LLukas22/scidocs huggingface dataset:
Further delineation of novel 1p36 rearrangements by array-CGH analysis: narrowing the breakpoints and clarifying the "extended" phenotype.

High resolution oligonucleotide array Comparative Genome Hybridization technology (array-CGH) has greatly assisted the recognition of the 1p36 contiguous gene deletion syndrome. The 1p36 deletion syndrome is considered to be one of the most common subtelomeric microdeletion syndromes and has an incidence of ~1 in 5000 live births, while respectively the "pure" 1p36 microduplication has not been reported so far. We present seven new patients who were referred for genetic evaluation due to Developmental Delay (DD), Mental Retardation (MR), and distinct dysmorphic features. They all had a wide phenotypic spectrum. In all cases previous standard karyotypes were negative. Array-CGH analysis revealed five patients with interstitial 1p36 microdeletion (four de novo and one maternal) and two patients with de novo reciprocal duplication of different sizes. These were the first reported "pure" 1p36 microduplication cases so far. Three of our patients carrying the 1p36 microdeletion syndrome were also found to have additional pathogenetic aberrations. These findings (del 3q27.1; del 4q21.22-q22.1; del 16p13.3; dup 21q21.2-q21.3; del Xp22.12) might contribute to the patients' severe phenotype, acting as additional modifiers of their clinical manifestations. We review and compare the clinical and array-CGH findings of our patients to previously reported cases with the aim of clearly delineating more accurate genotype-phenotype correlations for the 1p36 syndrome that could allow for a more precise prognosis.
Future Social Security Entitlements and the Retirement Decision

A critical question for Social Security policy is how program incentives affect retirement behavior. We use the Health and Retirement Survey (HRS) to examine the impact of Social Security incentives on male retirement. We implement forward-looking models whereby individuals consider the incentives to work in all future years. We find that forward-looking incentive measures for Social Security are significant determinants of retirement. We also find that private pension incentives have roughly similar effects. Our findings suggest that Social Security policies that increase the incentives to work at older ages can significantly reduce the labor force exit rate of older workers.
Mathematical Modeling and Analysis of a Vehicle Crash

Because of the fact that vehicle crash tests are complex and complicated experiments it is advisable to establish their mathematical models. This paper contains an overview of the kinematic and dynamic relationships of a vehicle in a collision. There is also presented basic mathematical model representing a collision together with its analysis. The main part of this paper is devoted to methods of establishing parameters of the vehicle crash model and to real crash data investigation i.e. – creation of a Kelvin model for a real experiment, its analysis and validation. After model’s parameters extraction a quick assessment of an occupant crash severity is done. Key-Words: Modeling, vehicle crash, Kelvin model, data processing.
Imaging the past: neural activation in frontal and temporal regions during regular and irregular past-tense processing.

This article presents fMRI evidence bearing on dual-mechanism versus connectionist theories of inflectional morphology. Ten participants were scanned at 4 Tesla as they covertly generated the past tenses of real and nonce (nonword) verbs presented auditorily. Regular past tenses (e.g., walked, wugged) and irregular past tenses (e.g., took, slept) produced similar patterns of activation in the posterior temporal lobe in both hemispheres. In contrast, there was greater activation in left and right inferior frontal gyrus for regular past tenses than for irregular past tenses. Similar previous results have been taken as evidence for the dual-mechanism theory of the past tense (Pinker & Ullman, 2002). However, additional analyses indicated that irregulars that were phonologically similar to regulars (e.g., slept, fled, sold) produced the same level of activation as did regulars, and significantly more activation than did irregulars that were not phonologically similar to regulars (e.g., took, gave). Thus, activation patterns were predicted by phonological characteristics of the past tense rather than by the rule-governed versus exception distinction that is central to the dual-mechanism framework. The results are consistent with a constraint satisfaction model in which phonological, semantic, and other probabilistic constraints jointly determine the past tense, with different degrees of involvement for different verbs.
Cartesian Cubical Computational Type Theory: Constructive Reasoning with Paths and Equalities

We present a dependent type theory organized around a Cartesian notion of cubes (with faces, degeneracies, and diagonals), supporting both fibrant and non-fibrant types. The fibrant fragment validates Voevodsky’s univalence axiom and includes a circle type, while the non-fibrant fragment includes exact (strict) equality types satisfying equality reflection. Our type theory is defined by a semantics in cubical partial equivalence relations, and is the first two-level type theory to satisfy the canonicity property: all closed terms of boolean type evaluate to either true or false. 2012 ACM Subject Classification Theory of computation → Type theory
Enhancing Sensor Pattern Noise via Filtering Distortion Removal

In this work, we propose a method to obtain higher quality sensor pattern noise (SPN) for identifying source cameras. We believe that some components of SPN have been severely contaminated by the errors introduced by denoising filters and the quality of SPN can be improved by abandoning those components. In our proposed method, some coefficients with higher denoising errors are abandoned in the wavelet representation of SPN and the remaining wavelet coefficients are further enhanced to suppress the scene details in the SPN. These two steps aim to provide better SPN with higher signal-to-noise ratio (SNR) and therefore improve the identification performance. The experimental results on 2,000 images captured by 10 cameras (each responsible for 200 images), show that our method achieves better receiver operating characteristic (ROC) performance when compared with some state-of-the-art methods.
Learning Word Representation Considering Proximity and Ambiguity

Distributed representations of words (aka word embedding) have proven helpful in solving natural language processing (NLP) tasks. Training distributed representations of words with neural networks has lately been a major focus of researchers in the field. Recent work on word embedding, the Continuous Bag-of-Words (CBOW) model and the Continuous Skip-gram (Skip-gram) model, have produced particularly impressive results, significantly speeding up the training process to enable word representation learning from largescale data. However, both CBOW and Skip-gram do not pay enough attention to word proximity in terms of model or word ambiguity in terms of linguistics. In this paper, we propose Proximity-Ambiguity Sensitive (PAS) models (i.e. PAS CBOW and PAS Skip-gram) to produce high quality distributed representations of words considering both word proximity and ambiguity. From the model perspective, we introduce proximity weights as parameters to be learned in PAS CBOW and used in PAS Skip-gram. By better modeling word proximity, we reveal the strength of pooling-structured neural networks in word representation learning. The proximitysensitive pooling layer can also be applied to other neural network applications that employ pooling layers. From the linguistics perspective, we train multiple representation vectors per word. Each representation vector corresponds to a particular group of POS tags of the word. By using PAS models, we achieved a 16.9% increase in accuracy over state-of-the-
View Synthesis by Appearance Flow

We address the problem of novel view synthesis: given an input image, synthesizing new images of the same object or scene observed from arbitrary viewpoints. We approach this as a learning task but, critically, instead of learning to synthesize pixels from scratch, we learn to copy them from the input image. Our approach exploits the observation that the visual appearance of different views of the same instance is highly correlated, and such correlation could be explicitly learned by training a convolutional neural network (CNN) to predict appearance flows – 2-D coordinate vectors specifying which pixels in the input view could be used to reconstruct the target view. Furthermore, the proposed framework easily generalizes to multiple input views by learning how to optimally combine single-view predictions. We show that for both objects and scenes, our approach is able to synthesize novel views of higher perceptual quality than previous CNN-based techniques. Fig. 1. Given an input image, our goal is to synthesize novel views of the same object (left) or scene (right) corresponding to various camera transformations (Ti). Our approach, based on learning appearance flows, is able to generate higher-quality results than the previous method that directly outputs pixels in the target view [1].
A Novel Impulse Detector for Filtering of Highly Corrupted Images

As the performance of the filtering system depends upon the accuracy of the noise detection scheme, in this paper, we present a new scheme for impulse noise detection based on two levels of decision. In this scheme in the first stage we coarsely identify the corrupted pixels and in the second stage we finally decide whether the pixel under consideration is really corrupt or not. The efficacy of the proposed filter has been confirmed by extensive simulations. Keywords—Impulse detection, noise removal, image filtering.
Memristor modeling in MATLAB® &Simulink®

The article deals with various ways of memristor modeling and simulation in the MATLAB&Simulink environment. Recently used and published mathematical memristor model serves as a base, regarding all known features of its behavior. Three different approaches in the MATLAB&Simulink system are used for the differential and other equations formulation. The first one employs the standard system core offer for the Ordinary Differential Equations solutions (ODE) in the form of an m-file. The second approach is the model construction in Simulink environment. The third approach employs so-called physical modeling using the built-in Simscape system. The output data are the basic memristor characteristics and appropriate time courses. The features of all models are discussed, especially regarding the computer simulation. Possible problems that may occur during modeling are pointed. Key-Words: memristor, modeling and simulation, MATLAB, Simulink, Simscape, physical model
On the cosmological singularity

The long story of the oscillatory approach to the initial cosmological singularity and its more recent incarnation in multidimensional universe models is told.
Once-yearly zoledronic acid in older men compared with women with recent hip fracture.

OBJECTIVES
To assess the efficacy of once-yearly zoledronic acid (ZOL) 5 mg in increasing bone mineral density (BMD) in men with a recent hip fracture participating in the Health Outcomes and Reduced Incidence with Zoledronic Acid Once- Yearly Recurrent Fracture Trial and to compare the efficacy with that in women from the same study.


DESIGN
Randomized, placebo-controlled, double-blind trial.


SETTING
International multicenter.


PARTICIPANTS
Five hundred and eight men and 1,619 women within 90 days of surgical repair of low-trauma hip fracture in the same study (for comparison).


INTERVENTION
Once-yearly intravenous (IV) ZOL 5 mg (n = 248) or placebo (n = 260), loading dose of vitamin D, daily calcium, and vitamin D supplements.


MEASUREMENT
Changes in BMD.


RESULTS
Percentage change from baseline in total hip BMD at Months 12 and 24 was significantly higher with ZOL than with placebo (between-group difference, 2.0%, P = .003, and 3.8%, P = .002, respectively). Percentage change from baseline in femoral neck BMD at Month 24 was significantly higher with ZOL than with placebo (3.8%, P = .003). The BMD benefit was comparable with that observed in women in this study. New clinical fractures occurred in 36 (7.1%) participants (ZOL, n = 16; placebo, n = 20; P = .64). The ZOL safety profile was comparable with that of placebo, with no significant differences in cardiovascular or long-term renal function and a trend toward lower mortality in ZOL-treated men.


CONCLUSION
Once-yearly IV ZOL 5 mg increases bone mass at the hip and femoral neck in men within 90 days of repair of a low-trauma hip fracture. Increases were of a similar magnitude to those observed in women in the same study.
Which cultural values matter to business process management?: Results from a global Delphi study

Purpose – Business Process Management (BPM) requires a holistic perspective that includes managing the culture of an organization to achieve objectives of efficient and effective business processes. Still, the specifics of a BPM-supportive organizational culture have not been examined so far. Thus, the purpose of our paper is to identify the characteristics of a cultural setting supportive of BPM objectives. Design/methodology/approach – We examine the constituent values of a BPM-supportive cultural setting through a global Delphi study with BPM experts from academia and practice and explore these values in a cultural value framework. Findings – We empirically identify and define four key cultural values supporting BPM, viz., customer orientation, excellence, responsibility, and teamwork. We discuss the relationships between these values and identify a particular challenge in managing these seemingly competing values. Research implications – The identification and definition of these values represents a first step towards the operationalization (and empirical analysis) of what has been identified as the concept of BPM culture, i.e. a culture supportive of achieving BPM objectives. Practical implications – Identifying these cultural values provides the basis for developing an instrument that can measure how far an existing cultural context is supportive of BPM. This, in turn, is fundamental for identifying measures towards achieving a BPM culture as a necessary, yet not sufficient means to obtain BPM success. Originality/value – We examine which cultural values create an environment receptive for BPM and, thus, specify the important theoretical construct BPM culture. In addition, we raise awareness for realizing these values in a BPM context.
Disentangling the relative importance of species occurrence, abundance and intraspecific variability in community assembly: a trait-based approach at the whole-plant level in Mediterranean forests

Understanding which factors and rules govern the process of assembly in communities constitutes one of the main challenges of plant community ecology. The presence of certain functional strategies along broad environmental gradients can help to understand the patterns observed in community assembly and the filtering mechanisms that take place. We used a trait-based approach, quantifying variations in aboveground (leaf and stem) and belowground (root) functional traits along environmental gradients in Mediterranean forest communities (south Spain). We proposed a new practical method to quantify the relative importance of species turnover (distinguishing between species occurrence and abundance) versus intraspecific variation, which allowed us to better understand the assemblage rules of these plant communities along environmental gradients. Our results showed that the functional structure of the studied plant communities was highly determined by soil environment. Results from our modelling approach based on maximum likelihood estimators showed a predominant influence of soil water storage on most of the community functional traits. We found that changes in community functional structure along environmental gradients were mainly promoted by species turnover rather than by intraspecific variability. Specifically, our new method of variance decomposition demonstrated that between-site trait variation was the result of changes in species occurrence rather than in the abundance of certain dominant species. In conclusion, this study showed that water availability promoted the predominance of specific trait values (both in above and belowground fractions) associated to a resource acquisition or conservation strategy. In addition, we provided evidence that changes on community functional structure along the environmental gradient were mainly promoted by a process of species replacement, which represent a crucial step towards a more general understanding of the relative importance of intraspecific versus interspecific trait variation in these woody Mediterranean communities.
Channels through Which Financial Accounting Information Affects Economic Performance

ibrant public securities markets rely on complex systems of supporting institutions that promote the governance of publicly traded companies. Corporate governance structures serve: 1) to ensure that minority shareholders receive reliable information about the value of firms and that a company’s managers and large shareholders do not cheat them out of the value of their investments, and 2) to motivate managers to maximize firm value instead of pursuing personal objectives.1 Institutions promoting the governance of firms include reputational intermediaries such as investment banks and audit firms, securities laws and regulators such as the Securities and Exchange Commission (SEC) in the United States, and disclosure regimes that produce credible firm-specific information about publicly traded firms. In this paper, we discuss economics-based research focused primarily on the governance role of publicly reported financial accounting information. Financial accounting information is the product of corporate accounting and external reporting systems that measure and routinely disclose audited, quantitative data concerning the financial position and performance of publicly held firms. Audited balance sheets, income statements, and cash-flow statements, along with supporting disclosures, form the foundation of the firm-specific information set available to investors and regulators. Developing and maintaining a sophisticated financial disclosure regime is not cheap. Countries with highly developed securities markets devote substantial resources to producing and regulating the use of extensive accounting and disclosure rules that publicly traded firms must follow. Resources expended are not only financial, but also include opportunity costs associated with deployment of highly educated human capital, including accountants, lawyers, academicians, and politicians. In the United States, the SEC, under the oversight of the U.S. Congress, is responsible for maintaining and regulating the required accounting and disclosure rules that firms must follow. These rules are produced both by the SEC itself and through SEC oversight of private standards-setting bodies such as the Financial Accounting Standards Board and the Emerging Issues Task Force, which in turn solicit input from business leaders, academic researchers, and regulators around the world. In addition to the accounting standards-setting investments undertaken by many individual countries and securities exchanges, there is currently a major, well-funded effort in progress, under the auspices of the International Accounting Standards Board (IASB), to produce a single set of accounting standards that will ultimately be acceptable to all countries as the basis for cross-border financing transactions.2 The premise behind governance research in accounting is that a significant portion of the return on investment in accounting regimes derives from enhanced governance of firms, which in turn facilitates the operation of securities Robert M. Bushman and Abbie J. Smith
Intra-articular Drain versus No Drain after Arthroscopic Anterior Cruciate Ligament Reconstruction: A Randomized Prospective Clinical Trial

Method: In this study, forty consecutive arthroscopic ACL reconstruction patients were randomized alternately for either intra-articular suction drain group or non-drain group. All arthroscopic ACL reconstructions using a four strands hamstrings graft as auto graft were included in the trial. The outcome was evaluated in the first three days, first week, fourth week and eighth week. The results were evaluated through pain assessment, range of motion (ROM), and grade of haemoarthrosis.
Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees

In recent works, both sparsity-based methods as well as learning-based methods have proven to be successful in solving several challenging linear inverse problems. However, sparsity priors for natural signals and images suffer from poor discriminative capability, while learning-based methods seldom provide concrete theoretical guarantees. In this work, we advocate the idea of replacing hand-crafted priors, such as sparsity, with a Generative Adversarial Network (GAN) to solve linear inverse problems such as compressive sensing. In particular, we propose a projected gradient descent (PGD) algorithm for effective use of GAN priors for linear inverse problems, and also provide theoretical guarantees on the rate of convergence of this algorithm. Moreover, we show empirically that our algorithm demonstrates superior performance over an existing method of leveraging GANs for compressive sensing.
Technology-mediated therapy for chronic pain management: the challenges of adapting behavior change interventions for delivery with pervasive communication technology.

OBJECTIVE
Adapting therapeutic practice from traditional face-to-face exchange to remote technology-based delivery presents challenges for the therapist, patient, and technical writer. This article documents the process of therapy adaptation and the resultant specification for the SMART2 project-a technology-based self-management system for assisting long-term health conditions, including chronic pain.


MATERIALS AND METHODS
Focus group discussions with healthcare professionals and patients were conducted to inform selection of therapeutic objectives and appropriate technology.


RESULTS
Pertinent challenges are identified, relating to (1) reduction and definition of therapeutic objectives, and (2) how to approach adaptation of therapy to a form suited to technology delivery. The requirement of the system to provide dynamic and intelligent responses to patient experience and behavior is also emphasized.


CONCLUSION
Solutions to these challenges are described in the context of the SMART2 technology-based intervention. More explicit discussion and documentation of therapy adaptation to technology-based delivery within the literature is encouraged.
NewsInEssence: summarizing online news topics

A news delivery and summarization system, acting as a user's agent, gathers and recaps news items based on specifications and interests.