Miracle-dz/UniFAR-FTUs huggingface dataset:
Examination of the Structural Relations Between Posttraumatic Stress Disorder Symptoms and Reckless/Self-Destructive Behaviors.

Posttraumatic stress disorder (PTSD) often co-occurs with reckless and self-destructive behaviors (RSDBs; Hellmuth, Stappenbeck, Hoerster, & Jakupcak, 2012; Walton et al., 2018). RSDBs are defined as purposive behaviors involving potentially negative consequences (e.g., social, monetary) with/without perceived gains (Ben-Zur & Zeidner, 2009). To account for the significance of RSDBs within PTSD’s symptomatology (Contractor, Weiss, Dranger, Ruggero, & Armour, 2017), the DSM-5 added engagement in RSDBs (e.g., dangerous driving, suicidal behaviors, substance misuse) as a new PTSD diagnostic symptom (American Psychiatric Association, 2013). Exploring the relation between RSDBs and PTSD clusters may highlight their comorbidity mechanisms, and guide personalized assessment and treatment targets. In the current study, we thus examined latentlevel relations of RSDBs with PTSD clusters (optimal factor-analytical model).
Tyrosine Hydroxylation in Betalain Pigment Biosynthesis Is Performed by Cytochrome P450 Enzymes in Beets (Beta vulgaris)

Yellow and red-violet betalain plant pigments are restricted to several families in the order Caryophyllales, where betacyanins play analogous biological roles to anthocyanins. The initial step in betalain biosynthesis is the hydroxylation of tyrosine to form L-DOPA. Using gene expression experiments in beets, yeast, and Arabidopsis, along with HPLC/MS analysis, the present study shows that two novel cytochrome P450 (CYP450) enzymes, CYP76AD6 and CYP76AD5, and the previously described CYP76AD1 can perform this initial step. Co-expressing these CYP450s with DOPA 4,5-dioxygenase in yeast, and overexpression of these CYP450s in yellow beets show that CYP76AD1 efficiently uses L-DOPA leading to red betacyanins while CYP76AD6 and CYP76AD5 lack this activity. Furthermore, CYP76AD1 can complement yellow beetroots to red while CYP76AD6 and CYP76AD5 cannot. Therefore CYP76AD1 uniquely performs the beet R locus function and beets appear to be genetically redundant for tyrosine hydroxylation. These new functional data and ancestral character state reconstructions indicate that tyrosine hydroxylation alone was the most likely ancestral function of the CYP76AD alpha and beta groups and the ability to convert L-DOPA to cyclo-DOPA evolved later in the alpha group.
Classifying Step and Spin Turns Using Wireless Gyroscopes and Implications for Fall Risk Assessments

Recent studies have reported a greater prevalence of spin turns, which are more unstable than step turns, in older adults compared to young adults in laboratory settings. Currently, turning strategies can only be identified through visual observation, either in-person or through video. This paper presents two unique methods and their combination to remotely monitor turning behavior using three uniaxial gyroscopes. Five young adults performed 90° turns at slow, normal, and fast walking speeds around a variety of obstacles while instrumented with three IMUs (attached on the trunk, left and right shank). Raw data from 360 trials were analyzed. Compared to visual classification, the two IMU methods’ sensitivity/specificity to detecting spin turns were 76.1%/76.7% and 76.1%/84.4%, respectively. When the two methods were combined, the IMU had an overall 86.8% sensitivity and 92.2% specificity, with 89.4%/100% sensitivity/specificity at slow speeds. This combined method can be implemented into wireless fall prevention systems and used to identify increased use of spin turns. This method allows for longitudinal monitoring of turning strategies and allows researchers to test for potential associations between the frequency of spin turns and clinically relevant outcomes (e.g., falls) in non-laboratory settings.
Corneal endothelial integrity in mice lacking extracellular superoxide dismutase.

PURPOSE To evaluate corneal endothelial morphology in mice without secreted extracellular superoxide dismutase (SOD) in normal ageing and in a lipopolysaccharide (LPS)-induced inflammation model and to measure the contents of SOD isoenzymes in the mouse cornea and the superoxide radical concentrations in corneas with and without extracellular SOD. METHODS The central corneal endothelium of wild-type and extracellular SOD-null mice were studied in micrographs at eight different ages and after a unilateral intravitreal injection of LPS, with the contralateral eye serving as the control. The activities of the SOD isoenzymes in the mouse cornea were determined with a direct assay, the superoxide radical concentration was assessed by lucigenin-induced chemiluminescence, and the extracellular SOD distribution was mapped with immunohistochemistry. RESULTS The activities of the cytosolic Cu- and Zn-containing SOD, the mitochondrial Mn-containing SOD and extracellular SOD were 4300, 15, and 340 U/g wet weight, respectively. Extracellular SOD was found in the epithelium, stroma, and endothelium. The concentration of extracellular superoxide radicals was doubled in extracellular SOD-null corneas, and the endothelial cell density decreased more with age in extracellular SOD-null than in wild-type control corneas. In the LPS-induced inflammation model, the cell density decreased more, and the cells became more irregular in extracellular SOD-null than in wild-type corneas. CONCLUSIONS In the mouse cornea, absence of extracellular SOD leads to a higher concentration of extracellular superoxide radicals, an enhancement in the spontaneous age-related loss of endothelial cells, and an increased susceptibility to acute inflammatory endothelial damage. Extracellular SOD is likely to have a protective role in the corneal endothelium.
THE STRUCTURE OF A TEN-ITEM EXPAGG SCALE USING CONFIRMATORY FACTOR ANALYSIS

The short Expagg scale is a psychometric measure of social representations of expressive and instrumental aggression developed by Campbell, Muncer, McManus and Woodhouse (1999). Confirmatory factor analysis (CFA) was used to compare the 16-item and 10-item versions of the scales on their goodness of fit to a proposed two-dimensional model. On a sample of 1,000 respondents, the 5-item version showed superior fit measures and exceeded three criteria of fit adequacy (CFI = .93, GFI = .97, RMSEA =.06). We conclude that the ten-item Expagg is not only more convenient to use than the longer version but that it provides a better fit to the underlying two-dimensional conceptual structure than the longer version. Current Research in Social Psychology (Vol. 10, No. 15) (Driscoll, Campbell, & Muncer)
Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm

Cloud computing system is a huge cluster of interconnected servers residing in a datacenter and dynamically provisioned to clients on-demand via a front-end interface. Scientific applications scheduling in the cloud computing environment is identified as NP-hard problem due to the dynamic nature of heterogeneous resources. Recently, a number of metaheuristics optimization schemes have been applied to address the challenges of applications scheduling in the cloud system, without much emphasis on the issue of secure global scheduling. In this paper, scientific applications scheduling techniques using the Global League Championship Algorithm (GBLCA) optimization technique is first presented for global task scheduling in the cloud environment. The experiment is carried out using CloudSim simulator. The experimental results show that, the proposed GBLCA technique produced remarkable performance improvement rate on the makespan that ranges between 14.44% to 46.41%. It also shows significant reduction in the time taken to securely schedule applications as parametrically measured in terms of the response time. In view of the experimental results, the proposed technique provides better-quality scheduling solution that is suitable for scientific applications task execution in the Cloud Computing environment than the MinMin, MaxMin, Genetic Algorithm (GA) and Ant Colony Optimization (ACO) scheduling techniques.
ReCT: Improving MapReduce performance under failures with resilient checkpointing tactics

MapReduce is a programming paradigm that makes it simple and efficient to process vast amount of data. It targets at very big clusters, where failures are no longer exceptions. Fault tolerance is vital to MapReduce, however, fault tolerance and recovery strategies in MapReduce perform poorly under failures. Currently fault tolerance is implemented at the task level, a task failure will lead to a re-execution of the whole task. In this work, we present ReCT, a family of resilient checkpointing tactics(ReCT) to intensively improve MapReduce performance under map task failures. ReCT introduces slight changes to current MapReduce execution flow and makes it possible to create checkpoints beneath the task level. In case of task failures, ReCT tries to make the most of finished partial tasks and skip them in retry attempts. The checkpointing tactics bring little overhead and intensively accelerate fault recovery process. We also observe that under some circumstances, the new execution flow in ReCT involves much less IO operations than that in Hadoop. ReCT outperforms Hadoop by 6.6% on average under no failures and 4.6% to 51.0% under different failure densities.
Estimation of Aerodynamic Roughness Length over Oasis in the Heihe River Basin by Utilizing Remote Sensing and Ground Data

Most land surface models require information on aerodynamic roughness length and its temporal and spatial variability. This research presents a practical approach for determining the aerodynamic roughness length at fine temporal and spatial resolution over the landscape by combining remote sensing and ground measurements. The basic framework of Raupach, with the bulk surface parameters redefined by Jasinski et al., has been applied to optical remote sensing data collected by the HJ-1A/1B satellites. In addition, a method for estimating vegetation height was introduced to derive the aerodynamic roughness length, which is preferred by users over the height-normalized form. Finally, mapping different vegetation classes was validated taking advantage of the data-dense field experiments conducted in the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) project. Overall, the roughness model performed well against the measurements collected at most HiWATER flux tower sites. However, deviations still occurred at some sites, which have been further analyzed.
Graph cut based automatic prostate segmentation using learned semantic information

We propose a graph cut based automatic method for prostate segmentation using image feature, context information and semantic knowledge. A volume of interest (VOI) is first identified using supervoxel oversegmentation and their subsequent classification of the supervoxels. All voxels within the VOI are labeled prostate or background using graph cuts. Semantic information obtained from Random forest (RF) classifiers is used to formulate the smoothness cost. Use of context and semantic information contributes to higher segmentation accuracy than competing methods.
Open M2M data - Position paper

Advances in the field of wireless sensors in particular and machine-to-machine communication in general are converging into the Internet of Things (IoT). Real and virtual `things' will create a pervasive information space that will hold vast amounts of data. The challenge is to give mobile users an on-demand access to this space, to discover and gather data dynamically from available sensors in the surroundings and enable collaboration by allowing the sharing of own data. Open M2M Data is a new paradigm in usage and delivery of (machine) data. The information space described above will be made accessible on-demand by bringing device-to-device (D2D) and machine type communication (MTC) together and introducing Linked Data principles into the machine-to-machine (M2M) platforms.
Ovulation Detection in Saliva, Is It Possible

Background/Aims: The new mini-microscope Geratherm® ovu control was evaluated for its recognition of saliva ferning in a collective of 47 patients taking part in an artificial reproductive technology program on the day of follicular puncture. Methods: The ferning phenomenon was evaluated by patients and laboratory staff according to the criteria: no ferning, slight ferning and good ferning. Results: Geratherm® ovu control showed a specificity of 78% and a sensitivity of 80% in relation to rising E2 levels under follicle-stimulating hormone/human chorionic gonadotrophin. A comparison of the evaluations of the saliva test carried out by patients and by laboratory staff resulted in a high and substantial agreement of 89.4% (κ). Conclusion: Evaluations performed by ovu control were similar to those achieved with a highly sophisticated inverted microscope.
Speaker change detection and speaker diarization using spatial information

In this paper, we present a novel speaker change detection and speaker diarization algorithm using spatial information in the form of features derived from estimated Room Impulse Response (RIR)s. A blind system identification approach is used to obtain an estimate of the RIRs, from which the C5 feature is derived and used in the labeling algorithm. Experimental results using 2 speakers for different locations within a fixed room show that our approach achieves a higher hit rate in the speaker change detection task and a lower variance in the diarization error rate when compared with a baseline algorithm.
Mini Open Foraminotomy for Cervical Radiculopathy: A Comparison of Large Tubular and TrimLine Retractors

Study Design Retrospective chart review. Purpose A comparison of mini open foraminotomy (MOF) for cervical radiculopathy using either large tubular (LT) or TrimLine (TL) retractors. Overview of Literature Posterior foraminotomy relieves compression of the cervical nerve root in radiculopathy patients. However, invasion of the paravertebral muscle may cause major problems in these patients. To address these problems, we performed MOF. Methods Twenty cervical radiculopathy patients (16 male and 4 female) who underwent MOF between May 2004 and August 2011 were assigned to LT and TL groups. Each group contained 10 subjects. Surgical and clinical outcomes were compared. Results The average operating time in the TL group was significantly shorter than that in the LT group. The final follow-up mean neck disability indices significantly improved compared to the preoperative values (LT group, 12.0±7.8 vs. 28.0±9.4; TL group, 6.0±5.9 vs. 21.9±10). The final follow-up neck pain visual analog scale (VAS) scores also decreased significantly from the preoperative of 8.0±1.5 and 2.5±2.5 to the final follow-up values of 2.2±2.2 and 1.0±2.5 in the LT and TL groups, respectively. The recovery rate for the neck pain VAS score was 70.0±31.9 in the LT group and 87.0±32.0 in the TL group, thus suggesting no significant difference between the two groups. Conclusions MOF with the TL retractor is an easy and safe procedure. Furthermore, the use of the TL retractor allows for a minimally invasive and effective surgical treatment of cervical radiculopathy patients.
Molecular Detection of Molecular Detection of Trypanosoma Evansi Trypanosoma Evansi in Cattle from Quirino in Cattle from Quirino Province, Philippines Province, Philippines

Trypanosoma evansi is a protozoan parasite which ubiquitously infects livestock in the Philippines. The study depicts an initial report of livestock trypanosomes in cattle from the province of Quirino, Philippines using the polymerase chain reaction (PCR) method. Out of 246 fi eld blood samples from apparently healthy cattle collected from fi ve municipalities of Quirino Province, Philippines, 3/246 (1.22%) were established positive for T. evansi using PCR. The positive animals identifi ed were from the municipality of Saguday (3/42; 7.14% prevalence). These were composed of one female and two males species and belonged to variable age groups (1.1-2 yrs, 2.1-3 yrs and >3 yrs). In addition, the data on the physical examination of the sampled animals using the nine-point scale body condition scoring system showed that the top three body condition scores Furthermore, the data showed that majority of the animals in Diffun and Saguday were thin (BCS 4) while most of the animals in Cabarroguis and Maddela and Aglipay were classifi ed under BCS 3(Very thin) and BCS 2(Emaciated) respectively. Consequently, all the Trypanosoma evansi positive animals appeared thin (BCS= 4) and were from the municipality of Saguday. No parasites were observed after blood parasite examination (BPE). The study provides information on the fi rst report of T. evansi cases in cattle from Quirino Province located in Region 2 of the Philippines. Consequently the data also presents the fi rst molecular detection of T. evansi infection in cattle in the province of Quirino, Philippines. Introduction One of the most common diseases of livestock that is of critical importance is caused by a protozoan parasite Trypanosoma evansi. The disease trypanosomosis is known locally as surra, " higpit " or " bayawak " .
A regression approach to LS-SVM and sparse realization based on fast subset selection

The Least Squares Support Vector Machine (LS-SVM) is a modified SVM with a ridge regression cost function and equality constraints. It has been successfully applied in many classification problems. But, the common issue for LS-SVM is that it lacks sparseness, which is a serious drawback in its applications. To tackle this problem, a fast approach is proposed in this paper for developing sparse LS-SVM. First, a new regression solution is proposed for the LS-SVM which optimizes the same objective function for the conventional solution. Based on this, a new subset selection method is then adopted to realize the sparse approximation. Simulation results on different benchmark datasets i.e. Checkerboard, two Gaussian datasets, show that the proposed solution can achieve better objective value than conventional LS-SVM, and the proposed approach can achieve a more sparse LS-SVM than the conventional LS-SVM while provide comparable predictive classification accuracy. Additionally, the computational complexity is significantly decreased.
Wave-mechanics and the Zeldovich approximation

The equations of motion of a self-gravitating fluid of collisionless cold dark matter (CDM) particles can be written in the form of a Schrödinger equation coupled to a Poisson equation describing Newtonian gravity. In a spatially flat CDM-dominated universe the Schrödinger equation can be reduced to the free-particle Schrödinger equation and, in an appropriate limit, we show that the free-particle Schrödinger equation can be thought of as a wave-mechanical analogue of the Zeldovich approximation. We use the free-particle Schrödinger equation to formulate an alternative approximation method (the free-particle approximation) that is capable of following the gravitational collapse of density fluctuations into the quasi-linear regime. The free-particle approximation is tested by appealing to a cosmological N-body simulation and results are compared with the results obtained from two established approaches: linear perturbation theory and the Zeldovich-Bernoulli approximation. We find that the free-particle approximation comprehensively out-performs both of these approximation schemes in all tests carried out and thus provides another useful analytical tool for studying structure formation on cosmological scales.
Combined treatment with lenalidomide and epoetin alfa in lower-risk patients with myelodysplastic syndrome.

The erythropoietic effects of lenalidomide are cytokine dependent, suggesting that the erythroid hematologic improvement (HI-E) rate may be augmented by combined treatment (CT) with recombinant human erythropoietin (rhu-EPO) in myelodysplastic syndrome (MDS). In the present study, we explored the benefits of CT and the relationship between lenalidomide pharmacokinetics and hematologic toxicity in transfusion-dependent patients with low- to intermediate-1-risk MDS who failed prior rhu-EPO. In stage I, patients received 10 or 15 mg/d of lenalidomide monotherapy. At week 16, erythroid nonresponders (NRs) were eligible for CT with rhu-EPO 40 000 U/wk. Among 39 patients, HI-E response rate to monotherapy was 86% (6 of 7) in del(5q) and 25% (8 of 32) in non-del(5q) patients (10 mg, 17.7%; 15 mg, 33.3%). Twenty-three patients proceeded to CT, with 6 (26.0%) achieving HI-E. In 19 non-del(5q) patients, 4 (21.1%) showed HI-E. Mean baseline serum EPO in non-del(5q) patients was lower in monotherapy and CT responders than in NR (not statistically significant). Thrombocytopenia was significantly correlated with lenalidomide area under the plasma concentration-time curve (P = .0015), but severity of myelosuppression did not. The benefits of lenalidomide plus rhu-EPO are currently under investigation in a phase 3 Eastern Cooperative Oncology Group (ECOG)-sponsored intergroup study. This study is registered at www.clinicaltrials. gov as NCT00910858.
Better IT services by means of data mining

This article contains description how to create prediction models for more efficient utilization of running IT resources. Prediction model creation is presented as one of the most important steps within the process of the knowledge discovery. Presented models were created based on real data from a local IT company by means of the programming language R. This article also marginally covers the steps, which are to be carried out before the actual modelling. The steps to mention are the following: available data understanding and their subsequent preprocessing for further work, individual attributes analysis using data visualization by means of graphs and tracking certain behavior and correlations in data. First of all, designing models using linear and multiple regression will be followed in detail. Then, the methods of new values prediction will be described using the R language. Finally, the different types of prediction models will be considered using appropriate indicators. The results obtained should assist and simplify the methods of the knowledge discovery in certain enterprises based on the available databases, and also help to choose the most suitable prediction models learning method.
Broadening Views of Social Justice and Teacher Leadership: Addressing LGB Issues in Teacher Education.

Teachers play a critical role in improving teaching, learning, teacherstudent relationships, and school climate (Harris, 2003; Katzenmeyer & Moller, 2001; York-Barr & Duke, 2004), and teacher education programs have a responsibility to prepare teachers to work with every student in their classroom. Kosciw, Diaz, and Greytak (2008) reported that, between 2001 and 2007, although library resources on lesbian, gay, and bisexual (LGB) issues have increased, over this same time period, there has been a decrease in LGB resources in classrooms, and LGB-related issues are less likely to be included in curricula. The 2007 National School Climate Survey (Kosciw et al.) documents lowered grade point averages, poor teacher-student relations, and a hostile school climate for many LGB-identified students. Yet, many new teachers remain resistant to addressing LGB issues; some hesitate out of fear or intimidation (Heifetz & Linsky, 2002). In view of these findings, this heuristic case study asks, “What themes emerge in graduate education students’ written reflections following a guest lecture on LGB-related educational issues? ” Here the authors explain