Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Stochastic Gradient Boosting Approach to Early Prediction of Safety Accidents at Construction Site

The construction industry is one of the deadliest industries in the United States and Korea. The number of accidents at a construction site has been recently increasing despite institutional supports and managerial efforts. A proactive prediction of safety accidents is the best way to prevent them, but a dynamic change in particular conditions of a construction project makes the prediction very tricky and complicated. Moreover, preventive work for any safety accident at a construction site mainly depends on the intuitive and subjective opinions of practitioners with limited experience. The stochastic gradient boosting (SGB) approach may be an attractive alternative to conventional methods for predicting safety accidents because of its superior predictive performance. Therefore, SGB is applied to an early prediction of safety accidents at a construction site in order to examine its applicability to the construction safety domain. The prediction result of the proposed model is compared to an artificial neural network model and a decision tree model. The proposed model shows a slightly better result compared to the ANN and DT models. Moreover, the result of the proposed model also demonstrates the advantages of a simple parameter set in constructing a model and a comprehensible decision-making procedure for safety management.
The impact of user acceptance in the efficacy of digital therapeutics

Ranta, Kristian The impact of user acceptance in the efficacy of digital therapeutics University of Jyväskylä, 2019, 63 pp. Information Systems, Master’s Thesis Supervisors: Tyrväinen Pasi, Silvennoinen Minna, Jorma Kyppö The adoption of digital health solutions in healthcare is growing strongly. This is not surprising since digital health tools and interventions have been shown to improve healthcare processes, cut healthcare expenditure as well as improve access and efficacy of care. Digital therapeutics (a subsegment of digital health) are digital treatment interventions for various illnesses and health conditions which have been shown to increase care efficacy and improve care delivery in many known diseases including diabetes, asthma and depression. They are also mostly void of any side effects in comparison to pharmacological treatments. Digital therapeutic interventions are dependent on smartphones and computers for their administration and are often behavioral interventions by nature. Thus, they present novel and unique challenges from a treatment adherence perspective compared to traditional treatments. This master’s thesis is a study of the impact of user acceptance in the efficacy of digital therapeutic interventions. This thesis consists of a literature review and of an empirical contribution in the form of a case study analysis which is based on a patient dataset from a digital therapeutic intervention for depression. The dataset consisted of 159 patient data records including depressive symptom reduction data based on a clinically validated depression symptom scale (PHQ-9) as well as user acceptance and user engagement related measures. The data was retrospectively analyzed to understand the hypothesized relationship of user acceptance and the efficacy of a digital therapeutic intervention for depression symptom reduction. Correlation among different patient groups and their symptom reduction was analyzed with statistical analyses to observe predictive factors for depression symptom reduction. According to statistical analyses, whether patients self-selected the treatment or were referred to the treatment by a healthcare professional, made a difference in the efficacy of the treatment (PHQ-9: 45.2% reduction vs. 28.8% reduction, CI >95%) and greater amount of active engagement and mindfulness meditation practice during the treatment intervention correlated with depressive symptom reduction (R^2=0.026, R^2=0.04, CI>95%) presenting a dose-response relationship. I conclude that based on the literature review and the case study analysis, user acceptance and user engagement seem to impact the efficacy of digital therapeutic interventions.
The Role of Stakeholders in Corporate Governance: Theoretical Approach

Purpose The aim of this paper is to analyse and evaluate the role of stakeholders in corporate governance from a theoretical perspective. To achieve this goal, the following tasks have been raised: what theories and different approaches emphasize the relationship between stakeholders and the organization (analysis of the theoretical aspects of the stakeholder concept); how stakeholders influence corporate governance decisions (assessment of the external environmental impact on corporate governance); what are the key factors that influence stakeholder action (stakeholders’ role in an organization decision-making process). Methodology – The theoretical methods (comparative, analytical and systemic). Findings – Stakeholders have a significant and extensive influence on the corporate governance. Scientific research shows that the role of stakeholders in corporate governance can be negative (e.g. extra disturbances) or positive (e.g. increasing competition). While engaged in decision-making processes organizations need to give power to stakeholders, i.e. the power of influence. This would enable stakeholders to help to achieve sustainable governance of the organization. Stakeholders generally attempt to achieve integrity, transparency, respect, environmental standards and implementation of accounting. They also require a positive resource policy, the involvement and participation of organizations in addressing important social issues such as reduction of social exclusion, community renewal, education and cultural issues, promotion of employee volunteering activities. Research implications – The list of sources used for comparative analysis is not exhaustive. Originality – The role of stakeholders in the organization decision-making process is constantly raising scientific debate. The solutions of the changing corporate governance environment must satisfy the needs of management practice. The significance of stakeholders’ role in the organization is taken very seriously by scientists (Gil-Lafuente, Paula, 2013). The scientific analysis that has been carried out will help to better understand the role of stakeholders in the corporate governance and the factors that determine the relationship between stakeholders and the organization.
Polymorph evolution during crystal growth studied by 3D electron diffraction

3D electron diffraction has been used to follow polymorph evolution during the crystallization of glycine from pure water. All three known polymorphs formed sequentially in samples taken from the same solution and allowed to crystallize in situ at times between 3 and 60 min. Crystal structures were obtained for all three phases.
Economic growth and the social cost of carbon: additive versus multiplicative damages

In a calibrated integrated assessment model of Ramsey growth and climate change in the global economy we investigate the differential impact of additive and multiplicative global warming damages for both a socially optimal and business-as-usual scenario. Fossil fuel is available at a cost which rises as reserves diminish and a carbon-free backstop is supplied at decreasing cost. If damages are not proportional to aggregate production and the economy is along a development path, the optimal carbon tax is smaller. The economy switches later from fossil fuel to the carbon-free backstop and leaves less fossil fuel in situ. By adjusting climate policy in this way there is very little difference on the paths for global consumption, output and capital, and thus very little difference for social welfare despite the higher temperatures. For all specifications the optimal carbon tax is not a fixed proportion of world GDP but must follow a hump shape.
The Effect of Rewards, Personal Costs, and The Whistleblowing System Toward Individual Intentions to Report Unethical Behaviors of Superiors

This study aims to analyze the influence of reward, personal cost, and the Whistleblowing System on individual intentions to report unethical behaviors of superiors. The subjects in this study were undergraduate students of the department of accounting at Universitas Muhammadiyah Yogyakarta. Samples of 133 respondents were selected using purposive sampling. Analysis tool used in this study was the Analysis of Variance (ANOVA). Based on the analysis, the reward does not significantly influence individual intentions to report unethical behavior of superiors, while personal cost has significantly a negative effect on individual intentions to report unethical behavior of superiors, and whistleblowing system significantly influences individual intentions to report unethical behavior of superiors.
Reliable host plant recognition in insects

Insects perceive their world to a large extent through olfaction. Volatile organic compounds released by the biota is therefore of utmost importance for host plant identification and selection in phytophagous insects. Plants release species-specific bouquets of volatile organic compounds which insects use as cues to guide behaviour in several life stages. For reliable localization of suitable host plants, insects need to be able to generalize and discriminate between these important cues. Several theories on the information of the odour bouquet that is used for reliable plant identification have been postulated during the last decades. Empirical studies have shown that plant identification in many species depend on ubiquitous volatile compounds, but that there are examples that insects use speciesspecific compounds or a combination of the two types of compounds. The response to plant cues can also show phenotypic plasticity and change depending on environmental conditions. For example, previous experience of particular host plants has been shown to affect the behaviour of insects through within-generation phenotypic plasticity. It is also possible that information from earlier experience could be transferred vertically from one generation to the other through transgenerational phenotypic plasticity. This review gives an overview of host plant identification in insects. First, a brief overview of plant organic compounds and olfaction is made. Then the focus shifts to how volatile plant organic compounds are perceived by the olfactory system of insects and how they affect generalization and discrimination processes during host plant selection. Lastly, I discuss how plasticity, both within and across generations, can affect the behavioural outcome.
7th International Building Physics Conference IBPC 2018 Proceedings: Healthy, Intelligent and Resilient Buildings and Urban Environments

Due to hot arid climate in Jeddah, Saudi Arabia, occupants rely on air conditioning (AC) to provide both ventilation requirements and thermal comfort. It is believed that this total reliance on AC have also a significant effect on thermal sensation as well as cognitive performance of building occupants. Using a multi-variable multilevel statistical analysis, the effects of classroom temperature and CO2 levels on cognitive performance were estimated. Eight neurobehavioral cognitive tests were used to evaluate cognitive performance of 499 female students (16-20 years old). In addition, thermal sensation votes were collected. All participants were exposed to nine different environmental conditions, a combination of three temperature levels 20°C, 23°C and 25°C, and three CO2 levels: 600 ppm, 1000 ppm and 1800 ppm. The baseline condition levels were set at 20°C and 600 ppm. In this paper the interrelationships between the thermal sensation votes and effects of classroom temperature and CO2 levels on vigilance (Simple Reaction Test, SRT) and memory tasks (Reversal Learning, RL) are presented. The results suggested that the ‘cold’ thermal sensations have been linked to significant increase in ‘percentage of errors’ for both memory and vigilance tasks. Also, the exposure to higher CO2 levels of 1800 ppm and 1000 ppm have led to a significant increase in the ‘percentage of errors’ for both cognitive performance tasks compared to the baseline conditions. The study has also confirmed that the significant influence of acclimatization should not be overlooked when setting up the environmental design criteria for buildings in hot arid climates.
The Educator and the Quest for Higher Quality

Tampereen ammattikorkeakoulu Tampere University of Applied Sciences Master’s Degree in Business Administration Educational Leadership ODDLAUG MARIE LINDGAARD: The Educator and the Quest for Higher Quality Master’s thesis 73 pages, appendices 0 pages December 2019 BACKGROUND. Since the quest for quality in higher education began, the Norwegian government has introduced and implemented several white papers to the Norwegian parliament, the Storting. These papers aim to enhance the higher education sector through building strong research communities and raising the quality of the teaching provided to students in order to fulfil the need for an educated and skilled supply of labour. PURPOSE. This study’s objective is to create an essential document to help Nord University and Centre for Learning and Technology to plan for and facilitate educators to develop their teaching and/or meet the requirements of the white paper “Culture for Quality in Higher Education” St. Meld. 16 (2016-2017) after listening to the voice of the educator. METHODOLOGY. The research data were collected from narrative stories written by seven informants who are all educators at Nord University. They were asked to write an informal text about how it is to be an educator in higher education. The written material was then used in a narrative thematic analysis. RESULTS. The informants of this study differ from the assumed image of educators in higher education, as they seem to be ardent teachers who enjoy teaching, like being a teacher and use student-centred teaching. They report that they find themselves experiencing cross-pressure between what they want to do regarding teaching and what is expected of them from faculty/institutions and the effects of structural reforms implemented in the name of higher quality. CONCLUSION. In order to facilitate higher-quality teaching, we need to make use of the resources available and hence need to use educators that are passionate and up-to-date to educate and help their peers by creating incentives that succeed. We also need to allocate time to perform development work, which requires examining the use of digitalisation and the shift of work from non-academic to academic staff and the effects of significant structural changes.
Internalization mechanisms of cell-penetrating peptides

In today’s modern era of medicine, macromolecular compounds such as proteins, peptides and nucleic acids are dethroning small molecules as leading therapeutics. Given their immense potential, they are highly sought after. However, their application is limited mostly due to their poor in vivo stability, limited cellular uptake and insufficient target specificity. Cell-penetrating peptides (CPPs) represent a major breakthrough for the transport of macromolecules. They have been shown to successfully deliver proteins, peptides, siRNAs and pDNA in different cell types. In general, CPPs are basic peptides with a positive charge at physiological pH. They are able to translocate membranes and gain entry to the cell interior. Nevertheless, the mechanism they use to enter cells still remains an unsolved piece of the puzzle. Endocytosis and direct penetration have been suggested as the two major mechanisms used for internalization, however, it is not all black and white in the nanoworld. Studies have shown that several CPPs are able to induce and shift between different uptake mechanisms depending on their concentration, cargo or the cell line used. This review will focus on the major internalization pathways CPPs exploit, their characteristics and regulation, as well as some of the factors that influence the cellular uptake mechanism.
The female jihadists of Europe

I Acknowledgements . II Chapter 1: Introduction . 1 1.1 Research question . 4 1.2 Objective of thesis . 5 Chapter 2: Background and Literature Review . 6 2.1 Definition of terrorism . 6 2.2 Jihad and jihadism . 7 2.3 Women in jihad . 8 2.4 Female jihadists in Europe . 9 2.5 Literature review . 11 2.5.1 Gendering terrorism . 11 2.5.2 Female terrorism . 14 2.5.3 Female jihadism . 15 2.6 Concluding remarks . 17 Chapter 3: Theoretical Framework . 18 3.1 Constructivism and terrorism . 18 3.2 Nesser’s typology of jihadist terrorists in Europe . 21 3.3 Concluding remarks . 23 Chapter 4: Research Methodology . 24 4.1 Qualitative research approach . 24 4.2 Research design . 25 4.3 Multiple case study design . 25 4.4 Data collection methods . 26 4.5 Expert interview . 27 4.6 Typology of female jihadists in Europe . 28 4.7 Analysis of qualitative data material . 29 4.8 Quality criteria . 30 4.9 Limitations of the data collection . 31 Chapter 5: Analysis of Case Study . 32 5.1 Genesis of al-Qaeda . 32 5.2 Female jihadism . 34 5.3 Representative cases . 36 5.3.1 Malika El Aroud . 36 5.3.2 The Entrepreneur . 39
Detecting Outliers in SDSS using Convolutional Neural Network

We propose an automated algorithm based on Convolutional Neural Network (CNN) for the detection of peculiar objects in large databases using their spectral observations. A convolutional neural network is a class of deep-learning algorithms which allows the detection of significant features/patterns in sequential data like images, audio, time-series etc. by applying convolutional neurons (kernels) along the sequence. For detecting unusual spectra, we use eight-layer deep convolutional network with autoencoder architecture on ~ 60,000 spectra collected from the Sloan Digital Sky Survey. The training of the network is done in an unsupervised manner. We show that the trained network is able to retrieve the spectra of rare objects from a large collection of spectra. Such algorithms can easily be rescaled to other surveys and therefore can serve as a potential component of the data reduction pipelines for automatically detecting spectra with unusual features and recovering defective spectra.
Can mind wandering improve retrospective revaluation insequential decision making

Humans spend a lot of time thinking about things that are not going on around them. This process is called mind wandering and previous work shows that these events can be regarded as a distraction from a task at hand, interfering with your concentration, while other research shows positive impact on future goals in less demanding cognitive tasks. In our project we have researched the influence of mind wandering on sequential decision making. It is shown that retrospective revaluation takes place during unrelated tasks between sequential decision making tasks, and we intend to show that the revaluation is actually credited to the cognitive process of mind wandering and has a beneficial effect on future goals. From the experiment we did not find enough evidence to conclude that there is a relation between mind wandering and retrospective revaluation.
Factors Related to Job Satisfaction among Nurses in General Hospitals, Yangon, The Republic of the Union of Myanmar ปัจจัยที่เกี่ยวข้องกับความพึงพอใจในงานของพยาบาลในโรงพยาบาลทั่วไป

Job satisfaction among nurses is an essential component for improving organizational performance as well as reducing the nursing shortage. This descriptive correlational study aimed to examine the level of perceived organizational support, role stress and job satisfaction, and to examine the relationship between job satisfaction and related factors such as perceived organizational support and role stress among nurses in general hospitals in Yangon in the Republic of the Union of Myanmar. The sample included 302 nurses working in four general hospitals in Yangon. Research instruments used in this study were a demographic data form, a Survey of Perceived Organizational Support (SPOS), a role conflict and role ambiguity questionnaire, and a Measure of Job Satisfaction questionnaire (MJS). The reliabilities of SPOS, role conflict, role ambiguity, and MJS were 0.87, 0.74, 0.75, and 0.94, respectively. Data were analyzed using descriptive statistics and Spearman’s rank-order correlation coefficient. The results of study 1. Perceived organizational support among nurses was at a moderate level. 2. Role conflict among nurses was at a moderate level, whereas role ambiguity was at a low level. 3. Job satisfaction among nurses was at a moderate level. 4. There was a moderate positive relationship between perceived organizational support and job satisfaction.
Attributes Affecting Students’ Ability in Thinking Skills

The Ministry of Education has reemphasized the implementation of higher order thinking skills (HOTS) in science and mathematics curriculum in 2014. In relation to this, a research was carried out to analyse students’ ability in thinking skills (ATS), and to construct a model that estimates their ATS. The study involved 300 students of engineering and science foundation programme from a university. A Scientific Reasoning Test was used as instrument. Binary logistic regression is used to categorize the students’ level of thinking skills. Results show that 51.7% of students are categorized as having higher order thinking skills (HOTS) and 48.3% having lower order thinking skill (LOTS). More male students at HOTS level (57.1%) compared to LOTS (42.9%), while more female students at LOTS level (52.7%) compared to HOTS (47.3%). Higher percentage of boarding school students (55.4%) at HOTS level compared to daily school students. There is a significant correlation between ATS with students’ performance in mathematics course in foundation programme (MAT093) and performance in mathematics subject in SPM (MAT). A binary logistic model was constructed to estimate students’ ATS. The findings implicate that teaching method through inquiry and mind-mapping in i-Think process which has been implemented in schools since 2015 seems to give an impact in enhancing and developing students’ thinking skills.
Metformin Reduces Lipotoxicity-Induced Meta-Inflammation in β-Cells through the Activation of GPR40-PLC-IP3 Pathway

Background and Purpose Metformin, a widely used antidiabetic drug, has been shown to have anti-inflammatory properties; nevertheless, its influence on β-cell meta-inflammation remains unclear. The following study investigated the effects of metformin on meta-inflammatory in β-cells and whether the underlying mechanisms were associated with the G protein-coupled receptor 40-phospholipase C-inositol 1, 4, 5-trisphosphate (GPR40-PLC-IP3) pathway. Materials and Methods Lipotoxicity-induced β-cells and the high-fat diet-induced obese rat model were used in the study. Results Metformin-reduced lipotoxicity-induced β-cell meta-inflammatory injury was associated with the expression of GPR40. GPR40 was involved in metformin reversing metabolic inflammation key marker TLR4 activation-mediated β-cell injury. Furthermore, downstream signaling protein PLC-IP3 of GPR40 was involved in the protective effect of metformin on meta-inflammation, and the above process of metformin was partially regulated by AMPK activity. In addition, the anti-inflammatory effects of metformin were observed in obese rats. Conclusion Metformin can reduce lipotoxicity-induced meta-inflammation in β-cells through the regulation of the GPR40-PLC-IP3 pathway and partially via the regulation of AMPK activity.