Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Related to Psychological Distress during the First Stage of the COVID-19 Pandemic on the Chilean Population

The health effects of COVID-19 continue to raise doubts today. In some areas, such as mental health, these doubts have scarcely been addressed. The present study analyses the effects on psychological distress during the first phase of the pandemic in Chile. A cross-sectional descriptive study was performed by using a questionnaire validated in Spain and adapted for Chile. Between 22 April and 16 December 2020, 3227 questionnaires were collected from the 16 regions of Chile, using non-probabilistic snowball sampling. Bivariate analysis and binary logistic regression were performed. The variables that could predict psychological distress during the COVID-19 pandemic in Chile were: having a poor self-perception of health OR = 4.038, 95% CI = (2.831, 5.758); being younger than 29 OR = 2.287, 95% CI = (1.893, 2.762); having diarrhea OR = 2.093, 95% CI = (1.414, 3.098); having headache OR = 2.019, 95% CI = (1.662, 2.453); being a woman OR = 1.638, 95% CI = (1.363, 1.967); having muscle pain OR = 1.439, 95% CI = (1.114, 1.859); and having had casual contact with an infected person OR = 1.410, 95% CI = (1.138, 1.747). In Chile, with a better social, economic, cultural, and health environment compared to neighboring countries, there has been a high percentage of psychological distress. It is time to prioritize measures to safeguard the mental health of Chileans, especially focused on the most vulnerable population according to our results, i.e., young women with poorer health status.
Consumer Profile and Drivers Influencing Consumer Behavior towards Fondillón, a European Protected Naturally Sweet Red Wine

Fondillón is a naturally sweet red wine, protected within the Alicante Denomination of Origin (Alicante, Spain) and recognized by the European Union in its E-Bacchus database. The aims of this study were (i) to evaluate the degree of consumer acceptance and satisfaction towards Fondillón, (ii) to establish key drivers controlling consumer satisfaction, and (iii) to establish a general profile of the typical Fondillón consumer. The experiment consisted of three complementary studies: (i) a descriptive sensory analysis of five Fondillón samples representing all samples being marketed, (ii) an affective test using wine consumers (n = 100), and (iii) an online questionnaire to identify the main characteristic of a Fondillón consumer (n = 294). The main consumption drivers were good balance, intense floral and fruity notes, and long aftertaste. The current typical Fondillón consumer is a 42–52 year-old man, with a higher education level, with a 25,000–50,000 euros/year income, and who drinks it mainly at home. The online study showed that 50% of respondents do not consume Fondillón because they do not know it, because it is very expensive, or because it is not so easy to find. Therefore, producers should improve their communication campaigns and distribution networks as key parts of their marketing strategies regarding Fondillón.
AKASHI KAIKYO BRIDGE

The Akashi Kaikyo Bridge (AKB) is a three-span, two-hinged stiffening girder system suspension bridge that spans the Akashi Strait. It is the longest suspension bridge in the world by 581 m, surpassing the Humber Bridge in England, which has a center span of 1,410 m. This article provides an in-depth examination of the design and construction of the AKB. Designers constructed a 1:100 scale model and put it through repeated testing in order to develop a superstructure stable enough to withstand the 80 m/s winds of the strait. Additionally, two types of earthquakes were calculated as factors in designing the bridge: an earthquake of magnitude 8.5 on the Richter scale with an epicenter distance of 150 km and an earthquake occurring with recurrent cycle of 150 years within 300 km of radius of the bridge site. The foundations of the two main towers transfer the approximately 120,000 tons (108,864,000 kg) of downward load from the huge main towers to the supporting ground. While constructing the 282.2-m high main towers, it was important to maintain vertical precision. The first stage of cable installation was the pilot rope spanning, which was done by helicopter. In the final stage before completion, 90,000 tons (81,648,000 kg) of steel was used in constructing the stiffening girders, which are 35 m wide and 14 m high. The girders were assembled into large blocks which were then installed as single units using floating crane ships. To reduce stiffening girder torsional vibration caused by wind, stabilizing plates were installed under the median strip of the deck.
Haptic-rendered practice carillon clavier

The carillon is one of the few musical instruments that elicits sophisticated haptic interaction from experienced and inexperienced players alike. The fact that practice instruments do not reflect the idiosyncratic force-feedback of individual carillons creates distinct problems for both types of player. The light touch, consistent across the range of a typical rehearsal instrument, limits the rate at which inexperienced players can develop physical stamina and musical intuition for the force-feedback and related timing constraints of the real instrument; rehearsal instruments are currently the only way novice players can learn, create, or practise musical arrangements in private. Experienced players, less reticent about rehearsing in public, encounter a variant of the same problem: preparing for concert performance on an unfamiliar instrument with little opportunity to adapt to its idiosyncrasies. The development of an electro-mechanical haptic carillon baton in this thesis is structured to address these issues. A multi-body dynamic model of the carillon mechanism is developed based on measurements and analysis of the mechanism for bell 4 at the National Carillon, Canberra. This model is extended to the rest of the instrument by accounting for variation in physical parameters in clappers across the range of the instrument; a linearisation of this model is also derived and validated. Variation in physical parameters in clappers is demonstrated to correlate strongly with the relationships identified in the existing literature on the design of carillon bells; this further generalises the instrument-wide model for variation in physical parameters, allowing for a priori estimates of clapper dynamics based on an instrument’s range alone. This instrument-wide model is combined with dynamic and static measurements that encapsulate the motion and force-feedback char-
Analyzing the Roles and Competence Demand for Digitalization in the Oil and Gas 4.0 Era

The rapidly moving technological advances have forced key industrial sectors to accelerate their digital transformation processes. Despite the growing interest of organizations on investing in technological advances, the Oil and Gas (O&G) industry is losing ground on the digitalization race. Except from the technological inhibitors, the relatively slow transition is related to human capital and the lack of skillful workforce able to fulfill emerging digital job positions. Additionally, the empirical evidence indicates a knowledge gap regarding the current demand for O&G digital experts and the associated responsibilities and competencies. The objective of this study is two-fold: First, we investigate the status of the O&G labor market digital career opportunities. Second, we shed light on the most prominent digital job roles and the corresponding skillsets, so as to design competence maps with interrelated technological skills. To meet our objectives, we analyzed 1999 job openings from three well-known O&G job boards through a framework augmented with natural language processing and graph theory community detection methodologies. The findings for emerging technology trends constitute an empirical benchmark for a wide range of target groups that are interested in acquiring knowledge related to the state-of-the-art digital demand and the endorsed competencies in the uprising O&G digitalized era.
Aged IRF3-KO Mice are Protected from Sepsis

Purpose Sepsis is a leading cause of hospital admissions and deaths. Older adults (>65 years) are particularly susceptible to sepsis and experience higher morbidity and mortality rates than younger people. We previously showed that interferon regulatory factor 3 (IRF3) contributes to sepsis pathogenesis in young mice subject to cecal ligation and puncture (CLP). In this study, we investigated if IRF3 contributes to sepsis in the context of aging. Methods Sepsis was induced in aged wild-type (WT) and IRF3-knock-out (KO) mice, using a clinically-relevant CLP-sepsis model including fluids and antibiotics. Animal survival, disease score and hypothermia were evaluated as indicators of sepsis pathogenesis. Serum cytokines and serum enzymes indicative of organ damage were also measured. Results Aged WT mice were highly susceptible to sepsis (90% mortality). In comparison, aged IRF3-KO mice were significantly protected (20% mortality). Aged IRF3-KO mice showed a lower disease score and reduced hypothermia following CLP, compared to WT mice. Serum cytokines interleukin (IL)-6, IL-12/23p40 and macrophage chemoattractant protein (MCP)-1, and creatinine kinase (CK) were lower in aged IRF3-KO septic mice compared to WT counterparts. Aged male mice were found to be more susceptible to sepsis compared to females. Female mice, however, produced higher levels of serum cytokines and CK. Conclusion These results demonstrate that IRF3 plays a detrimental role in sepsis in aged mice and highlight the impact of biological sex.
Did the Aid Boom Pacify Sub-Saharan Africa?

The incidence of civil war in Sub-Saharan Africa since the turn of the century is less than half of what it was on average in the last quarter of the 20th century. This paper shows that the aid boom triggered by 9/11 played a key role in achieving purposefully this result using panel data for 46 African countries over four decades. It applies a nearidentification approach to test the aid-conflict tradeoff, taking due account of asymmetric information between the donors and the econometrician. Preference proxies are used in the first-stage to elicit the relevant hidden information.
Optimized fusion technique for diagnostics

Title of Document: OPTIMIZED FUSION TECHNIQUE FOR FAULT DIAGNOSTICS. Surya Kunche, Master of Science, 2013 Directed By: Prof. Michael G. Pecht, Department of Mechanical Engineering Classification algorithms have been widely used to solve data-driven fault diagnostics problems. The number of classification algorithms used has been increasing in recent years. Each classification algorithm has its own strengths and weaknesses, and the accuracy of classifiers changes with the different features used for training. As a result, traditional methods of selecting an appropriate classification algorithm, including domain expertise and trial and error, are becoming complex and difficult to employ. Classifier fusion has been used to solve this problem of selecting an appropriate diagnostic algorithm, and it also improves the generalizability of an algorithm. The performance of a classifier fusion algorithm is governed by the combination rule adopted for fusing multiple classifiers and how the bias and variance are balanced by the combination rule. However, research still needs to determine which combination rule optimally balances the bias and variance during classifier fusion. Therefore, this research develops a fusion methodology that combines the classifiers by balancing the bias and variance. This methodology reduces the number of false negatives and positives, thereby improving the overall accuracy of the algorithm for fault detection. A cost function that considers bias and variance errors was developed to evaluate the performance of the algorithm. Sequential quadratic programming–based optimization was employed to find the optimal combination of classifiers and balance of bias and variance. The developed algorithm was used for fault diagnosis of analog circuits, and the results indicate that the developed fusion approach improved diagnostic accuracy over existing classifier fusion techniques. OPTIMIZED FUSION TECHNIQUE FOR DIAGNOSTICS
MOS Baseline Skills Data Base Handbook

Abstract : The critical tasks in the 94 highest-density MOSs were analyzed to determine the basic skills that are considered necessary to successfully perform them. The results of this analysis are described in a large computerized data base which is installed at the National Institutes of Health's computer facility. The data base is described in this research product, as well as the procedures required to access the data.
Low-Voltage Bulk-Driven Amplifier Design and Its Application in Implantable Biomedical Sensors

iii The powering unit usually represents a significant component of the implantable biomedical sensor system since the integrated circuits (ICs) inside for monitoring different physiological functions consume a great amount of power. One method to reduce the volume of the powering unit is to minimize the power supply voltage of the entire system. On the other hand, with the development of the deep submicron CMOS technologies, the minimum channel length for a single transistor has been scaled down aggressively which facilitates the reduction of the chip area as well. Unfortunately, as an inevitable part of analytic systems, analog circuits such as the potentiostat are not amenable to either low-voltage operations or short channel transistor scheme. To date, several proposed low-voltage design techniques have not been adopted by mainstream analog circuits for reasons such as insufficient transconductance, limited dynamic range, etc. Operational amplifiers (OpAmps) are the most fundamental circuit blocks among all analog circuits. They are also employed extensively inside the implantable biosensor systems. This work first aims to develop a general purpose high performance low-voltage low-power OpAmp. The proposed OpAmp adopts the bulk-driven low-voltage design technique. An innovative low-voltage bulk-driven amplifier with enhanced effective transconductance is developed in an n-well digital CMOS process operating under 1-V power supply. The proposed circuit employs auxiliary bulk-driven input differential pairs to achieve the input transconductance comparable with the traditional gate-driven amplifiers, without consuming a large amount of current. The prototype measurement results show significant improvements in the open loop gain (AO) and the unity-gain bandwidth (UGBW) compared to other works. A 1-V potentiostat circuit for an implantable electrochemical sensor is then proposed by employing this bulk-driven amplifier. To the best of the author’s knowledge, this circuit represents the first reported low-voltage potentiostat system. This 1-V potentiostat possesses high linearity which is
Developing WF Robot Using Adaptive Learning Rate Backpropagation In Webots

A Wall Follower (WF) Robot must have more than 1 sonar ranging sensors. We can not control the robot smoothly with only a switching control. Some researcher tried to implement a Fuzzy Logic as a navigation control. In Fuzzy Logic control, they test the FLC parameters several time to make sure that the model has an optimum navigation control. In this paper, navigation control of WF robot is set to use a Neural Network based on Adaptive Learning Rate Back Propagation. We have developed a learning algorithm using ALRBP. This WF robot was created in Webots simulator environment which has completed all physics conditions. Although it was a robot simulator it provided a real world conditions. We have trained the WF robot without a cylindric shape obstacle. For the running process, we provided 2 conditions, without an obstacle and with some obstacles. The result was a 100% success. WF robot could do 10 laps smoothly with minimum oscillations in Webots field without any obstacle. In the case of WF robot that gets a training without obstacles, we still got good results of 80% success. This concludes that ALRBP can help a WF robot to move smoothly and handle a blank spot of Neural Network training.
Theoretical Comparison of Agrawal's and Rusck's Field-to-Line Coupling Models for Calculation of Lightning-Induced Voltage on An Overhead Wire

The surge voltage induced by an indirect lightning stroke has been one of the most important factors for the insulation design of a power distribution line. Recently, two field-to-line coupling models, namely the Rusck's and the Agrawal's models, have been most fre quently applied in analyzing the induced voltage. Rusck[l] presented a method of the calculation of the induced voltage over perfectly conducting ground assuming the transmission line model as the lightning return stroke model. This model is applied to the calculation of the induced voltage over perfectly conducting ground associated with a vertical return-stroke channel in most of the cases[2,3]. Sakakibara modified the Rusck's model to be applicable to the calculation of the induced voltage over per fectly conducting ground associated with an inclined return-stroke channel[4] by adding a part of the horizontal electric field as inducing sources. The term "Rusck's model" implies Sakakibara's method which was developed from the Rusck's original model. Agrawal et ai. [5] showed another method of calculation, which can be applied to the calculation of the induced voltage also over lossy ground[6] without modification. The Agrawal's model is flexible enough to be applicable to any return stroke model including an inclined return stroke channel[7], and this model apparently satisfies the boundary condition in electromagnetics. The Agrawal's model is theoretically identical[8] to the Taylor's model[9], al though the inducing sources are expressed differently. It was theoretically proved that the induced voltage over pefectly conducting ground calculated through the Agrawal's model is identical to that through the Rusck's model in case of a line of infinite length[l0]. Cooray[11] showed the identity of the induced voltage calculated through the above two coupling models in case of a vertical return-stroke channel in almost the same way as in [10], therefore, it is for the line of infinite length. To the best of our knowledge, no comparison between the voltage calculated through these methods has been made in case of a line of finite length, which might be practically important. In this letter, the voltages calculated through the Rusck's model and the Agrawal's model are compared theoretically in case of a line of finite length over perfectly conducting ground.
Management by vitality : examining the "Active" well-being and performance outcomes of high performance work practices at work unit level

Vital personnel is important for any organization. Employers must not only be satisfied, but pro-active and energetic as well. To obtain this situation, there should be an activating Human Resource Management (HRM) department. Employers should be managed in a way, that they become and stay vital. Organizations should try to reduce (sickness)absences and job-changing or job-rotation, they must stimulate the outcomes of the primair process. Employers must regularely get a chance to express their feelings of job-satisfaction.
Uncovering Mill Point: understanding concepts of space at Australian historic sawmills

In this thesis I use a predictive modelling framework to explore the use of space at nineteenth and early twentieth century Australian sawmills. Sawmills were a key component of early European settlement in heavily forested areas and are often associated with the development of significant infrastructure, such as roads and rail and sea transport networks. Despite their importance and potential for enhancing our understanding of early European communities, few studies have been undertaken on historical sawmills in Australia, particularly in relation to spatial organisation on a comparative level. A dataset of 20 nineteenth and early twentieth century sawmills was analysed and sawmills were found to fall into one of four main types ranging from small scale temporary establishments (Type A) to large, permanent sawmills with multi-faceted settlements and permanent infrastructure and support services (Type D). Analysis also revealed that sawmill features were spatially organised into industrial, intermediate and domestic zones. The model is applied to a case study, the Mill Point sawmill in southeast Queensland and results suggest a general validity of the predictive model and point to directions for further refinement and development. The study has implications for future studies of early industrial enterprises in Australia.
Image fusion network for dual-modal restoration

In recent years multi-modal data processing methods have gained considerable research interest as technological advancements in imaging, computing, and data storage have made the collection of redundant, multi-modal data more commonplace. In this work we present an image restoration method tailored for scenarios where pre-existing, high-quality images from different modalities or contrasts are available in addition to the target image. Our method is based on a novel network architecture which combines the benefits of traditional multi-scale signal representation, such as wavelets, with more recent concepts from data fusion methods. Results from numerical simulations in which T1-weighted MRI images are used to restore noisy and undersampled T2-weighted images demonstrate that the proposed network successfully utilizes information from high-quality reference images to improve the restoration quality of the target image beyond that of existing popular methods.
Diagnosing Social Support and Performance Management: A Case Study of Contextual Ambidexterity in a Manufacturing Company

10 1.0 Introduction and Problem Statement 11 2.0 Literature Review 15 2.1 Contextual Ambidexterity 16 2.2 Social Support 23 2.3 Performance Management 27 2.4 Burnout 31 2.5 Organizational Trust 34 3.0 Conceptual Model 39 4.0 Research Methodology 43 4.1 Case Research 44 4.2 Abduction as the Research Philosophy 49 4.3 The Researcher-Client Agreement 53 4.4 Case Background 53 4.5 Research Process and Results 60 5.0 Findings 77 5.1 Survey Results 78 5.2 Interview Results 83 5.3 Performance Management 89 5.4 Social Support 103 5.5 Moderating Factors 128 5.6 Unit of Analysis 129 6.0 Conclusions 130 6.1 Contributions 131 6.2 Limitations 136 6.3 Implications for Future Research 136 Appendix 141 Works Cited 163 Vita 173
A Conceptual Review of Loneliness in Adults: Qualitative Evidence Synthesis

The paper reports an evidence synthesis of how loneliness is conceptualised in qualitative studies in adults. Using PRISMA guidelines, our review evaluated exposure to or experiences of loneliness by adults (aged 16+) in any setting as outcomes, processes, or both. Our initial review included any qualitative or mixed-methods study, published or unpublished, in English, from 1945 to 2018, if it employed an identified theory or concept for understanding loneliness. The review was updated to include publications up to November 2020. We used a PEEST (Participants, Exposure, Evaluation, Study Design, Theory) inclusion criteria. Data extraction and quality assessment (CASP) were completed and cross-checked by a second reviewer. The Evidence of Reviews of Qualitative Research (CERQual) was used to evaluate confidence in the findings. We undertook a thematic synthesis using inductive methods for peer-reviewed papers. The evidence identified three types of distinct but overlapping conceptualisations of loneliness: social, emotional, and existential. We have high confidence in the evidence conceptualising social loneliness and moderate confidence in the evidence on emotional and existential loneliness. Our findings provide a more nuanced understanding of these diverse conceptualisations to inform more effective decision-making and intervention development to address the negative wellbeing impacts of loneliness.