Miracle-dz/UniFAR-FTUs huggingface dataset:
A Semantic Web Service Retrieval Approach that Combines Semantic Matching With Quality of Service Matching

— Web services have been utilized in many sectors such as educational, business, and government sectors. Examples are the tax information system of the Bureau of Internal Revenue and any kind of utility payment system and student achievement report system. Today, there are a large number of various web services on the Internet, creating a dif(cid:976)iculty in performing search and a problem of selection. For this reason, the author proposes a new web service search system that exploits the information structure of OWLS documents which consists of information from service history class, service model class, and basic service class. This information is used to construct indexes and their individual weights which are used to compare the level of similarity between a semantic query from a user and each web service by a vector space model. Then, the result is used in a web service selection procedure based on a formal concept analysis. A web service is selected through the structure of a concept lattice of Qos consisting of service availability and response time. Experimental results show that this proposed system provided an average accuracy of 71.9%. Moreover, it can provide alternative web services that are closely related to the query in order for the user to have (cid:976)lexibility in utilizing the search results.
Spectrum, Power, and Storage Management in Device-to-Device Networks

Spectrum, Power, and Storage Management in Device-to-Device Networks Yujie Xu Doctor of Philosophy The Edward S. Rogers Sr. Department of Electrical & Computer Engineering University of Toronto 2019 Device-to-device (D2D) communication allows direct data transmission among devices, which has been considered a cost-effective means to improve system performance in future networks. Potentially, D2D communication may reduce data transmission delay, increase network throughput, expand network coverage, and enhance network robustness. In spite of these promising benefits, the management of D2D wireless resources, such as spectrum, power, and storage, remains a challenging problem. In this thesis, we focus on the spectrum, power, and storage management in D2D networks. First, we focus on optimizing the transmission probabilities of D2D pairs, where the D2D pairs share spectrum resources in a random access manner. We aim at maximizing α-fairness in D2D networks with exact topology information or with only spatial statistics. Then, we consider power control among D2D pairs in D2D networks with delayed feedback of the network state information via an on-line learning approach. We aim at maximizing the long-term averaged sum-rate of D2D pairs with performance guarantee for cellular communication. Finally, we study probabilistic caching in D2D networks in order to leverage file storage in devices. We jointly optimize spectrum allocation between cellular communication and D2D communication and file caching probabilities to maximize the logarithm utility.
Multi Dispatcher Systems and interacting policies

This project explores the performance of parallel server system. The focus of the project is a system using multiple heuristic policies to route jobs to a server. To achieve this there is a simulator created that uses the Monte Carlo method to numerically simulate the performance of a system. It displays with gures the result of some simulations under di erent conditions and answers how di erent policies interact in this multi dispatcher system.
A Case of Multi-Level Distributed Recovery Schemes

Most of the distributed recovery schemes proposed in the literature are designed to tolerate arbitrary number of failures, with a few notable exceptions of schemes designed to tolerate single failures. In this report, we demonstrate that it is often advantageous to use "multi-level" recovery schemes. A "multi-level" recovery scheme is one that can tolerate different number of faults at different costs, tolerance of larger number of failures requiring larger costs. The costs are incurred during failure-free operation as well as during recovery. To demonstrate the advantages of multi-level recovery, we analyze a hypothetical 2-level recovery scheme that takes two different types of checkpoints, namely, 1-checkpoints and N-checkpoints. A single failure can be tolerated by rolling the system back to a 1-checkpoint, while multiple failure recovery is possible by rolling back to an N -checkpoint. The cost of a 1-checkpoint may be expected to be smaller than that of an N -checkpoint. For such a system, we demonstrate that to minimize the average overhead, it is often necessary to take both 1-checkpoints and N -checkpoints. While the conclusions of this report are intuitive, the work on appropriate recovery schemes is lacking. The objective of this report is to motivate research into recovery schemes that can provide multiple levels of fault tolerance.
Concealment Materials and Techniques for mm-Wave Advanced Antenna Systems

With the advent of the 5G technology standard for communication, it is estimated that around 50 billion devices around the world will be interconnected under this standard [1]. This has prompted the need to investigate new materials, technologies and methods to conceal antennas for preserving the aesthetic value of urban centers, and preventing these antenna systems from being identified or damaged. The aim of this thesis work was to identify possible materials and investigate methods for concealing Ericsson’s 5G mm-Wave Advanced Antenna System(AAS) Radio Base Stations. A study of economically viable, commercially available materials for concealment, and methods to determine their dielectric properties was done. A practical investigation of the effect some available concealment materials on the RF performance of the mm-Wave base station beams, was also performed. The results from the investigations and measurements performed led to some useful conclusions and understanding about the various concealment material solutions. Overall, the investigated concealment materials were found to have two prominent effects: 1. Reduction in EIRP (Equivalent Isotropic Radiated Power) of the base station beams (attenuation). 2. Distortion in the shape of the base station beams. The boresight beams for all the investigated cases were found to be attenuated(effect 1) by the concealments, but the steered beams were found to be both attenuated in distorted(effect 2) by the concealments. In particular, concealments with a thin dielectric material mesh structure were found to have the least effect on the base station beams. All other thicker(> λ0/2), composite concealments and even those with pure foam structures, were found to have a noticeable effect on the base station beams. In conclusion, thin dielectric mesh, films and paints could hence be of interest as concealment solutions for further investigations moving forward.
Signature Localization and Signature Classification

: Signature is one of the most important and widely accepted biometric. It is the most common biometric used in documents like financial transactions, legal documents, contracts, and others. The security requirements demand the classification of the signatures. In real-world scenarios, signatures are not always available separately. The signatures are to be extracted from the documents and are then to be processed for other applications. In the first stage, the scanned document images are fed to the system and the signatures from the documents are extracted using various morphological operations. Features are extracted using DenseSIFT and these extracted features are stored in a database for further processing. In the later stage, Support Vector Machines (SVM) are employed to classify the signatures. The testing signatures are extracted from the documents and are then classified against the stored documents in the database. For the purpose of this project, we have considered around 500 documents. But, can be extended to work with as much as 1000-2000 documents.
A Current Control Method With Extended Bandwidth for Vienna Rectifier Considering Wide Inductance Variation

Wide inductance variation of powder core inductors used in the Vienna rectifier challenges the system stability and limits the bandwidth of the current loop, which leads to more harmonics. In this article, a current control method with extended bandwidth is proposed for a three-phase Vienna rectifier to improve the system stability and reduce harmonics. The averaged model of three-phase Vienna rectifier considering the inductance variation is derived in the natural a-b-c frame. The impact of inductance variation on control system is analyzed. To extend the control bandwidth, the instantaneous inductance is obtained based on a piecewise linearization method and is embedded into a classical current control loop. Since the control method is easy to implement and occupies a little time of digital controller, the sampling frequency can be increased to twice the sampling frequency, which makes the bandwidth further extended. The proposed method keeps a wide and fixed bandwidth of the current loop, which improves the harmonics reduction ability and dynamic performance compared with classical control methods. Finally, the effectiveness of the proposed method is verified by a three-phase Vienna rectifier prototype.
Dynamic Voltage Restorer With an Improved Strategy to Voltage Sag Compensation and Energy Self-Recovery

In this paper, an improved control scheme is proposed to improve the voltage quality of sensitive loads using dynamic voltage restorer. The existing control strategies either put emphasis on the optimal control during steady operation stage of compensation or correct the phase angle jump in the initial stage of compensation. In current researches, the impact of phase jump characteristic of voltage sag on the load side after voltage sag recoveries is widely ignored, further, there are still drawbacks in existing energy self-recovery strategies of DVR. Therefore, to improve the overall voltage compensation time while correcting the phase jump and accelerate the energy recovery of dc link side, this paper aims to 1) Propose the strategies to minimum active power consumption during voltage compensation stage and maximum active power absorption during energy self-recovery stage. 2) Deliver smooth transition in dynamic process to ensure the flexible switching between two stages. Theoretical analysis of proposed strategy is been validated through simulation and experimental results.
A security feature framework for programming languages to minimize application layer vulnerabilities

Pervasiveness of Internet‐based applications and computing devices has increased cybersecurity threats for wide range of users. Studies have shown that application security flaws have their roots in programming languages used for application development. Some vulnerabilities are due to programmer's negligence and others are due to the vulnerabilities present in the programming languages and their libraries. Developers may not be aware of the existing flaws in the programming languages and do not have time to take necessary measures as they develop applications. To cope with the challenge, this article proposes a security feature framework for programming languages to understand various exploitations and possible mitigations in programming languages. This security feature framework can be used to evaluate existing programming languages for potential vulnerabilities, level of security support, and the language features needed to mitigate these vulnerabilities. Moreover, language designers may use this framework as a guide to ensure that the language being designed has necessary and sufficient security feature set. The proposed security feature framework is then applied to several popular programming languages to evaluate the level of security feature coverage and gaps in these languages along with some recommendations on how to address these gaps.
Soil characteristics and bare ground cover differ among jurisdictions and disturbance histories in Western US protected area-centered ecosystems

Introduction Ecological conditions at a given site are driven by factors including resource availability, habitat connectivity, and disturbance history. Land managers can influence disturbance history at a site by harvesting resources, creating transportation pathways, introducing new species, and altering the frequency and severity of events such as fires and floods. As a result, locations with different land management histories have also likely experienced different disturbance trajectories that, over time, are likely to result in different ecological characteristics. Methods To understand how the presence of different management histories may shape ecological conditions across large landscapes, we examined plant and soil characteristics at matched sampling points across jurisdictional boundaries within four Protected Area-Centered Ecosystems (PACEs) in the western US. We employed Bayesian modeling to explore 1) the extent to which specific ecological variables are linked to disturbance and jurisdiction both among and within individual PACEs, and 2) whether disturbance evidence differs among jurisdictions within each PACE. Results Across all jurisdictions we found that disturbances were associated with ecologically meaningful shifts in percent cover of bare ground, forbs, grass, shrubs, and trees, as well as in tree species richness, soil stability, and total carbon. However, the magnitude of shifts varied by PACE. Within PACEs, there were also meaningful associations between some ecological variables and jurisdiction type; the most consistent of these were in soil stability and soil carbon:nitrogen ratios. Disturbance evidence within each PACE was relatively similar across jurisdictions, with strong differences detected between contrast jurisdictions only for the Lassen Volcanic National Park PACE (LAVO). Discussion These findings suggest an interaction between management history and geography, such that ecotones appear to manifest at jurisdictional boundaries within some, but not all, contexts of disturbance and location. Additionally, we detected numerous differences between PACEs in the size of disturbance effects on ecological variables, suggesting that while the interplay between disturbance and management explored here appears influential, there remains a large amount of unexplained variance in these landscapes. As continued global change elevates the importance of large landscape habitat connectivity, unaligned management activities among neighboring jurisdictions are likely to influence existing ecological conditions and connectivity, conservation planning, and desired outcomes.
Accident Severity and Young and Old Drivers: Evidence from Saskatchewan 1991-2012

This paper investigates the effects of several driving factors on the severity of accidents in the Province of Saskatchewan, Canada. The data provided by the Saskatchewan Government Insurance (SGI) contains detailed accident information related to driving behaviours, risky factors, vehicle and environmental features and allows me to analyse their impact on the injury severity of accidents. I find that different driving behaviours when comparing the performance of young and old drivers and the whole population. I find the young and old drivers are more dangerous compared to middle‐age drivers, but the youngest female drivers are more vulnerable to suffering severe accidents, while the oldest female drivers are not. In addition, marginal effect analysis illustrates that the possibilities of experiencing more severe accidents increases with drivers’ age, and decreases with the number of occupants in a vehicle for both young and old drivers. These results also suggest some potential policy uses. Key words: Severity of Accident; Driving Behaviour; Young and Old Drivers;
Weighted Local Access Point based on Fine Matching k-Nearest Neighbor Algorithm for Indoor Positioning System

Demand on Location-based Service (LBS) is rapidly increasing for smart city application. As most of these LBS are acquired from indoor locations, accurate indoor positioning system is important. To date, the most widely used WLAN (Wireless Local Area Network) fingerprint-based i ndoor positioning algorithm is based on state-of-the-art k-Nearest Neighbour (kNN) technique due to its simplicity and robustness. This paper proposes a novel AP weighting technique combined with an improved matching technique for kNN. The strategy is two-fold; first, the signal distance calculation within the algorithm is weighted using signal information of local AP in each fingerprint a nd second, the matching process of the classical kNN algorithm is improved to obtain more accurate position estimates. The results show that the mean error of the proposed algorithm performs up to 14% better than state-of-the-art weighted kNN algorithm and at the same time also outperformed other enhanced version of the kNN algorithm. From the real experiment, we obtained the best $k$ value of 8 which gives the mean positioning error of 2.70 m over an indoor area of 440 square meters.
’ Response to Referee 2 ( ESDD esd-2018-71 )

e authors explore the robustness of the “emerging constraint” (EC) method by using vegetation changes in the Northern High Latitudes as a case study. As the authors discuss, the EC method has gained increasing popularity and is being applied to a wide range of climate change studies, including reducing uncertainty in the carbon cycle. Overall the paper is well-wrien and easy to follow. e authors identify and analyse a number of caveats that may inuence results from the EC method that are likely relevant to the wider community.
Análise de sobrevida do diabético em centro brasileiro de diálise

Estudo de coorte hitorica; obtencao e registro em arquivo de dados demograficos e clinicos de pacientes portadores de insuficiencia renal cronica e submetidos a hemodialise em um unico centro, no periodo entre 1990 e 2000; uso do pacote estatitico SPSS para analise estatistica pelos metodos de Kaplan-Meier e pela tabua de sobrevida. De um total de 575 doentes renais cronicos (484 nao-diabeticos e 91 diabeticos), foram obtidos dados suficientes para analise de 447 pacientes383 nao dabeticos e 64 diabeticos). A sobrevida atuarial em um ano e em cinco anos, respectivamente, foi de 61 por cento e 19 por cento para diabeticos e 65 por cento e 38 por cento para nao-diabeticos. A sobrevida media dos pacientes diabeticos, quando determinada pelo metodo Kaplan-Meier e testada por Log Rank, mostrou-se signitivamente inferior a de individuos renais cronicos nao-diabeticos. Quando a analise foi individualizada por faixa etaria, nao houve diferenca significativa na sobrevida media de diabeticos e nao-diabeticos com mais de 60 anos. Na populacao estudada, os individuos renais cronicos diabeticos obtiveram menor sobrevida em hemodialise quando comparados aos nao-diabeticos, com excecao dos pacientes com mais de 60 anos, para os quais a presenca de diabetes mellitus nao alterou signitivamente a sobrevida. (au)
Implementación de un método mediante el uso de sustratos tritiados como herramienta diagnóstica de la deficiencia de OCTN2

Introduction: The transport of carnitine into the cell is mediated by a high-affinity sodium-dependent plasmalemmal carnitine transporter, OCTN2. Carnitine is a zwitterion essential for the mitochondrial oxidation of long-chain fatty acids. Primary carnitine deficiency is a consequence of the deficiency of OCTN2. Objective: The objective of the present study was to analyse the oxidation rate of tritiated substrates by fibroblasts from patients suffering OCTN2 deficiency and controls. Materials and methods: Fibroblasts from patients and controls were incubated with [3H]-palmitate and [3H]-miristate and the oxidation of these substrates were measured in nmol/hour/mg protein. Results: We found depressed the oxidation of tritiated substrates in fibroblasts from patients suffering the deficiency of OCTN2 in more than 60%. Conclusion: This modified technique enables us the in vitro diagnosis or primary carnitine deficiency.
Report of a case of exposure to high ozone concentrations for two hours.

A case study was presented of voluntary self-exposure to 2 ppM O/sub 3/ for 2 hr. The following is a subjective report: upper respiratory dryness, constrictive chest pains, and less mental ability during the experiment. Chest pains occurred again that night with poor night's sleep. Anorexia and extreme tiredness were noted and a cough with mucus developed in 2 to 3 days.
Cytomegalovirus infection causes delayed platelet recovery after bone marrow transplantation

The pathogenic effect of cytomegalovirus (CMV) infection on the hematopoietic recovery after bone marrow transplantation (BMT) was retrospectively studied in 87 recipients of (nonpurged) autologous BMT and in 56 recipients of allogeneic BMT from HLA-identical siblings. Indications for autologous BMT were lymphomas or acute leukemias and for allogeneic BMT various malignancies or aplastic anemia. Patients were divided for the study in two groups, CMV-positive and CMV-negative on the basis of the CMV status pretransplant, and CMV-negative patients were kept CMV-negative by the local transfusion policy. In allogeneic BMT recipients, platelet recovery was significantly slower in CMV- positive patients than in CMV-negative patients (platelets greater than 50,000 cells/microL after 41 days v 27 days, P = .007). This difference held true when patients with acute graft-versus-host disease above grade I were excluded (platelets greater than 50,000 cells/microL after 42 days v 24 days, P = .01). In autologous BMT, the negative effect on platelet recovery was present in patients with lymphomas, but absent in patients with acute leukemias. Patients with acute leukemias had a very delayed recovery of platelets and granulocytes after autologous BMT, irrespective of the CMV status, probably due to the original stem cell disorder. Platelet recovery was significantly slower in CMV-positive autologous BMT recipients with lymphomas than in those not infected (platelets greater than 50,000 cells/microL after 36 days v 24 days, P = .0002). The presence of CMV infection had no effect on the recovery of granulocytes in autologous or allogeneic BMT. These data show that CMV infection causes delayed platelet recovery after BMT; however, in autologous BMT, the underlying disease (ie, acute leukemia) is more determinant for hematopoiesis after BMT.
Current clinical dental terminology;: A glossary of accepted terms in all disciplines of dentistry

This book is designed to improve communication amongst those involved in dental health care delivery. A complete dictionary of 6000 terms commonly used in dentistry, it is intended as an aid for the precise use of the written and spoken word in the field. New to this edition are 866 new terms, included for oral surgery, orthodontics, periodontics, operative dentistry, implants, orthognatic procedures, occlusion and temporomandibular joint disorders.