Miracle-dz/UniFAR-FTUs huggingface dataset:
On Secure Mixed RF-FSO Decode-and-Forward Relaying Systems With Energy Harvesting

In this article, we study the security performance of a mixed radio frequency (RF)-free space optical (FSO) decode-and-forward (DF) relaying system with the simultaneous wireless information and power transfer (SWIPT) technology. The RF channels experience Nakagami-<inline-formula><tex-math notation="LaTeX">$m$</tex-math></inline-formula> fading and the FSO channel suffers Málaga turbulence and pointing errors. More precisely, we derive analytical closed-form expressions for the average secrecy capacity and the secrecy outage probability to investigate the security performance of the proposed mixed RF-FSO communication framework with energy harvesting technology.
Crigler najjar syndrome: A systematic outline

Crigler-Najjar Syndrome (CNS) is a rare genetic condition characterized by non-hemolytic unconjugated hyperbilirubinemia. It is caused by mutations in the UGT1A1 gene which codes for the enzyme uridine diphosphate glucoronosyl transferase-1, required for the conjugation and further elimination of bilirubin from the body. Affected individuals are usually asymptomatic apart from the jaundice and investigations reveal isolated indirect hyperbilirubinemia. It can be conveniently diagnosed by evaluating the response to phenobarbital in terms of decrease in bilirubin levels. Genetic testing of the UGT1A1 gene for mutations is the investigative clincher. The hallmark outcome of Crigler-Najjar syndrome is a determined yellowing of the skin, mucous membranes and the sclera of eye. There are two patterns of this disorder: Crigler-Najjar syndrome type I, characterized by a nearly complete lack of enzyme activity and severe symptoms; and CriglerNajjar syndrome type II, characterized by inadequate enzyme activity and milder symptoms. Both forms are inherited as autosomal recessive characters and are caused by faults or mutations of the UGT1A1 gene. Treatment is engaged toward dropping the level of unconjugated bilirubin in the blood. Early treatment is vibrant in Crigler-Najjar syndrome type I to prevent the development of encephalopathy during the first few months of life. Because Crigler-Najjar syndrome type II is milder and responds to phenobarbital, treatment is different. The purpose of the current review article is to emphasize on causes, types, clinical symptoms, autosomal pattern, complications, management and future direction for treatment of Crigler-Najjar syndrome.
TextGraphs 2019 Shared Task on Multi-Hop Inference for Explanation Regeneration

While automated question answering systems are increasingly able to retrieve answers to natural language questions, their ability to generate detailed human-readable explanations for their answers is still quite limited. The Shared Task on Multi-Hop Inference for Explanation Regeneration tasks participants with regenerating detailed gold explanations for standardized elementary science exam questions by selecting facts from a knowledge base of semi-structured tables. Each explanation contains between 1 and 16 interconnected facts that form an “explanation graph” spanning core scientific knowledge and detailed world knowledge. It is expected that successfully combining these facts to generate detailed explanations will require advancing methods in multi-hop inference and information combination, and will make use of the supervised training data provided by the WorldTree explanation corpus. The top-performing system achieved a mean average precision (MAP) of 0.56, substantially advancing the state-of-the-art over a baseline information retrieval model. Detailed extended analyses of all submitted systems showed large relative improvements in accessing the most challenging multi-hop inference problems, while absolute performance remains low, highlighting the difficulty of generating detailed explanations through multi-hop reasoning.
Synthetic biology meets liposome-based drug delivery

Synthetic biology is an emerging and rapidly expanding field of research focused on the assembly of novel biological systems with new functionalities tailored for different applications. Genetic circuits have been re-wired or constructed with elements from different organisms, and metabolic pathways have been engineered to endow cells with non-natural capabilities. One of the most exciting goals of synthetic biology is bringing solutions to biomedical challenges. Though this research area is still in its infancy, translational medicine is already witnessing the first steps towards the development of therapies based on synthetic biology. Cell-free synthetic biology (or in vitro synthetic biology), a branch of synthetic biology, makes use of cell-free gene expression systems to create biological networks that operate outside the chassis of a living cell. More than a decade ago, the convergence of synthetic biology, cell-free gene expression systems and liposome technology gave rise to the creation of artificial vesicle bioreactors that can synthesize genetically-encoded molecules. Though the primary motivation of these studies was the assembly of a semi-synthetic cell, the application of such technologies for different therapeutic purposes has been envisioned. Examples of this are the creation of antigen-producing liposomes as novel vaccination systems, the development of bioreactor liposomes suited for remotely controlled in-situ mRNA or protein production, and the assembly of a PCR-based nanofactory for gene delivery. Liposomes are the most successful drug delivery scaffolds ever developed with more than fifteen liposome-based drugs approved. Liposomes have long been investigated in the field of gene therapy as delivery vehicles for nucleic acids to overcome the barriers encountered by these molecules in vivo. In particular, the field of RNA interference-based drugs is very promising, with the first marketed formulation in 2018, and several others on their way. However, despite their long history of investigation, most of the structural and functional properties of the liposome-based drug delivery systems are inferred from bulk measurements. Therefore, the level of heterogeneity regarding, e.g. encapsulation efficiency, lipid composition, remains largely unknown within liposome preparations, which complicates the development of new formulations with improved therapeutic efficiency. Another important limitation is the observed membrane leakiness and premature drug release upon administration. Controlling the bio-distribution of a therapeutic drug is essential to minimize toxic side effects and enhance the efficiency of the treatment. To tackle this problem, the creation of targeting delivery systems with stimuli-responsive ability can improve the biodistribution profile of a drug and allow its delivery on demand. This work contributes to the convergence of the fields of synthetic biology, single-liposome biophysics and biomedicine, presenting different possible applications of vesicle bioreactors for the improvement of current RNA-based gene delivery systems.
Resource allocation and optimisation of elastic optical networks in nonlinear regime

Elastic optical networks have emerged as a promising technology for the backbone networks to support increasing popular applications and service such as ultra high-definition video and inter data centre communication. These applications require to accommodate high-capacity and dynamic bandwidth, which pose a significant challenge to the backbone networks. This thesis aims at making the efficient use of the elastic optical networks and increasing the network utilisation subject to the transmission impairments constraints which degrade the quality of the optical signal. This thesis begins with the quality of transmission model considering the nonlinear impairments and the amplified spontaneous emission noise as the dominant impairments in the elastic optical networks. Based on widely adopted Gaussian noise nonlinear impairments model, a novel load-aware nonlinear impairments estimation method is proposed. The accuracy of the proposed nonlinear model is evaluated, which effectively approximates the real performance when the link occupation exceeds 100 GHz for different signal power spectral densities and fibre span lengths. Then, various novel resource allocation algorithms based on the proposed load-aware nonlinear impairments estimation strategy are proposed for the case where the traffic requests are sequentially loaded into the network. The proposed optimisation algorithm and its corresponding service reconfiguration functions achieve higher spectral efficiency and higher network throughput compared to the benchmark solutions.
Crawling Chinese-Myanmar Parallel Corpus: Automatic Collection, Screening and Cleaning Corpus

The collection of Chinese-Myanmar Parallel Corpus (CMPC) is the key step in the natural language processing (NLP) and training Machine Translation Engine (MTE) of Southeast Asia minority languages. As the scarcity of CMPC resources that efficient corpus collection methods are worth studying extremely. Traditional corpus collection methods include manual collection, text recognition of books and Internet crawlers, etc. Among them, the most efficient method to collect corpus is internet crawler preached by many. Traditional Internet crawler algorithm is interfere easily by a lot of spamming and advertising that lead to the time-consuming and low-precision. We propose a web crawler mechanism combines acquisition automatically technology bilingual website list, crawling corpus and cleaning corpus to obtain high quality parallel corpus. Firstly, using the hyperlinks to recursively access related corpus websites through building the website graph. Furthermore, the breadth-first, Backline and PageRank crawler framework used to build a corpus selection model based on crawling with threshold, matching link, ranking the heat of page, through this, the CMPC can be found accurately. Finally, the corpus cleaning model based on the HTML parsing to determine a set of standardized token sequences. By testing the Chinese-Myanmar reptile algorithm established in this paper, the experimental results show that our benchmarks this model exceeds previous published benchmarks. Up to now, we have obtained 1.1 million parallel corpus pairs of Chinese-Myanmar.
Clone Finder Using Non-Verbal User Activity

“Clone Finder Using Non-verbal User Activity” proposes a computationally efficient method for detecting identity deception through the use of non-verbal user activity in the social media environment. This commitment guarantees that a moderately abnormal state of in general recognition exactness is acquired that is practically identical to comparative techniques that utilize verbal correspondence, however, with lower computational overheads.
The Paradox of Choice: The False Premise of Omnichannel Services and How to Realize It

The notion of omnichannel, an integration of brick-and-mortar stores with online channels, has been thriving in recent years and is reforming the traditional service industry. Many service chains, such as Starbucks and McDonald's, have been establishing omnichannel capability by allowing customers to order online in advance before visiting stores for pick-up. The premise of omnichannel services is that the online ordering option enables a low-cost way of waiting so that when customers take advantage of it, both their utility and the provider's revenue will increase. Although simply adding an online ordering option to the conventional walk-in model stimulates revenue, we show it inadvertently aggravates customers' individual utility and social welfare. This aggravation results from the channel interference to the walk-in customers by online orders due to self-interested channel choices -- a paradox of choice. Surprisingly, the less costly ordering and waiting online are, the more acute this aggravation is. To address this paradox, industry practitioners have been experimenting with various operational strategies, including regulating the usage of the online channel and establishing channel-dedicated capacities. Yet these strategies are shown to be ineffective. Instead, we advocate that a win-win omnichannel service requires maintaining a high capacity utilization while eliminating the intra-channel interference. We demonstrate that prioritizing walk-in customers or incorporating capacity flexibility in the channel-dedicated system can lead to a win-win omnichannel system. Our results highlight the need for synergy between innovative technology and effective operational strategies to create efficient marketplaces.
Rumour Detection on Social Media for Crisis Management

We address the problem of making sense of rumour evolution during crises and emergencies. We study how understanding and capturing emerging rumours can benefit decision makers during such event. To this end, we propose a two-step framework for detecting rumours during crises. In the first step, we introduce an algorithm to identify noteworthy sub-events in real time. In the second step, we introduce a graph-based text ranking method for summarising newsworthy sub-events while events unfold. We use temporal and content-based features to achieve the effective and real-time response and management of crises situations. These features can improve efficiency in the detection of key rumours in the context of a real-world application. The effectiveness of our method is evaluated over large-scale Twitter data related to real-world crises. The results show that our framework can efficiently and effectively capture key rumours circulated during natural and human-made disasters.
L-SCANN: Logarithmic Subcentroid and Nearest Neighbor

Securing a computer network has become a need in this digital era. One way to ensure the security is by deploying an intrusion detection system (IDS), which some of them employs machine learning methods, such as k-nearest neighbor. Despite its strength for detecting intrusion, there are some factors, which should be improved. In IDS, some research has been done in terms of feature generation or feature selection. However, its performance may not be good enough. In this paper, a method to increase the quality of the generated features while maintaining its high accuracy and low computational time is proposed. This is done by reducing the search space in training data. In this case, the authors use distance between the evaluated point and the centroid of the other clusters, as well as the logarithmic distance between the evaluated point and the subcentroid of the respective cluster. Besides the performance, the effect of homogeneity in extracting centroid and subcentroid on the accuracy of the detection model is also evaluated. Based on conducted experiment, authors find that the proposed method is able to decrease processing time and increase the performance. In more details, by using NSL-KDD 20% dataset, there is an increase of 4%, 2%, and 6% from those of TANN in terms of accuracy, sensitivity and specificity, respectively. Similarly, by using Kyoto 2006 dataset, proposed method rises 1%, 3%, and 2% than those of TANN. Keywords—clustering, feature transformation, information security, network security.
Estudio de redes SDN mediante Mininet y MiniEdit

In response to the growing evolution of the demand and the need for the development of communication networks, there is the “Sofware Differred Network or SDN”, a revolutionary new vision of the network architecture that allows the control and data layers to be broken down, in addition to using as a key element, a network controller. Thanks to these two fundamental characteristics, the resulting networks are more flexible and dynamic compared to the needs of the environment. This work aims to give a more detailed view of this new technology, knowing its evolution, as well as understanding its operation and its relationship with OpenFlow technology. For this, Mininet will be presented, a network emulation software based on the technology to be studied. Focusing on developing in more detail one of its work tools, the Miniedit platform, which presents an ideal graphical interface to experiment with the concepts of SDN and OpenFlow.
Change points of global temperature

We aim to address the question of whether or not there is a signi ﬁ cant recent ‘ hiatus ’ , ‘ pause ’ or ‘ slowdown ’ of global temperature rise. Using a statistical technique known as change point (CP) analysis we identify the changes in four global temperature records and estimate the rates of temperature rise before and after these changes occur. For each record the results indicate that three CPs are enough to accurately capture the variability in the data with no evidence of any detectable change in the global warming trend since ∼ 1970. We conclude that the term ‘ hiatus ’ or ‘ pause ’ cannot be statistically justi ﬁ ed.
Computer Generation of Low Light-Level Images

As result of exposure in low light-level are images with only a small number of photons. Only the pixels in which arrive the photopulse have an intensity value different from zero. This paper presents an easy and fast procedure for simulating low light-level images by taking a standard well illuminated image as a reference. The images so obtained are composed by a few illuminated pixels on a dark background. When the number of illuminated pixels is less than 0.01% of the total pixels number it is difficult to identify the original object.
Fibrous dysplasia a report of two cases with emphasis on radiographic features

Fibrous dysplasia is also called fibrocystic disease, osteitis fibrosa localisata, focal osteitis fibrosa, fibro osteodystrophy, and Jaffe-Lichtenstein. It is an asymptomatic regional alteration of bone in which the normal architecture of bone is replaced by fibrous tissue and nonfunctional trabeculae-like osseous structures. Fibrous dysplasia may be monostotic or polyostotic, with or without associated endocrine disturbances. Here, we are discussing two cases with monostotic fibrous dysplasia of maxilla with emphasis on various radiographic features that the lesion shows during its different stages.
Cooperative Superposed Transmission in Cellular-Based V2V Systems

Vehicle-to-vehicle (V2V) communication is a critical 5 G scenario demanding stringent safety requirements. As a way of ensuring safe packet exchange between vehicles in a V2V system, we propose a new cooperative transmission scheme employing a signal superposition technique from non-orthogonal multiple access (NOMA), which we call cooperative superposed transmission (CST). In the proposed CST, vehicle user equipments (VUEs) superpose other VUEs’ signals that they have received on to their own transmission signals. This allows them to retransmit other users’ V2V packets during their packet transmission. The result is high communication reliability because packets can be sent multiple times without intensifying inter-user interference (IUI). We perform a theoretical analysis, then use it to derive a closed-form expression for the link reliability of the proposed CST. Based on this, a new power control and user pairing algorithm is designed to maximize reliability. Simulation results show that the proposed scheme achieves higher reliability and lower latency than the conventional transmission schemes used in cellular-V2V (C-V2V) systems. Moreover, the proposed CST guarantees high reliability in various road environments and system settings.
CUHK at MRP 2019: Transition-Based Parser with Cross-Framework Variable-Arity Resolve Action

This paper describes our system (RESOLVER) submitted to the CoNLL 2019 shared task on Cross-Framework Meaning Representation Parsing (MRP). Our system implements a transition-based parser with a directed acyclic graph (DAG) to tree preprocessor and a novel cross-framework variable-arity resolve action that generalizes over five different representations. Although we ranked low in the competition, we have shown the current limitations and potentials of including variable-arity action in MRP and concluded with directions for improvements in the future.
Resources to achieve esthetics in anterior teeth

As dentistry has evolved, the search for good esthetics has become increasingly frequent. Professionals must be constantly up-to-date regarding the latest advances. When a tooth is lost, there are several possible rehabilitation techniques. Adequate contour of the bone and gingiva is an essential factor if good esthetic results are to be achieved. In order to maintain the contour, techniques for immediate placement of implants, bone and gum grafting techniques and care in the correct establishment of the ideal position of the implant have been advocated. Sometimes dentists have to treat a patient whose implants have already been installed and are osseointegrated. This report was carried out in order to highlight the importance of understanding the information that is available to obtain appropriate gingival contours in such clinical conditions. A review of the literature was carried out on methods for obtaining gingival papilla and esthetics in the anterior maxilla, and on methods to construct a prosthesis for the clinical case described. The analysis of the outcome and of the degree of patient satisfaction suggests that the resources described can be successfully applied.
Design and Investigation of Genetic Algorithmic and Reinforcement Learning Approaches to Wire Crossing Reductions for pNML Devices

ii ACKNOWLEDGMENTS . iii LIST OF TABLES . vi LIST OF FIGURES . vii CHAPTER I: INTRODUCTION . 1 CHAPTER II: BACKGROUND . 3 II.1: Principles of QCA . 3 II.2: Electric QCA . 5 II.3: Magnetic QCA and In-Plane NML . 7 II.4: Perpendicular NML . 9 II.5: pNML EDA . 12 II.6: Previous Work in Crossing Reduction in QCA . 14 II.7: Genetic Algorithms . 15 II.8: Reinforcement Learning Algorithms . 17 II.9: Graph Embeddings . 20 II.10: The Apache Spark Framework.23 CHAPTER III: PROBLEM ANALYSIS AND REPRESENTATION . 25 III.1: Representation of pNML Wire Crossing Reduction.25 III.2: Verilog Parser and Netlist . 27 III.3: Magnet Layout . 29