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Bio-oil and biochar production using thermal and catalytic pyrolysis of low-value waste neem seeds over low-cost catalysts:effects of operating conditions on product yields and studies of physicochemical characteristics of bio-oil and biochar

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Biochar 2021年第4期3卷 641-656页

作者： ranjeet kumar Mishra Kaustubha Mohanty Department of Chemical Engineering Indian Institute of Technology GuwahatiGuwahati 781039India

This study addressed a comparative assessment of the effect of low-cost catalysts on the yield and physicochemical properties of *** and catalytic pyrolysis of neem seeds(NM)was conducted in a fixed bed semi-batch reactor at optimum conditions(550°C temperature,80°C min−1 heating rate,0.5 mm particle size,and 100 mL min−1 sweep gas flow rate).The produced bio-oil and biochar were characterized through thermal stability,elemental composition(CHNS),higher heating value(HHV),Nuclear Magnetic Resonance(NMR)spectroscopy,Field Emission Scanning Electron Microscopy(FESEM),Fourier-transform infrared spectroscopy(FTIR),Gas Chromatography-Mass Spectrometry(GC-MS),zeta potential,water-holding capacity(WHC),and BET(Brunauer,Emmett and Teller)surface area ***,it was noticed that the use of catalysts at optimized condition substantially boosted the quality and yield of *** results established that thermal pyrolysis yielded 49.53 wt.%of bio-oil,while catalytic pyrolysis yielded(51.25 wt.%,53.12 wt.%,48.68 wt.%,and 50.65 wt.%for MgO,NaOH,Al_(2)O_(3),and ZSM-5,respectively)at 20 wt.%catalyst *** physicochemical study of bio-oil confirmed improved properties of bio-oil in terms of viscosity,heating value,pH and carbon ***,the FTIR study of bio-oil indicates the occurrence of phenolic products,aromatics,ketones,acidic compounds,esters,alcohol and aldehyde impurities,whereas 1H NMR study supported FTIR ***-MS study demonstrated that the introduc-tion of catalysts significantly reduced the oxygenated substances,acidic products,phenolic compounds and substantially increased the ***,characterization results of neem seed biochar(NMC)established the existence of HHV(23.26 MJ kg^(−1)),carbon content(62.66%),zeta potential(31.68 mV),water holding capacity(41.50%)and lower BET surface area(4.60 m^(2)g^(−1)).

关键词： Waste neem seeds Pyrolysis Catalysts Bio-fuel GC–MS FTIR 1H NMR Biochar FESEM

Co-pyrolysis of waste biomass and waste plastics(polystyrene and waste nitrile gloves)into renewable fuel and value-added chemicals

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Carbon Resources Conversion 2020年第1期3卷 145-155页

作者： ranjeet kumar Mishra Kaustubha Mohanty Department of Chemical Engineering Indian Institute of Technology GuwahatiGuwahati 781039India

The present study addresses the influence of blending of waste plastics(i.e.,polystyrene,PS and waste nitrile gloves,WNG)with mahua seeds(MH)for co-pyrolytic liquid yield and its fuel *** blends of waste plastics were mixed with biomass(10,20 and 30 wt%)and pyrolyzed in a semi-batch reactor at an optimized environment(550℃ temperature,80℃ min^(-1) heating rate,and 100 mL min^(-1) N_(2) flow rate).Physicochemical results displayed its ability to yield renewable fuel and valuable ***-pyrolysis outcomes showed that blending of waste plastics at 20 wt%,yielded maximum liquid(44.18±1.2 wt%and 45.89±1.4 wt%for MH+WNG and MH+PS respectively)which was higher than thermal pyrolysis of individual MH(39.26±1.2 wt%).Further,characterization results revealed a substantial reduction in viscosity,oxygen content,moisture,and a positive increment in gross heating value,carbon content and *** examination exposed the attendance of mainly aromatics,acids,phenols,water,esters and ***,NMR analysis of pyrolytic oil confirmed an increase in aromaticity by blending of waste plastics(20 wt%)while there was a reduction in paraffinic ***-MS investigation revealed substantial improvement in hydrocarbons and minimization in the oxygen-rich products by blending of waste plastics at 20 wt%.

关键词： Waste biomass Plastics Co-pyrolysis Pyrolytic oil Fuel characterization

Bidirectional link between periodontitis and systemic inflammation in diabetic retinopathy

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World Journal of Diabetes 2024年第7期15卷 1651-1653页

作者： Prateek Nishant Sony Sinha ranjeet kumar Sinha Arvind kumar Morya Department of Ophthalmology ESIC Medical CollegePatna 801103BiharIndia Department of Ophthalmology-Vitreo-Retina Neuro-Ophthalmology and OculoplastyAll India Institute of Medical SciencesPatna 801507BiharIndia Department of Community Medicine Patna Medical CollegePatna 800004BiharIndia Department of Ophthalmology All India Institute of Medical SciencesHyderabad 508126TelanganaIndia

Periodontitis is independently associated with numerous lifestyle *** patients have approximately threefold increased odds of periodontitis,which in turn increases the risk of systemic *** study by Thazhe Poyil et al is an effort to establish the inflammatory link between diabetic retinopathy(DR)and periodontitis based on the periodontal inflamed surface area in diabetic patients with and without *** further advance the study,we suggest refining the eligibility criteria to explicitly state the clinical correlates of periodontitis and DR,larger sample size and improved sampling methodology,matching of baseline characteristics of the two groups,as well as improved statistical approach and interpretation of the study *** of hemoglobin A1c(HbA1c)in studies comparing type 2 diabetes mellitus patients with DR of matched severity with and without periodontitis could provide a clearer picture of whether HbA1c level is indeed influenced by periodontitis.

关键词： Glucose intolerance Hyperglycemia Inflammation Research methodology Vision

The role of drug utilization evaluation in medical sciences

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Global Health Journal 2023年第1期7卷 3-8页

作者： Ruby Gangwar Arvind kumar Abrar Ahmed Zargar Amit Sharma ranjeet kumar Department of Pharmacy Practice ISF College of PharmacyMogaPunjab 142001India

Background:Drug utilization evaluation(DUE)is defined by the World Health Organization(WHO)and focuses on the medical,social,and economic consequences of pharmaceutical marketing,distribution,prescribing,and usage in *** WHO recommends a physician to every 1000 *** to the recent data from the Health Ministry in 2019,in which 1.16 million doctors are of active population with just 80%,or 0.9 million,*** a result,a ratio of 0.68 doctors for every 1000 people,which is much below as per the WHO *** article describes history,types,WHO guidelines,need and purpose of ***:The main aim of this paper is to provide information about the rational use of medication in outpatient and inpatient department with special emphasis of *** also provides awareness directly to healthcare professionals,researchers,academicians,pharmacist and nurses to reduce the irrationality of ***:The method used to compile this review information gathered from websites,Google scholar,PubMed,Research gate,and studies published on DUE from July 20 to Oct 22 were included as source of ***:We studied more than 35 published study on DUE,that reveals most of the physicians prescribed branded drugs not generic drugs,but WHO prescribing indicator allows to prescribe generic drugs in the hospital pharmacy to maintain better inventory *** may also help to prevent pharmacist misunderstanding during ***:The use of generic prescription names avoids the possibility of medication product duplication and lowers patient *** is important to remember that incorrect medication prescriptions have impact on both patients and their family *** indicators identify irrational prescribing behaviours to make therapy more rational and cost-effective.

关键词： Anatomical therapeutic chemical classification Drug utilization evaluation Prescribing indicators Pregnancy risk classification Rational use of the drug

Nutrition interventions and clinical outcomes of pregnant women with gestational diabetes mellitus: More than meets the eye

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World Journal of Diabetes 2024年第1期15卷 126-128页

作者： Sony Sinha Prateek Nishant ranjeet kumar Sinha Arvind kumar Morya Ripunjay Prasad Department of Ophthalmology-Vitreo-Retina Neuro-Ophthalmology and OculoplastyAll India Institute of Medical SciencesPatnaPatna 801507BiharIndia Department of Ophthalmology ESIC Medical CollegePatnaPatna 801103BiharIndia Department of Community Medicine Patna Medical CollegePatna 800004BiharIndia Department of Ophthalmology All India Institute of Medical SciencesHyderabad 508126TelanganaIndia Department of Ophthalmology RP Eye InstituteDelhi 110001DelhiIndia

In the retrospective study by Luo et al regarding clinical outcomes in gestational diabetes mellitus(GDM),the results are statistically significant in favour of the benefits of individualized nutrition interventions enumerated *** study has provided important evidence to improve maternal and child health in the Asian *** methods,however,appear to have considerable limi-tations,wherein the time point of diagnosis of GDM,severity of GDM,selection bias,compliance to therapy,important maternal covariates,observable microvascular abnormalities and the confounding effect of added insulin have not been *** have provided suggestions to improve the external validity of the study,including the use of Equator Network reporting guidelines and inclusion of overweight and obese patients in future studies.

关键词： Glucose intolerance Hyperglycemia Obesity Pregnancy Research methodology

Optimization of fused deposition modeling process parameters using a fuzzy inference system coupled with Taguchi philosophy

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Advances in Manufacturing 2017年第3期5卷 231-242页

作者： Saroj kumar Padhi ranjeet kumar Sahu S. S. Mahapatra Harish Chandra Das Anoop kumar Sood Brundaban Patro A. K. Mondal Department of Mechanical Engineering Institute of Technical Education and Research Siksha 'O' AnusandhanUniversity Bhubaneswar 751030 India Department of Mechanical Engineering SRM UniversityKattankulathur 603203 India Department of Mechanical Engineering National Institute ofTechnology Rourkela 769008 India Department of Manufacturing Engineering National Instituteof Foundry and Forging Technology Ranchi 834003 India Department of Mechanical Engineering National Institute of Technology Warangal 506004 India

Fused deposition modeling （FDM） is an additive manufacturing technique used to fabricate intricate parts in 3D, within the shortest possible time without using tools, dies, fixtures, or human intervention. This article empiri- cally reports the effects of the process parameters, i.e., the layer thickness, raster angle, raster width, air gap, part orientation, and their interactions on the accuracy of the length, width, and thicknes, of acrylonitrile-butadiene- styrene （ABSP 400） parts fabricated using the FDM tech- nique. It was found that contraction prevailed along the directions of the length and width, whereas the thickness increased from the desired value of the fabricated part. Optimum parameter settings to minimize the responses, such as the change in length, width, and thickness of the test specimen, have been determined using Taguchi＇s parameter design. Because Taguchi＇s philosophy fails to obtain uniform optimal factor settings for each response, in this study, a fuzzy inference system combined with the Taguchi philosophy has been adopted to generate a single response from three responses, to reach the specific target values with the overall optimum factor level settings. Further, Taguchi and artificial neural network predictive models are also presented in this study for an accuracy evaluation within the dimensions of the FDM fabricated parts, subjected to various operating conditions. The pre- dicted values obtained from both models are in good agreement with the values from the experiment data, with mean absolute percentage errors of 3.16 and 0.15, respectively. Finally, the confirmatory test results showed an improvement in the multi-response performance index of 0.454 when using the optimal FDM parameters over the initial values.

关键词： Fused deposition modeling (FDM) ·Dimensional accuracy · Fuzzy logic · Performance characteristic · Multi-response performance index (MRPI)Artificial neural network (ANN)

Impact of vericiguat on heart failure with reduced ejection fraction:a review

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Global Health Journal 2023年第3期7卷 123-129页

作者： Manisha Vohra Mohammad Amir Ian Osoro Amit Sharma ranjeet kumar Department of Pharmacy Practice ISF College of PharmacyMogaPunjab 142001India

Introduction:Heart failure is a major public health issue with a prevalence of about 26 million people *** nitric oxide availability,lower soluble guanylate cyclase(sGC)activity,and decreased cyclic guanosine monophosphate(cGMP)production are the causes of HF's *** prescribed under the brand name Verquvo was approved by *** and Drug Administration(FDA)in January *** is a novel agent and the first sGC stimulator which helps to treat patients suffering from heart failure with reduced ejection fraction(HFrEF).Objective:The mechanism of action(cGMP pathway)of vericiguat,its clinical trials,its use in the treatment of heart failure,and its possible future aspects in therapeutic recommendations are all covered in this *** will also raise awareness amongst healthcare professionals about the pharmacokinetic and pharmacodynamic parameters,dosing,administration,and drug-related problems of this new ***:Various databases for drug review were used in this review like PubMed,Medline,Google scholar,Drug bank,***,Medscape,and European society of cardiology guidelines.A total of 58 articles were screened out of which 39 articles were included in this ***:This review discusses vericiguat's mechanism of action(cGMP pathway),clinical studies,application in the treatment of heart failure,and potential future considerations in therapeutic *** will also educate healthcare professionals about the new drug's pharmacokinetics and pharmacodynamics,dose,administration,and drug-related ***:After hospitalization for HFrEF,the 5-year survival rate is just 25%,and disease morbidity and death are stil *** adjunctive therapy for individuals with heart failure and a low ejection fraction,vericiguat has a moderate level of ***'s efficacy as an adjunct therapy to different drugs used to cure HF has to be further ***'s safety and dosage in patients w

关键词： Vericiguat Heart failure with reduced ejection fraction Soluble guanylate cyclase stimulator Nitric oxide Cyclicguanosinemonophosphate

Human-Computer Interaction Using Deep Fusion Model-Based Facial Expression Recognition System

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Computer Modeling in Engineering & Sciences 2023年第5期135卷 1165-1185页

作者： Saiyed Umer ranjeet kumar Rout Shailendra Tiwari Ahmad Ali AlZubi Jazem Mutared Alanazi Kulakov Yurii Department of Computer Science&Engineering Aliah UniversityKolkata700156India Department of Computer Science and Engineering National Institute of TechnologySrinagarJammu and Kashmir190006India Department of Computer Science&Engineering Thapar UniversityPatiala147004India Computer Science Department King Saud UniversityRiyadh11451Saudi Arabia Department of Computer Engineering National Technical University of UkraineIgor Sikorsky Kyiv Polytechnic InstituteKyiv03056Ukraine

A deep fusion model is proposed for facial expression-based human-computer Interaction ***,image preprocessing,i.e.,the extraction of the facial region from the input image is ***,the extraction of more discriminative and distinctive deep learning features is achieved using extracted facial *** prevent overfitting,in-depth features of facial images are extracted and assigned to the proposed convolutional neural network(CNN)*** CNN models are then ***,the performance of each CNN model is fused to obtain the final decision for the seven basic classes of facial expressions,i.e.,fear,disgust,anger,surprise,sadness,happiness,*** experimental purposes,three benchmark datasets,i.e.,SFEW,CK+,and KDEF are *** performance of the proposed systemis compared with some state-of-the-artmethods concerning each *** performance analysis reveals that the proposed system outperforms the competitive methods in terms of various performance ***,the proposed deep fusion model is being utilized to control a music player using the recognized emotions of the users.

关键词： Deep learning facial expression emotions recognition CNN

Sentiment Analysis with Tweets Behaviour in Twitter Streaming API

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Computer Systems Science & Engineering 2023年第5期45卷 1113-1128页

作者： Kuldeep Chouhan Mukesh Yadav ranjeet kumar Rout Kshira Sagar Sahoo NZ Jhanjhi Mehedi Masud Sultan Aljahdali Computer Science and Engineering I.T.S Engineering CollegeGreater Noida201310India Computer Science and Engineering DPG Institute of Technology and ManagementGurgaon122004India Computer Science and Engineering National Institute of Technology SrinagarJammu and KashmirIndia Department of Computer Science and Engineering SRM UniversityAmaravatiAndhra Pradesh522240India School of Computer Science SCS Taylor’s UniversitySubang Jaya47500Malaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

Twitter is a radiant platform with a quick and effective technique to analyze users’perceptions of activities on social *** researchers and industry experts show their attention to Twitter sentiment analysis to recognize the stakeholder *** sentiment analysis needs an advanced level of approaches including adoption to encompass data sentiment analysis and various machine learning *** assessment of sentiment analysis in multiple fields that affect their elevations among the people in real-time by using Naive Bayes and Support Vector Machine(SVM).This paper focused on analysing the distinguished sentiment techniques in tweets behaviour datasets for various spheres such as healthcare,behaviour estimation,*** addition,the results in this work explore and validate the statistical machine learning classifiers that provide the accuracy percentages attained in terms of positive,negative and neutral *** this work,we obligated Twitter Application Programming Interface(API)account and programmed in python for sentiment analysis approach for the computational measure of user’s perceptions that extract a massive number of tweets and provide market value to the Twitter account *** distinguish the results in terms of the performance evaluation,an error analysis investigates the features of various stakeholders comprising social media analytics researchers,Natural Language Processing(NLP)developers,engineering managers and experts involved to have a decision-making approach.

关键词： Machine learning Naive Bayes natural language processing sentiment analysis social media analytics support vector machine Twitter application programming interface