Miracle-dz/UniFAR-FTUs huggingface dataset:
Niche Strategies for Small Regional Cities: A Case Study of The Bendigo Chinese Heritage Precinct Plan

Abstract Much of the focus of destination planning research to date has been on major cities, often with populations of one million or more. There is however a growing emphasis on planning for the sustainable development of cities outside the larger metropolitan hubs, with a view to attracting tourists and building liveable communities. The challenge for these regional places is to reinvent themselves and create new destination images, while maintaining a high quality of life for residents. The case study of Bendigo (an inland regional city in central Victoria, Australia, with a population of nearly 100,000) illustrates some of the issues that these destinations need to grapple with in connection with tourism planning. The discovery of a Chinese kiln dating back to the gold rushes of the 19th century became a catalyst for the local government council to develop a marketing and interpretation plan for a Chinese Heritage Precinct, encompassing various heritage assets with a Chinese association. This case study examines both the process and outcomes of this strategic plan. The article highlights the need for planning processes that emphasize the importance of engaging with a diverse group of stakeholders, including government, community organizations and private interests, to gain their input into and support of the process. It also explores the benefits of using an external research team to assist the destination with gaining a deeper understanding of its tourism potential, including key markets and prioritization of limited resources for tourism development.
Linear algorithms to recognize interval graphs and test for the consecutive ones property

A matrix of zeroes and ones is said to have the consecutive ones property if there is a permutation of its rows such that the ones in each column appear consecutively. This paper develops a data structure which may be used to test a matrix for the consecutive ones property, and produce the desired permutation of the rows, in linear time. One application of the consecutive ones property is in recognizing interval graphs. A graph is an interval graph if there exists a 1-1 correspondence between its vertices and a set of intervals on the real line such that two vertices are adjacent if and only if the corresponding intervals have a nonempty intersection. Fulkerson and Gross have characterized interval graphs as those for which the clique versus vertex incidence matrix has the consecutive ones property. In testing this particular matrix for the consecutive ones property we may process the columns in a special order to simplify the algorithm. This yields the interval graph recognition algorithm which is presented in section 2; section 3 indicates how this algorithm may be extended to the general consecutive ones problem.
Developing the Talents of African American Male Students during the Nonschool Hours

This article presents information that speaks of the disparity in academic achievement between African American males and other ethnic groups, male and female alike. It also shows how after-school programs could provide services that would address and decrease some of these disparities. The article is divided into three sections. The first section addresses policy issues affecting the targeted population. The second section presents four programs that have successfully improved the academic achievement of minority students. The four programs profiled in this article are generally offered during the nonschool hours. The third section addresses additional ways in which after-school programs can develop the talents of males above and beyond academic achievement.
Stability and transparency analysis of a haptic feedback controller for medical applications

This paper presents the performance analysis of a haptic feedback teleoperation system for robotic-assisted surgery. Through a haptic device, the surgeon tele-operates the medical instrument, fixed on a remote robot that may evolve in free space or in contact. In free space, the surgeon feels the motion of the robot. When contact with tissues occurs, an on-line environment stiffness estimation is performed using an extended Kalman filter with robot modeling error compensation and without considering the contact position. The quality of the telepresence will depend on this estimation. Based on the stability and transparency frequency analysis, the estimated parameter is used to tune the teleoperation scheme and to improve telepresence. The improvement is based on the stability of the haptic feedback teleoperation scheme new rearrangement in which we distinguish between voluntary and involuntary operator positions.
Authenticated resource management in delay-tolerant networks using proxy signatures

In Delay-Tolerant Networks (DTN), individual nodes with much higher rates of sending new bundles than average can degrade the delivery rate of other nodes substantially. They have a much higher impact on the overall network fairness than in traditional networks because of DTN - specific properties, such as decentralized design and the store-and-forward approach. Authenticated resource management schemes were proposed to guarantee minimum delivery rates in the presence of nodes with high resource utilization as well as in the presence of malicious nodes performing Denial-of-Service (DoS) attacks. They partition the buffer adaptively based on the source node identifier of incoming bundles, which is cryptographically authenticated by the network. We extend such approaches by using a cryptographic primitive named proxy signature. Our method allows treating a bundle not only based on its source node. Instead, a combined affiliation of the source node together with the requesting node can be used which allows for better support of important communication patterns such as request-response. Our method can improve the overall fairness and is similar to a reverse charge call in telephone networks, as the requesting node “pays” for the response by allowing it to also use buffer space normally assigned to itself. We evaluate our approach using simulations in different scenarios.
Ca2+ and lipid signals hold hands at endoplasmic reticulum–plasma membrane contact sites

Discovery of the STIM1 and Orai proteins as the principal components of store‐operated Ca2+ entry has drawn attention to contact sites between the endoplasmic reticulum (ER) and the plasma membrane (PM). Such contacts between adjacent membranes of different cellular organelles, primarily between the mitochondria and the ER, had already been known as the sites where Ca2+ released from the ER can be efficiently channelled to the mitochondria and also where phosphatidylserine synthesis and transfer takes place. Recent studies have identified contact sites between virtually every organelle and the ER and the functional importance of these small specialized membrane domains is increasingly recognized. Most recent developments have highlighted the role of phosphatidylinositol 4‐phosphate gradients as critical determinants of the non‐vesicular transport of various lipids from the ER to other organelles such as the Golgi or PM. As we learn more about membrane contact sites it becomes apparent that Ca2+ is not only transported at these sites but also controls both the dynamics and the lipid transfer efficiency of these processes. Conversely, lipids are critical for regulating the Ca2+ entry process. This review will summarize some of the most exciting recent developments in this rapidly expanding research field.
Illusory trends in the observations of bar graphs

In this bar graph analysis, six variables were analyzed: horizontal or vertical mode of presentation, coarseness or fineness of the scale units, spacing distance between the bars, width of bars, bar length, and nearness or remoteness from the scale. The factors compared were equated either in identical comparisons or in groups where the factors and degrees were equated (but not in identical combinations of degrees). The probability of an illusory trend holding consistently was expressed in terms of its ratio to the sigma of the difference. Results reveal that the factors which should give the maximum amount of overestimation in combination are short bars, presented with wide spacing distances, coarse scale units, and narrow bars viewed vertically if the most important comparison is a long bar, and horizontally if it is short. The bar positions remote from the scale, also, give greater overestimation. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
ECG Signal Analysis and Classification using Data Mining and Artificial Neural Networks

— The analysis of the ECG can benefit in diagnosing most of the heart diseases. The electrocardiogram (ECG) provides almost all information about electrical activity of the heart. One cardiac cycle in an ECG consist of the P-QRS-T waves or segments. The ECG signal analysis and classification system gives overall idea about the diseases. In recent years, many research and methods have been proposed and developed for analyzing the ECG signal and extracting features such as amplitude and time intervals for classification of signals. This paper focuses on some of the techniques proposed earlier for the arrhythmia classification and extraction of parameters from the ECG signal which is used for data acquisition and classification system. This paper also gives the brief idea about the proposed work using Artificial Neural Networks (ANN) and data mining techniques using intelligent data miner software.
USE DATA MINING TO IMPROVE GENETIC ALGORITHM EFFICIENCY FOR A JOB SHOP SCHEDULING PROBLEM

This paper proposes a new improved Genetic Algorithm (GA) by utilizing a Data Mining technique, and demonstrates how it is superior to traditional GA on a popular job shop scheduling problem. GA has long been widely applied to solve complex optimization problems in a good variety of areas. It has advantages of adaptive capability, efficient search, potential to avoid local optimum, etc. In recent literature, researchers have proposed a good number of new GAs by combining basic GA with other techniques, such as heuristic rules, simulated annealing, neural networks, fuzzy sets, and so on, in order to improve the efficiency for various optimization problems. Data mining is a new evolving technology for knowledge extraction, classification, clustering, estimation, etc. The capability of finding frequent patterns in large data set is the key reason why it is integrated with GA in this research. Due to the fundamental concept of GA’s randomness during evolution, a traditional GA may become less efficient in search for optimum. By embedding the frequent schemata into the GA evolution process, the new improved GA could reduce the search time by preserving segments of good solutions without accidentally being lost due to random crossover or mutation. The proposed new GA was experimented on a popular 6x6 job shop scheduling problem. The results have shown its better efficiency than traditional GAs and potential for further research works.
Developments in the pharmacotherapeutic management of spontaneous preterm labor

Background: Preterm birth is the major cause of perinatal mortality and morbidity in the developed world. Objective: The aim of this study was to establish the importance of preterm birth and the huge healthcare costs involved and review the pathophysiology of preterm labor and the use of antepartum glucocorticoids, which are the main reason why tocolytics are used to prevent or delay preterm birth. The study also reviewed the range of tocolytics available, their mode of action and the evidence for their efficacy and fetomaternal safety. Methods: An extensive review of the literature using well-recognized and accepted scientific search engines was employed. Results/conclusions: The perfect tocolytic does not exist. The evidence to support the use of magnesium sulfate as a tocolytic is poor. The use of β-agonists is decreasing worldwide as clinicians move to nifedipine or atosiban, which are as effective but much safer. Although nifedipine is cheaper than atosiban and can be administered orally, the evidence to support atosiban is much superior to that of nifedipine and there have been recent safety concerns over nifedipine.
Multilead T-wave alternans quantification based on spatial filtering and the Laplacian likelihood ratio method

T-wave alternans (TWA) is considered as an index of susceptibility of sudden cardiac death. The Physionet/CinC challenge 2008 encourages teams to automatically detect and quantify the magnitude of TWA in every record of a given database. A reference ordering based on all entries submitted to the challenge is used for evaluation of algorithms. We participated in the challenge using a multilead analysis scheme that combines principal component analysis with the Laplacian likelihood ratio method. TWA was detected in 41 records, and a final score of 0.633 was obtained. In this study, the effect of several design parameters in the estimation of TWA amplitude is discussed, and the importance of measuring additional TWA parameters is emphasized.
Optimization of phenylhydrazine induced hyperbilirubinemia in experimental rabbit

Induction of hyperbilirubinemia in experimental rabbits by phenylhydrazine was optimized in terms of dose, dose interval and number of doses using response surface methodology. Central Composite Design was employed using five levels for each of the three input variables. Degree of hyperbilirubinemia was measured in terms of bilirubin level in serum of animals. A dose dependent significant elevation (P<0.05) of total serum bilirubin level was observed which was optimized by using eight factorial, six axial and six central points as suggested by experimental design. Optimum levels of phenylhydrazine dose, total number of doses and a dose interval to achieve maximum elevation (4.06 mg/dl−1) of total serum bilirubin were found to be 11.56 mg/kg−1 body weight, 8 and 24.65 h, respectively. The induction procedure was validated by performing five replicate experiments on a group of five animals which showed 3.56 ± 0.47 mg/kg−1 body weight elevation in total serum bilirubin level.
Recognition of isolated musical patterns using Context Dependent Dynamic Time Warping

This paper presents an efficient method for recognizing isolated musical patterns in a monophonic environment, using a novel extension of Dynamic Time Warping, which we call Context Dependent Dynamic Time Warping. Each pattern is converted into a sequence of frequency jumps by means of a fundamental frequency tracking algorithm, followed by a quantizer. The resulting sequence of frequency jumps is presented to the input of the recognizer which employs Context Dependent Dynamic Time Warping. The main characteristic of Context Dependent Dynamic Time Warping is that it exploits the correlation exhibited among adjacent frequency jumps of the feature sequence. The methodology has been tested in the context of Greek Traditional Music, which exhibits certain characteristics that make the classification task harder, when compared with Western musical tradition. A recognition rate higher than 95% was achieved.
Control of Erysiphe pisi Causing Powdery Mildew of Pea (Pisum sativum) by Cashewnut (Anacardium occidentale) Shell Extract

The effect of methanolic extract of cashewnut (Anacardium occidentale) shell extract was seen on conidial germination of Erysiphe pisi and powdery mildew development in pea (Pisum sativum). Maximum conidial germination inhibition of E. pisi on glass slides was observed at 300 ppm. Similar effect on floated pea leaves was observed after 48 h at the same concentration. Conidial germination on intact untreated pea leaves was also assessed on II and IV nodal leaves while IV and II nodal leaves were treated with the extract and vice versa. There was tremendous reduction in conidial germination on all the nodal leaves. The disease intensity of pea powdery mildew was significantly reduced by methanolic extract of cashewnut shells. Maximum reduction was observed with 200 ppm where 39% disease intensity was recorded in comparison to 96.53% in the control. The phenolic acid content of pea leaves following treatments with this extract varied and no definite pattern was observed. Out of several phenolic compounds, namely, gallic, ferulic, chlorogenic, and cinnamic acids, only gallic acid was found to be present consistently in all the treatments with varied amounts.
A multi-dimensional approach to measure the use of social media tools in accessing health information: a case study of Griffith University students, Queensland, Australia

This research explores perceived user satisfaction and the impact of students using Mobile Wireless Communication Technology (MWCT) and Social Media tools (SM) for accessing health information. It was specifically concerned with whether there was a spatial pattern based on students' location or other social characteristics. An online survey was designed and utilised to collect quantitative, qualitative and spatial data. This study is unique, as it provides multi-dimensional empirical evidence (i.e., quantitative, qualitative, and spatial evidence) that underlies and complements each other. Our findings indicate that there is some evidence of a pattern as to who uses these tools more extensively for accessing health information. For example, families with kids, people who live with partners etc. Proximity to campus was not found to be correlated, and no spatial structure was found in relation to the question: Who used or did not use MWCT to access health information? Therefore, this paper argues for the inclusion and expansion of health information utilising MWCT and SM tools amongst students, which, in turn, complements traditional methods to accessing health information. The study uses a multi-dimensional approach in obtaining empirical evidence. Utilising quantitative, qualitative, and spatial analysis, our analysis instruments are interweaved and complement each other. This also provides unique robustness to this study because of the variety of evidence provided. Potentially, the findings of this paper can be used by other organisations to promote the development of new approaches and the development of online tools to encourage the access of health information by university students. This, in turn, may play a positive role in their health status.
Protein Identification by Mass Spectrometry

During the past two decades, mass spectrometry has become established as the primary method for protein identification from complex mixtures of biological origin. This is largely attributable to the fortunate coincidence of instrumental advances that allow routine analysis of minute amounts (typically femtomoles) of involatile, polar compounds such as peptides in complex mixtures, with the rapid growth in genomic databases that are amenable to searching with MS data. Like many other developing fields in science, the creation of techniques and software tools and the initial generation and interpretation of data have been the domain of experts, people who are cognizant not only of the benefits of the methods but also of their actual and potential weaknesses. Now as mass spectrometric techniques and proteomic tools become increasingly available and accessible, a much broader range of researchers is applying the same methodology, often with substantially less understanding of the major limitations that critically affect the reliability and significance of the results. Ideally the mass spectrometry community should establish criteria for mass spectrometric identification of proteins that should be employed by researchers. As this remains a rapidly developing field with many different experimental approaches and different ways of searching and interpreting the data, it is difficult to promulgate hard and fast rules. Nevertheless Molecular and Cellular Proteomics is attempting to develop standards of acceptability for proteomics papers, based on emerging knowledge as well as on principles of biological MS established over the last 20 years by the MS community. Authors of proteomics papers employing mass spectrometry must make themselves fully aware of the key issues that are driving development of these guidelines. Hence the paper that follows attempts to highlight the strengths and weaknesses of the methods in current use. It is particularly important to realize that for any protein match returned from a database search, there is a non-zero probability that it will be wrong. Many times the quality of the data is such that the probability of a false positive can be disregarded, but in some cases the identifications returned by the search engines are very likely incorrect. Therefore it is unacceptable to simply list all the hits that come back from any search engine and then discuss their biological significance as though they were categorically correct. Peptide Analysis - Almost without exception, protein identification is based on the analysis of peptides generated by proteolyic digestion. The most widely used enzyme is trypsin, which hydrolyses the protein on the C-terminal side of lysine and arginine, unless the subsequent amino acid in the sequence is a proline. This is advantageous as every peptide other than the protein C-terminus has at least two sites for efficient protonation, the N-terminal amino group and
Empirical Formulas for the Impedance and Effective Dielectric Constant of Covered Microstrip for Use in the Computer-Aided Design of Microwave Integrated Circuits

Highly accurate and computationally efficient equations are presented for the characteristic impedance and the effective dielectric constant of both single and coupled microstrip with a top cover at a non-infinite distance above the substrate. Comparison is made with the results of Bryant and Weiss [1]. For both single and coupled micros trip, the effects of dispersion and finite conductor thickness are included in the algorithms.
Multilingualism and Children's Literature

my granddaughter loves both for its marvelous illustrations—as you will have noticed on the cover— and the pleasure she takes in the sounds of the dual narrative in Spanish and English. Overall, the articles and columns in this issue, as described below in Bettina’s Introduction, offer both survey and analyses of multilingual books for children and young adults around the world. I hope they serve to stimulate conversations about this important and burgeoning field, and I thank Bettina for her fine work in it and on this special issue. I hope you will enjoy it as well.
Determinants of moth diversity and community in a temperate mountain landscape: vegetation, topography, and seasonality

Macromoth diversity, abundance, and community structure in the topographically complex HJ Andrews Experimental Forest and LTER site was studied on the west slope of the Cascade Range, Oregon. Data on 493 macromoth species (62,221 individuals) was sampled eight times/year at 20 locations from 2004 to 2008 and examined using multivariate statistics and generalized additive models to determine the importance of topography and vegetation on moth community assembly and diversity. Significant differences exist between moth communities at lower and higher elevations. High-elevation moth communities are far more variable inter-annually, whether associated with high-elevation forests, meadows, or clearcuts. Low-elevation young and old gymnosperm forests and riparian forests are more stable and predictable communities having less inter-annual variability. High-elevation communities show more intra-annual variability than low-elevation communities. Low-elevation moth communities are more abundant than high-elevation.