Miracle-dz/UniFAR-FTUs huggingface dataset:
The seismic architecture and geometry of grounding-zone wedges formed at the marine margins of past ice sheets

Grounding-zone wedges form where halts of decades to centuries during ice-sheet retreat across polar shelves allow sediment buildup at the grounding zone through delivery of deforming basal debris from fast-flowing ice streams. Thirty grounding-zone wedges were identified on two-dimensional seismic-reflection profiles across the continental shelves of NE and NW Greenland. Grounding-zone wedges close to the seafloor are probably of late Weichselian age; others are on paleoshelves, buried beneath thick prograding glacial sediments. Several Greenland-shelf grounding-zone wedges occur on topographic highs that provide stabilizing pinning points in relatively shallow water. Grounding-zone wedges are asymmetric in the ice-flow direction with steeper ice-distal sides. Typical grounding-zone wedges are approximately 5–20 km long and 50–100 m thick, with a lateral width of several tens of kilometers. Forty grounding-zone wedges from the Greenland, Norwegian, and Antarctica margins show considerable variability about these values. Grounding-zone wedge dimensions are controlled by sediment flux, the duration of halts in ice retreat, subice cavity shape, and ice-stream width. Low-angle ice-shelf cavity roofs immediately beyond the grounding-zone probably restrict vertical accommodation space, preventing formation of high-amplitude ridges. Grounding-zone wedges are mainly transparent or chaotic on seismic profiles, probably resulting from delivery of diamictic debris. Offlapping reflectors represent progradation into an ice-roofed cavity. Reflector truncations of grounding-zone wedge bases indicate erosion during initiation. Channels are present within some grounding-zone wedges; meltwater flow is under high pressure, and V-shaped incisions suggest high-energy flow. Channels are not ubiquitous within Greenland grounding-zone wedges and may represent nonsteady meltwater release, perhaps through lake drainage. Where ice-sheet mass loss is dominated by meltwater runoff, grounding-zone wedges probably contain more sorted sediment than those from Greenland. Simple models of grounding-zone wedge architecture are presented. Grounding-zone wedges indicate episodic rather than catastrophic ice-sheet retreat and are a mechanism for ice-shelf stabilization because wedge growth counteracts collapse induced by ice-sheet thinning and sea-level rise.
Flow and turbulence structure across the ripple–dune transition: an experiment under mobile bed conditions

Current knowledge of flow and turbulent processes acting across the sand bed continuum is still unable to unequivocally explain the mechanism(s) by which ripples become dunes. Understanding has been improved by comparative high‐resolution studies undertaken over fixed bedforms at different stages in the continuum. However, these studies both ignore the role of mobile sediment and do not examine flow structure during the actual transition from ripples to dunes. The aims of the paper are: (i) to describe flow and turbulence characteristics acting above mobile bedforms at several stages across the transition; and (ii) to compare these data with those arising from experiments over fixed ripples and dunes. Laboratory experiments are presented that examine the turbulence structure across seven distinct stages of the transition from ripples to dunes. Single‐point acoustic Doppler velocimeter sampling at three flow heights above a developing mobile boundary was undertaken. Time‐averaged statistics and the instantaneous quadrant record reveal distinct changes in flow structure either side of the change from ripples to dunes. Initially, shear‐related, high‐frequency vortex shedding dominates turbulence production. This increases until two‐dimensional (2D) dunes have formed. Thereafter, turbulence intensities and Reynolds stress decline and three‐dimensional dunes exhibit values found over 2D ripples. This is the result of shear layer dampening which occurs when the topographically‐accelerated downstream velocity increases at a faster rate than flow depth. Activity at reattachment increases due to high velocity fluid imparting high mass and momentum transfer at the bed and/or wake flapping. Suspended sediment may also play a role in turbulence dampening and bed erosion. Ejections dominate over sweeps in terms of event frequency but not magnitude. Strong relationships between inward interactions and sweeps, and ejections and outward interactions, suggest that mass and momentum exchanges are dependent upon activity in all four quadrants. The results contradict the notion present in most physical models that larger bedforms exhibit most shear layer activity. Consequently an improved model for the ripple–dune transition is proposed.
Cooling of the wintertime Arctic stratosphere induced by the western Pacific teleconnection pattern

A composite analysis for extreme positive events of the Western Pacific (WP) teleconnection pattern with blocking flow configurations observed over the subpolar Far East shows that such an event in winter can trigger a persistent cold period in the polar stratosphere and, if it occurs in fall or early winter, it augments the possibility of the formation of polar stratospheric clouds. The stratospheric cooling occurs in conjunction with the weakening of upper‐tropospheric planetary waves and their upward propagation into the stratosphere soon after the peak time of the WP pattern. Synoptically, this weakening of the upper‐tropospheric planetary waves is manifested as westward evolution of a developing blocking high into the climatological‐mean pressure trough over the subpolar Far East. This study thus presents a unique case where a blocking high can induce cooling in the polar stratosphere rather than warming.
Eosinophil cationic protein : Is it useful in asthma ?

s of articles reviewed and the following inclusion criteria applied: 1. ECP was used as a biological marker (regardless of body fluid sampled). 2. Asthma was the index disease studied (regardless of type 3. It was a controlled clinical study. 4. ECP was assssed as a diagnostic, assessment or management tool. Potential articles identified = 169 (519 were excluded) Full text articles were obtained and reviewed. Relevant articles cited in Date of Search: 2 Jan 2006 Medline search: using key terms “eosinophil cationic protein” and “asthma” Limited to title/abstracts and human studies only. Similar search done in Thorax, American Journal of Respiratory and Critical Care Medicine, European Respiratory Journal, Respiratory Medicine and Journal of Asthma.
Effects of learners’ choice of video self-modeling on performance accuracy and perceived cognitive consistency

Introduction: Video self-modeling is often used to improve motor learning. Meanwhile, the need to consider methods that allow learners to make their own choices to provide efficient observational learning has been suggested. Purpose: In this study, we examined the effects of viewing video self-modeling created from the material chosen by learners. The results of interest were (1) whether learners’ chosen video self-modeling material influenced ball-throwing accuracy and cognitive consistency with success experiences between learners’ motor imagery and their video self-modeling and (2) the relationship between cognitive consistency and each variable. Methods: Thirty-six participants were randomly assigned to three groups: (1) self-choice group (participants selected the video self-modeling clip), (2) other-choice group (experimenter selected the clip), and (3) control group (no clip viewing). The experimental task involved ball-throwing performed with the non-dominant hand (six blocks with five trials each). We measured motivation, cognitive consistency, self-efficacy, and performance results (ball movement cessation position) by recording ball-throwing accuracy and stability. Results: Throwing stability was significantly reduced in blocks 5 and 6 compared to block 1 in all groups. Cognitive consistency scores were significantly higher in the self-choice group than in the other-choice group. In all groups, motivation and self-efficacy were higher after the task. Furthermore, the self-choice group showed a positive correlation between cognitive consistency and motivation and a negative correlation between cognitive consistency and throwing stability. In contrast, the other-choice group only showed a negative correlation between cognitive consistency and ball-throwing stability. Conclusions: Although the results of the present study did not demonstrate different effects of video choice on performance, it has been suggested that a learner’s chosen video self-modeling material may positively influence ball-throwing stability and variables such as cognitive consistency and motivation.
Expression of Cathepsin B by Oligodendrogliomas: An Immunohistochemical Study

: Degradation of extracellular matrix (ECM) is an essential prerequisite for invasive growth of brain tumours. There is evidence from investigations of CNS-neoplasmas that secreted proteolytic enzymes may facilitate tumour invasion by partial degradation of ECM. Among the enzymes which may be involved are cysteine proteinases, especially cathepsin B (CB). Cathepsin B is a lysosomal tissue proteine, which in cooperation with other enzymes is responsible for degradation of ECM and basement membrane (BM) components in gliomas. CB participates in the proteolysis and decomposition of laminin which is part of the basement membrane. Furthermore, CB probably can also degrade fibronectin and type IV-collagen, which are important components of ECM. In the present investigations 78 oligodendrogliomas were examined immunohisto-chemically for CB-expression and increased levels of CB-expression were found in high grade oligodendroglial tumours. Upregulation of CB-expression correlated in the present study with tumour dedifferentiation and in high-grade oligodendrogliomas the expression of CB correlated negatively with survival.
Multi-sensors integrated system for landslide monitoring: critical issues in system setup and data management

Abstract This paper discusses critical issues related to the reliability of topographic monitoring systems such as ATS (Automated Total Stations), GNSS (Global Navigation Satellite System) and Ground Based InSAR focusing the attention on controlling the stability of networks infrastructure, which have influence on data correction procedures but are often taken for granted, and on integrating results in GIS (Geographic Information System), under a common reference framework and with respect to open-access ancillary data. The novelty of the paper lies in the demonstration of the efficiency obtained by a proper implementation of the system. Discussion makes reference to an active landslide by using ATS, GNSS and Ground Based InSAR in continuous and periodic mode.
Nursing intervention for managing feeling of strain,shame and coping of Parents with ADHD Children

: This study aimed to evaluate the effectiveness of nursing intervention on decreasing the level of shame, strain & improving the coping methods of parents with attention deficit hyperactivity disorder (ADHD) children. Design: A quasi-experimental (one group pre/post) design was utilized in this study. Sample: A purposive sample of 40 ADHD children with their parents was targeted and recruited for engaging in this study. Setting: The study was conducted in the Child Psychiatry Clinic at The Center of Social and Preventive Medicine, Faculty of Medicine, Cairo University.Tools of data collection: A structured interview questionnaire. It was designed by the researchers. It included the following parts; Demographic characteristics of children such as child code number, age, gender, address, child rank, duration of illness), data related to parents included age, educational level, presence of hereditary factor, occupation and marital status. The Brief Coping Orientation to Problems Experienced, Caregiver Strain Questionnaire, Parental Shame Scale. Results: There were highly statistical significant differences between mean scores of pre-post intervention regarding all studied variables related to knowledge, feeling of shame, strain and coping. In relation to pre/post intervention, there was a statistical significant correlation between parents’ knowledge and coping in post intervention and feeling of shame in pre intervention. Also, there was statistical significant correlation between strain and coping pre intervention and strain pre/post intervention.While, there was no statistical significant correlation between other variables. Conclusion: Nursing intervention was effective in improving parents’ methods of coping, feeling of shame and strainRecommendation: The application of this research will be of interest to education authorities, especially those concerned in bridging the gap between home and school to helpyoung people with ADHD.
Public perception of media Framing of the operation of the Civilian Joint Task Force in Nigeria

The aim of this study was to determine media framing of the activities of the Civilian Joint Task Force and how the public perceive such coverage. The study has four research objectives that were converted to research questions. The researchers utilized survey research design with questionnaire as the instrument for data collection. In the analysis of the result of the study, the researchers made use of simple percentages while results were presented in tables The result of the study showed that media reports did not properly highlight the contribution of Civilian Joint Task Force in the fight against terrorism in Nigeria
ACR Appropriateness Criteria® Staging and Follow-up of Primary ACR Appropriateness Criteria® Staging and Follow-up of Primary Vaginal Cancer. Vaginal Cancer.

Primary vaginal cancer is rare, comprising 1% to 2% of gynecologic malignancies and 20% of all malignancies involving the vagina. More frequently, the vagina is involved secondarily by direct invasion from malignancies originating in adjacent organs or by metastases from other pelvic or extrapelvic primary malignancies. Data on the use of imaging in vaginal cancer are sparse. Insights are derived from the study of imaging in cervical cancer and have reasonable generalizability to vaginal cancer due to similar tumor biology. Given the trend toward de ﬁ nitive chemoradiation for both cancers in all but early stage lesions, principles of postchemoradiation tumor response evaluation are largely analogous. Accordingly, many of the recommendations outlined here are informed by principles translated from the literature on cervical cancer. For pretreatment assessment of local tumor burden and in the case of recurrent vaginal cancer, MRI is the preferred imaging modality. PET/CT has demonstrated utility for the detection of nodal metastatic and unexpected distant metastatic disease. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for speci ﬁ c clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the
Comparison with Surgical Confirmation Myelography, and CT Myelography Recess: MR Imaging, Conventional Lumbar Root Compression in the Lateral

BACKGROUND AND PURPOSE: Previous authors have shown that conventional myelogra-phy is superior to plain CT in the assessment of root compression in the lateral recess, but this question has never been evaluated with respect to MR imaging of the lumbar level. Our purpose was to assess the accuracy of MR imaging, conventional myelography, and postmyelography CT (CT myelography) of the lumbar level in identifying degenerative lateral recess root compression with surgical confirmation. METHODS: MR imaging, conventional myelography, and CT myelography of the lumbar level were assessed in the imaging of 58 lateral recesses at 38 lumbar levels in 26 patients who underwent surgery for radiculopathy with degenerative lateral recess abnormality. Each lateral recess was graded as normal, small without root compression, small with root compression, or severe root compression. RESULTS: MR imaging underestimated root compression in 28% to 29% of the cases in which root impingement was surgically confirmed. Conventional myelography underestimated root compression in only 5% to 7% of the cases and correctly predicted impingement in 93% to 95%. CT myelography underestimated root compression in 38% of the surgically confirmed cases. CONCLUSION: MR imaging significantly underestimated root compression caused by degenerative changes in the lateral recess. Although MR imaging is a superb study when used in the search for degenerative disk disease and disk protrusion, conventional myelography is a crucial supplemental study that is necessary to confirm degenerative root impingement in the lateral recess as the cause of radiculopathy.
THE IMPACT OF BRANDING ON CONSUMER BEHAVIOUR IN THE COSMETIC INDUSTRY IN DELTA STATE

: The aim of this study is to determine the extent to which branding influences consumers' buying behaviour. The purpose of this research is to look at the variables that influence consumers buying behaviours. A well-structured questionnaire was used to gather primary data from respondents in the three senatorial districts of Delta State, which are Delta South, Delta Central, and Delta North. Selected supermarkets within specified cities of the three senatorial districts were also randomly chosen. The results of the study indicated that consumers' decisions for product brands are significantly influenced by branded product, making it the key component to take into considerations. However, there is significant relationship between the construct of branding and consumer buying behaviour. It was recommended that producerss should focus more on a well branded product and strategies that would arouse buying decisions.
Inﬂation, Equity Market Volatility, and Bond Prices: Evidence from G7 Countries

: This study examines the impacts of the US inﬂation rate on the bond prices of G7 countries across different maturities using inﬂation-induced equity market volatility (EMV) to better account for bond price determinants. The regression model, a GED-GARCH (1,1) procedure, is adopted to deal with the volatility clustering and fat tail features in bond return estimation. The testing results indicate that the inﬂation rate has a negative effect on bond returns across different maturities, although an exception occurs for longer maturities in Japan. Evidence shows that US inﬂation has a signiﬁcant impact on bond returns for the non-US G7 countries. The negative effects from US inﬂation are more profound than those from the domestic market (expect in Japan). This study introduces the equity market volatility arising from inﬂation or the Fed’s interest rate change; this variable produces market volatility that has a positive effect on bond returns, offsetting part of the original negative effect from a rise in inﬂation.
EdgeGNN-Transformer: Extract the Change Edge Signal in Power Grid Management

Under the background of low carbon emissions, automatic power dispatching has emerged as a crucial field of study. The Learning to Run a Power Network Challenge (L2RPN) models this problem as a reinforcement learning task. The entire pipeline can be divided into two stages: the first stage is the feature extractor, which uses GNN or transformer to extract timing signals such as power generation and loads in the power grid environment, and operating signals of power plants to obtain abstract advanced features (F). The second stage is a policy generator, which learns the optimal dispatching strategy action based on the F features generated in the first stage and reward-punishment functions, ensuring the smooth operation of the power grid. However, In the first stage, they only focus on the feature changes on the nodes in the power grid, ignoring the changes between the connections of the power grid nodes. To address this issue, Our algorithm proposes a new type of feature extractor, the EdgeGNN-Transformer, which can effectively extract the change signal on the grid topology and represent the real situation of the power grid, thereby improving the dispatching strategy’s effectiveness. Experiments prove that our algorithm outperforms SMAAC (ICLR2021) [1] on three datasets, IEEE-5, IEEE-14, and L2RPN WCCI2020. Our code will be open-sourced after the paper has been accepted.
VK-SITS: a Robust Time-Surface for Fast Event-Based Recognition

Event-based cameras are non-conventional sensors that offer movement perception with high dynamic range, high temporal resolution, high power efficiency, and low latency. Nevertheless, because event data are asynchronous and sparse, traditional machine learning and deep learning tools are not suited for this data format. A common practice in event representation learning is to generate image-like representations, usually referred to as time-surfaces. In this paper, we focus on the VK-SITS representation, an end-to-end trainable, spatial and speed-invariant time-surface. We perform additional experiments and an analysis of the influence of meta-parameters to show that VK-SITS is a generic event representation by evaluating it on a new recognition task (SL-Animals-DVS), and give additional intuitions to the choice of its meta-parameters. Results show that VK-SITS is a generic event representation for which optimization of parameters is robust regardless of the split utilized to optimize parametrization.
Optimizing HPC I/O Performance with Regression Analysis and Ensemble Learning

To improve parallel I/O performance, it is imperative to optimize the adjustable parameters across the different layers of the I/O software stack. Finding an optimal configuration for different scenarios is hampered by the complex interaction dynamics between these parameters and the large parameter space. Previous research efforts have focused on tuning these parameters using independent algorithms; however, these approaches exhibit certain shortcomings such as unstable performance results and delayed convergence rates.This paper introduces OPRAEL, an auto-tuning approach on parallel I/O tasks by ensembles and performance modeling using regression analysis. To test its effectiveness, we applied this approach on the Tianhe-II supercomputer using one well-known I/O benchmark(IOR) and two I/O kernels(S3D-I/O, BT-I/O). Leveraging our experience in predictive modeling, we optimized the tuning of the I/O stack parameters. Our experimental results show a remarkable 10.2X improvement in write performance speedup for the optimization task with BT-I/O and a 500x500x500 input. We also compared the potential of using a single search algorithm versus using reinforcement learning search in the I/O parameter auto-optimization task. Our results show that OPRAEL outperforms the traditional approach, resulting in a maximum 8.4X improvement in write performance for the 128-process IOR optimization.