Miracle-dz/UniFAR-FTUs huggingface dataset:
Title Stata.com Ologit — Ordered Logistic Regression

Syntax Menu Description Options Remarks and examples Stored results Methods and formulas References Also see Syntax ologit depvar indepvars if in weight , options options Description Model offset(varname) include varname in model with coefficient constrained to 1 constraints(constraints) apply specified linear constraints collinear keep collinear variables SE/Robust vce(vcetype) vcetype may be oim, robust, cluster clustvar, bootstrap, or jackknife Reporting level(#) set confidence level; default is level(95) or report odds ratios nocnsreport do not display constraints display options control column formats, row spacing, line width, display of omitted variables and base and empty cells, and factor-variable labeling
Strong anisotropy and diameter effects on the low-field mobility of silicon nanowires

We describe a method to couple the sp3d5s*-spin-orbit-coupled (SO) atomistic tight-binding (TB) model and linearized Boltzmann transport theory for the calculation of low-field mobility in Si nanowires (NWs). We consider scattering mechanisms due to phonons and surface roughness. We perform a simulation study of the low-field mobility in n-type and p-type Si NWs of diameters from 3nm to 12nm, in the [100], [110] and [111] transport orientations. We find that the NW mobility is a strong function of orientation and diameter. This is a consequence of the large variations in the electronic structure with geometry and quantization. Especially in the case of p-type [111] and [110] NWs, large phonon-limited mobility improvements with diameter scaling are observed.
Nonparametric estimation of the singularities of a signal from noisy measurements

We study a problem of locating and estimating singularities of a signal measured with noise on a discrete set of points (fixed-design model). The signal consists of a smooth part with bounded first derivative and of finite number of singularities of the type (x ti) di, 0 < p < . The case p=0 corresponds to a piecewise continuous function. The algorithm is based on convolving the data with a kernel having compact support. Optimal bandwidth of the kernel is calculated, the consistency of the algorithm is proved. The results of testing the proposed algorithm on model examples are presented.
An Agent-Based Model for Exploring Land Market Mechanisms for Coastal Zone Management

This paper presents an agent-based model of a land market (ALMA-C) to simulate the emergence of land prices and urban land patterns from bottom-up. Our model mimics individual decisions to buy and to sell land depending on economic, sociological and political factors as well as on the characteristics of the spatial environment. To this we add ecological and environmental considerations and focus on the question of how individual land use decisions can be affected to reduce the pressure on the coastal zone ecosystem functions. A series of model experiments helps visualize and explore how economic incentives at a land market can influence the spatial distribution of activities and land prices in a coastal zone. We demonstrate that economic incentives do affect urban form and pattern, land prices and welfare measures. However, they may not always be sufficient to reduce the pressure on coastal zone ecosystems.
Performance-Based Measures The Children ' s Psychological Processes Scale : Factor Structure and Correlations With

Objective: The current study investigated the internal structure and external relations of the Children’s Psychological Processes Scale (CPPS). Method: Principal components analysis and exploratory factor analysis were conducted. Concurrent validity studies were also completed with the Behavior Rating Inventory of Executive Function (BRIEF) and Woodcock–Johnson III Tests of Cognitive Abilities (WJ III COG). Results: A general cognitive ability factor was identified that accounted for up to 85% of the scale’s total variance. Exploratory factor analysis produced a three-factor solution that included general processing ability, executive functions, and visual-motor processing. Subscales comprising the CPPS executive functions factor were found to have high correlations with BRIEF composites and subscales. CPPS subscale correlations with comparable WJ III COG tests indicated that the majority of the CPPS subscales assess the same constructs as those measured by the WJ III COG. Conclusion: The results suggest that rating scale measures of cognitive and metacognitive processes assess the same latent factors and cognitive processes as performance-based measures. (J. of Att. Dis. XXXX; XX(X) XX-XX)
BabelNet goes to the (Multilingual) Semantic Web

BabelNet is a very large, wide-coverage multilingual ontology. This resource is created by linking the largest multilingual Web encyclopedia - i.e., Wikipedia - to the most popular computational lexicon - i.e., WordNet. The integration is performed via an automatic mapping and by filling in lexical gaps in resource-poor languages with the aid of Machine Translation. The result is an "encyclopedic dictionary" that provides babel synsets, i.e., concepts and named entities lexicalized in many languages and connected with large amounts of semantic relations. BabelNet is available online at http://www.babelnet. org. In this paper we present a first attempt at encoding BabelNet for the multilingual Semantic Web.
Usp7 protects genomic stability by regulating Bub3

USP7 (Ubiquitin Specific processing Protease-7) is a deubiquitinase which, over the past decade emerged as a critical regulator of cellular processes. Deregulation of USP7 activity has been linked to cancer, making USP7 inhibition an appealing anti-cancer strategy. The identification of novel USP7 substrates and additional USP7-dependent cellular activities will broaden our knowledge towards potential clinical application of USP7 inhibitors. Results presented in this study uncover a novel and pivotal function of USP7 in the maintenance of genomic stability. Upon USP7 depletion we observed prolonged mitosis and mitotic abnormalities including micronuclei accumulation, lagging chromosomes and karyotype instability. Inhibition of USP7 with small molecule inhibitors stabilizes cyclin B and causes mitotic abnormalities. Our results suggest that these USP7-dependent effects are mediated by decreased levels of spindle assembly checkpoint (SAC) component Bub3, which we characterized as an interacting partner and substrate of USP7. In silico analysis across the NCI-60 panels of cell lines supports our results where lower levels of USP7 strongly correlate with genomic instability. In conclusion, we identified a novel role of USP7 as regulator of the SAC component Bub3 and genomic stability.
Neurons in cortical area MST remap the memory trace of visual motion across saccadic eye movements

Significance We found that most medial superior temporal (MST) neurons, but no middle temporal neurons, increased their firing rates when a saccade brought the location of the visual stimulus, which had been visible only before the saccade, into their receptive fields (RFs): so-called “memory remapping. ” The distinctive feature of the MST neurons is that they did not respond to stimuli in their future RFs before the saccade, a response known as “predictive remapping. ” In other areas (e.g., lateral intraparietal cortex, frontal eye field), neurons showing memory remapping had been recorded together with neurons showing predictive remapping, consistent with their role in guiding goal-directed motor actions such as saccades. Our finding is understandable in the view that MST has a different role, which is to perceive the visual world. Perception of a stable visual world despite eye motion requires integration of visual information across saccadic eye movements. To investigate how the visual system deals with localization of moving visual stimuli across saccades, we observed spatiotemporal changes of receptive fields (RFs) of motion-sensitive neurons across periods of saccades in the middle temporal (MT) and medial superior temporal (MST) areas. We found that the location of the RFs moved with shifts of eye position due to saccades, indicating that motion-sensitive neurons in both areas have retinotopic RFs across saccades. Different characteristic responses emerged when the moving visual stimulus was turned off before the saccades. For MT neurons, virtually no response was observed after the saccade, suggesting that the responses of these neurons simply reflect the reafferent visual information. In contrast, most MST neurons increased their firing rates when a saccade brought the location of the visual stimulus into their RFs, where the visual stimulus itself no longer existed. These findings suggest that the responses of such MST neurons after saccades were evoked by a memory of the stimulus that had preexisted in the postsaccadic RFs (“memory remapping”). A delayed-saccade paradigm further revealed that memory remapping in MST was linked to the saccade itself, rather than to a shift in attention. Thus, the visual motion information across saccades was integrated in spatiotopic coordinates and represented in the activity of MST neurons. This is likely to contribute to the perception of a stable visual world in the presence of eye movements.
A Parsimonious Choquet Model of Subjective Life Expectancy

This paper develops and estimates a closed-form model of Bayesian learning of subjective survival beliefs within the framework of Choquet decision theory. Data from the Health and Retirement Study (HRS) indicate that, on average, young respondents underestimate their true survival probability whereas old respondents overestimate their survival probability. Such subjective beliefs violate the rational expectations paradigm and are also not in line with the predictions of the rational Bayesian learning paradigm which implies convergence of subjective to underlying 'objective' probabilities. Based on the assumption of non-additive beliefs, we therefore introduce a model of Bayesian learning which combines rational learning with the possibility that the interpretation of new information is prone to psychological attitudes. We estimate the parameters of our theoretical model by pooling the HRS data. Despite a parsimonious parametrization we find that our Choquet model results in a remarkable fit to the average subjective beliefs expressed in the data.
Low Power OOK Transmitter for Wireless Capsule Endoscope

A new structure of on-off keying(OOK) transmitter with low power consumption and high data rate is proposed using a current-reused CMOS differential LC-VCO for wireless capsule endoscope application. The carrier frequency (440 MHz) of the transmitter is determined as the minimum loss frequency point considering the antenna loss and the loss property of human body, etc. The transmitter is able to output 0 dBm of power at the single-ended output to a monopole 50-Ohm antenna to meet the demands of high-data rate speed (40 Mb/s) and short range (15-cm) wireless communication. This transmitter, has been fabricated using 0.18-mum CMOS technology, consumes only 860-muA of current from a 3 V supply.
Optimal Paths Design for a GMPLS Network using the Lagrangian Relaxation Method

We describe an optimal path design for a GMPLS network that uses the Lagrangian relaxation method, which can estimate the lower bounds of the solution to a problem. This feature helps the designer of the problem to take the accuracy of the solution obtained by the calculation into consideration when he makes a decision to assign the solution to a real network in critical situations. A formulation of the problem and how to solve it using the Lagrangian relaxation method is described, and the results obtained by a prototype and considerations are shown in this paper.
Prestige technology in the evolution and social organization of early psychological science

Instruments have become a central feature of psychological science. Their introduction into a research paradigm is typically framed in terms of their practical utility in offering calibration and precision in the presentation, representation, and recording of phenomena. However, a review of early experimental psychology reveals that instruments have an additional role in terms of the accumulation of domain-specific status, or prestige. The emergence and use of prestige technologies reflects a general feature of social organization wherein group members must compete for the attention of a community. An examination of the introduction of the chronoscope demonstrates that while there was an awareness of its functional limitations, these limits were often not prominent features of later paradigmatic discourse. In contrast to early adopters, later researchers appear to have demonstrated a reduced concern for these limitations suggesting that these instruments were being used as much for their prestige function as their practical utility.
Generalized approach to linear data transformation

This paper presents a generalized approach for the simple linear data transformation, Y=bX, through an integration of multidimensional coordinate geometry, vector space theory and polygonal geometry. The scaling is performed by adding an additional ‘Dummy Dimension’ to the n-dimensional data, which helps plot two dimensional component-wise straight lines on pairs of dimensions. The end result is a set of scaled extensions of observations in any of the 2n spatial divisions, where n is the total number of applicable dimensions/dataset variables, created by shifting the hyperplane in n dimensions along the ‘Dummy Axis’. The derived scaling factor was found to be dependent on the coordinates of the common point of origin for diverging straight lines and the plane of extension, chosen on and perpendicular to the ‘Dummy Axis’, respectively. This result indicates the geometrical interpretation of a linear data transformation and hence, opportunities for a more informed choice of the factor ‘b’, based on a better choice of these coordinate values.
Detecting Discrimination in a Black-Box Classifier

Data mining techniques are playing an increasing role in making crucial decisions in our daily lives ranging from credit card approvals to employment decisions. Typically algorithms used to build decision models remain as a black-box to the end user. Therefore the process of decision making appears to be opaque. At the same time, increasing the transparency of a black-box decision making model allows us to discover hidden discrimination, and hold entities accountable. Although algorithmic transparency with respect to black box classifiers requires addressing many challenges, our main objective in this paper is to investigate whether a black-box classification model is biased against certain subgroups. Specifically, we study the indirect discrimination of hidden protected features. Protected features, such as race, gender, and religious beliefs, are those that are prohibited to be legally used for making decisions. Simply removing the protected features is not enough to eliminate discrimination because there could be strong correlations between protected features and non-protected features, such as race versus zip code. In this paper, we present two techniques to measure discrimination of a black-box model as a result of data bias or algorithmic weakness. Data bias is investigated further by introducing artificial bias to the dataset under consideration. Our experimental results demonstrate the effectiveness of our bias measures where bias comes from different sources.
Automated Inventory System Using Portable Data Acquisition Module for Bell Electronics Corporation

Bell Electronics Lab Corporation situated in Calamba, Laguna is engaged in test and assembly of optoelectronics and sensor devices. The company is concentrating on its resources in metal can packaging. The second phase of the company's program is towards the development of other types of optoelectronics and sensors device packaging to support their customer requirements. In this paper, the proponents will present an Automated Inventory System using Portable Data Acquisition (PDA) module to help the company’s growing business. The PDA module is composed of barcode scanner to scan issued and received items, and a Z8F6423 Zilog microcontro ler to s ore the information. A Product Inventory System (PIS) application program is also discussed to show how the PDA module can be interfaced with the PIS. Test results presented in this paper will show apparent improvement of company’s inventory system.
PUBLIC KEY ENCRYPTION WITH CONJUNCTIVE FIELD FREE KEYWORD SEARCH SCHEME

Searchable encryption allows a remote server to search over encrypted documents without knowing the sensitive data contents. Prior searchable symmetric encryption schemes focus on single keyword search. Conjunctive Keyword Searches (CKS) schemes improve system usability by retrieving the matched documents. In this type of search, the user has to repeatedly perform the search protocol for many times. Most of existent (CKS) schemes use conjunctive keyword searches with fixed position keyword fields, this type of search is not useful for many applications, such as unstructured text. In our paper, we propose a new public key encryption scheme based on bilinear pairings, the scheme supports conjunctive keyword search queries on encrypted data without needing to specify the positions of the keywords where the keywords can be in any arbitrary order. Instead of giving the server one trapdoor for each keyword in the conjunction set, we use a bilinear map per a set of combined keywords to make them regarded as one keyword. In another meaning, the proposed method will retrieve the data in one round of communication between the user and server. Furthermore, the search process could not reveal any information about the number of keywords in the query expression. Through analysis section we determine how such scheme could be used to guarantee fast and secure access to the database.
Towards High-Performance and Power-Efficient Optical NoCs Using Silicon-in-Silica Photonic Components

Networks-on-Chips (NoCs) are meeting the growing inter-tile communication needs of multicore chips. However, achieving system scalability by utilizing hundreds of cores on-chip requires high performance, yet energy-efficient on-chip interconnects. As electrical interconnects are marred by high energy-to-bandwidth costs, threatening multicore scalability, on-chip nanophotonics, which offer high throughput, yet energy-efficient communication, are an alternative attractive solution. In this paper we consider silicon nanophotonic components that are embedded completely within the silica (SiO2) substrate as opposed to prior-art that utilizes die on-surface silicon nanophotonics. As nanophotonic components now reside in the silica substrate's subsurface, a greater portion of a chip's real estate can be utilized by cores and routers, while non-obstructive interconnect geometries offering higher network throughput can be implemented. First, we show using detailed simulations based on commercial tools that such silicon-in-silica (SiS) structures are feasible, and then demonstrate our proof of concept by utilizing a hybrid SiS-based photonic mesh-diagonal links topology that provides both higher effective throughput and throughput-to-power ratio versus prior-art.
Unifying Maximum Cut and Minimum Cut of a Planar Graph

The real-weight maximum cut of a planar graph is considered. Given an undirected planar graph with real-value weights associated with its edges, the problem is to find a partition of the vertices into two nonempty sets such that the sum of the weights of the edges connecting the two sets is maximum. The conventional maximum cut and minimum cut problems assume nonnegative edge weights, and thus are special cases of the real-weight maximum cut. An O(n/sup 3/2/ log n) algorithm for finding a real-weight maximum cut of a planar graph where n is the number of vertices in the graph is developed. The best maximum cut algorithm previously known for planar graphs has running time of O(n/sup 3/). >
Gotzmann Edge Ideals

Let P = 𝕜[x 1,…, x n ] be the polynomial ring in n variables. A homogeneous ideal I ⊆ P generated in degree d is called Gotzmann if it has the smallest possible Hilbert function out of all homogeneous ideals with the same dimension in degree d. The edge ideal of a simple graph G on vertices x 1,…, x n is the quadratic square-free monomial ideal generated by all x i x j where {x i , x j } is an edge of G. The only edge ideals that are Gotzmann are those edge ideals corresponding to star graphs.
MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods

PET/MRI is an emerging dual-modality imaging technology that requires new approaches to PET attenuation correction (AC). We assessed 2 algorithms for whole-body MRI-based AC (MRAC): a basic MR image segmentation algorithm and a method based on atlas registration and pattern recognition (AT&PR). Methods: Eleven patients each underwent a whole-body PET/CT study and a separate multibed whole-body MRI study. The MR image segmentation algorithm uses a combination of image thresholds, Dixon fat–water segmentation, and component analysis to detect the lungs. MR images are segmented into 5 tissue classes (not including bone), and each class is assigned a default linear attenuation value. The AT&PR algorithm uses a database of previously aligned pairs of MRI/CT image volumes. For each patient, these pairs are registered to the patient MRI volume, and machine-learning techniques are used to predict attenuation values on a continuous scale. MRAC methods are compared via the quantitative analysis of AC PET images using volumes of interest in normal organs and on lesions. We assume the PET/CT values after CT-based AC to be the reference standard. Results: In regions of normal physiologic uptake, the average error of the mean standardized uptake value was 14.1% ± 10.2% and 7.7% ± 8.4% for the segmentation and the AT&PR methods, respectively. Lesion-based errors were 7.5% ± 7.9% for the segmentation method and 5.7% ± 4.7% for the AT&PR method. Conclusion: The MRAC method using AT&PR provided better overall PET quantification accuracy than the basic MR image segmentation approach. This better quantification was due to the significantly reduced volume of errors made regarding volumes of interest within or near bones and the slightly reduced volume of errors made regarding areas outside the lungs.
Successful Surgery for Scoliosis Supported by Pulmonary Rehabilitation in a Duchenne Muscular Dystrophy Patient With Forced Vital Capacity Below 10%

Low vital capacity is a risk factor for scoliosis correction operation in Duchenne muscular dystrophy (DMD) patients, but pulmonary rehabilitation, including noninvasive intermittent positive pressure ventilator application, air stacking exercise, and assisted coughing technique, reduces the pulmonary complications and perioperative mortality risk. In this case, the patient's preoperative forced vital capacity (FVC) was 8.6% of normal predicted value in sitting position and 9.4% in supine position. He started pulmonary rehabilitation before the operation and continued right after the operation. Scoliosis correction operation was successful without any pulmonary complications, and his discomfort in sitting position was improved. If pulmonary rehabilitative support is provided properly, FVC below 10% of normal predicted value is not a contraindication of scoliosis correction operation in DMD patients.