Miracle-dz/UniFAR-FTUs huggingface dataset:
Region Growing for Segmenting Green Microalgae Images

We describe a specialized methodology for segmenting 2D microscopy digital images of freshwater green microalgae. The goal is to obtain representative algae shapes to extract morphological features to be employed in a posterior step of taxonomical classification of the species. The proposed methodology relies on the seeded region growing principle and on a fine-tuned filtering preprocessing stage to smooth the input image. A contrast enhancement process then takes place to highlight algae regions on a binary pre-segmentation image. This binary image is also employed to determine where to place the seed points and to estimate the statistical probability distributions that characterize the target regions, i.e., the algae areas and the background, respectively. These preliminary stages produce the required information to set the homogeneity criterion for region growing. We evaluate the proposed methodology by comparing its resulting segmentations with a set of corresponding ground-truth segmentations (provided by an expert biologist) and also with segmentations obtained with existing strategies. The experimental results show that our solution achieves highly accurate segmentation rates with greater efficiency, as compared with the performance of standard segmentation approaches and with an alternative previous solution, based on level-sets, also specialized to handle this particular problem.
Molecular Subsetting of Interferon Pathways in Sjögren's Syndrome

Sjögren's syndrome (SS) is an autoimmune disease that targets the salivary and lacrimal glands. While all patients demonstrate inflammatory infiltration and abnormal secretory function in the target tissues, the disease features, pathology, and clinical course can vary. Activation of distinct inflammatory pathways may drive disease heterogeneity. The purpose of this study was to investigate whether activation of the interferon (IFN) pathway correlates with key phenotypic features.
Self‐Determination Theory: Intrinsic Motivation and Behavioral Change

&NA; Motivation is essential in any aspect of behavioral change. For practicing nurses intervening with patients to promote specific behaviors, consideration of the theoretical underpinning for motivation to change or initiate behaviors is key in delivering effective nursing care. Similarly, nurse researchers whose study requires active engagement of individual participants need to consider motivation for adherence to study procedures and interventions. The purpose of this article is to provide an overview of intrinsic motivation as presented in self‐determination theory (SDT).
Local ordering of oxygen vacancies in cubic zirconia stabilized with yttria and magnesia II. Determination of local ordering parameters of oxygen vacancies

Abstract Diffuse scattering produced by oxygen-vacancy local ordering in ZrO2 stabilized by Y2O3 and MgO was studied by Dai et al. in 1996 using electron diffraction. A three-dimensional geometrical model in reciprocal space was established for describing the equal intensity contours of diffuse scattering observed experimentally. In this paper, the kinematical electron diffraction theory is applied to calculate the diffuse scattering produced by oxygen vacancies. A direct relationship between the local ordering parameters and the distribution of diffuse scattering intensity is given. By assuming that the intensity profile across the maximum intensity contour, as defined by the surface of the geometrical model, is a Gaussian shape, the local ordering parameters of oxygen vacancies are determined. The parameters are then reapplied to calculate the distribution of diffuse scattering intensity, and the results show good agreement with the experimental observations. It is concluded that the oxygen vacancy-oxyg.
Modeling signal and ASE evolution in erbium-doped amplifiers with the method of lines

A complete theoretical treatment for modeling erbium-doped waveguide amplifiers (EDWAs) by the method of lines (MoL) numerical scheme is presented. Though a similar approach has previously been applied to the treatment of bent amplifiers, the present procedure is generalized by the inclusion of amplified spontaneous emission (ASE) and bidirectional pumping, which were not included in previous treatments. An iterative scheme is described and its convergence verified. The scheme accounts for the coupling that arises between all the otherwise independent length increments when bidirectional propagation of either pumping or ASE occurs. Since the method uses the electric field rather than the intensity profile, a new treatment of the ASE based on randomizing the phase of the field by the application of a Brownian random process is accordingly developed. Additional information on the ASE power coupled to the whole set of amplifier modes and on the spatial dependence of the noise is obtained. This allows for more effective analysis of the noise figure of devices such as mode evolution couplers, for which mode interference is of primary importance. The theoretical results are compared with experiments, and with results obtained by previous methods applied to similar problems
FR II radio galaxies with z < 0.3 - II. Beaming and unification

In a previous paper we presented measurements of the properties of jets and cores in a large sample of FRII radio galaxies with z < 0.3. Here we test, by means of Monte Carlo simulations, the consistency of those data with models in which the prominences of cores and jets are determined by relativistic beaming. We conclude that relativistic beaming is needed to explain the relationships between core and jet prominences, and that speeds between 0.5 and 0.7c on kpc scales provide the best fits to the data.
Code compliant behaviour of palm kernel shell reinforced concrete (RC) beams in shear

This paper evaluates the shear strength of simply supported palm kernel shell (PKS) concrete and normal weight concrete (NWC) beams subjected to four-point loading. The primary variable of the investigation was evaluation of shear capacity of reinforced PKS concrete and NWC beams with and without shear reinforcement. Four pairs of reinforced concrete (RC) beams with similar geometrical properties were designed and tested with two replicate beams per design. Measured shear strengths at failure were compared with theoretical predictions calculated using BS 8110, ACI 318-05 and EC2. All but one specimen failed as a result of diagonal-tension. PKS beams exhibited lower ultimate shear capacities, smaller crack widths but higher displacements at failure. The performance of the EC 2, BS 8110 and ACI 318-08 code equations in predicting the shear resistance of PKSC and NWC beams is also presented. Based on the test results, it is concluded that shear capacity provisions of ACI give a conservative estimate of shear capacity of PKS lightweight concrete beams while the EC 2 gives a very close prediction of the shear capacity of PKS RC beams. The results of this study increases knowledge on the structural properties of PKS concrete, the efficient use of PKS and reduce the indiscriminate disposal of the PKS as a waste material. Key words: Palm kernel shells, normal weight concrete (NWC), Shear strength, BS 8110, ACI 318, EC 2.
On the use of deep neural networks for the detection of small vehicles in ortho-images

This paper addresses the question of the detection of small targets (vehicles) in ortho-images. This question differs from the general task of detecting objects in images by several aspects. First, the vehicles to be detected are small, typically smaller than 20×20 pixels. Second, due to the multifarious-ness of the landscapes of the earth, several pixel structures similar to that of a vehicle might emerge (roof tops, shadow patterns, rocks, buildings), whereas within the vehicle class the inter-class variability is limited as they all look alike from afar. Finally, the imbalance between the vehicles and the rest of the picture is enormous in most cases. Specifically, this paper is focused on the detection tasks introduced by the VEDAI dataset [1]. This work supports an extensive study of the problems one might face when applying deep neural networks with low resolution and scarce data and proposes some solutions. One of the contributions of this paper is a network severely outperforming the state-of-the-art while being much simpler to implement and a lot faster than competitive approaches. We also list the limitations of this approach and provide several new ideas to further improve our results.
Long Text Generation via Adversarial Training with Leaked Information

Automatically generating coherent and semantically meaningful text has many applications in machine translation, dialogue systems, image captioning, etc. Recently, by combining with policy gradient, Generative Adversarial Nets(GAN) that use a discriminative model to guide the training of the generative model as a reinforcement learning policy has shown promising results in text generation. However, the scalar guiding signal is only available after the entire text has been generated and lacks intermediate information about text structure during the generative process. As such, it limits its success when the length of the generated text samples is long (more than 20 words). In this paper, we propose a new framework, called LeakGAN, to address the problem for long text generation. We allow the discriminative net to leak its own high-level extracted features to the generative net to further help the guidance. The generator incorporates such informative signals into all generation steps through an additional MANAGER module, which takes the extracted features of current generated words and outputs a latent vector to guide the WORKER module for next-word generation.Our extensive experiments on synthetic data and various real-world tasks with Turing test demonstrate that LeakGAN is highly effective in long text generation and also improves the performance in short text generation scenarios. More importantly, without any supervision, LeakGAN would be able to implicitly learn sentence structures only through the interaction between MANAGER and WORKER.
Evaluation of Structured Assessment and Mediating Factors of Suicide-Focused Group Therapy for Veterans Recently Discharged from Inpatient Psychiatry

The current study investigated the impact of adding the Suicide Status Form (SSF) to a suicide-focused group therapy for veterans recently discharged from an inpatient psychiatry setting. A sample of 141 veterans was enrolled and randomized into a Usual Assessment Group Therapy or SSF-Assessment Group Therapy. Participants completed interviews at baseline, 1, and 3 months. No significant differences were observed between groups regarding group attendance (IRR = 1.01, Std. Err = 0.08, 95% CI = 0.87, 1.18) or client satisfaction (β = 0.23, Std. Err = 0.66, p = 0.73, d = −.25). No main effects were observed across the study on secondary outcomes of interest for suicidal ideation and overall symptom distress, although participants in both treatment conditions reported significant improvements on these outcomes over the course of the study. Patients in the Usual Assessment Group Therapy demonstrated greater reductions in overall symptom distress across the 3-month follow-up window (β = 6.08, Std. Err = 2.04, p = 0.003; f2 = 0.05). Follow-up path analyses revealed that more frequent session attendance was significantly related to less suicidal ideation at 1-month, higher working alliance between individual members and group facilitators was associated with greater suicidal ideation at 1-month, and higher group cohesion among group members at 1-month was significantly associated with less thwarted belongingness at 1-month. Although the SSF did not improve the impact of an existing suicide-focused group therapy, the study findings support future research on group treatments for suicidal veterans.
Probing dark matter with star clusters: a dark matter core in the ultra-faint dwarf Eridanus II

We present a new technique to probe the central dark matter (DM) density profile of galaxies that harnesses both the survival and observed properties of star clusters. As a first application, we apply our method to the `ultra-faint' dwarf Eridanus II (Eri II) that has a lone star cluster ~45 pc from its centre. Using a grid of collisional N-body simulations, incorporating the effects of stellar evolution, external tides and dynamical friction, we show that a DM core for Eri II naturally reproduces the size and the projected position of its star cluster. By contrast, a dense cusped galaxy requires the cluster to lie implausibly far from the centre of Eri II (>1 kpc), with a high inclination orbit that must be observed at a particular orbital phase. Our results imply that either a cold DM cusp was `heated up' at the centre of Eri II by bursty star formation, or we are seeing an evidence for physics beyond cold DM.
Diffusional and dislocation creep of NiO polycrystals

Abstract Polycrystals of NiO have been deformed in compression under nominal stresses between 5 and 90 MPa, at temperatures between 1100 and 1450°C. The oxygen activity was changed by the flowing air and an oxygen-argon mixture. At low stresses, the deformation occurs by grain switching, the creep rate being controlled by oxygen self-diffusion along grain boundaries. At high stresses, dislocation recovery creep is the dominant mechanism of deformation; the creep rate is related to oxygen bulk diffusion. The same point defect is responsible for diffusion in the bulk and the grain boundaries.
Building Chinese Affective Resources in Valence-Arousal Dimensions

An increasing amount of research has recently focused on representing affective states as continuous numerical values on multiple dimensions, such as the valence-arousal (VA) space. Compared to the categorical approach that represents affective states as several classes (e.g., positive and negative), the dimensional approach can provide more fine-grained sentiment analysis. However, affective resources with valence-arousal ratings are still very rare, especially for the Chinese language. Therefore, this study builds 1) an affective lexicon called Chinese valence-arousal words (CVAW) containing 1,653 words, and 2) an affective corpus called Chinese valence-arousal text (CVAT) containing 2,009 sentences extracted from web texts. To improve the annotation quality, a corpus cleanup procedure is used to remove outlier ratings and improper texts. Experiments using CVAW words to predict the VA ratings of the CVAT corpus show results comparable to those obtained using English affective resources.
Veni, vidi, vici: the success of wtf meiotic drivers in fission yeast

Meiotic drivers are selfish DNA loci that can bias their own transmission into gametes. Owing to their transmission advantages, meiotic drivers can spread in populations even if the drivers or linked variants decrease organismal fitness. Meiotic drive was first formally described in the 1950s and is thought to be a powerful force shaping eukaryotic genomes. Classic genetic analyses have detected the action of meiotic drivers in plants, filamentous fungi, insects and vertebrates. Several of these drive systems have limited experimental tractability and relatively little is known about the molecular mechanisms of meiotic drive. Recently, however, meiotic drivers were discovered in a yeast species. The Schizosaccharomyces pombe wtf gene family contains several active meiotic drive genes. This review summarizes what is known about the wtf family and highlights its potential as a highly tractable experimental model for molecular and evolutionary characterization of meiotic drive.
Effect of Practice on Performance and Pacing Strategies During an Exercise Circuit Involving Load Carriage

Abstract Burdon, CA, Park, J, Tagami, K, Groeller, H, and Sampson, JA. Effect of practice on performance and pacing strategies during an exercise circuit involving load carriage. J Strength Cond Res 32(3): 700–707, 2018—Pacing is critical for athletic endeavors, and the strategies used by athletes are often modified after practice. The importance of practice when completing occupational assessments has been established; however, the effect of load carriage and discrete subtask activities on strategies to modulate physical exertion to complete a work task simulation is currently unknown. Therefore, we sought to investigate the effect of practice on pacing strategies used to complete a physiological aptitude assessment circuit. Twenty-five participants completed an assessment designed for firefighters on 3 occasions. The circuit comprised 6 disparate tasks (including unilateral load carriage, static holds and fire-hose drags) with lap and task completion times recorded. Pacing strategies were examined relative to the effect of practice throughout (globally) and within the assessment (discrete tasks). By the second visit, overall test performance and discrete task performance of the first, fourth, and fifth tasks improved, respectively, by 12.6% (95% confidence interval: ±3.6%, p < 0.01), 12.4% (±6.0%, p < 0.01), 11.7% (±4.9%, p < 0.01), and 17.8% (±10.0%, p < 0.03). Compared with visit 1, significant improvements in performance were observed on the second and third visit. However, no significant additional improvement was noted between visits 2 and 3. Therefore, to reliably assess performance of the occupational test, 1 practice session (2 visits) is required. Practice is important to allow individuals to optimize their pacing strategy for successful performance.
Serial yes/no reliability after traumatic brain injury: implications regarding the operational criteria for emergence from the minimally conscious state

Background: Published guidelines for defining the “minimally conscious state” (MCS) included behaviours that characterise emergence, specifically “reliable and consistent” functional interactive communication (accurate yes/no responding) and functional use of objects. Guidelines were developed by consensus because of the lack of empirical data to guide definitions. Criticism emerged that individuals with severely impaired cognition would have difficulty achieving the requisite threshold of accuracy and consistency proposed to demonstrate emergence from MCS. Objective: To determine the utility of the operational threshold for emergence from post-traumatic MCS, by evaluating a measure of yes/no accuracy (Cognitive Test for Delirium, auditory processing subtest (CTD-AP). ) Methods: Prospective, consecutive cohort of responsive patients recovering from traumatic brain injury (TBI), including a subset meeting criteria for MCS at neurorehabilitation admission who improved and were able to undergo the study protocol. Participants were evaluated at least weekly, and given the CTD-AP to assess yes/no responding. Results: Of the 1434 observations from 336 participants, 767 observations yielded inaccurate yes/no responses. 75 participants (22%) never attained consistently accurate yes/no responses at any time during their hospitalisation. Generalised estimating equations analysis revealed that confused participants were more likely to respond inaccurately to yes/no questions. Further, the subset of individuals who were in MCS on rehabilitation admission and improved, were also more likely to respond inaccurately to yes/no questions. Conclusions: Consistent yes/no accuracy is uncommon among responsive patients in early recovery from TBI. These results suggest that the operational threshold for yes/no response accuracy as a diagnostic criterion for emergence from MCS should be revisited.
Identification of human papillomavirus (HPV) 16 DNA integration and the ensuing patterns of methylation in HPV‐associated head and neck squamous cell carcinoma cell lines

Recent studies showed that human papillomavirus (HPV) integration contributes to the genomic instability seen in HPV‐associated head and neck squamous cell carcinoma (HPV‐HNSCC). However, the epigenetic alterations induced after HPV integration remains unclear. To identify the molecular details of HPV16 DNA integration and the ensuing patterns of methylation in HNSCC, we performed next‐generation sequencing using a target‐enrichment method for the effective identification of HPV16 integration breakpoints as well as the characterization of genomic sequences adjacent to HPV16 integration breakpoints with three HPV16‐related HNSCC cell lines. The DNA methylation levels of the integrated HPV16 genome and that of the adjacent human genome were also analyzed by bisulfite pyrosequencing. We found various integration loci, including novel integration sites. Integration loci were located predominantly in the intergenic region, with a significant enrichment of the microhomologous sequences between the human and HPV16 genomes at the integration breakpoints. Furthermore, various levels of methylation within both the human genome and the integrated HPV genome at the integration breakpoints in each integrant were observed. Allele‐specific methylation analysis suggested that the HPV16 integrants remained hypomethylated when the flanking host genome was hypomethylated. After integration into highly methylated human genome regions, however, the HPV16 DNA became methylated. In conclusion, we found novel integration sites and methylation patterns in HPV‐HNSCC using our unique method. These findings may provide insights into understanding of viral integration mechanism and virus‐associated carcinogenesis of HPV‐HNSCC.
Entorhinal Cortex Thickness across the Human Lifespan

Human entorhinal cortex (ERC) connects the temporal neocortex with hippocampus and is essential for memory retrieval and navigation. Markedly, there have been only few quantitative MRI works on the ERC geometric measurements in pediatric and adult healthy subjects across the lifespan. Here, we sought to fill this gap in knowledge by quantifying the ERC thickness in a very large cohort of subjects spanning 9 decades of life.
21st Century Cognitive Behavioural Therapy for Anger: A Systematic Review of Research Design, Methodology and Outcome

Background: Past reviews of cognitive behavioural therapy (CBT) for anger have focused on outcome in specific subpopulations, with few questions posed about research design and methodology. Since the turn of the century, there has been a surge of methodologically varied studies awaiting systematic review. Aims: The basic aim was to review this recent literature in terms of trends and patterns in research design, operationalization of anger, and covariates such as social desirability bias (SDB). Also of interest was clinical outcome. Method: After successive culling, 42 relevant studies were retained. These were subjected to a rapid evidence assessment (REA) with special attention to design (ranked on the Scientific Methods Scale) measurement methodology (self-monitored behaviour, anger questionnaires, and others’ ratings), SDB assessment, and statistical versus clinical significance. Results: The randomized controlled trial characterized 60% of the studies, and the State Trait Anger Expression Inventory was the dominant measure of anger. All but one of the studies reported statistically significant outcome, and all but one of the 21 studies evaluating clinical significance laid claim to it. The one study with neither statistical nor clinical significance was the only one that had assessed and corrected for SDB. Conclusions: Measures remain relatively narrow in scope, but study designs have improved, and the outcomes suggest efficacy and clinical effectiveness. In conjunction with previous findings of an inverse relationship between anger and SDB, the results raise the possibility that the favourable picture of CBT for anger may need closer scrutiny with SDB and other methodological details in mind.