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Quantum-dot cellular automata based reversible low power parity generator and parity checker design for nanocommunication

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Frontiers of Information Technology & Electronic Engineering 2016年第3期17卷 224-236页

作者： jadav chandra das Debashis DE Department of Computer Science and Engineering West Bengal University of Technology Department of Physics University of Western Australia

Quantum-dot cellular automata(QCA) is an emerging area of research in reversible computing. It can be used to design nanoscale circuits. In nanocommunication, the detection and correction of errors in a received message is a major factor. Besides, device density and power dissipation are the key issues in the nanocommunication architecture. For the first time, QCA-based designs of the reversible low-power odd parity generator and odd parity checker using the Feynman gate have been achieved in this study. Using the proposed parity generator and parity checker circuit, a nanocommunication architecture is proposed. The detection of errors in the received message during transmission is also explored. The proposed QCA Feynman gate outshines the existing ones in terms of area, cell count, and delay. The quantum costs of the proposed conventional reversible circuits and their QCA layouts are calculated and compared, which establishes that the proposed QCA circuits have very low quantum cost compared to conventional designs. The energy dissipation by the layouts is estimated, which ensures the possibility of QCA nano-device serving as an alternative platform for the implementation of reversible circuits. The stability of the proposed circuits under thermal randomness is analyzed, showing the operational efficiency of the circuits. The simulation results of the proposed design are tested with theoretical values, showing the accuracy of the circuits. The proposed circuits can be used to design more complex low-power nanoscale lossless nanocommunication architecture such as nano-transmitters and nano-receivers.

关键词：量子细胞自动机可逆电路传统设计奇偶校验发生器校验器元胞自动机低功率

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Reversible binary subtractor design using quantum dot-cellular automata

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Frontiers of Information Technology & Electronic Engineering 2017年第9期18卷 1416-1429页

作者： jadav chandra das Debashis DE Department of Computer Science and Engineering West Bengal University of Technology Kolkata 700064 India Department of Physics University of Western Australia WA 6009 Australia

在纳米技术领域,量子元胞自动机(quantum dot-cellular automata,QCA)可作为传统互补金属氧化物半导体(complementary metal oxide semiconductor,CMOS)电路的替代方案,具有可观的发展前景。QCA设备密度高,运行速度快,且功耗极低。在QCA... 详细信息

在纳米技术领域,量子元胞自动机(quantum dot-cellular automata,QCA)可作为传统互补金属氧化物半导体(complementary metal oxide semiconductor,CMOS)电路的替代方案,具有可观的发展前景。QCA设备密度高,运行速度快,且功耗极低。在QCA中,可逆逻辑有着广泛应用。研究者已开发多个基于QCA的可逆逻辑电路,但基于QCA的可逆二进制减法器研究却不多见。QCA低功耗和高电流密度的特点,使其可用于设计纳米尺度节能逻辑电路。然而,其对大量逻辑门的需求和不利的无用输出,可能限制基于QCA逻辑电路的功能。我们利用QCA设计并实现了一个DG门,实现了DG门的普遍特征。利用该DG门的QCA部分,可以获得新的可逆二进制减法器。相比现有可逆减法器,我们设计的减法器量子成本低,无用输出少。电路设计与模拟基于QCA Designer-2.0.3软件。

关键词：量子元胞自动机(quantum dot-cellular automata,QCA) 可逆逻辑 DG门二进制减法器量子成本

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Nanoscale cryptographic architecture design using quantum-dot cellular automata

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Frontiers of Information Technology & Electronic Engineering 2019年第11期20卷 1578-1586页

作者： Bikash DEBNATH jadav chandra das Debashis DE Department of Computer Science and Engineering Swami Vivekananda Institute of Science and TechnologyWest Bengal 700145India Department of Computer Science and Engineering West Bengal University of TechnologyKolkata 700064India

Quantum-dot cellular automata (QCA) based on cryptography is a new paradigm in the field of nanotechnology. The overall performance of QCA is high compared to traditional complementary metal-oxide semiconductor (CMOS) technology. To achieve data security during nanocommunication, a cryptography-based application is proposed. The devised circuit encrypts the input data and passes it to an output channel through a nanorouter cum data path selector, where the data is decrypted back to its original form. The results along with theoretical implication prove the accuracy of the circuit. Power dissipation and circuit complexity of the circuit have been analyzed.

关键词： Quantum-dot cellular automata(QCA) Majority gate cryptography Encryption Decryption Nanorouter

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Nanofluids:Critical issues,economics and sustainability perspectives

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Particuology 2024年第4期87卷 147-172页

作者： Sayantan Mukherjee Sylwia Wcislik Purna chandra Mishra Paritosh Chaudhuri Instiute for Plasma Research Gandhinagar GujaratIndia Department of Building Physics and Renewable Energy Faculy of Environmental EngineeringGeodesy and Renewable EnergyKielce University of TechnologyAleja Tysiaclecia Panstwa Polskiego 7.25-314 KielcePoland Thermal Research Laboratory(TRL) School of Mechanical Engineering.KIT Deemed to be UniversityBhubaneswarOdishaIndia Homi Bhabha National Instirute(HBNI) AnushaktinagarMumbai 400094India

According to the Scopus database,every year several hundreds of new research papers are published in the field of nanofluids.This area is attracting growing attention because of the significant improvement in the heat transfer and energy efficiency of the systems working with nanofluids.However,as results from numerous scientific studies conducted by independent laboratories,there are several fundamental problems related to the unambiguous determination of their physical properties,their production,and economic use.Although most studies often focus on one issue or cover one kind of research or math-ematical correlation,this review paper provides insights into many problems during nanofluids research by proposing solving possibilities,which is the strength of our work.The paper discusses the case of nanofluids quality,and morphology,thermal conductivity enhancement and the discrepancies in mathematical modelling,errors in dimensional and similarity analysis,nanofluid erosion,safety guide-lines,and toxicology tips.Moreover,the sustainability and economics of nanofluids usage are also being discussed.

关键词： Nanofluids Thermal conductivity Stability Erosion Economics Sustainability

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

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生殖与发育医学(英文) 2024年第2期8卷 121-129页

作者： Sekar Praveen Kumar chandra Veerabathiran Ramakrishnan Human Cytogenetics and Genomics Laboratory Faculty of Allied Health Sciences Chettinad Academy of Research and Education Kelambakkam Tamil Nadu India

Genetic factors play a pivotal role in the complex relationship between obesity and infertility. This article delves into the genetics of obesity-related infertility, focusing on the essential genes and mechanisms in both sexes. We 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 infertility. The 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 roles. Genetic 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 males. Hormonal dysregulation influenced by genetic markers, such as leptin receptor (LEPR), tumor necrosis factor-alpha (TNF-α), and interleukin-6 (IL-6), was also examined. Genetic factors play a vital role in obesity-related infertility in both sexes. Genes involved in metabolism, hormonal regulation, and inflammation contribute to the complex association between obesity and infertility. Epigenetic changes further complicate the relationship. Understanding 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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An Autopsy and Histopathology-based Study to Ascertain the Cause of Death of Brought Dead Cases

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Journal of Forensic Science and Medicine 2024年第1期10卷 28-33页

作者： Chandan Bandyopadhyay Prabir chandra Paul Prabhas chandra Chakraborty Department of Forensic and State Medicine Medical CollegeKolkataWest BengalIndia Department of Pathology Jagannath Gupta Institute of Medical Science and HospitalKolkataWest BengalIndia Department of Forensic Medicine and Toxicology NRS Medical College and HospitalKolkataand M.G.M Medical College and L S.K HospitalKishanganjBiharIndia

Background and Objectives:The cases of apparent natural deaths are encountered in the hospital casualties who are noted dead at the time of the first medical attention and as such are labeled as“Brought Dead.”These include the cases of sudden death,unexplained death,and unattended death.The cause of such deaths is reported in the literature to emanate principally from the cardiovascular system,though there are some documented geographical,racial,and other variations.In the present study,we endeavored to detect the cause of such natural deaths in terms of the disease and the organ system involved,in the deceased individuals of the contemporary Bengali population,with cases due to obvious unnatural causes being excluded.Materials and Methods:An observational,cross-sectional study with 105(n=105,male:89,female:16)study subjects of age group of 20-80 years,selected by systemic random sampling,from the brought dead subjects coming to the mortuary of the NRS Medical College and Hospital for medicolegal autopsy from April 2011 to March 2012,excluding cases having a history of the obvious unnatural event.Organ system-wise gross examination was done,followed by tissue sampling for histopathological examination.The case-wise findings were tabulated and analyzed for descriptive statistics using SPSS software.Results:In the present study,89 cases were male(84.8%)and 16 cases were female(15.2%),which reflects a male:female ratio of 5.56:1.The dead bodies are mostly recovered from the footpaths(47 cases,44%).Sixty-four(61%)cases are of known identity.In 54 cases out of 105(51.4%),morbid pathology is detected in the respiratory system(RS),lobar pneumonia,and cavitary pulmonary tuberculosis being the most frequent disease entity,in both genders.Fifty-one years-sixty-five years is found to be the most commonly affected age group,in both genders.Interpretation and Conclusions:The present study shows that the most common organ system involved in brought dead cases is the RS,which is supported by a few Indian studies.

关键词： Autopsy brought dead cause of death histopathology

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Climate-change habitat shifts for the vulnerable endemic oak species(Quercus arkansana Sarg.)

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Journal of Forestry Research 2024年第1期35卷 117-127页

作者： Suresh chandra Subedi Seth Drake Binaya Adhikari Mark V.Coggeshall Department of Biological Sciences Arkansas Tech UniversityRussellvilleARUSA Department of Biology University of KentuckyLexingtonKYUSA School of Natural Resources University of Missouri203 ABNR BuildingColumbiaMO 65211USA

Quercus arkansana(Arkansas oak)is at risk of becoming endangered,as the total known population size is represented by a few isolated populations.The potential impact of climate change on this species in the near future is high,yet knowledge of its predicted effects is limited.Our study utilized the biomod2 R package to develop habi-tat suitability ensemble models based on bioclimatic and topographic environmental variables and the known loca-tions of current distribution of Q.arkansana.We predicted suitable habitats across three climate change scenarios(SSP1-2.6,SSP2-4.5,and SSP5-8.5)for 2050,2070,and 2090.Our findings reveal that the current suitable habitat for Q.arkansana is approximately 127,881 km^(2) across seven states(Texas,Arkansas,Alabama,Louisiana,Mississippi,Georgia,and Florida);approximately 9.5%is encompassed within state and federally managed protected areas.Our models predict that all current suitable habitats will disap-pear by 2050 due to climate change,resulting in a northward shift into new regions such as Tennessee and Kentucky.The large extent of suitable habitat outside protected areas sug-gests that a species-specific action plan incorporating pro-tected areas and other areas may be crucial for its conserva-tion.Moreover,protection of Q.arkansana habitat against climate change may require locally and regionally focused conservation policies,adaptive management strategies,and educational outreach among local people.

关键词： Biomod2 Climate change Conservation Habitat loss Habitat shift Species distribution modeling Oak species

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Efficacy of intraovarian autologous platelet-rich plasma administration in women with low ovarian reserve: A systematic review and meta-analysis

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Asian pacific Journal of Reproduction 2024年第2期13卷 60-67页

作者： Yasmin Sabina Sa’diah Agung Dewanto Lukman A chandra Department of Obstetrics and Gynecology Faculty of MedicinePublic Health and NursingUniversitas Gadjah MadaYogyakartaIndonesia Department of Pharmacology and Therapy Faculty of MedicinePublic Health and NursingUniversitas Gadjah MadaYogyakartaIndonesia

Objective:To conduct a systematic examination and meta-analysis of the most reliable data from experimental studies evaluating the efficacy of autologous platelet-rich plasma(PRP)on low ovarian reserve.Methods:A comprehensive search was performed utilizing pertinent search terms across electronic databases,including PubMed,Cochrane,and Google Scholar.We included studies that assigned infertile women with low ovarian reserve in experimental studies.Ovarian reserve parameters were measured before and after PRP injection into ovaries.The data of each study was retrieved and subsequently compiled.Results:Of 301 articles collected and reviewed,six studies were finally included in the meta-analysis.Following PRP injection,infertile women showed a non-significant increase in anti-Mullerian hormone(AMH)level(MD=0.10;95%CI-0.04,0.23),a significant increase in antral follicular count(AFC)(MD=1.88;95%CI 0.47,3.29),and a non-significant reduction in follicle-stimulating hormone(FSH)level(MD=-0.22;95%CI-8.32,7.87).Conclusions:Autologous PRP may increase AFC,but not AMH.Although it is found beneficial in enhancing ovarian reserve(AFC),further research with strong evidence is still required.

关键词： Platelet-rich plasma Low ovarian reserve Ovarian rejuvenation

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Assessment of soil erosion in the Irga watershed on the eastern edge of the Chota Nagpur Plateau,India

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Regional Sustainability 2024年第1期5卷 54-68页

作者： Ratan PAL Buddhadev HEMBRAM Narayan chandra JANA Department of Geography the University of BurdwanWest Bengal-713104India

Human activities to improve the quality of life have accelerated the natural rate of soil erosion.In turn,these natural disasters have taken a great impact on humans.Human activities,particularly the conversion of vegetated land into agricultural land and built-up area,stand out as primary contributors to soil erosion.The present study investigated the risk of soil erosion in the Irga watershed located on the eastern fringe of the Chota Nagpur Plateau in Jharkhand,India,which is dominated by sandy loam and sandy clay loam soil with low soil organic carbon(SOC)content.The study used the Revised Universal Soil Loss Equation(RUSLE)and Geographical Information System(GIS)technique to determine the rate of soil erosion.The five parameters(rainfall-runoff erosivity(R)factor,soil erodibility(K)factor,slope length and steepness(LS)factor,cover-management(C)factor,and support practice(P)factor)of the RUSLE were applied to present a more accurate distribution characteristic of soil erosion in the Irga watershed.The result shows that the R factor is positively correlated with rainfall and follows the same distribution pattern as the rainfall.The K factor values in the northern part of the study area are relatively low,while they are relatively high in the southern part.The mean value of the LS factor is 2.74,which is low due to the flat terrain of the Irga watershed.There is a negative linear correlation between Normalized Difference Vegetation Index(NDVI)and the C factor,and the high values of the C factor are observed in places with low NDVI.The mean value of the P factor is 0.210,with a range from 0.000 to 1.000.After calculating all parameters,we obtained the average soil erosion rate of 1.43 t/(hm^(2)•a),with the highest rate reaching as high as 32.71 t/(hm^(2)•a).Therefore,the study area faces a low risk of soil erosion.However,preventative measures are essential to avoid future damage to productive and constructive activities caused by soil erosion.This study also identifies the spatial distribution of soil erosion r

关键词： Soil erosion Soil organic carbon Rainfall-runoff erosivity factor Soil erodibility factor Slope length and steepness factor Cover-management factor Support practice factor Irga watershed

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Clinically adaptable machine learning model to identify early appreciable features of diabetes

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Intelligent Medicine 2024年第1期4卷 22-32页

作者： Nurjahan Nipa Mahmudul Hasan Riyad Shahriare Satu Walliullah Koushik chandra Howlader Mohammad Ali Moni Department of Information and Communication Technology Bangabandhu Sheikh Mujibur Rahman Digital UniversityBangladeshKaliakairGazipur1750 Bangladesh Department of Applied Mathematics Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of Management Information Systems Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of Computer Science and Telecommunication Engineering Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of Computer Science North Dakota State UniversityFargo58105NDUnited States School of Health and Rehabilitation Sciences Faculty of Health and Behavioural SciencesThe University of QueenslandSt LuciaQLD 4072Australia

Objective Diabetes mellitus is a serious disease where the body of affected patients are failed to produce enough insulin that causes an abnormality of blood sugar.This disease happens for a number of reasons including modern lifestyle,lethargic attitude,unhealthy food consumption,family history,age,overweight,etc.The aim of this study was to propose a machine learning based prediction model that detected diabetes at the beginning.Methods In this work,we collected 520 patients records from the University of California,Irvine(UCI)machine learning repository of Sylhet Diabetes Hospital,Sylhet.Then,a similar questionnaire of that hospital was followed and assembled 558 patients records from all over Bangladesh through this questionnaire.However,we accumulated patient records of these two datasets.In the next step,these datasets were cleaned and applied thirty five state-of-arts classifiers such as logistic regression(LR),K nearest neighbors(KNN),support vector classifier(SVC),Nave Byes(NB),decision tree(DT),random forest(RF),stochastic gradient descent(SGD),Perceptron,AdaBoost,XGBoost,passive aggressive classifier(PAC),ridge classifier(RC),Nu-support vector classifier(NuSVC),linear support vector classifier(LSVC),calibrated classifier CV(CCCV),nearest centroid(NC),Gaussian process classifier(GPC),multinomial NB(MNB),complement NB,Bernoulli NB(BNB),categorical NB,Bagging,extra tree(ET),gradiant boosting classifier(GBC),Hist gradiant boosting classifier(HGBC),one vs rest classifier(OVsRC),multi-layer perceptron(MLP),label propagation(LP),label spreading(LS),stacking,ridge classifier CV(RCCV),logistic regression CV(LRCV),linear discriminant analysis(LDA),quadratic discriminant analysis(QDA),and light gradient boosting machine(LGBM)to explore best stable predictive model.The performance of the classifiers has been measured using five metrics such as accuracy,precision,recall,F1-score,and area under the receiver operating characteristic.Finally,these outcomes were interpreted using Shapley additive explanations methods a

关键词： Diabetes Early features Machine learning Classification

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