Miracle-dz/UniFAR-FTUs huggingface dataset:
Outil de prototypage pour la conception et l'evaluation d'interfaces utilisateur multimodales

Designing and implementing applications that can handle multiple recognition-based interaction technologies such as speech and gesture inputs is a difficult task. IMBuilder and MEngine are the two components of a new toolkit for rapidly creating and testing multimodal interface designs. First, an interaction model is specified in the form of a collection of finite state machines, using a simple graphical tool (IMBuilder). Then, this interaction model can be tested in a multimodal framework (MEngine) that automatically performs input recognition (speech and gesture) and modality integration. Developers can build complete multimodal applications without concerning themselves with the recognition engine internals and modality integration. Furthermore, several interaction models can be rapidly tested in order to achieve the best use and combination of input modalities with minimal implementation effort.
Cranial anatomy of the extinct amphisbaenian Rhineura hatcherii (Squamata, Amphisbaenia) based on high‐resolution X‐ray computed tomography

The fossilized skull of a small extinct amphisbaenian referable to Rhineura hatcherii Baur is described from high‐resolution X‐ray computed tomographic (HRXCT) imagery of a well‐preserved mature specimen from the Brule Formation of Badlands National Park, South Dakota. Marked density contrast between bones and surrounding matrix and at bone‐to‐bone sutures enabled the digital disarticulation of individual skull elements. These novel visualizations provide insight into the otherwise inaccessible three‐dimensionally complex structure of the bones of the skull and their relationships to one another, and to the internal cavities and passageways that they enclose. This study corrects several previous misidentifications of elements in the rhineurid skull and sheds light on skull construction generally in “shovel‐headed” amphisbaenians. The orbitosphenoids in R. hatcherii are paired and entirely enclosed within the braincase by the frontals; this is in contrast to the condition in many extant amphisbaenians, in which a large azygous orbitosphenoid occupies a topologically distinct area of the skull, closing the anterolateral braincase wall. Rhineura hatcherii retains a vestigial jugal and a partially fused squamosal, both of which are absent in many extant species. Sculpturing on the snout of R. hatcherii represents perforating canals conveying sensory innervation; thus, the face of R. hatcherii receives cutaneous innervation to an unprecedented degree. The HRXCT data (available at www.digimorph.org) corroborate and extend previous hypotheses that the mechanical organization of the head in Rhineura is organized to a large degree around its burrowing lifestyle. J. Morphol. © 2004 Wiley‐Liss, Inc.
Forty years of the Journal of Librarianship and Information Science: A quantitative analysis, Part I

This paper reports on the first part of a two-part quantitative analysis of volume 1—40 (1969—2008) of the Journal of Librarianship and Information Science (formerly the Journal of Librarianship). It provides an overview of the current state of LIS research journal publishing in the UK; a review of the publication and printing history of JoL/JOLIS, and of published descriptions and evaluations of its purpose and scope; and a summary of some results of the quantitative analysis, focusing on data of the kind that may be collected by directly examining the published issues of the journal itself. These results are informative in various ways about editors, document types, authors, authors’ institutions, and authors’ countries. A supplementary analysis of citations to and from the journal will be reported at a later date.
VLA-4 mediates CD3-dependent CD4+ T cell activation via the CS1 alternatively spliced domain of fibronectin

We previously showed that fibronectin (FN) synergized with anti-CD3 in induction of CD4+ T cell proliferation, and that VLA-5 acted as a functional FN receptor in a serum-free culture system. In the present study, we showed that VLA-4 is also involved in this CD3-dependent CD4 cell activation through its interaction with the alternatively spliced CS1 domain of FN. When highly purified CD4 cells were cultured on plates coated with anti-CD3 plus synthetic CS1 peptide-IgG conjugate, significant proliferation could be observed. Neither CS1 alone nor anti- CD3 alone induced this activation. This proliferation was completely blocked by anti-VLA beta 1 (4B4) and anti-VLA-4 (8F2), while anti-VLA-5 (monoclonal antibody [mAb] 16 and 2H6) had no effect. These data indicate that VLA-4 mediates CD3-dependent CD4 cell proliferation via the CS1 domain of FN. Anti-VLA-4 also partially (10-40%) inhibited CD4 cell proliferation induced by native FN plus anti-CD3, implying that the CS1 domain is active in the native plasma FN. However, this native FN-dependent proliferation was entirely abolished by addition of anti- VLA-5 alone. Moreover, when native FN-coated plates were pretreated with anti-FN (mAb 333), which blocks RGDS sites but not CS1 sites, no CD4 cell activation could be observed. These results strongly suggest that CD4 cell activation induced by plasma FN/anti-CD3 may be dependent on both VLA4/CS1 and VLA5/RGDS interactions, although the latter interaction may be required for function of the former.
CA3 size predicts the precision of memory recall

Significance How does the brain allow us to recall numerous life experiences despite there often being a high degree of similarity between memories? This is a key question in neuroscience. Moreover, there is also keen interest in understanding why some people are able to recall memories with greater clarity than other people. In this study, we identified a specific brain region, CA3, an area within a structure called the hippocampus, and a mechanism within it that helps to explain individual differences in recollection. These findings have relevance for all of us in elucidating memory muddles in general, in aging, and possibly also in conditions such as dementia, where confusion about the past is often evident. There is enduring interest in why some of us have clearer memories than others, given the substantial individual variation that exists in retrieval ability and the precision with which we can differentiate past experiences. Here we report novel evidence showing that variation in the size of human hippocampal subfield CA3 predicted the amount of neural interference between episodic memories within CA3, which in turn predicted how much retrieval confusion occurred between past memories. This effect was not apparent in other hippocampal subfields. This shows that subtle individual differences in subjective mnemonic experience can be accurately gauged from measurable variations in the anatomy and neural coding of hippocampal region CA3. Moreover, this mechanism may be relevant for understanding memory muddles in aging and pathological states.
Using Octrees to Detect Changes to Buildings and Trees in the Urban Environment from Airborne LiDAR Data

Abstract: Change detection is a major issue for urban area monitoring. In this paper, a new three-step point-based method for detecting changes to buildings and trees using airborne light detection and ranging (LiDAR) data is proposed. First, the airborne LiDAR data from two dates are accurately registered using the iterative closest point algorithm, and a progressive triangulated irregular network densification filtering algorithm is used to separate ground points from non-ground points. Second, an octree is generated from the non-ground points to store and index the irregularly-distributed LiDAR points. Finally, by comparing the LiDAR points from two dates and using the AutoClust algorithm, those areas of buildings and trees in the urban environment that have changed are determined effectively and efficiently. The key contributions of this approach are the development of a point-based method to effectively solve the problem of objects at different scales, and the establishment of rules to detect changes in buildings and trees to urban areas, enabling the use of the point-based method over large areas. To evaluate the proposed method, a series of experiments using aerial images are conducted. The results demonstrate that satisfactory performance can be obtained using the proposed approach.
Men's accounts of domestic violence

Domestic violence against men by their female partners is a much neglected area of attention. Sufficient data has emerged recently to suggest men suffer domestic violence more than previously acknowledged. The findings were that, overall, the men were hurt more by the emotional aspects than any physical violence. They found no dedicated support systems for male domestic violence victims.
Handling Mobility using Virtual Grid in Static Wireless Sensor Networks

Querying a data source and routing data towards sin k becomes a serious challenge in static wireless sens or networks if sink and/or data source are mobile. Many a times the eve nt to be observed either moves or spreads across wide area making mai nten nce of continuous path between source and sink a challenge . Also, sink can move while query is being issued or data is on its way towards sink. In this paper, we extend our already proposed Grid Based Data Dissemination (GBDD) scheme which is a virtual grid based topology management scheme restricting impact of mo ve ent of sink(s) and event(s) to some specific cells of a gr id. This obviates the need for frequent path modifications and hence main tains continuous flow of data while minimizing the network energy co nsumptions. Simulation experiments show significant improvement s in network energy savings and average packet delay for a packe t to r ach at sink. Keywords—Mobility in WSNs, virtual grid, GBDD, clustering.
Innovation in the knowing organization: a case study of an e-commerce initiative

This paper explores the dynamics of information‐ and knowledge‐based activities in one of the world’s leading foreign exchange banks and its development of an innovative online trading system. These activities are analyzed using the framework of “the knowing organization,” which postulates that learning and innovation in organizations result from managing holistically the activities of sensemaking, knowledge creation, and decision‐making (Choo, 1998, 2002). In sensemaking, project members at the bank were driven by their shared beliefs about the competition, customers and technology to enact the challenge of building an online dealing system. Knowledge creation focused on filling perceived gaps, and involved both expanding non‐traditional capabilities within the group and acquiring expertise from outside the group. Decision making at the enterprise level to approve the project was formal and procedural, while decision making at the operational level was open and entrepreneurial. As predicted by the model, the interactions between these activities were vital. The outcome of sensemaking provided the context for knowledge creation and decision making, while the results of knowledge creation provided expanded resources for decision making. The three sets of activities were integrated through strong leadership, group norms of trust and openness, and a set of shared vision and values.
Phase II Trial of Bevacizumab and Irinotecan in Recurrent Malignant Glioma

Purpose: Recurrent grade III-IV gliomas have a dismal prognosis with minimal improvements in survival seen following currently available salvage therapy. This study was conducted to determine if the combination of a novel antiangiogenic therapy, bevacizumab, and a cytotoxic agent, irinotecan, is safe and effective for patients with recurrent grade III-IV glioma. Experimental Design: We conducted a phase II trial of bevacizumab and irinotecan in adults with recurrent grade III-IV glioma. Patients with evidence of intracranial hemorrhage on initial brain magnetic resonance imaging were excluded. Patients were scheduled to receive bevacizumab and irinotecan i.v. every 2 weeks of a 6-week cycle. Bevacizumab was administered at 10 mg/kg. The dose of irinotecan was determined based on antiepileptic use: patients taking enzyme-inducing antiepileptic drugs received 340 mg/m2, whereas patients not taking enzyme-inducing antiepileptic drugs received 125 mg/m2. Toxicity and response were assessed. Results: Thirty-two patients were assessed (23 with grade IV glioma and 9 with grade III glioma). Radiographic responses were noted in 63% (20 of 32) of patients (14 of 23 grade IV patients and 6 of 9 grade III patients). The median progression-free survival was 23 weeks for all patients (95% confidence interval, 15-30 weeks; 20 weeks for grade IV patients and 30 weeks for grade III patients). The 6-month progression-free survival probability was 38% and the 6-month overall survival probability was 72%. No central nervous system hemorrhages occurred, but three patients developed deep venous thromboses or pulmonary emboli, and one patient had an arterial ischemic stroke. Conclusions: The combination of bevacizumab and irinotecan is an active regimen for recurrent grade III-IV glioma with acceptable toxicity.
Minimum-Distortion Isometric Shape Correspondence Using EM Algorithm

We present a purely isometric method that establishes 3D correspondence between two (nearly) isometric shapes. Our method evenly samples high-curvature vertices from the given mesh representations, and then seeks an injective mapping from one vertex set to the other that minimizes the isometric distortion. We formulate the problem of shape correspondence as combinatorial optimization over the domain of all possible mappings, which then reduces in a probabilistic setting to a log-likelihood maximization problem that we solve via the Expectation-Maximization (EM) algorithm. The EM algorithm is initialized in the spectral domain by transforming the sampled vertices via classical Multidimensional Scaling (MDS). Minimization of the isometric distortion, and hence maximization of the log-likelihood function, is then achieved in the original 3D euclidean space, for each iteration of the EM algorithm, in two steps: by first using bipartite perfect matching, and then a greedy optimization algorithm. The optimal mapping obtained at convergence can be one-to-one or many-to-one upon choice. We demonstrate the performance of our method on various isometric (or nearly isometric) pairs of shapes for some of which the ground-truth correspondence is available.
Alignment Link Projection Using Transformation-Based Learning

We present a new word-alignment approach that learns errors made by existing word alignment systems and corrects them. By adapting transformation-based learning to the problem of word alignment, we project new alignment links from already existing links, using features such as POS tags. We show that our alignment link projection approach yields a significantly lower alignment error rate than that of the best performing alignment system (22.6% relative reduction on English-Spanish data and 23.2% relative reduction on English-Chinese data).
Relationship Between Lipid Levels and Clinical Outcomes in the Long-Term Intervention With Pravastatin in Ischemic Disease (LIPID) Trial: To What Extent Is the Reduction in Coronary Events With Pravastatin Explained by On-Study Lipid Levels?

Background—The Long-Term Intervention with Pravastatin in Ischemic Disease (LIPID) trial showed that pravastatin significantly reduced mortality and coronary heart disease (CHD) events in 9014 patients with known CHD and total cholesterol 4.0 to 7.0 mmol/L at baseline. Secondary objectives included assessment of CHD event reduction according to lipid levels. Methods and Results—We investigated the relationships of baseline and on-study lipids with subsequent CHD events in separate Cox models. Treatment effect on CHD event reduction was examined by baseline lipids and after adjustment for on-study lipid levels. Baseline lipids were significant predictors of CHD events. The adjusted relative risk per mmol/L (on placebo) was 1.24 (P =0.004) for total cholesterol, 1.28 (P =0.002) for low-density lipoprotein cholesterol, and 0.52 (P =0.004) for high-density lipoprotein cholesterol. Apolipoproteins A1 and B were strong predictors (each P =0.001). Pravastatin reduced the risk of the composite outcome of fatal CHD or nonfatal myocardial infarction by 24% (95% confidence interval [CI], 15% to 32%) and the expanded end point of fatal CHD, nonfatal myocardial infarction, unstable angina, or coronary revascularization by 17% (95% CI, 10% to 24%). Similar relative effects were observed for different categories of baseline lipids. The proportion of treatment effect explained by on-study lipid levels was 67% (95% CI, 27% to 106%) for the composite and 97% (95% CI, 49% to 145%) for the expanded end point. The most important lipids associated with event reduction were apolipoprotein B, low-density lipoprotein cholesterol, and the combination of total and high-density lipoprotein cholesterol. Conclusions—Changes in lipid levels can explain all or most of the observed benefit of pravastatin. Some treatment effect may also be mediated through nonlipid changes.
Relationships in the Organization of Knowledge

Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing relationships in the organization of knowledge as the reading material.
Towards approximation during test of Integrated Circuits

In the recent years, Approximate Computing (AC) has emerged as a new paradigm for energy efficient design of Integrated Circuits (ICs). AC is based on the intuitive observation that, while performing exact computation requires a high amount of resources, allowing a selective approximation or an occasional relaxation of the specification can provide significant gains in energy efficiency. This work starts from the consideration that AC-based systems can intrinsically accept the presence of faulty hardware (i.e., hardware that can produce errors). In other words, an AC-based system does not need to be built using defect-free ICs. Under this assumption, we can relax test and reliability constraints of the manufactured ICs. One of the ways to achieve this goal is to test only for a subset of faults instead of targeting all possible faults. In this way, we can reduce the manufacturing cost since we reduce the number test patterns and thus the test time. We call this approach Approximate Test (AT). The main advantage is the fact that we do not need a prior knowledge of the application. Therefore, the proposed approach can be applied to any kind of IC, reducing the test time and increasing the yield. In this work, we aim at validating the proposed AT by comparing it with a functional approach. We present preliminary results on some simple case studies. The main goal is to show that by letting some faults undetected we can save test time without having a huge impact on the application quality.
Relationships among and Between Alcohol Consuption Rates, Alcohol Expectancies, and Early Recollections among Three Groups of College Males

Extensive documentation exists which firmly establishes the high use rates and disastrous consequences of alcohol consumption by university students. Use rates for this population have been linked to attitudes toward alcohol consumption, especially alcohol expectancies. Research to date on alcohol expectancies has shown differences in expectancies among various groups. However much of this research has been conducted without a theoretical basis, accomplishing little in explaining how beliefs and drinking behavior are related. The investigation was designed to explore the relationships among and between early recollections and alcohol expectancies and to explore how the contents of early recollections function in relation to expectancies in terms of alcohol consumption patterns among three groups of college males (student-athletes, fraternity men, and independents). The content of individuals' early recollections was analyzed and compared to expectancies and consumption rates for each of the three groups. The study addressed seven hypotheses regarding alcohol consumption rate comparisons, comparisons of consequences experienced as a result of alcohol consumption, comparisons of alcohol expectancies, and comparisons of reported content of early recollections. Multiple regression analysis was utilized to test the extent to which select early recollections and alcohol expectancy scores contributed to the explained variance in alcohol consumption patterns.
Inhibition of Streptococcus mutans adherence to saliva-coated hydroxyapatite by human secretory immunoglobulin A (S-IgA) antibodies to cell surface protein antigen I/II: reversal by IgA1 protease cleavage

The effect of human secretory immunoglobulin A (S-IgA) and serum antibodies to surface protein antigen (Ag) I/II on the adherence of Ag I/II-bearing Streptococcus mutans and of free Ag I/II to saliva-coated hydroxyapatite (SHA) was investigated. The inhibition by S-IgA of binding of both S. mutans and free Ag I/II to SHA was dependent on antibody to Ag I/II. Essentially no difference was found between S-IgA1 and S-IgA2 with respect to antibody-dependent inhibition of Ag I/II binding to SHA, but S-IgA1 inhibited S. mutans adherence more effectively than did either serum immunoglobulin A1 (IgA1) or IgG antibodies. The antiadherence effect of S-IgA was abrogated after cleavage by IgA1 protease. Purified Fab alpha fragments containing Ag I/II-binding activity enhanced the binding of free Ag I/II to SHA and showed greater binding to SHA than did intact S-IgA1. Despite its relative inability to interact with precoated SHA, S-IgA1 containing antibody to Ag I/II was readily incorporated into the salivary pellicle during coating, but this did not promote Ag I/II binding. These data suggest that S-IgA antibodies can inhibit the initial adherence of S. mutans to salivary pellicle-coated tooth surfaces in an adhesin-specific fashion, but the presence in the oral cavity of bacterial IgA1 proteases would potentially interfere with this antiadherence mechanism.
Dietary, Food Service, and Mealtime Interventions to Promote Food Intake in Acute Care Adult Patients

Malnutrition is common in acute care hospitals. During hospitalization, poor appetite, medical interventions, and food access issues can impair food intake leading to iatrogenic malnutrition. Nutritional support is a common intervention with demonstrated effectiveness. “Food first” approaches have also been developed and evaluated. This scoping review identified and summarized 35 studies (41 citations) that described and/or evaluated dietary, foodservice, or mealtime interventions with a food first focus. There were few randomized control trials. Individualized dietary treatment leads to improved food intake and other positive outcomes. Foodservices that promote point-of-care food selection are promising, but further research with food intake and nutritional outcomes is needed. Protected mealtimes have had insufficient implementation, leading to mixed results, while mealtime assistance, particularly provided by volunteers or dietary staff, appears to promote food intake. A few innovative strategies were identified but further research to develop and evaluate food first approaches is needed.