Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Cognitive Load on Learning Memory of Online Learning Accounting Students in the Philippines

Before COVID-19, universities in the Philippines sparingly used online learning instructional methods. Online learning is now widely known, and universities are increasingly keen to adopt it as a mainstream instructional method. Accounting is a popular discipline of study undertaken by students, but its online adoption is less well known. This study investigated university accounting students’ perceptions of the cognitive load of learning and how it influences their effect on learning memory at a university in the Philippines. During the COVID-19 period, after introducing online learning, 482 university undergraduate accounting students provided their perceptions using a five-point Likert scale survey questionnaire. The study measured teaching quality, learning content quality, and learning management system (LMS) quality, representing the cognitive load of learning. It measured electronic learning (e-learning) quality, learner satisfaction, and behavioral intentions to adopt online learning, continually representing the learning memory framework. The data analyzed using a structural equation model showed that students managing their cognitive load positively influenced their short-term learning. Learning content, teaching, and LMS quality positively influenced e-learning quality and student satisfaction. Student satisfaction positively influenced, but e-learning quality did not influence, students’ continued willingness for online learning. The findings were largely consistent across the second- and third-year enrolments. Findings from the first-year students showed that teaching quality did not influence student satisfaction and e-learning quality. This is the first study to test the influence of the cognitive load of learning on the learning memory of accounting students in an online learning environment.
Distributed Deformation in an Oceanic Transform System: Applying Statistical Tools to Structural and Paleomagnetic Data Near the Húsavík‐Flatey Fault, Northern Iceland

The right‐lateral Húsavík‐Flatey fault is part of the Tjörnes Fracture Zone, which links the offshore and onshore rift axes in northern Iceland. There has been debate about whether rocks near this fault have accommodated distributed off‐fault deformation, which is testable using paleomagnetic data. Recent studies from Flateyjarskagi show clockwise declination deflections that are largest near the fault. We augment these data with new structural and paleomagnetic measurements from 106 lava flows across three peninsulas—Flateyjarskagi, Tröllaskagi, and Tjörnes—also finding clockwise deflections that vary with distance from the fault. To test whether the deflections could be caused by off‐fault deformation, we combine our measurements with other regional data sets, applying several statistical tools including regressions of structural or paleomagnetic directions versus fault‐normal distance. To evaluate the significance and uncertainties of the regressions, we use permutation tests and bootstrapping. For Flateyjarskagi, our analysis suggests that lavas and dikes were deformed together; the regression results predict 4°–6° of rotation per kilometer about a steep, but not vertical, axis. Rocks on Tröllaskagi hint at similar spatial patterns with fault distance, but the data quality precludes a full analysis. Rocks on Tjörnes show no spatial patterns, but they preserve a temporal history, where rotation seems to have ceased after deposition of the Pliocene‐age Tjörnes beds. Using constraints from our statistical analyses, geochronology, and comparisons with the transform system in southern Iceland, we propose several modifications to models for the evolution of axial rift zones in northern Iceland.
Attachment of Proteolytic Enzyme Inhibitors to Vascular Prosthesis—An Analysis of Binding and Antimicrobial Properties

Prosthetic infections are associated with high morbidity, mortality, and relapse rates, making them still a serious problem for implantology. Staphylococcus aureus is one of the most common bacterial pathogens causing prosthetic infections. In response to the increasing rate of bacterial resistance to commonly used antibiotics, this work proposes a method for combating pathogenic microorganisms by modifying the surfaces of synthetic polymeric biomaterials using proteolytic enzyme inhibitors (serine protease inhibitors—4-(2-aminoethyl)benzenesulfonyl fluoride hydrochloride and puromycin). While using techniques based on the immobilization of biologically active molecules, it is important to monitor the changes occurring on the surface of the modified biomaterial, where spectroscopic techniques (e.g., FTIR) are ideal. ATR-FTIR measurements demonstrated that the immobilization of both inhibitors caused large structural changes on the surface of the tested vascular prostheses (polyester or polytetrafluoroethylene) and showed that they were covalently bonded to the surfaces of the biomaterials. Next, the bactericidal and antibiofilm activities of the tested serine protease inhibitors were determined using the CLSM microscopic technique with fluorescent staining. During LIVE/DEAD analyses, a significant decrease in the formation of Staphylococcus aureus biofilm after exposure to selected concentrations of native inhibitors (0.02–0.06 mg/mL for puromycin and 0.2–1 mg/mL for 4-(2-aminoethyl)benzenesulfonyl fluoride hydrochloride) was demonstrated.
Outdoor traffic noise effect in indoor sound distribution

Noise mapping is one of the common acoustic project done, especially in urban environment. Researches have used different location, studied the usability area, and used simulation with numerical analysis as well as variety of data collecting techniques. However, information about noise distribution in an area that considers the sound distribution inside a building is still limited, since the indoor acoustics are mostly discussed in the field of room acoustics. Meanwhile, people tend to spend more time indoor instead of outdoor and therefore, such information above is considered important. This research propose a specific study about traffic noise effect to the indoor sound level distributions. Locations of this study are Faculty of Law (FH UGM) and Department of Electrical And Informatics Engineering Vocational College Universitas Gadjah Mada (DTEDI SV UGM). Selected based on interview results with the building management. The discussions are zoning of data collection points, identification of traffic noise from inside the building, analysis of sound wave attenuation, then the data are visualized via software that based on Geographic Information System or GIS. The identified traffic noise using simultaneous recording is categorized as continuous noise and intermittent noise such as police’s whistle, modified exhaust, and honking. Police siren is categorized as an outlierwith the highest sound pressure. The study proved that the external sound sources do produce noise that affect the distribution of sound level inside the building. Detailed results and possible recommendations for this issue have been submitted to FH UGM and DTEDI SV UGM.
Tourism crowding and resident approach/avoidance reactions through sustainable tourism: moderating role of proenvironmental behavior

Purpose In line with the stimulus overload theory, this study seeks a comprehensive understanding of tourism crowding by examining residents’ perceived tourism crowding and their corresponding avoidance and approach reactions through sustainable tourism. In addition, the study aims to investigate whether residents’ proenvironmental behavior moderates’ tourism’s negative impacts on the local ecosystem, delving into its potential mitigating role. Design/methodology/approach Using purposive sampling, the authors engaged residents associated with government and nongovernment organizations, universities, colleges and schools, as well as individuals from the business sector encompassing hotels, restaurants and cafeterias, markets and dedicated social activists actively involved in community affairs. Findings The analysis, conducted on 920 questionnaires using structural equation modeling, demonstrates that tourism crowding exhibits a negative correlation with sustainable tourism and approach reactions but a positive correlation with avoidance reactions. Furthermore, the moderation analysis suggests that as residents’ proenvironmental behavior improves, the detrimental effect of tourism crowding on sustainable tourism diminishes. Practical implications The study presents numerous implications for policymakers and the tourism industry, emphasizing the need to comprehend residents’ perceptions of tourism crowding and sustainable tourism. It underscores the importance of engaging residents in the tourism process to achieve sustainability goals. Originality/value The novel theoretical contribution lies in applying the stimulus overload theory to examine tourism crowding and sustainable tourism, specifically from the residents’ perspectives.
Appreciation of landscape aesthetic values in Slovakia assessed by social media photographs

Abstract Geolocated photos from google Panoramio are used as a proxy for evaluation of aesthetic values appreciation of different landscape types in Slovakia. We collected the photo’s metadata from years 2005 - 2014 and calculated the density of photos uploaded by unique user per square kilometre. Then we compared the photos density in different landscape types. The most appreciated are subalpine and alpine landscape types. The high photo density was also found in urban landscapes where most of the population live. Outside the urban area, we found that less intensive type of landscapes are visually more attractive. From the abiotic landscape categories the most aesthetically valuable are landscapes in giant highlands and glacial giant highlands. The lowland landscape used intensively for agricultural production is less attractive.
Early Detection of Atrial Fibrillation in Chronic Obstructive Pulmonary Disease Patients

Atrial fibrillation (AF) is an important medical problem, as it significantly affects patients’ quality of life and prognosis. AF often complicates the course of chronic obstructive pulmonary disease (COPD), a widespread disease with heavy economic and social burdens. A growing body of evidence suggests multiple links between COPD and AF. This review considers the common pathogenetic mechanisms (chronic hypoxia, persistent inflammation, endothelial dysfunction, and myocardial remodeling) of these diseases and describes the main risk factors for the development of AF in patients with COPD. The most effective models based on clinical, laboratory, and functional indices are also described, which enable the identification of patients suffering from COPD with a high risk of AF development. Thus, AF in COPD patients is a frequent problem, and the search for new tools to identify patients at a high risk of AF among COPD patients remains an urgent medical problem.
A Silicon-Photo-Multiplier-Based Camera for the Terzina Telescope on Board the Neutrinos and Seismic Electromagnetic Signals Space Mission

NUSES is a pathfinder satellite project hosting two detectors: Ziré and Terzina. Ziré focuses on the study of protons and electrons below 250 MeV and MeV gamma rays. Terzina is dedicated to the detection of Cherenkov light produced by ultra-high-energy cosmic rays above 100 PeV and ultra-high-energy Earth-skimming neutrinos in the atmosphere, ensuring a large exposure. This work mainly concerns the description of the Cherenkov camera, composed of SiPMs, for the Terzina telescope. To increase the data-taking period, the NUSES orbit will be Sun-synchronous (with a height of about 550 km), thus allowing Terzina to always point toward the dark side of the Earth’s limb. The Sun-synchronous orbit requires small distances to the poles, and as a consequence, we expect an elevated dose to be received by the SiPMs. Background rates due to the dose accumulated by the SiPM would become a dominant contribution during the last two years of the NUSES mission. In this paper, we illustrate the measured effect of irradiance on SiPM photosensors with a variable-intensity beam of 50 MeV protons up to a 30 Gy total integrated dose. We also show the results of an initial study conducted without considering the contribution of solar wind protons and with an initial geometry with Geant4. The considered geometry included an entrance lens as one of the options in the initial design of the telescope. We characterize the SiPM output signal shape with different μ-cell sizes. We describe the developed parametric SiPM simulation, which is a part of the full Terzina simulation chain.
Machine Learning Techniques for Cyberattack Prevention in IoT Systems: A Comparative Perspective of Cybersecurity and Cyberdefense in Colombia

This study investigates the application of machine learning techniques for cyberattack prevention in Internet of Things (IoT) systems, focusing on the specific context of cyberattacks in Colombia. The research presents a comparative perspective on cyberattacks in Colombia, aiming to identify the most effective machine learning methods for mitigating and preventing such threats. The study evaluates the performance of logistic regression, naïve Bayes, perceptron, and k-nearest neighbors algorithms in the context of cyberattack prevention. Results reveal the strengths and weaknesses of these techniques in addressing the unique challenges posed by cyberattackers in Colombia’s IoT infrastructure. The findings provide valuable insights for enhancing cybersecurity measures in the region and contribute to the broader field of IoT security.
Effects of Coconut Water and Banana Homogenate on Shoot Regeneration of Meyer Lemon (Citrus × meyeri)

Meyer lemon (Citrus × meyeri) is a hybrid citrus fruit from the Rutaceae family, originating from China. It is well-known for its distinctive appearance and flavor, as well as its health-nourishing nutrients. Micropropagation is an efficient alternative in the multiplication of plant stocks suitable for the commercial scale. The inclusion of organic additives in culture media has been found to provide a cost-effective option as a plant growth stimulant for in vitro plant development. The current study intends to assess the effects of coconut water and banana homogenate in the regeneration of Meyer lemon. In vitro, shoots were treated in half-strength Murashige and Skoog media fortified with 2 mg/L 6-benzylaminopurine with varying concentrations of coconut water and banana homogenate without sucrose. Results revealed that the treatment of 30% coconut water and 40 g/L banana homogenate resulted in the greatest proliferation of new shoots (3.00 ± 0.873 and 1.57 ± 0.297, respectively), whereas treatment of 40% coconut water resulted in the greatest shoot elongation of 0.239 ± 0.026 cm. The current study suggested the incorporation of coconut water and banana homogenate as potential substitutes for carbon sources and growth stimulants in the regeneration of Meyer lemon.
Petroleum geomechanics modelling in the Eastern Mediterranean basin: analysis and application of fault stress mechanics

A fault stress analysis of a typical gas field in the Eastern Mediterranean is presented. The objective of this study is to provide estimates of the in situ stresses and pore pressure for populating a regional Mechanical Earth Model and to characterize the stability of faults under current and changing reservoir conditions. The fault stability analysis is based on the Mohr-Coulomb frictional faulting theory. The vertical in situ stress is estimated using seismic and density data and the bounds of the horizontal stresses were determined for different fault regimes. The pore pressure for determining the effective in situ stresses is estimated using the Bowers pore pressure prediction method. Fault stress analysis is performed in a series of calculations and the results are plotted on Mohr diagrams for shear failure. The fault stress analysis is performed on a wide range of alternative azimuth orientations for S Hmax in order to capture the uncertainty on the actual orientation. Sensitivity with respect to reservoir pore pressure change suggests that pressure reduction in the reservoir improves the fault stress stability, ignoring in the current analysis any stress arching effects. Pore pressure increase decreases the normal stress on the fault leading to increasing risk of shear failure of the critically stressed faults. The case study examines eight faults on the Aphrodite gas field with the objective to characterize if the faults are active or remain dormant under current stress conditions and how the stability may change in reservoir injection or depletion conditions.
Automatic extraction of flood inundation areas from SAR images: a case study of Jilin, China during the 2017 flood disaster

ABSTRACT Flood is one of the most frequent and widespread natural hazards globally, which can cause tremendous economic damage and human casualties. As such, flood event monitoring is essential, for which Synthetic Aperture Radar (SAR), with high spatial resolution as well as all-weather and all-time capabilities, can provide high-quality data support. However, algorithms for automatic flood inundation mapping that do not require ancillary data are limited. In this study, we propose a hybrid methodology that combines automatic thresholds selection, pixel- and object-based classification, and bidirectional region growing method for extracting flood inundation areas. This is a fully automatic approach that does not require the assistance of ancillary data. Firstly, the gamma distribution is used to estimate the probability density function (PDF) of ‘open water’ and to set thresholds. Then, we introduce a two-step classification approach, applying the pixel- and object-based classifications; the former is easy to implement with low computational complexity and stable performance, whereas the latter can reduce noise pixels and is less sensitive to SAR intrinsic speckle. The two-step classification is employed to yield core flooded and non-flooded regions that are used as seeds for region growing. Furthermore, we propose a bidirectional region growing approach that grows regions for flooded and non-flooded regions simultaneously to eliminate areas of uncertainty, while minimizing under- and over-detection. We verified the proposed approach by applying it to real flood events that occurred in Jilin, China on 13 July 2017 and 20 July 2017. The experimental results demonstrate the effectiveness and reliability of the proposed approach.
Initiation and evolution of systemic innovations: Patterns and interactions in the emergence of additive manufacturing technologies

Technological innovations are becoming increasingly systemic in the complex and interconnected world. The initiation and evolution of systemic innovations take time and include numerous challenges, and the mechanisms through which systemic innovations emerge in the interaction between different technologies represent a research gap. This paper explores the emergence of ceramic additive manufacturing as an example of a systemic manufacturing technology innovation. We implemented an event history analysis of four ceramic‐material additive manufacturing technologies. We traced the initiation and evolution paths of each of the four technologies over time and showed a pattern of activities within and across the technologies. The study contributes by revealing that systemic innovations emerge as a result of parallel and sequential development paths of within‐technology system components as well as the interaction between multiple technologies. The timing of the coalescing development paths of the system components and technologies appears crucial but serendipitous instead of coordinated. The findings open new pathways for speeding up the emergence of systemic innovations and forthcoming research to support the evolution of additive manufacturing.
Seasonal Variation in the Length-Weight Relationships and Condition Factor of Four Commercially Important Sea Cucumbers Species from Karachi Coast- Northern Arabian Sea

Length-weight relationships and condition assessment are a common practice in fisheries analyses; however, such information is unknown for most sea cucumber species. The present study investigated length-weight relationships and relative condition indices of four commercially important sea cucumbers: Holothuria arenicola, Holothuria atra, Holothuria pardalis and Holothuria verrucosa. Additionally, the seasonal variations obtained between three climatic seasons (pre-monsoon, monsoon and post-monsoon) were analyzed. The results showed that the four species grow allometrically, with negative allometric b values ranging from 0.84 to 1.74. There were significant differences of length-weight relationships between climatic seasons for H. arenicola and H. atra. The lower b values were observed during post-monsoon and the higher b values during monsoon in three of the four species. During the post-monsoon, the condition of the bigger individuals of H. arenicola and H. atra was lower than that of the small individuals. The differences in length-weight relationships of H. pardalis and H. verrucosa were not significant between climatic events. The higher temperatures occurred during monsoon and the lower during post-monsoon, but these data only showed a significant correlation with the relative condition factor of H. arenicola. Best condition of the individuals of H. arenicola occurred at temperatures between 22 to 31°C. Studies about environmental variables and characteristics of the substratum type are necessary in order to complement the understanding of the length-weight relationships and condition of these species.
Designing Green Roofs for Low Impact Development: What Matters, and Why?

This study assesses the relative influence of four independent variables on green roof hydrological performance under rainstorm conditions. Twenty-four extensive green roofs representing all combinations of four design factors were used: native meadow species versus Sedum, mineral-based versus biologically-derived planting medium, 10 cm versus 15 cm depth, and irrigation provided daily, sensor controlled, or not at all. From events covering the summer period May – October in 2013 and 2014, mean values were determined for the seasonal volumetric runoff coefficient (Cvol = 0.4), peak runoff coefficient (Cpeak = 0.12), and NRCS curve number, (CN = 90). Irrigation had the largest overall impact; daily irrigation increased Cvol to 0.5 compared to 0.3 for systems with sensor controlled or no irrigation. The biologically-derived planting medium, comprised of a high proportion of aged wood compost, made a significant improvement, maintaining Cvol of 0.3 compared to 0.4 for the mineral-based product in the modules without irrigation. A similar pattern was found in the NRCS curve numbers.