Miracle-dz/UniFAR-FTUs huggingface dataset:
Synaptic plasticity and memory: an evaluation of the hypothesis.

Changing the strength of connections between neurons is widely assumed to be the mechanism by which memory traces are encoded and stored in the central nervous system. In its most general form, the synaptic plasticity and memory hypothesis states that "activity-dependent synaptic plasticity is induced at appropriate synapses during memory formation and is both necessary and sufficient for the information storage underlying the type of memory mediated by the brain area in which that plasticity is observed. " We outline a set of criteria by which this hypothesis can be judged and describe a range of experimental strategies used to investigate it. We review both classical and newly discovered properties of synaptic plasticity and stress the importance of the neural architecture and synaptic learning rules of the network in which it is embedded. The greater part of the article focuses on types of memory mediated by the hippocampus, amygdala, and cortex. We conclude that a wealth of data supports the notion that synaptic plasticity is necessary for learning and memory, but that little data currently supports the notion of sufficiency.
Activity of the Novel Immunomodulatory Compound Tucaresol against Experimental Visceral Leishmaniasis

ABSTRACT Tucaresol, a novel immunomodulator, was inactive againstLeishmania donovani amastigotes in both peritoneal and bone marrow macrophages in vitro at concentrations between 100 and 1 μM, with toxicity to macrophages and parasites at 300 μM. However, against L. donovani in BALB/c mice at doses between 80 and 1.25 mg/kg of body weight administered once daily by the oral route during days 7 to 11 of infection, an optimal dose of 5 mg/kg produced a 43.8 to 62.4% suppression of liver amastigotes, with significantly reduced activity at the extremes of the dose range. This response was not related to levels of infection. No interaction with the standard pentavalent antimonial sodium stibogluconate (Pentostam) was observed during this period of infection. The optimum dose of 5 mg/kg was ineffective when administered during the first week of infection and was most effective against the liver infection when administered during weeks 2 to 3 of infection (42.3 to 46.8% inhibition) and against the splenic infection when administered during week 6 of infection (59.5% inhibition). The optimum dose of tucaresol against L. donovani in C57BL/6 mice was 5 mg/kg, which produced a 40.8 to 48.7% suppression of liver amastigotes when administered in a range of 80 to 1.25 mg/kg during days 7 to 11 of infection. The drug had no activity against L. donovani infections in C.B-17scid mice when the same regimen was used.
Parameter Space Compression Underlies Emergent Theories and Predictive Models

Information Physics Multiparameter models, which can emerge in biology and other disciplines, are often sensitive to only a small number of parameters and robust to changes in the rest; approaches from information theory can be used to distinguish between the two parameter groups. In physics, on the other hand, one does not need to know the details at smaller length and time scales in order to understand the behavior on large scales. This hierarchy has been recognized for a long time and formalized within the renormalization group (RG) approach. Machta et al. (p. 604) explored the connection between two scales by using an information-theoretical approach based on the Fisher Information Matrix to analyze two commonly used physics models—diffusion in one dimension and the Ising model of magnetism—as the time and length scales, respectively, were progressively coarsened. The expected “stiff” parameters emerged, in agreement with RG intuition. An information-theoretical approach is used to distinguish the important parameters in two archetypical physics models. The microscopically complicated real world exhibits behavior that often yields to simple yet quantitatively accurate descriptions. Predictions are possible despite large uncertainties in microscopic parameters, both in physics and in multiparameter models in other areas of science. We connect the two by analyzing parameter sensitivities in a prototypical continuum theory (diffusion) and at a self-similar critical point (the Ising model). We trace the emergence of an effective theory for long-scale observables to a compression of the parameter space quantified by the eigenvalues of the Fisher Information Matrix. A similar compression appears ubiquitously in models taken from diverse areas of science, suggesting that the parameter space structure underlying effective continuum and universal theories in physics also permits predictive modeling more generally.
A re-evaluation of the phonological similarity effect in adults' short-term memory of words and nonwords

The phonological similarity effect (PSE) was studied in two tasks of serial recall, in one task of serial recognition and one item identification task. PSE occurred only in the former three tasks involving memory of order when study items were words and nonwords with an associative connectedness to long-term memory. Nonwords that, according to a reaction time assessment of associative value, were less well connected to long-term memory mechanisms, were not sensitive to phonological similarity. These results are discussed in relation to contemporary models of short-term memory that explain the PSE as a result of confusions of items that are similarly encoded in a phonological layer. This layer is identified as a higher-level phonological space that is accessed by words and nonwords of high associative value and not by nonwords of low associative value.
Do Older Adults Aged 60–75 Years Benefit From Diabetes Behavioral Interventions?

OBJECTIVE In this secondary analysis, we examined whether older adults with diabetes (aged 60–75 years) could benefit from self-management interventions compared with younger adults. Seventy-one community-dwelling older adults and 151 younger adults were randomized to attend a structured behavioral group, an attention control group, or one-to-one education. RESEARCH DESIGN AND METHODS We measured A1C, self-care (3-day pedometer readings, blood glucose checks, and frequency of self-care), and psychosocial factors (quality of life, diabetes distress, frustration with self-care, depression, self-efficacy, and coping styles) at baseline and 3, 6, and 12 months postintervention. RESULTS Both older (age 67 ± 5 years, A1C 8.7 ± 0.8%, duration 20 ± 12 years, 30% type 1 diabetes, 83% white, 41% female) and younger (age 47 ± 9 years, A1C 9.2 ± 1.2%, 18 ± 12 years with diabetes, 59% type 1 diabetes, 82% white, 55% female) adults had improved A1C equally over time. Importantly, older and younger adults in the group conditions improved more and maintained improvements at 12 months (older structured behavioral group change in A1C −0.72 ± 1.4%, older control group −0.65 ± 0.9%, younger behavioral group −0.55 ± 1.2%, younger control group −0.43 ± 1.7%). Furthermore, frequency of self-care, glucose checks, depressive symptoms, quality of life, distress, frustration with self-care, self-efficacy, and emotional coping improved in older and younger participants at follow-up. CONCLUSIONS The findings suggest that, compared with younger adults, older adults receive equal glycemic benefit from participating in self-management interventions. Moreover, older adults showed the greatest glycemic improvement in the two group conditions. Clinicians can safely recommend group diabetes interventions to community-dwelling older adults with poor glycemic control.
Seq-NMS for Video Object Detection

Video object detection is challenging because objects that are easily detected in one frame may be difficult to detect in another frame within the same clip. Recently, there have been major advances for doing object detection in a single image. These methods typically contain three phases: (i) object proposal generation (ii) object classification and (iii) post-processing. We propose a modification of the post-processing phase that uses high-scoring object detections from nearby frames to boost scores of weaker detections within the same clip. We show that our method obtains superior results to state-of-the-art single image object detection techniques. Our method placed 3rd in the video object detection (VID) task of the ImageNet Large Scale Visual Recognition Challenge 2015 (ILSVRC2015).
ANTIGENIC DIFFERENCES BETWEEN NORMAL AND POLYOMA VIRUS-TRANSFORMED CELLS. II. IN VITRO EVIDENCE FOR A VIRUS-INDUCED ANTIGEN.

Summary Polyoma virus-transformed hamster and mouse cells were sensitized to the killing action of complement by rabbit antisera against the transformed cells. These antisera had been previously absorbed on cells of nonpolyoma origin. The effect of such treatment was quantitated by measuring the loss of colony-forming capacity of single cells in vitro . Cells of polyoma origin were the most susceptible of those tested. One absorbed serum sensitized a polyoma-transformed mouse cell line, a hybrid cell line derived from it, but not the other parent of nonpolyoma origin. These data from in vitro experiments support the theory that transformation by polyoma virus leads to the appearance of a new cellular antigen as proposed by others on the basis of in vivo studies.
Stochastic Control of Inertial Sea Wave Energy Converter

The ISWEC (inertial sea wave energy converter) is presented, its control problems are stated, and an optimal control strategy is introduced. As the aim of the device is energy conversion, the mean absorbed power by ISWEC is calculated for a plane 2D irregular sea state. The response of the WEC (wave energy converter) is driven by the sea-surface elevation, which is modeled by a stationary and homogeneous zero mean Gaussian stochastic process. System equations are linearized thus simplifying the numerical model of the device. The resulting response is obtained as the output of the coupled mechanic-hydrodynamic model of the device. A stochastic suboptimal controller, derived from optimal control theory, is defined and applied to ISWEC. Results of this approach have been compared with the ones obtained with a linear spring-damper controller, highlighting the capability to obtain a higher value of mean extracted power despite higher power peaks.
The Design and Success of Shared Services Centres

Organisations are increasingly looking to realise the benefits of shared services yet there is little guidance available as to the best way to proceed. A framework is presented that considers the service provided, the design of the shared services centre and the organisational context it sits within. Case studies that examine the relevance of that framework and assess the performance of eleven shared services as a first step in determining what specific attributes of each dimension are important and how they should be aligned. It is concluded that there appears to be a single, broadly standard pattern of attributes for successful Shared Services Centres (SSCs). As fundamentals the SSC should aim to realise economies of scale by providing a broad range of transaction processing services using a standardised IT platform. Additional factors associated with successful SSCs include the SSC being held accountable for its results and there being an emphasis on managing the cultural change associated with the introduction of shared services. Beyond these core attributes a number of characteristics that potentially inhibit or facilitate the successful operation of SSCs have also been identified.
Are teenagers really keen digital readers? Adolescent engagement in eBook reading and the relevance of paper books today

Digital reading technologies may be intuitively appealing. They offer many possibilities, including great potential for interactivity around books, portability of whole libraries in one small reading unit, and almost instant satisfaction of demand for a particular book. Though there is limited research exploring the appeal of digital reading for contemporary adolescents, some schools in the US and Australia have already purged their stock of paper books, exclusively carrying digital books, on the assumption that digital books are more attractive to this demographic, and that transitioning to a purely digital format is progressive. In this paper data from the West Australian Study in Adolescent Book Reading (WASABR) are drawn upon to explore the current level of adolescent engagement in digital reading. Findings suggest that adolescents do not necessarily find eBook reading more appealing than reading paper books.
Differential effects of aging on spatial learning through exploratory navigation and map reading

It has been shown that abilities in spatial learning and memory are adversely affected by aging. The present study was conducted to investigate whether increasing age has equal consequences for all types of spatial learning or impacts certain types of spatial learning selectively. Specifically, two major types of spatial learning, exploratory navigation and map reading, were contrasted. By combining a neuroimaging finding that the medial temporal lobe (MTL) is especially important for exploratory navigation and a neurological finding that the MTL is susceptible to age-related atrophy, it was hypothesized that spatial learning through exploratory navigation would exhibit a greater decline in later life than spatial learning through map reading. In an experiment, young and senior participants learned locations of landmarks in virtual environments either by navigating in them in the first-person perspective or by seeing aerial views of the environments. Results showed that senior participants acquired less accurate memories of the layouts of landmarks than young participants when they navigated in the environments, but the two groups did not differ in spatial learning performance when they viewed the environments from the aerial perspective. These results suggest that spatial learning through exploratory navigation is particularly vulnerable to adverse effects of aging, whereas elderly adults may be able to maintain their map reading skills relatively well.
Electric fields in the human body due to electrostatic discharges

Electrostatic discharges (ESDs) occur when two objects at different electric potentials come close enough to arc (spark) across the gap between them. Such discharges may be either single-event or repetitive (e.g., 60 Hz). Some studies have indicated that ESDs may be a causative factor for health effects in electric utility workers. Moreover, a hypothesis has recently been forwarded imperceptible contact currents in the human body may be responsible for health effects, most notably childhood leukemia. Numerical modeling indicates that the electric fields in human tissue resulting from typical contact currents are much greater than those induced from typical exposures to electric and magnetic fields at power line frequencies. Numerical modeling is used here to compute representative spark-discharge dosimetry in a realistic human adult model. The frequency-domain scalar potential finite difference method is applied in conjunction with the Fourier transform to assess electric fields in selected regions and tissues of interest in the body. Electric fields in such tissues as subcutaneous fat (where peripheral nerves may be excited), muscle and bone marrow are of the order of kilovolts per meter in the lower arm. The pulses, however, are of short duration (/spl sim/100 ns).
Impact of a Student Success Course on Undergraduate Academic Outcomes

Both community colleges and four-year institutions offer Student Success Courses (SSCs) to promote student engagement (self-regulated learning, SRL) and performance (grades, retention, and graduation). However, little work has been done to examine the holistic impact of SSC interventions or to determine which aspects of course curriculum most impact students’ learning and achievement. This study sought to fill this gap by (a) comparing grades and retention rates of 98 diverse course takers—predominately female (86%), average age of 24 years (SD = 6 years)—with those of a matched sample of noncourse takers, and (b) exploring course takers’ SRL engagement development during the course. Comparison students were obtained through a three-step matching procedure. Results of quantitative survey and performance data analysis demonstrated significant SRL development during the course, although course takers did not outperform their matched peers with regard to grades and retention. SRL test-taking strategies were found to predict semester GPAs. Student motivation at the start of the course predicted their end-of-semester engagement with time-management and help-seeking behaviors. These findings are discussed in terms of SRL and SSC policy and curriculum.
Ellipsoidal collapse and an improved model for the number and spatial distribution of dark matter haloes

The Press–Schechter, excursion set approach allows one to make predictions about the shape and evolution of the mass function of bound objects. The approach combines the assumption that objects collapse spherically with the assumption that the initial density fluctuations were Gaussian and small. The predicted mass function is reasonably accurate, although it has fewer high-mass and more low-mass objects than are seen in simulations of hierarchical clustering. We show that the discrepancy between theory and simulation can be reduced substantially if bound structures are assumed to form from an ellipsoidal, rather than a spherical, collapse. In the original, standard, spherical model, a region collapses if the initial density within it exceeds a threshold value, δsc. This value is independent of the initial size of the region, and since the mass of the collapsed object is related to its initial size, this means that δsc is independent of final mass. In the ellipsoidal model, the collapse of a region depends on the surrounding shear field, as well as on its initial overdensity. In Gaussian random fields, the distribution of these quantities depends on the size of the region considered. Since the mass of a region is related to its initial size, there is a relation between the density threshold value required for collapse and the mass of the final object. We provide a fitting function to this δec(m) relation which simplifies the inclusion of ellipsoidal dynamics in the excursion set approach. We discuss the relation between the excursion set predictions and the halo distribution in high-resolution N-body simulations, and use our new formulation of the approach to show that our simple parametrization of the ellipsoidal collapse model represents an improvement on the spherical model on an object-by-object basis. Finally, we show that the associated statistical predictions, the mass function and the large-scale halo-to-mass bias relation, are also more accurate than the standard predictions.
Comparison of Airtraq™, McCoy™ and Macintosh laryngoscopes for endotracheal intubation in patients with cervical spine immobilisation: A randomised clinical trial

Background and Aims: The study aimed at comparing the performance of the novel optical Airtraq™ laryngoscope with the McCoy™ and conventional Macintosh laryngoscopes for ease of endotracheal intubation in patients with neck immobilisation using manual inline axial cervical spine stabilisation (MIAS) technique. Methods: Ninety consenting American Society of Anaesthesiologist's physical status I–II patients, aged 18–60 years, scheduled for various surgeries requiring tracheal intubation were randomly assigned into three groups of thirty each to undergo intubation with Macintosh, Airtraq™, or McCoy™ laryngoscope with neck immobilisation by MIAS technique. The ease of intubation based on Intubation difficulty scale (IDS) score, Cormack-Lehane grade of glottic view, optimisation manoeuvres and impact on haemodynamic parameters were recorded. Statistical analysis was performed with ANOVA and Bonferroni correction for post hoc tests. Results: All patients in three groups had a comparable demographic profile and were successfully intubated. The Airtraq™ laryngoscope significantly reduced the IDS (mean − 0.43 ± 0.81) as compared with both McCoy™ (mean − 1.63 ± 1.49, P = 0.001) and Macintosh laryngoscope (mean −2.23 ± 1.92, P < 0.001) and improved the Cormack-Lehane glottic view (77% grade 1 view and no patients with grade 3 or 4 view). There were less haemodynamic variations during laryngoscopy with the Airtraq™ compared to the Macintosh laryngoscope, but there was not between the Airtraq™ and McCoy™ laryngoscope groups. Conclusion: In patients undergoing endotracheal intubation with cervical immobilisation, Airtraq™ laryngoscope was superior to the McCoy™ and Macintosh laryngoscopes, with greater ease of intubation and lower impact on haemodynamic variables.
Effects of Acculturation and Access on Recreation Participation Among Latinos

Latinos’ utilization of natural environments in urban areas is affected by a myriad of factors, including acculturation levels and access to natural environments. This study examined the differences in access to natural environments and acculturation levels among Latinos residing in two urban communities and explored the determinants of recreation participation in natural environments. Questionnaires were randomly distributed to 392 Latino households. Descriptive statistics, parametric tests, multiple linear regressions, and binary logistic regressions were utilized in the analyses. Significant differences were found between Latinos residing in the two communities in terms of demographics, acculturation, and access to natural environments, which impacted their frequency of participation in various recreational activities. A major finding of this study was that access to natural environments significantly increases the likelihood of recreation participation. Future interventions may need to focus on increasing access to natural environments in Latino communities.
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

We introduce Bayesian Poisson Tucker decomposition (BPTD) for modeling country--country interaction event data. These data consist of interaction events of the form "country $i$ took action $a$ toward country $j$ at time $t$. " BPTD discovers overlapping country--community memberships, including the number of latent communities. In addition, it discovers directed community--community interaction networks that are specific to "topics" of action types and temporal "regimes. " We show that BPTD yields an efficient MCMC inference algorithm and achieves better predictive performance than related models. We also demonstrate that it discovers interpretable latent structure that agrees with our knowledge of international relations.