Preliminary study on the potential use of RPA images to quantify the influence of the defoliation after coffee harvesting to its yield

Received: January 24th, 2023 ; Accepted: May 22nd, 2023 ; Published: September 18th, 2023 ; Correspondence: [email protected] is an agricultural commodity with global commercial importance capable of impacting the production chain. The quantification of defoliation at harvest is important for monitoring crop yield because defoliation is one of the main types of damage caused by this agricultural operation in coffee crops. Thus, the objective of this study was to evaluate the relationship between yield and defoliation obtained in the field and obtained through remotely piloted aircraft (RPA) images. The experiment was conducted in a coffee plantation belonging to the Federal University of Lavras (UFLA), Lavras, Minas Gerais state, Brazil. An RPA with a rotary wing containing a multispectral camera was used in autonomous flight mode with a height of 30 m, an image overlap of 80%, and a speed of 3 m s-1 . The images were collected before and after the 2020 and 2021 harvest, defoliation data obtained in the field were measured in 2020 and 2021, and the yield was measured from 2019 to 2021. Image processing was performed in the software PhotoScan, postimage processing was performed in QGIS, and statistical analyses were performed using the software R. With the processing of the images in 2020, the crop showed reductions of 17.3% and 18.4% in leaf area and volume, respectively, after harvest. In 2021, the crop showed reductions of 12.8% and 9.8% in leaf area and volume, respectively, after harvest. The leaf area and leaf volume of the coffee plantation after harvest could be quantified by means of images obtained by RPA, which allowed the observation of the loss of area and volume of the coffee plantation. Furthermore, it was possible to analyse the interactions between field data and the yield of the same harvest year, which were directly proportional, and the interaction of image data from one year with the previous yield, which were inversely proportional. In the year 2020, there was a reduction of 17.3% in leaf area after harvest, and a reduction of 18.4% in leaf volume after harvest in the plots under study.In the processing carried out in 2021, there was a 12.8% reduction in leaf area after harvest, and a 9.8% decrease in leaf volume after harvest in the plots under study

Magnetic And Magnetocaloric Properties On The U1-y Ry Ga2 (r=er And Dy) Compound

The magnetic, calorimetric, and magnetocaloric properties of the pseudobinary U1-y Ry Ga2 (R=Er and Dy) series were studied to determine its potential as a candidate for use in cryogenic magnetic refrigeration. The partial substitution of Dy and Er for U provides a wide range of the ordering temperature and increases the saturation magnetic moment. The results for U1-y Dyy Ga2 with 0.6<y<0.9 show evidences of a spin-glass-like (SG) behavior, possibly as a consequence of competing anisotropy and exchange interactions within a frustrated hexagonal spin lattice. The isothermal magnetic entropy change (Δ Smag) observed for U Ga2 shows a well defined peak centered on TC, which is gradually broadened and shifted to lower temperatures as the Er and Dy content increases. For low concentrations (0.2≤y≤0.4) a tablelike profile is observed in the Δ Smag curve. © 2008 American Institute of Physics.1037Gschneidner Jr., K.A., Pecharsky, V.K., Tsokol, A.O., (2005) Radiat. Prot. Dosim., 68, p. 1479Bruck, E., (2005) J. Phys. D, 38, p. 381Yu, B.F., Gao, Q., Zhang, B., Meng, X.Z., Chen, Z., (2003) Int. J. Refrig., 26, p. 622Gschneidner Jr., K.A., Pecharsky, A.O., Pecharsky, V.K., (2001), 11, p. 433. , Cryoolers (Academic-Plenum, New York), Vol.,Smaili, A., Chahine, R., (1996) Adv. Cryog. Eng., 42, p. 445Hashimoto, T., Kuzuhura, T., Sahashi, M., Inomata, K., Tomokiyo, A., Yayama, H., (1987) J. Appl. Phys., 62, p. 3873Lima, A.L., Gschneidner Jr., K.A., Pecharsky, V.K., Pecharsky, A.O., (2003) Phys. Rev. B, 68, p. 134409De Oliveira, N.A., Von Ranke, P.J., (2003) J. Magn. Magn. Mater., 264, p. 55Tsai, T.H., Sellmyer, D.J., (1979) Phys. Rev. B, 20, p. 4577Doukouŕ, M., Gignoux, D., (1982) J. Magn. Magn. Mater., 30, p. 111Gignoux, D., Schimitt, D., Takeuchi, A., Zhang, F.Y., (1991) J. Magn. Magn. Mater., 97, p. 15Andreev, A.V., Belov, K.P., Deryagin, A.V., Levitin, R.Z., Menovsky, M., (1979) J. Phys. Colloq., 4, p. 82Mydosh, J.A., (1993), Spin Glasses: An Experimental Introduction (Taylor&Francis, London)Markin, P.E., Baranov, N.V., Sinitsyn, E.V., (1991) Physica B, 168, p. 19

Magnetocaloric Effect And Evidence Of Superparamagnetism In Gda L2 Nanocrystallites: A Magnetic-structural Correlation

The correlation between structural and magnetic properties of GdAl2, focusing on the role played by the disorder in magnetic ordering and how it influences the magnetocaloric effect (MCE) are discussed. Micrometric-sized particles, consisting of nanocrystallites embedded in an amorphous matrix, were prepared by a mechanical milling technique and characterized by means of x-ray diffraction, scanning and high-resolution transmission electron microscopy as well as magnetic measurements as a function of an applied external magnetic field and temperature. The results show that the average particle size is just slightly diminished (≈7%) with the milling time (between 3 and 13 h), whereas the average crystallite size undergoes an expressive reduction (≈43%). For long milling times, structural disorders mostly associated with crystallite size singularly affect the magnetic properties, leading to a large tablelike MCE in the temperature range between 30 and 165 K. Below 30 K, nanocrystallites with dimensions below a given critical size cause an enhancement in the magnetic entropy change related to superparamagnetic behavior. In contrast, for low milling times, relative cooling power values are improved. These striking features along with the small magnetic hysteresis observed make the milled GdAl2 a promising material for application in the magnetic refrigeration technology. Finally, a discussion in an attempt to elucidate the origin of the spin-glass states previously reported in the literature for mechanically milled GdAl2 samples for very long times (400 and 1000 h) is presented. © 2016 American Physical Society.93

Magnetization And Specific Heat In U 1-xla Xga 2 And Magnetocaloric Effect In Uga 2

We have investigated the properties of the ferromagnetic series U1-x Lax Ga2. The magnetization results show a reduction of μeff and of Tc when x is increased. The electronic coefficient γ of the specific heat increases to a maximum of 260 mJUmol K2 at x=0.75. This behavior is probably consequence of delocalization of 5f electrons, causing enhancement of the density of states. For x=0.9 the ordering disappears and a non-Fermi-liquid behavior is observed. U Ga2 also presented a significant magnetocaloric effect of Δ Smag =-3.5 Jkg K at 120 K and H=7 T which can be modified by chemical pressure. © 2005 American Institute of Physics.9710Andeev, A.V., Belov, K.P., Deriagin, A.V., Levitin, R.Z., Menovsky, A., (1979) J. Phys. Colloq., 4, p. 82Da Silva, L.M., Gandra, F.G., Rojas, D.P., Cardoso, L.P., Medina, A.N., (2002) Physica B, 312-313, p. 906Tran, V.H., Kaczorowski, D., Roisnel, T., Tróc, R., Noel, H., Bouŕe, F., Andŕ, G., (1995) Physica B, 205, p. 24Gandra, F.G., Rojas, D.P., Shlyk, L., Cardoso, L.P., Medina, A.N., (2001) J. Magn. Magn. Mater., 226, p. 1312Barbara, B., (1973) J. Phys. (Paris), 34, p. 1039Sechovsky, V., Havela, L., Svoboda, P., (1986) J. Less-Common Met., 121, p. 163Segal, E., Wallace, W.E., (1975) J. Solid State Chem., 13, p. 201Radwanski, R.J., Kim-Ngan, N.H., (1995) J. Magn. Magn. Mater., 140, p. 1373Zapf, V.S., Dickey, R.P., Freeman, E.J., Sirvent, C., Maple, M.B., (2002) Phys. Rev. B, 65, p. 024437Pecharsky, V.K., Gschneider Jr., K.A., (1997) Phys. Rev. Lett., 78, p. 4494Pecharsky, V.K., Gschneider Jr., K.A., (1997) Phys. Rev. Lett., 78, p. 4494Plackowski, T., Junod, A., Bouquet, F., Sheikin, I., Wang, Y., Jezÿowski, A., Mattenberger, K., (2003) Phys. Rev. B, 67, p. 184406Svobodaa, P., Sechovsky, V., Menovsky, A.A., (2003) Physica B, 339, p. 177Gama, S., Coelho, A.A., De Campos, A., Carvalho, A.M.G., Gandra, F.G., Von Ranke, P.J., De Oliveira, N.A., Phys. Rev. Lett

Electron Collisions With Ammonia And Formamide In The Low- And Intermediate-energy Ranges

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)We report an investigation on electron collisions with two nitrogen-containing compounds, namely ammonia (NH3) and formamide (NH2CHO). For ammonia, both theoretical and experimental differential, integral, and momentum-transfer cross sections, as well as calculated grand-total and total absorption cross sections, are reported in the 50-500 eV incident energy range. Calculated results of various cross sections are also reported for energies below 50 eV. Experimentally, angular distributions of the scattered electrons were measured using a crossed electron beam-molecular beam geometry and then converted to absolute differential cross sections using the relative flow technique. Absolute integral and momentum-transfer cross sections for elastic e - ammonia scattering were also derived from the measured differential cross sections. For formamide, only theoretical cross sections are presented in the 1-500 eV incident energy range. A single-center-expansion technique combined with the method of Padé was used in our calculations. For both targets, our calculated cross sections are compared with the present measured data and with the theoretical and experimental data available in the literature and show generally good agreement. Moreover, for formamide, two shape resonances located at 3.5 eV and 15 eV which correspond to the continuum 2A'' and 2A' scattering symmetries, respectively, are identified. The former can be associated to the 2B1 shape resonance in formaldehyde located at around 2.5 eV, whereas the latter can be related to the 2E resonance in ammonia at about 10 eV. Such correspondence is very interesting and so supports the investigation on electron interaction with small building blocks, instead of with larger biomolecules.906CAPES; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; FAPESP; Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Boudaïffa, B., Cloutier, P., Hunting, D., Huels, M.A., Sanche, L., (2000) Science, 287, p. 1658. , SCIEAS 0036-8075Huels, M.A., Boudaïffa, B., Cloutier, P., Hunting, D., Sanche, L., (2003) J. Am. Chem. Soc., 125, p. 4467. , JACSAT 0002-7863Sugohara, R.T., Homem, M.G.P., Sanches, I.P., De Moura, A.F., Lee, M.T., Iga, I., (2011) Phys. Rev. A, 83, p. 032708. , PLRAAN 1050-2947Lee, M.-T., De Souza, G.L.C., Machado, L.E., Brescansin, L.M., Dos Santos, A.S., Lucchese, R.R., Sugohara, R.T., Iga, I., (2012) J. Chem. Phys., 136, p. 114311. , JCPSA6 0021-9606De Souza, G.L.C., Lee, M.-T., Sanches, I.P., Rawat, P., Iga, I., Dos Santos, A.S., Machado, L.E., Lucchese, R.R., (2010) Phys. Rev. A, 82, p. 012709. , PLRAAN 1050-2947Sugohara, R.T., Homem, M.G.P., Iga, I., De Souza, G.L.C., Machado, L.E., Ferraz, J.R., Dos Santos, A.S., Lee, M.-T., (2013) Phys. Rev. A, 88, p. 022709. , PLRAAN 1050-2947Sato, T., Shibata, F., Goto, T., (1986) Chem. Phys., 108, p. 147. , CMPHC2 0301-0104Brüche, E., (1927) Ann. Phys. (Leipzig), 83, p. 1065. , ANPYA2 0003-3804Sueoka, O., Mori, S., (1984) J. Phys. Soc. Jpn., 53, p. 2491. , JUPSAU 0031-9015Szmytkowski, C., Maciag, K., Karwarsz, G., Filipović, D., (1989) J. Phys. B, 22, p. 525. , JPAPEH 0953-4075Zecca, A., Karwasz, G.P., Brusa, R.S., (1992) Phys. Rev. A, 45, p. 2777. , PLRAAN 1050-2947García, G., Manero, F., (1996) J. Phys. B, 29, p. 4017. , JPAPEH 0953-4075Ariyasinghe, W.M., Wijeratne, T., Palihawadana, P., (2004) Nucl. Instrum. Meth. B, 217, p. 389Jones, N.C., Field, D., Lunt, S.L., Ziesel, J.P., (2008) Phys. Rev. A, 78, p. 042714. , PLRAAN 1050-2947Rao, M.V.V.S., Srivastava, S.K., (1992) J. Phys. B, 25, p. 2175. , JPAPEH 0953-4075Hayashi, H., (1981), Institute of Plasma Physics, Nagoya University, Japan, Report No. IPPJ-AM-19, (unpublished)Pack, J.I., Voshall, R.E., Phelps, A.V., (1962) Phys. Rev., 127, p. 2084. , PHRVAO 0031-899XAltshuler, S., (1957) Phys. Rev., 107, p. 114. , PHRVAO 0031-899XBen Arfa, M., Tronc, M., (1988) J. Chim. Phys., 85, p. 889Furlan, M., Hubin-Franskin, M.-J., Delwiche, J., Collin, J.E., (1990) J. Chem. Phys., 92, p. 213. , JCPSA6 0021-9606Alle, D.T., Gulley, R.J., Buckman, S.J., Brunger, M.J., (1992) J. Phys. B, 25, p. 1533. , JPAPEH 0953-4075Harshbarger, W.R., Skerbele, A., Lassettre, E.N., (1971) J. Chem. Phys., 54, p. 3784. , JCPSA6 0021-9606Gulley, R.J., Brunger, M.J., Buckman, S.J., (1992) J. Phys. B: At. Mol. Opt. Phys., 25, p. 2433. , JPAPEH 0953-4075Gianturco, F.A., Jain, A., (1986) Phys. Rep., 143, p. 347. , PRPLCM 0370-1573Pritchard, H.P., Lima, M.A.P., McKoy, V., (1989) Phys. Rev. A, 39, p. 2392. , 0556-2791Gianturco, F., (1991) J. Phys. B: At. Mol. Opt. Phys., 24, p. 4627. , JPAPEH 0953-4075Rescigno, T.N., Lengsfield, B.H., McCurdy, C.W., Parker, S.D., (1992) Phys. Rev. A, 45, p. 7800. , PLRAAN 1050-2947Ribeiro, E.M.S., Machado, L.E., Lee, M.-T., Brescansin, L.M., (2001) Comput. Phys. Commun., 136, p. 117. , CPHCBZ 0010-4655Munjal, H., Baluja, K., (2007) J. Phys. B, 40, p. 1713. , JPAPEH 0953-4075Jain, A.K., Tripathi, A.N., Jain, A., (1989) Phys. Rev. A, 39, p. 1537. , 0556-2791Joshipura, K.N., Vinodkumar, M., Patel, U.M., (2001) J. Phys. B, 34, p. 509. , JPAPEH 0953-4075Yuan, J., Zhang, Z., (1992) Phys. Rev. A, 45, p. 4565. , PLRAAN 1050-2947Limbachiya, C., Vinodkumar, M., Mason, N., (2011) Phys. Rev. A, 83, p. 042708. , PLRAAN 1050-2947Maljković, J.B., Blanco, F., García, G., Milosavljević, A.R., (2012) Nucl. Instrum. Methods, Phys. Res. B, 279, p. 124. , NIMBEU 0168-583XHollis, J.M., Lovas, F.J., Remijian, A., Jewell, P.R., Ilushin, V., Kleiner, I., (2006) Astrophys. J. Lett., 643, p. L25. , AJLEEY 0004-637XBettega, M.H.F., (2010) Phys. Rev. A, 81, p. 062717. , PLRAAN 1050-2947Wang, Y.-F., Tian, S.X., (2012) Phys. Rev. A, 85, p. 012706. , PLRAAN 1050-2947Gupta, D., Naghma, R., Antony, B., (2014) Mol. Phys., 112, p. 1201. , MOPHAM 0026-8976Srivastava, S.K., Chutjian, A., Trajmar, S., (1975) J. Chem. Phys., 63, p. 2659. , JCPSA6 0021-9606Iga, I., Lee, M.T., Homem, M.G.P., Machado, L.E., Brescansin, L.M., (2000) Phys. Rev. A, 61, p. 022708. , PLRAAN 1050-2947Rawat, P., Iga, I., Lee, M.T., Brescansin, L.M., Homem, M.G.P., Machado, L.E., (2003) Phys. Rev. A, 68, p. 052711. , PLRAAN 1050-2947Iga, I., Sanches, I.P., Srivastava, S.K., Mangan, M., (2001) Int. J. Mass Spectrom., 208, p. 159. , IMSPF8 1387-3806Homem, M.G.P., Iga, I., Sugohara, R.T., Sanches, I.P., Lee, M.T., (2011) Rev. Sci. Instrum., 82, p. 013109Jansen, R.H.J., De Heer, F.J., Luyken, H.J., Van Wingerden, B., Blaauw, H.J., (1976) J. Phys. B, 9, p. 185. , JPAMA4 0022-3700Dubois, R.D., Rudd, M.E., (1976) J. Phys. B, 9, p. 2657. , JPAMA4 0022-3700Rawat, P., Homem, M.G.P., Sugohara, R.T., Sanches, I.P., Iga, I., De Souza, G.L.C., Dos Santos, A.S., Lee, M.-T., (2010) J. Phys. B, 43, p. 225202. , JPAPEH 0953-4075Ferraz, J.R., Dos Santos, A.S., De Souza, G.L.C., Zanelato, A.I., Alves, T.R.M., Lee, M.-T., Brescansin, L.M., Machado, L.E., (2013) Phys. Rev. A, 87, p. 032717. , PLRAAN 1050-2947Gianturco, F.A., Lucchese, R.R., Sanna, N., (1995) J. Chem. Phys., 102, p. 5743. , JCPSA6 0021-9606Edmonds, A.R., (1960) Angular Momentum and Quantum Mechanics, , (Princeton University Press, Princeton, NJ)Padial, N.T., Norcross, D.W., (1984) Phys. Rev. A, 29, p. 1742. , 0556-2791Lee, M.-T., Iga, I., Machado, L.E., Brescansin, L.M., Castro E A, Y., Sanches, I.P., De Souza, G.L.C., (2007) J. Electron Spectrosc. Relat. Phenom., 155, p. 14. , JESRAW 0368-2048Staszewska, G., Schwenke, D.W., Truhlar, D.G., (1984) Phys. Rev. A, 29, p. 3078. , 0556-2791Hara, S., (1967) J. Phys. Soc. Jpn., 22, p. 710. , JUPSAU 0031-9015Frisch, M.J., (2004) Gaussian 03, Revision C. 02, , (Gaussian Inc., Wallingford, CT)http://cccbdb.nist.govBurke, P.G., Chandra, N., Gianturco, F.A., (1972) J. Phys. B, 5, p. 2212. , JPAMA4 0022-3700Machado, L.E., Brescansin, L.M., Iga, I., Lee, M.-T., (2005) Eur. Phys. J. D, 33, p. 193. , EPJDF6 1434-6060Brescansin, L.M., Machado, L.E., Lee, M.-T., Cho, H., Park, Y.S., (2008) J. Phys. B, 41, p. 185201. , JPAPEH 0953-4075Itikawa, Y., (1974) At. Data Nucl. Data Tables, 14, p. 1Kim, Y.-K., Rudd, M.E., (1994) Phys. Rev. A, 50, p. 3954. , PLRAAN 1050-2947Schmidt, M.W., Baldridge, K.K., Boatz, J.A., Elbert, S.T., Gordon, M.S., Jensen, J.H., Koseki, S., Montgomery, J.A., (1993) J. Comput. Chem., 14, p. 1347. , JCCHDD 0192-8651Khakoo, M.A., Blumer, J., Keane, K., Campbell, C., Silva, H., Lopes, M.C.A., Winstead, C., Bettega, M.H.F., (2008) Phys. Rev. A, 77, p. 042705. , PLRAAN 1050-2947Goumans, T.P.M., Gianturco, F.A., Sebastianelli, F., Baccarelli, I., Rivail, J.L., (2009) J. Chem. Theory Comput., 5, p. 217. , 1549-9618Gallup, G.A., (2013) J. Chem. Phys., 139, p. 104308. , 0021-960

GWAS in Breast Cancer

Breast cancer is the most diagnosed cancer in women, and the second cause of cancer-related deaths among women worldwide. It is expected that more than 240,000 new cases and 40,450 deaths related to the disease will occur in 2016. It is well known that inherited genetic variants are drivers for breast cancer development. There are many mechanisms through which germline genetic variation affects prognosis, such as BRCA1 and BRCA2 genes, which account for approximately 20% of the increased hereditary risks. Therefore, it is evident that the genetic pathways that underlie cancer development are complex in which networks of multiple alleles confer disease susceptibility and risks. Global analyses through genome-wide association studies (GWAS) have revealed several loci across the genome are associated with the breast cancer. This chapter compiles all breast GWAS released since 2007, year of the first article published in this area, and discuss the future directions of this field. Currently, hundreds of genetic markers are linked to breast cancer, and understanding the underlying mechanisms of these variants might lead to the discover of biomarkers and targets for therapy in patients

Evaluation of turbulent dissipation rate retrievals from Doppler Cloud Radar

Turbulent dissipation rate retrievals from cloud radar Doppler velocity measurements are evaluated using independent, in situ observations in Arctic stratocumulus clouds. In situ validation data sets of dissipation rate are derived using sonic anemometer measurements from a tethered balloon and high frequency pressure variation observations from a research aircraft, both flown in proximity to stationary, ground-based radars. Modest biases are found among the data sets in particularly low- or high-turbulence regimes, but in general the radar-retrieved values correspond well with the in situ measurements. Root mean square differences are typically a factor of 4-6 relative to any given magnitude of dissipation rate. These differences are no larger than those found when comparing dissipation rates computed from tetheredballoon and meteorological tower-mounted sonic anemometer measurements made at spatial distances of a few hundred meters. Temporal lag analyses suggest that approximately half of the observed differences are due to spatial sampling considerations, such that the anticipated radar-based retrieval uncertainty is on the order of a factor of 2-3. Moreover, radar retrievals are clearly able to capture the vertical dissipation rate structure observed by the in situ sensors, while offering substantially more information on the time variability of turbulence profiles. Together these evaluations indicate that radar-based retrievals can, at a minimum, be used to determine the vertical structure of turbulence in Arctic stratocumulus clouds