Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploration of the (Interrater) Reliability and Latent Factor Structure of the Alcohol Use Disorders Identification Test (AUDIT) and the Drug Use Disorders Identification Test (DUDIT) in a Sample of Dutch Probationers

Background: The use of brief, reliable, valid, and practical measures of substance use is critical for conducting individual (risk and need) assessments in probation practice. In this exploratory study, the basic psychometric properties of the Alcohol Use Disorders Identification Test (AUDIT) and the Drug Use Disorders Identification Test (DUDIT) are evaluated. Methods: The instruments were administered as an oral interview instead of a self-report questionnaire. The sample comprised 383 offenders (339 men, 44 women). A subset of 56 offenders (49 men, 7 women) participated in the interrater reliability study. Data collection took place between September 2011 and November 2012. Results: Overall, both instruments have acceptable levels of interrater reliability for total scores and acceptable to good interrater reliabilities for most of the individual items. Confirmatory factor analyses (CFA) indicated that the a priori one-, two- and three-factor solutions for the AUDIT did not fit the observed data very well. Principal axis factoring (PAF) supported a two-factor solution for the AUDIT that included a level of alcohol consumption/consequences factor (Factor 1) and a dependence factor (Factor 2), with both factors explaining substantial variance in AUDIT scores. For the DUDIT, CFA and PAF suggest that a one-factor solution is the preferred model (accounting for 62.61% of total variance). Conclusions: The Dutch language versions of the AUDIT and the DUDIT are reliable screening instruments for use with probationers and both instruments can be reliably administered by probation officers in probation practice. However, future research on concurrent and predictive validity is warranted.
Communication channel equalization based on Levenberg-Marquardt trained artificial neural networks

Transmitting digital signals through frequency selective communication channel, several problems arise, such as additive noise and ISI (Inter-Symbol Interference). To compensate distortions caused by these factors and to find the original information being transmitted, equalization process is performed at the receiver. Previous authors have shown that nonlinear feed-forward equalizers based on either MLP (Multi Layer Perceptron) or RBF (Radial Basis Function) can outperform linear equalizers. In this paper, we suggest an adaptive neural network equalizer using Levenberg-Marquardt training algorithm, (MLP-LM), which considerably reduces the learning MSE (Mean Square Error) and eliminates efficiently the effects of ISI comparatively to the MLP-BP, RBF and conventional equalizers.
Micromagnetic modeling with eddy current and current-induced spin torque effects

A micromagnetic model of a current perpendicular to plane (CPP) spin valve which incorporated eddy current effects and spin transfer torque due to spin-polarized current was presented. The model utilized Co element that is discretized into unit cells. The eddy currents and spin transfer torque effects were modeled by solving Faraday's and Poisson's equations and Slonczewski spin torque. The results showed an appreciable drop in the remanence in the presence eddy currents but the coercivity remained the same. Thus the model predicted that eddy currents has significant effect on switching dynamics of spintronics devices and must be accounted for.
Graphical Models for Groups: Belief Aggregation and Risk Sharing

We investigate the practical value of using graphical models to aid in two fundamental problems of group coordination: (1) belief aggregation and (2) risk sharing. We identify restrictive conditions under which graphical models can be useful in both settings. We show that the output of the logarithmic opinion pool (LogOP) can be represented as a Markov network (MN) or a decomposable Bayesian network (BN), and give an algorithm for doing so. We show that a securities market structured like a decomposable BN can support optimal risk sharing, if all agents have exponential utility and all of their Markov independencies coincide with the market structure. On the other hand, most of our results are negative, taking the form of impossibility theorems. We show that no belief aggregation function can maintain all independencies representable in a BN. Neither can an aggregation computation be decomposed into local computations on graph subsets. We show that computing query outputs of LogOP or the linear opinion pool (LinOP) is NP-hard. Except in fairly restrictive settings, structuring securities markets according to unanimously agreed upon independencies may be of no help in supporting optimal risk sharing because agents' behavioral independencies change as they engage in securities trade.
Phase I and biomarker study of OPB-51602, a novel signal transducer and activator of transcription (STAT) 3 inhibitor, in patients with refractory solid malignancies.

BACKGROUND The aim of this study was to determine the maximum-tolerated dose (MTD), safety, pharmacokinetics, and pharmacodynamics of OPB-51602, an oral, direct signal transduction activator of transcription 3 (STAT3) inhibitor, in patients with refractory solid tumors. PATIENTS AND METHODS Three cohorts were studied: cohort A, a sequential dose escalation of OPB-51602 administered intermittently (days 1-14 every 21 days); cohort B, an expansion cohort evaluating the dose lower than the MTD; cohort C, evaluating continuous daily dosing. RESULTS Fifty-one patients were studied at 2, 4, and 5 mg per day dosing. The MTD was 5 mg; first-cycle dose-limiting toxicities (DLTs) were grade 3 hyponatremia in one patient, and grade 3 dehydration in another. Intermittent dosing of both 2 and 4 mg doses were tolerable, and the recommended phase II dose was 4 mg. Cohort B investigated 4 mg intermittently, whereas cohort C investigated 4 mg continuously. Common toxicities included fatigue, nausea/vomiting, diarrhea, anorexia, and early-onset peripheral neuropathy. Drug-induced pneumonitis occurred in two patients in cohort C. Continuous dosing was associated with a higher incidence of peripheral neuropathy and a lower mean relative dose intensity, compared with intermittent dosing. Steady-state pharmacokinetics was characterized by high oral clearance, mean elimination half-life ranging from 44 to 61 h, and a large terminal-phase volume of distribution. An active metabolite, OPB-51822, accumulated to a greater extent than OPB-51602. Flow cytometry of peripheral blood mononuclear cells demonstrated pSTAT3 (Tyr(705)) inhibition following exposure. Two patients achieved partial responses at 5 mg intermittently and 4 mg continuously; both had epidermal growth factor receptor (EGFR) mutation-positive non-small-cell lung cancer (NSCLC) with prior EGFR tyrosine kinase inhibitor exposure. CONCLUSION OPB-51602 demonstrates promising antitumor activity, particularly in NSCLC. Its long half-life and poorer tolerability of continuous dosing, compared with intermittent dosing, suggest that less frequent dosing should be explored. CLINICALTRIALSGOV IDENTIFIER NCT01184807.
Novel organogels for topical delivery of naproxen: design, physicochemical characteristics and in vitro drug permeation

Abstract Taking into account possible irritation of the skin upon contact with naproxen (NPX) crystals and lower bioavailability after administration of the suspended or ionized drug, the aim of the work was to design and characterize novel and easy-to-formulate gels with the entirely dissolved drug in the acidic form. The formulations contained ethanol, SynperonicTMPE/L 62 and Arlasolve® DMI or Transcutol®. Carbopol®940 was used as the thickener. The properties of organogels were compared with six market products. The rheological measurements included steady flow experiments and oscillatory analysis. The texture profile analysis was conducted to calculate the mechanistic parameters. The in vitro permeation studies were performed on SOTAX CE 7 smart apparatus with the application of Strat-M artificial membranes. The obtained organogels fulfilled the requirements for topical products in terms of consistency, uniformity, stability, drug dissolution and permeation. The permeation studies revealed distinct differences among the commercial hydrogels according to permeation coefficients (kP), drug flux (Jss) and average cumulative amount of NPX per area after 12 h (Q12h). The presented work clearly shows that the organogels can be proposed as an alternative for commercial products where NPX occurs in the form of crystals.
A reconfiguration-based defect-tolerant design paradigm for nanotechnologies

This article discusses a novel probabilistic design paradigm targeting reconfigurable architected nanofabrics and points to a promising foundation for comprehensively addressing, at the system level, the density, scalability, and reliability challenges of emerging nanotechnologies. The approach exposes a new class of yield, delay, and cost trade-offs that must be jointly considered when designing computing systems in defect-prone nanotechnologies.
Predicting utility under satiation and habituation

We introduce a modification of the discounted utility model that accounts for both habituation and satiation in intertemporal choice. Habituation level and satiation level are state variables that induce changes in preferences as those states vary. We examine several properties of our model, discuss willingness to pay for an additional unit of consumption, and characterize the optimal consumption path. Predicted utility under projection bias and narrow bracketing is compared to actual realized utility. We argue that projection bias and narrow bracketing successfully explain the hedonic treadmill in the research area of happiness and life satisfaction.
A 10 mW, 0.4 $\mu \text{g}/\surd $ Hz, 700 Hz $\Sigma \Delta $ High-Order Electromechanical Modulator for a High-Q Micromechanical Capacitive Accelerometer

A switched-capacitor sigma–delta (<inline-formula> <tex-math notation="LaTeX">$\Sigma \Delta $ </tex-math></inline-formula>) CMOS interface circuit for the closed-loop operation of a micromechanical capacitive accelerometer is presented in this paper. A distributed-feedback and feedforward topology is proposed to combine with a high-Q sensor element to obtain a sub-<inline-formula> <tex-math notation="LaTeX">$\mu \text{g}/\surd $ </tex-math></inline-formula>Hz noise floor. The loop stability is implemented by damping the high-Q sensor element in the operation of electrostatic feedback force and heavy phase compensation, which introduces an extra zero to compensate the loop. Besides, the low-frequency loop gain is controlled by off-chip adjusting of distributed-feedback factor to keep the balance between the loop stability and noise shaping ability. The interface circuit is designed and fabricated in a standard 0.5-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS process. The chip consumes 10 mW from a single 5-V supply. The measurement results show that the noise level is lower than 400 ng/<inline-formula> <tex-math notation="LaTeX">$\surd $ </tex-math></inline-formula>Hz, and the average noise equivalent acceleration density is 200 ng/<inline-formula> <tex-math notation="LaTeX">$\surd $ </tex-math></inline-formula>Hz over a 700-Hz bandwidth. The input range of the accelerometer is ±0.7 g resulting in a dynamic range of 125 dB over 1-Hz bandwidth. The measured sensitivity of 2.5 V/g is shown with a dc nonlinearity of 0.17%, and the bias instability is <inline-formula> <tex-math notation="LaTeX">$19~\mu \text{g}$ </tex-math></inline-formula>.
Gene expression Significance analysis of groups of genes in expression profiling studies

Motivation: Gene class testing (GCT) is a statistical approach to determine whether some functionally predefined classes of genes express differently under two experimental conditions. GCT computes the P-value of each gene class based on the null distribution and the gene classes are ranked for importance in accordance with their P-values. Currently, two null hypotheses have been considered: the Q1 hypothesis tests the relative strength of association with the phenotypes among the gene classes, and the Q2 hypothesis assesses the statistical significance. These two hypotheses are related but not equivalent. Method: We investigate three one-sided and two two-sided test statistics under Q1 and Q2. The null distributions of gene classes under Q1 are generated by permuting gene labels and the null distributions under Q2 are generated by permuting samples. Results: We applied the five statistics to a diabetes dataset with 143 gene classes and to a breast cancer dataset with 508 GO (Gene Ontology) terms. In each statistic, the null distributions of the gene classes under Q1 are different from those under Q2 in both datasets, and their rankings can be different too. We clarify the one-sided and two-sided hypotheses, and discuss some issues regarding the Q1 and Q2 hypotheses for gene class ranking in the GCT. Because Q1 does not deal with correlations among genes, we prefer test based on Q2. Contact: jchen@nctr.fda. gov Supplementary information: Supplementary data are available at Bioinformatics online.
Bullying at work Antecedents and outcomes

7 The bullying phenomenon 9 Bullying defined 10 Types of bullying 11 Bullying and related constructs 22 Prevalence, antecedents and outcomes of bullying 29 Prevalence 29 Antecedents 32 Outcomes 38 Aims of present study 45 Overview of the papers 47 Contribution to the bullying field 60 General methodological reflections 72 Limitations and conclusion 77 References 82 The papers 97 Paper 1 97 Paper 2 105 Paper 3 125 Paper 4 145 Paper 5 169 List of previous doctoral theses 217 "Prevention is better than cure" Desiderius Erasmus (1466 1536)
Ameloblastic carcinoma of the mandible: Report of a case and review

Ameloblastic carcinoma is a rare malignant odontogenic neoplasm that can arise either as a de novo lesion or from pre-existing ameloblastoma. Histopathologically, the tumor retains an ameloblastomatous differentiation pattern but shows cytological features of malignancy. Owing to variable biologic behavior and paucity of long-term follow-up cases, there has been no clear consensus on treatment protocol. The present case of ameloblastic carcinoma arose in the mandible of a 24-year-old male. Surgical treatment involved resection of the mandible along with regional lymph nodes. The patient has been on follow up for the past one year without any recurrence or metastases. An update on ameloblastic carcinoma encompassing the histogenesis, immunohistochemical features and treatment aspects are included.
Differential regulation of cellular tropism and sensitivity to soluble CD4 neutralization by the envelope gp120 of human immunodeficiency virus type 1

Using recombinant and mutant viruses generated between two human immunodeficiency virus type 1 isolates that display differences in cell tropism and sensitivity to soluble CD4 neutralization, we show that these two properties of the virus are regulated by different mechanisms. Whereas there is an association between V3 loop conformation and a particular cellular tropism, soluble CD4 neutralization sensitivity appears to be determined by amino acid differences in the C2 domain of the envelope gp120 that modulate the stability of gp120-gp41 association. Our findings further illustrate the importance of functional interactions among different regions of the envelope gp120 in regulating the biological phenotypes of human immunodeficiency virus and suggest that additional probing of the V3 loop with monoclonal antibodies may identify specific structural features of this loop that determine cell tropism.
An Effective Algorithm for Interest Aware Opportunistic Advertising by Mining Social and Consuming Information

Advertisements and coupon forwarding among mobile devices and social platforms become significant in recent years. However, when users are in the crowded places where the network connection is unstable such as shopping malls, forwarding of advertisements to target users in limited time is challenge. Thus, we propose an interest-aware opportunistic advertising by mining social and consuming information system (ISC) and algorithm. In ISC system, we combine social relationship and consuming information to find out the consumers who have similar interest. ISC algorithm adopts the result of ISC system to reduce the delay of broadcasting advertisement and increase the advertisement effect. We also implement and evaluate the performance of ISC system and algorithm on mobile devices and the ONE simulator. Our experiment results show that ISC algorithm is cost effective and intensively magnify the advertising effeteness with many customers under uncertain network and time-limited environments.
When Curricular Objectives Collide: The Official, Enacted, and Experienced Curricula in Schools During the People’s Republic of Poland (1952–1989)

Abstract From the end of World War II to 1989, a Communist regime dictated political and economic policy in Poland as well as educational curricula. Heavily influenced by Marxist-Leninist ideology, the official state curriculum sought to build support for the Communist system and to promote acquiescence to the Soviet influence in Poland’s internal affairs. Yet, the official curriculum contradicted the perspectives of many Poles who recalled the country’s historically democratic traditions and lamented its 18th-century partitioning by the Russian, Prussian, and Austrian empires, which resulted in the disappearance of Poland from the map of Europe for 123 years (1795–1918). The resulting inconsistency between the official curriculum and the goals and knowledge of Polish teachers evidenced itself as they attempted to subvert the ideological indoctrination called for by the state. This qualitative study sought to better understand how teachers and students mediated the official curriculum in the classroom. Examination of official curricular documents and interviews with Polish teachers and students yields a portrait of schooling in Communist Poland that is far more complex than the label “indoctrination” allows.
Generalized Nested Sampling for Compressing Low Rank Toeplitz Matrices

This paper considers the problem of compressively sampling wide sense stationary random vectors with a low rank Toeplitz correlation matrix. A new structured deterministic sampling method known as the “Generalized Nested Sampling” (GNS) is used to fully exploit the inherent redundancy of low rank Toeplitz matrices. For a Toeplitz matrix of size N ×N with rank r, this sampling scheme uses only O(√r) measurements and allows exact recovery from noiseless measurements. This compression factor is independent of N and is shown to be larger than that achieved by existing random sampling based techniques for compressing Toeplitz matrices. The recovery procedure exploits the connection between Toeplitz matrices and linear prediction.
A backbone extraction method with Local Search for complex weighted networks

The backbone is the natural abstraction of a complex network, which can help people to understand it in a more simplified form. Backbone extraction becomes more challenging as many networks are evolving into large scale and the weight distributions are spanning several orders of magnitude. Traditional filter-based methods tend to include many outliers into the backbone. What is more, they often suffer from the computational inefficiency-the exhaustive search of all nodes or edges is often prohibitively expensive. In this work, we propose a Local Search based Backbone Extraction Heuristic (LS-BEH) to find the backbone in a complex weighted network. First, a strict filtering rule is carefully designed to determine edges to be preserved or discarded. Second, we present a local search model to examine part of edges in an iterative way. Experimental results on two real-life networks demonstrate the advantage of LS-BEH over the classic disparity filter method by either effectiveness or efficiency validity.
Phase models of the Milky Way stellar disc

We present a new iterative method for constructing equilibrium phase models of stellar systems. Importantly, this method can provide phase models with arbitrary mass distributions. The method is based on the following principle. Our task is to generate an equilibrium N-body system with a given mass distribution. For this purpose, we let the system reach equilibrium through its dynamical evolution. During this evolution we hold mass distribution in this system. This principle is realized in our method by means of an iterative procedure. We have used our method to construct a phase model of the disc of our Galaxy. In our method, we use the mass distribution in the Galaxy as input data. Here we used two Galactic density models (suggested by Flynn, Sommer-Larsen and Christensen and by Dehnen and Binney). For a fixed-mass model of the Galaxy we can construct a one-parameter family of equilibrium models of the Galactic disc. We can, however, choose a unique model using local kinematic parameters that are known from Hipparcos data. We show that the phase models constructed using our method are close to equilibrium. The problem of uniqueness for our models is discussed, and we discuss some further applications of our method.
Information Triage with TRIST

TRIST (“The Rapid Information Scanning Tool”) is the information retrieval and triage component for the analytical environment called nSpace. TRIST uses Human Information Interaction (HII) techniques to interact with massive data in order to quickly uncover the relevant, novel and unexpected. TRIST provides query planning, rapid scanning over thousands of search results in one display, and includes multiple linked dimensions for result characterization and correlation. It also forms a cohesive platform for integrating computational linguistic capabilities such as entity extraction, document clustering and other new techniques. Analysts work with TRIST to triage their massive data and to extract information into the Sandbox evidence marshalling environment. Initial experiments with TRIST show that analyst work product quality is increased, in half the time, while reading double the documents.
Experiments with Virtual Reality Instruments

In this paper, we introduce and analyze four gesture-controlled musical instruments. We briefly discuss the test platform designed to allow for rapid experimentation of new interfaces and control mappings. We describe our design experiences and discuss the effects of system features such as latency, resolution and lack of tactile feedback. The instruments use virtual reality hardware and computer vision for user input, and three-dimensional stereo vision as well as simple desktop displays for providing visual feedback. The instrument sounds are synthesized in real-time using physical sound modeling.