Miracle-dz/UniFAR-FTUs huggingface dataset:
Accurately Predicting Bipolar Disorder Mood Outcomes: Implications for the use of Electronic Databases

Background:Monitoring mental health treatment outcomes for populations requires an understanding as to which patient information is needed in electronic format and is feasible to obtain in routine care. Objective:To examine whether bipolar disorder outcomes can be accurately predicted and how much clinical detail is needed to do so. Research Design, Data Sources, and Participants:Longitudinal study of bipolar disorder patients treated during 2000 to 2004 in the 19-site Systematic Treatment Enhancement Program for Bipolar Disorder observational study arm (N=3168). Clinical data were obtained at baseline and quarterly for over 1 year. We fit a “gold standard” longitudinal random-effects regression model using a detailed clinical information and estimated the area under the receiver operating characteristic curve (AUC) to predict accuracy using a validation sample. The model was then modified to include patient characteristics feasible in routinely collected electronic data (eg, administrative data). We compared the AUCs for the “limited-detail” and gold standard models, testing for differences between the AUCs using the validation sample. Measure:Remission, defined as Montgomery-Asberg Depression Rating Scale score<5 and Young Mania Rating Scale score <4. Results:The gold standard models had baseline AUC=0.80 (95% confidence interval=0.74 to 0.86) and 0.75(0.64 to 0.86) at 1-year follow-up. The predicted accuracies of the limited-detail model were lower at baseline [AUC=0.67(0.60 to 0.75)]; correlated test &khgr;2=14.25, P=0.002] and not statistically different from the gold standard model at 1 year [AUC=0.67(0.54-0.80); correlated test &khgr;2=2.88, P=0.090]. Conclusions:Future work is needed to develop clinically accurate and feasible models to predict bipolar disorder outcomes. Clinically detailed and limited models performed similarly for shorter-term prediction at 1-year; however, there is room for improvement in prediction accuracy.
Whole-Arm obstacle avoidance for non similar redundant teleoperated robots

This paper presents a controller for whole-arm obstacle avoidance for the slave robot in an unilateral teleoperated robotic system. The slave controller is free o f robot inverse kinematics model, and it is conformed of two parts. First a cartesian PID controller is used to render closed loop system stability. The second controller part is the on-line solution of a dynamic optimization problem. It considers the enhancement of the tracking error and obstacl e and joint limits avoidance for the slave robot. Gradient flow approach is used to solve on-line the optimization problem. The proposed controller is validated on a testbed, conforme d of a three Degrees of Freedom (DOF) parallel robot as a master robot, and a three-DOF planar robot as a salve robot. A CMOS sensor camera is used to get the obstacle position. Experimental results are presented, which show obstacle avoidance in slave robot operational space. A Writ ing task performance in cartesian space is successful, keeping cartesian errors small and without exceeding mechanical constraints at slave robot joints.
Effects of a triage process conversion on the triage of high-risk presentations.

OBJECTIVES The objective was to determine effects of a modification in triage process on triage acuity distribution in general and among patients with conditions requiring time-sensitive therapy. METHODS The authors retrospectively reviewed triage acuity distributions before and after modification of their triage process that entailed conversion from the Canadian Triage and Acuity Scale (CTAS) to the Emergency Severity Index (ESI). The authors calculated the ratio of the odds of being triaged to a nonemergent level (3, 4, or 5) under ESI to the odds of being triaged as nonemergent under CTAS. The authors calculated sensitivity and specificity of triage to an emergent acuity level (1 or 2) for identifying patients with common presentations who required time-sensitive care. RESULTS There were shifts from higher to lower acuity levels for all subsets, with odds ratios ranging from 2.80 (95% confidence interval [CI] = 2.75 to 2.86) for all patients to 21.39 (95% CI = 14.66 to 31.21) for patients over 55 years of age with a chief complaint of chest pain. The sensitivity of triage for identifying abdominal pain patients requiring admission to an intensive care unit (ICU) or operating room (OR) or emergency department (ED) death was 80.7% (95% CI = 73.2 to 86.5) before versus 50.8% (95% CI = 43.5 to 58.1) following the transition to ESI. Specificity under CTAS, 55.2% (95% CI = 54.0 to 56.4), was significantly lower than under ESI, 83.6% (95% CI = 82.7 to 84.4). The authors found similar effects for patients presenting with chest pain. CONCLUSIONS Monitoring for changes in the sensitivity of the triage process for detecting patients with potentially time-sensitive conditions should be considered when modifying triage processes. Further work should be done to determine if the decreased sensitivity seen in this study occurs in other institutions converting to ESI, and potential causative factors should be explored.
Motion Estimation with More than Two Frames

The development of a general motion estimation system based on using three or more frames is reported. The relevant portion of the sequence is treated as a whole, thus simplifying the process of estimating the motion parameters, and making possible the computation of the motion parameters in terms of the natural center of motion. A general description of this motion estimation method is presented, with the derivation of motion equations for three cases (three points in three frames, two points in four frames, and one point in five frames). Results are given for real and synthetic images for the case of one point in five (and six) frames. On the average, the program converged quickly to the right answer for noiseless data. For noisy data, the answers were reasonable and their accuracy was directly a function of the amount of noise in the disparity vector. >
Expression of Wnt pathway genes in polyps and medusa‐like structures of Ectopleura larynx (Cnidaria: Hydrozoa)

The canonical Wnt signaling pathway is conserved in its role in axial patterning throughout Metazoa. In some hydrozoans (Phylum Cnidaria), Wnt signaling is implicated in oral–aboral patterning of the different life cycle stages—the planula, polyp and medusa. Unlike most hydrozoans, members of Aplanulata lack a planula larva and the polyp instead develops directly from a brooded or encysted embryo. The Aplanulata species Ectopleura larynx broods such embryos within gonophores. These gonophores are truncated medusae that remain attached to the polyps from which they bud, and retain evolutionary remnants of medusa structures. In E. larynx, gonophores differ between males and females in their degree of medusa truncation, making them an ideal system for examining truncated medusa development. Using next‐generation sequencing, we isolated genes from Wnt signaling pathways and examined their expression in E. larynx. Our data are consistent with the Wnt pathway being involved in axial patterning of the polyp and truncated medusa. Changes in the spatial expression of Wnt pathway genes are correlated with the development of different oral structures in male and female gonophores. The absence of expression of components of the Wnt pathway and presence of a Wnt pathway antagonist SFRP in the developing anterior end of the gonophore suggest that downregulation of the Wnt pathway could play a role in medusa reduction in E. larynx.
Similarity measure for anomaly detection and comparing human behaviors

Herein, we put forth a new similarity measure for anomaly detection and for comparing human behaviors based on the theories of learning automata, comparison of soft partitions, and temporal probabilistic order relations. In particular, focus is placed on monitoring individuals in a home setting for their own well‐being. This work is a high‐level investigation focused on the structure of human behavior. Examples demonstrate the utility of this approach for (1) understanding the similarity of pairs of behaviors for an individual (or alternatively between individuals) and (2) detecting significant change between changing behavior and a baseline model. In the context of eldercare, significant change in behavior can be a precursor to cognitive and/or functional health related problems. Simulated resident behavior is used to show different scenarios and the response of the proposed measure. © 2012 Wiley Periodicals, Inc.
Posttraumatic stress in school-age children and adolescents: medical providers’ role from diagnosis to optimal management

Millions of children and adolescents each year are exposed to potentially traumatic events (PTEs), placing them at risk for posttraumatic stress (PTS) disorder symptoms. Medical providers play an important role in the identification and treatment of PTS, as they are typically the initial point of contact for families in the wake of a PTE or during a PTE if it is medically related (eg, injury/illness). This paper offers a review of the literature focused on clinical characteristics of PTS, the assessment and diagnosis of PTS, and current effective treatments for PTS in school-age children and adolescents. The clinical presentation of PTS is often complex as symptoms may closely resemble other internalizing and externalizing disorders. A number of screening and evaluation tools are available for medical providers to assist them in the accurate diagnosis of PTS. Treatment options are available for youth at minimal risk of PTS as well as for those with more intensive needs. Additional training regarding trauma-informed medical care may benefit medical providers. By taking a trauma-informed approach, rooted in a solid understanding of the clinical presentation of PTS in children and adolescents, medical providers can ensure PTS does not go undetected, minimize the traumatic aspects of medical care, and better promote health and well-being.
Membrane flux through the pore formed by a fusogenic viral envelope protein during cell fusion

We have investigated the mechanism of cell fusion mediated by HA, the fusogenic hemagglutinin of the Influenza viral envelope. Single erythrocytes (RBCs) were attached to fibroblasts expressing the HA on their cell surface, and fusion of the paired cells was triggered by rapid acidification. The RBC membrane was stained with fluorescent lipid, and the fusion-induced escape of lipid into the fibroblast was observed by quantitative image analysis. At the same time, the formation of an aqueous connection (i.e., the fusion pore) between the two cells was monitored electrically. Within minutes after acidification, an electrical conductance between the two cells appeared abruptly as the fusion pore opened, and then increased gradually as the pore dilated. Later, fluorescent lipid diffused into the fibroblast, approaching equilibrium over the next 5-20 min. No lipid flux was seen while the pore conductance remained 0.5 nS or less. Evidently lipid flux requires a threshold pore size. Our finding suggests that the smallest and earliest fusion pores are surrounded by a ring of protein. A fusion pore expands by breaking this ring and recruiting lipid into its circumference.
Face recognition using Gabor Filters

Gabor based face representation has achieved enormous success in face recognition. This paper addresses a novel algorithm for face recognition using neural networks trained by Gabor features. The system is commences on convolving some morphed images of particular face with a series of Gabor filter co-efficient at different scales and orientations. Two novel contributions of this paper are: scaling of RMS contrast, and contribution of morphing as an advancement of image recognition perfection. The neural network employed for face recognition is based on the multy layer perceptron (MLP) architecture with back-propegation algorithm and incorporates the convolution filter response of Gabor jet. The effectiveness of the algorithm has been justified over a morphed facial image database with images captured in different illumination conditions.
Evaluation of the Alfred 60/AST Device as a Screening Test for Urinary Tract Infections

ABSTRACT The performance of the Alfred 60/AST device, an automated bacterial culture device which uses laser nephelometry to detect and quantify bacterial growth, was evaluated. The instrument is effective at screening negative samples and is more reliable at detecting bacteria than yeasts. Microscopy can be used to reduce the false-negative numbers.
TAT CHAN , CHAKRAVARTHI NARASIMHAN , and

Vol. XLV (August 2008), 487–498 487 © 2008, American Marketing Association ISSN: 0022-2437 (print), 1547-7193 (electronic) *Tat Chan is Associate Professor of Marketing (e-mail: Chan@ wustl.edu), and Chakravarthi Narasimhan is Philip L. Siteman Professor of Marketing (e-mail: Narasimhan@wustl.edu), Olin School of Business, Washington University in St. Louis. Qin Zhang is Assistant Professor of Marketing, School of Management, University of Texas at Dallas (e-mail: Zhangq@utdallas.edu). The authors are listed in alphabetical order. They thank the late Dick Wittink for his encouragement and wisdom, as well as the two anonymous JMR reviewers, participants at the Second Quantitative Marketing and Economics conference, and Scott Neslin for their excellent comments and suggestions. Sunil Gupta served as associated editor for this article. TAT CHAN, CHAKRAVARTHI NARASIMHAN, and QIN ZHANG*
Experimental Evaluation of Indoor Formaldehyde Decomposition Performance of Atmospheric Plasma Reactor Utilizing Sensor Network

An experimental investigation is conducted into the indoor formaldehyde decomposition performance of an atmospheric plasma reactor with an airflow rate of 200 L/s, discharge power of 50 W, and operating voltage of 8.5 kV, utilizing a sensor network. It is shown that, given an initial formaldehyde concentration of ∼0.2 ppm, the reactor removes 15∼80% of the formaldehyde at a height of 107 cm and 20∼73% at a height of 180 cm after 5.5 hours. Moreover, it is shown that, in decomposing the formaldehyde, the reaction process does not generate O3. Finally, it is shown that the reduction in the formaldehyde concentration is particularly significant near the outlet of the plasma reactor and between the reactor and the door.
Using CloudSim to Model and Simulate Cloud Computing Environment

Cloud computing will be a major technology in the development of the future Internet of Services. Service providers want to remove the bottle neck of the cloud computing system in order to satisfy user requirement. And in order to save energy consumption they also need to apply new energy-efficiency mechanism and observe its effects on a data center. As it is difficult to test new mechanism in real cloud computing environment and researchers often cannot reach the real cloud environment, simulation to model the mechanism and evaluate the results is necessary. Simulating a data center avoids spending time and effort to configure a real testing environment. Moreover, as real machines are not used for testing purposes, their computational power can be allocated to profit-making applications. This paper introduces a simulation framework called CloudSim which provides simulation, power to manage services and modeling of cloud infrastructure. And we have also discussed about how to extend it to simulation your own mechanism in cloud computing.
A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization

While Pareto-based multiobjective optimization algorithms continue to show effectiveness for a wide range of practical problems that involve mostly two or three objectives, their limited application for many-objective problems, due to the increasing proportion of nondominated solutions and the lack of sufficient selection pressure, has also been gradually recognized. In this paper, we revive an early developed and computationally expensive strength Pareto-based evolutionary algorithm by introducing an efficient reference direction-based density estimator, a new fitness assignment scheme, and a new environmental selection strategy, for handling both multiobjective and many-objective problems. The performance of the proposed algorithm is validated and compared with some state-of-the-art algorithms on a number of test problems. Experimental studies demonstrate that the proposed method shows very competitive performance on both multiobjective and many-objective problems considered in this paper. Besides, our extensive investigations and discussions reveal an interesting finding, that is, diversity-first-and-convergence-second selection strategies may have great potential to deal with many-objective optimization.
Robust face image alignment using structural priors

In sparse representation based face recognition systems, the dictionary is assumed to be trained using well-controlled face images. Many classic and contemporary face recognition algorithms work well under the assumption, but degrade sharply when they are used in a real recognition system. This is mostly due to the fact that, in real-world scenarios, the training faces often appear to be loosely controlled, which are with different poses, occlusions and lighting conditions. In this paper, we propose a method to simultaneously handle the difficulties mentioned above. Our method eliminates the pose ambiguity and the effect of occlusion and illumination by imposing spatial and temporal structure constraints, respectively. Experimental results on both synthetic and real data demonstrate the efficacy of our proposed method.
Engineering of Syntactic Features for Shallow Semantic Parsing

Recent natural language learning research has shown that structural kernels can be effectively used to induce accurate models of linguistic phenomena. In this paper, we show that the above properties hold on a novel task related to predicate argument classification. A tree kernel for selecting the subtrees which encodes argument structures is applied. Experiments with Support Vector Machines on large data sets (i.e. the PropBank collection) show that such kernel improves the recognition of argument boundaries.
The Fundamentals of Commodity Futures Returns

Commodity futures risk premiums vary across commodities and over time depending on the level of physical inventories, as predicted by the Theory of Storage. Using a comprehensive dataset on 31 commodity futures and physical inventories between 1969 and 2006, we show that the convenience yield is a decreasing, non-linear relationship of inventories. Price measures, such as the futures basis, prior futures returns, and spot returns reflect the state of inventories and are informative about commodity futures risk premiums. The excess returns to Spot and Futures Momentum and Backwardation strategies stem in part from the selection of commodities when inventories are low. Positions of futures markets participants are correlated with prices and inventory signals, but we reject the Keynesian "hedging pressure" hypothesis that these positions are an important determinant of risk premiums.
Thermal Analysis for Hydraulic Powering System of a Certain Type Aircraft

In order to explore preliminarily if it is possible for hydraulic system of a certain type aircraft to remove heat exchanger, which can reduce the system weight and airline operation cost, and evaluate if hydraulic system temperature control strategy is too conservative. Heat generation and dissipation characteristics of hydraulic components in hydraulic powering system of a certain type aircraft is analyzed in detail, and thermal model of hydraulic powering system is created in AMESim in this paper. Oil temperature for hydraulic system with and without heat exchanger under typical working conditions is calculated, and system temperature without heat exchanger is compared with the design specification. Hydraulic powering system thermal analysis can be used as reference for system thermal design and optimization.
Photoperiod length paces the temporal orchestration of cell cycle and carbon-nitrogen metabolism in Crocosphaera watsonii.

We analysed the effect of photoperiod length (PPL) (16:8 and 8:16 h of light-dark regime, named long and short PPL, respectively) on the temporal orchestration of the two antagonistic, carbon and nitrogen acquisitions in the unicellular, diazotrophic cyanobacterium Crocosphaera watsonii strain WH8501 growing diazotrophically. Carbon and nitrogen metabolism were monitored at high frequency, and their patterns were compared with the cell cycle progression. The oxygen-sensitive N2 fixation process occurred mainly during the dark period, where photosynthesis cannot take place, inducing a light-dark cycle of cellular C : N ratio. Examination of circadian patterns in the cell cycle revealed that cell division occurred during the midlight period, (8 h and 4 h into the light in the long and short PPL conditions, respectively), thus timely separated from the energy-intensive diazotrophic process. Results consistently show a nearly 5 h time lag between the end of cell division and the onset of N2 fixation. Shorter PPLs affected DNA compaction of C. watsonii cells and also led to a decrease in the cell division rate. Therefore, PPL paces the growth of C. watsonii: a long PPL enhances cell division while a short PPL favours somatic growth (biomass production) with higher carbon and nitrogen cell contents.
Executive functions in the young elderly and oldest old: a preliminary comparison emphasizing decision making

This study aimed at investigating differences in the performance of the young elderly and oldest old in tasks evaluating cognitive flexibility/inhibition (Stroop test), selective attention/working memory (Digit Span Subtest), premorbid intelligence/semantic knowledge (Vocabulary Subtest), and decision making (Iowa Gambling Task - IGT). Twenty healthy individuals were divided into two groups: 10 young elderly (M = 62 years, SD = 2.1) and 10 oldest old (M = 80 years, SD = 3.3), both with high educational level (M = 14 years of study, SD = 2.5). Results showed that the groups were only different in terms of decision making. There was also a difference in the learning process of each group; the young elderly reached more favorable scores in the IGT.