Miracle-dz/UniFAR-FTUs huggingface dataset:
Research and Development, Environmental Investments, to Eco-Efficiency, and Firm Value

This study aims to determine the relation between research and development (R&D) investment and environmental investment to eco-efficiency and firm value in manufacturing, plantation and mining companies listed on the Indonesia Stock Exchange (IDX) in 2013-2017. The results of this study show research and development (R&D) investment has a positive and significant correlation to eco-efficiency and firm value it shows that research and development (R&D) investment is very important to improve eco-efficiency and firm value, while environmental investment has no correlation with eco-efficiency and firm value. In addition, this study shows that there is no relation between eco-efficiency and firm value. Based on this result, it is known that investment in the environment has not been a concern for entrepreneurs and investors, therefore strict regulations for business people are needed regarding topreserve the environment. Meanwhile, accounting standards are needed in accordance with Indonesia’s conditions which require companies to disclose financial statements related to the environment transparently. This study aims to determine the relation between research and development (R&D) investment and environmental investment to eco-efficiency and firm value in manufacturing, plantation and mining companies listed on the Indonesia Stock Exchange (IDX) in 2013-2017. The results of this study show research and development (R&D) investment has a positive and significant correlation to eco-efficiency and firm value it shows that research and development (R&D) investment is very important to improve eco-efficiency and firm value, while environmental investment has no correlation with eco-efficiency and firm value. In addition, this study shows that there is no relation between eco-efficiency and firm value. Based on this result, it is known that investment in the environment has not been a concern for entrepreneurs and investors, therefore strict regulations for business people are needed regarding topreserve the environment. Meanwhile, accounting standards are needed in accordance with Indonesia’s conditions which require companies to disclose financial statements related to the environment transparently.
Sınıf Öğretmenlerinin Mesleki Gelişim Eğitimlerine İlişkin Görüşlerinin Belirlenmesi

Advancing as a society and reaching the level of welfare of developed countries are only possible by offering good education in schools. The quality of the education offered in schools is increased by means of increasing the qualifications of the teachers. With this study, it is aimed to determine the general views of class teachers on their career development training (seminar works) held twice a year, one of them being at the beginning and the other at the end of the school year for primary schools. Four open-ended questions prepared to this end were asked to 60 teachers chosen randomly to take their views. Content analysis method used for the analysis of qualitative researches was used in the analysis of the data obtained. As a result of the research, while the teachers establish the studies carried out within the scope of career development training as keeping up with the novelties, informing and overcoming the deficiencies, most of the teachers think that this training does not contribute to them. The teachers stated that in terms of the time, it would be appropriate to carry out the career development courses twice a year, one of them being at the beginning and the other at the end of the school year, as it they are now or extending them over the process. Furthermore, the teachers think that it would be beneficial in terms of effectiveness of the career development training to take into account the interests and needs, that the courses are application based and experts in their fields take part in the courses.
To ascertain any differences in fetomaternal outcomes in induced and spontaneous labour among multiparous women delivering at term without an identified indication for induction.

Background : To ascertain any differences in fetomaternal outcomes in induced and spontaneous labour among multiparous women delivering at term without an identified indication for induction. Methods : This was a prospective study of 212 women with spontaneous labour and 104 women with induced labour who were delivered at 37 weeks to 40+6 weeks gestation, all without identified medical and obstetrical indications for induction. Results : Initial Bishop score in the induced group was low (? 5) in 58.7% compared to 40.6% in spontaneous group (p=0.002). Mean duration of total labour (8.8+4.4vs 7.58+4.4hours), first stage of labour (8.26+2.4vs 7.02+1.3hours) was significantly short in induced group as compared to spontaneous group (p<0.001). Caesarean section rate was found to be insignificantly higher in induced group (18.3%) compared to (16.5% in) spontaneous group (p=0.69). Instrumental delivery rate was also higher in induced group (10.6%) as compared to spontaneous group (8.5%) but statistically insignificant (p=0.54), no difference was found regards second and third stage, duration of rupture of membranes, vaginal lacerations, 1 minute and 5 minute apgar scores, admission to NICU and hospital stay. Conclusions : Multiipara who have spontaneous onset of labour the initial mean Bishop score is more compared to the subjects who have induced labour. The study did not demonstrate an increase in rate of caesarean section when Bishop score was ? 5 (p=0.97). Compared to those with spontaneous labour, multiparas with induced labour are more likely to have short duration of labour specially the first stage but the mode of delivery is not affected.
Effects of green space on walking: Does size, shape and density matter?

The role of the built environment in improving public health through fostering physical activity has come under increased scrutiny in recent years. This study investigates relationships between walking activity and the configuration of green spaces in Greater London. Pedestrian activity for N = 54,910 walking trip stages is gathered through the London Travel Demand Survey (LTDS), with routes between origin and destination mapped onto the street network from the Integrated Transport Network of Ordnance Survey. Green spaces were extracted from UKMap and agglomerated to form London’s hundreds of parks. Regressions of pedestrian activity on park configuration, controlling for built environment metrics, revealed that catchments around smaller parks have more walking trips. Irregularity of park shape has the opposite effect. Park density, measured as number of parks inside a catchment, is insignificant in regression. Parks adjacent to retail areas were associated with pronounced increases in walking. The study contributes to landscape, urban management, environmental policy and urban planning and design literature. The evidence provides implications for performance-oriented policy and design decisions that configure a city’s green spaces to improve citizens’ public health through enhancing walkability.
Seasonal Behavior of Aerosol Vertical Concentration in Dakar and Role Played by the Sea-Breeze

The Westward transport of mineral dust from the North Africa continent to Atlantic Ocean can produce poor air quality, low visibilities, and negatively impacting respiratory and cardiac health due to the optical and physical properties of aerosols. The dynamical impact of the sea-breeze on the dust vertical distribution in West Africa remains unknown. To investigate this issue, we have used in-situ measurements from lidar. We have focused on the attenuated backscatter of aerosols to study the effect of the local circulation on the vertical profile of mineral dust at land-sea transition. The results highlight a strong diurnal cycle of mineral dust associated with the nocturnal low-level jet (NLLJ). The jet is located between 500 m and 1000 m and crucially affected by the dynamic of the sea-breeze circulation.
‘But what about men?’ Gender disquiet in international criminal justice

This article explores the everyday remaking of patriarchy in international criminal justice. Drawing on 63 interviews at the International Criminal Court in The Hague and in Uganda, it argues that a gender backlash has been fomenting in international criminal justice, as practitioners express their disquiet about the ‘ubiquitous gender discourse’. They claim that the Court’s ‘gender agenda’ is in no small part driven from ‘outside’ and lament that it neglects the rape of men. The article traces how patriarchal norms are refashioned in international criminal justice by playing into legal sensibilities that see procedure rather than substantive change as the essence of (criminal) law. Ultimately, the article shows how attempts to foreground victims of Sexual and Gender-Based Violence in international criminal justice first failed to include men, and now, in a belated effort to rectify their omission, construct their competitive victimhood in ways that reinforce rather than challenge patriarchal norms.
The impact of cumulative socioeconomic inequalities on physical functioning, self-rated health, and depression among older adults.

ii Dedication . iv Acknowledgments.v Vita . vi List of Tables . ix List of Figures . xi Chapter 1: Introduction . 1 Chapter 2: Literature Review . 6 2.1. Socioeconomic Status and Health Disparities . 6 2.2. Theoretical Framework . 19 2.2.1. The Life Course Perspective . 19 2.2.2. The Cumulative Disadvantage Theory . 25 2.3. Research Hypotheses . 42 Chapter 3: Methods . 43 3.1. Sample.43 3.2. Measures . 45 3.3. Analytic Procedures . 48 viii Chapter 4: Results . 58 4.1. Descriptive Statistics . 58 4.2. Unconditional Growth Curve Model . 66 4.3. Conditional Growth Curve Model . 69 4.4. Multiple Group Analysis.74 Chapter 5: Discussion . 85 5.1. Summary . 85 5.2. Implications for Social Work Policy, Practice, and Research . 94 5.3. Limitations and Future Research . 102 References . 104
NBER WORKING PAPER SERIES WINNERS AND LOSERS FROM SOVEREIGN DEBT INFLOWS

We study the transmission of sovereign debt inflow shocks on domestic firms. We exploit episodes of large sovereign debt inflows in six emerging countries that are due to the announcements of these countries' inclusion in two major local-currency sovereign debt indexes. We show that these episodes significantly reduce government bond yields and appreciate the domestic currency, and have heterogeneous stock market effects on domestic firms. Firms operating in tradable industries experience lower abnormal returns than firms in non-tradable industries. In addition, financial, government-related, and firms that rely more on external financing experience relatively higher abnormal returns. The effect on financial and governmentrelated firms is stronger in countries that display larger reductions in government bond yields. The effect on tradable firms is stronger in countries where the domestic currency appreciates more. We provide a stylized model that rationalizes these results. Our findings shed novel light on the channels through which sovereign debt inflows affect firms in emerging economies. Fernando Broner CREI Universitat Pompeu Fabra Ramon Trias Fargas, 25-27 08005 Barcelona Spain and Barcelona GSE fbroner@crei.cat Alberto Martin European Central Bank Sonnenmannstrasse 20 60314 Frankfurt Germany and CREI-Universitat Pompeu Fabra amartin@crei.cat Lorenzo Pandolfi Center for Studies in Economics and Finance (CSEF) Naples, Italy lorepandolfi@gmail.com Tomas Williams George Washington University Department of Economics 2115 G Street, NW Room 340 Washington, DC 20052 tomaswilliams@gwu.edu
Acute Microglial Responses to Single Non-Epileptogenic vs. Epileptogenic Seizures in Mouse Hippocampus

As the resident macrophage of the central nervous system, microglia are in a uniquely privileged position to both affect and be affected by neuroinflammation, neuronal activity and injury, which are all hallmarks of seizures and the epilepsies. In one of the prototypical rodent models of seizure-induced epilepsy, hippocampal microglia become activated after prolonged, damaging seizures known as Status Epilepticus (SE). However, since SE comprises both neuronal hyperactivity and injury, the specific mechanisms triggering this microglial activation remain unclear, as does its relevance to the ensuing epileptogenic processes. The present studies employed another well-established seizure model, electroconvulsive shock (ECS), to study the effect of paroxysmal/ictal neuronal hyperactivity on mouse hippocampal microglia, in the absence of concomitant neuronal degeneration. Unlike SE, ECS did not cause neuronal injury and did not alter hippocampal CA1 microglial and astrocytic density, morphology nor baseline process motility. In contrast, both ECS and SE produced a similar increase in ATP-directed microglial process motility in acute slices and similarly upregulated expression of the
Anti-inflammatory, epigenetic regulatory role of phytochemicals and pkpd modeling of pharmacological effects

OF THE DISSERTATION. ii PREFACE . iv ACKNOWLEDGDMENTS . v DEDICATION . vii TABLE OF CONTENTS . viii LIST OF FIGURES . xiii LIST OF TABLES . xvi ABBREVIATIONS . xvii
Impact of laser stacking and photocathode materials on microbunching stability in photoinjectors

Microbunching instability is a well-known phenomenon that may deteriorate the performance of accelerators. The instability may be triggered by a shot-noise mechanism or by some initial intensity modulations at the generation of the electron bunch (or both) and can be amplified all along the machine. At SwissFEL, the free-electron laser (FEL) facility operating at the Paul Scherrer Institute (PSI), the initial design stipulated a shaping of the photocathode laser output to obtain a flat-top longitudinal profile. This scheme is attractive in terms of the uniformity of the beam properties along the bunch. The drawback of this approach is that some unavoidable modulations are generated along the laser pulse. We investigate, both experimentally and by numerical simulations, the longitudinal dynamics of a beam obtained illuminating a copper cathode with a laser profile shaped by the stacking technique. We repeat the analysis for several compression factors and initial laser profile modulations. We find that the microbunching instability gain renders the use of the stacking technique not efficient to run a free-electron laser facility using as photocathode a material with a short response time. We experimentally demonstrate that the use of a material with a longer response time efficiently damps the structures originating from the laser profile obtained with stacking, and helps to improve the performance of the facility. In general, this is an approach to minimize the microbunching instability at any FEL (also not using stacking) or at least reduce the use of other countermeasures, which, such as the laser heater, may degrade the final FEL performance.
Clade composition of a plant community indicates its phylogenetic diversity

Abstract Phylogenetic diversity quantification is based on indices computed from phylogenetic distances among species, which are derived from phylogenetic trees. This approach requires phylogenetic expertise and available molecular data, or a fully sampled synthesis‐based phylogeny. Here, we propose and evaluate a simpler alternative approach based on taxonomic coding. We developed metrics, the clade indices, based on information about clade proportions in communities and species richness of a community or a clade, which do not require phylogenies. Using vegetation records from herbaceous plots from Central Europe and simulated vegetation plots based on a megaphylogeny of vascular plants, we examined fit accuracy of our proposed indices for all dimensions of phylogenetic diversity (richness, divergence, and regularity). For real vegetation data, the clade indices fitted phylogeny‐based metrics very accurately (explanatory power was usually higher than 80% for phylogenetic richness, almost always higher than 90% for phylogenetic divergence, and often higher than 70% for phylogenetic regularity). For phylogenetic regularity, fit accuracy was habitat and species richness dependent. For phylogenetic richness and divergence, the clade indices performed consistently. In simulated datasets, fit accuracy of all clade indices increased with increasing species richness, suggesting better precision in species‐rich habitats and at larger spatial scales. Fit accuracy for phylogenetic divergence and regularity was unreliable at large phylogenetic scales, suggesting inadvisability of our method in habitats including many distantly related lineages. The clade indices are promising alternative measures for all projects with a phylogenetic framework, which can trade‐off a little precision for a significant speed‐up and simplification, such as macroecological analyses or where phylogenetic data is incomplete.
Elementary school teachers’ exposure to mobbing

Frequency of exposure to mobbing among elementary school teachers working in central Usak was investigated in the study. In total 347 elementary school teachers who are working in centre of Usak voluntarily participated in the study. As data collection tool “Mobbing Scale” second version developed by Demirci (2014) was administered. Nonparametric Test was carried out to analyse non-parametric data set. Mann Whitney U-test and Kruskal Wallis H-test were used in the study. Marital Status and Mobbing Level did not show statistically significant relationship. The factor named as Quality of Life and Professional Status and gender show statistically significant relationship; male elementary school teachers face to mobbing more frequently than female classroom teachers. As for teaching experiences, 6-10 years experienced elementary school teachers’ exposure to mobbing frequency higher than 16-20 years, 21-25 years, 26-30 years, and 31-35 years experienced teachers. Elementary school teachers with 26-30 years teaching experiences have lower mobbing frequency than other groups.
Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network

Deep convolutional neural networks (CNNs) have shown their outstanding performance in the hyperspectral image (HSI) classification. The success of CNN-based HSI classification relies on the availability sufficient training samples. However, the collection of training samples is expensive and time consuming. Besides, there are many pretrained models on large-scale data sets, which extract the general and discriminative features. The proper reusage of low-level and midlevel representations will significantly improve the HSI classification accuracy. The large-scale ImageNet data set has three channels, but HSI contains hundreds of channels. Therefore, there are several difficulties to simply adapt the pretrained models for the classification of HSIs. In this article, heterogeneous transfer learning for HSI classification is proposed. First, a mapping layer is used to handle the issue of having different numbers of channels. Then, the model architectures and weights of the CNN trained on the ImageNet data sets are used to initialize the model and weights of the HSI classification network. Finally, a well-designed neural network is used to perform the HSI classification task. Furthermore, attention mechanism is used to adjust the feature maps due to the difference between the heterogeneous data sets. Moreover, controlled random sampling is used as another training sample selection method to test the effectiveness of the proposed methods. Experimental results on four popular hyperspectral data sets with two training sample selection strategies show that the transferred CNN obtains better classification accuracy than that of state-of-the-art methods. In addition, the idea of heterogeneous transfer learning may open a new window for further research.
Evidence for 
α
-cluster structure in 
Ne21
 in the first measurement of resonant 
O17+α
 elastic scattering

The first study of resonances in O17+α elastic scattering was carried out using the thick target inverse kinematics method. The data were analyzed in the framework of an R-matrix approach. Many α-cluster states were found in the Ne21 excitation region of the 9–13 MeV excitation energy including the first observation of a broad l=0 state in an odd-even nucleus, which is likely the analog of the broad 0+ at 8 MeV in Ne20. The observed structure in Ne21 appeared to be strikingly similar to that populated in the resonant O16+α scattering in Ne20. The results are also useful for refinement of data on an O17(α,n) reaction important for astrophysics.
An Economic Evaluation of a Vaccine Acquisition Strategy to Mitigate Acute Diarrheal Illness Among Deployed US Military Forces

Abstract : Background. To this day acute diarrheal illness continues to be a significant health threat for deployed military personnel, resulting not only in significant numbers of lost days, but also increased health care utilization, and compromise in mission capability and effectiveness. Despite the advances in environmental health interventions and effective empiric treatment regimens, the high incidence and disease burden associated with enteric infections continues unabated. Vaccines have been proposed as a cost effective method of primary prevention in operational settings where the risk of exposure is high. However, infectious diarrhea is but one of many threats to deployed service members, and in the face of limited resources, a decision to pursue a vaccine acquisition strategy should be based on sound epidemiological evidence that weighs the costs and benefits of such a strategy compared to alternatives. Therefore, my study was conductedto characterize and quantify the pathogen-specific burden of travelers diarrhea (TD) among deployed US military personnel using best available evidence in order to evaluate the cost-effectiveness of a vaccine acquisition strategy against three primary causes of TD compared with current clinical management in a deployed setting.
Combining Participatory Mapping, Cloud Computing and Machine Learning for Mapping Climate Induced Landslide Susceptibility in Lembeh Island, North Sulawesi

This study explored the use of participatory mapping and several machine learning algorithms (Naïve Bayes, GMO Maxent, SVM, CART, and Random Forest) to map climate induced landslide susceptibility in Lembeh Island, North Sulawesi, based on Earth Observation data available in Google Earth Engine. Participatory mapping on landslide incidents were conducted in three villages, i.e., Kareko, Pintu Kota, and Pasir Panjang. Data used include digital elevation model from SRTM, multispectral imageries from Sentinel 2, and precipitation from CHIRPS. Terrain modelling was done to DEM to come up with elevation, slope, curvature, and aspect. A cloud free mosaic of Sentinel Images was created using the median reducer and then NDVI was calculated. Precipitation data from CHIRPS was sampled and interpolated using kriging and reduced to maximum and mean. Each algorithm was trained using 70% participatory mapping data and then the prediction was tested for accuracy using the last 30%. Results showed that Random Forest, SVM, CART, and GMO Maxent gave 0.98 testing accuracy and Naïve Bayes only 0.90. The map showed that due to the terrain condition, Lembeh Island is prone to Landslide and even though previously BNPB already provide a landslide hazard risk map, there were many areas not included on that map. Therefore, the map could become an input for BNPB and the Bitung City for developing a mitigation and adaptation strategy. Machine learning and cloud computing along with participatory mapping could also complement mechanistic or multi-criteria analysis using GIS model for landslide susceptibility mapping.