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American Journal of Analytical Chemistry 2024年第3期15卷 119-133页

作者： Anwar Sulaiman K. Ramakrishna Reddy vundavilli jagadeesh kumar Hemant kumar Sharma REVA University Bangalore India Quality Division Aurobindo Pharma Limited Hyderabad India APL Research Centre-II Analytical Research Department Aurobindo Pharma Limited Hyderabad India

Potential mutagenic impurities in Active Pharmaceutical Ingredient, Meropenem Trihydrate were assessed and a novel analytical method for their quantification was developed and validated. This Liquid Chromatographic method using High Resolution Mass Spectrometer (LC-HRMS) technique is proved to be suitable for simultaneous quantification of all ten identified impurities with required specificity, sensitivity, resolution, precision, accuracy, and other method characteristics as per ICH Guidelines. The acceptable limit of less than 2.9 μg/g was considered for evaluations, based on drug substance dosage and duration of treatment. The method stands most sensitive with a Limit of Detection of 0.35 μg/g, considering the challenge full acceptance criteria as per current regulatory standards.

关键词： Mutagenic Impurities LC-HRMS Meropenem Trihydrate Method Validation

Near Optimal PID Controllers for the Biped Robot While Walking on Uneven Terrains

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International Journal of Automation and computing 2018年第6期15卷 689-706页

作者： Ravi kumar Mandava Pandu Ranga vundavilli School of Mechanical Sciences Indian Institute of Technology (IIT) Bhubaneswar

The execution of the gaits generated with the help of a gait planner is a crucial task in biped locomotion. This task is to be achieved with the help of a suitable torque based controller to ensure smooth walk of the biped robot. It is important to note that the success of the developed proportion integration differentiation （PID） controller depends on the selected gains of the controller. In the present study, an attempt is made to tune the gains of the PID controller for the biped robot ascending and descending the stair case and sloping surface with the help of two non-traditional optimization algorithms, namely modified chaotic invasive weed optimization （MCIWO） and particle swarm optimization （PSO） algorithms. Once the optimal PID controllers are developed, a simulation study has been conducted in computer for obtaining the optimal tuning parameters of the controller of the biped robot. Finally, the optimal gait angles obtained by using the best controller are fed to the real biped robot and found that the biped robot has successfully negotiated the said terrains.

关键词： Biped robot staircase sloping surface proportion integration differentiation (PID) controller modified chaotic invasive weed optimization (MCIWO) & particle swarm optimization (PSO) algorithm.

Restoration of established systemic inflammation and autoimmunity by Foxp3^(+) regulatory T cells

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Cellular & Molecular Immunology 2022年第2期19卷 133-135页

作者： Varun kumar Sharma jagadeesh Bayry Department of Biotechnology&Microbiology School of SciencesNoida International University-NIUGautam Budh Nagar-201308NoidaUttar PradeshIndia

Immune tolerance ensures the disease-free status of an individual by preventing the appearance of pathological conditions,such as autoimmune and inflammatory *** the various players implicated in the maintenance of immune tolerance,CD4^(+)CD25^(+)regulatory T(Treg)cells that express the X-linked transcription factor Forkhead box P3(Foxp3)play a major ***3 governs the functions of Treg *** fact,a deficiency in Treg cells due to mutations in FoxP3 leads to fatal autoimmune and inflammatory conditions in humans called immunodysregulation polyendocrinopathy enteropathy x-linked(IPEX)*** observations have also been made in mice,in which FoxP3 deficiency leads to autoimmune pathology and death early in *** addition,various mutations in Treg-associated immunoregulatory molecules lead to inflammatory conditions[1].

关键词： Foxp3 FoxP3 inflammation

Ipsilateral fracture dislocations of the hip and knee joints with contralateral open fracture of the leg： a rare case and its management principles

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Chinese Journal of Traumatology 2011年第3期14卷 183-187页

作者： Ramesh kumar Sen Sujit kumar Tripathy Vibhu Krishnan Tarun Goyal Vanyambadi jagadeesh Department of Orthopedics Postgraduate Institute of Medical Education and Research Chandigarh 160012 India

This paper discussed the injury mechanism and management of a patient who had concomitant ipsilateral hip and knee dislocations and contralateral open leg fracture. A 32-year-old man presented with ipsilateral fracturedislocations of the left hip （Pipkin＇s type IV） and knee （Moore II）joints and contralateral open fracture of the leg bones after a car accident. After emergency resuscitative measures, the hip joint was reduced and Pipkin＇s fracture was fixed using Ganz approach with lag screws; knee joint was reduced closely and tibial plateau fracture was stabilized with lateral buttress plate and a transarticular spanning fixator. The open fracture on the other leg was debrided and fixed with an external fixator. There was no insta-bility in both joints after fixation when he was examined under anesthesia. The fractures united after 3 months and the patient had no residual instability of hip and knee. There was no clinical or radiological evidence of osteonecrosis in the hip joint after 6 months. At one-year follow-up, he had satisfactory functional outcome with almost normal range of motion at both joints. Ipsilateral hip and knee dislocations are rare injuries and more caution is needed for early diagnosis. A timely appropriate intervention can provide good functional outcome to the patient in this situation.

关键词： Hip dislocation Knee dislocation Fractures bone

Safety & efficacy of single subconjunctival triamcinolone 5 mg depot vs topical loteprednol post cataract surgery: less drop cataract surgery

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International Journal of Ophthalmology(English edition) 2019年第5期12卷 774-778页

作者： jagadeesh kumar Reddy Vivek Chaitanya Neeraj Shah Venkata Prabhakar Guduru Shadab Khan Siddharthan Kuttupalayam Department of Cornea Sankara Eye Hospital

AIM: To do a randomized prospective interventional study for comparing the effects of a single subconjunctival triamcinolone acetonide(SCTA) injection to tapering topical loteprednol in patients undergoing phacoemulsification surgery under topical anesthesia. METHODS: A total of 400 patients were randomized into 2 groups; Group A(200 patients) received 5 mg SCTA at the end of surgery and topical ketorolac tromethamine(0.5%) with ofloxacin(0.3%) combination for 3 wk. Group B(200 patients) received tapering topical loteprednol etabonate(0.5%) along with ofloxacin(0.3%) and ketorolac tromethamine(0.5%) for 3 wk. Outcomes evaluated were intraocular pressure(IOP), anterior chamber cells/flare and macular oedema postoperatively at 1, 6 and 12 ***: Baseline parameters were almost similar in both the groups. No statistical difference was seen between the preoperative and postoperative IOP values for Group A(P=0.82) and Group B(P=0.61) and postoperative IOP values in between both groups(P=0.14) at 1 wk. Incidence of cells/flare postoperative was statistically not significant(P=0.82) in both groups at all follow up visits. Postoperative macular oedema was not observed at any follow up visit. CONCLUSION: SCTA appears to be an effective alternative to prolong postoperative topical steroid use.

关键词： intraocular pressure subconjunctival triamcinolone acetonide phacoemulsification loteprednol cells/flare less drop cataract surgery

Butterfly Optimized Feature Selection with Fuzzy C-Means Classifier for Thyroid Prediction

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Intelligent Automation & Soft Computing 2023年第3期35卷 2909-2924页

作者： S.J.K.jagadeesh kumar P.Parthasarathi Mehedi Masud Jehad F.Al-Amri Mohamed Abouhawwash Department of Computer Science and Engineering Kathir College of EngineeringCoimbatore641062India Department of Computer science and Engineering Bannari Amman Institute of TechnologySathyamangalam638401TamilnaduIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.BOX 11099Taif21944Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura 35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

The main task of thyroid hormones is controlling the metabolism rate of humans,the development of neurons,and the signiﬁcant growth of reproductive *** medical science,thyroid disorder will lead to creating thyroiditis and thyroid *** two main thyroid disorders are hyperthyroidism and *** research works focus on the prediction of thyroid *** improve the accuracy in the classiﬁcation of thyroid disorder this paper pro-poses optimization-based feature selection by using differential evolution with the Butterﬂy optimization algorithm(DE-BOA).For the classiﬁer fuzzy C-means algorithm(FCM)is *** proposed DEBOA-FCM is evaluated with para-metric metric measures of sensitivity,speciﬁcity,and *** this work,the thyroid disease dataset collected from the machine learning University of Cali-fornia Irvine(UCI)database was *** accuracy rate for the Differential Evo-lutionary algorithm got 0.884,the Butterﬂy optimization algorithm got 0.906,Fuzzy C-Means algorithm got 0.899 and DEBOA+Focused Concept Miner(FCM)proposed work 0.943.

关键词： Fuzzy butterﬂy differential evolution thyroid hyperthyroid

Limb length discrepancy after total knee arthroplasty: A systematic review and meta-analysis

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World Journal of Clinical Cases 2021年第2期9卷 357-371页

作者： Sujit kumar Tripathy Siddharth Satyakam Pradhan Paulson Varghese Prabhudev Prasad Purudappa Sandeep Velagada Tarun Goyal Bijnya Birajita Panda jagadeesh Vanyambadi Department of Orthopaedics All India Institute of Medical SciencesBhubaneswar 751019OdishaIndia Department of Orthopedics VA Boston Health careBostonMassachusetts 02130United States Department of Orthopaedics All India Institute of Medical SciencesBathinda 209201India Department of Ophthalmology SCB Medical CollegeCuttack 751019India Department of Orthopaedics Salford Royal NHS Foundation TrustSalford M68HDUnited Kingdom

BACKGROUND Limb length discrepancy(LLD)after total knee arthroplasty(TKA)has been considered as one of the reasons for the unsatisfactory ***,there is no consensus about the extent of LLD that can be considered as clinically *** To evaluate the incidence of radiographic LLD and its impact on functional outcome following *** All randomized-controlled trial and observational studies on LLD in TKA,published till 22nd June 2020,were systematically searched and *** primary outcome was“limb lengthening or LLD after TKA”.The secondary outcomes included“assessment of LLD in varus/valgus deformity”and“impact of LLD on the functional outcome”.RESULTS Of 45 retrieved studies,qualitative and quantitative assessment of data was performed from eight studies and six studies,*** studies(n=1551)reported the average limb lengthening of 5.98 *** LLD after TKA was ranging from 0.4±10 mm to 15.3±2.88 *** incidence of postoperative radiographic LLD was reported in 44%to 83.3%of *** was no difference in the preoperative and postoperative LLD(MD-1.23;95%CI:-3.72,1.27;P=0.34).Pooled data of two studies(n=219)revealed significant limb lengthening in valgus deformity than varus(MD-2.69;95%CI:-5.11,0.27;P=0.03).The pooled data of three studies(n=611)showed significantly worse functional outcome in patients with LLD of≥10 mm compared to<10 mm(standard MD 0.58;95%CI:0.06,1.10;P=0.03).CONCLUSION Limb lengthening after TKA is common,and it is significantly more in valgus than varus *** LLD(≥10 mm)is associated with suboptimal functional outcome.

关键词： Arthroplasty Knee Replacement Limb length Joint diseases Surgery

Breast Cancer Detection Using Breastnet-18 Augmentation with Fine Tuned Vgg-16

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Intelligent Automation & Soft Computing 2023年第5期36卷 2363-2378页

作者： S.J.K.jagadeesh kumar P.Parthasarathi Mofreh A.Hogo Mehedi Masud Jehad F.Al-Amri Mohamed Abouhawwash Department of Computer Science and Engineering Kathir College of EngineeringCoimbatore641062India Department of Computer Science and Engineering Bannari Amman Institute of TechnologySathyamangalam638401TamilnaduIndia Electrical Engineering Department Faculty of EngineeringBenha UniversityBenha13518Egypt Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Women from middle age to old age are mostly screened positive for Breast cancer which leads to *** over the past decades,the overall sur-vival rate in breast cancer has improved due to advancements in early-stage diag-nosis and tailored *** all hospital brings high awareness and early detection technologies for breast *** increases the survival rate of *** traditional breast cancer treatment takes so long,early cancer techniques require an automation *** research provides a new methodol-ogy for classifying breast cancer using ultrasound pictures that use deep learning and the combination of the best ***,after successful learning of Convolutional Neural Network(CNN)algorithms,data augmentation is used to enhance the representation of the feature *** it uses BreastNet18 withﬁne-tuned VGG-16 model for pre-training the augmented *** feature classiﬁcation,Entropy controlled Whale Optimization Algorithm(EWOA)is *** features that have been optimized using the EWOA were utilized to fuse and optimize the *** identify the breast cancer pictures,training classiﬁers are *** using the novel probability-based serial technique,the best-chosen characteristics are fused and categorized by machine learning *** main objective behind the research is to increase tumor prediction accuracy for saving human *** testing was performed using a dataset of enhanced Breast Ultrasound Images(BUSI).The proposed method improves the accuracy com-pared with the existing methods.

关键词： Deep learning classiﬁcation data augmentation feature extraction the fusion of features breast cancer optimization classiﬁcation

Analysis of Heat Transfer of a Flat Plate Oscillating Heat Pipe, for Different Surfaces

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Journal of Mechanics Engineering and Automation 2017年第7期7卷 356-364页

作者： Fraga De Cal Beatriz Vishak jagadeesh kumar Department of Industrial Ⅱ Engineering-Higher Polytechnic School A Coruna University Ferrol 15403 Spain School of Engineering and Material Science Queen Mary University of London Mile End Rd London E1 4NS United Kingdom

Recent and constant demands for greater power densities and smaller sizes of electronic systems have stimulated the growth of new designs of different passive heat transfer methods such as heat pipes. Particularly, OHPs （Oscillating Heat Pipes） are relatively novel devices, capable of removing high heat rates over long and short distances with not much temperature drop. This study concentrates on the design, building and assembling a test rig in order to analyse the flow pattern ofdeionised water through a 5 turns flat plate oscillating heat pipe under different heat inputs, which was made in the school of engineering and materials science of the Queen Mary University of London by two energy ***. students. The filling ratio of the water is 40%. Furthermore an experimental study on the OHP thermal performance is carried out in order to examine the effects of different surface wet conditions： super hydrophilic, hydrophilic and cleaned brass. It is demonstrated the formation of liquid slugs and vapour plugs of the water along the channels. The experimental results showed that the hydrophilic surface tends to be more energy efficient. The heat transfer performance of the super-hydrophilic and hydrophilic is higher than brass by 5-12% and 15-20% respectively.

关键词： Oscillating heat pipe heat transfer flow pattern thermal performance.

Design of Dual Band Helical Antenna using Neural Networks

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Design of Dual Band Helical Antenna using Neural Networks