Miracle-dz/UniFAR-FTUs huggingface dataset:
Morphological and Tissue Culture Studies of Platycerium coronarium, a Rare Ornamental Fern Species from Malaysia

Abstract The genus Platycerium consists of about 18 species, commonly found in tropical and subtropical forests. Among the different species, Platycerium coronarium, P. platylobium, P. ridleyi and P. wallichi are found in Peninsular Malaysia, and P. coronarium is considered the most attractive ornamentally. Platycerium coronarium is an epiphytic fern, bears a gigantic morphology and is native to tropical areas of South America, Africa, Southeast Asia, Australia and New Guinea. Platycerium coronarium nests on the upper branches of the tallest trees in the forest. Due to having a uniquely-shaped fronds, they are famous for ornamental purposes, where they can be found in gardens, especially in tropical regions. Detailed morphological studies of this species are lacking. In the present work, data are reported aiming at defining both the macro- and micro-morphological characteristics of intact and in vitro P. coronarium. Data from scanning electron microscopy (SEM) revealed similar ultrastructures of both types of leaves, i.e., the presence of multicellular trichomes on both the abaxial and adaxial surfaces. Sunken stomata were also detected on the abaxial surface of the leaves. In addition, tissue culture studies were done to obtain an efficient regeneration system as well as to serve as an approach for conservation. Successful regeneration of sporophytes from gametophyte explants were observed in MS medium supplemented with 1.0–1.5 mg/l GA3 and 30 g/l sucrose, at pH 5.8 under 16 hours light and 8 hours dark.
HOMEWORK ADHERENCE IN PROLONGED EXPOSURE FOR CHRONIC POSTTRAUMATIC STRESS DISORDER by STEPHANIE

By STEPHANIE MARIE KELLER Overview: Across psychological disorders, homework adherence is related to improved cognitive behavioral therapy outcome (e.g., Beutler et al., 2004; Kazantzis et al., 2010). Patients with PTSD may have difficulty engaging in between-session activities, given that avoidance of trauma-reminders is a core symptom of the disorder (Scott & Stradling, 1997). Despite homework assignments being a primary component of Prolonged Exposure (PE), little is known regarding the role of adherence in treatment outcome. Method: 84 individuals (76.6% female; 53.6% Caucasian) with a primary diagnosis of PTSD received up to 10 weekly sessions of PE. Self-reported PTSD symptoms (PSS-SR) and ratings of imaginal and in vivo homework completion (Usefulness of Techniques Inventory) were assessed at each session. Patient beliefs were assessed at pre-treatment via self-report (Dysfunctional Attitudes Scale) and in-session via a PE-adapted observer rated coding system (CHANGE; Hayes et al., 2006). Results: Time-lagged mixed regression models indicated that higher levels of in vivo homework adherence and higher perceptions of helpfulness of in vivo and imaginal homework assignments preceded reductions in PTSD symptoms. Higher levels of imaginal homework adherence did not precede reductions in PTSD symptoms. Hierarchical modeling suggested that patients with co-occurring major depression (MDD) reported lower levels of in vivo homework adherence during PE and rated their in vivo homework as less helpful than those without
Automated categorisation of e-journals by synonym analysis of n-grams

Automatic keyword or keyphrase extraction is concerned with assigning keyphrases to documents based on words from within the document. Previous studies have shown that in a significant number of cases author-supplied keywords are not appropriate for the document to which they are attached. This can either be because they represent what the author believes a paper is about not what it actually is, or because they include keyphrases which are more classificatory than explanatory e.g., “University of Poppleton” instead of “Knowledge Discovery in Databases”. Thus, there is a need for a system that can generate an appropriate and diverse range of keyphrases that reflect the document. This paper proposes two possible solutions that examine the synonyms of words and phrases in the document to find the underlying themes, and presents these as appropriate keyphrases. Using three different freely available thesauri, the work undertaken examines two different methods of producing keywords and compares the outcomes across multiple strands in the timeline. The primary method explores taking n-grams of the source document phrases, and examining the synonyms of these, while the secondary considers grouping outputs by their synonyms. The experiments undertaken show the primary method produces good results and that the secondary method produces both good results and potential for future work. In addition, the different qualities of the thesauri are examined and it is concluded that the more entries in a thesaurus, the better it is likely to perform. The age of the thesaurus or the size of each entry does not correlate to performance.
Santos Basin Wind Patterns for Planning Offshore Pre-Salt Activities

Santos Basin contains the major hub of oil and gas exploration in Brazil. Consequently, knowledge of ocean surface winds in this area is very important for operational and planning activities. In addition, the importance of renewable energies is nowadays unquestionable, specifically in the case of the wind energy. In this paper, a data clustering technique is applied in order to obtain representative local wind patterns in Santos Basin. Reanalysis data from the National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) have been used in this study.
DOES HIGHER SHARE IN TOTAL TRADE STIMULATE REGIONAL LABOR MARKET OUTCOMES? THE CASE OF TURKEY

Standard trade theory relies on the assumption of long-run full-employment, thus implying that although trade can affect wage rates and change the sectoral distribution of employment, it has no effect on the overall level of employment. In the empirical literature, it is a controversial debate that trade openness is good for employment in the long-run. If so, the further question is about the poorer regions in the developing countries which are fully open to trade. Turkey is one of these countries experienced trade liberalization three decades ago. Although its regions' connection to markets is effective due to limited lack of access to key inputs and low transport costs, their shares in total trade and labor market outcomes strikingly vary depending on the density of local economic activities. While trade volumes and employment creation capacities of some regions are quite high, relevant indicators for some others are disappointing. The aim of this paper is to explore the relation between regional trade volumes and major labor market indicators. To this end, empirical analyses are designed to test the hypothesis that more regional trade volume leads to more employment opportunities and stimulates the job creation capacities of local labor markets. The data sets used in the analyses are from Turkish Statistical Institute, one being trade statistics by province which consists of export and import volume data for 81 provinces. The other set contains individual-based micro data from Household Labor Force Survey and both of these sets are at NUTS level 2, analyzing Turkey with 26 statistical regions. Time-interval for the analyses is from the year 2004 to 2008. Since the nature of labor market data set is cross-sectional and the dependent variable created is a dummy, the methodology used in the study is based on the probit regression. The preliminary results of the paper shows that higher the trade volumes of regions generally improve the indicators of local labor markets in Turkey.
Finite Frequency H ∞ Filtering for Time-Delayed Singularly Perturbed Systems

This paper investigates the problem of finite frequency (FF) H ∞ filtering for time-delayed singularly perturbed systems. Our attention is focused on designing filters guaranteeing asymptotic stability and FF H ∞ disturbance attenuation level of the filtering error system. By the generalized Kalman-Yakubovich-Popov (KYP) lemma, the existence conditions of FF H ∞ filters are obtained in terms of solving an optimization problem, which is delay-independent. The main contribution of this paper is that systematic methods are proposed for designing H ∞ filters for delayed singularly perturbed systems.
Genotypic covariations of traits underlying sorghum stem biomass production and quality and their regulations by water availability: Insight from studies at organ and tissue levels

Sweet and biomass sorghum are expected to contribute increasingly to bioenergy production. Better understanding the impacts of the genotypic and environmental variabilities on biomass component traits and their properties is essential to optimize energy yields. This study aimed to evaluate whether traits contributing to stem biomass growth and biochemical composition at different biological scales (co)vary with the genotype and the water status in sorghum. Height genotypes were studied over two years in field conditions in southern France under two water treatments (well watered vs. 25 days’ dry down during stem elongation). Main stem internode number, size, (non)structural carbohydrate, and lignin contents were measured at the end of the stress period and/or at final harvest, together with biochemical and histological analyses of the youngest expanded internode. The tallest genotypes showed the highest stem dry weights and lignin contents. Stem (structural) biomass density was positively correlated with lignin content, particularly in internode parenchyma. Stem soluble sugar and lignin contents were inversely proportional across genotypes and water conditions. Genotypes contrasted for drought sensitivity and recovery capacity of stem growth and biochemical composition. The length and cell wall deposition of internodes expanding under water deficit were reduced and did not recover, these responses being weakly correlated. Genotypic variability was pointed out in the growth recovery of internodes expanding under re‐watered conditions. According to the observed genotypic variability and the absence of antagonistic correlations between the responses of the different traits to water availability, it is suggested that biomass sorghum varieties optimizing their responses to water availability in terms of growth and cell wall deposition can be developed for different bioenergy targets.
To cover or not to cover: Alexei Navalny in Russian media

This article analyses the discourse about the opposition politician Alexei Navalny in Russian media. Navalny has been actively engaging with his audience through social media and online platforms; however, some media continue to ignore the politician, practically not covering his activities. The article analyses the intensity and sentiment of the media coverage of Navalny based on data from Medialogia. It is concluded that the media in general do cover the politician’s activities and attempts to deliberately ignore news about him are only made by TV stations. However, news about Navalny is often negative. While blogs offer a more positive outlook on the politician’s activities than do the other types of media that the article considers, the majority of the coverage of Navalny in Russian media is of a critical nature. In addition, an analysis of positive and negative news in various types of media suggests that the way the politician’s activities are covered primarily involves not information about what he did or did not do but rather the various media interpretations of these actions.
A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine

To realize the fault diagnosis of bearing effectively, this paper presents a novel bearing fault diagnosis method based on Gaussian restricted Boltzmann machine (Gaussian RBM). Vibration signals are firstly resampled to the same equivalent speed. Subsequently, the envelope spectrums of the resampled data are used directly as the feature vectors to represent the fault types of bearing. Finally, in order to deal with the high-dimensional feature vectors based on envelope spectrum, a classifier model based on Gaussian RBM is applied. Gaussian RBM has the ability to provide a closed-form representation of the distribution underlying the training data, and it is very convenient for modeling high-dimensional real-valued data. Experiments on 10 different data sets verify the performance of the proposed method. The superiority of Gaussian RBM classifier is also confirmed by comparing with other classifiers, such as extreme learning machine, support vector machine, and deep belief network. The robustness of the proposed method is also studied in this paper. It can be concluded that the proposed method can realize the bearing fault diagnosis accurately and effectively.
Gender role attitudes among Nigerian students : egalitarian or traditional?

Expanding research acknowledged that men and women are shaped by society in that their perceptions of whom they are and how they behave is not solely because of an individual. This study looks at how society influences the process of our gender identity and how it dictates the role we are expected to play according to our gender. This research was conducted for the purpose of developing a scaling tool to determine the attitudes of Nigerian college students towards gender roles. College student‟s attitudes should first be determined in order to change this traditional view to gender and to achieve a more egalitarian view. Quasi-experimental design was used for this study; the research sample was comprised of one college‟s students chosen using sizeproportional stratified random sampling method. A total of 100 students (44 males and 56 females) were included in the sample. Data collected was via self-administered questionnaires. The Gender Roles Attitude Scale (GRAS) contains eight items (Traditional gender roles) which was used to gather results filled in by the participants. Statistical significant differences were determined among all survey items. The results findings that were obtained showed that the survey is a valid and reliable instrument for determining college students‟ attitudes towards gender role. The results indicated that Nigerian female students studying in Ireland had more egalitarian gender role attitudes than the male respondents and there was no significant difference between female students‟ hours of work and that of the male students. In conclusion, these results suggest that both culture and society is a factor in changing people‟s gender role attitudes or that education facilitates this change.
Effect of the Amount of Time Online on Cyberbullying Perpetration in Middle School Students and the Moderating Role of Justice Sensitivity

This study investigated the impact of the amount of time online on cyberbullying perpetration of middle school students as well as examined if the justice sensitivity (victim sensitivity and penetrator sensitivity) moderated the relationship between the amount of time online and cyberbullying perpetration. The participants in this study were 236 students (120 boys and 116 girls) from two middle schools located in Seoul and Incheon. The levels of cyberbullying perpetration and justice sensitivity were measured by scales developed by Campfield (2008) and Schmitt et al. (2010), respectively. The participants were also asked to report on how much time they spent online a day. The data were analyzed via descriptive statistics, hierarchical regression, and procedures mentioned by Baron and Kenny (1986). The results revealed that the more the students used the Internet, the more likely they were to become a cyberbullying perpetrator. However, such a tendency was observed only for the students who had a higher level of victim sensitivity, and not for those with a lower level of victim sensitivity. This suggested that victim sensitivity moderated the effect of the amount of time spent on the Internet on cyberbullying perpetration; but, penetrator sensitivity had no moderating effect.
Watch out - the powerusers are coming

: This paper analyses and discusses the future challenges that tertiary educational institutions may expect to face when the traditional organisational forms and norms of the industrial society meet the first generation of natural born ICT using students who have lived their whole life with ICT and the ever changing norms and demands of the unfolding information society. In order to analyse the premise for these challenges the paper applies a long-term perspective on the generations and organisations affected by the transmission. A key to gain insight to the future students and the nature of the encounter is research aimed at the present primary school. Additionally a key to the organisational perspective is identification of organisations’ readiness for change and the potential barriers for adaptation to the information society and the ´ power users´. Based on the analysis, the paper comprises an outline of institutional obstacles inhibiting a successful encounter and argues the necessity of integrating top-down and bottom-up initiatives in future organisations. Thus, the process of change demands awareness and support from both the authorities empowered to make grants and from the management of the educational organisations, and the paper explicitly focuses on collaborating teaching staffs as a tool for improving both individual and organisational adaptability.
New Perspectives in the Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease: Novel Uses of Biomarkers

Criteria for the diagnosis of Alzheimer’s disease were established in 1984 by the National Institute of Neurological and the Alzheimer’s Disease and Related Disorders Association (ADRDA). Common‐ ly used since their implementation, these criteria are becoming obsolete for everyday practice, and a review is being claimed. Three groups of experts consisting of re‐ nowned experts from the National Institute on Aging (NIA) and the Alzheimer’s Association proposed a set of recommendations to modify the criteria in this field of research. Two notable differences from the initial criteria were included: the incorpo‐ ration of biomarkers and the formalization of different disease stages in the diagnos‐ tic criteria. From now on, mild cognitive impairment is incorporated in the diagnosis as another stage of dementia. However, the new criteria are still under revision and are currently of use for research purposes with the aim to get the definitive modification for the clinical criteria. This chapter presents the main developments in research concerning Alzheimer’s disease and mild cognitive impairment to define these new research criteria.
Recent PRCI Guidelines for Pipelines Exposed to Landslide and Ground Subsidence Hazards

This paper summarizes key considerations in guidelines published in early 2009 that were developed through a Pipeline Research Council International, Inc. (PRCI) supported by PRCI, the Pipeline Hazardous Materials and Safety Administration of the Department of Transportation, and the California Energy Commission. Past practices for pipelines, as well as almost all other construction projects, have focused on avoidance of areas that have a reasonable probability of experiencing geohazards (defined as large ground displacements that may arise from slope failure, slope creep, earthquake triggered slope movement, and subsidence). This approach has been generally successful when there are limited restrictions on selecting a pipeline alignment. Avoiding potential geohazards is becoming increasingly difficult because of the inability to obtain landowner agreements, the lack of space in common utility corridors, environmental restrictions, incompatibility with existing land use, and/or public opposition. In route corridors where geohazards cannot be avoided, the potential risks associated with these hazards must be managed. Pipeline integrity management strategies to mitigate geohazards consist of: (1) design measures that improve the pipeline resistance to the geohazard, (2) measures that limit or control the severity of the geohazard, and (3) operational programs to monitor ground displacement or pipeline response and identify conditions that may warrant further engineering investigations or mitigation activities. Identifying the most appropriate mitigation strategy needs to be based upon specific hazard scenarios and operating circumstances. The PRCI guidelines provide recommendations for the assessment of new and existing natural gas and liquid hydrocarbon pipelines subjected to potential ground displacements resulting from landslides and ground subsidence. One of the most significant benefits of the guidelines is the systematic approach developed for managing pipeline risks from landslide and ground subsidence hazards. It is hoped that this approach, presented in detailed flow charts, will lead to improvements in current practices by providing a common framework for pipeline operators, the local, state, and federal agencies that have regulatory oversight, and the general public to engage in discussions regarding potential risks from pipelines in areas of unstable ground and the most effective and practical means to reduce those risks to an acceptable level.Copyright © 2010 by ASME
NORMALIZATION OF CZECH VOWELS FROM CONTINUOUS

The effectiveness of vowel normalization methods has been suggested to be language-dependent. Six such methods have been used on Czech vowels to see which of them would lead to the best results in follow-up discriminant analyses while preserving the linguistically informative detail. The discriminant analyses had lower success rates for read continuous texts with multiple tokens from 75 speakers than for the carefully-pronounced monosyllables used previously by other authors, suggesting that the results might also be materialdependent. On the other hand, our variable data offered additional insights into sources of contextual variation and allowed us to identify the so-called enhancing contexts in which identity of a vowel is best preserved.
Chapter 2 Methodology of MRS in Animal Models : Technical Challenges and Solutions

In vivo H MR spectroscopy is a unique technique, which is capable of providing neurochemical information from a selected volume of tissue noninvasively. However, the richness and reliability of neurochemical information gained by MRS depends heavily on the data acquisition and processing techniques utilized. What makes the use of MRS in neuroscience and medical research even more challenging is the fact that the most advanced MRS techniques developed in the last 15 years are not routinely provided by MR scanner vendors. This chapter provides an overview of the MRS methodology for studying animal models of human neurodegenerative diseases. The chapter’s subsections focus on MRS data acquisition, processing, and metabolite quantification. The data acquisition section outlines some basic hardware requirements, B0 shimming, water suppression, and localization techniques. The data processing section describes methods applied on acquired MRS data before metabolite quantification, such as frequency, phase, and eddy current correction. The quantification section focuses specifically on LCModel analysis. Finally, some examples, demonstrating the potentials of highfield H MRS for neurochemical profiling in mice, are presented.