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A multimodal integration pipeline for accurate diagnosis, pathogen identification, and prognosis prediction of pulmonary infections

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The Innovation 2024年第4期5卷 63-73,62页

作者： jun shao Jiechao Ma Yizhou Yu Shu Zhang Wenyang Wang Weimin Li Chengdi Wang Department of Pulmonary and Critical Care Medicine State Key Laboratory of Respiratory Health and MultimorbidityWest China HospitalWest China School of MedicineSichuan UniversityChengdu 610041China Targeted Tracer Research and Development Laboratory Institute of Respiratory HealthFrontiers Science Center for Disease-related Molecular NetworkWest China HospitalSichuan UniversityChengdu 610213China Frontiers Medical Center Tianfu Jincheng LaboratoryChengdu 610213China AI Lab Deepwise HealthcareBeijing 100080China Department of Computer Science The University of Hong KongHong Kong SARChina

Pulmonary infections pose formidable challenges in clinical settings with high mortality rates across all age groups *** diagnosis and early intervention are crucial to improve patient *** intelligence(AI)has the capability to mine imaging features specific to different pathogens and fuse multimodal features to reach a synergistic diagnosis,enabling more precise investigation and individualized clinical *** this study,we successfully developed a multimodal integration(MMI)pipeline to differentiate among bacterial,fungal,and viral pneumonia and pulmonary tuberculosis based on a real-world dataset of 24,107 *** area under the curve(AUC)of the MMI system comprising clinical text and computed tomography(CT)image scans yielded 0.910(95%confidence interval[CI]:0.904–0.916)and 0.887(95%CI:0.867–0.909)in the internal and external testing datasets respectively,which were comparable to those of experienced ***,the MMI system was utilized to rapidly differentiate between viral subtypes with a mean AUC of 0.822(95%CI:0.805–0.837)and bacterial subtypes with a mean AUC of 0.803(95%CI:0.775–0.830).Here,the MMI system harbors the potential to guide tailored medication recommendations,thus mitigating the risk of antibiotic ***,the integration of multimodal factors in the AI-driven system also provided an evident advantage in predicting risks of developing critical illness,contributing to more informed clinical *** revolutionize medical care,embracing multimodal AI tools in pulmonary infections will pave the way to further facilitate early intervention and precise management in the foreseeable future.

关键词： diagnosis modal integration

Effect of coordination structure of aluminum on its activation from minerals and Oxisols during their acidification

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Pedosphere 2024年第5期34卷 916-928页

作者： Kewei LI Yangxiaoxiao SHI Jackson Nkoh NKOH jun JIANG Renkou xu State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences University of Chinese Academy of Sciences

The types and contents of phyllosilicate minerals in soils play an important role in soil acidification,as soil acid buffering capacity varies with the composition of the phyllosilicate *** addition to aluminum-oxygen （Al-O） octahedrons,a certain number of Al-O tetrahedrons exist in phyllosilicate minerals due to the isomorphic substitution of silicon ion (Si4+) by aluminum ion (Al3+) in Si-O tetrahedrons of ***,the effect of the two coordination structures of Al on the release of Al during mineral acidification has not yet been ***,the differences in Al activation in phyllosilicate minerals and soils with different Al coordination structures were investigated through constant-p H experiments and27Al magic-angle spinning nuclear magnetic resonance （MAS-NMR） *** results of27Al MAS-NMR spectra showed that kaolinite contained Al-O octahedrons,phlogopite and illite contained Al-O tetrahedrons,and vermiculite composite contained both octahedral and tetrahedral *** p Hvermiculite composite>phlogopite>kaolinite,which was consistent with the orders of cation exchange capacity and content of tetrahedral Al of the *** to the rate constants,the Al release rates were in the order of phlogopite>illite>vermiculite composite>kaolinite at p H *** for phlogopite,the Al release rates in these minerals increased with decreasing suspension p ***,the Al release contents and rates were greater in phlogopite,illite,and vermiculite composite containing Al-O tetrahedrons than in kaolinite containing only Al-O *** Oxisols derived from basalt with different ages were selected for similar ***27Al MAS-NMR spectra of the Oxisols showed that the 0.01-million-year （Ma） Oxisol contained both octahedral and tetrahedral Al,while the 1.33-Ma Oxisol contained only Al-O *** contents of b

关键词： Al-O octahedrons Al-O tetrahedrons aluminum release exchangeable Al phyllosilicate minerals soil acidification

Automated federated learning‐based adversarial attack and defence in industrial control systems

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IET Cyber-Systems and Robotics 2024年第2期6卷 109-127页

作者： Guo-Qiang Zeng jun-Min shao Kang-Di Lu Guang-Gang Geng Jian Weng College of Cyber Security Jinan UniversityGuangzhouChina National Joint Engineering Research Center of Network Security Detection and Protection Technology Jinan UniversityGuangzhouChina College of Information Science and Technology Donghua UniversityShanghaiChina

With the development of deep learning and federated learning(FL),federated intrusion detection systems(IDSs)based on deep learning have played a significant role in securing industrial control systems(ICSs).However,adversarial attacks on ICSs may compromise the ability of deep learning-based IDSs to accurately detect cyberattacks,leading to serious ***,in the process of generating adversarial samples,the selection of replacement models lacks an effective method,which may not fully expose the vulnerabilities of the *** authors first propose an automated FL-based method to generate adversarial samples in ICSs,called AFL-GAS,which uses the prin-ciple of transfer attack and fully considers the importance of replacement models during the process of adversarial sample *** the proposed AFL-GAS method,a lightweight neural architecture search method is developed to find the optimised replacement model composed of a combination of four lightweight basic ***,to enhance the adversarial robustness,the authors propose a multi-objective neural archi-tecture search-based IDS method against adversarial attacks in ICSs,called MoNAS-IDSAA,by considering both classification performance on regular samples and adver-sarial robustness *** experimental results on three widely used intrusion detection datasets in ICSs,such as secure water treatment(SWaT),Water Distribution,and Power System Attack,demonstrate that the proposed AFL-GAS method has obvious advantages in evasion rate and lightweight compared with other four ***,the proposed MoNAS-IDSAA method not only has a better classification performance,but also has obvious advantages in model adversarial robustness compared with one manually designed federated adversarial learning-based IDS method.

关键词： adversarial attacks adversarial robustness automated federated learning Industrial control system intrusion

Microvascular alterations of the ocular surface and retina in connective tissue disease-related interstitial lung disease

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International Journal of Ophthalmology(English edition) 2024年第10期17卷 1869-1879页

作者： Li-Ming Chen Min Kang jun-Yi Wang San-Hua xu Cheng Chen Hong Wei Qian Ling Liang-Qi He Jie Zou Yi-Xin Wang xu Chen Ping Ying Hui Huang Yi shao Rui Wu Department of Rheumatology the First Affiliated Hospital of Nanchang UniversityNanchang 330006Jiangxi ProvinceChina Department of Ophthalmology the First Affiliated Hospital of Nanchang UniversityNanchang 330006Jiangxi ProvinceChina The First School of Clinical Medicine of Nanchang University Jiangxi Medical College of Nanchang UniversityNanchang 330000Jiangxi ProvinceChina School of Optometry and Vision Science Cardiff UniversityCardiffCF244HQWalesUK Ophthalmology Centre of Maastricht University Maastricht 6200MSLimburg ProvincieNetherlands Department of Ophthalmology Eye&ENT Hospital of Fudan UniversityShanghai 200030China

AIM:To examine the disparities in macular retinal vascular density between individuals with connective tissue disease-related interstitial lung disease(CTD-ILD)and healthy controls(HCs)by optical coherence tomography angiography(OCTA)and to investigate the changes in microvascular density in abnormal ***:For a retrospective case-control study,a total of 16 patients(32 eyes)diagnosed with CTD-ILD were selected as the ILD *** 16 healthy volunteers with 32 eyes,matched in terms of age and sex with the patients,were recruited as control *** macular retina’s superficial retinal layer(SRL)and deep retinal layer(DRL)were examined and scanned using OCTA in each individual *** densities of retinal microvascular(MIR),macrovascular(MAR),and total microvascular(TMI)were calculated and *** in retinal vascular density in the macular region were analyzed using three different segmentation methods:central annuli segmentation method(C1-C6),hemispheric segmentation method[uperior right(SR),superior left(SL),inferior left(IL),and inferior right(IR)],and Early Treatment Diabetic Retinopathy Study(ETDRS)methods[superior(S),inferior(I),left(L),and right(R)].The data were analyzed using Version 9.0 of GraphPad prism and Pearson ***:The OCTA data demonstrated a statistically significant difference(P<0.05)in macular retinal microvessel density between the two ***,in the SRL and DRL analyses,the ILD group exhibited significantly lower surface density of MIR and TMI compared to the HCs group(P<0.05).Furthermore,using the hemispheric segmentation method,the ILD group showed notable reductions in SL,SR,and IL in the superficial retina(P<0.05),as well as marked decreases in SL and IR in the deep retina(P<0.05).Similarly,when employing the ETDRS method,the ILD group displayed substantial drops in superficial retinal S and I(P<0.05),along with notable reductions in deep retinal L,I,and R(P<0.05).In the central annuli segmentation m

关键词： connective tissue disease‑related interstitial lung disease optical coherence tomography angiography microvessel density ocular surface retina

Inertinite in coal and its geoenvironmental significance:Insights from AI and big data analysis

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Science China Earth Sciences 2024年第6期67卷 1779-1801页

作者： Longyi shao Jiamin ZHOU Timothy PJONES Fanghui HUA Xiaotao xu Zhiming YAN Haihai HOU Dongdong WANG Jing LU State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources and College of Geoscience and Surveying Engineering China University of Miningand Technology(Beijing)Beijing 100083China School of Earth and Environmental Sciences Cardiff UniversityCardiff CF103YEWalesEngland General Prospecting Institute of China National Administration of Coal Geology Beijing 100039China Institute of Architectural Engineering Weifang UniversityWeifang 261061China College of Mining Liaoning Technical UniversityFuxin 123000China College of Earth Science and Engineering Shandong University of Science and TechnologyQingdao 266590China

Inertinite,as an important and abundant maceral group in coal,is critical for the study of palaeowildfires and their roles in the Earth’s ***,there has been a significant amount of research on the relationship between palaeowildfire,palaeoclimate change and palaeovegetation evolution based on inertinite *** reflectance of fusinite and semifusinite has been used to estimate the combustion temperature and type of palaeowildfires,and then to evaluate the combustion characteristics of different types of *** relative abundance of inertinite can be used to estimate the atmospheric oxygen *** rapid development of artificial intelligence(AI)and online tools to search scientific databases has presented an opportunity for us to find,collect,arrange,and analyse data from the earliest to latest publications on *** data extraction tool Deep Shovel is used to collect and analyse global inertinite data from the Silurian to the *** software programs such as Gplates,ArcGIS pro and Tableau are then applied to model the relative abundance of inertinite over geological time,which can be correlated with other parameters such as atmospheric oxygen contents,plant evolution and palaeoclimate *** distribution of inertinite in coals varied over different geological periods,being typified by the“high inertinite content-high atmospheric oxygen level”period in the Permian and the“low inertinite content-low atmospheric oxygen level”period in the *** study has proposed a possible model of the positive and negative feedbacks between inertinite characteristics and palaeoenvironmental factors,and has revealed the exceptional role of inertinite in palaeoenvironmental *** research on inertinite will be focused on the integrated study of organic petrology and organic geochemistry of inertinite,the big data-driven research on the temporal and spatial distribution of the global inertinite,the exploration of the

关键词： Inertinite Palaeowildfires Atmospheric oxygen Palaeoclimates Palaeoecosystems

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Analysis of risk factors of suicidal ideation in adolescent patients with depression and construction of prediction model

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World Journal of Psychiatry 2024年第3期14卷 388-397页

作者： jun-Chao Zhou Yan Cao xu-Yuan xu Zhen-Ping Xian Department of Psychosomatic Medicine The Affiliated Lianyungang Hospital of Xuzhou Medical UniversityThe First People's Hospital of LianyungangLianyungang 222000Jiangsu ProvinceChina

BACKGROUND Major depressive disorder is a common mental illness among adolescents and is the largest disease burden in this age *** adolescent patients with depression have suicidal ideation(SI);however,few studies have focused on the factors related to SI,and effective predictive models are *** To construct a risk prediction model for SI in adolescent depression and provide a reference assessment tool for *** The data of 150 adolescent patients with depression at the First People's Hospital of Lianyungang from june 2020 to December 2022 were retrospectively *** on whether or not they had SI,they were divided into a SI group(n=91)and a non-SI group(n=59).The general data and laboratory indices of the two groups were *** regression was used to analyze the factors influencing SI in adolescent patients with depression,a nomogram prediction model was constructed based on the analysis results,and internal evaluation was *** operating characteristic and calibration curves were used to evaluate the model’s efficacy,and the clinical application value was evaluated using decision curve analysis(DCA).RESULTS There were differences in trauma history,triggers,serum ferritin levels(SF),highsensitivity C-reactive protein levels(hs-CRP),and high-density lipoprotein(HDLC)levels between the two groups(P<0.05).Logistic regression analysis showed that trauma history,predisposing factors,SF,hs-CRP,and HDL-C were factors influencing SI in adolescent patients with *** area under the curve of the nomogram prediction model was 0.831(95%CI:0.763–0.899),sensitivity was 0.912,and specificity was *** higher net benefit of the DCA and the average absolute error of the calibration curve were 0.043,indicating that the model had a good *** The nomogram prediction model based on trauma history,triggers,ferritin,serum hs-CRP,and HDL-C levels can effectively predict the risk of SI in adolescent patients

关键词： Adolescents Depression Suicidal ideation Risk factors Prediction model Ferritin

Thiosulfate oxidation and autotrophy potential by marine prevalent heterotrophic bacteria of genus Marinobacter

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Acta Oceanologica Sinica 2024年第8期43卷 89-97页

作者： Fei xu Xiang Zeng Yadong Gong Zongze shao School of Fisheries and Life Shanghai Ocean UniversityShanghai 201306China Key Laboratory of Marine Biogenetic Resources Third Institute of OceanographyMinistry of Natural ResourcesXiamen 361005China Faculty of Marine Biology Xiamen Ocean Vocational CollegeXiamen 361100China

The genus Marinobacter is very broadly distributed in global environments and is considered as aerobic *** this study,six Marinobacter strains were identified with autotrophic thiosulfate oxidation *** strains,namely Marinobacter guineae M3B^(T),Marinobacter aromaticivorans D15-8PT,Marinobacter vulgaris F01^(T),Marinobacter profundi PWS21^(T),Marinobacter denitrificans JB02H27T,and Marinobacter ***-1M(with a 99.93%similarity to the 16S rDNA sequences of Marinobacter salsuginis SD-14B^(T)),were screened out of 32 Marinobacter strains by autotrophic thiosulfate oxidization *** population of cells grew in a chemolithotrophic medium,increasing from 105 cells/mL to 10^(7) cells/mL within 5 *** growth was accompanied by the consumption of thiosulfate 3.59 mmol/L to 9.64 mmol/L and the accumulation of sulfate up to 0.96 mmol/L,and occasionally produced sulfur containing complex *** these Marinobacter strains,it was also found their capability of oxidizing thiosulfate to sulfate in a heterotrophic ***,*** F01^(T)and *** ZS2-30^(T)showed highly significant production of sulfate at 9.45 mmol/L and 3.10 mmol/*** annotation indicated that these Marinobacter strains possess a complete Sox cluster for thiosulfate *** phylogenetic analysis of the soxB gene revealed that six Marinobacter strains formed a separate lineage within Gammaproteobacteria and close to obligate chemolithoautotroph Thiomicrorhabdus *** results indicated that thiosulfate oxidizing and chemolithoautotrophic potential in Marinobacter genus,which may contribute to the widespread of Marinobacter in the global ocean.

关键词： Marinobacter thiosulfate oxidation autotrophic mixotroph

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Span-based joint entity and relation extraction augmented with sequence tagging mechanism

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Science China(Information Sciences) 2024年第5期67卷 84-98页

作者： Bin JI Shasha LI Hao xu Jie YU jun MA Huijun LIU Jing YANG College of Computer National University of Defense Technology

Span-based joint extraction simultaneously conducts named entity recognition(NER) and relation extraction(RE) in a text span form. However, since previous span-based models rely on span-level classifications, they cannot benefit from token-level label information, which has been proven advantageous for the task. In this paper, we propose a sequence tagging augmented span-based network(STSN), a spanbased joint model that can make use of token-level label information. In STSN, we construct a core neural architecture by deep stacking multiple attention layers, each of which consists of three basic attention *** the one hand, the core architecture enables our model to learn token-level label information via the sequence tagging mechanism and then uses the information in the span-based joint extraction; on the other hand, it establishes a bi-directional information interaction between NER and RE. Experimental results on three benchmark datasets show that STSN consistently outperforms the strongest baselines in terms of F1,creating new state-of-the-art results.

关键词： joint extraction named entity recognition relation extraction span sequence tagging mechanism

Sustainable, thermoplastic and hydrophobic coating from natural cellulose and cinnamon to fabricate eco-friendly catering packaging

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Green Energy & Environment 2024年第5期9卷 927-936页

作者： Rumeng xu Chunchun Yin Jingxuan You Jinming Zhang Qinyong Mi Jin Wu jun Zhang CAS Key Laboratory of Engineering Plastics Institute of ChemistryChinese Academy of Sciences(CAS)Beijing100190China University of Chinese Academy of Sciences Beijing100049China

Non-degradable polymers cause serious environmental pollution problem,such as the widely-used while unrecyclable coatings which signiﬁcantly affect the overall degradation performance of *** is imperative and attractive to develop biodegradable functional ***,we proposed a novel strategy to successfully prepare biodegradable,thermoplastic and hydrophobic coatings with high transparence and biosafety by weakening the interchain interactions between cellulose *** natural cellulose and cinnamic acid were as raw *** reducing the degree of polymerization(DP)of cellulose and regulating the degree of substitution(DS)of cinnamate moiety,the obtained cellulose cinnamate(CC)exhibited not only the thermalﬂow behavior but also good biodegradability,which solves the conﬂict between the thermoplasticity and biodegradability in cellulose-based *** glass transition temperature(T_(g))and thermalﬂow temperature(T_(f))of the CC could be adjusted in a range of 150–200℃ and 180–210℃,*** CC with DS<1.2 and DP≤100 degraded more than 60%after an enzyme treatment for 7 days,and degraded more than 80%after a composting treatment for 42 ***,CC had no toxicity to human epidermal cells even at a high concentration(0.5 mg mL^(-1)).In addition,CC could be easily fabricated into multifunctional coating with high hydrophobicity,thermal adhesion and high ***,after combining with cellophane and paperboard,CC coating with low DP and DS could be used to prepare fully-biodegradable heat-sealing packaging,art paper,paper cups,paper straws and food packaging boxes.

关键词： Thermoplastic coating Bio-degradable adhesive Natural products Cellulose Eco-friendly packaging

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