Miracle-dz/UniFAR-FTUs huggingface dataset:
Cloud-scale Molecular Gas Properties in 15 Nearby Galaxies

We measure the velocity dispersion, σ, and surface density, Σ, of the molecular gas in nearby galaxies from CO spectral line cubes with spatial resolution 45–120 pc, matched to the size of individual giant molecular clouds. Combining 11 galaxies from the PHANGS-ALMA survey with four targets from the literature, we characterize ∼30,000 independent sightlines where CO is detected at good significance. Σ and σ show a strong positive correlation, with the best-fit power-law slope close to the expected value for resolved, self-gravitating clouds. This indicates only a weak variation in the virial parameter αvir ∝ σ2/Σ, which is ∼1.5–3.0 for most galaxies. We do, however, observe enormous variation in the internal turbulent pressure Pturb ∝ Σσ2, which spans ∼5 dex across our sample. We find Σ, σ, and Pturb to be systematically larger in more massive galaxies. The same quantities appear enhanced in the central kiloparsec of strongly barred galaxies relative to their disks. Based on sensitive maps of M31 and M33, the slope of the σ–Σ relation flattens at Σ ≲ 10 M⊙ pc−2, leading to high σ for a given Σ and high apparent αvir. This echoes results found in the Milky Way and likely originates from a combination of lower beam-filling factors and a stronger influence of local environment on the dynamical state of molecular gas in the low-density regime.
Knowledge as a resource in regional development. The example of Switzerland

The economic and social development of regions is facing new challenges nowadays. European integration and extension, as well as the globalised climate/structure with regard to economics and decision-making, and globalised economic and decisionrelated coherencies are bringing about major changes. Regions as business locations are competing more and more for mobile and immobile resources. Regions need to understand and utilise their “knowledge” as a development resource in order to be able to develop themselves. The resource of “knowledge” is also becoming increasingly significant in regional politics. The “new regional policy” in Switzerland is treading new ground with the establishment of a “regional development knowledge management system” and considerable amounts of public funding are being invested in this scheme.
Genetic analysis of BRCA 1 ubiquitin ligase activity and its relationship to breast cancer susceptibility

Department of Medical and Molecular Genetics, Kings College London School of Medicine at Guy’s, Kings and St Thomas’ Hospitals, London, UK, Medical Research Council Virology Unit, Glasgow G11 5JR, Scotland, UK, Present address, Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan and Institute for Structural Molecular Biology and School of Crystallography, Birkbeck College, University of London, London WC1E 7HX, UK
True Amplitude Depth Migration with Curvelets

In this paper, we propose a true amplitude solution to the seismic imaging problem. We derive a diagonal scaling approach in curvelet domain for the normal operator approximation, which is based on the fact that curvelets remain approxiately invariant under the action of operator. We use curvelets as essential tools for both approximation and inversion. Our method produces a good resolution of the conflicting dips reflectors, reproduces true reflector amplitudes and compensates for incomplete illumination in seismic images. Our method is tested with a reverse-time ’wave equation’ migration code simulating the acoustic wave equation on BP 2004 synthetic dataset.
The design of a hemiplegic upper limb rehabilitation training system based on surface EMG signals

In this paper, we designed a hemiplegic upper limb rehabilitation training system, which allowed both single degree of freedom and composite degrees of freedom for the training of shoulder and elbow. The system contained an upper limb rehabilitation robot, a pattern recognition system and a motion control system. Firstly, we designed a novel upper limb rehabilitation robot with three degrees of freedom, with the motor and reducer innovatively placed centrally in the shoulder of the mechanical limb arm. The movement is more stable because the inertia of each joint movement is reduced. The design makes simultaneously training both the left and right arm possible. In the control system design, the movement coupling problem is solved through the inverse operation of the target action. Lastly, to further enrich information of the single feature vector, a method integrating the AR model coefficients and wavelet coefficients was proposed. A method combining the Particle Swarm Optimization Algorithm and Levenberg-Marquardt (LM) was used to optimize the BP networks, addressing the problems associated with lower convergence speed and local minimum of standard BP networks. The experiments showed that the convergence speed of the network and the recognition rate of the target action were effectively improved, which demonstrated the effectiveness of the training system.
ScienceDirect The Third Information Systems International Conference Simulated Annealing Algorithm for Deep Learning

Deep learning (DL) is a new area of research in machine learning, in which the objective is moving us closer to the goal of artificial intelligent. This method can learn many levels of abstraction and representation to create a common sense of data such as text, sound and image. Although DL is useful for a variety of tasks, it’s hard to train. Some methods in training deep learning to make it optimal have been proposed, including Stochastic Gradient Descent, Conjugate Gradient, Hessian-free optimization, and Krylov Subspace Descent. In this paper, we proposed Simulated Annealing (SA) to improve the performance of Convolution Neural Network (CNN), as an alternative approach for optimal DL using modern optimization technique, i.e. metaheuristic algorithm. MNIST dataset is used to ensure the accuracy and efficiency of the proposed method. Moreover, we also compare our proposed method with the original of CNN. Although there is an increase in computation time, the experiment results show that the proposed method can improve the performance of original CNN. © 2015 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the scientific committee of The Third Information Systems International Conference (ISICO 2015)
The Influence of Relative Humidity and Intrinsic Chloride on Post-excavation Corrosion Rates of Archaeological Wrought Iron

ABSTRACT This study examined the impact of relative humidity (RH) on the corrosion rate of 129 archaeological iron nails from two sites. Oxygen consumption of individual nails in controlled RH was used as a corrosion rate proxy to deliver quantitative data on corrosion rate as a function of RH. This was negligible at 20% RH, slow up to 40% RH for both sites, and increased rapidly at 60% RH for Roman nails from Caerleon (Wales) and at 70% RH for medieval nails from Billingsgate (London). The nails were digested and their chloride content was determined and related to their oxygen consumption at specific RH values. While a generic pattern of corrosion as a function of chloride was identified, for any single concentration of chloride corrosion rate was not predictable. Desiccation is in common use to control post-excavation corrosion of archaeological iron; quantifying how differing levels of desiccation changed corrosion rate provided a scaled tool for identifying corrosion risk, estimating object longevity, and calculating cost benefit for storage options.
Performance of Concrete Incorporating of Clam Shell as Partially Replacement of Ordinary Portland Cement ( OPC )

Article history: Received 1 January 2019 Received in revised form 22 February 2019 Accepted 25 February 2019 Available online 31 March 2019 In Malaysia, the uses of concrete will be demand higher in future due to growing of construction industry. Ordinary Portland cement (OPC) known as dominant precursor in manufacturing of concrete, every tons of OPC produce will released similar amount of carbon dioxide (CO2) in activities of quarrying limestone and calcination. Clam shells known as fishery industry waste that have high potential as partial cement replacement in concrete due to its similar chemical composition with limestone which is used in manufacturing of Portland cement. Clam shells were prepared by cleaning, crushing, grinding and calcination. This study investigate the performance of concrete using clamshells as partial replacement of OPC. The properties of clam shell concrete such as density, water absorption, compressive strength and splitting tensile strength has been studies. These properties were compare with Ordinary Portland cement (OPC) concrete. Based on mixes using clamshells ash with proportion of 4%, 6%, and 8% by weight of cement, the optimum compressive strength was achieved for the mix that replaced cement by 6%. The clamshells concrete has higher compressive strength and density compare to OPC in 28th days. For splitting tensile strength on 28th days specimens SC 6% has highest splitting tensile strength compare to specimens SC 4% and SC 8% but splitting tensile strength for OPC concrete (5.1MPa) is higher than specimens concrete SC 6% (4.4MPa). Future studies for this research are first studies into the analysis between degrees of calcination should be made to quantify the value and assesse durability testing of seashell concrete other than water absorption test.
Visible Human Project , functional models , biomechanical simulation , virtual patient-specific anatomical models

This paper reports on our experiences using datasets from the Visible Human Project in different biomedical applications. Introduced 1994 by the US National Library of Medicine the digitized multimodal anatomical datasets of the Visible Man have challenged the worldwide scientific community. A significant response to this challenge from several interdisciplinary research teams has emerged as a new area of research. This area requires close interaction and collaboration among anatomists, radiologists, computer scientists, mathematicians, engineers and physicians. The digitized volumetric images of the human body have been applied not only for the computer-aided exploration of the human gross anatomy, but also as structural input for the therapy planning and simulation systems. The importance of such virtual patient model is becoming increasingly recognized in modern medicine. To effectively use these specific datasets a sophisticated framework consisting of image processing, computer graphics and mathematical modelling methods is required. In this work various aspects of the developed framework are presented and discussed. Some preliminary results of our biomedical simulations are presented.
DP 2018-06 Cross-Country Research on Earnings Quality : A Literature Review and Future Opportunities

Over the last two decades, a growing body of literature has investigated the factors influencing the differences in financial reporting, especially earnings quality, in an international setting. The purpose of this paper is to provide an overview of the cross-country research that focuses on earnings quality and to offer suggestions for future topics in the field. In this study, I first discuss the relationship between earnings quality and the following institutional and cultural factors that have been examined in prior literature: legal tradition, investor protection (outside investor rights and legal enforcement), tax system, regulations, financial development, market competition, accounting standards (divergence from IAS), enforcement of accounting standards, culture, religiosity, and language. Second, the relationship between the improvement of earnings quality and International Financial Reporting Standards (IFRS) adoption is described. The results are mixed and suggest that a single set of accounting standards that are generally viewed as high quality does not always improve earnings quality. In addition, the relationship varies with the institutional and cultural factors of a country. It means that improvement through IFRS adoption would require the development of an institutional environment. Finally, as a prospect for future research, this paper discusses the extension from a singlecountry to cross-country study, the impact of IFRS adoption on the contracting role of accounting through the change in earnings quality, and earnings quality of non-listed firms in an international setting. These topics have become a more fruitful avenue of research with the recent increase in the availability of data.
COMPARACIÓN DE MODELOS DE CLASIFICACIÓN AUTOMÁTICA DE PATRONES TEXTURALES DE MINERALES PRESENTES EN LOS CARBONES COLOMBIANOS COMPARISON OF MODELS OF AUTOMATIC CLASSIFICATION OF TEXTURAL PATTERNS OF MINERAL PRESENTS IN COLOMBIAN COALS

Recibido para revisar 3 de Mayo de 2004, aceptado 1 de Junio de 2004, version final 1 de Agosto de 2004 RESUMEN: Esta investigacion presenta algunos resultados obtenidos bajo diferentes modelos de clasificacion de patrones texturales de minerales presentes en imagenes digitales. El conjunto de datos utilizado esta caracterizado por un tamano pequeno y presencia de ruido. Los modelos implementados fueron el clasificador Bayesiano, red neuronal (2-5-1), maquina de soporte de vectores (SVM), arbol de decision y 3-vecinos mas cercanos. Los resultados obtenidos luego de la validacion cruzada demostraron que el modelo Bayesiano (84%) arrojo la mejor capacidad predictiva, debido principalmente a su robustez frente al ruido. La red neuronal (68%) y la SVM (67%) dieron resultados alentadores, que posiblemente puedan mejorarse al incrementar el tamano del conjunto de datos; mientras el arbol de decision (55%) y el k-vecinos (54%) no parecen ser adecuados para este problema, dado su sensibilidad al ruido. PALABRAS CLAVE: Clasificacion, imagenes digitales, textura, minerales del carbon
Nano-granular texture of cement hydrates

Mechanical behavior of concrete crucially depends on cement hydrates, the “glue” of cement. The design of high performance and more environmentally friendly cements demands a deeper understanding of the formation of the multiscale structure of cement hydrates, when they precipitate and densify. We investigate the precipitation and setting of nano-grains of cement hydrates using a combination of Monte Carlo and Molecular Dynamics numerical simulations and study their texture from nano up to the micron scale. We characterize the texture of cement hydrates using the local volume fraction distribution, the pore size distribution, the scattering intensity and the chord length distribution and we compare them with experiments. Our nano-granular model provides cement structure with realistic texture and mechanics and can be further used to investigate degradation mechanisms.
Predicting data leaks in Health apps

Based on data readily available about health apps in the goggle play store combined with network data is it possible to predict if a data leakage will occur before downloading an app. On the market there’s an abundance of health apps each of which contain highly sensitive and identifying information making it important that consumers are in a position to make the most informed decision about who to trust their privacy too. During our investigation of this question, we collected information on 250 health apps and trained a machine learning classifier to determine if an app will leak data. Side note more will be written about the machine learning phase once the data collection phase ends.
Experimental Verification of the Inertial Theorem.

An experimental verification of the inertial theorem is presented involving two hyperfine states of a trapped Ytterbium ion. The theorem generates an analytical solution for non-adiabaticlly driven systems `accelerated' slowly, bridging the gap between the sudden and adiabatic limits. These solutions have shown to be stable to small deviations, both experimentally and theoretically. As a result, the inertial solutions pave the way to rapid quantum control of closed as well as open quantum systems. For large deviations from the inertial condition, the phase of the $SU(2)$ algebra solution remains accurate, involving inaccuracies dominated by an amplitude difference.
Response of hydrological processes to land‐cover and climate changes in Kejie watershed, south‐west China

Land‐cover/climate changes and their impacts on hydrological processes are of widespread concern and a great challenge to researchers and policy makers. Kejie Watershed in the Salween River Basin in Yunnan, south‐west China, has been reforested extensively during the past two decades. In terms of climate change, there has been a marked increase in temperature. The impact of these changes on hydrological processes required investigation: hence, this paper assesses aspects of changes in land cover and climate. The response of hydrological processes to land‐cover/climate changes was examined using the Soil and Water Assessment Tool (SWAT) and impacts of single factor, land‐use/climate change on hydrological processes were differentiated. Land‐cover maps revealed extensive reforestation at the expense of grassland, cropland, and barren land. A significant monotonic trend and noticeable changes had occurred in annual temperature over the long term. Long‐term changes in annual rainfall and streamflow were weak; and changes in monthly rainfall (May, June, July, and September) were apparent. Hydrological simulations showed that the impact of climate change on surface water, baseflow, and streamflow was offset by the impact of land‐cover change. Seasonal variation in streamflow was influenced by seasonal variation in rainfall. The earlier onset of monsoon and the variability of rainfall resulted in extreme monthly streamflow. Land‐cover change played a dominant role in mean annual values; seasonal variation in surface water and streamflow was influenced mainly by seasonal variation in rainfall; and land‐cover change played a regulating role in this. Surface water is more sensitive to land‐cover change and climate change: an increase in surface water in September and May due to increased rainfall was offset by a decrease in surface water due to land‐cover change. A decrease in baseflow caused by changes in rainfall and temperature was offset by an increase in baseflow due to land‐cover change. Copyright © 2009 John Wiley & Sons, Ltd.
Ultrasound Study of the Fetus in Diabetic Mothers in Second and Third Trimester

DOI: 10.21276/sjams.2017. 5.12. 22 Abstract: Diabetes mellitus (DM) is a common medical complication seen in pregnancy. Maternal hyperglycemia results in fetal hyperinsulinemia causing an increased rate of perinatal mortality, congenital malformations, intrauterine growth restriction (IUGR), macrosomia, shoulder dystocia, metabolic complications and birth trauma. The most common congenital malformations seen include cardiac defects, sacral agenesis, neural tube defects and renal abnormalities. A total of 50 patients were taken up for assessment. These were patients who were pregnant and have diabetes prior to their current pregnancy. The numbers of patients among these who were either type 1 diabetic or type 2 diabetic are given in the details of the findings of the study. These were mostly outpatients who came for their regular antenatal check-ups, though some of them, especially those in the third trimester, were admitted for either monitoring of their glucose levels and / or safe confinement. This study is a prospective study with choosing of the subjects done with the help of a small interview prior to the regular ultrasound examination whether they have a history of diabetes before conception. After choosing the appropriate subjects, they are consequently followed up for evaluation and monitoring of the various fetal parameters noted during the ultrasound examination. Some of the main parameters taken into account include the fetal abdominal circumference, the amniotic fluid index, the width of the placenta and if possible, an anomaly scan of the fetus, keeping in mind the limitations regarding the gestational age of the mother. These findings are appropriately tabulated and compared with the existing literature prevailing for this study.
Association of Calpastatin ( CAST ) Gene Polymorphism with Weaning Weight and Ultrasonic Measurements of Loin Eye Muscle in Kıvırcık Lambs

This study was to investigate the association of Calpastatin (CAST) gene with carcass quality characteristics in Kıvırcık lambs, which are important in Turkey in terms of meat production and quality. It was found that allele M of Calpastatin locus was the most common allele. MM, MN and NN genotype frequencies were 72.91%, 22.66% and 4.43%, respectively. This SNP was associated with backfat thickness and skin+backfat thickness values of loin eye muscle (Musculus longissimus thoracis et lumborum-MLD) and average daily gain (P<0.05). Live weight, average daily gain, backfat thickness and skin+backfat thickness mean values were found to be lower in animals with NN genotype when compared to those with MM and MN genotype. The results showed that Calpastatin gene affected back fat and skin+backfat and that they had less fatty carcass than those with NN genotype.
Seismicity Along the South American Subduction Zone: Large Earthquakes, Tsunamis, and Subduction Zone Complexity

article i nfo Earthquakes along the shallow South American subduction zone exhibit heterogeneous rupture characteristics, going back several centuries of the earthquake record in this area. This heterogeneity is manifest in several ways, such as changes in rupture mode from magnitude N8 events during one century followed by smaller ones in other time periods, as well as unusual tsunami events. There is also an apparent interaction between earthquake rupture and subducting plate complexity in this region. Significant complexity exists on the subducting Nazca plate, including fracture zones and ridges such as the large Nazca Ridge. Several large magnitude earthquakes have occurred in the region of ridge subduction, but no earthquake rupture has ruptured through these features into adjacent regions, suggesting that these subducting features act to segment the margin. Other features, such as fracture zones and variable sediment thickness on the Nazca Plate, appear to influence earthquake behavior over a wide range of magnitude scales. Upper plate features such as crustal faults also lead to heterogeneous earthquake behavior. Here I provide an overview of seismicity along the margin since 1850 in the context of the subduction zone structures. This includes great earthquakes such as the 1906 Ecuador and 1960 Chile events. I also present results showing increased rupture complexity in moderate magnitude earthquakes that can also be linked to certain Nazca Plate features.