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Fertilization and Soil Ploughing Practices under Changing Physical Environment Lead to Soil Organic Carbon Dynamics under Conservation Agriculture in Rice-Wheat Cropping System: A Scoping Review

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Agricultural Sciences 2024年第1期15卷 82-113页

作者： Salwinder Singh Dhaliwal Arvind Kumar Shukla Sanjib Kumar Behera Sarwan Kumar Dubey Agniva Mandal Mehakpreet Kaur Randhawa Sharanjit Kaur Brar Gagandeep Kaur Amardeep Singh Toor Sohan Singh Walia Priyadarshani arun Khambalkar Department of Soil Science Punjab Agricultural University Ludhiana India Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya Gwalior India Indian Institute of Soil Science (ISSS) Bhopal India Indian Council of Agricultural Research—Central Soil Salinity Research Institute (ICAR-CSSRI) Karnal India Department of Agricultural Chemistry and Soil Science Bidhan Chandra Krishi Viswavidyalaya Mohanpur India Department of Crop and Soil Sciences Washington State University Pullman USA School of Organic Farming Punjab Agricultural University Ludhiana India Department of Soil Science Rajmata Vijayaraje Sciendia Krishi Viswa Vidalaya Gwalior India

Ploughing and fertilization practices in rice-wheat system have deteriorated the soil carbon (C) pools. Conservation agriculture (CA) based management approaches have proven to enhance C sequestration and reverse the loss of soil-organic-carbon (SOC), which further enhances soil fertility. Different fractions of SOC pools react to the alterations in management practices and indicate changes in SOC dynamics as compared to total C in the soil. Higher SOC levels in soil have been observed in case of reduced/no-till (NT) practices than conventional tillage (CT). However, between CT and zero tillage/NT, total SOC stocks diminished with an increase in soil depth, which demonstrated that the benefits of SOC are more pronounced in the topsoil under NT. Soil aggregation provides physical protection to C associated with different-sized particles, thus, the improvement in soil aggregation through CA is an effective way to mitigate soil C loss. Along with less soil disturbance, residual management, suitable crop rotation, rational application of manures and fertilizers, and integrated nutrient management have been found to be effective in not only improving soil C stock but also enhancing the soil health and productivity. Thus, CA can be considered as a potential method in the build-up of SOC of soil in rice-wheat system.

关键词： Tillage Conservation Agriculture Soil Organic Carbon Carbon Fractions Rice-Wheat System Organic Amendments

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Extreme ultraviolet and x-ray transition wavelengths in Rb XXIV

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Chinese Physics B 2015年第10期24卷 115-126页

作者： Indu khatri arun Goyal Sunny Aggarwal A.K.Singh Man Mohan Department of Physics and Astrophysics University of Delhi Department of Physics Shyamlal CollegeUniversity of Delhi Department of Physics D.D.U.CollegeUniversity of Delhi

Energy levels, radiative rates, oscillator strengths and line strengths are reported for transitions among the lowest 97 levels of the（1s22s22p6） 3s23p2, 3s23p3 d, 3s3p3, 3p4, 3s3p23 d, and 3s23d2 configurations of Rb XXIV. A multiconfiguration Dirac-Fock（MCDF） method is adopted for the calculations. Radiative rates, oscillator strengths, and line strengths are provided for all electric dipole（E1）, magnetic dipole（M1）, electric quadrupole（E2）, and magnetic quadrupole（M2）transitions from the ground level to all 97 levels, although calculations are performed for a much larger number of *** achieve the accuracy of the data, comparisons are provided with similar data obtained from the Flexible Atomic Code（FAC） and also with the available theoretical and experimental results. Our energy levels are found to be accurate to better than 1.2%. Wavelengths calculated are found to lie in EUV（extreme ultraviolet） and x-ray regions. Additionally, lifetimes for all 97 levels are obtained for the first time.

关键词： atomic data energy levels transition probability

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A novel slot scheduling technique for duty-cycle based data transmission for wireless sensor network

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Digital Communications and Networks 2022年第3期8卷 351-358页

作者： Yogesh Tripathi arun Prakash Rajeev Tripathi Department of Electronics and Communication Engineering Motilal Nehru National Institute of Technology AllahabadPrayagraj211004India

The duty cycling process involves turning a radio into an active and dormant state for conserving energy. It is a promising approach for designing routing protocols for a resource-constrained Wireless Sensor Networks (WSNs). In the duty cycle-based WSNs, the network lifetime is improved and the network transmission is increased as compared to conventional routing protocols. In this study, the active period of the duty cycle is divided into slots that can minimize the idle listening problem. The slot scheduling technique helps determine the most efficient node that uses the active period. The proposed routing protocol uses the opportunistic concept to minimize the sender waiting problem. Therefore, the forwarder set will be selected according to the node's residual active time and energy. Further, the optimum routing path is selected to achieve the minimum forwarding delay from the source to the destination. Simulation analysis reveals that the proposed routing scheme outperforms existing schemes in terms of the average transmission delay, energy consumption, and network throughput.

关键词： Duty cycle Energy model Wireless sensor network Slot scheduling technique

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基于SEER数据库老年晚期肺腺癌术后患者预后预测模型的构建

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肿瘤研究与临床 2024年第1期36卷 32-40页

作者：陈琳俪张阿润卜文璐刘传波北京中医药大学第二临床医学院肿瘤科北京100078 北京中医药大学东方医院肿瘤科北京100078

目的基于监测、流行病学和最终结果(SEER)数据库大样本数据,构建并分析可视化预测老年晚期肺腺癌术后患者预后的列线图模型。方法使用SEER*Stat8.***.0.1软件筛选2000年至2019年SEER数据库中来自17个注册点的数据,纳入4453例经美国癌症联... 详细信息

目的基于监测、流行病学和最终结果(SEER)数据库大样本数据,构建并分析可视化预测老年晚期肺腺癌术后患者预后的列线图模型。方法使用SEER*Stat8.***.0.1软件筛选2000年至2019年SEER数据库中来自17个注册点的数据,纳入4453例经美国癌症联合会(AJCC)第7版分期标准诊断为Ⅲ期和Ⅳ期接受手术治疗、年龄≥65岁的肺腺癌患者,按7∶3比例随机分为训练集(3117例)和验证集(1336例),比较两组的流行病学资料和临床病理特征。采用LASSO回归进行数据降维,从患者预后因素中选择最佳预测因子。采用Cox比例风险模型对筛选出来的变量进行单因素和多因素分析,采用R软件rms包根据预后独立危险因素构建列线图,预测患者1、3、5年肿瘤特异性生存(CSS)率。采用Bootstrap法对验证集进行1000次等量有放回重复采样验证,采用C指数、受试者工作特征(ROC)曲线及校正曲线验证列线图模型的准确性。结果训练集、验证集患者年龄、性别、种族、肿瘤位置、Grade分级、手术方式、淋巴结清扫数目、放疗方式、肿瘤长径、肿瘤转移、婚姻、居住环境、TNM分期、放化疗等比较,差异均无统计学意义(均P>0.05)。将训练集中18个变量纳入LASSO回归分析,对变量进行降维,共筛选出11个最优预测变量,年龄≥85岁(HR=2.34,95%CI:1.803~3.037,P<0.01)、男性(HR=1.326,95%CI:1.228~1.432,P<0.01),Grade分级Ⅲ~Ⅳ级(HR=1.333,95%CI:0.844~2.105,P<0.01)、未清扫淋巴结(HR=2.261,95%CI:2.023~2.527,P<0.01),肿瘤长径≥3.7 cm(HR=1.445,95%CI:1.333~1.566,P<0.01),发生骨转移(HR=1.535,95%CI:1.294~1.819,P<0.01)、脑转移(HR=1.308,95%CI:1.117~1.532,P<0.01)、肺转移(HR=1.229,95%CI:1.056~1.431,P=0.01),居住于农村(HR=1.215,95%CI:1.084~1.363,P<0.01)、TNM分期Ⅳ期(HR=1.155,95%CI:1.044~1.278,P=0.01)、术后放疗(HR=1.148,95%CI:1.054~1.250,P<0.01)的肺腺癌患者预后更差。根据以上变量构建列线图预测模型,预测老年晚期肺腺癌术后患者1、3、5年CSS率。采用Bootstrap法重复抽样1000次验证列线图的建模效果,模型组训练集的C指数为0.654(95%CI:0.641~0.668),验证集为0.666(95%CI:0.646~0.685)。分别绘制老年晚期肺腺癌术后患者训练集和验证集1、3、5年CSS率的ROC曲线,曲线下面积(AUC)分别为0.730(95%CI:0.708~0.754)和0.689(95%CI:0.672~0.710)、0.687(95%CI 0.668~0.711)和0.731(95%CI:0.697,0.765)、0.712(95%CI:0.684~0.740)、0.714(95%CI:0.683~0.745)。校准曲线显示模型预测概率与真实概率具有较高的一致性。结论根据最优预测变量构建的老年晚期肺腺癌术后患者预后预测列线图模型,可能是患者生存预测的一个简便工具。

关键词：肺腺癌老年人列线图预后

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BS-SC Model:A Novel Method for Predicting Child Abuse Using Borderline-SMOTE Enabled Stacking Classifier

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Computer Systems Science & Engineering 2023年第8期46卷 1311-1336页

作者： Saravanan Parthasarathy arun Raj Lakshminarayanan s.abdur rahman crescent institute of science and technology gst roadvandalurchennai600048tamil naduindia

For a long time,legal entities have developed and used crime prediction *** techniques are frequently updated based on crime evaluations and responses from scientific *** is a need to develop type-based crime prediction methodologies that can be used to address issues at the subgroup *** maltreatment is not adequately addressed because children are *** a result,the possibility of developing a model for predicting child abuse was investigated in this *** exploratory analysis methods were used to examine the city of Chicago’s child abuse *** data set was balanced using the Borderline-SMOTE technique,and then a stacking classifier was employed to ensemble multiple algorithms to predict various types of child *** proposed approach successfully predicted crime types with 93%of accuracy,precision,recall,and *** AUC value of the same was ***,when compared to the Extra Trees model(17.55),which is the second best,the proposed model’s execution time was significantly longer(476.63).We discovered that Machine Learning methods effectively evaluate the demographic and spatial-temporal characteristics of the crimes and predict the occurrences of various subtypes of child *** results indicated that the proposed Borderline-SMOTE enabled Stacking Classifier model(BS-SC Model)would be effective in the real-time child abuse prediction and prevention process.

关键词： Child abuse sexual offending decision-making machine learning stacking classifier

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Hierarchical Data Aggregation with Data Offloading Scheme for Fog Enabled IoT Environment

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Computer Systems Science & Engineering 2023年第3期44卷 2033-2047页

作者： P.Nalayini R.arun Prakash Department of Computer Science and Engineering Kings College of EngineeringPunalkulam613303TamilnaduIndia Department of Computer Science and Engineering University College of EngineeringAriyalur621704TamilnaduIndia

Fog computing is a promising technology that has been emerged to handle the growth of smart devices as well as the popularity of latency-sensitive and location-awareness Internet of Things(IoT)*** the emergence of IoT-based services,the industry of internet-based devices has *** number of these devices has raised from millions to billions,and it is expected to increase further in the near ***,additional challenges will be added to the traditional centralized cloud-based architecture as it will not be able to handle that growth and to support all connected devices in real-time without affecting the user *** data aggregation models for Fog enabled IoT environ-ments possess high computational complexity and communication ***-fore,in order to resolve the issues and improve the lifetime of the network,this study develops an effective hierarchical data aggregation with chaotic barnacles mating optimizer(HDAG-CBMO)*** HDAG-CBMO technique derives afitness function from many relational matrices,like residual energy,average distance to neighbors,and centroid degree of target ***,a chaotic theory based population initialization technique is derived for the optimal initial position of ***,a learning based data offloading method has been developed for reducing the response time to IoT user requests.A wide range of simulation analyses demonstrated that the HDAG-CBMO technique has resulted in balanced energy utilization and prolonged lifetime of the Fog assisted IoT networks.

关键词： Internet of things fog computing barnacles mating optimizer data offloading data aggregation

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A review of physicochemical and biological contaminants in drinking water and their impacts on human health

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Water Science and Engineering 2023年第4期16卷 333-344页

作者： Ahsan Shah arun Arjunan Ahmad Baroutaji Julia Zakharova School of Engineering Computing and Mathematical SciencesUniversity of WolverhamptonWolverhamptonWV11LYUnited Kingdom School of Engineering and Applied Science Aston UniversityAston TriangleBirminghamB47ETUnited Kingdom School of Architecture and Built Environment University of WolverhamptonWolverhamptonWV11LYUnited Kingdom

Clean drinking water is one of the United Nations Sustainable Development *** significant progress in the water purification technology,many regions still lack access to clean *** paper provides a review of selected water contaminants and their impacts on human *** World Health Organization(WHO)guidelines and regional standards for key contaminants were used to characterise water quality in the European Union and *** concept of safe drinking water was explained based on the non-observed adverse effect level,threshold concentrations for toxic chemicals,and their total daily *** techniques for monitoring water contaminants and the drinking water standards from five different countries,including the UK,USA,Canada,Pakistan and India,were compared to WHO recommended *** literature on actual water quality in these regions and its potential health impacts was also ***,the role of public water suppliers in identifying and monitoring drinking water contaminants in selected developed countries was presented as a potential guideline for developing *** review emphasised the need for a comprehensive understanding of water quality and its impacts on human health to ensure access to clean drinking water worldwide.

关键词： Drinking water contaminants Physicochemical contaminants Biological contaminants Human health risks Waterborne diseases Water quality Public health concerns Water treatment

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Corrosion,mechanical and microstructural properties of aluminum 7075-carbon nanotube nanocomposites for robots in corrosive environments

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International Journal of Minerals,Metallurgy and Materials 2023年第6期30卷 1140-1151页

作者： arun David Satheesh Kumar Gopal Poovazhagan Lakshmanan Amith Sukumaran Chenbagam Sri Sivasubramaniya Nadar College of Engineering KalavakkamChennai-603110India

The introduction of in-pipe robots for sewage cleaning provides researchers with new options for pipe inspection,such as leakage,crack,gas,and corrosion detection,which are standard applications common in the current industrial *** question that is frequently overlooked in all these cases is the inherent resistance of the robots to *** mechanical,microstructural,and corrosion properties of aluminum 7075 incorporated with various weight percentages(0,0.5wt%,1wt%,and 1.5wt%)of carbon nanotubes(CNTs)are *** is fabricated using a rotational ultrasonication with mechanical stirring(RUMS)-based casting method for improved corrosion resistance without compromising the mechanical properties of the robot.1wt%CNTs-aluminum nanocomposite shows good corrosion and mechanical properties,meeting the requirements imposed by the sewage environment of the robot.

关键词： aluminum 7075 carbon nanotubes rotational ultrasonication with mechanical stirring mechanical characterization microstructure robot

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Hierarchical Stream Clustering Based NEWS Summarization System

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Computers, Materials & Continua 2022年第1期70卷 1263-1280页

作者： M.arun Manicka Raja S.Swamynathan Department of Computer Science and Engineering RMKCollege of Engineering and TechnologyChennai602106India Department of Information Science and Technology College of Engineering GuindyAnna UniversityChennai600025India

News feed is one of the potential information providing sources which give updates on various topics of different *** updates on various topics need to be collected since the domain specific interested users are in need of important updates in their domains with organized data from various *** this paper,the news summarization system is proposed for the news data streams from RSS feeds and Google *** news stream analysis requires live content,the news data are continuously collected for our *** contributions of thiswork involve domain corpus based news collection,news content extraction,hierarchical clustering of the news and summarization of *** of the existing news summarization systems lack in providing dynamic content with domain wise *** is alleviated in our proposed systemby tagging the news feed with domain corpuses and organizing the news streams with the hierarchical structure with topic wise ***,the news streams are summarized for the users with a novel summarization *** proposed summarization system generates topic wise summaries effectively for the user and no system in the literature has handled the news summarization by collecting the data dynamically and organizing the content *** proposed system is compared with existing systems and achieves better results in generating news *** Online news content editors are highly benefitted by this system for instantly getting the news summaries of their domain interest.

关键词： News feed content similarity parallel crawler collaborative filtering hierarchical clustering news summarization

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PAPR Reduction of NOMA Using Vandermonde Matrix-Particle Transmission Sequence

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Computer Systems Science & Engineering 2022年第10期43卷 193-201页

作者： arun Kumar Sandeep Gupta Himanshu Sharma Mehedi Masud Department of Electronics and Communication Engineering JECRC UniversityJaipur303905India Department of Electrical Engineering JECRC UniversityJaipur303905India Department of Computer Science and Engineering JECRC UniversityJaipur303905India Department of Computer Science College of Computers and Information TechnologyTaif University11099Saudi Arabia

Non-Orthogonal Multiple Access(NOMA)is an ideal choice for 5G waveforms due to their characteristics such as high data rate,massive device connectivity,high spectral access,and effective frequency selective ***,it permits gigantic *** spectrum overlaps with NOMA,which consents several operators to segment the spectrum at the same *** features make NOMA more suitable for use beyond *** to Average Power(PAPR)is a major problem in Multi-Carrier Techniques(MCT)like NOMA and it also degrades the performance of the *** Partial Transmission Sequence(PTS)is a superior algorithm for moderating the ***,it also increases the complexity of the *** PAPR is reduced in NOMA by multiplying the NOMA signal with optimised phase vectors(P).The phase vectors are generated by using the Vandermonde Matrix(VM).In this work,we proposed a VM-PTS algorithm for the NOMA system,and the number of computations to search the optimal phase vectors for NOMA high PAPR signal is less as compared with existing *** outcomes demonstrate that the performance of the recommended PTS in terms of PAPR,Bit Error Rate(BER),and complexity is better than the conventional PTS(C-PTS).

关键词： VM-PTS NOMA PAPR 5G

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