Miracle-dz/UniFAR-FTUs huggingface dataset:
RDFVector : An Efficient and Scalable Schema for Semantic Web Knowledge Bases

As the semantic web grows in popularity and enters the mainstream of computer technology, RDF(Resource Description Framework) datasets are becoming larger and more complex. As datasets grow larger and more datasets are linked together, scalability becomes more important. As more complex ontologies are developed, there is growing need for efficient queries that handle inference. In areas such as research, it is vital to be able to perform queries that retrieve not just facts but also inferred knowledge and uncertain information. Currently, scalability and performance issues limit the semantic web from reaching its full potential. The primary goal of RDFVector is to improve the performance of queries against large RDF datasets, including queries that involve inferred knowledge and probabilistic reasoning. RDFVector is a new persistent data model using bit vectors that is highly efficient. This design allows us to store inferred knowledge with no penalty. Queries become simpler and more efficient.
Is multicore supervisory controller synthesis in the Ramadge-Wonham framework feasible?

Supervisory control theory studies automated generation of provably-correct discrete-event control software based on formal models of the system and the control requirements. There are many computational challenges in the synthesis of software models, where parallel controller synthesis seems to be one of the few plausible alternatives in the future. Surprisingly, no parallel synthesis algorithms for the Ramadge-Wonham framework are readily available, despite the emergence of affordable multi-core machines. We propose a multi-core implementation of the core supervisor synthesis algorithm, showing almost linear improvement with respect to the number of available cores for a large class of models.
The Case of Eric, Lou Gehrig’s Disease, and Stem Cell Research

Page 1 Eric loved the fall because it meant the start of soccer season. Soccer was in his blood. He had played since he was fi ve and now, at the age of , he was coaching children that very age. In his mind, nothing compared to seeing a fi ve-year-old score his or her fi rst goal—that awesome, untamed joy. Of course, he loved his family, his girlfriend of three years, and his job as a computer programmer, but working with kids was his unabashed passion.
PI control of first order time-delay systems via eigenvalue assignment

A new approach to design PI controllers for time delay systems is presented. A time-delay can limit and degrade the achievable performance of the controlled system, and even induce instability. This paper presents a new method, based on the Lambert W function [20], for design of PI feedback controllers as an alternative to the well-known Smith predictor. PI controllers for first-order plants with time-delays are de signed by obtaining the rightmost (i.e., dominant) eigenvalues in the infinite eigenspectrum of time-delay systems, and assigning them to desired positions in the complex plane. The process is possible due to a novel property of the Lambert W function. Using the controllers designed by using the presented approach, system performance can be improved as well as successfully stabilized. Also, sensitivity analysis of the rightmost eigenvalues is conducted to show that robustness compares favorably to the Smith predictor.
Critical appraisal of bevacizumab in the treatment of metastatic colorectal cancer

Colorectal cancer is one of the most common cancers worldwide. The prognosis of patients with metastatic colorectal cancer in recent years has increased from 5 months with best supportive care to nearly 2 years with chemotherapy combined with bevacizumab, an antivascular endothelial growth factor monoclonal antibody. New prognostic and predictive biomarkers have been identified to guide chemotherapy in metastatic colorectal cancer, such as KRAS and BRAF oncogenes. However, the status of these oncogenes does not affect the efficacy of bevacizumab, and biomarkers predicting response to treatment with bevacizumab are still lacking. Addition of bevacizumab to regimens based on fluoropyrimidines or irinotecan has been shown to improve overall survival in treatment-naïve patients with metastatic colorectal cancer. Similarly, a significant increase in overall survival rate is achieved by adding bevacizumab to fluoropyrimidines and oxaliplatin in patients with disease progression. Bevacizumab has been found to be effective even when used as third-line therapy and later. In addition, cohort studies have shown that bevacizumab improves survival significantly despite disease progression. Finally, bevacizumab therapy in the neoadjuvant setting for the treatment of liver metastasis is well tolerated, safe, and effective.
Word Embeddings vs Word Types for Sequence Labeling: the Curious Case of CV Parsing

We explore new methods of improving Curriculum Vitae (CV) parsing for German documents by applying recent research on the application of word embeddings in Natural Language Processing (NLP). Our approach integrates the word embeddings as input features for a probabilistic sequence labeling model that relies on the Conditional Random Field (CRF) framework. Best-performing word embeddings are generated from a large sample of German CVs. The best results on the extraction task are obtained by the model which integrates the word embeddings together with a number of hand-crafted features. The improvements are consistent throughout different sections of the target documents. The effect of the word embeddings is strongest on semi-structured, out-of-sample data.
Simple decentralised market-oriented management of OFDMA femto-cells

A femto access point (FAP) is a low-cost, low-power device intended to be installed by a home owner, to turn the home into a tiny wireless communication cell, that operates underneath a standard cell, in licensed spectrum bands. Femto-cells can improve user experience in indoor locations, and increase overall system capacity with modest monetary investment. But the unplanned dynamic nature of these cells, significantly complicate resource allocation and interference control. We propose a relatively simple, decentralised market-oriented scheme for sub-channel and power allocation when femto-cell users co-exist with those of an OFDMA macro-cell. Our scheme utilises the Dutch auction (price progressively falls until a participant buys the object). Special "confirmation messages" are used to control interference, achieve channel reuse across Femto-cells, and mitigate the "hidden terminal" problem. Secure software inside each terminal may record transactions for eventual payment collection, or the auction can be interpreted as a prioritised decentralised allocation algorithm, without real money exchange.
VLSI Implementation of Fast Convolution Based 2-D Discrete Wavelet Transform for High Speed, Area Efficient Image Computing

A VLSI design approach of a high speed and real-time 2-D Discrete Wavelet Transform computing is being presented in the paper. The proposed architecture, based on new and fast convolution approach, reduces the hardware complexity in addition to reduce the critical path to the multiplier delay. Furthermore, an advanced two dimensional (2-D) discrete wavelet transform (DWT) implementation, with an efficient memory area, is designed to produce one output in every clock cycle. As a result, a very high speed is attained. The system is verified, using JPEG2000 coefficients filters, on Xilinx Virtex-II Field Programmable Gate Array (FPGA) device without accessing any external memory. The resulting computing rate is up to 270 M samples/s and the (9,7) 2D wavelet filter uses only 18 kb of memory (16 kb of first-in-first-out memory) with 256×256 image size. In this way, the developed design requests reduced memory and provide very high-speed processing as well as high PSNR quality.
Extracellular dopamine and amphetamine after systemic amphetamine administration: comparison to the behavioral response.

To further delineate amphetamine-dopamine pharmacokinetic-pharmacodynamic relationships, we examined extracellular levels of dopamine and amphetamine in caudate-putamen after the s.c. administration of 8 mg/kg amphetamine. In a parallel group of animals, we also assessed caudate-putamen tissue levels of the drug. Extracellular concentrations of the transmitter and the drug exhibited similar temporal profiles, each achieving maximum concentrations within 30 min of drug administration. Tissue levels of amphetamine exhibited a similar, although slightly earlier time to maximum levels. The concentrations of amphetamine and dopamine in the extracellular fluid and amphetamine in tissue rapidly declined with similar rates of elimination. In contrast to the temporal profiles for both dopamine and amphetamine, stereotyped behaviors achieved maximum intensity at about 60 min. In addition, although transmitter and drug declined almost 10-fold from maximum values over the 4-hr interval after amphetamine administration, stereotyped behaviors persisted for at least 3 hr before abating. The results of these studies confirm our previous observation that the temporal profiles for stereotyped behaviors and extracellular dopamine are dissociated, and also extend this dissociation to extracellular amphetamine. In addition, although there was a close correspondence between dopamine and amphetamine within each experimental animal, individual animals exhibited a broad range of maximal dopamine responses, suggesting a differential responsiveness to amphetamine.
A Bourdieusian Perspective on Acculturation: Mexican Immigrants in the United States

This article uses Bourdieu’s theory of practice (BTOP) to understand immigrants’ acculturation. It synthesizes research findings by discussing acculturation as: (1) equalization of immigrants’ and natives’ development (convergence); (2) language and social practices related to economic, cultural, social and symbolic capitals; and (3) relationships among acculturation indicators in the evolving interactions among immigrants’ habituses and their economic, cultural, social, and symbolic capitals. Hypotheses tests use micro, meso and macro-level practices. Results confirm a systemic correspondence between the habitus and different types of capital, suggesting that relationships among components of immigrants’ habituses and their capitals change as acculturation develops.
Sequential Task Problem Solving using Cultural Learning in Populations of Neural Networks

Cultural learning describes the process of information transfer between individuals in a population through non–genetic means. Typically this is achieved through communication or the creation of artifacts available to all members of a population. Cultural learning has been simulated by combining genetic algorithms and neural networks using a teacher/pupil scenario where highly fit individuals are selected as teachers and instruct the next generation. This paper explores the effect of a cultural learning approach to the development of solutions for three test–case sequential decision tasks: connect–four, tic–tac–toe and blackjack. Experiments are conducted with populations employing population learning alone and populations combining population and cultural learning.
Ordering the complements of trees by the number of maximum matchings

A "perfect matching" of a graph G with n vertices is a set of n/2 independent edges of G. In the present study, we succeeded in determining the trees whose complements have the extremal number of "perfect matchings" for two different group of trees. Some further problems are also posed. © 2005 Wiley Periodicals, Inc. Int J Quantum Chem 105: 131-141, 2005
Inferring Complex Agent Motions from Partial Trajectory Observations

Tracking the movements of a target based on limited observations plays a role in many interesting applications. Existing probabilistic tracking techniques have shown considerable success but the majority assume simplistic motion models suitable for short-term, local motion prediction. Agent movements are often governed by more sophisticated mechanisms such as a goal-directed path-planning algorithm. In such contexts we must go beyond estimating a target's current location to consider its future path and ultimate goal. We show how to use complex, "black box" motion models to infer distributions over a target's current position, origin, and destination, using only limited observations of the full path. Our approach accommodates motion models defined over a graph, including complex pathing algorithms such as A*. Robust and practical inference is achieved by using hidden semi-Markov models (HSMMs) and graph abstraction. The method has also been extended to effectively track multiple, indistinguishable agents via a greedy heuristic.
Rank-based Multi-Scale Entropy analysis of heart rate variability

The method of MultiScale Entropy (MSE) is an invaluable tool to quantify and compare the complexity of physiological time series at different time scales. Although MSE traditionally employs sample entropy to measure the unpredictability of each coarse-grained series, the same framework can be applied to other metrics. Here we investigate the use of a rank-based entropy measure within the MSE framework. Like in the traditional method, the series are studied in an embedding space of dimension m. The novel entropy assesses the unpredictability of the series quantifying the “amount of shuffling” that the ranks of the mutual distances between pairs of m-long vectors undergo when considering the next observation. The algorithm was tested on recordings from the Fantasia database in a time-varying fashion using nonoverlapping 300-samples windows. The method was able to find statistically significant differences between young and healthy elderly subjects at 7 scales/time-windows after accounting for multiple comparisons using the Holm-Bonferroni correction. These promising results suggest the possibility of using this measure to perform a time-varying assessment of complexity with increased accuracy and temporal resolution.
The responsiveness of neurones in the frontal opercular gustatory cortex of the macaque monkey is independent of hunger.

1. In order to determine whether the responsiveness of neurones in the primary gustatory cortex is influenced by hunger, the activity of neurones in the gustatory cortex in the frontal operculum was recorded while macaque monkeys (Macaca fascicularis) were fed to satiety. The responses of single neurones in the gustatory cortex to the prototypical taste stimuli glucose, NaCl, HCl and quinine hydrochloride, and to fruit juice, were measured before, while, and after the monkey was fed to satiety with glucose or fruit juice. 2. While behaviour turned from avid acceptance to active rejection upon repletion, the responsiveness of the neurones to the stimulus array, including the satiating solution, was unmodified. 3. It is concluded that in the gustatory cortex in the frontal operculum, neuronal responses to gustatory stimuli are not influenced by the normal transition from hunger to satiety. This is in contrast to the responses of a population of neurones recorded in the hypothalamus, which only occur to the taste of food when the monkey is hungry. Thus the neurones in the primary gustatory cortex are involved in a motivation‐independent analysis of gustatory stimuli, whereas the hypothalamic neurones may be more closely related to the influence of motivational state on behavioural responsiveness to gustatory stimuli.
An ultrasensitive photoelectrochemical nucleic acid biosensor

A simple and ultrasensitive procedure for non-labeling detection of nucleic acids is described in this study. It is based on the photoelectrochemical detection of target nucleic acids by forming a nucleic acid/photoreporter adduct layer on an ITO electrode. The target nucleic acids were hybridized with immobilized oligonucleotide capture probes on the ITO electrode. A subsequent binding of a photoreporter—a photoactive threading bis-intercalator consisting of two N,N′-bis(3-propyl-imidazole)-1,4,5,8-naphthalene diimides (PIND) linked by a Ru(bpy)22+ (bpy = 2,2′-bipyridine) complex (PIND–Ru–PIND)—allowed for photoelectrochemical detection of the target nucleic acids. The extremely low dissociation rate of the adduct and the highly reversible photoelectrochemical response under visible light illumination (490 nm) make it possible to conduct nucleic acid detection, with a sensitivity enhancement of four orders of magnitude over voltammetry. These results demonstrate for the first time the potential of photoelectrochemical biosensors for PCR-free ultrasensitive detection of nucleic acids.
Denoising auto-encoders toward robust unsupervised feature representation

Deep networks like the convolutional neural network and its variants usually learn hierarchical features from labeled images, which is very expensive to obtain. How can we find an unsupervised way to effectively extract deep and abstract features from images without annotations? Even from large qualities of images with noise? In this paper, we propose a robust deep neural network, named as stacked convolutional denoising auto-encoders (SCDAE), which can map raw images to hierarchical representations in an unsupervised manner. Our network is elaborately designed to fit for the visual recognition tasks. It is established by stacking the denoising auto-encoders. Unlike the prior works, in the training phase, the auto-encoders are trained patch-wisely so that the latent features can be applied to powerful regularizers for better representation; in the inference phase, the denoising auto-encoders are stacked convolutionally, hence the generated feature maps in the higher layers can preserve the coherent structures within the features in the lower layers. To achieve better performance, we apply whitening to each layer to sphere the input features. Our network is evaluated on the challenging image datasets MNIST, CIFAR-10 and STL-10 and demonstrates superior performance to the state-of-the-art unsupervised networks.
Bivalirudin plus loading dose of cilostazol-based triple-antiplatelet in treatment of non-ST-elevation myocardial infarction following percutaneous coronary intervention

Objective To study the effect of bivalirudin plus loading dose of cilostazol-based triple-antiplatelet therapy strategy in patients undergoing percutaneous coronary intervention (PCI). Methods One hundred and fifty-three patients with non-ST-segment elevation myocardial infarction who underwent PCI were divided into control group and cilostazol group. Patients in control group were given aspirin and clopidogrel and those in cilostazol group were given aspirin, clopidogrel, and cilostazol once 2 hours before PCI and for 30 days after PCI. Bivalirudin was given to all patients before and during the PCI. Results After PCI, the Thrombolysis In Myocardial Infarction myocardial perfusion grade (TMPG) III in cilostazol group was higher than that in control group (89.19% versus 72.15%, P<0.05). At 30 days, the incidence of major adverse cardiac events was significantly lower in cilostazol group compared with that in control group (6.76% versus 17.72%, P<0.05). However, the rates of cardiac death, nonfatal reinfarction, target vessel revascularization, new congestive heart failure, and subacute stent thrombosis did not significantly differ between the two groups. In addition, the rates of minor or major bleeding or thrombocytopenia did not significantly differ between the two groups. Conclusion Bivalirudin plus loading dose of cilostazol-based triple-antiplatelet therapy strategy in PCI increased TMPG III, decreased major adverse cardiac events, and did not increase the incidence of bleeding and thrombocytopenia.
Clinical Assessment of a Customized Free-Form Progressive Add Lens Spectacle

Purpose. To determine whether there are significant differences in standard clinical measures of vision, progressive addition lens (PAL)-specific vision tests, or subjective ratings and preferences between customized free-form and standard non-free-form PALs in an experienced wearing population. In addition, we aim to determine whether subjective or objective clinical outcomes depend on demographic, PAL usage, spectacle prescription, or frame fitting characteristics. Methods. In a randomized, double-masked cross-over trial, 95 experienced wearers wore Zeiss Individual customized free-form PAL spectacles (test) and standard non-free-form PAL spectacles (control) for 1 week each. At dispensing and after 1 week of wear, subjects were tested for distance and near visual acuity under both high and low contrast; in addition, 30° off-axis visual acuity was measured using a novel apparatus, as was the horizontal extent of clear, undistorted vision at reading distance. Subjects also completed a set of questionnaires detailing their satisfaction levels, adaptation times, and preferences for test or control spectacles for different visual tasks. Results. The test spectacles were preferred overall and for distance, midrange, transitional and active vision, and rated higher in overall satisfaction (p = 0.006). There were no clinically important differences between test and control spectacles in standard clinical vision assessments. In the PAL-specific assessments, however, the horizontal extent of clear vision at reading distance was significantly greater with the test spectacles (p = 0.004). Conclusions. There were statistically significant preferences for the optically customized free-form lenses over the non-free-form lenses. Subjects also reported a wider field of undistorted vision when looking through the reading zone of the test spectacles. Although standard clinical vision assessments are not sufficiently refined to detect important objective differences between the spectacle types, customization taking into account back vertex distance, segment height, pantoscopic tilt, and wrap angle can result in a superior subjective wearing experience for many PAL patients.
Bad hombres

In August of 2016, a couple of months before the United States presidential election, then-candidate Donald Trump visited the presidential palace in Mexico City at the invitation of Mexican president, Enrique Peña Nieto. In the wake of his visit, a barrage of images, memes, and video clips were produced to mock, memorialize, and comment on it. This article analyzes the semiotics of those images and their relations of metonymy where Trump and Peña Nieto respectively stand for their countries in scenarios as abusive and jilted lovers, as iconized Mexican toys such as piñatas and baleros, and as the protagonists of popular movies such as Dumb and Dumber. A recurrent anxiety in these images involves the political humiliation of Mexico at the hands of the United States, and the gendered humiliation of Peña Nieto at the hands of Trump. Possible gendered rescues in memes include turning Trump over to El Chapo or to Carlos Slim, calling respectively on figure/ground relations of socio-sexual capital of masculinity and of monetary capital.
Comparison of skin conductance with entropy during intubation, tetanic stimulation and emergence from general anaesthesia

Background: The number of skin conductance fluctuations (NSCF) expresses sympathetic skin nerve activity. The response entropy (RE) measures electromyographic and electroencephalographic activity in the forehead. The state entropy (SE) measures mainly electroencephalographic activity. When the suppression of frontal muscular activity is complete, RE is equal to SE. RE‐Δ is defined as SE minus RE. The purposes of this study were to examine whether NSCF and RE‐Δ correlate with signs of clinical stress during intubation and tetanic noxious stimulation and to elucidate how rapidly and accurately entropy and NSCF react during emergence from general anaesthesia.