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Cr-induced fusion reactions to synthesize superheavy elements

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Nuclear science and Techniques 2024年第5期35卷 122-130页

作者： s.madhu H.C.Manjunatha N.sowmya B.M.Rajesh L.seenappa R.s.susheela Department of Physics R V College of EngineeringBangalore 560074India Visvesvaraya Technological University BelagaviKarnataka 590018India Department of Physics Government First Grade CollegeSrinivasapurKarnataka 563135India Department of Physics Government First Grade CollegeDevanahallyKarnataka 562110India Department of Physics Government First Grade CollegeMulbagalKarnataka 563131India Department of Physics Government First Grade collegeNanjangudOoty RoadMysore 571301India

We investigated ^(50,52-54)Cr-induced fusion reactions for the synthesis of the superheavy element in the 104≤Z≤122 *** cross sections produced in this investigation using ^(54)Cr projectiles were compared with those obtained in prior *** estimated cross sections from this analysis are consistent with the findings of prior *** the current study,the predicted cross section was found to be 42fb at 236 MeV for ^(53)Cr+^(243)Am,23.2 fb at 236 MeV for ^(54)Cr+^(247)Cm,95.6 fb at 240 MeV for ^(53)Cr+248Bk,and 1.33 fb at 242 MeV for ^(53)Cr+***,these projected cross sections with excitation energy and beam energy will be useful in future Cr-induced fusion reaction investigations.

关键词： Fusion cross sections Compound nucleus formation probability survival probability Evaporation residue cross sections

Prediction of Geopolymer Concrete Compressive strength Using Convolutional Neural Networks

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Computer Modeling in Engineering & sciences 2024年第5期139卷 1455-1486页

作者： Kolli Ramujee Pooja sadula Golla madhu sandeep Kautish Abdulaziz s.Almazyad Guojiang Xiong Ali Wagdy Mohamed Department of Civil Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Computer science LBEF Campus(Asia Pacific University of Technology&InnovationMalaysia)Kathmandu44600Nepal Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Guizhou Key Laboratory of Intelligent Technology in Power system College of Electrical EngineeringGuizhou UniversityGuiyang550025China Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied science Research Center Applied Science Private UniversityAmmanJordan

Geopolymer concrete emerges as a promising avenue for sustainable development and offers an effective solution to environmental *** attributes as a non-toxic,low-carbon,and economical substitute for conventional cement concrete,coupled with its elevated compressive strength and reduced shrinkage properties,position it as a pivotal material for diverse applications spanning from architectural structures to transportation *** this context,this study sets out the task of using machine learning(ML)algorithms to increase the accuracy and interpretability of predicting the compressive strength of geopolymer concrete in the civil engineering *** achieve this goal,a new approach using convolutional neural networks(CNNs)has been *** study focuses on creating a comprehensive dataset consisting of compositional and strength parameters of 162 geopolymer concrete mixes,all containing Class F fly *** selection of optimal input parameters is guided by two distinct *** first criterion leverages insights garnered from previous research on the influence of individual features on compressive *** second criterion scrutinizes the impact of these features within the model’s predictive *** to enhancing the CNN model’s performance is the meticulous determination of the optimal *** a systematic trial-and-error process,the study ascertains the ideal number of epochs for data division and the optimal value of k for k-fold cross-validation—a technique vital to the model’s *** model’s predictive prowess is rigorously assessed via a suite of performance metrics and comprehensive score ***,the model’s adaptability is gauged by integrating a secondary dataset into its predictive framework,facilitating a comparative evaluation against conventional prediction *** unravel the intricacies of the CNN model’s learning trajectory,a loss plot is deployed to elucidate its learning rat

关键词： Class F fly ash compressive strength geopolymer concrete prediction deep learning convolutional neural network

Unveiling childhood asthma:Exploring biomarkers,zinc,and beyond

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World Journal of Clinical Pediatrics 2024年第2期13卷 7-10页

作者： Amit agrawal Department of Pediatrics Gandhi Medical CollegeHamidia Hospital CampusBhopal 462022India

This editorial discusses a case-control study by Ibrahim et al,published in the recent issue of the World Journal of Clinical *** bronchial asthma is a chronic inflammatory respiratory *** was found that an increase in oxidative stress leads to a decrease in antioxidants causing oxidative damage to mitochondrial respiratory chain complexes resulting in the inflammation of the airway,hypersecretion of mucus causing a cascade of clinical manifestations ranging from recurrent episodes of coughing,wheezing,and breathlessness to shortness of *** oxidative stress mediates the inflammatory response in asthma,the supplementation of anti-oxidants can be one strategy to manage this *** is one such antioxidant that has attracted much attention about asthma and airway *** is a crucial trace element for human metabolism that helps to regulate gene expression,enzyme activity,and protein *** from zinc,free serum ferritin levels are also elevated in case of *** previous studies found that ferritin levels may also help determine the pathology of disease and predict prognosis in addition to tracking disease ***,this study's results were different from the findings of the previous studies and the zinc levels did not show a significant difference between asthmatic children and non-asthmatic children but ferritin levels were significantly high in asthmatic children as compared to the ***,the possible role of the biochemical nutritional assessment including zinc and ferritin as biomarkers for asthma severity should be assessed in the future.

关键词： Asthma Biomarker Children Zinc Ferritin Immunoglobulin E

A comprehensive review on pharmacognosy, phytochemistry and pharmacological activities of 8 potent Prunus species of southeast Asia

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Journal of Traditional Chinese Medicine 2024年第3期44卷 620-628页

作者： shikha agrawal Adarsh Kumar Ankit Kumar singh Harshwardhan singh suresh Thareja Pradeep Kumar Department of Pharmaceutical sciences and Natural Products Central University of Punjab

Genus Prunus comprising around 430 species is a vast important genus of family Rosaceae, subfamily amygdalaoidae. Among all 430 species, around 19 important species are commonly found in Indian subcontinent due to their broad nutritional and economic importance. some most common species of genus Prunus are Prunus amygdalus, Prunus persica, Prunus armeniaca, Prunus avium, Prunus cerasus, Prunus cerasoides, Prunus domestica, Prunus mahaleb, etc. A newly introduced species of Prunus i.e Prunus sunhangii is recently discovered which is morphologically very similar to Prunus cerasoides. Plants of Prunus species are short to medium-sized deciduous trees mainly found in the northern hemisphere. In India and its subcontinent,it extends from the Himalayas to sikkim, Meghalaya,Bhutan, Myanmar etc. Different Prunus species have been extensively studied for their morphological,microscopic, pharmacological and phytoconstituents characteristics. Total phenolic content of Prunus species explains the presence of phenols in high quantity and pharmacological activity due to phenols. Phytochemical screening of species of genus Prunus shows the presence of wide phytoconstituents which contributes in their pharmacological significance and reveals the therapeutic potential and traditional medicinal significance of this genus. Genus Prunus showed a potent antioxidant activity analyzed by 1,1-diphenyl-2-picryl-hydrazyl radical assay. Plant species belonging to the genus Prunus is widely used traditionally for the treatment of various disorders. some specific Prunus species possess potent anticancer, anti-inflammatory,hypoglycemic etc. activity which makes the genus more interesting for further research and findings. This review is an attempt to summarize the comprehensive study of Prunus species from its distribution, morphological characters to phytoconstituents, and pharmacological activity.

关键词： Prunus Rosaceae antineoplastic agents distribution hypoglycemic agents phytochemistry review

Transcranial direct current stimulation as early augmentation in adolescent obsessive compulsive disorder:A pilot proof-of-concept randomized control trial

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World Journal of Clinical Pediatrics 2024年第2期13卷 161-170页

作者： Aditya agrawal Vivek Agarwal sujita Kumar Kar Amit Arya Department of Psychiatry King George Medical UniversityUttar PradeshLucknow 226003India

BACKGROUND Transcranial direct current stimulation(tDCs)is proven to be safe in treating various neurological conditions in children and *** is also an effective method in the treatment of OCD in *** To assess the safety and efficacy of tDCs as an add-on therapy in drug-naive adolescents with *** We studied drug-naïve adolescents with OCD,using a Children’s Yale-Brown obsessive-compulsive scale(CY-BOCs)scale to assess their *** active and sham groups were given fluoxetine,and we applied cathode and anode over the supplementary motor area and deltoid for 20 min in 10 *** occurred at 2,6,and 12 wk using *** Eighteen adolescents completed the study(10-active,8-sham group).CY-BOCs scores from baseline to 12 wk reduced significantly in both groups but change at baseline to 2 wk was significant in the active group *** mean change at 2 wk was more in the active group(11.8±7.77 vs 5.25±2.22,P=0.056).Adverse effects between the groups were *** tDCs is safe and well tolerated for the treatment of OCD in ***,there is a need for further studies with a larger sample population to confirm the effectiveness of tDCs as early augmentation in OCD in this population.

关键词： Adolescents Early augmentation Obsessive compulsive disorder safety Transcranial direct current stimulation

Explainable Artificial Intelligence(XAI)Model for Cancer Image Classification

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Computer Modeling in Engineering & sciences 2024年第10期141卷 401-441页

作者： Amit singhal Krishna Kant agrawal Angeles Quezada Adrian Rodriguez Aguiñaga samantha Jiménez satya Prakash Yadav Department of Computer science&Engineering Raj Kumar Goel Institute of TechnologyGhaziabad201017India Department of school of Computing science and Engineering Galgotias UniversityGreater Noida203201India Tecnológico Nacional de México Campus Tijuana Baja California22414México Universidad Autónoma de Baja California TijuanaBaja California22414México Department of Computer science and Engineering G.LBajaj Institute of Technology and Management(GLBITM)Affiliated to Dr.A.P.J.Abdul Kalam Technical UniversityLucknow201306India school of Computer science Engineering and Technology(sCsET) Bennett UniversityGreater Noida201310India

The use of Explainable Artificial Intelligence(XAI)models becomes increasingly important for making decisions in smart healthcare *** is to make sure that decisions are based on trustworthy algorithms and that healthcare workers understand the decisions made by these *** models can potentially enhance interpretability and explainability in decision-making processes that rely on artificial ***,the intricate nature of the healthcare field necessitates the utilization of sophisticated models to classify cancer *** research presents an advanced investigation of XAI models to classify cancer *** describes the different levels of explainability and interpretability associated with XAI models and the challenges faced in deploying them in healthcare *** addition,this study proposes a novel framework for cancer image classification that incorporates XAI models with deep learning and advanced medical imaging *** proposed model integrates several techniques,including end-to-end explainable evaluation,rule-based explanation,and useradaptive *** proposed XAI reaches 97.72%accuracy,90.72%precision,93.72%recall,96.72%F1-score,9.55%FDR,9.66%FOR,and 91.18%*** will discuss the potential applications of the proposed XAI models in the smart healthcare *** will help ensure trust and accountability in AI-based decisions,which is essential for achieving a safe and reliable smart healthcare environment.

关键词： Explainable artificial intelligence artificial intelligence XAI healthcare cancer image classification

Recent updates on nano-phyto-formulations based therapeutic intervention for cancer treatment

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Oncology Research 2024年第1期32卷 19-47页

作者： ABHIsHEK WAHI MAMTA BIsHNOI NEHA RAINA MEGHNA AMRITA sINGH PIYUsH VERMA PIYUsH KUMAR GUPTA GINPREET KAUR HARDEEP sINGH TULI madhu GUPTA Department of Pharmaceutics School of Pharmaceutical SciencesDelhi Pharmaceutical Sciences and Research University(DPSRU)Pushp ViharNew Delhi110017India Department of Pharmaceutical sciences Gurugram UniversityHaryana122003India Department of Life sciences Sharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaUttar Pradesh201310India Department of Biotechnology Graphic Era(Deemed to be University)DehradunUttarakhand248002India Department of Pharmacology Shobhaben Pratapbhai Patel School of Pharmacy&Technology ManagementSVKM’s NMIMSVile Parle(West)Mumbai400056India Department of Bio-sciences and Technology Maharishi Markandeshwar Engineering CollegeMaharishi Markandeshwar(Deemed to be University)MullanaAmbala133207India

Cancer is a leading cause of death globally,with limited treatment options and several *** agents often result in toxicity which long-term conventional *** are natural constituents that are more effective in treating various diseases with less toxicity than the chemotherapeutic agents providing alternative therapeutic approaches to minimize the *** phytoconstituents act in several ways and deliver optimum effectiveness against ***,the effectiveness of phyto-formulations in the management of cancers may be constrained due to challenges related to inadequate solubility,bioavailability,and *** presents a promising avenue for transforming current cancer treatment methods through the incorporation of phytochemicals into nanosystems,which possess a range of advantageous characteristics such as biocompatibility,targeted and sustained release capabilities,and enhanced protective *** holds significant potential for future advancements in cancer ***,this review aims to provide intensive literature on diverse nanocarriers,highlighting their applications as cargos for phytocompounds in ***,it offers an overview of the current advancements in the respective field,emphasizing the characteristics that contribute to favourable outcomes in both in vitro and in vivo ***,clinical development and regulatory concerns are also discussed to check on the transformation of the concept as a promising strategy for combination therapy of phytochemicals and chemotherapeutics that could lead to cancer management in the future.

关键词： Phyto-formulations Cancer Nanocarriers Nanotechnology Clinical development

Patient-centric periodontal research:A pioneering application of patient-reported outcome measures

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World Journal of Clinical Cases 2024年第18期12卷 3281-3284页

作者： Amit Arvind agrawal Department of Peridontology and Implantology Mahatma Gandhi Vidyamandir’s Karmaveer Bhausaheb Hiray Dental College and HospitalNasik 422003India

Conventional dentistry or periodontal research often ignores the human component in favor of clinical outcomes and biological *** research is driven by the statistical significance of outcome parameters rather than the satisfaction level of the *** this context,patient-centric periodontal research(PCPR)is an approach that considers the patient´s feedback concerning their functional status,experience,clinical outcomes,and accessibility to their *** is argued that data self-reported by the patient might have low reliability owing to the confounding effect of their personal belief,cultural background,and social and economic ***,literature has shown that the incorporation of“patient-centric outcome”components considerably enhances the validity and applicability of research *** in the results of different studies might be due to the use of different and non-standardized assessment *** overcome this problem,this editorial enlists various reliable tools available in the *** conclusion,we advocate that the focus of researchers should shift from mere periodontal research to PCPR so that the results can be effectively applied in clinical settings and the therapeutic strategy can also change from mere periodontal therapy to patient-centric periodontal therapy.

关键词： Patient-centered care Clinical research surrogate endpoints Quality of life Oral health Patient reported treatment outcomes

Location Prediction from social Media Contents using Location Aware Attention LsTM Network

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

作者： madhur Arora sanjay agrawal Ravindra Patel Department of Computer Application National Institute of Technical Teachers Training and Research Department of Computer Application University Institute of Technology Rajiv Gandhi Proudyogiki Vishwavidyalaya

Location prediction in social media， a growing research field， employs machine learning to identify users’ locations from their online activities. This technology， useful in targeted advertising and urban planning， relies on natural language processing to analyze social media content and understand the temporal dynamics and structures of social networks. A key application is predicting a Twitter user’s location from their tweets， which can be challenging due to the short and unstructured nature of tweet text. To address this challenge， the research introduces a novel machine learning model called the location-aware attention LsTM (LAA-LsTM). This hybrid model combines a Long short-Term Memory (LsTM) network with an attention mechanism. The LsTM is trained on a dataset of tweets， and the attention network focuses on extracting features related to latitude and longitude， which are crucial for pinpointing the location of a user’s tweet. The result analysis shows approx. 10% improvement in accuracy over other existing machine learning approaches.

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