Transcriptomics and metabolomics analyses provide insights into postharvest ripening and senescence of tomato fruit under low temperature

Tomato is one of the most important vegetable crops in the world and is a model plant used to study the ripening of climacteric fleshy fruit.During the ripening process of tomato fruit,flavor and aroma metabolites,color,texture and plant hormones undergo significant changes.However,low temperatures delayed the ripening process of tomato fruit,inhibiting flavor compounds and ethylene production.Metabolomics and transcriptomics analyses of tomato fruit stored under low temperature(LT,5°C)and room temperature(RT,25°C)were carried out to investigate the effects of storage temperature on the physiological changes in tomato fruit after harvest.The results of transcriptomics changes revealed that the differentially expressed genes(DEGs)involved in tomato fruit ripening,including several kinds of transcription factors(TFs)(TCP,WRKY,MYB and bZIP),enzymes involved in cell wall metabolism[beta-galactosidase(β-GAL),pectinesterase(PE)and pectate lyase(PL),cellulose and cellulose synthase(CESA)],enzymes associated with fruit flavor and aroma[acetyltransferase(AT),malic enzyme(ME),lipoxygenase(LOX),aldehyde dehydrogenase(ALDH),alcohol dehydrogenase(ADH)and hexokinase(HK)],genes associated with heat stress protein 70 and genes involved in the production of plant hormones such as Ethylene responsive factor 1(ERF1),Auxin/indoleacetic acids protein(AUX/IAA),gibberellin regulated protein.Based on the above results,we constructed a regulatory network model of the effects of different temperatures during the fruit ripening process.According to the analysis of the metabolomics results,it was found that the contents of many metabolites in tomato fruit were greatly affected by storage temperature,including,organic acids(L-tartaric acid,a-hydroxyisobutyric acid and 4-acetamidobutyric acid),sugars(melezitose,beta-Dlactose,D-sedoheptulose 7-phosphate,2-deoxyribose 1-phosphate and raffinose)and phenols(coniferin,curcumin and feruloylputrescine).This study revealed the effects of storage temperature on postharvest tomato fruit and provided a basis for further understanding of the molecular biology and biochemistry of fruit ripening.

矿焦耦合反应对焦炭溶损行为的影响

“双碳”目标对高炉低碳冶炼提出了更高的要求,从矿焦耦合反应入手评价焦炭质量对理解焦炭在高炉内反应行为、降低高炉碳排放具有重要意义。为了探究矿焦耦合反应过程中焦炭的溶损行为,利用自制支撑式大型热重检测装置对两种具有不同热态性能的焦炭与烧结矿、焦炭与球团矿进行矿焦耦合实验,分析矿焦耦合反应过程中矿石还原度及焦炭碳素溶损率,并对反应前后焦炭的尺寸、光学组织结构、气孔结构进行检测。结果表明,焦炭与球团矿耦合反应的总失重率大于焦炭与烧结矿耦合反应的总失重率,而且焦炭的碳素溶损率和矿石还原度呈正线性相关,提炼拟合方程斜率k值为耦合反应参数以表征矿焦共同反应的耦合程度;焦炭与球团矿耦合反应的k值是焦炭与烧结矿耦合反应的k值的1.94~2.69倍,提高矿石还原性可以增加矿焦反应耦合程度,加剧焦炭表面孔壁溶蚀,导致焦炭溶损缩核程度增加,但可以减弱矿焦耦合反应对焦炭内部光学组织的侵蚀;而提高焦炭反应性则降低了矿焦耦合反应的k值,矿焦反应耦合程度减弱,能够缓解矿焦耦合反应对焦炭气孔溶损行为的影响,减小焦炭的溶损缩核程度,但是会加剧对焦炭内部光学组织的侵蚀。因此焦炭与矿石的性能相匹配才能表现出较高的耦合程度,减缓焦炭强度降级,从而提高高炉效率。

Survival outcomes of conversion surgery for metastatic pancreatic ductal adenocarcinoma after neoadjuvant therapy

Objective:To evaluate the survival outcomes of patients who underwent conversion surgery for metastatic pancreatic ductal adenocarcinoma(mPDAC)after neoadjuvant therapy(NAT)and to identify potential candidates that may benefit from this treat-ment strategy.Background:The role and eligibility population of conversion surgery for mPDAC remains controversial in the era of NAT.Methods:A consecutive cohort of patients diagnosed with mPDAC and treated with NAT followed by conversion surgery be-tween 2019 and 2021 were confirmed from a prospective database maintained by the Department of Pancreatic Hepatobiliary Surgery of Changhai Hospital.In accordance with residual metastases and technical resectability after NAT,patients were classi-fied as the complete pathological response of metastases(ypM0)resection group,residual metastases(ypM1)resection group,and exploration group.Median overall survival(mOS)was calculated using the Kaplan-Meier method,uni-and multivariable cox regression was performed to identify clinicopathological predictors of OS.Results:A total of 244 patients with mPDAC were identified from the prospective database,with 19(7.8%)patients who un-derwent ypM0 resection,22(9.0%)underwent ypM1 resection,and 23(9.4%)underwent explorative laparotomy.The mOS was 32.6 months for ypM0 resected patients,15.1 months for ypM1 resected patients,and 13.4 months for those who underwent explorative laparotomy(P<.001).Univariable and multivariable Cox regression analyses confirmed that ypM0 resection,normal-ization of preoperative CA19-9 levels,and continued adjuvant therapy were independent prognostic factors of conversion surgery for mPDAC after NAT.Subgroup analyses revealed that oligometastases and continued adjuvant therapy were associated with improved prognosis in the ypM1 resection group.Conclusion:In patients with mPDAC who underwent NAT followed by conversion surgery,the complete pathological response of metastases,normalization of preoperative CA19-9 levels,and continued adjuvant therapy were independent risk factors for prognosis.Patients with residual oligometastases after treatment were expected to prolong survival through resection.These patients may benefit from conversion surgery and should be potential candidates for this treatment strategy.

Meta-Path-Based Search and Mining in Heterogeneous Information Networks

Information networks that can be extracted from many domains are widely studied recently. Different functions for mining these networks are proposed and developed, such as ranking, community detection, and link prediction. Most existing network studies are on homogeneous networks, where nodes and links are assumed from one single type. In reality, however, heterogeneous information networks can better model the real-world systems, which are typically semi-structured and typed, following a network schema. In order to mine these heterogeneous information networks directly, we propose to explore the meta structure of the information network, i.e., the network schema. The concepts of meta-paths are proposed to systematically capture numerous semantic relationships across multiple types of objects, which are defined as a path over the graph of network schema. Meta-paths can provide guidance for search and mining of the network and help analyze and understand the semantic meaning of the objects and relations in the network. Under this framework, similarity search and other mining tasks such as relationship prediction and clustering can be addressed by systematic exploration of the network meta structure. Moreover, with user＇s guidance or feedback, we can select the best meta-path or their weighted combination for a specific mining task.

Mining Sensor Data in Cyber-Physical Systems

A Cyber-Physical System （CPS） integrates physical devices （i.e.,sensors） with cyber （i.e.,informational） components to form a context sensitive system that responds intelligently to dynamic changes in real-world situations.Such a system has wide applications in the scenarios of traffic control,battlefield surveillance,environmental monitoring,and so on.A core element of CPS is the collection and assessment of information from noisy,dynamic,and uncertain physical environments integrated with many types of cyber-space resources.The potential of this integration is unbounded.To achieve this potential the raw data acquired from the physical world must be transformed into useable knowledge in real-time.Therefore,CPS brings a new dimension to knowledge discovery because of the emerging synergism of the physical and the cyber.The various properties of the physical world must be addressed in information management and knowledge discovery.This paper discusses the problems of mining sensor data in CPS：With a large number of wireless sensors deployed in a designated area,the task is real time detection of intruders that enter the area based on noisy sensor data.The framework of IntruMine is introduced to discover intruders from untrustworthy sensor data.IntruMine first analyzes the trustworthiness of sensor data,then detects the intruders＇ locations,and verifies the detections based on a graph model of the relationships between sensors and intruders.