Miracle-dz/UniFAR-FTUs huggingface dataset:
A non-occluded, systemic baculovirus that occurs in cells of ectodermal and mesodermal origin and causes high mortality in the black tiger prawn Penaeus monodon.

In the course of experimental infection of Penaeus monodon wlth yellow-head virus [YHV) for virus isolation and purification, 1 batch of prawns yielded hemolymph fractions dominated by a previously undescribed non-occluded baculovirus rather than YHV. Injection of test shrimp with a semipurified preparation of this virus gave rapid mortality, and examination with the transmission electron microscope revealed a dual infection where cells containing the new virus dominated, but some cells containing YHV could also be seen. The tissues infected by the 2 viruses were similar. However, in contrast to YHV, the new virus was assembled completely in the nucleus and in the absence of occluding protein (polyhedrin). By normal histology, the most characteristic feature of infection was eosinophilic Cowdry A-type inclusions in hypertrophied nuclei with marginated chromatin, especially in epithelial cells of the stomach. These intranuclear inclusions became lightly basophilic in late stages of infection. In the epithelial cells of the gills, ultrastructural pathology included nuclear hypertrophy and cytoplasmic disintegration leading to large voids at lysed cell sites. By negative staining, completely assembled, enveloped virions were ellipsoid to obovate with a distinctive multifibrillar appendage and they measured 276 x 121 nm (excluding the appendage). Enveloped and unenveloped nucleocapsids were significantly different In size, indicating posslble shortening and thickening of the viral core and nucleocapsid during viral assembly. Isolation and punficat~on of the nucleic acid from the new virus yielded double-stranded DNA of approximately 168 lulo base pairs. This DNA did not cross-hybridize with DNA fragments isolated from YHV-infected shrimp or from monodon baculovirus (MBV). The features placed t h ~ s virus in the family Baculoviridae, subfamily Nudibaculovirinae as PmNOBII, but for convenience we have named it informally as Systemic Ectodermal and Mesodermal Baculovirus (SEMBV).
Exercise assessments and trainings of pulmonary rehabilitation in COPD: a literature review

Skeletal muscle dysfunction leads to reduction in activity in patients with COPD. As an essential part of the management of COPD, pulmonary rehabilitation (PR) alleviates dyspnea and fatigue, improves exercise tolerance and health-related quality of life, and reduces hospital admissions and mortality for COPD patients. Exercise is the key component of PR, which is composed of exercise assessment and training therapy. To evaluate PR’s application in clinical practice, this article summarizes the common methods of exercise measurement and exercise training for patients with COPD. Exercise assessments should calculate patients’ symptoms, endurance, strength, and health-related quality of life. After calculation, detailed exercise therapies should be developed, which may involve endurance, strength, and respiratory training. The detailed exercise training of each modality is mentioned in this review. Although various methods and therapies of PR have been used in COPD patients, developing an individualized exercise training prescription is the target. More studies are warranted to support the evidence and examine the effects of long-term benefits of exercise training for patients with COPD in each stage.
Chemotherapy with or without pemetrexed as second-line regimens for advanced non-small-cell lung cancer patients who have progressed after first-line EGFR TKIs: a systematic review and meta-analysis

Purpose The development of acquired resistance to the first-line epidermal growth factor-tyrosine kinase inhibitor (EGFR-TKI) treatment in non-small-cell lung cancer (NSCLC) is inevitable, and most of these patients needed second-line chemotherapy. Furthermore, the optimum chemotherapeutic regimen is unclear. The aim of this meta-analysis was to evaluate the chemotherapeutic regimens “with-pemetrexed” versus “non-pemetrexed” in advanced NSCLC patients who had progressed after first-line EGFR-TKIs. Materials and methods We searched PubMed, Embase, Cochrane Library, and the Web of science for relevant clinical trials. Outcomes analyzed were response rate (RR), disease control rate (DCR), 1-year survival rate (1-year SR), progression-free survival (PFS), and overall survival (OS). Results One randomized controlled trial (RCT) and three retrospective studies were included in this meta-analysis, covering a total of 354 patients. The results showed that there was no significant difference between with-pemetrexed arm and non-pemetrexed arm in RR (OR 1.43, 95% CI 0.85–2.41, P=0.18), DCR (OR 1.5, 95% CI 0.94–2.39, P=0.09), and 1-year SR (OR 1.47, 95% CI 0.79–2.74, P=0.22). But the with-pemetrexed chemotherapeutic regimens significantly improved the PFS (HR 0.61, 95% CI 0.46–0.81, P=0.0005) and OS (HR 0.62, 95% CI 0.42–0.90, P=0.01). Conclusion The second-line with-pemetrexed chemotherapeutic regimens provided significantly longer PFS and OS than non-pemetrexed chemotherapeutic regimens. These findings indicate that the with-pemetrexed chemotherapeutic regimen may be an optimal second-line chemotherapeutic regimen for patients with advanced NSCLC following EGFR-TKI failure.
A wavelet-approximate entropy method for epileptic activity detection from EEG and its sub-bands

Epilepsy is a common brain disorder that about 1% of world's population suffers from this disorder. EEG signal is summation of brain electrical activities and has a lot of information about brain states and also used in several epilepsy detection methods. In this study, a wavelet-approximate entropy method is ap-plied for epilepsy detection from EEG signal. First wavelet analysis is applied for decomposing the EEG signal to delta, theta, alpha, beta and gamma sub- ands. Then approximate entropy that is a chaotic measure and can be used in estimation complexity of time series applied to EEG and its sub-bands. We used this method for separating 5 group EEG signals (healthy with opened eye, healthy with closed eye, interictal in none focal zone, interictal in focal zone and seizure onset signals). For evaluating separation ability of this method we used t-student statistical analysis. For all pair of groups we have 99.99% separation probability in at least 2 bands of these 6 bands (EEG and its 5 sub-bands). In comparing some groups we have over 99.98% for EEG and all its sub-bands.
RaMP: A Lightweight RDMA Abstraction for Loosely Coupled Applications

RDMA can be used to implement a shared storage abstraction for distributed applications. We argue that for loosely coupled applications, such an approach is overkill. For such applications, we propose RAMP, a much lighter weight alternative. RAMP uses RDMA only to support occasional coordination operations. We use a load balancing example to show that RAMP can effectively support such applications.
Genetic Evidence for Sympatric Populations of Yellow Perch (Perca flavescens) in Lake Saint-Pierre (Canada): the Crucial First Step in Developing a Fishery Management Plan

To ensure the persistence of species facing anthropogenic pressures, an understanding of the dynamics and mechanisms that structure populations is of major importance. Determining the presence of distinct populations is a first step when sympatric populations are suspected. Yellow perch ( Perca flavescens ) is exploited by sport and commercial fishing in Lake Saint-Pierre (Quebec, Canada). Because habitat characteristics are spatially structured and this species is known to display natal site fidelity, this study’s aim was to assess whether sympatric populations of yellow perch coexist in Lake Saint-Pierre. Low genetic differentiation is predicted due to the recent colonization of the system (<8,000 years). Simulations were first performed to confirm that population differentiation is better depicted using AFLP than microsatellite markers. A survey of the variation throughout the entire genome was then performed using the AFLP approach. To link individuals to their natal site, recently emerged larvae from different cohorts captured at different stations were analyzed. Results from three distinct AFLP surveys indicated a correlation between the genetic composition of individuals and geographic sites. These results confirmed the presence of multiple sympatric populations in Lake Saint-Pierre, resulting from natal site fidelity. While the genetic differentiation is very low, the management of this species should take into account the existence of distinct population structures.
Higher Fat Low Carbohydrate Diet to Improve Health Related Quality of Life for Overweight or Obese Diabetics in a Primary Care Clinic

4 Introduction . 5 Problem . 5 Purpose and Summary of plan.5 Background.6 Review of the Literature.8 Health Related Quality of Life.9 Weight Loss, BMI, and Higher Fat Low Carbohydrate Diet.9 Hemoglobin A1c (HA1c). 11 Metabolic Markers.12 Theoretical Framework.13 Project Design and Methods.16 Goals, Objectives, and Expected Outcomes.16 Data Analysis.17 Setting and Resource.18 Description of the group, population or community.19 Ethics and Human Subjects Protection.19 Results.20 HFLC DIET 3 Outcomes.20 Facilitators and Barriers.22 Discussion.24 Conclusion.25 References.27 Appendices.32
Implementation of Signal Processing Methods in a Structural Health Monitoring (SHM) System based on Ultrasonic Guided Waves for Defect Detection in Different Materials and Structures

The local defect inspection in longitudinal structures such as plates or pipelines implies high economical costs and it is time consuming mainly in underground infrastructures, energy or water, and aerospace sectors. Moreover, if these structures are non-accessible, their local inspection is not possible. Ultrasonic (US) inspection technique based on guided waves is one of the potential alternatives to address this issue. The US inspection based on these type of waves could be applied in many scenarios to monitor the damage state of structures; i.e., in water underground pipelines to identify the wall thickness losses or impact damage detection on Carbon Fiber Reinforced Composites (CFRC). A SHM system based on guided waves requires a special signal processing in order to identify possible damage in the structure. The signal emitted and received is a combination of different propagation modes which are difficult to identify and analyse. However, if the signals are compared to each other (signal related to non-damaged components compared to damaged signal) it is possible to measure their difference as a distance that can be used to estimate the damage level. In this work, signals corresponding to non-damaged samples have been captured and then different types of damage have been applied for different cases. After the data acquisition phase, the comparison between signals has been carried out by applying different mathematical methods and distance metrics (SDC, DTW, Euclidean, Manhattan and Chebyshev), with the aim of detecting defects in different structures and materials. For this purpose, two cases have been analysed: 1) In CFRC plates subjected to impact damage and deformations and 2) In a pipe coated by cement-mortar in order to quantify the wall thickness losses. In both cases ultrasonic PZT sensors, an ultrasonic multichannel pulser/receiver and a software developed ad-hoc have been used. Although the SHM system components were similar, it must be noted that the type of ultrasonic guided waves used were different; in the case of CFRC plates, Lamb waves were excited whereas in the case of the pipeline, Love waves have been used. A comparison between the above mentioned methods is provided. The results show the validity of the approach for damage characterization.
Elastic sketch: adaptive and fast network-wide measurements

When network is undergoing problems such as congestion, scan attack, DDoS attack, etc., measurements are much more important than usual. In this case, traffic characteristics including available bandwidth, packet rate, and flow size distribution vary drastically, significantly degrading the performance of measurements. To address this issue, we propose the Elastic sketch. It is adaptive to currently traffic characteristics. Besides, it is generic to measurement tasks and platforms. We implement the Elastic sketch on six platforms: P4, FPGA, GPU, CPU, multi-core CPU, and OVS, to process six typical measurement tasks. Experimental results and theoretical analysis show that the Elastic sketch can adapt well to traffic characteristics. Compared to the state-of-the-art, the Elastic sketch achieves 44.6 ∼ 45.2 times faster speed and 2.0 ∼ 273.7 smaller error rate.
Perceiving that one’s partner is supportive moderates the associations among attachment insecurity and psychosexual variables

Attachment representations are associated with psychosexual adjustment in intimate relationships (Mikulincer & Shaver, 2007). Few studies, however, have investigated relationship processes modulating the effect of attachment insecurity on sexuality (Dewitte, 2012). This study examined whether perceived partner support moderates associations among romantic attachment (i.e., anxiety and avoidance) and sexual self-esteem, sexual anxiety, and sexual assertiveness in individuals involved in a romantic relationship (N = 214). Results showed that individuals high on avoidance reported lower sexual self-esteem and assertiveness, as well as more sexual anxiety. Unexpectedly, they reported more sexual anxiety and poorer sexual assertiveness when partner support was perceived to be high. Moreover, low perceived partner support was related to higher sexual self-esteem in women scoring high on attachment avoidance whereas high perceived partner support was related to higher sexual self-esteem in men scoring high on avoidance. Individuals scoring high on attachment anxiety reported poorer sexual self-esteem and more sexual anxiety when partner support was perceived to be low, but attachment anxiety was unrelated to either sexual anxiety or self-esteem when partner support was perceived to be high. Findings are consistent with attachment theory and suggest clinical implications for individuals presenting with attachment insecurity.
Taxonomy of Mitigation Strategies for Driver Distraction

Driver distraction can be described as the diversion of driver's attention from the primary task of driving and is one of the most common causes of crashes. Complex technologies that have either been introduced to the driving domain or are planned to be, raise the concern of high levels of distraction, by placing additional demands on drivers. Different mitigation strategies (e.g., warning and vehicle control) have been implemented in the vehicle to reduce driver distraction. However there has not been a clear definition or categorization of these strategies. This paper, therefore, proposes a taxonomy of mitigation strategies for driver distraction and relates the strategies to accumulated research in the areas of automation and adaptive aiding to define important design tradeoffs with each strategy. This taxonomy provides a framework that can guide research and address the driver distraction problem systematically.
Role of IL-32 Gamma on Bone Metabolism in Autoimmune Arthritis

IL-32 acts as a pro-inflammatory cytokine by inducing the synthesis of inflammatory molecules as well as promoting the morphological changes involved in the transformation of monocytes into osteoclasts (OCs). Evaluation of the functions of IL-32 has mainly focused on its inflammatory properties, such as involvement in the pathogenesis of various autoimmune diseases. Recently, IL-32 was shown to be involved in bone metabolism, in which it promotes the differentiation and activation of OCs and plays a key role in bone resorption in inflammatory conditions. IL-32γ also regulates bone formation in conditions such as ankylosing spondylitis and osteoporosis. In this review, we summarize the results of recent studies on the role of IL-32γ in bone metabolism in inflammatory arthritis.
A review of associative classification mining FAD

Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers. In the last few years, a number of associative classification algorithms have been proposed, i.e. CPAR, CMAR, MCAR, MMAC and others. These algorithms employ several different rule discovery, rule ranking, rule pruning, rule prediction and rule evaluation methods. This paper focuses on surveying and comparing the state-of-the-art associative classification techniques with regards to the above criteria. Finally, future directions in associative classification, such as incremental learning and mining low-quality data sets, are also highlighted in this paper.
Characterising Deprecated Android APIs

Because of functionality evolution, or security and performance-related changes, some APIs eventually become unnecessary in a software system and thus need to be cleaned to ensure proper maintainability. Those APIs are typically marked first as deprecated APIs and, as recommended, follow through a deprecated-replace-remove cycle, giving an opportunity to client application developers to smoothly adapt their code in next updates. Such a mechanism is adopted in the Android framework development where thousands of reusable APIs are made available to Android app developers. In this work, we present a research-based prototype tool called CDA and apply it to different revisions (i.e., releases or tags) of the Android framework code for characterising deprecated APIs. Based on the data mined by CDA, we then perform an exploratory study on API deprecation in the Android ecosystem and the associated challenges for maintaining quality apps. In particular, we investigate the prevalence of deprecated APIs, their annotations and documentation, their removal and consequences, their replacement messages, as well as developer reactions to API deprecation. Experimental results reveal several findings that further provide promising insights for future research directions related to deprecated Android APIs. Notably, by mining the source code of the Android framework base, we have identified three bugs related to deprecated APIs. These bugs have been quickly assigned and positively appreciated by the framework maintainers, who claim that these issues will be updated in future releases.
IMPROVING CLUSTERING RESULTS USING RE-EVALUATION OF BOUNDARY DATA

Image segmentation is preliminary stage in diagnosis tools and the accurate segmentation of brain images is crucial for a correct diagnosis by these tools. Due to inhomogeneity, low contrast, noise and inequality of content with semantic; brain MRI image segmentation is a challenging job. A post processing algorithm for improvement of clustering accuracy is proposed. The proposed algorithm re-evaluates boundary data to reduce clustering error. Proposed algorithm quantitatively evaluated by applying the mentioned algorithm on two recently reported clustering algorithms. The proposed algorithm improved clustering results and gives comparable results when user interaction is applied to the clustering algorithms.
Consequences of the introduction of exotic and translocated species and future extirpations on the functional diversity of freshwater fish assemblages

Aim To explore the effects of the introduction of exotic and translocated species and possible future extirpation of native species on the functional diversity (FD) of freshwater fish assemblages. Location Japanese archipelago. Methods We examined spatio-temporal changes in species richness, FD, functional richness (the number of trait-based functional groups), and the functional group composition between historical and current fish assemblages for 27 eco-regions, and compared the relative effects of the introduction of exotic and translocated species on FD. We also used a null model approach to determine the assembly patterns and the extent of functional redundancy. Finally, we determined the effect of the loss of endangered species on FD by comparing the observed losses with simulated random loss. Results Through the introductions of non-native species, the species richness, FD and functional richness of the fish assemblages increased 2.4-, 1.6- and 2.1-fold, respectively. The functional group composition also changed largely through the additions of new functional groups. Exotic species had a significantly greater effect size than translocated species, but there were no differences in the overall net effects of exotic and translocated species. Null modelling approaches showed that the observed FD was higher than expected by chance (i.e. trait divergent) in both historical and current assemblages. There was also low functional redundancy. In our simulation, FD decreased in proportion to the loss of species, independent of whether the species were endangered. Main conclusions We demonstrated that both exotic and translocated species may change FD and functional group composition, which might have dramatic consequences for ecosystem processes. We suggest that the future extirpation of even a few native species can cause a substantial loss of FD. Our findings emphasize the need to improve conservation strategies based on species richness and conservation status, and to incorporate translocated species into targets of the management of non-native species.
[Journal First] Measuring Program Comprehension: A Large-Scale Field Study with Professionals

This paper is published in IEEE Transaction on Software Engineering (DOI: 10.1109/TSE.2017.2734091). Comparing with previous programming comprehension studies that are usually in controlled settings or have a small number of participants, we perform a more realistic investigation of program comprehension activities. To do this, we extend our ActivitySpace framework to collect and analyze Human-Computer Interaction (HCI) data across many applications (not just the IDEs). We collect 3,148 working hour data from 78 professional developers in a field study. We follow Minelli et al.'s approach to assign developers' activities into four categories: navigation, editing, comprehension, and other. Then we measure comprehension time by calculating the time that developers spend on program comprehension. We find that on average developers spend ~58% of their time on program comprehension activities, and that they frequently use web browsers and document editors to perform program comprehension activities. We also investigate the impact of programming language, developers' experience, and project phase on the time that is spent on program comprehension.