Miracle-dz/UniFAR-FTUs huggingface dataset:
An Ensemble Model for Multi-Level Speech Emotion Recognition

Speech emotion recognition is a challenging and widely examined research topic in the field of speech processing. The accuracy of existing models in speech emotion recognition tasks is not high, and the generalization ability is not strong. Since the feature set and model design of effective speech directly affect the accuracy of speech emotion recognition, research on features and models is important. Because emotional expression is often correlated with the global features, local features, and model design of speech, it is often difficult to find a universal solution for effective speech emotion recognition. Based on this, the main research purpose of this paper is to generate general emotion features in speech signals from different angles, and use the ensemble learning model to perform emotion recognition tasks. It is divided into the following aspects: (1) Three expert roles of speech emotion recognition are designed. Expert 1 focuses on three-dimensional feature extraction of local signals; expert 2 focuses on extraction of comprehensive information in local data; and expert 3 emphasizes global features: acoustic feature descriptors (low-level descriptors (LLDs)), high-level statistics functionals (HSFs), and local features and their timing relationships. A single-/multiple-level deep learning model that meets expert characteristics is designed for each expert, including convolutional neural network (CNN), bi-directional long short-term memory (BLSTM), and gated recurrent unit (GRU). Convolutional recurrent neural network (CRNN), based on a combination of an attention mechanism, is used for internal training of experts. (2) By designing an ensemble learning model, each expert can play to its own advantages and evaluate speech emotions from different focuses. (3) Through experiments, the performance of various experts and ensemble learning models in emotion recognition is compared in the Interactive Emotional Dyadic Motion Capture (IEMOCAP) corpus and the validity of the proposed model is verified.
Analysis of Langmuir Probe Characteristics for Measurement of Plasma Parameters in DC Discharge

There is a growing interest in the study of plasma parameters ( density of charge particles and their energies) for their application in surface plasma ion nitriding. Nitrogen plasma were investigated using the Langmuir probe for dc-glow discharge plasma at operating pressures of 0.06-0.1mbar. Plasma diagnostics was carried out using the single electric probe with tip diameter of 0.5 mm and a length of 2mm, then the I-V characteristic of the probe were plotted at pressures of 0.06-0.1mbar. Plasma parameters such as electron temperature (Te), electron density (ne),ion density(ni), plasma potential and floating potential, were duly obtained. Paschens curve was plotted, showing the breakdown voltage of nitrogen as a function of the product of the pressure in the chamber (P=0.06 to 0.1 mbar) and the distance between the two electrodes (d=4-6 cm) p*d. The minimum breakdown voltage V (min) was determined to be 280V at a pressure of 0.09-0.1 mbar.
Integrated, Portable, Tunable, and Coherent Terahertz Sources and Sensitive Detectors Based on Layered Superconductors

Current compact emitter and receiver technologies are generally inefficient and impractical at terahertz (THz) frequencies between 0.1 and 10 THz. Hence, a gap exists between mature microwave and developed optical technologies. On-chip, integrated broadly tunable and powerful quantum sources that coherently radiate THz waves between 0.1 and 11 THz (potentially extendable to 15 THz) and with potential output power of >1 mW can be achieved based on quantum tunneling of electron pairs across the stack of intrinsic Josephson junctions (IJJs) naturally present in a single crystal of the layered high- ${T}_{c}$ superconducting Bi2Sr2CaCu2O $_{8+\delta}$ (BSCCO). Such devices have been found to be especially promising solid-state THz sources capable of bridging the entire THz gap, as their wide-frequency tunability range is superior to that obtained from their semiconducting-based rivals, either single resonant-tunneling diodes (RTDs) or THz-quantum cascade lasers (QCLs). Due to the unique electrodynamics of BSCCO, they can also be operated as switching current detectors, paving the way for the realization of on-chip THz-integrated circuits for applications in ultrahigh-speed telecommunications, quantum information, on-chip spectroscopy, and nondestructive sensing, testing, and imaging. This article reviews the history and recent advances in THz sources and detectors based on IJJs with a focus on the application of IJJ THz devices in THz spectroscopy and various types of THz imaging systems such as reflection, transmission, and computed tomography. We show that compact IJJ THz devices with sub-centimeter-sized modules are easy to use in many applications, as they can be regarded as pocket quantum THz torches.
LİDER-ÜYE ETKİLEŞİMİ İLE İŞ DOYUMU ARASINDAKİ İLİŞKİDE ÖĞRENEN ORGANİZASYONUN DÜZENLEYİCİ ROLÜ

Businesses, as social systems, are affected by economic, political, social and technological developments that occur over time. In this context, enterprises have to adapt to developments in order to maintain their survival. Nowadays, learning provides an important support in adapting to changes. The continuity of success in business is only possible by making learning a life style. In addition, employee satisfaction is another key to business success. Satisfaction of employees in a business plays an important role in achieving the objectives of the business. However, the relationship between employees and managers within the enterprise is also an effective variable in business success. The individual success of the employees is an indicator of the success of the company. The aim of this study is to determine whether the learning organization variable has a mediating role in the effect of leader-member exchange (LMX) on job satisfaction. The scale developed by Liden and Maslyn (1998) was used to determine the leader-member exchange. For job satisfaction, Chen et al. (2009) and the Turkish version of Turunç and Çelik (2012) was used. For the learning organization variable, items adapted from Turkish by Sarışahin (2013) taken by the original Questionnaire of the Dimensions of The Learning Organization were used. The study was carried out with the participation of employees in two different enterprises operating in the textile sector. According to the results, it was concluded that learning organization variable plays an intermediary role in job satisfaction and leader member interaction.
Optimizing Matching Time Interval and Matching Radius In On-Demand Matching of a Ride-Sourcing Market

Abstract With the availability of the location information of drivers and passengers, ride-sourcing platforms can now provide increasingly efficient online matching compared with physical searching and meeting performed in the traditional taxi market. The matching time interval (the time interval over which waiting passengers and idle drivers are accumulated and then subjected to peer-to-peer matching) and matching radius (or maximum allowable pick-up distance, within which waiting passengers and idle drivers can be matched or paired) are two key control variables that a platform can employ to optimize system performance in an online matching system. By appropriately extending the matching time interval, the platform can accumulate large numbers of waiting (or unserved) passengers and idle drivers and thus match the two pools with a reduced expected pick-up distance. However, if the matching time interval is excessively long, certain passengers may become impatient and even abandon their requests. Meanwhile, a short matching radius can reduce the expected pick-up distance but may decrease the matching rate as well. Therefore, the matching time interval and matching radius should be optimized to enhance system efficiency in terms of passenger waiting time, vehicle utilization, and matching rate. This study proposes a model that delineates the online matching process in ride-sourcing markets. The model is then used to examine the impact of the matching time interval and matching radius on system performance and to jointly optimize the two variables under different levels of supply and demand. Numerical experiments are conducted to demonstrate how the proposed modeling and optimization approaches can improve the real-time matching of ride-sourcing platforms.
Firm Survival through Semi-Exits: The Case of Indian Registered Manufacturing

The paper examines the extent to which product line change as a strategy improves the performance of firms across two manufacturing sectors over a period from 2008-2017. Durability and technology are the two dimensions chosen to identify the sectors. Hence, the paper studies electronic industry and food industry firms as the former are science-based, high-tech firms, whereas, the latter is a traditional manufacturing according to the Pavitt’s taxonomy. Additionally, food products are known to be less durable than the electronic and electrical products. The paper analyzes the data using a cross-section difference-in-differences estimation to study the difference in average performance since the strategy is not an exogenous treatment but relies on firm-specific characteristics. In Appendix 2 results from a hypothetical case is presented in which it shows how the average performance across the two sectors adopting the strategy differs had the strategy been completely exogenous. The results hint towards an overwhelming improvement in the performance for electronic industry firms showing a change in product line as compared to food industry firms not adopting the strategy. Even though it is vital in enhancing the efficiency in firms which is shown both theoretically and empirically still only a few firms adopt the strategy in the Indian market. The paper tries to find reasons for the same by using certain case studies and see how product line change may not be an ideal strategy to undertake despite its role in allocating resources efficiently.
Kabbage: A Fresh Approach to Understanding Fundamental Auditing Concepts and the Effects of Disruptive Technology

Disruptive technology, new business ventures, and increased availability of data are quickly changing traditional financial reporting and assurance processes. As a result, prospective auditors not only need to understand fundamental auditing concepts, but also need to anticipate the influence that disruptive technology will have on the profession. The following case study provides a lens through which prospective auditors can view the coming changes to the profession by asking them to consider how the online lending company, Kabbage, is currently disrupting the lending industry for non-traditional and small businesses. Students contemplate several fundamental auditing concepts such as audit evidence, financial statement assertions, and analytical procedures while also acquiring insight into the effects that new and disruptive technology will have on the profession. The intention is to encourage students to embrace coming changes and become lifetime learners.
Image Gently in Latin America: Progress through Partnership

Poster: "EuroSafe Imaging 2019 / ESI-0063 / Image Gently in Latin America: Progress through Partnership" by: "D. D. C. TANUS BUSTELO1, D. P. Frush2; 1Image Gently Alliance Curitiba/BR, 2Image Gently Alliance Durham/US"
Simulation of Elastic Waves Propagation in 1D Stratified Porous Media for Low and High Frequency Domains

It was considered the low and high frequency domains for elastic waves propagation in 1D stratified porous media, at reservoir and laboratory scales, respectively. The general purpose was to simulate the poroelastic response, considering a mixed problem for the systems of Biot and Biot-JKD equations. Ursin formalism was used to construction of the solution. In addition, a dispersion and attenuation analysis of the waves propagated through a poroelastic medium was performed, relating frequency dependence to phase velocities and wave attenuation. An algorithm was created to construct the solution of the systems and a computational code was implemented to execute simulations. As expected by theory, at simulations the propagation of the slow compressive wave of Biot did not occur for low frequencies. However, for the high frequency domain, the inertial effects were predominant and the slow mode was activated. Moreover, during the simulations for high frequency domain the presence of the converted compressional fast-slow and also slow-fast wave was observed, where the elastic wave propagating in the porous medium converted its propagation mode by refracting or reflecting at an interface between two different poroelastic media.
Acoustic classification in multifrequency echosounder data using deep convolutional neural networks

Acoustic target classification is the process of assigning observed acoustic backscattering intensity to an acoustic category. A deep learning strategy for acoustic target classification using a convolutional network is developed, consisting of an encoder and a decoder, which allow the network to use pixel information and more abstract features. The network can learn features directly from data, and the learned feature space may include both frequency response and school morphology. We tested the method on multifrequency data collected between 2007 and 2018 during the Norwegian sandeel survey. The network was able to distinguish between sandeel schools, schools of other species, and background pixels (including seabed) in new survey data with an F1 score of 0.87 when tested against manually labelled schools. The network separated schools of sandeel and schools of other species with an F1 score of 0.94. A traditional school classification algorithm obtained substantially lower F1 scores (0.77 and 0.82) when tested against the manually labelled schools. To train the network, it was necessary to develop sampling and preprocessing strategies to account for unbalanced classes, inaccurate annotations, and biases in the training data. This is a step towards a method to be applied across a range of acoustic trawl surveys.
A critical analysis of technology’s impact on teacher’s views of literacy learning and teaching: A continuum of understandings

Current research suggests digital games can positively affect learning by motivating students in ways that traditional learning may not. Some argue that games possess similar elements to other signifying systems, including reading and writing. Employing a designbased research framework and drawing connections between gameplay and literacy, we explored how games may benefit from the literacy field’s transactional theory to interpret the ways gameplayers’ efferent and aesthetic stances affect gameplay and learning. Results indicated that (a) students with efferent stances may be better suited to gamebased learning; and (b) games must be purposefully designed to manage the cognitive load required by the content and navigation features. Future research should focus on more in-depth analyses of in-game performance and its relationship to learning outcomes as well as further explore how transactional theory can be used to understand students’ approach to gameplay using a combination of aesthetic and efferent stances.
Performance analysis of practical continuous-variable quantum key distribution systems with weak randomness

Ideal randomness is one of most important conditions for the implementation of continuous-variable quantum key distribution (CVQKD). However, imperfect randomness may exist in a practical CVQKD system due to imperfections in Gaussian modulation or in random-number generators. Here we propose a weak randomness attack model in practical CVQKD systems to investigate the practical performance of the systems with imperfect randomness, where the prepared coherent states based on nonrandom state modulation are assumed to be known by Eve. Then, we perform parameter estimation and calculate the secret key rate of the system based on the proposed attack model. The simulation results demonstrate that a small imperfect randomness can dramatically reduce the secret key rate of the system, which may seriously limit the practical performance of the system. Therefore, true random numbers and perfect Gaussian modulation are key for practical CVQKD systems.
Foreignization or Domestication: The Ideology of Translating Balinese Cultural Words in Sukreni Gadis Bali Translated into English

: Translation is an interesting part of applied linguistics. Translation converts messages from source language or Bahasa Sumber (Bsu) into the target language or Bahasa Sasaran (Bsa), for instance, translating Indonesian messages into English. In performing translation activities, translators often face a number of problems, one of which is problem regarding the cultural content or the cultural differences between Bsu and Bsa. In this case, translators are often put in a dilemmatic condition where they have to choose either to maintain the cultural content from Bsu or adapting the content to the Bsa. Related to the translators’ alignments on this matter, Venuti (1995) has proposed the concept of translation ideology. In regards to the role of ideology of translation, this research was carried out to describe the ideology of translation applied in the translation of a novel entitled Sukreni Gadis Bali . This qualitative research was conducted using the content analysis method which was not bounded by place. This research regarded linguistic data including words, phrases and utterances that contained the elements of Balinese culture found in the novel Sukreni Gadis Bali and an equivalent novel entitled The Rape of Sukreni . Data collection was administered to determine the unit of analysis in the form of linguistic units (words, phrases, and utterances), which contain cultural elements in Bsu and Bsa. The obtained data were then analyzed based on the translation ideology theory proposed by Venuti. The results showed that there was an influence of exile ideology in the translation work on the vocabulary about culture. Domestication ideology occurred 22 times (73.33%), while foreignization ideology appeared 8 times (26.66%). Therefore, domestication translation has been found as the dominant ideology used by the translator. Domestication focuses on the acceptance of the target culture and language in order to make the translated text easier to read and to be understood by target readers. This method was done by replacing the cultural elements in the Bsu with similar cultural elements and in the BSa since cultural elements in Bsa were regarded more familiar to the target readers. This method is commonly used by translators as they expect the target readers to understand the text message without being confused by unfamiliar terms that might affect their fluency in understanding the message. The result is a work that is rich with culture of the target language.
Radioactive Hot-spot Detection Using Unmanned Aerial Vehicle Surveillance

This work proposes a solution to identify the number of sources of radiation, as well as their respective intensities and locations based on data acquired by Global Positioning System (GPS) receivers and affordable radiological sensors, such as Geiger-M¨uller counters (GMC). An optimization algorithm is required to minimize the estimation error in terms of location, intensity and number of sources of radiation given all the intensity measurements acquired in different locations, taking into account the sensors’ models, background radiation intensity values and noise. Experimental results were achieved in a laboratory with controlled sources of radiation. The solution was also tested with real data gathered by a GMC connected to a mobile phone with a software application developed by the authors to synchronize the sensor readings with GPS data. The sensor and the mobile phone are attached to a quadcopter flying over the scenario with sources of radiation.
Building Multi-Material components by Direct Laser Deposition

Most mechanical components are usually made of a single material, as a compromise between chemical, physical and functional properties. When designing an object, the choice of one material over another is driven by many reasons. Sometimes these reasons are not strictly technical, including for instance: biocompatibility, density, weldability, corrosion resistance, price, and appearance. Direct Laser Deposition (DLD) technology is an additive manufacturing process that allows the construction of objects by depositing material layer by layer. With DLD, the metal powder comes out of a nozzle conveyed by a flow of inert gas and is melted by a laser beam. One of the advantages of this technology over other AM technologies (such as SLM) is that it is possible to vary the composition of the deposited material by simply changing the metal powder. It is clear that with DLD technology, the properties of different metallic materials deposited together in a single object can be exploited. With this work the authors present two real-life case studies, in which the DLD technology is used to build multi-material components. Thefirst case concerns a gearbox component made of C40 steel that must work in a food environment and has therefore been completely covered with a layer of stainless steel. The second case is a flange that must have a weldable base, while the internal hole must be made of a high-performance tool-steel.
Long-Term Adaptation of Physical Activity Behavior to Exercise Programs in Type 2 Diabetes

I CANDIDATE’S CERTIFICATE III SUPERVISOR’S CERTIFICATE IV ACKNOWLEDGEMENTS V DEDICATION VI OUTLINE OF THESIS VII DISSEMINATION OF RESEARCH IX PUBLICATIONS AND CONFERENCE PROCEEDINGS ARISING FROM THIS THESIS X Peer-reviewed papers x Conference presentations xi ADDITIONAL WORKS BY THE AUTHOR NOT FORMING PART OF THESIS XII Peer-reviewed papers xii Conference presentations – posters xii TABLE OF CONTENTS XIV CHAPTER 1 INTRODUCTION XX 1.1 DIABETES, CLASSIFICATION AND DIAGNOSES 1 1.2 PREVALENCE OF DIABETES 2 1.3 ETIOLOGY OF TYPE 2 DIABETES 3 1.4 LOW LEVEL OF PA IN TYPE 2 DIABETES 3 1.5 PHYSICAL ACTIVITY AS A TREATMENT FOR TYPE 2 DIABETES 6 1.6 THE RATIONALE FOR THIS INVESTIGATION AND WHAT GAPS IN LITERATURE WILL THIS STUDY FILL? 7 1.7 OUTLINE OF THE THESIS 10 1.8 REFERENCES 13 CHAPTER 2 THE EFFECTS OF STRUCTURED EXERCISE OR LIFESTYLE BEHAVIOR INTERVENTIONS ON LONG-TERM PHYSICAL ACTIVITY LEVEL AND HEALTH OUTCOMES IN INDIVIDUALS WITH TYPE 2 DIABETES: A SYSTEMATIC REVIEW, META-ANALYSIS AND META-REGRESSION 21 2.1 ABSTRACT 22 2.2 INTRODUCTION 23 2.3 METHODS 23 2.3. 1Data sources and searches 23 2.3. 2 Study Selection 24 2.3. 3 Data extraction 25 2.4 DATA SYNTHESIS AND ANALYSIS 26 2.5 QUALITY ASSESSMENT 28 2.6 RESULTS 29