Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensor-Enhanced Mobility Prediction for Energy-Efficient Localization

Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-aware localization that adapts the sampling rate to target's mobility level. In this paper, an energy-aware adaptive localization system based on signal strength fingerprinting is designed, implemented, and evaluated. Promising to satisfy an application's requirements on positional accuracy, our system tries to adapt its sampling rate to reduce its energy consumption. The contribution of this paper is three-fold. (1) We have developed a model to predict the positional error of a real working positioning engine under different mobility levels of mobile targets, estimation error from the positioning engine, processing and networking delay in the location infrastructure, and sampling rate of location information. (2) In a real test environment, our energy-saving method solves the mobility estimation error problem by utilizing additional sensors on mobile targets. The result is that we can improve the prediction accuracy by as much as 37.01%. (3) We implemented our energy-saving methods inside a working localization infrastructure and conducted performance evaluation in a real office environment. Our performance results show as much as 49.76 % reduction in power consumption
Staff satisfaction with work, perceived quality of care and stress in elderly care: psychometric assessments and associations.

AIMS To evaluate validity and reliability of three questionnaires measuring 'work satisfaction', 'patient care' and 'staff health' for staff in elderly care and to study the relationship between staff members' satisfaction with work and perceived stress. BACKGROUND Increased workload, difficulties in recruiting and retaining nurses are reported in elderly care. Valid and reliable instruments measuring staffs' perceptions of work are needed. METHODS A convenience sample of 299 staff answered the questionnaires. RESULTS Factor analysis of 'work satisfaction' gave eight factors, 'patient care' four factors and 'staff health' two factors, explaining 52.2%, 56.4% and 56.8% of the variance. Internal consistency was mostly satisfactory. Multiple regression analysis revealed a model that explained 41% of the variance in perceived stress symptoms. CONCLUSIONS There was support for the instruments' validity and reliability. Older age, higher scores/satisfaction with workload, cooperation, expectations and demands, personal development and lower scores on internal motivation contributed to less stress.
Teaching Note—Incorporating Social Innovation Content Into Macro Social Work Education

The practice of social innovation offers promising approaches for addressing social issues. Although many social innovation strategies are congruent with macro social work theory and practice, some of the insights and tactics that have emerged in the social innovation field have the potential to strengthen current macro practice. Based on our experiences with the social innovation program at the Boston College School of Social Work, we focus on 5 aspects of the social innovation cycle and suggest social innovation content that can be incorporated into macro social work curriculum.
Hospitalized patients' participation and its impact on quality of care and patient safety.

OBJECTIVE To understand the extent to which hospitalized patients participate in their care, and the association of patient participation with quality of care and patient safety. DESIGN Random sample telephone survey and medical record review. SETTING US acute care hospitals in 2003. PARTICIPANTS A total of 2025 recently hospitalized adults. MAIN OUTCOME MEASURES Hospitalized patients reported participation in their own care, assessments of overall quality of care and the presence of adverse events (AEs) in telephone interviews. Physician reviewers rated the severity and preventability of AEs identified by interview and chart review among 788 surveyed patients who also consented to medical record review. RESULTS Of the 2025 patients surveyed, 99.9% of patients reported positive responses to at least one of seven measures of participation. High participation (use of >4 activities) was strongly associated with patients' favorable ratings of the hospital quality of care (adjusted OR: 5.46, 95% CI: 4.15-7.19). Among the 788 patients with both patient survey and chart review data, there was an inverse relationship between participation and adverse events. In multivariable logistic regression analyses, patients with high participation were half as likely to have at least one adverse event during the admission (adjusted OR = 0.49, 0.31-0.78). CONCLUSIONS Most hospitalized patients participated in some aspects of their care. Participation was strongly associated with favorable judgments about hospital quality and reduced the risk of experiencing an adverse event.
Transcriptome Analysis of Arabidopsis Wild-Type and gl3–sst sim Trichomes Identifies Four Additional Genes Required for Trichome Development

Transcriptome analyses have been performed on mature trichomes isolated from wild-type Arabidopsis leaves and on leaf trichomes isolated from the gl3–sst sim double mutant, which exhibit many attributes of immature trichomes. The mature trichome profile contained many highly expressed genes involved in cell wall synthesis, protein turnover, and abiotic stress response. The most highly expressed genes in the gl3–sst sim profile encoded ribosomal proteins and other proteins involved in translation. Comparative analyses showed that all but one of the genes encoding transcription factors previously found to be important for trichome formation, and many other trichome-important genes, were preferentially expressed in gl3–sst sim trichomes. The analysis of genes preferentially expressed in gl3–sst sim led to the identification of four additional genes required for normal trichome development. One of these was the HDG2 gene, which is a member of the HD–ZIP IV transcription factor gene family. Mutations in this gene did not alter trichome expansion, but did alter mature trichome cell walls. Mutations in BLT resulted in a loss of trichome branch formation. The relationship between blt and the phenotypically identical mutant, sti, was explored. Mutations in PEL3, which was previously shown to be required for development of the leaf cuticle, resulted in the occasional tangling of expanding trichomes. Mutations in another gene encoding a protein with an unknown function altered trichome branch formation.
Expanded Polytetrafluoroethylene Reinforcement Material in Glaucoma Drain Surgery

PurposeTo determine whether a synthetic material, expanded polytetrafluoroethylene (E-PTFE), can be used successfully as a reinforcement material over the tubes of glaucoma drainage implants. MethodsPatches of E-PTFE were sutured over the tubes of Baerveldt glaucoma drains implanted in the eyes of New Zealand white rabbits. Two material thicknesses were tested: 0.5 mm in four eyes and 0.25 mm in five eyes. Rabbit donor scleral patches were used in five eyes as the control. Total ocular health and intraocular pressure were monitored every 2 weeks after the procedure. Six months after implantation, the eyes were harvested and analyzed histologically. ResultsTwo of the four eyes that received 0.5-mm thick E-PTFE patches showed some conjunctival melting over the anterior corners of the material close to the limbus. All five eyes that received 0.25-mm thick E-PTFE patches showed a healthy cellular wound healing response and no conjunctival melting. Cellular infiltration and collagen deposition in the E-PTFE materials showed integration of the patch material into the surrounding tissue. In the control eyes, marked thinning and resorption of the donor sclera immediately above the drainage tube was noted. ConclusionThin (0.25 mm) E-PTFE patches were well tolerated in all rabbit eyes tested. Thin E-PTFE should be investigated further as a functional alternative to donor sclera for reinforcement in glaucoma drain surgery.
Ordinary glomeruli in the antennal lobe of male and female tortricid moth Grapholita molesta (Busck) (Lepidoptera: Tortricidae) process sex pheromone and host-plant volatiles

SUMMARY Both sexes of Grapholita molesta, a key pest of stone fruits, are able to detect host-plant volatiles and the sex pheromone emitted by females, and to modify their behaviour accordingly. How olfactory information is processed in the central nervous system is unknown. Intracellular recordings and stainings were used to characterize antennal lobe (AL) neuron responses to single pheromone components, a behaviourally active blend of five peach volatiles and a pear-fruit ester. AL neurons with different response patterns responded to pheromone components and plant volatiles. In males more neurons responded specifically to the main pheromone component than in females, whereas neurons responding to all three pheromone components were more abundant in females. Neurons responding to all three pheromone components often responded also to the tested plant volatiles in both sexes. Responses to all pheromone components were dose dependent in males and females, but dose–response relationships differed between neurons and tested pheromone components. Among the five AL projection neurons identified neuroanatomically in males, no arborizations were observed in the enlarged cumulus (Cu), although all of them responded to pheromone compounds. In one of two stained projection neurons in females, however, the glomerulus, which is thought to be homologous to the Cu, was targeted. The processing of pheromone information by ordinary glomeruli rather than by the macroglomerular complex is thus a striking feature of this species, indicating that pheromone and plant volatile processing are not entirely separate in this tortricid moth AL. However, the absence of recorded pheromone responses in the Cu needs to be confirmed.
Unexpected results in automatic list extraction on the web

The discovery and extraction of general lists on the Web continues to be an important problem facing theWeb mining community. There have been numerous studies that claim to automatically extract structured data (i.e. lists, record sets, tables, etc.) from the Web for various purposes. Our own recent experiences have shown that the list-finding methods used as part of these larger frameworks do not generalize well and therefore ought to be reevaluated. This paper briefly describes some of the current approaches, and tests them on various list-pages. Based on our findings, we conclude that analyzing aWeb page's DOM-structure is not sufficient for the general list finding task.
Sedimentary Environment Influences the Effect of an Infaunal Suspension Feeding Bivalve on Estuarine Ecosystem Function

The suspension feeding bivalve Austrovenus stutchburyi is a key species on intertidal sandflats in New Zealand, affecting the appearance and functioning of these systems, but is susceptible to several environmental stressors including sedimentation. Previous studies into the effect of this species on ecosystem function have been restricted in space and time, limiting our ability to infer the effect of habitat change on functioning. We examined the effect of Austrovenus on benthic primary production and nutrient dynamics at two sites, one sandy, the other composed of muddy-sand to determine whether sedimentary environment alters this key species' role. At each site we established large (16 m2) plots of two types, Austrovenus addition and removal. In winter and summer we deployed light and dark benthic chambers to quantify oxygen and nutrient fluxes and measured sediment denitrification enzyme activity to assess denitrification potential. Rates of gross primary production (GPP) and ammonium uptake were significantly increased when Austrovenus was added, relative to removed, at the sandy site (GPP, 1.5 times greater in winter and summer; ammonium uptake, 8 times greater in summer; 3-factor analysis of variance (ANOVA), p<0.05). Denitrification potential was also elevated in Austrovenus addition plots at the sandy site in summer (by 1.6 times, p<0.1). In contrast, there was no effect of Austrovenus treatment on any of these variables at the muddy-sand site, and overall rates tended to be lower at the muddy-sand site, relative to the sandy site (e.g. GPP was 2.1 to 3.4 times lower in winter and summer, respectively, p<0.001). Our results suggest that the positive effects of Austrovenus on system productivity and denitrification potential is limited at a muddy-sand site compared to a sandy site, and reveal the importance of considering sedimentary environment when examining the effect of key species on ecosystem function.
Data Compression Using Dynamic Markov Modelling

A method of dynamically constructing Markov chain models that describe the characteristics of binary messages is developed. Such models can be used to predict future message characters and can therefore be used as a basis for data compression. To this end, the Markov modelling technique is combined with Guazzo's arithmetic coding scheme to produce a powerful method of data compression. The method has the advantage of being adaptive: messages may be encoded or decoded with just a single pass through the data. Experimental results reported here indicate that the Markov modelling approach generally achieves much better data compression than that observed with competing methods on typical computer data.
Small molecule regulators of autophagy identified by an image-based high-throughput screen

Autophagy is a lysosome-dependent cellular catabolic mechanism mediating the turnover of intracellular organelles and long-lived proteins. Reduction of autophagy activity has been shown to lead to the accumulation of misfolded proteins in neurons and may be involved in chronic neurodegenerative diseases such as Huntington's disease and Alzheimer's disease. To explore the mechanism of autophagy and identify small molecules that can activate it, we developed a series of high-throughput image-based screens for small-molecule regulators of autophagy. This series of screens allowed us to distinguish compounds that can truly induce autophagic degradation from those that induce the accumulation of autophagosomes as a result of causing cellular damage or blocking downstream lysosomal functions. Our analyses led to the identification of eight compounds that can induce autophagy and promote long-lived protein degradation. Interestingly, seven of eight compounds are FDA-approved drugs for treatment of human diseases. Furthermore, we show that these compounds can reduce the levels of expanded polyglutamine repeats in cultured cells. Our studies suggest the possibility that some of these drugs may be useful for the treatment of Huntington's and other human diseases associated with the accumulation of misfolded proteins.
Composite nonlinear feedback-based bounded formation control of multi-quadrotor systems

This paper presents a bounded formation controller for multiple quadrotors (UAVs) system with leader-follower structure. Considering the actuator saturation of the quadrotors, the hyperbolic function is used in the formation controller design. The composite nonlinear feedback is integrated in the formation controller in order to improve the formation performance. The simulation and experimental results show that the formation task is achieved with small overshoot and rapid response speed.
Rekindling values in participatory design

Drawing from our PD projects, this paper shows how designers enact their appreciative judgment of values by engaging in a dynamic and dialogical process of cultivating the emergence of values, developing them, and supporting their grounding. The widespread of Participatory Design (PD), have meant that different approaches and conceptualization exist in this field today. We argue that one fruitful approach is to rekindle a concern for values in PD. This requires focusing upon values as the engine that drives our activities in PD.
Reasoning of feature models from derived features

When using product lines, whose variability models are based on derived features, e.g., Simulink variant objects, the dependencies among the features are only described implicitly. This makes it difficult to verify the mapping of the features to the solution space and to create a comprehensive overview of the feature dependencies like in a feature model. In this paper, an OWL-based approach is presented, which permits the automatic verification of the feature mapping and an automatic feature model synthesis for derived features using OWL reasoning and formal concept analysis.
Bidirectional Control of Reversal in a Dual Action Task by Direct and Indirect Pathway Activation in the Dorsolateral Striatum in Mice

The striatum is a key brain structure involved in the processing of cognitive flexibility, which results from the balance between the flexibility demanded for novel learning of motor actions and the inflexibility required to preserve previously learned actions. In particular, the dorsolateral portion of the striatum (DLS) is engaged in the learning of action sequence. This process is temporally driven by fine adjustments in the function of the two main neuronal populations of the striatum, known as the direct pathway medium spiny neurons (dMSNs) and indirect pathway medium spiny neurons (iMSNs). Here, using optogenetics, behavioral, and electrophysiological tools, we addressed the relative role of both neuronal populations in the acquisition of a reversal dual action sequence in the DLS. While the channelrhodopsin-induced activation of dMSNs and iMSNs of the DLS did not induce changes in the learning rate of the sequence, the specific activation of the dMSNs of the DLS facilitated the acquisition of a reversal dual action sequence; the activation of iMSNs induced a significant deficit in the acquisition of the same task. Taken together our results indicate an antagonistic relationship between dMSNs and iMSNs on the acquisition of a reversal dual action sequence.
Efficient Filtering on Hidden Document Streams

Many online services like Twitter and GNIP offer streaming programming interfaces that allow real-time information filtering based on keyword or other conditions. However, all these services specify strict access constraints, or charge a cost based on the usage. We refer to such streams as ``hidden streams'' to draw a parallel to the well-studied hidden Web, which similarly restricts access to the contents of a database through a querying interface. At the same time, the users' interest is often captured by complex classification models that, implicitly or explicitly, specify hundreds of keyword-based rules, along with the rules' accuracies. In this paper, we study how to best utilize a constrained streaming access interface to maximize the number of retrieved relevant items, with respect to a classifier, expressed as a set of rules. We consider two problem variants. The static version assumes that the popularity of the keywords is known and constant across time. The dynamic version lifts this assumption, and can be viewed as an exploration-vs.-exploitation problem. We show that both problems are NP-hard, and propose exact and bounded approximation algorithms for various settings, including various access constraint types. We experimentally evaluate our algorithms on real Twitter data.
An Orally Applicable Shiga Toxin Neutralizer Functions in the Intestine To Inhibit the Intracellular Transport of the Toxin

ABSTRACT Shiga toxin 2 (Stx2) is a major virulence factor in infections with Stx-producing Escherichia coli (STEC), which causes gastrointestinal diseases and sometimes fatal systemic complications. Recently, we developed an oral Stx2 inhibitor known as Ac-PPP-tet that exhibits remarkable therapeutic potency in an STEC infection model. However, the precise mechanism underlying the in vivo therapeutic effects of Ac-PPP-tet is unknown. Here, we found that Ac-PPP-tet completely inhibited fluid accumulation in the rabbit ileum caused by the direct injection of Stx2. Interestingly, Ac-PPP-tet accumulated in the ileal epithelial cells only through its formation of a complex with Stx2. The formation of Ac-PPP-tet-Stx2 complexes in cultured epithelial cells blocked the intracellular transport of Stx2 from the Golgi apparatus to the endoplasmic reticulum, a process that is essential for Stx2 cytotoxicity. Thus, Ac-PPP-tet is the first Stx neutralizer that functions in the intestine by altering the intracellular transport of Stx2 in epithelial cells.
Art Education and the Encouragement of Affective and Cognitive Empathy in Early Childhood

ART EDUCATION AND THE ENCOURAGEMENT OF AFFECTIVE AND COGNITIVE EMPATHY IN EARLY CHILDHOOD By Luke Meeken, BFA A thesis submitted in partial fulfillment of the requirements for the degree of Master of Art Education at Virginia Commonwealth University. Virginia Commonwealth University, 2013. Major Director: Dr. Sara Wilson McKay, Art Education Chair, School of the Arts This study constructs a theoretical framework for exploring the relationship between art education practice and the development of empathy in early childhood. In this study, I construct a schema for the experience of empathy in kindergarten-aged students, derived from the work of Martin Hoffman, Maurice Merleau-Ponty, and Vittorio Gallese, which acknowledges both the affective and cognitive dimensions of the experience of empathy. This schema is examined within the context of aesthetic and artistic experience, as distinguished from each other by John Dewey. I articulate several ways that art education’s cultivation of subtle aesthetic perception may encourage affective empathy, and its cultivation of imaginative cognition may encourage cognitive empathy. Suggestions are made for projects and practice in the early childhood classroom.
Chinese Informal Word Normalization: an Experimental Study

We study the linguistic phenomenon of informal words in the domain of Chinese microtext and present a novel method for normalizing Chinese informal words to their formal equivalents. We formalize the task as a classification problem and propose rule-based and statistical features to model three plausible channels that explain the connection between formal and informal pairs. Our two-stage selection-classification model is evaluated on a crowdsourced corpus and achieves a normalization precision of 89.5% across the different channels, significantly improving the state-of-the-art.
Deep learning the dynamic appearance and shape of facial action units

Spontaneous facial expression recognition under uncontrolled conditions is a hard task. It depends on multiple factors including shape, appearance and dynamics of the facial features, all of which are adversely affected by environmental noise and low intensity signals typical of such conditions. In this work, we present a novel approach to Facial Action Unit detection using a combination of Convolutional and Bi-directional Long Short-Term Memory Neural Networks (CNN-BLSTM), which jointly learns shape, appearance and dynamics in a deep learning manner. In addition, we introduce a novel way to encode shape features using binary image masks computed from the locations of facial landmarks. We show that the combination of dynamic CNN features and Bi-directional Long Short-Term Memory excels at modelling the temporal information. We thoroughly evaluate the contributions of each component in our system and show that it achieves state-of-the-art performance on the FERA-2015 Challenge dataset.