Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling Word Associations and Interactiveness for Describer Agents in Word-Guessing Games A Case Study for the Location Taboo Game

In word-guessing games, one player describes a stimulus and his partner should try to guess what the stimulus is. Producing a response to such a stimulus requires an associative mechanism. Additionally, the production of associations that allow the partner to guess what the stimulus is requires modelling a shared context. The Location Taboo Game is such a word-guessing game, in which a describer gives simple textual hints about a target city, and the other player should try to guess this city. The hints given should not contain words from a list of taboo words. In this thesis, an architecture for an artificial describer agent is presented and evaluated through simulation and an empirical study. To be able to elicit a correct guess from a human guesser, the artificial describer agent should mimic associations that humans have with geographical locations. The artificial describer agent extracts word associations from a semantic vector space that has been created with a context-predicting distributional semantic model. Firstly, two methods for extracting word associations are detailed: a nearest neighbours approach that uses the list of taboo words, and an approach that applies clustering and analogical reasoning on a dataset of games played by humans. Secondly, interactiveness is modelled through a rule-based approach for the generation of clues that depend upon the guesser’s response. Different variants of the methods for clue generation are evaluated through simulation and an empirical study. These describer agents could elicit a correct guess for 37.86% of the games and for 50.00% of the games for which the human player knew the target city.
Transnationalization of Korean Popular Culture and the Rise of ‘ ‘ Pop Nationalism ’ ’ in Korea

Korea concerning the recent transnational advance of South Korean (hereafter Korean) popular culture. Since Korea has never enjoyed regional as well as international acclaim for its popular culture, the transnational recognition of its pop culture has become a point of national pride in Korea. In this context, the article will first present a brief overview of the transformation of Korean popular culture from an obscure cultural backwater to a new fountain of trendy entertainment in Asia. Then, it will examine how transnationalization of Korean popular culture has been largely seen in Korea within nationalistic discourses and interests or ‘‘pop nationalism. ’’ The idea of pop nationalism is inspired by what Koichi Iwabuchi called ‘‘trans/nationalism. ’’ He coined this term to refer to the nationalistic ways in which the export of Japanese popular culture is discussed in Japan (18). With the rise of similar nationalistic discourses in Korea concerning transnationalizing Korean popular culture, this article aims to examine it as specific to the Korean context. It will point out the ironies and ambiguities of pop nationalism and the need to recognize the continuing active role of nation-states and nationalism in shaping cultural experiences of globalization. In addition, despite the nationalistic rhetoric, the article will point out that Korean popular culture is a site of the global – local encounter and interaction. Historically, Korea has been concerned more about the influx of foreign cultures—be it Chinese, Japanese, or American—than the
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images

Due to the irregular motion, similar appearance and diverse shape, accurate segmentation of kidney tumor in CT images is a difficult and challenging task. To this end, we present a novel automatic segmentation method, termed as Crossbar-Net, with the goal of accurate segmenting the kidney tumors. Firstly, considering that the traditional learning-based segmentation methods normally employ either whole images or squared patches as the training samples, we innovatively sample the orthogonal non-squared patches (namely crossbar patches), to fully cover the whole kidney tumors in either horizontal or vertical directions. These sampled crossbar patches could not only represent the detailed local information of kidney tumor as the traditional patches, but also describe the global appearance from either horizontal or vertical direction using contextual information. Secondly, with the obtained crossbar patches, we trained a convolutional neural network with two sub-models (i.e., horizontal sub-model and vertical sub-model) in a cascaded manner, to integrate the segmentation results from two directions (i.e., horizontal and vertical). This cascaded training strategy could effectively guarantee the consistency between sub-models, by feeding each other with the most difficult samples, for a better segmentation. In the experiment, we evaluate our method on a real CT kidney tumor dataset, collected from 94 different patients including 3,500 images. Compared with the state-of-the-art segmentation methods, the results demonstrate the superior results of our method on dice ratio score, true positive fraction, centroid distance and Hausdorff distance. Moreover, we have extended our crossbar-net to a different task: cardiac segmentation, showing the promising results for the better generalization.
Experimental Model-Based Simulation for Health Monitoring of a Non-Linear Liquid Level System *

Due to new technologies, the improvement of industrial systems is progressively complex. Accordingly, it has become difficult to manage and predict the behaviour of these systems, particularly when they will be exposed to failures. An identical dynamic model should reflect all characteristics of a planned integrated mechatronic system. Health monitoring of any system is essential in guaranteeing the safe, efficient, and correct operation of complex engineering systems. This paper presents a simulation of a non-linear, experimental based model of a coupled tank apparatus CE 105 by using LabVIEW 2014. In this study, a common modelling paradigm with several sources of fault was used to simulate both nominal and faulty behaviour. It is concluded that the liquid level, in the presence of a PID controller, will not be affected by the fault value until it reaches a certain threshold. Hence, the end of the useful life could be predicted by monitoring the PID voltage.
The Activity of Combination of Hydrolyzed Virgin Coconut Oil and Chitosan Toward Wound Healing Parameters on NIH 3T3 Cells Using in Vitro Methods

Objectives: The objective of this study was to investigate the activity of cell proliferation of Hydrolyzed Virgin Coconut Oil (HVCO) and chitosan. HVCO and chitosan concentrations with the highest cell viability were called the best concentrations. The best concentrations of Hydrolyzed Virgin Coconut Oil (HVCO) and chitosan were combined to determine NIH 3T3 cell migration, COX-2 and VEGF protein expression. Design In vitro cell proliferation assay was determined by MTT (Microculture Tetrazolium Technique) assay, cell proliferation activity was measured by calculating cell viability incubated 24 hours, wound closure percentage was tested by scratch wound healing method, expression of COX-2 protein and VEGF protein were measured by immunocytochemical method. Interventions: The variable that was intervened in this study was the concentration of HVCO and chitosan. Main Outcome Measures: The main measurements carried out in this study were the absorbance value of HVCO and chitosan which was converted into viability cell, proliferation activity, percentage of wound closure, and percentage of COX-2 and VEGF protein expression. Results: Cell proliferation activity of HVCO and chitosan resulted the best concentration at 31.25 μg/ml, scratch wound healing assay from the combination HVCO and chitosan resulted the best migration of fibroblast cells at ratio of 50:50 with HVCO 62.5 μg/ml and chitosan 62.5μg/ml. The combination of HVCO and chitosan (50:50) increased protein expression of COX-2 and VEGF. Conclusion: Combination of HVCO and chitosan could increase NIH 3T3 cell migration, COX-2 and VEGF protein expression. Combination of HVCO and chitosan had better wound healing activity in vitro than single use.
GnRH agonist active immunization suppresses pituitary expression levels of GnRHR , FSHR and LHR mRNAs and uterine distribution in Ewes ( Ovis aries )

Objective The experiment was undertaken to evaluate effects of the active immunization against GnRH agonist on expression levels of GnRHR, FSHR and LHR mRNAs in pituitary, to confirm GnRHR localization in uteri of ewes. Methods Twenty-eight ewes (Ovis aries), five-to-six months old, were randomly assigned into four groups (n=7). Animals in EG-I, EG-II and EG-III received a subcutaneous injection of 200 μg, 300 μg and 400 μg alarelin antigen twice (0 d and 7 d) respectively. Control group was injected subcutaneously with 2.0 mL solvent twice (0 d and 7 d). The samples of pituitaries and uteri were collected aseptically at the end of the experiment (70 d). The fluorescent quantitative RT-PCR (FQ-PCR) and immunohistochemistry were smaller than that in CG. The expression levels of GnRHR, FSHR and LHR mRNAs in were inhibited remarkably in EG-I, EG-II and EG-III. GnRHR positive cells predominantly distributed in the cytomembrane, cytoplasm and nuclei of uterine endometrial cells (UEC) and glandular epithelial cells (GEC). Staining intensities of tissue sections differed in all groups. The gray scales in EG-II and EG-III were larger than that in CG (p<0.05). Conclusion Alarelin active immunization suppressed expression of GnRHR, FSHR and LHR mRNAs in pituitaries of ewes. Positive cells of GnRHR distributed largely in UEC and GEC. Alarelin antigen treatment affected the distribution of GnRHR in uteri of ewes.
Do Shock Index and Modified Shock Index Have Any Prognostic Value in Severely Ill Elderly , Medical Patients with Multiple Comorbidities ?

Clinicians always need better predictors of acute life-threatening conditions to provide best initial therapeutic strategy. Shock index (SI) is developed as a hemodynamic stability indicator. It is defined as heart rate (HR) divided by systolic blood pressure (SBP). It has been shown to be a better marker for assessing severity of shock of any kind than HR and BP alone. It has utility not only in trauma patients and acute hemorrhage 5 but also many clinical settings like sepsis, pneumonia, pulmonary embolism, obstetrics, myocardial infarction, stroke, emergency intubations and intensive care unit (ICU) transfers. When Modified Shock Index (MSI) was proposed, it was postulated that as diastolic blood pressure (DBP) fell earlier than SBP, mean arterial pressure (MAP) could be a more accurate predictor of disease severity and mortality. Some studies used and compared SI and MSI, 20 while some others showed that adding parameters like age, Glasgow Coma Scale (GCS) score, lactate levels, central venous pressure, and other physiologic markers make a better prediction of outcome than with one individual vital sign in the critically ill patient. 25 Poorly controlled chronic diseases are more likely to be seen in elderly population. In the absence of significant functional reserves, exposure to sustained physiologic stress may result in acute decompensation and organ failure. In an elderly patient with multiple comorbidities, it is also difficult to differentiate the primary reason of decompensating organ functions, and in the face of sustained hemodynamic imbalance despite the interventions in emergency department or in the wards, the situation may even be more complex. This study was hypothesized that whether the measurements after the patients admitted to the ICU could be predictors of 28thday all-cause ICU mortality in elderly medical ICU patients with multiple comorbidities. Unlike the previous studies that specified a certain disorder, as it is usually difficult to limit the dysfunction to only one system in the geriatric patient in the urgent situation before making a broader screening, we included the whole non-surgical group.
Applying an Alternative Heuristic Algorithm to Gupta Method for Sequencing Lean Software Processes

Gupta algorithm (1972) was proposed in order to reduce cycle times, with very good performance results and it has been successfully used as a sequencing criterion in critical activities in software development processes. An alternative to this algorithm is developed and presented in 2009 by Caldwell (2009) using heuristic rules when equal selecting factors occurs. This document presents the results of a Quasi-experimental method in order to explain how to apply Caldwell-T algorithm improving software development projects, when it is applied to critical chains and feeding buffers and signal calculations. In these environments, the shared resources affect not only critical path but also tasks with time buffers and multiple nodes of dependency, which requires the search for reducing makespan in order to accelerate the affected routes. The new algorithm has been validated through a simulation model using a randomized procedure resulting in 84% performance effectiveness, referred to makespan, over Gupta solution after 2000 iterations. However, we conclude that new algorithm can obtain results less effective against Gupta for certain random configurations in approximately 18% of the cases; therefore it is better to analyze the multi-project environment configuration with both algorithms, rather than making them compete knowing that both algorithms have the same degree of simplicity in calculation and application by automatic ways.
A Series-Resonant Charge-Pump-Based Rectifier with Inherent PFC Capability

This paper presents a power factor correction (PFC) rectifier for single-phase offline converters. With the addition of a charge pump circuit comprised of a capacitor and a diode to a class-DE series-resonant converter, PFC is achieved inherently. The converter operation is based on soft-switching, and a 1 MHz 50 W prototype employing wide bandgap devices is implemented, achieving a power factor of 0.99 and a total harmonic distortion (THD) of 8.6 %, at an efficiency of 84 %, with substantially low input current harmonic magnitudes compared to the limits set by the IEC 61000-3-2 standard.
Global Colloquium in Recent Advancement and Effectual Researches in Engineering , Science and Technology ( RAEREST 2016 ) Design of Low Noise Amplifier for IEEE standard 802 . 11 b using Cascode and Modified Cascode Techniques

This paper presents the performance comparison of two Low Noise Amplifiers (LNA), a basic Cascode and a modified cascode LNA for IEEE 802.11b protocol, WLAN. A modified cascode LNA with dual Common source transistors is designed and the performance parameters are compared with a designed basic cascode stage. The modified cascode stage has a high gain of 19.2dB and an optimized noise figure of 0.416dB at 2.4GHz and at a supply voltage of 1.8V. The S11 is -13.74dB, S22 is -0.87dB and S12 is -43.63dB. The P1dB is -18.35dBm and the IIP3 is 8.42dBm. The LNA is designed to be stable over 2-3GHz range. The power consumption of the circuit is 8.1mW. The modified cascode LNA is having around 10% improvement in gain and a 40% reduction in noise figure compared to the basic Cascode LNA. The simulations are done in cadence virtuoso Spectre RF using 180nm technology. © 2015 The Authors.Published by Elsevier Ltd. Peer-review under responsibility of the organizing committee of RAEREST 2016.
INVISIBLE CHAINS : PSYCHOLOGICAL COERCION OF HUMAN TRAFFICKING VICTIMS

The terror that grips a victim of abuse can be the same whether physical violence or psychological force is used. Rashi was a victim of modern-day slavery for over ten years. She was brought to the United States as a domestic servant and was forced to work from morning to night, was not paid, and was made to sleep on a mat on the floor. She was forced to beg for her meager portions of food and suffered from untreated tuberculosis because she was not allowed to seek medical care. Rashi had no contact with the outside world because her employer forbade her to leave the home, to use the telephone, or even to watch television. She was denigrated and verbally abused on a daily basis. Her employer frequently flew into rages, threatening to have her family killed if she tried to escape. After years of this treatment, a hard stare from her employer was enough to send her cowering into the corner. When Rashi was finally rescued, she was asked why she had not left.
Annual Review of Vision Science Scene Perception in the Human Brain

Humans are remarkably adept at perceiving and understanding complex real-world scenes. Uncovering the neural basis of this ability is an important goal of vision science. Neuroimaging studies have identified three cortical regions that respond selectively to scenes: parahippocampal place area, retrosplenial complex/medial place area, and occipital place area. Here, we review what is known about the visual and functional properties of these brain areas. Scene-selective regions exhibit retinotopic properties and sensitivity to low-level visual features that are characteristic of scenes. They also mediate higher-level representations of layout, objects, and surface properties that allow individual scenes to be recognized and their spatial structure ascertained. Challenges for the future include developing computational models of information processing in scene regions, investigating how these regions support scene perception under ecologically realistic conditions, and understanding how they operate in the context of larger brain networks. 2.1 Review in Advance first posted on June 21, 2019. (Changes may still occur before final publication.) A nn u. R ev . V is . S ci . 2 01 9. 5. D ow nl oa de d fr om w w w . a nn ua lr ev ie w s. or g A cc es s pr ov id ed b y U ni ve rs ity o f Pe nn sy lv an ia o n 07 /2 2/ 19 . F or p er so na l u se o nl y. VS05CH02_Epstein ARjats.cls June 6, 2019 14:17
AM Identifying Common Characteristics of Malicious

Malicious insiders account for large proportion of security breaches or other kinds of loss for organizations and have drawn attention of both academics and practitioners. Although methods and mechanism have been developed to monitor potential insider via electronic data monitoring, few studies focus on predicting potential malicious insiders. Based on the theory of planned behavior, certain cues should be observed or expressed when an individual performs as a malicious insider. Using text mining to analyze various media content of existing insider cases, we strive to develop a method to identify crucial and common indicators that an individual might be a malicious insider.
Cat Swram Optimization with decision tree classifier Based Classification using Diabetes Data

Data mining is extracting the useful information from the database. In this paper, we use the classification method for diabetes diagnosis. Classification is a data mining function that assigns objects in a group to target category or classes. Cat Swarm Optimization (CSO) is one of the new swarm intelligence algorithms for finding the best global solution. Because of density, sometimes the pure CSO takes a long time to congregate and cannot achieve the accurate solution. For solving this problem and improving the convergence accuracy level, we propose a new improved CSO namely ‘Statistical Classifier Cat Swarm Optimization’. First, we add a newb inertia weight to velocity equation and then use an adaptive acceleration coefficient. Second, by using the information of two previous/next dimensions and applying a new feature, we reach to a new position update equation compose the average of position and velocity information. Experimental results for six test functions show that in comparison with the pure CSO, the proposed CSODT can takes a less time to converge and can find the best solution in less iteration. Keydwords:Data mining, diabetes,Swarm Intelligence, Cat Swarm Optimization, Evolutionary Algorithms
An Observational Review and Analysis of Qualitative Data to Explore the Benefits of Equine Assisted Learning in Improving the Engagement of Adolescents with Complex Learning Needs, within the Educational Setting

The study determined whether Equine Assisted Learning (EAL) acted as a positive influence to improve the engagement of adolescents with complex learning needs, within their educational setting. The past two years has seen a continuous increase in the number of pupils with complex learning needs in the UK, from 1,244,255 in January 2017 to 1,276,215 in January 2018, an increase from 14.4% to 14.6%. These increasing figures provide a clear rationale for the requirement for a greater utilisation of various learning intervention tools, to begin to meet the dynamic needs of these learners. Seven participants engaged in six EAL sessions over six weeks and were involved in an array of unmounted EAL activities. Questionnaires were formulated with reference to the “Student Engagement (SE) Survey” and were presented to both staff and parents at three points throughout the study, along with Carpenters approved engagement scale for staff to complete weekly, within the lesson following the EAL session. Furthermore, observational research was conducted by the researcher to generate a supportive discussion for the obtained results. Through the quantitative data formulated no significant difference was shown, however a moderate positive correlation between the before and after results of staff and parent questionnaires was presented (Staff Questionnaire p =.119366. Parent Questionnaire p = .145547). Further trends also began to emerge, with correlations forming between improved engagement and specific EAL activities, providing a direction for future research.