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Palaeodepositional environment,implications of Glossopteris flora,and organic matter characteristics from the Lower Permian,Karo Open Cast Mine,East Bokaro Coalfield,Damodar Basin,India

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Journal of Palaeogeography 2024年第3期13卷 528-546页

作者： Sankar Suresh kumar Pillai Rose Ann Sebastian Runcie Paul Mathews Srikanta Murthy Anju Saxena Mrutyunjaya Sahoo Suraj kumar Sahu gulshan kumar.dhingr. Birbal Sahni Institute of Palaeosciences 53 University RoadLucknow-226007UPIndia Academy of Scientific and Innovative Research(AcSIR) Ghaziabad-201002India Department of Geology School of Earth Science SystemsCentral University of KeralaKasaragod-671316KeralaIndia Department of Geology Ravenshaw UniversityCuttack-753003OdishaIndia Department of Botany Sri Dev Suman Uttarakhand UniversityUttarakhand-249145India

The present study deals with the Early Permian floral diversity,palaeoenvironment,palaeoclimate and depositional setting using a multiproxy approach that includes morphotaxonomy,palynology,and organic geochemistry of Karo OCM(Open Cast Mine),East Bokaro Coalfield,Damodar Gondwana Basin,*** Permian sediments of Peninsular India are widely regarded as fluvial,along with some marine *** macroplant fossil assemblage exhibits the presence of Glossopteridales,comprising Glossopteris,Gangamopteris,and Vertebraria,as well as Coniferales,which includes *** palynological assemblage encompasses the dominance of the striate bisaccate pollen Faunipollenites *** the subdominance of the non-striate bisaccate pollen Scheuringipollenites *** glossopterid *** megafloral and palynofloral assemblage confirms the biostratigraphical age to be Late Barakar palynoflora of Kungurian *** studied morphological characteristics,including small to large Glossopteris leaves exhibiting a lanceolate shape,acute apices,and acute cuneate or tapering bases,as well as entire margins with narrower lamina and narrow meshes,suggest the existence of a dense forest with the prevalence of a warm and humid climate during their *** organic geochemical characterization based on functional group and biomarker analyses reveals the diagenetic effects on organic *** symmetric(~2865-2855 cm^(-1))and asymmetric stretching(~2930-2910 cm^(-1))peaks are identifiable in coal samples,whereas they are absent in carbonaceous *** A-factor vs.C-factor plot suggests that the kerogen type is type Ⅲ,which can generate mainly gaseous *** vitrinite reflectance studies(R_(r) av.1.1%)show increased maturity of the samples,which is supported by the n-alkane distribution pattern and the absence of hopane *** Indian floral assemblages in contemporary of southern Gondwana continents reveal a stronger inclination/affinity with th

关键词： Glossopteris Palynomorph FTIR GCMS Gondwana Permian Palaeoclimate

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Mathematical Modeling of Moored Ship Motion in Arbitrary Harbor utilizing the Porous Breakwater

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China Ocean Engineering 2023年第5期37卷 738-752页

作者： Prachi Priya Prashant kumar gulshan Rajni Government Model Sanskriti Senior Secondary School Ganaur Sonipat 131101India Department of Applied Sciences(Mathematics) National Institute of TechnologyDelhi 110036India JindalGobal Business School O.P.Jindal Global UniversitySonepat 131001India

The motion of the moored ship in the harbor is a classical hydrodynamics problem that still faces many challenges in naval operations,such as cargo transfer and ship pairings between a big transport ship and some small ships.A mathematical model is presented based on the Laplace equation utilizing the porous breakwater to investigate the moored ship motion in a partially absorbing/reflecting *** motion of the moored ship is described with the hydrodynamic forces along the rotational motion(roll,pitch,and yaw)and translational motion(surge,sway,and heave).The efficiency of the numerical method is verified by comparing it with the analytical study of Yu and Chwang(1994)for the porous breakwater,and the moored ship motion is compared with the theoretical and experimental data obtained by Yoo(1998)and Takagi et al.(1993).Further,the current numerical scheme is implemented on the realistic Visakhapatnam Fishing port,India,in order to analyze the hydrodynamic forces on moored ship motion under resonance *** model incorporates some essential strategies such as adding a porous breakwater and utilizing the wave absorber to reduce the port’s *** has been observed that these tactics have a significant impact on the resonance inside the port for safe maritime ***,the current numerical model provides an efficient tool to reduce the resonance within the arbitrarily shaped ports for secure anchoring.

关键词： boundary element method Laplace equation porous breakwater partially reflecting/absorbing harbor wall moored ship motion

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Machine Learning Techniques for Intrusion Detection Systems in SDN-Recent Advances,Challenges and Future Directions

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Computer Modeling in Engineering & Sciences 2023年第1期134卷 89-119页

作者： gulshan kumar Hamed Alqahtani Shaheed Bhagat Singh State University Firozpur152024India King Khalid University Abha61421Saudi Arabia

Software-Defined Networking(SDN)enables flexibility in developing security tools that can effectively and efficiently analyze and detect malicious network traffic for detecting *** Machine Learning(ML)techniques have attracted lots of attention from researchers and industry for developing intrusion detection systems(IDSs)considering logically centralized control and global view of the network provided by *** IDSs have developed using advances in machine learning and deep *** study presents a comprehensive review of recent work ofML-based IDS in context to *** presents a comprehensive study of the existing review papers in the *** is followed by introducing intrusion detection,ML techniques and their ***,we present a systematic study of recent works,discuss ongoing research challenges for effective implementation of ML-based intrusion detection in SDN,and promising future works in this field.

关键词： Controller intrusion detection intrusion detection system OpenFlow security software defined networking traffic analysis

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Deep Learning-Based Cancer Detection-Recent Developments,Trend and Challenges

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1271-1307页

作者： gulshan kumar Hamed Alqahtani Shaheed Bhagat Singh State University FerozepurIndia King Khalid University AbhaSaudi Arabia

Cancer is one of the most critical diseases that has caused several deaths in today’s *** most cases,doctors and practitioners are only able to diagnose cancer in its later *** the later stages,planning cancer treatment and increasing the patient’s survival rate becomes a very challenging ***,it becomes the need of the hour to detect cancer in the early stages for appropriate treatment and surgery *** and interpretation of medical images such as MRI and CT scans help doctors and practitioners diagnose many diseases,including cancer ***,manual interpretation of medical images is costly,time-consuming and ***,deep learning,a subset of artificial intelligence,is gaining increasing attention from practitioners in automatically analysing and interpreting medical images without their *** learning methods have reported extraordinary results in different fields due to their ability to automatically extract intrinsic features from images without any dependence on manually extracted *** study provides a comprehensive review of deep learning methods in cancer detection and diagnosis,mainly focusing on breast cancer,brain cancer,skin cancer,and prostate *** study describes various deep learningmodels and steps for applying deep learningmodels in detecting *** developments in cancer detection based on deep learning methods have been critically analysed and summarised to identify critical challenges in applying them for detecting cancer accurately in the early *** on the identified challenges,we provide a few promising future research directions for fellow researchers in the *** outcome of this study provides many clues for developing practical and accurate cancer detection systems for its early diagnosis and treatment planning.

关键词： Autoencoders(AEs) cancer detection convolutional neural networks(CNNs) deep learning generative adversarial models(GANs) machine learning

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Some results on quantile-based Shannon doubly truncated entropy

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Statistical Theory and Related Fields 2019年第1期3卷 59-70页

作者： Vikas kumar gulshan Taneja Samsher Chhoker Department of Applied Sciences UIETM.D.UniversityRohtakIndia Department of Mathematics M.D.UniversityRohtakIndia

Sunoj et al.[(2009).Characterization of life distributions using conditional expectations of doubly(Intervel)truncated random *** in Statistics–Theory and Methods,38(9),1441–1452]introduced the concept of Shannon doubly truncated entropy in the *** functions are equivalent alternatives to distribution functions in modelling and analysis of statistical *** this paper,we introduce quantile version of Shannon interval entropyfor doubly truncated random variable and investigate it for various types of univariate distribution *** have characterised certain specific lifetime distributions using the *** we discuss one fascinating practical example based on the quantile data analysis.

关键词： Quantile function interval entropy geometric vitality function characterisation

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Physicochemical evaluation and in vitro release studies on itraconazolium sulfate salt

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Asian Journal of Pharmaceutical Sciences 2014年第1期9卷 8-16页

作者： Neeraj kumar Shishu Goindi gulshan Bansal University Institute of Pharmaceutical Sciences UGC Centre of Advanced StudyPanjab UniversityChandigarh 160014India Department of Pharmaceutical Sciences and Drug Research Punjabi UniversityPatiala 147002India

To counter the poor aqueous solubility of itraconazole(ITC),its sulfate salt(ITCSUL)was synthesized and characterized by 1 H NMR,MS,FTIR,DSC,XRPD,DLS and *** properties of ITCSUL were confirmed against different fungal pathogens by broth microdilution *** solubility of the salt in various pharmaceutical solvents was *** 5.5 fold increase in percentage drug release from ITCSUL than that of ITC in 3 h was ***,the physical mixtures of ITCSUL with two cyclodextrins;b-cyclodextrin(b-CD)and HP-b-cyclodextrin(HP-b-CD)were prepared in 3 M *** in vitro release studies of CD mixtures of ITC and ITCSUL exhibited markedly enhanced dissolution in comparison to ITC and ITCSUL *** promising in vitro performance of ITCSUL and ITCSUL CD mixtures along with advantage of expedient preparation suggest their potential applications in designing a better oral drug delivery system.

关键词： Itraconazole Solubility Dissolution Cyclodextrins BCS Class II Antifungal

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The Use of Multi-Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection

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International Journal of Intelligence Science 2012年第4期2卷 115-127页

作者： gulshan kumar Krishan kumar Department of Computer Application Shahed Bhagat Singh State Technical Campus Punjab India Department of Computer Science & Engineering Punjab Institute of Technology Punjab India

Due to our increased dependence on Internet and growing number of intrusion incidents, building effective intrusion detection systems are essential for protecting Internet resources and yet it is a great challenge. In literature, many researchers utilized Artificial Neural Networks (ANN) in supervised learning based intrusion detection successfully. Here, ANN maps the network traffic into predefined classes i.e. normal or specific attack type based upon training from label dataset. However, for ANN-based IDS, detection rate (DR) and false positive rate (FPR) are still needed to be improved. In this study, we propose an ensemble approach, called MANNE, for ANN-based IDS that evolves ANNs by Multi Objective Genetic algorithm to solve the problem. It helps IDS to achieve high DR, less FPR and in turn high intrusion detection capability. The procedure of MANNE is as follows: firstly, a Pareto front consisting of a set of non-dominated ANN solutions is created using MOGA, which formulates the base classifiers. Subsequently, based upon this pool of non-dominated ANN solutions as base classifiers, another Pareto front consisting of a set of non-dominated ensembles is created which exhibits classification tradeoffs. Finally, prediction aggregation is done to get final ensemble prediction from predictions of base classifiers. Experimental results on the KDD CUP 1999 dataset show that our proposed ensemble approach, MANNE, outperforms ANN trained by Back Propagation and its ensembles using bagging & boosting methods in terms of defined performance metrics. We also compared our approach with other well-known methods such as decision tree and its ensembles using bagging & boosting methods.

关键词： Ensemble Classifiers Intrusion Detection System Intrusion Detection Multi-Objective Genetic Algorithm

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Absolute copy number differences of Y chromosomal genes between crossbred (Bos taurus×Bos indicus) and Indicine bulls

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Journal of Animal Science and Biotechnology 2013年第4期4卷 257-263页

作者： Ayan Mukherjee gulshan Dass Jagan Mohanarao G Moloya Gohain Biswajit Brahma Tirtha kumar Datta Sachinandan De Animal Genomics Lab Animal Biotechnology Centre National Dairy Research Institute Department of Veterinary Biochemistry College of Veterinary Sciences & Animal Husbandry Central Agricultural University

Background： The Y chromosome in mammal is paternally inherited and harbors genes related to male fertility and spermatogenesis. The unique intra-chromosomal recombination pattern of Y chromosome and morphological difference of this chromosome between Bos taurus and Bos indicus make it an ideal model for studying structural variation, especially in crossbred （Bos taurus x Bos indicus） bulls. Copy Number Variation （CNV） is a type of genomic structural variation that gives information complementary to SNP data. The purpose of this study was to find out copy number differences of four Y chromosomal spermatogenesis-related candidate genes in genomic DNA of crossbred and purebred Indicine bulls. Result： Four Y chromosomal candidate genes of spermatogenesis namely, sex determining gene on Ychromosome （SRY）, DEAD box po/ypeptide 3-Y chromosome （DDX3 Y）, Ubiquidn specific peptidase 9, Y-linked （ usPgY）, testis-specific protein on Y chromosome （TSPY） were evaluated. Absolute copy numbers of Y chromosomal genes were determined by standard curve-based quantitative real time PCR. Copy numbers of SRYand TSPYgenes per unit amount of genomic DNA are higher in crossbred than Indicine bulls. However, no difference was observed in DDX3Yand usPgYgene copy numbers between two groups. Conclusion： The present study demonstrates that the structural organization of Y chromosomes differs between crossbred and Indicine bulls which are reproductively healthy as observed from analysis of semen attributes. The absolute copy numbers of SRY and TSPY genes in unit mass of genomic DNA of crossbred bulls are significantly higher than Indicine bulls. No alteration in absolute copies ofDDX3Yand usPgYgene was found between the genome of crossbred and Indicine bulls. This study suggests that the DDX3Yand USPgYare likely to be single copy genes in the genome of crossbred and Indicine bulls and variation in Y chromosome length between crossbred and Indicine bulls may be due to the copy number variation of

关键词： Absolute copy SRY DDX3Y usPgY TSPY Crossbred

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Multi-detector computed tomography imaging of large airway pathology:A pictorial review

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World Journal of Radiology 2015年第12期7卷 459-474页

作者： Tejeshwar Singh Jugpal Anju Garg gulshan Rai Sethi Mradul kumar Daga Jyoti kumar Department of Radiodiagnosis Maulana Azad Medical College and associated Lok Nayak Hospital Department of Pediatrics Maulana Azad Medical College and associated Lok Nayak Hospital Department of Medicine Maulana Azad Medical College and associated Lok Nayak Hospital

The tracheobronchial tree is a musculo-cartilagenous framework which acts as a conduit to aerate the lungs and consequently the entire body. A large spectrum of pathological conditions can involve the trachea and bronchial airways. These may be congenital anomalies, infections, post-intubation airway injuries, foreign body aspiration or neoplasms involving the airway. Appropriate management of airway disease requires an early and accurate diagnosis. In this pictorial essay review, we will comprehensively describe the various airway pathologies and their imaging findings by multi-detector computed tomography.

关键词： Multi detector computed tomography Trachea Bronchial tree Airway abnormality virtual bronchoscopy

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Using Time Series of Satellite Images to Detect Vegetation Cover Change in Dhaka City

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Journal of Geographic Information System 2014年第6期6卷 653-663页

作者： Sami Al Jaber Amit kumar Ghosh Mallik Sezan Mahmud Department of Geography and Environment Faculty of Earth and Environmental Sciences University of Dhaka Dhaka Bangladesh

The spatial land cover pattern of Dhaka city is restlessly altering as it has highest growing rates among megacities. Due to high urbanization rates, land use is changing from natural to man-made along with resource extractions that accelerate the land cover changes. This study has evidently given the glimpse of the raising concern by assessing the loss of vegetation coverage of Dhaka Metropolitan Area using multi-temporal Landsat imageries. 20 years satellite data have been used to detect the vegetation cover changes in Dhaka city with an interval of 10 years. Study reveals that 66.87 square kilometer vegetation coverage of Dhaka Metropolitan Area is lost during the whole time period. The rate of loss of vegetation coverage is very severe in Dhanmondi, gulshan, Uttara, Demra, Mirpur, Sabujbagh, Ramna, Mohammadpur, Kafrul, Shyampur and so on. The overall precision of my Landsat-derived vegetation coverage maps is 92.5%.

关键词： Dhaka Metropolitan Area Vegetation Coverage Landsat Imageries

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