Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated first aid and medication system for burn victims

Several deaths every year are caused by burns. On the occurrence of the burn injury, the first crucial response is to provide the appropriate treatment to the victim's injury and it may require consulting an experts or specialist of burn center. However, the number of burn centers or burn care units are very limited. People in remote areas, rural or hilly regions have to travel long distances in search of a burn care center. Treating minor burns may not require expert's consultation, but there is lack of awareness about the first aid and prevention strategies, leading to higher incidence of major burns. Hence, an automatic system that helps assess the burn injury and provide first aid information for burn injuries would be extremely beneficial. The aim of this work is to develop an automated system. Our solution to this problem arises in one of the most widespread inventions of today's time - the Smartphone. We propose and develop a Smartphone app using cloud interface that assists to identify the type and severity of the burn injury. Our approach to this problem is twofold. Firstly, providing first aid information by recognizing degree of the burn. Secondly, sending the victim's information and image of burn to the cloud interface which is also connected to one or more burn trauma centers seeking the experts advice, and making the cloud learn from this data.
Compositional Models of Medical Concepts : Towards Use Independent Medical Terminology for Medical Records and Knowledge Based Systems

A major barrier to integration and cumulative development is the lack of a common semantics or ‘ontology’ of medical concepts. Traditional medical nomenclatures are inappropriate for this task. A single ‘coding system’ for all of Europe or all of medicine is neither desirable nor realistic. However, a core model of the semantics of medical concepts appears feasible. Such a model could serve as a powerful focus for integration as well as a major resource for developers.
- Gb / s Limiting Amplifier and Laser / Modulator Driver in 0 . 18-m CMOS Technology

A limiting amplifier incorporates active feedback, inductive peaking, and negative Miller capacitance to achieve a voltage gain of 50 dB, a bandwidth of 9.4 GHz, and a sensitivity of 4.6 mVpp for a bit-error rate of 10 12 while consuming 150 mW. A driver employs T-coil peaking and negative impedance conversion to achieve operation at 10 Gb/s while delivering a current of 100 mA to 25lasers or a voltage swing of 2 Vpp to 50modulators with a power dissipation of 675 mW. Fabricated in 0.18m CMOS technology, both prototypes operate with a 1.8-V supply.
Efficient DPA-Resistance Verification Method with Smaller Number of Power Traces on AES Cryptographic Circuit

The LSI design methodology against Differential Power Analysis (DPA) is important to realize a tamper-resistant cryptographic circuit. In order to verify the DPA resistance before ASIC fabrication, the DPA verification using FPGA is commonly used. However, power traces of ASIC differ from that of FPGA, so the DPA verification on FPGA cannot guarantee the DPA resistance on ASIC. On the other hand, it takes extremely long time to collect the simulated power traces using post-layout netlists of ASIC. Hence, the DPA-resistance verification method using smaller number of power traces is demanded. In this paper, we propose Equivalent Byte Method (EBM) which synchronizes the operation on all Substitution Boxes (S-Boxes) at the attacking round by controlling the plaintexts and the keys. In EBM, the power-consumption profiles of S-Boxes are emphasized by each other, and then the DPA analysis for a correct key is easily distinguished with smaller number of traces. In order to demonstrate the effectiveness of the proposed EBM, AES circuits using DPA-resistant techniques of WDDL and MDPL are implemented on FPGA. As a result, EBM revealed DPA-leak with 1/1000 ~ 1/50 power traces required for the general statistical method.
The Variety of User Experiences: Literacy Roles and Stances on Story-Sharing Platforms

Author(s): Korobkova, KA; Collins, P | Abstract: © 2018 International Literacy Association The authors explored adolescents’ literacy practices and identities on newly popular story-sharing platforms. For budding readers, writers, and designers, these sites represent new media ecologies. With a mixed-method case study of 40 globally dispersed adolescents, the authors chronicled literacy roles, identity stances, and practices on the story-sharing apps Wattpad and Figment. These media-ted practices proved consequential for the participants’ sense of investment in what they did. Findings show that adolescents divergently invested in a social orientation toward writing and an orientation focused on textual output. Different genres of practice came to the forefront, depending on users’ identity stances. Participants in these platforms took on various stances, ranging from friend to fan to reader to novice and expert writer, which cohered with attendant activities. The authors conclude with implications for research, design, and coordination of learning environments for adolescents, given the observed heterogeneity in stances, roles, practices, and experiences.
What is the impact of sensory processing sensitivity on entrepreneurial intent and opportunity recognition moderated by the entrepreneurial trait profile and the Big Five

Purpose – The purpose of this research is to examine how sensory processing sensitivity affects entrepreneurial intent and opportunity recognition ability, moderated by personality, such as the ETP and the Big Five. Method/approach/design – A systematic literature review of sensory processing sensitivity was conducted to evaluate existing literature on SPS, giving a complete overview of the current status-quo. A questionnaire was created, using a stratified random sample was drawn at the University of Twente for representation reasons. Multiple regression analyses were used on the variables SPS, EI, and OR. Findings – The findings reveal that sensory processing sensitivity does not show a significant relationship with either opportunity recognition or entrepreneurial intent. The moderation of personality could also not be confirmed. The findings highlight literature that supports the positive relation between opportunity recognition ability and entrepreneurial intent, so did interviews conducted in the end. Research limitations/implications – Limitations of this research include the weak reliability of the personality scale used. Hence, this could have been a reason why the moderation could not be measured. Although that scale was validated prior, it will not be recommended for further research. Implications related to the now broadened scope of SPS, especially with regards to OR ability under stress. The underlying biological implications were discovered from interviews and contribute to the assumptions of the relationship. Practical implications – Practical implications include the need for support systems for individuals with SPS, as well as efforts in education on the individual personality differences people entail. Originality/value – While the study extends the literature on sensory processing sensitivity, the concept of entrepreneurship was originally added to the literature. Although the hypotheses drawn could not be confirmed, some findings still indicate possible relations that need further investigation.
Causality in quantum teleportation : Information extraction and noise effects in entanglement distribution

Quantum teleportation is possible because entanglement allows a definition of precise correlations between the noncommuting properties of a local system and corresponding noncommuting properties of a remote system. In this paper, the exact causality achieved by maximal entanglement is analyzed and the results are applied to the transfer of effects acting on the entanglement distribution channels to the teleported output state. In particular, it is shown how measurements performed on the entangled system distributed to the sender provide information on the teleported state while transferring the corresponding backaction to the teleported quantum state.
Reliable automatic camera-laser calibration

Camera-laser calibration is necessary for many robotics and computer vision applications. However, existing calibration toolboxes still require laborious effort from the operator in order to achieve reliable and accurate results. This paper proposes algorithms that augment two existing trustful calibration methods with an automatic extraction of the calibration object from the sensor data. The result is a complete procedure that allows for automatic camera-laser calibration. The first stage of the procedure is automatic camera calibration which is useful in its own right for many applications. The chessboard extraction algorithm it provides is shown to outperform openly available techniques. The second stage completes the procedure by providing automatic camera-laser calibration. The procedure has been verified by extensive experimental tests with the proposed algorithms providing a major reduction in time required from an operator in comparison to manual methods.
Feature construction approach for email categorization based on term space partition

This paper proposes a novel feature construction approach based on term space partition (TSP) aiming to establish a mechanism to make terms play more sufficient and rational roles in email categorization. Dominant terms and general terms are separated by performing a vertical partition of the original term space with respect to feature selection metrics, while spam terms and ham terms are separated by a transverse partition with respect to class tendency. Strategies for constructing discriminative features, named term ratio and term density, are designed on corresponding subspaces. Motivation and principle of the TSP approach is presented in detail, as well as the implementation. Experiments are conducted on five benchmark corpora using cross-validation to evaluate the proposed TSP approach. Comprehensive experimental results suggest that the TSP approach far outperforms the traditional and most widely used feature construction approach in spam filtering, which is named bag-of-words, in both performance and efficiency. In comparison with the heuristic and state-of-the-art approaches, namely CFC and LC, the proposed TSP approach shows obvious advantage in terms of accuracy and μ1 measure, as well as high precision, which is warmly welcomed in real spam filtering. Furthermore, the TSP approach performs quite similar with CFC in efficiency of processing incoming emails, while much faster than LC. In addition, it is shown that the TSP approach cooperates well with both unsupervised and supervised feature selection metrics, which endows it with flexible capability in the real world.
Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories

Humans appear to be sensitive to relative small changes in their surroundings. These changes are often initially perceived as irrelevant, but they can cause significant changes in behavior. However, how exactly people’s behavior changes is often hard to quantify. A reliable and valid tool is needed in order to address such a question, ideally measuring an important point of interaction, such as the hand. Wearable-body-sensor systems can be used to obtain valuable, behavioral information. These systems are particularly useful for assessing functional interactions that occur between the endpoints of the upper limbs and our surroundings. A new method is explored that consists of computing hand position using a wearable sensor system and validating it against a gold standard reference measurement (optical tracking device). Initial outcomes related well to the gold standard measurements (r = 0.81) showing an acceptable average root mean square error of 0.09 meters. Subsequently, the use of this approach was further investigated by measuring differences in motor behavior, in response to a changing environment. Three subjects were asked to perform a water pouring task with three slightly different containers. Wavelet analysis was introduced to assess how motor consistency was affected by these small environmental changes. Results showed that the behavioral motor adjustments to a variable environment could be assessed by applying wavelet coherence techniques. Applying these procedures in everyday life, combined with correct research methodologies, can assist in quantifying how environmental changes can cause alterations in our motor behavior.
Robust active heave compensated winch-driven overhead crane system for load transfer in marine operation

Active heave compensation (AHC) is important for load transfer in marine operation using the overhead crane system (OCS). The control of marine OCS aims to continuously regulate the displacement of the cart and the payload sway angle, whilst at the same time, maintaining the gap between the payload and the vessel main deck at a desirable and safe distance. As the marine OHC system is to be operated in a continuously changing environment, with plenty inevitable disturbances and undesirable loads, a robust controller, i.e., active force control (AFC) is thus greatly needed to promote accuracy and robustness features into the controllability of OCS in rough working environment. This paper highlights a novel method for controlling the payload in an OCS based on the combination of both AFC and AHC. Results from the simulation study clearly indicate that the performance of OCS can be greatly improved by the proposed robust AFC controller, as compared with the classical PID controller scheme.
Novel approach to the study of quantum effects in the early Universe

We develop a theoretical frame for the study of classical and quantum gravitational waves based on the properties of a nonlinear ordinary differential equation for a function $\sigma(\eta)$ of the conformal time $\eta$, called the auxiliary field equation. At the classical level, $\sigma(\eta)$ can be expressed by means of two independent solutions of the ''master equation'' to which the perturbed Einstein equations for the gravitational waves can be reduced. At the quantum level, all the significant physical quantities can be formulated using Bogolubov transformations and the operator quadratic Hamiltonian corresponding to the classical version of a damped parametrically excited oscillator where the varying mass is replaced by the square cosmological scale factor $a^{2}(\eta)$. A quantum approach to the generation of gravitational waves is proposed on the grounds of the previous $\eta-$dependent Hamiltonian. An estimate in terms of $\sigma(\eta)$ and $a(\eta)$ of the destruction of quantum coherence due to the gravitational evolution and an exact expression for the phase of a gravitational wave corresponding to any value of $\eta$ are also obtained. We conclude by discussing a few applications to quasi-de Sitter and standard de Sitter scenarios.
The Heterogeneity of Victim Impact Statements: A Content Analysis of Capital Trial Sentencing Penalty Phase Transcripts

Victim impact statements (VISs) are controversial in capital sentencing proceedings largely due to their questionable relevance to sentencing, the concern that characterizations of the victim may lead to arbitrary sentencing judgments, and the belief that the emotional nature of this evidence may be inflammatory. A sample of 192 capital trial VIS transcripts was analyzed for content as well as a linguistic analysis of emotionality. The findings reveal that these statements are highly varied, including their format, length, and relation between the witness and the victim. Despite a legislative mandate that they address the emotional, financial, and physical suffering experienced by victim survivors, testimony of this nature occurs in a minority of the cases. Most commonly, these statements tend to characterize the victim and their qualities, relay the witness’ shock at first learning of the victim’s death (i.e., trauma narratives), and address the significance of the deceased to the family unit. In approximately one third of the transcripts reviewed, the witness made mention of the defendant, but this rarely included any mention of a desire for vengeance or recommended punishment. Linguistic analysis revealed that emotional content was prevalent throughout the testimony, with sadness emerging as more pervasive than anger. However, the degree of emotional language contained in these statements was not particularly high—and was comparable to that typically encountered in everyday life (e.g., newspapers, novels). Implications, particularly with regard to the potential for VISs to be considered inflammatory, are discussed.
Learning Context-free Grammars: Capabilities and Limitations of a Recurrent Neural Network with an External Stack Memory (cid:3)

This work describes an approach for inferring Deterministic Context-free (DCF) Grammars in a Connectionist paradigm using a Recurrent Neural Network Pushdown Automaton (NNPDA). The NNPDA consists of a recurrent neural network connected to an external stack memory through a common error function. We show that the NNPDA is able to learn the dynamics of an underlying push-down automaton from examples of grammatical and non-grammatical strings. Not only does the network learn the state transitions in the automaton, it also learns the actions required to control the stack. In order to use continuous optimization methods, we develop an analog stack which reverts to a discrete stack by quantization of all activations, after the network has learned the transition rules and stack actions. We further show an enhancement of the network's learning capabilities by providing hints. In addition, an initial comparative study of simulations with (cid:12)rst, second and third order recurrent networks has shown that the increased degree of freedom in a higher order networks improve generalization but not necessarily learning speed.
Characterization of Dietary Energy in Swine Feed and Feed Ingredients: A Review of Recent Research Results

Feed is single most expensive input in commercial pork production representing more than 50% of the total cost of production. The greatest proportion of this cost is associated with the energy component, thus making energy the most important dietary in terms of cost. For efficient pork production, it is imperative that diets are formulated to accurately match dietary energy supply to requirements for maintenance and productive functions. To achieve this goal, it is critical that the energy value of feeds is precisely determined and that the energy system that best meets the energy needs of a pig is used. Therefore, the present review focuses on dietary supply and needs for pigs and the available energy systems for formulating swine diets with particular emphasis on the net energy system. In addition to providing a more accurate estimate of the energy available to the animal in an ingredient and the subsequent diet, diets formulated using the this system are typically lower in crude protein, which leads to additional benefits in terms of reduced nitrogen excretion and consequent environmental pollution. Furthermore, using the net energy system may reduce diet cost as it allows for increased use of feedstuffs containing fibre in place of feedstuffs containing starch. A brief review of the use of distiller dried grains with solubles in swine diets as an energy source is included.
Single temperature sensor based evaporator filling control using excitation signal harmonics

An important aspect of efficient and safe operation of refrigeration and air conditioning systems is superheat control for evaporators. This is conventionally controlled with a pressure sensor, a temperature sensor, an expansion valve and Proportional-Integral (PI) controllers or more advanced model based control. In this paper we show that superheat can be controlled without a pressure sensor and without a model of the system. This is achieved by continuous excitation of the system and by applying Fourier analysis, which gives an error signal that can be used together with standard PI control. The proposed method works for systems with “S” shaped input/output maps that satisfy sigmoid function properties and such behavior has been identified in both an air conditioning and a refrigeration system. Tests on these systems show that the superheat can be controlled to a low level over a large operating range with only one sensor. It is believed that the method in general is applicable to a wide variety of nonlinear systems for which the desired operating points are close to points of zero mean curvature of system nonlinearities.
Simulation of Submarine Pipeline Oil Spill Based on Wave Motion

In order to explore the motion law of oil spill to conduct cleaning, simulation for submarine oil spill based on wave motion is carried out by user defined function and volume of fluid in FLUENT, and the dispersion and diffusion of oil spill in deep sea is simulated dynamically. Also the oil spill processes with different wavelength and current velocity are compared and analyzed. The results show that wave and current have important effects on the location and oil film area on sea surface. With wavelength increasing, the water depth influenced by wave, the scope of oil dispersion underwater and the oil film area on surface increase, respectively. With current velocity decreasing, the oil film area on sea surface, the distance between the oil film and oil spill source increased.
HETEROGENEITY AND CENTRALITY OF “DARK PERSONALITY” WITHIN TEAMS, EMERGENCE OF SHARED LEADERSHIP, AND TEAM PERFORMANCE: TEST OF A MODERATED-MEDIATION MODEL

iv ACKNOWLEDGEMENT . v LIST OF TABLES . viii LIST OF FIGURES . ix LIST OF ABBREVIATIONS . x CHAPTER 1: INTRODUCTION . 1 CHAPTER 2: DARK PERSONALITY LITERATURE REVIEW . 6 2.1 The Organizational Context . 6 2.2 DT Conceptualization & Measurement . 10 CHAPTER 3: SHARED LEADERSHIP LITERATURE REVIEW . 20 3.1 Shared Leadership: Literature Review. 20 CHAPTER 4: TEAM DARK PERSONALITY COMPOSITION, SHARED LEADERSHIP & PERFORMANCE – THEORY & HYPOTHESES . 25 4.1 Shared Leadership & Team Performance . 35 4.2 Dark Personality within Teams . 27 4.3 Dark Personality & Shared Leadership . 32 4.4 Team Mean-Level Dark Personality Composition . 35 4.5 Centrality of the Dark Triad . 36 CHAPTER 5: METHODS . 39 5.1 Sample & Procedure . 39 5.2 Measurement Models . 42 5.3 Data Analysis . 46 CHAPTER 6: RESULTS . 48 6.1 Descriptive Statistics and Zero Order Correlations . 48 6.2 Hypothesis Testing. 51 6.2.1 Direct Effects . 51 6.2.1.1 H1: Shared Leadership and Team Performance . 51 6.2.1.2 H1: Shared Leadership and DT Heterogeneity . 51 6.2.2 Mediating Effects of Shared Leadership Emergence . 51 6.2. 3 Moderated-Mediation . 52 vii 6.2. 4 Test of the Model without Controls . 53 CHAPTER 7: DISCUSSION . 54 7.1 General Overview . 54 7.2 Discussion of Hypotheses . 54 7.3 Limitations . 59 7.4 Future Research . 61 7.5 Practical Implications. 65 7.6 Summary & Conclusion . 66 BIBLIOGRAPHY . 69 APPENDIX A: TABLES . 94 APPENDIX B: STATISTICAL ANALYSIS OUTPUT TABLES . 96 APPENDIX C: FIGURES . 107 APPENDIX D: SURVEY ITEMS . 122