Miracle-dz/UniFAR-FTUs huggingface dataset:
Assisting the synchronization of UCM-based architectural documentation with implementation

A key aspect of architecture-centric development is the traceability of design documentation. In particular, architects should be always aware of the relationships between the architectural model “as documented” and its corresponding implementation model. The problem is that these two models usually diverge from each other over time, due to factors such as new requirements, refactorings, etc. Therefore, tool assistance is very important to assess the level of conformance between architectural documentation and implementation. In this paper, we present a tool approach called ArchSync that helps architects to conciliate architectural documentation expressed through Use-Case Maps with Java source code, as modifications are being made on the code. ArchSync relies on a heuristic that incrementally detects inconsistencies with respect to the architectural prescriptions, based on the analysis of system execution traces. ArchSync can also give suggestions for re-synchronization. Results of two case-studies showing the applicability of the approach are reported.
Design of a Wireless Communication System for Unmanned Search and Rescue

The use of robotics in Search and Rescue operations is a topic that is gaining momentum in the scientific community. One aspect of such operations that has yet to be explored is that of wireless communication between the various robotic elements operating in the disaster area. This paper presents a model consisting of 15 Unmanned Ground Vehicles (UGVs), two Unmanned Aerial Vehicles (UAVs) and one Cell On Wheels (COW). This configuration explores the nature of such communication in the form of a network with payloads of sensor data, video data and telemetry bursts being sent from the UGVs via the UAV to the COW, and with telecommands being sent via the downlink. Another issue explored is that of horizontal handover that occurs when one UGV moves out of its home UAV’s coverage and moves into another UAV’s coverage. The results of the paper show that the network is fully functional with benchmark compliant video latency and jitter. Moreover, it is shown that the handover that occurs between the two coverage areas experiences no loss of useful information. Key-Words: Search and Rescue, 802.11, Handover, Unmanned Vehicles, Latency, Jitter, Robotics.
The Web 2.0 Driven SECI Model Based Learning Process

Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into organizational theory. Now, after 15 years Web 2.0 concepts seem to be an ideal fit with Nonaka's SECI approach opening new doors for more personal, dynamic, and social learning on a global scale. In this paper, we present an extended view of blended learning which includes the combination of formal and informal learning, knowledge management, and Web 2.0 concepts into one integrated solution, by discussing what we call the Web 2.0 driven SECI model based learning process.
Nanoparticulate systems for polynucleotide delivery

Nanotechnology has tremendously influenced gene therapy research in recent years. Nanometer-size systems have been extensively investigated for delivering genes at both local and systemic levels. These systems offer several advantages in terms of tissue penetrability, cellular uptake, systemic circulation, and cell targeting as compared to larger systems. They can protect the polynucleotide from a variety of degradative and destabilizing factors and enhance delivery efficiency to the cells. A variety of polymeric and non-polymeric nanoparticles have been investigated in an effort to maximize the delivery efficiency while minimizing the toxic effects. This article provides a review on the most commonly used nanoparticulate systems for gene delivery. We have discussed frequently used polymers, such as, polyethyleneimine, poly (lactide-co-glycolide), chitosan, as well as non-polymeric materials such as cationic lipids and metallic nanoparticles. The advantages and limitations of each system have been elaborated.
Experiential Learning in Family Life Education Methodology: Low, Medium, and High Dosage Projects

Background: Family Life Education Methodology (FLEM) is an integral component of the family science collegiate curriculum. Given the range of topics and that material is not immediately interesting to students, teaching FLE courses is consistently reported as difficult. Purpose: The goal of this study is to evaluate an experiential learning approach to FLEM that addresses these pedagogical issues by expanding on the low, medium, and high dosage projects as proposed by Vaterlaus and Asay. Methodology/Approach: This approach was implemented with four FLEM classes in a midsize university (N = 120). Students completed a low, medium, and high dosage project throughout each course, and completed written evaluations after each project, which were analyzed using qualitative analysis. Findings/Conclusions: Students reported multiple benefits for each project. The low dosage project was associated with learning what FLEM is, finding, and building on passions. The medium dosage project was associated with tangible and self-learning. The high dosage project was associated with outside learning and making a difference in the community. Implications: The proposed approach utilized multiple opportunities for experiential learning that appear beneficial for student learning. Replication is needed in other collegiate contexts to validate the approach.
Power-aware noc reuse on the testing of core-based systems

This work discusses the impact of power consumption on the test time of core-based systems, when an available on-chip network is reused as test access mechanism. A previously proposed technique for the reuse of an on-chip network is extended to consider power consumption during test, while minimizing the system testing time. Experimen- tal results with the ITC'02 SoC benchmarks show that al- though power constraints can preclude the full exploration of the network parallelism, this platform is still a powerful mechanism for the system test time reduction at a very low cost.
Turkish adaptation of Kessler Psychological Distress Scale:
validity and reliability study

Objective: Psychological distress is defined as emotional damage characterized by symptoms of depression and anxiety. Aim of study is to adapt Kessler Psychological Distress Scale (K10-PDS) to Turkish and to determine its validity and reliability and use it in psychological distress screenings. Methods: K10-PDS was translated into Turkish according to WHO World Mental Health Initiative Interview Translation Guidelines. A Sociodemographic Information Questionnaire, Beck Depression Inventory for Primary Care (BDI-PC) and Turkish K10-PDS were applied to 200 volunteers between 18-77 years old in Family Medicine and Psychiatry polyclinics of Antalya Training and Research Hospital. Turkish K10-PDS were given again to 55 participants for reliability study four days later. Results: Mean of participants' Turkish K10-PDS score was 21. 8Â±10.7. Reliability (Cronbach's alpha) of the Turkish K10-PDS was 0.95. Based on ROC analysis, the area under the curve was found to be 0.958. Spearman-Brown two-quartile test reliability was 0.93, and test-retest correlation coefficient was 0.89. Item-total score correlations ranged between 0.720 and 0.887. At the cut-off point of >20, the sensitivity was 92.0% and specificity was 90.4%. Conclusion: It has been shown that Turkish K10-PDS can be used as a valid and reliable scale for the detection, screening and treatment of depression and anxiety disorders, especially for psychological distress.
Open String Moduli in KKLT Compactifications

In the K achru-K allosh-Linde-Trivedi (K K LT) de-Sitter construction one introduces an anti-D 3-brane that breaks the supersym m etry and leads to a positive cosm ological constant. In this paper we investigate the open string m oduliassociated with this anti-D 3-brane,corresponding to itsposition on the S 3 atthe tip ofthe deform ed conifold.W e show thatin theK K LT construction thesem oduliarevery light,and wesuggesta possible way to give these m odulia largem assby putting orientifold planesin the K K LT \throat".
Content‐Aware Automatic Photo Enhancement

Automatic photo enhancement is one of the long‐standing goals in image processing and computational photography. While a variety of methods have been proposed for manipulating tone and colour, most automatic methods used in practice, operate on the entire image without attempting to take the content of the image into account. In this paper, we present a new framework for automatic photo enhancement that attempts to take local and global image semantics into account. Specifically, our content‐aware scheme attempts to detect and enhance the appearance of human faces, blue skies with or without clouds and underexposed salient regions. A user study was conducted that demonstrates the effectiveness of the proposed approach compared to existing auto‐enhancement tools.
Allogeneic amniotic membrane-derived mesenchymal stromal cell transplantation in a porcine model of chronic myocardial ischemia

Introduction. Amniotic membrane contains a multipotential stem cell population and is expected to possess the machinery to regulate immunological reactions. We investigated the safety and efficacy of allogeneic amniotic membrane-derived mesenchymal stromal cell (AMSC) transplantation in a porcine model of chronic myocardial ischemia as a preclinical trial. Methods. Porcine AMSCs were isolated from amniotic membranes obtained by cesarean section just before delivery and were cultured to increase their numbers before transplantation. Chronic myocardial ischemia was induced by implantation of an ameroid constrictor around the left circumflex coronary artery. Four weeks after ischemia induction, nine swine were assigned to undergo either allogeneic AMSC transplantation or normal saline injection. Functional analysis was performed by echocardiography, and histological examinations were carried out by immunohistochemistry 4 weeks after AMSC transplantation. Results. Echocardiography demonstrated that left ventricular ejection fraction was significantly improved and left ventricular dilatation was well attenuated 4 weeks after AMSC transplantation. Histological assessment showed a significant reduction in percentage of fibrosis in the AMSC transplantation group. Injected allogeneic green fluorescent protein (GFP)-expressing AMSCs were identified in the immunocompetent host heart without the use of any immunosuppressants 4 weeks after transplantation. Immunohistochemistry revealed that GFP colocalized with cardiac troponin T and cardiac troponin I. Conclusions. We have demonstrated that allogeneic AMSC transplantation produced histological and functional improvement in the impaired myocardium in a porcine model of chronic myocardial ischemia. The transplanted allogeneic AMSCs survived without the use of any immunosuppressants and gained cardiac phenotype through either their transdifferentiation or cell fusion.
Cognitive multiple access using soft sensing and secondary channel state information

We consider a random access primary network. At the beginning of each time slot, a number of secondary users sense the channel and make an access decision based on the spectrum sensing outcome and the channel state information (CSI). Specifically, the channel is accessed by a secondary transmitter with a probability that depends on both the sensing metric and the gain or signal-to-noise-ratio (SNR) of the channel between the transmitter and its respective receiver. Spectrum sensing operates in a “soft” mode where the sensing metric is used directly rather than making a binary decision concerning primary activity. We consider backlogged secondary users and primary users with infinite queues. The secondary access probabilities are obtained via solving an optimization problem designed to maximize the secondary throughput given a constraint on primary queue stability. The problem is shown to be convex and, hence, the global optimum can be obtained efficiently. Numerical results reveal a significant performance improvement in the secondary throughout with stable primary queues over the use of spectrum sensing with conventional detection or the implementation of sensing alone without making use of the CSI information.
Structural basis for m7G-cap hypermethylation of small nuclear, small nucleolar and telomerase RNA by the dimethyltransferase TGS1

The 5′-cap of spliceosomal small nuclear RNAs, some small nucleolar RNAs and of telomerase RNA was found to be hypermethylated in vivo. The Trimethylguanosine Synthase 1 (TGS1) mediates this conversion of the 7-methylguanosine-cap to the 2,2,7-trimethylguanosine (m3G)-cap during maturation of the RNPs. For mammalian UsnRNAs the generated m2,2,7G-cap is one part of a bipartite import signal mediating the transport of the UsnRNP-core complex into the nucleus. In order to understand the structural organization of human TGS1 as well as substrate binding and recognition we solved the crystal structure of the active TGS1 methyltransferase domain containing both, the minimal substrate m7GTP and the reaction product S-adenosyl-l-homocysteine (AdoHcy). The methyltransferase of human TGS1 harbors the canonical class 1 methyltransferase fold as well as an unique N-terminal, α-helical domain of 40 amino acids, which is essential for m7G-cap binding and catalysis. The crystal structure of the substrate bound methyltransferase domain as well as mutagenesis studies provide insight into the catalytic mechanism of TGS1.
Integrated, Overwhelmed, and Distanced: Narratives of Mental Health Among Young Adults With Prior Public System Involvement

Objective: Young adults who have been involved in child welfare and other public systems of care often have elevated rates of mental health disorders and low rates of mental health service utilization. This study explores the mental health narratives of young adults who previously were involved in public systems of care to understand how they make meaning of their symptoms and professional treatment. Method: We conducted in-depth, face-to-face interviews with 40 young adults (ages 18–25) who have mood disorders and histories of involvement in public systems of care. We used narrative and case-study strategies to identify and examine the mental health experiences of participants. Results: Three types of mental health experiences—classified as integrated, overwhelmed, and distanced—emerged from the analyses. Differences between these types are described. Conclusions: Young adults with histories of involvement in public systems of care have distinct mental health experiences. Practitioners should consider the diversity of these experiences to help young adults improve their overall well-being.
An Error in the Argument from Conditionality and Sufficiency to the Likelihood Principle

It is not uncommon to see statistics texts argue that in frequentist theory one is faced with the following dilemma, either to deny the appropriateness of conditioning on the precision of the tool chosen by the toss of a coin, or else to embrace the strong likelihood principle which entails that frequentist sampling distributions are irrelevant to inference once the data are obtained. This is a false dilemma: Conditioning is warranted in achieving objective frequentist goals, and the conditionality principle coupled with sufficiency does not entail the strong likelihood principle. The “dilemma” argument is therefore an illusion.
VIBRATO ANALYSIS IN BYZANTINE MUSIC

In this work we study the vibrato rate, extent and intonation in Byzantine Music. Two methods of analysis have been applied: the first based on the analytical signal and the second on the crests and troughs of the waveform of the vibrato signal. Tones samples were extracted from ascending and descending music scales, chanted by five famous singers for all the Greek vowels. The two analysis methods produced identical results in the level of significance, a=0.05, concerning the mean extent, the mean standard deviation of the rate and the mean intonation, while they differed in the rate (1.9-6.6%), the mean standard deviation of the extent (4-6 cents) and the standard deviation of intonation (0.46-1.20 Hz). Typical values of the average rate within a tone were found to be 5.35 Hz (SD: 0.96 Hz) and 5.13 Hz (SD: 0.95 Hz), while the most frequent values were 4.8 Hz and 4.5 Hz, for the first and second method, respectively. The average extent within a tone was 50 cents (SD: 18 cents). Moreover, the dependence of the vibrato parameters on pitch and sound intensity has been studied; there was no systematic relationship between them.
Measurements of optical properties of atmospheric aerosols in Northern Finland

Three years of continuous measurements of aerosol optical properties and simultaneous aerosol number size distribution measurements at Pallas GAW station, a remote subarctic site in the northern border of the boreal forest zone, have been analysed. The scattering coefficient at 550 nm varied from 0.2 to 94.4 Mm −1 with an average of 7.1±8.6 Mm −1 . Both the scattering and backscattering coefficients had a clear seasonal cycle with an autumn minimum and a 4–5 times higher summer maximum. The scattering was dominated by submicron aerosols and especially so during late summer and autumn. The Angstrom exponent had a clear seasonal pattern with maximum values in late summer and minimum values during wintertime. The highest hemispheric backscattering fraction values were observed in autumn. To analyse the influence of air mass origin on the aerosol optical properties a trajectory climatology was applied to the Pallas aerosol data. The most polluted trajectory patterns represented air masses from the Kola Peninsula, Scandinavia and Russia as well as long-range transport from Britain and Eastern Europe. These air masses had the largest average scattering and backscattering coefficients for all seasons. Higher than average values of the Angstrom exponent were also observed in connection with transport from these areas.
SPATIO-TEMPORAL CONSTRAINED RECONSTRUCTION OF SPARSE DYNAMIC CONTRAST ENHANCED RADIAL MRI DATA

Dynamic contrast enhanced (DCE) MRI is a useful technique to probe physiology in an organ or area of interest over time. In this process a contrast agent is injected into the body and images are acquired over time to track the uptake and washout patterns of an area of interest. It takes a relatively long time to acquire full data in k-space for each time frame without tradeoffs in spatial and temporal resolution. We propose a spatio-temporal constrained reconstruction (STCR) technique that uses spatial and temporal constraints to reconstruct high quality images from undersampled dynamic k-space data. The proposed method was tested on angularly undersampled (sparse) radial dynamic contrast enhanced myocardial perfusion data and compared to standard inverse Fourier reconstructions from full data. The method reconstructed images faithfully from as little as 15% of full data and contrast to noise ratio was improved by 30%. Image quality was preserved even in the presence of some respiratory motion
Downtown Los Angeles 52-Story High-Rise and Free-Field Response to an Oil Refinery Explosion

The ExxonMobil Corp. oil refinery in Torrance, California, experienced an explosion on 18 February 2015, causing ground shaking equivalent to a magnitude 2.0 earthquake. The impulse response for the source was computed from Southern California Seismic Network data for a single force system with a value of 2 × 105 kN vertically downward. The refinery explosion produced an air pressure wave that was recorded 22.8 km away in a 52-story high-rise building in downtown Los Angeles by a dense accelerometer array that is a component of the Community Seismic Network. The array recorded anomalous waveforms on each floor displaying coherent arrivals that are consistent with the building's elastic response to a pressure wave caused by the refinery explosion. Using a finite-element model of the building, the force on the building on a floor-by-floor scale was found to range up to 1.42 kN, corresponding to a pressure perturbation of 7.7 Pa.
On Global Rigidity and Universal Rigidity of Generic Bar Frameworks with Few Vertices

Gale transform was successfully used to classify polytopes with few vertices; that is, r-dimensional polytopes with r + k vertices, where k is small. In this paper, we use Gale transform to classify r-dimensional generic bar frameworks with r + k vertices, where k ≤ 4; as universally rigid, globally rigid or nonglobally rigid.
Passive copy-move forgery detection in videos

Due to evolution of prevalent sophisticated digital video editing software it has become easier to forge any video. Copy-Move forgery is a special kind of video forgery technique, in which copy-move of the frame region is performed in intra frame or inter frames. This copy-move introduces a special kind of relationship between the original frame segment and the pasted one, which provides clue for copy-move forgery detection (CMFD). In this paper a passive forensic scheme has been considered for CMFD in spatial and temporal domain of video. For detecting copy-move forgery in spatial domain, Scale Invariant Features Transform (SIFT) is proposed. Noise residue and Correlation technique have been proposed for temporal copy-move forgery detection. Copy-Move forgery detection using SIFT features show robust result in comparison to other features because SIFT features are immune to various type of transformation like scaling, translation, rotation etc. Experimental results show that our technique successfully detect spatial and temporal copy-move forgery in the video.
The Radio-to-Submillimeter Flux Density Ratio of Galaxies as a Measure of Redshift

We re-examine the technique of determining the redshifts of galaxies from the ratio of the submillimeter-toradio continuum flux densities based on a recently published catalog of 850 µm sources. We derived the expected variation of this ratio as a function of redshift incorporating the expected average luminosity and the spectral energy distribution (SED) of dust emission and the radio continuum. We find that the existing data for most of the high redshift (z 1) sources correspond to our new calculation. Amongst the well-identified sources, there is none with an index significantly higher than predicted. Sources which have an index lower than predicted are either within the error zone or much lower, the latter presumably having AGN-dominated radio-continuum emission. We find the median redshift to be ∼ 2, which is consistent with that deduced by previous work (∼ 3) within the error. We also discuss the various systematic effects that can affect the accuracy of the redshift estimate. We examine other methods of redshift estimation, like photometric ratio in the submillimeter and locating the peak of the SED in the rest system of the objects. We conclude that while the various methods are helpful in identifying high-redshift objects and making a crude estimate of the redshift, they are not, at present, accurate enough for a detailed study of redshift distribution of the submillimeter galaxies.
N-gram Graphs: Representing Documents and Document Sets in Summary System Evaluation

Within this article, we present the application of the AutoSummENG method within the TAC 2009 AESOP challenge. We further oer an alternative to the original AutoSummENG method, which uses an additional operator of the n-gram graph framework to represent a set of documents with a single, merged graph. Both alternatives oer very good results in dierent aspects of the AESOP results evaluation. The original AutoSummENG method appears a very good linear estimator of Pyramid score and responsiveness, while the new Merged Model variation oers very good (non-linear) rank estimation performance when correlated to the responsiveness measure.