Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of radiation regimes in nonrandom forest canopies: theory, measurements, and a simplified modeling approach.

We used field measurements and Monte Carlo simulations of canopy gap-size distribution and gap fraction to examine how beam radiation interacts with clumped boreal forest canopies of aspen (Populus tremuloides Michx.), black spruce (Picea mariana (Mill.) B.S.P.) and jack pine (Pinus banksiana Lamb.). We demonstrate that the Beer-Lambert law can be modified to accommodate transmission of radiation through a clumped forest canopy as a function of path length or sun zenith angle. Multiband Vegetation Imager (MVI) measurements and Monte Carlo simulations showed that values of the zenith element clumping index (Omega(e)(0)) are typically between 0.4 and 0.5 in jack pine and black spruce and 0.65 in aspen. Estimates of LAI obtained from MVI measurements of the canopy gap fraction and adjusted for canopy clumping and branch architecture yielded LAI values of 3.0 in jack pine, 3.3 in aspen, and about 6.0 in black spruce. These LAI estimates were within 10-25% of direct measurements made at the same sites. Data obtained with the MVI, along with numerical simulations, demonstrated that assumptions of random foliage distributions in boreal forests are invalid and could yield erroneous values of LAI measured by indirect techniques and false characterizations of atmosphere-biosphere interactions. Monte Carlo simulations were used to develop a general equation for beam radiation penetration as a function of zenith angle in clumped canopies. The essential measurements included stem spacing, crown diameter, crown depth, and within-crown gap fraction.
Physicochemical Characterization of Air Particulate Matter in Medellin City and Its Use in an In-silico Study of the Effect of a PM Component on Cardiac Electrical Activity

Particulate matter (PM) is considered the most severe environmental pollution problem due to its serious effects on human health associated with an increased risk of cardiovascular morbidity and mortality. One of the most polluted cities in America is Medellin. Physicochemical characterization of PM is necessary to understand its toxicology in particular cities. The goal of this work is to perform a physicochemical characterization of PM in the city of Medellin. Lead (Pb) was chosen between the major PM components to perform an in silico study of the effect of Pb on cardiac electrical activity. Results evidence the nature of the main components present in the PM and their wide range of sizes and morphologies. Pb showed a pro-arrhythmic effect on cardiac electrical activity through shortening of APD90, during normal electrophysiological conditions. In silico studies may help to better understand the mechanism of how air pollution could trigger cardiac diseases.
Ergonomic characteristics of gestures for front- and back-of-tablets interaction with grasping hands

The thumb and the fingers have different flexibility, and thus, gestures performed on the back of a held tablet are suggested to be different from ones performed on the touchscreen with the thumb of grasping hands. APIs for back-of-device gesture detection should consider that difference. In a user study, we recorded vectors for the four most common touch gestures. We found that drag, swipe, and press gestures are significantly differently when executed on the back versus on the front side of a held tablet. Corresponding values are provided that may be used to define gesture detection thresholds for back-of-tablet interaction.
Measurements of uncombined radon daughters in uranium mines.

Abstract-Uncombined fractions of radon daughters were measured in several locations in each of 6 uranium mines with a diffusion-type sampler adapted from an instrument developed by Mercer. Simultaneous measurements were obtained of radon gas concentration, working level and particle concentration. Expressed in accordance with the ICRP definition of uncombined fraction, f, values obtained ranged from 0.002 to 0.12 with more than half being less than 0.03. The higher fractions were found in fresh ventilating air uncontaminated by diesel engines or dusty operations. An inverse relationship was noted between uncombined fraction and particle concentration, which ranged from 3 x lo3 cc-l near ventilation inlets to more than lo7 cc-l in main haulageways and working stopes.
Functional Brain Network Modularity Captures Inter- and Intra-Individual Variation in Working Memory Capacity

Background Cognitive abilities, such as working memory, differ among people; however, individuals also vary in their own day-to-day cognitive performance. One potential source of cognitive variability may be fluctuations in the functional organization of neural systems. The degree to which the organization of these functional networks is optimized may relate to the effective cognitive functioning of the individual. Here we specifically examine how changes in the organization of large-scale networks measured via resting state functional connectivity MRI and graph theory track changes in working memory capacity. Methodology/Principal Findings Twenty-two participants performed a test of working memory capacity and then underwent resting-state fMRI. Seventeen subjects repeated the protocol three weeks later. We applied graph theoretic techniques to measure network organization on 34 brain regions of interest (ROI). Network modularity, which measures the level of integration and segregation across sub-networks, and small-worldness, which measures global network connection efficiency, both predicted individual differences in memory capacity; however, only modularity predicted intra-individual variation across the two sessions. Partial correlations controlling for the component of working memory that was stable across sessions revealed that modularity was almost entirely associated with the variability of working memory at each session. Analyses of specific sub-networks and individual circuits were unable to consistently account for working memory capacity variability. Conclusions/Significance The results suggest that the intrinsic functional organization of an a priori defined cognitive control network measured at rest provides substantial information about actual cognitive performance. The association of network modularity to the variability in an individual's working memory capacity suggests that the organization of this network into high connectivity within modules and sparse connections between modules may reflect effective signaling across brain regions, perhaps through the modulation of signal or the suppression of the propagation of noise.
Redox-coupled structural changes in nitrite reductase revealed by serial femtosecond and microfocus crystallography

Serial femtosecond crystallography (SFX) has enabled the damage-free structural determination of metalloenzymes and filled the gaps of our knowledge between crystallographic and spectroscopic data. Crystallographers, however, scarcely know whether the rising technique provides truly new structural insights into mechanisms of metalloenzymes partly because of limited resolutions. Copper nitrite reductase (CuNiR), which converts nitrite to nitric oxide in denitrification, has been extensively studied by synchrotron radiation crystallography (SRX). Although catalytic Cu (Type 2 copper (T2Cu)) of CuNiR had been suspected to tolerate X-ray photoreduction, we here showed that T2Cu in the form free of nitrite is reduced and changes its coordination structure in SRX. Moreover, we determined the completely oxidized CuNiR structure at 1.43 Å resolution with SFX. Comparison between the high-resolution SFX and SRX data revealed the subtle structural change of a catalytic His residue by X-ray photoreduction. This finding, which SRX has failed to uncover, provides new insight into the reaction mechanism of CuNiR.
Competing Gatekeepers

We extend the Baye and Morgan (2001) model to study competition between price comparison sites in the information market on the internet. We identify one symmetric sub-game perfect Nash equilibrium in which (1) price comparison sites set the same advertising fees; (2) the same proportion of consumers subscribe to each site; (3) each firm mixes between advertising on all sites and not advertising; and (4) advertised prices are dispersed. The introduction of additional price comparison sites may reduce social welfare and joint profits of price comparison sites. In the equilibrium with each consumer subscribing to one site, as the number of price comparison sites goes to infinity, the information market approaches that without price comparison sites.
A qPCR-Based Tool to Diagnose the Presence of Harmful Cyanobacteria and Cyanotoxins in Drinking Water Sources

Harmful cyanobacteria have been an important concern for drinking water quality for quite some time, as they may produce cyanotoxins and odorants. Microcystis and Cylindrospermopsis are two common harmful cyanobacterial genera detected in freshwater lakes and reservoirs, with microcystins (MCs) and cylindrospermopsin (CYN) as their important metabolites, respectively. In this study, two sets of duplex qPCR systems were developed, one for quantifying potentially-toxigenic Microcystis and Microcystis, and the other one for cylindrospermopsin-producing cyanobacteria and Cylindrospermopsis. The duplex qPCR systems were developed and validated in the laboratory by using 338 samples collected from 29 reservoirs in Taiwan and her offshore islands. Results show that cell numbers of Microcystis and Cylindorspermopsis enumerated with microscopy, and MCs and CYN concentrations measured with the enzyme-linked immuno-sorbent assay method, correlated well with their corresponding gene copies determined with the qPCR systems (range of coefficients of determination R2 = 0.392−0.740). The developed qPCR approach may serve as a useful tool for the water industry to diagnose the presence of harmful cyanobacteria and the potential presence of cyanotoxins in source waters.
Reliability and criterion-related validity of a new repeated agility test

The study aimed to assess the reliability and the criterion-related validity of a new repeated sprint T-test (RSTT) that includes intense multidirectional intermittent efforts. The RSTT consisted of 7 maximal repeated executions of the agility T-test with 25 s of passive recovery rest in between. Forty-five team sports players performed two RSTTs separated by 3 days to assess the reliability of best time (BT) and total time (TT) of the RSTT. The intra-class correlation coefficient analysis revealed a high relative reliability between test and retest for BT and TT (>0.90). The standard error of measurement (<0.50) showed that the RSTT has a good absolute reliability. The minimal detectable change values for BT and TT related to the RSTT were 0.09 s and 0.58 s, respectively. To check the criterion-related validity of the RSTT, players performed a repeated linear sprint (RLS) and a repeated sprint with changes of direction (RSCD). Significant correlations between the BT and TT of the RLS, RSCD and RSTT were observed (p<0.001). The RSTT is, therefore, a reliable and valid measure of the intermittent repeated sprint agility performance. As this ability is required in all team sports, it is suggested that team sports coaches, fitness coaches and sports scientists consider this test in their training follow-up.
A Proposal for a Comprehensive Grading of Parkinson's Disease Severity Combining Motor and Non-Motor Assessments: Meeting an Unmet Need

Background Non-motor symptoms are present in Parkinson's disease (PD) and a key determinant of quality of life. The Non-motor Symptoms Scale (NMSS) is a validated scale that allows quantifying frequency and severity (burden) of NMS. We report a proposal for using NMSS scores to determine levels of NMS burden (NMSB) and to complete PD patient classification. Methods This was an observational, cross-sectional international study of 935 consecutive patients. Using a distribution of NMSS scores by quartiles, a classification based on levels from 0 (no NMSB at all) to 4 (very severe NMSB) was obtained and its relation with Hoehn and Yahr (HY) staging, motor and health-related quality of life scales was analyzed. Concordance between NMSB levels and grouping based on clinician's global impression of severity, using categorical regression, was determined. Disability and HRQoL predictors were identified by multiple regression models. Results The distribution of motor and QoL scales scores by HY and NMSB levels was significantly discriminative. The difference in the classification of cases for both methods, HY and NMSB, was significant (gamma = 0.45; ASE = 0.032). Concordance between NMSB and global severity-based levels from categorical regression was 91.8%, (kappaw = 0.97). NMS score was predictor of disability and QoL. Conclusions Current clinical practice does not address a need for inclusion of non-motor scores in routine assessment of PD in spite of the overwhelming influence of NMS on disability and quality of life. Our data overcome the problems of “pure motor assessment” and we propose a combined approach with addition of NMSB levels to standard motor assessments.
Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application

We compare machine learning methods applied to a difficult real-world problem: predicting computer hard-drive failure using attributes monitored internally by individual drives. The problem is one of detecting rare events in a time series of noisy and nonparametrically-distributed data. We develop a new algorithm based on the multiple-instance learning framework and the naive Bayesian classifier (mi-NB) which is specifically designed for the low false-alarm case, and is shown to have promising performance. Other methods compared are support vector machines (SVMs), unsupervised clustering, and non-parametric statistical tests (rank-sum and reverse arrangements). The failure-prediction performance of the SVM, rank-sum and mi-NB algorithm is considerably better than the threshold method currently implemented in drives, while maintaining low false alarm rates. Our results suggest that nonparametric statistical tests should be considered for learning problems involving detecting rare events in time series data. An appendix details the calculation of rank-sum significance probabilities in the case of discrete, tied observations, and we give new recommendations about when the exact calculation should be used instead of the commonly-used normal approximation. These normal approximations may be particularly inaccurate for rare event problems like hard drive failures.
Spatiotemporal stereo via spatiotemporal quadric element (stequel) matching

Spatiotemporal stereo is concerned with the recovery of the 3D structure of a dynamic scene from a temporal sequence of multiview images. This paper presents a novel method for computing temporally coherent disparity maps from a sequence of binocular images through an integrated consideration of image spacetime structure and without explicit recovery of motion. The approach is based on matching spatiotemporal quadric elements (stequels) between views, as it is shown that this matching primitive provides a natural way to encapsulate both local spatial and temporal structure for disparity estimation. Empirical evaluation with laboratory based imagery with ground truth and more typical natural imagery shows that the approach provides considerable benefit in comparison to alternative methods for enforcing temporal coherence in disparity estimation.
Modelling human mobility patterns using photographic data shared online

Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to the Flickr photo-sharing website. Inspired by the theory of Lévy flights, which has previously been used to describe the statistical properties of human mobility, we design a machine learning algorithm to infer the probability of finding people in geographical locations and the probability of movement between pairs of locations. Our findings are in general agreement with official figures in the UK and on travel flows between pairs of major cities, suggesting that online data sources may be used to quantify and model large-scale human mobility patterns.
Learning to Play Games or Playing Games to Learn? A Health Education Case Study with Soweto Teenagers

The aim of this study was to investigate the use of an educational computer video game in teaching and learning. Cultural-historical activity theory is used heuristically to explore the social and cultural interactions during game play. It is argued that knowledge construction occurs when video games function as a tool to mediate learning rather than as instructional media. The unit of analysis is not the game as instruction but engagement with the game. Twelve 14 to 19 year old black orphans from Soweto, South Africa, participated in a case study. Groups of three participants, which included both sexes, played the game for at least six hours, kept a personal reflective journal, and after play answered a knowledge test and participated in a round-robin discussion. Results show that participants gained new knowledge, recognised that the game mediated their learning, identified the object of the activity and discussed how they might help their community. Results support the use of games as tools to mediate learning.
Magnetic Supramolecular Nanofibers of Gold Nanorods for Photothermal Therapy

Molecular aggregation triggered by physical and chemical stimuli and based on multiple noncovalent interactions has immense potential utility for modeling and mimicking biological systems and for the diagnosis and treatment of degenerative diseases. Herein the preparation, properties, and biological activities of a new type of organic–inorganic hybrid supramolecular nanofiber composed of gold nanorods, mitochondrion‐targeting‐peptide‐coated iron oxide nanoparticles, and hyaluronic‐acid (HA)‐modified β‐cyclodextrin is reported. These photothermal nanofibers, which grew along the direction of the geomagnetic field, induced severe mitochondrial damage in human adenocarcinoma cells (A549); and, more strikingly, the nanofibers greatly suppress metastasis and clear A549 cells in tumor‐bearing mice upon irradiation with a near‐infrared laser. The ability to recruit HA‐receptor‐expressing tumor cells and to target mitochondria, as well as the high photothermal conversion efficiency imparted by the gold nanorods, makes these supramolecular nanofibers a promising nanotherapy for cancer in general and metastasis‐related malignancy in particular.
The effects of omeprazole on intragastric pH, intestinal motility, and gastric emptying rate.

BACKGROUND The present study was designed to investigate whether omeprazole changes the characteristics and thereby the functions ascribed to fasting intestinal motility, postprandial motility, postprandial pH, and gastric emptying. METHODS Ten healthy subjects were investigated. The studies were performed after 10 days of treatment with 40 mg omeprazole daily/placebo. Duodenal pressures and intragastric pH were detected by strain-gauge transducers and a pH electrode attached to a miniature computer. The meal consisted of an omelette labelled with 99mTc-sulphur colloids followed by 150 ml water labelled with 111In-diethylenetriamine pentaacetic acid. RESULTS The difference in fasting intragastric pH between the two series was highly significant. The profile from the placebo series showed a relationship between phase activity and pH. The pH increased from phase I (median, 1.3; 95% confidence interval (CI), 0.9-1.6) to a maximum at 25% (1.8 (0.9-2.1)) and 50% (1.6 (1.1-3.8)) of cycle duration and decreased thereafter until the end of the cycle. The profile from the omeprazole series showed significantly higher values during the entire cycle but no relationship between phase activity and pH. Pretreatment with omeprazole was followed by a delay in gastric emptying of liquid at 30 min (64% (49%-66%) (omeprazole series) versus 78% (67%-83%); P < 0.01) and solid at 180 min (71% (48%-86%) (omeprazole series) versus 96% (87%-100%); P < 0.01). There was no significant difference in duration of postprandial motility (305 min (157-350 min) (omeprazole) versus 259 min (129-403 min)). CONCLUSIONS Omeprazole eliminates the temporal relationship between intragastric pH and characteristics of the migrating motor complex and induces a delay in gastric emptying of both liquid and solid. A non-significant increase in duration of postprandial motility may represent a type-II error.
Association between metabolic syndrome and the development of non-alcoholic fatty liver disease

The aim of this study was to examine the effects of metabolic syndrome (MS) and the number of MS components on the development of non-alcoholic fatty liver disease (NAFLD). A total of 1,343 males and 574 females aged ≥50 years without NAFLD at baseline were included. Information on lifestyle, including alcohol use and personal history, was collected by face-to-face interviews. Biochemical parameters were assayed using fasting blood samples. NAFLD was diagnosed by abdominal ultrasonography. During follow-up at an average of 4.8 years, 223 patients developed NAFLD. Following adjustment for multiple covariates, age was an independent protective predictor [hazard ratio (HR), 0.96; 95% confidence interval (CI), 0.95–0.98], while the independent risk predictors were obesity (HR, 2.81; 95% CI, 2.14–3.69), higher triglycerides (HR, 2.56; 95% CI, 1.95–3.32) and alanine aminotransferase (HR, 1.004; 95% CI, 1.000–1.008). Participants with a diagnosis of MS had a significantly increased risk of developing NAFLD (HR, 3.17; 95% CI, 2.42–4.14). A greater number of MS components was significantly associated with a higher risk of NAFLD (all adjusted P for trend <0.001). Compared with those without any components of MS, participants with only one component of MS had a 3.6-fold higher risk of developing NAFLD (adjusted HR, 3.64; 95% CI, 1.50–8.88). The diagnosis and the number of components of MS were prospectively associated with the risk of developing NAFLD. Even in those with only one component of MS, the risk increased by 2.6-fold compared with that for the individuals without any components, suggesting a beneficial effect of intervention at the very early stage of MS on the prevention of NAFLD.