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A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTM

Computers, Materials & Continua 2024年第3期78卷 3089-3127页

作者： Navaneetha Krishnan Muthunambu Senthil Prabakaran Balasubramanian Prabhu Kavin Kishore Senthil Siruvangur Kavitha Chinnadurai Jehad Ali Department of Computer Applications Karpagam College of EngineeringCoimbatore641032India Department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Data Science and Business Systems College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyJeppiaar NagarRajiv Gandhi SalaiChennai600119India Department of AI Convergence Network Ajou UniversitySuwon16499Korea

The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the ***,this development has expanded the potential targets that hackers might *** adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or *** identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious *** research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)*** proposed model can identify various types of cyberattacks,including conventional and distinctive *** networks,a specific kind of feedforward neural networks,possess an intrinsic memory *** Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended *** such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual *** are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection *** model utilises Recurrent Neural Networks,specifically exploiting LSTM *** proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.

关键词： Cybersecurity intrusion detection machine learning leveraging long short-term memory(LLSTM) CICIDS2019 dataset innovative cyberattacks

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Bone metastases from primary hepatocellular carcinoma simulating multiple myeloma

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Hepatobiliary & Pancreatic Diseases International 2005年第2期4卷 308-310页

作者： Dinesh Chandra Doval Komal Bhatia Ashok Kumar Vaid Kumar Prabhash Amarnath Jena Digant Hazarika departments of Medical Oncology New Delhi India departments of Medical Oncology rajiv gandhi cancer institute and research center Rohini Sector-5 Delhi 110085 India departments of MRI rajiv gandhi cancer institute and research center Rohini Sector-5 Delhi 110085 India departments of pathology rajiv gandhi cancer institute and research center Rohini Sector-5 Delhi 110085 India

A 65-year-old man presented with bone pains and anemia. Skull X-ray revealed multiple osteolytic lesions. The pa- tient was evaluated for multiple myeloma but detailed workup revealed the diagnosis of primary hepatocellular carcinoma (HCC) with osteolytic bone metastases. Thus, bone metastases due to HCC, although rare, should be considered in patients presenting with bone pains due to os- teolytic lesions.

关键词： hepatocellular carcinoma bone metastases multiple myeloma

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Multimodality management of gallbladder cancer can lead to a better outcome:Experience from a tertiary care oncology centre in North India

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World Journal of Gastroenterology 2021年第45期27卷 7813-7830页

作者： Shaifali Goel Abhishek Aggarwal Assif Iqbal Vineet Talwar Swarupa Mitra Shivendra Singh Department of GI and HPB Oncosurgery Rajiv Gandhi Cancer Institute and Research CenterDelhi 110085DelhiIndia Department of Medical Oncology Rajiv Gandhi Cancer Institute and Research CenterDelhi 110085DelhiIndia Department of Radiation Oncology Rajiv Gandhi Cancer Institute and Research CenterDelhi 110085DelhiIndia

BACKGROUND Surgical resection is a treatment of choice for gallbladder cancer(GBC)patients but only 10%of patients have a resectable disease at *** after surgical resection,overall survival(OS)has been poor due to high rates of *** of surgery and systemic therapy can improve outcomes in this aggressive *** To summarize our single-center experience with multimodality management of resectable GBC *** Data of all patients undergoing surgery for suspected GBC from January 2012 to December 2018 was retrieved from a prospectively maintained electronic *** extracted included demographics,operative and perioperative details,histopathology,neoadjuvant/adjuvant therapy,follow-up,and *** know the factors associated with recurrence and OS,univariate and multivariate analysis was done using log rank test and cox proportional hazard analysis for categorical and continuous variables,*** analysis was done using multiple regression *** Of 274 patients with GBC taken up for surgical resection,172(62.7%)were female and the median age was 56 *** exploration,102 patients were found to have a metastatic or unresectable disease(distant metastasis in 66 and locally unresectable in 34).Of 172 patients who finally underwent surgery,93(54%)underwent wedge resection followed by anatomical segment IVb/V resection in 66(38.4%)and modified extended right hepatectomy in 12(7%)*** postoperative mortality at 90 d was 4.6%.During a median follow-up period of 20 mo,71(41.2%)patients developed *** 1-,3-,and 5-years OS rates were 86.5%,56%,and 43.5%,*** 1-and 3-year disease free survival(DFS)rates were 75%and 49.2%,*** multivariate analysis,inferior OS was seen with pT3/T4 tumor(P=0.0001),perineural invasion(P=0.0096),and R+resection(P=0.0125).However,only pT3/T4 tumors were associated with a poor DFS(P<0.0001).CONCLUSION Multim

关键词： Gallbladder cancer Multimodality Surgical resection Adjuvant Chemotherapy Chemoradiotherapy

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Breast carcinoma with metastasis to the gallbladder:an unusual case report with a short review of literature

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Hepatobiliary & Pancreatic Diseases International 2006年第2期5卷 305-307页

作者： Dinesh C Doval Komal Bhatia Keechelat Pavithran Jai Bhagwan Sharma Ashok K Vaid Digant Hazarika Department of Medical Oncology rajiv gandhi cancer institute and research Centre Rohini Sector-5 Delhi-110085India Department of pathology rajiv gandhi cancer institute and research Centre Rohini Sector-5 Delhi-110085India

Gallbladder metastases are very rare and usually arise from malignant melanoma, renal cell carcinoma and cervical carcinoma. Breast carcinoma tnetastatic to the gallbladder is extremely rare and only 4 cases have been reported in the English literature. We hereby report a 54-year-old lady who was diagnosed as having breast carcinoma and underwent modified radical mastectomy. One month after the operation, she developed acute abdomenal pain and underwent cholecystectomy after clinical investigation. Histopathological examination revealed metastasis to the gallbladder. Being considered a patient with tnetastatic breast carcinoma she was subjected to taxane and anthracycline-based palliative chemotherapy. Later she had CNS involvement and died of the progressive disease soon after few months.

关键词： gallbladder metastases breast

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Spinal cord compression secondary to bone metastases from hepatocellular carcinoma

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World Journal of Gastroenterology 2006年第32期12卷 5247-5252页

作者： Dinesh Chandra Doval Komal Bhatia Ashok Kumar Vaid Keechelat Pavithran Jai Bhagwan Sharma Digant Hazarika Amarnath Jena Department of Medical Oncology rajiv gandhi cancer institute and research Centre Rohini Sector- 5Delhi-110085India Department of pathology rajiv gandhi cancer institute and research Centre Rohini Sector- 5Delhi-110085India Department of Nuclear Medicine rajiv gandhi cancer institute and research Centre Rohini Sector- 5Delhi-110085India

骨头转移在主要肝细胞癌(HCC ) 是稀罕的。脊髓压缩(SCC ) 由于骨头，转移与肺和胸在病人通常发生癌，和变形 HCC 是 SCC 的一个不平常的原因。脊髓压缩是一种 oncologic 紧急情况，治疗延期能导致不可逆的后果。因此， SCC 能由于 HCC... 详细信息

骨头转移在主要肝细胞癌(HCC ) 是稀罕的。脊髓压缩(SCC ) 由于骨头，转移与肺和胸在病人通常发生癌，和变形 HCC 是 SCC 的一个不平常的原因。脊髓压缩是一种 oncologic 紧急情况，治疗延期能导致不可逆的后果。因此， SCC 能由于 HCC 是骨头转移的潜在的复杂并发症的了解具有在能改进生命的质量和病人的幸存的早治疗的开始的意义，如果更早诊断了。这篇论文由于骨头转移与 SCC 的改变的表明描述主要 HCC 的四个盒子。首先与相应于骨头转移地点的骨头疼痛的症状而非联系肝的病理并且最后的症状介绍的第一个病人开发了 SCC。第二个病人，作为有 HCC 诊断了，在病，他与以后的固定为经历了紧急情况椎板切除术的功课期间导致截瘫的发达额外的硬脑膜的 SCC。第三个病人此后不久开发了 SCC 主要诊断并且不得不经历紧急情况椎板切除术。波斯特椎板切除术他有好神经病学的恢复。作为 SCC 的第一表明首先根的疼痛而非坦率的截瘫地介绍的第四个病人。

关键词：脊柱压缩骨移位肝细胞癌临床治疗

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Stem cell therapy: A paradigm shift in breast cancer treatment

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World Journal of Stem Cells 2021年第7期13卷 841-860页

作者： Sabiha Khan Moushumi Suryavanshi Jasamrit Kaur Debadatta Nayak Anil Khurana Raj Kumar Manchanda Chanderdeep Tandon Simran Tandon Amity institute of Molecular Medicine and Stem Cell research Amity UniversityNoida 201313Uttar PradeshIndia Department of pathology Rajiv Gandhi Cancer Institute and Research CentreNew Delhi 110085India Department of Chemistry Goswami Ganesh Dutta Sanatan Dharma CollegeChandigarh 160030India Central Council for research in Homeopathy New Delhi 110058India Department of AYUSH Karol BaghNew Delhi 110011India Amity institute of Biotechnology Amity UniversityNoida 201313Uttar PradeshIndia

As per the latest Globocan statistics,the high prevalence rate of breast cancer in low-and middle-income countries has led to it becoming the most common cancer to be diagnosed,hence posing a major public health *** per this data,more than 11.7%of the estimated new cancer cases in 2020 were due to breast cancer.A small but significant subpopulation of cells with self-renewing ability are present in the tumor stroma and have been given the nomenclature of cancer stem cells(CSCs).These cells display a high degree of plasticity owing to their ability to transition from the slowly cycling quiescent phase to the actively proliferating *** attribute of CSCs allows them to differentiate into various cell types having diverse *** CSCs have a pivotal role in development,metastasis,treatment resistance and relapse of breast *** review focuses on the pathways regulating breast CSC maintenance and the current strategies that are being explored for directing the development of novel,targeted,therapeutic approaches for limiting and eradicating this aberrant stem cell population.

关键词： Molecular genomics Breast cancer stem cells Tumor microenvironment Molecular pathways Targeted therapy Inhibitors

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Foliar fungal disease classification in banana plants using elliptical local binary pattern on multiresolution dual tree complex wavelet transform domain

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Information Processing in Agriculture 2021年第4期8卷 581-592页

作者： Deepthy Mathew C.Sathish Kumar KAnita Cherian Department of Electronics and Communication Engineering Rajiv Gandhi Institute of TechnologyAPJ Abdul Kalam Technological UniversityKottayam 686501India Department of Electronics and Communication Engineering Government Engineering CollegeIdukki 685603India Department of Plant pathology College of HorticultureKerala Agricultural UniversityThrissur 680656India

The fungal diseases in banana cause major yield losses for millions of farmers around the *** detection of these diseases helps the farmers to devise successful management *** characteristic leaf blade discoloration pattern at the earlier stages of infection could be used to understand the onset of each *** paper demonstrates a methodology for classification of three important foliar diseases in banana,using local texture *** disease affected regions are identified using image enhancement and color *** images are converted to transform domain using three image transforms(DWT,DTCWT and Ranklet transform).Feature vector is extracted from transform domain images using LBP and its variants(ELBP,MeanELBP and MedianELBP).These texture based features are applied to five popular image classifiers and comparative performance analysis is done using ten-fold cross validation *** results showed best classification performance for ELBP features extracted from DTCWT domain(accuracy 95.4%,precision 93.2%,sensitivity 93.0%,Fscore 93.0%and specificity 96.4%).Compared with traditional methods of feature extraction,this novel method of fusing DTCWT with ELBP features has attained high degree of accuracy in precisely detecting and classifying fungal diseases in banana at an early stage.

关键词： Musa Plant disease classification Texture features Local binary pattern DWT Image classifiers

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Force degradation behavior of glucocorticoid deflazacort by UPLC：isolation,identification and characterization of degradant by FTIR,NMR and mass analysis

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The Journal of Biomedical research 2016年第2期30卷 149-161页

作者： Rajesh Deshmukh Lata Sharma Muktika Tekade Prashant Kesharwani Piyush Trivedi Rakesh K.Tekade Macleods Pharmaceuticals Ltd. Kachigam Daman 396320 India School of Pharmaceutical Science Rajiv Gandhi Prodyogiki Vishwavidyalaya Gandhi Nagar Bhopal 462036 India TIT College of Pharmacy Technocrats Institute of Technology Anand Nagar Bhopal 462021 India Department of Pharmaceutical Sciences Eugene Applebaum College of Pharmacy and Health Sciences Wayne State University Detroit MI 48201 USA The University of Texas Southwestern Medical center Advanced Imaging Research Center Dallas TX 75390 USA The International Medical University School of Pharmacy Department of Pharmaceutical Technology Kuala Lumpur57000 Malaysia

In this investigation,sensitive and reproducible methods are described for quantitative determination of deflazacort in the presence of its degradation *** method was based on high performance liquid chromatography of the drug from its degradation product on reverse phase using Acquity UPLC BEH C18columns（1.7 urn,2.1 mm ×150 mm） using acetonitrile and water（40：60 V/V） at a flow rate of 0.2 mL/minute in *** detection was performed at 240.1 *** was subjected to oxidative,acid,base,hydrolytic,thermal and photolytic *** drug was found to be stable in water and thermal stress,as well as under neutral stress ***,forced-degradation study performed on deflazacort showed that the drug degraded under alkaline,acid and photolytic *** degradation products were well resolved from the main peak,which proved the stability-indicating power of the *** developed method was validated as per ICH guidelines with respect to accuracy,linearity,limit of detection,limit of quantification,accuracy,precision and robustness,selectivity and *** from the aforementioned,the results of the present study also emphasize the importance of isolation characterization and identification of ***,an attempt was made to identify the degradants in *** of the degradation products of deflazacort was isolated and identified by the FTIR,NMR and LC-MS study.

关键词： Deflazacort forced degradation degradant characterization

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Fungal diversity notes 1611-1716: taxonomic and phylogenetic contributions on fungal genera and species emphasis in south China

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Fungal Diversity 2023年第5期122卷 161-403页

作者： Indunil C.Senanayake Walter Rossi Marco Leonardi Alex Weir Mark McHugh Kunhiraman C.Rajeshkumar Rajnish K.Verma Samantha C.Karunarathna Saowaluck Tibpromma Nikhil Ashtekar Sreejith K.Ashtamoorthy Sanjay Raveendran Gurmeet Kour Aishwarya Singh Saúl De la Peña-Lastra Antonio Mateos Miroslav Kolařík Vladimír Antonín HanaŠevčíková Fernando Esteve-Raventós Ellen Larsson Fermín Pancorbo Gabriel Moreno Alberto Altés Yolanda Turégano Tian-Ye Du Li Lu Qi-Rui Li Ji-Chuan Kang Sugantha Gunaseelan Kezhocuyi Kezo Malarvizhi Kaliyaperumal Jizhen Fu Milan C.Samarakoon Yusufjon Gafforov Shakhnoza Teshaboeva Pradeep C.Kunjan Arya Chamaparambath Adam Flakus Javier Etayo Pamela Rodriguez-Flakus Mikhail P.Zhurbenko Nimali Ide Silva Danushka S.Tennakoon KPDeepna Latha Patinjareveettil Manimohan KNAnil Raj Mark S.Calabon Abdollah Ahmadpour Zeinab Heidarian Zahra Alavi Fatemeh Alavi Youbert Ghosta Razmig Azizi Mei Luo Min-Ping Zhao Nuwan D.Kularathnage Li Hua Yun-Hui Yang Chun-Fang Liao Hai-Jun Zhao Anis S.Lestari Subashini C.Jayasiri Feng-Ming Yu Lei Lei Jian-Wei Liu Omid Karimi Song-Ming Tang Ya-Ru Sun Yong Wang Ming Zeng Zin H.Htet Benedetto T.Linaldeddu Artur Alves Alan J.L.Phillips Carlo Bregant Lucio Montecchio AndréDe Kesel Vincent P.Hustad Andrew N.Miller Anna G.Fedosova Viktor Kučera Mubashar Raza Muzammil Hussain Yan-Peng Chen Vinodhini Thiyagaraja Deecksha Gomdola Achala R.Rathnayaka Asha J.Dissanayake Nakarin Suwannarach Sinang Hongsanan Sajeewa S.N.Maharachchikumbura Lakmali S.Dissanayake Nalin N.Wijayawardene Rungtiwa Phookamsak Saisamorn Lumyong E.B.Gareth Jones Neelamanie Yapa Dhanushka N.Wanasinghe Ning Xie Mingkwan Doilom Ishara S.Manawasinghe Jian-Kui(Jack)Liu Qi Zhao Biao Xu Kevin D.Hyde Jiage Song Innovative institute for Plant Health/Key Laboratory of Green Prevention and Control On Fruits and Vegetables in South China Ministry of Agriculture and Rural AffairsZhongkai University of Agriculture and EngineeringHaizhu DistrictGuangzhou 510225GuangdongChina center of Excellence in Fungal research Mae Fah Luang UniversityChiang Rai 57100Thailand Guangdong Provincial Key Laboratory for Plant Epigenetics College of Life Science and OceanographyShenzhen University3688Nanhai AvenueNanshanShenzhen 518055GuangdongChina Sect.Environmental Sciences Department MeSVAUniversity of L’AquilaVia Vetoio67100 CoppitoAQItaly Department of Environmental Biology SUNY-ESF241 Illick Hall1 Forestry DriveSyracuseNY 13210USA National Fungal Culture Collection of India MACS Agharkar Research InstitutePuneMaharashtra 411004India Department of Plant pathology Punjab Agricultural UniversityLudhianaPunjab 141004India center for Yunnan Plateau Biological Resources Protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujing 655011YunnanChina Department of Forest Ecology Kerala Forest Research InstitutePeechiThrissurKerala 680653India Department of Botany The American CollegeTallakkulamMaduraiTamil Nadu 625002India Department of Zoology Savitribai Phule Pune UniversityGaneshkhind RdGaneshkhindPuneMaharashtra 411007India University of Santiago de Compostela 15782 Santiago de CompostelaSpain Sociedad Micológica Extremeña C/Sagitario 1410001 CáceresSpain institute of Microbiology of the Czech Academy of Sciences Vídeňská108314220 Prague 4Czech Republic Department of Botany Moravian MuseumZelnýtrh 665937 BrnoCzech Republic Department of Life Sciences(Botany Unit) University of Alcalá28805 Alcaláde HenaresMadridSpain Biological and Enviromental Sciences University of Gothemburgand Gothemburg Global Biodiversity CentreBox 46140530 GöteborgSweden Madrid Mycological Society Real Jardín BotánicoC/Claudio Moyano 128014 MadridSpain State Ke

This article is the 15th contribution in the Fungal Diversity Notes series,wherein 115 taxa from three phyla,nine classes,28 orders,48 families,and 64 genera are *** taxa described and illustrated in the present study include a new family,five new genera,61 new species,five new combinations,one synonym,one new variety and 31 records on new hosts or new geographical *** *** introduced and accommodated in *** new genera introduced in this study are Ageratinicola,Kevinia,Pseudomultiseptospora(Parabambusicolaceae),Marasmiellomycena,and Vizzinia(Porotheleaceae).Newly described species are Abrothallus altoandinus,Ageratinicola kunmingensis,Allocryptovalsa aceris,Allophoma yuccae,Apiospora cannae,***,***,Boeremia wisteriae,Calycina papaeana,Clypeo-coccum lichenostigmoides,Coniochaeta riskali-shoyakubovii,Cryphonectria kunmingensis,Diaporthe angustiapiculata,***,***,Diatrypella guangdongense,Dothiorella franceschinii,Endocalyx phoenicis,Epicoc-cum terminosporum,Fulvifomes karaiensis,***,Ganoderma ghatensis,Hysterobrevium baoshanense,Inocybe avellaneorosea,***,Jahnula oblonga,Kevinia lignicola,Kirschsteiniothelia guangdongensis,Laboulbenia caprina,***,***,***,***,***,***,***,***,Laccaria rubriporus,Lasiodiplodia morindae,Lyophyllum agnijum,Marasmiellomycena pseudoomphaliiformis,Melomastia beihaiensis,Nemania guangdongensis,Nigrograna thailandica,Nigrospora ficuum,Oxydothis chinensis,***,Petriella thailandica,Phaeoacremonium chinensis,Phialocephala chinensis,Phytophthora debattistii,Polyplosphaeria nigrospora,Pronectria loweniae,Seriascoma acutispora,Setoseptoria bambusae,Stictis anomianthi,Tarzetta tibetensis,Tarzetta urceolata,Tetraploa obpyriformis,Trichoglossum beninense,and Tricoderma *** provide an emendation for Urnula ailaoshanensis Agaricus duplocingulatoides *** i

关键词： Agaricomycetes Ascomycota Basidiomycota Dothideomycetes Eurotiomycetes Fungal diversity Geoglossomycetes Geographical distribution Host records Incertae sedis Laboulbeniomycetes Lecanoromycetes Leotiomycetes Novel taxa New combination Oomycota Peronosporea Pezizomycetes Phylogeny Sordariomycetes South Chinese fungi Taxonomy

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Fungal diversity notes 1512–1610: taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2022年第6期117卷 1-272页

作者： Ruvishika S.Jayawardena Kevin D.Hyde Song Wang Ya‑Ru Sun Nakarin Suwannarach Phongeun Sysouphanthong Mohamed A.Abdel‑Wahab Faten A.Abdel‑Aziz Pranami D.Abeywickrama Vanessa P.Abreu Alireza Armand AndréAptroot Dan‑Feng Bao Dominik Begerow Jean‑Michel Bellanger Jadson D.P.Bezerra Digvijayini Bundhun Mark S.Calabon Ting Cao Taimy Cantillo João LVRCarvalho Napalai Chaiwan Che‑Chih Chen Régis Courtecuisse Bao‑Kai Cui Ulrike Damm Cvetomir M.Denchev Teodor T.Denchev Chun Y.Deng Bandarupalli Devadatha Nimali Ide Silva Lidiane Ados Santos Nawal K.Dubey Sylvain Dumez Himashi SFerdinandez André L.Firmino Yusufon Gaforov Achala J.Gajanayake Deecksha Gomdola Sugantha Gunaseelan Shucheng‑He Zin H.Htet Malarvizhi Kaliyaperumal Martin Kemler Kezhocuyi Kezo Nuwan DKularathnage Marco Leonardi Ji‑Peng Li Chunfang Liao Shun Liu Michael Loizides Thatsanee Luangharn Jian Ma Hugo Madrid S.Mahadevakumar Sajeewa S.N.Maharachchikumbura Dimuthu S.Manamgoda María P.Martín Niranjan Mekala Pierre‑Arthur Moreau Yan‑Hong Mu Pasouvang Pahoua Dhandevi Pem Olinto L.Pereira Wiphawanee Phonrob Chayanard Phukhamsakda Mubashar Raza Guang‑Cong Ren Andrea C.Rinaldi Walter Rossi Binu C.Samarakoon Milan CSamarakoon Vemuri V.Sarma Indunil C.Senanayake Archana Singh Maria F.Souza Cristina M.Souza‑Motta Adriano A.Spielmann Wenxin Su Xia Tang XingGuo Tian Kasun M.Thambugala Naritsada Thongklang Danushka S.Tennakoon Nopparat Wannathes DingPeng Wei Stéphane Welti Subodini N.Wijesinghe Hongde Yang Yunhui Yang Hai‑Sheng Yuan Huang Zhang Jingyi Zhang Abhaya Balasuriya Chitrabhanu SBhunjun Timur S.Bulgakov Lei Cai Erio Camporesi Putarak Chomnunti Y.S.Deepika Mingkwan Doilom Wei‑Jun Duan Shi‑Ling Han Naruemon Huanraluek EBGareth Jones NLakshmidevi Yu Li Saisamorn Lumyong Zong‑Long Luo Surapong Khuna Jaturong Kumla Ishara S.Manawasinghe Ausana Mapook Wilawan Punyaboon Saowaluck Tibpromma Yong‑Zhong Lu JiYe Yan Yong Wang center of Excellence in Fungal research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Innovative institute for Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225P.R.China Department of Plant pathology College of AgricultureGuizhou UniversityGuiyang 550025GuizhouChina research center of Microbial Diversity and Sustainable Utilization Chiang Mai UniversityChiang Mai 50200Thailand Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Biotechnology and Ecology institute Ministry of Agriculture and ForestryP.O.Box:811Vientiane CapitalLao PDR Department of Botany and Microbiology Faculty of ScienceSohag UniversitySohag 82524Egypt Beijing Key Laboratory of Environment-Friendly Management on Fruit Diseases and Pests in North China Institute of Plant ProtectionBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China Departamento de Fitopatologia Universidade Federal de ViçosaViçosaMinas GeraisBrazil Laboratório de Botânica/Liquenologia Instituto de BiociênciasUniversidade Federal de Mato Grosso do SulAvenida Costa e Silva S/NBairro UniversitárioCampo GrandeMato Grosso do Sul CEP 79070-900Brazil College of Agriculture and Biological Sciences Dali UniversityDali 671003YunnanChina Department of Entomology and Plant pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand institute of Plant Science and Microbiology Universität HamburgOrganismic Botany and MycologyOhnhorststr.1822609 HamburgGermany CEFE CNRSUniv.MontpellierEPHEIRDINSERM1919Route de Mende34293 Montpellier Cedex 5France Setor de Micologia Departamento de Biociências e TecnologiaInstituto de Patologia Tropical e Saúde PúblicaUniversidade Federal de GoiásRua 235S/NSetor UniversitárioGoiâniaGO CEP:74605-050Brazil Division of Biological Sciences College of Arts and SciencesUniversity of the Philippines Visayas5023 MiagaoIloiloPhilippines CA

This article is the 14th in the Fungal Diversity Notes series,wherein we report 98 taxa distributed in two phyla,seven classes,26 orders and 50 families which are described and *** in this study were collected from Australia,Brazil,Burkina Faso,Chile,China,Cyprus,Egypt,France,French Guiana,India,Indonesia,Italy,Laos,Mexico,Russia,Sri Lanka,Thailand,and *** are 59 new taxa,39 new hosts and new geographical distributions with one new *** 59 new species comprise Angustimassarina kunmingense,Asterina lopi,Asterina brigadeirensis,Bartalinia bidenticola,Bartalinia caryotae,Buellia pruinocalcarea,Coltricia insularis,Colletotrichum fexuosum,Colletotrichum thasutense,Coniochaeta caraganae,Coniothyrium yuccicola,Dematipyriforma aquatic,Dematipyriforma globispora,Dematipyriforma nilotica,Distoseptispora bambusicola,Fulvifomes jawadhuvensis,Fulvifomes malaiyanurensis,Fulvifomes thiruvannamalaiensis,Fusarium purpurea,Gerronema atrovirens,Gerronema favum,Gerronema keralense,Gerronema kuruvense,Grammothele taiwanensis,Hongkongmyces changchunensis,Hypoxylon inaequale,Kirschsteiniothelia acutisporum,Kirschsteiniothelia crustaceum,Kirschsteiniothelia extensum,Kirschsteiniothelia septemseptatum,Kirschsteiniothelia spatiosum,Lecanora immersocalcarea,Lepiota subthailandica,Lindgomyces guizhouensis,Marthe asmius pallidoaurantiacus,Marasmius tangerinus,Neovaginatispora mangiferae,Pararamichloridium aquisubtropicum,Pestalotiopsis piraubensis,Phacidium chinaum,Phaeoisaria goiasensis,Phaeoseptum thailandicum,Pleurothecium aquisubtropicum,Pseudocercospora vernoniae,Pyrenophora verruculosa,Rhachomyces cruralis,Rhachomyces hyperommae,Rhachomyces magrinii,Rhachomyces platyprosophi,Rhizomarasmius cunninghamietorum,Skeletocutis cangshanensis,Skeletocutis subchrysella,Sporisorium anadelphiae-leptocomae,Tetraploa dashaoensis,Tomentella exiguelata,Tomentella fuscoaraneosa,Tricholomopsis lechatii,Vaginatispora favispora and Wetmoreana *** new combin

关键词： 59 New taxa 39 New records Ascomycota Basidiomycota Dothideomycetes Lecanoromycetes Leotiomycetes Sordariomycetes Ustilaginomycotina

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