Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovation and Economic Growth: The Contribution of Institutional Quality and Foreign Direct Investment

Innovation is considered essential to improving competitiveness and efficiency, thereby promoting economic growth in both theory and practice. This study analyzes the impacts of innovation, measured by the number of researchers, and the number of patents and trademarks, on economic growth. The results represent issues for consideration by policymakers dealing with sustainable economic growth. Besides the literature review, an empirical analysis was undertaken using the two-step system Generalized Method of Moments (GMM). Research data was collected through the World Bank? s database, with participants from 69 developed and developing countries between 2006 and 2014. Empirical results show that innovation, together with national openness, foreign direct investment inflows, and government expenditure on education, have directly and positively influenced economic growth. In addition, the study found a positive intermediate role for institutional quality and the spillover effect of foreign direct investment in promoting the relationship between innovation and economic growth. This study suggests that policymakers should focus on improving research and development activities, strengthening economic integration, attracting foreign direct investment, and extensively reforming the institutional environment to facilitate economic development.
Modeling, Analysis, and Beam-steering of a Tunable Piezoelectric Phased-array Structure for Transverse Shear Wave Generation

An analytical investigation of the transverse shear wave mode tuning in a host plate with a resonator mass (packing mass) on a Lead Zirconium Titanate (PZT) crystal bonded together with the host and its equivalent electric circuit parameters are presented. The novelty of the approach reported is the tuning of a single wave mode in the thickness direction using a resonator mass. Energy transfer from the PZT actuator to the structure for this type of modes are much higher and localized in this new design. The analysis reported in this paper allows one to choose the optimal frequency band for excitation. First, a one-dimensional constitutive model assuming the strain induced only in the thickness direction is considered. For a voltage applied to the PZT crystal in the thickness direction, the transverse normal stress distribution induced into the host plate is assumed to have parabolic distribution, which is a function of the geometry of the PZT crystal, packing mass, substrate and the penetration depth of the generated wave. For the PZT crystal, the harmonic wave guide solution is assumed for the mechanical displacement and electric fields, while for the packing mass, mechanical displacement is assumed, and is solved using the boundary conditions. The analytical solutions for the electromechanical characteristics such as stress transfer, mechanical impedance, electrical displacement, velocity and electric field are presented on the basis of varying the thickness of the PZT crystal and the packing mass. The comparative performances of PZT-5A and PZT-4 are also reported in terms of mechanical impedance are analyzed. Based on this modeling, one can choose the appropriate frequency bands, for the sensor/actuator applications. The behavior of the PZT structure is linear when the packing mass is attached onto the PZT crystal. Most importantly, tuning is accomplished without changing the PZT iii
Who will save the world? A cross-cultural study of how our social and physical environments shape climate change perspectives and behavior

In the face of increasing climate change threats, the way humans decide to respond is key in mitigating and adapting to this environmental shift. By better understanding which factors encourage or discourage individuals in taking pro-environmental behaviors, we can make systematic changes to maximize our reach in ensuring a future generation of mobilized global citizens who are motivated to limit the impacts of climate change. This study seeks to extrapolate life course factors which affect a person’s self-efficacy and desire to engage in environmentally responsible behaviors to mitigate climate change. There is a long history of research in environmental psychology that aims to identify factors that motivate individuals to take on pro-environmental behaviors. Our work relies on this canon, specifically on the Modified Theory of Planned Behavior (Kaiser, Wolfing, & Fuhrer, 1999). We conducted 32 semi-structured interviews with individuals from different backgrounds between the ages of 18-40 years old, as this is the generation we believed to make the biggest impact in the near future in terms of climate change mitigation and adaptation. We found four prominent factors to have the greatest effect on people’s pro-environmental behaviors: education, cultural norms, socio-economic status, and cross-cultural experiences. However, none of these factors exist in a vacuum, but rather they oftentimes influence each other. The results of this study are presented in a short documentary film which aims to employ the power of personal narratives to encourage reflection and mobilization of young people to become environmentally responsible citizens.
Dynamic Information Flow Tracking Games for Simultaneous Detection of Multiple Attackers

Dynamic Information Flow Tracking (DIFT) has been proposed to detect and prevent various cyber attacks in computer systems. DIFT tracks suspicious information flows in the system and generates security analysis when anomalous behavior is detected. A system threatened by attackers of different capabilities demands simultaneous analysis of multiple flows. As the number of information flows in a system is typically large and the amount of resource required for analyzing different flows varies, an optimal allocation of the limited resources available to DIFT is essential. We address the problem of detecting multiple attackers using resource constrained DIFT and develop a model that captures the interaction of adversaries and a DIFT-based defender as a multi-player dynamic game. Our model consists of a multi-stage game, in which each stage represents the subset of processes in the system that correspond to the locations of the information flows, and captures the notion of benign flows. Given the attackers' strategies, we prove that finding an optimal defense strategy is equivalent to maximizing an increasing DR-submodular function that enables us to propose an approximation algorithm. Further, given a defense strategy and strategies of other attackers, we show that finding an optimal attacker strategy is equivalent to solving a shortest path problem, where the edge weights are derived from the strategies of the other players. Based on this mapping we propose a polynomial-time algorithm for computing an optimal attacker strategy. Finally, we evaluate the performance of our algorithm on a real-world dataset of a nation state attack obtained using the Refinable Attack INvestigation (RAIN) framework.
Mössbauer effect studies of Dy ( Fe 0 . 4 − xNixCo 0 . 6 ) 2 compounds

Magnetic properties and hyperfine interactions of the rare earth-transition metal compounds are mainly governed by the 3d electrons of the transition metal sublattice [2, 4, 5]. The number of 3d electrons can be changed by the (transition metal/another transition metal) substitution. In the compound Dy(Fe0.4Co0.6)2, the majority 3d subband is completed and the minority 3d subband is filled up only partially. The transition metal sublattice behaves approximately like a strong ferromagnet [1]. In the present paper, the consequence of the Fe/Ni substitution, in the Dy(Fe0.4Co0.6)2 compound was studied. For this purpose, the synthesis, X-ray analysis and Fe Mössbauer effect measurements were performed. The obtained results are qualitatively related to the Stoner model [7].
Determination of Optimum Tryptophan Requirement of Broiler Chickens Reared in the Cool Season under Tropical Environment

A study was conducted in a completely randomized design to determine the response of broiler chickens fed graded dietary levels of tryptophan. A total of two hundred and eighty five mixed sex day old broilers (Arbor Acre) were used in this experiment. Daily temperature ranged from 14C 20C during the period of the study. Five broiler starter diets were formulated such that diet 1 (basal diet) had dietary tryptophan content of 0.15%; diets 2 to 5 contained graded levels of supplemental tryptophan at 0.04% intervals giving total dietary tryptophan levels of 0.19, 0.23, 0.27 and 0.31 percent levels respectively while for the finisher, diet 1 (basal diet) had dietary tryptophan content of 0.13%; diets 2 to 5 contained graded levels of supplemental tryptophan at 0.04% intervals giving total dietary tryptophan levels of 0.17 0.21, 0.25 and 0.29 percent levels respectively . The experiment lasted 28 days (0 to 28days) for the starter and another 28 days (2856 days) for the finisher phase. Results showed that dietary treatments had significant (P<0.05) effects on final body weight, weight gain, average daily weight gain, feed intake and feed conversion ratio. An appropriate fit was obtained by polynomial models for bird performance data, since this model was significant (P<0.05) by regression analysis of variance. The equation obtained from regression analysis in this study was reliable for obtaining an optimal digestible tryptophan level in the analyzed variables. It can be inferred that the 0.24% and 0.23% digestible tryptophan levels estimated from polynomial regression equation indicated an improvement in weight gain for the starter and finisher phases, respectively. Chicks fed 0.23% and 0.27% dietary tryptophan had similar results in terms of apparent digestible crude protein, ether extract, ash and nitrogen free extract. It was concluded that dietary tryptophan requirements during the cool season for the starter was 0.24%.
A Comparative Survey on Flight Software Frameworks for ‘New Space’ Nanosatellite Missions

Nanosatellite missions are becoming increasingly popular nowadays, especially because of their reduced cost. Therefore, many organizations are entering the space sector due to the paradigm shift caused by nanosatellites. Despite the reduced size of these spacecrafts, their Flight Software (FSW) complexity is not proportional to the satellite volume, thus creating a great barrier for the entrance of new players on the nanosatellite market. On the other side, there are some available frameworks that can provide mature FSW design approaches, implying in considerable reduction in software project timeframe and cost. This paper presents a comparative survey between six relevant flight software frameworks, compared according to commonly required ‘New Space’ criteria, and finally points out the most suitable one to the VCUB1 reference nanosatellite mission.
Identification of Novel PI3Kδ Selective Inhibitors by SVM-Based Multistage Virtual Screening and Molecular Dynamics Simulations

Phosphoinositide 3 kinase delta (PI3Kδ) is a lipid kinase that has been implicated in a variety of immune mediated disorders. The research on isoform selectivity was crucial for reducing side effects. In the current study, an optimized hierarchical multistage virtual screening method was utilized for screening the PI3Kδ selective inhibitors. The method sequentially applied a support vector machine (SVM), a protein ligand interaction fingerprint (PLIF) pharmacophore, and a molecular docking approach. The evaluation of the validation set showed a high hit rate and a high enrichment factor of 75.1% and 301.66, respectively. This multistage virtual screening method was then utilized to screen the NCI database. From the final hit list, Compound 10 has great potential as the PI3Kδ inhibitor with micromolar inhibition in the PI3Kδ kinase activity assay. This compound also shows selectivity against PI3Kδ kinase. The method combining SVM, pharmacophore, and docking was capable of screening out the compounds with potential PI3Kδ selective inhibitors. Moreover, structural modification of Compound 10 will contribute to investigating the novel scaffold and designing novel PI3Kδ inhibitors.
Performance of OpenCL in MultiCore Processors

OpenCL (Open Compute Language) is one of the popular cross platform parallel programming frameworks. However, most of the implementations focus mainly on parallelism using GPUs (Graphics Processing Units). With the advancement in modern multicore CPUs (Central Processing Units) and heterogeneous architecture, significant performance improvements can be seen in parallel computing using OpenCL. For that purpose, it is needed to figure out how current implementations affect performance in CPUs, and what changes are needed to fix these issues. Studies focusing on architectural constraints of the framework are looked upon to figure out possible solutions. In addition to that, CPU performance is compared between OpenMP (Open Multi-Processing) and OpenCL implementations. Another important domain in terms of parallel computing is its use in embedded systems, and the importance of OpenCL in heteregeneous platforms. For that purpose, OpenCL is compared with related frameworks for embedded systems. The results for all these studies verify that OpenCL can lead to better performance on multicore CPUs. The studies also provide new developers guidelines in obtaining best performance.
Study of a V-shape flame based on IR spectroscopy and IR imaging

Applicability of an IR imaging/spectroscopy diagnostic was tested on a laboratoryscale flame. For this purpose, measurements were carried out on a V-shape flame developed along a wall, with the aim of evaluating the wall temperature and of identifying the flame properties (temperature and species concentrations). Infrared measurements with a multiband camera and a spectrometer were post-processed and compared, in particular, with thermocouple measurements carried out for the wall temperature. Simple evaluation involving a correction for the emissivity showed a quite good agreement when assessed against experimental data. An attempt to reconstruct a flame emission spectrum was also carried out, expecting a possible inverse identification of the flame properties. The method showed a promising behaviour on synthetic data built with a radiative transfer model for gas and wall radiation. However, the spectrum reconstruction method is not yet accurate enough to allow an identification of the flame properties in full confidence when applied to actual experimental data. First tests showed a correct qualitative behaviour, but model refinements are required at least for the flame radiation, before getting accurate flame properties.
Quality or Quantity: Completion Rewards and Formative Assessments in Flipped Instruction Classes

Flipped instruction approaches are increasingly being applied to University curriculum (Akçayır & Akçayır 2018). Flipping the classroom moves events that have traditionally taken place inside the classroom to outside the classroom and vice versa (Lage et al. 2000). Content dissemination moves away from face-to-face hours and into online delivery outside of class, while face-to-face class time is used for practice and application (Hill 2012). A key factor influencing learning outcomes with flipped instruction is the amount of time students spend with the material outside of class (Lim & Morris 2009). Flipping the classroom assumes that students will take control of their learning in terms of pace of study, mastery of content, and coming to class prepared (Davies et al. 2013). Motivation plays a key role initiating and sustaining self-directed learning (Garrison 1997) and is positively associated with exam performance (Janssen & O’Brien 2014). In addition, lack of motivation is the major reason students drop out of online courses (Kim 2004). These self-directed learning insights have proven robust not only for MOOCs, but also online classes at community colleges and universities (Lee & Choi 2011; Levy 2007). This study examines two techniques aimed at student motivation for the outside-the-classroom portion of flipped instruction. The first is the use of Formative Assessments. The cognitive development literature reports that formative assessment feedback motivates deep learning (Higgins et al. 2002). Beyond motivation, formative assessments are often used by students to adjust their study process leading to improved learning outcomes (Cauley & McMillan 2010). The second tactic is the use of completion rewards tied to a desired behavior. In this study rewards are scores in an online gradebook. Students consistently report that grades are an overarching concern, such that all other goals are secondary (Pressley et al. 1998). In addition, knowing their progress and grades in a class may provide students a sense of satisfaction that motivates their effort (Docan 2006). There is very little rigorously designed research on flipped classroom approaches (Abeysekera & Dawson 2015). To partially address this gap, this study seeks to examine the effect of formative assessment completion scores for flipped instruction learning objectives. The following specific study questions are examined: Is Formative Assessment engagement associated with improved learning outcomes for outside the classroom flipped instruction content?
Synthesis of Novel Daclatasvir amino acid analogues for NS5A hepatitis-c virus inhibitor

The present invention relates to synthesize the novel Daclatasvir amino acid substituted analogue compounds (7a-7e). Their pharmaceutically acceptable salts and their isomers, hydrate and solvates. Which invention further relates to use of the above mentioned analogue compounds for the preparation of medicament for use as pharmaceuticals.
Residents’ perception of landscape as a driver of rural economy: a case study

To which extent landscape and its management represents an asset of local development in terms of welfare, population growth and employment creation, and a driver of regional economy is a relevant issue tackled by a growing body of literature building upon different methodological backgrounds. Analyses focusing on residents’ perception towards landscape may shed light on the complex feedback effects between landscape, supply and demand of services, and local socio-economic benefits. In this paper we present some result from a survey targeting local residents in a rural case study area. The analysis aims to assess the residents’ perception of advantages from typical landscape elements and highlight the connection between perceived advantages and landscape recreational attitude. Main results support the evidence that the perception of typical landscape elements is influenced by the respondent’s place of living, whereas the perception of advantages is not: Advantages seem to be linked with other socio-economic attributes. In particular free time behaviour and the “use” of landscape seem to be an important element influencing the perception of advantages.
Regeneration of Lac from Leaf Explants

The physiological stage of donor morphogenic potential of Lachersalia (Jacq various cultivars was different. Contact o with the medium did not significantly stimu leaf explants, but resulted in the formation Wounding on either the adaxial or the aba on certain hybrids, but others did not resp of explants from 10 to 3.3 mm resulted in formed by a specific amount of explant tis Lachenalia, a genus of the Hyacinthaceae, is a seasonal bulb endemic to southern Africa and is currently being developed for use as a pot plant. The mass propagation of LachReceived for publication 24 Jan. 1989. We thank M. Smith of the Directorate Biometrical and Datametrical Services of the Dept. of Agriculture and Water Supply for statistical analysis of data. The cost of publishing this paper was defrayed in part by the payment of page charges. Under postal regulations, this paper therefore must be hereby marked advertisement solely to indicate this fact.
Journal of Biotechnology Research Center Vol.6 No.1

acterial conjugations represent one of the possibilities to produce transformed bacteria. This study aimed to detect the occurrence of conjugation between the pathogenic bacteria Klebsiella pneumoniae and Proteus mirabilis and between Agrobacterium rhizogenes R1601 and Sinorhizobium meliloti. The results proved the conjugation in those bacterial parents through the sensitivity of bacterial species to specific types of antibiotics. The obtained data reported the stimulation of their growth when exposed to different electrical pulses. These electrotreatments include three voltages (200, 250, 300) volts of interval (0.5, 1.0, 2.0, 3.0, 4.0, 10.0, 20.0) msec. for each voltage . These treatments increase colonies numbers more than 50% which grown on the surface of the specific solid medium . The interesting results of this study are that pre-exposure of each type of bacteria and the exposure of the conjugation mixture to the above mentioned electrotreatments increase the transconjugant colonies at ratio (30-70)% and increased the conjugation frequency twice. This may be the key to enhance conjugation between those species of bacteria not enable or difficult for
Real-time Sentiment Analysis of Hindi Tweets

This paper explores real-time sentiment analysis (SA) of Twitter posts in Hindi, adopting a resource-based approach and classifying sentiment on a three-way scale of negative, positive and neutral. Furthermore, the efficiency of different approaches such as part-of-speech (POS) tagging and stopword removal are compared, and ways of improving the Hindi SentiWordnet (Aditya Joshi and Bhattacharya, 2010) are proposed. Little work in the area of SA and opinion mining has been done on Indian Languages. With the growth of online content in these languages, especially in social media, sentiment analysis is a burgeoning field for the application of natural language processing methods. While there has been some work done regarding SA in Hindi (Mittal et al., 2013), it has been conducted on a static database. The goal of this paper is to conduct SA on a dynamic corpus of tweets.
*Kavitha Ranganathan is Research Officer at National Institute of Securities Markets (NISM), Mumbai; Email: kavitha.ranganathan@nism.ac.in. Prof. Srinivas Prakhya is Associate Professor at Indian Institute of Management, Bangalore (IIMB); Email: sprakhya@iimb.ernet.in. Measuring Risk Attitudes and P

Attitude towards risk is a fundamental facet of behavior influencing decision making in diverse settings. We use the bounded rationality approach to predict investment choice of individual investors by interrelating aspiration data and risk attitudes. In an experimental study subjects invest in a portfolio that contains a risk-free but profitable bond and in a risky asset with high or low return states. The aspiration data facilitates to calibrate a unique risk co-efficient that captures the degree of risk aversion. We then categorize investors based on their degree of risk aversion and importance to personal values (SVS; Schwartz, et al., 2001) such as conformity, power, achievement, stimulation and more. The study highlights two distinctive investor groups with individual interests and collective interests. The basic values that drive risk aversion are self-transcendental and those which drive risk seekers are individualistic. JEL Classification: C91, G11, D81, A13
Gestures in Turn Taking in Early Stages of Foreign Language Fluency: Does the Growth Point Explain the Patterns?

The Growth Point Theory (McNeill and Duncan, 2000) posits the unity of gesture and speech. However in Hong Kong students of Spanish as a Foreign Language (FL) there is an observed dearth of gestures when they speak Spanish. The consequences of this are difficulties in conversing with Spanish native speakers, in particular when it comes to turn management. These students fail to use nonverbal cues, despite having been taught them. We believe that this is not only a result of socio-cultural differences but an inability to activate the Growth Point in the early stages of fluency of a FL.