Miracle-dz/UniFAR-FTUs huggingface dataset:
Enabling Environment for Agricultural Growth and Competitiveness: Evaluation, Indicators and Indices

The key contribution of this report lies in developing a typology to structure the components of the enabling environment for agricultural growth and competitiveness, and in constructing an illustrative Agricultural Growth Enabling Index (AGEI) to summarise a wide array of available information in a coherent manner. The construction of the preliminary AGEI is based on four blocks with 40% of the weight on agriculture/rural factors and 20% each on broader economy-wide governance, capital availability and market operation. The AGEI can be used to provide across-country comparisons or single-country evaluations using the index itself or its components. It allows the decomposition within each main block to show the relative strength and weaknesses of each country across various sub-indices. It has been applied here to a selected set of twenty emerging and developing countries. The preliminary results demonstrate that the AGEI brings together information relevant to the enabling environment for agricultural growth and competitiveness, and which is largely consistent with more in-depth studies of the selected countries. While constrained in some respects, the AGEI appears to be the first index completed with this objective. Further expansion and refinement of the included set of indicators to better reflect key determinants of agriculture’s enabling environment would help provide an important input into better policy decisions.
“Always Look on the Bright Side of Life!” – Higher Hypomania Scores Are Associated with Higher Mental Toughness, Increased Physical Activity, and Lower Symptoms of Depression and Lower Sleep Complaints

Background: In the present study, we explored the associations between hypomania, symptoms of depression, sleep complaints, physical activity and mental toughness. The latter construct has gained interest for its association with a broad variety of favorable behavior in both clinical and non-clinical samples. Subjects and Methods: The non-clinical sample consisted of 206 young adults (M = 21.3 years; age range: 18–24 years; 57.3% males). They completed questionnaires covering hypomania, mental toughness, symptoms of depression, physical activity, and sleep quality. Results: Higher hypomania scores were associated with higher mental toughness, increased physical activity, lower symptoms of depression and lower sleep complaints. No gender differences were observed. Higher hypomania scores were predicted by higher scores of mental toughness subscales of control and challenge, and physical activity. Conclusion: The pattern of results suggests that among a non-clinical sample of young adults, self-rated hypomania scores were associated with higher scores on mental toughness and physical activity, along with lower depression and sleep complaints. The pattern of results further suggests that hypomania traits are associated with a broad range of favorable psychological, behavioral and sleep-related traits, at least among a non-clinical sample of young adults.
Psychology and Syllogistic Reasoning

Abstract A theory of syllogistic reasoning is proposed, derived from the medieval doctrine of ‘distribution of terms’. This doctrine may or may not furnish an adequate ground for the logic of the syllogism but does appear to illuminate the psychological processes involved. Syllogistic thinking is shown to have its origins in the approach and avoidance behaviour of pre‐verbal organisms and, in verbal (human) organisms, to bridge the gap between the intuitive grasp shown by most of us of the validity of simple logical arguments and the failure of intuition in more complex arguments that require resort to calculation. Some difficulties are considered affecting the use of syllogisms as experimental material. These include failure on the part of the investigator to take account of the fact that a syllogism is always part of a continuing argument in which the topic of the argument is known to all parties and the possibility that subjects may find ways of appearing to solve syllogisms without actually doing so.
Levodopa delivery systems: advancements in delivery of the gold standard

Importance of the field: Despite the fact that Parkinson's disease (PD) was discovered almost 200 years ago, its treatment and management remain immense challenges because progressive loss of dopaminergic nigral neurons, motor complications experienced by the patients as the disease progresses and drawbacks of pharmacotherapeutic management still persist. Various therapeutic agents have been used in the management of PD, including levodopa (l-DOPA), selegiline, amantadine, bromocriptine, entacapone, pramipexole dihydrochloride and more recently istradefylline and rasagiline. Of all agents, l-DOPA although the oldest, remains the most effective. l-DOPA is easier to administer, better tolerated, less expensive and is required by almost all PD patients. However, l-DOPA's efficacy in advanced PD is significantly reduced due to metabolism, subsequent low bioavailability and irregular fluctuations in its plasma levels. Significant strides have been made to improve the delivery of l-DOPA in order to enhance its bioavailability and reduce plasma fluctuations as well as motor complications experienced by patients purportedly resulting from pulsatile stimulation of the striatal dopamine receptors. Areas covered in this review: Drug delivery systems that have been instituted for the delivery of l-DOPA include immediate release formulations, liquid formulations, dispersible tablets, controlled release formulations, dual-release formulations, microspheres, infusion and transdermal delivery, among others. In this review, the l-DOPA-loaded drug delivery systems developed over the past three decades are elaborated. What the reader will gain: The ultimate aim was to assess critically the attempts made thus far directed at improving l-DOPA absorption, bioavailability and maintenance of constant plasma concentrations, including the drug delivery technologies implicated. Take home message: This review highlights the fact that neuropharmaceutics is at a precipice, which is expected to spur investigators to take that leap to enable the generation of innovative delivery systems for the effective management of PD.
Simple to Complex Transfer Learning for Action Recognition

Recognizing complex human actions is very challenging, since training a robust learning model requires a large amount of labeled data, which is difficult to acquire. Considering that each complex action is composed of a sequence of simple actions which can be easily obtained from existing data sets, this paper presents a simple to complex action transfer learning model (SCA-TLM) for complex human action recognition. SCA-TLM improves the performance of complex action recognition by leveraging the abundant labeled simple actions. In particular, it optimizes the weight parameters, enabling the complex actions to be learned to be reconstructed by simple actions. The optimal reconstruct coefficients are acquired by minimizing the objective function, and the target weight parameters are then represented as a combination of source weight parameters. The main advantage of the proposed SCA-TLM compared with existing approaches is that we exploit simple actions to recognize complex actions instead of only using complex actions as training samples. To validate the proposed SCA-TLM, we conduct extensive experiments on two well-known complex action data sets: 1) Olympic Sports data set and 2) UCF50 data set. The results show the effectiveness of the proposed SCA-TLM for complex action recognition.
Association of p 19 ARF with Mdm 2 inhibits ubiquitin ligase activity of Mdm 2 for tumor suppressor p 53

We have demonstrated previously that the oncoprotein Mdm2 has a ubiquitin ligase activity for the tumor suppressor p53 protein. In the present study, we characterize this ubiquitin ligase activity of Mdm2. We first demonstrate the ubiquitination of several p53 point mutants and deletion mutants by Mdm2. The point mutants, which cannot bind to Mdm2, are not ubiquitinated by Mdm2. The ubiquitination of the C-terminal deletion mutants, which contain so-called Mdm2-binding sites, is markedly decreased, compared with that of wild-type p53. The binding of Mdm2 to p53 is essential for ubiquitination, but p53 s tertiary structure and/or C-terminal region may also be important for this reaction. DNA-dependent protein kinase is known to phosphorylate p53 on Mdm2-binding sites, where DNA damage induces phosphorylation, and p53 phosphorylated by this kinase is not a good substrate for Mdm2. This suggests that DNA damage-induced phosphorylation stabilizes p53 by inhibiting its ubiquitination by Mdm2. We further investigated whether the tumor suppressor p19ARF affects the ubiquitin ligase activity of Mdm2 for p53. The activity of p19ARFbound Mdm2 was found to be lower than that of free Mdm2, suggesting that p19ARF promotes the stabilization of p53 by inactivating Mdm2.
Work–home interference: Examining socio-demographic predictors in the South African context

Orientation: The focus of this study was to investigate the relationship between socio-demographic characteristics and the work–home interaction in different occupational groups in South Africa. Research purpose: The main research aim of the study was to investigate the socio-demographic predictors of negative and positive work–home interaction of South African employees. Motivation for the study: Little information is known about the prevalence of work–home interaction within groups. This study is aimed at enabling the researcher and organisations to identify those groups that are at risk of negative interference and which are prone to positive interaction, to allow for the development of appropriate strategies and intervention programmes. Research design, approach and method: A cross-sectional survey design was used in the study. A sample ( N = 2040) was taken from four South African industries (i.e. the police service, the earthmoving equipment industry, mining and nursing). A socio-demographic questionnaire and the Survey Work–Home Interaction-Nijmegen (SWING) were used. Main findings: The results indicated that robust predictors included occupation, gender and language for negative work–home interference; occupation, age and language for positive work–home interference; occupation and language for negative home–work interference; and occupation, age, education and language for positive home–work interference. Practical/managerial implications: The implications of the study are that negative and positive work–home interaction is uniquely associated with socio-demographic characteristics. Work–life balance initiatives should, therefore, be carefully tailored to address the needs of each socio-demographic group. Contribution/value-add: The findings of the study suggest answers to the management of the work–home interaction among various socio-demographic groups in organisations.
Human Bocavirus – A Novel Parvovirus to Infect Humans

For almost three decades parvovirus B19 has been described as the only member of the Parvoviridae to infect and cause illness in humans. This statement was correct until 2005 when a group of Swedish scientists identified a previously uncharacterized virus in pools of human nasopharyngeal aspirates obtained from individuals suffering from diseases of the respiratory tract. Comprehensive sequence and phylogenetic analysis allowed the identification of the new virus as a member of the Parvoviridae. Based on its close relation to the minute virus of canines and the bovine parvovirus, it was named human bocavirus (HBoV). Since the identification of HBoV, viral genomes have been frequently detected worldwide in nasopharyngeal swabs, serum and fecal samples almost exclusively derived from young children with various symptoms of the respiratory or the gastrointestinal tract. The detection of HBoV genomes tends to be associated with elevated rates of coinfections with further respiratory viruses, e.g. respiratory syncytial virus or metapneumovirus. First studies on virus-specific immune responses have described the presence of ubiquitous humoral and cellular immune reactions against HBoV in adults and adolescents, indicating a high seroprevalence of this new virus in humans.
Prevalence of depressive episodes with psychotic features in the general population.

OBJECTIVE The study evaluated the prevalence of major depressive episodes with psychotic features in the general population and sought to determine which depressive symptoms are most frequently associated with psychotic features. METHOD The sample was composed of 18,980 subjects aged 15-100 years who were representative of the general populations of the United Kingdom, Germany, Italy, Portugal, and Spain. The participants were interviewed by telephone by using the Sleep-EVAL system. The questionnaire included a series of questions about depressive disorders, delusions, and hallucinations. RESULTS Overall, 16.5% of the sample reported at least one depressive symptom at the time of the interview. Among these subjects, 12.5% had either delusions or hallucinations. More than 10% of the subjects who reported feelings of worthlessness or guilt and suicidal thoughts also had delusions. Feelings of worthlessness or guilt were also associated with high rates of hallucinations (9.7%) and combinations of hallucinations and delusions (4.5%). The current prevalence of major depressive episode with psychotic features was 0.4% (95% CI=0.35%-0.54%), and the prevalence of a current major depressive episode without psychotic features was 2.0% (95% CI=1.9%-2.1%), with higher rates in women than in men. In all, 18.5% of the subjects who fulfilled the criteria for a major depressive episode had psychotic features. Past consultations for treatment of depression were more common in depressed subjects with psychotic features than in depressed subjects with no psychotic features. CONCLUSIONS Major depressive episodes with psychotic features are relatively frequent in the general population, affecting four of 1,000 individuals. Feelings of worthlessness or guilt can be a good indicator of the presence of psychotic features.
Teachers' Perceptions of School Climate

Scores from a revised version of the School Level Environment Questionnaire (SLEQ) were validated using a sample of teachers from a large school district. An exploratory factor analysis was used with a randomly selected half of the sample. Five school environment factors emerged. A confirmatory factor analysis was run with the remaining half of the sample. Goodness-of-fit indices indicated that the factor structure fit the data reasonably well. Further analyses using structural equation modeling techniques revealed that the Revised SLEQ worked equally well for all samples. Invariance testing showed that the fitted model and the estimated parameter values were statistically equivalent across all samples. Internal consistency estimates provided further evidence of the reliability of factor scores. In addition, an analysis of variance indicated that the instrument discriminated climate differences between schools. Results suggest that the Revised SLEQ provides a good tool for studying teachers' perceptions of school climate.
Accessibility and Urban Development: A Grid-Based Comparative Statistical Analysis of Dutch Cities

Accessibility has become a key issue in modern urban planning. This paper aims to identify the impact of differences in spatial accessibility on the development of the built environment in cities. Using a few simple accessibility indicators, it tries to map out in a quantitative way the detailed implications of accessibility conditions for built-up areas, on the basis of a 25 m × 25 m grid cell approach. The statistical tool used here is logistic regression, followed by a GIS representation of the empirical results for four Dutch cities: Amsterdam, The Hague, Rotterdam, and Utrecht.
Determinants of Japanese Yen interest rate swap spreads: Evidence from a smooth transition vector autoregressive model

This study investigates the determinants of variations in the yield spreads between Japanese yen interest rate swaps and Japan government bonds for a period from 1997 to 2005. A smooth transition vector autoregressive (STVAR) model and generalized impulse response functions are used to analyze the impact of various economic shocks on swap spreads. The volatility based on a GARCH (generalized autoregressive conditional heteroskedasticity) model of the government bond rate is identified as the transition variable that controls the smooth transition from a high volatility regime to a low volatility regime. The break point of the regime shift occurs around the end of the Japanese banking crisis. The impact of economic shocks on swap spreads varies across the maturity of swap spreads as well as regimes. Overall, swap spreads are more responsive to the economic shocks in the high volatility regime. Moreover, a volatility shock has profound effects on shorter maturity spreads, whereas the term structure shock plays an important role in impacting longer maturity spreads. Results of this study also show noticeable differences between the nonlinear and linear impulse response functions. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:82–107, 2008
Adipocyte fatty acid binding protein levels relate to inflammation and fibrosis in nonalcoholic fatty liver disease

Several circulating cytokines are increased with obesity and may combine with the influence of visceral fat to generate insulin resistance, inflammation, and fibrosis in nonalcoholic fatty liver disease (NAFLD). Little information exists in NAFLD about three recently recognized tissue‐derived cytokines that are all lipid‐binding and involved in inflammation, namely adipocyte fatty acid–binding protein (AFABP), lipocalin‐2, and retinol‐binding protein 4 (RBP4). We examined the association of these three peptides with hepatic steatosis, inflammation, and fibrosis plus indices of adiposity, insulin resistance, and dyslipidaemia in 100 subjects with NAFLD and 129 matched controls. Levels of AFABP and lipocalin‐2, but not RBP4, were significantly elevated in NAFLD versus control (AFABP, 33.5 ± 14.4 versus 23.1 ± 12.1 ng/mL [P < 0.001]; lipocalin‐2, 63.2 ± 26 versus 48.6 ± 20 ng/mL [P < 0.001]) and correlated with indices of adiposity. AFABP correlated with indices of subcutaneous rather than visceral fat. AFABP alone distinguished steatohepatitis from simple steatosis (P= 0.02). Elevated AFABP independently predicted increasing inflammation and fibrosis, even when insulin resistance and visceral fat were considered; this applied to lobular inflammation and ballooning (odds ratio 1.4, confidence interval 1.0‐1.8) and fibrosis stage (odds ratio 1.3, confidence interval 1.0‐1.7) (P ≤ 0.05 for all). None of the cytokines correlated with steatosis grade. AFABP levels correlated with insulin resistance (homeostasis model assessment of insulin resistance) in controls and NAFLD, whereas lipocalin‐2 and RBP4 only correlated positively with insulin resistance in controls. Conclusion: Circulating AFABP, produced by adipocytes and macrophages, and lipocalin‐2, produced by multiple tissues, are elevated and may contribute to the metabolic syndrome in NAFLD. AFABP levels, which correlate with subcutaneous, but not visceral fat, independently predict inflammation and fibrosis in NAFLD and may have a direct pathogenic link to disease progression. (HEPATOLOGY 2009;49:1926–1934.)
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

A plenitude of feature selection (FS) methods is available in the literature, most of them rising as a need to analyze data of very high dimension, usually hundreds or thousands of variables. Such data sets are now available in various application areas like combinatorial chemistry, text mining, multivariate imaging, or bioinformatics. As a general accepted rule, these methods are grouped in filters, wrappers, and embedded methods. More recently, a new group of methods has been added in the general framework of FS: ensemble techniques. The focus in this survey is on filter feature selection methods for informative feature discovery in gene expression microarray (GEM) analysis, which is also known as differentially expressed genes (DEGs) discovery, gene prioritization, or biomarker discovery. We present them in a unified framework, using standardized notations in order to reveal their technical details and to highlight their common characteristics as well as their particularities.
E‐learning in higher education: some key aspects and their relationship to approaches to study

While there has been systematic and on‐going research into e‐learning in universities for over two decades, there has been comparatively less evidence‐based research into how key aspects of e‐learning are internally constituted from a student perspective and how these aspects might be related to university students’ learning experiences. The purpose of this paper is to explore key aspects of e‐learning that might be related to university student approaches to study, so that a better understanding of the internal structure of these aspects is achieved. Student responses to surveys are analysed at the level of each item to identify which items made the most sense to over 200 third‐year economics students. Data was also analysed both at the variable level, to identify which items coalesce to determine the structure of e‐learning variables, and at the student level, to see if there were groups of students in the sample that shared similar experiences of e‐learning when it was used to support a predominately campus‐based learning experience. The results suggest several implications for improving particular aspects of the student experience of e‐learning when it is used to support a campus‐based experience.
An Experimental Analysis of the Perception of the Area of an Open Space Using 3-D Stereo Dynamic Graphics

This article experimentally investigated the perception of the area of an open space. In the experiment, 3-D stereo dynamic graphics were used to present subjects with a simulated environment in which subjects walked around, thus creating a hypothetical reality of being in an actual city. Having walked through the simulated city, subjects conducted two kinds of area judgment tasks. The results showed that the shape and location of an open space affect the perception of the area. These effects were termed the width/depth ratio effect and the visible area effect. Three models were formulated to explain the perception of area. Each model was statistically tested and the best-fit model was determined. The best-fit model suggested that the largest visible area and the judgment of the inside and outside of a setback space played an important role in deriving the perceived area.