Miracle-dz/UniFAR-FTUs huggingface dataset:
Peculiar Velocities and Large Scale Flows as Probes of Gravity, ΛCDM and the Growth of Structure over Cosmic Time

Peculiar velocities are possibly the most powerful probes of very large-scale mass density fluctuations in the nearby Universe. When coupled with a density field they also can constrain the growth factor of the universe by measuring the proportionality constant between observed velocities and linear theory predicted velocities. In this thesis, I measure a bulk flow of SN within 20,000 km s−1 of 197 ± 56 km s−1 in direction l = 295◦ ± 16◦, b = 11◦ ± 14◦, which is consistent with predictions of ΛCDM for large scale mass density fluctuations. Using the IRAS Point Source Catalog Redshift survey (PSCz) galaxy density field and the SNe peculiar velocities I calculated Ω m σ8,lin to be 0.40 ± 0.07 which is in excellent agreement with the results of WMAP7 [1]: Ω m σ8,lin = 0.39±0.04. By combining my measured value of β with results from other studies, I measure the growth factor γ to be = 0.621 ± 0.08 which is consistent with ΛCDM’s prediction of 0.55. I conclude by exploring some of the systematic errors that could have affected my measurements of β. I find that when β is measured using a reconstruction method the result can be underestimated by between 7 and 15 %.
An Online Mindfulness Intervention for International Students: A Randomized Controlled Feasibility Trial

Background Student mobility across borders poses challenges to health systems at the university and country levels. International students suffer from stress more than their local peers, however, do not seek help or underutilize existing help offers. Some barriers to help-seeking among international students are insufficient information regarding the health offers, stigma, and language, which might be overcome via culturally adapted internet and mobile-based interventions (IMI). Method A randomized controlled feasibility trial with a parallel design assessed the feasibility and potential efficacy of an online mindfulness intervention adapted for international university students. Participants were randomized into either an adapted online mindfulness intervention (StudiCareM-E) (IG, n = 20) or a waitlist control group (WL, n = 20). Participants were assessed at baseline (t0) and eight-week post-randomization (t1). The feasibility of StudiCareM-E was evaluated regarding intervention adherence, client satisfaction, and potential negative effects. The potential efficacy of StudiCareM-E was measured by means of the level of mindfulness, perceived stress, depression, anxiety, presenteeism, and wellbeing. Efficacy outcomes were evaluated with regression models on the intention-to-treat (ITT) sample (n = 40), adjusting for the baseline values. Results Participants’ formative feedback suggested improvements in the content of the IMI. There were no crucial negative effects compared to WL. Assessment dropout was 35% (IG: 50%: WL: 20%), and intervention dropout was 60%. StudiCareM-E yielded significant improvements in mindfulness (β = .34), well-being (β = .37), and anxiety (β = -.42) compared to WL. Conclusion StudiCareM-E might be used among culturally diverse international student populations to improve their well-being. Future studies might carefully inspect the extent of the adaptation needs of their target group and design their interventions accordingly.
A Two-Step Continuous-Control-Set MPC for Modular Multilevel Converters Operating With Variable Output Voltage and Frequency

This article presents a new enhanced single-stage two-step continuous control set model predictive control (CCS-MPC) algorithm, for modular multilevel converters (MMCs) operating with variable output frequency at the ac port. The proposed two-step CCS-MPC allows the implementation of feed-forward compensation of the one-step ahead perturbations at the ac side, using an algorithm based on the Moore–Penrose pseudoinverse matrix. Limitations of the current and voltages in the MMC clusters are implemented to avoid overmodulation and overcurrents, being the solution of the constrained CCS-MPC online solved using the active-set method. Without losing generality, the experimental validation of the single-stage CCS-MPC is performed using an 18-cell MMC prototype, driving a 7.5-kW cage induction machine operating in a wide speed range. A dSPACE MicroLabBox platform is used to control the MMC-based drive by implementing the CCS-MPC algorithm, the modulation stage and the active-set method. It is experimentally demonstrated that the compensation of the low-frequency perturbations allows a considerable reduction in the required circulating currents at the low-frequency operation of the drive. Reduction in the capacitor voltage ripple, improved efficiency, and a smaller total harmonic distortion in the output currents are also achieved with the proposed single-stage two-step CCS-MPC.
Rethinking Authentic Leadership: Insights from a Study of Female Entrepreneurs

The critiques of Authentic Leadership Theory (ALT) require us to reconsider the concept of authenticity in leadership. Through semi-structured interviews with 14 female entrepreneurs in the United Kingdom (UK), this study sought to establish whether the concept of authenticity in leadership has practical applicability for female entrepreneurs. Support was found for the strongest critiques of ALT, and a consensus was identified among the participants that being authentic in leadership is a balancing act between the values of the individual and the values of (and duties to) the organisation and its members. The study also found that, as entrepreneurs, the participants did not experience the challenges of being authentic leaders that extant literature has shown females in other roles to be experiencing. The findings lead to the proposition that the concept of ALT is abandoned and replaced by a more fluid understanding that acknowledges the complexities and subjectivities associated with the notions of ‘leading with authenticity’.
MOLECULAR DOCKING STUDY OF 1‑(PYRIDIN-4-YL)PYRROLIDINE-2-ONE DERIVATE AGAINST PROLYL-tRNA SYNTHETASE IN PLASMODIUM FALCIPARUM

Prolyl-tRNA synthetase is one of the novel targets to develop antimalarial drug candidate. Several class of inhibitors have been identified for the enzyme, one of which is pyridine-pyrrolidinone derivative. It is recently known that 4‐[3‐cyano‐3‐(1‐methylcyclopropyl)‐2‐oxopyrrolidin‐1‐yl]‐N‐{[3‐fluoro‐5‐(1‐methyl‐1H‐pyrazol‐4‐yl)phenyl]methyl}‐6‐methylpyridine‐2‐carboxamide possess potent antimalarial activity, possibly via prolyl-tRNA synthetase inhibition. This compound possesses two enantiomeric form which yielded antimalarial bioactivity in different magnitude. It is argued that this compound occupies ATP binding site. However, 3D structure of ligand-protein complex has yet to be elucidated. This study aimed to predict binding mode and affinity of two enantiomers of 4‐[3‐cyano‐3‐(1‐methylcyclopropyl)‐2‐oxopyrrolidin‐1‐yl]‐N‐{[3‐fluoro‐5‐(1‐methyl‐1H‐pyrazol‐4‐yl)phenyl]methyl}‐6‐methylpyridine‐2‐carboxamide using molecular docking approach with EasyDockVina 2.2. The results showed that S enantiomer possess better ligand affinity (-0.81±3.98) compared to R enantiomer (1.74±2.71). The result was in line with in vitro antimalarial assay, which stated the potency of S enantiomer more than R enantiomer. In addition, it is argued that residue GLN475 and THR478 plays important role in ligand-enzyme interaction. Further studies are needed to verify the result with more robust in silico method and enzymatic bioassay.
Assessment of Genetic Diversity and Genetic Structure of Saussurea medusa (Asteraceae), a “Sky Island” Plant in the Qinghai–Tibet Plateau, Using SRAP Markers

Saussurea medusa Maxim. is a typical “sky island” species and one with the highest altitude distributions among flowering plants. The present study aimed at analyzing the genetic diversity and population structure of 300 S. medusa accessions collected from 20 populations in the Qilian Mountains in the northeastern Qinghai–Tibet Plateau (QTP), using sequence-related amplified polymorphism (SRAP) markers. A total of 14 SRAP primer combinations were employed to analyze genetic diversity and population structure across all accessions. Out of 511 amplified bands, 496 (97.06%) were polymorphic. The populations in the eastern Qilian Mountains had significantly higher genetic diversity than those in the central and western groups. Population structure analysis revealed greater genetic differentiation among populations with a Gst of 0.4926. UPGMA-based clustering classified the 300 S. medusa accessions into 3 major clusters, while the Bayesian STRUCTURE analysis categorized them into 2 groups. Correlation analyses showed that the genetic affinity of the populations was based on differences in geographical distance, moisture conditions, and photothermal conditions between the habitats. This study represents the first comprehensive genetic assessment of S. medusa and provides important genetic baseline data for the conservation of the species.
Entrepreneurial Orientation as support in solving the challenges of Agile Methods adoption: A case study in a Brazilian startup

Study objective: empirically evaluate how the dimensions of Entrepreneurial Orientation (EO) can help solve the challenges of Agile Method adoption (AM). Methodology/approach: single case study in a software startup. Key findings: confirmation of challenges in adopting AM across three dimensions (people, processes, and management and organization) in the studied startup, and identification of which dimensions of EO contribute most to solving these challenges. Relevance/originality: although EO and its dimensions are recognized by the interviewees as potential actions to solve the challenges of AM adoption, they are not encouraged when the team is allocated at the client's site due to cultural influence. This research is relevant as it aims to help understand these challenges and suggest ways to overcome them. Theoretical/methodological contributions: as an academic contribution, this study advances research on the adoption of AM and EO, as well as the relationship between these topics. Social/management contributions: understanding the inherent challenges in adopting and using AM and promoting actions that can assist in solving these challenges through the utilization of EO concepts.
Critical coupling strength of the Cucker–Smale model for flocking

We present a non-trivial positive lower bound for the critical coupling strength of the Cucker–Smale model with a short-range communication weight from the viewpoint of mono-cluster (global) flocking. For a long-range communication weight, it is well known [F. Cucker and S. Smale, Emergent behavior in flocks, IEEE Trans. Automat. Control 52 (2007) 852–862; S. -Y. Ha and J.-G. Liu, A proof of Cucker–Smale flocking dynamics and mean field limit, Commun. Math. Sci. 7 (2009) 297–325] that as long as the coupling strength is positive, mono-cluster flocking occurs asymptotically for any initial configuration. Hence, the critical coupling strength is simply zero. However, for a short-range communication weight, numerical simulations indicate that for a given initial configuration, mono-cluster flocking is possible only in a large-coupling-strength regime depending on the initial configuration. This suggests the positivity of the critical coupling strength in the sense that if the coupling strength is above the cr.
Efficient computations for multiphase flow problems using coupled lattice Boltzmann-level set methods

Multiphase flow simulations benefit a variety of applications in science and engineering as for example in the dynamics of bubble swarms in heat exchangers and chemical reactors or in the prediction of the effects of droplet or bubble impacts in the design of turbomachinery systems. Despite all the progress in the modern computational fluid dynamics (CFD), such simulations still present formidable challenges both from numerical and computational cost point of view. Emerging as a powerful numerical technique in recent years, the lattice Boltzmann method (LBM) exhibits unique numerical and computational features in specific problems for its ability to detect small scale transport phenomena, including those of interparticle forces in multiphase and multicomponent flows, as well as its inherent advantage to deliver favourable computational efficiencies on parallel processors. In this thesis two classes of LB methods for multiphase flow simulations are developed which are coupled with the level set (LS) interface capturing technique. Both techniques are demonstrated to provide high resolution realizations of the interface at large density and viscosity differences within relatively low computational demand and regularity restrictions compared to the conventional phase-field LB models. The first model represents a sharp interface one-fluid formulation, where the LB equation is assigned to solve for a single virtual fluid and the interface is captured through convection of an initially signed distance level set function governed by the level set equation (LSE). The second scheme proposes a diffuse pressure evolution description of the LBE, solving for velocity and dynamic pressure only. In contrast to the common kineticbased solutions of the Cahn-Hilliard equations, the density is then solved via a mass conserving LS equation which benefits from a fast monolithic reinitialization. Rigorous comparisons against established numerical solutions of multiphase NS equations for rising bubble problems are carried out in two and three dimensions, which further provide an unprecedented basis to evaluate the effect of different numerical and implementation aspects of the schemes on the overall performance and accuracy. The simulations are eventually applied to other physically interesting multiphase problems, featuring the flexibility and stability of the scheme under high Re numbers and very large deformations. On the computational side, an efficient implementation of the proposed schemes is presented in particular for manycore general purpose graphical processing units (GPGPU). Various segments of the solution algorithm are then evaluated with respect to their corresponding computational workload and efficient implementation outlines are addressed.
Zero-delay source-channel coding

In this thesis, we investigate the zero-delay transmission of source samples over three di↵erent types of communication channel models. First, we consider the zero-delay transmission of a Gaussian source sample over an additive white Gaussian noise (AWGN) channel in the presence of an additive white Gaussian (AWG) interference, which is fully known by the transmitter. We propose three parameterized linear and non-linear transmission schemes for this scenario, and compare the corresponding mean square error (MSE) performances with that of a numerically optimized encoder, obtained using the necessary optimality conditions. Next, we consider the zero-delay transmission of a Gaussian source sample over an AWGN channel with a one-bit analog-to-digital (ADC) front end. We study this problem under two di↵erent performance criteria, namely the MSE distortion and the distortion outage probability (DOP), and obtain the optimal encoder and the decoder for both criteria. As generalizations of this scenario, we consider the performance with a K-level ADC front end as well as with multiple one-bit ADC front ends. We derive necessary conditions for the optimal encoder and decoder, which are then used to obtain numerically optimized encoder and decoder mappings. Finally, we consider the transmission of a Gaussian source sample over an AWGN channel with a one-bit ADC front end in the presence of correlated side information at the receiver. Again, we derive the necessary optimality conditions, and using these conditions obtain numerically optimized encoder and decoder mappings. We also consider the scenario in which the side information is available also at the encoder, and obtain the optimal encoder and decoder mappings. The performance of the latter scenario serves as a lower bound on the performance of the case in which the side information is available only at the decoder.
Heat-Flux Measurements for a Realistic Cooling Hole Pattern and Different Flow Conditions

For many years turbine designers have utilized advancements in film-cooling technology to allow for increased high-pressure turbine inlet temperature. Prediction tools, used to predict the cooling effectiveness of the representative cooling-hole and cooling-hole pattern designs have been successful in keeping the engines on wing for a large number of operational hours, but there is room for and a desire for improvement in the technology. Therefore, a study was undertaken at the OSU GTL to find a way to obtain basic data needed to help improve CFD prediction capability. The particular facility utilized for this work is a medium-duration blowdown facility to which significant improvements in the operational procedure of the cooling system have been made for the purposes of this work and both the facility and the improvements will be described in detail in this thesis. In order to keep the CFD validation simple, a flat plate configuration with a realistic cooling hole pattern, representative of a high-pressure turbine blade for which measurements obtained as part of a full-stage experiment were obtained, was utilized along with flow properties of current interest to the industry. The measurements reported in this thesis yielded high response heat-flux measurements along the axial direction of the plate, including locations between the individual rows of cooling holes. The influence of Reynolds numbers on heat transfer to the plate was also explored. Lastly, the temperature of the main flow and the test section walls were varied to determine the effect of cooling on the local adiabatic wall temperature.
The homogeneity of two sets of European economies

It is generally accepted that an economy may be represented by a set of economic parameters. The normalised versions of these parameters are here assumed as coordinates in a Cartesian space. The homogeneity of a set of economies is then defined as the inverse of the sum of the distances of each economy from the others of the set (M. Caputo, Meccanica, 2014). The approach is applied to 2 sets of economies of the EU countries: 5 Western supposedly with evolved economies and 5 Eastern supposedly aiming to a better economic condition and using sets of 12 and 14 parameters respectively. It is found that, in the period 2000-2010, the homogeneity of both sets oscillates in time and that it does not seem that the 2 sets evolve to a common homogeneity. This is confirmed by the same type of analysis applied to the set of the 5 Western EU economies using 29 economic parameters of the year 2012 (M. Caputo, Meccanica, 2014) finding that the homogeneity of this set keeps oscillating.
Frugal innovation in the expansion of a multinational subsidiary in an emerging market

Abstract Frugal innovation consists of creating solutions based on the parsimonious use of resources with essential quality, design, and functionality, offered to customers with lower purchasing power. This study aims to analyze how a frugal innovation evolves in a multinational company during its expansion into a new market at the base of the pyramid (BoP). The adopted research strategy is a case study of a multinational subsidiary whose unit of analysis is the development of a frugal product from its inception to its presence in the market. A theoretical model that identifies the antecedents, processes, and results of frugal innovation supports data analysis. This study thus contributes establishing propositions that give specificity to the model with regard to the expansion of multinationals in an emerging market. The results reveal that strategy and brand consolidation precede the development of a frugal product, which is followed by systematic analysis of market characteristics, consumer behavior, and local competition. Additionally noteworthy are the horizontal integration and dynamic interaction of marketing and production; the adoption of a design that integrates basic functionalities, qualities, aesthetic attributes; and the minimal use of resources, the elimination of nonessential functionalities, the adoption of modularity as a production strategy, and the mastery of skills in production and learning strategies. Finally, the findings indicate the relevant combination and dynamization of organizational capabilities and their influence in reversing the technology transfer orientation between headquarters, as well as the consequences of frugal innovation.
Representations and Characters of Groups

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