Miracle-dz/UniFAR-FTUs huggingface dataset:
Interference Recycling: Exploiting Interfering Signals to Enhance Data Transmission

With the rapid development of wireless communication technologies, the demand for higher data rate and more concurrent transmissions has been continually increasing. Due to the widespread deployment of various wireless technologies, interference has become a key roadblock to the improvement of network performance. Interference has long been known to be harmful, leading to development of numerous interference management (IM) mechanisms based on resource segmentation or signal processing to mitigate or suppress interference. Since a desired signal can be distorted by interference, and thus be incorrectly decoded at the destination, we argue that interference can also be transformed intentionally to extract the desired data from interfering signal(s). Based on this observation, we propose Interference ReCycling (IRC). Under IRC, a recycling signal is generated with the interference a victim receiver (Rx) is subjected to, and then sent by the Rx’s associated transmitter (Tx). Under the influence of the recycling signal, the desired data of the victim Tx–Rx pair can be recovered from the interference at the victim Rx. That is, by exploiting the interactions among multiple signals, i.e., recycling signal and interference, useful data information can be extracted from interference, or the unintended data carried in interference can be artificially converted to the desired one. Our theoretical analysis and numerical evaluation have shown that the proposed IRC can fully exploit interference, and hence can significantly improve the spectral efficiency (SE) of the victim Rx compared to the other existing IM methods.
Gravity ’ s Action on Light

G ravitational lensing is the action of gravity on light. The subject has become a vibrant area in astronomy and mathematical physics with great predictive power. The field cuts across geometry, topology, probability, and singularity theory and interconnects mathematics, physics, and astrophysics. The first part of this article gives an introduction to the subject with a review of standard results. The rest of the paper brings the reader to the mathematical forefront of the subject with a treatment of some recent researchfindings and unsolved problems. In addition, the interdisciplinary features of gravitational lensing are highlighted through the following topics: stability and genericity in lens systems, deterministic and stochastic aspects of image counting, local and global geometry of caustics and cosmic shadow patterns, and magnification relations for stable caustics. We add that the article on lensing by Khavinson and Neumann [40] in the June/July 2008 Notices complements this one and was focused primarily on the link between the maximum number of zeros of complex rational harmonic functions and the gravitational lensing problem of the maximum number of lensed images. Our story begins with Einstein.
A Dichotomy of Visual Relations

Convolutional neural networks (CNNs) have achieved state-of-the-art performance in image classification (He et al., 2015). However, a growing body of work indicates that CNNs still struggle on visual rule-learning tasks (Fleuret et al., 2011; Gülçehre & Bengio, 2013; Ellis et al., 2015). Currently, our understanding of precisely which rule-based problems are hard or easy for CNNs is limited. Here, we conducted a systematic analysis of CNN performance on the 23 problems of the Synthetic Visual Reasoning Test (SVRT), while varying network hyperparameters. We find that one group of SVRT problems is easily solved by most networks, whereas another group is not solved at all. We propose that the soluble problems of this dichotomy rely only on spatial relations. Intractable problems, on other hand, require same-different judgments, in which image regions must be compared. We conclude by sketching a novel cognitive architecture designed to solve visual reasoning problems.
Engaging aesthetically with tapa barkcloth in the museum

ABSTRACT Tapa barkcloth was a fabric replete with materialities of cultural and aesthetic values in 18th- and 19th-century Oceania. In the modern ethnographic museum, remote in time (and frequently space) from its origin, what remains to be appreciated cross-culturally? I think through a tripartite model here, in which certain aesthetic responses are taken as universal, others as shaped by cross-cultural materialities, and yet others as dependent upon the spatiotemporal contexts of creation and appreciation.
0829 Sleep, Chronic Pain, and Global Health in Adults Ages 65 or Older

Understanding the association of sleep and pain in older adults can help improve their global health. The purpose of the study was to describe the associations between sleep, chronic pain, and global health in adults ages 65 or older. This study was a secondary analysis of data from adults over 65 years in the 2015 Sleep in America Poll - Sleep and Pain by the National Sleep Foundation (NSF). The survey included demographics (age, race, marital status, education), sleep (duration, quality, insomnia symptoms), and pain (type [none, chronic, fleeting], intensity, location). Global health derived from general health, physical health, mental health, and quality of life with a potential range of 4-20; higher score=better health. The survey also queried fatigue and stress. The sample (N=248) was 65-91 years (mean age=72.8±5.9), male (53.6%), White (82.7%), married (65.7%), and with post-highschool education (54.4%). Average sleep duration was 425±74 minutes. “No pain” was reported by 38.7% of the sample (n=96), “fleeting pain” by 32.7% (n= 81), and “chronic pain” by 28.6% (n=71). The most common locations for chronic pain were shoulder or neck (63.2%) and back (69.4%). Average global health score was 9.8±2.9. There was no significant difference in time in bed, sleep duration, bedtime, or wake-up time between groups. Persons with chronic pain had higher average pain intensity, worst pain intensity, and current pain; they reported significantly lower sleep quality with significantly more restlessness, trouble staying asleep, and worry about getting a good night sleep (all p-values<.02), there was no significant difference in difficulty falling asleep compared to persons with no pain. Persons with chronic pain had significantly worse general health, physical health, mental health, global health, fatigue, and stress (all p-values<.02); but no significant difference in quality of life compared to persons with no pain. We conclude that chronic pain has a significant negative impact on sleep and global health in the sample of adults ages 65 or older from the 2015 Sleep in America Poll - Sleep and Pain by the NSF. Undergraduate Research Mentoring Program, University of Pittsburgh School of Nursing.
A passive filtering solution for overvoltage mitigation in doubly fed induction generator–based wind system fed by long power cable

The inclusion of the latest generation of semiconductor switches in today’s wind farms allows high-frequency pulse width modulation. When the cable that connects the power inverter to the rotor of a doubly fed induction generator is long, the impedance mismatch between it and the rotor leads to overvoltage spikes at the terminals of this last. Such high voltage would cause the deterioration of the rotor winding or the cable insolation. For this reason, it is mandatory to solve this problem. Active and passive filters are considered as classical solutions for this issue. In this context, this article proposes an “RL” filter dedicated to suppress this overvoltage spikes. The design methodology and system modeling are presented in detail. To show the effectiveness of our proposal, a simulation is performed under ANSYS Simplorer. An accurate time-domain model of the cable is used to check the robustness of the filter. The obtained results validate the proposed filtering solution.
The enzymatic activities of brain COMT and methionine sulfoxide reductase are correlated in a COMT Val / Met allele-dependent fashion

Aims—The enzyme catechol-O-methyl transferase (COMT) plays a primary role in the metabolism of catecholamine neurotransmitters and is implicated in the modulation of cognitive and emotional responses. The best-characterized single nucleotide polymorphism (SNP) of the COMT gene consists of a valine (Val)-to-methionine (Met) substitution at codon 108/158. The Met-containing variant confers a marked reduction in COMT catalytic activity. We recently showed that the activity of recombinant COMT is positively regulated by the enzyme Met sulfoxide reductase (MSR), which counters the oxidation of Met residues of proteins. The current study was designed to assess whether brain COMT activity may be correlated to MSR in an alleledependent fashion. Methods—COMT and MSR activities were measured from post-mortem samples of prefrontal cortices, striata and cerebella of 32 subjects, by using catechol and dabsyl-Met sulfoxide as substrates, respectively. Allelic discrimination of COMT Val108/185Met SNP was performed using the Taqman 5’nuclease assay. Results—Our studies revealed that, in homozygous carriers of Met, but not Val alleles, the activity of COMT and MSR were significantly correlated throughout all tested brain regions. Corresponding author and reprint request: Jackob Moskovitz, PhD, Department of Pharmacology and Toxicology, University of Kansas, 1251 Wescoe Hall Dr., Lawrence, KS 66045, USA. Phone: 785-864-3536; Fax: 785-864-5219; moskovij@ku.edu. Author contributions Study design: JM, MB Postmortem brain autopsies: DAC, PMT Genotyping: CWB Msr and COMT activity assays: JM, JH Data analysis: JM, MB Writing: JM, MB Statement of conflict of Interest: The authors declare no competing financial interests. HHS Public Access Author manuscript Neuropathol Appl Neurobiol. Author manuscript; available in PMC 2015 December 01. Published in final edited form as: Neuropathol Appl Neurobiol. 2015 December ; 41(7): 941–951. doi:10.1111/nan.12219. A uhor M anscript
Spatial Variation of Reactive Nitrogen Emissions From China's Croplands Codetermined by Regional Urbanization and Its Feedback to Global Climate Change

Reactive gaseous nitrogen (Ngr) emissions significantly affect Earth's climate system. Disagreement exists, however, over Ngr contributions to short‐ versus long‐term climate forcing, from local to global scales and among different gaseous forms, including NH3, NOx, and N2O. Here, we provide a comprehensive inventory of Ngr from China's croplands based on a new bottom‐up, mass flow‐based approach integrated with fine‐resolution agricultural activity data and nitrogen emission factors. We demonstrate that China's croplands emit about 8.87 Tg N to the atmosphere in 2014. Across different prefectures, Ngr emission per capita conforms to a “Kuznets curve,” that is, first increases then decreases, along the gradient of increasing urbanization. Ngr emission per gross domestic productivity (GDP) decreases exponentially with increasing urbanization or per capita GDP. Furthermore, climate change impact analyses suggest that the global‐scale warming effect of China's cropland N2O emissions dominate over local cooling effects ascribed to its NH3 and NOx emissions.
MATE MATE MATE MATE MATE MATE MATE MATE MATE MATE MATE MATE MATE MATE MATE MATAE MATE MATE MATE MATE MATE MATE MATE RoboCity16 Open Conference on Future Trends in Robotics

Multiple robot, single operator scenarios suppose a challenge in terms of human factors. Two relevant issues are keeping the situational awareness and managing the workload of operators. In order to address these prob-lems, this work analyses the management of information and commands in multi-robot missions. About the information, this paper proposes a selection based on mission and operator states. Regarding the commands, this work reflects about the levels of automation and the methods of commanding.
Comparative Analysis of Molecular Methods for Detection of Influenza Viruses

Aims: Influenza is a serious threat to human population worldwide therefore continuous surveillance is required to update influenza seasonal vaccines. A rapid, sensitive, specific and cost effective diagnostic method will be much helpful for patient management in the present scenario. Present study is conceptualized for detection of influenza viruses by molecular methods and compare with ‘gold standard’ virus isolation. Study Design: Standard strains of Influenza virus were used to standardize the molecular diagnostic assays and results were then compared with virus isolation. Place and Duration of Study: Centre for Biotechnology, Maharshi Dayanand University, Rohtak, Haryana, India, between December 2015 and April 2016. Methodology: Standard strains of Influenza A and B virus were used for influenza virus isolation using virus culturing in MDCK (Madin-Darby Canine Kidney) cell line by following standard tissue culture procedure. Isolated viruses were detected by Hemagglutination assay (HA) and typed by Hemagglutination inhibition assay (HI). Conventional one step RT-PCR, Taqman real time RT-PCR and RT-LAMP (Reverse transcription loop mediated isothermal amplification) were standardized on RNA extracted from standard strains. Sensitivity and specificity of these molecular methods were Original Research Article Sharma and Kaushik; BMRJ, 17(3): 1-10, 2016; Article no.BMRJ. 28858 2 compared with each other as well as with virus culture (gold standard). Results: Both influenza A and B virus strains were cultured in MDCK cells and produced cytopathic effect during virus culture. Conventional RT-PCR and real time RT-PCR detected both type of Influenza viruses. RT-LAMP also successfully detected and typed influenza viruses. RTLAMP proved to be more rapid than other two molecular assays. Conclusion: Molecular diagnostic methods are useful in detection and typing of Influenza viruses and these methods provide results in short period of time when compared with traditional virus culture methods. RT-LAMP is rapid, sensitive, specific and cost effective method for influenza virus detection and subtyping.
Which came first: the money or the rank?

Global university rankings are provided by several organisations based on various cri- teria, most of which are, directly or indirectly, related to the wealth of the university. The main objec- tive of this work was to examine the effect of money on rankings and vice versa. First, we examined the relationship between global university rankings and professors' salaries and found an asymptotic trend for all ranks of professors across the top 200 US universities, but no trend for the top Canadian universities. Second, we examined the relationship between global university rankings and univer- sity income and found a positive trend for UK and Canadian universities. Our results are consistent with the hypothesis that the funding (as well as autonomy and support of the state) of a university and its position in global rankings are related. We maintain that European universities in several coun- tries will not make it into the top 100 list unless their autonomy and public funding are increased. Instead, the recent decrease in public funding of universities in many European countries, as a result of the economic crisis, threatens to push these institutions further down the ranking lists.
Detecting Steganography

The aim of this project is to assess the nondetectability of slightly modified version of the linguistic steganography approach described in the paper Generating Steganographic Text with LSTMs [1] by classifying whether a tweet was generated by a regular user or by this steganographic method. For that purpose, both a fastText supervised classification and a user study are conducted.
Tetrahedral Shell Tesselation and Methods for Surface Mesh Extrusion

A thin shell tetrahedra shell mesh is attractive because it is a volume representation of a surface mesh with a very low tetrahedral count. Other algorithms used for tetrahedra mesh generation creates volume meshes with a high tetrahedral count. From a performance viewpoint this is not always desirable, especially in the case of animation or other applications where accuracy of numerical simulations is not of importance. The thin tetrahedral shell mesh also finds applications in other areas such as shell maps [16] and signed distance field computation (T4 GPU scan [11]). In this work we extend on past work in this area with two major contributions: A deterministic linear time tessellation algorithm, yielding consistent tetrahedral meshes robust towards several connected components and holes in the original surface mesh, and we survey several methods for surface extrusion in order to overcome the coupled root-search problem from past work, which lead to poor convergence rate.
Effect of Phosphoric Acid Modification on Characteristics of Rice Husk Activated Carbon

Activated carbon was produced from rice husk via thermal pretreatment preceding chemical modification with phosphoric acid. In order to study the effect of phosphoric acid modification, the characteristics of the activated carbon produced were determined before and after acid modification and subsequently compared. These characteristics include surface morphology, surface functional groups, surface area, average pore diameter and pore volume. Characterization results showed that modification of the thermally treated rice husk with phosphoric acid enhanced the surface area of the activated carbon from 12.47 to 102.4m/g. The average pore diameter was also enhanced from 2.4 to 1.82nm. It also shows improvement in micropore volume from 0.0052 to 0.034cm/g. SEM analysis confirmed the improvement in surface area and pore development resulting from the phosphoric acid modification while FTIR analysis revealed the existence of phosphorous-oxy-containing functional groups on the surface of the phosphoric acid modified activated carbon. doi: 10.5829/idosi.ijee. 2015.06. 01.05
Improving the Accuracy of Spectrum-Based Fault Localization Using Multiple Rules

SUMMARY Software fault localization, as one of the essential activities in program debugging, aids to software developers to identify the locations of faults in a program, thus reducing the cost of program debugging. Spectrum-based fault localization (SBFL), as one of the representative localization techniques, has been intensively studied. The localization technique calculates the probability of each program entity that is faulty by a certain suspiciousness formula. The accuracy of SBFL is not always as satisfactory as expected because it neglects the contextual information of statement executions. Therefore, we proposed 5 rules, i.e., random , the maximum coverage , the minimum coverage , the maximum distance , and the minimum distance , to improve the accuracy of SBFL for further. The 5 rules can e ﬀ ectively use the contextual information of statement executions. Moreover, they can be implemented on the traditional SBFL techniques us-ing suspiciousness formulas with little e ﬀ ort. We empirically evaluated the impacts of the rules on 17 suspiciousness formulas. The results show that all 5 rules can signiﬁcantly improve the ranking of faulty statements. Particularly, for the faults di ﬃ cult to locate, the improvement is more remarkable. Generally, the rules can e ﬀ ectively reduce the number of statements examined by an average of more than 19%. Compared with other rules, the minimum coverage rule generates better results. This indicates that the application of the test case having the minimum coverage capability for fault localization is more e ﬀ ective.
Convolutional Networks for Stock Trading

Convolutional neural networks have revolutionized the field of computer vision. In these paper, we explore a particular application of CNNs: namely, using convolutional networks to predict movements in stock prices from a picture of a time series of past price fluctuations, with the ultimate goal of using them to buy and sell shares of stock in order to make a profit.
Title Up-regulation of miR-582-5 p regulates cellular proliferation ofprostate cancer cells under androgen-deprived conditions

Right This is the peer reviewed version of the following article: Maeno, A. , Terada, N. , Uegaki, M. , Goto, T. , Okada, Y. , Kobayashi, T. , Kamba, T. , Ogawa, O. and Inoue, T. (2014), Up-regulation of miR-582-5p regulates cellular proliferation of prostate cancer cells under androgen-deprived conditions. Prostate, 74: 1604‒1612, which has been published in final form at http://dx.doi. org/10.1002/pros.22877. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. ; 許諾条件により本 文ファイルは2015-08-29に公開. ; この論文は出版社版であ りません。 引用の際には出版社版をご確認ご利用くださ い。 This is not the published version. Please cite only the published version.
Discontinuation of contraceptives and method switching in rural Bangladesh

Since 1993, in Bangladesh the total fertility rate has almost been stable at 3.3 births per woman, although contraceptive prevalence rates are increasing at 7 percent per year. Discontinuation of contraceptive use has been identified as a major contributor to the stagnation of the TFR. Frequent switching of methods also result in unwanted pregnancies. This study investigates the pattern and reasons for discontinuation and switching of contraception in an MCH-FP area in rural Bangladesh using longitudinal data for the period of 1988-98.Using multiple –decrement life tables, it was found that discontinuation was significantly related to the contraceptive method , duration of use, incidence of side effects, education of the woman and her religion. Follow up and lack of quality care were associated with switching of methods. The study recommends further emphasis on girls completing their secondary education for increased management of contraceptive careers.
Multi-Objective Particle Swarm Optimization with Dynamic Crowding Entropy-Based Diversity Measure

A multi-objective particle swarm optimization with dynamic crowding entropy-based diversity measure is proposed in this paper. Firstly, the elitist strategy is used in external archive in order to improve the convergence of this algorithm. Then the new diversity strategy called dynamic crowding entropy strategy and the global optimization update strategy are used to ensure sufficient diversity and uniform distribution amongst the solution of the non-dominated fronts. The results show that the proposed algorithm is able to find better spread of solutions with the better convergence to the Pareto front and preserve diversity of Pareto optimal solutions the more efficiently.
The supply chains of organic products : an empirical analysis of the processing sector in six EU Mediterranean regions

The paper considers six EU Nuts II regions (Lombardy and Tuscany for Italy, Rhone-Alpes and Paca for France, Catalunya and Murcia for Spain) and studies the processing sector of organic products, investigating its links with agriculture and the retailing sector. The choice of these regions is due to the fact that the analysis is linked to a European project concerning cohesion among Mediterranean countries. The purpose is to analyze the processing sector of organic products in terms of firm capabilities to perform a quality management strategy and to analyze the vertical coordination in the organic supply chains. The survey was carried out on a sample of 304 firms stratified on the basis of the six regions involved in the study. Results showed the importance of the assurance of product safety and quality for organic-products processing-firms. The instruments for undergoing quality management are focused on specific regulations and controls. Specialized shops, direct sales, and supermarkets represent the main trade channels for organic products.