Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Quick Cell Patterning Using Light-Responsive Gas-Generating Polymer and Fluorescence Microscope

Conventional cell patterning methods are mainly based on hydrophilic/hydrophobic differences or chemical coating for cell adhesion/non-adhesion with wavering strength as it varies with the substrate surface conditions, including the cell type and the extracellular matrix components (ECMs) coating; thus, the versatility and stability of cell patterning methods must be improved. In this study, we propose a new cell patterning method using a light-responsive gas-generating polymer (LGP) and a conventional fluorescence microscope. Herein, cells and cellular tissues are easily released from the substrate surface by the nitrogen gas bubbles generated from LGP by the excitation light for fluorescence observation without harming the cells. The LGP-implanted chip was fabricated by packing LGP into a polystyrene (PS) microarray chip with a concave pattern. HeLa cells were spread on the LGP-implanted chips coated with three different ECMs (fibronectin, collagen, and poly-D-lysine), and all HeLa cells on the three LGP patterns were released. The pattern error between the LGP pattern and the remaining HeLa cells was 8.81 ± 4.24 μm, less than single-cell size. In addition, the LGP-implanted chip method can be applied to millimeter-scale patterns, with less than 30 s required for cell patterning. Therefore, the proposed method is a simple and rapid cell patterning method with high cell patterning accuracy of less than the cell size error, high scalability, versatility, and stability unaffected by the cell type or the ECM coating.
Enhancing students' skills in technical writing and LSP translation through tele-collaboration projects: teaching students in seven nations to manage complexity in multilateral international collaboration

Partnerships involving language projects have been common, but most have paired just two nations at a time (Jarvenpaa & Leidner, 1999; Flammia, 2005, 2012; Herrington, 2005, 2008; Humbley et al., 2005; Stärke-Meyerring & Andrews, 2006; Mousten et al., 2010). That changed in 2010, when universities in five nations, long involved in the Trans-Atlantic Project (TAP) began a far more complex international learning-by-doing project (Maylath et al., 2013). By 2012, universities in two more nations were added. In forming their students into crosscultural virtual teams (CCVTs), instructors asked, how can students best learn experientially to manage complex international/interlingual technical documentation projects? During multilateral collaborations, two projects took place simultaneously: a translation-editing project and a writing-usability testingtranslation project. The undertakings’ complexity was central in the students’ learning, thereby preparing students for the international, multilingual, multicultural environments in which students can be expected to operate after they graduate. Further, the projects succeeded in increasing trans-cultural and language awareness among students with little in extra funding.
Methylxanthines Induce a Change in the AD/Neurodegeneration-Linked Lipid Profile in Neuroblastoma Cells

Alzheimer’s disease (AD) is characterized by an increased plaque burden and tangle accumulation in the brain accompanied by extensive lipid alterations. Methylxanthines (MTXs) are alkaloids frequently consumed by dietary intake known to interfere with the molecular mechanisms leading to AD. Besides the fact that MTX consumption is associated with changes in triglycerides and cholesterol in serum and liver, little is known about the effect of MTXs on other lipid classes, which raises the question of whether MTX can alter lipids in a way that may be relevant in AD. Here we have analyzed naturally occurring MTXs caffeine, theobromine, theophylline, and the synthetic MTXs pentoxifylline and propentofylline also used as drugs in different neuroblastoma cell lines. Our results show that lipid alterations are not limited to triglycerides and cholesterol in the liver and serum, but also include changes in sphingomyelins, ceramides, phosphatidylcholine, and plasmalogens in neuroblastoma cells. These changes comprise alterations known to be beneficial, but also adverse effects regarding AD were observed. Our results give an additional perspective of the complex link between MTX and AD, and suggest combining MTX with a lipid-altering diet compensating the adverse effects of MTX rather than using MTX alone to prevent or treat AD.
Carbonation resistance of fly ash concrete

Based on systematic analysis, evaluation and synthesis of a 30 000 strong data matrix generated from 213 studies from 33 countries published since 1968, this paper details the extent of research that has been undertaken and discusses the effect of fly ash (FA) on the carbonation and carbonation-induced corrosion of concrete. It is shown that FA as a cement component, such as those adopted in BS EN 197-1:2011, increases the carbonation rate of concrete, both when concrete is designed in terms of equal water/cement ratio or strength, though with the latter to a lesser extent. This increase in carbonation has also been confirmed for in-service concrete. The net effect of FA content on the carbonation of concrete is dependent upon the combination of mix design, curing and exposure related parameters. FA in concrete is also shown to increase the corrosion of reinforcement, which can only be overcome by increasing the cover to reinforcement, concrete strength, or a combination of the two, beyond those specified.
Eye Tracking Research on the Influence of Spatial Frequency and Inversion Effect on Facial Expression Processing in Children with Autism Spectrum Disorder

Facial expression processing mainly depends on whether the facial features related to expressions can be fully acquired, and whether the appropriate processing strategies can be adopted according to different conditions. Children with autism spectrum disorder (ASD) have difficulty accurately recognizing facial expressions and responding appropriately, which is regarded as an important cause of their social disorders. This study used eye tracking technology to explore the internal processing mechanism of facial expressions in children with ASD under the influence of spatial frequency and inversion effects for improving their social disorders. The facial expression recognition rate and eye tracking characteristics of children with ASD and typical developing (TD) children on the facial area of interest were recorded and analyzed. The multi-factor mixed experiment results showed that the facial expression recognition rate of children with ASD under various conditions was significantly lower than that of TD children. TD children had more visual attention to the eyes area. However, children with ASD preferred the features of the mouth area, and lacked visual attention and processing of the eyes area. When the face was inverted, TD children had the inversion effect under all three spatial frequency conditions, which was manifested as a significant decrease in expression recognition rate. However, children with ASD only had the inversion effect under the LSF condition, indicating that they mainly used a featural processing method and had the capacity of configural processing under the LSF condition. The eye tracking results showed that when the face was inverted or facial feature information was weakened, both children with ASD and TD children would adjust their facial expression processing strategies accordingly, to increase the visual attention and information processing of their preferred areas. The fixation counts and fixation duration of TD children on the eyes area increased significantly, while the fixation duration of children with ASD on the mouth area increased significantly. The results of this study provided theoretical and practical support for facial expression intervention in children with ASD.
Biology and conservation of marine turtles in the North-Western Indian Ocean: a review

: The northwestern Indian Ocean hosts globally crucial marine biodiversity, which is relatively understudied. There has, however, been significant research and conservation effort focused on marine turtles across the region in recent decades. We undertook an exhaustive review of 251 relevant publications to extract and collate the current information concerning marine turtles. To ensure completeness, we received input on a preliminary draft from a large group of experts who have worked extensively in the region. Data presented here are from all 13 countries with significant coastlines in the region (Bahrain, Djibouti, Egypt, Eritrea, Iran, Kuwait, Oman, Qatar, Saudi Arabia, Somalia, Sudan, United Arab Emirates, and Yemen) on occurrence, nesting biology, morphology, foraging areas, population status, threats, and relevant national legislation and international conservation strategies. The experts independently provided details on what they felt were the (1) most significant threats to marine turtles, (2) most critical knowledge gaps for marine turtle ecology, (3) impediments to practical conservation, and (4) essential strengths and opportunities in the region.
Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus

Growth modelling is essential to inform fisheries management but is often hampered by sampling biases and imperfect data. Additional methods such as interpolating data through back-calculation may be used to account for sampling bias but are often complex and time-consuming. Here, we present an approach to improve plausibility in growth estimates when small individuals are under-sampled, based on Bayesian fitting growth models using Markov Chain Monte Carlo (MCMC) with informative priors on growth parameters. Focusing on the blue jack mackerel, Trachurus picturatus, which is an important commercial fish in the southern northeast Atlantic, this Bayesian approach was evaluated in relation to standard growth model fitting methods, using both direct readings and back-calculation data. Matched growth parameter estimates were obtained with the von Bertalanffy growth function applied to back-calculated length at age and the Bayesian fitting, using MCMC to direct age readings, with both outperforming all other methods assessed. These results indicate that Bayesian inference may be a powerful addition in growth modelling using imperfect data and should be considered further in age and growth studies, provided relevant biological information can be gathered and included in the analyses.
Intelligent interfaces enabling blind web users to build accessibility into the web

The web holds incredible potential for blind computer users. Most web content is relatively open, represented in digital formats that can be automatically converted to voice or refreshable Braille. Software programs called screen readers can convert some content to an accessible form, but struggle on content not created with accessibility in mind. Even content that is possible to access may not have been designed for non-visual access, requiring blind web users to inefficiently search for what they want in the lengthy serialized views of content exposed by their screen readers. Screen readers are expensive, costing nearly $1000, and are not installed on most computers. These problems collectively limit the accessibility, usability, and availability of web access for blind people. Existing approaches to addressing these problems have not included blind people as part of the solution, instead relying on either (i) the owners of content and infrastructure to improve access or (ii) automated approaches that are limited in scope and can produce confusing errors. Developers can improve access to their content and administrators to their computing infrastructure, but relying on them represents a bottleneck that cannot be easily overcome when they fail. Automated tools can improve access but cannot address all concerns and can cause confusion when they make errors. Despite having the incentive to improve access, blind web users have largely been left out. This dissertation explores novel intelligent interfaces enabling blind people to independently improve web content. These tools are made possible by novel predictive models of web actions and careful consideration of the design constraints for creating software that can run anywhere. Solutions created by users of these tools can be shared so that blind users can collaboratively help one another make sense of the web. Disabled people should not only be seen as access consumers but also as effective partners in achieving better access for everyone. The thesis of this dissertation is the following: With intelligent interfaces supporting them, blind end users can collaboratively and effectively improve the accessibility, usability, and availability of their own web access .
Examination of Testlet Effect in Open-Ended Items

The testlets are prevalently used in national and international standard tests and the teacher-made achievement tests thanks to their practicality. The purpose of the current study is to evaluate the testlet effect in test consisting the open-ended items and to identify the possible errors when this effect is ignored. The data consists of the scores given by three raters of the responses of 380 students in the teacher training program to two open-ended items in two testlets. The two designs with and without the testlet effect were modeled (totally crossed random design and the nested random design) and the differences between them were analyzed by Generalizability Theory (GT). The results showed that raters had a slight effect on the scores in both models tested, and the reliability of the scores was overestimated when the testlet effect was not ignored in such measurement tools.
Finite element analysis of mechanical stress of the hip joint in patients with posterior pelvic inclination

Abnormal mechanical loading is a main external factor affecting the development of osteoarthritis (OA). Excessive posterior pelvic inclination may decrease the loading area of the acetabulum, increasing mechanical stress to the articular surface and resulting in hip OA. However, exactly how much posterior pelvic inclination produces an excessive load on the articular surface remains unknown. The present study investigated the mechanical stress of 27 hips in 19 women [unilateral (right or left) hip joints of 11 women and bilateral (right and left) hip joints of 8 women were analyzed] with or without acetabular dysplasia by finite element analysis. Patient‐specific finite element models were constructed from computed tomography data obtained in the supine position. The posterior pelvic inclination in the models was changed from 0 to 30 degrees in five‐degree increments. The asso‐ ciation between equivalent stress in the hip joint and the pelvic inclination or acetabular dysplasia was analyzed. The equivalent stress for the femoral head in the original position was 0.97 MPa (0.91‐1.01) in normal hip joints and 1.18 MPa (1.00‐1.28) in hips with acetabular dysplasia (P=0.023). The equivalent stress significantly increased at >25 degrees of posterior inclination. In normal hips, when the pelvic posterior inclination was increased by 25 and 30 degrees, the equivalent stress was 1.21 (1.11‐1.35) and 1.24 (1.20‐1.47) MPa, respec‐ tively (P=0.029 and 0.010, respectively). The mechanical stress of normal hip joints serially increased as the posterior pelvic inclination increased, reaching a level almost equivalent to that of hip joints with acetabular dysplasia at 25 degrees of posterior inclination. On the whole, the present study demon‐ strates that posterior pelvic inclination may be a mechanical factor affecting the development of OA in patients without acetabular dysplasia, particularly when the posterior inclina‐ tion exceeds 25 degrees.
Robust control of a three phase separator: an LMI approach

: This paper presents an H ∞ approach for a three-phase gravity separator. A switching strategy is applied to chose between two controllers: one to damp oscillatory disturbances in the inﬂow of the separator, and one for better set-point tracking. The controller selection relies on the inﬂow disturbance measurement, which is unpractical or unreliable. Therefore, an H 2 observer is designed to estimate the (multiphasic) inﬂow which in turn is utilized as the controller switching signal. The performance of the proposed strategy is compared to a traditional PI Zone controller normally used in industry. The results demonstrated that the proposed controller outperforms the performance achieved by classical PI Zone controllers allowing a good trade-oﬀ between slug attenuation and set-point tracking.
Monitoring road base course construction progress by photogrammetry-based 3D reconstruction

Abstract Infrastructure industry is a significant contributor to a country's economy, but it is beset by cost overruns and delays. Therefore, project monitoring is essential to determine project performance by comparing the site progress to the schedule baseline. However, manual tracking lacks the precision and efficiency. The ability to quickly and accurately identify differences is important to implement essential measures to reduce the impact of delays. This paper aims to build a technology-assisted progress monitoring framework for road base course construction. A case study is carried out on a road construction site using an Unmanned Aerial Vehicle to capture as-built data in a timely manner. Photogrammetry is used to generate point cloud model as the 3 D geometrical representative of the site. Percentage of Completion is computed as an indication for the progress of the construction along with the location of the work performed and the quantity of the material used. The framework produced a detailed and accurate construction progress report with evidence support from point cloud data which allows the visualization of the actual construction site in three dimensions. The findings reveal that the framework enables accurate and efficient tracking of road base course construction progress as well as schedule comparison.
Zokfuzz: Detection of Web Vulnerabilities via Fuzzing

Fuzzing is one of the mainstream web application automated vulnerability detection methods. Because of its black box characteristics, it can be used to detect vulnerabilities without knowing the source code of the target application, so it is widely used. However, traditional web application fuzzing methods have the disadvantages of limited test cases, slow execution process, and low efficiency. In order to solve these problems, some scholars introduced genetic algorithms in the fuzzing process. However, after the test cases are entered, it is difficult to automatically detect the state of the web application, which will lead to deviations in the evolution direction of the population and the high aggressiveness of the test cases. This paper proposes a web application fuzzing script, which can realize automatic monitoring of web application status changes, and at the same time more accurately judge whether the test case is offensive. On this basis, an improved mutation method is proposed to enable the population to quickly evolve more aggressive test cases. Experimental results show that ZokFuzz can detect more web vulnerabilities compared to X-Ray and Burp Suite.
Dual-mode quadruple ridge waveguide feed for broadband satellite communications

A novel and compact dual-channel multimode waveguide system is described, which permits two distinct frequency channels, such as C-band and Ku-band, to be propagated simultaneously. The system is also dual-moded at both the lower and the upper frequencies, thus enabling polarisation switching between orthogonal linear signals or between left and right hand circularly polarised transmissions. The development is primarily motivated by the desire to provide extended range and global coverage, for a maritime satellite communications system, employing a single antenna platform.
THE ROLE OF SOCIAL SUPPORT SYSTEMS IN ALLEVIATING THE LONELINESS FELT BY EMPLOYEES WORKING FROM HOME DURING THE COVID-19 PANDEMIC

The year 2020 will go down as one of the hardest, most challenging periods known to man, for it is this year that millions of people succumbed to the COVID-19 pandemic. This event leads many people to stay at home to prevent and the spread of coronavirus. Therefore, everyone should stay at home that many businesses in terms of employee mandatory to work-from-home (WFH) to control the distribution of Covid-19. It leads to an increase in feeling loneliness because quarantine is isolated in a pandemic situation, where loneliness is the first problem in working from home. The study aims to find out the role that social support systems in an organization play in helping alleviate employee loneliness. Social support systems consist of Perceived Organizational Support (POS), Supervisor Support (SS), and Co-Worker Support (CS). This research used a quantitative research method with an open-ended questionnaire. A total of 137 employees that are currently working fromhome (WFH) participated in this research. By using multiple regression analysis and content analysis, the results show that co-workers' support (CS) has greater influences in alleviating the loneliness felt by the employee working from home, and the least was the perceived organization support (POS). On the whole, the social support system would be effective if organizations promote better interpersonal relationships, affiliation, and interaction with others as assigned by the organization, supervisor, and co-workers. This study provides an empirical contribution to the importance of human interactions in alleviating feelings of the loneliness felt by Indonesian employees working from home during a pandemic. Organizations must heed the call to be more engaged with their employees during this challenging situationthat affects their employees' mental and psychological state. Keywords: Employee loneliness, work-from-home (WFH), social support system, pandemic COVID-19, Indonesia
Spatiotemporal variability and change in rainfall in the Oti River Basin, West Africa

Understanding rainwater dispersion in a spatiotemporal context is invaluable toward resourceful water management and a food-secure society. This study, therefore, assessed the variations in rainfall at a spatiotemporal scale in the Oti River Basin of West Africa for observed (1981–2010) and future periods (2021–2050) under the representative concentration pathways (RCPs) 4.5 and 8.5 emission scenarios. Rainfall data from meteorological stations and Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) were used. The percentage changes in rainfall for the peak month as well as for rainy and dry seasons under the two climate scenarios were determined. The coefficient of variation (CV) and the standardized anomaly index (SAI) were used to assess annual variations in rainfall. In general, under both emission scenarios, rainfall is projected to decrease over the study area. However, the amount of rainfall during the peak month (August) for RCP4.5 and RCP8.5 could increase by 0.26 and 9.3%, respectively. The highest SAIs for the observed period were +1.58 (2009) and −2.29 (1983) with the latter showing a relationship with historic drought in the basin. The projected SAI under RCP4.5 and RCP8.5 indicated extremely wet (+2.12) and very wet (+1.91) periods for the years 2037 and 2028, respectively. The study provides relevant information and a chance to aid the design of innovative adaptation measures toward efficient water management and agricultural planning for the basin.