Miracle-dz/UniFAR-FTUs huggingface dataset:
THE USE OF LEARNING PLATFORMS TO ORGANIZE LEARNING PLATFORMS TO ORGANISE LEARNING IN ENGLISH PRIMARY AND SECONDARY SCHOOLS

This paper reports on the use and potentials of Learning Platform (LP) technologies for organizing learning in English primary and secondary schools. It reports on the findings of qualitative research on the benefits of Learning Platforms (LPs) based on data from case studies in 12 ‘early adopting’ English primary and secondary schools (2010, Jewitt et al). The paper reports findings on the potential of LPs to enhance student access to a broad range of learning resources, to increase opportunities for independent and personalised learning, to support opportunities for collaborative learning and to improve student processes of reflecting on and assessing their learning. The paper concludes by drawing out some of the pedagogic implications from these findings and a brief summary of the emerging conditions associated with the effective use of LPs to support and organize learning.
The Study of Traffic Flow Information Completion Based on GAN Algorithm

In urban road traffic, detectors often cause incomplete data and missing data as a result of inadequate coverage or equipment damage and other reasons. Therefore, the data needs to be repaired to ensure data support for the traffic management service. This paper regards traffic flow data from section geomagnetic detectors as the object, processing graphically section flow information. And the missing data of network is predicted and complemented by the idea of generating network analysis images. This paper analyzes the influence of missing area size and loss at random of data on the accuracy of complete information. The results prove the feasibility and applicability of this method.
Universality of testing ghost-free gravity

In this paper we show that there is a universal prediction for the Newtonian potential for an infinite derivative, ghost-free, quadratic curvature gravity. We show that in order to make such a theory ghost-free at a perturbative level, the Newtonian potential always falls-off as 1/r in the infrared limit, while at short distances the potential becomes non-singular. We provide examples which can potentially test the scale of gravitational non-locality up to 0.01 eV.
Cinacalcet Hydrochloride for the Treatment of Secondary Hyperparathyroidism in Patients with End-stage Renal Disease on Maintenance Dialysis Therapy

Please find attached our response to the ACD for this technology appraisal. We would like to draw your attention to the new health economic analysis that is based upon an amended version of the PenTAG HE model. This analysis shows that a group of patients can be identified, where cinacalcet is cost-effective, if a set of simple stopping rules are applied that restricts the amount of cinacalcet patients are placed on. We would encourage the Appraisal Committee to consider this analysis and we will be sending a working version of the model to NIHCE next week.
AWARD NUMBER: W81XWH-14-1-0107 TITLE: Tumor Microenvironment Gene Signature as a Prognostic Classifier and Therapeutic Target PRINCIPAL INVESTIGATOR:

ADAM metallopeptidase domain 12 (ADAM12) is a promising biomarker because of its low expression in normal tissues and high expression in a variety of human cancers. However, ADAM12 levels in ovarian cancer have not been well characterized. We previously identified ADAM12 as one of the signature genes associated with poor survival in high-grade serous ovarian carcinoma (HGSOC). Here, we sought to determine if high levels of the ADAM12 protein and/or messenger RNA (mRNA) are associated with clinical variables in HGSOC. We show that high protein levels of ADAM12 in banked preoperative sera are associated with shorter progression-free and overall survival. Tumor levels of ADAM12 mRNA were also associated with shorter progression-free and overall survival as well as with lymphatic and vascular invasion, and residual tumor volume following cytoreductive surgery. The majority of genes co-expressed with ADAM12 in HGSOC were transforming growth factor (TGF)β signaling targets that function in collagen remodeling and cell–matrix adhesion. In tumor sections, the ADAM12 protein and mRNA were expressed in epithelial cancer cells and surrounding stromal cells. In vitro data showed that ADAM12 mRNA levels can be increased by TGFβ signaling and direct contact between epithelial and stromal cells. High tumor levels of ADAM12 mRNA were characteristic of the mesenchymal/desmoplastic molecular subtype of HGSOC, which is known to have the poorest prognosis. Thus, ADAM12 may be a useful biomarker of aggressive ovarian cancer for which standard treatment is not effective.
The Potential Risk Associated with Foodborne Pathogens in Watersheds: Salmonellap spp. in Dairy Cattle

Salmonella spp. is one of the most important food- and waterborne pathogens implicated in human and animal disease. A repeat cross-sectional study was performed to assess the occurrence of Salmonella in dairy herds in a watershed and determine the factors that play a role in the likelihood of perpetuation of this organism among animals on these farms. A convenience sample of herds in the Delaware County watershed was selected based on farmers’ willingness to participate. Fecal samples were collected per rectum from a representative sample of cattle in these herds and tested for the presence of Salmonella using a combination of culturing and molecular detection methods. The significance of association between the putative risk factors and the likelihood of Salmonella spp. was evaluated using the logistic regression analysis. A total of 34 dairy farms were enrolled in the study and 1987 samples were collected coinciding with seasonal variation. Salmonella spp. was detected in 44% (15/34) of the herds in the study population (i.e., from at least one animal in these herds). However, only a small fraction of the entire sampling population (1.7%) was found to be shedding Salmonella. Risk factors that were found to be associated with the presence of the pathogen on the farm in the final multivariable model included concrete flooring for calves, prevention of calf access to the dam, and the lack of a designated calving pen. Two serovars, Salmonella enterica serovar Infantis and Salmonella enterica serovar Oranienburg, were identified among the isolates recovered in this study. Our study demonstrated that there was a potential risk of watershed degradation from Salmonella associated with cattle.
Spatial variation in exhumation rates across Ladakh and the Karakoram: New apatite fission track data from the Eastern Karakoram, NW India

Characterization of low‐temperature cooling histories and associated exhumation rates is critical for deciphering the recent evolution of orogenic regions. However, these may vary significantly over relatively short distances within orogens. It is pertinent therefore to constrain cooling histories and hence exhumation rates across major tectonic boundaries. We report the first apatite fission track ages from the Karakoram Fault Zone in the Eastern Karakoram range, which forms part of the western margin of the Tibetan Plateau. Ten samples, from elevations of 3477–4875 m, have apatite fission track dates from 3.3 ± 0.3 Ma to 7.4 ± 1.1 Ma. The ages correspond to modeled average erosional exhumation rates of 0.67 + 0.27/−0.18 mm/yr across the Eastern Karakoram. The results are consistent with a trend northward from the Indus suture zone, across the Ladakh terrane and into the Karakoram, in which tectonic uplift associated with crustal thickening increases toward the north, raising elevation and promoting glaciation and generation of extreme relief. As a result, erosion and exhumation rates increase south to north. Present‐day precipitation on the other hand varies little within the study area and on a larger scale decreases southwest to northeast across this portion of the orogen. The Eastern Karakoram results highlight the diverse patterns of exhumation driven by regional variations in tectonic response to collision along the western margin of Tibet.
SOUND SYNTHESIS USING AN ALLPASS FILTER CHAIN WITH AUDIO-RATE COEFFICIENT MODULATION

This paper describes a sound synthesis technique th at modulates the coefficients of allpass filter chains using aud io-rate frequencies. It was found that modulating a single allpass filter section produces a feedback AM‐like spectrum, and that its bandwidth is extended and further processed by non-sinusoidal FM when the sections are cascaded. The cascade length parameter provides dynamic bandwidth control to prevent upper range al iasing artifacts, and the amount of spectral content within th at band can be controlled using a modulation index parameter. The technique is capable of synthesizing rich and evolving timbres, including those resembling classic virtual analog waveforms. It can also be used as an audio effect with pitch-tracked input so urces. Software and sound examples are available at http://www.acoustics. hut.fi/publications/papers/dafx09 -cm/
Searching for Inflation in Simple String Theory Models: An Astrophysical Perspective

Attempts to connect string theory with astrophysical observation are hampered by a jargon bar- rier, where an intimidating profusion of orientifolds, Kahler potentials, etc. dissuades cosmologists from attempting to work out the astrophysical observables of specific string theory solutions from the recent literature. We attempt to help bridge this gap by giving a pedagogical exposition with detailed examples, aimed at astrophysicists and high energy theorists alike, of how to compute predictions for familiar cosmological parameters when starting with a 10-dimensional string the- ory action. This is done by investigating inflation in string theory, since inflation is the dominant paradigm for how early universe physics determines cosmological parameters. We analyze three explicit string models from the recent literature, each containing an infinite number of "vacuum" solutions. Our numerical investigation of some natural candidate inflatons, the so-called "moduli fields," fails to find inflation. We also find in the simplest models that, after suitable field redefinitions, vast numbers of these vacua differ only in an overall constant multiplying the effective inflaton potential, a difference which affects neither the potential's shape nor its ability to support slow-roll inflation. This illustrates that even having an infinite number of vacua does not guarantee having inflating ones. This may be an artifact of the simplicity of the models that we study. Instead, more complicated string theory models appear to be required, suggesting that explicitly identifying the inflating subset of the string landscape will be challenging.
Observing the Tropical Atmosphere in Moisture Space

Measurements from the Barbados Cloud Observatory are analyzed to identify the processes influencing the distribution of moist static energy and the large-scale organization of tropical convection. Five years of water vapor and cloud profiles from a Raman lidar and cloud radar are composed to construct the structure of the observed atmosphere in moisture space. The large-scale structure of the atmosphere is similar to that now familiar from idealized studies of convective self-aggregation, with shallow clouds prevailing over a moist marine layer in regions of low-rank humidity, and deep convection in a nearly saturated atmosphere in regions of high-rank humidity. With supplementary reanalysis datasets the overall circulation pattern is reconstructed in moisture space, and shows evidence of a substantial lower-tropospheric component to the circulation. This shallow component of the circulation helps support the differentiation between the moist and dry columns, similar to what is found in simulations of convective self-aggregation. Radiative calculations show that clear-sky radiative differences can explain a substantial part of this circulation, with further contributions expected from cloud radiative effects. The shallow component appears to be important for maintaining the low gross moist stability of the convecting column. A positive feedback between a shallow circulation driven by differential radiative cooling and the low-level moisture gradients that help support it is hypothesized to play an important role in conditioning the atmosphere for deep convection. The analysis suggests that the radiatively driven shallow circulations identified by modeling studies as contributing to the self-aggregation of convection in radiative–convective equilibrium similarly play a role in shaping the intertropical convergence zone and, hence, the large-scale structure of the tropical atmosphere.
Dynamics of Orbits and Local Gas Stability in a Lopsided Galaxy

We study the dynamics of particles in closed orbits in a galactic disk perturbed by a lopsided halo potential. The underlying potential in a large fraction of spiral galaxies is now believed to have this form. The orbits are solved via first-order epicyclic theory, and the azimuthal variation in the effective surface density is obtained for an exponential disk. The results are obtained first for a flat rotation curve and then for a general power-law rotation curve. These are shown to be valid for both stars and gas in the inner (optical) region of a galaxy because both respond to the same lopsided potential and have comparable disk scale lengths. The results are applied to external lopsided galaxies. An orbit is shown to be elongated along the minimum in the lopsided potential. The net rotational velocity is highest at the minimum radial extent of the orbit. The perturbation parameter for the lopsided potential ϵlop, is obtained as a function of the observed fractional amplitude of the m = 1 azimuthal Fourier component of the surface brightness and the radius. The ellipticity of isophotes is shown to be higher by at least a factor of 4 compared to ϵlop. This explains why the phenomenon of lopsidedness is so commonly detected. It also means that even visually strongly lopsided galaxies have a fairly axisymmetric potential, with a small ϵlop < 0.1. The effective disk surface density is highest along the maximum in the lopsided potential, and there is an underdense region in the opposite direction. The maximum increase in the surface density is high ~35%-50%, for strongly lopsided galaxies. We obtain the local stability parameter Qlop in a lopsided galaxy and show that its values for gas are significantly lowered compared to the axisymmetric case in the overdense region. This is argued to result in an enhanced formation of massive stars which then result in H II regions. Thus we can naturally explain the observed azimuthal asymmetry in the distribution of molecular hydrogen gas and H II regions in the lopsided galaxies such as M101.
A Loading Balancing Equi-join Algorithm Based on Key Cost

MapReduce parallel computing model is widely used in large-scale distributed data processing. However, this model does not support the join operation well. Especially in the face of skewed data, the original partitioning algorithm tends to cause unbalanced load between processing nodes. To solve this problem, a load balancing equi-join algorithm based on key cost is proposed. The algorithm generates more key partitions than the number of processing tasks according to the type of join attributes and calculates the cost information for each partition. By dynamically determining the partition function, the data in the partition is sent to the corresponding node, considering the network transmission cost and disk I/O cost of data and achieving load balancing. Experimental results show that the proposed algorithm has good effect in load balancing in homogeneous clusters.
PHOTOMETRIC REDSHIFTS IN THE HAWAII-HUBBLE DEEP FIELD-NORTH (H-HDF-N)

We derive photometric redshifts (zphot) for sources in the entire (∼0.4 deg2) Hawaii-Hubble Deep Field-North (H-HDF-N) field with the EAzY code, based on point-spread-function-matched photometry of 15 broad bands from the ultraviolet (U band) to mid-infrared (IRAC 4.5 μm). Our catalog consists of a total of 131,678 sources. We evaluate the zphot quality by comparing zphot with spectroscopic redshifts (zspec) when available, and find a value of normalized median absolute deviation σNMAD = 0.029 and an outlier fraction of 5.5% (outliers are defined as sources having |zphot − zspec|/(1 + zspec) > 0.15) for non-X-ray sources. More specifically, we obtain σNMAD = 0.024 with 2.7% outliers for sources brighter than R = 23 mag, σNMAD = 0.035 with 7.4% outliers for sources fainter than R = 23 mag, σNMAD = 0.026 with 3.9% outliers for sources having z < 1, and σNMAD = 0.034 with 9.0% outliers for sources having z > 1. Our zphot quality shows an overall improvement over an earlier zphot work that focused only on the central H-HDF-N area. We also classify each object as a star or galaxy through template spectral energy distribution fitting and complementary morphological parameterization, resulting in 4959 stars and 126,719 galaxies. Furthermore, we match our catalog with the 2 Ms Chandra Deep Field-North main X-ray catalog. For the 462 matched non-stellar X-ray sources (281 having zspec), we improve their zphot quality by adding three additional active galactic nucleus templates, achieving σNMAD = 0.035 and an outlier fraction of 12.5%. We make our catalog publicly available presenting both photometry and zphot, and provide guidance on how to make use of our catalog.
Analysis of Various Memory-Read Sense Amplifiers Based Upon Total Energy Consumption

The purpose of this paper is to test our understanding data, address, memory contents, strings and to evaluate some of the fundamental metrics for the ‘Memory Read Operation’. The objective of the program used in the analysis is to ask the user to input a word with less than 10 characters to which the program will then output how many times that word occurred in the sample string given. To implement this in MARS, I used a basic looping structure in which the program goes through a checklist: Checking to see whether the hardcoded string character is at the null character, if the user input is at its 10 character, and whether the characters of the input word and string match (regardless of case). Analyzing the energy consumption of the four given design types (EASA, VISA, PWSA, and BVSC), it is shown that the EASA design has the lowest total energy consumption at 77671.26 fJ when compared to VISA, PWSA, and BVSC. Keywords—MTJ (Magnetic Tunnel Junction), Energy Aware Sense Amplifier (EASA), Variation Immune Sense Amplifier (VISA), Preread and Write Sense Amplifier (PWSA), Body-Voltage Sensing Circuit (BVSC), Sense Amplifier (SA), Sense Margin (SM), Transmission Gates (TGs) .
A machine learning framework for context specific collimation and workflow phase detection

Collimators control the field of view (FoV) by using thick blades to block X-rays leaving the source to image the patient. When the blades are adjusted to reduce the FoV, the area of the patient receiving radiation is reduced. Current fluoroscopy systems allow only for manual collimation by the operator. This can be done from the control panel using physical controls. Nonetheless, manual collimation is time consuming, causes interruption to the clinical Workflow, and is operator dependant. This is because the operator has to first identify a region of interest (RoI), then collimate around the RoI depending on the type of the procedure, workflow phase, and interventionist‘s preferences. In this work, we propose a learning based framework that can autonomously predict the workflow phase and localize an object of interest during congenital cardiac interventions (CCIs). In particular, we propose to learn the task of workflow recognition by using a convolutional neural network model. For training and evaluating our model, 4500 images from 25 clinical cases acquired during Biplane CCIs at Evelina London Children’s Hospital, UK, were used. A training accuracy of 99% and an evaluation accuracy of 86% were achieved. The framework allows for optimal and automatic adjustment of collimation depending on the predicted workflow around the localized devices, which we refer to as context specific collimation.
A phylogenetic redefinition of anamorph genera in Mycosphaerella based on ITS rDNA sequence and morphology

Abstract Anamorph genera associated with Mycosphaerella are separated on a combination of characters such as conidiomatal structure, the nature and arrangement of conidiophores, conidiogenesis, dehiscence scars and pigmentation. To date 27 genera have been reported as anamorphs of Mycosphaerella, 19 of which were included in this study. Based on the phylogeny of the ITS1, 5.8S, and ITS2 rDNA sequence data, Mycosphaerella proved to be monophyletic. The major group consisted of several small clusters correlating to specific anamorph genera, as well as other clusters containing an assemblage of anamorph genera. Although Mycosphaerella is monophyletic, it appears that many of the morphological characters defining different anamorph genera evolved more than once and for the most part do not represent true groups within Mycosphaerella. Nevertheless, the anamorph generic concepts contain valuable information of practical use to plant pathologists and mycologists working with these organisms. Based on these results, as well as a re-evaluation of the criteria upon which anamorph genera are distinguished in this complex, a reduced set of informative criteria and genera are proposed. The degree of scar thickening, darkening and refraction, as well as the presence or absence of pigmentation in conidiophores and conidia still appear to be useful features delimiting anamorph genera of Mycosphaerella.
Robust Grid-Current-Feedback Resonance Suppression Method for LCL-Type Grid-Connected Inverter Connected to Weak Grid

In this paper, a robust grid-current-feedback resonance suppression (GCFRS) method for LCL-type grid-connected inverters is proposed to enhance system damping without introducing switching noise and eliminating the impact of control delays on system robustness against grid-impedance variation. It is composed of the GCFRS method, the full duty-ratio and zero-beat-lag pulsewidth modulation (PWM) method, and the lead-GCFRS (LGCFRS) method. First, the GCFRS is used to suppress the LCL-resonant peak well and avoid introducing switching noise. Second, the proposed full duty-ratio and zero-beat-lag PWM method is used to eliminate the one-beat-lag computation delay without introducing duty cycle limitations. Moreover, it can also realize the smooth switching from positive to negative half wave of the grid current and improve the waveform quality. Third, the proposed LGCFRS is used to further minimize the control delay and make the positive or negative critical frequency of its virtual equivalent damping resistance increase above 0.5 switching frequency. Then, the system’s robustness and dynamic performance can be greatly improved. Finally, the experimental results confirm the theoretical expectations and the effectiveness of the proposed method.
Calculation Method on Reliability of Logistics Service Supply Chain Based on Stochastic Petri Nets

Logistics service supply chain provides the customer with integrated logistics service, and reliability is the essential character of logistics service. Logistic capacity and two-echelon structure of logistics service supply chain is analyzed in this article, and the reliability problem of logistics service supply chain is modelled based on stochastic Petri nets, then reliability index (steady state availability and reliability) is also analyzed, which provides indispensable information to reliability management of logistics service supply chain.