1,543 research outputs found
Panus bambusinus N. Vinjusha & T. K. A. Kumar, comb. nov.
<i>Panus bambusinus</i> (T.K.A. Kumar & Manim.) N. Vinjusha & T.K.A. Kumar <i>comb. nov.</i> <p> Basionym:— <i>Lentinus bambusinus</i> T.K.A. Kumar & Manim., Mycotaxon 92: 119 (2005) (Fig. 1)</p> <p> Description: <i>—Basidiomata</i> annual, small to large, solitary or caespitose, centrally stipitate. <i>Pileus</i> 15‒200 mm diam, weakly depressed in the centre or infundibuliform, concentric zone absent, squamulose when young, almost glabrous with age, wrinkled in dried specimens, yellowish brown to light brown, margin entire, dentate or irregularly lobed. <i>Hymenophore</i> lamellate. Lamellae close, decurrent, sometimes dichotomously branched, edge finely fimbriate under a 10×lens, lamellulae present in 3‒4 tiers, yellowish white. <i>Context</i> up to 6 mm thick, white. <i>Stipe</i> 40‒100 mm long, 5‒25 mm thick, central, cylindrical, even in younger specimens, tapering towards the base in older specimens, surface glabrous to matted fibrillose or strigose, sometimes with sparse and scattered squamules, yellowish white to brown, tissue solid, cream. <i>Odour</i> not distinct. <i>Spore print</i> not observed.</p> <p> <i>Basidiospores</i> 5–6.5 × 4–4.5 μm, Q=1.3–1.7, Q m =1.32, ellipsoid to ovoid, hyaline, smooth, thin-walled, with refractive guttules, inamyloid in Melzer’s reagent. <i>Basidia</i> 20‒37 × 5‒7 μm, clavate, 4 sterigmate. <i>Cheilocystidia</i> present, 22‒68 × 3‒5 μm, versiform, generally flexuose, branched towards apex, hyaline, smooth, thin-walled with obtuse tips. <i>Gloeocystidia</i> frequent on edges and sides of lamellae, 24‒48 × 6‒15 μm, mostly fusoid with acuminate tips, or narrowly clavate, hyaline, smooth, thin-walled. <i>Hyphal pegs</i> absent. <i>Hymenial trama</i> radially arranged, and dimitic. Generative hyphae 2‒6 μm wide, hyaline, smooth, thin to slightly thick-walled (up to 1 μm), branched, with clamp connections. Skeletal hyphae dominant, 2‒4 μm wide, hyaline, thick-walled (1 μm), mostly unbranched, rarely branched, septations not observed. Skeleto ligative hyphae not observed. <i>Pileal trama</i> radially arranged. Generative hyphae 2‒6 μm wide, rarely inflated up to 10 µm, hyaline, smooth, thin to slightly thick-walled (up to 1 μm), branched, with clamp connections. Skeletal hyphae dominant, 2‒6 μm wide, hyaline, thick-walled (1 μm), mostly unbranched, rarely branched, septations not observed. Skeleto ligative hyphae not observed. <i>Pileipellis</i> with scattered trichodermial patches, up to 100 μm long, made of hyphae that are 2‒4 μm wide, hyaline, thin to slightly thick-walled (up to 1 µm), with obtuse ends. <i>Stipe trama</i> interwoven. Generative hyphae 2‒5 μm wide, hyaline, smooth, thin to slightly thickwalled (up to 1 μm), branched, with clamp connections. Skeletal hyphae 2‒5 μm wide, hyaline, thick-walled (1 μm), mostly unbranched, rarely branched, septations not observed. <i>Stipitipellis</i> similar as pileipellis, made of hyphae that are 2‒4 μm wide, hyaline, mostly thin-walled, with obtuse ends.</p> <p> Specimens examined:— INDIA. Kerala State: Malappuram district, Thenjipalam, Calicut University Campus, Alt. 2 m, 1.1339° N, 75.8940° E, on dead roots and rhizomes of <i>Bambusa bambos</i>, 2 July 2004, <i>Arun Kumar AK61</i> <i>a;</i> 5 July 2004, <i>Arun Kumar AK61</i> <i>b</i> (part of the holotype deposited at L); 18 October 2004, <i>Arun Kumar AK61</i> <i>c</i>; 20 October 2004, <i>Arun Kumar AK61</i> <i>d</i>; 26 October 2004, <i>Arun Kumar AK61</i> <i>e</i>.</p>Published as part of <i>Arun Kumar, T. K., 2021, Two new combinations in the genus Panus (Panaceae, Polyporales) based on morphology and molecular phylogeny, pp. 287-294 in Phytotaxa 514 (3)</i> on page 289, DOI: 10.11646/phytotaxa.514.3.8, <a href="http://zenodo.org/record/5316276">http://zenodo.org/record/5316276</a>
Frequency Dependence Effective Refractive Index of Meta–Materials by Effective Medium Theory
In this present communication we studied the frequency dependenceof the effective electromagnetic parameters of left-handed and relatedmeta-materials (NIMs) of the split ring resonator (SRR) and wire type.By varying the width of inserted material as well as the host material,we also calculate the effective parameters of NIM like effectivepermittivity and effective permeability. Using these parameters, wecalculate the effective refractive index and impedance of theconsidered medium. Our results reveal that the negative index ofmaterials can be achieved when the thickness of the host materialsshould equal to the thickness of the inserted materials
Eumenes placens Nurse 1903
20) <i>Eumenes placens</i> Nurse, 1903 <p> <i>Eumenes placens</i> Nurse, 1903: 530. Type data: Female, BMNH. Type locality: Murree, Kashmir, Pakistan.</p> <p> <i>Eumenes coarctatus</i> var. <i>placens</i>; Dover, 1925 (1924): 291.</p> <p> <b>Material examined.</b> INDIA: <b>Uttarakhand</b>: Uttarkashi district, Rawai forest, 16.vi.1981, 1 ♀ & 1 ♂, Coll. Arun Kumar & Party, ZSIK Regd. Nos. ZSI/ WGRC /IR/INV.12975 & 12976; Dehradun district, Sahiya, 18.vii.2019, 1 ♀, Coll. P. Girish Kumar, ZSIK Regd. No. ZSI/ WGRC /IR/INV.12977.</p> <p> <b>Distribution.</b> India: Himachal Pradesh, Jammu & Kashmir, Uttarakhand (new record). <i>Elsewhere</i>: Pakistan. (Girish Kumar <i>et al.</i> 2017b, Rafi <i>et al.</i> 2017).</p>Published as part of <i>Gawas, Sandesh M., Kumar, Girish, Pannure, Arati, Gupta, Ankita & Carpenter, James M., 2020, An annotated distributional checklist of Vespidae (Hymenoptera: Vespoidea) of India, pp. 1-87 in Zootaxa 4784 (1)</i> on page 11, DOI: 10.11646/zootaxa.4784.1.1, <a href="http://zenodo.org/record/3862319">http://zenodo.org/record/3862319</a>
Fabrication of a Flexible UV Band-Pass Filter Using Surface Plasmon Metal-Polymer Nanocomposite Films for Promising Laser Applications
We introduce a strategy for the fabrication of silver/polycarbonate (Ag/PC) nanocomposite flexible films of (20 +/- 0.01) mu m thickness with different filling factor of surface plasmon metal using customized solution cast thermal evaporation method. Structural characterizations confirmed the good crystallinity with cubic phase of Ag nanoparticles in PC films. Moreover, the microstructural evolutions of nanocomposite films are investigated by transmission electron microscopy, which indicates that the metal fraction is in the form of fractals. Additionally, the surface plasmonic behavior of nanocomposite films has been explored in detail to examine the distribution of Ag nanoparticles in PC film by spectroscopic technique. Furthermore, the obtained transmittance spectral features of this nanocomposite film are suitable for the applications of band-pass filter at 320 nm UV range, which is highly desirable for a HeCd laser
Excellent yield of a variety of silicon-boron radicals and their reactivity
Herein we report stable silicon-boron radicals of composition LSi(NMe2)–B(Br)Tip (1), LSi(NMe2)–B(I)Tip (2) LSi(tBu)–B(I)Tip (3) [L = PhC(NtBu)2]. They were prepared in high yield using a one pot reaction of LSiR, X2BTip and KC8 in a 1 : 1 : 1 molar ratio (R = tBu, NMe2; X = Br, I). The reaction of the silicon–boron radical with Br2 and Se affords the dihalogenated compound LSi(tBu)–B(Br2)Tip (4) and oxidative addition product LSi(tBu)[double bond, length as m-dash]Se (5). All the compounds were characterized by single-crystal X-ray structural analysis, electron paramagnetic resonance (EPR) analysis, elemental analysis, multinuclear NMR spectroscopy, and mass spectrometry. Quantum chemical calculations show that the B-centered radicals 1–3 are stabilised by hyperconjugative interactions.Danmarks Grundforskningsfond https://doi.org/10.13039/501100001732Fonds der Chemischen Industrie https://doi.org/10.13039/100018992National Institute of Technology Calicut https://doi.org/10.13039/501100015063Science and Engineering Research Board https://doi.org/10.13039/50110000184
Genome wide association analysis for grain micronutrients and anti-nutritional traits in mungbean [Vigna radiata (L.) R. Wilczek] using SNP markers
Mungbean is an important food grain legume for human nutrition and nutritional food due to its nutrient-dense seed, liked palatability, and high digestibility. However, anti-nutritional factors pose a significant risk to improving nutritional quality for bio fortification. In the present study, genetic architecture of grain micronutrients (grain iron and zinc concentration) and anti-nutritional factors (grain phytic acid and tannin content) in association mapping panel of 145 diverse mungbean were evaluated.
Based on all four parameters genotypes PUSA 1333 and IPM 02-19 were observed as desired genotypes as they had high grain iron and zinc concentration but low grain phytic acid and tannin content. The next generation sequencing (NGS)-based genotyping by sequencing (GBS) identified 14,447 genome-wide SNPs in a diverse selected panel of 127 mungbean genotypes. Population admixture analysis revealed the presence of four different ancestries among the genotypes and LD decay of ∼57.6 kb kb physical distance was noted in mungbean chromosomes. Association mapping analysis revealed that a total of 20 significant SNPs were shared by both GLM and Blink models associated with grain micronutrient and anti-nutritional factor traits, with Blink model identifying 35 putative SNPs. Further, this study identified the 185 putative candidate genes. Including potential candidate genes Vradi07g30190, Vradi01g09630, and Vradi09g05450 were found to be associated with grain iron concentration, Vradi10g04830 with grain zinc concentration, Vradi08g09870 and Vradi01g11110 with grain phytic acid content and Vradi04g11580 and Vradi06g15090 with grain tannin content. Moreover, two genes Vradi07g15310 and Vradi09g05480 showed significant variation in protein structure between native and mutated versions. The identified SNPs and candidate genes are potential powerful tools to provide the essential information for genetic studies and marker-assisted breeding program for nutritional improvement in mungbean
Oscillation criteria for two dimensional linear neutral delay difference systems
summary:In this work, necessary and sufficient conditions for the oscillation of solutions of 2-dimensional linear neutral delay difference systems of the form are established, where , , are integers and , , , , are sequences of real numbers
Internet of Things and machine learning in agriculture: technological impacts and challenges De Gruyter frontiers in computational intelligence ;, v. 8./ edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore.
Includes bibliographical references and index.Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. 'Machine Learning and the Internet of Things' can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.Part I. 1. 2. 3. 4. 5. Part II. 6. 7. 8. 9. Part III. 10. 11. 12. 13. 14. 15. 16. 17. 18. Index. Parul Verma and Umesh Kumar -- Ashish Tripathi, Arun Kumar Singh, Khararee Narayan Singh, Krishna Kant Singh, Pushpa Choudhary, and Prem Chand Vashist -- Jyoti Batra Arora -- Nilesh Uke, Trupti Thite, and Supriya Saste -- Sivakumar Rajagopal, Sonai Rajan Thangaraj, J. Paul Mansingh, and B. Prabadevi -- Aarti and Amit Kumar -- K. Krishnaveni, E. Radhamani, and K. Preethi -- Jibin Varghese, J. Jeba Praba, and John J. George -- Nikunj Rajyaguru, Shubhendu Vyas, and Kunjan Vyas -- Suvarna Pawar and Pravin Futane -- J. H. Kamdar, M. D. Jasani, J. D. Jasani, J. Jeba Praba, and John J. George -- Sapna Nigam, Rajni Jain, Sudeep Marwaha, and Alka Arora -- Sandip Kumar Roy and Preeta Sharan -- Mahua Bose and Kalyani Mali -- Tan Pham Nhat and Son Vu Truong Dao -- Shubhendu Vyas, Nikunj Rajyaguru, and Kunjan Vyas -- Yash Joshi, Sachit Mishra, and R. S. Ponmagal -- Punam Bedi, Pushkar Gole, and Sumit Kumar Agarwal -- Frontmatter -- Preface -- Acknowledgments -- Contents -- List of contributors -- Machine Learning and Internet of Things in Agriculture -- Smart farming : Using IoT and machine learning techniques / Food security and farming through IoT and machine learning / An innovative combination for new agritechnological era / Recent advancements and challenges of artificial intelligence and IoT in agriculture / Technological impacts and challenges of advanced technologies in agriculture / Applications of Internet of Things in Agriculture -- IoT-based platform for smart farming - Kaa / Internet of things platform for smart farming / Internet of things platform for smart farming / Internet of things platform for smart farming / Applications of Machine Learning in Agriculture -- Kisan-e-Mitra : A tool for soil quality analyzer and recommender system / Artificial intelligence for plant disease detection : Past, present, and future / Wheat rust disease identification using deep learning / Image-based hibiscus plant disease detection using deep learning / Rainfall prediction by applying machine learning technique / Plant leaf disease classification based on feature selection and deep neural network / Using deep learning for image-based plant disease detection / Using deep learning for image-based plant disease detection / Using deep learning for image-based plant disease detection /1 online resource (xvi, 410 pages)
Measurement of WZ and ZZ production in pp collisions at √s = 8 TeV in final states with b-tagged jets
Open Access This article is distributed under the terms of the Creative
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reproduction in any medium, provided the original author(s) and the
source are credited.
Funded by SCOAP3 / License Version CC BY 4.0.Measurements are reported of the WZ and ZZ production cross sections in proton-proton collisions at s √ =8 TeV in final states where one Z boson decays to b-tagged jets. The other gauge boson, either W or Z, is detected through its leptonic decay (either W→eν , μν or Z→e + e − , μ + μ − , or νν ¯ ). The results are based on data corresponding to an integrated luminosity of 18.9 fb −1 collected with the CMS detector at the Large Hadron Collider. The measured cross sections, σ(pp→WZ)=30.7±9.3(stat.)±7.1(syst.)±4.1(th.)±1.0(lum.)pb and σ(pp→ZZ)=6.5±1.7(stat.)±1.0(syst.)±0.9(th.)±0.2(lum.)pb , are consistent with next-to-leading order quantum chromodynamics calculationsBMWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil);
MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CS (Croatia); RPF (Cyprus); MoER, SF0690030s09 and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF(Germany);GSRT(Greece);OTKAand NIH(Hungary);DAEand DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); NRF and WCU (Republic of Korea); LAS (Lithuania);MOE and UM(Malaysia); CINVESTAV, CONACYT, SEP, and UASLP-FAI (Mexico); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS and RFBR (Russia); MESTD (Serbia); SEIDI and CPAN (Spain); Swiss Funding Agencies (Switzerland);
NSC (Taipei); ThEPCenter, IPST, STAR and NSTDA(Thailand); TUBITAK and TAEK (Turkey); NASU and SFFR (Ukraine); STFC (United Kingdom); DOE and NSF (USA)
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