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Designing Sustainable Thermal Energy System with Electro-Photo Conversion

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Journal of Thermal Science 2024年第5期33卷 1642-1656页

作者： praveen BARMAVATU Sunil kumar KOTHAPALLI Abilash RADHAKRISHNAN Dani Jermisha RAILIS Department of Mechanical Engineering Faculty of EngineeringUniversidad Tecnologica MetropolitanaSantiago 7810003Chile SRKR Engineering College BhimavaramWest GodavariAndhra Pradesh 534204India Maria College of Engineering and Technology Attoor629177Tamil NaduIndia

Thermal energy conversion and also storage system is to advance knowledge and develop practical solutions at the intersection of micro and nano-scale engineering,energy conversion,and *** research addresses the challenge of enhancing these critical aspects to ensure prolonged system performance and durability in the context of evolving energy *** research analyses the anti-oxidation and filtration behaviours of micro and nano-scale structures in the context of electro-and photo-thermal energy conversion and also storage systems.A micro multiscale hierarchical structure strategy is presented to fabricate multi-scale double-layer porous wick evaporators with the electrospun nanofibers made of gelatin-polyamide 6(GPA6)and Ti_(3)C_(2)T_(x)MXene/silver nanowire with Cellulose Micro/NanoFibers(CMNF)cryogens by using spark plasma sintering(SPS)based high-pressure hydrothermal treatment *** excellent anti-oxidation effect was offered by coating the film in thermal conditions and the anti-oxidation properties were further examined from 500℃to850℃.The results are analysed using Matlab software to improve the efficiency of energy conversion processes by integrating nanostructures into thermal systems,to increase energy output while minimizing *** silver nanowire is with a heat transfer coefficient of 78%,a mass remaining rate of 98.7%,and an energy storage efficiency of 23.8%.This study enhances energy density and duration by integrating nanostructures into thermal systems while minimizing energy losses,and it not only exhibits excellent anti-oxidation properties but also possesses superior filtration capabilities for designing and engineering multifunctional nanomaterials.

关键词： heat exchanger micro and nano-scale structure electro-and photo-thermal energy conversion and storage system anti-oxidation filtration behaviour

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A Novel Multi-objective Protection Coordination Scheme for a Microgrid with Optimal Deployment of Dual-setting ROCOV Based Relays

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Protection and Control of Modern Power Systems 2024年第4期9卷 23-38页

作者： praveen kumar Gupta Priyanshul Niranjan Niraj kumar Choudhary Nitin Singh Ravindra kumar Singh the Department of Electrical Engineering Motilal Nehru National Institute of Technology AllahabadPrayagraj 211004India

Relay coordination is crucial in electrical power systems to protect against malfunctions and damage caused by unexpected events like short *** address the challenge associated with the reverse direction of fault current,dual-setting(DS)directional over-current relays have evolved but failed to provide proper coordination during changes of load,generation,and *** the meantime,with the increasing number of DS relays,the total relay operating time tends to ***,this paper proposes a protection scheme based on the optimal deployment of conventional and dual-setting rate of change of voltage(DS-ROCOV)relays in distribution *** holds true for varying network topologies and is unaffected by variations in load and *** objective of the proposed scheme is to ensure reliable and efficient protection against faults in distribution systems by minimizing the overall operating time with the optimal number of DS-ROCOV *** proposed protection scheme’s performance is evaluated for different coordination time interval values as well as in different microgrid *** paper outlines the design and implementation of the proposed protection scheme which is validated on the modified IEEE 14-bus system using simulations in Matlab/Simulink.

关键词： Coordination time interval DS-ROCOV relay multi-objective optimization optimal-deployment protection coordination

Noscapine shows antimalarial activity against Plasmodium falciparum 3D7,its clinical isolate Pf140/SS,and Plasmodium berghei ANKA

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Asian Pacific Journal of Tropical Biomedicine 2024年第8期14卷 350-358页

作者： Swaraj kumar Babu Sameer Maharana Satyaranjan Chhatria Dibya Ranjan Sahoo Ashirbad Nanda Satish Kanhar Prativa KBehera Sanjib Mohanty Pradeep kumar Naik praveen Kishore Sahu Centre of Excellence in Natural Products and Therapeutics Department of Biotechnology and BioinformaticsSambalpur UniversityJyoti ViharSambalpur OdishaIndia Department of Molecular Biology and Infectious Diseases Community Welfare Society HospitalRourkelaOdishaIndia Molecular&Immunology Laboratory Infectious Disease Biology UnitIspat General HospitalRourkelaOdishaIndia Department of Pharmacy Centurion University of Technology and ManagementBhubaneswarOdishaIndia

Objective:To evaluate the antimalarial activity of noscapine against Plasmodium falciparum 3D7 strain(Pf3D7),its clinical isolate(Pf140/SS),and Plasmodium berghei ANKA(PbA).Methods:Using ring-stage survival assay,phenotypic assessments,and SYBR-green-based fluorescence assay,the antimalarial activities of noscapine were assessed compared with dihydroartemisinin(DHA)in in vivo and in vitro *** addition,hemolysis and cytotoxicity tests were carried out to evaluate its ***-PCR assay was also conducted to determine the effect of noscapine on papain-like cysteine protease Plasmodium falciparum falcipain-2(PfFP-2).Results:The antimalarial efficacy of noscapine against Pf3D7 and Pf140/SS was comparable to DHA,with IC50 values of(7.68±0.88)and(5.57±0.74)nM/mL,respectively,and>95%inhibition of PbA infected *** also showed a safe profile,as evidenced by low hemolysis and cytotoxicity even at high ***,PfFP-2 expression was significantly inhibited in both noscapine-treated Pf3D7 and Pf140/SS(P<0.01).Conclusions:Noscapine has antimalarial properties comparable to standard antimalarial DHA with better safety profiles,which may be further explored as a therapeutic candidate for the treatment of malaria.

关键词： Malaria Plasmodium falciparum Plasmodium berghei Noscapine Antimalarial Dihydroartemisinin Cytotoxicity Falcipain-2

Genes linked to obesity-related infertility:bridging the knowledge gap

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Reproductive and Developmental Medicine 2024年第2期8卷 121-129页

作者： praveen kumar Chandra Sekar Ramakrishnan Veerabathiran Human Cytogenetics and Genomics Laboratory Faculty of Allied Health SciencesChettinad Academy of Research and EducationKelambakkamTamil Nadu 603103India

Genetic factors play a pivotal role in the complex relationship between obesity and *** article delves into the genetics of obesity-related infertility,focusing on the essential genes and mechanisms in both *** explored infertility factors in obese females,focusing on polycystic ovary syndrome(PCOS)and the influence of genes like insulin receptor(INSR),androgen receptor(AR),and follicle-stimulating hormone receptor(FSHR).Epigenetic changes are believed to contribute to PCOS-related *** impact of adipokines and inflammation on obesity-related infertility has been discussed,with genes such as fat mass and obesity(FTO)and melanocortin-4-receptor(MC4R)playing significant *** factors affecting sperm quality and function,including nuclear receptor subfamily 3 group C member 1(NR3C1)and methylenetetrahydrofolate reductase(MTHFR),have been investigated in obesity-related infertility in *** dysregulation influenced by genetic markers,such as leptin receptor(LEPR),tumor necrosis factor-alpha(TNF-α),and interleukin-6(IL-6),was also *** factors play a vital role in obesity-related infertility in both *** involved in metabolism,hormonal regulation,and inflammation contribute to the complex association between obesity and *** changes further complicate the *** these genetic mechanisms is essential to address obesity-related infertility and develop personalized interventions.

关键词： Obesity Infertility PCOS DNA methylation Epigenetics

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Deep Learning-Based Speech Emotion Recognition: Leveraging Diverse Datasets and Augmentation Techniques for Robust Modeling

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Journal of Harbin Institute of Technology(New series) 2024年

作者： Ayush Porwal praveen kumar Tyagi Ajay Sharma Dheeraj kumar Agarwal Department of Electronics and Instrumentation Engineering， Shri G.S.Institute of Technology and Science Department of Electronics and Communication Engineering， Maulana Azad National Institute of Technology School of Computing Science and Engineering， VIT Bhopal University

In recent years， Speech Emotion Recognition (SER) has developed into an essential instrument for interpreting human emotions from auditory data. The proposed research focused on the development of a SER system employing deep learning and multiple datasets containing samples of emotive speech. The primary objective of this research endeavor is to investigate the utilization of Convolutional Neural Networks (CNNs) in the process of sound feature extraction. Stretching， pitch manipulation， and noise injection are a few of the techniques utilized in this study to improve the data quality. The investigation includes coverage of these methods. Feature extraction methods including Zero Crossing Rate， Chroma＿stft， MFCC， RMS， and MelSpectogram are used to train a model. By using these techniques， audio signals can be transformed into recognized features that can be utilized to train the model. Ultimately， the study will produce a thorough evaluation of the model’s performance. When this method was applied， the model achieved an impressive accuracy of 94.57% on the test dataset. Proposed work also validated on EMO-BD and IEMOCAP dataset. These consist of further data augmentation， feature engineering， and hyperparameter optimization. By following these development paths， SER systems will be able to be implemented in real-world scenarios with greater accuracy and resilience.

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A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction

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Computer Systems Science & Engineering 2024年第5期48卷 1085-1112页

作者： Varada Rajkumar Kukkala Surapaneni Phani praveen Naga Satya Koti Mani kumar Tirumanadham Parvathaneni Naga Srinivasu Department of Computer Science&Engineering(AIML) MLR Institute of TechnologyHyderabad500043India Department of Computer Science and Engineering Prasad V.Potluri Siddhartha Institute of TechnologyVijayawada520007India Department of Computer Science&Engineering Sir C.R.Reddy College of EngineeringEluru534001India Amrita School of Computing Amrita Vishwa VidyapeethamAmaravati522503India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil

This paper investigates the application ofmachine learning to develop a response model to cardiovascular problems and the use of AdaBoost which incorporates an application of Outlier Detection methodologies namely;Z-Score incorporated with GreyWolf Optimization(GWO)as well as Interquartile Range(IQR)coupled with Ant Colony Optimization(ACO).Using a performance index,it is shown that when compared with the Z-Score and GWO with AdaBoost,the IQR and ACO,with AdaBoost are not very accurate(89.0%vs.86.0%)and less discriminative(Area Under the Curve(AUC)score of 93.0%vs.91.0%).The Z-Score and GWO methods also outperformed the others in terms of precision,scoring 89.0%;and the recall was also found to be satisfactory,scoring 90.0%.Thus,the paper helps to reveal various specific benefits and drawbacks associated with different outlier detection and feature selection techniques,which can be important to consider in further improving various aspects of diagnostics in cardiovascular ***,these findings can enhance the knowledge of heart disease prediction and patient treatment using enhanced and innovativemachine learning(ML)*** findings when combined improve patient therapy knowledge and cardiac disease prediction through the use of cutting-edge and improved machine learning *** work lays the groundwork for more precise diagnosis models by highlighting the benefits of combining multiple optimization *** studies should focus on maximizing patient outcomes and model efficacy through research on these combinations.

关键词： Grey wolf optimization ant colony optimization Z-Score interquartile range(IQR) AdaBoost outlier

Predictors of cerebrospinal fluid GeneXpert MTB/RIF positivity in patients with tuberculous meningitis:A prospective cohort study

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Asian Pacific Journal of Tropical Medicine 2024年第10期17卷 465-472页

作者： Priyanka Gupta Neeraj kumar Ravindra kumar Garg Hardeep Singh Malhotra Imran Rizvi Rajesh Verma praveen kumar Sharma Ravi Uniyal Shweta Pandey Amita Jain Parul Jain Department of Neurology King George’s Medical UniversityLucknowIndia Department of Microbiology King George’s Medical UniversityLucknowIndia

Objective:To identify the clinical,laboratory,and radiological markers that could predict a positive GeneXpert result in patients suspected of tuberculous ***:In this prospective,observational study,patients with tuberculous meningitis were systematically *** clinical,laboratory[including cerebrospinal fluid(CSF)microscopy,culture,and GeneXpert],and neuroimaging factors were *** participants were administered anti-tuberculous treatment and corticosteroids.A six-month follow-up was done to evaluate the ***:Of the 116 patients studied,54(46.6%)tested positive for GeneXpert,while 62(53.4%)were *** cranial nerve involvement(OR 3.71,95%CI 1.052-13.09,P=0.04)and the presence of basal exudates on neuroimaging(OR 5.22,95%CI 2.03-13.42,P=0.001)emerged as independent predictive factors for a positive GeneXpert result.A positive CSF GeneXpert result(P=0.002)and drug resistance(P=0.004)were significantly linked to adverse ***,a high score on the Medical Research Council stageⅢ(OR 5.64,95%CI 1.18-26.87,P=0.03)and elevated CSF cell counts(OR 1.002,95%CI 1.00-1.001,P=0.03)were identified as independent predictors of poor ***:Third cranial nerve involvement and the presence of basal exudates were significant indicators of a positive GeneXpert *** stageⅢdisability and elevated CSF cell counts predicted poor outcomes.

关键词： Tuberculous meningitis Mycobacterium tuberculosis Cerebrospinal fluid Ziehl-Neelsen staining GeneXpert

Performance Investigation of Hybrid and Conventional PV Array Configurations for Grid-connected/Standalone PV Systems

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CSEE Journal of Power and Energy Systems 2022年第3期8卷 682-695页

作者： praveen kumar Bonthagorla Suresh Mikkili Department of Electrical and Electronics Engineering National Institute of TechnologyGoaIndia

Currently,the critical challenge in solar photovoltaic(PV)systems is to make them energy *** of the key factors that can reduce the PV system power output is partial shading conditions(PSCs).The reduction in power output not only depends on a shaded region but also depends on the pattern of shading and physical position of shaded modules in the *** to PSCs,mismatch losses are induced between the shaded modules which can cause several peaks in the output power-voltage(P-V)*** series-parallel(SP),total-cross-tied(TCT),bridge-link(BL),honey-comb(HC),and triple-tied(TT)configurations are considered as conventional configurations,which are severely affected by PSCs and generate more mismatch power losses along with a greater number of local *** reduce the effect of PSCs,hybrid PV array configurations,such as series-parallel:total-cross-tied(SP-TCT),bridge-link:total-cross-tied(BL-TCT),honey-comb:total-cross-tied(HC-TCT)and bridge-link:honey-comb(BL-HC)are *** paper briefly discusses the modeling,simulation and performance evaluation of hybrid and conventional 7×7 PV array configurations during different PSCs in a Matlab/Simulink *** performance of hybrid and conventional PV configurations are evaluated and compared in terms of global maximum power(GMP),voltage and currents at GMP,open and short circuit voltage and currents,mismatch power loss(MPL),fill factor,efficiency,and a number of local maximum power peaks(LMPPs).

关键词： Fill factor global maximum power(GMP) hybrid PV array configuration maximum power point(MPP) mismatch power loss(MPL) partial shading triple-tied(TT)

Optimal PV Array Configuration for Extracting Maximum Power Under Partial Shading Conditions by Mitigating Mismatching Power Losses

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CSEE Journal of Power and Energy Systems 2022年第2期8卷 499-510页

作者： praveen kumar Bonthagorla Suresh Mikkili the Electrical and Electronics Engineering Department National Institute of Technology Goa403401India

The grid-connected or standalone PV central inverter architecture is comprised of several PV modules which are connected in different ways to form the PV *** power generation capability of the PV array is primarily affected by partial shading conditions(PSC).Due to PSCs,the power output of the PV array is dramatically reduced,and mismatching losses are induced in the PV *** on the extent of these problems,multiple peaks also appear in the power-voltage(P-V)curve,which makes it very difficult to track the global maximum power point(GMPP).The main objective of this research paper is to model and simulate the series(S),series-parallel(SP),bridge-link(BL),honey-comb(HC),total-cross-tied(TCT)and proposed triple-tied(TT)solar PV array configurations under various partial shading *** performance of all PV configurations is evaluated under a uniform approach,considering eight different shading *** performance of the considered PV configurations is analyzed in terms of their mismatching power losses,fill factors,efficiency,global maximum power points(GMPPs),local maximum power points(LMPPs),voltages and currents at GMPPs,open circuit voltage and short circuit *** above-mentioned PV configurations are modeled and simulated in a Matlab/Simulink environment by considering the KC-200GT module parameters.

关键词： Photo voltaic(PV) PV array configurations triple-tied(TT) maximum power point(MPP) partial shading mismatching power losses fill factor efficiency