Miracle-dz/UniFAR-FTUs huggingface dataset:
A multi‐objective performance modelling framework for enabling self‐optimisation of cellular network topology and configurations

Cellular system optimisation, a cornerstone of cellular systems paradigm, requires new focus shift because of the emergence of plethora of new features shaping the cellular landscape. These features include self‐organising networks with added flavours of heterogeneity of cell sizes and base station types, adaptive antenna radiation patterns, energy efficiency, spatial homogeneity of service levels and focus shift from coverage to capacity. Moreover, to effectively tackle spatiotemporal dynamics of network conditions, a generic low‐complexity framework to quantify the key facets of performance, that is, capacity, quality of service and energy efficiency of the various network topology configurations (NTC), is needed for enabling self‐organising networks empowered cellular system optimisation on the fly. In this paper, we address this problem and present a performance characterisation framework that quantifies the multiple performance aspects of a given heterogeneous NTC through a unified set of metrics that are derived as function of key optimisation parameters and also present a cross comparison of a wide range of potential NTCs. Moreover, we propose a low‐complexity heuristic approach for holistic optimisation of future heterogeneous cellular systems for joint optimality in the multiple desired performance indicators. The performance characterisation framework also provides quantitative insights into the new tradeoffs involved in optimisation of emerging heterogeneous networks and can pave the way for much needed further research in this area. Copyright © 2016 John Wiley & Sons, Ltd.
Product familiarity and learning new information

Does product familiarity improve shoppers' ability to learn new product information? We examine an earlier study which indicated that greater familiarity increased learning during a new purchase decision. Our reanalysis confirms that the effect depends strongly upon decision strategy. Familiarity facilitates learning when consumers rate each alternative, but when consumers are instructed to choose one alternative, an “inverted u” relationship between familiarity and learning results. Our new analyses also show that consumers familiar with the product category demonstrate stronger brand organization for the new information.
Multiple-model RANSAC for ego-motion estimation in highly dynamic environments

Robust ego-motion estimation in urban environments is a key prerequisite for making a robot truly autonomous, but is not easily achievable as there are two motions involved: the motions of moving objects and the motion of the robot itself. We proposed a random sample consensus (RANSAC) based ego-motion estimator to deal with highly dynamic environments using one planar laser scanner. Instead of directly sampling on individual measurements, the RANSAC process is performed at a higher level abstraction for systematic sampling and computational efficiency. We proposed a multiple-model approach to solve the problems of ego-motion estimation and moving object detection jointly in a RANSAC paradigm. To accommodate RANSAC to multiple models - a static environment model for ego-motion estimation and a moving object model for moving object detection, a compact representation models moving object information implicitly is proposed. Moving objects are successfully detected without incorporating any grid maps, that are inherently time and space consuming. The experimental results show that accurate identification of static environments can help classification of moving objects, whereas discrimination of moving objects also yields better ego-motion estimation, particularly in environments containing a significant percentage of moving objects.
Ovarian Remnant Syndrome at the Trochar Site: A Report of a Rare Complication Following Laparoscopic Ovarian Surgery

drome usually occurs as a result of improper tissue removal or an inappropriate blunt dissection. Endometriosis, pelvic inflam matory disease or previous gynecologic surgeries have been known to increase the risk. Such conditions make removal of ovarian tissue difficult, due to the increased likelihood of dense fibrotic adhesions between an ovary and surrounding structures. Furthermore, with an increase in the number of laparoscopic ovarian surgeries performed, implantation of ovarian tissue also has been recognized as an important cause of ovarian remnant syndrome. 2 Various locations have been identified where residual ovarian tissue was detected after laparoscopic ovarian surgery, including the pelvic wall, cervix, vagina, and bladder. 1 However, reports of residual ovarian tissue detected in an abdominal wall have been rare. This report describes a case of ovarian remnant syndrome caused by residual ovarian tissue at the trochar site after a laparoscopic ovarian cystectomy. that was palpable one week prior to her visit. The mass was not painful and did not show a change in size. Her past medical history was remarkable because she had undergone laparoscopic bilateral ovarian cystectomy due to endometriosis 3 years prior to her visit. Physical examination revealed a surgical scar on her left lower abdomen and an index finger tip-sized mass was pal pable in the abdominal wall under the scar. It was smooth and movable, and was not tender. The laboratory findings were un remarkable. Ultrasonography demonstrated an approximately 1.6×0.9 cmsized hypoechoic mass in the subcutaneous adipose tissue (Fig. 1). An excisional biopsy was performed. The mass was well demarcated from the adjacent soft tissue by a thin fibrous capsule. The cut surface showed a yellow, glistening lobular parenchyma with areas of blood-filled cystic spaces. Histologically, the pa renchyma was composed of luteinized granulosa and theca cell layers, suggesting corpus luteum of the ovary (Fig. 2). There was no evidence of endometriosis. A review of the operation record of the laparoscopic surgery that was performed 3 years prior showed that the patient had 5.4×4.5×4.0 cm- and 3.2×3.0×1.5 cm-sized endometriotic cysts in bilateral ovaries with an associated dense pelvic adhesion. After a cystectomy, the specimens were fragmented and extracted using forceps through the trochar on her left lower abdomen. The patient was discharged after the abdominal wall mass excision and was healthy with no recurrence of the lesion at a follow-up at 32 months.
Design-Based Research and Educational Technology: Rethinking Technology and the Research Agenda

The role of educational technologies in improving educational practices and outcomes has been criticized as over-hyped and insignificant. With few exceptions, the state of education has changed less than expected as a result of tools such as computers and the Internet. To a considerable degree, this is due to the minor role educational technology research plays in transforming the use of technological tools in the classroom. This article presents an analysis of technology as a process and as a value-laden system, both of which have substantial consequences to our approach to research. It is argued in the article that design-based research can address some of the deficiencies of other research methods in investigating the role of tools and techniques in the classroom. Through more democratic research practices and recognizing technology as a system beyond its tools, researchers can increase their impact on educational practice.
Is the “Presidential Image” Reserved for Males? Sex-Role Stereotypes and the 1984 Presidential Election

With the selection of Geraldine Ferraro as a vice presidential candidate and the emergence of the “gender gap” issue in the campaign, the 1984 U.S. presidential election provided a unique opportunity for assessment of the effect of gender on preferences for presidential leadership and perceptions of candidates. 277 college students (Mdn age: 20 yr.) described a Good President, Good Vice-president, Ronald Reagan, Walter Mondale, George Bush, or Ferraro on the revised Bern Sex-role Inventory shortly before the election. The Good President, Good Vice-president, and all candidates except Mondale were seen as more masculine than feminine. In that Reagan was seen as higher in masculinity and lower in femininity than Mondale, results were confirmed by the outcome of the election. However, Ferraro was the only candidate who fitted the Good President profile in both masculinity and femininity. Men and women differed in their perceptions of Reagan and Mondale, supporting the gender-gap hypothesis.
High Quality Dependency Selection from Automatic Parses

Many NLP tasks such as question answering and knowledge acquisition are tightly dependent on dependency parsing. Dependency parsing accuracy is always decisive for the performance of subsequent tasks. Therefore, reducing dependency parsing errors or selecting high quality dependencies is a primary issue. In this paper, we present a supervised approach for automatically selecting high quality dependencies from automatic parses. Experimental results on three different languages show that our approach can effectively select high quality dependencies from the result analyzed by a dependency parser.
Informing a framework for coastal planning on the island of Ireland

The island of Ireland comprises two separate jurisdictions, involving different governance, policy and planning arrangements. Attempts to introduce a cooperative all-Ireland spatial planning framework invite new thinking about the planning and management of the coast. This paper considers the differentiated nature of the island's coastal settlements and highlights common issues shared north and south of the border. The use of typologies to inform policy intervention is discussed in relation to the development of coastal typologies. The paper identifies coastal towns as being relatively poorly understood and proposes a preliminary categorisation of small coastal towns to inform strategic planning practices.
Biological and clinical significance of in vitro prednisolone resistance in adult acute lymphoblastic leukaemia

Abstract: It has been reported that in vitro prednisolone (PDN) resistance provides a prognostic value in childhood acute lymphoblastic leukaemia (ALL). This study aimed at investigating the biological and clinical significance of in vitro PDN resistance in adult ALL. Blast cells from 30 patients were exposed to PDN (0.1 μm–35 μm) and cytotoxicity was determined by the soluble tetrazolium formazan 2,3‐bis (2‐methoxy‐4‐nitro‐5‐sulphophenyl)‐5‐[(phenylamino) carbamyl]‐2H‐tetrazolium hydroxyde (XTT) colorimetric assay. The IC50 (defined as the drug concentration that results in 50% growth inhibition) varied greatly among the samples, from 0.3 μm to >35 μm; 15 μm was subsequently chosen as IC50‐cut‐off point between in vitro resistant and sensitive cases. PDN‐induced cytotoxicity was significantly related to apoptosis, as demonstrated by regression analysis; in sensitive cases, however, the percentage of apoptotic cells after in vitro PDN treatment was significantly increased compared with control (p=0.002). Immunofluorescence evaluation of intracellular BCL‐2 protein showed an equal percentage of positive cells in the two groups, but in resistant cells a higher mean fluorescence intensity (p=0.04) was demonstrated. In vitro sensitive and resistant patients did not display differences in clinical characteristics, in cytological, karyotypic and immunophenotypic features and in the outcome of induction therapy. Disease‐free survival (DFS), however, was significantly better in sensitive patients (p=0.02).
Optimal Actuation Strategies for Sensor/Actuator Networks

Wireless sensor-actuator networks (SANETs), in which nodes perform actions (actuation) in response to sensor measurements and shared information, have great potential in medical and agricultural applications. In this paper, we focus on the problem of using distributed sensed data to design actuation strategies in order to elicit a desired response from the environment, whilst attempting to minimize the communication in the network. Our methodology is based on batch Q-learning; we describe a distributed approach for learning dyadic regression trees to estimate the Q-functions from collected data. Analysis and simulation indicate that substantial communication savings that can be achieved through distributed learning without significant performance deterioration. The simulations also reveal that the performance of our technique depends strongly on the amount of training data available
Rational Elimination of DL-Lite TBox Axioms

An essential task in managing description logic (DL) ontologies is the elimination of problematic axioms. Such elimination is formalised as the operation of contraction in belief change. In this paper, we investigate contraction over DL-LiteR TBoxes. In belief change, a well known approach for defining contraction is via epistemic entrenchments which are preference orderings over formulas. The approach however is not applicable in DL-LiteR as classic belief change assumes an underlying logic that is different from DL-LiteR. Thus we reformulate the epistemic entrenchment approach to make it applicable to DL-LiteR. We then provide instantiation for the reformulated approach.
A state-dependent switching law to quadratically stabilise switched linear systems

This paper generalises a Lyapunov based control strategy, developed in [4], which stabilises a switched linear system consisting of a pair of sub-systems, to a system consisting of arbitrarily many sub-systems. It is shown that the existence of a stable convex combination of the system matrices is a sufficient condition for the proposed control law to stabilise the switched system. Three examples are given of the proposed control law stabilising a system.
A comparison of educational factors promoting or discouraging the intent to remain in engineering by gender

This study seeks to examine key extrinsic and intrinsic factors that encourage or discourage persistence in attaining an engineering degree and pursuing an engineering-related career among both male and female undergraduates. Quantitative and qualitative findings from nine participating undergraduate degree programmes reveal that career expectations formulated through educational experiences as undergraduates play a key role in motivating students. Among females, faculty interaction in the classroom, such as feedback received and the degree to which the faculty treat them with respect, is an important encouraging factor. For both males and females, discouraging elements of the undergraduate experience include the amount of time for coursework, competition in engineering classes and grades. The findings have several practical implications that faculty and administrators can employ in shaping the undergraduate experience to encourage short- and long-term interest in engineering among both male and female students.
Modelling serial position curves with temporal distinctiveness

We offer a critique of the temporal distinctiveness model of serial position effects (Nairne, Neath, Serra, & Byun, 1997). The temporal distinctiveness model combines a precise definition of stimulus distinctiveness with a memory perturbation process. The critique is empirically motivated—we show that with a more complete analysis, the temporal distinctiveness model does not adequately account for Nairne et al.' experimental data. To better account for the data, we independently modified two components of Nairne et al.' model: the mathematical form of the definition of temporal distinctiveness and the mathematical form of the mapping from distinctiveness to free-recall probabilities. Both of these modifications provided for better fits. Yet both Nairne et al.' definition and our modified definition are fairly arbitrary. We show that a significant challenge to this approach is to find theoretically motivated constraints of the temporal distinctiveness model while providing for adequate fits to data.
Dephytinisation with Intrinsic Wheat Phytase and Iron Fortification Significantly Increase Iron Absorption from Fonio (Digitaria exilis) Meals in West African Women

Low iron and high phytic acid content make fonio based meals a poor source of bioavailable iron. Phytic acid degradation in fonio porridge using whole grain cereals as phytase source and effect on iron bioavailability when added to iron fortified fonio meals were investigated. Grains, nuts and seeds collected in Mali markets were screened for phytic acid and phytase activity. We performed an iron absorption study in Beninese women (n = 16), using non-dephytinised fonio porridge (FFP) and dephytinised fonio porridge (FWFP; 75% fonio-25% wheat), each fortified with 57Fe or 58Fe labeled FeSO4. Iron absorption was quantified by measuring the erythrocyte incorporation of stable iron isotopes. Phytic acid varied from 0.39 (bambara nut) to 4.26 g/100 g DM (pumpkin seed), with oilseeds values higher than grains and nuts. Phytase activity ranged from 0.17±1.61 (fonio) to 2.9±1.3 phytase unit (PU) per g (whole wheat). Phytic acid was almost completely degraded in FWFP after 60 min of incubation (pH≈5.0, 50°C). Phytate∶iron molar ratios decreased from 23.7∶1 in FFP to 2.7∶1 in FWFP. Iron fortification further reduced phytate∶iron molar ratio to 1.9∶1 in FFP and 0.3∶1 in FWFP, respectively. Geometric mean (95% CI) iron absorption significantly increased from 2.6% (0.8–7.8) in FFP to 8.3% (3.8–17.9) in FWFP (P<0.0001). Dephytinisation of fonio porridge with intrinsic wheat phytase increased fractional iron absorption 3.2 times, suggesting it could be a possible strategy to decrease PA in cereal-based porridges.
Three-dimensional fuzzy control of mini quadrotor UAV trajectory tracking under impact of wind disturbance

Nowadays, due to advantages of maneuverability, portability and low cost, the mini quadrotor unmanned aerial vehicle (UAV) catches much attention. In some special applications such as narrow space search, stealth detection and cooperative detection in huge region, the mini quadrotor UAV is more suitable than a big one. However, light weight and mini size lead to phenomenon that it is hard for mini quadrotor UAV to use complex control method. Besides, the performance of wind resistant is significant for practicability. In this paper, the under-actuated dynamics, strong nonlinear and coupling characteristics has been analyzed. After that, we propose a three-dimensional fuzzy PID control method for stabilizing attitude control and precise trajectory tracking control. The error, derivative of the error and the second order derivative of the error are the three-dimensional inputs of the controller. After using Simulink, the result shows that the proposed control method realizes precise trajectory tracking and robust attitude control. Furthermore, a kind of turbulent wind field, generated based on Dryden model, is added to disturb the control process. This study shows that three-dimensional fuzzy control method is better than the conventional fuzzy PID method under impact of wind disturbance. Finally, the results prove that our proposed control method has both excellent static and dynamic characteristics.
BoscoR: Extending R from the desktop to the Grid

In this paper, we describe a framework to execute R functions on remote resources from the desktop using Bosco. The R language is attractive to researchers because of its high level programming constructs which lower the barrier of entry for use. As the use of the R programming language in HPC and High Throughput Computing (HTC) has grown, so too has the need for parallel libraries in order to utilize computing resources. Bosco is middleware that uses common protocols to manage job submissions to a variety of remote computational platforms and resources. The researcher is able to control and monitor remote submission from their interactive R IDE, such as RStudio. Bosco is capable of managing many concurrent tasks submitted to remote resources while providing feedback to the interactive R environment. We will also show how this framework can be used to access national infrastructure such as the Open Science Grid. Through interviews with R users, and their feedback after using BoscoR, we learned how R users work and designed BoscoR to fit their needs. We incorporated their feedback to improve BoscoR by adding much needed features, such as remote package management. A key design goal was to have a flat learning curve in using BoscoR for any R user.
The salvage cache: A fault-tolerant cache architecture for next-generation memory technologies

There has been much work on the next generation of memory technologies such as MRAM, RRAM and PRAM. Most of these are non-volatile in nature, and compared to SRAM, they are often denser, just as fast, and have much lower energy consumption. Using 3-D stacking technology, it has been proposed that they can be used instead of SRAM in large level 2 caches prevalent in today's microprocessors. However, one of the key challenges in the use of these technologies, such as MRAM, is their higher fault probabilities arising from the larger process variation, defects in its fabrication, and the fact that the cache is much larger. This seriously affect yield. In this paper, we propose a fault resilient set associative cache architecture which we called the salvage cache. In the salvage cache, a faulty cache block is sacrificed and used to repair faults found in other blocks. We will describe in detail the architecture of the salvage cache as well as provide results of yield simulations that show that a much higher yield can be achieved viz-a-viz other fault tolerant techniques. We will also show the performance savings that arise from the use of a large next-generation L2 cache.
Migrants and mothers: case‐studies from Botswana

The migration literature has long supported the assumption that the migrant modal type is young, single and male. ' In southern Africa this emphasis has some justification since the pattern of mobility is dominated by the migration of black male workers to the centres of production in South Africa. As a corollary of this, women are presumed to play a passive role in terms of migratory behaviour, either following their husbands or being 'left behind' in the rural areas of out-migration.2 Conventional explanations of the sex differential in labour migration have recently been challenged3 and yet, regrettably, some writers4 still feel justified in their exclusion of women as wage-earners. The neglect of female migrants and of female workers are two sides of the same coin. This neglect persists despite evidence of the increasing labour migration of women within the countries of southern Africa.5 In Botswana, the wage-migration of women is directed towards the urban centres and has contributed to the massive redistribution of the population from the rural
Women in Prison With Traumatic Brain Injury: Prevalence, Mechanism, and Impact on Mental Health

Relatively little is known about the characteristics of female offenders. Here, we studied the prevalence of traumatic brain injury (TBI) and mental health issues in an exclusively female prison population in New Zealand. Participants (N = 38) were recruited from all security levels at Christchurch Women’s Prison. Measures for depression, anxiety, and stress, sleep, and a history of TBI were administered; 94.7% (36/38) of participants presented with a history of TBI. Younger age at first injury was associated with an increased risk of mental health problems. The study concludes that TBI is highly prevalent among female offenders and may be linked to increased mental health problems. TBI should be considered as an important factor in offender pathways and treatment programs.