nils-herrmann/clean_scirepeval huggingface dataset:
Integrating Physical and Cognitive Ergonomics

Ranjana K. Mehta Department of Environmental and Occupational Health, Texas A&M University, 1266 TAMU, College Station, TX 77843, USA The field of human factors and ergonomics (HF/E) since its inception, has been instrumental in developing methods, tools, and solutions when considering cognitive and physical systems independently. However, every human action is orchestrated by mind (and brain) and body interactions. To comprehensively understand how humans (from the neck up and down) interact with their environments, it is necessary to employ approaches that effectively identify, assess, and facilitate development of controls and remedial measures that address these mind body interactions. The study of physical ergonomics is concerned with human anatomic, anthropometric, physiological, and biomechanical characteristics as they relate to physical work systems. The study of cognitive human factors is concerned with mental processes, such as perception, memory, reasoning, and motor response, as they affect interactions among humans and other elements of a system. Most work systems involve some level of mental or cognitive processing in addition to physical efforts, so that ideally physical and cognitive demands should be considered together when examining human behavior at work. High cognitive demands can influence physical capabilities, and physical demands can influence cognitive processing. So, while HF/E is a highly multidisciplinary field that considers humans relative to some aspect of their work environment, efforts are needed to integrate physical and cognitive subsystems during evaluation and (re)design when considering the human in the context of the work situation. The goal of this special issue is to contribute to the growing body of scientific literature on integrating physical and cognitive ergonomics that brings researchers closer as an interdisciplinary HF/E field. The breadth of topics covered includes studies that focus on quantifying human behavior when interacting with physical and cognitive subsystems, applied research that proposes predictive tools to assess multidimensional work demands, theoretical positions and new methodologies that challenge how we currently examine these interactions, and finally, evidence that highlights business outcomes of the interplay between physical and cognitive processes. Mental workload, fatigue, and stress, stemming from an overloaded cognitive subsystem, have been shown consistently to affect several aspects of human physical capabilities. For example, cognitive distractors and social stress can alter biomechanical strategies during controlled processes such as upper extremity and low back exertions Marras, Davis, Heaney, Maronitis, Allread, 2000; Mehta Agnew, 2011; Mehta, Nussbaum, Agnew, 2012) as Corresponding author.
Multiobjective portfolio optimization of ARMA GARCH time series based on experimental designs
Venue: Comput. Oper. Res.

The modern portfolio theory has been trying to determine how an investor might allocate assets among the possible investments options. Since the seminal contribution provided by Harry Markowitz's theory of portfolio selection, several other tools and procedures have been proposed to deal with return risk trade off. Furthermore, diversification across sources of returns and risks based on entropy indexes is another pivotal aspect in portfolio management. An efficient approach to model these portfolio properties with the proportion of each asset can be obtained according to mixture design of experiments. Desirability method can be applied to optimize this nonlinear multiobjective problem. Nevertheless, a tuning procedure is required, since preference articulation parameters in desirability algorithm are unknown a priori. As a result, a computer aided desirability tuning method is proposed to find an optimal portfolio with time series of returns and risks modeled by ARMA GARCH models. To assess the proposal feasibility, the method is tested with a heteroskedastic dataset formed by weekly world crude oil spot prices and returns. Computer aided desirability tuning was able to enhance the global desirability by 79% in relation to the result with no tuning procedure. Display Omitted ARMA GARCH models mean and variance of heteroskedastic time series.MDE defines asset proportions for portfolio optimization.Entropy function improves portfolio diversity.RSM sets the best weight and importance for desirability routine.Optimal portfolio is selected after computer aided desirability tuning method.
Three dimensional photoacoustic reconstruction for sparse array using compressed sensing based on k space algorithm
Venue: 2016 IEEE International Ultrasonics Symposium (IUS)

This paper proposes a fast calculation method for three dimensional photoacoustic reconstruction using compressed sensing (CS) It is required for CS to solve photoacoustic forward propagation model from laser induced initial pressure repeatedly. The proposed method can reduce calculation cost of the forward propagation calculation by using integration over a sphere surface on k space representation of initial pressure. Simulation analysis confirmed the validity of the proposed method and the feasibility of CS for three dimensional photoacoustic reconstruction.
Evaluation of Antifungal and Antibacterial Activity and Analysis of Bioactive Phytochemical Compounds of Cinnamomum Zeylanicum (Cinnamon Bark) using Gas Chromatography Mass Spectrometry

Phytochemicals are chemical compounds often referred to as secondary metabolites. Thirty nine bioactive phytochemical compounds were identified in the methanolic extract of Cinnamon bark. The identification of phytochemical compounds is based on the peak area, retention time molecular weight and molecular formula. GC MS analysis of Cinnamomum zeylanicum revealed the existence of the 6 Oxa bicyclo[3.1.0]hexan 3 one, Benzaldehyde, Cyclohexene,4isopropenyl 1 methoxymethoxymethyl, Benzoic acid methyl ester, Benzaldehyde dimethyl acetal, Benzenepropanal, Benzylidenemalonaldehyde, 3 Phenylpropanol, Cinnamaldehyde, (E) 2 Propen 1 ol,3 phenyl, 9 Methoxybicyclo[6.1.0]nona 2,4,6 triene 1,3 Bis(cinnamoyloxymethyl) adamantine, Alfa. Copaene, Naphthalene 1,2,3,5,6,7,8,8a octahydro 1,8a dimethyl 7 (1 methyl) Cis 2 Methoxycinnamic acid, Bicyclo[3.1.1]hept 2 ene,2,6 dimethyl 6 (4 methyl 3 pentenyl) Trans 2 Hydroxycinnamic acid methyl ester, y Muurolene, s Guaiene, Cadala 1(10),3,8 triene, Isolongifolene,4,5,9,10 dehydro, Cubenol, Tau Muurolol, A Cadinol Spiro[tricyclo[4.4.0.0(5.9) decane 10.2oxirane],1 methyl 4 isoprol, 6 Isopropenyl 4,8q dimethyl 1,2,3,5,6,7,8,8aoctahydronaphthalen, Ethyl9,9 difomylnona 2,4,6,8 tetraenoate, Trans 13 Octadecenoic acid, Tributyl acetylcitrate, 9,12,15 Octadecatrienoic acid ,2,3 dihydroxypropyl ester, 9 Octadecenamide, 17.alfa. 21s 28,30 Bisnorhopane, 17.alfa. 21s 28,30 Bisnorhopane, Androstan 3 one,cyclic 1,2ethanediyl mercaptole (5a) (4H)4a,5,6,7,8,8a Hexahydrobenzopyran 5 one 3 carboxamide,2, 4H Cyclopropa[5',6']benz [1',2',7,8]azuleno[5,6]oxiren 4 one,8,8a, (22S) 21 Acetoxy 6a,11sdihydroxy 16a,17a propylmethylenediox, a Tocopherol,O methyl and Stigmasterol. Cinnamomum zeylanicum contain chemical constitutions which may be useful for various herbal formulation as anti inflammatory, analgesic, antipyretic, cardiac tonic and antiasthamatic. Cinnamomum zeylanicum was highly active against Aspergillus flavus (6.16+ 0.42) Methanolic extract of bioactive compounds of Cinnamomum zeylanicum was assayed for in vitro antibacterial activity against Pseudomonas aerogenosa, Escherichia coli, Proteus mirabilis, Staphylococcus aureus and Klebsiella pneumonia by using the diffusion method in agar. The zone of inhibition were compared with different standard antibiotics. The diameters of inhibition zones ranged from 6.12+ 0.52 to 0.39+ 0.17 mm for all treatments.
COMPOSICAO FITOQUIMICA E ACAO FUNGICIDA DE EXTRATOS BRUTOS DE Cinnamomum zeylanicum SOBRE Quambalaria eucalypti

Given the importance of natural products for alternative control of plant diseases, the aim of this work was to determine the chemical composition and evaluate the fungitoxic effects of extracts of Cinnamomum zeylanicum on isolated Q1 and Q2 pathogen Quambalaria eucalypti Crude extracts obtained by percolation with hexane solvent method (EBH) ethyl acetate (EBAcoEt) and methanol (EBM) The phytochemical analysis were based on the conditions set out in the Manual for Phytochemistry and Chromatographic Analysis of Plant Extracts, resulting in the identification of reducing sugars, phenols, tannins, steroids, triterpenoids, alkaloids for EBH and EBAcoEt extracts. EBM extract distinguished by the presence of anthraquinones, espumidica saponins and flavonoids. To evaluate the effect of extracts on inhibition of mycelial growth of phytopathogenic fungus, we used concentrations of 5, 10 and 20 mg.mL 1 crude extracts of cinnamon incorporated into PDA culture medium. The results showed statistically significant differences compared to the control (control) the higher the concentration of the crude extract of C. zeylanicum most used was their antifungal activity against isolates Quambalaria eucalypti. In Q1 isolated extract, more inhibited mycelial growth was the EBM and isolated Q2 EBAcoEt.  cinnamon; alternative control; plant pathogens.
Intel(r) Software Guard Extensions (Intel(r) SGX) Support for Dynamic Memory Management Inside an Enclave
Venue: HASP 2016

We introduce Intel(r) Software Guard Extensions (Intel(r) SGX) SGX2 which extends the SGX instruction set to include dynamic memory management support for enclaves. Intel(r) SGX is a subset of the Intel Architecture Instruction Set  SGX1 allows an application developer to build a trusted environment and execute inside that space. However SGX1 imposes limitations regarding memory commitment and reuse of enclave memory. The software developer is required to allocate all memory at enclave instantiation. This paper describes new instructions and programming models to extend support for dynamic memory management inside an enclave.
MEMTUNE: Dynamic Memory Management for In Memory Data Analytic Platforms
Venue: 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Memory is a crucial resource for big data processing frameworks such as Spark and M3R, where the memory is used both for computation and for caching intermediate storage data. Consequently, optimizing memory is the key to extracting high performance. The extant approach is to statically split the memory for computation and caching based on workload profiling. This approach is unable to capture the varying workload characteristics and dynamic memory demands. Another factor that affects caching efficiency is the choice of data placement and eviction policy. The extant LRU policy is oblivious of task scheduling information from the analytic frameworks, and thus can lead to lost optimization opportunities. In this paper, we address the above issues by designing MEMTUNE, a dynamic memory manager for in memory data analytics. MEMTUNE dynamically tunes computation/caching memory partitions at runtime based on workload memory demand and in memory data cache needs. Moreover, if needed, the scheduling information from the analytic framework is leveraged to evict data that will not be needed in the near future. Finally, MEMTUNE also supports task level data prefetching with a configurable window size to more effectively overlap computation with I/O. Our experiments show that MEMTUNE improves memory utilization, yields an overall performance gain of up to 46% and achieves cache hit ratio of up to 41% compared to standard Spark.
COMPARISON OF 3D REALITY CAPTURE TECHNOLOGIES FOR THE SURVEY OF STONE WALLS

The maintenance of the external fabric of historic buildings constitutes a large portion of overall building life cycle costs.Advanced reality capture and data processing technologies have the potential to transform existing survey practice,providing surveyors with objective data pertaining to building fabric, in a more rapid (frequent) safe and cost effectivemanner. In this paper, we present a unique evaluation of several Terrestrial Laser Scanning (TLS) and photogrammetric(PG) systems that assess their relative strengths for the survey of stone walls. The assessment is conducted using anhistoric building selected for its representativeness of form, fabric and condition. The work considers performance interms of data accuracy and precision, data completeness, and process efficiency. The results show that, while TLSprovides good geometric data to generate accurate and valuable 3D models, the quality of PG reconstructions can bealso be sufficient in such contexts. And considering the relatively low cost and portability of modern digital camerascompared to laser scanners, photogrammetry can constitute a realistic alternative to TLS. In addition, mounting a cameraon a UAV could further solve access issues, preventing the need for any additional infrastructure (e.g. scaffolding) whichwould be required when employing TLS. However, a lesson drawn from this work is that effective acquisition ofphotogrammetric data requires careful planning to select the appropriate camera settings and picture density (andlocations) to ensure accurate and reliable photogrammetric reconstruction. This process may be referred to as: Planningfor Photogrammetry (P4P)
Counting Mapping Class group orbits on hyperbolic surfaces

Let $S_{g,n} be a surface of genus $g with $n$ marked points. Let $X$ be a complete hyperbolic metric on $S_{g,n} with $n$ cusps. Every isotopy class \gamma] of a closed curve \gamma \in \pi_{1}(S_{g,n} contains a unique closed geodesic on $X$ Let \ell_{\gamma}(X) denote the hyperbolic length of the geodesic representative of \gamma$ on $X$ In this paper, we study the asymptotic growth of the lengths of closed curves of a fixed topological type on $S_{g,n} As an application, one can obtain the asymptotics of the growth of $s^{k}_{X}(L) the number of closed curves of length \leq L$ on $X$ with at most $k$ self intersections. We also discuss properties of random pants decomposition of large length on $X$ Both these results are based on ergodic properties of the earthquake flow on a natural bundle over the moduli space \mathcal{M}_{g,n} of hyperbolic surfaces of genus $g$ with $n$ cusps.
Scanning gate imaging in confined geometries

This article reports on tunable electron backscattering investigated with the biased tip of a scanning force microscope. Using a channel defined by a pair of Schottky gates, the branched electron flow of ballistic electrons injected from a quantum point contact is guided by potentials of a tunable height well below the Fermi energy. The transition from injection into an open two dimensional electron gas to a strongly confined channel exhibits three experimentally distinct regimes: one in which branches spread unrestrictedly, one in which branches are confined but the background conductance is affected very little, and one where the branches have disappeared and the conductance is strongly modified. Classical trajectory based simulations explain these regimes at the microscopic level. These experiments allow us to understand under which conditions branches observed in scanning gate experiments do or do not reflect the flow of electrons.
The negotiation burden of institutional interactions: non state organizations and the international negotiations on forests

The participation of non state actors in international politics has been investigated since the creation of international institutions. Yet, the rules, principles and norms of global governance are no longer discussed in single isolated institutions. Rather, with the proliferation of international regimes and organizations, international issues are now negotiated in a context of institutional interactions known as 'regime complexes' This poses new questions, in particular on the negotiation burden that these new processes place on international actors. To answer this question, this contribution compares non state participation in both contexts (single regimes and regime complexes) using the international forest negotiations as a case study. It uses quantitative methods to measure the negotiation burden of single regimes and compare it with the negotiation burden of regime complexes. The negotiation burden of single regimes is found to be insignificant, political interest being the major motivation for participation, while the negotiation burden of regime complexes is found to be real, demanding a certain type of material and organizational resources in order for non state actors to participate. Yet a certain diversity of non state representation is maintained within regime complexes, non governmental organizations being dominant with respect to business groups.
Epidemiology, Etiology, and Treatment of Isolated Cleft Palate
Venue: Front. Physiol.

Isolated cleft palate (CPO) is the rarest form of oral clefting. The incidence of CPO varies substantially by geography from 1.3 to 25.3 per 10,000 live births, with the highest rates in British Columbia, Canada and the lowest rates in Nigeria, Africa. Stratified by ethnicity/race, the highest rates of CPO are observed in non Hispanic Whites and the lowest in Africans; nevertheless, rates of CPO are consistently higher in females compared to males. Approximately fifty percent of cases born with cleft palate occur as part of a known genetic syndrome or with another malformation (e.g. congenital heart defects) and the other half occur as solitary defects, referred to often as non syndromic clefts. The etiology of CPO is multifactorial involving genetic and environmental risk factors. Several animal models have yielded insight into the molecular pathways responsible for proper closure of the palate, including the BMP, TGF b, and SHH signaling pathways. In terms of environmental exposures, only maternal tobacco smoke has been found to be strongly associated with CPO. Some studies have suggested that maternal glucocorticoid exposure may also be important. Clearly, there is a need for larger epidemiologic studies to further investigate both genetic and environmental risk factors and gene environment interactions. In terms of treatment, there is a need for long term comprehensive care including surgical, dental and speech pathology. Overall, five main themes emerge as critical in advancing research: (1) monitoring of the occurrence of CPO (capacity building) (2) detailed phenotyping of the severity (biology) (3) understanding of the genetic and environmental risk factors (primary prevention) (4) access to early detection and multidisciplinary treatment (clinical services) and (5) understanding predictors of recurrence and possible interventions among families with a child with CPO (secondary prevention)
The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals
Venue: Nature Genetics

To dissect the genetic architecture of blood pressure and assess effects on target organ damage, we analyzed 128,272 SNPs from targeted and genome wide arrays in 201,529 individuals of European ancestry, and genotypes from an additional 140,886 individuals were used for validation. We identified 66 blood pressure associated loci, of which 17 were new; 15 harbored multiple distinct association signals. The 66 index SNPs were enriched for cis regulatory elements, particularly in vascular endothelial cells, consistent with a primary role in blood pressure control through modulation of vascular tone across multiple tissues. The 66 index SNPs combined in a risk score showed comparable effects in 64,421 individuals of non European descent. The 66 SNP blood pressure risk score was significantly associated with target organ damage in multiple tissues but with minor effects in the kidney. Our findings expand current knowledge of blood pressure related pathways and highlight tissues beyond the classical renal system in blood pressure regulation.
Application of machine learning to construction injury prediction

The needs to ground construction safety related decisions under uncertainty on knowledge extracted from objective, empirical data are pressing. Although construction research has considered machine learning (ML) for more than two decades, it had yet to be applied to safety concerns. We applied two state of the art ML models, Random Forest (RF) and Stochastic Gradient Tree Boosting (SGTB) to a data set of carefully featured attributes and categorical safety outcomes, extracted from a large pool of textual construction injury reports via a highly accurate Natural Language Processing (NLP) tool developed by past research. The models can predict injury type, energy type, and body part with high skill (0.236
A fast video inpainting algorithm based on state matching
Venue: 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP BMEI)

In the past video restoration algorithms using exemplar based method, the exhaustive strategy of searching for the best matching patch is always used, which makes the computation very heavy. Moreover the accumulated matching error easily leads the wrong information spread. So a novel fast video inpainting algorithm is proposed in this paper. When restoring the damaged background, the information is directly replicated to fill in the damaged region from the constructed panoramic background image. When restoring the damaged foreground, it seeks a best state matching frame by comparing the adjacent running foreground state of the damaged frame, and searches the best matching patch in this frame. Meanwhile, the algorithm also improves the way of searching exemplar patch, principle of matching cost and way of confidence term updating. Experimental results show that the proposed algorithm is suitable for video with stationary background and periodical running foreground, having better efficiency and restoration effects.
Social Viewing, Bullet Screen, and User Experience: A First Look
Venue: 2016 49th Hawaii International Conference on System Sciences (HICSS)

This paper examines the viewing experience of a new social experiment that combines videos with text messaging technology called Bullet Screen. Our results show that this technology provides a more engaging viewing experience than a traditional online video. Our results also show that bullet screen can increase viewers' attention to content. These results have important implications for social media websites, advertisers, and companies that use video ads to promote their products and services.