Miracle-dz/UniFAR-FTUs huggingface dataset:
Lewy body and parkinsonian dementia: common, but often misdiagnosed conditions.

BACKGROUND Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) are the two most common types of dementing neurodegenerative disease after Alzheimer's disease (AD). Both of these conditions are often diagnosed late or not at all. METHODS Selective literature review. RESULTS The severe cholinergic and dopaminergic deficits that are present in both DLB and PDD produce not only motor manifestations, but also cognitive deficits, mainly in the executive and visual-constructive areas, as well as psychotic manifestations such as visual hallucinations, delusions, and agitation. The intensity of these manifestations can fluctuate markedly over the course of the day, particularly in DLB. Useful tests for differential diagnosis include magnetic resonance imaging and electroencephalography; in case of clinical uncertainty, nuclear medical procedures and cerebrospinal fluid analysis can be helpful as well. Neuropathological studies have revealed progressive alpha-synuclein aggregation in affected areas of the brain. In DLB, beta-amyloid abnormalities are often seen as well. CONCLUSION DLB should be included in the differential diagnosis of early dementia. If motor manifestations arise within one year (DLB), dopaminergic treatment should be initiated. On the other hand, patients with Parkinson's disease should undergo early screening for signs of dementia so that further diagnostic and therapeutic steps can be taken in timely fashion, as indicated. Cholinesterase inhibitors are useful for the treatment of cognitive deficits and experiential/behavioral disturbances in both DLB (off-label indication) and PDD (approved indication).
A PDE-Constrained Generalized Nash Equilibrium Problem with Pointwise Control and State Constraints

A generalized Nash equilibrium problem (GNEP) is formulated in which, in addition to pointwise constraints on both the control and state variables, the feasible sets are partially governed by the solutions of a linear elliptic partial differential equation. The decisions (optimal controls) of the players arise in their competitors optimization problems via the righthand side of the partial differential equation. The existence of a (pure strategy) Nash equilibrium for the GNEP is demonstrated via a relaxation argument under the presence of a constraint qualification. A numerical method based on a non-linear Gauss-Seidel iteration is presented and numerical results are provided.
Oncogenic mutations mimic and enhance dynamic events in the natural activation of phosphoinositide 3-kinase p110α (PIK3CA)

The p110α catalytic subunit (PIK3CA) is one of the most frequently mutated genes in cancer. We have examined the activation of the wild-type p110α/p85α and a spectrum of oncogenic mutants using hydrogen/deuterium exchange mass spectrometry (HDX-MS). We find that for the wild-type enzyme, the natural transition from an inactive cytosolic conformation to an activated form on membranes entails four distinct events. Analysis of oncogenic mutations shows that all up-regulate the enzyme by enhancing one or more of these dynamic events. We provide the first insight into the activation mechanism by mutations in the linker between the adapter-binding domain (ABD) and the Ras-binding domain (RBD) (G106V and G118D). These mutations, which are common in endometrial cancers, enhance two of the natural activation events: movement of the ABD and ABD–RBD linker relative to the rest of the catalytic subunit and breaking the C2–iSH2 interface on binding membranes. C2 domain mutants (N345K and C420R) also mimic these events, even in the absence of membranes. A third event is breaking the nSH2–helical domain contact caused by phosphotyrosine-containing peptides binding to the enzyme, which is mimicked by a helical domain mutation (E545K). Interaction of the C lobe of the kinase domain with membranes is the fourth activation event, and is potentiated by kinase domain mutations (e.g., H1047R). All mutations increased lipid binding and basal activity, even mutants distant from the membrane surface. Our results elucidate a unifying mechanism in which diverse PIK3CA mutations stimulate lipid kinase activity by facilitating allosteric motions required for catalysis on membranes.
Effects of Aroma Massage on Home Blood Pressure, Ambulatory Blood Pressure, and Sleep Quality in Middle-Aged Women with Hypertension

The purpose of this study was to evaluate the effects of aroma massage applied to middle-aged women with hypertension. The research study had a nonequivalent control group, nonsynchronized design to investigate the effect on home blood pressure (BP), ambulatory BP, and sleep. The hypertensive patients were allocated into the aroma massage group (n = 28), the placebo group (n = 28), and the no-treatment control group (n = 27). To evaluate the effects of aroma massage, the experimental group received a massage with essential oils prescribed by an aromatherapist once a week and body cream once a day. The placebo group received a massage using artificial fragrance oil once a week and body cream once a day. BP, pulse rate, sleep conditions, and 24-hour ambulatory BP were monitored before and after the experiment. There was a significant difference in home systolic blood pressure (SBP) (F = 6.71, P = 0.002) between groups after intervention. There was also a significant difference in SBP (F = 13.34, P = 0.001) and diastolic blood pressure (DBP) (F = 8.46, P = 0.005) in the laboratory between aroma massage and placebo groups. In sleep quality, there was a significant difference between groups (F = 6.75, P = 0.002). In conclusion, aroma massage may help improve patient quality of life and maintain health as a nursing intervention in daily life.
More Efficient Kernel Estimation in Nonparametric Regression with Autocorrelated Errors

We propose a modification of kernel time series regression estimators that improves efficiency when the innovation process is autocorrelated. The procedure is based on a pre-whitening transformation of the dependent variable that has to be estimated from the data. We establish the asymptotic distribution of our estimator under weak dependence conditions. It is shown that the proposed estimation procedure is more efficient than the conventional kernel method. We also provide simulation evidence to suggest that gains can be achieved in moderate sized samples.
Effect of Rapamycin Alone and in Combination with Sorafenib in an Orthotopic Model of Human Hepatocellular Carcinoma

Purpose: Novel therapeutic strategies are needed to prevent the tumor recurrence or metastasis after liver transplantation for hepatocellular carcinoma (HCC). This study was to investigate the effect of rapamycin, alone and in combination with sorafenib, on HCC in vivo. Experimental Design: Xenograft of a highly metastatic human HCC tumor (LCI-D20) was used to evaluate primary tumor growth and lung metastasis after treatment with rapamycin alone or in combination with sorafenib. Tumor cell proliferation was determined by Ki-67 immunostaining. To detect tumor cell apoptosis, the terminal deoxynucleotidyl-transferase–mediated dUTP nick-end labeling assay was used. Tumor angiogenesis was investigated by using a monoclonal anti-CD31 antibody. A vascular endothelial growth factor ELISA kit was used to measure vascular endothelial growth factor protein levels in the mice serum. Results: Rapamycin, alone and in combination with sorafenib, strongly inhibited primary tumor growth and lung metastases in LCI-D20 model. Furthermore, the combination therapy significantly enhanced the effect of antitumor on primary tumor growth compared with single treatment with either rapamycin (P < 0.001) or sorafenib (P < 0.001). Rapamycin alone inhibited HCC cell proliferation, induced apoptosis, and decreased tumor angiogenesis. Nevertheless, the combination therapy showed a significant inhibition of tumor cell proliferation (P < 0.05). Additionally, the combination therapy also further enhanced suppression of tumor cell angiogenesis compared with rapamycin treatment (P < 0.01). However, the induction of apoptosis in combination therapy group was not significantly higher than in the rapamycin-treated group (P > 0.05). Conclusions: The combination therapy of rapamycin and sorafenib could be a new and promising therapeutic approach to the treatment of HCC and prevention of HCC recurrence after liver transplantation.
Optimal Dynamic Auctions

We consider a dynamic auction problem motivated by the traditional single-leg, multi-period revenue management problem. A seller with C units to sell faces potential buyers with unit demand who arrive and depart over the course of T time periods. The time at which a buyer arrives, her value for a unit as well as the time by which she must make the purchase are private information. In this environment, we derive the revenue maximizing Bayesian incentive compatible selling mechanism.
Using impedance biosensors to distinguish the PC12 cells adhesion and differentiation

Some properties of living cells are associated with cell adhesion and cell spreading process. Traditional way to monitor cells' morphological changes is usually the use of optical microscope. Biosensors provide an alternative to automatically monitor cell adhesion and spreading process. This study utilized microelectrodes array based impedance biosensors to record cells attachment and differentiation via changes of impedance. The results were confirmed with the images of optical microscope. Based on the electrical model proposed, cell adhesion and differentiation can be clearly identified without any additional biochemical tests.
EXPERIMENTS ON THE SENSE OF BEING STARED AT: THE ELIMINATION OF POSSIBLE ARTEFACTS

For many years this phenomenon was surprisingly neglected by psychical researchers, and experimental investigations were few and far between. Nevertheless, most studies gave statistically significant positive results indicating that people really could tell when they were being looked at from behind (for reviews see Braud, Shafer & Andrews, 1993a; Sheldrake, 1994). Recent studies have also given significant positive results.
Estimating Composite Curve Number Using an Improved SCS-CN Method with Remotely Sensed Variables in Guangzhou, China

Abstract: The rainfall and runoff relationship becomes an intriguing issue as urbanization continues to evolve worldwide. In this paper, we developed a simulation model based on the soil conservation service curve number (SCS-CN) method to analyze the rainfall-runoff relationship in Guangzhou, a rapid growing metropolitan area in southern China. The SCS-CN method was initially developed by the Natural Resources Conservation Service (NRCS) of the United States Department of Agriculture (USDA), and is one of the most enduring methods for estimating direct runoff volume in ungauged catchments. In this model, the curve number (CN) is a key variable which is usually obtained by the look-up table of TR-55. Due to the limitations of TR-55 in characterizing complex urban environments and in classifying land use/cover types, the SCS-CN model cannot provide more detailed runoff information. Thus, this paper develops a method to calculate CN by using remote sensing variables, including vegetation, impervious surface, and soil (V-I-S). The specific objectives of this paper are: (1) To extract the V-I-S fraction images using Linear Spectral Mixture Analysis; (2) To obtain composite CN by incorporating vegetation types, soil types, and V-I-S fraction images; and (3) To simulate direct runoff under the scenarios with precipitation of 57mm (occurred once every five years by average) and 81mm (occurred once every ten years). Our experiment shows that the proposed method is
Reasoned action theory: Persuasion as belief-based behavior change

Almost 50 years after its inception, reasoned action theory continues to serve as a foundation for persuasion research. The popularity of the theory lies in its direct applicability to the question of how exposure to persuasive information leads to behavior change. Despite its wide use and long history, reasoned action is a dynamic theory with a number of unresolved issues. As this chapter will show, some of these issues reflect misconceptions of theoretical propositions or misuse of research recommendations, whereas others indicate opportunities for theoretical advancement. Reasoned action theory explains behavior by identifying the primary determinants of behavior and the sources of these determinant variables, and by organizing the relations between these variables. The theory is marked by a sequence of reformulations that build on one another in a developmental fashion. These are the theory of reasoned action (Fishbein & Ajzen, 1975), the theory of planned behavior (Ajzen, 1985), and the integrative model of behavioral prediction (Fishbein, 2000). The theory’s current formulation, graphically displayed in Figure 8.1. , is described as the reasoned action approach to explaining and changing behavior (Fishbein & Ajzen, 2010). In this chapter I use the term reasoned action theory to refer to the current formulation of the theory and to propositions that apply to all formulations of the theory. The objectives of this chapter are to make clear how reasoned action theory contributes to a better understanding of persuasion processes and outcomes, and to identify accomplishments of and opportunities for research in the reasoned action tradition. Because of its relevance for persuasion scholarship, I will first highlight the reasoned action hypothesis that behavior change originates from beliefs about the behavior. Next I will discuss key propositions within the historical context in which they were developed, issues related to conceptualization and operationalization of the theory’s components, and opportunities for future research. The range of issues included in this review addresses the decadeslong time frame during which persuasion scholars have explicitly used core reasoned action
Hypnotic induction is followed by state-like changes in the organization of EEG functional connectivity in the theta and beta frequency bands in high-hypnotically susceptible individuals

Altered state theories of hypnosis posit that a qualitatively distinct state of mental processing, which emerges in those with high hypnotic susceptibility following a hypnotic induction, enables the generation of anomalous experiences in response to specific hypnotic suggestions. If so then such a state should be observable as a discrete pattern of changes to functional connectivity (shared information) between brain regions following a hypnotic induction in high but not low hypnotically susceptible participants. Twenty-eight channel EEG was recorded from 12 high susceptible (highs) and 11 low susceptible (lows) participants with their eyes closed prior to and following a standard hypnotic induction. The EEG was used to provide a measure of functional connectivity using both coherence (COH) and the imaginary component of coherence (iCOH), which is insensitive to the effects of volume conduction. COH and iCOH were calculated between all electrode pairs for the frequency bands: delta (0.1–3.9 Hz), theta (4–7.9 Hz) alpha (8–12.9 Hz), beta1 (13–19.9 Hz), beta2 (20–29.9 Hz) and gamma (30–45 Hz). The results showed that there was an increase in theta iCOH from the pre-hypnosis to hypnosis condition in highs but not lows with a large proportion of significant links being focused on a central-parietal hub. There was also a decrease in beta1 iCOH from the pre-hypnosis to hypnosis condition with a focus on a fronto-central and an occipital hub that was greater in high compared to low susceptibles. There were no significant differences for COH or for spectral band amplitude in any frequency band. The results are interpreted as indicating that the hypnotic induction elicited a qualitative change in the organization of specific control systems within the brain for high as compared to low susceptible participants. This change in the functional organization of neural networks is a plausible indicator of the much theorized “hypnotic-state. ”
Creating friction: infrastructuring civic engagement in everyday life

This paper introduces the theoretical lens of the everyday to intersect and extend the emerging bodies of research on contestational design and infrastructures of civic engagement. Our analysis of social theories of everyday life suggests a design space that distinguishes 'privileged moments' of civic engagement from a more holistic understanding of the everyday as 'product-residue. ' We analyze various efforts that researchers have undertaken to design infrastructures of civic engagement along two axes: the everyday-ness of the engagement fostered (from 'privileged moments' to 'product-residue') and the underlying paradigm of political participation (from consensus to contestation). Our analysis reveals the dearth and promise of infrastructures that create friction---provoking contestation through use that is embedded in the everyday life of citizens. Ultimately, this paper is a call to action for designers to create friction.
Inbreeding depression and mixed mating in Leptosiphon jepsonii: a comparison of three populations.

BACKGROUND AND AIMS Inbreeding depression is thought to play a central role in the evolution and maintenance of cross-fertilization. Theory indicates that inbreeding depression can be purged with self-fertilization, resulting in positive feedback for the selection of selfing. Variation among populations of Leptosiphon jepsonii in the timing and rate of self-fertilization provides an opportunity to study the evolution of inbreeding depression and mating systems. In addition, the hypothesis that differences in inbreeding depression for male and female fitness can stabilize mixed mating in L. jepsonii is tested. METHODS In a growth room experiment, inbreeding depression was measured in three populations with mean outcrossing rates ranging from 0.06 to 0.69. The performance of selfed and outcrossed progeny is compared at five life history stages. To distinguish between self-incompatibility and early inbreeding depression, aborted seeds and unfertilized ovules were counted in selfed and outcrossed fruits. In one population, pollen and ovule production was quantified to estimate inbreeding depression for male and female fitness. KEY RESULTS Both prezygotic barriers and inbreeding depression limited self seed set in the most outcrossing population. Cumulative inbreeding depression ranged from 0.297 to 0.501, with the lowest value found in the most selfing population. Significant inbreeding depression for early life stages was found only in the more outcrossing populations. Inbreeding depression was not significant for pollen or ovule production. CONCLUSIONS The results provide modest support for the hypothesized relationship between inbreeding depression and mating systems. The absence of early inbreeding depression in the more selfing populations is consistent with theory on purging. Differences in male and female expression of inbreeding depression do not appear to stabilize mixed mating in L. jepsonii. The current estimates of inbreeding depression for L. jepsonii differ from those of previous studies, underscoring the effects of environmental variation on its expression.
Talking pictures: Temporal grouping and dialog-supervised person recognition

We address the character identification problem in movies and television videos: assigning names to faces on the screen. Most prior work on person recognition in video assumes some supervised data such as screenplay or handlabeled faces. In this paper, our only source of ‘supervision’ are the dialog cues: first, second and third person references (such as “I'm Jack”, “Hey, Jack! ” and “Jack left”). While this kind of supervision is sparse and indirect, we exploit multiple modalities and their interactions (appearance, dialog, mouth movement, synchrony, continuity-editing cues) to effectively resolve identities through local temporal grouping followed by global weakly supervised recognition. We propose a novel temporal grouping model that partitions face tracks across multiple shots while respecting appearance, geometric and film-editing cues and constraints. In this model, states represent partitions of the k most recent face tracks, and transitions represent compatibility of consecutive partitions. We present dynamic programming inference and discriminative learning for the model. The individual face tracks are subsequently assigned a name by learning a classifier from partial label constraints. The weakly supervised classifier incorporates multiple-instance constraints from dialog cues as well as soft grouping constraints from our temporal grouping. We evaluate both the temporal grouping and final character naming on several hours of TV and movies.
Evaluating DSGE Model Forecasts of Comovements

This paper develops and applies tools to assess multivariate aspects of Bayesian Dynamic Stochastic General Equilibrium (DSGE) model forecasts and their ability to predict comovements among key macroeconomic variables. The authors construct posterior predictive checks to evaluate the calibration of conditional and unconditional density forecasts, in addition to checks for root-mean-squared errors and event probabilities associated with these forecasts. The checks are implemented on a three-equation DSGE model as well as the Smets and Wouters (2007) model using real-time data. They find that the additional features incorporated into the Smets-Wouters model do not lead to a uniform improvement in the quality of density forecasts and prediction of comovements of output, inflation, and interest rates.
Discrepancies in categorizing rheumatoid arthritis patients by DAS-28(ESR) and DAS-28(CRP): can they be reduced?

OBJECTIVES The 28-joint disease activity score (DAS-28) guides the use of biologics in RA. The aims of this study were to investigate agreement between the ESR- and CRP-based DAS-28 definitions, and to examine how this agreement may be improved. METHODS Data were obtained from registers of early (n = 520) and established RA (n = 364) patients. Agreement over disease activity levels (remission, low, moderate and high) at baseline and 6 months, and EULAR responder status at 6 months, were assessed in the early cohort. Two alternative DAS-28(CRP) definitions, obtained through linear regression analyses at baseline in the early RA patients, were validated with 6-month data from both the cohorts. RESULTS In early RA patients, despite a high percentage of exact agreement over DAS-28 categories (88.2%), 38 (30.4%) of 125 patients with 'moderate' DAS-28(CRP) at baseline had 'high' DAS-28(ESR). This agreement was improved by modifying the DAS-28(CRP) definition, and by incorporating age and gender: e.g. in early RA patients with moderate original DAS-28(CRP), 30.4% had 'high' DAS-28(ESR), whereas 3.2% had 'low' DAS-28(ESR); following DAS-28(CRP) transformation both proportions were 6.6%. Incorporating age and gender did not improve agreement over EULAR response states. CONCLUSION The DAS-28(ESR) and DAS-28(CRP) definitions differ substantially in classifying RA patients as having moderate or high disease activity, with the ESR definition resulting in a higher proportion of high DAS-28 especially in women. Our results suggest that modifying the DAS-28(CRP) definition may improve agreement with DAS-28(ESR). There are important implications for meta-analyses and for therapy driven by DAS scores.