Miracle-dz/UniFAR-FTUs huggingface dataset:
The Structural Shift in the Cyclicality of the Labor Income Share for the United States . Vasco Botelho ∗ Duke University

There is a consensus that the U.S. labor share is countercyclical, reflecting the existence of insurance against unemployment risk. I document a structural change in the cyclicality of the U.S. labor share, which has become procyclical during the last three decades. I show empirically that the new procyclicality of the labor share is due to the vanishing procyclicality of labor productivity, to the increase in the volatility of real wages and to the imperfect positive comovement between real wages and average labor productivity. Theoretically, the shift in the cyclicality of the labor share is a new challenge for a large class of macroeconomic models embedded with labor hoarding and wage rigidity mechanisms. Finally, I present evidence suggesting that the shift in the cyclicality of the U.S. labor share is not due to changes in industrial composition, contrary to recent cross-country evidence.
Analysis of ICT Literacy Competence among Vocational High School Teachers

To realize learning quality in Vocational Secondary School, and to achieve educational goal, teacher competence is needed. The application of ICT Literacy in vocational secondary school is intended to upgrade teachers’ knowledge, skill and competence in ICT. This paper is aimed to describe the process of teachers’ competence adaptation to ICT integrity in learning in Vocational Secondary School. This study use descriptive method with literature study and documentation technique. The source in this study is research journal and research report book. The study result showed that teachers lack of self-confident in using ICT, and gender factor influence ICT integration in which the level of ICT literacy in male is higher than female. The group of young teachers aged 21-40 have higher level of ICT literacy compared with the older group. Demographic factor in ICT literacy competence are gender, education level and age. This study suggest that teachers enhance the ability in ICT literacy competence, increase their knowledge and knowledge creation in each aspect of ICT literacy competence.
Lewin’s Theory of Planned Change as a Strategic Resource

This department highlights change management strategies that may be successful in strategically planning and executing organizational change initiatives. With the goal of presenting practical approaches helpful to nurse leaders advancing organizational change, content includes evidence-based projects, tools, and resources that mobilize and sustain organizational change initiatives. In this article, the author explores the use of the Lewin’s Theory of Planned Change as a strategic resource to mobilize the people side of change. An overview of the theory is provided along with a discussion of its strengths, limitations, and targeted application.
Effects of Passage Number and Differentiation Protocol on the Generation of Dopaminergic Neurons from Rat Bone Marrow-Derived Mesenchymal Stem Cells

Multiple studies have demonstrated the ability of mesenchymal stem cells (MSCs) to differentiate into dopamine-producing cells, in vitro and in vivo, indicating their potential to be used in the treatment of Parkinson’s disease (PD). However, there are discrepancies among studies regarding the optimal time (i.e., passage number) and method for dopaminergic induction, in vitro. In the current study, we compared the ability of early (P4) and later (P40) passaged bone marrow-derived MSCs to differentiate into dopaminergic neurons using two growth-factor-based approaches. A direct dopaminergic induction (DDI) was used to directly convert MSCs into dopaminergic neurons, and an indirect dopaminergic induction (IDI) was used to direct MSCs toward a neuronal lineage prior to terminal dopaminergic differentiation. Results indicate that both early and later passaged MSCs exhibited positive expression of neuronal and dopaminergic markers following either the DDI or IDI protocols. Additionally, both early and later passaged MSCs released dopamine and exhibited spontaneous neuronal activity following either the DDI or IDI. Still, P4 MSCs exhibited significantly higher spiking and bursting frequencies as compared to P40 MSCs. Findings from this study provide evidence that early passaged MSCs, which have undergone the DDI, are more efficient at generating dopaminergic-like cells in vitro, as compared to later passaged MSCs or MSCs that have undergone the IDI.
Semi-Supervised Classification of Hyperspectral Images Based on Extended Label Propagation and Rolling Guidance Filtering

Semi-supervised classification methods result in higher performance for hyperspectral images, because they can utilize the relationship between unlabeled samples and labeled samples to obtain pseudo-labeled samples. However, how generating an effective training sample set is a major challenge for semi-supervised methods, In this paper, we propose a novel semi-supervised classification method based on extended label propagation (ELP) and a rolling guidance filter (RGF) called ELP-RGF, in which ELP is a new two-step process to make full use of unlabeled samples. The first step is to implement the graph-based label propagation algorithm to propagate the label information from labeled samples to the neighboring unlabeled samples. This is then followed by the second step, which uses superpixel propagation to assign the same labels to all pixels within the superpixels that are generated by the image segmentation method, so that some labels wrongly labeled by the above step can be modified. As a result, so obtained pseudo-labeled samples could be used to improve the performance of the classifier. Subsequently, an effective feature extraction method, i.e., RGF is further used to remove the noise and the small texture structures to optimize the features of the initial hyperspectral image. Finally, these produced initial labeled samples and high-confidence pseudo-labeled samples are used as a training set for support vector machine (SVM). The experimental results show that the proposed method can produce better classification performance for three widely-used real hyperspectral datasets, particularly when the number of training samples is relatively small.
Beta–Beta Bounds: Finite-Blocklength Analog of the Golden Formula

It is well known that the mutual information between two random variables can be expressed as the difference of two relative entropies that depend on an auxiliary distribution, a relation sometimes referred to as the golden formula. This paper is concerned with a finite-blocklength extension of this relation. This extension consists of two elements: 1) a finite-blocklength channel-coding converse bound by Polyanskiy and Verdú, which involves the ratio of two Neyman–Pearson <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula> functions (beta–beta converse bound); and 2) a novel beta–beta channel-coding achievability bound, expressed again as the ratio of two Neyman–Pearson <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula> functions. To demonstrate the usefulness of this finite-blocklength extension of the golden formula, the beta–beta achievability and converse bounds are used to obtain a finite-blocklength extension of Verdú’s wideband-slope approximation. The proof parallels the derivation of the latter, with the beta–beta bounds used in place of the golden formula. The beta–beta (achievability) bound is also shown to be useful in cases where the capacity-achieving output distribution is not a product distribution due to, e.g., a cost constraint or structural constraints on the codebook, such as orthogonality or constant composition. As an example, the bound is used to characterize the channel dispersion of the additive exponential-noise channel and to obtain a finite-blocklength achievability bound (the tightest to date) for multiple-input multiple-output Rayleigh-fading channels with perfect channel state information at the receiver.
Swing once more: Relating timing and tempo in expert jazz drumming

Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva. nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
Natural allelic variation of the AZI1 gene controls root growth under zinc-limiting condition

Zinc is an essential micronutrient for all living organisms and is involved in a plethora of processes including growth and development, and immunity. However, it is unknown if there is a common genetic and molecular basis underlying multiple facets of zinc function. Here we used natural variation in Arabidopsis thaliana to study the role of zinc in regulating growth. We identify allelic variation of the systemic immunity gene AZI1 as a key for determining root growth responses to low zinc conditions. We further demonstrate that this gene is important for modulating primary root length depending on the zinc and defence status. Finally, we show that the interaction of the immunity signal azelaic acid and zinc level to regulate root growth is conserved in rice. This work demonstrates that there is a common genetic and molecular basis for multiple zinc dependent processes and that nutrient cues can determine the balance of growth and immune responses in plants.
An IRT Analysis of the Reading the Mind in the Eyes Test

ABSTRACT The Reading the Mind in the Eyes Test (RMET; Baron-Cohen, Wheelwright, Hill, Raste, & Plumb, 2001), originally designed for use in clinical populations, has been used with increasing frequency as a measure of advanced social cognition in nonclinical samples (e.g., Domes, Heinriches, Michel, Berger, & Herpertz, 2007; Kidd & Castano, 2013; Mar, Oatley, Hirsh, de la Paz, & Peterson, 2006). The purpose of this research was to use item response theory to assess the ability of the RMET to detect differences at the high levels of theory of mind to be expected in neurotypical adults. Results indicate that the RMET is an easy test that fails to discriminate between individuals exhibiting high ability. As such, it is unlikely that it could adequately or reliably capture the expected effects of manipulations designed to boost ability in samples of neurotypical populations. Reported effects and noneffects from such manipulations might reflect noise introduced by inaccurate measurement; a more sensitive instrument is needed to verify the effects of manipulations to enhance theory of mind.
Inferring Shared Attention in Social Scene Videos

This paper addresses a new problem of inferring shared attention in third-person social scene videos. Shared attention is a phenomenon that two or more individuals simultaneously look at a common target in social scenes. Perceiving and identifying shared attention in videos plays crucial roles in social activities and social scene understanding. We propose a spatial-temporal neural network to detect shared attention intervals in videos and predict shared attention locations in frames. In each video frame, human gaze directions and potential target boxes are two key features for spatially detecting shared attention in the social scene. In temporal domain, a convolutional Long Short-Term Memory network utilizes the temporal continuity and transition constraints to optimize the predicted shared attention heatmap. We collect a new dataset VideoCoAtt1 from public TV show videos, containing 380 complex video sequences with more than 492,000 frames that include diverse social scenes for shared attention study. Experiments on this dataset show that our model can effectively infer shared attention in videos. We also empirically verify the effectiveness of different components in our model.
Comparison of DSM‐IV and DSM‐5 dementia criteria among older people living in a community sample

Dementia is a clinical syndrome characterized by cognitive decline and functional impairment that is now a leading cause of disability and mortality. Recently, the American Psychiatric Association introduced new criteria for the diagnosis dementia under the new label of “major neurocognitive disorder” (NCD). The new DSM‐5 diagnosis of major NCD demands evidence of significant decline in any cognitive domain in addition to functional impairment. This represents a departure from the DSM‐IV criteria for dementia, which required impairments in memory and at least one other higher cortical function. Nonetheless, it is unclear how these changes will affect the prevalence estimates of dementia in the community, and whether this will have implications for planning and policy. This study aims to determine the prevalence of dementia (DSM‐ IV) and major NCD (DSM‐5) in a community sample of older Brazilians and to evaluate the level of agreement between these 2 sets of criteria.
Changes in Clinical Trials Methodology Over Time: A Systematic Review of Six Decades of Research in Psychopharmacology

Background There have been many changes in clinical trials methodology since the introduction of lithium and the beginning of the modern era of psychopharmacology in 1949. The nature and importance of these changes have not been fully addressed to date. As methodological flaws in trials can lead to false-negative or false-positive results, the objective of our study was to evaluate the impact of methodological changes in psychopharmacology clinical research over the past 60 years. Methodology/Principal Findings We performed a systematic review from 1949 to 2009 on MEDLINE and Web of Science electronic databases, and a hand search of high impact journals on studies of seven major drugs (chlorpromazine, clozapine, risperidone, lithium, fluoxetine and lamotrigine). All controlled studies published 100 months after the first trial were included. Ninety-one studies met our inclusion criteria. We analyzed the major changes in abstract reporting, study design, participants' assessment and enrollment, methodology and statistical analysis. Our results showed that the methodology of psychiatric clinical trials changed substantially, with quality gains in abstract reporting, results reporting, and statistical methodology. Recent trials use more informed consent, periods of washout, intention-to-treat approach and parametric tests. Placebo use remains high and unchanged over time. Conclusions/Significance Clinical trial quality of psychopharmacological studies has changed significantly in most of the aspects we analyzed. There was significant improvement in quality reporting and internal validity. These changes have increased study efficiency; however, there is room for improvement in some aspects such as rating scales, diagnostic criteria and better trial reporting. Therefore, despite the advancements observed, there are still several areas that can be improved in psychopharmacology clinical trials.
Modulation of Neural Oscillatory Activity during Dynamic Face Processing

Various neuroimaging and neurophysiological methods have been used to examine neural activation patterns in response to faces. However, much of previous research has relied on static images of faces, which do not allow a complete description of the temporal structure of face-specific neural activities to be made. More recently, insights are emerging from fMRI studies about the neural substrates that underpin our perception of naturalistic dynamic face stimuli, but the temporal and spectral oscillatory activity associated with processing dynamic faces has yet to be fully characterized. Here, we used MEG and beamformer source localization to examine the spatiotemporal profile of neurophysiological oscillatory activity in response to dynamic faces. Source analysis revealed a number of regions showing enhanced activation in response to dynamic relative to static faces in the distributed face network, which were spatially coincident with regions that were previously identified with fMRI. Furthermore, our results demonstrate that perception of realistic dynamic facial stimuli activates a distributed neural network at varying time points facilitated by modulations in low-frequency power within alpha and beta frequency ranges (8–30 Hz). Naturalistic dynamic face stimuli may provide a better means of representing the complex nature of perceiving facial expressions in the real world, and neural oscillatory activity can provide additional insights into the associated neural processes.
A review of the mechanism and prophylaxis of acetyl salicylic acid-induced injury of the small intestine

Abstract Besides the preventive effect of aspirin on cerebrocardiovascular diseases, aspirin has adverse effects, especially on the gastrointestinal system and kidneys. Especially, a recent advancement in endoscopy revealed that aspirin-induced small intestinal mucosal injury is considerably higher than previously believed. However, the mechanism of this phenomenon is not clear yet. Moreover, effective prophylaxis does not exist. First, we investigated the cytotoxic effect of aspirin on the intestinal epithelial cell line in rats at a high concentration, and found that aspirin significantly decreased heat shock protein 70 expression, increased reactive oxygen species production, and increased epithelial cell apoptosis. These phenomena were prevented by the increment of heat shock protein 70 expression. Next, we investigated the effect of a lower concentration of aspirin on epithelial cell permeability, and found that aspirin significantly increased reactive oxygen species production, decreased tight junction protein expression, and increased epithelial permeability. These phenomena were suppressed by an antioxidant. Finally, we investigated the role of intestinal mucus on aspirin-induced mucosal damage using an in vivo model, and found that mucus prevented a high concentration of aspirin-induced mucosal damage. The investigation of chronic users of aspirin revealed that mucus-increasing therapy might be useful for preventing aspirin-induced small intestinal mucosal injury.
Adaptive Output Fuzzy Fault Accommodation for a Class of Uncertain Nonlinear Systems With Multiple Time Delays

This paper is concerned with the problem of robust adaptive output fuzzy tracking control for a class of uncertain nonlinear time-delayed systems with actuator failures, which include loss of effectiveness, outage, and stuck modes. First, a novel disturbance rejection filter is designed to estimate the unmeasured states and the external disturbances. Then, by using fuzzy logic systems to approximate the suitable nonlinear compound functions, the corresponding adaptive fuzzy fault-tolerant controller with the adjustable parameter updated laws is established based on back-stepping method. Furthermore, it is shown that all the closed-loop signals are bounded, and the system output tracking error can converge to a small neighborhood in the presence of parameter uncertainty, mismatched disturbance, multiple time delays, and actuator faults. Finally, simulation results are provided to illustrate the efficiency of the proposed adaptive fuzzy tracking control scheme.
The Effects of Fluency Enhancing Conditions on Sensorimotor Control of Speech in Typically Fluent Speakers: An EEG Mu Rhythm Study

Objective: To determine whether changes in sensorimotor control resulting from speaking conditions that induce fluency in people who stutter (PWS) can be measured using electroencephalographic (EEG) mu rhythms in neurotypical speakers. Methods: Non-stuttering (NS) adults spoke in one control condition (solo speaking) and four experimental conditions (choral speech, delayed auditory feedback (DAF), prolonged speech and pseudostuttering). Independent component analysis (ICA) was used to identify sensorimotor μ components from EEG recordings. Time-frequency analyses measured μ-alpha (8–13 Hz) and μ-beta (15–25 Hz) event-related synchronization (ERS) and desynchronization (ERD) during each speech condition. Results: 19/24 participants contributed μ components. Relative to the control condition, the choral and DAF conditions elicited increases in μ-alpha ERD in the right hemisphere. In the pseudostuttering condition, increases in μ-beta ERD were observed in the left hemisphere. No differences were present between the prolonged speech and control conditions. Conclusions: Differences observed in the experimental conditions are thought to reflect sensorimotor control changes. Increases in right hemisphere μ-alpha ERD likely reflect increased reliance on auditory information, including auditory feedback, during the choral and DAF conditions. In the left hemisphere, increases in μ-beta ERD during pseudostuttering may have resulted from the different movement characteristics of this task compared with the solo speaking task. Relationships to findings in stuttering are discussed. Significance: Changes in sensorimotor control related feedforward and feedback control in fluency-enhancing speech manipulations can be measured using time-frequency decompositions of EEG μ rhythms in neurotypical speakers. This quiet, non-invasive, and temporally sensitive technique may be applied to learn more about normal sensorimotor control and fluency enhancement in PWS.
Age is not a predictor of prognosis in metastatic cutaneous squamous cell carcinoma of the head and neck

Metastatic cutaneous squamous cell carcinoma of the head and neck (cHNSCC) is more common in older patients. It is postulated that the age‐related decline in immunity plays a role in cancer predisposition and prognosis. We aimed to investigate the effect of age on outcomes in cHNSCC and compare these with the outcomes of patients with cHNSCC and known immunosuppression.
Genome Reports: Contracted Genes and Dwarfed Plastome in Mycoheterotrophic Sciaphila thaidanica (Triuridaceae, Pandanales)

Abstract With a reduced need for photosynthesis, the plastome of parasitic and mycoheterotrophic plants degrades. In the tiny, fully mycoheterotrophic plant Sciaphila thaidanica, we find one of the smallest plastomes yet encountered. Its size is just 12,780 bp and it contains only 20 potentially functional housekeeping genes. Thus S. thaidanica fits the proposed model of gene loss in achlorophyllous plants. The most astonishing feature of the plastome is its extremely compact nature, with more than half of the genes having overlapping reading frames. Additionally, intergenic sequences have been reduced to a bare minimum, and the retained genes have been reduced in length both compared with the orthologous genes in another mycoheterotrophic species of Sciaphila and in the autotrophic relative Carludovica.
Pyocyanin Inhibits Chlamydia Infection by Disabling Infectivity of the Elementary Body and Disrupting Intracellular Growth

ABSTRACT The obligate intracellular bacterium Chlamydia is a widespread human pathogen that causes serious problems, including (but not limited to) infertility and blindness. Our search for novel antichlamydial metabolites from marine-derived microorganisms led to the isolation of pyocyanin, a small compound from Pseudomonas aeruginosa. Pyocyanin is an effective antichlamydial for all three Chlamydia spp. tested. It has a 50% inhibitory concentration (IC50) of 0.019 to 0.028 μM, which is comparable to the IC50 of tetracycline. At concentrations as low as 0.0039 μM, pyocyanin disables infectivity of the chlamydial elementary body (EB). At 0.5 μM or higher concentrations, the continuous presence of pyocyanin also inhibits chlamydial growth in the inclusion during later stages of the developmental cycle. Oxidative stress, a major known antimicrobial mechanism of pyocyanin, appears to be responsible only for the inhibition of bacterial growth and not for the disinfection of EBs. Pyocyanin is well-tolerated by probiotic vaginal Lactobacillus spp. Our findings suggest that pyocyanin is of therapeutic value for chlamydial infections and can serve as a valuable chemical probe for studying chlamydial biology.