Miracle-dz/UniFAR-FTUs huggingface dataset:
LearnTeamPlenum – A Pragmatic Approach for Inverted Teaching

The paper proposes a new teaching approach, that combines ideas from justin-time-teaching (JiTT) and the inverted classroom (IC). It has been adapted from the LearnTeamCoaching. In comparison with other inverted teaching scenarios, it requires less preparation effort on the instructor side, i.e. no videos and no intensive just-in-time preparation. The students are asked to investigate the subject autonomously using provided papers and the Internet. In the common lecture – the plenum the reflection of the learning matter is based on student’s questions and posters that have been prepared as a result of the investigation. The plenum is moderated by the students. The paper introduces the method and provides details regarding the experience gained during its fourfold application at the HTW Berlin in the study program computer science and business administration. In the end, the application of the method for different subjects and different organizational settings is discussed.
Line matching of wide baseline images in an affine projection space

ABSTRACT Line matching plays an important role in vision localization and three-dimensional reconstruction of building structures. The conventional method of line matching is not effective for processing stereo images with wide baselines and large viewing angles. This paper proposes a line matching method in an affine projection space, aiming to solve the problem of change of viewing angles in aerial oblique images. Firstly, monocular image orientation can be performed through geometric structures of buildings. Secondly, according to the pose information of the camera, the affine projection matrix is obtained. The original image can be rectified as a conformal image based on this projection matrix, thereby reducing the difference in the viewing angle between images. Then, line matching is performed on the rectified images to get the matched line pairs. Finally, the inverse affine projection matrix is used to back-project the matched line pairs to the original images. The experimental results of five groups of aerial oblique images show that the matched line segments obtained by the proposed method are basically superior to those of the methods which are directly processed on the original image in terms of quantity, correctness, and efficiency.
'Cost of Production' and the Theory of the Rate of Profit

Adam Smith set economists and examination question: what determines long-run normal prices and the associated rate of profit. The fundamental difficulty is that the long-run equilibrium prices of reproducible means of production (Smith’s “natural” prices) must satisfy two conditions at the same time: they must clear the markets for the endowment of reproducible goods, and must be equal to the long-run prices associated with the reproduction of those goods. <br><br>In the determination of normal prices in an economy with reproducible means of production, the term “cost of production” has no meaning since prices of reproducible goods enter their own “cost”. The concept of cost production is valid in an economy in which goods are defined by their physical essence and their location in time, when by definition no good is reproduced and “discounted” prices are determined without reference to a rate of interest (i.e. rate of profit). But the interpretation of such prices as “embodying” a general rate of interest lacks any coherent foundation, as was made clear by Malinvaud (1965, p.233):<br><br>…. the relationships studied here are meaningful only under precise normalisation rules for undiscounted prices. Only discounted prices are determined by competitive equilibrium, or by the price system associated with an optimum. In the absence of a normalisation rule the interest rates are not defined and can assume any value greater than -1. <br><br>There is no neo-classical theory of the rate of profit. <br><br>
Multi‐Source Research Designs on Ethical Leadership: A Literature Review

The aim of this article is to undertake a systematic literature review (SLR) of empirical research that uses multi&#8208;source methods for collecting data about Ethical Leadership (EL). Research on this sensitive subject benefits from the inclusion of data from more than one source, in order to be better supported, and thus contribute to a deeper understanding of leadership and business ethics issues. The search strategy retrieved a total of 50 multi&#8208;source empirical studies on the topic of EL, published until December 2017. This SLR shows that (a) research on EL has focused mostly on the perceptions of followers, possibly because they are the most accessible target of its outcomes, thus restricting the scope of this body of research; (b) EL is studied mainly through consideration of its consequences, a restriction that hinders explanation of the causal processes involved in ethical leadership, which remains a research arena in need of development. The systematic inclusion of other stakeholders in multi&#8208;source methods is advanced as a way to further develop the field.
Who wrote this scientific text

The IEEE bibliographic database contains a number of proven duplications with indication of the original paper(s) copied. This corpus is used to test a method for the detection of hidden intertextuality (commonly named "plagiarism"). The intertextual distance, combined with the sliding window and with various classification techniques, identifies these duplications with a very low risk of error. These experiments also show that several factors blur the identity of the scientific author, including variable group authorship and the high levels of intertextuality accepted, and sometimes desired, in scientific papers on the same topic.
Towards real-time lighting-aware scene capture from a moving camera

The level of complexity of maps created by monocular SLAM is on the rise. Increases in computational power have taken us from sparse feature maps to fully dense 3D reconstructions. Still, none of these are making full use of the wealth of information available from a live, monocular video feed. Aside from geometry there are the effects of lighting, reflection and shadow which are often ignored but give us vital clues into the types of surfaces being observed. We take some steps to extend the maps generated by monocular SLAM by considering real-time acquisition of surface reflectance and lighting information. In robotics, such information could be used to help determine materials, aiding object detection and semantic understanding, thus enabling better interaction with the environment. In augmented reality lighting and reflectance information is essential to make virtual objects blend seamlessly into the real world. In this thesis we will demonstrate real-time capture of planar surface light-fields, a convenient representation to infer lighting and reflectance information. On a tangent we then investigate how sculptors manipulate geometry to alter the effects of illumination and reflectance, changing our perception and enhancing details; a technique required to bring a piece of work to life when sculpting in a medium of constant albedo. We attempt to apply some of these sculptors techniques in a mesh editing tool we call sculptural stylisation. Finally, we investigate methods for recovering the geometry of surfaces from a monocular camera in an attempt to extend our work on planar surface light-fields to work in 3D: we present various ways to generate depth-maps from a monocular video stream and detail a system to fuse them together into a consistent 3D model.
Modeling, Simulation and Implementation of PV Cell/Modules Using PSpice

This paper presents a Spice model of a photovoltaic cell. This model is based on mathematical equations and is described through an equivalent circuit including a photocurrent source, a diode, a series resistor and a shunt resistor. The PSpice is used to simulate a circuit based model for PV cells then to conduct behavioral study under varying conditions of solar insolation including shading effect, temperature, diode model parameters, series and shunt resistance . The study is very helpful in clearly outlining the principles and the intricacies of PV cells and may surely be used to verify impact of different topologies and control techniques on the performance of different types of PV system. In order to validate the developed model, an experimental test bench was built and the obtained results exhibited a good agreement with the simulation ones.
Problem Behaviors and Response to Reading Intervention for Upper Elementary Students With Reading Difficulties

This study investigated the extent to which problem behaviors were factors associated with response to a year-long multicomponent reading intervention for fourth- and fifth-grade students with reading difficulties. Students scoring ≤85 standard score on the Test of Silent Reading Efficiency and Comprehension (n = 108), a reading fluency and comprehension screener measure, were randomized to the researcher-provided treatment condition (n = 55) or the business-as-usual comparison condition (n = 53). Results indicated that problem behaviors were associated with lower reading comprehension outcomes. Findings also suggested that students with higher levels of overall problem behaviors and externalizing behaviors in the treatment condition outperformed similar students in the comparison condition on the Gates-MacGinitie Reading Test (p < .05). Future research is needed on how to best identify, develop, and adapt effective interventions for students with reading difficulties and problem behaviors within school-wide response to intervention frameworks.
Impacts of Future Climate Predictions on Second Season Maize in an Agrosystem on a Biome Transition Region in Mato Grosso State

Abstract Climate change promotes variations in climatic elements necessary for crop growth and development, such as temperature and rainfall, potentially impacting yields of staple crops. The objective of this study was to assess future climate projections, derived from Intergovernmental Panel on Climate Change, and their impacts on second season maize in a region of Mato Grosso state. Field experiments in the 15/16 season comprising different sowing dates and hybrids maturities in rainfed conditions were used for crop model adjustment and posterior simulation of experiments. Crop simulations comprised historical (1980-2010) and future (2010-2100) time frames combined with local crop management practices. Results showed decreases of 50-89% in grain yields, with the most pessimistic scenarios at the latest sowing date at the end of the century. Decreases in the duration of crop cycle and in the efficiency of water use were observed, indicating the negative impacts of projected higher temperatures and drier conditions in crop development. Results highlight the unfeasibility of practicing late sowing dates in second season for maize in the future, indicating the necessity of adjusting management practices so that the double-cropping production system is possible.
Perceptions du changement climatique, impacts environnementaux et stratégies endogènes d’adaptation par les producteurs du Centre-nord du Burkina Faso

Le changement climatique represente une menace potentielle majeure pour la viabilite des menages ruraux d’Afrique subsaharienne qui vivent principalement de l’exploitation des ressources naturelles. Cette etude a pour but d’analyser les perceptions des producteurs agricoles du changement climatique, ses impacts sur l’environnement, les strategies d’adaptation et les relations qui existent entre ces differents aspects. Des enquetes ont ete realisees au travers de discussions de groupes et d’un questionnaire individuel administre a 300 menages dans le Centre-nord du Burkina Faso. Un modele Logit binaire a permis d’identifier les facteurs qui influencent les perceptions locales du changement climatique et le choix des strategies d’adaptation. L’etude montre que les producteurs percoivent une baisse des pluies (76,7 %), une hausse des temperatures (97 %) et des vents violents (98,7 %). Le niveau d’education du chef de menage, la taille, l’appartenance a une organisation paysanne et le nombre de bovins determinent cette perception. La degradation des terres se traduit essentiellement par des sols denudes, la reduction des ligneux et la faiblesse des rendements agricoles. Les principales strategies d’adaptation sont l’adoption des techniques de conservation des eaux et des sols (CES), la possession de fosses fumieres, l’irrigation et l’adaptation varietale. Les facteurs determinants de cette adaptation sont la possession de pioches et de pelles, l’appartenance a une organisation paysanne, la formation en technologies agricoles et l’acces au credit. L’adoption d’une strategie d’adaptation par un producteur depend de sa perception du changement climatique et de ses causes, ses impacts negatifs sur l’environnement et des moyens disponibles pour apporter des solutions.
A Multimodal Approach to Sarcasm Detection on Social Media

In recent times, a major share of human communication takes place online. The main reason being the ease of communication on social networking sites (SNSs). Due to the variety and large number of users, SNSs have drawn the attention of the computer science (CS) community, particularly the affective computing (also known as emotional AI), information retrieval, natural language processing, and data mining groups. Researchers are trying to make computers understand the nuances of human communication including sentiment and sarcasm. Emotion or sentiment detection requires more insights about the communication than it does for factual information retrieval. Sarcasm detection is particularly more difficult than categorizing sentiment. Because, in sarcasm, the intended meaning of the expression by the user is opposite to the literal meaning. Because of its complex nature, it is often difficult even for human to detect sarcasm without proper context. However, people on social media succeed in detecting sarcasm despite interacting with strangers across the world. That motivates us to investigate the human process of detecting sarcasm on social media where abundant context information is often unavailable and the group of users communicating with each other are rarely well-acquainted. We have conducted a qualitative study to examine the patterns of users conveying sarcasm on social media. Whereas most sarcasm detection systems deal in word-by-word basis to accomplish their goal, we focused on the holistic sentiment conveyed by the post. We argue that utilization of word-level information will limit the systems performance to the domain of the dataset used to train the system and might not perform well for non-English language. As an endeavor to make our system less dependent on text data, we proposed a multimodal approach for sarcasm detection. We showed the applicability of images and reaction emoticons as other sources of hints about the sentiment of the post. Our research showed the superior results from a multimodal approach when compared to a unimodal approach. Multimodal sarcasm detection systems, as the one presented in this research, with the inclusion of more modes or sources of data might lead to a better sarcasm detection model.
FINANCIAL SYSTEM DEVELOPMENT AND ECONOMIC GROWTH IN THE EASTERN EUROPEAN COUNTRIES

Economic theory suggests that an efficient financial system which channels capital to its most productive uses creates an advantageous climate for economic growth. Sound and efficient financial system is important for sustaining growth in developing Eastern European countries, because efficiency of investment will overshadow quantity of investment as a driver of growth in the region. Therefore, this paper examines the possible causal relationship between financial sector development and economic growth among Eastern European countries. Theoretical aspect points to presence of complex relationship between the financial system development and economic growth. Empirical evidence depends on the time period analyzed as well as the sub-samples of the possible correlation of the financial development with economic growth, which can be positive or negative. The annual data used indicate that the causality in Granger sense of this process can run one way or another, depending on the country in question.
Modeling of Liquid Droplet Impingement onto Ti-6Al-4V Substrate

Droplet impingement is of great interest to power generation and aerospace industries due to the accrued cost of maintenance in steam and gas turbines. The repetitive impacts of liquid droplets onto rotor blades, at high relative velocities, result in the blade erosion, which is known as Liquid Impingement Erosion (LIE). In this regard, it is crucial to understand the hydrodynamics of the impact in order to identify the consequent solid response before addressing the LIE problem. To that end, modeling the impact of liquid droplets onto the blade surface is the main objective of the present work. A novel model for Fluid-Solid Interaction is developed that couples the gas-liquid interfacial model with the structural solver using one-way and two-way coupling algorithms. Furthermore, the effect of the solid elasticity on the generated pressure build-up in the liquid and the resulting stress in the solid are investigated.
Using a tetrahedral mesh for simulation of internal flows by the DSMC method

The paper describes the speciﬁc features of using a tetrahedral mesh for simulating rareﬁed gas ﬂows by the DSMC method by an example of the SMILE++ software system. Algorithms used for modeling molecule transfer and for computation parallelization are presented; an example of modeling a ﬂow in a microchannel is described.
Go urban or stay rural: determinants of young farmers staying in or leaving agricultural field (a case study in Cisondari, West Java, Indonesia)

Although agriculture workforce plays an important role in agricultural development, aging workforce in agriculture is often put in the periphery. The interest of youth in agriculture is declining due to the diminishing popularity of agricultural field compared to non-agriculture sector in term of future personal welfare security. However, Cisondari, a village in Bandung Regency showed an anomaly. Organic farming in that area is proliferating and growing and is motored by the youths. This study aims to identify the determinants of young farmers for choosing to stay in the rural area and develop their agriculture, despite its adjacent location to Bandung city and amid high rate of urbanization; and how their role contributed to the development of organic farming in the area. The study applies sequential exploratory mixed methods, which relies heavily on qualitative approach which is then complemented by quantitative approach. Data were collected through in-depth interview to key informants, participant observation, field observation, document and artefact analysis; while quantitative data were collected through structured interviews to selected respondents. The results showed that farmers characteristics, innovativeness, and environment became the most dominant factors in determining their motives to stay in rural areas.
State assignment problem in systems biology and medicine: on the importance of state interaction network topology

A fundamental problem in medicine and biology is to assign states, e.g. healthy or diseased, to cells, organs or individuals. State assignment or making a diagnosis is often a nontrivial and challenging process and, with the advent of omics technologies, the diagnostic challenge is becoming more and more serious. The challenge lies not only in the increasing number of measured properties and dynamics of the system (e.g. cell or human body) but also in the co-evolution of multiple states and overlapping properties, and degeneracy of states. We develop, from first principles, a generic rational framework for state assignment in cell biology and medicine, and demonstrate its applicability with a few simple theoretical case studies from medical diagnostics. We show how disease-related statistical information can be used to build a comprehensive model that includes the relevant dependencies between clinical and laboratory findings (signs) and diseases. In particular, we include disease-disease and sign-sign interactions. We then study how one can infer the probability of a disease in a patient with given signs. We perform comparative analysis with simple benchmark models to check the performances of our models. This first principles approach, as we show, enables the construction of consensus diagnostic flow charts and facilitates the early diagnosis of disease. Additionally, we envision that our approach will find applications in systems biology, and in particular, in characterizing the phenome via the metabolome, the proteome, the transcriptome, and the genome.
Pomegranate Trees Productivity in Response to Three Levels of Irrigation and Slow or Fast Nitrogen Release Fertilizer as Well as their Combinations.

This investigation was carried out during two successive seasons of 2014 and 2015 on mature pomegranate trees cv. Manfalouty grown in calcareous soil at Borg-El-Arab region, Alexandria governorate, Egypt. It was conducted to determine if a combination of fast or slow release (i e phosphorus coated urea PCU 37%) nitrogen fertilizer with different levels of soil moisture can enhance growth of Manfalouty pomegranate trees with high productivity as compared to the current production practices as well as to reduce both rate and number of soil applications during the growing season. The results showed that all vegetative growth, leaf mineral contents and fruit characteristics parameters were significantly affected by interaction between levels of soil moisture of field capacity (FC) and slow-release nitrogen fertilizer. The chemical fruit characteristics, i e TSS, TSS/ acidity, vitamin C and anthocyanin were the maximum values at 50% FC + 400 g actual slow release nitrogen fertilizer, while the acidity value was the highest in the treatment of 100% FC + 200 g/tree as a slow release nitrogen fertilizer in both seasons. The fruit set was the maximum at 75% FC +200 or 300 g actual slow release nitrogen fertilizer in the first and second seasons, respectively. Also, yield showed the highest significant values of 44.1 and 47.1 Kg/tree with the treatment of 100% FC+ 400 g/tree in the first and second seasons, respectively. Moreover, the results showed that the combination between the 100% FC irrigation treatment and the highest amount of slow release fertilizer of 400 g actual slow release nitrogen fertilizer /tree produced the highest values of most vegetative growth traits i.e., tree height, shoot length, dry weight of 30 leaves, and chlorophyll content (SPAD) in both seasons. Also leaf nitrogen, potassium, phosphorus and magnesium content was increased under such conditions.