Miracle-dz/UniFAR-FTUs huggingface dataset:
Particle Accumulation in Microchannel and Its Reduction by Surface Acoustic Wave (SAW)

Printing highly viscous ink through small nozzle(s) is limited because of the clogging problem. Particle accumulation along the nozzle wall makes the channel gradually narrower and finally obstructs the upstream flow. In order to understand this phenomenon the accumulation of micro-particles in a 100m microfluidic channel was observed under a microscope. Concentration of sodium alginate and micro-particles, flow rate were varied, and the accumulation rate was used to characterize the clogging problem. It is found that increasing the particle concentration and decreasing the flow rate would expedite the accumulation rate. At the flow rate of 10 l/min and particle concentration of 1% and 1.4% the accumulation rate was 2.8 and 3.1 %/min, respectively. The corresponding values decreased to 0.006 and 0.010 min-1 at the flow rate of 2 l/min. Increasing the particle concentration from 0.2%, 0.6%, 1.0% to 1.4% shows gradual increase of accumulation rate from 1.5, 2.1, 2.8 to 3.1 %/min, respectively. With 1% micro-particles and 1%, 3% and 5% alginate the accumulation rate was 4.6, 5.9 and 4.1 %/min, respectively. However, above 4% alginate concentration, the micro-particles would agglomerate into a bridge structure for partial obstruction. In order to reduce the particle accumulation, the standing SAW was generated in the microfluidic channel using a pair of interdigitated transducer (IDT) at the optimum frequency and power to move the accumulated particles away from the wall and, therefore, reduce the chance of clogging. The accumulation rate dropped from 3.14 %/min to 0.21 %/min at the flow rate of 2 l/min and 1.4% particle in water. In summary, the dependence of particle accumulation on the hydrodynamic parameters was found. Applying standing SAW could effectively reduce the particle accumulation, which may enhance the accuracy and reliability in 3D printing.
Simulation and Optimization Methods for Assessing the Impact of Aviation Operations on the Environment

There is increased awareness of anthropogenic factors affecting climate change and urgency to slow the negative impact. Greenhouse gases, oxides of Nitrogen and contrails resulting from aviation affect the climate in different and uncertain ways. This paper develops a flexible simulation and optimization software architecture to study the trade-offs involved in reducing emissions. The software environment is used to conduct analysis of two approaches for avoiding contrails using the concepts of contrail frequency index and optimal avoidance trajectories.
PENGEMBANGAN FILTER AIR DENGAN BAHAN KERAMIK UNTUK PENINGKATAN KUALITAS AIR SUNGAI

Potable water will increasingly scarce with a concomitant increase in population and the natural environmental increasingly difficult to equal this basic requirement. Ironically, research development for potable water is very slow dan its look like not taken seriously. All this time, dempet river in Kabupaten Demak is one of water sources that be used by local people for daily needed. One of option that recommended by Indonesian Ministry of Health (2008) for processing household water consumption is use ceramics filter. Therefore, this research do for knowing effect the ceramics material in water filter to increase quality of potable water. Research start with measure debit and permeability of filter and measure turbidity level of water after it passes the filter. The result of this research showing water filter with ceramics in its basic material is very good for processing potable water in small scale.
Trophic interactions between zooplankton and the microbial community in contrasting food webs: the epilimnion and deep chlorophyll maximum of a mesotrophic lake

Trophic interactions between the mesozooplankton and the microbial web (bacteria, protozoa) were studied in 2 in situ grazing experiments in the epilimnion and the deep chlorophyll maximum (DCM) of a mesotrophic lake. We combined the Landry-Hassett dilution technique, whereby growth and grazing rates can be determined simultaneously, with the presence or absence of mesozooplankton and additional nutrients. The epilimnion was cladoceran-dominated, and had relatively high ciliate, and low heterotrophic nanoflagellate (HNF) abundance, while the DCM was rotifer-dominated, with fewer ciliates, but higher HNF abundance. Temperature differed by 13°C (22°C in the epilimnion; 9°C in the DCM). The community differences between the epilimnion and DCM and the experimental manipulations had their greatest effects on ciliates, lesser effects on HNF, and essentially no net effect on bacteria. Bacteria growth rates and grazing losses did not differ between the epilimnion and DCM, despite the large differences in chlorophyll a and abiotic parame- ters, and were independent of nutrient addition or mesozooplankton removal. In contrast, the exper- imental manipulations produced relatively moderate changes in HNF growth rates and grazing losses in both the epilimnion and DCM. Although HNF densities were 3 times higher in the DCM than the epilimnion, epilimnetic HNF growth rates were approximately twice the rate found in the DCM. This was consistent with both higher temperature and a release from predation through indi- rect predatory effects on alternative HNF predators like ciliates. In the DCM, crustacean zooplank- ton were less abundant and therefore had smaller direct and indirect effects on the HNF, while the metazoan microzooplankton (mainly rotifers) were more important. Ciliate growth rates were lower in the epilimnion than in the DCM, but only in the epilimnion were ciliate growth rates enhanced by the addition of nutrients. The cladoceran-dominated community of the epilimnion was able to reduce ciliate growth rates to negative values, while in the rotifer-dominated DCM, ciliate growth rates were always positive along a predator density gradient. These results demonstrate that while ciliates, and to a lesser extent heterotrophic flagellates, respond quickly to changes in predator community com- position, there are so many other direct and indirect pressures on bacteria that changes in the meso- zooplankton community composition have no net effect on their adundance.
Ethnobotanical studies of some of the traditionally important medicinal plants of Punjab (India)

Plants have an immense role in the sustainability of human life and are being used since ancient times to fulfill their needs. The complex relationship between the plants, humans and cultures is studied with the help of ethnobotany. In Punjab, Azadirachta indica, Ficus bengalensis, F. religiosa, Terminalia arjuna, T. belerica, T. chebula, Emblica officinalis, Bauhinia variegata, Cassia fistula, Murraya koenigii, Citrus limon, Acacia nilotica, A. auruculiformis, Mangifera indica, Tinospora cordifolia, Aegle marmelos, Dalbergia sisso, Psidium guajava, Ziziphus jujuba, Albizza lebbek, Morus alba plants in various forms are used extensively for the treatment of different ailments. In this review, the role of traditionally important medicinal plants that are grown in Punjab (India) have been evaluated alongwith their use as local remedies.
Contrast Invariant SNR

We design an image quality measure independent of local contrast changes, which constitute simple models of illumination changes. Given two images, the algorithm provides the image closest to the first one with the component tree of the second. This problem can be cast as a specific convex program called isotonic regression. We provide a few analytic properties of the solutions to this problem. We also design a tailored first order optimization procedure together with a full complexity analysis. The proposed method turns out to be practically more efficient and reliable than the best existing algorithms based on interior point methods. The algorithm has potential applications in change detection, color image processing or image fusion. A Matlab implementation is available at http://www.math.univ-toulouse.fr/ ∼ weiss/PageCodes.html.
Understanding Emojis and their Semantics : A Survey

In social media, it has become a trend to use emojis along with text to be more expressive. These emojis have become an essential part of computer mediated communication. In recent years, emojis have become a hot topic of research in the field of natural language processing due to their varied semantics and senses. This paper gives an introduction to various open resources that are available for emojis. It also compiles various works that have been done in different research areas of emojis to gain some insights.
Adolescent Neural Responses to Antismoking Messages, Perceived Effectiveness, and Sharing Intention

ABSTRACT Health communication delivered via media channels can substantially influence adolescents’ choices, and the effects of messages are amplified through interpersonal sharing. However, the underlying psychological and neurocognitive mechanisms that influence message effectiveness and likelihood of sharing are not well understood, especially among adolescents. Based on research in adults, we hypothesized and preregistered that message-induced neural activation in regions associated with self-reflection, social processing, and positive valuation would be related to greater perceived ad effectiveness and intentions to share messages. We focused on brain activity in meta-analytically defined regions associated with these three processes as 40 adolescent nonsmokers viewed advertisements from “The Real Cost” antismoking campaign. Perceived message effectiveness was positively associated with brain activity in the hypothesized social processing regions and marginally associated with brain activity in self-relevance regions, but not associated with brain activity in valuation regions. By contrast, intentions to share the messages were not associated with neural response in these 3 systems. In contrast to previous neuroimaging studies with adult subjects, our findings highlight the role of social cognition in adolescent processing of persuasive messages. We discuss the possibility that the mental processes responsive to effective and shareworthy messages may reflect developmental processes pertinent to media effects.
Direct Shot Correspondence Matching

We propose a direct shot method for the task of correspondence matching. Instead of minimizing a loss based on positive and negative pairs, which requires hard-negative mining step for training and nearest neighbor search step for inference, we propose a novel similarity heatmap generator that makes these additional steps obsolete. The similarity heatmap generator efﬁciently generates peaked similarity heatmaps over the target image for all the query keypoints in a single pass. The matching network can be ap-pended to any standard deep network architecture to make it end-to-end trainable with N-pairs based metric learning and achieves superior performance. We evaluate the proposed method on various correspondence matching datasets and achieve state-of-the-art performance.
ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release

In many real-world systems, such as Internet of Thing, sensitive data streams are collected and analyzed continually. To protect privacy, a number of mechanisms are designed to achieve ϵ-differential privacy for processing sensitive streaming data, whose privacy loss is rigorously controlled within a given parameter ϵ. However, most of the existing studies do not consider the effect of temporal correlations among the continuously generated data on the privacy loss. Our recent work reveals that, the privacy loss of a traditional DP mechanism (e.g., Laplace mechanism) may not be bounded by ϵ due to temporal correlations. We call such unexpected privacy loss Temporal Privacy Leakage (TPL). In this demonstration, we design a system, ConTPL, which is able to automatically convert an existing differentially private streaming data release mechanism into one bounding TPL within a specified level. ConTPL also provides an interactive interface and real-time visualization to help data curator understand and explore the effect of different parameters on TPL.
Detection of Intrinsic Source Structure at ∼3 Schwarzschild Radii with Millimeter-VLBI Observations of SAGITTARIUS A*

We report results from very long baseline interferometric (VLBI) observations of the supermassive black hole in the Galactic center, Sgr A*, at 1.3 mm (230 GHz). The observations were performed in 2013 March using six VLBI stations in Hawaii, California, Arizona, and Chile. Compared to earlier observations, the addition of the APEX telescope in Chile almost doubles the longest baseline length in the array, provides additional uv coverage in the N–S direction, and leads to a spatial resolution of ∼30 μas (∼3 Schwarzschild radii) for Sgr A*. The source is detected even at the longest baselines with visibility amplitudes of ∼4%–13% of the total flux density. We argue that such flux densities cannot result from interstellar refractive scattering alone, but indicate the presence of compact intrinsic source structure on scales of ∼3 Schwarzschild radii. The measured nonzero closure phases rule out point-symmetric emission. We discuss our results in the context of simple geometric models that capture the basic characteristics and brightness distributions of disk- and jet-dominated models and show that both can reproduce the observed data. Common to these models are the brightness asymmetry, the orientation, and characteristic sizes, which are comparable to the expected size of the black hole shadow. Future 1.3 mm VLBI observations with an expanded array and better sensitivity will allow more detailed imaging of the horizon-scale structure and bear the potential for a deep insight into the physical processes at the black hole boundary.
Minimizing Distortion of Piecewise Linear Spherical Mapping

We introduce a spherical parameterization algorithm for closed genus-0 surfaces. Given such a surface M , on a unit sphere domain S, the proposed algorithm computes a piecewise linear mapping φ : S → M defined on vertices of M . We minimize the distortion of φ, composed of angle-preserving and area-preserving terms. The computation algorithm is efficient and it converges to a stationary point which is most likely a local minimum. 1 Background and Related Work of Spherical Parameterization The spherical parametrization has been studied as a key enabling technology in many applications such as re-meshing, morphing animation, shape analysis, and so forth. Many real solid objects are topologically equivalent to a solid sphere and their boundaries are closed genus-0 surfaces. For these objects, using spherical domain for parameterization is most natural and can lead to a seamless continuous representation. Haker et al. [8] use stereographic projection to map the sphere onto planar domain, removing one triangle to make the boundary on C. Then it composes the planar parameterization for the texture mapping purpose. Alexa [2] and Kobbelt et al. [13] extended planar discrete barycentric/harmonic methods to the sphere, and used GaussSeidel iterations to adjust vertices on the tangent plane then project them back onto the unit sphere. In [11], the mesh is partitioned into two halves, each mapped onto a hemisphere using a modified Tutte [21] graph embedding procedure; the cutting boundary is parameterized onto a great circle. Gu and Yau [7] show that the harmonic spherical mapping of genus-0 closed surface is conformal, and such parameterization is later used in brain data modeling application [6]. Gotsman et al [5] generalize the barycentric coordinates method to the sphere: based on spectral graph, theory, a quadratic system of equations was provided for the spherical equivalent of the barycentric formulation. Later, Saba et al. [16] provide a good initial guess and develop a robust solving scheme to more efficiently solve this system. Friedel et al. [4] derived the spherical Dirichlet energy and used it to compute spherical mapping with a mix of area and angle conservation. Sheffer et al. [19] generalized their planar angle-based-flattening algo-
Response Inhibition and Memory Retrieval of Emotional Target Words: Evidence from an Emotional Stop-Signal Task

Previous research suggests that emotional stimuli capture attention and guide behavior often automatically. The present study investigated the relationship between emotion-driven attention capture and motor response inhibition to emotional words in the stop-signal task. By experimental variations of the onset of motor response inhibition across the time-course of emotional word processing, we show that processing of emotional information significantly interferes with motor response inhibition in an early time-window, previously related to automatic emotion-driven attention capture. Second, we found that stopping reduced memory recall for unpleasant words during a subsequent surprise free recall task supporting assumptions of a link between mechanisms of motor response inhibition and memory functions. Together, our results provide behavioral evidence for dual competition models of emotion and cognition. This study provides an important link between research focusing on different sub-processes of emotion processing (from perception to action and from action to memory).
Amitosis generates differentiated cell nuclei from chomatin 1 mass formed after monolayer nuclei are aggregated , beome 2 pyknotic , and are fragmented : Differentiation of Epithelial 3 Domes

Amitosis generates differentiated cell nuclei from chomatin 1 mass formed after monolayer nuclei are aggregated, beome 2 pyknotic, and are fragmented: Differentiation of Epithelial 3 Domes, Part 3. 4 5 Honoree Fleming 6 Castleton State College, Castleton Vt. , Dean of Education, retired 7 founder CancerCellsinVitro.com 8 Castleton, Vermont 9 USA 10 Emails: honoree.fleming@castleton.edu or 11 honoree@cancercellsinvitro.com 12 13
Differential expression of the virulence-associated protein p 57 and characterization of its duplicated gene msa in virulent and attenuated strains of Renibacterium salmoninarum

Virulence mechanisms utilized by the salrnonld fish pathogen Renibactedum salmoninarum are poorly understood. One potential virulence factor is p57 (also designated MSA for major soluble antigen), an abundant 57 kDa soluble protein that is predominately localized on the bacterial cell surface with significant levels released into the extracellular milieu. Previous studies of an attenuated strain, MT 239, indicated that it differs from virulent strains in the amount of surface-associated p57. In this report, we show overall expression of p57 in R. salmoninarum MT 239 is considerably reduced as compared to a virulent strain, ATCC 33209. The amount of cell-associated p57 is decreased while the level of p57 in the culture supernatant is nearly equivalent between the strains. To determine if the lowered amount of cell-associated p57 was due to a sequence defect in p57, a genetic comparison was performed. Two copies of the gene encoding p57 (msal and msa2) were found in 33209 and MT 239, as well as in several other virulent isolates. Both copies from 33209 and MT 239 were cloned and sequenced and found to be identical to each other, and identical between the 2 strains. A comparison of msal and msa2 within each strain showed that their sequences diverge 40 base pairs 5' to the open reading frame, while sequences 3' to the open reading frame are essentially identical for at least 225 base pairs. Northern blot analysis showed no difference in steady state levels of msa mRNA between the 2 strains. These data suggest that while cell-surface localization of p57 may be important for R. salmoninarum virulence, the Wferences in localization and total p57 expression between 33209 and MT 239 are not due to differences in msa sequence or differences in steady state transcript levels.
Postharvest UV-C treatment combined with 1-methylcyclopropene (1-MCP), followed by storage in continuous low-level ethylene atmosphere, improves the quality of tomatoes

ABSTRACT Mature green tomatoes (Solanum lycopersicum L. cv Neang Pich) were exposed to 13.6 kJ m−2 UV-C or 0.5 μL L−1 1-MCP or combination of 13.6 kJ m−2 UV-C and 0.5 μL L−1 1-MCP, with appropriate untreated controls. After treatment, tomatoes were stored in air containing 0.1 μL L−1 ethylene at 20°C and 100% RH. The untreated fruit ripened significantly faster than those of all other treatments. UV-C treatment alone was able to delay fruit ripening by up to 5 days longer compared to untreated fruits whilst the additional of 1-MCP further delayed fruit ripening. UV-C and 1-MCP treatments alone or in combination had significantly slower ethylene production rates throughout the storage period. The fruit treated with the combination of 1-MCP and UV-C was significantly firmer and had higher total phenolic content compared to that of the other treatments. However, there was no difference between treatments in soluble solids content/titratable acids ratio, chlorophyll content, lycopene content and total antioxidant activity. These results show that UV-C and 1-MCP treatment delay ripening and improve the quality of tomatoes in the presence of low-level ethylene during storage. This new treatment could be used to extend the shelf-life of mature green tomatoes through the supply chain without the use of refrigeration.
Size determination of (bio)conjugated water-soluble colloidal nanoparticles : A comparison of different techniques

The size of inorganic colloidal nanoparticles coated with organic layers of different thickness has been measured with different techniques, including transmission electron microscopy, gel electrophoresis, size exclusion chromatography, fluorescence correlation spectroscopy, and thermophoresis. The results are critically compared, and the advantages and disadvantages of the respective methods are discussed.
Learning Latent Networks via Matrix Decomposition by Solving Lyapunov Equations With Applications in Gene Regulatory Networks

Motivation: One common difficulty in the study of biological networks is the lack of certainty about the presence or absence of edges between nodes due to technical limitations in biological experiments. As a fundamental question, learning the true latent networks, or link prediction has attracted increasing attention in bioinformatics. We propose a new criterionbased method utilizing observed network topology as well as information on nodes. The key ingredient of this work is the decomposition of the latent probability matrix as a product of two low-rank matrices, which leads to a very efficient algorithm based on solving Lyapunov equations. Results: The algorithm is computationally efficient and performs well under different simulation setups for recovery of latent networks. And the proposed method has been applied to a gene regulatory network of E. coli. Contact: yzhao15@gmu.edu Supplementary information: Supplementary data are available at Bioinformatics online.