Miracle-dz/UniFAR-FTUs huggingface dataset:
Classic Period collapse of the Central Maya Lowlands: Insights about human–environment relationships for sustainability

The ninth century collapse and abandonment of the Central Maya Lowlands in the Yucatán peninsular region were the result of complex human–environment interactions. Large-scale Maya landscape alterations and demands placed on resources and ecosystem services generated high-stress environmental conditions that were amplified by increasing climatic aridity. Coincident with this stress, the flow of commerce shifted from land transit across the peninsula to sea-borne transit around it. These changing socioeconomic and environmental conditions generated increasing societal conflicts, diminished control by the Maya elite, and led to decisions to move elsewhere in the peninsular region rather than incur the high costs of maintaining the human–environment systems in place. After abandonment, the environment of the Central Maya Lowlands largely recovered, although altered from its state before Maya occupation; the population never recovered. This history and the spatial and temporal variability in the pattern of collapse and abandonment throughout the Maya lowlands support the case for different conditions, opportunities, and constraints in the prevailing human–environment systems and the decisions to confront them. The Maya case lends insights for the use of paleo- and historical analogs to inform contemporary global environmental change and sustainability.
A Tool for Optimizing De-identified Health Data for Use in Statistical Classification

When individual-level health data is shared in biomedical research the privacy of patients and probands must be protected. This is typically achieved with methods of data de-identification, which transform data in such a way that formal guarantees about the degree of protection from re-identification can be provided. In the process it is important to minimize loss of information to ensure that the resulting data is useful. A typical use case is the creation of predictive models for knowledge discovery and decision support, e.g. to infer diagnoses or to predict outcomes of therapies. A variety of methods have been developed which can be used to build robust statistical classifiers from de-identified data. However, they have not been tuned for practical use and they have not been implemented into mature software tools. To bridge this gap, we have extended ARX, an open source anonymization tool for health data, with several new features. We have implemented a method for optimizing the suitability of de-identified data for building statistical classifiers and a method for assessing the performance of classifiers built from de-identified data. All methods are accessible via a comprehensive graphical user interface. We have used our implementation to create logistic regression models from a patient discharge dataset for predicting the costs of hospital stays. The results show that our approach enables the creation of privacy-preserving classifiers with optimal prediction accuracy.
Updated measurements of exclusive J/ψ and ψ(2S) production cross-sections in pp collisions at √s = 7 TeV

The differential cross-section as a function of rapidity has been measured for the exclusive production of $J/\psi$ and $\psi(2S)$ mesons in proton-proton collisions at $\sqrt{s}=7$ TeV, using data collected by the LHCb experiment, corresponding to an integrated luminosity of 930 pb$^{-1}$. The cross-sections times branching fractions to two muons having pseudorapidities between 2.0 and 4.5 are measured to be $$\begin{array}{rl} \sigma_{pp\rightarrow J/\psi\rightarrow{\mu^+}{\mu^-}}(2.0<\eta_{\mu^\pm }<4.5)=&291\pm 7\pm19 {\rm \ pb},\\ \sigma_{pp\rightarrow\psi(2S)\rightarrow{\mu^+}{\mu^-}}(2.0<\eta_{\mu^\pm}<4.5)=&6.5\pm 0.9\pm 0.4 {\rm \ pb},\end{array}$$ where the first uncertainty is statistical and the second is systematic. The measurements agree with next-to-leading order QCD predictions as well as with models that include saturation effects.
Influence of Highly Distinctive Structural Properties on the Excitability of Pyramidal Neurons in Monkey Visual and Prefrontal Cortices

Whole-cell patch-clamp recordings and high-resolution 3D morphometric analyses of layer 3 pyramidal neurons in in vitro slices of monkey primary visual cortex (V1) and dorsolateral granular prefrontal cortex (dlPFC) revealed that neurons in these two brain areas possess highly distinctive structural and functional properties. Area V1 pyramidal neurons are much smaller than dlPFC neurons, with significantly less extensive dendritic arbors and far fewer dendritic spines. Relative to dlPFC neurons, V1 neurons have a significantly higher input resistance, depolarized resting membrane potential, and higher action potential (AP) firing rates. Most V1 neurons exhibit both phasic and regular-spiking tonic AP firing patterns, while dlPFC neurons exhibit only tonic firing. Spontaneous postsynaptic currents are lower in amplitude and have faster kinetics in V1 than in dlPFC neurons, but are no different in frequency. Three-dimensional reconstructions of V1 and dlPFC neurons were incorporated into computational models containing Hodgkin–Huxley and AMPA receptor and GABAA receptor gated channels. Morphology alone largely accounted for observed passive physiological properties, but led to AP firing rates that differed more than observed empirically, and to synaptic responses that opposed empirical results. Accordingly, modeling predicts that active channel conductances differ between V1 and dlPFC neurons. The unique features of V1 and dlPFC neurons are likely fundamental determinants of area-specific network behavior. The compact electrotonic arbor and increased excitability of V1 neurons support the rapid signal integration required for early processing of visual information. The greater connectivity and dendritic complexity of dlPFC neurons likely support higher level cognitive functions including working memory and planning.
Hydrodynamic Flows in Electrowetting

In the first part, I will present the hydrodynamic flows generated inside a droplet in electrowetting when an ac voltage is applied. In order to find out the characteristics and origin of the flows, we investigated the flow pattern for a sessile droplet for various conditions. A shape oscillation of a droplet was observed in the low-frequency range by a high-speed camera. The shape oscillation is responsible for the low-frequency flow. The flow at high frequency is caused by some electrohydrodynamic effect. In the second part, an experimental and theoretical work will be presented concerning the shape oscillation of sessile droplet. A set of shape mode equations is derived to describe unsteady motions of a sessile drop actuated by electrowetting. It is revealed that resonance occurs at certain frequencies and the oscillation pattern is significantly dependent on the applied AC frequencies. The domain perturbation method is used to derive the shape mode equations under the assumptions of weak viscous effect and small deformation of drop. The electrical force concentrated on the three-phase contact line is approximated as a delta function, which is decomposed and substituted into each shape mode equation as a forcing term. The theoretical results on the shape and the frequency responses are compared with experimental results, which shows a qualitative agreement. Finally, I will present a novel method to actuate oscillation of a sessile bubble or oil drop in a fluid to produce steady streaming within the fluid. This method is based on time-periodic control of the wettability of the bubble or drop by electrowetting. Jet velocity is proportional to oscillation amplitude and is greatest at natural oscillation frequencies. Analytical and numerical analyses indicate that the jet is produced by steady streaming in the Stokes layer.Copyright © 2009 by ASME
MUL1 acts in parallel to the PINK1/parkin pathway in regulating mitofusin and compensates for loss of PINK1/parkin

Parkinson's disease (PD) genes PINK1 and parkin act in a common pathway that regulates mitochondrial integrity and quality. Identifying new suppressors of the pathway is important for finding new therapeutic strategies. In this study, we show that MUL1 suppresses PINK1 or parkin mutant phenotypes in Drosophila. The suppression is achieved through the ubiquitin-dependent degradation of Mitofusin, which itself causes PINK1/parkin mutant-like toxicity when overexpressed. We further show that removing MUL1 in PINK1 or parkin loss-of-function mutant aggravates phenotypes caused by loss of either gene alone, leading to lethality in flies and degeneration in mouse cortical neurons. Together, these observations show that MUL1 acts in parallel to the PINK1/parkin pathway on a shared target mitofusin to maintain mitochondrial integrity. The MUL1 pathway compensates for loss of PINK1/parkin in both Drosophila and mammals and is a promising therapeutic target for PD. DOI: http://dx.doi. org/10.7554/eLife.01958. 001
Driving Performance of Depressed Patients who are Untreated or Receive Long-Term Antidepressant (SSRI/SNRI) Treatment

Abstract Introduction Depression is a mental disorder likely to affect everyday functions. The present study aimed to assess actual driving performance of depressed patients who were without specific antidepressant treatment or received long-term antidepressant treatment. Methods A standardized on-the-road driving test was used to assess standard deviation of lateral position (SDLP) in 3 patient groups receiving either no antidepressant treatment (with or without benzodiazepine medication) or treatment with selective serotonin/noradrenalin reuptake inhibitors for a period of 6–52 weeks. Severity of depression was assessed using Beck’s Depression Inventory and the Hamilton Depression Rating Scale. The performance of patient groups was compared to healthy controls. Results The mean SDLP of untreated and treated patients was significantly higher than that of healthy controls. Driving impairment in the long-term treated group was significantly less than in the untreated groups. SDLP was positively correlated to severity of depression across all groups. Discussion It is concluded that symptoms of depression are a major cause of driving impairment. Reductions in severity of depression through antidepressant treatment reduce severity of driving impairment.
Artificial light at night alters trophic interactions of intertidal invertebrates

Despite being globally widespread in coastal regions, the impacts of light pollution on intertidal ecosystems has received little attention. Intertidal species exhibit many night-time-dependent ecological strategies, including feeding, reproduction, orientation and predator avoidance, which are likely negatively affected by shifting light regimes, as has been observed in terrestrial and aquatic taxa. Coastal lighting may shape intertidal communities through its influence on the nocturnal foraging activity of dogwhelks (Nucella lapillus), a widespread predatory mollusc that structures biodiversity in temperate rocky shores. In the laboratory, we investigated whether the basal and foraging activity of this predator was affected by exposure to night-time lighting both in the presence and absence of olfactory predator cues (Carcinus maenas, common shore crab). Assessments of dogwhelks' behavioural responses to night-time white LED lighting were performed on individuals that had been acclimated to night-time white LED lighting conditions for 16 days and individuals that had not previously been exposed to artificial light at night. Dogwhelks acclimated to night-time lighting exhibited natural refuge-seeking behaviour less often compared to control animals, but were more likely to respond to and handle prey irrespective of whether olfactory predator cues were present. These responses suggest night-time lighting likely increased the energetic demand of dogwhelks through stress, encouraging foraging whenever food was available, regardless of potential danger. Contrastingly, whelks not acclimated under night-time lighting were more likely to respond to the presence of prey under artificial light at night when olfactory predator cues were present, indicating an opportunistic shift towards the use of visual instead of olfactory cues in risk evaluation. These results demonstrate that artificial night-time lighting influences the behaviour of intertidal fauna such that the balance of interspecific interactions involved in community structuring may be affected.
Selectivity Estimation for Fuzzy String Predicates in Large Data Sets

Many database applications have the emerging need to support fuzzy queries that ask for strings that are similar to a given string, such as "name similar to smith" and "telephone number similar to 412-0964. " Query optimization needs the selectivity of such a fuzzy predicate, i.e., the fraction of records in the database that satisfy the condition. In this paper, we study the problem of estimating selectivities of fuzzy string predicates. We develop a novel technique, called SEPIA, to solve the problem. It groups strings into clusters, builds a histogram structure for each cluster, and constructs a global histogram for the database. It is based on the following intuition: given a query string q, a preselected string p in a cluster, and a string s in the cluster, based on the proximity between q and p, and the proximity between p and s, we can obtain a probability distribution from a global histogram about the similarity between q and s. We give a full specification of the technique using the edit distance function. We study challenges in adopting this technique, including how to construct the histogram structures, how to use them to do selectivity estimation, and how to alleviate the effect of non-uniform errors in the estimation. We discuss how to extend the techniques to other similarity functions. Our extensive experiments on real data sets show that this technique can accurately estimate selectivities of fuzzy string predicates.
Perceptual and acoustic differences between authentic and acted nonverbal emotional vocalizations

Most research on nonverbal emotional vocalizations is based on actor portrayals, but how similar are they to the vocalizations produced spontaneously in everyday life? Perceptual and acoustic differences have been discovered between spontaneous and volitional laughs, but little is known about other emotions. We compared 362 acted vocalizations from seven corpora with 427 authentic vocalizations using acoustic analysis, and 278 vocalizations (139 authentic and 139 acted) were also tested in a forced-choice authenticity detection task (N = 154 listeners). Target emotions were: achievement, amusement, anger, disgust, fear, pain, pleasure, and sadness. Listeners distinguished between authentic and acted vocalizations with accuracy levels above chance across all emotions (overall accuracy 65%). Accuracy was highest for vocalizations of achievement, anger, fear, and pleasure, which also displayed the largest differences in acoustic characteristics. In contrast, both perceptual and acoustic differences between authentic and acted vocalizations of amusement, disgust, and sadness were relatively small. Acoustic predictors of authenticity included higher and more variable pitch, lower harmonicity, and less regular temporal structure. The existence of perceptual and acoustic differences between authentic and acted vocalizations for all analysed emotions suggests that it may be useful to include spontaneous expressions in datasets for psychological research and affective computing.
Gaze Compensation as a Technique for Improving Hand–Eye Coordination in Prosthetic Vision

Purpose Shifting the region-of-interest within the input image to compensate for gaze shifts (“gaze compensation”) may improve hand–eye coordination in visual prostheses that incorporate an external camera. The present study investigated the effects of eye movement on hand-eye coordination under simulated prosthetic vision (SPV), and measured the coordination benefits of gaze compensation. Methods Seven healthy-sighted subjects performed a target localization-pointing task under SPV. Three conditions were tested, modeling: retinally stabilized phosphenes (uncompensated); gaze compensation; and no phosphene movement (center-fixed). The error in pointing was quantified for each condition. Results Gaze compensation yielded a significantly smaller pointing error than the uncompensated condition for six of seven subjects, and a similar or smaller pointing error than the center-fixed condition for all subjects (two-way ANOVA, P < 0.05). Pointing error eccentricity and gaze eccentricity were moderately correlated in the uncompensated condition (azimuth: R2 = 0.47; elevation: R2 = 0.51) but not in the gaze-compensated condition (azimuth: R2 = 0.01; elevation: R2 = 0.00). Increased variability in gaze at the time of pointing was correlated with greater reduction in pointing error in the center-fixed condition compared with the uncompensated condition (R2 = 0.64). Conclusions Eccentric eye position impedes hand–eye coordination in SPV. While limiting eye eccentricity in uncompensated viewing can reduce errors, gaze compensation is effective in improving coordination for subjects unable to maintain fixation. Translational Relevance The results highlight the present necessity for suppressing eye movement and support the use of gaze compensation to improve hand–eye coordination and localization performance in prosthetic vision.
A Prospective Study on the Effect of Sport Specialization on Lower Extremity Injury Rates in High School Athletes

Background: Sport specialization is associated with an increased risk of musculoskeletal lower extremity injuries (LEIs) in adolescent athletes presenting in clinical settings. However, sport specialization and the incidence of LEIs have not been investigated prospectively in a large population of adolescent athletes. Purpose: To determine if sport specialization was associated with an increased risk of LEIs in high school athletes. Study Design: Cohort study; Level of evidence, 2. Methods: Participants (interscholastic athletes in grades 9-12) were recruited from 29 Wisconsin high schools during the 2015-2016 school year. Participants completed a questionnaire identifying their sport participation and history of LEIs. Sport specialization of low, moderate, or high was determined using a previously published 3-point scale. Athletic trainers reported all LEIs that occurred during the school year. Analyses included group proportions, odds ratios (ORs) and 95% CIs, and days lost due to injury (median and interquartile range [IQR]). Multivariate Cox proportional hazard ratios (HRs) with 95% CIs were calculated to investigate the association between the incidence of LEIs and sport specialization level. Results: A total of 1544 participants (50.5% female; mean age, 16.1 ± 1.1 years) enrolled in the study, competed in 2843 athletic seasons, and participated in 167,349 athlete-exposures. Sport specialization was classified as low (59.5%), moderate (27.1%), or high (13.4%). Two hundred thirty-five participants (15.2%) sustained a total of 276 LEIs that caused them to miss a median of 7.0 days (IQR, 2.0-22.8). Injuries occurred most often to the ankle (34.4%), knee (25.0%), and upper leg (12.7%) and included ligament sprains (40.9%), muscle/tendon strains (25.4%), and tendinitis/tenosynovitis (19.6%). The incidence of LEIs for moderate participants was higher than for low participants (HR, 1.51 [95% CI, 1.04-2.20]; P = .03). The incidence of LEIs for high participants was higher than for low participants (HR, 1.85 [95% CI, 1.12-3.06]; P = .02). Conclusion: Athletes with moderate or high sport specialization were more likely to sustain an LEI than athletes with low specialization. Sports medicine providers need to educate coaches, parents, and interscholastic athletes regarding the increased risk of LEIs for athletes who specialize in a single sport.
Effects of walking trainings on walking function among stroke survivors: a systematic review

Physical function is often compromised as a result of stroke event. Although interventions propose different strategies that seek to improve stroke survivors’ physical function, a need remains to evaluate walking training studies aimed at improving such physical function. The aim of this review was to assess the available literature that highlights the impact of walking training on enhancing walking for stroke survivors. We performed a systematic literature review of online databases – Google Scholar, PubMed, CINHAL, Cochrane Library, Scopus, and EBSCO – with the following inclusion criteria: manuscript published from 2005 to 2016, written in English, with treatment and control groups, for walking training studies aimed at improving physical function among stroke survivors. Findings indicated that walking speed, walking distance, and gait speed were the most used outcome variables for measuring improved physical function among stroke survivors. Importantly, proposed interventions involved either overground or treadmill walking trainings, if not both. Preserved locomotor improvements were not noted in all interventions at follow-up. Some interventions that used walking treadmill training augmented by auditory stimulations reported significant improvements in physical function compared with overground walking training augmented by auditory stimulations. The imperative to improve physical function among stroke survivors with physical impairment is paramount, as it allows survivors to be socially, emotionally, and physically more independent. In general, we note an insufficiency of research on the interaction between physical function and socialization among stroke survivors.