Celebrity endorsement is omnipresent. However, despite its prevalence, it is unclear why celebrities are more persuasive than (equally attractive) non-famous endorsers. The present study investigates which processes underlie the effect of fame on product memory and purchase intention by the use of functional magnetic resonance imaging methods. We find an increase in activity in the medial orbitofrontal cortex (mOFC) underlying the processing of celebrity–product pairings. This finding suggests that the effectiveness of celebrities stems from a transfer of positive affect from celebrity to product. Additional neuroimaging results indicate that this positive affect is elicited by the spontaneous retrieval of explicit memories associated with the celebrity endorser. Also, we demonstrate that neither the activation of implicit memories of earlier exposures nor an increase in attentional processing is essential for a celebrity advertisement to be effective. By explaining the neural mechanism of fame, our results illustrate how neuroscience may contribute to a better understanding of consumer behavior.
‘Three-finger’ toxin WTX from Naja kaouthia interacts with nicotinic and muscarinic acetylcholine receptors (nAChRs and mAChRs). Mutagenesis and competition experiments with 125I-α-bungarotoxin revealed that Arg31 and Arg32 residues from the WTX loop II are important for binding to Torpedo californica and human α7 nAChRs. Computer modeling suggested that loop II occupies the orthosteric binding site at α7 nAChR. The similar toxin interface was previously described as a major determinant of allosteric interactions with mAChRs.
A central pattern generator (CPG) is defined as a set of neurons whose members work together to generate organized motor output activity. A round-table discussion on central pattern generators was held on November 21, 2012 as part of the Fifth All-Russian Conference on Animal Behavior in Moscow. The main topics of discussion were: 1) the mechanisms of the organization and rearrangement of pattern-generating neuron ensembles; 2) the possibility that structures of the central pattern generator type have a role in controlling non-motor brain functions; and 3) the evolutionary and ontogenetic aspects of central pattern generators.
For the last three decades the entire post-Soviet space saw a cardinal transformation of the land-use structure associated with the transition from a planned to a market economy. These changes influenced the productivity dynamics of agricultural lands. On the other hand, global warming became one further factor influencing crop yield. The primary objective of this study is to assess the possible role of each of these two factors, based on analyzing the trends of biological productivity of agroecosystems for three periods which stand out prominently as regards the priorities of the agricultural policy and characteristics of climatic conditions (the 1980s, 1990s and 2000s). Time series of NDVI GIMMS values, obtained from NOAA AVHRR low-resolution data, were used as the input data in analyzing productivity changes for agrolandscapes in the south of the European part of Russia, Ukraine and Moldova. Analysis of the landscape bioproductivity dynamics for the steppe and forest-steppe zones shows an unambiguous positive trend for the period of the 1980s characterized by stable weather conditions, and by the attraction of large investments in the agrarian sector. An unambiguous negative trend was revealed for the 1990s when all Soviet republics were experiencing a profound economic crisis, combined with extremely unfavorable weather conditions. In the early 21st century, remote sensing data did not show any clear directedness of formlands biological productivity trends. The results obtained are contradictory to the well-established view of a rapid recovery of production potentials in agriculture in countries of Eastern Europe at that period.
This study describes the segmentation and setation at different developmental stages of the homonomous trunk limbs of the remipede Speleonectes tulumensis Yager, 1987 collected in anchialine caves of the Yucatan Peninsula. Most homonomous trunk limbs originate ventrolaterally and are composed of two protopodal segments, three exopodal segments and four endopodal segments; contralateral limb pairs are united by a sternal bar. However, the last few posterior limbs originate ventrally, are smaller sized, and have regressively fewer segments, suggesting that limb development passes through several intermediate steps beginning with a limb bud. A terminal stage of development is proposed for specimens on which the posterior somite bears a simple bilobate limb bud, and the adjacent somite bears a limb with a protopod comprised of a coxapod and basipod, and with three exopodal and four endopodal segments. On each trunk limb there are 20 serially homologous groups of setae, and the numbers of setae on different limbs usually varies. These groups of setae are arranged linearly and are identified based on the morphology of the setae and their position on the segments. The number of setae in these groups increases gradually from the anterior homonomous limb to a maximum between limbs 8-12; the number then decreases sharply on the more posterior limbs. Changes in the number of setae, which reach a maximum between trunk limbs 8-12, differ from changes in segmentation which vary only over the last few posterior trunk limbs. Following a vector analysis that identified a spatial pattern for these 20 groups of setae among the different homonomous limbs, the hypothesis was confirmed that the number of setae in any given group and any given limb is correlated with the group, with the position of the somite along the body axis, and with the number of somites present on the specimens. This is the first vector analysis used to analyze a pattern of developmental changes in serially homologs of an arthropod. Development of remipede limbs are compared and contrasted with similar copepod limbs. Architecture, particularly the sternal bar uniting contralateral limb pairs, proposed as homologous, and development of trunk limb segmentation of the remipede is generally similar to that of copepods, but the remipede limb differs in several ways including an additional endopodal segment, the proximal, that appears simultaneously with the protopod during development.
Small nuclear and nucleolar RNAs (snRNAs and snoRNAs) are known to be functionally and evolutionarily conserved elements of transcript processing machinery. Here, we investigated the expression evolution of snRNAs and snoRNAs by measuring their abundance in the frontal cortex of humans, chimpanzees, rhesus monkeys, and mice. Although snRNA expression is largely conserved, 44% of the 185 measured snoRNA and 40% of the 134 snoRNA families showed significant expression divergence among species. The snRNA and snoRNA expression divergence included drastic changes unique to humans: A 10-fold elevated expression of U1snRNA and a 1,000-fold drop in expression ofSNORA29 The decreased expression of SNORA29 might be due to two mutations that affect secondary structure stability. Using in situ hybridization, we further localizedSNORA29expression to nucleolar regions of neuronal cells. Our study presents the first observation of snoRNA abundance changes specific to the human lineage and suggests a possible mechanism underlying these changes.
In December 2015, nearly 200 countries reached a historic agreement in Paris to limit greenhouse gas emissions in hopes of curbing global warming. Law360's Expert Analysis special series looks at the impact the agreement will have on policies in various regions and countries.
To gain success in the evolutionary “arms race”, venomous animals such as scorpions produce diverse neurotoxins selected to hit targets in the nervous system of prey. Scorpion α-toxins affect insect and/or mammalian voltage-gated sodium channels (Nav’s) and thereby modify the excitability of muscle and nerve cells. Although more than a hundred α-toxins are known and a number of them have been studied into detail, the molecular mechanism of their interaction with Nav’s is still poorly understood. Here, we employ extensive molecular dynamics simulations and spatial mapping of hydrophobic/hydrophilic properties distributed over the molecular surface of α-toxins. It is revealed that in spite of the small size and relatively rigid structure, these toxins possess modular organization from structural, functional and evolutionary perspectives. The more conserved and rigid “core module” is supplemented with the “specificity module” (SM) that is comparatively flexible and variable, and determines the taxon (mammal vs. insect) specificity of α-toxin activity. We further show that SMs in mammal toxins are more flexible and hydrophilic than in insect toxins. Concomitant sequence-based analysis of Nav’s extracellular loops suggests that α-toxins recognize the channels using both modules. We propose that the core module binds to the voltage-sensing domain of repeat IV, whereas the more versatile SM interacts with the pore domain in repeat I of Nav’s. These findings corroborate and expand the hypothesis on different functional epitopes of toxins that has been reported previously. In effect, we propose that the modular structure in toxins evolved to match the domain architecture of Nav’s.
Some categories used in Russian geography to analyze spatial aspects of social processes in cities are considered. The possibility to interpret the same terms differently is shown depending on scientific approaches and the investigation scopes applied. This paper is part of a topical collection of five articles published in this issue of the journal under the rubric “Urban Geography” and dedicated to key terms and notions used in urban studies in Russia, France, and other European countries (in addition, see also the following articles: “Cities, Rural Areas and Urbanization: Russia and the World”, “City and Countryside under WorldWide Urbanization”, “Integrated Forms of Urban Settlement Pattern in Russia, Europe, and Worldwide”, “Types of Cities in Russia and Across the Globe”).
Tbilisi, a city of over a million, is the national capital of Georgia. Although little explored in urban studies, the city epitomizes a fascinating assemblage of processes that can illuminate the interplay of geopolitics, political choices, globalization discourses, histories, and urban contestations in shaping urban transformations. Tbilisi's strategic location in the South Caucasus, at the juncture of major historical empires and religions in Eurasia, has ensured its turbulent history and a polyphony of cultural influences. Following Georgia's independence in 1991, Tbilisi found itself as the pivot of Georgian nation-building. Transition to a market economy also exposed the city to economic hardship, ethnical homogenization, and the informalization of the urban environment. The economic recovery since the early 2000s has activated urban regeneration. Georgia's government has recently promoted flagship urban development projects in pursuit of making Tbilisi as a modern globalizing metropolis. This has brought contradictions, such as undermining the city's heritage, contributing to socio-spatial polarization, and deteriorating the city's public spaces. The elitist processes of decision-making and a lack of a consistent urban policy and planning regimes are argued to be among major impediments for a more sustainable development of this city.
Pyongyang is often used as a metonym for North Korea's leaders and the issues their policies create for the world. However, the profound internal changes rapidly transforming the city since the 1990s make Pyongyang a fascinating urban case study. This profile is an attempt to shed light on one of the most ‘mysterious’ cities in the world; firstly, through analysis of its socio-economic dynamics and, secondly, by examining its possible transformation into a post-socialist city through a comparison of its spatial characteristics with Central and East European capitals. We also consider how the city retains substantial state socialist characteristics.
In situ XRD and NMR experiments combined with molecular dynamics simulations using the grand canonical ensemble (GCMD) show that cation size, charge and solvation energy play critical roles in determining the interlayer expansion of smectite clay minerals when exposed to dry supercritical CO2 under conditions relevant to the earthâ€™s upper crust, petroleum reservoirs, and geological CO2 sequestration conditions (323 K and 90 bar). The GCMD results show that the smectite mineral, hectorite, containing interlayer alkali and alkaline earth cations with relatively small ionic radii and high solvation and hydration energies (e.g., Li+, Na+ Mg2+, and Ca2+) does not intercalate dry CO2 and that the fully collapsed interlayer structure is the energetically most stable configuration. With increasing cation size and decreasing cation solvation energy, the energy barrier to CO2 intercalation decreases. With K+, Rb+, Cs+, Sr2+, and Ba2+ the monolayer structure is the stable configuration, and CO2 should spontaneously enter the interlayer. With Cs+ there is not even an energy barrier for CO2 intercalation, in agreement with the experimental XRD and NMR results that show clay layer expansion and CO2 incorporation. The number of intercalated CO2 molecules decreases with increasing size of the alkali cation but does not vary with ion size for the alkaline earth cations. 13C NMR spectroscopy and the GCMD simulations show that the average orientation of the intercalated CO2 molecules is with their O-C-O axes parallel to the basal clay surface and that they undergo a combination of rapid rotation about an axis perpendicular to the main molecular axis and wobbling motion with respect to the basal surface. Incorporation of CO2 in the interlayer decreases the coordination of Cs+ by the oxygen atoms of the basal surfaces, which is compensated by CO2 molecules entering their solvation shell, as predicted based on previously published NMR results. The GCMD simulations show that the strength of the interaction between the exchangeable cation and the clay structure dominates the intercalation energetics in dry scCO2. With relatively small cations, the cation-clay interactions outcompete cation solvation by CO2 molecules. The computed residence times for coordination among of interlayer species are consistent with the computed energetics.
A comprehensive review of the climate change mitigation and low carbon development issues in the Northeast Asia, including Russia, China, Japan, Mongolia, Republic of Korea and DPR of Korea. The countries face an outstanding challenge of using their huge reserves of fossil fuels while committing to prevent global warming by over 2 degree Celsius. Their resources of renewable energy, technological potential and investment resources can help to deeply decarbonize their economies by 2050, and the international cooperation projects in the region can speed up this process.
Kamchatka’s forests span across the peninsula’s diverse topography and provide a wide range of physiographic and elevational settings that can be used to investigate how forests are responding to climate change and to anticipate future response. Birch (Betula ermanii Cham.) and larch (Larix gmelinii (Rupr.) Kuzen) were sampled at eight new sites and together with previous collections were compared with monthly temperature and precipitation records to identify their climate response. Comparisons show that tree-ring widths in both species are primarily influenced by May through August temperatures of the current growth year, and that there is a general increase in temperature sensitivity with altitude. The ring-width data for each species were also combined into regional chronologies. The resulting composite larch chronology shows a strong resemblance to a Northern Hemisphere (NH) tree-ring based temperature reconstruction with the larch series tracking NH temperatures closely through the past 300 years. The composite birch ring-width series more closely reflects the Pacific regional coastal late summer temperatures. These new data improve our understanding of the response of forests to climate and show the low frequency warming noted in other, more continental records from high latitudes of the Northern Hemisphere. Also evident in the ring-width record is that the larch and birch forests continue to track the strong warming of interior Kamchatka. View Full-Text
The paper describes and analyzes original data, extracted from historical documents and scientific surveys, related to Russian fisheries in the southeastern part of the Gulf of Finland and its inflowing rivers during the 15- early 20th centuries. The data allow tracing key trends in fisheries development and in the abundance of major commercial species. In particular, results showed that, over time, the main fishing areas moved from the middle part of rivers downstream towards and onto the coastal sea. Changes in fishing patterns were closely interrelated with changes in the abundance of exploited fish. Anadromous species, such as Atlantic sturgeon, Atlantic salmon, brown trout, whitefish, vimba bream, smelt, lamprey, and catadromous eel were the most important commercial fish in the area because they were abundant, had high commercial value and were easily available for fishing in rivers. Due to intensive exploitation and other human-induced factors, populations of most of these species had declined notably by the early 20th century and have now lost commercial significance. The last sturgeon was caught in 1996, and todayonly smelt and lamprey support small commercial fisheries. According to historical sourcescatches of freshwater species such as roach, ide, pike, perch, ruffe and burbot regularly occurred, in some areas exceeding half of the total catch, but they were not as important as migrating fish and no clear trends in abundance are apparent. Of documented marine catch, Baltic herring appeared in the 16th century, but did not become commerciallysignificant until the 19th century. From then until now herring have been the dominant catch.
Background: Algorithms of sequence alignment are the key instruments for computer-assisted studies of biopolymers. Obviously, it is important to take into account the “quality” of the obtained alignments, i.e. how closely the algorithms manage to restore the “gold standard” alignment (GS-alignment), which superimposes positions originating from the same position in the common ancestor of the compared sequences. As an approximation of the GS-alignment, a 3D-alignment is commonly used not quite reasonably. Among the currently used algorithms of a pair-wise alignment, the best quality is achieved by using the algorithm of optimal alignment based on affine penalties for deletions (the Smith-Waterman algorithm). Nevertheless, the expedience of using local or global versions of the algorithm has not been studied. Results: Using model series of amino acid sequence pairs, we studied the relative “quality” of results produced by local and global alignments versus (1) the relative length of similar parts of the sequences (their “cores”) and their nonhomologous parts, and (2) relative positions of the core regions in the compared sequences. We obtained numerical values of the average quality (measured as accuracy and confidence) of the global alignment method and the local alignment method for evolutionary distances between homologous sequence parts from 30 to 240 PAM and for the core length making from 10% to 70% of the total length of the sequences for all possible positions of homologous sequence parts relative to the centers of the sequences. Conclusion: We revealed criteria allowing to specify conditions of preferred applicability for the local and the global alignment algorithms depending on positions and relative lengths of the cores and nonhomologous parts of the sequences to be aligned. It was demonstrated that when the core part of one sequence was positioned above the core of the other sequence, the global algorithm was more stable at longer evolutionary distances and larger nonhomologous parts than the local algorithm. On the contrary, when the cores were positioned asymmetrically, the local algorithm was more stable at longer evolutionary distances and larger nonhomologous parts than the global algorithm.
Reconstruction of the soft tissues (i.e., collateral ligaments, Lig. anticum, menisci, tendon of the M. fibularis brevis) involved in the mechanism of intertarsal joint stabilization in two species of extinct birds, Hesperornis regalis and Emeus crassus, allowed insights into their locomotion. The foot-propelled diving of Hesperornis included loon-like movement of the tarsometatarsus and grebe-like movement of the toes. Movement of the tarsometatarsus in Emeus was restricted to the parasagittal plane, thus resembling those of other Ratites and most highly cursorial birds.
This paper explores the consequences of different policy assumptions and the derivation of globally consistent, national low-carbon development pathways for the seven largest greenhouse gas (GHG)–emitting countries (EU28 as a bloc) in the world, covering approximately 70% of global CO2 emissions, in line with their contributions to limiting global average temperature increase to well below 2 °C as compared with pre-industrial levels. We introduce the methodology for developing these pathways by initially discussing the process by which global integrated assessment model (IAM) teams interacted and derived boundary conditions in the form of carbon budgets for the different countries. Carbon budgets so derived for the 2011–2050 period were then used in eleven different national energy-economy models and IAMs for producing low-carbon pathways for the seven countries in line with a well below 2 °C world up to 2050. We present a comparative assessment of the resulting pathways and of the challenges and opportunities associated with them. Our results indicate quite different mitigation pathways for the different countries, shown by the way emission reductions are split between different sectors of their economies and technological alternatives.
The intercalation of H2O, CO2, and other fluid species in expandable clay minerals (smectites) may play a significant role in controlling the behavior of these species in geological C-sequestration and enhanced petroleum production and has been the subject of intensive study in recent years. This paper reports the results of a computational study of the effects of the properties of the charge balancing, exchangeable cations on H2O and CO2 intercalation in the smectite mineral, hectorite, in equilibrium with an H2O-saturated supercritical CO2 fluid under reservoir conditions using Grand Canonical Molecular Dynamics (GCMD) methods. The results show that the intercalation behavior is greatly different with cations with relatively low hydration energies and high affinities for CO2 (here Cs+) than with cations with higher hydration energies (here Ca2+). With Cs+, CO2 intercalation occurs in a 1-layer structure and does not require H2O intercalation, whereas with Ca2+ the presence of a sub-monolayer of H2O is required for CO2 intercalation. The computational results provide detailed structural, dynamical and energetic insight into the differences in intercalation behavior and are in excellent agreement with in situ experimental XRD, IR, quartz crystal microbalance, and NMR results for smectite materials obtained under reservoir conditions.