Miracle-dz/UniFAR-FTUs huggingface dataset:
Social support for students with visual impairments in educational institutions: An integrative literature review

Students with visual impairments often experience emotional problems and encounter difficulties in forming and maintaining social relationships. Research indicates that the social support provided to these students by staff members and their peers in educational institutions may have a positive impact on their academic learning and socioemotional development. The purpose of this integrative literature review was to synthesise the results from 17 academic articles published during 1998 and 2018, which examined the topic of social support for students with visual impairments in educational institutions. This review reveals that for students with visual impairments cooperation, empathetic behaviour, and practical assistance are the main components of social support. These students actively seek social support from staff members and peers, but they face many challenges, such as the lack of training and awareness. Support from staff members contributes to students’ academic learning and social inclusion, whereas peers’ social support enhances their self-esteem and social acceptance. The outlined positive effects of educational interventions on students’ social skills and social interaction support the need for implementing more interventions. The limitations of the studies reviewed and recommendations for future research are discussed.
Intertidal clams exhibit population synchrony across spatial and temporal scales

Long‐term datasets can be particularly useful for parsing out factors influencing populations, yet few studies have utilized continuous datasets to quantify population dynamics in bivalve molluscs. We used dynamic factor analysis on a clam biomass dataset spanning 28 yr and five distinct regions in the southern Salish Sea to determine (1) if native intertidal clam populations exhibit synchrony and (2) what environmental covariates may be correlated with these population trends. Once covariates were accounted for, the model with the most data support included three predominant trends to describe multidecadal change in clam biomass. Intraspecific synchrony was highest among Saxidomus gigantea and Leukoma staminea populations, with no clear evidence of covariance in Clinocardium nuttallii. Specifically, we quantified a pronounced decadal decline in L. staminea and an increase in S. gigantea biomass on most beaches. No beaches showed synchrony in trends across all three species, indicating that species‐specific trends (regardless of location) were more common than beach‐specific trends (regardless of species). Seven environmental covariates were evaluated in their capacity to explain variability in annual mean biomass. Of these, the North Pacific Gyre Oscillation lagged 4 yr prior to the observation year was most supported by the data in the best fitting model, implying that 4 yr old clam biomass is partially determined by oceanographic processes affecting larval clams. Although results suggest large‐scale density‐independent factors play a role in venerid clam population dynamics, it is also likely local factors account for variability not explained by our model.
Parents' burdens of service for children with ASD – implications for service providers

The purpose of this investigation is to gain insight into parents' perceptions of benefits vs burdens (value) of educational and healthcare service received for their child with ASD. Parents are the main integrators of long-term educational and healthcare service for their child with ASD. ,Design/methodology/approach included (1) a sentiment analysis of discussion forum posts from an autism message board using a rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media and (2) a qualitative content analysis of one-on-one interviews with parents of children diagnosed with ASD, complemented with interviews with experienced educators and clinicians. ,Findings reveal the link between customized service integration and long-term benefits. Both parents and service providers emphasize the need to integrate healthcare and educational service to create holistic long-term care for a child with ASD. Parents highlight the benefits of varied services, but availability or cost are burdens if the service is not publicly provided, or covered by insurance. Service providers' lack of experience with ASD and people's ignorance of the challenges of ASD are burdens. ,Ensuring health outcomes for a child with ASD requires an integrated service system and long-term, customer-centric service process because the scope of service covers the child's entire childhood. Customized educational and healthcare service must be allocated and budgeted early in order to reach the goal of a satisfactory service output for each child. ,This is the first service research to focus on parents' challenges with obtaining services for their child with ASD. This paper provides service researchers and managers insight into parents' perceptions of educational and healthcare service value (i.e. benefits vs. burdens) received for their child with ASD. These insights into customer-centric perceptions of value may be useful to research and may help service providers to innovate and provide integrated service directly to parents, or indirectly to service providers, who serve children with ASD.
Facile fabrication of versatile superhydrophobic coating for efficient oil/water separation

Abstract Nowadays, finding an efficient way to treatment oil spill and oily wastewater emission has attracted much attention all over the world. In this work, we fabricated a superhydrophobic coating (humic acid grafted by octadecylamine) with a simple method, and sprayed this coating on different structures which apply for self-cleaning, collect oil, and filter oil/water mixtures. In addition, silane-modified polymer sealant was used to strengthen the adhesive attraction between coating and structures. The coated mesh exhibited excellent superhydrophobicity (water contact angle of 153.14°) and superolephilicity (oil contact angle near 0°). Moreover, the coated mesh displayed outstanding performance in oil/water separation with huge oil flux about 16633.9 L h−1 m−2, high separating efficiency more than 95%, and good reusability (more than 10 cycles). Furthermore, the pore size of the coated mesh could regulate by changing the cycle of coated process, and the micro pore size of mesh could realize water-in-oil emulsions separation. To sum up, these merits of the superhydrophobic humic acid grafted by octadecylamine coating displayed great potential for effective oil/water separation. Graphical Abstract
An Online Collaborative Mind Mapping Feature on Student-Centered E-Learning Environment

The Faculty of Computer Science of Universitas Indonesia has implemented online learning facilitated by a learning management system called Student-Centered E-Learning Environment (SCeLE). One of its important features is the online discussion board that enables students to construct knowledge collaboratively. Connecting and comparing several ideas in an online discussion forum are challenging for both students and teachers, especially when the discussion runs very fast with long messages. This study proposes an online collaborative mind mapping feature integrated to the discussion forum. A prototype was developed using the Go programming language and Gin web framework. The usability testing was employed to gather data about user experience in using the application. The participants of the study were all students of the Faculty of Computer Science of Universitas Indonesia. The result of the study shows that the application benefits most of the users. The participants acknowledged that the features help them follow the discussion and it supports the collaborative work. However, in terms of the design and the user experience, more works are required to improve the feature needs.
Facile Synthesis of Highly Conductive Vanadium-Doped NiO Film for Transparent Conductive Oxide

Metal-oxide-based electrodes play a crucial role in various transparent conductive oxide (TCO) applications. Among the p-type materials, nickel oxide is a promising electrically conductive material due to its good stability, large bandgap, and deep valence band. Here, we display pristine and 3 at. %V-doped NiO synthesized by the solvothermal decomposition method. The properties of both the pristine and 3 at. %V:NiO nanoparticles were characterized by field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), X-ray diffractometry (XRD), Raman spectroscopy, ultraviolet–visible spectroscopy (UV–vis), and X-ray photoelectron spectroscopy (XPS). The film properties were characterized by atomic force microscopy (AFM) and a source meter. Our results suggest that incorporation of vanadium into the NiO lattice significantly improves both electrical conductivity and hole extraction. Also, 3 at. %V:NiO exhibits a lower crystalline size when compared to pristine nickel oxide, which maintains the reduction of surface roughness. These results indicate that vanadium is an excellent dopant for NiO.
Superimposed Nephrotic Syndrome in Diabetic Patients: 15 Cases of Mismatched Clinicopathological Correlation

The spectrum of renal disease in patients with diabetes encompasses both diabetic kidney disease (including albuminuric and non-albuminuric phenotypes) and non-diabetic kidney disease (NDKD). Acute nephrotic syndrome (NS) with short duration of diabetes indicates NDKD. Moreover, such presentation is atypical in patients with IgA nephropathy and pre-eclampsia and hence warrants kidney biopsy to rule out treatable glomerulopathy. In this case series; we present our experience with 15 patients with atypical NS and outline their management.
Topic Jerk Detector: Detection of Tweet Bursts Related to the Fukushima Daiichi Nuclear Disaster

In recent disaster situations, social media platforms, such as Twitter, played a major role in information sharing and widespread communication. These situations require efficient information sharing; therefore, it is important to understand the trends in popular topics and the underlying dynamics of information flow on social media better. Developing new methods to help us in these situations, and testing their effectiveness so that they can be used in future disasters is an important research problem. In this study, we proposed a new model, “topic jerk detector. ” This model is ideal for identifying topic bursts. The main advantage of this method is that it is better fitted to sudden bursts, and accurately detects the timing of the bursts of topics compared to the existing method, topic dynamics. Our model helps capture important topics that have rapidly risen to the top of the agenda in respect of time in the study of specific social issues. It is also useful to track the transition of topics more effectively and to monitor tweets related to specific events, such as disasters. We attempted three experiments that verified its effectiveness. First, we presented a case study applied to the tweet dataset related to the Fukushima disaster to show the outcomes of the proposed method. Next, we performed a comparison experiment with the existing method. We showed that the proposed method is better fitted to sudden burst accurately detects the timing of the bursts of the topic. Finally, we received expert feedback on the validity of the results and the practicality of the methodology.
Differentiation between milk from low-input biodynamic, intermediate-input organic and high-input conventional farming systems using fluorescence excitation spectroscopy (FES) and fatty acids

ABSTRACT This study evaluated the ability of fluorescence excitation spectroscopy (FES) to differentiate milk samples from different origins. Three different farming systems were chosen: D-samples originating from low-input biodynamic farms (cows fed on hay or pasture); O-samples from intermediate-input organic farms (cows fed mainly on grass silage); and C-samples from high-input conventional farms (indoor housing, cows fed on maize and grass silage). Milk samples were collected every second month between July 2015 and June 2016 from 12 farms (four farms per system), and a total of 70 samples were obtained. Fat-, protein- and urea-concentrations, somatic-cell count and fatty acid levels (FA) were determined. FES-measurements were performed by exciting the sample with light of different wavelengths and detecting delayed luminescence. Differences between farming systems in each season were checked by ANOVA. Factors of season, system and breed were evaluated in a linear regression model. By linear-discriminant analysis, variables contributing to correct classification were analysed. Milk FAs, especially the concentration of omega-3 (n3) and omega-6 (n6) FAs, were different between farming systems, while conjugated linoleic acid (CLA) and C18:1t11 (tVA)-concentration was mainly influenced by season (pasture). FES-parameters showed slight seasonal variations, but strong farming-system impacts. Differentiation between the three farming systems was possible for 81% of the samples by using FAs as variables. FES-parameters discriminated up to 86% of the samples, and, in combination, 93% of the samples were classified correctly. These results indicated that FES-results contributed to correct discrimination and that FES-results may be linked with qualities different to the FA profile.
Recovery Act - Large Scale SWNT Purification and Solubilization

The goal of this Phase I project was to establish a quantitative foundation for development of binary G-gels for large-scale, commercial processing of SWNTs and to develop scientific insight into the underlying mechanisms of solubilization, selectivity and alignment. In order to accomplish this, we performed systematic studies to determine the effects of G-gel composition and experimental conditions that will enable us to achieve our goals that include (1) preparation of ultra-high purity SWNTs from low-quality, commercial SWNT starting materials, (2) separation of MWNTs from SWNTs, (3) bulk, non-destructive solubilization of individual SWNTs in aqueous solution at high concentrations (10-100 mg/mL) without sonication or centrifugation, (4) tunable enrichment of subpopulations of the SWNTs based on metallic vs. semiconductor properties, diameter, or chirality and (5) alignment of individual SWNTs.
Photosynthetic energy conversion efficiency in the West Antarctic Peninsula

The West Antarctic Peninsula (WAP) is a highly productive polar ecosystem where phytoplankton dynamics are regulated by intense bottom‐up control from light and iron availability. Rapid climate change along the WAP is driving shifts in the mixed layer depth and iron availability. Elucidating the relative role of each of these controls and their interactions is crucial for understanding of how primary productivity will change in coming decades. Using a combination of ultra‐high‐resolution variable chlorophyll fluorescence together with fluorescence lifetime analyses on the 2017 Palmer Long Term Ecological Research cruise, we mapped the temporal and spatial variability in phytoplankton photophysiology across the WAP. Highest photosynthetic energy conversion efficiencies and lowest fluorescence quantum yields were observed in iron replete coastal regions. Photosynthetic energy conversion efficiencies decreased by ~ 60% with a proportional increase in quantum yields of thermal dissipation and fluorescence on the outer continental shelf and slope. The combined analysis of variable fluorescence and lifetimes revealed that, in addition to the decrease in the fraction of inactive reaction centers, up to 20% of light harvesting chlorophyll‐protein antenna complexes were energetically uncoupled from photosystem II reaction centers in iron‐limited phytoplankton. These biophysical signatures strongly suggest severe iron limitation of photosynthesis in the surface waters along the continental slope of the WAP.
The size prediction and auto-generation of garment template

PurposeThe size prediction of garment is an important part in the process of the garment design and production, and it is also one of the most important features in warp-knitted computer-aided design system. The purpose of this paper is to realize the auto-generation of the garment templates using JavaScript and WebGL technologies, based on the prediction of the size of warp-knitted seamless sportswear.Design/methodology/approachThe warp-knitted jacquard technology is used to produce the warp-knitted seamless sportswear, which is divided into suits and tights. In order to achieve the purpose of this study, the dimensions of four kinds of jacquard patterns knitted under different knitting conditions are measured and the crosswise and longitudinal size shrinkage percentages are also calculated. Then, the relationship between the yarn count and the drawing density as well as the size shrinkage percentage is studied and a size prediction model for warp-knitted jacquard fabric is established. Next, according to the results of the size calculation, the point positions of the garment boundary in the mathematical coordinate system is determined. The color formula is built by the two-dimensional mathematical matrix. Finally, combined with the coordinate position and color information, the template can be drawn automatically.FindingsBased on the size prediction model of warp-knitted garment, the template generation of warp-knitted full-form sportswear on WebGL-enabled web browser is realized, which is proven to be an effective computer-aided design method for warp-knitted garments.Research limitations/implicationsBecause of limited researches, only two groups of yarns and four kinds of jacquard patterns were studied. A vaster database should be built and smooth curve, accurate coordinate needs to be optimized in the further research.Practical implicationsThe size prediction model for warp-knitted jacquard garment and garment template auto-generation of warp-knitted computer-aided design system will simplify the fabric technical design process, shorten design time and improve the efficiency of new product development.Social implicationsThe size prediction model for warp-knitted jacquard garment and garment template auto-generation of warp-knitted computer-aided design system will provide the industries a guidance for new sample development and it also can shorten the development time and lower cost.Originality/valueThis author analyzes the relationship between the size characteristics and knitting technology of warp-knitted jacquard patterns, proposes a model of size prediction and realizes the auto-drawing of the garment template in the warp-knitted CAD system, which provides a reference for the new product design and development of warp-knitted seamless sportswear.
An Evaluation of Formic Acid as an Electron Donor for Palladium (PD) Catalyzed Destruction of Nitroaromatic Compounds

Abstract : The Department of Defense is responsible for over 2,000 hazardous waste sites containing nitroaromatic compounds (NACs) such as 2,4,6-TNT, 2,4- and 2,6-DNT that resulted from the production and use of munitions throughout the nation and world, NACs are typically persistent in natural environments, though they can be oxidized or reduced under engineered conditions, NACs and their reduction products are toxic chemicals and suspected human carcinogens, Both TNT and 2,4-DNT are listed as priority pollutants by the U,S EPA, This study investigates the effectiveness of using a palladium (Pd) catalyst in concert with formic acid as an electron donor to reduce NACs, If the reduction reaction is rapid and complete, without producing hazardous daughter products, the process may have application as an in situ treatment technology to remediate NAC-contaminated groundwater,
Colonization and extinction rates estimated from temporal dynamics of ecological communities: The island r package

The temporal dynamics of ecological communities are inherently complex, as dispersal processes, interspecific biotic interactions and environmental fluctuations interact to shape species assemblages. We developed an r package, island—a community ecology tool to analyse temporal patterns and explore potential drivers of community dynamics. The r package island is inspired by the simplicity of the Theory of Island Biogeography. Our package includes a suite of functions to easily confront models of increasing complexity to community data from the simplest stochastic model underlying Island Biogeography Theory to more elaborate models that include species responses to environmental variables and imperfect detectability, obtained at regular or irregular sampling times, using maximum‐likelihood and AIC‐based model selection. Models implemented in island should be regarded as simple approximations of true temporal community dynamics. In this sense, we call them effective models which we use to estimate effective parameters. These models are simple, but dynamic, as opposed to purely statistical. We illustrate the concept of dynamic effective models by using an immigration–birth–death stochastic model of population dynamics. We generated simulated community data to demonstrate the correspondence between the underlying true model parameters values and our effective parameter estimates. We present three examples showcasing the uses of our package: detectability estimation and model selection, influence of environmental covariates on community dynamics and estimation of co‐occurrence networks. Three detailed vignettes with a full set of examples accompany the r Package island available on CRAN.
STME: An effective method for discovering spatiotemporal multi‐type clusters containing events with different densities

Clustering on spatiotemporal point events with multiple types is an important step for exploratory data mining and can help us reveal the correlation of event types. In this article, we present an effective method for discovering spatiotemporal multi‐type clusters containing events with different densities and event types (STME). Particularly, the type of events in a cluster can be different, and clusters with similar densities but different internal compositions should be distinguished. We use the distance to the kth nearest neighbour to define the size of the searched neighbourhood, and expand clusters by the concept of cluster reachable, ensuring that the proportion of various types of events in the cluster remains stable. The concept of clustering priority is also proposed to make the cluster always expand from the region with the highest density, which improves the robustness of clustering. Moreover, the density of multiple types of events in clusters is estimated to discover the internal structure of clusters and further explore the correlation between events. The effectiveness of the STME algorithm is demonstrated in several simulated and real data sets, including points of interest data in Beijing and the origins and destinations of taxi trips in New York.