Miracle-dz/UniFAR-FTUs huggingface dataset:
A Structural Equation Model of General High School Students' Happiness: Mediation Effect of Self-esteem and Resilience

Purpose: This study was conducted to develop a predictive model for happiness of students in general high schools. The study was based on the theory of happiness integration and the literature review. Methods: Data were collected using a convenience sample of 231 first and second grade students in five general high schools in D city and K Province. The exogenous variables were optimism as personality factors, parenting attitude, academic stress and friend’s support as happiness. The endogenous variables were self-esteem and resilience as mediating variables, and happiness of students in general high schools. Data collection was done from March 14 to March 28, 2019. The AMOS 22.0 and SPSS programs were used to verify the validity of confirmatory factor analysis and hypothesis models. Results: The factors that have the greatest influence on happiness of high school students are self-esteem and resilience. The explanatory power of happiness by these variables was 98.1%. The individual mediating effect and double mediation effect of these variables were found to be significant. Conclusion: As student's optimistic personality, parent's positive parenting attitude, and friend’s support improve student's self-esteem and resilience, ultimately positively affecting high school students' happiness, so it is necessary to consider these factors and try to develop a happiness improvement program.
Measuring the acute effects of two aerobic exercise training methods on cortical excitability in people with chronic stroke

Background: Aerobic exercise (AE) upregulates neurotrophins and alters brain excitability post-stroke. Using transcranial magnetic stimulation (TMS) we compared the acute effects of moderate intensity continuous exercise (MICE) versus high intensity interval training (HIIT) on cortical excitability in patients with chronic stroke. Methods: Participants completed 25 min MICE (60 % VO₂ max) and HIIT (80 % VO₂ max / 40 % VO2 max), one week apart, matched for workload. Before and after exercise, subjects underwent neuronavigated TMS (figure of eight coil) followed by testing of pinch, grip strength and dexterity. Results: Short interval intracortical inhibition (SICI) decreased in the less affected hemisphere following MICE (22.03 % (11.14) to 30.5 % (20.63), p = 0.04), while there was no change following HIIT (25.22 % (14.97) to 32.19 % (22.04) (p=0.186). Pinch strength in the affected hand was also significantly lower following MICE. Conclusion: MICE may be superior to HIIT in acutely influencing neural networks of a non-exercised muscle.
Verifying Robust Time-Optimal Commands for Multimode Flexible Spacecraft

2Horowitz, I. , “ImprovedDesign TechniqueforUncertainMultiple-Input, Multiple-OutputFeedback Systems,” International Journal of Control, Vol. 36, No. 6, 1982, pp. 977–988. 3Henderson, D. K. , “Multi-Input, Multi-Output Flight Control Design Using Pseudo-Control, Software Rate Limiters, and Quantitative Feedback Theory,” Ph.D. Dissertation, Dept. of Mechanical and Aeronautical Engineering, Univ. of California, Davis, CA, 1996.
Identifying the barriers affecting quality in maintenance within Libyan manufacturing organisations (public sector)

This research is concerned with understanding a quality management system and its interaction with maintenance management activities within the organisation. The interaction between maintenance and quality, can lead to their integration with production. The second output of production is maintenance, whose output is increased production capacity. Both the production process and the quality of the maintenance work, which, in turn, affects equipment condition, affect the quality of final product. The thesis aims to identify the barriers and difficulties affecting quality in maintenance, within Libyan (public sector) manufacturing organisations. The specific objectives are derived to provide focus for the research activities, in order to fulfil the specific aim of the research in a structured and scientific manner. In order to achieve the thesis objectives, an empirically-based systems analysis of two case study organisations in the Libyan public manufacturing sector was carried out. Substantial field work was carried out using predominantly a qualitative approach. Qualitative data was collected by semi structured interview (from different levels of management and supervisors) to explore the quality management phenomena, and to provide a more holistic understanding through triangulation techniques of required and suitable data. This study has contributed to existing knowledge through getting an in-depth understanding of quality and maintenance issues. A specific definition of "quality in maintenance" was developed, common barriers of quality systems and the key factors of improving maintenance were summarised. Furthermore, by using the framework in figure 2.8 the enablers and inhibitors of quality in maintenance were demonstrated. This study is the first one that identified the unique barriers affecting quality in maintenance within the Libyan manufacturing organisations. These barriers are divided into three main kinds: the technical, economic barriers, managerial, organisational barriers, and cultural environmental barriers. The key findings of the research indicate that the case study organisations do not actively promote quality in the maintenance area that takes into consideration the influence of organisational, social, economic and political factors (change culture) on the quality of operations and performance inside the organisations.
Principal Component Analysis of Eutrophication in the Yangtze River Estuary

The Yangtze River Estuary has become increasingly challenged by various destructive threats to its ecosystem such as the frequent occurrence of harmful algal blooms. Four cruises were carried out in the Yangtze River Estuary and its adjacent area in 2006. Ten variables including CODMn, PO43--P, SiO3-Si, NO3--N, NO2--N, NH4+-N, TN, TP, TOC and chl-a were analyzed by exploratory data analysis. Nitrate was the dominant form of TN throughout the year. Principal component analysis (PCA) was applied to estimate the sources of nutrients contamination in 2006. Two principal components (PCs) were extracted, namely, CODMn, PO43--P, NO3--N and TN for PC1, NO2--N and chl-a for PC2. Influenced by anthropogenic sewage, PC1 near Shidongkou, Bailonggang, Xinhe and Zhuyuan outlets was higher than other stations. The primary influencing factor of PC1 were the contaminants carried by runoff from the Yangtze River. And the dominating factors of eutrophication in 2006 were CODMn, PO43--P, NO3--N, TN and chl-a in the Yangtze River Estuary and its adjacent area.
Phase-steered fixed beams in one and two-dimensional scan space for substrate-integrated radar and radio systems at 60 GHz

In this work, one-dimensional (1D) and 2D scan phased array antennas for 60 GHz radio communication and radar sensing systems are proposed, studied and experimentally validated in the substrate-integrated waveguide technology. A linearly polarised phased array with 1D scanned beams in the first part of this study and a right-hand circularly polarised (CP) array with 2D scanned beams in the second part are presented and discussed in detail. In the demonstrated 1D phased array, dielectric rod antenna is used as radiating elements to form 1 × 4 linear array and then a planar Butler matrix is integrated along with the array to obtain phase-steered beams. In the 2D phased array, CP radiating elements are used to form 2 × 4 array and then a folded Butler matrix is used to feed the CP array. Simulated and measured characteristics of these two phased array antenna radiation parameters are compared. The proposed phased arrays can be integrated into 60 GHz and other millimetre-wave radar and radio systems as an integrated antenna front-end.
Metamorphic pin diodes for high isolating and low power consuming millimetre-wave switching MMICs

Two broadband millimetre-wave switching circuits using In/sub 0.52/Ga/sub 0.48/As pin diodes grown on a GaAs substrate are presented. To the best of the authors knowledge, this is the first time that metamorphic pin diodes have been used for switching MMICs. The performances of the pin diodes are discussed and excellent RF results from a single pole single throw (SPST) and single pole double throw (SPDT) switch are demonstrated.
Regionaltågssatsningars effekt på fastighetsvärden - en studie av Västkustbanan i Skåne

I samband med byggandet av den nya jarnvagsstrackningen mellan Landskrona och Helsingborg byggdes kring ar 2000 flera nya pagatagsstationer bade langs den nya jarnvagsstrackningen men aven langs med den tidigare jarnvagen. Dessa nya stationer som placerades pa orter som tidigare helt saknat tagtrafik ger en mojlighet att jamfora utvecklingen pa dessa orter med utvecklingen pa andra liknande orter. I denna studie anvands forandringar i fastighetspriser for att se om och i vilken utstrackning som den nya tagtrafiken har okat ortens attraktivitet som bostadsort. En av de stora fordelarna med fastighetsprisstudier ar att en prisforandring fangar in vardet av alla forandringar utifran konsumentens synvinkel och vardering. For att skatta tagtrafikens inflytande anvands en difference in difference – modell dar en kontrollgrupp med fastigheter som inte berors av tillganglighetsforbattringen anvands for att kontrollera for den allmanna prisutvecklingen I omradet. Resultaten visar att vi for majoriteten av orterna med ny tagtrafik inte kan se nagon effekt pa fastighetspriserna i perioden efter att tagtrafiken startade. Det ar endast for en ort, Rydeback, som det finns tecken pa att fastighetspriserna i omradet inom 2 km fran stationen har haft en hogre prisokningstakt an kontrollomradet. (Less)
Evaluation of Alternative Aptitude Area (AA) Composites and Job Families for Army Classification

Abstract : Effective January 2002, the Army adopted a set of nine AA composites based on empirically estimated weights for a 7-subtest ASVAB battery. With support from the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI), Zeidner, Johnson, and colleagues developed these composites as part of a proposed two-tiered classification system. This change was motivated by a program of research funded by ARI and conducted by Zeidner, Johnson, and others demonstrating that the proposed system could significantly improve the overall classification and assignment of Army personnel to entry-level jobs. The current study aimed to independently evaluate the efficacy of the proposed AA composites, and corresponding job families, to meet the Army's classification objectives. More specifically, the present study tested the stability and differential validity of the proposed AA composites and accompanying job families, particularly the 17 and 150 relative to the 9 AAs, and their practical effects on classification efficiency as measured by mean predicted performance (MPP). For both scientific and practical reasons, the findings suggest the continued operational use of the 9 (standardized) AA composites and do not support the use of a larger number of composites/job families. These findings have been briefed to the Enlisted Accessions Division, G-1 and, in effect, represent a pull-back of recommendations based on earlier research for increasing the number of composites/job families.
Biology doesn't waste energy: that's really smart

Biology presents us with answers to design problems that we suspect would be very useful if only we could implement them successfully. We use the Russian theory of problem solving - TRIZ - in a novel way to provide a system for analysis and technology transfer. The analysis shows that whereas technology uses energy as the main means of solving technical problems, biology uses information and structure. Biology is also strongly hierarchical. The suggestion is that smart technology in hierarchical structures can help us to design much more efficient technology. TRIZ also suggests that biological design is autonomous and can be defined by the prefix "self-" with any function. This autonomy extends to the control system, so that the sensor is commonly also the actuator, resulting in simpler systems and greater reliability.
Targeted delivery and MRI tracking of magnetically labelled cells

The realisation of the therapeutic potential of cellular therapies will depend on our ability to deliver these cells to selected positions in the body where they can find a suitable micro-environment to flourish. Additionally our scientific understanding would befit from studies which can assess the behaviour of cells at specific locations inside the body. Magnetic cell delivery is a potential technology which might allow realising these premises. The major advantage of magnetic delivery compared to other delivery strategies is the ability to spatially localise entities in the body via externally applied magnetic fields. However, the fast decline of these fields with increasing distances is posing a major challenge for its in vivo application. The aim of this thesis was to investigate potential magnetic delivery approaches which can circumvent some of the typical limitations of this technique. Two different approaches were explored to this end. The first approach was evaluating the feasibility of a magnetic resonance imaging (MRI) system to steer labelled cells in arteries. Such an approach could take advantage of the imaging capabilities of magnetic resonance systems and combine these with steering to interactively guide cells or other entities of interest to a target area. The second approach was addressing the feasibility of theoretical optimisations and the scalability of experimental results. For that, human MRI data was used to derive geometrical models of the blood vessels to which cells were to be delivered in this scenario. Finite element modelling was then used to explore potential magnet arrangements with the aim to maximise the force acting on cells over all target vessels. The best performing arrangement was then used for computational fluid dynamics simulations to test the possibility of cell capture from the flowing blood stream. Finally the possibility to scale-down such an arrangement to the dimensions of an animal model without changing the forces acting on cells was investigated. Cells have to be labelled with magnetic materials in order to allow their magnetic actuation. This magnetic materials cause a distinctive contrast on MRI images. The potential of this imaging modality for cell tracking has been illustrated with an in vivo example for cell tracking in a rat heart and an in vitro example for a tissue engineering application. Experiments with a preclinical MRI system illustrated the feasibility of cell steering with MRI indicating that such an approach could be useful for magnetic cell delivery. Computational models for the evaluation of magnet arrangements allowed the in-silico assessment of their potential and could be used to improve the experimental design of pre-clinical studies.
Criticality analysis revisited

Criticality analysis is applied in risk and reliability studies to rank decisions on system design and operation. There is a wide variety of methods used to meet the requirements of different organizations. Most methods feature an initial assessment of the consequences of failure and its probability of occurrence; however, other factors may also be applied to provide a more robust analysis applicable to each specific situation. As well as assessing system criticality during the design phase, it is also necessary to continue to evaluate system and equipment criticality during operation so that availability can be maximized. Some alternatives to the well-known MILHBK 1629A approach are considered in this paper.
Deep convolutional neural networks for predicting the quality of single protein structural models

Predicting the global quality and local (residual-specific) quality of a single protein structural model is important for protein structure prediction and application. In this work, we developed a deep one-dimensional convolutional neural network (1DCNN) that predicts the absolute local quality of a single protein model as well as two 1DCNNs to predict both local and global quality simultaneously through a novel multi-task learning framework. The networks accept sequential and structural features (i.e. amino acid sequence, agreement of secondary structure and solvent accessibilities, residual disorder properties and Rosetta energies) of a protein model of any size as input to predict its quality, which is different from existing methods using a fixed number of hand-crafted features as input. Our three methods (InteractQA-net, JointQA-net and LocalQA-net) were trained on the structural models of the single-domain protein targets of CASP8, 9, 10 and evaluated on the models of CASP11 and CASP12 targets. The results show that the performance of our deep learning methods is comparable to the state-of-the-art quality assessment methods. Our study also demonstrates that combining local and global quality predictions together improves the global quality prediction accuracy. The source code and executable of our methods are available at: https://github.com/multicom-toolbox/DeepCovQA
Implementing precision agriculture in the 21st century.

Abstract Precision agriculture has generated a very high profile in the agricultural industry over the last decade of the second millennium—but the fact of ‘within-field spatial variability’, has been known for centuries. With the advent of the satellite-based Global Positioning System, farmers gained the potential to take account of spatial variability. The topic has been ‘technology-driven’ and so many of the engineering developments are in place, with understanding of the biological processes on a localized scale lagging behind. Nonetheless, further technology development is required, particularly in the area of sensing and mapping systems to provide spatially related data on crop, soil and environmental factors. Precision agriculture is ‘information-intense’ and could not be realized without the enormous advances in networking and computer processing power. Precision agriculture, as a crop management concept, can meet much of the increasing environmental, economic, market and public pressures on arable agriculture. By the end of the new decade, most arable enterprises will have taken on the concept on a whole-farm basis.
Spatial Augmented Reality for Architecture — Designing and Planning with and within Existing Buildings

At present, more than half of all building activity in the German building sector is undertaken within existing built contexts. The development of a conceptual and technological basis for the digital support of design directly on site, within an existing building context is the focus of the research project “Spatial Augmented Reality for Architecture” (SAR). This paper describes the goals achieved in one aspect of the project: the sampling of colors and materials at a scale of 1:1 using Augmented Reality (AR) technologies. We present initial results from the project; the development of an ad-hoc visualization of interactive data on arbitrary surfaces in real-world indoor environments using a mobile hardware setup. With this, it was possible to project the color and material qualities of a design directly onto almost all surfaces within a geometrically corrected, existing building. Initially, a software prototype “Spatial Augmented Reality for Architecture-Colored Architecture” (SAR-CA) was developed and then assessed based on evaluation results from a user study.
The Impacts of Customer Characteristics on Innovation Resistance in Using Face Recognition Payment Systems: An Empirical Study

With the unfolding of the fourth industrial revolution, the combination of 5G, big data, artificial intelligence, cloud computing and other technologies has become the basis for innovation in many industries. Within the financial operations of various industries, the payment services undergone vast changes after the application of new technology. With the popularity of smart phones, mobile payment has become the main payment method, gradually replacing cash payment and bank card payment. In order to ensure the security of the payment process, users need to enter a password for identity verification, and later for a more secure and convenient identity verification, biometric technology was introduced. In the recent years, with the in-depth integration of various technologies, a more convenient payment method has been produced, that is, the face recognition payment. Face recognition payment is a simple payment method based on the face recognition system. The user does not need cash, bank card and mobile phone when paying, and only needs to perform face recognition through the camera on the POS terminal to complete the payment. The whole process only takes a few seconds. Face recognition payment as a new payment method has attracted much attention. Many offline stores in China have cited this new type of payment. The first case of face recognition technology in China in 2020 has attracted the attention of the society. Although the face recognition market is developing rapidly, the laws and regulations related to it are not perfect. People have doubts about whether the collected facial information can be properly stored, and many people worry that face information can be collected without consent, and whether the personal information and privacy can be guaranteed in the future or not. The high cost is not the only reason that hinders the development of the face
Benefits of a Proactive Office Ergonomics Program

Ergonomics surveys were conducted in a software company with a proactive ergonomics program before and after moving to a new headquarters building in which workstations were equipped with ergonomic products. Sixty-seven workers voluntarily completed surveys of their workstations, workplace environment, work-related health and well-being (job satisfaction, happiness). Post-move results showed that after moving to the ergonomic workstations the prevalence of musculoskeletal discomfort was reduced, overall satisfaction with workstations improved, and employees were happier and more satisfied with their job.
Localization of brain signal sources using blind source separation

Reliable localization of brain signal sources by using convenient, easy, and hazardless data acquisition techniques can potentially play a key role in the understanding, analysis, and tracking of brain activities for determination of physiological, pathological, and functional abnormalities. The sources can be due to normal brain activities, mental disorders, stimulation of the brain, or movement related tasks. The focus of this thesis is therefore the development of novel source localization techniques based upon EEG measurements. Independent component analysis is used in blind separation (BSS) of the EEG sources to yield three different approaches for source localization. In the first method the sources are localized over the scalp pattern using BSS in various subbands, and by investigating the number of components which are likely to be the true sources. In the second method, the sources are separated and their corresponding topographical information is used within a least-squares algorithm to localize the sources within the brain region. The locations of the known sources, such as some normal brain rhythms, are also utilized to help in determining the unknown sources. The final approach is an effective BSS algorithm partially constrained by information related to the known sources. In addition, some investigation have been undertaken to incorporate non-homogeneity of the head layers in terms of the changes in electrical and magnetic characteristics and also with respect to the noise level within the processing methods. Experimental studies with real and synthetic data sets are undertaken using MATLAB and the efficacy of each method discussed.