Miracle-dz/UniFAR-FTUs huggingface dataset:
A Flexible Wildcard-Pattern Matching Accelerator via Simultaneous Discrete Finite Automata

Regular expression matching becomes indispensable elements of Internet of Things network security. However, traditional ternary content addressable memory (TCAM) search engine is unable to handle patterns with wildcards, as it precisely tracks only one active state with single transition. This paper proposes a promising simultaneous pattern matching methodology for wildcard patterns by two separated engines to represent discrete finite automata. A key preprocessing to encode possible postfix pattern by a unique key ensures that follow-up patterns can accurately traverse all possible matches with limited hardware resources. This approach is practical and scalable for achieving good performance and low space consumption in network security, and it can be applicable to any regular expressions even with multiwildcard patterns. The experimental results demonstrate that this scheme can efficiently and accurately recognize wildcard patterns by simultaneously tracking only two active states. By adopting SRAM TCAM in the proposed architecture, the energy consumption is reduced to around 39%, compared with the energy consumption using a computing system that contains a large memory lookup and comparison overhead.
Fuzzy logic based Multi-modal medical Image fusion of MRI-PET Images

Image Fusion is a technique that integrates complementary information from multiple images such that the fused image is more suitable for processing tasks. The project starts with the study of initial concepts for image fusion. In this project, the fusion of images from different sources using fuzzy logic with preprocessing of Image Fusion is proposed. The fused image has more complete information which is useful for human or machine perception. The fused image with such rich information will improve the performance of image analysis algorithms for medical applications. In existing method, they used Non-Sub sampled Contourlet Transform (NSCT) for multimodal image fusion. In this project, we propose fuzzy logic for multi modal medical image fusion and also we analyze its performance. Fuzzy logic is used to detect the edge pixels and fuse its information to enhance the medical images
Power and international accounting standard setting: Evidence from segment reporting and intangible assets projects

– This study provides significant empirical data and analysis on the international standard‐setting process as conducted by the forerunner of the International Accounting Standards Board (IASB). It reveals the influences from four key stakeholder groups (users, preparers, accountants, and regulators) in order to ascertain why International Accounting Standards (IAS) turn out the way they do. , – In‐depth interviews with board representatives and content analysis of documents were used to provide triangulating perspectives. The concept of power from the sociological and political science literature provides the theoretical lens. The standard setting projects on segment reporting and intangible assets were studied in detail. , – The results show that the process can be best characterized as a mixed power system where no party is accorded the absolute power potential to dictate IAS. Nonetheless, while the user group is the target beneficiaries of IAS, the preparer group has significant influence, as inferred from the changes made to the IAS in line with the preparers' preferences. , – There is always the possibility of researchers missing out on “secret” exercise of power, given that the focus of this study was on “public” paths of influence. After this study, the IASB's meetings became open to public, providing new opportunities for future research. , – This paper contributes to understanding accounting standard setting for international harmonization.
Beta barrel trans-membrane proteins: Enhanced prediction using a Bayesian approach

Membrane proteins, which constitute approximately 20% of most genomes, form two main classes: alpha helical and beta barrel transmembrane proteins. Using methods based on Bayesian Networks, a powerful approach for statistical inference, we have sought to address β-barrel topology prediction. The β-barrel topology predictor reports individual strand accuracies of 88.6%. The method outlined here represents a potentially important advance in the computational determination of membrane protein topology.
Odorant receptor expression as a function of neuronal maturity in the adult rodent olfactory system

Odorant receptors (ORs) are expressed in a spatially restricted manner in the mammalian olfactory epithelium (OE), and this patterning probably contributes to innervation specificity within the olfactory bulb (OB). Furthermore, glomerular targeting appears to be contingent on receptor choice. Central to the mechanism by which ORs influence axonal specificity is the timing of OR expression during the life cycle of the olfactory sensory neurons (OSNs). Data indicate that OSNs express ORs in the absence of the OB but do not address whether OR expression is an early event in OSN differentiation. Accordingly, we evaluated whether ORs are expressed in mature [olfactory marker protein (OMP+)] and/or immature [growth‐associated protein of 43 kDa m.w. (GAP‐43+)] OSNs by assessing the expression of the P2 OR subtype via immunostaining for β‐gal and concurrent OMP or GAP‐43 expression in P2‐IRES‐tauLacZ mice. Nearly 90% of P2+ OSNs expressed OMP, whereas approximately 10% expressed GAP‐43. One month after unilateral bulb ablation, the number of P2+ OSNs decreased on the lesioned side; however, the percent of P2+/GAP‐43+ OSNs dramatically increased. We also determined that onset of P2 OR expression is slightly delayed when evaluated in the context of neuronal differentiation. Additionally, we defined the expression of OR+ OSNs in the OE of rats via in situ hybridization with a panel of eight ORs followed by OMP immunostaining. All eight ORs were found in neurons situated throughout the height of the OE, including those OSNs deep to OMP staining, thus demonstrating definitively that ORs are expressed prior to the maturational state defined by OMP expression. J. Comp. Neurol. 459:209–222, 2003. © 2003 Wiley‐Liss, Inc.
Region-of-interest based rate control scheme with flexible quality on demand

Conventional rate control schemes focus on making output bit rate approach a target value and are deficient in ensuring a higher quality of ROI (Region of Interest) than others in a frame. In this paper, we propose a new scheme for H.264/AVC, aiming to allocate more bit resource for the encoding of ROI and still maintain the accuracy of the output bit rate. ROI-based rate control algorithms can find their specific advantages in video telephony and video surveillance applications. Our proposed scheme is based on the one implemented in H.264/AVC JM software, but enhanced with several features: ROI determination with saliency map, tunable quality factor for ROI, two-channel (ROI & non-ROI) rate control, and QP adjustment with constraints from temporal and spatial domains, as well as from ROI/non-ROI adjacency boundaries. Experiment results show both advantages in objective PSNR and subjective evaluations for ROI, while making the output bit rate accurate as before.
Spanning tree routing strategies for divisible load scheduling on arbitrary graphs — A comparative performance analysis

In this paper, we evaluate and compare the performance of several spanning tree routing strategies for divisible load scheduling on arbitrary graphs and derive recommendations as to which routing strategy provides a better trade-off between complexity and time performance. We consider a network comprising heterogeneous processors interconnected by heterogeneous links in an arbitrary manner. We evaluate the performance over a wide range of arbitrary dense graphs with varying connectivity and processor densities and study the effect of network scalability. In addition, we introduce a novel spanning tree routing strategy, which is referred to as minimum equivalent network spanning tree (EST), and analyze its performance. We apply the resource-aware optimal load distribution with optimal sequencing (RAOLD-OS) scheduling algorithm presented in the literature for obtaining an optimal solution. This study attempts to pool all known and applicable divisible load scheduling algorithms for arbitrary networks and presents a collective and comparative view of their performance.
Length and orientation constancy learning in 2-dimensions with auditory sensory substitution: the importance of self-initiated movement

A subset of sensory substitution (SS) devices translate images into sounds in real time using a portable computer, camera, and headphones. Perceptual constancy is the key to understanding both functional and phenomenological aspects of perception with SS. In particular, constancies enable object externalization, which is critical to the performance of daily tasks such as obstacle avoidance and locating dropped objects. In order to improve daily task performance by the blind, and determine if constancies can be learned with SS, we trained blind (N = 4) and sighted (N = 10) individuals on length and orientation constancy tasks for 8 days at about 1 h per day with an auditory SS device. We found that blind and sighted performance at the constancy tasks significantly improved, and attained constancy performance that was above chance. Furthermore, dynamic interactions with stimuli were critical to constancy learning with the SS device. In particular, improved task learning significantly correlated with the number of spontaneous left-right head-tilting movements while learning length constancy. The improvement from previous head-tilting trials even transferred to a no-head-tilt condition. Therefore, not only can SS learning be improved by encouraging head movement while learning, but head movement may also play an important role in learning constancies in the sighted. In addition, the learning of constancies by the blind and sighted with SS provides evidence that SS may be able to restore vision-like functionality to the blind in daily tasks.
Conflict and coalition models in inhomogeneous power allocation for wireless sensor networks

In a Wireless Sensor Network (WSN), the heterogeneous types of sensors can be viewed as intelligent agents that interact with each other locally. The sensors interact with each other either in a cooperative way to form coalitions or in a noncooperative way to deal with conflicts. In this way, the sensors ultimately form desirable topology patterns in terms of various applications. This article addresses the transmit power control problem of sensor networks in the context of two different but related situations: noncooperative game versus cooperative game. Heterogeneity poses challenges to system design of WSN, while practical applications require a distributed power control algorithm to ensure reliability as well as power efficiency. We analyzed the rationales for both assumptions and the corresponding applicability in WSN. The solution concepts in both circumstances are proposed. We study both the utility function for individual nodes and the characteristic function for a coalition to achieve desirable frame success rate and node degree while minimizing the power consumption. We propose power allocation algorithms for network formation resulting from both selfish nodes and cooperative nodes.
The Relationship Between the Mean Deviation Slope and Follow-up Intraocular Pressure in Open-angle Glaucoma Patients

Purpose:The purpose of this study was to analyze the relationship between the mean deviation (MD) slope as the progressive rate of visual field defects and the follow-up intraocular pressure (IOP) in open-angle glaucoma (OAG) patients. Methods:This study was a retrospective, nonrandomized comparative study. A total of 287 eyes from 287 Japanese OAG patients were examined. The MD slope of the Humphrey Field Analyzer was calculated and compared with the follow-up IOP. OAG was classified into the high-tension group (>21 mm Hg) and the normal-tension group (⩽21 mm Hg) on the basis of the highest recorded IOP without treatment, and then the 2 groups were compared. After setting a threshold for the progression rate at −0.3 dB/y, related factors were compared between the fast-progression and slow-progression eyes in each group. Results:The correlation line between the follow-up IOP and the MD slope was statistically significant in the high-tension group but not in the normal-tension group. Compared with eyes with slow progression, eyes with fast progression in the high-tension group were older and had a higher mean IOP, greater highest and lowest IOPs, and a smaller mean IOP reduction ratio, whereas eyes with fast progression in the normal-tension group had a greater SD of the mean IOP, a larger IOP range, and a greater highest IOP. Conclusions:Eyes with a faster visual field progression tended to have a higher follow-up IOP in the high-tension group and larger IOP fluctuations in the normal-tension group of OAG patients. We should monitor both the follow-up IOP and fluctuations in IOP to provide a safer and more reliable visual field prognosis for OAG.
A 32/16-Gb/s Dual-Mode Pulsewidth Modulation Pre-Emphasis (PWM-PE) Transmitter With 30-dB Loss Compensation Using a High-Speed CML Design Methodology

Pulse-width modulation pre-emphasis (PWM-PE) is a relatively new technique for compensating severe losses in wireline channels by varying the duty cycle of the transmitted pulse. The technique has been demonstrated upto 5 Gb/s and requires high-speed digital logic to accomodate narrow pulses in the transmitted bit stream. This work targets data rates beyond 10 Gb/s and extends PWM-PE to 4-PAM signals in addition to binary mode transmission. The target speed is achieved by designing the transmitter using current mode logic (CML) blocks that combine relatively large logic swings and incomplete switching of the tail current. Implemented in a 0.13-¿m CMOS process to accommodate the wide output swing of 1.2 Vpp per side, the transmitter compensates upto 30 dB loss at one-half the symbol rate and operates up to 16 Gsymbols/s.
Medical Conditions Affecting Sports Participation

Children and adolescents with medical conditions present special issues with respect to participation in athletic activities. The pediatrician can play an important role in determining whether a child with a health condition should participate in certain sports by assessing the child's health status, suggesting appropriate equipment or modifications of sports to decrease the risk of injury, and educating the athlete, parent(s) or guardian, and coach regarding the risks of injury as they relate to the child's condition. This report updates a previous policy statement and provides information for pediatricians on sports participation for children and adolescents with medical conditions.
Sensorless Control of BLDC Motor Drive for an Automotive Fuel Pump Using a Hysteresis Comparator

This paper develops the brushless dc (BLDC) motor sensorless control system for an automotive fuel pump. The sensorless techniques that are based on a hysteresis comparator and a potential start-up method with a high starting torque are suggested. The hysteresis comparator is used to compensate for the phase delay of the back EMFs due to a low-pass filter (LPF) and also prevent multiple output transitions from noise or ripple in the terminal voltages. The rotor position is aligned at standstill for maximum starting torque without an additional sensor and any information of motor parameters. Also, the stator current can be easily adjusted by modulating the pulse width of the switching devices during alignment. Some experiments are implemented on a single chip DSP controller to demonstrate the feasibility of the suggested sensorless and start-up techniques.
Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

Abstract : This report describes recent significant enhancements to DidFail (Droid Intent Data Flow Analysis for Information Leakage), the CERT static taint analyzer for sets of Android apps. In addition to improving the analyzer itself, the enhancements include a new testing framework new test apps, and test results. A framework for testing the DidFail analyzer, including a setup for cloud-based testing was developed and instrumented to measure performance. Cloud-based testing enables the parallel use of powerful, commercially available virtual machines to speed up testing. DidFail was also modified to use the most current version of FlowDroid and Soot, increasing its success rate from 18% to 68% on our test set of real-world apps. Analytical features were added for more types of components and shared static fields and new apps developed to test these features. The improved DidFail analyzer and the cloud-based testing framework were used to test the new apps and additional apps from the Google Play store.
Juvenile Diversion and the Get-Tough Movement in Japan

In Japan, the police and the public prosecutor must send all juvenile cases to the Family Court. A fter the cases being referred, the Family Court Probation Of cer conducts social investigation about the personality of juveniles and the social backgrounds. It functions as social casework and works practically as diversion. This is re ected in practice, in that more than 80% of the cases sent to the Family Court are dismissed without or after hearings. There is, however, an obvious trend of overemphasis on crime control and a contrasting decline of the educative function. The Juvenile L aw was revised in 2000 to expand criminal prosecution and punishment for juveniles. The number of commitment to the Juvenile Correction Centre is also increasing. Decline of educative function caused the deterioration of social casework in the Family Court. The recent get-tough movement has also accelerated the deterioration. Retribution and deterrence is emphasized in disposing juvenile cases. The Family Court Probation Of cers are pressured to investigate the facts concerning retribution and deterrence such as public and victim’s demand for stringent disposition. These changes have had an adverse effect on the practice of diversion. It was indicated that the primary reason for the low crime rate in Japan was a quite low rate of re-offending by the juveniles who had been processed through juvenile justice after being in their late teens. It was argued that juvenile justice, together with the good condition of the economy and labour market, had been encouraging the reintegration of juveniles and effectively preventing their re-offending. A central role in the reintegrative function has been performed by social casework . It has been diverting many juveniles from formal protective measures and returning them to the community. Thus an essential task of juvenile justice reform should be the restoration of social casework . R. L. R.
Fast and Accurate Preordering for SMT using Neural Networks

We propose the use of neural networks to model source-side preordering for faster and better statistical machine translation. The neural network trains a logistic regression model to predict whether two sibling nodes of the source-side parse tree should be swapped in order to obtain a more monotonic parallel corpus, based on samples extracted from the word-aligned parallel corpus. For multiple language pairs and domains, we show that this yields the best reordering performance against other state-of-the-art techniques, resulting in improved translation quality and very fast decoding.
Design alternatives for shared memory multiprocessors

We consider the design alternatives available for building the next generation DSM machine (e.g., the choice of memory architecture, network technology, and amount and location of per-node remote data cache). To investigate this design space, we have simulated five applications on a wide variety of possible DSM architectures that employ significantly different caching techniques. We also examine the impact of using a special purpose system interconnect designed specifically to support low latency DSM operation versus using a powerful off the shelf system interconnect. We found that two architectures have the best combination of good average performance and reasonable worst case performance: CC-NUMA employing a moderate sized DRAM remote access cache (RAC) and a hybrid CC-NUMA/S-COMA architecture called AS-COMA or adaptive S-COMA. Both pure CC-NUMA and pure S-COMA have serious performance problems for some applications, while CC-NUMA employing an SRAM RAC does not perform as well as the two architectures that employ larger DRAM caches. The paper concludes with several recommendations to designers of next generation DSM machines, complete with a discussion of the issues that led to each recommendation so that designers can decide which ones are relevant to them given changes in technology and corporate priorities.
Association between APOE ε4 Genotype and Memory Impairment in Elderly with Normal Global Cognitive Assessment

Aim: Early prediction using cognitive evaluation tools that are less influenced by education level is beneficial for dementia screening. This study investigated the relationship between Word List Memory Immediate Recall (WLM IR) and the Saving Score (SS) with having the APOE ε4 risk allele in the elderly with normal global cognitive assessment. Methods: A cross-sectional study on 105 subjects ≥60 years with normal MMSE scores who met inclusion criteria. Memory impairment (MI) if: WLM IR score on the third trial <8 or an SS score <80%. Results: The majority of the subjects were female (68.6%), 65 ± 7.1 years, had undertaken formal education for <6 years (56.2%), had MI (81%), and the APOE ε4 genotype was detected in 24.8% of subjects. There was a significant relationship between APOE ε4 and lower WLMIR (p = 0.02, OR 7.92, CI 95% (1.00–62.38)). Conclusions: WLM IR score is lower in elderly people with the APOE ε4 despite their normal global cognitive assessment results, and these scores were not influenced by education level. Further research needs to confirm that the WLM IR can be used to screen for early dementia.
Possessing Spirits and Healing Selves: Embodiment and Transformation in an Afro-Brazilian Religion

1. Introduction: Stepping Into "This Supernatural World" of Candomble 2. Reflections on the Challenges and Rewards of Integrative Research 3. Sometimes Affliction is the Door: Healing and Transformation in Narratives of Mediumship 4. Looking inside: Biological Mechanisms and Embodiment in Candomble Trance and Possession 5. Healing the Embodied Self in Candomble 6. Conclusion: Stepping Back
Multimodal telepresent control of DLR's Rollin' JUSTIN

This video presents a telepresence system which enables a human operator to explore a remote environment by means of a multimodal man machine interface and rollin' JUSTIN as teleoperator. The man machine interface allows for bimanual, dexterous manipulation and, through two different operating modi of the man machine interface, wide area movement as well. A bimanual assembly task, consisting of grasping a connector, opening and closing it again, is shown in this video.
Applications to network analysis : Graph partitioning and community detection Lecture notes

• Denote by |S| its cardinality (that is, the number of its elements), by S̄ its complement (that is, S̄ = V \ S) and by 1S its characteristic vector, that is (1S)i = 1 if i ∈ S and 0 otherwise. • Let volS = ∑ i∈S di be the volume of S (recall that di is the degree of node i). Note: volS = d1S . • Let ein(S) = 1SA1S and eout(S) = 1SA(1 − 1S) = volS − ein(S). Note: eout(S) is the number of edges joining S with S̄ while ein(S) is twice the number of edges whose endpoints are both in S.