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Figure 1 from: Todisco V, Nazari V, Cesaroni D, Sbordoni V (2017) Preliminary molecular phylogeny and biogeography of the monobasic subfamily Calinaginae (Lepidoptera, Nymphalidae). Zoosystematics and Evolution 93(2): 255-264. https://doi.org/10.3897/zse.93.10744
No full textFigure 1 -
(A) Approximate geographic distributions (Shirôzu 1960, Lang 2012) and sampling localities (circles) for the species of Calinaga included in this study (with the exception of the sample CBUD-INDIN for which we do not have an exact locality). Species as initially identified are highlighted and shown in different colours. Note that many of these initially attributed names subsequently proved erroneous. The map was obtained using Quantum GIS 2.8.2 based on a map from Natural Earth (www.naturalearthdata.com). (B) Median-Joining Network of mtDNA. Circle size proportional to haplotype frequency; number of nucleotide substitutions indicated along connections, except for single or double substitutions. In both figures the species are highlighted and shown in different colours as initially identified
The differential diagnosis of myotonic syndromes: A case report-guided and neurophysiologic approach
No full textMolecular phylogeography of Dolichopoda cave crickets (Orthoptera, Rhaphidophoridae): A scenario suggested by mitochondrial DNA
No full textThis study focuses on the phylogenetic relationships among a number of West-Mediterranean cave crickets species belonging to Dolichopoda; primarily a Mediterranean genus, distributed from eastern Pyrenees to Caucasus. In this paper, I I Dolichopoda species from the French Pyrenees (D. linderi), the island of Corsica (D. bormansi and D. cyrnensis), and northern, central, and southern Italy (D. ligustica, D. schiavazzii, D. aegilion, D. baccettii, D. laetitiae, D. geniculata, D. capreensis, and D. palpata) were studied. Two more species, one from the Caucasus, D. euxina, and one from Greece, D. remlyi, were also included in the analyses, together with more distant species within the same family to be used as outgroups. Fifteen hundred base pairs of mitochondrial DNA, corresponding to the small subunit of the ribosomal RNA (16S rRNA) and to the subunit I of the cytochrome oxidase I (COI), were sequenced in order to clarify the phylogenetic relationships and biogeography of this group of Mediterranean cave crickets. The molecular data are congruent with a phylogeographic pattern; with the geographically close species also the most related ones. Based on mtDNA divergence, the present-day distribution of genetic diversity seems to have been impacted by climatic events due to glacial and interglacial cycles that have characterized the Pleistocene era. (c) 2005 Elsevier Inc. All rights reserved
Patterns of geographical variation and phylogeography in Parnassius apollo: a preliminary analysis.
No full textParnassius apollo is a widely distibuted Eurasian butterfly usually represented by small local populations. It’s distributed on the main mountain ranges from the Sierra Nevada to Alps, Carpathians, Caucasus to the Altai. Being narrow in its ecological requirement this butterfly is very sensitive to habitat and climatic changes, and in most of its range it is experiencing range contraction and sometimes population extinction. We have sequenced 869 bp of the mithocondrial DNA cytochrome oxidase I (COI) for 69 populations (N=142) from several portions of the range. Analysis revealed 55 haplotypes genetically structured in two major haplogroups; the study populations from Spain, Italy , Peloponnesus, Urali, Kirghizistan, Kazakistan, China and Turkish Armenia are included in a haplogroup, those from Finland, Sweden, Slovakia, Bosnia, Albania, Greece and Anatolia are included in a second haplogroup. However, haplotypes from Spain are quite distinct from the rest of the first haplogroup. Compared to Parnassius mnemosyne, which shares a similar range with P. apollo, the last species appears less genetically structured and its evolutionary history and geographical dynamics more recently developed. Moreover, our results suggest a discordant dating in the periods of demographic range expansion of these two species, reflecting their different ecological requirement
Analysis of Co-Channel Coexistence Mitigation Methods Applied to IEEE 802.11p and 5G NR-V2X Sidelink
Full text linkDirect communication between vehicles and surrounding objects, called vehicle-to-everything (V2X), is ready for the market and promises to raise the level of safety and comfort while driving. To this aim, specific bands have been reserved in some countries worldwide and different wireless technologies have been developed; however, these are not interoperable. Recently, the issue of co-channel coexistence has been raised, leading the European Telecommunications Standards Institute (ETSI) to propose a number of solutions, called mitigation methods, for the coexistence of the IEEE 802.11p based ITS-G5 and the 3GPP fourth generation (4G) long term evolution (LTE)-V2X sidelink. In this work, several of the envisioned alternatives are investigated when adapted to the coexistence of the IEEE 802.11p with its enhancement IEEE 802.11bd and the latest 3GPP standards, i.e., the fifth generation (5G) new radio (NR)-V2X. The results, obtained through an open-source simulator that is shared with the research community for the evaluation of additional proposals, show that the methods called A and C, which require modifications to the standards, improve the transmission range of one or both systems without affecting the other, at least in low-density scenarios
Anti-MuSK ocular myasthenia with extrinsic ocular muscle atrophy: a new clinical phenotype?
No full textClinical-neurophysiological correlations in chronic inflammatory demyelinating polyradiculoneuropathy patients treated with subcutaneous immunoglobulin
No full textIntroduction: Despite the well-described clinical efficacy of long-term subcutaneous immunoglobulin (LT-SCIg) in chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) patients, the neurophysiological effects of SCIg have been followed only for a short time and were not correlated with clinical parameters. Methods: Fourteen CIDP patients were evaluated at baseline and after LT-SCIg administration for 24 to 48 months. Nerve conduction studies were performed and clinical features were assessed for: (a) overall strength, by Medical Research Council sum score; (b) sensory function, by Inflammatory Neuropathy Cause And Treatment score; (c) disability, by Rasch-built overall disability scale; (d) quality of life (QoL), by the EuroQol Visual Analog Scale. Results: LT-SCIg treatment improved clinical and neurophysiological features, preserving strength and improving sensory deficits, disability, and QoL. Clinical scores correlated with the amplitude of distal motor action (dCMAP) and sensory nerve action (SNAP) potentials. Discussion: LT-SCIg treatment demonstrates efficacy in maintaining and continuing clinical improvement at 24 to 48 months after start of treatment. dCMAP and SNAP amplitudes represent useful prognostic factors for functional outcome
A Modified genetic Algorithm for Time and Cost Optimization of an Additive Manufacturing Single-Machine Scheduling
No full textAdditive Manufacturing (AM) is a process of joining materials to make objects from 3D model
data, usually layer by layer, as opposed to subtractive manufacturing methodologies. Selective
Laser Melting, commercially known as Direct Metal Laser Sintering (DMLS®), is the most
diffused additive process in today’s manufacturing industry. Introduction of a DMLS® machine
in a production department has remarkable effects not only on industrial design but also on
production planning, for example, on machine scheduling. Scheduling for a traditional single
machine can employ consolidated models. Scheduling of an AM machine presents new issues
because it must consider the capability of producing different geometries, simultaneously. The
aim of this paper is to provide a mathematical model for an AM/SLM machine scheduling. The
complexity of the model is NP-HARD, so possible solutions must be found by metaheuristic
algorithms, e.g., Genetic Algorithms. Genetic Algorithms solve sequential optimization
problems by handling vectors; in the present paper, we must modify them to handle a matrix.
The effectiveness of the proposed algorithms will be tested on a test case formed by a 30 Part
Number production plan with a high variability in complexity, distinct due dates and low
production volume
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