National Academy Science Letters最新文献_第6页

Infestation of Isopod Parasites Renocila bijui (Crustacea: Isopoda: Cymothoidae) in Two New Host Fish Species from Andaman 安达曼两种新寄主鱼中等足类寄生虫reocila bijui的侵染

IF 1.3 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01451-y

J. Praveenraj, Sanmitra Roy, Jaya Kishor Seth, R. Megha Kumari, K. Saravanan, R. Kiruba Sankar

引用次数: 0

A New Observation about the Symbiotic Relationship of Clownfish with its Host Anemones: Documentation in Captivity 小丑鱼与宿主海葵共生关系的新观察：圈养文献

IF 1.3 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01456-7

Jeyaprakashsabari S, Vinoth R, Kathirvelpandian A, Ajith Kumar TT, Uttam Kumar Sarkar

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Generation of denovo EST-SSRs and Validation in Newly Developed Interspecific Citrus Hybrids (Citrus maxima Merr. × Citrus sinensis (L.) Osbeck) 柑桔种间杂交种EST-SSRs的产生及验证×柑橘（L.）等)

IF 1.3 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01464-7

Raushan Kumar, Nimisha Sharma, A. K. Dubey, R. M. Sharma, Neha Sharma, Gyan P. Mishra, Hatkari Vittal, Mukesh Shivran, Shruti Sethi

{"title":"Generation of denovo EST-SSRs and Validation in Newly Developed Interspecific Citrus Hybrids (Citrus maxima Merr. × Citrus sinensis (L.) Osbeck)","authors":"Raushan Kumar, Nimisha Sharma, A. K. Dubey, R. M. Sharma, Neha Sharma, Gyan P. Mishra, Hatkari Vittal, Mukesh Shivran, Shruti Sethi","doi":"10.1007/s40009-024-01464-7","DOIUrl":"10.1007/s40009-024-01464-7","url":null,"abstract":"<p>Interspecific hybridization of <i>Citrus maxima Merr.</i>(Pummelo) <i>× Citrus sinensis (L.) Osbeck</i> (Sweet Orange) resulted into new hybrids which is better than parents in terms of high juice recovery and decreased peel thickness. To characterize these newly developed 24 citrus hybrids and their 4 parents, a set of 50 <i>de novo</i> EST-SSR primers were generated. Of these specific primers, 19 showed polymorphism. Gene diversity (GD), average number of alleles per locus (An), polymorphism information content (PIC) and major allele frequency (Maf) observed were 0.36, 2.47, 0.30 and 0.73, respectively. Most of the hybrids (89%) along with red pummelo and male parents clustered together whereas white pummelo (PS-5 and PS-10) and hybrid (SCSH 3–10) clustered separately. Molecular markers clearly differentiated white and red pummelo parents in different groups. It is important to mention that, no previous investigations have done to characterize these interspecific citrus hybrids using EST-SSRs molecular marker. The information generated will be useful for characterization of interspecific citrus hybrids.</p>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 3","pages":"399 - 403"},"PeriodicalIF":1.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced Secure Trusted Routing Path Selection for Internet of Medical Things 面向医疗物联网的增强安全可信路由路径选择

IF 1.3 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01462-9

J. Vijitha Ananthi, P. Subha Hency Jose, M. Nesasudha

{"title":"Enhanced Secure Trusted Routing Path Selection for Internet of Medical Things","authors":"J. Vijitha Ananthi, P. Subha Hency Jose, M. Nesasudha","doi":"10.1007/s40009-024-01462-9","DOIUrl":"10.1007/s40009-024-01462-9","url":null,"abstract":"<div><p>The Internet of Medical Things (IoMT) plays a vital role in healthcare applications, where sensor nodes collect and transmit patient data securely. However, ensuring the security and reliability of data in IoMT remains a significant challenge. This research work presents a Trusted Secure Routing Protocol (TSRP) that enhances the security and reliability of data transmission within IoMT and other IoT environments. TSRP focuses on reducing threats such as denial-of-service attacks, unauthorized data interception, and data tampering, thereby strengthening trust and security in routing path selection. The proposed routing protocol comprises network design, routing table formation, and data transmission phases. Simulation results indicate that TSRP outperforms existing protocols, providing a high packet delivery ratio and lesser energy consumption. This proposed routing protocol aims to create a patient-centred, secure, and efficient IoMT environment, ensuring patient safety and healthcare system reliability, while also providing a flexible approach for broader IoT applicability. This adaptable framework can be extended to support other IoT applications such as smart homes, industrial IoT, and smart cities by transmitting the data via secure and trusted routing path.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 3","pages":"309 - 312"},"PeriodicalIF":1.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of Temperature and Duration of Storage on Seed Germination in Litchi (Litchi chinensis Sonn.) 温度和储藏时间对荔枝（Litchi chinensis Sonn.）种子发芽的影响

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01468-3

Narayan Lal, Abhay Kumar, ES Marboh, AK Gupta, SD Pandey, Vishal Nath

引用次数: 0

Eco-friendly High Performance Thin Layer Chromatography Technique for Quantification of Kojic Acid in Bulk and Formulations 生态友好型高效薄层色谱法定量原料药和制剂中的曲酸

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01453-w

Esha Jain, Amruta Balekundri

引用次数: 0

Comparative Study of Volatile Components in Zingiber Officinale Rosc. From Different Locations of Kumaun Region of Uttarakhand with GC-MS 姜中挥发性成分的比较研究。来自北阿坎德邦库曼地区不同地点的气相色谱-质谱分析

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01450-z

Ajay Kumar

引用次数: 0

Change in Bee Pollinators’ Guild Over the Time in the Punjab: State Under Intensive Agriculture 旁遮普邦：集约化农业下的国家蜜蜂传粉者协会的变化

IF 1.3 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01452-x

Mehakpreet Kaur, Amit Choudhary, Bharathi Mohindru, Jaspal Singh, Debjani Dey, Pardeep K. Chhuneja

引用次数: 0

First Report of Phytophthora Capsici Causing Phytophthora Blight on Bell Pepper (Capsicum annuum L.) from Haryana, India 引起印度哈里亚纳邦甜椒疫霉疫病的辣椒疫霉首次报道

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01459-4

Rajeev Kumar, Seweta Srivastava, Menakshi Rana, Nowsheen Shameem, Javid A. Parray, Rajeshwari Negi, Ajar Nath Yadav

{"title":"First Report of Phytophthora Capsici Causing Phytophthora Blight on Bell Pepper (Capsicum annuum L.) from Haryana, India","authors":"Rajeev Kumar, Seweta Srivastava, Menakshi Rana, Nowsheen Shameem, Javid A. Parray, Rajeshwari Negi, Ajar Nath Yadav","doi":"10.1007/s40009-024-01459-4","DOIUrl":"10.1007/s40009-024-01459-4","url":null,"abstract":"<div><p><i>Phytophthora</i> blight, caused by <i>Phytophthora capsici</i>, is a devastating disease threatening the bell pepper industry. This pathogen affects all parts of plants including causing rot, blight, significant harm and losses the <i>Capsicum</i> species. In the present study, symptoms of blight and damping off were noted during two years of field surveys, February–November 2021–2022. Seventy-two isolates were obtained from rhizosphere soil samples of the infected bell pepper (<i>Capsicum annuum</i>) plants. <i>Phytophthora capsici</i> Leonian was identified on the basis of morphological and cultural characteristics and culture being deposited in the Indian Type Culture Collection (ITCC) in New Delhi. The 18S rRNA ITS region was undertaken to confirm species identity. A phylogenetic tree confirmed that the obtained ITS region sequences were identical to <i>Phytophthora capsici</i> isolates. This is the first report of <i>Phytophthora</i> blight on bell peppers from the Haryana region of India.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 2","pages":"153 - 156"},"PeriodicalIF":1.2,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Multi-Factor Monitoring Fault Tolerance Model Based on a CNN Algorithm for Data Recovery 基于CNN算法的数据恢复多因素监测容错模型

IF 1.2 4区综合性期刊

National Academy Science Letters Pub Date : 2024-10-10 DOI: 10.1007/s40009-024-01446-9

Sonika A. Chorey, Neeraj Sahu

{"title":"A Multi-Factor Monitoring Fault Tolerance Model Based on a CNN Algorithm for Data Recovery","authors":"Sonika A. Chorey, Neeraj Sahu","doi":"10.1007/s40009-024-01446-9","DOIUrl":"10.1007/s40009-024-01446-9","url":null,"abstract":"<div><p>A novel CNN-based Data Restoration System is proposed to address the challenges of data recovery in various applications. Data loss or corruption can result from factors like hardware failures, file system errors, or accidental deletion. Traditional data recovery methods often struggle with complex data structures or large-scale datasets. To overcome these challenges, convolution neural networks (CNNs) are leveraged for data restoration. The system utilizes a deep learning framework that takes advantage of CNNs’ spatial understanding to recover lost or corrupted data. By training the CNN on a large dataset of intact data samples, it learns to identify essential patterns and features crucial for successful recovery. The system employs a multi-stage approach. Initially, the CNN model is trained with labeled examples of intact and corrupted data, allowing the network to learn the underlying relationships between input data and the corresponding restored output. During the restoration phase, the trained CNN is applied to corrupted or lost data, extracting relevant features and using its learned knowledge to estimate the original data. By utilizing spatial information from the CNN’s convolutional layers, the system effectively restores data with high accuracy and efficiency. Experimental results on diverse datasets demonstrate that this CNN-based Data Restoration System outperforms traditional methods in both recovery accuracy and speed, highlighting its potential for real-world applications.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"48 2","pages":"205 - 208"},"PeriodicalIF":1.2,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0