Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Graph Construction Techniques

Googles knowledge graph technology has drawn a lot of research attentions in recent years. However,due to the limited public disclosure of technical details,people find it difficult to understand the connotation and value of this technology.In this paper,we introduce the key techniques involved in the construction of knowledge graph in a bottom-up way,starting from a clearly defined concept and a technical architecture of the knowledge graph.Firstly,we describe in detail the definition and connotation of the knowledge graph,and then we propose the technical framework for knowledge graph construction,in which the construction process is divided into three levels according to the abstract level of the input knowledge materials,including the information extraction layer,the knowledge integration layer,and the knowledge processing layer,respectively.Secondly,the research status of the key technologies for each level are surveyed comprehensively and also investigated criticaly for the purposes of gradualy revealing the mysteries of the knowledge graph technology,the state-of-the-art progress,and its relationship with related disciplines.Finaly,five major research chalenges in this area are summarized,and the corresponding key research issues are highlighted.
HILDA User Manual – Release 17

The Household, Income and Labour Dynamics in Australia Survey (HILDA) is a household-based longitudinal survey. This manual has been designed for the users of the HILDA data. The manual aims to cover the things that you need to know to use the HILDA data – such as missing data conventions, an introduction to the derived variables, how to put the data files together, imputation, weights and how to find your way around the documentation. The best way to use this manual is as a reference tool. It is unlikely that you will sit down and read it cover to cover and take away everything you need to know about the data. More realistically, you will start to work with the data and will need some information about certain aspects of the data or the survey – and hopefully you will be able to find it within this manual easily.
Investigating person identification in security settings with virtual reality

Person identification at airports requires the comparison of a passport photograph with its bearer. In psychology, this process is typically studied with static pairs of face photographs that require identity match (same person shown) versus mismatch (two different people) decisions, but this approach provides a limited proxy for studying how environment and social interaction factors affect this task. This thesis explores the feasibility of virtual reality (VR) as a solution to this problem, by examining the identity matching of avatars in a VR airport. In Chapter 2, facial photographs of real people are successfully rendered into VR avatars in a manner that preserves image and identity information (Experiments 1 to 3). Furthermore, identity matching of avatar pairs reflects similar cognitive processes to the matching of face photographs (Experiments 4 and 5), a pattern which holds when assessed in a VR airport (Experiments 6 and 7). Chapter 3 then examines whether a simulation of a passport control task in VR can provide a useful tool for selecting personnel for real-world tasks (Experiment 8). The classification of identity mismatches, the detection of which is of paramount importance in security settings, correlated across conventional laboratory face matching tests and the VR passport control task. Social interaction factors, such as body language, may further influence face matching performance, which was explored in Chapter 4. Whilst performance was unaffected when observers were not instructed explicitly to utilise body language (Experiments 9 and 10), when instructed body language enhanced detection of identity mismatches yet also increased false classification of matches (Experiments 11 to 13). This effect was driven by increased activity levels rather than body language that simply differed from normal behaviour, and occurred independently of individuals’ face-matching ability (Experiment 14). This thesis concludes with a summary of how VR can open up many avenues for face-matching research, by facilitating the study of new environment and social interaction factors that may be relevant in real-world operational settings.
Geometric Back-Projection Network for Point Cloud Classification

As the basic task of point cloud analysis, classification is fundamental but always challenging. To address some unsolved problems of existing methods, we propose a network that captures geometric features of point clouds for better representations. To achieve this, on the one hand, we enrich the geometric information of points in low-level 3D space explicitly. On the other hand, we apply CNN-based structures in high-level feature spaces to learn local geometric context implicitly. Specifically, we leverage an idea of error-correcting feedback structure to capture the local features of point clouds comprehensively. Furthermore, an attention module based on channel affinity assists the feature map to avoid possible redundancy by emphasizing its distinct channels. The performance on both synthetic and real-world point clouds datasets demonstrate the superiority and applicability of our network. Comparing with other state-of-the-art methods, our approach balances accuracy and efficiency.
LLN Minimal Fragment Forwarding - draft-ietf-6lo-minimal-fragment-00

This document gives an overview of LLN Minimal Fragment Forwarding. When employing adaptation layer fragmentation in 6LoWPAN, it may be beneficial for a forwarder not to have to reassemble each packet in its entirety before forwarding it. This has been always possible with the original fragmentation design of RFC4944. This document is a companion document to [I-D.ietf-lwig-6lowpan-virtual-reassembly], which details the virtual Reassembly Buffer (VRB) implementation technique which reduces the latency and increases end-to-end reliability in route-over forwarding.
Fast, Accurate Vehicle Detection and Distance Estimation

A large number of people suffered from traffic accidents each year, so people pay more attention to traffic safety. However, the traditional methods use laser sensors to calculate the vehicle distance at a very high cost. In this paper, we propose a method based on deep learning to calculate the vehicle distance with a monocular camera. Our method is inexpensive and quite convenient to deploy on the mobile platforms. This paper makes two contributions. First, based on Light-Head RCNN, we propose a new vehicle detection framework called Light-Car Detection which can be used on the mobile platforms. Second, the planar homography of projective geometry is used to calculate the distance between the camera and the vehicles ahead. The results show that our detection system achieves 13FPS detection speed and 60.0% mAP on the Adreno 530 GPU of Samsung Galaxy S7, while only requires 7.1MB of storage space. Compared with the methods existed, the proposed method achieves a better performance.
Análisis de Largo Plazo de la Generación Eléctrica en Plantas Solares Térmicas de Concentración

The inter-annual variability of the solar resource and the expected long-term production are two fundamental aspects to be considered in the feasibility study and risk assessment of an investment of a power generation project with concentrating solar power systems. This article illustrates a comparative analysis of long-term available solar resource and power production for two topologies of solar plants with typical characteristics (tower and parabolic trough) in 5 locations around the Mediterranean and North Africa, chosen within the DESERTEC concept. To estimate the solar resource have been used 20 years (1994-2013) from satellite-derived solar data in time series of hourly basis, which have been provided by CIEMAT. This work has consisted in processing and ﬁ ltering data for each site, running multiple simulations using the System Advisor Model SAM software version 2015.1. 30 and a statistical treatment of results. It was possible to study the long-term effect of the DNI on electricity production. In this way we have checked the effect of both variables on the measure of ﬁ nancial risk.
Comparison of Outcomes After Percutaneous Coronary Intervention Between Calcified and Nonclacified Lesions

Abstract Introduction: Coronary artery calcification increases with age and associated with significant major adverse cardiovascular events. The presence of calcification makes the percutaneous coronary interventions difficult and associated with peri-procedural complications. The main objective of our study is to evaluate the outcome of patients with calcific coronary lesions compared with non-calcific lesions. Methods: Patients admitted in the cardiology department with either chronic stable angina or acute coronary syndrome who underwent percutaneous coronary interventions were included and divided into two groups, those who had calcific coronary lesions and non-calcific coronary lesions. Calcified lesions were made out by fluoroscopy during conventional angiogram as radiopacity at the site of the target lesion. We prospectively collected and compared the demographic, clinical data ( including risk factors), details of PCI procedure and in hospital outcomes(enzymatic infarcts - EI, vascular access complications –bleed or pseudo-aneurysm, contrast induced nephropathy - CIN, target vessel acute occlusion with or without heart failure – HF and mortality) between calcified and non-calcified lesions. Results: A total of 439 patients were enrolled in the study of which 283 patients were in a calcific group and 156 patients were in non-calcific group. There was no significant difference among risk factors like DM and HTN (p=0.92, p=0.59) in between the both groups. Calcific coronary lesions had long lesions (mean lesion length -20.01 ±3.8mm in calcific, 18.3±3.9mm in non-calcific: p= 0.00) requiring longer stents (mean stent size and length- 3.08 ± 2.1 mm, 22.12 ± 7.95mm in calcific and 2.92± 0.38 mm, 20.5 ± 7.3mm in non-calcific group) compared to non-calcific lesions, which was statistically significant (p=0.02). In hospital complications like EI, HF and pseudo-aneurysm were more in the non-calcific group (n=19, p=0.02), whereas vascular site bleeding was higher in the calcific group. There was no significant difference between mortality between these groups. Conclusion: There was no increased risk of in-hospital and peri-procedural complications in patients with calcific coronary artery lesions compared to non-calcific lesions, which also depends on other conditions like acuteness of presentation and left ventricular function.
Data structure behavior with variable cache size

: Cache-oblivious algorithms are well understood when the cache size remains constant. Recently variable cache sizes have been considered. We are motivated by programs running in pseudo-parallel and competing for a single cache. This thesis studies the underlying cache model and gives a generalization of two models considered in the literature. We give a new cache model called the “depth model” where pages are accessed by page depths in an LRU cache instead of their addresses. This model allows us to construct cache-oblivious algorithms that cause a certain number of cache misses prescribed by an arbitrary function computable without causing a cache miss. Finally we prove that two algorithms satisfying the regularity property running in pseudo-parallel cause asymptotically the same number of cache misses as their serial computations provided that the cache is satisfying the tall-cache assumption.
Direct and Indirect Innervation and Modulation of the Mesolimbic Dopamine System by Leptin Responsive Neurons.

iii Acknowledgements I would like to acknowledge Dr. Martin G. Myers Jr. for his mentoring, support and for giving me the opportunity to work and learn in his laboratory. I would also like to thank the whole Myers lab for all their help and support over the years: To Rebecca Leshan and Gina Leinninger for their productive collaboration and their invaluable training. I could not have done this without you. I would also like to acknowledge the support of my whole family, especially my parents, without whom none of this would be possible and my brothers for all their support over the years. To the Badgers and all my friends for being the best and making sure my time in Ann Arbor was unforgettable. One more shout out to Christa Patterson and Megan Greenwald-Yarnell for keeping me on the straight and narrow for the past few years. They made sure I was working, made sure I was eating, made sure I was healthy, were incredibly huge helps during the worst of it and have always been great friends. To Gina (Louise) for being so good to me for the past few years. Thanks to Avrim Eden for his advice and help. Thompson and my entire thesis committee for all their council over the years iv
Review on Advanced Control Technologies for Bidirectional DC/DC Converters in DC Microgrids

DC microgrids encounter the challenges of constant power loads (CPLs) and pulsed power loads (PPLs), which impose the requirements of fast dynamics, large stability margin, high robustness that cannot be easily addressed by conventional linear control methods. This necessitates the implementation of advanced control technologies in order to significantly improve the robustness, dynamic performance, stability and flexibility of the system. This article presents an overview of advanced control technologies for bidirectional dc/dc converters in dc microgrids. First, the stability issue caused by CPLs and the power balance issue caused by PPLs are discussed, which motivate the utilization of advanced control technologies for addressing these issues. Next, typical advanced control technologies including model predictive control, backstepping control, sliding-mode control, passivity-based control, disturbance estimation techniques, intelligent control, and nonlinear modeling approaches are reviewed. Then the applications of advanced control technologies in bidirectional dc/dc converters are presented for the stabilization of CPLs and accommodation of PPLs. Finally, advanced control techniques are explored in other high-gain nonisolated (e.g., interleaved, multilevel, cascaded) and isolated converters (e.g., dual active bridge) for high-power applications.
Epilepsy and Comorbidities: Towards unraveling the common underlying mechanisms

Epilepsy is a chronic neurological disorder characterized by the rapid occurrence of epileptic seizures affecting approximately 70 million people worldwide. The quality of life of people with epilepsy (PWE) is challenged by a series of comorbidities that might include neurologic and neuropsychiatric disorders (cognitive decline, depression, anxiety, schizophrenia, and autism) as well as metabolic, cardiovascular and respiratory diseases. Neurobehavioral and other comorbidities might share a reciprocal and complex relationship with epileptogenesis and ictogenesis thus biomarkers of the former might be useful for the prediction of the latter and vice versa. This bidirectional relationship between epilepsy and associated comorbidities has attracted significant attention in recent years as supported by data showing that one half of PWE demonstrate cognitive impairments, 30-50% depressive behavior, 10-25% anxiety disorders and 5-40% autism or autism spectrum disorder (ASD). In the past decades, epilepsy-related neurobehavioral comorbidities have been critically discussed, but the current need in unraveling the precise mechanism associated with epilepsy and these neurobehavioral comorbidities is unmet. The precise understanding of the mechanistic pathway underlying these epilepsy-associated comorbid conditions could be instrumental in developing therapeutic interventions that might modify seizure burden and accompanying comorbid conditions.
Improving the safety of fresh meat

Part 1 Identifying and controlling hazards on the farm and feedlot: Biological pathogens in animals Detecting pathogens in cattle and meat Detecting animal tissues in feed and feed ingredients Plant and fungal toxins as contaminants of feed and meat Detecting veterinary drug residues in feed and cattle Environmental contaminants and pesticides in animal feed and meat Controlling microbial contamination on the farm: an overview The use of diet to control pathogens in animals Probiotics, vaccines and other interventions for pathogen control in animals Managing pathogen contamination on the farm. Part 2 Identifying and controlling hazards during and after slaughter: Sources of microbial contamination at slaughtering plants Animal welfare and food safety at the slaughter plant Slaughter and fabrication/boning processes and procedures Removal and handling of BSE specified risk material Removal of the spinal column from carcasses Physical decontamination strategies for meat Chemical decontamination strategies for meat Carcass chilling Emerging decontamination techniques for meat Irradiation of fresh meat Combining physical and chemical decontamination interventions for meat Fresh meat spoilage and modified atmosphere packaging Meat safety, refrigerated storage and transport: modelling and management Meat decontamination and pathogen stress adaptation Molecular typing methods for tracking pathogens The role of quantitative risk assessment in assessing and managing risks related to microbial food pathogens HACCP in the processing of fresh meat Microbiological performance objectives and criteria HACCP in slaughter operations. Monitoring, validating and verifying the effectiveness of HACCP systems.
Relations between age at sexual maturity and some production characteristics in quails

In this research it was investigated relations between age at sexual maturity and some production characteristics in Japanese Quails (Coturnix coturnix japonica). Totally 140 female quails were randomly distributed into individual cages and were determined age at sexual maturity, weight at sexual maturity, hen-day egg production and total egg mass production at 24 weeks old, and egg weights. It was also investigated correlations between determined characteristics. In conclusion late sexual maturity caused high sexual maturity weight and lower total hen-day egg production; on the other hand early sexual maturity resulted with increased egg production without any change for egg weight.
Investigation of an N5-glutamine methyltranferase, a novel partner of α2-chimaerin

Differentiating neurones respond to extracellular signalling cues that affect the actin cytoskeleton and influence the outgrowth and retraction of cellular processes. Rac1 belongs to the family of Rho GTPases that play a key role in actin organisation during neuronal development. Rac1 promotes lamellipodia formation and neurite outgrowth, and is also involved in axonal retraction pathways. α2-Chimaerin down-regulates Rac1 and is involved in neuronal plasticity and axonal guidance through a wide spectrum of interacting partners. The N5-glutamine methyltransferase HemK1 was previously identified in our lab as a novel interacting partner of α2-chimaerin, in a yeast two-hybrid screen. The aim of this study was to characterise HemK1 and investigate its role in neurite outgrowth. N5-glutamine methyltransferases are universally conserved in nature and little studied in vertebrates. HemK1 and related protein HemK2 are implicated in the control of translation termination by methylating the polypeptide chain release factors, a modification that mediates efficient translation termination in their bacterial and yeast homologues. Analyses of their transcript levels in rat embryonic brains by quantitative real-time PCR indicated that both HemK1 and HemK2 are expressed at comparable levels to α2-chimaerin in the brain and also in hippocampal neurones. HemK1 monoclonal antibodies detected an endogenous protein in brain mitochondrial fractions, but not in cytosol. When over-expressed, HemK1 co-localised with its proposed mitochondrial substrate mtRF1a in cells and also exhibited partial colocalisation with Dcp1b, a component of the mRNA decay machinery. Both HemK1 and HemK2 associated with α2-chimaerin, as well as with their proposed substrates, mtRF1a and eRF1. α2-Chimaerin influences neuronal morphology and dendritic pruning. ShRNA knock-down of HemK1 or HemK2 in primary rat hippocampal neurones in culture promoted increased branching and complexity of neurites as assessed by confocal microscopy and Sholl analysis. These results suggest a novel link between translational control mechanisms and Rac signalling pathways in developing neurones.
Achieve Model on Research and Publication Performance

Objective - The number of publications written by Indonesian lecturers and researchers has increased both in terms of quantity and quality. However, it is still lower than some neighboring countries such as Singapore, Malaysia and Thailand. Hence, academics in Indonesia, especially in West Kalimantan, still need to improve their research and publication performance. This research aims to analyze the effect of the ACHIEVE model which stands for Ability, Clarity, Help, Incentive, Evaluation, Validity, and Environment, on research and publication performance. Methodology/Technique – The research questions that must be answered in this research was whether Ability, Clarity, Help, Incentive, Evaluation, Validity, and Environment significantly influenced the performance of lecturers' research and publications. The data were collected by distributing self-report questionnaires to 100 lecturers. Finding - The data were also supported by a secondary source taken from the literature study. Measurement variables were developed from the theory and results of previous studies. The data, then, were analyzed by using multiple linear regression with SPSS software. The novelty in this article is the use of the Achieve model to study research and publication performance in higher education institution. Novelty - This research suggested that Ability, Clarity, Help, Incentive, Evaluation, Validity and Environment had a significant effect on research performance. The research also found that the Ability had the highest effect on the research performance. Type of Paper: Empirical. Keywords: Performance, ACHIEVE, Ability, Clarity, Incentive, Performance. Reference to this paper should be made as follows: Sulistiowati; Komari, N. 2020. ACHIEVE Model on Research and Publication Performance, Global J. Bus. Soc. Sci. Review, 8(1): 22 – 29. https://doi.org/10.35609/gjbssr.2020. 8.1(3) JEL Classification: M12, M19.
Abdomen Actin’ Up: A Unique Presentation of Disseminated Abdominal Actinomycosis

On exam, he was afebrile, had a blood pressure of 85/70 mmHg, and an oxygen saturation of 84% on room air. The patient had poor dentition, decreased breath sounds bilaterally, and multiple abdominal masses palpable in the left lower quadrant and along the liver border. Labs were remarkable for an elevated lactate of 2.3 mmol/L, hemoglobin of 7.6 g/dL, and albumin level of 1.9 g/dL. His white blood cell (WBC) count and arterial blood gas were within normal limits. Imaging revealed a large right-sided pleural effusion with septations and complete collapse of the right lung (Figure 1), as well as multiple intra-abdominal abscesses with air-fluid levels.