Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Implementation of NIDS String Matching Based on SOPC

String matching is a key problem in many network processing applications. Current implementations of this process using software are time consuming. This paper presents a string matching system that based on FPGA. This paper uses DM9000A to receive network data and uses Snort rule and HashMem function to match pattern. With software simulation the conflict pattern of Snort rules found out and processed separately. In the system, conflict can be high-speed solved. With the PC handle string matching that more than 16 Byte, the FPGA processing speed has improved greatly . The experimental results show that the system throughput is 1.22Gbps, more than 20 times of the software method. When processing more Snort rules system throughput is not affected. Experimental results show that the system can quickly adapt to the demand for hardware reconfiguration and meet the network application requirements.
Vici Syndrome: A Case Report of Non-Identical Twins with Oculo- Cutaneous Albinism, Recurrent Infections and Absent Corpus Collasum

Vici syndrome is a rapidly progressive, neurological disease of childhood. It is associated with complete agenesis of the corpus collasum, occulocutaneous albinism, immunodeficiency, cardiomyopathy and neuromuscular defects. This a case report of non identical twins who presented with failure to thrive, seizures, developmental delay associated with albinism, absent corpus collasum, and recurrent infections.
Reconstruction of Object Surface from Multi-View Images Improved by Image Forces

: Currently available techniques for surface reconstruction from multi-view images require a large number of images in order to assure high surface resolution and precise detail reconstruction. Obtaining such big number of images in some cases is impossible; moreover, it may impose high preparation cost. Therefore, to address this drawback, a novel method is presented. This method is based on the visual hull approach. It assumes to be able to reconstruct three dimensional manifolds without edge from images, the number of necessary images should be as small as possible, and the quality of reconstructed mesh should be good. Applying this method for four images from a dino dataset proved the proposed method works well.
Using simulation and virtual machines to identify information assurance requirements

The US military is changing its philosophy, approach, and technologies used for warfare. In the process of achieving this vision for high-speed, highly mobile warfare, there are a number of issues that must be addressed and solved; issues that are not addressed by commercial systems because Department of Defense (DoD) Information Technology (IT) systems operate in an environment different from the commercial world. The differences arise from the differences in the scope and skill used in attacks upon DoD systems, the interdependencies between DoD software systems used for network centric warfare (NCW), and the need to rely upon commercial software components in virtually every DoD system. As a result, while NCW promises more effective and efficient means for employing DoD resources, it also increases the vulnerability and allure of DoD systems to cyber attack. A further challenge arises due to the rapid changes in software and information assurance (IA) requirements and technologies over the course of a project. Therefore, the four challenges that must be addressed are determining how to specify the information assurance requirements for a DoD system, minimizing changes to commercial software, incorporation of new system and IA requirements in a timely manner with minimal impact, and insuring that the interdependencies between systems do not result in cyber attack vulnerabilities. In this paper, we address all four issues. In addition to addressing the four challenges outlined above, the interdependencies and interconnections between systems indicate that the IA requirements for a system must consider two important facets of a system's IA defensive capabilities. The facets are the types of IA attacks that the system must repel and the ability of a system to insure that any IA attack that penetrates the system is contained within the system and does not spread. The IA requirements should be derived from threat assessments for the system as well as for the need to address the four requirements challenges outlined above. To address these issues, we developed a system architecture and acquisition approach designed to separate the system's IA capabilities requirements and development from the other system capability requirements; thereby, allowing the IA capabilities to be developed rapidly and assessed separately from the other system capabilities. Simulation environments and technologies allow us to test and evaluate solutions to the issues while also insuring that the system being tested and the solution are not exposed to real-world threats.
Pepsinogen Assay as a Marker of Reflux in Children with Otitis Media with Effusion

Background: Otitis media with effusion remains the most common cause of deafness in childhood. Reflux of gastric contents into the nasopharynx and then into the middle ear cleft has been reported as a contributing factor in the development of OME. Objective: To investigate the relationship between gastro esophageal reflux diseases (GERD) and Otitis media with effusion (OME) by evaluation of the presence of gastric pepsinogen in middle ear fluid of children with OME. Materials and Methods: In this prospective study, middle ear effusions as well as blood samples were collected from 25 patients suffering from OME and undergoing bilateral myringotomy with ventilation tube insertion. Total pepsinogen concentrations of effusions and serum samples were measured with an enzyme-linked immuno sorbent assay (ELISA) using Human Pepsinogen I ELISA Kit. Results: 64% (16 cases) of the study sample (25 children) were found with pepsinogen in the middle ear effusions while 36% (9 cases) were not found to have pepsinogen in the middle ear. The concentrations of pepsinogen measured in the effusions were found to be higher than the levels found in the serum of the same patients as detected in each case separately. Conclusion: GERD should be considered one of the contributing factors in the etiopathogenesis of OME.
Motivating and discouraging factors for Wikipedians: the case study of Persian Wikipedia

Purpose – The purpose of this paper is to investigate how Wikipedians are motivated, or discouraged, to contribute to Farsi (Persian) Wikipedia.Design/methodology/approach – In this grounded theory study, face‐to‐face semi‐structured interviews were conducted with a sample of 15 active users of Persian Wikipedia. The interviews then were transcribed and coded using Strauss and Corbin's method which included constant comparison of data.Findings – Editing and writing incentives, as well as deterrents, were extracted from the data. Findings indicated that motivating factors can be classified into two categories of internal and external. Internal motivations could be individual or cognitive motivations or be related to Wikipedia structure. Also, some factors such as permanent access to the internet can be considered as external motivations for contribution to Wikipedia. On the other hand, content production and improvement of Wikipedia in local language was the strongest reason for contribution; entertainment.
Queueing Theory in Practice

Queueing theory evolved originally out of an investigation of problems dealing with the design of telephone systems. Now, some 70 years later, we are witnessing a tremendous accumulation of theoretical results for “idealized” systems that apparently have not been as effective in dealing with other types of real-life problems. Queueing theory differs from other mathematical techniques of Operations Research in that it does not deal with optimization models. Rather, it utilizes mathematical analysis to determine the system's measures of effectiveness such as the expected waiting time per customer and the facility's percentage of idle time. These measures are then used as data in the context of an optimization (cost) model for determining the system's capacity. The obstacles in applying queueing theory to practical problems occur both in modeling the system mathematically and in determining its optimum design parameters. This paper identifies the areas of application in terms of their amenability to analysis by queueing theory, and provides suggestions that can enhance the applicability of queueing models in real life.
Kinematics of Self-Reconfigurable Robotic System

Kinematics of Self-Reconfigurable Robotic System Theory of mechanisms with variable structure in robotic applications self-reconfigurable structures is one of the directions of development of robotics. On our faculty is developed self-reconfigurable modular robotic system capable of rebuilding a structure according to the requirements of the current task. To perform kinematic changes of its structure we needs to have information on where to find the modules and their submodules. Therefore it is necessary to know the mathematical relationship between the positions of its individual parts. Spatial kinematic chains is investigated based on the theory of simultaneous movements, where the position of each member is specified in the global coordinate system using local coordinate systems associated with individual members. To identify the position of the individual local coordinate systems were used transformation matrix, the accuracy of which is verified in mathematical programs and results from these programs are then compared with results of movement analysis notified by simulation procedures.
Force-Based Compliance Controller Utilizing Visual Information for Motion Navigation in Haptic Bilateral Control System

This paper proposes a force-based compliance control method utilizing visual information that can be integrated with a haptic system for motion navigation tasks. The force generated on the basis of useful image information of the tracked object is utilized to provide a response to the bilateral control system. An eye-to-hand approach is used to magnify the information from the vision sensor. The control strategy, image processing method, and integration techniques are elaborated upon in detail. Four experiments were conducted using different distances between the camera and object to validate the proposed integration method. The effectiveness of the proposed method was evaluated through a comparison with the conventional bilateral control method.
Hybrid Prediction Approach Based on Weekly Similarities of Traffic Flow for Different Temporal Scales

Traffic flow prediction is considered a key technology of intelligent transportation systems. This paper presents a hybrid model that combines double exponential smoothing (DES) and a support vector machine (SVM) to predict traffic flow patterns on the basis of weekly similarities in traffic flow. First, in the hybrid model, DES is applied to predict the future data, and its smoothing parameters are determined by the Levenberg–Marquardt algorithm. Second, the SVM is employed to estimate the residual series between the prediction results by the DES model and actual measured data. In the SVM model, the cross-correlation rule is used to optimize its parameters. Third, a case study to test the proposed model with the data at different temporal scales is presented. Furthermore, data-smoothing strategies, including difference and ratio schemes based on weekly similarities, are applied as data processes before prediction. The proposed hybrid model along with the processing scheme demonstrates superiority in prediction accuracy compared with autoregressive integrated moving average, DES, and DES-SVM models.
Credit-based fair scheduling in ad hoc wireless networks

This paper studies fair scheduling in ad hoc wireless networks. We propose a credit-based mechanism to ensure fairness for best effort flows. Each flow is associated with a credit value, and is scheduled based on the concept of "the less excess in usage value, the higher the transmission priority". The network is logically partitioned into clusters, each with a scheduler, and an unique code. The schedulers first assign time slots to mobiles in the affiliated clusters. The mobile scheduled to send at the next time slot then in turn assign the time slot to a flow. Each scheduler operates independently, and together, they allow flows in the network to share bandwidth in a fair way. We have also performed simulations to validate the proposed mechanism. The results show that the proposed mechanism provides fair share of bandwidth to all flows, and also improves overall system throughput.
Alternatives to Handprinting in the Manual Entry of Data

Many automated data-handling systems still require the handprinting of entries on special forms as an initial step. This investigation sought and evaluated methods for bypassing handprinting in the manual entry of data into computers. Three laboratory experiments were performed to obtain data on human performance rates in various input modes, including writing, printing, marking, and keying with both print and scope feedback. It is estimated that conversion to new input methods might initially slow down the input rate of analysts who formerly handprinted their entries but that practice would be likely to restore former speeds.
Oxidant Mechanisms in Renal Injury and Disease.

SIGNIFICANCE A common link between all forms of acute and chronic kidney injuries, regardless of species, is enhanced generation of reactive oxygen species (ROS) and reactive nitrogen species (RNS) during injury/disease progression. While low levels of ROS and RNS are required for prosurvival signaling, cell proliferation and growth, and vasoreactivity regulation, an imbalance of ROS and RNS generation and elimination leads to inflammation, cell death, tissue damage, and disease/injury progression. RECENT ADVANCES Many aspects of renal oxidative stress still require investigation, including clarification of the mechanisms which prompt ROS/RNS generation and subsequent renal damage. However, we currently have a basic understanding of the major features of oxidative stress pathology and its link to kidney injury/disease, which this review summarizes. CRITICAL ISSUES The review summarizes the critical sources of oxidative stress in the kidney during injury/disease, including generation of ROS and RNS from mitochondria, NADPH oxidase, and inducible nitric oxide synthase. The review next summarizes the renal antioxidant systems that protect against oxidative stress, including superoxide dismutase and catalase, the glutathione and thioredoxin systems, and others. Next, we describe how oxidative stress affects kidney function and promotes damage in every nephron segment, including the renal vessels, glomeruli, and tubules. FUTURE DIRECTIONS Despite the limited success associated with the application of antioxidants for treatment of kidney injury/disease thus far, preventing the generation and accumulation of ROS and RNS provides an ideal target for potential therapeutic treatments. The review discusses the shortcomings of antioxidant treatments previously used and the potential promise of new ones. Antioxid. Redox Signal. 25, 119-146.
The Good Food Box Pilot Project as a Contribution to Addressing Food Accessibility in the Elderly

The Good Food Box (GFB) is a program that offers fresh produce to community members. The implementation of a GFB pilot project targeting the elderly in Cote Saint-Luc (CSL) is described. Feasibility is evaluated in terms of partnerships necessary to realize the project and suitability of the GFB among seniors. Outcomes, lessons learned, and future directions are also discussed. GFBs were delivered biweekly for 10 weeks to 14 participants over the age of 65 years. Baseline and final surveys were administered to assess user satisfaction and effects of the project. Overall, participants were satisfied, finding the location convenient and the produce to be of excellent quality. Respondents also indicated an increased quantity of fresh fruits and vegetables in their home and an enhanced connection with the community. Many participants commented on excessive quantity and difficulty preparing certain products, demonstrating that the GFB may not be practical for all seniors. Smaller quantities and volunteer assis.
Advanced colour processing for mobile devices

Mobile devices such as smartphones are going to play an important role in professionally image processing tasks. However, mobile systems were not designed for such applications, especially in terms of image processing requirements like stability and robustness. One major drawback is the automatic white balance, which comes with the devices. It is necessary for many applications, but of no use when applied to shiny surfaces. Such an issue appears when image acquisition takes place in differently coloured illuminations caused by different environments. This results in inhomogeneous appearances of the same subject. In our paper we show a new approach for handling the complex task of generating a low-noise and sharp image without spatial filtering. Our method is based on the fact that we analyze the spectral and saturation distribution of the channels. Furthermore, the RGB space is transformed into a more convenient space, a particular HSI space. We generate the greyscale image by a control procedure that takes into account the colour channels. This leads in an adaptive colour mixing model with reduced noise. The results of the optimized images are used to show how, e. g. , image classification benefits from our colour adaptation approach.
Characterization of multivariate cardiovascular dynamics during head-up tilting based on Kullback-Leibler divergence

In this paper, multivariate cardiovascular dynamics during head-up tilting is investigated as an augmenting process of sympathetic activities. Characteristically in spectral profiles, a respiration-induced rhythm in each variable is reduced, and alternatively the Mayer wave components in blood pressure and heart rate signals become distinct, as a tilting angle increases. These spectral features are shown to be originated from closed-loop impulse responses which show the longer lasting response from HR to HR and the delayed response from HR to BP in contrast with those from BP to HR and from BP to BP which exhibit no systematic changes. The newly introduced Kullback-Leibler divergence consistently differentiates tilting-angle-dependent multivariate cardiovascular dynamics. The results here suggest that the Kullback-Leibler divergence could provide synthetic characterization of the autonomic regulations.
Sequence characteristics of multi-level and second-order sigma-delta modulated signals

A characteristic sequence pattern of first-order binary sigma-delta (SD) modulated signals was found recently and the pattern detectors are applied to various piecewise linear (PWL) circuits. However, practical analog-to-digital and digital-to-analog converters often employ second and higher-order SD modulations and multi-level oversampled data format. This paper presents sequence features of first-order multi-level and second-order binary SD modulated signals. In addition, the results of investigating the sequence features are applied to PWL-based nonlinear signal processing and signal measurement. The designed signal processing and measurement circuits are lower in hardware complexity than Nyquist-rate long word-length circuits of the same functions.
Social class differences in mortality of men: recent evidence from the OPCS Longitudinal Study.

Social class differences in male mortality by age and cause of death [in England and Wales] are presented using the most recently available data (1976-89) from the OPCS Longitudinal Study. Consistent differences in mortality by social class (as defined by occupation) are found through to the late 1980s. On a scale of increasing mortality disadvantage mortality of men in Social Class I [professional] was the lowest and mortality of men in Social Class V [unskilled] was the highest. (EXCERPT)
Computer-produced Unclassed Bivariate Choropleth Maps

Many cartographers subscribe to the view that unclassed choropleth maps and multivariate choropleth maps exceed map readers' abilities to process visual information. This paper examines recent evidence which controverts both of these beliefs and discusses applications of a computer program, BICHOR, designed to produce unclassed bivariate choropleth maps interactively on a line plotter or CRT. The maps utilize crossed-line symbolism and putatively overcome both the quantization error inherent in conventionally classed choroplethic displays and the perceptual difficulties associated with color-encoding schemes used for earlier bivariate maps.
A Probabilistic Routing Algorithm Based on Node Free Buffer-Utilization in Delay Tolerant Network

This Delay/Disruption Tolerant Network(DTN) is a New Network Architecture for Communication in Restricted Condition with High Latency and Intermittent Connectivity.In Order to Solve the Problem that Messages can Not be Delivered Reliably because of Mobility and Limited Buffer Size of Nodes in DTN,a Probabilistic Routing Algorithm Based on Node Free Buffer-Utilization (NFBU)is Proposed.The Algorithm Sets Node Free Buffer Warning/excitation Threshold,through Warning/incentive Factor to Increase/decrease the Node Forwarding Probability,and Set up the Buffer Management Strategy,message Time to Live(TTL)value is Smaller,the Higher its Priority,at the same Time Remove the Oldest Message to get more Buffer Space.Simulations Indicate that the Algorithm Improves Delivery Ratio and Reduces Network Latencies in Different Node Free Buffer-Utilization State Compared with some other Routing Algorithms,and it is Highly Adaptable to Network.
Effective ACPS-Based Rescheduling of Parallel Batch Processing Machines with MapReduce

MapReduce is a highly efficient distributed and parallel computing framework, allowing users to readily manage large clusters in parallel computing. For Big data search problem in the distributed computing environment based on MapReduce architecture, in this paper we propose an Ant colony parallel search algorithm (ACPSMR) for Big data. It take advantage of the group intelligence of ant colony algorithm for global parallel search heuristic scheduling capabilities to solve problem of multi-task parallel batch scheduling with low efficiency in the MapReduce. And we extended HDFS design in MapReduce architecture, which make it to achieve effective integration with MapReduce. Then the algorithm can make the best of the scalability, high parallelism of MapReduce. The simulation experiment result shows that, the new algorithm can take advantages of cloud computing to get good efficiency when mining Big data.
The Research on Stability of Diffusion and Competition Between Online Topics

Online topics are becoming an important form of network information communication, and are playing a significant role in consensus formation. When several online topics are published at the same time, the spread of these topics will affect each other. We propose a model to study the development tendency of relationship between two different online topics. We make use of stability theory of differential equations to analyze the model, utilize the phase trajectory to analyze the stability of the equilibrium point, and finally simulate the model with actual data and varied parameters. Simulation results indicate that the proposed model is useful in understanding and explaining the phenomena presented in the diffusion of online topics, especially the interaction and competition among different topics.