Miracle-dz/UniFAR-FTUs huggingface dataset:
Character and Dealing With Laughter: The Relation of Self- and Peer-Reported Strengths of Character With Gelotophobia, Gelotophilia, and Katagelasticism

ABSTRACT We hypothesized that gelotophobia (the fear of being laughed at), gelotophilia (the joy of being laughed at), and katagelasticism (the joy of laughing at others) relate differently to character strengths. In Study 1 (N = 5,134), self-assessed gelotophobia was primarily negatively related to strengths (especially to lower hope, zest, and love), whereas only modesty yielded positive relations. Gelotophilia demonstrated mainly positive relations with humor, zest, and social intelligence. Katagelasticism existed widely unrelated from character strengths with humor demonstrating the comparatively highest coefficients. Study 2 consisted of N = 249 participants who provided self- and peer-ratings of strengths and self-reports on the three dispositions. The results converged well with those from Study 1. When comparing self- and peer-reports, those higher in gelotophobia under-estimated and those higher in gelotophilia over-estimated their virtuousness, whereas those higher in katagelasticism seemed to have a realistic appraisal of their strengths. Peer-rated (low) hope and modesty contributed to the prediction of gelotophobia beyond self-reports. The same was true for low modesty, creativity, low bravery, and authenticity for gelotophilia and for low love of learning regarding katagelasticism. Results suggest that there is a stable relation between the way people deal with ridicule and laughing and their virtuousness.
Automatic laser and camera extrinsic calibration for data fusion using road plane

Driving Assistance Systems and Autonomous Driving applications require trustable detections. These demanding requirements need sensor fusion to provide information reliable enough. But data fusion presents the problem of data alignment in both rotation and translation. Laser scanner and video cameras are widely used in sensor fusion. Laser provides operation in darkness, long range detection and accurate measurement but lacks the means for reliable classification due to the limited information provided. The camera provides classification thanks to the amount of data provided but lacks accuracy for measurements and is sensitive to illumination conditions. Data alignment processes require supervised and accurate measurements, that should be performed by experts, or require specific patterns or shapes. This paper presents an algorithm for inter-calibration between the two sensors of our system, requiring only a flat surface for pitch and roll calibration and an obstacle visible for both sensors for determining the yaw. The advantage of this system is that it does not need any particular shape to be located in front of the vehicle apart from a flat surface, which is usually the road. This way, calibration can be achieved at virtually any time without human intervention.
Auto-FCD: efficiently parallelizing CFD applications on clusters

Computational fluid dynamics (CFD) applications are highly demanding for parallel computing. Many such applications have been shifted from expensive MPP boxes to cost-effective clusters. Auto-CFD is a pre-compiler which transforms Fortran CFD sequential programs to efficient message-passing parallel programs running on clusters. Our work has the following three unique contributions. First, this pre-compiler is highly automatic, requiring a minimum number of user directives for parallelization. Second, we have applied a dependency analysis technique for the CFD applications, called analysis after partitioning. We propose a mirror-image decomposition technique to parallelize self-dependent field loops that are hard to parallelize by existing methods. Finally, traditional optimizations of communication focus on eliminating redundant synchronizations. We have developed an optimization scheme which combines all the non-redundant synchronizations in CFD programs to further reduce the communication overhead. The auto-CFD has been implemented on clusters and has been successfully used for automatically parallelizing structured CFD application programs. Our experiments show its effectiveness and scalability for parallelizing large CFD applications.
Using Swarming to Build Complex Dashboards

This paper reports on a project that took place in a large corporation to build a Customer Profile dashboard to provide a holistic view of its customers. Prior to the project, no such view existed and customer data was distributed across multiple sources and very few people had access to all required sources. In the absence of any co-located team with the required skillsets, the action researcher led a swarming approach to building the dashboard. She found no evidence in the literature of swarming being used for the creation of such digital artefacts. Based on her experience with this project, in this paper she offers insights as to how she undertook the project, the lessons learned, and the benefits (as well as difficulties) in undertaking this project. She found swarming to be a useful mechanism for resolving complex problems. It attacks the problems from diverse and expert perspectives offered by highly motivated team members. In this project, swarming produced a high quality digital solution that stakeholders felt was of superior quality to what otherwise would have resulted.
State of the Art in Ray Tracing Animated Scenes

Ray tracing has long been a method of choice for off‐line rendering, but traditionally was too slow for interactive use. With faster hardware and algorithmic improvements this has recently changed, and real‐time ray tracing is finally within reach. However, real‐time capability also opens up new problems that do not exist in an off‐line environment. In particular real‐time ray tracing offers the opportunity to interactively ray trace moving/animated scene content.
Adherence: Adherence Analysis Using Visual Analog Scale Versus Claims-Based Estimation

Background: Although visual analog scales (VAS) have been used frequently in outcomes research, there is little evidence regarding the validity of this scale for measuring medication adherence. Objective: To determine whether a VAS self-report measure of medication adherence is concordant with claims-based measurement of adherence. Methods: A mail survey was conducted in 2005 of persons with diabetes. Prescription claims were obtained for the 1985 survey respondents who used oral diabetes medications and lipid-modifying drugs. The self-reported measure of adherence was a VAS scored 0–100%, and the claims-based measure was the continuous measure of medication gaps (CMG), reverse-coded to yield a score of 0–100%. Dichotomous measures (highly adherent vs poorly adherent) were also created from the VAS and CMG using a cutoff value of 80%. For diabetes and lipid-modifying drugs, the scores on the VAS and CMG (continuous versions) were compared using a Pearson correlation coefficient, while the concordance of the dichotomous versions of the measures was compared using the kappa coefficient. Results: The mean ± SD for the VAS and CMG for oral diabetes drugs were 95.9 ± 9.2 and 84.1 ± 19.2, respectively, and for lipid-modifying drugs, 95.2 ± 11.2 and 85.3 ± 20.0, respectively. The VAS-diabetes and CMG-diabetes scales were moderately correlated (r = 0.22), as were the VAS-lipid and CMG-lipid (r = 0.26). The majority (69.0%) of subjects had consistent adherence classifications across the dichotomous versions of VAS-diabetes and CMG-diabetes (kappa = 0.13), while 73.1% of subjects had consistent classifications for the dichotomous VAS-lipid and CMG-lipid (kappa = 0.19). Conclusions: The VAS self-reports of adherence to medications had moderate concordance with estimates derived from drug benefit claims. Although the majority of subjects were consistently classified by the VAS and claims, the concordance may not be sufficient for direct comparisons of studies using VAS data with studies using claims-based estimates
Neurotrophin-4 Is More Potent than Brain-Derived Neurotrophic Factor in Promoting, Attracting and Suppressing Geniculate Ganglion Neurite Outgrowth

The geniculate ganglion, which provides innervation to taste buds in the anterior tongue and palate, is unique among sensory ganglia in that its neurons depend on both neurotrophin-4 (NT4) and brain-derived neurotrophic factor (BDNF) for survival. Whereas BDNF is additionally implicated in taste axon guidance at targeting stages, much less is known about the guidance role of NT4 during targeting, or about either neurotrophin during initial pathfinding. NT4 and BDNF have distinct expression patterns in vivo, raising the possibility of distinct roles. We characterized the influence of NT4 and BDNF on geniculate neurites in collagen I gels at early embryonic through postnatal stages. During early pathfinding to the tongue (embryonic days 12–13; E12–13), NT4 and BDNF promote significantly longer outgrowth than during intralingual targeting (E15–18). NT4 is more potent than BDNF at stimulating neurite outgrowth and both factors exhibit concentration optima, i.e. intermediate concentrations (0.25 ng/ml NT4 or 25 ng/ml BDNF) promote maximal neurite extension and high concentrations (10 ng/ml NT4 or 200 ng/ml BDNF) suppress it. Only partial suppression was seen at E12 (when axons first emerge from the ganglion in vivo) and postnatally, but nearly complete suppression occurred from E13 to E18. We show that cell death is not responsible for suppression. Although blocking the p75 receptor reduces outgrowth at the optimum concentrations of NT4 and BDNF, it did not reduce suppression of outgrowth. We also report that NT4, like BDNF, can act as a chemoattractant for geniculate neurites, and that the tropic influence is strongest during intralingual targeting (E15–18). NT4 does not appear to act as an attractant in vivo, but it may prevent premature invasion of the epithelium by suppressing axon growth.
Invasive Group A Streptococcal Infection and Vaccine Implications, Auckland, New Zealand

We aimed to assess the effect of invasive group A streptococcal (GAS) infection and the potential effects of a multivalent GAS vaccine in New Zealand. During January 2005–December 2006, we conducted prospective population-based laboratory surveillance of Auckland residents admitted to all public hospitals with isolation of GAS from normally sterile sites. Using emm typing, we identified 225 persons with confirmed invasive GAS infection (median 53 years of age; range 0–97 years). Overall incidence was 8.1 cases per 100,00 persons per year (20.4/100,000/year for Maori and Pacific Islanders; 24.4/100,000/year for persons >65 years of age; 33/100,000/year for infants <1 year of age). Nearly half (49%) of all cases occurred in Auckland’s lowest socioeconomic quintile. Twenty-two persons died, for an overall case-fatality rate of 10% (63% for toxic shock syndrome). Seventy-four percent of patients who died had an underlying condition. To the population in our study, the proposed 26-valent vaccine would provide limited benefit.
Evaluation of PD 404,182 as an Anti-HIV and Anti-Herpes Simplex Virus Microbicide

ABSTRACT PD 404,182 (PD) is a synthetic compound that was found to compromise HIV integrity via interaction with a nonenvelope protein viral structural component (A. M. Chamoun et al., Antimicrob. Agents Chemother. 56:672–681, 2012). The present study evaluates the potential of PD as an anti-HIV microbicide and establishes PD's virucidal activity toward another pathogen, herpes simplex virus (HSV). We show that the anti-HIV-1 50% inhibitory concentration (IC50) of PD, when diluted in seminal plasma, is ∼1 μM, similar to the IC50 determined in cell culture growth medium, and that PD retains full anti-HIV-1 activity after incubation in cervical fluid at 37°C for at least 24 h. In addition, PD is nontoxic toward vaginal commensal Lactobacillus species (50% cytotoxic concentration [CC50], >300 μM), freshly activated human peripheral blood mononuclear cells (CC50, ∼200 μM), and primary CD4+ T cells, macrophages, and dendritic cells (CC50, >300 μM). PD also exhibited high stability in pH-adjusted Dulbecco's phosphate-buffered saline with little to no activity loss after 8 weeks at pH 4 and 42°C, indicating suitability for formulation for transportation and storage in developing countries. Finally, for the first time, we show that PD inactivates herpes simplex virus 1 (HSV-1) and HSV-2 at submicromolar concentrations. Due to the prevalence of HSV infection, the ability of PD to inactivate HSV may provide an additional incentive for use as a microbicide. The ability of PD to inactivate both HIV-1 and HSV, combined with its low toxicity and high stability, warrants additional studies for the evaluation of PD's microbicidal candidacy in animals and humans.
Board level reliability of novel Fan-in package on package(PoP)

The recent requirements for achieving higher memory density in a smaller package size have adopted 3D packaging of thin dies in a single package. However, increasing the number of dies in 3D stacking is limited by increasing the cost due to decrease die stacking yield. The known good package stacking can be solution to overcome such yield loss. In this study, a novel Fan-in PoP solution proposed, stacking two package which have stacked multiple dies each and interconnecting the package through blind EMC via without changing package size. The solder ball of top package fills up the blind EMC via during the reflow process. In order to evaluate the board level reliability, Fan-in PoP(QDP-DSP : Quad Die Package - Dual Stack Package) was mounted to a FR-4 board. Fan-in PoP with various solder compositions wes explored regarding the failure mode, crack propagation and life time under the drop test and thermal cycling test compared to those of ODP (Octa Die Package). The Fan-in PoP showed superior drop performance compared to ODP due to the package flexibility. On the other hand, thennal cycling test results showed a little increased life time compared to ODP. The solder joint formation on the silicon chip through blind EMC via causes the serious thermal stress concentration due to the silicon stiffness.
Optimal Test Set Selection for Fault Diagnosis Improvement

This paper proposes an approach for improving the diagnostic capability of a test-set used in the initial phases of the diagnosis process, when the system is quickly tested with a set of vectors aimed at making the fault observable with the smallest number of vectors. The selection policy identifies the optimal test set with respect to both minimal cardinality and maximum coverage, exploiting an ILP problem formulation. Approach and rationale are supported by analytical methods and criteria, and validated by a set of experimental results.
Multi-Threading ( XMT ) Bridging Models for InstructionParallelism ( extended summary and working document )

The paper envisions an extension to a standard instruction set which eeciently implements PRAM algorithms using explicit multi-threaded instruction-level parallelism (ILP); that is, Explicit Multi-Threading (XMT), a ne-grained computational paradigm covering the spectrum from algorithms through architecture to implementation is introduced; new elements are added where needed. The more detailed presentation is by way of a bridging model. Among other things, a bridging model provides a design space for algorithm designers and programmers, as well as a design space for computer architects. It is convenient to describe our wider vision regarding \parallel-computing-on-a-chip" as a two-stage development and therefore two bridging models are presented: Spawn-based multi-threading (Spawn-MT) and Elastic multi-threading (EMT). The case for Spawn-MT (or, alternatively, EMT) as a bridging model relies on the following evidence. (1) Spawn-MT comprises an \instruction set level", whose hardware implementability is justiied. (2) Parallel and serial algorithms and programs are presented at both the \algorithm level" of Spawn-MT and its instruction set level. (3) Careful comparison of the new kind of code with standard serial code, for several (\irregular") test applications, illustrates a large potential advantage for Spawn-MT (and EMT); this advantage holds even for rather small inputs. One of the applications (searching DAGs) is general enough to be which is reeected in every computation but does not explicitly appear in standard parallel benchmarks. (4) Overall hardware realization is likely to be simpler than for standard approaches as more parallelism will be mandated by code, alleviating the need for the hardware to nd parallelism in the face of control dependences and ambiguity of data references. (5) A certain (\independence of order") parallel algorithms semantics, the bridging model and support by several hardware implementation gadgets, put together, facilitate independent progress of concurrent threads; each thread progresses at its own pace from initiation to termination without the need for suspending concurrent threads. A scheduling lemma attests to the eeectiveness of this overall design.
Establishment of paclitaxel-resistant breast cancer cell line and nude mice models, and underlying multidrug resistance mechanisms in vitro and in vivo.

BACKGROUND Breast cancer is a common malignant tumor which affects health of women and multidrug resistance (MDR) is one of the main factors leading to failure of chemotherapy. This study was conducted to establish paclitaxel-resistant breast cancer cell line and nude mice models to explore underlying mechanisms of MDR. METHODS The breast cancer drug-sensitive cell line MCF-7 (MCF-7/S) was exposed in stepwise escalating paclitaxel (TAX) to induce a resistant cell line MCF-7/TAX. Cell sensitivity to drugs and growth curves were measured by MTT assay. Changes of cell morphology and ultrastructure were examined by optical and electron microscopy. The cell cycle distribution was determined by flow cytometry. Furthermore, expression of proteins related to breast cancer occurrence and MDR was tested by immunocytochemistry. In Vivo, nude mice were injected with MCF-7/S and MCF-7/TAX cells and weights and tumor sizes were observed after paclitaxel treatment. In addition, proteins involved breast cancer and MDR were detected by immunohistochemistry. RESULTS Compared to MCF-7/S, MCF-7/TAX cells had a higher resistance to paclitaxel, cross-resistance and prolonged doubling time. Moreover, MCF-7/TAX showed obvious alterations of ultrastructure. Estrogen receptor (ER) expression was low in drug resistant cells and tumors while expression of human epidermal growth factor receptor 2 (HER2) and Ki-67 was up-regulated. P-glycoprotein (P-gp), lung resistance-related protein (LRP) and glutathione-S-transferase-π (GST-π) involved in the MDR phenotype of resistant cells and tumors were all overexpressed. CONCLUSION The underlying MDR mechanism of breast cancer may involve increased expression of P-gp, LRP and GST-π.
Dialogware - the "Software" for Conversational Agents: a Modular FrameNet-based Approach

Conversational agents are in every pocket where a smartphone is. It is the right time to foster a new generation of programmers to give a better personality to these conversational agents. In this paper we propose the dialogware as a novel form of software that should be produced by communication experts and artists: the dialogware programmers. We then introduce a modular FrameNet-based approach to dialogware programming along with a collaborative ecosystem for these new generation of programmers.
Dielectric Behavior of Alginate-Based Hydrogel Containing Neomycin-Loaded Lipid Nanovesicles under Influence of Electrical Potentials

Dielectric characterization has been applied as a convenient tool for evaluation of transport and polarization mechanisms in soft materials. In this work, we have explored the study of charge transport mechanisms in alginate hydrogel containing neomycin-loaded liposomes. For comparison, drug release kinetic was evaluated by using UV-Vis spectrophotometry and electrical impedance spectroscopy (EIS) at different external direct current (DC) polarization (100 mV and 1 V). The charge transfer resistance (Rct) was proportional to DC electrical stimulation and inversely to the amount of released neomycin. Optical and electrical measurements confirmed the dependence of neomycin release under influence of electrical potentials. The kinetic profile of these systems was described by zero-order model. In addition, the Korsmeyer-Peppas model also suggested a diffusion mechanism based on super case II transport (non-Fickian). These results encouraged the use of EIS as a “dark" spectroscopy technique, since EIS is effective for studies of release kinetics controlled by DC external electrical excitation.
GBC: Gradient boosting consensus model for heterogeneous data †

With the rapid development of database technologies, multiple data sources may be available for a given learning task (e.g. collaborative filtering). However, the data sources may contain different types of features. For example, users' profiles can be used to build recommendation systems. In addition, a model can also use users' historical behaviors and social networks to infer users' interests on related products. We argue that it is desirable to collectively use any available multiple heterogeneous data sources in order to build effective learning models. We call this framework heterogeneous learning. In our proposed setting, data sources can include (i) nonoverlapping features, (ii) nonoverlapping instances, and (iii) multiple networks (i.e. graphs) that connect instances. In this paper, we propose a general optimization framework for heterogeneous learning, and devise a corresponding learning model from gradient boosting. The idea is to minimize the empirical loss with two constraints: (1) there should be consensus among the predictions of overlapping instances (if any) from different data sources; (2) connected instances in graph datasets may have similar predictions. The objective function is solved by stochastic gradient boosting trees. Furthermore, a weighting strategy is designed to emphasize informative data sources, and deemphasize the noisy ones. We formally prove that the proposed strategy leads to a tighter error bound. This approach consistently outperforms a standard concatenation of data sources on movie rating prediction, number recognition, and terrorist attack detection tasks. Furthermore, the approach is evaluated on AT&T's distributed database with over 500 000 instances, 91 different data sources, and over 45 000 000 joined features. We observe that the proposed model can improve out‐of‐sample error rate substantially.
Indirect implementations of sliding-mode control law in buck-type converters

Some practical methods for implementing the sliding-mode control law to control the buck-type converters are introduced. The control equations are derived from the basic sliding-mode control law to accommodate the conventional fixed-frequency PWM control method. As a result, the overall feedback control systems can be expressed under a form similar to state-feedback control where the voltage and current of the output capacitor are sensed and controlled. With the switching frequency maintained to be constant (not varied over a wide range as in the original law), these control techniques are insensitive to power circuit parameter changes. The output voltage errors in these implementations are proven to converge to zero exponentially similarly to the cases implementing the basic sliding-mode control equation. These control implementations can be applied to both constant output voltage regulation (as in popular DC-DC converters) and to time-varying output voltage tracking (as in switching power amplifiers).