Miracle-dz/UniFAR-FTUs huggingface dataset:
Participant and Program Characteristics: Correlates of Substance Abuse Treatment Participation and Prison Misconducts

Despite the prevalence of substance dependence in incarcerated populations and the correlation between substance use and crime, only 11% receive substance abuse treatment, even as treatment participation may help reduce institutional misbehavior and postrelease recidivism. The current research examined the influence of individual and program factors on substance abuse treatment participation and prison misconducts in a state prison system. Based on analyses of administrative data from 2012 to 2015 and program data, the findings support previous research documenting participant characteristics as predictors of misconducts. In addition, program training requirements significantly predicted misconducts. Implications and research recommendations are discussed.
Genes, proteins and complexes: the multifaceted nature of FHL family proteins in diverse tissues

• Overview • FHL1: structure, organization, and function ‐ The LIM domain ‐ Spliced variants of FHL1 ‐ Notch signalling and KYOT2/3 proteins ‐ Expression patterns of FHL1 • FHL1 and disease ‐ FHL1 and skeletal muscle myopathies ‐ FHL1 expression levels in cardiovascular diseases ‐ FHL1 and muscle‐associated functions ‐ FHL1 and its transcriptional regulation functions in cancer • Perspectives
Identification of Upper Respiratory Tract Pathogens Using Electrochemical Detection on an Oligonucleotide Microarray

Bacterial and viral upper respiratory infections (URI) produce highly variable clinical symptoms that cannot be used to identify the etiologic agent. Proper treatment, however, depends on correct identification of the pathogen involved as antibiotics provide little or no benefit with viral infections. Here we describe a rapid and sensitive genotyping assay and microarray for URI identification using standard amplification and hybridization techniques, with electrochemical detection (ECD) on a semiconductor-based oligonucleotide microarray. The assay was developed to detect four bacterial pathogens (Bordetella pertussis, Streptococcus pyogenes, Chlamydia pneumoniae and Mycoplasma pneumoniae) and 9 viral pathogens (adenovirus 4, coronavirus OC43, 229E and HK, influenza A and B, parainfluinza types 1, 2, and 3 and respiratory syncytial virus. This new platform forms the basis for a fully automated diagnostics system that is very flexible and can be customized to suit different or additional pathogens. Multiple probes on a flexible platform allow one to test probes empirically and then select highly reactive probes for further iterative evaluation. Because ECD uses an enzymatic reaction to create electrical signals that can be read directly from the array, there is no need for image analysis or for expensive and delicate optical scanning equipment. We show assay sensitivity and specificity that are excellent for a multiplexed format.
On Kronecker and Linearly Structured Covariance Matrix Estimation

The estimation of covariance matrices is an integral part of numerous signal processing applications. In many scenarios, there exists prior knowledge on the structure of the true covariance matrix; e.g., it might be known that the matrix is Toeplitz in addition to Hermitian. Given the available data and such prior structural knowledge, estimates using the known structure can be expected to be more accurate since more data per unknown parameter is available. In this work, we study the case when a covariance matrix is known to be the Kronecker product of two factor matrices, and in addition the factor matrices are Toeplitz. We devise a two-step estimator to accurately solve this problem: the first step is a maximum likelihood (ML) based closed form estimator, which has previously been shown to give asymptotically (in the number of samples) efficient estimates when the relevant factor matrices are Hermitian or persymmetric. The second step is a re-weighting of the estimates found in the first steps, such that the final estimate satisfies the desired Toeplitz structure. We derive the asymptotic distribution of the proposed two-step estimator and conclude that the estimator is asymptotically statistically efficient, and hence asymptotically ML. Through Monte Carlo simulations, we further show that the estimator converges to the relevant Cramér-Rao lower bound for fewer samples than existing methods.
Trace Constructor Transformation Director Helper Routine Verifier Code Cache Builder Trace Request Input Trace Output Trace

Dynamic translation is a well-known and powerful technique for transforming programs as they run. Dynamic translators have many uses including profiling, security assurance, dynamic optimization, and bug patching. However, the utility of dynamic translation is severely limited by a lack of integration with the system in which it is used, instead, requiring individual users to initiate and program the translator. As a result, translation is not transparent, cannot be used to protect system-level security, and can only be programmed by a single party (the user). In this work, we propose integrating dynamic translation with the operating system, providing dynamic translation as an operating system service ( DTSS). With DTSS, the OS dynamically translates all applications according to translation rules provided by any entity (with sufficient access rights) in the system. In addition, this paper describes a number of challenges in implementing DTSS and presents solutions to address them. Performance overhead poses the greatest challenge, but code caching can dramatically reduce overhead. That multiple parties may transform a single program is also challenging. We describe how transformations may be composed and how they are isolated from one another. DTSS has great utility beyond traditional dynamic translation systems, but new implementation strategies are required.
Interaction between the Postsubiculum and Anterior Thalamus in the Generation of Head Direction Cell Activity

Previous research has identified neurons in the postsubiculum (PoS) and anterior dorsal thalamic nucleus (AD) of the rat that discharge as a function of the animal’s head direction. In addition, anatomical studies have shown that the AD and PoS are reciprocally connected with one another. The current study examined whether head direction (HD) cells in each of the two areas is dependent on input from the other structure. After both electrolytic or neurotoxic lesions of the AD, no cells were identified with direction-specific discharge in the PoS. In contrast, AD HD cell activity was still present after neurotoxic lesions to the PoS. However, AD HD cells in PoS-lesioned rats exhibited three important differences compared with AD HD cells in intact animals: (1) their directional firing range was significantly larger, (2) their firing predicted the animal’s future head direction by a larger amount, and (3) their preferred firing direction was substantially less influenced by a prominent visual landmark within the recording environment. These results indicate that information critical for HD cell activity is conveyed in both directions between the AD and the PoS; whereas the AD is necessary for the presence of HD cell activity in the PoS, the PoS appears important in allowing visual landmarks to exert control over the preferred firing direction of AD HD cells. These findings have implications for several computational models that propose to account for the generation of the HD cell signal.
Dynamic and scalable large scale image reconstruction

Recent approaches to reconstructing city-sized areas from large image collections usually process them all at once and only produce disconnected descriptions of image subsets, which typically correspond to major landmarks. In contrast, we propose a framework that lets us take advantage of the available meta-data to build a single, consistent description from these potentially disconnected descriptions. Furthermore, this description can be incrementally updated and enriched as new images become available. We demonstrate the power of our approach by building large-scale reconstructions using images of Lausanne and Prague.
Control Method for Cascaded H-Bridge Multilevel Inverter Failures

To increase the fault tolerance for cascaded H-bridge inverter, this paper presents a novel switch-based control method for operating the inverter when one or more switches are damaged. To control the inverter under faulty mode, only the faulty switches are disposed, the control signals for other switches in the faulty cell are modified according to the fault type. The influence of various faults on space vectors is analysed and the maximum achievable output voltage of the inverter with faulty switches is calculated. Compared with existing cell-based control methods, this method generates higher voltage space vector magnitudes and reduces the influence of switch problems on motor operation in most faulty modes, while keeping producing a balanced line to line voltage, the reliability of the system is then enhanced. The simulated results agree with the theoretical analysis
THE LAX OPERATOR APPROACH FOR THE VIRASORO AND THE W-CONSTRAINTS IN THE GENERALIZED KDV HIERARCHY

We show directly in the Lax operator approach how the Virasoro and W-constraints on the τ-function arise in the p-reduced KP hierarchy or generalized KdV hierarchy. In particular, we consider the KdV and the Boussinesq hierarchy to show that the Virasoro and the W-constraints follow from the string equation by expanding the "additional symmetry" operator in terms of the Lax operator. We also mention how this method could be generalized for higher KdV hierarchies.
Joint Audio-Video Fingerprint Media Retrieval Using Rate-Coverage Optimization

In this work, we propose a joint audio-video fingerprint Automatic Content Recognition (ACR) technology for media retrieval. The problem is focused on how to balance the query accuracy and the size of fingerprint, and how to allocate the bits of the fingerprint to video frames and audio frames to achieve the best query accuracy. By constructing a novel concept called Coverage, which is highly correlated to the query accuracy, we are able to form a rate-coverage model to translate the original problem into an optimization problem that can be resolved by dynamic programming. To the best of our knowledge, this is the first work that uses joint audio-video fingerprint ACR technology for media retrieval with a theoretical problem formulation. Experimental results indicate that compared to reference algorithms, the proposed method has up to 25% query accuracy improvement while using 60% overall bit-rates, and 25% bit-rate reduction while achieving 85% accuracy, and it significantly outperforms the solution with single audio or video source fingerprint.
State Independent Resource Management for Distributed Grids

Advances in network technologies and computing resources have led to the possibility of deploying large scale computational systems, such as those following a Grid architecture (or related architectures). The scheduling problem is a significant issue in the Grid environment. In practice, a scheduling algorithm should consider multiple objectives. Typically, there are two kinds of objectives. The first is the performance of the system in terms of quantities related to the completion time of tasks, the second is the amount of state information required, which is often measured in terms of quantities such as communications costs. These two objectives are often in tension with one another. For example, gathering large amounts of state information can lead to low completion times. In this work, we introduce a scheduling algorithm which simultaneously addresses the objectives listed above namely, minimizing completion times, while requiring zero dynamic state information. Using simulation, we show the promising performance of our algorithm, and its robustness with respect to errors in parameter estimates. Keywords-Grid Scheduling; Scheduling Algorithms; Shadow Routing Approach
Sperm analyses, genetic counselling and therapy in an infertile carrier of a supernumerary marker chromosome 15.

PURPOSE A supernumerary marker chromosome (SMC) was analysed after lymphocyte culture of a patient with oligoasthenoteratozoospermia (OAT) before ICSI treatment. MATERIAL AND METHODS By additional molecular cytogenetic investigations the marker could be identified as a heterochromatic derivate of chromosome 15 [karyotype: 47,XY,+der(15)]. RESULTS Sperm analyses by interphase FISH showed a normal monosomy 15 in 82% and an additional marker in 17% of the cells. In spite of these findings a pregnancy could not be induced. The brother of the patient showed the same chromosome abnormality and an OAT-syndrome as well. CONCLUSIONS ICSI-treatment lead to a normal pregnancy and to the birth of a healthy boy. The genetic risk factors of both marker carriers are analysed in detail.
Developing a Framework for Transferring Knowledge Into Action: A Thematic Analysis of the Literature

Objectives Although there is widespread agreement about the importance of transferring knowledge into action, we still lack high quality information about what works, in which settings and with whom. While there are a large number of models and theories for knowledge transfer interventions, the majority are untested, meaning that their applicability and relevance is largely unknown. This paper describes the development of a conceptual framework of translating knowledge into action and discusses how it can be used for developing a useful model of the knowledge transfer process. Methods A narrative review of the knowledge transfer literature identified 28 different models which explained all or part of the knowledge transfer process. The models were subjected to a thematic analysis to identify individual components and the types of processes used when transferring knowledge into action. The results were used to build a conceptual framework of the process. Results Five common components of the knowledge transfer process were identified: problem identification and communication; knowledge/research development and selection; analysis of context; knowledge transfer activities or interventions; and knowledge/research utilization. We also identified three types of knowledge transfer processes: a linear process; a cyclical process; and a dynamic multidirectional process. From these results a conceptual framework of knowledge transfer was developed. The framework illustrates the five common components of the knowledge transfer process and shows that they are connected via a complex, multidirectional set of interactions. As such the framework allows for the individual components to occur simultaneously or in any given order and to occur more than once during the knowledge transfer process. Conclusion Our framework provides a foundation for gathering evidence from case studies of knowledge transfer interventions. We propose that future empirical work is designed to test and refine the relevance, importance and applicability of each of the components in order to build a more useful model of knowledge transfer which can serve as a practical checklist for planning or evaluating knowledge transfer activities.
Multimodal People Detection and Tracking in Crowded Scenes

This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the laser scans are clustered using a novel graph-based method and an SVM based version of the cascaded AdaBoost classifier is trained with a set of geometrical features of these clusters. In the detection phase, the classified laser data is projected into the camera image to define a region of interest for the vision-based people detector. This detector is a fast version of the Implicit Shape Model (ISM) that learns an appearance codebook of local SIFT descriptors from a set of hand-labeled images of pedestrians and uses them in a voting scheme to vote for centers of detected people. The extension consists in a fast and detailed analysis of the spatial distribution of voters per detected person. Each detected person is tracked using a greedy data association method and multiple Extended Kalman Filters that use different motion models. This way, the filter can cope with a variety of different motion patterns. The tracker is asynchronously updated by the detections from the laser and the camera data. Experiments conducted in real-world outdoor scenarios with crowds of pedestrians demonstrate the usefulness of our approach.
Relación entre estrés laboral y burnout en una muestra de controladores de tráfico aéreo en Chile

Esta investigación tiene por objetivo hallar la relación entre el burnout, el estrés laboral, la satisfacción laboral y el conflicto trabajo-familia en controladores de tráfico aéreo, como variables diferenciales: edad, sexo, estado civil, permanencia laboral, tipo de contrato y presencia o ausencia de hijos. Esta investigación es de tipo descriptivo-correlacional de corte transversal. Se aplicaron los Cuestionario: MBI-GS de Burnout, Instrumento de Medición de detonantes de Estrés Laboral para pilotos (IMDELP) y el Cuestionario Conflicto Trabajo-Familia. La muestra fue de 161 personas, mediante muestreo intencionado. Los resultados indican que se obtuvo un nivel moderado de burnout, estrés laboral y conflicto trabajo-familia, existiendo diferencias significativas y directamente proporcionales a la hora de analizar las dimensiones del burnout relacionándolas con extensión de las jornadas de trabajo y agotamiento, agotamiento y conflicto trabajo-familia, estrés laboral y cinismo.
Edge Detection with Geometric Transforms and Isotropic Nonlinear Equation 1

In image processing wavelet transform methods are known to provide efficient schemes for detecting edges and reducing noise. However, they are unable to differentiate between noise and small details and therefore remove the small details resulting in the formation of oscillations around edges. Methods based on isotropic nonlinear equations have been used to enhance edges in images and to reduce oscillations around the edges but are not capable of removing noise effectively around them. In this paper, we solve the isotropic nonlinear equation in a geometric transform space and thereby reducing both noise and oscillations around the edges. The proposed synergic method combines the advantages of both techniques. The numerical experiments involve the investigation of two-dimensional geometric transforms in the detection of edges in noisy images.
The risk of insecticides to pollinating insects

A key new risk to our pollinators has been identified as exposure to neonicotinoid insecticides. These discoveries have refuelled the debate over whether or not the neonicotinoid insecticides should be banned and conflicting evidence is used in this battle. However, the issue is not black or white, but gray. It is not an issue of whether the neonicotinoids are toxic to insects or not. Clearly, all insecticides were designed and optimized for this attribute. The real question is, or at least should be, which insecticide is the safest for use for a particular need.
Outcome of prosthesis exchange for infected knee arthroplasty: the effect of treatment approach

Background and purpose Two-stage revision remains the gold standard in the treatment of infected knee arthroplasty. Lately, good long-term results of direct exchange arthroplasty have been reported. The purpose of this literature review is to compare the clinical outcome achieved with one-stage revision and two-stage revision with different types of spacers. Methods A thorough systematic review of literature was undertaken to idenepsy reports on the treatment alternatives. Papers written in English or including an English abstract, published from 1980 through 2005, and reporting either the success rate in eradication of infection or the clinical status achieved were reviewed. 31 original articles describing the results of 154 one-stage exchange arthoplasties and of 926 two-stage exchange arthoplasties were included. The depth of detail in the description of materials and methods varied markedly, making it impossible to perform a meta-analysis. Instead, a descriptive review of the results is presented. Results With a follow-up of 12–122 months, the overall success rate in eradication of infection was 73–100% after one-stage revisions and 82–100% after two-stage revisions. Reinfection rates were the lowest in series where articulating cement spacers were used, though the follow-up was relatively short. Studies using articulating spacers reported the highest average postoperative ranges of motion. Otherwise, no correlations were observed between the clinical outcome and the length of follow-up, the type of revision, or the type of spacer. The clinical outcome (knee scores and range of motion) of the one-stage revisions was no different from that of the two-stage revisions. Interpretation Two-stage exchange is an effective treatment. Mobile spacers may further improve the range of motion. More experience in one-stage revision is required in order to define its role in the management of infected knee arthroplasties.
Action/Verb processing: Debates in neuroimaging and the contribution of studies in patients with Parkinson's disease

The objective of the current review was to verify whether studies investigating lexical-semantic difficulties in patients with Parkinson's disease (PD) support the Embodied Cognition model. Under this framework, it is predicted that patients with PD will have more difficulties in the semantic processing of action concepts (action verbs) than of motionless objects. We also verified how and whether these studies are following current debates of Neuroscience, particularly the debate between the Lexical and the Embodied Cognition models. Recent neuroimaging studies on the neural basis of the semantics of verbs were presented, as well as others that focused on the neural processing of verbs in PD. We concluded that few studies suitably verified the Embodied Cognition theory in the context of PD, especially using neuroimaging techniques. These limitations show there is much to investigate on the semantic difficulties with action verbs in these patients, where it is particularly important to control for psycholinguistic variables and the inherent semantic characteristics of verbs in future studies.
Identification of Steganography Software Based on Core Instructions Template Matching

In this paper, based on the principles of LSB Replacement Steganography algorithm, we propose an approach to identify steganography software by Core Instructions Template Matching. First, we take the process of operations to the pixels in the LSB Replacement steganography algorithm as Core Instructions, and we have analyzed the implementation of Core Instructions in a variety of typical steganography software based on LSB Replacement Steganography algorithm, build the corresponding template for each of implementations. And then we determine whether the software is a LSB replacement steganography software according to the existence of codes matched with the Core Instructions Template. The experimental results show that this method can identify some of the steganography software based on the LSB Replacement Steganography algorithm.
Efficient algorithms for inferences on Grassmann manifolds

Linear representations and linear dimension reduction techniques are very common in signal and image processing. Many such applications reduce to solving problems of stochastic optimizations or statistical inferences on the set of all subspaces, i.e. a Grassmann manifold. Central to solving them is the computation of an "exponential" map (for constructing geodesies) and its inverse on a Grassmannian. Here we suggest efficient techniques for these two steps and illustrate two applications: (i) For image-based object recognition, we define and seek an optimal linear representation using a Metropolis-Hastings type, stochastic search algorithm on a Grassmann manifold, (ii) For statistical inferences, we illustrate computation of sample statistics, such as mean and variances, on a Grassmann manifold.