Cyclotella paleo-ocellata, a new centric diatom (Bacillariophyta) from Lake Kinneret (Israel)

© Czech Phycological Society (2015). Large, subfossil populations of an unknown centric, planktonic diatom were observed in a lake sediment core from Lake Kinneret (Israel), which is here described as Cyclotella paleo–ocellata sp. nov. The new taxon, which belongs to the Cyclotella ocellata species complex, is described and separated from other similar taxa (e.g., Cyclotella ocellata, Cyclotella kuetzingiana, Cyclotella polymorpha, Cyclotella paraocellata) based on a combination of the following morphological characters: valve diameter, number of orbiculi depressi (circular depressions), number of striae/10 μm, stria length, number and position of rimoportulae and the number of central and marginal fultoportulae. Cyclotella paleo–ocellata can be distinguished mainly by two prominent characteristics: (1) the number and the arrangement of the orbiculi depressi (4–8) which increase with the valve diameter and (2) the marginal fultoportulae, situated on each, every second or third costa. Since Cyclotella paleo–ocellata is at present only known from the subfossil bottom sediments of Lake Kinneret, its ecological preferences are inferred simply from the associated diatom flora

Time- and ensemble-average statistical mechanics of the Gaussian network model

We present analytical results for a set of time- and ensemble-averaged physical observables in the non-Hookean Gaussian network model (GNM)—a generalization of the Rouse model to elastic networks with links that display a certain degree of extensional and rotational stiffness. We focus on a set of coarse-grained observables that may be of interest in the analysis of GNM in the context of internal motions in proteins and mechanical frames in contact with a heat bath. A C++ computer code is made available that implements all analytical results

Lake Kinneret (Israel): New insights into Holocene regional palaeoclimate variability based on high-resolution multi-proxy analysis

The southern Levant is a Mediterranean climate zone of complex variability in which uncertainty remains in regional palaeoclimate reconstruction. In spite of the proven value of diatoms in circum-Mediterranean palaeoenvironmental research, their potential remains largely unexplored in the southern Levant region. In this study, we generate a new, high-resolution multi-proxy record for the last ca. 9000 cal. yr BP, supported by diatom data and key biological, mineralogical and geochemical indicators preserved in a 17.8-m-long sediment sequence recovered from Lake Kinneret (the Sea of Galilee), Israel. During the Holocene, well-correlated shifts in the diatom, minero-geochemical and palynological data indicate marked lake-level variation over time as well as changes in the trophic state of Lake Kinneret. Our results are particularly important in improving the reconstruction of Holocene lake-level variation, and thus past moisture availability. Diatom-inferred lake-level oscillations correlate well with the output from climatic models from the Levantine region and clarify previous uncertainty concerning regional variation in moisture availability. The Early Holocene (from ca. 9000 to 7400 cal. yr BP) was characterized by lake-level shifts due to fluctuating dry-wet climate conditions. During the mid-Holocene (from 7400 to 2200 cal. yr BP), a stable, deep lake-level phase persisted due to high humidity. The lake level of modern Lake Kinneret not only fluctuates seasonally with available moisture, but has also been influenced for ca. 2000 years by the impacts of water abstraction for human consumption and agriculture. Over the last 9000 cal. yr BP, the trophic state of Lake Kinneret has changed from an oligotrophic to a meso- to eutrophic environment, mainly triggered by increased human impact from around 2200 cal. yr BP onwards. The lake’s ecosystem status was not strongly affected by the documented major changes in human occupation patterns during the mid-Holocene, when a relatively stable environment persisted

Dendritic TAU-telidge

info:eu-repo/semantics/publishedVersio

Cortical Coupling Reflects Bayesian Belief Updating in the Deployment of Spatial Attention

The deployment of visuospatial attention and the programming of saccades are governed by the inferred likelihood of events. In the present study, we combined computational modeling of psychophysical data with fMRI to characterize the computational and neural mechanisms underlying this flexible attentional control. Sixteen healthy human subjects performed a modified version of Posner's location-cueing paradigm in which the percentage of cue validity varied in time and the targets required saccadic responses. Trialwise estimates of the certainty (precision) of the prediction that the target would appear at the cued location were derived from a hierarchical Bayesian model fitted to individual trialwise saccadic response speeds. Trial-specific model parameters then entered analyses of fMRI data as parametric regressors. Moreover, dynamic causal modeling (DCM) was performed to identify the most likely functional architecture of the attentional reorienting network and its modulation by (Bayes-optimal) precision-dependent attention. While the frontal eye fields (FEFs), intraparietal sulcus, and temporoparietal junction (TPJ) of both hemispheres showed higher activity on invalid relative to valid trials, reorienting responses in right FEF, TPJ, and the putamen were significantly modulated by precision-dependent attention. Our DCM results suggested that the precision of predictability underlies the attentional modulation of the coupling of TPJ with FEF and the putamen. Our results shed new light on the computational architecture and neuronal network dynamics underlying the context-sensitive deployment of visuospatial attention. Copyright \ua9 2015 Vossel et al

Resource allocation and performance of high school students in unit school districts in the state of Illinois

Illinois has distinguished itself as one of the most inequitable states in the nation when it comes to state PK-12 education funding. With the advent of the No Child Left Behind Act, and more recently, the Every Student Succeeds Act, student achievement data has been thrust in front of the public, and conversations regarding equity, quality, accountability, and efficiency have dominated much of the dialogue regarding public education. This ex post facto quantitative study examined the relationship between instructional expenditures and the achievement of 11th grade students in public PK-12 (unit) school districts in the State of Illinois on the composite portion of the ACT. Data used for this study involved the 2012-2013 school year administration of the ACT exam and financial data reported for 375 Illinois unit school districts to the Illinois State Board of Education (ISBE) from that year. The analysis involved instructional expenditures and the performance of 11th grade students on the composite score of the ACT examination. The study also analyzed relationships between instructional spending and student performance while accommodating for poverty level as measured by student participation in the National School Lunch Program (NSLP) through free or reduced-priced lunch. The study then analyzed the relationship between instructional spending and the performance of Black, Hispanic, and Native American student subgroups. Finally, the relationship between instructional spending and the performance of Black, Hispanic, and Native American students was analyzed after accommodating for poverty level as measured by participation in NSLP. There was no statistically significant relationship between instructional spending and the overall performance of 11th grade students in Illinois unit school districts in the 2012-2013 school year. No statistically significant relationship was found after accommodating for poverty. However, findings did show a significant relationship between instructional spending and the performance of Black, Hispanic, and Native American students where these student subgroups comprised 10-20% of the district enrollments. This finding was consistent regardless of whether the analysis accommodated for poverty level. However, no statistically significant relationships were found in districts where less than 10% or over 20% of the overall student enrollment was comprised of Black, Hispanic, and Native American students. The conclusion is that district spending on instruction does have a relationship to 11th grade student achievement in unit school districts for specific, targeted student populations

Spatial Attention, Precision, and Bayesian Inference: A Study of Saccadic Response Speed

Inferring the environment's statistical structure and adapting behavior accordingly is a fundamental modus operandi of the brain. A simple form of this faculty based on spatial attentional orienting can be studied with Posner's location-cueing paradigm in which a cue indicates the target location with a known probability. The present study focuses on a more complex version of this task, where probabilistic context (percentage of cue validity) changes unpredictably over time, thereby creating a volatile environment. Saccadic response speed (RS) was recorded in 15 subjects and used to estimate subject-specific parameters of a Bayesian learning scheme modeling the subjects' trial-by-trial updates of beliefs. Different response models—specifying how computational states translate into observable behavior—were compared using Bayesian model selection. Saccadic RS was most plausibly explained as a function of the precision of the belief about the causes of sensory input. This finding is in accordance with current Bayesian theories of brain function, and specifically with the proposal that spatial attention is mediated by a precision-dependent gain modulation of sensory input. Our results provide empirical support for precision-dependent changes in beliefs about saccade target locations and motivate future neuroimaging and neuropharmacological studies of how Bayesian inference may determine spatial attentio