Miracle-dz/UniFAR-FTUs huggingface dataset:
A framework of artificial intelligence augmented design support

ABSTRACT Recent advances in Artificial Intelligence raise interest in its participation in design activity, which is commonly considered to be complex and human-dominated. In this work, we aim to examine AI roles in early design stages. The human ideation components and design tools related to AI are discussed in a framework of AI-augmented design support. The framework develops a hierarchy of design cognition (basis), approaches and principles. The cognitive models are constructed in an empirical study of 30 designers (26 for analysis, 4 for pilot study) by concurrent Think-Aloud protocol and behavior analysis. The process of producing new design ideas is explained by a transparent analysis of designers’ language and behaviors. Three strategies to organize cognitive activities in design ideation are summarized: develop structured consideration, relate to a scenario, and stick-to designing. These strategies suggest AI could act as (1) representation creation, (2) empathy trigger and (3) engagement, in principles of “knowledge-driven” and “decompose-and-integrate”. The design support with AI provides new perspectives on computer-based design tools that limit to well-defined design variables. The framework is built on a generic notion of design activity and “mimic” human design rationales, expected to benefit research of domain-independent computational design supports and cognitive supports.
UvA-DARE ( Digital Academic Repository ) Reversing k-symmetries in dynamical systems

We generalize the concept of (reversing) symmetries of a dynamical system, i.e. we study dynamical systems that possess symmetry properties only if considered on a proper time scale. In particular (considering dynamical systems with discrete time), the kth iterate of a map may possess more (reversing) symmetries than the map itself. In this way the concepts of (reversing) symmetries and (reversing) symmetry groups are generalized to (reversing) k-symmetries and (reversing) k-symmetry groups. Furthermore, a method is studied for finding orbits that are (k-) symmetric with respect to reversing (k-)symmetries. Firstly an existing method for finding orbits that are symmetric with respect to one reversing symmetry is extended to the case of more than one reversing symmetry and secondly a generalization of this method to the case of reversing k-symmetries is introduced. Some physically relevant examples of dynamical systems possessing reversing k-symmetries are discussed briefly.
An Orthogonal Model to Study the Effect of Electrospraying Parameters on the Morphology of poly (d,l)-lactide-co-glycolide (PLGA) Particles

Electrospraying has been recognized as an important technique for the production of microparticles for pharmaceutical applications. Nevertheless, the produce of poly (d,l)-lactide-co-glycolide (PLGA) microspheres with a desired size distribution remains a challenge. We conducted an empirical study, based on a fractional orthogonal design, to optimize the size distribution of electrosprayed particles. The influence of different processing factors, including PLGA concentration in the solution, volumetric flow rate of the solution, travel distance between the needle tip and the collection, voltage applied to the polymer solution, size of the needle, and type of solvent on the electrospraying of polymeric microparticles was investigated. After electrospraying, the size distribution of the PLGA particles was characterized and analyzed. Among the selected factors, the type of solvent used was the principal factor affecting the particle size of electrosprayed microspheres. Hexafluoro-2-propanol (HFIP) electrosprayed microparticles with the smallest diameter. However, hollowed particles could be seen among these microspheres. Dichloromethane (DCM) was found to electrospray microspheres with a fairly spherical geometry, while trichloromethane (TCM) electrosprayed particles with relatively rougher surfaces. Finally, the particle size of sprayed microspheres decreases somewhat with the polymer concentration and travel distance.
Pseudo-Skeleton Approximations by Matrices of Maximal Volume

1. M. M. Gekhtman and I. V. Stankevich, Spectral Theory of Some Nonclassical Differential Operators [in Russian], Textbook, Dagestan State Univ., Makhachkala (1985). 2. S. Albeverio and F. Gestezi, Solvable Models in Quantum Mechanic Springer-Verlag, New York-Berlin-London (1988). 3. G. A. Aigunov and L. M. Dzhabrailova, Izv. Vyssh. Uchebn. Zaved. , Estestvennye Nauki, Severnyi Kavkaz, No. 1, 3-9 (1997).
ENTROPY AND HEAT EFFICIENCY OF THE INNER COMBUSTION ENGINE

Cars are indispensable and convenient tools in modern society and have been used without heaviest trouble since their invention some 150 years ago, save for the environmental pollution they cause. Like many other modern conveniences, almost no attention is paid to its working principle and people receive only vague images from the propaganda that the companies provide. But, the car engines are far more crucial for grasping the mechanism that the human being has ever created than other black boxes including computers.
Towards Internal Structuring of Electrospun Fibers by Hierarchical Self‐Assembly of Polymeric Comb‐Shaped Supramolecules

Polystyrene-block-poly(4-vinylpyridine) with nominally one pentadecylphenol molecule hydrogen-bonded to each pyridine group has been electrospun, leading to fibers with a hierarchical, structure-within-structure morphology (see Figure). An internal structure on the nanometer length scale exists within a structure on the tens-of-manometers length scale. Internal porosity can be obtained by selective removal of the amphiphile.
Immune Reconstitution Inflammatory Syndrome after Antiretroviral Therapy in AIDS Patients with Cryptococcal Meningitis : A Prospective Multicenter Study

Somnuek Sungkanuparph, Scott G. Filler, Ploenchan Chetchotisakd, Peter G. Pappas, Tracy L. Nolen, Weerawat Manosuthi, Thanomsak Anekthananon, Michele I. Morris, Khuanchai Supparatpinyo, Heather Kopetskie, Amy S. Kendrick, Philip C. Johnson, Jack D. Sobel, and Robert A. Larsen Faculty of Medicine Ramathibodi Hospital, and Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Faculty of Medicine, Khon Kaen University, Khon Kaen, Department of Medicine, Bamrasnaradura Infectious Diseases Institute, Nonthaburi, and Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Los Angeles Biomedical Research Institute at Harbor–University of California at Los Angeles Medical Center, Torrance, and Faculty of Medicine, University of Southern California, Los Angeles; University of Miami Miller School of Medicine, Miami, Florida; University of Alabama at Birmingham Medical Center, Birmingham; University of Texas Houston Medical School, Houston; Wayne State University, Detroit, Michigan; and Rho Federal Systems Division, Chapel Hill, North Carolina
Association of hemoglobin concentration with heart rate variability in young adult males

Previous studies have reported decreased heart rate variability in several diseases to be associated with increased cardiac risk including various anemias. The relation of heart rate variability with underlying factors causing anemia needs further elucidation. Thus this study was an attempt to find out and determine the strength of correlation between heart rate variability indices and hemoglobin concentration. The present study was conducted in the Upgraded Department of Physiology, S.M.S. Medical College, Jaipur on sixty healthy, life style matched young adult males aged 20-30 years, recruited from the employees and medical undergraduates. Hemoglobin estimation was done using Sahli’s method. HRV assessment was done by recording 5 minute electrocardiogram using RMS ECG 101 instrument and later analyzed by HRV Software Version 1.1. Correlation coefficient was calculated between various heart rate variability indices and haemoglobin concentration using Pearson’s correlation coefficient. All the time and frequency domain parameters correlated positively with hemoglobin concentration except the mean NN and LF norm. Only the total power (r=0.267; p<0.05) and HF band (r=0.283; p<0.05) of HRV showed statistically significant positive correlation with hemoglobin concentration in the healthy young adult males. Altered levels of hemoglobin concentrations lead to alteration of overall status of heart rate variability along with cardiac parasympathetic activity, subsequently putting anemic subjects with low hemoglobin at greater cardiac risk.
Aalborg Universitet Benchmarking Domain-specific Expert Search Using Workshop Programme Committees

Traditionally, relevance assessments for expert search have been gathered through self-assessment or based on the opinions of coworkers. We introduce three benchmark datasets for expert search that use conference workshops for relevance assessment. Our data sets cover entire research domains as opposed to single institutions. In addition, they provide a larger number of topic-person associations and allow a more objective and fine-grained evaluation of expertise than existing data sets do. We present and discuss baseline results for a language modelling and a topic-centric approach to expert search. We find that the topic-centric approach achieves the best results on domain-specific datasets.
The Near-Infrared Sky Surveyor

[NIRSS is one of three concepts that contributed to the Wide-Field Infrared Survey Telescope (WFIRST) mission advocated by the Decadal Survey. ] Operating beyond the reaches of the Earth's atmosphere, free of its limiting absorption and thermal background, the Near-Infrared Sky Surveyor (NIRSS) will deeply map the entire sky at near-infrared wavelengths, thereby enabling new and fundamental discoveries ranging from the identification of extrasolar planets to probing the reionization epoch by identifying thousands of quasars at z>10. NIRSS will directly address the NASA scientific objective of studying cosmic origins by using a 1.5-meter telescope to reach full-sky 0.2 uJy (25.6 mag AB) sensitivities in four passbands from 1 to 4 microns in a 4-yr mission. At the three shorter passbands (1 - 2.5 microns), the proposed depth is comparable to the deepest pencil-beam surveys done to date and is 3000 times more sensitive than the only previous all-sky near-infrared survey, 2MASS. At the longest passband (3.5 micron), which is not feasible from the ground, NIRSS will be 500 times more sensitive than WISE. NIRSS fills a pivotal gap in our knowledge of the celestial sphere, is a natural complement to WISE, and is well matched to the next generation of deep (0.1 uJy), wide-area (>2 pi ster), ground-based optical surveys (LSST and Pan-Starrs). With the high thermal backgrounds of ground-based infrared observations, a near-infrared full sky survey at sub-uJy sensitivity is only feasible from space.
An Approach for Assessing Reusability of Component-Based Software ( CBS )

Component Based Software Engineering (CBSE) is a paradigm that emphasizes on the design and construction of computerbased system using reusable software components because reusability is an effective way to improve productivity in CBSD. This paper proposes a modified reusability metrics suite and a new technique for analyzing the reusability of component adopted for component based system. Also, it introduces new COTS metrics for CBSE system using CK metrics.
Number : Title : Completely exceptional 2 nd order PDEs via conformal geometry and BGG resolution

By studying the development of shock waves out of discontinuity waves, in 1954 P. Lax discovered a class of PDEs, which he called "completely exceptional", where such a transition does not occur after a finite time. A straightforward integration of the completely exceptionality conditions allowed Boillat to show that such PDEs are actually of Monge-Ampere type. In this paper, we first recast these conditions in terms of characteristics, and then we show that the completely exceptional PDEs, with 2 or 3 independent variables, can be described in terms of the conformal geometry of the Lagrangian Grassmannian, where they are naturally embedded. Moreover, for an arbitrary number of independent variables, we show that the space of r-th degree sections of the Lagrangian Grassmannian can be resolved via a BGG operator. In the particular case of 1st degree sections, i.e., hyperplane sections or, equivalently, Monge-Ampere equations, such operator is a close analog of the trace-free second fundamental form. Completely exceptional 2nd order PDEs via conformal geometry and BGG resolution
Light availability for Chlorobium phaeobacteroides development in Lake Kinneret

The green sulfur bacterium Chlorobium phaeobacteroides forms a dense population in the oxygen-devoid layers of Lake Kinneret, Israel, from July throughout November. The typical vertical distribution of the species is characterized by a prominent peak at the center of the metalimnion, but the light available at that depth in Lake Kinneret is far below the values that enable maximal photosynthetic activity of C. phaeobacteroides. In this paper, we report on our findings regarding the characteristics of C. phaeobacteroides development in Lake Kinneret, both in space and time. We further quantified the available light in the metalinmion and suggest a model for the development of C. phaeobacteroides in the lake. Spatial analysis of C. phaeobacteroides suggest that a combination of diurnal north-west wind, diurnal oscillations of the metalimnion and the hours of sunlight result in a situation in which the metalimnion in some parts of the lake is exposed to slightly higher light intensities than the other parts of the lake, and therefore allows higher concentrations of C. phaeobacteroides to develop. The analysis of C. phaeobacteroides with time suggests that it can be described fairly well by the logistic growth model.
Atomic oxygen species on silver: Photoelectron spectroscopy and x-ray absorption studies

Two oxygen species, which are constituents of the active centers for ethylene epoxidation over silver, have been characterized by a number of physical methods sensitive to adsorbate electronic structure such as x-ray photoelectron, ultraviolet photoelectron, Auger, and x-ray-absorption near-edge structure spectroscopy. One of the species denoted as nucleophilic oxygen due to its activity in total oxidation only exhibits spectroscopic characteristics close to those of bulk ${\mathrm{Ag}}_{2}\mathrm{O}. $ This allows us to describe this species as atomically adsorbed oxygen in the structure of surface silver(I) oxide. The considerable extent of the covalency in bonding of this oxidelike oxygen with the silver surface due to hybridization of $\mathrm{O}2p$ levels with $\mathrm{Ag}4d$ and $\mathrm{Ag}5sp$ orbitals should be also emphasized. Contrary to this, only $5sp$ orbitals of silver hybridize with $2p$ orbitals of oxygen as the other oxygen species forms. As a consequence, this species being also atomic oxygen is characterized by a lower oxygen-silver bonding interaction and a lower charge on the oxygen. The latter causes the activity of this electrophilic species in epoxidation. Possible models of adsorption centers for these oxygen species are discussed.
B-Spline FEM for Time-Harmonic Acoustic Scattering and Propagation

We study the application of a B-splines Finite Element Method (FEM) to time-harmonic scattering acoustic problems. The infinite space is truncated by a fictitious boundary and second-order Absorbing Boundary Conditions (ABCs) are applied. The truncation error is included in the exact solution so that the reported error is an indicator of the performance of the numerical method, in particular of the size of the pollution error. Numerical results performed with high-order basis functions (third or fourth order) showed no visible pollution error even for very high frequencies. To prove the ability of the method to increase its accuracy in the high frequency regime, we show how to implement a high-order Padé-type ABC on the fictitious outer boundary. The above-mentioned properties combined with exact geometrical representation make B-Spline FEM a very promising platform to solve high-frequency acoustic problems.
Tool Choice Matters: JavaScript Quality Assurance Tools and Usage Outcomes in GitHub Projects

Quality assurance automation is essential in modern software development. In practice, this automation is supported by a multitude of tools that fit different needs and require developers to make decisions about which tool to choose in a given context. Data and analytics of the pros and cons can inform these decisions. Yet, in most cases, there is a dearth of empirical evidence on the effectiveness of existing practices and tool choices. We propose a general methodology to model the time- dependent effect of automation tool choice on four outcomes of interest: prevalence of issues, code churn, number of pull requests, and number of contributors, all with a multitude of controls. On a large data set of npm JavaScript projects, we extract the adoption events for popular tools in three task classes: linters, dependency managers, and coverage reporters. Using mixed methods approaches, we study the reasons for the adoptions and compare the adoption effects within each class, and sequential tool adoptions across classes. We find that some tools within each group are associated with more beneficial outcomes than others, providing an empirical perspective for the benefits of each. We also find that the order in which some tools are implemented is associated with varying outcomes.
Evaluation of Gelabar Earth Dam Behavior during Construction and First Watering by the Method of Limited Components and Comparison with Real Amount Resulted by Precise Instruments Data

The increase in pore water pressure in earth-rock fill dams with clay core during construction and first watering can cause the start and progress in hydraulic fracture. Construction costs being high and also the damage caused by dams’ fracture make the necessity of taking care and behavior survey of earth dams, more obvious than anything. According to this, in this research while modeling Gelabar earth dam, pore water pressure, pore water pressure ratio, the amount of total stress and effective stress, arching and lateral soil pressure ratio is measured and has been compared with the amount measured by precise instruments which has the construction capability of Plaxis v8.5 for numerical modeling from two –dimensioned software, has been used. Behavior models used in this analysis, Moher- Coulomb and it is xis v8 hardening. Considering the data of precise instruments installed on Dam’s body and implementing return analysis, real parameters of construction materials was obtained. Evaluation of numerical modeling results and precise instruments can find out an appropriate Dam behavior and consequently, the correct modeling procedure. Also, studies have been indicator of suitable stability and safe position for Gelabar Dam.
Effects of fungicide seed treatments and a winter cereal rye cover crop in no till on the seedling disease complex in corn

Abstract Corn seed is treated with various fungicide active ingredients that target several fungal and oomycete genera in the corn seedling disease complex. In this study, we investigated the effects of various combinations of fungicides as seed treatments on disease development, pathogen prevalence and seedling growth of corn planted after a winter cereal rye cover crop or a winter fallow. Under controlled environment conditions, corn seed was treated with a combination of metalaxyl, pyraclostrobin, fludioxonil, ipconazole and sedaxane to reduce infection by Pythium, Fusarium and Rhizoctonia solani (treatment ALL); metalaxyl alone to reduce Pythium (P); metalaxyl and pyraclostrobin to reduce Fusarium and Pythium (FP); pyraclostrobin, fludioxonil, ipconazole and sedaxane to reduce Fusarium and R. solani (FR); and non-treated seed control (NT). Complementary field trials compared the ALL seed treatment against NT, with and without winter cereal rye. Under cold, wet environmental conditions, winter cereal rye negatively affected corn seedling growth and increased seedling root disease and Pythium incidence. In general, seed treatments improved seed germination and seedling growth (P < 0.05) in controlled environment conditions. Seed treatments active against Pythium spp. (i.e. P, FP and ALL) reduced radicle disease index scores (P < 0.01) compared with FR and NT. Pythium spp. were recovered less frequently from corn seedlings planted after winter cereal rye when treated with P, FP and ALL compared with FR and NT. No seed treatment effect was detected on the recovery of Fusarium spp. In the field, no effect of a fungicide seed treatment was detected on corn seedling growth or root disease incidence following winter cereal rye. Mesocotyl disease incidence, however, was reduced when using a fungicide treatment in 2014. These data suggest that Pythium species play a major role in the corn seedling disease complex following a winter cereal rye cover crop. Consequently, disease management in corn systems that include a winter cereal rye cover crop should explicitly consider Pythium spp.
A Novel Feature-Level Fusion Framework Using Optical and SAR Remote Sensing Images for Land Use/Land Cover (LULC) Classification in Cloudy Mountainous Area

Remote sensing data plays an important role in classifying land use/land cover (LULC) information from various sensors having different spectral, spatial and temporal resolutions. The fusion of an optical image and a synthetic aperture radar (SAR) image is significant for the study of LULC change and simulation in cloudy mountain areas. This paper proposes a novel feature-level fusion framework, in which the Landsat operational land imager (OLI) images with different cloud covers, and a fully polarized Advanced Land Observing Satellite-2 (ALOS-2) image are selected to conduct LULC classification experiments. We take the karst mountain in Chongqing as a study area, following which the features of the spectrum, texture, and space of the optical and SAR images are extracted, respectively, supplemented by the normalized difference vegetation index (NDVI), elevation, slope and other relevant information. Furthermore, the fused feature image is subjected to object-oriented multi-scale segmentation, subsequently, an improved support vector machine (SVM) model is used to conduct the experiment. The results showed that the proposed framework has the advantages of multi-source data feature fusion, high classification performance and can be applied in mountain areas. The overall accuracy (OA) was more than 85%, with the Kappa coefficient values of 0.845. In terms of forest, gardenland, water, and artificial surfaces, the precision of fusion image was higher compared to single data source. In addition, ALOS-2 data have a comparative advantage in the extraction of shrubland, water, and artificial surfaces. This work aims to provide a reference for selecting the suitable data and methods for LULC classification in cloudy mountain areas. When in cloudy mountain areas, the fusion features of images should be preferred, during the period of low cloudiness, the Landsat OLI data should be selected, when no optical remote sensing data are available, and the fully polarized ALOS-2 data are an appropriate substitute.