Miracle-dz/UniFAR-FTUs huggingface dataset:
Moisture Effects on the Creep of Thermosetting IC Packaging Polymers

We have investigated the behaviour of moisture absorption in various humidity environments at constant temperature of two types of epoxy novolac polymers. In addition, we examined the effects of moisture on the viscoelastic properties. The water absorption is carried out in an adjustable thermal and humidity chamber at different temperature and humidity. The diffusion coefficients at different conditions were obtained through early stage moisture absorption tests. The moisture absorption was revealed to be of the Fickian type of diffusion for both types of samples and to shift the creep compliance to the left of that of a dried sample, as an effect of plasticization. The relationship between logaH and the equilibrium water content is analogically described by the WLF-type equation on the time-temperature superposition. The time-moisture superposition was confirmed to hold at various equilibrium moisture contents at constant temperature. The more moisture in the sample, the more plasticization will happen for the epoxy
Risk prediction of malware victimization based on user behavior

Understanding what types of users and usage are more conducive to malware infections is crucial if we want to establish adequate strategies for dealing and mitigating the effects of computer crime in its various forms. Real-usage data is therefore essential to make better evidence-based decisions that will improve users' security. To this end, we performed a 4-month field study with 50 subjects and collected real-usage data by monitoring possible infections and gathering data on user behavior. In this paper, we present a first attempt at predicting risk of malware victimization based on user behavior. Using neural networks we developed a predictive model that has an accuracy of up to 80% at predicting user's likelihood of being infected.
MoViE: Mobile Social Video Sharing Tool for Learning Applications

Although video sharing in web is used in learning, most video sharing services are not designed to be used as a learning application. In addition, most of these systems were designed to use via computer and with a web browser. Our solution, MoViE (Mobile Video Experience), is designed to be used in learning applications especially with mobile devices. MoViE is a social media service that enables users to create video stories using their mobile phones. In order to support automatic tagging of videos we designed a specific mobile client application. It was used by the staff of Pori Jazz festival organization during the festival in summer 2009 for documenting the festival arrangements. The aim was to use the videos for learning how to do things better next year.
Aspergillus nidulans VeA subcellular localization is dependent on the importin α carrier and on light

The veA gene is a light‐dependent regulator governing development and secondary metabolism in Aspergillus nidulans. We have identified a putative bipartite nuclear localization signal (NLS) motif in the A. nidulans VeA amino acid sequence and demonstrated its functionality when expressed in yeast. Furthermore, migration of VeA to the nucleus was dependent on the importin α. This bipartite NLS is also functional when VeA is expressed in A. nidulans. Interestingly, we found that VeA migration to the nucleus is light‐dependent. While in the dark VeA is located mainly in the nuclei, under light VeA is found abundantly in the cytoplasm. The VeA1 mutant protein (lacking the first 36 amino acids at the N‐terminus) was found predominantly in the cytoplasm independent of illumination. This indicates that the truncated bipartite NLS in VeA1 is not functional and fails to respond to light. These results might explain the lack of the morphological light‐dependent response in strains carrying the veA1 allele. We also evaluated the effect of light on production of the mycotoxin sterigmatocystin in a veA wild‐type and the veA1 mutant strains and found that the highest amount of toxin was produced by the veA+ strain growing in the dark, condition favouring accumulation of VeA in the nucleus.
Ieee Transactions on Parallel and Distributed Systems, Manuscript Id Exploring the Design Tradeoffs for Extreme- Scale High-performance Computing System Software

—Owing to the extreme parallelism and the high component failure rates of tomorrow's exascale, high-performance computing (HPC) system software will need to be scalable, failure-resistant, and adaptive for sustained system operation and full system utilizations. Many of the existing HPC system software are still designed around a centralized server paradigm and hence are susceptible to scaling issues and single points of failure. In this article, we explore the design tradeoffs for scalable system software at extreme scales. We propose a general system software taxonomy by deconstructing common HPC system software into their basic components. The taxonomy helps us reason about system software as follows: (1) it gives us a systematic way to architect scalable system software by decomposing them into their basic components; (2) it allows us to categorize system software based on the features of these components, and finally (3) it suggests the configuration space to consider for design evaluation via simulations or real implementations. Further, we evaluate different design choices of a representative system software, i.e. key-value store, through simulations up to millions of nodes. Finally, we show evaluation results of two distributed system software, Slurm++ (a distributed HPC resource manager) and MATRIX (a distributed task execution framework), both developed based on insights from this work. We envision that the results in this article help to lay the foundations of developing next-generation HPC system software for extreme scales.
On a proposal to integrate web sources using semantic-web technologies

Companies comprise a variety of software applications to carry out their business activities. A recurrent challenge is how to make them interoperate with each other which is usually handcrafted, which is a tedious task that increases integration costs. Enterprise Service Buses range amongst the most popular solution to reduce these costs, and they allow to implement integration solutions by means of one or more layers between software applications and business processes. In this paper, we present a framework for information extraction that allow to wrap information from different web sources and to generate linked data. Furthermore, we survey a number of approaches in the bibliography to build Enterprise Service Buses in the context of semantic-web technologies, which comprise RDF, RDFS, OWL, and SPARQL languages. Finally, we conclude that, thanks to linked data, we may integrate software applications with other applications that generate and/or consume these linked data.
Rejection sensitivity and negative self‐beliefs as mediators of associations between the number of borderline personality disorder features and self‐reported adult attachment

The present two studies examine associations between self-reported adult anxious and avoidant attachment and the number of borderline personality disorder (BPD) features reported by student samples. In addition, they examine the mediating roles of rejection sensitivity (RS) (Studies 1 and 2) and negative self-beliefs (Study 2) on associations, independent of neuroticism. In both studies, higher anxious and avoidant attachment were associated with reporting more features, and RS partially mediated these associations. In Study 2, the self-belief negativity was an additional mediator. These factors partially mediated the impact of anxious attachment and fully mediated that of avoidant attachment. The results are consistent with an attachment-based model of BPD that highlights the role of internal working models of self and others as antecedents of the sensitivity to rejection seen in many with BPD. Copyright © 2009 John Wiley & Sons, Ltd.
Auditory startle response in firefighters before and after trauma exposure.

OBJECTIVE Although previous psychophysiological studies have revealed heightened muscular and autonomic responses in individuals with posttraumatic stress disorder (PTSD), these studies have not permitted inferences about whether the abnormal responses are a vulnerability factor or are acquired following trauma. The present study reports the first prospective psychophysiological investigation, to the authors' knowledge, of posttraumatic stress responses by prospectively evaluating the auditory startle response in firefighters before and after trauma exposure. METHOD Orbicularis oculi (eye blink) electromyograms and skin conductance responses to 15 100-dB acoustic startle stimuli were assessed in 84 trainee firefighters before trauma exposure. After commencement of active duty, 35 firefighters were reassessed within 4 weeks of exposure to a traumatic event, and 36 firefighters were reassessed as a comparison group that was not exposed to trauma. RESULTS In the trauma-exposed group, pretrauma physiological activity was predictive of posttrauma acoustic startle responses. Pretrauma skin conductance response to startle was also predictive of posttraumatic stress severity. CONCLUSIONS These results provide initial support for elevated startle response being a vulnerability factor for posttraumatic stress responses.
The Thermal Resistance of Mycobacterium Paratuberculosis in Raw Milk under Conditions Simulating Pasteurization

Mycobacterium paratuberculosis is the etiologic agent of ruminant paratuberculosis, commonly referred to as Johne’s disease. The disease is characterized by a chronic granulomatous ileocolitis that ultimately terminates in diarrhea, weight loss, debilitation, and death. 6 The disease is transmitted among ruminants predominately through feces when animals are at a young age. In the United States, the national disease prevalence has been suggested to be 2.6% of the dairy and 0.8% of the beef cattle, 14 although regional surveys suggest local prevalences of 11-17%. 1,5 Cattle infected with M. paratuberculosis shed organisms in feces often at concentrations approaching 10 8 colony
MADClassifier: Content-Based Continuous Classification of Mixed Audio Data

Content-based classiﬁcation of audio data is an important problem for the overall analysis of audio-visual streams. Though the classiﬁ-cation of audio into pure classes, such as music, speech, environmental sound and silence, is well studied, classiﬁcation of mixed audio data, such as clips having speech with music, is still considered a diﬃcult problem. We present MADClassiﬁer (Mixed Audio Data Classiﬁer), a system for the classiﬁcation of audio onto a continuous scale. We introduce the notion of continuity of audio features , which makes the feature vary with the type of audio in a manner that is representative of its composition. We use these features to build two versions of our classiﬁer, one is based on the simple k -nearest neighbor classi-ﬁer and the other is a neural network classiﬁer. Unlike the previous research that has gone into mixed audio classiﬁcation, we do not generate classiﬁcation-time thresholds empirically. This ensures that the classiﬁer can be speciﬁcally trained for a focussed domain where it is intended to be used. The performance of the proposed system is validated against representative real and synthetic data.
The Case of "Sonia": Psychotherapy With a Complex, Difficult Patient Grounded in the Integrated Psychotherapy Model of Hector Ferndez-A

Sonia was part of a clinical, naturalistic, and longitudinal research project I developed that began in 1998, with patients who consulted at the well-known AIGLE center in Buenos Aires, Argentina. In the project I selected patients with severe and complex psychological symptoms for whom previous treatments were reported by the patients to have been ineffective. Â The goal of the project was to employ Dr. Hector Fernandez-A
Weighted Attribute Fusion Model for Face Recognition

Recognizing a face based on its attributes is an easy task for a human to perform as it is a cognitive process. In recent years, Face Recognition is achieved with different kinds of facial features which were used separately or in a combined manner. Currently, Feature fusion methods and parallel methods are the facial features used and performed by integrating multiple feature sets at different levels. However, this integration and the combinational methods do not guarantee better result. Hence to achieve better results, the feature fusion model with multiple weighted facial attribute set is selected. For this feature model, face images from predefined data set has been taken from Olivetti Research Laboratory (ORL) and applied on different methods like Principal Component Analysis (PCA) based Eigen feature extraction technique, Discrete Cosine Transformation (DCT) based feature extraction technique, Histogram Based Feature Extraction technique and Simple Intensity based features. The extracted feature set obtained from these methods were compared and tested for accuracy. In this work we have developed a model which will use the above set of feature extraction techniques with different levels of weights to attain better accuracy. The results show that the selection of optimum weight for a particular feature will lead to improvement in recognition rate.
Structure-Composition-Property Relationships in Polymeric Amorphous Calcium Phosphate-Based Dental Composites

Our studies of amorphous calcium phosphate (ACP)-based materials over the last decade have yielded bioactive polymeric composites capable of protecting teeth from demineralization or even regenerating lost tooth mineral. The anti-cariogenic/re-mineralizing potential of these ACP composites originates from their propensity, when exposed to the oral environment, to release in a sustained manner sufficient levels of mineral-forming calcium and phosphate ions to promote formation of stable apatitic tooth mineral. However, the less than optimal ACP filler/resin matrix cohesion, excessive polymerization shrinkage and water sorption of these experimental materials can adversely affect their physicochemical and mechanical properties, and, ultimately, limit their lifespan. This study demonstrates the effects of chemical structure and composition of the methacrylate monomers used to form the matrix phase of composites on degree of vinyl conversion (DVC) and water sorption of both copolymers and composites and the release of mineral ions from the composites. Modification of ACP surface via introducing cations and/or polymers ab initio during filler synthesis failed to yield mechanically improved composites. However, moderate improvement in composite’s mechanical stability without compromising its remineralization potential was achieved by silanization and/or milling of ACP filler. Using ethoxylated bisphenol A dimethacrylate or urethane dimethacrylate as base monomers and adding moderate amounts of hydrophilic 2-hydroxyethyl methacrylate or its isomer ethyl-α-hydroxymethacrylate appears to be a promising route to maximize the remineralizing ability of the filler while maintaining high DVC. Exploration of the structure/composition/property relationships of ACP fillers and polymer matrices is complex but essential for achieving a better understanding of the fundamental mechanisms that govern dissolution/re-precipitation of bioactive ACP fillers, and, ultimately, the suitability of the composites for clinical evaluation.
Clinical features, genetics and potential therapeutic approaches for Birt–Hogg–Dubé syndrome

Introduction: Birt–Hogg–Dubé (BHD) syndrome is an autosomal dominant disorder that predisposes to fibrofolliculomas, pulmonary cysts, spontaneous pneumothorax and renal neoplasia. BHD is characterized by germline mutations in the tumor suppressor gene folliculin (FLCN) gene. Inactivation of the remaining FLCN allele in kidney cells drives tumorigenesis. Novel FLCN-interacting proteins, FNIP1 and FNIP2, were identified. Studies with FLCN-deficient in vitro and in vivo models support a role for FLCN in modulating AKT-mechanistic target of rapamycin (mTOR) signaling. Emerging evidence suggests that FLCN may interact in a number of pathways/processes. Identification of FLCN’s major functional roles will provide the basis for developing targeted therapies for BHD patients. Areas covered: This review covers BHD diagnostic criteria, clinical manifestations and genetics, as well as molecular consequences of FLCN inactivation. Recommended surveillance practices, patient management and potential therapeutic options are discussed. Expert opinion: In the decade since FLCN was identified as causative for BHD, we have gained a greater understanding of the clinical spectrum and genetics of this cancer syndrome. Recent studies have identified interactions between FLCN and a variety of signaling pathways and cellular processes, notably AKT-mTOR. Currently, surgical intervention is the only available therapy for BHD-associated renal tumors. Effective therapies will need to target primary pathways/processes deregulated in FLCN-deficient renal tumors and fibrofolliculomas.
Supporting Online Material

Timing Errors Systematic and correctable timing errors were introduced by software bugs in various versions of the Quanterra data logger. Such timing errors remained undocumented at various networks (e.g., Geofon) but were generally fixed by software upgrades before the turn of the millennium. This problem was significant for the LH channels, and all our data have been appropriately corrected. Many stations also have periods of erratic timing which are likely due to loss of an external timing standard. Such data have been removed from further analysis.
Exploring the effect of training on muscle synergies and kinematics of a task

In this preliminary study we aim to extract muscle synergies in spiral tracking task when performed with the non-dominant hand, and investigate the effect of training on muscle synergies. Three young subjects who were university students (all Females, 21±1 years old, right-handed) volunteered to participate in this study. The subjects were healthy with no history of neuromuscular disease. Each subject performed one of the three tasks chosen randomly in five sessions. The tasks were to track either a circle in a limited time, or a circular spiral or a square spiral. During the task, the trajectory of the pen and EMG signals from eight muscles of the non-dominant hand were simultaneously recorded. Afterwards, the EMG signals were factorized using the Non-Negative Matrix Factorization (NMF) method and synergy modules were extracted. While extracting muscle synergies using NMF, we used the Variance Accounted For (VAF) criteria in order to determine the optimized number of modules. Three synergy modules were determined as the optimum number for the primary EMG signals reconstruction. The P index was introduced to compare the changes in muscle synergies during the training. This index stands for the correlation between the muscle synergies of the trials of each session with the average of muscle synergies in the same session. The results show that mean square error between the desired and the actual trajectories, regardless of the type of training, has decreased for all three subjects. This indicates that the subjects have learned the task during the training sessions. This was incorporated as an index of participants' skill. Moreover, changes in the P index correspond noticeably with subjects tracking skill. In addition, this index can be adjusted during training and there have been noticeable changes in its value between the sessions. The results convey that central nervous system (CNS) adjusts muscle synergies defining given motor behaviors to the desired synergy space, which is the average of synergies, during the training.
Combining Agent-Based Models with Stochastic Differential Equations for Gene Regulatory Networks

Mathematical models in systems biology can use quantitative techniques to study the integrated behaviors of biological systems in macro level. Agent-based modeling provides a qualitative framework, focusing on how each individual molecule behaves in micro level. We are motivated to combine their features together to describe the gene regulatory networks, in particular the emergence of macro phenomena from micro interactions. An agent-based model will be well defined as general as possible, including of many agents of various molecular species interacting in it. The mathematical premises, which are grounded in the micro behaviors of agents, can derive the chemical master equations and the stochastic differential equations for modeling the integrated behaviors of systems in macro level. Combing agent-based models with stochastic differential equations affords a more complete perspective on gent regulatory networks. In addition, the sources and magnitudes of deterministic dynamics and random noises are explicitly characterized.
Disk cache—miss ratio analysis and design considerations

The current trend of computer system technology is toward CPUs with rapidly increasing processing power and toward disk drives of rapidly increasing density, but with disk performance increasing very slowly if at all. The implication of these trends is that at some point the processing power of computer systems will be limited by the throughput of the input/output (I/O) system. A solution to this problem, which is described and evaluated in this paper, is disk cache. The idea is to buffer recently used portions of the disk address space in electronic storage. Empirically, it is shown that a large (e.g., 80-90 percent) fraction of all I/O requests are captured by a cache of an 8-Mbyte order-of-magnitude size for our workload sample. This paper considers a number of design parameters for such a cache (called cache disk or disk cache), including those that can be examined experimentally (cache location, cache size, migration algorithms, block sizes, etc.) and others (access time, bandwidth, multipathing, technology, consistency, error recovery, etc.) for which we have no relevant data or experiments. Consideration is given to both caches located in the I/O system, as with the storage controller, and those located in the CPU main memory. Experimental results are based on extensive trace-driven simulations using traces taken from three large IBM or IBM-compatible mainframe data processing installations. We find that disk cache is a powerful means of extending the performance limits of high-end computer systems.
The marketing/entrepreneurship interface: a report on the “Charleston Summit”

Purpose – A group of researchers met in Charleston, South Carolina, USA to discuss the past and future of the marketing/entrepreneurship interface. The purpose of this paper is to summarize main discussions from the three‐day summit.Design/methodology/approach – Roughly 16 hours of presentations and discussions were digitally recorded. The lead author reviewed the recordings making copious notes, which were organized into 17 themes for further analysis. Future research directions based on discussion around the most poignant themes are reported.Findings – The paper presents nine categories of discussions around the interface including: the four research perspectives; “the future is in the past;” marketing; entrepreneurship; small business marketing; entrepreneurial marketing; practical significance; context of research; and modeling.Research limitations/implications – Throughout the nine sections, this paper highlights considerations for future research. It suggests that scholars conducting research at the.