Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of different formulations of Trichoderma for their shelf life

Eleven formulations of Trichoderma asperellum were evaluated in present investigation, among these four types of tablets formulation viz. talc tablets, charcoal tablets, lignite tablets, fly ash tablets, six capsules formulations viz. talc capsule, alginate capsules, gelatin capsules, alginate + charcoal capsules, gelatin + fly ash capsules and T. asperellum frozen culture mass along with medium disc capsules and one sorghum grains formulation as a control were used and observation on shelf life up to 270 days from date of manufacturing at regular intervals of 30 days were taken. Maximum cfu/g (42.00 x 10) was obtained in Trichoderma treatment frozen culture mass along with medium disc capsule and least cfu/g was recorded in T. asperellum lignite tablet (11.33 × 10 cfu/g) upto 270 days of storage. In the present study tablet and capsule delivery system of various formulations was tried by using jaggery treatment. Maximum population of T. asperellum obtained (45.00 × 10 cfu/ml) in T. asperellum frozen culture mass along with medium disc capsule and minimum were obtained in T. asperellum lignite tablets, (8.33 × 10cfu/ml).
A Scalable SSM-based Multicast Communication Layer for Multimedia Networked Virtual Environments

This paper describes a communication layer which is suitable for real-time multimedia virtual environments (VEs) that need to achieve high scalability such as computer games involving multimedia exchanges. This approach is based on the Single Source Multicast (SSM) model as the underlying network infrastructure. Though the SSM model might, at first glance, look more appropriate for streaming-like applications, we show that it is possible to take advantage of such a communication layer to solve the new issues that the application layer has to address in the SSM environment. We even outline that SSM has benefits over Any Source Multicast (ASM), in that it provides greater flexibility in flow management. As opposed to alternative techniques such as peer-to-peer overlays, the use of network-layer multicast performs very well in terms of latency. Our demonstration application embeds multimedia conferencing capabilities to demonstrate that real-time and massively multi-player applications can be successfully implemented on top of this communication layer.
Approaches to Modeling Interpersonal Complementarity in Intensive Longitudinal Data

Interpersonal theory posits that successful social interactions are characterized by complementarity: a match in the interpersonal warmth and reciprocity in the interpersonal dominance expressed by interaction partners. Social encounters with high interpersonal complementarity are linked to better affect. Despite complementarity by definition being a two-dimensional construct, researchers often model warmth and dominance separately. Because interpersonal theory underscores the importance of both dimensions in understanding social interactions, it is important that methods of combining the two dimensions are developed for stronger tests of the theory. The present study presents two possible methods of modeling interpersonal complementarity across three separate datasets. Results are compared with the traditional approach of modeling warmth and dominance separately. Discrepancies and parallels between approaches are discussed, as well as the theoretical and statistical value of modeling warmth and dominance together.
Development of Framework for Aggregation and Visualization of Three-Dimensional (3D) Spatial Data

Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utilizing the available geospatial information. These disparate data sources must be aggregated before further extraction and analysis may be performed. The objective of this paper is to develop a framework called PlaniSphere, which aggregates various geospatial datasets, synthesizes raw data, and allows for third party customizations of the software. PlaniSphere uses NASA World Wind to access remote data and map servers using Web Map Service (WMS) as the underlying protocol that supports service-oriented architecture (SOA). The results show that PlaniSphere can aggregate and parses files that reside in local storage and conforms to the following formats: GeoTIFF, ESRI shape files, and KML. Spatial data retrieved using WMS from the Internet can create geospatial data sets (map data) from multiple sources, regardless of who the data providers are. The plug-in function of this framework can be expanded for wider uses, such as aggregating and fusing geospatial data from different data sources, by providing customizations to serve future uses, which the capacity of the commercial ESRI ArcGIS software is limited to add libraries and tools due to its closed-source architectures and proprietary data structures. Analysis and increasing availability of geo-referenced data may provide an effective way to manage spatial information by using large-scale storage, multidimensional data management, and Online Analytical Processing (OLAP) capabilities in one system.
Technology Support for Learning Scientific Control as a Whole Class

Third grade students used wireless handhelds and a large shared display in a whole class activity to discover strategies for the control of variables in scientific experiments. The technology suite supported activity requirements including synchronous individual control, face-to-face interaction, and instantaneous display updates. In an empirical study, students demonstrated learning in both task-specific and transfer domains. Analysis of activity discourse yields a representation of “theory salience” that encapsulates student progress toward the task goal.
Breast density pattern characterization by histogram features and texture descriptors

Introduction Breast cancer is the first leading cause of death for women in Brazil as well as in most countries in the world. Due to the relation between the breast density and the risk of breast cancer, in medical practice, the breast density classification is merely visual and dependent on professional experience, making this task very subjective. The purpose of this paper is to investigate image features based on histograms and Haralick texture descriptors so as to separate mammographic images into categories of breast density using an Artificial Neural Network. Methods We used 307 mammographic images from the INbreast digital database, extracting histogram features and texture descriptors of all mammograms and selecting them with the K-means technique. Then, these groups of selected features were used as inputs of an Artificial Neural Network to classify the images automatically into the four categories reported by radiologists. Results An average accuracy of 92.9% was obtained in a few tests using only some of the Haralick texture descriptors. Also, the accuracy rate increased to 98.95% when texture descriptors were mixed with some features based on a histogram. Conclusion Texture descriptors have proven to be better than gray levels features at differentiating the breast densities in mammographic images. From this paper, it was possible to automate the feature selection and the classification with acceptable error rates since the extraction of the features is suitable to the characteristics of the images involving the problem.
The Nature and Nurture of HEXACO Personality Trait Differences

Abstract. This study was designed to provide detailed estimates of genetic and environmental sources of variance in the HEXACO personality traits. For this purpose, we analyzed data from a German extended twin family study including 573 pairs of twins as well as 208 mothers, 119 fathers, 228 spouses, and 143 offspring of twins. All participants provided self-reports on the HEXACO-60. Extended twin family analyses using structural equation modeling (SEM) yielded that additive and nonadditive genetic influences accounted for about 50% of the variance in personality traits. The remaining variance was primarily due to individual-specific environmental sources and random measurement error. Spousal similarity in Openness was attributable to assortative mating, whereas spousal similarity in Honesty-Humility was attributable to environmental circumstances, partly due to a shared social background and spouse-specific effects. Our analyses yielded specifics for different personality traits. However, transmission of trait similarity from one generation to the next was primarily genetic.
Zero-Shot Relation Extraction from Word Embeddings

Author(s): Goldstein, Orpaz | Advisor(s): Van den Broeck, Guy | Abstract: Word embeddings learned from text are well-known to capture relational information. However, extracting such relations and their associated vectors is typically performed manually, to illustrate what knowledge is embedded in the space. We propose an automated approach to mine word embeddings for sets of entities of the same type, as well as relationships that hold between them. Our approach starts from a single seed entity and extracts a relational representation from the surrounding vector space. It does so without any relational supervision. Experiments show that our extraction algorithm outperforms spectral clustering and indeed is able to extract high-quality relations from noisy embeddings.
Mapping citizens' identification with the EU

Do citizens show different patterns of European identification? Are the results driven by specific regional characteristics? Has Cohesion Policy an influence on EU citizens’ identification? With the aim to answer these questions, we develop a novel probabilistic model that allows classification of citizens according to their different patterns of identification with Europe and the European project. This model exploits the heterogeneity of citizens’ identification patterns across the European regions and how they are influenced by individual and regional characteristics. The results of the analysis at regional level are presented with regards to nine case-study regions. The model builds on PERCEIVE’s research results that develop the theoretical framework for the definition and measurement of the level of identification with EU and its drivers. can be identified as: the trust in EU institutions, the effectiveness of EU Cohesion Policy and spending, and the level of perceived corruption at the national and EU level. Our results suggest that
AWERProcedia Information Technology & Computer Science

Companies in the freight transportation industry can currently make use of an increasing number of Information and Communication Technology (ICT) applications to improve the performance of their transportation process. Although these applications are becoming progressively more widespread, there is still little research focusing on their adoption level, especially looking at the contract logistics arena. The present study aims to expand previous research by providing an empirical analysis of ICT adoption in the Third Party Logistics (3PL) industry, involving 45 companies. The paper focuses specifically on Transportation Management Systems (TMS) and develops a general framework of analysis
Gender and Social Justice: An Examination of Attitudes and Behaviors Among Undergraduate Liberal Arts Students

This study examines university student attitudes concerning social justice and their perceptions of inequality. In this article, we explore how gender shapes students’ understanding of issues of inequality, sexism, racism, classism, and their inclinations to act against these issues. This research seeks to explore how gender shapes students’ understanding of social justice. Moreover, it seeks to answer the following questions: Are women or men more willing to engage in social justice actions? Are women or men more likely to recognize and perceive inequality? Lastly, are women or men more determined to do something to achieve social justice? Results show that women students are far more likely to identify inequality and engage in actions to achieve social justice.
DEVELOPMENT OF AN INSTRUMENT TO MEASURE PRESCHOOL TEACHERS´ BELIEFS IN INQUIRY-BASED ACTIVITIES

Professional beliefs is an important factor that influences activities that preschool teachers organize and manage in the classroom. In order to determine how strong these beliefs are, valid and reliable instruments must be at disposal. This research aimed to develop and validate DPBA, an instrument designed to measure teachers´ beliefs toward the use of inquiry-based activities in preschool classes. A sample of 1,004 Czech preschool teachers was used to obtain the validation data. From the initial set of 40 items, a final version of DPBA with 22 items was created in a series of analyses. Principal component and maximum likelihood methods with Varimax rotation were used to extract an appropriate scale structure. DPBA is composed of three subscales, Benefits (12 items), Teacher competence (6 items) and Concerns (4 items), which have reliabilities of . 906; . 847 and . 729, respectively. The overall reliability of the instrument is . 883. Consistently high reliability coefficients were obtained in subsamples of respondents of varied years of practice and education, thus verifying a solid internal consistency of the instrument. Confirmatory factor analysis proved a theoretical model with the three subscales with adequate model fit indices. Overall, DPBA possesses sound psychometric properties when used with Czech preschool teachers. Keywords: inquiry-based activities, preschool teacher, instrument development, teacher beliefs.
Influence of micro-grooves on the lubrication performance of a misaligned bearing

Surface texturing for improving the lubrication performance of journal bearings has been widely investigated in the last two decades. In practical applications, the misalignment of a journal bearing occurs due to the asymmetric bearing load, elastic deflection, manufacturing tolerances, and installation errors. However, there has been little discussion on the influence of grooves on the lubrication performance of misaligned bearings. In the present work, numerical predictions of lubrication performances are presented to test the influence of the grooves. Based on the JFO boundary condition, a mass conservation algorithm is implemented to automatically determine the position of oil film rupture and reformation. The load-carrying capacity, friction force, friction coefficient, and bearing moment are computed numerically. The influence of angular position of the groove is first conducted in a misaligned bearing. Subsequently, the groove depth and width are investigated with different values of D m and B / D ratios, respectively.
Deep classification hashing for person re-identification

As the development of surveillance in public, person re-identification becomes more and more important. The largescale databases call for efficient computation and storage, hashing technique is one of the most important methods. In this paper, we proposed a new deep classification hashing network by introducing a new binary appropriation layer in the traditional ImageNet pre-trained CNN models. It outputs binary appropriate features, which can be easily quantized into binary hash-codes for hamming similarity comparison. Experiments show that our deep hashing method can outperform the state-of-the-art methods on the public CUHK03 and Market1501 datasets.
Dynamics of Infiltration Rate and Field-Saturated Soil Hydraulic Conductivity in a Wastewater-Irrigated Cropland

The maintenance of a soil’s infiltration rate (IR) and field-saturated hydraulic conductivity (Kfs) is crucial for the long-term sustainable functioning of wastewater-irrigated lands. However, an effective procedure for reliably measuring in situ soil Kfs remains elusive. To address this issue, this study investigated the dualhead infiltrometer (DHI), a novel instrument for automatically determining IR and Kfs, and compared it with a traditional double-ring infiltrometer (DRI) under various field conditions. In the initial phase, we optimized the procedure and settings for the DHIs in a cropland that was spray-irrigated with secondary-treated wastewater for decades in central Pennsylvania. Results showed that our optimized procedure, which used a single, long pressure cycle, yielded more robust measurements of IR than the originally recommended sequence of two short pressure cycles. The values of Kfs measured by the DHIs with optimized settings were similar to those measured by DRIs under many (but not all) field conditions, due to their differences in infiltration surface areas, operational procedures, length of infiltration time, and soil spatiotemporal variability. Viscosity-corrected Kfs on the irrigated cropland was 123.8 ± 94.0 mm∙h−1, higher than that on the adjacent non-irrigated cropland (103.2 ± 94.6 mm∙h−1), but the difference was not statistically significant, owing to the high degree of soil spatiotemporal variability and our limited number of measurements. Nevertheless, the higher Kfs values measured on irrigated cropland reflect observed changes in soil structure (e.g., soil pore characteristics) that resulted from decades of irrigation. Seasonal variations in Kfs values existed between winter and summer conditions, but IRs during all seasons remained much higher than the current spray-irrigation rate (4.25 mm∙h−1), suggesting that the soil is still capable of handling the routine irrigation, even during winter. However, the coefficients of variation exceeded 67.0% across the field sites investigated, and the time periods covered by our measurements were limited. As this specific site is permitted to discharge treated wastewater year-round, caution must still be exercised to ensure that soil Kfs remains high enough to prevent runoff generation, especially during winter frozen conditions.
Structural Equations Modeling in Developmental Research Concepts and Applications 1

This article discusses structural models for developmental research. First, it gives a brief overview of structural modeling using the well-known LISREL notation. Then, characteristics of well-fitting models are reviewed. These characteristics are presented with the goal in mind of presenting complete reports of structural models such that readers are enabled to derive their own conclusions concerning a model. The features of developmental models are discussed. Models are developmental in particular when some variation of time or age is central to the hypotheses under study. Data examples are presented from a study on the long-term effects of biological and social risks in infancy and early childhood. These examples suggest that performance in academic subjects in school at age 11 can be predicted based on information of early risks. The models are discussed with reference to the characteristics of well-fitting models.
The mediation role of academic procrastination on the effect of the university students’ long-term orientation to career intention in the tourism industry

Individuals who are trained at university level are expected to work in appropriate jobs for their education. In this direction, a research has been carried out to determine the mediating role of academic procrastination behaviours under the influence of tourism education students' career intentions in tourism. In the descriptive study, the data were compiled with a questionnaire based on the literature. The universe of the research consists of undergraduate and graduate students in Turkey. The target population of the research consists of the students who reregister in the fall semester of 2016-2017 academic year for the Tourism Management program of the Faculty of Tourism and Tourism and Hotel Management program for the Vocational School of Tourism of the two public universities. The questionnaire was applied face-to-face between November 23, December 5, 2016, using the convenience sampling technique. The data of 462 questionnaires were subjected to factor analysis and stepwise regression analysis as well as descriptive statistics. It was determined that 9.3% of the planning and diligence can explain career intention in tourism. In addition, it was found that diligence was a partial mediator. The study concludes with the suggestion that students who want to pursue a career in tourism sector should achieve this not only with their planning but also with their diligence.
Analysis of Garbage Collector Algorithms in Non-Volatile Memory Devices

ii Acknowledgments. v Vita . vi List of Tables . viii List of Figures . ix Chapter 1: Introduction . 1 Chapter 2: Background and Related Work . 5 Chapter 3: Methodology . 12 Chapter 4: Analytical Modeling. 24 Chapter 5: Simulation results . 37 Chapter 6: Conclusion and Future Work . 57 Bibliography . 59
A Marketplace for Cyber-Physical Production Systems: Architecture and Key Enablers

With the Industry 4.0, which can be referred to as the fourth industrial revolution, the concept of Smart Factories has emerged into the spotlight. This new trend in automation and manufacturing encompasses a wide range of technologies such as Cyber-Physical Systems (CPS), the Internet of Things (IoT), and Cloud computing. The conjunction of these technologies creates new opportunities at all levels, such as technological, economical, and societal. In this paper, an architecture that combines results from two European R&D projects is presented. The aim of the proposed architecture it to allow a step forward in utilizing all the advantages of the Industry 4.0 concept and the technological advances. The ultimate goal of the proposed architecture is to allow the existence of a flow of information from the physical equipment in the shop-floor up to an on-line Marketplace, and to allow a safe and reliable way of using all the information. Keywords–Smart factories; Intelligent Production systems; Industry 4.0; Cyber-physical systems; Marketplace.