nils-herrmann/clean_scirepeval huggingface dataset:
Path Integral Monte Carlo Determination of the Fourth Order Virial Coefficient for a Unitary Two Component Fermi Gas with Zero Range Interactions.
Venue: Physical review letters

The unitary equal mass Fermi gas with zero range interactions constitutes a paradigmatic model system that is relevant to atomic, condensed matter, nuclear, particle, and astrophysics. This work determines the fourth order virial coefficient b_{4} of such a strongly interacting Fermi gas using a customized ab initio path integral Monte Carlo (PIMC) algorithm. In contrast to earlier theoretical results, which disagreed on the sign and magnitude of b_{4} our b_{4} agrees within error bars with the experimentally determined value, thereby resolving an ongoing literature debate. Utilizing a trap regulator, our PIMC approach determines the fourth order virial coefficient by directly sampling the partition function. An on the fly antisymmetrization avoids the Thomas collapse and, combined with the use of the exact two body zero range propagator, establishes an efficient general means to treat small Fermi systems with zero range interactions.
Gambaran Sistem Pelaporan Near Miss, Unsafe Act dan Unsafe Condition di Proyek Mass Rapid Transit Jakarta (MRTJ) Tokyu WIKA Joint Operation Tahun 2016

Tokyu WIKA Joint Operation (TWJO) is a collaboration between Tokyu Construction Co. Ltd and DSU I WIKA company works in construction Mass Rapid Transit Jakarta (MRTJ) Project Surface Section CP 101 and CP102. Cases of occupational accidents that occurred in construction sector covering all types of project work and cause serious harm to the company. Reporting all undesired incidents such as near miss is the most important aspect of any safety programs. The more near miss are reported, the more opportunities to investigating, identifying and correcting the root causes before serious loss occur. Near miss, unsafe act and unsafe condition reporting system in TWJO wasn't filled to the overall near miss reporting system (NEMIR System) This research was began in August 2015 until June 2016 to find out a description of near miss, unsafe act and unsafe condition reporting system in TWJO MRTJ Project 2016. The system approach (input, process, output) and NEMIR System theory were used to determined near miss, unsafe act and unsafe condition reporting system in the company consisting of material, human resources, method, implementation, monitoring, evaluation and then to get a report. This research is a qualitative research by collecting primary data through the interview with informants, observation and then collecting secondary data through review of documents. Data validation was using triangulation sources and methods. The result showed that near miss, unsafe act and unsafe condition reporting system in TWJO MRTJ Project 2016 hasn't done well in implementation with NEMIR System. There are some lack on each stage of the input process output system (standard document is not maximized,there hasn't been amnesty and the reports haven't been recorded and full documented. The recommendations are given to SHE Division and Top Management of company to make SOP related to reporting and unsafe act reporting form on the standard, applying the punishment and reward related to reporting activities. And recommendation for consulting firm is to improve monitoring and observation, checking and re evaluting SHE company reports.
PRODUTIVIDADE DE SORGO SACARINO EM FUNCAO DE POPULACOES DE PLANTAS E DE EPOCAS DE CORTE

Este trabalho objetivou avaliar o efeito da populacao de plantas e epoca de corte sobre a producao de sorgo sacarino. O experimento foi instalado em novembro de 2012, em Lavras MG. O delineamento experimental foi o de blocos casualizados, com 3 repeticoes, em esquema fatorial 4x4 (4 populacoes: 70, 100, 130 e 160 mil plantas ha 1; 4 epocas de corte: 0 dias apos o florescimento (DAF) 10 DAF, 20 DAF e maturidade fisiologica aos 40 DAF. A partir da analise do caldo sacarino da cultivar BRS 506, foram avaliadas as caracteristicas industriais: volume de caldo (VC) solidos soluveis totais (obrix) acucares redutores totais (ART) e toneladas de brix por hectare (TBH) O aumento das populacoes propicia o maior VC e nao afetou as demais variaveis. As caracteristicas industriais sao influenciadas pelas epocas de corte. O brix e a ART apresentaram crescimento linear com o aumento do periodo apos o florescimento para o corte de plantas. A maior produtividade (VC e TBH) foi obtida proxima aos 17 e 14 DAF, respectivamente, favorecendo maior producao de etanol nesses estadios. Palavras chaves: sorghum bicolor, brix, biocombustivel. EFFECT OF PLANT POPULATION AND HARVEST TIME ON SORGHUM SACCHARINE YIELD  The present work aimed to evaluate the sorghum saccharine cultivar BRS 506 regarding industrial characteristics related to yield and production of ethanol related to plant population and harvest time. The experiment was carried out in November 2012, in Lavras MG. A randomized blocks experimental design was used, with three replications, in a 4x4 factorial scheme  4 cutting seasons according to flowering: 0 days after flowering (DAF) 10 DAF, 20 DAF and physiological maturity 40 DAF] Industrial characteristics such as juice volume (JV) total soluble solid (0brix) total reducing sugars (TRS) and tones of brix per hectare (TBH) were evaluated after the analysis of saccharine juice of the BRS 506. Increased population provided higher JV. The industrial characteristics were affected by the period of cutting. The cutting at 40 DAF provided the highest 0brix and TRS. JV and TBH reached the highest values at 17 and 14 DAF, respectively, periods showing the highest production of ethanol.  Sorghum bicolor, production of ethanol, brix, biofuel.
INFLUENCIA DE POPULACOES, DE EPOCAS DE SEMEADURA E DE CORTE NA PRODUTIVIDADE DO SORGO SACARINO BRS 506

RESUMO O sorgo sacarino e uma excelente opcao para a producao de etanol sob os pontos de vista agronomico e industrial. Possui alta producao de massa verde e colmos suculentos com acucares fermentaveis. O objetivo foi avaliar o sorgo sacarino quanto a caracteristicas industriais relacionadas a producao de etanol em funcao de epocas de semeadura na regiao de Lavras, MG. Foram instalados cinco experimentos em intervalos de 21 dias a partir de 01/11/2012, no CDTCA UFLA, em Lavras, MG. O delineamento experimental foi blocos casualizados, em esquema de parcelas subdivididas, com cinco repeticoes. Para as cinco epocas de semeaduras, as parcelas foram formadas por duas populacoes de plantas (100 e 130 mil plantas ha 1) e as subparcelas por duas epocas de corte colheita das plantas. Utilizou se a variedade de sorgo sacarino BRS 506. As variaveis avaliadas na colheita foram: materia verde; volume de caldo; solidos soluveis totais (obrix) e toneladas de brix por hectare (TBH) As epocas de semeadura, as populacoes e as epocas de corte influenciaram o rendimento de materia verde, o volume de caldo e as TBH. A semeadura realizada em 22 de novembro na epoca de corte aos 20 DAF e na populacao de 130 mil plantas ha 1 proporcionou incremento na maioria das variaveis. Palavras chave: Sorghum bicolor, producao de etanol, brix, biocombustiveis. EFFECTS OF PLANT POPULATION, SOWING DATE AND HARVEST TIME ON PRODUCTIVITY OF SACCHARINE SORGHUM BRS 506 ABSTRACT Sweet sorghum is an excellent option under the agronomic and industrial points of view, presenting succulent stems with fermentable sugars and high green matter production. The objective of the present study was to evaluate saccharine sorghum regarding the industrial characteristics related to the production of ethanol and different periods of sowing in Lavras MG region. Five experiments were done in intervals of 21 days, in the Centre for Technological and Scientific Development in Agriculture UFLA, Lavras MG. A randomized blocks experimental design was used with five replications. The sweetness of juice of the variety BRS 506 was assessed in a Split Plot design, with two populations (100 and 130 thousands plants per hectares) and two different periods of cutting (20 and 40 DAF) At harvest the variables evaluated were: green matter, broth volume, total soluble solids (obrix) and tons of Brix per hectare (TBH) Sowing date, population and cutting season affected the yield of green matter, volume of broth and TBH. Sowing at 22 November, cutting at 20 DAF and population of 130,000 plants ha 1 caused increase in most characteristics.  sorghum bicolor, production of ethanol, brix, biofuels.
Adieu features? End to end speech emotion recognition using a deep convolutional recurrent network
Venue: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The automatic recognition of spontaneous emotions from speech is a challenging task. On the one hand, acoustic features need to be robust enough to capture the emotional content for various styles of speaking, and while on the other, machine learning algorithms need to be insensitive to outliers while being able to model the context. Whereas the latter has been tackled by the use of Long Short Term Memory (LSTM) networks, the former is still under very active investigations, even though more than a decade of research has provided a large set of acoustic descriptors. In this paper, we propose a solution to the problem of `context aware' emotional relevant feature extraction, by combining Convolutional Neural Networks (CNNs) with LSTM networks, in order to automatically learn the best representation of the speech signal directly from the raw time representation. In this novel work on the so called end to end speech emotion recognition, we show that the use of the proposed topology significantly outperforms the traditional approaches based on signal processing techniques for the prediction of spontaneous and natural emotions on the RECOLA database.
Cultivating the emotional intelligence of instructional coaches

The purpose of this paper is to explore whether the emotional intelligence (EI) of instructional coaches could be improved with training, as well as how instructional coaches perceived the relevance of EI to their success as coaches.  This mixed method study was conducted in two phases. The quantitative phase examined pre and post test EI scores of 90 instructional coaches who completed a 20 hour coach training intervention designed to improve the coaching skills of educators working with teachers to improve their instruction. Of the nine instructional coaches interviewed for the qualitative phase, four had increased their EI scores while five had decreased. The study took place primarily in the USA, with two participants in the survey portion from countries outside the USA.  Statistically significant increases for EI were found in the full sample. Among the 44 instructional coaches who enrolled on the training course voluntarily, there were significant improvements in total EI, both the interpersonal and interpersonal composites, and all five subscales (i.e. self awareness, self regulation, motivation, empathy, and social skills) The mean EI scored for the 46 coaches who were required to take the training did not increase. The themes that emerged from the interviews were increased awareness, improved listening, enhanced empathy, a focus on strengths, and the role of EI in success as instructional coaches.  Future research might examine the duration, intensity, and format of training that successfully increases EI scores. For example, comparing face to face formats with distance formats, such as the one used in this study, might yield interesting findings. This study would have been strengthened by the inclusion of a control group that received no training.  Both quantitative and qualitative analyses provided evidence that EI can be improved through training; thus, such training could be incorporated into initial preparation and ongoing professional development for educators. The differential outcomes for those who volunteered for the training as opposed to those who were required to take the training as part of their jobs highlights the important of the adult learning principle of choice. Thus, the element of choice should be taken into consideration in planning professional development.  The use of instructional coaches is an important form of professional development, designed to bring about improved teacher practices. This study provides both quantitative and qualitative evidence of the value of coach training, including statistically significant gains on a validated measure of EI. This study makes an important contribution because prior research on the question of whether EI can be taught has been largely anecdotal.
Health Care in South Africa.
Venue: Neurologic clinics

The South African health care system is embedded in a background of racial subordination and sexual violence against girls and women and of hierarchical male authority from youth to adulthood. Low wages, unemployment, urban overcrowding, inadequate sanitation, malnutrition, crime, and violence have contributed to economic and health inequality. With more health insured whites than blacks and the proportion of gross national product spent on health care slowly increasing, two thirds of health expenditures have been consumed by the private sector at a time when the cost of health insurance has risen to more than 3 times the rate of the consumer price index.
Does the development of executive functioning in infants born preterm benefit from maternal directiveness?
Venue: Early human development

Problems in early development of executive functioning may underlie the vulnerability and individual variability of infants born preterm for behavioral and learning problems. Parenting behaviors may aggravate or temper this increased risk for dysfunction. This study assessed how maternal parenting behaviors predict individual differences in early development of executive functioning in infants born preterm, and whether this varies with infant temperament, i.e. self regulation.  Participants were 76 infants born preterm =36weeks' gestation and <2500g birth weight) and their mothers. Maternal sensitive responsiveness and directiveness were observed during a mother infant interaction situation at 7, 10 and 14months corrected age. At the same ages, executive functioning was measured using the A not B task. An infant self regulation questionnaire (IBQ R) was completed by mothers at 7months.  After controlling for perinatal risk factors, Multivariate Latent Growth Modeling showed that consistently higher levels of maternal directiveness predicted a stronger increase in A not B performance, which did not vary with infant self regulation. No relationship between maternal sensitive responsiveness and development in A not B performance in infants born preterm was found.  These results suggest that preterm infants' early executive functioning development in the first year of life may benefit from a more and consistent directive approach by their mothers. These findings have important implications for early intervention programs aimed at facilitating preterm infants' development.
A gateway framework for System of Systems
Venue: IECON 2016 42nd Annual Conference of the IEEE Industrial Electronics Society

During the European project Local4Global a control and optimization algorithm aimed to systems of systems was designed. Along with the algorithm, a gateway like software was developed in order to host it. This highly adaptable and extensible framework enables access and control to different device and entities that compose the system it is deployed on. Use of standards and predefined interfaces ensure the interoperability with external entities, physical devices and even other gateway instances. This paper explains how this generic software can be used to build custom made controllers, designed to be easy to configure, adaptable and scalable.
A feature extraction method based on HLMD and MFE for bearing clearance fault of reciprocating compressor

According to the nonlinearity, nonstationarity and multi component coupling characteristics of reciprocating compressor vibration signal, a feature extraction method based on hermite local mean decomposition (HLMD) and multiscale fuzzy entropy (MFE) is proposed for the diagnosis of reciprocating compressor oversized bearing clearance faults. Firstly, aiming at the strong nonstationary characteristic of vibration signal, a novel HLMD algorithm was given by using the monotone piecewise cubic hermite interpolation (MPCHI) instead of cubic spline interpolation (CSI) to construct the envelopes. Secondly, HLMD was performed on the vibration signals in each state and a series of PF components are produced, and the highlighted PF components which contain the main information of fault state were chosen with the correlation coefficient. Thirdly, MFE of the selected PF components were calculated to form the eigenvectors matrix, and the eigenvectors which have the best divisibility were extracted based on the average euclidean distances of each scale factor. Finally, four bearing clearance fault states were extracted by the proposed method, and taken SVM as a pattern classifier, the faults were diagnosed accurately. Furthermore, the comparison of recognition results with other three feature extraction methods demonstrates the superiority of this method.
Analysis of middle bearing failure in rotor jet engine using tip timing and tip clearance techniques

The reported problem is the failure of the middle bearing in an aircraft rotor engine. Tip timing and tip clearance and variance analyses are carried out on a compressor rotor blade in the seventh stage above the middle bearing. The experimental analyses concern both an aircraft engine with a middle bearing in good working order and an engine with a damaged middle bearing. A numerical analysis of seventh stage blade free vibration is conducted to explain the experimental results. This appears to be an effective method of predicting middle bearing failure. The results show that variance first increases in the initial stages of bearing failure, but then starts to decrease and stabilize, and then again decrease shortly before complete bearing failure.
Seeing "the Dress" in the Right Light: Perceived Colors and Inferred Light Sources
Venue: Perception

In the well known "dress" photograph, people either see the dress as blue with black stripes or as white with golden stripes. We suggest that the perception of colors is guided by the scene interpretation and the inferred positions of light sources. We tested this hypothesis in two online studies using color matching to estimate the colors observers see, while controlling for individual differences in gray point bias and color discrimination. Study 1 demonstrates that the interpretation of the dress corresponds to differences in perceived colors. Moreover, people who perceive the dress as blue and black are two times more likely to consider the light source as frontal, than those who see the white and gold dress. The inferred light sources, in turn, depend on the circadian changes in ambient light. The interpretation of the scene background as a wall or a mirror is consistent with the perceived colors as well. Study 2 shows that matching provides reliable results on differing devices and replicates the findings on scene interpretation and light sources. Additionally, we show that participants' environmental lighting conditions are an important cue for perceiving the dress colors. The exact mechanisms of how environmental lighting and circadian changes influence the perceived colors of the dress deserve further investigation.
Consumer acceptance of food crops developed by genome editing
Venue: Plant Cell Reports

One of the major problems regarding consumer acceptance of genetically modified organisms (GMOs) is the possibility that their transgenes could have adverse effects on the environment and/or human health. Genome editing, represented by the CRISPR/Cas9 system, can efficiently achieve transgene free gene modifications and is anticipated to generate a wide spectrum of plants. However, the public attitude against GMOs suggests that people will initially be unlikely to accept these plants. We herein explored the bottlenecks of consumer acceptance of transgene free food crops developed by genome editing and made some recommendations. People should not pursue a zero risk bias regarding such crops. Developers are encouraged to produce cultivars with a trait that would satisfy consumer needs. Moreover, they should carefully investigate off target mutations in resultant plants and initially refrain from agricultural use of multiplex genome editing for better risk benefit communication. The government must consider their regulatory status and establish appropriate regulations if necessary. The government also should foster communication between the public and developers. If people are informed of the benefits of genome editing mediated plant breeding and trust in the relevant regulations, and if careful risk benefit communication and sincere considerations for the right to know approach are guaranteed, then such transgene free crops could gradually be integrated into society.
Social Identity and Peace in the Modern Middle East: Insights from the United Arab Emirates

Social identities in the United Arab Emirates are complex and vary in nationality, religion, culture, socio economic status, and multiple other dimensions. Intergroup interaction is a part of daily life that shapes and is shaped by identity. This chapter focuses on the role of social identity in conflict and peace at multiple levels, first considering ways that the Emirati national identity has been created and protected, before exploring how identification with other Gulf and Arab nations has created overlapping patterns of international conflict and cooperation. We also explore the multicultural social hierarchy within the resident population of the UAE, and the role that stability, permeability, and legitimacy of the social system plays in regulating individuals' reactions to their place in the social system. Finally, we consider how culture interacts with identity to create complex multicultural individuals whose goals, motives, and interests can shift dramatically along with shifts in self categorization.
Compact convolutional neural network transfer learning for small scale image classification
Venue: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Transfer learning methods have demonstrated state of the art performance on various small scale image classification tasks. This is generally achieved by exploiting the information from an ImageNet convolution neural network (ImageNet CNN) However, the transferred CNN model is generally with high computational complexity and storage requirement. It raises the issue for real world applications, especially for some portable devices like phones and tablets without high performance GPUs. Several approximation methods have been proposed to reduce the complexity by reconstructing the linear or non linear filters (responses) in convolutional layers with a series of small ones. In this paper, we present a compact CNN transfer learning method for small scale image classification. Specifically, it can be decomposed into fine tuning and joint learning stages. In fine tuning stage, a high performance target CNN is trained by transferring information from the ImageNet CNN. In joint learning stage, a compact target CNN is optimized based on ground truth labels, jointly with the predictions of the high performance target CNN. The experimental results on CIFAR 10 and MIT Indoor Scene demonstrate the effectiveness and efficiency of our proposed method.