Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-touch focus+context sketch-based interaction

In this paper we present a Focus+Context screen for combined pen and touch interaction. A tabletop display presents contextual information and enables multi-touch detection for navigation through frustrated total internal reflection (FTIR). A high resolution pen enabled display is continuously localized on the tabletop. It is used as a movable focus display and pen input device. The resulting system has a large virtual resolution for both display and pen interaction. We demonstrate the advantages of Focus+Context for pen-based interaction in combination with multi-touch navigation in applications that make use of sketch-based interfaces.
Analysis on Factors Affecting Decision-making of Migrant Population in Large Cities of China

In this paper,based on survey data of four cities' migrant population in 2008,we use multi-level Logit model to analyze the factors of individual and areas of destination which have impact on migration behavior of migrant population in large cities.We find that there are large changes in the behavior of migrants: firstly,the rise in the proportion of migrant citizens has led to the effects of gender,marital status and household type and other factors on the probability of migration are not significant,and the migration is appearing to base on the family unit;Secondly,due to the discrimination against migrants in employment and wage income,and the upgrade of industrial structure,the attractiveness of the increasing jobs to the migrant population has declined,and migrants' expected income is detaching from the income level of urban residents;Thirdly,the growth of urban labors' average wage has extrusion effect on the employment of the migrant labors in the informal sector,which reduces the probability of potential migrant population.
Simultaneous and successive visual discrimination by monkeys with inferotemporal lesions.

Impairment in the performance of visual discriminations following inferotemporal cortical resections appears to be related to the parameter of "difficulty" (3, 5, 7), difficulty being defined in terms of the performance scores achieved by a control group on a given series of tasks. In a recent experiment (4) the difficulty of a discrimination was gradually increased by varying the physical dimensions (size) of the discriminanda: Although the animals with inferotemporal resections achieved perfect scores on the initial discrimination, they showed a decrement in performance (compared with controls) when the difference between the stimuli was reduced. The present experiments were designed to investigate whether such decrement occurs only when difficulty is a function of the physical dimensions of the discriminanda, or whether the impairment may be revealed, as well, when difficulty is a function of certain "situational" variables which determine the differential response. In the two experiments reported below all animals were first trained to criterion on a particular discrimination and then transferred to one or more variations of that discrimination using the identical discriminanda.
TCP-Jersey over high speed downlink packet access

TCP performance over wireless networks is critical as the Internet gradually expands to the wireless territory. Traditional TCP schemes have been proven to be inefficient for the wireless network, as they are designed and optimized for the wired network. Recently, schemes that are aimed to improve TCP performance in wireless networks have been proposed. In particular, TCP-Jersey, a TCP scheme that was designed for heterogeneous network consisting of wired and wireless links, has shown significant improvement over other TCP variants. In this paper, performance of TCP-Jersey over high speed downlink packet access (HSDPA) in the Universal Mobile Telecommunication System (UMTS) is evaluated and compared with other TCP variants through detailed system modeling and extensive simulations. The result shows that TCP-Jersey produces significant goodput improvement over other TCP variants tested
2 Robotic Memory Examined : Shakey vs . Genghis

Much of the success of behavior based robotics can be attributed to the minimal representation approach proposed by Brooks in the mid-eightiesBrooks (1991). However, this has lead to a general “fear of state” which in turn leads to a neglect of the role of state in intelligent control. This paper discusses the need for propagating decision points in action selection in order to coordinate complex behavior. It also proposes a mechanism for doing this while maintaining reactive responsiveness to the real world. This mechanism involves the use of fixed action patterns and specialized behavior prioritization. The result is to focus control attention without prescribing a fixed course of action. Topic Areas: Internal world models, Action selection
MULTI-SCALE TEMPORAL SEGMENTATION AND OUTLIER DETECTION IN SENSOR NETWORKS

Monitoring multimodal data generated by sensor networks for extracting information is a challenging task for the human observer. To manage the barrage of data, one needs to create mechanisms for identifying only those time intervals which are informative and worthy of further highlevel analysis either by machine or the human observer. We regard a time interval to be informative and contain an event if it is uncommon or distinct from routine background. Different events in general may unfold at different temporal scales. Here, we present a non-parametric distribution based approach for event detection in sensor network data. In this approach we employ multiple sliding windows at different scales to obtain the distribution of the data. We segment the temporal data stream and identify the potential event bearing candidates by comparing the present and past statistical behavior of the data. In the experiments we demonstrate the effect of optimum bin width selection on accuracy and the range of allowable window sizes and therefore time scales. We analyze the computational speed as well as the supporting empirical results on the bin width. Index Terms — Event detection, multi-scale signal analysis, change detection, outlier detection, temporal analysis, stream segmentation, sensor networks
Insuring Halal Food Interlocking Institutional Worlds Integrity Using an Ontology Server

Ontology servers are used to manage ontologies; is an information system that provides a number of functionalities during design, commit, and run time. Ontologies are widely used to overcome the problem of interoperability and assist in simplify interoperability among participants. Interlocking institutional worlds (IWS) are a collection of organizations interact together in order to achieve some business goals. Ontologies are consisting of two types of entities, the first for describing data of specific domain (classes, subclasses, Attributes etc), and the second for describing actions that will take place within an specific domain and resulting in changing the first one status. To insure that all (Actions) transactions within the IWs are valid and done in legal way, all transactions must be recorded and make it available for all participants, but current ontology case tools do not nearly provide representation of Instances of these transactions. Furthermore, both endurants and perdurants of the ontology need to be managed in order to be stored, retrieved and inferred. This paper is reporting on this problem using Halal Food supply Chain as an instance of IWs.
Recovering Connected Error Region Based on Adaptive Error Concealment Order Determination

Parts of compressed video streams may be lost or corrupted when being transmitted over bandwidth limited networks and wireless communication networks with error-prone channels. Error concealment (EC) techniques are often adopted at the decoder side to improve the quality of the reconstructed video. Under the conditions of a high rate of data packets that arrives at the decoder corrupted, it is likely that the incorrectly decoded macro-blocks (MBs) are concentrated in a connected region, where important spatial reference information is lost. The conventional EC methods usually carry out the block concealment following a lexicographic scan (from top to bottom and from left to right of the image), which would make the methods ineffective for the case that the corrupted blocks are grouped in a connected region. In this paper, a temporal error concealment method, adaptive error concealment order determination (AECOD), is proposed to recover connected corrupted regions. The processing order of an MB in a connected corrupted region is adaptively determined by analyzing the external boundary patterns of the MBs in its neighborhood. The performances, on several video sequences, of the proposed EC scheme have been compared with those obtained by using other error concealment methods reported in the literature. Experimental results show that the AECOD algorithm can improve the recovery performance with respect to the other considered EC methods.
Modeling Flexible Business Processes with Business Rule Patterns

In the paper, we investigate principles for modeling flexible business processes enhanced by business rules. In our work, we start from a set of rule patterns, which are identified in the literature as a mean for increasing flexibility of business processes. The previous work on these patterns only considered the implementation level, but not the implications on the modeling level. Moreover, the potential for business process flexibility have not been fully leveraged due to some limitations in externalization of business logic into business rules. In this work, we report on the experience in modeling the set of rule patterns by using a rule-enhanced business process modeling language (rBPMN), and demonstrate the applicability of our findings on a business process case study.
Mitigating denial of capability attacks using sink tree based quota allocation

Network capabilities have been proposed to prevent Distributed Denial of Service (DDoS) attacks proactively. A capability is a ticket-like token, checkable by routers, that a server can issue for legitimate traffic. Still, malicious hosts may swamp a server with requests for capability establishment, essentially causing possible Denial-of-Capability (DoC). In this paper, we propose an algorithm to mitigate DoC attacks. The algorithm divides the server's capacity for handling capability requests into quotas. Quotas are allocated based on a sink tree architecture. Randomization and Bloom filters are used as tools against threats (attacking scenarios). We both analytically and experimentally show that legitimate hosts can get service with guaranteed probability. We also address issues on fault-tolerance and the deployment of the approach proposed.
Earnings Capacity and the Target Efficiency of Alternative Transfer Programs

The standard indicator of family economic status is annual money income (A MI). The official Social Security Administration (SSA) definition of poverty is based on AMI, as are analyses of economic inequality among families. The limitations of A MI as an indicator of economic position are well known. It fails to incorporate the value of human and physical capital, in-kind public transfers and other public services, intrafamily flows of income and services, and leisure time. ' The ranking of families by A MI thus may yield a distorted picture of the relative economic status of any given family. One problem of A MI is its dependence on the taste for income: a family with a strong taste for income will rank higher than an identical family with a weaker taste. Thus, if the wife in but one of two identical families chooses to work, or if the head chooses to be a craftsman rather than a farmer, that family will rank higher than the other family. In these cases, the difference in ranking reflects a difference in tastes for using economic resources rather than a difference in the level of economic resources. Evaluation of the equity effects of alternative income transfer programs depends on the measure of the economic status of beneficiaries which is employed. One evaluative criterion-that of "target efficiency" concerns the extent to which programs focus their benefits on specified target groups.2 When the target group is the poverty population, and when families are classified as poor or nonpoor by the AMI measure, the results of the evaluation may be misleading. Evaluation of program alternatives by this measure may bias choice away from programs which assist families with few economic resources but relatively high tastes for money income. In this paper, we develop an alternative indicator of family economic position, based not on family AMI but rather on a family's ability to generate income when it uses its human and physical capital at capacity. We call this measure earnings capacity. This indicator both purges tastes for work from the measurement of economic position and abstracts from temporary fluctuations in income.3 The compo* Associate professor of social work and staff member of the Institute for Research on Poverty, University of Wisconsin-Madison, and professor of economics and director of the Institute for Research on Poverty, University of Wisconsin-Madison, respectively. David Betson assisted with the paper. 1 Efforts to develop a more comprehensive indicator of a family's command over goods and services include: James Morgan, Martin David, Wilbur Cohen, and Harvey Brazer; Burton Weisbrod and W. Lee Hansen; and Michael K. Taussig. 2 The concept "target efficiency"-the percent of program benefits to pretransfer poor families-was suggested by Weisbrod. I Such fluctuations can substantially influence a family's ranking in the money income distribution. By
On the projection of ditransitive verbs *

This paper deals with the problem of the projection of arguments, i.e., how the arguments of a predicate are integrated into a syntactic structure. My starting point is the model offered in Borer (1993). This model is defined by Borer as a 'syntactic predicate based account' of the projection of arguments. In the next section I will briefly sketch the different approaches to the problem of argument projection, bringing some evidence from variable behaviour verbs that motivates a predicate-based syntactic account. Borer's model is presented in the third section. Finally, I examine a case which was not dealt with in Borer (1993), that of ditransitives, and suggest some modifications to that model.
Reframing the Early Childhood Curriculum: Educational Imperatives for the Future

1. Children's Rights and Adult's Responsibilities: Reinterpreting Educational Ethics 2. Four and Five Year Old Children's Understanding of Time and Future 3. Futures Studies: A Catalyst for Social and Educational Change 4. Futures Studies and Education 5. Futures Studies and Early Childhood Education 6. Applying Futures Concerns to the Early Childhood Curriculum 7. Applying Futures Values to the Early Childhood Curriculum 8. Early Childhood Professionals as Agents of Change
An efficient heap management technique with Minimum Fragmentation and Auto Compaction

Heap management is responsible for the allocation of heap segments to a running application. When the logic of the heap management is left to the application programmer, as it is the case with programming languages like C and C++, a number of problems may arise. One kind of problems related to imperfect heap management is that of memory fragmentation. Hence compaction of data is required to increase the efficient data storage capacity of the memory. Depending on whether active blocks within the heap may be shifted in position, one of the two approaches to compaction is possible: partial compaction and full compaction. But both these methods are too expensive and hence they are generally not used in large program modules. In this paper a new heap management technique MFAC (Minimum Fragmentation and Auto Compaction) is proposed which has an inherent auto compaction technique in its algorithm leading to minimum fragmentation of memory space. Simulation results show that in most scenarios, MFAC outperforms the 1st fit and best fit technique by a considerable margin.
A Novel Reconfigurable Computing Architecture for Image Signal Processing Using Circuit-Switched NoC and Synchronous Dataflow Model

In this paper, a novel reconfigurable architecture is proposed for multifunctional image signal processing systems. A circuit-switched NoC is used to provide interconnection because the non-TMD links ensure fixed throughput, which is a desirable behavior for computational intensive image processing algorithms compared with packet-switched NoC. Image processing algorithms are modeled as synchronous dataflow graphs which provide a unified model for general computing procedure. An image processing system is considered as several temporally mutually exclusive algorithms. Thus, their dataflow graph representations could be considered as a group and a merging algorithm could be applied to generate a union graph while eliminating spatial redundancy for area consumption optimization. After the union graph have been mapped and routed on the NoC, the reconfigurable system could be configured to any of its target image processing algorithms by properly setting the NoC topology. Experiments show the demo reconfigurable system with two image processing applications cost 26.4% less hardware resource, compared with the non-reconfigurable implementations.
Pedestal profiles and fluctuations in C-Mod enhanced D-alpha H-modes

High resolution measurements on the Alcator C-Mod tokamak [I. H. Hutchinson et al., Phys. Plasmas 1, 1551 (1994)] of the transport barrier in the “Enhanced Dα” (EDA) regime, which has increased particle transport without large edge localized modes, show steep density and temperature gradients over a region of 2–5 mm, with peak pressure gradients up to 12 MPa/m. Evolution of the pedestal at the L-H transition is consistent with a large, rapid drop in thermal conductivity across the barrier. A quasi-coherent fluctuation in density, potential, and Bpol, with f0∼50–150 kHz and kθ∼4 cm−1, always appears in the barrier during EDA, and drives a large particle flux. Conditions to access the steady-state EDA regime in deuterium include δ>0.35, q95>3.5, and L-mode target density ne>1.2×1020 m−3. A reduced q95 limit is found for hydrogen discharges.
Polarization Variability Arising from Clumps in the Winds of Wolf-Rayet Stars.

Polarimetric and photometric variability of Wolf-Rayet (WR) stars as caused by clumps in the winds is revisited. In our model, which is improved from Li et al., radial ex- pansion of the thickness is accounted for, but we retain dependence on the fl velocity law and stellar occultation effects. We again search for parameters that can yield results con- sistent with observations in regards to the mean polarization ", the ratio R = aep=aephot of polarimetric to photometric variability and the volume filling factor fV. Clump gener- ation and spatial distribution are randomized by the Monte Carlo method so as to produce clumps which are, in the mean, distributed uniformly in space and have time intervals that obey a Gaussian distribution. The generated clumps move radially outward with a velocity law determined by a fl index, and the angular size of clumps is assumed to be fixed. By fitting the observed aep=aephot and the volume filling factor fV, clump velocity law index fl (» 2) and clump ejection rate N (» 1) are inferred, and are found to be well constrained. In addition, the subpeak features of broad emission lines seem to support the clump ejection rate. Meanwhile, the fraction of total mass loss rate that is contained in clumps is obtained by fitting observed polarization. We conclude that this picture of the clumps' properties produces a valuable diagnostic of WR wind structure.
A Business Intelligence System

An automatic system is being developed to disseminate information to the various sections of any industrial, scientific or government organization. This intelligence system will utilize data-processing machines for auto-abstracting and auto-encoding of documents and for creating interest profiles for each of the "action points" in an organization. Both incoming and internally generated documents are automatically abstracted, characterized by a word pattern, and sent automatically to appropriate action points. This paper shows the flexibility of such a system in identifying known information, in finding who needs to know it and in disseminating it efficiently either in abstract form or as a complete document.
Ochratoxin a reduces NMDA receptor subunits 2A and 2B concentrations in rat hippocampus: partial protective effect of melatonin

Ochratoxin A (OTA) is a mycotoxin produced by several fungi. Many foods can be contaminated by OTA, which is consequently found in the blood of humans and animals. It is known that OTA accumulates in the brain. The aim of this study was to investigate the effects of OTA on the brain. For this purpose, the effect of OTA on N-methyl-Daspartate (NMDA) receptor subunits 2A (NR2A) and 2B (NR2B) in the hippocampus and the protective effect of melatonin were investigated. Three groups of eight rats were used: controls, OTA-treated rats (OTA dose 289 mg/ kg per day) and OTA-melatonin-treated rats (melatonin dose 10 mg/kg per day). After four weeks of treatment, electrophoretic examinations were performed using SDSpolyacrylamide gel electrophoresis and Western blotting of hippocampal homogenates of the different groups. The concentrations of NR2A and NR2B in the OTA group were significantly lower than in the control group. The concentration of NR2B was significantly increased when melatonin was co-administered with OTA compared with OTA only. There was also a significant increase in NR2A levels when melatonin was co-administered with OTA. As a result, subchronic administration of OTA reduced hippocampal NMDA receptor subunits 2A and 2B concentrations in rats. It was thought that this alteration might affect cognitive functions because hippocampal NMDA receptors are involved in the memory and learning processes. Melatonin exhibited a partially protective effect on NR2A and NR2B against OTA.
Schwarzschild solution on a space-time with torsion

We obtain the Schwarzschild solution based on teleparallel gravity (TG) theory formulated in a space-time with torsion only. The starting point is the Poincar\UNICODE{0xe9} gauge theory (PGT). The general structure of TG and its connection with general relativity (GR) are presented and the Schwarzschild solution is obtained by solving the field equations of TG. Most of calculations are performed using the GRTensorII package, running on the MapleV platform.
A Novel Synchronization Technique for Fast and Accurate Multi-core Instruction-set Simulation

This paper proposes a synchronization technique for fast and accurate Multi-Core Instruction-Set Simulation (MCISS). Traditionally, a lock-step approach, which synchronizes every cycle, is commonly used to achieve accurate simulation results of MCISS. However, this approach results in immense overhead and low simulation speed. Rather than synchronizing every cycle, our approach synchronizes the MCISS based on the data dependency among the simulated programs. Consequently, the synchronization overheads can be highly reduced while the accurate simulation results are ensured. With the proposed technique applied, the simulation speed of MCISS is up to 40 ~ 1,000 million instructions per second (MIPS) in general.