{"title":"Assessing the Efficacy of Orthosilicic Acid in Enhancing PS-II Efficiency of Minor Millets to Desiccation Stress","authors":"Vinay Hegde, K. M. Boraiah, Jagadish Rane","doi":"10.1007/s40009-025-01619-0","DOIUrl":"10.1007/s40009-025-01619-0","url":null,"abstract":"<div><p>Minor millets are emerging as promising climate-resilient alternatives to major staple crops due to the increasing impact of global climate change on agricultural systems. Understanding the adaptive mechanisms that enable these crops to withstand desiccation stress is essential for promoting their sustainable cultivation. This study investigated the effects of desiccation stress on seven minor millets: foxtail, little, kodo, barnyard, finger, and proso millet. The potential of orthosilicic acid (OSA) at a concentration of 3 ml/l was assessed for its effectiveness in mitigating the impacts of desiccation on excised leaves. Among the millets studied, finger millet demonstrated the highest desiccation tolerance, maintaining a relative water content (RWC) of 49% after 12 h of leaf desiccation. The QY max, a critical indicator of PS II efficiency, significantly declined during desiccation. The application of OSA prior to desiccation exhibited a protective effect, helping to maintain higher RWC and QY max compared to untreated desiccated leaves. In foxtail millet, OSA-treated leaves retained 32% RWC at 12 h compared to 11% in untreated desiccated leaves. QY max in OSA-treated leaves remained at 0.6 after 12 h of desiccation, while untreated desiccated leaves decreased to 0.3. Little millet demonstrated 55.4% higher RWC and 63.2% increase in QY max with OSA treatment. Kodo and barnyard millet maintained RWC of 51.6% and 44.3%, respectively, after 12 h of leaf desiccation. Understanding the adaptations of PS II and utilizing OSA as a strategy to enhance desiccation tolerance in minor millets provides valuable insights for developing climate-resilient crops. This approach contributes to global food security and supports sustainable crop production in regions with limited water resources.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 3","pages":"345 - 350"},"PeriodicalIF":1.1,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148380328","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}
Ravindra Singh, R. S. Meena, Sharda Choudhary, N. K. Meena, R. D. Meena, Arvind K. Verma, M. K. Mahatma, Ravi Y., B. Singh, Vinay Bhardwaj
{"title":"Unique Green Seed Fenugreek Genotypes for Higher Insulinotropic 4-Hydroxyisoleucine (4-OHIle), Chlorophyll and Steroidal Saponin Diosgenin","authors":"Ravindra Singh, R. S. Meena, Sharda Choudhary, N. K. Meena, R. D. Meena, Arvind K. Verma, M. K. Mahatma, Ravi Y., B. Singh, Vinay Bhardwaj","doi":"10.1007/s40009-025-01630-5","DOIUrl":"10.1007/s40009-025-01630-5","url":null,"abstract":"<div><p>Twelve genotypes including two released varieties of fenugreek were selected for the experiment and analyzed for 4-Hydroxyisoleucine, diosgenin, chlorophyll, TSS (Total Soluble Sugars) content and seed color. Recorded data were analyzed by principal component analysis, correlation coefficients. Findings shows that the green seeded fenugreek genotypes are rich in medicinal potential in comparison to yellow seeded fenugreek genotypes. Genotype 6 is richest source of 4-OHIle (0.90%), Genotype 10 is good source for 4-OHIle (0.85%) and chlorophyll (0.400 mg/100gm), both the contents are almost double when compared with yellow seeded genotypes. TSS is almost half in green seeded genotype (3.5% in G9) when compared with yellow seeded (6.39% in G11 and 6.04% in G12) favoring its consumption to sugar conscious consumers. Genotype G10 is found as good dietary source for males with 261.84 mg/100gm diosgenin content and G8 may be good option for females with 413.09 mg/100gm as higher amount of diosgenin may effect male fertility. Seed color is dark olive green (#403A13) for genotype G1 to G10 with highest chlorophyll in genotype G1 (0.447 mg/100gm) and All these green seeded genotypes are rich in medicinal values in comparison to yellow color (Saddle brown #6E4E12) seeded fenugreek and can be potential natural source for IR (Insulin Resistance), obesity and cancer.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 3","pages":"413 - 418"},"PeriodicalIF":1.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148380214","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}
Junainah Abd Hamid, K. N. Raja Praveen, Amandeep Kaur, Mandeep Kaur Chohan, Shivakrishna Dasi, P. P. N. G. Phani Kumar, Devendra Singh, Ahmed Alkhayyat
{"title":"CASIA-A Gait: Human Identification Through Gait Analysis With FAST and Harris Corner Detector Algorithms","authors":"Junainah Abd Hamid, K. N. Raja Praveen, Amandeep Kaur, Mandeep Kaur Chohan, Shivakrishna Dasi, P. P. N. G. Phani Kumar, Devendra Singh, Ahmed Alkhayyat","doi":"10.1007/s40009-025-01631-4","DOIUrl":"10.1007/s40009-025-01631-4","url":null,"abstract":"<div><p>In recent years, the study of human gait, a fundamental daily behavior, known as gait analysis, has gained significant attention. While gait recognition has been somewhat overshadowed by pattern recognition, it offers distinct advantages like non-intrusiveness and independence from subject cooperation. This study explores the integration of FAST and Harris Corner detection methods with classifiers such as MLP, Random Forest, and extreme gradient boosting using the CASIA-A dataset. The primary goal was to enhance accuracy through this combined approach. Results indicate that the extreme gradient boosting classifier achieved the highest accuracy at 92.77%, surpassing MLP and Random Forest. Key performance metrics evaluated included recognition accuracy, area under the curve, and root mean squared error, demonstrating the effectiveness of combining corner detection algorithms with advanced classifiers in enhancing gait recognition systems.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 3","pages":"419 - 423"},"PeriodicalIF":1.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148380360","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}
{"title":"Non-Apis Bee Diversity in Jammu, India, with First Records from the Region and the Northwestern Himalayas","authors":"Yousra Mukhtar, Uma Shankar","doi":"10.1007/s40009-025-01635-0","DOIUrl":"10.1007/s40009-025-01635-0","url":null,"abstract":"<div><p>This study explored the diversity of non-<i>Apis</i> bees in Jammu, India, filling gaps in their documentation for conservation. The study recorded 75 species from 23 genera, with 17 first records from the northwestern Himalayas and 12 from the Jammu region. Notably, Megachilidae family was the most diverse. The study emphasizes the need for ongoing research, conservation, and long-term monitoring to protect non-<i>Apis</i> bee biodiversity and ecosystem health.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 4","pages":"477 - 483"},"PeriodicalIF":1.1,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147905977","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}
P. Seenivasan, Ankush L. Kamble, P. S. Ananthan, Nikita Gopal, G. Janarthanan, T. Velumani
{"title":"Future Sufficiency of Ice Production for Fishery Needs: Evidence from the Southeast Coastal State of India, Tamil Nadu","authors":"P. Seenivasan, Ankush L. Kamble, P. S. Ananthan, Nikita Gopal, G. Janarthanan, T. Velumani","doi":"10.1007/s40009-025-01636-z","DOIUrl":"10.1007/s40009-025-01636-z","url":null,"abstract":"<div><p>India’s increasing fish production is paralleled by significant post-harvest losses, which highlights the need for effective preservation, such as fish icing. However, research on the feasibility of ice production is limited. To address this gap, a study in Tamil Nadu, in which 53 ice plants were assessed, revealed that ice production was profitable, with benefit-cost ratios ranging from 1.43 to 1.8. Despite the annual ice requirement of a national demand of 8.61 million tonnes (MT) versus 1.54 MT in Tamil Nadu, a 0.25 MT shortfall correlates with future increases in fish production (<i>r</i> = 0.94*), highlighting the critical need for an adequate ice supply to support the fisheries sector. The key constraints include high investment (0.81), registration challenges (0.78), and noise pollution (0.67), emphasizing the need for government support to increase the ice supply and reduce post-harvest losses.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 4","pages":"485 - 490"},"PeriodicalIF":1.1,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148695229","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}
Bimal K. Chetri, S. S. Sonu, Rahul G. Shelke, Sudip Mitra, Latha Rangan
{"title":"De Novo Plastome Analysis of Elsholtzia blanda and Comparative Insights Across the Elsholtzia Genus","authors":"Bimal K. Chetri, S. S. Sonu, Rahul G. Shelke, Sudip Mitra, Latha Rangan","doi":"10.1007/s40009-025-01633-2","DOIUrl":"10.1007/s40009-025-01633-2","url":null,"abstract":"<div><p>This study performs a <i>de novo</i> analysis of plastome from ten Elsholtzieae species, including <i>Elsholtzia blanda</i> (151,970 bp), to uncover evolutionary history and adaptations. The plastome maintain a conserved quadripartite structure, averaging 150,843 bp with a GC content of 37.89%. Among the compared plastomes, the analysis revealed conserved regions and species-specific variations. Genes <i>ycf</i>1_copy and <i>mat</i>K had high nucleotide diversity, while <i>rpl</i>2 and <i>rps</i>7 were conserved. Non-coding <i>psb</i>T_<i>psb</i>N (0.088) was more diverse than <i>rpl</i>23_<i>rpl</i>2 (<i>Pi</i> = 0.0), suggesting adaptation. Phylogenetic analysis confirms <i>E. blanda</i>’s close relation to <i>E. rugulosa</i>, enhancing understanding of Elsholtzieae evolution and conservation.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 4","pages":"457 - 462"},"PeriodicalIF":1.1,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148695230","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}
{"title":"Epiphytic Algae from Kolong River - a Major Tributary of Brahmaputra Basin of South-East Asia with Ten New Reports from India","authors":"Shaswatee Bhattacharjee, Partha Pratim Baruah","doi":"10.1007/s40009-025-01634-1","DOIUrl":"10.1007/s40009-025-01634-1","url":null,"abstract":"<div><p>The present investigation focuses to compile a database of epiphytic microalgal diversity colonizing luxuriantly on submerged parts of <i>Eichhornia crassipes</i> in the Kolong River under Brahmaputra basin, a major river basin in South East Asia. A total of 147 epiphytic microalgal species were enumerated belonging to 69 genera, 41 families under 6 phyla. Desmidiaceae with 35 species emerged as species rich family followed by Scenedesmaceae (20) and Euglenophyceae (15). <i>Cosmarium</i> (Desmidiaceae) was the dominant genus with 23 species. Out of 147 identified algal species, a total of 10 species belonging to Chlorophyta (5), Heterokontophyta (4) and Euglenophyta (1) were reported as new to Indian algal flora from this region.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 4","pages":"463 - 476"},"PeriodicalIF":1.1,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148695231","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}
Jayant G. Joshi, Mandar P. Joshi, S. Raghavan, Shyam S. Pattnaik
{"title":"Wearable Bandpass Filter Using Coupled Microstrip Lines","authors":"Jayant G. Joshi, Mandar P. Joshi, S. Raghavan, Shyam S. Pattnaik","doi":"10.1007/s40009-025-01632-3","DOIUrl":"10.1007/s40009-025-01632-3","url":null,"abstract":"<div><p>In this research paper, polyester cloth substrate based bandpass microstrip filter is proposed. This wearable filter is useful for NATO applications to pass band of 4.20 to 4.53 GHz. The return and insertion losses are –29.81 and −0.31 dB respectively at 4.35 GHz. The presented wearable filter structure is fabricated and tested using Agilent Vector network analyzer. The simulated and measured results are found in good agreements. Equivalent circuit of this filter is prepared and validated the results. The research contribution is an attempt to propose a microstrip line wearable filter and approach to calculate transfer function of a wearable microstrip filter.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 3","pages":"425 - 431"},"PeriodicalIF":1.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148380404","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}
Kanta Prasad Sharma, B. Jayaprakash, Nilesh Bhosle, S. Srinadh Raju, Mandeep Kaur Chohan, Heena Madan, Ahmed Alkhayyat, Lakshay Bareja
{"title":"Enhancing Human Activity Recognition in Smart Surveillance Using Transfer Learning","authors":"Kanta Prasad Sharma, B. Jayaprakash, Nilesh Bhosle, S. Srinadh Raju, Mandeep Kaur Chohan, Heena Madan, Ahmed Alkhayyat, Lakshay Bareja","doi":"10.1007/s40009-025-01626-1","DOIUrl":"10.1007/s40009-025-01626-1","url":null,"abstract":"<div><p>Human activity recognition is vital in areas like healthcare, smart homes, and surveillance. With deep learning advancements, traditional handcrafted features have been replaced by more effective methods. This study applies the MobileNetV2 model, fine-tuned using transfer learning, for activity recognition in smart surveillance systems. Initially trained on the ImageNet dataset, MobileNetV2 was adapted for the UCF101 benchmark dataset, which includes 101 diverse activities like guitar playing and jumping. Our goal was to boost recognition accuracy. Evaluation metrics such as accuracy, precision, F1-score, AUC, and RMSE showed the model’s exceptional performance. The fine-tuned MobileNetV2 achieved a 97.05% accuracy, demonstrating its reliability and effectiveness for human activity recognition in smart surveillance applications.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 3","pages":"387 - 391"},"PeriodicalIF":1.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148380405","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}
{"title":"Seasonal Spectrum of Butterfly Diversity in an Informal Urban Greenspace of Barrackpore, India","authors":"Subhasree Sarkar","doi":"10.1007/s40009-025-01627-0","DOIUrl":"10.1007/s40009-025-01627-0","url":null,"abstract":"<div><p>Butterflies, an amalgamation of beauty and functionality, serving as aesthetic wonders, pollinators and vital bioindicators. However, they are also falling prey to the mounting anthropogenic stresses like rampant urbanization. Amidst threats, informal urban greenspaces(IGS) hold value, yet their ecological potential remains underexplored. The study utilized year-long systematic field surveys to document butterfly diversity, their relative visiting frequencies (RVF), seasonal occurrences with potential host plants in a 654.89 sq. m IGS nestled in Barrackpore, North 24 Parganas, West Bengal recording 37 butterfly species spanning 5 distinct families, 12 subfamilies and 29 genera. Led by Nymphalidae with 15 species followed by Pieridae(8), Lycaenidae (6), Papilionidae (6) and Hesperiidae(2). Tailed Jay dominated the area(RVF=0.080472) while Peacock Pansy visited the least(RVF=0.000524). The species richness peaked in the Post-monsoon season, succeeded by Pre-monsoon, and was least during Monsoon. Out of the observed species, 7 fall under the purview of Indian Wildlife (Protection) Act,1972. The findings highlight the rich diversity of an IGS which calls for an extensive apprehension and preservation of such habitats for conserving the butterfly taxa and improving the health of the urban ecosystem as a whole. This study has endeavoured to compile a comprehensive list, serving as preliminary data for future references to understand butterfly ecology within similar IGS of this region. These insights can further be incorporated in designing urban greenspaces like parks, butterfly gardens creating hotspots for butterflies.</p></div>","PeriodicalId":717,"journal":{"name":"National Academy Science Letters","volume":"49 3","pages":"393 - 399"},"PeriodicalIF":1.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148381030","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}