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Deep-BERT:Transfer Learning for Classifying Multilingual Offensive Texts on Social Media

Computer Systems Science & Engineering 2023年第2期44卷 1775-1791页

作者： Md.Anwar Hussen Wadud M.F.Mridha Jungpil Shin Kamruddin Nur aloke kumar saha Department of Computer Science and Engineering Bangladesh University of Business and TechnologyDhakaBangladesh School of Computer Science and Engineering University of AizuAizuwakamatsuJapan Department of Computer Science American International University-BangladeshDhakaBangladesh Department of Computer Science and Engineering University of Asia PacificDhakaBangladesh

Offensive messages on social media,have recently been frequently used to harass and criticize *** recent studies,many promising algorithms have been developed to identify offensive *** algorithms analyze text in a unidirectional manner,where a bidirectional method can maximize performance results and capture semantic and contextual information in *** addition,there are many separate models for identifying offensive texts based on monolin-gual and multilingual,but there are a few models that can detect both monolingual and multilingual-based offensive *** this study,a detection system has been developed for both monolingual and multilingual offensive texts by combining deep convolutional neural network and bidirectional encoder representations from transformers(Deep-BERT)to identify offensive posts on social media that are used to harass *** paper explores a variety of ways to deal with multilin-gualism,including collaborative multilingual and translation-based ***,the Deep-BERT is tested on the Bengali and English datasets,including the different bidirectional encoder representations from transformers(BERT)pre-trained word-embedding techniques,and found that the proposed Deep-BERT’s efﬁcacy outperformed all existing offensive text classiﬁcation algorithms reaching an accuracy of 91.83%.The proposed model is a state-of-the-art model that can classify both monolingual-based and multilingual-based offensive texts.

关键词： Offensive text classiﬁcation deep convolutional neural network(DCNN) bidirectional encoder representations from transformers(BERT) natural language processing(NLP)

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Investigation on the Trap Signature in Organic Semiconductor Turmeric Film Through Current-Voltage Analysis

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Transactions of Tianjin University 2020年第4期26卷 265-272页

作者： Kushal Chakraborty aloke kumar Das Ratan Mandal Dulal Krishna Mandal Department of Physics Jadavpur UniversityKolkata 700032India School of Energy Studies Jadavpur UniversityKolkata 700032India Department of Mechanical Engineering Jadavpur UniversityKolkata 700032India

The analytical description of the trap signature in the charge conduction process of turmeric dye-based organic semiconductor has been presented in this *** analytical explanation of the built-in potential Ⅴx-Ⅴ graph that emphasizes the presence of trapping states has been *** analysis of current-voltage(Ⅰ-Ⅴ)characteristics has also been conducted to verify the trap signature of the carrier in the *** non-monotonous decrement of the G(Ⅴ)-Ⅴ plot verifies the trap *** values of trap energy(Et)and trap factor(θ)have been derived from the logarithmic Ⅰ-Ⅴ *** the analysis of the semilogarithmic Ⅰ-Ⅴ plot,the barrier height(ϕbi)of the device has also been *** overallⅠ-Ⅴcurve has been taken into account to examine the Richardson-Schottky and Poole-Frenkel effects on the trap-assisted charge conduction *** the results of the experiment,the Schottky effect has been observed to be effective,which leads to a bulk-limited charge conduction process.

关键词： Organic semiconductor Trap energy Trap factor Turmeric Schottky effect

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Integrative assessment of biomarker responses in teleostean fishes exposed to glyphosate-based herbicide(Excel Mera 71)

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Emerging Contaminants 2016年第4期2卷 191-203页

作者： Sukhendu Dey Palas Samanta Sandipan Pal aloke kumar Mukherjee Debraj Kole Apurba Ratan Ghosh Ecotoxicology Lab Department of Environmental ScienceThe University of BurdwanGolapbagBurdwan 713104West BengalIndia Division of Environmental Science and Ecological Engineering Korea UniversityAnam-dongSungbuk-guSeoul 02841Republic of Korea Department of Environmental Science Aghorekamini Prakashchandra MahavidyalayaSubhasnagarBengaiHooghly 712611West BengalIndia P.G.Department of Conservation Biology Durgapur Govt.CollegeDurgapur 713214West BengalIndia

Present study deals with the effects of glyphosate-based herbicide,Excel Mera 71 on Anabas testudineus,Heteropnestes fossilis and Oreochromis niloticus in field conditions(1.85 kg/ha)based on anti-oxidative,metabolic and digestive *** this study following biomarkers viz.,acetylcholinesterase(AChE),lipid peroxidation(LPO),catalase(CAT),glutathione-S-transferase(GST),alkaline phosphatase(ALP),aspartate aminotransferase(AST),alanine aminotransferase(ALT),amylase,lipase and protease were investigated in gill,stomach,intestine,liver,kidney,brain,muscle and spinal cord of the concerned fish *** activities were significantly altered by glyphosate exposure after 30 days,these activities were tissue as well as species *** results suggested that these biomarkers could be used to assess the ecological risks of glyphosate on *** factor(BAF)studied in different aquatic natural macrophytes showed order of Alternanthera philoxeroides>Azolla pinnata>Lemna sp.(Minor)>Lemna sp.(Major)>Pistia stratiotes,while transfer factor(TF)showed the order of Pistia stratiotes>Alternanthera philoxeroides>Lemna *** factor(BCF)study showed maximum accumulation of glyphosate in liver,kidney or intestine,and minimum either in bone or stomach irrespective of fish *** integrated biomarker response(IBR),which uses a battery of biomarkers to calculate the standardized scores for each biomarker responses ranging from physiological to biochemical/molecular responses,was evaluated by combining the multiple biomarkers into a single value to evaluate quantitatively the toxicological effects of *** general,the multiple indices exhibited variations and *** was more affected than other fish species;maximum IBR value was observed for LPO and minimum in case of *** order of integrated biomarkers caused by glyphosate treatment was recorded as follows:LPO>Amylase>CAT>AST>Protease>Lipase>ALP>GST>AChE>ALT for ***,LP

关键词： Excel Mera 71 Biomarker Bioaccumulation factor(BAF) Bioconcentration factor(BCF) Transfer factor(TF) Integrated biomarker response(IBR)

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Experimental Study of Heat Transfer for a Rotating Cylinder Water Jet Impingement Quenching

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Journal of Energy and Power Engineering 2013年第3期7卷 411-422页

作者： Mozumder aloke kumar Mitsutake Yuichi Monde Masanori Institute of Ocean Energy Saga University Saga 840-8502 Japan Department of Mechanical Engineering Saga University Saga 840-8502 Japan

Transient heat transfer has been experimentally investigated for subcooled water jet impingement quenching of a hot rotating stainless steel cylinder. Temperatures beneath the impinged surface were measured during quenching and used to estimate surface temperature and surface heat flux by using a developed numerical inverse solution of heat conduction. Heat flux reached its maximum value just after the WF (wetting front) (visible leading edge of boiling region) started moving from stagnation towards the circumferential region. WF moved in a non-uniform manner in angular direction on the hot rotating surface. With the increase of surface velocity, heat flux decreased. Higher surface velocity moved away the produced vapor bubbles and reduced the solid-liquid contact time which made it one-dimensional heat conduction from multi-dimensional, that reduced heat flux. The generated boiling curve from the estimated heat flux showed a reasonable agreement with existing studies. The surface maximum heat flux (maximum value in each cycle) distribution trend with radial position is entirely comparable with the static surface critical heat flux in literature. An explosive to a sheet like flow patterns were observed with the decrease of surface temperature. The flow patterns were followed by the intensity of sound during quenching.

关键词：淬火过程射流冲击传热实验临界热通量表面温度转缸水表面速度

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