Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of an Intelligent Approach for Medical Knowledge Discovery and Decision Support

knowledgebase (including Electronic Medical Record), together with inference procedures, form an intelligent medical information systems that offers many possibilities for health care providers. It acts as a strong base for scientific upgrading and provides an enormous support for developing new medical decisions. This paper proposes an intelligent neurosurgical decision support system framework. This framework merges the advantages of electronic medical record, rough set theory, clinical pathways, latest available scientific researches, and patient's expectations. We have designed and developed this aiming to get a support system for predicting the ideal treatment method of lumbar disc patients, in addition to evaluating the treatment plan. The system ensures future up-to-date knowledgebase, through permitting upgrading with the most recent innovations in knowledge and discoveries. This framework is expected to improve the quality of health care by providing the necessary requirements of neurosurgery domain. KeywordsMedical Record; Rough Set; Patient's Expectations; Medical Decision Support System; Android
Baseline self reported functional health and vulnerability to post-traumatic stress disorder after combat deployment: prospective US military cohort study

Objective To determine if baseline functional health status, as measured by SF-36 (veterans), predicts new onset symptoms or diagnosis of post-traumatic stress disorder among deployed US military personnel with combat exposure. Design Prospective cohort analysis. Setting Millennium Cohort. Participants Combat deployed members who completed baseline (2001-3) and follow-up (2004-6) questionnaires. Self reported and electronic data used to examine the relation between functional health and post-traumatic stress disorder. Main outcome measures New onset post-traumatic stress disorder as measured by either meeting the DSM-IV criteria with the 17 item post-traumatic stress disorder checklist-civilian version or self report of a physician diagnosis at follow-up with the absence of both at baseline. Results Of the 5410 eligible participants, 395 (7.3%) had new onset symptoms or diagnosis of post-traumatic stress disorder at the time of follow-up. Individuals whose baseline mental or physical component summary scores were below the 15th centile had two to three times the risk of symptoms or a diagnosis of post-traumatic stress disorder by follow-up compared with those in the 15th to 85th centile. Of those with new onset symptoms or diagnosis of post-traumatic stress disorder, over half (58%) of cases occurred among participants with scores below the 15th centile at baseline. Conclusions Low mental or physical health status before combat exposure significantly increases the risk of symptoms or diagnosis of post-traumatic stress disorder after deployment. More vulnerable members of a population could be identified and benefit from interventions targeted to prevent new onset post-traumatic stress disorder.
Dances with Words

Animated text is an appealing field of creative graphical design. Manually designed text animation is largely employed in advertising, movie titles and web pages. In this paper we propose to link, through state of the art NLP techniques, the affective content detection of a piece of text to the animation of the words in the text itself. This methodology allows us to automatically generate affective text animation and opens some new perspectives for advertising, internet applications and intelligent interfaces.
Ultrafast All-optical Self Clock Extraction Based on Two Inline Symmetric Mach-Zehnder Switches

In this paper, we report a novel ultrafast all-optical self clock extraction module (CEM) based on two inline symmetric Mach-Zehnder switches. In the proposed CEM, incoming data packet is used as the control signal to set/reset the imbalance/balance states of the SMZs for extracting the clock pulse, CEM offers fast clock extraction response and high on/off contrast ratio between extracted clock pulse and residual signals. Simulation results show that contrast ratio of more than 20 dB at low input energy (1 fJ) and small required processing time in 100 Gb/s transmission are achievable
Choosing GnRH Antagonist Protocol Shows Improved Oocyte and Embryo Quality, Coherent with the Perifollicular Vascularity (PFV) in Assisted Reproductive Techniques.

INTRODUCTION The parent oocyte from which the embryo is derived, determines its quality and the perifollicular vascularity (PFV) determines the micro-environment of the developing ovum. The PFV correlates well with the follicular oxygenation, oocyte maturation and embryo viability. PFV is imaged with Power Doppler Ultrasound. AIM To study and compare the association of the PFV of follicles with the quality of the oocytes and embryos in agonist and antagonist protocol, employed in Assisted Reproductive techniques (ART). STUDY DESIGN A prospective observational study was conducted on 75 patients, who were recruited for ART cycles, out of which 25 were given the Agonist protocol and the remaining 50 received the Antagonist protocol. MATERIALS AND METHODS The patients underwent the stimulation protocol. The PFV of preovulatory follicles were studied with Transvaginal Power Doppler and graded. Each oocyte retrieved carried the same label of its parent follicle. Embryos were cultured. The embryologist was blinded. The oocyte and embryo quality were assessed and compared with the PFV of parent follicle. RESULTS Follicles with grade 1 and 2 PFV were predominantly observed. The yield of oocytes was independent of PFV. The mean yield of good quality embryos in conjunction with the PFV of the parent follicle was found to be highly significant in both the groups. The antagonist group had statistically significant yield of mature oocytes and embryos, compared to the agonist group. CONCLUSION Antagonist protocol had favourable outcomes compared with the agonist protocol. The retrieval of oocytes, even the mature ones and the yield of high grade embryos were found higher. As the PFV increased, the yield and overall pregnancy rates were higher. PFV as assessed by Power Doppler is a useful non-invasive biomarker of embryo quality and can be employed in conjunction with other biomarkers in ART to predict successful outcome.
An Enhanced Power Estimation Model for On-Chip Caches

There is a growing need for accurate power models at the higher levels of design hierarchy. CACTI is a micro-architecture level tool widely used (i) to estimate power dissipation in caches and (ii) to determine the cache configuration that best meets the desired optimization criterion. However, we observed several limitations in CACTI that lead to inaccuracies in cache power estimates especially as we move to deep sub-micron (DSM) technologies: a) lack of models to account for leakage power, b) use of constant gate widths for most devices irrespective of its capacitive load, and c) lack of models to account for power dissipation in sub-blocks that are outside the time critical path. As a result, the cache configuration determined by CACTI may not be optimal because of these limitations. In this paper, we describe eCACTI(enhanced CACTI), a tool that addresses these limitations in CACTI thereby improving the accuracy of its power estimates. We validated eCACTIpower estimates against SPICE based simulations on industrial designs. Furthermore, we show that for DSM technologies, CACTI does not generate power optimal cache configuration, which highlights the need for the enhancements we developed in eCACTI . Finally, we demonstrate the use of eCACTIto study the effects of (i) technology on cache leakage and total cache power, (ii) dualVth optimization on sub-block and total cache leakage power, (iii) effects of varying cache size, block size, and associativity for DSM technologies.
The diagnostic dilemmas in discrimination between pancreatic carcinoma and chronic pancreatitis.

In response to the letter of Harlozinska-Szmyrka and Strutynska-Karpinska ( Gut 2004; 53 :469–70) commenting on our study,1 we agree with the remarks made in relation to the difficulties in discriminating between chronic pancreatitis and adenocarcinoma using currently employed diagnostic imaging and tumour marker analysis. Our study was aimed at determining the risk of …
Parallel and High-Speed Computations of Elliptic Curve Cryptography Using Hybrid-Double Multipliers

High-performance and fast implementation of point multiplication is crucial for elliptic curve cryptographic systems. Recently, considerable research has investigated the implementation of point multiplication on different curves over binary extension fields. In this paper, we propose efficient and high speed architectures to implement point multiplication on binary Edwards and generalized Hessian curves. We perform a data-flow analysis and investigate maximum number of parallel multipliers to be employed to reduce the latency of point multiplication on these curves. Then, we modify the addition and doubling formulations and employ a newly proposed digit-level hybrid-double Gaussian normal basis multiplier to remove the data dependencies and hence reduce the latency of point multiplication. To the best of our knowledge, this is the first time that one employs hybrid-double multiplication technique to reduce the computation time of point multiplication. Moreover, we have implemented our proposed architectures for point multiplication on FPGA and obtained the results of timing and area. Our results indicate that the proposed scheme is one step forward to improve the performance of point multiplication on binary Edward and generalized Hessian curves.
Tracking People's Hands and Feet Using Mixed Network AND/OR Search

We describe a framework that leverages mixed probabilistic and deterministic networks and their AND/OR search space to efficiently find and track the hands and feet of multiple interacting humans in 2D from a single camera view. Our framework detects and tracks multiple people's heads, hands, and feet through partial or full occlusion; requires few constraints (does not require multiple views, high image resolution, knowledge of performed activities, or large training sets); and makes use of constraints and AND/OR Branch-and-Bound with lazy evaluation and carefully computed bounds to efficiently solve the complex network that results from the consideration of interperson occlusion. Our main contributions are: 1) a multiperson part-based formulation that emphasizes extremities and allows for the globally optimal solution to be obtained in each frame, and 2) an efficient and exact optimization scheme that relies on AND/OR Branch-and-Bound, lazy factor evaluation, and factor cost sensitive bound computation. We demonstrate our approach on three datasets: the public single person HumanEva dataset, outdoor sequences where multiple people interact in a group meeting scenario, and outdoor one-on-one basketball videos. The first dataset demonstrates that our framework achieves state-of-the-art performance in the single person setting, while the last two demonstrate robustness in the presence of partial and full occlusion and fast nontrivial motion.
Higher Order Factor Structure Of A Self-Control Test: Evidence From Confirmatory Factor Analysis With Polychoric Correlations

The self-control test developed by Grasmick, Tittle, Bursik, and Arneklev was designed to measure each of six components of self-control, namely, impulsivity, a preference for simple rather than complex tasks, risk seeking, a preference for physical rather than cerebral activities, a self-centered orientation, and a volatile temper. This conceptualization clearly suggests that self-control may be defined as a higher order construct that leads to each of these components, which in turn may be represented as first-order factors or constructs. However, due to various limitations, previous analyses of the test failed to establish this factor structure. By employing proper methods for the factor analysis of Likert-type items and explicitly testing a higher order structure, the authors show that the self-control test may provide more valid measurement of the psychological constructs it was intended to measure than previous research suggests.
Raising Awareness of Research Ethics in SoTL: The Role of Educational Developers.

Does the subject of research ethics take you by surprise? Does it make you somewhat uncomfortable? Does it seem to have nothing to do with your research or your practice? These are the attitudes we have encountered about research ethics among some SoTL researchers at workshops and conferences. In many cases, these researchers had conducted research that should have undergone research ethics board (REB) review, but did not; that should have included a consent process for the use of student data or previous work, but did not; or that started out as program evaluation and became research without meeting the criteria of ethically acceptable research conduct. In this essay, we will argue that familiarity with our national research ethics Policy: The Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans, 2nd edition (TCPS 2) and how it applies to SoTL, is essential for researchers and for educational developers. We will propose a role for Centre of Teaching and Learning staff in raising awareness of TCPS 2 and we will dispel some of the most common myths and misconceptions that abound regarding SoTL and research ethics. Le sujet de l’ethique de la recherche vous surprend-il? Vous rend-il quelque peu mal a l’aise? Semble-t-il ne rien avoir a faire avec votre recherche ou votre pratique? Ce sont des attitudes que nous avons rencontrees quant a l’ethique de la recherche chez certains chercheurs en ACEA dans des ateliers et des conferences. Dans de nombreux cas, les chercheurs ont effectue des recherches qui auraient du etre examinees par les conseils d’ethique en recherche, mais qui ne l’ont pas ete; qui auraient du comprendre un processus de consentement pour l’utilisation de donnees sur les etudiants ou de travaux anterieurs et pour lesquelles mais ils n’en ont pas, ou qui ont commence par etre une evaluation de programme et qui sont devenues une recherche sans toutefois respecter les criteres relatifs a la conduite d’une recherche ethiquement acceptable. Dans cet essai, nous expliquons que la connaissance de notre politique nationale d’ethique en matiere de recherche : l’Enonce de politique des trois Conseils : Ethique de la recherche avec des etres humains 2e edition (EPTC 2), est essentielle et nous montrons en quoi elle s’applique a l’ACEA. Nous proposons un role pour le personnel du Centre d’enseignement et d’apprentissage afin de mieux faire connaitre l’EPTC 2 et dissipons les mythes et idees erronees les plus courants qui abondent concernant l’ACEA et l’ethique de la recherche.
Rice TSV3 Encoding Obg-Like GTPase Protein Is Essential for Chloroplast Development During the Early Leaf Stage Under Cold Stress

The Spo0B-associated GTP-binding (Obg) proteins are essential for the viability of nearly all bacteria. However, the detailed roles of Obg proteins in higher plants have not yet been elucidated. In this study, we identified a novel rice (Oryza sativa L.) thermo-sensitive virescent mutant (tsv3) that displayed an albino phenotype at 20° before the three-leaf stage while being a normal green at 32° or even at 20° after the four-leaf stage. The mutant phenotype was consistent with altered chlorophyll content and chloroplast structure in leaves. Map-based cloning and complementation experiments showed that TSV3 encoded a small GTP-binding protein. Subcellular localization studies revealed that TSV3 was localized to the chloroplasts. Expression of TSV3 was high in leaves and weak or undetectable in other tissues, suggesting a tissue-specific expression of TSV3. In the tsv3 mutant, expression levels of genes associated with the biogenesis of the chloroplast ribosome 50S subunit were severely decreased at the three-leaf stage under cold stress (20°), but could be recovered to normal levels at a higher temperature (32°). These observations suggest that the rice nuclear-encoded TSV3 plays important roles in chloroplast development at the early leaf stage under cold stress.
Evaluation of an online three‐dimensional interactive resource for undergraduate neuroanatomy education

Neuroanatomy is one of the most challenging subjects in anatomy, and novice students often experience difficulty grasping the complex three‐dimensional (3D) spatial relationships. This study evaluated a 3D neuroanatomy e‐learning module, as well as the relationship between spatial abilities and students' knowledge in neuroanatomy. The study's cross‐over design divided the participants into two groups, each starting with tests for anatomy knowledge and spatial ability, followed by access to either the 3D online learning module or the gross anatomy laboratory. Participants completed a second knowledge test prior to accessing the other learning modality. Participants in both groups scored significantly higher on Quiz 1 than on the Pretest knowledge assessment (W = 47, P < 0.01; W = 30, P < 0.01). Students who initially accessed the 3D online resources scored significantly better on the Quiz 1 than students who accessed the gross anatomy resources (W = 397.5, P < 0.01). Scores significantly improved on Quiz 2 for participants who accessed the 3D learning module following exposure to the cadaveric resources (W = 94, P < 0.01). After exposure to both learning modalities, there were no significant differences between groups. Significant positive correlations were found between participants' spatial ability score and their performance on the Pretest, Quiz 1, and Quiz 2 assessments (r = 0.22, P = 0.04; r = 0.25, P = 0.02; r = 0.26, P = 0.02). These preliminary results found students appreciated working with the 3D e‐learning module, and their learning outcomes significantly improved after accessing the resource. Anat Sci Educ 9: 431–439. © 2016 American Association of Anatomists.
Evaluating the importance of environmental factors on the spatial distribution of livestock settlements in the Monte desert with a Monte Carlo based model: Settlement Dynamics in Drylands (SeDD)

In the Monte desert, increasing population density, changing land rights and infrastructure may encourage livestock activity, with unknown consequences on ecosystems. Factors that influence livestock settlement distribution may affect ecosystem degradation. We hypothesize that surface and groundwater availability influence livestock settlements distribution. We evaluated this hypothesis with a Monte Carlo based model to simulate Settlement Dynamics in Drylands (SeDD), which calculates probabilities on a gridded region based on six environmental factors: groundwater depth, vegetation type, proximity to rivers, paved roads, old river beds, and existing settlements. A parameter sweep, including millions of simulations, was run with combinations of parameters related to these factors. The sets of parameter values that minimized the residuals between simulations and observations indicated the relative importance of each factors on settlement distribution. Distances to rivers and old river beds were critical to explain the current distribution of settlements, while vegetation, paved roads, and water table depths were not important. Spatial distribution of simulated vegetation, which included degradation around livestock settlements, generally agreed with remotely sensed vegetation classes. The model could be a useful tool to evaluate the effects of land use changes (water provision, river flows), on settlement distribution and vegetation degradation in arid environments.
Temporal E-Beam Shaping in an S-Band Accelerator

New short-wavelength SASE light sources will require very bright electron beams, brighter in some cases than is now possible. One method for improving brightness involves the careful shaping of the electron bunch to control the degrading effects of its space charge forces. We study this experimentally in an S-band system, by using an acousto-optical programmable dispersive filter to shape the photocathode laser pulse that drives the RF photoinjector. We report on the efficacy of shaping from the IR through the UV, and the effects of shaping on the electron beam dynamics.
Asymptotic Behavior of Mean Partitions in Consensus Clustering

Although consistency is a minimum requirement of any estimator, little is known about consistency of the mean partition approach in consensus clustering. This contribution studies the asymptotic behavior of mean partitions. We show that under normal assumptions, the mean partition approach is consistent and asymptotic normal. To derive both results, we represent partitions as points of some geometric space, called orbit space. Then we draw on results from the theory of Fr\'echet means and stochastic programming. The asymptotic properties hold for continuous extensions of standard cluster criteria (indices). The results justify consensus clustering using finite but sufficiently large sample sizes. Furthermore, the orbit space framework provides a mathematical foundation for studying further statistical, geometrical, and analytical properties of sets of partitions.
CALIBRATION OF CURVATURE OF FIELD FOR DEPTH FROM FOCUS

A method for accurate depth measurement in depth from focus is presented. With depth from focus the 3D shape of objects can be measured. To do so, an image series with different distances between camera and object is evaluated to extract focused parts. Combining the results of an edge detection filter with the distance information at which the images have been acquired provides a depth image of the object. The focus information is influenced by optical aberrations. Especially the curvature of field leads to a significant error in the depth image. This error can be seen by measuring the depth information of a planar object with depth from focus. The error in the depth image is approximated by fitting a second order surface to the depth image. To overcome the influence of outliers in the depth image a robust least-squares fitting with suppression of outliers is used. The second order surface is then used to correct depth images, which reduces the influence of the curvature of field on the depth data and leads to more accurate 3D measurements.
Cytosine Methyltransferases as Tumor Markers

Changes in DNA methylation patterns is a prominent characteristic of human tumors. Tumor cells display reduced levels of genomic DNA methylation and site-specific CpG island hypermethylation. Methylation of CpG dinucleotides is catalyzed by the enzyme family of DNA methyltransferases (DNMTs). In this review, the role of DNA methylation and DNMTs as key determinants of carcinogenesis is further elucidated. The chromatin modifying proteins that are known to interact with DNMTs are also described. Finally, the role of DNMTs as potential therapeutic targets is addressed.