Miracle-dz/UniFAR-FTUs huggingface dataset:
ENGAGING LEARNERS THROUGH EMOTION IN ARTIFICIALLY INTELLIGENT ENVIRONMENTS

Academic Emotion (AE) as defined by Pekrun (2006) [24], can significantly influence student learning and achievement (Villavicencio & Bernard, 2013) [33]. We propose the concept of Extensive Academic Emotion (EAE), which extends AE to include emotional factors considered by Human Computer Interaction (HCI) researchers in the design of interactive systems. We argue that EAE can positively or negatively affect student engagement and success. This paper outlines a brief history of the convergence of the Artificial Intelligence (AI) and eLearning systems, with a particular focus on Intelligent Tutoring Systems (ITS). Where used appropriately, Artificially Intelligent Education (AIEd) models can be used in ITS to positively influence student motivation (Luckin et al 2016) [20]. The Mobile Adaptive Personalised Learning Environment (MAPLE) model (Mehigan & Pitt, 2013) [21] is assessed in light of its strengths and weaknesses for achieving optimal learner engagement. MAPLE is compared to a descriptive and simplified educational technology driven by AIEd. This technology comprises core models designed to support the social, emotional, and meta-cognitive aspects of learning. Appraisal of MAPLE as an AIEd-driven model could inform the extension of existing ITS to achieve optimal mediated AIEd to meet the emotional needs of the learner.
The Heart Attack Detection by ESP8266 Data Communication at a Real Time to Avoid Sudden Death

The problem Heart attack is one of the causes of death at this time. A person may not realize that he suddenly experiences an improper heartbeat so that a sudden heart attack can result in sudden death. Usually a traditional heart rate calculation has been done using hardware such as oximeters or electrocardiogram devices. Although this device has a reliable method for normal users, the use of this device takes a long time to carry out the inspection process. In this paper, we propose a method that can detect heartbeats that are detect directly and can be shared to several telephone numbers of family users, hospitals, paramedics, or private doctors. We developed an internet of thing method that integrates a pulse sensor, microcontrollers and Wi-Fi series data communication device modules ESP8266. The detection of pulse sensors attached of the patient’s body (users) and the microcontroller will be sent in a real time by the ESP8266 circuit module to the several smartphone numbers that have been set it before. The result and benefit of this method is that the patient (user) can be helped immediately if there is a heart rate abnormality, because of the heart rate detection results will spread to the several other people so that the patient (user) can be helped immediately before the condition becomes more fatal.
Phenolic and Mineral Characteristics of Seed Coats and Kernels from 24 Species from Raipur Area, India

Aims: The objective of the present work is the investigation of the physicochemical characteristics of seed coats and kernels from 24 species with medicinal and food applications. Methodology: Seeds from 24 species (2 herbs, 11 vines and 11 trees), belonging to 13 families, were sampled in Raipur (India) in 2017. The collected seeds were dried and weighed, after which seed coats were manually peeled and separately weighed. Phenolic and mineral contents in the seed coats and kernels were analyzed by spectrophotometric and X-ray fluorescence (XRF) techniques, respectively. Results: The seed coat fraction represented from 12% to 95% of the seed mass, depending on the species. The concentrations of total polyphenols, flavonoids and minerals in the seed coats varied from 1800 to 32300 mg/kg, from 1200 to 26900 mg/kg, and from 5876 to 36499 mg/kg, respectively. In the seed kernels, TPh, Fla and minerals ranged from 780 to 31760 mg/kg, from 300 to 12020 mg/kg, and from 12595 to 40810 mg/kg, respectively. P, S, K, Mg, Ca and Fe were found to be the main macro- and micro-elements. Seed coats from Loganiaceae, Phyllanthaceae, Lauraceae and Rutaceae families featured the highest total polyphenol contents, and those from Lauraceae and Rutaceae families showed the highest flavonoid concentrations. The highest total mineral contents corresponded to seed coats from Lauraceae, Rutaceae and Euphorbiaceae families. Conclusion: Indian-laurel and curry tree stand out as promising phytochemical and nutrient sources.
SAVEIT: A SMART ARCHIVE FOR IT SENIOR PROJECTS

The volume and diversity of senior projects are expanding each year. It is exceptionally difficult for students and advisers to keep track of each project. They face difficulty to refer to previous projects, extract some useful information and whether the proposed ideas match potential advisers and their research interests. In addition, decision-makers do not have valuable statistics about senior projects, assigned advisers, and areas of interest of senior projects. SaveIT is a web-based application that is proposed for archiving a large number of senior projects of the previous and upcoming years. It uses the power of text mining tools to generate statistics and interesting patterns from senior projects like trends of programming languages, the frequency plot of areas of interest, and the relationship among areas of interest represented in the network graph. SaveIT helps users without prior expertise in textual analysis to find answers to some important questions. Results showed that the text-mining tools were able to identify a considerable number of relevant terms from the texts analyzed, providing concise representations of projects which can support students and advisers.
Women Self Help Groups

The emergence of Self Help Groups (SHGs) in India is an outcome of neo-liberal paradigm of development where poor take charge of their lives and fashion, a new improved future through self reliant and socially sustainable efforts. SHGs are fully democratic, autonomous and thrift based voluntary organizations. Increased availability of micro-credit to poor through SHGs will enable rural households to take up larger productive activities, empower poor women and decrease dependence on exploitative local money lenders and increase savings. Women SHGs are an effective strategy for poverty alleviation, women development and social empowerment. The joint liability of these groups enables the poor members to over come the problem of collateral security. This study has showed how women SHGs have enhanced the equality of status of women as participants, decision makers and beneficiaries in the cultural spheres of life in India. The views and conclusions covered in this book would be useful for social activists, academicians, researchers and policymakers.
Real-time inspection of 3D features using sUAS with low-cost sensor suites

Recently, commercial Small Unmanned Aerial Systems (sUAS) have become very popular for real-time inspection tasks due to their cost-effectiveness at covering large areas quickly. Within these tasks, many objects of interest are best characterized by their 3D geometry. This is particularly true when considering the false alarm rates associated with automated analysis of features with irregular appearance, but well-characterized geometry. However, sUAS and low-cost sensors present challenges for sUAS tasks due to the limitations in payload and sensor quality. We examine the effectiveness of multi-view stereo and commercial LIDAR in the domain of rapid airfield damage assessment. On-board cameras that can capture high-resolution video and still images are ubiquitous in the commercial sUAS market. Multi-view stereo provides an approach that extracts dense 3D points for a scene, creating an appealing solution that requires no additional hardware for most sUAS. Recent advances in multi-view stereo approach real-time processing rates, and provide excellent stability. Also, commercial LIDAR prices have dropped dramatically in recent years, along with the size, weight, and power (SWaP) of these devices. However, typical applications of airborne LIDAR require a highly tuned motion measurement suite. We examine the processing and performance trade-offs associated with each of these approaches in the context of rapid airfield damage assessment. We examine flight time, minimum object size, processing time, SWaP, and detection and false alarm rates over a test area of approximately 35,000 square meters.
A nanoscale vacuum-tube diode triggered by few-cycle laser pulses

We propose and demonstrate a nanoscale vacuum-tube diode triggered by few-cycle near-infrared laser pulses. It represents an ultrafast electronic device based on light fields, exploiting near-field optical enhancement at surfaces of two metal nanotips. The sharper of the two tips displays a stronger field-enhancement, resulting in larger photoemission yields at its surface. One laser pulse with a peak intensity of 4.7 × 1011 W/cm2 triggers photoemission of ∼16 electrons from the sharper cathode tip, while emission from the blunter anode tip is suppressed by 19 dB to ∼0.2 electrons per pulse. Thus, the laser-triggered current between two tips exhibit a rectifying behavior, in analogy to classical vacuum-tube diodes. According to the kinetic energy of the emitted electrons and the distance between the tips, the total operation time of this laser-triggered nanoscale diode is estimated to be below 1 ps.
Electronic Learning May Improve the Teaching and Learning of Mathematics and Science in Marginalized Schools in Nakivale Refugee Settlement, Uganda: A Baseline Analysis

Background: Over the years, mathematics and sciences have been performed poorly worldwide. There is an overwhelming high failure rates of mathematics and sciences in the marginalized schools found in Nakivale refugee settlement in Uganda. Electronic (e)-learning tools could be promising interactive strategies for teaching mathematics and sciences. There is lack of studies documenting educational challenges in the refugee settlement, and how e-learning can address the challenges.Objective: To identify the challenges experienced in teaching and learning mathematics and sciences in schools found in Nakivale refugee settlement, and explore the potentials of using e-learning to address the identified challenges.Methods: We employed a parallel mixed methods study design that utilized focus group discussions and surveys. We purposively conducted a focus group discussion with the 17 mathematics/science teachers that we had trained (in e-learning) from 6 schools in Nakivale refugee settlement. We also administered surveys to 267 learners and mathematics/science teachers of the six participating schools.Results: Educational challenges reported by participants are: 1) lack of access to modern teaching and learning resources, 2) Leaners’ negative attitudes towards mathematics and science, 3) overwhelming number of learners in class. 4) Lack of ICT pedagogical skills. They anticipated that e-learning could potentially: 1) enable unlimited and flexible access to educational resources, and 2) enhance engagement, interest and understanding of learning concepts. They however worried about the availability of sufficient technological infrastructure (e.g. internet, computers, and electricity) and skills to use the application. Conclusion: E-learning may enable unlimited and flexible access to educational resources, and enhance engagement, interest and understanding of learning concepts, which could potentially improve performance in mathematics and sciences in otherwise marginalized schools.
INTRA: INTRODUCING ADAPTATION IN 5G MONITORING FRAMEWORKS

Following the rapid development and innovations of mobile networking technologies, an entirely new era of mobile communications systems is evolving, namely the fifth-generation mobile technology (5G). Among the goals of 5G networks, one is to meet predetermined Quality of Service (QoS) requirements, in different application scenarios (e.g., such as data transmission rate and latency). To this end, the demand for always-accessible applications and services is continuously growing, rendering the monitoring of network availability a fundamental requirement for modern infrastructures. Network monitoring systems provide a first level of reliability in case of application failure or performance deterioration. Meanwhile, a monitoring framework should accumulate the process and deliver the monitored data at every requested aggregation level and frequency, without introducing a substantial overhead into the system. In this paper, we focus on the trade-off between the running services and the monitoring framework itself. We propose an adaptive scheduling algorithm, aiming at the removal of static time interval applied in the monitoring system. The main goal is to provide highly accurate information in real time without producing unnecessary traffic to the network.
Proceedings of the International Workshop Slowly Degradable Organics in the Atmospheric Environment and Air-Sea Exchange

In 1980 in the Bohai Sea, the mean DDT levels were much higher (319 ng/g) in suspended matter than in surface sediment (0.69 ng/g) and in the aqueous phase (1.28-6.17 ng/l). In the Changjiang Estuary the general concentrations of POPs are lower than in the Bohai Sea. In 1996 the polyaromatic hydrocarbons (PAHs) in a sediment core taken from the intertidal flat ranged from 0.08 to 11.7 μg/g. The concentration levels of total and individual PAHs changed dramatically with depth. The historical record of PAHs in the core shows one or more subsurface maxima, i.e. a lower level close to the surface. The PAH sediment record in the core profile is in agreement with historic sewage discharge events during the 1980s to 1990s. From the variations of hexachlorocyclohexanes (HCH) and DDT contents in surface sediments in Changjiang Estuary-Hangzhou Bay the temporal distributions of the two substances decreased largely in the late of 1980s and in 1990s. Inverse relationships between levels of HCH and DDT with salinity in water indicate the dispersion of POPs from near shore to the open sea. The Pearl River sediments deposited after 1980 have higher concentrations of total PAHs than those deposited earlier. Furthermore, higher fluxes of PAHs discharged to the Pearl river were found after 1990. HCHs and DDT decreased (1995 vs. 1981). DDT as well as hexachlorocyclohexane (HCB) decreased also in Macao estuary (after 1993 vs. 1993). In Victoria Harbour, Hong Kong, DDT (1.38-97 ng/g) and PAHs (1.2-454 μg/g) are spatially highly variable in the sediment, while the distribution of PCBs is relatively homogeneous (6.2-81 ng/g). Levels of PAHs (0.4-61 μg/g in 1993 and 1999) and HCHs (0.14-1.1 ng/g with γ-HCH being the highest concentrated isomer; 1999) are lower in western Xiamen harbour, but the contamination by DDTs is larger.
Effektives Widening mit Hashbasierter Partitionierung des Hypothesenraums

In machine learning, models are fitted to previously collected data in such a way that they can subsequently be used to describe the underlying structure of the data or to classify and explain new data from the same source. In many model training algorithms the fitting of the model happens by applying small changes in a step-by-step fashion. Changes that lead to a decrease in a cost function’s value are accepted and others discarded. This makes learning a combinatorial optimization and search problem. The space in which the search takes place is the hypothesis space, with its elements being represented by models. Within the hypothesis space certain topological features, such as local minima and maxima, complicate the search for the best models. Despite their sensitivity to such hindrances, greedy algorithms are a popular method for this search due to their ability to quickly find models that are good enough. In most cases these algorithms do not make use of the parallel compute units, commonplace in modern computer systems. In so-called Widening, parallel computing architectures are utilized to improve greedy algorithms in machine learning by searching the hypothesis space in a distributed fashion. In doing so, it is important that diverse regions of the space are searched in order to circumvent critical structures such as the local optima, mentioned above. Previous publications around this topic focused on approaches that either prohibit communication between parallel compute units and partition the hypothesis space in advance or that use distance metrics for models to explicitly enforce diversity with ample communication. This work introduces the bucket selector, a widening method that enables a wide search through the hypothesis space with little communication and no calculation of model distances and finding qualitatively better models than other approaches. Particularly efficient implementations of the bucket selector are possible on MapReduce systems. Two example problems, hierarchical agglomerative clustering and join order optimization, are used to highlight how the bucket selector finds better solutions faster than competing methods.
Some Classes of Shapes of the Rotating Liquid Drop

Presented by Ivaïlo Mladenov Abstract. The problem of a fluid body rotating with a constant angular velocity and subjected to uniform external pressure is of real interest in both fluid dynamics and nuclear theory. Besides, from the geometrical viewpoint the sought equilibrium configuration of such system turns out to be equivalent to the problem of determining the surface of revolution with a prescribed mean curvature. In the simply connected case, the equilibrium surface can be parameterized explicitly via elliptic integrals of the first and second kind. MSC : 53A04, 53A05, 53A10, 53B50, 33E05, 53C22, 76B45, 76D45
Colloquialization versus Densification in Australian English: A Multidimensional Analysis of the Australian Diachronic Hansard Corpus (ADHC)

Colloquialization has been identified as one of the most important factors in short-term language change, and has been proposed as playing a particularly important role in Australian English. At the same time, some studies have observed the contrasting trend of densification (as one manifestation of anti-colloquialization), where information is condensed into fewer words—a characteristic of written language unlike the more diffuse expression expected in spoken styles. There is limited research into the dynamic between these complementary patterns of language change using large diachronic corpora and comprehensive sets of features associated with colloquialization and densification. This paper addresses these gaps by applying the multidimensional method of Biber (1988) to the Australian Diachronic Hansard Corpus (1901–2015). A quantitative analysis (at both the macro-level of factor (or dimension) scores and the micro-level of individual features) provides substantive evidence for the effects of both processes of language change. It is proposed that five factors (editorial policy, communicative aims of the register, intended audience, production mechanisms and broader social context) interact in shaping the relationship between these two processes in this register.
Modélisation ondulatoire de structures optiques résonantes : application aux microcavités diélectriques bidimensionnelles

Devices based on dielectric microcavities are used in a broad range of applications such as biosensing, quantum computing and novel laser sources. The most useful features for those applications are the high field intensity confined in a small modal volume and high quality factor (or high photon confinement time) associated with the microcavities, leading to efficient resonant recirculation. Two-dimensional microdisk cavities (10-100 μm radius) are of great interest owing to their straightforward fabrication and integration. Therefore, they are often used as building blocks for photonic devices. The goal of this master thesis is the modeling of two-dimensional photonic structures, more precisely dielectric microcavities. For this purpose, two types of numerical methods are used. First, an algorithm based on a boundary integral formulation is used to compute the resonant modes and quality factor of cavities. The method is generalized to an arbitrary number of simply or multiply connected dielectric regions. We carry a detailed case study of the annular cavity, basically a microdisk with a circular defect in it. This geometry exhibits a greater scope of emission profiles while preserving the high quality factor of symmetric cavities. Our results are aimed at providing design rules for directional microlasers. Second, a finite element model of the evanescent coupling between a rectangular dielectric waveguide and a microdisk is presented. The main goal of this model is to optimize the geometric parameters of an integrated optics device useful in the field of biosensing.
Military-Related Posttraumatic Emotional Numbing: A Three-Article Dissertation

ii ACKNOWLEDGEMENTS . iv DEDICATION . vi LIST OF TABLES AND FIGURES. vii CHAPTER 1: GENERAL INTRODUCTION . 1 CHAPTER 2: DEAD INSIDE: A SYSTEMATIC REVIEW OF THE PSYCHOSOCIAL EFFECTS OF COMBAT-RELATED EMOTIONAL NUMBING . 55 CHAPTER 3: IRAQ AND AFGHANISTAN VETERANS’ PTSD MILVLOGS ON YOUTUBE: A PHENOMENOLOGICAL INQUIRY . 92 CHAPTER 4: PILOT STUDY OF A SINGLE SESSION HEART RATE VARIABILITY BIOFEEDBACK INTERVENTION ON VETERANS’ POSTTRAUMATIC STRESS SYMPTOMS . 128 CHAPTER 5: GENERAL CONCLUSIONS. 162
State Capitalism and Chinese Food Security Governance

Abstract Since the financial crisis of 2008–9, how a state can play a more active role in correcting market failure has become a central topic in political economy. Thus, academia is again discussing state capitalism seriously. Contemporary state capitalism assumes state intervention in markets is becoming more multifaceted. Consequently, traditional state-owned enterprises exist alongside new government-favored actors, such as privately owned national champions and sovereign wealth funds, intervening in markets. This coalition helps the state achieve its security, political, economic, social, and nationalistic goals more efficiently. Its growing power in markets also heralds the return of state capitalism. This paper uses state capitalism theories to re-interpret China's food security governance. The three preliminary findings are as follows. First, China's food security governance is typically operated under state capitalism, which has successfully managed China's food availability, though not without some corruption, but has weakened its food accessibility. Second, using state capitalism to manage China's food safety has been impeded, so the effects remain to be seen. Third, state capitalism has successfully improved the stability of the food supply and demand in China, but its agricultural business branching-out strategy has worried the international community and should be observed further.
Traditional banks against fintech startups: a field investigation of a regional bank in Indonesia

This research examines the way in which traditional banks are competing against the emerging fintech startups. This study identifies driving factors and uniqueness that illustrate the peculiar characteristics of incumbents, analyzes their internal readiness and capabilities, and examines their strategic response against fintech startups. In doing so, this paper examines Small Town Bank (STB)1, a regional bank in Indonesia, regarding its ability to innovate. Data are obtained from primary sources through internal and external questionnaires, as well as secondary data. The results of the study indicate that, in general, the bank already has a reasonably good innovation readiness, but there are several aspects that need to be noted, namely: optimization of current services, consolidation, and internal restructuration. Concurrently, while fintech has a very broad and massive technical and managerial impact, it does not mean that incumbent banks and traditional financial services cannot compete.