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artificial intelligence-based analysis of tumor-infiltrating lymphocyte spatial distribution for colorectal cancer prognosis

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Chinese medical Journal 2024年第4期137卷 421-430页

作者： Ming Cai Ke Zhao Lin Wu Yanqi Huang Minning Zhao Qingru Hu Qicong Chen Su Yao Zhenhui Li Xinjuan Fan Zaiyi Liu Department of Radiology Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong 510080China Guangdong Provincial Key Laboratory of artificial intelligence in medical Image Analysis and Application GuangzhouGuangdong 510080China Guangdong Cardiovascular Institute Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong 510080China medical research Institute Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong 510080China Department of Pathology The Third Affiliated Hospital of Kunming Medical UniversityYunnan Cancer HospitalYunnan Cancer CenterKunmingYunnan 650118China The Second School of Clinical Medicine Southern Medical UniversityGuangzhouGuangdong 510515China Institute of Computing Science and Technology Guangzhou UniversityGuangzhouGuangdong 510006China Department of Pathology Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong 510080China Department of Pathology The Sixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong 510655China

Background:artificial intelligence(AI)technology represented by deep learning has made remarkable achievements in digital pathology,enhancing the accuracy and reliability of diagnosis and prognosis evaluation.The spatial distribution of CD3^(+)and CD8^(+)T cells within the tumor microenvironment has been demonstrated to have a significant impact on the prognosis of colorectal cancer(CRC).This study aimed to investigate CD3_(CT)(CD3^(+)T cells density in the core of the tumor[CT])prognostic ability in patients with CRC by using AI technology.Methods:The study involved the enrollment of 492 patients from two distinct medical centers,with 358 patients assigned to the training cohort and an additional 134 patients allocated to the validation cohort.To facilitate tissue segmentation and T-cells quantification in whole-slide images(WSIs),a fully automated workflow based on deep learning was devised.Upon the completion of tissue segmentation and subsequent cell segmentation,a comprehensive analysis was conducted.Results:The evaluation of various positive T cell densities revealed comparable discriminatory ability between CD3_(CT) and CD3-CD8(the combination of CD3^(+)and CD8^(+)T cells density within the CT and invasive margin)in predicting mortality(C-index in training cohort:0.65 vs.0.64;validation cohort:0.69 vs.0.69).The CD3_(CT) was confirmed as an independent prognostic factor,with high CD3_(CT) density associated with increased overall survival(OS)in the training cohort(hazard ratio[HR]=0.22,95%confidence interval[CI]:0.12–0.38,P<0.001)and validation cohort(HR=0.21,95%CI:0.05–0.92,P=0.037).Conclusions:We quantify the spatial distribution of CD3^(+)and CD8^(+)T cells within tissue regions in WSIs using AI technology.The CD3_(CT) confirmed as a stage-independent predictor for OS in CRC patients.Moreover,CD3_(CT) shows promise in simplifying the CD3-CD8 system and facilitating its practical application in clinical settings.

关键词： Colorectal cancer artificial intelligence Deep learning Digital pathology Prognosis Immune cells CD3 CD8 TME

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Boosting MA-based two-dimensional Ruddlesden-Popper perovskite solar cells by incorporating a binary spacer

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Journal of Energy Chemistry 2024年第8期95卷 348-356页

作者： Xue Dong Yinhao Tang Yiqun Li Xin Li Yuzhen Zhao Wenqi Song Fangmin Wang Shudong Xu Yipeng Zhou Chenxin Ran Zongcheng Miao Lin Song Zhongbin Wu Xi'an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device Technological Institute of Materials & Energy Science (TIMES) Xijing University Frontiers Science center for Flexible Electronics Xi'an Institute of Flexible Electronics (IFE) Northwestern Polytechnical University School of artificial intelligence Optics and Electronics (iOPEN) Northwestern Polytechnical University

Two-dimensional Ruddlesden-Popper（2DRP） perovskite exhibits excellent stability in perovskite solar cells（PSCs） due to introducing hydrophobic long-chain organic spacers.However,the poor charge transporting property of bulky organic cation spacers limits the performance of 2DRP PSCs.Inspired by the Asite cation alloying strategy in 3D perovskites,2DRP perovskites with a binary spacer can promote charge transporting compared to the unary spacer counterparts.Herein,the superior MA-based 2DRP perovskite films with a binary spacer,including 3-guanidinopropanoic acid（GPA） and 4-fluorophenethylamine（FPEA） are realized.These films(GPA0.85FPEA0.15)2MA4Pb5I16show good morphology,large grain size,decreased trap state density,and preferential orientation of the as-prepared film.Accordingly,the present 2DRP-based PSC with the binary spacer achieves a remarkable efficiency of 18.37% with a VOCof1.15 V,a JSCof 20.13 mA cm-2,and an FF of 79.23%.To our knowledge,the PCE value should be the highest for binary spacer MA-based 2DRP（n ≤ 5） PSCs to date.Importantly,owing to the hydrophobic fluorine group of FPEA and the enhanced interlayer interaction by FPEA,the unencapsulated 2DRP PSCs based on binary spacers exhibit much excellent humidity stability and thermal stability than the unary spacer counterparts.

关键词： Binary spacers Perovskite solar cells Stability Two-dimensional Ruddlesden-Popper perovskite

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Geyser Inspired Algorithm:A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization

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Journal of Bionic Engineering 2024年第1期21卷 374-408页

作者： Mojtaba Ghasemi Mohsen Zare Amir Zahedi Mohammad-Amin Akbari Seyedali Mirjalili Laith Abualigah Department of Electronics and Electrical Engineering Shiraz University of TechnologyShirazIran Department of Electrical Engineering Faculty of EngineeringJahrom UniversityJahromFrasIran Department of Electrical and Computer Engineering Tarbiat Modares UniversityTehranIran Department of Electrical and Computer Engineering University ofCyprusNicosiaCyprus Centre for artificial intelligence research and Optimisation Torrens University AustraliaBrisbaneQLD 4006Australia University research and Innovation center Obuda University1034 BudapestHungary Department of Electrical and Computer Engineering Lebanese American UniversityByblos 13-5053Lebanon Hourani center for Applied Scientific research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU research Unit Middle East UniversityAmman 11831Jordan Applied Science research center Applied Science Private UniversityAmman 11931Jordan

Over the past years,many efforts have been accomplished to achieve fast and accurate meta-heuristic algorithms to optimize a variety of real-world problems.This study presents a new optimization method based on an unusual geological phenomenon in nature,named Geyser inspired Algorithm(GEA).The mathematical modeling of this geological phenomenon is carried out to have a better understanding of the optimization process.The efficiency and accuracy of GEA are verified using statistical examination and convergence rate comparison on numerous CEC 2005,CEC 2014,CEC 2017,and real-parameter benchmark functions.Moreover,GEA has been applied to several real-parameter engineering optimization problems to evaluate its effectiveness.In addition,to demonstrate the applicability and robustness of GEA,a comprehensive investigation is performed for a fair comparison with other standard optimization methods.The results demonstrate that GEA is noticeably prosperous in reaching the optimal solutions with a high convergence rate in comparison with other well-known nature-inspired algorithms,including ABC,BBO,PSO,and RCGA.Note that the source code of the GEA is publicly available at https://***/projects/gea.

关键词： Nature-inspired algorithms Real-world and engineering optimization Mathematical modeling Geyser algorithm(GEA)

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A novel dual serotonin transporter and M-channel inhibitor D01 for antidepression and cognitive improvement

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Acta Pharmaceutica Sinica B 2024年第3期14卷 1457-1466页

作者： Yaqin Wei Xiangqing Xu Qiang Guo Song Zhao Yinli Qiu Dongli Wang Wenwen Yu Yani Liu KeWei Wang School of Pharmacy Xuzhou Medical UniversityXuzhou 221004China Institute of Pharmaceutical research Jiangsu Nhwa Pharmaceutical Co.Ltd.&Jiangsu Key Laboratory of Central Nervous System Drug Research and DevelopmentXuzhou 221116China Department of Pharmacology School of PharmacyQingdao University Medical CollegeQingdao 266073China Institute of Innovative Drug Qingdao UniversityQingdao 266021China center for Brain Science and Brain-Inspired intelligence Guangdong-Hong Kong-Macao Greater Bay AreaGuangzhou 510515China

Cognitive dysfunction is a core symptom common in psychiatric disorders including depression that is primarily managed by antidepressants lacking efficacy in improving cognition.In this study,we report a novel dual serotonin transporter and voltage-gated potassium Kv7/KCNQ/M-channel inhibitor D01(a 2-methyl-3-aryloxy-3-heteroarylpropylamines derivative)that exhibits both anti-depression effects and improvements in cognition.D01 inhibits serotonin transporters(K_(i)=30.1±6.9 nmol/L)and M channels(IC_(50)=10.1±2.4μmol/L).D01 also reduces the immobility duration in the mouse FST and TST assays in a dose-dependent manner without a stimulatory effect on locomotion.Intragastric administrations of D01(20 and 40 mg/kg)can significantly shorten the immobility time in a mouse model of chronic restraint stress(CRS)-induced depression-like behavior.Additionally,D01 dose-dependently improves the cognitive deficit induced by CRS in Morris water maze test and increases the exploration time with novel objects in normal or scopolamine-induced cognitive deficits in mice,but not fluoxetine.Furthermore,D01 reverses the long-term potentiation(LTP)inhibition induced by scopolamine.Taken together,our findings demonstrate that D01,a dual-target serotonin reuptake and M channel inhibitor,is highly effective in the treatment-resistant depression and cognitive deficits,thus holding potential for development as therapy of depression with cognitive deficits.

关键词： SERT 5-HT Kv7/KCNQ/M current D01 Depression Cognition

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Simplified liver imaging reporting and data system for the diagnosis of hepatocellular carcinoma on gadoxetic acid-enhanced magnetic resonance imaging

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World Journal of Gastrointestinal Oncology 2024年第6期16卷 2439-2448页

作者： Rong Lyu Wei-Juan Hu Di Wang Jiao Wang Yu-Bing Ye Ke-Feng Jia Department of Radiology Tianjin Third Central HospitalTianjin Key Laboratory of Extracorporeal Life Support for Critical DiseasesArtificial Cell Engineering Technology Research CenterTianjin 300170China

BACKGROUND The liver imaging reporting and data system(LI-RADS)diagnostic table has 15 cells and is too complex.The diagnostic performance of LI-RADS for hepatocellular carcinoma(HCC)is not satisfactory on gadoxetic acid-enhanced magnetic resonance imaging(EOB-MRI).AIM To evaluate the ability of the simplified LI-RADS(sLI-RADS)to diagnose HCC on EOB-MRI.METHODS A total of 331 patients with 356 hepatic observations were retrospectively analysed.The diagnostic performance of sLI-RADS A-D using a single threshold was evaluated and compared with LI-RADS v2018 to determine the optimal sLIRADS.The algorithms of sLI-RADS A-D are as follows:The single threshold for sLI-RADS A and B was 10 mm,that is,classified observations≥10mm using an algorithm of 10-19 mm observations(sLI-RADS A)and≥20 mm observations(sLI-RADS B)in the diagnosis table of LI-RADS v2018,respectively,while the classification algorithm remained unchanged for observations0.999).With HBP hypointensity as an MF,the sensitivity of F-sLI-RADS was greater than that of LI-RADS v2018(93.0%vs 87.0%,P<0.001)and sLI-RADS D(93.0%vs 89.8%,P=0.016),without a lower specificity(86.5%vs 90.1%,P=0.062;86.5%vs 89.4%,P=0.125).Compared with that of LI-RADS v2018,the time to classify lesions according to FsLI-RADS was shorter(51±

关键词： Hepatocellular carcinoma Magnetic resonance imaging Liver Diagnosis Contrast agent

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Video Summarization Approach Based on Binary Robust Invariant Scalable Keypoints and Bisecting K-Means

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Computers, Materials & Continua 2024年第3期78卷 3565-3583页

作者： Sameh Zarif Eman Morad Khalid Amin Abdullah Alharbi Wail S.Elkilani Shouze Tang Department of Information Technology Faculty of Computers and InformationMenoufia UniversityMenoufia32511Egypt Department of artificial intelligence Faculty of Artificial IntelligenceEgyptian Russian UniversityBader11829Egypt Department of Computer Science Community CollegeKing Saud UniversityRiyadh11362Saudi Arabia College of Applied Computer Science King Saud UniversityAl-Muzahmiya19676Saudi Arabia School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China

Due to the exponential growth of video data,aided by rapid advancements in multimedia technologies.It became difficult for the user to obtain information from a large video series.The process of providing an abstract of the entire video that includes the most representative frames is known as static video summarization.This method resulted in rapid exploration,indexing,and retrieval of massive video libraries.We propose a framework for static video summary based on a Binary Robust Invariant Scalable Keypoint(BRISK)and bisecting K-means clustering algorithm.The current method effectively recognizes relevant frames using BRISK by extracting keypoints and the descriptors from video sequences.The video frames’BRISK features are clustered using a bisecting K-means,and the keyframe is determined by selecting the frame that is most near the cluster center.Without applying any clustering parameters,the appropriate clusters number is determined using the silhouette coefficient.Experiments were carried out on a publicly available open video project(OVP)dataset that contained videos of different genres.The proposed method’s effectiveness is compared to existing methods using a variety of evaluation metrics,and the proposed method achieves a trade-off between computational cost and quality.

关键词： BRISK bisecting K-mean video summarization keyframe extraction shot detection

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Phosphorylated protein chip combined with artificial intelligence tools for precise drug screening

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Journal of Biomedical research 2024年第3期38卷 195-205页

作者： Katsuhisa Horimoto Yuki Suyama Tadamasa Sasaki Kazuhiko Fukui Lili Feng Meiling Sun Yamin Tang Yixuan Zhang Dongyin Chen Feng Han SOCIUM Inc. Tokyo 1350064Japan International medical center Saitama Medical UniversitySaitama 350-1298Japan artificial intelligence research center National Institute of Advanced Industrial Science and TechnologyTokyo 1350064Japan Department of Informatics and Data Science Sanyo-Onoda City UniversityYamaguchi 7560884Japan International Joint Laboratory for Drug Target of Critical Illnesses School of PharmacyNanjing Medical UniversityNanjingJiangsu 211166China Department of Physiology School of Basic Medical SciencesNanjing Medical UniversityNanjingJiangsu 211166China Gusu School Nanjing Medical UniversitySuzhouJiangsu 215001China National Vaccine Innovation Platform Nanjing Medical UniversityNanjingJiangsu 211166China

We have developed a protein array system,named"Phospho-Totum",which reproduces the phosphorylation state of a sample on the array.The protein array contains 1471 proteins from 273 known signaling pathways.According to the activation degrees of tyrosine kinases in the sample,the corresponding groups of substrate proteins on the array are phosphorylated under the same conditions.In addition to measuring the phosphorylation levels of the 1471 substrates,we have developed and performed the artificial intelligence-assisted tools to further characterize the phosphorylation state and estimate pathway activation,tyrosine kinase activation,and a list of kinase inhibitors that produce phosphorylation states similar to that of the sample.The Phospho-Totum system,which seamlessly links and interrogates the measurements and analyses,has the potential to not only elucidate pathophysiological mechanisms in diseases by reproducing the phosphorylation state of samples,but also be useful for drug discovery,particularly for screening targeted kinases for potential drug kinase inhibitors.

关键词： Phospho-Totum protein array signal transduction pathways artificial intelligence tools drug screening

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Tailoring high-refractive-index nanocomposites for manufacturing of ultraviolet metasurfaces

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Microsystems & Nanoengineering 2024年第2期10卷 303-310页

作者： Hyunjung Kang Dongkyo Oh Nara Jeon Joohoon Kim Hongyoon Kim Trevon Badloe Junsuk Rho Department of Mechanical Engineering Pohang University of Science and Technology(POSTECH)PohangRepublic of Korea Graduate School of artificial intelligence Pohang University of Science and Technology(POSTECH)PohangRepublic of Korea Department of Chemical Engineering Pohang University of Science and Technology(POSTECH)PohangRepublic of Korea Department of Electrical Engineering Pohang University of Science and Technology(POSTECH)PohangRepublic of Korea POSCO-POSTECH-RIST Convergence research center for Flat Optics and Metaphotonics PohangRepublic of Korea National Institute of Nanomaterials Technology(NINT) PohangRepublic of Korea

Nanoimprint lithography(NIL)has been utilized to address the manufacturing challenges of high cost and low throughput for optical metasurfaces.To overcome the limitations inherent in conventional imprint resins characterized by a low refractive index(n),high-n nanocomposites have been introduced to directly serve as meta-atoms.However,comprehensive research on these nanocomposites is notably lacking.In this study,we focus on the composition of high-n zirconium dioxide(ZrO_(2))nanoparticle(NP)concentration and solvents used to produce ultraviolet(UV)metaholograms and quantify the transfer fidelity by the measured conversion efficiency.The utilization of 80 wt%ZrO_(2)NPs in MIBK,MEK,and acetone results in conversion efficiencies of 62.3%,51.4%,and 61.5%,respectively,at a wavelength of 325 nm.The analysis of the solvent composition and NP concentration can further enhance the manufacturing capabilities of high-n nanocomposites in NIL,enabling potential practical use of optical metasurfaces.

关键词： ultraviolet refractive nanocomposites

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E-voting system using cloud-based hybrid blockchain technology

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Journal of Safety Science and Resilience 2024年第1期5卷 102-109页

作者： Beulah Jayakumari S Lilly Sheeba Maya Eapen Jani Anbarasi Vinayakumar Ravi A.Suganya Malathy Jawahar Department of Information Technology Tagore Engineering College Chennai India School of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram ChennaiIndia Department of Information Technology Jerusalem College of Engineering ChennaiIndia School of Computer Science and Engineering Vellore Institute of Technology Chennai India center for artificial intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia Leather Process Technology Division CSIR-Central Leather research Institute ChennaiIndia

With the invention of Internet-enabled devices,cloud and blockchain-based technologies,an online voting system can smoothly carry out election processes.During pandemic situations,citizens tend to develop panic about mass gatherings,which may influence the decrease in the number of votes.This urges a reliable,flexible,transparent,secure,and cost-effective voting system.The proposed online voting system using cloud-based hybrid blockchain technology eradicates the flaws that persist in the existing voting system,and it is carried out in three phases:the registration phase,vote casting phase and vote counting phase.A timestamp-based authentication protocol with digital signature validates voters and candidates during the registration and vote casting phases.Using smart contracts,third-party interventions are eliminated,and the transactions are secured in the blockchain network.Finally,to provide accurate voting results,the practical Byzantine fault tolerance(PBFT)consensus mechanism is adopted to ensure that the vote has not been modified or corrupted.Hence,the overall performance of the proposed system is significantly better than that of the existing system.Further performance was analyzed based on authentication delay,vote alteration,response time,and latency.

关键词： E-voting Cloud Blockchain Smart contract Consensus mechanism

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Theory and verification of moiréfringes for x-ray three-phase grating interferometer

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Chinese Physics B 2024年第5期33卷 532-540页

作者：单雨征葛永帅杨君郭大育蔡学宝刘晓珂侯晓文郭金川 Key Laboratory of Optoelectronic Devices and Systems of the Ministry of Education Key Laboratory of Optoelectronic Devices and Systems of the Department of EducationGuangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China research center for medical artificial intelligence Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Institute of Advanced Science Facilities Shenzhen 518107China Institute of Electronic Paper Displays South China Academy of Advanced OptoelectronicsSouth China Normal UniversityGuangzhou 510006China College of Biophotonics South China Normal UniversityGuangzhou 510631China MinFound medical Systems Co. Ltd.Hangzhou 310018China

Dual-phase and three-phase grating x-ray interference is a promising new technique for grating-based x-ray differential phase contrast imaging.Dual-phase grating interferometers have been relatively completely studied and discussed.In this paper,the corresponding imaging fringe formula of the three-phase grating interferometer is provided.At the same time,the similarities and differences between the three-phase grating interferometer and the dual-phase grating interferometer are investigated and verified,and that the three-phase grating interferometer can produce large-period moiréfringes without using the analyzing grating is demonstrated experimentally.Finally,a simple method of designing three-phase grating and multi-grating imaging systems from geometric optics based on the thin-lens theory of gratings is presented.These theoretical formulas and experimental results provide optimization tools for designing three-phase grating interferometer systems.

关键词： x-ray phase contrast phase grating moiréfringe

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