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Science China(Technological Sciences) 2024年第5期67卷 1391-1400页

作者： HU JiaJun QIAN Shuo WU Hui HU DongXu NIU LiXin BI XiaoXue ZHANG Jie HOU XiaoJuan GENG WenPing MU JiLiang HE Jian CHOU XiuJian Science and Technology on Electronic Test and Measurement laboratory North University of ChinaTaiyuan030051China School of Software North University of ChinaTaiyuan030051China

In our daily lives,low-frequency kinetic energy primarily manifests as ***,effective harnessing of lowfrequency kinetic energy remains a formidable *** paper proposes a rope-driven rotor that rotates around an axis and consists of an ultra-high-molecular-weight polyethylene(UHMWPE)wire wrapped around a metal *** rotor can convert ultra-low frequency vibration/linear motion into rapid rotation by pressing the top at low frequencies and driving the rope for a quick *** harvester can generate up to 36.25 m W power using a 0.1-mm-diameter UHMWPE wire as the rotor when periodically pressed down to 20 mm at a frequency of 1 Hz.A simple power generation floor is assembled,generating 28.58-m W power with a matching load at a frequency of 1.5 ***,the harvester can increase the charging voltage of a 0.47-F supercapacitor from 0 to 6.8 V within 10 *** addition,the harvester can harvest energy through a light finger press motion,and the energy obtained can also support the continuous operation of multiple electronic devices *** study introduces an effective method for harvesting ultra-low frequency energy and has great prospects in the field of power generation floor and human movement energy harvesting.

关键词： electromagnetic energy harvester rope-shaft coupling structure human motion ultra-low frequency

Ensemble Wind Power Prediction Interval with Optimal Reserve Requirement

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 65-76页

作者： Hamid Rezaie Cheuk Hei Chung Nima Safari the Saskatchewan Power Corporation(SaskPower) ReginaSaskatchewanCanada the Department of Electrical and Computer Engineering and Department of human Biology University of TorontoTorontoON M5S 3G4Canada the Alberta Electric System Operator(AESO) CalgaryAlbertaCanada

Wind power prediction interval(WPPI)models in the literature have predominantly been developed for and tested on specific case ***,wind behavior and characteristics can vary significantly across ***,a prediction model that performs well in one case might underperform in *** address this shortcoming,this paper proposes an ensemble WPPI framework that integrates multiple WPPI models with distinct characteristics to improve *** important and often overlooked factor is the role of probabilistic wind power prediction(WPP)in quantifying wind power uncertainty,which should be handled by operating *** reserve in WPPI frameworks enhances the efficacy of *** this regard,the proposed framework employs a novel bi-layer optimization approach that takes both WPPI quality and reserve requirements into *** analysis with different real-world datasets and various benchmark models validates the quality of the obtained WPPIs while resulting in more optimal reserve requirements.

关键词： Ensemble model linear programming operating reserve optimal reserve requirement prediction interval probabilistic prediction renewable integration uncertainty representation wind power prediction(WPP)

Establishment of a Multiplex Detection Method for Common Bacteria in Blood Based on human Mannan-Binding Lectin Protein-Conjugated Magnetic Bead Enrichment Combined with Recombinase-Aided PCR Technology

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Biomedical and Environmental Sciences 2024年第4期37卷 387-398页

作者： ZHAO Zi Jin CHEN Xiao Ping HUA Shao Wei LI Feng Yu ZHAO Meng XING Chen Hao WANG Jie TIAN Feng Yu ZHANG Rui Qing LYU Xiao Na HAN Zhi Qiang WANG Yu Xin LI Hong Yi SHEN Xin Xin MA Xue Jun TIE Yan Qing Graduate School Hebei North UniversityZhangjiakou 075000HebeiChina Department of Clinical laboratory Hebei General HospitalShijiazhuang 050051HebeiChina National Key laboratory of Intelligent Tracking and Forecasting for Infectious Diseases NHC Key Laboratory of Medical Virology and Viral DiseasesNational Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China National Institute for Communicable Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijing 102206China Department of Clinical laboratory Pathology Diagnostic Center Shiyan General HospitalShiyan 442000HubeiChina Graduate School Hebei Medical University Shijiazhuang 050031HebeiChina

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification *** study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannanbinding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with *** Recombinant plasmids were used to evaluate the assay *** blood influenza bacteria were used for the specific *** and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)*** analysis was used to evaluate the consistency between the two *** The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial *** M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05).Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

关键词： Staphylococcus aureus Pseudomonas aeruginosa Acinetobacter baumannii human Mannan-binding lectin protein Bloodstream infection Recombinase-aided PCR assay Multiple detection

RSPSSL:A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization

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Light(Science & Applications) 2024年第2期13卷 366-386页

作者： Jiaqi Hu Gina Jinna Chen Chenlong Xue Pei Liang Yanqun Xiang Chuanlun Zhang Xiaokeng Chi Guoying Liu Yanfang Ye Dongyu Cui De Zhang Xiaojun yu Hong Dang Wen Zhang Junfan Chen Quan Tang Penglai Guo Ho-Pui Ho Yuchao Li Longqing Cong Perry Ping Shum State Key laboratory of Optical Fiber and Cable Manufacture Technology Guangdong Key Laboratory of Integrated Optoelectronics IntellisenseDepartment of EEESouthern University of Science and TechnologyShenzhen 518055China College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Department of Nasopharyngeal Carcinoma Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangzhou 510060China Department of Ocean Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Nephrology Chaozhou People’s HospitalChaozhou 521011China Clinical Research Design Division Sun Yatsen Memorial HospitalGuangzhouGuangdong 510120China School of Automation Northwestern Polytechnical UniversityXi’anShaanxi 710072China Department of Biomedical Engineering The Chinese University of Hong KongHong KongChina Guangdong Provincial Key laboratory of Nanophotonic Manipulation Institute of NanophotonicsJinan UniversityGuangzhou 511443China

Raman spectroscopy has tremendous potential for material analysis with its molecular fingerprinting capability in many branches of science and *** is also an emerging omics technique for metabolic profiling to shape precision ***,precisely attributing vibration peaks coupled with specific environmental,instrumental,and specimen noise is *** Raman spectral preprocessing to remove statistical bias noise and sample-related errors should provide a powerful tool for valuable information ***,we propose a novel Raman spectral preprocessing scheme based on self-supervised learning(RSPSSL)with high capacity and spectral *** can preprocess arbitrary Raman spectra without further training at a speed of~1900 spectra per second without human *** experimental data preprocessing trial demonstrated its excellent capacity and signal fidelity with an 88%reduction in root mean square error and a 60%reduction in infinite norm(L__(∞))compared to established *** this advantage,it remarkably enhanced various biomedical applications with a 400%accuracy elevation(ΔAUC)in cancer diagnosis,an average 38%(few-shot)and 242%accuracy improvement in paraquat concentration prediction,and unsealed the chemical resolution of biomedical hyperspectral images,especially in the spectral fingerprint *** precisely preprocessed various Raman spectra from different spectroscopy devices,laboratories,and diverse *** scheme will enable biomedical mechanism screening with the label-free volumetric molecular imaging tool on organism and disease metabolomics profiling with a scenario of high throughput,cross-device,various analyte complexity,and diverse applications.

关键词： spectral scheme resolution

Association of copy number variation in X chromosome-linked PNPLA4 with heterotaxy and congenital heart disease

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中华医学杂志(英文版) 2024年第15期137卷 2024 Jul 8页

作者： Gao Han Huang Xianghui Chen Weicheng Feng Zhiyu Zhao Zhengshan Li Ping Tan Chaozhong Wang Jinxin Zhuang Quannan Gao Yuan Min Shaojie Yao Qinyu Qian Maoxiang Ma Xiaojing Wu Feizhen Yan Weili Sheng Wei Huang Guoying Children’s Hospital of Fudan University Shanghai China Shanghai Key laboratory of Birth Defects Shanghai China Fujian Key laboratory of Neonatal Diseases Xiamen Children’s Hospital Xiamen Fujian China Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases Chinese Academy of Medical Sciences Shanghai China

Background: Heterotaxy (HTX) is a thoracoabdominal organ anomaly syndrome and commonly accompanied by congenital heart disease (CHD). The aim of this study was to analyze rare copy number variations (CNVs) in a HTX/CHD cohort and to examine the potential mechanisms contributing to HTX/***: Chromosome microarray analysis was used to identify rare CNVs in a cohort of 120 unrelated HTX/CHD patients, and available samples from parents were used to confirm the inheritance pattern. Potential candidate genes in CNVs region were prioritized via the DECIPHER database, andPNPLA4 was identified as the leading candidate gene. To validate, we generatedPNPLA4-overexpressing human induced pluripotent stem cell lines as well aspnpla4-overexpressing zebrafish model, followed by a series of transcriptomic, biochemical and cellular ***: Seventeen rare CNVs were identified in 15 of the 120 HTX/CHD patients (12.5%). Xp22.31 duplication was one of the inherited CNVs identified in this HTX/CHD cohort, andPNPLA4 in the Xp22.31 was a candidate gene associated with HTX/***4 is expressed in the lateral plate mesoderm, which is known to be critical for left/right embryonic patterning as well as cardiomyocyte differentiation, and in the neural crest cell lineage. Through a series ofin vivo andin vitro analyses at the molecular and cellular levels, we revealed that the biological function ofPNPLA4 is importantly involved in the primary cilia formation and function via its regulation of energy metabolism and mitochondria-mediated ATP ***: Our findings demonstrated a significant association between CNVs and HTX/CHD. Our data strongly suggested that an increased genetic dose ofPNPLA4 due to Xp22.31 duplication is a disease-causing risk factor for HTX/CHD.

关键词： PNPLA4 Copy number variations X-chromosome Heterotaxy Congenital heart diseases

Sensitive humidity sensor based on moisture-driven energy generation

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Nano Research 2024年第6期17卷 5578-5586页

作者： Qingchao Ni Qing Lou Chenglong Shen Guangsong Zheng Runwei Song Jingnan Hao Jialu Liu Jinyang Zhu Jinhao Zang Lin Dong Chong-Xin Shan Henan Key laboratory of Diamond Optoelectronic Materials and Devices Key Laboratory of Materials PhysicsMinistry of Educationand School of Physics and MicroelectronicsZhengzhou UniversityZhengzhou 450052China State Centre for International Cooperation on Designer Low-Carbon&Environmental Materials and School of Materials Science and EngineeringZhengzhou UniversityZhengzhou 450001China

The emergence of novel self-powered humidity sensors has attracted considerable attention in the fields of smart electronic devices and personal ***,self-powered humidity sensors have been fabricated using a moisture-driven energy generation(MEG)device based on asymmetric tubular graphitic carbon nitride(g-CN)films prepared on anodized aluminum(AAO)*** a relative humidity(RH)of 96%,the MEG device can provide an open-circuit voltage of 0.47 V and a short-circuit current of 3.51μA,with a maximum output power of 0.08μ*** inherent self-powered ability and humidity response via current variation,an extraordinary response of 1.78×106%(41%-96%RH)can be gained from the MEG *** possible power generation mechanism is that g-CN/AAO heterostructure can form ion gradient and diffusion under the action of moisture to convert chemical potential into electrical potential,evoking a connaturally sensitive response to ***-powered respiration monitoring device based on the sensor is designed to monitor human movement(sitting,warming up,and running)and sleep status(normal,snoring,and apnea),maintaining excellent stability during cumulative 12-h respiration *** self-powered humidity sensing technology has promising potential for extensive integration into smart electronic and round-the-clock health monitoring devices.

关键词： graphitic carbon nitride moisture-driven energy generation humidity sensor respiration monitoring

Preparation,characterization and antioxidant activity analysis of three Maillard glycosylated bone collagen hydrolysates from chicken,porcine and bovine

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Food Science and human Wellness 2024年第4期13卷 2002-2013页

作者： Liwei Qi Hongru Zhang Yujie Guo Hong Liu Chunhui Zhang Key laboratory of Agro-Products Processing Ministry of Agriculture and Rural AffairsInstitute of Food Science and TechnologyChinese Academy of Agricultural SciencesBeijing 100193China laboratory of Biomass and Green Technologies University of Liege-Gembloux Agro-Bio TechPassage des déportés 2Gembloux B-5030Belgium

Bone collagen hydrolysates(peptides)derived from byproduct of animal product processing have been used to produce commercially valuable products due to their potential antioxidant *** glycosylated reaction is considered as a promising method to enhance the antioxidant activity of ***,this research aims at investigating the Maillard glycosylation activity and antioxidant activity of bone collagen hydrolysates from different *** this study,3 glycosylated bone collagen hydrolysates were prepared and characterized,and cytotoxicity and antioxidant activity were analyzed and *** free amino groups loss,browning intensity,and fluorescence intensity of G-Cbcp(glycosylated chicken bone collagen hydrolysates(peptides))were the heaviest,followed by G-Pbcp(glycosylated porcine bone collagen hydrolysates(peptides))and G-Bbcp(glycosylated bovine bone collagen hydrolysates(peptides)).The results of amino acid analysis showed that amino acid composition of different bone collagen hydrolysates was significantly different and the amino acid decreased to different degrees after Maillard glycosylated reaction,which may lead to differences in Maillard glycosylated reaction ***,the 3 glycosylated hydrolysates showed no significant *** results showed that glycosylation process significantly increased the antioxidant activity of bone collagen hydrolysates,and G-Cbcp showed the strongest antioxidant activity,followed by G-Pbcp and ***,compared with the bone collagen hydrolysates,3 glycosylated hydrolysates showed significant characteristic and structural changes,and higher antioxidant activity.

关键词： Bone collagen hydrolysates Glycosylation reaction Antioxidant activity

Nitrosamines crisis in pharmaceuticals Insights on toxicological implications, root causes and risk assessment: A systematic review

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Journal of Pharmaceutical analysis 2024年第5期14卷 639-652页

作者： Hemanth P.R.Vikram Tegginamath Pramod Kumar Gunjan Kumar Narasimha M.Beeraka Rajashree Deka Sheik Mohammed Suhail Sandeep Jat Namitha Bannimath Gayatiri Padmanabhan Ravandur S.Chandan Pramod Kumar Bannimath Gurupadayya Department of Pharmaceutical Chemistry JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Xenone Healthcare Pvt.Ltd. New Delhi110076India Department of Pharmaceutics JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Department of human Anatomy I.M.Sechenov First Moscow State Medical University(Sechenov University)Moscow119991Russian Federation Department of Pharmacology Raghavendra Institute of Pharmaceutical Education and Research(RIPER)Ananthapuramu515721India Herman B.Wells Center for Pediatric Research Department of PediatricsIndiana University School of MedicineIndianapolisIN46202USA Animal Physiology and Biochemistry laboratory Department of ZoologyGauhati UniversityGuwahati781014India Department of Pharmacology JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Department of Pharmaceutical analysis National Institute of Pharmaceutical Education and Research(NIPER)-GuwahatiChangsari781101India Department of Pharmacology University of GalwayGalwayH91 TK33Ireland

The presence of N-nitroso compounds,particularly N-nitrosamines,in pharmaceutical products has raised global safety concerns due to their significant genotoxic and mutagenic *** systematic review investigates their toxicity in active pharmaceutical ingredients(APIs),drug products,and pharmaceutical excipients,along with novel analytical strategies for detection,root cause analysis,reformulation strategies,and regulatory guidelines for *** review emphasizes the molecular toxicity of N-nitroso compounds,focusing on genotoxic,mutagenic,carcinogenic,and other physiological ***,it addresses the ongoing nitrosamine crisis,the development of nitrosamine-free products,and the importance of sensitive detection methods and precise risk *** comprehensive overview will aid molecular biologists,analytical scientists,formulation scientists in research and development sector,and researchers involved in management of nitrosamine-induced toxicity and promoting safer pharmaceutical products.

关键词： Carcinogenicity Genotoxicity Mutagenicity Molecular toxicity Nitrosamine impurities Nitrosamine drug substance-related impurities

Seismic safety assessment with non-Gaussian random processes for train-bridge coupled systems

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Earthquake Engineering and Engineering Vibration 2024年第1期23卷 241-260页

作者： Zhao Han Gao Lei Wei Biao Tan Jincheng Guo Peidong Jiang Lizhong Xiang Ping Key laboratory of Geomechanics and Embankment Engineering of Ministry of Education Hohai UniversityNanjing 210024China School of Civil Engineering Central South UniversityChangsha 410075China

Extensive high-speed railway(HSR)network resembled the intricate vascular system of the human body,crisscrossing *** events,known for their unpredictability,pose a significant threat to both trains and bridges,given the HSR’s extended operational ***,ensuring the running safety of train-bridge coupled(TBC)system,primarily composed of simply supported beam bridges,is *** methods like the Monte Carlo method fall short in analyzing this intricate system ***,efficient algorithm like the new point estimate method combined with moment expansion approximation(NPEM-MEA)is applied to study random responses of numerical simulation TBC *** of the NPEM-MEA’s feasibility is conducted using the Monte Carlo *** analysis confirms the accuracy and efficiency of the method,with a recommended truncation order of four to six for the ***,the influences of seismic magnitude and epicentral distance are discussed based on the random dynamic responses in the TBC *** methodology not only facilitates seismic safety assessments for TBC systems but also contributes to standard-setting for these systems under earthquake conditions.

关键词： train-bridge coupled(TBC)system random vibration new point estimate method(NPEM) seismic safety assessment moment expansion approximation(MEA) non-Gaussian distributions

Integrating multi-omics data of childhood asthma using a deep association model

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Fundamental Research 2024年第4期4卷 738-751页

作者： Kai Wei Fang Qian Yixue Lia Tao Zeng Tao Huang Bio-Med Big Data Center CAS Key Laboratory of Computational BiologyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Guoke Ningbo Life Science and Health Industry Research Institute Ningbo 315000China Guangzhou National laboratory Guangzhou 510000China GMU-GIBH Joint School of Life Sciences The Guangdong-Hong Kong-Macao Joint Laboratory for Cell Fate Regulation and DiseasesGuangzhou LaboratoryGuangzhou Medical UniversityGuangzhou 510000China Key laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China

Childhood asthma is one of the most common respiratory diseases with rising mortality and *** multi-omics data is providing a new chance to explore collaborative biomarkers and corresponding diagnostic models of childhood *** capture the nonlinear association of multi-omics data and improve interpretability of diagnostic model,we proposed a novel deep association model(DAM)and corresponding efficient analysis ***,the Deep Subspace Reconstruction was used to fuse the omics data and diagnostic information,thereby correcting the distribution of the original omics data and reducing the influence of unnecessary data ***,the Joint Deep Semi-Negative Matrix Factorization was applied to identify different latent sample patterns and extract biomarkers from different omics data ***,our newly proposed Deep Orthogonal Canonical Correlation analysis can rank features in the collaborative module,which are able to construct the diagnostic model considering nonlinear correlation between different omics data *** DAM,we deeply analyzed the transcriptome and methylation data of childhood *** effectiveness of DAM is verified from the perspectives of algorithm performance and biological significance on the independent test dataset,by ablation experiment and comparison with many baseline methods from clinical and biological *** DAM-induced diagnostic model can achieve a prediction AUC of o.912,which is higher than that of many other alternative ***,relevant pathways and biomarkers of childhood asthma are also recognized to be collectively altered on the gene expression and methylation *** an interpretable machine learning approach,DAM simultaneously considers the non-linear associations among samples and those among biological features,which should help explore interpretative biomarker candidates and efficient diagnostic models from multi-omics data analysis for human complexdiseases.

关键词： Deepsub space reconstruction Deepnon-negative matrix factorization Deepcanonical correlationanalysis Multi-omics Interpretable machine learning Childhood asthma