Miracle-dz/UniFAR-FTUs huggingface dataset:
Tracing Outflowing Metals in Simulations of Dwarf and Spiral Galaxies

We analyze the metal accumulation in dwarf and spiral galaxies by following the history of metal enrichment and outflows in a suite of 20 high-resolution simulated galaxies. These simulations agree with the observed stellar and gas-phase mass–metallicity relation, an agreement that relies on large fractions of the produced metals escaping into the circumgalactic media. For instance, in galaxies with Mvir ∼ 109.5–1010 , we find that about ∼85% of the available metals are outside of the galactic disk at z = 0, although the fraction decreases to a little less than half in Milky-Way-mass galaxies. In many cases, these metals are spread far beyond the virial radius. We analyze the metal deficit within the ISM and stars in the context of previous work tracking the inflow and outflow of baryons. Outflows are prevalent across the entire mass range, as is reaccretion. We find that between 40% and 80% of all metals removed from the galactic disk are later reaccreted. The outflows themselves are metal-enriched relative to the ISM by a factor of 0.2 dex because of the correspondence between sites of metal enrichment and outflows. As a result, the metal mass loading factor scales as , a somewhat shallower scaling than the total mass loading factor. We analyze the simulated galaxies within the context of analytic chemical evolution models by determining their net metal expulsion efficiencies, which encapsulate the rates of metal loss and reaccretion. We discuss these results in light of the inflow and outflow properties necessary for reproducing the mass–metallicity relation.
Caring at the end of life: Iranian nurses’ view and experiences

Nurses play a principal role in the caring for dying persons and their families. The nurses’ working organization and socialcontext may influence formation of their values and beliefs towards death and dying as well as their approach to thepersons who are dying. This study thus conducted to examine nurses’ view and describe their experiences regarding end oflife care. A mixed method research was conducted to describe Iranian nurses’ attitudes as well as their experiences in thefield of end of life care. FATCOD questionnaire was used to examine 55 oncology nurses’ attitudes towards caring fordying persons. Of these, 23 participated in qualitative part of study. In depth individual, audio-taped interviews wereconducted. A latent content analysis approach also was used to explore nurses’ experiences of caring for dying persons.The results showed a moderate positive attitude towards giving care to the people who are dying among the participants.They had no tendency to accept patients and their families as in charge decision makers or involve them in the care.Qualitative findings revealed two themes including: rewarding and disappointing experiences. The lack of palliative careunits and its education as well as some cultural and professional limitations may have contributed to the formation ofbarriers and negative attitude towards some aspects of the care among nurses working with dying people in the Iraniancontext. Therefore, establishment of palliative care unit, incorporation of palliative care into undergraduate nursingstudies, and cultural preparation through public education can improve quality of care at the end of life.
The Dynamics of Workplace Harassment and Revenge: Mediation and Moderation Effects

Wang, Qiang. M.S., Department of Psychology, Wright State University, 2008. The Dynamics of Workplace Harassment and Revenge: Mediation and Moderation Effects. This study examined the mediating role of rumination, state anger, and blame attribution, and the moderating role of trait forgiveness in the relationship between workplace harassment and revenge behavior. Results based on a sample of 310 employed students suggested that workplace harassment is positively associated with both major revenge and minor revenge. Also, the multiple mediation test showed that rumination, state anger, and blame attribution completely mediate the proposed relationships between workplace harassment and both types of revenge behavior. In addition, as proposed, trait forgiveness moderated the relationship between two internal states (i.e., state anger and blame attribution) and major revenge behavior, such that victims high in trait forgiveness sought major revenge less often when they were angry or attributed blame to the perpetrator. The theoretical, and practical implications of the findings were also discussed.
Particle filtering for computer vision-based identification of frame model parameters

In this paper we present a new approach for solving identification problems based on a novel combination of computer vision techniques, Bayesian state estimation and finite element method. Using our approach we solved two identification problems for a laboratory-scale aluminum frame. In the first problem, we recursively estimated the elastic modulus of the frame material. In the second problem, for the known elastic constant, we identified sequentially the position of a quasi-static concentrated load.
Post{Genome Applications Based on Multi{Parallel Computing over High Performance Network

To retrieve a particular sequence and to deduce a biological meaning from the monotonous arrangement of nucleotides, we need a powerful computer and a huge storage device[1]. One of the solutions is a multi{parallel network computing[2, 3, 4], which we devised for getting an arbitrary section of the human body using the Visible Human Project (VHP: National Library of Medicine in USA[5]) data set. We improved the system for the analysis of the function of a tumor suppressor gene, p53[6, 7], providing a Web{ based system. The background engine is powered by multi-parallel computing clusters interconnected with TCP/IP network. The engine has a head computer, which issues control commands to data processing nodes for various kinds of jobs such as retrieving particular patterns, generating DNA mapping images, loading data sections from genome database, and so on. By using this exible client/server structure connected over high performance network, we can eciently modify our system corresponding to increasing data and new algorithms for investigation by slightly changing the control procedures and increasing the number of the processor node.
Eigendecomposition filtering and reconstruction of the climatic indexes for the Brazilian Northeast

This work seeks through the intermediary of the eigendecomposition filtering and reconstructing technique the signal of the time series of Southern Oscillation Index (SOI), and analyze possible cycles that can be observed in this SOI time series. The technique of decomposition was very consistent and can show possible trends in cycles in time series of SOI. The final result is featuring a composition of components operating in the formation of the SOI variability signal, the first component is featuring approximately 1.33, 2.66, 3.58, 4.83 years and decadal time period, larger scales and periods, matching a variance approximately of 70% of the signal of the SOI time series. In addition to the influence of cycles of solar activity, associated with its number of sunspots, the variability observed from 20 to 27 years may be related to the interaction between Pacific Decadal Oscillation (PDO) and Southern Oscillation Index (SOI). The understanding the dynamics that control the decadal variability in the Pacific Ocean and its interactions with climate change on a global scale. These results can be correlated to behavior characteristics of the atmospheric dynamics and predominance in northeastern Brazil, has importance and affecting activities in Rocket Launch Centre in Alcântara (CLA).
Identification of pesticide-degrading Pseudomonas strains as poly-β-hydroxybutyrate producers

Polyhydroxybutyrate (PHB) is an ecological promising substitute for polypropylene because it is biocompatible, biodegradable and can be produced by renewable sources. This study investigated PHB accumulation on pesticide-degrading Pseudomonas . 14 strains of pesticide-degrading Pseudomonas isolated from subtropical lowland soil in southern Brazil were analyzed using optical microscopy. Lipid inclusions were identified in four strains, and three of them, which degraded the pesticide carbofuran, had extensive granules accumulation which was detected by transmission electron microscopy. These strains were cultivated in a shaker at 28°C and the polymer was characterized by Fourier transform infrared (FTIR) spectroscopy. Strain CMM43 had the best accumulation after 48 h. The biopolymer was identified as poly-β-hydroxybutyrate. Key words: Polyhydroxybutyrate (PHB), pesticide-degrading Pseudomonas sp. , microscopy, subtropical lowland soil.
Heterogeneity of Saving-Investment Causality and Fiscal Coordination Implication: The Case of an African Monetary Union

Monetary unions are characterized by contemporary institutional arrangements that entrust monetary policy to a supranational entity while fiscal policies are framed by rules imposed on the budget deficit. Limits on public deficits are usually justified by the idea that government deficits reduce national savings, which ultimately reduces domestic investment and economic growth. However, this idea that domestic savings must necessarily increase if investment increases cannot be taken for granted. Moreover, it is possible that within the union, countries reveal different saving-investment causality, which is capable of rendering considerable credibility and effectiveness of budgetary rules of government deficits systematic prohibition as a means to revitalize investment. This study raises the question of domestic savings-investment causality in an African monetary union with a focus on the WAEMU zone. It has been determined in each country from a methodology based on co integration vector representations analysis leading to error correction. The existence of a causality heterogeneity between savings-investment in this African monetary union leads to consider a new model of fiscal coordination in Africa incorporating this heterogeneity, including the adoption of a new budget rule more flexible based on a structural balance without public investment.
Constraints on shear velocity in the cratonic upper mantle from Rayleigh wave phase velocity

Seismic models provide constraints on the thermal and chemical properties of the cratonic upper mantle. Depth profiles of shear velocity from global and regional studies contain positive velocity gradients in the uppermost mantle and often lack a low‐velocity zone, features that are difficult to reconcile with the temperature structures inferred from surface heat flow data and mantle‐xenolith thermobarometry. Furthermore, the magnitude and shape of the velocity profiles vary between different studies, impacting the inferences drawn about mantle temperature and composition. In this study, forward modeling is used to identify the suite of one‐dimensional shear‐velocity profiles that are consistent with phase‐velocity observations made for Rayleigh waves traversing Precambrian cratons. Two approaches to the generation of 1‐D models are considered. First, depth profiles of shear velocity are predicted from thermal models of the cratonic upper mantle that correspond to a range of assumed values of mantle potential temperature, surface heat flow, and radiogenic heat production in the lithosphere. Second, shear velocity‐depth profiles are randomly generated. In both cases, Rayleigh wave phase velocity is calculated from the Earth models, and acceptable models are identified on the basis of comparison to observed phase velocity. The results show that it is difficult but not impossible to find acceptable Earth models that contain a low‐velocity zone in the upper mantle and that temperature structures that are consistent with constraints from mantle xenoliths yield phase‐velocity predictions lower than observed. For most acceptable randomly generated Earth models, shear velocity merges with the global average at approximately 300 km.
Integration of Process Simulators in Advanced Process Control Solutions

This paper presents a novel approach to test and to pretune advanced controllers to reduce the onsite work of control engineers and to train operators using advanced control solutions. Following the proposed approach a simulation framework has been developed where detailed process model realized in Matlab which is connected via OPC (Object-Linking and Embedding for Process Control) to the Profit Controller of Honeywell. With the application of the resulted simulation system the model predictive control (MPC) of a nonlinear crystallizer has been analysed. The case study demonstrates the efficiency of the proposed approach and the illustrative results show that the linear and robust MPC is an adequate controller of nonlinear crystallizers.
Human Channel Modeling and Optimization for Intra-body Communication

Author(s): ALQUAYDHEB, IBRAHIM NASSER I | Advisor(s): Eltawil, Ahmed M | Abstract: The desire to have ultra compact, low power, wearable and implanted biosensors/actuators encourages researchers to develop new communication methods that can replace current Radio Frequency (RF) wireless communication links. RF links require power and area hungry analog circuitry that limits the usability of such systems. This thesis conducts a thorough study on a promising technique called intra-body communication which utilizes the human body as a transmission medium, where galvanic coupling and capacitive coupling represent the main approaches to implement the intra-body communication (IBC) system.IBCs literature review is presented showing the main motivation behind this research and the prior trials in the field, as well as highlighting the obstacles facing this technique. A circuit model is adopted to derive a transfer function that can capture the human channel properties to determine the transmission gain. Moreover, finite element method (FEM) technique is utilized to determine the path loss of the human channel, typically the human arm model, and to examine the current density distribution in human tissues using both a full and a reduced order model. In addition, the effect of bone fracture internal fixation implant effect on the channel parameters is investigated. Finally, to validate the FEM and circuit model, a fabricated human arm phantom is introduced in detail by covering the fabrication process, dielectric properties and transmission results.
An Investigation of the Relationship between Unplanned Buying and Post-purchase Regret

The purpose of this study is to investigate the association of unplanned buying with post-purchase regret, moderated by consumer-family income and gender, as well as the association of both sales promotion and bank- card payment with unplanned buying in the Saudi market. Drawing on unplanned buying and post-purchase literature, the study tested a model of post-purchase regret. A survey was conducted among Saudi consumers of retail stores in Riyadh, Saudi Arabia. A convenience sample of 927 respondents was taken for data collection, among them 903 were finalized for analysis. The study concluded that there is a positive relationship between unplanned buying and post-purchase regret. An increased association of unplanned buying with post-purchase regret has been found among low-income earners and male consumers. Furthermore, bank-card payment, but not sales promotion, has a significant association with unplanned buying. Practically, consumers and marketers can benefit from the results and recommendations of this study, both avoiding the bad consequences of post-purchase regret. Self-awareness of the factors that cause regret may turn consumers to be more rational in their future buying decisions. Marketers’ perceptions of those factors may also be helpful in setting marketing strategies towards their target markets; satisfying, and retaining consumers. The original contribution of this study comes from a lack of research in the Middle East on unplanned buying, post-purchase regret and their relationship antecedents.
IN-VITRO AND GREENHOUSE EVALUATION OF PHYTOPATHOGENIC POTENTIAL OF FUNGAL ISOLATES Alternaria tenuissima IN IRAN

Early blight of solanaceae is the most common reported disease in Iran. The disease caused by Alternaria species. Various isolates of Alternaria tenuissima were collected from various locations of the country. The collected Isolates were tested against tomato (Lycopersicon lycopersicum L.) crops in fields of Khansar Esfehan and National Plant Gene Bank of Iran. For determining the pathogenicity, these strains were tested against the genetic samples of Agria (susceptible), Delta (resistant control) and Cosmos. Symptoms were recorded in both in vitro and greenhouse conditions. Under in vitro condition genetic samples of Agria and Cosmos shows the pathogenic symptoms second day while the Delta is showing symptoms fifth day after inoculation. The reported symptoms were necrosis, chlorosis and damping. Under greenhouse evaluation, the symptoms became apparent in the genetic Agria fourth day, while in Cosmos at the eighth day and in Delta fourteenth day after inoculation. Finally, morphology and pathogenicity tests, asserted the isolation of pathogenic A. tenuissima.
Synthesis and Bioevaluation of Novel Imatinib Base Derivatives via 1,1′-Carbonyldiimidazole Catalyst

A series of eleven compounds were synthesized from 6-methyl-N′-(4-(pyridine-3-yl)pyrimidin-2-yl)benzene-1,3-diamine with various substituted carboxylic acid under solvent-free conditions using 1,1′-carbonyldiimidazole (CDI) as a catalyst. The yields of compounds are more than 72%. All the compounds were characterized by physical, spectroscopic, and elemental analysis. Compound 8b exhibited good inhibition towards antimicrobial activity compared to the other compounds.
Analysis of Distributed Generators with Fuzzy logic Controller Based Inverter at un-balanced loads

The design of a fuzzy logic controller using the voltage as feedback for significantly improving the dynamic performance of converter. Renewable energy resources (RES) are being increasingly connected in distribution systems utilizing power electronic converters. This paper presents a new control strategy for achieving maximum benefits from these grid-interfacing inverters using the closed loop P-I controller and fuzzy logic controller, when installed in 3-phase 4-wire distribution systems. The inverter is controlled to perform as a multi-function device by incorporating active power filter functionality. The inverter can thus be utilized as: 1) power converter to inject power generated from RES to the grid, and 2) shunt APF to compensate current unbalance, load current harmonics, load reactive power demand and load neutral current. All of these functions may be accomplished either individually or simultaneously. The THD and power factor variations for both PI-controller and fuzzy logic controller are also shown. This new control concept is demonstrated with extensive MATLAB/Simulink . Finally the proposed scheme is applied for both balanced, unbalanced linear and non linear loads. The proposed concept can be implemented to Fuzzy logic controller by using Matlab/Simulink software.
First record of Scopula orientalis (Alphéraky, 1876) (Lepidoptera, Geometridae) in Romania, at the northern limit of the Balkans

The geometrid mothScopulaorientalis(Alphéraky, 1876) has an apparently disjunct distribution in Europe, with local populations in the Balkans (Macedonia, Bulgaria and Albania where recently discovered), as well as in Ukraine and southern European Russia. In this study, based on morphological and mitochondrial DNA (cytochrome c oxidase subunit 1 – COI) data, we report the presence ofS.orientalisin south-eastern Romania (Dobrogea), at the northernmost limit of the Balkans. The flight time (September) of the recorded specimen, is the latest seasonal record for the Balkans, supporting the presence of at least a partial second generation. The Romanian specimen represented a unique COI haplotype which is differentiated by seven mutations from its genetically closest population in Sivas province, Turkey. The presence ofS.orientalisin Romania reduces the distributional gap between the known Balkan and Ukrainian populations and highlights the potential for a more widespread distribution that needs documentation based on directed studies.
DC AND TERAHERTZ RESPONSE IN Nb SIS MIXERS WITH NbTiN STRIPLINES

It is expected that the integration of NbTiN striplines with Nb-based SIS junctions will extend the range of operation of sensitive SIS mixers up to the energy gap of NbTiN (— 1.2-1.25 THz) to meet the requirements of the HIFI instrument for the Far-Infrared Space Telescope (FIRST). We have fabricated prototype RS waveguide mixers in which Nb/A1-A10,INb SIS junctions are integrated with NbTiN and Al wiring layers. DC current-voltage measurements of these devices show that the voltage gap is somewhat lower and the sub-gap current is somewhat higher for devices with two NbTiN wiring layers in comparison with those in which the top wiring layer is Al (Vgap = 2.7 mV vs. 2.8 mV, and R 2.0/RN — 32 vs. 35). Additionally, the gap voltage of the NbTiN stripline devices is further suppressed by the application of 890-1040 GHz local oscillator power during heterodyne measurements. These effects are attributed to the trapping of heat in the Nb junction electrodes due primarily to quasi-particle trapping at the Nb/NbTiN interface. FTS measurements result in what is believed to be the first reported observation of direct detection response in a NbTiN stripline device above 1.1 'THz. From an analysis of the resonance frequencies of several devices, it appears that the frequency response of the NbTiN striplines is predicted reasonably well by the MattisBardeen theory for the conductivity of a superconductor in the extreme anomalous limit. Furthermore, we present what is believed to be the first reported heterodyne measurements of NbTiN stripline devices in the 0.9-1 THz range. These measurements yield a receiver sensitivity of TN = 830 K at 930 GHz at a bath temperature of 3.3 K, after correction for beamsplitter losses.
A Framework for the Inference of Sensing Measurements Based on Correlation

Sensor networks are commonly adopted to collect a variety of measurements in indoor and outdoor settings. However, collecting such measurements from every node in the network, although providing high accuracy and resolution of the phenomena of interest, may easily cause sensors’ battery depletion. In this article, we show that measurement correlation can be successfully exploited to reduce the amount of data collected in the network without significantly sacrificing the monitoring accuracy. In particular, we propose an online adaptive measurement technique with which a subset of nodes are dynamically chosen as monitors while the measurements of the remaining nodes are estimated using the computed correlations. We propose an estimation framework based on jointly Gaussian distributed random variables, and we formulate an optimization problem to select the monitors under a total cost constraint. We show that the problem is NP-Hard and propose three efficient heuristics. We also develop statistical approaches that automatically switch between learning and estimation phases to take into account the variability occurring in real networks. Simulations carried out on real-world traces show that our approach outperforms previous solutions based on compressed sensing, and it can be successfully applied to the real application of solar irradiance prediction of photovoltaics systems.