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The benefit of curative liver resection with a selective bile duct preserving approach for hepatocellular carcinoma with macroscopic bile duct tumor thrombus

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Hepatobiliary Surgery and Nutrition 2020年第6期9卷 729-738页

作者： Anon Chotirosniramit Akkaphod Liwattanakun Sunhawit Junrungsee wasana ko-iam Trichak Sandhu Worakitti Lapisatepun Division of Hepatobiliary and Pancreatic Surgery Department of SurgeryFaculty of MedicineChiang Mai University HospitalChiang MaiThailand

Background:Hepatocellular carcinoma(HCC)presenting with macroscopic bile duct tumor thrombus(BDTT)is an uncommon *** role of a curative hepatic resection and associated long-term outcomes remain *** addition the necessity for bile duct resection is still *** aim of this study was to evaluate outcomes of hepatectomy with a selective bile duct preservation approach for HCC with BDTT in comparison to outcomes without ***:A total of 22 HCC with BDTT patients who had undergone curative hepatic resection with a selective bile duct preservation approach at our institute were retrospectively *** were compared to group of 145 HCC without BDTT *** impact of curative surgical resection and BDTT on clinical outcomes and survival after surgical resection were ***:All HCC with BDTT cases underwent major hepatectomy vs.32.4%in the comparative *** duct preservation rate was 56.5%.The 1-,3-and 5-year survival rates of HCC with BDTT patients in comparison to the HCC without BDTT group were 81.8%,52.8%and 52.8%vs.73.6%,55.6%and 40.7%(P=0.804)*** resection margin,tumor size≥5 cm and AFP≥200 IU/mL were significant risk factors regarding overall ***,it is unclear whether presence of a bile duct tumor thrombus has an adverse impact on either recurrence free survival or overall ***:Bile duct obstruction from tumor thrombus did not necessarily indicate an advanced form of *** size and AFP had greater impact on long-term outcomes than bile duct tumor *** liver resection with a selective bile duct preserving approach in HCC with BDTT can achieve favorable outcomes comparable to those of HCC without BDTT in selected patients.

关键词： Hepatocellular carcinoma(HCC) bile duct tumor thrombus(BDTT) bile duct preserve outcomes

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Brain age estimation:premise,promise,and problems

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Neural Regeneration Research 2025年第8期20卷 2313-2314页

作者： Jarrad Perron Ji Hyun ko Graduate Program in Biomedical Engineering Price Faculty of EngineeringUniversity of ManitobaWinnipegMBCanada PrairieNeuro Research Centre Kleysen Institute for Advanced MedicineHealth Sciences CentreWinnipegMBCanada Department of Human Anatomy and Cell Science Rady Faculty of Health SciencesUniversity of ManitobaWinnipegMBCanada

Premise:The com bined effects of modern healthcare practices which prolong lifespan and declining birthrates have created unprecedented changes in age demographics worldwide that are especially pronounced in Japan,South korea,Europe,and North *** old age is the most significant predictor of dementia,global healthcare systems must rise to the challenge of providing care for those with neurodegenerative disorders.

关键词： estimation providing birth

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Security Strategy of Digital Medical Contents Based on Blockchain in Generative AI Model

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Computers, Materials & Continua 2025年第1期82卷 259-278页

作者： Hoon ko Marek R.Ogiela Division of Computer Science and Engineering Sunmoon UniversityAsan31460Republic of Korea AGH University of Krakow Cryptography and Cognitive Informatics LaboratoryKrakow30-059Poland

This study presents an innovative approach to enhancing the security of visual medical data in the generative AI environment through the integration of blockchain *** combining the strengths of blockchain and generative AI,the research team aimed to address the timely challenge of safeguarding visual medical *** participating researchers conducted a comprehensive analysis,examining the vulnerabilities of medical AI services,personal information protection issues,and overall security *** multi faceted exploration led to an indepth evaluation of the model’s performance and ***,the correlation between accuracy,detection rate,and error rate was *** analysis revealed insights into the model’s strengths and limitations,while the consideration of standard deviation shed light on the model’s stability and performance *** study proposed practical improvements,emphasizing the reduction of false negatives to enhance detection rate and leveraging blockchain technology to ensure visual data integrity in medical *** blockchain to generative AI-created medical content addresses key personal information protection *** utilizing the distributed ledger system of blockchain,the research team aimed to protect the privacy and integrity of medical data especially medical *** approach not only enhances security but also enables transparent and tamperproof ***,the use of generative AI models ensures the creation of novel medical content without compromising personal information,further safeguarding patient *** conclusion,this study showcases the potential of blockchain-based solutions in the medical field,particularly in securing sensitive medical data and protecting patient *** proposed approach,combining blockchain and generative AI,offers a promising direction toward more robust and secure medical content *** research and advancements

关键词： Digitalmedical content medical diagnostic visualization security analysis generativeAI blockchain vulnerability pattern recognition

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Using Link-Based Consensus Clustering for Mixed-Type Data Analysis

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Computers, Materials & Continua 2022年第1期70卷 1993-2011页

作者： Tossapon Boongoen Natthakan iam-On Center of Excellence in Artificial Intelligence and Emerging Technologies School of Information TechnologyMae Fah Luang UniversityChiang Rai57100Thailand

A mix between numerical and nominal data types commonly presents many modern-age data *** of these include banking data,sales history and healthcare records,where both continuous attributes like age and nominal ones like blood type are exploited to characterize account details,business transactions or ***,only a few standard clustering techniques and consensus clusteringmethods are provided to examine such a data thus *** this insight,the paper introduces novel extensions of link-based cluster ensemble,LCEWCT and LCEWTQ that are accurate for analyzing mixed-type *** promote diversity within an ensemble through different initializations of the k-prototypes algorithm as base clusterings and then refine the summarized data using a link-based *** on the evaluationmetric of NMI(NormalizedMutual Information)that is averaged across different combinations of benchmark datasets and experimental settings,these new models reach the improved level of 0.34,while the best model found in the literature obtains only around the mark of ***,parameter analysis included herein helps to enhance their performance even further,given relations of clustering quality and algorithmic variables specific to the underlying link-based ***,another significant factor of ensemble size is examined in such a way to justify a tradeoff between complexity and accuracy.

关键词： Cluster analysis mixed-type data consensus clustering link analysis

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Beyond neutrality:adding habitat filtering to neutral models

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Ecological Processes 2020年第1期9卷 305-313页

作者： wasana Abeysinghe Ruwan Punchi-Manage Department of Statistics and Computer Science Faculty of ScienceUniversity of PeradeniyaPeradeniya 20400Sri Lanka

Background:Understanding the processes that structure species is one of the primary focuses in community ***’s neutral model shows stochastic processes alone can describe the two macro-ecological patterns,species richness and species-area relationship,of the *** Hubbell’s neutral model can explain the macro-ecological patterns of the species at large scales,it paid less attention to construct the spatial structure of the *** studies suggest that such spatial structures are mostly due to habitat filtering processes work at the intermediate spatial ***,Hubbell’s neutral model does not explain the full picture of the community structuring due to its fully stochastic ***:In this study,we proposed a two-schema model that has the habitat filtering component and the stochastic component to construct the species assemblages seen in the community *** proposed model uses one additional parameter(*** of individuals in habitat)in addition to Hubbell’s three-parameter neutral model(*** bio-diversity number(θ),dispersal limitation(m)and speciation(v)).The proposed model works at two spatial scales:habitat filtering at the intermediate scales and stochastic processes at the large and very small spatial *** model coupled the local community dynamics with the meta-community *** local community has a fixed area with carrying capacity that is proportional to the local community *** number of habitats in the proposed model can *** are placed into habitats with probabilities according to the habitat *** richness and species composition in each habitat were *** model is fitted for differentθvalues,m values,and a different number of ***:We assume that habitat filtering plays an important role together with stochastic processes to structure species in ***,the proposed model with only four parameters can explai

关键词： Neutral theory Habitat models Fundamental bio-diversity number Immigration Local community

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Genetic variation of sand flies(Diptera:Psychodidae)in Gampaha and Kurunegala districts of Sri Lanka:Complementing the morphological identification

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Asian Pacific Journal of Tropical Medicine 2022年第7期15卷 322-331页

作者： Tharaka Wijerathna Nayana Gunathilaka wasana Rodrigo Department of Parasitology Faculty of MedicineUniversity of KelaniyaRagamaSri Lanka Department of Zoology Faculty of Natural SciencesThe Open University of Sri LankaNawalaNugegodaSri Lanka

Objective:To identity the variation of sand flies in the Gampaha and Kurunegala districts of Sri Lanka and to assess DNA barcoding as a complementing method for morphological ***:A total of 38441 sand flies were collected from selected localities in Gampaha and Kurunegala districts using standard entomological techniques from May 2017 to December *** were identified using morphological features and compared with mitochondrial cytochrome C oxidase subunitⅠgene-based DNA barcoding as an alternative ***:Morphological and molecular identification confirmed the presence of four species under two genera(Phlebotomus and Sergentomyia).Phlebotomus argentipes was the predominant species,followed by Sergentomyia(S.)punjabensis,*** insularis,and an unidentified Sergentomyia *** argentipes showed a clear genetic differentiation from other *** insularis and *** showed a higher genetic affinity to each other than the unidentified *** unidentified Sergentomyia species is morphologically similar to ***,but differs only in clavate ***:DNA barcoding is an effective technique for the identification of sand *** studies using molecular techniques will improve the knowledge of the cryptic diversity of Sri Lankan sand fly *** a reliable and standardized identification system for sand fly species in Sri Lanka is recommended.

关键词： Morphology Sand fly Identification Barcoding Sequencing

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Profiling Astronomical Objects Using Unsupervised Learning Approach

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Computers, Materials & Continua 2023年第1期74卷 1641-1655页

作者： Theerapat Sangpetch Tossapon Boongoen Natthakan iam-On Center of Excellence in AI and Emerging Technologies School of Information TechnologyMae Fah Luang UniversityChiang Rai57100Thailand Department of Computer Science Aberystwyth UniversityAberystwythCeredigionUK

Attempts to determine characters of astronomical objects have been one of major and vibrant activities in both astronomy and data science *** of a manual inspection,various automated systems are invented to satisfy the need,including the classification of light curve profiles.A specific Kaggle competition,namely Photometric LSST Astronomical Time-Series Classification Challenge(PLAsTiCC),is launched to gather new ideas of tackling the abovementioned task using the data set collected from the Large Synoptic Survey Telescope(LSST)*** all proposed methods fall into the supervised family with a common aim to categorize each object into one of pre-defined *** this challenge focuses on developing a predictive model that is robust to classifying unseen data,those previous attempts similarly encounter the lack of discriminate features,since distribution of training and actual test datasets are largely *** a result,well-known classification algorithms prove to be sub-optimal,while more complicated feature extraction techniques may help to slightly boost the predictive *** such a burden,this research is set to explore an unsupervised alternative to the difficult quest,where common classifiers fail to reach the 50%accuracy mark.A clustering technique is exploited to transform the space of training data,from which a more accurate classifier can be *** addition to a single clustering framework that provides a comparable accuracy to the front runners of supervised learning,a multiple-clustering alternative is also introduced with improved *** fact,it is able to yield a higher accuracy rate of 58.32%from 51.36%that is obtained using a simple *** this difficult problem,it is rather good considering for those achieved by well-known models like support vector machine(SVM)with 51.80%and Naive Bayes(NB)with only 2.92%.

关键词： Astronomy sky survey light curve data classification data clustering

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Classification of Adversarial Attacks Using Ensemble Clustering Approach

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Computers, Materials & Continua 2023年第2期74卷 2479-2498页

作者： Pongsakorn Tatongjai Tossapon Boongoen Natthakan iam-On Nitin Naik Longzhi Yang Center of Excellence in AI&Emerging Technologies School of ITMae Fah Luang UniversityChiang RaiThailand Department of Computer Science Aberystwyth UniversityAberystwythUnited Kingdom School of Informatics and Digital Engineering Aston UniversityBirminghamUnited Kingdom Department of Computer and Information Sciences Northumbria UniversityNewcastleUnited Kingdom

As more business transactions and information services have been implemented via communication networks,both personal and organization assets encounter a higher risk of *** safeguard these,a perimeter defence likeNIDS(network-based intrusion detection system)can be effective for known *** has been a great deal of attention within the joint community of security and data science to improve machine-learning based NIDS such that it becomes more accurate for adversarial attacks,where obfuscation techniques are applied to disguise patterns of intrusive *** current research focuses on non-payload connections at the TCP(transmission control protocol)stack level that is applicable to different network *** contrary to the wrapper method introduced with the benchmark dataset,three new filter models are proposed to transform the feature space without knowledge of class *** ECT(ensemble clustering based transformation)techniques,i.e.,ECT-Subspace,ECT-Noise and ECT-Combined,are developed using the concept of ensemble clustering and three different ensemble generation strategies,i.e.,random feature subspace,feature noise injection and their *** on the empirical study with published dataset and four classification algorithms,new models usually outperform that original wrapper and other filter alternatives found in the *** is similarly summarized from the first experiment with basic classification of legitimate and direct attacks,and the second that focuses on recognizing obfuscated *** addition,analysis of algorithmic parameters,i.e.,ensemble size and level of noise,is provided as a guideline for a practical use.

关键词： Intrusion detection adversarial attack machine learning feature transformation ensemble clustering

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A Systematic Characterization of Structural Brain Changes in Schizophrenia

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Neuroscience Bulletin 2020年第10期36卷 1107-1122页

作者： wasana Ediri Arachchi Yanmin Peng Xi Zhang Wen Qin Chuanjun Zhuo Chunshui Yu Meng Liang School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging Tianjin Medical UniversityTianjin 300203China Department of Radiography and Radiotherapy Faculty of Allied Health SciencesGeneral Sir John Kotelawala Defence UniversityRatmalana 10390Sri Lanka Department of Radiology and Tianjin Key Laboratory of Functional Imaging Tianjin Medical University General HospitalTianjin 300052China Department of Psychiatric-Neuroimaging-Genetics and Comorbidity Laboratory Tianjin Mental Health CenterTianjin Anding HospitalTianjin 300222China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China

A systematic characterization of the similarities and differences among different methods for detecting structural brain abnormalities in schizophrenia,such as voxel-based morphometry(VBM),tensor-based morphometry(TBM),and projection-based thickness(PBT),is important for understanding the brain pathology in schizophrenia and for developing effective biomarkers for a diagnosis of ***,such studies are still ***,we performed VBM,TBM,and PBT analyses on T1-weighted brain MR images acquired from 116 patients with schizophrenia and 116 healthy *** found that,although all methods detected wide-spread structural changes,different methods captured different information-only 10.35%of the grey matter changes in cortex were detected by all three methods,and VBM only detected 11.36%of the white matter changes detected by ***,pattern classification between patients and controls revealed that combining different measures improved the classification accuracy(81.9%),indicating that fusion of different structural measures serves as a better neuroimaging marker for the objective diagnosis of schizophrenia.

关键词： Voxel-based morphometry Tensor-based morphometry Deformation-based morphometry Cortical thickness Multivariate pattern analysis Structural MRI Schizophrenia

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Genetic diversity of Leishmania donovani isolates from cutaneous lesions of military personnel in the Mullaitivu and Kilinochchi districts of the Northern Province,Sri Lanka

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Asian Pacific Journal of Tropical Medicine 2022年第9期15卷 418-424页

作者： Tharaka Wijerathna Nayana Gunathilaka Saveen Semege Nishantha Pathirana wasana Rodrigo Deepika Fernando Department of Parasitology Faculty of MedicineUniversity of KelaniyaRagamaSri Lanka Directorate of Army Preventive Medicine&Mental Health Services Army HeadquartersSri JayawardenepuraSri Lanka Sri Lanka Army Hospital ColomboSri Lanka Department of Zoology Faculty of Natural SciencesOpen University of Sri LankaNawalaNugegoda Department of Parasitology Faculty of MedicineUniversity of ColomboSri Lanka

Objective:To compare the DNA sequences of Leishmania(L.)donovani isolated from individuals in two districts of the Northern Province with other parts of Sri Lanka and neighboring ***:Samples were collected from military personnel at the Army Hospital,Narahenpita,Sri Lanka from November 2018 to March 2020.A portion of the samples was fixed,stained with Giemsa and observed under the light *** genomic The DNA was extracted from the remaining portion of the samples using DNEasy blood tissue kit(Qiagen,Germany)and amplified using Leishmania genus-specific primers for molecular diagnosis *** was amplified using *** species-specific primers by PCR and the amplified product was sequenced for comparison of nucleotide ***:Out of 76 suspected patients,at least one biological sample of 45(59.2%)was positive for *** upon ***,33(43.4%)were positive in Leishmania genus-specific PCR,but only 23(30.3%)were positive in *** specific *** dendrogram indicates that the current sequences clustered together with those from Nepal and Gampaha districts(Western Province),Sri Lanka,while the Indian and Eastern African sequences clustered ***:The genetic diversity was low among the isolates,indicating a single and possibly a local point of ***,the similarity of Sri Lankan and Nepal strains indicate a possibility of a shared point of origin,which needs more extensive evidence to confirm.

关键词： Leishmaniasis Sri Lanka Phylogenetics Kilinochchi Mullaitivu Northern Province

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