Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of reduced-impact logging and forest physiognomy on bat populations of lowland Amazonian forest.

Summary 1. As human population size increases, demand for natural resources will increase. Logging pressure related to increasing demands continues to threaten remote areas of Amazonian forest. A harvest protocol is required to provide renewable timber resources that meet consumer needs while minimizing negative effects on biodiversity and ecosystem services. Reduced-impact logging (RIL) may be a viable option to achieve these goals. 2. Effects of RIL (18 m 3 ha ‐1 ) and forest physiognomy were assessed for populations of bats from Amazonian terra firme forest in Brazil at 20 ‐ 42 months postharvest. 3. Based on 64 512 meter-hours of netting, 1468 bats were captured representing 47 species, 30 genera, four families and five feeding ensembles. Five species (one nectarivore and four frugivores) responded to management in a consistent manner: four were more abundant in logged forest and one was more abundant in undisturbed forest. Ten species (one nectarivore, two gleaning animalivores and seven frugivores) responded to forest physiognomy in a consistent manner: nine were more abundant in closed-canopy sites and one was more abundant in gaps. Three species (all frugivores) exhibited idiosyncratic responses to management that were contingent on physiognomy. 4. Using qualitative measures (changes in status from common to rare, or from present to absent), RIL elicited negative responses from 16 species, mostly rare taxa. After accounting for differences in total number of collected individuals, control forest harboured seven to 15 more rare species than did forest subjected to RIL. 5. Synthesis and applications . In the short term, RIL generally did not negatively affect populations of abundant bats. In contrast, reductions in abundance or local extirpation in response to RIL generally characterized uncommon or rare species. Arrangement of RIL sites in a matrix of undisturbed forest may allow source‐sink dynamics to mitigate effects of RIL on rare or sensitive species and enhance sustainability at a regional scale.
Chapter 3 Convergent and Discriminant Validity : Treatment Outcome and Process Ratings by Parents & Youth Forms of Validity

Two forms of validity are required for a valid measure: convergent and discriminant (or divergent) validity according to Campbell and Fiske (1959). Convergent validity requires that measures of similar constructs should be positively correlated. For example, we validated the Symptoms and Functioning Severity Scale (SFSS) score by determining how it correlated with similar measures, namely the Child Behavior Checklist (CBCL; Achenbach, 1991), the Youth Self Report (YSR; Achenbach), the Youth Outcomes Questionnaire (Y-OQ; Wells, Burlingame & Lambert, 1999), and the Strengths and Difficulties Questionnaire (SDQ; Goodman, 1999). The correlations, approximately r = 0.80, suggested that the SFSS was very similar to the other instruments. They are all measures of reported emotional and behavioral problems (see Chapter 4 for more detail).
Transmembrane Signaling and Conformational Regulation of Integrin

vi CHAPTER ONE: GENERAL INTRODUCTION. 1 CHAPTER TWO: INTEGRIN αIIBβ3 TRANSMEMBRANE DOMAIN SEPARATION MEDIATES BI-DIRECTIONAL SIGNALING ACROSS THE PLASMA MEMBRANE . 15 CHAPTER THREE: INTEGRIN αvβ8 ADOPTS A HIGH AFFINITY STATE UNDER PHYSIOLOGICAL CONDITIONS CAUSED BY THE β8 EGF1 AND EGF2 INTERFACE. 42 CHAPTER FOUR: GENERAL DISCUSSION AND CONCLUSION. 67 REFERENCES. 72 APPENDIX. 84 VITA. 86
A New Method for Studying He Damage in Materials Demonstrated on Nanotwinned Cu Nanopillars

1. Department of Nuclear Engineering, University of California, Berkeley, California, 94720, USA 2. Center for Advancing Materials Performance from the Nanoscale (CAMP-Nano) & Hysitron Applied Research Center in China (HARCC), State Key Laboratory for Mechanical Behavior of Materials, Xi’an Jiaotong University, Xi’an, 710049, China 3. Department of Materials Science and Engineering, University of California, Berkeley, California 94720, USA
An update on the clinical utility of extracorporeal photopheresis in the treatment of graft-versus-host disease

php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). International Journal of Clinical Transfusion Medicine 2017:5 19–28 International Journal of Clinical Transfusion Medicine Dovepress
METHODS AND TECHNIQUES FOR QUANTIFYING THE VALUE OF ECOSYSTEM SERVICES

To quantify ecosystem services several methods have been developed, that succeed to address almost the entire range of ecosystems’ benefits for human. Using these methods has gained popularity in both developed and developing countries. However, most of studies focus on the U.S., UK and Scandinavian countries (Norway, Sweden, and Finland). In addition, the economic approach to global ecosystem services is poor, the assessment proposed by Costanza et al. (1997), despite the many criticisms of methodological rigor, is still the most important point of reference. For Romania, the assessment of ecosystem services is at the beginning, but we can speak about a growing interest to conduct such studies.
Predicting Highly Rated Crowdfunded Products

Online crowdfunding platforms have given creators new opportunities to obtain funding. Despite the popularity and success of many projects on the platforms, the quality of crowd-funded products in the market (e.g., Amazon) was not statistically and scientifically evaluated yet. To fill the gap, in this paper, we (i) compare crowdfunded products with traditional products in terms of their ratings in the largest e-commerce market, Amazon; (ii) analyze characteristics of the successful products (received ≥4 star) and unsuccessful products (received < 4 star); and (iii) build machine learning models in three different stages, which predict whether a crowdfunded product will receive high star ratings or not. Our experimental results show that crowdfunded products, on average, received lower rating than traditional products. Our predictive models effectively identify which product will receive high star-ratings from customers on Amazon. The datasets used in this paper will be available at http://web.cs. wpi.edu/~kmlee/data.html.
Overregulation in Physical Education - Teaching Behavior Effects on Self-Regulated Motor Learning

This study examines students’ use of self-regulated motor learning strategies related to a congruent or incongruent teacher-student fit-constellation of perceived and preferred teaching behavior. In a cross-sectional study in German grammar schools, 1452 students and 18 physical education teachers participated. The results of the study indicate that students apply more self-regulated motor learning strategies in specific fit-constellation. In addition, when the teachers’ self-perception of teaching behavior exceeds the respective perception and preference of the students, this overregulation impairs the satisfaction with and interest in physical education as well as self-regulated motor learning
An empirical‐stochastic, event‐based program for simulating inflow from a tributary network: Framework and application to the Sacramento River basin, California

A stochastic streamflow program was developed to simulate inflow to a large river from a network of gauged tributaries. The program uses historical streamflow data from major tributary gauges near their confluence with the main stem and combines them stochastically to represent spatial and temporal patterns in flood events. It incorporates seasonality, event basis, and correlation in flood occurrence and flood peak magnitude between basins. The program produces synchronous tributary inflow hydrographs, which when combined and routed, reproduce observed main stem hydrograph characteristics, including peak, volume, shape, duration, and timing. Verification of the program is demonstrated using daily streamflow data from primary tributary and main stem gauges in the Sacramento River basin, California. The program is applied to simulating flow at ungauged main stem locations, assessing risk in fluvial systems, and detecting bed level change.
We Still Don't Have Secure Cross-Domain Requests: an Empirical Study of CORS

The default Same Origin Policy essentially restricts access of cross-origin network resources to be “write-only”. However, many web applications require “read” access to contents from a different origin, so developers have come up with workarounds, such as JSON-P, to bypass the default Same Origin Policy restriction. Such ad-hoc workarounds leave a number of inherent security issues. CORS (cross-origin resource sharing) is a more disciplined mechanism supported by all web browsers to handle cross-origin network accesses. This paper presents our empirical study about the real-world uses of CORS. We find that the design, implementation, and deployment of CORS are subject to a number of new security issues: 1) CORS relaxes the cross-origin “write” privilege in a number of subtle ways that are problematic in practice; 2) CORS brings new forms of risky trust dependencies into web interactions; 3) CORS is generally not well understood by developers, possibly due to its inexpressive policy and its complex and subtle interactions with other web mechanisms, leading to various misconfigurations. Finally, we propose protocol simplifications and clarifications to mitigate the security problems uncovered in our study. Some of our proposals have been adopted by both CORS specification and major browsers.
Neural stem cell transplantation and BDNF in the 3 xTg-AD mouse model

© The Author 2014. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com 1 Stem cells slow cognitive decline in Alzheimer’s disease via neurotrophin action
Bias patterns and climate change signals in GCM-RCM model chains

The assessment of regional climate change and the associated planning of adaptation and response strategies are often based on complex model chains. Typically these employ global and regional climate models (GCMs and RCMs), as well as one or several impact models. It is a common belief that the errors in such model chains behave approximately additive, thus the uncertainty should increase with each modeling step. If this hypothesis was true, the application of RCMs would not lead to any intrinsic improvement (beyond higher-resolution details) of the GCM results. Here, we investigate the bias patterns (offset during the historical period against observations) and climate change signals of two RCMs that have downscaled a comprehensive set of GCMs following the EURO-CORDEX framework. Our results show that the biases of the RCMs and GCMs are not additive and not independent. The two RCMs are systematically reducing the biases and modifying climate change signals of the driving GCMs, even on scales that are considered well resolved by the driving GCMs. The GCM projected summer warming at the end of the century is substantially reduced by both RCMs. These results are important, as the projected summer warming and its likely impact on the water cycle are among the most serious concerns regarding European climate change.
Social impact of soybean in Nigerias southern Guinea savanna

Most impact studies of agricultural technologies use economic models, with little direct attention being paid to the actual impact on the lives of resource-poor farmers. This paper uses a social impact assessment (SIA) framework to examine the level of adoption and impact of soybean on farm households in Nigeria based on a survey of 203 households in Benue State. The results show that the status of soybean has changed from a traditionally male controlled minor export crop, to one of the most important crops cultivated by the majority of male and female farmers. More women have become involved in soybean production as improved varieties and household utilization technologies have become readily available. The new varieties have been widely adopted, beginning with 9% of farmers in 1989 reaching over 75% in 1997, and these now occupy about 30% of the total soybean land area. Analysis conducted with a Tobit model showed that farmers’ socioeconomic characteristics and farmers’ assessment of the attributes of improved varieties were both important in explaining their adoption behavior. The adoption of soybean has had a clear positive impact on household income generation and distribution, material welfare, human capital development, gender relations, resource use, social equity, and other social processes in the community. Many innovations in soybean utilization have been adopted, to the extent that soybean has become a staple food. The results further showed that the nutritional status of children was significantly better in soybean producing/using households than in those that did not use soybean. A multivariate analysis of the nutritional status of children showed that soybean consumption, income earned from soybean, and women’s production of soybean had significant positive impacts on both the shortand long-term nutritional status indices. The results of this study provide a strong case for the promotion of soybean as a cheap solution for malnutrition and a means of poverty alleviation for poor people.
Molecular Phylogeny of the Endangered Vietnamese Paphiopedilum Species Based on the Internal Transcribed Spacer of the Nuclear Ribosomal DNA

We have sequenced the internal transcribed spacer (ITS) region (including ITS1, 5.8S, and ITS2) of 16 species and two varieties of the slipper orchid genus Paphiopedilum in Vietnam. The identification of relationship between those species was also assessed using molecular tool. Most of slipper orchid species in Vietnam are now endangered or threatened to extinction due high demand of ornamental trade of these beautiful species. However, it is difficult to distinguish them without their flowers. Therefore, it is needed to develop molecular markers to accurately identify these species. Our present study is in the view to set the first steps in constructing a molecular database of slipper orchids for future assessment of inter- and intra-specific molecular diversity of Paphiopedilum species from Vietnam, to contribute to the conservation of these valuable orchids. The results showed that highly variable areas (that contain many indels) in ITS region are useful for phylogenetic analysis as the dataset containing these long-indels areas and gave better Jack-knife supports in resolving the relationships of Paphiopedilum species than the modified dataset did.
Intrusion Detection Techniques in Cloud Computing: A Review

In this paper a review of cloud-based intrusion detection system was provided. The review gives a detailed taxonomy of the existing approaches adopted by researchers in cloud intrusion detection system. The components of the taxonomy are the detection domain, detection technique, strategy for creating normal profile the architectural structure adopted by the intrusion detection system and the detection time. Based on the review open problems and research direction in cloud intrusion detection was provided.
Optimization of biomass production of Acetobacter pasteurianus KU710511 as a potential starter for fruit vinegar production

The objective of the present work was first the isolation of novel acetic acid bacteria strains from natural Moroccan habitats, and then, the evaluation of their ability to produce microbial starters for vinegar production on a large scale. The strains were isolated from figs, dates, cactus, and traditional fruit vinegars. Four strains, selected from a total of 63 isolates, were confirmed as belonging to Acetobacter species according to biochemical and molecular studies based on 16s rRNA sequence analysis. Acetous fermentation tests, performed on date and apple fermented juices using selected Acetobacter strains, showed a high capacity of acidification. The most efficient strain KU710511, isolated from Morrocan cactus (Opuntia ficus-indica), was identified as Acetobacter strain closely related to A. pasteurianus and yielded 42.5 g/L acidity in apple juice. Cell growth optimization was carried out for KU710511 using response surface methodology (RSM). The linear, quadratic, and interaction effects of four factors-ethanol, acetic acid, glucose concentrations and pH-were studied by the application of a central composite design. Thirty experiments were designed to predict the maximum concentration of cell biomass. The optimal calculated values of ethanol, acetic acid, glucose and pH allowing the prediction of the maximum biomass production (2.21 g/L) were 28.18, 10.12, 15.15 and 5.33 g/L, respectively. Subsequently, further batch fermentations were carried out in a 6-L lab-bioreactor at optimal conditions. The results were in line with the predicted values. It can be concluded that the studied strain is well suited to be used as a parental strain to prepare a starter for fruit vinegar production. Key words: Isolation, vinegar, starter, Acetobacter, acetic fermentation, response surface methodology.
Visualization of Explanations in Recommender Systems

Explanations in recommender systems have gained an increasing importance in the last few years. It was found that explanations can help increase users' acceptance of collaborative filtering recommender systems, helping them make decisions more quickly, convincing them to buy and even developing trust as a whole. They can also help in decision support and in problem solving. While the majority of research has focused on the algorithms behind recommender systems, little emphasis was put on interface which is crucial in improving user experience especially if we know that communicating reasoning to users is considered an important aspect of assessing recommender systems. The importance of this paper is that it lies in the area of controlling the recommendation process which gained little attention so far. The focus is on the visualization of explanations in recommender systems. We will learn what modalities (E.g. text, graphs, tables, and images) can better present explanations to users, through the review of a selection of papers in the literature over the last few years. The results show that explanations with simple graphs and descriptions can better present explanations (meaning that complex graphical interfaces can confuse users). The rest of this paper is organized as follows: the next section gives an introduction to explanations in recommender systems. Then, we talk about the relationship between visualization of explanations and other disciplines such as human computer interaction and decision making. We then talk about the different methods of information visualization especially those used when explanations are involved. The paper ends with conclusions and perspectives for future work. 
Knowledge Representation in Entity-Centric Knowledge Bases

Entity-centric knowledge bases are large collections of facts about entities of public interest, such as countries, politicians, or movies. They find applications in search engines, intelligent assistants, and semantic data mining systems. In this paper, we discuss the knowledge representation that has emerged as a pragmatic consensus in the research community of entity-centric knowledge bases. We describe popular design choices, and point out the assumptions on which they rely. We also discuss current challenges in knowledge representation.
Carbon Flux Distribution in An Cultures of Strep

The carbon metabolism of derivatives of Streptomyces lividans growing under phosphate limitation in chemostat cultures and producing the antibiotics actinorhodin and undecylprodigiosin was investigated. By applying metabolic flux analysis to a stoichiometric model, the relationship between antibiotic production, biomass accumulation, and carbon flux through the major carbon metabolic pathways (the Embden Meyerhoff Parnas and pentose–phosphate pathways) was analyzed. Distribution of carbon flux through the catabolic pathways was shown to be dependent on growth rate, as well as on the carbon and energy source (glucose or gluconate) used. Increasing growth rates promoted an increase in the flux of carbon through glycolysis and the pentose–phosphate pathway. The synthesis of both actinorhodin and undecylprodigiosin was found to be inversely related to flux through the pentose–phosphate pathway.
Improved Categorization of Computer-assisted Ontology Construction Systems: focus on Bootstrapping capabilities

In this research we investigate the problem of ontology construction in both automatic and semi-automatic approaches. Four categories have been defined in the literature to classify such approaches: 1. Conversion or translation, 2. Mining based, 3. External knowledge based, and 4. Frameworks. Using this classification, we present in this paper an updated state of the art with 13 new research approaches. We also propose additional characterization of existing work according to features that we newly introduce: 1. reusability, 2. type of extracted data, 3. bootstrapping capabilities. These features are crucial for on-tology construction because they address two key issues: the cold start problem (i.e. starting the development of an ontology from a blank page) and the lack of availability of domain experts. We finally describe a func-tionality for ontology construction based on the bootstrapping feature. For this feature we take advantage of large public knowledge bases. We report on a comparative study between our system and the existing ones on the wine ontology.
A formalist perspective on language acquisition

Language acquisition is a computational process by which linguistic experience is integrated into the learner’s initial stage of knowledge. To understand language acquisition thus requires precise statements about these components and their interplay, stepping beyond the philosophical and methodological disputes such as the generative vs. usage-based approaches. I review several mathematical models that have guided the study of child language acquisition: How learners integrate experience with their prior knowledge of linguistic structures, How researchers assess the progress of language acquisition with rigor and clarity, and How children form the rules of language even in the face of exceptions. I also suggest that these models are applicable to second language acquisition (L2), yielding potentially important insights on the continuities and differences between child and adult language.