Miracle-dz/UniFAR-FTUs huggingface dataset:
CRBcast: a collaborative rateless scheme for reliable and energy-efficient broadcasting in wireless sensor networks

In this paper, we propose a two-phase broadcasting scheme referred as collaborative rateless broadcast (CRBcast). We are particularly interested in reliability and energy efficiency of the broadcasting scheme for multi-hop wireless sensor networks. Our two-phase protocol is based on probabilistic broadcasting (PBcast) and an application layer rateless coding. At the first phase, the rateless-encoded packets are broadcasted based on PBcast, in which each node probabilistically relays every new received packet. The second recovery phase, which is based on simple collaborations of nodes, ensures that all nodes can recover original data. We first investigate PBcast analytically and with simulation, since the characteristics of PBcast influence CRBcast. Then, we investigate the effectiveness of CRBcast. We show that CRBcast can provide both reliability and energy efficiency. Simulation results indicate that CRBcast saves at least 72% and 60% energy in comparison with flooding and PBcast, respectively
The relationship between TQM practices, quality performance, and innovation performance: An empirical examination

This empirical study examines the relationship between total quality management (TQM) and innovation performance and compares the nature of this relationship against quality performance. The empirical data were obtained from a survey of 194 managers in Australian industry encompassing both manufacturing and non‐manufacturing sectors. The structural equation modeling technique was used to examine the relationships between TQM and quality performance as well as innovation performance, simultaneously. The findings suggest that TQM significantly and positively relates to both product quality and product innovation performance although it appears that the magnitude of the relationship is greater against product quality. In addition, significant causal relationships between quality performance and innovation performance were found, suggesting that achievement of one aspect of performance could impact the other.
Contesting Practices, Challenging Codes: Self advocacy, disability politics and the social model

This paper examines the relationship between Self Advocacy and the disability movement in Britain in the light of social movement theory. Using the concept of 'collective identity' as it is explored in social movement theory, the analysis examines why the disability movement's promotion of a strong disabled identity may be difficult to achieve for all its constituents, particularly people with learning difficulties. Additionally the concept of symbolic production within social movement theory is used to explore how the movement uses the social model of disability as its 'collective action frame'. It is argued realignment of this frame is taking place within the movement and is reflected in debates within Disability Studies about the role of impairment. The voices of people with learning difficulties remain silent in this debate. The paper concludes by arguing for the recognition of social, psychological and cognitive difference as pre-requisite to an inclusive theory and politics of disability.
Model-Checking Verification for Reliable Web Service

Model-checking is a promising technique for the verification and validation of software systems. Web service, an emerging technology in the Internet, is an autonomous server that may offer an individual service. It sometimes requires to combine more than one to meet our requirements. WSFL(Web Services Flow Language) is proposed as a language to provide means to describe Web service aggregation. We are interested in how much the software modelchecking technique can be used as a basis for raising reliability of Web service, Web service flow descriptions in particular. Our experience shows that faulty flow descriptions can be identified with the proposed method. The method is also very helpful in studying an alternative semantics of the WSFL in regard to the handling of dataflows.
A Strategy for the Chemical Synthesis of Nanostructures

Highly localized chemical catalysis was carried out on the surface groups of a self-assembled monolayer with a scanning probe device. With the use of a platinum-coated atomic force microscope tip, the terminal azide groups of the monolayer were catalytically hydrogenated with high spatial resolution. The newly created amino groups were then covalently modified to generate new surface structures. By varying the nature of the catalyst and the chemical composition of the surface, it may be possible to synthesize molecular assemblies not readily produced by existing microfabrication techniques.
Bellevue: A 50MHz variable-width SIMD 32bit microcontroller at 0.37V for processing-intensive wireless sensor nodes

In the context of wireless sensor nodes for the Internet-of-Things, there is a need for low-power high-performance computing cores for video monitoring applications. In this paper we present a custom 50MHz 32-bit microcontroller running at 0.37V built on a 65nm LP/GP CMOS process. Part of an energy-harvesting SoC with on-chip CMOS imager, it features adaptive voltage scaling, low-power 1. 55μW sleep mode, and a variable-width SIMD pipeline and multiply/divide unit, achieving 7. 7μW/MHz overall.
A survey on the chronological evolution of timestamp schedulers in packet switching networks

The interest in solving the issue of congestion or flow control in network established from the first discovery and increase popularity of the Internet in 1967 or earlier. As the use of the network deployed and the popularity increase, the issue grows and the demand for an optimal or tentative solution becomes obvious. Since that time there has been an intensive effort from the scholars and researchers to solve the congestion control problem. The problem get worse by the engagement of novel traffic with different characteristics for application called realtime applications such as video and voice applications. Another cause of this demand is the user himself. The attempt in solving the congestion problem in network layer was popular in 90's. This article will demonstrate chronologically how the attempts toward timestamp based scheduling in the packet-switch network have been evolved. Furthermore, the benefit and the drawbacks of using a mechanism will be presented. Also, a brief explanation of the mathematical, conceptual or implementation issue of a mechanism is given. The key success of the scheduler in the market will be highlighted. This paper will stimulate the research thinking to identify the importance and the ability of scheduling in routers to enhance quality of service (QoS) for real time application over other solution in several layers. In addition it will assist the researcher to distinguish the key failure of other proposed mechanisms which have not been implemented in real routers.
Effects of glosses on learning of L2 grammar and vocabulary

The present study examines how glossing of second language (L2) texts affects L2 learners’ reading comprehension as well as their learning of L2 grammar and vocabulary. It employed a pretest, immediate posttest, and delayed posttest design with two treatment sessions. The target features were English unaccusativity and 10 pseudo-word items. Participants were 52 Korean college students learning English, who were randomly assigned to a glossed or unglossed condition. Glossing was achieved by means of providing Korean translation of each targeted item in the margin of the text. Reading comprehension was measured with 14 multiple-choice items for each text. The learning of the target features was assessed with a grammaticality judgment test and a word form and meaning recognition test. These tests were supplemented with reaction time data and binary confidence ratings in order to assess the solidity of the knowledge acquired. The results indicated that glossing significantly facilitated learning of the target constructions, while having no influence on reading comprehension scores. These results will be discussed in light of potential usefulness of glossing as a means to facilitate learning of L2 grammatical and lexical features.
[Rational use of antibiotics in hospitals].

BACKGROUND The Norwegian antibiotic policy emphasises use of narrow-spectrum antibiotics and has been regarded as successful. We have a low occurrence of antibiotic resistance, but hospital use of antibiotics in general, and broad-spectrum antibiotics specifically, has increased substantially the last 10 years. We now see a trend towards increasing antibiotic resistance, which will inevitably lead to the same serious resistance problems in Norway as abroad. MATERIAL AND METHODS We have assessed resistance profiles for the most common human pathogens in Norway in the light of literature retrieved through a non-systematic search of PubMed and Norwegian literature on rational antibiotic use. The article emphasises pharmacodynamic and pharmacokinetic aspects, as well as ecological side effects of antibiotics and discusses rational treatment of the most common infections in Norwegian hospitals. RESULTS Most research in this context is performed in settings with different antibiotic resistance patterns and attitudes towards antibiotic treatment than in Norway; few studies have focused on rational antibiotic use in Norwegian hospitals. We conclude that "old-fashioned" narrow-spectrum antibiotics can still be used in Norwegian hospitals, as there is little resistance to these agents. INTERPRETATION It is still possible to treat most infections in Norwegian hospitals with narrow-spectrum antibiotics. We encourage physicians to adhere to the Norwegian antibiotic therapy tradition.
Squeezed-light generation in a medium governed by the nonlinear Schrödinger equation.

A first-order perturbation calculation is performed on a generalized nonlinear Schr\"odinger equation in order to investigate the degree of squeezing that can be obtained for a medium described by such a field theory. Expressions for the amount of squeezing in the normal and anomalous dispersion regimes are obtained. In particular, it is found that the amount of squeezing is greater in the anomalous dispersion region than in the normal dispersion region. By keeping fourth-order derivatives in the field, the squeezing when the pump is located at the zero-dispersion wavelength is also investigated.
Applying the Small World Concepts in the Design of Heterogeneous Wireless Sensor Networks

We propose a model to design heterogeneous sensor network topologies with small world features based on the Kleinberg model. The proposed model considers the data communication flow in this kind of network to create network shortcuts toward the sink node in a way that the communication between the sink and the sensor nodes is optimized. The end-points of these shortcuts are nodes with more powerful hardware, leading to a heterogeneous sensor network. Simulation results show that, when the shortcuts are created toward the sink node, with a few powerful sensors, the network presents better small world features and the latency is reduced in the data communication when compared with the original Kleinberg model.
Seasonal change in main alkaloids of jaborandi (Pilocarpus microphyllus Stapf ex Wardleworth), an economically important species from the Brazilian flora

Pilocarpus microphyllus Stapf ex Wardleworth (jaborandi, Rutaceae) is one of the most important Brazilian medicinal species owing to its content of pilocarpine (PIL), an alkaloid used for treating glaucoma and xerostomia. This species contains another alkaloid, epiisopiloturine (EPI), which has demonstrated effectiveness against schistosomiasis. The aim of this work was to assess seasonal changes of PIL and EPI in three populations of cultivated P. microphyllus from northeastern Brazil over one year, including the dry and rainy seasons. Alkaloid profiles were correlated to phenotypic and genetic patterns in the morphological and molecular characterizations. PIL was the primary alkaloid and its levels differed among populations in all months except September. The S01 population (green line) showed an especially high PIL content compared to populations S02 and S03 (traditional line), which had similar alkaloid contents. PIL content gradually decreased in the three populations in the rainy season.EPI content was significantly different between the green line (S01) and the traditional line (S02 and S03). S01 had a significantly lower EPI content in all months, demonstrating that it was not the best source for EPI extraction. Inter simple sequence repeat (ISSR) markers and morphological analyses clearly separated S01 from S02 and S03, in agreement with the alkaloid results. This study shows the first correlation between the chemical, morphological, and molecular markers of P. microphyllus and highlights the potential benefits of a multidisciplinary research approach aimed at supporting both industry and conservation of natural resources.
Adolescents’ and adults’ views about the evidential basis for beliefs: Relativism and determinism re-examined

Descriptions of adolescents and adults as holding relativist rather than absolutist epistemic stances leave open the questions how (or whether) they think individuals’ beliefs are determined, and what range of beliefs they take to be subject to individual interpretation. In three investigations, 17 and 20 year-olds and older adults gave their views about why people might interpret the same evidence differently, and how their disagreement might be resolved. When different interpretations were made by people likely to have different vested interests, most participants judged that further evidence would not be sufficient for them to reach agreement. In contrast, when different interpretations were made by scientists who might be presumed to share the aim of understanding some phenomenon, participants of all ages were more likely to see the collection of further evidence as the route to agreement. However the 17 year-olds were significantly less likely to hold this view about disputes between scientists than were those in the older age groups. Adolescents’ relativism extends to beliefs which older people take to be quite highly determined by evidence.
Learning Multi-Instance Deep Discriminative Patterns for Image Classification

Finding an effective and efficient representation is very important for image classification. The most common approach is to extract a set of local descriptors, and then aggregate them into a high-dimensional, more semantic feature vector, like unsupervised bag-of-features and weakly supervised part-based models. The latter one is usually more discriminative than the former due to the use of information from image labels. In this paper, we propose a weakly supervised strategy that using multi-instance learning (MIL) to learn discriminative patterns for image representation. Specially, we extend traditional multi-instance methods to explicitly learn more than one patterns in positive class, and find the “most positive” instance for each pattern. Furthermore, as the positiveness of instance is treated as a continuous variable, we can use stochastic gradient decent to maximize the margin between different patterns meanwhile considering MIL constraints. To make the learned patterns more discriminative, local descriptors extracted by deep convolutional neural networks are chosen instead of hand-crafted descriptors. Some experimental results are reported on several widely used benchmarks (Action 40, Caltech 101, Scene 15, MIT-indoor, SUN 397), showing that our method can achieve very remarkable performance.
Insult after injury: pressure ulcers in trauma patients.

DESIGN Nonexperimental-Descriptive. SAMPLE The inclusion criteria were trauma patients, ages 15 and older, who were hospitalized for > 2 days, and who did not have preexisting skin breakdown. A total of 148 consecutive trauma patients admitted to the study institution meeting the inclusion criteria were prospectively enrolled. METHODS Patients were assessed every 3 days for skin breakdown. Information on the patient's bed type, therapies, medical devices, and nutrition was collected. The Braden Scale for predicting pressure ulcer risk was completed at each assessment. FINDINGS Of the 148 patients enrolled, 30 developed at least one area of skin breakdown for a prevalence of 20.3% in patients hospitalized more than 2 days. The most common cause of breakdown was positional pressure (47.4%). Cervical collars were the second leading cause at 23.7%, followed by tracheostomy/endotracheal tubes at 10.5%. The mobility subscale of the Braden Pressure Ulcer Risk Assessment tool was significantly predictive of skin breakdown (p < .001). IMPLICATIONS FOR NURSING RESEARCH Skin breakdown is a significant problem in trauma patients who are hospitalized for more than 2 days. Aggressive protocols on positioning, cervical collar use, and airway adjuncts, as well as additional active nursing interventions for immobile patients, may be ways to decrease the skin breakdown prevalence in this population.
An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification

Whilst snoring itself is usually not harmful to a person’s health, it can be an indication of Obstructive Sleep Apnoea (OSA), a serious sleep-related disorder. As a result, studies into using snoring as acoustic based marker of OSA are gaining in popularity. Motivated by this, the INTERSPEECH 2017 ComParE Snoring sub-challenge requires classification from which areas in the upper airways different snoring sounds originate. This paper explores a hybrid approach combining evolutionary feature selection based on competitive swarm optimisation and deep convolutional neural networks (CNN). Feature selection is applied to novel deep spectrum features extracted directly from spectrograms using pre-trained image classification CNN. Key results presented demonstrate that our hybrid approach can substantially increase the performance of a linear support vector machine on a set of low-level features extracted from the Snoring sub-challenge data. Even without subset selection, the deep spectrum features are sufficient to outperform the challenge baseline, and competitive swarm optimisation further improves system performance. In comparison to the challenge baseline, unweighted average recall is increased from 40.6% to 57.6% on the development partition, and from 58.5% to 66.5% on the test partition, using 2 246 of the 4 096 deep spectrum features.
Organizing Whiteness: Gender, Nationality and Subjectivity in Postcolonial Hong Kong

This article looks at the negotiation and construction of new white subjectivities in the changing global workplace of Hong Kong. It explores how recent changes in the social and political landscape are being accompanied by complex transformations of work and working identities. Drawing on research conducted with white expatriates in the period since the return to Chinese rule in 1997, it reveals that whiteness, Britishness and gender are simultaneously both critical and unstable concepts that affect the ways in which these changing working identities are being managed and performed. The article explores interviews with a selection of British expatriates working in different contexts and identifies the key discourses that they draw upon as resources to position themselves as they talk about their working lives. These show that, while the colonial heritage is still evident, the interplay between global and local discourses and the formation of white, gendered subjectivities means that spaces are being created to renegotiate the established privileges and forms of entitlement on which work relationships have hitherto been based.
Taxometric and related methods in relationships research

Research on personal relationships inescapably uses taxonomies for classifying people, relationships, and interpersonal processes and events, and often develops new ones. However, constructing a good taxonomy is no simple matter. Many existing classification methods have serious weaknesses, and they carry the risk of drawing taxonomic distinctions that are spurious. In addition, researchers frequently make unwarranted assumptions about the nature of the taxonomic categories that they employ in their work. This article introduces a family of quantitative methods for testing and generating taxonomies. Although they have seen little use to date outside of psychopathology, personality psychology, and behavioral genetics, these methods are versatile and readily adapted to the domain of personal relationships, where they offer many research possibilities. Three of the methods are illustrated in a study of elementary forms of relationships.
Work engagement, job design and the role of the social context at work: Exploring antecedents from a relational perspective

Relational resources are now recognized as significant factors in workplaces and increasing attention is being given to the motivational impact of giving, in addition to receiving social support. Our study builds on this work to determine the role of such relational mechanisms in work engagement, a concept that simultaneously captures drive and well-being. Data from 182 midwives from two maternity hospitals revealed a best-fit model where perceived supervisor support, social support from peers, prosocial impact on others and autonomy explained 52 percent of variance in work engagement. Perceived prosocial impact acted as a significant partial mediator between autonomy and work engagement. This study provides evidence for the importance of perceived prosocial impact and the role of immediate supervisors in facilitating work engagement in midwifery. Results highlight the value of relational resources and suggest their explicit inclusion in current models of work engagement.
Exploring Authorship Development Among Mexican EFL Teacher-Researchers

En este articulo se presenta un modelo multiteorico y multinivel para identificar el proceso en el que los autores se desarrollan en el area de la ensenanza del ingles como lengua extranjera, proceso identificado como desarrollo de la autoria. Este modelo se desarrollo bajo una perspectiva sociocultural de la formacion de profesores que presenta una muestra de las percepciones de seis profesores investigadores mexicanos en el area de ingles como lengua extranjera. Se utilizo un metodo mixto que combino el analisis de documentos con narrativas personales. Los resultados de esta investigacion indicaron la presencia de momentos significativos de su autoria (productos y actividades) y su auto-autoria (procesos de transformacion), que contribuyeron a la construccion del desarrollo de la autoria de estos profesores-investigadores.
APPLYING LOGISTIC REGRESSION AND RVM TO ACHIEVE ACCURATE PROBABILISTIC CANCER DIAGNOSIS FROM GENE EXPRESSION PROFILES

Recent research has clearly demonstrated that accurate cancer diagnosis is indeed possible based on gene expression analysis and a database of stored expression profiles from known cancerous tumors. While current techniques largely succeed in correctly identifying the class membership of a tumor among various classes of cancers from its gene expression profile, they do not provide a probability of membership of the tumor in each class. In clinical settings where false negatives in identifying cancer are far more harmful than false positives, such posterior probabilities must be explicitly computed in order to handle asymmetric misclassification costs in a principled theoretical framework. In this paper we demonstrate the success of two related classifiers that achieve classification performance superior to the state-of-the-art Support Vector Machine (SVM) classifier, while also providing a probability of class membership explicitly.