Miracle-dz/UniFAR-FTUs huggingface dataset:
UJI IRITASI AKUT DERMAL PADA HEWAN UJI KELINCI ALBINOTERHADAP SEDIAAN BODY LOTION EKSTRAK KULIT BIJI PINANG(Areca catechu L.)

Ekstrak kulit biji pinang terbukti memiliki aktivitas antioksidan dengan nilai IC50 sebesar 6,11 ppm. Uji keamanan melalui uji iritasi akut dermal perlu dilakukan karena hingga saat ini belum ada data mengenai keamanan ekstrak dan body lotion ekstrak kulit biji pinang. Tujuan penelitian ini adalah untuk mengukur daya efek iritasi pada kulit punggung kelinci yang dihasilkan dari sediaan body lotion ekstrak kulit biji pinang untuk menilai keamanan sediaan body lotion. Metode yang digunakan mengacu pada peraturan KaBPOM RI nomor 7 tahun 2014, yaitu dengan mengoleskan 0,5 gram formula body lotion ekstrak kulit biji pinang pada kulit kelinci, kemudian diamati ada atau tidaknya efek eritema dan udema yang timbul akibat pengaruh percobaan tersebut. Hasil penelitian menunjukkan bahwa ekstrak dan body lotion ekstrak kulit biji pinang jika dilihat dari parameter terbentuknya eritema dan udema skor tertinggi yaitu 1 (hampir tidak dapat dibedakan) dan dilihat dari skor indeks iritasi primer pada seluruh formula skornya yaitu 0. Kesimpulannya yaitu pada seluruh formula sediaan body lotion ekstrak kulit biji pinang setelah diukur menggunakan skor penilaian reaksi pada kulit terbukti aman tanpa menyebabkan efek iritasi pada kulit.
Diffusive emissions of methane and nitrous oxide from a cascade of tropical hydropower reservoirs in Kenya

The damming of rivers has been integral to human population growth, economic development and technological innovation through the provision of a reliable water supply, security from flooding, irriga‐ tion water for agriculture and generation of electricity (Deemer et al., 2016; Snoussi et al., 2007). About 16.7 million reservoirs have been constructed, with a combined storage capacity of ~8,070 km3 and resultant increase in freshwater surface area by more than 305,000 km2, and an associated retention and degradation of carbon (C) (Maavara, Lauerwald, Regnier, & Cappellen, 2016). The increased C retention and processing results in the reservoirs producing ele‐ vated levels of greenhouse gases (GHGs), including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O; Barros et al., 2011; Deemer et al., 2016; Maeck et al., 2013; St. Louis, 2000; Yang et al., 2014). CH4 and N2O are powerful GHGs with global warming potential (GWPs), being 32 and 310 times worse than CO2 over a 100‐year time horizon (IPCC, 2013). GHG emissions from reservoirs result from degradation of submerged biomass, allochtonous inputs and autochtonous production (Kemenes, Forsberg, & Melack, 2007, 2011; Teodoru et al., 2012), and are influenced by the age of a reser‐ voir (Abril et al., 2005G; Barros et al., 2011). Reservoirs (manmade lakes) are currently considered sig‐ nificant contributors of atmospheric GHGs (Barros et al., 2011; Bastviken, Tranvik, Downing, Crill, & Enrich‐Prast, 2011; St. Louis et al., 2000). Raymond et al. (2013), for example, estimated inland Received: 1 February 2018 | Revised: 8 November 2018 | Accepted: 19 March 2019 DOI: 10.1111/lre.12264
Roadmap on all-optical processing

The ability to process optical signals without passing into the electrical domain has always attracted the attention of the research community. Processing photons by photons unfolds new scenarios, in principle allowing for unseen signal processing and computing capabilities. Optical computation can be seen as a large scientific field in which researchers operate, trying to find solutions to their specific needs by different approaches; although the challenges can be substantially different, they are typically addressed using knowledge and technological platforms that are shared across the whole field. This significant know-how can also benefit other scientific communities, providing lateral solutions to their problems, as well as leading to novel applications. The aim of this Roadmap is to provide a broad view of the state-of-the-art in this lively scientific research field and to discuss the advances required to tackle emerging challenges, thanks to contributions authored by experts affiliated to both academic institutions and high-tech industries. The Roadmap is organized so as to put side by side contributions on different aspects of optical processing, aiming to enhance the cross-contamination of ideas between scientists working in three different fields of photonics: optical gates and logical units, high bit-rate signal processing and optical quantum computing. The ultimate intent of this paper is to provide guidance for young scientists as well as providing research-funding institutions and stake holders with a comprehensive overview of perspectives and opportunities offered by this research field.
An overview of fruit and vegetable edible packaging materials

Various edible fruit and vegetable materials, including purees, residues, extracts, and juices, have been investigated in terms of their matrix‐forming properties to produce edible packaging materials to be applied to food products influencing their overall quality and improving the efficiency of synthetic packaging, thus leading to the reduction in amount of synthetic polymers used for each application.
Algorithms and Software for High-Performance Fracture Simulation on GPU Architectures

Author(s): Lim, Rone Kwei | Advisor(s): Petzold, Linda R | Abstract: Computer simulation of fracture in materials with nonlinear mechanical response can be computationally expensive. These simulations often require a large number of degrees of freedom, and the nonlinearity in the problem can pose difficulties when computing solutions. This work focuses on two material models. The first model consists of rigid bricks interacting through nonlinear cohesive springs. Fracture in the material occurs through the rupture of the cohesive springs. The second, more complicated, model consists of deformable elements interacting through nonlinear cohesive springs. In the first model, we assume the bricks are under a quasi-static loading scenario. With this assumption, the problem can be solved using a global Monte Carlo minimization algorithm to minimize the energy of the system. The energy in the system comes from the deformation and rupture of the nonlinear cohesive springs. Since these simulations have a high computational cost, we have developed a GPU-based (Graphics Processing Unit) Monte Carlo minimization algorithm that offers a significant speedup compared to a conventional multithreaded CPU-based algorithm. With the second model, we have dynamic simulations with explicit time discretization. In this case we compute the force, acceleration, velocity, and position explicitly. The force in the system comes from both the deformation of the elements as well as the deformation of the nonlinear cohesive springs. We have developed explicit, CPU-based methods and implicit-explict methods on both CPUs and GPUs. Our implicit-explict GPU-based method achieves substantial performance improvement compared to the explicit, CPU-based method. We present our GPU-based implementation of AES (Advanced Encryption Standard), which is used in the Monte Carlo minimization algorithm to generate random numbers. Our implementation is substantially faster than CPU-based implementation of AES. It is also faster than previous GPU implementations of AES.
A New Logit-Based Gini Coefficient

The Gini coefficient is generally used to measure and summarize inequality over the entire income distribution function (IDF). Unfortunately, it is widely held that the Gini does not detect changes in the tails of the IDF particularly well. This paper introduces a new inequality measure that summarizes inequality well over the middle of the IDF and the tails simultaneously. We adopt an unconventional approach to measure inequality, as will be explained below, that better captures the level of inequality across the entire empirical distribution function, including in the extreme values at the tails.
Path control in limit handling and drifting conditions using State Dependent Riccati Equation technique

Tyres operated at or close to their friction limits show a highly nonlinear motion to force response. This state is called limit handling. The objective of this research is to minimize lateral path tracking error while the tyres operate in limit handling. The State Dependent Riccati Equation technique is employed to develop a feedback-feedforward steering controller. It gives a systematic approach to take into account model nonlinearities such as combined slip tyre characteristics. Furthermore, the controller is implemented in a test vehicle and tested on a low friction skid pad. The controller shows robust path tracking performance even when the rear wheels are operated beyond their friction limits, and large body sideslip prevails.
Constituents, Antioxidant and Antifungal Properties of Jatropha dioica var. dioica

The antioxidant and antifungal activity of n-hexane and ethyl acetate extracts of stems and roots of Jatropha dioica var. dioica, a plant species from the semi-arid regions of Hidalgo, Mexico, were evaluated by the 2,2-diphenyl-1-picrylhydrazyl and 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) free-radical scavenging capacity assays and by growth inhibition of the phytopathogenic fungi, Alternaria alternata, Sclerotium rolfsii, Colletotrichum gloeosporioides, Rhizoctonia solani, and Fusarium oxysporum. The extracts exhibited a significant capacity to capture free radicals and a moderate capacity to inhibit fungal growth. A phytochemical study of these extracts led to the isolation of alkyl esters of acetic and ferulic acid, as well as the known diterpenes citlalitrione, jatrophatrione, jatropholone A, and jatropholone B, which were physically and spectroscopically characterized. These metabolites could be responsible for the observed antioxidant and fungicide activities of the extracts.
PLAYER GAME DATA MINING FOR PLAYER CLASSIFICATION

Analyzing and understanding the standard of players in virtual environments has been an activity increasingly used by digital game developers and producers. Players are the main reason that games are developed and knowing the main characteristics for each of your player is fundamental for game developers have a successful product. In the case of Massively Multiplayer Online Role Playing Games (“MMORPG”), the types of players vary, and, by classifying players’ behaviors, it is possible for developers to implement changes which satisfy players in targeted manners which may impact their level of interest and amount of time spent in the game environment. This study suggests that it is possible to identify and classify players via gameplay analysis by using conso lidated theories such as Bartle's archetypes or Marczewski’s types of players, which group players with the k-means algorithm. Below, is presented a dedicated section describing the Game Analytics processes and a session with the results obtained from the analysis of a specific guild from World of Warcraft.
Enhanced SO2 and Rhodamine B Removal by Blending Coke-Making Waste Benzene Residue (BR) for Pelletized Activated Coke (PAC) Production and Mechanisms

An economical and efficient way to prepare pelletized activated coke (PAC) is to utilize coking byproduct (coke powder and benzene residue (BR)). In this work, carbon precursors were prepared at 600 °C by adding different amounts of BR (2, 4, 6, 8%) to the mixture of blending coals and coke powder, followed by activation of steam to obtain PAC with high surface and hierarchical porous structure. It was found that BR could adjust PAC’s pore structure and surface chemistry and further influence its adsorption performance. The specific surface area of the PAC modified by the addition of 4% BR is up to 782 m2/g, which is 10.3% higher than that of the unmodified PAC. The regulation mechanism of BR on PAC’s physicochemical structure was proposed. An obvious improvement of SO2 adsorption was also observed. The sulfur capacity of PAC modified by 8% BR is 58.7 mg/g, which is 17.4% higher than that of the unmodified PAC. Moreover, PAC modified by the addition of 4% BR shows that its rhodamine B (RhB) adsorption cap.
Degradation of microplastics by formulated bacterial consortium isolated from mangrove areas in Peninsular Malaysia / Iffa Syamimi Rosli

Regardless of its importance as an ecosystem, coastal mangroves have historically been favoured as dumping sites for numerous waste, including plastics. This study was aimed to investigate the ability of bacteria isolated from mangrove areas to degrade selected microplastics in laboratory condition. Physico-chemical parameters such as dissolve oxygen (DO), pH, temperature, salinity and biochemical oxygen demand (BOD) of water samples collected from mangrove areas were analyzed, to correlate with the microbial abundance in the areas. Potential degrading bacteria microbial consortium was inoculated in Bushnell Haas broth containing selected microplastics (sole carbon source). The medium was incubated in a shaker at 28°C for 30 days and the weight reduction of microplastics was recorded. In total, there are 38 species of bacteria isolated from mangroves sediment. It was found that microbial abundance at Matang Mangrove, Perak recorded the highest number of bacteria with 3.7 x 107 CFU/ml. Positive correlation was shown between microbial abundance with DO and BOD. After 30 days of exposure, polyethylene was reduced by 27.9%, polyethylene terephtalate by 24%, polypropylene by 19.5% and polystyrene by 15%. The change in the peak of FTIR confirmed the degradation potential of microplastics by these bacteria. The results revealed that the consortia isolated from mangrove sediment have the potential to degrade selected microplastic, thus can be used to bioremediate microplastics in a mangrove environment ecosystem.
Procedural Environmental Injustice in ‘Europe’s Greenest City’: A Case Study into the Felling of Sheffield’s Street Trees

With around two million trees within its boundaries, the city of Sheffield, England, is known as the ‘greenest city in Europe’. Of these, 36,000 are ‘street trees’, defined as those planted on pavements and other public rights of way. As of 2012, however, a private contractor was awarded a £2.2 billion contract by Sheffield City Council to upgrade the city’s roads over a 25-year period. This required the felling of over 6000 street trees by the end of August 2017. By 2015, this had sparked such widespread public opposition that the felling programme missed its 2017 deadline. For protesters, the central point of contention was and continues to be the seemingly indiscriminate felling of healthy trees. This article examines the specific forms of harm precipitating local public involvement in such opposition. In doing so, it explains the substantive injustices associated with the felling of street trees before focusing on the underpinning forms of procedural environmental injustice that have allowed for their ongoing production. This contributes to wider green criminological literature by demonstrating how public participation in decision-making is crucial for the attainment of environmental justice.
A Super-Resolution Sparse Aperture ISAR Sensors Imaging Algorithm via the MUSIC Technique

The conventional range-Doppler (RD) technique uses fast Fourier transformation (FFT) to generate focused images. However, the spectrum of FFT has high sidelobes and wide main lobes and the resolution of RD is limited by the radar parameters so that the RD method cannot generate super-resolution images especially with sparse aperture (SA) data. A super-resolution SA inverse synthetic aperture radar (SA-ISAR) imaging algorithm via the multiple signal classification (MUSIC) technique is proposed in this paper. The proposal uses the MUSIC algorithm to estimate the location and employs the least-squares technique to calculate the intensity of each scatterer. Then, the scatterers can be precisely depicted in the images without the interference of sidelobes and wide main lobes. The resolution of the proposal depends less on the radar parameters, and it can be further improved by using a smaller search step. Experiments obtained by processing of simulated and raw data demonstrate that the proposal can efficiently generate super-resolution images with full aperture (FA) or SA data.
Deep Learning for Assessing Banks’ Distress from News and Numerical Financial Data

In this paper we focus our attention on the exploitation of the information contained in financial news to enhance the performance of a classifier of bank distress. Such information should be analyzed and inserted into the predictive model in the most efficient way and this task deals with the issues related to text analysis and specifically to the analysis of news media. Among the different models proposed for such purpose, we investigate one of the possible deep learning approaches, based on a doc2vec representation of the textual data, a kind of neural network able to map the sequence of words contained within a text onto a reduced latent semantic space. Afterwards, a second supervised neural network is trained combining news data with standard financial figures to classify banks whether in distressed or tranquil states. Indeed, the final aim is not only the improvement of the predictive performance of the classifier but also to assess the importance of news data in the classification process. Does news data really bring more useful information not contained in standard financial variables? Our results seem to confirm such hypothesis.
A SÍNDROME DE BURNOUT EM DOCENTES: ESTUDO EPIDEMIOLÓGICO EM ESCOLA DA REDE PÚBLICA MUNICIPAL DE ENSINO DE LAJEDO, PERNAMBUCO

A Sindrome de Burnout tem sido reputada como um problema social de grande relevância visto as consequencias que seu desenvolvimento implica para as conjecturas sociais e organizacionais, alem dela ocasionar uma deterioracao na saude dos professores, acarretando graves perturbacoes a saude fisica e mental destes trabalhadores. Ela afeta o contexto educacional e intervem na obtencao de conquistas pedagogicas e no processo de ensino-aprendizagem, com serias repercussoes para o desenvolvimento social. Assim, este estudo teve como objetivos avaliar a prevalencia desta Sindrome em professores de uma escola da Rede Publica de Ensino do municipio de Lajedo, PE, buscando analisar a correlacoes entre esta Sindrome e as variaveis socio-demograficas e laborais. Para tanto, delineou-se um protocolo de pesquisa quali-quantitativo de carater descritivo, a ser desenvolvido na referida escola, com vistas a aplicacao de questionario socio-demografico e laboral e do MBI-ED, que avalia a Sindrome de Burnout . Os resultados evidenciaram que 64,28% dos professores apresentaram alto nivel de exaustao emocional, 28,57% apresentaram alto nivel de despersonalizacao e 85,71% apresentaram baixa realizacao pessoal, considerando que estas dimensoes coexistiram em um unico individuo. As variaveis socio-demograficas e laborais associaram-se as dimensoes do Burnout . Os resultados do estudo visam suscitar a altercacao, para que a sociedade entenda e reconheca essa realidade, e, assim, possa buscar a verificacao de casos da doenca, mediante a construcao de politicas de atencao a saude do professor, para assim intervir sobre as variaveis laborais e psicossoais inerentes aoadoecimento ocupacional de modo a proporcionar qualidade de vida pessoal e laboral aos docentes. Palavras-chave: Sindrome de Burnout. Professores. Saude Ocupacional.
Combating low completion rates in Nordic welfare states: policy design in Norway and Sweden

ABSTRACT Low completion rate in upper secondary education is seen as a big problem in the Nordic countries. School failure has shown to dramatically increase the risks for unemployment and labour market exclusion with severe consequences for both society and the young person. This paper analyses national policy measures to combat low upper secondary education completion rates in Norway and Sweden, often regarded as representing a social democratic welfare model and a universalistic transition regime. The analysis demonstrates that although this issue has received extensive political attention, the two countries display somewhat different policy designs. The Norwegian approach is proactive and targeted while the Swedish policy is more general and directed towards reforming organisational structures in upper-secondary education. In sum, our analysis demonstrates that national governance structures shape and influence policy design in the context of an increasingly diversified Nordic social democratic welfare state regime.
PUTTING PROCESS INTO PRACTICE: OPERATIONALISING PARTICIPATORY EXTENSION

This paper aims to stimulate discussion on the operationalisation of learning process approaches to community development and rural extension. It attempts to systematise a participatory extension approach into process phases and steps, which allow extension agents to understand the process dynamics, while preventing a blueprint implementation. The systematisation, in combination with an intensive training learning process over one to two years, is seen as the foundation for the development of field staff. The cornerstones of this approach are social mobilisation which includes local organisational development, action planning, experiential learning through trying out new ideas and options and evaluation of the action by the people involved in the process. Innovation is seen as a product of social negotiation and the spreading of innovation as a product of good effective social organisation and communication at community level. Therefore the extension intervention is geared toward strengthening mechanisms for joint learning and sharing of experiences and communication among farmers and between farmers and outsiders. The immediate impact is a more efficient development and spreading of technologies, but secondary, non-agricultural impacts such as improved self-governance, are equally important.
Impact of Foreign Direct Investment on Greenhouse Gas Emissions in Agriculture of Developing Countries

This research analyses the impact of foreign direct investment on greenhouse gas emissions in the agriculture sector of developing countries. Panel data from 63 developing countries for the period 2005 to 2014 was used to estimate a dynamic econometric model by applying a system‐generalised method of moments. The empirical results indicate a positive impact of foreign direct investment in agriculture on the carbon dioxide equivalent emission intensity in developing countries. The results provide weak support for the pollution havens hypothesis and imply the importance of coordination between foreign direct investment and environmental policies.
Personal response systems: Is a success in learning just a click away?

As a current and popular instructional technology, Personal Response Systems (PRS, or "clickers") are seen by many educators as a path to increased learner-instructor interactivity (especially in large-class settings) that produces learning outcomes superior to those achieved in technology-lean classrooms. While this expectation may appear reasonable at first consideration, the result is certainly not a given. This article describes some current uses of the PRS technology, relates those uses to student expectations, and raises implementation and course-planning issues.