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Thought experiments like Maxwell's Demon or the Smoluchowski-Feynman Ratchet can help in pursuing the microscopic origin of the Second Law of Thermodynamics. Here we present a more sophisticated mechanical system than a ratchet, consisting of a Hamiltonian (non-Brownian) active particle which can harvest energy from an environment which may be in thermal equilibrium at a single temperature. We show that while a phenomenological description would seem to allow the system to operate as a Perpetual Motion Machine of the Second Kind, a full mechanical analysis confirms that this is impossible, and that perpetual energy harvesting within a mechanical system can only occur if the environment has an energetic population inversion similar to a lasing medium.
In the age of ever increasing data, faster and more efficient data processing algorithms are needed. Graphics Processing Units (GPU) are emerging as a cost-effective alternative architecture for high-end computing. The optimal design of GPU algorithms is a challenging task which requires thorough understanding of the high performance computing architecture as well as the algorithmic design. The steep learning curve needed for effective GPU-centric algorithm design and implementation requires considerable expertise, time, and resources. In this paper, we present GPU-DAEMON, a GPU Data Management, Algorithm Design and Optimization technique suitable for processing array based big omics data. Our proposed GPU algorithm design template outlines and provides generic methods to tackle critical bottlenecks which can be followed to implement high performance, scalable GPU algorithms for given big data problem. We study the capability of GPU-DAEMON by reviewing the implementation of GPU-DAEMON based algorithms for three different big data problems. Speed up of as large as 386x (over the sequential version) and 50x (over naive GPU design methods) are observed using the proposed GPU-DAEMON. GPU-DAEMON template is available at https://github.com/pcdslab/GPU-DAEMON and the source codes for GPU-ArraySort, G-MSR and GPU-PCC are available at https://github.com/pcdslab.
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Maxwell's daemon is a popular personification of a principle connecting information gain and extractable work in thermodynamics. A Szilard Engine is a particular hypothetical realization of Maxwell's daemon, which is able to extract work from a single thermal reservoir by measuring the position of particle(s) within the system. Here we investigate the role of particle statistics in the whole process; namely, how the extractable work changes if instead of classical particles fermions or bosons are used as the working medium. We give a unifying argument for the optimal work in the different cases: the extractable work is determined solely by the information gain of the initial measurement, as measured by the mutual information, regardless of the number and type of particles which constitute the working substance.
Time-reversal invariance can be exploited in wave physics to control wave propagation in complex media. Because time and space play a similar role in wave propagation, time-reversed waves can be obtained by manipulating spatial boundaries or by manipulating time boundaries. The two dual approaches will be discussed in this paper. The first approach uses 'time-reversal mirrors' with a wave manipulation along a spatial boundary sampled by a finite number of antennas. Related to this method, the role of the spatio-temporal degrees of freedom of the wavefield will be emphasized. In a second approach, waves are manipulated from a time boundary and we show that 'instantaneous time mirrors', mimicking the Loschmidt point of view, simultaneously acting in the entire space at once can also radiate time-reversed waves.
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Achatina fulica is a terrestrial snail native to the African continent but currently found in many countries worldwide. It is considered an urban and agricultural pest, causing significant economic losses. Therefore, substances extracted from plants have demonstrated effective results in pest control, such as thymol, a compound obtained from the essential oils of Lamiaceae plants. It is used in oral microbicide products, acting both as a bactericide and fungicide. This work aimed to evaluate the molluscicidal activity of thymol on adults and 30-day-old juveniles of A. fulica in bioassays. Nine hundred sixty adults and 960 juvenile snails. Thirty concentrations, between 80 and 0.01gL-1, were tested. Thymol acted as a molluscicide on A. fulica adults and juveniles at concentrations of 80 to 30gL-1 causing 100% mortality. No deaths were recorded for the control group. These results contribute to the control of this gastropod in highly infested areas, including in association with other control techniques. This is a difficult pest to control and even at present there is no effective control pest.
The aim of this historical review is to present the beliefs of the ancient Greeks related to lyssa and how the mythology surrounding this disease was created. In Greek antiquity Lyssa was a secondary goddess, a personification of a zoonotic disease which could be transmitted after an animal bite. Also named hydrophobia, the illness lyssa presented with an acute loss of mental stability, offensive frenzy and madness, and fear of water in the patient, who was seen to be possessed by a daemon as a divine punishment. In the Trojan War, lyssa was seen as a drug to Greek warriors, to demonstrate unreal power during battle. Homer was the first to refer to the hound of Orion, who was the greatest ancient Greek hunter. The hound, named Sirius, as a carrier of lyssa, was used as a bio-weapon to inflict death among the Trojans. Soranus of Ephesus and Galen gave descriptions of the disease, and proposed a sponge soaked with various herbal drugs as a therapeutic measure. The Greco-Roman physician Caelius Aurelianus noted that ancient Greeks knew about lyssa, and was the first to suggest that this was a neuro-disease. Lyssa was a figure in Greek Tragedy, depicted as a young female with a dog-like crown, related to Erinyes and Maniae. CONCLUSION: Lyssa was noted as a disease in Hellenic literature more than 2500 years ago. It was used as a bio-weapon to inflict madness. This vignette reveals Lyssa within a historical framework for the reader to understand the disease's origins.
More than 4700 nominal family-group names (including names for fossils and ichnotaxa) are nomenclaturally available in the order Coleoptera. Since each family-group name is based on the concept of its type genus, we argue that the stability of names used for the classification of beetles depends on accurate nomenclatural data for each type genus. Following a review of taxonomic literature, with a focus on works that potentially contain type species designations, we provide a synthesis of nomenclatural data associated with the type genus of each nomenclaturally available family-group name in Coleoptera. For each type genus the author(s), year of publication, and page number are given as well as its current status (i.e., whether treated as valid or not) and current classification. Information about the type species of each type genus and the type species fixation (i.e., fixed originally or subsequently, and if subsequently, by whom) is also given. The original spelling of the family-group name that is based on each type genus is included, with its author(s), year, and stem. We append a list of nomenclaturally available family-group names presented in a classification scheme. Because of the importance of the Principle of Priority in zoological nomenclature, we provide information on the date of publication of the references cited in this work, when known. Several nomenclatural issues emerged during the course of this work. We therefore appeal to the community of coleopterists to submit applications to the International Commission on Zoological Nomenclature (henceforth "Commission") in order to permanently resolve some of the problems outlined here. The following changes of authorship for type genera are implemented here (these changes do not affect the concept of each type genus): CHRYSOMELIDAE: Fulcidax Crotch, 1870 (previously credited to "Clavareau, 1913"); CICINDELIDAE: Euprosopus W.S. MacLeay, 1825 (previously credited to "Dejean, 1825"); COCCINELLIDAE: Alesia Reiche, 1848 (previously credited to "Mulsant, 1850"); CURCULIONIDAE: Arachnopus Boisduval, 1835 (previously credited to "Guérin-Méneville, 1838"); ELATERIDAE: Thylacosternus Gemminger, 1869 (previously credited to "Bonvouloir, 1871"); EUCNEMIDAE: Arrhipis Gemminger, 1869 (previously credited to "Bonvouloir, 1871"), Mesogenus Gemminger, 1869 (previously credited to "Bonvouloir, 1871"); LUCANIDAE: Sinodendron Hellwig, 1791 (previously credited to "Hellwig, 1792"); PASSALIDAE: Neleides Harold, 1868 (previously credited to "Kaup, 1869"), Neleus Harold, 1868 (previously credited to "Kaup, 1869"), Pertinax Harold, 1868 (previously credited to "Kaup, 1869"), Petrejus Harold, 1868 (previously credited to "Kaup, 1869"), Undulifer Harold, 1868 (previously credited to "Kaup, 1869"), Vatinius Harold, 1868 (previously credited to "Kaup, 1869"); PTINIDAE: Mezium Leach, 1819 (previously credited to "Curtis, 1828"); PYROCHROIDAE: Agnathus Germar, 1818 (previously credited to "Germar, 1825"); SCARABAEIDAE: Eucranium Dejean, 1833 (previously "Brullé, 1838"). The following changes of type species were implemented following the discovery of older type species fixations (these changes do not pose a threat to nomenclatural stability): BOLBOCERATIDAE: Bolbocerusbocchus Erichson, 1841 for Bolbelasmus Boucomont, 1911 (previously Bolbocerasgallicum Mulsant, 1842); BUPRESTIDAE: Stigmoderaguerinii Hope, 1843 for Neocuris Saunders, 1868 (previously Anthaxiafortnumi Hope, 1846), Stigmoderaperoni Laporte & Gory, 1837 for Curis Laporte & Gory, 1837 (previously Buprestiscaloptera Boisduval, 1835); CARABIDAE: Carabuselatus Fabricius, 1801 for Molops Bonelli, 1810 (previously Carabusterricola Herbst, 1784 sensu Fabricius, 1792); CERAMBYCIDAE: Prionuspalmatus Fabricius, 1792 for Macrotoma Audinet-Serville, 1832 (previously Prionusserripes Fabricius, 1781); CHRYSOMELIDAE: Donaciaequiseti Fabricius, 1798 for Haemonia Dejean, 1821 (previously Donaciazosterae Fabricius, 1801), Eumolpusruber Latreille, 1807 for Euryope Dalman, 1824 (previously Cryptocephalusrubrifrons Fabricius, 1787), Galerucaaffinis Paykull, 1799 for Psylliodes Latreille, 1829 (previously Chrysomelachrysocephala Linnaeus, 1758); COCCINELLIDAE: Dermestesrufus Herbst, 1783 for Coccidula Kugelann, 1798 (previously Chrysomelascutellata Herbst, 1783); CRYPTOPHAGIDAE: Ipscaricis G.-A. Olivier, 1790 for Telmatophilus Heer, 1841 (previously Cryptophagustyphae Fallén, 1802), Silphaevanescens Marsham, 1802 for Atomaria Stephens, 1829 (previously Dermestesnigripennis Paykull, 1798); CURCULIONIDAE: Bostrichuscinereus Herbst, 1794 for Crypturgus Erichson, 1836 (previously Bostrichuspusillus Gyllenhal, 1813); DERMESTIDAE: Dermestestrifasciatus Fabricius, 1787 for Attagenus Latreille, 1802 (previously Dermestespellio Linnaeus, 1758); ELATERIDAE: Elatersulcatus Fabricius, 1777 for Chalcolepidius Eschscholtz, 1829 (previously Chalcolepidiuszonatus Eschscholtz, 1829); ENDOMYCHIDAE: Endomychusrufitarsis Chevrolat, 1835 for Epipocus Chevrolat, 1836 (previously Endomychustibialis Guérin-Méneville, 1834); EROTYLIDAE: Ipshumeralis Fabricius, 1787 for Dacne Latreille, 1797 (previously Dermestesbipustulatus Thunberg, 1781); EUCNEMIDAE: Fornaxaustrocaledonicus Perroud & Montrouzier, 1865 for Mesogenus Gemminger, 1869 (previously Mesogenusmellyi Bonvouloir, 1871); GLAPHYRIDAE: Melolonthaserratulae Fabricius, 1792 for Glaphyrus Latreille, 1802 (previously Scarabaeusmaurus Linnaeus, 1758); HISTERIDAE: Histerstriatus Forster, 1771 for Onthophilus Leach, 1817 (previously Histersulcatus Moll, 1784); LAMPYRIDAE: Ototretafornicata E. Olivier, 1900 for Ototreta E. Olivier, 1900 (previously Ototretaweyersi E. Olivier, 1900); LUCANIDAE: Lucanuscancroides Fabricius, 1787 for Lissotes Westwood, 1855 (previously Lissotesmenalcas Westwood, 1855); MELANDRYIDAE: Nothusclavipes G.-A. Olivier, 1812 for Nothus G.-A. Olivier, 1812 (previously Nothuspraeustus G.-A. Olivier, 1812); MELYRIDAE: Lagriaater Fabricius, 1787 for Enicopus Stephens, 1830 (previously Dermesteshirtus Linnaeus, 1767); NITIDULIDAE: Sphaeridiumluteum Fabricius, 1787 for Cychramus Kugelann, 1794 (previously Strongylusquadripunctatus Herbst, 1792); OEDEMERIDAE: Helopslaevis Fabricius, 1787 for Ditylus Fischer, 1817 (previously Ditylushelopioides Fischer, 1817 [sic]); PHALACRIDAE: Sphaeridiumaeneum Fabricius, 1792 for Olibrus Erichson, 1845 (previously Sphaeridiumbicolor Fabricius, 1792); RHIPICERIDAE: Sandalusniger Knoch, 1801 for Sandalus Knoch, 1801 (previously Sandaluspetrophya Knoch, 1801); SCARABAEIDAE: Cetoniaclathrata G.-A. Olivier, 1792 for Inca Lepeletier & Audinet-Serville, 1828 (previously Cetoniaynca Weber, 1801); Gnathoceravitticollis W. Kirby, 1825 for Gnathocera W. Kirby, 1825 (previously Gnathoceraimmaculata W. Kirby, 1825); Melolonthavillosula Illiger, 1803 for Chasmatopterus Dejean, 1821 (previously Melolonthahirtula Illiger, 1803); STAPHYLINIDAE: Staphylinuspolitus Linnaeus, 1758 for Philonthus Stephens, 1829 (previously Staphylinussplendens Fabricius, 1792); ZOPHERIDAE: Hispamutica Linnaeus, 1767 for Orthocerus Latreille, 1797 (previously Tenebriohirticornis DeGeer, 1775). The discovery of type species fixations that are older than those currently accepted pose a threat to nomenclatural stability (an application to the Commission is necessary to address each problem): CANTHARIDAE: Malthinus Latreille, 1805, Malthodes Kiesenwetter, 1852; CARABIDAE: Bradycellus Erichson, 1837, Chlaenius Bonelli, 1810, Harpalus Latreille, 1802, Lebia Latreille, 1802, Pheropsophus Solier, 1834, Trechus Clairville, 1806; CERAMBYCIDAE: Callichroma Latreille, 1816, Callidium Fabricius, 1775, Cerasphorus Audinet-Serville, 1834, Dorcadion Dalman, 1817, Leptura Linnaeus, 1758, Mesosa Latreille, 1829, Plectromerus Haldeman, 1847; CHRYSOMELIDAE: Amblycerus Thunberg, 1815, Chaetocnema Stephens, 1831, Chlamys Knoch, 1801, Monomacra Chevrolat, 1836, Phratora Chevrolat, 1836, Stylosomus Suffrian, 1847; COLONIDAE: Colon Herbst, 1797; CURCULIONIDAE: Cryphalus Erichson, 1836, Lepyrus Germar, 1817; ELATERIDAE: Adelocera Latreille, 1829, Beliophorus Eschscholtz, 1829; ENDOMYCHIDAE: Amphisternus Germar, 1843, Dapsa Latreille, 1829; GLAPHYRIDAE: Anthypna Eschscholtz, 1818; HISTERIDAE: Hololepta Paykull, 1811, Trypanaeus Eschscholtz, 1829; LEIODIDAE: Anisotoma Panzer, 1796, Camiarus Sharp, 1878, Choleva Latreille, 1797; LYCIDAE: Calopteron Laporte, 1838, Dictyoptera Latreille, 1829; MELOIDAE: Epicauta Dejean, 1834; NITIDULIDAE: Strongylus Herbst, 1792; SCARABAEIDAE: Anisoplia Schönherr, 1817, Anticheira Eschscholtz, 1818, Cyclocephala Dejean, 1821, Glycyphana Burmeister, 1842, Omaloplia Schönherr, 1817, Oniticellus Dejean, 1821, Parachilia Burmeister, 1842, Xylotrupes Hope, 1837; STAPHYLINIDAE: Batrisus Aubé, 1833, Phloeonomus Heer, 1840, Silpha Linnaeus, 1758; TENEBRIONIDAE: Bolitophagus Illiger, 1798, Mycetochara Guérin-Méneville, 1827. Type species are fixed for the following nominal genera: ANTHRIBIDAE: Decataphanesgracilis Labram & Imhoff, 1840 for Decataphanes Labram & Imhoff, 1840; CARABIDAE: Feroniaerratica Dejean, 1828 for Loxandrus J.L. LeConte, 1853; CERAMBYCIDAE: Tmesisternusoblongus Boisduval, 1835 for Icthyosoma Boisduval, 1835; CHRYSOMELIDAE: Brachydactylaannulipes Pic, 1913 for Pseudocrioceris Pic, 1916, Cassidaviridis Linnaeus, 1758 for Evaspistes Gistel, 1856, Ocnosceliscyanoptera Erichson, 1847 for Ocnoscelis Erichson, 1847, Promecothecapetelii Guérin-Méneville, 1840 for Promecotheca Guérin- Méneville, 1840; CLERIDAE: Attelabusmollis Linnaeus, 1758 for Dendroplanetes Gistel, 1856; CORYLOPHIDAE: Corylophusmarginicollis J.L. LeConte, 1852 for Corylophodes A. Matthews, 1885; CURCULIONIDAE: Hoplorhinusmelanocephalus Chevrolat, 1878 for Hoplorhinus Chevrolat, 1878; Sonnetiusbinarius Casey, 1922 for Sonnetius Casey, 1922; ELATERIDAE: Pyrophorusmelanoxanthus Candèze, 1865 for Alampes Champion, 1896; PHYCOSECIDAE: Phycosecislitoralis Pascoe, 1875 for Phycosecis Pascoe, 1875; PTILODACTYLIDAE: Aploglossasallei Guérin-Méneville, 1849 for Aploglossa Guérin-Méneville, 1849, Coloboderaovata Klug, 1837 for Colobodera Klug, 1837; PTINIDAE: Dryophilusanobioides Chevrolat, 1832 for Dryobia Gistel, 1856; SCARABAEIDAE: Achloahelvola Erichson, 1840 for Achloa Erichson, 1840, Camentaobesa Burmeister, 1855 for Camenta Erichson, 1847, Pinotustalaus Erichson, 1847 for Pinotus Erichson, 1847, Psilonychusecklonii Burmeister, 1855 for Psilonychus Burmeister, 1855. New replacement name: CERAMBYCIDAE: Basorus Bouchard & Bousquet, nom. nov. for Sobarus Harold, 1879. New status: CARABIDAE: KRYZHANOVSKIANINI Deuve, 2020, stat. nov. is given the rank of tribe instead of subfamily since our classification uses the rank of subfamily for PAUSSINAE rather than family rank; CERAMBYCIDAE: Amymoma Pascoe, 1866, stat. nov. is used as valid over Neoamymoma Marinoni, 1977, Holopterus Blanchard, 1851, stat. nov. is used as valid over Proholopterus Monné, 2012; CURCULIONIDAE: Phytophilus Schönherr, 1835, stat. nov. is used as valid over the unnecessary new replacement name Synophthalmus Lacordaire, 1863; EUCNEMIDAE: Nematodinus Lea, 1919, stat. nov. is used as valid instead of Arrhipis Gemminger, 1869, which is a junior homonym. Details regarding additional nomenclatural issues that still need to be resolved are included in the entry for each of these type genera: BOSTRICHIDAE: Lyctus Fabricius, 1792; BRENTIDAE: Trachelizus Dejean, 1834; BUPRESTIDAE: Pristiptera Dejean, 1833; CANTHARIDAE: Chauliognathus Hentz, 1830, Telephorus Schäffer, 1766; CARABIDAE: Calathus Bonelli, 1810, Cosnania Dejean, 1821, Dicrochile Guérin-Méneville, 1847, Epactius D.H. Schneider, 1791, Merismoderus Westwood, 1847, Polyhirma Chaudoir, 1850, Solenogenys Westwood, 1860, Zabrus Clairville, 1806; CERAMBYCIDAE: Ancita J. Thomson, 1864, Compsocerus Audinet-Serville, 1834, Dorcadodium Gistel, 1856, Glenea Newman, 1842; Hesperophanes Dejean, 1835, Neoclytus J. Thomson, 1860, Phymasterna Laporte, 1840, Tetrops Stephens, 1829, Zygocera Erichson, 1842; CHRYSOMELIDAE: Acanthoscelides Schilsky, 1905, Corynodes Hope, 1841, Edusella Chapuis, 1874; Hemisphaerota Chevrolat, 1836; Physonota Boheman, 1854, Porphyraspis Hope, 1841; CLERIDAE: Dermestoides Schäffer, 1777; COCCINELLIDAE: Hippodamia Chevrolat, 1836, Myzia Mulsant, 1846, Platynaspis L. Redtenbacher, 1843; CURCULIONIDAE: Coeliodes Schönherr, 1837, Cryptoderma Ritsema, 1885, Deporaus Leach, 1819, Epistrophus Kirsch, 1869, Geonemus Schönherr, 1833, Hylastes Erichson, 1836; DYTISCIDAE: Deronectes Sharp, 1882, Platynectes Régimbart, 1879; EUCNEMIDAE: Dirhagus Latreille, 1834; HYBOSORIDAE: Ceratocanthus A. White, 1842; HYDROPHILIDAE: Cyclonotum Erichson, 1837; LAMPYRIDAE: Luciola Laporte, 1833; LEIODIDAE: Ptomaphagus Hellwig, 1795; LUCANIDAE: Leptinopterus Hope, 1838; LYCIDAE: Cladophorus Guérin-Méneville, 1830, Mimolibnetis Kazantsev, 2000; MELOIDAE: Mylabris Fabricius, 1775; NITIDULIDAE: Meligethes Stephens, 1829; PTILODACTYLIDAE: Daemon Laporte, 1838; SCARABAEIDAE: Allidiostoma Arrow, 1940, Heterochelus Burmeister, 1844, Liatongus Reitter, 1892, Lomaptera Gory & Percheron, 1833, Megaceras Hope, 1837, Stenotarsia Burmeister, 1842; STAPHYLINIDAE: Actocharis Fauvel, 1871, Aleochara Gravenhorst, 1802; STENOTRACHELIDAE: Stenotrachelus Berthold, 1827; TENEBRIONIDAE: Cryptochile Latreille, 1828, Heliopates Dejean, 1834, Helops Fabricius, 1775. First Reviser actions deciding the correct original spelling: CARABIDAE: Aristochroodes Marcilhac, 1993 (not Aritochroodes); CERAMBYCIDAE: Dorcadodium Gistel, 1856 (not Dorcadodion), EVODININI Zamoroka, 2022 (not EVODINIINI); CHRYSOMELIDAE: Caryopemon Jekel, 1855 (not Carpopemon), Decarthrocera Laboissière, 1937 (not Decarthrocerina); CICINDELIDAE: Odontocheila Laporte, 1834 (not Odontacheila); CLERIDAE: CORMODINA Bartlett, 2021 (not CORMODIINA), Orthopleura Spinola, 1845 (not Orthoplevra, not Orthopleuva); CURCULIONIDAE: Arachnobas Boisduval, 1835 (not Arachnopus), Palaeocryptorhynchus Poinar, 2009 (not Palaeocryptorhynus); DYTISCIDAE: Ambarticus Yang et al., 2019 and AMBARTICINI Yang et al., 2019 (not Ambraticus, not AMBRATICINI); LAMPYRIDAE: Megalophthalmus G.R. Gray, 1831 (not Megolophthalmus, not Megalopthalmus); SCARABAEIDAE: Mentophilus Laporte, 1840 (not Mintophilus, not Minthophilus), Pseudadoretusdilutellus Semenov, 1889 (not P.ditutellus). While the correct identification of the type species is assumed, in some cases evidence suggests that species were misidentified when they were fixed as the type of a particular nominal genus. Following the requirements of Article 70.3.2 of the International Code of Zoological Nomenclature we hereby fix the following type species (which in each case is the taxonomic species actually involved in the misidentification): ATTELABIDAE: Rhynchitescavifrons Gyllenhal, 1833 for Lasiorhynchites Jekel, 1860; BOSTRICHIDAE: Ligniperdaterebrans Pallas, 1772 for Apate Fabricius, 1775; BRENTIDAE: Ceocephalusappendiculatus Boheman, 1833 for Uroptera Berthold, 1827; BUPRESTIDAE: Buprestisundecimmaculata Herbst, 1784 for Ptosima Dejean, 1833; CARABIDAE: Amaralunicollis Schiødte, 1837 for Amara Bonelli, 1810, Buprestisconnexus Geoffroy, 1785 for Polistichus Bonelli, 1810, Carabusatrorufus Strøm, 1768 for Patrobus Dejean, 1821, Carabusgigas Creutzer, 1799 for Procerus Dejean, 1821, Carabusteutonus Schrank, 1781 for Stenolophus Dejean, 1821, Carenumbonellii Westwood, 1842 for Carenum Bonelli, 1813, Scaritespicipes G.-A. Olivier, 1795 for Acinopus Dejean, 1821, Trigonotomaindica Brullé, 1834 for Trigonotoma Dejean, 1828; CERAMBYCIDAE: Cerambyxlusitanus Linnaeus, 1767 for Exocentrus Dejean, 1835, Clytussupernotatus Say, 1824 for Psenocerus J.L. LeConte, 1852; CICINDELIDAE: Ctenostomajekelii Chevrolat, 1858 for Ctenostoma Klug, 1821; CURCULIONIDAE: Cnemogonuslecontei Dietz, 1896 for Cnemogonus J.L. LeConte, 1876; Phloeophagusturbatus Schönherr, 1845 for Phloeophagus Schönherr, 1838; GEOTRUPIDAE: Lucanusapterus Laxmann, 1770 for Lethrus Scopoli, 1777; HISTERIDAE: Histerrugiceps Duftschmid, 1805 for Hypocaccus C.G. Thomson, 1867; HYBOSORIDAE: Hybosorusilligeri Reiche, 1853 for Hybosorus W.S. MacLeay, 1819; HYDROPHILIDAE: Hydrophilusmelanocephalus G.-A. Olivier, 1793 for Enochrus C.G. Thomson, 1859; MYCETAEIDAE: Dermestessubterraneus Fabricius, 1801 for Mycetaea Stephens, 1829; SCARABAEIDAE: Aulaciumcarinatum Reiche, 1841 for Mentophilus Laporte, 1840, Phanaeusvindex W.S. MacLeay, 1819 for Phanaeus W.S. MacLeay, 1819, Ptinusgermanus Linnaeus, 1767 for Rhyssemus Mulsant, 1842, Scarabaeuslatipes Guérin-Méneville, 1838 for Cheiroplatys Hope, 1837; STAPHYLINIDAE: Scydmaenustarsatus P.W.J. Müller & Kunze, 1822 for Scydmaenus Latreille, 1802. New synonyms: CERAMBYCIDAE: CARILIINI Zamoroka, 2022, syn. nov. of ACMAEOPINI Della Beffa, 1915, DOLOCERINI Özdikmen, 2016, syn. nov. of BRACHYPTEROMINI Sama, 2008, PELOSSINI Tavakilian, 2013, syn. nov. of LYGRINI Sama, 2008, PROHOLOPTERINI Monné, 2012, syn. nov. of HOLOPTERINI Lacordaire, 1868.
In the recent past, Distributed Denial of Service (DDoS) attacks have become more abundant and present one of the most serious security threats. In a DDoS attack, the attacker controls a botnet of daemons residing in vulnerable hosts that send a significant amount of traffic to flood the victim or the network infrastructure. In this paper, a common type of DDoS attacks known as "TCP SYN-Flood" is studied. This type of attack uses spoofed Internet Protocol (IP) addresses for SYN packets by exploiting the weakness in Transmission Control Protocol (TCP) 3-Way handshake used by the TCP/IP suite of protocols, which make the web servers unreachable for legitimate users or even worse, it might lead to server crash. In this paper, a resilient, efficient, lightweight, and robust IP traceback algorithm is proposed using an IP tracing packet for each attack path. The proposed algorithm suggests that edge routers-where the attack starts from-observe the traffic pattern passing through, and if the observed traffic carries the signature of TCP SYN-Flood DDoS attack and a high percentage of it is destined to a particular web server(s), it starts the tracing process by generating an IP trace packet, which accompanies the attack path recording the routers' IP addresses on the path between the attacker/daemon and the victim, which can extract the path and react properly upon receiving it by discarding any SYN packets originating from that attacker/daemon. To our knowledge, this is the first research that efficiently traces these kinds of attacks while they are running. The proposed solution has low computation and message overhead, efficient detection and tracing time, and converges in near optimal time. The results are validated using extensive simulation runs.
A simple wavelength tunable diode laser system has been designed and fabricated for laboratory use. Both the current and temperature controllers are based on an AVR microcontroller, and the experimental controls have been implemented with the help of daemon programs running in a message passing interface environment, which allows the users to run the control server and client programs on separate computers. The stability of the controllers has been tested using a distributed feedback (DFB) diode laser with a central wavelength of 852.3 nm. A noise spectral analysis of the current controller with and without the use of the diode laser as the active load has been demonstrated. The absorption spectra of 6S 1/2→6P 3/2 transition of 133 C s, as recorded by using the DFB laser system developed, are also presented.
This study aimed to evaluate the proteomic profile of seminal plasma from young Nellore bulls. We used 20 bulls aged between 19.8 and 22.7 months, divided into two groups according to the results of the Breeding Soundness Evaluation (BSE): approved (FIT n = 10) and not approved (UNFIT n = 10). The scrotal perimeter was measured and a semen collection was performed through electroejaculation. The percentage of sperm motility, mass motility, and sperm vigor were calculated using conventional microscopy, and the percentage of sperm abnormalities was calculated using phase-contrast microscopy of all ejaculates. Seminal plasma was separated from spermatozoa using centrifugation and processed for proteomic analysis by LC-MS/MS. Seminal plasma proteins were identified using MASCOT Daemon software v.2.4.0 and label-free quantification analysis was carried out by SCAFFOLD Q+ software v.4.0 using the Exponentially Modified Protein Abundance Index (emPAI) method. Functional classification of proteins was performed based on their genetic ontology terms using KOG. Functional cluster analysis was performed on DAVID. There were no differences in scrotal perimeter and physical semen characteristics between FIT and UNFIT groups of bulls. The percentage of sperm abnormalities was higher (p < 0.05) in the UNFIT group of bulls. A total of 297 proteins were identified for the two groups. There were a total of 11 differentially abundant proteins (p < 0.05), two of them more abundant in FIT bulls (Spermadhesin-1 and Ig gamma-1 chain C region) and nine in UNFIT bulls (Vasoactive intestinal peptide, Metalloproteinase inhibitor 2, Ig lambda-1 chain C regions, Protein FAM3C, Hemoglobin beta, Seminal ribonuclease, Spermadhesin 2, Seminal plasma protein BSP-30kDa, and Spermadhesin Z13). Spermadhesin-1 was the protein with the highest relative abundance (36.7%) in the seminal plasma among all bulls, corresponding to 47.7% for the FIT bulls and 25,7% for the UNFIT bulls. Posttranslational modification, protein turnover, and chaperones were the functional categories with the highest number of classified proteins. Protein functional annotation clusters were related to Phospholipid efflux, ATP binding, and chaperonin-containing T-complex. The differentially abundant proteins in the group of FIT bulls were related to sperm capacitation and protection against reactive species of oxygen. In contrast, differentially expressed proteins in the group of UNFIT bulls were related to motility inhibition, intramembrane cholesterol removal and oxidative stress. In conclusion, the proteomic profile of the seminal plasma of FIT bulls presents proteins with participation in several biological processes favorable to fertilization, while the proteins of the seminal plasma of UNFIT bulls indicate a series of alterations that can compromise the fertilizing capacity of the spermatozoa. In addition, the relative abundance of spermadhesin-1 found in the seminal plasma of young Nellore bulls could be studied as a reproductive parameter for selection.
Glyptothorax sardashtensis, new species, from the upper Lesser Zab in Iran, is distinguished from its congeners in the Persian Gulf basin by: a plain flank without black or brown blotches; a wide and round anterior margin of the medial pit in the thoracic adhesive apparatus; few, short median striae in the thoracic adhesive apparatus; three yellowish blotches arranged in a crescent-shaped arch on the nuchal plate in front of the dorsal-fin origin; no tubercles on the head and flank; and a short adipose fin. The new species is also distinguished by a minimum K2P sequence divergence of 2.16% in the mtDNA-COI barcode region from G. daemon and G. galaxias, its closest relatives. Glyptothorax kurdistanicus is re-discovered close to its type locality.
Diatoms are mostly photosynthetic eukaryotes within the heterokont lineage. Variable plastid genome sizes and extensive genome rearrangements have been observed across the diatom phylogeny, but little is known about plastid genome evolution within order- or family-level clades. The Thalassiosirales is one of the more comprehensively studied orders in terms of both genetics and morphology. Seven complete diatom plastid genomes are reported here including four Thalassiosirales: Thalassiosira weissflogii, Roundia cardiophora, Cyclotella sp. WC03_2, Cyclotella sp. L04_2, and three additional non-Thalassiosirales species Chaetoceros simplex, Cerataulina daemon, and Rhizosolenia imbricata. The sizes of the seven genomes vary from 116,459 to 129,498 bp, and their genomes are compact and lack introns. The larger size of the plastid genomes of Thalassiosirales compared to other diatoms is due primarily to expansion of the inverted repeat. Gene content within Thalassiosirales is more conserved compared to other diatom lineages. Gene order within Thalassiosirales is highly conserved except for the extensive genome rearrangement in Thalassiosira oceanica. Cyclotella nana, Thalassiosira weissflogii and Roundia cardiophora share an identical gene order, which is inferred to be the ancestral order for the Thalassiosirales, differing from that of the other two Cyclotella species by a single inversion. The genes ilvB and ilvH are missing in all six diatom plastid genomes except for Cerataulina daemon, suggesting an independent gain of these genes in this species. The acpP1 gene is missing in all Thalassiosirales, suggesting that its loss may be a synapomorphy for the order and this gene may have been functionally transferred to the nucleus. Three genes involved in photosynthesis, psaE, psaI, psaM, are missing in Rhizosolenia imbricata, which represents the first documented instance of the loss of photosynthetic genes in diatom plastid genomes.
The Glyptothorax species inhabiting the Euphrates and Tigris drainages are reviewed and six species are recognised, one of which is described herein as new species. Glyptothorax armeniacus is endemic to headwater streams in the Euphrates drainage. Glyptothorax kurdistanicus is endemic to the upper Tigris downstream to the Lesser Zab drainage. Glyptothorax cous and G. steindachneri are riverine species widespread in both the Euphrates and Tigris drainages. Glyptothorax silviae is endemic to Iran. Glyptothorax daemon, new species, from the Greater Zab and Yanarsu in the upper Tigris drainage, is distinguished by having the thoracic adhesive apparatus strongly elevated, 1.11.2 times longer than wide, without tubercles on the head, well developed anteromedial striae, the medial pit without striae, and a short adipose fin. Glyptothorax daemon is separated into two mitochondrial lineages, externally indistinguishable and separated by a minimum K2P distance of 2.0% in the DNA barcode region. These lineages are paraphyletic in our analysis indicating past introgressive hybridisation with G. cous. All six species are diagnosed and all, except unstudied G. steindachneri, form distinct mitochondrial clades with between 1.2% and 3.4% minimum K2P distance between them. Species from the Euphrates and Tigris form a monophyletic mitochondrial group separated from 53 other Glyptothorax species studied from India and areas further east.
Internet gaming disorder (IGD) has become an increasing mental health problem worldwide. Decreased resting-state functional connectivity (rsFC) between the ventral tegmental area (VTA) and the nucleus accumbens (NAcc) has been found in substance use and is thought to play an important role in the development of substance addiction. However, rsFC between the VTA and NAcc in a non-substance addiction, such as IGD, has not been assessed previously. The current study aimed to investigate: (1) if individuals with IGD exhibit alterations in VTA-NAcc functional connectivity; and (2) whether VTA-NAcc functional connectivity is associated with subjective Internet craving. Thirty-five male participants with IGD and 24 healthy control (HC) individuals participated in resting-state functional magnetic resonance imaging. Regions of interest (left NAcc, right NAcc and VTA) were selected based on the literature and were defined by placing spheres centered on Talairach Daemon coordinates. In comparison with HCs, individuals with IGD had significantly decreased rsFC between the VTA and right NAcc. Resting-state functional connectivity strength between the VTA and right NAcc was negatively correlated with self-reported subjective craving for the Internet. These results suggest possible neural functional similarities between individuals with IGD and individuals with substance addictions.
Canine babesiosis is a tick-borne disease that is caused by the haemoprotozoan parasites of the genus Babesia. There are limited data on serum proteomics in dogs, and none of the effect of babesiosis on the serum proteome. The aim of this study was to identify the potential serum biomarkers of babesiosis using proteomic techniques in order to increase our understanding about disease pathogenesis. Serum samples were collected from 25 dogs of various breeds and sex with naturally occurring babesiosis caused by B. canis canis. Blood was collected on the day of admission (day 0), and subsequently on the 1st and 6th day of treatment. Two-dimensional electrophoresis (2DE) of pooled serum samples of dogs with naturally occurring babesiosis (day 0, day 1 and day 6) and healthy dogs were run in triplicate. 2DE image analysis showed 64 differentially expressed spots with p ≤ 0.05 and 49 spots with fold change ≥2. Six selected spots were excised manually and subjected to trypsin digest prior to identification by electrospray ionisation mass spectrometry on an Amazon ion trap tandem mass spectrometry (MS/MS). Mass spectrometry data was processed using Data Analysis software and the automated Matrix Science Mascot Daemon server. Protein identifications were assigned using the Mascot search engine to interrogate protein sequences in the NCBI Genbank database. A number of differentially expressed serum proteins involved in inflammation mediated acute phase response, complement and coagulation cascades, apolipoproteins and vitamin D metabolism pathway were identified in dogs with babesiosis. Our findings confirmed two dominant pathogenic mechanisms of babesiosis, haemolysis and acute phase response. These results may provide possible serum biomarker candidates for clinical monitoring of babesiosis and this study could serve as the basis for further proteomic investigations in canine babesiosis.
Canastra artisanal Minas cheese samples were collected in Minas Gerais - Brazil. The samples were evaluated in order to observe the presence of antimicrobial peptides during 30 days of ripening. Soluble peptides extracted from the cheeses were fractionated by reverse phase liquid chromatography and their fractions evaluated for inhibitory action of E. coli. Fractions containing antimicrobial activity were analyzed by MALDI-TOF/TOF and then peptides were sequenced and identified using MASCOT Daemon coupled with UniProt database. The identified peptides were then validated by SCAFFOLD application. The peptides present in fractions with antimicrobial activity were RPKHPIKHQ, RPKHPIKHQG, RPKHPIKHQGLPQ and RPKHPIKHQGLPQE, HQPHQPLPPT and MHQPHQPLPPT. Peptide sequences PKHPIKHQ, RPKHPIKHQG, RPKHPIKHQGLPQ and RPKHPIKHQGLPQE were originated from αs1-casein and are their fragments belonging to Isracidine, which in turn is a well known antimicrobial peptide. The HQPHQPLPPT and MHQPHQPLPPT peptides were related to β-casein and were isolated in other studies, but their biological activities are still unknown.