检索结果-南通市图书馆

The adsorption effect of aquaculture residual feed on heavy metals and its impact on microbial metabolism of feed

Ecological Processes 2024年第2期13卷 246-259页

作者： Sufeng Wang Zijng Wang wen zhang Jingshan Li Mingyang Lin Li Chen State Key Laboratory of Metastable Materials Science and Technology Hebei Key Laboratory of Heavy Metal Deep-Remediation in Water and Resource Reuse Yanshan University Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province College of Biology and Environmental EngineeringZhejiang Shuren University Hebei Ocean & Fisheries Science Research Institute

Background Intensive and large-scale aquaculture has a high biological density, and a large amount of artificial feed must be provided. As a result, residual feed would be discharged into natural water bodies with water exchange. Due to heavy metal pollution in surface water, residual feed may adsorb heavy metals in the water, affecting the subsequent microbial degradation of feed and the restoration of the water environment. The combined ecological impacts of these two types of pollution urgently need to be *** This study explored the adsorption effect of residual feed on heavy metals and its impact on microbial degradation of residual feed. The results showed that both the insoluble component（mainly fiber, ash, and ether extract, abbreviated as FAE） and soluble component（soluble protein and starch） of the feed had adsorption effects on heavy metals. As the salinity increased, the adsorption capacity of Cu2+and Cd2+decreased, while the adsorption effect on Pb2+was not changed significantly. The adsorption of heavy metals by residual feed could affect the biological degradation of residual feed. The residual feed could adsorb heavy metals and bacterial cells simultaneously, forming FAE-B（bacteria）-S（starch）-Pr（protein）-metal adsorption complex. This adsorption effect could reduce the negative impact of heavy metals on microbial degradation of residual feed. The simulated degradation experiments in actual water bodies also confirmed this. However, the accumulation of heavy metals in residual feed may bring negative effects, such as being consumed by aquatic organisms and entering the food *** The results of this study provide a basis for the collection and centralized treatment of residual feed in aquaculture, as well as the control and remediation of residual feed pollution in natural water bodies.

关键词： Residual feed Adsorption complex Feed pollution Heavy metal

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

A topology approach to overcome the pore size/volume trade-offs for autonomous indoor humidity control

引用

Science China Chemistry 2024年第9期67卷 2968-2974页

作者： Zhi-Shuo Wang Xue-wen zhang Kai Zheng Xiao-Xian Chen Dong-Dong Zhou Jie-Peng zhang MOE Key Laboratory of Bioinorganic and Synthetic Chemistry GBRCE for Functional Molecular EngineeringSchool of ChemistryIGCMESun Yat-Sen UniversityGuangzhou 510275China Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515021China

Autonomous indoor humidity control is gaining more and more attention but is limited by the trade-offs among pore volume,pore size and water stability of water *** solve this problem by using a unique coordination network topology combined with hydrolytically stable M(Ⅲ)carboxylate *** extending the ligand length from 9.0 to 11.2 and 13.7?,the pore volume significantly increases from 0.99 to 1.40 and 1.78 cm^(3)g^(-1),which proportionally increases the saturated water adsorption ***,the pore size slightly increases from 10.4 to 11.0 and 13.5A,which restricts the isotherm inflection pressure and hysteresis width to meet the requirement of indoor humidity *** single-crystals suitable for Xray diffraction studies were obtained by using Fe(Ⅲ)salts,while isostructural frameworks with sufficiently high water stabilities were synthesized by using Cr(Ⅲ)salts,which offer record working capacity of 0.90 and 1.10 g g^(-1)for indoor humidity control.

关键词： metal-organic frameworks water adsorption indoor humidity control water stability pore engineering

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Composition characterization and transformation mechanism of dissolved organic phosphorus in wastewater treatment using 31P NMR spectroscopy

引用

Frontiers of Environmental Science & Engineering 2024年第3期18卷 103-113页

作者： Yuting zhang Wei Shang SoonThiam Khu Xingcan Zheng Yongli Sun Pengfeng Li Miao Gu wen-an zhang Huanmei Ma National Engineering Research Center For Urban Water&Wastewater North China Municipal Engineering Design&Research Institute Co.Ltd.Tianjin 300381China School of Environment Science&Engineering Tianjin UniversityTianjin 300350China

The migration and transformation of phosphorus components in wastewater treatment plants(WWTPs)play a crucial role in the convergence and circulation of ***,the composition and variation of dissolved organic phosphorus(DOP)in WWTPs were unclear because of its complex nature,hindering its efficient *** this study,the DOP species and their transformation during the treatment process in WWTP were comprehensively ***,two enrichment methods were assessed for their effectiveness at facilitating wastewater analysis:lyophilization and aluminum salt *** salt precipitation was found to be better because its application allowed 31P nuclear magnetic resonance(31P NMR)spectroscopy to identify more species in the secondary effluent:orthophosphate(Ortho-P)(81.1%–89.3%of the dissolved total phosphorus),pyrophosphates(Pyro-P)(0%–2.3%),orthophosphate monoesters(Mono-P)(7.0%–10.77%),orthophosphate diesters(Di-P)(1.0%–2.96%),and phosphonate(Phos-P)(1.7%–5.16%).Furthermore,the variation and transformation mechanism of phosphorus,particularly those of DOP,during the entire sewage-treatment process were *** the treatment steps,biological treatment combined tertiary treatment achieved better DOP removal ***,biological treatment mainly removed Mono-P and Di-P with removal efficiencies of 33.3%and 41.7%compared with the effluent of the grit ***-P has higher bioavailability and is more easily converted and utilized by microorganisms than ***,Phos-P,with low bioavailability,was hardly utilized by microorganisms,which showed only 18.4%removal efficiency in biological *** tertiary treatment,coagulation process exhibited higher removal ability of Ortho-P(69.1%)and partial removal efficiencies of DOP,resulting in an increase in the DOP proportion in *** addition,Phos-P could not be effectively removed through the biological treatment and was only partially reduced via the adsorption pro

关键词： Municipal wastewater Dissolved organic phosphorus Composition Transformation 31P nuclear magnetic resonance

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Early diagnosis of esophageal cancer:How to put“early detection”into effect?

引用

World Journal of Gastrointestinal Oncology 2024年第8期16卷 3386-3392页

作者： Suolang Pubu Jun-wen zhang Jian Yang Department of Gastroenterology Changdu People’s Hospital of XizangChangdu 854000Tibet Autonomous RegionChina Department of Gastroenterology The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China

This editorial comments on the article by Qu et al in a recent edition of World Journal of Gastrointestinal Oncology,focusing on the importance of early diagnosis in managing esophageal cancer and strategies for achieving“early detection”.The five-year age-standardized net survival for esophageal cancer patients falls short of *** detection and accurate diagnosis are critical strategies for improving the treatment outcomes of esophageal *** advancements in endoscopic technology have been significant,there seems to be an excessive emphasis on the latest high-end endoscopic devices and various endoscopic resection ***,it is imperative to redirect focus towards proactive early detection strategies for esophageal cancer,investigate the most cost-effective screening methods suitable for different regions,and persistently explore practical solutions to improve the five-year survival rate of patients with esophageal cancer.

关键词： Esophageal cancer Early diagnosis Early detection Iodine staining Five-year survival rate

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A comprehensive review of molecular optimization in artificial intelligence-based drug discovery

引用

Quantitative Biology 2024年第1期12卷 15-29页

作者： Yuhang Xia Yongkang Wang Zhiwei Wang wen zhang School of Information Huazhong Agricultural UniversityWuhanChina

Drug discovery is aimed to design novel molecules with specific chemical properties for the treatment of targeting diseases. Generally, molecular optimization is one important step in drug discovery, which optimizes the physical and chemical properties of a molecule. Currently, artificial intelligence techniques have shown excellent success in drug discovery, which has emerged as a new strategy to address the challenges of drug design including molecular optimization, and drastically reduce the costs and time for drug discovery. We review the latest advances of molecular optimization in artificial intelligence-based drug discovery, including data resources, molecular properties, optimization methodologies, and assessment criteria for molecular optimization. Specifically, we classify the optimization methodologies into molecular mapping-based, molecular distribution matching-based, and guided search-based methods, respectively, and discuss the principles of these methods as well as their pros and cons. Moreover, we highlight the current challenges in molecular optimization and offer a variety of perspectives, including interpretability, multidimensional optimization, and model generalization, on potential new lines of research to pursue in future. This study provides a comprehensive review of molecular optimization in artificial intelligence-based drug discovery, which points out the challenges as well as the new prospects. This review will guide researchers who are interested in artificial intelligence molecular optimization.

关键词： artificial intelligence drug discovery molecular optimization

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Deep learning for drug-drug interaction prediction:A comprehensive review

引用

Quantitative Biology 2024年第1期12卷 30-52页

作者： Xinyue Li Zhankun Xiong wen zhang Shichao Liu College of Informatics Huazhong Agricultural UniversityWuhanChina

The prediction of drug-drug interactions(DDIs)is a crucial task for drug safety research,and identifying potential DDIs helps us to explore the mechanism behind combinatorial *** wet chemical experiments for DDI are cumbersome and time-consuming,and are too small in scale,limiting the efficiency of DDI ***,it is particularly crucial to develop improved computational methods for detecting drug *** the development of deep learning,several computational models based on deep learning have been proposed for DDI *** this review,we summarized the high-quality DDI prediction methods based on deep learning in recent years,and divided them into four categories:neural network-based methods,graph neural network-based methods,knowledge graph-based methods,and multimodal-based ***,we discuss the challenges of existing methods and future potential *** review reveals that deep learning can significantly improve DDI prediction performance compared to traditional machine *** learning models can scale to large-scale datasets and accept multiple data types as input,thus making DDI predictions more efficient and accurate.

关键词： deep learning drug-drug interactions graph neural network knowledge graph multimodal deep learning neural network

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Encoding and display technologies for combinatorial libraries in drug discovery:The coming of age from biology to therapy

引用

Acta Pharmaceutica Sinica B 2024年第8期14卷 3362-3384页

作者： Yu Fan Ruibing Feng Xinya zhang Zhen-Liang Wang Feng Xiong Shuihua zhang zhang-Feng Zhong Hua Yu Qing-wen zhang zhang zhang Yitao Wang Guodong Li Macao Centre for Research and Development in Chinese Medicine State Key Laboratory of Quality Research in Chinese MedicineInstitute of Chinese Medical SciencesUniversity of MacaoMacao SAR 999078China State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoMacao SAR 999078China International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development Ministry of Education(MoE)of People’s Republic of ChinaCollege of PharmacyJinan UniversityGuangzhou 510632China Zhuhai UM Science and Technology Research Institute Zhuhai 519031China Department of Pharmacy Guangzhou Red Cross HospitalFaculty of Medical ScienceJinan UniversityGuangzhou 510632China Geriatric Medicine First People’s Hospital of XinXiang and the Fifth Affiliated Hospital of Xinxiang Medical CollegeXinxiang 453100China Shenzhen Innovation Center for Small Molecule Drug Discovery Co. Ltd.Shenzhen 518000China

Drug discovery is a sophisticated process that incorporates scientific innovations and cuttingedge *** to traditional bioactivity-based screening methods,encoding and display technologies for combinatorial libraries have recently advanced from proof-of-principle experiments to promising tools for pharmaceutical hit discovery due to their high screening efficiency,throughput,and resource *** review systematically summarizes the development history,typology,and prospective applications of encoding and displayed technologies,including phage display,ribosomal display,mRNA display,yeast cell display,one-bead one-compound,DNA-encoded,peptide nucleic acidencoded,and new peptide-encoded technologies,and examples of preclinical and clinical *** discuss the progress of novel targeted therapeutic agents,covering a spectrum from small-molecule inhibitors and nonpeptidic macrocycles to linear,monocyclic,and bicyclic peptides,in addition to *** also address the pending challenges and future prospects of drug discovery,including the size of screening libraries,advantages and disadvantages of the technology,clinical translational potential,and market *** review is intended to establish a comprehensive high-throughput drug discovery strategy for scientific researchers and clinical drug developers.

关键词： Drug screening Phage display DNA-encoded chemical libraries Peptide-encoded chemical libraries Clinical drugs

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Bayesian network-based survival prediction model for patients having undergone post-transjugular intrahepatic portosystemic shunt for portal hypertension

引用

World Journal of Gastroenterology 2024年第13期30卷 1859-1870页

作者： Rong Chen Ling Luo Yun-Zhi zhang Zhen Liu An-Lin Liu Yi-wen zhang Department of Infectious Diseases Second Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China

BACKGROUND Portal hypertension(PHT),primarily induced by cirrhosis,manifests severe symptoms impacting patient *** transjugular intrahepatic portosystemic shunt(TIPS)is a critical intervention for managing PHT,it carries risks like hepatic encephalopathy,thus affecting patient survival *** our knowledge,existing prognostic models for post-TIPS survival in patients with PHT fail to account for the interplay among and collective impact of various prognostic factors on ***,the development of an innovative modeling approach is essential to address this *** To develop and validate a Bayesian network(BN)-based survival prediction model for patients with cirrhosis-induced PHT having undergone *** The clinical data of 393 patients with cirrhosis-induced PHT who underwent TIPS surgery at the Second Affiliated Hospital of Chongqing Medical University between January 2015 and May 2022 were retrospectively *** were selected using Cox and least absolute shrinkage and selection operator regression methods,and a BN-based model was established and evaluated to predict survival in patients having undergone TIPS surgery for *** Variable selection revealed the following as key factors impacting survival:age,ascites,hypertension,indications for TIPS,postoperative portal vein pressure(post-PVP),aspartate aminotransferase,alkaline phosphatase,total bilirubin,prealbumin,the Child-Pugh grade,and the model for end-stage liver disease(MELD)*** on the above-mentioned variables,a BN-based 2-year survival prognostic prediction model was constructed,which identified the following factors to be directly linked to the survival time:age,ascites,indications for TIPS,concurrent hypertension,post-PVP,the Child-Pugh grade,and the MELD *** Bayesian information criterion was 3589.04,and 10-fold cross-validation indicated an average log-likelihood loss of 5.55 with a standard deviation of *** model’s acc

关键词： Bayesian network Cirrhosis Portal hypertension Transjugular intrahepatic portosystemic shunt Survival prediction model

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method

引用

World Journal of Gastrointestinal Oncology 2024年第10期16卷 4146-4156页

作者： Huai-wen zhang You-Hua Wang Bo Hu Hao-wen Pang Department of Radiotherapy Jiangxi Cancer HospitalNanchang 330029Jiangxi ProvinceChina Department of Oncology Gulin People’s HospitalLuzhou 646500Sichuan ProvinceChina Key Laboratory of Nondestructive Testing(Ministry of Education) Nanchang Hang Kong UniversityNanchang 330063Jiangxi ProvinceChina Department of Oncology The Affiliated Hospital of Southwest Medical UniversityLuzhou 646000Sichuan ProvinceChina

BACKGROUND The quality of a radiotherapy plan often depends on the knowledge and expertise of the plan *** To predict the uninvolved liver dose in stereotactic body radiotherapy(SBRT)for liver cancer using a neural network-based *** A total of 114 SBRT plans for liver cancer were used to test the neural network ***-organs of the uninvolved liver were automatically *** between the volume of each sub-organ,uninvolved liver dose,and neural network prediction model were established using *** the cases,70%were selected as the training set,15%as the validation set,and 15%as the test *** regression R-value and mean square error(MSE)were used to evaluate the *** The volume of the uninvolved liver was related to the volume of the corresponding *** all sets of Rvalues of the prediction model,except for D_(n0)which was 0.7513,all R-values of D_(n10)-D_(n100)and D_(nmean)were>*** MSE of the prediction model was also *** We developed a neural network-based method to predict the uninvolved liver dose in SBRT for liver *** is simple and easy to use and warrants further promotion and application.

关键词： Dose prediction Sub-organ Machine learning Stereotactic body radiotherapy Liver cancer

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Organoid co-culture models of the tumor microenvironment promote precision medicine

引用

Cancer Innovation 2024年第1期3卷 79-103页

作者： Zhaoru Gu Quanyou Wu Bingqing Shang Kaitai zhang wen zhang State Key Laboratory of Molecular Oncology Department of Etiology and CarcinogenesisNational Cancer CenterNational Clinical Research Center for CancerCancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Urology National Cancer CenterNational Clinical Research Center for CancerCancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Immunology National Cancer CenterNational Clinical Research Center for CancerCancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina

In recent years,the three-dimensional(3D)culture system has emerged as a promising preclinical model for tumor research owing to its ability to replicate the tissue structure and molecular characteristics of solid tumors in *** system offers several advantages,including high throughput,efficiency,and retention of tumor *** Matrigel-submerged organoid cultures primarily support the long-term proliferation of epithelial *** solution for the exploration of the tumor microenvironment is a reconstitution approach involving the introduction of exogenous cell types,either in dual,triple or even multiple *** solution is a holistic approach including patient-derived tumor fragments,air-liquid interface,suspension 3D culture,and microfluidic tumor-on-chip *** co-culture models have also gained popularity for studying the tumor microenvironment,evaluating tumor immunotherapy,identifying predictive biomarkers,screening for effective drugs,and modeling *** leveraging these 3D culture systems,it is hoped to advance the clinical application of therapeutic approaches and improve patient outcomes.

关键词： air-liquid interface immunotherapy organoid tumor microenvironment tumor-on-chip

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：