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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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Quantification of Structurally Alert Mutagenic Impurities in Meropenem Trihydrate Drug Substance by Liquid Chromatography with High Resolution Mass Spectrometer (LC-HRMS)

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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

Comparative analysis of real-world data of frequent treatment sequences in metastatic prostate cancer

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Current Urology 2024年第2期18卷 104-109页

作者： Jiten Jaipuria Ishleen Kaur Mohammad Najmud Doja Tanvir Ahmad Amitabh Singh Sudhir kumar Rawal Vineet Talwar Girish sharma Uro-oncology division Rajiv Gandhi Cancer Institute and Research CentreNew DelhiIndia Amity Centre for Cancer Epidemiology and Cancer Research Amity Institute of BiotechnologyAmity UniversityNoidaIndia School of Engineering and Technology Vivekananda Institute of Professional Studies–Technical CampusNew DelhiIndia Department of Computer Engineering Jamia Millia IslamiaNew DelhiIndia Indian Institute of Information Technology SonepatIndia Department of MedicalOncology Rajiv Gandhi Cancer Institute and Research CentreNew DelhiIndia

Background:The incidence of prostate cancer is increasing worldwide.A significant proportion of patients developmetastatic disease and are initially prescribed androgen deprivation therapy(ADT).However,subsequent sequences of treatments in real-world settings that may improve overall survival remain an area of active *** and methods:Data were collected from 384 patients presenting with de novo metastatic prostate cancer from 2011 to 2015 at a tertiary cancer *** were categorized into surviving(n=232)and deceased(n=152)groups at the end of 3 *** sequence pattern mining techniques(Generalized Sequential Pattern Mining and Sequential Pattern Discovery using Equivalence Classes)were applied to determine the exact order of the most frequent sets of treatments in each ***:Degarelix,as the initial form of ADT,was uniquely in the surviving *** sequence of ADT followed by abiraterone and docetaxel was uniquely associated with a higher 3-year overall *** followed by fosfestrol was found to have a unique niche among surviving patients with a long duration of response to the initial *** who received chemotherapy followed by radiotherapy and those who received radiotherapy followed by chemotherapy were found more frequently in the deceased ***:We identified unique treatment sequences among surviving and deceased patients at the end of 3 *** should be the preferred formof *** who received ADT followed by abiraterone and chemotherapy showed better *** requiring palliative radiation and chemotherapy in any sequence were significantlymore frequent in the deceased group,identifying the need to offer such patients the most efficacious agents and to target them in clinical trial design.

关键词： Hormone therapy Metastatic prostate cancer Sequence mining Survival

Designing of tragacanth gum-poly [2-(methacryloyloxy) ethyl] dimethyl-(3-sulfopropyl) ammonium hydroxide and poly(acrylamide) based hydrogels for drug delivery and wound dressing applications

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Medicine in Novel Technology and Devices 2024年第2期22卷 90-101页

作者： Kavita Devi Ashima sharma Rajesh kumar Baljit Singh Department of Chemistry Himachal Pradesh UniversityShimla171005India Department of Physiology Indira Gandhi Medical CollegeShimlaIndia

Bioactive tragacanth gum(TG)was functionalized by covalent crosslinking of poly[2-(methacryloyloxy)ethyl]dimethyl-(3-sulfopropyl)ammonium hydroxide(PMEDSAH)to design network structure in form of hydrogel wound dressings(HWD).These copolymers were encapsulated with antibiotic drug vancomycin to enhance wound healing potential of the *** copolymers were characterized by SEM,AFM,FTIR,13C NMR,XRD,and TGA-DSC *** demonstrated uneven heterogeneous morphology and AFM revealed rough surface of *** of synthetic component into HD was confirmed by FTIR and 13C *** dressings absorbed 8.491.03 g/g simulated wound fluid and exhibited non-hemolytic(3.70.02%hemolytic potential)and antioxidant(37.421.54%free radical scavenging in DPPH assay)*** required 35.05.0 mN detachment force to get it detach from the mucosal surface during mucoadhesive *** strength was found to be 1.880.13 N/mm2 during mechanical stability *** dressings were permeable to O2/H2O and impermeable to *** of drug vancomycin occurred through non-Fickian diffusion mechanism and release profile was best described by Korsmeyer-Peppas kinetic ***,these results revealed that these hydrogels could be explored as materials for hydrogel wound dressings.

关键词： Hydrogel dressings Drug delivery Wound dressings Vancomycin

Gallbladder cancer:Progress in the Indian subcontinent

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World Journal of Clinical Oncology 2024年第6期15卷 695-716页

作者： Ashok kumar Yajnadatta Sarangi Annapurna Gupta Aarti sharma Department of Surgical Gastroenterology Sanjay Gandhi Post Graduate Institute of Medical SciencesLucknow 226014Uttar PradeshIndia Division of Haematology Mayo Clinic ArizonaPhoenixAZ 85054United States

Gallbladder cancer(GBC)is one of the commonest biliary malignancies seen in India,Argentina,and *** disease has dismal outcome as it is detected quite late due to nonspecific symptoms and *** detection is the only way to improve the *** have been several advances in basic as well as clinical research in the hepatobiliary and pancreatic diseases in the West and other developed countries but not enough has been done in ***,it is imp-ortant and the responsibility of the countries with high burden of GBC to find solutions to the many unanswered questions like etiopathogenesis,early diagn-osis,treatment,and *** India being one of the largest hubs for GBC in the world,it is important to know how the country has progressed on *** this review,we will discuss the outcome of the publications from India highlighting the work and the developments taken place in past several decades both in basic and clinical research.

关键词： Gallbladder cancer India basic research Clinical research Surgery Therapeutics

Diuretic Activity of Ethanol Extract of Piper attenuatum Leaves Might Be Due to the Inhibition of Carbonic Anhydrase Enzyme:An in vivo and in silico Investigation

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Clinical Complementary Medicine and Pharmacology 2024年第1期4卷 62-68页

作者： Shikha sharma Gaurav kumar Nitin kumar Neeraj K.Sethiya Dheeraj Bisht Department of Pharmaceutical Sciences Lords UniversityAlwarRajasthan 301028India Navsahyadri Institute of Pharmacy NasrapurPuneMaharashtra 412213India Faculty of Pharmacy DIT UniversityMussoorie Diversion RoadDehradunUttarakhand 248009India Devsthali Vidyapeeth College of Pharmacy(Veer Madho Singh Bhandari Uttarakhand Technical University Dehradun)LalpurRudrapurUttarakhand 263148India

Background:Ayurvedic system of medicine is well established for prevention and treatment of renal *** are vast number of medicinal plants mentioned in Ayurvedic system of medicine,including Piper attenuatum Buch.-*** Miq.,which has been known to exhibit diuretic ***:To investigate possible mechanism and diuretic activity of ethanol extract of *** ***:Present study reports an in vivo diuretic activity of ethanol extracts of *** ***-four Sprague-Dawley male rats were deprived from food and water for 20 h,followed by being divided into four groups to receive normal saline,Furosemide,and two doses of the ethanol extract,***,the ethanol extract were subjected for prelimnary phytochemical screening test,and analytical investigation was performed via high-performance thin-layer chromatography(HPTLC),followed by effectiveness exploration of putative bioactive compounds from *** against human carbonic anhydrase(hCA)enzyme using molecular docking ***:During phytochemicals screening,several groups of compounds such as amides,terpenoids,proteins,flavonoids,and glycosides have been ***,HPTLC reveals presence of carbohydrates,proteins,amino acids,steroids,alkaloids,flavonoids,tannins,glycosides,and *** diuretic action was revealed for both 200 mg/kg bw and 400 mg/kg bw of ethanol extract of *** ***,molecular docking analysis demonstrated greater binding affinity of compounds such as Cepharadione A,Nor-cepharadione B,Galbelgin,Crotepoxide,and Pipoxide chlorohydrin out of total 23 studied compounds against hCA isoforms(a key biomarker for diuretic)and score is comparable with standard drug ***:It was concluded from the present studies that ethanol extract of *** leaves exhibits signifi-cant diuretic *** activity may be correlated due to the presence of Cepharadione A,Norcepharadion

关键词： Piper attenuatum Diuretic activity Phytochemicals In silico and molecular docking

Impact of phytoconstituents on oral health practices:a post COVID-19 observation

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Food Science and Human Wellness 2024年第5期13卷 2386-2400页

作者： Harsh kumar Reena Singh Daljeet Singh Dhanjal Chirag Chopra Natália Cruz-Martins Gheyath K.Nasrallah Amin F.Majdalawieh Sivakumar Manickam Shahida Anusha Siddiqui Dinesh kumar Indu sharma Varun sharma School of Bioengineering&Food Technology Shoolini University of Biotechnology and Management SciencesSolan 173229India School of Bioengineering and Biosciences Lovely Professional UniversityPunjab 144402India Faculty of Medicine University of PortoPorto 4200-319Portugal Institute for Research and Innovation in Health(i3S) University of PortoPorto 4200-135Portugal Institute of Research and Advanced Training in Health Sciences and Technologies(CESPU) RuaCentral de GandraGandra 4585-116Portugal TOXRUN-Toxicology Research Unit University Institute of Health SciencesCESPUCRLGandra 4585-116Portugal Biomedical Research Center Qatar UniversityDoha 2713Qatar Department of Biomedical Science College of Health SciencesQatar UniversityDoha 2713Qatar Department of Biology Chemistryand Environmental SciencesCollege of Arts and SciencesAmerican University of SharjahSharjah 26666United Arab Emirates Petroleum and Chemical Engineering Faculty of EngineeringUniversiti Teknologi BruneiBandar Seri Begawan BE1410Brunei Campus Straubing for Biotechnology and Sustainability Technical University of MunichStraubing 94315Germany Genetic Heritage Group New York UniversityAbu Dhabi 129188United Arab Emirates Bioinformatics Division NMC Genetics India Pvt.Ltd.Gurugram 122001India

Appropriate oral hygiene significantly reduces the possibility of oral ***,dental caries and periodontal diseases are major oral health issues causing chronic diseases due to poor oral ***,herbal compounds have gained interest in maintaining oral *** of burdock root(Arctium),noni fruit(Morinda citrifolia),and neem leaf(Azadirachta indica)are now used as intracanal medicaments in endodontics and *** amboinicus species and other plants produces essential oil likeβ-caryophyllene,p-cymene,andγ-terpinene can exhibit antibacterial activity;highlighting phytoconstituents plays a vital role in oral *** COVID-19 pandemic highlighted the importance of hygiene and sanitization,to curb *** cavity is among the gateways for virus entry into *** is a potential reservoir of SARS-CoV-2,and there is an increased risk of infection if there is any fissure in the *** enables entry of virus into the vascular system through gingival or periodontal pocket,possibly reaching lung periphery then to lung vessels by interacting with endothelial surface receptors triggering pulmonary vasoconstriction and lung damage due to endothelial *** review aims to draw attention to the possible route of SARS-CoV-2 infection via the oral cavity and the importance of oral hygiene against COVID-19.

关键词： COVID-19 SARS-CoV-2 Oral Hygiene Microbiota Phytochemicals

Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture

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Computer Systems Science & Engineering 2024年第2期48卷 341-362页

作者： Arpit Jain Nageswara Rao Moparthi A.Swathi Yogesh kumar sharma Nitin Mittal Ahmed Alhussen Zamil S.Alzamil MohdAnul Haq Department of Computer Science and Engineering KoneruLakshmaiah Education FoundationVaddeswaram522302India Department of Computer Science and Engineering Sreyas Institute of Engineering and TechnologyHyderabad500068India University Centre for Research and Development Chandigarh UniversityMohali140413India Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Recently,the coronavirus disease 2019 has shown excellent attention in the global community regarding health and the *** Health Organization(WHO)and many others advised controlling Corona Virus Disease in *** limited treatment resources,medical resources,and unawareness of immunity is an essential horizon to *** all resources,wearing a mask is the primary non-pharmaceutical intervention to stop the spreading of the virus caused by Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2)*** countries made masks mandatory to prevent *** such enforcement,automatic and effective face detection systems are *** study presents a face mask identification approach for static photos and real-time movies that distinguishes between images with and without *** contribute to society,we worked on mask detection of an individual to adhere to the rule and provide awareness to the public or *** paper aims to get detection accuracy using transfer learning from Residual Neural Network 50(ResNet-50)architecture and works on detection *** experiment is tested with other popular pre-trained models such as Deep Convolutional Neural Networks(AlexNet),Residual Neural Networks(ResNet),and Visual Geometry Group Networks(VGG-Net)advanced *** proposed system generates an accuracy of 98.4%when modeled using Residual Neural Network 50(ResNet-50).Also,the precision and recall values are proved as better when compared to the existing *** outstanding work also can be used in video surveillance applications.

关键词： Transfer learning depth analysis convolutional neural networks(CNN) COVID-19

Comprehensive analysis of uncertainty quantification for the^(58)Ni(n,p)^(58)Co reaction cross section

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Chinese Physics C 2024年第9期48卷 170-175页

作者： Mahesh Choudhary Aman sharma Namrata Singh Mahima Upadhyay Punit Dubey A.Gandhi Akash Hingu G Mishra Sukanya De L.S.Danu Ajay kumar R.G.Thomas Saurav Sood Sajin Prasad S.Mukherjee I.N.Ruskov Yu.N.Kopatch A.kumar Department of Physics Banaras Hindu UniversityVaranasi 221005India Horia Hulubei National Institute of Physics and Nuclear Engineering-IFIN-HH Bucharest 077125Romania Department of Physics The Maharaja Sayajirao University of BarodaVadodara 390002India Nuclear Physics Division Bhabha Atomic Research CentreMumbai 400085India Health Physics Division Bhabha Atomic Research CentreMumbai 400085India Department of Electrical Power Engineering Brno University of TechnologyBrno 61600Czech Republic Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of SciencesSofia 1784Bulgaria Joint Institute for Nuclear Research(JINR) Dubna 141980Russia

In this study,we measured the^(58)Ni(n,p)^(58)Co reaction cross section with neutron energies of 1.06,1.86,and 2.85 *** cross section was measured using neutron activation techniques andγ-ray spectroscopy,and it was compared with cross section data available in the ***,we calculated the covariance matrix of the measured cross section for the aforementioned nuclear *** uncertainties of the theoretical calculation for^(58)Ni(n,p)^(58)Co reaction cross section were calculated via Monte Carlo *** this study,we used uncertainties in the optical model and level density parameters to calculate uncertainties in the theoretical cross *** theoretical calculations were performed by using *** this study,we aim to analyze the effect of uncertainties of the nuclear model input as well as different experimental variables used to obtain the values of reaction cross section.

关键词： ^(58)Ni(n p)^(58)Co reaction γ-ray spectroscopy uncertainty quantification of cross section covariance analysis