Miracle-dz/UniFAR-FTUs huggingface dataset:
GEN Model: An Alternative Approach to Deep Neural Network Models

In this paper, we introduce an alternative approach, namely GEN (Genetic Evolution Network) Model, to the deep learning models. Instead of building one single deep model, GEN adopts a genetic-evolutionary learning strategy to build a group of unit models generations by generations. Significantly different from the wellknown representation learning models with extremely deep structures, the unit models covered in GEN are of a much shallower architecture. In the training process, from each generation, a subset of unit models will be selected based on their performance to evolve and generate the child models in the next generation. GEN has significant advantages compared with existing deep representation learning models in terms of both learning effectiveness, efficiency and interpretability of the learning process and learned results. Extensive experiments have been done on diverse benchmark datasets, and the experimental results have demonstrated the outstanding performance of GEN compared with the state-of-the-art baseline methods in both effectiveness of efficiency.
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach

In spatial crowdsourcing, requesters submit their task-related locations and increase the demand of a local area. The platform prices these tasks and assigns spatial workers to serve if the prices are accepted by requesters. There exist mature pricing strategies which specialize in tackling the imbalance between supply and demand in a local market. However, in global optimization, the platform should consider the mobility of workers; that is, any single worker can be the potential supply for several areas, while it can only be the true supply of one area when assigned by the platform. The hardness lies in the uncertainty of the true supply of each area, hence the existing pricing strategies do not work. In the paper, we formally define this Global Dynamic Pricing(GDP) problem in spatial crowdsourcing. And since the objective is concerned with how the platform matches the supply to areas, we let the matching algorithm guide us how to price. We propose a MAtching-based Pricing Strategy (MAPS) with guaranteed bound. Extensive experiments conducted on the synthetic and real datasets demonstrate the effectiveness of MAPS.
The “Invisible” Maya: Minimally Mounded Residential Settlement at Itzán, Petén, Guatemala

Abstract Through analyses of data recovered at Itzán, Guatemala, this paper examines the architectural morphology and the probable functions of “invisible” building remains in the Maya Lowlands. Invisible building remains are buried, leave no surface traces, and cannot be detected during surface survey, which is the principal settlement detection technique employed by Mayanists. Data at Itzán and other sites suggest that Maya invisible buildings are a more abundant settlement category than many archaeologists have supposed.
Sex Differences in Emotion Recognition: Evidence for a Small Overall Female Superiority on Facial Disgust

Although it is widely believed that females outperform males in the ability to recognize other people’s emotions, this conclusion is not well supported by the extant literature. The current study sought to provide a strong test of the female superiority hypothesis by investigating sex differences in emotion recognition for five basic emotions using stimuli well-calibrated for individual differences assessment, across two expressive domains (face and body), and in a large sample (N = 1,022: Study 1). We also assessed the stability and generalizability of our findings with two independent replication samples (N = 303: Study 2, N = 634: Study 3). In Study 1, we observed that females were superior to males in recognizing facial disgust and sadness. In contrast, males were superior to females in recognizing bodily happiness. The female superiority for recognition of facial disgust was replicated in Studies 2 and 3, and this observation also extended to an independent stimulus set in Study 2. No other sex differences were stable across studies. These findings provide evidence for the presence of sex differences in emotion recognition ability, but show that these differences are modest in magnitude and appear to be limited to facial disgust. We discuss whether this sex difference may reflect human evolutionary imperatives concerning reproductive fitness and child care.
Cardiovascular stability and unchanged muscle sympathetic activity during xenon anaesthesia: role of norepinephrine uptake inhibition.

BACKGROUND Intraoperative hypotension is associated with increased risk of perioperative complications. The N-methyl-d-aspartate (NMDA) receptor (NMDA-R) antagonist xenon (Xe) induces general anaesthesia without impairment of cardiac output and vascular resistance. Mechanisms involved in cardiovascular stability have not been identified. METHODS Muscle sympathetic activity (MSA) (microneurography), sympathetic baroreflex gain, norepinephrine (NE) plasma concentration (high-performance liquid chromatography), anaesthetic depth (Narcotrend(®) EEG monitoring), and vital parameters were analysed in vivo during Xe mono-anaesthesia in human volunteers (n=8). In vitro, NE transporter (NET) expressing HEK293 cells and SH-SY5Y neuroblastoma cells were pre-treated with ketamine, MK-801, NMDA/glycine, or vehicle. Subsequently, cells were incubated with or without Xe (65%). NE uptake was measured by using a fluorescent NET substrate (n=4) or [(3)H]NE (n=6). RESULTS In vivo, Xe anaesthesia increased mean (standard deviation) arterial pressure from 93 (4) to 107 (6) mm Hg and NE plasma concentration from 156 (55) to 292 (106) pg ml(-1), P<0.01. MSA and baroreflex gain were unaltered. In vitro, ketamine decreased NET activity (P<0.01) in NET-expressing HEK293 cells, while Xe, MK-801, and NMDA/glycine did not. Xe reduced uptake in SH-SY5Y cells expressing NET and NMDA-Rs (P<0.01). MK-801 (P<0.01) and ketamine (P<0.01) also reduced NET activity, but NMDA/glycine blocked the effect of Xe on [(3)H]NE uptake. CONCLUSIONS In vivo, Xe anaesthesia does not alter sympathetic activity and baroreflex gain, despite increased mean arterial pressure. In vitro, Xe decreases the uptake of NE in neuronal cells by the inhibition of NET. This inhibition might be related to NMDA-R antagonism and explain increased NE concentrations at the synaptic cleft and in plasma, contributing to cardiovascular stability during Xe anaesthesia.
DeepFix: Fixing Common C Language Errors by Deep Learning

The problem of automatically fixing programming errors is a very active research topic in software engineering. This is a challenging problem as fixing even a single error may require analysis of the entire program. In practice, a number of errors arise due to programmer's inexperience with the programming language or lack of attention to detail. We call these common programming errors. These are analogous to grammatical errors in natural languages. Compilers detect such errors, but their error messages are usually inaccurate. In this work, we present an end-to-end solution, called DeepFix, that can fix multiple such errors in a program without relying on any external tool to locate or fix them. At the heart of DeepFix is a multi-layered sequence-to-sequence neural network with attention which is trained to predict erroneous program locations along with the required correct statements. On a set of 6971 erroneous C programs written by students for 93 programming tasks, DeepFix could fix 1881 (27%) programs completely and 1338 (19%) programs partially.
Object Localization and Motion Transfer learning with Capsules

Inspired by CapsNet's routing-by-agreement mechanism, with its ability to learn object properties, and by center-of-mass calculations from physics, we propose a CapsNet architecture with object coordinate atoms and an LSTM network for evaluation. The first is based on CapsNet but uses a new routing algorithm to find the objects' approximate positions in the image coordinate system, and the second is a parameterized affine transformation network that can predict future positions from past positions by learning the translation transformation from 2D object coordinates generated from the first network. We demonstrate the learned translation transformation is transferable to another dataset without the need to train the transformation network again. Only the CapsNet needs training on the new dataset. As a result, our work shows that object recognition and motion prediction can be separated, and that motion prediction can be transferred to another dataset with different object types.
Peripherally restricted cannabinoid 1 receptor agonist as a novel analgesic in cancer-induced bone pain

Abstract Many malignant cancers, including breast cancer, have a propensity to invade bones, leading to excruciating bone pain. Opioids are the primary analgesics used to alleviate this cancer-induced bone pain (CIBP) but are associated with numerous severe side effects, including enhanced bone degradation, which significantly impairs patients' quality of life. By contrast, agonists activating only peripheral CB1 receptors (CB1Rs) have been shown to effectively alleviate multiple chronic pain conditions with limited side effects, yet no studies have evaluated their role(s) in CIBP. Here, we demonstrate for the first time that a peripherally selective CB1R agonist can effectively suppress CIBP. Our studies using a syngeneic murine model of CIBP show that both acute and sustained administration of a peripherally restricted CB1R agonist, 4-{2-[-(1E)-1[(4-propylnaphthalen-1-yl)methylidene]-1H-inden-3-yl]ethyl}morpholine (PrNMI), significantly alleviated spontaneous pain behaviors in the animals. This analgesic effect by PrNMI can be reversed by a systemic administration but not spinal injection of SR141716, a selective CB1R antagonist. In addition, the cancer-induced bone loss in the animals was not exacerbated by a repeated administration of PrNMI. Furthermore, catalepsy and hypothermia, the common side effects induced by cannabinoids, were measured at the supratherapeutic doses of PrNMI tested. PrNMI induced mild sedation, yet no anxiety or a decrease in limb movements was detected. Overall, our studies demonstrate that CIBP can be effectively managed by using a peripherally restricted CB1R agonist, PrNMI, without inducing dose-limiting central side effects. Thus, targeting peripheral CB1Rs could be an alternative therapeutic strategy for the treatment of CIBP.
Preferential spinal cord volume loss in primary progressive multiple sclerosis

Background: Little is known on longer term changes of spinal cord volume (SCV) in primary progressive multiple sclerosis (PPMS). Objective: Longitudinal evaluation of SCV loss in PPMS and its correlation to clinical outcomes, compared to relapse-onset multiple sclerosis (MS) subtypes. Methods: A total of 60 MS age-, sex- and disease duration-matched patients (12 PPMS, each 24 relapsing-remitting (RRMS) and secondary progressive MS (SPMS)) were analysed annually over 6 years of follow-up. The upper cervical SCV was measured on 3D T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) images using a semi-automatic software (CORDIAL), along with the total brain volume (TBV), brain T2 lesion volume (T2LV) and Expanded Disability Status Scale (EDSS). Results: PPMS showed faster SCV loss over time than RRMS (p < 0.01) and by trend (p = 0.066) compared with SPMS. In contrast to relapse-onset MS, in PPMS SCV loss progressed independent of TBV and T2LV changes. Moreover, in PPMS, SCV was the only magnetic resonance imaging (MRI) measurement associated with EDSS increase over time (p < 0.01), as opposed to RRMS and SPMS. Conclusion: SCV loss is a strong predictor of clinical outcomes in PPMS and has shown to be faster and independent of brain MRI metrics compared to relapse-onset MS.
Diagnostic Procedures, Epidemiology and Genetic Diversity of Cryptosporidium Species in Bungoma County, Kenya

A prospective study on prevalence of Cryptosporidium and cryptosporidiosis was carried out in Bungoma County, Kenya. A total of 712 fecal samples from children up to five years of age were collected, from four Hospitals during a 30 month period covering January 2011 to June 2013. Overall prevalence of cryptosporidiosis in children was 5.06%. Genotype analysis revealed that C. hominis had the highest prevalence of 38.89% (14/36) of the isolates, 36.11% were C. parvum, while the prevalence of C. meleagridis and C.canis was 16.67% and 5.56% respectively. Cryptosporidiosis was significantly associated with diarrhea (acute/persistent /recurrent) (P=0.01 OR=1.301) and Abdominal swelling and pain (P=0.031, OR=1.56, 95%= 1.04-2.34). The results suggest that prevalence of cryptosporidiosis is comparable to other regions of the world with C. hominis being the most common species circulating in the study area followed by C. parvum and C. meleagridis in that order.
Ethnography of a parasite: A quantitative ethnographic observation of forest malaria in the Amazon basin

Aims: Malaria in the Amazon basin is persistently more prevalent among low density populations (1–4 people/ k m 2 ). Describing malaria transmission in small populations, such as ethnic minorities in the Amazon basin, living in reserves in groups that amount to 110–450 individuals, is fundamental for the implementation of adequate interventions. Here, we examine malaria transmission in a context of high prevalence in a small population of Nükak ethnicity (ethnic group n = 400 − 650 individuals, study group, n = 108 individuals) living in the peri-urban area of a city with 35 , 000 inhabitants in the Amazon basin. Methods: Using methods from behavioral ecology, we conducted a quantitative ethnography and collected data to inform of individual behavioral profiles. Individual malarial infection reports were available from the local public health offices, so each behavioral profile was associated with an epidemic profile for the past 5 years. Results: Our research shows that, in-line with current opinion, malaria among the Nükak is not associated with an occupational hazard risk and follows a holoendemic pattern, where children are most susceptible to the parasite. Parasite loads of malarial infection among the Nükak persist at much higher rates than in any other neighboring ethnicity, which indicates an association between high incidence rates and endemicity. Conclusions: We hypothesize that malarial infection in the forest follows a pattern where the parasite persists in pockets of holoendemicity, and occupational hazard risk for individuals outside those pockets is associated with behaviors that take place in the proximity of the pockets of endemicity.
Gender and diagnostic impact on everyday technology use: a differential item functioning (DIF) analysis of the Everyday Technology Use Questionnaire (ETUQ)

Abstract Background: As the use of everyday technology is increasingly important for participation in daily activities, more in-depth knowledge of everyday technology use in relation to diagnosis and gender is needed. The purpose of this study was to investigate the stability of the perceived challenge of a variety of everyday technologies across different samples of varying diagnoses including both males and females. Methods: This cross-sectional study used 643 data records from clinical and research samples, including persons with dementia or related disorders, acquired brain injury, intellectual disability, various mental or medical disorders, and adults without known diagnoses. The Everyday Technology Use Questionnaire, comprising 93 everyday technology artifacts and services (items) measuring the level of everyday technology challenge and relevance of and perceived ability to use these was used for data gathering. A two-faceted Rasch model in combination with differential item functioning (DIF) analyses were used for comparing item hierarchies across samples. Results: Only three items (3.2%) demonstrated a clinically relevant DIF by gender, and nine items (9.7%) by diagnosis. Discussion: The findings support a stable hierarchy of everyday technology challenge in home and community that can facilitate planning of an accessible and inclusive society from a technological departure point. Implications for Rehabilitation The ability to manage everyday technology is increasingly important for participation in everyday activities at home and in the community for people with and without disabilities. This study demonstrates that differences in perceived challenges in using various everyday technologies across gender and diagnosis are minimal. The findings provide evidence of no or minor systematic bias in testing when using the Everyday Technology Use Questionnaire in clinical practice and research. Empirical knowledge about the perceived challenge of specific everyday technologies of people with variations in gender or diagnosis is still sparse, hence this study can inspire practice and future research.
Distinct Hypericum perforatum L. total extracts exert different antitumour activity on erythroleukemic K562 cells

Total flower extracts of Hypericum perforatum L. obtained with 3 different solvent systems were tested on tumour cell line cultures by comparing two groups of plants harvested in different times and places. The extracts, characterized according to the spectroscopic profile and the hypericin content, were tested on the growth and apoptotic death of K562 cells, a human erythroleukemic cell line. Growth and apoptosis were analysed by viable cell count, flow cytometry, and fluorescence microscopy at 6, 24, and 48 hr of culture following 1 hr exposure to the extracts under investigation. Here, we show that Hypericum extracts are able to reduce the growth of K562 cells and induce different degrees and kinetics of apoptosis according to the group of plants of origin. Also, we highlighted interesting differences in terms of efficacy among the extracts, with some samples losing their effectiveness along the culture time and others able to maintain or even increase their efficacy. Furthermore, the data herein obtained confirm the role of non hypericin compounds that are present in different proportions in the two plant groups and in the extracts analysed.
Accelerator Mass Spectrometry (AMS) Dates Confirm Early Zea Mays in the Mississippi River Valley

Two accelerator mass spectrometry (AMS) dates obtained from samples of Zea mays from the Holding site, 11MS118, in the American Bottom near East St. Louis, Illinois, establish the presence of maize in the Mississippi Valley between 170 B.C. and A.D. 60. The dates finally establish the occurrence of Middle Woodland maize in Illinois and are the earliest dates thus far for maize east of the Mississippi River. Other reports of early Middle Woodland maize in the Midcontinent region should not be discounted unless AMS dating and other supporting information show the maize to be a contaminant at the site at which it occurs. Recent stable carbon-isotope experiments suggest that the relative contribution of maize to Middle Woodland diets is still an open question.
Impact of semantic aids on command memorization for on-body interaction and directional gestures

Previous studies have shown that spatial memory and semantic aids can help users learn and remember gestural commands. Using the body as a support to combine both dimensions has therefore been proposed, but no formal evaluations have yet been reported. In this paper, we compare an on-body interaction technique (BodyLoci) to mid-air Marking menus in a virtual reality context. We consider three levels of semantic aids: no aid, story-making, and story-making with background images. Our results show important improvement when story-making is used, especially for Marking menus (28.5% better retention). Both techniques performed similarly without semantic aids, but Marking menus outperformed BodyLoci when using them (17.3% better retention). While our study does not show a benefit in using body support, it suggests that inducing users to leverage simple learning techniques, such as story-making, can substantially improve recall, and thus make it easier to master gestural techniques. We also analyze the strategies used by the participants for creating mnemonics to provide guidelines for future work.
Influence of sex-stereotyped stimuli on the mental-rotation performance of elderly persons

ABSTRACT Background: In mental-rotation tests with cube figures as rotational objects, differences in favor of men are often found (Voyer, Voyer, & Bryden, 1995). Mental-rotation performance often declines with age (Jacewicz & Hartley, 1987), but sex differences usually remain (Herman & Bruce, 1983). Methods: In this study, male- and female-stereotyped objects were used as rotational stimuli in a mental-rotation paper and pencil test (Ruthsatz, Neuburger, Rahe, Jansen, & Quaiser-Pohl, 2017) for elderly participants (age: 57–88 years). Results: Overall, no sex differences for mental-rotation performance were found, whereas a significant interaction of sex and stimulus material revealed better performance for own-sex objects (η2 = .070). A significant negative correlation between mental-rotation performance and age could be found (r = −.384). Conclusions: It seems to be easier to perform mental-rotation with objects that persons are more familiar with. There is a decrease in mental-rotation accuracy as well as in the processing speed for the older participants.
Faster Neural Network Training with Approximate Tensor Operations

We propose a novel technique for faster DNN training which systematically applies sample-based approximation to the constituent tensor operations, i.e., matrix multiplications and convolutions. We introduce new sampling techniques, study their theoretical properties, and prove that they provide the same convergence guarantees when applied to SGD DNN training. We apply approximate tensor operations to single and multi-node training of MLP and CNN networks on MNIST, CIFAR-10 and ImageNet datasets. We demonstrate up to 66% reduction in the amount of computations and communication, and up to 1.37x faster training time while maintaining negligible or no impact on the final test accuracy.
Optogenetic Induction of Colonic Motility in Mice.

BACKGROUND & AIMS Strategies are needed to increase gastrointestinal transit without systemic pharmacologic agents. We investigated whether optogenetics, focal application of light to control enteric nervous system excitability, could be used to evoke propagating contractions and increase colonic transit in mice. METHODS We generated transgenic mice with Cre-mediated expression of light-sensitive channelrhodopsin-2 (ChR2) in calretinin neurons (CAL-ChR2 Cre+ mice); Cre- littermates served as controls. Colonic myenteric neurons were analyzed by immunohistochemistry, patch-clamp, and calcium imaging studies. Motility was assessed by mechanical, electrophysiological, and video recording in vitro and by fecal output in vivo. RESULTS In isolated colons, focal light stimulation of calretinin enteric neurons evoked classic polarized motor reflexes (50/58 stimulations), followed by premature anterograde propagating contractions (39/58 stimulations). Light stimulation could evoke motility from sites along the entire colon. These effects were prevented by neural blockade with tetrodotoxin (n = 2), and did not occur in control mice (n = 5). Light stimulation of proximal colon increased the proportion of natural fecal pellets expelled over 15 minutes in vitro (75% ± 17% vs 32% ± 8% for controls) (P < .05). In vivo, activation of wireless light-emitting diodes implanted onto the colon wall significantly increased hourly fecal pellet output in conscious, freely moving mice (4.2 ± 0.4 vs 1.3 ± 0.3 in controls) (P < .001). CONCLUSIONS In studies of mice, we found that focal activation of a subset of enteric neurons can increase motility of the entire colon in vitro, and fecal output in vivo. Optogenetic control of enteric neurons might therefore be used to modify gut motility.