Miracle-dz/UniFAR-FTUs huggingface dataset:
The drivers of Australia ’ s productivity surge

Productivity is not only the key to the performance of firms and industries; it is fundamental to the living standards of the general community. There is now general recognition that Australia experienced a transformation in its productivity record through the 1990s. The causes and industry origins of the productivity surge are perhaps less well known or accepted. A stream of recent Productivity Commission
Exemplar Method Based Image Inpainting

Image Inpainting, (generally known as image completion), is the technique to fill holes in an image. The challenge of image inpainting is how to fill the hole in a visually plausible way. The success of structure propagation is highly dependent on the order in which the filling proceeds. Hence, the authors have proposed a computationally efficient algorithm by a patch-based sampling process. Although the algorithm propagates the structure well and produces some amazing results, it still has difficulties when inpainting images where complex salient structures exist in the missing regions. Therefore, the user is allowed to manually specify the important missing structure information by extending a few curves or line segments from the known to the unknown regions. The curves or line segments would be treated as the constraints, and then the structure propagation is formulated as a global optimization problem.
Corporatism and capital accumulation

An extensive literature has examined whether corporatist national wage bargaining systems can deliver superior economic performance, but this has mostly focused on short run indicators. Such systems of industrial relations could provide incentives for investment if organized labour can credibly pre-commit to wage moderation. This paper examines this, building on monopoly union models that indicate the response of corporatist wage bargaining arrangements to investment. The paper estimates the response of wage bargaining to capital investment, conditional on outside options, in six key economies widely characterized as having sustained corporatist bargaining arrangements over 1970-2017. The econometric approach allows changes in regimes to be determined endogenously; these shifts appear consistent with wider evidence on changes in bargaining arrangements and financial integration of these economies.
Data mining based cyberattack detection

Detecting cyber-attacks undoubtedly has become a big data problem. This paper presents a tutorial on data mining based cyber-attack detection. First, a data driven defence framework is presented in terms of cyber security situational awareness. Then, the process of data mining based cyber-attack detection is discussed. Next, a multi-loop learning architecture is presented for data mining based cyber-attack detection. Finally, common data mining techniques for cyber-attack detection are discussed.
The BAH domain of Rsc 2 is a histone H 3 binding domain

Bromo-adjacent homology (BAH) domains are commonly found in chromatin-associated proteins and fall into two classes; Remodels the Structure of Chromatin (RSC)-like or Sir3-like. Although Sir3like BAH domains bind nucleosomes, the binding partners of RSC-like BAH domains are currently unknown. The Rsc2 subunit of the RSC chromatin remodeling complex contains an RSC-like BAH domain and, like the Sir3-like BAH domains, we find Rsc2 BAH also interacts with nucleosomes. However, unlike Sir3-like BAH domains, we find that Rsc2 BAH can bind to recombinant purified H3 in vitro, suggesting that the mechanism of nucleosome binding is not conserved. To gain insight into the Rsc2 BAH domain, we determined its crystal structure at 2.4 Å resolution. We find that it differs substantially from Sir3-like BAH domains and lacks the motifs in these domains known to be critical for making contacts with histones. We then go on to identify a novel motif in Rsc2 BAH that is critical for efficient H3 binding in vitro and show that mutation of this motif results in defective Rsc2 function in vivo. Moreover, we find this interaction is conserved across Rsc2-related proteins. These data uncover a binding target of the Rsc2 family of BAH domains and identify a novel motif that mediates this interaction.
List of potential reviewers

Abstract: An extensive experimental work is reported that aims to assess the efficiency in manganese (Mn) removal from aqueous solution by carbonyl iron microparticles using magnetic separation techniques. A set of batch experiments are performed to explore the effect of pH, adsorbent concentration, surface coating and contact time for achieving the highest Mn removal efficiency. Mn removal efficiency is extremely high (> 98%) for pH values larger than 9 as a result of the chemisorption of Mn oxides onto magnetic microparticles. In contrast, Mn removal efficiency for pH < 9 was significantly reduced as Mn remains as a soluble cation. In this manuscript we demonstrate that the efficiency clearly increases when increasing the adsorbent concentration and when using MnOx(s) coated magnetic particles instead of bare particles. Desorption rates from Mn-loaded magnetic particles at different pHs were always lower than 15%. Furthermore, Mn removal efficiency remained at a very high value (> 95%) when reused particles where employed in the adsorption process
A study on sequential iterative learning for overcoming catastrophic forgetting phenomenon of artificial neural network 1

Currently, artificial neural networks perform well for a single task, but NN have the problem of forgetting previous learning by learning other kinds of tasks. This is called catastrophic forgetting. To use of artificial neural networks in general purpose this should be solved. There are many efforts to overcome catastrophic forgetting. However, even though there was a lot of effort, it did not completely overcome the catastrophic forgetting. In this paper, we propose sequential iterative learning using core concepts used in elastic weight consolidation (EWC). The experiment was performed to reproduce catastrophic forgetting phenomenon using EMNIST data set which extended MNIST, which is widely used for artificial neural network learning, and overcome it through sequential iterative learning.
Male Infertility: A Guide for the Clinician

Anne M Jequier Blackwell Science, £79.50, pp 384, ISBN 0 632 0512 9 Rating: ! [Graphic][1] ! [Graphic][2] ! [Graphic][3] ! [][4] As a result of the rapid development of in vitro fertilisation for treating both male and female infertility, male infertility has become just as important for a consultant gynaecologist assessing an infertile couple as it has for a specialist andrologist. Consequently, the detailed and intricate tests that consultant andrologists developed to identify the cause of … [1]: /embed/inline-graphic-1.gif [2]: /embed/inline-graphic-2.gif [3]: /embed/inline-graphic-3.gif [4]: /embed/graphic-1.gif
A Comparison of Emotional Neural Network (ENN) and Artificial Neural Network (ANN) Approach for Rainfall-Runoff Modelling

Reliable method of rainfall-runoff modeling is a prerequisite for proper management and mitigation of extreme events such as floods. The objective of this paper is to contrasts the hydrological execution of Emotional Neural Network (ENN) and Artificial Neural Network (ANN) for modelling rainfall-runoff in the Sone Command, Bihar as this area experiences flood due to heavy rainfall. ENN is a modified version of ANN as it includes neural parameters which enhance the network learning process. Selection of inputs is a crucial task for rainfall-runoff model. This paper utilizes cross correlation analysis for the selection of potential predictors. Three sets of input data: Set 1, Set 2 and Set 3 have been prepared using weather and discharge data of 2 raingauge stations and 1 discharge station located in the command for the period 1986-2014. Principal Component Analysis (PCA) has then been performed on the selected data sets for selection of data sets showing principal tendencies. The data sets obtained after PCA have then been used in the model development of ENN and ANN models. Performance indices were performed for the developed model for three data sets. The results obtained from Set 2 showed that ENN with R= 0.933, R2 = 0.870, Nash Sutcliffe = 0.8689, RMSE = 276.1359 and Relative Peak Error = 0.00879 outperforms ANN in simulating the discharge. Therefore, ENN model is suggested as a better model for rainfall-runoff discharge in the Sone command, Bihar.
Self‐directed (distance) learning infectious disease control MPH program

Purpose – The purpose of this paper is to confirm what program features potential students would view as incentives or disincentives toward enrolling in a unique self‐directed (distance) learning infectious disease control MPH (Master of Public Health) program currently being developed.Design/methodology/approach – An internet discussion list announcement invited infection control professionals to participate in structured telephone interviews. This pilot study survey was conducted to confirm underlying assumptions about program features that might be viewed as incentives or disincentives by prospective students.Findings – Responses were received from all regions of the USA except Alaska. Findings from 78 interviews confirm our underlying assumptions about delivery preferences, critical features, perceived value and reasonable cost for a self‐directed (distance) learning Infectious Disease Control MPH degree. Respondents clearly expressed a preference for distance education, but exhibited lack of familiar.
Diagnostics of Complex Phenomena on the Basis of Geometrical Analysis Images

A review of the basic concepts shearlet transform spatial data observations. The possibilities of the new approach for the geometric analysis of complex medical images. The proposed method can improve the radiological diagnosis of urological diseases by detailing changes of tissues. On the basis of the developed method of spectral data decomposition is performed solution of filtration problem and isolating contour studied medical target. The task of image contrast is also solved for the better understanding of the found geometric features and patterns.
Termination in a π-calculus with Subtyping Ioana Cristescu

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Termination in a Pi-calculus with Subtyping Ioana Cristescu, Daniel Hirschkoff
Based on user demand depth-driven personalized recommendation algorithm

As the rapid development of the Internet, Online Shopping slowly became a kind of contemporary consumption habits of people. However, the huge amount of data on the Internet results in information overload and other issues. Given Recommended has considerable social value and economic value, personalized recommendation attracts more and more scholars to study, and a large number of recommendation algorithms emerge. The current recommendation algorithms are: (1) recommendation algorithm based content [1], (2) recommendation algorithm based on bipartite graphs [2], (3) collaborative filtering recommendation algorithm [3]. This paper presents a based on user demand depth-driven personalized recommendation algorithm. In this algorithm, we classify the user by user behaviors. The data sparse [4] and cold start problems [4] could be solved validly. At the same time, we combined industry knowledge with horizontal recommend and vertical recommend in order to improve accuracy of recommend algorithm.
Improving pain management through addition of the functional activity score

Objective This study investigated the benefits of adding a new measurement tool, the Functional Activity Score to a validated measurement tool, the Numeric Rating Scale. Design Prospective cohort comparing cases (with intervention) to controls (usual care). Setting Inpatients from a Chinese Mainland teaching hospital. Subjects Eighty three postoperative patients of mixed gender and Chinese ethnicity. Interventions Adding Functional Activity score, a subjective observer assessed pain measurement tool, to usual postoperative pain intensity assessment. Main outcome measures Median 24 hour dynamic pain rating intensity. Episodes of moderate to severe pain. Results Median 24 hour dynamic numeric rating pain postoperative pain intensity rating with cough 3 [2.25, 3.75] versus 6 [5, 7] (p< 0.001), and at rest 0 [0,0] versus 2 [0,3] (p < 0.001) were both significantly lower in the intervention group versus the control group. The intervention group also experienced significantly less episodes of moderate to severe pain (p=0.02) and reported significantly less cough related interference with pain (p=0.003). Conclusion Functional activity score is easy to teach and apply, complements existing objective pain assessment after surgery and is beneficial for patient care.
Survival of Earth Worm in Crude Oil Contaminated Soil

Crude oil contains a wide range of compounds which are largely toxic to humans and the environment.Bioremediation is a waste management technique that consists the use of organisms to eliminate or neutralize pollutants from a contaminated site. Eiseniafetida, the most widely used earthworm for vermicomposting and waste reduction.The physical parameters pH, EC and biochemical parameters and total TPH were analysed in the normal and crude oil contaminated soil.The soil samples were contaminated with various concentrations of crude oil (10, 20, 30, 40, 50,100 and150 g per kg of soil). Ten earthworm (Eiseniafetida) was introduced into the containers and the weight of each test container was recorded. At intervals of time (after every 5 days), the number of living earthworms in each container was recorded. As the result the increased survival was observed in 10,20,30,40 g of crude oil contaminated soil than 50,100,150 g contaminated soil. The result showed that the Eiseniafetida has the ability to survive at the concentration of 10, 20, 30, 40gm of crude oil concentration.
Economic Development and the Evolution of Internal Migration

This paper uses Demographic and Health surveys to estimate internal migration between and within rural and urban areas for 31 countries at different stages of development. The methodological approach is to estimate migration transition matrices indicating the shares of the population (by gender) that move or stay in rural and urban areas over three periods (childhood and two forward periods). Results indicate that rural-to-rural migration is the dominant form of migration in many countries in sub-Saharan Africa and South Asia that are still relatively less developed. For countries that have already undertaken the path of structural transformation, rural-to-urban migration is greater than intra-rural migration. Sizeable urban to rural migration flows are found in many countries, with rural returnees often contributing substantially to these urban-to-rural flows, which has implications for development options in both rural and urban areas. Return migration to rural areas is particularly large in countries in relatively early phases of development, and higher for males than for females. For the sample of countries in sub-Saharan Africa, on average 61 percent of males and 34 percent of females migrating from urban-to-rural areas are return migrants who lived in rural areas as children. The analysis also confirms anecdotal evidence that migrants move in several steps: in the overall sample of countries, at least 41 percent of males and 36 percent of females who move once will move a second time (or more). Internal migration patterns vary considerably according to gender in some regions of the world; however, in countries that are further along the path of structural transformation, and particularly urbanization, the magnitude of migration flows appears to be similar across genders.
Derive Precipitation Effectiveness Indices as Evidence of Climate Change and Implications on Food Security in JOS South Local Government Area of Plateau State, Nigeria

The focus of this study is to examine changes in precipitation effectiveness indices to show evidence of climate change in Jos South Local Government Area of Plateau State. Fifty years’ daily Precipitation data (1966-2015) for Jos south LGA were used to derive six important Precipitation Effectiveness Indices: onset, cessation and length of rainy season, annual rainfall, rainfall amount in months of growing season (April to October) and occurrence of pentad dry spells (5, 10 and ≥15days). The derived indices were subjected to time series analysis to determine the trend in their occurrences in the face of the current global climate change. Trend lines and linear trend line equations for each of the parameters were fitted to show the direction of change. Results of analysis showed that mean onset date was 15 of April while mean cessation date was 25 of September. This implies that the rainy season starts early in recent times while cessation dates arrive late. Consequently, the length of rainy season is long. This showed that the trend of onset and cessation dates and length of rainy season are characterized by marked variability. Additionally, long term mean rainfall was 1266.54 mm. Maximum rainfall occurred in 1969 (1720.3 mm) while the minimum was 814 mm in 1995. Results revealed more incidences of single pentad dry spells occurring all through the period compared to 10 and ≥ 15 consecutive dry spells. This implies that dry spells of 5 days were common while dry spells of 10 days and ≥15 consecutive days were fewer. This implies a decline in precipitation; its intensity, amount and duration in Jos South. These are all indications of climate change syndrome. It can be recommended that continuous data acquisition should be encouraged in areas where none existed, public enlightenment on the impacts of climate change, adopting new hybrids of short-duration crop varieties in cases of fluctuating trends, early planting and establishment of dam sites will minimize impacts of these changes on livelihood.
BLOCKING MISBEHAVING USERS IN ANONYMIZING NETWORKS USING NYMBLE

Nymble is a system that provides a blocking mechani sm to a server to protect it from misbehaving users connecting throug h anonymizing networks such as Tor. Anonymous blacklisting schemes allow o nline service providers to prevent future anonymous access by abusive users wh ile preserving the privacy of all anonymous users (both abusive and non-abusiv e). The first scheme proposed for this purpose was Nymble, an extremely efficient scheme based only on symmetric primitives; however, Nymble relie s on trusted third parties who can collude to de-anonymize users of the scheme . Two recently proposed schemes, Nymbler and Jack, reduce the trust placed in these third parties at the expense of using less-efficient asymmetric crypto p rimitives. We present ENymble, a scheme which matches the anonymity guara ntees of Nymbler and Jack while (nearly) maintaining the efficiency of t he original Nymble. The key insight of ENymble is that we can achieve the anony mity goals of these more recent schemes by replacing only the infrequent “Us er Registration" protocol from Nymble with asymmetric primitives. We prove th e security of ENymble, and report on its efficiency. International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) ISSN: 2249-6831 Vol.2, Issue 1 Mar 2012 104-114 © TJPRC Pvt. Ltd., Blocking Misbehaving users in Anonymizing Networks using Nymble 105
On-Chip Power Management by Digital PWM

The digital PWM modulator circuit is capable of varying the duty cycle of the output (PWM) according to the digital input word. A digitally controlled current starved pulse width modulator is described. The current from the power grid to the ring oscillator is controlled by a header circuit. By changing the header current, the pulse width of the switching signal generated at the output of the ring oscillator is dynamically controlled, permitting the duty cycle to vary between 25% and 90%. A duty cycle to voltage converter is used to ensure the accuracy of the system under process, voltage and temperature (PVT) variations. A ring oscillator with two header circuits is proposed to control both duty cycle and frequency of the operation. Analytic closed form expressions for the operation of a PWM are provided. The proposed PWM is appropriate for dynamic voltage scaling systems due to the small on-chip area and high accuracy under PVT variations. The header circuit controls the amount of current delivered to the pMOS transistors within the ring oscillator. This header circuit provides a high granularity duty cycle. It provides a duty cycle in constant frequency. Here digital to analog converter using digital pulse width modulator is designed.
The Hypertopia Option

The Hypertopia Option, described here, uses the inherent connectivity of the land biota to combat the anthropogenic accumulation of carbon dioxide in the atmosphere. The crux of the proposal is that we must soon establish new towns (Hypertopias) in arid and marginal land areas, with inhabitants hand-nurturing nascent forests until these are sufficiently established to be self-sustaining. Irrigation will be required to initiate Hypertopias, but the need for irrigation will decrease once the Hypertopias are established due to enhancement of rainfall as a function of aforestation. Close attention to and encouragement of hypermarine (that is, associated with Hypersea) symbioses between vascular plants and mycorrhizal fungi will enhance efforts at reforestation. Hypersea theory maintains that the establishment of the land biota in the middle Paleozoic was dependent on such symbioses. Hypertopias will induce localized reestablishment of the land biota, simultaneously generating favorable human habitats, with local economies initially based on caring for the newly established plants, later transitioning to economies based on foods and other forest products that can move us away from plastics and other environmentally deleterious materials. Carefully sited and maintained, Hypertopias promise to rapidly absorb carbon dioxide, leading us to a regime of sustainable and favorable climate.
Laser Ranging with FPGA Closed-Loop Control

A laser ranging system (Lidar), based on the frequency-modulated continuous-wave (FMCW) method is built. It consists of a DFB laser and an asymmetric Mach-Zehnder interferometer. Linear tuning of the laser frequency via current modulation creates a beat signal at the interferometer output. The frequency of the beat signal is proportional to the optical path difference in the interferometer. Since the laser frequency-to-current response is nonlinear, a closed-loop feed-back system is designed to improve the tuning linearity, and consequently the measurement resolution. For fast active control, an embedded system with FPGA is used, resulting in a nearly linear frequency tuning, realizing a narrow peak in the Fourier spectrum of the beat signal. For free-space measurements, a complete system with an additional Michelson interferometer is built.
A Tree Representation for P 4-Sparse Graphs

This Article is brought to you for free and open access by the Computer Science at ODU Digital Commons. It has been accepted for inclusion in Computer Science Faculty Publications by an authorized administrator of ODU Digital Commons. For more information, please contact digitalcommons@odu.edu. Repository Citation Jamison, B. and Olariu, Stephan, "A Tree Representation for P4-Sparse Graphs" (1992). Computer Science Faculty Publications. 124. https://digitalcommons.odu.edu/computerscience_fac_pubs/124