Modeling of gene frequencies dynamics in kilka populations under the influence of natural selection factors

Проведено моделювання динамiки генних частот волзьких популяцiй тюльки пiд впливом факторів природного добору. Встановлено, що iнверсiя генних частот двоалельного локусу, яка спостерігається у реальній ситуацiї, може здiйснюватися тільки тоді, коли діють фактори природного добору. Проведено моделирование динамики генных частот волжских популяций тюльки под влиянием факторов природного отбора. Установлено, що инверсия генных частот двуаллельного локуса, которая наблюдается в реальной ситуации, может осуществляться только тогда, когда действуют факторы природного отбора.Modelling of gene frequencies dynamics in the Volga kilka populations under influence of the natural selection factors is carried out. It is established, that inversion of frequencies of two allelic loci, which is observed in a real situation, may occur only under the factors of natural selection. Theoretically, it can descend in an ecological time scale

Spatial distribution of Oreoleuciscus potanini in evenings in the Bayan Nur lake, Мohgolia

Вивчено розподіл алтайського османа в одному з озер Монголії улітку. Показники ехолота GPSMAP 178 фіксували цифровим фотоапаратом. Аналіз горизонтального розподілу риб показав, що максимальна концентрація та мінімальна варіабельність густоти ехомішеней відмічена на ділянках із глибинами 6–15 м. Аналіз вертикального розподілу розрідженого скупчення риб у пелагіалі виявив дві зони концентрації риб (2–4 м і від 10 м та глибше), між якими риби відмічаються поодиноко. Щільні скупчення риб, навпаки, локалізовані в основному у середніх шарах. Изучено распределение алтайского османа в одном из озер Монголии в летнее время. Показания эхолота GPSMAP 178 фиксировали цифровым фотоаппаратом. Анализ горизонтального распределения рыб показал, что максимальная концентрация и минимальная вариабельность плотности эхомишеней отмечались на участках глубиной 6–15 м. Анализ вертикального распределения разреженного скопления рыб в пелагиали выявил две зоны концентрации рыб (2–4 м и от 10 м и глубже), между которыми рыбы отмечаются одиночно. Плотные скопления рыб, напротив, локализованы в основном в средних слоях.Distribution of the altay osman in one of the lakes of Mongolia was studied in summer. Indications of the sonar GPSMAP 178 were fixed withdigital camera. Analysis of fish horizontal distribution had shown that the maximal concentrations and minimal variability of fish density were registered in the areas with depths of 6–15 m. Analysis of vertical distribution of pelagic rarefied fish aggregationshas revealed two fish concentration zones (2–4 m and from 10 m to deeper). Between those zones the fish scores were sparse. On the contrary, dense aggregationsof fishes locate at the middle water strata in the core.

Transcranial magnetic stimulation of the brain: What is stimulated? – A consensus and critical position paper

Copyright © 2022 The Author(s) and International Federation of Clinical Neurophysiology. Transcranial (electro)magnetic stimulation (TMS) is currently the method of choice to non-invasively induce neural activity in the human brain. A single transcranial stimulus induces a time-varying electric field in the brain that may evoke action potentials in cortical neurons. The spatial relationship between the locally induced electric field and the stimulated neurons determines axonal depolarization. The induced electric field is influenced by the conductive properties of the tissue compartments and is strongest in the superficial parts of the targeted cortical gyri and underlying white matter. TMS likely targets axons of both excitatory and inhibitory neurons. The propensity of individual axons to fire an action potential in response to TMS depends on their geometry, myelination and spatial relation to the imposed electric field and the physiological state of the neuron. The latter is determined by its transsynaptic dendritic and somatic inputs, intrinsic membrane potential and firing rate. Modeling work suggests that the primary target of TMS is axonal terminals in the crown top and lip regions of cortical gyri. The induced electric field may additionally excite bends of myelinated axons in the juxtacortical white matter below the gyral crown. Neuronal excitation spreads ortho- and antidromically along the stimulated axons and causes secondary excitation of connected neuronal populations within local intracortical microcircuits in the target area. Axonal and transsynaptic spread of excitation also occurs along cortico-cortical and cortico-subcortical connections, impacting on neuronal activity in the targeted network. Both local and remote neural excitation depend critically on the functional state of the stimulated target area and network. TMS also causes substantial direct co-stimulation of the peripheral nervous system. Peripheral co-excitation propagates centrally in auditory and somatosensory networks, but also produces brain responses in other networks subserving multisensory integration, orienting or arousal. The complexity of the response to TMS warrants cautious interpretation of its physiological and behavioural consequences, and a deeper understanding of the mechanistic underpinnings of TMS will be critical for advancing it as a scientific and therapeutic tool.Aman S. Aberra was supported by a U. S. A. National Science Foundation Graduate Research Fellowship (No. DGF 1106401). Andrea Antal has been supported by a grant of the Federal Ministry of Education and Research (BMBF) of Germany (Grant 01GP2124B) and by a grant of the Lower Saxony Ministry of Science and Culture (Grant 76251-12-7/19 ZN 3456). Marco Davare has been supported by a BBSRC responsive mode grant. Klaus Funke has been supported by a grant of the Federal Ministry of Education and Research (BMBF) of Germany (Grant 01EE1403B) as part of the German Center for Brain Stimulation (GCBS) and by the Deutsche Forschungsgemeinschaft (DFG) (Grants FU256/3-2; 122679504–SFB874). Mark Hallett is supported by the NINDS Intramural Program. Anke N. Karabanov holds a 4-year Sapere Aude Fellowship which is sponsored by the Independent Research Fund Denmark (Grant Nr. 0169-00027B). The sponsor had no direct involvement in the collection, analysis and interpretation of data and in the writing of the manuscript. Giacomo Koch has been supported by na EU grant H2020-EU.1.2.2. - FET Proactive (Neurotwin ID: 101017716). Sabine Meunier is Emeritus Research Director at INSERM, this has no direct involvement in the collection, analysis and interpretation of data and in the writing of the manuscript. Carlo Miniussi has been supported by a grant of the Caritro Foundation, Italy. Walter Paulus received grants from the Deutsche Forschungsgemeinschaft and BMBF. Angel V. Peterchev was supported by grants from the U. S. A. National Institutes of Health (Grants Nos. R01NS117405, R01NS088674, RF1MH114268, R01MH111865). Traian Popa has been supported by the Defitech Foundation and NIBS-iCog grant from the Swiss National Science Foundation. Hartwig R. Siebner holds a 5-year professorship in precision medicine at the Faculty of Health Sciences and Medicine, University of Copenhagen which is sponsored by the Lundbeck Foundation (Grant Nr. R186-2015-2138). The salary for Janine Kesselheim (PhD project) has been covered by a project grant “Biophysically adjusted state-informed cortex stimulation” (BASICS) funded by a synergy grant from Novo Nordisk Foundation (PI: Hartwig R Siebner, Interdisciplinary Synergy Program 2014; grant number NNF14OC001). Axel Thielscher has been supported by grants of the Lundbeck foundation (R118-A11308, R244-2017-196 and R313-2019-622). Yoshikazu Ugawa has been supported in part by grants from the Research Project Grant-in-aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology (Grants 15H05881, 16H05322, 19H01091, 20K07866). Ulf Ziemann received grants from the German Ministry of Education and Research (BMBF), European Research Council (ERC), and German Research Foundation (DFG)

Roadmap on organic inorganic hybrid perovskite semiconductors and devices

Metal halide perovskites are the first solution processed semiconductors that can compete in their functionality with conventional semiconductors, such as silicon. Over the past several years, perovskite semiconductors have reported breakthroughs in various optoelectronic devices, such as solar cells, photodetectors, light emitting and memory devices, and so on. Until now, perovskite semiconductors face challenges regarding their stability, reproducibility, and toxicity. In this Roadmap, we combine the expertise of chemistry, physics, and device engineering from leading experts in the perovskite research community to focus on the fundamental material properties, the fabrication methods, characterization and photophysical properties, perovskite devices, and current challenges in this field. We develop a comprehensive overview of the current state of the art and offer readers an informed perspective of where this field is heading and what challenges we have to overcome to get to successful commercializatio

Revision of the old world daphnia (Ctenodaphnia) similis group (Cladocera: Daphniidae)

Copyright © 2016 Magnolia Press.Species of the genus Daphnia O.F. Müller, 1785 (Cladocera: Daphniidae) have become very important models in evolutionary biology research. Previous morphological and genetic evidence suggests that numerous closely related "species groups" exist within the subgenus Daphnia (Ctenodaphnia) Dybowski & Grochowski, 1895, containing both described and undescribed species. The Daphnia similis group is among these species groups. The aim of the present paper is to revise the taxonomy of the Daphnia (Ctenodaphnia) similis group in the Old World with both morphological and genetic evidence (based on mitochondrial COI and 12S rRNA genes). We found that there are at least four species in the Old World D. similis species group: D. similis Claus, 1876; D. sinensis Gu, Xu, Li, Dumont et Han, 2013; D. similoides Hudec, 1991 and D. inopinata sp. nov. These four taxa of the similis-group, confused previously with D. similis, have different distributional ranges in the Old World, from extremely wide, spanning several biogegraphic regions (as D. sinensis), to regional endemics (D. similoides) and even species known so far from a single locality (D. inopinata sp. nov.). The Daphnia similis group provides another example in the cladocerans whereby the study of males yields more valuable characters for taxonomy than the study of parthenogenetic females

Revision of the old world daphnia (Ctenodaphnia) similis group (Cladocera: Daphniidae)

Copyright © 2016 Magnolia Press.Species of the genus Daphnia O.F. Müller, 1785 (Cladocera: Daphniidae) have become very important models in evolutionary biology research. Previous morphological and genetic evidence suggests that numerous closely related "species groups" exist within the subgenus Daphnia (Ctenodaphnia) Dybowski & Grochowski, 1895, containing both described and undescribed species. The Daphnia similis group is among these species groups. The aim of the present paper is to revise the taxonomy of the Daphnia (Ctenodaphnia) similis group in the Old World with both morphological and genetic evidence (based on mitochondrial COI and 12S rRNA genes). We found that there are at least four species in the Old World D. similis species group: D. similis Claus, 1876; D. sinensis Gu, Xu, Li, Dumont et Han, 2013; D. similoides Hudec, 1991 and D. inopinata sp. nov. These four taxa of the similis-group, confused previously with D. similis, have different distributional ranges in the Old World, from extremely wide, spanning several biogegraphic regions (as D. sinensis), to regional endemics (D. similoides) and even species known so far from a single locality (D. inopinata sp. nov.). The Daphnia similis group provides another example in the cladocerans whereby the study of males yields more valuable characters for taxonomy than the study of parthenogenetic females

La Patrie : journal quotidien, politique, commercial et littéraire

24 mai 18951895/05/24 (A55)

The new BDP-98 600-m drill core from Lake Baikal: A key late Cenozoic sedimentary section in continental Asia

The new 600-m drill core BDP-98 from the Academician Ridge of Lake Baikal recovered a continuous sedimentary record of the past 10 Ma. The entire section is represented by lacustrine sediments, which gradually change from distal deltaic facies at the bottom of the section to fine undisturbed hemipelagic sediments of the upper 300-m interval. The entire 10-Ma lacustrine section contains abundant diatoms, thus allowing extension of Plio-Pleistocene diatom and biogenic silica records into the Miocene. Above the Matuyama/Gauss paleomagnetic reversal boundary, the BDP-98 record contains clearly delineated glacial/interglacial lithologic cycles. Below this boundary the diatom signal is quite different: average diatom contents are higher and variations are of lower amplitude. Although most likely paleoclimatic in origin, these variation presumably reflect past changes in the moisture regime of southeast Siberia under conditions of warm subtropical climate during the Miocene and Early-Middle Pliocene. The continuous BDP-98 drill core, which covers the hiati present in the composite continental sections of the Baikal region, is a key section for reconstructing the Neogene-Quaternary climatic evolution of continental Asia. The BDP-98 section also places several important time constraints on the rifting history of Lake Baikal by providing reliable correlation of lithological and physical properties of the drill core sediments with calculated positions of the acoustic reflection boundaries interpreted from multichannel seismic studies. The lithologic composition indicates that, on the stable block of Academician Ridge where the BDP-96 and BDP-98 drill sites are located, acoustic reflection boundaries are not associated with major erosional events, but instead result from changes in sediment density and composition. Several lithologic indices further suggest that significant changes have occurred in the physics and chemistry of Lake Baikal waters, affecting the carbonate equilibrium and oxygen regime of Baikal. © 2001 Published by Elsevier Science Ltd