Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Aligned Top-Gate Coplanar a-Si:H Thin-Film Transistors With a $\hbox{SiO}_{2}$–Silicone Hybrid Gate Dielectric

We have made self-aligned top-gate coplanar hydrogenated amorphous-silicon (a-Si:H) thin-film transistors using a SiO2-silicone hybrid material as the gate dielectric. The hybrid dielectric layer is 150 nm thick and separates a chromium gate electrode from nickel silicide source and drain. The nickel silicide is formed by rapid thermal reaction of a deposited nickel film with the underlying a-Si:H. The electron field-effect mobility is ~1.0 cm2/V · s, the subthreshold slope is ~380 mV/decade, and the ON/OFF current ratio is ~105. The gate leakage current of ~10 pA across the 150-nm-thick hybrid dielectric is ~1/10 of that observed across the typical 300-nm-thick SiNx dielectric. The whole process needs only two masks.
Lower bound on the spectrum of the Schr

We consider the Schrodinger operator in the plane with �-potential supported by a curve . For the cases of an infinite curve and a finite loop we g ive estimates on the lower bound of the spectrum expressed explicitly through the strength of the interaction and a parameter c() which characterizes geometry of the curve . Going further we cut the curve into finite number of pieces i and estimate the bottom of the spectrum using parameters c( i). As an application of the elabo- rated theory we consider a curve with a finite number of cusps and the general "leaky" quantum graph.
An evidence-based approach for Toponym Disambiguation

Toponym Disambiguation (TD) in Geographic Information Retrieval (GIR) systems is a crucial technique, which makes a direct impact on the quality of subsequent assignment of geographic focus to a document and that of establishment of spatial index as well as the effectiveness of the entire retrieval model as a whole. We explore the mechanism for human beings' dealing with the problem of TD. Human's way of TD follows some linguistic rules since that documents are organized according to these rules. From a linguistic perspective, involved rules fall into three categories: semantic rules, syntactic rules and pragmatic rules. In this paper we set our focus on semantic rules. Moreover, co-occurring toponyms without any ambiguity in the same context of document can be regarded as evidences or clues to support the process of TD. The candidate referent of a toponym that has the closest semantic relationship with the referent of co-occurring toponym as evidence in context is chosen as the intended one. To achieve this goal, the strength of semantic relationships among co-occurring toponyms is required to be computed properly. In response to this requirement, a model is proposed in this paper for the needed calculation. Combining the evidential effects of toponyms as evidences is essential when there are multiple of them in context. In this paper, we propose an evidence-based approach to fulfill the task of TD in two main steps: 1) calculate the semantic relationships between any two geographical referents based on a computing model of semantic relations among them; 2) use Dempster-Shafer (D-S) theory of evidence to combine multiple co-occurring toponyms as evidences. Finally, case studies are presented to evaluate the effectiveness of our approach.
The SoNLP-DP System in the CoNLL-2015 shared Task

This paper describes the submitted discourse parsing system of the natural language group of Soochow University (SoNLP-DP) to the CoNLL 2015 shared task. Our System classifies discourse relations into explicit and non-explicit relations and uses a pipeline platform to conduct every subtask to form an end-toend shallow discourse parser in the Penn Discourse Treebank (PDTB). Our system is evaluated on the CoNLL-2015 Shared Task closed track and achieves the 18.51% in F1-measure on the official blind test set.
Digital jewellery and family relationships

Ubiquitous computing technologies are defining an emerging cultural fabric that is becoming interwoven into everyday life and giving form to ‘digital culture’, through which human meaning and communication derives from the potentials of such technologies. As the pervasive and ambient computing agendas move forward, the possible augmentation of both physical space and the human body with small lightweight sensing and transmitting devices opens up many possibilities for new forms of communication, social interaction, digital experience and community involvement.
Serum Diagnosis of Pancreatic Adenocarcinoma Using Surface-Enhanced Laser Desorption and Ionization Mass Spectrometry

Purpose: Each year in the United States, ∼ 30,000 people die from pancreatic cancer. Fewer than 5% of patients survive >5 years after diagnosis, because most patients present with advanced disease. Early diagnosis may improve the prognosis of patients with pancreatic cancer. Experimental Design: In an attempt to improve on current approaches to the serological diagnosis of pancreatic cancer, we analyzed serum samples from patients with and without pancreatic cancer using surface-enhanced laser desorption and ionization (SELDI) protein chip mass spectrometry. Using a case-control study design, serum samples from 60 patients with resectable pancreatic adenocarcinoma were compared with samples from 60 age- and sex-matched patients with nonmalignant pancreatic diseases, as well as 60 age- and sex-matched healthy controls. To increase the number of proteins potentially identifiable, serum was fractionated using anion exchange and profiled on two ProteinChip surfaces (metal affinity capture and weak cation exchange). Results: We determined a minimum set of protein peaks able to discriminate between patient groups and used the unified maximum separability algorithm to compare the performance of the individual marker panels alone or in conjunction with CA19–9. Among the peaks identified by SELDI profiling that had the ability to distinguish between patient groups, the 2 most discriminating protein peaks could differentiate patients with pancreatic cancer from healthy controls with a sensitivity of 78% and specificity of 97%. These 2 markers performed significantly better than the current standard serum marker, CA19–9 (P < 0.05). The diagnostic accuracy of the 2 markers was improved by using them in combination with CA 19-9. Similarly, a combination of 3 SELDI markers and CA19–9 was superior to CA19–9 alone in distinguishing individuals with pancreatic cancer from the combined pancreatic disease controls and healthy subject groups (P = 0.078). SELDI markers were also better than CA19–9 in distinguishing patients with pancreatic cancer from those with pancreatitis. Conclusion: SELDI profiling of serum can be used to accurately differentiate patients with pancreatic cancer from those with other pancreatic diseases and from healthy controls.
Symmetry-aware Depth Estimation using Deep Neural Networks

Due to the abundance of 2D product images from the Internet, developing efficient and scalable algorithms to recover the missing depth information is central to many applications. Recent works have addressed the single-view depth estimation problem by utilizing convolutional neural networks. In this paper, we show that exploring symmetry information, which is ubiquitous in man made objects, can significantly boost the quality of such depth predictions. Specifically, we propose a new convolutional neural network architecture to first estimate dense symmetric correspondences in a product image and then propose an optimization which utilizes this information explicitly to significantly improve the quality of single-view depth estimations. We have evaluated our approach extensively, and experimental results show that this approach outperforms state-of-the-art depth estimation techniques.
Some properties of the Kerr solution to low energy string theory.

Gravity Research Group, Nuclear Safety InstituteRussian Academy of Sciences, B.Tulskaya 52, 113191 Moscow, RussiaAbstractThe Kerr solution to axidilaton gravity is analyzed in theDebney–Kerr–Schild formalism. It is shown that the Kerr princi-pal null congruence retains its property to be geodesic and shearfree, however, the axidilatonic Kerr solution is not algebraicallyspecial. A limiting form of this solution is considered near thering-like Kerr singularity. This limiting solution coincides withthe ﬁeld of fundamental heterotic string obtained by Sen [2, 3].
RISK OF SENSORY-MOTOR PERFORMANCE FAILURES AFFECTING VEHICLE CONTROL DURING SPACE MISSIONS: A REVIEW OF THE EVIDENCE

Paloski, W.H. , C.M. Oman, J.J. Bloomberg, M.F. Reschke, S.J. Wood, D.L. Harm, B.T. Peters, A.P. Mulavara, J.P. Locke, and L.S. Stone. Risk of sensory-motor performance failures affecting vehicle control during space missions: a review of the evidence. J. Grav. Physiol. 15(2):1-29, 2008. – NASA’s Human Research Program (HRP) has identified a number of potentially significant biomedical risks that might limit the agency’s plans for future space exploration, including missions back to the Moon and on to Mars. Among these risks is the: “Risk of Impaired Ability to Maintain Control of Vehicles and Other Complex Systems. ” We examine the various dimensions of this risk by reviewing the research and operational evidence demonstrating sensory-motor performance decrements during space flight that might affect vehicle and complex system control, including decreased visual acuity, eye-hand coordination, spatial and geographic orientation perception, and cognitive function. Furthermore, we evaluate this evidence to identify the current knowledge gaps that must be filled through further research and/or data mining efforts before the risk can be fully mitigated. We conclude that the true operational risks associated with the impacts of adaptive sensorymotor changes on crew abilities to control vehicles and other complex systems will only be estimable after the gaps have been filled and we have been able to accurately assess integrated performance in off-nominal operational settings.
Contribution of Cytochrome P450 and ABCB1 Genetic Variability on Methadone Pharmacokinetics, Dose Requirements, and Response

Although the efficacy of methadone maintenance treatment (MMT) in opioid dependence disorder has been well established, the influence of methadone pharmacokinetics in dose requirement and clinical outcome remains controversial. The aim of this study is to analyze methadone dosage in responder and nonresponder patients considering pharmacogenetic and pharmacokinetic factors that may contribute to dosage adequacy. Opioid dependence patients (meeting Diagnostic and Statistical Manual of Mental Disorders, [4th Edition] criteria) from a MMT community program were recruited. Patients were clinically assessed and blood samples were obtained to determine plasma concentrations of (R,S)-, (R) and (S)- methadone and to study allelic variants of genes encoding CYP3A5, CYP2D6, CYP2B6, CYP2C9, CYP2C19, and P-glycoprotein. Responders and nonresponders were defined by illicit opioid consumption detected in random urinalysis. The final sample consisted in 105 opioid dependent patients of Caucasian origin. Responder patients received higher doses of methadone and have been included into treatment for a longer period. No differences were found in terms of genotype frequencies between groups. Only CYP2D6 metabolizing phenotype differences were found in outcome status, methadone dose requirements, and plasma concentrations, being higher in the ultrarapid metabolizers. No other differences were found between phenotype and responder status, methadone dose requirements, neither in methadone plasma concentrations. Pharmacokinetic factors could explain some but not all differences in MMT outcome and methadone dose requirements.
Optimized code generation of multiplication-free linear transforms

We present code generation of multiplication-free linear transforms targeted to single-register DSP architectures such as TMS320C2x/C5x. We first present an algorithm to generate optimized code from a DAG representation. We then present techniques that transform a DAG so as to minimize the number of nodes and the accumulator-spills. We then introduce a concept of spill-free DAGs and present an algorithm for synthesizing such DAGs. The results for Walsh-Hadamard, Haar and Slant transforms show 25% to 40% reduction in the cycle count using our techniques.
A Reduced-Complexity Demapping Algorithm for BICM-ID Systems

As a highly efficient decoding and demodulation scheme, bit-interleaved coded modulation (BICM) is widely adopted in modern communication systems. In order to enhance the attainable spectral efficiency, usually, high-order modulation schemes are used for BICM systems. When BICM is combined with iterative decoding (BICM-ID), it is capable of further improving the achievable receiver performance. However, the complexity of the standard max-sum approximation of the maximum aposteriori probability in log-domain (Max-Log-MAP) invoked by the iterative demapper is on the order of 2m or O(2m) for a 2m-ary modulation constellation having m bits per symbol, which may become excessive for high-order BICM-ID systems. The existing simplified algorithms employed for noniterative demappers are based on exploiting the constellation's symmetry, which is no longer retained upon the introduction of the a priori information in BICM-ID systems. Hence, in this paper, a simplified iterative demapping algorithm is proposed to substantially reduce the demapping complexity for a binary-reflected Gray-labeled constellation. Our detailed analysis shows that the simplified demapping scheme proposed for BICM-ID reduces the computational complexity to O(m). We demonstrate that this dramatic computational complexity only imposes modest performance degradation with respect to that of the optimal high-complexity Max-Log-MAP scheme.
Localizing Volatilities

We propose two main applications of Gy¨ongy (1986)’s construction of inhomogeneous Markovian stochastic diﬀerential equations that mimick the one-dimensional marginals of continuous Itˆo processes. Firstly, we prove Dupire (1994) and Derman and Kani (1994)’s result. We then present Bessel-based stochastic volatility models in which this relation is used to compute analytical formulas for the local volatility. Secondly, we use these mimicking techniques to extend the well-known local volatility results to a stochastic interest rates framework
Optimizing MaltParser for Italian and Catalan

This report documents the process and presents the results of optimizing the MaltParser system for Italian and Catalan, two of the languages included in the multilingual track of the CoNLL 2007 shared task on dependency parsing. We summarize the optimization process and explain the most important MaltParser parameters. We further report notable improvements during development and present the officially reported results.
The circumstellar environment of low-mass protostars: A millimeter continuum mapping survey ?

We present a complete 1.3 mm continuum mapping survey of the embedded young stellar objects (YSOs) in the Taurus molecular cloud. We have also imaged several isolated Bok globules, as well as protostellar objects in the Perseus cluster. Our maps, taken with the IRAM 30 m telescope and the MPIfR bolometer arrays, are sensitive to the column density structure of the sources on spatial scales ranging from 1 500{5 000 AU to > 15 000{50 000 AU. For the protostellar envelopes mapped in Taurus, the results are roughly consistent with the predictions of the self-similar inside-out collapse model of Shu and collaborators. The envelopes observed in Bok globules are also qualitatively consistent with these predictions, providing the eects of magnetic pressure are included in the model. By contrast, the envelopes of Class 0 protostars in Perseus have nite radii < 10 000 AU and are a factor of 3 to 12 denser than is predicted by the standard model. In cluster-forming regions, individual protostellar collapse thus appears to be induced in compact condensations resembling more nite-sized Bonnor- Ebert condensations than singular isothermal spheres. Accordingly, the beginning of protostellar evolution is suggested to be more violent, with larger accretion rates, in protoclusters compared to regions of distributed star formation like Taurus. Follow-up line observations of the envelopes' velocity elds are required to conrm this suggestion. We also nd that roughly half of the Class I infrared sources of Taurus are either at the very end of the main accretion phase or already in the pre-main sequence phase. These sources are surrounded by only remnant, nite-sized envelopes (M 4200 AU env < 0:01 M and Rout < 1 500 AU). Lastly, our 1.3 mm continuum images reveal the presence of new candidate pre-stellar condensations and/or Class 0 protostars in the close environment of 8 Taurus Class I YSOs, 2 Bok globules, and 3 Perseus protostars.
Unified Tensor Modeling for Blind Receivers in Multiuser Uplink Cooperative Systems

In this letter, we present new blind receivers for uplink multiuser cooperative diversity systems. Considering amplify-and-forward (AF), fixed decode-and-forward (FDF), and selective decode-and-forward (SDF) relaying protocols, the proposed receivers exploits a unified formulation of the received signal as a CANDECOMP/PARAFAC (CP) model with dimensions receive antenna ×cooperative branch × symbol period. Under the assumption that channel state information (CSI) is not available neither at the relays nor at the base station, the proposed receiver jointly and blindly estimates the transmitted symbols and channel parameters. In addition to avoiding the use of pilots symbols, the CP-based receiver can operate with less base station antennas than users or, alternatively, with a single relay per user.
Low-Complexity Nanosensor Networking Through Spike-Encoded Signaling

The Internet of Nano-Things will employ wireless sensor nodes that are not only extremely small in size and large in number but also severely restricted in their power supply. While a large part of the design of such networks will rely on the engineering of physical aspects, such as developing technology for efficient energy harvesting, sensing, and communication, a significant role will also be played by the algorithms underlying the operation of nodes to ensure that optimal use is made of the limited supply of energy. This paper discusses concepts that will facilitate the design of such algorithms, such as spike-based encoding of signals and data aggregation through gossiping. We propose a method to extract information from a sensor network using nonpacket spike-based communication with local interactions between nodes. Rather than gathering sensor values from each individual node and sending them to a central destination node, measurements from the nodes are processed through the interactions between nodes, while diffusing in the network, to obtain an integrated value characteristic for all nodes' measurements.
Personal Style Inventory Item Revision : Confirmatory Factor Analysis

This research was a team effort of Enzo Valenzi and myself. I'm deeply grateful to Enzo for his years of statistical contributions to the development of the PSI. Abstract This study was designed to revise the six scales of the Personal Style In-items for each scale were evaluated using the confirmatory factor analysis procedure of structural equation modeling as implemented in LISREL 8. Each item pool contained the original five items for each scale plus ten items constructed to supplement the original five. Using a convenience sample of 322 subjects, a revised set of five items was chosen from the 15 item pool for each scale. Several fit measures were examined to determine the adequacy of the model with the revised scales. Measurement model factor loadings were used to evaluate validity and reliability. A test-retest analysis of a 46 subject subsample, coefficient alphas, construct reliabilities, chi-square differences, model φ values, and confidence intervals were used to assess reliability, internal consistency, and discriminant validity. It was concluded that the revised scales were a significant improvement over the existing scales.
PRO: Preference-Aware Recurring Query Optimization

While recurring queries over evolving data are the bedrock of the analytical applications, resources demanded to process a large amount of data for each recurring execution can be a fatal bottleneck in cost-sensitive cloud computing environments. It is thus imperative to design a system responsive to users' preferences regarding how resources should be utilized. In this work, we propose PRO, a preference-aware recurring query processing system that optimizes recurring query executions complying with user preferences. First, we show that finding an optimal is an NP-complete problem due to the cost interdependencies between consecutive executions. We propose an execution relation graph (ERG) model that effectively incorporates these dependencies between executions. This model enables us to transform our problem into a well-known graph problem. We then design a graph-based approach (called PRO-OPT) leveraging dynamic programming and pruning techniques with pseudo-polynomial complexity. Our experiments confirm that PRO consistently outperforms state-of-the-art solutions by 9 fold in processing time under a rich variety of circumstances on the Wikipedia datasets.
Grifonin-1: A Small HIV-1 Entry Inhibitor Derived from the Algal Lectin, Griffithsin

Background Griffithsin, a 121-residue protein isolated from a red algal Griffithsia sp. , binds high mannose N-linked glycans of virus surface glycoproteins with extremely high affinity, a property that allows it to prevent the entry of primary isolates and laboratory strains of T- and M-tropic HIV-1. We used the sequence of a portion of griffithsin's sequence as a design template to create smaller peptides with antiviral and carbohydrate-binding properties. Methodology/Results The new peptides derived from a trio of homologous β-sheet repeats that comprise the motifs responsible for its biological activity. Our most active antiviral peptide, grifonin-1 (GRFN-1), had an EC50 of 190.8±11.0 nM in in vitro TZM-bl assays and an EC50 of 546.6±66.1 nM in p24gag antigen release assays. GRFN-1 showed considerable structural plasticity, assuming different conformations in solvents that differed in polarity and hydrophobicity. Higher concentrations of GRFN-1 formed oligomers, based on intermolecular β-sheet interactions. Like its parent protein, GRFN-1 bound viral glycoproteins gp41 and gp120 via the N-linked glycans on their surface. Conclusion Its substantial antiviral activity and low toxicity in vitro suggest that GRFN-1 and/or its derivatives may have therapeutic potential as topical and/or systemic agents directed against HIV-1.
Consequences of Routine Work-Schedule Instability for Worker Health and Well-Being

Research on precarious work and its consequences overwhelmingly focuses on the economic dimension of precarity, epitomized by low wages. But the rise in precarious work also involves a major shift in its temporal dimension, such that many workers now experience routine instability in their work schedules. This temporal instability represents a fundamental and under-appreciated manifestation of the risk shift from firms to workers. A lack of suitable existing data, however, has precluded investigation of how precarious scheduling practices affect workers’ health and well-being. We use an innovative approach to collect survey data from a large and strategically selected segment of the U.S. workforce: hourly workers in the service sector. These data reveal that exposure to routine instability in work schedules is associated with psychological distress, poor sleep quality, and unhappiness. Low wages are also associated with these outcomes, but unstable and unpredictable schedules are much more strongly associated. Precarious schedules affect worker well-being in part through the mediating influence of household economic insecurity, yet a much larger proportion of the association is driven by work-life conflict. The temporal dimension of work is central to the experience of precarity and an important social determinant of well-being.