Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive Analysis of Hip-Hop Dancers’ Motivation for Choreographing from Choreography Components (Body-Thinking-Space-Time)

This study aimed to examine several variables to predict motivation in creating dance choreography, i.e. sense of embodiment, integrative thinking, object and spatial imagery, as well as two types of time perspective (Present Hedonistic and Future). The participants of this study were 34 female Hip-hop dancers and 31 male Hip-hop dancers (n = 65, Mage = 21.08 years old, SDage = 1.674 years old) in Jakarta, the capital city of Indonesia, recruited via convenience sampling. Data were obtained through psychological scales and were analyzed using a multiple linear regression analysis. Results showed that:(1) the adaptive behavior dimension of motivation could be predicted from the sense of embodiment, object and spatial imagery, and time perspective of future and present hedonistic; (2) the adaptive cognition dimension could be predicted from the object and spatial imagery; (3) the maladaptive behavior dimension could be predicted from the object and spatial imagery and present hedonistic time perspective; and (4) the maladaptive cognition dimension could be predicted from integrative thinking, spatial imagery, and present hedonistic time perspective.
Pyroelectric or piezoelectric compensated ferroelectric composites

The matrix and inclusions of 0–3 composites of lead titanate (PT) in polyvinylidenefluoride trifluoroethylene (P(VDF–TrFE)) have been independently poled by a special poling method. The polarization states of both constituents are investigated by the measurement of the dynamic pyroelectric coefficients of the composites in the temperature range of 20–90 °C, within which the copolymer matrix undergoes a ferroelectric-paraelectric phase change. The pyroelectric coefficients of PT and P(VDF–TrFE) have the same sign, while their piezoelectric coefficients have opposite signs. This allows the preparation of composites with enhanced pyroelectric but reduced piezoelectric activity when the matrix and inclusions are polarized in the same direction, or vice versa if the constituents are oppositely polarized. For a PT volume fraction of 27% it was possible to prepare a pyroelectric composite with vanishing piezoelectric activity or a piezoelectric composite with vanishing pyroelectric activity by poling the matrix .
0 An Explicit Method for Inverse Reconstruction of Equivalent Current Dipoles and Quadrupoles Takaaki Nara

The purpose of the neuromagnetic inverse problem is to reconstruct primary neural current from measured MEG data. It is known that this inverse problem is ill-posed: uniqueness of the solution to the inverse problem is not guaranteed without a priori assumptions on the current source (Fokas et al. (2004)), and, even when using the source model that can be uniquely reconstructed, the obtained solution changes very sensitively depending on the noise contained in MEG data. Thus, employment of a stable algorithm is highly required in order that MEG becomes a non-invasive brain monitoring tool with not only high temporal resolution but also high spatial resolution. Basically, conventional methods are categorized into two groups: parametric approaches and imaging approaches. See the detailed list of references in Baillet et al. (2001). The former methods assume that the current source can be represented by a relatively small number of equivalent current dipoles (ECDs). This source model is shown to be uniquely reconstructed from radial MEG data, except the radial component of the dipole moment, when the head is assumed to consist of concentric spheres. The usual algorithm for this source model is the non-linear least-squares method that minimizes the squared error of data and the forward solution. An advantage of this algorithm is that the parametric description allows us the accurate estimation of the center position of the activated region. However, the problems of this algorithm are: 1) it requires an initial solution, 2) it requires an iterative computing of forward solution, 3) it is often trapped by the local minimum of the cost function, which gives a solution far from the true one, 4) estimation of the number of ECDs is difficult, and 5) spatial extent of the source is not considered. The second methods, imaging approaches, assume that there exist current dipoles at the nodes of artificial meshes on the cerebral surface, and solve a system of linear equations for the dipole moments at the fixed positions. An advantage of this method is that it can describe the spatial distribution of the neural current. However, the problems of this algorithm are: 1) the solution is not unique, 2) adding a regularization term often gives a unique but over-smoothed solution, 3) choice of the regularization parameters strongly affects the solution. Recently, a method with the multipolar representation of the source has been developed that incorporates some of the advantages of the above two methods, and has attracted considerable attention (Irimia et al. (2009); Jerbi et al. (2002; 2004); Nara (2008a); Nolte et al. (1997; 2000)). In this model, instead of expressing the current source by an equivalent current dipole, 6
Molecular analysis of transgenic oil palm to detect the presence of transgenes

In order to meet the increasing demand of oleochemical industries, genetic engineering was initiated to modify the fatty acid composition of oil palm with the aim to increase the production of oleic acid to be used as a feedstock. Biolistic approach was used for inserting an antisense palmitoyl-ACP-thioesterase sequence into oil palm tissues to down regulate the activity of palmitoyl-ACP-thioesterase, and increase the accumulation of oleic acid at the expense of palmitic acid. Genomic DNA was isolated from transgenic oil palm and polymerase chain reaction (PCR) amplification of the, selectable marker gene (bar) and gene of interest, antisense palmitoyl-ACP-thioesterase, was successfully carried out. The presence of transgenes was confirmed by DNA sequencing.
The Labour Market Adjustment of Immigrants in New Zealand

This paper uses data from the 1997–2007 New Zealand Income Survey to examine the economic performance of immigrants in New Zealand. Specifically, we use a synthetic cohort approach to examine how employment rates, hourly wages, annual income and occupations for immigrants compare to those for the NZ-born. We estimate the time pattern of adaptation in a semi-parametric manner for immigrants from different birth regions and with different qualifications. We also examine the possible impact of immigrants getting different returns to qualifications. The pattern of entry disadvantage followed by subsequent relative improvement is more pronounced for employment rates than for wage rates or occupational rank. It is also more pronounced for immigrants born in Asia. Outcomes for immigrants from the Pacific Islands never catch up with the NZ-born.
Neural network model as a new powerful tool to describe and predict hatchability of broiler breeder eggs.

Neural Networks offer an alternative to regression analysis for biological modeling. Very little research has been carried out to model fertility using artificial Neural Networks. The aim of this study is evaluation of a Neural Network model to describe relationship between age of broiler breeder and hatchability. Neural Network model was developed with the Matlab program. The predictive quality of the Neural Network model was tested for an external validation set of 10 weeks randomly chosen from 37 weeks. The goodness of model was determined by Mean Square Error (MSE), Mean Absolute Deviation (MAD), Mean Absolute Percentage Error (MAPE) and bias. Forecasting error measurements were based on the difference between the model and the observed values. The squared regression coefficient R was 0.9934. The overall calculated statistical values 2 MSE, MAD, MAPE, bias and R have shown that Neural Network may be used to provide the accurate fit to 2 hatchability of broiler breeder eggs.
Diversification and ecosystem services for conservation agriculture: Outcomes from pastures and integrated crop–livestock systems

Abstract Conservation agricultural systems rely on three principles to enhance ecosystem services: (1) minimizing soil disturbance, (2) maximizing soil surface cover and (3) stimulating biological activity. In this paper, we explore the concept of diversity and its role in maximizing ecosystem services from managed grasslands and integrated agricultural systems (i.e., integrated crop–livestock–forage systems) at the field and farm level. We also examine trade-offs that may be involved in realizing greater ecosystem services. Previous research on livestock production systems, particularly in pastureland, has shown improvements in herbage productivity and reduced weed invasion with increased forage diversity but little response in terms of animal production. Managing forage diversity in pastureland requires new tools to guide the selection and placement of plant mixtures across a farm according to site suitability and the goals of the producer. Integrated agricultural systems embrace the concept of dynamic cropping systems, which incorporates a long-term strategy of annual crop sequencing that optimizes crop and soil use options to attain production, economic and resource conservation goals by using sound ecological management principles. Integrating dynamic cropping systems with livestock production increases the complexity of management, but also creates synergies among system components that may improve resilience and sustainability while fulfilling multiple ecosystem functions. Diversified conservation agricultural systems can sustain crop and livestock production and provide additional ecosystem services such as soil C storage, efficient nutrient cycling and conservation of biodiversity.
The Impact of Internet Pornography Use and Cybersexual Behavior on Child Custody and Visitation

Use of the Internet has been increasingly associated with sexual behaviors. Referred to as online sexual activity, these sexual behaviors include cybersexual behavior and pornography usage. Child custody evaluators are increasingly being asked to assess the impact of these behaviors on child custody and visitation determinations. In this article, we review the Internet-related sexual behaviors of cybersex and pornography usage, which have been associated with an increased risk of compulsive sexual behavior. Gender differences, general effects of pornography, and the effects of cybersex on the family are reviewed. Healthy sexuality and normative sexual behaviors in children are described. Legal issues and case law are comprehensively reviewed.
The design and analysis of sequential clinical trials

This work is a generalization and systematization of the methodology for clinical trials in a Bayesian framework. We have used a purely Bayesian sequential aspect. This article provides a solution fully Bayesian that incorporates the prevision in a global issue. In an intermediate analysis, the predictive inference focuses on all the data, the data available and future data, in this manner, the evaluation of the prevision error is not overvalued as in an approach that does take into account the future observation. We applied the proposed procedures to the Gaussian model and it was possible to reach an explicit form of the various probabilities of errors that the practitioner can make. Thus we can make available to the user an implementable tool and fully Bayesian. The sequential aspect of the treatment adopted in this paper is a particularly innovative element compared to existing technology; it also helps to reduce multiphase studies more ambitious than the existing, which for the patient makes the analysis more ethical since it allows a stoppage of the experience shorter and less tardy. Keywords: Predictive methods-Bayesian analysis-Clinical Trials-p-Value. Ce travail est une generalisation et une systematisation de la methodologie pour les essais cliniques dans un cadre Bayesien. Nous avons pu utiliser un aspect sequentiel purement Bayesien. Cet article permet une solution integralement Bayesienne qui incorpore la prevision dans une problematique globale. Dans une analyse intermediaire, l'inference predictive porte sur l'ensemble des donnees, celles disponibles ainsi que les donnees futures, de cette maniere, l'evaluation de l'erreur de prevision n'est pas surevaluee comme dans une approche qui ne prend en compte que l'observation future. Avec des procedures proposees au modele gaussien, il a ere possible d'aboutir a une forme explicite des diverses probabilites d'erreurs que peut commettre le praticien. Ainsi, nous pouvons proposer a l'utilisateur un outil implementable et completement Bayesien. L'aspect sequentiel du traitement adopte dans cet article est un element particulierement innovateur par rapport a la technologie existante, il permet aussi d'alleger des etudes multi phases plus ambitieuses que l'existantes, ce qui pour le patient rend l'analyse plus ethique puisque cela permet un arret de l'experience moins tardif. Mots Cles: Methodes Predictives-Analyse Bayesienne- Essais Cliniques-p-Valeur.
Adaptación española de la versión reducida multicanal del Perfil de Sensibilidad No Verbal (MiniPONS)

Title: The Spanish version of the short multichannel version of the Profile of Nonverbal Sensitivity (MiniPONS). Abstract: The Spanish version of the MiniPONS (Banziger, Scherer, Hall y Rosenthal, 2011), the short version multichannel of the Profile of Nonver- bal Sensitivity (PONS), is presented. This scale was designed to measure individual differences in the ability to recognize emotions, interpersonal at- titudes, and communicative intentions in nonverbal channels. This short multichannel version is composed of 64 items nonverbal audio and/or vis- ual scenes portrayed by a female in black and white color. The main aim of this study was to analyze the psychometric properties of MiniPONS using a large sample of university students (N = 1154) aged 18-60, this study also examined gender and age differences in nonverbal sensitivity. Normative data, reliability and validity were examined in three studies with 168, 254, and 1154 university students. The Spanish version of the MiniPONS has psychometric properties similar to those of the original version, the MiniPONS had moderate internal consistency and test-retest reliability, and shows reasonable convergent validity through significant correlations with other tests of non-verbal emotion recognition ability. Results revealed an advantage of women in all the conditions of stimulus presentation; women not only process more efficiently unisensory nonverbal information (face, body and voice) but may also be better at integrating emotional expres- sions. We conclude that the MiniPONS Spanish version is an adequate in- strument to be used in measure of socio-nonverbal sensitivity. Limitations and potential applications for research are described.
Climate as possible reproductive barrier in Pinus radiata (D. Don) interspecific hybridisation

Historically, interspecific hybridisation with Pinus radiata D. Don had limited success. The effect of environmental conditions and position of pollination bags in the tree were investigated as possible hybridisation barriers. The study was conducted in a P. radiata seed orchard in the Southern Cape (South Africa). Field data were compared to the climatic conditions at natural and commercial provenances of seven Mesoamerican Pinus species identified as possible hybrid partners. In vitro pollen studies were used to confirm whether interspecific crosses with P. radiata might be feasible within predefined climatic parameters. The temperature ranges for both top and northern side of P. radiata pine trees in the seed orchard was similar to the natural distribution of P. radiata, P. elliottii Engelm. and P. taeda L. in the USA. Results suggested that pollen of P. elliottii and P. taeda might be more suited to result in the successful pollination of P. radiata than the other Mesoamerican pine species tested in this study. Furthermore, the combination of minimum temperature and precipitation also showed a closer correlation to successful hybridisation with P. radiata for both P. elliotii and P. taeda. However, pollen tube elongation studies did not support these results, suggesting that mean temperature might not be the only determining factor of hybridisation success. Three circadian temperature models that mimic natural conditions were developed for Karatara and Sabie (Tweefontein, Witklip and Spitskop). These models will be tested in future in vitro studies to further evaluate temperature fluctuations between day and night regimes as a possible reproductive barrier limiting hybridisation success between P. radiata and other Mesoamerican pine species.
Does Green Technology Espousal Really Matter

There is immense pressure across the world to adopt green technology and green practices in order to reduce the pollution level of urban and cosmopolitan areas. While, the adoption of green technology depends on several social and relative factors, there was so reluctance on the part of many to adopt it. Contextualizing the area of concern to the Tuk-Tuk, drivers in the city of Bangkok, Thailand, a study was conducted to assess the factors influencing adoption of green technology. The study followed qualitative research initially to explore unique factors and then confirmed those factors through qualitative research. Factor analysis was conducted to analyze the reliability of the instruments and data collected from the “tuk tuk” drivers. Almost 176 auto drivers were interviewed (informally) with a structured schedule and data collected. To analyze this data, study followed statistical tools like correlation and regression. The results clearly indicate that socioeconomic factors which are moderated by the green technology factors that influence the “TukTuk” drivers intention ‘not to go green’, even though they have the keen interest towards environmental concerns.
Energy Efficient Routing Protocol of Underwater Sensor Networks in the Deep Ocean

요 약 수중 센서 네트워크에서는 물 속이라는 환경적 특성으로 인해 네트워크 구성에 있어서 많은 어려움이 있다. 무엇보다도 배터리를 지속적으로 공급받거나 충전시킬 수 없기 때문에 배터리 고갈로 인한 센서 노드의 손실이 발생하고 이는 전체 센서 네트워크 연결을 방해하는 요소로 작용하게 된다. 따라서 본 논 문에서는 지역적으로 소스 라우팅 기법을 적용하여 에너지 소비를 줄이는 라우팅 기법을 제안하였다. 먼 저 수중 통신에 사용되는 음파와 에너지와의 관계식을 유도한 뒤에 에너지 소비에 중요하게 작용하는 변 수들을 이끌어 냈다. 깊은 바다에 설치된 센서 네트워크에서는 깊이에 따른 환경 변수들의 값이 달라질 수 있기 때문에 링크 메트릭에 영향을 줄 수 있음을 확인했고 이를 바탕으로 에너지 소비에 미치는 환경 변수들의 영향도와 제안된 라우팅 기법이 에너지 소비에 미치는 영향을 시뮬레이션을 통해 확인하였다.
Phytochemical investigation and in vitro antimicrobial activity of Richardia scabra

The present study was aimed to evaluate the phytochemical screening and antimicrobial activity of the petroleum ether and methanol extracts from the mature leaves of Richardia scabra from India. Disc diffusion method was used to determine the zone inhibition of the tested samples for antibacterial and agar plug method was used to determine the antifungal activity, while the microtube-dilution technique was used to determine the minimum inhibitory concentration. Both extracts showed significant antibacterial and antifungal activities when tested against 10 bacterial and four fungal strains. The minimum inhibitory concentrations of the methanol extract of R. scabra ranged between 12.5100 ? g/mL for bacterial strains. Alkaloids, steroids, flavonoids, fatty acids, terpenoids and simple sugar were detected as phytoconstituents of extracts. To the best of our knowledge, this is the first report against antimicrobial activity of common weed species R. scabra found in India.
Long‐Term Stream Discharge and Suspended‐Sediment Database, Reynolds Creek Experimental Watershed, Idaho, United States

The U.S. Department of Agriculture, Agricultural Research Service, Northwest Watershed Research Center initiated a stream discharge and suspended‐sediment research program at Reynolds Creek Experimental Watershed in the early 1960s. Continuous discharge measurements began at two sites in 1963, at three additional sites in 1964, and at eight additional sites in subsequent years. Contributing areas to these gauging stations range from 1.03 to >23,822 ha, selected to represent the broad range of environmental settings found across northwestern rangelands. Quality‐controlled, validated breakpoint and hourly stream discharge data sets are available for these 13 sites for the period 1963 through 1996 (or for a subset of that time for some sites). Suspended‐sediment data are available for three gauging stations (high elevation, middle elevation, and low elevation). All data are available on the Northwest Watershed Research Center anonymous ftp site (ftp.nwrc.ars.usda.gov).
Teaching mathematics with childrenâ€™s literature in Finland

The Finnish school system will transfer to the new Core Curriculum for Basic Education 2014 in 2016. The new curriculum emphasizes integration of subjects. In Finland, mathematics and the mother tongue are the two subjects which are taught the most and therefore play a significant role in every primary teacherâ€™s weekly routine. Unlike English-speaking countries,Finland lacks childrenâ€™s literature aimed towards use in mathematics teaching. This study aimed to understand teachersâ€™ and teacher-traineesâ€™ points of view on the extent to which they use childrenâ€™s literature in teaching mathematics in primary school and how to efficiently use childrenâ€™s literature in teaching mathematics in primary school. This study was a part of an international study entitled â€˜Teachersâ€™ beliefs on the integration of childrenâ€™s literature in primary mathematics learning and teaching: A comparative studyâ€™, including universities from England, Hong Kong, Australia, and Finland. The aim was to determine teachersâ€™ beliefs concerning integration of childrenâ€™s literature into mathematics teaching and to the extent towhich this benefits learning. Data collection was conducted via web-based questionnaires translated into Finnish from spring to autumn 2015. Mixed methods data analysis showed that teachers/teacher-trainees do not use childrenâ€™s literature in mathematics teaching, but they still recognize various ways to implement it into their teaching. Previous studies on the use of literature in mathematics teaching show that childrenâ€™s literature may provide a meaningful context to develop mathematical skills and foster childrenâ€™s positive attitudes towards mathematics, as the stories in the literature are presented in an engaging and approachable manner.Keywords: Mathematics, childrenâ€™s literature, teaching.
In‐Row Subsoiling and Potassium Placement Effects on Root Growth and Potassium Content of Cotton

One method of correcting K deficiencies in cotton (Gossypium hirsutum L.) is by in-row deep placement of K fertilizer. At present, the mechanisms involved in cotton yield response to deep placement of K have not been elucidated. A field study was conducted in 1990 and 1991 to evaluate root development and dry matter yield of cotton as affected by in-row subsoiling and placement of K fertilizer. The experiment was located in central Alabama on a Norfolk fine sandy loam (fine-loamy, siliceous, thermic Typic Kandiudult). Five treatments were compared: (i) check, without in-row subsoiling; (ii) check, with in-row subsoiling; (iii) 84 kg K ha −1 surface-applied, without in-row subsoiling; (iv) 84 kg K ha −1 surface-applied, with in-row subsoiling; and (v) 84 kg K ha −1 deep-placed, in-row [. ]