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A Weighted Multi-Layer Analytics Based Model for Emoji Recommendation

Computers, Materials & Continua 2024年第1期78卷 1115-1133页

作者： Amira M.Idrees abdul lateef Marzouq Al-Solami Faculty of Computers and Information Technology Future University in EgyptCairo11835Egypt Alkamil College of Science and Arts University of JeddahJeddah21959Saudi Arabia

The developed system for eye and face detection using Convolutional Neural Networks(CNN)models,followed by eye classification and voice-based assistance,has shown promising potential in enhancing accessibility for individuals with visual *** modular approach implemented in this research allows for a seamless flow of information and assistance between the different components of the *** research significantly contributes to the field of accessibility technology by integrating computer vision,natural language processing,and voice *** leveraging these advancements,the developed system offers a practical and efficient solution for assisting blind *** modular design ensures flexibility,scalability,and ease of integration with existing assistive ***,it is important to acknowledge that further research and improvements are necessary to enhance the system’s accuracy and ***-tuning the CNN models and expanding the training dataset can improve eye and face detection as well as eye classification ***,incorporating real-time responses through sophisticated natural language understanding techniques and expanding the knowledge base of ChatGPT can enhance the system’s ability to provide comprehensive and accurate ***,this research paves the way for the development of more advanced and robust systems for assisting visually impaired *** leveraging cutting-edge technologies and integrating them into amodular framework,this research contributes to creating a more inclusive and accessible society for individuals with visual *** work can focus on refining the system,addressing its limitations,and conducting user studies to evaluate its effectiveness and impact in real-world scenarios.

关键词： Social networks text analytics emoji prediction features extraction information retrieval

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Life History and Biology of the Elm Bark Beetle Scolytus kashmirensisSchedl (Coleoptera: Curculionidae: Scolytinae) Infesting Ulmus villosain Kashmir

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Open Journal of Forestry 2015年第4期5卷 443-453页

作者： abdul lateef Khanday abdul A. Buhroo Postgraduate Department of Zoology University of Kashmir Srinagar India

Elm bark beetle Scolytus kashmirensis is a key pest of elm nurseries in the social forestry ecosystem of Kashmir. The biological and morphological characters of this species were determined both in field and in the laboratory. The larvae remained inactive throughout the winter which resumed their activity from the third week of March. Pupation started from the first week of April and the first swarming adults appeared from the last week of April. After emergence, the adults fly to suitable trees and undergo maturation feeding for 8.4 (±0.68 SD) days and females laid 46 (±9.45 SD) eggs on an average. The eggs hatched after an incubation period of 11 - 13 days. The five larval instars were distinguished from each other on the basis of the width of head capsule measurements. The larvae completed their development in 40 - 46 days. The pupal stage lasted for 10 - 20 days and finally adults emerge that lived for 45 - 60 days. The single longitudinal maternal gallery measured 42.67 (±11.07 SD) mm (on average) long and the larval gallery was 43 (±10.96 SD) mm (on average) in length. The seasonal distribution of various life stages and the number of generations were also recorded.

关键词： Biology Morphology Scolytus kashmirensis Ulmus villosa Gallery Pattern

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Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression(SVR)with GWO,BAT and COA algorithms

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Geoscience Frontiers 2021年第3期12卷 384-398页

作者： abdul-lateef Balogun Fatemeh Rezaie Quoc Bao Pham Ljubomir Gigović Siniša Drobnjak Yusuf AAina Mahdi Panahi Shamsudeen Temitope Yekeen Saro Lee Geospatial Analysis and Modelling(GAM)Research Group Department of Civil&Environmental EngineeringUniversitit Teknologi PETRONS(UTP)Seri Iskandar 32610PerakMalaysia Geoscience Platform Research Division Korea Institute of Geoscience and Mineral Resources(KIGAM)124Gwahak-ro Yuseong-guDaejeon 34132Republic of Korea Department of Geophysical Exploration Korea University of Science and Technology217 Gajeong-ro Yuseong-guDaejeon 34113Republic of Korea Institute of Research and Development Duy Tan UniversityDanang 550000Vietnam Department of Geography University of Defence11000 BelgradeSerbia Military Geographical Institute 11000 BelgradeSerbia Department of Geomatics Engineering Technology Yanbu Industrial CollegeYanbuSaudi Arabia Division of Science Education College of Education#4–301Gangwondaehak-gil Chuncheon-siKangwon National UniversityGangwon-do 24341Republic of Korea Faculty of Environmental and Chemical Engineering Duy Tan UniversityDanang 550000Vietnam

In this study,we developed multiple hybrid machine-learning models to address parameter optimization limitations and enhance the spatial prediction of landslide susceptibility *** created a geographic information system database,and our analysis results were used to prepare a landslide inventory map containing 359 landslide events identified from Google Earth,aerial photographs,and other validated sources.A support vector regression(SVR)machine-learning model was used to divide the landslide inventory into training(70%)and testing(30%)*** landslide susceptibility map was produced using 14 causative *** applied the established gray wolf optimization(GWO)algorithm,bat algorithm(BA),and cuckoo optimization algorithm(COA)to fine-tune the parameters of the SVR model to improve its predictive *** resultant hybrid models,SVR-GWO,SVR-BA,and SVR-COA,were validated in terms of the area under curve(AUC)and root mean square error(RMSE).The AUC values for the SVR-GWO(0.733),SVR-BA(0.724),and SVR-COA(0.738)models indicate their good prediction rates for landslide susceptibility ***-COA had the greatest accuracy,with an RMSE of 0.21687,and SVR-BA had the least accuracy,with an RMSE of *** three optimized hybrid models outperformed the SVR model(AUC=0.704,RMSE=0.26689),confirming the ability of metaheuristic algorithms to improve model performance.

关键词： Landslide Machine learning Metaheuristic Spatial modeling Support vector regression

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Effects of different levels of urea supplementation on nutrient intake and growth performance in growing camels fed roughage based complete pellet diets

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Animal Nutrition 2015年第4期1卷 356-361页

作者： Ntiranyibagira Emmanuel Niteen V.Patil Shekbar R.Bhagwat abdul lateef Kang Xu Hongnan Liu Faculté d’Agronomie et de Bio-Ingénierie(FABI) Université du Burundi National Research Centre on Camel Indian Council for Agriculture Research College of Veterinary Science & Animal Husbandry Sardarkrushinagar Dantiwada Agricultural University Department of Physiology and Biochemistry College of Veterinary Science and Animal Husbandry Sardarkrushinagar Dantiwada Agricultural University Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production Key Laboratory of Agro-Ecological Processes in Subtropical Region Institute of Subtropical AgricultureChinese Academy of Sciences

The utilization of urea in camels has beneficial and negative effects. The aims of this study were to investigate the effects of different levels of urea supplementation on nutrients intake, digestibility,growth performance, feed efficiency and economics in growing camels fed roughage based complete pellet diets. In the present study, eighteen growing camels with an average live body weight of306.17 ± 2.05 kg were randomly assigned in three treatments: T1 = roughage complete pellet diet without urea,T2 = T1 plus 1% urea,and T3 = T1 plus 2% urea. The results showed that the urea supplementation significantly affected average daily feed and nutrient intake of dry matter(DM), organic matter(OM), crude protein(CP), neutral detergent fiber(NDF), and acid detergent fiber(ADF)(P 0.05). Similarly, digestion coefficient of DM, CP, ether extract(EE),crude fiber(CF) and ADF was influenced by increasing urea level(P 0.05). The intake of digestive nutrients was similar among all treatment groups. Total body live weight gain and average daily gain were significantly higher in urea supplemented groups(P < 0.05) than in the control group. The supplementation of urea at 1% in low quality roughage complete pellet diets significantly improved(P < 0.05) the feed efficiency. In conclusion,these results indicated that the incorporation of urea at 1% in roughage based complete pellet diets could positively improve nutrients intake, digestibility, growth performance and feed conversion efficiency of growing camels.

关键词： Urea Nutrient intake Growth performance Complete pellet diet Feed conversion ratio

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综合研究乙肝病毒感染和它对肝移植的进展

综合研究乙肝病毒感染和它对肝移植的进展

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作者： SHAIKH abdul lateef 浙江大学

学位级别：硕士

肝细胞癌(HCC)的进展的主要风险因素是慢性乙型肝炎病毒(HBV)感染与全球超过3.5亿人为慢性HBV感染者。但是,依然不明确HCC究竟是臭名昭著的HBV直接诱导肝细胞癌或仅间接通过慢性肝炎的刺激。急性HBV感染可能会导致不精确的迹象,如乏力,... 详细信息

肝细胞癌(HCC)的进展的主要风险因素是慢性乙型肝炎病毒(HBV)感染与全球超过3.5亿人为慢性HBV感染者。但是,依然不明确HCC究竟是臭名昭著的HBV直接诱导肝细胞癌或仅间接通过慢性肝炎的刺激。急性HBV感染可能会导致不精确的迹象,如乏力,食欲不振,恶心,呕吐,腹痛,低烧,黄疸,尿色加深;和临床症状,如肝脾肿大。不超过5%感染急性乙型肝炎病毒延伸至慢性感染的成年人。乙肝病毒感染可以通过患者的血液检查来诊断。治愈慢性乙肝病毒感染的核心在于减轻肝脏炎症和降低病毒复制,以避免出现问题。慢性乙肝病毒感染者应检查肝酶试验和乙肝病毒DNA活动水平;结合考虑肝活检;并观察对肝癌进展的影响。肝移植是对急性或慢性肝病发展至肝衰竭,和／或乙肝病毒感染至肝癌患者的先进治疗手段。对大多数患者而言,抗病毒药物的进步使得预防性治疗能有效阻止临床上移植物再感染。移植物和患者生存率已经在过去的10年大幅度提高,对由乙肝病毒感染继而进展至大多数其他适应症,现在肝移植取得了更大的好结果。特别是,阿德福韦和拉米夫定的辅助功能已经改变了结局。

关键词：肝细胞癌(HCC) B型肝炎肝移植

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Assessment of Knowledge and Attitude in a Sample of Patients with Rheumatoid Arthritis and Its Association with Disease Activity and Severity: A Cross-Sectional Study

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Open Journal of Rheumatology and Autoimmune Diseases 2014年第4期4卷 226-234页

作者： Sami Salman Ahmad SAlnuaimi Nizar abdul lateef Rana Kadhum Rheumatology Unit Department of Medicine College of Medicine University of Baghdad Baghdad Iraq Community Medicine Department College of Medicine University of Baghdad Baghdad Iraq

Background: Rheumatoid arthritis (RA) is a chronic and disabling disease that has a major impact on the lives of patients. Objectives: To test the patients’ knowledge about their disease, its treatment, its complications, and if this affects severity of the disease as measured by the disease activity index (DAS 28). Patients and Methods: A sample of 100 patients with RA who met the Criteria of American College of Rheumatology for RA agreed to participate in this study over the period September 2011-March 2012. Patients’ data were obtained by personal interview. The questionnaire included demographic characteristics and the patients’ knowledge about their disease. The disease activity was measured using standard (DAS28). Results: Thirty three percent of the patients didn’t have an idea about their disease, 20% didn’t know the reason for the investigations, 49% didn’t know the treatment and 40% didn’t know the side effects of their medications. Most patients had a high disease activity index, and there was a poor correlation between patients’ educational level and the disease activity. Conclusions: Neither the educational level nor the frequency of hospital admissions had effects on the knowledge about this disease. As most patients had a high disease activity, a better knowledge may improve disease control and prevent complications.

关键词： Rheumatoid Arthritis Disease Burden Disease Awareness Patient’s Education Patient’s Knowledge Socio-Economic Factors Disease Activity Index

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In VitroSusceptibility of Dermatophytes to Anti-Fungal Drugs and Aqueous Acacia niloticaLeaf Extract in Lagos, Nigeria

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Journal of Biomedical Science and Engineering 2021年第2期14卷 74-82页

作者： Muinah A. Fowora Faustina U. Onyeaghasiri abdul lateef O. Olanlege Idowu O. Edu-Muyideen Olumide O. Adebesin Department of Molecular Biology and Biotechnology Nigerian Institute of Medical Research Lagos Nigeria FOWM Biotechnology Limited Lagos Nigeria Department of Microbiology College of Biosciences Federal University of Agriculture Abeokuta Abeokuta Nigeria Department of Microbiology Nigerian Institute of Medical Research Lagos Nigeria Department of Cell Biology and Genetics University of Lagos Lagos Nigeria

Dermatophytes were earlier reported to respond well to anti-fungal agents;however, an upsurge in resistance with the high cost of these agents increased the use of medicinal plants for treatment. This study investigated the sensitivity pattern of dermatophytes to oral anti-fungal drugs and aqueous leaf extract of the plant, Acacia nilotica. The extract was tested against seven strains of dermatophytes Arthroderma otae, Trichophyton interdigitale, Trichophyton mentagrophyte, Microsporum ferrugineum, Arthroderma vespertilii, Arthroderma quadrifidum, and Arthroderma multifidum, previously isolated from diabetic patients. The minimum inhibitory and fungicidal concentrations of the plant extracts and the standard antifungal agents were evaluated using modifications of the broth macro dilution method of the National Committee for Clinical Laboratory Standards M38-A2 protocol. There was a significant difference in the Minimum Inhibitory concentrations (MIC) of the dermatophytes to the three antifungal drugs tested (p Acacia nilotica had an inhibitory effect on all the dermatophytes tested, and showed anti-fungal activity in a dose-dependent relationship between 0.625 - 1.25 mg/ml. Though the inhibitions of the dermatophytes were significantly higher with the standard anti-fungal drugs as compared to the plant extract (p Arthroderma quadrifidum, which was resistant to all the anti-fungal drugs, had the highest inhibition with A. nilotica. Some circulating dermatophyte strains in Nigeria are griseofulvin and/or itraconazole resistant which may influence the spread of infection and A. nilotica aqueous leaf extract showed a strong anti-dermatophytic activity.

关键词： Acacia nilotica Anti-Fungal Agent Dermatophytes Minimum Inhibitory Concentration Minimum Fungicidal Concentration

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Hydrometallurgical Processing of Manganese Ores: A Review

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Journal of Minerals and Materials Characterization and Engineering 2014年第3期2卷 230-247页

作者： Alafara A. Baba lateef Ibrahim Folahan A. Adekola Rafiu B. Bale Malay K. Ghosh abdul R. Sheik Sangita R. Pradhan Olushola S. Ayanda Ismail O. Folorunsho Department of Chemistry Faculty of Applied Sciences Cape Peninsula University of Technology Cape Town South Africa Department of Geology and Mineral Sciences University of Ilorin Ilorin Nigeria Department of Industrial Chemistry University of Ilorin Ilorin Nigeria Department of Industrial Chemistry University of Ilorin Ilorin Nigeria Department of Geology and Mineral Sciences University of Ilorin Ilorin Nigeria Hydro & Electrometallurgy Department Institute of Minerals and Materials Technology Bhubaneswar India

Hydrometallurgy is the most suitable extractive technique for the extraction and purification of manganese as compared to all other techniques including biometallurgy and pyrometallurgical processes. In the hydrometallurgical processing of manganese from its ore, the leach liquors often contain divalent ions such as iron, manganese, copper, nickel, cobalt and zinc along with other impurities which make manganese very difficult to separate. The processes employed for solution concentration and purification in the hydrometallurgical processing of manganese include precipitation, cementation, solvent extraction and ion exchange. Solvent extraction also proves more efficient and it plays vital roles in the purification and separation of the manganese as compared to all other techniques. A detailed review of the various steps involved in the hydrometal-lurgical manganese processing, concentration and purification processes and newer processes of extraction of manganese from ores and waste materials were discussed.

关键词： Manganese and Manganese Ores Hydrometallurgy Biometallurgy Pyrometallurgy Solvent Extraction

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The Global Soil Mycobiome consortium dataset for boosting fungal diversity research

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Fungal Diversity 2021年第6期111卷 573-588页

作者： Leho Tedersoo Vladimir Mikryukov Sten Anslan Mohammad Bahram abdul Nasir Khalid Adriana Corrales Ahto Agan Aída-M.Vasco-Palacios Alessandro Saitta Alexandre Antonelli Andrea C.Rinaldi Annemieke Verbeken Bobby P.Sulistyo Boris Tamgnoue Brendan Furneaux Camila Duarte Ritter Casper Nyamukondiwa Cathy Sharp César Marín D.Q.Dai Daniyal Gohar Dipon Sharmah Elisabeth Machteld Biersma Erin K.Cameron Eske De Crop Eveli Otsing Evgeny A.Davydov Felipe E.Albornoz Francis Q.Brearley Franz Buegger Genevieve Gates Geoffrey Zahn Gregory Bonito Indrek Hiiesalu Inga Hiiesalu Irma Zettur Isabel C.Barrio Jaan Pärn Jacob Heilmann-Clausen Jelena Ankuda John Y.Kupagme Joosep Sarapuu Jose G.Maciá-Vicente Joseph Djeugap Fovo József Geml Juha M.Alatalo Julieta Alvarez-Manjarrez Jutamart Monkai Kadri Põldmaa Kadri Runnel Kalev Adamson Kari A.Bråthen Karin Pritsch Kassim I.Tchan Kęstutis Armolaitis Kevin D.Hyde Kevin K.Newsham Kristel Panksep lateef A.Adebola Louis J.Lamit Malka Saba Marcela Eda Silva Cáceres Maria Tuomi Marieka Gryzenhout Marijn Bauters Miklós Bálint Nalin Wijayawardene Niloufar Hagh-Doust Nourou S.Yorou Olavi Kurina Peter E.Mortimer Peter Meidl RHenrik Nilsson Rasmus Puusepp Rebeca Casique-Valdés Rein Drenkhan Roberto Garibay-Orijel Roberto Godoy Saleh Alfarraj Saleh Rahimlou Sergei Põlme Sergey V.Dudov Sunil Mundra Talaat Ahmed Tarquin Netherway Terry W.Henkel Tomas Roslin Vladimir E.Fedosov Vladimir G.Onipchenko WAErandi Yasanthika Young Woon Lim Meike Piepenbring Darta Klavina Urmas Kõljalg Kessy Abarenkov Mycology and Microbiology Center University of TartuTartuEstonia Institute of Ecology and Earth Sciences TartuEstonia Department of Ecology Swedish University of Agricultural SciencesUppsalaSweden Department of Botany University of the PunjabQuaid-e-Azam CampusLahorePakistan Centro de Investigaciones en Microbiología y Biotecnología-UR(CIMBIUR) Facultad de Ciencias NaturalesUniversidad del RosarioBogotáColombia Grupo de Microbiología Ambiental y BioMicro Escuela de MicrobiologíaUniversidad de Antioquia UdeAMedellínColombia Department of Agricultural Food and Forest SciencesUniversity of PalermoPalermoItaly Royal Botanic Gardens SurreyUK Department of Biomedical Sciences University of CagliariCagliariItaly Research Group Mycology Department of BiologyGhent UniversityGhentBelgium Department of Biomedicine Indonesia International Institute for Life SciencesJakartaIndonesia Plant Pathology and Agricultural Zoology Research Unit Department of Plant ProtectionFaculty of Agronomy and Agricultural SciencesUniversity of DschangDschangCameroon Department of Ecology and Genetics Uppsala UniversityUppsalaSweden Eukaryotic Microbiology University of Duisburg-EssenEssenGermany Department of Biological Sciences and Biotechnology Botswana International University of Science and TechnologyPalapyeBotswana Natural History Museum of Zimbabwe BulawayoZimbabwe Institute of Botany Czech Academy of SciencesPrůhoniceCzech Republic Center for Yunnan Plateau Biological Resources Protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujingPeople’s Republic of China Department of Botany Jawaharlal Nehru Rajkeeya MahavidyalayaPondicherry UniversityPort BlairIndia British Antarctic Survey NERCCambridgeUK Natural History Museum of Denmark University of CopenhagenCopenhagenDenmark Department of Environmental Science Saint Mary’s UniversityHalifaxNSCanada Altai State University BarnaulRussia CSIRO Land and Water WembleyWAAustralia Department of N

Fungi are highly important biotic components of terrestrial ecosystems,but we still have a very limited understanding about their diversity and *** data article releases a global soil fungal dataset of the Global Soil Mycobiome consortium(GSMc)to boost further research in fungal diversity,biogeography and *** dataset comprises 722,682 fungal operational taxonomic units(OTUs)derived from PacBio sequencing of full-length ITS and 18S-V9 variable regions from 3200 plots in 108 countries on all *** plots are supplied with geographical and edaphic *** OTUs are taxonomically and functionally assigned to guilds and other functional *** entire dataset has been corrected by excluding chimeras,index-switch artefacts and potential *** dataset is more inclusive in terms of geographical breadth and phylogenetic diversity of fungi than previously published *** GSMc dataset is available over the PlutoF repository.

关键词： Soil fungi Global dataset PacBio sequencing Fungal richness

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