Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobility Limitation and Changes in Personal Goals Among Older Women.

OBJECTIVES Several theoretical viewpoints suggest that older adults need to modify their personal goals in the face of functional decline. The aim of this study was to investigate longitudinally the association of mobility limitation with changes in personal goals among older women. METHOD Eight-year follow-up of 205 women aged 66-78 years at baseline. RESULTS Health-related goals were the most common at both measurements. Goals related to independent living almost doubled and goals related to exercise and to cultural activities substantially decreased during the follow-up. Higher age decreased the likelihood for engaging in new goals related to cultural activities and disengaging from goals related to independent living. Women who had developed mobility limitation during the follow-up were less likely to engage in new goals related to exercise and more likely to disengage from goals related to cultural activities and to health and functioning. DISCUSSION The results of this study support theories suggesting that age-related losses such as mobility limitation may result in older adults modifying or disengaging from personal goals.
Urban extreme rainfall events: categorical skill of WRF model simulations for localized and non‐localized events

An objective method is used for determining the rainfall threshold for identifying extreme rainfall events (EREs) over the urban city, Bangalore, using observed rainfall data for a period of 35 years (1971–2005). Using this threshold, 52 EREs were identified during the period 2010–2014 using high‐resolution rain‐gauge observations. From these EREs, 15 localized and non‐localized events were chosen based on spatial distribution to examine the forecast skill of the Weather Research and Forecasting (WRF) model. Apart from the conventional verification methods, a number of skill scores and indices were defined for a comprehensive evaluation of rainfall model skill. In general, the forecast underpredicted the magnitude of localized and non‐localized EREs for the majority of cases; however, the model overpredicted light rainfall (≤10 mm day−1). The model showed a success rate of 59% in simulating light rainfall for localized EREs while 12% of events were missed and 29% were wrongly predicted. The success rate was significantly reduced at higher rainfall categories for localized and non‐localized EREs, where the forecast missed the majority of rainfall events. The Reliability Index (RI) computed clearly showed that model skill is relatively higher for non‐localized EREs compared to localized EREs. The average forecast reliability for non‐localized and localized EREs were 74 and 51%, respectively. For localized EREs, model skill is relatively higher in rainfall location prediction (61%) compared to area (44%) and intensity (46%) prediction; while in the case of non‐localized EREs, model skill is similar for location, intensity and area prediction. It is found that coupling an urban canopy model with WRF reduces the model errors particularly for lower rainfall thresholds.
Numerical Algorithms in Algebraic Geometry with Implementation in Computer Algebra System SINGULAR

Polynomial systems arise in many applications: robotics, kinematics, chemical kinetics, computer vision, truss design, geometric modeling, and many others. Many polynomial systems have solutions sets, called algebraic varieties, having several irreducible components. A fundamental problem of the numerical algebraic geometry is to decompose such an algebraic variety into its irreducible components. The witness point sets are the natural numerical data structure to encode irreducible algebraic varieties. Sommese, Verschelde and Wampler represented the irreducible algebraic decomposition of an affine algebraic variety \(X\) as a union of finite disjoint sets \(\cup_{i=0}^{d}W_i=\cup_{i=0}^{d}\left(\cup_{j=1}^{d_i}W_{ij}\right)\) called numerical irreducible decomposition. The \(W_i\) correspond to the pure i-dimensional components, and the \(W_{ij}\) represent the i-dimensional irreducible components. The numerical irreducible decomposition is implemented in BERTINI. We modify this concept using partially Grobner bases, triangular sets, local dimension, and the so-called zero sum relation. We present in the second chapter the corresponding algorithms and their implementations in SINGULAR. We give some examples and timings, which show that the modified algorithms are more efficient if the number of variables is not too large. For a large number of variables BERTINI is more efficient. Leykin presented an algorithm to compute the embedded components of an algebraic variety based on the concept of the deflation of an algebraic variety. Depending on the modified algorithm mentioned above, we will present in the third chapter an algorithm and its implementation in SINGULAR to compute the embedded components. The irreducible decomposition of algebraic varieties allows us to formulate in the fourth chapter some numerical algebraic algorithms. In the last chapter we present two SINGULAR libraries. The first library is used to compute the numerical irreducible decomposition and the embedded components of an algebraic variety. The second library contains the procedures of the algorithms in the last Chapter to test inclusion, equality of two algebraic varieties, to compute the degree of a pure i-dimensional component, and the local dimension.
Structure of the Wnt-Frizzled-LRP6 initiation complex reveals the basis for co-receptor discrimination

Wnt morphogens are critical for embryonic development and tissue regeneration. Canonical Wnts form ternary receptor complexes composed of tissue-specific Frizzled receptors together with the shared LRP5/6 co-receptors to initiate β-catenin signaling. The structure of a ternary complex of an affinity-matured XWnt8-Frizzled8-LRP6 complex elucidates the basis of co-receptor discrimination by canonical Wnts by means of their N-termini and linker domains that engage the LRP6 E1E2 domain funnels. Chimeric Wnts bearing modular linker ‘grafts’ were able to transfer LRP6 domain specificity between different Wnts and enable non-canonical Wnt5a to signal through the canonical pathway. Synthetic peptides comprising the linker domain serve as Wnt-specific antagonists. The structure of the ternary complex provides a topological blueprint for the orientation and proximity of Frizzled and LRP6 within the Wnt cell surface signalosome.
Design and implementation of an automatic charging system for intelligent patrol robot

ABSTRACT This paper is concerned with the design and implementation of an automatic charging system for the intelligent patrol robot. An economic and practical method combined with the infrared sensor and laser sensor is developed to realize the accurate automatic charge docking. The phase-shifted full-bridge ZVS-PWM converter is adopted to design an automatic charging pile, which uses a constant voltage limited current charging mode and improve the efficiency of the charging. Several simulations and experiments are implemented to test the automatic charge docking system, and the results could demonstrate the effectiveness and superiority of the system.
Regeneration and Agrobacterium-mediated Transformation Studies in Tomato ( Lycopersicon esculentum Miller)

An optimized regeneration protocol and a suitable transformation technique is a necessity in obtaining transgenic plants in a given plant species. This work summarizes a simple culture method to obtain rooted plants from leaf pieces of two tomato cul- tivars (ES58 and WC156) within 3-4 months. Here, we also present our preliminary results on transformation experiments carried out with 8-day-old cotyledon explants and Agrobacterium tumefaciens EHA105 strain.
Passive multi‐static SAR – experimental results

This article experimentally explores the potential of passive multi-static synthetic aperture radar (SAR) imaging. An experimental campaign was conducted with navigation satellites (e.g. Global Positioning System (GPS)) as transmitters of opportunity. During the experiment, a single receiver recorded satellite signal reflections of a target area from four satellites in its field of view. Based on the total recording time and the number of signals processed, a total of 46 bistatic images were obtained. Subsequently, those bistatic images were non-coherently combined into a single multi-static image. The obtained results show that the multi-static image enhances target area information space and can additionally be used to reveal object geometric features such as edges, shape, and dimensions, which are otherwise difficult to observe in passive SAR with its modest spatial resolution. In addition, information obtained from individual images was combined to understand whether or not different object types can be classified based on variations of their bistatic reflections, with promising first results.
CRUSH: A New Lossless Compression Algorithm

Multimedia is highly competitive world, one of the properties that is reflected is speed of download and upload of multimedia elements: text, sound, pictures, animation. This paper presents CRUSH algorithm which is a lossless compression algorithm. CRUSH algorithm can be used to compress files. CRUSH method is fast and simple with time complexity O(n) where n is the number of elements being compressed.Furthermore, compressed file is independent from algorithm and unnecessary data structures. As the paper will show comparison with other compression algorithms like Shannon–Fano code, Huffman coding, Run Length Encoding, Arithmetic Coding, Lempel-Ziv-Welch (LZW), Run Length Encoding (RLE), Burrows-Wheeler Transform.Move-to-Front (MTF) Transform, Haar, wavelet tree, Delta Encoding, Rice &Golomb Coding, Tunstall coding, DEFLATE algorithm, Run-Length Golomb-Rice (RLGR).
Variational Approaches to P(X)-Laplacian-Like Problems with Neumann Condition Originated from a Capillary Phenomena

Abstract This article presents several sufficient conditions for the existence of at least one weak solution and infinitely many weak solutions for the following Neumann problem, originated from a capillary phenomena, {−div((1+|∇u|p(x)1+|∇u|2p(x))|∇u|p(x)−2∇u)+α(x)|u|p(x)−2u=λf(x,u)inΩ,∂u∂ν=0on∂Ω$$\begin{equation*} \left\{\begin{array}{ll} -{\rm div}\bigg(\bigg(1+\frac{|\nabla u|^{p(x)}}{\sqrt{1+|\nabla u|^{2p(x)}}}\bigg) |\nabla u|^{p(x)-2}\nabla u\bigg)+\alpha(x)|u|^{p(x)-2}u\\=\lambda f(x,u) \mbox{in}\,\,\Omega,\\ \frac{\partial u}{\partial \nu}=0\mbox{on}\,\,\partial \Omega \end{array}\right. \end{equation*}$$ where Ω⊂RN$\Omega \subset \mathbb{R}^N$ (N≥2)$(N\geq 2)$ is a bounded domain with boundary of class C1,$C^1,$ ν$\nu$ is the outer unit normal to ∂Ω,$\partial \Omega,$ λ>0$\lambda>0$, α∈L∞(Ω),$\alpha\in L^{\infty}(\Omega),$ f:Ω×R→R$f:\Omega\times\mathbb{R}\to\mathbb{R}$ is an L1$L^1$-Carathéodory function and p∈C0(Ω‾)$p\in C^0(\overline{\Omega})$. Our technical approach is based on variational methods and we use a more precise version of Ricceri’s Variational Principle due to Bonanno and Molica Bisci. Some recent results are extended and improved. Some examples are presented to illustrate the application of our main results.
Different perspectives for kernel spectral clustering: A theoretical study

Spectral clustering is a suitable technique to deal with problems involving unlabeled clusters and having a complex structure, being kernel-based approaches the most recommended ones. This work aims at demonstrating the relationship between a widely-recommended method, so-named kernel spectral clustering (KSC) and other well-known approaches, namely normalized cut clustering and kernel k-means. Such demonstrations are done by following a primal-dual scheme. Also, we mathematically and experimentally prove the usability of using LS-SVM formulations with a model. Experiments are conducted to assess the clustering performance of KSC and the other considered methods on image segmentation tasks.
Predictors of Urinary Tract Infection in Acute Stroke Patients: A Case Control Study

Background Patients with stroke have a high risk of infection which may be predicted by methods. The methods can reduce unfavourable outcome by preventing the occurrence of infection. Therefore, we aim to identify early predictors for urinary tract infection in patients after stroke. Methods In 186 collected acute stroke patients, we divided them into urinary tract infection group, other infection type groups, and non-infected group. Data were recorded at admission. Independent risk factors and infection prediction model were determined using Logistic regression analyses. Likelihood ratio test was used to detect the prediction effect of the model. Receiver Operating Characteristic curve and the corresponding area under the curve were used to measure the predictive accuracy of indicators for urinary tract infection. Results Of the 186 subjects, there were 35 cases of urinary tract infection. Elevated interleukin-6, higher NIHSS, and decreased hemoglobin may be used to predict urinary tract infection. And, the predictive model for urinary tract infection (including sex, NIHSS, interleukin-6, and hemoglobin) have the best predictive effect. Conclusion This study is the first to discover decreased hemoglobin which may predict urinary tract infection. The prediction model shows the best accuracy.
Content-based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects

The aggregated journal-journal citation matrix -based on the Journal Citation Reports (JCR) of the Science Citation Index- can be decomposed by indexers and/or algorithmically. In this study, we test the results of two recently available algorithms for the decomposition of large matrices against two content-based classifications of journals: the ISI Subject Categories and the field/subfield classification of Glaenzel & Schubert (2003). The content-based schemes allow for the attribution of more than a single category to a journal, whereas the algorithms maximize the ratio of within-category citations over between-category citations in the aggregated category-category citation matrix. By adding categories, indexers generate between-category citations, which may enrich the database, for example, in the case of inter-disciplinary developments. The consequent indexer effects are significant in sparse areas of the matrix more than in denser ones. Algorithmic decompositions, on the other hand, are more heavily skewed towards a relatively small number of categories, while this is deliberately counter-acted upon in the case of content-based classifications. Because of the indexer effects, science policy studies and the sociology of science should be careful when using content-based classifications, which are made for bibliographic disclosure, and not for the purpose of analyzing latent structures in scientific communications. Despite the large differences among them, the four classification schemes enable us to generate surprisingly similar maps of science at the global level. Erroneous classifications are cancelled as noise at the aggregate level, but may disturb the evaluation locally.
Super-twisting disturbance observer-based finite- time attitude stabilization of flexible spacecraft subject to complex disturbances

There exist complex disturbances in the attitude control system of flexible spacecrafts, such as space environmental disturbances, flexible vibrations, inertia uncertainties, payload motions, etc. To suppress the effects of these disturbances on the performance of attitude stabilization, a super-twisting disturbance observer (STDO)-based nonsingular terminal sliding mode controller (NTSMC) is proposed in this paper. First, STDO is designed for a second-order dynamical system constructed by applying the lumped disturbance and its integral as state variables, and applying the integral as virtual measurement. Since the virtual measurement is obtained by integrating the inverse attitude dynamics, STDO not only avoids the differential operation of angular velocity, but also fully utilizes the information of a nonlinear model. By combining STDO with NTSMC, a composite controller is designed to achieve high-accuracy spacecraft attitude stabilization. Since most of the disturbances are compensated for by a STDO-based feedforward compensator, only a small switching gain is required to deal with the residual disturbances and uncertainties. Thus, the chattering phenomenon of the controller can be alleviated to a great extent. Finally, numerical simulations for the comparison between STDO-based NTSMC and nonlinear disturbance observer-based NTSMC are carried out in the presence of complex disturbances to verify the effectiveness of the proposed approach.
Title : TDP 1 promotes assembly of non-homologous end joining protein complexes on DNA

The repair of DNA double-strand breaks (DSB) is central to the maintenance of genomic integrity. In tumor cells, the ability to repair DSBs predicts response to radiation and many cytotoxic anti-cancer drugs. DSB repair pathways include homologous recombination and non-homologous end joining (NHEJ). NHEJ is a templateindependent mechanism, yet many NHEJ repair products carry limited genetic changes, which suggests that NHEJ includes mechanisms to minimize error. Proteins required for mammalian NHEJ include Ku70/80, the DNA-dependent protein kinase (DNA-PKcs), XLF/Cernunnos and the XRCC4:DNA ligase IV complex. NHEJ also utilizes accessory proteins that include DNA polymerases, nucleases, and other end-processing factors. In yeast, mutations of tyrosyl-DNA phosphodiesterase (TDP1) reduced NHEJ fidelity. TDP1 plays an important role in repair of topoisomerase-mediated DNA damage and 3'-blocking DNA lesions, and mutation of the human TDP1 gene results in an inherited human neuropathy termed SCAN1. We found that human TDP1 stimulated DNA binding by XLF and physically interacted with XLF to form TDP1:XLF:DNA complexes. TDP1:XLF interactions preferentially stimulated TDP1 activity on dsDNA as compared to ssDNA. TDP1 also promoted DNA binding by Ku70/80 and stimulated DNA-PK activity. Because Ku70/80 and XLF are the first factors recruited to the DSB at the onset of NHEJ, our data suggest a role for TDP1 during the early stages of mammalian
GADT: a probability space ADT for representing and querying the physical world

Large sensor networks are being widely deployed for measurement, detection and monitoring applications. Many of these applications involve database systems to store and process data from the physical world. This data has inherent measurement uncertainties that are properly represented by continuous probability distribution functions (PDFs). We introduce a new object-relational abstract data type (ADT) - the Gaussian ADT (GADT) - that models physical data as Gaussian PDFs, and we show that existing index structures can be used as fast access methods for GADT data. We also present a measurement-theoretic model of probabilistic data and evaluate GADT in its light.
Molecular simulations of asphalt rheology: Application of time–temperature superposition principle

We show that the several decades gap between the time scales of experiments and atomistic simulations can be significantly reduced by applying time-temperature superposition (TTS) to the simulation results for various rheological properties of asphalt. Molecular dynamics simulations with atomistically detailed models were performed to characterize the temperature dependence of shear viscosity, dynamic modulus, and tensile creep compliance of AAM–1 asphalt. The TTS principle was successfully applied to the data to construct master curves of these rheological properties, and a comparison of simulation data with experiments showed good agreement. Application of TTS resulted in a six decade increase in the frequency range available for moduli determination and a two decade increase in both the shear rate range available for viscosity determination and the time scale available for characterization of creep compliance. The horizontal shift factors (aT) used in the construction of the master curves for the different rheological properties were quantitatively consistent with each other. The corresponding temperature dependence of the scaled relaxation times was compared with the expectations from three literature models, namely, the Vogel–Fulcher–Tammann, double exponential, and parabolic–Arrhenius models. A distinct change from super-Arrhenius to Arrhenius behavior was observed for the scaled relaxation times below the glass transition temperature (Tg). Only the parabolic-Arrhenius model was able to capture the temperature dependence of the data over the entire temperature range that covers both the glassy and the rubbery states.We show that the several decades gap between the time scales of experiments and atomistic simulations can be significantly reduced by applying time-temperature superposition (TTS) to the simulation results for various rheological properties of asphalt. Molecular dynamics simulations with atomistically detailed models were performed to characterize the temperature dependence of shear viscosity, dynamic modulus, and tensile creep compliance of AAM–1 asphalt. The TTS principle was successfully applied to the data to construct master curves of these rheological properties, and a comparison of simulation data with experiments showed good agreement. Application of TTS resulted in a six decade increase in the frequency range available for moduli determination and a two decade increase in both the shear rate range available for viscosity determination and the time scale available for characterization of creep compliance. The horizontal shift factors (aT) used in the construction of the master curves for the diffe.
A Cameron-Storvick theorem for the analytic Feynman integral associated with Gaussian paths on a Wiener space and applications

The purpose of this paper is to establish a Cameron-Storvick theorem for the analytic Feynman integral of functionals in non-stationary Gaussian processes on Wiener space. As interesting applications, we apply this theorem to evaluate the generalized analytic Feynman integral of certain polynomials in terms of Paley-Wiener-Zygmund stochastic integrals.
Contribution of Logical Thinking Ability to Students’ Achievement in Three Level of Representations in Chemical Dynamic Materials

This research aims to explore information about the profile of the ability of logical thinking of high school students and its effect on student achievement on three levels of representation of chemical dynamics material. This research uses a non-experimental as research design in form of survey. This research involving 242 persons of 11 grade high school students at Ketapang Regency, West Borneo Province. Sampling is done by purposive sampling as a sampling method. There are two instruments in this research, first is Test of Logical Thinking and second is Test of three levels of representations that including 25 multiple choice tests which consist of three levels of representations such as macroscopic, submicroscopic, and symbolic levels. The material raised in this test is chemical dynamics material, including the concepts of reaction rates and chemical equilibrium. The research results is based on the statistically tested findings using the Pearson correlation test, it was found that logical thinking ability had a significant effect on macroscopic, submicroscopic, and symbolic with correlation coefficients of 0.352, 0.684, and 0.564, and significance values is less than 5% each of them.