Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-Series Modeling of Tide Gauge Records for Monitoring of the Crustal Activities Related to Oceanic Trench Earthquakes Around Japan

Tide gauge observations along the coastline of Japan have recorded the land sinking due to the continuous subduction of the oceanic plates, indicating that stress and strain energies have been accumulating at the plate boundary, which would eventually cause large oceanic trench earthquakes like the 2011 Great East Japan Earthquake. The proposed method extracts such long-term activities of the Earth's crust together with rapid displacements related to earthquakes, even before the establishment of the global positioning system, from monthly mean data of the sea levels. A state space model decomposes the tide gauge time series into trend, seasonal, autoregressive and observation noise components, each of which are estimated using the particle filter algorithm. The spatial and temporal distributions of the extracted trend component clearly indicate high-risk regions, near which giant earthquakes have occurred or are predicted to occur. A multivariate analysis of the observatories located at the northeast coast of Japan successfully determines the past crustal displacement in the case of the 1978 Off-Miyagi Earthquake. The proposed method has the potential application for monitoring crustal activities related to the accumulation of earthquake energy.
Dynamic Release of Bending Stress in Short dsDNA by Formation of a Kink and Forks

Abstract Bending with high curvature is one of the major mechanical properties of double‐stranded DNA (dsDNA) that is essential for its biological functions. The emergence of a kink arising from local melting in the middle of dsDNA has been suggested as a mechanism of releasing the energy cost of bending. Herein, we report that strong bending induces two types of short dsDNA deformations, induced by two types of local melting, namely, a kink in the middle and forks at the ends, which we demonstrate using D‐shaped DNA nanostructures. The two types of deformed dsDNA structures dynamically interconvert on a millisecond timescale. The transition from a fork to a kink is dominated by entropic contribution (anti‐Arrhenius behavior), while the transition from a kink to a fork is dominated by enthalpic contributions. The presence of mismatches in dsDNA accelerates kink formation, and the transition from a kink to a fork is removed when the mismatch size is three base pairs.
Survival strategies and livelihood diversification of Ileje Migrants in Mbozi District, Southern Tanzania

This paper attempts to examine survival strategies and livelihood diversification of migrants in Mbozi district, southern Tanzania. A total of 551 heads of households were involved in this study. The study used both quantitative and qualitative techniques in collecting and analysing data where household questionnaire, in-depth interviews, field observations, focus group discussions and documentary review were used as data gathering techniques. Descriptive statistics and content analysis have been used as data analysis methods. The study results indicate that, Ileje migrants adopted a number of survival strategies such as intensification of non-traditional cash crops such as maize, rice, millet and bananas, out-migration, establishment of petty businesses in major trading centres and involvement in casual labour. The study concludes that the adopted survival strategies were seen to be useful in improving the livelihoods of migrants in the place of destination. However, none of the strategy deemed to be sustainable; rather migrants used them interchangeably. It is recommended to provide support, particularly existence of reliable markets for agricultural products, provision of loans with low interest rates and provision of training on business skills in order to help them strengthen their small business and agriculture that seems to act as their major survival strategy. Key words: Survival strategy, livelihood diversification, migrants, Ileje, Mbozi, Tanzania.
Is Bigger Better in the Eyes of Victorian Citizens

Efficiency approaches to determining optimal population size in local government have proved largely inconclusive in Australian and international contexts. Empirical analysis based on effectiveness, as proxied by citizen satisfaction survey data, offers the possibility of bringing a higher level of clarity to the size debate. However, very few studies have been made of this possible relationship. This present cross-sectional multiple regression analysis provides evidence in support of statistically significant associations between the population parameters (size and density) and resident satisfaction measures. Implications for the Australian structural reform debate are discussed, as well as the need for further research including panel regression.
Improving Emotional Intelligence: A Systematic Review of Existing Work and Future Challenges

Emotional intelligence (EI) can be defined as the ability to identify, express, understand, manage, and use emotions. EI has been shown to have an important impact on health, relationships, and work/academic performance. In this article, we present a systematic review of 46 EI intervention studies on adult populations in order to assess their outcomes. Overall, these findings provide some support for the efficacy of EI programs. However, important limitations in most of the studies restrict the generalizability of their results. We discuss the contributions and limitations of these studies and make recommendations for the development and implementation of future interventions.
Estimating the change point of a normal process mean with a monotonic change

One of the essential steps for process improvement is to quickly recognize the starting time or the change point of a process disturbance. In this paper, we describe the behavior model of process mean and then obtain a maximum‐likelihood estimator (MLE) for the change point of the normal process mean without requiring the exact knowledge of the change type. Instead, we assume that the type of change present belongs to a family of monotonic changes. Finally, we study the performance of the proposed change‐point estimator relative to the MLEs for the process mean change point derived under a simple step change and linear trend change assumption. We do this for a number of monotonic change types following a signal from a Shewhart X̄ control chart. Copyright © 2008 John Wiley & Sons, Ltd.
Comprehensive vaccine design for commensal disease progression

A comprehensive design offers global pneumococcal vaccine coverage. Commensal organisms with the potential to cause disease pose a challenge in developing treatment options. Using the example featured in this study, pneumococcal disease begins with Streptococcus pneumoniae colonization, followed by triggering events that prompt the release of a virulent subpopulation of bacteria. Current vaccines focus on colonization prevention, which poses unintended consequences of serotype niche replacement. In this study, noncovalent colocalization of two classes of complementary antigens, one to prevent the colonization of the most aggressive S. pneumoniae serotypes and another to restrict virulence transition, provides complete vaccine effectiveness in animal subjects and the most comprehensive coverage of disease reported to date. As a result, the proposed vaccine formulation offers universal pneumococcal disease prevention with the prospect of effectively managing a disease that afflicts tens to hundreds of millions globally. The approach more generally puts forth a balanced prophylactic treatment strategy in response to complex commensal-host dynamics.
’ s repository of research publications and other research outputs Locating Bugs without Looking Back Conference or Workshop Item

Bug localisation is a core program comprehension task in software maintenance: given the observation of a bug, where is it located in the source code files? Information retrieval (IR) approaches see a bug report as the query, and the source code files as the documents to be retrieved, ranked by relevance. Such approaches have the advantage of not requiring expensive static or dynamic analysis of the code. However, most of state-of-the-art IR approaches rely on project history, in particular previously fixed bugs and previous versions of the source code. We present a novel approach that directly scores each current file against the given report, thus not requiring past code and reports. The scoring is based on heuristics identified through manual inspection of a small set of bug reports. We compare our approach to five others, using their own five metrics on their own six open source projects. Out of 30 performance indicators, we improve 28. For example, on average we find one or more affected files in the top 10 ranked files for 77% of the bug reports. These results show the applicability of our approach to software projects without history.
Title Dynamic organization schemes for cooperative proxy caching

In a generic cooperative caching architecture, web proxies form a mesh network. When a proxy cannot satisfy a request, it forwards the request to the other nodes of the mesh. Since a local cache cannot fulfill the majority of the arriving requests (typical values of the local hit ratio are about 30-50%), the volume of queries diverted to neighboring nodes can substantially grow and may consume considerable amount of system resources. A proxy does not need to cooperate with every node of the mesh due to the following reasons: (i) the traffic characteristics may be highly diverse; (ii) the contents of some nodes may extensively overlap; (iii) the inter-node distance might be too large. Furthermore, organizing proxies in a mesh topology introduces scalability problems, since the number of queries is of the order of . Therefore, restricting the number of neighbors for each proxy to will likely lead to a balanced trade-off between query overhead and hit ratio, provided cooperation is done among useful neighbors. For a number of reasons static the selection of useful neighbors is not efficient. An obvious reason is that web access patterns change dynamically. Furthermore, availability of proxies is not always globally known. This paper proposes a set of algorithms that enable proxies to independently explore the network and choose the most beneficial (according to local criteria) neighbors in a dynamic fashion. The simulation experiments illustrate that the proposed dynamic neighbor reconfiguration schemes significantly reduce the overhead incurred by the mesh topology while yielding higher hit ratios compared to the static approach.
Proton Magnetic Resonance Spectroscopy and Intraoperative MRI Navigation for Frameless Biopsy

Objective: To assess the clinical efficacy of the combined application of Proton Magnetic Resonance Spectroscopy (H-MRS) and intraoperative Magnetic Resonance Imaging (iMRI) navigation in frameless biopsy of intracranial lesions. Method: H-MRS was used to analyze the metabolism of the lesions and to locate appropriate biopsy point. We selected target points with the highest Cho/NAA ratio as shown by H-MRS for frameless biopsies. Thirty-one cerebral biopsy procedures were performed to identify the pathological diagnosis with the help of a 1.5T iMRI and a navigation system. After the biopsy, we routinely injected 0.5-1.0ml of air to the target zone through the biopsy needle. It can either serve as a marker and confirm that the targeted tissue has already been acquired, or form an air plug for local hemostasis. Results: Frameless biopsies were successfully performed in all 31 cases, and pathological diagnosis were made in 30 patients, with a success rate of 96.8% (30/31). None of the patients suffered from significant complications, such as intracranial bleeding or new neurological deficit. Conclusion: H-MRS assists in finding the best biopsy lesion point and iMRI can guide biopsy accurately. The combined application of H-MRS and iMRI navigation is technically feasible and safe for frameless biopsy of intracerebral lesions.
The Utility of the SCAS-C/P to Detect Specific Anxiety Disorders Among Clinically Anxious Children

Questionnaire measures offer a time and cost-effective alternative to full diagnostic assessments for identifying and differentiating between potential anxiety disorders and are commonly used in clinical practice. Little is known, however, about the capacity of questionnaire measures to detect specific anxiety disorders in clinically anxious preadolescent children. This study aimed to establish the ability of the Spence Children’s Anxiety Scale (SCAS) subscales to identify children with specific anxiety disorders in a large clinic-referred sample (N = 1,438) of children aged 7 to 12 years. We examined the capacity of the Separation Anxiety, Social Phobia, Generalized Anxiety, and Physical Injury Fears (phobias) subscales to discriminate between children with and without the target disorder. We also identified optimal cutoff scores on subscales for accurate identification of children with the corresponding disorder, and examined the contribution of child, mother, and father reports. The Separation Anxiety subscale was able to accurately identify children with separation anxiety disorder, and this was replicated across all 3 reporters. Mother- and father-reported Social Phobia subscales also accurately identified children with social anxiety disorder, although child report was only able to accurately detect social anxiety disorder in girls. Using 2 or more reporters improved the sensitivity of the Separation Anxiety and Social Phobia subscales but reduced specificity. The Generalized Anxiety and Physical Injury Fears subscales failed to accurately identify children with the corresponding disorders. These findings have implications for the potential use of mother-, father-, and child-report SCAS subscales to detect specific disorders in preadolescent children in clinical settings.
Unsteady aerodynamics of single and multi-element airfoils

Advanced concepts such as active rotor control via dynamic camber, flaps, leading edge slats and other methods have transformative research potential to improve rotorcraft vibration and performance, as well as to reduce rotor noise. Dynamic stall on the retreating side of the rotor needs to be captured and minimized, and the influence of gaps between the multiple elements of the rotor must be understood. Computational fluid dynamics (CFD) methods using advanced turbulence modeling techniques, in conjunction with experimental results, are used to increase the understanding of the physics of these gaps for static and dynamic stall conditions. These results are also used to aid in the development of unsteady unified aerodynamics theory (UAT), in particular, drag predictions, necessary for design and rapid analysis of these advanced concepts. Initial analysis of the influence of wind tunnel walls on static and dynamic single and multi-element airfoils is also included. Good correlation is seen with the new UAT drag prediction and CFD predictions for the multi-element airfoil, closing the gap where experimental data are not available.
Asymmetric distribution of visual evoked potentials in patients with migraine with aura during the interictal phase.

PURPOSE One of the most commonly described electrocortical phenomena in patients with migraine is an increased interhemispheric asymmetry, in response to different sensory stimuli. This study aims to evaluate the bioelectrical activity of both occipital cortices in patients with migraine with visual aura (MA) during the interictal period, and its possible relationship with visual symptoms. METHODS The authors recorded visual evoked potentials (VEPs) simultaneously from the left (O1) and right (O2) occipital cortices (80% contrast 60', 30', 15', and 7.5' checkerboard stimuli reversed at 2 Hz) in 22 patients with MA and 20 control subjects. The main outcome measure was interhemispheric asymmetry (IA) for both implicit time and amplitude, defined as the difference between the left and right scalp derivation (in absolute values). RESULTS IA was significantly different in patients with MA with respect to controls when employing 60' (p<0.001) and 15' (p<0.05) checkerboard stimuli for implicit times, and 60' (p<0.05) checkerboard stimuli for amplitudes. On the other hand, IA was not statistically different (p>0.05) in patients with MA with respect to controls when employing 30' and 7.5' checkerboards for both implicit times and amplitudes, and 15' checkerboards for amplitudes. No correlations were found between IA and age, onset of disease, attack frequency, or side of headache/aura. CONCLUSIONS Patients with MA presented asymmetries in VEP responses not related to visual aura or to headache side during the pain-free phase. These abnormalities may be ascribed to abnormal visual information processing, resulting in a different cortical activation when both foveal and parafoveal stimuli are used.
TERM WIND POWER FORECASTING USING ADAPTIVE NEURAL FUZZY INFERENCE SYSTEMS

As the global political will to address climate change gains momentum, the issues associated with integrating an increasing penetration of wind power into power systems need to be addressed. This paper summarises the current trends in wind power and its acceptance into electricity markets. The need for accurate short term wind power forecasting is highlighted with particular reference to the 5 minute dispatch interval for the proposed Australian Wind Energy Forecasting System. Results from a case study show that Adaptive Neural Fuzzy Inference System (ANFIS) models can be a useful tool for short term wind power forecasting providing a performance improvement over the industry standard “persistence” approach.
THE UNIVERSITY Does prenatal hypoxia lead to permanent OF SYDNEY cardiovascular change in the offspring ? 3

Chronic prenatal hypoxia is associated with intrauterine growth retardation and there is now some evidence that it also induces programmed hypertension in offspring. However these studies are generally confounded as hypoxia is either induced by maternal hypoxia or placental insufficiency. The study described in this thesis is designed to overcome this problem. Pregnant rats were dosed daily with the drug dofetilide (2.5 mg/kg) or water on GD 11-14 and the cardiovascular parameters of the offspring at 8-12 weeks (>300g) were analysed using implanted telemetry blood pressure (BP) transmitters. Dofetilide is a class III antiarrhythmic drug that selectively blocks the Ikr channel which is expressed in the rat embryo but not in the adult rat. When administered to pregnant rats it induces bradycardia (and associated hypoxia) in the embryos without affecting maternal oxygenation or heart rate. Embryo culture studies showed that dofetilide induced a period of embryonic bradycardia for up to 9 hours following each dose. The dofetilide treated-rats had less completed pregnancies, smaller litters and lower weight pups compared to controls. At 8-12 weeks age the dofetilide offspring has increased BP (+10-12%) compared with controls. Postnatal stress in the form of air puffs did not reveal other cardiovascular differences between control and dofetilide offspring. The increased BP was not associated with an increased HR or changes in the autonomic nervous system. Remaining unexplored possibilities include impaired nephrogenesis, vascular dysfunction and microvascular rarefaction. THE UNIVERSITY Does prenatal hypoxia lead to permanent OF SYDNEY cardiovascular change in the offspring? 3 Formaterat: Radavstånd: enkelt THE UNIVERSITY Does prenatal hypoxia lead to permanent OF SYDNEY cardiovascular change in the offspring? 4 Formaterat: Radavstånd: enkelt Table of
Farmers’ Bargaining Power and Input Prices: What Can We Learn from Self-Reported Assessments?

One of the key challenges in improving our understanding of farmers’ relations with input suppliers is that we do not have direct information about farmers’ bargaining power vis-à-vis their input providers. To overcome this problem, this study used farmers’ self-reported assessments of their position in the supply chain. Using unique micro-survey data from the dairy sector in Poland, we constructed a proxy of farmers’ bargaining power and showed that it helps to explain discounts at which farmers buy feed from input suppliers, in addition to what is explained by the standard variables.
Role of Emotional Intelligence in Organizational Learning: An Empirical Study Based on Banking Sector in Sri Lanka

In the present millennium one factor that appears to be constant in organizations is change. As a result, of that organizations are forced to make significant transformations in order to adapt and survive in this new world. Revans (1983) says that in any epoch of rapid change, those organizations which are unable to adapt will soon find themselves in trouble, and adaptation is achieved only by learning. Organizational Learning (OL) is about the acquisition of new knowledge and highlights the importance of acquiring and disseminating information to assist organization actions (Miller, 1996). Huber (1991) identified that OL consists of four constructs; Knowledge Acquisition, Information Distribution, Information Interpretation and Organizational Memory. Any organization wishing to thrive through change must make the choice to promote, and allow employee expressions of Emotional Intelligence (EI) (Hunton et al, 1998; Robertson et al, 1999). Goleman (1998) has identified four main dimensions of Emotional Intelligence (EI); Self Awareness, Self Management, Social Awareness and Relationship Management. Most of the literature expressed that there are very few studies on this topic in Sri Lankan context as well as all over the world. In addition to that empirical studies also proved that emotional research studies in organizational setting was ignored for a significant period of time. Therefore researchers were attempted to explore the nature and relationship of emotional intelligence in organizational learning ICBI 2010 University of Kelaniya, Sri Lanka
Induction of localized auxin response during spontaneous nodule development in Lotus japonicus

In leguminous plants, rhizobial infection of the epidermis triggers proliferation of cortical cells to form a nodule primordium. Recent studies have demonstrated that two classic phytohormones, cytokinin and auxin, have important functions in nodulation. The identification of these functions in Lotus japonicus was facilitated by use of the spontaneous nodule formation 2 (snf2) mutation of the putative cytokinin receptor LOTUS HISTIDINE KINASE 1 (LHK1). Analyses using snf2 demonstrated that constitutive activation of cytokinin signaling causes formation of spontaneous nodule-like structures in the absence of rhizobia and that auxin responses are induced in proliferating cortical cells during such spontaneous nodule development. Thus, cytokinin signaling positively regulates the auxin response. In the present study, we further investigated the induction of the auxin response using a gain-of-function mutation of Ca2+/calmodulin-dependent protein kinase (CCaMK) that causes spontaneous nodule formation. We demonstrate that CCaMKT265D-mediated spontaneous nodule development is accompanied by a localized auxin response. Thus, a localized auxin response at the site of an incipient nodule primordium is essential for nodule organogenesis.