Miracle-dz/UniFAR-FTUs huggingface dataset:
SMU Data Science

This paper proposes a method for the integration of natural language understanding in image classification to improve classification accuracy by making use of associated metadata. Traditionally, only image features have been used in the classification process; however, metadata accompanies images from many sources. This study implemented a multi-modal image classification model that combines convolutional methods with natural language understanding of descriptions, titles, and tags to improve image classification. The novelty of this approach was to learn from additional external features associated with the images using natural language understanding with transfer learning. It was found that the combination of ResNet-50 image feature extraction and Universal Sentence Encoder embeddings yielded a Top 5 error rate of 73.05% and Top 1 error rate of 54.65%, which is an improvement of 1.56% on benchmark results. This suggests external text features can be used to aid image classification when they are available.
A passive auxiliary circuit with interphase transformer applied in 12-pulse converters to provide clean power utility interface

Abstract This paper proposes a passive auxiliary circuit which can be added to an interphase transformer (PAC + IPT) configuration to reduce the total harmonic distortion (THD) existing in 12-pulse diode rectifier converter systems at AC mains. The proposed PAC + IPT compensation method is a simple structure, with low power consumption and requires no extra DC power supply. We present the theoretical analysis of the proposed topology that lessens the total harmonic distortion (THD) and evaluate the dynamic simulation results on a 12-pulse converter system and a 3-kW laboratory prototype. Both the simulation and the experimental results show that the proposed PAC + IPT compensation method can improve the power quality and provide a clean power utility interface of AC line input currents for a conventional 12-pulse diode rectifier converter.
Relationships among gasoline prices of eight brands at the north of Mexico City

This document uses a vector error correction model to obtain the decomposition into permanent and transitory components of gasoline prices offered by eight brands in the north of Mexico City, through an impulse response analy sis and variance decomposition, from July 1, 2018, to june 17, 2020. The main findings are that are multiple influences and interdependencies among the eight brands’ prices analyzed. In the short term, three patterns in pricing are identified: ( a ) prices initially explained by themselves but rapidly influenced by the rest of prices, ( b ) prices explained throughout the cycle mainly by their disturbances, and ( c ) prices that depend strongly on the rest of prices. In the long term, these patterns consequently determine that there are three cointe gration vectors between all prices. The results found in the analyzed period suggest that it is perhaps still early to expect that there will be an equilibrium price vector derived from a competitive market in Mexico.
Prophylactic and reactive vaccination strategies for healthcare workers against MERS-CoV

Several vaccines candidates are in development against Middle East respiratory syndrome-related coronavirus (MERS-CoV), which remains a major public health concern. Using individual-level data on the 2013-2014 Kingdom of Saudi Arabia epidemic, we employ counterfactual analysis on inferred transmission trees ("who-infected-whom") to assess potential vaccine impact. We investigate the conditions under which prophylactic "proactive" campaigns would outperform "reactive" campaigns (i.e. vaccinating either before or in response to the next outbreak), focussing on healthcare workers. Spatial scale is crucial: if vaccinating healthcare workers in response to outbreaks at their hospital only, proactive campaigns perform better, unless efficacy has waned significantly. However, campaigns that react at regional or national level consistently outperform proactive campaigns. Measures targeting the animal reservoir reduce transmission linearly, albeit with wide uncertainty. Substantial reduction of MERS-CoV morbidity and mortality is possible when vaccinating healthcare workers, underlining the need for at-risk countries to stockpile vaccines when available.
REMOVAL OF DYEW ASTE COLOUR FROM SEW AGE EFFLUENT – THE USE OF A FULL SCALE OZONE PLANT

Textile dyeing within the Severn Trent Region produces highly coloured wastewater. This dyewaste is usually discharged untreated to foul sewer. Conventional treatment at the receiving sewage treatment works removes little colour resulting in colouration of effluents and rivers in certain areas. The regulatory body (N.R.A.) has set strict colour standards on 5 of S.T. W.L. sewage works. These standards are based on a River Quality Objective (R.Q.O.). Methods of removing colour are reviewed. The full scale ozone colour removal plant at Leek S.T. W. is described and early operating data is given. Good colour removal has been obtained, but compliance with the consent has been 89.7% and not the 100% required. Data is presented to indicate that the R.Q. O. does not adequately take natural colour into account. Target aborbances at 400 and 450 nm are thus too low to be practicable for the derived sewage effluent consents.
Thalamocortical Mechanisms for Nostalgia-Induced Analgesia

As a predominately positive emotion, nostalgia serves various adaptive functions, including a recently revealed analgesic effect. The current fMRI study aimed to explore the neural mechanisms underlying the nostalgia-induced analgesic effect on noxious thermal stimuli of different intensities. Human participants' (males and females) behavior results showed that the nostalgia paradigm significantly reduced participants' perception of pain, particularly at low pain intensities. fMRI analysis revealed that analgesia was related to decreased brain activity in pain-related brain regions, including the lingual and parahippocampal gyrus. Notably, anterior thalamic activation during the nostalgia stage predicted posterior parietal thalamus activation during the pain stage, suggesting that the thalamus might play a key role as a central functional linkage in the analgesic effect. Moreover, while thalamus-PAG functional connectivity was found to be related to nostalgic strength, periaqueductal gray-dorsolateral prefrontal cortex (PAG-dlPFC) functional connectivity was found to be associated with pain perception, suggesting possible analgesic modulatory pathways. These findings demonstrate the analgesic effect of nostalgia and, more importantly, shed light on its neural mechanism. SIGNIFICANCE STATEMENT Nostalgia is known to reduce individuals' perception of physical pain. The underlying brain mechanisms, however, are unclear. Our study found that the thalamus plays a key role as a functional linkage between nostalgia and pain, suggesting a possible analgesic modulatory mechanism of nostalgia. These findings have implications for the underlying brain mechanisms of psychological analgesia.
Main Realizations of HVDC Extruded Cable Systems in the World

This chapter discusses, in detail, the practical realizations of HVDC extruded cable systems by presenting the main HVDC extruded systems that are installed and are currently in service worldwide. It presents a detailed illustration of each one of the projects namely: Gotland Link, Murraylink, Cross Sound Cable (CSC), Troll A Platform, Estlink, BorWin 1, Trans Bay Project and Hokkaido-Honshu Intertie. The chapter also discusses the HVDC extruded cable systems in operation, and describes some of the practical problems tackled at the design, manufacturing, and installation stages.
Effect sizes for contrasts of estimated marginal effects

The statistical literature is replete with calls to report standardized measures of effect size alongside traditional p-values and null hypothesis tests. While effect-size measures such as Cohen’s d and Hedges’s g are straightforward to calculate for t tests, this is not the case for parameters in more complex linear models, where traditional effect-size measures such as η 2 and ω 2 face limitations. After a review of effect sizes and their implementation in Stata, I introduce the community-contributed command mces. This postestimation command reports standardized effect-size statistics for dichotomous comparisons of marginal-effect contrasts obtained from margins and mimrgns, including with complex samples, for continuous outcome variables. mces provides Stata users the ability to report straightforward estimates of effect size in many modeling applications.
Standards Commonly Used for Microgrids—A Research Project to Develop an Industry Microgrid Standard in Taiwan

Abstract This article presents standards commonly used for microgrid technology and practical tests of these standards before developing an industry microgrid standard. Standards of communication networks, Internet security, data and communications security, installation and protection of distributed generators and energy storage devices, electronic power interfaces of distributed energy resources, and interconnection of microgrids to electric power system are analyzed. The practical tests for the above standards are planned to perform at a low-voltage (380-V) AC microgrid test bed built by the Institute of Nuclear Energy Research, Taiwan. Microgrid configurations, installation of distributed generators and energy storage systems, operation conditions of the microgrid, microgrid energy management and control systems, and microgrid protection are mentioned in the proposed standard tests. The main contributions of this article are (i) to review and analyze common standards used for microgrids, (ii) to present research works from Taiwan to develop a microgrid standard for industry applications, and (iii) to propose practical tests of critical standards used for microgrids and how to perform these tests at a real-time low-voltage AC microgrid in Taiwan.
Beyond Continuous Integration: Factors Influencing Adoption of Continuous Delivery in Irish

Modern software companies are under pressure to develop high-quality software faster than ever before, while keeping risks to a minimum. Adding to this pressure, experimentation and rapid feedback are playing an increasingly important role in software product development, allowing the most agile companies to gain a competitive advantage. Continuous Delivery is a promising addition to modern software development practices, offering practitioners the ability to deliver quality software to the customer in shorter iterations, while learning and experimenting with every release. This research investigates the extent of Continuous Delivery use in small to medium-sized companies in Ireland, and uncovers factors influencing its adoption. A large variation in Continuous Delivery adoption was observed. The research establishes that a company’s total number of employees, and its number of software-related employees, significantly influence Continuous Delivery adoption. Furthermore, the research shows that there is a significant difference between Continuous Delivery practices used in the development of mobile software, and those used in the development of web-based software. Finally, a number of additional factors that influence Continuous Delivery adoption emerged, which included: software development culture; the use of legacy systems; personal perceptions of Continuous Delivery practices; and the alignment of business processes with software development and delivery processes.
Opleiding Informatica Quantum topological data analysis on near-term devices

Topological data analysis (TDA) is an increasingly more investigated and used method in machine learning. The crux of TDA is the calculation of the number of high dimensional "holes" in a data set, which helps robustly characterise that data set. This process is computationally expensive, and it has been shown it can signiﬁcantly beneﬁt from the use of quantum computers. However, current quantum computers are limited in terms of the size and quality of their memory, limiting both the size and depth of the computation that can be run. In this thesis we seek to optimize the quantum topological data analysis algorithm for use on near-term quantum computers. The original quantum TDA algorithm works by relying on a certain class of algorithms for so-called Hamiltonian simulation, which is a step in the quantum TDA method. This class of algorithms leads to deep quantum computations and require many ancillary qubits. This approach is therefore not suitable for near-term quantum computers. In this thesis we will investigate the possibility of using the much more eﬃcient, but limited, Trotterization-based algorithm for Hamiltonian simulation, which can lead to a more eﬃcient scheme for quantum topological data analysis. In using this Troterrization-based approach, the key technical challenge is identifying a way to express the so-called combinatorial Laplacian matrices - which are key objects characterising the data in TDA - at least approximately in terms of as few as possible special matrices called Pauli strings. In this work we analyse the number of Pauli strings appearing in practice, and the robustness of the method of ignoring some of the terms to save computational resources. The presented research shows that up to 70 percent of these Pauli strings can be removed while keeping a good approximation for the resulting number of high-dimensional holes. Further we show that the error in this approximation can even be reduced using an additional trick we call the prefactor term. This work sets the basis for even more eﬃcient quantum TDA algorithms which can be run on near-term quantum computers.
Non-Dyadic Entrainment for Industrial Tasks

—In order to achieve efficient collaboration during task completion in groups, temporal alignment is essential, i.e., synchronisation. We believe that efficient entrainment in mixed human-robot teams can positively affect human-robot collaboration. However, few studies have investigated how groups of humans entrain with each other to acquire new knowledge transferable to human-robot collaboration. This paper proposes a study design to get new insights into how dyads and triads of human workers entrain in assembly tasks simulating the industrial context. We argue that the investigation of both dyadic and non-dyadic (i.e., triadic) configurations is essential, as this will give us insights into how, and if, the complexity of reaching temporal synchronisation through entrainment increases with additional actors. Lastly, we propose a follow-up study investigating how the mechanisms utilised in human-human entrainment can be replicated in an industrial robot, ultimately improving human-robot collaboration in mixed teams.
Magneto-optical activity in organic thin film materials

A series of CF3-capped phenylacetylenes with varying symmetry is obtained by a conventional palladium-catalyzed cross-coupling protocol. The phenylacetylene targets form thin films both, liquid crystalline (LC) and crystalline in nature depending on their molecular structure. The magneto-optical activity of the resulting organic material is extraordinarily high as proved by Faraday rotation spectroscopy on thin film devices.
Case Studies of WSN-CPS Applications

The most representative form of cyber-physical systems (CPSs) involves wireless sensor networks (WSNs) as the main means to interact with physical entities. This chapter reviews a number of such WSN-CPS applications and reveals how these applications bridge the gap between sensing information in the cyber world and diverse entities in the physical world. We divide these applications into five categories: smart space systems, healthcare systems, emergency response systems, human activity inference, and smart city systems. Smart space systems monitor energy usage, temperature, and various other attributes of appliances in an indoor space. Healthcare systems assist people to improve physical and emotional well-being through automatic sensing and sense-making technologies. Emergency response systems search for and rescue people as soon as possible in emergency situations such as fire outbreaks. Human activity inference systems interpret human intention behind sensing information to facilitate human daily activities related to social events, road safety, mood detection, interactive games, etc. Smart city systems concentrate on city dynamics such as urban environmental monitoring, human mobility, and transport information. Our discussion in this chapter is steered from simple to complex systems in terms of networking technologies, service ranges, system integration, and human engagement. We conclude by discussing important technical components, future trends, and open issues in WSN-CPS applications in order to provide readers with technical pointers for designing next-generation WSN-CPS applications.
Procesy przedsiębiorczości i innowacyjności jako podstawa odnowy organizacyjnej* 1 Entrepreneurship and innovativeness processes as antecedents of organizational renewal

Turbulent and complex environment forces organizations to change the formula in which they run their business. In order to survive and stay on the competitive edge, organizations, by seeking, identifying, taking up and exploiting opportunities either adapt to new conditions, or proactively anticipate and pioneer new solutions, consequently changing strategies or business models. This paper presents the concepts of innovativeness and entrepreneurship, which – through direct relations with opportunity exploitation – act as antecedents of strategic and organizational renewal. Special attention has been drawn at including entrepreneurship and innovativeness processes into organizational strategy, aiming at successful renewal. Different approaches towards identifying and exploiting opportunities, as well as various methods of new business planning became an inspiration for presenting the entrepreneurial renewal matrix. Theoretical aspects were described, as well as results of empirical research concerning entrepreneurial renewal were presented.
Hardware Implementation of Shunt APF Using Modified Fuzzy Control Algorithm with STM32F407VGT Microcontroller

Abstract This article presents a modified fuzzy controller (MFC) to generate a reference signal for the control algorithm to drive the shunt active power filter (SAPF) for improving the power quality of a microgrid at the distribution end. The proposed MFC, based on the alive-and-kicking behavior of the system, is used to regulate the DC-link voltage of the SAPF. The MFC is implemented through the general dynamic behavior of a process with introducing the new rules set. It is compared with the PI controller for evaluation of optimal steady-state, dynamic, and transient performance of SAPF, namely the reactive power and DC voltage control. The effectiveness of the proposed controller is tested on non-linear loads using a hardware prototype. The STM32F407VGT (ARM Ltd., San Jose, California, USA) processor is used to interface algorithm with the hardware setup. The results of the proposed controller scheme are promising and are compared with MATLAB (The MathWorks, Natick, Massachusetts, USA) simulation results. The system is capable for minimizing current harmonics, reactive power and improving the power factor. Also, the advantage of the STM32F407VGT over the Digital Signal Processor (Texas Instruments, USA) is introduced. The performance of the proposed controller is better in comparison with conventional controller.
Low temperature (800/spl deg/C) recessed junction selective silicon-germanium source/drain technology for sub-70 nm CMOS

We present a novel, low-temperature source/drain junction and contact formation technology applicable to sub-70 nm CMOS. In this process, in-situ boron doped SiGe is selectively deposited at 500/spl deg/C in the source/drain windows recessed to the desired junction depth. The technology meets the NTRS roadmap requirements for (i) junction depth/sheet resistance (<100 /spl Omega//sq. for 30 nm junctions), (ii) ultra-low resistivity contacts (1.5/spl times/10/sup -8/ /spl Omega/-cm/sup 2/), (iii) excellent reverse leakage characteristics (less than 1% of the I/sub OFF/ budget), (iv) perfect box-shaped lateral abruptness and (v) thermal integration compatibility with high-k gate dielectrics using the conventional (gate-last) CMOS process flow.
THE IMPACT OF VIRAL MUSIC VIDEOS ON THE YOUTH OF BENGALURU, INDIA

: Viral music has gained popularity over the last decade and YouTube, along with other forms of social media have emerged as a popular platform for sharing content. Viral video is defined as the phenomenon of a video becoming highly popular through rapid, content and user-led distribution via the internet. This study analyzes three music videos that went viral on social media; ‘Gangnam Style’, ‘Why this Kolaveri Di’ and ‘Pen Pineapple Apple Pen’, and attempts to understand the factors that contributed to making these songs go viral. Using the theory of Uses and Gratification and School of Thought of Absurdity, this study analyzes if these viral music videos have an impact on the youth. The results show that viral music create an impact on the youth and they perceive meanings from these songs. The elements of these videos including the creative concept framework and audio-visual content contribute to the songs going viral. The study further provides an intuitive model to depict the different components that lead to viralization.
The Prevention of Cisplatin-Induced Nephrotoxicity: A General Consensus Statement of a Group of Oncologist-Hematologists, Adult and Pediatric Nephrologists, Radiation Oncologists, Clinical Pathologists, Clinical Pharmacologists, and Renal Physiologists on Cisplatin Therapy in Cancer Patients

Backgrounds: Most of the cancer patients with solid tumor are subjected to chemotherapy with cisplatin (CP) in clinic. However, the most side effect of CP is nephrotoxicity, which limits the treatment. The aim of study was to develop a general consensus statement for CP therapy in clinic to limit the drug-induced nephrotoxicity. Methods: A total of 30 oncologist-hematologists, adult and pediatric nephrologists, radiation oncologists, clinical pathologist clinical pharmacologist, and renal physiologist participated in a workshop, and in order to reduce the incidence of CP-induced nephrotoxicity, a general consensus was developed. Results: The developed general consensus was focused on some items such as age, sex, female hormone, nonsteroidal anti-inflammatory drugs (NSAID), renin–angiotensin system inhibitor drugs, glomerular filtration rate, hydration methods, contrasts, antioxidants, dextrose, and magnesium. Conclusion: The agreement between participants for CP therapy in clinic was achieved, and this general consensus was announced to be implemented in the hospitals.
Les ingénieurs allemands dans l'industrie française d'armement entre 1945 et 1950

Between 1945 and 1950, French occupational authorities proceeded massive recruitment of German engineers specialized in arms production, in order to benefit from the German technological advance gained under the Nazi regime and to rebuild their own defence-related industries. This recruitment revealed to be part of a broader recruitment of German workers and scientists in post-war France in all types of industries, but the specific German contribution to the renewal of the French defence industry was not only a short limited story of successful cooperation but already a step towards further and common Franco-German arms production.