Miracle-dz/UniFAR-FTUs huggingface dataset:
Single Underwater Image Enhancement Based On UCIQE

In order to deal with the problems of low contrast and color distortion of underwater images, a single underwater image enhancement method based on UCIQE is designed in this paper. It estimates background light intensity by a quad-tree search algorithm and divides the image into many blocks based on the assumption that the transmittance of local blocks is equal. The objective function of each block is composed of UCIQE and the information loss function, and the transmittance is obtained at maximum value of the objective function. The global optimization of the overall transmittance image is carried out by using the guided filter. Experimental results demonstrate that this method can effectively solve the problem of color deviation and blur of underwater degraded images.
Development of lateral control strategies after exiting the highway : extending the lateral control in non-highway scenarios

This report presents the development procedure of automated lateral control strategies for non-highway conditions. The objective is to assist the front camera applications by enriching and extending the driving horizon by utilization of the digital map technology and the target following strategies. The implementation focuses on specific driving conditions where the lane marker information is temporarily unavailable for the front camera. The validation is performed on a simulated environment using the real life test data per predefined use case scenarios. The V-model system engineering approach is followed during the course of the work.
La Chirurgie Précoce du Strabisme Convergent Congénital

In Europe, early surgery for infantile esotropia is defined as surgery before 2 years of age for a strabismus of onset before 4 months. Subject to great controversy, the principal argument concerns binocularity, for some authors attainable with early surgery, for others an unreachable goal. In 2003, the European multicentric "Early versus Late Infantile Strabismus Surgery Study" compared the results of 2 groups of patients at 6 years of age, one having undergone early surgery, between the 6 t h and the 24 t h month of life (n = 231), the other later, between the 32 n d and the 60 t h month of life (n = 301). Although slightly better in the early surgery group, the level of binocular functions in the vast majority of cases does not exceed that of subnormal or anomalous binocularity, while to achieve an equivalent postoperative angle the number of operations required was greater with early surgery. Aside from the above-mentioned study, cases of normal binocular single vision have long been reported after early surgery on both sides of the Atlantic. In North America it is sometimes believed that the earlier the surgery, the better the binocularity, some authors advising very early surgery, before 6 months of age. However, such reasoning is open to controversy since extremely early intervention increases the risk of including cases where the diagnosis is not fully established, in particular certain intermittent forms of strabismus that would explain some of the excellent binocular results. The virtue of being preventive rather than curative does not, however, offset the non-negligible fact that very early surgery does increase the risk of a greater number of operations. Indeed, very early surgery raises more questions than it answers, and the best age at surgery remains a subject open to debate.
An efficient method for the dynamic modeling and analysis of Stewart parallel manipulator based on the screw theory

Dynamic modeling serves as the fundamental basis for dynamic performance analysis and is an essential aspect of the control scheme design of parallel manipulators. This report presents a concise and efficient solution to the dynamics of Stewart parallel manipulators based on the screw theory. The initial pose of these manipulators is described. Then the pose matrix of each link of the Stewart parallel mechanism is obtained using an inverse kinematics solution and an exponential product formula. Considering the constraint relationship between joints, the constraint matrix of the Stewart parallel manipulator is deduced. In addition, the Jacobian matrix and the twist of each link are obtained. Moreover, by deriving the differential form of the constraint matrix, the spatial acceleration of each link is obtained. Based on the force balance relationship of each link, the inverse dynamics and the general form of the dynamic model of the Stewart parallel manipulator is established and the process of inverse dynamics is summarized. The dynamic model is then verified via dynamic simulation using the ADAMS software. A numerical example is considered to demonstrate the feasibility and effectiveness of this model. The proposed dynamic modeling approach serves as a fundamental basis for structural optimization and control scheme design of the Stewart parallel manipulators.
Intrinsic Symmetry Detection on 3D Models with Skeleton‐guided Combination of Extrinsic Symmetries

The existing methods for intrinsic symmetry detection on 3D models always need complex measures such as geodesic distances for describing intrinsic geometry and statistical computation for finding non‐rigid transformations to associate symmetrical shapes. They are expensive, may miss symmetries, and cannot guarantee their obtained symmetrical parts in high quality. We observe that only extrinsic symmetries exist between convex shapes, and two intrinsically symmetric shapes can be determined if their belonged convex sub‐shapes are symmetrical to each other correspondingly and connected in a similar topological structure. Thus, we propose to decompose the model into convex parts, and use the similar structures of the skeleton of the model to guide combination of extrinsic symmetries between convex parts for intrinsic symmetry detection. In this way, we give up statistical computation for intrinsic symmetry detection, and avoid complex measures for describing intrinsic geometry. With the similar structures being from small to large gradually, we can quickly detect multi‐scale partial intrinsic symmetries in a bottom up manner. Benefited from the well segmented convex parts, our obtained symmetrical parts are in high quality. Experimental results show that our method can find many more symmetries and runs much faster than the existing methods, even by several orders of magnitude.
Effect of Intravenous Recombinant Tissue Plasminogen Activator on Ischemic Stroke Lesion Size Measured by Computed Tomography

Background and Purpose When given within 3 hours of symptom onset, recombinant tissue plasminogen activator (rtPA) improves outcome 3 months after ischemic stroke. Prespecified secondary end points of the National Institute of Neurological Disorders and Stroke (NINDS) rt-PA Stroke Trial were CT lesion volumes in the 2 treatment groups (tPA and placebo) at 24 hours, 7 to 10 days, and 3 months after stroke. Methods The trial included 2 independent studies, part I and part II, with identical methods of data collection. Before part I, uniform standards were established for CT scanning. CT images were obtained at baseline, 24 hours, 7 to 10 days, and 3 months after stroke onset and were reviewed centrally by reviewers blinded to treatment group and clinical findings. Since the individual studies were not powered to test for lesion volume differences, data from both parts of the trial were combined for all analyses. The primary analysis was conducted with the use of an intention-to-treat algorithm (including patients who died or were lost to follow-up). Measured lesion volume (excluding deaths and those lost to follow-up) was used as a secondary outcome in an exploratory analysis. Results After tPA treatment, there was a trend toward a reduction in 3-month median lesion volume in the tPA group: 15 cm3 (interquartile range, 2 to 87) compared with 24 cm3 (interquartile range, 4 to 101) in the placebo group (P =0.06, log model) with a reduction of 11% in cumulative lesion volume, computed with Smirnov’s D statistic. After exclusion of deaths and those lost to follow-up, similar trends toward positive treatment effects were seen at all time points. Conclusions The direction of the effect of tPA on CT lesion volume at all time points was consistent with the observed clinical effects at 3 months. CT lesion volume may not be as sensitive a measure of treatment effect as clinical evaluation, at least as used in this study. An intention-to-treat analysis for the radiographic end point in this acute ischemic stroke clinical trial is a less biased approach to account for missing radiographic data than an analysis that uses only measured radiological data.
Research on image style transfer method based on Generative Adversarial Networks

Image style transfer technology refers to converting an image into a similar image to the famous painting style by learning the famous painting style. The technology is mainly divided into two categories: one uses neural networks to achieve single-image style transfer, and the other uses multi-image style transfer implemented against the generation network, which can learn about mismatched image sets and realize the transfer of a writer’s overall work style. However, there is still room for improvement in training time and picture quality. The improvement mainly focuses on the introduction of the edge Gaussian smoothing process to preprocess the style image set, so that the generated image can preserve the clear edges of the original image. Improving the traditional residual element structure in the generation network reduces the calculation of network parameters to a certain extent, improves the calculation speed, and accelerates the convergence of the model.
Security in Computing: 5th Edition

The New State of the Art in Information Security: Now Covers Cloud Computing, the Internet of Things, and Cyberwarfare Students and IT and security professionals have long relied on Security in Computing as the definitive guide to computer security attacks and countermeasures. Now, the authors have thoroughly updated this classic to reflect todays newest technologies, attacks, standards, and trends. Security in Computing, Fifth Edition, offers complete, timely coverage of all aspects of computer security, including users, software, devices, operating systems, networks, and data. Reflecting rapidly evolving attacks, countermeasures, and computing environments, this new edition introduces best practices for authenticating users, preventing malicious code execution, using encryption, protecting privacy, implementing firewalls, detecting intrusions, and more. More than two hundred end-of-chapter exercises help the student to solidify lessons learned in each chapter. Combining breadth, depth, and exceptional clarity, this comprehensive guide builds carefully from simple to complex topics, so you always understand all you need to know before you move forward. Youll start by mastering the fields basic terms, principles, and concepts. Next, youll apply these basics in diverse situations and environments, learning to think like an attacker and identify exploitable weaknesses. Then you will switch to defense, selecting the best available solutions and countermeasures. Finally, youll go beyond technology to understand crucial management issues in protecting infrastructure and data. New coverage includes A full chapter on securing cloud environments and managing their unique risks Extensive new coverage of security issues associated with userweb interaction New risks and techniques for safeguarding the Internet of Things A new primer on threats to privacy and how to guard it An assessment of computers and cyberwarfarerecent attacks and emerging risks Security flaws and risks associated with electronic voting systems
Demand and Capacity Modelling of Acute Services Using Simulation and Optimization Techniques

i Acknowledgments . iii Table of contents . iv List of tables . ix List of figures . xii List of abbreviations . xiv CHAPTER 1: Introduction . 1 1.1 Brief background . 1 1.2 Aim of the thesis . 8 1.3 Contributions . 8 1.4 Outline of the thesis . 9 1.5 Summary . 13 CHAPTER 2: Literature Review . 14 2.
Integrating demand forecasts into the operational strategies of shared automated vehicle mobility services: spatial resolution impacts

ABSTRACT This study aims to evaluate and quantify the impact of demand forecast spatial resolution on the operational performance of a shared-use automated vehicle (AV) mobility service (SAMS) fleet. To perform the evaluation, this study employs an agent-based modeling framework that includes user requests, AVs, and an SAMS fleet controller. In the simulation, an SAMS fleet controller dynamically assigns AVs to on-demand user requests and repositions empty AVs throughout the service region to serve expected future demand requests. The fleet controller uses an offline demand forecast model and an online optimization model that jointly assigns AVs to users and repositioning trips. Results indicate that despite demand forecast quality decreasing at higher spatial resolutions, the operational efficiency of the SAMS fleet increases with higher spatial resolution forecasts (i.e. smaller subareas). Results also indicate that there is a significant operational value associated with improving short-term demand forecasts at high spatial resolutions.
Web Archaeology: An Introduction

In this special issue of TMG – Journal for Media History, the focus is on the web history and especially on practices of web archiving. It showcases examples on how to actively engage as media scholars or as librarians and archivists with web archives and archived web-related born-digital sources. While it explores methods that deal with existing web archives, it will also address questions such as how to trace material retrospectively. In that sense, it is taking a ‘web archaeological’ approach, meaning that the focus is on actively uncovering the history of the web in its early days, emphasising the role of ‘digging’ and ‘reconstructing’ as central methods in tracing material objects (software, hardware, terminals, hard drives, cables, et cetera) and born-digital objects (websites, web elements like banners or avatars, blogs and vlogs, and many other forms of user-generated content).
Acute Renal Failure Related to Implanted Antibiotic Impregnated Cement Joint Spacer

A 68-year-old female patient with extensive preexisting renal disease underwent explantation of an infected total knee arthroplasty with the common practice of inserting a cement spacer impregnated with both tobramycin and vancomycin. Four weeks later, she presented with acute renal failure, a toxic serum level of tobramycin, and a still detectable serum vancomycin level. This case illustrates the fact that systemic levels of potentially toxic antibiotics may be detectable weeks after implantation of the antibiotic-impregnated cement. More data are needed to rationally recommend nontoxic, heat-stable antibiotics that could be added to the orthopedically stabilizing spacers in 2-step replacements of infected prosthetic joints. Careful screening of patients for renal disease and risk is essential before using potentially toxic antimicrobial drugs for this purpose.
Chemoradiotherapy followed by surgery compared with surgery alone in squamous-cell cancer of the esophagus.

BACKGROUND We conducted a multicenter, randomized trial to compare preoperative chemoradiotherapy followed by surgery with surgery alone in patients with stage I and II squamous-cell cancer of the esophagus. METHODS The preoperative combined therapy consisted of two one-week courses; each involved radiotherapy, in a dose of 18.5 Gy delivered in five fractions of 3.7 Gy each, and 80 mg of cisplatin per square meter of body-surface area, administered 0 to 2 days before the first day of radiotherapy. The surgical plan included one-stage en bloc esophagectomy and proximal gastrectomy by the abdominal and right thoracic routes, to be performed immediately after randomization in the group assigned to surgery alone and two to four weeks after the completion of preoperative chemoradiotherapy in the group assigned to combined therapy. RESULTS A total of 297 patients entered the study; 11 were found to be ineligible, and 4 were lost to follow-up. Of the remaining 282, 139 were assigned to surgery alone and 143 to combined therapy. After a median follow-up of 55.2 months, no significant difference in overall survival was observed; the median survival was 18.6 months for both groups. As compared with the group treated with surgery alone, the group treated preoperatively had longer disease-free survival (P=0.003), a longer interval free of local disease (P=0.01), a lower rate of cancer-related deaths (P=0.002), and a higher frequency of curative resection (P=0.017). However, there were more postoperative deaths (P=0.012) in the group treated preoperatively with chemoradiotherapy. Three prognostic factors were found to influence survival in a multivariate analysis: the disease stage, based on computed tomography; the location of the tumor; and whether the surgical resection was curative. CONCLUSIONS In patients with squamous-cell esophageal cancer, preoperative chemoradiotherapy did not improve overall survival, but it did prolong disease-free survival and survival free of local disease.
Smart-Contract-Based Economical Platooning in Blockchain-Enabled Urban Internet of Vehicles

To improve the urban traffic condition and reduce accidents, we propose a platoon-driving model for autonomous vehicles in a free-flow traffic state in this article. This model allows vehicles with successful path matching to be grouped in a platoon and led by the platoon head (PH). In addition, a PH selection scheme is introduced to provide an incentive for vehicles to be PHs and maintain the dynamic update of platoons. Next, a smart contract is employed to enable the payment based on a blockchain between the PH and platoon members (PMs), avoiding the malicious and false payments. The numerical results show that the platoon model is superior to the individual driving model in terms of fuel consumption. The comparison between carpooling and noncarpooling modes within the platoon shows that our model has a better performance in terms of PH revenue and PM's service charge.
Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling

Clustering of multipath components (MPCs) is an important aspect of propagation channel modeling. When a time series of measurements, based on movement of transmitter and/or receiver, is available, the temporal evolution of MPCs can be used as a basis for clustering. We present an algorithm that bases clustering not only on distance of MPCs in the delay/angle space, but also how similar the temporal evolution of their parameters are. Sample results obtained from a vehicle-to-vehicle measurement campaign show good performance of the proposed algorithm.
IMPROVING GROSS MOTOR SKILLS BY GROSS KINESTHETIC-AND CONTEMPORARY-BASED PHYSICAL ACTIVITY IN EARLY CHILDHOOD

It is often heard the differences in opinion that with a lot of physical activity will make a child stupid. This experimental study aimed to determine the effect of kinesthetic-based and contemporary physical activity on early childhood on increasing gross motor skills. Research subjects were 68 children aged 5-6 years, 28 girls and 40 boys, divided into two groups, group A was treated with kinesthetic-based physical activity and group B received contemporary treatment. The instruments used to collect data on gross motor abilities consisted of five types, namely 20 meter sprinting, arm power by throwing a tennis ball, power legs with long jump without the start, balance by walking on a long beam 4 meters, and agility with Illinois tests. The results show that kinesthetic-based physical activity and contemporary-based activities can significantly increase gross motor skills in young children and seen from the difference in the mean effectiveness of kinesthetic-based physical activities is better for improving running ability, agility and balance, while the ability to throw a ball and the ability to jump better physical activity based on contemporary.
Weighted distributed consensus algorithm based on label propagation algorithm

In the practical application of multi-agent system, the convergence rate of the distributed consensus algorithm becomes slow with the expansion of the communication topology. In order to accelerate the convergence rate of distributed consensus under complex topology, in the paper, based on the fast linear iterations distributed consensus algorithm, a weighted distributed consensus algorithm based on label propagation algorithm was proposed. In the algorithm, firstly based on label propagation algorithm, the complex topology was composed into two layer of topologies, in the first layer of topology, the information was exchange each other within the same community, in the second layer of topology, the information was exchange within the different communities . The consensus firstly was reached in the first layer of topology, then the consensus was reached in the second of layer topology. The analysis and simulation of the convergence performance and the convergence speed were done. The results show that the average consensus can be reached in the weighted distributed consensus, and the convergence rate of the proposed algorithm was higher than that of the fast linear iterations distributed consensus algorithm.
TuPaladar: aplicación para sugerencia de menús basada en predicción de gustos

Currently we are living in a digital society which uses apps on the internet every tiny detail in our life. Moreover, it does that we have a lot of possibilities to improve our digital uses mostly in mobile phone. TuPaladar is a mobile application, which integrates Mechanisms of Machine Learnig through the Bayes Classification algorithm, for the prediction of personalized food tastes and give advice of ideals choice for users in order to have a good restaurant experience. In addition, it incorporates detailed information of allergen contents throughout the menu of the restaurants. This application has been developed using the RUP working methodology and the modeling and design of its components through UML. TuPaladar has a web language-based architecture, Angular, using the Ionic Framework, which incorporates the technological advantages of developing hybrid mobile applications, like to generate applications portable for any mobile architecture.
Total knee arthroplasty: Techniques and results Providing a patient with a pain-free, stable knee joint that will last a long time can be achieved by focusing on five surgical goals.

While osteoarthritis re - mains the most common indication for total knee replacement, the num- ber of primary total knee arthroplas- ties performed annually has increas - ed exponentially over the last 55 years. Outcomes have improved with the use of careful preoperative assessment, a range of component options, and operative technique guided by clear surgical goals. Informed consent of any patient con- templating total knee arthroplasty must be obtained by discussing the risks and benefits and explaining that between 80% and 85% of patients are satisfied after the procedure.