Miracle-dz/UniFAR-FTUs huggingface dataset:
Migration by haptotaxis of a Schwann cell tumor line to the basement membrane glycoprotein laminin

Laminin is a large (greater than 850-kdalton) glycoprotein that is localized within basement membranes. Recent work has indicated that this protein is present within the endoneurium of mouse sciatic nerve. Furthermore, it has been shown that a rat Schwannoma cell line, RN22F, produced laminin and that laminin promoted the attachment of these cells to bacterial plastic. This report presents evidence that RN22F cells migrate in vitro to laminin in a concentration-dependent fashion. Laminin was extracted from the mouse EHS tumor and purified by molecular sieve and heparin-agarose affinity chromatography. The migration of Schwannoma cells to laminin, as assessed in a microwell modified Boyden chamber, was inhibited in a dose-dependent manner by affinity-purified antilaminin antibody. Zigmond-Hirsch checkerboard analysis experiments indicated that laminin stimulated both random and directed movement of RN22F cells. Additionally, reversal of the laminin gradient in the chambers also stimulated RN22F migration in a concentration-dependent manner, suggesting that directed migration of RN22F cells was due to a substratum-bound laminin (haptotaxis) as opposed to cell movement in response to fluid-phase laminin (chemotaxis). Binding studies using [3H]laminin demonstrated that laminin bound to the filter surface under the assay conditions used, and support the contention that cells are migrating to substrate-bound material. Furthermore, RN22F cells were shown to migrate on filters coated with laminin in the absence of additional fluid-phase laminin. The magnitude of this response could be altered by changing the relative density of bound laminin. In contrast, fibronectin promoted only marginal migration of RN22F cells. Collectively, these observations indicate that haptotaxis may be a mechanism by which laminin may guide cells during development and raise the possibility that it may be involved in peripheral nervous system myelination.
Cognitive and emotional mathematics learning problems in primary and secondary school students

i Preface . ii Acknowledgements . iv List of Figures . x List of Tables . xii List of Appendices . xiii 1. Chapter One. Introduction . 1 1.1 Developmental Dyscalculia. 2 1.1.1 Definitions . 2 1.1.2 Prevalence . 3 1.1.3 Theories of DD . 17 1.2 Mathematics Anxiety . 20 1.2.1 Definitions . 20 1.2.2 Prevalence . 23 1.2. 3 MA and performance/achievement . 24 1.2. 4 Theories of MA . 27 1.3 Gender differences . 33 1.3. 1 Mathematics and reading performance . 33 1.3. 2 DD . 36 1.3. 3 MA . 37 1.3. 4 Theories of gender differences . 41 1.4 Current study and outline of thesis . 43 2. Chapter Two. Prevalence of DD in the United Kingdom. 46 2.1.1 The current study . 48 2.2 Method . 48 2.2.1 Participants . 48 2.2.2 Measures . 50 2.2. 3 Procedure . 50
Imaging Long-Term Fate of Intramyocardially Implanted Mesenchymal Stem Cells in a Porcine Myocardial Infarction Model

The long-term fate of stem cells after intramyocardial delivery is unknown. We used noninvasive, repetitive PET/CT imaging with [18F]FEAU to monitor the long-term (up to 5 months) spatial-temporal dynamics of MSCs retrovirally transduced with the sr39HSV1-tk gene (sr39HSV1-tk-MSC) and implanted intramyocardially in pigs with induced acute myocardial infarction. Repetitive [18F]FEAU PET/CT revealed a biphasic pattern of sr39HSV1-tk-MSC dynamics; cell proliferation peaked at 33–35 days after injection, in periinfarct regions and the major cardiac lymphatic vessels and lymph nodes. The sr39HSV1-tk-MSC–associated [18F]FEAU signals gradually decreased thereafter. Cardiac lymphography studies using PG-Gd-NIRF813 contrast for MRI and near-infrared fluorescence imaging showed rapid clearance of the contrast from the site of intramyocardial injection through the subepicardial lymphatic network into the lymphatic vessels and periaortic lymph nodes. Immunohistochemical analysis of cardiac tissue obtained at 35 and 150 days demonstrated several types of sr39HSV1-tk expressing cells, including fibro-myoblasts, lymphovascular cells, and microvascular and arterial endothelium. In summary, this study demonstrated the feasibility and sensitivity of [18F]FEAU PET/CT imaging for long-term, in-vivo monitoring (up to 5 months) of the fate of intramyocardially injected sr39HSV1-tk-MSC cells. Intramyocardially transplanted MSCs appear to integrate into the lymphatic endothelium and may help improve myocardial lymphatic system function after MI.
The Case for #BlackGirlMagic

This article puts forth a culturally relevant practice framework that integrates components of intersectionality and strengths-based perspectives. This framework incorporates key factors of Black women’s social identities and builds on their strengths to provide a richer understanding of how depression is experienced in their lives. To arrive at this framework, we provide a brief summary of intersectionality; use a case study to examine the influence of race, class, and gender on Black women’s lived experiences with depression; and apply the framework—#BlackGirlMagic—to the case study. Lastly, future directions for practice, research, and policy are explored.
Difficulty Controllable and Scalable Constrained Multi-objective Test Problems

In this paper, we propose a general toolkit to construct constrained multi-objective optimisation problems (CMOPs) with three different kinds of constraint functions. Based on this toolkit, we suggested eight constrained multi-objective optimisation problems named CMOP1-CMOP8. As the ratio of feasible regions in the whole search space determines the difficulty of a constrained multi-objective optimisation problem, we propose four test instances CMOP3-6, which have very low ratio of feasible regions. To study the difficulties of proposed test instances, we make some experiments with two popular CMOEAs - MOEA/D-CDP and NSGA-II-CDP, and analysed their performances.
Climate dependent contrast in surface mass balance in East Antarctica over the past 216 ka

ABSTRACT Documenting past changes in the East Antarctic surface mass balance is important to improve ice core chronologies and to constrain the ice-sheet contribution to global mean sea-level change. Here we reconstruct past changes in the ratio of surface mass balance (SMB ratio) between the EPICA Dome C (EDC) and Dome Fuji (DF) East Antarctica ice core sites, based on a precise volcanic synchronization of the two ice cores and on corrections for the vertical thinning of layers. During the past 216 000 a, this SMB ratio, denoted SMBEDC/SMBDF, varied between 0.7 and 1.1, being small during cold periods and large during warm periods. Our results therefore reveal larger amplitudes of changes in SMB at EDC compared with DF, consistent with previous results showing larger amplitudes of changes in water stable isotopes and estimated surface temperature at EDC compared with DF. Within the last glacial inception (Marine Isotope Stages, MIS-5c and MIS-5d), the SMB ratio deviates by up to 0.2 from what is expected based on differences in water stable isotope records. Moreover, the SMB ratio is constant throughout the late parts of the current and last interglacial periods, despite contrasting isotopic trends.
METAL-POOR STARS OBSERVED WITH THE MAGELLAN TELESCOPE. I. CONSTRAINTS ON PROGENITOR MASS AND METALLICITY OF AGB STARS UNDERGOING s-PROCESS NUCLEOSYNTHESIS

We present a comprehensive abundance analysis of two newly discovered carbon-enhanced metal-poor (CEMP) stars. HE 2138−3336 is a s-process-rich star with [Fe/H] = -2.79, and has the highest [Pb/Fe] abundance ratio measured thus far, if non-local thermodynamic equilibrium corrections are included ([Pb/Fe] = +3.84). HE 2258−6358, with [Fe/H] = -2.67, exhibits enrichments in both s- and r-process elements. These stars were selected from a sample of candidate metal-poor stars from the Hamburg/ESO objective-prism survey, and followed up with medium-resolution (R ∼ 2000) spectroscopy with GEMINI/GMOS. We report here on derived abundances (or limits) for a total of 34 elements in each star, based on high-resolution (R ∼ 30, 000) spectroscopy obtained with Magellan-Clay/MIKE. Our results are compared to predictions from new theoretical asymptotic giant branch (AGB) nucleosynthesis models of 1.3 M☉ with [Fe/H] = −2.5 and −2.8, as well as to a set of AGB models of 1.0 to 6.0 M☉ at [Fe/H] = −2.3. The agreement with the model predictions suggests that the neutron-capture material in HE 2138−3336 originated from mass transfer from a binary companion star that previously went through the AGB phase, whereas for HE 2258−6358, an additional process has to be taken into account to explain its abundance pattern. We find that a narrow range of progenitor masses (1.0 ⩽ M(M☉) ⩽ 1.3) and metallicities (−2.8 ⩽ [Fe/H] ⩽−2.5) yield the best agreement with our observed elemental abundance patterns.
ANALYSIS OF MOTOR EDUCABILITY AMONG CRICKET PLAYERS OF DIFFERENT LEVEL OF ACHIEVEMENT

The aim of this study was to determine the role of motor educability among cricket players of different level of achievement. To obtain data, the investigators had selected, fifty (N=50), Male State and National Level Cricket Players between the age group of 21-25 years were selected for the purpose of present study. The subjects were purposively assigned into three groups: Group-A: State Level Cricket Players (n 1 =25); Group-B: National Level Cricket Players (n 2 =25). The difference in the mean of each group for selected variable was tested by “t” test. The level of significance was set at 0.05. It is concluded from the above findings that significant differences were found among state and national level cricket players on the sub-variables; front roll, back roll, jumping half-turns and jumping full-turns. Article visualizations:
Semantic Classes and Syntactic Ambiguity

In this paper we propose to define selectional preference and semantic similarity as information-theoretic relationships involving conceptual classes, and we demonstrate the applicability of these definitions to the resolution of syntactic ambiguity. The space of classes is defined using WordNet [8], and conceptual relationships are determined by means of statistical analysis using parsed text in the Penn Treebank.
Studying Professional Software Designers and their Use of Abstraction

In this paper, we study how three pairs of professional software developers use abstraction in the course of a two-hour design exercise. We devise a scheme for classifying abstractions according domain (e.g., problem domain vs. userinterface domain vs. computer-science domain), which enables us to better compare the developers’ different uses of abstraction. We also examine how focusing on a particular domain (e.g., how the real-world really operates, or the formal definitions of computer-science concepts) sometimes hinders the developers’ ability or willingness to abstract from those concepts.
Ingestive Behavior of Ovine Fed with Marandu Grass Silage Added with Naturally Dehydrated Brewery Residue

The objective was to evaluate the ingestive behavior of ovine fed Marandu grass silage with dehydrated brewery residue added. The experiment had a completely randomized design with five treatments and four repetitions, with the treatments levels of inclusion being of 0, 10, 20, 30, and 40% natural matter of naturally dehydrated brewery residue for 36 hours to the marandu grass silage. 20 ovines were used and the experimental period was 21 days, 15 being for adaptation to diets. The use of brewery byproduct promoted quadratic effect (P < 0.05) for the consumption of dry matter with maximum point value estimated at adding 23.25% additive. Ingestion efficiency and rumination efficiency of dry matter (g DM/hour) were significant (P < 0.05), by quadratic behavior, and NDF ingestion and rumination efficiency showed crescent linear behavior. The DM and NDF consumption expressed in kg/meal and in minutes/kg were also significant (P < 0.05), showing quadratic behavior. Rumination activity expressed in g DM and NDF/piece was influenced (P < 0.05) by the adding of brewery residue in marandu grass silage in quadratic way, with maximum value estimated of 1.57 g DM/bolus chewed in inclusion of 24.72% additive in grass silage. The conclusion is that intermediary levels adding of 20 to 25% dehydrated brewery residue affects certain parameters of ingestive behavior.
Blood Flow Analysis Using Ultrasound Doppler Technique

An in vitro system was used for measurement of frequency and amplitude of ultrasonic signals scattered from a moving column of blood analog under physiologic flow conditions. Flow rate and probe orientations (angle, vertical and lateral displacement) were varied in dependently. With the probe centered above the blood vessel model the frequency shift (F) of the scattered signal were fit to the equation: F=Cx +Cθθ+Cv +C0 (10°<θ<40°), where θ is the angle (in degrees) to the normal to the flow, V is average velocity of flow (measured indirectly) and Cx, Cθ, Cv and C0 are constants. Using stepwise regression the constant Cv was found to be insignificant; including the other constants produced a standard error of 31 Hz, about 5-l0% of observed values of F. It was not possible to obtain the diameter of physiologic sized blood vessels using the CW technique because of the low resolution of the system (about 0.5cm). I t was found practical to locate the proper probe position and estimate angle using only variation in observed amplitude to guide positioning. This opens the possibility of accurate transcutaneous blood velocity measurements in animals and humans
SympGraph: a framework for mining clinical notes through symptom relation graphs

As an integral part of Electronic Health Records (EHRs), clinical notes pose special challenges for analyzing EHRs due to their unstructured nature. In this paper, we present a general mining framework SympGraph for modeling and analyzing symptom relationships in clinical notes. A SympGraph has symptoms as nodes and co-occurrence relations between symptoms as edges, and can be constructed automatically through extracting symptoms over sequences of clinical notes for a large number of patients. We present an important clinical application of SympGraph: symptom expansion, which can expand a given set of symptoms to other related symptoms by analyzing the underlying SympGraph structure. We further propose a matrix update algorithm which provides a significant computational saving for dynamic updates to the graph. Comprehensive evaluation on 1 million longitudinal clinical notes over 13K patients shows that static symptom expansion can successfully expand a set of known symptoms to a disease with high agreement rate with physician input (average precision 0.46), a 31% improvement over baseline co-occurrence based methods. The experimental results also show that the expanded symptoms can serve as useful features for improving AUC measure for disease diagnosis prediction, thus confirming the potential clinical value of our work.
Tracking Sentiment by Time Series Analysis

In recent years social media have emerged as popular platforms for people to share their thoughts and opinions on all kind of topics. Tracking opinion over time is a powerful tool that can be used for sentiment prediction or to detect the possible reasons of a sentiment change. Understanding topic and sentiment evolution allows enterprises or government to capture negative sentiment and act promptly. In this study, we explore conventional time series analysis methods and their applicability on topic and sentiment trend analysis. We use data collected from Twitter that span over nine months. Finally, we study the usability of outliers detection and different measures such as sentiment velocity and acceleration on the task of sentiment tracking.
An Analysis of Parallel Approaches for a Mobile Robotic Self-localization Algorithm

Self-localization is a fundamental problem in mobile robotics. It consists of estimating the position of a robot given a map of the environment and information obtained by sensors. Among the algorithms used to address this issue, the Monte Carlo technique has obtained a considerable attention by the scientific community due to its simplicity and efficiency. Monte Carlo localization is a sample-based technique that estimates robots pose using a probability density function represented by samples (particles). The complexity of this algorithm scales proportionally to the number of particles used. The larger the environment, the more particles are required for robot localization. This fact limits the use of this algorithm in large size environments. In order to improve the efficiency of the Monte Carlo technique and allow it to be used in large environments we propose a parallel implementation of it. Our implementation is based on OpenMP and MPI message passing interface. Experimental results are used to show the efficiency of our approach.
Accelerated Bone Mass Senescence After Hematopoietic Stem Cell Transplantation

Osteoporosis and avascular necrosis (AVN) are long-lasting and debilitating complications of hematopoietic stem cell transplantation (HSCT). We describe the magnitude of bone loss, AVN and impairment in osteogenic cell compartment following autologous (auto) and allogeneic (allo) HSCT, through the retrospective bone damage revaluation of 100 (50 auto- and 50 allo-HSCT) long-term survivors up to 15 years after transplant. Current treatment options for the management of these complications are also outlined. We found that auto- and allo-HSCT recipients show accelerated bone mineral loss and micro-architectural deterioration during the first years after transplant. Bone mass density (BMD) at the lumbar spine, but not at the femur neck, may improve in some patients after HSCT, suggesting more prolonged bone damage in cortical bone. Phalangeal BMD values remained low for even more years, suggesting persistent bone micro-architectural alterations after transplant. The incidence of AVN was higher in allo-HSCT recipients compared to auto-HSCT recipients. Steroid treatment length, but not its cumulative dose was associated with a higher incidence of bone loss. Allo-HSCT recipients affected by chronic graft versus host disease seem to be at greater risk of continuous bone loss and AVN development. Reduced BMD and higher incidence of AVN was partly related to a reduced regenerating capacity of the normal marrow osteogenic cell compartment. Our results suggest that all patients after auto-HSCT and allo-HSCT should be evaluated for their bone status and treated with anti-resorptive therapy as soon as abnormalities are detected.
Replication and Long-Term Persistence of Bovine and Human Strains of Mycobacterium avium subsp. paratuberculosis within Acanthamoeba polyphaga

ABSTRACT Free-living protists are ubiquitous in the environment and form a potential reservoir for the persistence of animal and human pathogens. Mycobacterium avium subsp. paratuberculosis is the cause of Johne's disease, a systemic infection accompanied by chronic inflammation of the intestine that affects many animals, including primates. Most humans with Crohn's disease are infected with this chronic enteric pathogen. Subclinical infection with M. avium subsp. paratuberculosis is widespread in domestic livestock. Infected animals excrete large numbers of robust organisms into the environment, but little is known about their ability to replicate and persist in protists. In the present study we fed laboratory cultures of Acanthamoeba polyphaga with bovine and human strains of M. avium subsp. paratuberculosis. Real-time PCR showed that the numbers of the pathogens fell over the first 4 to 8 days and recovered by 12 to 16 days. Encystment of the amoebic cultures after 4 weeks resulted in a 2-log reduction in the level of M. avium subsp. paratuberculosis, which returned to the original level by 24 weeks. Extracts of resection samples of human gut from 39 patients undergoing abdominal surgery were fed to cultures of A. polyphaga. M. avium subsp. paratuberculosis detected by nested IS900 PCR with amplicon sequencing and visualized by IS900 in situ hybridization and auramine-rhodamine staining was found in cultures derived from 13 of the patients and was still present in the cultures after almost 4 years of incubation. Control cultures were negative. M. avium subsp. paratuberculosis has the potential for long-term persistence in environmental protists.
SILVER : Software in Support of the System Dynamics Modeling Process

While the System Dynamics modeling process can yield invaluable high level insights, it gives rise to a tremendous amount of detail complexity. In the course of their work, modelers must track successive model versions, the motivation for and assumptions underlying particular “what if” scenarios, and the implicit relationships between scenarios, model versions and various external artifacts such as spreadsheets, symbolic mathematics calculations, and external documentation. Failure to adequately manage such complexity can reduce the transparency, reliability, and credibility of the modeling process. While adherence to good modeling practices can aid this process, it often falls prey to corner-cutting or human error. This paper describes software that helps manage such complexity, by permitting modelers to easily access and succinctly compare historic versions of a model, by making explicit linkages between scenarios, the model versions and assumptions underlying them, and the motivations for and external files associated with model artifacts.
DESCRIPTION-DRIVEN CONTEXT-SENSITIVE EFFECTS

We introduce a new paradigm in digital audio effects that i s based on more symbolic manipulations of elements of a sound, rather than using linear signal processing alone. By utilising content descriptions such as those enabled by MPEG-7, a system may apply context-sensitive effects that are more aware of the structure of the sound than current systems. We advocate a standards-based approach (with MPEG-4, 7, and -21) so as to maximise the interoperability between different systems. The paper outlines MPEG-7 description structures that may be used as the basis for controlling and triggering effects in a system. It explores the different possibilities that are opened up by this paradigm. The way i s then pointed towards more sophisticated control structures that may lead to more “musical” and dynamic effects.
To Prepare a Forecasting Proxy Server to Improve Hits Using SVM

Web proxy cache plays a vital role in the performance improving of World Wide Web. Also, SVM helps to wither the internet access latency and network traffic. The prediction using SVM improves the hit ratio which is beneficial for Web caching and Web prefetching environment. The research mainly focuses to apply SVM method to the problem of user action for prediction on the web. We can predict the future web page that a handler will select through replication, we determined that our approach has computable actions such as hit rate and byte hit rate of accessed page. Web proxy caching plays an important role in improving the World Wide Web routine which is actually difficult to evaluate what exactly the user’s request would be in web proxy caching practices. In this learning, we presented a new approach which depends on the expertise of SVM to learn from web proxy log data and forecast the classes of objects expected to re-visit. Hence, usage of the cache can be amplified capably. Continual experiments had revealed that support vector machine produces better and positive results. Keywords—Enactment estimation, Proxy server, Web Proxies, Support vector machine, Web caching, Web prefetching.