cornelia de lange syndrome (cdls) is an uncommon multiple congenital anomaly with unknown cause and recurrent risk and may be the result of an inheritance metabolic error. in classical form of the syndrome there is a recognizable facial appearance at birth although in children with mild disease this may be less obvious at birth but become more noticeable over the first three years of life. in t...

according to this reality that iron bulks because of having ferromagnetic minerals, they have high magnetic intensity, in mining explorations most usual geophysical method  suggested to explore these resources is magnetic method. basically in order to process and interpretation of magnetic anomaly maps several methods be used of which most of these methods are based on try and error. one of usu...

Satellite-derived evapotranspiration anomalies and normalized difference vegetation index (NDVI) products from Moderate Resolution Imaging Spectroradiometer (MODIS) data are currently used for African agricultural drought monitoring and food security status assessment. In this study, a process to evaluate satellite-derived evapotranspiration (ETa) products with a geospatial statistical explorat...

Truth based entailments are not sufficient for a good comprehension of NL. In fact, it can not deduce implicit information necessary to understand a text. On the other hand, norm based entailments are able to reach this goal. Let us consider this text [1][2]: ”the vehicle in front of me braked”. Using a truth based approach; we can obtain all the logical consequences of a formula such as: (∃v, ...

In this paper, we investigate the presence of Halloween effect in long-term reversal anomaly US. When examine cross-sectional returns winner-minus-loser portfolios formed on prior over time period 1931-2021, find evidence stronger during winter months versus summer months. particular, appears to be driven by very strong winter-summer seasonality portfolio small-capitalisation losers, and lack l...

Clustering is an extremely important task in a wide variety of application domains especially in management and social science research. In this paper, an iterative procedure of clustering method based on multivariate outlier detection was proposed by using the famous Mahalanobis distance. At first, Mahalanobis distance should be calculated for the entire sample, then using T -statistic fix a U...

ABSTRACT Dynamic networks, also called network streams, are an important data representation that applies to many real-world domains. Many sets of network data such as e-mail networks, social networks, or internet traffic networks are best represented by a dynamic network due to the temporal component of the data. One important application in the domain of dynamic network analysis is anomaly de...

Univariate estimates of poverty and inequality from income micro data are frequently plagued by multiple sources of survey error that affect both estimation and inference of parameters of interest. Observable forms of survey error include coarse data, processing error and measurement error. This paper builds on earlier work by Daniels (2012a, 2012b and 2012c) to include an explicit treatment of...

Large, time-evolving graphs can be directly and indirectly observed in a variety of phenomena across domains. Speci€cally, for following the evolution of communities over time, applications can range from tracking modules in protein-protein interaction networks [10] to groups in scienti€c co-authorship networks [3]. Other tasks may include anomaly detection and graph matching across graph snaps...