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Assessing the Impact of Wear on the Recordability of Linear Enamel Hypoplasia: A Quantitative Approach
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Objectives: This study proposes a standardized, empirically grounded framework for assessing the recordability of linear enamel hypoplasia (LEH) in archeological dental samples. Despite the frequent use of LEH as a skeletal stress indicator, there is no consensus on whether and how to account for dental wear in recording protocols. Materials and methods: We analyzed the permanent right teeth of 497 medieval and early modern individuals to assess how dental wear affects the visibility and diagnostic utility of hypoplastic defects across different crown regions. For a given tooth, we assessed if there is a region that tends to be (1) less (or more) recordable than others, (2) less (or more) frequently affected by LEH than others, and (3) less (or more) informative with respect to the presence or absence of LEH than others. Results: The occlusal third was significantly less recordable and rarely provides additional data beyond the middle and cervical thirds. Excluding the occlusal third has minimal effect on overall LEH prevalence, while omitting the middle or cervical thirds leads to marked underestimation. Discussion: These results highlight the importance of incorporating wear-based inclusion criteria into LEH recording protocols. We recommend including only teeth with dental wear affecting less than half of the crown. These findings support the development of standardized inclusion criteria based on crown wear to enhance the consistency and comparability of data on enamel hypoplastic defects across studies and populations.
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RBINS Staff Publications 2025
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Assessing the influences of bee’s (Hymnoptera: Apidae) floral preference on cashew (Anacardiacae) agronomics performances in Côte d’Ivoire.
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This study aimed to assess the influence of bees’ floral preference on cashew agronomics performances in Côte d’Ivoire. Therefore, a sampling design with a total of 40 cashew trees preferred by bees and 40 trees that were not preferred by bees was established in 4 main producing regions. In addition, bees’ foragers and agronomics performances of trees were sampled. As results, a total of 46 bee’ species with a foraging activity of 4±0.32 visits per minute were observed. Apis mellifera (60% of visits, with 2.27±0.17 of visitors per minute) followed by Meliponula bocandei (23% of visits with 0.91±0.18 of visits per minute) contributes significantly to the reproduction of cashew trees, compare to the 44 other bees’ species (17% of visits; with an activity of 0.69±0.03 of visitors per minute). The preferred trees recorded 40.54±0.57 kg of nuts per tree, with 18.39±0.48 fruits per inflorescence, including 37.12±0.4% of useful kernel per raw nut (yield ratio of 65.45±0.66 pound of useful kernel). Conversely, the non-preferred trees obtained 5.24±0.44kg of nuts per tree, with 1.7±0.21 fruits per inflorescence, including 28.69±0.65% of useful kernel per raw nut (50.6±1.15 pound of useful kernel). Hence, the foraging preference of these two Apidae significantly increased the fruiting rate (83.7±0.01%), the yields (87.08±0.0%), and the kernel rate (22.68±1.76%) in raw cashew nuts. Based in these results, we suggest the foraging preference of Apis mellifera as good indicator of high-yielding cashew plants. Moreover, we suggests combination of apicultural and meliponicultrual in cashew farming to boost the yields and farmers livelihoods.
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RBINS Staff Publications 2022
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Assessing uncertainty associated with the monitoring and evaluation of spatially managed areas
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RBINS Staff Publications
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Assessing uncertainty associated with the monitoring and evaluation of spatially managed areas.
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RBINS Staff Publications
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Assessing Vertical Elevation Changes of Coastal Areas in Southern Chile to Improve The Understanding of Their Paleotsunami Sedimentary Records
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RBINS Staff Publications 2017
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Assessment of exploited fish species in the Lake Edward System, East Africa
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RBINS Staff Publications 2021
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Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry
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Hyperspectral remote sensing reflectance (Rrs) derived from PRISMA in the visible and infrared range was evaluated for two inland and coastal water sites using above-water in situ reflectance measurements from autonomous hyper- and multispectral radiometer systems. We compared the Level 2D (L2D) surface reflectance, a standard product distributed by the Italian Space Agency (ASI), as well as outputs from ACOLITE/DSF, now adapted for processing of PRISMA imagery. Near-coincident Sentinel-3 OLCI (S3/OLCI) observations were also compared as it is a frequent data source for inland and coastal water remote sensing applications, with a strong calibration and validation record. In situ measurements from two optically diverse sites in Italy, equipped with fixed autonomous hyperspectral radiometer systems, were used: the REmote Sensing for Trasimeno lake Observatory (RESTO), positioned in a shallow and turbid lake in Central Italy, and the Acqua Alta Oceanographic Tower (AAOT), located 15 km offshore from the lagoon of Venice in the Adriatic Sea, which is characterised by clear to moderately turbid waters. 20 PRISMA images were available for the match-up analysis across both sites. Good performance of L2D was found for RESTO, with the lowest relative (Mean Absolute Percentage Difference, MAPD 25\%) and absolute errors (Bias 0.002) in the bands between 500 and 680 nm, with similar performance for ACOLITE. The lowest median and interquartile ranges of spectral angle (SA 8°) denoted a more similar shape to the RESTO in situ data, indicating pigment absorption retrievals should be possible. ACOLITE showed better statistical performance at AAOT compared to L2D, providing R2 0.5, Bias 0.0015 and MAPD 35\%, in the range between 470 and 580 nm, i.e. in the spectral range with highest reflectances. The addition of a SWIR based sun-glint correction to the default atmospheric correction implemented in ACOLITE further improved performance at AAOT, with lower uncertainties and closer spectral similarity to the in situ measurements, suggesting that ACOLITE with glint correction was able to best reproduce the spectral shape of in situ data at AAOT. We found good results for PRISMA Rrs retrieval in our study sites, and hence demonstrated the use of PRISMA for aquatic ecosystem mapping. Further studies are needed to analyse performance in other water bodies, over a wider range of optical properties.
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RBINS Staff Publications 2022
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Assessment of soil metal distribution and environmental impact of mining in Katanga (Democratic Republic of Congo).
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RBINS Staff Publications 2016
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Assessment of the Effect of International Maritime Regulations on Air Quality in the Southern North Sea.
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RBINS Staff Publications 2023
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Assimilation de données dans un modèle d'écosystème marin de la mer Ligure.
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The objective is to explore the potentialities of sequential statistical estimation methods to assimilate observations in a primary production biological model coupled to a vertical 1D hydrodynamical model characterised by a k–l turbulent closure. The assimilation method is derived from the SEEK filter (Singular Evolutive Extended Kalman filter), which uses an error subspace represented by multivariate empirical orthogonal functions (EOFs). Real data assimilation experiments collected at sea have been realised to reconstruct the variability of the Ligurian Sea ecosystem during the FRONTAL field experiment.
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