Miracle-dz/UniFAR-FTUs huggingface dataset:
Influencing Leading and Following in Human-Robot Teams

Recent efforts in human-robot interaction have been focused on modeling and interacting with single human agents. However, when modeling teams of humans, current models are not able to capture underlying emergent dynamics that define group behavior, such as leading and following. We introduce a mathematical framework that enables robots to influence human teams by modeling emergent leading and following behaviors. We tackle the task in two steps. First, we develop a scalable representation of latent leading-following structures by combining modelbased methods and data-driven techniques. Second, we optimize for a robot policy that leverages this representation to influence a human team toward a desired outcome. We demonstrate our approach on three tasks where a robot optimizes for changing a leader-follower relationship, distracting a team, and leading a team towards an optimal goal. Our evaluations show that our representation is scalable with different human team sizes, generalizable across different tasks, and can be used to design meaningful robot policies.
Seeing and Knowing Ability of Rhesus Macaques (Macaca mulatta)

SEEING AND KNOWING ABILITY OF RHESUS MACAQUES (MACACA MULATTA) SEPTEMBER 2007 CHRISTINE A. MAJOR, B.S., UNIVERSITY OF MASSACHUSETTS AMHERST M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Melinda A. Novak Attribution of knowledge refers to equating a shared visual perspective with shared information, a characteristic of human behavior. However, there is considerable debate as to whether nonhuman primates understand the significance of gaze and will select a treat from an experimenter that looks at them as opposed to one that does not. In previous studies, chimpanzees could not differentiate between looking and nonlooking experimenters. However, treats were held in the hands, a considerable distance from the face. We asked whether a group of five rhesus monkeys (Macaca mulatta) could discriminate lookers from nonlookers. We eliminated the problem of focusing on the hands by holding treats in close proximity to the experimenters’ eyes. Monkeys were trained to use an apparatus to select an experimenter. All five subjects were subsequently able to discriminate between experimenters holding different food rewards, even when these rewards were placed out of the monkey’s view. Two of the monkeys could also select the experimenter who initially held a desirable treat after the treat was hidden and
CONTROLLER WITH OUTPUT FEEDBACK USING LINEAR MATRIX INEQUALITIES FOR APPLICATION IN BUILDING MODEL

Experimental verification of structural vibrations control strategies is essential for eventual full-scale implementations. However, few researchers have facilities readily available to them that are capable of even smallscale structural control experiments. Appropriately constructed bench-scale models can be used to study important aspects of full-scale structural vibrations control implementations, including: control-structure interaction, actuator and sensor dynamics, states feedback design, control spillover, etc. In this sense, the purpose of this article is the project of H∞ controller with output feedback using linear matrix inequalities (LMIs) for vibration attenuation in a flexible building like structure. The considered structure is manufactured by Quanser Consulting Inc., and it is controlled by an active mass driver (AMD). The structure consists of a steel frame with a controllable mass located at the top, which can be configured to have either 1 or 2 floors. In this paper, a 2-floor configuration is employed. The actual experiment considered herein is an effective way to deal with challenges associated with active control of flexible structures.
ANTI-LIPIDPEROXIDATIVE AND ANTIOXIDANT EFFECTS OF ZINGIBER OFFICINALE ROSCOE ROOT EXTRACT IN 7, 12-DIMETHYL BENZ(A) ANTHRACENE INDUCED ORAL CARCINOGENESIS

Summary The present study has investigated the chemopreventive and antilipidperoxidative efficacy of Zingiber officinale Roscoe aqueous root extract in 7,12Dimethylbenz[a]anthracene (DMBA) induced hamster buccal pouch carcinogenesis. Oral squamous cell carcinoma was induced in hamster buccal pouches by painting with 0.5% 7, 12-Dimethylbenz[a]anthracene (DMBA) three times per week for 14 weeks. 100% tumor formation, altered levels of lipid peroxidation and antioxidants status were observed in DMBA painted hamsters. Oral administration of Zingiber officinale Roscoe aqueous root extract significantly prevented the tumor formation as well as decreased the levels of lipid peroxidation by products and enhanced the antioxidants defense mechanism in DMBA treated hamsters.
Identifying product development crises: The potential of adaptive heuristics

This paper introduces adaptive heuristics as a tool to identify crises in design projects and highlights potential applications of these heuristics as decision support tool for crisis identification. Crises may emerge slowly or suddenly, and often have ambiguous signals. Thus the identification of a project crisis is often difficult. Yet, to allow fast crisis response, timely identification is critical for successful crisis management. Adaptive heuristics are successful judgement strategies when limited and ambiguous information is available. This article presents a theoretical proposition for the application of heuristics in design sciences. The paper compares crises to 'business as usual', and presents sixteen indicators for emerging crises in product development. These indicators are suggested as cues for adaptive heuristics. Specifically three heuristics are found to be well suited to support design practitioners to make robust inferences about the situation: 1. One-single-cue, 2. Fast-and-Frugal-Trees, and 3. Tallying. The paper presents application scenarios for these three heuristics and provides an outlook on further research on adaptive heuristics in design sciences.
An Empirical Analysis of the Adoption of Food Safety and Quality Practices in the Canadian Food Processing Industry

HIS CHAPTER ATTEMPTS TO ANSWER TWO QUESTIONS: What are the relationships between the degree of adoption of food safety and quality practices and establishments’ characteristics? And what are the associations between the adoption of food safety and quality practices and market performances of food processing establishments? Data on the adoption of food safety and quality practices were obtained from the 1998 Survey of Advanced Technology in the Canadian food processing industry. Three safety and five quality-oriented practices were identified in the survey. To analyze the impact of adoption of food safety and quality practices on market performance of Canadian food processing establishments, information from the 1998 survey was linked to data from the Annual Survey of Manufacturers. The 1998 Survey reported that 94 percent of the Canadian food processing establishments use at least one of the eight practices, 74 percent use four or more, and 42 percent use six or more. The Survey indicated also that good manufacturing practices, continuous quality improvement, acceptance sampling, and hazard analysis critical control points (HACCP) are the food safety and quality practices most commonly used by the Canadian food processing establishments. The study shows that adoption intensity of food safety and quality practices is very closely linked to establishments’ characteristics. In particular, the results indicate that size, country of control, and innovativeness have more influence than industry, major markets served, or level of inspection on the adoption intensity of food safety and quality practices. Moreover, the results suggest that establishments in the Canadian food processing industry are more likely to adopt a combination of food safety and quality oriented practices than to adopt safety or quality oriented practices alone. For market performance, the results provide some evidence that the adoption of food safety and quality practices is positively associated with establishments’ performance. In particular, the results suggest that adoption intensities and market shares are closely linked.
Solutions of Buoyancy-driven Flow Problems by the Local Collocation Method That Uses Multiquadrics as the Radial Basis Function

The local multiquadric collocation method is a meshless method that uses radial basis functionsknown as multiquadrics to approximate functions and their derivatives. In this paper, buoyancy-drivenflow problems in a square cavity and a horizontal concentric annulus are solved by this method. The streamfunction-vorticity formulation is used because there are only two unknowns in this formulation. However,since the vorticity boundary condition is required, but not explicitly given, it must be determined by usingthe definition of vorticity. A scheme for computing boundary vorticity that is appropriate to the localmultiquadric collocation method is presented. Results from the buoyancy-driven flow problem in a squarecavity show that the accuracy of solutions obtained by using this scheme is comparable with the accuracyof solutions obtained by using a more accurate scheme. Furthermore, it is also shown that numerical resultsof the buoyancy-driven flow problem in a horizontal concentric annulus for cases of D o /D i = 1.5 and 2.0, Pr= 0.7, and RaDi between 105 and 106 by the local multiquadric collocation method agree with experimentalresults
User Activity Recognition Based on Kalman Filtering Approach EEC 592 , Prosthesis Design and Control Final Project

Different control methods are used to control a prosthetic leg. Finite-state machine is one of the well-known strategies applied in the control design. Since, the dynamic and kinematics of human motion is changing during various walking modes, a separate controller is used for different phases. Finite-state machine is used for this purpose. To let the prosthetic leg choose the suitable control mode and transit from one phase to another, the user intent recognition is required. The concept behind user intent recognition is to compare the current state of prosthesis to the trained probabilistic models obtained for each activity such as standing, walking, sitting and etc. to identify the activity a user is performing. The main focus of this project is to use the mechanical information of sensors such as joint position, velocity and ground reaction force (GRF) to train a model to determine the user activity recognition. It is assumed the human walking is quasiperiodic, and a Fourier series based model is fitted to each activity mode. The coefficients of Fourier series are different for each activity. The difference is a rich feature to classify various walking modes. Two different approaches are implemented to estimate the coefficients of Fourier series. First, offline user activity recognition is developed by solving a minimization problem. Then, a kalman filtering approach is implemented to estimate the coefficients of Fourier series model. The model is trained for standing, level walking, ramp up and ramp down with slope of 5 degree. Some human walking test data is applied to the system; and performance of obtained model is verified by identifying the user’s activity.
xxxCorruption and Social Interaction: Evidence from China

We explore theoretically and empirically whether social interaction, including local and global interaction, influences the incidence of corruption. We first present an interaction-based model on corruption that predicts that the level of corruption is positively associated with social interaction. Then we empirically verify the theoretical prediction using within-country evidence at the province-level in China during 1998 to 2007. Panel data evidence clearly indicates that social interaction has a statistically significantly positive effect on the corruption rate in China. Our findings, therefore, underscore the relevance of social interaction in understanding corruption. JEL classification: K420, D720, D640, O170, J240
BAG-OF-VISUAL WORDS ( BoVW ) MODEL BASED APPROACH FOR CONTENT BASED IMAGE RETRIEVAL ( CBIR ) IN PEER TO PEER ( P 2 P ) NETWORKS

Content Based image retrieval (CBIR) is next big thing on search market. Performing content based image retrieval on internet databases connected using P2P network is the scope of our work. In case of unstructured P2P network CBIR has many challenges in terms of routing, match making etc. Authors in [1] have proposed a P2P-CBIR search engine to provide scalable image retrieval which can adaptively control the query scope and progressively define the accuracy of query results. But the problem in this solution is that query search time is high. We take this problem and propose optimizations to work in [1], so that the image search time can be reduced.
Performance Study of MIMO-OFDM System in Rayleigh Fading Channel with QO-STB Coding Technique

In 4G of wireless communication to increase data speed several techniques are use. Among these OFDM and MIMO are prominent. In this paper, performance study of combined OFDM and MIMO system which is quasi orthogonal space time block coded in Rayleigh fading channel is done. The parameters considered for evaluation are BER, MSE and throughput. For this study, the system is modulated using digital modulation techniques like BPSK, QPSK, 8-QAM, 16QAM, 32-QAM and 64-QAM. Keywords— OFDM, QO-STBC, MIMO, NLoS, BER, MSE, Throughput.
Experimental Evaluation on Light Transmittance Performance of Translucent Concrete

Translucent concrete is a new energy-saving building material that permits transmission of light into indoor environment because of the embedded optical fibers with application as architectural wall and structural façade of buildings. In this experimental study, the light transmittance performance of plastic optical fiber (POF) based translucent concrete was evaluated using an electrical circuit test setup with light dependent resistor (LDR). A total of 18 specimens containing 2 mm and 3 mm fiber diameters and POF volume ratio of 2%, 4% and 6% were produced. The experimental results showed that the light transmission increased with the increases of POF volume ratio. On the other hand, the amount of light transmitted gradually decreased with the increase in distance between the specimen and light source. Moreover, the intensity of light transmitted through translucent concrete gradually decreases with respect to increases in distance between LDR and specimen. The spacing, diameter and number of optical fibers have a considerable effects on the overall ratio of light transmitted. Empirical curves are developed based on correlation between light transmittance and other various factors that affect the efficiency of light transmission through translucent concrete. The translucent concrete prepared in this study performs up to 22% of light transmittance, which is sufficient illuminance for residential and office buildings. The results evidently show that translucent concrete can be successfully used as energy efficient construction material for sustainable construction and green building development.
Cross Media Publishing of MediaWiki Content

Wikis are excellent tools for distributed authoring, knowledge management and collaboration. Even for inexperienced users the used markup syntax is easy to understand and tends not in an obstacle to participate in the authoring process. Widely used in universities, enterprises and communities, Wikis represent a web based content management system for collaborative working and authoring. In many situations users want to have the content of a Wiki or selected articles available in different types of media other than the web based online version. This is the domain of cross media publishing systems being able to create several output formats from one single source. In this paper we present a module of the cross media publishing framework openFuXML to integrate Wiki content and render it to different output formats.
Alga Cokelat Sargassum hystrix A ntioxidant Activity and Proximate Analysis of Dry Powder from Brown Seaweed Sargassum hystrix

This research aims to know antioxidant activity, total phenolic, nutrient, and screening phytochemistry compounds of S. hystrix dry powder. Water extract from the dried sample of brown algae (S. hystrix) was prepared and examined for its phenolic compounds. The amount of total phenolic compounds in water extract was about 11.43 g Gallic Acid Equivalent (GAE)/100 g of dry basis sample, as measured by using Folin-Ciocalteu method. The antioxidant activity (Radical Scavenging Activity/RSA) of BHT as a standard was high about 96% inhibition of radical DPPH with 1 mg dry sample/ml solvent. The IC50 of the BHT was 0.227 ± 0.001 mg of dry sample/ ml solvent. While the radical activity (RSA) of S. hystrix dry powder was about 65.28% at 1 mg dry sample/ml solvent. The IC50 of S. hystrix dry powder was 0.616 ± 0.005 mg of dry sample/ml solvent. Nutrient contents and bioactive compounds of dry powder S. hystrix were balanced to support antioxidant activity of the sample. The results suggest that this alga is a potential source of natural antioxidant.
Security Enhanced Authentication Protocol for UHF Passive RFID System

The passive RFID system was spotlighted as a future technology for automatic identification, but it has a possibility of eavesdropping and leaking of private information. We propose a security enhanced protocol with mutual authentication and data cryptographic mechanism between secure reader and tag for the UHF passive RFID system. We use the OFB-like mode of AES as an effective encryption method. The proposed security enhanced protocol is designed to satisfy the demands of ISO/IEC WD 29167-6, namely the new international standard for the RFID security services. In addition, we present that the proposed security process conforms to the time limitation of the ISO/IEC 18000-6C. Keywords-RFID security; AES; OFB-like mode; mutual authentication.
The role of molecular genetic testing in modern breast heath management

Abstract Defects in the BRCA tumor suppressor genes contribute significantly to the development of breast cancer in South Africa. Additive genetic effects and lifestyle risk factors underlie variable expression patterns in affected families, while also increasing breast cancer risk in the general population. Modifiable environmental factors could determine whether individuals with genetic risk factors develop cancer or fail to respond to treatment. Consequently, there is an increasing demand for genetic testing not only in patients with familial breast cancer, but also in healthy women and patients with sporadic cancer. Today, genetic testing in breast health extends from single-gene diagnostic tests to multi-gene treatment- based tests. For women in whom established breast cancer risk reduction approaches such as surgery and pharmaceuticals are not acceptable or inappropriate, treatment is based on molecular-genetic targets for individualised medical, nutrition and lifestyle intervention. Genetic testing as part of a holistic approach to breast health management translates into individual needs-based risk reduction interventions.
Use of Blockchain in Healthcare: A Systematic Literature Review

Blockchain is an emerging field which works on the concept of a digitally distributed ledger and consensus algorithm removing all the threats of intermediaries. Its early applications were related to the finance sector but now this concept has been extended to almost all the major areas of research includ-ing education, IoT, banking, supplychain, defense, governance, healthcare, etc. In the field of healthcare, stakeholders (provider, patient, payer, research organizations, and supply chain bearers) demand interoperability, security, authenticity, transparency, and streamlined transactions. Blockchain technology, built over the internet, has the potential to use the current healthcare data into peer to peer and interoperable manner by using a patient-centric approach eliminating the third party. Using this technology, applications can be built to manage and share secure, transparent and immutable audit trails with reduced systematic fraud. This study reviews existing literature in order to identify the major issues of various healthcare stakeholders and to explore the features of blockchain technology that could resolve identified issues. However, there are some challenges and limitations of this technology which are needed to be focused on future research.
Design and Implementation of a Line Follower Robot Based on Fuzzy Logic controller by Using Microcontroller

Robot is widely used to help human to do something, especially for difficult or danger ous tasks. The robot requires, some techniques, sensors and controller have been. In this research robot movement is guided by. Fuzzy logic control as intelligent control applied to govern the robot follow line. Infrared sensors are used to sense line as the input variable for the controller. Based on these signals, the controller control the turning angle of forward movement thus making robot move forward and turning at the same time. A fuzzy logic control was selected for its robustness and flexibility. Key wordds:Robot , Micro controller , Fuzzy controller ىهع داًخعلااب طخنا عبخخي ثٕبٔزنا ذيفُح ٔ ىيًصح زطيسي ببضًنا كطًُنا كيلذنا زطيسًنا واذخخساب و . يضار يهع ذًحا نومأملا ةيلك / بوساحلا تاينقت ةسدنه مسق
A Multi-scale Computational Model of Calcium-mediated Ectopy in the Human Post-infarction Heart

A variety of malignant arrhythmias are implicated with ectopic beats (EBs) resulting from spontaneous calcium (Ca) release (SCR) events at the subcellular level. However, investigation of these arrhythmias is hampered by the lack of adequate techniques to assess with certainty abnormalities at the subcellular scale and arrhythmogenic events at the organ level. The aim of this study was to construct a multi-scale computational model to investigate SCR-mediated ectopy within the infarcted human heart. To achieve this goal, an experimentally based phenomenological model of SCR events was integrated in the equations for Ca cycling of a state-of-the-art model of the human ventricular action potential (AP). Key parameters of the cell model were modified to represent remodeling conditions known to occur in heart failure. This augmented myocyte model was employed in in-silico experiments on a post-infarction biventricular (BiV) model. Magnetic resonance imaging data from a patient who suffered myocardial infarction was used to build the BiV model in this study. The infarct scar and border zone (BZ) were segmented by thresholding the voxel intensity within the ventricular wall. These were then used to build a tetrahedral finite element mesh. In single-cell experiments, stochastic SCR-mediated triggered activity was shown to become more likely as the cell was overloaded with Ca. In the human BiV model, SCR-mediated DADs in cells interspersed with fibrosis within the infarcted BZ were capable of overcoming local source-sink mismatches to trigger an EB. The results presented here are the first to show that EBs resulting from abnormalities at the subcellular level can be studied using highly detailed human heart models.