BUDDHIST STELE OF SWAT VALLEY: POINT CLOUD ANALYSIS AND INTERPRETATION

Abstract. With recent advancements on 3D sensors and cloud computing, high-speed, high-accuracy 3D measurement at micrometer level have been increase by scientists community and digital humanities researchers.The methodology proposed in this project aims to test some of the algorithms used in remote-sensing to the Buddhist sculptures from Swat Valley (Pakistan); these algorithms use high-resolution topographic data to identify, from DEMs, specific features like valleys, ridges, peaks, pits or surface anomalies.In the carved stone, the surface is analysed like a landscape, where carved areas are valleys bordered by slopes and crests. One of the simplest tools, the commonly used analytical hill-shading, which simulates artificial illumination on the DEM surface, is based on the same principle as the use of an oblique light source to highlight incisions in classic photography. Other families of algorithms that can be divided into three main groups (Slope and Curvature, Local Relief Model and Sky View Factor, Positive and Negative Openness and Geomorphons) are tested here

"OLD AND LOW-COST SENSOR" FOR MICROPHOTOGRAMMETRY. CASE STUDY: THE EMPEROR <i>MAXIMIANUS HERCULEUS</i>' MEDALLION AT THE CORRER MUSEUM (VENICE)

Abstract. The microphotogrammetric survey of the roman emperor Maximianus Herculeus' medallion, described in this report, demonstrated that, despite the use of an "old" and, nowadays, "low cost" camera sensor it is still possible to obtain a detailed 3D textured model useful for different scientific purposes and virtual enhancement. Here are presented the photogrammetric results reached with the selection of the best solutions in terms of number of images, in order to speed up the entire photogrammetric workflow and pursue the goals previously explained. This medallion is one of the most important examples of roman medallions which belongs to the numismatic collection stored at the Correr Museum in Venice. Its 3D survey was developed as a parallel step of a main project which aims to acquire in three-dimensions, with a structured light scanner, the complete roman collection of medallions. This digitization project proposes to record the volumetric information of these small archaeological remains and to realize an online virtual gallery in the web site of the museum (using 3DHOP, an open source web viewer developed by the Visual Computing Lab of the CNR-ISTI of Pisa). At the end of the microphotogrammetric workflow, a distance analysis was computed to highlight the differences between the meshes obtained with a photogrammetric approach and a structured light scanner

Implementing the Same Site Model in Occupational Therapy Fieldwork: Student and Fieldwork Educator Perspectives

The Same Site Model of fieldwork service delivery provides the opportunity for the occupational therapy student to complete their Level I and Level II fieldwork at the same site. Due to limited research on the Same Site Model, a survey study was conducted to explore fieldwork educator and student perceptions on using the model. A 10-question survey, with 8 Likert questions and 2 open ended questions was designed by 2 Academic Fieldwork Coordinators. A total of 116 surveys were completed by occupational therapy students (N=45) and fieldwork educators (N=71) on their preference of the Same Site Model, along with their perceptions of the student’s preparedness, communication skills and ability to interact with clients during their Level II fieldwork. Out of the 116 returned surveys, only 24 indicated having the opportunity to use the Same Site Model. The findings of this current study revealed a moderate positive correlation (r=0.407) at 0.01 level of significance (

Prospects for intermediate mass black hole binary searches with advanced gravitational-wave detectors

We estimated the sensitivity of the upcoming advanced, ground-based gravitational-wave observatories (the upgraded LIGO and Virgo and the KAGRA interferometers) to coalescing intermediate mass black hole binaries (IMBHB). We added waveforms modeling the gravitational radiation emitted by IMBHBs to detectors' simulated data and searched for the injected signals with the coherent WaveBurst algorithm. The tested binary's parameter space covers non-spinning IMBHBs with source-frame total masses between 50 and 1050 $\text{M}_{\odot}$ and mass ratios between $1/6$ and 1$\,$. We found that advanced detectors could be sensitive to these systems up to a range of a few Gpc. A theoretical model was adopted to estimate the expected observation rates, yielding up to a few tens of events per year. Thus, our results indicate that advanced detectors will have a reasonable chance to collect the first direct evidence for intermediate mass black holes and open a new, intriguing channel for probing the Universe over cosmological scales.Comment: 9 pages, 4 figures, corrected the name of one author (previously misspelled

Enhancing the significance of gravitational wave bursts through signal classification

The quest to observe gravitational waves challenges our ability to discriminate signals from detector noise. This issue is especially relevant for transient gravitational waves searches with a robust eyes wide open approach, the so called all- sky burst searches. Here we show how signal classification methods inspired by broad astrophysical characteristics can be implemented in all-sky burst searches preserving their generality. In our case study, we apply a multivariate analyses based on artificial neural networks to classify waves emitted in compact binary coalescences. We enhance by orders of magnitude the significance of signals belonging to this broad astrophysical class against the noise background. Alternatively, at a given level of mis-classification of noise events, we can detect about 1/4 more of the total signal population. We also show that a more general strategy of signal classification can actually be performed, by testing the ability of artificial neural networks in discriminating different signal classes. The possible impact on future observations by the LIGO-Virgo network of detectors is discussed by analysing recoloured noise from previous LIGO-Virgo data with coherent WaveBurst, one of the flagship pipelines dedicated to all-sky searches for transient gravitational waves

Global Stability of Discrete Population Models with Time Delays and Fluctuating Environment

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Assessment of the intrinsic vulnerability of agricultural land to water and nitrogen losses: case studies in Italy and Greece

Abstract. LOS indices (abbr. of Losses) can be used for the assessment of the intrinsic vulnerability of agricultural land to water and nitrogen losses through percolation and runoff. The indices were applied on the lowland region of Ferrara Province (FP) in Italy and the upland region of Sarigkiol Basin (SB) in Greece. The most vulnerable zones in FP were the coastal areas consisting of high permeability sandy dunes and the areas close to riverbanks and palaeochannels, and in SB were the areas characterized by high slopes and high permeability soils at high altitude and areas belonging to the upper part of the alluvial plain close to the boundaries between agricultural land and mountainous regions. The application of LOS indices highlighted the specific features of both lowland and upland regions that contribute to water and nitrogen losses and showed their ability for use as tools in designing environmental management plans

Analysis of gut microbiota in rheumatoid arthritis patients. Disease-related dysbiosis and modifications induced by etanercept

A certain number of studies were carried out to address the question of how dysbiosis could affect the onset and development of rheumatoid arthritis (RA), but little is known about the reciprocal influence between microbiota composition and immunosuppressive drugs, and how this interaction may have an impact on the clinical outcome. The aim of this study was to characterize the intestinal microbiota in a groups of RA patients treatment-naïve, under methotrexate, and/or etanercept (ETN). Correlations between the gut microbiota composition and validated immunological and clinical parameters of disease activity were also evaluated. In the current study, a 16S analysis was employed to explore the gut microbiota of 42 patients affected by RA and 10 healthy controls. Disease activity score on 28 joints (DAS-28), erythrocyte sedimentation rate, C-reactive protein, rheumatoid factor, anti-cyclic citrullinated peptides, and dietary and smoking habits were assessed. The composition of the gut microbiota in RA patients free of therapy is characterized by several abnormalities compared to healthy controls. Gut dysbiosis in RA patients is associated with different serological and clinical parameters; in particular, the phylum of Euryarchaeota was directly correlated to DAS and emerged as an independent risk factor. Patients under treatment with ETN present a partial restoration of a beneficial microbiota. The results of our study confirm that gut dysbiosis is a hallmark of the disease, and shows, for the first time, that the anti-tumor necrosis factor alpha (TNF-α) ETN is able to modify microbial communities, at least partially restoring a beneficial microbiota

Nutrition, physical activity, and other lifestyle factors in the prevention of cognitive decline and dementia

Multiple factors combined are currently recognized as contributors to cognitive decline. The main independent risk factor for cognitive impairment and dementia is advanced age followed by other determinants such as genetic, socioeconomic, and environmental factors, including nutrition and physical activity. In the next decades, a rise in dementia cases is expected due largely to the aging of the world population. There are no hitherto effective pharmaceutical therapies to treat age-associated cognitive impairment and dementia, which underscores the crucial role of prevention. A relationship among diet, physical activity, and other lifestyle factors with cognitive function has been intensively studied with mounting evidence supporting the role of these determinants in the development of cognitive decline and dementia, which is a chief cause of disability globally. Several dietary patterns, foods, and nutrients have been investigated in this regard, with some encouraging and other disappointing results. This review presents the current evidence for the effects of dietary patterns, dietary components, some supplements, physical activity, sleep patterns, and social engagement on the prevention or delay of the onset of age-related cognitive decline and dementia. © 2021 by the authors. Licensee MDPI, Basel, Switzerland