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Lighting up aggregate emission of perylene diimide by leveraging polymerization-mediated through-space charge transfer and π-π stacking

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Science China Chemistry 2024年

作者： Suiying Ye Désirée Füglistaller Tian Tian Anjay Manian Sudhir kumar Celine Nardo Andrew J.Christofferson Salvy P.Russo Chih-Jen Shih Jean-Christophe Leroux Yinyin Bao Institute of Pharmaceutical Sciences Department of Chemistry and Applied Biosciences ETH Zurich Vladimir-Prelog-Weg 3 Institute for Chemical and Bioengineering Department of Chemistry and Applied Biosciences ETH Zurich Vladimir-Prelog-Weg 1-5 ARC Centre of Excellence in Exciton Science School of Science RMIT University School of Science STEM College RMIT University

The molecular engineering of fluorescent organic/polymeric materials, specifically those emitting in the deep red to near-infrared spectrum, is vital for advancements in optoelectronics and biomedicine. Perylene diimide(PDI), a well-known fluorescent scaffold, offers high thermal and photophysical stability but suffers from fluorescence quenching in solid or aggregate states due to intense π-π interactions. To mitigate this, simple and versatile methods for strong PDI aggregate emission without extensive synthetic demands are highly desirable but still lacking. Here, we report a straightforward strategy to enhance the solid-state emission of PDI by introducing certain degree of through-space charge transfer(TSCT) via controlled radical polymerization,which can efficiently distort the typical face-to-face PDI stacking, enabling greatly enhanced deep red emission. This is achieved by growing electron-donating star-shape styrenic(co)polymers from a multidirectional electron-accepting PDI initiator. The incorporation of polycyclic aromatic monomers further shifted the emission into the near-infrared region, albeit with a reduced intensity. Overall, the emission of the PDI-based TSCT polymers can be systematically manipulated by leveraging the balance between PDI stacking and the TSCT degree, as confirmed by both experimental study and theoretical calculations. Our approach circumvents complex synthetic procedures, offering highly emissive materials with large Stokes shifts and showing broad potential for optoelectronic technology.

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Rupture of the triceps tendon - A case series

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Chinese Journal of Traumatology 2016年第4期19卷 235-238页

作者： Atin Jaiswal Naiman deep.kacchap Yashwant Singh Tanwar Devendra kumar Birendra kumar Department of Orthopaedics Maya Hospital India Department of Orthopaedics Bokaro General Hospital Bokaro India Department of Orthopaedics PGIMER & Dr R.M.L Hospital New Delhi India

Triceps rupture is the least common among all tendon injuries. The usual mechanism of injury is a fall on an outstretched hand, although direct contact injuries have also been reported to cause this injury. The diagnosis of acute triceps tendon rupture may be missed, which can result in prolonged disability and delayed operative management. We presented three cases of acute triceps tendon rupture each at different site showing the spectrum of injury to the muscle and mechanism of injury and management were also discussed.

关键词： Triceps Tendon Rupture

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Twitter Data Analysis Using Hadoop and‘R’and Emotional Analysis Using Optimized SVNN

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Computer Systems Science & Engineering 2023年第1期44卷 485-499页

作者： k.Sailaja kumar H.k.Manoj D.Evangelin Geetha Department of CA M S Ramaiah Institute of Technology560054BangaloreIndia

Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints.A parallel computational environment pro-vided by Apache Hadoop can distribute and process the data over different desti-nation *** this paper,the Hadoop cluster with four nodes integrated with RHadoop,Flume,and Hive is created to analyze the tweets gathered from the Twitter *** stream data is collected relevant to an event/topic like IPL-2015,cricket,Royal Challengers Bangalore,kohli,Modi,from May 24 to 30,2016 using *** is used as a data warehouse to store the streamed *** analytics like maximum number of tweets by users,the average number of followers,and maximum number of friends are obtained using *** network graph is constructed with the user’s unique screen name and men-tions using‘R’.A timeline graph of individual users is generated using‘R’.Also,the proposed solution analyses the emotions of cricket fans by classifying their Twitter messages into appropriate emotional categories using the optimized sup-port vector neural network(OSVNN)classification *** attain better classi-fication accuracy,the performance of SVNN is enhanced using a chimp optimization algorithm(ChOA).Extracting the users’emotions toward an event is beneficial for prediction,but when coupled with visualizations,it becomes more ***-chart and wordcloud are generated to visualize the emotional analysis results.

关键词： Twitter apache Hadoop emotional analysis OSVNN ChoA timeline graph ﬂume hive

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A Hybrid Approach for COVID-19 Detection Using Biogeography-Based Optimization and deep Learning

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Computers, Materials & Continua 2022年第2期70卷 3717-3732页

作者： k.Venkatachalam Siuly Siuly M.Vinoth kumar Praveen Lalwani Manas kumar Mishra Enamul kabir Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Institute for Sustainable Industries&Liveable Cities Victoria UniversityMelbourne14428Australia Department of Computer Science and Engineering Anna UniversityUniversity College of EngineeringDindigul624622India School of Sciences University of Southern QueenslandToowoombaDarling Heights4350Australia

The COVID-19 pandemic has created a major challenge for countries all over the world and has placed tremendous pressure on their public health care *** early diagnosis of COVID-19 may reduce the impact of the *** achieve this objective,modern computation methods,such as deep learning,may be *** this study,a computational model involving deep learning and biogeography-based optimization(BBO)for early detection and management of COVID-19 is ***,BBO is used for the layer selection process in the proposed convolutional neural network(CNN).The computational model accepts images,such as CT scans,X-rays,positron emission tomography,lung ultrasound,and magnetic resonance imaging,as *** the comparative analysis,the proposed deep learning model CNNis compared with other existingmodels,namely,VGG16,InceptionV3,ResNet50,and *** the fitness function formation,classification accuracy is considered to enhance the prediction capability of the proposed *** results demonstrate that the proposed model outperforms InceptionV3 and ResNet50.

关键词： Covid-19 biogeography-based optimization deep learning convolutional neural network computer vision

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Feature Selection with deep Reinforcement Learning for Intrusion Detection System

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Computer Systems Science & Engineering 2023年第9期46卷 3339-3353页

作者： S.Priya k.Pradeep Mohan kumar Department of Computer Science and Engineering SRM Institute of Science and TechnologyRamapuramChennai600089India Department of Computing Technologies SRM Institute of Science and TechnologyKattankulathurChennai603203India

An intrusion detection system(IDS)becomes an important tool for ensuring security in the *** recent times,machine learning(ML)and deep learning(DL)models can be applied for the identification of intrusions over the network *** resolve the security issues,this paper presents a new Binary Butterfly Optimization algorithm based on Feature Selection with DRL technique,called BBOFS-DRL for intrusion *** proposed BBOFSDRL model mainly accomplishes the recognition of intrusions in the *** attain this,the BBOFS-DRL model initially designs the BBOFS algorithm based on the traditional butterfly optimization algorithm(BOA)to elect feature ***,DRL model is employed for the proper identification and classification of intrusions that exist in the ***,beetle antenna search(BAS)technique is applied to tune the DRL parameters for enhanced intrusion detection *** ensuring the superior intrusion detection outcomes of the BBOFS-DRL model,a wide-ranging experimental analysis is performed against benchmark *** simulation results reported the supremacy of the BBOFS-DRL model over its recent state of art approaches.

关键词： Intrusion detection security reinforcement learning machine learning feature selection beetle antenna search

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Risk factors for development of pneumothorax in patients with COVID-19 at a government health facility in North India:An exploratory case-control study

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Journal of Acute Disease 2023年第6期12卷 238-243页

作者： Manabendra Baidya Sandeep.kumar Pandey Hariom kumar Solanki Ankur deep Singh Samaksh Giri Syed Altamash Government Institute of Medical Sciences Greater NoidaUttar PradeshIndia201310

Objective:To explore risk factors for the development of pneumothorax in patients with COVID-19 during the second COVID-19 wave at a northern Indian level 2 health ***:Patients suffering from SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in India(January-June 2021)at a tertiary care teaching hospital and level 2 COVID care facility were *** who suffered from SARS-CoV-2 infection but did not develop pneumothorax were selected as matched *** details regarding demographics,clinical presentation,treatment,and outcome were recorded in a semi-structured ***:Eleven patients with COVID-19 developed pneumothorax during the study period and 40 controls were included in the *** cases were smokers in comparison to only two in the control *** 2 diabetes mellitus was the most common comorbidity among both *** change in C-reactive protein overall for cases and controls were around+14.0 and-41.9 and was statistically ***:Inflammatory markers like C-reactive protein have significant correlations with the development of pneumothorax in COVID-19-infected *** is no sex predisposition to develop pneumothorax among patients with COVID-19.

关键词： COVID-19 Pneumothorax Chest tube Correlates Risk factors Inflammatory marker C-reactive protein

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Exposure to Hypobaric Hypoxia and Reoxygenation Induces Transient Anxiety-Like Behavior in Rat

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Journal of Behavioral and Brain Science 2013年第8期3卷 591-602页

作者： Iswar Baitharu Vishal Jain Satya Narayan deep Gaurav kumar Govindasamy Ilavazhagan Defence Institute of Physiology and Allied Sciences Defence Research Development Organisation New Delhi India Guru Ghasidas Vishwavidyalaya Bilaspur India Defence Institute of Physiology and Allied Sciences Defence Research Development Organisation New Delhi India Hindustan University Chennai India

Chronic exposure to hypobaric hypoxia (HH) causes memory impairment and prolonged state of mental confusion. However, effect of high altitude exposure on mood state and its underlying mechanisms have been poorly studied.? Present study was undertaken to investigate the mood state alteration following chronic exposure to HH. Male Sprague Dawley rats were divided into five groups and exposed to hypoxia for 3, 7, 14 and 21 days in an animal decompression chamber at an altitude of 25,000ft. Anxiety-and depression-like behaviors were assessed by using various mazes along with changes in serotonin and glutamate level. Our study revealed a decrease in exploratory, grooming and rearing behavior in open field test following initial exposure to HH for 7 days without affecting the locomotory behavior. Initial exposure to HH-decreased time spent in open arm of elevated plus maze indicating induction of anxiety-like behavior which normalized on prolonged hypoxic exposure for 21 days. Hypoxic exposure for 7 days induced anhedonia and increased despair behavior in rat while there was steady improvement in these behaviors when exposed for 21 days. Decrease in serotonin level was noted in hippocampus along with elevated corticosterone and glutamate level which gradually decreased on prolonged exposure to HH. These findings suggest that initial exposure to HH increases transient anxiety-like behavior in rats followed by gradual improvement in mood state on prolonged exposure. Further, the study also indicates the involvement of serotonergic system in mood state alteration at high altitude following chronic exposure and reoxygenation.

关键词： Mood State Anhedonia Anxiety-Like Behaviors Hypobaric Hypoxia Depression Serotonin

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Vibrational Studies of Different Human Body Disorders Using FTIR Spectroscopy

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Open Journal of Applied Sciences 2014年第3期4卷 103-129页

作者： S. kumar Reena S. Chaudhary Sweety deep Chand Jain Department of Mathematics Shri K. K. Jain College Khatauli India Department of Neurology Safdarjang Hospital New Delhi India Department of Physics Medical Physics Research Laboratory D.A.V. (P.G.) College Muzaffar Nagar India

Some of the important features of the bands occur in the present study. The band called amide A is available in all the diseased and healthy controls and the frequency of the band ranges from 3380 cm﹣1 to 3480.74 cm﹣1. The band due to C-H band and called hydrocarbon band was found only in paralytic and Alzheimer diseased along with normal healthy controls. Carbide band (C=C) is found only in Duchenne muscular dystrophy, paralytic and Alzheimer’s disease patients. Amide I was intact in all disorders with normal persons. Peroxide band (O-O) was found in all the cases of study. Amide IV band was found in paralytic, muscular dystrophy, Alzheimer’s diseases and normal controls. The amide V band was found in Alzheimer’s diseases only. The appearance or disappearance of the bands is a good sign to understand the mechanisms at the molecular level. FTIR spectroscopy may help in the diagnosis of the disease at the early stage of the onset. This spectroscopy can be used nicely for the study of hair, vaginal fluid, nails, urine, mucus, semen, synovial fluid, blood, hemoproteins, skin, and tears for human beings. We can also use it to understand the effect of adulteration on food and paint technology. FTIR is an indicator to explore the changes occurring at molecular level.

关键词： Fourier Transform Infrared (FTIR) ImmunoglobuinG (IgG) Epilepsy (E) Migraine (M) Paralysis (P) Alzheimer’s Diseases (AD) Duchenne Muscular Dystrophy (DMD)

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An updated study of traditional medicines to the era of 1,3,4 oxadiazole derivatives for malaria treatment

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Traditional Medicine Research 2023年第1期8卷 36-42页

作者： Davinder kumar Harsh kumar Aakash deep Rakesh kumar Marwaha Department of Pharmaceutical Sciences Maharishi Dayanand UniversityRohtak 124001HaryanaIndia Department of Pharmaceutical Sciences Chaudhary Bansi Lal UniversityBhiwani 127021HaryanaIndia.

Discovering potent drug candidates requires new antimalarial *** this reason,antimalarial drug researchers focus on developing new drug candidates on promising *** the identification of these targets,a basic understanding of the metabolism and biochemical processes of malaria parasites such as Plasmodium falciparum can prove ***,malarial resistant parasites are becoming more and more significant issues as antimalarial medications *** drugs are becoming increasingly resistant,thus the search for new molecules is very important *** based combination therapies are becoming more popular for treating *** will ultimately lead to the selection of resistance due to their extensive and indiscriminate *** artemisinin-based combination therapies are therefore *** is an interest in finding suitable antimalarial compounds based on their potential effectiveness against *** potential activity of 1,3,4 oxadiazole analogues against malarial infections is a major draw of the search for suitable antimalarial *** review identifies existing antimalarial drugs that have own therapeutic effects and evaluating their feasibility for developing novel synthetic antimalarial derivatives.

关键词： antimalarial Plasmodium falciparum 1,3,4 oxadiazoles traditional medicines

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Enhanced visible green and 1.5μm radiative emission of Er^(3+)ions in Li_(2)O-PbO-Al_(2)O_(3)-B_(2)O_(3) glasses for photonic applications

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Journal of Rare Earths 2021年第5期39卷 520-525页

作者： Nisha Deopa Mukesh k.Sahu Sumandeep.kaur Aman Prasad k.Swapna Vinay kumar R.Punia A.S.Rao Department of Physics Chaudhary Ranbir Singh UniversityRohtak Bypass RoadJind126102HaryanaIndia Department of Applied Physics Delhi Technological UniversityBawana RoadNew Delhi110042India Department of Physics K L Educational FoundationVaddeswaram522502Guntur(Dt.)Andhra PradeshIndia Department of Electronics and Communication Engineering Graphic Era(Deemed to be University)Dehradun248002UttrakhandIndia

A series of Er^(3+)ions doped lithium lead alumino borate(LiPbAlB)glasses were synthesized via melt quench method and their structural,physical and optical properties were ***-Ofelt theory in correlation with the emission and absorption profiles was performed for the measurement of various radiative parameters for different transitions of Er^(3+)doped *** as-prepared glasses show deep green(550 nm)as well as NIR(1532 nm)emission at 380 and 980 nm excitation wavelengths,*** intensity of emission spectra increases with Er^(3+)ions concentration up to 1.5 mol%and beyond quenching is *** Dexter theory applied to the emission profiles reveals the interaction between Er^(3+)ions as dipole-dipole in *** color coordinates are found to fall in the green region of the visible *** is observed that 1.5 mol%of Er^(3+)ions concentration is optimum to exhibit the maximum quantum efficiency,branching ratios,gain bandwidth,emission cross-section,gain crosssection and aptly suitable for visible and NIR photonic applications.

关键词： Rare earths Glasses Judd-Ofelt theory Photoluminescence Dexter theory

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