Miracle-dz/UniFAR-FTUs huggingface dataset:
PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES Are We Happier With Others? An Investigation of the Links Between Spending Time With Others and Subjective Well-Being

Previous research suggests that having close relationships is a fundamental human need that, when fulfilled, is positively associated with subjective well-being. Recently, however, scholars have argued that actually interacting with one’s closest partners may be psychologically taxing (e.g., because of pressures to provide support, care, and empathy). In the present research, we tested (a) how experiential affect varied as a function of which persons were currently present (e.g., romantic partners, friends, and colleagues), as well as (b) how global well-being varied as a function of total daily time invested in these individuals. Replicating previous research, participants reported the highest levels of experiential wellbeing in the company of their friends, followed by their romantic partners, and then children. Statistically controlling for the activities performed with others, however, suggested that individuals did not necessarily prefer the mere company of their friends per se: people reported similar levels of well-being while in the presence of friends, partners, and children when adjusting estimates for activities. In contrast to the experiential findings, global well-being varied only as a function of total time spent with one’s romantic partner. Our findings further support the claim that experiential and global well-being are often separable constructs that may show different patterns of association with relationship experiences (e.g., well-being may operate differently on withinvs. between-persons levels).
Sonication and vacuum infiltration assisted genetic transformation in bhendi [Abelmoschus esculentus (L.) Moench] using cry2Aa gene for pest resistance

Somaclonal variation and recalcitrance nature were the major bottlenecks of agrobacterium mediated genetic transformation in Bhendi (Abelmoschus esculentus (L.). Therefore, Agrobacterium mediated in planta transformation protocols was standardized using sprouted seed explants of bhendi cv. MDU-1, an important vegetable. agrobacterium tumifaciens-mediated transformation was performed using EHA105 strain harboring the binary vector pBinAR carrying cry2Aa gene under the control of CaMV35s promoter and npt II gene as a selectable marker. The transformation event consisted of sonicating the explants for 3 minutes, vacuum infiltration (750 mm of Hg) for 2 minutes in Agrobacterium (pBinAR-cry2Aa) and cocultivation for 3 days in MS medium with acetosyringone (100μM) showed transformation efficiency of 12.5%. The presence and integration of npt II and cry2Aa transgenes into the bhendi genome was confirmed by polymerase chain reaction (PCR). Work is in progress to grow the T0 seeds for molecular characterization of the inserted transgene using southern and western blot methods.
Nano-indentation Character of Interfacial Transition Zone Between Steel Fiber and Cement Paste

The nanoscale mechanical properties of interfacial transition zone (ITZ) in steel fiber reinforced cementitious composite for different water-cement ratios were investigated. The load-crack depth (P-h) curves of ITZ were determined via nanoindentation test. The distribution of elastic modulus and hardness were calculated and mapped in a 2D plane by the Oliver-Pharr method. The formation mechanism of ITZ was analyzed. In addition, the frequency distribution of different phases in ITZ was determined by a multi-peak fitting deconvolution method. The results indicate that there is a interface width about 40 μm in all the cases. The minimum modulus and hardness occur at a distance of 20 μm from the steel fiber surface. The greater the water-cement ratio, the lower elastic modulus and hardness will be. The content of porosity and low density C-S-H gradually increase, and the density of C-S-H decreases with the increase of water-cement ratio.
Particle Combination Analysis for Predictive Source Attribution: Tracing a Shipment of Contraband Ivory4

Dusts from within a shipment of contraband ivory were analyzed to help determine the original location where the ivory was packed. Key findings were the types of minerals, soil, and vegetation represented in the dust, as determined using a combination of light and electron microscopy, energy dispersive x-ray analysis, infrared microspectroscopy, palynology and non-human DNA analysis. Beginning with a possible origin within the continent of Africa, first-stage analysis of the recovered dusts was able to eliminate environments comprising approximately 91% of the area, including all areas of 36 countries. Of the remaining 12 countries, the analysis was able to eliminate 72% of their area, allowing the investigations to be focused within portions of these countries. Next steps were defined to further reduce the possible origins of the dust based on more detailed regional analyses. INTRODUCTION Fine dust particles, adhering to virtually any object and within virtually any product, are the result of a history of exposure. Routinely, such dusts contain a tremendous variety of particles, including those of mineral, botanical, zoological, microbial, and anthropogenic character. The large number of particles in these dusts, and their variety, provide an extremely rich source of potential information – translating into a powerful inferential tool – when the particles are appropriately analyzed and appropriately 1 Corresponding author: Stoney Forensic, Inc., 14101-G Willard Road, Chantilly, VA 20151. 2 Stoney Forensic, Inc., Chantilly, VA 3 Palynology Laboratory, Texas A&M University, College Station, TX. 4 Portions presented at the INTERPOL, 6th International Conference on Environmental Crime, Lyons, France, October 13-17, 2008 and the Society for Wildlife Forensic Sciences, Inaugural Meeting, Ashland, Oregon, April 19-23, 2010. Work on case-related law enforcement and forensic laboratory analyses has been presented at these conferences and at the NIJ/FBI Trace Evidence Symposium, Clearwater Beach, Florida, August 2–7, 2009 by Ken Goddard, Director of the US National Fish and Wildlife Forensics Laboratory.
Antioxidant capacity and total phenol content of peanut butter fruit (Bunchosia armenica)

Bunchosia armenica being a member of family “Malpighiaceae” is an edible red-coloured fruit and a source of bioactive compounds. In this study, fruit of Bunchosia armenica was analysed to investigate antioxidant properties and total polyphenol content. DPPH assay (IC50 value) and Folin-Ciacalteu method calculated as Gallic acid equivalents (GAE) were carried out. Reducing power of peanut butter fruit extract was checked as a qualitative test to confirm presence of antioxidant substances in peanut butter fruit extract.Total phenol content of flesh of peanut butter fruit was obtained as a mean of 33.27mg Gallic acid equivalents per L of fruit extract. In DPPH radical scavenging assay, the IC50 value in peanut butter fruit variety was obtained as 13.44±0.29mg/ml. In the analysis of reducing power in peanut butter fruit extract, colour changed into green by confirming the presence of antioxidant substances.
Se p 20 20 A time-dependent energy-momentum method

We devise a generalisation of the energy momentum-method for studying the stability of non-autonomous Hamiltonian systems with a Lie group of Hamiltonian symmetries. A generalisation of the relative equilibrium point notion to a nonautonomous realm is provided and studied. Relative equilibrium points of nonautonomous Hamiltonian systems are described via foliated Lie systems, which opens a new field of application of such differential equations. We reduce nonautonomous Hamiltonian systems via the Marsden-Weinstein theorem and we provide conditions ensuring the stability of the projection of relative equilibrium points to the reduced space. As an application, we study the stability of relative equilibrium points for a class of mechanical systems, which covers rigid bodies as a particular instance. MSC 2010: 34A26, 34A05, 34A34 (primary) 70H05, 70H14 (secondary) PACS numbers: 02.30. Hq, 11.10. Ef, 02.40. -k
Characterization of cotton germplasm through morphological characters and PCR based molecular markers

The present study was carried out to determine genetic variability through DNA markers and yield contributing traits as well as seed cotton yield in 26 cotton germplasm viz.,123-CO2-13, 125-CO2-18, 170-CO2-2-126-1, 170-CO2-10-1(H), 134-CO2-C-W-21, 134-CO2-M-21-4(1471), ISC-67-1- 2(450), ISC-67-B-7, BC-68-24, B-P52-M-B-2, AP-17-2-2, H-148-63, SH-1311, 108F, 320F (Ganganagar), UK-53, C-29, TH-49-Indore, 19:94-1-5-3, C-1579, Arkot-2-1, C.M.D.E, EC-138569, C2-3, BC-68xBC-229 and BN-Red. The germplasm 170-CO2-10-1(H) recorded higher seed cotton yield per plant (86.4g), boll weight (4.20g) and plant height (143.3cm). Thus, it shows that plant height and boll weight appeared to be the most important yield contributing characters. Knowledge of genetic diversity and relationships among breeding material at molecular level has significant impact on cotton improvement. The genetic variability and relationships among 26 cotton germplasm were investigated using RAPD, ISSR and SSR markers. Eleven RAPD, 19 ISSR and 17 SSR primers generated a total of 66, 43 and 36 alleles, of which 64, 42 and 30 alleles were found to be polymorphic, resulting in 96.96%, 97.67% and 83.33% polymorphism, respectively. The similarity coefficient based on RAPD, ISSR and SSR markers ranged from 0.36 to 0.92 with an average of 0.43, thus suggesting considerable genetic variation between the cotton germplasm studied. Dendrogram was generated by UPGMA cluster analysis based on Jaccard’s similarity coefficient, grouped 26 germplasm lines into two distinct clusters comprising of cluster A and cluster B. The results obtained suggests that combined molecular markers data are efficient for measuring genetic diversity and relatedness and also aid in selection of diverse outstanding lines to be used in future breeding programs to develop new cotton cultivars.
Numerical Simulation of Water Transport in Unsaturated Recycled Aggregate Concrete

The old mortar attached to recycled aggregate (RA) is the main reason for the difference in water movement between RA concrete (RAC) and natural aggregate concrete. In this study, considering the old and new interfacial transition zones, a five-phase composite model for describing the water transport and distribution in RAC is established at the mesoscale. The key parameters describing water unsaturated transport in two types of mortar, saturated hydraulic conductivity (K s) and van Genuchten model parameters (α, n), are obtained through the constant-head permeability test and isothermal adsorption test. By using the finite element method, the numerical simulations of unsaturated moisture movement in the homogeneous mortar, natural aggregate concrete, and five-phase RAC are systematically carried out. The proposed water transport model in the matrix is validated by comparison with the available experimental findings from the literature. The results show that the model can well predict unsaturated water transport in cement-based materials, including RAC. A parameter sensitivity analysis is undertaken to ascertain the main influencing factors of water transport in RAC. It is concluded that the RA replacement rate (R ra), the thickness of the old mortar (d m), and the aggregate volume fraction (F a) are the primary parameters affecting moisture movement in RAC.
Seasonality in Transition Scale from Balanced to Unbalanced Motions in the World Ocean

The transition scale Lt from balanced geostrophic motions to unbalanced wave motions, including nearinertial flows, internal tides, and inertia–gravity wave continuum, is explored using the output from a global 1/488 horizontal resolution Massachusetts Institute of Technology general circulation model (MITgcm) simulation. Defined as the wavelength with equal balanced and unbalanced motion kinetic energy (KE) spectral density, Lt is detected to be geographically highly inhomogeneous: it falls below 40 km in the western boundary current and Antarctic Circumpolar Current regions, increases to 40–100 km in the interior subtropical and subpolar gyres, and exceeds, in general, 200 km in the tropical oceans. With the exception of the Pacific and Indian sectors of the Southern Ocean, the seasonal KE fluctuations of the surface balanced and unbalanced motions are out of phase because of the occurrence of mixed layer instability in winter and trapping of unbalanced motion KE in shallow mixed layer in summer. The combined effect of these seasonal changes renders Lt to be 20 km during winter in 80% of the Northern Hemisphere oceans between 258 and 458N and all of the Southern Hemisphere oceans south of 258S. The transition scale’s geographical and seasonal changes are highly relevant to the forthcoming SurfaceWater and Ocean Topography (SWOT) mission. To improve the detection of balanced submesoscale signals from SWOT, especially in the tropical oceans, efforts to remove stationary internal tidal signals are called for.
ACCURATE ESTIMATED MODEL OF VOLATILITY CRUDE OIL PRICE

Crude oil price (COP) data are time-series data that are assessed as having both volatility and heteroscedasticity variance. One of the best models that can be applied to address the heteroscedasticity problem is GARCH (generalized autoregressive conditional heteroscedasticity) model. The purpose of this study is to construct the best-fitted model to forecast daily COP as well as to discuss the prepared recommendation for reducing the impact of daily COP movement. Daily COP data are observed for the last decade, i.e., from 2009 to 2018. The finding with the error of less than 0.0001 is AR (1) – GARCH (1,1). The implementation of the model is applicable for both predicting the next 90 days for the COP and its anticipated impact in the future. Because of the increasing prediction, it is recommended that policymakers convert energy use to renewable energy to reduce the cost of oil use.
Extracting contact surfaces from point-cloud data for autonomous placing of rigid objects

Nowadays, thousands of human workers engage daily in non-creative and physically demanding tasks such as order-picking-and-placing. This task consists of collecting different goods from warehouse shelves and placing them in a container to fulfill an order. The robotics research community has put much effort into investigating the automation of the picking problem for robotic manipulators. The placing problem, however, has received comparably less attention. A robot tasked with placing a grasped object has to choose a suitable pose and motion to release the item inside a container, that may be partially filled with other goods. The aim of this thesis is to develop and evaluate a system that automates the placing of objects in a container, whose content is perceived through an RGB-D camera. To accomplish this goal, we develop a perception module that estimates the volume of the objects inside the container and extracts horizontal surfaces as potential supporting regions for the object from RGB-D data. We integrate this module with a state-of-the-art placement planner to compute placement poses for the grasped object, that are stable and reachable by the robot among the perceived obstacles. We evaluate the system by manually reproducing the computed placements in different test scenarios. Our experiments confirm that with the developed pipeline it is possible to automatically compute feasible and stable placements poses for different objects in containers filled with various objects, perceived through an RGBD camera. ii
Simulating Ionospheric Effects on GPS Signals in Space

Teddy M. Surco Espejo, Emanoel Costa, Alison de O. Moraes, Eurico R. de Paula, João Francisco Galera Monico Centro de Estudos de Telecomunicações, Pontifícia Universidade Católica do Rio de Janeiro (CETUC PUC-Rio); Rua Marquês de São Vicente 225; 22451-900 Rio de Janeiro, RJ, Brazil; teddy@cetuc.puc-rio.br (*presenting author), epoc@cetuc.puc-rio.br Instituto de Aeronáutica e Espaço/Instituto Tecnológico de Aeronáutica, Praça Marechal Eduardo Gomes 50; 12228-900 São José dos Campos, SP, Brazil; aom@ita.br Instituto Nacional de Pesquisas Espaciais (INPE), Av. dos Astronautas, 1.758 Jardim da Granja, 12227-010 São José dos Campos, SP, Brazil, eurico.paula@inpe.br Universidade Estadual Paulista Júlio de Mesquita Filho UNESP, R. Roberto Símonsen, 305, 19060-900 Presidente Prudente, SP, Brazil, galera.monico@unesp.br
Optimal control of the Liouville equation

We explore the role of a special class of optimization problems involving controlled Liouville equations. We present some new results on the controllability of the Liouville equation and discuss the optimal control of its moments for some important special cases. The problems treated suggest a new domain of applicability for optimal control, one which can include constraints more appropriate for the synthesis of control systems for a large class of real world systems.
Correlation of plasminogen activator inhibitor-1 gene polymorphism with type 2 diabetic nephropathy in Chinese

Objective To explore the relationship between 4G/5G polymorphism of plasminogen activator inhibitor-1(PAI-1) gene and type 2 diabetic nephropathy(DN) in Chinese Han. Methods Patients with T2DM(n=247) and non-DM controls(n=87) were selected for the study.Those with T2DM were divided into non-DN group(n=80) and DN group(n=167),and the latter were sub-divided into microalbuminuria DN group(n=129)and predominant proteinuria DN group(n=38). The individual genotypes of 4G/5G polymorphism in PAI-1 gene were determined by allele-specific PCR.Genotypic and allelic frequencies and clinical characteristics were compared among groups by chi square test. Results There was no significant difference in genotypic or allelic frequencies between non-DM control and T2DM groups(P0.05). Compared with non-DN T2DM group,frequency of genotype 4G/4G and allele 4G in DN T2DM group was significantly elevated(P0.01,OR=2.4,95%CI=1.3-4.4;P0.05,OR=1.6,95%CI=1.1-2.3). Conclusion 4G/5G polymorphism of PAI-1 gene is well associated with the susceptibility of type 2 diabetic nephropathy,and the 4G/4G homozygote carrier is increased the risk in the development of DN in Chinese subjects with non-DN T2DM.
Factors Influencing Income Inequality in Urban Ethiopia (Cross-sectional Analysis)

This studies focusing on investigating the source of inequality in urban part of Ethiopia. The study are more of descriptive and econometric analysis was employed as general method of analysis by using the raw data collected from central Stastical authority based on the regression decomposition methodology of fields. The empirical result tells that the variables like age, sex, household size, gender and marital status have negative relation with expenditure/income and this variable is the highest contributor for variation in income/expenditure among the urban society in Ethiopia while the remaining variables like age square, value, numbers of household head with primary education, numbers of household head with secondary education, and numbers of household head with tertiary education are positively related with expenditure/income or positively affect expenditure in the household head and this variable is highest contributor for reducing the deviation among the urban society interms of income/expenditure. The employment, the occupation and the race are also having a great contribution for the inequality of income in urban part of our country. The government should employ poor oriented policy in order to curb income inequality especially the government should invest urban infrastructural development (road, private and condominium housing construction) which have a great contribution to reduce inequality among the household head in urban Ethiopia.
A DERIVATIVE-FREE OPTIMIZATION ALGORITHM FOR THE EFFICIENT MINIMIZATION OF TIME-AVERAGED STATISTICS

This paper considers the efficient minimization of the infinite time average of a stationary ergodic process in the space of a handful of design parameters which affect it. Problems of this class, derived from physical or numerical experiments which are sometimes expensive to perform, are ubiquitous in engineering applications. In such problems, any given function evaluation, determined with finite sampling, is associated with a quantifiable amount of uncertainty, which may be reduced via additional sampling. The present paper proposes a new optimization algorithm to adjust the amount of sampling associated with each function evaluation, making function evaluations more accurate (and, thus, more expensive), as required, as convergence is approached. The work builds on our algorithm for Delaunay-based Derivative-free Optimization via Global Surrogates (∆-DOGS, see JOGO DOI: 10.1007/s10898-0150384-2). The new algorithm, dubbed α-DOGS, substantially reduces the overall cost of the optimization process for problems of this important class. Further, under certain well-defined conditions, rigorous proof of convergence to the global minimum of the problem considered is established.
Temporal and Spatial Evolution of the Asian Summer Monsoon in the Seasonal Cycle of Synoptic Fields

The principal mode of the seasonal variation of the Asian summer monsoon (ASM) and the temporal and spatial evolution of the corresponding synoptic fields are investigated via cyclostationary EOF analysis. This study uses the 21-yr (1979–99) Xie–Arkin precipitation pentad data and National Centers for Environmental Prediction daily reanalysis data focusing on the period 21 May to 28 August, which covers the prominent life cycle of the ASM. The first mode, representing the seasonal cycle, explains about 20%–40% of the total variability in the parameters considered in the study. The pronounced feature in the present study is that the seasonal evolution of the sea level pressure anomaly contrast between the Asian continent and the surrounding oceans is the governing mechanism for the ASM evolution. The northward migration of the low pressure anomaly from the Indian Ocean and the moisture transport by a low-level westerly (Somali jet) toward India describes the evolution of the precipitation field over India, the Bay of Bengal, and the Indochina peninsula. Over the Pacific Ocean, a high pressure anomaly to the south of the precipitation band between 258 and 408N pushes it northward, characterizing the onset and evolution of regional monsoons (mei-yu, baiu, and changma) in east Asia. It is shown that the high pressure anomaly intruding into southern China and farther west to the Bay of Bengal from mid-June to mid-July accelerates the low-level wind along the coastal line of Asia, where the pressure gradient becomes maximum. It provides a favorable condition for moisture transport toward the east Asian monsoon region. Two major moisture sources, the Indian Ocean and the western Pacific Ocean, are found during the monsoon period. Evolutions of anomalous moisture transport patterns toward India, the Indochina peninsula, and east Asia show unique characteristics from one another. While precipitation over the Indian region is persistently affected by the Indian Ocean, the Indochina peninsula is dominated by the western Pacific Ocean in the early monsoon period followed by the effect of the Indian Ocean (mid June to mid July) and the cooperation of the two sources afterward. The east Asian monsoon regions are influenced by both sources from the onset of their monsoons. After late July, the latter source affects the east Asian monsoon more due to the northward movement of a high pressure anomaly (late July) together with the development of a low pressure anomaly over the subtropical western Pacific region.