Miracle-dz/UniFAR-FTUs huggingface dataset:
Concept Drift Detection for Graph-Structured Classifiers under Scarcity of True Labels

Data stream classifiers that can withstand unusual phenomena in an evolving data stream, such as concept drift and concept evolution, are highly desirable for data stream mining. Most existing methods deal with such phenomena in a supervised manner, which is costly in a real-world scenario. To address this shortcoming, we propose a concept drift detection approach that combines our approach with a semi-supervised adaptive incremental neural gas (A2ING) classifier. Our approach makes use of A2ING's graph topology structure to detect changes in a data stream. We derive a graph's instability around its decision boundary and find the difference in prior and posterior distributions of the criteria. The empirical results show the effectiveness of our method. The classifier requires a relatively low number of true labels compared to existing approaches and shows high effectiveness in change detection.
Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings

We report on the creation of a dataset for studying assessment of suicide risk via online postings in Reddit. Evaluation of risk-level annotations by experts yields what is, to our knowledge, the first demonstration of reliability in risk assessment by clinicians based on social media postings. We also introduce and demonstrate the value of a new, detailed rubric for assessing suicide risk, compare crowdsourced with expert performance, and present baseline predictive modeling experiments using the new dataset, which will be made available to researchers through the American Association of Suicidology.
Exploring Energy Efficiency Model Generalization on Multicore Embedded Platforms

In this paper we investigate the relation between energy efficiency model and workload type executed in modern embedded architectures. From the energy efficiency model obtained in our previous work we select a few configuration points to verify that the prediction in terms of relative energy efficiency is maintained through different workload scenarios. A configuration point is defined as a set of platform tunable metrics, such as DVFS point, DPM level and utilization rate. As workloads, we use a combination of synthetic generators and real world applications from the embedded domain. In our experiments we use two different architectures for testing the model generality, which provide examples of real systems. First we have a comparison of the efficiency obtained by the two architecturally different chips (ARM and INTEL) in different configuration points and different workload scenarios. Second we try to explain the different results through the thermal management done by the two different chips. At the end we show that only in the case of workloads highly composed by integer instructions the results from the two architectures converge and show the need for a specific model trained with integer operations.
American Finance Association Rational Prepayments and the Valuation of Collateralized Mortgage Obligations Author ( s ) :

Rational Prepayments and the Valuation of Collateralized Mortgage Obligations Author(s): John J. McConnell and Manoj Singh Source: The Journal of Finance, Vol. 49, No. 3, Papers and Proceedings Fifty-Fourth Annual Meeting of the American Finance Association, Boston, Massachusetts, January 3-5, 1994 (Jul., 1994), pp. 891-921 Published by: Blackwell Publishing for the American Finance Association Stable URL: http://www.jstor. org/stable/2329210 Accessed: 30/03/2010 20:58
Recognition of 2-D object on geometrical quasisimilarity of polygonal representations

An proposed method is based on matching model and objects polygonal representations using the modified classical laws of geometric similarity of polygons. The method tolerates partly occluded and partly visible objects and variations in their location, orientation and scale. The model and objects are represented by the chain codes. Those are composed of the ordered sequences of local features describing each polygon vertex independently. The condition of separate vertices resemblance is defined. We denote by term "quasisimilarity" approximate geometric similarity of polygons and define the one as enough number of the model and object vertices pairs satisfying to resemblance vertices condition. For the test of this method, the recognizing system has been developed. The analysis of results are represented.
Applying coloured Petri nets to analyze fail silent nodes in distributed systems

A fail-silent node is a self-checking node composed of a number of conventional fail-uncontrolled processors that work together to provide the following fail-controlled behavior: the node either functions correctly or stops functioning after an internal failure is detected. In a software implemented fail-silent node, the non-faulty processors of the node need to execute message order and comparison protocols to keep in step and check each other respectively. In this paper we present a Petri net model for a software implemented fail-silent node specification. Formal analysis by means of occurrence graph is also shown.
Multisensor navigation in urban environment

GNSS receivers are designed to provide an estimate of three fundamental components for navigation: position, velocity and time. However, GNSS signals can be highly degraded or denied in some challenging environments as urban canyons, forests, mines and indoor environments. In addition to these critical scenarios, no orientation (or attitude) information is provided by standard receivers. Thus, in order to enhance robustness and performance of navigation solutions, it is possible to rely on integration with GNSS of measurements coming from other sensors, such as inertial sensors, barometers, magnetometers, cameras and other systems that can be used for positioning. The objective is to go towards seamless positioning, integrating measurements adaptively based on availability and reliability of the different systems.
A Randomized, Double‐Blind, Placebo‐Controlled Study to Evaluate the Effect of Erenumab on Exercise Time During a Treadmill Test in Patients With Stable Angina

To determine the potential impact of erenumab, a human anti‐calcitonin gene‐related peptide (CGRP) receptor monoclonal antibody, on total exercise time (TET), time to exercise‐induced angina, and ST depression in a double‐blind, placebo‐controlled study in patients with stable angina due to documented coronary artery disease.
Formulation Development and Evaluation of Paclitaxel Loaded Solid Lipid Nanoparticles Using Glyceryl Monostearate

Article history: Received on: 08/07/2013 Revised on: 29/07/2013 Accepted on: 13/08/2013 Available online: 30/08/2013 Solid Lipid Nanoparticles (SLNs) are important because of their size and stability. SLNs have been reported as an alternative drug delivery device to traditional polymeric nanoparticles. SLNs are in submicron range (501000nm) and are composed of physiologically tolerated lipid components. At room temperature the particles are in solid state. They are made up of bio-compatible and bio-degradable materials capable of incorporating lipophilic and hydrophilic drugs. Paclitaxel is a Di-terpenoid Pseudo-alkaloid having anti-neoplastic activity particularly against primary epithelial, ovarian carcinoma, Breast cancer, Colon Cancer, Brain Cancer, Lungs cancer and AIDs Related Kaposi’s Sarcoma. Paclitaxel is an effective drug against Aggressive Cancer’s because it adversely affect the process of cell division by preventing restructuring. The present study is to investigate the probability of incorporating paclitaxel in SLNs using Glyceryl Mono-stearate (GMS) as a lipid matrix, poly-oxy ethylene (Brij 97) as a surfactant, soya-lecithin as a co-emulsifier. Paclitaxel loaded SLNs are prepared by Solvent emulsification and evaporation method using ultra sonication and optimization of critical process variables were carried out to develop stable SLNs. The average particle size of SLNs was found to be 63nm ± 5.77 with Poly dispersity index (PDI) 0.272 ± 0.02 and entrapment efficiency was found 94.58%. The stability studies and zeta potential were performed at refrigerated temperature (2-8 C) indicating no significant increase in particle size after one month storage. In-vitro release studies showed initial burst release followed by controlled release for 48hrs (about 73%). The release profile was fitted into Higuchi’s model (r=0.9774). The drug diffuses from SLNs at a comparatively slower rate as the distance for diffusion increases.
Rule-based text categorization using hierarchical categories

Document categorization, which is defined as the classification of text documents into one of several fixed classes or categories, has become important with the explosive growth of the World Wide Web. The goal of the work described here is to automatically categorize Web documents in order to enable effective retrieval of Web information. In this paper, based on the rule learning algorithm RIPPER (for Repeated Incremental Pruning to Produce Error Reduction), we propose an efficient method for hierarchical document categorization.
A noniterative sample size procedure for tests based on t distributions

A noniterative sample size procedure is proposed for a general hypothesis test based on the t distribution by modifying and extending Guenther's approach for the one sample and two sample t tests. The generalized procedure is employed to determine the sample size for treatment comparisons using the analysis of covariance (ANCOVA) and the mixed effects model for repeated measures in randomized clinical trials. The sample size is calculated by adding a few simple correction terms to the sample size from the normal approximation to account for the nonnormality of the t statistic and lower order variance terms, which are functions of the covariates in the model. But it does not require specifying the covariate distribution. The noniterative procedure is suitable for superiority tests, noninferiority tests, and a special case of the tests for equivalence or bioequivalence and generally yields the exact or nearly exact sample size estimate after rounding to an integer. The method for calculating the exact power of the two sample t test with unequal variance in superiority trials is extended to equivalence trials. We also derive accurate power formulae for ANCOVA and mixed effects model for repeated measures, and the formula for ANCOVA is exact for normally distributed covariates. Numerical examples demonstrate the accuracy of the proposed methods particularly in small samples.
A text entry interface using smooth pursuit movements and language model

Nowadays, with the development of eye tracking technology, the gaze-interaction applications demonstrate great potential. Smooth pursuit based gaze typing is an intuitive text entry system with low learning effort. In this study, we provide a language-prediction function for a smooth-pursuit based gaze-typing system. Since the state-of-the-art neural network models have been successfully applied in language modeling, this study uses a pretrained model based on convolutional neural networks (CNNs) and develops a prediction function, which can predict both next possible letters and word. The results of a pilot experiment have shown that the next possible letters or word can be well predicted and selected. The mean typing speed can achieve 4.5 words per minute. The participants consider that the word prediction is helpful for reducing the visual search time.
The effect of rearing photoperiod on broiler breeder reproductive performance depended on body weight

ABSTRACT Body weight (BW) and rearing photoperiod are important factors affecting sexual maturation rate and reproductive performance in broiler breeders. The current experiment used a 2 × 3 factorial arrangement of treatments to study the interaction between BW and rearing photoperiod on reproductive performance in group housed broiler breeder hens, while minimizing variation in BW. Hens (n = 180) were fed with a precision feeding system to allocate feed individually to achieve the breeder‐recommended target curve (Standard) or to a target curve that reached the 21 wk BW at 18 wk (High). Hens were on 8L:16D, 10L:14D, or 12L:12D photoschedules during rearing and were photostimulated at 21 wk with a 16L:8D photoschedule. Sexual maturity (defined as age at first egg) and individual egg production to 55 wk were recorded. At 55 wk, proportional weights of individual body components were determined by dissection. Differences were reported as significant at P ≤ 0.05. A significant interaction between BW and rearing photoschedule affected age at sexual maturity and egg production. In the High BW treatment, age at sexual maturity did not differ between hens under the 8L:16D and 10L:14D photoschedules (173 vs. 172 d, respectively). In the Standard BW treatment, the 12L:12D rearing photoperiod delayed sexual maturity compared with the 8L:16D rearing photoperiod (266 vs. 180 d, respectively). All hens on the High BW treatment laid at least 1 egg before the end of the experiment. Conversely, 3.3, 18.1, and 37.6% of Standard BW hens on the 8L:16D, 10L:14D, and 12L:12D photoschedules, respectively, never commenced egg production. At the end of the experiment, proportional breast weight was higher and proportional fatpad weight was lower in Standard compared to High BW hens (25.8 vs. 27.5% and 2.4 vs. 1.5% of BW, respectively). We conclude that increased BW partially counters the effect of longer photoschedules on sexual maturity in broiler breeders and that dissipation of the photorefractory state depends on BW.
A Multibeam-Based SLAM Algorithm for Iceberg Mapping Using AUVs

Using autonomous underwater vehicles (AUVs) for mapping underwater topography of sea-ice and icebergs, or detecting keels of ice ridges, is foreseen as enabling technology in future arctic marine operations. Wind, current, and Coriolis forces affect an iceberg’s trajectory, making automated mapping difficult. This paper presents a method aiming at enabling autonomous iceberg mapping using AUVs equipped with a multibeam echosounder by estimating the position and orientation of the iceberg. The method is based on a bathymetric simultaneous localization and mapping (SLAM) algorithm, namely, the bathymetric distributed particle filter SLAM (BPSLAM) algorithm. The proposed method estimates the AUV’s pose in an iceberg-fixed coordinate system. The relative states can be used for both guiding the vehicle to achieve complete coverage, as well as estimation of a consistent iceberg topography. The algorithm also provides an estimate of the iceberg’s drift velocity – an important parameter for the AUV trajectory planning as well as any related ice management (IM) operations. Two new weighting algorithms for the BPSLAM method are proposed, enabling batch processing of multibeam echosounder (MBE) measurements to ensure real-time operation without discarding information. The proposed method is demonstrated using a real iceberg topography taken from the PERD iceberg sightings database, with simulated AUV and MBE range measurements. The algorithm is also evaluated on a real world bathymetric dataset, collected using the HUGIN HUS AUV.
Economic evaluation of point-of-care testing in the remote primary health care setting of Australia’s Northern Territory

Aim To determine the cost-effectiveness of utilizing point-of-care testing (POCT) on the Abbott i-STAT device as a support tool to aid decisions regarding the emergency medical retrievals of patients at remote health centers in the Northern Territory (NT) of Australia. Methods A decision analytic simulation model–based economic evaluation was conducted using data from patients presenting with three common acute conditions (chest pain, chronic renal failure due to missed dialysis session(s), and acute diarrhea) at six remote NT health centers from July to December 2015. The specific outcomes measured in this study were the number of unnecessary emergency medical retrieval prevented through POCT. Cost savings through prevented unnecessary medical retrievals for each presentation type were then determined and extrapolated to give per annum NT-wide estimates. Results POCT prevented 60 unnecessary medical evacuations from a total of 200 patient cases meeting the selection criteria (48/147 for chest pain, 10/28 for missed dialysis, and 2/25 for acute diarrhea). The associated cost savings were AUD $4,674, $8,034, and $786 per patient translating to NT-wide savings of AUD $13.72 million, $6.45 million, and $1.57 million per annum (AUD $21.75 million in total) for chest pain, missed dialysis, and acute diarrhea presentations, respectively. Conclusion This study demonstrated that POCT when used to aid decision making for acutely ill patients delivered significant cost savings for the NT health care system by preventing unnecessary emergency medical retrievals.
PD-L1 expression is an independent predictor of favorable outcome in patients with localized esophageal adenocarcinoma

ABSTRACT Background. The outcome of patients with adenocarcinoma of the esophagogastric junction (AEG) remains poor. The programmed cell-death-protein-1 (PD-1), a co-inhibitory receptor primarily expressed by T-cells, represents a potential new therapeutic target. PD-1, PD-1 ligand 1 (PD-L1), and PD-L2 expression have all been described as prognostic factors in a variety of cancers. Their expression patterns in AEG, however, are poorly understood. We analyzed PD-L1, PD-L2 and PD-1 expression by tumor-infiltrating lymphocytes (TILs) and cancer-cells in tumor-biospecimens in AEG-patients. Methods. 168 patients who underwent esophagectomy because of AEG between 1992–2011 were included in this study. PD-L1, PD-L2 and PD-1 expression were evaluated by immunohistochemistry and correlated with various clinicopathological parameters, disease-free survival (DFS) and long-term overall survival (OS). Results. PD-L1 expression by cancer-cells (cancer-cell-PD-L1+) was found in 43.5% of patients whereas PD-L1 expression by TILs (TILs-PD-L1+) was observed in 69%. PD-L2 expression by cancer-cells and TILs was only found in 3.5% and 1.8%, respectively. Additionally, 77.4% of tumors contained PD-1+-cancer-cells and 81% PD-1+-TILs. Patients with increased expression of PD-1 by cancer-cells and TILs showed significantly reduced OS and DFS, as determined by univariate, but not multivariate analysis. Expression of PD-L1 by cancer-cells was found to be an independent predictor for improved DFS (p = 0.038) and OS (p = 0.042) in multivariate analysis. Conclusions. Cancer cells and TILs displayed PD-L1 expression in around 50% and PD-1 expression in around 80% of tumor-biospecimens obtained from AEG patients. Expression of PD-L1 is an independent predictor of favorable outcome in AEG, whereas PD-1 expression is associated with worse outcome and advanced tumor stage.
Extended Kernelized Correlation Tracking with Target Enhancement and Sample Selection

In this paper, we address the problem of fast motion and bound effect about the popular high-speed correlation filters-based trackers. Such trackers are facing with the contradiction between extended detection region and reduced precision. To improve the robustness against fast motion, we firstly propose a tracker with extended region. In addition, in order for adapting different region sizes and target sizes, we introduce the target enhancement strategy to increase the effect of the target in learning a discriminative regression. Furthermore, a novel sample selection mechanism is established to drop the error samples generated by the circular structure of correlation filters. Our approach enlarges the detection region, improves the tracking accuracy and preserves the significant kernel structure of the correlation filters. Moreover, extensive experimental results in a recent benchmark datasets show that our proposed method have a promising performance compared to the state-of-art methods.
Practical water production from desert air

Next-generation MOF device and material for water production from desert air. Energy-efficient production of water from desert air has not been developed. A proof-of-concept device for harvesting water at low relative humidity was reported; however, it used external cooling and was not desert-tested. We report a laboratory-to-desert experiment where a prototype using up to 1.2 kg of metal-organic framework (MOF)–801 was tested in the laboratory and later in the desert of Arizona, USA. It produced 100 g of water per kilogram of MOF-801 per day-and-night cycle, using only natural cooling and ambient sunlight as a source of energy. We also report an aluminum-based MOF-303, which delivers more than twice the amount of water. The desert experiment uncovered key parameters pertaining to the energy, material, and air requirements for efficient production of water from desert air, even at a subzero dew point.
Linking locomotor performance to morphological shifts in urban lizards

Urban habitats are drastically modified from their natural state, creating unique challenges and selection pressures for organisms that reside in them. We compared locomotor performance of Anolis lizards from urban and forest habitats on tracks differing in angle and substrate, and found that using artificial substrates came at a cost: lizards ran substantially slower and frequently lost traction on man-made surfaces compared to bark. We found that various morphological traits were positively correlated with sprint speed and that these same traits were significantly larger in urban compared to forest lizards. We found that urban lizards ran faster on both man-made and natural surfaces, suggesting similar mechanisms improve locomotor performance on both classes of substrate. Thus, lizards in urban areas may be under selection to run faster on all flat surfaces, while forest lizards face competing demands of running, jumping and clinging to narrow perches. Novel locomotor challenges posed by urban habitats likely have fitness consequences for lizards that cannot effectively use man-made surfaces, providing a mechanistic basis for observed phenotypic shifts in urban populations of this species.
Tumor Necrosis Factor Receptor-Associated Factor 5 Interacts with the NS3 Protein and Promotes Classical Swine Fever Virus Replication

Classical swine fever, caused by classical swine fever virus (CSFV), is a highly contagious and high-mortality viral disease, causing huge economic losses in the swine industry worldwide. CSFV non-structural protein 3 (NS3), a multifunctional protein, plays crucial roles in viral replication. However, how NS3 exactly exerts these functions is currently unknown. Here, we identified tumor necrosis factor receptor-associated factor 5 (TRAF5) as a novel binding partner of the NS3 protein via yeast two-hybrid, co-immunoprecipitation and glutathione S-transferase pull-down assays. Furthermore, we observed that TRAF5 promoted CSFV replication in porcine alveolar macrophages (PAMs). Additionally, CSFV infection or NS3 expression upregulated TRAF5 expression, implying that CSFV may exploit TRAF5 via NS3 for better growth. Moreover, CSFV infection and TRAF5 expression activated p38 mitogen activated protein kinase (MAPK) activity, and inhibition of p38 MAPK activation by the SB203580 inhibitor suppressed CSFV replication. Notably, TRAF5 overexpression did not promote CSFV replication following inhibition of p38 MAPK activation. Our findings reveal that TRAF5 promotes CSFV replication via p38 MAPK activation. This work provides a novel insight into the role of TRAF5 in CSFV replication capacity.