Miracle-dz/UniFAR-FTUs huggingface dataset:
The Evolution of Basic Assumptions in Twenty-first Century Organizations

Systems psychodynamics provides an invaluable perspective for understanding large scale social, economic and cultural change. This paper considers the evolution of organizational life since World War II from the perspective of overriding Basic Assumptions, in Bion's terms. Finally, the challenges facing organizations in the twenty-first century are discussed, especially the search for hope that is both mature and located firmly within the depressive position.
Action schools! BC--Healthy Eating: effects of a whole-school model to modifying eating behaviours of elementary school children.

OBJECTIVES The rate of obesity and associated risk factors in Canadian youth is increasing at an alarming rate. Nutrition plays an important role in weight maintenance. This study reports the effectiveness of Action Schools! BC---Healthy Eating, a school-based fruit and vegetable (FV) intervention, in effecting change in: 1) students' intake of FV, 2) students' knowledge, attitudes and perceptions regarding FV, and 3) students' willingness to try new FV. METHODS Five schools that represented geographic, socio-economic and size variation were recruited as Action Schools! BC--Healthy Eating intervention schools. A second set of five schools were selected as matched healthy eating usual practice schools. Student outcomes were measured at baseline and at 12-week follow-up using self-report questionnaires. Classroom logs and progress reports were used to assess implementation dose and fidelity. The intervention included school-wide activities based on individualized Action Plans addressing goals across six Action Zones. RESULTS Significant differences were found between conditions over time while controlling for baseline levels. Fruit servings, FV servings, FV variety, and percent of FV tried from a fixed list increased in intervention schools. Teachers implemented a mean of 64% of requested classroom dose, and school Action Teams implemented activities across 80% of the whole-school model. DISCUSSION A whole-school framework can impact FV intake, but results were modest due to implementation issues. Further implementation and evaluation are necessary to fully understand the effectiveness of this initiative.
FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters

flexmix provides infrastructure for flexible fitting of finite mixture models in R using the expectation-maximization (EM) algorithm or one of its variants. The functionality of the package was enhanced. Now concomitant variable models as well as varying and constant parameters for the component specific generalized linear regression models can be fitted. The application of the package is demonstrated on several examples, the implementation described and examples given to illustrate how new drivers for the component specific models and the concomitant variable models can be defined.
Work-based Learning in the Humanities: a welcome stranger?

Work-based learning is rare in Humanities subjects in Higher Education, but the increasing pressure to focus on employability from both the government and students means that there are increasing incentives to embed it into Humanities offerings. The literature on work-based learning describes both the enormous potential it has to contribute to learning but also some potential dangers and pitfalls. This article explores the role of work-based learning in the Humanities through a detailed case study of the innovative Work Based Project at Sheffield Hallam University. The case study describes how the module at Sheffield Hallam negotiates potential problems and emerges as a successful module with outstanding feedback from students. This is linked to a wider discussion of the opportunities, dangers, and practicalities of embedding work based learning in Humanities subjects.
Affective characters of music and listeners' emotional responses to music: Comparison between musically trained and untrained listeners

Experiments that focus on the difference in emotion perception and emotion induction when listening to music are reported. One half of musically trained and untrained listeners were asked to choose an emotional category which fitted the phrase as emotional character, while the other half chose the emotion aroused by the phrase, from twelve categories of emotion. The results showed that, while it was hardly possible to discriminate between what characters those phrases had and what emotions they aroused in each participant group, comparison between musicians and non-musicians revealed some distinct differences in their affective responses to music. It suggests that the extent of cognition of musical structures might be reflected in listeners’ music emotions.
The Global Health Burden Of Rape

Women's rights to be free from male violence are now recognized by the United Nations as fundamental human rights. Two parallel transformations in the understanding of rape have been central to the international effort to achieve this declaration. The first is increased recognition of the extent to which rape typically involves intimates. The second is the shift from regarding rape as a criminal justice matter towards an appreciation of its implications for women's health. The focus of this paper is the health burden of rape, which is addressed from the global perspective and includes discussion of its prevalence and psychological, sociocultural, somatic, and reproductive health consequences. Quantitative efforts to capture the relative economic impact of rape compared to other threats to women's health are also discussed. The paper concludes with an agenda for future research on rape that could enrich activists' efforts on behalf of women's health and development.
Co-Design Method and Wafer-Level Packaging Technique of Thin-Film Flexible Antenna and Silicon CMOS Rectifier Chips for Wireless-Powered Neural Interface Systems

In this paper, a co-design method and a wafer-level packaging technique of a flexible antenna and a CMOS rectifier chip for use in a small-sized implantable system on the brain surface are proposed. The proposed co-design method optimizes the system architecture, and can help avoid the use of external matching components, resulting in the realization of a small-size system. In addition, the technique employed to assemble a silicon large-scale integration (LSI) chip on the very thin parylene film (5 μm) enables the integration of the rectifier circuits and the flexible antenna (rectenna). In the demonstration of wireless power transmission (WPT), the fabricated flexible rectenna achieved a maximum efficiency of 0.497% with a distance of 3 cm between antennas. In addition, WPT with radio waves allows a misalignment of 185% against antenna size, implying that the misalignment has a less effect on the WPT characteristics compared with electromagnetic induction.
Training Paraprofessionals to Facilitate Social Interactions Between Children With Autism and Their Typically Developing Peers

To support children with autism in inclusive classrooms, schools are increasingly utilizing paraprofessionals. However, research suggests that paraprofessionals often lack sufficient training and may inadvertently hinder the social interactions between children with disabilities and their peers. This study used a multiple baseline across participants design to empirically investigate whether paraprofessionals could learn to implement social facilitation procedures based on Pivotal Response Treatment. Results indicated that the paraprofessionals learned to utilize the social facilitation procedures with fidelity and generalized the techniques to untrained activities. Furthermore, once the paraprofessionals met the fidelity criteria, decreases in hovering and uninvolved behavior and increases in social facilitation and monitoring were observed. Likewise, the reciprocal social behavior of the children with autism increased rapidly.
Proving and explaining the unfeasibility of Message Sequence Charts for hybrid systems

Networks of Hybrid Automata are a clean modelling framework for complex systems with discrete and continuous dynamics. Message Sequence Charts (MSCs) are a consolidated language to describe desired behaviors of a network of interacting components. Techniques to analyze the feasibility of an MSC over a given HA network are based on specialized bounded model checking techniques, and focus on efficiently constructing traces of the network that witness the MSC behavior. Unfortunately, these techniques are unable to deal with the “unfeasibility” of the MSC, i.e. that no trace of the network satisfies the MSC. In this paper, we tackle the problem of MSC unfeasibility: first, we propose specialized techniques to prove that an MSC can not be satisfied by any trace of a given HA network; second, we show how to explain why an MSC is unfeasible. The approach is cast in an SMT-based verification framework, using a local time semantics, where the timescales of the automata in the network are synchronized upon shared events. In order to prove unfeasibility, we generalize k-induction to deal with the structure of the MSC, so that the simple path condition is localized to each fragment of the MSC. The explanations are provided as formulas in the variables representing the time points of the events of the MSCs, and are generated using unsatisfiable core extraction and interpolation. An experimental evaluation demonstrates the effectiveness of the approach in proving unfeasibility, and the adequacy of the automatically generated explanations.
Simulation of dynamics of beam structures with bolted joints using adjusted Iwan beam elements

Mechanical joints often affect structural response, causing localized non-linear stiffness and damping changes. As many structures are assemblies, incorporating the effects of joints is necessary to produce predictive finite element models. In this paper, we present an adjusted Iwan beam element (AIBE) for dynamic response analysis of beam structures containing joints. The adjusted Iwan model consists of a combination of springs and frictional sliders that exhibits non-linear behavior due to the stick–slip characteristic of the latter. The beam element developed is two-dimensional and consists of two adjusted Iwan models and maintains the usual complement of degrees of freedom: transverse displacement and rotation at each of the two nodes. The resulting element includes six parameters, which must be determined. To circumvent the difficulty arising from the non-linear nature of the inverse problem, a multi-layer feedforward neural network (MLFF) is employed to extract joint parameters from measured structural acceleration responses. A parameter identification procedure is implemented on a beam structure with a bolted joint. In this procedure, acceleration responses at one location on the beam structure due to one known impulsive forcing function are simulated for sets of combinations of varying joint parameters. A MLFF is developed and trained using the patterns of envelope data corresponding to these acceleration histories. The joint parameters are identified through the trained MLFF applied to the measured acceleration response. Then, using the identified joint parameters, acceleration responses of the jointed beam due to a different impulsive forcing function are predicted. The validity of the identified joint parameters is assessed by comparing simulated acceleration responses with experimental measurements. ARTICLE IN PRESS *Corresponding author. Tel. : +1-217-333-4970; fax: +1-217-244-0720. E-mail address: lbergman@uiuc.edu (L.A. Bergman). 1 Currently at Sandia National Laboratories, Albuquerque, NM. 0022-460X/03/$ see front matter r 2003 Elsevier Ltd. All rights reserved. doi:10.1016/S0022-460X(03)00499-1 The capability of the AIBE to capture the effects of bolted joints on the dynamic responses of beam structures, and the efficacy of the MLFF parameter identification procedure, are demonstrated. r 2003 Elsevier Ltd. All rights reserved.
Structural properties of DNO investigated with pyrene excimer formation

Four diamino acid‐Nα‐substituted oligopeptide (DNO) oligomers substituted with pyrenyl as photophysical probes were synthesized. The excimer formation and ground‐state association of the pyrenyl groups were investigated by means of absorption and steady‐state fluorescence spectroscopy together with time‐resolved fluorescence techniques. The photophysical parameters obtained from the different derivatives reflect the secondary structural properties of the DNO backbones. Copyright © 2000 European Peptide Society and John Wiley & Sons, Ltd.
Targeting and Anchoring Tudor in the Pole Plasm of the Drosophila Oocyte

Background Germline formation is a highly regulated process in all organisms. In Drosophila embryos germ cells are specified by the pole plasm, a specialized cytoplasmic region containing polar granules. Components of these granules are also present in the perinuclear ring surrounding nurse cells, the nuage. Two such molecules are the Vasa and Tudor proteins. How Tudor localizes and is maintained in the pole plasm is, however, not known. Methodology/Principal Findings Here, the process of Tudor localization in nuage and pole plasm was analyzed. The initial positioning of Tudor at the posterior pole of stage 9 oocytes was found to occur in the absence of a structurally detectable nuage. However, in mutants for genes encoding components of the nuage, including vasa, aubergine, maelstrom, and krimper, Tudor was detached from the posterior cortex in stage 10 oocytes, suggesting a prior passage in the nuage for its stability in the pole plasm. Further studies indicated that Valois, which was previously shown to bind in vitro to Tudor, mediates the localization of Tudor in the pole plasm by physically interacting with Oskar, the polar granule organizer. An association between Tudor and Vasa mediated by RNA was also detected in ovarian extracts. Conclusions/Significance The present data challenge the view that the assembly of the polar granules occurs in a stepwise and hierarchical manner and, consequently, a revised model of polar granule assembly is proposed. In this model Oskar recruits two downstream components of the polar granules, Vasa and Tudor, independently from each other: Vasa directly interacts with Oskar while Valois mediates the recruitment of Tudor by interacting with Oskar and Tudor.
Automatic mining of cognitive metadata using fuzzy inference

Personalized search and browsing is increasingly vital especially for enterprises to able to reach their customers. Key challenge in supporting personalization is the need for rich metadata such as cognitive metadata about documents. As we consider size of large knowledge bases, manual annotation is not scalable and feasible. On the other hand, automatic mining of cognitive metadata is challenging since it is very difficult to understand underlying intellectual knowledge about documents automatically. To alleviate this problem, we introduce a novel metadata extraction framework, which is based on fuzzy information granulation and fuzzy inference system for automatic cognitive metadata mining. The user evaluation study shows that our approach provides reasonable precision rates for difficulty, interactivity type, and interactivity level on the examined 100 documents. In addition, proposed fuzzy inference system achieves improved results compared to a rule-based reasoner for document difficulty metadata extraction (11% improvement).
Serum aminotransferase levels instead of etiology affects the accuracy of transient elastography in chronic viral hepatitis patients

Background and Aim: It is still uncertain whether the accuracy of transient elastography (TE) in predicting the fibrosis stage is similar in chronic hepatitis B (CHB) and chronic hepatitis C (CHC). The present study was carried out to evaluate whether the underlying cause of chronic viral hepatitis affects the predictive accuracy of TE.
Multitasking on reconfigurable architectures: microarchitecture support and dynamic scheduling

Dynamic scheduling for system-on-chip (SoC) platforms has become an important field of research due to the emerging range of applications with dynamic behavior (e.g., MPEG-4). Dynamically reconfigurable architectures are an interesting solution for this type of applications. Scheduling for dynamically reconfigurable architectures might be classified in two major broad categories: (1) static scheduling techniques or (2) use of an operating system (OS) for reconfigurable computing. However, research efforts demonstrate a trend to move tasks traditionally assigned to the OS into hardware (thus increasing performance and reducing power). In this paper, we introduce a methodology for dynamically reconfigurable architectures. The dynamic scheduling of tasks to several reconfigurable units is performed by a hardware-based multitasking support unit. Two different versions of the microarchitecture are possible (with or without a hardware configuration prefetch unit). The dynamic scheduling algorithms are also explained. Both algorithms try to minimize the reconfiguration overhead by overlapping the execution of tasks with device reconfigurations.An exhaustive study (using the developed simulation and performance analysis framework) of this novel proposal is presented, and the effect of the microarchitecture parameters has been studied. Results demonstrate the benefits of our approach (achieving similar performance to a static configuration solution but using half of the resources). The hardware configuration prefetch unit is useful (i.e., minimize the execution time) in applications with low level of parallelism.
Learning from a leprosy project in Indonesia: making mindsets explicit for stigma reduction

International attention for disability recognises that it plays an important role in persistent poverty. Leprosy can cause preventable disability. Stigma associated with leprosy often has greater implications for people affected than physical impairments. The Stigma Assessment and Reduction of Impact (SARI) project in Indonesia employs an action research methodology to develop stigma reduction interventions. By exploring the different mindsets of the stakeholders in the reconnaissance phase of the project, the project identified differences in aspirations, attitudes to research, and conflicting intrinsic models of disability. The differences in mindsets are not symptoms of failure but, rather, should be actively sought out.
Dual-Plane Watermarking for Color Pictures Immune to Rotation, Scale, Translation, and Random Bending

An extended watermarking method for still pictures is described that can embed watermarks immune to not only rotation, scaling, and translation but also to random geometric distortion and any of their combinations. It requires no searches for treating random distortion. The search for rotation and scaling is combinatorial but is independent of the search for translation. That is, the angle and size of the target picture can be restored without restoring the picture¿s origin. Furthermore, the translation search is divided into horizontal and vertical searches that can be carried out independently. The number of searches is thus drastically reduced, making the processing speed high enough for practical application. Experimental evaluation demonstrated that the proposed method can embed watermarks immune to all four types of transformation. Although it was designed for still pictures, it can easily be extended to motion pictures.
MOA: Massive Online Analysis

Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collection of offline and online methods as well as tools for evaluation. In particular, it implements boosting, bagging, and Hoeffding Trees, all with and without Naive Bayes classifiers at the leaves. MOA supports bi-directional interaction with WEKA, the Waikato Environment for Knowledge Analysis, and is released under the GNU GPL license.
Association of cyclin D1 (G870A) polymorphism with susceptibility to esophageal and gastric cardiac carcinoma in a northern Chinese population

Our aim was to investigate the association of cyclin D1 (G870A) single nucleotide polymorphism with susceptibility to esophageal and cardiac carcinoma in a northern Chinese population. By polymerase chain reaction‐single strand conformation polymorphism analysis, cyclin D1 (G870A) genotyping was carried out among 120 patients with esophageal squamous cell carcinoma (ESCC), 87 patients with gastric cardiac adenocarcinoma (CAC), and 183 age‐ and gender‐matched controls. The cyclin D1 genotype distribution among ESCC patients was significantly different from that among healthy controls (χ2 = 7.372, p = 0.025). The G/G genotype was significantly less frequent among ESCC patients (9.2%) than among healthy controls (20.8%) (χ2 = 7.192, p = 0.007). The G/G genotype significantly reduced risk for the development of ESCC compared to the combination of G/A and A/A genotypes (adjusted odds ratio [OR] = 0.37, 95% confidence interval [CI] = 0.16–0.83). After stratification according to smoking status, the A/A frequency among smoking ESCC (34.3%) and CAC patients (35.7%) was significantly higher than that among smoking healthy controls (18.6%) (χ2 = 5.426 and 5.599, p = 0.020 and 0.018, respectively). Smokers with the A/A genotype had an about 2‐fold increased risk for both of ESCC and CAC compared to the G/A and G/G genotypes, with an adjusted OR of 2.26 in ESCC (95% CI = 1.14–4.49) and of 2.42 in CAC (95% CI = 1.17–4.98). No correlation between the cyclin D1 genotype and development of ESCC or CAC was found among nonsmokers. Determination of the cyclin D1 (G870A) single nucleotide polymorphism may be suitable to identify individuals with increased risk for ESCC or CAC in the northern Chinese population. © 2003 Wiley‐Liss, Inc.
ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network

With the development of next generation sequencing techniques, it is fast and cheap to determine protein sequences but relatively slow and expensive to extract useful information from protein sequences because of limitations of traditional biological experimental techniques. Protein function prediction has been a long standing challenge to fill the gap between the huge amount of protein sequences and the known function. In this paper, we propose a novel method to convert the protein function problem into a language translation problem by the new proposed protein sequence language “ProLan” to the protein function language “GOLan”, and build a neural machine translation model based on recurrent neural networks to translate “ProLan” language to “GOLan” language. We blindly tested our method by attending the latest third Critical Assessment of Function Annotation (CAFA 3) in 2016, and also evaluate the performance of our methods on selected proteins whose function was released after CAFA competition. The good performance on the training and testing datasets demonstrates that our new proposed method is a promising direction for protein function prediction. In summary, we first time propose a method which converts the protein function prediction problem to a language translation problem and applies a neural machine translation model for protein function prediction.