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| 1 | Genetics of severe combined immunodeficiency显示文摘Severe Combined Immunodeficiency(SCID)is an inherited group of rare,lifethreatening disorders due to the defect in T cell development and function.Clinical manifestations are characterised by recurrent and severe bacterial,viral,and fungal opportunistic infections that start from early infancy period.Haematopoietic stem cell transplantation(HSCT)is the treatment of choice.The pattern of inheritance of SCID may be X-linked or autosomal recessive.Though the diagnosis of SCID is usually established by flow cytometry-based tests,genetic diagnosis is often needed for genetic counselling,prognostication,and modification of pre-transplant chemotherapeutic agents.This review aims to highlight the genetic aspects of SCID. | Rajni Kumrah Pandiarajan Vignesh Pratap Patra Ankita Singh Gummadi Anjani Poonam Saini Madhubala Sharma Anit Kaur Amit Rawat | 2020 | Genes & Diseases2020，7，1： | 2 |
| 2 | Effects of deposition temperature on the structural and morphological properties of thin ZnO films fabricated by pulsed laser deposition显示文摘 | RAKHI KHANDELWAL AMIT PRATAP SINGH AVINASHI KAPPOR | 2008 | Opties and Laser Technology2008，40，2： | 1 |
| 3 | Thermal and mechanical damage of GaAs in picosecond regime显示文摘 | Amit Pratap Singh Avinashi Kapoor | 2001 | Optics & Laser Technology2001，33，6： | 1 |
| 4 | Laser damage studies of silicon surfaces using ultra-short laser pulses 显示文摘 | AMIT PRATAP SINGH AVINZ SHI KAPOOR TRI- PATHI K N | 2002 | Optic &technology2002，34，1： | 1 |
| 5 | Laserdamage studies of silicon surfaces using ultra-short laser pulses显示文摘 | Amit Pratap Singh Avinashi Kapoor | 2002 | Optics and LaserTechnology2002，34，1： | 1 |
| 6 | Site of Incision and Corneal Astigmatism in Conventional SICS versus Phacoemulsification显示文摘 | Bhaskar Reddy MS Amit Raj MBBS Virendar Pratap Singh MS | 2007 | Annals of Ophthalmology2007，，3： | 1 |
| 7 | Spray Prediction Model for Aonla Rust Disease Using Machine Learning显示文摘Disease prediction in plants has acquired much attention in recent years.Meteorological factors such as:temperature,relative humidity,rainfall,sunshine play an important role in a plan’s growth only if they are present in adequate amounts as required by the plant.On the other hand,if the factors are inadequate,they may also support the growth of a disease in the plants.The current study focuses on the Rust disease in Aonla fruits and leaves by utilizing a real time dataset of weather parameters.Fifteen different models are tested for spray prediction on conducive days.Two resampling techniques,random over sampling(ROS)and synthetic minority oversampling technique(SMOTE)have been used to balance the dataset and five different classifiers:support vector machine(SVM),logistic regression(LR),k-nearest neighbor(kNN),decision tree(DT)and random forest(RF)have been used to classify a particular day based on weather conditions as conducive or non-conducive.The classifiers are then evaluated based on four performance metrics:accuracy,precision,recall and F1-score.The results indicate that for imbalanced dataset,kNN is appropriate with high precision and recall values.Considering both balanced and imbalanced dataset models,the proposed model SMOTE-RF performs best among all models with 94.6%accuracy and can be used in a real time application for spray prediction.Hence,timely fungicide spray prediction without over spraying will help in better productivity and will prevent the yield loss due to rust disease in Aonla crop. | Hemant Kumar Singh Bhanu Pratap S.K.Maheshwari Ayushi Gupta Anuradha Chug Amit Prakash Singh Dinesh Singh | 2023 | Journal of Agricultural Science and Technology(B)2023，13，1： | 0 |
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