Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing Student Strategies In Blended Courses Using Clickstream Data

Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern mining and models borrowed from Natural Language Processing (NLP) to understand student interactions and extract frequent strategies from a blended college course. Fine-grained clickstream data is collected through Diderot, a non-commercial educational support system that spans a wide range of functionalities. We find that interaction patterns differ considerably based on the assessment type students are preparing for, and many of the extracted features can be used for reliable performance prediction. Our results suggest that the proposed hybrid NLP methods can provide valuable insights even in the low-data setting of blended courses given enough data granularity.
Visual Knowledge Generation from Data Mining Patterns for Decision-Making

The visual data mining based decision support systems had already been recognized in literature. It allows users analysing large information spaces to support complex decision-making. Prior research provides frameworks focused on simply representing extracted patterns. In this paper, we present a new model for visually generating knowledge from these patterns and communicating it for intelligent decision-making. To prove the practicality of the proposed model, it was applied in the medical field to fight against nosocomial infections in the intensive care units.
Effectiveness of Time-limited Therapy

Common neurotic and personality disorders account for widespread personal restriction and suffering. The need for effective, economically feasible treatment methods is widely acknowledged and the range of conditions successfully treated by available methods needs to be established. This study is concerned with two methods of brief psychotherapy; our aim was the essentially pragmatic one of investigating how far relatively long-term NHS out-patients with neurotic, personality, and interpersonal problems could be successfully and economically treated by the kind of therapists available in NHS settings. It is generally believed by psychoanalytically-oriented therapists that brief therapy requires high levels of training and experience; this is tested here, in that all the therapies were strictly time-limited, and none of the therapists had completed advanced training.
A modeling framework for agent-oriented analysis and design based on grid architecture

According to the characteristics of grid architecture (including heterogeneity, openness and adaptability), this paper presents a modeling framework for agent-oriented analysis and design, which uses the concepts of open organization, role, grid/spl I.bar/agent and service etc. to analyze and design distributed application based on grid architecture. The basic concepts, abstract models and modeling steps are given. The process of analysis and design is illustrated through a case study.
Validity of the “two‐state” hypothesis for conformational transitions of proteins

The theory, character, and properties of cooperative transitions are developed with special reference to the abrupt changes of state which occur in protein solutions. Comparisons of helix–coil processes and protein conformational reactions show that though cooperation dominates both of these processes, there are important differences. Tests of two types for the validity of the two‐state approximation are presented with specific applications to proteins. Available experimental evidence demonstrates that the thermally induced reversible transitions of ribonuclease, α‐chymotrypsin, and chymotrypsinogen A under conditions thus far examined are two‐state processes.
Exploring the Role of Executive Functioning Capacity in Patient Activation and Health Outcomes Among Medicaid Members With Multiple Comorbidities

Patient activation, the perceived capacity to manage one’s health, is positively associated with better health outcomes and lower costs. Underlying characteristics influencing patient activation are not completely understood leading to gaps in intervention strategies designed to improve patient activation. We suggest that variability in executive functioning influences patient activation and ultimately has an impact on health outcomes. To examine this hypothesis, 440 chronically ill Medicaid enrollees completed measures of executive functioning, patient activation, and health-related quality of life. Mediation analyses revealed that executive functioning: (a) directly affected patient activation and mental health-related quality of life, (b) indirectly affected mental health-related quality of life through patient activation, and (c) was unrelated to physical health-related quality of life. These data indicate that further study of the relationships among neurocognitive processes, patient activation, and health-related quality of life is needed and reinforces previous work demonstrating the association between patient activation and self-reported outcomes.
MicroScholar: Mining Scholarly Information from Chinese Microblogs

For many researchers, one of the biggest issues is the lack of an efficient method to obtain latest academic progresses in related research fields. We notice that many researchers tend to share their research progresses or recommend scholarly information they have known on their microblogs. In order to exploit microblogging to benefit scientific research, we build a system called MicroScholar to automatically collecting and mining scholarly information from Chinese microblogs. In this paper, we briefly introduce the system framework and focus on the component of scholarly microblog categorization. Several kinds of features have been used in the component and experimental results demonstrate their usefulness.
The Application of Gapless Arresters on Underground Distribution Systems

The application of gapless zinc oxide arresters represents a significant development in surge protection. The purpose of this paper is to examine the application of gapless surge arresters to underground distribution feeders, and compare the protection of these arresters to conventional gapped arresters. This comparison should introdwxe the reader to the performance that can be expected from this new arrester technology as applied to underground distribution systems.
A Small Grants Program Improves Medical Education Research Productivity

Background This study compared research collaboration and productivity among applicants to a small educational research grants program. Method Brief interviews were conducted with 89% (8/9) of funded applicants and 55% (6/11) of unfunded applicants. Results Funded projects had an average 6.6 scholarly products per project and 3.8 interinstitutional collaborators with 72.5% continuing collaborations, compared with the unfunded group that had 2.8 products, 1.8 collaborators, and only 16% continuing collaborations. Conclusions This program seems beneficial to research productivity and multiinstitutional collaboration.
Simulating complex power-ground plane shapes with variable-size cell SPICE grids

Power and ground planes can be simulated with rectangular uniform SPICE grids, or by analytically evaluating the double series of modal resonances. For nonrectangular shapes, the Transmission Matrix Method (TLM) can be used. For odd shapes, irregular outlines, cutouts and perforations, a variable-size cell grid is shown to be effective and sufficiently accurate. The adaptive grid preserves the static capacitance of the planes, calculates the modal resonances accurately in the presence of cutouts, and can also account for the perforations of planes.
More Than One Way to Debrief: A Critical Review of Healthcare Simulation Debriefing Methods

Summary Statement Debriefing is a critical component in the process of learning through healthcare simulation. This critical review examines the timing, facilitation, conversational structures, and process elements used in healthcare simulation debriefing. Debriefing occurs either after (postevent) or during (within-event) the simulation. The debriefing conversation can be guided by either a facilitator (facilitator-guided) or the simulation participants themselves (self-guided). Postevent facilitator-guided debriefing may incorporate several conversational structures. These conversational structures break the debriefing discussion into a series of 3 or more phases to help organize the debriefing and ensure the conversation proceeds in an orderly manner. Debriefing process elements are an array of techniques to optimize reflective experience and maximize the impact of debriefing. These are divided here into the following 3 categories: essential elements, conversational techniques/educational strategies, and debriefing adjuncts. This review provides both novice and advanced simulation educators with an overview of various methods of conducting healthcare simulation debriefing. Future research will investigate which debriefing methods are best for which contexts and for whom, and also explore how lessons from simulation debriefing translate to debriefing in clinical practice.
Absence of phylogenetic signal in the niche structure of meadow plant communities

A significant proportion of the global diversity of flowering plants has evolved in recent geological time, probably through adaptive radiation into new niches. However, rapid evolution is at odds with recent research which has suggested that plant ecological traits, including the β- (or habitat) niche, evolve only slowly. We have quantified traits that determine within-habitat α diversity (α niches) in two communities in which species segregate on hydrological gradients. Molecular phylogenetic analysis of these data shows practically no evidence of a correlation between the ecological and evolutionary distances separating species, indicating that hydrological α niches are evolutionarily labile. We propose that contrasting patterns of evolutionary conservatism for α- and β-niches is a general phenomenon necessitated by the hierarchical filtering of species during community assembly. This determines that species must have similar β niches in order to occupy the same habitat, but different α niches in order to coexist.
New realization of the image reconstruction |ω|-type filters using equiripple FIR and IIR structure

A cmmon technique for image recon­struction in CT and MR tomography is so called Back Projec­tion (BP) algorithm. The weighting function used in first step of this algorithm can be viewed in space domain as a zerophase FIR (Finite Impulse Response) filter, or as realization an idealized magnitude shape (e.g. |ω|). Another realization of |ω| — filters will be presented, with better approximation near the low frequencies.
Inhibition of murine fibrocyte differentiation by cross‐linked IgG is dependent on FcγRI

Monocyte‐derived, fibroblast‐like cells, called fibrocytes, participate in wound‐healing and the formation of fibrotic lesions. Aggregated or cross‐linked IgG are key effectors in infections, autoimmune diseases, anaphylaxis, and immunotherapy. Cells, including monocytes and fibrocytes, bind IgG using FcγRs, and aggregated or cross‐linked IgG inhibits fibrocyte differentiation. Mice have four different FcγRs, and which of these, if any, mediate the cross‐linked IgG effect on fibrocyte differentiation is unknown. We find that in mice, deletion of FcγRI or the common signaling protein FcRγ significantly reduces the ability of cross‐linked IgG or IgG2a to inhibit fibrocyte differentiation. Cells from FcγRIIb/III/IV KO mice are still sensitive to cross‐linked IgG, whereas cells from FcγRI/IIb/III/IV KO mice are insensitive to cross‐linked IgG. These observations suggest that IgG‐mediated inhibition of fibrocyte differentiation is mediated by FcγRs, with FcγRI mediating most of the signaling.
An Approach to Children Surveillance with Sensor-Based Signals Using Complex Event Processing

This paper proposed an approach toward children surveillance using complex event processing (CEP) with sensor-based signals. Through receiving event streaming extracted from sensor signals, the system could trigger some complex events for further decision based on real-time CEP engine with event processing language (EPL). In wireless sensor network (WSN), different categories of sensing data could be identified as a variety of events. While a complex event was composed of simple (atomic) events derived by different sensors, an intelligent decision system can be constructed incorporating CEP engine (i.e. multiple sensors fusion). Recently, campus security especially in children abduct has been regarded as a critical issue. Although the parents sent their children to the school by themselves, they did not still know what happened to their children in campus not to mention the fact that their children have been cutting class. Therefore, we try to build a sensor-based surveillance system to protect children from dangers.
Bringing the Internet to your database: using SQL server 2000 and XML to build loosely-coupled systems

Loosely-coupled, distributed system architectures need to be flexible enough to allow individual components to join or leave the heterogeneous conglomerate of services and components and to change their internal design and data models without jeopardizing the whole architecture. A well-established approach is to use XML as the lingua franca for the integration layer that hides the heterogeneity among the components and provides the glue that allows the individual components to take part in the loosely integrated system. The article focuses on how to provide the basic technology to enable a relational database to become a component in such loosely-coupled systems and it provides an overview of the features that are needed to provide access via HTTP and XML.
Uncertainty-aware RGBD image segmentation

We propose a graph-based RGBD image segmentation method that considers both depth and color information. Color and depth information are complementary to each other. However, compared with the RGB channels, the depth channel of an image has more noises and uncertainties that have negative effects to accurate segmentation. To partially solve this problem, we model the depth uncertainties of an image as a function of the distances and angles between the RGBD sensor and the observed surfaces. Then, the uncertainty model is applied to RGBD image segmentation in which the RGB and depth cues are combined according to the uncertainties of the depth measurements. The experimental results show that our method improves the segmentation accuracy.
catena-Poly[[[aquasilver(I)]-μ-1,1′-(butane-1,4-diyl)di-1H-imidazole-κ2 N 3:N 3′] hemi(biphenyl-4,4′-dicarboxylate) dihydrate]

In the title compound, {[Ag(C10H14N4)(H2O)](C14H8O4)0.5·2H2O}n, the AgI ion is three-coordinated by two N atoms from two independent 1,1′-(butane-1,4-diyl)di-1H-imidazole (BBI) ligands and one water O atom in a distorted T-shaped coordination geometry. The biphenyl-4,4′-dicarboxylate (BPDC) dianions do not coordinate to AgI ions but act as counter-ions. The AgI ions are linked by BBI ligands, forming a zigzag chain. These chains are linked into a two-dimensional supramolecular architecture by O—H⋯O hydrogen-bonding interactions between water molecules and carboxylate O atoms of the BPDC dianions.
Raman exfoliative cytology for oral precancer diagnosis

Abstract. Oral premalignant lesions (OPLs) such as leukoplakia, erythroplakia, and oral submucous fibrosis, often precede oral cancer. Screening and management of these premalignant conditions can improve prognosis. Raman spectroscopy has previously demonstrated potential in the diagnosis of oral premalignant conditions (in vivo), detected viral infection, and identified cancer in both oral and cervical exfoliated cells (ex vivo). The potential of Raman exfoliative cytology (REC) in identifying premalignant conditions was investigated. Oral exfoliated samples were collected from healthy volunteers (n=20), healthy volunteers with tobacco habits (n=20), and oral premalignant conditions (n=27, OPL) using Cytobrush. Spectra were acquired using Raman microprobe. Spectral acquisition parameters were: λex: 785 nm, laser power: 40 mW, acquisition time: 15 s, and average: 3. Postspectral acquisition, cell pellet was subjected to Pap staining. Multivariate analysis was carried out using principal component analysis and principal component-linear discriminant analysis using both spectra- and patient-wise approaches in three- and two-group models. OPLs could be identified with ∼77% (spectra-wise) and ∼70% (patient-wise) sensitivity in the three-group model while with 86% (spectra-wise) and 83% (patient-wise) in the two-group model. Use of histopathologically confirmed premalignant cases and better sampling devices may help in development of improved standard models and also enhance the sensitivity of the method. Future longitudinal studies can help validate potential of REC in screening and monitoring high-risk populations and prognosis prediction of premalignant lesions.
Anxiety and depression following preeclampsia or hemolysis, elevated liver enzymes, and low platelets syndrome. A systematic review

Women who suffered from pregnancy complications are at increased risk for anxiety and depression. The aim of this study was to evaluate whether having suffered from preeclampsia (PE) or HELLP (hemolysis, elevated liver enzymes, and low platelets) syndrome is associated with anxiety and depression, and whether PE/HELLP is an independent risk factor for developing anxiety and depression. Systematic search on PubMed and PsycInfo with no time limit. Studies presenting original data, including women with a history of PE/HELLP and at least one comparison group of women without PE/HELLP, reporting the results for each group separately or in a multivariate regression analysis with PE/HELLP as an independent variable. Study characteristics and outcomes were extracted using a prespecified form. If necessary, additional calculations were performed. The search yielded 267 articles, with only six being suitable for inclusion in this review. Studies on depression (six studies) showed generally positive associations between PE/HELLP and the prevalence of depression or severity of depressive symptoms. However, the results of three studies were not statistically significant. Studies addressing anxiety (two studies) did not show significant associations between PE/HELLP and anxiety scores. Associations between post‐traumatic stress and PE/HELLP, investigated in four studies, were often nonsignificant. Due to heterogeneity of study methods, a meta‐analysis of the results was not possible. In most studies, confounder control was poor. Evidence is mixed but generally points to positive associations between various forms of psychopathology and previous PE/HELLP. Causality of the associations can, however, not be judged adequately.
Evolutionary Distributed Control of a Biologically Inspired Modular Robot

Arguably the innovative problem solving abilities is one of the cornerstones for ensuring the survival of the homo sapien species in the game of evolution. Throughout history, when faced with challenges it was not uncommon for mankind to turn to nature for answers. In the modern day, problem solving utilizing techniques harnessed from nature has become a niche of the computational intelligence field. There are quite a number of classical contributions in this respect, which include artificial neural networks (ANN), genetic algorithm (GA), ant colony optimization (ACO), cellular automata (CA) and artificial immune system (AIS). In the spirit of drawing inspiration from nature, our laboratory developed a modular robot modelled after a marine dwelling organism called the brittle star. The robot consists of independent modules with each module incorporating an onboard microcontroller for governing the behaviour of the module, actuator for inducing motion, and touch sensors for feeling the environment. Robot of such nature can be useful in search and rescue operations; for instance during earthquake the robot can be deployed to seek for survivors trapped under collapsed buildings which would otherwise be hazardous for human rescuers to reach. Before novel applications of the robot can be envisioned the fundamental issues of motion control needs to be addressed. While the notion of studying the motion characteristics of the brittle star and incorporating it into the robot is intuitive and insightful, it is nonetheless quite impractical. The reason for this stems from the fact that the range of motion of the highly agile arms of brittle star in an aqueous environment overwhelmingly surpasses the two-degree of freedom legs of the landlocked robot. Hence we turn to nature once again, and attempt to draw from the evolutionary phenomena as a driving force to evolve the robot to move in its environment pretty much the same way the biological organisms have been shaped over billions of years by adapting to their environments. Evolutionary algorithms are computational models, which capture the essence of evolution. Developed by John Holland in early 1970s (Holland, 1975), genetic algorithm (GA) is one of the widely adopted evolutionary algorithms. Inspired by biological adaptations, genetic algorithm is essentially a search technique used extensively to solve optimization related problems (Goldberg, 1989). The algorithm involves representation of candidate solutions to a problem using chromosomes also known as individuals. The initial randomly generated population of individuals is successively transformed based on their fitness by applying genetic operators