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| 1 | Prospects to the formation and control of potential dimer impurity E of pantoprazole sodium sesquihydrate显示文摘Pantoprazole sodium, a substituted benzimidazole derivative, is an irreversible proton pump inhibitor which is primarily used for the treatment of duodenal ulcers, gastric ulcers, and gastroesophageal reflux disease (GERD). The monographs of European Pharmacopoeia (Ph. Eur.) and United States Pharmacopoeia (USP) specify six impurities, viz.;impurities A, B, C, D, E and F, respectively for its active pharmaceutical ingredient (API). The identification and synthesis of all impurities except impurity E are well described in the literature;however, there is no report related to impurity E. The prospects to the formation and controlling of impurity E up to -0.03% in the synthesis of pantoprazole sodium sesquihydrate (PAN) were discussed in detail for the first time. The present work described the journey towards the successful development of an optimal preparation procedure of dimer impurity E. The most plausible mechanism involved in the formation of impurity E has been proposed. | Arun Kumar Awasthi Lalit Kumar Punit Tripathi Madhava Golla Cirandur Suresh Reddy Pramod Kumar | 2019 | Journal of Pharmaceutical Analysis2019，9，3： | 4 |
| 2 | Hybrid Machine Learning Model for Face Recognition Using SVM显示文摘Face recognition systems have enhanced human-computer interactions in the last ten years.However,the literature reveals that current techniques used for identifying or verifying faces are not immune to limitations.Principal Component Analysis-Support Vector Machine(PCA-SVM)and Principal Component Analysis-Artificial Neural Network(PCA-ANN)are among the relatively recent and powerful face analysis techniques.Compared to PCA-ANN,PCA-SVM has demonstrated generalization capabilities in many tasks,including the ability to recognize objects with small or large data samples.Apart from requiring a minimal number of parameters in face detection,PCA-SVM minimizes generalization errors and avoids overfitting problems better than PCA-ANN.PCA-SVM,however,is ineffective and inefficient in detecting human faces in cases in which there is poor lighting,long hair,or items covering the subject’s face.This study proposes a novel PCASVM-based model to overcome the recognition problem of PCA-ANN and enhance face detection.The experimental results indicate that the proposed model provides a better face recognition outcome than PCA-SVM. | Anil Kumar Yadav R.K.Pateriya Nirmal Kumar Gupta Punit Gupta Dinesh Kumar Saini Mohammad Alahmadi | 2022 | Computers, Materials & Continua2022，，8： | 2 |
| 3 | Active Learning Query Strategies for Classification,Regression,and Clustering:A Survey显示文摘Generally,data is available abundantly in unlabeled form,and its annotation requires some cost.The labeling,as well as learning cost,can be minimized by learning with the minimum labeled data instances.Active learning(AL),learns from a few labeled data instances with the additional facility of querying the labels of instances from an expert annotator or oracle.The active learner uses an instance selection strategy for selecting those critical query instances,which reduce the generalization error as fast as possible.This process results in a refined training dataset,which helps in minimizing the overall cost.The key to the success of AL is query strategies that select the candidate query instances and help the learner in learning a valid hypothesis.This survey reviews AL query strategies for classification,regression,and clustering under the pool-based AL scenario.The query strategies under classification are further divided into:informative-based,representative-based,informative-and representative-based,and others.Also,more advanced query strategies based on reinforcement learning and deep learning,along with query strategies under the realistic environment setting,are presented.After a rigorous mathematical analysis of AL strategies,this work presents a comparative analysis of these strategies.Finally,implementation guide,applications,and challenges of AL are discussed. | Punit Kumar Atul Gupta | 2020 | Journal of Computer Science & Technology2020，35，4： | 2 |
| 4 | Primary gastric lymphoma: utility of 18F-fluorodeoxyglucose positron emission tomography-computed tomography for detecting relapse after treatment显示文摘 | Punit Sharma Sudhir KC Suman Harmandeep Singh Atul Sharma Chandrasekhar Bal Arun Malhotra Rakesh Kumar | 2013 | Leukemia & Lymphoma2013，，5： | 2 |
| 5 | Can Hybrid SPECT-CT Overcome the Limitations Associated With Poor Imaging Properties of 131I-MIBG?: Comparison With Planar Scintigraphy and SPECT in Pheochromocytoma显示文摘 | Punit Sharma Varun Singh Dhull Sunil Jeph Rama Mohan Reddy Harmandeep Singh Niraj Naswa Chandrasekhar Bal Rakesh Kumar | 2013 | Clinical Nuclear Medicine2013，，： | 1 |
| 6 | Role of 18F-FDG PET/CT in Detecting Recurrent Gallbladder Carcinoma显示文摘 | Rakesh Kumar Punit Sharma Anita Kumari Dhanapathi Halanaik Arun Malhotra | 2012 | Clinical Nuclear Medicine2012，，5： | 1 |
| 7 | Sister Mary Joseph Nodule in Endometrial Carcinoma: Detection With FDG PET/CT显示文摘 | Harmandeep Singh Punit Sharma Rama Mohan Reddy Chandrasekhar Bal Arun Malhotra Rakesh Kumar | 2013 | Clinical Nuclear Medicine2013，，6： | 1 |
| 8 | Mutagenicity of nitrobenzyl derivative: potential bioreductive anticanceragents显示文摘 | Juneja T R Anju Bala Punit Kumar | 1995 | Mutation Research1995，348，： | 1 |
| 9 | Primary gastric lymphoma: utility of 18F-fluorodeoxyglucose positron emission tomography-computed tomography for detecting relapse after treatment显示文摘 | Punit Sharma Sudhir KC Suman Harmandeep Singh Atul Sharma Chandrasekhar Bal Arun Malhotra Rakesh Kumar | 2013 | Leukemia & Lymphoma2013，，5： | 1 |
| 10 | Synthesis and characterization of copper foams through a powder metallurgy route using a compressible and lubricant space-holder material显示文摘In the present work,a compressible and lubricating space-holder material commonly known as 'acrawax' was used to process Cu foams with various pore sizes and various porosities.The foams were processed without using binders to avoid contamination of their metal matrices.The lubricant space-holder material was found to facilitate more uniform flow and distribution of metal powder around the surface of the space holder.In addition,the use of acrawax as a space-holder material yielded considerably dense cell walls,which are an essential prerequisite for better material properties.The foams processed with a smaller-sized space holder were found to exhibit better electrical and mechanical properties than those processed with a coarser-sized space holder.The isotropic pore shape,uniform pore distribution throughout the metal matrix,and uniform cell wall thickness were found to enhance the properties pertaining to fine-pore foam samples.The processed foams exhibit properties similar to those of the foams processed through the lost-carbonate sintering process. | Mohit Sharma O.P.Modi Punit Kumar | 2018 | International Journal of Minerals,Metallurgy and Materials2018，25，8： | 0 |
| 11 | Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications显示文摘In the next generation of computing environment e-health care services depend on cloud services.The Cloud computing environment provides a real-time computing environment for e-health care applications.But these services generate a huge number of computational tasks,real-time computing and comes with a deadline,so conventional cloud optimizationmodels cannot fulfil the task in the least time and within the deadline.To overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the least simulation time.In order to overcome existing issues,an artificial neural-inspired whale optimization is proposed to provide a reliable solution for healthcare applications.In this work,two models are proposed one for reliability estimation and the other is based on whale optimization technique and neural network-based binary classifier.The predictive model enhances the quality of service using performance metrics,makespan,least average task completion time,resource usages cost and utilization of the system.Fromresults as compared to existing algorithms the proposedANN-WHOalgorithms prove to improve the average start time by 29.3%,average finish time by 29.5%and utilization by 11%. | Punit Gupta Sanjit Bhagat Dinesh Kumar Saini Ashish Kumar Mohammad Alahmadi Prakash Chandra Sharma | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 12 | Fracture toughness of a rejuvenated β-Ti reinforced bulk metallic glass matrix composite显示文摘A β-Ti dendrite reinforced Zr-based bulk metallic glass composite(BMGC) was found to be brittle when cast in a large size. The reasons for the embrittlement and the effectiveness of the cryothermal cycling(CTC) treatment in restoring the mode I fracture toughness are examined. Plasticity in all the CTC treated BMGC is estimated from the distribution and occurrence of pop-ins in nanoindentation tests and by measuring the magnitude of enthalpy of relaxation(△H_(rel)) via differential scanning calorimetry(DSC). This is further validated by examining the strain-to-failure(ε_(f)) in compression tests. Mode I fracture behaviour of the as-cast embrittled BMGC and the CTC treated BMGC, which exhibits maximum plasticity, is examined. Results show that both BMGCs are equally brittle and exhibit 5 times lower notch toughness(K_(QJ))than their tougher counterpart. Post-facto imaging of the side surfaces reveals the absence of notch-tip plasticity in both BMGCs. The lack of notch tip plasticity of CTC treated BMGC, despite exhibiting signatures of plasticity in nanoindentation and higher △Hrelis rationalized by reassessing the origin of pop-ins in nanoindentation tests and describing the variations in chemical and topological short range ordering during CTC, respectively. Implications of these results in terms of improving the fracture toughness of structurally relaxed BMGCs via CTC are discussed. | Devashish Rajpoot R.Lakshmi Narayan Long Zhang Punit Kumar Haifeng Zhang Parag Tandaiya Upadrasta Ramamurty | 2022 | Journal of Materials Science & Technology2022，，11： | 0 |
| 13 | Ballistic response of skin simulant against fragment simulating projectiles显示文摘The response of biological phantoms against high velocity impact is actively sought for applications in defense,space,soft robotics and sensing.Towards this end,we study the ballistic response of silicone based skin simulant against fragment impact.Using a pneumatic gas gun setup,six chisel-nosed and three regular shaped(sphere,cylinder,and cube)fragments were impacted on the skin simulant.The resulting skin simulant response was studied in terms of ballistic limit velocities,energy densities,failure pattern,and the mechanics of interaction.The results indicate that the shape of the fragment affects the ballistic limit velocities.The ballistic limit velocities,energy densities of the chisel-nosed fragment simulating projectiles were relatively insensitive to the size(mass),except for the smallest(0.16 g)and largest(2.79 g)chisel-nosed fragment.For the same size(1 g),ballistic limit velocities and failure are dependent on the shape of the fragment.The skin simulant failed by combined plugging and elastic hole enlargement.Failure in the spherical fragment was dominated by the elastic hole enlargement,whereas plugging failure was dominant in all other fragments.The spherical,cylindrical,and chisel-nosed fragments created circular cavities,and the cubical fragment created a square cavity.In the case of the spherical fragment,slipping of the fragment within the skin simulant was seen.Cubical fragments created lateral cracks emanating from the corners of the square cavity.Interestingly,for all the fragments,the maximum deformation corresponding to the perforation was lower than the non-perforation indicating rate dependent,stress driven failure.The maximum deformation was also dependent on the shape of the fragment.Overall,these results provide unique insights into the mechanical response of a soft simulant against ballistic impact.Results have utility in the calibration and validation of computational models,design of personal protective equipment,and antipersonnel systems. | Punit Kumar Pandey Atul Harmukh M.K.Khan M.A.Iqbal S.G.Ganpule | 2023 | Defence Technology(防务技术)2023，30，12： | 0 |
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