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A deep learning system for predicting time to progression of diabetic retinopathy

NATURE MEDICINE 2024年第2期30卷 358-359页

作者： [Anonymous] Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders Department of Computer Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Endocrinology and Metabolism Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai Diabetes Institute Shanghai Clinical Center for Diabetes Shanghai China MOE Key Laboratory of AI School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Department of Ophthalmology Huadong Sanatorium Wuxi China Department of Ophthalmology Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Hong Kong China Singapore Eye Research Institute Singapore National Eye Centre Singapore Singapore Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong China Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Hong Kong China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science Guangzhou China Department of Ophthalmology Peking Union Medical College Hospital Peking Union Medical College Chinese Academy of Medical Sciences Beijing China Medical Records and Statistics Office Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Geriatrics Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Tech

We developed and validated a deep learning system (termed DeepDR Plus) in a diverse, multiethnic, multi-country dataset to predict personalized risk and time to progression of diabetic retinopathy. We show that DeepDR Plus can be integrated into the clinical workflow to promote individualized intervention strategies for the management of diabetic retinopathy.

关键词： Diabetes complications Machine learning Predictive markers

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Piezoelectricity of strain-induced overall water splitting of Ni(OH)2/MoS2 heterostructure

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Journal of Materials Chemistry A 2023年第7期11卷 3481-3492页

作者： Le, Kim Tuyen Pham, Nguyet N. T. Liao, Yin-Song Ranjan, Ashok Lin, Hsun-Yen Chen, Po-Han Nguyen, Hoang Lu, Ming Yen Lee, Seung Geol Wu, Jyh Ming Department of Materials Science and Engineering National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan Department of Chemistry University of Science Vietnam National University Ho Chi Minh City Viet Nam School of Chemical Engineering Pusan National University 2 Busandaehak-ro 63 beon-gil Geumjeong-gu Busan46241 Korea Republic of Department of Organic Material Science and Engineering Pusan National University 2 Busandaehak-ro 63 beon-gil Geumjeong-gu Busan46241 Korea Republic of PhD Program in Prospective Functional Materials Industry National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan High Entropy Materials Center National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan Vietnam National University Ho Chi Minh City Linh Trung Ward Thu Duc City Ho Chi Minh City700000 Viet Nam

In this study, we synthesized several active sites of molybdenum disulfide (MoS2) nanoflowers (NFs) decorated with Ni(OH)2 nanoparticles (NPs) to form heterostructures. Our results revealed that Ni(OH)2/MoS2 NF heterostructures caused the splitting of water into hydrogen (H2) and oxygen (O2) gas. The Ni(OH)2/MoS2 NF interface exhibited strain-induced piezoelectric potential (piezopotential) that promoted charge separation, reducing the kinetic barrier in the water splitting process and promoting the hydrogen evolution reaction (HER) and the oxygen evolution reaction (OER). In high-resolution transmission microscopy images, the measured lattice fringe d spacing was approximately 0.67 nm, which was higher than the reported value. The calculated tensile strain of Ni(OH)2/MoS2 NF heterostructures was approximately 3.5%. The findings based on density-functional theory and using the finite element method indicated that the interfacial piezopotential generated between Ni(OH)2 and MoS2 NFs enhanced charge transfer and electrochemical reactions. To obtain a current density up to 10 mA cm−2, we set the overpotential and Tafel slope of Ni(OH)2/MoS2 NF heterostructures at 155 mV and 62.1 mV dec−1 for the HER and 328 mV and 69.3 mV dec−1 for the OER, respectively. Moreover, a high Faraday efficiency (84.1%) was observed over 48 h, with no significant decline in the HER and OER. © 2023 The Royal Society of Chemistry.

关键词： Molybdenum disulfide

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Advances in filler-crosslinked membranes for hydrogen fuel cells in sustainable energy generation

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International Journal of Hydrogen Energy 2025年 140卷 745-776页

作者： Aminul Islam Mamun Shahriar Md. Tarekul Islam Siow Hwa Teo M. Azizur R. Khan Yun Hin Taufiq-Yap Suman C. Mohanta Ariyan Islam Rehan Adiba Islam Rasee Khadiza Tul Kubra Md. Munjur Hasan Md. Shad Salman R.M. Waliullah Md. Nazmul Hasan Md. Chanmiya Sheikh Tetsuya Uchida Mrs Eti Awual Mohammed Sohrab Hossain Hussein Znad Md. Rabiul Awual Department of Petroleum and Mining Engineering Jashore University of Science and Technology Jashore 7408 Bangladesh College of Engineering Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Republic of Korea Department of Chemistry Jashore University of Science and Technology Jashore 7408 Bangladesh Department of Leather Engineering Faculty of Mechanical Engineering Khulna University of Engineering and Technology Khulna 9203 Bangladesh Industrial Chemistry Program Faculty of Science and Natural Resources Universiti Malaysia Sabah 88400 Kota Kinabalu Sabah Malaysia Catalysis Science and Technology Research Centre Faculty of Science Universiti Putra Malaysia Serdang 43400 Malaysia Department of Chemistry School of Science The University of Tokyo 7-3-1 Bunkyo-ku Tokyo 113-0033 Japan Department of Chemistry Graduate School of Science Osaka University Osaka 560-0043 Japan Institute for Chemical Research Kyoto University Gokasho Uji Kyoto 611-0011 Japan Division of Applied Chemistry Graduate School of Natural Science and Technology Okayama University 1-1 Tsushima-naka 3-Chome Okayama 700-8530 Japan Western Australian School of Mines: Minerals Energy and Chemical Engineering Curtin University GPO Box U 1987 Perth WA 6845 Australia

Fuel cell membranes can be used in various ways to achieve zero-emission transport and energy systems, which offer a promising way to power production due to their higher efficiency compared to the internal combustion engine and the eco-environment. Perfluoro sulfonic acid membranes used for proton exchange membranes (PEMs) have certain drawbacks, like higher fuel permeability and expense, lower mechanical and chemical durability, and proton conductivity under low humidity and above 80 °C temperature. Researchers have drawn their attention to the production of polymer electrolyte membranes with higher proton conductivity, thermal and chemical resilience, maximum power density, lower fuel permeability, and lower expense. For sustainable clean energy generation, a review covering the most useful features of advanced material-associated membranes would be of great benefit to all interested communities. This paper endeavors to explore several types of novel inorganic fillers and crosslinking agents, which have been incorporated into membrane matrices to design the desired properties for an advanced fuel cell system. Membrane parameters such as proton conductivity, the ability of H 2 transport, and the stability of the membrane are described. Research directions for developing fuel cell membranes are addressed based on several challenges suggested. The technological advancement of nanostructured materials for fuel cell applications is believed to significantly promote the future clean energy generation technology in practice.

关键词： Advanced materials Fuel cell Hydrogen gas generation Proton exchange membrane Polymer

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CREASE-2D Analysis of Small Angle X-ray Scattering Data from Supramolecular Dipeptide Systems

arXiv

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arXiv 2025年

作者： Gupta, Nitant Akepati, Sri V.V.R. Bianco, Simona Shah, Jay Adams, Dave J. Jayaraman, Arthi Department of Chemical and Biomolecular Engineering University of Delaware NewarkDE19716 United States Data Science Program University of Delaware NewarkDE19716 United States School of Chemistry University of Glasgow GlasgowG12 8QQ United Kingdom Department of Materials Science and Engineering University of Delaware NewarkDE19716 United States

In this paper, we extend a recently developed machine-learning (ML) based CREASE-2D method to analyze the entire two-dimensional (2D) scattering pattern obtained from small angle X-ray scattering measurements of supramolecular dipeptide micellar systems. Traditional analysis of such scattering data would involve use of approximate or incorrect analytical models to fit to azimuthally-averaged 1D scattering patterns that can miss the anisotropic arrangements. Analysis of the 2D scattering profiles of such micellar solutions using CREASE-2D allows us to understand both isotropic and anisotropic structural arrangements that are present in these systems of assembled dipeptides in water and in the presence of added solvents/salts. CREASE-2D outputs distributions of relevant structural features including ones that cannot be identified with existing analytical models (e.g., assembled tubes’ cross-sectional eccentricity, tortuosity, orientational order). The representative three-dimensional (3D) real-space structures for the optimized values of these structural features further facilitate visualization of the structures. Through this detailed interpretation of these 2D SAXS profiles we are able to characterize the shapes of the assembled tube structures as a function of dipeptide chemistry, solution conditions with varying salts and solvents, and relative concentrations of all components. This paper demonstrates how CREASE-2D analysis of entire SAXS profiles can provide an unprecedented level of understanding of structural arrangements which has not been possible through traditional analytical model fits to the 1D SAXS data. © 2025, CC BY-NC-SA.

关键词： X ray scattering

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Review of mayflies (Insecta Ephemeroptera) as a bioindicator of heavy metals and microplastics in freshwater

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science of the Total Environment 2025年 958卷 178057页

作者： Benhadji, Nadhira Kurniawan, Setyo Budi Imron, Muhammad Fauzul Institute of Technology and Life Sciences—National Research Institute Falenty Hrabska Avenue 3 Raszyn05-090 Poland Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Selangor UKM Bangi43600 Malaysia Study Program of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Campus C UNAIR Jalan Mulyorejo Surabaya60115 Indonesia Department of Water Management Faculty of Civil Engineering and Geosciences Delft University of Technology Stevinweg 1 CN Delft2628 Netherlands

Heavy metal and microplastic pollutions are prevalent in freshwater ecosystems, with many freshwater bodies being contaminated by one or both of these pollutants. Recent studies reported extreme detections of Cd, Pb and Zn, high concentrations of Cr, Pb and Cu and microplastics acting as vectors of pollutants, including heavy metals. Mayflies can serve as bioindicators of heavy metal contamination in freshwater ecosystems because changes in their community structure, physiology, and behaviour can reflect and help predict the concentrations of metals in these environments. This review discusses the ecological alterations induced by tissue metal concentration in mayflies and other macroinvertebrates. As sensitive taxa to heavy metal contamination, mayflies can reflect the impacts of this pollution through their ethology and relationship to the substrate, highlighting issues such as eutrophication, alterations in community structure, inhibitory effects and sediment toxicity. Mayflies are also highly affected by microplastic exposure, which leads to ingestion, bioaccumulation, biomagnification, habitat and community alteration, behavioural changes, physiology alteration and toxicity. Mayflies bioindication metrics for assessing the impact of heavy metals and microplastics include the examination of community alteration, functional feeding behaviour, molecular structure, dietary and toxicity impacts, bioaccumulation and biomagnification and biomarkers. Current challenges for the utilization of mayflies as bioindicators include temporal variations in sensitivity, lack of universally recognised protocols and need for standardised protocols for microplastic analysis. Additionally, the applicability of mayflies as bioindicators may vary across different ecosystems, emphasising the need for selecting suitable indicators that align with the unique characteristics of the ecosystem. © 2024 The Authors

关键词： Macroinvertebrates

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The Future of Drug Delivery

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CHEMISTRY OF MATERIALS 2023年第2期35卷 359-363页

作者： Gao, Jingjing Karp, Jeffrey Langer, Robert Joshi, Nitin Center for Nanomedicine Department of Anesthesiology Perioperative and Pain Medicine Brigham and Women’s Hospital Boston Massachusetts 02115 United States Harvard Medical School Boston Massachusetts 02115 United States Harvard-MIT Program in Health Sciences and Technology MIT Cambridge Massachusetts 02139 United States Harvard Stem Cell Institute Cambridge Massachusetts 02138 United States Broad Institute of MIT and Harvard Cambridge Massachusetts 02142 United States Department of Chemical Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02142 United States Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge Massachusetts 02142 United States

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Facile synthesis of large-area ultrathin two-dimensional supramolecular nanosheets in water

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Nano Research 2020年第3期13卷 868-874页

作者： Bojian Hu Peiyi Wu State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular ScienceLaboratory far Advanced MaterialsFudan UniversityShanghai 200433China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of ChemistryChemical Engineering and BiotechnologyCenter for Advanced Low-Dimension MaterialsDonghua UniversityShanghai 201620China

Synthesizing large-area ultrathin two-dimensional(2D)nanostructures in aqueous media has received considerable increasing attention but remains a big ***,we report a facile method for the synthesis of two unprecedented large-area ultrathin 2D supramolecular nanosheets via ionic self-assembly in *** consideration of electrostatic interaction and repulsive effect,deprotonated tetrakis(4-carboxyphenyl)porphyrin(TCPP)or Fe(III)tetra(4-carboxyphenyl)porphine chloride(TCPP(Fe))as connection vertex and protonated bis(2-dimethylaminoethyl)ether(BDMAEE)unit as bridging edge connect with each other to form few-layer 2D nanosheet with a thickness of^1.8–1.9 nm,while the lateral size can close to one hundred ***,the well-dispersed 2D TCPP(Fe)-BDMAEE with heme-like active center displays intrinsic peroxidase-like catalytic activity,which can be used to detect hydrogen *** present facile strategy highlights new opportunities in constructing large-area ultrathin 2D supramolecular nanomaterials and paves the avenue to expand their potential applications.

关键词： large-area ultrathin two-dimensional supramolecular nanosheets peroxidase-like catalytic activity

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Preparation of Pva/Cnts Film with High Humidity Sensitive Performance Based on Multi-Method Integration

SSRN

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SSRN 2023年

作者： Du, Miao Ni, Qingsheng Zhang, Dezhi Shan, Guorong Zheng, Qiang State Key Laboratory of Chemical Engineering College of Chemical and Biological Engineering Zhejiang University Hangzhou310027 China Institute of Zhejiang University-Quzhou Quzhou324000 China China State Shipbuilding Corporation Limited 715th Research Institute Hangzhou310023 China MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and Engineering Zhejiang University Hangzhou310027 China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan030000 China

In this paper, a humidity sensitive PVA film with high stability and short equilibrium time was prepared. The effects of crosslinking structure, pore structure, spin coating speed and CNTs content (φCNTs) on humidity sensitive performance were investigated. The crosslinking of PVA chains enhances the stability under cyclic test condition. Addition of foaming agent can generate pore structure to increase the water vapor exchange efficiency of the film in contact with the external environment which improves the humidity response and recovery performance. Spin coating speed influences significantly the pore structure and thickness of the films prepared. CNTs promote the adsorption of water molecules in air through their high specific surface area, and facilitate the dissociation of water through hole carriers and hydroxyl groups. And the spin coating speed and φCNTs determine the final foaming structure and film thickness. © 2023, The Authors. All rights reserved.

关键词： Pore structure

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Visualized Degradation of CO_(2)-Based Unsaturated Polyesters toward Structure-Controlled and High-Value-Added Fluorophores

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CCS Chemistry 2022年第1期4卷 237-249页

作者： Bo Song Tianwen Bai Dongming Liu Rong Hu Dan Lu Anjun Qin Jun Ling Ben Zhong Tang State Key Laboratory of Luminescent Materials and Devices Guangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesSCUT-HKUST Joint Research InstituteAIE InstituteCenter for Aggregation-Induced EmissionSouth China University of Technology(SCUT)Guangzhou 510640 MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027 Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration and ReconstructionInstitute for Advanced Studyand Department of Chemical and Biological EngineeringThe Hong Kong University of Science&Technology(HKUST)Clear Water BayKowloonHong Kong 999077

In comparing with traditional polymer degradation toward unknown or unvalued products(i.e.,downcycling),new methods to degrade polymers into monomers or high-value-added materials(i.e.,upcycling)are preferable for sustainable *** this work,CO_(2)-based linear and cross-linked unsaturated polyesters,that is,poly(alkynoate)s,were successfully degraded by benzamidine into diols and high-value-added pyrimidone or imidazolone derivatives through controlled reaction *** degradation process could be visualized under UV light via gradually increased luminescent intensity of the reaction mixtures and fluorescence patterns could be generated through microcontact printing of the stamp on the thin films of poly(alkynoate)***,the pyrimidone derivatives could be applied in bioimaging and inhibiting bacteria,and the imidazolone derivatives could be used for the detection and recovery of gold(III)ions from electronic waste and serve as the fluorescent sensor to detect in situ-generated amines from food ***,this work presents a visualized and high value productselective degradation to solve the end-of-life issue of polymers.

关键词： visualized degradation N-heterocyclic compounds aggregation-induced emission microcontact printing gold enrichment

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Enzymatic Synthesis, Characterization, and Application of Sucrose Ester Derived from Palm Kernel Oil Methyl Ester as Food Emulsifier

SSRN

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SSRN 2024年

作者： Rahmi, Rahmi Kurniasih, Eka Darusman, Darusman Supardan, Muhammad Dani Doctoral Program in Agricultural Science Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Chemistry Faculty of Mathematics and Natural Science Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Soil Science Faculty of Agriculture Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia

Sucrose ester (SEs) is an emulsifier that is widely used in many kinds of food products. Its application improves flavor, color, and texture. SEs was synthesized from palm kernel oil methyl ester (PKOME) and sucrose using Candida antarctica lipase enzyme as a biocatalyst. The enzymatic synthesis occurred at 30°C, with a Candida antarctica load of 50 mg, and a stirring speed of 250 rpm. The crude SEs was purified by vacuum filtration and then dried at 35-40°C for 6-8 h. This study aimed to obtain the optimal substrate conversion depending on 2 affecting factors: reaction time and sucrose concentration. Determination of the reaction time was carried out at 2-20 h, and sucrose concentration at 100-1,000 ***-1. The substrate conversion was determined using the refractive index (oBrix value) and then validated with a spectrophotometer-UV. The study found that an optimal substrate conversion of 87.8% had been achieved at a sucrose concentration of 400 ***-1, lasted for 12 h. The characteristics of optimal SEs were as follows: SEs purity was 91.82%, free sucrose was 1.75%, acid value was 2.93%, and free methanol was 0.11%. SEs was an o/w emulsifier with an HLB value of 12.35. The functional groups of SEs were O-H, C-H2, C-H, C=O, and C-O, which differed from substrates. In addition, applying SEs of 0.6% (w/v) in a coconut milk emulsion enriched with cooking oil maintains emulsion stability with a creaming index of 54.30% and a pH of 5.75 for 7 days of storage. © 2024, The Authors. All rights reserved.

关键词： Sugar (sucrose)

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