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| 1 | Human sperm immobilization effect of Carica papaya seed extracts: an in vitro study显示文摘Aim: To examine if the seed extracts of Carica papaya, which showed antispermatogenic/sperm immobilization properties in animal models, could cause human sperm immobilization in vitro. Methods: Chloroform extract, benzene chromatographic fraction of the chloroform extract, its methanol and ethyl acetate sub-fractions and the isolated compounds from the sub-fractions i.e., ECP 1 & 2 and MCP 1 & 2, of the seeds of Cadca papaya were used at concentrations of 0.1%, 0.5%, 1% and 2%. Sperm motility was assessed immediately after addition of extracts and every 5 minutes thereafter for 30 minutes. Results: There were dose-dependent spermicidal effects showing an instant fall in the sperm motility to less than 20 % at 2 % concentration. Isolated compounds ECP 1 & 2 were more effective inducing a motility of less than 10%. Many of the spermatozoa became vibratory on the spot. Total inhibition of motility was observed within 20 - 25 min at all concentrations of all products. Scanning and transmission electron microscopy revealed deleterious changes in the plasma membrane of the head and mid-piece of spermatozoa. Sperm viability test and the number of abnormal spermatozoa after completion of incubation suggested that the spermatozoa were infertile. The effects were spermicidal but not spermiostatic as revealed by the sperm revival test. Conclusion: The results reveal spermicidal activity in vitro of the seed extracts of Carica papaya. | Nirmal K Lohiya Lalit K Kothari B Manivannan Pradyumna K Mishra Neelam Pathak | 2000 | Asian Journal of Andrology2000，2，2： | 6 |
| 2 | Properties of self- compacting-concrete containing fly ash subjected to elevated temperatures 显示文摘 | Pathak Neelam Siddique Rafat | 2012 | Construction and Building Materials2012，30，： | 1 |
| 3 | Effects of elevated temperatures on properties of self-compacting-concrete containing flay ash and spent foundry sand 显示文摘 | Pathak Neelam Siddique Rafat | 2012 | Construction and Building Materials2012，34，： | 1 |
| 4 | Cancer Chemopreventive Effects of the Flavonoid-Rich Fraction Isolated from Papaya Seeds显示文摘 | Neelam Pathak Saba Khan Arpit Bhargava Gorantla V. Raghuram Deepika Jain Hariom Panwar Ravindra M. Samarth Subodh K. Jain Kewal K. Maudar Dinesh K. Mishra Pradyumna K. Mishra | 2014 | Nutrition and Cancer2014，，5： | 1 |
| 5 | Cancer Chemopreventive Effects of the Flavonoid-Rich Fraction Isolated from Papaya Seeds显示文摘 | Neelam Pathak Saba Khan Arpit Bhargava Gorantla V. Raghuram Deepika Jain Hariom Panwar Ravindra M. Samarth Subodh K. Jain Kewal K. Maudar Dinesh K. Mishra Pradyumna K. Mishra | 2014 | Nutrition and Cancer2014，，5： | 1 |
| 6 | Purification and characterization of polygalacturonase from banana fruit显示文摘 | Neelam Pathak Sanjay Mishra G G Sanwal | 2000 | Phytochemistry2000，54，： | 1 |
| 7 | Performance Enhancement of Adaptive Neural Networks Based on Learning Rate显示文摘Deep learning is the process of determining parameters that reduce the cost function derived from the dataset.The optimization in neural networks at the time is known as the optimal parameters.To solve optimization,it initialize the parameters during the optimization process.There should be no variation in the cost function parameters at the global minimum.The momentum technique is a parameters optimization approach;however,it has difficulties stopping the parameter when the cost function value fulfills the global minimum(non-stop problem).Moreover,existing approaches use techniques;the learning rate is reduced during the iteration period.These techniques are monotonically reducing at a steady rate over time;our goal is to make the learning rate parameters.We present a method for determining the best parameters that adjust the learning rate in response to the cost function value.As a result,after the cost function has been optimized,the process of the rate Schedule is complete.This approach is shown to ensure convergence to the optimal parameters.This indicates that our strategy minimizes the cost function(or effective learning).The momentum approach is used in the proposed method.To solve the Momentum approach non-stop problem,we use the cost function of the parameter in our proposed method.As a result,this learning technique reduces the quantity of the parameter due to the impact of the cost function parameter.To verify that the learning works to test the strategy,we employed proof of convergence and empirical tests using current methods and the results are obtained using Python. | Swaleha Zubair Anjani Kumar Singha Nitish Pathak Neelam Sharma Shabana Urooj Samia Rabeh Larguech | 2023 | Computers, Materials & Continua2023，，1： | 0 |
| 8 | Design of ANN Based Non-Linear Network Using Interconnection of Parallel Processor显示文摘Suspicious mass traffic constantly evolves,making network behaviour tracing and structure more complex.Neural networks yield promising results by considering a sufficient number of processing elements with strong interconnections between them.They offer efficient computational Hopfield neural networks models and optimization constraints used by undergoing a good amount of parallelism to yield optimal results.Artificial neural network(ANN)offers optimal solutions in classifying and clustering the various reels of data,and the results obtained purely depend on identifying a problem.In this research work,the design of optimized applications is presented in an organized manner.In addition,this research work examines theoretical approaches to achieving optimized results using ANN.It mainly focuses on designing rules.The optimizing design approach of neural networks analyzes the internal process of the neural networks.Practices in developing the network are based on the interconnections among the hidden nodes and their learning parameters.The methodology is proven best for nonlinear resource allocation problems with a suitable design and complex issues.The ANN proposed here considers more or less 46k nodes hidden inside 49 million connections employed on full-fledged parallel processors.The proposed ANN offered optimal results in real-world application problems,and the results were obtained using MATLAB. | Anjani Kumar Singha Swaleha Zubair Areej Malibari Nitish Pathak Shabana Urooj Neelam Sharma | 2023 | Computer Systems Science & Engineering2023，46，9： | 0 |
| 9 | A Novel Hybrid Clustering Based Transmission Protocol for Wireless Body Area Networks显示文摘Wireless sensor networks are a collection of intelligent sensor devices that are connected to one another and have the capability to exchange information packets amongst themselves.In recent years,this field of research has become increasingly popular due to the host of useful applications it can potentially serve.A deep analysis of the concepts associated with this domain reveals that the two main problems that are to be tackled here are throughput enhancement and network security improvement.The present article takes on one of these two issues namely the throughput enhancement.For the purpose of improving network productivity,a hybrid clustering based packet propagation protocol has been proposed.The protocol makes use of not only clustering mechanisms of machine learning but also utilizes the traditional forwarding function approach to arrive at an optimum model.The result of the simulation is a novel transmission protocol which significantly enhances network productivity and increases throughput value. | Neelam Sharma Harshita Chadha Karan Singh B.M.Singh Nitish Pathak | 2021 | Computers, Materials & Continua2021，，11： | 0 |
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