Miracle-dz/UniFAR-FTUs huggingface dataset:
Functional Characterization of the Human Speech Articulation Network

A number of brain regions have been implicated in articulation, but their precise computations remain debated. Using functional magnetic resonance imaging, we examine the degree of functional specificity of articulation-responsive brain regions to constrain hypotheses about their contributions to speech production. We find that articulation-responsive regions (1) are sensitive to articulatory complexity, but (2) are largely nonoverlapping with nearby domain-general regions that support diverse goal-directed behaviors. Furthermore, premotor articulation regions show selectivity for speech production over some related tasks (respiration control), but not others (nonspeech oral-motor [NSO] movements). This overlap between speech and nonspeech movements concords with electrocorticographic evidence that these regions encode articulators and their states, and with patient evidence whereby articulatory deficits are often accompanied by oral-motor deficits. In contrast, the superior temporal regions show strong selectivity for articulation relative to nonspeech movements, suggesting that these regions play a specific role in speech planning/production. Finally, articulation-responsive portions of posterior inferior frontal gyrus show some selectivity for articulation, in line with the hypothesis that this region prepares an articulatory code that is passed to the premotor cortex. Taken together, these results inform the architecture of the human articulation system.
Obsessive-Compulsive Disorder, Body Dysmorphic Disorder, and Hypochondriasis: Three Variations on a Theme

Abstract Background: Exaggerated illness and appearance concerns and related compulsive behaviors are seen in the psychiatric disorders of hypochondriasis (HYP), body dysmorphic disorder (BDD), and obsessive-compulsive disorder (OCD). It has been argued that these conditions may cluster in clinical samples and that our current categorical diagnostic policies, which assume independence of these disorders, are arbitrary and fail to capture the dimensional nature of these disorders. Methods: We present retrospective clinical data on 21 randomly selected patients who presented with symptoms that involved anxiety about illness and appearance and who were evaluated for cognitive-behavioral treatment or pharmacotherapy. We also review the symptoms, associated features, and response to treatment of three patients from the sample who were each diagnosed with all three of these disorders (HYP, BDD, and OCD). Results: Three patients met criteria for HYP, BDD, and OCD, and the other 18 patients met criteria for at least two of the above conditions. The most frequently reported source of anxiety had to do with one's hair. Nine out of the 12 patients treated with behavioral therapy were considered to be responders, and the one treated solely with medication was “very much improved. ” Of the eight treated with a combination of behavioral therapy and medication, five were judged to be responders. Conclusions: Overlap in phenomenology, associated features, and treatment response suggests that these three disorders may be difficult to distinguish from each other and that a “cluster analysis” model may prove helpful in evaluating clinical samples.
Material Characterization and Influence of Sliding Speed and Pressure on Friction and Wear Behavior of Self-Lubricating Bearing Materials for Hydropower Applications

Nowadays, hydropower plants are forced to have more frequent power control and the self-lubricated bearings used in the applications are one of the most critical components affected by the continuously changing operating conditions. In this study, microstructure and composition of two commercially available bearing materials (Orkot TXM Marine and Thordon ThorPlas) used in hydropower turbines were studied. In addition, the influence of sliding speed and applied pressure on the friction and wear behavior of the materials was investigated systematically for dry sliding conditions. The bearing materials were characterized using X-ray microtomography, Nuclear Magnetic Resonance (NMR) spectroscopy and Inductively Coupled Plasma–Sector Field Mass Spectrometry (ICP-SFMS) techniques. Friction and wear tests were carried out with a polymer pin sliding against a stainless steel (SS2333) plate with a linear reciprocating motion. Test conditions were: room temperature, 9–28 MPa pressure and 10–40 mm/s sliding speed ranges. Surface analysis of the polymer pins and the wear tracks were performed by optical profilometry, Scanning Electron Microscope (SEM) and Energy Dispersive Spectroscopy (EDS) techniques. Test results show that, for both materials, the coefficient of friction (COF) is decreasing at higher pressures. Surface analysis reveals higher concentrations of solid lubricants in the transfer layers formed at higher pressures, explaining the decrease in COF. Furthermore, the specific wear rate coefficients are increasing at higher sliding speeds, especially at lower pressures. Results of this study demonstrate that, under dry sliding conditions, changes in sliding speed and pressure have a significant influence on the tribological behavior of these bearing materials.
A Mixed Methods Examination of Instructor Social Presence in Accelerated Online Courses

Social Presence theory seeks to explain how people present themselves as being “there” and “real” while using a communication medium. Most studies on social presence focus on how students present themselves and/or are perceived as being “there” and “real” in computer-mediated environments. However, to date, very few studies have focused on how instructors establish and maintain their own social presence in online learning environments. The following study explored the phenomenon of instructor social presence in accelerated online courses. The results suggest that the construct of presence is more complicated than previously thought and that future studies should employ multiple methods to further explore the concept of instructor social presence.
Perception of Physical Self-efficacy and Body Image among Omani Basic School Children

The purpose of the present study was to examine the perception of physical self-efficacy and body image amongst children in basic schools in Oman. Gender and grade level differences in perceptions of these two variables were also investigated. The sample comprised 359, children in the age range 12-18 years, M=15.01, SD=1.77), drawn randomly from two basic schools in Muscat Educational District in Muscat. The number of boys being 169 and the number of girls 190. Two questionnaires were administered: one on body image and the other on the perceived self-efficacy. These questionnaires have adequate reliability and validity. The results indicate significant correlation between perceived physical self-efficacy and body image for the whole sample and for boys and girls separately. No gender differences in the body image were found, but there was a difference in the perceived physical efficacy favoring boys. The results also indicate that for boys, age is positively correlated with body image and perceived physical self-efficacy; while for girls there was no significant correlation. The significance of the results was discussed in terms of objective of the study. Recommendation for future research was put forward.
Carotenoids are more bioavailable from papaya than from tomato and carrot in humans: a randomised cross-over study

Carrot, tomato and papaya represent important dietary sources of β-carotene and lycopene. The main objective of the present study was to compare the bioavailability of carotenoids from these food sources in healthy human subjects. A total of sixteen participants were recruited for a randomised cross-over study. Test meals containing raw carrots, tomatoes and papayas were adjusted to deliver an equal amount of β-carotene and lycopene. For the evaluation of bioavailability, TAG-rich lipoprotein (TRL) fractions containing newly absorbed carotenoids were analysed over 9·5 h after test meal consumption. The bioavailability of β-carotene from papayas was approximately three times higher than that from carrots and tomatoes, whereas differences in the bioavailability of β-carotene from carrots and tomatoes were insignificant. Retinyl esters appeared in the TRL fractions at a significantly higher concentration after the consumption of the papaya test meal. Similarly, lycopene was approximately 2·6 times more bioavailable from papayas than from tomatoes. Furthermore, the bioavailability of β-cryptoxanthin from papayas was shown to be 2·9 and 2·3 times higher than that of the other papaya carotenoids β-carotene and lycopene, respectively. The morphology of chromoplasts and the physical deposition form of carotenoids were hypothesised to play a major role in the differences observed in the bioavailability of carotenoids from the foods investigated. Particularly, the liquid-crystalline deposition of β-carotene and the storage of lycopene in very small crystalloids in papayas were found to be associated with their high bioavailability. In conclusion, papaya was shown to provide highly bioavailable β-carotene, β-cryptoxanthin and lycopene and may represent a readily available dietary source of provitamin A for reducing the incidence of vitamin A deficiencies in many subtropical and tropical developing countries.
Assessing the Efficiency of Phenotyping Early Traits in a Greenhouse Automated Platform for Predicting Drought Tolerance of Soybean in the Field

Conventional field phenotyping for drought tolerance, the most important factor limiting yield at a global scale, is labor-intensive and time-consuming. Automated greenhouse platforms can increase the precision and throughput of plant phenotyping and contribute to a faster release of drought tolerant varieties. The aim of this work was to establish a framework of analysis to identify early traits which could be efficiently measured in a greenhouse automated phenotyping platform, for predicting the drought tolerance of field grown soybean genotypes. A group of genotypes was evaluated, which showed variation in their drought susceptibility index (DSI) for final biomass and leaf area. A large number of traits were measured before and after the onset of a water deficit treatment, which were analyzed under several criteria: the significance of the regression with the DSI, phenotyping cost, earliness, and repeatability. The most efficient trait was found to be transpiration efficiency measured at 13 days after emergence. This trait was further tested in a second experiment with different water deficit intensities, and validated using a different set of genotypes against field data from a trial network in a third experiment. The framework applied in this work for assessing traits under different criteria could be helpful for selecting those most efficient for automated phenotyping.
Hybrid LISA for Wideband Multiuser Millimeter-Wave Communication Systems Under Beam Squint

This paper jointly addresses user scheduling and precoder/combiner design in the downlink of a wideband millimeter-wave communications system. We consider the orthogonal frequency-division multiplexing modulation to overcome the channel frequency selectivity and obtain a number of equivalent narrowband channels. Hence, the main challenge is that the analog preprocessing network is frequency flat and common to all the users at the transmitter side. Moreover, the effect of the signal bandwidth over the uniform linear array steering vectors has to be taken into account to design the hybrid precoders and combiners. The proposed algorithmic solution is based on the linear successive allocation, which greedily allocates streams to different users and computes the corresponding precoders and combiners. By taking into account the rank limitations imposed by the hardware at transmission and reception, the performance loss in terms of achievable sum rate for the hybrid approach is negligible. The numerical experiments show that the proposed method exhibits excellent performance with reasonable computational complexity.
Infections after lung transplantation: time of occurrence, sites, and microbiologic etiologies

Background/Aims Infections are major causes of both early and late death after lung transplantation (LT). The development of prophylaxis strategies has altered the epidemiology of post-LT infections; however, recent epidemiological data are limited. We evaluated infections after LT at our institution by time of occurrence, site of infections, and microbiologic etiologies. Methods All consecutive patients undergoing lung or heart-lung transplantation between October 2008 and August 2014 at our institution were enrolled. Cases of infections after LT were initially identified from the prospective registry database, which was followed by a detailed review of the patients' medical records. Results A total of 108 episodes of post-LT infections (56 bacterial, 43 viral, and nine fungal infections) were observed in 34 LT recipients. Within 1 month after LT, the most common bacterial infections were catheter-related bloodstream infections (42%). Pneumonia was the most common site of bacterial infection in the 2- to 6-month period (28%) and after 6 months (47%). Cytomegalovirus was the most common viral infection within 1 month (75%) and in the 2- to 6-month period (80%). Respiratory viruses were the most common viruses after 6 months (48%). Catheter-related candidemia was the most common fungal infection. Invasive pulmonary aspergillosis developed after 6 months. Survival rates at the first and third years were 79% and 73%, respectively. Conclusions Although this study was performed in a single center, we provide valuable and recent detailed epidemiology data for post-LT infections. A further multicenter study is required to properly evaluate the epidemiology of post-LT infections in Korea.
The AWPM-19 Family Protein OsPM1 Mediates Abscisic Acid Influx and Drought Response in Rice

OsPM1, encoded by an AWPM-19 family gene, mediates abscisic acid influx and is regulated by the transcription factor OsbZIP46 in the rice drought signaling pathway. Abscisic acid (ABA) regulates plant stress responses and development. However, how the ABA signal is transmitted in response to stresses remains largely unclear, especially in monocots. In this study, we found that rice (Oryza sativa) OsPM1 (PLASMA MEMBRANE PROTEIN1), encoded by a gene of AWPM-19 like family, mediates ABA influx through the plasma membrane. OsPM1 is predominantly expressed in vascular tissues, guard cells, and mature embryos. Phenotypic analysis of overexpression, RNA interference (RNAi), and knockout (KO) lines showed that OsPM1 is involved in drought responses and seed germination regulation. 3H-(±)ABA transport activity and fluorescence resonance energy transfer assays both demonstrated that OsPM1 facilitates ABA uptake into cells. The physiological isomer of ABA, (+)-ABA, is the preferred substrate of OsPM1. Higher ABA accumulation and faster stomatal closure in response to ABA treatment were observed in the overexpression lines compared with the wild-type control. Many ABA-responsive genes were upregulated more in the OsPM1-overexpression lines but less in the RNAi lines compared with wild-type plants. Further investigation revealed that OsPM1 expression is regulated by the AREB/ABF family transcription factor OsbZIP46. Our results thus revealed that OsPM1 is an ABA influx carrier that plays an important role in drought responses.
Are Shareholder Votes Rigged ?

In this paper, we show that since 2003 there have been 75% more shareholder proposals rejected by a margin of one percent of shares outstanding than proposals that were approved by a similarly narrow margin. As a result, there is a large and discontinuous drop in the density of voting results on these proposals exactly where the majority threshold of each proposal is located. Using counterfactual distributions, we estimate that 11% of closely-contested proposals that were eventually rejected by voters would have passed if management had not been able to systematically affect the voting results. These results confirm that management holds vast and exclusive powers over the voting process at big US corporations and imply that these powers are used by entrenched managers to block valuable improvements to corporate governance. Our findings also have important implications for empirical researchers in corporate governance who use RDD to identify causal effects of corporate governance. 1 Stockholm School of Economics & Swedish House of Finance, Drottninggatan 98, Stockholm, Sweden. E-mail: laurent.bach@hhs.se; daniel.metzger@hhs.se. We thank Alberto Allegrucci and Erik Fredriksen for outstanding research assistance. 1
Images and Recipes: Retrieval in the Cooking Context

Recent advances in the machine learning community allowed different use cases to emerge, as its association to domains like cooking which created the computational cuisine. In this paper, we tackle the picture-recipe alignment problem, having as target application the large-scale retrieval task (finding a recipe given a picture, and vice versa). Our approach is validated on the Recipe1M dataset, composed of one million image-recipe pairs and additional class information, for which we achieve state-of-the-art results.
Accelerator-Aware Pruning for Convolutional Neural Networks

Convolutional neural networks have shown tremendous performance capabilities in computer vision tasks, but their excessive amounts of weight storage and arithmetic operations prevent them from being adopted in embedded environments. One of the solutions involves pruning, where certain unimportant weights are forced to have a value of zero. Many pruning schemes have been proposed, but these have mainly focused on the number of pruned weights, scarcely considering ASIC or FPGA accelerator architectures. When a pruned network is run on an accelerator, the lack of architecture consideration causes some inefficiency problems, including the internal buffer misalignments and load imbalances. This paper proposes a new pruning scheme that reflects accelerator architectures. In the proposed scheme, pruning is performed so that the same number of weights remain for each weight group corresponding to activations fetched simultaneously. In this way, the pruning scheme resolves the inefficiency problems, doubling the accelerator performance. Even with this constraint, the proposed pruning scheme reached a pruning ratio similar to that of the previous unconstrained pruning schemes, not only on AlexNet and VGG16 but also on the state-of-the-art very deep networks, such as ResNet. Furthermore, the proposed scheme demonstrated a comparable pruning ratio on compact networks such as MobileNet and on slimmed networks that were already pruned in a channel-wise manner. In addition to improving the efficiency of previous sparse accelerators, it will be also shown that the proposed pruning scheme can be used to reduce the logic complexity of sparse accelerators.
Comparison of organic and inorganic mercury distribution in suckling rat

Thiomersal is used as a preservative in vaccines given to small children. The metabolic product of thiomersal is ethylmercury and its distribution and kinetics are still not known, especially at this early age. The purpose of this study was to compare the body distribution of two forms of mercury: organic (thiomersal) and inorganic (mercury(2+) chloride) in very young, suckling rats. Mercury was applied subcutaneously three times during the suckling period on days 7, 9 and 11 of pups age, imitating the vaccination of infants. A single dose of mercury was equimolar in both exposed groups, i.e. 0.81 µmol Hg kg−1. At 14 days of age the animals were killed and the total mercury analysed in blood and organs (kidney, liver and brain). The analytical method applied was total decomposition, amalgamation, atomic absorption spectrometry. The results showed that the level of mercury was higher in the liver and kidney of the inorganic mercury group than in the thiomersal exposed group. However, the brain and blood concentrations of mercury were higher in the thiomersal exposed group. These results need to be clarified by additional data on the kinetic pathways of ethylmercury compared with inorganic mercury. Copyright © 2006 John Wiley & Sons, Ltd.
Adjustment of College Freshmen as Predicted by Both Perceived Parenting Style and the Five Factor Model of Personality—Personality and Adjustment

The adjustment that freshmen make to college is important, and is related to student retention. The present study explored the relationships among freshmen students’ personality traits, their perceptions of the parenting styles employed by their mothers and fathers, their positive and negative adjustment, and their adaptation to college. Freshmen participants (74 men, 116 women) were from a Midwestern, religiously affiliated university. Results revealed that the relationships between parenting styles and adjustment to college, although statistically significant, were quite weak. In contrast, analyses revealed that strong relationships exist between personality traits and the adjustment that freshmen students make to college. These relationships were found to be different with regard to gender. The results have important implications for the adjustment that freshmen students make to college.
Accumulation and Erosion of Mars' South Polar Layered Deposits

Mars' polar regions are covered with ice-rich layered deposits that potentially contain a record of climate variations. The sounding radar SHARAD on the Mars Reconnaissance Orbiter mapped detailed subsurface stratigraphy in the Promethei Lingula region of the south polar plateau, Planum Australe. Radar reflections interpreted as layers are correlated across adjacent orbits and are continuous for up to 150 kilometers along spacecraft orbital tracks. The reflectors are often separated into discrete reflector sequences, and strong echoes are seen as deep as 1 kilometer. In some cases, the sequences are dipping with respect to each other, suggesting an interdepositional period of erosion. In Australe Sulci, layers are exhumed, indicating recent erosion.
Overcoming Limitations with Landsat Imagery for Mapping of Peat Swamp Forests in Sundaland

Landsat can be used to map tropical forest cover at 15–60 m resolution, which is helpful for detecting small but important perturbations in increasingly fragmented forests. However, among the remaining Landsat satellites, Landsat-5 no longer has global coverage and, since 2003, a mechanical fault in the Scan-Line Corrector (SLC-Off) of the Landsat-7 satellite resulted in a 22–25% data loss in each image. Such issues challenge the use of Landsat for wall-to-wall mapping of tropical forests, and encourage the use of alternative, spatially coarser imagery such as MODIS. Here, we describe and test an alternative method of post-classification compositing of Landsat images for mapping over 20.5 million hectares of peat swamp forest in the biodiversity hotspot of Sundaland. In order to reduce missing data to levels comparable to those prior to the SLC-Off error, we found that, for a combination of Landsat-5 images and SLC-off Landsat-7 images used to create a 2005 composite, 86% of the 58 scenes required one or two images, while 14% required three or more images. For a 2010 composite made using only SLC-Off Landsat-7 images, 64% of the scenes required one or two images and 36% required four or more images. Missing-data levels due to cloud cover and shadows in the pre SLC-Off composites (7.8% and 10.3% for 1990 and 2000 enhanced GeoCover mosaics) are comparable to the post SLC-Off composites (8.2% and 8.3% in the 2005 and 2010 composites). The area-weighted producer’s accuracy for our 2000, 2005 and 2010 composites were 77%, 85% and 86% respectively. Overall, these results show that missing-data levels, classification accuracy, and geographic coverage of Landsat composites are comparable across a 20-year period despite the SLC-Off error since 2003. Correspondingly, Landsat still provides an appreciable utility for monitoring tropical forests, particularly in Sundaland’s rapidly disappearing peat swamp forests.