The use of frozen dough is an intensive food-processing practice that contributes to the development of chain operations in the bakery industry. However, the fermentation activity of yeasts in frozen dough can be seve...
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The use of frozen dough is an intensive food-processing practice that contributes to the development of chain operations in the bakery industry. However, the fermentation activity of yeasts in frozen dough can be severely damaged by freeze-thaw stress, thereby degrading the final bread quality. In this study, chickpea protein hydrolysate significantly improved the quality of steamed bread made from frozen dough while enhancing the yeast survival rate and maintaining yeast cell structural integrity under freeze-thaw stress. The mechanism underlying this protective role of chickpea protein hydrolysate was further investigated by untargeted metabolomics analysis, which suggested that chickpea protein hydrolysate altered the intracellular metabolites associated with central carbon metabolism, amino acid synthesis, and lipid metabolism to improve yeast cell freeze-thaw tolerance. Therefore, chickpea protein hydrolysate is a promising natural antifreeze component for yeast cryopreservation in the frozen dough industry.
Two FREAs, IUIC-O and IUIC-T, based on an undecacyclic core were developed. IUIC-T having a higher extinction coefficient affords aligned energy levels with PBDB-T, finer nanoscale morphology and more orderly molecula...
Two FREAs, IUIC-O and IUIC-T, based on an undecacyclic core were developed. IUIC-T having a higher extinction coefficient affords aligned energy levels with PBDB-T, finer nanoscale morphology and more orderly molecular stacking, thus achieving more efficient exciton dissociation and charge transport. Therefore, the PBDB-T:IUIC-T based OSC gains a higher PCE of 13.05%.
Inbreeding can have negative consequences on population and individual fitness, which could be counteracted by inbreeding avoidance mechanisms. However, the inbreeding risk and inbreeding avoidance mechanisms in endan...
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Inbreeding can have negative consequences on population and individual fitness, which could be counteracted by inbreeding avoidance mechanisms. However, the inbreeding risk and inbreeding avoidance mechanisms in endangered species are less studied. The giant panda, a solitary and threatened species, lives in many small populations and suffers from habitat fragmentation, which may aggravate the risk of inbreeding. Here, we performed long-term observations of reproductive behaviour, sampling of mother-cub pairs and large-scale genetic analyses on wild giant pandas. Moderate levels of inbreeding were found in 21.1% of mating pairs, 9.1% of parent pairs and 7.7% of panda cubs, but no high-level inbreeding occurred. More significant levels of inbreeding may be avoided passively by female-biased natal dispersal rather than by breeding dispersal or active relatedness-based mate choice mechanisms. The level of inbreeding in giant pandas is greater than expected for a solitary mammal and thus warrants concern for potential inbreeding depression, particularly in small populations isolated by continuing habitat fragmentation, which will reduce female dispersal and increase the risk of inbreeding.
作者：
Ou, XuejinZhang, JingWang, JianPang, fuwenWang, Yongshengwei, XiaweiMa, XueleiSichuan Univ
West China Hosp Dept Biotherapy Chengdu Sichuan Peoples R China Sichuan Univ
State Key Lab Biotherapy Chengdu Sichuan Peoples R China Sichuan Univ
West China Hosp Dept Thorac Oncol Chengdu Sichuan Peoples R China Sichuan Univ
West China Hosp State Key Lab Biotherapy & Canc Ctr Chengdu Sichuan Peoples R China Sichuan Univ
West China Hosp Dept Neurosurg Chengdu Sichuan Peoples R China Nanjing Univ Sci & Technol
Sch Comp Sci Nanjing Jiangsu Peoples R China Sichuan Univ
West China Hosp Dept Nucl Med Chengdu Sichuan Peoples R China Sichuan Univ
West China Hosp Natl Clin Res Ctr Geriatr Lab Aging Res & NanotoxicolState Key Lab Biother Chengdu Sichuan Peoples R China
Purpose Our study assessed the ability F-18-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics to differentiate breast carcinoma from breast lymphoma using machine-learning ...
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Purpose Our study assessed the ability F-18-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics to differentiate breast carcinoma from breast lymphoma using machine-learning approach. Methods Sixty-five breast nodules from 44 patients diagnosed as breast carcinoma or breast lymphoma were included. Standardized uptake value (SUV) and radiomic features from CT and PET images were extracted using local image features extraction software. Six discriminative models including PETa (based on clinical, SUV and radiomic features from PET images), PETb (SUV and radiomic features from PET images), PETc (radiomic features only from PET images), CTa (clinical and radiomic features from CT images), CTb (radiomic features only from CT images), and SUV model were generated using least absolute shrinkage and selection operator method and linear discriminant analysis. The areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were calculated to evaluate the discriminative ability of these models. Results PETa and CTa models showed the best ability to differentiation in training and validation group (AUCs of 0.867 and 0.806 for PETa model, AUCs of 0.891 and 0.759 for CTa model, respectively). Conclusion Models based on clinical, SUV, and radiomic features of F-18-FDG PET/CT images could accurately discriminate breast carcinoma from breast lymphoma.
Novel G.654.E has been large-scale deployed in optical communication network, so it has become urgent problems to reduce the splicing loss, improve the success probability of in one splicing and unsatisfactory splicin...
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Sn3.0Ag3.0Bi3.0In (SABI333) solder is easy to form solder joints with different crystal structures during solidification. Solder joints with different crystal structures can exhibit different failure behaviors during ...
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Sn3.0Ag3.0Bi3.0In (SABI333) solder is easy to form solder joints with different crystal structures during solidification. Solder joints with different crystal structures can exhibit different failure behaviors during creep. Five kinds of SABI333 solder joints with different crystal structures were selected to study the effect of grain boundary on the failure behavior of creep. The scanning electron microscopy (SEM) and electron backscattered diffraction (EBSD) were utilized to characterize the surface morphologies and crystal orientations of solder joints. When there were only low angle grain boundaries or twin boundaries in the solder joints, it was not easy to generate cracks inside the solder joints during creep but easy to generate cracks at the interfaces between the copper bars and solder matrices. However, when there were high angle grain boundaries greater than 70 degrees in the solder joints, the cracks would propagate along such grain boundaries during creep. This phenomenon depends on the difference of grain boundary energy and the difference of deformation degrees of grains on both sides of grain boundaries during creep. The grain boundary energy of the high angle grain boundaries is relatively high and the deformation degrees of grains on both sides of high angle grain boundaries are quite different during creep. This research is conducive to further understand the creep failure behavior of SABI333 solder joints under the service environment.
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