Miracle-dz/UniFAR-FTUs huggingface dataset:
A Retrospective case-series of children with bone and joint infection from northern

Our clinical workload as infectious diseases pediatricians in northern Australia is dominated by complicated bone and joint infections in indigenous children. We reviewed the clinical presentation, microbiology, management, and outcomes of children presenting to Royal Darwin Hospital with bone and joint infections between 2010 and 2013, and aimed to compare severity and incidence with other populations worldwide. A retrospective audit was performed on children aged 0 to 18 years who were admitted to Royal Darwin Hospital between 1 January 2010 and 31 December 2013 with a bone and joint infection. Seventy-nine patients were identified, of whom 57 (72%) had osteomyelitis associated septic arthritis and 22 (28%) had septic arthritis alone. Sixty (76%) were indigenous Australians. The incidence rate of osteomyelitis for indigenous children was 82 per 100,000 children. Staphylococcus aureus was the confirmed pathogen in 43/79 (54%), of which 17/43 (40%) were methicillin resistant. Median length of stay was 17 days (interquartile range: 10–31 days) and median length of IV antibiotics was 15 days (interquartile range: 6–24 days). Fifty-six (71%) required at least 1 surgical procedure. Relapse within 12 months was documented in 12 (15%) patients. We report 3 key findings: osteomyelitis incidence in indigenous children of northern Australia is amongst the highest reported in the world; methicillin-resistant S aureus accounts for 36% of osteomyelitis with a positive microbiological diagnosis; and the severity of disease requires extended antibiotic therapy. Despite this, 15% of the cohort relapsed within 12 months and required readmission. (Medicine 95(8):e2885) Abbreviations: IQR = interquartile range, mMRSA = multiresistant methicillin-resistant Staphylococcus aureus, MRSA = methicillin-resistant Staphylococcus aureus, MSSA = herine S. Marshall P, MPH, and BS, FRACP, PhD = World Health Organization International Classification of
HR3AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing

RRAM based accelerators have been widely adopted in many neuromorphic designs. However, RRAM cells are sensitive to temperature, which changes RRAM’s conductance. Such heat-induced interference can significantly decrease the computational accuracy because values are functions of RRAM conductance. In this paper, we propose HR3 AM, a heat resilience design, which improves accuracy and optimizes the thermal distribution of RRAM based neural network accelerators. HR3 AM consists of two key mechanisms: bitwidth downgrading and tile pairing. Bitwidth downgrading re-represents weights by shifting the conductance to improve the network inference accuracy. Tile pairing matches hot crossbar units with pre-defined idle units to mitigate high-temperature issues. We evaluated HR3 AM on four real world neural network models. Results show that HR3 AM improves classification accuracy by up to 41.8% compared with current state-of-the-art designs. For thermal optimization, HR3AM effectively decreases the maximum temperature by 6.2K and average temperature by 6K.
TRANSFER OF HIGH MODULUS ASPHALT TECHNOLOGY TO SOUTH AFRICA

This paper presents the development of an interim guideline for the design of High Modulus Asphalt (HiMA) for bases. The procedure for the development of a trial blend is discussed, including the selection criteria for aggregates and binder and the choice of a grading curve. Like the original French method, the HiMA design guideline is performance orientated. Trial mixes are assessed based on the workability, durability, elastic modulus, resistance against permanent deformation and fatigue performance of the mix. Local criteria for these performance indicators were set by comparing the performance of a mix design against European and South African test methods. Structural analysis has shown that the use of HiMA may decrease the required base layer thickness by 30 percent. Damage models for the prediction of the rutting and fatigue performance are currently under development as part of the revision of the South African pavement design method. The guideline presented in the paper represents a complete method for the design of HiMA mixes using local test equipment. The guideline however, requires validation through accelerated pavement testing and field trials before it can be used with confidence by industry.
Mitigation Model to Improve Android Security

The popularity of mobile devices that run Android Operating System (OS) has gained many attackers’ attention to develop malicious applications to attack users’ phone. The growing amount of these applications leads other researchers to develop new techniques to defend against these attacks. In this paper, we propose a new method, which will check any application during the installation process. This method will prevent any application that has malware from being downloaded onto the user’s device. KeywordsAndroid; APK; application checker; malware.
Are M&S Tools Ready for Assessing Off-road Mobility of Autonomous Vehicles?

Autonomous systems are the future of the Army and Ground Vehicle Systems Center has aligned itself accordingly to support unmanned ground vehicle (UGV) development. Physically testing autonomous algorithms and vehicle systems can be expensive and time consuming, a problem addressed by the use of modeling and simulation (M&S) tools. A multitude of both Government owned and Commercial Offthe-Shelf Tools (COTS) are widely available, all claim to virtually evaluate autonomous ground vehicles operating on various environments and scenarios. Most of the COTS tools primarily focus on the commercial automotive industry where vehicles are driven in a structured environment. In this paper two M&S tools, viz., Autonomous Navigation Virtual Environment Laboratory (ANVEL) and Rover Analysis Modeling and Simulation (ROAMS) are evaluated for military applications, where the demands for navigation include both on-road and off-road, as well as both structured and unstructured environments as a preliminary benchmark. Citation: Michael Cole, Cesar Lucas, Kumar B Kulkarni, Daniel Carruth, Christopher Hudson, P. Jayakumar; “Are M&S Tools Ready for Assessing Off-road Mobility of Autonomous Vehicles? ”, Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 13-15, 2019.
Comparison of measured and simulated data with LHAASO-WCDA run data

LHAASO-WCDA has finished its first pool installation in the beginning of 2019. Since then the detector start to take test run data. Based on these data, a lot of update has been implemented in both detector simulation and reconstruction method. In this work, a lot of comparison between data and MC samples have been processed, some preliminary results, such as lateral distribution of air shower data , are shown.
Non-Destructive Testing of Structures Using Optical and Other Methods: a Review

Non-destructive testing (NDT) of structures is one of the most important tasks of the proper maintenance and diagnosis of machines and constructions structural condition. NDT methods contribute to the damage tolerance philosophy used in the aircraft design methodology as well as many other operation and maintenance programs of machinery and constructions. The following study is focusing on overviewing an important group of NDT methods: the optical and other ones, which found broad applicability in scientific and industrial studies nowadays. The paper discusses the selected most widely applicable methods, namely, visual testing, ultrasonic testing, radiographic testing, infrared thermography as well as electronic speckle pattern interferometry and shearographic testing. Besides the basic principles of testing using these methods, their potential applications in various industrial and technological branches are broadly discussed. The analysis as categorization of the NDT methods provided in this paper may help in selection of such methods in diagnosis of various types of structures and defects and damage occurring in these structures.
A Keyword Search Based Enhanced Spatially Inverted Index List For The Health Data Retrieval

Retrieval of medical information from the large datasets is one of the highly demanding and crucial task in recent days. So, various research works aimed to develop an Information Retrieval (IR) system for determining the health data. Still, it remains with the major limitations of inefficient data handling, reduced accuracy, and increased searching error. Thus, this research work aims to develop a keyword based IR system by implementing an Enhanced Spatially Inverted Index List (ESIIL). In this system, the medical dataset, namely, disease symptom knowledge database is taken for analysis, which is preprocessed at the initial stage by performing the stop words removal and stemming processes. After that, the Parts of Speech (POS) tagging is used to extract the keywords from the query. Then, the probability scores, namely, Term Frequency (TF) and Inverse Document Frequency (IDF) are computed based on the similarity attributes. Here, the leaf to root based order of search is implemented, which improves the retrieval efficiency of searching. Moreover, two types of information retrieval is performed in this work such as most exactly matching documents, and partially matching documents related to the given query. The major benefits of this mechanism are reduced searching error, increased efficiency, and large dataset handling. In experiments, the performance results of the existing and proposed mechanisms are evaluated by using various measures. Also, the superiority of the proposed ESIIL is proved by comparing it with the existing techniques.
Understanding Metaphors in Adverb-Noun Patterns in Mandarin Chinese

This study aims to deduce how people understand the “hen N” structure or an adverb-noun pattern in Mandarin Chinese from a cognitive perspective. The four terms for the seasons appearing in the “hen N” structure were collected from online news sources between 2013 and 2014 for investigation. It is suggested the comprehension of the “hen N” structure is based on metaphorical movement. The “hen N” structure can be viewed and explained as a grammatical metaphor (Halliday & Matthiessen, 2014) as well as a conceptual metaphor (Lakoff & Johnson, 2008). For comprehending “hen N” structures, context plays the key role for people’s selection of the optimal relevant information from their cognition (Kecskes, 2008; Sperber & Wilson, 1995; Tendahl & Gibbs, 2008). The study goes on to show how additional metaphors can join and influence the understanding of the “hen N” structure.
Factors Influencing Integration of Information and Communication Technology in Learning and Teaching in Public Secondary Schools : A Case of Trans Nzoia West Sub County , Trans Nzoia County , Kenya

This study aimed at examining factors influencing ICT integration in teaching and learning in public secondary schools in Trans Nzoia West Sub County. The main variables of the study were availability of ICT infrastructure, technical support, attitude and teachers’ competence in ICT. The study used descriptive survey research design since the researcher was interested in finding out the characteristics of the respondents as they were. The target population was all the public secondary schools in Trans Nzoia West Sub County, Trans Nzoia County. The target population included 57 principals and 342 heads of department. Ten percent was used as the determinant of the sample size. In that case the sample size was 5 principals and 34 HODs. The methods of data collection were interview schedule for principals and questionnaires for HODs. Observation was also used to check physical presence of ICT facilities. The computer programme, SPSS was used to enhance efficiency in the quantitative data analysis. Results of this data analysis were presented using frequency distribution tables. Qualitative data was analyzed qualitatively using content analysis of meanings and implications emanating from respondents’ information. The results were then reported in descriptive narratives. Regression analysis was done to determine the influence of the dependent variables on the independent variable. The three variables: availability of ICT infrastructure, teacher competence, and technical assistance were found to significantly influence integration of ICT in teaching and learning in the sampled schools. The study concluded that effective integration of technology into classroom practices poses a challenge to teachers. The factors that influenced integration of ICT were teacher competencies in ICT, institutional factors related to ICT infrastructure and technological factors. Teachers’ training, knowledge and skills in ICT influence their use of ICT in teaching and learning. In relation to ICT infrastructure, absence of ICT infrastructure, old or poorly maintained hardware, lack of suitable educational software; limited access to ICT ,lack of or unreliable internet connectivity were found to be hindering integration of ICT. In regard to technical support, this study established that most schools had no computer technicians. The study recommended that schools should develop strategies to identify strengths and weakness of various technological resources with a view to adopting ICT in the process of teaching and learning. The schools should source for partners to finance the acquisition of more ICT infrastructure and lessen the workload of teachers so as to enable them find time to learn and integrate ICT. The study further recommended schools to provide teachers with regular trainings and seminars on how to adopt ICT in the teaching and learning process, as well as adopt policies that guide structured integration of ICT in the process of teaching and learning.
Why did they post that argument? Communicative Intentions of Web 2.0 Arguments

The Web is an open platform where users are free to publish their own opinions, to discuss the latest news, to write reviews about a service or product. Given the growing number of online platforms allowing such interactions, it is becoming more and more important to support users in understanding the meaning of such conversations by identifying the context of the discourse, and the evidence and background knowledge required to evaluate the proposed arguments. In this paper, we suggest recording the rough context with communicative intentions to help classify arguments on the Web. We describe five communicative intentions: recreation, information, instruction, discussion, and recommendation. We suggest that this classification can help identify and analyze messages for the Argument Web. In particular, we discuss the suitable combinations of natural language processing techniques and argumentation-based reasoning to support users in understanding the discussions.
Exploiting Acceleration Features of LabVIEW platform for Real-Time GNSS Software Receiver Optimization

This paper presents the new generation of LabVIEW-based GPS receiver testbed that is based on National Instruments' (NI) LabVIEW (LV) platform in conjunction to C/C++ dynamic link libraries (DLL) used inside the platform for performance execution. This GPS receiver has been optimized for real-time operation and has been developed for fast prototyping and easiness on future additions and implementations to the system. The receiver DLLs are divided into three baseband modules: acquisition, tracking, and navigation. The openness of received baseband modules allows for extensive research topics such as signal quality improvement on GPS-denied areas, signal spoofing, and signal interferences. The hardware used in the system was chosen with an effort to achieve portability and mobility in the SDR receiver. Several acceleration factors that accomplish real-time operation and that are inherent to LabVIEW mechanisms, such as multithreading, parallelization and dedicated loop-structures, are discussed. The proposed SDR also exploits C/C++ optimization techniques for single-instruction multiple-data (SIMD) capable processors in software correlators for real-time operation of GNSS tracking loops. It is demonstrated that LabVIEW-based solutions provide competitive real-time solutions for fast prototyping of receiver algorithms.
HEALTH PROMOTION NEEDS OF HAMMANSKRAAL FAMILIES WITH ADOLESCENTS ORPHANED BY HIV / AIDS

Health promotion is regarded as the cornerstone of good health. It is the action expected from individuals and families in order to better their own health situation. Health promotion is an art and science (Edelman & Mandle, 2002:16) that is integrated into the primary health care to reduce existing health problems. The purpose of the research on which this article is reporting, was to explore and describe the health promotion needs of families with adolescents orphaned by human immunodeficiency virus or acquired immune deficiency syndrome (HIV/AIDS). The research was located within a qualitative paradigm that is both exploratory and descriptive. Eight families who were purposely selected participated in the research process. Qualitative methods, such as group interviews and field notes were utilised to collect data. The health promotion needs of the families with adolescents orphaned by HIV/AIDS were explored and described. Tesch’s analysis process, which entails a series of steps, was followed (Creswell, 2003:192). Themes, categories and subcategories that form the central focus of health promotion needs emerged during the data analysis. These themes,categories and subcategories are used to develop guidelines for health promotion.
CS 231 N Project Report-Tiny Imagenet Challenge

The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object classification and detection, with millions of images and hundreds of object classes. In the ILSVRC 2014, which is large-scale visual recognition challenge, almost every highly ranked team used CNN as their basic framework. The winner GoogLeNet reduced the mean AP of object detection to 0.439329, and reduced classification error to 0.06656, the best result to date. Its network applied more than 30 layers. Performance of convolutional neural networks, on the ImageNet tests, is now close to that of humans.
Culture , Individualism and Preferences for Redistribution *

In this study, I analyze the relationship between individualism and preferences for income redistribution and equality, using variation in immigrants’ countries of origin to capture the impact of cultural beliefs on individual preferences. Using global survey data for a large number of individuals and countries around the world, I find strong support for the hypothesis that coming from a more individualistic culture is negatively and significantly associated with an individual’s preferences for redistribution. The results are confirmed using a variety of robustness checks, including matching estimators and the grammatical rule of a pronoun drop as an instrumental variable. Cultural assimilation analysis, however, indicates that the impact of the cultural origin weakens off with time spent in the new country, and that the culture of origin has no statistically significant effect on an individual’s current preferences for redistribution if migration took place before the age of 10. JEL: D63, O10, Z13
A COMPARATIVE STUDY OF PALO ALTO NETWORKS & JUNIPER NETWORKS NEXT-GENERATION FIREWALLS

This thesis is a comparative study of two Next-Generation Firewalls (NGFWs) with the aim to conclude which one is the most suitable for a small enterprise network. The network in question is Company A’s Office A. Office A is in the process of upgrading their internal network and with the upgrade a new NGFW will be implemented. The two NGFW platforms that have been researched per Company A’s request are Juniper Networks’ SRX-series firewalls and Palo Alto Networks’ (PAN) PAseries, with focus on the SRX1500 and PA-3020 for a fair comparison. To be able to evaluate different platforms and appliances, the concept of NGFW and what it constitutes has been researched and presented. Both of the NGFW platforms have been tested and compared in terms of ease-of-use and cost analysis. The testing focused on the respective web-interfaces and shows no significant differences between the two NGFWs at a first glance in terms of functionality. However, PAN’s webinterface does objectively feel more up-to-date and provides application visibility natively, which Juniper offers as a separate service as part of the centralised management platform, which is excessive for Office A’s network. The research and collection of data has been conducted based on Office A’s needs and requirements. Third-party research has been collected from NSS Labs and Gartner and serves as a basis for the evaluation. The future network of Office A introduces new services and the general usage will mainly consist of office oriented application based traffic. The evaluation of the research of the two NGFWs and the collection of data, in the context of Office A’s network, shows that the PA-3020 would be favoured. The key points are as follows:  PAN’s NGFWs are built specifically for application awareness whereas Juniper are new in the NGFW market and has recently started to add the more advanced application awareness features.  PAN offers a one-box solution suited for smaller networks such as Office A whereas a Juniper implementation would require additional hardware (VM’s) to obtain similar features.  PAN offers more features in terms of user identification which is a key factor in enabling a true context aware security environment seamlessly integrated and invisible to the users.  No major difference in cost if a similar set of features are to be implemented, based on nonrebated list prices (additional hardware not included). 1 Note: Due to confidentiality, the name and details of the company has been anonymised throughout the report.
Algebraic Signatures-Based Data Integrity Auditing for Efficient Data Dynamics in Cloud Computing

With the rapid development of cloud services, the resources-constrained enterprises and individuals can outsource the huge sensitive data into the Cloud Service Providers (CSPs) who fully control the data physically. Since CSPs are not fully trusted, it is essential to protect the integrity and confidentiality of users’ data. Plenty of researchers have devoted considerable attention to solve this issue in the last decade such as various PDP and POR schemes. In this paper, we propose an algebraic signature-based data integrity auditing scheme that ensures the cloud data integrity and confidentiality with batch auditing. Moreover, one advantage of the scheme is that it can also support data dynamics by using only one cloud server. The security analysis shows that our construction can achieve the desired security properties. We also provide the simulation results of the dynamic operations on different numbers of data blocks and sub-blocks, which show that our scheme is efficient for real-world applications.