Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards an Improved Pilot-Vehicle Interface for Highly Automated Aircraft: Evaluation of the Haptic Flight Control System

The control automation and interaction paradigm (e.g., manual, autopilot, flight management system) used on virtually all large highly automated aircraft has long been an exemplar of breakdowns in human factors and human-centered design. An alternative paradigm is the Haptic Flight Control System (HFCS) that is part of NASA Langley Research Center s Naturalistic Flight Deck Concept. The HFCS uses only stick and throttle for easily and intuitively controlling the actual flight of the aircraft without losing any of the efficiency and operational benefits of the current paradigm. Initial prototypes of the HFCS are being evaluated and this paper describes one such evaluation. In this evaluation we examined claims regarding improved situation awareness, appropriate workload, graceful degradation, and improved pilot acceptance. Twenty-four instrument-rated pilots were instructed to plan and fly four different flights in a fictitious airspace using a moderate fidelity desktop simulation. Three different flight control paradigms were tested: Manual control, Full Automation control, and a simplified version of the HFCS. Dependent variables included both subjective (questionnaire) and objective (SAGAT) measures of situation awareness, workload (NASA-TLX), secondary task performance, time to recognize automation failures, and pilot preference (questionnaire). The results showed a statistically significant advantage for the HFCS in a number of measures. Results that were not statistically significant still favored the HFCS. The results suggest that the HFCS does offer an attractive and viable alternative to the tactical components of today s FMS/autopilot control system. The paper describes further studies that are planned to continue to evaluate the HFCS.
A POWER MODELING

In this paper, we propose a framework for modeling and estimation of the systemlevel power consumption for embedded VLIW (Very Long Instruction Word) architectures. We have developed power macro-models for the main components of the system, namely the core, the register file, instruction and data caches, all of which we have integrated, at several abstraction levels, within a hierarchy of dynamic power estimation engines. Our main goal is to define a system-level simulation framework (i) to profile dynamically the power behavior during software execution and (ii) to provide a break-out of the power contributions due to the single components of the system. We have applied the proposed methodology to an industrial case study: the Lx family of scalable embedded VLIW processors, designed for multimedia and signal processing applications. We have carried out an extensive
Theoretical studies of the hydration reactions of stabilized Criegee intermediates from the ozonolysis of β-pinene

A theoretical study was performed of the reactions of the stabilized Criegee intermediates (sCIs) of β-pinene with H2O and its dimer. Due to the large size of the biogenic sCIs, the transition states of the hydration reactions were explored with the Monte Carlo Transition State Search Program (MCTSSP), which integrated the Monte Carlo sampling technique with a transition state optimization method. The computations were performed with the M06-2X/6-311+G(2d,p) and B3LYP/6-311+G(2d,p) levels of theory. The relative energies showed that the results of the M06-2X functional are in good agreement with the results of the DF-MP2 and CCSD(T) methods. Both the reactions of the β-pinene-sCI with H2O and the β-pinene-sCI with (H2O)2 were found to be strongly exothermic. Activation barrier calculations indicate that the sink reaction with the water dimer may proceed significantly faster than the reaction with the water monomer despite the low concentration of water dimers in the atmosphere. Therefore, the reaction of sCIs with water vapor that includes large water clusters rather than single water molecules should be studied.
Shifting Gender Relations at Khok Phanom Di, Thailand

The values for isotopes of strontium, carbon, and oxygen in human tooth enamel from the prehistoric site of Khok Phanom Di (ca. 2100–1500 BC) in Thailand shed light on human mobility and marital residence during a crucial period of subsistence change. Khok Phanom Di was a sedentary coastal community that apparently relied on hunting, gathering, and fishing in the midst of a transition to rice agriculture in the interior. The results of the isotope analyses indicate female immigration and then a marked shift to local strontium isotope signatures among females accompanied by a clear increase in the prestige of female burials. A possible explanation is a shift in the pattern of exogamy with a concomitant change in gender relations. Observation of a very similar transition at Ban Chiang, in northeastern Thailand, suggests the possibility of a regionwide social transition. In the case of Khok Phanom Di, the increasing role of females in producing high‐quality ceramic vessels may have contributed to the change.
Adaptive Trade Execution using a Grammatical Evolution Approach

Trade execution is concerned with the actual mechanics of buying or selling the desired amount of a financial instrument. Investors wishing to execute large orders face a tradeoff between market impact and opportunity cost. Trade execution strategies are designed to balance out these costs, thereby minimising total trading cost. Despite the importance of optimising the trade execution process, this is difficult to do in practice due to the dynamic nature of markets and due to our imperfect understanding of them. In this paper we adopt a novel approach, combining an evolutionary methodology whereby we evolve high-quality trade execution strategies, with an Agent-based Artificial Stock Market, wherein the evolved strategies are tested. The evolved strategies are found to outperform a series of benchmark strategies and several avenues are suggested for future work.
Elements of Nomography

THAT a straight-edge laid across three coplanar linear scales will serve to express a multilinear functional relation between the indicated scale readings is obvious ; if the linear scales are not uniform, more complex relationships can be dealt with. But the step from these simple ideas to the construction of the alignment charts used increasingly in engineering, industry, business and other fields is considerable, and demands skill in design and draughtsmanship as well as in orderly computation. Profs. Douglass and Adams are anxious that the young nomographer should not try to run before he can walk, that he should realize "how small a portion of his entire problem the theoretical solution represents ". Thus they begin with a painstaking discussion of scales, occupying six chapters, before starting their discussion of the simpler alignment diagrams in a series of nine short chapters, the last of which deals With the hexagonal diagram for the relationElements of Nomography By Prof. Raymond D. Douglass Asst. Prof. Douglas P. Adams. Pp. ix + 209. (New York and London: McGraw-Hill Book Co., Inc., 1947.) 3.50 dollars.
Product lifecycle deficiencies in the Swedish fashion industry-a feasibility study on cloud computing adoption in SMEs

Over the recent decades, technological developments have revolutionized the industry of retail. As a consequence, challenges and advantages have arisen in the supply chain of retailing. One of the more prominent changes include an increasing amount of information, that has driven the development of product lifecycle management systems. For incumbents in the retail industry, product lifecycle systems are widely adapted and developed. On the opposite, for small and medium-sized enterprises (SMEs), limitations in finance and resources restrict the adoption of these. To overcome the limitations, cloud computing has been proposed as a promising solution to product lifecycle management challenges. Current research focuses mainly on the financial benefits of adopting cloud computing to SMEs and on the factors affecting the actual adoption of cloud computing. This study aims to investigate current challenges in the management of product information in retail and the obstacles of adopting cloud computing for a more efficient product information flow in the supply chain. An in-depth analysis is conducted amongst Swedish SMEs in the fashion industry, followed by an investigation of the factors that affect the utilization of cloud computing in these. The results of this study imply that the supply chain of a company in the fashion industry is to a high extent comparable with a net-structure, instead of the more traditional chain alternative. The results imply that the challenges of managing the product information flow in the supply chain occurs both within a company and between entities. The absence of product information format, communication means as well as internal and external information system incompatibilities are main causes for the challenges in product information management. The SMEs in the Swedish fashion industry are to a large extent reluctant towards cloud computing solution as a result of lacking knowledge of technology and possible advantages of the solution. Key-words Supply Chains, Product Lifecycle Management, Retail, E-commerce, Cloud Computing, SME, SaaS Examensarbete INDEK 2017:118 Bristfälligheter i produktlivscykeln i den svenska modeindustrin en förstudie i användingen av molntjänster i SMF
Deep Deformable Patch Metric Learning for Person Re-Identification

The methodology for finding the same individual in a network of cameras must deal with significant changes in appearance caused by variations in illumination, viewing angle, and a person’s pose. Re-identification requires solving two fundamental problems: 1) determining a distance measure between features extracted from different cameras that cope with illumination changes (metric learning) and 2) ensuring that matched features refer to the same body part (correspondence). Most metric learning approaches focus on finding a robust distance measure between bounding box images, neglecting the alignment aspects. In this paper, we propose to learn appearance measures for patches that are combined using deformable models. Learning metrics for patches avoids strong dimensionality reduction, thus keeping more information. Additionally, we allow patches to change their locations, directly addressing the correspondence problem. As patches from different locations may share the same metric, our method effectively multiplies the amount of training data and allows patch metrics to be learned on the smaller amounts of labeled images. Different metric learning approaches (KISSME, XQDA, and LSSL) together with different deformable models (spring constraints and one-to-one matching constraints) are investigated and compared. For describing patches, we propose to learn a deep feature representation with convolutional neural networks, thus obtaining highly effective features for re-identification. We demonstrate that our approach significantly outperforms state-of-the-art methods on multiple data sets.
Structure of walstromite, BaCa2Si3O9, and its relationship to CaSiO3-walstromite and wollastonite-II

Abstract The crystal structure of walstromite, ideally BaCa2Si3O9, was refined with data from single-crystal X-ray diffraction on a natural specimen from the type locality Esquire No. 8 claim, Big Creek, Fresno County, California, U.S.A. It is triclinic, with space group P1̄ and unit-cell parameters a = 6.7335(2), b = 9.6142(3), c = 6.6859(2) Å, α = 69.638(2)°, β = 102.281(2)°, γ = 96.855(2)°, and V = 396.01(2) Å3. The only previously published structure for walstromite was based on photographic film intensity data collected from synthetic BaCa2Si3O9 (Dent Glasser and Glasser 1968). Due to uncertainty in oxygen positions, the reported final R-factor was 0.16. The current refinement yielded an R-factor of 0.030 with the inclusion of anisotropic displacement parameters. Walstromite is a Ba-Ca cyclosilicate characterized by Si3O9 three-membered rings. It is related to the important calcium silicate group of minerals, especially to CaSiO3-walstromite, through the substitution of Ba into one of the three distinct Ca sites. Joswig et al. (2003) suggested that the structural changes caused by the replacement of Ba2+ by Ca2+ are minimal and that walstromite is isomorphic with CaSiO3-walstromite, but topologically different from high-pressure wollastonite-II (Ca3Si3O9). Our study demonstrates that wollastonite-II and CaSiO3-walstromite are identical phases, and are isostructural with walstromite. This isomorphism implies that the high-pressure CaSiO3 phase may be a potential host for large cations in deep Earth environments.
Near-convex decomposition and layering for e ffi cient 3 D printing İ

We introduce a novel divide-and-conquer approach for 3D printing, which provides automatic decomposition and configuration of an input object into print-ready components. Our method improves 3D printing by reducing material consumption, decreasing printing time, and improving fidelity of printed models. An input object is decomposed into a set of components obtained by a near-convex segmentation that minimizes an energy function. Then the configuration phase provides a robust algorithm to pack the components for an efficient print job. Our approach has been tested on both simulated models and real-world printed objects. Our results show that the framework can reduce print time by up to 65% (fused deposition modeling, or FDM) and 36% (stereolithography, or SLA) on average and diminish material consumption by up to 35% (FDM) and 10% (SLA) on consumer printers, while also providing more accurate objects.
Group structure, coding, and memory for digit series

Recognition and recall of digit series were studied as a function of segmental groupings imposed on the series either by the location of pauses or in the naming of successive numerical groups, e.g., 1735 was read to S as "seventeen, thirty-five. " Experiments show that alteration of group structure of the same underlying digit string severely degraded memorial recognition of its repetition and that the normal improvement in immediate recall with repetition was annihilated by changing groupings at each presentation. Although a second presentation of a string with altered groupings is not recognized as a repetition of its earlier occurrence, this event is equivalent to an exact repetition when they are assessed by 5"'s later ability to. recognize an ungrouped version of the underlying string. Repetition with the same groupings establishes one strong trace, whereas repetition with changed groupings establishes two weak traces either of which may mediate recognition of the uncoded version of the string. The "reallocation" hypothesis was proposed as a summary of these results, whereby group structure affects perceptual coding, which determines "where" the trace of the event is stored. This was contrasted to a "bin" hypothesis for serial recall. Experiments to differentiate these involved recall of strings in which only a subsequence or portion recurred. As predicted by the reallocation hypothesis, recall of the recurrent constant chunk improved only when it was located at the beginning of the string.
The Perioperative Effect of Ascorbic Acid on Inflammatory Response in Coronary Artery Bypass Graft Surgery; A Randomized Controlled Trial Coronary Artery Bypass Graft Surgery

Background: Different pharmacological agents may decrease the inflammatory response during cardiac surgery. The aim of this study was to evaluate the effect of ascorbic acid as an antioxidant on inflammatory markers (interleukins 6 and interleukin 8) released during cardiopulmonary bypass. Method: Forty patients scheduled for elective coronary artery bypass grafting surgery, were randomly assigned to two groups. The patients in the case group were given 3 grams ascorbic acid 12-18 hours before operation and 3 grams during CPB initiation. The patients in the control group were given the same amounts of normal saline at similar times. Blood samples were collected 6 hours preoperatively and postoperative serum interleukin 6 and 8 were measured using enzyme-linked immunosorbent assay (ELISA). Result: In both groups CPB caused an increase in IL6 and IL8 plasma concentrations compared with baseline levels, but the pattern of changes at such levels were similar in both groups after receiving ascorbic acid or placebo. Ascorbic acid did not reduce the inflammatory cytokines during CPB. Compared to the placebo, ascorbic acid had no significant effect on hemodynamic parameters such as systolic and diastolic blood pressure, heart rate, arterial blood gases, BUN, Creatinine and WBC and platelet counts. Conclusion: Ascorbic acid has no effect on the reduction of IL6 and IL8 during CPB. Also, it causes no improvement in hemodynamics, blood gas variables, and the outcomes of patients undergoing CABG.
Mild Forms of Alport Syndrome: Hereditary Nephropathy in the Absence of Extra-Renal Features

The type IV collagen nephropathies comprise a spectrum of abnormalities predominantly affecting the glomerular basement membrane (GBM) in the kidney, but also involving other organs such as the ear and eye. Type IV collagen nephropathies result from genetic mutations causing loss or deficiency of type IV collagen synthesis, and have been associated with Alport syndrome at one end of the spectrum, where individuals who are the most severely affected experience end-stage renal failure (ESRF) in their early teen-age years together with hearing loss and vision abnormalities. At the other end of the spectrum type IV collagen nephropathies are associated with mild defects, such as thin basement membrane nephropathy (TBMN) or benign familial hematuria where individuals may experience mild kidney abnormalities involving episodic hematuria but retain relatively normal renal function and show no extra-renal abnormalities. There are six different type IV collagen genes located on multiple chromosomes, and three of these genes (COL4A3, COL4A4, and COL4A5) are associated with X-linked, autosomal recessive or autosomal dominant inheritance patterns of Alport syndrome. In addition the type IV collagen genes are associated with the TBMN phenotype, involving heterozygous mutations of the COL4A3 and COL4A4 genes, with an autosomal dominant pattern of inheritance. The main focus of this chapter is the mild forms of Alport syndrome, and so in the following pages we review mild presentations of Alport syndrome, and illustrate this with a unique New Zealand family segregating mild X-linked Alport syndrome, some of whom display features of TBMN.
parfm: Parametric Frailty Models in R

Frailty models are getting more and more popular to account for overdispersion and/or clustering in survival data. When the form of the baseline hazard is somehow known in advance, the parametric estimation approach can be used advantageously. Nonetheless, there is no unified widely available software that deals with the parametric frailty model. The new parfm package remedies that lack by providing a wide range of parametric frailty models in R. The gamma, inverse Gaussian, and positive stable frailty distributions can be specified, together with five different baseline hazards. Parameter estimation is done by maximising the marginal log-likelihood, with right-censored and possibly left-truncated data. In the multivariate setting, the inverse Gaussian may encounter numerical difficulties with a huge number of events in at least one cluster. The positive stable model shows analogous difficulties but an ad-hoc solution is implemented, whereas the gamma model is very resistant due to the simplicity of its Laplace transform.
ARABIC NAMED ENTITY RECOGNITION

Stemming is the process of reducing words to their stems or roots. Due to the morphological richness and complexity of the Arabic language, stemming is an essential part of most Natural Language Processing (NLP) tasks for this language. In this paper, we study the impact of different stemming approaches on the Named Entity Recognition (NER) task for Arabic and explore the merits, limitations and differences between light stemming and root-extraction methods. Our experiments are evaluated on the standard ANERCorp dataset as well as the AQMAR Arabic Wikipedia Named Entity Corpus.
Genetic Polymorphisms of Mitochondrial Genome D-loop Region in Bakhtiarian Population by PCR-RFLP

The human mitochondrial DNA is a 16569 bp closed, circular molecule that was sequenced and mapped. The D-loop of mitochondrial DNA is a major control site for mtDNA expression and it is important in maternal inheritance. This region in different population is vary and contains essential transcription and replication elements and it could be used for detection of mother inheritance, and human evolution. The aim of present study was to determine the D-loop region polymorphism in Bakhtiarian population in southwest Iran. The blood samples of 168 healthy people of Bakhtiarian population in Iran were collected and total DNA was extracted and then, mtDNA D-loop region was amplified by PCR using specific primers. Restriction fragment length polymorphism (RFLP) was analyzed in PCR products by Hae III and Alu I restriction endonuclease. Amplified fragments for mtDNA D-loop region on 1% agarose gel revealed a fragment of about 1024 bp. The results of this study showed 5 restriction patterns for Hae III enzyme (with 1 heteroplasmy) and 2 restriction patterns for Alu I enzyme (with 2 heteroplasmies) in Bakhtiarian population. The findings showed a low level of genetic polymorphism in D-loop region and it is related to high kinship marriages and low range of migration in Bakhtiarian population. Keywords : mtDNA, D-loop region, RFLP, Polymorphism, Bakhtiarin population, Iran
Techniques of parallelization in Markov chain Monte Carlo methods

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy TECHNIQUES OF PARALLELIZATION IN MARKOV CHAIN MONTE CARLO METHODS By Vikneswaran Gopal August 2011 Chair: George Casella Major: Statistics Parallel computing is at the forefront of statistical research today. The main reason for this is the fact that it is the most scalable solution, both in terms of cost and computational ability, to the large applied problems that are being solved by contemporary researchers. As many of these solutions utilize Markov chain Monte Carlo techniques, here we investigate methods of running these chains in parallel. For a geometrically ergodic Markov chain, we begin by establishing that the most theoretically sound method of running it in parallel is through the use of regeneration, which divides the chain into truly independent blocks, or tours. Then we continue by investigating some operational issues relevant to parallelizing the regenerative method. Using renewal theory, we show that it is possible to use the information from the completed tours to complete the unfinished ones. We also derive a lower bound on the possible speed-up that can be attained by using our parallel algorithm, as compared with the sequential one. Finally, we document and provide a general purpose software package for running a minorized geometrically ergodic Markov chain on a cluster. We demonstrate our parallel methodology and the use of our software package on two problems of general interest hierarchical linear mixed models and topic models. Finally, as an aside, we also investigate running adaptive Markov chains using a pipeline algorithm. We show that it has similar convergence properties to the sequential algorithm, but provides a substantial speed-up in clock-time.