Miracle-dz/UniFAR-FTUs huggingface dataset:
Task-based Evaluation of Sentiment Visualization Techniques

: Sentiment visualization is concerned with visual representation of sentiments, emotions, opinions, and stances typically detected in textual data, for example, charts or diagrams representing negative and positive opinions in online customer reviews or Twitter discussions. Such approaches have been applied for the purposes of academic research and practical applications in the past years. But the question of usability of these various techniques still remains generally unsolved, as the existing research typically addresses individual design alternatives for a particular technique implementation only. This work focuses on evaluation of the effectiveness and efﬁciency of common visual representations for low-level visualization tasks in the context of sentiment visualization. More speciﬁcally, we describe a task-based within-subject user study for various tasks, carried out as an online survey and taking the task completion time and error rate into account for most questions. The study involved 50 participants, and we present and discuss their responses and free-form comments. The results provide evidence of strengths and weaknesses of particular representations and visual variables with respect to different tasks, as well as speciﬁc user preferences, in the context of sentiment visualization.
Individual Differences in Human-Robot Interaction in a Military Multitasking Environment

A military vehicle crew station environment was simulated and a series of three experiments was conducted to examine the workload and performance of the combined position of the gunner and robotics operator in a multitasking environment. The study also evaluated whether aided target recognition (AiTR) capabilities (delivered through tactile and/or visual cuing) for the gunnery task might benefit the concurrent robotics and communication tasks and how the concurrent task performance might be affected when the AiTR was unreliable (i.e., false alarm prone or miss prone). Participants’ spatial ability was consistently found to be a reliable predictor of their targeting task performance as well as their modality preference for the AiTR display. Participants’ attentional control was found to significantly affect the way they interacted with unreliable automated systems.
ANALISIS PENCATATAN DAN PELAPORAN KEUANGAN UMKM

This study aims to describe the financial recording and reporting system of micro, small and medium enterprises (MSMEs). This population is 19,197 MSMEs and the research sample is 27 MSMEs in Palu City. Data were obtained through questionnaires and interviews with MSMEs. The data analysis technique used analysis descriptive. The results showed that the majority of MSMEs included in the micro-enterprise group had not recorded and reported financial statements. However, most of the small and medium-sized MSMEs have carried out financial recording and reporting both manually and computerized. Furthermore, most MSMEs have never attended financial management training, particularly financial recording and reporting. Therefore, MSMEs want training and assistance in financial recording and reporting by the government or other institutions. This information is important for the local government and related agencies in the context of counseling and mentoring business management in the future.
Plant‐wide hierarchical optimization based on a minimum consumption model

Plant-wide optimization for a complex process consisting of multiple unit processes is an effective method to achieve production with high efficiency and low consumption. However, due to the complexities of the plant-wide optimization problem such as high dimensionality, numerous constraints, and other factors, plant-wide optimization for a complex process is always a challenging problem in research. Therefore, this paper presents a plant-wide hierarchical optimization method based on a minimum consumption model which can solve the feasibility and optimality of the obtained technical indices. The plant-wide optimization problem is converted into a two-level optimization problem, including the procedure-level optimization and the process-level optimization. The presented method can simplify the original plant-wide problem and effectively reduce the computational complexity. Moreover, the hierarchical decision-making is achieved simultaneously and the efficiency of solving the optimization problem and the global convergence is improved. Finally, the presented plant-wide hierarchical optimization method is applied to the hydrometallurgy process of a gold smelter. The results verify the effectiveness of this method.
Touch in Disaster Reporting: Television Coverage before Hurricane Maria

ABSTRACT This study examines the use of interpersonal touch by television reporters in their interactions with sources — mainly residents and government officials — before Hurricane Maria made landfall in Puerto Rico. We used a qualitative approach, which allowed four functions to emerge inductively but aligned with concepts from haptics and journalistic roles research. The functions — engagement and participation, empathy and caring, easing tension, and collective empowerment are described in relation to the literature on touch across cultures. Implications for the emotional turn in journalism are discussed.
The effects of MALL training on preservice and in-service EFL teachers’ perceptions and use of mobile technology

Abstract Owing to the anytime-anywhere-anyhow nature of mobile learning, together with the ubiquity of affordably priced mobile phones, learning has become a mobigital practice, as termed by Şad and Göktaş (2014). Consequently, language teaching/learning is gradually shifting from computer-assisted language learning to mobile-assisted language learning (MALL). In response, the current study examined the impact of MALL training on preservice and in-service EFL teachers’ perceptions and use of mobile technology (MT). For this purpose, two groups of preservice (N = 33) and in-service (N = 31) EFL teachers were randomly selected and exposed to MALL training. The pretest-posttest experimental mixed-methods design was used as a framework for collecting and analyzing both quantitative and qualitative data (using closed- and open-ended-question surveys). Quantitative results revealed that both preservice and in-service teachers had similar perceptions of MT before and after training. The only exception is that, after training, in-service teachers were more interested in MT than preservice teachers. However, both groups demonstrated an overall (and subfactor) improvement in their perceptions after MT training, except for their perceived ease of use. In-service teachers’ use also improved after training and, due to the yielded positive correlation, their perceptions were a significant predictor of use. Qualitative findings showed that in-service teachers used MT more in listening and speaking (for synchronous communication) than in reading and writing, selecting social media and translation apps as the least useful ones. Moreover, they regarded technical and digital literacy problems as the ones most challenging to the use of MT.
Enhancement of vehicle crash and occupant safety : a new integrated vehicle dynamics control systems/front-end structure mathematical model

Nowadays, occupant safety becomes one of the most important research area and the automotive industry increased their efforts for enhancing the safety of the vehicles. The aim of this research is to investigate the effect of vehicle dynamics control systems (VDCS) on both the collision of the vehicle body and the kinematics behaviour of the vehicle’s occupant. In this work, a novel vehicle dynamics/crash mathematical model is proposed and developed to co-simulate the crash event with the VDCS. This model is achieved using the novel approach of integrating front-end structure and vehicle dynamics mathematical models. The proposed mathematical model integrates both anti-lock braking systems (ABS) and active suspension control (ASC) systems alongside with crash structure modelling. This model is developed by generating its equations of motion and solving them numerically, this approach is used due to its quick and accurate analysis. In addition, a new multi-body occupant mathematical model is developed to capture the occupant kinematics before and during the collision. Validations of the proposed mathematical models are achieved to ensure their accuracy by comparing the simulated results with other real crash test data and former models results. The validation analysis of the vehicle and occupant models shows that the comparison results are well matched and the models are valid and can be used for different crash scenarios. The numerical simulation results are divided into two parts for vehicle and occupant models, respectively. Related to the vehicle model, it is shown that the mathematical model is flexible and useful for optimization studies. The results show that the deformation of the front-end structure is reduced, the vehicle body pitching and yawing angles are notably reduced, and the vehicle pitching acceleration is greatly reduced. Related to the occupant model, it is shown that the VDCS does have a significant effect on the rotations of the occupant's chest and head owing to its effect on the vehicle pitching. In addition, the occupant's deceleration is also slightly decreased and the occupant safety is improved.
Adapting to Constraints - A Study of Green Star New Zealand's Effects on Decision Making using Classic Grounded Theory

Over the last 25 years building rating systems have been developed to quantify and promote sustainable development in the construction industry. Many countries have now developed their own rating system and some systems have been adapted for international use. The different outcomes and results from their use have been under much scrutiny from developers, clients, industry, and academics. Concerns such as increased cost, points buying, and discrepancies between the rated design and completed projects have been identified. In order to better understand why these concerns occur, the Green Star New Zealand rating system – adapted from Green Star Australia – was studied to quantify its effects on rated projects. The overall aim of this thesis was to investigate the effects of Green Star New Zealand on the decision making process. Specifically, the way in which this system affects the decision making processes during the design of a rated building was investigated to provide insight into reasons why these different outcomes may occur. This was undertaken through a classic grounded theory study during which professionals experienced in the use of Green Star were interviewed, and the data collected from the interviews was inductively analysed to generate conceptual theory and concepts. The interview data and discussion with the participants identified that decision making is affected largely through the different constraints and conditions encountered when using Green Star and how they are adapted to. These are applied to decision making through a number of different ways, being directly or indirectly related to Green Star, something decided on with or without prior experience, or internal or external to the design team. The analysis identified several categories which explained processes and behaviours resulting from the use of Green Star. These are ‘managing Green Star requirements’, ‘credit targeting’, ‘working with unknowns’, ‘disconnection of knowledge’, and ‘balancing project requirements’. It is these categories that caused adaptation to emerge as the primary process of resolving constraints, with ‘adapting to constraints’ emerging as the core variable.
Determinants of Student Activism in State Universities in Sri Lanka

Producing high-quality human resources is one of the main aims of the state university system in Sri Lanka. However, the smooth functioning of the state university system is sometimes interrupted by student activism. Even though the purpose of activism is reasonable on students’ hands, it creates a huge social and economic cost in practice. Various measures have been taken to reduce the negative impact of activism; however, those measures appear to be less effective as the trend has been continued over the period. Hence, the purpose of this study was to identify the determinants of student activism. A questionnaire survey method was used to collect data and a quantitative approach was used in the study under the deductive reasoning method. The results revealed that a higher level of social networking, lower level of social commitments, and left-wing political ideologies stimulate students towards activism. The high level of social networking is the most influential determinant among others. The findings revealed that the factors like administrative failures, the social status of parents, and university subculture were not significantly influenced on activism in the Sri Lankan context. The findings of the study will be useful for administrators in making future policy decisions regarding student activism.
Absence of bones in archaeological sites from the southeast of Uruguay: Taphonomy or human behavior?

The rework of daily refuse, including large quantities of faunal remains, is a common explanation for earthen mound construction in the Uruguayan lowlands, which started about 5000 years ago. While some earthen mounds contain human and animal bones in high abundance, several others contain only a few fragments. Thousands of years later (17th to 18th centuries), stone structures known as cairns were used in the same region and are believed to have served as the burial ground for local chiefs. However, no bone remains were ever found during excavations. The acidity of local soils has been the common explanation for the low frequency and/or complete absence of bone remains in earthen mounds and cairns. To investigate the absence of bones possibly induced by a corrosive environment, we applied Fourier transform infrared spectroscopy (FTIR), X‐ray powder diffraction (XRPD), and micromorphology to study the sediments at three sites: (1) an earthen mound rich in macroscopic bone fragments (CH2D01 site—CH); (2) an earthen mound with only a few macroscopic bone fragments (Las Palmas—LP); and (3) sediments from beneath a cairn with no macroscopic bone remains (Mario Chafalote cairn—MC). FTIR and XRPD showed the existence of burnt bones at the CH mound and a complete absence of bone mineral at LP and MC. Micromorphology revealed that, though invisible in the FTIR spectra, the LP mound contains micro‐bone fragments, but in extremely low frequency. Analyses indicate that taphonomy did not play a major role in the low frequency or absence of bones at the LP and MC sites, located in a similar environmental context, and that differences in site use and mound technology explain the contrasting composition of the CH mound.
Hydroxyl Radical Induced Ultra-Weak Photon Emission from Tyrosine Solutions

The emission of light, originated from chemical processes in organisms is an externally detectable manifestation of the metabolic activity of living cells. One of the most commonly used terms for this kind of light emission is ultra-weak photon emission (UPE). Due to its non-invasive, low-operation-cost and label-free application, it can be used in many fields of biomedicine, such as dermatology, neuroscience or oncology [1]. Ultra-weak photon emission originates during relaxation of electronically excited species, which are generated chemically by oxidative reactions of reactive oxygen species (ROS) with biomolecules. The formation of ROS is caused by physical, chemical and biological stimuli [2]. ROS can be distinguished in two main groups – radical ROS and non-radical ROS. Molecules of radical ROS have one or more unpaired electrons, and therefore they are highly reactive. Non-radical ROS have no unpaired electron, but they still exhibit rather high reactivity. ROS oxidize biomolecules and these reactions can further lead to the formation of intermediate chemical species which decay to form electronically excited species. The transition of these species to the ground state is accompanied by the photon emission in near UVA (350 400 nm), visible (400 750 nm) and near IR (750 1300 nm) regions of the electromagnetic spectrum [1]. ROS have an important role in biochemical reactions in living cells. They have a great significance in intracellular signaling [3] and intercellular communication [4]. On the other hand, there is also an extensive evidence for harmful effects of excessive ROS levels in organisms [5]. It is known that reactions of radical species can be affected by magnetic field. There are many scientific works dealing with magnetic field effects on free radical reactions and radical pair mechanism [6 11]. Besides these works, numerous experimental works have shown that magnetic field can affect metabolic processes of cells [12 14]. Therefore it could be beneficial to find a connection between the mechanism of magnetic field effects on radical reactions and the evaluation of its influence on cell metabolism by the UPE detection. UPE can be considered as a product of biochemical processes in living organisms, which involves oxidation of bio-molecules [15]. The subject matter of this paper is focused on ultra-weak photon emission derived from oxidation of amino-acid tyrosine mediated by hydroxyl radical. Tyrosine is aromatic nonessential amino-acid formed in organism from phenylalanine. Tyrosine is a building block for several important neurotransmitters, such as epinephrine or dopamine. It also underlies production of melanin, the pigment responsible for hair and skin color [16]. In this paper, it is shown that chemically produced hydroxyl radical is responsible for oxidation of tyrosine; and there are presented HYDROXYL RADICAL INDUCED ULTRA-WEAK PHOTON EMISSION FROM TYROSINE SOLUTIONS Martin Bereta Michal Cifra Katerina Cervinkova Ladislav Janousek Jan Barabas *
Has the COVID-19 Pandemic Affected the Prevalence of Diabetic Ketoacidosis in Polish Children with Newly Diagnosed Type 1 Diabetes? An Example of the Largest Polish Pediatric Diabetes Center (Upper Silesia—Katowice, Poland)

Purpose: The aim of this study was to analyze the prevalence of diabetic ketoacidosis (DKA) in children with newly disclosed type 1 diabetes (T1D) during the COVID-19 pandemic in 2020 compared to 2019. Methods: A retrospective analysis of the history database of all hospitalized children in our department. The International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines were used for the diagnosis of DKA. Results: The database of children with newly disclosed T1D included 196 patients (89 girls and 107 boys) from 2019, and 223 patients (113 girls and 110 boys) from 2020 (a total of 419 patients—202 girls and 217 boys) aged 0 to 18 years. A significantly higher percentage of DKA was observed in 2020 compared to the previous year (47.53% vs. 35.2% [p = 0.005]). The percentage of severe DKA increased in 2020 compared to 2019 (18.39% vs. 14.07% [p = 0.118]). Compared to 2019, the average HbA1c level was higher in 2020 (12.57 ± 2.75% vs. 11.95 ± 2.89% [p < 0.025]), and the average pH level (7.26 vs. 7.31 [p = 0.002], and average HCO3 level (16.40 vs. 18.66 [p = 0.001]) were lower, respectively. Conclusions: During the COVID-19 (2020) pandemic, the incidence of DKA increased in Polish children with newly diagnosed T1D. The conclusions from the analysis of the functioning of health systems during the pandemic should be used in the future to prevent, in similar periods, an increase in severe complications of delayed diagnosis of T1D.
Different Heat Processing Methods on Flour Yield, Nutritional Composition and Acceptability of Jack Seed Flour-based Low-fat Functional Breadsticks

Jackfruit (Artocarpus heterophyllus Lam.) is a popular tropical large fruit of the Moraceae family. The ripe bulbs are sweet delicious to eat besides a variety of preparations. The seeds are discarded as waste. The study was conducted with different heat processing methods like blanching (BL), roasting (RO) and pressure-cooking (PC) to know the flour yield on dry-milling, nutritional composition and its acceptable level. On milling maximum flour recovery of 93.30% (PC), 98.76% (RO) and 96% (BL) were observed. Among the minerals estimated (ICPMS) the potassium content of 9245.90 mg/kg, 7382.24mg/kg, 8232.31mg/kg in BL, RO and PC seed flours were reported. Magnesium content of 942.84 mg/kg, 775.32 mg/kg and 886.14mg/kg observed in BL, RO and PC flours, the highest sodium content of 243.69 mg/kg in PC, followed by 193.23 mg/kg and 46.44 mg/kg in RO and BL samples. Calcium content of 82.01 mg/kg, 60.48 mg/kg, 83.33 mg/kg was observed in BL, RO, PC flour samples were noticed. Iron (43.36 mg/100g BL, 20.10 mg/kg RO, 16.20 mg/kg PC), Aluminium (31.36 mg/kg BL, 16.69 mg/kg RO, 5.50 PC). Zinc (12.46 mg/kg BL, 10.18 mg/kg RO, 16.48 mg/kg PC), Manganese (4.80 mg/kg BL, 2.61 mg/kg RO, 3.81 mg/kg PC), Boron (6.25 mg/kg BL, 2.29 mg/kg RO, 3.46 mg/kg PC), Barium (2.37 mg/kg BL, 1.12 mg/kg RO, 1.88 mg/kg PC), Copper (4.86 mg/kg BL, 2.78mg/kg RO, 3.52mg/kg PC) etc., other elements in traces. The findings suggest that a maximum of 50% PC Jack seed flour was found accepted in the production of functional breadsticks having protein 9.78g/100g, carbohydrates 75.55g/100g and energy 405 K.cal/100g or as a functional food ingredient in different food products.
Association Between Neuroticism and Risk of Lung Cancer: Results From Observational and Mendelian Randomization Analyses

Background It remains undetermined whether neuroticism affects the risk of lung cancer. Therefore, we performed complementary observational and Mendelian randomization (MR) analyses to investigate the association between neuroticism and lung cancer risk. Methods We included 364,451 UK Biobank participants free of cancer at baseline. Neuroticism was ascertained using the 12-item of Eysenck Personality Inventory Neuroticism Scale. Multivariable Cox regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Two-sample MR analysis was carried out with summary genetic data from UK Biobank (374,323 individuals) and International Lung Cancer Consortium (29,266 lung cancer cases and 56,450 controls). Furthermore, we calculated a polygenic risk score of lung cancer, and examined the joint-effect and interaction between neuroticism and genetic susceptibility on lung cancer risk. Results During a median follow-up of 7.13 years, 1573 lung cancer cases were documented. After adjusting for smoking and other confounders, higher neuroticism was associated with an increased risk of lung cancer (HR per 1 SD=1.07, 95% CI: 1.02-1.12). Consistently, MR analysis suggested a causal effect of neuroticism on lung cancer risk (OR IVW=1.10, 95% CI: 1.03-1.17). Compared to individuals with low neuroticism and low PRS, those with both high neuroticism and high PRS had the greatest risk of lung cancer (HR=1.82, 95%CI: 1.51-2.20). Furthermore, there was a positive additive but no multiplicative interaction between neuroticism and genetic risk. Conclusions Our findings suggest that neuroticism is associated with an elevated risk of incident lung cancer, which is strengthened by the genetic susceptibility to lung cancer. Further studies are necessary to elucidate underlying mechanisms.