Miracle-dz/UniFAR-FTUs huggingface dataset:
Love and work: An attachment-theoretical perspective.

The possibility that love and work in adulthood are functionally similar to attachment and exploration in infancy and early childhood was investigated. Key components of attachment theory—developed by Bowlby, A insworth, and others to explain the role of attachment in exploratory behavior —were translated into terms appropriate to adult love and work. The translation centered on the 3 major types of infant attachment and exploration identified by Ainsworth: secure, anxious/ambivalent, and avoidant. Two questionnaire studies indicated that relations between adult attachment type and work orientation are similar to attachment/exploration dynamics in infancy and early childhood, suggesting that the dynamics may be similar across the life span. Implications for research on the link between love and work are discussed, as are measurement problems and other issues related to future tests of an attachment-theoretical approach to the study of adults.
Middle Level Mathematics Teachers' Self-Efficacy Growth through Professional Development: Differences Based on Mathematical Background.

Profile analyses were used to investigate differences in the selfefficacy growth of teachers with more and less mathematics background as the teachers participated in professional development across two summers. Professional development activities were associated with increases in teachers' self-efficacy; however, without considering mathematics knowledge for teaching, teachers with more math background tended to benefit more than those with less background. Nonetheless, teachers with less math background had higher levels of teacher self-efficacy although this gap was closed by the last measurement. Such considerations are important when designing professional development as teachers may have different needs based on specific characteristics such as preparation in their teaching domain.
Hydrometeorological Short-Range Ensemble Forecasts in Complex Terrain. Part I: Meteorological Evaluation

Abstract This paper addresses the question of whether it is better to include lower-resolution members of a nested suite of numerical precipitation forecasts to increase ensemble size, or to utilize high-resolution members only to maximize forecast details in regions of complex terrain. A short-range ensemble forecast (SREF) system is formed from three models running in nested configurations at 108-, 36-, 12-, and 4-km horizontal grid spacings. The forecasts are sampled at 27 precipitation-gauge locations, representing 15 pluvial watersheds in southwestern British Columbia, Canada. This is a region of complex topography characterized by high mountains, glaciers, fjords, and land–ocean boundaries. Matching forecast–observation pairs are analyzed for two consecutive wet seasons: October 2003–March 2004 and October 2004–March 2005. The northwest coast of North America is typically subject to intense landfalling Pacific cyclones and frontal systems during these months. Using forecast analysis tools that are w.
Argon as a Tracer of Cross-Isopycnal Mixing in the Thermocline

Abstract Noble gases such as argon are unaffected by chemical reactions in the ocean interior, but a number of physical mechanisms can lead to measurable sea level atmospheric disequilibrium in subsurface waters of the ocean. One such mechanism is the mixing of waters of different temperatures, which can lead to supersaturation in the ocean interior. The authors simulate the supersaturation mixing signature in the thermocline in a global ocean general circulation model, Parallel Ocean Program model, version 1.4 (POP 1.4). In contrast to existing mixing diagnostics such as dye tracers or microstructure measurements, which yield the local, recent rate of diabatic mixing, argon disequilibrium traces an integrated lifetime history of subsurface mixing. A theoretical model of the subtropical Atlantic Ocean gyre is built, based on the competing time scales of horizontal and vertical mixing, that agrees well with the full general circulation model argon supersaturation gradient in the thermocline. These results .
Flux-Normalized Elastodynamic Wavefield Decomposition Using Only Particle Velocity Recordings

We present a new approach to apply wavefield decomposition, illustrated for an energy flux-normalized elastodynamic case. We start by considering a situation where two horizontal boreholes are closely separated from each other. By recording only the particle velocities at both depth levels (for example with conventional 3-component geophones) and expressing the one-way wavefields at one depth level in terms of the fields at the other depth level, an inverse problem can be formulated and solved. This new approach of multi-depth level(MDL) wavefield decomposition is illustrated with a synthetic 2D finite difference example, showing correct one-way wavefield retrieval. We then modify the methodology for a special case with a single receiver array just below a free surface, where the problem is naturally constrained by the (Dirichlet) boundary condition at the free-surface. Again, it is shown that correct elastodynamic wavefield decomposition takes place, for both P- and S-waves.
EXAMINATION OF THE PEN-BALL WRITING USING LA-ICP-TOF-MS AND SEM TECHNIQUES AND A CHEMOMETRIC APPROACH

Currently, more and more frequently laser ablation inductively coupled plasma mass spectrometry is being used in order to improve the discriminating power of various forensic examinations. In this type of study, estimation of the degree of randomness of the measurement results is of a great importance. one of the factors which may affect the randomness is the degree of homogeneity/heterogeneity of the tested material. The main purpose of this study was to answer the following questions: can different brands of inks be distinguished on the basis of la-ICP-Ms (laser ablation-Inductively Coupled Plasma-Mass spectrometry) measurements of writing made on different kinds of paper, are the inks homogenously spread along the drawn lines of writing and does the type of paper have an impact on the possibility of discrimination between inks and the degree of homogeneity of writing. In solving the above questions, an original chemometric approach was used and completed with Da (Discriminant analysis) and PCa (Principal Component analysis). The obtained results made it possible to discriminate between brands within each color of inks as well as to detect inhomogeneity of the amount of ink left along the written lines. The approach presented may be successfully applied in the examination of other kinds of samples.
Real-time deterministic power flow control through dispatch of distributed energy resources

Integration of intermittent renewable resources and mass electrification of heat and transport into the existing electricity network, with limited network asset reinforcement requires incorporation of intelligence in form of active management of flexible resources within different sections of the distribution network. A hierarchical multi-level control framework is proposed for this purpose which incorporates the appropriate optimisation and control strategies at different levels. In particular a novel deterministic control algorithm for controlling power flows at the community cell level has been developed and presented in this paper. This algorithm incorporates robustness to communication and device failure and is easily expandable to an arbitrary number of devices. The simulation results presented in this paper show that the effectiveness of the proposed control technique depends on distributed energy resources flexibility and storage capacity.
Predictors of Attrition: Attitudes, Behaviors, and Educational Characteristics

Abstract : An applicant's education credential repeatedly has been shown to be a strong predictor of the likelihood of completing the first term of obligation. Because of the expense of replacing those who do not complete their obligations, the Services view attrition as an outcome of primary interest. In this research, we use information from a large, Service-wide survey of new recruits to explore how a number of noncognitive factors affect attrition. Our sample includes those who hold traditional high school diplomas, those who hold a number of alternate credentials, and those who join the Services with no credential ("dropouts"). We find ample evidence that noncognitive factors influence attrition rates. Moreover, in some cases, noncognitive factors have different effects on the attrition of high school diploma graduates and other recruits. For example, those who enlist at age 17 have higher attrition rates than those who enlist at age 18, regardless of education credential. While there is little difference in attrition rates between traditional diploma graduates who enlist at 18 and those who are older at enlistment, recruits with other credentials who enlist at age 20 or more have relatively low attrition rates. Other noncognitive factors that influence attrition include smoking behavior before enlistment and attitude toward completing high school. All recruits who considered leaving high school attrite at higher rates than otherwise similar recruits, even in cases where the recruits did in fact complete high school. In other words, those who considered leaving school but actually stayed and earned degrees still have substantially higher attrition rates than other traditional diploma graduates.
Optimum Design of BiLayer Perforated Electromagnetic Shield Using Improved Particle Swarm Optimization Algorithm

The disturbance of the sensitive measurement and the control equipment by Electromagnetic field is a central problem in electromagnetic compatibility, removal or reduction of such a disturbance is achieved by Electromagnetic Shielding sheets. Electromagnetic shields play a very significant role in the modern power and electrical industry. Efficient shields are also used in medicine, physics, and when making high-sensitivity electric and magnetic measurements to shield them from electromagnetic interference. In this paper an optimization method based on improved Particle Swarm Optimization (IPSO) algorithm for design of Bi layer perforated Electromagnetic Shield has been proposed. This can be used in any shape or form. The method of particle swarm optimization is used to determine the optimum Effective mass (mass/sqare cm) of the bilayer perforated electromagnetic shield that provides Shielding effectiveness which is very much acceptable as compare to standard value for the same.The simulation results for shielding effectiveness (SE) of the Bi layer Electromagnetic shield obtained by our proposed method has been compared with the desired value to illustrate the effectiveness of our proposed method.
NEW APPROACH FOR FIRING OPTIMISATION IN CRYSTALLINE SILICON CELL TECHNOLOGY

A new approach for firing optimization is introduced and demonstrated on 10 different pastes. The approach uses fewer settings and is faster than the methods traditionally used. Therefore the approach will make evaluation of new pastes and processes easier. The method uses a cross belt temperature profile to subject a cell with screen-printed paste to different temperatures while firing in the infrared furnace. J-V data, spatially resolved wafer peak temperatures and spatially resolved contact resistances using the Corescan, are used to determine settings for final optimization. Optimal settings for the ten evaluated pastes were obtained in only two steps and using few cells. With only three cells, a scan over a temperature range of about 180°C could be performed. In this way also the firing window could be assessed. The method is applicable both in industry and R&D.
(When) Is Hiring Strategic? Human Capital Management as a Design Decision in Organizations

This paper examines when and under what conditions whom to hire is a strategic decision. We identify four mechanisms involved in hiring that add to the â€œstrategicnessâ€ of human capital decisions. We posit that, to the degree that human capital outcomes are influenced by these mechanisms, hiring cannot be effectively delegated or treated independently from a firmâ€™s other strategic decisions, nor will a â€œbest athleteâ€ approach to hiring lead to optimal results. We outline the shifts in scholarly attention required for scholars to conceptualize hiring as a strategic process, and we argue that this conceptualization is critical given the increasing use of data science tools by industry to support and automate hiring decisions. By delving into the mechanisms and conditions that make hiring strategic, we contribute to a broader understanding of how and why firms acquire human capital and highlight gaps and opportunities for future research.
A Hadoop Open Source Backup Software Solution

Backup is a traditional and critical business service with increasing challenges, such as the snowballing of constantly increasing data. Distributed data-intensive applications, such as Hadoop, can give a false impression that they do not need backup data replicas, but most researchers agree this is still necessary for the majority of its components. A brief survey reveals several disasters that can cause data loss in Hadoop HDFS clusters, and previous studies propose having an entire second Hadoop cluster to host a backup replica. However, this method is much more expensive than using traditional backup software and media, such a tape library, a Network Attached Storage (NAS) or even a Cloud Object Storage. To address these problems, this paper introduces a cheaper and faster Hadoop backup and restore solution. It compares the traditional redundant cluster replica technique with an alternative one that consists of using Hadoop client commands to create multiple streams of data from HDFS files to Bacula – the most popular open source backup software and that can receive information from named pipes (FIFO). The new mechanism is roughly 51% faster and consumed 75% less backup storage when compared with the previous solutions.
Multitechnique Fusion of Imaging Data for Heterogeneous Materials

Complete characterization of a complex multicomponent heterogeneous material requires information not only on the surface or bulk chemical components, but also on stereometric features such as size, distance, and heterogeneity in three-dimensional space. Probing vertical structures is equally important for nanocomposite materials with surface segregation, overlayers, concentration gradients or multiple layers. Such complexity of heterogeneous materials makes it difficult to uniquely distinguish between alternative morphologies using a single analytical method and routine data acquisition and analysis. The combination of sputtering capabilities and high lateral resolution in images led to the wide spread use of three-dimensional imaging studies using Time-of-flight Secondary Ion Mass Spectrometry (TOF-SIMS). (Wucher et al., 2007; Delcorte, 2008; Jones et al., 2008; Rafati et al., 2008) Main drawback of this approach is limited quantitative information. X-ray Photoelectron Spectroscopy (XPS) has benefits of being quantitative and offers very similar capabilities in combining ion sputtering and imaging, and there have been a handful number of studies using this approach. (Gao et al., 2003; Artyushkova, 2010) Disadvantage of combining sputtering and imaging is its destructive nature and possibility of induced modification that may introduce artifacts within images. XPS has the advantage of being one of the only surface analysis techniques that provides readily interpretable, surface-specific, chemical information, which is a core analytical method of choice in obtaining surface chemical composition. (Briggs & Grant, 2003) The development of commercial imaging XPS instrumentation has occurred in parallel with imaging developments in other spectroscopic techniques. Improved spatial resolution and decreased analysis time make it possible to correlate XPS analysis with a host of other imaging techniques which have comparable fields of view, but different information content from different depth levels. There is now some field of view (FOV) overlap between XPS and a variety of techniques, including Atomic Force Microscopy (AFM), imaging FTIR, confocal microscopy (CM), SIMS and Secondary Electron Microscopy (SEM). The overlapping FOVs for the techniques listed in Table 1 make correlative data analyses and a fusion of multiple analytical perspectives achievable and valuable for obtaining quantitative structural information in three dimensions. Imaging using confocal microscopy provides three-dimensional, high-resolution, non-destructive imaging of sample features. (Fellers & Davidso; Pawley, 2006) Scanning
EARNINGS PERCEPTION MANAGEMENT IN CHINESE IPOS

We examine the impact of ownership structure on two distinct investor perception management processes: earnings management and explanatory impression management with regard to earningsrelated outcomes. Using detailed content analysis of earnings explanations in the MDA (Management Discussion and Analysis) section of 104 recent Chinese IPOs, we find that firms exhibit intense assertive verbal behavior in framing positive earnings outcomes. Ownership structure marginally affects both the amount of assertive causal tactics used and the assertive bias in the causal disclosures. However, the effect of ownership structure is more evident for earnings management propensity Earnings management propensity is significantly affected by the nature of the controlling shareholder. This effect is intensified by the size of shareholdings of the controlling shareholder.
Martin, Anne and Booth, Josephine N. and Young, David and Revie, Matthew and Boyter, Anne C. and Johnston, Blair and Tomporowski, Phillip D. and Reilly, John J. (2015) Associations between obesity and cognition

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Low Power High Speed Multiplier Design based on MTCMOS Technique Amrita

The need for devices that consume minimum amount of power was a major driving force behind the development of CMOS technologies. Reduction of power consumption makes a device more reliable. As a result, CMOS devices are best known for low power consumption. Most research on the power consumption of circuits has been focused on the switching power and the power dissipated by the leakage current has been comparatively minor area. Today, every designer either analog circuit or a digital circuit designer is concerned about the amount of power consumption in the circuit at the end. Multi-threshold CMOS is becoming a trendy circuit design technique for low power, high performance application. The paper briefs the implementation of a novel CMOS 8 bit Vedic Multiplier using MTCMOS. General Terms PTL (pass transistor logic), Low power, Multiplier.
The Effect of Offer‐of‐Settlement Rules on the Terms of Settlement

Under an “offer‐of‐settlement” rule, a party to a lawsuit may make a special offer to settle with the other party, such that if the other party rejects this offer, then this offer becomes part of the record in the case and may affect the allocation of litigation costs. Specifically, if the parties litigate to judgment, then the allocation of litigation costs may depend on how the judgment compares with the special offer. This paper develops a model of bargaining under offer‐of‐settlement rules that can be used to analyze the effect that such rules have on the terms of settlement. The analysis first sets forth a general principle that identifies the settlement amount under any such rule. We then apply this principle to derive the settlement terms under the most important of these rules, and we identify a large set of seemingly different rules that produce identical settlements.
Keeping it to Ourselves: Effects of Audience Size and Composition on Reactions to Criticisms of the Ingroup

Criticism is an important aspect of communication within and between groups, but reactions to criticism of groups have been little studied. Past research has shown that criticism elicits greater sensitivity when made by an outgroup member, compared to an ingroup member. Two experiments were conducted to examine how this intergroup sensitivity effect (ISE) is affected by the context of the criticism. Experiment 1 showed that the ISE occurs in a private context, but disappears when it is clear that the criticism is made to a large public audience. Experiment 2 investigated intragroup criticism and manipulated both audience size and audience composition. Results showed that ingroup criticism elicited greater sensitivity and less favorable evaluations of the speaker when made to an outgroup rather than an ingroup audience. The results highlight strategic considerations and tacit protocols governing the criticism of groups.
AWARD NUMBER: W81XWH-13-1-0005 TITLE: Multimodal Approach to Testing the Acute Effects of Mild Traumatic Brain Injury (mTBI) PRINCIPAL INVESTIGATOR:

In this study, we compared the brain activation profiles obtained from resting state Electroencephalographic (EEG) and Magnetoencephalographic (MEG) activity in six mild traumatic brain injury (mTBI) patients and five orthopedic controls, using power spectral density (PSD) analysis. We first estimated intracranial dipolar EEG/MEG sources on a dense grid on the cortical surface and then projected these sources on a standardized atlas with 68 regions of interest (ROIs). Averaging the PSD values of all sources in each ROI across all control subjects resulted in a normative database that was used to convert the PSD values of mTBI patients into z-scores in eight distinct frequency bands. We found that mTBI patients exhibited statistically significant overactivation in the delta, theta, and low alpha bands. Additionally, the MEG modality seemed to better characterize the group of individual subjects. These findings suggest that resting-state EEG/MEG activation maps may be used as specific biomarkers that can help with the diagnosis of and assess the efficacy of intervention in mTBI patients.
Radiative power of wildfires in Siberia on the basis of TERRA/Modis imagery processing

Abstract Variety of radiation power of wildfire was investigated by processing TERRA/Modis imagery in 4 μm spectral band. Fire radiative power (FRP) was used for calibrating high-temperature event database obtained by the satellite technique. An analysis was performed on the database of Siberian wildfires for 2010- 2012. Dynamics of FRP was investigated for a number of wildfires including some cases of crown fire. FRP variation was evaluated for various forest zones of Siberia. Classification of wildfires was elaborated in terms of FRP value as a GIS-layer over the territory of Siberia.
Classification of Brain Tumors Using Deep Features Extracted Using CNN

Deep learning play a major role in medical automation, Convolutional Neural Networks (CNN) is an important machine learning technique for medical image segmentation and classification. In this work, we propose a novel approach that uses CNN_S for classifying brain tumors in to normal and three different types. The tumor is initially segmented from the MRI images using an enhanced ICA mixture mode model. From the segmented image deep features are extracted and classified. The results have been validated by measuring the performance of classifier on a data set available with Harvard Medical School.