Miracle-dz/UniFAR-FTUs huggingface dataset:
Overview of NTCIR-9 RITE: Recognizing Inference in TExt

This paper introduces an overview of the RITE (Recognizing Inference in TExt) task in NTCIR-9. We evaluate systems that automatically recognize entailment, paraphrase, and contradiction between two texts written in Japanese, Simplified Chinese, or Traditional Chinese. The task consists of four subtasks: Binary classification of entailment (BC); Multi-class classification including paraphrase and contradiction (MC); and two extrinsic application-oriented datasets: Entrance Exam and RITE4QA. This paper also describes how we built the test collection, evaluation metrics, and evaluation results of the submitted runs.
Static-Memory-Hard Functions and Nonlinear Space-Time Tradeoffs via Pebbling

Pebble games were originally formulated to study time-space tradeoffs in computation, modeled by games played on directed acyclic graphs (DAGs). Close connections between pebbling and cryptography have been known for decades. A series of recent research starting with (Alwen and Serbinenko, STOC 2015) has deepened our understanding of the notion of memory-hardness in cryptography --- a useful property of hash functions for deterring large-scale password-cracking attacks --- and has shown memory-hardness to have intricate connections with the theory of graph pebbling. In this work, we improve upon two main limitations of existing models of memory-hardness. First, existing measures of memory-hardness only account for dynamic (i.e., runtime) memory usage, and do not consider static memory usage. We propose a new definition of static-memory-hard function (SHF) which takes into account static memory usage and allows the formalization of larger memory requirements for efficient functions, than in the dynamic setting (where memory usage is inherently bounded by runtime). We then give two SHF constructions based on pebbling; to prove static-memory-hardness, we define a new pebble game ("black-magic pebble game"), and new graph constructions with optimal complexity under our proposed measure. Secondly, existing memory-hardness models implicitly consider linear tradeoffs between the costs of time and space. We propose a new model to capture nonlinear time-space trade-offs and prove that nonlinear tradeoffs can in fact cause adversaries to employ different strategies from linear tradeoffs. Finally, as an additional contribution of independent interest, we present the first asymptotically tight graph construction that achieves the best possible space complexity up to $\log{\log{n}}$-factors for an existing memory-hardness measure called cumulative complexity.
Split Incentives in Residential Energy Consumption

Abstract We explore two split incentive issues between owners and occupants of residential dwellings: heating or cooling incentives are suboptimal when the occupant does not pay for energy use, and insulation incentives are suboptimal when the occupant cannot perfectly observe the owner’s insulation choice. We empirically quantify the effect of these two market failures and how they affect behavior in California. We find that those who pay are 16 percent more likely to change the heating setting at night and owner-occupied dwellings are 20 percent more likely to be insulated in the attic or ceiling. However, in contrast to common conception, we find that only small overall energy savings may be possible from policy interventions aimed at correcting the split incentive issues.
Regulation of the mRNA expression for tumor necrosis factor-alpha in rat liver macrophages.

Kupffer cells are known to produce tumor necrosis factor-alpha upon stimulation with endotoxin or viruses. This tumor necrosis factor-alpha synthesis is suppressed by prostaglandin E2 or dexamethasone. Using Northern blotting and reverse transcriptase-polymerase chain reaction, it is demonstrated that endotoxin-induced tumor necrosis factor-alpha synthesis is blocked by prostaglandin E2 or dibutyryl 3':5'-cyclic adenosine monophosphate on the transcriptional level. Tumor necrosis factor-alpha itself suppressed endotoxin-evoked tumor necrosis factor-alpha mRNA expression when given in a narrow time interval with lipopolysaccharide. Interleukin-10 of human or mouse origin also inhibited the synthesis of tumor necrosis factor-alpha mRNA and protein when given more than 2 h prior to the endotoxin challenge. The suppressive effect of prostaglandin E2 lasted for more than 36 h while IL-10 blocked tumor necrosis factor-alpha production for barely 24 h. Dexamethasone reduced the endotoxin-induced tumor necrosis factor-alpha mRNA formation by approximately 50% only, although it led to nearly complete inhibition of the synthesis of the mature protein. Taken together with reverse transcriptase-polymerase chain reaction data revealing significant amounts of tumor necrosis factor-alpha mRNA in resting Kupffer cells, an additional posttranscriptional regulation of tumor necrosis factor-alpha synthesis has to be assumed. Tumor necrosis factor-alpha mRNA was not induced by interferon-gamma, interleukin-1 beta or interleukin-6 (the latter two cytokines are also synthesized by Kupffer cells), but a 24-h prestimulation of liver macrophages with interferon-gamma or phorbol ester had a modest priming effect. (ABSTRACT TRUNCATED AT 250 WORDS)
Homeostatic synaptic scaling: molecular regulators of synaptic AMPA-type glutamate receptors

The ability of neurons and circuits to maintain their excitability and activity levels within the appropriate dynamic range by homeostatic mechanisms is fundamental for brain function. Neuronal hyperactivity, for instance, could cause seizures. One such homeostatic process is synaptic scaling, also known as synaptic homeostasis. It involves a negative feedback process by which neurons adjust (scale) their postsynaptic strength over their whole synapse population to compensate for increased or decreased overall input thereby preventing neuronal hyper- or hypoactivity that could otherwise result in neuronal network dysfunction. While synaptic scaling is well-established and critical, our understanding of the underlying molecular mechanisms is still in its infancy. Homeostatic adaptation of synaptic strength is achieved through upregulation (upscaling) or downregulation (downscaling) of the functional availability of AMPA-type glutamate receptors (AMPARs) at postsynaptic sites. Understanding how synaptic AMPARs are modulated in response to alterations in overall neuronal activity is essential to gain valuable insights into how neuronal networks adapt to changes in their environment, as well as the genesis of an array of neurological disorders. Here we discuss the key molecular mechanisms that have been implicated in tuning the synaptic abundance of postsynaptic AMPARs in order to maintain synaptic homeostasis.
Affect and pain in rheumatoid arthritis: Do individual differences in affective regulation and affective intensity predict emotional recovery from pain?

Background: Individual differences in adaptation to rheumatoid arthritis are not fully accounted for by illness severity or duration of symptoms.Purpose: In this study, we assessed differences in affect regulation and affect intensity as variables that might be important for identifying women with rheumatoid arthritis who are resilient versus those who have disrupted moods following pain exacerbations.Method: Specifically, affective regulation, affect intensity, active coping, neuroticism and weekly reports of pain, positive affect, and negative affect were assessed in a sample of 81 women diagnosed with rheumatoid arthritis.Results: Our results indicated that affective regulation, affect intensity, and active coping played important but distinct roles in the ebb and flow of negative and positive affect. In particular, active coping was related to positive affect, whereas affective regulation and affect intensity showed interactive effects, moderating the prospective relationship between pain and negative affect and pain and positive affect.Conclusion: Overall, this study suggests that recovery from rheumatoid arthritis pain can be swift, except for those women who have difficulty regulating strong unpleasant affect.
Aerodynamic evaluation of the empty nose syndrome by means of computational fluid dynamics

Abstract The potential outcome of a surgical enlargement of internal nasal channels may be a complication of nasal breathing termed the Empty Nose Syndrome (ENS). ENS pathophysiology is not entirely understood because the expansion of air pathways would in theory ease inhalation. The present contribution is aimed at defining the biophysical markers responsible for ENS. Our study, conducted in silico, compares nasal aerodynamics in pre- and post-operative geometries acquired by means of computer tomography from the same individual. In this article, we elucidate and analyse the deviation of airflow patterns and nasal microclimate from the healthy benchmarks. The analysis reveals 53% reduction in flow resistance, radical re-distribution of nasal airflow, as well as dryer and colder nasal microclimate for the post-operative case.
Socioeconomic status and perceptions of access and safety for physical activity

Background: Environmental factors may play an important role on influencing physical activity (PA) behaviors.Purpose: Perceptions of access and safety for PA were compared among residents who were stratified as low or high in socioeconomic status (SES). Methods: Residents of a U.S. southeastern county (N = 1,194, 18–96 years of age) were contacted using a random-digit-dial method and asked about neighborhood and community environmental supports for PA. A Geographic Information System (GIS) was used to identify trails, sidewalks, public recreation facilities, and violent crime incidents.Results: A cluster analysis identified 10 census tracts as low SES and 11 census tracts as high SES (median household income, owner-occupied houses). More African Americans (66.5%) than Whites (33.5%) were classified as living in low-SES areas. Respondents from low-SES areas also reported engaging in less PA based on Centers for Disease Control and Prevention and American College of Sports Medicine recommendations than respondents from high-SES areas (p < .05). Respondents from low-SES (vs. high-SES) areas reported higher perceptions of neighborhood crime, unattended dogs, unpleasantness of neighborhoods, untrustworthy neighbors, and less access to public recreation facilities (ps < .05). GIS data for presence of sidewalks, recreation facilities, and crime did not support these differences in perceptions; however, respondents from low-SES (vs. high-SES) areas had substantially fewer trails. Having and using trails in one’s community predicted sufficient PA and walking for 150 min/week for low-SES respondents but not for high SES respondents (ps = .05, adjusted for covariates). Conclusions: Having access to trails is an important environmental feature among low-SES communities and should be the focus of future community-based PA interventions.
EUS-FNA contribution in the identification of autoimmune pancreatitis: a case report.

CONTEXT Autoimmune pancreatitis is a benign inflammatory disease of the pancreas which mimics pancreatic malignancy both clinically and radiologically. Autoimmune pancreatitis is presented as a diffuse enlargement of the pancreas and as a diffuse irregular narrowing of the main pancreatic duct. CASE REPORT We report the endoscopic-ultrasound-guided (EUS-guided) fine needle aspiration (FNA) cytology features of a case with autoimmune pancreatitis. A 24-year-old woman with diabetes mellitus was admitted to our hospital after having painless jaundice for 15 days. She denied any alcohol consumption. The biochemical profile showed a marked elevation of bilirubin and hyperglycemia while gamma-GT and CA 19-9 levels were increased fivefold. The immunologic profile of the patient was negative. EUS revealed diffuse hypoechoic pancreatic enlargement (sausage-like appearance of the pancreas). EUS-FNA was performed and the smears were rich in inflammatory cells (mainly lymphoplasmacytes) with sparse epithelial cells lacking atypia, elements which show a strong correlation between the histopathological and cytological findings. The patient underwent steroid therapy which led to resolution of the clinical symptoms and imaging abnormalities within a month. CONCLUSION The FNA-cytology findings in conjunction with clinical and EUS findings could potentially establish a diagnosis of autoimmune pancreatitis and exclude carcinoma, thus preventing pancreatic resection.
`Quantal' Ca2+ release at the cytoplasmic aspect of the Ins(1,4,5)P3R channel in smooth muscle

Smooth muscle responds to activation of the inositol (1,4,5)-trisphosphate receptor [Ins(1,4,5)P3R] with a graded concentration-dependent (`quantal') Ca2+ release from the sarcoplasmic reticulum (SR) store. Graded release seems incompatible both with the finite capacity of the store and the Ca2+-induced Ca2+ release (CICR)-like facility, at Ins(1,4,5)P3Rs, that, once activated, should release the entire content of SR Ca2+. The structural organization of the SR and the regulation of Ins(1,4,5)P3R activity by inositol (1,4,5)-trisphosphate [Ins(1,4,5)P3] and Ca2+ have each been proposed to explain `quantal' Ca2+ release. Here, we propose that regulation of Ins(1,4,5)P3R activity by lumenal Ca2+ acting at the cytoplasmic aspect of the receptor might explain `quantal' Ca2+ release in smooth muscle. The entire SR store was found to be lumenally continuous and Ca2+ could diffuse freely throughout: peculiarities of SR structure are unlikely to account for `quantal' release. While Ca2+ release was regulated by [Ca2+] within the SR, the velocity of release increased (accelerated) during the release process. The extent of acceleration of release determined the peak cytoplasmic [Ca2+] and was attenuated by a reduction in SR [Ca2+] or an increase in cytoplasmic Ca2+ buffering. Positive feedback by released Ca2+ acting at the cytoplasmic aspect of Ins(1,4,5)P3Rs (i.e. CICR-like) might (a) account for the acceleration, (b) provide the regulation of release by SR [Ca2+] and (c) explain the `quantal' release process itself. During Ca2+ release, SR [Ca2+] and thus unitary Ins(1,4,5)P3R currents decline, CICR reduces and stops. With increasing [Ins(1,4,5)P3], coincidental activation of several neighbouring Ins(1,4,5)P3Rs offsets the reduced Ins(1,4,5)P3R current to renew CICR and Ca2+ release.
Generation and evaluation of synthetic models for training people detectors

There is a large demand in the area of video-surveillance, especially in people detection, which has caused a large increase in the number of researches and resources in this field. As training images and annotations are not always available, it is important to consider the cost involved in creating the detector models. For example, for elderly people detection, the detector must have into account different positions such as standing, sitting, in a wheelchair, etc. Therefore, this work has the main objective of reducing the amount of resources needed to generate the detection model, saving the cost of having to record new sequences and generate the associated annotations for a detector training. To achieve this, three synthetic image datasets have been created in order to train three different models, evaluating which model is optimal and finally analyzing its feasibility by comparing it with a people detector for wheelchair users trained with real images. Other people detection scenarios in which this technique could be applied are, for example, people riding horses or motorbikes, or people carrying supermarket carts. The synthetic datasets have been generated by combining images of standing people with wheelchair images, combining image patches, and segmenting sections of people (trunk, legs, etc.) to add them to the wheelchair image. As expected, the obtained results have a reduction of efficiency (between 21 and 25%) in exchange for the enormous saving in human annotation and resources to record real images.
Diabetes is associated with risk of postoperative cognitive dysfunction: A meta‐analysis

Postoperative cognitive dysfunction (POCD) occurs frequently after surgery, particularly among older people. Diabetes, chronic hyperglycemia, and a history of hypoglycemia are related to cognitive impairment, but little is known about their roles in POCD. Here, we estimated their associations with risk of POCD on the basis of published epidemiological research.
Fennec dust forecast intercomparison over the Sahara in June 2011

In the framework of the Fennec international programme , a field campaign was conducted in June 2011 over the western Sahara. It led to the first observational data set ever obtained that documents the dynamics, thermodynam-ics and composition of the Saharan atmospheric boundary layer (SABL) under the influence of the heat low. In support to the aircraft operation, four dust forecasts were run daily at low and high resolutions with convection-parameterizing and convection-permitting models, respectively. The unique airborne and ground-based data sets allowed the first ever intercomparison of dust forecasts over the western Sahara. At monthly scale, large aerosol optical depths (AODs) were forecast over the Sahara, a feature observed by satellite retrievals but with different magnitudes. The AOD intensity was correctly predicted by the high-resolution models, while it was underestimated by the low-resolution models. This was partly because of the generation of strong near-surface wind associated with thunderstorm-related density currents that could only be reproduced by models representing con-vection explicitly. Such models yield emissions mainly in the afternoon that dominate the total emission over the western fringes of the Adrar des Iforas and the Air Mountains in the high-resolution forecasts. Over the western Sahara, where the harmattan contributes up to 80 % of dust emission, all the models were successful in forecasting the deep well-mixed SABL. Some of them, however, missed the large near-surface dust concentration generated by density currents and low-level winds. This feature, observed repeatedly by the airborne lidar, was partly forecast by one high-resolution model only.
Alkaline protease contributes to pyocyanin production in Pseudomonas aeruginosa

Abstract The role of the alkaline protease (AprA) in pyocyanin production in Pseudomonas aeruginosa was investigated. AprA was overproduced when a plasmid carrying the aprA gene was introduced to an aprA‐deletion mutant strain, EG03; thus, aprA‐complemented EG03 was used as an overproducing strain. The complemented strain produced higher pyocyanin than the mutant strain in all commercially available media evaluated. Particularly, pyocyanin production was higher in the complemented than in the parental strain in brain‐heart infusion and tryptic soy broths. These results suggested that protein degradation products by AprA were utilized for pyocyanin production. Protein‐rich media were used in subsequent validation studies. Similar results were obtained when the basal medium was supplemented with casein or skim milk as the sole organic nitrogen source. However, gelatin failed to induce abundant pyocyanin production in the complemented strain, despite the presence of protein degradation products by AprA as assessed by SDS‐PAGE. Thus, gelatin degradation products may not be suitable for pyocyanin synthesis. In conclusion, AprA could contribute to pyocyanin production in the presence of several proteins or peptides.
A Monte Carlo approach for determining cluster evaporation rates from concentration measurements

Abstract. Evaporation rates of small negatively charged sulfuric acid–ammonia clusters are determined by combining detailed cluster formation simulations with cluster distributions measured in the CLOUD experiment at CERN. The analysis is performed by varying the evaporation rates with Markov chain Monte Carlo (MCMC), running cluster formation simulations with each new set of evaporation rates and comparing the obtained cluster distributions to the measurements. In a second set of simulations, the fragmentation of clusters in the mass spectrometer due to energetic collisions is studied by treating also the fragmentation probabilities as unknown parameters and varying them with MCMC. This second set of simulations results in a better fit to the experimental data, suggesting that a large fraction of the observed HSO4− and HSO4− ⋅ H2SO4 signals may result from fragmentation of larger clusters, most importantly the HSO4− ⋅ (H2SO4)2 trimer.
Mechanical Properties of Paricá Wood Using Structural Members and Clear Specimens

The aim of this research is determining mechanical properties of Parica wood specie (Schizolobium amazonicum Herb) using structural and clear specimens, according to Brazilian standard ABNT NBR 7190 requirements. Parica wood specie in structural members, with moisture content of around 12%, were determined dynamic elasticity modulus (transverse vibration tests), static bending modulus (three point bending) and modulus of rupture in static bending test. In clear specimens, according to Brazilian standard were determined compression, shear, embedment and tension parallel to the grain, and the elasticity modulus in compression and tension parallel to the grain. It is concluded that the Parica wood specie present good strengths properties, although of low density, presenting potential for use in timber structures.
Evaluation of Ki-67 as a Histological Index of Burn Damage in a Swine Model

Histological diagnosis of burn depth lacks consensus. The purpose of this study was to determine whether Ki-67, a cell proliferation marker, provides an index of integument viability after burn injury. Induction of thermal burn injuries (3, 12, 20, 30, 75, 90, and 120 seconds) were made with a brass rod heated to 100°C on the dorsal trunk of the swine. Controls were created with a brass rod heated to 37.5°C. Four 6-mm biopsies were obtained from each site for histological analysis of Ki-67. Biopsies were taken at the following times postinjury: 1, 12, 24, 36, 48, 72, and 96 hours. The results illustrate a characteristic Ki-67 nuclear staining in the basal layer of the epidermis and in the hair follicle. With increasing thermal injury, the nuclei of the cells changed morphology: condensing, fragmenting, and elongating. The uniqueness of the labeling index was to include only morphologically intact nuclei as having capacity to proliferation. Quantitative analysis showed a reduction in the mean number of Ki-67-positive cells, suggesting a reduced regenerative capacity. This study supports using this index as a means of performing histology for burn depth analysis. In future studies, determining viability of partial-thickness burns will require multiple histological markers such as Ki-67 in addition to hematoxylin and eosin staining.
The extended collaborative representation-based classification

Collaborative representation (CR), one of the well-known representation methods, has been widely used in pattern recognition. The collaborative representation-based classification (CRC) is to represent a test sample by the collaborative subspace of all the training samples from all classes. As an effective extension of CRC, the probabilistic collaborative representation-based classification (PCRC) calculates the probability of a test sample belonging to the collaborative subspace of all classes for classification. In the related CRC works, the representation fidelity is often measured by the ℓ2-norm of coding residual, but the ℓ1-norm fidelity is used very little. In fact, the representation fidelity with different coding residuals has a great effect on the CR-based classification performance. In this paper, to further improve the CR-based classification accuracy, we propose the extended CRC and PCRC by jointing the ℓ1-norm and ℓ2-norm of coding residuals on the representation fidelity. Besides, the extension of CRC is introduced by constraining the coding residual with ℓ1-norm. The experiments on four popular face databases show that the proposed extensions of CRC and PCRC perform very well.