Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated

Given a matrix of observed data, Principal Components Analysis (PCA) computes a small number of orthogonal directions that contain most of its variability. Provably accurate solutions for PCA have been in use for a long time. However, to the best of our knowledge, all existing theoretical guarantees for it assume that the data and the corrupting noise are mutually independent, or at least uncorrelated. This is valid in practice often, but not always. In this paper, we study the PCA problem in the setting where the data and noise can be correlated. Such noise is often also referred to as "data-dependent noise". We obtain a correctness result for the standard eigenvalue decomposition (EVD) based solution to PCA under simple assumptions on the data-noise correlation. We also develop and analyze a generalization of EVD, cluster-EVD, that improves upon EVD in certain regimes.
Methylation of the candidate biomarker TCF21 is very frequent across a spectrum of early‐stage nonsmall cell lung cancers

The transcription factor TCF21 is involved in mesenchymal‐to‐epithelial differentiation and was shown to be aberrantly hypermethylated in lung and head and neck cancers. Because of its reported high frequency of hypermethylation in lung cancer, further characterization of the stages and types of nonsmall cell lung cancer (NSCLC) that are hypermethylated and the frequency of hypermethylation and associated “second hits” were assessed.
Assessing Teacher Manageability: A Factor Analytic Approach

An ecologically valid appraisal of students' problem behaviors must include assessment of the teacher's role as perceiver on various levels. This study analyzes the teacher manageability construct, examining educators' beliefs about their ability to manage 39 generally maladaptive behaviors within their own classroom. To address measurement limitations of previous investigations (including nonfactor analytic clustering of behaviors), a principal component analysis followed by a varimax rotation was administered on teacher manageability ratings (N = 182). This statistical analysis yielded nine component subtests (the Teacher Manageability Scale) and demonstrated that by changing the method used to group behaviors, you also modify the structure of a teacher checklist. Lack of Communication was identified as the most difficult behavior to manage. Implications for professionals working with students identified as behaviorally disordered and for future research are discussed.
The Tribal Health Initiative model for healthcare delivery: a clinical and epidemiological approach.

BACKGROUND Tribal populations generally have poor health outcomes, often because of a healthcare delivery system that does not cater to their needs. This study evaluates a current healthcare model for tribals, and explores it in combination with the health status of the target population, placing emphasis on the long term sustainability and cross-implementation of the model. METHODS We examined the health system from the perspective of the base hospital, by concentrating on mortality patterns, inpatient incidence of selected infectious and non-infectious illnesses, and the preventive and curative health services administered by the hospital to the community. RESULTS Gender susceptibility patterns revealed disparities in anaemia and tuberculosis besides fluctuations in gastrointestinal disorders, tuberculosis and typhoid. A combination of gender- and age-susceptibility patterns revealed specific age intervals for mental health-related disorders. Mortality patterns indicated an Increase in youth deaths and suicide, with an overall reduction in infant mortality. However, an increased tribal confidence in allopathic medicine was noted after implementation of the health system. CONCLUSION The base tribal hospital is important in administering primary and secondary healthcare, health education, disease surveillance, community outreach and for continued confidence in allopathic medicine. Diet-based morbidities may be combated via organic farming and banning local alcohol production, while anaemia may be combated through continued iron, salt and folic acid supplementation to women. The formulation of mental health programmes and long term educational initiatives at the village level are critical to reducing suicide and infant mortality. Further epidemiological studies are required to gain a complete picture of health within the population, and successful implementation of the model elsewhere must factor in sociocultural disparities among tribes.
High-Order Multi-Level Optical Transmission for beyond 100 Gb/s Using High-Speed DACs

This paper describes high-speed and high-spectral efficiency optical transmission technologies that focus on channel rates beyond 100 Gb/s. Quadrature amplitude modulation (QAM) is adopted to achieve high spectral efficiency. First, we review recent progress in optical QAM transmission technologies. High-speed digital-to-analog converters (DACs) are key components for generating optical QAM signals. We recently developed a high-speed DAC fabricated by indium phosphide (InP) heterojunction bipolar transistors (HBTs) technology. It has a resolution of 6 bits and operates at up to 28 Gs/s. We performed a 25 GHz-spaced eleven-channel 171 Gb/s 16-QAM transmission experiment using our DAC. We achieved the record spectral efficiency-distance product of 9216 b/s/Hz-km (6.4 b/s/Hz x 1440 km) using the optical 16-QAM format.
Functional analysis of problem behavior : from effective assessment to effective support

1. Introduction. PART I. LINKING FUNCTIONAL ASSESSMENT TO EFFECTIVE INTERVENTION. 2. Hypotheses-Based Intervention for Severe Problem Behavior. 3. Community-based Functional Assessment. 4. Predicting and Enhancing the Effectiveness of Reinforcers and Punishers. 5. Bio-behavioral Diagnosis and Treatment of Self-Injury. 6. Low Frequency High Intensity Problem Behavior: Toward an Applied Technology of Functional Assessment and Intervention. 7. Assessment and Treatment of Behavior Disorders Maintained by Nonsocial (Automatic) Reinforcement. 8. Threats to Internal and External Validity of Three Functional Assessment Procedures. PART II. FUNCTIONAL ASSESSMENT IN PRESCHOOL AND SCHOOL. 9. Prevention of Problem Behaviors in Preschool Children. 10. Assessment-based Interventions for Children with Emotional and Behavioral Disorders. 11. Analyzing Behavior Disorders in Classrooms. 12. Naturalistic Functional Assessment with Regular and Special Education Students in Classroom Settings. 13. Antecedent Curriculum and Instructional Variables as Classwide Interventions for Preventing or Reducing Problem Behaviors. PART III. NEW DIRECTIONS FOR FUNCTIONAL ASSESSMENT. 14. Functional Assessment for a Sex Offender Population. 15. Gerontology and Functional Analysis. 16. Two Case Studies of Functional Assessment and Functional Support: Idea Compliance and Capacity Building Issues. 17. Implications of Behavior State for the Assessment and Education of Students with Profound Disabilities. 18. Darwin, Skinner and the Concept of Reinforcement.
Sirt3 Substrate Specificity Determined by Peptide Arrays and Machine Learning

A ccumulating evidence suggests that reversible protein acetylation, which was historically reserved for histone proteins, may be a major regulatory mechanism that controls the functions of nonhistone proteins. With the recent cataloging of ϳ1000 acetylation sites on protein lysine residues (1–3) comes the challenge of assigning functional roles to specific acetylation sites, identifying the acetyltrans-ferases and deacetylases that regulate acetylation levels , and elucidating the physiological cause and effect of specific lysine acetylation sites. Sirtuins (or Sir2-like proteins) are a conserved family of NAD ϩ-dependent protein deacetylases that are implicated in genome maintenance, metabolism, cell survival, and lifespan (4, 5). The NAD ϩ-dependence of the sirtuin reaction suggests that specific protein deacetylation is inextricably linked to metabolism, redox control, and energy status. The observation that the seven mammalian sirtuins (SIRT1–7) display distinct subcellular localization further supports the hypothesis that many, if not most, targets of mammalian sirtuins are nonhistone proteins. Recent mass spectrometry studies revealed the widespread occurrence of acetylated proteins within mito-chondria, as greater than 20% of all mitochondrial proteins are acetylated on at least one lysine residue (1–3). Mitochondria are central to cellular metabolism, and mitochondrial dysfunction has been linked to neu-rodegeneration, diabetes, heart disease, and other age-related diseases (6). Understanding the role and function of mitochondrial regulation by reversible protein acetylation could lead to the better understanding of metabolic function and disease etiology. In humans, SIRT3, SIRT4, and SIRT5 are localized to mitochondria. Among these sirtuins, only SIRT3 displays robust deacetylation activity (7). Polymorphisms in human SIRT3 have been linked to survivorship among the ABSTRACT Accumulating evidence suggests that reversible protein acetylation may be a major regulatory mechanism that rivals phosphorylation. With the recent cataloging of thousands of acetylation sites on hundreds of proteins comes the challenge of identifying the acetyltransferases and deacetylases that regulate acetylation levels. Sirtuins are a conserved family of NAD ϩ-dependent protein deacetylases that are implicated in genome maintenance, metabolism, cell survival , and lifespan. SIRT3 is the dominant protein deacetylase in mitochondria, and emerging evidence suggests that SIRT3 may control major pathways by deacetyla-tion of central metabolic enzymes. Here, to identify potential SIRT3 substrates, we have developed an unbiased screening strategy that involves a novel acetyl-lysine analogue (thiotrifluoroacetyl-lysine), SPOT-peptide libraries, machine learning , and kinetic validation. SPOT peptide libraries based on known and potential mitochondrial acetyl-lysine sites were screened for SIRT3 binding and then analyzed using machine learning to establish binding trends. …
The Central DOA Estimation Algorithm for Multiple Coherently Distributed Sources

We consider the problem of estimating the central direction of arrival (DOA) of multiple coherently distributed sources. This problem is encountered due to the presence of local scatters in the vicinity of a transmitter or due to signals propagating through a random inhomogeneous medium. Since the integral steering vector of coherently distributed source can be deduced to be a Schur-Hadamard product comprised of point source steering vector and a real vector, a rotational eigenstructure is showed to exist accurately for two identical closely spaced subarrays. And then the central DOA can be obtained analytically without any peak-finding searching, which significantly reduces the computational complexity. In addition, the proposed algorithm needs little prior knowledge about angular signal intensity. The simulation results illustrate the better performance of the proposed method.
Fuzzy c-means for Fuzzy Hierarchical Clustering

This paper describes an algorithm for building fuzzy hierarchies. These are hierarchies where the elements can have fuzzy membership to the nodes. The paper presents an approach that mainly follows a bottom-up strategy, and describes the functions needed to operate with fuzzy variables. An example of the application of the approach is also presented
Making SWB more relevant to policy : some issues in the context of older people 1

Broadly speaking, there are three accounts of well-being: mental state accounts, objective list accounts and desire fulfilment accounts (Parfit, 1984) The latter two perspectives have arguably had a much greater influence on academic debate, particularly in economics, and certainly on public policy (Diener and Seligman, 2004). For example, governments routinely target poverty, unemployment, literacy rates and violent crime, and try to increase the choices people have through raising average incomes and/or deregulating public services. Much less attention has been paid to exploring and trying to directly improve how people actually feel.
Bubbling menus: a selective mechanism for accessing hierarchical drop-down menus

This paper introduces bubbling menus, a new design for cascading drop-down menus. Bubbling menus combine the bubble cursor [10] with directional mouse-gesture techniques to facilitate the access of certain items in a menu, such as frequently selected items. Through an extensive iterative design process, we explore bubbling menus in the context of adaptive and customizable user interfaces. Unlike other adaptation and customization techniques such as split menus, bubbling menus do not disrupt the original structure of menus and enable the activation of menus far from a menu bar. Results from two evaluation studies presented in the paper show that bubbling menus provide an effective alternative to accelerate menu selections tasks.
Psychological treatments for trichotillomania: Update and future directions

Objective: This paper aims to provide an overview of evidence-based psychological treatments for trichotillomania. Conclusions: Advances in the understanding of the phenomenology of trichotillomania has led to the augmentation of behavioural treatments with dialectical behaviour therapy and acceptance and commitment therapy. Further studies of treatment component efficacy and cognitive behavioural models are required.
Effects of partial liquid ventilation with perfluorocarbons on pressure-flow relationships, vascular compliance, and filtration coefficients of isolated blood-perfused rabbit lungs.

OBJECTIVES The density of perfluorocarbons is almost twice that of blood. Therefore, we hypothesized that partial liquid ventilation with these fluids markedly affects pulmonary hemodynamics and filtration coefficients. To test these hypotheses we studied pressure-flow relationships, vascular compliances, capillary pressures, and filtration coefficients in normal and perfluorocarbon-ventilated rabbit lungs. DESIGN Controlled animal study with an ex-vivo isolated lung preparation. SETTING Research laboratory for experimental anesthesiology at the Heinrich-Heine-University of Düsseldorf. SUBJECTS Fourteen New Zealand White rabbits. INTERVENTIONS The lungs were perfused under zone 3 flow conditions with autologous blood at various flow rates (50 to 250 mL/min, closed circuit, roller pump, 37 degrees C) and ventilated with 5% CO2 in air (positive end-expiratory pressure: 2 cm H2O, tidal volume: 10 mL/kg, respiratory rate: 30 breaths/min) without (control group, n=7) and with (n=7) perfluorocarbon administered intratracheally (15 mL/kg). MEASUREMENTS AND MAIN RESULTS Pulmonary arterial, left atrial, and airway pressures, as well as blood reservoir volume (reflecting changes in pulmonary blood volume) and lung weight, were measured continuously. Inconsistent with our hypothesis, we found no significant differences between both groups in the slopes and intercepts of the pressure-flow relationships. There were no significant differences in capillary pressures determined by double occlusion (6.7+/-1.2 vs. 6.3+/-1.3 cm H2O for control group, p=.53), vascular compliances (0.51+/-0.10 vs. 0.47+/-0.09 mL/cm H2O for control group, p=.38), and filtration coefficients (0.33+/-0.06 vs. 0.37+/-0.07 mL/min/mm Hg/100 g wet weight for control group, p=.80, Mann-Whitney). CONCLUSIONS Partial liquid ventilation with perfluorocarbons has no relevant effects on pulmonary filtration coefficients and global hemodynamic variables of isolated zone 3 lungs. These findings suggest that right ventricular afterload is not changed with partial liquid ventilation. It is likely, however, that intrapulmonary blood flow is redistributed toward less-dependent regions, although relevant global hemodynamic changes are absent during partial liquid ventilation.
Conceptual and empirical issues in the duration of anger.

The temporal dimensions of emotions have received insufficient attention in the psychological literature. In particular, the duration and the course of events in emotions have not been systematically examined. The present thesis seeks to address this gap in the literature by means of a conceptual and empirical exploration of the duration of anger, and an empirically-based study of other temporal features of anger with particular emphasis on its termination. The major traditions in the psychological study of emotions are examined with regard to their treatment of temporal dimensions. An important source of difficulty is identified in a widespread but heretofore unrecognized conceptual confusion: the traditional theories founder when they attempt to apply inherently momentary, temporallybound, "occurrent" concepts to features of emotions which are extended in time. A rectification of this conceptual confusion is proposed, employing the philosophical concept of a disposition. This account of emotions as time-limited psychological dispositions is refined through an application of the social-psychological concept of an episode. Questionnaire data bearing on relevant aspects of everyday episodes of anger are reported; the duration of respondents' anger, the differential features of short-term and long-term anger, and the factors responsible for the termination of anger are discussed from a "social constructivist" perspective on emotions. Finally, the implications of the present study for the further development of theory and research on emotions are briefly assessed. i v
Towards a Low-Cost Remote Memory Attestation for the Smart Grid

In the smart grid, measurement devices may be compromised by adversaries, and their operations could be disrupted by attacks. A number of schemes to efficiently and accurately detect these compromised devices remotely have been proposed. Nonetheless, most of the existing schemes detecting compromised devices depend on the incremental response time in the attestation process, which are sensitive to data transmission delay and lead to high computation and network overhead. To address the issue, in this paper, we propose a low-cost remote memory attestation scheme (LRMA), which can efficiently and accurately detect compromised smart meters considering real-time network delay and achieve low computation and network overhead. In LRMA, the impact of real-time network delay on detecting compromised nodes can be eliminated via investigating the time differences reported from relay nodes. Furthermore, the attestation frequency in LRMA is dynamically adjusted with the compromised probability of each node, and then, the total number of attestations could be reduced while low computation and network overhead can be achieved. Through a combination of extensive theoretical analysis and evaluations, our data demonstrate that our proposed scheme can achieve better detection capacity and lower computation and network overhead in comparison to existing schemes.
Analysis of Series of Measurements from Job-Centric Monitoring by Statistical Functions

The rising number of executed programs (jobs) enabled by the growing amount of available resources from Clouds, Grids, and HPC (for example) has resulted in an enormous number of jobs. Nowadays, most of the executed jobs are mainly unobserved, so unusual behavior, non-optimal resource usage, and silent faults are not systematically searched and analyzed. Job-centric monitoring enables permanent job observation and, thus, enables the analysis of monitoring data. In this paper, we show how statistic functions can be used to analyze job-centric monitoring data and how the methods compare to more-complex analysis methods. Additionally, we present the usefulness of job-centric monitoring based on practical experiences.
A study of lightweight ontology for herb domain

The usage of herb has evolved from an alternative healing option to mainstream medical field, culinary, cosmetic as well as gardening purpose. The dramatic increment of interest in the usage of herb these days are due to the critical scientific analysis and quality control of its therapeutic potential and safety. Consequently, the process of searching for herbal information becomes difficult due to the heterogeneity of herb data, as well as the overlapping content. The massive herb knowledge needs to be organized and managed so that it can be accessed easily by scientists, herbalists and general users. The herb species, usages and their relationship need to be well-captured and stored. Thus, ontology is seen as a solution to solve this problem. Nowadays, ontology is in widespread use as a means in representing domain knowledge. The reason for such extensive use is that it is not only consistent but also has upward compatibility and is modifiable. However, the ontology design released by researchers especially in herb domain is relatively small in number. A characteristic of lightweight ontology is further investigated in order to modelling the herb domain.
Fault-Tolerant Mechanism for Hierarchical Branch and Bound Algorithm

Solving exactly large instances of Combinatorial Optimization Problems emph{(COPs)} using Branch and Bound emph{(B&B) }algorithms requires a huge amount of computing resources. These resources can be offered by computational grids and the scalability can be achieved using Hierarchical Master/Worker-based B&B pushing the limits of the traditional Master/Worker paradigm. However, the resources offered by grids are most of the time unreliable, volatile, and heterogeneous. Therefore, they must take into account fault tolerance. In this paper, we present FTH-B&B, a fault tolerant hierarchical B&B, in order to deal with the fault tolerance issue. It is composed of several fault tolerant Master/Worker-based sub-B&Bs organized hierarchically into groups and perform independently fault tolerant mechanism. Beside, a fault recovery mechanism is introduced to recover and avoid redundant exploration of sub-problems in case of failures. In addition, we propose a mechanism to maintain the hierarchy safe and balanced during the lifetime of the algorithm. Our algorithm is applied to the Flow-Shop scheduling problem emph{(FSP)} and implemented on top of the ProActive grid middleware. It has been promisingly experimented on the Grid'5000 French nation-wide grid and shows its ability to remain efficient even in presence of failures.