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Cognitive function among military veterans with STEM occupations

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Military Medical Research 2024年第2期11卷 308-310页

作者： Justin T.McDaniel Kevin N.Hascup Erin R.Hascup Ugochukwu G.Ezigbo Amanda M.Weidhuner Harvey Henson David L.Albright Dale and Deborah Smith Center for Alzheimer's Research and trEatment(CARE) Southern Illinois University School of MedicineSpringfieldIL 62794USA STEM Education Research Center Southern Illinois UniversityCarbondaleIL 62901USA Department of Political Science The University of AlabamaTuscaloosaAL 35487USA

Dear Editor,There is limited research on the relationship between science,technology,engineering,and mathematics(STEM)occupational history and cognitive function in later life,especially among military veterans,who may be at greater risk for later-life cognitive *** study examines a nationally representative sample of military veterans to address this gap in knowledge.

关键词： Alzheimer's disease Veterans Science technology engineering and mathematics(STEM) Animal fluency test Dementia

GliomaCNN: An Effective Lightweight CNN Model in Assessment of Classifying Brain Tumor from Magnetic Resonance Images Using Explainable AI

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2425-2448页

作者： Md.Atiqur Rahman Mustavi Ibne Masum Khan Md Hasib M.F.Mridha Sultan Alfarhood Mejdl Safran Dunren Che Department of Computer Science and Engineering Ahsanullah University of Science and TechnologyDhaka1208Bangladesh Department of Computer Science and Software Engineering The University of Western AustraliaPerthWA 6009Australia Department of Computer Science American International University-BangladeshDhaka1229Bangladesh Department of Computer Science College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia School of Computing Southern Illinois UniversityCarbondale62901USA

Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global *** study addresses the pressing issue of brain tumor classification using Magnetic resonance imaging(MRI).It focuses on distinguishing between Low-Grade Gliomas(LGG)and High-Grade Gliomas(HGG).LGGs are benign and typically manageable with surgical resection,while HGGs are malignant and more *** research introduces an innovative custom convolutional neural network(CNN)model,*** stands out as a lightweight CNN model compared to its *** research utilized the BraTS 2020 dataset for its *** with the gradient-boosting algorithm,GliomaCNN has achieved an impressive accuracy of 99.1569%.The model’s interpretability is ensured through SHapley Additive exPlanations(SHAP)and Gradient-weighted Class Activation Mapping(Grad-CAM++).They provide insights into critical decision-making regions for classification *** challenges in identifying tumors in images without visible signs,the model demonstrates remarkable performance in this critical medical application,offering a promising tool for accurate brain tumor diagnosis which paves the way for enhanced early detection and treatment of brain tumors.

关键词： Deep learning magnetic resonance imaging convolutional neural networks explainable AI boosting algorithm ablation

Isolated Hyperacute T-Waves in West Nile Encephalitis Indicating Atypical Variant of Stress-Induced Cardiomyopathy

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Journal of Biosciences and Medicines 2024年第2期12卷 303-310页

作者： Soomal Rafique Nadeem Khan Momin Siddique School of Medicine Southern Illinois University Springfield USA

Several cardiac outcomes have been reported with West Nile-encephalitis;however, the underlying pathophysiology remains complex. We present a 42-year-old female, with multiple sclerosis, whose neurological symptoms and respiratory decline were finally explained by the diagnosis of West Nile-encephalitis. During her admission, the isolated peaked T-waves indicated the underlying stress-induced cardiomyopathy. The absence of all other causes of hyperacute T-waves, their subsequent resolution with the resolution of infection and improvement in wall motion abnormalities, further supported the association. This case highlights the importance of considering hyperacute T-waves in an approach towards the diagnosis of WNV-encephalitis related atypical variant of stress-induced cardiomyopathy.

关键词： West Nile Virus encephalitis WNV Hyperacute T-Waves Takotsubo Cardiomyopathy Atypical/Inverted Variant of Stress-Induced Cardiomyopathy CMP

A Cautionary Note on the Application of GIS in Spatial Optimization Modeling

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Journal of Geographic Information System 2024年第1期16卷 89-113页

作者： Bin Zhou Department of Geography & GIS Southern Illinois University Edwardsville Edwardsville USA

Spatial optimization as part of spatial modeling has been facilitated significantly by integration with GIS techniques. However, for certain research topics, applying standard GIS techniques may create problems which require attention. This paper serves as a cautionary note to demonstrate two problems associated with applying GIS in spatial optimization, using a capacitated p-median facility location optimization problem as an example. The first problem involves errors in interpolating spatial variations of travel costs from using kriging, a common set of techniques for raster files. The second problem is inaccuracy in routing performed on a graph directly created from polyline shapefiles, a common vector file type. While revealing these problems, the paper also suggests remedies. Specifically, interpolation errors can be eliminated by using agent-based spatial modeling while the inaccuracy in routing can be improved through altering the graph topology by splitting the long edges of the shapefile. These issues suggest the need for caution in applying GIS in spatial optimization study.

关键词： Spatial Optimization GIS Agent-Based Model Covariance Function Interpolation

Lexicon and Deep Learning-Based Approaches in Sentiment Analysis on Short Texts

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Journal of Computer and Communications 2024年第1期12卷 11-34页

作者： Taminul Islam Md. Alif Sheakh Md. Rezwane Sadik Mst. Sazia Tahosin Md. Musfiqur Rahman Foysal Jannatul Ferdush Mahbuba Begum Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Department of Computer Science Southern Illinois University Carbondale IL USA Department of Economics & Decision Sciences University of South Dakota Vermillion SD USA Department of Computer Science and Engineering Jashore University of Science and Technology Jashore Bangladesh Department of Computer Science and Engineering Mawlana Bhashani Science and Technology University Tangail Bangladesh

Social media is an essential component of our personal and professional lives. We use it extensively to share various things, including our opinions on daily topics and feelings about different subjects. This sharing of posts provides insights into someone’s current emotions. In artificial intelligence (AI) and deep learning (DL), researchers emphasize opinion mining and analysis of sentiment, particularly on social media platforms such as Twitter (currently known as X), which has a global user base. This research work revolves explicitly around a comparison between two popular approaches: Lexicon-based and Deep learning-based Approaches. To conduct this study, this study has used a Twitter dataset called sentiment140, which contains over 1.5 million data points. The primary focus was the Long Short-Term Memory (LSTM) deep learning sequence model. In the beginning, we used particular techniques to preprocess the data. The dataset is divided into training and test data. We evaluated the performance of our model using the test data. Simultaneously, we have applied the lexicon-based approach to the same test data and recorded the outputs. Finally, we compared the two approaches by creating confusion matrices based on their respective outputs. This allows us to assess their precision, recall, and F1-Score, enabling us to determine which approach yields better accuracy. This research achieved 98% model accuracy for deep learning algorithms and 95% model accuracy for the lexicon-based approach.

关键词： Opinion Mining Lexicon Analysis Twitter Data LSTM Machine Learning

Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 18-36页

作者： Ding Wang Ning Gao Derong Liu Jinna Li Frank L.Lewis IEEE the Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Laboratory of Smart Environmental Protectionand Beijing Institute of Artificial IntelligenceBeijing University of TechnologyBeijing 100124China the School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China the Department of Electrical and Computer Engineering University of Illinois at ChicagoChicago IL 60607 USA the School of Information and Control Engineering Liaoning Petrochemical UniversityFushun 113001China the UTA Research Institute the University of Texas at ArlingtonArlington TX 76118 USA

Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and its applications to various advanced control fields. First, the background of the development of ADP is described, emphasizing the significance of regulation and tracking control problems. Some effective offline and online algorithms for ADP/adaptive critic control are displayed, where the main results towards discrete-time systems and continuous-time systems are surveyed, ***, the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed, respectively, where event-based design, robust stabilization, and game design are reviewed. Moreover, the extensions of ADP for addressing control problems under complex environment attract enormous attention. The ADP architecture is revisited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation ***, several typical control applications with respect to RL and ADP are summarized, particularly in the fields of wastewater treatment processes and power systems, followed by some general prospects for future research. Overall, the comprehensive survey on ADP and RL for advanced control applications has d emonstrated its remarkable potential within the artificial intelligence era. In addition, it also plays a vital role in promoting environmental protection and industrial intelligence.

关键词： Adaptive dynamic programming(ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning(RL)

Recent advances in long-persistent luminescence materials based on host–guest architecture

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Chinese Chemical Letters 2024年第1期35卷 84-94页

作者： Tiantian Wang Man Liu Jiayi Mao Yimeng Liang Lichang Wang Dongzhi Liu Tianyang Wang Wenping Hu Tianjin Key Laboratory of Molecular Optoelectronic Science(TJ-MOS) Department of ChemistrySchool of ScienceTianjin UniversityTianjin 300072China Department of Chemistry and Biochemistry and the Materials Technology Center Southern Illinois UniversityCarbondaleIL 62901United States School of Chemical Engineering and Technology Tianjin UniversityTianjin 300072China d Haihe Laboratory of Sustainable Chemical Transformations Tianjin 300192China Joint School of National university of Singapore and Tianjin university International Campus of Tianjin UniversityBinhai New CityFuzhou 350207China

Organic long-persistent luminescence(LPL)materials,featuring low preparation cost,eco-friendly synthesis,and easy modification of functional groups,have exhibited extensive applications in information encryption,anti-counterfeiting,and biological *** design strategies including crystallization-inducement,H-aggregation,and host-guest doping to enhance persistent-room-temperature phosphorescence(RTP)effect by precisely controlling intersystem crossing(ISC)constant and suppressing nonradiative decay rates,those are important strategies to enable LPL *** the strategies,researchers have made several efforts to enhance persistent-RTP effect by host-guest interaction,in which the host matrices provide a rigid environment for phosphor guest *** interaction of the luminescent guest molecules with the host matrix can effectively reduce the vibration and rotation of the luminescent molecules,and suppress the non-radiative inactivation,thereby improving the phosphorescence quantum *** review aims to summarize several design strategies of pure organic LPL materials based on persistent-RTP effect through host-guest interaction,and describe some applications of pure organic LPL materials in different fields.

关键词： Organic long-persistent luminescence Host-guest interaction Small molecule Macrocyclic Polymer

Comprehensive overview of genotype distribution and prevalence of human papillomavirus in cervical lesions

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Gynecology and Obstetrics Clinical Medicine 2024年第1期4卷 37-47页

作者： Yuhong Ye Terrel Jones Tiannan Wang Xianxu Zeng Yang Liu Chengquan Zhao Department of Pathology the First Affiliated HospitalFujian Medical UniversityFuzhouFujianChina Department of Pathology Magee-Womens HospitalUniversity of Pittsburgh Medical CenterPittsburghPennsylvaniaUSA Department of Pathology University of Southern CaliforniaLos AngelesCaliforniaUSA Department of Pathology The Third Affliated Hospital of Zhengzhou UniversityZhengzhouHenanChina Departments of Medicine and Bioengineering University of PittsburghPittsburghPennsylvaniaUSA Department of Bioengineering University of Illinois Urbana-ChampaignUrbanaIllinoisUSA

Acrosscervical squamousandgl and ular lesions,a spectrum of human papillomavirus(HPV)genotypes has been *** review aims to provide a comprehensive summary detailing the distribution and profile of HPV genotypes detected in cervical lesions,leveraging insights from histological and cytological ***-risk HPV(HR-HPV)genotypes exhibit varying degrees of oncogenic potential,with HPV16 and HPV18 identified as the most prevalent and oncogenic *** of HR-HPVgenotypes varies among different degrees of the cervical lesions and varies between squamous andglandular ***16 is predominantly associated with severe lesions(precancers and carcinomas),while HPV18 demonstrates a significantly higher prevalence in endocervical as compared with squamous *** distribution of HR-HPV in severe squamous lesions is complex,involving many HR-HPV genotypes in addition to HPV16,while the distribution of HR-HPV genotypes in endocervical glandular lesions is mainly limited in HPV18 and *** datasets from China have identified the three mostcommon HR-HPVgenotypes in this population as stratified by diagnostic category:HPV52,HPV16,HPV58 in histologically negative cases and cervical intraepithelial neoplasia 1(CIN1);HPV16,HPV52,HPV58 in CIN2/3;HPV16,HPV58,HPV52 or HPV18 in squamous cell carcinoma(SCC);HPV16,HPV18 and HPV52 in endocervical adenocarcinoma in situ(AIS),invasiveadenocarcinoma,as well asmixedsquamous and glandular ***33 is the fourth most common HPVtype in CIN2/3and SCC,whileHPV45occursmore commonly in AIS and adenocarcinoma,compared with squamous *** prevalence and distribution of multiple HR-HPV coinfections vary across different cervical *** clinical significance and pathogenesis of these multiple HR-HPV infections remain uncertain,although recent two large studies demonstrate that multiple HR-HPV infections are not associated with cumulatively higher risk of high-grade cervical squamous lesiondeve

关键词： cervical lesions prevalence

Analysis of morphological characteristics of gravels based on digital image processing technology and self-organizing map

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Journal of Arid Land 2023年第3期15卷 310-326页

作者： XU Tao YU Huan QIU Xia KONG Bo XIANG Qing XU Xiaoyu FU Hao College of Earth Science Chengdu University of TechnologyChengdu 610059China Beijing SuperMap Software Co. Ltd.Beijing 100015China Sichuan Real Estate Registration Center Chengdu 610014China Chengdu Institute of Mountain Land and Disasters Chinese Academy of SciencesChengdu 610041China School of Earth Systems and Sustainability Southern Illinois University CarbondaleCarbondaleIL 62901United States of America Environmental Resources and Policy Southern Illinois University CarbondaleCarbondaleIL 62901United States of America Sichuan Institute of Land and Space Ecological Restoration and Geohazard Prevention Chengdu 610081China

A comprehensive understanding of spatial distribution and clustering patterns of gravels is of great significance for ecological restoration and ***,traditional methods for studying gravels are low-efficiency and have many *** study researched the spatial distribution and cluster characteristics of gravels based on digital image processing technology combined with a self-organizing map(SOM)and multivariate statistical methods in the grassland of northern Tibetan ***,the correlation of morphological parameters of gravels between different cluster groups and the environmental factors affecting gravel distribution were *** results showed that the morphological characteristics of gravels in northern region(cluster C)and southern region(cluster B)of the Tibetan Plateau were similar,with a low gravel coverage,small gravel diameter,and elongated *** regions were mainly distributed in high mountainous areas with large topographic *** central region(cluster A)has high coverage of gravels with a larger diameter,mainly distributed in high-altitude plains with smaller *** component analysis(PCA)results showed that the gravel distribution of cluster A may be mainly affected by vegetation,while those in clusters B and C could be mainly affected by topography,climate,and *** study confirmed that the combination of digital image processing technology and SOM could effectively analyzed the spatial distribution characteristics of gravels,providing a new mode for gravel research.

关键词： self-organizing map digital image processing morphological characteristics multivariate statistical method environmental monitoring