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| 1 | Effects of different levels of urea supplementation on nutrient intake and growth performance in growing camels fed roughage based complete pellet diets显示文摘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).On the contrary, the average daily intake of nitrogen free extract(NFE) and water were not influenced by increasing urea supplementation(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), while the digestion coefficient of OM, NFE and NDF was not affected 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. | Ntiranyibagira Emmanuel Niteen V.Patil Shekbar R.Bhagwat Abdul Lateef Kang Xu Hongnan Liu | 2015 | Animal Nutrition2015，，4： | 6 |
| 2 | Anthelmintic activity of Calotropis procera (Ait.) Ait. F. flowers in sheep显示文摘 | Zafar Iqbal Muhammad Lateef Abdul Jabbar Ghulam Muhammad Muhammad Nisar Khan | 2005 | Journal of Ethnopharmacology2005，，2： | 2 |
| 3 | In vitro and in vivo evaluation of the prebiotic activity of water-soluble blueberry extracts显示文摘 | Abdul Lateef Molan Mary Ann Lila John Mawson Shampa De | 2009 | World Journal of Microbiology and Biotechnology2009，，7： | 1 |
| 4 | Feeding jejunostomy: Does the benefit overweight the risk (a retrospective study from a single centre)显示文摘 | Mohd Lateef Wani Abdul Gani Ahangar Gh Nabi Lone Shyam Singh Ab Majeed Dar Mohd Akbar Bhat Reyaz Ahmad Lone Ifat Irshad | 2010 | International Journal of Surgery2010，，5： | 1 |
| 5 | Chrysin protects against cisplatin-induced colon. toxicity via amelioration of oxidative stress and apoptosis: Probable role of p38MAPK and p53显示文摘 | Rehan Khan Abdul Quaiyoom Khan Wajhul Qamar Abdul Lateef Mir Tahir Muneeb U Rehman Farrah Ali Sarwat Sultana | 2011 | Toxicology and Applied Pharmacology2011，，： | 1 |
| 6 | Effect of pine bark (Pinus radiata )extracts on sporulation of coc- cidian oocysts显示文摘 | Abdul Lateef Molan Zhuojian Liu Shampa De | 2009 | Folia Parasitologiea2009，56，1： | 1 |
| 7 | The Global Soil Mycobiome consortium dataset for boosting fungal diversity research显示文摘Fungi are highly important biotic components of terrestrial ecosystems,but we still have a very limited understanding about their diversity and distribution.This data article releases a global soil fungal dataset of the Global Soil Mycobiome consortium(GSMc)to boost further research in fungal diversity,biogeography and macroecology.The 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 continents.The plots are supplied with geographical and edaphic metadata.The OTUs are taxonomically and functionally assigned to guilds and other functional groups.The entire dataset has been corrected by excluding chimeras,index-switch artefacts and potential contamination.The dataset is more inclusive in terms of geographical breadth and phylogenetic diversity of fungi than previously published data.The GSMc dataset is available over the PlutoF repository. | 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 | 2021 | Fungal Diversity2021，，6： | 0 |
| 8 | A Weighted Multi-Layer Analytics Based Model for Emoji Recommendation显示文摘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 impairments.The modular approach implemented in this research allows for a seamless flow of information and assistance between the different components of the system.This research significantly contributes to the field of accessibility technology by integrating computer vision,natural language processing,and voice technologies.By leveraging these advancements,the developed system offers a practical and efficient solution for assisting blind individuals.The modular design ensures flexibility,scalability,and ease of integration with existing assistive technologies.However,it is important to acknowledge that further research and improvements are necessary to enhance the system’s accuracy and usability.Fine-tuning the CNN models and expanding the training dataset can improve eye and face detection as well as eye classification capabilities.Additionally,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 responses.Overall,this research paves the way for the development of more advanced and robust systems for assisting visually impaired individuals.By 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 impairments.Future work can focus on refining the system,addressing its limitations,and conducting user studies to evaluate its effectiveness and impact in real-world scenarios. | Amira M.Idrees Abdul Lateef Marzouq Al-Solami | 2024 | Computers, Materials & Continua2024，78，1： | 0 |
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