Miracle-dz/UniFAR-FTUs huggingface dataset:
Completing a PhD by publication: a review of Australian policy and implications for practice

There is increasing impetus for higher-degree-by-research students to publish during candidature. Research performance, including higher degree completions and publication output, commonly determines university funding, and doctorates with publishing experience are better positioned for a career in softening academic labour markets. The PhD by Publication provides a pathway for candidates to foster and demonstrate their publishing capabilities. It also provides existing academics a means of achieving doctoral status while managing the ‘publish or perish’ milieu endemic to their work. This paper clarifies the precise nature and significance of the PhD by Publication pathway in the Australian context and discusses the associated benefits and problems, enriched by personal experience. It summarises factors pertinent to assessing the pathway's suitability. The review of current policy suggests institutional guidelines in universities nationwide are inadequate for producing theses of comparable quality to conventional dissertations and capitalising on the pathway's significant benefits.
Average SEP and BEP Analysis of Transmit Beamforming for MISO Systems with Imperfect Feedback and M-PSK Constellation

We analyze the performance of transmit beamforming on multiple-antenna Rayleigh fading channels with imperfect channel feedback. The feedback imperfections are characterized by noisy channel estimation, feedback delay, and finite rate channel quantization. We develop a general framework, valid for an arbitrary two-dimensional linear modulation, that captures the aforementioned imperfections, and derive the average symbol and bit error probability expressions for M- PSK constellation. We show that the proposed analytical formulation is valid for frequency-domain duplexing system with/without finite rate channel quantization and time-domain duplexing system. The simulation results show accurate agreement with the analytical expressions.
Die Rolle des Internets als Informationsbeschaffungsmedium in Banken

Subject of the study presented in this paper is the analysis of the relevance of the Internet as an information source in German banks. The results show, that today the Internet is indeed the most important information source for many types of information used in the business processes of banks. Especially sources free of charge are not only used widely, they are moreover evaluated very high in quality. It is argued, that attitude and behavior are mainly influenced by psychological and sociological factors. Finally, it is stated, that due to the loss of control over parts of the input factors it is necessary for the banks to actively incorporate the Internet into the quality management processes.
The development and consequences of national curriculum assessment for primary education in England

Background: In 2008 primary education in England reached, historically, another important phase in its development. Government reviewed the primary curriculum and some aspects of the national system of assessment. These government reviews coincided with an independent Primary Review based at the University of Cambridge to which the authors of this article contributed one of the research surveys. Purpose: The main aim of the article is to review research and other evidence about the development of national curriculum assessment in England since 1988. Some historical background is also provided about the period pre-1988. Sources of evidence: The main source of evidence is significant research studies that have shown the impact of national curriculum assessment on teachers and pupils. Main argument: The evidence shows that there were gains in national curriculum test scores up to 2000 but that they then plateaued. The research evidence reveals a number of negative consequences of the implementation of a ‘high stakes’ national assessment system in England. Conclusions: It is concluded that greater emphasis on appropriate formative assessment strategies would be of benefit to pupils. The replacement of a high stakes assessment system with a system of sampling in order to evaluate educational progress nationally is also recommended.
The International Journal on Advances in Networks and Services is published by IARIA

ing is permitted with credit to the source. Libraries are permitted to photocopy or print, providing the reference is mentioned and that the resulting material is made available at no cost. Reference should mention: International Journal on Advances in Networks and Services, issn 1942-2644 vol. 12, no. 3 & 4, year 2019, http://www.iariajournals. org/networks_and_services/ The copyright for each included paper belongs to the authors. Republishing of same material, by authors or persons or organizations, is not allowed. Reprint rights can be granted by IARIA or by the authors, and must include proper reference. Reference to an article in the journal is as follows: <Author list>, “<Article title>” International Journal on Advances in Networks and Services, issn 1942-2644 vol. 12, no. 3 & 4, year 2019, <start page>:<end page> , http://www.iariajournals. org/networks_and_services/ IARIA journals are made available for free, proving the appropriate references are made when their
The Effect of Group Orientated Classroom Management Procedures on Individual Pupils

Summary This study was designed to test the hypothesis that group orientated classroom management procedures may achieve their apparent success merely by raising still further the on‐task behaviour of non‐troublesome pupils. To this end, 1812‐13 year old pupils in a secondary school remedial class were observed and their individual levels of on‐task behaviour recorded. The class teacher's use of approval and disapproval was also noted. Following the collection of baseline data, a modified, simple ‘rules, praise and ignoring’ intervention strategy was implemented, followed by a partial reversal to baseline conditions. Mean class on‐task behaviour was clearly shown to increase from 77% at baseline to 91% during intervention and this was maintained during the partial reversal. Moreover, it was shown that every pupil's on‐task behaviour increased, these increases varying between 3 and 33%, the pupils with the lowest baseline levels making the biggest gains.
Immunogenicity of therapeutic proteins: Influence of aggregation

Abstract The elicitation of anti-drug antibodies (ADA) against biotherapeutics can have detrimental effects on drug safety, efficacy, and pharmacokinetics. The immunogenicity of biotherapeutics is, therefore, an important issue. There is evidence that protein aggregation can result in enhanced immunogenicity; however, the precise immunological and biochemical mechanisms responsible are poorly defined. In the context of biotherapeutic drug development and safety assessment, understanding the mechanisms underlying aggregate immunogenicity is of considerable interest. This review provides an overview of the phenomenon of protein aggregation, the production of unwanted aggregates during bioprocessing, and how the immune response to aggregated protein differs from that provoked by non-aggregated protein. Of particular interest is the nature of the interaction of aggregates with the immune system and how subsequent ADA responses are induced. Pathways considered here include ‘classical’ activation of the immune system involving antigen presenting cells and, alternatively, the breakdown of B-cell tolerance. Additionally, methods available to screen for aggregation and immunogenicity will be described. With an increased understanding of aggregation-enhanced immune responses, it may be possible to develop improved manufacturing and screening processes to avoid, or at least reduce, the problems associated with ADA.
Chemotherapy‐induced neuropathies—a growing problem for patients and health care providers

Chemotherapy‐induced neuropathies are one of the most common side effects of cancer treatment, surpassing bone marrow suppression and kidney dysfunction. Chemotherapy effects on the nervous system vary between different classes of drugs and depend on specific chemical and physical properties of the drug used. The three most neurotoxic classes of anti‐cancer drugs are: platinum‐based drugs, taxanes, and thalidomide and its analogs; other, less neurotoxic but also commonly used drugs are: bortezomib, ixabepilone, and vinca alkaloids.
Are we known by the company we keep? Effects of name‐dropping on first impressions

Prior research on impression management has focused more on the kinds of tactics that people use to be perceived by others as likeable and competent than on the effects. Do these tactics actually affect the way others see us? Name‐dropping is an indirect self‐presentational tactic that asserts social closeness between a person who employs the tactic and the individual who is mentioned. In our study an individual mentioned his or her association with tennis champion Roger Federer during a get‐acquainted conversation. The individual was liked less and perceived as less competent when s/he associated her/himself closely with Roger Federer, and was not perceived as more sporty. Perceived manipulativeness mediated the negative effects of name‐dropping on first impressions. We thank Miles Hewstone for his comments on a previous version of the manuscript. †Deceased.
Mediators of Glioblastoma Resistance and Invasion during Antivascular Endothelial Growth Factor Therapy

Purpose: Vascular endothelial growth factor (VEGF) has been identified as a critical regulator of angiogenesis. Currently, several different strategies are being used to target the VEGF-VEGF receptor signal transduction pathway in glioblastoma. Although anti-VEGF therapy seems be effective in normalizing abnormal tumor vasculature, leading to an enhanced response to radiation and chemotherapy, tumors eventually become resistant to the therapy and adopt a highly infiltrative and invasive phenotype. Experimental Design: In the present study, we evaluated the effects of anti-VEGF therapy (bevacizumab) on glioblastoma invasion both in vitro and in vivo and evaluated the angiogenesis- and invasion-related mediators of developed resistance to this therapy. Results: We found that glioblastoma tumors escaped from antiangiogenic treatment by (a) reactivating angiogenesis through up-regulation of other proangiogenic factors and (b) invading normal brain areas, which was seen in association with up-regulation of matrix metalloproteinase (MMP)-2, MMP-9, and MMP-12; secreted protein, acidic, cysteine-rich; and tissue inhibitor of metalloproteinase 1. In addition to the paracrine effects of VEGF on endothelial cells, autocrine VEGF signaling seemed to regulate glioblastoma invasion because anti-VEGF therapy increased tumor invasiveness in vitro. Conclusions: Collectively, these findings reinforce the importance of VEGF in regulating tumor invasion and identify potential mediators of resistance to targeted VEGF therapy. These results will be important for developing novel combination therapies to overcome this resistance phenotype.
Improving statistical machine translation using syntax-based learning-to-rank system

Word reordering is one of the fundamental problems of machine translation. It is an important factor in the quality and efficiency of machine translations. Tackling the reordering problem can lead to significant improvements in translation quality. A new method is introduced with the objective of solving the reordering problem. It exploits sophisticated syntactic-based features for re-ranking the n -best translation candidates provided by a phrase-based statistical machine translation system. These sophisticated reordering features are based on an innovative structure named the phrasal dependency tree, which is inspired from target-side dependency relations among contiguous non-syntactic phrases. The features benefit from phrase dependencies, translation orientation, and distance. A translation candidate is modelled as a directed and weighted graph built from information provided by the reordering features and is re-scored by the proposed re-ranking system. This system markedly improves the outputs of the machine translation of two syntactically divergent language pairs. The performance is evaluated for Persian→English and German→English translation tasks using the WMT07 benchmark. The results report 0.566/0.95/0.011- and 0.75/0.97/0.024-point improvements in terms of BLEU/TER/LRSCORE metrics on Persian→English and German→English translation tasks, respectively. The superiority of the proposed system in terms of precision and recall measures is demonstrated as well.
Resource sharing architecture for multi-datacenter environment in OXC based networks

Over the past few years, network carriers have tended to consider their network function to be virtualized. It is possible to migrate virtualized network functions (VNFs) across datacenters for auto scaling and auto healing when traffic concentration or failure occurs. However, networks must provide a new network path corresponding to the new traffic flow generated by VNF migration. The problem is that those added network paths cause a cost increase. We propose two cost effective resource sharing methods that use transport software defined network (SDN) and optical cross connect (OXC) to reduce the number of servers and network CAPEX.
Aerosolized Hyaluronic Acid Decreases Alveolar Injury Induced by Human Neutrophil Elastase

Abstract This laboratory has previously shown that an intratracheally instilled solution of hyaluronic acid (HA) protects the lung from elastase-induced airspace enlargement. In those studies, fluorescein-labeled HA was found to bind preferentially to lung elastic fibers, suggesting a mechanism for the protective effect. The current investigation extends these findings by examining the capacity of an aerosol preparation of HA to similarly inhibit elastase-induced lung injury. Syrian hamsters were exposed to aerosolized bovine tracheal HA (0.1% solution in water) for either 25 or 50 min, then immediately instilled intratracheally with 80 units of human neutrophil elastase. One week later the lungs were examined for airspace enlargement, using the mean linear intercept method. Animals exposed to HA for 50 min showed a significant decrease in airspace enlargement compared to controls exposed to aerosolized water alone (68.2 μm vs 85.9 μm; P < 0.05). The 25-min exposure to the HA aerosol also reduced the mean linear intercept compared to controls (73.7 μm vs 85.9 μm), but this decrease was not statistically significant. With regard to possible inflammatory effects of HA, there was no difference in the percentage of lavaged neutrophils between HA-treated and control lungs at 24 hr (1.4% vs 1.8%, respectively). As with earlier experiments using intratracheally instilled HA, aerosolized fluorescein-labeled HA was found to bind to lung elastic fibers. These results suggest that aerosolized HA may prevent elastase-mediated injury in pulmonary emphysema.
Accuracy of three speech recognition systems: Case study of dysarthric speech

People who have dysarthric speech production and other motor disorders that limit their ability to access keyboards may benefit from speech recognition technology. This study compared the accuracy and improvement patterns of three speech recognition systems (Microsoft Dictation, Dragon NaturallySpeaking®, and VoicePad Platinum®) when presented with the speech of a traumatic brain injury survivor with mild dysarthria and a speaker without dysarthria. Data consisted of speech recognition accuracy percentages obtained following each of five training sessions using each system. Accuracy scores were based on participants' reading of preselected sentences and generation of novel sentences. Results showed that, for both speakers, the recognition accuracy of Dragon NaturallySpeaking was significantly better and more consistent than that of the other two systems. The pattern of performance across probes and across systems was consistent between speakers. Given the training procedures employed, all three systems performed with greater accuracy when used by the speaker without dysarthria than by the speaker with dysarthria. Considerations for use and selection of speech recognition software are presented.
Using Artificial Immune Recognition Systems in Order to Detect Early Breast Cancer

In this work, a decision support system for early breast cancer detection is presented. In hard to diagnose cases, different examinations (i.e. mammography, ultrasonography and magnetic resonance imaging) provide contradictory findings and patient is guided to biopsy for definite results. The proposed method employs a Correlation Feature Selection procedure and an Artificial Immune Recognition System (AIRS) and is evaluated using real data collected from 53 subjects with contradictory diagnoses. Comparative results with commonly used artificial intelligence classifiers verify the suitability of the AIRS classifier. The application of such an approach can reduce the number of unnecessary biopsies.
Fast Item-Based Collaborative Filtering

Item-based Collaborative Filtering (CF) models offer good recommendations with low latency. Still, constructing such models is often slow, requiring the comparison of all item pairs, and then caching for each item the list of most similar items. In this paper we suggest methods for reducing the number of item pairs comparisons, through simple clustering, where similar items tend to be in the same cluster. We propose two methods, one that uses Locality Sensitive Hashing (LSH), and another that uses the item consumption cardinality. We evaluate the two methods demonstrating the cardinality based method reduce the computation time dramatically without damage the accuracy.
Returning to Work After the Onset of Illness

Experiences of right hemisphere stroke survivors in their attempts to return to work after the onset of stroke were explored through an interdisciplinary qualitative investigation. Key findings indicate that (a) participants experienced an array of functional limitations that precipitated employment changes; (b) employment changes had a substantial psychosocial impact on both the stroke survivor and the primary caregiver; and (c) successful integration into employment was associated with both internal resources (e.g., patience, determination, sense of humor) and external resources (e.g., emotional support and encouragement from caregivers, family, and friends; emotional and instrumental support from healthcare professionals; employer willingness to provide reasonable accommodations). The findings support the use of an ecological approach to facilitate successful return to work for this population.
Urban parks as shared spaces? The utility of alert distances as indicators of avian tolerance of humans in Stirling, Scotland

Urban avian foraging is strongly affected by approaching people. Avian alert distances, the instant of a bird’s appraisal of human intrusion, have not been studied in a comparative mode for passerines, despite their prominent ecological importance in parks. Alert distances for 13 passerines were examined in parks in Stirling, Scotland, using an innovative approach emphasizing human behaviour and periods between alert and flight distances, termed alert periods. Larger species were less tolerant of humans, although attracted to human wastes. Alert distances also varied according to vegetation variation. Park design may use alert distances to plan vegetation layout as well as reduce disturbing human behaviour.
Intractable Hypoglycemia in the Setting of Autoimmune Overlap Syndrome

This report discusses a case of type B insulin resistance syndrome initially misdiagnosed as type 1 DM and includes a brief review of this complex condition. Evaluation of hypoglycemia in a patient with known diabetes mellitus, although usually straightforward, can at times be challenging. We present the case of an 8 year-old Latina girl initially diagnosed with type 1 diabetes mellitus in the setting of multiple autoimmune disorders, including dermatomyositis and lupus nephritis. She subsequently developed signs of insulin resistance and severe hypoglycemia, which was found to be due to insulin-receptor autoantibodies. This condition, known as type B insulin resistance, is a rare, heterogeneous metabolic disease that may feature hypoglycemia in the setting of extreme insulin resistance and hyperinsulinemia and, in this case, masqueraded as type 1 diabetes mellitus. The presence of hypoglycemia in the setting of multiple autoimmune disorders should prompt consideration of autoimmune-mediated hypoglycemia. In addition to immunologic modifying therapies, advances in diabetes care in the form of continuous glucose monitoring have provided an additional tool to manage recurrent hypoglycemia.
Towards Adapting Non-Standard System Execution Traces for Validating Enterprise DRE System QoS Properties

System execution traces are useful artifacts for validating enterprise distributed real-time and embedded (DRE) system quality-of-service (QoS) properties, such as end-to-end response time, throughput, scalability, and reliability. With proper planning during development phase of the software lifecycle, it is possible to ensure such traces contain the required properties to simply their analysis for QoS validation. In some case, however, it is hard to ensure system execution traces contain the necessary properties, such as with externally developed DRE system components. Consequently, this makes it hard to analyze such system execution traces for validation of QoS properties. This work-in-progress paper provides two contributions for analyzing system execution traces for enterprise DRE system QoS validation. First, this presents a methodology called SETAF for adapting non-standard system execution traces for analysis of QoS properties. Secondly, this paper presents preliminary results from applying SETAF to externally developed applications and analyzing its QoS properties. Initial results show that is possible to analyze non-standard system execution traces for validate QoS properties without modifying the applications existing source code. Keywords-QoS validation, non-standard system execution traces, adaptation, patterns, dataflow
SocialPersuasionin Human-Agent Interaction

Socialpersuasionaboundsin human-humaninteractions.Our attitudesandbehaviors areinvariably influencedby attitudesandbehaviors of otherpeople aswell asour socialroles/relationshipstoward them. We discuss,in this paper , the designof interfaceagentsthat considersthe social aspectsin human-agent interaction.Theunderlyinghypothesisof thedesignis thathumansocialbehaviors towardinterfaceagentsareonaparwith thosetoward humans.We reporton two preliminaryexperimental studiesfocusedon thenatureandtheeffectivenessof socialpersuasionin human-computer interactionenvironments.We arguethatsocialfactors, suchasaffiliation, authorityandconformity, need to be taken into accountin interfaceagentdesign, asthey canhave effective andpersuasi ve power in human-agent interaction.
The Role of Peer Support in Helping the Victims of Bullying in a School with High Levels of Aggression

This study examines the impact of a peer support service as an intervention to counteract bullying in a school with a serious problem. The impact of the intervention was assessed by a survey and by qualitative interviews with staff, peer supporters, users and potential users of the service. The survey indicated that the intervention had no overall effect on levels of bullying in the school as a whole or on the likelihood that peers would intervene to help. However, the interviews indicated that peer helpers and some victims were helped by the initiative, and some potential users of the service perceived it in a positive light. Some explanations of the findings and implications for implementation of such interventions are discussed.