Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing a Fighting Chance in the War for Talent: The Formation and Change of Graduates' Psychological Contracts

The dynamics of the labour market are changing with the balance of power within the employment relationship swinging towards employees. Recruitment is now a seller's market (Herriot, 1988) particularly among mobile, highly skilled workers (Rousseau & Shperling, 2003). The changing labour market has been the backdrop against which a refocusing on the topic of employee-employer relationships by both researchers and practitioners has occurred (Sparrow, 1996; Tekleab, Takeuchi, & Taylor, 2005). This focus is purposed on building a better understanding of such relationships in order to more effectively attract and retain talented staff (Rousseau & Shperling, 2003). The new workforce era has been described as the 'war for talent' and this phrase depicts some of focus, and perhaps even aggression, with which organisations are pursuing new recruits and making efforts to retain them. Workforce planning has become a strategic imperative for organisations with strategies devised to attract and retain staff across the different generations. When it comes to attracting and retaining the younger generation, many organisations have either begun, or expanded existing, graduate programs in an attempt to secure employees. This is particularly the case in industries where there are critical labour shortages. Whilst graduate recruitment has become an important workforce attraction strategy for many organisations, retention may be compromised by the growing tension in workplaces between the different generations of employees. Notable differences have been espoused between the generations in terms of how they see the world and how they prefer to work (e.g. Sheahan, 2005). A topic prolific in popular literature over the recent years has been the behaviours and preferences of Generation Y in the workplace. The popular literature appears to have taken a very negative spin on these supposed differences and has labelled Generation Y members as uncommitted, flaky, self-absorbed and disrespectful. The academic literature dismisses the popular culture literature as inaccurate, empirically unfounded and caricature-like (e.g. Jorgensen, 2003; Taylor, 2005) although, due to a lack of work in the field, it offers little alternative perspective.
Evaluation of a low-intensity version of the early start Denver model with four preschool-aged boys with autism spectrum disorder

Objectives: Data indicate that some developmentally and behaviorally based early intervention programs can lead to a range of improvements in children with autism spectrum disorder. However, many such programs call for a fairly intensive amount of intervention. The objective of this preliminary study was to evaluate the effectiveness of a low-intensity therapist delivered intervention for young children with autism spectrum disorder. Methods: The study evaluated the outcomes of 3 hours per week of therapist-delivered early start Denver model intervention (ESDM) over a 12-week period for four preschool-aged boys with autism spectrum disorder. The effects of intervention on communication, imitation, and engagement were evaluated using a non-concurrent multiple probe across participants design. Results: Following the intervention, all four children showed increases in imitation, engagement, and either functional utterances or intentional vocalizations. These results were maintained after 4 weeks and mostly generalized to each child’s mother. Conclusion: These preliminary results suggest that low-intensity therapist delivered ESDM intervention may be of some benefit to children with autism spectrum disorder.
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming

This paper presents an event-triggered near optimal control of uncertain nonlinear discrete-time systems. Event-driven neurodynamic programming (NDP) is utilized to design the control policy. A neural network (NN)-based identifier, with event-based state and input vectors, is utilized to learn the system dynamics. An actor-critic framework is used to learn the cost function and the optimal control input. The NN weights of the identifier, the critic, and the actor NNs are tuned aperiodically once every triggered instant. An adaptive event-trigger condition to decide the trigger instants is derived. Thus, a suitable number of events are generated to ensure a desired accuracy of approximation. A near optimal performance is achieved without using value and/or policy iterations. A detailed analysis of nontrivial inter-event times with an explicit formula to show the reduction in computation is also derived. The Lyapunov technique is used in conjunction with the event-trigger condition to guarantee the ultimate boundedness of the closed-loop system. The simulation results are included to verify the performance of the controller. The net result is the development of event-driven NDP.
Guaranteed service virtual channel allocation in NoCs for run-time task scheduling

Quality-of-Service becomes a vital requirement in MPSoCs with NoCs. In order to serve them NoCs provide guarantees for latency, jitter and bandwidth by virtual channels. But the allocation of these guaranteed service channels is still an important question. In this paper we present and evaluate different realizations of a central hardware unit which allocates at run-time guaranteed service virtual channels providing QoS in packet-switched NoCs. We evaluate their performance in terms of allocation success, compare it to distributed channel setup techniques for different NoC sizes and traffic scenarios and analyze the required hardware area consumption. We find centralized channel allocation to be very suitable for our run-time task scheduling programming model.
A Survey on Energy efficient protocols in Mobile Adhoc Networks

Mobile adhoc network is an independent group of mobile nodes in which communicate over relatively bandwidth restricted wireless links. The nodes in mobile adhoc network are mobile so that the topology of the network may change quickly and unpredictably over time. In a mobile adhoc network it is very difficult to achieve significant improvement in the energy efficiency and enhance lifetime of the network. Because lacking of power in any wireless device become useless. In the physical layer, if a node is not involve in transmission, the transceiver keep on in an idle mode and to listen if there is any incoming transmissions. Because nodes consume less amount of energy for listening is lesser than for data communication. Suppose, if there is infrequent transmissions destined to the station, idle listening takes wastage of energy. Therefore, in order to reduce the energy without impacts in network connectivity, different types of wakeup schemes are used like operation of power saving protocols and different asynchronous Quorum based power conservation protocols. The power saving protocols allows mobile nodes to switch to a low power sleep mode. In the asynchronous wakeup protocols, uses instead of idle listening it permits station to sleep to suspend the transceiver when there is no transmission of data. Particularly, in the following survey to analyze the different wakeup methods how to improve the network lifetime. Key terms: Mobile adhoc network, energy consumption, Lifetime of network, wakeup schemes
Colour Image Segmentation Technique for Screen Printing

Screen-printing is an industry with a large number of applications ranging from printing mobile phone logos to printing artworks on fabrics. In screen-printing, image segmentation plays a critical role in deciding both the cost and the quality attributes of printing. The work presented in this paper focuses on the development of an approach to colour image segmentation using a combined approach of k-means clustering and principal component analysis. The uncorrelated image data obtained through a principal component analysis was clustered using a k-means clustering algorithm. Since the study focused on the screen printing industry, the selection of the number of clusters k which is the most critical element is allowed to be set manually so that users can limit the number of colours to be segmented. It is shown that this approach produces a significant improvement in colour image segmentation. Results are also compared with another popular clustering algorithm called the mean-shift, which is normally used in feature space clustering.
Audio classification based on adaptive partitioning

This paper presents an audio classification system that provides improved accuracy, robustness and flexibility over reported content-based audio classification methods. The system reads an input audio file, performs segmentation and classification of the composite sounds contained within the file and, for each sound clip, determines the most plausible matching class of audio in the database. Improvements in the accuracy of audio classification are largely due to the partitioning of the input audio file into homogeneous segments while the incorporation of new class detection offers greater flexibility of use.
Epigenome-Wide Association Studies (EWAS) in Cancer

After completion of the human genome, genome-wide association studies were conducted to identify single nucleotide polymorphisms (SNPs) associated with cancer initiation and progression. Most of the studies identified SNPs that were located outside the coding region, and the odds ratios were too low to implement in clinical practice. Although the genome gives information about genome sequence and structure, the human epigenome provides functional aspects of the genome. Epigenome-wide association studies (EWAS) provide an opportunity to identify genome-wide epigenetic variants that are associated with cancer. However, there are problems and issues in implementing EWAS to establish an association between epigenetic profiles and cancer. Few challenges include selection and handling of samples, choice of population and sample size, accurate measurement of exposure, integrating data, and insufficient information about the role of repeat sequences. The current status of EWAS, challenges in the field, and their potential solutions are discussed in this article.
University ’ s repository of research publications and other research outputs Requirements-driven design of service-oriented interactions

Designing service-oriented interactions requires addressing concerns of many stakeholders across enterprise boundaries. To ensure that stakeholders’ concerns are well-understood and properly addressed, we modularize them into four viewpoints that cover representations ranging from business goals to service messaging protocol. We propose a framework for interaction design that helps maintain consistency between representations across the viewpoints. The framework allows stakeholders to collaborate on reconciling their business needs and automatically obtain messaging protocols that satisfy these needs. The viewpoints and the framework enable a requirements-driven collaborative interaction design process. Specifying Service-Oriented Interactions Service-Oriented Architecture (SOA) is emerging as an enabler for inter-enterprise interactions. Services provide platform-independent abstractions around software systems thereby enabling interoperability between heterogeneous systems [1]. Several languages are emerging as standards for describing service interfaces, service architectures, and inter-enterprise interaction protocols (sidebar 1). Inter-enterprise service interaction protocols specify expected message exchanges between a set of abstract roles [2]. At runtime, messaging between actual participants must abide by the established protocol between the roles they play in the interaction. Sidebar 1: Relevant SOA and Web Service (WS) Standards Language Used to Specify WSDescription Language (WSDL) www.w3. org/TR/wsdl Message types and service operation signatures. WS-Choreography Description Language (WS-CDL) www.w3. org/TR/ws-cdl-10/ Multi-participant messaging protocol from a global/neutral point of view. WS-Business Process Execution Language (WS-BPEL) www.oasis-open.org/committees/wsbpel/ Service messaging coordination from a single participant point of view. WS-BPEL Extension for People (BPEL4People) www.oasis-open.org/committees/bpel4people/ Human tasks within a WS-BEPL specification SOA-Modeling Language (SoaML) www.omg. org/spec/SoaML/ High-level service architecture, business information model, and service component architecture. In WS-CDL, messaging and control flow of an interaction protocol are specified using these constructs (pseudo-language used for brevity):
A comparative study on street sign detection

In order to seek for robust features to describe the street signs, a machine learning based comparative study is proposed. The extraction of descriptors is divided into five steps, including pre-processing, image transformation, block designing, local feature computation and normalization. Several detectors are built using the linear support vector machine by considering the information of color, gradients and texture. The evaluation of them is discussed in detail Moreover, we propose our own street sign dataset since the lack of public ones, and make a statistical analysis on it. Experiments show that different information contributes diversely to the detection performances when adopting different feature computation methods. And the detectors built by robust features can detect street signs with excellent achievements.
Outcomes after 90Yttrium-ibritumomab tiuxetan-BEAM in diffuse large B-cell lymphoma: a meta-analysis

High‐dose chemotherapy followed by autologous stem cell transplantation (ASCT) is a standard therapy in patients with relapsed/refractory diffuse large B‐cell lymphoma (DLBCL) who are chemosensitive. The combination of carmustine, etoposide, cytarabine, and melphalan (BEAM) is commonly used as a conditioning regimen. The addition of yttrium‐90 (90Y)‐ibritumomab tiuxetan (Zevalin®) to BEAM (Z‐BEAM) is increasingly being used to improve outcomes and overcome refractory disease. We conducted a literature review and meta‐analysis in order to evaluate the clinical effects of Z‐BEAM followed by ASCT in patients with DLBCL. A literature search was conducted for randomized controlled trials and observational studies of Z‐BEAM as a conditioning regimen for ASCT in adult patients with DLBCL. Extracted data included baseline patient demographics, overall response (ORR), complete response (CR), overall survival (OS), progression‐free survival (PFS), nonrelapse mortality (NRM), median time to ANC and platelet engraftment, and rate of myelodysplastic syndrome. Mixed‐effects models were used to determine estimates. Ten studies (N = 328) were included in the meta‐analysis. The 2‐year OS and PFS were 84.5% (n = 328) and 67.2% (n = 285), respectively. Outcomes were superior in patients with nontransformed lymphoma. Posttransplant, ORR and CR rates were 72.6% and 68.5%, respectively. The NRM rate was 6.3% and the incidence rate of myelodysplastic syndrome was 2.5%. Two‐year OS was significantly associated with pretransplant ORR (P = 0.008, τ2 = 0). There was no significant association between PFS and pretransplant response. Z‐BEAM is safe and effective as a conditioning regimen in relapsed/refractory DLBCL.
Methylphenidate Has Differential Effects on Blood Oxygenation Level-Dependent Signal Related to Cognitive Subprocesses of Reversal Learning

Complete understanding of the neural mechanisms by which stimulants such as methylphenidate ameliorate attention deficit hyperactivity disorder is lacking. Theories of catecholamine function predict that the neural effects of stimulant drugs will vary according to task requirements. We used event-related, pharmacological functional magnetic resonance imaging to investigate the effects of 60 mg of methylphenidate, alone and in combination with 400 mg of sulpiride, on blood oxygenation level-dependent (BOLD) signal in a group of 20 healthy participants during probabilistic reversal learning, in a placebo-controlled design. In a whole-brain analysis, methylphenidate attenuated BOLD signal in the ventral striatum during response switching after negative feedback but modulated activity in the prefrontal cortex when subjects maintained their current response set. The results show that the precise neural site of modulation by methylphenidate depends on the nature of the cognitive subprocess recruited.
My colleagues and my filing cabinet: insider research access for part-time post-graduate students

Access is described as “one of the key and yet most difficult steps” in organizational research (Bryman and Bell, 2007:444). Typical definitions of business research access in the methods literature emphasise physical entry to premises and the establishment and maintenance of relationships with gate-keepers and potential respondents (Bryman and Bell, 2007:444; Coffey, 2006:1). This implies that the part-time student conducting insider research at their own workplace has nothing more to do to achieve the necessary access.
LDPC-Based Secure Wireless Communication with Imperfect Knowledge of the Eavesdropper's Channel

We present a physical layer approach aimed at providing information-theoretic security in wireless communication systems. Our secret key agreement scheme, which uses state-of-the-art error correcting codes and borrows ideas from quantum key distribution such as Gaussian reconciliation and privacy amplification, is capable of exploiting the physical properties of wireless fading channels in order to generate secret encryption keys. Focusing on the case of imperfect channel knowledge, we provide a performance analysis of the proposed security sub-system - both In theory and in practice
Bayesian Inference and Markov Chain Monte Carlo Methods Applied to Streamflow Forecasting

In this work we propose a Bayesian approach for the parameter estimation problem of stochastic autoregressive models of order p, AR(p), applied to the streamflow forecasting problem. Procedures for model selection, forecasting and robustness evaluation through Monte Carlo Markov Chain (MCMC) simulation techniques are also presented. The proposed approach is compared with the classical one by Box-Jenkins (maximum likelihood estimation) on a monthly streamflow time series from Furnas reservoir. We conclude that the use of Bayesian statistics and MCMC simulation gives more flexibil ity and powerful results than those obtained from the classical approach.
CHESS: A Systematic Testing Tool for Concurrent Software

Concurrency is used pervasively in the development of large systems programs. However, concurrent programming is difficult because of the possibility of unexpected interference among concurrently executing tasks. Such interference often results in “Heisenbugs” that appear rarely and are extremely difficult to reproduce and debug. Stress testing, in which the system is run under heavy load for a long time, is the method commonly employed to flush out such concurrency bugs. This form of testing provides inadequate coverage and has unpredictable results. This paper proposes an alternative called concurrency scenario testing which relies on systematic and exhaustive testing We have implemented a tool called CHESS for performing concurrency scenario testing of systems programs. CHESS uses model checking techniques to systematically generate all interleaving of a given scenario. CHESS scales to large concurrent programs and has found numerous previously unknown bugs in systems that had been stress tested for many months prior to being tested by CHESS. For each bug, CHESS is able to consistently reproduce an erroneous execution manifesting the bug, thereby making it significantly easier to debug the problem. CHESS has been integrated into the test frameworks of many code bases inside Microsoft and is being used by testers on a daily basis.
Parametric garment modeling from sections

We present a feature and parameterization approach for constructing garment surface with garment sections from human body sections. The body section is obtained from polygonal 3D human models with the horizontal cutting plane based on detecting feature points on human model. Then we make the interstice measure which converts from garment tolerance as the parameter to build garment sections from body sections. Garment Surface is constructed with garment sections by an improved angle synchronous method.
Engaging trainees by actively giving feedback will increase their receptiveness to peer' feedback and motivate behavior-changes in holistic care: a pilot study

Background: Continuous trainings of holistic-care behaviors, including teamwork and communication, are important for health professionals to ensure holistic care. In holistic-care simulation training, receiving feedback is a regular step to help trainees assess and rethink their practice. Initial acceptance of feedback by trained health professionals will motivate them in changing behaviors. So, it is importance to increase the trainee's initial receptiveness of in-training feedback. Objective: This study aims to evaluate whether engaging trainees by actively giving feedback will increase their receptiveness to peer' feedback and motivate behavior changes in holistic care. Methods: Health professionals without previous holistic-care training were enrolled, and randomly divided into feedback-giver groups including A (bi-directional feedback recipients and givers group) and C (unidirectional feedback givers group) groups, and non-feedback givers group B (regular feedback recipients group). In addition to immediate satisfaction and receptiveness to in-training peer-feedback, the percentages of health professionals who are willing to make immediate and continuous motivated type of behavior-change were compared between groups. Results: Higher satisfaction score and higher percentage of motivated type behavior changes were noted in feedback-giving-groups (A and C) than those in non-feedback-giving group (B). The feedback training's effectiveness was confirmed by high preceptor approval of trainee's feedback skills and trainees' good receptivity to Wu S, Yang Y, Shulruf B, Chen C, Lee F MedEdPublish https://doi.org/10.15694/mep.2019. 000049.1 Page | 2 their peers' feedback. Selfand mentor-assessments revealed that initial positive receptiveness (determined by high positivity and usefulness scores) to peer's feedback is associated with more motivated-type behavior changes in their clinical practice. Conclusion: Current study suggested that feedback-giving training is a feasible strategy to increase receptiveness of participants to peer's feedback and activate participants' motivation to make the immediate and continuous behaviortype changes on giving holistic-care behavior-specific peer-feedback.
Beyond 6LoWPAN: Web Services in Wireless Sensor Networks

To date, Wireless Sensor Networks (WSN) require their own specific methodologies, tools, and technologies. With the rise of 6LoWPAN protocols (i.e., IPv6 over Low Power Wireless Personal Area Networks), WSNs can use IP to share a common network layer with other networks and the Internet for highly interoperable device communication. But additional efforts are necessary to develop new or adapt existing application layer protocols for IP-enabled WSNs. Hence, this paper investigates W3C SOAP Web Services (WS) in the context of WSNs. In particular, it is shown that the Devices Profile for Web Services (DPWS) can be used as an application layer protocol in WSNs.