Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of the novel antidepressant agomelatine for anxiety symptoms in major depression

Anxiety in major depression is associated with increased morbidity. The antidepressant, agomelatine, which acts as an agonist at melatonin MT1 and MT2 receptors and as an antagonist at serotonin 5‐HT2C receptors, has demonstrated efficacy and safety in both major depression and generalized anxiety disorder. Here, we investigated the efficacy of agomelatine in anxious depression.
Ethics Certification of Health Information Professionals

Summary Objectives: To provide a model for ensuring the ethical acceptability of the provisions that characterize the interjurisdictional use of eHealth, telemedicine, and associated modalities of health care delivery that are currently in place. Methods: Following the approach initiated in their Global Protection of Health Data project within the Security in Health Information Systems (SiHIS) working group of the International Medical Informatics Association (IMIA), the authors analyze and evaluate relevant privacy and security approaches that are intended to stem the erosion of patients' trustworthiness in the handling of their sensitive information by health care and informatics professionals in the international context. Results: The authors found that while the majority of guidelines and ethical codes essentially focus on the role and functioning of the institutions that use EHRs and information technologies, little if any attention has been paid to the qualifications of the health informatics professionals (HIPs) who actualize and operate information systems to deal with or address relevant ethical issues. Conclusion: The apparent failure to address this matter indicates that the ethical qualification of HIPs remains an important security issue and that the Global Protection of Health Data project initiated by the SiHIS working group in 2015 should be expanded to develop into an internationally viable method of certification. An initial model to this effect is sketched and discussed.
Optic disc diameter increases during acute elevations of intraocular pressure.

PURPOSE To evaluate optic nerve diameter changes in glaucomatous and nonglaucomatous eyes during transient elevation of intraocular pressure (IOP). METHODS This prospective experimental study included 100 subjects: 38 with glaucoma and 62 without glaucoma. Elevation of IOP to an average of 64 mm Hg for less than 30 seconds was induced in one eye of all subjects by means of a modified LASIK suction ring. The optic nerve heads were imaged before and during the elevation. RESULTS During IOP elevation, optic disc area and linear disc measurements increased by a small but significant amount (3.89%, P < 0.0001 and 0.96%, P = 0.01, respectively). Distances between retinal landmarks did not change significantly (P = 0.25). A smaller optic disc at baseline (P = 0.004) and increased central corneal thickness (CCT; P = 0.011) were associated with a greater increase in disc area relative to other fundus dimensions during IOP elevation. Disc area increased less in patients with glaucoma (P = 0.015). In a multivariate model including age, glaucoma status, CCT, and baseline disc area, there was a small but significant negative correlation between disc area enlargement and baseline optic disc diameter (P = 0.017). CONCLUSIONS Transient elevation of IOP in adult eyes resulted in increases in disc area and linear disc dimensions, but not in retinal dimensions. The degree of enlargement appears to be less in patients with glaucoma than without and greater with increased corneal thickness. A multivariate model showed that the amount of disc area increase was inversely proportional to baseline disc area but was not related to glaucoma status or CCT. (ClinicalTrials.gov number, NCT00328835).
Analysis of various techniques of feature extraction on skin lesion images

Skin lesions are any abnormal pattern in the skin of a patient occurring due to some disease, accident etc. Skin lesions images are very important for the doctors to diagnosis disease and treat the patients. Image processing techniques are applied on these images to improve the quality of the image in terms of visibility of the different feature in the image. Enhanced images aid the doctors and healthcare provider to provide better treatment to the patients. Feature extraction of skin lesion images is very significant for classification of skin lesion which helps in identification of skin lesions. Many techniques have been proposed for feature extraction of images. This paper provides a brief overview of the feature extraction techniques used in skin lesion images and observes some areas in which further work can be done.
Stimulus Specificity of Gene Expression Programs Determined by Temporal Control of IKK Activity

, 1857 (2005); 309 Science et al. Shannon L. Werner Temporal Control of IKK Activity Stimulus Specificity of Gene Expression Programs Determined by This copy is for your personal, non-commercial use only. clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): October 1, 2013 www.sciencemag. org (this information is current as of The following resources related to this article are available online at http://www.sciencemag.org/content/309/5742/1857.full.html version of this article at: including high-resolution figures, can be found in the online Updated information and services, http://www.sciencemag.org/content/suppl/2005/09/21/309.5742.1857.DC1.html can be found at: Supporting Online Material http://www.sciencemag.org/content/309/5742/1857.full.html#related found at: can be related to this article A list of selected additional articles on the Science Web sites http://www.sciencemag.org/content/309/5742/1857.full.html#ref-list-1 , 5 of which can be accessed free: cites 16 articles This article 144 article(s) on the ISI Web of Science cited by This article has been http://www.sciencemag. org/content/309/5742/1857.full. html#related-urls 67 articles hosted by HighWire Press; see: cited by This article has been http://www.sciencemag. org/cgi/collection/cell_biol Cell Biology subject collections: This article appears in the following
Fast object tracking in digital video

This paper presents a fast semi-automatic semantic object tracking algorithm for digital video. The proposed method consists of two steps, namely, intra-frame object extraction and the inter-frame object tracking. For the intra-frame segmentation, we try to minimize the human intervention by exploiting the automatic homogenous region segmentation. Then, to achieve a fast inter-frame object tracking, we propose to use 1-D projected motion estimation and an improved flooding method for the watershed algorithm.
Automatic and threshold-free evaluation of 3D building roof reconstruction techniques

Although a large number of building roof reconstruction techniques from the remotely sensed data have been proposed, there is a serious lack in standard and automatic evaluation system. The manual evaluation systems are based on human judgment and so may be biased. Moreover, the application of such an evaluation system on a large data set requires a considerable amount of human involvement. In addition, the threshold-based evaluation systems that employ one or more thresholds while making correspondences between the detection and reference sets are also subjective since there is no unique way to choose the thresholds. This paper proposes an automatic and threshold-free evaluation system using the centre distances between the detected and reference entities. It neither requires any human involvement nor uses any thresholds. As a result, the proposed evaluation system can be exploited for a bias free evaluation of any roof reconstruction techniques, even on large data sets.
A hierarchical semantic extraction model for Chinese counseling question based on neural networks

In the Chinese natural language processing, this paper proposes a hierarchical semantic learning model based on the neural network model for the semantic understanding of the counseling question. The attention mechanism is used to integrate the factual part of the original problem into the core question part and it can enrich the final representation of the semantic information and highlight the main features. Experiments show that the hierarchical learning structure can extract the structural features of the counseling question well, and contains more semantic information than the traditional structure which directly learns the problem, so that the final vector has higher similarity in the space.
A Novel Biomimetic Approach to Repair Enamel Cracks/Carious Damages and to Reseal Dentinal Tubules by Amorphous Polyphosphate

Based on natural principles, we developed a novel toothpaste, containing morphogenetically active amorphous calcium polyphosphate (polyP) microparticles which are enriched with retinyl acetate (“a-polyP/RA-MP”). The spherical microparticles (average size, 550 ± 120 nm), prepared by co-precipitating soluble Na-polyP with calcium chloride and supplemented with retinyl acetate, were incorporated into a base toothpaste at a final concentration of 1% or 10%. The “a-polyP/RA-MP” ingredient significantly enhanced the stimulatory effect of the toothpaste on the growth of human mesenchymal stem cells (MSC). This increase was paralleled by an upregulation of the MSC marker genes for osteoblast differentiation, collagen type I and alkaline phosphatase. In addition, polyP, applied as Zn-polyP microparticles (“Zn-a-polyP-MP”), showed a distinct inhibitory effect on growth of Streptococcus mutans, in contrast to a toothpaste containing the broad-spectrum antibiotic triclosan that only marginally inhibits this cariogenic bacterium. Moreover, we demonstrate that the “a-polyP/RA-MP”-containing toothpaste efficiently repairs cracks/fissures in the enamel and dental regions and reseals dentinal tubules, already after a five-day treatment (brushing) of teeth as examined by SEM (scanning electron microscopy) and semi-quantitative EDX (energy-dispersive X-ray spectroscopy). The occlusion of the dentin cracks by the microparticles turned out to be stable and resistant against short-time high power sonication. Our results demonstrate that the novel toothpaste prepared here, containing amorphous polyP microparticles enriched with retinyl acetate, is particularly suitable for prevention/repair of (cariogenic) damages of tooth enamel/dentin and for treatment of dental hypersensitivity. While the polyP microparticles function as a sealant for dentinal damages and inducer of remineralization processes, the retinyl acetate acts as a regenerative stimulus for collagen gene expression in cells of the surrounding tissue, the periodontium.
Collaborative Live Media Curation: Shared Context for Participation in Online Learning

In recent years, online education's reach and scale have increased through new platforms for large and small online courses. However, these platforms often rely on impoverished modalities, which provide limited support for participation in social learning experiences. We present Collaborative Live Media Curation (CLMC), a new medium for sharing context and participation in online learning. CLMC involves collaborative, synchronous collection, creation, and assemblage of web media, including images, text, video, and sketch. CLMC integrates live media including streaming video, screenshares, audio, and text chat. We deploy and study LiveMâché, a CLMC technology probe, in four situated online learning contexts. We discovered student and instructor strategies for sharing context and participating including creating curations in advance, sketching to illustrate and gesture, real-time transformations, sharing perspective, and assembling live streams. We develop implications through live experience patterns, which describe how spatial and computing structures support social activities.
Mapping a Relational Database into a RDF Repository

Lately, we hear more and more about Semantic Web and the benefits that it brings to the current Web. But just a few companies are adopting solutions based on semantic web technologies, one reason being that their currently information technology systems are generally based on data stored in relational databases. Replicating a relational database, only with the public information, in a RDF repository, would require additional efforts for the company. This paper presents a solution for mapping a relational database, used to manage the human resources of a company, into a RDF repository, which offers portability and easy integration with other knowledge bases and which can be useful to manage public information about employees. Our approach also highlights the integration of the resulting ontology with PHP to provide a user interface.
Antijamming performance of a multicarrier direct-sequence spread-spectrum system

Uncoded antijamming capability of the multicarrier direct-sequence spread-spectrum system proposed by Kondo and Milstein (see ibid. vol.44, p.238-46, 1996 ) is analyzed. Joint pulse/partial-band noise jamming is considered with various subcarrier demodulator output combining schemes. We find that full-band pulse jamming maximizes the error probability for all cases considered. With Rayleigh fading and maximal-ratio combining, the multicarrier system achieves performance very close to that of the single-carrier system without fading even with a very small number of subcarriers.
Applying VHB acrylic elastomer as a cell culture and stretchable substrate

ABSTRACT Elastomers are flexible polymers with low young’s modulus and high failure strain. VHB, considered as an acrylic elastomer, is widely used in smart materials due to its dielectric and electromechanical actuating properties. To the best of our knowledge, this polymer has not been applied as cell culture and stretching substrate and this role has played by PDMS. Herein, we present the structural properties of VHB vs. PDMS and then prove the safety of using this polymer as cell culture substrate by different viability assays. Moreover, we analyzed the effect of stretching of VHB substrate on the cultured cells. GRAPHICAL ABSTRACT
Segmentation of retinal blood vessel based on Radon Fourier Transform and Gaussian Process

Diabetic retinopathy is one of the most common cause of blindness and it can be prevented if detected in early stages. Accurate segmentation of retinal vessels is momentous for pathological analysis and plays a decisive role in early diagnosis of diabetes. Accordingly, the extraction of the centerlines of tubular objects is an invaluable task to be achieved. In previous studies, assorted methods have been presented for retinal blood vessel segmentation. In this research, we propose a new approach to track the vessel and implement the segmentation based on Gaussian Process and Radon Fourier Transform. The curvature through vessel is assumed as a Gaussian Process with zero mean. Specific features are extracted by Radon Fourier Transform to be considered as inputs of Gaussian Process. As a final remark, the kernelized covariance matrix is learned from training data to estimate the vessel direction. Moreover, the bifurcations are Determined using multiple GPs. Since the Radon Transform is robust against noise, proposed algorithm is noise robust too, and performs well in comparison to the other tested methods. The results demonstrate that the proposed method successfully deals with the bifurcations, and tracks the thin vessels with a high accuracy. The algorithm can perform quite well on a variety of tubular objects. Consequently, it can be developed for other researches as future work. Comparisons are applied on the publicly available DRIVE and STARE databases.
Connection splitting: an efficient way of reducing call blocking in ATM

In this paper, we propose a technique for reducing ATM call blocking which is achieved by splitting wideband connections into multiple low-bandwidth subconnections and routing them independently through the network. The essence of the mechanism is to use fragmented network bandwidth for supporting calls which are otherwise blocked by conventional routing. ATM bandwidth fragmentation may take place in a situation when a connection occupies a part of a link bandwidth and the rest of it is not sufficient for another connection. The unused bandwidth becomes fragmented. We provide a detailed cell-level design for the split scheduling algorithms which use a special type of ATM resource management (RM) cell for maintaining cell ordering. The analysis and simulation of the scheduling algorithms show that connection splitting is capable of delivering acceptable cell-level quality of service to multiple traffic classes. We also deliver a solution for implementing splitting without requiring any protocol changes within the network. We show that it is sufficient to modify the data and control plane protocols only within the end-stations. Finally, a set of routing level simulations for splitting demonstrate that splitting can reduce blocking by up to 45% for high bandwidth calls in a moderately loaded network. Considering that it does not incur any network expenses and protocol changes, we propose splitting as an efficient means for reducing connection blocking.
The Use of Private Mobile Phones at War: Accounts From the Donbas Conflict

Studying technology use in unstable and life-threatening conditions can help highlight assumptions of use built into technologies and foreground contradictions in the design of devices and services. This paper provides an account of how soldiers, volunteers, and civilians use mobile technologies in wartime, reporting on fieldwork conducted in Western Russia and Eastern Ukraine with people close to or participating directly in the armed conflict in the Donbas region. We document how private mobile phones and computers became a crucial but ambiguous infrastructure despite their lack of durability in extreme conditions of a military conflict, and their government and military surveillance potential. Our participants rely on a combination of myths and significant technical knowledge to negotiate the possibilities mobile technologies offer and the life-threatening reality of enemy surveillance they engender. We consider the problems of always-on always-connected devices under conditions of war and surveillance and our responsibilities as HCI practitioners in the design of social technologies.
Quasi-static legged locomotors as nonholonomic systems

We show how motion planning and control ideas for smooth nonholonomic systems can be extended to legged quasi-static locomotion via the notion of "stratified" configuration spaces and "stratified" control theory. We particularly consider "minimalist" legged systems, which are not well handled by conventional theories based on foot placement. We briefly discuss controllability issues, and then present a motion planning algorithm for stratified systems. The method does not depend upon the number of legs, nor is it based on foot placement concepts.
Cell-based update algorithm for occupancy grid maps and hybrid map for ADAS on embedded GPUs

Advanced Driver Assistance Systems (ADASs), such as autonomous driving, require the continuous computation and update of detailed environment maps. Today's standard processors in automotive Electronic Control Units (ECUs) struggle to provide enough computing power for those tasks. Here, new architectures, like Graphics Processing Units (GPUs) might be a promising accelerator candidate for ECUs. Current algorithms have to be adapted to these new architectures when possible, or new algorithms have to be designed to take advantage of these architectures. In this paper, we propose a novel parallel update algorithm, called cell-based update algorithm for occupancy grid maps, which exploits the highly parallel architecture of GPUs and overcomes the shortcomings of previous implementations based on the Bresenham algorithm on such architectures. A second contribution is a new hybrid map, which takes the advantages of the classic occupancy grid map and reduces the computational effort of those. All algorithms are parallelized and implemented on a discrete GPU as well as on an embedded GPU (Nvidia Tegra K1 Jetson board). Compared with the state-of-the-art Bresenham algorithm as used in the case of occupancy grid maps, our parallelized cell-based update algorithm and our proposed hybrid map approach achieve speedups of up to 2.5 and 4.5, respectively.
OptiMo: Optimization-Guided Motion Editing for Keyframe Character Animation

The mission of animators is to create nuanced, high-quality character motions. To achieve this, the careful editing of animation curves---curves that determine how a series of keyframed poses are interpolated over time---is an important task. Manual editing affords full and precise control, but requires tedious and nonintuitive trials and errors. Numerical optimization can automate such exploration; however, automatic solutions cannot always be perfect, and it is difficult for animators to control optimization owing to its black-box behavior. In this paper, we present a new framework called optimization-guided motion editing, which is aimed at maintaining a sense of full control while utilizing the power of optimization. We have designed interactions and developed a set of mathematical formulations to enable them. We discuss the framework's potential by demonstrating several usage scenarios with our proof-of-concept system, named OptiMo.
Associations between health insurance and generalized periodontal disease in a study population of Gullah African Americans with type-2 diabetes.

OBJECTIVES To explore the relationship between health insurance status (Medicare, Medicaid, private, and uninsured) and generalized periodontal disease (GPD) among a study population (N = 245) of adult Gullah African Americans with type-2 diabetes mellitus (T2DM) ages <65 years. METHODS We used multivariable logistic regression to assess GPD [using three different and increasingly severe clinical assessments: 3, 4, and 5 mm clinical attachment level (CAL) at 30% of sites] according to health insurance status. RESULTS Prevalence of GPD was 33.06% for 3, 18.78% for 4, and 9.80% for 5 mm CAL. Age ranged 26-64 years (mean = 52.11, SD = 8.53, median = 53). Private insurance was most prevalent (39.59%), followed by uninsured (30.61%), Medicaid (16.33%), and Medicare (13.47%). Results showed increased odds (versus private insurance) for GPD at 3 mm among Medicaid (OR = 1.82, P = 0.2404), Medicare (OR = 3.34, P = 0.0103), and uninsured (OR = 1.96, P = 0.0956) groups; GPD at 4 mm among Medicaid (OR = 1.97, P = 0.3303), Medicare (OR = 5.02, P = 0.0121), and uninsured (OR = 3.38, P = 0.0319) groups; and GPD at 5 mm among Medicaid (OR = 1.21, P = 0.8507), Medicare (OR = 12.62, P = 0.0038), and uninsured (OR = 4.00, P = 0.0763) groups. CONCLUSIONS We observed substantial disparities for GPD severity among those without private health insurance even after adjusting for glycemic control, income, dental health behaviors, and other covariates. Improved insurance benefits as well as individualized oral health educational interventions may decrease GPD severity for this study population of younger (ages <65 years) Gullah African Americans with T2DM, particularly those with Medicare insurance.