Miracle-dz/UniFAR-FTUs huggingface dataset:
Immigrants Services in Auburn Local Government Area in Australia

Australia is predominantly an immigrant country with the exception of a low proportion of the original people of the land, the Aborigines and Torres Strait Landers. Since the first settlement of the European white people mainly from the United Kingdom (UK) in 1778, a continued flow of people from Europe and subsequently from other parts of the world have formed the vast majority of the current population of Australia; making Australia as one of the most diverse and multi-cultural countries of the world. Generally speaking the white immigrants mainly from the UK is considered as the main stream Australians and others as the people of ethnic origins.
Random forests: a sensitivity analysis perspective

: Random forests. Random forests (Breiman, 2001) are an ensemble learning algorithm, which aggregates a large number of trees to perform regression and classiﬁcation tasks, and achieve state-of-the-art accuracy on a wide range of problems. However, they suﬀer from a major drawback: a given prediction is generated through a large number of operations, typically ten thousands, which makes the interpretation of the prediction mechanism impossible. This black-box nature is a strong practical limitation, in particular for applications involving critical decisions: healthcare or the optimization of manufacturing processes are typical examples. The most popular way to interpret random forests is variable importance analysis: input variables are ranked by decreasing order of their importance in the prediction process. Thus, speciﬁc variable importance measures were developed along with random forests, and the MDA (Breiman, 2001, Mean Decrease Acccuracy) is the most widely used one. The MDA measures the decrease of accuracy when the values of a given input variable are permuted, thus breaking its relation to the output: a high value of the metric means that the variable is used in many important operations of the prediction mechanism of the forest. Unfortunately, there is no precise and rigorous interpretation since the MDA deﬁnition is purely empirical. Our objective is to use sensitivity analysis to unveil the theoretical properties of the MDA, and introduce the Sobol-MDA algorithm which ﬁxes the ﬂaws of the original MDA. Sensitivity analysis. The goal of sensitivity analysis is to apportion the uncertainty of a system output to the uncertainty of the diﬀerent inputs. In particular, GSA introduces well-deﬁned importance measures of input contributions to
University of Birmingham Responses to cytokine inhibitors associate with cellular composition in models of immune-mediated inflammatory arthritis

• Users may freely distribute the URL that is used to identify this publication. • Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. • User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (? ) • Users may not further distribute the material nor use it for the purposes of commercial gain.
A prospective study on functional outcome of distal tibial fracture fixation with locking compression plate using minimally invasive percutaneous osteosynthesis technique

Introduction: Treatment of distal tibia fractures is challenging because of its subcutaneous location, poor vascularity and limited soft tissue envelope. Various modalities of surgical treatment such as Intramedullary nailing, Open reduction and internal fixation with conventional plate osteosynthesis and external fixation have reported good functional outcome but had high complication rate. The newer technique of distal tibia fracture fixation with Minimally invasive plate osteosynthesis (MIPO) using Locking compressing Plates (LCP) has emerged as an alternative treatment option because it involves less soft tissue handling, minimal periosteal stripping resulting in low infection rate, faster healing and it respects biology of distal tibia and also provides biomechanically stable construct.Aim: To assess the functional role of locking compression plates in treatment of distal tibial fractures using minimally invasive percutaneous osteosynthesis technique.Materials and Methods: In this study, 30 patients with distal 1/3rd tibia extra articular fractures (AO type 43A1, 43A2, 43A3) with or without associated fibula fractures were treated with LCPs using MIPO technique. The present prospective study was conducted in Department of Orthopaedics, Geetanjali medical college and hospital, Udaipur between January 2019- May 2020.Results: All fractures had excellent clinical and functional outcome, the fractures were stabilized by LCP using MIPO technique with an average operative time of 48.16 minutes. The age of the patients ranged from 20 to 76 years with the fracture being most common in the 3rd and 4th decade. Out of 30 patients, 21 (70%) patients were males and 9 (30%) patients were females showing male preponderance. Functional outcome evaluation was done using American Orthopaedic Foot and Ankle Society (AOFAS) score. At the end of this study, 21 (70%) patients had excellent outcome, 08 (26.66%) had good results, 01 (3.33%) had fair outcome and no patient had poor functional outcome. None of the cases had implant failure or any significant deformity.Conclusion: The present study shows that MIPO technique using LCP proves to be most effective and safer technique in the management of distal tibial fractures with or without intra-articular comminution by providing good fracture healing, enabling rapid functional recovery and avoiding major complications.
PENGARUH JENIS PELARUT TERHADAP RENDEMEN DAN AKTIVITAS ANTIOKSIDAN DALAM EKSTRAK MINYAK BEKATUL PADI (RICE BRAN OIL)

Abstract: Bran rice is a by-product of rice milling which only used as cattle feed. Utilization of bran rice to take rice bran oil will increase its economic value. Rice bran oil contains natural antioxidants -oryzanol and fatty acids. Antioxidants -oryzanol are more powerful than vitamin E to avoid free radical damage. One way to recovery rice bran oil is extraction using volatile solvents. The effects of solvent type to yield of rice bran oil and antioxidant activity of rice bran oil need to be researched. This study started with the process of stabilization of bran to inhibit lipase activity. Next process was extraction of bran oil using n-hexane, ethyl acetate, and ethanol as the solvent. The next step was evaluation the acid number and antioxidant activity of obtained oil with DPPH (2,2-diphenyl-1-picrylhydrazyl) method. The results showed that the yields of oil were affected by solvent polarity compounds. Highest yield was obtained on extraction using ethanol and the yield was 12.553%, 14.105% and 17.431%. Acid test showed that extraction using ethyl acetate produced oil with smallest acid number (79.662 and 90.882)and test of antioxidant activity showed that extraction with ethanol was potential as antioxidants which value of IC 50 were 46.79% and 47.29%. Keywords: bran, extraction, solvent type, antioxidants, DPPH
TheLKniversity of Western Australia

This paper presents a new framework for evaluating the producer benefits from price stabilisation schemes. The methodology includes formulae for explicitly characterising the floor price feature typical of such schemes. This methodology is applied to an analysis of the Australian Wool Corporation's (AWC) Reserve Price Scheme (RPS) for wool. Using post intervention data to generate values of ex ante (unstabilised) and ex post (stabilised) price variability, results indicate that the coefficient of variation of wool prices has declined in response to the operation of the RPS by 41 per cent. A large decrease in price instability from historical levels to the level estimated in this paper is also observed. It is suggested that some of this reduction in price instability may be attributed to an existence effect of the RPS. As a consequence, ignoring this existence effect may lead to an understatement of the benefits from price stabilisation.
Obligatory Contour Principle and Minimalist Syntax

This article argues that the Obligatory Contour Principle (OCP) in phonology works as an output condition on syntactic structure, which is assumed to be asymmetric in the minimalist syntax (Kayne 1994). I propose a phonological constraint OCP Stress and a stress assignment rule Set Stress, which filter out unacceptable symmetric structures. It is also argued that this analysis has interesting consequences for problems of First Merge and phases.
Exploring Perinatal Death Characteristics At Dr. Soetomo General Hospital, Surabaya From 2014 To 2015

Introduction: There are several risk factors for perinatal death. This study aimed to explore the characteristics of perinatal mortality at Dr. Soetomo General Hospital, Surabaya from 2014 to 2015. Methods: This was a descriptive study. Maternal and perinatal data were taken from the medical records. Results: The total perinatal death was 285 cases of all deliveries at Dr. Soetomo General Hospital, Surabaya in 2014-2015. Most women were in maternal age of 17-34 years. The maternal education was mostly high school, and most mothers were unemployed. More than a half of maternal parity was multigravida (63.5%), and the gestational age was preterm or under-month gestation at 81.4%. Most infants (73.3%) had low birth weight, and most cases were born vaginally. The majority of cases were non-booked case (NBC). Most of perinatal mortality was caused by prematurity followed by asphyxia, and the maternal factor was preeclampsia/eclampsia. Conclusion: Perinatal deaths mostly occurred in postnatal with the main causes of prematurity and asphyxia and the maternal factor was preeclampsia/eclampsia.
A Detailed Review Study of Zinc Involvement in Animal, Plant and Human Nutrition

This present review critically discusses the detailed study of zinc (Zn) involvement in animal, plant and human nutrition. The status of micronutrients in food is unquestionable. Among all micronutrients, Zn is a vital component whose importance to nutrition is gradually more valued, and shortage may play a prominent role in the appearance of the disease. It is a crucial micronutrient for the development of living thing (animal, plant and human) and its absence persuaded poor outcome with increases the severity and possibility of a range of infections and constrained the physical growth in animal, plant and human. The Zn is essential for synthesizing many coenzymes, with three prominent biotic roles, structural, regulatory, and catalyst. Zn is also a necessary element of gene manifestation. In both agriculture and industry, Zn is widely used as fertilizers and in handling other metals as fortification against oxidization. Furthermore, Zn is involved in various physical functions; its insufficient quantity will decrease crop yield. It can also reduce the deadly effect of pollutants in plants by increasing the photosynthesis rate and decreasing oxidative anxiety. Zn also provides resistance to crop against water-deficient conditions.
Efficiency-Market Hypothesis: case of Tunisian and 6 Asian stock markets

In this paper we test the weak form of the Efficient-Market Hypothesis (EMH) using monthly data of stock prices for the period from 2010M01 to 2019M07 for seven markets (Tunindex) in Tunisia and 6 Asian countries : Saudi Arabia (TSAI), Japon (Nikkei 225), China (SSEC), Turkey (BIST100), India (BSE30), and Indonesia (JKSE) by using linear and nonlinear (KSS and Modified KSS) unit root tests. Our empirical results indicate that the stock markets are efficient [not efficient] in the weak form of EMH in Tunisia and Saudi Arabia [Japan, Turkey, India, Indonesia, and China]. The major policy implications is that in these five countries (Japan, Turkey, India, Indonesia, and China), fund managers and investors can enjoy excess returns to their investment.
Color Similarity Measures for Efficient Color Classification

We investigate the efficiency of color similarity measures in the context of color classification tasks. Color similarity measures are categorized into three major types: Point-type CSMs for classifying colors by absolutevalue, diffuse reflection component based CSMs for classifying "body colors" of object surfaces made of dielectric materials, and dichromatic reflection component based CSMs for classifying colors that include both the diffuse and the specular reflection component. First, the results of an evaluation of existing color similarity measures with regard to their ability to separate color classes using more than hundred test cases of the background-frame-differencing type are reported. It was found that especially two of the existing color similarity measures (S 7 and S 8 ) have good properties with respect to brightness, saturation and hue changes, and that they have a compact scalar field structure in RGB space. In addition, they have the largest margin for class separation. Second, we propose several new color similarity measures of the diffuse reflection component based color similarity type and report on the results of an evaluation regarding their class separation ability using more than 50 test images (for facial skin color classification). It was found that two color similarity measures (S 1 3 and S 1 4 ) perform best for separating color classes when the colors are treated as body color reflections. The properties of these measures with respect to brightness, saturation and hue changes are not perfect, but nonetheless reasonably good, and they have a compact scalar field structure in RGB space. Third, we propose a new color similarity measure of the dichromatic reflection component based type and discuss the problems associated with it. Finally, we introduce a shifted reference color similarity measure which can be used to compute the similarity between colors that may be the result of a systematic shift due to some physical phenomenon.
SLEEP APNEA AND ORAL HEALTH-UNFOLDING THE LINK

Snoring and obstructive sleep apnea are typically caused by complete or partial obstruction of an individual's pharyngeal airway during sleep. Usually airway obstruction results from the apposition of the rear portion of the tongue or soft palate with the posterior pharyngeal wall. Obstructive sleep apnea is a potentially lethal disorder in which breathing stops during sleep for 10 seconds or more, sometimes up to 300 times per night. Snoring occurs when the pharyngeal airway is partially obstructed, resulting in vibration of the oral tissues during respiration. These sleep disorders tend to become more severe as patients grow older, likely due to a progressive loss of muscle tone in the patient's throat and oral tissues. Habitual snoring and sleep apnea have been associated with other potentially serious medical conditions, such as hypertension, ischemic heart disease and strokes. Accordingly, early diagnosis and treatment is recommended. One surgical approach, known as uvulopalato-pharyngoplasty, involves removal of a portion of the soft palate to prevent closure of the pharyngeal airway during sleep. However, this operation is not always effective and may result in undesirable complications, such as nasal regurgitation.
Compiler-assisted object inlining with value fields

Object Oriented Programming has flourished in many areas ranging from web-oriented microservices, data processing, to databases. However, while representing domain entities as objects is appealing to developers, it leads to data fragmentation, resulting in high memory footprint and poor locality. To improve memory footprint and memory locality, embedding the payload of an object into another (object inlining) has been proposed, however, with severe limitations. We argue that object inlining is mostly useful to optimize objects in the application data-path and that such objects have value semantics, unlocking great potential for inlining objects. We propose value fields, an abstraction which allows fields to be marked as having value semantics. We take advantage of the closed-world assumption provided by GraalVM Native Image to implement Object inlining. Results show that using value fields requires minimal to no effort from developers and leads to improvements in throughput of up to 3x, memory footprint of up to 40%, and GC pause times of up to 35%.
Streptococcus agalactiae and genital ulcers in a heterosexual male

Streptococcus agalactiae (S. agalactiae) is a microorganism that asymptomatically colonizes the female genital and gastrointestinal tracts of humans. It produces infections in extreme ages of life and in pregnant women. The case of an adult male is presented, with frequent heterosexual intercourse with different partners. He consulted for itching and burning in the penis' glans. His partner had marked vaginal dryness as a result of early ovarian failure. The patient had ulcerative, non-painful, erythematous lesions with raised edges and little yellow-green discharge. No Donovan bodies were found in the discharge smear and the culture was positive for S. agalactiae. His asymptomatic partner had negative microbiological tests. Both with negative serologies for Chlamydia, HIV and syphilis. No information was obtained from other sexual contacts. It cannot be ascertained that it was a venereal event, it is more likely that the injuries are related to repeated coital trauma.
Predicting delay in flights using Machine learning and Big Data

Delay of flight has been regarded as one of the toughest difficulties in aviation control. This study analyses data from The U.S. Department of Transportation's (DOT) Bureau of Transportation Statistics (BTS) and proposes a method to model the arriving flights and three different regression algorithms to predict delay, and checking its accuracy with certain parameters. The result testing shows that this method is convenient for calculation, and also can predict the flight delays effectively. It can provide a decision basis for airport authorities. The model aims to help the authorities to predict the flight delay in order to save as much as time of the customers and also the staffs. This model increases the accuracy of the prediction and also overcomes the limitation of large data processing.
STUDY O! AQUATIC PLA!T SPECIES (Salvinia natans, "eptunia oleracea and Hydrilla verticillata) AS PHYTOI!DICATOR FOR !UTRIE!T EXCESS

Aquatic plants are excellent phytoindicator because they respond to nutrients, light, toxic, contaminants, metals, herbicides, turbidity, water level change and salt. However, the negative impact of excessive nutrients on riverine and palustrine systems, estuaries and coastal waters give a serious global problem. Butrients that arise rapidly from expanding urban areas, agricultural and industrial activities caused a boom in aquatic plant growth. Due to the capabilities of aquatic plants to utilize large amounts of nitrogen and phosphorus and thus remove them from the water; the aim of the research is to study the potential of aquatic plant species to be used as phytoindicator for unhealthy environment such as polluted freshwater bodies. In this study, twenty samples of water were collected each from 3 different localities where Salvinia natans, Beptunia oleracea and Hydrilla verticillata were abundant and dominant. All the water samples were analyzed for nitrite, nitrate, ammonium and phosphate. H. verticillata was found to be the best phytoindicator for phosphate pollutant at highest level whereas S. natans and B. oleracea were observed to be useful phytoindicator for unhealthy environment in fresh water bodies for nitrogen and phosphate contaminants. Therefore, aquatic plant species can be fully utilized as an effective tool to detect excessive nutrients in water bodies that might otherwise be difficult to detect.
Perspective Multi-Player Games

Perspective games model multi-agent systems in which agents can view only the parts of the system that they own. Unlike the observation-based model of partial visibility, where uncertainty is longitudinal – agents partially observe the full history, uncertainty in perspective games is transverse – agents fully observe parts of the history. So far, researchers studied zero-sum two-player perspective games. There, the objective of one agent (the system) is to satisfy a given specification, and the objective of the second agent (the environment) is to fail the specification.We study richer and more realistic settings of perspective games. We consider games with more than two players, and distinguish between zero-sum games, where the objectives of the players form a partition of all possible behaviors, zero-sum games among coalitions, where agents in a coalition share their objectives but do not share their visibility, and non-zero-sum games, where each agent has her own objectives and is assumed to be rational rather than hostile. In the non-zero-sum setting, we are interested in stable outcomes of the game; in particular, Nash equilibria.We show that, as is the case with longitudinal uncertainty, transverse uncertainty leads to undecidability in settings with three or more players that include coalitions or non-zero-sum objectives. We then focus on two-player non-zero-sum perspective games. There, finding and reasoning about stable outcomes is decidable, and in fact, unlike the case with longitudinal uncertainty, can be done in the same complexity as in games with full visibility. In particular, we study rational synthesis in the perspective setting, where the goal is to generate systems that satisfy their specification when interacting with rational environments. Our study includes Boolean objectives given by automata or LTL formulas, as well as a multi-valued setting, where the objectives are ${\text{LTL}}\left[ {\mathcal{F}} \right]$ formulas with satisfaction values in [0, 1], and the agents aim to maximize the satisfaction value of their objectives.
Risk Aversion Relates to Cognitive Ability: Fact or Fiction?

Recent experimental studies suggest that risk aversion is negatively related to cognitive ability. In this paper we report evidence that this relation might be spurious. We recruit a large subject pool drawn from the general Danish population for our experiment. By presenting subjects with choice tasks that vary the bias induced by random choices, we are able to generate both negative and positive correlations between risk aversion and cognitive ability. Structural estimation allowing for heterogeneity of noise yields no significant relation between risk aversion and cognitive ability. Our results suggest that cognitive ability is related to random decision making, rather than to risk preferences.