Highlights on beauty detection in nucleus-nucleus collisions with ALICE

We describe a strategy for the detection of open beauty in the semi-electronic channel with ALICE evaluating the expected S/(S+B) ratio.Comment: 3 pages, 2 figures, published in "Proceedings of the 5th international conference 'Quark confinement and hadron spectrum'" (Gargnano, Brescia, Italy, 10-14 Sep 2002), August 2003, World Scientifi

The Palaearctic species of Pristaulacus Kieffer, 1900 (Hymenoptera, Aulacidae) : remarks on taxonomy, systematic, and biogeography

Taxonomic, systematic, and biogeography knowledge on the Palaearctic species of Pristaulacus Kieffer 1900 is summarized. Twenty-one valid species are recognized. The most important morphological characters taken into consideration are: shape, cuticular sculpture, and pubescence of head; index length/width of antennomeres; shape, sculpture and cuticular processes of mesosoma, especially of pronotum and mesonotum; number and shape of teeth on claw; shape and sculpture of metasoma; ovipositor length compared with wing and antenna length; and colour pattern (e.g., the dark spots on fore wing, and the colour of hind tarsus). Several characters of the genital capsule of the male were proved to be very useful for species identification, e.g., the shape of the paramere, volsella, cuspis, and digitus. Based on analysis of twenty-five morphological characters, eight species groups are recognized. The critical revision of the chorological data, including many new records, introduced relevant changes of the geographical distribution pattern of most species. Twelve species are restricted to the western part of the Palaearctic Region and eight species are restricted to its eastern part; only one species, P. gibbator, has a wider distribution, including both western and eastern parts of the Palaearctics

Beyond original Research Articles Categorization via NLP

This work proposes a novel approach to text categorization -- for unknown categories -- in the context of scientific literature, using Natural Language Processing techniques. The study leverages the power of pre-trained language models, specifically SciBERT, to extract meaningful representations of abstracts from the ArXiv dataset. Text categorization is performed using the K-Means algorithm, and the optimal number of clusters is determined based on the Silhouette score. The results demonstrate that the proposed approach captures subject information more effectively than the traditional arXiv labeling system, leading to improved text categorization. The approach offers potential for better navigation and recommendation systems in the rapidly growing landscape of scientific research literature.Comment: Workshop on Human-in-the-Loop Applied Machine Learning (HITLAML), 202

Review of Aulacidae from Greece and Cyprus with new records

Στη μελέτη αυτή έγινε επισκόπηση των ειδών της οικογένειας Aulacidae (Hymenoptera: Evanioidea) της Ελλάδας και της Κύπρου. Σημειώθηκαν επτά είδη που όλα ανήκουν στο γένος Pristaulacus Kieffer, 1900. Δύο από αυτά, τα P. chlapowskii Kieffer, 1900 and P. compressus (Spinola, 1808) αναφέρονται για πρώτη φορά στην Ελλάδα. Το Pristaulacus mourguesi Maneval, 1935, που είχε αναφερθεί μόνο από μια περιοχή, στην παρούσα μελέτη καταγράφηκε και στο Ανατολικό Αιγαίο (Νήσος Ικαρία) και σε περιοχές της ηπειρωτικής χώρας. Το Pristaulacus galitae (Gribodo, 1879) αναφέρεται για πρώτη φορά στη Λέσβο και στην Κύπρο. Γίνεται σύντομη αναφορά στην περιγραφή και στην εξάπλωση των ειδών αυτών και αναφέρονται οι ξενιστές τους.The Aulacidae (Hymenoptera: Evanioidea) from Greece and Cyprus are reviewed. Seven species are recorded, all comprised within the genus Pristaulacus Kieffer, 1900. Two of them, P. chlapowskii Kieffer, 1900 and P. compressus (Spinola, 1808) are reported for the first time from Greece; P. mourguesi Maneval, 1935, previously known from only one locality of northern Greece, is recorded for the first time from the Eastern Aegean islands (Ikaria) and other localities from the Greek mainland are reported; P. galitae (Gribodo, 1879) is recorded for the first time from Lesvos island (Eastern Aegean islands) and Cyprus. Brief references for identification and essential data on the treated species are provided

Recall Those Thrilling Days of Yesteryear …

This editorial explores Burris's examination, in this issue, of combined modality anticancer treatment and radiation recall

First record of the wasp family Aulacidae (Hymenoptera) from Malta

The occurrence of the parasitoid wasp Pristaulacus galitae (Gribodo, 1879) in Malta is reported for the first time based on a female from Buskett Garden reared from wood of Pistacia lentiscus L. together with five potential hosts: the xylophagous beetles Trichoferus fasciculatus fasciculatus (Faldermann, 1837), Niphona picticornis Mulsant, 1839, Penichroa fasciata (Stephens, 1831) (Cerambycidae), Anthaxia (Haplanthaxia) scylla Levey, 1985 (Buprestidae), and Opilo domesticus (Sturm, 1837) (Cleridae). This is the first species of the evaniomorphan family Aulacidae recorded in the Maltese Islands.peer-reviewe

Impact of reverse logistics on supply chain performance

Purpose The purpose of this paper is to analyse the impact of reverse logistics on order and inventory variance amplification in a single-echelon supply chain and to propose a new order policy for dampening such amplification. Design/Methodology/Approach A general review of the literature on sustainable operations and on the impact of reverse logistics on SC performance provides the foundation for the study. We use difference equation math approach for modelling and analysing a closed supply chain. A proper design of experiment and data collected from the European Union statistics validate the obtained numerical results. Findings The variability of reverse flow in a closed loop supply chain increases the serviceable inventory variance. However, a proper design of the reverse flow considerably improves the global performance. To this purpose, we propose a new order policy, namely R-APIOBPCS, which explicitly considers the reverse flow of products. Research limitations/Implications The paper presents a math model describing a closed loop supply chain. No empirical analysis is provided. Future researches should evaluate the impact of the proposed R-APIOBPCS on more realistic closed loop supply chain models. Practical implications Our findings may motivate logistics and supply chain managers to implement CLSC when supported by innovative, suitable tools for the proper management of the information and material flow in the chain. Managers should be well acquainted that, by doing so, they not only satisfy National and International legislations but also achieve improvements in logistics performance. Originality/Value We propose a novel replenishment rule that accurately coordinates the upstream and downstream flows in a SC. The proposed order policy can be reasonably considered one of the advocated managerial tools for the proper management of reverse logistics: it allows reducing inventory and limiting the variability of the orders placed to suppliers in supply chain with reverse logistics

The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection

Machine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical practice, adherence to best practices regarding data handling, experimental design, and model evaluation is crucial. This work summarizes and strictly observes such practices to ensure reproducible and reliable ML. Specifically, we focus on Alzheimer's Disease (AD) detection, which serves as a paradigmatic example of challenging problem in healthcare. We investigate the impact of different data augmentation techniques and model complexity on the overall performance. We consider MRI data from ADNI dataset to address a classification problem employing 3D Convolutional Neural Network (CNN). The experiments are designed to compensate for data scarcity and initial random parameters by utilizing cross-validation and multiple training trials. Within this framework, we train 15 predictive models, considering three different data augmentation strategies and five distinct 3D CNN architectures, each varying in the number of convolutional layers. Specifically, the augmentation strategies are based on affine transformations, such as zoom, shift, and rotation, applied concurrently or separately. The combined effect of data augmentation and model complexity leads to a variation in prediction performance up to 10% of accuracy. When affine transformation are applied separately, the model is more accurate, independently from the adopted architecture. For all strategies, the model accuracy followed a concave behavior at increasing number of convolutional layers, peaking at an intermediate value of layers. The best model (8 CL, (B)) is the most stable across cross-validation folds and training trials, reaching excellent performance both on the testing set and on an external test set

Measuring beauty production in Pb-Pb collisions at the LHC via single electrons in ALICE

We present the expected ALICE performance for the measurement of the p_t-differential cross section of electrons from beauty decays in central Pb-Pb collisions at the LHC.Comment: 4 pages, 2 figures, proceeding of poster presentation at "Quark Matter 2005