projections obtained by the energy bins which were determined by the TAM and TSM.The image quality was compared using the CNR of the objective area.Results The experimental results showed that the energy bins identified by the TSM had a better performance than the TAM in both imaging methods.The TSM improved the CNR by~39%than the TAM in the phantom results and could better highlight the areas where the contrast agents are enriched(such as the kidney).Conclusions The optimized energy bins can better highlight the K-edge signal than the conventional energy bins which can improve the image quality and have the potential to reduce the amount of the contrast agents.
基金supported by the National Natural Science Foundation of China(No.52270138)。
文摘Temperature plays a crucial role in shaping microbial ecosystems during anaerobic digestion.However,the specific microbial communities and their functions across a wide temperature range still remain elusive.This study employed a genome-centric metagenomic approach to explore microbial metabolic pathways and synergistic networks at temperatures of 35,44,53,55,and 65℃.A total of 84 metagenome assembled genomes(MAGs)were assembled,with over 65%of these MAGs corresponding to novel bacterial and archaeal species(including Firmicutes,Chloroflexota,Bacteroidia and Methanobacteriota),greatly enhancing our current comprehension anaerobic digestion process.Notably,functional annotation identified that 44_bin.2(Methanothrix_A sp.001602645)harbors enzymes associated with hydrogenotrophic metabolism.Additionally,this microorganism exhibited diverse metabolic capabilities at 44℃,a temperature commonly employed in industrial practice yet less explored in bench studies.Consequently,it implies a promising potential for conducting anaerobic digestion at a moderate thermophilic temperature,as opposed to the conventional mesophilic range.The microorganism exhibited a variety of metabolic capabilities at 44℃,a temperature frequently employed in industrial applications but underexplored in laboratory investigations.The findings suggest that anaerobic digestion carried out at moderate thermophilic temperatures may have a higher potential for methane production.
文摘On August 20,the Xi Jinping Thought on Diplomacy Studies Center held a book launch event“Hand in Hand,Heart to Heart-Toward a Shared Future”for Stories of the SCO in the New Era in Beijing.China's Assistant Minister of Foreign Affairs Liu Bin and Deputy Secretary-General of the Shanghai Cooperation Organization(SCO)Ahmad Saidmurodzoda delivered speeches at the event,which was also attended by Zhang Deguang,China's former Vice Foreign Minister and the SCO's inaugural Secretary-General.
文摘The intricacies of Alzheimer’s disease pathogenesis are being increasingly illuminated by the exploration of epigenetic mechanisms,particularly DNA methylation.This review comprehensively surveys recent human-centered studies that investigate whole genome DNA methylation in Alzheimer’s disease neuropathology.The examination of various brain regions reveals distinctive DNA methylation patterns that associate with the Braak stage and Alzheimer’s disease progression.The entorhinal cortex emerges as a focal point due to its early histological alterations and subsequent impact on downstream regions like the hippocampus.Notably,ANK1 hypermethylation,a protein implicated in neurofibrillary tangle formation,was recurrently identified in the entorhinal cortex.Further,the middle temporal gyrus and prefrontal cortex were shown to exhibit significant hypermethylation of genes like HOXA3,RHBDF2,and MCF2L,potentially influencing neuroinflammatory processes.The complex role of BIN1 in late-onset Alzheimer’s disease is underscored by its association with altered methylation patterns.Despite the disparities across studies,these findings highlight the intricate interplay between epigenetic modifications and Alzheimer’s disease pathology.Future research efforts should address methodological variations,incorporate diverse cohorts,and consider environmental factors to unravel the nuanced epigenetic landscape underlying Alzheimer’s disease progression.
基金the Natural Science and Engineering Research Council(NSERC)of Canada,which supported and funded this project through an NSERC Postgraduate Scholarship—Doctoral(PGS-D)。
文摘In digital soil mapping(DSM),a fundamental assumption is that the spatial variability of the target variable can be explained by the predictors or environmental covariates.Strategies to adequately sample the predictors have been well documented,with the conditioned Latin hypercube sampling(cLHS)algorithm receiving the most attention in the DSM community.Despite advances in sampling design,a critical gap remains in determining the number of samples required for DSM projects.We propose a simple workflow and function coded in R language to determine the minimum sample size for the cLHS algorithm based on histograms of the predictor variables using the Freedman-Diaconis rule for determining optimal bin width.Data preprocessing was included to correct for multimodal and non-normally distributed data,as these can affect sample size determination from the histogram.Based on a user-selected quantile range(QR)for the sample plan,the densities of the histogram bins at the upper and lower bounds of the QR were used as a scaling factor to determine minimum sample size.This technique was applied to a field-scale set of environmental covariates for a well-sampled agricultural study site near Guelph,Ontario,Canada,and tested across a range of QRs.The results showed increasing minimum sample size with an increase in the QR selected.Minimum sample size increased from 44 to 83 when the QR increased from 50% to 95% and then increased exponentially to 194 for the 99%QR.This technique provides an estimate of minimum sample size that can be used as an input to the cLHS algorithm.
基金supported by the National Natural Science Foundation of China(32072211)Jiangsu Province Department of Education(Innovation Group of Meat Nutrition and Biotechnology)。
文摘Hemoglobin hydrolysate is derived from the enzymatic degradation of hemoglobin.This work aimed to evaluate whether hemoglobin hydrolysate promotes the absorption of non-heme iron and the safety of absorbed iron in mice by analyzing the iron binding content,iron circulation,and liver homeostasis.We found that hemoglobin hydrolysate promoted the absorption of non-heme iron with high efficiency in duodenum by spontaneously binding non-heme iron during digestion,and increased hepatic iron content by up-regulating divalent metal transporter 1,zinc transporter 14,but hepatic iron content only increased at 3 weeks.Duodenal iron entered the blood through ferroportin without restriction at 3 weeks,and excessive iron entered the liver and then affected the hepatocyte membranes permeability and lipid synthesis through oxidative stress.With the prolongation of dietary intervention,the up-regulated hepcidin acted on the ferroportin to restrict excess iron from entering the blood,and then the hepatic homeostasis recovered.In addition,hemoglobin hydrolysate enhanced the hepatic antioxidant capacity.Taken together,hemoglobin hydrolysate has a strong ability to promote the absorption of non-heme iron in vivo,and the absorbed iron is relatively safe due to the regulation of hepcidin.
