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Impacts of soil fertility management on productivity and economics of rice and fodder intercropping systems under rainfed conditions in Odisha,India

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Journal of Integrative Agriculture 2021年第12期20卷 3114-3126页

作者： dilip kumar BASTIA Subrat kumar BEHERA Manas Ranjan PANDA All India Coordinated Research Project for Dryland Agriculture Odisha University of Agriculture and Technology(OUAT)Phulbani 762001India

Under small and marginal farm conditions,allocation of land exclusively for forages is not ***,integration of forages in existing crop geometry can ensure production of grain and fodder,simultaneously under rainfed *** experiment was conducted to study the effect of different nutrient management practices on rice and fodder intercropping systems under rainfed conditions during *** intercropping system comprised(i)sole rice(R),(ii)rice and cowpea(5:2)(CP)and(iii)rice and ricebean(5:2)(RB)whereas the different nutrient management practices comprised(i)application of farm yard manure(FYM)at 5t ha^(-1)(farmers'practice)(N_(1)),(ii)application of inorganic fertilizer(recommended dose of fertilizer(RDF)of rice,60:30:30 kg ha^(-1) of N:P_(2)O_(5):K_(2)O)(N_(2))and(iii)application of both FYM at 5t ha^(-1) and 50%of RDF inorganic fertilizer(N3).The results of the experiment revealed that the growth attribute such as leaf area was influenced significantly when fodder crops were taken as intercrops because rice plant was getting more nitrogen from soil due to nitrogen fixation of leguminous fodder *** the nutrient management practices,significant differences in leaf area were found beween N2 and and between N_(3)and N_(1)***,regarding total number of effective tillers,significant differences were found neither between nutrient management practices nor between cropping *** rice equivalent yield(REY)based on price(REY_(P))was found to be significantly lower in CP(2615 kg ha^(-1);-6.4%)and RB intercropping systems(2571 kg ha^(-1);-8.0%)than in R monocropping system(2794 kg ha^(-1)).However,the REY based on energy(REY_(E))of CP(2999 kg ha^(-1);+7.3%)and RB(2960 kg ha^(-1);+5.9%)were found to be significantly higher than that of R(2794 kg ha^(-1))irrespective of nutrient management *** different nutrient management practices,the N3 treatment recorded the highest REY_(P)and REY_(E)which was at par with

关键词： rice-based intercropping system fodder cultivation nutrient management rice and cowpea fodder intercropping system rice and ricebean fodder intercropping system

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A brief survey of computerized expert systems for crop protection being used in India

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Progress in Natural Science:Materials International 2008年第4期18卷 469-473页

作者： Pinaki Chakraborty dilip kumar Chakrabarti School of Computer and Systems Sciences Jawaharlal Nehru University Department of Horticulture Narendra Dev University of Agriculture and Technology

In the recent years, a plethora of computerized expert systems has been developed for various sectors of agriculture in India. The availability of low-cost computers, agricultural knowledge and information technology professionals are the principal reasons for the development of so many agricultural expert systems. Among all agricultural expert systems, the expert systems for crop protection need special mention. These expert systems are meant to be used by farmers and other persons without much experience of using computers. Hence, special care must be taken while developing them. The current paper develops a taxonomy for the expert systems for crop pro- tection and briefly discusses four such expert systems for crop protection being used in India.

关键词： Computerized expert system Agriculture Agricultural expert system Crop protection

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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

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Fine-Grained Multivariate Time Series Anomaly Detection in IoT

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Computers, Materials & Continua 2023年第6期75卷 5027-5047页

作者： Shiming He Meng Guo Bo Yang Osama Alfarraj Amr Tolba Pradip kumar sharma Xi’ai Yan School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computing Science University of AberdeenAberdeenAB243FXUK Hunan Provincial Key Laboratory of Network Investigational Technology Hunan Police AcademyChangsha410138China

Sensors produce a large amount of multivariate time series data to record the states of Internet of Things(IoT)*** time series timestamp anomaly detection(TSAD)can identify timestamps of attacks and ***,it is necessary to determine which sensor or indicator is abnormal to facilitate a more detailed diagnosis,a process referred to as fine-grained anomaly detection(FGAD).Although further FGAD can be extended based on TSAD methods,existing works do not provide a quantitative evaluation,and the performance is ***,to tackle the FGAD problem,this paper first verifies that the TSAD methods achieve low performance when applied to the FGAD task directly because of the excessive fusion of features and the ignoring of the relationship’s dynamic changes between ***,this paper proposes a mul-tivariate time series fine-grained anomaly detection(MFGAD)*** avoid excessive fusion of features,MFGAD constructs two sub-models to independently identify the abnormal timestamp and abnormal indicator instead of a single model and then combines the two kinds of abnormal results to detect the fine-grained *** on this framework,an algorithm based on Graph Attention Neural Network(GAT)and Attention Convolutional Long-Short Term Memory(A-ConvLSTM)is proposed,in which GAT learns temporal features of multiple indicators to detect abnormal timestamps and A-ConvLSTM captures the dynamic relationship between indicators to identify abnormal *** simulations on a real-world dataset demonstrate that the proposed algorithm can achieve a higher F1 score and hit rate than the extension of existing TSAD methods with the benefit of two independent sub-models for timestamp and indicator detection.

关键词： Multivariate time series graph attention neural network fine-grained anomaly detection

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Software Reliability Assessment Using Hybrid Neuro-Fuzzy Model

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Computer Systems Science & Engineering 2022年第6期41卷 891-902页

作者： Parul Gandhi Mohammad Zubair Khan Ravi kumar sharma Omar H.Alhazmi Surbhi Bhatia Chinmay Chakraborty Department of Computer Applications Manav Rachna International Institute of Research and StudiesFaridabad121006India Department of Computer Science College of Computer Science and EngineeringTaibah UniversityMadinahSaudi Arabia Department of Computer Applications Chandigarh Group of CollegesLandran140307India College of Computer Sciences and Information Technology King Faisal UniversitySaudi Arabia Department of Electronics&Communication Engineering Birla Institute of TechnologyMesra JharkhandIndia

Software reliability is the primary concern of software developmentorganizations, and the exponentially increasing demand for reliable softwarerequires modeling techniques to be developed in the present era. Small unnoticeable drifts in the software can culminate into a disaster. Early removal of theseerrors helps the organization improve and enhance the software’s reliability andsave money, time, and effort. Many soft computing techniques are available toget solutions for critical problems but selecting the appropriate technique is abig challenge. This paper proposed an efficient algorithm that can be used forthe prediction of software reliability. The proposed algorithm is implementedusing a hybrid approach named Neuro-Fuzzy Inference System and has also beenapplied to test data. In this work, a comparison among different techniques of softcomputing has been performed. After testing and training the real time data withthe reliability prediction in terms of mean relative error and mean absolute relativeerror as 0.0060 and 0.0121, respectively, the claim has been verified. The resultsclaim that the proposed algorithm predicts attractive outcomes in terms of meanabsolute relative error plus mean relative error compared to the other existingmodels that justify the reliability prediction of the proposed model. Thus, thisnovel technique intends to make this model as simple as possible to improvethe software reliability.

关键词： Software quality reliability neural networks fuzzy logic neuro-fuzzy inference system

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All-optical prefix tree adder with the help of terahertz optical asymmetric demultiplexer

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Chinese Optics Letters 2011年第6期9卷 82-86页

作者： dilip kumar Gayen Tanay Chattopadhyay Rajat kumar Pal Jitendra Nath Roy Department of Computer Science College of Engineering and Management Kolaghat KTPP Township Mechanical Operation (Stage-II) Kolaghat Thermal Power Station WBPDCL Mecheda Purba Medinipur KTPP Sub Post Office Department of Computer Science and Engineering Calcutta University Department of Physics NIT Agartala

We propose and describe an all-optical prefix tree adder with the help of a terahertz optical asymmetric demultiplexer （TOAD） using a set of optical switches. The prefix tree adder is useful in compound adder implementation. It is preferred over the ripple carry adder and the carry lookahead adder. We also describe the principle and possibilities of the all-optical prefix tree adder. The theoretical model is presented and verified through numerical simulation. The new method promises higher processing speed and accuracy. The model can be extended for studying more complex all-optical circuits of enhanced functionality in which the prefix tree adder is the basic building block.

关键词： tree All-optical prefix tree adder with the help of terahertz optical asymmetric demultiplexer XOR SOA

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Effect of rare earth(Nd^(3+))metal doping on structural,morphological,optical and magnetic traits of Zn-Mg nano-ferrites

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Journal of Rare Earths 2023年第11期41卷 1763-1770,I0004页

作者： Rohit Jasrotia Nisha kumari Ritesh Verma Suman Sachin kumar Godara Jahangeer Ahmed Saad M.Alshehri Bidhan Pandit Sanjay kumar Himanshi Shubham sharma Kirti Pradip K.Maji School of Physics&Materials Science Shoolini University of Biotechnology and Management SciencesSolanHimachal Pradesh173229India Himalayan Centre of Excellence in Nanotechnology Shoolini UniversityBajholSolanH.P173229India Department of Physics Baddi University of Emerging Science and TechnologyMakhnumajraBaddiHimachal Pradesh173205India Department of Physics Amity University HaryanaGururgram122413India Department of Mathematics School of Basic and Applied SciencesMaharaja Agrasen UniversityBaddiH.P174103India Department of Apparel and Textile Technology Guru Nanak Dev UniversityAmritsar143005India Department of Chemistry College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia Department of Materials Science and Engineering and Chemical Engineering Universidad Carlos III de MadridAvenida de la Universidad 3028911LeganésMadridSpain School of Advanced Chemical Sciences Shoolini University of Biotechnology and Management SciencesSolanHimachal Pradesh173229India Dept.of Polymer&Process Engineering Indian Institute of Technology RoorkeeSaharanpurUttar Pradesh247001India

Herein,we report the synthesis of Zn_(0.7)Mg_(0.3)Nd_(x)Fe_(2-x)O_(4)(where,x=0,0,0,01,0,02)ferrite nanoparticles by employing the sol-gel auto-combustion *** X-ray diffraction(XRD)pattern suggests the formation of a pure cubic structure,without any impurity phase,with an Fd3m space group at room *** increasing doping amount,the crystallite size is reported as 35-41 nm,while the lattice parameters rise from 0.8381 to 0.8395 *** emission scanning electron microscopy(FESEM)images show the formation of spherical grains with agglomerated morphology in all the samples,with grain sizes ranging from 49 to 103 *** dispersive X-ray spectroscopy(EDX)and elemental mapping investigation confirm the chemical purity of all the *** transform infrared(FTIR)analysis shows the presence of two prominent peaks around 440 and 560 cm^(-1)that correspond to the octahedral and tetrahedral *** addition,the existence of five Raman active vibratio nal modes in all produced specimens again confirms the structural purity of all the *** M-H curve shows that saturation magnetization(M_(s))first increases from 14.98 to 28.22 emu/g and then decreases to 18.98emu/g with increasing doping *** is due to the A-B type super-exchange interaction for the synthesized *** variation in coercivity(H_(c))and magnetic anisotropy(K_(1))suggest the thermal stability of all the samples and can be utilized in transformers and solenoids.

关键词： Magnetic nanoparticles Saturation magnetization Sol-gel auto-combustion synthesis Super-exchange interaction Cubic crystal structure Rare earths

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Current and emerging therapeutic approaches for colorectal cancer:A comprehensive review

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World Journal of Gastrointestinal Surgery 2023年第4期15卷 495-519页

作者： Anil kumar Vipasha Gautam Arushi Sandhu Kajal Rawat Antika sharma Lekha Saha Department of Pharmacology Post Graduate Institute of Medical Education and ResearchChandigarh 160012India

Colorectal cancer(CRC)affects 1 in 23 males and 1 in 25 females,making it the third most common *** roughly 608000 deaths worldwide,CRC accounts for 8%of all cancer-related deaths,making it the second most common cause of death due to *** and conventional CRC treatments include surgical expurgation for resectable CRC and radiotherapy,chemotherapy,immunotherapy,and their combinational regimen for non-resectable *** these tactics,nearly half of patients develop incurable recurring *** cells resist the effects of chemotherapeutic drugs in a variety of ways,including drug inactivation,drug influx and efflux modifications,and ATPbinding cassette transporter *** constraints necessitate the development of new target-specific therapeutic *** therapeutic approaches,such as targeted immune boosting therapies,non-coding RNA-based therapies,probiotics,natural products,oncolytic viral therapies,and biomarkerdriven therapies,have shown promising results in preclinical and clinical *** tethered the entire evolutionary trends in the development of CRC treatments in this review and discussed the potential of new therapies and how they might be used in conjunction with conventional treatments as well as their advantages and drawbacks as future medicines.

关键词： Colorectal cancer Chemotherapy Immunotherapy RNA interference Probiotics Oncolytic viral therapy

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Terahertz optical asymmetric demultiplexer based tree-net architecture for all-optical conversion scheme from binary to its other 2^n radix based form

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Chinese Optics Letters 2008年第7期6卷 536-540页

作者： Jitendra Nath Roy Goutam kumar Maity dilip kumar Gayen Tanay Chattopadhyay Department of Physics College of Engineering and ManagementKolaghat Calcutta Institute of Technology UluberiaHowrahW.B.India Department of Computer Science College of Engineering and ManagementKolaghat KTPP Township.Midnapur (East).721171W.B.India Mechanical Operation (Stage-Ⅱ) Kolaghat Thermal Power StationWBPDCLIndia

To exploit the parallelism of optics in data processing, a suitable number system and an efficient encoding/decoding scheme for handling the data are very essential. In the field of optical computing and parallel information processing, several number systems like binary, quaternary, octal, hexadecimal, etc. have been used for different arithmetic and algebraic operations. Here, we have proposed an all-optical conversion scheme from its binary to its other 2^n radix based form with the help of terahertz optical asymmetric demultiplexer （TOAD） based tree-net architecture.

关键词： tree Terahertz optical asymmetric demultiplexer based tree-net architecture for all-optical conversion scheme from binary to its other 2~n radix based form net

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An Intelligent Secure Adversarial Examples Detection Scheme in Heterogeneous Complex Environments

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Computers, Materials & Continua 2023年第9期76卷 3859-3876页

作者： Weizheng Wang Xiangqi Wang Xianmin Pan Xingxing Gong Jian Liang Pradip kumar sharma Osama Alfarraj Wael Said College of Information Science and Engineering HunanWomen’s UniversityChangsha410138China School of Mathematics and Statistics Hunan First Normal UniversityChangsha410138China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China Department of Computing Science University of AberdeenAberdeenAB243FXUK Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazig44511Egypt

Image-denoising techniques are widely used to defend against Adversarial Examples(AEs).However,denoising alone cannot completely eliminate adversarial *** remaining perturbations tend to amplify as they propagate through deeper layers of the network,leading to ***,image denoising compromises the classification accuracy of original *** address these challenges in AE defense through image denoising,this paper proposes a novel AE detection *** proposed technique combines multiple traditional image-denoising algorithms and Convolutional Neural Network(CNN)network *** used detector model integrates the classification results of different models as the input to the detector and calculates the final output of the detector based on a machine-learning voting *** analyzing the discrepancy between predictions made by the model on original examples and denoised examples,AEs are detected *** technique reduces computational overhead without modifying the model structure or parameters,effectively avoiding the error amplification caused by *** proposed approach demonstrates excellent detection performance against mainstream AE *** results show outstanding detection performance in well-known AE attacks,including Fast Gradient Sign Method(FGSM),Basic Iteration Method(BIM),DeepFool,and Carlini&Wagner(C&W),achieving a 94%success rate in FGSM detection,while only reducing the accuracy of clean examples by 4%.

关键词： Deep neural networks adversarial example image denoising adversarial example detection machine learning adversarial attack

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