Miracle-dz/UniFAR-FTUs huggingface dataset:
Parameter converting method for bifurcation analysis of nonlinear dynamical systems

For detecting behavior of a dynamical system, bifurcation analysis is necessary with respect to change in parameters of system. In this work, based on the solution of ordinary differential equations from initial value and parameters, a simple method is presented, which can efficiently reveal different bifurcations of system. In addition to its simplicity, this method does not required to have deep physical and mathematical understanding of the problem, and because of its high precision and the speed of solutions, does not need to reduce the order of models in many complex problems or problems with high degrees of freedom. This method is named parameter converting method (PCM), which has two steps. In the first step the parameter is varied as a function of time and in the second step, time is expressed as inverse of this assumed function. With this method bifurcation and amplitude-frequency diagrams and hidden attractors of some complex dynamics will be analyzed and the sensitivity of the multi potential well systems to initial conditions is studied. With this algorithm, a simple way to find the domain of high-energy orbit in bistable systems is obtained.
Dynamical Systems in Pin Mixers of Single-Screw Extruders

Dynamical systems generated by various types of pin mixers were studied for the application to the single-screw extruders. A periodic unit of the pin mixer was modeled as a dynamical system of the complex duct flow. It was found that the cross-sectional space could be divided into two distinct regions: the inner and outer zones. The pin configuration directly affects the motion of fluid particles in the inner region, while motion in the outer region is governed by the resonance phenomena. The effects of the number of pins, the pin height, the pin orientation, and the composition of two different pin units were studied with the numerical results and explained in the language of the dynamical systems theories. Finally, the validity of our modeling, and the numerical result was verified by qualitative comparison with experimental results. © 2004 American Institute of Chemical Engineers AIChE J, 50: 1372–1385, 2004
The Betic-Rif Arc and Its Orogenic Hinterland: A Review

The Betic-Rif arc is one of the smallest and tightest orogenic arcs on Earth, and together with its extensional hinterland, the Albor´ an Domain, it formed between two colliding continents. The region provides examples of a range of tectonic processes that are not predictable from the rules of rigid-plate tectonics. The AlborDomain reveals two stages of subduction and accre- tion, with different thermal histories and mechanisms of exhumation. The external Betic-Rif thrust belt illustrates four processes that create an arcuate orogen and a strongly divergent pattern of slip vectors: (a) the interaction between the westward moving Albor´ an Domain and the converging African and Iberian margins, (b) divergence in relative motion due to extension within the Albor´ an Domain, (c) slip partitioning onto strike-slip faults within the arc, and (d ) vertical-axis rotations resulting from oblique convergence on the limbs of the arc.
Choosing ICT Tools: Proposition of a Model to Deliver Value for Clients

Several tools of Information and Communication Technology (ICT) are being used nowadays to support customer relationship processes. Literature review shows that, in the selection and deployment of these tools, internal goals of productivity and efficiency predominate. In just a few situations, the objective is offering higher value to the client. Therefore, the objective of this research was to propose a process of selection and deployment of ICT tools geared towards offering higher value, in the business to business market. Primary data were collected in depth interviews with high-level executives responsible for ICT areas. For the content analysis, the ATLAS-ti software was used, searching for recurrent themes. A value oriented process for choosing and implementing ICT tools was then proposed.
Unleashing the Power of Public Data for Financial Risk Measurement, Regulation, and Governance

We present Midas, a system that uses complex data processing to extract and aggregate facts from a large collection of structured and unstructured documents into a set of unified, clean entities and relationships. Midas focuses on data for financial companies and is based on periodic filings with the U.S. Securities and Exchange Commission (SEC) and Federal Deposit Insurance Corporation (FDIC). We show that, by using data aggregated by Midas, we can provide valuable insights about financial institutions either at the whole system level or at the individual company level. To illustrate, we show how co-lending relationships that are extracted and aggregated from EC text filings can be used to construct a network of the major financial institutions. Centrality computations on this network enable us to identify critical hub banks for monitoring systemic risk. Financial analysts or regulators can further drill down into individual companies and visualize aggregated financial data as well as relationships with other companies or people (e.g., officers or directors). The key technology components that we implemented in Midas and that enable the above applications are: information extraction, entity resolution, mapping and fusion, all on top of a scalable infrastructure based on Hadoop.
Fitting Mixed Membership Models using mixedMem

This vignette is a tutorial for the mixedMem R package that allows users to ﬁt and visualize results for a broad class of mixed membership models as speciﬁed by Erosheva et al. [2004]. Relevant data structures include multivariate outcome vectors. Mixed distribution types and replicate measurements are supported. Version 1.0 allows for binary, multinomial or Plackett-Luce rank distribution types. This tutorial provides an outline of functions available in the package and a step-by-step guide for ﬁtting mixed membership models. As an example, we carry out a mixed membership analysis to identify latent ideology blocs using political survey data from the 1983 American National Election Survey Pilot
A 32 nm NPN SOI HBT with Programmable Power Gain and 839 GHzV ftBVCEOProduct

The performance of npn SiGe HBT on thin film SOI is investigated at 32 ㎚ technology node by applying body bias. An n-well is created underneath thin BOX to isolate the body biased SOI HBT from SOI CMOS. The results show that the HBT voltage gain and power gain can be programmed by applying body bias to the n-well. This HBT can be used in variable gain amplifiers that are widely used in the receiver chain of RF systems. The HBT is compatible with 32 ㎚ FDSOI technology having 10 ㎚ film thickness and 30 ㎚ BOX thickness. As the breakdown voltage increases by applying the body bias, the SOI HBT with 3 V VCE has very high ftBVCEO product (839 ㎓V). The self heating performance of the proposed SOI HBT is studied. The high voltage gain and power gain (60 ㏈) of this HBT will be useful in designing analog/RF systems which cannot be achieved using 32 ㎚ SOI CMOS (usually voltage gain is in the range of 10-20 ㏈).
Effects of Microelectrólisis Percutaneous (MEP ®) on pain and functionality in patients with calcaneal tendinopathy.

Introduction: The Achilles tendinopathy with tendon injuries are the third most common in the musculoskeletal system. New therapies have been proposed for the treatment of tendinopathy as Percutaneous Microelectrolisis (MEP ®). Objective : The aim of this study was to evaluate the effects of MEP ® on tendinopathy of Achilles. Method: This was a controlled clinical trial, randomized study. The sample comprised 20 patients with Achilles tendinopathy. The volunteers were randomly divided into two groups, control (G1) underwent conventional treatment protocol and experimental (G2) which was under the application of MEP. We made two visits per week for a month, totaling eight sessions. As evaluation method were used four questions from Visa-A questionnaire related to the functionality and exercise pratice. Data were analyzed using paired and independent T test . Results: The pain when walking down stairs has been observed a reduction in G1 (p <0.05) and G2 (p <0.001) before and after the protocols. Among the groups there was a greater reduction in G2 (p <0.001). Pain after heating was observed a reduction in G2 (p <0.001). Among them there was a greater reduction (p <0.05) in G2. For pain was observed after walking a reduction in G1 (p <0.05) and G2 (p <0.001) before and after the protocols. Among them there was a reduction (p <0.05) higher in G2. In pain after exercise was observed a reduction in G2 (p <0.001). Among the groups there was a greater decrease in G2 (p <0.05). Conclusion: We conclude that the MEP ® helps reduce pain in functional activities.
Teaching Programming Subjects with Emphasis on Programming Paradigms

No holistic approach is available to teach programming subjects, especially for novices. The current practice involves guiding the students to become the users of a programming language or tools. This study explores an alternative approach to teaching programming subjects. The students have to learn programming languages with respect to programming paradigms instead of learning how to write a solution for a problem using a language directly. Solutions are designed by the software engineers, programming paradigms are providing the way to design our thoughts. Programming languages generally provide libraries to implement the solution and provide the platform to run the solution. Students should know languages should be chosen primarily if it has paradigm support, according to the way the solution is designed and the required libraries are available. This makes the learners to understand the program language structure and programming in a better way. This approach has been tested with 30 batches of students in 7 universities. 80% of the students, particularly beginners responded positively and 50% of the students felt that, their fear on programming has been overcome. Almost everyone understands the programming language, architecture and program structure in a better way. Index Terms Teaching, Programming Subjects, Programming Paradigms, Programming languages.
An Overdensity of Galaxies at z = 5.9 ± 0.2 in the Hubble Ultra Deep Field Confirmed Using the ACS Grism

We present grism spectra taken with the Advanced Camera for Surveys (ACS) to identify 29 red sources with (i775 - z850) ≥ 0.9 in the Hubble Ultra Deep Field (HUDF). Of these, 23 are found to be galaxies at redshifts between z = 5.4 and 6.7, identified by the break at 1216 Å due to intergalactic medium (IGM) absorption; two are late-type dwarf stars with red colors; and four are galaxies with colors and spectral shapes similar to dust-reddened or old galaxies at redshifts z ≈ 1-2. This constitutes the largest uniform, flux-limited sample of spectroscopically confirmed galaxies at such faint fluxes (z850 ≤ 27.5). Many are also among the most distant spectroscopically confirmed galaxies (at redshifts up to z = 6.7). We find a significant overdensity of galaxies at redshifts z = 5.9 ± 0.2. Nearly two-thirds of the galaxies in our sample (15/23) belong to this peak. Taking into account the selection function and the redshift sensitivity of the survey, we get a conservative overdensity of at least a factor of 2 along the line of sight. The galaxies found in this redshift peak are also localized in the plane of the sky in a nonrandom manner, occupying about half of the ACS chip. Thus the volume overdensity is a factor of 4. The star formation rate derived from detected sources in this overdense region is sufficient to reionize the local IGM.
Phytochemical investigation of Melissa officinalis L. flowers from Northern part of Iran (Kelardasht)

Melissa officinalis L. (Lamiaceae/Labiatae) is a medicinal herb having used in traditional medicine all over the world. Analyzing the volatile oils by hydrodistillation method along with characterizing major flavonoids of M. officinalis flowers growing wild in the north of Iran was the aim of this study. Hence, the study led to the identification of 37 oil compositions by a combination HP-5 GC-FID and GC-MS analytical techniques. The results revealed that the major oil components for M. officinalis was βcaryophyllene (24.4%), followed by geranial (8.6%), 1,8-cineole (6.9%), neral (6.7%), dehydroaromedendrene (5.8%) and thymol (4.8%), accounting for 91.34% of the total components. The essential oils of M. officinalis inhibited mildly the DPPH radicals were identified by approximately equal amount of monoterpenes (42.22%) and sesquiterpenes (43.72%). Furthermore, based on high amount of total flavonoid content in EtOAc extract of flowers (49.25 ± 1.03 mg/g) and consequently the potent antioxidant activity (inhibition of the DPPH radicals, IC50= 25.26 ± 0.61 μg/ml), two major flavonoids (apigenin 1 and quercetin 2) have been isolated from flowers of M. officinalis by using Column Chromatography method. The structures of 1 and 2 were established by analysis of NMR spectroscopic data and comparison with their literature data.
Image Reconstruction in Radio Astronomy with Non-Coplanar Synthesis Arrays

Traditional radio astronomy imaging techniques assume that the interferometric array is coplanar, with a small field of view, and that the two-dimensional Fourier relationship between brightness and visibility remains valid, allowing the Fast Fourier Transform to be used. In practice, to acquire more accurate data, the non-coplanar baseline effects need to be incorporated, as small height variations in the array plane introduces the w spatial frequency component. This component adds an additional phase shift to the incoming signals. There are two approaches to account for the non-coplanar baseline effects: either the full three-dimensional brightness and visibility model can be used to reconstruct an image, or the non-coplanar effects can be removed, reducing the three dimensional relationship to that of the two-dimensional one. This thesis describes and implements the w-projection and w-stacking algorithms. The aim of these algorithms is to account for the phase error introduced by non-coplanar synthesis arrays configurations, making the recovered visibilities more true to the actual brightness distribution model. This is done by reducing the 3D visibilities to a 2D visibility model. The algorithms also have the added benefit of wide-field imaging, although w-stacking supports a wider field of view at the cost of more FFT bin support. For w-projection, the w-term is accounted for in the visibility domain by convolving it out of the problem with a convolution kernel, allowing the use of the two-dimensional Fast Fourier Transform. Similarly, the w-Stacking algorithm applies a phase correction in the image domain to image layers to produce an intensity model that accounts for the non-coplanar baseline effects. This project considers the KAT7 array for simulation and analysis of the limitations and advantages of both the algorithms. Additionally, a variant of the Hogbom CLEAN algorithm was used which employs contour trimming for extended source emission flagging. The CLEAN algorithm is an iterative two-dimensional deconvolution method that can further improve image fidelity by removing the effects of the point spread function which can obscure source data. iii Stellenbosch University https://scholar.sun.ac.za
Raindrop Shape-Size Relation Retrieval from Polarimetric Radar Measurements

This paper presents a technique by which it is possible to retrieve the drop shape-size relation that governs the polarimetric radar observations of reflectivity, Zh, differential reflectivity Zdr, and specific differential propagation phase Kdp. To study the shape– size relation, an observation domain is introduced. In this space, called Radar Drop Shape Size Domain, (RDSSD), the DSD variability is almost eliminated and any variation is essentially due to the drop shape variability, allowing the same to be observed. The RDSSD can be mapped to a corresponding domain in which the drop shape is expressed through the relation between the ratio between the semi-minor axis and the semi-major axis (b and a, respectively) of the oblate spheroid approximating the drop and the equivolumetric diameter of the drop (D). This drop shape-size domain is parameterized with a fourth-order polynomial. A minimization procedure of the error between the measured values of observables and values from a priori model in RDSSD is developed by changing elements of the above-mentioned polynomial. As a result, a relation between the axis ratio b/a and D that approaches the underlying unknown relation governing the prevailing radar measurements is found.
Study of the Relation between Cultural Intelligence and Organizational Commitment among Staff Case Study (Arman Financial Institution)

This research intended to study the relation in between cultural intelligence and organizational commitment among the staff of Arman financial institute in Tehran. From all the staff in Arman financial institute by the use of available sampling 234 were selected as the sample of the research. The subjects responded to the cultural intelligence questionnaire (Ank et al., 2004) and organizational commitment (Alen and Maier 1990). The statistical method implemented in this research for data analysis revealed multiple regression and Pearson correlation. The research findings showed that there is a negative and significant relation between cultural intelligence and organizational commitment.
Financing of innovations – thresholds and options

The paper investigates thresholds and options for financing innovation activities in manufacturing and services using data from the German Community Innovation Survey (CIS) 2007. We analyze the significance of financing restrictions, especially the role of internal financing, external capital, and public funding, and discuss applicable management options to cope with challenges in markets and technology. We find that most firms rely mainly on selffinancing means to start an innovation project. As a consequence of information asymmetries, private investors, e.g. banks, are uneager to invest in risky innovative ventures. Public funding might complement internal financing in order to balance shortcomings in private capital provision, but these sources have to be identified and convinced. In sum, the empirical work states that financing innovation is an entrepreneurial task, and the management of innovation needs strategic thinking as well as a well defined capital portfolio policy.
Acoustic simulation of cochlear implant hearing

One aim in current cochlear implant (CI) research is to improve and opti- mize speech processing strategies. During the development of new strate- gies acoustic simulations of CI hearing have widely been used for evalua- tion. These models usually take audio signals as input and mimic the effects of CI signal processing. In the present paper a new algorithm of acoustic simulation is presented, which transforms stimulation patterns of any co- chlear implant directly into an audio signal. Therefore it is independent of the CI strategy used for generating the stimulation pattern. Technical aspects like current spread and physiological aspects including loudness perception and phase locking capabilities of the simulated CI listener can be config- ured. The presented algorithm was used to evaluate and compare two differ- ent CI speech processing strategies in terms of speech intelligibility and pitch discrimination. The results show that acoustic simulation can help es- timate the amount of useful information in a CI stimulation pattern and hence be a help in evaluating CI strategies.
A network of filaments detected by Herschel in the Serpens core: A laboratory to test simulations of low-mass star formation

V.R. was partly supported by the DLR grant number 50 OR 1109 and by the Bayerische Gleichstellungsforderung (BGF). This research was partly supported by the Priority Programme 1573 “Physics of the Interstellar Medium” of the German Science Foundation (DFG), the DFG cluster of excellence “Origin and Structure of the Universe” and by the Italian Ministero dell’Istruzione, Universita e Ricerca through the grant Progetti Premiali 2012 -iALMA (CUP C52I13000140001). C.E. is partly supported by Spanish Grants AYA 2011-26202 and AYA 2014-55840-P.
Learned Resourcefulness and the Long-Term Benefits of a Chronic Pain Management Program

A concurrent mixed methods approach was used to understand how learned resourcefulness empowers individuals. After completing Rosenbaum's Self-Control Schedule (SCS) measuring resourcefulness, 16 past clients of a multimodal pain clinic were interviewed about the kinds of pain-coping strategies they were practicing from the program. Constant comparative analysis of the text-based data revealed striking differences in the type of pain management strategies used by high- and low-resourceful participants. A substantive theory is advanced, whereby introspection and emotion allow for acceptance, which in turn permits the constructive use of social supports and enactment of active, and sometimes creative, pain-coping strategies to engage in meaningful activities.
Conservation hotspots: implications of intense spatial area use by breeding male and female loggerheads at the Mediterranean's largest rookery

The implementation of appropriate protection measures for endangered species in pro- tected areas requires knowledge of their fine-scale habitat use. In May and June of 2006 and 2007, we used GPS loggers (some linked to the Argos system) and a conventional Argos transmitter to track male and female loggerhead turtles Caretta caretta in the vicinity of the breeding area of Laganas Bay within the National Marine Park of Zakynthos, Greece. We obtained (1) 9681 useable locations (mean: 1383 lo- cations ind. -1 ; range: 519 to 2198 locations) from Tracktag GPS loggers attached to 7 females for a mean duration of 34 d (range: 17 to 52 d); (2) 1245 useable locations (mean: 311 locations ind. -1 ; range: 38 to 1110 locations) from 4 males fitted with Fastloc Argos tags for a mean duration of 29 d (range: 3 to 51 d) and (3) 100 locations from 1 male fitted with a conventional Argos satellite tag tracked for 128 d. GPS data indicated that before the onset of nesting, both males and females primarily used an area within 500 m of the shore along a core 9 km stretch of coastline, where existing protective legislation requires strengthening. Our observations suggest that a 76.7% female-biased operational sex ratio, measured previously from in-water surveys, may represent a realistic sex ratio estimate in the period before nest- ing starts. In the first month following the onset of nesting, female spatial distribution remained similar, whereas most males departed for distant areas presumably to forage. Our study provides quantitative evidence of the need to improve the management planning and conservation measures to protect sea turtles in a coastal breeding area, and new insights on male turtle migration.