197,258 research outputs found
ENTREVISTA INFORMADA “La identidad etnohistórica de las máscaras. Una conversación con Vincenzo M. Spera”
No full textProducción CientíficaRESUMEN: El profesor Vincenzo M. Spera es un importante demoantropólogo italiano con una amplia trayectoria en el estudio de antiguos ritos carnavalescos con máscara de algunas regiones del Mezzogiorno. Su autoridad en este campo, como en otros del amplio espectro cultural que ofrece la tradición —fiestas patronales, peregrinaciones, Semana Santa, etnomedicina, cultura pastoril, panificación, etc.—, queda ratificada con dos números monográficos editados en su honor en la revista Nuovo meridionalismo (Alaggio et alii 2016 y 2017) editada por la Università degli Studi del Molise al que se sumaron prestigiosos colegas como Luigi M. Lombardi Satriani, Ottavio Cavalcanti, Margueritta Satta, Mario Atzori, Jocelyne Bonnet-Carbonell, Manuel Mandianes, Enzo Vinicio Alliegro, Letizia Bindi, Kincső Verebélyi, etc. Algunos como Ferdinando Mirizzi (2017) reflexionaron acerca del Carnaval tradicional y el legado del profesor homenajeado en el conocimiento de estas fiestas de sustrato antiguo. Conversamos en esta entrevista con Vincenzo Spera sobre las formas de las máscaradas campesinas de Basilicata, Apulia y Molise en el pasado y su presente.
PALABRAS CLAVE: Vincenzo M. Spera, antropología italiana, Carnaval tradicional, máscara, folklorización.
ABSTRACT: Professor Vincenzo M. Spera is an important Italian demoanthropologist with a long career in the study of ancient masked carnival rites in some regions of the Mezzogiorno. His authority in this field, as in others of the wide cultural spectrum offered by tradition —patron saint festivals, pilgrimages, Holy Week, ethnomedicine, pastoral culture, cereal culture and bakery, etc.— is confirmed by two monographic issues published in his honour in the journal Nuovo meridionalismo (Alaggio et alii 2016 and 2017) published by the Università degli Studi del Molise, which was joined by prestigious colleagues such as Luigi M. Lombardi Satriani, Ottavio Cavalcanti, Margueritta Satta, Mario Atzori, Jocelyne Bonnet-Carbonell, Manuel Mandianes, Enzo Vinicio Alliegro, Letizia Bindi, Kincső Verebélyi, etc. Some, such as Ferdinando Mirizzi (2017), reflected on the traditional Carnival and the legacy of the honoured professor in the knowledge of these ancient festivities. In this interview with Vincenzo Spera, we talk about the forms of the peasant masquerades of Basilicata, Apulia and Molise in the past and present.
KEYWORDS: Vincenzo M. Spera, Italian anthropology, traditional carnival, mask, folklorisation.Este trabajo se ha realizado en el marco del proyecto de I+D titulado El corpus de la narrativa oral en la cuenca occidental del Mediterráneo: estudio comparativo y edición digital (referencia: PID2021-122438NB-I00), financiado por la Agencia Estatal de Investigación (AEI) y el Fondo Europeo de Desarrollo Regional (FEDER). David Mañero Lozano (Universidad de Jaén), IP
La identidad etnohistórica de las máscaras: Una conversación con Vincenzo M. Spera
No full textProfessor Vincenzo M. Spera is an admired Italian demoanthropologist with a long career in the study of ancient carnival rites with masks in some regions of the Mezzogiorno. His authority in this field, as in others of the broad cultural spectrum offered by tradition - patron saint festivals, pilgrimages, Easter, ethnomedicine, pastoral culture, baking, etc. - is ratified by two monographic issues published in his honour in the journal Nuovo meridionalismo published by the Università degli Studi del Molise in 2016 and 2018, which were joined by prestigious colleagues. In this interview we talk to him, focusing on the forms of the peasant masquerades of Basilicata, Apulia and Molise in the past and their symbolic representation in the present.El profesor Vincenzo M. Spera es un admirado demoantropólogo italiano con una amplia trayectoria en el estudio de antiguos ritos carnavalescos con máscara de algunas regiones del Mezzogiorno. Su autoridad en este campo, como en otros del amplio espectro cultural que ofrece la tradición —fiestas patronales, peregrinaciones, Semana Santa, etnomedicina, cultura pastoril, panificación, etc.—, queda ratificada con dos números monográficos editados en su honor en la revista Nuovo meridionalismo editada por la Università degli Studi del Molise en 2016 y 2018 al que se sumaron prestigiosos colegas. Conversamos en esta entrevista con él centrándonos en las formas de las máscaradas campesinas de Basilicata, Apulia y Molise en el pasado y su representación simbólica en el presente
A Clebsch portrait for Schrödinger’s theory
No full textIn this note we pursue the investigation initiated in Spera M (in: Nielsen, Barbaresco, (eds) Geometric Science of Information. GSI 2023. Lecture Notes in Computer Science, Springer, Cham, 2023) by addressing geometric and topological issues concerning the zero set of the wave function, provided it is a knot in 3-space. Since, the standard Madelung velocity breaks down thereat, it is necessary to resort to the Clebsch geometry of the probability current shown in the above paper. This leads to considering several tightly interknit symplectic manifolds
Large-Scale Mechanized Agricultural Crop Types across Mato Grosso, Goias, and Matopiba, Brazil
No full textModerate Resolution Imaging Spectroradiometer (MODIS) was used to map annual large-scale mechanized agriculture across Mato Grosso, Tocantins, Goiás, Maranhão, western Bahia, and southern Piauí. All MODIS (MOD13Q1) Enhanced Vegetation Index (EVI), day of year (DOY), and VI Quality 16‐day, 250 m resolution data composited between August 2002 and July 2017 were used.
A growing season is defined as beginning in August and ending in July: the data used to analyze the 2003 growing season span August 1, 2002–July 31, 2003. A published decision‐tree algorithm (Spera et al., 2014, Environmental Research Letters) was modified to incorporate crop cycles and calendars for the states of Tocantins, Goiás, Maranhão, western Bahia, and southern Piauí. The modified Spera et al. algorithm adds single‐cropped corn as a crop class, as it is common in Matopiba.
Crop rotations identified include: (i) single cropping (a single rotation of soy, corn, or cotton within one growing season); (ii) double cropping (a soy‐corn or soy‐cotton rotation within one growing season); and (iii) irrigated agriculture. This algorithm uses metrics that include growing season EVI standard deviation, minima and maxima; it derives green‐up and harvest dates to differentiate natural vegetation from croplands. Due to the 250 m spatial resolution of the data, we mapped only agricultural fields greater than 25 ha. Thus, these cropland estimates are likely relatively conservative.
The results of our algorithm were validated using 883 validation points collected across the Cerrado over the study period using the Landsat data repository within Google Earth Engine. Compositing false‐color Landsat 5 and 7 images (NIR Band 4 as red, SWIR1 Band 5 as green, red Band 3 as blue) from the growing season permitted visual identification and separation of corn, soy, cotton, pasture, and natural vegetation land covers. Across the study region, annual agriculture was distinguished from natural vegetation and pasture with 95% accuracy, and crop types were separated with 87% accuracy. Because pasture and sugarcane are difficult to separate using the phenological signal from a single growing season, we integrated previously published (spatially explicit) sugarcane data (Canasat: Rudorff et al., 2010) into our land‐cover maps.
A data key is published with the files
Large-Scale Mechanized Agricultural Crop Types across Mato Grosso, Goias, and Matopiba, Brazil
No full textModerate Resolution Imaging Spectroradiometer (MODIS) was used to map annual large-scale mechanized agriculture across Mato Grosso, Tocantins, Goiás, Maranhão, western Bahia, and southern Piauí. All MODIS (MOD13Q1) Enhanced Vegetation Index (EVI), day of year (DOY), and VI Quality 16‐day, 250 m resolution data composited between August 2002 and July 2017 were used.
A growing season is defined as beginning in August and ending in July: the data used to analyze the 2003 growing season span August 1, 2002–July 31, 2003. A published decision‐tree algorithm (Spera et al., 2014, Environmental Research Letters) was modified to incorporate crop cycles and calendars for the states of Tocantins, Goiás, Maranhão, western Bahia, and southern Piauí. The modified Spera et al. algorithm adds single‐cropped corn as a crop class, as it is common in Matopiba.
Crop rotations identified include: (i) single cropping (a single rotation of soy, corn, or cotton within one growing season); (ii) double cropping (a soy‐corn or soy‐cotton rotation within one growing season); and (iii) irrigated agriculture. This algorithm uses metrics that include growing season EVI standard deviation, minima and maxima; it derives green‐up and harvest dates to differentiate natural vegetation from croplands. Due to the 250 m spatial resolution of the data, we mapped only agricultural fields greater than 25 ha. Thus, these cropland estimates are likely relatively conservative.
The results of our algorithm were validated using 883 validation points collected across the Cerrado over the study period using the Landsat data repository within Google Earth Engine. Compositing false‐color Landsat 5 and 7 images (NIR Band 4 as red, SWIR1 Band 5 as green, red Band 3 as blue) from the growing season permitted visual identification and separation of corn, soy, cotton, pasture, and natural vegetation land covers. Across the study region, annual agriculture was distinguished from natural vegetation and pasture with 95% accuracy, and crop types were separated with 87% accuracy. Because pasture and sugarcane are difficult to separate using the phenological signal from a single growing season, we integrated previously published (spatially explicit) sugarcane data (Canasat: Rudorff et al., 2010) into our land‐cover maps.
A data key is published with the files
Epigrafi del sepolcreto esquilino dai Codici Bianchini della Biblioteca Capitolare di Verona
No full textVery massive stars, pair-instability supernovae and intermediate-mass black holes with the SEVN code
No full textUnderstanding the link between massive (≳30M⊙) stellar black holes (BHs) and their progenitor stars is a crucial step to interpret observations of gravitational-wave events. In this paper, we discuss the final fate of very massive stars (VMSs), with zero-age main sequence (ZAMS) mass > 150 M⊙, accounting for pulsational pair-instability supernovae (PPISNe) and for pair-instability supernovae (PISNe).We describe an updated version of our population synthesis code SEVN, in which we added stellar evolution tracks for VMSs with ZAMS mass up to 350M⊙ and we included analytical prescriptions for PPISNe and PISNe. We use the new version of SEVN to study the BH mass spectrum at different metallicity Z, ranging from Z = 2.0 × 10-4 to 2.0 × 10-2. The main effect of PPISNe and PISNe is to favour the formation of BHs in the mass range of the first gravitational-wave event (GW150914), while they prevent the formation of remnants with mass 60-120M⊙. In particular, we find that PPISNe significantly enhance mass-loss of metal-poor (Z ≤ 2.0 × 10-3) stars with ZAMS mass 60 = MZAMS/M⊙ ≤ 125. In contrast, PISNe become effective only for moderately metal-poor (Z < 8.0 × 10-3) VMSs. VMSs with mZAMS ≳ 220 M⊙ and Z < 10-3 do not undergo PISNe and form intermediate-mass BHs (with mass ≳200M⊙) via direct collapse
Geometry of Quantum Vortices and Link Invariants
No full textShort survey on a Chen integral approach to quantum vortex theor
Iterated Path Integral Realization of Quantum Vortex Currents: Construction of the Topological Invariants
No full textConstruction of the Milnor representation of a link via Chen integral
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