Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolving Agents to Recognize Plans and Emotions

Abstract Reasoning about agents that we observe in the world is challenging. Our available information is often limited to observations of the agent’s external behavior. To under-stand these actions, we need to deduce the agent’s internal state, which includes not only rational elements (such as in-tentions and plans), but also emotive ones (such as fear). In addition, we often want to predict the agent’s future actions, which are constrained not only by these inward characteris-tics, but also by the dynamics of the agent’s interaction with its environment. BEE (Behavior Evolution and Extrapola-tion) uses a faster-than-real-time agent-based model of the environment to characterize agents’ internal state by evolu-tion against observed behavior, and then predict their future behavior, taking into account the dynamics of their interac-tion with the environment. 1. Introduction A central challenge in many applications is reasoning from external observations of agent behavior to an estimate of their internal state motivated by a desire to predict the agent’s future behavior. Our observations are limited to the agent’s external behavior, which can frequently be summa-rized numerically as a trajectory in space-time (perhaps punctuated by actions from a limited vocabulary). How-ever, this behavior is driven by the agent’s internal state, which may involve high-level psychological and cognitive concepts such as intentions and emotions. This problem is traditionally known as “plan recogni-tion” or “plan inference. ” Most work focuses on recogniz-ing the rational state (as opposed to the emotional state) of a single agent (as opposed to an interacting community), and frequently takes advantage of explicit communications between agents (as in managing conversational protocols). Many realistic problems, including military combat, com-petitive business, and multi-player computer games, devi-ate from these conditions.
Journal of Clinical Pathology on the move

New look, new contents, new electronic submission and review! Design for journals as for the fashion industry is an essential requisite, needing ongoing change.1 The emphasis is to make our journals more visually interesting and accessible to readers. So, we hope you approve of the new design and layout, both outside and in. The cover changes will be immediately obvious and we hope popular. Internal changes affect the format of papers. They include the introduction of summary boxes, which authors will be encouraged to supply and use liberally. Editorials and commentaries have shorter snappy titles with greater detail given in subtitles. Reviews will have short abstracts or summary paragraphs, enabling them to appear in Medline. Technical changes involve the inclusion of banners, the provision of boxing and shading for tables, and the production of abbreviation lists on the first page of articles, giving the definitions of terms used. A major development for the journals in December 2000 was to …
Survey on Mutation-based Test Data Generation

The critical activity of testing is the systematic selection of suitable test cases, which be able to reveal highly the faults. Therefore, mutation coverage is an effective criterion for generating test data. Since the test data generation process is very labor intensive, time-consuming and error-prone when done manually, the automation of this process is highly aspired. The researches about automatic test data generation contributed a set of tools, approaches, development and empirical results. In this paper, we will analyse and conduct a comprehensive survey on generating test data based on mutation. The paper also analyses the trends in this field.
VisMOOC: Visualizing video clickstream data from massive open online courses

Massive Open Online Courses (MOOCs) are becoming increasingly popular and have attracted much research attention. Analyzing clickstreams on MOOC videos poses a special analytical challenge but provides a good opportunity for understanding how students interact with course videos, which in turn can help instructors and educational analysts gain insights into online learning behavior. In this poster, we develop a visual analytical system, VisMOOC, to help instructors analyze the clickstream data. VisMOOC consists of three main views: the List View to list all course videos for analysts to select the video they are interested in; the Content-based View to show how each type of click actions change along the video timeline, which enables the most viewed sections to be observed and the most interesting patterns to be discovered; The Dashboard View shows the information of the clickstream data in different aspects, including the course information, the geographic distribution, the video temporal information, the video popularity, and the animation. Furthermore, case studies made by the instructors demonstrate the usefulness of VisMOOC and helped them gaining deep insights into learning behavior for MOOCs.
Evaluating Bi-Relational Data Representation for Collaborative Filtering

Many collaborative filtering methods involve the use of an input matrix representing each user as a vector in a space of items and, analogically, each item as a vector in a space of users. In this paper we propose to use an element-fact matrix – in which columns represent RDF-like triples and rows represent users, items, and relations – in order to represent the behavioral input data of the form of (userX, likes, itemY) and (userX, dislikes, itemY) triples. Moreover, we provide the evaluation framework based on the use of AUROC measure, and two experimental settings – for the one-class and for the bi-relational collaborative filtering scenarios. One of the key findings of the research presented in this paper is that the proposed data representation scheme, while combined with reflective matrix processing, significantly outperforms state-of-the-art collaborative filtering methods based on the use of a ‘classical’ user-item matrix as the input data representation.
Design of an on-line dynamic magnetic flux analyzer based on double-buffer sliding DFT

An on-line dynamic magnetic flux analyzer for magnetic measurement is presented. The instrument achieves on-line harmonic analysis by means of an improved implementation of the sliding DFT algorithm on the basis of the Fast Digital Integrator [1]. In particular, the round-off error, unacceptable in digital integrators, is corrected by employing two buffers alternatively. Details about the structure of the instrument and the algorithm implementation are pointed out, and some experimental results are analyzed in order to validate the proposal.
Conditional health monitoring using vibration signatures

Condition health monitoring of dynamic systems based on vibration signatures has generally relied upon Fourier based analysis as a means of translating vibration signals in time domain into the frequency domain. The wavelet packet transform is introduced as an alternative means of extracting time-frequency information from vibration signatures. Moreover, with the aid of statistical based feature selection criteria, many feature components containing little discriminant information could be discarded resulting in a feature subset with reduced number of parameters. This significantly reduces the long training time that is often associated with neural network classifier and increases the generalization ability of the neural network classifier. To validate the feature extraction algorithm proposed, the simulations have been performed with the benchmark data known as Westland vibration data set. The results show significant improvement when the data is subjected to various white, colored and pink noise.
VHDL to SystemC: The Design of a Translator

VHDL and SystemC are both languages to describe or model circuits and systems. Reasons could exist for wanting to translate a model in VHDL to an equivalent model in SystemC. A system in SystemC can be needed for modeling a system with a software part, for a faster simulation, or because some tools only support SystemC. This thesis presents a tool that performs this translation from VHDL to SystemC. The tool is constructed like a regular compiler: It consists of a front-end that reads and analyzes VHDL code and a back-end that generates SystemC code. The front-end came from the FreeHDL project and we have made the back-end ourselves. The back-end generates SystemC code by traversing the tree that comes from the front-end. We have validated that the tool is suitable for simulation purposes and we have verified that the tool translates VHDL without problems in most cases we have seen in the wild.
Adaptive control of a robot manipulator in contact with a curved compliant surface

In this paper the problem of controlling the interaction of a robot manipulator with a compliant curved surface is considered. A task space is defined, where the control objective is specified in terms of one coordinate for the contact force, two coordinates for the end-effector position on the surface and a unit quaternion for the end-effector orientation. The controller design is carried out in a passivity framework and an adaptive algorithm is used to ensure force tracking when the stiffness coefficient of the environment is unknown. An experimental case study is developed on an industrial robot with open control architecture and a wrist force sensor.
Fourier-transform infrared spectrometric analysis for detecting colorectal carcinoma

OBJECTIVE: To assess the value of Fourier-transform infrared (FT-IR) spectroscopic analysis in detecting colorectal carcinoma. METHODS: Fifty pairs of specimens of exfoliated cells from patients with colorectal carcinoma, who had undergone colorectal resection, were analyzed by using FT-IR spectrometry. Exfoliated cells were obtained by scraping off: (i) the foci of the colorectal carcinoma; and (ii) the normal mucosa more than 5 cm away from the foci. Cell specimens were fixed and smeared onto two slides: a gold-coated slide for the infrared spectrometry and a conventional one for histopathological evaluation. The spectra from 28 pairs of specimens were analyzed by logistic regression with multiple factors to establish a statistical model for predicting the probability of colorectal cancers, and then the spectra of the remaining 22 pairs were judged according to the model. Their corresponding diagnostic accuracy was calculated. RESULTS: Substantial differences were found in the spectral properties of cancer and non-cancer cells, which were evident in the frequency region of 1000–1350/cm. A shift of the phosphodiester groups of nucleic acids was noted: compared with the spectral features of non-cancerous cells, the distance between VsPO2– and VasPO2– was shorter in cancerous cells. The C–O stretching bonds of cell proteins were significantly changed in the frequency region of 1140–1180/cm. In non-cancerous cells, the peak intensity of 1155/cm was stronger than that of 1174/cm, whereas in cancerous cells the peak intensity of 1155/cm was weaker than that of 1174/cm; the peak intensity ratio of 1174/cm : 1155/cm was increased in cancerous cells. The spectral characteristics of the spectrometric data from the 22 pairs of specimens were consistent with those of the base-model data. The other 22 pairs of specimens were analyzed according to the model, indicating that Fourier-transform infrared spectrometry can be used to discriminate cancerous cells from non-cancerous cells with a sensitivity of 90.91%, a specificity of 86.36%, a positive prediction value of 86.96% and a negative predictive value of 90.48%. CONCLUSIONS: Fourier-transform infrared spectrometry is of value in detecting colorectal cancer cells and it could be used as a rapid method for the clinical screening of malignant cells.
Comparison of Various Configurations of Hybrid Active Filter With Three Different Control Strategies

This paper presents a comparative analysis of various configuration of Hybrid Active filter with three control strategies which involves instantaneous p-q theory, d-q method, and the conventional method. A comparative evaluation of three control strategies for shunt active filter and hybrid active filter is carried out. A PI controller is used to control the dc capacitor voltage in all cases. The modeling of different configurations of hybrid active filter topologies is done using MATLAB/Simulink. KeywordsActive filters (AF), Passive filters, Instantaneous reactive power theory (p-q)
Efficient erasure recovery algorithm for double disk failure correction

Abstract This paper proposes an efficient parity placement scheme, Horizontal‐Oblique Parity (HOP), for protecting against double disk failures in RAID‐5 disk array systems. It keeps all data unencoded, and uses only exclusive‐or (XOR) operations to compute parity. HOP is provably near optimal in computational complexity, both during construction and reconstruction. It is optimal in the amount of redundant information stored and is sub‐optimal in its accessing. HOP works within a single stripe of blocks of sizes normally used by file systems, databases, and disk arrays.
The effect of Lisinopril on blood glucose level given alone and in combination with oral anti-diabetic drugs in alloxan-induced diabetic rats

Background: In diabetic patients, ACE (Angiotensin converting enzyme) inhibitors prevent the development and progression of incipient or established nephropathy and delay the progression of diabetic retinopathy hence these drugs are routinely prescribed with oral anti-diabetic drugs in these conditions. The picture of actual impact of ACE inhibitors on blood glucose is controversial and still not clear. This study therefore aimed to evaluate the effect of Lisinopril on blood glucose level and the interaction with the oral anti-diabetic drugs metformin, gliclazide and pioglitazone in alloxan induced diabetic rats.
Preliminary Research on Ancient Metallurgy in Sardinia: 1984

served several purposes. Shaw has already suggested the feeding trough. They may also have been used by the small piglets to gain access to the courtyard either to escape a ferocious mother or simply to exercise. They may have been used for manure removal from the compartments, although I feel that they are somewhat narrow openings to be truly convenient. The pig is susceptible to extremes in temperature. It is a naked animal which seeks shelter from heat, cold, sun, rain, wind and snow. These compartments were probably roofed, but I suggest that they would have been fairly open so ventilation could dissipate the summer heat (ill. 1).
Discrete-time modelling of brass and reed woodwind instruments with application to musical sound synthesis

This work deals with simulation of brass and reed woodwind instruments. The principal objective is to develop discrete-time models that are suitable for application in a musical sound synthesis environment. The main bulk of the thesis describes methods for linear modelling of the instrument air column. Using a travelling-wave based approach, the air column is modelled as a series of modules, each representing a part of the bore. New methods for digital modelling of brass and woodwind mouthpieces, woodwind toneholes, and brass bells are presented. The study also includes new methods for discrete-time modelling of conical bore sections. In addition, the mechanical behaviour of a clarinet reed is studied by means of a dis¬ tributed model that is formulated numerically using the finite-difference approach. Precise measurements of the reed shape and the mouthpiece lay geometry have been carried out in order to accurately simulate the bending of the reed against the lay during oscillation. An equivalent lumped oscillator model is formulated, and its properties are analysed in application to a reed-driven pipe simulation. In general, the discrete-time models described in this work are validated via comparison with either measurements or established acoustic theories. The modular approach taken in the derivation of these models allow for dynamic and intuitive control of the musically important simulation parameters.
Security Analysis of the Foxy Peer-to-Peer File Sharing Tool

Due to the cost-free client program available on the Internet and its simple user interface, Foxy gained its popularity a few years ago when students in upper primary schools and secondary schools started using it to share music and video files. Since the beginning of this year, Foxy has attracted lots of public attention, which include sharing of a pop icon’s scandal photos [9] and more recently, the unintended disclosure of sensitive documents by government officers [10, 11, 12, 14].
Variation in the clinical presentation of Plasmodium vivax and Plasmodium falciparum malaria in children: A hospital based study in Kanpur, India

Abstract In India, Plasmodium falciparum is recognized as an important cause of pediatric mortality and morbidity. However, recent observations suggest there is an increasing incidence of severe cases of P. vivax, including acute renal failure. All patients in the age group 0–15 yr, presenting with fever, admitted to the Department of Pediatrics, GSVM Medical College, Kanpur, during the study period were tested for malarial parasites. Those positive for P. vivax and/or P. falciparum were included in the study; clinical findings and laboratory investigations were recorded and analysed. A total of 112 subjects belonging to the age group 0–15 yr were included in the study. P. vivax was detected in 70 (62.5%) and P. falciparum in 42 (37.5%). Many patients with P. vivax demonstrated signs and symptoms of severe malaria, including respiratory symptoms in 12 (17.1%), abdominal symptoms in 39 (55.7%), central nervous system symptoms in 19 (27.1%), pallor in 60 (85.7%), icterus in 9 (12.9%), edema in 15 (21.4%), hypotension in 3 (4.3%), hepatomegaly in 49 (70%) and splenomegaly in 51 (72.9%). 12.9% of P. vivax patients had acute renal failure (ARF). There is a rising incidence of P. vivax cases causing severe malaria. ARF, which was previously considered to be only due to P. falciparum, is now also caused by P. vivax. P. vivax should no longer be considered a benign species causing only non-severe malaria.
What's the Catch? Reducing Consumption of Contaminated Fish among Anglers

In Southern California, white croaker caught within proximity to the Palos Verdes Shelf Superfund Site have been found to be contaminated with such high levels of dichloro-diphenyl-trichloroethane and polychlorinated biphenyls that fish consumption advisories recommend that this fish should not be consumed. In response to this risk, the U.S. Environmental Protection Agency has initiated an Angler Outreach Program designed to reduce the quantity of contaminated fish (specifically, white croaker) anglers bring back to the community. The current project describes the development of a community-based social marketing campaign targeting anglers, and reports results comparing the number of white croaker anglers took back to the community before and after a strategic intervention. Results indicate that the program was highly successful in positively modifying angler behavior. Postintervention results demonstrate that the strategic intervention reduced the number of white croaker entering the community by 93%, and also produced a large reduction in the percentage of anglers who left the fishing site with white croaker. In addition, anglers reported an increase in positive behavior with regard to their white croaker consumption habits.
Business faculty e-readiness and willingness towards online instruction

800x600 Online instruction provides a rich integrated environment, as recent innovative educational technologies are changing lives of both students and faculty staff. This research aims to investigate e-readiness and willingness of Business faculty staff towards online instruction, and whether their experience in using educational technologies influences their attitude. Survey methodology is facilitated through the use of the questionnaires. The survey domain is a random sampling of Business faculty staff in Egyptian HEI. The population for this study was 479 full-time Faculty staff, and only 456 returned and completed questionnaires are considered as the study sample. Results showed that faculty attitude toward online instruction is positive, which reflect their e-readiness and willingness to include online instruction, but experience in using educational technology did not significantly predict their attitude towards online instruction. The result of this research has significant implications to HEI when they plan, develop, and adopt online instruction strategies. Keywords: e-Learning, educational technologies, attitude, higher education Normal 0 21 false false false TR X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:. 0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";}
Failure recovery in memory resident transaction processing systems

A main memory transaction processing system holds a complete copy of its database in semiconductor memory. We present and compare, in a common framework, a number of strategies for recovery management in main memory transaction processing systems. These include strategies for asynchronously checkpointing the primary (main memory) database copy, and for maintaining a transaction log. Though they are not directly concerned with recovery management, we also consider strategies for updating the primary database, since they affect the performance of the recovery manager. The recovery strategies are compared using an analytic performance model and a testbed implementation. The model computes two performance metrics: processor overhead and recovery time. Processor overhead measures the impact of a recovery strategy during normal operation, i.e., the cost of preparing to recover from a failure. Recovery time is a measure of the cost of recovery once a failure has occurred. Generally, it is possible to reduce processor overhead by increasing recovery time, and vice versa. The model captures this tradeoff, the exact nature of which depends on which recovery strategies are used. Many of the recovery strategies have been implemented in a testbed, a working transaction processing system. The testbed allows recovery strategies to be combined and tested. It has been used to verify the performance model and to study other aspects of performance not considered in the model, such as data contention and transaction response times. The testbed runs on a large-memory VAX 11/785 using services provided by the Mach operating system. Our results indicate that the selection of a checkpointing strategy is the most critical decision in designing a recovery manager. In most situations, fuzzy, or unsynchronized, checkpointing strategies outperform highly synchronized alternatives. This is true even when synchronized checkpoints are combined with efficient logical logging strategies, which cannot be used with fuzzy checkpoints.